From 726b72aaa5a306b8f7663f865efec0dd6c5232c3 Mon Sep 17 00:00:00 2001
From: "github-merge-queue[bot]"
 <github-merge-queue[bot]@users.noreply.github.com>
Date: Tue, 29 Jul 2025 13:39:09 +0000
Subject: [PATCH] deploy: 575cde3e8d1d640de871dc10b74967f4da4f4b18

---
 404.html                                      |  2 +-
 about-langflow.html                           |  2 +-
 agent-tutorial.html                           | 10 +++---
 agents-tools.html                             | 11 +++++--
 agents.html                                   | 14 +++++---
 api-build.html                                |  4 +--
 api-files.html                                |  6 ++--
 api-flows-run.html                            |  6 ++--
 api-flows.html                                |  2 +-
 api-logs.html                                 |  2 +-
 api-monitor.html                              |  2 +-
 api-projects.html                             |  2 +-
 api-reference-api-examples.html               |  2 +-
 api-users.html                                |  2 +-
 api.html                                      |  2 +-
 api/add-server.html                           |  2 +-
 api/add-user.html                             |  2 +-
 api/auto-login.html                           |  2 +-
 api/build-flow.html                           |  2 +-
 api/build-public-tmp.html                     |  2 +-
 api/build-vertex-stream.html                  |  2 +-
 api/build-vertex.html                         |  2 +-
 api/cancel-build.html                         |  2 +-
 api/check-if-store-has-api-key.html           |  2 +-
 api/check-if-store-is-enabled.html            |  2 +-
 api/check-installed-mcp-servers.html          |  2 +-
 api/create-api-key-route.html                 |  2 +-
 api/create-flow.html                          |  2 +-
 api/create-flows.html                         |  2 +-
 api/create-folder-redirect.html               |  2 +-
 api/create-project.html                       |  2 +-
 api/create-upload-file.html                   |  2 +-
 api/create-variable.html                      |  2 +-
 api/custom-component-update.html              |  2 +-
 api/custom-component.html                     |  2 +-
 api/delete-all-files-1.html                   |  2 +-
 api/delete-all-files.html                     |  2 +-
 api/delete-api-key-route.html                 |  2 +-
 api/delete-file-1.html                        |  2 +-
 api/delete-file.html                          |  2 +-
 api/delete-files-batch.html                   |  2 +-
 api/delete-flow.html                          |  2 +-
 api/delete-folder-redirect.html               |  2 +-
 api/delete-messages-session.html              |  2 +-
 api/delete-messages.html                      |  2 +-
 api/delete-multiple-flows.html                |  2 +-
 api/delete-project.html                       |  2 +-
 api/delete-server.html                        |  2 +-
 api/delete-user.html                          |  2 +-
 api/delete-variable.html                      |  2 +-
 api/delete-vertex-builds.html                 |  2 +-
 api/download-component.html                   |  2 +-
 api/download-file-1.html                      |  2 +-
 api/download-file-2.html                      |  2 +-
 api/download-file-redirect.html               |  2 +-
 api/download-file.html                        |  2 +-
 api/download-files-batch.html                 |  2 +-
 api/download-image.html                       |  2 +-
 api/download-multiple-file.html               |  2 +-
 api/download-profile-picture.html             |  2 +-
 api/edit-file-name.html                       |  2 +-
 api/experimental-run-flow.html                |  2 +-
 api/get-all.html                              |  2 +-
 api/get-api-keys-route.html                   |  2 +-
 api/get-build-events.html                     |  2 +-
 api/get-components.html                       |  2 +-
 api/get-config.html                           |  2 +-
 api/get-elevenlabs-voice-ids.html             |  2 +-
 api/get-list-of-components-liked-by-user.html |  2 +-
 api/get-message-sessions.html                 |  2 +-
 api/get-messages.html                         |  2 +-
 api/get-server-endpoint.html                  |  2 +-
 api/get-servers.html                          |  2 +-
 api/get-starter-projects.html                 |  2 +-
 api/get-tags.html                             |  2 +-
 api/get-task-status.html                      |  2 +-
 api/get-transactions.html                     |  2 +-
 api/get-version.html                          |  2 +-
 api/get-vertex-builds.html                    |  2 +-
 api/handle-messages-1.html                    |  2 +-
 api/handle-messages.html                      |  2 +-
 api/handle-project-messages-with-slash.html   |  2 +-
 api/handle-project-messages.html              |  2 +-
 api/handle-project-sse.html                   |  2 +-
 api/handle-sse-1.html                         |  2 +-
 api/handle-sse.html                           |  2 +-
 api/health-check.html                         |  2 +-
 api/health.html                               |  2 +-
 api/install-mcp-config.html                   |  2 +-
 api/like-component.html                       |  2 +-
 api/list-files-1.html                         |  2 +-
 api/list-files-2.html                         |  2 +-
 api/list-files.html                           |  2 +-
 api/list-profile-pictures.html                |  2 +-
 api/list-project-tools.html                   |  2 +-
 api/login-to-get-access-token.html            |  2 +-
 api/logout.html                               |  2 +-
 api/logs.html                                 |  2 +-
 api/patch-user.html                           |  2 +-
 api/post-validate-code.html                   |  2 +-
 api/post-validate-prompt.html                 |  2 +-
 api/process-1.html                            |  2 +-
 api/process.html                              |  2 +-
 api/read-all-users.html                       |  2 +-
 api/read-basic-examples.html                  |  2 +-
 api/read-current-user.html                    |  2 +-
 api/read-flow.html                            |  2 +-
 api/read-flows.html                           |  2 +-
 api/read-folder-redirect.html                 |  2 +-
 api/read-folders-redirect.html                |  2 +-
 api/read-project.html                         |  2 +-
 api/read-projects.html                        |  2 +-
 api/read-public-flow.html                     |  2 +-
 api/read-variables.html                       |  2 +-
 api/refresh-token.html                        |  2 +-
 api/reset-password.html                       |  2 +-
 api/retrieve-vertices-order.html              |  2 +-
 api/save-store-api-key.html                   |  2 +-
 api/share-component.html                      |  2 +-
 api/simplified-run-flow.html                  |  2 +-
 api/stream-logs.html                          |  2 +-
 api/update-flow.html                          |  2 +-
 api/update-folder-redirect.html               |  2 +-
 api/update-message.html                       |  2 +-
 api/update-project-mcp-settings.html          |  2 +-
 api/update-project.html                       |  2 +-
 api/update-server-endpoint.html               |  2 +-
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 api/upload-file-1.html                        |  2 +-
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 api/upload-file.html                          |  2 +-
 api/upload-user-file-1.html                   |  2 +-
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 assets/js/03aeaaab.12f90601.js                |  1 -
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 assets/js/cce672fb.62e5edf9.js                |  1 +
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 assets/js/f01590dc.297e4b83.js                |  1 -
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 assets/js/fbcfc90d.0d1b6659.js                |  1 +
 assets/js/fbcfc90d.a079b093.js                |  1 -
 ...n.679f183a.js => runtime~main.446c6220.js} |  2 +-
 basic-prompting.html                          |  6 ++--
 blog-writer.html                              |  6 ++--
 bundles-aiml.html                             |  2 +-
 bundles-amazon.html                           |  2 +-
 bundles-anthropic.html                        |  2 +-
 bundles-arxiv.html                            |  2 +-
 bundles-azure.html                            |  2 +-
 bundles-baidu.html                            |  2 +-
 bundles-bing.html                             |  2 +-
 bundles-cloudflare.html                       |  2 +-
 bundles-cohere.html                           |  2 +-
 bundles-datastax.html                         |  5 +--
 bundles-deepseek.html                         |  2 +-
 bundles-duckduckgo.html                       |  2 +-
 bundles-exa.html                              |  2 +-
 bundles-glean.html                            |  2 +-
 bundles-google.html                           |  2 +-
 bundles-groq.html                             |  2 +-
 bundles-huggingface.html                      |  2 +-
 bundles-ibm.html                              |  2 +-
 bundles-icosacomputing.html                   |  2 +-
 bundles-langchain.html                        |  2 +-
 bundles-lmstudio.html                         |  2 +-
 bundles-maritalk.html                         |  2 +-
 bundles-mem0.html                             |  2 +-
 bundles-mistralai.html                        |  2 +-
 bundles-novita.html                           |  2 +-
 bundles-nvidia.html                           |  2 +-
 bundles-ollama.html                           |  2 +-
 bundles-openai.html                           |  2 +-
 bundles-openrouter.html                       |  2 +-
 bundles-perplexity.html                       |  2 +-
 bundles-redis.html                            |  2 +-
 bundles-sambanova.html                        |  2 +-
 bundles-searchapi.html                        |  2 +-
 bundles-vertexai.html                         |  2 +-
 bundles-wikipedia.html                        |  2 +-
 bundles-xai.html                              |  2 +-
 chat-with-files.html                          | 22 ++++++-------
 chat-with-rag.html                            | 12 +++----
 components-agents.html                        |  2 +-
 components-bundle-components.html             |  2 +-
 components-custom-components.html             |  2 +-
 components-data.html                          |  8 ++---
 components-embedding-models.html              |  2 +-
 components-helpers.html                       |  2 +-
 components-io.html                            |  2 +-
 components-logic.html                         |  2 +-
 components-memories.html                      |  2 +-
 components-models.html                        |  2 +-
 components-processing.html                    |  8 ++---
 components-prompts.html                       |  2 +-
 components-tools.html                         |  2 +-
 components-vector-stores.html                 |  4 +--
 concepts-components.html                      |  2 +-
 concepts-file-management.html                 |  2 +-
 concepts-flows-import.html                    |  4 +--
 concepts-flows.html                           |  2 +-
 concepts-overview.html                        |  2 +-
 concepts-playground.html                      |  2 +-
 concepts-publish.html                         |  2 +-
 concepts-voice-mode.html                      | 10 ++++--
 configuration-api-keys.html                   |  2 +-
 configuration-authentication.html             |  2 +-
 configuration-cli.html                        |  9 +++--
 configuration-custom-database.html            | 12 ++++---
 configuration-global-variables.html           |  2 +-
 contributing-bundles.html                     |  2 +-
 contributing-community.html                   |  2 +-
 contributing-component-tests.html             |  2 +-
 contributing-components.html                  |  2 +-
 contributing-github-issues.html               |  2 +-
 contributing-how-to-contribute.html           |  5 ++-
 contributing-telemetry.html                   |  4 +--
 contributing-templates.html                   |  4 +--
 data-types.html                               |  2 +-
 deployment-caddyfile.html                     |  2 +-
 deployment-docker.html                        |  2 +-
 deployment-gcp.html                           |  2 +-
 deployment-hugging-face-spaces.html           |  2 +-
 deployment-kubernetes-dev.html                | 21 ++++++------
 deployment-kubernetes-prod.html               |  2 +-
 deployment-overview.html                      |  2 +-
 deployment-prod-best-practices.html           |  4 +--
 deployment-public-server.html                 | 15 +++------
 deployment-railway.html                       |  2 +-
 deployment-render.html                        | 16 +++++----
 develop-application.html                      |  2 +-
 document-qa.html                              |  6 ++--
 environment-variables.html                    |  2 +-
 financial-report-parser.html                  |  6 ++--
 get-started-installation.html                 |  2 +-
 get-started-quickstart.html                   |  2 +-
 index.html                                    |  2 +-
 install-custom-dependencies.html              | 10 ++++--
 integrations-apify.html                       |  2 +-
 integrations-arize.html                       |  6 ++--
 integrations-assemblyai.html                  | 14 +++++---
 integrations-cleanlab.html                    |  4 +--
 integrations-composio.html                    |  2 +-
 integrations-docling.html                     |  7 ++--
 integrations-google-big-query.html            |  3 +-
 integrations-langfuse.html                    |  6 ++--
 integrations-langsmith.html                   |  6 ++--
 integrations-langwatch.html                   |  6 ++--
 integrations-nvidia-g-assist.html             |  4 +--
 integrations-nvidia-ingest-wsl2.html          | 23 +++++++++----
 integrations-nvidia-ingest.html               |  6 ++--
 integrations-opik.html                        |  6 ++--
 .../notion/notion-agent-conversational.html   | 10 +++---
 .../notion/notion-agent-meeting-notes.html    | 12 +++----
 integrations/notion/setup.html                | 33 ++++++++++++-------
 logging.html                                  | 11 +++++--
 luna-for-langflow.html                        |  2 +-
 mcp-client.html                               |  2 +-
 mcp-component-astra.html                      |  6 ++--
 mcp-server.html                               | 10 +++---
 mcp-tutorial.html                             |  8 ++---
 memory-chatbot.html                           | 13 ++++----
 memory.html                                   |  2 +-
 release-notes.html                            |  2 +-
 search.html                                   |  2 +-
 sequential-agent.html                         |  8 ++---
 session-id.html                               |  2 +-
 simple-agent.html                             |  6 ++--
 sitemap.xml                                   |  2 +-
 travel-planning-agent.html                    |  8 ++---
 troubleshoot.html                             |  2 +-
 typescript-client.html                        |  2 +-
 vector-store-rag.html                         | 17 ++++------
 webhook.html                                  |  2 +-
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diff --git a/404.html b/404.html
index 583090ea1c..48e55ab5d2 100644
--- a/404.html
+++ b/404.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/about-langflow.html b/about-langflow.html
index bbcc8e9d68..4ee89a91ba 100644
--- a/about-langflow.html
+++ b/about-langflow.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/agent-tutorial.html b/agent-tutorial.html
index 0fe49a9e89..ade00fee65 100644
--- a/agent-tutorial.html
+++ b/agent-tutorial.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -53,10 +53,10 @@
 <p>With the agent connected, your application can use any connected tools to retrieve more contextual and timely data without changing any application code. The tools are selected by the agent&#x27;s internal LLM to solve problems and answer questions.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="/configuration-api-keys">A Langflow API key</a></li>
-<li><a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
-<li><a href="/typescript-client">Langflow JavaScript client installed</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create a <a href="/configuration-api-keys">Langflow API key</a></li>
+<li>Install the <a href="/typescript-client">Langflow JavaScript client</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <p>This tutorial uses an OpenAI LLM. If you want to use a different provider, you need a valid credential for that provider.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-an-agentic-flow">Create an agentic flow<a href="#create-an-agentic-flow" class="hash-link" aria-label="Direct link to Create an agentic flow" title="Direct link to Create an agentic flow">​</a></h2>
diff --git a/agents-tools.html b/agents-tools.html
index 532efc1476..4c984051bd 100644
--- a/agents-tools.html
+++ b/agents-tools.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -127,7 +127,14 @@ Your flow should be visible in the response as a tool.</li>
 The connected flow returns an answer based on your question.
 For example, a Basic Prompting flow connected as a tool returns a different result depending upon its LLM and prompt instructions.</li>
 </ol>
-<p><img decoding="async" loading="lazy" alt="Run Flow as tool connected to an agent" src="/assets/images/agent-example-run-flow-as-tool-d9830a35be2ea5ac0fc76e1e3cc5692b.png" width="4000" height="2860" class="img_ev3q"></p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/agents"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Use Langflow agents</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/mcp-client"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Use Langflow as an MCP client</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#edit-a-tool-components-actions" class="table-of-contents__link toc-highlight">Edit a tool component&#39;s actions</a></li><li><a href="#use-an-agent-as-a-tool" class="table-of-contents__link toc-highlight">Use an agent as a tool</a></li><li><a href="#components-as-tools" class="table-of-contents__link toc-highlight">Add custom components as tools</a></li><li><a href="#make-any-component-a-tool" class="table-of-contents__link toc-highlight">Make any component a tool</a></li><li><a href="#use-flows-as-tools" class="table-of-contents__link toc-highlight">Use flows as tools</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+<p><img decoding="async" loading="lazy" alt="Run Flow as tool connected to an agent" src="/assets/images/agent-example-run-flow-as-tool-d9830a35be2ea5ac0fc76e1e3cc5692b.png" width="4000" height="2860" class="img_ev3q"></p>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also">​</a></h2>
+<ul>
+<li><a href="/components-agents"><strong>Agent</strong> and <strong>MCP Tools</strong> components</a></li>
+<li><a href="/agents">Use Langflow agents</a></li>
+<li><a href="/mcp-client">Use Langflow as an MCP client</a></li>
+<li><a href="/mcp-server">Use Langflow as an MCP server</a></li>
+</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/agents"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Use Langflow agents</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/mcp-client"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Use Langflow as an MCP client</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#edit-a-tool-components-actions" class="table-of-contents__link toc-highlight">Edit a tool component&#39;s actions</a></li><li><a href="#use-an-agent-as-a-tool" class="table-of-contents__link toc-highlight">Use an agent as a tool</a></li><li><a href="#components-as-tools" class="table-of-contents__link toc-highlight">Add custom components as tools</a></li><li><a href="#make-any-component-a-tool" class="table-of-contents__link toc-highlight">Make any component a tool</a></li><li><a href="#use-flows-as-tools" class="table-of-contents__link toc-highlight">Use flows as tools</a></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
                   <span>© 2025 Langflow</span>
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diff --git a/agents.html b/agents.html
index 2c9e75ddcd..9cca6c4611 100644
--- a/agents.html
+++ b/agents.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -116,7 +116,7 @@ With the given example, the agent should call the <strong>News Search</strong> c
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="agent-component-parameters">Agent component parameters<a href="#agent-component-parameters" class="hash-link" aria-label="Direct link to Agent component parameters" title="Direct link to Agent component parameters">​</a></h2>
 <p>You can configure the <strong>Agent</strong> component to use your preferred provider and model, custom instructions, and tools.</p>
 <div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>Many optional <strong>Agent</strong> component input parameters are hidden by default in the visual editor.
-You can view and toggle all parameters through the <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-sliders-horizontal" aria-hidden="true"><line x1="21" x2="14" y1="4" y2="4"></line><line x1="10" x2="3" y1="4" y2="4"></line><line x1="21" x2="12" y1="12" y2="12"></line><line x1="8" x2="3" y1="12" y2="12"></line><line x1="21" x2="16" y1="20" y2="20"></line><line x1="12" x2="3" y1="20" y2="20"></line><line x1="14" x2="14" y1="2" y2="6"></line><line x1="8" x2="8" y1="10" y2="14"></line><line x1="16" x2="16" y1="18" y2="22"></line></svg> <strong>Controls</strong> in the <a href="/concepts-components#component-menus">component&#x27;s header menu</a>.</p></div></div>
+You can access all component parameters through the <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-sliders-horizontal" aria-hidden="true"><line x1="21" x2="14" y1="4" y2="4"></line><line x1="10" x2="3" y1="4" y2="4"></line><line x1="21" x2="12" y1="12" y2="12"></line><line x1="8" x2="3" y1="12" y2="12"></line><line x1="21" x2="16" y1="20" y2="20"></line><line x1="12" x2="3" y1="20" y2="20"></line><line x1="14" x2="14" y1="2" y2="6"></line><line x1="8" x2="8" y1="10" y2="14"></line><line x1="16" x2="16" y1="18" y2="22"></line></svg> <strong>Controls</strong> in the <a href="/concepts-components#component-menus">component&#x27;s header menu</a>.</p></div></div>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="provider-and-model">Provider and model<a href="#provider-and-model" class="hash-link" aria-label="Direct link to Provider and model" title="Direct link to Provider and model">​</a></h3>
 <p>Use the <strong>Model Provider</strong> (<code>agent_llm</code>) and <strong>Model Name</strong> (<code>llm_model</code>) settings to select the model provider and LLM that you want the agent to use.</p>
 <p>The <strong>Agent</strong> component includes many models from several popular model providers.
@@ -147,8 +147,6 @@ It is recommended to use custom session IDs if you need to segregate chat memory
 <p>Although the <strong>Message History</strong> component isn&#x27;t required for default chat memory, it provides more options for sorting, filtering, and limiting memories, and the <strong>Message History</strong> component is required to use external chat memory like Mem0.</p>
 <p>For more information, see <a href="/memory#store-chat-memory">Store chat memory</a> and <a href="/components-helpers#message-history"><strong>Message History</strong> component</a>.</p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="additional-parameters">Additional parameters<a href="#additional-parameters" class="hash-link" aria-label="Direct link to Additional parameters" title="Direct link to Additional parameters">​</a></h3>
-<p>Many optional <strong>Agent</strong> component input parameters are hidden by default in the visual editor.
-You can view and toggle all parameters through the <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-sliders-horizontal" aria-hidden="true"><line x1="21" x2="14" y1="4" y2="4"></line><line x1="10" x2="3" y1="4" y2="4"></line><line x1="21" x2="12" y1="12" y2="12"></line><line x1="8" x2="3" y1="12" y2="12"></line><line x1="21" x2="16" y1="20" y2="20"></line><line x1="12" x2="3" y1="20" y2="20"></line><line x1="14" x2="14" y1="2" y2="6"></line><line x1="8" x2="8" y1="10" y2="14"></line><line x1="16" x2="16" y1="18" y2="22"></line></svg> <strong>Controls</strong> in the <a href="/concepts-components#component-menus">component&#x27;s header menu</a>.</p>
 <p>With the <strong>Agent</strong> component, the available parameters can change depending on the selected provider and model.
 For example, some models support additional modes, arguments, or features like chat memory and temperature.</p>
 <p>Some additional input parameters include the following:</p>
@@ -157,10 +155,16 @@ For example, some models support additional modes, arguments, or features like c
 <li><strong>Handle Parse Errors</strong> (<code>handle_parsing_errors</code>): When enabled (<code>true</code>), this setting allows the agent to fix errors, like typos, when analyzing user input.</li>
 <li><strong>Verbose</strong> (<code>verbose</code>): When enabled (<code>true</code>), this setting records detailed logging output for debugging and analysis.</li>
 </ul>
+<p>To view and configure all parameters, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-sliders-horizontal" aria-hidden="true"><line x1="21" x2="14" y1="4" y2="4"></line><line x1="10" x2="3" y1="4" y2="4"></line><line x1="21" x2="12" y1="12" y2="12"></line><line x1="8" x2="3" y1="12" y2="12"></line><line x1="21" x2="16" y1="20" y2="20"></line><line x1="12" x2="3" y1="20" y2="20"></line><line x1="14" x2="14" y1="2" y2="6"></line><line x1="8" x2="8" y1="10" y2="14"></line><line x1="16" x2="16" y1="18" y2="22"></line></svg> <strong>Controls</strong> in the <a href="/concepts-components#component-menus">component&#x27;s header menu</a>.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="agent-component-output">Agent component output<a href="#agent-component-output" class="hash-link" aria-label="Direct link to Agent component output" title="Direct link to Agent component output">​</a></h2>
 <p>The <strong>Agent</strong> component outputs a <strong>Response</strong> (<code>response</code>) that is <a href="/data-types#message"><code>Message</code> data</a> containing the agent&#x27;s raw response to the query.</p>
 <p>Typically, this is passed to a <strong>Chat Output</strong> component to return the response in a human-readable format.
-It can also be passed to other components if you need to process the response further before, or in addition to, returning it to the user.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/concepts-flows-import"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Import and export flows</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/agents-tools"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Configure tools for agents</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#use-the-agent-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the Agent component in a flow</a></li><li><a href="#agent-component-parameters" class="table-of-contents__link toc-highlight">Agent component parameters</a><ul><li><a href="#provider-and-model" class="table-of-contents__link toc-highlight">Provider and model</a></li><li><a href="#model-provider-api-key" class="table-of-contents__link toc-highlight">Model provider API key</a></li><li><a href="#agent-instructions-and-input" class="table-of-contents__link toc-highlight">Agent instructions and input</a></li><li><a href="#tools" class="table-of-contents__link toc-highlight">Tools</a></li><li><a href="#agent-memory" class="table-of-contents__link toc-highlight">Agent memory</a></li><li><a href="#additional-parameters" class="table-of-contents__link toc-highlight">Additional parameters</a></li></ul></li><li><a href="#agent-component-output" class="table-of-contents__link toc-highlight">Agent component output</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+It can also be passed to other components if you need to process the response further before, or in addition to, returning it to the user.</p>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also">​</a></h2>
+<ul>
+<li><a href="/components-agents"><strong>Agent</strong> and <strong>MCP Tools</strong> components</a></li>
+<li><a href="/agents-tools">Configure tools for agents</a></li>
+</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/concepts-flows-import"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Import and export flows</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/agents-tools"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Configure tools for agents</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#use-the-agent-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the Agent component in a flow</a></li><li><a href="#agent-component-parameters" class="table-of-contents__link toc-highlight">Agent component parameters</a><ul><li><a href="#provider-and-model" class="table-of-contents__link toc-highlight">Provider and model</a></li><li><a href="#model-provider-api-key" class="table-of-contents__link toc-highlight">Model provider API key</a></li><li><a href="#agent-instructions-and-input" class="table-of-contents__link toc-highlight">Agent instructions and input</a></li><li><a href="#tools" class="table-of-contents__link toc-highlight">Tools</a></li><li><a href="#agent-memory" class="table-of-contents__link toc-highlight">Agent memory</a></li><li><a href="#additional-parameters" class="table-of-contents__link toc-highlight">Additional parameters</a></li></ul></li><li><a href="#agent-component-output" class="table-of-contents__link toc-highlight">Agent component output</a></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
                   <span>© 2025 Langflow</span>
                   <span id="preferenceCenterContainer"> ·&nbsp; <a href="https://langflow.org/preferences">Manage Privacy Choices</a></span>
                   </div></li></ul></div></div><div class="footer__bottom text--center"><div class="margin-bottom--sm"><img src="/img/lf-docs-light.svg" alt="Langflow" class="footer__logo themedComponent_mlkZ themedComponent--light_NVdE" width="160" height="40"><img src="/img/lf-docs-dark.svg" alt="Langflow" class="footer__logo themedComponent_mlkZ themedComponent--dark_xIcU" width="160" height="40"></div></div></div></footer><div style="position:fixed;right:20px;bottom:20px;z-index:100;display:flex;align-items:center;gap:10px;cursor:pointer"><div style="background-color:#f6f6f6;border-radius:50%;width:48px;height:48px;display:flex;align-items:center;justify-content:center;box-shadow:0 2px 4px rgba(0,0,0,0.1)"><img src="/img/langflow-icon-black-transparent.svg" style="width:40px" alt="Search"></div></div></div>
diff --git a/api-build.html b/api-build.html
index 50289f3ea4..93edd93232 100644
--- a/api-build.html
+++ b/api-build.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -49,7 +49,7 @@
         </a>
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">API reference</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Build endpoints</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Build endpoints</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
-<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>The <code>/build</code> endpoints are used by Langflow&#x27;s frontend Workspace and Playground code.
+<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>The <code>/build</code> endpoints are used by Langflow&#x27;s frontend <strong>Workspace</strong> and <strong>Playground</strong> code.
 These endpoints are part of the internal Langflow codebase.</p><p>Don&#x27;t use these endpoints to run flows in applications that use your Langflow flows.
 To run flows in your apps, see <a href="/api-flows-run">Flow trigger endpoints</a>.</p></div></div>
 <p>The <code>/build</code> endpoints support Langflow&#x27;s frontend code for building flows in the Langflow Workspace.
diff --git a/api-files.html b/api-files.html
index 30c326d0d8..adccdd3879 100644
--- a/api-files.html
+++ b/api-files.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -127,8 +127,8 @@ You must include the ampersand (<code>@</code>) in the request to instruct curl
 </li>
 </ol>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="send-files-to-your-flows-v2">Send files to your flows (v2)<a href="#send-files-to-your-flows-v2" class="hash-link" aria-label="Direct link to Send files to your flows (v2)" title="Direct link to Send files to your flows (v2)">​</a></h3>
-<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>The <code>/v2/files</code> endpoint does not support sending <strong>image</strong> files to flows.
-To send <strong>image</strong> files to your flows through the API, follow the procedure in <a href="#upload-image-files-v1">Upload image files (v1)</a>.</p></div></div>
+<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>The <code>/v2/files</code> endpoint can&#x27;t send image files to flows.
+To send image files to your flows through the API, see <a href="#upload-image-files-v1">Upload image files (v1)</a>.</p></div></div>
 <p>Send a file to your flow for analysis using the <a href="/components-data#file">File</a> component and the API.
 Your flow must contain a <a href="/components-data#file">File</a> component to receive the file.</p>
 <p>The default file limit is 100 MB. To configure this value, change the <code>LANGFLOW_MAX_FILE_SIZE_UPLOAD</code> environment variable.
diff --git a/api-flows-run.html b/api-flows-run.html
index dec861892c..bff3b1648b 100644
--- a/api-flows-run.html
+++ b/api-flows-run.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -77,10 +77,10 @@ For an example of a script that extracts data from a Langflow API response, see
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>curl -X POST \</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>  &quot;$LANGFLOW_SERVER_URL/api/v1/run/$FLOW_ID?stream=true&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>  -H &quot;Content-Type: application/json&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>  -H &quot;accept: application/json&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>  -H &quot;x-api-key: $LANGFLOW_API_KEY&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>  -d &#x27;{</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>    &quot;input_value&quot;: &quot;Tell me a story&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>    &quot;input_type&quot;: &quot;chat&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>    &quot;output_type&quot;: &quot;chat&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>    &quot;output_component&quot;: &quot;chat_output&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>    &quot;session_id&quot;: &quot;chat-123&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>    &quot;tweaks&quot;: {</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>      &quot;component_id&quot;: {</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>        &quot;parameter_name&quot;: &quot;value&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>      }</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>    }</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>  }&#x27;</span></div></div><br></code></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="webhook-run-flow">Webhook run flow<a href="#webhook-run-flow" class="hash-link" aria-label="Direct link to Webhook run flow" title="Direct link to Webhook run flow">​</a></h2>
 <p>Use the <code>/webhook</code> endpoint to start a flow by sending an HTTP <code>POST</code> request.</p>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>After you add a <strong>Webhook</strong> component to a flow, open the <a href="/concepts-publish"><strong>API access</strong> pane</a>, and then click the <strong>Webhook cURL</strong> tab to get an automatically generated <code>POST /webhook</code> request for your flow.</p></div></div>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>After you add a <a href="/components-data#webhook"><strong>Webhook</strong> component</a> to a flow, open the <a href="/concepts-publish"><strong>API access</strong> pane</a>, and then click the <strong>Webhook cURL</strong> tab to get an automatically generated <code>POST /webhook</code> request for your flow.
+For more information, see <a href="/webhook">Trigger flows with webhooks</a>.</p></div></div>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>curl -X POST \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  &quot;$LANGFLOW_SERVER_URL/api/v1/webhook/$FLOW_ID&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  -H &quot;Content-Type: application/json&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  -H &quot;x-api-key: $LANGFLOW_API_KEY&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  -d &#x27;{&quot;data&quot;: &quot;example-data&quot;}&#x27;</span></div></div><br></code></div></div>
 <details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Result</summary><div><div class="collapsibleContent_i85q"><div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>{</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  &quot;message&quot;: &quot;Task started in the background&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  &quot;status&quot;: &quot;in progress&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><br></code></div></div></div></div></details>
-<p>For more information, see <a href="/components-data#webhook">Webhook component</a> and <a href="/webhook">Trigger flows with webhooks</a>.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="deprecated-flow-trigger-endpoints">Deprecated flow trigger endpoints<a href="#deprecated-flow-trigger-endpoints" class="hash-link" aria-label="Direct link to Deprecated flow trigger endpoints" title="Direct link to Deprecated flow trigger endpoints">​</a></h2>
 <p>The following endpoints are deprecated and replaced by the <code>/run</code> endpoint:</p>
 <ul>
diff --git a/api-flows.html b/api-flows.html
index af87c4fd16..24f8dee6b8 100644
--- a/api-flows.html
+++ b/api-flows.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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diff --git a/api-logs.html b/api-logs.html
index 69f29b665b..c6859bb0dd 100644
--- a/api-logs.html
+++ b/api-logs.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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diff --git a/api-monitor.html b/api-monitor.html
index 803945a97e..ff4b4ea169 100644
--- a/api-monitor.html
+++ b/api-monitor.html
@@ -23,7 +23,7 @@
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 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
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diff --git a/api-projects.html b/api-projects.html
index 6fa37f68b8..d90f55a782 100644
--- a/api-projects.html
+++ b/api-projects.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
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diff --git a/api-reference-api-examples.html b/api-reference-api-examples.html
index acdfad1d3b..38b4d9767f 100644
--- a/api-reference-api-examples.html
+++ b/api-reference-api-examples.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
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diff --git a/api-users.html b/api-users.html
index fc60756481..8224a7d8dc 100644
--- a/api-users.html
+++ b/api-users.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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diff --git a/api.html b/api.html
index ce222cde31..1c5eead449 100644
--- a/api.html
+++ b/api.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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diff --git a/api/add-server.html b/api/add-server.html
index df12183dad..eb9dddfa89 100644
--- a/api/add-server.html
+++ b/api/add-server.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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diff --git a/api/add-user.html b/api/add-user.html
index 560893458f..01876aa669 100644
--- a/api/add-user.html
+++ b/api/add-user.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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diff --git a/api/auto-login.html b/api/auto-login.html
index 16de775d49..c64375b8fe 100644
--- a/api/auto-login.html
+++ b/api/auto-login.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
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 <body class="navigation-with-keyboard">
diff --git a/api/build-flow.html b/api/build-flow.html
index f2cfe302e1..32e55d31d6 100644
--- a/api/build-flow.html
+++ b/api/build-flow.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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 </head>
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diff --git a/api/build-public-tmp.html b/api/build-public-tmp.html
index 8b5040fd5d..6c32e6d9ab 100644
--- a/api/build-public-tmp.html
+++ b/api/build-public-tmp.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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diff --git a/api/build-vertex-stream.html b/api/build-vertex-stream.html
index 5b2e5d54c3..b87b46ee21 100644
--- a/api/build-vertex-stream.html
+++ b/api/build-vertex-stream.html
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index 4a8b50bb11..e0fc819ff8 100644
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index 892c34cb6e..2f2ecad5d6 100644
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index ae607c66d4..d6f44a2681 100644
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index dc1c3b3d73..c27d63e1db 100644
--- a/api/create-project.html
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diff --git a/api/create-upload-file.html b/api/create-upload-file.html
index 9c6f2d9098..03abf7ff8d 100644
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diff --git a/api/create-variable.html b/api/create-variable.html
index 8deb3d488e..e6d647f66d 100644
--- a/api/create-variable.html
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diff --git a/api/custom-component-update.html b/api/custom-component-update.html
index f3ab51801a..38d74a51b6 100644
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diff --git a/api/custom-component.html b/api/custom-component.html
index 07871e2d3e..34ebf6126d 100644
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diff --git a/api/delete-all-files-1.html b/api/delete-all-files-1.html
index 5eb3f619bd..942a255e3f 100644
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index a4e752c480..9d4f75ea43 100644
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index 32a8eadaac..abea810813 100644
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diff --git a/api/delete-messages-session.html b/api/delete-messages-session.html
index ffa443d169..29fc21b098 100644
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index 4a3509296e..d1b9921b6e 100644
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index cd67c5ac2d..fec7050fa6 100644
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index 0cc01ea3df..1d716744c3 100644
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diff --git a/api/delete-user.html b/api/delete-user.html
index e0a6d97982..f367590396 100644
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index 5febe99582..77d5086df7 100644
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index 1f5e5eb837..f1d23490cf 100644
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index e65bb3ff15..74e2f7682c 100644
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index 1024e2b2fb..3a4c6cd47f 100644
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index 1e89dfc862..13d0fbb4b9 100644
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index ef8153c295..b783a5b531 100644
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index 5dfbed1526..82dcfb4f3e 100644
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index d8b1b046e1..67a3ad5775 100644
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index 72550292b8..3f66126a91 100644
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index 3e144ce041..6d6855df32 100644
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index e531f2426c..349e2f16e5 100644
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index d47a6838f7..808b42fe1f 100644
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index afb7557fea..191a6cd4c5 100644
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codebase."]}),"\n",(0,s.jsx)(e.h2,{id:"build-flow-and-stream-events",children:"Build flow and stream events"}),"\n",(0,s.jsx)(e.p,{children:"This endpoint builds and executes a flow, returning a job ID that can be used to stream execution events."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Send a POST request to the ",(0,s.jsx)(e.code,{children:"/build/$FLOW_ID/flow"})," endpoint:"]}),"\n",(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/build/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'/flow" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -d ",props:{style:{color:"#79C0FF"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "inputs": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "input_value": "Tell me a story"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }'",props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "job_id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"123e4567-e89b-12d3-a456-426614174000"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["After receiving a job ID from the build endpoint, use the ",(0,s.jsx)(e.code,{children:"/build/$JOB_ID/events"})," endpoint to stream the execution results:"]}),"\n",(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v1/build/123e4567-e89b-12d3-a456-426614174000/events" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}},{content:'"event"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"vertices_sorted"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"data"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}},{content:'"ids"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}},{content:'"ChatInput-XtBLx"',props:{style:{color:"#A5D6FF"}}},{content:"], ",props:{style:{color:"#C9D1D9"}}},{content:'"to_run"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}},{content:'"Prompt-x74Ze"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"ChatOutput-ylMzN"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"ChatInput-XtBLx"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"OpenAIModel-d1wOZ"',props:{style:{color:"#A5D6FF"}}},{content:"]}}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}},{content:'"event"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"add_message"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"data"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}},{content:'"timestamp"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"2025-03-03T17:42:23"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"sender"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"User"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"sender_name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"User"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"session_id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"d2bbd92b-187e-4c84-b2d4-5df365704201"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"text"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Tell me a story"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"files"',props:{style:{color:"#7EE787"}}},{content:": [], ",props:{style:{color:"#C9D1D9"}}},{content:'"error"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"edit"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"properties"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}},{content:'"text_color"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'""',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"background_color"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'""',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"edited"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"source"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}},{content:'"id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"display_name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"source"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:"}, ",props:{style:{color:"#C9D1D9"}}},{content:'"icon"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'""',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"allow_markdown"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"positive_feedback"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"state"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"complete"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"targets"',props:{style:{color:"#7EE787"}}},{content:": []}, ",props:{style:{color:"#C9D1D9"}}},{content:'"category"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"message"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"content_blocks"',props:{style:{color:"#7EE787"}}},{content:": [], ",props:{style:{color:"#C9D1D9"}}},{content:'"id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"28879bd8-6a68-4dd5-b658-74d643a4dd92"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"flow_id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"d2bbd92b-187e-4c84-b2d4-5df365704201"',props:{style:{color:"#A5D6FF"}}},{content:"}}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"// ... Additional events as the flow executes ...",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}},{content:'"event"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"end"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"data"',props:{style:{color:"#7EE787"}}},{content:": {}}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.code,{children:"/build/$FLOW_ID/events"})," endpoint accepts an optional ",(0,s.jsx)(e.code,{children:"stream"})," query parameter that defaults to ",(0,s.jsx)(e.code,{children:"true"}),".\nTo disable streaming and get all events at once, set ",(0,s.jsx)(e.code,{children:"stream"})," to ",(0,s.jsx)(e.code,{children:"false"}),"."]}),"\n",(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v1/build/123e4567-e89b-12d3-a456-426614174000/events?stream=false" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,s.jsx)(e.h2,{id:"build-headers",children:"Build headers"}),"\n",(0,s.jsxs)(e.table,{children:[(0,s.jsx)(e.thead,{children:(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.th,{children:"Header"}),(0,s.jsx)(e.th,{children:"Info"}),(0,s.jsx)(e.th,{children:"Example"})]})}),(0,s.jsxs)(e.tbody,{children:[(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"Content-Type"}),(0,s.jsx)(e.td,{children:"Required. Specifies the JSON format."}),(0,s.jsx)(e.td,{children:'"application/json"'})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"accept"}),(0,s.jsx)(e.td,{children:"Optional. Specifies the response format."}),(0,s.jsx)(e.td,{children:'"application/json"'})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"x-api-key"}),(0,s.jsx)(e.td,{children:"Optional. Required only if authentication is enabled."}),(0,s.jsx)(e.td,{children:'"sk-..."'})]})]})]}),"\n",(0,s.jsx)(e.h2,{id:"build-parameters",children:"Build parameters"}),"\n",(0,s.jsxs)(e.table,{children:[(0,s.jsx)(e.thead,{children:(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.th,{children:"Parameter"}),(0,s.jsx)(e.th,{children:"Type"}),(0,s.jsx)(e.th,{children:"Description"})]})}),(0,s.jsxs)(e.tbody,{children:[(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"inputs"}),(0,s.jsx)(e.td,{children:"object"}),(0,s.jsx)(e.td,{children:"Optional. Input values for flow components."})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"data"}),(0,s.jsx)(e.td,{children:"object"}),(0,s.jsx)(e.td,{children:"Optional. Flow data to override stored configuration."})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"files"}),(0,s.jsx)(e.td,{children:"array[string]"}),(0,s.jsx)(e.td,{children:"Optional. List of file paths to use."})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"start_component_id"}),(0,s.jsx)(e.td,{children:"string"}),(0,s.jsxs)(e.td,{children:["Optional. ID of the component where the execution should start. Component ",(0,s.jsx)(e.code,{children:"id"})," values can be found in ",(0,s.jsx)(e.a,{href:"/concepts-flows-import#langflow-json-file-contents",children:"Langflow JSON files"})]})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"stop_component_id"}),(0,s.jsx)(e.td,{children:"string"}),(0,s.jsxs)(e.td,{children:["Optional. ID of the component where the execution should stop. Component ",(0,s.jsx)(e.code,{children:"id"})," values can be found in ",(0,s.jsx)(e.a,{href:"/concepts-flows-import#langflow-json-file-contents",children:"Langflow JSON files"}),"."]})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"log_builds"}),(0,s.jsx)(e.td,{children:"boolean"}),(0,s.jsxs)(e.td,{children:["Optional. Control build logging. Default: ",(0,s.jsx)(e.code,{children:"true"}),"."]})]})]})]}),"\n",(0,s.jsx)(e.h3,{id:"set-start-and-stop-points",children:"Set start and stop points"}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.code,{children:"/build"})," endpoint accepts optional values for ",(0,s.jsx)(e.code,{children:"start_component_id"})," and ",(0,s.jsx)(e.code,{children:"stop_component_id"})," to control where the flow run starts and stops.\nSetting ",(0,s.jsx)(e.code,{children:"stop_component_id"})," for a component triggers the same behavior as clicking the ",(0,s.jsx)(e.strong,{children:"Play"})," button on that component, where all dependent components leading up to that component are also run.\nFor example, to stop flow execution at the OpenAI model component, run the following command:"]}),"\n",(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X 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",props:{style:{color:"#C9D1D9"}}},{content:'"sender_name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"User"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"session_id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"d2bbd92b-187e-4c84-b2d4-5df365704201"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"text"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Tell me a story"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"files"',props:{style:{color:"#7EE787"}}},{content:": [], ",props:{style:{color:"#C9D1D9"}}},{content:'"error"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"edit"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"properties"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}},{content:'"text_color"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'""',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"background_color"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'""',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"edited"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"source"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}},{content:'"id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"display_name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"source"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:"}, ",props:{style:{color:"#C9D1D9"}}},{content:'"icon"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'""',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"allow_markdown"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"positive_feedback"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"state"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"complete"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"targets"',props:{style:{color:"#7EE787"}}},{content:": []}, ",props:{style:{color:"#C9D1D9"}}},{content:'"category"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"message"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"content_blocks"',props:{style:{color:"#7EE787"}}},{content:": [], ",props:{style:{color:"#C9D1D9"}}},{content:'"id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"28879bd8-6a68-4dd5-b658-74d643a4dd92"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"flow_id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"d2bbd92b-187e-4c84-b2d4-5df365704201"',props:{style:{color:"#A5D6FF"}}},{content:"}}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"// ... Additional events as the flow executes ...",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}},{content:'"event"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"end"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:'"data"',props:{style:{color:"#7EE787"}}},{content:": {}}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.code,{children:"/build/$FLOW_ID/events"})," endpoint accepts an optional ",(0,s.jsx)(e.code,{children:"stream"})," query parameter that defaults to ",(0,s.jsx)(e.code,{children:"true"}),".\nTo disable streaming and get all events at once, set ",(0,s.jsx)(e.code,{children:"stream"})," to ",(0,s.jsx)(e.code,{children:"false"}),"."]}),"\n",(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v1/build/123e4567-e89b-12d3-a456-426614174000/events?stream=false" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,s.jsx)(e.h2,{id:"build-headers",children:"Build headers"}),"\n",(0,s.jsxs)(e.table,{children:[(0,s.jsx)(e.thead,{children:(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.th,{children:"Header"}),(0,s.jsx)(e.th,{children:"Info"}),(0,s.jsx)(e.th,{children:"Example"})]})}),(0,s.jsxs)(e.tbody,{children:[(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"Content-Type"}),(0,s.jsx)(e.td,{children:"Required. Specifies the JSON format."}),(0,s.jsx)(e.td,{children:'"application/json"'})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"accept"}),(0,s.jsx)(e.td,{children:"Optional. Specifies the response format."}),(0,s.jsx)(e.td,{children:'"application/json"'})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"x-api-key"}),(0,s.jsx)(e.td,{children:"Optional. Required only if authentication is enabled."}),(0,s.jsx)(e.td,{children:'"sk-..."'})]})]})]}),"\n",(0,s.jsx)(e.h2,{id:"build-parameters",children:"Build parameters"}),"\n",(0,s.jsxs)(e.table,{children:[(0,s.jsx)(e.thead,{children:(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.th,{children:"Parameter"}),(0,s.jsx)(e.th,{children:"Type"}),(0,s.jsx)(e.th,{children:"Description"})]})}),(0,s.jsxs)(e.tbody,{children:[(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"inputs"}),(0,s.jsx)(e.td,{children:"object"}),(0,s.jsx)(e.td,{children:"Optional. Input values for flow components."})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"data"}),(0,s.jsx)(e.td,{children:"object"}),(0,s.jsx)(e.td,{children:"Optional. Flow data to override stored configuration."})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"files"}),(0,s.jsx)(e.td,{children:"array[string]"}),(0,s.jsx)(e.td,{children:"Optional. List of file paths to use."})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"start_component_id"}),(0,s.jsx)(e.td,{children:"string"}),(0,s.jsxs)(e.td,{children:["Optional. ID of the component where the execution should start. Component ",(0,s.jsx)(e.code,{children:"id"})," values can be found in ",(0,s.jsx)(e.a,{href:"/concepts-flows-import#langflow-json-file-contents",children:"Langflow JSON files"})]})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"stop_component_id"}),(0,s.jsx)(e.td,{children:"string"}),(0,s.jsxs)(e.td,{children:["Optional. ID of the component where the execution should stop. Component ",(0,s.jsx)(e.code,{children:"id"})," values can be found in ",(0,s.jsx)(e.a,{href:"/concepts-flows-import#langflow-json-file-contents",children:"Langflow JSON files"}),"."]})]}),(0,s.jsxs)(e.tr,{children:[(0,s.jsx)(e.td,{children:"log_builds"}),(0,s.jsx)(e.td,{children:"boolean"}),(0,s.jsxs)(e.td,{children:["Optional. Control build logging. Default: ",(0,s.jsx)(e.code,{children:"true"}),"."]})]})]})]}),"\n",(0,s.jsx)(e.h3,{id:"set-start-and-stop-points",children:"Set start and stop points"}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.code,{children:"/build"})," endpoint accepts optional values for ",(0,s.jsx)(e.code,{children:"start_component_id"})," and ",(0,s.jsx)(e.code,{children:"stop_component_id"})," to control where the flow run starts and stops.\nSetting ",(0,s.jsx)(e.code,{children:"stop_component_id"})," for a component triggers the same behavior as clicking the ",(0,s.jsx)(e.strong,{children:"Play"})," button on that component, where all dependent components leading up to that component are also run.\nFor example, to stop flow execution at the OpenAI model component, run the following command:"]}),"\n",(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X 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',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -d ",props:{style:{color:"#79C0FF"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "data": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "nodes": [],',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "edges": []',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    },",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "inputs": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "input_value": "Your custom input here",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "session": "session_id"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  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\ No newline at end of file
diff --git a/assets/js/238e6167.9a4fe510.js b/assets/js/238e6167.9a4fe510.js
deleted file mode 100644
index 00b0711996..0000000000
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database list, and current date."}),"\n",(0,s.jsx)(n.li,{children:"The Meeting Summarizer analyzes the transcript and identifies tasks and action items."}),"\n",(0,s.jsxs)(n.li,{children:["The Notion Agent uses the meeting summary to:","\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:"Create new pages for new tasks"}),"\n",(0,s.jsx)(n.li,{children:"Update existing pages for existing tasks"}),"\n",(0,s.jsx)(n.li,{children:"Add content to pages with meeting notes"}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.li,{children:"The Chat Output displays a summary of actions taken in Notion."}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"run-the-notion-meeting-notes-flow",children:"Run the Notion Meeting Notes flow"}),"\n",(0,s.jsx)(n.p,{children:"To run the Notion Agent for Meeting Notes:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Open Langflow and create a new project."}),"\n",(0,s.jsxs)(n.li,{children:["Add the components listed above to your flow canvas, or download the ",(0,s.jsx)(n.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(86924).A+"",children:"Flow Meeting Agent Flow"}),"(Download link) and ",(0,s.jsx)(n.strong,{children:"Import"})," the JSON file into Langflow."]}),"\n",(0,s.jsx)(n.li,{children:"Connect the components as shown in the flow diagram."}),"\n",(0,s.jsx)(n.li,{children:"Input the Notion and OpenAI API keys in their respective components."}),"\n",(0,s.jsx)(n.li,{children:"Paste your meeting transcript into the Meeting Transcript component."}),"\n",(0,s.jsxs)(n.li,{children:["Run the flow by clicking ",(0,s.jsx)(r.A,{name:"Play","aria-hidden":"True"})," ",(0,s.jsx)(n.strong,{children:"Run component"})," on the ",(0,s.jsx)(n.strong,{children:"Chat Output"})," component."]}),"\n",(0,s.jsx)(n.li,{children:"Review the output in the Chat Output component, which will summarize the actions taken in your Notion workspace."}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"For optimal results, use detailed meeting transcripts. The quality of the output depends on the comprehensiveness of the input provided."}),"\n",(0,s.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,s.jsx)(n.p,{children:"The flow can be customized to meet your team's specific needs."}),"\n",(0,s.jsx)(n.p,{children:"Customize this flow by:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Adjusting the system prompt to change the agent's behavior or knowledge base."}),"\n",(0,s.jsx)(n.li,{children:"Adding or removing Notion tools based on your specific needs."}),"\n",(0,s.jsx)(n.li,{children:"Modifying the OpenAI model parameters (e.g., temperature) to adjust the agent's response style."}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,s.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Ensure all API keys are correctly set and have the necessary permissions."}),"\n",(0,s.jsx)(n.li,{children:"Check that your Notion integration has access to the relevant pages and databases."}),"\n",(0,s.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,s.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["For more advanced usage and integration options, refer to the ",(0,s.jsx)(n.a,{href:"https://developers.notion.com/",children:"Notion API documentation"})," and ",(0,s.jsx)(n.a,{href:"/",children:"Langflow documentation"}),"."]})]})}function p(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}},86924:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/files/Meeting_Notes_Agent-b29188c0cb70736d19dd52965db5f352.json"}}]);
\ No newline at end of file
diff --git a/assets/js/238e6167.df7f0bae.js b/assets/js/238e6167.df7f0bae.js
new file mode 100644
index 0000000000..06b79be412
--- /dev/null
+++ b/assets/js/238e6167.df7f0bae.js
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database list, and current date."}),"\n",(0,s.jsx)(n.li,{children:"The Meeting Summarizer analyzes the transcript and identifies tasks and action items."}),"\n",(0,s.jsxs)(n.li,{children:["The Notion Agent uses the meeting summary to:","\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:"Create new pages for new tasks"}),"\n",(0,s.jsx)(n.li,{children:"Update existing pages for existing tasks"}),"\n",(0,s.jsx)(n.li,{children:"Add content to pages with meeting notes"}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.li,{children:"The Chat Output displays a summary of actions taken in Notion."}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"run-the-notion-meeting-notes-flow",children:"Run the Notion Meeting Notes flow"}),"\n",(0,s.jsx)(n.p,{children:"To run the Notion Agent for Meeting Notes:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Open Langflow and create a new project."}),"\n",(0,s.jsxs)(n.li,{children:["Add the components listed above to your flow canvas, or download the ",(0,s.jsx)(n.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(86924).A+"",children:"Flow Meeting Agent Flow"}),"(Download link) and ",(0,s.jsx)(n.strong,{children:"Import"})," the JSON file into Langflow."]}),"\n",(0,s.jsx)(n.li,{children:"Connect the components as shown in the flow diagram."}),"\n",(0,s.jsx)(n.li,{children:"Input the Notion and OpenAI API keys in their respective components."}),"\n",(0,s.jsx)(n.li,{children:"Paste your meeting transcript into the Meeting Transcript component."}),"\n",(0,s.jsxs)(n.li,{children:["Run the flow by clicking ",(0,s.jsx)(r.A,{name:"Play","aria-hidden":"True"})," ",(0,s.jsx)(n.strong,{children:"Run component"})," on the ",(0,s.jsx)(n.strong,{children:"Chat Output"})," component."]}),"\n",(0,s.jsx)(n.li,{children:"Review the output in the Chat Output component, which will summarize the actions taken in your Notion workspace."}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"For optimal results, use detailed meeting transcripts. The quality of the output depends on the comprehensiveness of the input provided."}),"\n",(0,s.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,s.jsx)(n.p,{children:"The flow can be customized to meet your team's specific needs."}),"\n",(0,s.jsx)(n.p,{children:"Customize this flow by:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Adjusting the system prompt to change the agent's behavior or knowledge base."}),"\n",(0,s.jsx)(n.li,{children:"Adding or removing Notion tools based on your specific needs."}),"\n",(0,s.jsx)(n.li,{children:"Modifying the OpenAI model parameters (e.g., temperature) to adjust the agent's response style."}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,s.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Ensure all API keys are correctly set and have the necessary permissions."}),"\n",(0,s.jsx)(n.li,{children:"Check that your Notion integration has access to the relevant pages and databases."}),"\n",(0,s.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,s.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["For more advanced usage and integration options, refer to the ",(0,s.jsx)(n.a,{href:"https://developers.notion.com/",children:"Notion API documentation"})," and ",(0,s.jsx)(n.a,{href:"/",children:"Langflow documentation"}),"."]})]})}function p(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}},86924:(e,n,t)=>{t.d(n,{A:()=>i});const i=t.p+"assets/files/Meeting_Notes_Agent-b29188c0cb70736d19dd52965db5f352.json"}}]);
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--- a/assets/js/24996c2f.a9813931.js
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@@ -1 +1 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[4498],{17286:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/starter-flow-travel-agent-6b84b85a43e3ea3f5d43c7889508f2dc.png"},17886:(e,n,t)=>{t.d(n,{A:()=>a});t(96540);var s=t(64058),l=t(74848);function a({name:e,...n}){const t=s[e];return t?(0,l.jsx)(t,{...n}):null}},43238:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>h,contentTitle:()=>o,default:()=>g,frontMatter:()=>i,metadata:()=>s,toc:()=>c});const s=JSON.parse('{"id":"Templates/travel-planning-agent","title":"Travel planning agent","description":"This flow demonstrates using multiple Agent components in a single flow.","source":"@site/docs/Templates/travel-planning-agent.mdx","sourceDirName":"Templates","slug":"/travel-planning-agent","permalink":"/travel-planning-agent","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Travel planning agent","slug":"/travel-planning-agent"},"sidebar":"docs","previous":{"title":"Sequential tasks agent","permalink":"/sequential-agent"},"next":{"title":"Trigger flows with the Langflow API","permalink":"/concepts-publish"}}');var l=t(74848),a=t(28453),r=t(17886);const i={title:"Travel planning agent",slug:"/travel-planning-agent"},o=void 0,h={},c=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Open Langflow and start a new flow",id:"open-langflow-and-start-a-new-flow",level:2},{value:"Create the travel planning agent flow",id:"create-the-travel-planning-agent-flow",level:2},{value:"Run the travel planning agent flow",id:"run-the-travel-planning-agent-flow",level:2}];function d(e){const n={a:"a",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,a.R)(),...e.components};return(0,l.jsxs)(l.Fragment,{children:[(0,l.jsxs)(n.p,{children:["This flow demonstrates using multiple ",(0,l.jsx)(n.a,{href:"/agents",children:"Agent"})," components in a single flow."]}),"\n",(0,l.jsxs)(n.p,{children:["In this flow, multiple ",(0,l.jsx)(n.strong,{children:"Agents"})," plan a travel journey.\nEach agent is given a different responsibility defined by its ",(0,l.jsx)(n.strong,{children:"System Prompt"})," field.\nThe ",(0,l.jsx)(n.strong,{children:"Chat input"})," defines where the user wants to go, and passes the result to the ",(0,l.jsx)(n.strong,{children:"City Selection"})," agent. 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The ",(0,l.jsx)(n.strong,{children:"Local Expert"})," agent then adds information based on the selected cities, and the ",(0,l.jsx)(n.strong,{children:"Travel Concierge"})," assembles a seven day travel plan in Markdown."]}),"\n",(0,l.jsxs)(n.p,{children:["All agents have access to the ",(0,l.jsx)(n.strong,{children:"Search API"})," and ",(0,l.jsx)(n.strong,{children:"URL Content Fetcher"})," components, while only the ",(0,l.jsx)(n.strong,{children:"Travel Concierge"})," agent can use the ",(0,l.jsx)(n.strong,{children:"Calculator"})," for computing the trip costs."]}),"\n",(0,l.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsx)(n.li,{children:(0,l.jsx)(n.a,{href:"/get-started-installation",children:"Install and start Langflow"})}),"\n",(0,l.jsxs)(n.li,{children:["Create an ",(0,l.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"})]}),"\n",(0,l.jsxs)(n.li,{children:["Create a ",(0,l.jsx)(n.a,{href:"https://www.searchapi.io/",children:"Search API key"})]}),"\n"]}),"\n",(0,l.jsx)(n.h2,{id:"open-langflow-and-start-a-new-flow",children:"Open Langflow and start a new flow"}),"\n",(0,l.jsxs)(n.p,{children:["Click ",(0,l.jsx)(n.strong,{children:"New Flow"}),", and then select the ",(0,l.jsx)(n.strong,{children:"Travel Planning Agent"})," flow."]}),"\n",(0,l.jsx)(n.p,{children:"This opens a starter flow with the necessary components to run an agentic application using multiple Tool-calling agents."}),"\n",(0,l.jsx)(n.h2,{id:"create-the-travel-planning-agent-flow",children:"Create the travel planning agent flow"}),"\n",(0,l.jsx)(n.p,{children:(0,l.jsx)(n.img,{src:t(17286).A+"",width:"4000",height:"1466"})}),"\n",(0,l.jsxs)(n.p,{children:["The ",(0,l.jsx)(n.strong,{children:"Travel Planning Agent"})," flow consists of these components:"]}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsxs)(n.li,{children:["Multiple ",(0,l.jsx)(n.strong,{children:"Tool calling agent"})," components that use the connected LLM to reason through the user's input and select among the connected tools to complete their tasks."]}),"\n",(0,l.jsxs)(n.li,{children:["The ",(0,l.jsx)(n.strong,{children:"Calculator"})," component performs basic arithmetic operations."]}),"\n",(0,l.jsxs)(n.li,{children:["The ",(0,l.jsx)(n.strong,{children:"URL Content Fetcher"})," component scrapes content from a given URL."]}),"\n",(0,l.jsxs)(n.li,{children:["The ",(0,l.jsx)(n.strong,{children:"Chat Input"})," component accepts user input to the chat."]}),"\n",(0,l.jsxs)(n.li,{children:["The ",(0,l.jsx)(n.strong,{children:"Chat Output"})," component prints the flow's output to the chat."]}),"\n",(0,l.jsxs)(n.li,{children:["The ",(0,l.jsx)(n.strong,{children:"OpenAI"})," model component sends the user input and prompt to the OpenAI API and receives a response."]}),"\n"]}),"\n",(0,l.jsx)(n.h2,{id:"run-the-travel-planning-agent-flow",children:"Run the travel planning agent flow"}),"\n",(0,l.jsxs)(n.ol,{children:["\n",(0,l.jsx)(n.li,{children:"Add your credentials to the OpenAI and Search API components."}),"\n",(0,l.jsxs)(n.li,{children:["To run the flow, click ",(0,l.jsx)(r.A,{name:"Play","aria-hidden":"true"})," ",(0,l.jsx)(n.strong,{children:"Playground"}),".\nYou should receive a detailed, helpful answer to the journey defined in the ",(0,l.jsx)(n.strong,{children:"Chat input"})," component."]}),"\n"]}),"\n",(0,l.jsxs)(n.p,{children:["Now that your query has completed the journey from ",(0,l.jsx)(n.strong,{children:"Chat input"})," to ",(0,l.jsx)(n.strong,{children:"Chat output"}),", you have completed the ",(0,l.jsx)(n.strong,{children:"Travel Planning Agent"})," flow."]})]})}function g(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,l.jsx)(n,{...e,children:(0,l.jsx)(d,{...e})}):d(e)}}}]);
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diff --git a/assets/js/28fb019d.95d76225.js b/assets/js/28fb019d.95d76225.js
deleted file mode 100644
index 2db9467230..0000000000
--- a/assets/js/28fb019d.95d76225.js
+++ /dev/null
@@ -1 +0,0 @@
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",(0,s.jsx)(n.strong,{children:"Vector Store RAG"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsx)(n.strong,{children:"Vector Store RAG"})," flow is created."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"build-the-vector-rag-flow",children:"Build the vector RAG flow"}),"\n",(0,s.jsx)(n.p,{children:"The vector store RAG flow is built of two separate flows for ingestion and query."}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"Vector RAG starter flow with Astra DB",src:t(85410).A+"",width:"4000",height:"2674"})}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Load Data Flow"})," (bottom of the screen) creates a searchable index to be queried for contextual similarity.\nThis flow populates the vector store with data from a local file.\nIt ingests data from a local file, splits it into chunks, indexes it in Astra DB, and computes embeddings for the chunks using the ",(0,s.jsx)(n.strong,{children:"Embeddings model"})," 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In this starter project, the option for the embeddings method and model is the ",(0,s.jsx)(n.strong,{children:"OpenAI Embeddings"})," component connected to the ",(0,s.jsx)(n.strong,{children:"Astra DB"})," component."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsx)(n.strong,{children:"Dimensions"})," value must match the dimensions of your collection. This field is ",(0,s.jsx)(n.strong,{children:"not required"})," if you use embeddings generated through Astra's vectorize service. You can find this value in the ",(0,s.jsx)(n.strong,{children:"Collection"})," in your ",(0,s.jsx)(n.a,{href:"https://astra.datastax.com",children:"Astra DB deployment"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see the ",(0,s.jsx)(n.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"DataStax Astra DB Serverless documentation"}),"."]}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["If you used Langflow's ",(0,s.jsx)(n.strong,{children:"Global Variables"})," feature, the RAG application flow components are already configured with the necessary credentials."]}),"\n",(0,s.jsx)(n.h2,{id:"run-the-vector-store-rag-flow",children:"Run the Vector Store RAG flow"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["To run the flow, click ",(0,s.jsx)(i.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Playground"}),".\nIn the ",(0,s.jsx)(n.strong,{children:"Playground"}),", you can chat with the LLM that uses context from the database you created."]}),"\n",(0,s.jsxs)(n.li,{children:["Enter a message and press ",(0,s.jsx)("kbd",{children:"Enter"}),'. Try something like, "What topics do you know about?"']}),"\n",(0,s.jsx)(n.li,{children:"The bot will respond with a summary of the data you've embedded."}),"\n"]})]})}function g(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}},85410:(e,n,t)=>{t.d(n,{A:()=>r});const r=t.p+"assets/images/starter-flow-vector-rag-3d0c01a70f9fd15ad9595997d06ddd3b.png"}}]);
\ No newline at end of file
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[5983],{17886:(e,n,t)=>{t.d(n,{A:()=>o});t(96540);var r=t(64058),s=t(74848);function o({name:e,...n}){const t=r[e];return t?(0,s.jsx)(t,{...n}):null}},32599:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>d,contentTitle:()=>l,default:()=>g,frontMatter:()=>a,metadata:()=>r,toc:()=>c});const r=JSON.parse('{"id":"Templates/vector-store-rag","title":"Vector store RAG","description":"Retrieval Augmented Generation, or RAG, is a pattern for training LLMs on your data and querying it.","source":"@site/docs/Templates/vector-store-rag.mdx","sourceDirName":"Templates","slug":"/vector-store-rag","permalink":"/vector-store-rag","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Vector store RAG","slug":"/vector-store-rag"},"sidebar":"docs","previous":{"title":"Memory chatbot","permalink":"/memory-chatbot"},"next":{"title":"Financial report parser","permalink":"/financial-report-parser"}}');var s=t(74848),o=t(28453),i=t(17886);const a={title:"Vector store RAG",slug:"/vector-store-rag"},l=void 0,d={},c=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Open Langflow and start a new project",id:"open-langflow-and-start-a-new-project",level:2},{value:"Build the vector RAG flow",id:"build-the-vector-rag-flow",level:2},{value:"Run the Vector Store RAG flow",id:"run-the-vector-store-rag-flow",level:2}];function h(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,o.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"Retrieval Augmented Generation, or RAG, is a pattern for training LLMs on your data and querying it."}),"\n",(0,s.jsxs)(n.p,{children:["RAG is backed by a ",(0,s.jsx)(n.strong,{children:"vector store"}),", a vector database which stores embeddings of the ingested data."]}),"\n",(0,s.jsxs)(n.p,{children:["This enables ",(0,s.jsx)(n.strong,{children:"vector search"}),", a more powerful and context-aware search."]}),"\n",(0,s.jsxs)(n.p,{children:["We've chosen ",(0,s.jsx)(n.a,{href:"https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account",children:"Astra DB"})," as the vector database for this starter flow, but you can follow along with any of Langflow's vector database options."]}),"\n",(0,s.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:(0,s.jsx)(n.a,{href:"/get-started-installation",children:"Install and start Langflow"})}),"\n",(0,s.jsxs)(n.li,{children:["Create an ",(0,s.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"})]}),"\n",(0,s.jsxs)(n.li,{children:["Create an ",(0,s.jsx)(n.a,{href:"https://docs.datastax.com/en/astra-db-serverless/get-started/quickstart.html",children:"Astra DB vector database"})]}),"\n",(0,s.jsxs)(n.li,{children:["Create an ",(0,s.jsx)(n.a,{href:"https://docs.datastax.com/en/astra-db-serverless/administration/manage-application-tokens.html#database-token",children:"Astra application token scoped to your database"})]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["You can use an existing ",(0,s.jsx)(n.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/manage-collections.html#create-collection",children:"collection"})," or create a new collection through the ",(0,s.jsx)(n.strong,{children:"Astra DB"})," component."]}),"\n",(0,s.jsx)(n.h2,{id:"open-langflow-and-start-a-new-project",children:"Open Langflow and start a new project"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["From the Langflow dashboard, click ",(0,s.jsx)(n.strong,{children:"New Flow"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Select ",(0,s.jsx)(n.strong,{children:"Vector Store RAG"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsx)(n.strong,{children:"Vector Store RAG"})," flow is created."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"build-the-vector-rag-flow",children:"Build the vector RAG flow"}),"\n",(0,s.jsx)(n.p,{children:"The vector store RAG flow is built of two separate flows for ingestion and query."}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"Vector RAG starter flow with Astra DB",src:t(85410).A+"",width:"4000",height:"2674"})}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Load Data Flow"})," (bottom of the screen) creates a searchable index to be queried for contextual similarity.\nThis flow populates the vector store with data from a local file.\nIt ingests data from a local file, splits it into chunks, indexes it in Astra DB, and computes embeddings for the chunks using the ",(0,s.jsx)(n.strong,{children:"Embeddings model"})," component."]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Retriever Flow"})," (top of the screen) embeds the user's queries into vectors, which are compared to the vector store data from the ",(0,s.jsx)(n.strong,{children:"Load Data Flow"})," for contextual similarity."]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Chat Input"})," receives user input from the ",(0,s.jsx)(n.strong,{children:"Playground"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Embeddings model"})," converts the user query into vector form."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Astra DB"})," performs similarity search using the query vector."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Parser"})," processes the retrieved chunks."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Prompt"})," combines the user query with relevant 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and then click\xa0",(0,s.jsx)(n.strong,{children:"Add New Variable"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["In the ",(0,s.jsx)(n.strong,{children:"Variable Name"})," field, enter ",(0,s.jsx)(n.code,{children:"openai_api_key"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["In the ",(0,s.jsx)(n.strong,{children:"Value"})," field, paste your OpenAI API Key (",(0,s.jsx)(n.code,{children:"sk-..."}),")."]}),"\n",(0,s.jsxs)(n.li,{children:["Click ",(0,s.jsx)(n.strong,{children:"Save Variable"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Configure the ",(0,s.jsx)(n.strong,{children:"Astra DB"})," component."]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["In the ",(0,s.jsx)(n.strong,{children:"Astra DB Application Token"})," field, add your ",(0,s.jsx)(n.strong,{children:"Astra DB"})," application token.\nThe component connects to your database and populates the menus with existing databases and collections."]}),"\n",(0,s.jsxs)(n.li,{children:["Select your ",(0,s.jsx)(n.strong,{children:"Database"}),".\nIf you don't have a collection, select ",(0,s.jsx)(n.strong,{children:"New database"}),".\nComplete the ",(0,s.jsx)(n.strong,{children:"Name"}),", ",(0,s.jsx)(n.strong,{children:"Cloud provider"}),", and ",(0,s.jsx)(n.strong,{children:"Region"})," fields, and then click ",(0,s.jsx)(n.strong,{children:"Create"}),". ",(0,s.jsx)(n.strong,{children:"Database creation takes a few minutes"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Select your ",(0,s.jsx)(n.strong,{children:"Collection"}),". Collections are created in your ",(0,s.jsx)(n.a,{href:"https://astra.datastax.com",children:"Astra DB deployment"})," for storing vector data."]}),"\n"]}),"\n",(0,s.jsx)(n.admonition,{type:"info",children:(0,s.jsxs)(n.p,{children:["If your collection use the Astra vectorize NVIDIA integration, the ",(0,s.jsx)(n.strong,{children:"Embedding Model"})," port is removed, because the collection already generates embeddings with the integrated NVIDIA model. The component fetches the data from the collection, and uses the same model to generate embeddings for queries."]})}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"If you don't have a collection, create a new one within the component."}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Select ",(0,s.jsx)(n.strong,{children:"New collection"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Complete the ",(0,s.jsx)(n.strong,{children:"Name"}),", ",(0,s.jsx)(n.strong,{children:"Embedding generation method"}),", ",(0,s.jsx)(n.strong,{children:"Embedding model"}),", and ",(0,s.jsx)(n.strong,{children:"Dimensions"})," fields, and then click ",(0,s.jsx)(n.strong,{children:"Create"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["Your choice for the ",(0,s.jsx)(n.strong,{children:"Embedding generation method"})," and ",(0,s.jsx)(n.strong,{children:"Embedding model"})," depends on whether you want to use embeddings generated by a provider through Astra's vectorize service, or generated by a component in Langflow."]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["To use embeddings generated by a provider through Astra's vectorize service, select the model from the ",(0,s.jsx)(n.strong,{children:"Embedding generation method"})," dropdown menu, and then select the model from the ",(0,s.jsx)(n.strong,{children:"Embedding model"})," dropdown menu."]}),"\n",(0,s.jsxs)(n.li,{children:["To use embeddings generated by a component in Langflow, select ",(0,s.jsx)(n.strong,{children:"Bring your own"})," for both the ",(0,s.jsx)(n.strong,{children:"Embedding generation method"})," and ",(0,s.jsx)(n.strong,{children:"Embedding model"})," fields. In this starter project, the option for the embeddings method and model is the ",(0,s.jsx)(n.strong,{children:"OpenAI Embeddings"})," component connected to the ",(0,s.jsx)(n.strong,{children:"Astra DB"})," component."]}),"\n",(0,s.jsxs)(n.li,{children:["The ",(0,s.jsx)(n.strong,{children:"Dimensions"})," value must match the dimensions of your collection. This field is ",(0,s.jsx)(n.strong,{children:"not required"})," if you use embeddings generated through Astra's vectorize service. You can find this value in the ",(0,s.jsx)(n.strong,{children:"Collection"})," in your ",(0,s.jsx)(n.a,{href:"https://astra.datastax.com",children:"Astra DB deployment"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see the ",(0,s.jsx)(n.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"DataStax Astra DB Serverless documentation"}),"."]}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["If you used Langflow's ",(0,s.jsx)(n.strong,{children:"Global Variables"})," feature, the RAG application flow components are already configured with the necessary credentials."]}),"\n",(0,s.jsx)(n.h2,{id:"run-the-vector-store-rag-flow",children:"Run the Vector Store RAG flow"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["To run the flow, click ",(0,s.jsx)(i.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Playground"}),".\nIn the ",(0,s.jsx)(n.strong,{children:"Playground"}),", you can chat with the LLM that uses context from the database you created."]}),"\n",(0,s.jsxs)(n.li,{children:["Enter a message and press ",(0,s.jsx)("kbd",{children:"Enter"}),'. Try something like, "What topics do you know about?"']}),"\n",(0,s.jsx)(n.li,{children:"The bot will respond with a summary of the data you've embedded."}),"\n"]})]})}function g(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}},85410:(e,n,t)=>{t.d(n,{A:()=>r});const r=t.p+"assets/images/starter-flow-vector-rag-3d0c01a70f9fd15ad9595997d06ddd3b.png"}}]);
\ No newline at end of file
diff --git a/assets/js/2ab0d4f5.39288db5.js b/assets/js/2ab0d4f5.39288db5.js
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index 0000000000..0df1a87270
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It handles both streaming and non-streaming execution modes.\\n\\nArgs:\\n    background_tasks (BackgroundTasks): FastAPI background task manager\\n    flow (FlowRead | None): The flow to execute, loaded via dependency\\n    input_request (SimplifiedAPIRequest | None): Input parameters for the flow\\n    stream (bool): Whether to stream the response\\n    api_key_user (UserRead): Authenticated user from API key\\n    request (Request): The incoming HTTP request\\n\\nReturns:\\n    Union[StreamingResponse, RunResponse]: Either a streaming response for real-time results\\n    or a RunResponse with the complete execution results\\n\\nRaises:\\n    HTTPException: For flow not found (404) or invalid input (400)\\n    APIException: For internal execution errors (500)\\n\\nNotes:\\n    - Supports both streaming and non-streaming execution modes\\n    - Tracks execution time and success/failure via telemetry\\n    - Handles graceful client disconnection in streaming mode\\n    - Provides detailed error handling with appropriate HTTP status codes\\n    - In streaming mode, uses EventManager to handle events:\\n        - \\"add_message\\": New messages during execution\\n        - \\"token\\": Individual tokens during streaming\\n        - \\"end\\": Final execution result","operationId":"simplified_run_flow_api_v1_run__flow_id_or_name__post","security":[{"API key query":[]},{"API key header":[]}],"parameters":[{"name":"flow_id_or_name","in":"path","required":true,"schema":{"type":"string","title":"Flow Id Or Name"}},{"name":"stream","in":"query","required":false,"schema":{"type":"boolean","default":false,"title":"Stream"}},{"name":"user_id","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"string","format":"uuid"},{"type":"null"}],"title":"User Id"}}],"requestBody":{"content":{"application/json":{"schema":{"anyOf":[{"properties":{"input_value":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Input Value","description":"The input value"},"input_type":{"anyOf":[{"type":"string","enum":["chat","text","any"]},{"type":"null"}],"title":"Input Type","description":"The input type","default":"chat"},"output_type":{"anyOf":[{"type":"string","enum":["chat","text","any","debug"]},{"type":"null"}],"title":"Output Type","description":"The output type","default":"chat"},"output_component":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Output Component","description":"If there are multiple output components, you can specify the component to get the output from.","default":""},"tweaks":{"anyOf":[{"additionalProperties":{"anyOf":[{"type":"string"},{"type":"object"}]},"type":"object","title":"Tweaks","description":"A dictionary of tweaks to adjust the flow\'s execution. 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deleted file mode 100644
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--- a/assets/js/2ab0d4f5.c555184c.js
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If you used ",(0,s.jsx)(t.code,{children:"text"})," type inputs and outputs, each request is a standalone text string."]}),"\n",(0,s.jsx)(t.admonition,{type:"tip",children:(0,s.jsxs)(t.p,{children:["The ",(0,s.jsx)(t.a,{href:"/typescript-client",children:"Langflow TypeScript client"})," has a ",(0,s.jsx)(t.code,{children:"chatOutputText()"})," convenience method that simplifies working with Langflow's complex JSON response structure.\nInstead of manually navigating through multiple levels of nested objects with ",(0,s.jsx)(t.code,{children:"data.outputs[0].outputs[0].results.message.data.text"}),", the client automatically extracts the message text and handles potentially undefined values gracefully."]})}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Save and run the script to send the requests and test the flow."}),"\n",(0,s.jsxs)(n,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(t.p,{children:"The following is an example response from this tutorial's flow. 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If you need more specific information or details, please let me know!",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"\ud83d\udc64 You: It should be about a Briggs and Stratton engine.",props:{}}]},{tokens:[{content:"\ud83e\udd16 Assistant: The text provides important safety and installation guidelines for Briggs & Stratton engines. 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diff --git a/assets/js/2c05a87f.1197c299.js b/assets/js/2c05a87f.1197c299.js
deleted file mode 100644
index a2c2f95bc9..0000000000
--- a/assets/js/2c05a87f.1197c299.js
+++ /dev/null
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diff --git a/assets/js/2c05a87f.6f02ae90.js b/assets/js/2c05a87f.6f02ae90.js
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[1515],{17886:(o,e,t)=>{t.d(e,{A:()=>r});t(96540);var n=t(64058),s=t(74848);function r({name:o,...e}){const t=n[o];return t?(0,s.jsx)(t,{...e}):null}},89870:(o,e,t)=>{t.r(e),t.d(e,{CH:()=>d,assets:()=>i,chCodeConfig:()=>h,contentTitle:()=>a,default:()=>f,frontMatter:()=>p,metadata:()=>n,toc:()=>y});const n=JSON.parse('{"id":"Concepts/concepts-flows-import","title":"Import and export flows","description":"You can export flows to transfer them between Langflow instances, share them with others, or create backups.","source":"@site/docs/Concepts/concepts-flows-import.mdx","sourceDirName":"Concepts","slug":"/concepts-flows-import","permalink":"/concepts-flows-import","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Import and export flows","slug":"/concepts-flows-import"},"sidebar":"docs","previous":{"title":"Test 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To find the component ID, open your flow in Langflow, click the File component, and then click ",(0,s.jsx)(t.strong,{children:"Controls"}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"CHAT_INPUT"}),": The message you want to send to the Chat Input of your flow, such as ",(0,s.jsx)(t.code,{children:"Evaluate this resume for a job opening in my Marketing department."})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FILE_NAME"})," and ",(0,s.jsx)(t.code,{children:"FILE_PATH"}),": The name and path to the local file that you want to send to your flow."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. 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Get the uploaded file path from the response",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"uploaded_data ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" response.json()",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"uploaded_path ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" uploaded_data.get(",props:{style:{color:"#C9D1D9"}}},{content:"'path'",props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 5. 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",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "tweaks"',props:{style:{color:"#A5D6FF"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "FILE_COMPONENT_ID"',props:{style:{color:"#A5D6FF"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "path"',props:{style:{color:"#A5D6FF"}}},{content:": uploaded_path",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"run_headers ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    'Content-Type'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'application/json'",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    'Accept'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'application/json'",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    'x-api-key'",props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"run_response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.post(run_url, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"run_headers, 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langflow_data[",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'results'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'message'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'data'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'text'",props:{style:{color:"#A5D6FF"}}},{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"except",props:{style:{color:"#FF7B72"}}},{content:" (",props:{style:{color:"#C9D1D9"}}},{content:"KeyError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"IndexError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"TypeError",props:{style:{color:"#79C0FF"}}},{content:"):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    pass",props:{style:{color:"#FF7B72"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(message)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"This script contains two requests."}),"\n",(0,s.jsxs)(t.p,{children:["The first request uploads a file, such as ",(0,s.jsx)(t.code,{children:"fake-resume.txt"}),", to your Langflow server at the ",(0,s.jsx)(t.code,{children:"/v2/files"})," endpoint. This request returns a file path that can be referenced in subsequent Langflow requests, such as ",(0,s.jsx)(t.code,{children:"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt"})]}),"\n",(0,s.jsxs)(t.p,{children:["The second request sends a chat message to the Langflow flow at the ",(0,s.jsx)(t.code,{children:"/v1/run/"})," endpoint.\nThe ",(0,s.jsx)(t.code,{children:"tweaks"})," parameter includes the path to the uploaded file as the variable ",(0,s.jsx)(t.code,{children:"uploaded_path"}),", and sends this file directly to the File component."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Save and run the script to send the requests and test the flow."}),"\n",(0,s.jsx)(t.p,{children:"The initial output contains the JSON response object from the file upload endpoint, including the internal path where Langflow stores the file.\nThen, the LLM retrieves the file and evaluates its content, in this case the suitability of the resume for a job position."}),"\n",(0,s.jsxs)(n,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(t.p,{children:"The following is an example response from this tutorial's flow. Due to the nature of LLMs and variations in your inputs, your response might be different."}),(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'{"id":"793ba3d8-5e7a-4499-8b89-d9a7b6325fee","name":"fake-resume (1)","path":"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt","size":1779,"provider":null}',props:{}}]},{tokens:[{content:"The resume for Emily J. Wilson presents a strong candidate for a position in your Marketing department. Here are some key points to consider:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Strengths:",props:{}}]},{tokens:[{content:"1. **Experience**: With over 8 years in marketing, Emily has held progressively responsible positions, culminating in her current role as Marketing Director. This indicates a solid foundation in the field.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **Quantifiable Achievements**: The resume highlights specific accomplishments, such as a 25% increase in brand recognition and a 30% sales increase after launching new product lines. These metrics demonstrate her ability to drive results.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Diverse Skill Set**: Emily's skills encompass various aspects of marketing, including strategy development, team management, social media marketing, event planning, and data analysis. This versatility can be beneficial in a dynamic marketing environment.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"4. **Educational Background**: Her MBA and a Bachelor's degree in Marketing provide a strong academic foundation, which is often valued in marketing roles.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"5. **Certifications**: The Certified Marketing Professional (CMP) and Google Analytics Certification indicate a commitment to professional development and staying current with industry standards.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Areas for Improvement:",props:{}}]},{tokens:[{content:"1. **Specificity in Skills**: While the skills listed are relevant, providing examples of how she has applied these skills in her previous roles could strengthen her resume further.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **References**: While stating that references are available upon request is standard, including a couple of testimonials or notable endorsements could enhance credibility.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Formatting**: Ensure that the resume is visually appealing and easy to read. Clear headings and bullet points help in quickly identifying key information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Conclusion:",props:{}}]},{tokens:[{content:"Overall, Emily J. Wilson's resume reflects a well-rounded marketing professional with a proven track record of success. If her experience aligns with the specific needs of your Marketing department, she could be a valuable addition to your team. Consider inviting her for an interview to further assess her fit for the role.",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"next-steps",children:"Next steps"}),"\n",(0,s.jsx)(t.p,{children:"To continue building on this tutorial, try these next steps."}),"\n",(0,s.jsx)(t.h3,{id:"process-multiple-files-loaded-at-runtime",children:"Process multiple files loaded at runtime"}),"\n",(0,s.jsxs)(t.p,{children:["To process multiple files in a single flow run, add a separate ",(0,s.jsx)(t.strong,{children:"File"})," component for each file you want to ingest. Then, modify your script to upload each file, retrieve each returned file path, and then pass a unique file path to each ",(0,s.jsx)(t.strong,{children:"File"})," component ID."]}),"\n",(0,s.jsxs)(t.p,{children:["For example, you can modify ",(0,s.jsx)(t.code,{children:"tweaks"})," to accept multiple file components.\nThe following code is just an example; it is not working code:"]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"## set multiple file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"file_paths ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    FILE_COMPONENT_1",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_1,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    FILE_COMPONENT_2",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_2",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"def ",props:{style:{color:"#FF7B72"}}},{content:"chat_with_flow",props:{style:{color:"#D2A8FF"}}},{content:"(input_message, file_paths):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    """Compare the contents of these two files."""',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    run_url ",props:{style:{color:"#C9D1D9"}}},{content:"= f",props:{style:{color:"#FF7B72"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:"{LANGFLOW_SERVER_ADDRESS}",props:{style:{color:"#79C0FF"}}},{content:"/api/v1/run/",props:{style:{color:"#A5D6FF"}}},{content:"{FLOW_ID}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    # Prepare tweaks with both file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"    tweaks ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    for",props:{style:{color:"#FF7B72"}}},{content:" component_id, file_path ",props:{style:{color:"#C9D1D9"}}},{content:"in",props:{style:{color:"#FF7B72"}}},{content:" file_paths.items():",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        tweaks[component_id] ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}},{content:'"path"',props:{style:{color:"#A5D6FF"}}},{content:": file_path}",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsxs)(t.p,{children:["You can also use a ",(0,s.jsxs)(t.a,{href:"/components-data#directory",children:[(0,s.jsx)(t.strong,{children:"Directory"})," component"]})," to load all files in a directory or pass an archive file to the ",(0,s.jsx)(t.strong,{children:"File"})," component."]}),"\n",(0,s.jsx)(t.h3,{id:"upload-external-files-at-runtime",children:"Upload external files at runtime"}),"\n",(0,s.jsxs)(t.p,{children:["To upload files from another machine that is not your local environment, your Langflow server must first be accessible over the internet. Then, authenticated users can upload files to your public Langflow server's ",(0,s.jsx)(t.code,{children:"/v2/files/"})," endpoint, as shown in the tutorial. For more information, see ",(0,s.jsx)(t.a,{href:"/deployment-overview",children:"Langflow deployment overview"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"preload-files-outside-the-chat-session",children:"Preload files outside the chat session"}),"\n",(0,s.jsxs)(t.p,{children:["You can use the ",(0,s.jsx)(t.strong,{children:"File"})," component to load files anywhere in a flow, not just in a chat session."]}),"\n",(0,s.jsxs)(t.p,{children:["In the visual editor, you can preload files to the file component by selecting them from your local machine or ",(0,s.jsx)(t.a,{href:"/concepts-file-management",children:"Langflow file management"}),"."]}),"\n",(0,s.jsx)(t.p,{children:"For example, you can preload an instructions file for a prompt template, or you can preload a vector store with documents that you want to query in a Retrieval Augmented Generation (RAG) flow."}),"\n",(0,s.jsxs)(t.p,{children:["For more information about the ",(0,s.jsx)(t.strong,{children:"File"})," component and other data loading components, see ",(0,s.jsx)(t.a,{href:"/components-data",children:"Data components"}),"."]})]})}function y(e={}){const{wrapper:t}={...(0,r.R)(),...e.components};return t?(0,s.jsx)(t,{...e,children:(0,s.jsx)(f,{...e})}):f(e)}function m(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},87481:(e,t,o)=>{o.d(t,{A:()=>n});const n=o.p+"assets/files/fake-resume-fa337cbdb18306bd29e3168f73409745.txt"}}]);
\ No newline at end of file
diff --git a/assets/js/2fc7e024.c5e5c885.js b/assets/js/2fc7e024.c5e5c885.js
deleted file mode 100644
index c04245fdd6..0000000000
--- a/assets/js/2fc7e024.c5e5c885.js
+++ /dev/null
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s=o(74848),r=o(28453),l=o(24754),c=o(17886);o(11470),o(19365);const a={title:"Create a chatbot that can ingest files",slug:"/chat-with-files"},i=void 0,p={},d={annotations:l.hk,Code:l.Cy},h={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},u=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Create a flow that accepts file input",id:"create-a-flow-that-accepts-file-input",level:2},{value:"Send requests to your flow from a Python application",id:"send-requests-to-your-flow-from-a-python-application",level:2},{value:"Next steps",id:"next-steps",level:2},{value:"Process multiple files loaded at runtime",id:"process-multiple-files-loaded-at-runtime",level:3},{value:"Upload external files at runtime",id:"upload-external-files-at-runtime",level:3},{value:"Preload files outside the chat session",id:"preload-files-outside-the-chat-session",level:3}];function f(e){const 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The next section of this tutorial covers runtime file uploads."}),"\n",(0,s.jsx)(t.p,{children:"At this point your flow has five components. The Chat Input and File components are connected to the Prompt component's input ports. Then, the Prompt component's output port is connected to the Language Model component's input port. Finally, the Language Model component's output port is connected to the Chat Output component, which returns the final response to the user."}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"File loader chat flow",src:o(47617).A+"",width:"4000",height:"1564"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"send-requests-to-your-flow-from-a-python-application",children:"Send requests to your flow from a Python application"}),"\n",(0,s.jsx)(t.p,{children:"This section of the tutorial demonstrates how you can send file input to a flow from an application."}),"\n",(0,s.jsxs)(t.p,{children:["To do this, your application must send a ",(0,s.jsx)(t.code,{children:"POST /run"})," request to your Langflow server with the file you want to upload and a text prompt.\nThe result includes the outcome of the flow run and the LLM's response."]}),"\n",(0,s.jsxs)(t.p,{children:["This example uses a local Langflow instance, and it asks the LLM to evaluate a sample resume.\nIf you don't have a resume on hand, you can download ",(0,s.jsx)(t.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:o(87481).A+"",children:"fake-resume.txt"}),"."]}),"\n",(0,s.jsx)(t.admonition,{type:"tip",children:(0,s.jsxs)(t.p,{children:["For help with constructing file upload requests in Python, JavaScript, and curl, see the ",(0,s.jsx)(t.a,{href:"https://langflow-file-upload-examples.onrender.com",children:"Langflow File Upload Utility"}),"."]})}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"To construct the request, gather the following information:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(t.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FILE_COMPONENT_ID"}),": The UUID of the File component in your flow, such as ",(0,s.jsx)(t.code,{children:"File-KZP68"}),". To find the component ID, open your flow in Langflow, click the File component, and then click ",(0,s.jsx)(t.strong,{children:"Controls"}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"CHAT_INPUT"}),": The message you want to send to the Chat Input of your flow, such as ",(0,s.jsx)(t.code,{children:"Evaluate this resume for a job opening in my Marketing department."})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FILE_NAME"})," and ",(0,s.jsx)(t.code,{children:"FILE_PATH"}),": The name and path to the local file that you want to send to your flow."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(t.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Copy the following script into a Python file, and then replace the placeholders with the information you gathered in the previous step:"}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Python example using requests",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" json",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# 1. 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langflow_data[",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'outputs'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"0",props:{style:{color:"#79C0FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'results'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'message'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'data'",props:{style:{color:"#A5D6FF"}}},{content:"][",props:{style:{color:"#C9D1D9"}}},{content:"'text'",props:{style:{color:"#A5D6FF"}}},{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"except",props:{style:{color:"#FF7B72"}}},{content:" (",props:{style:{color:"#C9D1D9"}}},{content:"KeyError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"IndexError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"TypeError",props:{style:{color:"#79C0FF"}}},{content:"):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    pass",props:{style:{color:"#FF7B72"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(message)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"This script contains two requests."}),"\n",(0,s.jsxs)(t.p,{children:["The first request uploads a file, such as ",(0,s.jsx)(t.code,{children:"fake-resume.txt"}),", to your Langflow server at the ",(0,s.jsx)(t.code,{children:"/v2/files"})," endpoint. This request returns a file path that can be referenced in subsequent Langflow requests, such as ",(0,s.jsx)(t.code,{children:"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt"})]}),"\n",(0,s.jsxs)(t.p,{children:["The second request sends a chat message to the Langflow flow at the ",(0,s.jsx)(t.code,{children:"/v1/run/"})," endpoint.\nThe ",(0,s.jsx)(t.code,{children:"tweaks"})," parameter includes the path to the uploaded file as the variable ",(0,s.jsx)(t.code,{children:"uploaded_path"}),", and sends this file directly to the File component."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Save and run the script to send the requests and test the flow."}),"\n",(0,s.jsx)(t.p,{children:"The initial output contains the JSON response object from the file upload endpoint, including the internal path where Langflow stores the file.\nThen, the LLM retrieves the file and evaluates its content, in this case the suitability of the resume for a job position."}),"\n",(0,s.jsxs)(n,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(t.p,{children:"The following is an example response from this tutorial's flow. Due to the nature of LLMs and variations in your inputs, your response might be different."}),(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'{"id":"793ba3d8-5e7a-4499-8b89-d9a7b6325fee","name":"fake-resume (1)","path":"02791d46-812f-4988-ab1c-7c430214f8d5/fake-resume.txt","size":1779,"provider":null}',props:{}}]},{tokens:[{content:"The resume for Emily J. Wilson presents a strong candidate for a position in your Marketing department. Here are some key points to consider:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Strengths:",props:{}}]},{tokens:[{content:"1. **Experience**: With over 8 years in marketing, Emily has held progressively responsible positions, culminating in her current role as Marketing Director. This indicates a solid foundation in the field.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **Quantifiable Achievements**: The resume highlights specific accomplishments, such as a 25% increase in brand recognition and a 30% sales increase after launching new product lines. These metrics demonstrate her ability to drive results.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Diverse Skill Set**: Emily's skills encompass various aspects of marketing, including strategy development, team management, social media marketing, event planning, and data analysis. This versatility can be beneficial in a dynamic marketing environment.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"4. **Educational Background**: Her MBA and a Bachelor's degree in Marketing provide a strong academic foundation, which is often valued in marketing roles.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"5. **Certifications**: The Certified Marketing Professional (CMP) and Google Analytics Certification indicate a commitment to professional development and staying current with industry standards.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Areas for Improvement:",props:{}}]},{tokens:[{content:"1. **Specificity in Skills**: While the skills listed are relevant, providing examples of how she has applied these skills in her previous roles could strengthen her resume further.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"2. **References**: While stating that references are available upon request is standard, including a couple of testimonials or notable endorsements could enhance credibility.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"3. **Formatting**: Ensure that the resume is visually appealing and easy to read. Clear headings and bullet points help in quickly identifying key information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"### Conclusion:",props:{}}]},{tokens:[{content:"Overall, Emily J. Wilson's resume reflects a well-rounded marketing professional with a proven track record of success. If her experience aligns with the specific needs of your Marketing department, she could be a valuable addition to your team. Consider inviting her for an interview to further assess her fit for the role.",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"next-steps",children:"Next steps"}),"\n",(0,s.jsx)(t.p,{children:"To continue building on this tutorial, try these next steps."}),"\n",(0,s.jsx)(t.h3,{id:"process-multiple-files-loaded-at-runtime",children:"Process multiple files loaded at runtime"}),"\n",(0,s.jsxs)(t.p,{children:["To process multiple files in a single flow run, add a separate ",(0,s.jsx)(t.strong,{children:"File"})," component for each file you want to ingest. Then, modify your script to upload each file, retrieve each returned file path, and then pass a unique file path to each ",(0,s.jsx)(t.strong,{children:"File"})," component ID."]}),"\n",(0,s.jsxs)(t.p,{children:["For example, you can modify ",(0,s.jsx)(t.code,{children:"tweaks"})," to accept multiple file components.\nThe following code is just an example; it is not working code:"]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"## set multiple file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"file_paths ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    FILE_COMPONENT_1",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_1,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    FILE_COMPONENT_2",props:{style:{color:"#79C0FF"}}},{content:": uploaded_path_2",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"def ",props:{style:{color:"#FF7B72"}}},{content:"chat_with_flow",props:{style:{color:"#D2A8FF"}}},{content:"(input_message, file_paths):",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    """Compare the contents of these two files."""',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    run_url ",props:{style:{color:"#C9D1D9"}}},{content:"= f",props:{style:{color:"#FF7B72"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:"{LANGFLOW_SERVER_ADDRESS}",props:{style:{color:"#79C0FF"}}},{content:"/api/v1/run/",props:{style:{color:"#A5D6FF"}}},{content:"{FLOW_ID}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    # Prepare tweaks with both file paths",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"    tweaks ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    for",props:{style:{color:"#FF7B72"}}},{content:" component_id, file_path ",props:{style:{color:"#C9D1D9"}}},{content:"in",props:{style:{color:"#FF7B72"}}},{content:" file_paths.items():",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        tweaks[component_id] ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}},{content:'"path"',props:{style:{color:"#A5D6FF"}}},{content:": file_path}",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsxs)(t.p,{children:["You can also use a ",(0,s.jsxs)(t.a,{href:"/components-data#directory",children:[(0,s.jsx)(t.strong,{children:"Directory"})," component"]})," to load all files in a directory or pass an archive file to the ",(0,s.jsx)(t.strong,{children:"File"})," component."]}),"\n",(0,s.jsx)(t.h3,{id:"upload-external-files-at-runtime",children:"Upload external files at runtime"}),"\n",(0,s.jsxs)(t.p,{children:["To upload files from another machine that is not your local environment, your Langflow server must first be accessible over the internet. Then, authenticated users can upload files to your public Langflow server's ",(0,s.jsx)(t.code,{children:"/v2/files/"})," endpoint, as shown in the tutorial. For more information, see ",(0,s.jsx)(t.a,{href:"/deployment-overview",children:"Langflow deployment overview"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"preload-files-outside-the-chat-session",children:"Preload files outside the chat session"}),"\n",(0,s.jsxs)(t.p,{children:["You can use the ",(0,s.jsx)(t.strong,{children:"File"})," component to load files anywhere in a flow, not just in a chat session."]}),"\n",(0,s.jsxs)(t.p,{children:["In the visual editor, you can preload files to the file component by selecting them from your local machine or ",(0,s.jsx)(t.a,{href:"/concepts-file-management",children:"Langflow file management"}),"."]}),"\n",(0,s.jsx)(t.p,{children:"For example, you can preload an instructions file for a prompt template, or you can preload a vector store with documents that you want to query in a Retrieval Augmented Generation (RAG) flow."}),"\n",(0,s.jsxs)(t.p,{children:["For more information about the ",(0,s.jsx)(t.strong,{children:"File"})," component and other data loading components, see ",(0,s.jsx)(t.a,{href:"/components-data",children:"Data components"}),"."]})]})}function y(e={}){const{wrapper:t}={...(0,r.R)(),...e.components};return t?(0,s.jsx)(t,{...e,children:(0,s.jsx)(f,{...e})}):f(e)}function m(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},87481:(e,t,o)=>{o.d(t,{A:()=>n});const n=o.p+"assets/files/fake-resume-fa337cbdb18306bd29e3168f73409745.txt"}}]);
\ No newline at end of file
diff --git a/assets/js/2fed9fb3.4d9b3849.js b/assets/js/2fed9fb3.4d9b3849.js
deleted file mode 100644
index 5267adfd61..0000000000
--- a/assets/js/2fed9fb3.4d9b3849.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[6108],{9080:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>i,contentTitle:()=>l,default:()=>u,frontMatter:()=>a,metadata:()=>r,toc:()=>c});const r=JSON.parse('{"id":"Deployment/deployment-prod-best-practices","title":"Langflow architecture and best practices on Kubernetes","description":"Langflow can be deployed in two distinct environments.","source":"@site/docs/Deployment/deployment-prod-best-practices.mdx","sourceDirName":"Deployment","slug":"/deployment-prod-best-practices","permalink":"/deployment-prod-best-practices","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Langflow architecture and best practices on Kubernetes","slug":"/deployment-prod-best-practices"},"sidebar":"docs","previous":{"title":"Deploy Langflow on a remote server","permalink":"/deployment-caddyfile"},"next":{"title":"Deploy in development","permalink":"/deployment-kubernetes-dev"}}');var o=t(74848),s=t(28453);t(11470),t(19365);const a={title:"Langflow architecture and best practices on Kubernetes",slug:"/deployment-prod-best-practices"},l=void 0,i={},c=[{value:"Langflow deployment",id:"langflow-deployment",level:2},{value:"Environment isolation",id:"environment-isolation",level:2},{value:"Why is it important to have separate deployments?",id:"why-is-it-important-to-have-separate-deployments",level:2}];function d(e){const n={a:"a",admonition:"admonition",h2:"h2",img:"img",li:"li",p:"p",strong:"strong",ul:"ul",...(0,s.R)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)(n.p,{children:"Langflow can be deployed in two distinct environments."}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.a,{href:"/deployment-kubernetes-dev",children:(0,o.jsx)(n.strong,{children:"Langflow IDE"})}),": The ",(0,o.jsx)(n.strong,{children:"Langflow IDE"})," includes the frontend for visual development of your flow. The default ",(0,o.jsx)(n.a,{href:"https://github.com/langflow-ai/langflow/blob/main/docker_example/docker-compose.yml",children:"docker-compose.yml"})," file hosted in the Langflow repository builds the Langflow IDE image. The Langflow IDE can be deployed on ",(0,o.jsx)(n.a,{href:"/deployment-docker",children:"Docker"})," or ",(0,o.jsx)(n.a,{href:"/deployment-kubernetes-dev",children:"Kubernetes"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.a,{href:"/deployment-kubernetes-prod",children:(0,o.jsx)(n.strong,{children:"Langflow runtime"})}),": The ",(0,o.jsx)(n.strong,{children:"Langflow runtime"})," is a headless or backend-only mode. The server exposes your flow as an endpoint, and runs only the processes necessary to serve your flow, with PostgreSQL as the database for improved scalability. Use the Langflow ",(0,o.jsx)(n.strong,{children:"runtime"})," to deploy your flows if you don't require the frontend for visual development. The Langflow runtime can be deployed on ",(0,o.jsx)(n.a,{href:"/deployment-docker",children:"Docker"})," or ",(0,o.jsx)(n.a,{href:"/deployment-kubernetes-prod",children:"Kubernetes"}),"."]}),"\n"]}),"\n",(0,o.jsx)(n.admonition,{type:"tip",children:(0,o.jsxs)(n.p,{children:["You can start Langflow in headless mode with the ",(0,o.jsx)(n.a,{href:"/environment-variables#LANGFLOW_BACKEND_ONLY",children:"LANGFLOW_BACKEND_ONLY"})," environment variable."]})}),"\n",(0,o.jsx)(n.p,{children:"Deploying on Kubernetes offers the following advantages:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Scalability"}),": Kubernetes allows you to scale the Langflow service to meet the demands of your workload."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Availability and resilience"}),": Kubernetes provides built-in resilience features, such as automatic failover and self-healing, to ensure that the Langflow service is always available."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Security"}),": Kubernetes provides security features, such as role-based access control and network isolation, to protect the Langflow service and its data."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Portability"}),": Kubernetes is a portable platform, which means that you can deploy the Langflow service to any Kubernetes cluster, on-premises or in the cloud."]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["Langflow can be deployed on cloud deployments like ",(0,o.jsx)(n.strong,{children:"AWS EKS, Google GKE, or Azure AKS"}),". For more information about deploying Langflow on AWS EKS, Google GKE, or Azure AKS, see the ",(0,o.jsx)(n.a,{href:"https://github.com/langflow-ai/langflow-helm-charts",children:"Langflow Helm charts repository"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"langflow-deployment",children:"Langflow deployment"}),"\n",(0,o.jsx)(n.p,{children:"A typical Langflow deployment includes:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Langflow API and UI"}),": The Langflow service is the core component of the Langflow platform. 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diff --git a/assets/js/391afd3f.d532f0ce.js b/assets/js/391afd3f.d532f0ce.js
deleted file mode 100644
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diff --git a/assets/js/3d81f1cf.5959ec7e.js b/assets/js/3d81f1cf.5959ec7e.js
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diff --git a/assets/js/3d81f1cf.7063dff5.js b/assets/js/3d81f1cf.7063dff5.js
deleted file mode 100644
index 6eb54a4caf..0000000000
--- a/assets/js/3d81f1cf.7063dff5.js
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diff --git a/assets/js/444a6da6.910bf7b2.js b/assets/js/444a6da6.54c68c9d.js
similarity index 90%
rename from assets/js/444a6da6.910bf7b2.js
rename to assets/js/444a6da6.54c68c9d.js
index 80506b6ee5..e263fa1c8a 100644
--- a/assets/js/444a6da6.910bf7b2.js
+++ b/assets/js/444a6da6.54c68c9d.js
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  "input_value": "Tell me about something interesting!",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "session_id": "chat-123",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "input_type": "chat",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "output_type": "chat",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "output_component": "",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "tweaks": null',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t.p,{children:["The response from ",(0,s.jsx)(t.code,{children:"/v1/run/$FLOW_ID"})," includes metadata, inputs, and outputs for the run."]}),"\n",(0,s.jsxs)(o,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(t.p,{children:"The following example illustrates a response from a Basic Prompting 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[{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "results"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "message"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'          "text"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Sure! Have you ever heard of the phenomenon known as ',props:{style:{color:"#A5D6FF"}}},{content:'\\"',props:{style:{color:"#79C0FF"}}},{content:"bioluminescence",props:{style:{color:"#A5D6FF"}}},{content:'\\"',props:{style:{color:"#79C0FF"}}},{content:"? It's a fascinating natural occurrence where living organisms produce and emit light. This ability is found in various species, including certain types of jellyfish, fireflies, and deep-sea creatures like anglerfish.",props:{style:{color:"#A5D6FF"}}},{content:"\\n\\n",props:{style:{color:"#79C0FF"}}},{content:"Bioluminescence occurs through a chemical reaction in which a light-emitting molecule called luciferin reacts with oxygen, catalyzed by an enzyme called luciferase. 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It's a remarkable example of nature's creativity and complexity!\"",props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'          "sender"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Machine"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'          "sender_name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"AI"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'          "session_id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat-123"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'          "timestamp"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"2025-03-03T17:17:37+00:00"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'          "flow_id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"d2bbd92b-187e-4c84-b2d4-5df365704201"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'          "properties"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "source"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'              "id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"OpenAIModel-d1wOZ"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'              "display_name"',props:{style:{color:"#7EE787"}}},{content:": 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}]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsxs)(t.p,{children:["If you are parsing the response in an application, you most likely need to extract the relevant content from the response, rather than pass the entire response back to the user.\nFor an example of a script that extracts data from a Langflow API response, see the ",(0,s.jsx)(t.a,{href:"/get-started-quickstart",children:"Quickstart"}),"."]}),"\n",(0,s.jsx)(t.h3,{id:"stream-llm-token-responses",children:"Stream LLM token responses"}),"\n",(0,s.jsxs)(t.p,{children:["With ",(0,s.jsx)(t.code,{children:"/v1/run/$FLOW_ID"}),", the flow is executed as a batch with optional LLM token response streaming."]}),"\n",(0,s.jsxs)(t.p,{children:["To stream LLM token responses, append the ",(0,s.jsx)(t.code,{children:"?stream=true"})," query parameter to the request:"]}),"\n",(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_SERVER_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/run/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'?stream=true" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -d ",props:{style:{color:"#79C0FF"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "message": "Tell me something interesting!",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "session_id": "chat-123"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t.p,{children:["LLM chat responses are streamed back as ",(0,s.jsx)(t.code,{children:"token"})," events, culminating in a final ",(0,s.jsx)(t.code,{children:"end"})," event that closes the connection."]}),"\n",(0,s.jsxs)(o,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsxs)(t.p,{children:["The following example is truncated to illustrate a series of ",(0,s.jsx)(t.code,{children:"token"})," events as well as the final ",(0,s.jsx)(t.code,{children:"end"})," event that closes the LLM's token streaming response:"]}),(0,s.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'{"event": "add_message", "data": {"timestamp": "2025-03-03T17:20:18", "sender": "User", "sender_name": "User", "session_id": "chat-123", "text": "Tell me about something interesting!", "files": [], "error": false, "edit": false, "properties": {"text_color": "", "background_color": "", "edited": false, "source": {"id": null, "display_name": null, "source": null}, "icon": "", "allow_markdown": false, "positive_feedback": null, "state": "complete", "targets": []}, "category": "message", "content_blocks": [], "id": 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UTC"}}',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'{"event": "token", "data": {"chunk": " phenomenon", "id": "27b66789-e673-4c65-9e81-021752925161", "timestamp": "2025-03-03 17:20:18 UTC"}}',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'{"event": "end", "data": {"result": {"session_id": "chat-123", "message": "Sure! Have you ever heard of the phenomenon known as \\"bioluminescence\\"?..."}}}',props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n",(0,s.jsx)(t.h3,{id:"run-endpoint-headers",children:"Run endpoint headers"}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Header"}),(0,s.jsx)(t.th,{children:"Info"}),(0,s.jsx)(t.th,{children:"Example"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"Content-Type"}),(0,s.jsx)(t.td,{children:"Required. Specifies the JSON format."}),(0,s.jsx)(t.td,{children:'"application/json"'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"accept"}),(0,s.jsx)(t.td,{children:"Optional. Specifies the response format."}),(0,s.jsx)(t.td,{children:'"application/json"'})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:"x-api-key"}),(0,s.jsx)(t.td,{children:"Optional. 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new file mode 100644
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",(0,i.jsx)(n.strong,{children:"Docling"})," component ingest documents, and then uses Docling to process them by running the Docling models locally."]}),"\n",(0,i.jsxs)(n.p,{children:["It outputs ",(0,i.jsx)(n.code,{children:"files"}),", which is the processed files with ",(0,i.jsx)(n.code,{children:"DoclingDocument"})," data."]}),"\n",(0,i.jsx)(n.h4,{id:"docling-parameters",children:"Docling parameters"}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Name"}),(0,i.jsx)(n.th,{children:"Type"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"files"}),(0,i.jsx)(n.td,{children:"File"}),(0,i.jsx)(n.td,{children:"The files to process."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:"pipeline"}),(0,i.jsx)(n.td,{children:"String"}),(0,i.jsx)(n.td,{children:"Docling pipeline to use (standard, 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diff --git a/assets/js/464a5f06.5b48ed22.js b/assets/js/464a5f06.5b48ed22.js
deleted file mode 100644
index 8a6aed8b34..0000000000
--- a/assets/js/464a5f06.5b48ed22.js
+++ /dev/null
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}'}}),"\n","\n",(0,s.jsx)(n.p,{children:"This page provides information about Langflow logs, including logs for individual flows and the Langflow application itself."}),"\n",(0,s.jsxs)(n.p,{children:["Langflow uses the ",(0,s.jsx)(n.code,{children:"loguru"})," library for logging."]}),"\n",(0,s.jsxs)(n.p,{children:["The default logfile is named ",(0,s.jsx)(n.code,{children:"langflow.log"}),".\nLangflow also produces logfiles for flows."]}),"\n",(0,s.jsx)(n.h2,{id:"log-storage",children:"Log storage"}),"\n",(0,s.jsx)(n.p,{children:"The default logfile storage location depends on your operating system:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"macOS Desktop"}),":",(0,s.jsx)(n.code,{children:"/Users/<username>/.langflow/cache"})]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Windows Desktop"}),":",(0,s.jsx)(n.code,{children:"C:\\Users\\<username>\\AppData\\Roaming\\com.Langflow\\cache"})]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsxs)(n.strong,{children:["OSS macOS/Windows/Linux/WSL (",(0,s.jsx)(n.code,{children:"uv pip install"}),")"]}),": ",(0,s.jsx)(n.code,{children:"<path_to_venv>/lib/python3.12/site-packages/langflow/cache"})]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsxs)(n.strong,{children:["OSS macOS/Windows/Linux/WSL (",(0,s.jsx)(n.code,{children:"git clone"}),")"]}),": ",(0,s.jsx)(n.code,{children:"<path_to_clone>/src/backend/base/langflow/cache"})]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["To customize log storage, see ",(0,s.jsx)(n.a,{href:"#configure-log-options",children:"Configure log options"}),"."]}),"\n",(0,s.jsx)(n.h2,{id:"configure-log-options",children:"Configure log options"}),"\n",(0,s.jsxs)(n.p,{children:["Use ",(0,s.jsx)(n.a,{href:"/environment-variables",children:"Langflow environment variables"})," to configure logging options in your Langflow ",(0,s.jsx)(n.code,{children:".env"})," file, and then start Langflow with ",(0,s.jsx)(n.code,{children:"uv run langflow run --env-file .env"}),"."]}),"\n",(0,s.jsx)(n.p,{children:"The following environment variables are available to configure logging:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.code,{children:"LANGFLOW_LOG_LEVEL"}),": Sets the log level as one of ",(0,s.jsx)(n.code,{children:"DEBUG"}),", ",(0,s.jsx)(n.code,{children:"ERROR"})," (default), ",(0,s.jsx)(n.code,{children:"INFO"}),", ",(0,s.jsx)(n.code,{children:"WARNING"}),", and ",(0,s.jsx)(n.code,{children:"CRITICAL"}),". 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new file mode 100644
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diff --git a/assets/js/69079906.14e22d81.js b/assets/js/69079906.57e7703f.js
similarity index 83%
rename from assets/js/69079906.14e22d81.js
rename to assets/js/69079906.57e7703f.js
index 1cb374dab2..abc3480698 100644
--- a/assets/js/69079906.14e22d81.js
+++ b/assets/js/69079906.57e7703f.js
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}'}}),"\n","\n",(0,i.jsx)(n.p,{children:"This flow is a starting point for understanding Langflow.\nThe flow demonstrates how to chat with an LLM, and how modifying the prompt can affect your outcomes."}),"\n",(0,i.jsx)(n.p,{children:"Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks."}),"\n",(0,i.jsx)(n.p,{children:"By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems."}),"\n",(0,i.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:(0,i.jsx)(n.a,{href:"/get-started-installation",children:"Install and start Langflow"})}),"\n",(0,i.jsxs)(n.li,{children:["Create an ",(0,i.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"})]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"create-the-basic-prompting-flow",children:"Create the basic prompting flow"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["From the Langflow dashboard, click ",(0,i.jsx)(n.strong,{children:"New Flow"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["Select ",(0,i.jsx)(n.strong,{children:"Basic Prompting"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["The ",(0,i.jsx)(n.strong,{children:"Basic Prompting"})," flow is created."]}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.img,{alt:"Basic prompting flow",src:t(90567).A+"",width:"4000",height:"2048"})}),"\n",(0,i.jsxs)(n.p,{children:["This flow allows you to chat with the ",(0,i.jsx)(n.strong,{children:"OpenAI model"})," component.\nThe model will respond according to the prompt constructed in the ",(0,i.jsx)(n.strong,{children:"Prompt"})," component."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["To examine the ",(0,i.jsx)(n.strong,{children:"Template"}),", in the ",(0,i.jsx)(n.strong,{children:"Prompt"})," component, click the ",(0,i.jsx)(n.strong,{children:"Template"})," field."]}),"\n",(0,i.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Answer the user as if you were a GenAI expert, enthusiastic about helping them get started building something fresh.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:["To create an environment variable for the ",(0,i.jsx)(n.strong,{children:"OpenAI"})," component, in the ",(0,i.jsx)(n.strong,{children:"OpenAI API Key"})," field, click the ",(0,i.jsx)(c.A,{name:"Globe","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Globe"})," button, and then click ",(0,i.jsx)(n.strong,{children:"Add New Variable"}),"."]}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["In the ",(0,i.jsx)(n.strong,{children:"Variable Name"})," field, enter ",(0,i.jsx)(n.code,{children:"openai_api_key"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:["In the ",(0,i.jsx)(n.strong,{children:"Value"})," field, paste your OpenAI API Key (",(0,i.jsx)(n.code,{children:"sk-..."}),")."]}),"\n",(0,i.jsxs)(n.li,{children:["Click ",(0,i.jsx)(n.strong,{children:"Save Variable"}),"."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"run-the-basic-prompting-flow",children:"Run the basic prompting flow"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsxs)(n.li,{children:["Click the ",(0,i.jsx)(n.strong,{children:"Playground"})," button."]}),"\n",(0,i.jsx)(n.li,{children:"Type a message and press Enter. 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\ No newline at end of file
diff --git a/assets/js/6ffef3f1.59f19c41.js b/assets/js/6ffef3f1.59f19c41.js
deleted file mode 100644
index 04d9869cbb..0000000000
--- a/assets/js/6ffef3f1.59f19c41.js
+++ /dev/null
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tasks agent","permalink":"/sequential-agent"}}');var o=t(74848),i=t(28453),s=t(24754),a=t(17886);const c={title:"Financial report parser",slug:"/financial-report-parser"},l=void 0,d={},h={annotations:s.hk,Code:s.Cy},p={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},u=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Create the financial report parser flow",id:"create-the-financial-report-parser-flow",level:2},{value:"Run the financial report parser flow",id:"run-the-financial-report-parser-flow",level:2}];function f(e){const n={a:"a",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return h||x("CH",!1),h.Code||x("CH.Code",!0),(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: 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format."]}),"\n",(0,o.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/get-started-installation",children:"A running Langflow instance"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"https://platform.openai.com/",children:"An OpenAI API key"})}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"create-the-financial-report-parser-flow",children:"Create the financial report parser flow"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["From the Langflow dashboard, click ",(0,o.jsx)(n.strong,{children:"New Flow"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Select ",(0,o.jsx)(n.strong,{children:"Financial Report Parser"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"Financial Report Parser"})," flow is created."]}),"\n",(0,o.jsx)(n.p,{children:(0,o.jsx)(n.img,{alt:"Financial report parser flow",src:t(56308).A+"",width:"4000",height:"2038"})}),"\n",(0,o.jsx)(n.h2,{id:"run-the-financial-report-parser-flow",children:"Run the financial report parser flow"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Add your ",(0,o.jsx)(n.strong,{children:"OpenAI API key"})," to the ",(0,o.jsx)(n.strong,{children:"Language model"})," model component.\nOptionally, create a ",(0,o.jsx)(n.a,{href:"/configuration-global-variables",children:"global variable"})," for the\xa0",(0,o.jsx)(n.strong,{children:"OpenAI API key"}),"."]}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["In the\xa0",(0,o.jsx)(n.strong,{children:"OpenAI API Key"}),"\xa0field, click ",(0,o.jsx)(a.A,{name:"Globe","aria-hidden":"True"})," ",(0,o.jsx)(n.strong,{children:"Globe"}),", and then click\xa0",(0,o.jsx)(n.strong,{children:"Add New Variable"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["In the\xa0",(0,o.jsx)(n.strong,{children:"Variable Name"}),"\xa0field, 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outputs."]}),"\n"]}),"\n",(0,o.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"EBITDA: {EBITDA}  ,  Net Income: {NET_INCOME} , GROSS_PROFIT: {GROSS_PROFIT}",props:{}}]}],lang:"text"},annotations:[]}]})]})}function g(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(f,{...e})}):f(e)}function x(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},56308:(e,n,t)=>{t.d(n,{A:()=>r});const r=t.p+"assets/images/starter-flow-financial-report-parser-5e11513e6ca4d6e4c0429e176e97fe90.png"}}]);
\ No newline at end of file
diff --git a/assets/js/6ffef3f1.8a036d4a.js b/assets/js/6ffef3f1.8a036d4a.js
new file mode 100644
index 0000000000..ffbb19e118
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tasks agent","permalink":"/sequential-agent"}}');var o=n(74848),i=n(28453),s=n(24754),a=n(17886);const c={title:"Financial report parser",slug:"/financial-report-parser"},l=void 0,d={},h={annotations:s.hk,Code:s.Cy},p={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},u=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Create the financial report parser flow",id:"create-the-financial-report-parser-flow",level:2},{value:"Run the financial report parser flow",id:"run-the-financial-report-parser-flow",level:2}];function f(e){const t={a:"a",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return h||x("CH",!1),h.Code||x("CH.Code",!0),(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: 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#6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n","\n",(0,o.jsx)(t.p,{children:"This flow demonstrates how to parse LLM responses into a structured format."}),"\n",(0,o.jsxs)(t.p,{children:["In this example, the ",(0,o.jsx)(t.a,{href:"/components-io#chat-input",children:"Chat Input"})," component is pre-loaded with a sample financial report to demonstrate extracting ",(0,o.jsx)(t.code,{children:"Gross Profit"}),", ",(0,o.jsx)(t.code,{children:"EBITDA"}),", and ",(0,o.jsx)(t.code,{children:"Net Income"}),".\nThe ",(0,o.jsx)(t.a,{href:"/components-processing#structured-output",children:"Structured output"})," component is used to extract the financial data from the report, and the ",(0,o.jsx)(t.a,{href:"/components-processing#parser",children:"Parser"})," component is used to convert the extracted data into a structured format."]}),"\n",(0,o.jsx)(t.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,o.jsxs)(t.ul,{children:["\n",(0,o.jsx)(t.li,{children:(0,o.jsx)(t.a,{href:"/get-started-installation",children:"Install and start Langflow"})}),"\n",(0,o.jsxs)(t.li,{children:["Create an ",(0,o.jsx)(t.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"})]}),"\n"]}),"\n",(0,o.jsx)(t.h2,{id:"create-the-financial-report-parser-flow",children:"Create the financial report parser flow"}),"\n",(0,o.jsxs)(t.ol,{children:["\n",(0,o.jsxs)(t.li,{children:["From the Langflow dashboard, click ",(0,o.jsx)(t.strong,{children:"New Flow"}),"."]}),"\n",(0,o.jsxs)(t.li,{children:["Select ",(0,o.jsx)(t.strong,{children:"Financial Report Parser"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(t.p,{children:["The ",(0,o.jsx)(t.strong,{children:"Financial Report Parser"})," flow is created."]}),"\n",(0,o.jsx)(t.p,{children:(0,o.jsx)(t.img,{alt:"Financial report parser flow",src:n(56308).A+"",width:"4000",height:"2038"})}),"\n",(0,o.jsx)(t.h2,{id:"run-the-financial-report-parser-flow",children:"Run the financial report parser flow"}),"\n",(0,o.jsxs)(t.ol,{children:["\n",(0,o.jsxs)(t.li,{children:["\n",(0,o.jsxs)(t.p,{children:["Add your ",(0,o.jsx)(t.strong,{children:"OpenAI API key"})," to the ",(0,o.jsx)(t.strong,{children:"Language model"})," model component.\nOptionally, create a ",(0,o.jsx)(t.a,{href:"/configuration-global-variables",children:"global variable"})," for the\xa0",(0,o.jsx)(t.strong,{children:"OpenAI API key"}),"."]}),"\n",(0,o.jsxs)(t.ol,{children:["\n",(0,o.jsxs)(t.li,{children:["In the\xa0",(0,o.jsx)(t.strong,{children:"OpenAI API Key"}),"\xa0field, click ",(0,o.jsx)(a.A,{name:"Globe","aria-hidden":"True"})," ",(0,o.jsx)(t.strong,{children:"Globe"}),", and then click\xa0",(0,o.jsx)(t.strong,{children:"Add New Variable"}),"."]}),"\n",(0,o.jsxs)(t.li,{children:["In the\xa0",(0,o.jsx)(t.strong,{children:"Variable Name"}),"\xa0field, enter\xa0",(0,o.jsx)(t.code,{children:"openai_api_key"}),"."]}),"\n",(0,o.jsxs)(t.li,{children:["In the\xa0",(0,o.jsx)(t.strong,{children:"Value"}),"\xa0field, paste your OpenAI API Key (",(0,o.jsx)(t.code,{children:"sk-..."}),")."]}),"\n",(0,o.jsxs)(t.li,{children:["Click\xa0",(0,o.jsx)(t.strong,{children:"Save Variable"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(t.li,{children:["\n",(0,o.jsxs)(t.p,{children:["To run the flow, click\xa0",(0,o.jsx)(a.A,{name:"Play","aria-hidden":"true"})," ",(0,o.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,o.jsx)(t.strong,{children:"Send"}),".\nThe ",(0,o.jsx)(t.strong,{children:"Chat Input"})," component is pre-loaded with a sample financial report for demonstration purposes.\nThe ",(0,o.jsx)(t.strong,{children:"Playground"})," returns a structured response:"]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"EBITDA: $900 million , Net Income: $500 million , GROSS_PROFIT: $1.2 billion",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,o.jsx)(t.p,{children:"Inspect the flow to understand how this information was extracted."}),"\n",(0,o.jsxs)(t.ol,{start:"3",children:["\n",(0,o.jsxs)(t.li,{children:["To inspect the output schema table, in the ",(0,o.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,o.jsx)(t.strong,{children:"Open table"}),".\nThe ",(0,o.jsx)(t.strong,{children:"Structured Output"})," component uses the attached ",(0,o.jsx)(t.strong,{children:"OpenAI"}),' model component as its "brain" to extract financial data into a ',(0,o.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"})," with this defined schema."]}),"\n"]}),"\n",(0,o.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"| Name         | Description           | Type | Multiple |",props:{}}]},{tokens:[{content:"|--------------|-----------------------|------|----------|",props:{}}]},{tokens:[{content:"| EBITDA       | description of field  | text | False    |",props:{}}]},{tokens:[{content:"| NET_INCOME   | description of field  | text | False    |",props:{}}]},{tokens:[{content:"| GROSS_PROFIT | description of field  | text | False    |",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,o.jsxs)(t.ol,{start:"4",children:["\n",(0,o.jsxs)(t.li,{children:["To inspect the template that contains the extracted data, in the ",(0,o.jsx)(t.strong,{children:"Parser"})," component, click ",(0,o.jsx)(a.A,{name:"Scan","aria-hidden":"true"})," ",(0,o.jsx)(t.strong,{children:"Scan"})," in the ",(0,o.jsx)(t.strong,{children:"Template"})," field.\nThe ",(0,o.jsx)(t.strong,{children:"Parser"})," component converts the extracted data into formatted messages for chat consumption.\nEach variable receives its value from the structured outputs."]}),"\n"]}),"\n",(0,o.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"EBITDA: {EBITDA}  ,  Net Income: {NET_INCOME} , GROSS_PROFIT: {GROSS_PROFIT}",props:{}}]}],lang:"text"},annotations:[]}]})]})}function g(e={}){const{wrapper:t}={...(0,i.R)(),...e.components};return t?(0,o.jsx)(t,{...e,children:(0,o.jsx)(f,{...e})}):f(e)}function x(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},56308:(e,t,n)=>{n.d(t,{A:()=>r});const r=n.p+"assets/images/starter-flow-financial-report-parser-5e11513e6ca4d6e4c0429e176e97fe90.png"}}]);
\ No newline at end of file
diff --git a/assets/js/730da84e.1a9cc7d0.js b/assets/js/730da84e.1a9cc7d0.js
new file mode 100644
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--- /dev/null
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[3263],{17886:(o,t,e)=>{e.d(t,{A:()=>l});e(96540);var n=e(64058),s=e(74848);function l({name:o,...t}){const e=n[o];return e?(0,s.jsx)(e,{...t}):null}},34593:(o,t,e)=>{e.r(t),e.d(t,{CH:()=>d,assets:()=>i,chCodeConfig:()=>h,contentTitle:()=>a,default:()=>x,frontMatter:()=>p,metadata:()=>n,toc:()=>y});const n=JSON.parse('{"id":"Agents/agents-tools","title":"Configure tools for agents","description":"Configure tools connected to agents to extend their capabilities.","source":"@site/docs/Agents/agents-tools.mdx","sourceDirName":"Agents","slug":"/agents-tools","permalink":"/agents-tools","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Configure tools for agents","slug":"/agents-tools"},"sidebar":"docs","previous":{"title":"Use Langflow agents","permalink":"/agents"},"next":{"title":"Use Langflow as an MCP client","permalink":"/mcp-client"}}');var s=e(74848),l=e(28453),r=e(24754),c=e(17886);const p={title:"Configure tools for agents",slug:"/agents-tools"},a=void 0,i={},d={annotations:r.hk,Code:r.Cy},h={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},y=[{value:"Edit a tool component&#39;s actions",id:"edit-a-tool-components-actions",level:2},{value:"Use an agent as a tool",id:"use-an-agent-as-a-tool",level:2},{value:"Add custom components as tools",id:"components-as-tools",level:2},{value:"Make any component a tool",id:"make-any-component-a-tool",level:2},{value:"Use flows as tools",id:"use-flows-as-tools",level:2},{value:"See also",id:"see-also",level:2}];function u(o){const t={a:"a",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,l.R)(),...o.components},{Details:n}=t;return d||g("CH",!1),d.Code||g("CH.Code",!0),n||g("Details",!0),(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n","\n",(0,s.jsx)(t.p,{children:"Configure tools connected to agents to extend their capabilities."}),"\n",(0,s.jsx)(t.h2,{id:"edit-a-tool-components-actions",children:"Edit a tool component's actions"}),"\n",(0,s.jsxs)(t.p,{children:["To edit a tool's actions, in the tool component, click ",(0,s.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Edit Tools"})," to modify its ",(0,s.jsx)(t.code,{children:"name"}),", ",(0,s.jsx)(t.code,{children:"description"}),", or ",(0,s.jsx)(t.code,{children:"enabled"})," metadata.\nThese fields help connected agents understand how to use the action, without having to modify the agent's prompt instructions."]}),"\n",(0,s.jsxs)(t.p,{children:["For example, the ",(0,s.jsx)(t.a,{href:"/components-data#url",children:"URL"})," component has two actions available when ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," is enabled:"]}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Tool Name"}),(0,s.jsx)(t.th,{children:"Description"}),(0,s.jsx)(t.th,{children:"Enabled"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:(0,s.jsx)(t.code,{children:"fetch_content"})}),(0,s.jsx)(t.td,{children:"Fetch content from web pages recursively"}),(0,s.jsx)(t.td,{children:"true"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:(0,s.jsx)(t.code,{children:"fetch_content_as_message"})}),(0,s.jsx)(t.td,{children:"Fetch web content formatted as messages"}),(0,s.jsx)(t.td,{children:"true"})]})]})]}),"\n",(0,s.jsxs)(t.p,{children:["A Langflow Agent has a clear idea of each tool's capabilities based on the ",(0,s.jsx)(t.code,{children:"name"})," and ",(0,s.jsx)(t.code,{children:"description"})," metadata. 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text,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "word_count"',props:{style:{color:"#A5D6FF"}}},{content:": word_count,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "character_count"',props:{style:{color:"#A5D6FF"}}},{content:": char_count,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "sentence_count"',props:{style:{color:"#A5D6FF"}}},{content:": sentence_count,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "reversed_text"',props:{style:{color:"#A5D6FF"}}},{content:": reversed_text,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "uppercase_text"',props:{style:{color:"#A5D6FF"}}},{content:": uppercase_text",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        data 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input."}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Open the ",(0,s.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Playground"})," and instruct the agent, ",(0,s.jsx)(t.code,{children:'Use the text analyzer on this text: "Agents really are thinking machines!"'})]}),"\n",(0,s.jsxs)(t.p,{children:["Based on your instruction, the agent should call the ",(0,s.jsx)(t.code,{children:"analyze_text"})," action and return the result.\nFor example:"]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"gpt-4o",props:{}}]},{tokens:[{content:"Finished",props:{}}]},{tokens:[{content:"0.6s",props:{}}]},{tokens:[{content:'Here is the analysis of the text "Agents really are thinking machines!":',props:{}}]},{tokens:[{content:"Original Text: Agents really are thinking machines!",props:{}}]},{tokens:[{content:"Word Count: 5",props:{}}]},{tokens:[{content:"Character Count: 36",props:{}}]},{tokens:[{content:"Sentence Count: 1",props:{}}]},{tokens:[{content:"Reversed Text: !senihcam gnikniht era yllaer stnegA",props:{}}]},{tokens:[{content:"Uppercase Text: AGENTS REALLY ARE THINKING MACHINES!",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"make-any-component-a-tool",children:"Make any component a tool"}),"\n",(0,s.jsxs)(t.p,{children:["If the component you want to use as a tool doesn't have a ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," button, add ",(0,s.jsx)(t.code,{children:"tool_mode=True"})," to one of the component's inputs, and connect the new ",(0,s.jsx)(t.strong,{children:"Toolset"})," output to the agent's ",(0,s.jsx)(t.strong,{children:"Tools"})," input."]}),"\n",(0,s.jsxs)(t.p,{children:["Langflow supports ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," for the following data 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value",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Hello, World!"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        tool_mode",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"True",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    ),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"]",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsx)(t.h2,{id:"use-flows-as-tools",children:"Use flows as tools"}),"\n",(0,s.jsxs)(t.p,{children:["An agent can use flows that are saved in your workspace as tools with the ",(0,s.jsx)(t.a,{href:"/components-logic#run-flow",children:"Run flow"})," component."]}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["To add a ",(0,s.jsx)(t.strong,{children:"Run flow"})," component, click and drag a 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\ No newline at end of file
diff --git a/assets/js/730da84e.fa3f001b.js b/assets/js/730da84e.fa3f001b.js
deleted file mode 100644
index 3feb3b912e..0000000000
--- a/assets/js/730da84e.fa3f001b.js
+++ /dev/null
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-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[3263],{17886:(o,t,e)=>{e.d(t,{A:()=>l});e(96540);var n=e(64058),s=e(74848);function l({name:o,...t}){const e=n[o];return e?(0,s.jsx)(e,{...t}):null}},34593:(o,t,e)=>{e.r(t),e.d(t,{CH:()=>d,assets:()=>i,chCodeConfig:()=>h,contentTitle:()=>a,default:()=>F,frontMatter:()=>p,metadata:()=>n,toc:()=>y});const n=JSON.parse('{"id":"Agents/agents-tools","title":"Configure tools for agents","description":"Configure tools connected to agents to extend their capabilities.","source":"@site/docs/Agents/agents-tools.mdx","sourceDirName":"Agents","slug":"/agents-tools","permalink":"/agents-tools","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Configure tools for agents","slug":"/agents-tools"},"sidebar":"docs","previous":{"title":"Use Langflow agents","permalink":"/agents"},"next":{"title":"Use Langflow as an MCP client","permalink":"/mcp-client"}}');var s=e(74848),l=e(28453),r=e(24754),c=e(17886);const p={title:"Configure tools for agents",slug:"/agents-tools"},a=void 0,i={},d={annotations:r.hk,Code:r.Cy},h={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},y=[{value:"Edit a tool component&#39;s actions",id:"edit-a-tool-components-actions",level:2},{value:"Use an agent as a tool",id:"use-an-agent-as-a-tool",level:2},{value:"Add custom components as tools",id:"components-as-tools",level:2},{value:"Make any component a tool",id:"make-any-component-a-tool",level:2},{value:"Use flows as tools",id:"use-flows-as-tools",level:2}];function u(o){const t={a:"a",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,l.R)(),...o.components},{Details:n}=t;return d||x("CH",!1),d.Code||x("CH.Code",!0),n||x("Details",!0),(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n","\n",(0,s.jsx)(t.p,{children:"Configure tools connected to agents to extend their capabilities."}),"\n",(0,s.jsx)(t.h2,{id:"edit-a-tool-components-actions",children:"Edit a tool component's actions"}),"\n",(0,s.jsxs)(t.p,{children:["To edit a tool's actions, in the tool component, click ",(0,s.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Edit Tools"})," to modify its ",(0,s.jsx)(t.code,{children:"name"}),", ",(0,s.jsx)(t.code,{children:"description"}),", or ",(0,s.jsx)(t.code,{children:"enabled"})," metadata.\nThese fields help connected agents understand how to use the action, without having to modify the agent's prompt instructions."]}),"\n",(0,s.jsxs)(t.p,{children:["For example, the ",(0,s.jsx)(t.a,{href:"/components-data#url",children:"URL"})," component has two actions available when ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," is enabled:"]}),"\n",(0,s.jsxs)(t.table,{children:[(0,s.jsx)(t.thead,{children:(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.th,{children:"Tool Name"}),(0,s.jsx)(t.th,{children:"Description"}),(0,s.jsx)(t.th,{children:"Enabled"})]})}),(0,s.jsxs)(t.tbody,{children:[(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:(0,s.jsx)(t.code,{children:"fetch_content"})}),(0,s.jsx)(t.td,{children:"Fetch content from web pages recursively"}),(0,s.jsx)(t.td,{children:"true"})]}),(0,s.jsxs)(t.tr,{children:[(0,s.jsx)(t.td,{children:(0,s.jsx)(t.code,{children:"fetch_content_as_message"})}),(0,s.jsx)(t.td,{children:"Fetch web content formatted as messages"}),(0,s.jsx)(t.td,{children:"true"})]})]})]}),"\n",(0,s.jsxs)(t.p,{children:["A Langflow Agent has a clear idea of each tool's capabilities based on the ",(0,s.jsx)(t.code,{children:"name"})," and ",(0,s.jsx)(t.code,{children:"description"})," metadata. 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If you want to change the tool identifier, create a custom component."}),"\n",(0,s.jsx)(t.h2,{id:"use-an-agent-as-a-tool",children:"Use an agent as a tool"}),"\n",(0,s.jsxs)(t.p,{children:["The agent component itself also supports ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," for creating multi-agent flows."]}),"\n",(0,s.jsx)(t.p,{children:"Add an agent to your flow that uses a different OpenAI model for a larger context window."}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["Create the ",(0,s.jsx)(t.a,{href:"/simple-agent",children:"Simple agent starter flow"}),"."]}),"\n",(0,s.jsx)(t.li,{children:"Add a second agent component to the flow."}),"\n",(0,s.jsxs)(t.li,{children:["Add your ",(0,s.jsx)(t.strong,{children:"OpenAI API Key"})," to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component."]}),"\n",(0,s.jsxs)(t.li,{children:["In the ",(0,s.jsx)(t.strong,{children:"Model Name"})," field, select ",(0,s.jsx)(t.code,{children:"gpt-4.1"}),"."]}),"\n",(0,s.jsxs)(t.li,{children:["Click ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," to use this new agent as a tool."]}),"\n",(0,s.jsxs)(t.li,{children:["Connect the new agent's ",(0,s.jsx)(t.strong,{children:"Toolset"})," port to the previously created agent's ",(0,s.jsx)(t.strong,{children:"Tools"})," port.\nThe new agent will use ",(0,s.jsx)(t.code,{children:"gpt-4.1"})," for the larger tasks of scraping and searching information that require large context windows.\nThe previously created agent will now use this agent as a tool, with its unique LLM and toolset."]}),"\n"]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"Agent as a tool",src:e(35443).A+"",width:"4000",height:"2600"})}),"\n",(0,s.jsxs)(t.ol,{start:"7",children:["\n",(0,s.jsxs)(t.li,{children:["The new agent's actions can be edited to help the agent understand how to use it.\nClick ",(0,s.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Edit Tools"})," to modify its ",(0,s.jsx)(t.code,{children:"name"}),", ",(0,s.jsx)(t.code,{children:"description"}),", or ",(0,s.jsx)(t.code,{children:"enabled"})," metadata.\nFor example, the default tool name is ",(0,s.jsx)(t.code,{children:"Agent"}),". Edit the name to ",(0,s.jsx)(t.code,{children:"Agent-gpt-41"}),", and edit the description to ",(0,s.jsx)(t.code,{children:"Use the gpt-4.1 model for complex problem solving"}),". The connected agent will understand that this is the ",(0,s.jsx)(t.code,{children:"gpt-4.1"})," agent, and will use it for tasks requiring a larger context window."]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"components-as-tools",children:"Add custom components as tools"}),"\n",(0,s.jsxs)(t.p,{children:["An agent can use ",(0,s.jsx)(t.a,{href:"/components-custom-components",children:"custom components"})," as tools."]}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["To add a custom component to the agent flow, click ",(0,s.jsx)(t.strong,{children:"New Custom Component"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Enter Python code into the ",(0,s.jsx)(t.strong,{children:"Code"})," pane to create the custom component."]}),"\n",(0,s.jsx)(t.p,{children:"If you don't already have code for a custom component, you can use the following code snippet as an example before creating your own."}),"\n",(0,s.jsxs)(n,{children:[(0,s.jsx)("summary",{children:"Text Analyzer custom component"}),(0,s.jsx)(t.p,{children:"This code creates a text analyzer component."}),(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.custom ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" Component",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.io ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" MessageTextInput, Output",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"from",props:{style:{color:"#FF7B72"}}},{content:" langflow.schema ",props:{style:{color:"#C9D1D9"}}},{content:"import",props:{style:{color:"#FF7B72"}}},{content:" 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",props:{style:{color:"#FF7B72"}}},{content:'"http://docs.langflow.org/components/custom"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    icon ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"chart-bar"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    name ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"TextAnalyzerComponent"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    inputs ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        MessageTextInput(",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"input_text"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Input Text"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            info",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Enter text to analyze"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            value",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Hello, World!"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            tool_mode",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"True",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        ),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    outputs ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        Output(",props:{style:{color:"#C9D1D9"}}},{content:"display_name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Analysis Result"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"name",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"output"',props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"method",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"analyze_text"',props:{style:{color:"#A5D6FF"}}},{content:"),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    def ",props:{style:{color:"#FF7B72"}}},{content:"analyze_text",props:{style:{color:"#D2A8FF"}}},{content:"(self) -> Data:",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        text ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"self",props:{style:{color:"#79C0FF"}}},{content:".input_text",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        # Perform text analysis",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        word_count ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"len",props:{style:{color:"#79C0FF"}}},{content:"(text.split())",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        char_count ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"len",props:{style:{color:"#79C0FF"}}},{content:"(text)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        sentence_count ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"len",props:{style:{color:"#79C0FF"}}},{content:"(re.findall(",props:{style:{color:"#C9D1D9"}}},{content:"r",props:{style:{color:"#FF7B72"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\w",props:{style:{color:"#79C0FF"}}},{content:"+",props:{style:{color:"#FF7B72"}}},{content:"[.!?]",props:{style:{color:"#79C0FF"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:", text))",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        # Transform text",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        reversed_text ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" text[::",props:{style:{color:"#C9D1D9"}}},{content:"-",props:{style:{color:"#FF7B72"}}},{content:"1",props:{style:{color:"#79C0FF"}}},{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        uppercase_text ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" text.upper()",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        analysis_result ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "original_text"',props:{style:{color:"#A5D6FF"}}},{content:": text,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "word_count"',props:{style:{color:"#A5D6FF"}}},{content:": word_count,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "character_count"',props:{style:{color:"#A5D6FF"}}},{content:": char_count,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "sentence_count"',props:{style:{color:"#A5D6FF"}}},{content:": sentence_count,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "reversed_text"',props:{style:{color:"#A5D6FF"}}},{content:": reversed_text,",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'            "uppercase_text"',props:{style:{color:"#A5D6FF"}}},{content:": uppercase_text",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        data ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" Data(",props:{style:{color:"#C9D1D9"}}},{content:"value",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"analysis_result)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        self",props:{style:{color:"#79C0FF"}}},{content:".status ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" data",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        return",props:{style:{color:"#FF7B72"}}},{content:" data",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]})]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["To use the custom component as a tool, click ",(0,s.jsx)(t.strong,{children:"Tool Mode"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Connect the custom component's tool output to the agent's tools input."}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Open the ",(0,s.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Playground"})," and instruct the agent, ",(0,s.jsx)(t.code,{children:'Use the text analyzer on this text: "Agents really are thinking machines!"'})]}),"\n",(0,s.jsxs)(t.p,{children:["Based on your instruction, the agent should call the ",(0,s.jsx)(t.code,{children:"analyze_text"})," action and return the result.\nFor example:"]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"gpt-4o",props:{}}]},{tokens:[{content:"Finished",props:{}}]},{tokens:[{content:"0.6s",props:{}}]},{tokens:[{content:'Here is the analysis of the text "Agents really are thinking machines!":',props:{}}]},{tokens:[{content:"Original Text: Agents really are thinking machines!",props:{}}]},{tokens:[{content:"Word Count: 5",props:{}}]},{tokens:[{content:"Character Count: 36",props:{}}]},{tokens:[{content:"Sentence Count: 1",props:{}}]},{tokens:[{content:"Reversed Text: !senihcam gnikniht era yllaer stnegA",props:{}}]},{tokens:[{content:"Uppercase Text: AGENTS REALLY ARE THINKING MACHINES!",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"make-any-component-a-tool",children:"Make any component a tool"}),"\n",(0,s.jsxs)(t.p,{children:["If the component you want to use as a tool doesn't have a ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," button, add ",(0,s.jsx)(t.code,{children:"tool_mode=True"})," to one of the component's inputs, and connect the new ",(0,s.jsx)(t.strong,{children:"Toolset"})," output to the agent's ",(0,s.jsx)(t.strong,{children:"Tools"})," input."]}),"\n",(0,s.jsxs)(t.p,{children:["Langflow supports ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," for the following data types:"]}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"DataInput"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"DataFrameInput"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"PromptInput"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"MessageTextInput"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"MultilineInput"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"DropdownInput"})}),"\n"]}),"\n",(0,s.jsxs)(t.p,{children:["For example, the ",(0,s.jsx)(t.a,{href:"#components-as-tools",children:"components as tools"})," example above adds ",(0,s.jsx)(t.code,{children:"tool_mode=True"})," to the ",(0,s.jsx)(t.code,{children:"MessageTextInput"})," input so the custom component can be used as a tool."]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"inputs 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value",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:'"Hello, World!"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        tool_mode",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"True",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    ),",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"]",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsx)(t.h2,{id:"use-flows-as-tools",children:"Use flows as tools"}),"\n",(0,s.jsxs)(t.p,{children:["An agent can use flows that are saved in your workspace as tools with the ",(0,s.jsx)(t.a,{href:"/components-logic#run-flow",children:"Run flow"})," component."]}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["To add a ",(0,s.jsx)(t.strong,{children:"Run flow"})," component, click and drag a ",(0,s.jsx)(t.strong,{children:"Run flow"})," component to your workspace."]}),"\n",(0,s.jsx)(t.li,{children:"Select the flow you want the agent to use as a tool."}),"\n",(0,s.jsxs)(t.li,{children:["Enable ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," in the component.\nThe ",(0,s.jsx)(t.strong,{children:"Run flow"})," component displays your flow as an available action."]}),"\n",(0,s.jsxs)(t.li,{children:["Connect the ",(0,s.jsx)(t.strong,{children:"Run flow"})," component's tool output to the agent's tools input."]}),"\n",(0,s.jsxs)(t.li,{children:["Ask the agent, ",(0,s.jsx)(t.code,{children:"What tools are you using to answer my questions?"}),"\nYour flow should be visible in the response as a tool."]}),"\n",(0,s.jsx)(t.li,{children:"Ask the agent to specifically use the connected tool to answer your question.\nThe connected flow returns an answer based on your question.\nFor example, a Basic Prompting flow connected as a tool returns a different result depending upon its LLM and prompt instructions."}),"\n"]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"Run Flow as tool connected to an agent",src:e(51802).A+"",width:"4000",height:"2860"})})]})}function F(o={}){const{wrapper:t}={...(0,l.R)(),...o.components};return t?(0,s.jsx)(t,{...o,children:(0,s.jsx)(u,{...o})}):u(o)}function x(o,t){throw new Error("Expected "+(t?"component":"object")+" `"+o+"` to be defined: you likely forgot to import, pass, or provide it.")}},35443:(o,t,e)=>{e.d(t,{A:()=>n});const n=e.p+"assets/images/agent-example-agent-as-tool-0e0b6761f97ce60d6b2476dc4188d37c.png"},51802:(o,t,e)=>{e.d(t,{A:()=>n});const n=e.p+"assets/images/agent-example-run-flow-as-tool-d9830a35be2ea5ac0fc76e1e3cc5692b.png"}}]);
\ No newline at end of file
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--- a/assets/js/7819cc1c.d97a1f81.js
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@@ -1 +1 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[6006],{9898:(e,t,n)=>{n.d(t,{A:()=>s});const s=n.p+"assets/images/component-llm-router-1b417082a0208a70065bc177a78fab67.png"},13533:(e,t,n)=>{n.d(t,{A:()=>s});const s=n.p+"assets/images/component-dataframe-operations-031488ccf4e3d3378f8842f0ea10682c.png"},17886:(e,t,n)=>{n.d(t,{A:()=>o});n(96540);var s=n(64058),r=n(74848);function o({name:e,...t}){const n=s[e];return n?(0,r.jsx)(n,{...t}):null}},35073:(e,t,n)=>{n.d(t,{A:()=>s});const s=n.p+"assets/images/component-save-to-file-67ebbb733732670897bedd9fd1b87583.png"},40966:(e,t,n)=>{n.r(t),n.d(t,{CH:()=>h,assets:()=>d,chCodeConfig:()=>p,contentTitle:()=>a,default:()=>m,frontMatter:()=>l,metadata:()=>s,toc:()=>x});const s=JSON.parse('{"id":"Components/components-processing","title":"Processing components","description":"Langflow\'s processing components process and transform data within a flow.","source":"@site/docs/Components/components-processing.mdx","sourceDirName":"Components","slug":"/components-processing","permalink":"/components-processing","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Processing components","slug":"/components-processing"},"sidebar":"docs","previous":{"title":"Vector Stores","permalink":"/components-vector-stores"},"next":{"title":"Prompt Template","permalink":"/components-prompts"}}');var r=n(74848),o=n(28453),i=n(24754),c=n(17886);const l={title:"Processing components",slug:"/components-processing"},a=void 0,d={},h={annotations:i.hk,Code:i.Cy},p={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},x=[{value:"Prompt Template",id:"prompt-template",level:2},{value:"Batch Run",id:"batch-run",level:2},{value:"Use the Batch Run component in a flow",id:"use-the-batch-run-component-in-a-flow",level:3},{value:"Batch Run 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output",id:"structured-output",level:2},{value:"Type convert",id:"type-convert",level:2},{value:"Legacy processing components",id:"legacy-processing-components",level:2}];function j(e){const t={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,o.R)(),...e.components},{Details:s}=t;return h||u("CH",!1),h.Code||u("CH.Code",!0),s||u("Details",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: 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your LLMs and agents with the ",(0,r.jsxs)(t.a,{href:"#prompt-template",children:[(0,r.jsx)(t.strong,{children:"Prompt Template"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Extract content from larger chunks of data with a ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Filter data with natural language with the ",(0,r.jsxs)(t.a,{href:"#smart-function",children:[(0,r.jsx)(t.strong,{children:"Smart Function"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Save data to your local machine with the ",(0,r.jsxs)(t.a,{href:"#save-file",children:[(0,r.jsx)(t.strong,{children:"Save File"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Transform data into a different data type with the ",(0,r.jsxs)(t.a,{href:"#type-convert",children:[(0,r.jsx)(t.strong,{children:"Type Convert"})," component"]})," to pass it between incompatible components."]}),"\n"]}),"\n",(0,r.jsx)(t.h2,{id:"prompt-template",children:"Prompt Template"}),"\n",(0,r.jsxs)(t.p,{children:["See ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt Template"}),"."]}),"\n",(0,r.jsx)(t.h2,{id:"batch-run",children:"Batch Run"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component runs a language model over ",(0,r.jsx)(t.em,{children:"each row of one text column"})," in a ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:(0,r.jsx)(t.code,{children:"DataFrame"})}),", and then returns a new ",(0,r.jsx)(t.code,{children:"DataFrame"})," with the original text and an LLM response."]}),"\n",(0,r.jsx)(t.p,{children:"The response contains the following columns:"}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"text_input"}),": The original text from the input 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",(0,r.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Controls"}),", enable the ",(0,r.jsx)(t.strong,{children:"System Message"})," parameter, click ",(0,r.jsx)(t.strong,{children:"Close"}),", and then enter an instruction for how you want the LLM to process each cell extracted from the file.\nFor example, ",(0,r.jsx)(t.code,{children:"Create a business card for each name."})]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Parser"})," component's ",(0,r.jsx)(t.strong,{children:"Template"})," field, enter a template for processing the ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component's new ",(0,r.jsx)(t.code,{children:"DataFrame"})," columns (",(0,r.jsx)(t.code,{children:"text_input"}),", ",(0,r.jsx)(t.code,{children:"model_response"}),", and ",(0,r.jsx)(t.code,{children:"batch_index"}),"):"]}),"\n",(0,r.jsxs)(t.p,{children:["For example, this template uses three columns 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Connect the 'Language Model' output from your LLM component here. Required."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"system_message"}),(0,r.jsx)(t.td,{children:"MultilineInput"}),(0,r.jsx)(t.td,{children:"Input parameter. A multi-line system instruction for all rows in the DataFrame."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrameInput"}),(0,r.jsx)(t.td,{children:"Input parameter. The DataFrame whose column is treated as text messages, as specified by 'column_name'. Required."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"MessageTextInput"}),(0,r.jsx)(t.td,{children:"Input parameter. The name of the DataFrame column to treat as text messages. If empty, all columns are formatted in TOML."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output_column_name"}),(0,r.jsx)(t.td,{children:"MessageTextInput"}),(0,r.jsxs)(t.td,{children:["Input parameter. Name of the column where the model's response is stored. Default=",(0,r.jsx)(t.code,{children:"model_response"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"enable_metadata"}),(0,r.jsx)(t.td,{children:"BoolInput"}),(0,r.jsx)(t.td,{children:"Input parameter. If True, add metadata to the output DataFrame."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"batch_results"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"Output parameter. A DataFrame with all original columns plus the model's response column."})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"data-operations",children:"Data Operations"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component performs operations on ",(0,r.jsx)(t.a,{href:"/data-types#data",children:(0,r.jsx)(t.code,{children:"Data"})})," objects, including selecting keys, evaluating literals, combining data, filtering values, appending/updating data, removing keys, and renaming keys."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component in a flow, you must connect its ",(0,r.jsx)(t.strong,{children:"Data"})," input port to the output port of a component that outputs ",(0,r.jsx)(t.code,{children:"Data"}),".\nAll operations in the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component require at least one ",(0,r.jsx)(t.code,{children:"Data"})," input."]}),"\n",(0,r.jsxs)(t.p,{children:["For this example, add a ",(0,r.jsx)(t.strong,{children:"Webhook"})," component to the flow, and then connect it to a ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component. Assume you'll send requests to the webhook with a consistent payload that has ",(0,r.jsx)(t.code,{children:"name"}),", ",(0,r.jsx)(t.code,{children:"username"}),", and ",(0,r.jsx)(t.code,{children:"email"})," keys."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Operations"})," field, select the operation you want to perform on the incoming ",(0,r.jsx)(t.code,{children:"Data"}),".\nFor this example, select the ",(0,r.jsx)(t.strong,{children:"Select Keys"})," operation to extract specific user information."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Add keys for ",(0,r.jsx)(t.code,{children:"name"}),", ",(0,r.jsx)(t.code,{children:"username"}),", and ",(0,r.jsx)(t.code,{children:"email"})," to select those values from the incoming request payload."]}),"\n",(0,r.jsxs)(t.p,{children:["To add additional keys, click ",(0,r.jsx)(c.A,{name:"Plus","aria-hidden":"True"})," ",(0,r.jsx)(t.strong,{children:"Add more"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A flow with Webhook, Data Operations, and Chat Output components",src:n(46445).A+"",width:"4000",height:"1920"})}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["To test the flow, send the following request to your flow's webhook endpoint, and then open the ",(0,r.jsx)(t.strong,{children:"Playground"})," to see the resulting output from processing the payload."]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:'POST "http://',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_SERVER_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/webhook/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-H ",props:{style:{color:"#C9D1D9"}}},{content:'"Content-Type: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-H ",props:{style:{color:"#C9D1D9"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-d ",props:{style:{color:"#C9D1D9"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "id": 1,',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "name": "Leanne Graham",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "username": "Bret",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "email": "Sincere@april.biz",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "address": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "street": "Main Street",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "suite": "Apt. 556",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "city": "Springfield",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "zipcode": "92998-3874",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "geo": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "lat": "-37.3159",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "lng": "81.1496"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  },",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "phone": "1-770-736-8031 x56442",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "website": "hildegard.org",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "company": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "name": "Acme-Corp",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "catchPhrase": "Multi-layered client-server neural-net",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "bs": "harness real-time e-markets"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(t.h3,{id:"data-operations-parameters",children:"Data Operations parameters"}),"\n",(0,r.jsxs)(t.p,{children:["Some ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Controls"})," in the ",(0,r.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsxs)(t.td,{children:["Input parameter. The ",(0,r.jsx)(t.code,{children:"Data"})," object to operate on."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operations"}),(0,r.jsx)(t.td,{children:"Operations"}),(0,r.jsxs)(t.td,{children:["Input parameter. The operation to perform on the data. See ",(0,r.jsx)(t.a,{href:"#data-operations-operations",children:"Data Operations operations"})]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"select_keys_input"}),(0,r.jsx)(t.td,{children:"Select Keys"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of keys to select from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_key"}),(0,r.jsx)(t.td,{children:"Filter Key"}),(0,r.jsx)(t.td,{children:"Input parameter. The key to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operator"}),(0,r.jsx)(t.td,{children:"Comparison Operator"}),(0,r.jsx)(t.td,{children:"Input parameter. The operator to apply for comparing values."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_values"}),(0,r.jsx)(t.td,{children:"Filter Values"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of values to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"append_update_data"}),(0,r.jsx)(t.td,{children:"Append or Update"}),(0,r.jsx)(t.td,{children:"Input parameter. The data to append or update the existing data with."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_keys_input"}),(0,r.jsx)(t.td,{children:"Remove Keys"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of keys to remove from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"rename_keys_input"}),(0,r.jsx)(t.td,{children:"Rename Keys"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of keys to rename in the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_output"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"Output parameter. The resulting Data object after the operation."})]})]})]}),"\n",(0,r.jsx)(t.h3,{id:"data-operations-operations",children:"Data Operations operations"}),"\n",(0,r.jsxs)(t.p,{children:["Options for the ",(0,r.jsx)(t.code,{children:"operations"})," input parameter are as follows.\nAll operations act on an incoming ",(0,r.jsx)(t.code,{children:"Data"})," object."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Required Inputs"}),(0,r.jsx)(t.th,{children:"Process"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Select Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"select_keys_input"})}),(0,r.jsx)(t.td,{children:"Selects specific keys from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Literal Eval"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Evaluates string values as Python literals."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Combine"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Combines multiple data objects into one."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Filter Values"}),(0,r.jsxs)(t.td,{children:[(0,r.jsx)(t.code,{children:"filter_key"}),", ",(0,r.jsx)(t.code,{children:"filter_values"}),", ",(0,r.jsx)(t.code,{children:"operator"})]}),(0,r.jsx)(t.td,{children:"Filters data based on key-value pair."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Append or Update"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"append_update_data"})}),(0,r.jsx)(t.td,{children:"Adds or updates key-value pairs."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Remove Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"remove_keys_input"})}),(0,r.jsx)(t.td,{children:"Removes specified keys from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Rename Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"rename_keys_input"})}),(0,r.jsx)(t.td,{children:"Renames keys in the data."})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"dataframe-operations",children:"DataFrame operations"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"DataFrame"})," component performs operations on ",(0,r.jsx)(t.a,{href:"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",children:(0,r.jsx)(t.code,{children:"DataFrame"})})," rows and columns."]}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component in a flow, you must connect its ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input port to the output port of a component that outputs ",(0,r.jsx)(t.code,{children:"DataFrame"}),".\nAll operations in the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component require at least one ",(0,r.jsx)(t.code,{children:"DataFrame"})," input."]}),"\n",(0,r.jsxs)(t.p,{children:["The following example fetches JSON data from an API. The ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," component extracts and flattens the results into a tabular ",(0,r.jsx)(t.code,{children:"DataFrame"})," that is then processed through the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A flow that ingests an API response, extracts it to a DataFrame with a Smart Filter component, and the processes it through a DataFrame Operations component",src:n(13533).A+"",width:"4000",height:"2120"})}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["The ",(0,r.jsx)(t.strong,{children:"API Request"})," component retrieves data with only ",(0,r.jsx)(t.code,{children:"source"})," and ",(0,r.jsx)(t.code,{children:"result"})," fields.\nFor this example, the desired data is nested within the ",(0,r.jsx)(t.code,{children:"result"})," field."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," to the API request component, and a ",(0,r.jsx)(t.strong,{children:"Language model"})," to the ",(0,r.jsx)(t.strong,{children:"Smart Filter"}),". This example connects a ",(0,r.jsx)(t.strong,{children:"Groq"})," model component."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Groq"})," model component, add your ",(0,r.jsx)(t.strong,{children:"Groq"})," API key."]}),"\n",(0,r.jsxs)(t.li,{children:["To filter the data, in the ",(0,r.jsx)(t.strong,{children:"Smart filter"})," component, in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field, use natural language to describe how the data should be filtered.\nFor this example, enter:"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I want to explode the result column out into a Data object",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsxs)(t.p,{children:["Avoid punctuation in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field, as it can cause errors."]})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["To run the flow, in the ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," component, click ",(0,r.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Run component"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To inspect the filtered data, in the ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," component, click ",(0,r.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Inspect output"}),".\nThe result is a structured DataFrame."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"id | name             | company               | username        | email                              | address           | zip",props:{}}]},{tokens:[{content:"---|------------------|----------------------|-----------------|------------------------------------|-------------------|-------",props:{}}]},{tokens:[{content:"1  | Emily Johnson    | ABC Corporation      | emily_johnson   | emily.johnson@abccorporation.com   | 123 Main St       | 12345",props:{}}]},{tokens:[{content:"2  | Michael Williams | XYZ Corp             | michael_williams| michael.williams@xyzcorp.com       | 456 Elm Ave       | 67890",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"7",children:["\n",(0,r.jsxs)(t.li,{children:["Add the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component, and a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the flow."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component, in the ",(0,r.jsx)(t.strong,{children:"Operation"})," field, select ",(0,r.jsx)(t.strong,{children:"Filter"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To apply a filter, in the ",(0,r.jsx)(t.strong,{children:"Column Name"})," field, enter a column to filter on. This example filters by ",(0,r.jsx)(t.code,{children:"name"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,r.jsx)(t.strong,{children:"Run Flow"}),".\nThe flow extracts the values from the ",(0,r.jsx)(t.code,{children:"name"})," column."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"name",props:{}}]},{tokens:[{content:"Emily Johnson",props:{}}]},{tokens:[{content:"Michael Williams",props:{}}]},{tokens:[{content:"John Smith",props:{}}]},{tokens:[{content:"...",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"operations",children:"Operations"}),"\n",(0,r.jsxs)(t.p,{children:["This component can perform the following operations on Pandas ",(0,r.jsx)(t.a,{href:"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",children:"DataFrame"}),"."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Operation"}),(0,r.jsx)(t.th,{children:"Required Inputs"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Add Column"}),(0,r.jsx)(t.td,{children:"new_column_name, new_column_value"}),(0,r.jsx)(t.td,{children:"Adds a new column with a constant value."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Drop Column"}),(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"Removes a specified column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Filter"}),(0,r.jsx)(t.td,{children:"column_name, filter_value"}),(0,r.jsx)(t.td,{children:"Filters rows based on column value."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Head"}),(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsxs)(t.td,{children:["Returns first ",(0,r.jsx)(t.code,{children:"n"})," rows."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Rename Column"}),(0,r.jsx)(t.td,{children:"column_name, new_column_name"}),(0,r.jsx)(t.td,{children:"Renames an existing column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Replace Value"}),(0,r.jsx)(t.td,{children:"column_name, replace_value, replacement_value"}),(0,r.jsx)(t.td,{children:"Replaces values in a column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Select Columns"}),(0,r.jsx)(t.td,{children:"columns_to_select"}),(0,r.jsx)(t.td,{children:"Selects specific columns."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Sort"}),(0,r.jsx)(t.td,{children:"column_name, ascending"}),(0,r.jsx)(t.td,{children:"Sorts DataFrame by column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Tail"}),(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsxs)(t.td,{children:["Returns last ",(0,r.jsx)(t.code,{children:"n"})," rows."]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The input DataFrame to operate on."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operation"}),(0,r.jsx)(t.td,{children:"Operation"}),(0,r.jsx)(t.td,{children:"The DataFrame operation to perform. Options include Add Column, Drop Column, Filter, Head, Rename Column, Replace Value, Select Columns, Sort, and Tail."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"Column Name"}),(0,r.jsx)(t.td,{children:"The column name to use for the operation."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_value"}),(0,r.jsx)(t.td,{children:"Filter Value"}),(0,r.jsx)(t.td,{children:"The value to filter rows by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"ascending"}),(0,r.jsx)(t.td,{children:"Sort Ascending"}),(0,r.jsx)(t.td,{children:"Whether to sort in ascending order."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_name"}),(0,r.jsx)(t.td,{children:"New Column Name"}),(0,r.jsx)(t.td,{children:"The new column name when renaming or adding a column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_value"}),(0,r.jsx)(t.td,{children:"New Column Value"}),(0,r.jsx)(t.td,{children:"The value to populate the new column with."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"columns_to_select"}),(0,r.jsx)(t.td,{children:"Columns to Select"}),(0,r.jsx)(t.td,{children:"A list of column names to select."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsx)(t.td,{children:"Number of Rows"}),(0,r.jsx)(t.td,{children:"The number of rows to return for head/tail operations. The default is 5."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replace_value"}),(0,r.jsx)(t.td,{children:"Value to Replace"}),(0,r.jsx)(t.td,{children:"The value to replace in the column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replacement_value"}),(0,r.jsx)(t.td,{children:"Replacement Value"}),(0,r.jsx)(t.td,{children:"The value to replace with."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The resulting DataFrame after the operation."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"llm-router",children:"LLM router"}),"\n",(0,r.jsxs)(t.p,{children:["This component routes requests to the most appropriate LLM based on ",(0,r.jsx)(t.a,{href:"https://openrouter.ai/docs/quickstart",children:"OpenRouter"})," model specifications."]}),"\n",(0,r.jsx)(t.p,{children:"The judge LLM analyzed your input message to understand the evaluation context, and then selects the most appropriate model from your LLM pool."}),"\n",(0,r.jsx)(t.p,{children:"The selected model processes your input and returns the response."}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"LLM Router"})," component in a flow, do the following:"]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect multiple ",(0,r.jsx)(t.strong,{children:"Language Model"})," components to the ",(0,r.jsx)(t.strong,{children:"LLM Router"}),"'s ",(0,r.jsx)(t.strong,{children:"Language Models"})," input."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Judge LLM"})," component to the ",(0,r.jsx)(t.strong,{children:"Judge LLM"})," input."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect ",(0,r.jsx)(t.strong,{children:"Chat Input"})," and ",(0,r.jsx)(t.strong,{children:"Chat Output"})," components to the ",(0,r.jsx)(t.strong,{children:"LLM Router"}),".\nThe flow looks like this:"]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"LLM router component",src:n(9898).A+"",width:"3316",height:"2492"})}),"\n",(0,r.jsxs)(t.ol,{start:"4",children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the LLM Router component, set your ",(0,r.jsx)(t.strong,{children:"Optimization"})," preference:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Quality"}),": Prioritizes the highest quality response."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Speed"}),": Prioritizes the fastest response time."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Cost"}),": Prioritizes the most cost-effective option."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Balanced"}),": Strikes a balance between quality, speed, and cost."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Run the flow.\nYour input is the task that the LLM router evaluates the models against, such as ",(0,r.jsx)(t.code,{children:"Write a story about horses"})," or ",(0,r.jsx)(t.code,{children:"How do I parse data objects out of JSON?"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the LLM Router component, select the ",(0,r.jsx)(t.strong,{children:"Model Selection Decision"})," output to view the router's reasoning."]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Model Selection Decision:",props:{}}]},{tokens:[{content:"- Selected Model Index: 0",props:{}}]},{tokens:[{content:"- Selected Langflow Model Name: gpt-4o-mini",props:{}}]},{tokens:[{content:"- Selected API Model ID (if resolved): openai/gpt-4o-mini",props:{}}]},{tokens:[{content:"- Optimization Preference: cost",props:{}}]},{tokens:[{content:"- Input Query Length: 27 characters (~5 tokens)",props:{}}]},{tokens:[{content:"- Number of Models Considered: 2",props:{}}]},{tokens:[{content:"- Specifications Source: OpenRouter API",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"models"}),(0,r.jsx)(t.td,{children:"Language Models"}),(0,r.jsx)(t.td,{children:"A list of LLMs to route between."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"Input"}),(0,r.jsx)(t.td,{children:"The input message to be routed."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"judge_llm"}),(0,r.jsx)(t.td,{children:"Judge LLM"}),(0,r.jsx)(t.td,{children:"The LLM that evaluates and selects the most appropriate model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"optimization"}),(0,r.jsx)(t.td,{children:"Optimization"}),(0,r.jsx)(t.td,{children:"The optimization preference between quality, speed, cost, or balanced."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Output"}),(0,r.jsx)(t.td,{children:"The response from the selected model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"selected_model"}),(0,r.jsx)(t.td,{children:"Selected Model"}),(0,r.jsx)(t.td,{children:"The name of the chosen model."})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"parser",children:"Parser"}),"\n",(0,r.jsxs)(t.p,{children:["This component formats ",(0,r.jsx)(t.code,{children:"DataFrame"})," or ",(0,r.jsx)(t.code,{children:"Data"})," objects into text using templates, with an option to convert inputs directly to strings using ",(0,r.jsx)(t.code,{children:"stringify"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use this component, create variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component. For ",(0,r.jsx)(t.code,{children:"DataFrames"}),", use column names, for example ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For ",(0,r.jsx)(t.code,{children:"Data"})," objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Parser"})," component with a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, do the following:"]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to the ",(0,r.jsx)(t.strong,{children:"Parser"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"File"})," component to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Message"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"OpenAI"})," model component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," output to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," input."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"The flow looks like this:"}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A parser component connected to OpenAI and structured output",src:n(96218).A+"",width:"4000",height:"2202"})}),"\n",(0,r.jsxs)(t.ol,{start:"4",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,r.jsx)(t.strong,{children:"Open Table"}),".\nThis opens a pane for structuring your table.\nThe table contains the rows ",(0,r.jsx)(t.strong,{children:"Name"}),", ",(0,r.jsx)(t.strong,{children:"Description"}),", ",(0,r.jsx)(t.strong,{children:"Type"}),", and ",(0,r.jsx)(t.strong,{children:"Multiple"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Create a table that maps to the data you're loading from the ",(0,r.jsx)(t.strong,{children:"File"})," loader.\nFor example, to create a table for employees, you might have the rows ",(0,r.jsx)(t.code,{children:"id"}),", ",(0,r.jsx)(t.code,{children:"name"}),", and ",(0,r.jsx)(t.code,{children:"email"}),", all of type ",(0,r.jsx)(t.code,{children:"string"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Template"})," field of the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, enter a template for parsing the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's DataFrame output into structured text.\nCreate variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component.\nFor example, to present a table of employees in Markdown:"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Employee Profile",props:{}}]},{tokens:[{content:"## Personal Information",props:{}}]},{tokens:[{content:"- **Name:** {name}",props:{}}]},{tokens:[{content:"- **ID:** {id}",props:{}}]},{tokens:[{content:"- **Email:** {email}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"7",children:["\n",(0,r.jsxs)(t.li,{children:["To run the flow, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Run component"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To view your parsed text, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Inspect output"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Optionally, connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component, and open the ",(0,r.jsx)(t.strong,{children:"Playground"})," to see the output."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For an additional example of using the ",(0,r.jsx)(t.strong,{children:"Parser"})," component to format a DataFrame from a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, see the ",(0,r.jsx)(t.strong,{children:"Market Research"})," template flow."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"mode"}),(0,r.jsx)(t.td,{children:"Mode"}),(0,r.jsx)(t.td,{children:'The tab selection between "Parser" and "Stringify" modes. "Stringify" converts input to a string instead of using a template.'})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Template"}),(0,r.jsxs)(t.td,{children:["The template for formatting using variables in curly brackets. For DataFrames, use column names, such as ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For Data objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Data or DataFrame"}),(0,r.jsx)(t.td,{children:"The input to parse. Accepts either a DataFrame or Data object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sep"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsx)(t.td,{children:"The string used to separate rows or items. The default is a newline."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"clean_data"}),(0,r.jsx)(t.td,{children:"Clean Data"}),(0,r.jsx)(t.td,{children:"When stringify is enabled, this option cleans data by removing empty rows and lines."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"parsed_text"}),(0,r.jsx)(t.td,{children:"Parsed Text"}),(0,r.jsxs)(t.td,{children:["The resulting formatted text as a ",(0,r.jsx)(t.a,{href:"/data-types#message",children:"Message"})," object."]})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"python-interpreter",children:"Python Interpreter"}),"\n",(0,r.jsx)(t.p,{children:"This component allows you to execute Python code with imported packages."}),"\n",(0,r.jsx)(t.h3,{id:"use-the-python-interpreter-in-a-flow",children:"Use the Python Interpreter in a flow"}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow,in the ",(0,r.jsx)(t.strong,{children:"Global Imports"})," field, add the packages you want to import as a comma-separated list, such as ",(0,r.jsx)(t.code,{children:"math,pandas"}),".\nAt least one import is required."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Python Code"})," field, enter the Python code you want to execute. Use ",(0,r.jsx)(t.code,{children:"print()"})," to see the output."]}),"\n",(0,r.jsxs)(t.li,{children:["Optionally, enable ",(0,r.jsx)(t.strong,{children:"Tool Mode"})," and connect the interpreter to an ",(0,r.jsx)(t.strong,{children:"Agent"})," as a tool.\nFor example, connect a ",(0,r.jsx)(t.strong,{children:"Python Interpreter"})," and a ",(0,r.jsx)(t.a,{href:"/components-helpers#calculator",children:"Calculator"})," as tools for an Agent, and test how it chooses different tools to solve math problems.\nThe flow looks like this:\n",(0,r.jsx)(t.img,{alt:"Python Interpreter and calculator connected to Agent",src:n(99e3).A+"",width:"3988",height:"2928"})]}),"\n",(0,r.jsxs)(t.li,{children:["Ask the agent an easier math question.\nThe ",(0,r.jsx)(t.strong,{children:"Calculator"})," tool can add, subtract, multiple, divide, or perform exponentiation.\nThe agent executes the ",(0,r.jsx)(t.code,{children:"evaluate_expression"})," tool to correctly answer the question."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Executed evaluate_expression",props:{}}]},{tokens:[{content:"Input:",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'  "expression": "2+5"',props:{}}]},{tokens:[{content:"}",props:{}}]},{tokens:[{content:"Output:",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'  "result": "7"',props:{}}]},{tokens:[{content:"}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Give the agent complete Python code.\nThis example creates a Pandas DataFrame table with the imported ",(0,r.jsx)(t.code,{children:"pandas"})," packages, and returns the square root of the mean squares."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" pandas ",props:{style:{color:"#C9D1D9"}}},{content:"as",props:{style:{color:"#FF7B72"}}},{content:" pd",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" math",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Create a simple DataFrame",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"df ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" pd.DataFrame({",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    'numbers'",props:{style:{color:"#A5D6FF"}}},{content:": [",props:{style:{color:"#C9D1D9"}}},{content:"1",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"2",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"3",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"4",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"5",props:{style:{color:"#79C0FF"}}},{content:"],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    'squares'",props:{style:{color:"#A5D6FF"}}},{content:": [x",props:{style:{color:"#C9D1D9"}}},{content:"**",props:{style:{color:"#FF7B72"}}},{content:"2 ",props:{style:{color:"#79C0FF"}}},{content:"for",props:{style:{color:"#FF7B72"}}},{content:" x ",props:{style:{color:"#C9D1D9"}}},{content:"in ",props:{style:{color:"#FF7B72"}}},{content:"range",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"1",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"6",props:{style:{color:"#79C0FF"}}},{content:")]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"})",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Calculate the square root of the mean",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"result ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" math.sqrt(df[",props:{style:{color:"#C9D1D9"}}},{content:"'squares'",props:{style:{color:"#A5D6FF"}}},{content:"].mean())",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"f",props:{style:{color:"#FF7B72"}}},{content:'"Square root of mean squares: ',props:{style:{color:"#A5D6FF"}}},{content:"{",props:{style:{color:"#79C0FF"}}},{content:"result",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,r.jsxs)(t.p,{children:["The Agent correctly chooses the ",(0,r.jsx)(t.code,{children:"run_python_repl"})," tool to solve the problem."]}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Executed run_python_repl",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Input:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:"  \"python_code\": \"import pandas as pd\\nimport math\\n\\n# Create a simple DataFrame\\ndf = pd.DataFrame({\\n    'numbers': [1, 2, 3, 4, 5],\\n    'squares': [x**2 for x in range(1, 6)]\\n})\\n\\n# Calculate the square root of the mean\\nresult = math.sqrt(df['squares'].mean())\\nprint(f\\\"Square root of mean squares: {result}\\\")\"",props:{}}]},{tokens:[{content:"}",props:{}}]},{tokens:[{content:"Output:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'  "result": "Square root of mean squares: 3.3166247903554"',props:{}}]},{tokens:[{content:"}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.p,{children:["If you don't include the package imports in the chat, the Agent can still create the table using ",(0,r.jsx)(t.code,{children:"pd.DataFrame"}),", because the ",(0,r.jsx)(t.code,{children:"pandas"})," package is imported globally by the Python interpreter component in the ",(0,r.jsx)(t.strong,{children:"Global Imports"})," field."]}),"\n",(0,r.jsx)(t.h3,{id:"python-interpreter-parameters",children:"Python Interpreter parameters"}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"global_imports"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsxs)(t.td,{children:["Input parameter. A comma-separated list of modules to import globally, such as ",(0,r.jsx)(t.code,{children:"math,pandas,numpy"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"python_code"}),(0,r.jsx)(t.td,{children:"Code"}),(0,r.jsx)(t.td,{children:"Input parameter. The Python code to execute. Only modules specified in Global Imports can be used."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"results"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"Output parameter. The output of the executed Python code, including any printed results or errors."})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"save-file",children:"Save file"}),"\n",(0,r.jsxs)(t.p,{children:["This component saves ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"DataFrames, Data, or Messages"})," to various file formats."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"DataFrames, Data, or Messages"})," to the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's input.\nThe following example connects a ",(0,r.jsx)(t.strong,{children:"Webhook"})," component to two ",(0,r.jsx)(t.strong,{children:"Save to File"})," components to demonstrate the different outputs."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Two Save-to File components connected to a webhook",src:n(35073).A+"",width:"1458",height:"1732"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's ",(0,r.jsx)(t.strong,{children:"Input Type"})," field, select the expected input type.\nThis example expects ",(0,r.jsx)(t.strong,{children:"Data"})," from the ",(0,r.jsx)(t.strong,{children:"Webhook"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Format"})," field, select the file type for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:".md"})," in one ",(0,r.jsx)(t.strong,{children:"Save to File"})," component, and ",(0,r.jsx)(t.code,{children:".xlsx"})," in another."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Path"})," field, enter the path for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:"./output/employees.xlsx"})," and ",(0,r.jsx)(t.code,{children:"./output/employees.md"})," to save the files in a directory relative to where Langflow is running.\nThe component accepts both relative and absolute paths, and creates any necessary directories if they don't exist."]}),"\n"]}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsxs)(t.p,{children:["If you enter a format in the ",(0,r.jsx)(t.code,{children:"file_path"})," that is not accepted, the component appends the proper format to the file.\nFor example, if the selected ",(0,r.jsx)(t.code,{children:"file_format"})," is ",(0,r.jsx)(t.code,{children:"csv"}),", and you enter ",(0,r.jsx)(t.code,{children:"file_path"})," as ",(0,r.jsx)(t.code,{children:"./output/test.txt"}),", the file is saved as ",(0,r.jsx)(t.code,{children:"./output/test.txt.csv"})," so the file is not corrupted."]})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Send a POST request to the ",(0,r.jsx)(t.strong,{children:"Webhook"})," containing your JSON data.\nReplace ",(0,r.jsx)(t.code,{children:"YOUR_FLOW_ID"})," with your flow ID.\nThis example uses the default Langflow server address."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \\',props:{}}]},{tokens:[{content:"-H 'Content-Type: application/json' \\",props:{}}]},{tokens:[{content:"-H 'x-api-key: LANGFLOW_API_KEY' \\",props:{}}]},{tokens:[{content:"-d '{",props:{}}]},{tokens:[{content:'    "Name": ["Alex Cruz", "Kalani Smith", "Noam Johnson"],',props:{}}]},{tokens:[{content:'    "Role": ["Developer", "Designer", "Manager"],',props:{}}]},{tokens:[{content:'    "Department": ["Engineering", "Design", "Management"]',props:{}}]},{tokens:[{content:"}'",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"6",children:["\n",(0,r.jsxs)(t.li,{children:["In your local filesystem, open the ",(0,r.jsx)(t.code,{children:"outputs"})," directory.\nYou should see two files created from the data you've sent: one in ",(0,r.jsx)(t.code,{children:".xlsx"})," for structured spreadsheets, and one in Markdown."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"| Name         | Role      | Department   |",props:{}}]},{tokens:[{content:"|:-------------|:----------|:-------------|",props:{}}]},{tokens:[{content:"| Alex Cruz    | Developer | Engineering  |",props:{}}]},{tokens:[{content:"| Kalani Smith | Designer  | Design       |",props:{}}]},{tokens:[{content:"| Noam Johnson | Manager   | Management   |",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"file-input-format-options",children:"File input format options"}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"DataFrame"})," and ",(0,r.jsx)(t.code,{children:"Data"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"csv"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"excel"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"Message"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"txt"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_text"}),(0,r.jsx)(t.td,{children:"Input Text"}),(0,r.jsx)(t.td,{children:"The text to analyze and extract patterns from."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Regex Pattern"}),(0,r.jsx)(t.td,{children:"The regular expression pattern to match in the text."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_type"}),(0,r.jsx)(t.td,{children:"Input Type"}),(0,r.jsx)(t.td,{children:"The type of input to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The DataFrame to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The Data object to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"message"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The Message to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_format"}),(0,r.jsx)(t.td,{children:"File Format"}),(0,r.jsx)(t.td,{children:"The file format to save the input in."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_path"}),(0,r.jsx)(t.td,{children:"File Path"}),(0,r.jsx)(t.td,{children:"The full file path including filename and extension."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"A list of extracted matches as Data objects."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The extracted matches formatted as a Message object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"confirmation"}),(0,r.jsx)(t.td,{children:"Confirmation"}),(0,r.jsx)(t.td,{children:"The confirmation message after saving the file."})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"smart-function",children:"Smart function"}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsx)(t.p,{children:"Prior to Langflow 1.5, this component was named the Lambda filter."})}),"\n",(0,r.jsx)(t.p,{children:"This component uses an LLM to generate a function for filtering or transforming structured data."}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Smart function"})," component, you must connect it to a ",(0,r.jsx)(t.a,{href:"/components-models",children:"Language Model"})," component, which the component uses to generate a function based on the natural language instructions in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field."]}),"\n",(0,r.jsxs)(t.p,{children:["This example gets JSON data from the ",(0,r.jsx)(t.code,{children:"https://jsonplaceholder.typicode.com/users"})," API endpoint.\nThe ",(0,r.jsx)(t.strong,{children:"Instructions"})," field in the ",(0,r.jsx)(t.strong,{children:"Smart function"})," component specifies the task ",(0,r.jsx)(t.code,{children:"extract emails"}),".\nThe connected LLM creates a filter based on the instructions, and successfully extracts a list of email addresses from the JSON data."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Smart function connected to an LLM",src:n(66539).A+"",width:"4000",height:"1796"})}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The structured data to filter or transform using a Lambda function."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"llm"}),(0,r.jsx)(t.td,{children:"Language Model"}),(0,r.jsxs)(t.td,{children:["The connection port for a ",(0,r.jsx)(t.a,{href:"/components-models",children:"Model"})," component."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_instruction"}),(0,r.jsx)(t.td,{children:"Instructions"}),(0,r.jsxs)(t.td,{children:["The natural language instructions for how to filter or transform the data using a Lambda function, such as ",(0,r.jsx)(t.code,{children:"Filter the data to only include items where the 'status' is 'active'"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sample_size"}),(0,r.jsx)(t.td,{children:"Sample Size"}),(0,r.jsx)(t.td,{children:"For large datasets, the number of characters to sample from the dataset head and tail."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"max_size"}),(0,r.jsx)(t.td,{children:"Max Size"}),(0,r.jsxs)(t.td,{children:['The number of characters for the data to be considered "large", which triggers sampling by the ',(0,r.jsx)(t.code,{children:"sample_size"})," value."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filtered_data"}),(0,r.jsx)(t.td,{children:"Filtered Data"}),(0,r.jsxs)(t.td,{children:["The filtered or transformed ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data object"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsxs)(t.td,{children:["The filtered data as a ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"}),"."]})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"split-text",children:"Split Text"}),"\n",(0,r.jsx)(t.p,{children:"This component splits text into chunks based on specified criteria. It's ideal for chunking data to be tokenized and embedded into vector databases."}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Split Text"})," component outputs ",(0,r.jsx)(t.strong,{children:"Chunks"})," or ",(0,r.jsx)(t.strong,{children:"DataFrame"}),".\nThe ",(0,r.jsx)(t.strong,{children:"Chunks"})," output returns a list of individual text chunks.\nThe ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output returns a structured data format, with additional ",(0,r.jsx)(t.code,{children:"text"})," and ",(0,r.jsx)(t.code,{children:"metadata"})," columns applied."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data or DataFrame"})," to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"Data"})," port.\nThis example uses the ",(0,r.jsx)(t.strong,{children:"URL"})," component, which is fetching JSON placeholder data."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Split text component and chroma-db",src:n(49823).A+"",width:"4000",height:"2766"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component, define your data splitting parameters."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["This example splits incoming JSON data at the separator ",(0,r.jsx)(t.code,{children:"},"}),", so each chunk contains one JSON object."]}),"\n",(0,r.jsxs)(t.p,{children:["The order of precedence is ",(0,r.jsx)(t.strong,{children:"Separator"}),", then ",(0,r.jsx)(t.strong,{children:"Chunk Size"}),", and then ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"}),".\nIf any segment after separator splitting is longer than ",(0,r.jsx)(t.code,{children:"chunk_size"}),", it is split again to fit within ",(0,r.jsx)(t.code,{children:"chunk_size"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["After ",(0,r.jsx)(t.code,{children:"chunk_size"}),", ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"})," is applied between chunks to maintain context."]}),"\n",(0,r.jsxs)(t.ol,{start:"3",children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to view its output."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,r.jsx)(t.strong,{children:"Run Flow"}),".\nThe output contains a table of JSON objects split at ",(0,r.jsx)(t.code,{children:"},"}),"."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 1,',props:{}}]},{tokens:[{content:'"id": 1,',props:{}}]},{tokens:[{content:'"title": "Introduction to Artificial Intelligence",',props:{}}]},{tokens:[{content:'"body": "Learn the basics of Artificial Intelligence and its applications in various industries.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article1",',props:{}}]},{tokens:[{content:'"comment_count": 8',props:{}}]},{tokens:[{content:"},",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 2,',props:{}}]},{tokens:[{content:'"id": 2,',props:{}}]},{tokens:[{content:'"title": "Web Development with React",',props:{}}]},{tokens:[{content:'"body": "Build modern web applications using React.js and explore its powerful features.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article2",',props:{}}]},{tokens:[{content:'"comment_count": 12',props:{}}]},{tokens:[{content:"},",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Clear the ",(0,r.jsx)(t.strong,{children:"Separator"})," field, and then run the flow again.\nInstead of JSON objects, the output contains 50-character lines of text with 10 characters of overlap."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'First chunk:  "title": "Introduction to Artificial Intelligence""',props:{}}]},{tokens:[{content:'Second chunk: "elligence", "body": "Learn the basics of Artif"',props:{}}]},{tokens:[{content:'Third chunk:  "s of Artificial Intelligence and its applications"',props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_inputs"}),(0,r.jsx)(t.td,{children:"Input Documents"}),(0,r.jsxs)(t.td,{children:["The data to split. The component accepts ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"})," or ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_overlap"}),(0,r.jsx)(t.td,{children:"Chunk Overlap"}),(0,r.jsxs)(t.td,{children:["The number of characters to overlap between chunks. Default: ",(0,r.jsx)(t.code,{children:"200"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_size"}),(0,r.jsx)(t.td,{children:"Chunk Size"}),(0,r.jsxs)(t.td,{children:["The maximum number of characters in each chunk. Default: ",(0,r.jsx)(t.code,{children:"1000"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"separator"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsxs)(t.td,{children:["The character to split on. Default: ",(0,r.jsx)(t.code,{children:"newline"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsxs)(t.td,{children:["The key to use for the text column. Default: ",(0,r.jsx)(t.code,{children:"text"}),"."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunks"}),(0,r.jsx)(t.td,{children:"Chunks"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"})," objects."]})]})]})]})]}),"\n",(0,r.jsx)(t.h3,{id:"other-text-splitters",children:"Other text splitters"}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.a,{href:"/bundles-langchain#text-splitters",children:"LangChain text splitter components"})}),"\n"]}),"\n",(0,r.jsx)(t.h2,{id:"structured-output",children:"Structured output"}),"\n",(0,r.jsx)(t.p,{children:"This component transforms LLM responses into structured data formats."}),"\n",(0,r.jsxs)(t.p,{children:["In this example from the ",(0,r.jsx)(t.strong,{children:"Financial Support Parser"})," template, the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component transforms unstructured financial reports into structured data."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Structured output example",src:n(82798).A+"",width:"4000",height:"1724"})}),"\n",(0,r.jsxs)(t.p,{children:["The connected LLM model is prompted by the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.code,{children:"Format Instructions"})," parameter to extract structured output from the unstructured text. ",(0,r.jsx)(t.code,{children:"Format Instructions"})," is utilized as the system prompt for the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component."]}),"\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, click the ",(0,r.jsx)(t.strong,{children:"Open table"})," button to view the ",(0,r.jsx)(t.code,{children:"Output Schema"})," table.\nThe ",(0,r.jsx)(t.code,{children:"Output Schema"})," parameter defines the structure and data types for the model's output using a table with the following fields:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Name"}),": The name of the output field."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Description"}),": The purpose of the output field."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Type"}),": The data type of the output field. The available types are ",(0,r.jsx)(t.code,{children:"str"}),", ",(0,r.jsx)(t.code,{children:"int"}),", ",(0,r.jsx)(t.code,{children:"float"}),", ",(0,r.jsx)(t.code,{children:"bool"}),", ",(0,r.jsx)(t.code,{children:"list"}),", or ",(0,r.jsx)(t.code,{children:"dict"}),". The default is ",(0,r.jsx)(t.code,{children:"text"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Multiple"}),": This feature is deprecated. Currently, it is set to ",(0,r.jsx)(t.code,{children:"True"})," by default if you expect multiple values for a single field. For example, a ",(0,r.jsx)(t.code,{children:"list"})," of ",(0,r.jsx)(t.code,{children:"features"})," is set to ",(0,r.jsx)(t.code,{children:"True"})," to contain multiple values, such as ",(0,r.jsx)(t.code,{children:'["waterproof", "durable", "lightweight"]'}),". Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Parse DataFrame"})," component parses the structured output into a template for orderly presentation in chat output. The template receives the values from the ",(0,r.jsx)(t.code,{children:"output_schema"})," table with curly braces."]}),"\n",(0,r.jsxs)(t.p,{children:["For example, the template ",(0,r.jsx)(t.code,{children:"EBITDA: {EBITDA}  ,  Net Income: {NET_INCOME} , GROSS_PROFIT: {GROSS_PROFIT}"})," presents the extracted values in the ",(0,r.jsx)(t.strong,{children:"Playground"})," as ",(0,r.jsx)(t.code,{children:"EBITDA: 900 million , Net Income: 500 million , GROSS_PROFIT: 1.2 billion"}),"."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"llm"}),(0,r.jsx)(t.td,{children:"LanguageModel"}),(0,r.jsx)(t.td,{children:"The language model to use to generate the structured output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The input message to the language model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"system_prompt"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The instructions to the language model for formatting the output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"schema_name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The name for the output data schema."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output_schema"}),(0,r.jsx)(t.td,{children:"Table"}),(0,r.jsx)(t.td,{children:"The structure and data types for the model's output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"multiple"}),(0,r.jsx)(t.td,{children:"Boolean"}),(0,r.jsxs)(t.td,{children:["[Deprecated] Always set to ",(0,r.jsx)(t.code,{children:"True"}),"."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"structured_output"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The structured output is a Data object based on the defined schema."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"type-convert",children:"Type convert"}),"\n",(0,r.jsxs)(t.p,{children:["This component converts data types between different formats. It can transform data between ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"}),", ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"}),", and ",(0,r.jsx)(t.a,{href:"/data-types#message",children:"Message"})," objects."]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Data"}),": A structured object that contains both text and metadata."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "text"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"User Profile"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "data"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"John Smith"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "age"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"30",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"john@example.com"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"DataFrame"}),": A tabular data structure with rows and columns.\nKeys are columns, and each dictionary (a collection of key-value pairs) in the list is a row."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"[",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"John Smith"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "age"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"30",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"john@example.com"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  },",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Jane Doe"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "age"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"25",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"jane@example.com"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"]",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Message"}),": A string, such as",(0,r.jsx)(t.code,{children:'"Name: John Smith, Age: 30, Email: john@example.com"'}),"."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"To use this component in a flow, do the following:"}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Add the ",(0,r.jsx)(t.strong,{children:"Web search"})," component to the ",(0,r.jsx)(t.a,{href:"/basic-prompting",children:"Basic prompting"})," flow. In the ",(0,r.jsx)(t.strong,{children:"Search Query"})," field, enter a query, such as ",(0,r.jsx)(t.code,{children:"environmental news"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"Web search"})," component's output to a component that accepts the DataFrame input.\nThis example uses a ",(0,r.jsx)(t.strong,{children:"Prompt"})," component to give the chatbot context, so you must convert the ",(0,r.jsx)(t.strong,{children:"Web search"})," component's DataFrame output to a Message type."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Type Convert"})," component to convert the DataFrame to a Message."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Type Convert"})," component, in the ",(0,r.jsx)(t.strong,{children:"Output Type"})," field, select ",(0,r.jsx)(t.strong,{children:"Message"}),".\nYour flow looks like this:"]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Type convert web search output to chat",src:n(42547).A+"",width:"4000",height:"1826"})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Language Model"})," component, in the ",(0,r.jsx)(t.strong,{children:"OpenAI API Key"})," field, add your OpenAI API key."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then ask about ",(0,r.jsx)(t.code,{children:"latest news"}),"."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"The search results are returned to the Playground as a message."}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Latest news",props:{}}]},{tokens:[{content:"AI",props:{}}]},{tokens:[{content:"gpt-4o-mini",props:{}}]},{tokens:[{content:"Here are some of the latest news articles related to the environment:",props:{}}]},{tokens:[{content:"Ozone Pollution and Global Warming: A recent study highlights that ozone pollution is a significant global environmental concern, threatening human health and crop production while exacerbating global warming. Read more",props:{}}]},{tokens:[{content:"...",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Input Data"}),(0,r.jsx)(t.td,{children:"The data to convert. Accepts Data, DataFrame, or Message objects."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output_type"}),(0,r.jsx)(t.td,{children:"Output Type"}),(0,r.jsx)(t.td,{children:"The desired output type. Options: Data, DataFrame, or Message."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Output"}),(0,r.jsx)(t.td,{children:"The converted data in the specified format."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"legacy-processing-components",children:"Legacy processing components"}),"\n",(0,r.jsx)(t.p,{children:"The following processing components are legacy components.\nYou can still use them in your flows, but they are no longer supported and can be removed in a future release."}),"\n",(0,r.jsx)(t.p,{children:"Replace these components with suggested alternatives as soon as possible."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Alter Metadata"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component modifies metadata of input objects. It can add new metadata, update existing metadata, and remove specified metadata fields. The component works with both ",(0,r.jsx)(t.code,{children:"Message"})," and ",(0,r.jsx)(t.code,{children:"Data"})," objects, and can also create a new ",(0,r.jsx)(t.code,{children:"Data"})," object from user-provided text."]}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"Input"}),(0,r.jsx)(t.td,{children:"Input parameter. Objects to which Metadata should be added."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_in"}),(0,r.jsx)(t.td,{children:"User Text"}),(0,r.jsxs)(t.td,{children:["Input parameter. Text input; the value is contained in the 'text' attribute of the ",(0,r.jsx)(t.code,{children:"Data"})," object. Empty text entries are ignored."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"metadata"}),(0,r.jsx)(t.td,{children:"Metadata"}),(0,r.jsx)(t.td,{children:"Input parameter. Metadata to add to each object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_fields"}),(0,r.jsx)(t.td,{children:"Fields to Remove"}),(0,r.jsx)(t.td,{children:"Input parameter. Metadata fields to remove."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"Output parameter. List of Input objects, each with added metadata."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Combine Data/Merge Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]})," or the ",(0,r.jsxs)(t.a,{href:"/components-logic#loop",children:[(0,r.jsx)(t.strong,{children:"Loop"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component combines multiple data sources into a single unified ",(0,r.jsx)(t.code,{children:"Data"})," object."]}),(0,r.jsxs)(t.p,{children:["The component iterates through a list of ",(0,r.jsx)(t.code,{children:"Data"})," objects, merging them into a single ",(0,r.jsx)(t.code,{children:"Data"})," object (",(0,r.jsx)(t.code,{children:"merged_data"}),").\nIf the input list is empty, it returns an empty data object.\nIf there's only one input data object, it returns that object unchanged."]}),(0,r.jsx)(t.p,{children:"The merging process uses the addition operator to combine data objects."})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Combine Text"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component concatenates two text inputs into a single text chunk using a specified delimiter, outputting a ",(0,r.jsx)(t.code,{children:"Message"})," object with the combined text."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Create Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component dynamically creates a ",(0,r.jsx)(t.code,{children:"Data"})," object with a specified number of fields and a text key."]}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"number_of_fields"}),(0,r.jsx)(t.td,{children:"Number of Fields"}),(0,r.jsx)(t.td,{children:"Input parameter. The number of fields to be added to the record."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsx)(t.td,{children:"Input parameter. Key that identifies the field to be used as the text content."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key_validator"}),(0,r.jsx)(t.td,{children:"Text Key Validator"}),(0,r.jsxs)(t.td,{children:["Input parameter. If enabled, checks if the given ",(0,r.jsx)(t.code,{children:"Text Key"})," is present in the given ",(0,r.jsx)(t.code,{children:"Data"}),"."]})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Extract Key"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component extracts a specific key from a ",(0,r.jsx)(t.code,{children:"Data"})," object and returns the value associated with that key."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Data to DataFrame/Data to Message"}),(0,r.jsxs)(t.p,{children:["Replace these legacy components with newer processing components, such as the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]})," and ",(0,r.jsxs)(t.a,{href:"#type-convert",children:[(0,r.jsx)(t.strong,{children:"Type Convert"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["These components converted one or more ",(0,r.jsx)(t.code,{children:"Data"})," objects into a ",(0,r.jsx)(t.code,{children:"DataFrame"})," or ",(0,r.jsx)(t.code,{children:"Message"})," object."]}),(0,r.jsxs)(t.p,{children:["For the ",(0,r.jsx)(t.strong,{children:"Data to DataFrame"})," component, each ",(0,r.jsx)(t.code,{children:"Data"})," object corresponds to one row in the resulting ",(0,r.jsx)(t.code,{children:"DataFrame"}),".\nFields from the ",(0,r.jsx)(t.code,{children:".data"})," attribute become columns, and the ",(0,r.jsx)(t.code,{children:".text"})," field (if present) is placed in a ",(0,r.jsx)(t.code,{children:"text"})," column."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Filter Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component filters a ",(0,r.jsx)(t.code,{children:"Data"})," object based on a list of keys (",(0,r.jsx)(t.code,{children:"filter_criteria"}),"), returning a new ",(0,r.jsx)(t.code,{children:"Data"})," object (",(0,r.jsx)(t.code,{children:"filtered_data"}),") that contains only the key-value pairs that match the filter criteria."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Filter Values"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsx)(t.p,{children:"The Filter values component filters a list of data items based on a specified key, filter value, and comparison operator."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Input data"}),(0,r.jsx)(t.td,{children:"Input parameter. The list of data items to filter."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_key"}),(0,r.jsx)(t.td,{children:"Filter Key"}),(0,r.jsx)(t.td,{children:"Input parameter. The key to filter on."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_value"}),(0,r.jsx)(t.td,{children:"Filter Value"}),(0,r.jsx)(t.td,{children:"Input parameter. The value to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operator"}),(0,r.jsx)(t.td,{children:"Comparison Operator"}),(0,r.jsx)(t.td,{children:"Input parameter. The operator to apply for comparing the values."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filtered_data"}),(0,r.jsx)(t.td,{children:"Filtered data"}),(0,r.jsx)(t.td,{children:"Output parameter. The resulting list of filtered data items."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"JSON Cleaner"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsx)(t.p,{children:"This component cleans JSON strings to ensure they are fully compliant with the JSON specification."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"json_str"}),(0,r.jsx)(t.td,{children:"JSON String"}),(0,r.jsx)(t.td,{children:"Input parameter. The JSON string to be cleaned. This can be a raw, potentially malformed JSON string produced by language models or other sources that may not fully comply with JSON specifications."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_control_chars"}),(0,r.jsx)(t.td,{children:"Remove Control Characters"}),(0,r.jsx)(t.td,{children:"Input parameter. If set to True, this option removes control characters (ASCII characters 0-31 and 127) from the JSON string. This can help eliminate invisible characters that might cause parsing issues or make the JSON invalid."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"normalize_unicode"}),(0,r.jsx)(t.td,{children:"Normalize Unicode"}),(0,r.jsx)(t.td,{children:"Input parameter. When enabled, this option normalizes Unicode characters in the JSON string to their canonical composition form (NFC). This ensures consistent representation of Unicode characters across different systems and prevents potential issues with character encoding."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"validate_json"}),(0,r.jsx)(t.td,{children:"Validate JSON"}),(0,r.jsx)(t.td,{children:"Input parameter. If set to True, this option attempts to parse the JSON string to ensure it is well-formed before applying the final repair operation. It raises a ValueError if the JSON is invalid, allowing for early detection of major structural issues in the JSON."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Cleaned JSON String"}),(0,r.jsx)(t.td,{children:"Output parameter. The resulting cleaned, repaired, and validated JSON string that fully complies with the JSON specification."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Message to Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#type-convert",children:[(0,r.jsx)(t.strong,{children:"Type Convert"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component converts ",(0,r.jsx)(t.code,{children:"Message"})," objects to ",(0,r.jsx)(t.code,{children:"Data"})," objects."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parse DataFrame"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#dataframe-operations",children:[(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component"]})," or ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component converts ",(0,r.jsx)(t.code,{children:"DataFrame"})," objects into plain text using templates."]}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"Input parameter. The DataFrame to convert to text rows."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"template"}),(0,r.jsx)(t.td,{children:"Template"}),(0,r.jsxs)(t.td,{children:["Input parameter. Template for formatting (use ",(0,r.jsx)(t.code,{children:"{column_name}"})," placeholders)."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sep"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsx)(t.td,{children:"Input parameter. String to join rows in output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text"}),(0,r.jsx)(t.td,{children:"Text"}),(0,r.jsx)(t.td,{children:"Output parameter. All rows combined into single text."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parse JSON"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component converts and extracts JSON fields in ",(0,r.jsx)(t.code,{children:"Message"})," and ",(0,r.jsx)(t.code,{children:"Data"})," objects using JQ queries, then returns ",(0,r.jsx)(t.code,{children:"filtered_data"}),", which is a list of ",(0,r.jsx)(t.code,{children:"Data"})," objects."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Python REPL"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#python-interpreter",children:[(0,r.jsx)(t.strong,{children:"Python Interpreter"})," component"]})," or another processing or logic component."]}),(0,r.jsx)(t.p,{children:"This component creates a Python REPL (Read-Eval-Print Loop) tool for executing Python code."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsxs)(t.td,{children:["Input parameter. The name of the tool. Default: ",(0,r.jsx)(t.code,{children:"python_repl"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"description"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. A description of the tool's functionality."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"global_imports"}),(0,r.jsx)(t.td,{children:"List[String]"}),(0,r.jsxs)(t.td,{children:["Input parameter. A list of modules to import globally. Default: ",(0,r.jsx)(t.code,{children:"math"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool"}),(0,r.jsx)(t.td,{children:"Tool"}),(0,r.jsx)(t.td,{children:"Output parameter. A Python REPL tool for use in LangChain."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Python Code Structured"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#python-interpreter",children:[(0,r.jsx)(t.strong,{children:"Python Interpreter"})," component"]})," or another processing or logic component."]}),(0,r.jsx)(t.p,{children:"This component creates a structured tool from Python code using a dataclass."}),(0,r.jsx)(t.p,{children:"The component dynamically updates its configuration based on the provided Python code, allowing for custom function arguments and descriptions."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_code"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The Python code for the tool's dataclass."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The name of the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_description"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The description of the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"return_direct"}),(0,r.jsx)(t.td,{children:"Boolean"}),(0,r.jsx)(t.td,{children:"Input parameter. Whether to return the function output directly."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_function"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The selected function for the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"global_variables"}),(0,r.jsx)(t.td,{children:"Dict"}),(0,r.jsx)(t.td,{children:"Input parameter. Global variables or data for the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"result_tool"}),(0,r.jsx)(t.td,{children:"Tool"}),(0,r.jsx)(t.td,{children:"Output parameter. A structured tool created from the Python code."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Regex Extractor"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsx)(t.p,{children:"This component extracts patterns in text using regular expressions. It can be used to find and extract specific patterns or information in text."})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Select Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component selects a single ",(0,r.jsx)(t.code,{children:"Data"})," object from a list."]}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_list"}),(0,r.jsx)(t.td,{children:"Data List"}),(0,r.jsx)(t.td,{children:"Input parameter. 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The records to update."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"number_of_fields"}),(0,r.jsx)(t.td,{children:"Number of Fields"}),(0,r.jsx)(t.td,{children:"Input parameter. The number of fields to add. The maximum is 15."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsx)(t.td,{children:"Input parameter. The key for text content."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key_validator"}),(0,r.jsx)(t.td,{children:"Text Key Validator"}),(0,r.jsx)(t.td,{children:"Input parameter. Validates the text key presence."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"Output parameter. 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your LLMs and agents with the ",(0,r.jsxs)(t.a,{href:"#prompt-template",children:[(0,r.jsx)(t.strong,{children:"Prompt Template"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Extract content from larger chunks of data with a ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Filter data with natural language with the ",(0,r.jsxs)(t.a,{href:"#smart-function",children:[(0,r.jsx)(t.strong,{children:"Smart Function"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Save data to your local machine with the ",(0,r.jsxs)(t.a,{href:"#save-file",children:[(0,r.jsx)(t.strong,{children:"Save File"})," component"]}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Transform data into a different data type with the ",(0,r.jsxs)(t.a,{href:"#type-convert",children:[(0,r.jsx)(t.strong,{children:"Type Convert"})," component"]})," to pass it between incompatible components."]}),"\n"]}),"\n",(0,r.jsx)(t.h2,{id:"prompt-template",children:"Prompt Template"}),"\n",(0,r.jsxs)(t.p,{children:["See ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt Template"}),"."]}),"\n",(0,r.jsx)(t.h2,{id:"batch-run",children:"Batch Run"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component runs a language model over ",(0,r.jsx)(t.em,{children:"each row of one text column"})," in a ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:(0,r.jsx)(t.code,{children:"DataFrame"})}),", and then returns a new ",(0,r.jsx)(t.code,{children:"DataFrame"})," with the original text and an LLM response."]}),"\n",(0,r.jsx)(t.p,{children:"The response contains the following columns:"}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"text_input"}),": The original text from the input ",(0,r.jsx)(t.code,{children:"DataFrame"})]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"model_response"}),": The model's response for each input"]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"batch_index"}),": The 0-indexed processing order for all rows in the ",(0,r.jsx)(t.code,{children:"DataFrame"})]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"metadata"})," (optional): Additional information about the processing"]}),"\n"]}),"\n",(0,r.jsx)(t.h3,{id:"use-the-batch-run-component-in-a-flow",children:"Use the Batch Run component in a flow"}),"\n",(0,r.jsxs)(t.p,{children:["If you pass this output to a ",(0,r.jsxs)(t.a,{href:"/components-processing#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),", you can use variables in the parsing template to reference these keys, such as ",(0,r.jsx)(t.code,{children:"{text_input}"})," and ",(0,r.jsx)(t.code,{children:"{model_response}"}),".\nThis is demonstrated in the following example."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A batch run component connected to OpenAI and a Parser",src:n(88103).A+"",width:"4000",height:"2728"})}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Language Model"})," component to a ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component's ",(0,r.jsx)(t.strong,{children:"Language model"})," port."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect ",(0,r.jsx)(t.code,{children:"DataFrame"})," output from another component to the ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input.\nFor example, you could connect a ",(0,r.jsx)(t.strong,{children:"File"})," component with a CSV file."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component's ",(0,r.jsx)(t.strong,{children:"Column Name"})," field, enter the name of the column in the incoming ",(0,r.jsx)(t.code,{children:"DataFrame"})," that contains the text to process.\nFor example, if you want to extract text from a ",(0,r.jsx)(t.code,{children:"name"})," column in a CSV file, enter ",(0,r.jsx)(t.code,{children:"name"})," in the ",(0,r.jsx)(t.strong,{children:"Column Name"})," field."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component's ",(0,r.jsx)(t.strong,{children:"Batch Results"})," output to a ",(0,r.jsx)(t.strong,{children:"Parser"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Optional: In the ",(0,r.jsx)(t.strong,{children:"Batch Run"})," ",(0,r.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", click ",(0,r.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Controls"}),", enable the ",(0,r.jsx)(t.strong,{children:"System Message"})," parameter, click ",(0,r.jsx)(t.strong,{children:"Close"}),", and then enter an instruction for how you want the LLM to process each cell extracted from the file.\nFor example, ",(0,r.jsx)(t.code,{children:"Create a business card for each name."})]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Parser"})," component's ",(0,r.jsx)(t.strong,{children:"Template"})," field, enter a template for processing the ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component's new ",(0,r.jsx)(t.code,{children:"DataFrame"})," columns (",(0,r.jsx)(t.code,{children:"text_input"}),", ",(0,r.jsx)(t.code,{children:"model_response"}),", and ",(0,r.jsx)(t.code,{children:"batch_index"}),"):"]}),"\n",(0,r.jsxs)(t.p,{children:["For example, this template uses three columns from the resulting, post-batch ",(0,r.jsx)(t.code,{children:"DataFrame"}),":"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"record_number: {batch_index}, name: {text_input}, summary: {model_response}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["To test the processing, click the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, and then click ",(0,r.jsx)(c.A,{name:"Play","aria-hidden":"True"})," ",(0,r.jsx)(t.strong,{children:"Run component"}),", and then click ",(0,r.jsx)(c.A,{name:"TextSearch","aria-hidden":"True"})," ",(0,r.jsx)(t.strong,{children:"Inspect output"})," to view the final ",(0,r.jsx)(t.code,{children:"DataFrame"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["You can also connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the ",(0,r.jsx)(t.strong,{children:"Parser"})," component if you want to see the output in the ",(0,r.jsx)(t.strong,{children:"Playground"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(t.h3,{id:"batch-run-parameters",children:"Batch Run parameters"}),"\n",(0,r.jsxs)(t.p,{children:["Some ",(0,r.jsx)(t.strong,{children:"Batch Run"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Controls"})," in the ",(0,r.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"model"}),(0,r.jsx)(t.td,{children:"HandleInput"}),(0,r.jsx)(t.td,{children:"Input parameter. Connect the 'Language Model' output from your LLM component here. Required."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"system_message"}),(0,r.jsx)(t.td,{children:"MultilineInput"}),(0,r.jsx)(t.td,{children:"Input parameter. A multi-line system instruction for all rows in the DataFrame."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrameInput"}),(0,r.jsx)(t.td,{children:"Input parameter. The DataFrame whose column is treated as text messages, as specified by 'column_name'. Required."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"MessageTextInput"}),(0,r.jsx)(t.td,{children:"Input parameter. The name of the DataFrame column to treat as text messages. If empty, all columns are formatted in TOML."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output_column_name"}),(0,r.jsx)(t.td,{children:"MessageTextInput"}),(0,r.jsxs)(t.td,{children:["Input parameter. Name of the column where the model's response is stored. Default=",(0,r.jsx)(t.code,{children:"model_response"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"enable_metadata"}),(0,r.jsx)(t.td,{children:"BoolInput"}),(0,r.jsx)(t.td,{children:"Input parameter. If True, add metadata to the output DataFrame."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"batch_results"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"Output parameter. A DataFrame with all original columns plus the model's response column."})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"data-operations",children:"Data Operations"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component performs operations on ",(0,r.jsx)(t.a,{href:"/data-types#data",children:(0,r.jsx)(t.code,{children:"Data"})})," objects, including selecting keys, evaluating literals, combining data, filtering values, appending/updating data, removing keys, and renaming keys."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component in a flow, you must connect its ",(0,r.jsx)(t.strong,{children:"Data"})," input port to the output port of a component that outputs ",(0,r.jsx)(t.code,{children:"Data"}),".\nAll operations in the ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component require at least one ",(0,r.jsx)(t.code,{children:"Data"})," input."]}),"\n",(0,r.jsxs)(t.p,{children:["For this example, add a ",(0,r.jsx)(t.strong,{children:"Webhook"})," component to the flow, and then connect it to a ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component. Assume you'll send requests to the webhook with a consistent payload that has ",(0,r.jsx)(t.code,{children:"name"}),", ",(0,r.jsx)(t.code,{children:"username"}),", and ",(0,r.jsx)(t.code,{children:"email"})," keys."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Operations"})," field, select the operation you want to perform on the incoming ",(0,r.jsx)(t.code,{children:"Data"}),".\nFor this example, select the ",(0,r.jsx)(t.strong,{children:"Select Keys"})," operation to extract specific user information."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Add keys for ",(0,r.jsx)(t.code,{children:"name"}),", ",(0,r.jsx)(t.code,{children:"username"}),", and ",(0,r.jsx)(t.code,{children:"email"})," to select those values from the incoming request payload."]}),"\n",(0,r.jsxs)(t.p,{children:["To add additional keys, click ",(0,r.jsx)(c.A,{name:"Plus","aria-hidden":"True"})," ",(0,r.jsx)(t.strong,{children:"Add more"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A flow with Webhook, Data Operations, and Chat Output components",src:n(46445).A+"",width:"4000",height:"1920"})}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["To test the flow, send the following request to your flow's webhook endpoint, and then open the ",(0,r.jsx)(t.strong,{children:"Playground"})," to see the resulting output from processing the payload."]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:'POST "http://',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_SERVER_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/webhook/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-H ",props:{style:{color:"#C9D1D9"}}},{content:'"Content-Type: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-H ",props:{style:{color:"#C9D1D9"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"-d ",props:{style:{color:"#C9D1D9"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "id": 1,',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "name": "Leanne Graham",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "username": "Bret",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "email": "Sincere@april.biz",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "address": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "street": "Main Street",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "suite": "Apt. 556",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "city": "Springfield",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "zipcode": "92998-3874",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "geo": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "lat": "-37.3159",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "lng": "81.1496"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  },",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "phone": "1-770-736-8031 x56442",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "website": "hildegard.org",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'  "company": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "name": "Acme-Corp",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "catchPhrase": "Multi-layered client-server neural-net",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "bs": "harness real-time e-markets"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(t.h3,{id:"data-operations-parameters",children:"Data Operations parameters"}),"\n",(0,r.jsxs)(t.p,{children:["Some ",(0,r.jsx)(t.strong,{children:"Data Operations"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Controls"})," in the ",(0,r.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsxs)(t.td,{children:["Input parameter. The ",(0,r.jsx)(t.code,{children:"Data"})," object to operate on."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operations"}),(0,r.jsx)(t.td,{children:"Operations"}),(0,r.jsxs)(t.td,{children:["Input parameter. The operation to perform on the data. See ",(0,r.jsx)(t.a,{href:"#data-operations-operations",children:"Data Operations operations"})]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"select_keys_input"}),(0,r.jsx)(t.td,{children:"Select Keys"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of keys to select from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_key"}),(0,r.jsx)(t.td,{children:"Filter Key"}),(0,r.jsx)(t.td,{children:"Input parameter. The key to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operator"}),(0,r.jsx)(t.td,{children:"Comparison Operator"}),(0,r.jsx)(t.td,{children:"Input parameter. The operator to apply for comparing values."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_values"}),(0,r.jsx)(t.td,{children:"Filter Values"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of values to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"append_update_data"}),(0,r.jsx)(t.td,{children:"Append or Update"}),(0,r.jsx)(t.td,{children:"Input parameter. The data to append or update the existing data with."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_keys_input"}),(0,r.jsx)(t.td,{children:"Remove Keys"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of keys to remove from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"rename_keys_input"}),(0,r.jsx)(t.td,{children:"Rename Keys"}),(0,r.jsx)(t.td,{children:"Input parameter. A list of keys to rename in the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_output"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"Output parameter. The resulting Data object after the operation."})]})]})]}),"\n",(0,r.jsx)(t.h3,{id:"data-operations-operations",children:"Data Operations operations"}),"\n",(0,r.jsxs)(t.p,{children:["Options for the ",(0,r.jsx)(t.code,{children:"operations"})," input parameter are as follows.\nAll operations act on an incoming ",(0,r.jsx)(t.code,{children:"Data"})," object."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Required Inputs"}),(0,r.jsx)(t.th,{children:"Process"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Select Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"select_keys_input"})}),(0,r.jsx)(t.td,{children:"Selects specific keys from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Literal Eval"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Evaluates string values as Python literals."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Combine"}),(0,r.jsx)(t.td,{children:"None"}),(0,r.jsx)(t.td,{children:"Combines multiple data objects into one."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Filter Values"}),(0,r.jsxs)(t.td,{children:[(0,r.jsx)(t.code,{children:"filter_key"}),", ",(0,r.jsx)(t.code,{children:"filter_values"}),", ",(0,r.jsx)(t.code,{children:"operator"})]}),(0,r.jsx)(t.td,{children:"Filters data based on key-value pair."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Append or Update"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"append_update_data"})}),(0,r.jsx)(t.td,{children:"Adds or updates key-value pairs."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Remove Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"remove_keys_input"})}),(0,r.jsx)(t.td,{children:"Removes specified keys from the data."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Rename Keys"}),(0,r.jsx)(t.td,{children:(0,r.jsx)(t.code,{children:"rename_keys_input"})}),(0,r.jsx)(t.td,{children:"Renames keys in the data."})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"dataframe-operations",children:"DataFrame operations"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"DataFrame"})," component performs operations on ",(0,r.jsx)(t.a,{href:"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",children:(0,r.jsx)(t.code,{children:"DataFrame"})})," rows and columns."]}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component in a flow, you must connect its ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input port to the output port of a component that outputs ",(0,r.jsx)(t.code,{children:"DataFrame"}),".\nAll operations in the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component require at least one ",(0,r.jsx)(t.code,{children:"DataFrame"})," input."]}),"\n",(0,r.jsxs)(t.p,{children:["The following example fetches JSON data from an API. The ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," component extracts and flattens the results into a tabular ",(0,r.jsx)(t.code,{children:"DataFrame"})," that is then processed through the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A flow that ingests an API response, extracts it to a DataFrame with a Smart Filter component, and the processes it through a DataFrame Operations component",src:n(13533).A+"",width:"4000",height:"2120"})}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["The ",(0,r.jsx)(t.strong,{children:"API Request"})," component retrieves data with only ",(0,r.jsx)(t.code,{children:"source"})," and ",(0,r.jsx)(t.code,{children:"result"})," fields.\nFor this example, the desired data is nested within the ",(0,r.jsx)(t.code,{children:"result"})," field."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," to the API request component, and a ",(0,r.jsx)(t.strong,{children:"Language model"})," to the ",(0,r.jsx)(t.strong,{children:"Smart Filter"}),". This example connects a ",(0,r.jsx)(t.strong,{children:"Groq"})," model component."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Groq"})," model component, add your ",(0,r.jsx)(t.strong,{children:"Groq"})," API key."]}),"\n",(0,r.jsxs)(t.li,{children:["To filter the data, in the ",(0,r.jsx)(t.strong,{children:"Smart filter"})," component, in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field, use natural language to describe how the data should be filtered.\nFor this example, enter:"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I want to explode the result column out into a Data object",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsxs)(t.p,{children:["Avoid punctuation in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field, as it can cause errors."]})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["To run the flow, in the ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," component, click ",(0,r.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Run component"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To inspect the filtered data, in the ",(0,r.jsx)(t.strong,{children:"Smart Filter"})," component, click ",(0,r.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Inspect output"}),".\nThe result is a structured DataFrame."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"id | name             | company               | username        | email                              | address           | zip",props:{}}]},{tokens:[{content:"---|------------------|----------------------|-----------------|------------------------------------|-------------------|-------",props:{}}]},{tokens:[{content:"1  | Emily Johnson    | ABC Corporation      | emily_johnson   | emily.johnson@abccorporation.com   | 123 Main St       | 12345",props:{}}]},{tokens:[{content:"2  | Michael Williams | XYZ Corp             | michael_williams| michael.williams@xyzcorp.com       | 456 Elm Ave       | 67890",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"7",children:["\n",(0,r.jsxs)(t.li,{children:["Add the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component, and a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the flow."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component, in the ",(0,r.jsx)(t.strong,{children:"Operation"})," field, select ",(0,r.jsx)(t.strong,{children:"Filter"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To apply a filter, in the ",(0,r.jsx)(t.strong,{children:"Column Name"})," field, enter a column to filter on. This example filters by ",(0,r.jsx)(t.code,{children:"name"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,r.jsx)(t.strong,{children:"Run Flow"}),".\nThe flow extracts the values from the ",(0,r.jsx)(t.code,{children:"name"})," column."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"name",props:{}}]},{tokens:[{content:"Emily Johnson",props:{}}]},{tokens:[{content:"Michael Williams",props:{}}]},{tokens:[{content:"John Smith",props:{}}]},{tokens:[{content:"...",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"operations",children:"Operations"}),"\n",(0,r.jsxs)(t.p,{children:["This component can perform the following operations on Pandas ",(0,r.jsx)(t.a,{href:"https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html",children:"DataFrame"}),"."]}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Operation"}),(0,r.jsx)(t.th,{children:"Required Inputs"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Add Column"}),(0,r.jsx)(t.td,{children:"new_column_name, new_column_value"}),(0,r.jsx)(t.td,{children:"Adds a new column with a constant value."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Drop Column"}),(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"Removes a specified column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Filter"}),(0,r.jsx)(t.td,{children:"column_name, filter_value"}),(0,r.jsx)(t.td,{children:"Filters rows based on column value."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Head"}),(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsxs)(t.td,{children:["Returns first ",(0,r.jsx)(t.code,{children:"n"})," rows."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Rename Column"}),(0,r.jsx)(t.td,{children:"column_name, new_column_name"}),(0,r.jsx)(t.td,{children:"Renames an existing column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Replace Value"}),(0,r.jsx)(t.td,{children:"column_name, replace_value, replacement_value"}),(0,r.jsx)(t.td,{children:"Replaces values in a column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Select Columns"}),(0,r.jsx)(t.td,{children:"columns_to_select"}),(0,r.jsx)(t.td,{children:"Selects specific columns."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Sort"}),(0,r.jsx)(t.td,{children:"column_name, ascending"}),(0,r.jsx)(t.td,{children:"Sorts DataFrame by column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"Tail"}),(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsxs)(t.td,{children:["Returns last ",(0,r.jsx)(t.code,{children:"n"})," rows."]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The input DataFrame to operate on."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operation"}),(0,r.jsx)(t.td,{children:"Operation"}),(0,r.jsx)(t.td,{children:"The DataFrame operation to perform. Options include Add Column, Drop Column, Filter, Head, Rename Column, Replace Value, Select Columns, Sort, and Tail."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"column_name"}),(0,r.jsx)(t.td,{children:"Column Name"}),(0,r.jsx)(t.td,{children:"The column name to use for the operation."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_value"}),(0,r.jsx)(t.td,{children:"Filter Value"}),(0,r.jsx)(t.td,{children:"The value to filter rows by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"ascending"}),(0,r.jsx)(t.td,{children:"Sort Ascending"}),(0,r.jsx)(t.td,{children:"Whether to sort in ascending order."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_name"}),(0,r.jsx)(t.td,{children:"New Column Name"}),(0,r.jsx)(t.td,{children:"The new column name when renaming or adding a column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"new_column_value"}),(0,r.jsx)(t.td,{children:"New Column Value"}),(0,r.jsx)(t.td,{children:"The value to populate the new column with."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"columns_to_select"}),(0,r.jsx)(t.td,{children:"Columns to Select"}),(0,r.jsx)(t.td,{children:"A list of column names to select."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"num_rows"}),(0,r.jsx)(t.td,{children:"Number of Rows"}),(0,r.jsx)(t.td,{children:"The number of rows to return for head/tail operations. The default is 5."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replace_value"}),(0,r.jsx)(t.td,{children:"Value to Replace"}),(0,r.jsx)(t.td,{children:"The value to replace in the column."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"replacement_value"}),(0,r.jsx)(t.td,{children:"Replacement Value"}),(0,r.jsx)(t.td,{children:"The value to replace with."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The resulting DataFrame after the operation."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"llm-router",children:"LLM router"}),"\n",(0,r.jsxs)(t.p,{children:["This component routes requests to the most appropriate LLM based on ",(0,r.jsx)(t.a,{href:"https://openrouter.ai/docs/quickstart",children:"OpenRouter"})," model specifications."]}),"\n",(0,r.jsx)(t.p,{children:"The judge LLM analyzed your input message to understand the evaluation context, and then selects the most appropriate model from your LLM pool."}),"\n",(0,r.jsx)(t.p,{children:"The selected model processes your input and returns the response."}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"LLM Router"})," component in a flow, do the following:"]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect multiple ",(0,r.jsx)(t.strong,{children:"Language Model"})," components to the ",(0,r.jsx)(t.strong,{children:"LLM Router"}),"'s ",(0,r.jsx)(t.strong,{children:"Language Models"})," input."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Judge LLM"})," component to the ",(0,r.jsx)(t.strong,{children:"Judge LLM"})," input."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Connect ",(0,r.jsx)(t.strong,{children:"Chat Input"})," and ",(0,r.jsx)(t.strong,{children:"Chat Output"})," components to the ",(0,r.jsx)(t.strong,{children:"LLM Router"}),".\nThe flow looks like this:"]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"LLM router component",src:n(9898).A+"",width:"3316",height:"2492"})}),"\n",(0,r.jsxs)(t.ol,{start:"4",children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the LLM Router component, set your ",(0,r.jsx)(t.strong,{children:"Optimization"})," preference:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Quality"}),": Prioritizes the highest quality response."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Speed"}),": Prioritizes the fastest response time."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Cost"}),": Prioritizes the most cost-effective option."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Balanced"}),": Strikes a balance between quality, speed, and cost."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Run the flow.\nYour input is the task that the LLM router evaluates the models against, such as ",(0,r.jsx)(t.code,{children:"Write a story about horses"})," or ",(0,r.jsx)(t.code,{children:"How do I parse data objects out of JSON?"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["In the LLM Router component, select the ",(0,r.jsx)(t.strong,{children:"Model Selection Decision"})," output to view the router's reasoning."]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Model Selection Decision:",props:{}}]},{tokens:[{content:"- Selected Model Index: 0",props:{}}]},{tokens:[{content:"- Selected Langflow Model Name: gpt-4o-mini",props:{}}]},{tokens:[{content:"- Selected API Model ID (if resolved): openai/gpt-4o-mini",props:{}}]},{tokens:[{content:"- Optimization Preference: cost",props:{}}]},{tokens:[{content:"- Input Query Length: 27 characters (~5 tokens)",props:{}}]},{tokens:[{content:"- Number of Models Considered: 2",props:{}}]},{tokens:[{content:"- Specifications Source: OpenRouter API",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"models"}),(0,r.jsx)(t.td,{children:"Language Models"}),(0,r.jsx)(t.td,{children:"A list of LLMs to route between."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"Input"}),(0,r.jsx)(t.td,{children:"The input message to be routed."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"judge_llm"}),(0,r.jsx)(t.td,{children:"Judge LLM"}),(0,r.jsx)(t.td,{children:"The LLM that evaluates and selects the most appropriate model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"optimization"}),(0,r.jsx)(t.td,{children:"Optimization"}),(0,r.jsx)(t.td,{children:"The optimization preference between quality, speed, cost, or balanced."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Output"}),(0,r.jsx)(t.td,{children:"The response from the selected model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"selected_model"}),(0,r.jsx)(t.td,{children:"Selected Model"}),(0,r.jsx)(t.td,{children:"The name of the chosen model."})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"parser",children:"Parser"}),"\n",(0,r.jsxs)(t.p,{children:["This component formats ",(0,r.jsx)(t.code,{children:"DataFrame"})," or ",(0,r.jsx)(t.code,{children:"Data"})," objects into text using templates, with an option to convert inputs directly to strings using ",(0,r.jsx)(t.code,{children:"stringify"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use this component, create variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component. For ",(0,r.jsx)(t.code,{children:"DataFrames"}),", use column names, for example ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For ",(0,r.jsx)(t.code,{children:"Data"})," objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Parser"})," component with a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, do the following:"]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to the ",(0,r.jsx)(t.strong,{children:"Parser"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"File"})," component to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Message"})," input."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"OpenAI"})," model component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," output to the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.strong,{children:"Language Model"})," input."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"The flow looks like this:"}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"A parser component connected to OpenAI and structured output",src:n(96218).A+"",width:"4000",height:"2202"})}),"\n",(0,r.jsxs)(t.ol,{start:"4",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, click ",(0,r.jsx)(t.strong,{children:"Open Table"}),".\nThis opens a pane for structuring your table.\nThe table contains the rows ",(0,r.jsx)(t.strong,{children:"Name"}),", ",(0,r.jsx)(t.strong,{children:"Description"}),", ",(0,r.jsx)(t.strong,{children:"Type"}),", and ",(0,r.jsx)(t.strong,{children:"Multiple"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Create a table that maps to the data you're loading from the ",(0,r.jsx)(t.strong,{children:"File"})," loader.\nFor example, to create a table for employees, you might have the rows ",(0,r.jsx)(t.code,{children:"id"}),", ",(0,r.jsx)(t.code,{children:"name"}),", and ",(0,r.jsx)(t.code,{children:"email"}),", all of type ",(0,r.jsx)(t.code,{children:"string"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Template"})," field of the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, enter a template for parsing the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's DataFrame output into structured text.\nCreate variables for values in the ",(0,r.jsx)(t.code,{children:"template"})," the same way you would in a ",(0,r.jsx)(t.a,{href:"/components-prompts",children:"Prompt"})," component.\nFor example, to present a table of employees in Markdown:"]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Employee Profile",props:{}}]},{tokens:[{content:"## Personal Information",props:{}}]},{tokens:[{content:"- **Name:** {name}",props:{}}]},{tokens:[{content:"- **ID:** {id}",props:{}}]},{tokens:[{content:"- **Email:** {email}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"7",children:["\n",(0,r.jsxs)(t.li,{children:["To run the flow, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Run component"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["To view your parsed text, in the ",(0,r.jsx)(t.strong,{children:"Parser"})," component, click ",(0,r.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,r.jsx)(t.strong,{children:"Inspect output"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Optionally, connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component, and open the ",(0,r.jsx)(t.strong,{children:"Playground"})," to see the output."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For an additional example of using the ",(0,r.jsx)(t.strong,{children:"Parser"})," component to format a DataFrame from a ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, see the ",(0,r.jsx)(t.strong,{children:"Market Research"})," template flow."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"mode"}),(0,r.jsx)(t.td,{children:"Mode"}),(0,r.jsx)(t.td,{children:'The tab selection between "Parser" and "Stringify" modes. "Stringify" converts input to a string instead of using a template.'})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Template"}),(0,r.jsxs)(t.td,{children:["The template for formatting using variables in curly brackets. For DataFrames, use column names, such as ",(0,r.jsx)(t.code,{children:"Name: {Name}"}),". For Data objects, use ",(0,r.jsx)(t.code,{children:"{text}"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Data or DataFrame"}),(0,r.jsx)(t.td,{children:"The input to parse. Accepts either a DataFrame or Data object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sep"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsx)(t.td,{children:"The string used to separate rows or items. The default is a newline."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"clean_data"}),(0,r.jsx)(t.td,{children:"Clean Data"}),(0,r.jsx)(t.td,{children:"When stringify is enabled, this option cleans data by removing empty rows and lines."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"parsed_text"}),(0,r.jsx)(t.td,{children:"Parsed Text"}),(0,r.jsxs)(t.td,{children:["The resulting formatted text as a ",(0,r.jsx)(t.a,{href:"/data-types#message",children:"Message"})," object."]})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"python-interpreter",children:"Python Interpreter"}),"\n",(0,r.jsx)(t.p,{children:"This component allows you to execute Python code with imported packages."}),"\n",(0,r.jsx)(t.h3,{id:"use-the-python-interpreter-in-a-flow",children:"Use the Python Interpreter in a flow"}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow,in the ",(0,r.jsx)(t.strong,{children:"Global Imports"})," field, add the packages you want to import as a comma-separated list, such as ",(0,r.jsx)(t.code,{children:"math,pandas"}),".\nAt least one import is required."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Python Code"})," field, enter the Python code you want to execute. Use ",(0,r.jsx)(t.code,{children:"print()"})," to see the output."]}),"\n",(0,r.jsxs)(t.li,{children:["Optionally, enable ",(0,r.jsx)(t.strong,{children:"Tool Mode"})," and connect the interpreter to an ",(0,r.jsx)(t.strong,{children:"Agent"})," as a tool.\nFor example, connect a ",(0,r.jsx)(t.strong,{children:"Python Interpreter"})," and a ",(0,r.jsx)(t.a,{href:"/components-helpers#calculator",children:"Calculator"})," as tools for an Agent, and test how it chooses different tools to solve math problems.\nThe flow looks like this:\n",(0,r.jsx)(t.img,{alt:"Python Interpreter and calculator connected to Agent",src:n(99e3).A+"",width:"3988",height:"2928"})]}),"\n",(0,r.jsxs)(t.li,{children:["Ask the agent an easier math question.\nThe ",(0,r.jsx)(t.strong,{children:"Calculator"})," tool can add, subtract, multiple, divide, or perform exponentiation.\nThe agent executes the ",(0,r.jsx)(t.code,{children:"evaluate_expression"})," tool to correctly answer the question."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Executed evaluate_expression",props:{}}]},{tokens:[{content:"Input:",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'  "expression": "2+5"',props:{}}]},{tokens:[{content:"}",props:{}}]},{tokens:[{content:"Output:",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'  "result": "7"',props:{}}]},{tokens:[{content:"}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Give the agent complete Python code.\nThis example creates a Pandas DataFrame table with the imported ",(0,r.jsx)(t.code,{children:"pandas"})," packages, and returns the square root of the mean squares."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" pandas ",props:{style:{color:"#C9D1D9"}}},{content:"as",props:{style:{color:"#FF7B72"}}},{content:" pd",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" math",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Create a simple DataFrame",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"df ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" pd.DataFrame({",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    'numbers'",props:{style:{color:"#A5D6FF"}}},{content:": [",props:{style:{color:"#C9D1D9"}}},{content:"1",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"2",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"3",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"4",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"5",props:{style:{color:"#79C0FF"}}},{content:"],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    'squares'",props:{style:{color:"#A5D6FF"}}},{content:": [x",props:{style:{color:"#C9D1D9"}}},{content:"**",props:{style:{color:"#FF7B72"}}},{content:"2 ",props:{style:{color:"#79C0FF"}}},{content:"for",props:{style:{color:"#FF7B72"}}},{content:" x ",props:{style:{color:"#C9D1D9"}}},{content:"in ",props:{style:{color:"#FF7B72"}}},{content:"range",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"1",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"6",props:{style:{color:"#79C0FF"}}},{content:")]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"})",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Calculate the square root of the mean",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"result ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" math.sqrt(df[",props:{style:{color:"#C9D1D9"}}},{content:"'squares'",props:{style:{color:"#A5D6FF"}}},{content:"].mean())",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"print",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"f",props:{style:{color:"#FF7B72"}}},{content:'"Square root of mean squares: ',props:{style:{color:"#A5D6FF"}}},{content:"{",props:{style:{color:"#79C0FF"}}},{content:"result",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,r.jsxs)(t.p,{children:["The Agent correctly chooses the ",(0,r.jsx)(t.code,{children:"run_python_repl"})," tool to solve the problem."]}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Executed run_python_repl",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Input:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:"  \"python_code\": \"import pandas as pd\\nimport math\\n\\n# Create a simple DataFrame\\ndf = pd.DataFrame({\\n    'numbers': [1, 2, 3, 4, 5],\\n    'squares': [x**2 for x in range(1, 6)]\\n})\\n\\n# Calculate the square root of the mean\\nresult = math.sqrt(df['squares'].mean())\\nprint(f\\\"Square root of mean squares: {result}\\\")\"",props:{}}]},{tokens:[{content:"}",props:{}}]},{tokens:[{content:"Output:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'  "result": "Square root of mean squares: 3.3166247903554"',props:{}}]},{tokens:[{content:"}",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.p,{children:["If you don't include the package imports in the chat, the Agent can still create the table using ",(0,r.jsx)(t.code,{children:"pd.DataFrame"}),", because the ",(0,r.jsx)(t.code,{children:"pandas"})," package is imported globally by the Python interpreter component in the ",(0,r.jsx)(t.strong,{children:"Global Imports"})," field."]}),"\n",(0,r.jsx)(t.h3,{id:"python-interpreter-parameters",children:"Python Interpreter parameters"}),"\n",(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"global_imports"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsxs)(t.td,{children:["Input parameter. A comma-separated list of modules to import globally, such as ",(0,r.jsx)(t.code,{children:"math,pandas,numpy"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"python_code"}),(0,r.jsx)(t.td,{children:"Code"}),(0,r.jsx)(t.td,{children:"Input parameter. The Python code to execute. Only modules specified in Global Imports can be used."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"results"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"Output parameter. The output of the executed Python code, including any printed results or errors."})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"save-file",children:"Save file"}),"\n",(0,r.jsxs)(t.p,{children:["This component saves ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"DataFrames, Data, or Messages"})," to various file formats."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"DataFrames, Data, or Messages"})," to the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's input.\nThe following example connects a ",(0,r.jsx)(t.strong,{children:"Webhook"})," component to two ",(0,r.jsx)(t.strong,{children:"Save to File"})," components to demonstrate the different outputs."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Two Save-to File components connected to a webhook",src:n(35073).A+"",width:"1458",height:"1732"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Save to File"})," component's ",(0,r.jsx)(t.strong,{children:"Input Type"})," field, select the expected input type.\nThis example expects ",(0,r.jsx)(t.strong,{children:"Data"})," from the ",(0,r.jsx)(t.strong,{children:"Webhook"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Format"})," field, select the file type for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:".md"})," in one ",(0,r.jsx)(t.strong,{children:"Save to File"})," component, and ",(0,r.jsx)(t.code,{children:".xlsx"})," in another."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"File Path"})," field, enter the path for your saved file.\nThis example uses ",(0,r.jsx)(t.code,{children:"./output/employees.xlsx"})," and ",(0,r.jsx)(t.code,{children:"./output/employees.md"})," to save the files in a directory relative to where Langflow is running.\nThe component accepts both relative and absolute paths, and creates any necessary directories if they don't exist."]}),"\n"]}),"\n",(0,r.jsx)(t.admonition,{type:"tip",children:(0,r.jsxs)(t.p,{children:["If you enter a format in the ",(0,r.jsx)(t.code,{children:"file_path"})," that is not accepted, the component appends the proper format to the file.\nFor example, if the selected ",(0,r.jsx)(t.code,{children:"file_format"})," is ",(0,r.jsx)(t.code,{children:"csv"}),", and you enter ",(0,r.jsx)(t.code,{children:"file_path"})," as ",(0,r.jsx)(t.code,{children:"./output/test.txt"}),", the file is saved as ",(0,r.jsx)(t.code,{children:"./output/test.txt.csv"})," so the file is not corrupted."]})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Send a POST request to the ",(0,r.jsx)(t.strong,{children:"Webhook"})," containing your JSON data.\nReplace ",(0,r.jsx)(t.code,{children:"YOUR_FLOW_ID"})," with your flow ID.\nThis example uses the default Langflow server address."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'curl -X POST "http://127.0.0.1:7860/api/v1/webhook/YOUR_FLOW_ID" \\',props:{}}]},{tokens:[{content:"-H 'Content-Type: application/json' \\",props:{}}]},{tokens:[{content:"-H 'x-api-key: LANGFLOW_API_KEY' \\",props:{}}]},{tokens:[{content:"-d '{",props:{}}]},{tokens:[{content:'    "Name": ["Alex Cruz", "Kalani Smith", "Noam Johnson"],',props:{}}]},{tokens:[{content:'    "Role": ["Developer", "Designer", "Manager"],',props:{}}]},{tokens:[{content:'    "Department": ["Engineering", "Design", "Management"]',props:{}}]},{tokens:[{content:"}'",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"6",children:["\n",(0,r.jsxs)(t.li,{children:["In your local filesystem, open the ",(0,r.jsx)(t.code,{children:"outputs"})," directory.\nYou should see two files created from the data you've sent: one in ",(0,r.jsx)(t.code,{children:".xlsx"})," for structured spreadsheets, and one in Markdown."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"| Name         | Role      | Department   |",props:{}}]},{tokens:[{content:"|:-------------|:----------|:-------------|",props:{}}]},{tokens:[{content:"| Alex Cruz    | Developer | Engineering  |",props:{}}]},{tokens:[{content:"| Kalani Smith | Designer  | Design       |",props:{}}]},{tokens:[{content:"| Noam Johnson | Manager   | Management   |",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(t.h3,{id:"file-input-format-options",children:"File input format options"}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"DataFrame"})," and ",(0,r.jsx)(t.code,{children:"Data"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"csv"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"excel"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["For ",(0,r.jsx)(t.code,{children:"Message"})," inputs, the component can create:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"txt"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"json"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"markdown"})}),"\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.code,{children:"pdf"})}),"\n"]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_text"}),(0,r.jsx)(t.td,{children:"Input Text"}),(0,r.jsx)(t.td,{children:"The text to analyze and extract patterns from."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"pattern"}),(0,r.jsx)(t.td,{children:"Regex Pattern"}),(0,r.jsx)(t.td,{children:"The regular expression pattern to match in the text."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_type"}),(0,r.jsx)(t.td,{children:"Input Type"}),(0,r.jsx)(t.td,{children:"The type of input to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"The DataFrame to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The Data object to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"message"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The Message to save."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_format"}),(0,r.jsx)(t.td,{children:"File Format"}),(0,r.jsx)(t.td,{children:"The file format to save the input in."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"file_path"}),(0,r.jsx)(t.td,{children:"File Path"}),(0,r.jsx)(t.td,{children:"The full file path including filename and extension."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"A list of extracted matches as Data objects."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text"}),(0,r.jsx)(t.td,{children:"Message"}),(0,r.jsx)(t.td,{children:"The extracted matches formatted as a Message object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"confirmation"}),(0,r.jsx)(t.td,{children:"Confirmation"}),(0,r.jsx)(t.td,{children:"The confirmation message after saving the file."})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"smart-function",children:"Smart Function"}),"\n",(0,r.jsxs)(t.p,{children:["In Langflow version 1.5, this component was renamed from ",(0,r.jsx)(t.strong,{children:"Lambda Filter"})," to ",(0,r.jsx)(t.strong,{children:"Smart Function"}),"."]}),"\n",(0,r.jsx)(t.p,{children:"This component uses an LLM to generate a function for filtering or transforming structured data."}),"\n",(0,r.jsxs)(t.p,{children:["To use the ",(0,r.jsx)(t.strong,{children:"Smart function"})," component, you must connect it to a ",(0,r.jsx)(t.a,{href:"/components-models",children:"Language Model"})," component, which the component uses to generate a function based on the natural language instructions in the ",(0,r.jsx)(t.strong,{children:"Instructions"})," field."]}),"\n",(0,r.jsxs)(t.p,{children:["This example gets JSON data from the ",(0,r.jsx)(t.code,{children:"https://jsonplaceholder.typicode.com/users"})," API endpoint.\nThe ",(0,r.jsx)(t.strong,{children:"Instructions"})," field in the ",(0,r.jsx)(t.strong,{children:"Smart function"})," component specifies the task ",(0,r.jsx)(t.code,{children:"extract emails"}),".\nThe connected LLM creates a filter based on the instructions, and successfully extracts a list of email addresses from the JSON data."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Smart function connected to an LLM",src:n(66539).A+"",width:"4000",height:"1796"})}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The structured data to filter or transform using a Lambda function."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"llm"}),(0,r.jsx)(t.td,{children:"Language Model"}),(0,r.jsxs)(t.td,{children:["The connection port for a ",(0,r.jsx)(t.a,{href:"/components-models",children:"Model"})," component."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_instruction"}),(0,r.jsx)(t.td,{children:"Instructions"}),(0,r.jsxs)(t.td,{children:["The natural language instructions for how to filter or transform the data using a Lambda function, such as ",(0,r.jsx)(t.code,{children:"Filter the data to only include items where the 'status' is 'active'"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sample_size"}),(0,r.jsx)(t.td,{children:"Sample Size"}),(0,r.jsx)(t.td,{children:"For large datasets, the number of characters to sample from the dataset head and tail."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"max_size"}),(0,r.jsx)(t.td,{children:"Max Size"}),(0,r.jsxs)(t.td,{children:['The number of characters for the data to be considered "large", which triggers sampling by the ',(0,r.jsx)(t.code,{children:"sample_size"})," value."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filtered_data"}),(0,r.jsx)(t.td,{children:"Filtered Data"}),(0,r.jsxs)(t.td,{children:["The filtered or transformed ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data object"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsxs)(t.td,{children:["The filtered data as a ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"}),"."]})]})]})]})]}),"\n",(0,r.jsx)(t.h2,{id:"split-text",children:"Split Text"}),"\n",(0,r.jsx)(t.p,{children:"This component splits text into chunks based on specified criteria. It's ideal for chunking data to be tokenized and embedded into vector databases."}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Split Text"})," component outputs ",(0,r.jsx)(t.strong,{children:"Chunks"})," or ",(0,r.jsx)(t.strong,{children:"DataFrame"}),".\nThe ",(0,r.jsx)(t.strong,{children:"Chunks"})," output returns a list of individual text chunks.\nThe ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output returns a structured data format, with additional ",(0,r.jsx)(t.code,{children:"text"})," and ",(0,r.jsx)(t.code,{children:"metadata"})," columns applied."]}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["To use this component in a flow, connect a component that outputs ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data or DataFrame"})," to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"Data"})," port.\nThis example uses the ",(0,r.jsx)(t.strong,{children:"URL"})," component, which is fetching JSON placeholder data."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Split text component and chroma-db",src:n(49823).A+"",width:"4000",height:"2766"})}),"\n",(0,r.jsxs)(t.ol,{start:"2",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component, define your data splitting parameters."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["This example splits incoming JSON data at the separator ",(0,r.jsx)(t.code,{children:"},"}),", so each chunk contains one JSON object."]}),"\n",(0,r.jsxs)(t.p,{children:["The order of precedence is ",(0,r.jsx)(t.strong,{children:"Separator"}),", then ",(0,r.jsx)(t.strong,{children:"Chunk Size"}),", and then ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"}),".\nIf any segment after separator splitting is longer than ",(0,r.jsx)(t.code,{children:"chunk_size"}),", it is split again to fit within ",(0,r.jsx)(t.code,{children:"chunk_size"}),"."]}),"\n",(0,r.jsxs)(t.p,{children:["After ",(0,r.jsx)(t.code,{children:"chunk_size"}),", ",(0,r.jsx)(t.strong,{children:"Chunk Overlap"})," is applied between chunks to maintain context."]}),"\n",(0,r.jsxs)(t.ol,{start:"3",children:["\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Chat Output"})," component to the ",(0,r.jsx)(t.strong,{children:"Split Text"})," component's ",(0,r.jsx)(t.strong,{children:"DataFrame"})," output to view its output."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then click ",(0,r.jsx)(t.strong,{children:"Run Flow"}),".\nThe output contains a table of JSON objects split at ",(0,r.jsx)(t.code,{children:"},"}),"."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 1,',props:{}}]},{tokens:[{content:'"id": 1,',props:{}}]},{tokens:[{content:'"title": "Introduction to Artificial Intelligence",',props:{}}]},{tokens:[{content:'"body": "Learn the basics of Artificial Intelligence and its applications in various industries.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article1",',props:{}}]},{tokens:[{content:'"comment_count": 8',props:{}}]},{tokens:[{content:"},",props:{}}]},{tokens:[{content:"{",props:{}}]},{tokens:[{content:'"userId": 2,',props:{}}]},{tokens:[{content:'"id": 2,',props:{}}]},{tokens:[{content:'"title": "Web Development with React",',props:{}}]},{tokens:[{content:'"body": "Build modern web applications using React.js and explore its powerful features.",',props:{}}]},{tokens:[{content:'"link": "https://example.com/article2",',props:{}}]},{tokens:[{content:'"comment_count": 12',props:{}}]},{tokens:[{content:"},",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["Clear the ",(0,r.jsx)(t.strong,{children:"Separator"})," field, and then run the flow again.\nInstead 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Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data_inputs"}),(0,r.jsx)(t.td,{children:"Input Documents"}),(0,r.jsxs)(t.td,{children:["The data to split. The component accepts ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"})," or ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_overlap"}),(0,r.jsx)(t.td,{children:"Chunk Overlap"}),(0,r.jsxs)(t.td,{children:["The number of characters to overlap between chunks. Default: ",(0,r.jsx)(t.code,{children:"200"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_size"}),(0,r.jsx)(t.td,{children:"Chunk Size"}),(0,r.jsxs)(t.td,{children:["The maximum number of characters in each chunk. Default: ",(0,r.jsx)(t.code,{children:"1000"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"separator"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsxs)(t.td,{children:["The character to split on. Default: ",(0,r.jsx)(t.code,{children:"newline"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsxs)(t.td,{children:["The key to use for the text column. Default: ",(0,r.jsx)(t.code,{children:"text"}),"."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunks"}),(0,r.jsx)(t.td,{children:"Chunks"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"})," objects."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"dataframe"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsxs)(t.td,{children:["A list of split text chunks as ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"})," objects."]})]})]})]})]}),"\n",(0,r.jsx)(t.h3,{id:"other-text-splitters",children:"Other text splitters"}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:(0,r.jsx)(t.a,{href:"/bundles-langchain#text-splitters",children:"LangChain text splitter components"})}),"\n"]}),"\n",(0,r.jsx)(t.h2,{id:"structured-output",children:"Structured output"}),"\n",(0,r.jsx)(t.p,{children:"This component transforms LLM responses into structured data formats."}),"\n",(0,r.jsxs)(t.p,{children:["In this example from the ",(0,r.jsx)(t.strong,{children:"Financial Support Parser"})," template, the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component transforms unstructured financial reports into structured data."]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Structured output example",src:n(82798).A+"",width:"4000",height:"1724"})}),"\n",(0,r.jsxs)(t.p,{children:["The connected LLM model is prompted by the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component's ",(0,r.jsx)(t.code,{children:"Format Instructions"})," parameter to extract structured output from the unstructured text. ",(0,r.jsx)(t.code,{children:"Format Instructions"})," is utilized as the system prompt for the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component."]}),"\n",(0,r.jsxs)(t.p,{children:["In the ",(0,r.jsx)(t.strong,{children:"Structured Output"})," component, click the ",(0,r.jsx)(t.strong,{children:"Open table"})," button to view the ",(0,r.jsx)(t.code,{children:"Output Schema"})," table.\nThe ",(0,r.jsx)(t.code,{children:"Output Schema"})," parameter defines the structure and data types for the model's output using a table with the following fields:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Name"}),": The name of the output field."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Description"}),": The purpose of the output field."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Type"}),": The data type of the output field. The available types are ",(0,r.jsx)(t.code,{children:"str"}),", ",(0,r.jsx)(t.code,{children:"int"}),", ",(0,r.jsx)(t.code,{children:"float"}),", ",(0,r.jsx)(t.code,{children:"bool"}),", ",(0,r.jsx)(t.code,{children:"list"}),", or ",(0,r.jsx)(t.code,{children:"dict"}),". The default is ",(0,r.jsx)(t.code,{children:"text"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Multiple"}),": This feature is deprecated. Currently, it is set to ",(0,r.jsx)(t.code,{children:"True"})," by default if you expect multiple values for a single field. For example, a ",(0,r.jsx)(t.code,{children:"list"})," of ",(0,r.jsx)(t.code,{children:"features"})," is set to ",(0,r.jsx)(t.code,{children:"True"})," to contain multiple values, such as ",(0,r.jsx)(t.code,{children:'["waterproof", "durable", "lightweight"]'}),". Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"Parse DataFrame"})," component parses the structured output into a template for orderly presentation in chat output. The template receives the values from the ",(0,r.jsx)(t.code,{children:"output_schema"})," table with curly braces."]}),"\n",(0,r.jsxs)(t.p,{children:["For example, the template ",(0,r.jsx)(t.code,{children:"EBITDA: {EBITDA}  ,  Net Income: {NET_INCOME} , GROSS_PROFIT: {GROSS_PROFIT}"})," presents the extracted values in the ",(0,r.jsx)(t.strong,{children:"Playground"})," as ",(0,r.jsx)(t.code,{children:"EBITDA: 900 million , Net Income: 500 million , GROSS_PROFIT: 1.2 billion"}),"."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"llm"}),(0,r.jsx)(t.td,{children:"LanguageModel"}),(0,r.jsx)(t.td,{children:"The language model to use to generate the structured output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The input message to the language model."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"system_prompt"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The instructions to the language model for formatting the output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"schema_name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"The name for the output data schema."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output_schema"}),(0,r.jsx)(t.td,{children:"Table"}),(0,r.jsx)(t.td,{children:"The structure and data types for the model's output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"multiple"}),(0,r.jsx)(t.td,{children:"Boolean"}),(0,r.jsxs)(t.td,{children:["[Deprecated] Always set to ",(0,r.jsx)(t.code,{children:"True"}),"."]})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"structured_output"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"The structured output is a Data object based on the defined schema."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"type-convert",children:"Type convert"}),"\n",(0,r.jsxs)(t.p,{children:["This component converts data types between different formats. It can transform data between ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"}),", ",(0,r.jsx)(t.a,{href:"/data-types#dataframe",children:"DataFrame"}),", and ",(0,r.jsx)(t.a,{href:"/data-types#message",children:"Message"})," objects."]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Data"}),": A structured object that contains both text and metadata."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "text"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"User Profile"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "data"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"John Smith"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "age"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"30",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"john@example.com"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"DataFrame"}),": A tabular data structure with rows and columns.\nKeys are columns, and each dictionary (a collection of key-value pairs) in the list is a row."]}),"\n"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"[",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"John Smith"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "age"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"30",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"john@example.com"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  },",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Jane Doe"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "age"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"25",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "email"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"jane@example.com"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"]",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Message"}),": A string, such as",(0,r.jsx)(t.code,{children:'"Name: John Smith, Age: 30, Email: john@example.com"'}),"."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"To use this component in a flow, do the following:"}),"\n",(0,r.jsxs)(t.ol,{children:["\n",(0,r.jsxs)(t.li,{children:["Add the ",(0,r.jsx)(t.strong,{children:"Web search"})," component to the ",(0,r.jsx)(t.a,{href:"/basic-prompting",children:"Basic prompting"})," flow. In the ",(0,r.jsx)(t.strong,{children:"Search Query"})," field, enter a query, such as ",(0,r.jsx)(t.code,{children:"environmental news"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect the ",(0,r.jsx)(t.strong,{children:"Web search"})," component's output to a component that accepts the DataFrame input.\nThis example uses a ",(0,r.jsx)(t.strong,{children:"Prompt"})," component to give the chatbot context, so you must convert the ",(0,r.jsx)(t.strong,{children:"Web search"})," component's DataFrame output to a Message type."]}),"\n",(0,r.jsxs)(t.li,{children:["Connect a ",(0,r.jsx)(t.strong,{children:"Type Convert"})," component to convert the DataFrame to a Message."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Type Convert"})," component, in the ",(0,r.jsx)(t.strong,{children:"Output Type"})," field, select ",(0,r.jsx)(t.strong,{children:"Message"}),".\nYour flow looks like this:"]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:(0,r.jsx)(t.img,{alt:"Type convert web search output to chat",src:n(42547).A+"",width:"4000",height:"1826"})}),"\n",(0,r.jsxs)(t.ol,{start:"5",children:["\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Language Model"})," component, in the ",(0,r.jsx)(t.strong,{children:"OpenAI API Key"})," field, add your OpenAI API key."]}),"\n",(0,r.jsxs)(t.li,{children:["Click ",(0,r.jsx)(t.strong,{children:"Playground"}),", and then ask about ",(0,r.jsx)(t.code,{children:"latest news"}),"."]}),"\n"]}),"\n",(0,r.jsx)(t.p,{children:"The search results are returned to the Playground as a message."}),"\n",(0,r.jsx)(t.p,{children:"Result:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Latest news",props:{}}]},{tokens:[{content:"AI",props:{}}]},{tokens:[{content:"gpt-4o-mini",props:{}}]},{tokens:[{content:"Here are some of the latest news articles related to the environment:",props:{}}]},{tokens:[{content:"Ozone Pollution and Global Warming: A recent study highlights that ozone pollution is a significant global environmental concern, threatening human health and crop production while exacerbating global warming. Read more",props:{}}]},{tokens:[{content:"...",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parameters"}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Inputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Input Data"}),(0,r.jsx)(t.td,{children:"The data to convert. Accepts Data, DataFrame, or Message objects."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output_type"}),(0,r.jsx)(t.td,{children:"Output Type"}),(0,r.jsx)(t.td,{children:"The desired output type. Options: Data, DataFrame, or Message."})]})]})]}),(0,r.jsx)(t.p,{children:(0,r.jsx)(t.strong,{children:"Outputs"})}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsx)(t.tbody,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Output"}),(0,r.jsx)(t.td,{children:"The converted data in the specified format."})]})})]})]}),"\n",(0,r.jsx)(t.h2,{id:"legacy-processing-components",children:"Legacy processing components"}),"\n",(0,r.jsx)(t.p,{children:"The following processing components are legacy components.\nYou can still use them in your flows, but they are no longer supported and can be removed in a future release."}),"\n",(0,r.jsx)(t.p,{children:"Replace these components with suggested alternatives as soon as possible."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Alter Metadata"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component modifies metadata of input objects. It can add new metadata, update existing metadata, and remove specified metadata fields. The component works with both ",(0,r.jsx)(t.code,{children:"Message"})," and ",(0,r.jsx)(t.code,{children:"Data"})," objects, and can also create a new ",(0,r.jsx)(t.code,{children:"Data"})," object from user-provided text."]}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_value"}),(0,r.jsx)(t.td,{children:"Input"}),(0,r.jsx)(t.td,{children:"Input parameter. Objects to which Metadata should be added."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_in"}),(0,r.jsx)(t.td,{children:"User Text"}),(0,r.jsxs)(t.td,{children:["Input parameter. Text input; the value is contained in the 'text' attribute of the ",(0,r.jsx)(t.code,{children:"Data"})," object. Empty text entries are ignored."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"metadata"}),(0,r.jsx)(t.td,{children:"Metadata"}),(0,r.jsx)(t.td,{children:"Input parameter. Metadata to add to each object."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_fields"}),(0,r.jsx)(t.td,{children:"Fields to Remove"}),(0,r.jsx)(t.td,{children:"Input parameter. Metadata fields to remove."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"data"}),(0,r.jsx)(t.td,{children:"Data"}),(0,r.jsx)(t.td,{children:"Output parameter. List of Input objects, each with added metadata."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Combine Data/Merge Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]})," or the ",(0,r.jsxs)(t.a,{href:"/components-logic#loop",children:[(0,r.jsx)(t.strong,{children:"Loop"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component combines multiple data sources into a single unified ",(0,r.jsx)(t.code,{children:"Data"})," object."]}),(0,r.jsxs)(t.p,{children:["The component iterates through a list of ",(0,r.jsx)(t.code,{children:"Data"})," objects, merging them into a single ",(0,r.jsx)(t.code,{children:"Data"})," object (",(0,r.jsx)(t.code,{children:"merged_data"}),").\nIf the input list is empty, it returns an empty data object.\nIf there's only one input data object, it returns that object unchanged."]}),(0,r.jsx)(t.p,{children:"The merging process uses the addition operator to combine data objects."})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Combine Text"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component concatenates two text inputs into a single text chunk using a specified delimiter, outputting a ",(0,r.jsx)(t.code,{children:"Message"})," object with the combined text."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Create Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component dynamically creates a ",(0,r.jsx)(t.code,{children:"Data"})," object with a specified number of fields and a text key."]}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"number_of_fields"}),(0,r.jsx)(t.td,{children:"Number of Fields"}),(0,r.jsx)(t.td,{children:"Input parameter. The number of fields to be added to the record."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key"}),(0,r.jsx)(t.td,{children:"Text Key"}),(0,r.jsx)(t.td,{children:"Input parameter. Key that identifies the field to be used as the text content."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_key_validator"}),(0,r.jsx)(t.td,{children:"Text Key Validator"}),(0,r.jsxs)(t.td,{children:["Input parameter. If enabled, checks if the given ",(0,r.jsx)(t.code,{children:"Text Key"})," is present in the given ",(0,r.jsx)(t.code,{children:"Data"}),"."]})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Extract Key"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component extracts a specific key from a ",(0,r.jsx)(t.code,{children:"Data"})," object and returns the value associated with that key."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Data to DataFrame/Data to Message"}),(0,r.jsxs)(t.p,{children:["Replace these legacy components with newer processing components, such as the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]})," and ",(0,r.jsxs)(t.a,{href:"#type-convert",children:[(0,r.jsx)(t.strong,{children:"Type Convert"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["These components converted one or more ",(0,r.jsx)(t.code,{children:"Data"})," objects into a ",(0,r.jsx)(t.code,{children:"DataFrame"})," or ",(0,r.jsx)(t.code,{children:"Message"})," object."]}),(0,r.jsxs)(t.p,{children:["For the ",(0,r.jsx)(t.strong,{children:"Data to DataFrame"})," component, each ",(0,r.jsx)(t.code,{children:"Data"})," object corresponds to one row in the resulting ",(0,r.jsx)(t.code,{children:"DataFrame"}),".\nFields from the ",(0,r.jsx)(t.code,{children:".data"})," attribute become columns, and the ",(0,r.jsx)(t.code,{children:".text"})," field (if present) is placed in a ",(0,r.jsx)(t.code,{children:"text"})," column."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Filter Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component filters a ",(0,r.jsx)(t.code,{children:"Data"})," object based on a list of keys (",(0,r.jsx)(t.code,{children:"filter_criteria"}),"), returning a new ",(0,r.jsx)(t.code,{children:"Data"})," object (",(0,r.jsx)(t.code,{children:"filtered_data"}),") that contains only the key-value pairs that match the filter criteria."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Filter Values"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#data-operations",children:[(0,r.jsx)(t.strong,{children:"Data Operations"})," component"]}),"."]}),(0,r.jsx)(t.p,{children:"The Filter values component filters a list of data items based on a specified key, filter value, and comparison operator."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"input_data"}),(0,r.jsx)(t.td,{children:"Input data"}),(0,r.jsx)(t.td,{children:"Input parameter. The list of data items to filter."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_key"}),(0,r.jsx)(t.td,{children:"Filter Key"}),(0,r.jsx)(t.td,{children:"Input parameter. The key to filter on."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filter_value"}),(0,r.jsx)(t.td,{children:"Filter Value"}),(0,r.jsx)(t.td,{children:"Input parameter. The value to filter by."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"operator"}),(0,r.jsx)(t.td,{children:"Comparison Operator"}),(0,r.jsx)(t.td,{children:"Input parameter. The operator to apply for comparing the values."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"filtered_data"}),(0,r.jsx)(t.td,{children:"Filtered data"}),(0,r.jsx)(t.td,{children:"Output parameter. The resulting list of filtered data items."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"JSON Cleaner"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsx)(t.p,{children:"This component cleans JSON strings to ensure they are fully compliant with the JSON specification."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"json_str"}),(0,r.jsx)(t.td,{children:"JSON String"}),(0,r.jsx)(t.td,{children:"Input parameter. The JSON string to be cleaned. This can be a raw, potentially malformed JSON string produced by language models or other sources that may not fully comply with JSON specifications."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"remove_control_chars"}),(0,r.jsx)(t.td,{children:"Remove Control Characters"}),(0,r.jsx)(t.td,{children:"Input parameter. If set to True, this option removes control characters (ASCII characters 0-31 and 127) from the JSON string. This can help eliminate invisible characters that might cause parsing issues or make the JSON invalid."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"normalize_unicode"}),(0,r.jsx)(t.td,{children:"Normalize Unicode"}),(0,r.jsx)(t.td,{children:"Input parameter. When enabled, this option normalizes Unicode characters in the JSON string to their canonical composition form (NFC). This ensures consistent representation of Unicode characters across different systems and prevents potential issues with character encoding."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"validate_json"}),(0,r.jsx)(t.td,{children:"Validate JSON"}),(0,r.jsx)(t.td,{children:"Input parameter. If set to True, this option attempts to parse the JSON string to ensure it is well-formed before applying the final repair operation. It raises a ValueError if the JSON is invalid, allowing for early detection of major structural issues in the JSON."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"output"}),(0,r.jsx)(t.td,{children:"Cleaned JSON String"}),(0,r.jsx)(t.td,{children:"Output parameter. The resulting cleaned, repaired, and validated JSON string that fully complies with the JSON specification."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Message to Data"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#type-convert",children:[(0,r.jsx)(t.strong,{children:"Type Convert"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component converts ",(0,r.jsx)(t.code,{children:"Message"})," objects to ",(0,r.jsx)(t.code,{children:"Data"})," objects."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parse DataFrame"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#dataframe-operations",children:[(0,r.jsx)(t.strong,{children:"DataFrame Operations"})," component"]})," or ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component converts ",(0,r.jsx)(t.code,{children:"DataFrame"})," objects into plain text using templates."]}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Display Name"}),(0,r.jsx)(t.th,{children:"Info"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"df"}),(0,r.jsx)(t.td,{children:"DataFrame"}),(0,r.jsx)(t.td,{children:"Input parameter. The DataFrame to convert to text rows."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"template"}),(0,r.jsx)(t.td,{children:"Template"}),(0,r.jsxs)(t.td,{children:["Input parameter. Template for formatting (use ",(0,r.jsx)(t.code,{children:"{column_name}"})," placeholders)."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"sep"}),(0,r.jsx)(t.td,{children:"Separator"}),(0,r.jsx)(t.td,{children:"Input parameter. String to join rows in output."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text"}),(0,r.jsx)(t.td,{children:"Text"}),(0,r.jsx)(t.td,{children:"Output parameter. All rows combined into single text."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Parse JSON"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsxs)(t.p,{children:["This component converts and extracts JSON fields in ",(0,r.jsx)(t.code,{children:"Message"})," and ",(0,r.jsx)(t.code,{children:"Data"})," objects using JQ queries, then returns ",(0,r.jsx)(t.code,{children:"filtered_data"}),", which is a list of ",(0,r.jsx)(t.code,{children:"Data"})," objects."]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Python REPL"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#python-interpreter",children:[(0,r.jsx)(t.strong,{children:"Python Interpreter"})," component"]})," or another processing or logic component."]}),(0,r.jsx)(t.p,{children:"This component creates a Python REPL (Read-Eval-Print Loop) tool for executing Python code."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsxs)(t.td,{children:["Input parameter. The name of the tool. Default: ",(0,r.jsx)(t.code,{children:"python_repl"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"description"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. A description of the tool's functionality."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"global_imports"}),(0,r.jsx)(t.td,{children:"List[String]"}),(0,r.jsxs)(t.td,{children:["Input parameter. A list of modules to import globally. Default: ",(0,r.jsx)(t.code,{children:"math"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool"}),(0,r.jsx)(t.td,{children:"Tool"}),(0,r.jsx)(t.td,{children:"Output parameter. A Python REPL tool for use in LangChain."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Python Code Structured"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#python-interpreter",children:[(0,r.jsx)(t.strong,{children:"Python Interpreter"})," component"]})," or another processing or logic component."]}),(0,r.jsx)(t.p,{children:"This component creates a structured tool from Python code using a dataclass."}),(0,r.jsx)(t.p,{children:"The component dynamically updates its configuration based on the provided Python code, allowing for custom function arguments and descriptions."}),(0,r.jsx)(t.p,{children:"It accepts the following parameters:"}),(0,r.jsxs)(t.table,{children:[(0,r.jsx)(t.thead,{children:(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.th,{children:"Name"}),(0,r.jsx)(t.th,{children:"Type"}),(0,r.jsx)(t.th,{children:"Description"})]})}),(0,r.jsxs)(t.tbody,{children:[(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_code"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The Python code for the tool's dataclass."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_name"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The name of the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_description"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The description of the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"return_direct"}),(0,r.jsx)(t.td,{children:"Boolean"}),(0,r.jsx)(t.td,{children:"Input parameter. Whether to return the function output directly."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"tool_function"}),(0,r.jsx)(t.td,{children:"String"}),(0,r.jsx)(t.td,{children:"Input parameter. The selected function for the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"global_variables"}),(0,r.jsx)(t.td,{children:"Dict"}),(0,r.jsx)(t.td,{children:"Input parameter. Global variables or data for the tool."})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"result_tool"}),(0,r.jsx)(t.td,{children:"Tool"}),(0,r.jsx)(t.td,{children:"Output parameter. A structured tool created from the Python code."})]})]})]})]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Regex Extractor"}),(0,r.jsxs)(t.p,{children:["Replace this legacy component with the ",(0,r.jsxs)(t.a,{href:"#parser",children:[(0,r.jsx)(t.strong,{children:"Parser"})," component"]}),"."]}),(0,r.jsx)(t.p,{children:"This component extracts patterns in text using regular expressions. 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One moment please.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion User List tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Here's a list of users in your Notion workspace:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"1. John Doe (john@example.com)",props:{}}]},{tokens:[{content:"2. Jane Smith (jane@example.com)",props:{}}]},{tokens:[{content:"3. Alex Johnson (alex@example.com)",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Is there anything specific you'd like to know about these users or any other Notion-related task I can help you with?",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'User: Create a new page in my Projects database with the title "Website Redesign".',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'd be happy to create a new page in your Projects database with the title \"Website Redesign\". 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Is there anything else you'd like me to add or modify on this project page?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,s.jsx)(n.p,{children:"The flow can be customized to meet your team's specific needs.\nFor example:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Adjust the system prompt to change the agent's behavior or knowledge base."}),"\n",(0,s.jsx)(n.li,{children:"Add or remove Notion tools based on your specific needs."}),"\n",(0,s.jsx)(n.li,{children:"Modify the OpenAI model parameters (e.g., temperature) to adjust the agent's response style."}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,s.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Ensure all API keys are correctly set and have the necessary permissions."}),"\n",(0,s.jsx)(n.li,{children:"Check that your Notion integration has access to the relevant pages and databases."}),"\n",(0,s.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,s.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["For more advanced usage and integration options, refer to the ",(0,s.jsx)(n.a,{href:"https://developers.notion.com/",children:"Notion API documentation"})," and ",(0,s.jsx)(n.a,{href:"/",children:"Langflow documentation"}),"."]})]})}function u(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(g,{...e})}):g(e)}function m(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},28453:(e,n,t)=>{t.d(n,{R:()=>r,x:()=>a});var o=t(96540);const s={},i=o.createContext(s);function r(e){const n=o.useContext(i);return o.useMemo(function(){return"function"==typeof e?e(n):{...n,...e}},[n,e])}function a(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),o.createElement(i.Provider,{value:n},e.children)}},54821:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/files/Conversational_Notion_Agent-29ab60cb11e52e7bbb1a4917f4799629.json"},84530:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/notion_conversational_agent_tools-6952705eb98e10bd4a67b74500a6189d.png"}}]);
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One moment please.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion User List tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Here's a list of users in your Notion workspace:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"1. John Doe (john@example.com)",props:{}}]},{tokens:[{content:"2. Jane Smith (jane@example.com)",props:{}}]},{tokens:[{content:"3. Alex Johnson (alex@example.com)",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Is there anything specific you'd like to know about these users or any other Notion-related task I can help you with?",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'User: Create a new page in my Projects database with the title "Website Redesign".',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'd be happy to create a new page in your Projects database with the title \"Website Redesign\". 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Here are the details:',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"- Title: Website Redesign",props:{}}]},{tokens:[{content:"- Page ID: [page_id_here]",props:{}}]},{tokens:[{content:"- URL: [page_url_here]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Is there any additional information you'd like me to add to this new project page, such as a description, due date, or assigned team members?",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'User: Yes, please add a description: "Redesign company website to improve user experience and modernize the look."',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'd be happy to add that description to the \"Website Redesign\" project page. I'll use the Add Content to Page tool to update the page with this information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Add Content to Page tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"I've successfully added the description to your \"Website Redesign\" project page. Here's a summary of what I've done:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'1. Located the "Website Redesign" page using the page ID from our previous interaction.',props:{}}]},{tokens:[{content:"2. Added the following content to the page:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"   Description: Redesign company website to improve user experience and modernize the look.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"The description has been added as a new text block on the page. Is there anything else you'd like me to add or modify on this project page?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,s.jsx)(n.p,{children:"The flow can be customized to meet your team's specific needs.\nFor example:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Adjust the system prompt to change the agent's behavior or knowledge base."}),"\n",(0,s.jsx)(n.li,{children:"Add or remove Notion tools based on your specific needs."}),"\n",(0,s.jsx)(n.li,{children:"Modify the OpenAI model parameters (e.g., temperature) to adjust the agent's response style."}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,s.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsx)(n.li,{children:"Ensure all API keys are correctly set and have the necessary permissions."}),"\n",(0,s.jsx)(n.li,{children:"Check that your Notion integration has access to the relevant pages and databases."}),"\n",(0,s.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,s.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["For more advanced usage and integration options, refer to the ",(0,s.jsx)(n.a,{href:"https://developers.notion.com/",children:"Notion API documentation"})," and ",(0,s.jsx)(n.a,{href:"/",children:"Langflow documentation"}),"."]})]})}function u(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(g,{...e})}):g(e)}function m(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},28453:(e,n,t)=>{t.d(n,{R:()=>r,x:()=>a});var o=t(96540);const s={},i=o.createContext(s);function r(e){const n=o.useContext(i);return o.useMemo(function(){return"function"==typeof e?e(n):{...n,...e}},[n,e])}function a(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:r(e.components),o.createElement(i.Provider,{value:n},e.children)}},54821:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/files/Conversational_Notion_Agent-29ab60cb11e52e7bbb1a4917f4799629.json"},84530:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/notion_conversational_agent_tools-6952705eb98e10bd4a67b74500a6189d.png"}}]);
\ No newline at end of file
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[5761],{14876:(e,n,t)=>{t.r(n),t.d(n,{CH:()=>h,assets:()=>l,chCodeConfig:()=>p,contentTitle:()=>c,default:()=>j,frontMatter:()=>d,metadata:()=>s,toc:()=>x});const s=JSON.parse('{"id":"Components/components-data","title":"Data","description":"You can use Langflow\'s Data components to bring data into your flows from various sources like files, API endpoints, and URLs.","source":"@site/docs/Components/components-data.mdx","sourceDirName":"Components","slug":"/components-data","permalink":"/components-data","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Data","slug":"/components-data"},"sidebar":"docs","previous":{"title":"Embedding Model","permalink":"/components-embedding-models"},"next":{"title":"Vector Stores","permalink":"/components-vector-stores"}}');var r=t(74848),o=t(28453),a=t(24754),i=t(17886);const d={title:"Data",slug:"/components-data"},c=void 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n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,o.R)(),...e.components},{Details:s}=n;return h||m("CH",!1),h.Code||m("CH.Code",!0),s||m("Details",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: 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",(0,r.jsx)(n.a,{href:"#file",children:(0,r.jsx)(n.strong,{children:"File"})})," and ",(0,r.jsx)(n.a,{href:"#directory",children:(0,r.jsx)(n.strong,{children:"Directory"})})," components."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Search the web"}),": Fetch data from the web with components like the ",(0,r.jsx)(n.a,{href:"#news-search",children:(0,r.jsx)(n.strong,{children:"News Search"})}),", ",(0,r.jsx)(n.a,{href:"#rss-reader",children:(0,r.jsx)(n.strong,{children:"RSS Reader"})}),", ",(0,r.jsx)(n.a,{href:"#web-search",children:(0,r.jsx)(n.strong,{children:"Web Search"})}),", and ",(0,r.jsx)(n.a,{href:"#url",children:(0,r.jsx)(n.strong,{children:"URL"})})," components."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Make API calls"}),": Use APIs to trigger flows or perform actions with the ",(0,r.jsx)(n.a,{href:"#api-request",children:(0,r.jsx)(n.strong,{children:"API Request"})})," and ",(0,r.jsx)(n.a,{href:"#webhook",children:(0,r.jsx)(n.strong,{children:"Webhook"})})," components."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Run SQL queries"}),": Query an SQL database with the ",(0,r.jsx)(n.a,{href:"#sql-database",children:(0,r.jsx)(n.strong,{children:"SQL Database"})})," component."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"Each component runs different commands for retrieval, processing, and type checking.\nSome components are a minimal wrapper for a command that you provide, and others include built-in scripts to fetch and process data based on variable inputs.\nAdditionally, some components return raw data, whereas others can convert, restructure, or validate the data before outputting it.\nThis means that some similar components might produce different results."}),"\n",(0,r.jsxs)(n.admonition,{type:"tip",children:[(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Data"})," components pair well with ",(0,r.jsxs)(n.a,{href:"/components-processing",children:[(0,r.jsx)(n.strong,{children:"Processing"})," components"]})," that can perform additional parsing, transformation, and validation after retrieving the data."]}),(0,r.jsxs)(n.p,{children:["This can include basic operations, like saving a file in a specific format, or more complex tasks, like using a ",(0,r.jsx)(n.strong,{children:"Text Splitter"})," component to break down a large document into smaller chunks before generating embeddings for vector search."]})]}),"\n",(0,r.jsx)(n.h2,{id:"use-data-components-in-flows",children:"Use data components in flows"}),"\n",(0,r.jsx)(n.p,{children:"Data components are used often in flows because they offer a versatile way to perform common, basic functions."}),"\n",(0,r.jsxs)(n.p,{children:["You can use data components to perform their base functions as isolated steps in your flow, or you can connect them to an ",(0,r.jsx)(n.strong,{children:"Agent"})," component as tools."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"An agentic flow with three data components connected to the agent as tools",src:t(84987).A+"",width:"4000",height:"3028"})}),"\n",(0,r.jsx)(n.p,{children:"For examples of data components in flows, see the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"/chat-with-files",children:"Create a chatbot that can ingest files"}),": Learn how to use a ",(0,r.jsx)(n.strong,{children:"File"})," component to load a file as context for a chatbot.\nThe file and user input are both passed to the LLM so you can ask questions about the file you uploaded."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"/chat-with-rag",children:"Create a vector RAG chatbot"}),": Learn how to ingest files for use in Retrieval-Augmented Generation (RAG), and then set up a chatbot that can use the ingested files as context.\nThe two flows in this tutorial prepare files for RAG, and then let your LLM use vector search to retrieve contextually relevant data during a chat session."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"}),": Learn how to use any component as a tool for an agent.\nWhen used as tools, the agent autonomously decides when to call a component based on the user's query."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"/webhook",children:"Trigger flows with webhooks"}),": Learn how to use the ",(0,r.jsx)(n.strong,{children:"Webhook"})," component to trigger a flow run in response to an external event."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"api-request",children:"API Request"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"API Request"})," component constructs and sends an HTTP requests using URLs or curl commands:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"URL mode"}),": Enter one or more comma-separated URLs, and then select the method for the request to each URL."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"curl mode"}),": Enter the curl command to execute."]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"You can enable additional request options and fields in the component's parameters."}),"\n",(0,r.jsxs)(n.p,{children:["Returns a ",(0,r.jsxs)(n.a,{href:"/data-types#data",children:[(0,r.jsx)(n.code,{children:"Data"})," object"]})," containing the response."]}),"\n",(0,r.jsxs)(n.p,{children:["For provider-specific API components, see ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"Bundles"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"api-request-parameters",children:"API Request parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"API Request"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"mode"}),(0,r.jsx)(n.td,{children:"Mode"}),(0,r.jsxs)(n.td,{children:["Input parameter. Set the mode to either ",(0,r.jsx)(n.strong,{children:"URL"})," or ",(0,r.jsx)(n.strong,{children:"curl"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"urls"}),(0,r.jsx)(n.td,{children:"URL"}),(0,r.jsx)(n.td,{children:"Input parameter. Enter one or more comma-separated URLs for the request."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"curl"}),(0,r.jsx)(n.td,{children:"cURL"}),(0,r.jsxs)(n.td,{children:["Input parameter. ",(0,r.jsx)(n.strong,{children:"curl mode"})," only. Enter a complete curl command. Other component parameters are populated from the command arguments."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"method"}),(0,r.jsx)(n.td,{children:"Method"}),(0,r.jsx)(n.td,{children:"Input parameter. The HTTP method to use."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query_params"}),(0,r.jsx)(n.td,{children:"Query Parameters"}),(0,r.jsx)(n.td,{children:"Input parameter. The query parameters to append to the URL."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"body"}),(0,r.jsx)(n.td,{children:"Body"}),(0,r.jsx)(n.td,{children:"Input parameter. The body to send with POST, PATCH, and PUT requests as a dictionary."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"headers"}),(0,r.jsx)(n.td,{children:"Headers"}),(0,r.jsx)(n.td,{children:"Input parameter. The headers to send with the request as a dictionary."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsx)(n.td,{children:"Input parameter. The timeout to use for the request."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"follow_redirects"}),(0,r.jsx)(n.td,{children:"Follow Redirects"}),(0,r.jsx)(n.td,{children:"Input parameter. Whether to follow http redirects. Default: Enabled/true"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"save_to_file"}),(0,r.jsx)(n.td,{children:"Save to File"}),(0,r.jsx)(n.td,{children:"Input parameter. Whether to save the API response to a temporary file. Default: Disabled/false"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"include_httpx_metadata"}),(0,r.jsx)(n.td,{children:"Include HTTPx Metadata"}),(0,r.jsxs)(n.td,{children:["Input parameter. Whether to include properties such as ",(0,r.jsx)(n.code,{children:"headers"}),", ",(0,r.jsx)(n.code,{children:"status_code"}),", ",(0,r.jsx)(n.code,{children:"response_headers"}),", and ",(0,r.jsx)(n.code,{children:"redirection_history"})," in the output. Default: Disabled/false"]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"directory",children:"Directory"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Directory"})," component recursively loads files from a directory, with options for file types, depth, and concurrency."]}),"\n",(0,r.jsxs)(n.p,{children:["Files must be of a ",(0,r.jsx)(n.a,{href:"#file-type-and-size-limits",children:"supported type and size"})," to be loaded."]}),"\n",(0,r.jsxs)(n.p,{children:["Outputs either a ",(0,r.jsx)(n.a,{href:"/data-types#data",children:(0,r.jsx)(n.code,{children:"Data"})})," or ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," object, depending on the directory contents."]}),"\n",(0,r.jsx)(n.h3,{id:"directory-parameters",children:"Directory parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Many ",(0,r.jsx)(n.strong,{children:"Directory"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Type"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"path"}),(0,r.jsx)(n.td,{children:"MessageTextInput"}),(0,r.jsxs)(n.td,{children:["Input parameter. The path to the directory to load files from. Default: Current directory (",(0,r.jsx)(n.code,{children:"."}),")"]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"types"}),(0,r.jsx)(n.td,{children:"MessageTextInput"}),(0,r.jsx)(n.td,{children:"Input parameter. The file types to load. Select one or more, or leave empty to attempt to load all files."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"depth"}),(0,r.jsx)(n.td,{children:"IntInput"}),(0,r.jsx)(n.td,{children:"Input parameter. The depth to search for files."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"max_concurrency"}),(0,r.jsx)(n.td,{children:"IntInput"}),(0,r.jsx)(n.td,{children:"Input parameter. The maximum concurrency for loading multiple files."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"load_hidden"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, hidden files are loaded."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"recursive"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, the search is recursive."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"silent_errors"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, errors do not raise an exception."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"use_multithreading"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, multithreading is used."})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"file",children:"File"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"File"})," component loads and parses files, converts the content into a ",(0,r.jsx)(n.code,{children:"Data"}),", ",(0,r.jsx)(n.code,{children:"DataFrame"}),", or ",(0,r.jsx)(n.code,{children:"Message"})," object.\nIt supports multiple file types and provides parameters for parallel processing and error handling."]}),"\n",(0,r.jsxs)(n.p,{children:["You can add files to the ",(0,r.jsx)(n.strong,{children:"File"})," component in the visual editor or at runtime, and you can upload multiple files at once.\nFor more information about uploading files and working with files in flows, see ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"File management"})," and ",(0,r.jsx)(n.a,{href:"/chat-with-files",children:"Create a chatbot that can ingest files"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"file-type-and-size-limits",children:"File type and size limits"}),"\n",(0,r.jsxs)(n.p,{children:["By default, the maximum file size is 100 MB.\nTo modify this value, change the ",(0,r.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_MAX_FILE_SIZE_UPLOAD",children:[(0,r.jsx)(n.code,{children:"--max-file-size-upload"})," environment variable"]}),"."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Supported file types"}),(0,r.jsxs)(n.p,{children:["The following file types are supported by the ",(0,r.jsx)(n.strong,{children:"File"})," component.\nUse archive and compressed formats to bundle multiple files together, or use the ",(0,r.jsxs)(n.a,{href:"#directory",children:[(0,r.jsx)(n.strong,{children:"Directory"})," component"]})," to load all files in a directory."]}),(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".bz2"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".csv"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".docx"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".gz"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".htm"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".html"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".json"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".js"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".md"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".mdx"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".pdf"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".py"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".sh"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".sql"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".tar"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".tgz"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".ts"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".tsx"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".txt"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".xml"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".yaml"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".yml"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".zip"})}),"\n"]})]}),"\n",(0,r.jsx)(n.p,{children:"If you need to load an unsupported file type, you must use a different component that supports that file type and, potentially, parses it outside Langflow, or you must convert it to a supported type before uploading it."}),"\n",(0,r.jsxs)(n.p,{children:["For images, see ",(0,r.jsx)(n.a,{href:"/concepts-file-management#upload-images",children:"Upload images"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["For videos, see the ",(0,r.jsx)(n.strong,{children:"Twelve Labs"})," and ",(0,r.jsx)(n.strong,{children:"YouTube"})," ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"bundles"})," in the Langflow ",(0,r.jsx)(n.strong,{children:"Components"})," menu."]}),"\n",(0,r.jsx)(n.h3,{id:"file-parameters",children:"File parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"File"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"path"}),(0,r.jsx)(n.td,{children:"Files"}),(0,r.jsxs)(n.td,{children:["Input parameter. The path to files to load. Can be local or in ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"Langflow file management"}),". Supports individual files and bundled archives."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"file_path"}),(0,r.jsx)(n.td,{children:"Server File Path"}),(0,r.jsxs)(n.td,{children:["Input parameter. A ",(0,r.jsx)(n.code,{children:"Data"})," object with a ",(0,r.jsx)(n.code,{children:"file_path"})," property pointing to a file in ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"Langflow file management"})," or a ",(0,r.jsx)(n.code,{children:"Message"})," object with a path to the file. Supersedes ",(0,r.jsx)(n.strong,{children:"Files"})," (",(0,r.jsx)(n.code,{children:"path"}),") but supports the same file types."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"separator"}),(0,r.jsx)(n.td,{children:"Separator"}),(0,r.jsxs)(n.td,{children:["Input parameter. The separator to use between multiple outputs in ",(0,r.jsx)(n.code,{children:"Message"})," format."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"silent_errors"}),(0,r.jsx)(n.td,{children:"Silent Errors"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, errors in the component don't raise an exception. The default is false/disabled."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"delete_server_file_after_processing"}),(0,r.jsx)(n.td,{children:"Delete Server File After Processing"}),(0,r.jsxs)(n.td,{children:["Input parameter. If true (default), the ",(0,r.jsx)(n.strong,{children:"Server File Path"})," (",(0,r.jsx)(n.code,{children:"file_path"}),") is deleted after processing."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"ignore_unsupported_extensions"}),(0,r.jsx)(n.td,{children:"Ignore Unsupported Extensions"}),(0,r.jsxs)(n.td,{children:["Input parameter. If true/enabled (default), files with unsupported extensions are accepted but not processed. If false/disabled, the ",(0,r.jsx)(n.strong,{children:"File"})," component either can throw an error if an unsupported file type is provided."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"ignore_unspecified_files"}),(0,r.jsx)(n.td,{children:"Ignore Unspecified Files"}),(0,r.jsxs)(n.td,{children:["Input parameter. If true, ",(0,r.jsx)(n.code,{children:"Data"})," with no ",(0,r.jsx)(n.code,{children:"file_path"})," property is ignored. If false (default), the component errors when a file is not specified."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"concurrency_multithreading"}),(0,r.jsx)(n.td,{children:"Processing Concurrency"}),(0,r.jsx)(n.td,{children:"Input parameter. The number of files to process concurrently if multiple files are uploaded. Default is 1. Values greater than 1 enable parallel processing for 2 or more files."})]})]})]}),"\n",(0,r.jsx)(n.h3,{id:"file-output",children:"File output"}),"\n",(0,r.jsxs)(n.p,{children:["The output of the ",(0,r.jsx)(n.strong,{children:"File"})," component depends on the number and type of files loaded:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"No files"}),": Throws an error or, if ",(0,r.jsx)(n.strong,{children:"Silent Errors"})," is enabled, produces no output."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"One file"}),": Produces one of the following depending on the file type. If multiple types are available, you can select the output type by clicking the output field (near the component's output port)."]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Structured Content"}),": Available for some tabular and structured data.\nFor ",(0,r.jsx)(n.code,{children:".csv"})," files, produces a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," representing the table data.\nFor ",(0,r.jsx)(n.code,{children:".json"})," files, produces a ",(0,r.jsx)(n.a,{href:"/data-types#data",children:(0,r.jsx)(n.code,{children:"Data"})})," object with the parsed JSON data."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Raw Content"}),": A ",(0,r.jsx)(n.a,{href:"/data-types#message",children:(0,r.jsx)(n.code,{children:"Message"})})," containing the file's raw text content."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"File Path"}),": A ",(0,r.jsx)(n.a,{href:"/data-types#message",children:(0,r.jsx)(n.code,{children:"Message"})})," containing the path to the file in ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"Langflow file management"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Multiple files"}),": Produces a ",(0,r.jsx)(n.strong,{children:"Files"})," ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing the content and metadata of all selected files."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"news-search",children:"News Search"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"News Search"})," component searches Google News through RSS, and then returns clean article data as a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing article titles, links, publication dates, and summaries.\nThe component's ",(0,r.jsx)(n.code,{children:"clean_html"})," method parses the HTML content with the BeautifulSoup library, removes HTML markup, and strips whitespace to output clean data."]}),"\n",(0,r.jsxs)(n.p,{children:["For other RSS feeds, use the ",(0,r.jsxs)(n.a,{href:"#rss-reader",children:[(0,r.jsx)(n.strong,{children:"RSS Reader"})," component"]}),", and for other searches use the ",(0,r.jsxs)(n.a,{href:"#web-search",children:[(0,r.jsx)(n.strong,{children:"Web Search"})," component"]})," or a provider-specific ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"bundle"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"News Search"})," component must be connected to a component that accepts ",(0,r.jsx)(n.code,{children:"DataFrame"})," input.\nYou can connect the ",(0,r.jsx)(n.strong,{children:"News Search"})," component directly to a compatible component, or you can use a ",(0,r.jsx)(n.a,{href:"/components-processing",children:"processing component"})," to convert or extract data of a different type between components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"News Search"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"News Search"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," output directly."]}),"\n",(0,r.jsx)(n.h3,{id:"news-search-parameters",children:"News Search parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"News Search"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query"}),(0,r.jsx)(n.td,{children:"Search Query"}),(0,r.jsx)(n.td,{children:"Input parameter. Search keywords for news articles."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"hl"}),(0,r.jsx)(n.td,{children:"Language (hl)"}),(0,r.jsxs)(n.td,{children:["Input parameter. Language code, such as en-US, fr, de. Default: ",(0,r.jsx)(n.code,{children:"en-US"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"gl"}),(0,r.jsx)(n.td,{children:"Country (gl)"}),(0,r.jsxs)(n.td,{children:["Input parameter. Country code, such as US, FR, DE. Default: ",(0,r.jsx)(n.code,{children:"US"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"ceid"}),(0,r.jsxs)(n.td,{children:["Country",":Language"," (ceid)"]}),(0,r.jsxs)(n.td,{children:["Input parameter. Language, such as US",":en",", FR",":fr",". Default: ",(0,r.jsx)(n.code,{children:"US:en"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"topic"}),(0,r.jsx)(n.td,{children:"Topic"}),(0,r.jsxs)(n.td,{children:["Input parameter. One of: ",(0,r.jsx)(n.code,{children:"WORLD"}),", ",(0,r.jsx)(n.code,{children:"NATION"}),", ",(0,r.jsx)(n.code,{children:"BUSINESS"}),", ",(0,r.jsx)(n.code,{children:"TECHNOLOGY"}),", ",(0,r.jsx)(n.code,{children:"ENTERTAINMENT"}),", ",(0,r.jsx)(n.code,{children:"SCIENCE"}),", ",(0,r.jsx)(n.code,{children:"SPORTS"}),", ",(0,r.jsx)(n.code,{children:"HEALTH"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"location"}),(0,r.jsx)(n.td,{children:"Location (Geo)"}),(0,r.jsx)(n.td,{children:"Input parameter. City, state, or country for location-based news. Leave blank for keyword search."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsx)(n.td,{children:"Input parameter. Timeout for the request in seconds."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"articles"}),(0,r.jsx)(n.td,{children:"News Articles"}),(0,r.jsxs)(n.td,{children:["Output parameter. A ",(0,r.jsx)(n.code,{children:"DataFrame"})," with the key columns ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"link"}),", ",(0,r.jsx)(n.code,{children:"published"})," and ",(0,r.jsx)(n.code,{children:"summary"}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"rss-reader",children:"RSS Reader"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component fetches and parses RSS feeds from any valid RSS feed URL, and then returns the feed content as a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing article titles, links, publication dates, and summaries."]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component must be connected to a component that accepts ",(0,r.jsx)(n.code,{children:"DataFrame"})," input.\nYou can connect the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component directly to a compatible component, or you can use a ",(0,r.jsx)(n.a,{href:"/components-processing",children:"processing component"})," to convert or extract data of a different type between components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," output directly."]}),"\n",(0,r.jsx)(n.h3,{id:"rss-reader-parameters",children:"RSS Reader parameters"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"rss_url"}),(0,r.jsx)(n.td,{children:"RSS Feed URL"}),(0,r.jsxs)(n.td,{children:["Input parameter. URL of the RSS feed to parse, such as ",(0,r.jsx)(n.code,{children:"https://rss.nytimes.com/services/xml/rss/nyt/HomePage.xml"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsxs)(n.td,{children:["Input parameter. Timeout for the RSS feed request in seconds. Default: ",(0,r.jsx)(n.code,{children:"5"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"articles"}),(0,r.jsx)(n.td,{children:"Articles"}),(0,r.jsxs)(n.td,{children:["Output parameter. A ",(0,r.jsx)(n.code,{children:"DataFrame"})," containing the key columns ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"link"}),", ",(0,r.jsx)(n.code,{children:"published"})," and ",(0,r.jsx)(n.code,{children:"summary"}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"sql-database",children:"SQL Database"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component executes SQL queries on ",(0,r.jsx)(n.a,{href:"https://docs.sqlalchemy.org/en/20/",children:"SQLAlchemy-compatible databases"}),".\nIt supports any SQLAlchemy-compatible database, such as PostgreSQL, MySQL, and SQLite."]}),"\n",(0,r.jsxs)(n.p,{children:["For CQL queries, see the ",(0,r.jsxs)(n.a,{href:"/bundles-datastax",children:[(0,r.jsx)(n.strong,{children:"DataStax"})," bundle"]}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"query-an-sql-database-with-natural-language-prompts",children:"Query an SQL database with natural language prompts"}),"\n",(0,r.jsxs)(n.p,{children:["The following example demonstrates how to use the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component in a flow, and then modify the component to support natural language queries through an ",(0,r.jsx)(n.strong,{children:"Agent"})," component."]}),"\n",(0,r.jsxs)(n.p,{children:["This allows you to use the same ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component for any query, rather than limiting it to a single manually entered query or requiring the user, application, or another component to provide valid SQL syntax as input.\nUsers don't need to master SQL syntax because the ",(0,r.jsx)(n.strong,{children:"Agent"})," component translates the users' natural language prompts into SQL queries, passes the query to the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component, and then returns the results to the user."]}),"\n",(0,r.jsx)(n.p,{children:"Additionally, input from applications and other components doesn't have to be extracted and transformed to exact SQL queries.\nInstead, you only need to provide enough context for the agent to understand that it should create and run a SQL query according to the incoming data."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Use your own sample database or create a test database."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Create a test SQL database"}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Create a database called ",(0,r.jsx)(n.code,{children:"test.db"}),":"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"sqlite3 ",props:{style:{color:"#FFA657"}}},{content:"test.db",props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add some values to the database:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"sqlite3 ",props:{style:{color:"#FFA657"}}},{content:'test.db "',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"CREATE TABLE users (",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    id INTEGER PRIMARY KEY,",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    name TEXT,",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    email TEXT,",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    age INTEGER",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:");",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"INSERT INTO users (name, email, age) VALUES",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    ('John Doe', 'john@example.com', 30),",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    ('Jane Smith', 'jane@example.com', 25),",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    ('Bob Johnson', 'bob@example.com', 35);",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Verify that the database has been created and contains your data:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"sqlite3 ",props:{style:{color:"#FFA657"}}},{content:'test.db "SELECT * FROM users;"',props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,r.jsx)(n.p,{children:"The result should list the text data you entered in the previous step:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"1",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"John ",props:{style:{color:"#FFA657"}}},{content:"Doe",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"john@example.com",props:{style:{color:"#FFA657"}}}]},{tokens:[{content:"2",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"Jane ",props:{style:{color:"#FFA657"}}},{content:"Smith",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"jane@example.com",props:{style:{color:"#FFA657"}}}]},{tokens:[{content:"3",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"John ",props:{style:{color:"#FFA657"}}},{content:"Doe",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"john@example.com",props:{style:{color:"#FFA657"}}}]},{tokens:[{content:"4",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"Jane ",props:{style:{color:"#FFA657"}}},{content:"Smith",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"jane@example.com",props:{style:{color:"#FFA657"}}}]}],lang:"shell"},annotations:[]}]}),"\n"]}),"\n"]})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add an ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component to your flow."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"Database URL"})," field, add the connection string for your database, such as ",(0,r.jsx)(n.code,{children:"sqlite:///test.db"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["At this point, you can enter an SQL query in the ",(0,r.jsx)(n.strong,{children:"SQL Query"})," field or use the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-ports",children:"port"})," to pass a query from another component, such as a ",(0,r.jsx)(n.strong,{children:"Chat Input"})," component.\nIf you need more space, click ",(0,r.jsx)(i.A,{name:"Expand","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Expand"})," to open a full-screen text field."]}),"\n",(0,r.jsxs)(n.p,{children:["However, to make this component more dynamic in an agentic context, use an ",(0,r.jsx)(n.strong,{children:"Agent"})," component to transform natural language input to SQL queries, as explained in the following steps."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component to expose the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then enable ",(0,r.jsx)(n.strong,{children:"Tool Mode"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["You can now use this component as a tool for an agent.\nIn ",(0,r.jsx)(n.strong,{children:"Tool Mode"}),", no query is set in the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component because the agent will generate and send one if it determines that the tool is required to complete the user's request.\nFor more information, see ",(0,r.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add an ",(0,r.jsx)(n.strong,{children:"Agent"})," component to your flow, and then enter your OpenAI API key."]}),"\n",(0,r.jsxs)(n.p,{children:["The default model is an OpenAI model.\nIf you want to use a different model, edit the ",(0,r.jsx)(n.strong,{children:"Model Provider"}),", ",(0,r.jsx)(n.strong,{children:"Model Name"}),", and ",(0,r.jsx)(n.strong,{children:"API Key"})," fields accordingly."]}),"\n",(0,r.jsxs)(n.p,{children:["If you need to execute highly specialized queries, consider selecting a model that is trained for tasks like advanced SQL queries.\nIf your preferred model isn't in the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's built-in model list, select the ",(0,r.jsx)(n.strong,{children:"Custom"})," model provider, and then use a ",(0,r.jsxs)(n.a,{href:"/components-models",children:[(0,r.jsx)(n.strong,{children:"Language Model"})," component"]})," to attach a specific model."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Connect the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component's ",(0,r.jsx)(n.strong,{children:"Toolset"})," output to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," input."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"SQL database connected to agent",src:t(52189).A+"",width:"4000",height:"2400"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Playground"}),", and then ask the agent a question about the data in your database, such as ",(0,r.jsx)(n.code,{children:"Which users are in my database?"})]}),"\n",(0,r.jsxs)(n.p,{children:["The agent determines that it needs to query the database to answer the question, uses the LLM to generate an SQL query, and then uses the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component's ",(0,r.jsx)(n.code,{children:"RUN_SQL_QUERY"})," action to run the query on your database.\nFinally, it returns the results in a conversational format, unless you provide instructions to return raw results or a different format."]}),"\n",(0,r.jsx)(n.p,{children:"The following example queried a test database with little data, but with a more robust dataset you could ask more detailed or complex questions."}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Here are the users in your database:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"1. **John Doe** - Email: john@example.com",props:{}}]},{tokens:[{content:"2. **Jane Smith** - Email: jane@example.com",props:{}}]},{tokens:[{content:"3. **John Doe** - Email: john@example.com",props:{}}]},{tokens:[{content:"4. **Jane Smith** - Email: jane@example.com",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"It seems there are duplicate entries for the users.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"sql-database-parameters",children:"SQL Database parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Some ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"database_url"}),(0,r.jsx)(n.td,{children:"Database URL"}),(0,r.jsx)(n.td,{children:"Input parameter. The SQLAlchemy-compatible database connection URL."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query"}),(0,r.jsx)(n.td,{children:"SQL Query"}),(0,r.jsxs)(n.td,{children:["Input parameter. The SQL query to execute, which can be entered directly, passed in from another component, or, in ",(0,r.jsx)(n.strong,{children:"Tool Mode"}),", automatically provided by an ",(0,r.jsx)(n.strong,{children:"Agent"})," component."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"include_columns"}),(0,r.jsx)(n.td,{children:"Include Columns"}),(0,r.jsxs)(n.td,{children:["Input parameter. If enabled, includes column names in the result. The default is enabled (",(0,r.jsx)(n.code,{children:"true"}),")."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"add_error"}),(0,r.jsx)(n.td,{children:"Add Error"}),(0,r.jsxs)(n.td,{children:["Input parameter. If enabled, adds any error messages to the result, if any are returned. The default is disabled (",(0,r.jsx)(n.code,{children:"false"}),")."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"run_sql_query"}),(0,r.jsx)(n.td,{children:"Result Table"}),(0,r.jsxs)(n.td,{children:["Output parameter. The query results as a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"url",children:"URL"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"URL"})," component fetches content from one or more URLs, processes the content, and returns it in various formats.\nIt follows links recursively to a given depth, and it supports output in plain text or raw HTML."]}),"\n",(0,r.jsx)(n.h3,{id:"url-parameters",children:"URL parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"URL"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"Some of the available parameters include the following:"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"urls"}),(0,r.jsx)(n.td,{children:"URLs"}),(0,r.jsxs)(n.td,{children:["Input parameter. One or more URLs to crawl recursively. In the visual editor, click ",(0,r.jsx)(i.A,{name:"Plus","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Add URL"})," to add multiple URLs."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"max_depth"}),(0,r.jsx)(n.td,{children:"Depth"}),(0,r.jsx)(n.td,{children:'Input parameter. Controls link traversal: how many "clicks" away from the initial page the crawler will go. A depth of 1 limits the crawl to the first page at the given URL only. A depth of 2 means the crawler crawls the first page plus each page directly linked from the first page, then stops. This setting exclusively controls link traversal; it doesn\'t limit the number of URL path segments or the domain.'})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"prevent_outside"}),(0,r.jsx)(n.td,{children:"Prevent Outside"}),(0,r.jsx)(n.td,{children:"Input parameter. If enabled, only crawls URLs within the same domain as the root URL. This prevents the crawler from accessing sites outside the given URL's domain, even if they are linked from one of the crawled pages."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"use_async"}),(0,r.jsx)(n.td,{children:"Use Async"}),(0,r.jsx)(n.td,{children:"Input parameter. If enabled, uses asynchronous loading which can be significantly faster but might use more system resources."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"format"}),(0,r.jsx)(n.td,{children:"Output Format"}),(0,r.jsxs)(n.td,{children:["Input parameter. Sets the desired output format as ",(0,r.jsx)(n.strong,{children:"Text"})," or ",(0,r.jsx)(n.strong,{children:"HTML"}),". The default is ",(0,r.jsx)(n.strong,{children:"Text"}),". For more information, see ",(0,r.jsx)(n.a,{href:"#url-output",children:"URL output"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsx)(n.td,{children:"Input parameter. Timeout for the request in seconds."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"headers"}),(0,r.jsx)(n.td,{children:"Headers"}),(0,r.jsx)(n.td,{children:"Input parameter. The headers to send with the request if needed for authentication or otherwise."})]})]})]}),"\n",(0,r.jsx)(n.p,{children:"Additional input parameters are available for error handling and encoding."}),"\n",(0,r.jsx)(n.h3,{id:"url-output",children:"URL output"}),"\n",(0,r.jsxs)(n.p,{children:["There are two settings that control the output of the ",(0,r.jsx)(n.strong,{children:"URL"})," component at different stages:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Output Format"}),": This optional parameter controls the content extracted from the crawled pages:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Text (default)"}),": The component extracts only the text from the HTML of the crawled pages."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"HTML"}),": The component extracts the entire raw HTML content of the crawled pages."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Output data type"}),": In the component's output field (near the output port) you can select the structure of the outgoing data when it is passed to other components:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Extracted Pages"}),": Outputs a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," that breaks the crawled pages into columns for the entire page content (",(0,r.jsx)(n.code,{children:"text"}),") and metadata like ",(0,r.jsx)(n.code,{children:"url"})," and ",(0,r.jsx)(n.code,{children:"title"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Raw Content"}),": Outputs a ",(0,r.jsx)(n.a,{href:"/data-types#message",children:(0,r.jsx)(n.code,{children:"Message"})})," containing the entire text or HTML from the crawled pages, including metadata, in a single block of text."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"URL"})," component must be connected to a component that accepts the selected output data type (",(0,r.jsx)(n.code,{children:"DataFrame"})," or ",(0,r.jsx)(n.code,{children:"Message"}),").\nYou can connect the ",(0,r.jsx)(n.strong,{children:"URL"})," component directly to a compatible component, or you can use a ",(0,r.jsxs)(n.a,{href:"/components-processing#type-convert",children:[(0,r.jsx)(n.strong,{children:"Type Convert"})," component"]})," to convert the output to another type before passing the data to other components if the data types aren't directly compatible."]}),"\n",(0,r.jsxs)(n.p,{children:["Processing components, like the ",(0,r.jsx)(n.strong,{children:"Type Convert"})," component, are useful with the ",(0,r.jsx)(n.strong,{children:"URL"})," component because it can extract a large amount of data from the crawled pages.\nFor example, if you only want to pass specific fields to other components, you can use a ",(0,r.jsxs)(n.a,{href:"/components-processing#parser",children:[(0,r.jsx)(n.strong,{children:"Parser"})," component"]})," to extract only that data from the crawled pages before passing the data to other components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"URL"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"URL"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," or ",(0,r.jsx)(n.code,{children:"Message"})," output directly."]}),"\n",(0,r.jsx)(n.h2,{id:"web-search",children:"Web Search"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Web Search"})," component performs a basic web search using DuckDuckGo's HTML scraping interface.\nFor other search APIs, see ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"Bundles"}),"."]}),"\n",(0,r.jsxs)(n.admonition,{type:"important",children:[(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Web Search"})," component uses web scraping that can be subject to rate limits."]}),(0,r.jsxs)(n.p,{children:["For production use, consider using another search component with more robust API support, such as a provider-specific ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"bundle"}),"."]})]}),"\n",(0,r.jsx)(n.h3,{id:"use-the-web-search-component-in-a-flow",children:"Use the Web Search component in a flow"}),"\n",(0,r.jsxs)(n.p,{children:["The following steps demonstrate one way that you can use a ",(0,r.jsx)(n.strong,{children:"Web Search"})," component in a flow:"]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Create a flow based on the ",(0,r.jsxs)(n.a,{href:"/basic-prompting",children:[(0,r.jsx)(n.strong,{children:"Basic Prompting"})," template"]}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add a ",(0,r.jsx)(n.strong,{children:"Web Search"})," component, and then enter a search query, such as ",(0,r.jsx)(n.code,{children:"environmental news"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add a ",(0,r.jsxs)(n.a,{href:"/components-processing#type-convert",children:[(0,r.jsx)(n.strong,{children:"Type Convert"})," component"]}),", set the ",(0,r.jsx)(n.strong,{children:"Output Type"})," to ",(0,r.jsx)(n.strong,{children:"Message"}),", and then connect the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component's output to the ",(0,r.jsx)(n.strong,{children:"Type Convert"})," component's input."]}),"\n",(0,r.jsxs)(n.p,{children:["By default, the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component outputs a ",(0,r.jsx)(n.code,{children:"DataFrame"}),".\nBecause the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component only accepts ",(0,r.jsx)(n.code,{children:"Message"})," data, this conversion is required so that the flow can pass the search results to the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component.\nFor more information, see ",(0,r.jsx)(n.a,{href:"#web-search-output",children:"Web Search output"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component's ",(0,r.jsx)(n.strong,{children:"Template"})," field, add a variable like ",(0,r.jsx)(n.code,{children:"{searchresults}"})," or ",(0,r.jsx)(n.code,{children:"{context}"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["This adds a field to the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component that you can use to pass the converted search results to the prompt."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Connect the ",(0,r.jsx)(n.strong,{children:"Type Convert"})," component's output to the new variable field on the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"Type convert web search output to chat",src:t(42547).A+"",width:"4000",height:"1826"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"Language Model"})," component, add your OpenAI API key, or select a different provider and model."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Playground"}),", and then enter ",(0,r.jsx)(n.code,{children:"latest news"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The LLM processes the request, including the context passed through the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component, and then prints the response in the ",(0,r.jsx)(n.strong,{children:"Playground"})," chat interface."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Result"}),(0,r.jsx)(n.p,{children:"The following is an example of a possible response.\nYour response may vary based on the current state of the web, your specific query, the model, and other factors."}),(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Here are some of the latest news articles related to the environment:",props:{}}]},{tokens:[{content:"Ozone Pollution and Global Warming: A recent study highlights that ozone pollution is a significant global environmental concern, threatening human health and crop production while exacerbating global warming. Read more",props:{}}]},{tokens:[{content:"...",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"web-search-parameters",children:"Web Search parameters"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query"}),(0,r.jsx)(n.td,{children:"Search Query"}),(0,r.jsx)(n.td,{children:"Input parameter. Keywords to search for."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsxs)(n.td,{children:["Input parameter. Timeout for the web search request in seconds. Default: ",(0,r.jsx)(n.code,{children:"5"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"results"}),(0,r.jsx)(n.td,{children:"Search Results"}),(0,r.jsxs)(n.td,{children:["Output parameter. Returns a ",(0,r.jsx)(n.code,{children:"DataFrame"})," containing ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"links"}),", and ",(0,r.jsx)(n.code,{children:"snippets"}),". For more information, see ",(0,r.jsx)(n.a,{href:"#web-search-output",children:"Web Search output"}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h3,{id:"web-search-output",children:"Web Search output"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Web Search"})," component outputs a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing the key columns ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"links"}),", and ",(0,r.jsx)(n.code,{children:"snippets"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component must be connected to a component that accepts ",(0,r.jsx)(n.code,{children:"DataFrame"})," input, or you must use a ",(0,r.jsxs)(n.a,{href:"/components-processing#type-convert",children:[(0,r.jsx)(n.strong,{children:"Type Convert"})," component"]})," to convert the output to ",(0,r.jsx)(n.code,{children:"Data"})," or ",(0,r.jsx)(n.code,{children:"Message"})," type before passing the data to other components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," output directly."]}),"\n",(0,r.jsx)(n.h2,{id:"webhook",children:"Webhook"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Webhook"})," component defines a webhook trigger that runs a flow when it receives an HTTP POST request."]}),"\n",(0,r.jsx)(n.h3,{id:"trigger-the-webhook",children:"Trigger the webhook"}),"\n",(0,r.jsxs)(n.p,{children:["When you add a ",(0,r.jsx)(n.strong,{children:"Webhook"})," component to your flow, a ",(0,r.jsx)(n.strong,{children:"Webhook cURL"})," tab is added to the flow's ",(0,r.jsxs)(n.a,{href:"/concepts-publish#api-access",children:[(0,r.jsx)(n.strong,{children:"API Access"})," pane"]}),".\nThis tab automatically generates an HTTP POST request code snippet that you can use to trigger your flow through the ",(0,r.jsx)(n.strong,{children:"Webhook"})," component.\nFor example:"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "http://',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/webhook/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:"'Content-Type: application/json' ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:"'x-api-key: $LANGFLOW_API_KEY' ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -d ",props:{style:{color:"#79C0FF"}}},{content:'\'{"any": "data"}\'',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(n.p,{children:["For more information, see ",(0,r.jsx)(n.a,{href:"/webhook",children:"Trigger flows with webhooks"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"webhook-parameters",children:"Webhook parameters"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"data"}),(0,r.jsx)(n.td,{children:"Payload"}),(0,r.jsx)(n.td,{children:"Input parameter. Receives a payload from external systems through HTTP POST requests."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"curl"}),(0,r.jsx)(n.td,{children:"cURL"}),(0,r.jsx)(n.td,{children:"Input parameter. The cURL command template for making requests to this webhook."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"endpoint"}),(0,r.jsx)(n.td,{children:"Endpoint"}),(0,r.jsx)(n.td,{children:"Input parameter. The endpoint URL where this webhook receives requests."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"output_data"}),(0,r.jsx)(n.td,{children:"Data"}),(0,r.jsxs)(n.td,{children:["Output parameter. The processed data from the webhook input. Returns an empty ",(0,r.jsx)(n.a,{href:"/data-types#data",children:(0,r.jsx)(n.code,{children:"Data"})})," object if no input is provided. If the input is not valid JSON, the ",(0,r.jsx)(n.strong,{children:"Webhook"})," component wraps it in a ",(0,r.jsx)(n.code,{children:"payload"})," object so that it can be accepted as input to trigger the flow."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"additional-data-components",children:"Additional data components"}),"\n",(0,r.jsx)(n.p,{children:"Langflow's core components are meant to be generic and support a range of use cases.\nCore components are typically not limited to a single provider."}),"\n",(0,r.jsxs)(n.p,{children:["If the core data components don't meet your needs, you can find provider-specific components in the ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:(0,r.jsx)(n.strong,{children:"Bundles"})})," section of the ",(0,r.jsx)(n.strong,{children:"Components"})," menu."]}),"\n",(0,r.jsxs)(n.p,{children:["For example, the ",(0,r.jsxs)(n.a,{href:"/bundles-datastax",children:[(0,r.jsx)(n.strong,{children:"DataStax"})," bundle"]})," includes components for CQL queries, and the ",(0,r.jsxs)(n.a,{href:"/bundles-google",children:[(0,r.jsx)(n.strong,{children:"Google"})," bundle"]})," includes components for Google Search APIs."]}),"\n",(0,r.jsx)(n.h2,{id:"legacy-data-components",children:"Legacy data components"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Load CSV"})," and ",(0,r.jsx)(n.strong,{children:"Load JSON"})," components are legacy components.\nYou can still use them in your flows, but they are no longer maintained and can be removed in a future release."]}),"\n",(0,r.jsxs)(n.p,{children:["Replace these components with the ",(0,r.jsx)(n.strong,{children:"File"})," component, which supports loading CSV and JSON files, as well as many other file types."]}),"\n",(0,r.jsx)(n.h2,{id:"see-also",children:"See also"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/bundles-google",children:"Google components"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/integrations-composio",children:"Composio components"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"File management"})}),"\n"]})]})}function j(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}function m(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},17886:(e,n,t)=>{t.d(n,{A:()=>o});t(96540);var s=t(64058),r=t(74848);function o({name:e,...n}){const t=s[e];return t?(0,r.jsx)(t,{...n}):null}},42547:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/component-type-convert-and-web-search-1eef7b9a7c1a243f4a08d9717728d0e1.png"},52189:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/component-sql-database-3d2c985aee2dd9970874cb85e1d2b570.png"},84987:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/connect-data-components-to-agent-a8cd8c94d0474ae434aeb5d507a803e8.png"}}]);
\ No newline at end of file
diff --git a/assets/js/7f193c41.c688af74.js b/assets/js/7f193c41.c688af74.js
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--- a/assets/js/7f193c41.c688af74.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[5761],{14876:(e,n,t)=>{t.r(n),t.d(n,{CH:()=>h,assets:()=>l,chCodeConfig:()=>p,contentTitle:()=>c,default:()=>j,frontMatter:()=>i,metadata:()=>s,toc:()=>x});const s=JSON.parse('{"id":"Components/components-data","title":"Data","description":"You can use Langflow\'s data components to bring data into your flows from various sources like files, API endpoints, and URLs.","source":"@site/docs/Components/components-data.mdx","sourceDirName":"Components","slug":"/components-data","permalink":"/components-data","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Data","slug":"/components-data"},"sidebar":"docs","previous":{"title":"Embedding Model","permalink":"/components-embedding-models"},"next":{"title":"Vector Stores","permalink":"/components-vector-stores"}}');var r=t(74848),o=t(28453),a=t(24754),d=t(17886);const i={title:"Data",slug:"/components-data"},c=void 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n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,o.R)(),...e.components},{Details:s}=n;return h||m("CH",!1),h.Code||m("CH.Code",!0),s||m("Details",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: 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",(0,r.jsx)(n.a,{href:"#file",children:(0,r.jsx)(n.strong,{children:"File"})})," and ",(0,r.jsx)(n.a,{href:"#directory",children:(0,r.jsx)(n.strong,{children:"Directory"})})," components."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Search the web"}),": Fetch data from the web with components like the ",(0,r.jsx)(n.a,{href:"#news-search",children:(0,r.jsx)(n.strong,{children:"News Search"})}),", ",(0,r.jsx)(n.a,{href:"#rss-reader",children:(0,r.jsx)(n.strong,{children:"RSS Reader"})}),", ",(0,r.jsx)(n.a,{href:"#web-search",children:(0,r.jsx)(n.strong,{children:"Web Search"})}),", and ",(0,r.jsx)(n.a,{href:"#url",children:(0,r.jsx)(n.strong,{children:"URL"})})," components."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Make API calls"}),": Use APIs to trigger flows or perform actions with the ",(0,r.jsx)(n.a,{href:"#api-request",children:(0,r.jsx)(n.strong,{children:"API Request"})})," and ",(0,r.jsx)(n.a,{href:"#webhook",children:(0,r.jsx)(n.strong,{children:"Webhook"})})," components."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Run SQL queries"}),": Query an SQL database with the ",(0,r.jsx)(n.a,{href:"#sql-database",children:(0,r.jsx)(n.strong,{children:"SQL Database"})})," component."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"Each component runs different commands for retrieval, processing, and type checking.\nSome components are a minimal wrapper for a command that you provide, and others include built-in scripts to fetch and process data based on variable inputs.\nAdditionally, some components return raw data, whereas others can convert, restructure, or validate the data before outputting it.\nThis means that some similar components might produce different results."}),"\n",(0,r.jsxs)(n.admonition,{type:"tip",children:[(0,r.jsxs)(n.p,{children:["Data components pair well with ",(0,r.jsx)(n.a,{href:"/components-processing",children:"processing components"})," that can perform additional parsing, transformation, and validation after retrieving the data."]}),(0,r.jsxs)(n.p,{children:["This can include basic operations, like saving a file in a specific format, or more complex tasks, like using a ",(0,r.jsx)(n.strong,{children:"Text Splitter"})," component to break down a large document into smaller chunks before generating embeddings for vector search."]})]}),"\n",(0,r.jsx)(n.h2,{id:"use-data-components-in-flows",children:"Use data components in flows"}),"\n",(0,r.jsx)(n.p,{children:"Data components are used often in flows because they offer a versatile way to perform common, basic functions."}),"\n",(0,r.jsxs)(n.p,{children:["You can use data components to perform their base functions as isolated steps in your flow, or you can connect them to an ",(0,r.jsx)(n.strong,{children:"Agent"})," component as tools."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"An agentic flow with three data components connected to the agent as tools",src:t(84987).A+"",width:"4000",height:"3028"})}),"\n",(0,r.jsx)(n.p,{children:"For examples of data components in flows, see the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"/chat-with-files",children:"Create a chatbot that can ingest files"}),": Learn how to use a ",(0,r.jsx)(n.strong,{children:"File"})," component to load a file as context for a chatbot.\nThe file and user input are both passed to the LLM so you can ask questions about the file you uploaded."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"/chat-with-rag",children:"Create a vector RAG chatbot"}),": Learn how to ingest files for use in Retrieval-Augmented Generation (RAG), and then set up a 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sends an HTTP requests using URLs or curl commands:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"URL mode"}),": Enter one or more comma-separated URLs, and then select the method for the request to each URL."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"curl mode"}),": Enter the curl command to execute."]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"You can enable additional request options and fields in the component's parameters."}),"\n",(0,r.jsxs)(n.p,{children:["Returns a ",(0,r.jsxs)(n.a,{href:"/data-types#data",children:[(0,r.jsx)(n.code,{children:"Data"})," object"]})," containing the response."]}),"\n",(0,r.jsxs)(n.p,{children:["For provider-specific API components, see ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"Bundles"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"api-request-parameters",children:"API Request parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"API 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Set the mode to either ",(0,r.jsx)(n.strong,{children:"URL"})," or ",(0,r.jsx)(n.strong,{children:"curl"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"urls"}),(0,r.jsx)(n.td,{children:"URL"}),(0,r.jsx)(n.td,{children:"Input parameter. Enter one or more comma-separated URLs for the request."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"curl"}),(0,r.jsx)(n.td,{children:"cURL"}),(0,r.jsxs)(n.td,{children:["Input parameter. ",(0,r.jsx)(n.strong,{children:"curl mode"})," only. Enter a complete curl command. Other component parameters are populated from the command arguments."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"method"}),(0,r.jsx)(n.td,{children:"Method"}),(0,r.jsx)(n.td,{children:"Input parameter. The HTTP method to use."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query_params"}),(0,r.jsx)(n.td,{children:"Query Parameters"}),(0,r.jsx)(n.td,{children:"Input parameter. The query parameters to append to the URL."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"body"}),(0,r.jsx)(n.td,{children:"Body"}),(0,r.jsx)(n.td,{children:"Input parameter. The body to send with POST, PATCH, and PUT requests as a dictionary."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"headers"}),(0,r.jsx)(n.td,{children:"Headers"}),(0,r.jsx)(n.td,{children:"Input parameter. The headers to send with the request as a dictionary."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsx)(n.td,{children:"Input parameter. The timeout to use for the request."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"follow_redirects"}),(0,r.jsx)(n.td,{children:"Follow Redirects"}),(0,r.jsx)(n.td,{children:"Input parameter. Whether to follow http redirects. Default: Enabled/true"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"save_to_file"}),(0,r.jsx)(n.td,{children:"Save to File"}),(0,r.jsx)(n.td,{children:"Input parameter. Whether to save the API response to a temporary file. Default: Disabled/false"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"include_httpx_metadata"}),(0,r.jsx)(n.td,{children:"Include HTTPx Metadata"}),(0,r.jsxs)(n.td,{children:["Input parameter. Whether to include properties such as ",(0,r.jsx)(n.code,{children:"headers"}),", ",(0,r.jsx)(n.code,{children:"status_code"}),", ",(0,r.jsx)(n.code,{children:"response_headers"}),", and ",(0,r.jsx)(n.code,{children:"redirection_history"})," in the output. Default: Disabled/false"]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"directory",children:"Directory"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Directory"})," component recursively loads files from a directory, with options for file types, depth, and concurrency."]}),"\n",(0,r.jsxs)(n.p,{children:["Files must be of a ",(0,r.jsx)(n.a,{href:"#file-type-and-size-limits",children:"supported type and size"})," to be loaded."]}),"\n",(0,r.jsxs)(n.p,{children:["Outputs either a ",(0,r.jsx)(n.a,{href:"/data-types#data",children:(0,r.jsx)(n.code,{children:"Data"})})," or ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," object, depending on the directory contents."]}),"\n",(0,r.jsx)(n.h3,{id:"directory-parameters",children:"Directory parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Many ",(0,r.jsx)(n.strong,{children:"Directory"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(d.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Type"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"path"}),(0,r.jsx)(n.td,{children:"MessageTextInput"}),(0,r.jsxs)(n.td,{children:["Input parameter. The path to the directory to load files from. Default: Current directory (",(0,r.jsx)(n.code,{children:"."}),")"]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"types"}),(0,r.jsx)(n.td,{children:"MessageTextInput"}),(0,r.jsx)(n.td,{children:"Input parameter. The file types to load. Select one or more, or leave empty to attempt to load all files."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"depth"}),(0,r.jsx)(n.td,{children:"IntInput"}),(0,r.jsx)(n.td,{children:"Input parameter. The depth to search for files."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"max_concurrency"}),(0,r.jsx)(n.td,{children:"IntInput"}),(0,r.jsx)(n.td,{children:"Input parameter. The maximum concurrency for loading multiple files."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"load_hidden"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, hidden files are loaded."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"recursive"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, the search is recursive."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"silent_errors"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, errors do not raise an exception."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"use_multithreading"}),(0,r.jsx)(n.td,{children:"BoolInput"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, multithreading is used."})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"file",children:"File"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"File"})," component loads and parses files, converts the content into a ",(0,r.jsx)(n.code,{children:"Data"}),", ",(0,r.jsx)(n.code,{children:"DataFrame"}),", or ",(0,r.jsx)(n.code,{children:"Message"})," object.\nIt supports multiple file types and provides parameters for parallel processing and error handling."]}),"\n",(0,r.jsxs)(n.p,{children:["You can add files to the ",(0,r.jsx)(n.strong,{children:"File"})," component in the visual editor or at runtime, and you can upload multiple files at once.\nFor more information about uploading files and working with files in flows, see ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"File management"})," and ",(0,r.jsx)(n.a,{href:"/chat-with-files",children:"Create a chatbot that can ingest files"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"file-type-and-size-limits",children:"File type and size limits"}),"\n",(0,r.jsxs)(n.p,{children:["By default, the maximum file size is 100 MB.\nTo modify this value, change the ",(0,r.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_MAX_FILE_SIZE_UPLOAD",children:[(0,r.jsx)(n.code,{children:"--max-file-size-upload"})," environment variable"]}),"."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Supported file types"}),(0,r.jsxs)(n.p,{children:["The following file types are supported by the ",(0,r.jsx)(n.strong,{children:"File"})," component.\nUse archive and compressed formats to bundle multiple files together, or use the ",(0,r.jsxs)(n.a,{href:"#directory",children:[(0,r.jsx)(n.strong,{children:"Directory"})," component"]})," to load all files in a directory."]}),(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".bz2"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".csv"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".docx"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".gz"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".htm"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".html"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".json"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".js"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".md"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".mdx"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".pdf"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".py"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".sh"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".sql"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".tar"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".tgz"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".ts"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".tsx"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".txt"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".xml"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".yaml"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".yml"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.code,{children:".zip"})}),"\n"]})]}),"\n",(0,r.jsx)(n.p,{children:"If you need to load an unsupported file type, you must use a different component that supports that file type and, potentially, parses it outside Langflow, or you must convert it to a supported type before uploading it."}),"\n",(0,r.jsxs)(n.p,{children:["For images, see ",(0,r.jsx)(n.a,{href:"/concepts-file-management#upload-images",children:"Upload images"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["For videos, see the ",(0,r.jsx)(n.strong,{children:"Twelve Labs"})," and ",(0,r.jsx)(n.strong,{children:"YouTube"})," ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"bundles"})," in the Langflow ",(0,r.jsx)(n.strong,{children:"Components"})," menu."]}),"\n",(0,r.jsx)(n.h3,{id:"file-parameters",children:"File parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"File"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(d.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"path"}),(0,r.jsx)(n.td,{children:"Files"}),(0,r.jsxs)(n.td,{children:["Input parameter. The path to files to load. Can be local or in ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"Langflow file management"}),". Supports individual files and bundled archives."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"file_path"}),(0,r.jsx)(n.td,{children:"Server File Path"}),(0,r.jsxs)(n.td,{children:["Input parameter. A ",(0,r.jsx)(n.code,{children:"Data"})," object with a ",(0,r.jsx)(n.code,{children:"file_path"})," property pointing to a file in ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"Langflow file management"})," or a ",(0,r.jsx)(n.code,{children:"Message"})," object with a path to the file. Supersedes ",(0,r.jsx)(n.strong,{children:"Files"})," (",(0,r.jsx)(n.code,{children:"path"}),") but supports the same file types."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"separator"}),(0,r.jsx)(n.td,{children:"Separator"}),(0,r.jsxs)(n.td,{children:["Input parameter. The separator to use between multiple outputs in ",(0,r.jsx)(n.code,{children:"Message"})," format."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"silent_errors"}),(0,r.jsx)(n.td,{children:"Silent Errors"}),(0,r.jsx)(n.td,{children:"Input parameter. If true, errors in the component don't raise an exception. The default is false/disabled."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"delete_server_file_after_processing"}),(0,r.jsx)(n.td,{children:"Delete Server File After Processing"}),(0,r.jsxs)(n.td,{children:["Input parameter. If true (default), the ",(0,r.jsx)(n.strong,{children:"Server File Path"})," (",(0,r.jsx)(n.code,{children:"file_path"}),") is deleted after processing."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"ignore_unsupported_extensions"}),(0,r.jsx)(n.td,{children:"Ignore Unsupported Extensions"}),(0,r.jsxs)(n.td,{children:["Input parameter. If true/enabled (default), files with unsupported extensions are accepted but not processed. If false/disabled, the ",(0,r.jsx)(n.strong,{children:"File"})," component either can throw an error if an unsupported file type is provided."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"ignore_unspecified_files"}),(0,r.jsx)(n.td,{children:"Ignore Unspecified Files"}),(0,r.jsxs)(n.td,{children:["Input parameter. If true, ",(0,r.jsx)(n.code,{children:"Data"})," with no ",(0,r.jsx)(n.code,{children:"file_path"})," property is ignored. If false (default), the component errors when a file is not specified."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"concurrency_multithreading"}),(0,r.jsx)(n.td,{children:"Processing Concurrency"}),(0,r.jsx)(n.td,{children:"Input parameter. The number of files to process concurrently if multiple files are uploaded. Default is 1. Values greater than 1 enable parallel processing for 2 or more files."})]})]})]}),"\n",(0,r.jsx)(n.h3,{id:"file-output",children:"File output"}),"\n",(0,r.jsxs)(n.p,{children:["The output of the ",(0,r.jsx)(n.strong,{children:"File"})," component depends on the number and type of files loaded:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"No files"}),": Throws an error or, if ",(0,r.jsx)(n.strong,{children:"Silent Errors"})," is enabled, produces no output."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"One file"}),": Produces one of the following depending on the file type. If multiple types are available, you can select the output type by clicking the output field (near the component's output port)."]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Structured Content"}),": Available for some tabular and structured data.\nFor ",(0,r.jsx)(n.code,{children:".csv"})," files, produces a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," representing the table data.\nFor ",(0,r.jsx)(n.code,{children:".json"})," files, produces a ",(0,r.jsx)(n.a,{href:"/data-types#data",children:(0,r.jsx)(n.code,{children:"Data"})})," object with the parsed JSON data."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Raw Content"}),": A ",(0,r.jsx)(n.a,{href:"/data-types#message",children:(0,r.jsx)(n.code,{children:"Message"})})," containing the file's raw text content."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"File Path"}),": A ",(0,r.jsx)(n.a,{href:"/data-types#message",children:(0,r.jsx)(n.code,{children:"Message"})})," containing the path to the file in ",(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"Langflow file management"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Multiple files"}),": Produces a ",(0,r.jsx)(n.strong,{children:"Files"})," ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing the content and metadata of all selected files."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"news-search",children:"News Search"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"News Search"})," component searches Google News through RSS, and then returns clean article data as a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing article titles, links, publication dates, and summaries.\nThe component's ",(0,r.jsx)(n.code,{children:"clean_html"})," method parses the HTML content with the BeautifulSoup library, removes HTML markup, and strips whitespace to output clean data."]}),"\n",(0,r.jsxs)(n.p,{children:["For other RSS feeds, use the ",(0,r.jsxs)(n.a,{href:"#rss-reader",children:[(0,r.jsx)(n.strong,{children:"RSS Reader"})," component"]}),", and for other searches use the ",(0,r.jsxs)(n.a,{href:"#web-search",children:[(0,r.jsx)(n.strong,{children:"Web Search"})," component"]})," or a provider-specific ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"bundle"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"News Search"})," component must be connected to a component that accepts ",(0,r.jsx)(n.code,{children:"DataFrame"})," input.\nYou can connect the ",(0,r.jsx)(n.strong,{children:"News Search"})," component directly to a compatible component, or you can use a ",(0,r.jsx)(n.a,{href:"/components-processing",children:"processing component"})," to convert or extract data of a different type between components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"News Search"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"News Search"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," output directly."]}),"\n",(0,r.jsx)(n.h3,{id:"news-search-parameters",children:"News Search parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"News Search"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(d.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query"}),(0,r.jsx)(n.td,{children:"Search Query"}),(0,r.jsx)(n.td,{children:"Input parameter. Search keywords for news articles."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"hl"}),(0,r.jsx)(n.td,{children:"Language (hl)"}),(0,r.jsxs)(n.td,{children:["Input parameter. Language code, such as en-US, fr, de. Default: ",(0,r.jsx)(n.code,{children:"en-US"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"gl"}),(0,r.jsx)(n.td,{children:"Country (gl)"}),(0,r.jsxs)(n.td,{children:["Input parameter. Country code, such as US, FR, DE. Default: ",(0,r.jsx)(n.code,{children:"US"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"ceid"}),(0,r.jsxs)(n.td,{children:["Country",":Language"," (ceid)"]}),(0,r.jsxs)(n.td,{children:["Input parameter. Language, such as US",":en",", FR",":fr",". Default: ",(0,r.jsx)(n.code,{children:"US:en"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"topic"}),(0,r.jsx)(n.td,{children:"Topic"}),(0,r.jsxs)(n.td,{children:["Input parameter. One of: ",(0,r.jsx)(n.code,{children:"WORLD"}),", ",(0,r.jsx)(n.code,{children:"NATION"}),", ",(0,r.jsx)(n.code,{children:"BUSINESS"}),", ",(0,r.jsx)(n.code,{children:"TECHNOLOGY"}),", ",(0,r.jsx)(n.code,{children:"ENTERTAINMENT"}),", ",(0,r.jsx)(n.code,{children:"SCIENCE"}),", ",(0,r.jsx)(n.code,{children:"SPORTS"}),", ",(0,r.jsx)(n.code,{children:"HEALTH"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"location"}),(0,r.jsx)(n.td,{children:"Location (Geo)"}),(0,r.jsx)(n.td,{children:"Input parameter. City, state, or country for location-based news. Leave blank for keyword search."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsx)(n.td,{children:"Input parameter. Timeout for the request in seconds."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"articles"}),(0,r.jsx)(n.td,{children:"News Articles"}),(0,r.jsxs)(n.td,{children:["Output parameter. A ",(0,r.jsx)(n.code,{children:"DataFrame"})," with the key columns ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"link"}),", ",(0,r.jsx)(n.code,{children:"published"})," and ",(0,r.jsx)(n.code,{children:"summary"}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"rss-reader",children:"RSS Reader"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component fetches and parses RSS feeds from any valid RSS feed URL, and then returns the feed content as a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing article titles, links, publication dates, and summaries."]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component must be connected to a component that accepts ",(0,r.jsx)(n.code,{children:"DataFrame"})," input.\nYou can connect the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component directly to a compatible component, or you can use a ",(0,r.jsx)(n.a,{href:"/components-processing",children:"processing component"})," to convert or extract data of a different type between components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"RSS Reader"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," output directly."]}),"\n",(0,r.jsx)(n.h3,{id:"rss-reader-parameters",children:"RSS Reader parameters"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"rss_url"}),(0,r.jsx)(n.td,{children:"RSS Feed URL"}),(0,r.jsxs)(n.td,{children:["Input parameter. URL of the RSS feed to parse, such as ",(0,r.jsx)(n.code,{children:"https://rss.nytimes.com/services/xml/rss/nyt/HomePage.xml"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsxs)(n.td,{children:["Input parameter. Timeout for the RSS feed request in seconds. Default: ",(0,r.jsx)(n.code,{children:"5"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"articles"}),(0,r.jsx)(n.td,{children:"Articles"}),(0,r.jsxs)(n.td,{children:["Output parameter. A ",(0,r.jsx)(n.code,{children:"DataFrame"})," containing the key columns ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"link"}),", ",(0,r.jsx)(n.code,{children:"published"})," and ",(0,r.jsx)(n.code,{children:"summary"}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"sql-database",children:"SQL Database"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component executes SQL queries on ",(0,r.jsx)(n.a,{href:"https://docs.sqlalchemy.org/en/20/",children:"SQLAlchemy-compatible databases"}),".\nIt supports any SQLAlchemy-compatible database, such as PostgreSQL, MySQL, and SQLite."]}),"\n",(0,r.jsxs)(n.p,{children:["For CQL queries, see the ",(0,r.jsxs)(n.a,{href:"/bundles-datastax",children:[(0,r.jsx)(n.strong,{children:"DataStax"})," bundle"]}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"query-an-sql-database-with-natural-language-prompts",children:"Query an SQL database with natural language prompts"}),"\n",(0,r.jsxs)(n.p,{children:["The following example demonstrates how to use the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component in a flow, and then modify the component to support natural language queries through an ",(0,r.jsx)(n.strong,{children:"Agent"})," component."]}),"\n",(0,r.jsxs)(n.p,{children:["This allows you to use the same ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component for any query, rather than limiting it to a single manually entered query or requiring the user, application, or another component to provide valid SQL syntax as input.\nUsers don't need to master SQL syntax because the ",(0,r.jsx)(n.strong,{children:"Agent"})," component translates the users' natural language prompts into SQL queries, passes the query to the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component, and then returns the results to the user."]}),"\n",(0,r.jsx)(n.p,{children:"Additionally, input from applications and other components doesn't have to be extracted and transformed to exact SQL queries.\nInstead, you only need to provide enough context for the agent to understand that it should create and run a SQL query according to the incoming data."}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Use your own sample database or create a test database."}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Create a test SQL database"}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Create a database called ",(0,r.jsx)(n.code,{children:"test.db"}),":"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"sqlite3 ",props:{style:{color:"#FFA657"}}},{content:"test.db",props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add some values to the database:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"sqlite3 ",props:{style:{color:"#FFA657"}}},{content:'test.db "',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"CREATE TABLE users (",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    id INTEGER PRIMARY KEY,",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    name TEXT,",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    email TEXT,",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    age INTEGER",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:");",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"INSERT INTO users (name, email, age) VALUES",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    ('John Doe', 'john@example.com', 30),",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    ('Jane Smith', 'jane@example.com', 25),",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    ('Bob Johnson', 'bob@example.com', 35);",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Verify that the database has been created and contains your data:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"sqlite3 ",props:{style:{color:"#FFA657"}}},{content:'test.db "SELECT * FROM users;"',props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,r.jsx)(n.p,{children:"The result should list the text data you entered in the previous step:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"1",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"John ",props:{style:{color:"#FFA657"}}},{content:"Doe",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"john@example.com",props:{style:{color:"#FFA657"}}}]},{tokens:[{content:"2",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"Jane ",props:{style:{color:"#FFA657"}}},{content:"Smith",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"jane@example.com",props:{style:{color:"#FFA657"}}}]},{tokens:[{content:"3",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"John ",props:{style:{color:"#FFA657"}}},{content:"Doe",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"john@example.com",props:{style:{color:"#FFA657"}}}]},{tokens:[{content:"4",props:{style:{color:"#FFA657"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"Jane ",props:{style:{color:"#FFA657"}}},{content:"Smith",props:{style:{color:"#A5D6FF"}}},{content:"|",props:{style:{color:"#FF7B72"}}},{content:"jane@example.com",props:{style:{color:"#FFA657"}}}]}],lang:"shell"},annotations:[]}]}),"\n"]}),"\n"]})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add an ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component to your flow."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"Database URL"})," field, add the connection string for your database, such as ",(0,r.jsx)(n.code,{children:"sqlite:///test.db"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["At this point, you can enter an SQL query in the ",(0,r.jsx)(n.strong,{children:"SQL Query"})," field or use the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-ports",children:"port"})," to pass a query from another component, such as a ",(0,r.jsx)(n.strong,{children:"Chat Input"})," component.\nIf you need more space, click ",(0,r.jsx)(d.A,{name:"Expand","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Expand"})," to open a full-screen text field."]}),"\n",(0,r.jsxs)(n.p,{children:["However, to make this component more dynamic in an agentic context, use an ",(0,r.jsx)(n.strong,{children:"Agent"})," component to transform natural language input to SQL queries, as explained in the following steps."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component to expose the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then enable ",(0,r.jsx)(n.strong,{children:"Tool Mode"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["You can now use this component as a tool for an agent.\nIn ",(0,r.jsx)(n.strong,{children:"Tool Mode"}),", no query is set in the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component because the agent will generate and send one if it determines that the tool is required to complete the user's request.\nFor more information, see ",(0,r.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add an ",(0,r.jsx)(n.strong,{children:"Agent"})," component to your flow, and then enter your OpenAI API key."]}),"\n",(0,r.jsxs)(n.p,{children:["The default model is an OpenAI model.\nIf you want to use a different model, edit the ",(0,r.jsx)(n.strong,{children:"Model Provider"}),", ",(0,r.jsx)(n.strong,{children:"Model Name"}),", and ",(0,r.jsx)(n.strong,{children:"API Key"})," fields accordingly."]}),"\n",(0,r.jsxs)(n.p,{children:["If you need to execute highly specialized queries, consider selecting a model that is trained for tasks like advanced SQL queries.\nIf your preferred model isn't in the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's built-in model list, select the ",(0,r.jsx)(n.strong,{children:"Custom"})," model provider, and then use a ",(0,r.jsxs)(n.a,{href:"/components-models",children:[(0,r.jsx)(n.strong,{children:"Language Model"})," component"]})," to attach a specific model."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Connect the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component's ",(0,r.jsx)(n.strong,{children:"Toolset"})," output to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," input."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"SQL database connected to agent",src:t(52189).A+"",width:"4000",height:"2400"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Playground"}),", and then ask the agent a question about the data in your database, such as ",(0,r.jsx)(n.code,{children:"Which users are in my database?"})]}),"\n",(0,r.jsxs)(n.p,{children:["The agent determines that it needs to query the database to answer the question, uses the LLM to generate an SQL query, and then uses the ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component's ",(0,r.jsx)(n.code,{children:"RUN_SQL_QUERY"})," action to run the query on your database.\nFinally, it returns the results in a conversational format, unless you provide instructions to return raw results or a different format."]}),"\n",(0,r.jsx)(n.p,{children:"The following example queried a test database with little data, but with a more robust dataset you could ask more detailed or complex questions."}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Here are the users in your database:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"1. **John Doe** - Email: john@example.com",props:{}}]},{tokens:[{content:"2. **Jane Smith** - Email: jane@example.com",props:{}}]},{tokens:[{content:"3. **John Doe** - Email: john@example.com",props:{}}]},{tokens:[{content:"4. **Jane Smith** - Email: jane@example.com",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"It seems there are duplicate entries for the users.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"sql-database-parameters",children:"SQL Database parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Some ",(0,r.jsx)(n.strong,{children:"SQL Database"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(d.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"database_url"}),(0,r.jsx)(n.td,{children:"Database URL"}),(0,r.jsx)(n.td,{children:"Input parameter. The SQLAlchemy-compatible database connection URL."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query"}),(0,r.jsx)(n.td,{children:"SQL Query"}),(0,r.jsxs)(n.td,{children:["Input parameter. The SQL query to execute, which can be entered directly, passed in from another component, or, in ",(0,r.jsx)(n.strong,{children:"Tool Mode"}),", automatically provided by an ",(0,r.jsx)(n.strong,{children:"Agent"})," component."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"include_columns"}),(0,r.jsx)(n.td,{children:"Include Columns"}),(0,r.jsxs)(n.td,{children:["Input parameter. If enabled, includes column names in the result. The default is enabled (",(0,r.jsx)(n.code,{children:"true"}),")."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"add_error"}),(0,r.jsx)(n.td,{children:"Add Error"}),(0,r.jsxs)(n.td,{children:["Input parameter. If enabled, adds any error messages to the result, if any are returned. The default is disabled (",(0,r.jsx)(n.code,{children:"false"}),")."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"run_sql_query"}),(0,r.jsx)(n.td,{children:"Result Table"}),(0,r.jsxs)(n.td,{children:["Output parameter. The query results as a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"url",children:"URL"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"URL"})," component fetches content from one or more URLs, processes the content, and returns it in various formats.\nIt follows links recursively to a given depth, and it supports output in plain text or raw HTML."]}),"\n",(0,r.jsx)(n.h3,{id:"url-parameters",children:"URL parameters"}),"\n",(0,r.jsxs)(n.p,{children:["Most ",(0,r.jsx)(n.strong,{children:"URL"})," component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,r.jsx)(d.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Controls"})," in the ",(0,r.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"Some of the available parameters include the following:"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"urls"}),(0,r.jsx)(n.td,{children:"URLs"}),(0,r.jsxs)(n.td,{children:["Input parameter. One or more URLs to crawl recursively. In the visual editor, click ",(0,r.jsx)(d.A,{name:"Plus","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Add URL"})," to add multiple URLs."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"max_depth"}),(0,r.jsx)(n.td,{children:"Depth"}),(0,r.jsx)(n.td,{children:'Input parameter. Controls link traversal: how many "clicks" away from the initial page the crawler will go. A depth of 1 limits the crawl to the first page at the given URL only. A depth of 2 means the crawler crawls the first page plus each page directly linked from the first page, then stops. This setting exclusively controls link traversal; it doesn\'t limit the number of URL path segments or the domain.'})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"prevent_outside"}),(0,r.jsx)(n.td,{children:"Prevent Outside"}),(0,r.jsx)(n.td,{children:"Input parameter. If enabled, only crawls URLs within the same domain as the root URL. This prevents the crawler from accessing sites outside the given URL's domain, even if they are linked from one of the crawled pages."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"use_async"}),(0,r.jsx)(n.td,{children:"Use Async"}),(0,r.jsx)(n.td,{children:"Input parameter. If enabled, uses asynchronous loading which can be significantly faster but might use more system resources."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"format"}),(0,r.jsx)(n.td,{children:"Output Format"}),(0,r.jsxs)(n.td,{children:["Input parameter. Sets the desired output format as ",(0,r.jsx)(n.strong,{children:"Text"})," or ",(0,r.jsx)(n.strong,{children:"HTML"}),". The default is ",(0,r.jsx)(n.strong,{children:"Text"}),". For more information, see ",(0,r.jsx)(n.a,{href:"#url-output",children:"URL output"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsx)(n.td,{children:"Input parameter. Timeout for the request in seconds."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"headers"}),(0,r.jsx)(n.td,{children:"Headers"}),(0,r.jsx)(n.td,{children:"Input parameter. The headers to send with the request if needed for authentication or otherwise."})]})]})]}),"\n",(0,r.jsx)(n.p,{children:"Additional input parameters are available for error handling and encoding."}),"\n",(0,r.jsx)(n.h3,{id:"url-output",children:"URL output"}),"\n",(0,r.jsxs)(n.p,{children:["There are two settings that control the output of the ",(0,r.jsx)(n.strong,{children:"URL"})," component at different stages:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Output Format"}),": This optional parameter controls the content extracted from the crawled pages:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Text (default)"}),": The component extracts only the text from the HTML of the crawled pages."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"HTML"}),": The component extracts the entire raw HTML content of the crawled pages."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Output data type"}),": In the component's output field (near the output port) you can select the structure of the outgoing data when it is passed to other components:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Extracted Pages"}),": Outputs a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," that breaks the crawled pages into columns for the entire page content (",(0,r.jsx)(n.code,{children:"text"}),") and metadata like ",(0,r.jsx)(n.code,{children:"url"})," and ",(0,r.jsx)(n.code,{children:"title"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Raw Content"}),": Outputs a ",(0,r.jsx)(n.a,{href:"/data-types#message",children:(0,r.jsx)(n.code,{children:"Message"})})," containing the entire text or HTML from the crawled pages, including metadata, in a single block of text."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"URL"})," component must be connected to a component that accepts the selected output data type (",(0,r.jsx)(n.code,{children:"DataFrame"})," or ",(0,r.jsx)(n.code,{children:"Message"}),").\nYou can connect the ",(0,r.jsx)(n.strong,{children:"URL"})," component directly to a compatible component, or you can use a ",(0,r.jsxs)(n.a,{href:"/components-processing#type-convert",children:[(0,r.jsx)(n.strong,{children:"Type Convert"})," component"]})," to convert the output to another type before passing the data to other components if the data types aren't directly compatible."]}),"\n",(0,r.jsxs)(n.p,{children:["Processing components, like the ",(0,r.jsx)(n.strong,{children:"Type Convert"})," component, are useful with the ",(0,r.jsx)(n.strong,{children:"URL"})," component because it can extract a large amount of data from the crawled pages.\nFor example, if you only want to pass specific fields to other components, you can use a ",(0,r.jsxs)(n.a,{href:"/components-processing#parser",children:[(0,r.jsx)(n.strong,{children:"Parser"})," component"]})," to extract only that data from the crawled pages before passing the data to other components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"URL"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"URL"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," or ",(0,r.jsx)(n.code,{children:"Message"})," output directly."]}),"\n",(0,r.jsx)(n.h2,{id:"web-search",children:"Web Search"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Web Search"})," component performs a basic web search using DuckDuckGo's HTML scraping interface.\nFor other search APIs, see ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"Bundles"}),"."]}),"\n",(0,r.jsxs)(n.admonition,{type:"important",children:[(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Web Search"})," component uses web scraping that can be subject to rate limits."]}),(0,r.jsxs)(n.p,{children:["For production use, consider using another search component with more robust API support, such as a provider-specific ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:"bundle"}),"."]})]}),"\n",(0,r.jsx)(n.h3,{id:"use-the-web-search-component-in-a-flow",children:"Use the Web Search component in a flow"}),"\n",(0,r.jsxs)(n.p,{children:["The following steps demonstrate one way that you can use a ",(0,r.jsx)(n.strong,{children:"Web Search"})," component in a flow:"]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Create a flow based on the ",(0,r.jsxs)(n.a,{href:"/basic-prompting",children:[(0,r.jsx)(n.strong,{children:"Basic Prompting"})," template"]}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add a ",(0,r.jsx)(n.strong,{children:"Web Search"})," component, and then enter a search query, such as ",(0,r.jsx)(n.code,{children:"environmental news"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add a ",(0,r.jsxs)(n.a,{href:"/components-processing#type-convert",children:[(0,r.jsx)(n.strong,{children:"Type Convert"})," component"]}),", set the ",(0,r.jsx)(n.strong,{children:"Output Type"})," to ",(0,r.jsx)(n.strong,{children:"Message"}),", and then connect the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component's output to the ",(0,r.jsx)(n.strong,{children:"Type Convert"})," component's input."]}),"\n",(0,r.jsxs)(n.p,{children:["By default, the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component outputs a ",(0,r.jsx)(n.code,{children:"DataFrame"}),".\nBecause the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component only accepts ",(0,r.jsx)(n.code,{children:"Message"})," data, this conversion is required so that the flow can pass the search results to the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component.\nFor more information, see ",(0,r.jsx)(n.a,{href:"#web-search-output",children:"Web Search output"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component's ",(0,r.jsx)(n.strong,{children:"Template"})," field, add a variable like ",(0,r.jsx)(n.code,{children:"{searchresults}"})," or ",(0,r.jsx)(n.code,{children:"{context}"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["This adds a field to the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component that you can use to pass the converted search results to the prompt."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Connect the ",(0,r.jsx)(n.strong,{children:"Type Convert"})," component's output to the new variable field on the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"Type convert web search output to chat",src:t(42547).A+"",width:"4000",height:"1826"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"Language Model"})," component, add your OpenAI API key, or select a different provider and model."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Playground"}),", and then enter ",(0,r.jsx)(n.code,{children:"latest news"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The LLM processes the request, including the context passed through the ",(0,r.jsx)(n.strong,{children:"Prompt Template"})," component, and then prints the response in the ",(0,r.jsx)(n.strong,{children:"Playground"})," chat interface."]}),"\n",(0,r.jsxs)(s,{children:[(0,r.jsx)("summary",{children:"Result"}),(0,r.jsx)(n.p,{children:"The following is an example of a possible response.\nYour response may vary based on the current state of the web, your specific query, the model, and other factors."}),(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Here are some of the latest news articles related to the environment:",props:{}}]},{tokens:[{content:"Ozone Pollution and Global Warming: A recent study highlights that ozone pollution is a significant global environmental concern, threatening human health and crop production while exacerbating global warming. Read more",props:{}}]},{tokens:[{content:"...",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"web-search-parameters",children:"Web Search parameters"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Info"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"query"}),(0,r.jsx)(n.td,{children:"Search Query"}),(0,r.jsx)(n.td,{children:"Input parameter. Keywords to search for."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"timeout"}),(0,r.jsx)(n.td,{children:"Timeout"}),(0,r.jsxs)(n.td,{children:["Input parameter. Timeout for the web search request in seconds. Default: ",(0,r.jsx)(n.code,{children:"5"}),"."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"results"}),(0,r.jsx)(n.td,{children:"Search Results"}),(0,r.jsxs)(n.td,{children:["Output parameter. Returns a ",(0,r.jsx)(n.code,{children:"DataFrame"})," containing ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"links"}),", and ",(0,r.jsx)(n.code,{children:"snippets"}),". For more information, see ",(0,r.jsx)(n.a,{href:"#web-search-output",children:"Web Search output"}),"."]})]})]})]}),"\n",(0,r.jsx)(n.h3,{id:"web-search-output",children:"Web Search output"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Web Search"})," component outputs a ",(0,r.jsx)(n.a,{href:"/data-types#dataframe",children:(0,r.jsx)(n.code,{children:"DataFrame"})})," containing the key columns ",(0,r.jsx)(n.code,{children:"title"}),", ",(0,r.jsx)(n.code,{children:"links"}),", and ",(0,r.jsx)(n.code,{children:"snippets"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["When used as a standard component in a flow, the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component must be connected to a component that accepts ",(0,r.jsx)(n.code,{children:"DataFrame"})," input, or you must use a ",(0,r.jsxs)(n.a,{href:"/components-processing#type-convert",children:[(0,r.jsx)(n.strong,{children:"Type Convert"})," component"]})," to convert the output to ",(0,r.jsx)(n.code,{children:"Data"})," or ",(0,r.jsx)(n.code,{children:"Message"})," type before passing the data to other components."]}),"\n",(0,r.jsxs)(n.p,{children:["When used in ",(0,r.jsx)(n.strong,{children:"Tool Mode"})," with an ",(0,r.jsx)(n.strong,{children:"Agent"})," component, the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component can be connected directly to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component's ",(0,r.jsx)(n.strong,{children:"Tools"})," port without converting the data.\nThe agent decides whether to use the ",(0,r.jsx)(n.strong,{children:"Web Search"})," component based on the user's query, and it can process the ",(0,r.jsx)(n.code,{children:"DataFrame"})," output directly."]}),"\n",(0,r.jsx)(n.h2,{id:"webhook",children:"Webhook"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Webhook"})," component defines a webhook trigger that runs a flow when it receives an HTTP POST request."]}),"\n",(0,r.jsx)(n.h3,{id:"trigger-the-webhook",children:"Trigger the webhook"}),"\n",(0,r.jsxs)(n.p,{children:["When you add a ",(0,r.jsx)(n.strong,{children:"Webhook"})," component to your flow, a ",(0,r.jsx)(n.strong,{children:"Webhook cURL"})," tab is added to the flow's ",(0,r.jsxs)(n.a,{href:"/concepts-publish#api-access",children:[(0,r.jsx)(n.strong,{children:"API Access"})," pane"]}),".\nThis tab automatically generates an HTTP POST request code snippet that you can use to trigger your flow through the ",(0,r.jsx)(n.strong,{children:"Webhook"})," component.\nFor example:"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "http://',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/webhook/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:"'Content-Type: application/json' ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:"'x-api-key: $LANGFLOW_API_KEY' ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -d ",props:{style:{color:"#79C0FF"}}},{content:'\'{"any": "data"}\'',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(n.p,{children:["For more information, see ",(0,r.jsx)(n.a,{href:"/webhook",children:"Trigger flows with webhooks"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"webhook-parameters",children:"Webhook parameters"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Name"}),(0,r.jsx)(n.th,{children:"Display Name"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"data"}),(0,r.jsx)(n.td,{children:"Payload"}),(0,r.jsx)(n.td,{children:"Input parameter. Receives a payload from external systems through HTTP POST requests."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"curl"}),(0,r.jsx)(n.td,{children:"cURL"}),(0,r.jsx)(n.td,{children:"Input parameter. The cURL command template for making requests to this webhook."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"endpoint"}),(0,r.jsx)(n.td,{children:"Endpoint"}),(0,r.jsx)(n.td,{children:"Input parameter. The endpoint URL where this webhook receives requests."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"output_data"}),(0,r.jsx)(n.td,{children:"Data"}),(0,r.jsxs)(n.td,{children:["Output parameter. The processed data from the webhook input. Returns an empty ",(0,r.jsx)(n.a,{href:"/data-types#data",children:(0,r.jsx)(n.code,{children:"Data"})})," object if no input is provided. If the input is not valid JSON, the ",(0,r.jsx)(n.strong,{children:"Webhook"})," component wraps it in a ",(0,r.jsx)(n.code,{children:"payload"})," object so that it can be accepted as input to trigger the flow."]})]})]})]}),"\n",(0,r.jsx)(n.h2,{id:"additional-data-components",children:"Additional data components"}),"\n",(0,r.jsx)(n.p,{children:"Langflow's core components are meant to be generic and support a range of use cases.\nCore components are typically not limited to a single provider."}),"\n",(0,r.jsxs)(n.p,{children:["If the core data components don't meet your needs, you can find provider-specific components in the ",(0,r.jsx)(n.a,{href:"/components-bundle-components",children:(0,r.jsx)(n.strong,{children:"Bundles"})})," section of the ",(0,r.jsx)(n.strong,{children:"Components"})," menu."]}),"\n",(0,r.jsxs)(n.p,{children:["For example, the ",(0,r.jsxs)(n.a,{href:"/bundles-datastax",children:[(0,r.jsx)(n.strong,{children:"DataStax"})," bundle"]})," includes components for CQL queries, and the ",(0,r.jsxs)(n.a,{href:"/bundles-google",children:[(0,r.jsx)(n.strong,{children:"Google"})," bundle"]})," includes components for Google Search APIs."]}),"\n",(0,r.jsx)(n.h2,{id:"legacy-data-components",children:"Legacy data components"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Load CSV"})," and ",(0,r.jsx)(n.strong,{children:"Load JSON"})," components are legacy components.\nYou can still use them in your flows, but they are no longer maintained and can be removed in a future release."]}),"\n",(0,r.jsxs)(n.p,{children:["Replace these components with the ",(0,r.jsx)(n.strong,{children:"File"})," component, which supports loading CSV and JSON files, as well as many other file types."]}),"\n",(0,r.jsx)(n.h2,{id:"see-also",children:"See also"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/bundles-google",children:"Google components"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/integrations-composio",children:"Composio components"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/concepts-file-management",children:"File management"})}),"\n"]})]})}function j(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}function m(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},17886:(e,n,t)=>{t.d(n,{A:()=>o});t(96540);var s=t(64058),r=t(74848);function o({name:e,...n}){const t=s[e];return t?(0,r.jsx)(t,{...n}):null}},42547:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/component-type-convert-and-web-search-1eef7b9a7c1a243f4a08d9717728d0e1.png"},52189:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/component-sql-database-3d2c985aee2dd9970874cb85e1d2b570.png"},84987:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/connect-data-components-to-agent-a8cd8c94d0474ae434aeb5d507a803e8.png"}}]);
\ No newline at end of file
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[2307],{7685:(e,r,t)=>{t.d(r,{A:()=>s});const s=t.p+"assets/images/vector-store-document-ingestion-6157311fb4d16e7f944d55254f0cc0e2.png"},17343:(e,r,t)=>{t.r(r),t.d(r,{CH:()=>o,assets:()=>a,chCodeConfig:()=>x,contentTitle:()=>l,default:()=>u,frontMatter:()=>h,metadata:()=>s,toc:()=>j});const s=JSON.parse('{"id":"Components/components-vector-stores","title":"Vector Stores","description":"Langflow\'s vector store components connect to your vector databases or create in-memory vector stores for storing and retrieving vector data in flows.","source":"@site/docs/Components/components-vector-stores.mdx","sourceDirName":"Components","slug":"/components-vector-stores","permalink":"/components-vector-stores","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Vector Stores","slug":"/components-vector-stores"},"sidebar":"docs","previous":{"title":"Data","permalink":"/components-data"},"next":{"title":"Processing components","permalink":"/components-processing"}}');var n=t(74848),d=t(28453),i=t(24754),c=t(17886);const h={title:"Vector Stores",slug:"/components-vector-stores"},l=void 0,a={},o={annotations:i.hk,Code:i.Cy},x={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},j=[{value:"Use a vector store component in a flow",id:"use-a-vector-store-component-in-a-flow",level:2},{value:"Configure vector store parameters",id:"configure-vector-store-parameters",level:3},{value:"Astra DB",id:"astra-db",level:2},{value:"Generate embeddings",id:"generate-embeddings",level:3},{value:"Hybrid search",id:"hybrid-search",level:3},{value:"Astra DB Graph",id:"astra-db-graph",level:2},{value:"Cassandra",id:"cassandra",level:2},{value:"Cassandra Graph",id:"cassandra-graph",level:2},{value:"Chroma DB",id:"chroma-db",level:2},{value:"Clickhouse",id:"clickhouse",level:2},{value:"Couchbase",id:"couchbase",level:2},{value:"Elasticsearch",id:"elasticsearch",level:2},{value:"FAISS",id:"faiss",level:2},{value:"Graph RAG",id:"graph-rag",level:2},{value:"Hyper-Converged Database (HCD)",id:"hyper-converged-database-hcd",level:2},{value:"Local DB",id:"local-db",level:2},{value:"Milvus",id:"milvus",level:2},{value:"MongoDB Atlas",id:"mongodb-atlas",level:2},{value:"OpenSearch",id:"opensearch",level:2},{value:"PGVector",id:"pgvector",level:2},{value:"Pinecone",id:"pinecone",level:2},{value:"Qdrant",id:"qdrant",level:2},{value:"Redis",id:"redis",level:2},{value:"Supabase",id:"supabase",level:2},{value:"Upstash",id:"upstash",level:2},{value:"Vectara",id:"vectara",level:2},{value:"Vectara RAG",id:"vectara-rag",level:2},{value:"Weaviate",id:"weaviate",level:2}];function m(e){const r={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,d.R)(),...e.components},{Details:s}=r;return o||p("CH",!1),o.Code||p("CH.Code",!0),s||p("Details",!0),(0,n.jsxs)(n.Fragment,{children:[(0,n.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n","\n",(0,n.jsx)(r.p,{children:"Langflow's vector store components connect to your vector databases or create in-memory vector stores for storing and retrieving vector data in flows."}),"\n",(0,n.jsx)(r.p,{children:"Vector databases and vector store components are specifically designed for storing and retrieving vector data, such as embeddings generated by language models. They are used to perform similarity searches, enabling applications like chatbots to retrieve relevant context from large datasets."}),"\n",(0,n.jsxs)(r.p,{children:["Other types of storage, like traditional structured databases and chat memory, are handled through other components like the ",(0,n.jsxs)(r.a,{href:"/components-data#sql-database",children:[(0,n.jsx)(r.strong,{children:"SQL Database"})," component"]})," or the ",(0,n.jsxs)(r.a,{href:"/components-helpers#message-history",children:[(0,n.jsx)(r.strong,{children:"Message History"})," component"]}),"."]}),"\n",(0,n.jsx)(r.h2,{id:"use-a-vector-store-component-in-a-flow",children:"Use a vector store component in a flow"}),"\n",(0,n.jsx)(r.admonition,{type:"tip",children:(0,n.jsxs)(r.p,{children:["For examples of vector store components in flows, see ",(0,n.jsx)(r.a,{href:"/chat-with-rag",children:"Create a vector RAG chatbot"})," and ",(0,n.jsxs)(r.a,{href:"/components-embedding-models",children:[(0,n.jsx)(r.strong,{children:"Embedding Model"})," components"]}),"."]})}),"\n",(0,n.jsxs)(r.p,{children:["This example uses the ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," vector store component. Your vector store component's parameters and authentication may be different, but the document ingestion workflow is the same. A document is loaded from a local machine and chunked. The vector store component generates embeddings with the connected ",(0,n.jsx)(r.a,{href:"/components-models",children:"model"})," component, and stores them in the connected vector database."]}),"\n",(0,n.jsx)(r.p,{children:"This vector data can then be retrieved for workloads like Retrieval Augmented Generation."}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{alt:"Embedding data into a vector store",src:t(7685).A+"",width:"4000",height:"2512"})}),"\n",(0,n.jsxs)(r.p,{children:["The user's chat input is embedded and compared to the vectors embedded during document ingestion for a similarity search.\nThe results are output from the vector database component as a ",(0,n.jsx)(r.a,{href:"/data-types#data",children:(0,n.jsx)(r.code,{children:"Data"})})," object and parsed into text.\nThis text fills the ",(0,n.jsx)(r.code,{children:"{context}"})," variable in the ",(0,n.jsx)(r.strong,{children:"Prompt Template"})," component, which informs the ",(0,n.jsx)(r.strong,{children:"OpenAI model"})," component's responses."]}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{alt:"Retrieval from a vector store",src:t(67719).A+"",width:"4000",height:"1324"})}),"\n",(0,n.jsx)(r.h3,{id:"configure-vector-store-parameters",children:"Configure vector store parameters"}),"\n",(0,n.jsx)(r.p,{children:"Most vector store components have the same utility within a flow, but each provider can offer different parameters and functionality.\nInspect a component's parameters to learn more about the inputs it accepts and how to configure it."}),"\n",(0,n.jsxs)(r.p,{children:["Many input parameters for vector store components are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,n.jsx)(c.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Controls"})," in each ",(0,n.jsx)(r.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,n.jsx)(r.p,{children:"For details about a specific provider's parameters, see the provider's documentation."}),"\n",(0,n.jsx)(r.h2,{id:"astra-db",children:"Astra DB"}),"\n",(0,n.jsxs)(r.p,{children:["This component implements an ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"Astra DB Serverless vector store"})," with search capabilities."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"token"}),(0,n.jsx)(r.td,{children:"Astra DB Application Token"}),(0,n.jsx)(r.td,{children:"The authentication token for accessing Astra DB."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"environment"}),(0,n.jsx)(r.td,{children:"Environment"}),(0,n.jsxs)(r.td,{children:["The environment for the Astra DB API Endpoint. 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Not required for Astra vectorize collections."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Search Results"}),(0,n.jsxs)(r.td,{children:["The number of search results to return. Default:",(0,n.jsx)(r.code,{children:"4"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"Search Type"}),(0,n.jsxs)(r.td,{children:["The search type to use. The options are ",(0,n.jsx)(r.code,{children:"Similarity"}),", ",(0,n.jsx)(r.code,{children:"Similarity with score threshold"}),", and ",(0,n.jsx)(r.code,{children:"MMR (Max Marginal Relevance)"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_score_threshold"}),(0,n.jsx)(r.td,{children:"Search Score Threshold"}),(0,n.jsxs)(r.td,{children:["The minimum similarity score threshold for search results when using the ",(0,n.jsx)(r.code,{children:"Similarity with score threshold"})," option."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"advanced_search_filter"}),(0,n.jsx)(r.td,{children:"Search Metadata Filter"}),(0,n.jsx)(r.td,{children:"An optional dictionary of filters to apply to the search query."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"autodetect_collection"}),(0,n.jsx)(r.td,{children:"Autodetect Collection"}),(0,n.jsx)(r.td,{children:"A boolean flag to determine whether to autodetect the collection."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"content_field"}),(0,n.jsx)(r.td,{children:"Content Field"}),(0,n.jsx)(r.td,{children:"A field to use as the text content field for the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"deletion_field"}),(0,n.jsx)(r.td,{children:"Deletion Based On Field"}),(0,n.jsx)(r.td,{children:"When provided, documents in the target collection with metadata field values matching the input metadata field value are deleted before new data is loaded."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ignore_invalid_documents"}),(0,n.jsx)(r.td,{children:"Ignore Invalid Documents"}),(0,n.jsx)(r.td,{children:"A boolean flag to determine whether to ignore invalid documents at runtime."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"astradb_vectorstore_kwargs"}),(0,n.jsx)(r.td,{children:"AstraDBVectorStore Parameters"}),(0,n.jsx)(r.td,{children:"An optional dictionary of additional parameters for the AstraDBVectorStore."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The Astra DB vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h3,{id:"generate-embeddings",children:"Generate embeddings"}),"\n",(0,n.jsxs)(r.p,{children:["The ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component offers two methods for generating embeddings."]}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["*",(0,n.jsx)(r.strong,{children:"Embedding Model"}),": Use your own embedding model by connecting an ",(0,n.jsxs)(r.a,{href:"/components-embedding-models",children:[(0,n.jsx)(r.strong,{children:"Embedding Model"})," component"]})," in Langflow."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:[(0,n.jsx)(r.strong,{children:"Astra Vectorize"}),": Use Astra DB's built-in embedding generation service. When creating a new collection, choose the embeddings provider and models, including NVIDIA's ",(0,n.jsx)(r.code,{children:"NV-Embed-QA"})," model hosted by DataStax.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,n.jsx)(r.admonition,{type:"important",children:(0,n.jsx)(r.p,{children:"With vectorize, the embedding model you choose when you create a collection cannot be changed later."})}),"\n"]}),"\n"]}),"\n",(0,n.jsxs)(r.p,{children:["For an example of using the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component with an embedding model, see the ",(0,n.jsxs)(r.a,{href:"/vector-store-rag",children:[(0,n.jsx)(r.strong,{children:"Vector Store RAG"})," template"]}),"."]}),"\n",(0,n.jsx)(r.h3,{id:"hybrid-search",children:"Hybrid search"}),"\n",(0,n.jsxs)(r.p,{children:["The ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component includes Astra DB's ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/hybrid-search.html",children:"hybrid search"})," feature through the Astra DB Data API."]}),"\n",(0,n.jsx)(r.p,{children:"Hybrid search performs a vector similarity search and a lexical search, compares the results of both searches, and then returns the most relevant results overall."}),"\n",(0,n.jsxs)(r.p,{children:["To use hybrid search through the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component, you must ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/collection-methods/create-collection.html#example-hybrid",children:"create a collection with that supports hybrid search"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["The following ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component parameters are used for hybrid search:"]}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.strong,{children:"Search Query"}),": The query to use for vector search."]}),"\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.strong,{children:"Lexical Terms"}),": A comma-separated string of keywords, like ",(0,n.jsx)(r.code,{children:"features, data, attributes, characteristics"}),"."]}),"\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.strong,{children:"Reranker"}),": The re-ranker model to use for hybrid search, such as ",(0,n.jsx)(r.code,{children:"nvidia/llama-3.2-nv.reranker"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Hybrid search example"}),(0,n.jsxs)(r.p,{children:["To use hybrid search through the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component, do the following:"]}),(0,n.jsxs)(r.ol,{children:["\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["Click ",(0,n.jsx)(r.strong,{children:"New Flow"})," > ",(0,n.jsx)(r.strong,{children:"RAG"})," > ",(0,n.jsx)(r.strong,{children:"Hybrid Search RAG"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," model component, add your ",(0,n.jsx)(r.strong,{children:"OpenAI API key"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," vector store component, add your ",(0,n.jsx)(r.strong,{children:"Astra DB Application Token"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Database"})," field, select your database."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Collection"})," field, select or create a collection with hybrid search capabilities enabled."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Playground"}),", enter a question about your data, such as ",(0,n.jsx)(r.code,{children:"What are the features of my data?"})]}),"\n",(0,n.jsxs)(r.p,{children:["Your query is sent to two components: an ",(0,n.jsx)(r.strong,{children:"OpenAI"})," model component and the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," vector database component.\nThe ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component contains a prompt for creating the lexical query from your input:"]}),"\n",(0,n.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"You are a database query planner that takes a user's requests, and then converts to a search against the subject matter in question.",props:{}}]},{tokens:[{content:"You should convert the query into:",props:{}}]},{tokens:[{content:"1. A list of keywords to use against a Lucene text analyzer index, no more than 4. Strictly unigrams.",props:{}}]},{tokens:[{content:"2. A question to use as the basis for a QA embedding engine.",props:{}}]},{tokens:[{content:"Avoid common keywords associated with the user's subject matter.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["To view the keywords and questions the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component generates from your collection, in the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component, click ",(0,n.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Inspect output"}),"."]}),"\n",(0,n.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"1. Keywords: features, data, attributes, characteristics",props:{}}]},{tokens:[{content:"2. Question: What characteristics can be identified in my data?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["To view the ",(0,n.jsx)(r.a,{href:"/data-types#dataframe",children:"DataFrame"})," generated from the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component's response, in the ",(0,n.jsx)(r.strong,{children:"Structured Output"})," component, click ",(0,n.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Inspect output"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["The DataFrame is passed to a ",(0,n.jsx)(r.strong,{children:"Parser"})," component, which parses the contents of the ",(0,n.jsx)(r.strong,{children:"Keywords"})," column into a string."]}),"\n",(0,n.jsxs)(r.p,{children:["This string of comma-separated words is passed to the ",(0,n.jsx)(r.strong,{children:"Lexical Terms"})," port of the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component.\nNote that the ",(0,n.jsx)(r.strong,{children:"Search Query"})," port of the Astra DB port is connected to the ",(0,n.jsx)(r.strong,{children:"Chat Input"})," component from step 6.\nThis ",(0,n.jsx)(r.strong,{children:"Search Query"})," is vectorized, and both the ",(0,n.jsx)(r.strong,{children:"Search Query"})," and ",(0,n.jsx)(r.strong,{children:"Lexical Terms"})," content are sent to the reranker at the ",(0,n.jsx)(r.code,{children:"find_and_rerank"})," endpoint."]}),"\n",(0,n.jsxs)(r.p,{children:["The reranker compares the vector search results against the string of terms from the lexical search.\nThe highest-ranked results of your hybrid search are returned to the ",(0,n.jsx)(r.strong,{children:"Playground"}),"."]}),"\n"]}),"\n"]})]}),"\n",(0,n.jsx)(r.h2,{id:"astra-db-graph",children:"Astra DB Graph"}),"\n",(0,n.jsxs)(r.p,{children:["This component implements a vector store using Astra DB with graph capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/tutorials/graph-rag.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"Collection Name"}),(0,n.jsx)(r.td,{children:"The name of the collection within Astra DB where the vectors are stored. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"token"}),(0,n.jsx)(r.td,{children:"Astra DB Application Token"}),(0,n.jsx)(r.td,{children:"Authentication token for accessing Astra DB. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"api_endpoint"}),(0,n.jsx)(r.td,{children:"API Endpoint"}),(0,n.jsx)(r.td,{children:"API endpoint URL for the Astra DB service. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_input"}),(0,n.jsx)(r.td,{children:"Search Input"}),(0,n.jsx)(r.td,{children:"Query string for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Ingest Data"}),(0,n.jsx)(r.td,{children:"Data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"keyspace"}),(0,n.jsx)(r.td,{children:"Keyspace"}),(0,n.jsx)(r.td,{children:"Optional keyspace within Astra DB to use for the collection."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding Model"}),(0,n.jsx)(r.td,{children:"Embedding model to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metric"}),(0,n.jsx)(r.td,{children:"Metric"}),(0,n.jsx)(r.td,{children:'Distance metric for vector comparisons. The options are "cosine", "euclidean", "dot_product".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"setup_mode"}),(0,n.jsx)(r.td,{children:"Setup Mode"}),(0,n.jsx)(r.td,{children:'Configuration mode for setting up the vector store. The options are "Sync", "Async", "Off".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"pre_delete_collection"}),(0,n.jsx)(r.td,{children:"Pre Delete Collection"}),(0,n.jsx)(r.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"Number of results to return in similarity search. Default: 4."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"Search Type"}),(0,n.jsx)(r.td,{children:'Search type to use. The options are "Similarity", "Graph Traversal", "Hybrid".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"traversal_depth"}),(0,n.jsx)(r.td,{children:"Traversal Depth"}),(0,n.jsx)(r.td,{children:"Maximum depth for graph traversal searches. Default: 1."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_score_threshold"}),(0,n.jsx)(r.td,{children:"Search Score Threshold"}),(0,n.jsx)(r.td,{children:"Minimum similarity score threshold for search results."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_filter"}),(0,n.jsx)(r.td,{children:"Search Metadata Filter"}),(0,n.jsx)(r.td,{children:"Optional dictionary of filters to apply to the search query."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The Graph RAG vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"cassandra",children:"Cassandra"}),"\n",(0,n.jsxs)(r.p,{children:["This component creates a Cassandra vector store with search capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://cassandra.apache.org/doc/latest/cassandra/vector-search/overview.html",children:"Cassandra documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"database_ref"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Contact points for the database or Astra DB database ID."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"username"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Username for the database (leave empty for Astra DB)."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"token"}),(0,n.jsx)(r.td,{children:"SecretString"}),(0,n.jsx)(r.td,{children:"User password for the database or Astra DB token."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"keyspace"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Table or keyspace."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"table_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the table or Astra DB collection."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ttl_seconds"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Time-to-live for added texts."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"batch_size"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Number of data to process in a single batch."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"setup_mode"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Configuration mode for setting up the Cassandra table."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"cluster_kwargs"}),(0,n.jsx)(r.td,{children:"Dict"}),(0,n.jsx)(r.td,{children:"Additional keyword arguments for the Cassandra cluster."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Query for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsx)(r.td,{children:"Data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"Embedding function to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Number of results to return in search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Type of search to perform."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_score_threshold"}),(0,n.jsx)(r.td,{children:"Float"}),(0,n.jsx)(r.td,{children:"Minimum similarity score for search results."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_filter"}),(0,n.jsx)(r.td,{children:"Dict"}),(0,n.jsx)(r.td,{children:"Metadata filters for search query."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"body_search"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Document textual search terms."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"enable_body_search"}),(0,n.jsx)(r.td,{children:"Boolean"}),(0,n.jsx)(r.td,{children:"Flag to enable body search."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Cassandra"}),(0,n.jsx)(r.td,{children:"The Cassandra vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"List[Data]"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.code,{children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"cassandra-graph",children:"Cassandra Graph"}),"\n",(0,n.jsx)(r.p,{children:"This component implements a Cassandra Graph vector store with search capabilities."}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"database_ref"}),(0,n.jsx)(r.td,{children:"Contact Points / Astra Database ID"}),(0,n.jsx)(r.td,{children:"The contact points for the database or Astra DB database ID. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"username"}),(0,n.jsx)(r.td,{children:"Username"}),(0,n.jsx)(r.td,{children:"The username for the database. Leave this field empty for Astra DB."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"token"}),(0,n.jsx)(r.td,{children:"Password / Astra DB Token"}),(0,n.jsx)(r.td,{children:"The user password for the database or Astra DB token. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"keyspace"}),(0,n.jsx)(r.td,{children:"Keyspace"}),(0,n.jsx)(r.td,{children:"The table or keyspace. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"table_name"}),(0,n.jsx)(r.td,{children:"Table Name"}),(0,n.jsx)(r.td,{children:"The name of the table or Astra DB collection where vectors are stored. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"setup_mode"}),(0,n.jsx)(r.td,{children:"Setup Mode"}),(0,n.jsx)(r.td,{children:'The configuration mode for setting up the Cassandra table. The options are "Sync" or "Off". Default: "Sync".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"cluster_kwargs"}),(0,n.jsx)(r.td,{children:"Cluster arguments"}),(0,n.jsx)(r.td,{children:"An optional dictionary of additional keyword arguments for the Cassandra cluster."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"Search Query"}),(0,n.jsx)(r.td,{children:"The query string for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Ingest Data"}),(0,n.jsx)(r.td,{children:"The list of data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding"}),(0,n.jsx)(r.td,{children:"The embedding model to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"The number of results to return in similarity search. Default: 4."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"Search Type"}),(0,n.jsx)(r.td,{children:'The search type to use. The options are "Traversal", "MMR traversal", "Similarity", "Similarity with score threshold", or "MMR (Max Marginal Relevance)". Default: "Traversal".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"depth"}),(0,n.jsx)(r.td,{children:"Depth of traversal"}),(0,n.jsx)(r.td,{children:'The maximum depth of edges to traverse. Used for "Traversal" or "MMR traversal" search types. Default: 1.'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_score_threshold"}),(0,n.jsx)(r.td,{children:"Search Score Threshold"}),(0,n.jsx)(r.td,{children:'The minimum similarity score threshold for search results. Used for "Similarity with score threshold" search types.'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_filter"}),(0,n.jsx)(r.td,{children:"Search Metadata Filter"}),(0,n.jsx)(r.td,{children:"An optional dictionary of filters to apply to the search query."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The Cassandra Graph vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"chroma-db",children:"Chroma DB"}),"\n",(0,n.jsxs)(r.p,{children:["The ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," component creates an ephemeral, Chroma vector database with search capabilities that you can use for experimentation and vector storage.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.trychroma.com/",children:"Chroma documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Chroma DB sample flow"}),(0,n.jsxs)(r.ol,{children:["\n",(0,n.jsxs)(r.li,{children:["To use this component in a flow, connect it to a component that outputs ",(0,n.jsx)(r.strong,{children:"Data"})," or ",(0,n.jsx)(r.strong,{children:"DataFrame"}),".\nThis example splits text from a ",(0,n.jsx)(r.a,{href:"/components-data#url",children:"URL"})," component, and computes embeddings with the connected ",(0,n.jsx)(r.strong,{children:"OpenAI Embeddings"})," component. Chroma DB computes embeddings by default, but you can connect your own embeddings model, as seen in this example."]}),"\n"]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{alt:"ChromaDB receiving split text",src:t(88690).A+"",width:"4000",height:"2694"})}),(0,n.jsxs)(r.ol,{start:"2",children:["\n",(0,n.jsxs)(r.li,{children:["In the ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," component, in the ",(0,n.jsx)(r.strong,{children:"Collection"})," field, enter a name for your embeddings collection."]}),"\n",(0,n.jsxs)(r.li,{children:["Optionally, to persist the Chroma database, in the ",(0,n.jsx)(r.strong,{children:"Persist"})," field, enter a directory to store the ",(0,n.jsx)(r.code,{children:"chroma.sqlite3"})," file.\nThis example uses ",(0,n.jsx)(r.code,{children:"./chroma-db"})," to create a directory relative to where Langflow is running."]}),"\n",(0,n.jsxs)(r.li,{children:["To load data and embeddings into your Chroma database, in the ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," component, click ",(0,n.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Run component"}),"."]}),"\n"]}),(0,n.jsx)(r.admonition,{type:"tip",children:(0,n.jsxs)(r.p,{children:["When loading duplicate documents, enable the ",(0,n.jsx)(r.strong,{children:"Allow Duplicates"})," option in Chroma DB if you want to store multiple copies of the same content, or disable it to automatically deduplicate your data."]})}),(0,n.jsxs)(r.ol,{start:"5",children:["\n",(0,n.jsxs)(r.li,{children:["To view the split data, in the ",(0,n.jsx)(r.strong,{children:"Split Text"})," component, click ",(0,n.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Inspect output"}),"."]}),"\n",(0,n.jsxs)(r.li,{children:["To query your loaded data, open the ",(0,n.jsx)(r.strong,{children:"Playground"})," and query your database.\nYour input is converted to vector data and compared to the stored vectors in a vector similarity search."]}),"\n"]})]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'The name of the Chroma collection. Default: "langflow".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"persist_directory"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The directory to persist the Chroma database."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The query to search for in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsxs)(r.td,{children:["The data to ingest into the vector store (list of ",(0,n.jsx)(r.code,{children:"Data"})," objects)."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"The embedding function to use for the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_cors_allow_origins"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The CORS allow origins for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_host"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The host for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_http_port"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"The HTTP port for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_grpc_port"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"The gRPC port for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_ssl_enabled"}),(0,n.jsx)(r.td,{children:"Boolean"}),(0,n.jsx)(r.td,{children:"Enable SSL for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"allow_duplicates"}),(0,n.jsx)(r.td,{children:"Boolean"}),(0,n.jsx)(r.td,{children:"Allow duplicate documents in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'The type of search to perform: "Similarity" or "MMR".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsxs)(r.td,{children:["The number of results to return from the search. Default: ",(0,n.jsx)(r.code,{children:"10"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"limit"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsxs)(r.td,{children:["The limit of the number of records to compare when ",(0,n.jsx)(r.code,{children:"Allow Duplicates"})," is ",(0,n.jsx)(r.code,{children:"False"}),"."]})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Chroma"}),(0,n.jsx)(r.td,{children:"The Chroma vector store instance."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"List[Data]"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"clickhouse",children:"Clickhouse"}),"\n",(0,n.jsxs)(r.p,{children:["This component implements a Clickhouse vector store with search capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://clickhouse.com/docs/en/intro",children:"Clickhouse Documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"host"}),(0,n.jsx)(r.td,{children:"hostname"}),(0,n.jsx)(r.td,{children:'The Clickhouse server hostname. Required. Default: "localhost".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"port"}),(0,n.jsx)(r.td,{children:"port"}),(0,n.jsx)(r.td,{children:"The Clickhouse server port. Required. Default: 8123."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"database"}),(0,n.jsx)(r.td,{children:"database"}),(0,n.jsx)(r.td,{children:"The Clickhouse database name. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"table"}),(0,n.jsx)(r.td,{children:"Table name"}),(0,n.jsx)(r.td,{children:"The Clickhouse table name. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"username"}),(0,n.jsx)(r.td,{children:"The ClickHouse user name."}),(0,n.jsx)(r.td,{children:"Username for authentication. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"password"}),(0,n.jsx)(r.td,{children:"The password for username."}),(0,n.jsx)(r.td,{children:"Password for authentication. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_type"}),(0,n.jsx)(r.td,{children:"index_type"}),(0,n.jsx)(r.td,{children:'Type of the index. The options are "annoy" and "vector_similarity". Default: "annoy".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metric"}),(0,n.jsx)(r.td,{children:"metric"}),(0,n.jsx)(r.td,{children:'Metric to compute distance. The options are "angular", "euclidean", "manhattan", "hamming", "dot". Default: "angular".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"secure"}),(0,n.jsx)(r.td,{children:"Use https/TLS"}),(0,n.jsx)(r.td,{children:"Overrides inferred values from the interface or port arguments. Default: false."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_param"}),(0,n.jsx)(r.td,{children:"Param of the index"}),(0,n.jsx)(r.td,{children:"Index parameters. Default: \"'L2Distance',100\"."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_query_params"}),(0,n.jsx)(r.td,{children:"index query params"}),(0,n.jsx)(r.td,{children:"Additional index query parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"Search Query"}),(0,n.jsx)(r.td,{children:"The query string for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Ingest Data"}),(0,n.jsx)(r.td,{children:"The data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding"}),(0,n.jsx)(r.td,{children:"The embedding model to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"The number of results to return in similarity search. Default: 4."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"score_threshold"}),(0,n.jsx)(r.td,{children:"Score threshold"}),(0,n.jsx)(r.td,{children:"The threshold for similarity scores."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The Clickhouse vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsx)(r.td,{children:"The results of the similarity search as a list of Data objects."})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"couchbase",children:"Couchbase"}),"\n",(0,n.jsxs)(r.p,{children:["This component creates a Couchbase vector store with search capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.couchbase.com/home/index.html",children:"Couchbase documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"couchbase_connection_string"}),(0,n.jsx)(r.td,{children:"SecretString"}),(0,n.jsx)(r.td,{children:"Couchbase Cluster connection string. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"couchbase_username"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Couchbase username. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"couchbase_password"}),(0,n.jsx)(r.td,{children:"SecretString"}),(0,n.jsx)(r.td,{children:"Couchbase password. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"bucket_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase bucket. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"scope_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase scope. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase collection. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase index. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The query to search for in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsx)(r.td,{children:"The list of data to ingest into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"The embedding function to use for the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Number of results to return from the search. Default: 4."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsx)(r.tbody,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"CouchbaseVectorStore"}),(0,n.jsx)(r.td,{children:"A Couchbase vector store instance configured with the specified parameters."})]})})]})]}),"\n",(0,n.jsx)(r.h2,{id:"elasticsearch",children:"Elasticsearch"}),"\n",(0,n.jsxs)(r.p,{children:["This component creates an Elasticsearch vector store with search capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://www.elastic.co/guide/en/elasticsearch/reference/current/dense-vector.html",children:"Elasticsearch documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"es_url"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Elasticsearch server URL."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"es_user"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Username for Elasticsearch authentication."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"es_password"}),(0,n.jsx)(r.td,{children:"SecretString"}),(0,n.jsx)(r.td,{children:"Password for Elasticsearch authentication."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Elasticsearch index."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"strategy"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'Strategy for vector search. The options are "approximate_k_nearest_neighbors" or "script_scoring".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"distance_strategy"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'Strategy for distance calculation. 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This is not required for collections embedded with ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra vectorize"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store Connection"}),(0,n.jsx)(r.td,{children:"Connection to the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"edge_definition"}),(0,n.jsx)(r.td,{children:"Edge Definition"}),(0,n.jsxs)(r.td,{children:["Edge definition for the graph traversal. For more information, see the ",(0,n.jsx)(r.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/edges/",children:"GraphRAG documentation"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"strategy"}),(0,n.jsx)(r.td,{children:"Traversal Strategies"}),(0,n.jsx)(r.td,{children:"The strategy to use for graph traversal. 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For more information, see the ",(0,n.jsx)(r.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/strategies/",children:"strategy documentation"}),"."]})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsx)(r.tbody,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"List[Data]"}),(0,n.jsxs)(r.td,{children:["Results of the graph-based document retrieval as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})})]})]}),"\n",(0,n.jsx)(r.h2,{id:"hyper-converged-database-hcd",children:"Hyper-Converged Database (HCD)"}),"\n",(0,n.jsx)(r.p,{children:"This component implements a vector store using HCD."}),"\n",(0,n.jsxs)(r.p,{children:["To use the HCD vector store, add your deployment's collection name, username, password, and HCD Data API endpoint.\nThe endpoint must be formatted like ",(0,n.jsx)(r.code,{children:"http[s]://**DOMAIN_NAME** or **IP_ADDRESS**[:port]"}),", for example, ",(0,n.jsx)(r.code,{children:"http://192.0.2.250:8181"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["Replace ",(0,n.jsx)(r.strong,{children:"DOMAIN_NAME"})," or ",(0,n.jsx)(r.strong,{children:"IP_ADDRESS"})," with the domain name or IP address of your HCD Data API connection."]}),"\n",(0,n.jsx)(r.p,{children:"To use the HCD vector store for embeddings ingestion, connect it to an embeddings model and a file loader."}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{alt:"HCD vector store embeddings ingestion",src:t(42638).A+"",width:"2294",height:"1684"})}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"Collection Name"}),(0,n.jsx)(r.td,{children:"The name of the collection within HCD where the vectors will be stored. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"username"}),(0,n.jsx)(r.td,{children:"HCD Username"}),(0,n.jsx)(r.td,{children:'Authentication username for accessing HCD. Default is "hcd-superuser". Required.'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"password"}),(0,n.jsx)(r.td,{children:"HCD Password"}),(0,n.jsx)(r.td,{children:"Authentication password for accessing HCD. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"api_endpoint"}),(0,n.jsx)(r.td,{children:"HCD API Endpoint"}),(0,n.jsx)(r.td,{children:"API endpoint URL for the HCD service. 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Default is "Sync".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"pre_delete_collection"}),(0,n.jsx)(r.td,{children:"Pre Delete Collection"}),(0,n.jsx)(r.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metadata_indexing_include"}),(0,n.jsx)(r.td,{children:"Metadata Indexing Include"}),(0,n.jsx)(r.td,{children:"Optional list of metadata fields to include in the indexing."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding or Astra Vectorize"}),(0,n.jsx)(r.td,{children:"Allows either an embedding model or an Astra Vectorize configuration."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metadata_indexing_exclude"}),(0,n.jsx)(r.td,{children:"Metadata Indexing Exclude"}),(0,n.jsx)(r.td,{children:"Optional list of metadata fields to exclude from the indexing."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_indexing_policy"}),(0,n.jsx)(r.td,{children:"Collection Indexing Policy"}),(0,n.jsx)(r.td,{children:"Optional dictionary defining the indexing policy for the collection."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"Number of results to return in similarity search. 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The Langflow cache directory location is specified in ",(0,n.jsx)(r.code,{children:"LANGFLOW_CONFIG_DIR"}),". For more information, see ",(0,n.jsx)(r.a,{href:"/environment-variables",children:"Environment variables"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["The ",(0,n.jsx)(r.strong,{children:"Retrieve"})," mode can query your ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," collections."]}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{alt:"Local DB retrieving vectors",src:t(60159).A+"",width:"4000",height:"2188"})}),"\n",(0,n.jsxs)(r.p,{children:["For more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.trychroma.com/",children:"Chroma documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'The name of the Chroma collection. 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It is embedded and indexed for semantic search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Enter text to search for similar content in the selected collection."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Number of results to return. 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When creating a new collection, choose the embeddings provider and models, including NVIDIA's ",(0,n.jsx)(r.code,{children:"NV-Embed-QA"})," model hosted by DataStax.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,n.jsx)(r.admonition,{type:"important",children:(0,n.jsx)(r.p,{children:"With vectorize, the embedding model you choose when you create a collection cannot be changed later."})}),"\n"]}),"\n"]}),"\n",(0,n.jsxs)(r.p,{children:["For an example of using the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component with an embedding model, see the ",(0,n.jsxs)(r.a,{href:"/vector-store-rag",children:[(0,n.jsx)(r.strong,{children:"Vector Store RAG"})," template"]}),"."]}),"\n",(0,n.jsx)(r.h3,{id:"hybrid-search",children:"Hybrid search"}),"\n",(0,n.jsxs)(r.p,{children:["The ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component includes Astra DB's ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/hybrid-search.html",children:"hybrid search"})," feature through the Astra DB Data API."]}),"\n",(0,n.jsx)(r.p,{children:"Hybrid search performs a vector similarity search and a lexical search, compares the results of both searches, and then returns the most relevant results overall."}),"\n",(0,n.jsxs)(r.p,{children:["To use hybrid search through the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component, you must ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/collection-methods/create-collection.html#example-hybrid",children:"create a collection with that supports hybrid search"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["The following ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component parameters are used for hybrid search:"]}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.strong,{children:"Search Query"}),": The query to use for vector search."]}),"\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.strong,{children:"Lexical Terms"}),": A comma-separated string of keywords, like ",(0,n.jsx)(r.code,{children:"features, data, attributes, characteristics"}),"."]}),"\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.strong,{children:"Reranker"}),": The re-ranker model to use for hybrid search, such as ",(0,n.jsx)(r.code,{children:"nvidia/llama-3.2-nv.reranker"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Hybrid search example"}),(0,n.jsxs)(r.p,{children:["To use hybrid search through the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component, do the following:"]}),(0,n.jsxs)(r.ol,{children:["\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["Click ",(0,n.jsx)(r.strong,{children:"New Flow"})," > ",(0,n.jsx)(r.strong,{children:"RAG"})," > ",(0,n.jsx)(r.strong,{children:"Hybrid Search RAG"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," model component, add your ",(0,n.jsx)(r.strong,{children:"OpenAI API key"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," vector store component, add your ",(0,n.jsx)(r.strong,{children:"Astra DB Application Token"}),"."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Database"})," field, select your database."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Collection"})," field, select or create a collection with hybrid search capabilities enabled."]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["In the ",(0,n.jsx)(r.strong,{children:"Playground"}),", enter a question about your data, such as ",(0,n.jsx)(r.code,{children:"What are the features of my data?"})]}),"\n",(0,n.jsxs)(r.p,{children:["Your query is sent to two components: an ",(0,n.jsx)(r.strong,{children:"OpenAI"})," model component and the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," vector database component.\nThe ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component contains a prompt for creating the lexical query from your input:"]}),"\n",(0,n.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"You are a database query planner that takes a user's requests, and then converts to a search against the subject matter in question.",props:{}}]},{tokens:[{content:"You should convert the query into:",props:{}}]},{tokens:[{content:"1. A list of keywords to use against a Lucene text analyzer index, no more than 4. Strictly unigrams.",props:{}}]},{tokens:[{content:"2. A question to use as the basis for a QA embedding engine.",props:{}}]},{tokens:[{content:"Avoid common keywords associated with the user's subject matter.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["To view the keywords and questions the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component generates from your collection, in the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component, click ",(0,n.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Inspect output"}),"."]}),"\n",(0,n.jsx)(o.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"1. Keywords: features, data, attributes, characteristics",props:{}}]},{tokens:[{content:"2. Question: What characteristics can be identified in my data?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["\n",(0,n.jsxs)(r.p,{children:["To view the ",(0,n.jsx)(r.a,{href:"/data-types#dataframe",children:"DataFrame"})," generated from the ",(0,n.jsx)(r.strong,{children:"OpenAI"})," component's response, in the ",(0,n.jsx)(r.strong,{children:"Structured Output"})," component, click ",(0,n.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Inspect output"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["The DataFrame is passed to a ",(0,n.jsx)(r.strong,{children:"Parser"})," component, which parses the contents of the ",(0,n.jsx)(r.strong,{children:"Keywords"})," column into a string."]}),"\n",(0,n.jsxs)(r.p,{children:["This string of comma-separated words is passed to the ",(0,n.jsx)(r.strong,{children:"Lexical Terms"})," port of the ",(0,n.jsx)(r.strong,{children:"Astra DB"})," component.\nNote that the ",(0,n.jsx)(r.strong,{children:"Search Query"})," port of the Astra DB port is connected to the ",(0,n.jsx)(r.strong,{children:"Chat Input"})," component from step 6.\nThis ",(0,n.jsx)(r.strong,{children:"Search Query"})," is vectorized, and both the ",(0,n.jsx)(r.strong,{children:"Search Query"})," and ",(0,n.jsx)(r.strong,{children:"Lexical Terms"})," content are sent to the reranker at the ",(0,n.jsx)(r.code,{children:"find_and_rerank"})," endpoint."]}),"\n",(0,n.jsxs)(r.p,{children:["The reranker compares the vector search results against the string of terms from the lexical search.\nThe highest-ranked results of your hybrid search are returned to the ",(0,n.jsx)(r.strong,{children:"Playground"}),"."]}),"\n"]}),"\n"]})]}),"\n",(0,n.jsx)(r.h2,{id:"astra-db-graph",children:"Astra DB Graph"}),"\n",(0,n.jsxs)(r.p,{children:["This component implements a vector store using Astra DB with graph capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/tutorials/graph-rag.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"Collection Name"}),(0,n.jsx)(r.td,{children:"The name of the collection within Astra DB where the vectors are stored. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"token"}),(0,n.jsx)(r.td,{children:"Astra DB Application Token"}),(0,n.jsx)(r.td,{children:"Authentication token for accessing Astra DB. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"api_endpoint"}),(0,n.jsx)(r.td,{children:"API Endpoint"}),(0,n.jsx)(r.td,{children:"API endpoint URL for the Astra DB service. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_input"}),(0,n.jsx)(r.td,{children:"Search Input"}),(0,n.jsx)(r.td,{children:"Query string for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Ingest Data"}),(0,n.jsx)(r.td,{children:"Data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"keyspace"}),(0,n.jsx)(r.td,{children:"Keyspace"}),(0,n.jsx)(r.td,{children:"Optional keyspace within Astra DB to use for the collection."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding Model"}),(0,n.jsx)(r.td,{children:"Embedding model to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metric"}),(0,n.jsx)(r.td,{children:"Metric"}),(0,n.jsx)(r.td,{children:'Distance metric for vector comparisons. The options are "cosine", "euclidean", "dot_product".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"setup_mode"}),(0,n.jsx)(r.td,{children:"Setup Mode"}),(0,n.jsx)(r.td,{children:'Configuration mode for setting up the vector store. The options are "Sync", "Async", "Off".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"pre_delete_collection"}),(0,n.jsx)(r.td,{children:"Pre Delete Collection"}),(0,n.jsx)(r.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"Number of results to return in similarity search. Default: 4."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"Search Type"}),(0,n.jsx)(r.td,{children:'Search type to use. The options are "Similarity", "Graph Traversal", "Hybrid".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"traversal_depth"}),(0,n.jsx)(r.td,{children:"Traversal Depth"}),(0,n.jsx)(r.td,{children:"Maximum depth for graph traversal searches. Default: 1."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_score_threshold"}),(0,n.jsx)(r.td,{children:"Search Score Threshold"}),(0,n.jsx)(r.td,{children:"Minimum similarity score threshold for search results."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_filter"}),(0,n.jsx)(r.td,{children:"Search Metadata Filter"}),(0,n.jsx)(r.td,{children:"Optional dictionary of filters to apply to the search query."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The Graph RAG vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"cassandra",children:"Cassandra"}),"\n",(0,n.jsxs)(r.p,{children:["This component creates a Cassandra vector store with search capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://cassandra.apache.org/doc/latest/cassandra/vector-search/overview.html",children:"Cassandra 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table."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"cluster_kwargs"}),(0,n.jsx)(r.td,{children:"Dict"}),(0,n.jsx)(r.td,{children:"Additional keyword arguments for the Cassandra cluster."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Query for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsx)(r.td,{children:"Data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"Embedding function to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Number of results to return in search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Type of search to perform."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_score_threshold"}),(0,n.jsx)(r.td,{children:"Float"}),(0,n.jsx)(r.td,{children:"Minimum similarity score for search results."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_filter"}),(0,n.jsx)(r.td,{children:"Dict"}),(0,n.jsx)(r.td,{children:"Metadata filters for search query."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"body_search"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Document textual search terms."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"enable_body_search"}),(0,n.jsx)(r.td,{children:"Boolean"}),(0,n.jsx)(r.td,{children:"Flag to enable body search."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Cassandra"}),(0,n.jsx)(r.td,{children:"The Cassandra vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"List[Data]"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.code,{children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"cassandra-graph",children:"Cassandra Graph"}),"\n",(0,n.jsx)(r.p,{children:"This component implements a Cassandra Graph vector store with search capabilities."}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"database_ref"}),(0,n.jsx)(r.td,{children:"Contact Points / Astra Database ID"}),(0,n.jsx)(r.td,{children:"The contact points for the database or Astra DB database ID. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"username"}),(0,n.jsx)(r.td,{children:"Username"}),(0,n.jsx)(r.td,{children:"The username for the database. Leave this field empty for Astra DB."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"token"}),(0,n.jsx)(r.td,{children:"Password / Astra DB Token"}),(0,n.jsx)(r.td,{children:"The user password for the database or Astra DB token. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"keyspace"}),(0,n.jsx)(r.td,{children:"Keyspace"}),(0,n.jsx)(r.td,{children:"The table or keyspace. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"table_name"}),(0,n.jsx)(r.td,{children:"Table Name"}),(0,n.jsx)(r.td,{children:"The name of the table or Astra DB collection where vectors are stored. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"setup_mode"}),(0,n.jsx)(r.td,{children:"Setup Mode"}),(0,n.jsx)(r.td,{children:'The configuration mode for setting up the Cassandra table. The options are "Sync" or "Off". Default: "Sync".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"cluster_kwargs"}),(0,n.jsx)(r.td,{children:"Cluster arguments"}),(0,n.jsx)(r.td,{children:"An optional dictionary of additional keyword arguments for the Cassandra cluster."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"Search Query"}),(0,n.jsx)(r.td,{children:"The query string for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Ingest Data"}),(0,n.jsx)(r.td,{children:"The list of data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding"}),(0,n.jsx)(r.td,{children:"The embedding model to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"The number of results to return in similarity search. Default: 4."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"Search Type"}),(0,n.jsx)(r.td,{children:'The search type to use. The options are "Traversal", "MMR traversal", "Similarity", "Similarity with score threshold", or "MMR (Max Marginal Relevance)". Default: "Traversal".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"depth"}),(0,n.jsx)(r.td,{children:"Depth of traversal"}),(0,n.jsx)(r.td,{children:'The maximum depth of edges to traverse. Used for "Traversal" or "MMR traversal" search types. Default: 1.'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_score_threshold"}),(0,n.jsx)(r.td,{children:"Search Score Threshold"}),(0,n.jsx)(r.td,{children:'The minimum similarity score threshold for search results. Used for "Similarity with score threshold" search types.'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_filter"}),(0,n.jsx)(r.td,{children:"Search Metadata Filter"}),(0,n.jsx)(r.td,{children:"An optional dictionary of filters to apply to the search query."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The Cassandra Graph vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"chroma-db",children:"Chroma DB"}),"\n",(0,n.jsxs)(r.p,{children:["The ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," component creates an ephemeral, Chroma vector database with search capabilities that you can use for experimentation and vector storage.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.trychroma.com/",children:"Chroma documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Chroma DB sample flow"}),(0,n.jsxs)(r.ol,{children:["\n",(0,n.jsxs)(r.li,{children:["To use this component in a flow, connect it to a component that outputs ",(0,n.jsx)(r.strong,{children:"Data"})," or ",(0,n.jsx)(r.strong,{children:"DataFrame"}),".\nThis example splits text from a ",(0,n.jsx)(r.a,{href:"/components-data#url",children:"URL"})," component, and computes embeddings with the connected ",(0,n.jsx)(r.strong,{children:"OpenAI Embeddings"})," component. Chroma DB computes embeddings by default, but you can connect your own embeddings model, as seen in this example."]}),"\n"]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{alt:"ChromaDB receiving split text",src:t(88690).A+"",width:"4000",height:"2694"})}),(0,n.jsxs)(r.ol,{start:"2",children:["\n",(0,n.jsxs)(r.li,{children:["In the ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," component, in the ",(0,n.jsx)(r.strong,{children:"Collection"})," field, enter a name for your embeddings collection."]}),"\n",(0,n.jsxs)(r.li,{children:["Optionally, to persist the Chroma database, in the ",(0,n.jsx)(r.strong,{children:"Persist"})," field, enter a directory to store the ",(0,n.jsx)(r.code,{children:"chroma.sqlite3"})," file.\nThis example uses ",(0,n.jsx)(r.code,{children:"./chroma-db"})," to create a directory relative to where Langflow is running."]}),"\n",(0,n.jsxs)(r.li,{children:["To load data and embeddings into your Chroma database, in the ",(0,n.jsx)(r.strong,{children:"Chroma DB"})," component, click ",(0,n.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Run component"}),"."]}),"\n"]}),(0,n.jsx)(r.admonition,{type:"tip",children:(0,n.jsxs)(r.p,{children:["When loading duplicate documents, enable the ",(0,n.jsx)(r.strong,{children:"Allow Duplicates"})," option in Chroma DB if you want to store multiple copies of the same content, or disable it to automatically deduplicate your data."]})}),(0,n.jsxs)(r.ol,{start:"5",children:["\n",(0,n.jsxs)(r.li,{children:["To view the split data, in the ",(0,n.jsx)(r.strong,{children:"Split Text"})," component, click ",(0,n.jsx)(c.A,{name:"TextSearch","aria-hidden":"true"})," ",(0,n.jsx)(r.strong,{children:"Inspect output"}),"."]}),"\n",(0,n.jsxs)(r.li,{children:["To query your loaded data, open the ",(0,n.jsx)(r.strong,{children:"Playground"})," and query your database.\nYour input is converted to vector data and compared to the stored vectors in a vector similarity search."]}),"\n"]})]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'The name of the Chroma collection. Default: "langflow".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"persist_directory"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The directory to persist the Chroma database."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The query to search for in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsxs)(r.td,{children:["The data to ingest into the vector store (list of ",(0,n.jsx)(r.code,{children:"Data"})," objects)."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"The embedding function to use for the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_cors_allow_origins"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The CORS allow origins for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_host"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The host for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_http_port"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"The HTTP port for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_grpc_port"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"The gRPC port for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"chroma_server_ssl_enabled"}),(0,n.jsx)(r.td,{children:"Boolean"}),(0,n.jsx)(r.td,{children:"Enable SSL for the Chroma server."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"allow_duplicates"}),(0,n.jsx)(r.td,{children:"Boolean"}),(0,n.jsx)(r.td,{children:"Allow duplicate documents in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_type"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'The type of search to perform: "Similarity" or "MMR".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsxs)(r.td,{children:["The number of results to return from the search. Default: ",(0,n.jsx)(r.code,{children:"10"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"limit"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsxs)(r.td,{children:["The limit of the number of records to compare when ",(0,n.jsx)(r.code,{children:"Allow Duplicates"})," is ",(0,n.jsx)(r.code,{children:"False"}),"."]})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Chroma"}),(0,n.jsx)(r.td,{children:"The Chroma vector store instance."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"List[Data]"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"clickhouse",children:"Clickhouse"}),"\n",(0,n.jsxs)(r.p,{children:["This component implements a Clickhouse vector store with search capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://clickhouse.com/docs/en/intro",children:"Clickhouse Documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"host"}),(0,n.jsx)(r.td,{children:"hostname"}),(0,n.jsx)(r.td,{children:'The Clickhouse server hostname. Required. Default: "localhost".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"port"}),(0,n.jsx)(r.td,{children:"port"}),(0,n.jsx)(r.td,{children:"The Clickhouse server port. Required. Default: 8123."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"database"}),(0,n.jsx)(r.td,{children:"database"}),(0,n.jsx)(r.td,{children:"The Clickhouse database name. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"table"}),(0,n.jsx)(r.td,{children:"Table name"}),(0,n.jsx)(r.td,{children:"The Clickhouse table name. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"username"}),(0,n.jsx)(r.td,{children:"The ClickHouse user name."}),(0,n.jsx)(r.td,{children:"Username for authentication. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"password"}),(0,n.jsx)(r.td,{children:"The password for username."}),(0,n.jsx)(r.td,{children:"Password for authentication. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_type"}),(0,n.jsx)(r.td,{children:"index_type"}),(0,n.jsx)(r.td,{children:'Type of the index. The options are "annoy" and "vector_similarity". Default: "annoy".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metric"}),(0,n.jsx)(r.td,{children:"metric"}),(0,n.jsx)(r.td,{children:'Metric to compute distance. The options are "angular", "euclidean", "manhattan", "hamming", "dot". Default: "angular".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"secure"}),(0,n.jsx)(r.td,{children:"Use https/TLS"}),(0,n.jsx)(r.td,{children:"Overrides inferred values from the interface or port arguments. Default: false."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_param"}),(0,n.jsx)(r.td,{children:"Param of the index"}),(0,n.jsx)(r.td,{children:"Index parameters. Default: \"'L2Distance',100\"."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_query_params"}),(0,n.jsx)(r.td,{children:"index query params"}),(0,n.jsx)(r.td,{children:"Additional index query parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"Search Query"}),(0,n.jsx)(r.td,{children:"The query string for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Ingest Data"}),(0,n.jsx)(r.td,{children:"The data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding"}),(0,n.jsx)(r.td,{children:"The embedding model to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"The number of results to return in similarity search. Default: 4."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"score_threshold"}),(0,n.jsx)(r.td,{children:"Score threshold"}),(0,n.jsx)(r.td,{children:"The threshold for similarity scores."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The Clickhouse vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsx)(r.td,{children:"The results of the similarity search as a list of Data objects."})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"couchbase",children:"Couchbase"}),"\n",(0,n.jsxs)(r.p,{children:["This component creates a Couchbase vector store with search capabilities.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://docs.couchbase.com/home/index.html",children:"Couchbase documentation"}),"."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"couchbase_connection_string"}),(0,n.jsx)(r.td,{children:"SecretString"}),(0,n.jsx)(r.td,{children:"Couchbase Cluster connection string. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"couchbase_username"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Couchbase username. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"couchbase_password"}),(0,n.jsx)(r.td,{children:"SecretString"}),(0,n.jsx)(r.td,{children:"Couchbase password. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"bucket_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase bucket. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"scope_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase scope. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase collection. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"index_name"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Name of the Couchbase index. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The query to search for in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsx)(r.td,{children:"The list of data to ingest into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"The embedding function to use for the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Number of results to return from the search. 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The options are "approximate_k_nearest_neighbors" or "script_scoring".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"distance_strategy"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:'Strategy for distance calculation. The options are "COSINE", "EUCLIDEAN_DISTANCE", or "DOT_PRODUCT".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Query for similarity search."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsx)(r.td,{children:"Data to be ingested into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"Embedding function to use."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsxs)(r.td,{children:["Number of results to return in search. 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Default: "langflow_index".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"persist_directory"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"Path to save the FAISS index. It is relative to where Langflow is running."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"String"}),(0,n.jsx)(r.td,{children:"The query to search for in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"ingest_data"}),(0,n.jsx)(r.td,{children:"Data"}),(0,n.jsx)(r.td,{children:"The list of data to ingest into the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"allow_dangerous_deserialization"}),(0,n.jsx)(r.td,{children:"Boolean"}),(0,n.jsx)(r.td,{children:"Set to True to allow loading pickle files from untrusted sources. Default: True."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embeddings"}),(0,n.jsx)(r.td,{children:"The embedding function to use for the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Integer"}),(0,n.jsx)(r.td,{children:"Number of results to return from the search. Default: 4."})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store"}),(0,n.jsx)(r.td,{children:"The FAISS vector store instance configured with the specified parameters."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"Search Results"}),(0,n.jsxs)(r.td,{children:["The results of the similarity search as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})]})]})]}),"\n",(0,n.jsx)(r.h2,{id:"graph-rag",children:"Graph RAG"}),"\n",(0,n.jsxs)(r.p,{children:["This component performs Graph RAG traversal in a vector store, enabling graph-based document retrieval.\nFor more information, see the ",(0,n.jsx)(r.a,{href:"https://datastax.github.io/graph-rag/",children:"Graph RAG documentation"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["For an example flow, see the ",(0,n.jsx)(r.strong,{children:"Graph RAG"})," template in Langflow."]}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding_model"}),(0,n.jsx)(r.td,{children:"Embedding Model"}),(0,n.jsxs)(r.td,{children:["Specify the embedding model. This is not required for collections embedded with ",(0,n.jsx)(r.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html",children:"Astra vectorize"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"vector_store"}),(0,n.jsx)(r.td,{children:"Vector Store Connection"}),(0,n.jsx)(r.td,{children:"Connection to the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"edge_definition"}),(0,n.jsx)(r.td,{children:"Edge Definition"}),(0,n.jsxs)(r.td,{children:["Edge definition for the graph traversal. For more information, see the ",(0,n.jsx)(r.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/edges/",children:"GraphRAG documentation"}),"."]})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"strategy"}),(0,n.jsx)(r.td,{children:"Traversal Strategies"}),(0,n.jsx)(r.td,{children:"The strategy to use for graph traversal. Strategy options are dynamically loaded from available strategies."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_query"}),(0,n.jsx)(r.td,{children:"Search Query"}),(0,n.jsx)(r.td,{children:"The query to search for in the vector store."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"graphrag_strategy_kwargs"}),(0,n.jsx)(r.td,{children:"Strategy Parameters"}),(0,n.jsxs)(r.td,{children:["Optional dictionary of additional parameters for the retrieval strategy. For more information, see the ",(0,n.jsx)(r.a,{href:"https://datastax.github.io/graph-rag/reference/graph_retriever/strategies/",children:"strategy documentation"}),"."]})]})]})]}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Outputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Type"}),(0,n.jsx)(r.th,{children:"Description"})]})}),(0,n.jsx)(r.tbody,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"search_results"}),(0,n.jsx)(r.td,{children:"List[Data]"}),(0,n.jsxs)(r.td,{children:["Results of the graph-based document retrieval as a list of ",(0,n.jsx)(r.a,{href:"/data-types#data",children:"Data"})," objects."]})]})})]})]}),"\n",(0,n.jsx)(r.h2,{id:"hyper-converged-database-hcd",children:"Hyper-Converged Database (HCD)"}),"\n",(0,n.jsx)(r.p,{children:"This component implements a vector store using HCD."}),"\n",(0,n.jsxs)(r.p,{children:["To use the HCD vector store, add your deployment's collection name, username, password, and HCD Data API endpoint.\nThe endpoint must be formatted like ",(0,n.jsx)(r.code,{children:"http[s]://**DOMAIN_NAME** or **IP_ADDRESS**[:port]"}),", for example, ",(0,n.jsx)(r.code,{children:"http://192.0.2.250:8181"}),"."]}),"\n",(0,n.jsxs)(r.p,{children:["Replace ",(0,n.jsx)(r.strong,{children:"DOMAIN_NAME"})," or ",(0,n.jsx)(r.strong,{children:"IP_ADDRESS"})," with the domain name or IP address of your HCD Data API connection."]}),"\n",(0,n.jsx)(r.p,{children:"To use the HCD vector store for embeddings ingestion, connect it to an embeddings model and a file loader."}),"\n",(0,n.jsx)(r.p,{children:(0,n.jsx)(r.img,{alt:"HCD vector store embeddings ingestion",src:t(42638).A+"",width:"2294",height:"1684"})}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Parameters"}),(0,n.jsx)(r.p,{children:(0,n.jsx)(r.strong,{children:"Inputs"})}),(0,n.jsxs)(r.table,{children:[(0,n.jsx)(r.thead,{children:(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.th,{children:"Name"}),(0,n.jsx)(r.th,{children:"Display Name"}),(0,n.jsx)(r.th,{children:"Info"})]})}),(0,n.jsxs)(r.tbody,{children:[(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_name"}),(0,n.jsx)(r.td,{children:"Collection Name"}),(0,n.jsx)(r.td,{children:"The name of the collection within HCD where the vectors will be stored. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"username"}),(0,n.jsx)(r.td,{children:"HCD Username"}),(0,n.jsx)(r.td,{children:'Authentication username for accessing HCD. Default is "hcd-superuser". Required.'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"password"}),(0,n.jsx)(r.td,{children:"HCD Password"}),(0,n.jsx)(r.td,{children:"Authentication password for accessing HCD. Required."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"api_endpoint"}),(0,n.jsx)(r.td,{children:"HCD API Endpoint"}),(0,n.jsx)(r.td,{children:"API endpoint URL for the HCD service. 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Options are "cosine", "dot_product", "euclidean".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"batch_size"}),(0,n.jsx)(r.td,{children:"Batch Size"}),(0,n.jsx)(r.td,{children:"Optional number of data to process in a single batch."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"bulk_insert_batch_concurrency"}),(0,n.jsx)(r.td,{children:"Bulk Insert Batch Concurrency"}),(0,n.jsx)(r.td,{children:"Optional concurrency level for bulk insert operations."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"bulk_insert_overwrite_concurrency"}),(0,n.jsx)(r.td,{children:"Bulk Insert Overwrite Concurrency"}),(0,n.jsx)(r.td,{children:"Optional concurrency level for bulk insert operations that overwrite existing data."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"bulk_delete_concurrency"}),(0,n.jsx)(r.td,{children:"Bulk Delete Concurrency"}),(0,n.jsx)(r.td,{children:"Optional concurrency level for bulk delete operations."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"setup_mode"}),(0,n.jsx)(r.td,{children:"Setup Mode"}),(0,n.jsx)(r.td,{children:'Configuration mode for setting up the vector store. Options are "Sync", "Async", "Off". Default is "Sync".'})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"pre_delete_collection"}),(0,n.jsx)(r.td,{children:"Pre Delete Collection"}),(0,n.jsx)(r.td,{children:"Boolean flag to determine whether to delete the collection before creating a new one."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metadata_indexing_include"}),(0,n.jsx)(r.td,{children:"Metadata Indexing Include"}),(0,n.jsx)(r.td,{children:"Optional list of metadata fields to include in the indexing."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"embedding"}),(0,n.jsx)(r.td,{children:"Embedding or Astra Vectorize"}),(0,n.jsx)(r.td,{children:"Allows either an embedding model or an Astra Vectorize configuration."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"metadata_indexing_exclude"}),(0,n.jsx)(r.td,{children:"Metadata Indexing Exclude"}),(0,n.jsx)(r.td,{children:"Optional list of metadata fields to exclude from the indexing."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"collection_indexing_policy"}),(0,n.jsx)(r.td,{children:"Collection Indexing Policy"}),(0,n.jsx)(r.td,{children:"Optional dictionary defining the indexing policy for the collection."})]}),(0,n.jsxs)(r.tr,{children:[(0,n.jsx)(r.td,{children:"number_of_results"}),(0,n.jsx)(r.td,{children:"Number of Results"}),(0,n.jsx)(r.td,{children:"Number of results to return in similarity search. 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deleted file mode 100644
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diff --git a/assets/js/97254d1d.cd26bbfa.js b/assets/js/97254d1d.99f76493.js
similarity index 65%
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rename to assets/js/97254d1d.99f76493.js
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--- a/assets/js/97254d1d.cd26bbfa.js
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delete."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.code,{children:"/v2"})," responses contain more descriptive metadata."]}),"\n"]}),"\n",(0,s.jsxs)(o.p,{children:["However, ",(0,s.jsx)(o.code,{children:"/v2/files"})," doesn't support image files.\nTo send image files to your flows through the API, use ",(0,s.jsx)(o.a,{href:"#upload-image-files-v1",children:"Upload image files (v1)"}),"."]}),"\n",(0,s.jsx)(o.h2,{id:"filesv1-endpoints",children:"Files/V1 endpoints"}),"\n",(0,s.jsxs)(o.p,{children:["Use the ",(0,s.jsx)(o.code,{children:"/files"})," endpoints to move files between your local machine and Langflow."]}),"\n",(0,s.jsx)(o.h3,{id:"upload-file-v1",children:"Upload file (v1)"}),"\n",(0,s.jsxs)(o.p,{children:["Upload a file to the ",(0,s.jsx)(o.code,{children:"v1/files/upload/$FLOW_ID"})," endpoint:\nReplace ",(0,s.jsx)(o.strong,{children:"FILE_NAME"})," with the uploaded file 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',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -F ",props:{style:{color:"#79C0FF"}}},{content:'"file=@FILE_NAME.txt"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.code,{children:"FILE_NAME.txt"})," with the name and extension of the file you want to upload.\nNot all file types are supported."]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "flowId"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"92f9a4c5-cfc8-4656-ae63-1f0881163c28"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "file_path"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"92f9a4c5-cfc8-4656-ae63-1f0881163c28/2024-12-30_15-19-43_your_file.txt"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h3,{id:"upload-image-files-v1",children:"Upload image files (v1)"}),"\n",(0,s.jsx)(o.p,{children:"Send image files to Langflow to use them in flows."}),"\n",(0,s.jsxs)(o.p,{children:["The default file limit is 100 MB.\nTo change this limit, set the ",(0,s.jsx)(o.code,{children:"LANGFLOW_MAX_FILE_SIZE_UPLOAD"})," ",(0,s.jsx)(o.a,{href:"/environment-variables",children:"environment variable"}),"."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Attach the image to a ",(0,s.jsx)(o.code,{children:"POST /v1/files/upload/$FLOW_ID"})," request with ",(0,s.jsx)(o.code,{children:"--form"})," (",(0,s.jsx)(o.code,{children:"-F"}),") and the file path:"]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:'POST "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/files/upload/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: multipart/form-data" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -F ",props:{style:{color:"#79C0FF"}}},{content:'"file=@PATH/TO/FILE.png"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["A successful request returns the ",(0,s.jsx)(o.code,{children:"file_path"})," for the image in the Langflow file management system in the format ",(0,s.jsx)(o.code,{children:"FLOW_ID/TIMESTAMP_FILENAME.TYPE"}),".\nFor example:"]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "flowId"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"a430cc57-06bb-4c11-be39-d3d4de68d2c4"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "file_path"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"a430cc57-06bb-4c11-be39-d3d4de68d2c4/2024-11-27_14-47-50_image-file.png"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Use the returned ",(0,s.jsx)(o.code,{children:"file_path"})," to send the image file to other components that can accept file input. Where you specify the file path depends on the component type."]}),"\n",(0,s.jsxs)(o.p,{children:["The following example runs a ",(0,s.jsx)(o.a,{href:"/basic-prompting",children:"Basic Prompting flow"}),", passing the image file and the query ",(0,s.jsx)(o.code,{children:"describe this image"})," as input for the ",(0,s.jsx)(o.strong,{children:"Chat Input"})," component.\nIn this case, the file path is specified in ",(0,s.jsx)(o.code,{children:"tweaks"}),"."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'    "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v1/run/a430cc57-06bb-4c11-be39-d3d4de68d2c4?stream=false" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"    -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"    -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"    -d ",props:{style:{color:"#79C0FF"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "output_type": "chat",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "input_type": "chat",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "tweaks": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "ChatInput-b67sL": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'        "files": "a430cc57-06bb-4c11-be39-d3d4de68d2c4/2024-11-27_14-47-50_image-file.png",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'        "input_value": "describe this image"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsx)(o.admonition,{type:"tip",children:(0,s.jsxs)(o.p,{children:["For help with tweaks, use the ",(0,s.jsx)(o.strong,{children:"Input Schema"})," in a flow's ",(0,s.jsxs)(o.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(o.strong,{children:"API access"})," pane"]}),".\nSetting tweaks with ",(0,s.jsx)(o.strong,{children:"Input Schema"})," also automatically populates the required component IDs."]})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h3,{id:"list-files-v1",children:"List files (v1)"}),"\n",(0,s.jsx)(o.p,{children:"List all files associated with a specific flow."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/files/list/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "files"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}},{content:'"2024-12-30_15-19-43_your_file.txt"',props:{style:{color:"#A5D6FF"}}},{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h3,{id:"download-file-v1",children:"Download file (v1)"}),"\n",(0,s.jsx)(o.p,{children:"Download a specific file from a flow."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/files/download/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'/2024-12-30_15-19-43_your_file.txt" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  --output ",props:{style:{color:"#79C0FF"}}},{content:"downloaded_file.txt",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"File contents downloaded to downloaded_file.txt",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h3,{id:"delete-file-v1",children:"Delete file (v1)"}),"\n",(0,s.jsx)(o.p,{children:"Delete a specific file from a flow."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"DELETE ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/files/delete/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'/2024-12-30_15-19-43_your_file.txt" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "message"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"File 2024-12-30_15-19-43_your_file.txt deleted successfully"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h2,{id:"filesv2-endpoints",children:"Files/V2 endpoints"}),"\n",(0,s.jsxs)(o.p,{children:["Use the ",(0,s.jsx)(o.code,{children:"/files"})," endpoints to move files between your local machine and Langflow."]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.code,{children:"/v2/files"})," endpoints can be authenticated by an API key or JWT.\nTo create a Langflow API key and export it as an environment variable, see ",(0,s.jsx)(o.a,{href:"/api-reference-api-examples",children:"Get started with the Langflow API"}),"."]}),"\n",(0,s.jsx)(o.h3,{id:"upload-file-v2",children:"Upload file (v2)"}),"\n",(0,s.jsx)(o.p,{children:"Upload a file to your user account. The file can be used across multiple flows."}),"\n",(0,s.jsxs)(o.p,{children:["The file is uploaded in the format ",(0,s.jsx)(o.code,{children:"USER_ID/FILE_ID.FILE_EXTENSION"}),", such as ",(0,s.jsx)(o.code,{children:"07e5b864-e367-4f52-b647-a48035ae7e5e/d44dc2e1-9ae9-4cf6-9114-8d34a6126c94.pdf"}),"."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To retrieve your current ",(0,s.jsx)(o.code,{children:"user_id"}),", call the ",(0,s.jsx)(o.code,{children:"/whoami"})," endpoint:"]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v1/users/whoami" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'{"id":"07e5b864-e367-4f52-b647-a48035ae7e5e","username":"langflow","profile_image":null,"store_api_key":null,"is_active":true,"is_superuser":true,"create_at":"2025-05-08T17:59:07.855965","updated_at":"2025-05-28T19:00:42.556460","last_login_at":"2025-05-28T19:00:42.554338","optins":{"github_starred":false,"dialog_dismissed":true,"discord_clicked":false,"mcp_dialog_dismissed":true}}',props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In the POST request to ",(0,s.jsx)(o.code,{children:"v2/files"}),", replace ",(0,s.jsx)(o.strong,{children:"@FILE_NAME.EXTENSION"})," with the uploaded file name and its extension.\nYou must include the ampersand (",(0,s.jsx)(o.code,{children:"@"}),") in the request to instruct curl to upload the contents of the file, not the string ",(0,s.jsx)(o.code,{children:"FILE_NAME.EXTENSION"}),"."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v2/files" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: multipart/form-data" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -F ",props:{style:{color:"#79C0FF"}}},{content:'"file=@FILE_NAME.EXTENSION"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The file is uploaded in the format ",(0,s.jsx)(o.code,{children:"USER_ID/FILE_ID.FILE_EXTENSION"}),", and the API returns metadata about the uploaded file:"]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "id"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"d44dc2e1-9ae9-4cf6-9114-8d34a6126c94"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "name"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"engine_manual"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "path"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"07e5b864-e367-4f52-b647-a48035ae7e5e/d44dc2e1-9ae9-4cf6-9114-8d34a6126c94.pdf"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "size"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:"851160",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "provider"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h3,{id:"send-files-to-your-flows-v2",children:"Send files to your flows (v2)"}),"\n",(0,s.jsx)(o.admonition,{type:"important",children:(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.code,{children:"/v2/files"})," endpoint does not support sending ",(0,s.jsx)(o.strong,{children:"image"})," files to flows.\nTo send ",(0,s.jsx)(o.strong,{children:"image"})," files to your flows through the API, follow the procedure in ",(0,s.jsx)(o.a,{href:"#upload-image-files-v1",children:"Upload image files (v1)"}),"."]})}),"\n",(0,s.jsxs)(o.p,{children:["Send a file to your flow for analysis using the ",(0,s.jsx)(o.a,{href:"/components-data#file",children:"File"})," component and the API.\nYour flow must contain a ",(0,s.jsx)(o.a,{href:"/components-data#file",children:"File"})," component to receive the file."]}),"\n",(0,s.jsxs)(o.p,{children:["The default file limit is 100 MB. To configure this value, change the ",(0,s.jsx)(o.code,{children:"LANGFLOW_MAX_FILE_SIZE_UPLOAD"})," environment variable.\nFor more information, see ",(0,s.jsx)(o.a,{href:"/environment-variables#supported-variables",children:"Supported environment variables"}),"."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To send a file to your flow with the API, POST the file to the ",(0,s.jsx)(o.code,{children:"/api/v2/files"})," endpoint."]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.strong,{children:"FILE_NAME.EXTENSION"})," with the name and extension of the file you want to upload.\nThis is the same step described in ",(0,s.jsx)(o.a,{href:"#upload-file-v2",children:"Upload file (v2)"}),", but since you need the filename to upload to your flow, it is included here."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v2/files" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: multipart/form-data" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -F ",props:{style:{color:"#79C0FF"}}},{content:'"file=@FILE_NAME.EXTENSION"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The file is uploaded in the format ",(0,s.jsx)(o.code,{children:"USER_ID/FILE_ID.FILE_EXTENSION"}),", and the API returns metadata about the uploaded file:"]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "id"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"d44dc2e1-9ae9-4cf6-9114-8d34a6126c94"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "name"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"engine_manual"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "path"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"07e5b864-e367-4f52-b647-a48035ae7e5e/d44dc2e1-9ae9-4cf6-9114-8d34a6126c94.pdf"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "size"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:"851160",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "provider"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To use this file in your flow, add a ",(0,s.jsx)(o.a,{href:"/components-data#file",children:"File"})," component to load a file into the flow."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To load the file into your flow, send it to the ",(0,s.jsx)(o.strong,{children:"File"})," component."]}),"\n",(0,s.jsxs)(o.p,{children:["To retrieve the ",(0,s.jsx)(o.strong,{children:"File"})," component's full name with the UUID attached, call the ",(0,s.jsx)(o.a,{href:"/api-flows#read-flow",children:"Read flow"})," endpoint, and then include your ",(0,s.jsx)(o.strong,{children:"File"})," component and the file path as a tweak with the ",(0,s.jsx)(o.code,{children:"/v1/run"})," POST request.\nIn this example, the file uploaded to ",(0,s.jsx)(o.code,{children:"/v2/files"})," is included with the ",(0,s.jsx)(o.code,{children:"/v1/run"})," POST request."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl --request POST \\",props:{}}]},{tokens:[{content:'  --url "$LANGFLOW_URL/api/v1/run/$FLOW_ID" \\',props:{}}]},{tokens:[{content:'  --header "Content-Type: application/json" \\',props:{}}]},{tokens:[{content:'  --header "x-api-key: $LANGFLOW_API_KEY" \\',props:{}}]},{tokens:[{content:"  --data '{",props:{}}]},{tokens:[{content:'  "input_value": "what do you see?",',props:{}}]},{tokens:[{content:'  "output_type": "chat",',props:{}}]},{tokens:[{content:'  "input_type": "text",',props:{}}]},{tokens:[{content:'  "tweaks": {',props:{}}]},{tokens:[{content:'    "File-1olS3": {',props:{}}]},{tokens:[{content:'      "path": [',props:{}}]},{tokens:[{content:'        "07e5b864-e367-4f52-b647-a48035ae7e5e/3a290013-fe1e-4d3d-a454-cacae81288f3.pdf"',props:{}}]},{tokens:[{content:"      ]",props:{}}]},{tokens:[{content:"    }",props:{}}]},{tokens:[{content:"  }",props:{}}]},{tokens:[{content:"}'",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'"text":"This document provides important safety information and instructions for selecting, installing, and operating Briggs & Stratton engines. It includes warnings and guidelines to prevent injury, fire, or damage, such as choosing the correct engine model, proper installation procedures, safe fuel handling, and correct engine operation. The document emphasizes following all safety precautions and using authorized parts to ensure safe and effective engine use."',props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h3,{id:"list-files-v2",children:"List files (v2)"}),"\n",(0,s.jsx)(o.p,{children:"List all files associated with your user account."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v2/files" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"[",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"c7b22c4c-d5e0-4ec9-af97-5d85b7657a34"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"your_file"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "path"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"6f17a73e-97d7-4519-a8d9-8e4c0be411bb/c7b22c4c-d5e0-4ec9-af97-5d85b7657a34.txt"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "size"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"1234",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "provider"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"]",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h3,{id:"download-file-v2",children:"Download file (v2)"}),"\n",(0,s.jsx)(o.p,{children:"Download a specific file by its ID and file extension."}),"\n",(0,s.jsxs)(o.p,{children:["You must specify the file type you expect in the ",(0,s.jsx)(o.code,{children:"--output"})," value."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v2/files/c7b22c4c-d5e0-4ec9-af97-5d85b7657a34" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  --output ",props:{style:{color:"#79C0FF"}}},{content:"downloaded_file.txt",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"File contents downloaded to 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',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "id"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"76543e40-f388-4cb3-b0ee-a1e870aca3d3"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "name"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"new_file_name"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "path"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"6f17a73e-97d7-4519-a8d9-8e4c0be411bb/76543e40-f388-4cb3-b0ee-a1e870aca3d3.png"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "size"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"2728251",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "provider"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h3,{id:"delete-file-v2",children:"Delete file (v2)"}),"\n",(0,s.jsx)(o.p,{children:"Delete a specific file by its ID."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"DELETE ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v2/files/",props:{style:{color:"#A5D6FF"}}},{content:"$FILE_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: 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"flowId"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"a430cc57-06bb-4c11-be39-d3d4de68d2c4"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "file_path"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"a430cc57-06bb-4c11-be39-d3d4de68d2c4/2024-11-27_14-47-50_image-file.png"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Use the returned ",(0,s.jsx)(o.code,{children:"file_path"})," to send the image file to other components that can accept file input. Where you specify the file path depends on the component type."]}),"\n",(0,s.jsxs)(o.p,{children:["The following example runs a ",(0,s.jsx)(o.a,{href:"/basic-prompting",children:"Basic Prompting flow"}),", passing the image file and the query ",(0,s.jsx)(o.code,{children:"describe this image"})," as input for the ",(0,s.jsx)(o.strong,{children:"Chat Input"})," component.\nIn this case, the file path is specified in ",(0,s.jsx)(o.code,{children:"tweaks"}),"."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'    "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v1/run/a430cc57-06bb-4c11-be39-d3d4de68d2c4?stream=false" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"    -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"    -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"    -d ",props:{style:{color:"#79C0FF"}}},{content:"'{",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "output_type": "chat",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "input_type": "chat",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'    "tweaks": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'      "ChatInput-b67sL": {',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'        "files": "a430cc57-06bb-4c11-be39-d3d4de68d2c4/2024-11-27_14-47-50_image-file.png",',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:'        "input_value": "describe this image"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    }",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"  }'",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsx)(o.admonition,{type:"tip",children:(0,s.jsxs)(o.p,{children:["For help with tweaks, use the ",(0,s.jsx)(o.strong,{children:"Input Schema"})," in a flow's ",(0,s.jsxs)(o.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(o.strong,{children:"API access"})," pane"]}),".\nSetting tweaks with ",(0,s.jsx)(o.strong,{children:"Input Schema"})," also automatically populates the required component IDs."]})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h3,{id:"list-files-v1",children:"List files (v1)"}),"\n",(0,s.jsx)(o.p,{children:"List all files associated with a specific flow."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/files/list/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "files"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}},{content:'"2024-12-30_15-19-43_your_file.txt"',props:{style:{color:"#A5D6FF"}}},{content:"]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h3,{id:"download-file-v1",children:"Download file (v1)"}),"\n",(0,s.jsx)(o.p,{children:"Download a specific file from a flow."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/files/download/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'/2024-12-30_15-19-43_your_file.txt" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  --output ",props:{style:{color:"#79C0FF"}}},{content:"downloaded_file.txt",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"File contents downloaded to downloaded_file.txt",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h3,{id:"delete-file-v1",children:"Delete file (v1)"}),"\n",(0,s.jsx)(o.p,{children:"Delete a specific file from a flow."}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"DELETE ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:"/api/v1/files/delete/",props:{style:{color:"#A5D6FF"}}},{content:"$FLOW_ID",props:{style:{color:"#C9D1D9"}}},{content:'/2024-12-30_15-19-43_your_file.txt" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "message"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"File 2024-12-30_15-19-43_your_file.txt deleted successfully"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),"\n",(0,s.jsx)(o.h2,{id:"filesv2-endpoints",children:"Files/V2 endpoints"}),"\n",(0,s.jsxs)(o.p,{children:["Use the ",(0,s.jsx)(o.code,{children:"/files"})," endpoints to move files between your local machine and Langflow."]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.code,{children:"/v2/files"})," endpoints can be authenticated by an API key or JWT.\nTo create a Langflow API key and export it as an environment variable, see ",(0,s.jsx)(o.a,{href:"/api-reference-api-examples",children:"Get started with the Langflow API"}),"."]}),"\n",(0,s.jsx)(o.h3,{id:"upload-file-v2",children:"Upload file (v2)"}),"\n",(0,s.jsx)(o.p,{children:"Upload a file to your user account. The file can be used across multiple flows."}),"\n",(0,s.jsxs)(o.p,{children:["The file is uploaded in the format ",(0,s.jsx)(o.code,{children:"USER_ID/FILE_ID.FILE_EXTENSION"}),", such as ",(0,s.jsx)(o.code,{children:"07e5b864-e367-4f52-b647-a48035ae7e5e/d44dc2e1-9ae9-4cf6-9114-8d34a6126c94.pdf"}),"."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To retrieve your current ",(0,s.jsx)(o.code,{children:"user_id"}),", call the ",(0,s.jsx)(o.code,{children:"/whoami"})," endpoint:"]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"GET ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v1/users/whoami" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(t,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:'{"id":"07e5b864-e367-4f52-b647-a48035ae7e5e","username":"langflow","profile_image":null,"store_api_key":null,"is_active":true,"is_superuser":true,"create_at":"2025-05-08T17:59:07.855965","updated_at":"2025-05-28T19:00:42.556460","last_login_at":"2025-05-28T19:00:42.554338","optins":{"github_starred":false,"dialog_dismissed":true,"discord_clicked":false,"mcp_dialog_dismissed":true}}',props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In the POST request to ",(0,s.jsx)(o.code,{children:"v2/files"}),", replace ",(0,s.jsx)(o.strong,{children:"@FILE_NAME.EXTENSION"})," with the uploaded file name and its extension.\nYou must include the ampersand (",(0,s.jsx)(o.code,{children:"@"}),") in the request to instruct curl to upload the contents of the file, not the string ",(0,s.jsx)(o.code,{children:"FILE_NAME.EXTENSION"}),"."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v2/files" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: multipart/form-data" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -F ",props:{style:{color:"#79C0FF"}}},{content:'"file=@FILE_NAME.EXTENSION"',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The file is uploaded in the format ",(0,s.jsx)(o.code,{children:"USER_ID/FILE_ID.FILE_EXTENSION"}),", and the API returns metadata about the uploaded file:"]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "id"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"d44dc2e1-9ae9-4cf6-9114-8d34a6126c94"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "name"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"engine_manual"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "path"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:'"07e5b864-e367-4f52-b647-a48035ae7e5e/d44dc2e1-9ae9-4cf6-9114-8d34a6126c94.pdf"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "size"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:"851160",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "provider"',props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}},{content:"null",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h3,{id:"send-files-to-your-flows-v2",children:"Send files to your flows (v2)"}),"\n",(0,s.jsx)(o.admonition,{type:"important",children:(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.code,{children:"/v2/files"})," endpoint can't send image files to flows.\nTo send image files to your flows through the API, see ",(0,s.jsx)(o.a,{href:"#upload-image-files-v1",children:"Upload image files (v1)"}),"."]})}),"\n",(0,s.jsxs)(o.p,{children:["Send a file to your flow for analysis using the ",(0,s.jsx)(o.a,{href:"/components-data#file",children:"File"})," component and the API.\nYour flow must contain a ",(0,s.jsx)(o.a,{href:"/components-data#file",children:"File"})," component to receive the file."]}),"\n",(0,s.jsxs)(o.p,{children:["The default file limit is 100 MB. To configure this value, change the ",(0,s.jsx)(o.code,{children:"LANGFLOW_MAX_FILE_SIZE_UPLOAD"})," environment variable.\nFor more information, see ",(0,s.jsx)(o.a,{href:"/environment-variables#supported-variables",children:"Supported environment variables"}),"."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To send a file to your flow with the API, POST the file to the ",(0,s.jsx)(o.code,{children:"/api/v2/files"})," endpoint."]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.strong,{children:"FILE_NAME.EXTENSION"})," with the name and extension of the file you want to upload.\nThis is the same step described in ",(0,s.jsx)(o.a,{href:"#upload-file-v2",children:"Upload file (v2)"}),", but since you need the filename to upload to your flow, it is included here."]}),"\n",(0,s.jsx)(a.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_URL",props:{style:{color:"#C9D1D9"}}},{content:'/api/v2/files" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"accept: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: multipart/form-data" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: ',props:{style:{color:"#A5D6FF"}}},{content:"$LANGFLOW_API_KEY",props:{style:{color:"#C9D1D9"}}},{content:'" 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diff --git a/assets/js/9895db20.27d56105.js b/assets/js/9895db20.27d56105.js
new file mode 100644
index 0000000000..9b289e0623
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",(0,a.jsx)(n.a,{href:"https://github.com/datastax/astra-db-mcp",children:"Datastax Astra DB MCP server"}),"."]}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Install an LTS release of ",(0,a.jsx)(n.a,{href:"https://docs.npmjs.com/downloading-and-installing-node-js-and-npm",children:"Node.js"}),"."]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Create an ",(0,a.jsx)(n.a,{href:"https://platform.openai.com/",children:"OpenAI"})," API key."]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Create an ",(0,a.jsx)(n.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html#create-vector-database",children:"Astra DB Serverless (Vector) database"}),", if you don't already have one."]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Get your database's Astra DB API endpoint and an Astra application token with the ",(0,a.jsx)(n.strong,{children:"Database Administrator"})," role. For more information, see ",(0,a.jsx)(n.a,{href:"https://docs.datastax.com/en/astra-db-serverless/administration/manage-application-tokens.html#database-token",children:"Generate an application token for a database"}),"."]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["To follow along with this guide, create a flow based on the ",(0,a.jsxs)(n.a,{href:"/simple-agent",children:[(0,a.jsx)(n.strong,{children:"Simple Agent"})," template"]}),"."]}),"\n",(0,a.jsx)(n.p,{children:"You can also use an existing flow or create a blank flow."}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Remove the ",(0,a.jsx)(n.strong,{children:"URL"})," tool, and then replace it with an ",(0,a.jsxs)(n.a,{href:"/mcp-client",children:[(0,a.jsx)(n.strong,{children:"MCP Tools"})," component"]}),"."]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Configure the ",(0,a.jsx)(n.strong,{children:"MCP Tools"})," component as follows:"]}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Select ",(0,a.jsx)(n.strong,{children:"Stdio"})," mode."]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["In the ",(0,a.jsx)(n.strong,{children:"MCP server"})," field, add the following code to connect to an Astra DB MCP server:"]}),"\n",(0,a.jsx)(u.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"npx ",props:{style:{color:"#FFA657"}}},{content:"-y ",props:{style:{color:"#79C0FF"}}},{content:"@datastax/astra-db-mcp",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["In the ",(0,a.jsx)(n.strong,{children:"Env"})," fields, add variables for ",(0,a.jsx)(n.code,{children:"ASTRA_DB_APPLICATION_TOKEN"})," and ",(0,a.jsx)(n.code,{children:"ASTRA_DB_API_ENDPOINT"})," with the values from your Astra database."]}),"\n",(0,a.jsxs)(n.admonition,{type:"important",children:[(0,a.jsxs)(n.p,{children:["Environment variables declared in your Langflow ",(0,a.jsx)(n.code,{children:".env"})," file can be referenced in your MCP server commands, but you cannot reference global variables declared in Langflow."]}),(0,a.jsxs)(n.p,{children:["If you want to use variables for ",(0,a.jsx)(n.code,{children:"ASTRA_DB_APPLICATION_TOKEN"})," and ",(0,a.jsx)(n.code,{children:"ASTRA_DB_API_ENDPOINT"}),", add them to Langflow's ",(0,a.jsx)(n.code,{children:".env"})," file, and then restart Langflow.\nFor more information, see ",(0,a.jsx)(n.a,{href:"/configuration-global-variables",children:"global variables"}),"."]})]}),"\n",(0,a.jsxs)(n.p,{children:["Add each variable separately.\nTo add another variable field click ",(0,a.jsx)(l.A,{name:"Plus","aria-hidden":"true"})," ",(0,a.jsx)(n.strong,{children:"Add More"}),"."]}),"\n",(0,a.jsx)(u.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ASTRA_DB_APPLICATION_TOKEN",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"AstraCS:...",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,a.jsx)(u.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ASTRA_DB_API_ENDPOINT",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"https://...-us-east-2.apps.astra.datastax.com",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["In the ",(0,a.jsx)(n.strong,{children:"Agent"})," component, add your ",(0,a.jsx)(n.strong,{children:"OpenAI API key"}),"."]}),"\n",(0,a.jsxs)(n.p,{children:["The default model is an OpenAI model.\nIf you want to use a different model, edit the ",(0,a.jsx)(n.strong,{children:"Model Provider"}),", ",(0,a.jsx)(n.strong,{children:"Model Name"}),", and ",(0,a.jsx)(n.strong,{children:"API Key"})," fields accordingly."]}),"\n",(0,a.jsx)(n.p,{children:(0,a.jsx)(n.img,{alt:"The Simple Agent flow with the URL tool replaced by an MCP Tools component, and the MCP Tools component launching an Astra DB MCP server",src:t(6892).A+"",width:"4000",height:"2450"})}),"\n"]}),"\n",(0,a.jsxs)(n.li,{children:["\n",(0,a.jsxs)(n.p,{children:["Open the ",(0,a.jsx)(n.strong,{children:"Playground"}),", and then ask the agent, ",(0,a.jsx)(n.code,{children:"What collections are available?"})]}),"\n",(0,a.jsx)(n.p,{children:"Since Langflow is connected to your Astra DB database through the MCP server, the agent chooses the correct tool and connects to your database to retrieve the answer.\nFor example:"}),"\n",(0,a.jsx)(u.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"The available collections in your database are:",props:{}}]},{tokens:[{content:"collection_002",props:{}}]},{tokens:[{content:"hardware_requirements",props:{}}]},{tokens:[{content:"load_collection",props:{}}]},{tokens:[{content:"nvidia_collection",props:{}}]},{tokens:[{content:"software_requirements",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]})]})}function m(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(f,{...e})}):f(e)}function g(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}}}]);
\ No newline at end of file
diff --git a/assets/js/a03d4ed9.1c2210e4.js b/assets/js/a03d4ed9.1c2210e4.js
deleted file mode 100644
index 61c96498fc..0000000000
--- a/assets/js/a03d4ed9.1c2210e4.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[6541],{1272:(e,n,t)=>{t.d(n,{A:()=>r});const r=t.p+"assets/images/starter-flow-blog-writer-d4532addb415089ccfe076e30764eba2.png"},17886:(e,n,t)=>{t.d(n,{A:()=>s});t(96540);var r=t(64058),o=t(74848);function s({name:e,...n}){const t=r[e];return t?(0,o.jsx)(t,{...n}):null}},82844:(e,n,t)=>{t.r(n),t.d(n,{CH:()=>h,assets:()=>a,chCodeConfig:()=>g,contentTitle:()=>l,default:()=>x,frontMatter:()=>d,metadata:()=>r,toc:()=>p});const r=JSON.parse('{"id":"Templates/blog-writer","title":"Blog writer","description":"This flow demonstrates adding an additional  input to the Prompt component to capture input from the URL and Parser components.","source":"@site/docs/Templates/blog-writer.mdx","sourceDirName":"Templates","slug":"/blog-writer","permalink":"/blog-writer","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Blog 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component."]}),"\n",(0,o.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/get-started-installation",children:"A running Langflow instance"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"https://platform.openai.com/",children:"An OpenAI API key"})}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"create-the-blog-writer-flow",children:"Create the blog writer flow"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["From the Langflow dashboard, click ",(0,o.jsx)(n.strong,{children:"New Flow"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Select ",(0,o.jsx)(n.strong,{children:"Blog Writer"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"Blog Writer"})," flow is created."]}),"\n",(0,o.jsx)(n.p,{children:(0,o.jsx)(n.img,{alt:"Blog writer starter flow",src:t(1272).A+"",width:"4000",height:"1534"})}),"\n",(0,o.jsxs)(n.p,{children:["This flow creates a blog article generator with ",(0,o.jsx)(n.strong,{children:"Prompt"}),", ",(0,o.jsx)(n.strong,{children:"Language Model"}),", and ",(0,o.jsx)(n.strong,{children:"Chat Output"})," components, augmented with reference content and instructions from the ",(0,o.jsx)(n.strong,{children:"URL"})," and ",(0,o.jsx)(n.strong,{children:"Text Input"})," components."]}),"\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"URL"})," component extracts raw text and metadata from one or more web links.\nThe ",(0,o.jsx)(n.strong,{children:"Parser"})," component converts the data coming from the ",(0,o.jsx)(n.strong,{children:"URL"})," component into plain text to feed the prompt."]}),"\n",(0,o.jsxs)(n.p,{children:["To examine the flow's prompt, click the ",(0,o.jsx)(n.strong,{children:"Template"})," field of the ",(0,o.jsx)(n.strong,{children:"Prompt"})," component."]}),"\n",(0,o.jsx)(h.Code,{codeConfig:g,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Reference 1:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"{references}",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"---",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"{instructions}",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Blog:",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.code,{children:"{instructions}"})," value is received from the ",(0,o.jsx)(n.strong,{children:"Text Input"})," component, and one or more ",(0,o.jsx)(n.code,{children:"{references}"})," are received from a list of URLs parsed from the ",(0,o.jsx)(n.strong,{children:"URL"})," component."]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.h3,{id:"run-the-blog-writer-flow",children:"Run the blog writer flow"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Add your ",(0,o.jsx)(n.strong,{children:"OpenAI API key"})," to the ",(0,o.jsx)(n.strong,{children:"Language model"})," model component.\nOptionally, create a ",(0,o.jsx)(n.a,{href:"/configuration-global-variables",children:"global variable"})," for the ",(0,o.jsx)(n.strong,{children:"OpenAI API key"}),"."]}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["In the ",(0,o.jsx)(n.strong,{children:"OpenAI API Key"})," field, click ",(0,o.jsx)(c.A,{name:"Globe","aria-hidden":"True"})," ",(0,o.jsx)(n.strong,{children:"Globe"}),", and then click ",(0,o.jsx)(n.strong,{children:"Add New Variable"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["In the ",(0,o.jsx)(n.strong,{children:"Variable Name"})," field, enter ",(0,o.jsx)(n.code,{children:"openai_api_key"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["In the ",(0,o.jsx)(n.strong,{children:"Value"})," field, paste your OpenAI API Key (",(0,o.jsx)(n.code,{children:"sk-..."}),")."]}),"\n",(0,o.jsxs)(n.li,{children:["Click ",(0,o.jsx)(n.strong,{children:"Save Variable"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["To run the flow, click ",(0,o.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Playground"}),", and then click ",(0,o.jsx)(n.strong,{children:"Run Flow"}),".\nA blog post about Langflow is generated, with content sourced from ",(0,o.jsx)(n.code,{children:"langflow.org"})," and ",(0,o.jsx)(n.code,{children:"docs.langflow.org"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["To write about something different, change the values in the ",(0,o.jsx)(n.strong,{children:"URL"})," component and adjust the instructions in the ",(0,o.jsx)(n.strong,{children:"Text input"})," component. Try again and see what the LLM constructs."]}),"\n"]}),"\n"]})]})}function x(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(u,{...e})}):u(e)}function f(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}}}]);
\ No newline at end of file
diff --git a/assets/js/a03d4ed9.7560c6d2.js b/assets/js/a03d4ed9.7560c6d2.js
new file mode 100644
index 0000000000..6a2ccfae2c
--- /dev/null
+++ b/assets/js/a03d4ed9.7560c6d2.js
@@ -0,0 +1 @@
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diff --git a/assets/js/ab072087.1e08bde3.js b/assets/js/ab072087.1e08bde3.js
deleted file mode 100644
index ecc1dece06..0000000000
--- a/assets/js/ab072087.1e08bde3.js
+++ /dev/null
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The server automatically selects a free port if the specified port is in use.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_PORT",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_PORT"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-components-path"}),(0,o.jsx)(n.code,{children:"--components-path"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"langflow/components"})}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsxs)(n.td,{children:["Path to the directory containing custom components.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_COMPONENTS_PATH",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_COMPONENTS_PATH"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-env-file"}),(0,o.jsx)(n.code,{children:"--env-file"})]}),(0,o.jsx)(n.td,{children:"Not set"}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsxs)(n.td,{children:["Path to the ",(0,o.jsx)(n.code,{children:".env"})," file containing environment variables.",(0,o.jsx)("br",{}),"See ",(0,o.jsx)(n.a,{href:"/environment-variables#configure-variables-env-file",children:"Import environment variables from a .env file"}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-log-level"}),(0,o.jsx)(n.code,{children:"--log-level"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"critical"})}),(0,o.jsxs)(n.td,{children:[(0,o.jsx)(n.code,{children:"debug"}),(0,o.jsx)("br",{}),(0,o.jsx)(n.code,{children:"info"}),(0,o.jsx)("br",{}),(0,o.jsx)(n.code,{children:"warning"}),(0,o.jsx)("br",{}),(0,o.jsx)(n.code,{children:"error"}),(0,o.jsx)("br",{}),(0,o.jsx)(n.code,{children:"critical"})]}),(0,o.jsxs)(n.td,{children:["Set the logging level.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_LOG_LEVEL",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_LOG_LEVEL"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-log-file"}),(0,o.jsx)(n.code,{children:"--log-file"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"logs/langflow.log"})}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsxs)(n.td,{children:["Set the path to the log file for Langflow.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_LOG_FILE",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_LOG_FILE"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-cache"}),(0,o.jsx)(n.code,{children:"--cache"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"async"})}),(0,o.jsxs)(n.td,{children:[(0,o.jsx)(n.code,{children:"async"}),(0,o.jsx)("br",{}),(0,o.jsx)(n.code,{children:"redis"}),(0,o.jsx)("br",{}),(0,o.jsx)(n.code,{children:"memory"}),(0,o.jsx)("br",{}),(0,o.jsx)(n.code,{children:"disk"})]}),(0,o.jsxs)(n.td,{children:["Type of cache to use.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_CACHE_TYPE",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_CACHE_TYPE"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-frontend-path"}),(0,o.jsx)(n.code,{children:"--frontend-path"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"./frontend"})}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsxs)(n.td,{children:["Path to the frontend directory containing build files. This is for development purposes only.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_FRONTEND_PATH",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_FRONTEND_PATH"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-open-browser"}),(0,o.jsx)(n.code,{children:"--open-browser"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"true"})}),(0,o.jsx)(n.td,{children:"Boolean"}),(0,o.jsxs)(n.td,{children:["Open the system web browser on startup. Use ",(0,o.jsx)(n.code,{children:"--no-open-browser"})," to disable opening the system web browser on startup.",(0,o.jsx)("br",{})," See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_OPEN_BROWSER",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_OPEN_BROWSER"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-remove-api-keys"}),(0,o.jsx)(n.code,{children:"--remove-api-keys"})]}),(0,o.jsxs)(n.td,{children:[(0,o.jsx)(n.code,{children:"false"})," (",(0,o.jsx)(n.code,{children:"--no-remove-api-keys"}),")"]}),(0,o.jsx)(n.td,{children:"Boolean"}),(0,o.jsxs)(n.td,{children:["Remove API keys from the projects saved in the database.",(0,o.jsx)("br",{})," See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_REMOVE_API_KEYS",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_REMOVE_API_KEYS"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-backend-only"}),(0,o.jsx)(n.code,{children:"--backend-only"})]}),(0,o.jsxs)(n.td,{children:[(0,o.jsx)(n.code,{children:"false"})," (",(0,o.jsx)(n.code,{children:"--no-backend-only"}),")"]}),(0,o.jsx)(n.td,{children:"Boolean"}),(0,o.jsxs)(n.td,{children:["Only run Langflow's backend server (no frontend).",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_BACKEND_ONLY",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_BACKEND_ONLY"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-store"}),(0,o.jsx)(n.code,{children:"--store"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"true"})}),(0,o.jsx)(n.td,{children:"Boolean"}),(0,o.jsxs)(n.td,{children:["Enable the Langflow Store features. Use ",(0,o.jsx)(n.code,{children:"--no-store"})," to disable the Langflow Store features.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_STORE",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_STORE"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-auto-saving"}),(0,o.jsx)(n.code,{children:"--auto-saving"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"true"})}),(0,o.jsx)(n.td,{children:"Boolean"}),(0,o.jsxs)(n.td,{children:["Enable flow auto-saving. Use ",(0,o.jsx)(n.code,{children:"--no-auto-saving"})," to disable flow auto-saving.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_AUTO_SAVING",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_AUTO_SAVING"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-auto-saving-interval"}),(0,o.jsx)(n.code,{children:"--auto-saving-interval"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"1000"})}),(0,o.jsx)(n.td,{children:"Integer"}),(0,o.jsxs)(n.td,{children:["Set the interval for flow auto-saving in milliseconds.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_AUTO_SAVING_INTERVAL",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_AUTO_SAVING_INTERVAL"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-health-check-max-retries"}),(0,o.jsx)(n.code,{children:"--health-check-max-retries"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"5"})}),(0,o.jsx)(n.td,{children:"Integer"}),(0,o.jsxs)(n.td,{children:["Set the maximum number of retries for the health check. Use ",(0,o.jsx)(n.code,{children:"--no-health-check-max-retries"})," to disable the maximum number of retries for the health check.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_HEALTH_CHECK_MAX_RETRIES",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_HEALTH_CHECK_MAX_RETRIES"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-max-file-size-upload"}),(0,o.jsx)(n.code,{children:"--max-file-size-upload"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.code,{children:"100"})}),(0,o.jsx)(n.td,{children:"Integer"}),(0,o.jsxs)(n.td,{children:["Set the maximum file size for the upload in megabytes.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_MAX_FILE_SIZE_UPLOAD",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_MAX_FILE_SIZE_UPLOAD"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-ssl-cert-file-path"}),(0,o.jsx)(n.code,{children:"--ssl-cert-file-path"})]}),(0,o.jsx)(n.td,{children:"Not set"}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsx)(n.td,{children:"Path to the SSL certificate file on the local system."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-ssl-key-file-path"}),(0,o.jsx)(n.code,{children:"--ssl-key-file-path"})]}),(0,o.jsx)(n.td,{children:"Not set"}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsx)(n.td,{children:"Path to the SSL key file on the local system."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-help"}),(0,o.jsx)(n.code,{children:"--help"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.em,{children:"Not applicable"})}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.em,{children:"Not applicable"})}),(0,o.jsx)(n.td,{children:"Display information about the command usage and its options and arguments."})]})]})]}),"\n",(0,o.jsx)(n.h3,{id:"langflow-superuser",children:"langflow superuser"}),"\n",(0,o.jsx)(n.p,{children:"Create a superuser account."}),"\n",(0,o.jsx)(h.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"langflow ",props:{style:{color:"#FFA657"}}},{content:"superuser",props:{style:{color:"#A5D6FF"}}},{content:" [OPTIONS]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# or",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"python ",props:{style:{color:"#FFA657"}}},{content:"-m ",props:{style:{color:"#79C0FF"}}},{content:"langflow superuser",props:{style:{color:"#A5D6FF"}}},{content:" [OPTIONS]",props:{style:{color:"#C9D1D9"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,o.jsx)(n.h4,{id:"options-5",children:"Options"}),"\n",(0,o.jsxs)(n.table,{children:[(0,o.jsx)(n.thead,{children:(0,o.jsxs)(n.tr,{children:[(0,o.jsx)(n.th,{children:"Option"}),(0,o.jsx)(n.th,{children:"Default"}),(0,o.jsx)(n.th,{children:"Values"}),(0,o.jsx)(n.th,{children:"Description"})]})}),(0,o.jsxs)(n.tbody,{children:[(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"superuser-username"}),(0,o.jsx)(n.code,{children:"--username"})]}),(0,o.jsx)(n.td,{children:"Required"}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsxs)(n.td,{children:["Specify the name for the superuser.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_SUPERUSER",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"superuser-password"}),(0,o.jsx)(n.code,{children:"--password"})]}),(0,o.jsx)(n.td,{children:"Required"}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsxs)(n.td,{children:["Specify the password for the superuser.",(0,o.jsx)("br",{}),"See ",(0,o.jsxs)(n.a,{href:"/environment-variables#LANGFLOW_SUPERUSER_PASSWORD",children:[(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," variable"]}),"."]})]})]})]}),"\n",(0,o.jsx)(n.h2,{id:"precedence",children:"Precedence"}),"\n",(0,o.jsxs)(n.p,{children:["Langflow CLI options override the values of corresponding ",(0,o.jsx)(n.a,{href:"/environment-variables",children:"environment variables"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["For example, if you have ",(0,o.jsx)(n.code,{children:"LANGFLOW_PORT=7860"})," defined as an environment variable, but you run the CLI with ",(0,o.jsx)(n.code,{children:"--port 7880"}),", Langflow sets the port to 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diff --git a/assets/js/ab072087.c8869978.js b/assets/js/ab072087.c8869978.js
new file mode 100644
index 0000000000..6e2db83de1
--- /dev/null
+++ b/assets/js/ab072087.c8869978.js
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variable"]}),"."]})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-ssl-cert-file-path"}),(0,o.jsx)(n.code,{children:"--ssl-cert-file-path"})]}),(0,o.jsx)(n.td,{children:"Not set"}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsx)(n.td,{children:"Path to the SSL certificate file on the local system."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-ssl-key-file-path"}),(0,o.jsx)(n.code,{children:"--ssl-key-file-path"})]}),(0,o.jsx)(n.td,{children:"Not set"}),(0,o.jsx)(n.td,{children:"String"}),(0,o.jsx)(n.td,{children:"Path to the SSL key file on the local system."})]}),(0,o.jsxs)(n.tr,{children:[(0,o.jsxs)(n.td,{children:[(0,o.jsx)(l.A,{id:"run-help"}),(0,o.jsx)(n.code,{children:"--help"})]}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.em,{children:"Not applicable"})}),(0,o.jsx)(n.td,{children:(0,o.jsx)(n.em,{children:"Not applicable"})}),(0,o.jsx)(n.td,{children:"Display information about the command usage and its options and 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diff --git a/assets/js/acebef04.1ae6a891.js b/assets/js/acebef04.1ae6a891.js
new file mode 100644
index 0000000000..edcb8d5ce1
--- /dev/null
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",(0,r.jsx)(n.a,{href:"https://docs.github.com/en/get-started/quickstart/contributing-to-projects",children:"fork and pull request"})," workflow."]}),"\n",(0,r.jsx)(n.h2,{id:"install-langflow-from-source",children:"Install Langflow from source"}),"\n",(0,r.jsx)(n.p,{children:"Install Langflow from source by forking the repository, and then set up your development environment using Make."}),"\n",(0,r.jsx)(n.h3,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.a,{href:"https://docs.astral.sh/uv/getting-started/installation/",children:"uv"})," version 0.4 or later"]}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"https://nodejs.org/en/download/package-manager",children:"Node.js"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"https://www.gnu.org/software/make/#documentation",children:"Make"})}),"\n"]}),"\n",(0,r.jsx)(n.admonition,{title:"Windows",type:"tip",children:(0,r.jsxs)(n.p,{children:["For Windows installations, you don't need need Make, and you can find ",(0,r.jsx)(n.a,{href:"https://github.com/langflow-ai/langflow/tree/main/scripts/windows",children:"Windows scripts"})," in the Langflow repository."]})}),"\n",(0,r.jsx)(n.h3,{id:"clone-the-langflow-repository",children:"Clone the Langflow repository"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Fork the ",(0,r.jsx)(n.a,{href:"https://github.com/langflow-ai/langflow",children:"Langflow GitHub repository"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add the new remote to your local repository on your local machine:"}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"git ",props:{style:{color:"#FFA657"}}},{content:"remote add FORK_NAME https://github.com/GIT_USERNAME/langflow.git",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsx)(n.p,{children:"Replace the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"FORK_NAME"}),": A name for your fork of the repository"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"GIT_USERNAME"}),": Your Git username"]}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"run-langflow-from-source",children:"Run Langflow from source"}),"\n",(0,r.jsx)(n.p,{children:"You can run Langflow from source after cloning the repository, even if you're not contributing to the codebase."}),"\n",(0,r.jsxs)(o,{children:[(0,r.jsx)("summary",{children:"Run from source on macOS/Linux"}),(0,r.jsxs)(n.p,{children:["In your terminal, navigate to the root of the Langflow directory, and then run ",(0,r.jsx)(n.code,{children:"make run_cli"}),"."]}),(0,r.jsx)(n.p,{children:"This command does the following:"}),(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Installs frontend and backend dependencies"}),"\n",(0,r.jsx)(n.li,{children:"Builds the frontend static files"}),"\n",(0,r.jsx)(n.li,{children:"Starts the application with default settings"}),"\n"]}),(0,r.jsxs)(n.p,{children:["The Langflow frontend is served at ",(0,r.jsx)(n.code,{children:"http://localhost:7860"}),"."]})]}),"\n",(0,r.jsxs)(o,{children:[(0,r.jsx)("summary",{children:"Run from source with Windows CMD"}),(0,r.jsx)(n.p,{children:"To run Langflow from source on Windows, you can use the Langflow project's included scripts, or run the commands in the terminal."}),(0,r.jsx)(n.p,{children:"Do one of the following:"}),(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To install and run Langflow with the included Windows Batch file, navigate to the ",(0,r.jsx)(n.code,{children:"scripts/windows"})," directory, and then run the ",(0,r.jsx)(n.code,{children:"build_and_run.bat"})," file."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"To run Langflow from the Windows Command Line:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Build the Langflow frontend:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"cd src/frontend && npm install && npm run build && npm run start",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Copy the contents of the built ",(0,r.jsx)(n.code,{children:"src/frontend/build"})," directory to ",(0,r.jsx)(n.code,{children:"src/backend/base/langflow/frontend"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Start Langflow:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv run langflow run",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),(0,r.jsxs)(n.p,{children:["The Langflow frontend is served at ",(0,r.jsx)(n.code,{children:"http://localhost:7860"}),"."]})]}),"\n",(0,r.jsxs)(o,{children:[(0,r.jsx)("summary",{children:"Run from source with Powershell"}),(0,r.jsx)(n.p,{children:"To run Langflow from source on Windows, you can use the Langflow project's included scripts, or run the commands in the terminal."}),(0,r.jsx)(n.p,{children:"Do one of the following:"}),(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To install and run Langflow with the included scripts, navigate to the ",(0,r.jsx)(n.code,{children:"scripts/windows"})," directory, and then run the ",(0,r.jsx)(n.code,{children:"build_and_run.ps1"})," file."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"To run Langflow from a Powershell terminal:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run the following commands separately to build the Langflow frontend:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"cd src/frontend",props:{}}]},{tokens:[{content:"npm install",props:{}}]},{tokens:[{content:"npm run build",props:{}}]},{tokens:[{content:"npm run start",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Copy the contents of the built ",(0,r.jsx)(n.code,{children:"src/frontend/build"})," directory to ",(0,r.jsx)(n.code,{children:"src/backend/base/langflow/frontend"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Start Langflow:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv run langflow run",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),(0,r.jsxs)(n.p,{children:["The Langflow frontend is served at ",(0,r.jsx)(n.code,{children:"http://localhost:7860"}),"."]})]}),"\n",(0,r.jsx)(n.h3,{id:"set-up-your-langflow-development-environment",children:"Set up your Langflow development environment"}),"\n",(0,r.jsxs)(l.A,{children:[(0,r.jsx)(a.A,{value:"linux-macos",label:"Linux or macOS",default:!0,children:(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Set up the Langflow development environment:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"make ",props:{style:{color:"#FFA657"}}},{content:"init",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsx)(n.p,{children:"This command sets up the development environment by doing the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Checking for uv and npm."}),"\n",(0,r.jsx)(n.li,{children:"Installing backend and frontend dependencies."}),"\n",(0,r.jsx)(n.li,{children:"Installing pre-commit hooks."}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Run the backend and frontend in separate terminals for development:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# Run backend in development mode (includes hot reload)",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"make ",props:{style:{color:"#FFA657"}}},{content:"backend",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"# In another terminal, run frontend in development mode (includes hot reload)",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"make ",props:{style:{color:"#FFA657"}}},{content:"frontend",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"make backend"})," and ",(0,r.jsx)(n.code,{children:"make frontend"})," commands automatically install dependencies, so you don't need to run install commands separately."]}),"\n",(0,r.jsxs)(n.p,{children:["The frontend is served at ",(0,r.jsx)(n.code,{children:"http://localhost:7860"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Optional: Install pre-commit hooks to help keep your changes clean and well-formatted."}),"\n",(0,r.jsxs)(n.p,{children:["With pre-commit hooks installed, you must use ",(0,r.jsx)(n.code,{children:"uv run git commit"})," instead of ",(0,r.jsx)(n.code,{children:"git commit"})," directly."]}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.code,{children:"make init"})," installs pre-commit hooks automatically, or you can run the following command to install them manually:"]}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"sync",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"run pre-commit install",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To test your changes before pushing commits, run ",(0,r.jsx)(n.code,{children:"make lint"}),", ",(0,r.jsx)(n.code,{children:"make format"}),", and ",(0,r.jsx)(n.code,{children:"make unit_tests"}),".\nTo run all tests, including coverage, unit, and integration, tests, run ",(0,r.jsx)(n.code,{children:"make tests"}),"."]}),"\n"]}),"\n"]})}),(0,r.jsxs)(a.A,{value:"Windows",label:"Windows",children:[(0,r.jsxs)(n.p,{children:["Since Windows does not include ",(0,r.jsx)(n.code,{children:"make"}),", building and running Langflow from source uses ",(0,r.jsx)(n.code,{children:"npm"})," and ",(0,r.jsx)(n.code,{children:"uv"}),"."]}),(0,r.jsx)(n.p,{children:"To set up the Langflow development environment, run the frontend and backend in separate terminals:"}),(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"To run the frontend, run the following commands:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"cd ",props:{style:{color:"#79C0FF"}}},{content:"src/frontend",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"npm ",props:{style:{color:"#FFA657"}}},{content:"install",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"npm ",props:{style:{color:"#FFA657"}}},{content:"run start",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"In a separate terminal, run the following command to run the backend:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"run langflow run ",props:{style:{color:"#A5D6FF"}}},{content:"--backend-only",props:{style:{color:"#79C0FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n"]}),(0,r.jsxs)(n.p,{children:["The frontend is served at ",(0,r.jsx)(n.code,{children:"http://localhost:7860"}),"."]})]})]}),"\n",(0,r.jsx)(n.h3,{id:"debug",children:"Debug"}),"\n",(0,r.jsxs)(n.p,{children:["The repo includes a ",(0,r.jsx)(n.code,{children:".vscode/launch.json"})," file for debugging the backend in VSCode, which is faster than debugging with Docker Compose. To debug Langflow with the ",(0,r.jsx)(n.code,{children:"launch.json"})," file in VSCode:"]}),"\n",(0,r.jsxs)(n.p,{children:["For more information, see the ",(0,r.jsx)(n.a,{href:"https://code.visualstudio.com/docs/debugtest/debugging#_start-a-debugging-session",children:"VSCode documentation"}),"."]}),"\n",(0,r.jsx)(n.h3,{id:"additional-contribution-guides",children:"Additional contribution guides"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/contributing-bundles",children:"Contribute bundles"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/contributing-components",children:"Contribute components"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/contributing-component-tests",children:"Contribute tests"})}),"\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/contributing-templates",children:"Contribute templates"})}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"contribute-documentation",children:"Contribute documentation"}),"\n",(0,r.jsxs)(n.p,{children:["The documentation is built using ",(0,r.jsx)(n.a,{href:"https://docusaurus.io/",children:"Docusaurus"})," and written in ",(0,r.jsx)(n.a,{href:"https://docusaurus.io/docs/markdown-features",children:"Markdown"}),".\nFor style guidance, see the ",(0,r.jsx)(n.a,{href:"https://developers.google.com/style",children:"Google Developer Documentation Style Guide"}),"."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Install ",(0,r.jsx)(n.a,{href:"https://nodejs.org/en/download/package-manager",children:"Node.js"})," and ",(0,r.jsx)(n.a,{href:"https://yarnpkg.com/",children:"Yarn"})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Fork the ",(0,r.jsx)(n.a,{href:"https://github.com/langflow-ai/langflow",children:"Langflow GitHub repository"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add the new remote to your local repository on your local machine:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"git ",props:{style:{color:"#FFA657"}}},{content:"remote add FORK_NAME https://github.com/GIT_USERNAME/langflow.git",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsx)(n.p,{children:"Replace the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"FORK_NAME"}),": A name for your fork of the repository"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"GIT_USERNAME"}),": Your Git username"]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["From the root of your local Langflow fork, change to the ",(0,r.jsx)(n.code,{children:"/docs"})," directory:"]}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"cd ",props:{style:{color:"#79C0FF"}}},{content:"docs",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Install dependencies and start a local Docusaurus static site with hot reload:"}),"\n",(0,r.jsx)(u.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"yarn ",props:{style:{color:"#FFA657"}}},{content:"install",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"yarn ",props:{style:{color:"#FFA657"}}},{content:"start",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(n.p,{children:["The documentation is served at ",(0,r.jsx)(n.code,{children:"localhost:3000"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To edit and create content, work with the ",(0,r.jsx)(n.code,{children:".mdx"})," files in the ",(0,r.jsx)(n.code,{children:"langflow/docs/docs"})," directory."]}),"\n",(0,r.jsxs)(n.p,{children:["Create new files in ",(0,r.jsx)(n.code,{children:".mdx"})," format."]}),"\n",(0,r.jsxs)(n.p,{children:["Navigation is defined in ",(0,r.jsx)(n.code,{children:"langflow/docs/sidebars.js"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["Most pages use a ",(0,r.jsx)(n.code,{children:"slug"})," for shorthand cross-referencing, rather than supplying the full or relative directory path.\nFor example, if a page has a ",(0,r.jsx)(n.code,{children:"slug"})," of ",(0,r.jsx)(n.code,{children:"/cool-page"}),", you can link to it with ",(0,r.jsx)(n.code,{children:"[Cool page](/cool-page)"})," from any other ",(0,r.jsx)(n.code,{children:"/docs"})," page."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Recommended: After making some changes, run ",(0,r.jsx)(n.code,{children:"yarn build"})," to build the site locally with more robust logging.\nThis can help you find broken links before creating a PR."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"open-a-pull-request",children:"Open a pull request"}),"\n",(0,r.jsx)(n.p,{children:"To submit a pull request, do the following:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Open a new GitHub pull request with your patch against the ",(0,r.jsx)(n.code,{children:"main"})," branch."]}),"\n",(0,r.jsxs)(n.li,{children:["Ensure the PR title follows semantic commit conventions. For example, features are ",(0,r.jsx)(n.code,{children:"feat: add new feature"})," and fixes are ",(0,r.jsx)(n.code,{children:"fix: correct issue with X"}),"."]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"Some additional guidance on pull request titles:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Ensure the pull request description clearly describes the problem and solution. 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new file mode 100644
index 0000000000..105c6e43a8
--- /dev/null
+++ b/assets/js/acefda8b.b7d69f09.js
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pre-commit install",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To test your changes before pushing commits, run ",(0,r.jsx)(n.code,{children:"make lint"}),", ",(0,r.jsx)(n.code,{children:"make format"}),", and ",(0,r.jsx)(n.code,{children:"make unit_tests"}),".\nTo run all tests, including coverage, unit, and integration, tests, run ",(0,r.jsx)(n.code,{children:"make tests"}),"."]}),"\n"]}),"\n"]})}),(0,r.jsxs)(c.A,{value:"Windows",label:"Windows",children:[(0,r.jsxs)(n.p,{children:["Since Windows does not include ",(0,r.jsx)(n.code,{children:"make"}),", building and running Langflow from source uses ",(0,r.jsx)(n.code,{children:"npm"})," and ",(0,r.jsx)(n.code,{children:"uv"}),"."]}),(0,r.jsx)(n.p,{children:"To set up the Langflow development environment, run the frontend and backend in separate 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documentation"}),"\n",(0,r.jsxs)(n.p,{children:["The documentation is built using ",(0,r.jsx)(n.a,{href:"https://docusaurus.io/",children:"Docusaurus"})," and written in ",(0,r.jsx)(n.a,{href:"https://docusaurus.io/docs/markdown-features",children:"Markdown"}),".\nFor style guidance, see the ",(0,r.jsx)(n.a,{href:"https://developers.google.com/style",children:"Google Developer Documentation Style Guide"}),"."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Install ",(0,r.jsx)(n.a,{href:"https://nodejs.org/en/download/package-manager",children:"Node.js"})," and ",(0,r.jsx)(n.a,{href:"https://yarnpkg.com/",children:"Yarn"})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Fork the ",(0,r.jsx)(n.a,{href:"https://github.com/langflow-ai/langflow",children:"Langflow GitHub repository"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Add the new remote to your local repository on your local machine:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"git ",props:{style:{color:"#FFA657"}}},{content:"remote add FORK_NAME https://github.com/GIT_USERNAME/langflow.git",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsx)(n.p,{children:"Replace the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"FORK_NAME"}),": A name for your fork of the repository"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"GIT_USERNAME"}),": Your Git username"]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["From the root of your local Langflow fork, change to the ",(0,r.jsx)(n.code,{children:"/docs"})," directory:"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"cd ",props:{style:{color:"#79C0FF"}}},{content:"docs",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Install dependencies and start a local Docusaurus static site with hot reload:"}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"yarn ",props:{style:{color:"#FFA657"}}},{content:"install",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"yarn ",props:{style:{color:"#FFA657"}}},{content:"start",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(n.p,{children:["The documentation is served at ",(0,r.jsx)(n.code,{children:"localhost:3000"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To edit and create content, work with the ",(0,r.jsx)(n.code,{children:".mdx"})," files in the ",(0,r.jsx)(n.code,{children:"langflow/docs/docs"})," directory."]}),"\n",(0,r.jsxs)(n.p,{children:["Create new files in ",(0,r.jsx)(n.code,{children:".mdx"})," format."]}),"\n",(0,r.jsxs)(n.p,{children:["Navigation is defined in ",(0,r.jsx)(n.code,{children:"langflow/docs/sidebars.js"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["Most pages use a ",(0,r.jsx)(n.code,{children:"slug"})," for shorthand cross-referencing, rather than supplying the full or relative directory path.\nFor example, if a page has a ",(0,r.jsx)(n.code,{children:"slug"})," of ",(0,r.jsx)(n.code,{children:"/cool-page"}),", you can link to it with ",(0,r.jsx)(n.code,{children:"[Cool page](/cool-page)"})," from any other ",(0,r.jsx)(n.code,{children:"/docs"})," page."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Recommended: After making some changes, run ",(0,r.jsx)(n.code,{children:"yarn build"})," to build the site locally with more robust logging.\nThis can help you find broken links before creating a PR."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"open-a-pull-request",children:"Open a pull request"}),"\n",(0,r.jsx)(n.p,{children:"To submit a pull request, do the following:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Open a new GitHub pull request with your patch against the ",(0,r.jsx)(n.code,{children:"main"})," branch."]}),"\n",(0,r.jsxs)(n.li,{children:["Ensure the PR title follows semantic commit conventions. For example, features are ",(0,r.jsx)(n.code,{children:"feat: add new feature"})," and fixes are ",(0,r.jsx)(n.code,{children:"fix: correct issue with X"}),"."]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"Some additional guidance on pull request titles:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Ensure the pull request description clearly describes the problem and solution. If the PR fixes an issue, include a link to the fixed issue in the PR description with ",(0,r.jsx)(n.code,{children:"Fixes #1234"}),"."]}),"\n",(0,r.jsx)(n.li,{children:"Pull request titles appear in Langflow's release notes, so they should explain what the PR does as explicitly as possible."}),"\n",(0,r.jsxs)(n.li,{children:["Pull requests should strive to fix one thing ",(0,r.jsx)(n.strong,{children:"only"}),", and should contain a good description of what is being fixed."]}),"\n"]}),"\n",(0,r.jsxs)(n.ol,{start:"3",children:["\n",(0,r.jsx)(n.li,{children:"A Langflow maintainer will review your pull request and may request changes, so ensure you pay attention to your PRs. Thanks for your contribution!"}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["For more information, see the ",(0,r.jsx)(n.a,{href:"https://devguide.python.org/getting-started/pull-request-lifecycle/index.html#making-good-commits",children:"Python Developer's Guide"}),"."]})]})}function m(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(g,{...e})}):g(e)}function x(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}}}]);
\ No newline at end of file
diff --git a/assets/js/af6600d9.85cc7840.js b/assets/js/af6600d9.85cc7840.js
deleted file mode 100644
index 49bb5d0344..0000000000
--- a/assets/js/af6600d9.85cc7840.js
+++ /dev/null
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flow.","source":"@site/docs/Templates/sequential-agent.mdx","sourceDirName":"Templates","slug":"/sequential-agent","permalink":"/sequential-agent","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Sequential tasks agent","slug":"/sequential-agent"},"sidebar":"docs","previous":{"title":"Financial report parser","permalink":"/financial-report-parser"},"next":{"title":"Travel planning agent","permalink":"/travel-planning-agent"}}');var s=n(74848),r=n(28453),i=n(24754);const a={title:"Sequential tasks agent",slug:"/sequential-agent"},l=void 0,c={},d={annotations:i.hk,Code:i.Cy},h={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},u=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Open Langflow and create a new flow",id:"open-langflow-and-create-a-new-flow",level:2},{value:"Run the Sequential Tasks Agent flow",id:"run-the-sequential-tasks-agent-flow",level:2},{value:"Next 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diff --git a/assets/js/af6600d9.a6ea9005.js b/assets/js/af6600d9.a6ea9005.js
new file mode 100644
index 0000000000..b33d2b7f5c
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Later in this tutorial, the agent will be prompted to find ",(0,s.jsx)(e.code,{children:"email"})," values in the customer data."]}),"\n",(0,s.jsxs)(e.p,{children:["You can adapt the tutorial to suit your data, or, to follow along with the tutorial, you can download ",(0,s.jsx)(e.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(36557).A+"",children:(0,s.jsx)(e.code,{children:"customer-orders.csv"})})," and save it in a ",(0,s.jsx)(e.code,{children:"customer_orders"})," folder on your local machine."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.a,{href:"/concepts-components#component-menus",children:"component header menu"})," for the ",(0,s.jsx)(e.strong,{children:"Directory"})," and ",(0,s.jsx)(e.strong,{children:"Web search"})," components, enable ",(0,s.jsx)(e.strong,{children:"Tool Mode"})," so you can use the components with an agent."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["For both tool components, connect the ",(0,s.jsx)(e.strong,{children:"Toolset"})," port to the Agent component's ",(0,s.jsx)(e.strong,{children:"Tools"})," port."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Agent"})," component, enter your OpenAI API key."]}),"\n",(0,s.jsxs)(e.p,{children:["If you want to use a different provider or model, edit the ",(0,s.jsx)(e.strong,{children:"Model Provider"}),", ",(0,s.jsx)(e.strong,{children:"Model Name"}),", and ",(0,s.jsx)(e.strong,{children:"API Key"})," fields accordingly."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To test the flow, click ",(0,s.jsx)(l.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(e.strong,{children:"Playground"}),", and then ask the LLM a question, such as ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for carol.davis@example.com, based on previous orders."})]}),"\n",(0,s.jsxs)(e.p,{children:["Given the example prompt, the LLM would respond with recommendations and web links for items based on previous orders in ",(0,s.jsx)(e.code,{children:"customer_orders.csv"}),"."]}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.strong,{children:"Playground"})," prints the agent's chain of thought as it selects tools to use and interacts with functionality provided by those tools.\nFor example, the agent can use the ",(0,s.jsx)(e.strong,{children:"Directory"})," component's ",(0,s.jsx)(e.code,{children:"as_dataframe"})," tool to retrieve a ",(0,s.jsx)(e.a,{href:"/data-types#dataframe",children:"DataFrame"}),", and the ",(0,s.jsx)(e.strong,{children:"Web search"})," component's ",(0,s.jsx)(e.code,{children:"perform_search"})," tool to find links to related items."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"add-a-prompt-template-component-to-the-flow",children:"Add a Prompt Template component to the flow"}),"\n",(0,s.jsx)(e.p,{children:"In this example, the application sends a customer's email address to the Langflow agent. The agent compares the customer's previous orders within the Directory component, searches the web for used versions of those items, and returns three results."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To include the email address as a value in your flow, add a ",(0,s.jsx)(e.a,{href:"/components-prompts",children:(0,s.jsx)(e.strong,{children:"Prompt Template"})})," component to your flow between the ",(0,s.jsx)(e.strong,{children:"Chat Input"})," and ",(0,s.jsx)(e.strong,{children:"Agent"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," component's ",(0,s.jsx)(e.strong,{children:"Template"})," field, enter ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for {email}, based on previous orders."}),"\nAdding the ",(0,s.jsx)(e.code,{children:"{email}"})," value in curly braces creates a new input in the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," component, and the component connected to the ",(0,s.jsx)(e.code,{children:"{email}"})," port is supplying the value for that variable.\nThis creates a point for the user's email to enter the flow from your request.\nIf you aren't using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, modify the input to search for a value in your dataset."]}),"\n",(0,s.jsxs)(e.p,{children:["At this point your flow has six components. The ",(0,s.jsx)(e.strong,{children:"Chat Input"})," is connected to the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," component's ",(0,s.jsx)(e.strong,{children:"email"})," port. Then, the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," output is connected to the ",(0,s.jsx)(e.strong,{children:"Agent"})," component's ",(0,s.jsx)(e.strong,{children:"System Message"})," port. The ",(0,s.jsx)(e.strong,{children:"Directory"})," and ",(0,s.jsx)(e.strong,{children:"Web Search"})," components are connected to the ",(0,s.jsx)(e.strong,{children:"Agent"})," component's ",(0,s.jsx)(e.strong,{children:"Tools"})," port. Finally, the ",(0,s.jsx)(e.strong,{children:"Agent"})," component's output is connected to the ",(0,s.jsx)(e.strong,{children:"Chat Output"})," component, which returns the final response to the application."]}),"\n",(0,s.jsx)(e.p,{children:(0,s.jsx)(e.img,{alt:"An agent component connected to web search and directory components",src:t(33588).A+"",width:"4000",height:"2830"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"send-requests-to-your-flow-from-a-javascript-application",children:"Send requests to your flow from a JavaScript application"}),"\n",(0,s.jsx)(e.p,{children:"With your flow operational, connect it to a JavaScript application to use the agent's responses."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsx)(e.p,{children:"To construct a JavaScript application to connect to your flow, gather the following information:"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(e.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(e.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Copy the following script into a JavaScript file, and then replace the placeholders with the information you gathered in the previous step.\nIf you're using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, you can run this example as-is with the example email address in the code sample.\nIf not, modify the ",(0,s.jsx)(e.code,{children:'const email = "isabella.rodriguez@example.com"'})," to search for a value in your dataset."]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" { LangflowClient } ",props:{style:{color:"#C9D1D9"}}},{content:"from 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",props:{style:{color:"#FF7B72"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"const ",props:{style:{color:"#FF7B72"}}},{content:"email ",props:{style:{color:"#79C0FF"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"isabella.rodriguez@example.com"',props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"async function ",props:{style:{color:"#FF7B72"}}},{content:"runAgentFlow",props:{style:{color:"#D2A8FF"}}},{content:"()",props:{style:{color:"#C9D1D9"}}},{content:": ",props:{style:{color:"#FF7B72"}}},{content:"Promise",props:{style:{color:"#FFA657"}}},{content:"<",props:{style:{color:"#C9D1D9"}}},{content:"void",props:{style:{color:"#79C0FF"}}},{content:"> {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    try",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Initialize the Langflow client",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"client ",props:{style:{color:"#79C0FF"}}},{content:"= new ",props:{style:{color:"#FF7B72"}}},{content:"LangflowClient",props:{style:{color:"#D2A8FF"}}},{content:"({",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            baseUrl: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            apiKey: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_API_KEY",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"        });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Connecting to Langflow server at: ${",props:{style:{color:"#A5D6FF"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:"} `",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Flow ID: ${",props:{style:{color:"#A5D6FF"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Email: ${",props:{style:{color:"#A5D6FF"}}},{content:"email",props:{style:{color:"#C9D1D9"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Get the flow instance",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"flow ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" client.",props:{style:{color:"#C9D1D9"}}},{content:"flow",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Run the flow with the email as input",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"Sending request to agent...'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"response ",props:{style:{color:"#79C0FF"}}},{content:"= await",props:{style:{color:"#FF7B72"}}},{content:" flow.",props:{style:{color:"#C9D1D9"}}},{content:"run",props:{style:{color:"#D2A8FF"}}},{content:"(email, {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            session_id: email ",props:{style:{color:"#C9D1D9"}}},{content:"// Use email as session ID for context",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== Response from Langflow ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'Session ID:'",props:{style:{color:"#A5D6FF"}}},{content:", response.sessionId);",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Extract URLs from the chat message",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"chatMessage ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" response.",props:{style:{color:"#C9D1D9"}}},{content:"chatOutputText",props:{style:{color:"#D2A8FF"}}},{content:"();",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== URLs from Chat Message ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"messageUrls ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" chatMessage.",props:{style:{color:"#C9D1D9"}}},{content:"match",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"/https",props:{style:{color:"#A5D6FF"}}},{content:"?",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#A5D6FF"}}},{content:"\\/\\/",props:{style:{color:"#7EE787",fontWeight:"bold"}}},{content:"[",props:{style:{color:"#79C0FF"}}},{content:"^",props:{style:{color:"#FF7B72"}}},{content:"\\s\"')",props:{style:{color:"#79C0FF"}}},{content:"\\]",props:{style:{color:"#7EE787",fontWeight:"bold"}}},{content:"]",props:{style:{color:"#79C0FF"}}},{content:"+",props:{style:{color:"#FF7B72"}}},{content:"/",props:{style:{color:"#A5D6FF"}}},{content:"g",props:{style:{color:"#FF7B72"}}},{content:") ",props:{style:{color:"#C9D1D9"}}},{content:"||",props:{style:{color:"#FF7B72"}}},{content:" [];",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"cleanMessageUrls ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}},{content:"...new ",props:{style:{color:"#FF7B72"}}},{content:"Set",props:{style:{color:"#D2A8FF"}}},{content:"(messageUrls)].",props:{style:{color:"#C9D1D9"}}},{content:"map",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"url ",props:{style:{color:"#FFA657"}}},{content:"=>",props:{style:{color:"#FF7B72"}}},{content:" url.",props:{style:{color:"#C9D1D9"}}},{content:"trim",props:{style:{color:"#D2A8FF"}}},{content:"());",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'URLs from message:'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        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Later in this tutorial, the agent will be prompted to find ",(0,s.jsx)(e.code,{children:"email"})," values in the customer data."]}),"\n",(0,s.jsxs)(e.p,{children:["You can adapt the tutorial to suit your data, or, to follow along with the tutorial, you can download ",(0,s.jsx)(e.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:t(36557).A+"",children:(0,s.jsx)(e.code,{children:"customer-orders.csv"})})," and save it in a ",(0,s.jsx)(e.code,{children:"customer_orders"})," folder on your local machine."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.a,{href:"/concepts-components#component-menus",children:"component header menu"})," for the ",(0,s.jsx)(e.strong,{children:"Directory"})," and ",(0,s.jsx)(e.strong,{children:"Web search"})," components, enable ",(0,s.jsx)(e.strong,{children:"Tool Mode"})," so you can use the components with an agent."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["For both tool components, connect the ",(0,s.jsx)(e.strong,{children:"Toolset"})," port to the Agent component's ",(0,s.jsx)(e.strong,{children:"Tools"})," port."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Agent"})," component, enter your OpenAI API key."]}),"\n",(0,s.jsxs)(e.p,{children:["If you want to use a different provider or model, edit the ",(0,s.jsx)(e.strong,{children:"Model Provider"}),", ",(0,s.jsx)(e.strong,{children:"Model Name"}),", and ",(0,s.jsx)(e.strong,{children:"API Key"})," fields accordingly."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To test the flow, click ",(0,s.jsx)(l.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(e.strong,{children:"Playground"}),", and then ask the LLM a question, such as ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for carol.davis@example.com, based on previous orders."})]}),"\n",(0,s.jsxs)(e.p,{children:["Given the example prompt, the LLM would respond with recommendations and web links for items based on previous orders in ",(0,s.jsx)(e.code,{children:"customer_orders.csv"}),"."]}),"\n",(0,s.jsxs)(e.p,{children:["The ",(0,s.jsx)(e.strong,{children:"Playground"})," prints the agent's chain of thought as it selects tools to use and interacts with functionality provided by those tools.\nFor example, the agent can use the ",(0,s.jsx)(e.strong,{children:"Directory"})," component's ",(0,s.jsx)(e.code,{children:"as_dataframe"})," tool to retrieve a ",(0,s.jsx)(e.a,{href:"/data-types#dataframe",children:"DataFrame"}),", and the ",(0,s.jsx)(e.strong,{children:"Web search"})," component's ",(0,s.jsx)(e.code,{children:"perform_search"})," tool to find links to related items."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"add-a-prompt-template-component-to-the-flow",children:"Add a Prompt Template component to the flow"}),"\n",(0,s.jsx)(e.p,{children:"In this example, the application sends a customer's email address to the Langflow agent. The agent compares the customer's previous orders within the Directory component, searches the web for used versions of those items, and returns three results."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To include the email address as a value in your flow, add a ",(0,s.jsx)(e.a,{href:"/components-prompts",children:(0,s.jsx)(e.strong,{children:"Prompt Template"})})," component to your flow between the ",(0,s.jsx)(e.strong,{children:"Chat Input"})," and ",(0,s.jsx)(e.strong,{children:"Agent"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["In the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," component's ",(0,s.jsx)(e.strong,{children:"Template"})," field, enter ",(0,s.jsx)(e.code,{children:"Recommend 3 used items for {email}, based on previous orders."}),"\nAdding the ",(0,s.jsx)(e.code,{children:"{email}"})," value in curly braces creates a new input in the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," component, and the component connected to the ",(0,s.jsx)(e.code,{children:"{email}"})," port is supplying the value for that variable.\nThis creates a point for the user's email to enter the flow from your request.\nIf you aren't using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, modify the input to search for a value in your dataset."]}),"\n",(0,s.jsxs)(e.p,{children:["At this point your flow has six components. The ",(0,s.jsx)(e.strong,{children:"Chat Input"})," is connected to the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," component's ",(0,s.jsx)(e.strong,{children:"email"})," port. Then, the ",(0,s.jsx)(e.strong,{children:"Prompt Template"})," output is connected to the ",(0,s.jsx)(e.strong,{children:"Agent"})," component's ",(0,s.jsx)(e.strong,{children:"System Message"})," port. The ",(0,s.jsx)(e.strong,{children:"Directory"})," and ",(0,s.jsx)(e.strong,{children:"Web Search"})," components are connected to the ",(0,s.jsx)(e.strong,{children:"Agent"})," component's ",(0,s.jsx)(e.strong,{children:"Tools"})," port. Finally, the ",(0,s.jsx)(e.strong,{children:"Agent"})," component's output is connected to the ",(0,s.jsx)(e.strong,{children:"Chat Output"})," component, which returns the final response to the application."]}),"\n",(0,s.jsx)(e.p,{children:(0,s.jsx)(e.img,{alt:"An agent component connected to web search and directory components",src:t(33588).A+"",width:"4000",height:"2830"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"send-requests-to-your-flow-from-a-javascript-application",children:"Send requests to your flow from a JavaScript application"}),"\n",(0,s.jsx)(e.p,{children:"With your flow operational, connect it to a JavaScript application to use the agent's responses."}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsx)(e.p,{children:"To construct a JavaScript application to connect to your flow, gather the following information:"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(e.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(e.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(e.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(e.li,{children:[(0,s.jsx)(e.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(e.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Copy the following script into a JavaScript file, and then replace the placeholders with the information you gathered in the previous step.\nIf you're using the ",(0,s.jsx)(e.code,{children:"customer_orders.csv"})," example file, you can run this example as-is with the example email address in the code sample.\nIf not, modify the ",(0,s.jsx)(e.code,{children:'const email = "isabella.rodriguez@example.com"'})," to search for a value in your dataset."]}),"\n",(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" { LangflowClient } ",props:{style:{color:"#C9D1D9"}}},{content:"from 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",props:{style:{color:"#FF7B72"}}},{content:"'LANGFLOW_API_KEY'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"const ",props:{style:{color:"#FF7B72"}}},{content:"email ",props:{style:{color:"#79C0FF"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"isabella.rodriguez@example.com"',props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"async function ",props:{style:{color:"#FF7B72"}}},{content:"runAgentFlow",props:{style:{color:"#D2A8FF"}}},{content:"()",props:{style:{color:"#C9D1D9"}}},{content:": ",props:{style:{color:"#FF7B72"}}},{content:"Promise",props:{style:{color:"#FFA657"}}},{content:"<",props:{style:{color:"#C9D1D9"}}},{content:"void",props:{style:{color:"#79C0FF"}}},{content:"> {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    try",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Initialize the Langflow client",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"client ",props:{style:{color:"#79C0FF"}}},{content:"= new ",props:{style:{color:"#FF7B72"}}},{content:"LangflowClient",props:{style:{color:"#D2A8FF"}}},{content:"({",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            baseUrl: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            apiKey: ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_API_KEY",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"        });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Connecting to Langflow server at: ${",props:{style:{color:"#A5D6FF"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:"} `",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Flow ID: ${",props:{style:{color:"#A5D6FF"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"`Email: ${",props:{style:{color:"#A5D6FF"}}},{content:"email",props:{style:{color:"#C9D1D9"}}},{content:"}`",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Get the flow instance",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"flow ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" client.",props:{style:{color:"#C9D1D9"}}},{content:"flow",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"FLOW_ID",props:{style:{color:"#79C0FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Run the flow with the email as input",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"Sending request to agent...'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"response ",props:{style:{color:"#79C0FF"}}},{content:"= await",props:{style:{color:"#FF7B72"}}},{content:" flow.",props:{style:{color:"#C9D1D9"}}},{content:"run",props:{style:{color:"#D2A8FF"}}},{content:"(email, {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            session_id: email ",props:{style:{color:"#C9D1D9"}}},{content:"// Use email as session ID for context",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        });",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== Response from Langflow ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'Session ID:'",props:{style:{color:"#A5D6FF"}}},{content:", response.sessionId);",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Extract URLs from the chat message",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"chatMessage ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" response.",props:{style:{color:"#C9D1D9"}}},{content:"chatOutputText",props:{style:{color:"#D2A8FF"}}},{content:"();",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"=== URLs from Chat Message ==='",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"messageUrls ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" chatMessage.",props:{style:{color:"#C9D1D9"}}},{content:"match",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"/https",props:{style:{color:"#A5D6FF"}}},{content:"?",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#A5D6FF"}}},{content:"\\/\\/",props:{style:{color:"#7EE787",fontWeight:"bold"}}},{content:"[",props:{style:{color:"#79C0FF"}}},{content:"^",props:{style:{color:"#FF7B72"}}},{content:"\\s\"')",props:{style:{color:"#79C0FF"}}},{content:"\\]",props:{style:{color:"#7EE787",fontWeight:"bold"}}},{content:"]",props:{style:{color:"#79C0FF"}}},{content:"+",props:{style:{color:"#FF7B72"}}},{content:"/",props:{style:{color:"#A5D6FF"}}},{content:"g",props:{style:{color:"#FF7B72"}}},{content:") ",props:{style:{color:"#C9D1D9"}}},{content:"||",props:{style:{color:"#FF7B72"}}},{content:" [];",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        const ",props:{style:{color:"#FF7B72"}}},{content:"cleanMessageUrls ",props:{style:{color:"#79C0FF"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" [",props:{style:{color:"#C9D1D9"}}},{content:"...new ",props:{style:{color:"#FF7B72"}}},{content:"Set",props:{style:{color:"#D2A8FF"}}},{content:"(messageUrls)].",props:{style:{color:"#C9D1D9"}}},{content:"map",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"url ",props:{style:{color:"#FFA657"}}},{content:"=>",props:{style:{color:"#FF7B72"}}},{content:" url.",props:{style:{color:"#C9D1D9"}}},{content:"trim",props:{style:{color:"#D2A8FF"}}},{content:"());",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'URLs from message:'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        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console.",props:{style:{color:"#C9D1D9"}}},{content:"error",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'Error running flow:'",props:{style:{color:"#A5D6FF"}}},{content:", error);",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        // Provide error messages",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"        if",props:{style:{color:"#FF7B72"}}},{content:" (error ",props:{style:{color:"#C9D1D9"}}},{content:"instanceof ",props:{style:{color:"#FF7B72"}}},{content:"Error",props:{style:{color:"#FFA657"}}},{content:") {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            if",props:{style:{color:"#FF7B72"}}},{content:" (error.message.",props:{style:{color:"#C9D1D9"}}},{content:"includes",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'fetch'",props:{style:{color:"#A5D6FF"}}},{content:")) {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"                console.",props:{style:{color:"#C9D1D9"}}},{content:"error",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"Make sure your Langflow server is running and accessible at:'",props:{style:{color:"#A5D6FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"LANGFLOW_SERVER_ADDRESS",props:{style:{color:"#79C0FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            if",props:{style:{color:"#FF7B72"}}},{content:" (error.message.",props:{style:{color:"#C9D1D9"}}},{content:"includes",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'401'",props:{style:{color:"#A5D6FF"}}},{content:") 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(error.message.",props:{style:{color:"#C9D1D9"}}},{content:"includes",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'404'",props:{style:{color:"#A5D6FF"}}},{content:")) {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"                console.",props:{style:{color:"#C9D1D9"}}},{content:"error",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"Check your Flow ID - make sure it exists and is correct'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"            }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"        }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"// Run the function",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"console.",props:{style:{color:"#C9D1D9"}}},{content:"log",props:{style:{color:"#D2A8FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"'Starting Langflow Agent...",props:{style:{color:"#A5D6FF"}}},{content:"\\n",props:{style:{color:"#79C0FF"}}},{content:"'",props:{style:{color:"#A5D6FF"}}},{content:");",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"runAgentFlow",props:{style:{color:"#D2A8FF"}}},{content:"().",props:{style:{color:"#C9D1D9"}}},{content:"catch",props:{style:{color:"#D2A8FF"}}},{content:"(console.error);",props:{style:{color:"#C9D1D9"}}}]}],lang:"js"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsx)(e.p,{children:"Save and run the script to send the request and test the flow."}),"\n",(0,s.jsx)(e.p,{children:"Your application receives three URLs for recommended used items based on a customer's previous orders in your local CSV, all without changing any code."}),"\n",(0,s.jsxs)(n,{children:[(0,s.jsx)("summary",{children:"Result"}),(0,s.jsx)(e.p,{children:"The following is an example response from this tutorial's flow. Due to the nature of LLMs and variations in your inputs, your response might be different."}),(0,s.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Starting Langflow Agent...",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Connecting to Langflow server at: http://localhost:7860",props:{}}]},{tokens:[{content:"Flow ID: local-db-search",props:{}}]},{tokens:[{content:"Email: isabella.rodriguez@example.com",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Sending request to agent...",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"=== Response from Langflow ===",props:{}}]},{tokens:[{content:"Session ID: isabella.rodriguez@example.com",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"URLs found:",props:{}}]},{tokens:[{content:"https://www.facebook.com/marketplace/258164108225783/electronics/",props:{}}]},{tokens:[{content:"https://www.facebook.com/marketplace/458332108944152/furniture/",props:{}}]},{tokens:[{content:"https://www.facebook.com/marketplace/613732137493719/kitchen-cabinets/",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To quickly check traffic to your flow, open the ",(0,s.jsx)(e.strong,{children:"Playground"}),".\nNew sessions are named after the user's email address.\nKeeping sessions distinct helps the agent maintain context. 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\ No newline at end of file
diff --git a/assets/js/b37620f5.0af3186e.js b/assets/js/b37620f5.0af3186e.js
new file mode 100644
index 0000000000..ae69727c5e
--- /dev/null
+++ b/assets/js/b37620f5.0af3186e.js
@@ -0,0 +1 @@
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s=n(74848),r=n(28453),l=n(24754);const c={title:"Configure an external PostgreSQL database",slug:"/configuration-custom-database"},a=void 0,i={},p={annotations:l.hk,Code:l.Cy},d={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},h=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Connect Langflow to a local PostgreSQL database",id:"connect-langflow-to-a-local-postgresql-database",level:2},{value:"Deploy Langflow and PostgreSQL containers with docker-compose.yml",id:"deploy-langflow-and-postgresql-containers-with-docker-composeyml",level:2},{value:"Deploy multiple Langflow instances with a shared PostgreSQL database",id:"deploy-multiple-langflow-instances-with-a-shared-postgresql-database",level:2},{value:"See also",id:"see-also",level:2}];function g(o){const e={a:"a",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",ul:"ul",...(0,r.R)(),...o.components};return 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",props:{style:{color:"#C9D1D9"}}},{content:"PORT=7860",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    volumes",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"      - ",props:{style:{color:"#C9D1D9"}}},{content:"langflow-data-2:/app/langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"volumes",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  langflow-postgres",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  langflow-data-1",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  langflow-data-2",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]}],lang:"yaml"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Deploy the file with ",(0,s.jsx)(e.code,{children:"docker-compose up"}),".\nYou can access the first Langflow instance at ",(0,s.jsx)(e.code,{children:"http://localhost:7860"}),", and the second Langflow instance at ",(0,s.jsx)(e.code,{children:"http://localhost:7861"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To confirm both instances are using the same database, run the ",(0,s.jsx)(e.code,{children:"docker exec"})," command to start ",(0,s.jsx)(e.code,{children:"psql"})," in your PostgreSQL container.\nYour container name may vary."]}),"\n",(0,s.jsx)(p.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"docker ",props:{style:{color:"#FFA657"}}},{content:"exec ",props:{style:{color:"#A5D6FF"}}},{content:"-it ",props:{style:{color:"#79C0FF"}}},{content:"docker-test-postgres-1 psql ",props:{style:{color:"#A5D6FF"}}},{content:"-U ",props:{style:{color:"#79C0FF"}}},{content:"langflow ",props:{style:{color:"#A5D6FF"}}},{content:"-d ",props:{style:{color:"#79C0FF"}}},{content:"langflow",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsx)(e.p,{children:"Query the database for active connections:"}),"\n",(0,s.jsx)(p.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"langflow",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"# ",props:{style:{color:"#C9D1D9"}}},{content:"SELECT * FROM",props:{style:{color:"#FF7B72"}}},{content:" pg_stat_activity ",props:{style:{color:"#C9D1D9"}}},{content:"WHERE",props:{style:{color:"#FF7B72"}}},{content:" datname ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"'langflow'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]}],lang:"sql"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Examine the query results for multiple connections with different ",(0,s.jsx)(e.code,{children:"client_addr"})," values, for example ",(0,s.jsx)(e.code,{children:"172.21.0.3"})," and ",(0,s.jsx)(e.code,{children:"172.21.0.4"}),".\nSince each Langflow instance runs in its own container on the Docker network, using different incoming IP addresses confirms that both instances are actively connected to the PostgreSQL database."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To quit psql, type ",(0,s.jsx)(e.code,{children:"quit"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"see-also",children:"See also"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsx)(e.li,{children:(0,s.jsx)(e.a,{href:"/memory",children:"Memory management options"})}),"\n",(0,s.jsx)(e.li,{children:(0,s.jsx)(e.a,{href:"/logging",children:"Logs"})}),"\n"]})]})}function u(o={}){const{wrapper:e}={...(0,r.R)(),...o.components};return e?(0,s.jsx)(e,{...o,children:(0,s.jsx)(g,{...o})}):g(o)}function f(o,e){throw new Error("Expected "+(e?"component":"object")+" `"+o+"` to be defined: you likely forgot to import, pass, or provide it.")}},28453:(o,e,n)=>{n.d(e,{R:()=>l,x:()=>c});var t=n(96540);const s={},r=t.createContext(s);function l(o){const e=t.useContext(r);return t.useMemo(function(){return"function"==typeof o?o(e):{...e,...o}},[e,o])}function c(o){let e;return e=o.disableParentContext?"function"==typeof o.components?o.components(s):o.components||s:l(o.components),t.createElement(r.Provider,{value:e},o.children)}}}]);
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diff --git a/assets/js/b37620f5.80fc6444.js b/assets/js/b37620f5.80fc6444.js
deleted file mode 100644
index 7de9537da7..0000000000
--- a/assets/js/b37620f5.80fc6444.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[4656],{16009:(o,e,n)=>{n.r(e),n.d(e,{CH:()=>p,assets:()=>i,chCodeConfig:()=>d,contentTitle:()=>a,default:()=>u,frontMatter:()=>c,metadata:()=>t,toc:()=>h});const t=JSON.parse('{"id":"Configuration/configuration-custom-database","title":"Configure an external PostgreSQL database","description":"Langflow\'s default database is SQLite, but you can configure Langflow to use PostgreSQL instead.","source":"@site/docs/Configuration/configuration-custom-database.mdx","sourceDirName":"Configuration","slug":"/configuration-custom-database","permalink":"/configuration-custom-database","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Configure an external PostgreSQL database","slug":"/configuration-custom-database"},"sidebar":"docs","previous":{"title":"Use Session IDs","permalink":"/session-id"},"next":{"title":"Logs","permalink":"/logging"}}');var s=n(74848),r=n(28453),l=n(24754);const c={title:"Configure an external PostgreSQL database",slug:"/configuration-custom-database"},a=void 0,i={},p={annotations:l.hk,Code:l.Cy},d={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},h=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Connect Langflow to a local PostgreSQL database",id:"connect-langflow-to-a-local-postgresql-database",level:2},{value:"Deploy Langflow and PostgreSQL containers with docker-compose.yml",id:"deploy-langflow-and-postgresql-containers-with-docker-composeyml",level:2},{value:"Deploy multiple Langflow instances with a shared PostgreSQL database",id:"deploy-multiple-langflow-instances-with-a-shared-postgresql-database",level:2}];function g(o){const e={a:"a",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",ul:"ul",...(0,r.R)(),...o.components};return p||f("CH",!1),p.Code||f("CH.Code",!0),(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: 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better suited for production environments due to its robust support for concurrent users, advanced data integrity features, and scalability.\nLangflow can more efficiently handle multiple users and larger workloads by using PostgreSQL as the database."}),"\n",(0,s.jsx)(e.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsx)(e.li,{children:(0,s.jsx)(e.a,{href:"/get-started-installation",children:"Install and start Langflow"})}),"\n",(0,s.jsxs)(e.li,{children:["Create a ",(0,s.jsx)(e.a,{href:"https://www.pgadmin.org/download/",children:"PostgreSQL"})," database"]}),"\n"]}),"\n",(0,s.jsx)(e.h2,{id:"connect-langflow-to-a-local-postgresql-database",children:"Connect Langflow to a local PostgreSQL database"}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["If Langflow is running, stop Langflow with ",(0,s.jsx)("kbd",{children:"Ctrl+C"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Find your PostgreSQL database's connection string in the format ",(0,s.jsx)(e.code,{children:"postgresql://user:password@host:port/dbname"}),"."]}),"\n",(0,s.jsx)(e.p,{children:"The hostname in your connection string depends on how you're running PostgreSQL:"}),"\n",(0,s.jsxs)(e.ul,{children:["\n",(0,s.jsxs)(e.li,{children:["If you're running PostgreSQL directly on your machine, use ",(0,s.jsx)(e.code,{children:"localhost"}),"."]}),"\n",(0,s.jsxs)(e.li,{children:["If you're running PostgreSQL in Docker Compose, use the service name, such as ",(0,s.jsx)(e.code,{children:"postgres"}),"."]}),"\n",(0,s.jsxs)(e.li,{children:["If you're running PostgreSQL in a separate Docker container with ",(0,s.jsx)(e.code,{children:"docker run"}),", use the container's IP address or network alias."]}),"\n",(0,s.jsx)(e.li,{children:"If you're running a cloud-hosted PostgreSQL, your 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This ensures that the services can communicate with each other using their service names as hostnames, such as ",(0,s.jsx)(e.code,{children:"postgres"})," in the database URL.\nIn contrast, if you run PostgreSQL separately with ",(0,s.jsx)(e.code,{children:"docker run"}),", it launches in a different network than the Langflow container, and this prevents Langflow from connecting to PostgreSQL using the service name."]}),"\n",(0,s.jsxs)(e.p,{children:["To start the Langflow and PostgreSQL services with the example Docker Compose file, navigate to the ",(0,s.jsx)(e.code,{children:"langflow/docker_example"})," directory, and then run ",(0,s.jsx)(e.code,{children:"docker-compose up"}),".\nIf you're using a different ",(0,s.jsx)(e.code,{children:"docker-compose.yml"})," file, run the ",(0,s.jsx)(e.code,{children:"docker-compose up"})," command from the same directory as your ",(0,s.jsx)(e.code,{children:"docker-compose.yml"})," file."]}),"\n",(0,s.jsx)(e.h2,{id:"deploy-multiple-langflow-instances-with-a-shared-postgresql-database",children:"Deploy multiple Langflow instances with a shared PostgreSQL database"}),"\n",(0,s.jsxs)(e.p,{children:["To configure multiple Langflow instances that share the same PostgreSQL database, modify your ",(0,s.jsx)(e.code,{children:"docker-compose.yml"})," file to include multiple Langflow services."]}),"\n",(0,s.jsxs)(e.p,{children:["This example populates the values in ",(0,s.jsx)(e.code,{children:"docker-compose.yml"})," with values from your Langflow ",(0,s.jsx)(e.code,{children:".env"})," file.\nThis approach means you only have to manage deployment variables in one file, instead of copying values across multiple files."]}),"\n",(0,s.jsxs)(e.ol,{children:["\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Update your ",(0,s.jsx)(e.code,{children:".env"})," file with values for your PostgreSQL database:"]}),"\n",(0,s.jsx)(p.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"POSTGRES_USER=langflow",props:{}}]},{tokens:[{content:"POSTGRES_PASSWORD=your_secure_password",props:{}}]},{tokens:[{content:"POSTGRES_DB=langflow",props:{}}]},{tokens:[{content:"POSTGRES_HOST=postgres",props:{}}]},{tokens:[{content:"POSTGRES_PORT=5432",props:{}}]},{tokens:[{content:"LANGFLOW_CONFIG_DIR=app/langflow",props:{}}]},{tokens:[{content:"LANGFLOW_PORT_1=7860",props:{}}]},{tokens:[{content:"LANGFLOW_PORT_2=7861",props:{}}]},{tokens:[{content:"LANGFLOW_HOST=0.0.0.0",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Reference these variables in your ",(0,s.jsx)(e.code,{children:"docker-compose.yml"}),".\nFor example:"]}),"\n",(0,s.jsx)(p.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"services",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  postgres",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    image",props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"postgres:16",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    environment",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"      - 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",props:{style:{color:"#C9D1D9"}}},{content:"PORT=7860",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"    volumes",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"      - ",props:{style:{color:"#C9D1D9"}}},{content:"langflow-data-2:/app/langflow",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"volumes",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  langflow-postgres",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  langflow-data-1",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  langflow-data-2",props:{style:{color:"#7EE787"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]}],lang:"yaml"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Deploy the file with ",(0,s.jsx)(e.code,{children:"docker-compose up"}),".\nYou can access the first Langflow instance at ",(0,s.jsx)(e.code,{children:"http://localhost:7860"}),", and the second Langflow instance at ",(0,s.jsx)(e.code,{children:"http://localhost:7861"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To confirm both instances are using the same database, run the ",(0,s.jsx)(e.code,{children:"docker exec"})," command to start ",(0,s.jsx)(e.code,{children:"psql"})," in your PostgreSQL container.\nYour container name may vary."]}),"\n",(0,s.jsx)(p.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"docker ",props:{style:{color:"#FFA657"}}},{content:"exec ",props:{style:{color:"#A5D6FF"}}},{content:"-it ",props:{style:{color:"#79C0FF"}}},{content:"docker-test-postgres-1 psql ",props:{style:{color:"#A5D6FF"}}},{content:"-U ",props:{style:{color:"#79C0FF"}}},{content:"langflow ",props:{style:{color:"#A5D6FF"}}},{content:"-d ",props:{style:{color:"#79C0FF"}}},{content:"langflow",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsx)(e.p,{children:"Query the database for active connections:"}),"\n",(0,s.jsx)(p.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"langflow",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"# ",props:{style:{color:"#C9D1D9"}}},{content:"SELECT * FROM",props:{style:{color:"#FF7B72"}}},{content:" pg_stat_activity ",props:{style:{color:"#C9D1D9"}}},{content:"WHERE",props:{style:{color:"#FF7B72"}}},{content:" datname ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:"'langflow'",props:{style:{color:"#A5D6FF"}}},{content:";",props:{style:{color:"#C9D1D9"}}}]}],lang:"sql"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["Examine the query results for multiple connections with different ",(0,s.jsx)(e.code,{children:"client_addr"})," values, for example ",(0,s.jsx)(e.code,{children:"172.21.0.3"})," and ",(0,s.jsx)(e.code,{children:"172.21.0.4"}),".\nSince each Langflow instance runs in its own container on the Docker network, using different incoming IP addresses confirms that both instances are actively connected to the PostgreSQL database."]}),"\n"]}),"\n",(0,s.jsxs)(e.li,{children:["\n",(0,s.jsxs)(e.p,{children:["To quit psql, type ",(0,s.jsx)(e.code,{children:"quit"}),"."]}),"\n"]}),"\n"]})]})}function u(o={}){const{wrapper:e}={...(0,r.R)(),...o.components};return e?(0,s.jsx)(e,{...o,children:(0,s.jsx)(g,{...o})}):g(o)}function f(o,e){throw new Error("Expected "+(e?"component":"object")+" `"+o+"` to be defined: you likely forgot to import, pass, or provide it.")}},28453:(o,e,n)=>{n.d(e,{R:()=>l,x:()=>c});var t=n(96540);const s={},r=t.createContext(s);function l(o){const e=t.useContext(r);return t.useMemo(function(){return"function"==typeof o?o(e):{...e,...o}},[e,o])}function c(o){let e;return e=o.disableParentContext?"function"==typeof o.components?o.components(s):o.components||s:l(o.components),t.createElement(r.Provider,{value:e},o.children)}}}]);
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diff --git a/assets/js/b9f9404d.22258c52.js b/assets/js/b9f9404d.9fadf67f.js
similarity index 99%
rename from assets/js/b9f9404d.22258c52.js
rename to assets/js/b9f9404d.9fadf67f.js
index 11dce40d5a..368c2a495e 100644
--- a/assets/js/b9f9404d.22258c52.js
+++ b/assets/js/b9f9404d.9fadf67f.js
@@ -1 +1 @@
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new file mode 100644
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deleted file mode 100644
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}'}}),"\n","\n",(0,r.jsxs)(n.p,{children:["This flow demonstrates using an ",(0,r.jsx)(n.a,{href:"/agents",children:"Agent"})," in a flow.\nAn ",(0,r.jsx)(n.strong,{children:"Agent"}),' uses an LLM as its "brain" to select among the connected tools and complete its tasks.']}),"\n",(0,r.jsxs)(n.p,{children:["In this flow, the ",(0,r.jsx)(n.strong,{children:"Agent"})," reasons using a connected ",(0,r.jsx)(n.a,{href:"/components-models",children:"Language model"})," component.\nThe ",(0,r.jsx)(n.strong,{children:"Agent"})," selects the ",(0,r.jsx)(n.a,{href:"/components-helpers#calculator",children:"Calculator"})," tool for simple math problems, and the ",(0,r.jsx)(n.a,{href:"/components-data#url",children:"URL"})," tool to search a URL for content."]}),"\n",(0,r.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:(0,r.jsx)(n.a,{href:"/get-started-installation",children:"Install and start Langflow"})}),"\n",(0,r.jsxs)(n.li,{children:["Create an ",(0,r.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"})]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"open-langflow-and-start-a-new-flow",children:"Open Langflow and start a new flow"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["From the Langflow dashboard, click ",(0,r.jsx)(n.strong,{children:"New Flow"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Select ",(0,r.jsx)(n.strong,{children:"Simple Agent"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Simple Agent"})," flow is created."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"Simple agent starter flow",src:t(33946).A+"",width:"4000",height:"2180"})}),"\n",(0,r.jsx)(n.h2,{id:"run-the-simple-agent-flow",children:"Run the simple agent flow"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Add your ",(0,r.jsx)(n.strong,{children:"OpenAI API key"})," to the ",(0,r.jsx)(n.strong,{children:"Agent"})," component."]}),"\n",(0,r.jsxs)(n.p,{children:["Optionally, create a ",(0,r.jsx)(n.a,{href:"/configuration-global-variables",children:"global variable"})," for the ",(0,r.jsx)(n.strong,{children:"OpenAI API key"}),"."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["In the ",(0,r.jsx)(n.strong,{children:"OpenAI API Key"})," field, click ",(0,r.jsx)(a.A,{name:"Globe","aria-hidden":"True"})," ",(0,r.jsx)(n.strong,{children:"Globe"}),", and then click ",(0,r.jsx)(n.strong,{children:"Add New Variable"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["In the ",(0,r.jsx)(n.strong,{children:"Variable Name"})," field, enter ",(0,r.jsx)(n.code,{children:"openai_api_key"}),"."]}),"\n",(0,r.jsxs)(n.li,{children:["In the ",(0,r.jsx)(n.strong,{children:"Value"})," field, paste your OpenAI API Key (",(0,r.jsx)(n.code,{children:"sk-..."}),")."]}),"\n",(0,r.jsxs)(n.li,{children:["Click ",(0,r.jsx)(n.strong,{children:"Save Variable"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To run the flow, click ",(0,r.jsx)(a.A,{name:"Play","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Playground"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To confirm the tools are connected, ask the agent, ",(0,r.jsx)(n.code,{children:"What tools are available to you?"}),"\nThe response is similar to the following:"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I have access to the following tools:",props:{}}]},{tokens:[{content:"Calculator: Perform basic arithmetic operations.",props:{}}]},{tokens:[{content:"fetch_content: Load and retrieve data from specified URLs.",props:{}}]},{tokens:[{content:"fetch_content_text: Load and retrieve text from specified URLs.",props:{}}]},{tokens:[{content:"as_dataframe: Load and retrieve data in a structured format (dataframe) from specified URLs.",props:{}}]},{tokens:[{content:"get_current_date: Returns the current date and time in a selected timezone.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Ask the agent a question. For example, ask it to create a tabletop character using your favorite rules set.\nThe agent tells you when it's using the ",(0,r.jsx)(n.code,{children:"URL-fetch_content_text"})," tool to search for rules information, and when it's using ",(0,r.jsx)(n.code,{children:"CalculatorComponent-evaluate_expression"})," to generate attributes with dice rolls.\nThe final output should be similar to this:"]}),"\n",(0,r.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Final Attributes",props:{}}]},{tokens:[{content:"Strength (STR): 10",props:{}}]},{tokens:[{content:"Constitution (CON): 12",props:{}}]},{tokens:[{content:"Size (SIZ): 14",props:{}}]},{tokens:[{content:"Dexterity (DEX): 9",props:{}}]},{tokens:[{content:"Intelligence (INT): 11",props:{}}]},{tokens:[{content:"Power (POW): 13",props:{}}]},{tokens:[{content:"Charisma (CHA): 8",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["Now that your query has completed the journey from ",(0,r.jsx)(n.strong,{children:"Chat input"})," to ",(0,r.jsx)(n.strong,{children:"Chat output"}),", you have completed the ",(0,r.jsx)(n.strong,{children:"Simple Agent"})," flow."]})]})}function f(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}function m(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}}}]);
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diff --git a/assets/js/cce672fb.58659512.js b/assets/js/cce672fb.58659512.js
deleted file mode 100644
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--- a/assets/js/cce672fb.58659512.js
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-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[6311],{17886:(e,n,t)=>{t.d(n,{A:()=>r});t(96540);var o=t(64058),s=t(74848);function r({name:e,...n}){const t=o[e];return t?(0,s.jsx)(t,{...n}):null}},24770:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/agent-example-add-chat-0fec77d5cd551fa755eb013c7aa5e1f0.png"},65535:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/agent-example-add-tools-a55635c0c740ce8a71bd7f1ecef2736f.png"},67800:(e,n,t)=>{t.r(n),t.d(n,{CH:()=>h,assets:()=>d,chCodeConfig:()=>p,contentTitle:()=>l,default:()=>m,frontMatter:()=>c,metadata:()=>o,toc:()=>g});const o=JSON.parse('{"id":"Agents/agents","title":"Use Langflow agents","description":"Langflow\'s Agent component is critical for building agentic flows.","source":"@site/docs/Agents/agents.mdx","sourceDirName":"Agents","slug":"/agents","permalink":"/agents","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Use Langflow agents","slug":"/agents"},"sidebar":"docs","previous":{"title":"Import and export flows","permalink":"/concepts-flows-import"},"next":{"title":"Configure tools for agents","permalink":"/agents-tools"}}');var s=t(74848),r=t(28453),a=t(24754),i=t(17886);const c={title:"Use Langflow agents",slug:"/agents"},l=void 0,d={},h={annotations:a.hk,Code:a.Cy},p={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},g=[{value:"Use the Agent component in a flow",id:"use-the-agent-component-in-a-flow",level:2},{value:"Agent component parameters",id:"agent-component-parameters",level:2},{value:"Provider and model",id:"provider-and-model",level:3},{value:"Model provider API key",id:"model-provider-api-key",level:3},{value:"Agent instructions and input",id:"agent-instructions-and-input",level:3},{value:"Tools",id:"tools",level:3},{value:"Agent memory",id:"agent-memory",level:3},{value:"Additional parameters",id:"additional-parameters",level:3},{value:"Agent component output",id:"agent-component-output",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,r.R)(),...e.components},{Details:o}=n;return h||x("CH",!1),h.Code||x("CH.Code",!0),o||x("Details",!0),(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n","\n",(0,s.jsxs)(n.p,{children:["Langflow's ",(0,s.jsxs)(n.a,{href:"/components-agents",children:[(0,s.jsx)(n.strong,{children:"Agent"})," component"]})," is critical for building agentic flows.\nThis component provides everything you need to create an agent, including multiple Large Language Model (LLM) providers, tool calling, and custom instructions.\nIt simplifies agent configuration so you can focus on application development."]}),"\n",(0,s.jsxs)(o,{children:[(0,s.jsx)("summary",{children:"How agents work"}),(0,s.jsxs)(n.p,{children:["Agents extend LLMs by integrating ",(0,s.jsx)(n.em,{children:"tools"}),", which are functions that provide additional context and enable autonomous task execution.\nThese integrations make agents more specialized and powerful than standalone LLMs."]}),(0,s.jsx)(n.p,{children:"Whereas an LLM might generate acceptable, inert responses to general queries and tasks, an agent can leverage the integrated context and tools to provide more relevant responses and even take action.\nFor example, you might create an agent that can access your company's knowledge base, repositories, and other resources to help your team with tasks that require knowledge of your specific products, customers, and code."}),(0,s.jsx)(n.p,{children:"Agents use LLMs as a reasoning engine to process input, determine which actions to take to address the query, and then generate a response.\nThe response could be a typical text-based LLM response, or it could involve an action, like editing a file, running a script, or calling an external API."}),(0,s.jsxs)(n.p,{children:["In an agentic context, tools are functions that the agent can run to perform tasks or access external resources.\nA function is wrapped as a ",(0,s.jsx)(n.code,{children:"Tool"})," object with a common interface that the agent understands.\nAgents become aware of tools through tool registration, which is when the agent is provided a list of available tools typically at agent initialization.\nThe ",(0,s.jsx)(n.code,{children:"Tool"})," object's description tells the agent what the tool can do so that it can decide whether the tool is appropriate for a given request."]})]}),"\n",(0,s.jsx)(n.h2,{id:"use-the-agent-component-in-a-flow",children:"Use the Agent component in a flow"}),"\n",(0,s.jsxs)(n.p,{children:["The following steps explain how to create an agentic flow in Langflow from a blank flow.\nFor a prebuilt example, use the ",(0,s.jsxs)(n.a,{href:"/simple-agent",children:[(0,s.jsx)(n.strong,{children:"Simple Agent"})," template"]})," or try the ",(0,s.jsx)(n.a,{href:"/get-started-quickstart",children:"Langflow quickstart"}),"."]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"New Flow"}),", and then click ",(0,s.jsx)(n.strong,{children:"Blank Flow"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Add an ",(0,s.jsx)(n.strong,{children:"Agent"})," component to the ",(0,s.jsx)(n.strong,{children:"Workspace"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Enter a valid OpenAI API key."}),"\n",(0,s.jsxs)(n.p,{children:["The default model for the ",(0,s.jsx)(n.strong,{children:"Agent"})," component is an OpenAI model.\nIf you want to use a different provider, edit the ",(0,s.jsx)(n.strong,{children:"Model Provider"}),", ",(0,s.jsx)(n.strong,{children:"Model Name"}),", and ",(0,s.jsx)(n.strong,{children:"API Key"})," fields accordingly.\nFor more information, see ",(0,s.jsx)(n.a,{href:"#agent-component-parameters",children:"Agent component parameters"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Add ",(0,s.jsxs)(n.a,{href:"/components-io",children:[(0,s.jsx)(n.strong,{children:"Chat Input"})," and ",(0,s.jsx)(n.strong,{children:"Chat Output"})," components"]})," to your flow, and then connect them to the ",(0,s.jsx)(n.strong,{children:"Agent"})," component."]}),"\n",(0,s.jsxs)(n.p,{children:["At this point, you have created a basic LLM-based chat flow that you can test in the ",(0,s.jsx)(i.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Playground"}),".\nHowever, this flow only chats with the LLM.\nTo enhance this flow and make it truly agentic, add some tools, as explained in the next steps."]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"A basic agent chat flow with Chat Input, Agent, and Chat Output components.",src:t(24770).A+"",width:"3704",height:"2572"})}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Add ",(0,s.jsx)(n.strong,{children:"News Search"}),", ",(0,s.jsx)(n.strong,{children:"URL"}),", and ",(0,s.jsx)(n.strong,{children:"Calculator"})," components to your flow."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Enable ",(0,s.jsx)(n.strong,{children:"Tool Mode"})," in the ",(0,s.jsx)(n.strong,{children:"News Search"}),", ",(0,s.jsx)(n.strong,{children:"URL"}),", and ",(0,s.jsx)(n.strong,{children:"Calculator"})," components:"]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["Click the ",(0,s.jsx)(n.strong,{children:"News Search"})," component to expose the ",(0,s.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then enable ",(0,s.jsx)(n.strong,{children:"Tool Mode"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Repeat for the ",(0,s.jsx)(n.strong,{children:"URL"})," and ",(0,s.jsx)(n.strong,{children:"Calculator"})," components."]}),"\n",(0,s.jsxs)(n.li,{children:["Connect the ",(0,s.jsx)(n.strong,{children:"Toolset"})," port for each tool component to the ",(0,s.jsx)(n.strong,{children:"Tools"})," port on the ",(0,s.jsx)(n.strong,{children:"Agent"})," component."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"Tool Mode"})," makes a component into a tool by modifying the component's inputs.\nWith ",(0,s.jsx)(n.strong,{children:"Tool Mode"})," enabled, a component can accept requests from an ",(0,s.jsx)(n.strong,{children:"Agent"})," component to use the component's available actions as tools."]}),"\n",(0,s.jsxs)(n.p,{children:["When in ",(0,s.jsx)(n.strong,{children:"Tool Mode"}),", a component has a ",(0,s.jsx)(n.strong,{children:"Toolset"})," port that you must connect to an ",(0,s.jsx)(n.strong,{children:"Agent"})," component's ",(0,s.jsx)(n.strong,{children:"Tools"})," port if you want to allow the agent to use that component's actions as tools."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see ",(0,s.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"}),"."]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"A more complex agent chat flow where three components are connected to the Agent component as tools",src:t(65535).A+"",width:"3380",height:"3012"})}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Open the ",(0,s.jsx)(i.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Playground"}),", and then ask the agent, ",(0,s.jsx)(n.code,{children:"What tools are you using to answer my questions?"})]}),"\n",(0,s.jsx)(n.p,{children:"The agent should respond with a list of the connected tools.\nIt may also include built-in tools."}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I use a combination of my built-in knowledge (up to June 2024) and a set of external tools to answer your questions. Here are the main types of tools I can use:",props:{}}]},{tokens:[{content:"Web Search & Content Fetching: I can fetch and summarize content from web pages, including crawling links recursively.",props:{}}]},{tokens:[{content:"News Search: I can search for recent news articles using Google News via RSS feeds.",props:{}}]},{tokens:[{content:"Calculator: I can perform arithmetic calculations and evaluate mathematical expressions.",props:{}}]},{tokens:[{content:"Date & Time: I can provide the current date and time in various time zones.",props:{}}]},{tokens:[{content:"These tools help me provide up-to-date information, perform calculations, and retrieve specific data from the internet when needed. If you have a specific question, let me know, and I'll use the most appropriate tool(s) to help!",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["To test a specific tool, ask the agent a question that uses one of the tools, such as ",(0,s.jsx)(n.code,{children:"Summarize today's tech news"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["To help you debug and test your flows, the ",(0,s.jsx)(n.strong,{children:"Playground"})," displays the agent's tool calls, the provided input, and the raw output the agent received before generating the summary.\nWith the given example, the agent should call the ",(0,s.jsx)(n.strong,{children:"News Search"})," component's ",(0,s.jsx)(n.code,{children:"search_news"})," action."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"You've successfully created a basic agentic flow that uses some generic tools."}),"\n",(0,s.jsxs)(n.p,{children:["To continue building on this tutorial, try connecting other tool components or ",(0,s.jsx)(n.a,{href:"/mcp-client",children:"use Langflow as an MCP client"})," to support more complex and specialized tasks."]}),"\n",(0,s.jsxs)(n.p,{children:["For a multi-agent example, see ",(0,s.jsx)(n.a,{href:"/agents-tools#use-an-agent-as-a-tool",children:"Use an agent as a tool"}),"."]}),"\n",(0,s.jsx)(n.h2,{id:"agent-component-parameters",children:"Agent component parameters"}),"\n",(0,s.jsxs)(n.p,{children:["You can configure the ",(0,s.jsx)(n.strong,{children:"Agent"})," component to use your preferred provider and model, custom instructions, and tools."]}),"\n",(0,s.jsx)(n.admonition,{type:"tip",children:(0,s.jsxs)(n.p,{children:["Many optional ",(0,s.jsx)(n.strong,{children:"Agent"})," component input parameters are hidden by default in the visual editor.\nYou can view and toggle all parameters through the ",(0,s.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Controls"})," in the ",(0,s.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]})}),"\n",(0,s.jsx)(n.h3,{id:"provider-and-model",children:"Provider and model"}),"\n",(0,s.jsxs)(n.p,{children:["Use the ",(0,s.jsx)(n.strong,{children:"Model Provider"})," (",(0,s.jsx)(n.code,{children:"agent_llm"}),") and ",(0,s.jsx)(n.strong,{children:"Model Name"})," (",(0,s.jsx)(n.code,{children:"llm_model"}),") settings to select the model provider and LLM that you want the agent to use."]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Agent"})," component includes many models from several popular model providers.\nTo access other providers and models, set ",(0,s.jsx)(n.strong,{children:"Model Provider"})," to ",(0,s.jsx)(n.strong,{children:"Custom"}),", and then connect any ",(0,s.jsxs)(n.a,{href:"/components-models",children:[(0,s.jsx)(n.strong,{children:"Language Model"})," component"]}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["If you need to generate embeddings in your flow, use an ",(0,s.jsxs)(n.a,{href:"/components-embedding-models",children:[(0,s.jsx)(n.strong,{children:"Embedding Model"})," component"]}),"."]}),"\n",(0,s.jsx)(n.h3,{id:"model-provider-api-key",children:"Model provider API key"}),"\n",(0,s.jsxs)(n.p,{children:["In the ",(0,s.jsx)(n.strong,{children:"API Key"})," field, enter a valid authentication key for your selected model provider, if you are using a built-in provider.\nFor example, to use the default OpenAI model, you must provide a valid OpenAI API key for an OpenAI account that has credits and permission to call OpenAI LLMs."]}),"\n",(0,s.jsxs)(n.p,{children:["You can enter the key directly, but it is recommended that you follow industry best practices for storing and referencing API keys.\nFor example, you can use a ",(0,s.jsx)(i.A,{name:"Globe","aria-hidden":"true"})," ",(0,s.jsx)(n.a,{href:"/configuration-global-variables",children:"global variable"})," or ",(0,s.jsx)(n.a,{href:"/environment-variables",children:"environment variables"}),".\nFor more information, see ",(0,s.jsx)(n.a,{href:"/configuration-api-keys#add-component-api-keys-to-langflow",children:"Add component API keys to Langflow"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["If you select ",(0,s.jsx)(n.strong,{children:"Custom"})," as the model provider, authentication is handled in the incoming ",(0,s.jsx)(n.strong,{children:"Language Model"})," component."]}),"\n",(0,s.jsx)(n.h3,{id:"agent-instructions-and-input",children:"Agent instructions and input"}),"\n",(0,s.jsxs)(n.p,{children:["In the ",(0,s.jsx)(n.strong,{children:"Agent Instructions"})," (",(0,s.jsx)(n.code,{children:"system_prompt"}),") field, you can provide custom instructions that you want the ",(0,s.jsx)(n.strong,{children:"Agent"})," component to use for every conversation."]}),"\n",(0,s.jsxs)(n.p,{children:["These instructions are applied in addition to the ",(0,s.jsx)(n.strong,{children:"Input"})," (",(0,s.jsx)(n.code,{children:"input_value"}),"), which can be entered directly or provided through another component, such as a ",(0,s.jsx)(n.strong,{children:"Chat Input"})," component."]}),"\n",(0,s.jsx)(n.h3,{id:"tools",children:"Tools"}),"\n",(0,s.jsx)(n.p,{children:"Agents are most useful when they have the appropriate tools available to complete requests."}),"\n",(0,s.jsxs)(n.p,{children:["An ",(0,s.jsx)(n.strong,{children:"Agent"})," component can use any Langflow component as a tool, including other agents and MCP servers."]}),"\n",(0,s.jsxs)(n.p,{children:["To attach a component as a tool, you must enable ",(0,s.jsx)(n.strong,{children:"Tool Mode"})," on the component that you want to attach, and then attach it to the ",(0,s.jsx)(n.strong,{children:"Agent"})," component's ",(0,s.jsx)(n.strong,{children:"Tools"})," port.\nFor more information, see ",(0,s.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"}),"."]}),"\n",(0,s.jsx)(n.admonition,{type:"tip",children:(0,s.jsxs)(n.p,{children:["To allow agents to use tools from MCP servers, use the ",(0,s.jsxs)(n.a,{href:"/components-agents#mcp-connection",children:[(0,s.jsx)(n.strong,{children:"MCP Tools"})," component"]}),"."]})}),"\n",(0,s.jsx)(n.h3,{id:"agent-memory",children:"Agent memory"}),"\n",(0,s.jsx)(n.p,{children:"Langflow agents have built-in chat memory that is enabled by default.\nThis memory allows them to retrieve and reference messages from previous conversations, maintaining a rolling context window for each chat session ID."}),"\n",(0,s.jsxs)(n.p,{children:["Chat memories are grouped by ",(0,s.jsxs)(n.a,{href:"/session-id",children:["session ID (",(0,s.jsx)(n.code,{children:"session_id"}),")"]}),".\nIt is recommended to use custom session IDs if you need to segregate chat memory for different users or applications that run the same flow."]}),"\n",(0,s.jsxs)(n.p,{children:["By default, the ",(0,s.jsx)(n.strong,{children:"Agent"})," component uses your Langflow installation's storage, and it retrieves a limited number of chat messages, which you can configure with the ",(0,s.jsx)(n.strong,{children:"Number of Chat History Messages"})," parameter."]}),"\n",(0,s.jsxs)(n.p,{children:["Although the ",(0,s.jsx)(n.strong,{children:"Message History"})," component isn't required for default chat memory, it provides more options for sorting, filtering, and limiting memories, and the ",(0,s.jsx)(n.strong,{children:"Message History"})," component is required to use external chat memory like Mem0."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see ",(0,s.jsx)(n.a,{href:"/memory#store-chat-memory",children:"Store chat memory"})," and ",(0,s.jsxs)(n.a,{href:"/components-helpers#message-history",children:[(0,s.jsx)(n.strong,{children:"Message History"})," component"]}),"."]}),"\n",(0,s.jsx)(n.h3,{id:"additional-parameters",children:"Additional parameters"}),"\n",(0,s.jsxs)(n.p,{children:["Many optional ",(0,s.jsx)(n.strong,{children:"Agent"})," component input parameters are hidden by default in the visual editor.\nYou can view and toggle all parameters through the ",(0,s.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Controls"})," in the ",(0,s.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["With the ",(0,s.jsx)(n.strong,{children:"Agent"})," component, the available parameters can change depending on the selected provider and model.\nFor example, some models support additional modes, arguments, or features like chat memory and temperature."]}),"\n",(0,s.jsx)(n.p,{children:"Some additional input parameters include the following:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Current Date"})," (",(0,s.jsx)(n.code,{children:"add_current_date_tool"}),"): When enabled (",(0,s.jsx)(n.code,{children:"true"}),"), this setting adds a tool to the agent that can retrieve the current date."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Handle Parse Errors"})," (",(0,s.jsx)(n.code,{children:"handle_parsing_errors"}),"): When enabled (",(0,s.jsx)(n.code,{children:"true"}),"), this setting allows the agent to fix errors, like typos, when analyzing user input."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Verbose"})," (",(0,s.jsx)(n.code,{children:"verbose"}),"): When enabled (",(0,s.jsx)(n.code,{children:"true"}),"), this setting records detailed logging output for debugging and analysis."]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"agent-component-output",children:"Agent component output"}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Agent"})," component outputs a ",(0,s.jsx)(n.strong,{children:"Response"})," (",(0,s.jsx)(n.code,{children:"response"}),") that is ",(0,s.jsxs)(n.a,{href:"/data-types#message",children:[(0,s.jsx)(n.code,{children:"Message"})," data"]})," containing the agent's raw response to the query."]}),"\n",(0,s.jsxs)(n.p,{children:["Typically, this is passed to a ",(0,s.jsx)(n.strong,{children:"Chat Output"})," component to return the response in a human-readable format.\nIt can also be passed to other components if you need to process the response further before, or in addition to, returning it to the user."]})]})}function m(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(u,{...e})}):u(e)}function x(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}}}]);
\ No newline at end of file
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[6311],{17886:(e,n,t)=>{t.d(n,{A:()=>r});t(96540);var o=t(64058),s=t(74848);function r({name:e,...n}){const t=o[e];return t?(0,s.jsx)(t,{...n}):null}},24770:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/agent-example-add-chat-0fec77d5cd551fa755eb013c7aa5e1f0.png"},65535:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/agent-example-add-tools-a55635c0c740ce8a71bd7f1ecef2736f.png"},67800:(e,n,t)=>{t.r(n),t.d(n,{CH:()=>h,assets:()=>d,chCodeConfig:()=>p,contentTitle:()=>c,default:()=>m,frontMatter:()=>l,metadata:()=>o,toc:()=>g});const o=JSON.parse('{"id":"Agents/agents","title":"Use Langflow agents","description":"Langflow\'s Agent component is critical for building agentic flows.","source":"@site/docs/Agents/agents.mdx","sourceDirName":"Agents","slug":"/agents","permalink":"/agents","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Use Langflow 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parameters",id:"additional-parameters",level:3},{value:"Agent component output",id:"agent-component-output",level:2},{value:"See also",id:"see-also",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,r.R)(),...e.components},{Details:o}=n;return h||x("CH",!1),h.Code||x("CH.Code",!0),o||x("Details",!0),(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: 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providers, tool calling, and custom instructions.\nIt simplifies agent configuration so you can focus on application development."]}),"\n",(0,s.jsxs)(o,{children:[(0,s.jsx)("summary",{children:"How agents work"}),(0,s.jsxs)(n.p,{children:["Agents extend LLMs by integrating ",(0,s.jsx)(n.em,{children:"tools"}),", which are functions that provide additional context and enable autonomous task execution.\nThese integrations make agents more specialized and powerful than standalone LLMs."]}),(0,s.jsx)(n.p,{children:"Whereas an LLM might generate acceptable, inert responses to general queries and tasks, an agent can leverage the integrated context and tools to provide more relevant responses and even take action.\nFor example, you might create an agent that can access your company's knowledge base, repositories, and other resources to help your team with tasks that require knowledge of your specific products, customers, and code."}),(0,s.jsx)(n.p,{children:"Agents use LLMs as a reasoning engine to process input, determine which actions to take to address the query, and then generate a response.\nThe response could be a typical text-based LLM response, or it could involve an action, like editing a file, running a script, or calling an external API."}),(0,s.jsxs)(n.p,{children:["In an agentic context, tools are functions that the agent can run to perform tasks or access external resources.\nA function is wrapped as a ",(0,s.jsx)(n.code,{children:"Tool"})," object with a common interface that the agent understands.\nAgents become aware of tools through tool registration, which is when the agent is provided a list of available tools typically at agent initialization.\nThe ",(0,s.jsx)(n.code,{children:"Tool"})," object's description tells the agent what the tool can do so that it can decide whether the tool is appropriate for a given request."]})]}),"\n",(0,s.jsx)(n.h2,{id:"use-the-agent-component-in-a-flow",children:"Use the Agent component in a flow"}),"\n",(0,s.jsxs)(n.p,{children:["The following steps explain how to create an agentic flow in Langflow from a blank flow.\nFor a prebuilt example, use the ",(0,s.jsxs)(n.a,{href:"/simple-agent",children:[(0,s.jsx)(n.strong,{children:"Simple Agent"})," template"]})," or try the ",(0,s.jsx)(n.a,{href:"/get-started-quickstart",children:"Langflow quickstart"}),"."]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"New Flow"}),", and then click ",(0,s.jsx)(n.strong,{children:"Blank Flow"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Add an ",(0,s.jsx)(n.strong,{children:"Agent"})," component to the ",(0,s.jsx)(n.strong,{children:"Workspace"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Enter a valid OpenAI API key."}),"\n",(0,s.jsxs)(n.p,{children:["The default model for the ",(0,s.jsx)(n.strong,{children:"Agent"})," component is an OpenAI model.\nIf you want to use a different provider, edit the ",(0,s.jsx)(n.strong,{children:"Model Provider"}),", ",(0,s.jsx)(n.strong,{children:"Model Name"}),", and ",(0,s.jsx)(n.strong,{children:"API Key"})," fields accordingly.\nFor more information, see ",(0,s.jsx)(n.a,{href:"#agent-component-parameters",children:"Agent component parameters"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Add ",(0,s.jsxs)(n.a,{href:"/components-io",children:[(0,s.jsx)(n.strong,{children:"Chat Input"})," and ",(0,s.jsx)(n.strong,{children:"Chat Output"})," components"]})," to your flow, and then connect them to the ",(0,s.jsx)(n.strong,{children:"Agent"})," component."]}),"\n",(0,s.jsxs)(n.p,{children:["At this point, you have created a basic LLM-based chat flow that you can test in the ",(0,s.jsx)(i.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Playground"}),".\nHowever, this flow only chats with the LLM.\nTo enhance this flow and make it truly agentic, add some tools, as explained in the next steps."]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"A basic agent chat flow with Chat Input, Agent, and Chat Output components.",src:t(24770).A+"",width:"3704",height:"2572"})}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Add ",(0,s.jsx)(n.strong,{children:"News Search"}),", ",(0,s.jsx)(n.strong,{children:"URL"}),", and ",(0,s.jsx)(n.strong,{children:"Calculator"})," components to your flow."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Enable ",(0,s.jsx)(n.strong,{children:"Tool Mode"})," in the ",(0,s.jsx)(n.strong,{children:"News Search"}),", ",(0,s.jsx)(n.strong,{children:"URL"}),", and ",(0,s.jsx)(n.strong,{children:"Calculator"})," components:"]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["Click the ",(0,s.jsx)(n.strong,{children:"News Search"})," component to expose the ",(0,s.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then enable ",(0,s.jsx)(n.strong,{children:"Tool Mode"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Repeat for the ",(0,s.jsx)(n.strong,{children:"URL"})," and ",(0,s.jsx)(n.strong,{children:"Calculator"})," components."]}),"\n",(0,s.jsxs)(n.li,{children:["Connect the ",(0,s.jsx)(n.strong,{children:"Toolset"})," port for each tool component to the ",(0,s.jsx)(n.strong,{children:"Tools"})," port on the ",(0,s.jsx)(n.strong,{children:"Agent"})," component."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"Tool Mode"})," makes a component into a tool by modifying the component's inputs.\nWith ",(0,s.jsx)(n.strong,{children:"Tool Mode"})," enabled, a component can accept requests from an ",(0,s.jsx)(n.strong,{children:"Agent"})," component to use the component's available actions as tools."]}),"\n",(0,s.jsxs)(n.p,{children:["When in ",(0,s.jsx)(n.strong,{children:"Tool Mode"}),", a component has a ",(0,s.jsx)(n.strong,{children:"Toolset"})," port that you must connect to an ",(0,s.jsx)(n.strong,{children:"Agent"})," component's ",(0,s.jsx)(n.strong,{children:"Tools"})," port if you want to allow the agent to use that component's actions as tools."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see ",(0,s.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"}),"."]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"A more complex agent chat flow where three components are connected to the Agent component as tools",src:t(65535).A+"",width:"3380",height:"3012"})}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Open the ",(0,s.jsx)(i.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Playground"}),", and then ask the agent, ",(0,s.jsx)(n.code,{children:"What tools are you using to answer my questions?"})]}),"\n",(0,s.jsx)(n.p,{children:"The agent should respond with a list of the connected tools.\nIt may also include built-in tools."}),"\n",(0,s.jsx)(h.Code,{codeConfig:p,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I use a combination of my built-in knowledge (up to June 2024) and a set of external tools to answer your questions. Here are the main types of tools I can use:",props:{}}]},{tokens:[{content:"Web Search & Content Fetching: I can fetch and summarize content from web pages, including crawling links recursively.",props:{}}]},{tokens:[{content:"News Search: I can search for recent news articles using Google News via RSS feeds.",props:{}}]},{tokens:[{content:"Calculator: I can perform arithmetic calculations and evaluate mathematical expressions.",props:{}}]},{tokens:[{content:"Date & Time: I can provide the current date and time in various time zones.",props:{}}]},{tokens:[{content:"These tools help me provide up-to-date information, perform calculations, and retrieve specific data from the internet when needed. If you have a specific question, let me know, and I'll use the most appropriate tool(s) to help!",props:{}}]}],lang:"text"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["To test a specific tool, ask the agent a question that uses one of the tools, such as ",(0,s.jsx)(n.code,{children:"Summarize today's tech news"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["To help you debug and test your flows, the ",(0,s.jsx)(n.strong,{children:"Playground"})," displays the agent's tool calls, the provided input, and the raw output the agent received before generating the summary.\nWith the given example, the agent should call the ",(0,s.jsx)(n.strong,{children:"News Search"})," component's ",(0,s.jsx)(n.code,{children:"search_news"})," action."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"You've successfully created a basic agentic flow that uses some generic tools."}),"\n",(0,s.jsxs)(n.p,{children:["To continue building on this tutorial, try connecting other tool components or ",(0,s.jsx)(n.a,{href:"/mcp-client",children:"use Langflow as an MCP client"})," to support more complex and specialized tasks."]}),"\n",(0,s.jsxs)(n.p,{children:["For a multi-agent example, see ",(0,s.jsx)(n.a,{href:"/agents-tools#use-an-agent-as-a-tool",children:"Use an agent as a tool"}),"."]}),"\n",(0,s.jsx)(n.h2,{id:"agent-component-parameters",children:"Agent component parameters"}),"\n",(0,s.jsxs)(n.p,{children:["You can configure the ",(0,s.jsx)(n.strong,{children:"Agent"})," component to use your preferred provider and model, custom instructions, and tools."]}),"\n",(0,s.jsx)(n.admonition,{type:"tip",children:(0,s.jsxs)(n.p,{children:["Many optional ",(0,s.jsx)(n.strong,{children:"Agent"})," component input parameters are hidden by default in the visual editor.\nYou can access all component parameters through the ",(0,s.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Controls"})," in the ",(0,s.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]})}),"\n",(0,s.jsx)(n.h3,{id:"provider-and-model",children:"Provider and model"}),"\n",(0,s.jsxs)(n.p,{children:["Use the ",(0,s.jsx)(n.strong,{children:"Model Provider"})," (",(0,s.jsx)(n.code,{children:"agent_llm"}),") and ",(0,s.jsx)(n.strong,{children:"Model Name"})," (",(0,s.jsx)(n.code,{children:"llm_model"}),") settings to select the model provider and LLM that you want the agent to use."]}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Agent"})," component includes many models from several popular model providers.\nTo access other providers and models, set ",(0,s.jsx)(n.strong,{children:"Model Provider"})," to ",(0,s.jsx)(n.strong,{children:"Custom"}),", and then connect any ",(0,s.jsxs)(n.a,{href:"/components-models",children:[(0,s.jsx)(n.strong,{children:"Language Model"})," component"]}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["If you need to generate embeddings in your flow, use an ",(0,s.jsxs)(n.a,{href:"/components-embedding-models",children:[(0,s.jsx)(n.strong,{children:"Embedding Model"})," component"]}),"."]}),"\n",(0,s.jsx)(n.h3,{id:"model-provider-api-key",children:"Model provider API key"}),"\n",(0,s.jsxs)(n.p,{children:["In the ",(0,s.jsx)(n.strong,{children:"API Key"})," field, enter a valid authentication key for your selected model provider, if you are using a built-in provider.\nFor example, to use the default OpenAI model, you must provide a valid OpenAI API key for an OpenAI account that has credits and permission to call OpenAI LLMs."]}),"\n",(0,s.jsxs)(n.p,{children:["You can enter the key directly, but it is recommended that you follow industry best practices for storing and referencing API keys.\nFor example, you can use a ",(0,s.jsx)(i.A,{name:"Globe","aria-hidden":"true"})," ",(0,s.jsx)(n.a,{href:"/configuration-global-variables",children:"global variable"})," or ",(0,s.jsx)(n.a,{href:"/environment-variables",children:"environment variables"}),".\nFor more information, see ",(0,s.jsx)(n.a,{href:"/configuration-api-keys#add-component-api-keys-to-langflow",children:"Add component API keys to Langflow"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["If you select ",(0,s.jsx)(n.strong,{children:"Custom"})," as the model provider, authentication is handled in the incoming ",(0,s.jsx)(n.strong,{children:"Language Model"})," component."]}),"\n",(0,s.jsx)(n.h3,{id:"agent-instructions-and-input",children:"Agent instructions and input"}),"\n",(0,s.jsxs)(n.p,{children:["In the ",(0,s.jsx)(n.strong,{children:"Agent Instructions"})," (",(0,s.jsx)(n.code,{children:"system_prompt"}),") field, you can provide custom instructions that you want the ",(0,s.jsx)(n.strong,{children:"Agent"})," component to use for every conversation."]}),"\n",(0,s.jsxs)(n.p,{children:["These instructions are applied in addition to the ",(0,s.jsx)(n.strong,{children:"Input"})," (",(0,s.jsx)(n.code,{children:"input_value"}),"), which can be entered directly or provided through another component, such as a ",(0,s.jsx)(n.strong,{children:"Chat Input"})," component."]}),"\n",(0,s.jsx)(n.h3,{id:"tools",children:"Tools"}),"\n",(0,s.jsx)(n.p,{children:"Agents are most useful when they have the appropriate tools available to complete requests."}),"\n",(0,s.jsxs)(n.p,{children:["An ",(0,s.jsx)(n.strong,{children:"Agent"})," component can use any Langflow component as a tool, including other agents and MCP servers."]}),"\n",(0,s.jsxs)(n.p,{children:["To attach a component as a tool, you must enable ",(0,s.jsx)(n.strong,{children:"Tool Mode"})," on the component that you want to attach, and then attach it to the ",(0,s.jsx)(n.strong,{children:"Agent"})," component's ",(0,s.jsx)(n.strong,{children:"Tools"})," port.\nFor more information, see ",(0,s.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"}),"."]}),"\n",(0,s.jsx)(n.admonition,{type:"tip",children:(0,s.jsxs)(n.p,{children:["To allow agents to use tools from MCP servers, use the ",(0,s.jsxs)(n.a,{href:"/components-agents#mcp-connection",children:[(0,s.jsx)(n.strong,{children:"MCP Tools"})," component"]}),"."]})}),"\n",(0,s.jsx)(n.h3,{id:"agent-memory",children:"Agent memory"}),"\n",(0,s.jsx)(n.p,{children:"Langflow agents have built-in chat memory that is enabled by default.\nThis memory allows them to retrieve and reference messages from previous conversations, maintaining a rolling context window for each chat session ID."}),"\n",(0,s.jsxs)(n.p,{children:["Chat memories are grouped by ",(0,s.jsxs)(n.a,{href:"/session-id",children:["session ID (",(0,s.jsx)(n.code,{children:"session_id"}),")"]}),".\nIt is recommended to use custom session IDs if you need to segregate chat memory for different users or applications that run the same flow."]}),"\n",(0,s.jsxs)(n.p,{children:["By default, the ",(0,s.jsx)(n.strong,{children:"Agent"})," component uses your Langflow installation's storage, and it retrieves a limited number of chat messages, which you can configure with the ",(0,s.jsx)(n.strong,{children:"Number of Chat History Messages"})," parameter."]}),"\n",(0,s.jsxs)(n.p,{children:["Although the ",(0,s.jsx)(n.strong,{children:"Message History"})," component isn't required for default chat memory, it provides more options for sorting, filtering, and limiting memories, and the ",(0,s.jsx)(n.strong,{children:"Message History"})," component is required to use external chat memory like Mem0."]}),"\n",(0,s.jsxs)(n.p,{children:["For more information, see ",(0,s.jsx)(n.a,{href:"/memory#store-chat-memory",children:"Store chat memory"})," and ",(0,s.jsxs)(n.a,{href:"/components-helpers#message-history",children:[(0,s.jsx)(n.strong,{children:"Message History"})," component"]}),"."]}),"\n",(0,s.jsx)(n.h3,{id:"additional-parameters",children:"Additional parameters"}),"\n",(0,s.jsxs)(n.p,{children:["With the ",(0,s.jsx)(n.strong,{children:"Agent"})," component, the available parameters can change depending on the selected provider and model.\nFor example, some models support additional modes, arguments, or features like chat memory and temperature."]}),"\n",(0,s.jsx)(n.p,{children:"Some additional input parameters include the following:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Current Date"})," (",(0,s.jsx)(n.code,{children:"add_current_date_tool"}),"): When enabled (",(0,s.jsx)(n.code,{children:"true"}),"), this setting adds a tool to the agent that can retrieve the current date."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Handle Parse Errors"})," (",(0,s.jsx)(n.code,{children:"handle_parsing_errors"}),"): When enabled (",(0,s.jsx)(n.code,{children:"true"}),"), this setting allows the agent to fix errors, like typos, when analyzing user input."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Verbose"})," (",(0,s.jsx)(n.code,{children:"verbose"}),"): When enabled (",(0,s.jsx)(n.code,{children:"true"}),"), this setting records detailed logging output for debugging and analysis."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["To view and configure all parameters, click ",(0,s.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Controls"})," in the ",(0,s.jsx)(n.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,s.jsx)(n.h2,{id:"agent-component-output",children:"Agent component output"}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.strong,{children:"Agent"})," component outputs a ",(0,s.jsx)(n.strong,{children:"Response"})," (",(0,s.jsx)(n.code,{children:"response"}),") that is ",(0,s.jsxs)(n.a,{href:"/data-types#message",children:[(0,s.jsx)(n.code,{children:"Message"})," data"]})," containing the agent's raw response to the query."]}),"\n",(0,s.jsxs)(n.p,{children:["Typically, this is passed to a ",(0,s.jsx)(n.strong,{children:"Chat Output"})," component to return the response in a human-readable format.\nIt can also be passed to other components if you need to process the response further before, or in addition to, returning it to the user."]}),"\n",(0,s.jsx)(n.h2,{id:"see-also",children:"See also"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:(0,s.jsxs)(n.a,{href:"/components-agents",children:[(0,s.jsx)(n.strong,{children:"Agent"})," and ",(0,s.jsx)(n.strong,{children:"MCP Tools"})," components"]})}),"\n",(0,s.jsx)(n.li,{children:(0,s.jsx)(n.a,{href:"/agents-tools",children:"Configure tools for agents"})}),"\n"]})]})}function m(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(u,{...e})}):u(e)}function x(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or 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\ No newline at end of file
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@@ -1 +1 @@
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description:"]}),(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Tool Name"}),": ",(0,s.jsx)(o.code,{children:"document_qa_for_resume"})]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.strong,{children:"Tool Description"}),": ",(0,s.jsx)(o.code,{children:"A flow for analyzing Emily's resume."})]}),"\n"]}),"\n"]}),(0,s.jsxs)(o.p,{children:["After connecting your Langflow MCP server to Cursor, you can ask Cursor about the resume, such as ",(0,s.jsx)(o.code,{children:"What job experience does Emily have?"}),".\nUsing the context provided by your tool name and description, the agent can decide to use the ",(0,s.jsx)(o.code,{children:"document_qa_for_resume"})," MCP tool to create a response about Emily's resume.\nIf necessary, the agent asks permission to use the flow tool before generating the response."]}),(0,s.jsxs)(o.p,{children:["If you ask about a different resume, such as 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I don't have access to Alex's resume or job experience information.",props:{}}]}],lang:"text"},annotations:[]}]})]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Close the ",(0,s.jsx)(o.strong,{children:"MCP Server Tools"})," window to save your changes."]}),"\n"]}),"\n"]}),"\n","\n",(0,s.jsx)(o.h2,{id:"connect-clients-to-use-the-servers-actions",children:"Connect clients to Langflow's MCP server"}),"\n",(0,s.jsxs)(o.p,{children:["The following procedure describes how to connect ",(0,s.jsx)(o.a,{href:"https://www.cursor.com/",children:"Cursor"})," to your Langflow project's MCP server to consume your flows as tools.\nHowever, you can connect any ",(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/clients",children:"MCP-compatible client"})," following similar steps."]}),"\n",(0,s.jsxs)(c.A,{children:[(0,s.jsxs)(i.A,{value:"auto",label:"Auto install",default:!0,children:[(0,s.jsx)(o.admonition,{type:"important",children:(0,s.jsxs)(o.p,{children:["Auto installation only works if your HTTP client and Langflow server are on the same local machine.\nIf this is not the case, use the ",(0,s.jsx)(o.strong,{children:"JSON"})," option to configure the MCP server."]})}),(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["Install ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/get-started/installation",children:"Cursor"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:["In the Langflow dashboard, select the project that contains the flows you want to serve, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n",(0,s.jsxs)(o.li,{children:["To auto install your current Langflow project as an MCP server, click ",(0,s.jsx)(a.A,{name:"Plus","aria-hidden":"True"})," ",(0,s.jsx)(o.strong,{children:"Add"}),"."]}),"\n"]}),(0,s.jsxs)(o.p,{children:["The installation adds the server's configuration file to Cursor's ",(0,s.jsx)(o.code,{children:"mcp.json"})," configuration file."]})]}),(0,s.jsx)(i.A,{value:"JSON",label:"JSON",children:(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Install ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/get-started/installation",children:"Cursor"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In Cursor, go to ",(0,s.jsx)(o.strong,{children:"Cursor Settings > MCP"}),", and then click ",(0,s.jsx)(o.strong,{children:"Add New Global MCP Server"}),".\nThis opens Cursor's global MCP configuration file, ",(0,s.jsx)(o.code,{children:"mcp.json"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In the Langflow dashboard, select the project that contains the flows you want to serve, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy the code template from the ",(0,s.jsx)(o.strong,{children:"JSON"})," tab, and then paste it into ",(0,s.jsx)(o.code,{children:"mcp.json"})," in Cursor.\nFor example:"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:f,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the correct ",(0,s.jsx)(o.code,{children:"PROJECT_NAME"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," values.\nThe default Langflow server address is ",(0,s.jsx)(o.code,{children:"http://localhost:7860"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["If you have ",(0,s.jsx)(o.a,{href:"/deployment-public-server",children:"deployed a public Langflow server"}),", the address is automatically included."]}),"\n",(0,s.jsx)(o.admonition,{type:"important",children:(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN=false"})}),"), you must include your Langflow API key in the configuration.\nFor more information, see ",(0,s.jsx)(o.a,{href:"#authentication",children:"MCP server authentication and environment variables"}),"."]})}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Save and close the ",(0,s.jsx)(o.code,{children:"mcp.json"})," file in Cursor.\nThe newly added MCP server will appear in the ",(0,s.jsx)(o.strong,{children:"MCP Servers"})," section."]}),"\n"]}),"\n"]})})]}),"\n",(0,s.jsxs)(o.p,{children:["Cursor is now connected to your project's MCP server and your flows are registered as tools.\nCursor determines when to use tools based on your queries, and requests permissions when necessary.\nFor more information, see the ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/context/model-context-protocol",children:"Cursor's MCP documentation"}),"."]}),"\n",(0,s.jsx)(o.h3,{id:"authentication",children:"MCP server authentication and environment variables"}),"\n",(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN"})})," is set to ",(0,s.jsx)(o.code,{children:"false"}),"), then you must supply a ",(0,s.jsx)(o.a,{href:"/configuration-api-keys",children:"Langflow API key"})," in your MCP client configuration.\nWhen this is the case, the code template in your project's ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the ",(0,s.jsx)(o.code,{children:"--header"})," and ",(0,s.jsx)(o.code,{children:"x-api-key"})," arguments:"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:f,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "--headers"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "x-api-key"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "YOUR_API_KEY"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(a.A,{name:"key","aria-hidden":"true"})," ",(0,s.jsx)(o.strong,{children:"Generate API key"})," to automatically insert a new Langflow API key into the code template.\nAlternatively, you can replace ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"})," with an existing Langflow API key."]}),"\n",(0,s.jsx)(o.p,{children:(0,s.jsx)(o.img,{alt:"MCP server tab showing Generate API key button",src:n(95288).A+"",width:"4000",height:"2188"})}),"\n",(0,s.jsx)(o.p,{children:"To include environment variables with your MCP server command, include them like this:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:f,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "env"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "KEY"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"VALUE"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.code,{children:"KEY"})," and ",(0,s.jsx)(o.code,{children:"VALUE"})," with the environment variable name and value you want to include."]}),"\n","\n",(0,s.jsx)(o.h3,{id:"deploy-your-server-externally",children:"Deploy your MCP server externally"}),"\n",(0,s.jsxs)(o.p,{children:["To deploy your MCP server externally with ngrok, see ",(0,s.jsx)(o.a,{href:"/deployment-public-server",children:"Deploy a public Langflow server"}),"."]}),"\n",(0,s.jsx)(o.h2,{id:"test-and-debug-flows",children:"Use MCP Inspector to test and debug flows"}),"\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/docs/tools/inspector",children:"MCP Inspector"})," is a common tool for testing and debugging MCP servers.\nYou can use MCP Inspector to monitor your flows and get insights into how they are being consumed by the MCP server:"]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"Install MCP Inspector:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:f,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"npx ",props:{style:{color:"#FFA657"}}},{content:"@modelcontextprotocol/inspector",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["For more information about configuring MCP Inspector, including specifying a proxy port, see the ",(0,s.jsx)(o.a,{href:"https://github.com/modelcontextprotocol/inspector",children:"MCP Inspector GitHub project"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Open a web browser and navigate to the MCP Inspector UI.\nThe default address is ",(0,s.jsx)(o.code,{children:"http://localhost:6274"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"In the MCP Inspector UI, enter the connection details for your Langflow project's MCP server:"}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"SSE"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"URL"}),": Enter the Langflow MCP server's ",(0,s.jsx)(o.code,{children:"sse"})," endpoint. For example: ",(0,s.jsx)(o.code,{children:"http://localhost:7860/api/v1/mcp/project/d359cbd4-6fa2-4002-9d53-fa05c645319c/sse"})]}),"\n"]}),"\n",(0,s.jsxs)(o.p,{children:["If you've ",(0,s.jsx)(o.a,{href:"#authentication",children:"configured authentication for your MCP server"}),", fill out the following additional fields:"]}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"STDIO"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Command"}),": ",(0,s.jsx)(o.code,{children:"uvx"})]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Arguments"}),": Enter the following list of arguments, separated by spaces. Replace the values for ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," with the values from your Langflow MCP server. For example:"]}),"\n"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:f,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"mcp-proxy ",props:{style:{color:"#FFA657"}}},{content:"--headers ",props:{style:{color:"#79C0FF"}}},{content:"x-api-key YOUR_API_KEY http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(o.strong,{children:"Connect"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["If the connection was successful, you should see your project's flows in the ",(0,s.jsx)(o.strong,{children:"Tools"})," tab.\nFrom this tab, you can monitor how your flows are being registered as tools by MCP, as well as test the tools with custom input values."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To quit MCP Inspector, press ",(0,s.jsx)("kbd",{children:"Control+C"})," in the same terminal window where you started it."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h2,{id:"troubleshooting-mcp-server",children:"Troubleshooting MCP server"}),"\n",(0,s.jsxs)(o.p,{children:["If Claude for Desktop is not using your server's tools correctly, you may need to explicitly define the path to your local ",(0,s.jsx)(o.code,{children:"uvx"})," or ",(0,s.jsx)(o.code,{children:"npx"})," executable file in the ",(0,s.jsx)(o.code,{children:"claude_desktop_config.json"})," configuration file."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To find your UVX path, run ",(0,s.jsx)(o.code,{children:"which uvx"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["To find your NPX path, run ",(0,s.jsx)(o.code,{children:"which npx"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy the path, and then replace ",(0,s.jsx)(o.code,{children:"PATH_TO_UVX"})," or ",(0,s.jsx)(o.code,{children:"PATH_TO_NPX"})," in your ",(0,s.jsx)(o.code,{children:"claude_desktop_config.json"})," file."]}),"\n",(0,s.jsxs)(c.A,{children:[(0,s.jsx)(i.A,{value:"uvx",label:"uvx",default:!0,children:(0,s.jsx)(u.Code,{codeConfig:f,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"PATH_TO_UVX"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        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",(0,s.jsx)(o.code,{children:"What job experience does Alex have?"}),", the agent can decide that ",(0,s.jsx)(o.code,{children:"document_qa_for_resume"})," isn't relevant to this request, because the tool description specifies that the flow is for Emily's resume.\nIn this case, the agent might use another available tool, or it can inform you that it doesn't have access to information about Alex's.\nFor example:"]}),(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"I notice you're asking about Alex's job experience.",props:{}}]},{tokens:[{content:"Based on the available tools, I can see there is a Document QA for Resume flow that's designed for analyzing resumes.",props:{}}]},{tokens:[{content:"However, the description mentions it's for \"Emily's resume\" not Alex's. 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installation only works if your HTTP client and Langflow server are on the same local machine.\nIn this is not the case, configure the client with the code in the ",(0,s.jsx)(o.strong,{children:"JSON"})," tab."]})}),(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["Install ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/get-started/installation",children:"Cursor"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:["In the Langflow dashboard, select the project that contains the flows you want to serve, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n",(0,s.jsxs)(o.li,{children:["To auto install your current Langflow project as an MCP server, click ",(0,s.jsx)(a.A,{name:"Plus","aria-hidden":"True"})," ",(0,s.jsx)(o.strong,{children:"Add"}),"."]}),"\n"]}),(0,s.jsxs)(o.p,{children:["The installation adds the server's configuration file to Cursor's ",(0,s.jsx)(o.code,{children:"mcp.json"})," configuration file."]})]}),(0,s.jsx)(i.A,{value:"JSON",label:"JSON",children:(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Install ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/get-started/installation",children:"Cursor"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In Cursor, go to ",(0,s.jsx)(o.strong,{children:"Cursor Settings > MCP"}),", and then click ",(0,s.jsx)(o.strong,{children:"Add New Global MCP Server"}),".\nThis opens Cursor's global MCP configuration file, ",(0,s.jsx)(o.code,{children:"mcp.json"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["In the Langflow dashboard, select the project that contains the flows you want to serve, and then click the ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy the code template from the ",(0,s.jsx)(o.strong,{children:"JSON"})," tab, and then paste it into ",(0,s.jsx)(o.code,{children:"mcp.json"})," in Cursor.\nFor example:"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["The ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the correct ",(0,s.jsx)(o.code,{children:"PROJECT_NAME"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," values.\nThe default Langflow server address is ",(0,s.jsx)(o.code,{children:"http://localhost:7860"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["If you have ",(0,s.jsx)(o.a,{href:"/deployment-public-server",children:"deployed a public Langflow server"}),", the address is automatically included."]}),"\n",(0,s.jsx)(o.admonition,{type:"important",children:(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN"})})," is set to ",(0,s.jsx)(o.code,{children:"false"}),"), you must include your Langflow API key in the configuration.\nFor more information, see ",(0,s.jsx)(o.a,{href:"#authentication",children:"MCP server authentication and environment variables"}),"."]})}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Save and close the ",(0,s.jsx)(o.code,{children:"mcp.json"})," file in Cursor.\nThe newly added MCP server will appear in the ",(0,s.jsx)(o.strong,{children:"MCP Servers"})," section."]}),"\n"]}),"\n"]})})]}),"\n",(0,s.jsxs)(o.p,{children:["Cursor is now connected to your project's MCP server and your flows are registered as tools.\nCursor determines when to use tools based on your queries, and requests permissions when necessary.\nFor more information, see the ",(0,s.jsx)(o.a,{href:"https://docs.cursor.com/context/model-context-protocol",children:"Cursor's MCP documentation"}),"."]}),"\n",(0,s.jsx)(o.h3,{id:"authentication",children:"MCP server authentication and environment variables"}),"\n",(0,s.jsxs)(o.p,{children:["If your Langflow server ",(0,s.jsx)(o.a,{href:"/configuration-authentication",children:"requires authentication"})," (",(0,s.jsx)(o.a,{href:"/environment-variables#LANGFLOW_AUTO_LOGIN",children:(0,s.jsx)(o.code,{children:"LANGFLOW_AUTO_LOGIN"})})," is set to ",(0,s.jsx)(o.code,{children:"false"}),"), then you must supply a ",(0,s.jsx)(o.a,{href:"/configuration-api-keys",children:"Langflow API key"})," in your MCP client configuration.\nWhen this is the case, the code template in your project's ",(0,s.jsx)(o.strong,{children:"MCP Server"})," tab automatically includes the ",(0,s.jsx)(o.code,{children:"--header"})," and ",(0,s.jsx)(o.code,{children:"x-api-key"})," arguments:"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "--headers"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "x-api-key"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "YOUR_API_KEY"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(a.A,{name:"key","aria-hidden":"true"})," ",(0,s.jsx)(o.strong,{children:"Generate API key"})," to automatically insert a new Langflow API key into the code template.\nAlternatively, you can replace ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"})," with an existing Langflow API key."]}),"\n",(0,s.jsx)(o.p,{children:(0,s.jsx)(o.img,{alt:"MCP server tab showing Generate API key button",src:n(95288).A+"",width:"4000",height:"2188"})}),"\n",(0,s.jsx)(o.p,{children:"To include environment variables with your MCP server command, include them like this:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"uvx"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "env"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "KEY"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"VALUE"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["Replace ",(0,s.jsx)(o.code,{children:"KEY"})," and ",(0,s.jsx)(o.code,{children:"VALUE"})," with the environment variable name and value you want to include."]}),"\n","\n",(0,s.jsx)(o.h3,{id:"deploy-your-server-externally",children:"Deploy your MCP server externally"}),"\n",(0,s.jsxs)(o.p,{children:["To deploy your MCP server externally with ngrok, see ",(0,s.jsx)(o.a,{href:"/deployment-public-server",children:"Deploy a public Langflow server"}),"."]}),"\n",(0,s.jsx)(o.h2,{id:"test-and-debug-flows",children:"Use MCP Inspector to test and debug flows"}),"\n",(0,s.jsxs)(o.p,{children:[(0,s.jsx)(o.a,{href:"https://modelcontextprotocol.io/docs/tools/inspector",children:"MCP Inspector"})," is a common tool for testing and debugging MCP servers.\nYou can use MCP Inspector to monitor your flows and get insights into how they are being consumed by the MCP server:"]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"Install MCP Inspector:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"npx ",props:{style:{color:"#FFA657"}}},{content:"@modelcontextprotocol/inspector",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,s.jsxs)(o.p,{children:["For more information about configuring MCP Inspector, including specifying a proxy port, see the ",(0,s.jsx)(o.a,{href:"https://github.com/modelcontextprotocol/inspector",children:"MCP Inspector GitHub project"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Open a web browser and navigate to the MCP Inspector UI.\nThe default address is ",(0,s.jsx)(o.code,{children:"http://localhost:6274"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsx)(o.p,{children:"In the MCP Inspector UI, enter the connection details for your Langflow project's MCP server:"}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"SSE"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"URL"}),": Enter the Langflow MCP server's ",(0,s.jsx)(o.code,{children:"sse"})," endpoint. For example: ",(0,s.jsx)(o.code,{children:"http://localhost:7860/api/v1/mcp/project/d359cbd4-6fa2-4002-9d53-fa05c645319c/sse"})]}),"\n"]}),"\n",(0,s.jsxs)(o.p,{children:["If you've ",(0,s.jsx)(o.a,{href:"#authentication",children:"configured authentication for your MCP server"}),", fill out the following additional fields:"]}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Transport Type"}),": Select ",(0,s.jsx)(o.strong,{children:"STDIO"}),"."]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Command"}),": ",(0,s.jsx)(o.code,{children:"uvx"})]}),"\n",(0,s.jsxs)(o.li,{children:[(0,s.jsx)(o.strong,{children:"Arguments"}),": Enter the following list of arguments, separated by spaces. Replace the values for ",(0,s.jsx)(o.code,{children:"YOUR_API_KEY"}),", ",(0,s.jsx)(o.code,{children:"LANGFLOW_SERVER_ADDRESS"}),", and ",(0,s.jsx)(o.code,{children:"PROJECT_ID"})," with the values from your Langflow MCP server. For example:"]}),"\n"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"mcp-proxy ",props:{style:{color:"#FFA657"}}},{content:"--headers ",props:{style:{color:"#79C0FF"}}},{content:"x-api-key YOUR_API_KEY http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Click ",(0,s.jsx)(o.strong,{children:"Connect"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["If the connection was successful, you should see your project's flows in the ",(0,s.jsx)(o.strong,{children:"Tools"})," tab.\nFrom this tab, you can monitor how your flows are being registered as tools by MCP, as well as test the tools with custom input values."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To quit MCP Inspector, press ",(0,s.jsx)("kbd",{children:"Control+C"})," in the same terminal window where you started it."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h2,{id:"troubleshooting-mcp-server",children:"Troubleshooting MCP server"}),"\n",(0,s.jsxs)(o.p,{children:["If Claude for Desktop is not using your server's tools correctly, you may need to explicitly define the path to your local ",(0,s.jsx)(o.code,{children:"uvx"})," or ",(0,s.jsx)(o.code,{children:"npx"})," executable file in the ",(0,s.jsx)(o.code,{children:"claude_desktop_config.json"})," configuration file."]}),"\n",(0,s.jsxs)(o.ol,{children:["\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["To find your UVX path, run ",(0,s.jsx)(o.code,{children:"which uvx"}),"."]}),"\n",(0,s.jsxs)(o.p,{children:["To find your NPX path, run ",(0,s.jsx)(o.code,{children:"which npx"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(o.li,{children:["\n",(0,s.jsxs)(o.p,{children:["Copy the path, and then replace ",(0,s.jsx)(o.code,{children:"PATH_TO_UVX"})," or ",(0,s.jsx)(o.code,{children:"PATH_TO_NPX"})," in your ",(0,s.jsx)(o.code,{children:"claude_desktop_config.json"})," file."]}),"\n",(0,s.jsxs)(c.A,{children:[(0,s.jsx)(i.A,{value:"uvx",label:"uvx",default:!0,children:(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"PATH_TO_UVX"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp-proxy"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})}),(0,s.jsx)(i.A,{value:"npx",label:"npx",children:(0,s.jsx)(u.Code,{codeConfig:x,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "PROJECT_NAME"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"PATH_TO_NPX"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "-y"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "supergateway"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "--sse"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "http://LANGFLOW_SERVER_ADDRESS/api/v1/mcp/project/PROJECT_ID/sse"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ]",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})})]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(o.h2,{id:"see-also",children:"See also"}),"\n",(0,s.jsxs)(o.ul,{children:["\n",(0,s.jsx)(o.li,{children:(0,s.jsx)(o.a,{href:"/mcp-client",children:"Use Langflow as an MCP client"})}),"\n",(0,s.jsx)(o.li,{children:(0,s.jsx)(o.a,{href:"/mcp-component-astra",children:"Use a DataStax Astra DB MCP server"})}),"\n"]})]})}function g(e={}){const{wrapper:o}={...(0,r.R)(),...e.components};return o?(0,s.jsx)(o,{...e,children:(0,s.jsx)(j,{...e})}):j(e)}function y(e,o){throw new Error("Expected "+(o?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},95288:(e,o,n)=>{n.d(o,{A:()=>t});const t=n.p+"assets/images/mcp-server-api-key-5a39d0de10227381df269c4595d4d896.png"}}]);
\ No newline at end of file
diff --git a/assets/js/e6c6a4d2.78ba020b.js b/assets/js/e6c6a4d2.152f282c.js
similarity index 99%
rename from assets/js/e6c6a4d2.78ba020b.js
rename to assets/js/e6c6a4d2.152f282c.js
index 92118b399d..1cc082a238 100644
--- a/assets/js/e6c6a4d2.78ba020b.js
+++ b/assets/js/e6c6a4d2.152f282c.js
@@ -1 +1 @@
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",(0,t.jsx)(n.strong,{children:"Tip"}),": Freeze the path of the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component to only submit the file once."]}),"\n",(0,t.jsx)(n.li,{children:"Input the AssemblyAI API key in in all components that require the key (Start Transcript, Poll Transcript, Get Subtitles, LeMUR, List Transcripts)."}),"\n",(0,t.jsxs)(n.li,{children:["Select an audio or video file in the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Run the flow by clicking ",(0,t.jsx)(r.A,{name:"Play","aria-hidden":"True"})," ",(0,t.jsx)(n.strong,{children:"Run component"})," on the ",(0,t.jsx)(n.em,{children:"Parse Data"})," component. Make sure that the specified template is ",(0,t.jsx)(n.code,{children:"{text}"}),"."]}),"\n",(0,t.jsxs)(n.li,{children:["To generate subtitles, click ",(0,t.jsx)(r.A,{name:"Play","aria-hidden":"True"})," ",(0,t.jsx)(n.strong,{children:"Run component"})," on the ",(0,t.jsx)(n.em,{children:"List Transcript"})," component."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,t.jsx)(n.p,{children:"The flow can be customized by:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:["Modifying the parameters in the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the subtitle format in the ",(0,t.jsx)(n.em,{children:"Get Subtitles"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the LLM prompt for input of the ",(0,t.jsx)(n.em,{children:"LeMUR"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the LLM parameters (e.g., temperature) in the ",(0,t.jsx)(n.em,{children:"LeMUR"})," component."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,t.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"Ensure the API key is correctly set in all components that require the key."}),"\n",(0,t.jsx)(n.li,{children:"To use LeMUR, you need to upgrade your AssemblyAI account, since this is not included in the free account."}),"\n",(0,t.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,t.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:["For more advanced usage, refer to the ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/",children:"AssemblyAI API documentation"}),". 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\ No newline at end of file
diff --git a/assets/js/e82d58ff.dd8be0c0.js b/assets/js/e82d58ff.dd8be0c0.js
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--- a/assets/js/e82d58ff.dd8be0c0.js
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Can be set manually if automatic language detection is disabled.\nSee ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/getting-started/supported-languages",children:"supported languages"})," for a list of supported language codes."]}),"\n",(0,t.jsx)(n.li,{children:"Enable Speaker Labels (Optional): Detect speakers in an audio file and what each speaker said."}),"\n",(0,t.jsx)(n.li,{children:"Expected Number of Speakers (Optional): Set the expected number of speakers, if Speaker Labels is enabled."}),"\n",(0,t.jsxs)(n.li,{children:["Audio File URL (Optional): The URL of the audio or video file to transcribe. Can be used instead of ",(0,t.jsx)(n.em,{children:"Audio File"}),"."]}),"\n",(0,t.jsx)(n.li,{children:"Punctuate (Optional): Apply punctuation. Default is true."}),"\n",(0,t.jsx)(n.li,{children:"Format Text (Optional): Apply casing and text formatting. 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Default is 3."}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Output"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Transcription Result: The AssemblyAI JSON response of a completed transcript. Contains the text and other info."}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"assemblyai-get-subtitles",children:"AssemblyAI Get Subtitles"}),"\n",(0,t.jsx)(n.p,{children:"This component allows you to generate subtitles in SRT or VTT format."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Input"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"AssemblyAI API Key: Your API key."}),"\n",(0,t.jsxs)(n.li,{children:["Transcription Result: The output of the ",(0,t.jsx)(n.em,{children:"Poll Transcript"})," component."]}),"\n",(0,t.jsx)(n.li,{children:"Subtitle Format: The format of the captions (SRT or VTT)."}),"\n",(0,t.jsx)(n.li,{children:"Character per Caption (Optional): The maximum number of characters per caption (0 for no limit)."}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Output"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["Subtitles: A JSON response with the ",(0,t.jsx)(n.code,{children:"subtitles"})," field containing the captions in SRT or VTT format."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"assemblyai-lemur",children:"AssemblyAI LeMUR"}),"\n",(0,t.jsxs)(n.p,{children:["This component allows you to apply Large Language Models to spoken data using the ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/lemur",children:"AssemblyAI LeMUR framework"}),"."]}),"\n",(0,t.jsx)(n.p,{children:"LeMUR automatically ingests the transcript as additional context, making it easy to apply LLMs to audio data. You can use it for tasks like summarizing audio, extracting insights, or asking questions."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Input"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"AssemblyAI API Key: Your API key."}),"\n",(0,t.jsxs)(n.li,{children:["Transcription Result: The output of the ",(0,t.jsx)(n.em,{children:"Poll Transcript"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Input Prompt: The text to prompt the model. You can type your prompt in this field or connect it to a ",(0,t.jsx)(n.em,{children:"Prompt"})," component."]}),"\n",(0,t.jsx)(n.li,{children:"Final Model: The model that is used for the final prompt after compression is performed. Default is Claude 3.5 Sonnet."}),"\n",(0,t.jsx)(n.li,{children:"Temperature (Optional): The temperature to use for the model. Default is 0.0."}),"\n",(0,t.jsx)(n.li,{children:"Max Output Size (Optional): Max output size in tokens, up to 4000. Default is 2000."}),"\n",(0,t.jsxs)(n.li,{children:['Endpoint (Optional): The LeMUR endpoint to use. Default is "task". For "summary" and "question-answer", no prompt input is needed. See ',(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/api-reference/lemur/",children:"LeMUR API docs"})," for more info."]}),"\n",(0,t.jsxs)(n.li,{children:["Questions (Optional): Comma-separated list of your questions. Only used if ",(0,t.jsx)(n.em,{children:"Endpoint"}),' is "question-answer".']}),"\n",(0,t.jsxs)(n.li,{children:["Transcript IDs (Optional): Comma-separated list of transcript IDs. LeMUR can perform actions over multiple transcripts. If provided, the ",(0,t.jsx)(n.em,{children:"Transcription Result"})," is ignored."]}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Output"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"LeMUR Response: The generated LLM response."}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"assemblyai-list-transcripts",children:"AssemblyAI List Transcripts"}),"\n",(0,t.jsx)(n.p,{children:"This component can be used as a standalone component to list all previously generated transcripts."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Input"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"AssemblyAI API Key: Your API key."}),"\n",(0,t.jsx)(n.li,{children:"Limit (Optional): Maximum number of transcripts to retrieve. Default is 20, use 0 for all."}),"\n",(0,t.jsx)(n.li,{children:"Filter (Optional): Filter by transcript status."}),"\n",(0,t.jsx)(n.li,{children:"Created On (Optional): Only get transcripts created on this date (YYYY-MM-DD)."}),"\n",(0,t.jsx)(n.li,{children:"Throttled Only (Optional): Only get throttled transcripts, overrides the status filter"}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Output"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Transcript List: A list of all transcripts with info such as the transcript ID, the status, and the data."}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"flow-process",children:"Flow Process"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"The user inputs an audio or video file."}),"\n",(0,t.jsx)(n.li,{children:"The user can also input an LLM prompt. In this example, we want to generate a summary of the transcript."}),"\n",(0,t.jsx)(n.li,{children:"The flow submits the audio file for transcription."}),"\n",(0,t.jsx)(n.li,{children:"The flow checks the status of the transcript every few seconds until transcription is completed."}),"\n",(0,t.jsx)(n.li,{children:"The flow parses the transcription result and outputs the transcribed text."}),"\n",(0,t.jsx)(n.li,{children:"The flow also generates subtitles."}),"\n",(0,t.jsx)(n.li,{children:"The flow applies the LLM prompt to generate a summary."}),"\n",(0,t.jsx)(n.li,{children:"As a standalone component, all transcripts can be listed."}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"run-the-transcription-and-speech-ai-flow",children:"Run the Transcription and Speech AI Flow"}),"\n",(0,t.jsx)(n.p,{children:"To run the Transcription and Speech AI Flow:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"Open Langflow and create a new project."}),"\n",(0,t.jsxs)(n.li,{children:["Add the components listed above to your flow canvas, or download the ",(0,t.jsx)(n.a,{target:"_blank","data-noBrokenLinkCheck":!0,href:s(28618).A+"",children:"AssemblyAI Transcription and Speech AI Flow"}),"(Download link) and ",(0,t.jsx)(n.strong,{children:"Import"})," the JSON file into Langflow."]}),"\n",(0,t.jsxs)(n.li,{children:["Connect the components as shown in the flow diagram. ",(0,t.jsx)(n.strong,{children:"Tip"}),": Freeze the path of the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component to only submit the file once."]}),"\n",(0,t.jsx)(n.li,{children:"Input the AssemblyAI API key in in all components that require the key (Start Transcript, Poll Transcript, Get Subtitles, LeMUR, List Transcripts)."}),"\n",(0,t.jsxs)(n.li,{children:["Select an audio or video file in the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Run the flow by clicking ",(0,t.jsx)(r.A,{name:"Play","aria-hidden":"True"})," ",(0,t.jsx)(n.strong,{children:"Run component"})," on the ",(0,t.jsx)(n.em,{children:"Parse Data"})," component. Make sure that the specified template is ",(0,t.jsx)(n.code,{children:"{text}"}),"."]}),"\n",(0,t.jsxs)(n.li,{children:["To generate subtitles, click ",(0,t.jsx)(r.A,{name:"Play","aria-hidden":"True"})," ",(0,t.jsx)(n.strong,{children:"Run component"})," on the ",(0,t.jsx)(n.em,{children:"List Transcript"})," component."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,t.jsx)(n.p,{children:"The flow can be customized by:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:["Modifying the parameters in the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the subtitle format in the ",(0,t.jsx)(n.em,{children:"Get Subtitles"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the LLM prompt for input of the ",(0,t.jsx)(n.em,{children:"LeMUR"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the LLM parameters (e.g., temperature) in the ",(0,t.jsx)(n.em,{children:"LeMUR"})," component."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,t.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"Ensure the API key is correctly set in all components that require the key."}),"\n",(0,t.jsx)(n.li,{children:"To use LeMUR, you need to upgrade your AssemblyAI account, since this is not included in the free account."}),"\n",(0,t.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,t.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:["For more advanced usage, refer to the ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/",children:"AssemblyAI API documentation"}),". If you need more help, you can reach out to the ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/contact/support",children:"AssemblyAI support"}),"."]})]})}function p(e={}){const{wrapper:n}={...(0,l.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(d,{...e})}):d(e)}}}]);
\ No newline at end of file
diff --git a/assets/js/ef9aa223.22708e30.js b/assets/js/ef9aa223.22708e30.js
deleted file mode 100644
index 24f4531119..0000000000
--- a/assets/js/ef9aa223.22708e30.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[6224],{7089:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>d,default:()=>m,frontMatter:()=>o,metadata:()=>s,toc:()=>l});const s=JSON.parse('{"id":"Components/bundles-datastax","title":"DataStax","description":"Bundles contain custom components that support specific third-party integrations with Langflow.","source":"@site/docs/Components/bundles-datastax.mdx","sourceDirName":"Components","slug":"/bundles-datastax","permalink":"/bundles-datastax","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"DataStax","slug":"/bundles-datastax"},"sidebar":"docs","previous":{"title":"Composio","permalink":"/integrations-composio"},"next":{"title":"DeepSeek","permalink":"/bundles-deepseek"}}');var n=r(74848),a=r(28453),i=r(17886);const o={title:"DataStax",slug:"/bundles-datastax"},d=void 0,c={},l=[{value:"Astra DB Chat Memory",id:"astra-db-chat-memory",level:2},{value:"Astra DB Chat Memory parameters",id:"astra-db-chat-memory-parameters",level:3},{value:"Astra DB CQL",id:"astra-db-cql",level:2},{value:"Astra DB CQL parameters",id:"astra-db-cql-parameters",level:3},{value:"Astra DB Tool",id:"astra-db-tool",level:2},{value:"Astra DB Tool parameters",id:"astra-db-tool-parameters",level:3},{value:"Define tool-specific parameters",id:"define-tool-specific-parameters",level:3},{value:"Cassandra Chat Memory",id:"cassandra-chat-memory",level:2},{value:"Cassandra Chat Memory parameters",id:"cassandra-chat-memory-parameters",level:3},{value:"DataStax assistant components",id:"datastax-assistant-components",level:2},{value:"DataStax environment variable components",id:"datastax-environment-variable-components",level:2},{value:"Legacy DataStax components",id:"legacy-datastax-components",level:2}];function h(e){const t={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,a.R)(),...e.components},{Details:s}=t;return s||function(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Details",!0),(0,n.jsxs)(n.Fragment,{children:[(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.a,{href:"/components-bundle-components",children:"Bundles"})," contain custom components that support specific third-party integrations with Langflow."]}),"\n",(0,n.jsxs)(t.p,{children:["This page describes the components that are available in the ",(0,n.jsx)(t.strong,{children:"DataStax"})," bundle."]}),"\n",(0,n.jsx)(t.h2,{id:"astra-db-chat-memory",children:"Astra DB Chat Memory"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Chat Memory"})," component retrieves and stores chat messages using an Astra DB database."]}),"\n",(0,n.jsxs)(t.p,{children:["Chat memories are passed between memory storage components as the ",(0,n.jsx)(t.a,{href:"/data-types#memory",children:(0,n.jsx)(t.code,{children:"Memory"})})," data type.\nSpecifically, the component creates an instance of ",(0,n.jsx)(t.code,{children:"AstraDBChatMessageHistory"}),", which is a LangChain chat message history class that uses Astra DB for storage."]}),"\n",(0,n.jsxs)(t.admonition,{type:"important",children:[(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Chat Memory"})," component isn't recommended for most memory storage because memories tend to be long JSON objects or strings, often exceeding the maximum size of a document or object supported by Astra DB."]}),(0,n.jsxs)(t.p,{children:["However, Langflow's ",(0,n.jsx)(t.strong,{children:"Agent"})," and ",(0,n.jsx)(t.strong,{children:"Language Model"})," components include built-in chat memory that is enabled by default.\nYour flows don't need an external database to store chat memory."]})]}),"\n",(0,n.jsxs)(t.p,{children:["For more information about using external chat memory in flows, see the ",(0,n.jsxs)(t.a,{href:"/components-helpers#message-history",children:[(0,n.jsx)(t.strong,{children:"Message History"})," component"]}),"."]}),"\n",(0,n.jsx)(t.h3,{id:"astra-db-chat-memory-parameters",children:"Astra DB Chat Memory parameters"}),"\n",(0,n.jsxs)(t.p,{children:["Some component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,n.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Controls"})," in the ",(0,n.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"collection_name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the Astra DB collection for storing messages. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The authentication token for Astra DB access. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"api_endpoint"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The API endpoint URL for the Astra DB service. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"namespace"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The optional namespace within Astra DB for the collection."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"session_id"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The unique identifier for the chat session. 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Limited by the ",(0,n.jsx)(t.code,{children:"number_of_results"})," parameter."]}),"\n",(0,n.jsx)(t.h3,{id:"astra-db-cql-parameters",children:"Astra DB CQL parameters"}),"\n",(0,n.jsxs)(t.p,{children:["Some component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,n.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Controls"})," in the ",(0,n.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name used to reference the tool in the agent's prompt."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Description"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. A brief description of the tool to guide the model in using it."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Keyspace"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the keyspace."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Table Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the Astra DB CQL table to query."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The authentication token for Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"API Endpoint"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The Astra DB API endpoint."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Projection Fields"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:'Input parameter. The attributes to return, separated by commas. Default: "*".'})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Partition Keys"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Input parameter. Required parameters that the model must fill to query the tool."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Clustering Keys"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Input parameter. Optional parameters the model can fill to refine the query. Required parameters should be marked with an exclamation mark, for example, ",(0,n.jsx)(t.code,{children:"!customer_id"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Static Filters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Input parameter. Attribute-value pairs used to filter query results."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Limit"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The number of records to return."})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"astra-db-tool",children:"Astra DB Tool"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component enables searching data in Astra DB collections, including hybrid search, vector search, and regular filter-based search.\nSpecialized searches require that the collection is pre-configured with the required parameters."]}),"\n",(0,n.jsxs)(t.p,{children:["Outputs a list of ",(0,n.jsx)(t.a,{href:"/data-types#data",children:(0,n.jsx)(t.code,{children:"Data"})})," objects containing the query results from Astra DB. Each ",(0,n.jsx)(t.code,{children:"Data"})," object contains the document fields specified by the projection attributes. Limited by the ",(0,n.jsx)(t.code,{children:"number_of_results"})," parameter and the upper limit of the Astra DB Data API, depending on the type of search."]}),"\n",(0,n.jsxs)(t.p,{children:["You can use the component to execute queries directly as isolated steps in a flow, or you can connect it as a ",(0,n.jsx)(t.a,{href:"/agents-tools",children:"tool for an agent"})," to allow the agent to query data from Astra DB collections as needed to respond to user queries.\nFor more information, see ",(0,n.jsx)(t.a,{href:"/agents",children:"Use Langflow agents"}),"."]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{alt:"Astra DB Tool component connected as a tool to an Agent component",src:r(68335).A+"",width:"4000",height:"2742"})}),"\n",(0,n.jsx)(t.h3,{id:"astra-db-tool-parameters",children:"Astra DB Tool parameters"}),"\n",(0,n.jsxs)(t.p,{children:["The following parameters are for the ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component overall."]}),"\n",(0,n.jsxs)(t.p,{children:["The values for ",(0,n.jsx)(t.strong,{children:"Collection Name"}),", ",(0,n.jsx)(t.strong,{children:"Astra DB Application Token"}),", and ",(0,n.jsx)(t.strong,{children:"Astra DB API Endpoint"})," are found in your Astra DB deployment. For more information, see the ",(0,n.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name used to reference the tool in the agent's prompt."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Description"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. A brief description of the tool. This helps the model decide when to use it."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Keyspace Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["Input parameter. The name of the keyspace in Astra DB. Default: ",(0,n.jsx)(t.code,{children:"default_keyspace"})]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Collection Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the Astra DB collection to query."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The authentication token for accessing Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"API Endpoint"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The Astra DB API endpoint."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Projection Fields"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["Input parameter. Comma-separated list of attributes to return from matching documents. The default is the default projection, ",(0,n.jsx)(t.code,{children:"*"}),", which returns all attributes except reserved fields like ",(0,n.jsx)(t.code,{children:"$vector"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Parameters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Input parameter. ",(0,n.jsxs)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/document-methods/find-many.html#parameters",children:["Astra DB Data API ",(0,n.jsx)(t.code,{children:"find"})," filters"]})," that become tools for an agent. These Filters ",(0,n.jsx)(t.em,{children:"may"})," be used in a search, if the agent selects them. See ",(0,n.jsx)(t.a,{href:"#define-tool-specific-parameters",children:"Define tool-specific parameters"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Static Filters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Input parameter. Attribute-value pairs used to filter query results. Equivalent to ",(0,n.jsxs)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/document-methods/find-many.html#parameters",children:["Astra DB Data API ",(0,n.jsx)(t.code,{children:"find"})," filters"]}),". ",(0,n.jsx)(t.strong,{children:"Static Filters"})," are included with ",(0,n.jsx)(t.em,{children:"every"})," query. Use ",(0,n.jsx)(t.strong,{children:"Static Filters"})," without semantic search to perform a regular filter search."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Number of Results"}),(0,n.jsx)(t.td,{children:"Int"}),(0,n.jsx)(t.td,{children:"Input parameter. The maximum number of documents to return."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Semantic Search"}),(0,n.jsx)(t.td,{children:"Boolean"}),(0,n.jsxs)(t.td,{children:["Input parameter. Whether to run a similarity search by generating a vector embedding from the chat input and following the ",(0,n.jsx)(t.strong,{children:"Semantic Search Instruction"}),". Default: ",(0,n.jsx)(t.code,{children:"False"}),". If ",(0,n.jsx)(t.code,{children:"True"}),", you must attach an ",(0,n.jsxs)(t.a,{href:"/components-embedding-models",children:[(0,n.jsx)(t.strong,{children:"Embedding Model"})," component"]})," or have vectorize pre-enabled on your collection."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Use Astra DB Vectorize"}),(0,n.jsx)(t.td,{children:"Boolean"}),(0,n.jsxs)(t.td,{children:["Input parameter. Whether to use the Astra DB vectorize feature for embedding generation when running a semantic search. Default: ",(0,n.jsx)(t.code,{children:"False"}),". If ",(0,n.jsx)(t.code,{children:"True"}),", you must have vectorize pre-enabled on your collection."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Embedding Model"}),(0,n.jsx)(t.td,{children:"Embedding"}),(0,n.jsxs)(t.td,{children:["Input parameter. A port to attach an ",(0,n.jsx)(t.strong,{children:"Embedding Model"})," component to generate a vector from input text for semantic search. This can be used when ",(0,n.jsx)(t.strong,{children:"Semantic Search"})," is ",(0,n.jsx)(t.code,{children:"True"})," with or without vectorize. Be sure to use a model that aligns with the dimensions of the embeddings already present in the collection."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Semantic Search Instruction"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["Input parameter. The query to use for similarity search. Default: ",(0,n.jsx)(t.code,{children:'"Find documents similar to the query."'}),". This instruction is used to guide the model in performing semantic search."]})]})]})]}),"\n",(0,n.jsx)(t.h3,{id:"define-tool-specific-parameters",children:"Define tool-specific parameters"}),"\n",(0,n.jsxs)(t.admonition,{type:"tip",children:[(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.strong,{children:"Tool Parameters"})," are small functions that you create within the ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component.\nThey give the LLM pre-defined ways to interact with the data in your collection."]}),(0,n.jsx)(t.p,{children:"Without these filters, the LLM has no concept of the data in your collection or which attributes are important."}),(0,n.jsx)(t.p,{children:"At runtime, the LLM can decide which filters are relevant to the current query."}),(0,n.jsxs)(t.p,{children:["Filters in ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," aren't always applied.\nIf you want to enforce filters for ",(0,n.jsx)(t.em,{children:"every"})," query, use the ",(0,n.jsx)(t.strong,{children:"Static Filters"})," parameter.\nYou can use both ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," and ",(0,n.jsx)(t.strong,{children:"Static Filters"})," to set some required filters and some optional filters."]})]}),"\n",(0,n.jsxs)(t.p,{children:["In the ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component's ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," field, you can create filters to query documents in your collection."]}),"\n",(0,n.jsxs)(t.p,{children:["When used in ",(0,n.jsx)(t.strong,{children:"Tool Mode"})," with an agent, these filters tell the agent which document attributes are most important, which are required in searches, and which operators to use on certain attributes.\nThe filters become available as parameters that the LLM can use when calling the tool, with a better understanding of each parameter provided by the ",(0,n.jsx)(t.strong,{children:"Description"})," field."]}),"\n",(0,n.jsxs)(t.p,{children:["In the ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," pane, click ",(0,n.jsx)(i.A,{name:"Plus","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Add a new row"}),", and then edit each cell in the row.\nFor example, the following filter allows an LLM to filter by unique ",(0,n.jsx)(t.code,{children:"customer_id"})," values:"]}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:["Name: ",(0,n.jsx)(t.code,{children:"customer_id"})]}),"\n",(0,n.jsx)(t.li,{children:"Attribute Name: Leave empty if the attribute matches the field name in the database."}),"\n",(0,n.jsxs)(t.li,{children:["Description: ",(0,n.jsx)(t.code,{children:'"The unique identifier of the customer to filter by"'}),"."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Metadata: ",(0,n.jsx)(t.code,{children:"False"})," unless the value stored in the metadata field."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Mandatory: ",(0,n.jsx)(t.code,{children:"True"})," to require this filter."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Timestamp: For this example, select ",(0,n.jsx)(t.code,{children:"False"})," because the value is an ID, not a timestamp."]}),"\n",(0,n.jsxs)(t.li,{children:["Operator: ",(0,n.jsx)(t.code,{children:"$eq"})," to look for an exact match."]}),"\n"]}),"\n",(0,n.jsxs)(t.p,{children:["The following fields are available for each row in the ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," pane:"]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Parameter"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Name"}),(0,n.jsx)(t.td,{children:"The name of the parameter that is exposed to the LLM. It can be the same as the underlying field name or a more descriptive label. The LLM uses this name, along with the description, to infer what value to provide during execution."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Attribute Name"}),(0,n.jsxs)(t.td,{children:["When the parameter name shown to the LLM differs from the actual field or property in the database, use this setting to map the user-facing name to the correct attribute. For example, to apply a range filter to the timestamp field, define two separate parameters, such as ",(0,n.jsx)(t.code,{children:"start_date"})," and ",(0,n.jsx)(t.code,{children:"end_date"}),", that both reference the same timestamp attribute."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Description"}),(0,n.jsxs)(t.td,{children:["Provides instructions to the LLM on how the parameter should be used. Clear and specific guidance helps the LLM provide valid input. For example, if a field such as ",(0,n.jsx)(t.code,{children:"specialty"})," is stored in lowercase, the description should indicate that the input must be lowercase."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Is Metadata"}),(0,n.jsxs)(t.td,{children:["When loading data using LangChain or Langflow, additional attributes may be stored under a metadata object. If the target attribute is stored this way, enable this option. It adjusts the query by generating a filter in the format: ",(0,n.jsx)(t.code,{children:'{"metadata.<attribute_name>": "<value>"}'})]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Is Timestamp"}),(0,n.jsx)(t.td,{children:"For date or time-based filters, enable this option to automatically convert values to the timestamp format that the Astrapy client expects. This ensures compatibility with the underlying API without requiring manual formatting."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Operator"}),(0,n.jsxs)(t.td,{children:["Defines the filtering logic applied to the attribute. You can use any valid ",(0,n.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/filter-operator-collections.html",children:"Data API filter operator"}),". For example, to filter a time range on the timestamp attribute, use two parameters: one with the ",(0,n.jsx)(t.code,{children:"$gt"}),' operator for "greater than", and another with the ',(0,n.jsx)(t.code,{children:"$lt"}),' operator for "less than".']})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"cassandra-chat-memory",children:"Cassandra Chat Memory"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Cassandra Chat Memory"})," component retrieves and stores chat messages using an Apache Cassandra-based database, including Astra DB and Hyper-Converged Database (HCD)."]}),"\n",(0,n.jsxs)(t.p,{children:["Chat memories are passed between memory storage components as the ",(0,n.jsx)(t.a,{href:"/data-types#memory",children:(0,n.jsx)(t.code,{children:"Memory"})})," data type.\nSpecifically, the component creates an instance of ",(0,n.jsx)(t.code,{children:"CassandraChatMessageHistory"}),", which is a LangChain chat message history class that uses a Cassandra database for storage."]}),"\n",(0,n.jsxs)(t.p,{children:["For more information about using external chat memory in flows, see the ",(0,n.jsxs)(t.a,{href:"/components-helpers#message-history",children:[(0,n.jsx)(t.strong,{children:"Message History"})," component"]}),"."]}),"\n",(0,n.jsx)(t.h3,{id:"cassandra-chat-memory-parameters",children:"Cassandra Chat Memory parameters"}),"\n",(0,n.jsxs)(t.p,{children:["Some component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,n.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Controls"})," in the ",(0,n.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"database_ref"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The contact points for the Cassandra database or Astra DB database ID. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"username"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The username for Cassandra. Leave empty for Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The password for Cassandra or the token for Astra DB. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"keyspace"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The keyspace in Cassandra or namespace in Astra DB. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"table_name"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the table or collection for storing messages. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"session_id"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The unique identifier for the chat session. Optional."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"cluster_kwargs"}),(0,n.jsx)(t.td,{children:"Dictionary"}),(0,n.jsx)(t.td,{children:"Input parameter. Additional keyword arguments for the Cassandra cluster configuration. Optional."})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"datastax-assistant-components",children:"DataStax assistant components"}),"\n",(0,n.jsx)(t.p,{children:"The following DataStax components are used to create and manage Assistants API functions in a flow:"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Astra Assistant Agent"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Create Assistant"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Create Assistant Thread"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Get Assistant Name"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"List Assistants"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Run Assistant"})}),"\n"]}),"\n",(0,n.jsx)(t.h2,{id:"datastax-environment-variable-components",children:"DataStax environment variable components"}),"\n",(0,n.jsx)(t.p,{children:"The following DataStax components are used to load and retrieve environment variables in a flow:"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Dotenv"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Get Environment Variable"})}),"\n"]}),"\n",(0,n.jsx)(t.h2,{id:"legacy-datastax-components",children:"Legacy DataStax components"}),"\n",(0,n.jsx)(t.p,{children:"The following components are considered legacy or deprecated.\nThese components are no longer being developed and can be removed in future releases."}),"\n",(0,n.jsx)(t.p,{children:"Replace them with the suggested alternatives as soon as possible."}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Astra DB Vectorize"}),(0,n.jsxs)(t.p,{children:["This component was deprecated in Langflow version 1.1.2.\nReplace it with the ",(0,n.jsxs)(t.a,{href:"/components-vector-stores#astra-db",children:[(0,n.jsx)(t.strong,{children:"Astra DB"})," vector store component"]})," as soon as possible."]}),(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Vectorize"})," component was used to generate embeddings with Astra DB's vectorize feature in conjunction with an ",(0,n.jsx)(t.strong,{children:"Astra DB"})," vector store component."]}),(0,n.jsxs)(t.p,{children:["The vectorize functionality is now built into the ",(0,n.jsx)(t.strong,{children:"Astra DB"})," vector store component.\nYou no longer need a separate component for vectorize embedding generation."]})]})]})}function m(e={}){const{wrapper:t}={...(0,a.R)(),...e.components};return t?(0,n.jsx)(t,{...e,children:(0,n.jsx)(h,{...e})}):h(e)}},17886:(e,t,r)=>{r.d(t,{A:()=>a});r(96540);var s=r(64058),n=r(74848);function a({name:e,...t}){const r=s[e];return r?(0,n.jsx)(r,{...t}):null}},68335:(e,t,r)=>{r.d(t,{A:()=>s});const s=r.p+"assets/images/component-astra-db-json-tool-117aff566c0df01a555264bb128b3693.png"}}]);
\ No newline at end of file
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[6224],{7089:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>c,contentTitle:()=>d,default:()=>m,frontMatter:()=>o,metadata:()=>s,toc:()=>l});const s=JSON.parse('{"id":"Components/bundles-datastax","title":"DataStax","description":"Bundles contain custom components that support specific third-party integrations with Langflow.","source":"@site/docs/Components/bundles-datastax.mdx","sourceDirName":"Components","slug":"/bundles-datastax","permalink":"/bundles-datastax","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"DataStax","slug":"/bundles-datastax"},"sidebar":"docs","previous":{"title":"Composio","permalink":"/integrations-composio"},"next":{"title":"DeepSeek","permalink":"/bundles-deepseek"}}');var n=r(74848),a=r(28453),i=r(17886);const o={title:"DataStax",slug:"/bundles-datastax"},d=void 0,c={},l=[{value:"Astra DB Chat Memory",id:"astra-db-chat-memory",level:2},{value:"Astra DB Chat Memory parameters",id:"astra-db-chat-memory-parameters",level:3},{value:"Astra DB CQL",id:"astra-db-cql",level:2},{value:"Astra DB CQL parameters",id:"astra-db-cql-parameters",level:3},{value:"Astra DB Tool",id:"astra-db-tool",level:2},{value:"Astra DB Tool parameters",id:"astra-db-tool-parameters",level:3},{value:"Define tool-specific parameters",id:"define-tool-specific-parameters",level:3},{value:"Cassandra Chat Memory",id:"cassandra-chat-memory",level:2},{value:"Cassandra Chat Memory parameters",id:"cassandra-chat-memory-parameters",level:3},{value:"DataStax assistant components",id:"datastax-assistant-components",level:2},{value:"DataStax environment variable components",id:"datastax-environment-variable-components",level:2},{value:"Legacy DataStax components",id:"legacy-datastax-components",level:2}];function h(e){const t={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,a.R)(),...e.components},{Details:s}=t;return s||function(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Details",!0),(0,n.jsxs)(n.Fragment,{children:[(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.a,{href:"/components-bundle-components",children:"Bundles"})," contain custom components that support specific third-party integrations with Langflow."]}),"\n",(0,n.jsxs)(t.p,{children:["This page describes the components that are available in the ",(0,n.jsx)(t.strong,{children:"DataStax"})," bundle."]}),"\n",(0,n.jsx)(t.h2,{id:"astra-db-chat-memory",children:"Astra DB Chat Memory"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Chat Memory"})," component retrieves and stores chat messages using an Astra DB database."]}),"\n",(0,n.jsxs)(t.p,{children:["Chat memories are passed between memory storage components as the ",(0,n.jsx)(t.a,{href:"/data-types#memory",children:(0,n.jsx)(t.code,{children:"Memory"})})," data type.\nSpecifically, the component creates an instance of ",(0,n.jsx)(t.code,{children:"AstraDBChatMessageHistory"}),", which is a LangChain chat message history class that uses Astra DB for storage."]}),"\n",(0,n.jsxs)(t.admonition,{type:"important",children:[(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Chat Memory"})," component isn't recommended for most memory storage because memories tend to be long JSON objects or strings, often exceeding the maximum size of a document or object supported by Astra DB."]}),(0,n.jsxs)(t.p,{children:["However, Langflow's ",(0,n.jsx)(t.strong,{children:"Agent"})," and ",(0,n.jsx)(t.strong,{children:"Language Model"})," components include built-in chat memory that is enabled by default.\nYour flows don't need an external database to store chat memory.\nFor more information, see ",(0,n.jsx)(t.a,{href:"/memory",children:"Memory management options"}),"."]})]}),"\n",(0,n.jsxs)(t.p,{children:["For more information about using external chat memory in flows, see the ",(0,n.jsxs)(t.a,{href:"/components-helpers#message-history",children:[(0,n.jsx)(t.strong,{children:"Message History"})," component"]}),"."]}),"\n",(0,n.jsx)(t.h3,{id:"astra-db-chat-memory-parameters",children:"Astra DB Chat Memory parameters"}),"\n",(0,n.jsxs)(t.p,{children:["Some component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,n.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Controls"})," in the ",(0,n.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"collection_name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the Astra DB collection for storing messages. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The authentication token for Astra DB access. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"api_endpoint"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The API endpoint URL for the Astra DB service. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"namespace"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The optional namespace within Astra DB for the collection."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"session_id"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The unique identifier for the chat session. Uses the current session ID if not provided."})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"astra-db-cql",children:"Astra DB CQL"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB CQL"})," component allows agents to query data from CQL tables in Astra DB."]}),"\n",(0,n.jsxs)(t.p,{children:["The output is a list of ",(0,n.jsx)(t.a,{href:"/data-types#data",children:(0,n.jsx)(t.code,{children:"Data"})})," objects containing the query results from the Astra DB CQL table. Each Data object contains the document fields specified by the projection fields. Limited by the ",(0,n.jsx)(t.code,{children:"number_of_results"})," parameter."]}),"\n",(0,n.jsx)(t.h3,{id:"astra-db-cql-parameters",children:"Astra DB CQL parameters"}),"\n",(0,n.jsxs)(t.p,{children:["Some component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,n.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Controls"})," in the ",(0,n.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name used to reference the tool in the agent's prompt."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Description"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. A brief description of the tool to guide the model in using it."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Keyspace"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the keyspace."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Table Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the Astra DB CQL table to query."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The authentication token for Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"API Endpoint"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The Astra DB API endpoint."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Projection Fields"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:'Input parameter. The attributes to return, separated by commas. Default: "*".'})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Partition Keys"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Input parameter. Required parameters that the model must fill to query the tool."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Clustering Keys"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Input parameter. Optional parameters the model can fill to refine the query. Required parameters should be marked with an exclamation mark, for example, ",(0,n.jsx)(t.code,{children:"!customer_id"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Static Filters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsx)(t.td,{children:"Input parameter. Attribute-value pairs used to filter query results."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Limit"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The number of records to return."})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"astra-db-tool",children:"Astra DB Tool"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component enables searching data in Astra DB collections, including hybrid search, vector search, and regular filter-based search.\nSpecialized searches require that the collection is pre-configured with the required parameters."]}),"\n",(0,n.jsxs)(t.p,{children:["Outputs a list of ",(0,n.jsx)(t.a,{href:"/data-types#data",children:(0,n.jsx)(t.code,{children:"Data"})})," objects containing the query results from Astra DB. Each ",(0,n.jsx)(t.code,{children:"Data"})," object contains the document fields specified by the projection attributes. Limited by the ",(0,n.jsx)(t.code,{children:"number_of_results"})," parameter and the upper limit of the Astra DB Data API, depending on the type of search."]}),"\n",(0,n.jsxs)(t.p,{children:["You can use the component to execute queries directly as isolated steps in a flow, or you can connect it as a ",(0,n.jsx)(t.a,{href:"/agents-tools",children:"tool for an agent"})," to allow the agent to query data from Astra DB collections as needed to respond to user queries.\nFor more information, see ",(0,n.jsx)(t.a,{href:"/agents",children:"Use Langflow agents"}),"."]}),"\n",(0,n.jsx)(t.p,{children:(0,n.jsx)(t.img,{alt:"Astra DB Tool component connected as a tool to an Agent component",src:r(68335).A+"",width:"4000",height:"2742"})}),"\n",(0,n.jsx)(t.h3,{id:"astra-db-tool-parameters",children:"Astra DB Tool parameters"}),"\n",(0,n.jsxs)(t.p,{children:["The following parameters are for the ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component overall."]}),"\n",(0,n.jsxs)(t.p,{children:["The values for ",(0,n.jsx)(t.strong,{children:"Collection Name"}),", ",(0,n.jsx)(t.strong,{children:"Astra DB Application Token"}),", and ",(0,n.jsx)(t.strong,{children:"Astra DB API Endpoint"})," are found in your Astra DB deployment. For more information, see the ",(0,n.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/databases/create-database.html",children:"Astra DB Serverless documentation"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name used to reference the tool in the agent's prompt."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Description"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. A brief description of the tool. This helps the model decide when to use it."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Keyspace Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["Input parameter. The name of the keyspace in Astra DB. Default: ",(0,n.jsx)(t.code,{children:"default_keyspace"})]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Collection Name"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the Astra DB collection to query."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The authentication token for accessing Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"API Endpoint"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsx)(t.td,{children:"Input parameter. The Astra DB API endpoint."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Projection Fields"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["Input parameter. Comma-separated list of attributes to return from matching documents. The default is the default projection, ",(0,n.jsx)(t.code,{children:"*"}),", which returns all attributes except reserved fields like ",(0,n.jsx)(t.code,{children:"$vector"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Tool Parameters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Input parameter. ",(0,n.jsxs)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/document-methods/find-many.html#parameters",children:["Astra DB Data API ",(0,n.jsx)(t.code,{children:"find"})," filters"]})," that become tools for an agent. These Filters ",(0,n.jsx)(t.em,{children:"may"})," be used in a search, if the agent selects them. See ",(0,n.jsx)(t.a,{href:"#define-tool-specific-parameters",children:"Define tool-specific parameters"}),"."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Static Filters"}),(0,n.jsx)(t.td,{children:"Dict"}),(0,n.jsxs)(t.td,{children:["Input parameter. Attribute-value pairs used to filter query results. Equivalent to ",(0,n.jsxs)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/document-methods/find-many.html#parameters",children:["Astra DB Data API ",(0,n.jsx)(t.code,{children:"find"})," filters"]}),". ",(0,n.jsx)(t.strong,{children:"Static Filters"})," are included with ",(0,n.jsx)(t.em,{children:"every"})," query. Use ",(0,n.jsx)(t.strong,{children:"Static Filters"})," without semantic search to perform a regular filter search."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Number of Results"}),(0,n.jsx)(t.td,{children:"Int"}),(0,n.jsx)(t.td,{children:"Input parameter. The maximum number of documents to return."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Semantic Search"}),(0,n.jsx)(t.td,{children:"Boolean"}),(0,n.jsxs)(t.td,{children:["Input parameter. Whether to run a similarity search by generating a vector embedding from the chat input and following the ",(0,n.jsx)(t.strong,{children:"Semantic Search Instruction"}),". Default: ",(0,n.jsx)(t.code,{children:"False"}),". If ",(0,n.jsx)(t.code,{children:"True"}),", you must attach an ",(0,n.jsxs)(t.a,{href:"/components-embedding-models",children:[(0,n.jsx)(t.strong,{children:"Embedding Model"})," component"]})," or have vectorize pre-enabled on your collection."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Use Astra DB Vectorize"}),(0,n.jsx)(t.td,{children:"Boolean"}),(0,n.jsxs)(t.td,{children:["Input parameter. Whether to use the Astra DB vectorize feature for embedding generation when running a semantic search. Default: ",(0,n.jsx)(t.code,{children:"False"}),". If ",(0,n.jsx)(t.code,{children:"True"}),", you must have vectorize pre-enabled on your collection."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Embedding Model"}),(0,n.jsx)(t.td,{children:"Embedding"}),(0,n.jsxs)(t.td,{children:["Input parameter. A port to attach an ",(0,n.jsx)(t.strong,{children:"Embedding Model"})," component to generate a vector from input text for semantic search. This can be used when ",(0,n.jsx)(t.strong,{children:"Semantic Search"})," is ",(0,n.jsx)(t.code,{children:"True"})," with or without vectorize. Be sure to use a model that aligns with the dimensions of the embeddings already present in the collection."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Semantic Search Instruction"}),(0,n.jsx)(t.td,{children:"String"}),(0,n.jsxs)(t.td,{children:["Input parameter. The query to use for similarity search. Default: ",(0,n.jsx)(t.code,{children:'"Find documents similar to the query."'}),". This instruction is used to guide the model in performing semantic search."]})]})]})]}),"\n",(0,n.jsx)(t.h3,{id:"define-tool-specific-parameters",children:"Define tool-specific parameters"}),"\n",(0,n.jsxs)(t.admonition,{type:"tip",children:[(0,n.jsxs)(t.p,{children:[(0,n.jsx)(t.strong,{children:"Tool Parameters"})," are small functions that you create within the ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component.\nThey give the LLM pre-defined ways to interact with the data in your collection."]}),(0,n.jsx)(t.p,{children:"Without these filters, the LLM has no concept of the data in your collection or which attributes are important."}),(0,n.jsx)(t.p,{children:"At runtime, the LLM can decide which filters are relevant to the current query."}),(0,n.jsxs)(t.p,{children:["Filters in ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," aren't always applied.\nIf you want to enforce filters for ",(0,n.jsx)(t.em,{children:"every"})," query, use the ",(0,n.jsx)(t.strong,{children:"Static Filters"})," parameter.\nYou can use both ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," and ",(0,n.jsx)(t.strong,{children:"Static Filters"})," to set some required filters and some optional filters."]})]}),"\n",(0,n.jsxs)(t.p,{children:["In the ",(0,n.jsx)(t.strong,{children:"Astra DB Tool"})," component's ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," field, you can create filters to query documents in your collection."]}),"\n",(0,n.jsxs)(t.p,{children:["When used in ",(0,n.jsx)(t.strong,{children:"Tool Mode"})," with an agent, these filters tell the agent which document attributes are most important, which are required in searches, and which operators to use on certain attributes.\nThe filters become available as parameters that the LLM can use when calling the tool, with a better understanding of each parameter provided by the ",(0,n.jsx)(t.strong,{children:"Description"})," field."]}),"\n",(0,n.jsxs)(t.p,{children:["In the ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," pane, click ",(0,n.jsx)(i.A,{name:"Plus","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Add a new row"}),", and then edit each cell in the row.\nFor example, the following filter allows an LLM to filter by unique ",(0,n.jsx)(t.code,{children:"customer_id"})," values:"]}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsxs)(t.li,{children:["Name: ",(0,n.jsx)(t.code,{children:"customer_id"})]}),"\n",(0,n.jsx)(t.li,{children:"Attribute Name: Leave empty if the attribute matches the field name in the database."}),"\n",(0,n.jsxs)(t.li,{children:["Description: ",(0,n.jsx)(t.code,{children:'"The unique identifier of the customer to filter by"'}),"."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Metadata: ",(0,n.jsx)(t.code,{children:"False"})," unless the value stored in the metadata field."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Mandatory: ",(0,n.jsx)(t.code,{children:"True"})," to require this filter."]}),"\n",(0,n.jsxs)(t.li,{children:["Is Timestamp: For this example, select ",(0,n.jsx)(t.code,{children:"False"})," because the value is an ID, not a timestamp."]}),"\n",(0,n.jsxs)(t.li,{children:["Operator: ",(0,n.jsx)(t.code,{children:"$eq"})," to look for an exact match."]}),"\n"]}),"\n",(0,n.jsxs)(t.p,{children:["The following fields are available for each row in the ",(0,n.jsx)(t.strong,{children:"Tool Parameters"})," pane:"]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Parameter"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Name"}),(0,n.jsx)(t.td,{children:"The name of the parameter that is exposed to the LLM. It can be the same as the underlying field name or a more descriptive label. The LLM uses this name, along with the description, to infer what value to provide during execution."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Attribute Name"}),(0,n.jsxs)(t.td,{children:["When the parameter name shown to the LLM differs from the actual field or property in the database, use this setting to map the user-facing name to the correct attribute. For example, to apply a range filter to the timestamp field, define two separate parameters, such as ",(0,n.jsx)(t.code,{children:"start_date"})," and ",(0,n.jsx)(t.code,{children:"end_date"}),", that both reference the same timestamp attribute."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Description"}),(0,n.jsxs)(t.td,{children:["Provides instructions to the LLM on how the parameter should be used. Clear and specific guidance helps the LLM provide valid input. For example, if a field such as ",(0,n.jsx)(t.code,{children:"specialty"})," is stored in lowercase, the description should indicate that the input must be lowercase."]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Is Metadata"}),(0,n.jsxs)(t.td,{children:["When loading data using LangChain or Langflow, additional attributes may be stored under a metadata object. If the target attribute is stored this way, enable this option. It adjusts the query by generating a filter in the format: ",(0,n.jsx)(t.code,{children:'{"metadata.<attribute_name>": "<value>"}'})]})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Is Timestamp"}),(0,n.jsx)(t.td,{children:"For date or time-based filters, enable this option to automatically convert values to the timestamp format that the Astrapy client expects. This ensures compatibility with the underlying API without requiring manual formatting."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"Operator"}),(0,n.jsxs)(t.td,{children:["Defines the filtering logic applied to the attribute. You can use any valid ",(0,n.jsx)(t.a,{href:"https://docs.datastax.com/en/astra-db-serverless/api-reference/filter-operator-collections.html",children:"Data API filter operator"}),". For example, to filter a time range on the timestamp attribute, use two parameters: one with the ",(0,n.jsx)(t.code,{children:"$gt"}),' operator for "greater than", and another with the ',(0,n.jsx)(t.code,{children:"$lt"}),' operator for "less than".']})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"cassandra-chat-memory",children:"Cassandra Chat Memory"}),"\n",(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Cassandra Chat Memory"})," component retrieves and stores chat messages using an Apache Cassandra-based database, including Astra DB and Hyper-Converged Database (HCD)."]}),"\n",(0,n.jsxs)(t.p,{children:["Chat memories are passed between memory storage components as the ",(0,n.jsx)(t.a,{href:"/data-types#memory",children:(0,n.jsx)(t.code,{children:"Memory"})})," data type.\nSpecifically, the component creates an instance of ",(0,n.jsx)(t.code,{children:"CassandraChatMessageHistory"}),", which is a LangChain chat message history class that uses a Cassandra database for storage."]}),"\n",(0,n.jsxs)(t.p,{children:["For more information about using external chat memory in flows, see the ",(0,n.jsxs)(t.a,{href:"/components-helpers#message-history",children:[(0,n.jsx)(t.strong,{children:"Message History"})," component"]}),"."]}),"\n",(0,n.jsx)(t.h3,{id:"cassandra-chat-memory-parameters",children:"Cassandra Chat Memory parameters"}),"\n",(0,n.jsxs)(t.p,{children:["Some component input parameters are hidden by default in the visual editor.\nYou can toggle parameters through the ",(0,n.jsx)(i.A,{name:"SlidersHorizontal","aria-hidden":"true"})," ",(0,n.jsx)(t.strong,{children:"Controls"})," in the ",(0,n.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),"."]}),"\n",(0,n.jsxs)(t.table,{children:[(0,n.jsx)(t.thead,{children:(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.th,{children:"Name"}),(0,n.jsx)(t.th,{children:"Type"}),(0,n.jsx)(t.th,{children:"Description"})]})}),(0,n.jsxs)(t.tbody,{children:[(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"database_ref"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The contact points for the Cassandra database or Astra DB database ID. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"username"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The username for Cassandra. Leave empty for Astra DB."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"token"}),(0,n.jsx)(t.td,{children:"SecretString"}),(0,n.jsx)(t.td,{children:"Input parameter. The password for Cassandra or the token for Astra DB. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"keyspace"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The keyspace in Cassandra or namespace in Astra DB. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"table_name"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The name of the table or collection for storing messages. Required."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"session_id"}),(0,n.jsx)(t.td,{children:"MessageText"}),(0,n.jsx)(t.td,{children:"Input parameter. The unique identifier for the chat session. Optional."})]}),(0,n.jsxs)(t.tr,{children:[(0,n.jsx)(t.td,{children:"cluster_kwargs"}),(0,n.jsx)(t.td,{children:"Dictionary"}),(0,n.jsx)(t.td,{children:"Input parameter. Additional keyword arguments for the Cassandra cluster configuration. Optional."})]})]})]}),"\n",(0,n.jsx)(t.h2,{id:"datastax-assistant-components",children:"DataStax assistant components"}),"\n",(0,n.jsx)(t.p,{children:"The following DataStax components are used to create and manage Assistants API functions in a flow:"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Astra Assistant Agent"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Create Assistant"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Create Assistant Thread"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Get Assistant Name"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"List Assistants"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Run Assistant"})}),"\n"]}),"\n",(0,n.jsx)(t.h2,{id:"datastax-environment-variable-components",children:"DataStax environment variable components"}),"\n",(0,n.jsx)(t.p,{children:"The following DataStax components are used to load and retrieve environment variables in a flow:"}),"\n",(0,n.jsxs)(t.ul,{children:["\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Dotenv"})}),"\n",(0,n.jsx)(t.li,{children:(0,n.jsx)(t.strong,{children:"Get Environment Variable"})}),"\n"]}),"\n",(0,n.jsx)(t.h2,{id:"legacy-datastax-components",children:"Legacy DataStax components"}),"\n",(0,n.jsx)(t.p,{children:"The following components are considered legacy or deprecated.\nThese components are no longer being developed and can be removed in future releases."}),"\n",(0,n.jsx)(t.p,{children:"Replace them with the suggested alternatives as soon as possible."}),"\n",(0,n.jsxs)(s,{children:[(0,n.jsx)("summary",{children:"Astra DB Vectorize"}),(0,n.jsxs)(t.p,{children:["This component was deprecated in Langflow version 1.1.2.\nReplace it with the ",(0,n.jsxs)(t.a,{href:"/components-vector-stores#astra-db",children:[(0,n.jsx)(t.strong,{children:"Astra DB"})," vector store component"]})," as soon as possible."]}),(0,n.jsxs)(t.p,{children:["The ",(0,n.jsx)(t.strong,{children:"Astra DB Vectorize"})," component was used to generate embeddings with Astra DB's vectorize feature in conjunction with an ",(0,n.jsx)(t.strong,{children:"Astra DB"})," vector store component."]}),(0,n.jsxs)(t.p,{children:["The vectorize functionality is now built into the ",(0,n.jsx)(t.strong,{children:"Astra DB"})," vector store component.\nYou no longer need a separate component for vectorize embedding generation."]})]})]})}function m(e={}){const{wrapper:t}={...(0,a.R)(),...e.components};return t?(0,n.jsx)(t,{...e,children:(0,n.jsx)(h,{...e})}):h(e)}},17886:(e,t,r)=>{r.d(t,{A:()=>a});r(96540);var s=r(64058),n=r(74848);function a({name:e,...t}){const r=s[e];return r?(0,n.jsx)(r,{...t}):null}},68335:(e,t,r)=>{r.d(t,{A:()=>s});const s=r.p+"assets/images/component-astra-db-json-tool-117aff566c0df01a555264bb128b3693.png"}}]);
\ No newline at end of file
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+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[4223],{26928:(e,t,n)=>{n.r(t),n.d(t,{CH:()=>a,assets:()=>l,chCodeConfig:()=>h,contentTitle:()=>d,default:()=>u,frontMatter:()=>c,metadata:()=>i,toc:()=>x});const i=JSON.parse('{"id":"Integrations/Nvidia/integrations-nvidia-ingest","title":"Integrate NVIDIA Retriever Extraction with Langflow","description":"NVIDIA Retriever Extraction is also known as NV-Ingest and NeMo Retriever Extraction.","source":"@site/docs/Integrations/Nvidia/integrations-nvidia-ingest.mdx","sourceDirName":"Integrations/Nvidia","slug":"/integrations-nvidia-ingest","permalink":"/integrations-nvidia-ingest","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Integrate NVIDIA Retriever Extraction with Langflow","slug":"/integrations-nvidia-ingest"},"sidebar":"docs","previous":{"title":"NVIDIA components","permalink":"/bundles-nvidia"},"next":{"title":"NVIDIA NIM on WSL2","permalink":"/integrations-nvidia-ingest-wsl2"}}');var r=n(74848),s=n(28453),o=n(24754);const c={title:"Integrate NVIDIA Retriever Extraction with Langflow",slug:"/integrations-nvidia-ingest"},d=void 0,l={},a={annotations:o.hk,Code:o.Cy},h={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},x=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Use the NVIDIA Retriever Extraction component in a flow",id:"use-the-nvidia-retriever-extraction-component-in-a-flow",level:2},{value:"NVIDIA Retriever Extraction component parameters",id:"parameters",level:2},{value:"Inputs",id:"inputs",level:3},{value:"Outputs",id:"outputs",level:3}];function p(e){const t={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,s.R)(),...e.components};return a||j("CH",!1),a.Code||j("CH.Code",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n",(0,r.jsx)(t.admonition,{type:"note",children:(0,r.jsx)(t.p,{children:"NVIDIA Retriever Extraction is also known as NV-Ingest and NeMo Retriever Extraction."})}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component integrates with the ",(0,r.jsx)(t.a,{href:"https://github.com/NVIDIA/nv-ingest",children:"NVIDIA nv-ingest"})," microservice for data ingestion, processing, and extraction of text files."]}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.code,{children:"nv-ingest"})," service supports multiple extraction methods for PDF, DOCX, and PPTX file types, and includes pre-  and post-processing services like splitting, chunking, and embedding generation. The extractor service's High Resolution mode uses the ",(0,r.jsx)(t.code,{children:"nemoretriever-parse"})," extraction method for better quality extraction from scanned PDF documents. This feature is only available for PDF files."]}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component imports the NVIDIA ",(0,r.jsx)(t.code,{children:"Ingestor"})," client, ingests files with requests to the NVIDIA ingest endpoint, and outputs the processed content as a list of ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"})," objects. ",(0,r.jsx)(t.code,{children:"Ingestor"})," accepts additional configuration options for data extraction from other text formats. 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To install the dependencies in a virtual environment, run the following commands."]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"If you have the Langflow repository cloned and installed from source:"}),"\n"]}),"\n",(0,r.jsx)(a.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"source **",props:{style:{color:"#79C0FF"}}},{content:"YOUR_LANGFLOW_VENV",props:{style:{color:"#A5D6FF"}}},{content:"**",props:{style:{color:"#79C0FF"}}},{content:"/bin/activate",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"sync ",props:{style:{color:"#A5D6FF"}}},{content:"--extra ",props:{style:{color:"#79C0FF"}}},{content:"nv-ingest",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"run langflow run",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"If you are installing Langflow from the Python Package Index:"}),"\n"]}),"\n",(0,r.jsx)(a.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"source **",props:{style:{color:"#79C0FF"}}},{content:"YOUR_LANGFLOW_VENV",props:{style:{color:"#A5D6FF"}}},{content:"**",props:{style:{color:"#79C0FF"}}},{content:"/bin/activate",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"pip install ",props:{style:{color:"#A5D6FF"}}},{content:"--prerelease=allow ",props:{style:{color:"#79C0FF"}}},{content:"'langflow[nv-ingest]'",props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"run langflow run",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(t.h2,{id:"use-the-nvidia-retriever-extraction-component-in-a-flow",children:"Use the NVIDIA Retriever Extraction component in a flow"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component accepts ",(0,r.jsx)(t.strong,{children:"Message"})," inputs and outputs ",(0,r.jsx)(t.strong,{children:"Data"}),". 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Paste your endpoint in the ",(0,r.jsx)(t.strong,{children:"Value"})," field."]}),"\n",(0,r.jsxs)(t.li,{children:["In the ",(0,r.jsx)(t.strong,{children:"Apply To Fields"})," field, select the field you want to globally apply this variable to. 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Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"extract_charts"}),(0,r.jsx)(t.td,{children:"Extract Charts"}),(0,r.jsxs)(t.td,{children:["Extract text from charts. Default: ",(0,r.jsx)(t.code,{children:"False"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"extract_tables"}),(0,r.jsx)(t.td,{children:"Extract Tables"}),(0,r.jsxs)(t.td,{children:["Extract text from tables. Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"extract_images"}),(0,r.jsx)(t.td,{children:"Extract Images"}),(0,r.jsxs)(t.td,{children:["Extract images from document. Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"extract_infographics"}),(0,r.jsx)(t.td,{children:"Extract Infographics"}),(0,r.jsxs)(t.td,{children:["Extract infographics from document. Default: ",(0,r.jsx)(t.code,{children:"False"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"text_depth"}),(0,r.jsx)(t.td,{children:"Text Depth"}),(0,r.jsxs)(t.td,{children:["The level at which text is extracted. Options: 'document', 'page', 'block', 'line', 'span'. Default: ",(0,r.jsx)(t.code,{children:"page"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"split_text"}),(0,r.jsx)(t.td,{children:"Split Text"}),(0,r.jsxs)(t.td,{children:["Split text into smaller chunks. Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_size"}),(0,r.jsx)(t.td,{children:"Chunk Size"}),(0,r.jsxs)(t.td,{children:["The number of tokens per chunk. Default: ",(0,r.jsx)(t.code,{children:"500"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"chunk_overlap"}),(0,r.jsx)(t.td,{children:"Chunk Overlap"}),(0,r.jsxs)(t.td,{children:["Number of tokens to overlap from previous chunk. 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Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"high_resolution"}),(0,r.jsx)(t.td,{children:"High Resolution (PDF only)"}),(0,r.jsxs)(t.td,{children:["Process PDF in high-resolution mode for better quality extraction from scanned PDF. Default: ",(0,r.jsx)(t.code,{children:"False"}),"."]})]})]})]}),"\n",(0,r.jsx)(t.h3,{id:"outputs",children:"Outputs"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component outputs a list of ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"})," objects where each object contains:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"text"}),": The extracted content.","\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"For text documents: The extracted text content."}),"\n",(0,r.jsx)(t.li,{children:"For tables and charts: The extracted table/chart content."}),"\n",(0,r.jsx)(t.li,{children:"For images: The image caption."}),"\n",(0,r.jsx)(t.li,{children:"For infographics: The extracted infographic content."}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"file_path"}),": The source file name and path."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"document_type"}),": The type of the document, which can be ",(0,r.jsx)(t.code,{children:"text"}),", ",(0,r.jsx)(t.code,{children:"structured"}),", or ",(0,r.jsx)(t.code,{children:"image"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"description"}),": Additional description of the content."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["The output varies based on the ",(0,r.jsx)(t.code,{children:"document_type"}),":"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Documents with ",(0,r.jsx)(t.code,{children:'document_type: "text"'})," contain:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"Raw text content extracted from documents, for example, paragraphs from PDFs or DOCX files."}),"\n",(0,r.jsxs)(t.li,{children:["Content stored directly in the ",(0,r.jsx)(t.code,{children:"text"})," field."]}),"\n",(0,r.jsxs)(t.li,{children:["Content extracted using the ",(0,r.jsx)(t.code,{children:"extract_text"})," parameter."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Documents with ",(0,r.jsx)(t.code,{children:'document_type: "structured"'})," contain:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"Text extracted from tables, charts, and infographics and processed to preserve structural information."}),"\n",(0,r.jsxs)(t.li,{children:["Content extracted using the ",(0,r.jsx)(t.code,{children:"extract_tables"}),", ",(0,r.jsx)(t.code,{children:"extract_charts"}),", and ",(0,r.jsx)(t.code,{children:"extract_infographics"})," parameters."]}),"\n",(0,r.jsxs)(t.li,{children:["Content stored in the ",(0,r.jsx)(t.code,{children:"text"})," field after being processed from the ",(0,r.jsx)(t.code,{children:"table_content"})," metadata."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Documents with ",(0,r.jsx)(t.code,{children:'document_type: "image"'})," contain:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"Image content extracted from documents."}),"\n",(0,r.jsxs)(t.li,{children:["Caption text stored in the ",(0,r.jsx)(t.code,{children:"text"})," field when ",(0,r.jsx)(t.code,{children:"caption_images"})," is enabled."]}),"\n",(0,r.jsxs)(t.li,{children:["Content extracted using the ",(0,r.jsx)(t.code,{children:"extract_images"})," parameter."]}),"\n"]}),"\n"]}),"\n"]})]})}function u(e={}){const{wrapper:t}={...(0,s.R)(),...e.components};return t?(0,r.jsx)(t,{...e,children:(0,r.jsx)(p,{...e})}):p(e)}function j(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},28453:(e,t,n)=>{n.d(t,{R:()=>o,x:()=>c});var i=n(96540);const r={},s=i.createContext(r);function o(e){const t=i.useContext(s);return i.useMemo(function(){return"function"==typeof e?e(t):{...t,...e}},[t,e])}function c(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:o(e.components),i.createElement(s.Provider,{value:t},e.children)}},76102:(e,t,n)=>{n.d(t,{A:()=>i});const i=n.p+"assets/images/nvidia-component-ingest-astra-c6f0107751252206ab0d500a25ba3f9c.png"}}]);
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Default: ",(0,r.jsx)(t.code,{children:"True"}),"."]})]}),(0,r.jsxs)(t.tr,{children:[(0,r.jsx)(t.td,{children:"high_resolution"}),(0,r.jsx)(t.td,{children:"High Resolution (PDF only)"}),(0,r.jsxs)(t.td,{children:["Process PDF in high-resolution mode for better quality extraction from scanned PDF. Default: ",(0,r.jsx)(t.code,{children:"False"}),"."]})]})]})]}),"\n",(0,r.jsx)(t.h3,{id:"outputs",children:"Outputs"}),"\n",(0,r.jsxs)(t.p,{children:["The ",(0,r.jsx)(t.strong,{children:"NVIDIA Retriever Extraction"})," component outputs a list of ",(0,r.jsx)(t.a,{href:"/data-types#data",children:"Data"})," objects where each object contains:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"text"}),": The extracted content.","\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"For text documents: The extracted text content."}),"\n",(0,r.jsx)(t.li,{children:"For tables and charts: The extracted table/chart content."}),"\n",(0,r.jsx)(t.li,{children:"For images: The image caption."}),"\n",(0,r.jsx)(t.li,{children:"For infographics: The extracted infographic content."}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"file_path"}),": The source file name and path."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"document_type"}),": The type of the document, which can be ",(0,r.jsx)(t.code,{children:"text"}),", ",(0,r.jsx)(t.code,{children:"structured"}),", or ",(0,r.jsx)(t.code,{children:"image"}),"."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.code,{children:"description"}),": Additional description of the content."]}),"\n"]}),"\n",(0,r.jsxs)(t.p,{children:["The output varies based on the ",(0,r.jsx)(t.code,{children:"document_type"}),":"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Documents with ",(0,r.jsx)(t.code,{children:'document_type: "text"'})," contain:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"Raw text content extracted from documents, for example, paragraphs from PDFs or DOCX files."}),"\n",(0,r.jsxs)(t.li,{children:["Content stored directly in the ",(0,r.jsx)(t.code,{children:"text"})," field."]}),"\n",(0,r.jsxs)(t.li,{children:["Content extracted using the ",(0,r.jsx)(t.code,{children:"extract_text"})," parameter."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Documents with ",(0,r.jsx)(t.code,{children:'document_type: "structured"'})," contain:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"Text extracted from tables, charts, and infographics and processed to preserve structural information."}),"\n",(0,r.jsxs)(t.li,{children:["Content extracted using the ",(0,r.jsx)(t.code,{children:"extract_tables"}),", ",(0,r.jsx)(t.code,{children:"extract_charts"}),", and ",(0,r.jsx)(t.code,{children:"extract_infographics"})," parameters."]}),"\n",(0,r.jsxs)(t.li,{children:["Content stored in the ",(0,r.jsx)(t.code,{children:"text"})," field after being processed from the ",(0,r.jsx)(t.code,{children:"table_content"})," metadata."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(t.li,{children:["\n",(0,r.jsxs)(t.p,{children:["Documents with ",(0,r.jsx)(t.code,{children:'document_type: "image"'})," contain:"]}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsx)(t.li,{children:"Image content extracted from documents."}),"\n",(0,r.jsxs)(t.li,{children:["Caption text stored in the ",(0,r.jsx)(t.code,{children:"text"})," field when ",(0,r.jsx)(t.code,{children:"caption_images"})," is enabled."]}),"\n",(0,r.jsxs)(t.li,{children:["Content extracted using the ",(0,r.jsx)(t.code,{children:"extract_images"})," parameter."]}),"\n"]}),"\n"]}),"\n"]})]})}function u(e={}){const{wrapper:t}={...(0,s.R)(),...e.components};return t?(0,r.jsx)(t,{...e,children:(0,r.jsx)(p,{...e})}):p(e)}function j(e,t){throw new Error("Expected "+(t?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},28453:(e,t,n)=>{n.d(t,{R:()=>o,x:()=>c});var i=n(96540);const r={},s=i.createContext(r);function o(e){const t=i.useContext(s);return i.useMemo(function(){return"function"==typeof e?e(t):{...t,...e}},[t,e])}function c(e){let t;return t=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:o(e.components),i.createElement(s.Provider,{value:t},e.children)}},76102:(e,t,n)=>{n.d(t,{A:()=>i});const i=n.p+"assets/images/nvidia-component-ingest-astra-c6f0107751252206ab0d500a25ba3f9c.png"}}]);
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diff --git a/assets/js/f4c28b6b.1aa07666.js b/assets/js/f4c28b6b.1aa07666.js
new file mode 100644
index 0000000000..cfa4b32e84
--- /dev/null
+++ b/assets/js/f4c28b6b.1aa07666.js
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[1068],{6570:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>l,contentTitle:()=>r,default:()=>h,frontMatter:()=>a,metadata:()=>i,toc:()=>c});const i=JSON.parse('{"id":"Integrations/Notion/integrations-notion","title":"Set up a Notion App","description":"To use Notion components in Langflow, you first need to create a Notion integration and configure it with the necessary capabilities. 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This guide will walk you through the process of setting up a Notion integration and granting it access to your Notion databases.","source":"@site/docs/Integrations/Notion/integrations-notion.mdx","sourceDirName":"Integrations/Notion","slug":"/integrations/notion/setup","permalink":"/integrations/notion/setup","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Set up a Notion App","slug":"/integrations/notion/setup"},"sidebar":"docs","previous":{"title":"MistralAI","permalink":"/bundles-mistralai"},"next":{"title":"Notion Conversational Agent","permalink":"/integrations/notion/notion-agent-conversational"}}');var o=t(74848),a=t(28453);const s={title:"Set up a Notion App",slug:"/integrations/notion/setup"},r=void 0,l={},c=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Create a Notion Integration",id:"create-a-notion-integration",level:2},{value:"Configure Integration Capabilities",id:"configure-integration-capabilities",level:2},{value:"Obtain Integration Token",id:"obtain-integration-token",level:2},{value:"Grant Integration Access to Notion Databases",id:"grant-integration-access-to-notion-databases",level:2},{value:"Build with Notion components in Langflow",id:"build-with-notion-components-in-langflow",level:2},{value:"Next steps",id:"next-steps",level:2}];function d(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,a.R)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)(n.p,{children:"To use Notion components in Langflow, you first need to create a Notion integration and configure it with the necessary capabilities. This guide will walk you through the process of setting up a Notion integration and granting it access to your Notion databases."}),"\n",(0,o.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"A Notion account with access to the workspace where you want to use the integration."}),"\n",(0,o.jsx)(n.li,{children:"Admin permissions in the Notion workspace to create and manage integrations."}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"create-a-notion-integration",children:"Create a Notion Integration"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["Go to the ",(0,o.jsx)(n.a,{href:"https://www.notion.com/my-integrations",children:"Notion Integrations"})," page."]}),"\n",(0,o.jsx)(n.li,{children:'Click on the "New integration" button.'}),"\n",(0,o.jsx)(n.li,{children:"Give your integration a name and select the workspace where you want to use it."}),"\n",(0,o.jsx)(n.li,{children:'Click "Submit" to create the integration.'}),"\n"]}),"\n",(0,o.jsx)(n.admonition,{type:"info",children:(0,o.jsxs)(n.p,{children:["When creating the integration, make sure to enable the necessary capabilities based on your requirements. Refer to the ",(0,o.jsx)(n.a,{href:"https://developers.notion.com/reference/capabilities",children:"Notion Integration Capabilities"})," documentation for more information on each capability."]})}),"\n",(0,o.jsx)(n.h2,{id:"configure-integration-capabilities",children:"Configure Integration Capabilities"}),"\n",(0,o.jsx)(n.p,{children:"After creating the integration, you need to configure its capabilities to define what actions it can perform and what data it can access."}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["In the integration settings page, go to the ",(0,o.jsx)(n.strong,{children:"Capabilities"})," tab."]}),"\n",(0,o.jsxs)(n.li,{children:["Enable the required capabilities for your integration. For example:","\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:'If your integration needs to read data from Notion, enable the "Read content" capability.'}),"\n",(0,o.jsx)(n.li,{children:'If your integration needs to create new content in Notion, enable the "Insert content" capability.'}),"\n",(0,o.jsx)(n.li,{children:'If your integration needs to update existing content in Notion, enable the "Update content" capability.'}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.li,{children:"Configure the user information access level based on your integration's requirements."}),"\n",(0,o.jsx)(n.li,{children:"Save the changes."}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"obtain-integration-token",children:"Obtain Integration Token"}),"\n",(0,o.jsx)(n.p,{children:"To authenticate your integration with Notion, you need to obtain an integration token."}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsx)(n.li,{children:'In the integration settings page, go to the "Secrets" tab.'}),"\n",(0,o.jsx)(n.li,{children:'Copy the "Internal Integration Token" value. This token will be used to authenticate your integration with Notion.'}),"\n"]}),"\n",(0,o.jsx)(n.admonition,{type:"warning",children:(0,o.jsx)(n.p,{children:"Your integration token is a sensitive piece of information. Make sure to keep it secure and never share it publicly. Store it safely in your Langflow configuration or environment variables."})}),"\n",(0,o.jsx)(n.h2,{id:"grant-integration-access-to-notion-databases",children:"Grant Integration Access to Notion Databases"}),"\n",(0,o.jsx)(n.p,{children:"For your integration to interact with Notion databases, you need to grant it access to the specific databases it will be working with."}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsx)(n.li,{children:"Open the Notion database that you want your integration to access."}),"\n",(0,o.jsx)(n.li,{children:'Click on the "Share" button in the top-right corner of the page.'}),"\n",(0,o.jsx)(n.li,{children:'In the "Invite" section, select your integration from the list.'}),"\n",(0,o.jsx)(n.li,{children:'Click "Invite" to grant the integration access to the database.'}),"\n"]}),"\n",(0,o.jsx)(n.admonition,{type:"info",children:(0,o.jsx)(n.p,{children:"If your database contains references to other databases, you need to grant the integration access to those referenced databases as well. Repeat step 4 for each referenced database to ensure your integration has the necessary access."})}),"\n",(0,o.jsx)(n.h2,{id:"build-with-notion-components-in-langflow",children:"Build with Notion components in Langflow"}),"\n",(0,o.jsx)(n.p,{children:"Once you have set up your Notion integration and granted it access to the required databases, you can start using the Notion components in Langflow:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Add Content to Page"}),": Converts markdown text to Notion blocks and appends them to a specified Notion page."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Create Page"}),": Creates a new page in a specified Notion database with the provided properties."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"List Database Properties"}),": Retrieves the properties of a specified Notion database."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"List Pages"}),": Queries a Notion database with filtering and sorting options."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"List Users"}),": Retrieves a list of users from the Notion workspace."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Page Content Viewer"}),": Retrieves the content of a Notion page as plain text."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Search"}),": Searches all pages and databases that have been shared with the integration. You can filter results to either pages or databases and specify the sort direction."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Update Page Property"}),": Updates the properties of an existing Notion page."]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["Each of these components can output ",(0,o.jsx)(n.code,{children:"Data"})," and ",(0,o.jsx)(n.code,{children:"Tool"})," ",(0,o.jsx)(n.a,{href:"/data-types",children:"data types"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"next-steps",children:"Next steps"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/integrations/notion/notion-agent-meeting-notes",children:"Notion Agent for Meeting Notes flow"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/integrations/notion/notion-agent-conversational",children:"Notion Conversational Agent flow"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"https://developers.notion.com/docs/getting-started",children:"Notion API Documentation"})}),"\n"]})]})}function h(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(d,{...e})}):d(e)}},28453:(e,n,t)=>{t.d(n,{R:()=>s,x:()=>r});var i=t(96540);const o={},a=i.createContext(o);function s(e){const n=i.useContext(a);return i.useMemo(function(){return"function"==typeof e?e(n):{...n,...e}},[n,e])}function r(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(o):e.components||o:s(e.components),i.createElement(a.Provider,{value:n},e.children)}}}]);
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diff --git a/assets/js/f7e6b9d6.7542aeb4.js b/assets/js/f7e6b9d6.7542aeb4.js
deleted file mode 100644
index ca61c5d122..0000000000
--- a/assets/js/f7e6b9d6.7542aeb4.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[1162],{28453:(e,o,t)=>{t.d(o,{R:()=>l,x:()=>c});var n=t(96540);const r={},s=n.createContext(r);function l(e){const o=n.useContext(s);return n.useMemo(function(){return"function"==typeof e?e(o):{...o,...e}},[o,e])}function c(e){let o;return o=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:l(e.components),n.createElement(s.Provider,{value:o},e.children)}},96057:(e,o,t)=>{t.r(o),t.d(o,{CH:()=>i,assets:()=>p,chCodeConfig:()=>d,contentTitle:()=>a,default:()=>y,frontMatter:()=>c,metadata:()=>n,toc:()=>h});const n=JSON.parse('{"id":"Deployment/deployment-public-server","title":"Deploy a public Langflow server","description":"By default, your Langflow server at http7860 isn\'t exposed to the public internet.","source":"@site/docs/Deployment/deployment-public-server.mdx","sourceDirName":"Deployment","slug":"/deployment-public-server","permalink":"/deployment-public-server","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Deploy a public Langflow server","slug":"/deployment-public-server"},"sidebar":"docs","previous":{"title":"Langflow deployment overview","permalink":"/deployment-overview"},"next":{"title":"Containerize a Langflow application","permalink":"/develop-application"}}');var r=t(74848),s=t(28453),l=t(24754);const c={title:"Deploy a public Langflow server",slug:"/deployment-public-server"},a=void 0,p={},i={annotations:l.hk,Code:l.Cy},d={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},h=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Expose your Langflow server with ngrok",id:"expose-your-langflow-server-with-ngrok",level:2},{value:"Use a public Langflow server",id:"use-a-public-langflow-server",level:2},{value:"Deploy your MCP server externally",id:"deploy-your-mcp-server-externally",level:3},{value:"Serve API requests",id:"serve-api-requests",level:3},{value:"Share a flow&#39;s Playground",id:"share-a-flows-playground",level:3}];function u(e){const o={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,s.R)(),...e.components};return i||g("CH",!1),i.Code||g("CH.Code",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n",(0,r.jsxs)(o.p,{children:["By default, your Langflow server at ",(0,r.jsx)(o.code,{children:"http://localhost:7860"})," isn't exposed to the public internet.\nHowever, you can forward Langflow server traffic with a forwarding platform like ",(0,r.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/",children:"ngrok"})," or ",(0,r.jsx)(o.a,{href:"https://docs.zrok.io/docs/getting-started",children:"zrok"})," to make your server public."]}),"\n",(0,r.jsxs)(o.p,{children:["When your Langflow server is public, you can do things like ",(0,r.jsx)(o.a,{href:"#deploy-your-mcp-server-externally",children:"deploy your Langflow MCP server externally"}),", ",(0,r.jsx)(o.a,{href:"#serve-api-requests",children:"serve API requests"}),", and ",(0,r.jsxs)(o.a,{href:"#share-a-flows-playground",children:["share a flow's ",(0,r.jsx)(o.strong,{children:"Playground"})," publicly"]}),"."]}),"\n",(0,r.jsx)(o.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsxs)(o.ul,{children:["\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:(0,r.jsx)(o.a,{href:"/get-started-installation",children:"Install Langflow."})}),"\n"]}),"\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:"Install a reverse proxy or forwarding service."}),"\n",(0,r.jsx)(o.p,{children:"This guide uses ngrok, but you can use any similar reverse proxy or forwarding platform."}),"\n",(0,r.jsxs)(o.p,{children:["If you want to follow along with this guide, ",(0,r.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/#1-install-ngrok",children:"install ngrok"})," and ",(0,r.jsx)(o.a,{href:"https://dashboard.ngrok.com/get-started/your-authtoken",children:"create an ngrok authtoken"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(o.h2,{id:"expose-your-langflow-server-with-ngrok",children:"Expose your Langflow server with ngrok"}),"\n",(0,r.jsxs)(o.ol,{children:["\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:"Start Langflow:"}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"run langflow run",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:"In another terminal window, use your ngrok authtoken to authenticate your local ngrok server:"}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"config add-authtoken NGROK_AUTHTOKEN",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:"Use ngrok to expose your Langflow server to the public internet:"}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"http http://localhost:",props:{style:{color:"#A5D6FF"}}},{content:"7860",props:{style:{color:"#79C0FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(o.p,{children:["This example assumes that you use the default Langflow listening address at ",(0,r.jsx)(o.code,{children:"http://localhost:7860"}),". If you have a different listening address, you must modify this command accordingly."]}),"\n",(0,r.jsxs)(o.p,{children:["The ngrok session starts in your terminal and deploys an ephemeral domain with no authentication.\nTo add authentication or deploy a static domain, see the ",(0,r.jsx)(o.a,{href:"https://ngrok.com/docs/",children:"ngrok documentation"}),"."]}),"\n",(0,r.jsxs)(o.p,{children:["The ",(0,r.jsx)(o.code,{children:"Forwarding"})," line prints the forwarding address for your Langflow server:"]}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Forwarding https://94b1-76-64-171-14.ngrok-free.app -> http://localhost:7860",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(o.p,{children:"The forwarding address acts as a reverse proxy for your Langflow server, and ngrok forwards your local traffic to this domain."}),"\n"]}),"\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsxs)(o.p,{children:["To verify that your Langflow server is publicly available, navigate to the forwarding address URL, such as ",(0,r.jsx)(o.code,{children:"https://94b1-76-64-171-14.ngrok-free.app"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(o.h2,{id:"use-a-public-langflow-server",children:"Use a public Langflow server"}),"\n",(0,r.jsxs)(o.p,{children:["When your Langflow server is public, you can do things like ",(0,r.jsx)(o.a,{href:"#deploy-your-mcp-server-externally",children:"deploy your Langflow MCP server externally"}),", ",(0,r.jsx)(o.a,{href:"#serve-api-requests",children:"serve API requests"}),", and ",(0,r.jsxs)(o.a,{href:"#share-a-flows-playground",children:["share a flow's ",(0,r.jsx)(o.strong,{children:"Playground"})," publicly"]}),"."]}),"\n",(0,r.jsx)(o.h3,{id:"deploy-your-mcp-server-externally",children:"Deploy your MCP server externally"}),"\n",(0,r.jsx)(o.p,{children:"After you deploy a public Langflow server, you can also access your Langflow projects' MCP servers publicly."}),"\n",(0,r.jsxs)(o.p,{children:["To do this, use your server's forwarding address when you ",(0,r.jsx)(o.a,{href:"/mcp-server#connect-clients-to-use-the-servers-actions",children:"connect a client to a Langflow MCP server"}),"."]}),"\n",(0,r.jsx)(o.h3,{id:"serve-api-requests",children:"Serve API requests"}),"\n",(0,r.jsxs)(o.p,{children:["To send requests to a public Langflow server's ",(0,r.jsx)(o.a,{href:"/api-reference-api-examples",children:"Langflow API"})," endpoints, use the server's domain as the ",(0,r.jsx)(o.a,{href:"/api-reference-api-examples#base-url",children:"base URL"})," for your API requests.\nFor example:"]}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"curl ",props:{style:{color:"#FFA657"}}},{content:"-X ",props:{style:{color:"#79C0FF"}}},{content:"POST ",props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:'  "PUBLIC_SERVER_DOMAIN/api/v1/webhook/FLOW_ID" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"Content-Type: application/json" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -H ",props:{style:{color:"#79C0FF"}}},{content:'"x-api-key: LANGFLOW_API_KEY" ',props:{style:{color:"#A5D6FF"}}},{content:"\\",props:{style:{color:"#79C0FF"}}}]},{tokens:[{content:"  -d ",props:{style:{color:"#79C0FF"}}},{content:'\'{"data": "example-data"}\'',props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsx)(o.admonition,{type:"tip",children:(0,r.jsxs)(o.p,{children:["For flows created on public Langflow servers, the code snippets generated in the ",(0,r.jsxs)(o.a,{href:"/concepts-publish",children:[(0,r.jsx)(o.strong,{children:"API access"})," pane"]})," automatically use your public server's domain."]})}),"\n",(0,r.jsxs)(o.p,{children:["You also use your public domain when making Langflow API calls in scripts, including the code snippets that are automatically generated by Langflow.\nFor example, the following code snippet calls an ngrok domain to trigger the specified flow (",(0,r.jsx)(o.code,{children:"d764c4b8..."}),"):"]}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"url ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"https://3f7c-73-64-93-151.ngrok-free.app/api/v1/run/d764c4b8-5cec-4c0f-9de0-4b419b11901a"  ',props:{style:{color:"#A5D6FF"}}},{content:"# The complete API endpoint URL for this flow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request payload configuration",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "output_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_value"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"Hello"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request headers",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"headers ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "Content-Type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"application/json"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "x-api-key: LANGFLOW_API_KEY"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"try",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    # Send API request",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"    response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.request(",props:{style:{color:"#C9D1D9"}}},{content:'"POST"',props:{style:{color:"#A5D6FF"}}},{content:", url, ",props:{style:{color:"#C9D1D9"}}},{content:"json",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"payload, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"headers)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    response.raise_for_status()  ",props:{style:{color:"#C9D1D9"}}},{content:"# Raise exception for bad status codes",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    # Print response",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"    print",props:{style:{color:"#79C0FF"}}},{content:"(response.text)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"except",props:{style:{color:"#FF7B72"}}},{content:" requests.exceptions.RequestException ",props:{style:{color:"#C9D1D9"}}},{content:"as",props:{style:{color:"#FF7B72"}}},{content:" e:",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    print",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"f",props:{style:{color:"#FF7B72"}}},{content:'"Error making API request: ',props:{style:{color:"#A5D6FF"}}},{content:"{",props:{style:{color:"#79C0FF"}}},{content:"e",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"except ",props:{style:{color:"#FF7B72"}}},{content:"ValueError ",props:{style:{color:"#79C0FF"}}},{content:"as",props:{style:{color:"#FF7B72"}}},{content:" e:",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    print",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"f",props:{style:{color:"#FF7B72"}}},{content:'"Error parsing response: ',props:{style:{color:"#A5D6FF"}}},{content:"{",props:{style:{color:"#79C0FF"}}},{content:"e",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,r.jsxs)(o.p,{children:["For a demo of the Langflow API in a script, see the ",(0,r.jsx)(o.a,{href:"/get-started-quickstart",children:"Quickstart"}),"."]}),"\n",(0,r.jsx)(o.h3,{id:"share-a-flows-playground",children:"Share a flow's Playground"}),"\n",(0,r.jsxs)(o.p,{children:["After you deploy a public Langflow server, you can use the ",(0,r.jsx)(o.strong,{children:"Shareable Playground"})," option to make a flow's ",(0,r.jsx)(o.strong,{children:"Playground"})," available at a public URL.\nIf a user accesses this URL, they can interact with the flow's chat input and output and view the results without installing Langflow or generating a Langflow API key."]}),"\n",(0,r.jsxs)(o.p,{children:["For more information, see ",(0,r.jsx)(o.a,{href:"/concepts-playground#share-a-flows-playground",children:"Share a flow's Playground"}),"."]})]})}function y(e={}){const{wrapper:o}={...(0,s.R)(),...e.components};return o?(0,r.jsx)(o,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}function g(e,o){throw new Error("Expected "+(o?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}}}]);
\ No newline at end of file
diff --git a/assets/js/f7e6b9d6.846917f8.js b/assets/js/f7e6b9d6.846917f8.js
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@@ -0,0 +1 @@
+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[1162],{28453:(e,o,t)=>{t.d(o,{R:()=>l,x:()=>c});var n=t(96540);const r={},s=n.createContext(r);function l(e){const o=n.useContext(s);return n.useMemo(function(){return"function"==typeof e?e(o):{...o,...e}},[o,e])}function c(e){let o;return o=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:l(e.components),n.createElement(s.Provider,{value:o},e.children)}},96057:(e,o,t)=>{t.r(o),t.d(o,{CH:()=>i,assets:()=>p,chCodeConfig:()=>d,contentTitle:()=>a,default:()=>y,frontMatter:()=>c,metadata:()=>n,toc:()=>h});const n=JSON.parse('{"id":"Deployment/deployment-public-server","title":"Deploy a public Langflow server","description":"By default, your Langflow server at http7860 isn\'t exposed to the public internet.","source":"@site/docs/Deployment/deployment-public-server.mdx","sourceDirName":"Deployment","slug":"/deployment-public-server","permalink":"/deployment-public-server","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"title":"Deploy a public Langflow server","slug":"/deployment-public-server"},"sidebar":"docs","previous":{"title":"Langflow deployment overview","permalink":"/deployment-overview"},"next":{"title":"Containerize a Langflow application","permalink":"/develop-application"}}');var r=t(74848),s=t(28453),l=t(24754);const c={title:"Deploy a public Langflow server",slug:"/deployment-public-server"},a=void 0,p={},i={annotations:l.hk,Code:l.Cy},d={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},h=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Expose your Langflow server with ngrok",id:"expose-your-langflow-server-with-ngrok",level:2},{value:"Use a public Langflow server",id:"use-a-public-langflow-server",level:2},{value:"Deploy your MCP server externally",id:"deploy-your-mcp-server-externally",level:3},{value:"Serve API requests",id:"serve-api-requests",level:3},{value:"Share a flow&#39;s Playground",id:"share-a-flows-playground",level:3}];function u(e){const o={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",strong:"strong",...(0,s.R)(),...e.components};return i||g("CH",!1),i.Code||g("CH.Code",!0),(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n",(0,r.jsxs)(o.p,{children:["By default, your Langflow server at ",(0,r.jsx)(o.code,{children:"http://localhost:7860"})," isn't exposed to the public internet.\nHowever, you can forward Langflow server traffic with a forwarding platform like ",(0,r.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/",children:"ngrok"})," or ",(0,r.jsx)(o.a,{href:"https://docs.zrok.io/docs/getting-started",children:"zrok"})," to make your server public."]}),"\n",(0,r.jsxs)(o.p,{children:["When your Langflow server is public, you can do things like ",(0,r.jsx)(o.a,{href:"#deploy-your-mcp-server-externally",children:"deploy your Langflow MCP server externally"}),", ",(0,r.jsx)(o.a,{href:"#serve-api-requests",children:"serve API requests"}),", and ",(0,r.jsxs)(o.a,{href:"#share-a-flows-playground",children:["share a flow's ",(0,r.jsx)(o.strong,{children:"Playground"})," publicly"]}),"."]}),"\n",(0,r.jsx)(o.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsxs)(o.p,{children:["On the machine where you plan to host your Langflow installation, ",(0,r.jsx)(o.a,{href:"/get-started-installation",children:"install Langflow"})," and a reverse proxy or forwarding service."]}),"\n",(0,r.jsx)(o.p,{children:"This guide uses ngrok, but you can use any similar reverse proxy or forwarding platform."}),"\n",(0,r.jsxs)(o.p,{children:["If you want to follow along with this guide, ",(0,r.jsx)(o.a,{href:"https://ngrok.com/docs/getting-started/#1-install-ngrok",children:"install ngrok"})," and ",(0,r.jsx)(o.a,{href:"https://dashboard.ngrok.com/get-started/your-authtoken",children:"create an ngrok authtoken"}),"."]}),"\n",(0,r.jsx)(o.h2,{id:"expose-your-langflow-server-with-ngrok",children:"Expose your Langflow server with ngrok"}),"\n",(0,r.jsxs)(o.ol,{children:["\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:"Start Langflow:"}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"run langflow run",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:"In another terminal window, use your ngrok authtoken to authenticate your local ngrok server:"}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"config add-authtoken NGROK_AUTHTOKEN",props:{style:{color:"#A5D6FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n"]}),"\n",(0,r.jsxs)(o.li,{children:["\n",(0,r.jsx)(o.p,{children:"Use ngrok to expose your Langflow server to the public internet:"}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"ngrok ",props:{style:{color:"#FFA657"}}},{content:"http http://localhost:",props:{style:{color:"#A5D6FF"}}},{content:"7860",props:{style:{color:"#79C0FF"}}}]}],lang:"bash"},annotations:[]}]}),"\n",(0,r.jsxs)(o.p,{children:["This example assumes that you use the default Langflow listening address at ",(0,r.jsx)(o.code,{children:"http://localhost:7860"}),". If you have a different listening address, you must modify this command accordingly."]}),"\n",(0,r.jsxs)(o.p,{children:["The ngrok session starts in your terminal and deploys an ephemeral domain with no authentication.\nTo add authentication or deploy a static domain, see the ",(0,r.jsx)(o.a,{href:"https://ngrok.com/docs/",children:"ngrok documentation"}),"."]}),"\n",(0,r.jsxs)(o.p,{children:["The ",(0,r.jsx)(o.code,{children:"Forwarding"})," line prints the forwarding address for your Langflow server:"]}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Forwarding https://94b1-76-64-171-14.ngrok-free.app -> http://localhost:7860",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,r.jsx)(o.p,{children:"The forwarding address acts as a reverse proxy for your Langflow server, and ngrok forwards your local traffic to this 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",(0,r.jsxs)(o.a,{href:"/concepts-publish",children:[(0,r.jsx)(o.strong,{children:"API access"})," pane"]})," automatically use your public server's domain."]})}),"\n",(0,r.jsxs)(o.p,{children:["You also use your public domain when making Langflow API calls in scripts, including the code snippets that are automatically generated by Langflow.\nFor example, the following code snippet calls an ngrok domain to trigger the specified flow (",(0,r.jsx)(o.code,{children:"d764c4b8..."}),"):"]}),"\n",(0,r.jsx)(i.Code,{codeConfig:d,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"url ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"https://3f7c-73-64-93-151.ngrok-free.app/api/v1/run/d764c4b8-5cec-4c0f-9de0-4b419b11901a"  ',props:{style:{color:"#A5D6FF"}}},{content:"# The complete API endpoint URL for this flow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request payload configuration",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "output_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_value"',props:{style:{color:"#A5D6FF"}}},{content:": 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In this example, the default OpenAI model provides a vague response, although the agent does know the current date by using its internal ",(0,s.jsx)(t.code,{children:"get_current_date"})," function."]}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Today is July 11, 2025.",props:{}}]},{tokens:[{content:"To determine if it's safe to go hiking in the Adirondacks today, you should check the current weather conditions, trail advisories, and any local alerts (such as bear activity or flooding).",props:{}}]},{tokens:[{content:"Would you like a detailed weather forecast or information on trail conditions for the Adirondacks today?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"To improve the response, you can connect MCP servers to your flow that provide specialized tools for the agent to use when generating responses. In the next part of this tutorial, you'll connect an MCP server that provides the agent with real-time weather information so that it can generate a more specific response."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"add-an-mcp-tools-component",children:"Add an MCP Tools component"}),"\n",(0,s.jsx)(t.p,{children:"There are many MCP servers available online that offer different tools for different tasks.\nTo use an MCP server with an MCP client, you have to make the server available to the client.\nWith all MCP clients, there are several ways to do this:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Install the server locally."}),"\n",(0,s.jsxs)(t.li,{children:["Use ",(0,s.jsx)(t.code,{children:"uvx"})," or ",(0,s.jsx)(t.code,{children:"npx"})," to fetch and run a server package."]}),"\n",(0,s.jsx)(t.li,{children:"Call a server running remotely, like those available on Smithery."}),"\n"]}),"\n",(0,s.jsxs)(t.p,{children:["This tutorial demonstrates how to install a weather server locally with ",(0,s.jsx)(t.code,{children:"uv pip install"}),", and how to use ",(0,s.jsx)(t.code,{children:"npx"})," to run the geolocation server package.\nYour particular MCP server's requirements may vary."]}),"\n",(0,s.jsxs)(t.p,{children:["In Langflow, you use the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component to connect a specific MCP server to a flow.\nYou need one ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component for each MCP server that you want your flow to use."]}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For this tutorial, install a ",(0,s.jsx)(t.a,{href:"https://github.com/isdaniel/mcp_weather_server",children:"weather MCP server"})," on your local machine with uv and Python:"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"pip install mcp_weather_server",props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"Make sure you install the server in the same Python environment where Langflow is running:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Langflow in a virtual environment: Activate the environment before installing the server."}),"\n",(0,s.jsx)(t.li,{children:"Langflow Docker image: Install the server inside the Docker container."}),"\n",(0,s.jsx)(t.li,{children:"Langflow Desktop or system-wide Langflow OSS: Install the server globally or in the same user environment where you run Langflow."}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In your ",(0,s.jsx)(t.strong,{children:"Simple agent"})," flow, remove the ",(0,s.jsx)(t.strong,{children:"URL"})," and ",(0,s.jsx)(t.strong,{children:"Calculator"})," tools, and then add the ",(0,s.jsx)(t.a,{href:"/mcp-client",children:(0,s.jsx)(t.strong,{children:"MCP Tools"})})," component to your workspace."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, and then click ",(0,s.jsx)(c.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Add MCP Server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In the ",(0,s.jsx)(t.strong,{children:"Add MCP Server"})," pane, provide the server startup command and arguments to connect the weather MCP server to your flow. For this tutorial, use either the ",(0,s.jsx)(t.strong,{children:"JSON"})," or ",(0,s.jsx)(t.strong,{children:"STDIO"})," option."]}),"\n",(0,s.jsx)(t.p,{children:"Langflow runs the command to launch the server when the agent determines that it needs to use a tool provided by that server."}),"\n",(0,s.jsx)(t.p,{children:"Notice that both configurations provide the same information but in different formats.\nThis means that if your MCP server repository only provides a JSON file for the server, you can still use those values with the STDIO option."}),"\n",(0,s.jsxs)(a.A,{children:[(0,s.jsxs)(i.A,{value:"JSON",label:"JSON",default:!0,children:[(0,s.jsxs)(t.p,{children:["To provide the MCP server configuration as a JSON object, select ",(0,s.jsx)(t.strong,{children:"JSON"}),", and then paste the server configuration into the ",(0,s.jsx)(t.strong,{children:"JSON"})," field:"]}),(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "weather"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"python"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "-m"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp_weather_server"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "disabled"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "autoApprove"',props:{style:{color:"#7EE787"}}},{content:": []",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),(0,s.jsxs)(i.A,{value:"STDIO",label:"STDIO",children:[(0,s.jsxs)(t.p,{children:["To provide the MCP server configuration in a GUI format, select ",(0,s.jsx)(t.strong,{children:"STDIO"}),", and then enter the MCP server configuration values into the given fields:"]}),(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Name"}),": ",(0,s.jsx)(t.code,{children:"weather"})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Command"}),": ",(0,s.jsx)(t.code,{children:"python"})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Arguments"}),":","\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"-m"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"mcp_weather_server"})}),"\n"]}),"\n"]}),"\n"]})]})]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click ",(0,s.jsx)(t.strong,{children:"Add Server"}),", and then wait for the ",(0,s.jsx)(t.strong,{children:"Actions"})," list to populate. This means that the MCP server successfully connected."]}),"\n",(0,s.jsxs)(t.p,{children:["With this weather server, the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component also adds an optional ",(0,s.jsx)(t.strong,{children:"City"})," field.\nFor this tutorial, don't enter anything in this field.\nInstead, you will add a geolocation MCP server in the next step, which the agent will use to detect your location."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, enable ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," in the ",(0,s.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then connect the component's ",(0,s.jsx)(t.strong,{children:"Toolset"})," port to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,s.jsx)(t.p,{children:"At this point your flow has four connected components:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"Chat Input"})," component is connected to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Input"})," port. This allows to flow to be triggered by an incoming prompt from a user or application."]}),"\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component with the weather MCP server is connected to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port. The agent may not use this server for every request; the agent only uses this connection if it decides the server can help respond to the prompt."]}),"\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Output"})," port is connected to the ",(0,s.jsx)(t.strong,{children:"Chat Output"})," component, which returns the final response to the user or application."]}),"\n"]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"An agent component connected to an MCP weather server",src:o(14075).A+"",width:"4000",height:"2282"})}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["To test the weather MCP server, click ",(0,s.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Playground"}),", and then ask the LLM ",(0,s.jsx)(t.code,{children:"Is it safe to go hiking in the Adirondacks today?"})]}),"\n",(0,s.jsxs)(t.p,{children:["The  ",(0,s.jsx)(t.strong,{children:"Playground"})," shows you the agent's logic as it analyzes the request and select tools to use."]}),"\n",(0,s.jsx)(t.p,{children:"Ideally, the agent's response will be more specific than the previous response because of the additional context provided by the weather MCP server.\nFor example:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"The current weather in Lake Placid, a central location in the Adirondacks,",props:{}}]},{tokens:[{content:"is foggy with a temperature of 17.2\xb0C (about 63\xb0F).",props:{}}]},{tokens:[{content:"If you plan to go hiking today, be cautious as fog can reduce visibility",props:{}}]},{tokens:[{content:"on trails and make navigation more difficult.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"This is a better response, but what makes this MCP server more valuable than just calling a weather API?"}),"\n",(0,s.jsx)(t.p,{children:"First, MCP servers are often customized for specific tasks, such as highly specialized actions or chained tools for complex, multi-step problem solving.\nTypically, you would have to write a custom script for a specific task, possibly including multiple API calls in a single script, and then you would have to either execute this script outside the context of the agent or provide it to your agent in some way."}),"\n",(0,s.jsx)(t.p,{children:"Instead, the MCP ensures that all MCP servers are added to agents in the same way, without having to know each server's specific endpoint structures or write custom integrations.\nThe MCP is a standardized way to integrate many diverse tools into agentic applications.\nYou don't have to learn a new API or write custom code every time you want to use a new MCP server."}),"\n",(0,s.jsxs)(t.p,{children:["Additionally, you can attach many MCP servers to one agent, depending on the problems you want your application to solve.\nThe more servers you add, the more specialized context the agent can use in its responses.\nIn this tutorial, adding the weather MCP server already improved the quality of the LLM's response.\nIn the next section of the tutorial, you will add a ",(0,s.jsx)(t.code,{children:"ip_geolocation"})," MCP server so the agent can detect the user's location if they don't specify a location in their prompt."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"add-a-geolocation-server",children:"Add a geolocation server"}),"\n",(0,s.jsxs)(t.p,{children:["The ",(0,s.jsx)(t.a,{href:"https://github.com/cyanheads/toolkit-mcp-server",children:"Toolkit MCP server"})," includes multiple MCP tools for network monitoring, including IP geolocation. It isn't extremely precise, but it doesn't require an API key."]}),"\n",(0,s.jsx)(t.p,{children:"Note that this tool returns the IP geolocation of your Langflow server, so if your server is deployed remotely, consider alternative approaches for getting user-specific location data, such as browser geolocation APIs."}),"\n",(0,s.jsxs)(t.p,{children:["This MCP server can be started with one ",(0,s.jsx)(t.a,{href:"https://docs.npmjs.com/cli/v8/commands/npx",children:"npx"})," command, which downloads and runs the ",(0,s.jsx)(t.a,{href:"https://www.npmjs.com/package/@cyanheads/toolkit-mcp-server",children:"Toolkit MCP server Node registry package"})," without installing the package locally."]}),"\n",(0,s.jsx)(t.p,{children:"To add the Toolkip MCP server to your flow, do the following:"}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Add another ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component to your flow, click the component, and then click ",(0,s.jsx)(c.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Add MCP Server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Select ",(0,s.jsx)(t.strong,{children:"STDIO"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For ",(0,s.jsx)(t.strong,{children:"Name"}),", enter ",(0,s.jsx)(t.code,{children:"ip_geolocation"}),"."]}),"\n",(0,s.jsx)(t.admonition,{type:"tip",children:(0,s.jsx)(t.p,{children:"The tool name and description help the agent select tools.\nIf your agent is struggling to select tools, make sure the names and descriptions are clear and human-readable."})}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For ",(0,s.jsx)(t.strong,{children:"Command"}),", enter ",(0,s.jsx)(t.code,{children:"npx @cyanheads/toolkit-mcp-server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click ",(0,s.jsx)(t.strong,{children:"Add Server"}),", and then wait for the ",(0,s.jsx)(t.strong,{children:"Actions"})," list to populate. This means that the MCP server successfully connected."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, enable ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," in the ",(0,s.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then connect the component's ",(0,s.jsx)(t.strong,{children:"Toolset"})," port to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,s.jsxs)(t.p,{children:["Your flow now has an additional ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component for a total of five components."]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"An agent component connected to MCP weather and geolocation servers",src:o(80821).A+"",width:"1936",height:"1410"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"create-a-python-application-that-connects-to-langflow",children:"Create a Python application that connects to Langflow"}),"\n",(0,s.jsxs)(t.p,{children:["At this point, you can open the ",(0,s.jsx)(t.strong,{children:"Playground"})," and ask about the weather in your current location to test the IP geolocation tool.\nHowever, geolocation tools are most useful in applications where you or your users want to ask about the weather from different places around the world."]}),"\n",(0,s.jsx)(t.p,{children:"In the last part of this tutorial, you'll learn how to use the Langflow API to run a flow in a script.\nThis could be part of a larger application, such as a mobile app where users want to know if the weather is good for a particular sport."}),"\n",(0,s.jsx)(t.p,{children:"When you use the Langflow API to run a flow, you can change some aspects of the flow without changing the code.\nFor example, you can add more MCP servers to your flow in Langflow, and then use the same script to run the flow.\nYou can use the same input or a new input that prompts the agent to use other tools."}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"For this tutorial's Python script, gather the following information:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(t.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(t.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Copy the following script into a Python file, and then replace the placeholders with the information you gathered in the previous step:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" os",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"url ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"  ',props:{style:{color:"#A5D6FF"}}},{content:"# The complete API endpoint URL for this flow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request payload configuration",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "output_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_value"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"What\'s the weather like where I am right now?"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request headers",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"headers ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "Content-Type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"application/json"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "x-api-key"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"LANGFLOW_API_KEY"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"try",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    # Send API request",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"    response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.request(",props:{style:{color:"#C9D1D9"}}},{content:'"POST"',props:{style:{color:"#A5D6FF"}}},{content:", url, ",props:{style:{color:"#C9D1D9"}}},{content:"json",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"payload, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"headers)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    response.raise_for_status()  ",props:{style:{color:"#C9D1D9"}}},{content:"# Raise exception for bad status codes",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    # Parse and print only the message text",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"    data ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" response.json()",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    message ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" 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If you want to use a different provider, you need a valid credential for that provider."}),"\n",(0,s.jsx)(t.h2,{id:"create-an-agentic-flow",children:"Create an agentic flow"}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In Langflow, click ",(0,s.jsx)(t.strong,{children:"New Flow"}),", and then select the ",(0,s.jsx)(t.a,{href:"/simple-agent",children:(0,s.jsx)(t.strong,{children:"Simple agent"})})," template."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In the ",(0,s.jsx)(t.strong,{children:"Agent"})," component, enter your OpenAI API key."]}),"\n",(0,s.jsxs)(t.p,{children:["If you want to use a different provider or model, edit the ",(0,s.jsx)(t.strong,{children:"Model Provider"}),", ",(0,s.jsx)(t.strong,{children:"Model Name"}),", and ",(0,s.jsx)(t.strong,{children:"API Key"})," fields accordingly."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["To test the flow, click ",(0,s.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Playground"}),", and then ask the LLM ",(0,s.jsx)(t.code,{children:"Is it safe to go hiking in the Adirondacks today?"})]}),"\n",(0,s.jsxs)(t.p,{children:["This query demonstrates how an LLM, by itself, might not have access to information or functions designed to address specialized queries. In this example, the default OpenAI model provides a vague response, although the agent does know the current date by using its internal ",(0,s.jsx)(t.code,{children:"get_current_date"})," function."]}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"Today is July 11, 2025.",props:{}}]},{tokens:[{content:"To determine if it's safe to go hiking in the Adirondacks today, you should check the current weather conditions, trail advisories, and any local alerts (such as bear activity or flooding).",props:{}}]},{tokens:[{content:"Would you like a detailed weather forecast or information on trail conditions for the Adirondacks today?",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"To improve the response, you can connect MCP servers to your flow that provide specialized tools for the agent to use when generating responses. In the next part of this tutorial, you'll connect an MCP server that provides the agent with real-time weather information so that it can generate a more specific response."}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"add-an-mcp-tools-component",children:"Add an MCP Tools component"}),"\n",(0,s.jsx)(t.p,{children:"There are many MCP servers available online that offer different tools for different tasks.\nTo use an MCP server with an MCP client, you have to make the server available to the client.\nWith all MCP clients, there are several ways to do this:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Install the server locally."}),"\n",(0,s.jsxs)(t.li,{children:["Use ",(0,s.jsx)(t.code,{children:"uvx"})," or ",(0,s.jsx)(t.code,{children:"npx"})," to fetch and run a server package."]}),"\n",(0,s.jsx)(t.li,{children:"Call a server running remotely, like those available on Smithery."}),"\n"]}),"\n",(0,s.jsxs)(t.p,{children:["This tutorial demonstrates how to install a weather server locally with ",(0,s.jsx)(t.code,{children:"uv pip install"}),", and how to use ",(0,s.jsx)(t.code,{children:"npx"})," to run the geolocation server package.\nYour particular MCP server's requirements may vary."]}),"\n",(0,s.jsxs)(t.p,{children:["In Langflow, you use the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component to connect a specific MCP server to a flow.\nYou need one ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component for each MCP server that you want your flow to use."]}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For this tutorial, install a ",(0,s.jsx)(t.a,{href:"https://github.com/isdaniel/mcp_weather_server",children:"weather MCP server"})," on your local machine with uv and Python:"]}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"uv ",props:{style:{color:"#FFA657"}}},{content:"pip install mcp_weather_server",props:{style:{color:"#A5D6FF"}}}]}],lang:"shell"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"Make sure you install the server in the same Python environment where Langflow is running:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:"Langflow in a virtual environment: Activate the environment before installing the server."}),"\n",(0,s.jsx)(t.li,{children:"Langflow Docker image: Install the server inside the Docker container."}),"\n",(0,s.jsx)(t.li,{children:"Langflow Desktop or system-wide Langflow OSS: Install the server globally or in the same user environment where you run Langflow."}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In your ",(0,s.jsx)(t.strong,{children:"Simple agent"})," flow, remove the ",(0,s.jsx)(t.strong,{children:"URL"})," and ",(0,s.jsx)(t.strong,{children:"Calculator"})," tools, and then add the ",(0,s.jsx)(t.a,{href:"/mcp-client",children:(0,s.jsx)(t.strong,{children:"MCP Tools"})})," component to your workspace."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, and then click ",(0,s.jsx)(c.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Add MCP Server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["In the ",(0,s.jsx)(t.strong,{children:"Add MCP Server"})," pane, provide the server startup command and arguments to connect the weather MCP server to your flow. For this tutorial, use either the ",(0,s.jsx)(t.strong,{children:"JSON"})," or ",(0,s.jsx)(t.strong,{children:"STDIO"})," option."]}),"\n",(0,s.jsx)(t.p,{children:"Langflow runs the command to launch the server when the agent determines that it needs to use a tool provided by that server."}),"\n",(0,s.jsx)(t.p,{children:"Notice that both configurations provide the same information but in different formats.\nThis means that if your MCP server repository only provides a JSON file for the server, you can still use those values with the STDIO option."}),"\n",(0,s.jsxs)(i.A,{children:[(0,s.jsxs)(a.A,{value:"JSON",label:"JSON",default:!0,children:[(0,s.jsxs)(t.p,{children:["To provide the MCP server configuration as a JSON object, select ",(0,s.jsx)(t.strong,{children:"JSON"}),", and then paste the server configuration into the ",(0,s.jsx)(t.strong,{children:"JSON"})," field:"]}),(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"{",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'  "mcpServers"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "weather"',props:{style:{color:"#7EE787"}}},{content:": {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "command"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"python"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "args"',props:{style:{color:"#7EE787"}}},{content:": [",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "-m"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'        "mcp_weather_server"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"      ],",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "disabled"',props:{style:{color:"#7EE787"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:"false",props:{style:{color:"#79C0FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'      "autoApprove"',props:{style:{color:"#7EE787"}}},{content:": []",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"  }",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]}],lang:"json"},annotations:[]}]})]}),(0,s.jsxs)(a.A,{value:"STDIO",label:"STDIO",children:[(0,s.jsxs)(t.p,{children:["To provide the MCP server configuration in a GUI format, select ",(0,s.jsx)(t.strong,{children:"STDIO"}),", and then enter the MCP server configuration values into the given fields:"]}),(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Name"}),": ",(0,s.jsx)(t.code,{children:"weather"})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Command"}),": ",(0,s.jsx)(t.code,{children:"python"})]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.strong,{children:"Arguments"}),":","\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"-m"})}),"\n",(0,s.jsx)(t.li,{children:(0,s.jsx)(t.code,{children:"mcp_weather_server"})}),"\n"]}),"\n"]}),"\n"]})]})]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click ",(0,s.jsx)(t.strong,{children:"Add Server"}),", and then wait for the ",(0,s.jsx)(t.strong,{children:"Actions"})," list to populate. This means that the MCP server successfully connected."]}),"\n",(0,s.jsxs)(t.p,{children:["With this weather server, the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component also adds an optional ",(0,s.jsx)(t.strong,{children:"City"})," field.\nFor this tutorial, don't enter anything in this field.\nInstead, you will add a geolocation MCP server in the next step, which the agent will use to detect your location."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, enable ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," in the ",(0,s.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then connect the component's ",(0,s.jsx)(t.strong,{children:"Toolset"})," port to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,s.jsx)(t.p,{children:"At this point your flow has four connected components:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"Chat Input"})," component is connected to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Input"})," port. This allows to flow to be triggered by an incoming prompt from a user or application."]}),"\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component with the weather MCP server is connected to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port. The agent may not use this server for every request; the agent only uses this connection if it decides the server can help respond to the prompt."]}),"\n",(0,s.jsxs)(t.li,{children:["The ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Output"})," port is connected to the ",(0,s.jsx)(t.strong,{children:"Chat Output"})," component, which returns the final response to the user or application."]}),"\n"]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"An agent component connected to an MCP weather server",src:o(14075).A+"",width:"4000",height:"2282"})}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["To test the weather MCP server, click ",(0,s.jsx)(c.A,{name:"Play","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Playground"}),", and then ask the LLM ",(0,s.jsx)(t.code,{children:"Is it safe to go hiking in the Adirondacks today?"})]}),"\n",(0,s.jsxs)(t.p,{children:["The  ",(0,s.jsx)(t.strong,{children:"Playground"})," shows you the agent's logic as it analyzes the request and select tools to use."]}),"\n",(0,s.jsx)(t.p,{children:"Ideally, the agent's response will be more specific than the previous response because of the additional context provided by the weather MCP server.\nFor example:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"The current weather in Lake Placid, a central location in the Adirondacks,",props:{}}]},{tokens:[{content:"is foggy with a temperature of 17.2\xb0C (about 63\xb0F).",props:{}}]},{tokens:[{content:"If you plan to go hiking today, be cautious as fog can reduce visibility",props:{}}]},{tokens:[{content:"on trails and make navigation more difficult.",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,s.jsx)(t.p,{children:"This is a better response, but what makes this MCP server more valuable than just calling a weather API?"}),"\n",(0,s.jsx)(t.p,{children:"First, MCP servers are often customized for specific tasks, such as highly specialized actions or chained tools for complex, multi-step problem solving.\nTypically, you would have to write a custom script for a specific task, possibly including multiple API calls in a single script, and then you would have to either execute this script outside the context of the agent or provide it to your agent in some way."}),"\n",(0,s.jsx)(t.p,{children:"Instead, the MCP ensures that all MCP servers are added to agents in the same way, without having to know each server's specific endpoint structures or write custom integrations.\nThe MCP is a standardized way to integrate many diverse tools into agentic applications.\nYou don't have to learn a new API or write custom code every time you want to use a new MCP server."}),"\n",(0,s.jsxs)(t.p,{children:["Additionally, you can attach many MCP servers to one agent, depending on the problems you want your application to solve.\nThe more servers you add, the more specialized context the agent can use in its responses.\nIn this tutorial, adding the weather MCP server already improved the quality of the LLM's response.\nIn the next section of the tutorial, you will add a ",(0,s.jsx)(t.code,{children:"ip_geolocation"})," MCP server so the agent can detect the user's location if they don't specify a location in their prompt."]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"add-a-geolocation-server",children:"Add a geolocation server"}),"\n",(0,s.jsxs)(t.p,{children:["The ",(0,s.jsx)(t.a,{href:"https://github.com/cyanheads/toolkit-mcp-server",children:"Toolkit MCP server"})," includes multiple MCP tools for network monitoring, including IP geolocation. It isn't extremely precise, but it doesn't require an API key."]}),"\n",(0,s.jsx)(t.p,{children:"Note that this tool returns the IP geolocation of your Langflow server, so if your server is deployed remotely, consider alternative approaches for getting user-specific location data, such as browser geolocation APIs."}),"\n",(0,s.jsxs)(t.p,{children:["This MCP server can be started with one ",(0,s.jsx)(t.a,{href:"https://docs.npmjs.com/cli/v8/commands/npx",children:"npx"})," command, which downloads and runs the ",(0,s.jsx)(t.a,{href:"https://www.npmjs.com/package/@cyanheads/toolkit-mcp-server",children:"Toolkit MCP server Node registry package"})," without installing the package locally."]}),"\n",(0,s.jsx)(t.p,{children:"To add the Toolkip MCP server to your flow, do the following:"}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Add another ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component to your flow, click the component, and then click ",(0,s.jsx)(c.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(t.strong,{children:"Add MCP Server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Select ",(0,s.jsx)(t.strong,{children:"STDIO"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For ",(0,s.jsx)(t.strong,{children:"Name"}),", enter ",(0,s.jsx)(t.code,{children:"ip_geolocation"}),"."]}),"\n",(0,s.jsx)(t.admonition,{type:"tip",children:(0,s.jsx)(t.p,{children:"The tool name and description help the agent select tools.\nIf your agent is struggling to select tools, make sure the names and descriptions are clear and human-readable."})}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["For ",(0,s.jsx)(t.strong,{children:"Command"}),", enter ",(0,s.jsx)(t.code,{children:"npx @cyanheads/toolkit-mcp-server"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click ",(0,s.jsx)(t.strong,{children:"Add Server"}),", and then wait for the ",(0,s.jsx)(t.strong,{children:"Actions"})," list to populate. This means that the MCP server successfully connected."]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsxs)(t.p,{children:["Click the ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component, enable ",(0,s.jsx)(t.strong,{children:"Tool Mode"})," in the ",(0,s.jsx)(t.a,{href:"/concepts-components#component-menus",children:"component's header menu"}),", and then connect the component's ",(0,s.jsx)(t.strong,{children:"Toolset"})," port to the ",(0,s.jsx)(t.strong,{children:"Agent"})," component's ",(0,s.jsx)(t.strong,{children:"Tools"})," port."]}),"\n",(0,s.jsxs)(t.p,{children:["Your flow now has an additional ",(0,s.jsx)(t.strong,{children:"MCP Tools"})," component for a total of five components."]}),"\n",(0,s.jsx)(t.p,{children:(0,s.jsx)(t.img,{alt:"An agent component connected to MCP weather and geolocation servers",src:o(80821).A+"",width:"1936",height:"1410"})}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(t.h2,{id:"create-a-python-application-that-connects-to-langflow",children:"Create a Python application that connects to Langflow"}),"\n",(0,s.jsxs)(t.p,{children:["At this point, you can open the ",(0,s.jsx)(t.strong,{children:"Playground"})," and ask about the weather in your current location to test the IP geolocation tool.\nHowever, geolocation tools are most useful in applications where you or your users want to ask about the weather from different places around the world."]}),"\n",(0,s.jsx)(t.p,{children:"In the last part of this tutorial, you'll learn how to use the Langflow API to run a flow in a script.\nThis could be part of a larger application, such as a mobile app where users want to know if the weather is good for a particular sport."}),"\n",(0,s.jsx)(t.p,{children:"When you use the Langflow API to run a flow, you can change some aspects of the flow without changing the code.\nFor example, you can add more MCP servers to your flow in Langflow, and then use the same script to run the flow.\nYou can use the same input or a new input that prompts the agent to use other tools."}),"\n",(0,s.jsxs)(t.ol,{children:["\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"For this tutorial's Python script, gather the following information:"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_SERVER_ADDRESS"}),": Your Langflow server's domain. The default value is ",(0,s.jsx)(t.code,{children:"127.0.0.1:7860"}),". You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"FLOW_ID"}),": Your flow's UUID or custom endpoint name. You can get this value from the code snippets on your flow's ",(0,s.jsxs)(t.a,{href:"/concepts-publish#api-access",children:[(0,s.jsx)(t.strong,{children:"API access"})," pane"]}),"."]}),"\n",(0,s.jsxs)(t.li,{children:[(0,s.jsx)(t.code,{children:"LANGFLOW_API_KEY"}),": A valid Langflow API key. To create an API key, see ",(0,s.jsx)(t.a,{href:"/configuration-api-keys",children:"API keys"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(t.li,{children:["\n",(0,s.jsx)(t.p,{children:"Copy the following script into a Python file, and then replace the placeholders with the information you gathered in the previous step:"}),"\n",(0,s.jsx)(u.Code,{codeConfig:y,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" requests",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"import",props:{style:{color:"#FF7B72"}}},{content:" os",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"url ",props:{style:{color:"#C9D1D9"}}},{content:"= ",props:{style:{color:"#FF7B72"}}},{content:'"LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"  ',props:{style:{color:"#A5D6FF"}}},{content:"# The complete API endpoint URL for this flow",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request payload configuration",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"payload ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "output_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"chat"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "input_value"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"What\'s the weather like where I am right now?"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"# Request headers",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"headers ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" {",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "Content-Type"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"application/json"',props:{style:{color:"#A5D6FF"}}},{content:",",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:'    "x-api-key"',props:{style:{color:"#A5D6FF"}}},{content:": ",props:{style:{color:"#C9D1D9"}}},{content:'"LANGFLOW_API_KEY"',props:{style:{color:"#A5D6FF"}}}]},{tokens:[{content:"}",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"try",props:{style:{color:"#FF7B72"}}},{content:":",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    # Send API request",props:{style:{color:"#8B949E"}}}]},{tokens:[{content:"    response ",props:{style:{color:"#C9D1D9"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:" requests.request(",props:{style:{color:"#C9D1D9"}}},{content:'"POST"',props:{style:{color:"#A5D6FF"}}},{content:", url, ",props:{style:{color:"#C9D1D9"}}},{content:"json",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"payload, ",props:{style:{color:"#C9D1D9"}}},{content:"headers",props:{style:{color:"#FFA657"}}},{content:"=",props:{style:{color:"#FF7B72"}}},{content:"headers)",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    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print",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"f",props:{style:{color:"#FF7B72"}}},{content:'"Error parsing response: ',props:{style:{color:"#A5D6FF"}}},{content:"{",props:{style:{color:"#79C0FF"}}},{content:"e",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"except",props:{style:{color:"#FF7B72"}}},{content:" (",props:{style:{color:"#C9D1D9"}}},{content:"KeyError",props:{style:{color:"#79C0FF"}}},{content:", ",props:{style:{color:"#C9D1D9"}}},{content:"IndexError",props:{style:{color:"#79C0FF"}}},{content:") ",props:{style:{color:"#C9D1D9"}}},{content:"as",props:{style:{color:"#FF7B72"}}},{content:" e:",props:{style:{color:"#C9D1D9"}}}]},{tokens:[{content:"    print",props:{style:{color:"#79C0FF"}}},{content:"(",props:{style:{color:"#C9D1D9"}}},{content:"f",props:{style:{color:"#FF7B72"}}},{content:'"Error extracting message from response: ',props:{style:{color:"#A5D6FF"}}},{content:"{",props:{style:{color:"#79C0FF"}}},{content:"e",props:{style:{color:"#C9D1D9"}}},{content:"}",props:{style:{color:"#79C0FF"}}},{content:'"',props:{style:{color:"#A5D6FF"}}},{content:")",props:{style:{color:"#C9D1D9"}}}]}],lang:"python"},annotations:[]}]}),"\n",(0,s.jsxs)(t.p,{children:["Notice that this script uses a different prompt than the previous ",(0,s.jsx)(t.strong,{children:"Playground"})," examples.\nIn this script, the ",(0,s.jsx)(t.code,{children:"input_value"})," asks about the weather in the user's current location without providing any hints about the user's location, such as a particular city."]}),"\n",(0,s.jsx)(t.p,{children:"Additionally, this script includes parsing code to extract the LLM's reply from the entire Langflow API response.\nYou 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diff --git a/assets/js/runtime~main.679f183a.js b/assets/js/runtime~main.446c6220.js
similarity index 72%
rename from assets/js/runtime~main.679f183a.js
rename to assets/js/runtime~main.446c6220.js
index 97cae30d8a..6485b80c47 100644
--- a/assets/js/runtime~main.679f183a.js
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index 94cf7917e8..f6f492e51b 100644
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 <body class="navigation-with-keyboard">
@@ -55,8 +55,8 @@ The flow demonstrates how to chat with an LLM, and how modifying the prompt can
 <p>By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-the-basic-prompting-flow">Create the basic prompting flow<a href="#create-the-basic-prompting-flow" class="hash-link" aria-label="Direct link to Create the basic prompting flow" title="Direct link to Create the basic prompting flow">​</a></h2>
 <ol>
diff --git a/blog-writer.html b/blog-writer.html
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--- a/blog-writer.html
+++ b/blog-writer.html
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@@ -53,8 +53,8 @@
 <p>The <a href="/components-models">Language model</a> component uses this input to generate a blog post according to the <code>{instructions}</code> received by the <a href="/components-prompts">Prompt</a> component.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-the-blog-writer-flow">Create the blog writer flow<a href="#create-the-blog-writer-flow" class="hash-link" aria-label="Direct link to Create the blog writer flow" title="Direct link to Create the blog writer flow">​</a></h2>
 <ol>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/bundles-cloudflare.html b/bundles-cloudflare.html
index acb0180eaa..c875a89103 100644
--- a/bundles-cloudflare.html
+++ b/bundles-cloudflare.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-cohere.html b/bundles-cohere.html
index 149f4043a9..de670d93a6 100644
--- a/bundles-cohere.html
+++ b/bundles-cohere.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/bundles-datastax.html b/bundles-datastax.html
index a154c35b18..9cdd7c79fd 100644
--- a/bundles-datastax.html
+++ b/bundles-datastax.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -54,7 +54,8 @@
 <p>Chat memories are passed between memory storage components as the <a href="/data-types#memory"><code>Memory</code></a> data type.
 Specifically, the component creates an instance of <code>AstraDBChatMessageHistory</code>, which is a LangChain chat message history class that uses Astra DB for storage.</p>
 <div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>The <strong>Astra DB Chat Memory</strong> component isn&#x27;t recommended for most memory storage because memories tend to be long JSON objects or strings, often exceeding the maximum size of a document or object supported by Astra DB.</p><p>However, Langflow&#x27;s <strong>Agent</strong> and <strong>Language Model</strong> components include built-in chat memory that is enabled by default.
-Your flows don&#x27;t need an external database to store chat memory.</p></div></div>
+Your flows don&#x27;t need an external database to store chat memory.
+For more information, see <a href="/memory">Memory management options</a>.</p></div></div>
 <p>For more information about using external chat memory in flows, see the <a href="/components-helpers#message-history"><strong>Message History</strong> component</a>.</p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="astra-db-chat-memory-parameters">Astra DB Chat Memory parameters<a href="#astra-db-chat-memory-parameters" class="hash-link" aria-label="Direct link to Astra DB Chat Memory parameters" title="Direct link to Astra DB Chat Memory parameters">​</a></h3>
 <p>Some component input parameters are hidden by default in the visual editor.
diff --git a/bundles-deepseek.html b/bundles-deepseek.html
index a0b1d829c5..78ff8b3adc 100644
--- a/bundles-deepseek.html
+++ b/bundles-deepseek.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/bundles-duckduckgo.html b/bundles-duckduckgo.html
index d97d3e0313..628c4babe5 100644
--- a/bundles-duckduckgo.html
+++ b/bundles-duckduckgo.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-exa.html b/bundles-exa.html
index ceb105f229..681c432ee7 100644
--- a/bundles-exa.html
+++ b/bundles-exa.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-glean.html b/bundles-glean.html
index 57dcc9459a..51e7252079 100644
--- a/bundles-glean.html
+++ b/bundles-glean.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-google.html b/bundles-google.html
index 79c2f65dc0..ccd03b862b 100644
--- a/bundles-google.html
+++ b/bundles-google.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-groq.html b/bundles-groq.html
index 179224caee..f254221a6b 100644
--- a/bundles-groq.html
+++ b/bundles-groq.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-huggingface.html b/bundles-huggingface.html
index e610c48094..508cb785e6 100644
--- a/bundles-huggingface.html
+++ b/bundles-huggingface.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-ibm.html b/bundles-ibm.html
index 0a22270965..e83a1516b8 100644
--- a/bundles-ibm.html
+++ b/bundles-ibm.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-icosacomputing.html b/bundles-icosacomputing.html
index ef3ec03769..ac67ef7c76 100644
--- a/bundles-icosacomputing.html
+++ b/bundles-icosacomputing.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/bundles-langchain.html b/bundles-langchain.html
index c8dd228f2a..2a8ace0830 100644
--- a/bundles-langchain.html
+++ b/bundles-langchain.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/bundles-lmstudio.html b/bundles-lmstudio.html
index 622c7cc768..4820f44446 100644
--- a/bundles-lmstudio.html
+++ b/bundles-lmstudio.html
@@ -23,7 +23,7 @@
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diff --git a/chat-with-files.html b/chat-with-files.html
index 500f257e05..4b51dca12c 100644
--- a/chat-with-files.html
+++ b/chat-with-files.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
@@ -54,13 +54,13 @@
 <p>The main focus of this tutorial is to show you how to provide files as input to a Langflow flow, so your chatbot can use the content of those files in its responses.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="/configuration-api-keys">A Langflow API key</a></li>
-<li><a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create a <a href="/configuration-api-keys">Langflow API key</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <p>This tutorial uses an OpenAI LLM. If you want to use a different provider, you need a valid credential for that provider.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-a-flow-that-accepts-file-input">Create a flow that accepts file input<a href="#create-a-flow-that-accepts-file-input" class="hash-link" aria-label="Direct link to Create a flow that accepts file input" title="Direct link to Create a flow that accepts file input">​</a></h2>
-<p>To ingest files, your flow must have a <strong>File</strong> component attached to a component that receives input, such as a <strong>Prompt</strong> or <strong>Agent</strong> component.</p>
+<p>To ingest files, your flow must have a <strong>File</strong> component attached to a component that receives input, such as a <strong>Prompt Template</strong> or <strong>Agent</strong> component.</p>
 <p>The following steps modify the <a href="/basic-prompting"><strong>Basic prompting</strong></a> template to accept file input:</p>
 <ol>
 <li>
@@ -72,20 +72,20 @@
 </li>
 <li>
 <p>To verify that your API key is valid, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-play" aria-hidden="true"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Playground</strong>, and then ask the LLM a question.
-The LLM should respond according to the specifications in the <strong>Prompt</strong> component&#x27;s <strong>Template</strong> field.</p>
+The LLM should respond according to the specifications in the <strong>Prompt Template</strong> component&#x27;s <strong>Template</strong> field.</p>
 </li>
 <li>
-<p>Exit the <strong>Playground</strong>, and then modify the <strong>Prompt</strong> component to accept file input in addition to chat input.
+<p>Exit the <strong>Playground</strong>, and then modify the <strong>Prompt Template</strong> component to accept file input in addition to chat input.
 To do this, edit the <strong>Template</strong> field, and then replace the default prompt with the following text:</p>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>ChatInput:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>{chat-input}</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>File:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>{file}</span></div></div><br></code></div></div>
-<p>The <strong>Prompt</strong> component gets a new input port for each value in curly braces. At this point, your <strong>Prompt</strong> component should have <strong>chat-input</strong> and <strong>file</strong> input ports.</p>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>Within the curly braces, you can use any port name you like. For this tutorial, the ports are named after the components that connect to them.</p></div></div>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>You can use any string to name your template variables.
+These strings become the names of the fields (input ports) on the <strong>Prompt Template</strong> component.</p><p>For this tutorial, the variables are named after the components that connect to them: <strong>chat-input</strong> for the <strong>Chat Input</strong> component and <strong>file</strong> for the <strong>File</strong> component.</p></div></div>
 </li>
 <li>
-<p>Add a <a href="/components-data#file">File component</a> to the flow, and then connect the <strong>Raw Content</strong> output port to the Prompt component&#x27;s <strong>file</strong> input port.
+<p>Add a <a href="/components-data#file"><strong>File</strong> component</a> to the flow, and then connect the <strong>Raw Content</strong> output port to the <strong>Prompt Template</strong> component&#x27;s <strong>file</strong> input port.
 To connect ports, click and drag from one port to the other.</p>
 <p>You can add files directly to the file component to pre-load input before running the flow, or you can load files at runtime. The next section of this tutorial covers runtime file uploads.</p>
-<p>At this point your flow has five components. The Chat Input and File components are connected to the Prompt component&#x27;s input ports. Then, the Prompt component&#x27;s output port is connected to the Language Model component&#x27;s input port. Finally, the Language Model component&#x27;s output port is connected to the Chat Output component, which returns the final response to the user.</p>
+<p>At this point your flow has five components. The Chat Input and File components are connected to the <strong>Prompt Template</strong> component&#x27;s input ports. Then, the <strong>Prompt Template</strong> component&#x27;s output port is connected to the Language Model component&#x27;s input port. Finally, the Language Model component&#x27;s output port is connected to the Chat Output component, which returns the final response to the user.</p>
 <p><img decoding="async" loading="lazy" alt="File loader chat flow" src="/assets/images/tutorial-chat-file-loader-099f2f4c5e4343412557b1a78c4b9209.png" width="4000" height="1564" class="img_ev3q"></p>
 </li>
 </ol>
diff --git a/chat-with-rag.html b/chat-with-rag.html
index dab53b2aeb..aa5b8ecd7a 100644
--- a/chat-with-rag.html
+++ b/chat-with-rag.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -52,11 +52,11 @@
 <p>This tutorial demonstrates how you can use Langflow to create a chatbot application that uses Retrieval Augmented Generation (RAG) to embed your data as vectors in a vector database, and then chat with the data.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="/configuration-api-keys">A Langflow API key</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
-<li><a href="/typescript-client">Langflow JavaScript client installed</a></li>
-<li>Familiarity with vector search concepts and applications, such as <a href="https://www.datastax.com/guides/what-is-a-vector-database" target="_blank" rel="noopener noreferrer">vector databases</a> and <a href="https://www.datastax.com/guides/what-is-retrieval-augmented-generation" target="_blank" rel="noopener noreferrer">RAG</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create a <a href="/configuration-api-keys">Langflow API key</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
+<li>Install the <a href="/typescript-client">Langflow JavaScript client</a></li>
+<li>Be familiar with vector search concepts and applications, such as <a href="https://www.datastax.com/guides/what-is-a-vector-database" target="_blank" rel="noopener noreferrer">vector databases</a> and <a href="https://www.datastax.com/guides/what-is-retrieval-augmented-generation" target="_blank" rel="noopener noreferrer">RAG</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-a-vector-rag-flow">Create a vector RAG flow<a href="#create-a-vector-rag-flow" class="hash-link" aria-label="Direct link to Create a vector RAG flow" title="Direct link to Create a vector RAG flow">​</a></h2>
 <ol>
diff --git a/components-agents.html b/components-agents.html
index f6d3894815..3f765fd8a6 100644
--- a/components-agents.html
+++ b/components-agents.html
@@ -23,7 +23,7 @@
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diff --git a/components-bundle-components.html b/components-bundle-components.html
index 307915462c..a4a56fcf32 100644
--- a/components-bundle-components.html
+++ b/components-bundle-components.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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diff --git a/components-custom-components.html b/components-custom-components.html
index de307234e5..95e0664266 100644
--- a/components-custom-components.html
+++ b/components-custom-components.html
@@ -23,7 +23,7 @@
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+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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diff --git a/components-data.html b/components-data.html
index 61b114631e..3d488a19af 100644
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+++ b/components-data.html
@@ -3,7 +3,7 @@
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-<title data-rh="true">Data | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/components-data"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Data | Langflow Documentation"><meta data-rh="true" name="description" content="You can use Langflow&#x27;s data components to bring data into your flows from various sources like files, API endpoints, and URLs."><meta data-rh="true" property="og:description" content="You can use Langflow&#x27;s data components to bring data into your flows from various sources like files, API endpoints, and URLs."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/components-data"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/components-data" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/components-data" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Data","item":"https://docs.langflow.org/components-data"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
+<title data-rh="true">Data | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/components-data"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Data | Langflow Documentation"><meta data-rh="true" name="description" content="You can use Langflow&#x27;s Data components to bring data into your flows from various sources like files, API endpoints, and URLs."><meta data-rh="true" property="og:description" content="You can use Langflow&#x27;s Data components to bring data into your flows from various sources like files, API endpoints, and URLs."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/components-data"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/components-data" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/components-data" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Data","item":"https://docs.langflow.org/components-data"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
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@@ -49,7 +49,7 @@
         </a>
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Components reference</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Core components</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Data</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Data</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
-<p>You can use Langflow&#x27;s data components to bring data into your flows from various sources like files, API endpoints, and URLs.
+<p>You can use Langflow&#x27;s <strong>Data</strong> components to bring data into your flows from various sources like files, API endpoints, and URLs.
 For example:</p>
 <ul>
 <li>
@@ -69,7 +69,7 @@ For example:</p>
 Some components are a minimal wrapper for a command that you provide, and others include built-in scripts to fetch and process data based on variable inputs.
 Additionally, some components return raw data, whereas others can convert, restructure, or validate the data before outputting it.
 This means that some similar components might produce different results.</p>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>Data components pair well with <a href="/components-processing">processing components</a> that can perform additional parsing, transformation, and validation after retrieving the data.</p><p>This can include basic operations, like saving a file in a specific format, or more complex tasks, like using a <strong>Text Splitter</strong> component to break down a large document into smaller chunks before generating embeddings for vector search.</p></div></div>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p><strong>Data</strong> components pair well with <a href="/components-processing"><strong>Processing</strong> components</a> that can perform additional parsing, transformation, and validation after retrieving the data.</p><p>This can include basic operations, like saving a file in a specific format, or more complex tasks, like using a <strong>Text Splitter</strong> component to break down a large document into smaller chunks before generating embeddings for vector search.</p></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-data-components-in-flows">Use data components in flows<a href="#use-data-components-in-flows" class="hash-link" aria-label="Direct link to Use data components in flows" title="Direct link to Use data components in flows">​</a></h2>
 <p>Data components are used often in flows because they offer a versatile way to perform common, basic functions.</p>
 <p>You can use data components to perform their base functions as isolated steps in your flow, or you can connect them to an <strong>Agent</strong> component as tools.</p>
diff --git a/components-embedding-models.html b/components-embedding-models.html
index d3545b586f..695cbcc7d1 100644
--- a/components-embedding-models.html
+++ b/components-embedding-models.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-helpers.html b/components-helpers.html
index e67d19cafa..ef6503c291 100644
--- a/components-helpers.html
+++ b/components-helpers.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-io.html b/components-io.html
index caba0914ed..b89e251c9e 100644
--- a/components-io.html
+++ b/components-io.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-logic.html b/components-logic.html
index 0039792ea1..5187017cd6 100644
--- a/components-logic.html
+++ b/components-logic.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-memories.html b/components-memories.html
index 5776248656..d522fdcd07 100644
--- a/components-memories.html
+++ b/components-memories.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-models.html b/components-models.html
index ea93f70dd1..1fc8dd7e03 100644
--- a/components-models.html
+++ b/components-models.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-processing.html b/components-processing.html
index b907a5200a..5b519a53e6 100644
--- a/components-processing.html
+++ b/components-processing.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -314,8 +314,8 @@ You should see two files created from the data you&#x27;ve sent: one in <code>.x
 <li><code>pdf</code></li>
 </ul>
 <details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Parameters</summary><div><div class="collapsibleContent_i85q"><p><strong>Inputs</strong></p><table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>input_text</td><td>Input Text</td><td>The text to analyze and extract patterns from.</td></tr><tr><td>pattern</td><td>Regex Pattern</td><td>The regular expression pattern to match in the text.</td></tr><tr><td>input_type</td><td>Input Type</td><td>The type of input to save.</td></tr><tr><td>df</td><td>DataFrame</td><td>The DataFrame to save.</td></tr><tr><td>data</td><td>Data</td><td>The Data object to save.</td></tr><tr><td>message</td><td>Message</td><td>The Message to save.</td></tr><tr><td>file_format</td><td>File Format</td><td>The file format to save the input in.</td></tr><tr><td>file_path</td><td>File Path</td><td>The full file path including filename and extension.</td></tr></tbody></table><p><strong>Outputs</strong></p><table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>data</td><td>Data</td><td>A list of extracted matches as Data objects.</td></tr><tr><td>text</td><td>Message</td><td>The extracted matches formatted as a Message object.</td></tr><tr><td>confirmation</td><td>Confirmation</td><td>The confirmation message after saving the file.</td></tr></tbody></table></div></div></details>
-<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="smart-function">Smart function<a href="#smart-function" class="hash-link" aria-label="Direct link to Smart function" title="Direct link to Smart function">​</a></h2>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>Prior to Langflow 1.5, this component was named the Lambda filter.</p></div></div>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="smart-function">Smart Function<a href="#smart-function" class="hash-link" aria-label="Direct link to Smart Function" title="Direct link to Smart Function">​</a></h2>
+<p>In Langflow version 1.5, this component was renamed from <strong>Lambda Filter</strong> to <strong>Smart Function</strong>.</p>
 <p>This component uses an LLM to generate a function for filtering or transforming structured data.</p>
 <p>To use the <strong>Smart function</strong> component, you must connect it to a <a href="/components-models">Language Model</a> component, which the component uses to generate a function based on the natural language instructions in the <strong>Instructions</strong> field.</p>
 <p>This example gets JSON data from the <code>https://jsonplaceholder.typicode.com/users</code> API endpoint.
@@ -427,7 +427,7 @@ Fields from the <code>.data</code> attribute become columns, and the <code>.text
 <details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Python Code Structured</summary><div><div class="collapsibleContent_i85q"><p>Replace this legacy component with the <a href="#python-interpreter"><strong>Python Interpreter</strong> component</a> or another processing or logic component.</p><p>This component creates a structured tool from Python code using a dataclass.</p><p>The component dynamically updates its configuration based on the provided Python code, allowing for custom function arguments and descriptions.</p><p>It accepts the following parameters:</p><table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>tool_code</td><td>String</td><td>Input parameter. The Python code for the tool&#x27;s dataclass.</td></tr><tr><td>tool_name</td><td>String</td><td>Input parameter. The name of the tool.</td></tr><tr><td>tool_description</td><td>String</td><td>Input parameter. The description of the tool.</td></tr><tr><td>return_direct</td><td>Boolean</td><td>Input parameter. Whether to return the function output directly.</td></tr><tr><td>tool_function</td><td>String</td><td>Input parameter. The selected function for the tool.</td></tr><tr><td>global_variables</td><td>Dict</td><td>Input parameter. Global variables or data for the tool.</td></tr><tr><td>result_tool</td><td>Tool</td><td>Output parameter. A structured tool created from the Python code.</td></tr></tbody></table></div></div></details>
 <details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Regex Extractor</summary><div><div class="collapsibleContent_i85q"><p>Replace this legacy component with the <a href="#parser"><strong>Parser</strong> component</a>.</p><p>This component extracts patterns in text using regular expressions. It can be used to find and extract specific patterns or information in text.</p></div></div></details>
 <details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Select Data</summary><div><div class="collapsibleContent_i85q"><p>Replace this legacy component with the <a href="#data-operations"><strong>Data Operations</strong> component</a>.</p><p>This component selects a single <code>Data</code> object from a list.</p><p>It accepts the following parameters:</p><table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>data_list</td><td>Data List</td><td>Input parameter. List of data to select from</td></tr><tr><td>data_index</td><td>Data Index</td><td>Input parameter. Index of the data to select</td></tr><tr><td>selected_data</td><td>Selected Data</td><td>Output parameter. The selected <code>Data</code> object.</td></tr></tbody></table></div></div></details>
-<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Update Data</summary><div><div class="collapsibleContent_i85q"><p>Replace this legacy component with the <a href="#data-operations"><strong>Data Operations</strong> component</a>.</p><p>This component dynamically updates or appends data with specified fields.</p><p>It accepts the following parameters:</p><table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>old_data</td><td>Data</td><td>Input parameter. The records to update.</td></tr><tr><td>number_of_fields</td><td>Number of Fields</td><td>Input parameter. The number of fields to add. The maximum is 15.</td></tr><tr><td>text_key</td><td>Text Key</td><td>Input parameter. The key for text content.</td></tr><tr><td>text_key_validator</td><td>Text Key Validator</td><td>Input parameter. Validates the text key presence.</td></tr><tr><td>data</td><td>Data</td><td>Output parameter. The updated Data objects.</td></tr></tbody></table></div></div></details></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/components-vector-stores"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Vector Stores</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/components-prompts"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Prompt Template</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prompt-template" class="table-of-contents__link toc-highlight">Prompt Template</a></li><li><a href="#batch-run" class="table-of-contents__link toc-highlight">Batch Run</a><ul><li><a href="#use-the-batch-run-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the Batch Run component in a flow</a></li><li><a href="#batch-run-parameters" class="table-of-contents__link toc-highlight">Batch Run parameters</a></li></ul></li><li><a href="#data-operations" class="table-of-contents__link toc-highlight">Data Operations</a><ul><li><a href="#data-operations-parameters" class="table-of-contents__link toc-highlight">Data Operations parameters</a></li><li><a href="#data-operations-operations" class="table-of-contents__link toc-highlight">Data Operations operations</a></li></ul></li><li><a href="#dataframe-operations" class="table-of-contents__link toc-highlight">DataFrame operations</a><ul><li><a href="#operations" class="table-of-contents__link toc-highlight">Operations</a></li></ul></li><li><a href="#llm-router" class="table-of-contents__link toc-highlight">LLM router</a></li><li><a href="#parser" class="table-of-contents__link toc-highlight">Parser</a></li><li><a href="#python-interpreter" class="table-of-contents__link toc-highlight">Python Interpreter</a><ul><li><a href="#use-the-python-interpreter-in-a-flow" class="table-of-contents__link toc-highlight">Use the Python Interpreter in a flow</a></li><li><a href="#python-interpreter-parameters" class="table-of-contents__link toc-highlight">Python Interpreter parameters</a></li></ul></li><li><a href="#save-file" class="table-of-contents__link toc-highlight">Save file</a><ul><li><a href="#file-input-format-options" class="table-of-contents__link toc-highlight">File input format options</a></li></ul></li><li><a href="#smart-function" class="table-of-contents__link toc-highlight">Smart function</a></li><li><a href="#split-text" class="table-of-contents__link toc-highlight">Split Text</a><ul><li><a href="#other-text-splitters" class="table-of-contents__link toc-highlight">Other text splitters</a></li></ul></li><li><a href="#structured-output" class="table-of-contents__link toc-highlight">Structured output</a></li><li><a href="#type-convert" class="table-of-contents__link toc-highlight">Type convert</a></li><li><a href="#legacy-processing-components" class="table-of-contents__link toc-highlight">Legacy processing components</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Update Data</summary><div><div class="collapsibleContent_i85q"><p>Replace this legacy component with the <a href="#data-operations"><strong>Data Operations</strong> component</a>.</p><p>This component dynamically updates or appends data with specified fields.</p><p>It accepts the following parameters:</p><table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>old_data</td><td>Data</td><td>Input parameter. The records to update.</td></tr><tr><td>number_of_fields</td><td>Number of Fields</td><td>Input parameter. The number of fields to add. The maximum is 15.</td></tr><tr><td>text_key</td><td>Text Key</td><td>Input parameter. The key for text content.</td></tr><tr><td>text_key_validator</td><td>Text Key Validator</td><td>Input parameter. Validates the text key presence.</td></tr><tr><td>data</td><td>Data</td><td>Output parameter. The updated Data objects.</td></tr></tbody></table></div></div></details></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/components-vector-stores"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Vector Stores</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/components-prompts"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Prompt Template</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prompt-template" class="table-of-contents__link toc-highlight">Prompt Template</a></li><li><a href="#batch-run" class="table-of-contents__link toc-highlight">Batch Run</a><ul><li><a href="#use-the-batch-run-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the Batch Run component in a flow</a></li><li><a href="#batch-run-parameters" class="table-of-contents__link toc-highlight">Batch Run parameters</a></li></ul></li><li><a href="#data-operations" class="table-of-contents__link toc-highlight">Data Operations</a><ul><li><a href="#data-operations-parameters" class="table-of-contents__link toc-highlight">Data Operations parameters</a></li><li><a href="#data-operations-operations" class="table-of-contents__link toc-highlight">Data Operations operations</a></li></ul></li><li><a href="#dataframe-operations" class="table-of-contents__link toc-highlight">DataFrame operations</a><ul><li><a href="#operations" class="table-of-contents__link toc-highlight">Operations</a></li></ul></li><li><a href="#llm-router" class="table-of-contents__link toc-highlight">LLM router</a></li><li><a href="#parser" class="table-of-contents__link toc-highlight">Parser</a></li><li><a href="#python-interpreter" class="table-of-contents__link toc-highlight">Python Interpreter</a><ul><li><a href="#use-the-python-interpreter-in-a-flow" class="table-of-contents__link toc-highlight">Use the Python Interpreter in a flow</a></li><li><a href="#python-interpreter-parameters" class="table-of-contents__link toc-highlight">Python Interpreter parameters</a></li></ul></li><li><a href="#save-file" class="table-of-contents__link toc-highlight">Save file</a><ul><li><a href="#file-input-format-options" class="table-of-contents__link toc-highlight">File input format options</a></li></ul></li><li><a href="#smart-function" class="table-of-contents__link toc-highlight">Smart Function</a></li><li><a href="#split-text" class="table-of-contents__link toc-highlight">Split Text</a><ul><li><a href="#other-text-splitters" class="table-of-contents__link toc-highlight">Other text splitters</a></li></ul></li><li><a href="#structured-output" class="table-of-contents__link toc-highlight">Structured output</a></li><li><a href="#type-convert" class="table-of-contents__link toc-highlight">Type convert</a></li><li><a href="#legacy-processing-components" class="table-of-contents__link toc-highlight">Legacy processing components</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
                   <span>© 2025 Langflow</span>
                   <span id="preferenceCenterContainer"> ·&nbsp; <a href="https://langflow.org/preferences">Manage Privacy Choices</a></span>
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diff --git a/components-prompts.html b/components-prompts.html
index a57510c121..d854af1063 100644
--- a/components-prompts.html
+++ b/components-prompts.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-tools.html b/components-tools.html
index fb16be447a..df8d6608f5 100644
--- a/components-tools.html
+++ b/components-tools.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/components-vector-stores.html b/components-vector-stores.html
index 6c990813a0..8bbfe6fa85 100644
--- a/components-vector-stores.html
+++ b/components-vector-stores.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -53,7 +53,7 @@
 <p>Vector databases and vector store components are specifically designed for storing and retrieving vector data, such as embeddings generated by language models. They are used to perform similarity searches, enabling applications like chatbots to retrieve relevant context from large datasets.</p>
 <p>Other types of storage, like traditional structured databases and chat memory, are handled through other components like the <a href="/components-data#sql-database"><strong>SQL Database</strong> component</a> or the <a href="/components-helpers#message-history"><strong>Message History</strong> component</a>.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-a-vector-store-component-in-a-flow">Use a vector store component in a flow<a href="#use-a-vector-store-component-in-a-flow" class="hash-link" aria-label="Direct link to Use a vector store component in a flow" title="Direct link to Use a vector store component in a flow">​</a></h2>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>For examples of vector store components in flows, see <a href="/chat-with-rag">Create a vector RAG chatbot</a> and <a href="/components-embedding-models">Embedding Model components</a>.</p></div></div>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>For examples of vector store components in flows, see <a href="/chat-with-rag">Create a vector RAG chatbot</a> and <a href="/components-embedding-models"><strong>Embedding Model</strong> components</a>.</p></div></div>
 <p>This example uses the <strong>Chroma DB</strong> vector store component. Your vector store component&#x27;s parameters and authentication may be different, but the document ingestion workflow is the same. A document is loaded from a local machine and chunked. The vector store component generates embeddings with the connected <a href="/components-models">model</a> component, and stores them in the connected vector database.</p>
 <p>This vector data can then be retrieved for workloads like Retrieval Augmented Generation.</p>
 <p><img decoding="async" loading="lazy" alt="Embedding data into a vector store" src="/assets/images/vector-store-document-ingestion-6157311fb4d16e7f944d55254f0cc0e2.png" width="4000" height="2512" class="img_ev3q"></p>
diff --git a/concepts-components.html b/concepts-components.html
index bf2e285014..87444144a2 100644
--- a/concepts-components.html
+++ b/concepts-components.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/concepts-file-management.html b/concepts-file-management.html
index acde352d5b..0471350364 100644
--- a/concepts-file-management.html
+++ b/concepts-file-management.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/concepts-flows-import.html b/concepts-flows-import.html
index 4664f655c9..40abfb71cb 100644
--- a/concepts-flows-import.html
+++ b/concepts-flows-import.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -62,7 +62,7 @@ For more information, see <a href="#langflow-json-file-contents">Langflow JSON f
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="save-with-my-api-keys">Save with my API keys<a href="#save-with-my-api-keys" class="hash-link" aria-label="Direct link to Save with my API keys" title="Direct link to Save with my API keys">​</a></h3>
 <p>When exporting from the Langflow UI, you can select <strong>Save with my API keys</strong> to export the flow <em>and</em> any defined API key variables.
 Non-API key variables are included in the export regardless of the <strong>Save with my API keys</strong> setting.</p>
-<div class="theme-admonition theme-admonition-warning admonition_xJq3 alert alert--warning"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>warning</div><div class="admonitionContent_BuS1"><p>If you directly entered the key value into a component&#x27;s API key field, then <strong>Save with my API keys</strong> exports the literal key value.</p><p>If your key is stored in a Langflow global variable, <strong>Save with my API keys</strong> exports only the variable name.</p></div></div>
+<div class="theme-admonition theme-admonition-warning admonition_xJq3 alert alert--warning"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>warning</div><div class="admonitionContent_BuS1"><p>If you enter the literal key into a component&#x27;s <strong>API key</strong> field, then <strong>Save with my API keys</strong> exports the literal key value.</p><p>If your key is stored in a Langflow global variable, <strong>Save with my API keys</strong> exports only the variable name.</p></div></div>
 <p>When you or another user import the flow to another Langflow instance, that instance must have Langflow global variables with the same names and valid values in order to run the flow successfully.
 If any variables are missing or invalid, those variables must be created or edited after importing the flow.</p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="export-all-flows">Export all flows<a href="#export-all-flows" class="hash-link" aria-label="Direct link to Export all flows" title="Direct link to Export all flows">​</a></h3>
diff --git a/concepts-flows.html b/concepts-flows.html
index 405488baeb..bae4ccaefb 100644
--- a/concepts-flows.html
+++ b/concepts-flows.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/concepts-overview.html b/concepts-overview.html
index fc14606195..203d183cdd 100644
--- a/concepts-overview.html
+++ b/concepts-overview.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/concepts-playground.html b/concepts-playground.html
index 159fab0b54..1ddf415b38 100644
--- a/concepts-playground.html
+++ b/concepts-playground.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/concepts-publish.html b/concepts-publish.html
index b1d823f238..fea9f2ea88 100644
--- a/concepts-publish.html
+++ b/concepts-publish.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/concepts-voice-mode.html b/concepts-voice-mode.html
index 6609871e69..cadea4cd30 100644
--- a/concepts-voice-mode.html
+++ b/concepts-voice-mode.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -60,7 +60,7 @@
 <p>An <a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">OpenAI</a> account and an OpenAI API key because Langflow uses the OpenAI API to process voice input and generate responses.</p>
 </li>
 <li>
-<p>Optional: An <a href="https://elevenlabs.io" target="_blank" rel="noopener noreferrer">ElevenLabs</a> API key to enable voice options for the LLM&#x27;s response.</p>
+<p>Optional: An <a href="https://elevenlabs.io" target="_blank" rel="noopener noreferrer">ElevenLabs</a> API key to enable more voice options for the LLM&#x27;s response.</p>
 </li>
 <li>
 <p>A microphone and speakers.</p>
@@ -122,7 +122,11 @@ You can build applications against these endpoints the same way you would build
 <p>Both endpoints accept an optional <code>/$SESSION_ID</code> path parameter to provide a unique ID for the conversation.
 If omitted, Langflow uses the flow ID as the <a href="/session-id">session ID</a>.</p>
 <p>However, be aware that voice mode only maintains context within the current conversation instance.
-When you close the <strong>Playground</strong> or end a chat, verbal chat history is discarded and not available for future chat sessions.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/data-types"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Use Langflow data types</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/configuration-cli"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Use the Langflow CLI</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#test-voice-mode-in-the-playground" class="table-of-contents__link toc-highlight">Test voice mode in the Playground</a></li><li><a href="#develop-applications-with-websockets-endpoints" class="table-of-contents__link toc-highlight">Develop applications with websockets endpoints</a><ul><li><a href="#voice-to-voice-audio-streaming" class="table-of-contents__link toc-highlight">Voice-to-voice audio streaming</a></li><li><a href="#speech-to-text-audio-transcription" class="table-of-contents__link toc-highlight">Speech-to-text audio transcription</a></li><li><a href="#session-ids-for-websockets-endpoints" class="table-of-contents__link toc-highlight">Session IDs for websockets endpoints</a></li></ul></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+When you close the <strong>Playground</strong> or end a chat, verbal chat history is discarded and not available for future chat sessions.</p>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also">​</a></h2>
+<ul>
+<li><a href="/concepts-playground">Test flows in the Playground</a></li>
+</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/data-types"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Use Langflow data types</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/configuration-cli"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Use the Langflow CLI</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#test-voice-mode-in-the-playground" class="table-of-contents__link toc-highlight">Test voice mode in the Playground</a></li><li><a href="#develop-applications-with-websockets-endpoints" class="table-of-contents__link toc-highlight">Develop applications with websockets endpoints</a><ul><li><a href="#voice-to-voice-audio-streaming" class="table-of-contents__link toc-highlight">Voice-to-voice audio streaming</a></li><li><a href="#speech-to-text-audio-transcription" class="table-of-contents__link toc-highlight">Speech-to-text audio transcription</a></li><li><a href="#session-ids-for-websockets-endpoints" class="table-of-contents__link toc-highlight">Session IDs for websockets endpoints</a></li></ul></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
                   <span>© 2025 Langflow</span>
                   <span id="preferenceCenterContainer"> ·&nbsp; <a href="https://langflow.org/preferences">Manage Privacy Choices</a></span>
                   </div></li></ul></div></div><div class="footer__bottom text--center"><div class="margin-bottom--sm"><img src="/img/lf-docs-light.svg" alt="Langflow" class="footer__logo themedComponent_mlkZ themedComponent--light_NVdE" width="160" height="40"><img src="/img/lf-docs-dark.svg" alt="Langflow" class="footer__logo themedComponent_mlkZ themedComponent--dark_xIcU" width="160" height="40"></div></div></div></footer><div style="position:fixed;right:20px;bottom:20px;z-index:100;display:flex;align-items:center;gap:10px;cursor:pointer"><div style="background-color:#f6f6f6;border-radius:50%;width:48px;height:48px;display:flex;align-items:center;justify-content:center;box-shadow:0 2px 4px rgba(0,0,0,0.1)"><img src="/img/langflow-icon-black-transparent.svg" style="width:40px" alt="Search"></div></div></div>
diff --git a/configuration-api-keys.html b/configuration-api-keys.html
index 1801d3c609..a96b5a96f0 100644
--- a/configuration-api-keys.html
+++ b/configuration-api-keys.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/configuration-authentication.html b/configuration-authentication.html
index a86b36d28d..88c57c7ae7 100644
--- a/configuration-authentication.html
+++ b/configuration-authentication.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/configuration-cli.html b/configuration-cli.html
index acedecffd1..3f45df1c71 100644
--- a/configuration-cli.html
+++ b/configuration-cli.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -69,10 +69,9 @@
 <h4 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="options-1">Options<a href="#options-1" class="hash-link" aria-label="Direct link to Options" title="Direct link to Options">​</a></h4>
 <table><thead><tr><th>Option</th><th>Default</th><th>Values</th><th>Description</th></tr></thead><tbody><tr><td><a id="install-completion"></a><code>--install-completion</code></td><td><em>Not applicable</em></td><td><em>Not applicable</em></td><td>Install auto-completion for the current shell.</td></tr><tr><td><a id="show-completion"></a><code>--show-completion</code></td><td><em>Not applicable</em></td><td><em>Not applicable</em></td><td>Show the location of the auto-completion config file (if installed).</td></tr><tr><td><a id="help"></a><code>--help</code></td><td><em>Not applicable</em></td><td><em>Not applicable</em></td><td>Display information about the command usage and its options and arguments.</td></tr></tbody></table>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="langflow-copy-db">langflow copy-db<a href="#langflow-copy-db" class="hash-link" aria-label="Direct link to langflow copy-db" title="Direct link to langflow copy-db">​</a></h3>
-<p>Copy the database files to the current directory.
-Copy the Langflow database files, <code>langflow.db</code> and <code>langflow-pre.db</code> (if they exist), from the cache directory to the current directory.</p>
-<div class="theme-admonition theme-admonition-note admonition_xJq3 alert alert--secondary"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M6.3 5.69a.942.942 0 0 1-.28-.7c0-.28.09-.52.28-.7.19-.18.42-.28.7-.28.28 0 .52.09.7.28.18.19.28.42.28.7 0 .28-.09.52-.28.7a1 1 0 0 1-.7.3c-.28 0-.52-.11-.7-.3zM8 7.99c-.02-.25-.11-.48-.31-.69-.2-.19-.42-.3-.69-.31H6c-.27.02-.48.13-.69.31-.2.2-.3.44-.31.69h1v3c.02.27.11.5.31.69.2.2.42.31.69.31h1c.27 0 .48-.11.69-.31.2-.19.3-.42.31-.69H8V7.98v.01zM7 2.3c-3.14 0-5.7 2.54-5.7 5.68 0 3.14 2.56 5.7 5.7 5.7s5.7-2.55 5.7-5.7c0-3.15-2.56-5.69-5.7-5.69v.01zM7 .98c3.86 0 7 3.14 7 7s-3.14 7-7 7-7-3.12-7-7 3.14-7 7-7z"></path></svg></span>note</div><div class="admonitionContent_BuS1"><p>The current directory is the directory containing <code>__main__.py</code>.
-You can find this directory by running <code>which langflow</code>.</p></div></div>
+<p>Copy the database files to the current directory, which is the directory containing <code>__main__.py</code>.
+You can find this directory by running <code>which langflow</code>.</p>
+<p>Copy the Langflow database files, <code>langflow.db</code> and <code>langflow-pre.db</code> (if they exist), from the cache directory to the current directory.</p>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>langflow copy-db</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span># or</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>python -m langflow copy-db</span></div></div><br></code></div></div>
 <h4 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="options-2">Options<a href="#options-2" class="hash-link" aria-label="Direct link to Options" title="Direct link to Options">​</a></h4>
 <table><thead><tr><th>Option</th><th>Default</th><th>Values</th><th>Description</th></tr></thead><tbody><tr><td><a id="copy-db-help"></a><code>--help</code></td><td><em>Not applicable</em></td><td><em>Not applicable</em></td><td>Display information about the command usage and its options and arguments.</td></tr></tbody></table>
diff --git a/configuration-custom-database.html b/configuration-custom-database.html
index bd90facea3..edf0ffd6de 100644
--- a/configuration-custom-database.html
+++ b/configuration-custom-database.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -55,8 +55,7 @@ PostgreSQL is better suited for production environments due to its robust suppor
 Langflow can more efficiently handle multiple users and larger workloads by using PostgreSQL as the database.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">Install and start Langflow</a></li>
-<li>Create a <a href="https://www.pgadmin.org/download/" target="_blank" rel="noopener noreferrer">PostgreSQL</a> database</li>
+<li>A <a href="https://www.pgadmin.org/download/" target="_blank" rel="noopener noreferrer">PostgreSQL</a> database</li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="connect-langflow-to-a-local-postgresql-database">Connect Langflow to a local PostgreSQL database<a href="#connect-langflow-to-a-local-postgresql-database" class="hash-link" aria-label="Direct link to Connect Langflow to a local PostgreSQL database" title="Direct link to Connect Langflow to a local PostgreSQL database">​</a></h2>
 <ol>
@@ -136,7 +135,12 @@ Since each Langflow instance runs in its own container on the Docker network, us
 <li>
 <p>To quit psql, type <code>quit</code>.</p>
 </li>
-</ol></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/session-id"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Use Session IDs</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/logging"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Logs</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#connect-langflow-to-a-local-postgresql-database" class="table-of-contents__link toc-highlight">Connect Langflow to a local PostgreSQL database</a></li><li><a href="#deploy-langflow-and-postgresql-containers-with-docker-composeyml" class="table-of-contents__link toc-highlight">Deploy Langflow and PostgreSQL containers with docker-compose.yml</a></li><li><a href="#deploy-multiple-langflow-instances-with-a-shared-postgresql-database" class="table-of-contents__link toc-highlight">Deploy multiple Langflow instances with a shared PostgreSQL database</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+</ol>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also">​</a></h2>
+<ul>
+<li><a href="/memory">Memory management options</a></li>
+<li><a href="/logging">Logs</a></li>
+</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/session-id"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Use Session IDs</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/logging"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Logs</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#connect-langflow-to-a-local-postgresql-database" class="table-of-contents__link toc-highlight">Connect Langflow to a local PostgreSQL database</a></li><li><a href="#deploy-langflow-and-postgresql-containers-with-docker-composeyml" class="table-of-contents__link toc-highlight">Deploy Langflow and PostgreSQL containers with docker-compose.yml</a></li><li><a href="#deploy-multiple-langflow-instances-with-a-shared-postgresql-database" class="table-of-contents__link toc-highlight">Deploy multiple Langflow instances with a shared PostgreSQL database</a></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
                   <span>© 2025 Langflow</span>
                   <span id="preferenceCenterContainer"> ·&nbsp; <a href="https://langflow.org/preferences">Manage Privacy Choices</a></span>
                   </div></li></ul></div></div><div class="footer__bottom text--center"><div class="margin-bottom--sm"><img src="/img/lf-docs-light.svg" alt="Langflow" class="footer__logo themedComponent_mlkZ themedComponent--light_NVdE" width="160" height="40"><img src="/img/lf-docs-dark.svg" alt="Langflow" class="footer__logo themedComponent_mlkZ themedComponent--dark_xIcU" width="160" height="40"></div></div></div></footer><div style="position:fixed;right:20px;bottom:20px;z-index:100;display:flex;align-items:center;gap:10px;cursor:pointer"><div style="background-color:#f6f6f6;border-radius:50%;width:48px;height:48px;display:flex;align-items:center;justify-content:center;box-shadow:0 2px 4px rgba(0,0,0,0.1)"><img src="/img/langflow-icon-black-transparent.svg" style="width:40px" alt="Search"></div></div></div>
diff --git a/configuration-global-variables.html b/configuration-global-variables.html
index 973b68bcdd..a63e33e531 100644
--- a/configuration-global-variables.html
+++ b/configuration-global-variables.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/contributing-bundles.html b/contributing-bundles.html
index a71017e8cc..a39c098af5 100644
--- a/contributing-bundles.html
+++ b/contributing-bundles.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/contributing-community.html b/contributing-community.html
index d61c7802ab..61bafa0765 100644
--- a/contributing-community.html
+++ b/contributing-community.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/contributing-component-tests.html b/contributing-component-tests.html
index 88fe9362d0..304581476f 100644
--- a/contributing-component-tests.html
+++ b/contributing-component-tests.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
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 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/contributing-components.html b/contributing-components.html
index cdbe186f86..107674aa41 100644
--- a/contributing-components.html
+++ b/contributing-components.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/contributing-github-issues.html b/contributing-github-issues.html
index f748310b2e..edb372e6ac 100644
--- a/contributing-github-issues.html
+++ b/contributing-github-issues.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/contributing-how-to-contribute.html b/contributing-how-to-contribute.html
index 6b45749967..093087fb46 100644
--- a/contributing-how-to-contribute.html
+++ b/contributing-how-to-contribute.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
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+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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@@ -58,9 +58,8 @@ As an open-source project in a rapidly developing field, Langflow welcomes contr
 <ul>
 <li><a href="https://docs.astral.sh/uv/getting-started/installation/" target="_blank" rel="noopener noreferrer">uv</a> version 0.4 or later</li>
 <li><a href="https://nodejs.org/en/download/package-manager" target="_blank" rel="noopener noreferrer">Node.js</a></li>
-<li><a href="https://www.gnu.org/software/make/#documentation" target="_blank" rel="noopener noreferrer">Make</a></li>
+<li><a href="https://www.gnu.org/software/make/#documentation" target="_blank" rel="noopener noreferrer">Make</a> (Linux and macOS only)</li>
 </ul>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>Windows</div><div class="admonitionContent_BuS1"><p>For Windows installations, you don&#x27;t need need Make, and you can find <a href="https://github.com/langflow-ai/langflow/tree/main/scripts/windows" target="_blank" rel="noopener noreferrer">Windows scripts</a> in the Langflow repository.</p></div></div>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="clone-the-langflow-repository">Clone the Langflow repository<a href="#clone-the-langflow-repository" class="hash-link" aria-label="Direct link to Clone the Langflow repository" title="Direct link to Clone the Langflow repository">​</a></h3>
 <ol>
 <li>
diff --git a/contributing-telemetry.html b/contributing-telemetry.html
index 0d1e191a8d..2b43f80090 100644
--- a/contributing-telemetry.html
+++ b/contributing-telemetry.html
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diff --git a/contributing-templates.html b/contributing-templates.html
index a4fdeea6db..2aa634d8a4 100644
--- a/contributing-templates.html
+++ b/contributing-templates.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -78,7 +78,7 @@ Do not use custom components.</p>
 <p>Include a note to guide users. Notes accept Markdown syntax.
 A single note usually suffices.</p>
 <p>For example:</p>
-<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span># Financial Assistant Agents</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>The Financial Assistant Agent retrieves web content and writes reports about finance.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>## Prerequisites</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>* [OpenAI API Key](https://platform.openai.com/)</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>* [Tavily AI Search key](https://docs.tavily.com/welcome)</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>* [Sambanova API key](https://sambanova.ai/)</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>## Quickstart</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>1. In both **Agent** components, add your OpenAI API key.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>2. In the **Model Provider** field, select **Sambanova**, and select a model.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>3. In the **Sambanova** component, add your **Sambanova API key**.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>4. In the **Tavily Search** component, add your **Tavily API key**.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>5. Click the **Playground** and ask `Why did Nvidia stock drop in January?`</span></div></div><br></code></div></div>
+<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span># Financial Assistant Agents</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>The Financial Assistant Agent retrieves web content and writes reports about finance.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>## Prerequisites</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>* [OpenAI API key](https://platform.openai.com/api-keys)</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>* [Tavily AI Search key](https://docs.tavily.com/welcome)</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>* [Sambanova API key](https://sambanova.ai/)</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>## Quickstart</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>1. In both **Agent** components, add your OpenAI API key.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>2. In the **Model Provider** field, select **Sambanova**, and select a model.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>3. In the **Sambanova** component, add your **Sambanova API key**.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>4. In the **Tavily Search** component, add your **Tavily API key**.</span></div></div><div><span class="ch-code-line-number">_<!-- -->17</span><div style="display:inline-block;margin-left:16px"><span>5. Click the **Playground** and ask `Why did Nvidia stock drop in January?`</span></div></div><br></code></div></div>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="format">Format<a href="#format" class="hash-link" aria-label="Direct link to Format" title="Direct link to Format">​</a></h3>
 <p>Submit the template in JSON format.</p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="tags">Tags<a href="#tags" class="hash-link" aria-label="Direct link to Tags" title="Direct link to Tags">​</a></h3>
diff --git a/data-types.html b/data-types.html
index e562346e95..c7327bd6a1 100644
--- a/data-types.html
+++ b/data-types.html
@@ -23,7 +23,7 @@
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 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/deployment-caddyfile.html b/deployment-caddyfile.html
index 373a4a3616..d0fbae21e4 100644
--- a/deployment-caddyfile.html
+++ b/deployment-caddyfile.html
@@ -23,7 +23,7 @@
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 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/deployment-docker.html b/deployment-docker.html
index 6e62e026dc..a0fd399934 100644
--- a/deployment-docker.html
+++ b/deployment-docker.html
@@ -23,7 +23,7 @@
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 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/deployment-gcp.html b/deployment-gcp.html
index 62e7d97f3b..f30bb3aa5f 100644
--- a/deployment-gcp.html
+++ b/deployment-gcp.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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diff --git a/deployment-hugging-face-spaces.html b/deployment-hugging-face-spaces.html
index 6a4815e323..ea027b5bc2 100644
--- a/deployment-hugging-face-spaces.html
+++ b/deployment-hugging-face-spaces.html
@@ -23,7 +23,7 @@
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+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/deployment-kubernetes-dev.html b/deployment-kubernetes-dev.html
index 8a39d48850..19560f14b2 100644
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+++ b/deployment-kubernetes-dev.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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 <body class="navigation-with-keyboard">
@@ -50,13 +50,13 @@
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Deploy</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Containerized deployments</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Kubernetes</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Deploy in development</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Deploy the Langflow development environment on Kubernetes</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
 <p>The <a href="https://github.com/langflow-ai/langflow-helm-charts/tree/main/charts/langflow-ide" target="_blank" rel="noopener noreferrer">Langflow Integrated Development Environment (IDE)</a> Helm chart is designed to provide a complete environment for developers to create, test, and debug their flows. It includes both the API and the UI.</p>
-<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h3>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
 <li>A <a href="https://kubernetes.io/docs/setup/" target="_blank" rel="noopener noreferrer">Kubernetes</a> cluster</li>
 <li><a href="https://kubernetes.io/docs/tasks/tools/#kubectl" target="_blank" rel="noopener noreferrer">kubectl</a></li>
 <li><a href="https://helm.sh/docs/intro/install/" target="_blank" rel="noopener noreferrer">Helm</a></li>
 </ul>
-<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prepare-a-kubernetes-cluster">Prepare a Kubernetes cluster<a href="#prepare-a-kubernetes-cluster" class="hash-link" aria-label="Direct link to Prepare a Kubernetes cluster" title="Direct link to Prepare a Kubernetes cluster">​</a></h3>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prepare-a-kubernetes-cluster">Prepare a Kubernetes cluster<a href="#prepare-a-kubernetes-cluster" class="hash-link" aria-label="Direct link to Prepare a Kubernetes cluster" title="Direct link to Prepare a Kubernetes cluster">​</a></h2>
 <p>This example uses <a href="https://minikube.sigs.k8s.io/docs/start/" target="_blank" rel="noopener noreferrer">Minikube</a>, but you can use any Kubernetes cluster.</p>
 <ol>
 <li>
@@ -68,7 +68,7 @@
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>kubectl config use-context minikube</span></div></div><br></code></div></div>
 </li>
 </ol>
-<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="install-the-langflow-ide-helm-chart">Install the Langflow IDE Helm chart<a href="#install-the-langflow-ide-helm-chart" class="hash-link" aria-label="Direct link to Install the Langflow IDE Helm chart" title="Direct link to Install the Langflow IDE Helm chart">​</a></h3>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="install-the-langflow-ide-helm-chart">Install the Langflow IDE Helm chart<a href="#install-the-langflow-ide-helm-chart" class="hash-link" aria-label="Direct link to Install the Langflow IDE Helm chart" title="Direct link to Install the Langflow IDE Helm chart">​</a></h2>
 <ol>
 <li>
 <p>Add the repository to Helm and update it.</p>
@@ -83,7 +83,7 @@
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>kubectl get pods -n langflow</span></div></div><br></code></div></div>
 </li>
 </ol>
-<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="access-the-langflow-ide">Access the Langflow IDE<a href="#access-the-langflow-ide" class="hash-link" aria-label="Direct link to Access the Langflow IDE" title="Direct link to Access the Langflow IDE">​</a></h3>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="access-the-langflow-ide">Access the Langflow IDE<a href="#access-the-langflow-ide" class="hash-link" aria-label="Direct link to Access the Langflow IDE" title="Direct link to Access the Langflow IDE">​</a></h2>
 <p>Enable local port forwarding to access Langflow from your local machine.</p>
 <ol>
 <li>To make the Langflow API accessible from your local machine at port 7860:</li>
@@ -98,11 +98,11 @@
 <li>Access the Langflow API at <code>http://localhost:7860</code>.</li>
 <li>Access the Langflow UI at <code>http://localhost:8080</code>.</li>
 </ul>
-<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-the-langflow-version">Configure the Langflow version<a href="#configure-the-langflow-version" class="hash-link" aria-label="Direct link to Configure the Langflow version" title="Direct link to Configure the Langflow version">​</a></h3>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-the-langflow-version">Configure the Langflow version<a href="#configure-the-langflow-version" class="hash-link" aria-label="Direct link to Configure the Langflow version" title="Direct link to Configure the Langflow version">​</a></h2>
 <p>Langflow is deployed with the <code>latest</code> version by default.</p>
 <p>To specify a different Langflow version, set the <code>langflow.backend.image.tag</code> and <code>langflow.frontend.image.tag</code> values in the <a href="https://github.com/langflow-ai/langflow-helm-charts/blob/main/charts/langflow-ide/values.yaml" target="_blank" rel="noopener noreferrer">values.yaml</a> file.</p>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>langflow:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  backend:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>    image:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>      tag: &quot;1.0.0a59&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  frontend:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>    image:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>      tag: &quot;1.0.0a59&quot;</span></div></div><br></code></div></div>
-<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-external-storage">Configure external storage<a href="#configure-external-storage" class="hash-link" aria-label="Direct link to Configure external storage" title="Direct link to Configure external storage">​</a></h3>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-external-storage">Configure external storage<a href="#configure-external-storage" class="hash-link" aria-label="Direct link to Configure external storage" title="Direct link to Configure external storage">​</a></h2>
 <p>By default, the chart deploys a SQLite database stored in a local persistent disk. If you want to use an external PostgreSQL database, you can configure it in two ways:</p>
 <ul>
 <li>Use the built-in PostgreSQL chart:</li>
@@ -112,11 +112,12 @@
 <li>Use an external database:</li>
 </ul>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>postgresql:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>  enabled: false</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>langflow:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>  backend:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>    externalDatabase:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>      enabled: true</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>      driver:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>        value: &quot;postgresql&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>      port:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>        value: &quot;5432&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>      user:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>        value: &quot;langflow&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>      password:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>        valueFrom:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>          secretKeyRef:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>            key: &quot;password&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>            name: &quot;your-secret-name&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>      database:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>        value: &quot;langflow-db&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>    sqlite:</span></div></div><div><span class="ch-code-line-number">_<!-- -->22</span><div style="display:inline-block;margin-left:16px"><span>      enabled: false</span></div></div><br></code></div></div>
-<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-scaling">Configure scaling<a href="#configure-scaling" class="hash-link" aria-label="Direct link to Configure scaling" title="Direct link to Configure scaling">​</a></h3>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-scaling">Configure scaling<a href="#configure-scaling" class="hash-link" aria-label="Direct link to Configure scaling" title="Direct link to Configure scaling">​</a></h2>
 <p>Scale the number of replicas and resources for both frontend and backend services:</p>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>langflow:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>  backend:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>    replicaCount: 1</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>    resources:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      requests:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>        cpu: 0.5</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>        memory: 1Gi</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      # limits:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      #   cpu: 0.5</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      #   memory: 1Gi</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>  frontend:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>    enabled: true</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>    replicaCount: 1</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>    resources:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      requests:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>        cpu: 0.3</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>        memory: 512Mi</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      # limits:</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      #   cpu: 0.3</span></div></div><div><span class="ch-code-line-number">_<!-- -->21</span><div style="display:inline-block;margin-left:16px"><span>      #   memory: 512Mi</span></div></div><br></code></div></div>
-<div class="theme-admonition theme-admonition-note admonition_xJq3 alert alert--secondary"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M6.3 5.69a.942.942 0 0 1-.28-.7c0-.28.09-.52.28-.7.19-.18.42-.28.7-.28.28 0 .52.09.7.28.18.19.28.42.28.7 0 .28-.09.52-.28.7a1 1 0 0 1-.7.3c-.28 0-.52-.11-.7-.3zM8 7.99c-.02-.25-.11-.48-.31-.69-.2-.19-.42-.3-.69-.31H6c-.27.02-.48.13-.69.31-.2.2-.3.44-.31.69h1v3c.02.27.11.5.31.69.2.2.42.31.69.31h1c.27 0 .48-.11.69-.31.2-.19.3-.42.31-.69H8V7.98v.01zM7 2.3c-3.14 0-5.7 2.54-5.7 5.68 0 3.14 2.56 5.7 5.7 5.7s5.7-2.55 5.7-5.7c0-3.15-2.56-5.69-5.7-5.69v.01zM7 .98c3.86 0 7 3.14 7 7s-3.14 7-7 7-7-3.12-7-7 3.14-7 7-7z"></path></svg></span>note</div><div class="admonitionContent_BuS1"><p>If your flow relies on a shared state, such as built-in chat memory, you need to set up a shared database when scaling horizontally.</p></div></div>
-<p>For more examples of <code>langflow-ide</code> deployment, see the <a href="https://github.com/langflow-ai/langflow-helm-charts/tree/main/examples/langflow-ide" target="_blank" rel="noopener noreferrer">Langflow Helm Charts repository</a>.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/deployment-prod-best-practices"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Langflow architecture and best practices</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/deployment-kubernetes-prod"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Deploy in production</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#prepare-a-kubernetes-cluster" class="table-of-contents__link toc-highlight">Prepare a Kubernetes cluster</a></li><li><a href="#install-the-langflow-ide-helm-chart" class="table-of-contents__link toc-highlight">Install the Langflow IDE Helm chart</a></li><li><a href="#access-the-langflow-ide" class="table-of-contents__link toc-highlight">Access the Langflow IDE</a></li><li><a href="#configure-the-langflow-version" class="table-of-contents__link toc-highlight">Configure the Langflow version</a></li><li><a href="#configure-external-storage" class="table-of-contents__link toc-highlight">Configure external storage</a></li><li><a href="#configure-scaling" class="table-of-contents__link toc-highlight">Configure scaling</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+<p>If your flow relies on a shared state, such as built-in chat memory, you need to set up a shared database when scaling horizontally.</p>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also">​</a></h2>
+<p>For more examples of <code>langflow-ide</code> deployment, see the <a href="https://github.com/langflow-ai/langflow-helm-charts/tree/main/examples/langflow-ide" target="_blank" rel="noopener noreferrer">Langflow Helm Charts repository</a>.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/deployment-prod-best-practices"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Langflow architecture and best practices</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/deployment-kubernetes-prod"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Deploy in production</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#prepare-a-kubernetes-cluster" class="table-of-contents__link toc-highlight">Prepare a Kubernetes cluster</a></li><li><a href="#install-the-langflow-ide-helm-chart" class="table-of-contents__link toc-highlight">Install the Langflow IDE Helm chart</a></li><li><a href="#access-the-langflow-ide" class="table-of-contents__link toc-highlight">Access the Langflow IDE</a></li><li><a href="#configure-the-langflow-version" class="table-of-contents__link toc-highlight">Configure the Langflow version</a></li><li><a href="#configure-external-storage" class="table-of-contents__link toc-highlight">Configure external storage</a></li><li><a href="#configure-scaling" class="table-of-contents__link toc-highlight">Configure scaling</a></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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diff --git a/deployment-kubernetes-prod.html b/deployment-kubernetes-prod.html
index 540d7cdfef..a8b00f5e23 100644
--- a/deployment-kubernetes-prod.html
+++ b/deployment-kubernetes-prod.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/deployment-overview.html b/deployment-overview.html
index ecaf254ebe..c82df7930d 100644
--- a/deployment-overview.html
+++ b/deployment-overview.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/deployment-prod-best-practices.html b/deployment-prod-best-practices.html
index eca4a40cad..0b92f4ba9c 100644
--- a/deployment-prod-best-practices.html
+++ b/deployment-prod-best-practices.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -52,7 +52,7 @@
 <li><a href="/deployment-kubernetes-dev"><strong>Langflow IDE</strong></a>: The <strong>Langflow IDE</strong> includes the frontend for visual development of your flow. The default <a href="https://github.com/langflow-ai/langflow/blob/main/docker_example/docker-compose.yml" target="_blank" rel="noopener noreferrer">docker-compose.yml</a> file hosted in the Langflow repository builds the Langflow IDE image. The Langflow IDE can be deployed on <a href="/deployment-docker">Docker</a> or <a href="/deployment-kubernetes-dev">Kubernetes</a>.</li>
 <li><a href="/deployment-kubernetes-prod"><strong>Langflow runtime</strong></a>: The <strong>Langflow runtime</strong> is a headless or backend-only mode. The server exposes your flow as an endpoint, and runs only the processes necessary to serve your flow, with PostgreSQL as the database for improved scalability. Use the Langflow <strong>runtime</strong> to deploy your flows if you don&#x27;t require the frontend for visual development. The Langflow runtime can be deployed on <a href="/deployment-docker">Docker</a> or <a href="/deployment-kubernetes-prod">Kubernetes</a>.</li>
 </ul>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>You can start Langflow in headless mode with the <a href="/environment-variables#LANGFLOW_BACKEND_ONLY">LANGFLOW_BACKEND_ONLY</a> environment variable.</p></div></div>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>You can start Langflow in headless mode with the <a href="/environment-variables#LANGFLOW_BACKEND_ONLY"><code>LANGFLOW_BACKEND_ONLY</code></a> environment variable.</p></div></div>
 <p>Deploying on Kubernetes offers the following advantages:</p>
 <ul>
 <li><strong>Scalability</strong>: Kubernetes allows you to scale the Langflow service to meet the demands of your workload.</li>
diff --git a/deployment-public-server.html b/deployment-public-server.html
index f06afa0caa..223b910ef7 100644
--- a/deployment-public-server.html
+++ b/deployment-public-server.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -52,16 +52,9 @@
 However, you can forward Langflow server traffic with a forwarding platform like <a href="https://ngrok.com/docs/getting-started/" target="_blank" rel="noopener noreferrer">ngrok</a> or <a href="https://docs.zrok.io/docs/getting-started" target="_blank" rel="noopener noreferrer">zrok</a> to make your server public.</p>
 <p>When your Langflow server is public, you can do things like <a href="#deploy-your-mcp-server-externally">deploy your Langflow MCP server externally</a>, <a href="#serve-api-requests">serve API requests</a>, and <a href="#share-a-flows-playground">share a flow&#x27;s <strong>Playground</strong> publicly</a>.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
-<ul>
-<li>
-<p><a href="/get-started-installation">Install Langflow.</a></p>
-</li>
-<li>
-<p>Install a reverse proxy or forwarding service.</p>
+<p>On the machine where you plan to host your Langflow installation, <a href="/get-started-installation">install Langflow</a> and a reverse proxy or forwarding service.</p>
 <p>This guide uses ngrok, but you can use any similar reverse proxy or forwarding platform.</p>
 <p>If you want to follow along with this guide, <a href="https://ngrok.com/docs/getting-started/#1-install-ngrok" target="_blank" rel="noopener noreferrer">install ngrok</a> and <a href="https://dashboard.ngrok.com/get-started/your-authtoken" target="_blank" rel="noopener noreferrer">create an ngrok authtoken</a>.</p>
-</li>
-</ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="expose-your-langflow-server-with-ngrok">Expose your Langflow server with ngrok<a href="#expose-your-langflow-server-with-ngrok" class="hash-link" aria-label="Direct link to Expose your Langflow server with ngrok" title="Direct link to Expose your Langflow server with ngrok">​</a></h2>
 <ol>
 <li>
@@ -95,10 +88,10 @@ To add authentication or deploy a static domain, see the <a href="https://ngrok.
 <p>To send requests to a public Langflow server&#x27;s <a href="/api-reference-api-examples">Langflow API</a> endpoints, use the server&#x27;s domain as the <a href="/api-reference-api-examples#base-url">base URL</a> for your API requests.
 For example:</p>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>curl -X POST \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  &quot;PUBLIC_SERVER_DOMAIN/api/v1/webhook/FLOW_ID&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  -H &quot;Content-Type: application/json&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  -H &quot;x-api-key: LANGFLOW_API_KEY&quot; \</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>  -d &#x27;{&quot;data&quot;: &quot;example-data&quot;}&#x27;</span></div></div><br></code></div></div>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>For flows created on public Langflow servers, the code snippets generated in the <a href="/concepts-publish"><strong>API access</strong> pane</a> automatically use your public server&#x27;s domain.</p></div></div>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>When you create flows on public Langflow servers, the code snippets generated in the <a href="/concepts-publish"><strong>API access</strong> pane</a> automatically use your public server&#x27;s domain.</p></div></div>
 <p>You also use your public domain when making Langflow API calls in scripts, including the code snippets that are automatically generated by Langflow.
 For example, the following code snippet calls an ngrok domain to trigger the specified flow (<code>d764c4b8...</code>):</p>
-<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>import requests</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>url = &quot;https://3f7c-73-64-93-151.ngrok-free.app/api/v1/run/d764c4b8-5cec-4c0f-9de0-4b419b11901a&quot;  # The complete API endpoint URL for this flow</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span># Request payload configuration</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>payload = {</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;output_type&quot;: &quot;chat&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;input_type&quot;: &quot;chat&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;input_value&quot;: &quot;Hello&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span># Request headers</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>headers = {</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;Content-Type&quot;: &quot;application/json&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;x-api-key: LANGFLOW_API_KEY&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>try:</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    # Send API request</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    response = requests.request(&quot;POST&quot;, url, json=payload, headers=headers)</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    response.raise_for_status()  # Raise exception for bad status codes</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    # Print response</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    print(response.text)</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>except requests.exceptions.RequestException as e:</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    print(f&quot;Error making API request: {e}&quot;)</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>except ValueError as e:</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    print(f&quot;Error parsing response: {e}&quot;)</span></div></div><br></code></div></div>
+<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>import requests</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>url = &quot;https://3f7c-73-64-93-151.ngrok-free.app/api/v1/run/d764c4b8-5cec-4c0f-9de0-4b419b11901a&quot;  # The complete API endpoint URL for this flow</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span># Request payload configuration</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>payload = {</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;output_type&quot;: &quot;chat&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;input_type&quot;: &quot;chat&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;input_value&quot;: &quot;Hello&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span># Request headers</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>headers = {</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;Content-Type&quot;: &quot;application/json&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    &quot;x-api-key&quot;: &quot;LANGFLOW_API_KEY&quot;</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>try:</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    # Send API request</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    response = requests.request(&quot;POST&quot;, url, json=payload, headers=headers)</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    response.raise_for_status()  # Raise exception for bad status codes</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    # Print response</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    print(response.text)</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span></span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>except requests.exceptions.RequestException as e:</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    print(f&quot;Error making API request: {e}&quot;)</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>except ValueError as e:</span></div></div><div><span class="ch-code-line-number">_<!-- -->29</span><div style="display:inline-block;margin-left:16px"><span>    print(f&quot;Error parsing response: {e}&quot;)</span></div></div><br></code></div></div>
 <p>For a demo of the Langflow API in a script, see the <a href="/get-started-quickstart">Quickstart</a>.</p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="share-a-flows-playground">Share a flow&#x27;s Playground<a href="#share-a-flows-playground" class="hash-link" aria-label="Direct link to Share a flow&#x27;s Playground" title="Direct link to Share a flow&#x27;s Playground">​</a></h3>
 <p>After you deploy a public Langflow server, you can use the <strong>Shareable Playground</strong> option to make a flow&#x27;s <strong>Playground</strong> available at a public URL.
diff --git a/deployment-railway.html b/deployment-railway.html
index 77ee908f66..d985ccde66 100644
--- a/deployment-railway.html
+++ b/deployment-railway.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/deployment-render.html b/deployment-render.html
index 6b7a207cd2..b9c02590f3 100644
--- a/deployment-render.html
+++ b/deployment-render.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -48,9 +48,14 @@
           </div>
         </a>
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Deploy</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Containerized deployments</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Render</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>Deploy Langflow on Render</h1></header><p>This guide explains how to deploy Langflow on <a href="https://render.com/" target="_blank" rel="noopener noreferrer">Render</a>, a cloud platform for deploying web applications and APIs.</p>
-<div class="theme-admonition theme-admonition-note admonition_xJq3 alert alert--secondary"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M6.3 5.69a.942.942 0 0 1-.28-.7c0-.28.09-.52.28-.7.19-.18.42-.28.7-.28.28 0 .52.09.7.28.18.19.28.42.28.7 0 .28-.09.52-.28.7a1 1 0 0 1-.7.3c-.28 0-.52-.11-.7-.3zM8 7.99c-.02-.25-.11-.48-.31-.69-.2-.19-.42-.3-.69-.31H6c-.27.02-.48.13-.69.31-.2.2-.3.44-.31.69h1v3c.02.27.11.5.31.69.2.2.42.31.69.31h1c.27 0 .48-.11.69-.31.2-.19.3-.42.31-.69H8V7.98v.01zM7 2.3c-3.14 0-5.7 2.54-5.7 5.68 0 3.14 2.56 5.7 5.7 5.7s5.7-2.55 5.7-5.7c0-3.15-2.56-5.69-5.7-5.69v.01zM7 .98c3.86 0 7 3.14 7 7s-3.14 7-7 7-7-3.12-7-7 3.14-7 7-7z"></path></svg></span>note</div><div class="admonitionContent_BuS1"><p>Langflow requires at least 2 GB of RAM to run, so it uses a <strong>standard</strong> Render instance. This may require a credit card. Review <a href="https://render.com/pricing" target="_blank" rel="noopener noreferrer">Render&#x27;s pricing</a> before proceeding.</p></div></div>
 <ol>
 <li>
+<p>Prepare a Render instance that can support Langflow.</p>
+<p>Langflow requires at least 2 GB of RAM to run, so you must use a <strong>Standard</strong> or better Render instance type.
+This requires a paid Render account.
+For more information, see <a href="https://render.com/docs/web-services" target="_blank" rel="noopener noreferrer">Render Web Services</a> and <a href="https://render.com/pricing" target="_blank" rel="noopener noreferrer">Render pricing</a>.</p>
+</li>
+<li>
 <p>Click the following button to go to Render:</p>
 <p><a href="https://render.com/deploy?repo=https%3A%2F%2Fgithub.com%2Flangflow-ai%2Flangflow%2Ftree%2Fdev" target="_blank" rel="noopener noreferrer"><img decoding="async" loading="lazy" alt="Deploy to Render" src="data:image/svg+xml;base64,<svg width="153" height="40" viewBox="0 0 153 40" fill="none" xmlns="http://www.w3.org/2000/svg">
<rect width="153" height="40" fill="#8A05FF"/>
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</svg>
" width="153" height="40" class="img_ev3q"></a></p>
 </li>
@@ -58,11 +63,10 @@
 <p>Enter a blueprint name, and then select the branch for your <code>render.yaml</code> file.</p>
 </li>
 <li>
-<p>Click <strong>Deploy Blueprint</strong>.</p>
+<p>Click <strong>Deploy Blueprint</strong>, and then wait for the deployment to complete.
+Once complete, your Langflow instance is ready to use.</p>
 </li>
-</ol>
-<p>Wait for the deployment to complete.</p>
-<p>Your Langflow instance is now ready to use.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/deployment-railway"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Railway</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/concepts-components"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Components overview</div></a></nav></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+</ol></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/deployment-railway"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Railway</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/concepts-components"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Components overview</div></a></nav></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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diff --git a/develop-application.html b/develop-application.html
index 2327ca7f1d..2ee4bd874e 100644
--- a/develop-application.html
+++ b/develop-application.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/document-qa.html b/document-qa.html
index 6abb0adac4..fbea8fe504 100644
--- a/document-qa.html
+++ b/document-qa.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -50,8 +50,8 @@
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Flows</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Flow templates</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Document QA</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Document QA</h1></header><p>This flow demonstrates adding a file to the <a href="/components-data#file">File</a> component to load a document from your local machine into your flow.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-the-document-qa-flow">Create the document QA flow<a href="#create-the-document-qa-flow" class="hash-link" aria-label="Direct link to Create the document QA flow" title="Direct link to Create the document QA flow">​</a></h2>
 <ol>
diff --git a/environment-variables.html b/environment-variables.html
index d707101f24..e4e8aea1e6 100644
--- a/environment-variables.html
+++ b/environment-variables.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/financial-report-parser.html b/financial-report-parser.html
index b4acabf3ba..f3d664353c 100644
--- a/financial-report-parser.html
+++ b/financial-report-parser.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -54,8 +54,8 @@
 The <a href="/components-processing#structured-output">Structured output</a> component is used to extract the financial data from the report, and the <a href="/components-processing#parser">Parser</a> component is used to convert the extracted data into a structured format.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-the-financial-report-parser-flow">Create the financial report parser flow<a href="#create-the-financial-report-parser-flow" class="hash-link" aria-label="Direct link to Create the financial report parser flow" title="Direct link to Create the financial report parser flow">​</a></h2>
 <ol>
diff --git a/get-started-installation.html b/get-started-installation.html
index f8c8aaddd0..0a70ad195d 100644
--- a/get-started-installation.html
+++ b/get-started-installation.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/get-started-quickstart.html b/get-started-quickstart.html
index a2d6ea84d8..18eb381ef3 100644
--- a/get-started-quickstart.html
+++ b/get-started-quickstart.html
@@ -23,7 +23,7 @@
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diff --git a/index.html b/index.html
index 23ba551c5a..98e06a743b 100644
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diff --git a/install-custom-dependencies.html b/install-custom-dependencies.html
index 92aa6b0818..3ae4c573bd 100644
--- a/install-custom-dependencies.html
+++ b/install-custom-dependencies.html
@@ -23,7 +23,7 @@
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@@ -107,7 +107,13 @@
 <li>Or as an optional dependency:</li>
 </ul>
 <div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>[project.optional-dependencies]</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>plotting = [</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>    &quot;matplotlib&gt;=3.8.0&quot;,</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>]</span></div></div><br></code></div></div>
-<p>The <code>make</code> commands add the dependency with <code>uv add</code> and update the <code>uv.lock</code> file in the appropriate location.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/mcp-component-astra"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Connect an Astra DB MCP server to Langflow</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/configuration-api-keys"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">API keys</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#langflow-desktop" class="table-of-contents__link toc-highlight">Install custom dependencies in Langflow Desktop</a></li><li><a href="#install-custom-dependencies-in-langflow-oss" class="table-of-contents__link toc-highlight">Install custom dependencies in Langflow OSS</a><ul><li><a href="#install-optional-dependency-groups" class="table-of-contents__link toc-highlight">Install optional dependency groups</a></li><li><a href="#use-a-virtual-environment-to-test-custom-dependencies" class="table-of-contents__link toc-highlight">Use a virtual environment to test custom dependencies</a></li></ul></li><li><a href="#add-dependencies-to-the-langflow-codebase" class="table-of-contents__link toc-highlight">Add dependencies to the Langflow codebase</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+<p>The <code>make</code> commands add the dependency with <code>uv add</code> and update the <code>uv.lock</code> file in the appropriate location.</p>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also">​</a></h2>
+<ul>
+<li><a href="/develop-application">Containerize a Langflow application</a></li>
+<li><a href="/components-custom-components">Create custom Python components</a></li>
+<li><a href="/integrations-docling"><strong>Docling</strong> bundle</a></li>
+</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/mcp-component-astra"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Connect an Astra DB MCP server to Langflow</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/configuration-api-keys"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">API keys</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#langflow-desktop" class="table-of-contents__link toc-highlight">Install custom dependencies in Langflow Desktop</a></li><li><a href="#install-custom-dependencies-in-langflow-oss" class="table-of-contents__link toc-highlight">Install custom dependencies in Langflow OSS</a><ul><li><a href="#install-optional-dependency-groups" class="table-of-contents__link toc-highlight">Install optional dependency groups</a></li><li><a href="#use-a-virtual-environment-to-test-custom-dependencies" class="table-of-contents__link toc-highlight">Use a virtual environment to test custom dependencies</a></li></ul></li><li><a href="#add-dependencies-to-the-langflow-codebase" class="table-of-contents__link toc-highlight">Add dependencies to the Langflow codebase</a></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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diff --git a/integrations-apify.html b/integrations-apify.html
index 4e6b3dda03..a1d3185f16 100644
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+++ b/integrations-apify.html
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index 8f4fe4d889..40f7259e64 100644
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menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" tabindex="0" href="/integrations-arize">Monitoring</a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/integrations-arize">Arize</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langfuse">Langfuse</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langsmith">LangSmith</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langwatch">LangWatch</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a 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class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/contributing-community">Contribute</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/release-notes">Release notes</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/troubleshoot">Support</a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 sidebar-ad">
         <a href="https://www.langflow.org/desktop" target="_blank" class="menu__link">
           <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
             <g clip-path="url(#clip0_1645_37)">
@@ -47,7 +47,7 @@
             <span class="sidebar-ad-text sidebar-ad-text-gradient">Download Langflow Desktop</span>
           </div>
         </a>
-      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Arize</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Arize</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
+      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Monitoring</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Arize</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Arize</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
 <p>Arize is a tool built on <a href="https://opentelemetry.io/" target="_blank" rel="noopener noreferrer">OpenTelemetry</a> and <a href="https://docs.arize.com/phoenix/reference/open-inference" target="_blank" rel="noopener noreferrer">OpenInference</a> for monitoring and optimizing LLM applications.</p>
 <p>To enable Arize tracing, set the required Arize environment variables in your Langflow deployment.
diff --git a/integrations-assemblyai.html b/integrations-assemblyai.html
index b15bf60ca8..1ab437063e 100644
--- a/integrations-assemblyai.html
+++ b/integrations-assemblyai.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -61,9 +61,15 @@
 <li><a href="https://www.assemblyai.com/dashboard/signup" target="_blank" rel="noopener noreferrer">Get a Free API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
-<p>You need an <strong>AssemblyAI API key</strong>. After creating a free account, you&#x27;ll find the API key in your dashboard. <a href="https://www.assemblyai.com/dashboard/signup" target="_blank" rel="noopener noreferrer">Get a Free API key here</a>.</p>
-<p>Enter the key in the <em>AssemblyAI API Key</em> field in all components that require the key.</p>
-<p>(Optional): To use LeMUR, you need to upgrade your AssemblyAI account, since this is not included in the free account.</p>
+<ul>
+<li>
+<p>An <a href="https://www.assemblyai.com/dashboard/signup" target="_blank" rel="noopener noreferrer">AssemblyAI account</a> and an AssemblyAI API key.</p>
+<p>Enter the key in the <em>AssemblyAI API Key</em> field in all Langflow components that require the AssemblyAI key.</p>
+</li>
+<li>
+<p>Optional: To use LeMUR, you need a paid AssemblyAI account because LeMUR isn&#x27;t included in the free account.</p>
+</li>
+</ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="components">Components<a href="#components" class="hash-link" aria-label="Direct link to Components" title="Direct link to Components">​</a></h2>
 <p><img decoding="async" loading="lazy" alt="AssemblyAI components" src="/assets/images/assemblyai-components-b88c7c97e04114bf658898f7fc633e23.png" width="1494" height="1048" class="img_ev3q"></p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="assemblyai-start-transcript">AssemblyAI Start Transcript<a href="#assemblyai-start-transcript" class="hash-link" aria-label="Direct link to AssemblyAI Start Transcript" title="Direct link to AssemblyAI Start Transcript">​</a></h3>
diff --git a/integrations-cleanlab.html b/integrations-cleanlab.html
index 8c32895cc2..e2f4a38a21 100644
--- a/integrations-cleanlab.html
+++ b/integrations-cleanlab.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -79,7 +79,7 @@ You can toggle parameters through the <svg xmlns="http://www.w3.org/2000/svg" wi
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="example-cleanlab-flows">Example Cleanlab flows<a href="#example-cleanlab-flows" class="hash-link" aria-label="Direct link to Example Cleanlab flows" title="Direct link to Example Cleanlab flows">​</a></h2>
 <p>The following example flows show how to use the <strong>CleanlabEvaluator</strong> and <strong>CleanlabRemediator</strong> components to evaluate and remediate responses from any LLM, and how to use the <code>CleanlabRAGEvaluator</code> component to evaluate RAG pipeline outputs.</p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="evaluate-and-remediate-responses-from-an-llm">Evaluate and remediate responses from an LLM<a href="#evaluate-and-remediate-responses-from-an-llm" class="hash-link" aria-label="Direct link to Evaluate and remediate responses from an LLM" title="Direct link to Evaluate and remediate responses from an LLM">​</a></h3>
-<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>You can <a href="/assets/files/eval_and_remediate_cleanlab-aac380677836d5237ad3db4405aae6f7.json" target="_blank">download the the Evaluate and Remediate flow</a>, and then import it to your Langflow instance to follow along.</p></div></div>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>You can <a href="/assets/files/eval_and_remediate_cleanlab-aac380677836d5237ad3db4405aae6f7.json" target="_blank">download the Evaluate and Remediate flow</a>, and then <a href="/concepts-flows-import">import the flow</a> to your Langflow instance to follow along.</p></div></div>
 <p>This flow evaluates and remediates the trustworthiness of a response from any LLM using the <strong>CleanlabEvaluator</strong> and <strong>CleanlabRemediator</strong> components.</p>
 <p><img decoding="async" loading="lazy" alt="Evaluate response trustworthiness" src="/assets/images/eval_response-5947d6e0eb45b0feec6a36d4b489bf99.png" width="3092" height="1468" class="img_ev3q"></p>
 <p>Connect the <code>Message</code> output from any LLM component to the <code>response</code> input of the <strong>CleanlabEvaluator</strong> component, and then connect the Prompt component to its <code>prompt</code> input.</p>
diff --git a/integrations-composio.html b/integrations-composio.html
index 8536a581f7..76d22c7b53 100644
--- a/integrations-composio.html
+++ b/integrations-composio.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/integrations-docling.html b/integrations-docling.html
index a85abbc761..a3e79f832e 100644
--- a/integrations-docling.html
+++ b/integrations-docling.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -50,9 +50,8 @@
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Components reference</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Bundles</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Docling</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Docling</h1></header><p>Langflow integrates with <a href="https://docling-project.github.io/docling/" target="_blank" rel="noopener noreferrer">Docling</a> through a bundle of components for parsing documents.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="install-docling-dependency">Install Docling dependency<a href="#install-docling-dependency" class="hash-link" aria-label="Direct link to Install Docling dependency" title="Direct link to Install Docling dependency">​</a></h2>
 <div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>You must install the Docling dependency to use the Docling components in Langflow.</p></div></div>
-<p>Install the Docling extra in Langflow OSS with <code>uv pip install &#x27;langflow[docling]&#x27;</code>.</p>
-<p>To add a dependency to Langflow Desktop, add an entry for Docling to the application&#x27;s <code>requirements.txt</code> file.
-For more information, see <a href="/install-custom-dependencies#langflow-desktop">Install custom dependencies in Langflow Desktop</a>.</p>
+<div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">Langflow OSS</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Langflow Desktop</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><p>Install the Docling extra in Langflow OSS with <code>uv pip install &#x27;langflow[docling]&#x27;</code>.</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>To add a dependency to Langflow Desktop, add an entry for Docling to the application&#x27;s <code>requirements.txt</code> file.
+For more information, see <a href="/install-custom-dependencies#langflow-desktop">Install custom dependencies in Langflow Desktop</a>.</p></div></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-docling-components-in-a-flow">Use Docling components in a flow<a href="#use-docling-components-in-a-flow" class="hash-link" aria-label="Direct link to Use Docling components in a flow" title="Direct link to Use Docling components in a flow">​</a></h2>
 <div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>To learn more about content extraction with Docling, see the video tutorial <a href="https://www.youtube.com/watch?v=5DuS6uRI5OM" target="_blank" rel="noopener noreferrer">Docling + Langflow: Document Processing for AI Workflows</a>.</p></div></div>
 <p>This example demonstrates how to use Docling components to split a PDF in a flow:</p>
diff --git a/integrations-google-big-query.html b/integrations-google-big-query.html
index 24afa16101..ae98bca757 100644
--- a/integrations-google-big-query.html
+++ b/integrations-google-big-query.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -55,6 +55,7 @@
 <li>A <a href="https://developers.google.com/workspace/guides/create-project" target="_blank" rel="noopener noreferrer">Google Cloud project</a> with the BigQuery API enabled</li>
 <li>A <a href="https://developers.google.com/workspace/guides/create-credentials#service-account" target="_blank" rel="noopener noreferrer">service account</a> with the <strong>BigQuery Job User</strong> role</li>
 <li>A <a href="https://cloud.google.com/bigquery/docs/datasets-intro" target="_blank" rel="noopener noreferrer">BigQuery dataset and table</a></li>
+<li>A <a href="/get-started-installation">running Langflow server</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-a-service-account-with-bigquery-access">Create a service account with BigQuery access<a href="#create-a-service-account-with-bigquery-access" class="hash-link" aria-label="Direct link to Create a service account with BigQuery access" title="Direct link to Create a service account with BigQuery access">​</a></h2>
 <ol>
diff --git a/integrations-langfuse.html b/integrations-langfuse.html
index 1428072fab..0c86ec721a 100644
--- a/integrations-langfuse.html
+++ b/integrations-langfuse.html
@@ -23,14 +23,14 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
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menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" tabindex="0" href="/integrations-arize">Monitoring</a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-arize">Arize</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/integrations-langfuse">Langfuse</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langsmith">LangSmith</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langwatch">LangWatch</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-opik">Opik</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/contributing-telemetry">Telemetry</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/data-types">Use Langflow data types</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/concepts-voice-mode">Use voice mode</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/configuration-cli">Use the Langflow CLI</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a 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class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/contributing-community">Contribute</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/release-notes">Release notes</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/troubleshoot">Support</a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 sidebar-ad">
         <a href="https://www.langflow.org/desktop" target="_blank" class="menu__link">
           <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
             <g clip-path="url(#clip0_1645_37)">
@@ -47,7 +47,7 @@
             <span class="sidebar-ad-text sidebar-ad-text-gradient">Download Langflow Desktop</span>
           </div>
         </a>
-      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Langfuse</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Langfuse</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
+      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Monitoring</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Langfuse</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Langfuse</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
 <p><a href="https://langfuse.com" target="_blank" rel="noopener noreferrer">Langfuse</a> is an open-source platform for LLM observability. It provides tracing and monitoring capabilities for AI applications, helping developers debug, analyze, and optimize their AI systems. Langfuse integrates with various tools and frameworks, including workflow builders and runtimes like Langflow.</p>
 <p>This guide explains how to configure Langflow to collect <a href="https://langfuse.com/docs/tracing" target="_blank" rel="noopener noreferrer">tracing</a> data about your flow executions and automatically send the data to Langfuse.</p>
diff --git a/integrations-langsmith.html b/integrations-langsmith.html
index 18330123b0..7d67f4d6e9 100644
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menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" tabindex="0" href="/integrations-arize">Monitoring</a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-arize">Arize</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langfuse">Langfuse</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/integrations-langsmith">LangSmith</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langwatch">LangWatch</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-opik">Opik</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/contributing-telemetry">Telemetry</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/data-types">Use Langflow data types</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/concepts-voice-mode">Use voice mode</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/configuration-cli">Use the Langflow CLI</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a 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         <a href="https://www.langflow.org/desktop" target="_blank" class="menu__link">
           <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
             <g clip-path="url(#clip0_1645_37)">
@@ -47,7 +47,7 @@
             <span class="sidebar-ad-text sidebar-ad-text-gradient">Download Langflow Desktop</span>
           </div>
         </a>
-      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">LangSmith</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>LangSmith</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
+      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Monitoring</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">LangSmith</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>LangSmith</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <p>LangSmith is a full-lifecycle DevOps service from LangChain that provides monitoring and observability. To integrate with Langflow, add your LangChain API key and configuration as Langflow environment variables, and then start Langflow.</p>
 <ol>
 <li>Obtain your LangChain API key from <a href="https://smith.langchain.com/" target="_blank" rel="noopener noreferrer">https://smith.langchain.com</a></li>
diff --git a/integrations-langwatch.html b/integrations-langwatch.html
index 36bd0c1797..276a0387d4 100644
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navbar__items"><button aria-label="Toggle navigation bar" aria-expanded="false" class="navbar__toggle clean-btn" type="button"><svg width="30" height="30" viewBox="0 0 30 30" aria-hidden="true"><path stroke="currentColor" stroke-linecap="round" stroke-miterlimit="10" stroke-width="2" d="M4 7h22M4 15h22M4 23h22"></path></svg></button><a class="navbar__brand" href="/"><div class="navbar__logo"><img src="/img/lf-docs-light.svg" alt="Langflow" class="themedComponent_mlkZ themedComponent--light_NVdE"><img src="/img/lf-docs-dark.svg" alt="Langflow" class="themedComponent_mlkZ themedComponent--dark_xIcU"></div></a></div><div class="theme-layout-navbar-right navbar__items navbar__items--right"><a href="https://github.com/langflow-ai/langflow" target="_blank" class="navbar__item navbar__link header-github-link" data-event="Docs.langflow.org - Social Clicked" data-platform="github"></a><a href="https://twitter.com/langflow_ai" target="_blank" class="navbar__item navbar__link header-twitter-link" 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menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" tabindex="0" href="/integrations-arize">Monitoring</a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-arize">Arize</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langfuse">Langfuse</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-langsmith">LangSmith</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/integrations-langwatch">LangWatch</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/integrations-opik">Opik</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/contributing-telemetry">Telemetry</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/data-types">Use Langflow data types</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/concepts-voice-mode">Use voice mode</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/configuration-cli">Use the Langflow CLI</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/deployment-overview">Deploy</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/concepts-components">Components reference</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/api-reference-api-examples">API reference</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/contributing-community">Contribute</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/release-notes">Release notes</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/troubleshoot">Support</a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 sidebar-ad">
         <a href="https://www.langflow.org/desktop" target="_blank" class="menu__link">
           <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
             <g clip-path="url(#clip0_1645_37)">
@@ -47,7 +47,7 @@
             <span class="sidebar-ad-text sidebar-ad-text-gradient">Download Langflow Desktop</span>
           </div>
         </a>
-      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">LangWatch</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>LangWatch</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
+      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Monitoring</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">LangWatch</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>LangWatch</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <p><a href="https://app.langwatch.ai/" target="_blank" rel="noopener noreferrer">LangWatch</a> is an all-in-one LLMOps platform for monitoring, observability, analytics, evaluations and alerting for getting user insights and improve your LLM workflows.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="integrate-langwatch-observability">Integrate LangWatch observability<a href="#integrate-langwatch-observability" class="hash-link" aria-label="Direct link to Integrate LangWatch observability" title="Direct link to Integrate LangWatch observability">​</a></h2>
 <p>To integrate with Langflow, add your LangWatch API key as a Langflow environment variable:</p>
diff --git a/integrations-nvidia-g-assist.html b/integrations-nvidia-g-assist.html
index 6dbbb89c39..301f15e657 100644
--- a/integrations-nvidia-g-assist.html
+++ b/integrations-nvidia-g-assist.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -55,7 +55,7 @@
 <ul>
 <li>Windows operating system</li>
 <li>NVIDIA GPU</li>
-<li><code>gassist.rise</code> package installed. This package is already installed with Langflow.</li>
+<li><code>gassist.rise</code> package installed. This package is included in your <a href="/get-started-installation">Langflow installation</a>.</li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-the-g-assist-component-in-a-flow">Use the G-Assist component in a flow<a href="#use-the-g-assist-component-in-a-flow" class="hash-link" aria-label="Direct link to Use the G-Assist component in a flow" title="Direct link to Use the G-Assist component in a flow">​</a></h2>
 <ol>
diff --git a/integrations-nvidia-ingest-wsl2.html b/integrations-nvidia-ingest-wsl2.html
index 35204b4587..16f53dc8c1 100644
--- a/integrations-nvidia-ingest-wsl2.html
+++ b/integrations-nvidia-ingest-wsl2.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -47,17 +47,26 @@
             <span class="sidebar-ad-text sidebar-ad-text-gradient">Download Langflow Desktop</span>
           </div>
         </a>
-      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Components reference</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Bundles</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">NVIDIA</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">NVIDIA NIM on WSL2</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Integrate NVIDIA NIMs with Langflow</h1></header><p>Connect <strong>Langflow</strong> with <strong>NVIDIA NIM</strong> on an RTX Windows system with <a href="https://learn.microsoft.com/en-us/windows/wsl/install" target="_blank" rel="noopener noreferrer">Windows Subsystem for Linux 2 (WSL2)</a> installed.</p>
+      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Components reference</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Bundles</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">NVIDIA</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">NVIDIA NIM on WSL2</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Integrate NVIDIA NIMs with Langflow</h1></header><p>Connect Langflow with NVIDIA NIM on an RTX Windows system with <a href="https://learn.microsoft.com/en-us/windows/wsl/install" target="_blank" rel="noopener noreferrer">Windows Subsystem for Linux 2 (WSL2)</a> installed.</p>
 <p><a href="https://docs.nvidia.com/nim/index.html" target="_blank" rel="noopener noreferrer">NVIDIA NIM (NVIDIA Inference Microservices)</a> provides containers to self-host GPU-accelerated inferencing microservices.
 In this example, you connect a model component in <strong>Langflow</strong> to a deployed <code>mistral-nemo-12b-instruct</code> NIM on an <strong>RTX Windows system</strong> with <strong>WSL2</strong>.</p>
 <p>For more information on NVIDIA NIM, see the <a href="https://docs.nvidia.com/nim/index.html" target="_blank" rel="noopener noreferrer">NVIDIA documentation</a>.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="https://docs.nvidia.com/nim/wsl2/latest/getting-started.html" target="_blank" rel="noopener noreferrer">NVIDIA NIM WSL2 installed</a></li>
-<li>A NIM container deployed according to the model&#x27;s instructions. Prerequisites vary between models.
-For example, to deploy the <code>mistral-nemo-12b-instruct</code> NIM, follow the instructions for <strong>Windows on RTX AI PCs (Beta)</strong> on your <a href="https://build.nvidia.com/nv-mistralai/mistral-nemo-12b-instruct/deploy?environment=wsl2.md" target="_blank" rel="noopener noreferrer">model&#x27;s deployment overview</a></li>
-<li>Windows 11 build 23H2 or later</li>
-<li>At least 12 GB of RAM</li>
+<li>
+<p><a href="https://docs.nvidia.com/nim/wsl2/latest/getting-started.html" target="_blank" rel="noopener noreferrer">NVIDIA NIM WSL2 installed</a></p>
+</li>
+<li>
+<p>A NIM container deployed according to the model&#x27;s instructions</p>
+<p>Prerequisites vary between models.
+For example, to deploy the <code>mistral-nemo-12b-instruct</code> NIM, follow the instructions for <strong>Windows on RTX AI PCs (Beta)</strong> on your <a href="https://build.nvidia.com/nv-mistralai/mistral-nemo-12b-instruct/deploy?environment=wsl2.md" target="_blank" rel="noopener noreferrer">model&#x27;s deployment overview</a>.</p>
+</li>
+<li>
+<p>Windows 11 build 23H2 or later</p>
+</li>
+<li>
+<p>At least 12 GB of RAM</p>
+</li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-the-nvidia-nim-in-a-flow">Use the NVIDIA NIM in a flow<a href="#use-the-nvidia-nim-in-a-flow" class="hash-link" aria-label="Direct link to Use the NVIDIA NIM in a flow" title="Direct link to Use the NVIDIA NIM in a flow">​</a></h2>
 <p>To connect the NIM you&#x27;ve deployed with Langflow, add the <strong>NVIDIA</strong> model component to a flow.</p>
diff --git a/integrations-nvidia-ingest.html b/integrations-nvidia-ingest.html
index 5d7280d150..8e3a9d9c6d 100644
--- a/integrations-nvidia-ingest.html
+++ b/integrations-nvidia-ingest.html
@@ -3,7 +3,7 @@
 <head>
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+<title data-rh="true">Integrate NVIDIA Retriever Extraction with Langflow | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/integrations-nvidia-ingest"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Integrate NVIDIA Retriever Extraction with Langflow | Langflow Documentation"><meta data-rh="true" name="description" content="The NVIDIA Retriever Extraction component integrates with the NVIDIA nv-ingest microservice for data ingestion, processing, and extraction of text files."><meta data-rh="true" property="og:description" content="The NVIDIA Retriever Extraction component integrates with the NVIDIA nv-ingest microservice for data ingestion, processing, and extraction of text files."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/integrations-nvidia-ingest"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/integrations-nvidia-ingest" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/integrations-nvidia-ingest" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"NVIDIA Ingest","item":"https://docs.langflow.org/integrations-nvidia-ingest"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
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-<div class="theme-admonition theme-admonition-note admonition_xJq3 alert alert--secondary"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M6.3 5.69a.942.942 0 0 1-.28-.7c0-.28.09-.52.28-.7.19-.18.42-.28.7-.28.28 0 .52.09.7.28.18.19.28.42.28.7 0 .28-.09.52-.28.7a1 1 0 0 1-.7.3c-.28 0-.52-.11-.7-.3zM8 7.99c-.02-.25-.11-.48-.31-.69-.2-.19-.42-.3-.69-.31H6c-.27.02-.48.13-.69.31-.2.2-.3.44-.31.69h1v3c.02.27.11.5.31.69.2.2.42.31.69.31h1c.27 0 .48-.11.69-.31.2-.19.3-.42.31-.69H8V7.98v.01zM7 2.3c-3.14 0-5.7 2.54-5.7 5.68 0 3.14 2.56 5.7 5.7 5.7s5.7-2.55 5.7-5.7c0-3.15-2.56-5.69-5.7-5.69v.01zM7 .98c3.86 0 7 3.14 7 7s-3.14 7-7 7-7-3.12-7-7 3.14-7 7-7z"></path></svg></span>note</div><div class="admonitionContent_BuS1"><p>NVIDIA Retriever Extraction is also known as NV-Ingest and NeMo Retriever Extraction.</p></div></div>
 <p>The <strong>NVIDIA Retriever Extraction</strong> component integrates with the <a href="https://github.com/NVIDIA/nv-ingest" target="_blank" rel="noopener noreferrer">NVIDIA nv-ingest</a> microservice for data ingestion, processing, and extraction of text files.</p>
 <p>The <code>nv-ingest</code> service supports multiple extraction methods for PDF, DOCX, and PPTX file types, and includes pre-  and post-processing services like splitting, chunking, and embedding generation. The extractor service&#x27;s High Resolution mode uses the <code>nemoretriever-parse</code> extraction method for better quality extraction from scanned PDF documents. This feature is only available for PDF files.</p>
 <p>The <strong>NVIDIA Retriever Extraction</strong> component imports the NVIDIA <code>Ingestor</code> client, ingests files with requests to the NVIDIA ingest endpoint, and outputs the processed content as a list of <a href="/data-types#data">Data</a> objects. <code>Ingestor</code> accepts additional configuration options for data extraction from other text formats. To configure these options, see the <a href="/integrations-nvidia-ingest#parameters">component parameters</a>.</p>
+<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>NVIDIA Retriever Extraction is also known as NV-Ingest and NeMo Retriever Extraction.</p></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
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         <a href="https://www.langflow.org/desktop" target="_blank" class="menu__link">
           <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
             <g clip-path="url(#clip0_1645_37)">
@@ -47,7 +47,7 @@
             <span class="sidebar-ad-text sidebar-ad-text-gradient">Download Langflow Desktop</span>
           </div>
         </a>
-      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Opik</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Opik</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
+      </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Develop</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Observability</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Monitoring</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Opik</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Opik</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
 <p><a href="https://www.comet.com/site/products/opik/" target="_blank" rel="noopener noreferrer">Opik</a> is an open-source platform designed for evaluating, testing, and monitoring large language model (LLM) applications. Developed by Comet, it aims to facilitate more intuitive collaboration, testing, and monitoring of LLM-based applications.</p>
 <p>You can configure Langflow to collect <a href="https://www.comet.com/docs/opik/tracing/log_traces" target="_blank" rel="noopener noreferrer">tracing</a> data about your flow executions and automatically send the data to Opik.</p>
diff --git a/integrations/notion/notion-agent-conversational.html b/integrations/notion/notion-agent-conversational.html
index f650010b6e..540613547d 100644
--- a/integrations/notion/notion-agent-conversational.html
+++ b/integrations/notion/notion-agent-conversational.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -52,10 +52,10 @@
 <p><img decoding="async" loading="lazy" alt="Notion Components Toolkit" src="/assets/images/notion_conversational_agent_tools-6952705eb98e10bd4a67b74500a6189d.png" width="1188" height="793" class="img_ev3q"></p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/integrations/notion/setup">Notion App</a></li>
-<li><a href="https://www.notion.so/my-integrations" target="_blank" rel="noopener noreferrer">Notion account and API key</a></li>
-<li><a href="https://platform.openai.com/account/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
-<li><a href="/assets/files/Conversational_Notion_Agent-29ab60cb11e52e7bbb1a4917f4799629.json" target="_blank">Download Flow Conversation Agent Flow</a>(Download link)</li>
+<li><a href="/integrations/notion/setup">A Notion App</a></li>
+<li><a href="https://www.notion.so/my-integrations" target="_blank" rel="noopener noreferrer">A Notion account and API key</a></li>
+<li><a href="https://platform.openai.com/account/api-keys" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li>Recommended: <a href="/assets/files/Conversational_Notion_Agent-29ab60cb11e52e7bbb1a4917f4799629.json" target="_blank">Download the Conversation Agent Flow JSON</a>, and then <a href="/concepts-flows-import">import the flow</a> into Langflow.</li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="components">Components<a href="#components" class="hash-link" aria-label="Direct link to Components" title="Direct link to Components">​</a></h2>
 <ul>
diff --git a/integrations/notion/notion-agent-meeting-notes.html b/integrations/notion/notion-agent-meeting-notes.html
index 4206283298..4a86e78509 100644
--- a/integrations/notion/notion-agent-meeting-notes.html
+++ b/integrations/notion/notion-agent-meeting-notes.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -50,12 +50,12 @@
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Components reference</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Bundles</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Notion</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Notion Meeting Notes Agent</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Notion Meeting Notes Agent</h1></header><p>The Notion Agent for Meeting Notes is an AI-powered tool that automatically processes meeting transcripts and updates your Notion workspace. It identifies tasks, action items, and key points from your meetings, then creates new tasks or updates existing ones in Notion without manual input.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/integrations/notion/setup">Notion App</a></li>
-<li><a href="https://www.notion.so/my-integrations" target="_blank" rel="noopener noreferrer">Notion API key</a></li>
-<li><a href="https://platform.openai.com/account/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
-<li><a href="/assets/files/Meeting_Notes_Agent-b29188c0cb70736d19dd52965db5f352.json" target="_blank">Download Flow Meeting Agent Flow</a>(Download link)</li>
+<li><a href="/integrations/notion/setup">A Notion App</a></li>
+<li><a href="https://www.notion.so/my-integrations" target="_blank" rel="noopener noreferrer">A Notion API key</a></li>
+<li><a href="https://platform.openai.com/account/api-keys" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li>Recommended: <a href="/assets/files/Meeting_Notes_Agent-b29188c0cb70736d19dd52965db5f352.json" target="_blank">Download the Meeting Agent Flow JSON</a>, and then <a href="/concepts-flows-import">import the flow</a> into Langflow.</li>
 </ul>
-<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>Before using this flow, ensure you have obtained the necessary API keys from Notion and OpenAI. These keys are essential for the flow to function properly. Keep them secure and do not share them publicly.</p></div></div>
+<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>Treat all keys and other credentials as sensitive information. Use secure references, and don&#x27;t share them publicly.</p></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="components">Components<a href="#components" class="hash-link" aria-label="Direct link to Components" title="Direct link to Components">​</a></h2>
 <p><img decoding="async" loading="lazy" alt="Notion Meeting Agent Part 1" src="/assets/images/notion_meeting_agent_part_1-58b920a4f8129f18bbf4483b3e3255a5.png" width="1427" height="645" class="img_ev3q"></p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="meeting-transcript-text-input">Meeting Transcript (text input)<a href="#meeting-transcript-text-input" class="hash-link" aria-label="Direct link to Meeting Transcript (text input)" title="Direct link to Meeting Transcript (text input)">​</a></h3>
diff --git a/integrations/notion/setup.html b/integrations/notion/setup.html
index 9ef6b8b48e..2a5a574299 100644
--- a/integrations/notion/setup.html
+++ b/integrations/notion/setup.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -56,11 +56,11 @@
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-a-notion-integration">Create a Notion Integration<a href="#create-a-notion-integration" class="hash-link" aria-label="Direct link to Create a Notion Integration" title="Direct link to Create a Notion Integration">​</a></h2>
 <ol>
 <li>Go to the <a href="https://www.notion.com/my-integrations" target="_blank" rel="noopener noreferrer">Notion Integrations</a> page.</li>
-<li>Click on the &quot;New integration&quot; button.</li>
-<li>Give your integration a name and select the workspace where you want to use it.</li>
-<li>Click &quot;Submit&quot; to create the integration.</li>
+<li>Click <strong>New Integration</strong>.</li>
+<li>Enter an integration name, and then select the workspace where you want to use it.</li>
+<li>Optional: Enable the <a href="https://developers.notion.com/reference/capabilities" target="_blank" rel="noopener noreferrer">necessary Notion integration capabilities</a> based on your requirements.</li>
+<li>Click <strong>Submit</strong> to create the integration.</li>
 </ol>
-<div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>When creating the integration, make sure to enable the necessary capabilities based on your requirements. Refer to the <a href="https://developers.notion.com/reference/capabilities" target="_blank" rel="noopener noreferrer">Notion Integration Capabilities</a> documentation for more information on each capability.</p></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="configure-integration-capabilities">Configure Integration Capabilities<a href="#configure-integration-capabilities" class="hash-link" aria-label="Direct link to Configure Integration Capabilities" title="Direct link to Configure Integration Capabilities">​</a></h2>
 <p>After creating the integration, you need to configure its capabilities to define what actions it can perform and what data it can access.</p>
 <ol>
@@ -76,21 +76,30 @@
 <li>Save the changes.</li>
 </ol>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="obtain-integration-token">Obtain Integration Token<a href="#obtain-integration-token" class="hash-link" aria-label="Direct link to Obtain Integration Token" title="Direct link to Obtain Integration Token">​</a></h2>
+<div class="theme-admonition theme-admonition-warning admonition_xJq3 alert alert--warning"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>warning</div><div class="admonitionContent_BuS1"><p>Your integration token is a sensitive piece of information. Make sure to keep it secure and never share it publicly. Store it safely in your Langflow configuration or environment variables.</p></div></div>
 <p>To authenticate your integration with Notion, you need to obtain an integration token.</p>
 <ol>
 <li>In the integration settings page, go to the &quot;Secrets&quot; tab.</li>
 <li>Copy the &quot;Internal Integration Token&quot; value. This token will be used to authenticate your integration with Notion.</li>
 </ol>
-<div class="theme-admonition theme-admonition-warning admonition_xJq3 alert alert--warning"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>warning</div><div class="admonitionContent_BuS1"><p>Your integration token is a sensitive piece of information. Make sure to keep it secure and never share it publicly. Store it safely in your Langflow configuration or environment variables.</p></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="grant-integration-access-to-notion-databases">Grant Integration Access to Notion Databases<a href="#grant-integration-access-to-notion-databases" class="hash-link" aria-label="Direct link to Grant Integration Access to Notion Databases" title="Direct link to Grant Integration Access to Notion Databases">​</a></h2>
-<p>For your integration to interact with Notion databases, you need to grant it access to the specific databases it will be working with.</p>
+<p>For your integration to interact with Notion databases, you need to grant it access to the specific databases it must work with:</p>
 <ol>
-<li>Open the Notion database that you want your integration to access.</li>
-<li>Click on the &quot;Share&quot; button in the top-right corner of the page.</li>
-<li>In the &quot;Invite&quot; section, select your integration from the list.</li>
-<li>Click &quot;Invite&quot; to grant the integration access to the database.</li>
+<li>
+<p>Open the Notion database that you want your integration to access.</p>
+</li>
+<li>
+<p>Click <strong>Share</strong>.</p>
+</li>
+<li>
+<p>In the <strong>Invite</strong> section, select your integration from the list.</p>
+</li>
+<li>
+<p>Click <strong>Invite</strong> to grant the integration access to the database.</p>
+<p>If your database contains references to other databases, you need to grant the integration access to those referenced databases as well.
+Repeat this step for each referenced database that your integration must access.</p>
+</li>
 </ol>
-<div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>If your database contains references to other databases, you need to grant the integration access to those referenced databases as well. Repeat step 4 for each referenced database to ensure your integration has the necessary access.</p></div></div>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="build-with-notion-components-in-langflow">Build with Notion components in Langflow<a href="#build-with-notion-components-in-langflow" class="hash-link" aria-label="Direct link to Build with Notion components in Langflow" title="Direct link to Build with Notion components in Langflow">​</a></h2>
 <p>Once you have set up your Notion integration and granted it access to the required databases, you can start using the Notion components in Langflow:</p>
 <ul>
diff --git a/logging.html b/logging.html
index 9c5ecc2fda..ea85f0bc13 100644
--- a/logging.html
+++ b/logging.html
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+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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alt="Langflow" class="themedComponent_mlkZ themedComponent--dark_xIcU"></a><nav aria-label="Docs sidebar" class="menu thin-scrollbar menu_SIkG"><ul class="theme-doc-sidebar-menu menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/">Welcome to Langflow</a></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/about-langflow">Get started</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/concepts-overview">Flows</a></div></li><li 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class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" tabindex="0" href="/integrations-arize">Monitoring</a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/contributing-telemetry">Telemetry</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/data-types">Use Langflow data types</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/concepts-voice-mode">Use voice mode</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/configuration-cli">Use the Langflow CLI</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/deployment-overview">Deploy</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/concepts-components">Components reference</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/api-reference-api-examples">API reference</a></div></li><li class="theme-doc-sidebar-item-category 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sidebar-ad">
         <a href="https://www.langflow.org/desktop" target="_blank" class="menu__link">
           <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
             <g clip-path="url(#clip0_1645_37)">
@@ -109,7 +109,12 @@ For filepaths, see <a href="#log-storage">Log storage</a>.</p>
 For more information, see <a href="/concepts-playground#view-chat-history">View chat history</a>.</p>
 <h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="view-output-from-a-single-component">View output from a single component<a href="#view-output-from-a-single-component" class="hash-link" aria-label="Direct link to View output from a single component" title="Direct link to View output from a single component">​</a></h3>
 <p>When debugging issues with the format or content of a flow&#x27;s output, it can help to inspect each component&#x27;s output to determine where data is being lost or malformed.</p>
-<p>To view the output produced by a single component during the most recent run, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong> in the visual editor.</p></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/configuration-custom-database"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Configure an external PostgreSQL database</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/integrations-arize"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Arize</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#log-storage" class="table-of-contents__link toc-highlight">Log storage</a></li><li><a href="#configure-log-options" class="table-of-contents__link toc-highlight">Configure log options</a></li><li><a href="#flow-and-component-logs" class="table-of-contents__link toc-highlight">Flow and component logs</a><ul><li><a href="#view-flow-logs" class="table-of-contents__link toc-highlight">View flow logs</a></li><li><a href="#view-chat-logs" class="table-of-contents__link toc-highlight">View chat logs</a></li><li><a href="#view-output-from-a-single-component" class="table-of-contents__link toc-highlight">View output from a single component</a></li></ul></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
+<p>To view the output produced by a single component during the most recent run, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong> in the visual editor.</p>
+<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also">​</a></h2>
+<ul>
+<li><a href="/memory">Memory management options</a></li>
+<li><a href="/configuration-custom-database">Configure an external PostgreSQL database</a></li>
+</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/configuration-custom-database"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Configure an external PostgreSQL database</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/integrations-arize"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Arize</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#log-storage" class="table-of-contents__link toc-highlight">Log storage</a></li><li><a href="#configure-log-options" class="table-of-contents__link toc-highlight">Configure log options</a></li><li><a href="#flow-and-component-logs" class="table-of-contents__link toc-highlight">Flow and component logs</a><ul><li><a href="#view-flow-logs" class="table-of-contents__link toc-highlight">View flow logs</a></li><li><a href="#view-chat-logs" class="table-of-contents__link toc-highlight">View chat logs</a></li><li><a href="#view-output-from-a-single-component" class="table-of-contents__link toc-highlight">View output from a single component</a></li></ul></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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diff --git a/luna-for-langflow.html b/luna-for-langflow.html
index 22aa5cd2c2..4c041425ef 100644
--- a/luna-for-langflow.html
+++ b/luna-for-langflow.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/mcp-client.html b/mcp-client.html
index 3c0aa9ba9c..c4476d31b8 100644
--- a/mcp-client.html
+++ b/mcp-client.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/mcp-component-astra.html b/mcp-component-astra.html
index cd6b1c26b2..dd542c9017 100644
--- a/mcp-component-astra.html
+++ b/mcp-component-astra.html
@@ -3,7 +3,7 @@
 <head>
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-<title data-rh="true">Connect an Astra DB MCP server to Langflow | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/mcp-component-astra"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Connect an Astra DB MCP server to Langflow | Langflow Documentation"><meta data-rh="true" name="description" content="Use the MCP Tools component to connect Langflow to a Datastax Astra DB MCP server."><meta data-rh="true" property="og:description" content="Use the MCP Tools component to connect Langflow to a Datastax Astra DB MCP server."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/mcp-component-astra"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/mcp-component-astra" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/mcp-component-astra" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Connect an Astra DB MCP server to Langflow","item":"https://docs.langflow.org/mcp-component-astra"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
+<title data-rh="true">Connect an Astra DB MCP server to Langflow | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/mcp-component-astra"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Connect an Astra DB MCP server to Langflow | Langflow Documentation"><meta data-rh="true" name="description" content="This guide demonstrates how to use Langflow as an MCP client by using the MCP Tools component to run a DataStax Astra DB MCP server in an agentic flow."><meta data-rh="true" property="og:description" content="This guide demonstrates how to use Langflow as an MCP client by using the MCP Tools component to run a DataStax Astra DB MCP server in an agentic flow."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/mcp-component-astra"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/mcp-component-astra" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/mcp-component-astra" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Connect an Astra DB MCP server to Langflow","item":"https://docs.langflow.org/mcp-component-astra"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
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@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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@@ -49,7 +49,7 @@
         </a>
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Model Context Protocol (MCP)</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Connect an Astra DB MCP server to Langflow</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>Connect an Astra DB MCP server to Langflow</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
-<p>Use the <a href="/mcp-client">MCP Tools component</a> to connect Langflow to a <a href="https://github.com/datastax/astra-db-mcp" target="_blank" rel="noopener noreferrer">Datastax Astra DB MCP server</a>.</p>
+<p>This guide demonstrates how to <a href="/mcp-client">use Langflow as an MCP client</a> by using the <strong>MCP Tools</strong> component to run a <a href="https://github.com/datastax/astra-db-mcp" target="_blank" rel="noopener noreferrer">DataStax Astra DB MCP server</a> in an agentic flow.</p>
 <ol>
 <li>
 <p>Install an LTS release of <a href="https://docs.npmjs.com/downloading-and-installing-node-js-and-npm" target="_blank" rel="noopener noreferrer">Node.js</a>.</p>
diff --git a/mcp-server.html b/mcp-server.html
index 8382b46a87..dbe34e20b4 100644
--- a/mcp-server.html
+++ b/mcp-server.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -59,7 +59,7 @@
 <p>A <a href="/concepts-flows#projects">Langflow project</a> with at least one flow.</p>
 </li>
 <li>
-<p>Any LTS version of <a href="https://docs.npmjs.com/downloading-and-installing-node-js-and-npm" target="_blank" rel="noopener noreferrer">Node.js</a> installed on your computer to use MCP Inspector to <a href="#test-and-debug-flows">test and debug flows</a>.</p>
+<p>Any LTS version of <a href="https://docs.npmjs.com/downloading-and-installing-node-js-and-npm" target="_blank" rel="noopener noreferrer">Node.js</a> installed on your computer if you want to use MCP Inspector to <a href="#test-and-debug-flows">test and debug flows</a>.</p>
 </li>
 <li>
 <p><a href="https://ngrok.com/docs/getting-started/#1-install-ngrok" target="_blank" rel="noopener noreferrer">ngrok installed</a> and an <a href="https://dashboard.ngrok.com/get-started/your-authtoken" target="_blank" rel="noopener noreferrer">ngrok authtoken</a> if you want to <a href="/deployment-public-server">deploy a public Langflow server</a>.</p>
@@ -74,7 +74,7 @@
 <li>
 <p>From the Langflow dashboard, select the project that contains the flows you want to serve as tools, and then click the <strong>MCP Server</strong> tab.
 Alternatively, you can quickly access the <strong>MCP Server</strong> tab from within any flow by selecting <strong>Share &gt; MCP Server</strong>.</p>
-<p>The <strong>Auto install</strong> and <strong>JSON</strong> tabs display options for connecting MCP clients to the the project&#x27;s MCP server.</p>
+<p>The <strong>Auto install</strong> and <strong>JSON</strong> tabs display options for connecting MCP clients to the project&#x27;s MCP server.</p>
 <p>The <strong>Flows/Tools</strong> section lists the flows that are currently being served as tools.</p>
 <p><img decoding="async" loading="lazy" alt="MCP server projects page" src="/assets/images/mcp-server-53850e4ac7599dec00dd7d01922ba79f.png" width="4000" height="2174" class="img_ev3q"></p>
 </li>
@@ -119,7 +119,7 @@ For example:</p><div class="ch-codeblock not-prose" data-ch-theme="github-dark">
 <p>The following procedure describes how to connect <a href="https://www.cursor.com/" target="_blank" rel="noopener noreferrer">Cursor</a> to your Langflow project&#x27;s MCP server to consume your flows as tools.
 However, you can connect any <a href="https://modelcontextprotocol.io/clients" target="_blank" rel="noopener noreferrer">MCP-compatible client</a> following similar steps.</p>
 <div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">Auto install</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">JSON</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>Auto installation only works if your HTTP client and Langflow server are on the same local machine.
-In this is not the case, configure the client with the code in the <strong>JSON</strong> tab.</p></div></div><ol>
+If this is not the case, use the <strong>JSON</strong> option to configure the MCP server.</p></div></div><ol>
 <li>Install <a href="https://docs.cursor.com/get-started/installation" target="_blank" rel="noopener noreferrer">Cursor</a>.</li>
 <li>In the Langflow dashboard, select the project that contains the flows you want to serve, and then click the <strong>MCP Server</strong> tab.</li>
 <li>To auto install your current Langflow project as an MCP server, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-plus" aria-hidden="True"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Add</strong>.</li>
@@ -141,7 +141,7 @@ For example:</p>
 <p>The <strong>MCP Server</strong> tab automatically includes the correct <code>PROJECT_NAME</code>, <code>LANGFLOW_SERVER_ADDRESS</code>, and <code>PROJECT_ID</code> values.
 The default Langflow server address is <code>http://localhost:7860</code>.</p>
 <p>If you have <a href="/deployment-public-server">deployed a public Langflow server</a>, the address is automatically included.</p>
-<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>If your Langflow server <a href="/configuration-authentication">requires authentication</a> (<a href="/environment-variables#LANGFLOW_AUTO_LOGIN"><code>LANGFLOW_AUTO_LOGIN</code></a> is set to <code>false</code>), you must include your Langflow API key in the configuration.
+<div class="theme-admonition theme-admonition-important admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>important</div><div class="admonitionContent_BuS1"><p>If your Langflow server <a href="/configuration-authentication">requires authentication</a> (<a href="/environment-variables#LANGFLOW_AUTO_LOGIN"><code>LANGFLOW_AUTO_LOGIN=false</code></a>), you must include your Langflow API key in the configuration.
 For more information, see <a href="#authentication">MCP server authentication and environment variables</a>.</p></div></div>
 </li>
 <li>
diff --git a/mcp-tutorial.html b/mcp-tutorial.html
index 5d991e4593..9f1a1c9daf 100644
--- a/mcp-tutorial.html
+++ b/mcp-tutorial.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -67,9 +67,9 @@ You can use existing components as tools, and you can connect any MCP server to
 <p>In this tutorial, you will use the Langflow <strong>MCP Tools</strong> component to connect multiple MCP servers to your flow, and then you&#x27;ll use a Python application to run your flow and chat with the agent programmatically.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="/configuration-api-keys">A Langflow API key</a></li>
-<li><a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create a <a href="/configuration-api-keys">Langflow API key</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <p>This tutorial uses an OpenAI LLM. If you want to use a different provider, you need a valid credential for that provider.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-an-agentic-flow">Create an agentic flow<a href="#create-an-agentic-flow" class="hash-link" aria-label="Direct link to Create an agentic flow" title="Direct link to Create an agentic flow">​</a></h2>
diff --git a/memory-chatbot.html b/memory-chatbot.html
index 61b3e714eb..2f7ada5c1b 100644
--- a/memory-chatbot.html
+++ b/memory-chatbot.html
@@ -3,7 +3,7 @@
 <head>
 <meta charset="UTF-8">
 <meta name="generator" content="Docusaurus v3.8.1">
-<title data-rh="true">Memory chatbot | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/memory-chatbot"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Memory chatbot | Langflow Documentation"><meta data-rh="true" name="description" content="The Chat memory component is also known as the Message history component."><meta data-rh="true" property="og:description" content="The Chat memory component is also known as the Message history component."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/memory-chatbot"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/memory-chatbot" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/memory-chatbot" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Memory chatbot","item":"https://docs.langflow.org/memory-chatbot"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
+<title data-rh="true">Memory chatbot | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/memory-chatbot"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Memory chatbot | Langflow Documentation"><meta data-rh="true" name="description" content="This flow extends the Basic Prompting flow template with a Message History component that stores previous chat messages and uses them to provide context for the current conversation."><meta data-rh="true" property="og:description" content="This flow extends the Basic Prompting flow template with a Message History component that stores previous chat messages and uses them to provide context for the current conversation."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/memory-chatbot"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/memory-chatbot" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/memory-chatbot" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Memory chatbot","item":"https://docs.langflow.org/memory-chatbot"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
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@@ -23,7 +23,7 @@
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@@ -49,12 +49,11 @@
         </a>
       </li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Flows</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Flow templates</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Memory chatbot</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Memory chatbot</h1></header><style>[data-ch-theme="github-dark"] {  --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
 <!-- -->
-<div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>The <strong>Chat memory</strong> component is also known as the <strong>Message history</strong> component.</p></div></div>
-<p>This flow extends the <a href="/basic-prompting">basic prompting flow</a> with a <a href="/components-helpers#message-history">Message history</a> component that stores previous chat messages and uses them to provide context for the current conversation.</p>
+<p>This flow extends the <a href="/basic-prompting"><strong>Basic Prompting</strong> flow template</a> with a <a href="/components-helpers#message-history"><strong>Message History</strong> component</a> that stores previous chat messages and uses them to provide context for the current conversation.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="create-the-memory-chatbot-flow">Create the memory chatbot flow<a href="#create-the-memory-chatbot-flow" class="hash-link" aria-label="Direct link to Create the memory chatbot flow" title="Direct link to Create the memory chatbot flow">​</a></h2>
 <ol>
@@ -63,7 +62,7 @@
 <li>The <strong>Memory Chatbot</strong> flow is created.</li>
 </ol>
 <p><img decoding="async" loading="lazy" alt="Memory chatbot flow" src="/assets/images/starter-flow-memory-chatbot-6b9e4a5ee08fe124cf7459698893c0a3.png" width="4000" height="1870" class="img_ev3q"></p>
-<p>This flow adds a <strong>Message history</strong> component to the Basic Prompting flow.
+<p>This flow adds a <strong>Message History</strong> component to the Basic Prompting flow.
 This component retrieves previous messages and sends them to the <strong>Prompt</strong> component to fill a part of the <strong>Template</strong> with context.</p>
 <p>To examine the template, click the <strong>Template</strong> field in the <strong>Prompt</strong> component.
 The <strong>Prompt</strong> instructs the <strong>Language model</strong> component how to respond to input.</p>
diff --git a/memory.html b/memory.html
index 549f1e9ea8..af033f3915 100644
--- a/memory.html
+++ b/memory.html
@@ -23,7 +23,7 @@
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diff --git a/release-notes.html b/release-notes.html
index 794f165881..4e86a6fa00 100644
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+++ b/release-notes.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/search.html b/search.html
index dc63371d25..d5042dab17 100644
--- a/search.html
+++ b/search.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/sequential-agent.html b/sequential-agent.html
index 78327faf10..b798cfcf69 100644
--- a/sequential-agent.html
+++ b/sequential-agent.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -53,9 +53,9 @@
 <p>Each successive agent in the flow builds on the work of the previous agent, creating a chain of reasoning for solving complex problems.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
-<li><a href="https://www.tavily.com/" target="_blank" rel="noopener noreferrer">A Tavily AI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
+<li>Create a <a href="https://www.tavily.com/" target="_blank" rel="noopener noreferrer">Tavily AI API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="open-langflow-and-create-a-new-flow">Open Langflow and create a new flow<a href="#open-langflow-and-create-a-new-flow" class="hash-link" aria-label="Direct link to Open Langflow and create a new flow" title="Direct link to Open Langflow and create a new flow">​</a></h2>
 <ol>
diff --git a/session-id.html b/session-id.html
index 10f73c75f1..de50853e89 100644
--- a/session-id.html
+++ b/session-id.html
@@ -23,7 +23,7 @@
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
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 <body class="navigation-with-keyboard">
diff --git a/simple-agent.html b/simple-agent.html
index bd33e364e3..cfadc32299 100644
--- a/simple-agent.html
+++ b/simple-agent.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -55,8 +55,8 @@ An <strong>Agent</strong> uses an LLM as its &quot;brain&quot; to select among t
 The <strong>Agent</strong> selects the <a href="/components-helpers#calculator">Calculator</a> tool for simple math problems, and the <a href="/components-data#url">URL</a> tool to search a URL for content.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="open-langflow-and-start-a-new-flow">Open Langflow and start a new flow<a href="#open-langflow-and-start-a-new-flow" class="hash-link" aria-label="Direct link to Open Langflow and start a new flow" title="Direct link to Open Langflow and start a new flow">​</a></h2>
 <ol>
diff --git a/sitemap.xml b/sitemap.xml
index 64131536f3..7f5ffe4565 100644
--- a/sitemap.xml
+++ b/sitemap.xml
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diff --git a/travel-planning-agent.html b/travel-planning-agent.html
index 50872cefca..405f724d76 100644
--- a/travel-planning-agent.html
+++ b/travel-planning-agent.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
@@ -54,9 +54,9 @@ The <strong>Chat input</strong> defines where the user wants to go, and passes t
 <p>All agents have access to the <strong>Search API</strong> and <strong>URL Content Fetcher</strong> components, while only the <strong>Travel Concierge</strong> agent can use the <strong>Calculator</strong> for computing the trip costs.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
-<li><a href="https://www.searchapi.io/" target="_blank" rel="noopener noreferrer">A Search API key</a></li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
+<li>Create a <a href="https://www.searchapi.io/" target="_blank" rel="noopener noreferrer">Search API key</a></li>
 </ul>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="open-langflow-and-start-a-new-flow">Open Langflow and start a new flow<a href="#open-langflow-and-start-a-new-flow" class="hash-link" aria-label="Direct link to Open Langflow and start a new flow" title="Direct link to Open Langflow and start a new flow">​</a></h2>
 <p>Click <strong>New Flow</strong>, and then select the <strong>Travel Planning Agent</strong> flow.</p>
diff --git a/troubleshoot.html b/troubleshoot.html
index 578a07e4e1..5e4ff0e41b 100644
--- a/troubleshoot.html
+++ b/troubleshoot.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
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-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/typescript-client.html b/typescript-client.html
index 7db2d6c83a..4f94bb0f88 100644
--- a/typescript-client.html
+++ b/typescript-client.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
 <script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
 <script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.e756ed1e.css">
-<script src="/assets/js/runtime~main.679f183a.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.446c6220.js" defer="defer"></script>
 <script src="/assets/js/main.3957ba71.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/vector-store-rag.html b/vector-store-rag.html
index dee59126a8..816d9a5afb 100644
--- a/vector-store-rag.html
+++ b/vector-store-rag.html
@@ -23,7 +23,7 @@
 <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&amp;display=swap">
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@@ -53,15 +53,12 @@
 <p>We&#x27;ve chosen <a href="https://astra.datastax.com/signup?utm_source=langflow-pre-release&amp;utm_medium=referral&amp;utm_campaign=langflow-announcement&amp;utm_content=create-a-free-astra-db-account" target="_blank" rel="noopener noreferrer">Astra DB</a> as the vector database for this starter flow, but you can follow along with any of Langflow&#x27;s vector database options.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites">​</a></h2>
 <ul>
-<li><a href="/get-started-installation">A running Langflow instance</a></li>
-<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
-<li><a href="https://docs.datastax.com/en/astra-db-serverless/get-started/quickstart.html" target="_blank" rel="noopener noreferrer">An Astra DB vector database</a> with the following:<!-- -->
-<ul>
-<li>An Astra DB application token scoped to read and write to the database</li>
-<li>A collection created in <a href="https://docs.datastax.com/en/astra-db-serverless/databases/manage-collections.html#create-collection" target="_blank" rel="noopener noreferrer">Astra</a> or a new collection created in the <strong>Astra DB</strong> component</li>
-</ul>
-</li>
+<li><a href="/get-started-installation">Install and start Langflow</a></li>
+<li>Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer">OpenAI API key</a></li>
+<li>Create an <a href="https://docs.datastax.com/en/astra-db-serverless/get-started/quickstart.html" target="_blank" rel="noopener noreferrer">Astra DB vector database</a></li>
+<li>Create an <a href="https://docs.datastax.com/en/astra-db-serverless/administration/manage-application-tokens.html#database-token" target="_blank" rel="noopener noreferrer">Astra application token scoped to your database</a></li>
 </ul>
+<p>You can use an existing <a href="https://docs.datastax.com/en/astra-db-serverless/databases/manage-collections.html#create-collection" target="_blank" rel="noopener noreferrer">collection</a> or create a new collection through the <strong>Astra DB</strong> component.</p>
 <h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="open-langflow-and-start-a-new-project">Open Langflow and start a new project<a href="#open-langflow-and-start-a-new-project" class="hash-link" aria-label="Direct link to Open Langflow and start a new project" title="Direct link to Open Langflow and start a new project">​</a></h2>
 <ol>
 <li>From the Langflow dashboard, click <strong>New Flow</strong>.</li>
@@ -105,7 +102,7 @@ If you don&#x27;t have a collection, select <strong>New database</strong>.
 Complete the <strong>Name</strong>, <strong>Cloud provider</strong>, and <strong>Region</strong> fields, and then click <strong>Create</strong>. <strong>Database creation takes a few minutes</strong>.</li>
 <li>Select your <strong>Collection</strong>. Collections are created in your <a href="https://astra.datastax.com" target="_blank" rel="noopener noreferrer">Astra DB deployment</a> for storing vector data.</li>
 </ol>
-<div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>If you select a collection embedded with Nvidia through Astra&#x27;s vectorize service, the <strong>Embedding Model</strong> port is removed, because you have already generated embeddings for this collection with the Nvidia <code>NV-Embed-QA</code> model. The component fetches the data from the collection, and uses the same embeddings for queries.</p></div></div>
+<div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>If your collection use the Astra vectorize NVIDIA integration, the <strong>Embedding Model</strong> port is removed, because the collection already generates embeddings with the integrated NVIDIA model. The component fetches the data from the collection, and uses the same model to generate embeddings for queries.</p></div></div>
 </li>
 <li>
 <p>If you don&#x27;t have a collection, create a new one within the component.</p>
diff --git a/webhook.html b/webhook.html
index 2d0bcaf2a4..e780aee460 100644
--- a/webhook.html
+++ b/webhook.html
@@ -23,7 +23,7 @@
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