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<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 add tracing to your Langflow application, add Arize environment variables to your Langflow application.
Arize begins monitoring and collecting telemetry data from your LLM applications automatically.</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>If you are using the <a href="https://docs.arize.com/arize" target="_blank" rel="noopener noreferrer">standard Arize platform</a>, you need an <strong>Arize Space ID</strong> and <strong>Arize API Key</strong>.</li>
<li>If you are using the open-source <a href="https://docs.arize.com/phoenix" target="_blank" rel="noopener noreferrer">Arize Phoenix platform</a>, you need an <strong>Arize Phoenix API key</strong>.</li>
</ul>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="connect-arize-to-langflow">Connect Arize to Langflow<a href="#connect-arize-to-langflow" class="hash-link" aria-label="Direct link to Connect Arize to Langflow" title="Direct link to Connect Arize to Langflow"></a></h2>
<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">Arize Platform</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Arize Phoenix</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><ol>
<li>To retrieve your <strong>Arize Space ID</strong> and <strong>Arize API Key</strong>, navigate to the <a href="https://app.arize.com/" target="_blank" rel="noopener noreferrer">Arize dashboard</a>.</li>
<li>Click <strong>Settings</strong>, and then click <strong>Space Settings and Keys</strong>.</li>
<li>Copy the <strong>SpaceID</strong> and <strong>API Key (Ingestion Service Account Key)</strong> values.</li>
<li>Create a <code>.env</code> file in the root of your Langflow application.</li>
<li>Add the <code>ARIZE_SPACE_ID</code> and <code>ARIZE_API_KEY</code> environment variables to your Langflow application.
You do not need to specify the <strong>Arize Project</strong> name if you&#x27;re using the standard Arize platform.
Replace the following:</li>
</ol><ul>
<li>YOUR_ARIZE_SPACE_ID: the <strong>SpaceID</strong> value copied from Arize</li>
<li>YOUR_ARIZE_API_KEY: the <strong>API Key</strong> value copied from Arize</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>ARIZE_SPACE_ID=YOUR_ARIZE_SPACE_ID</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>ARIZE_API_KEY=YOUR_ARIZE_API_KEY</span></div></div><br></code></div></div><ol start="6">
<li>Save the <code>.env</code> file.</li>
<li>Start your Langflow application with the values from the <code>.env</code> file.</li>
</ol><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>uv run langflow run --env-file .env</span></div></div><br></code></div></div></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><ol>
<li>To retrieve your <strong>Arize Phoenix API key</strong>, navigate to the <a href="https://app.phoenix.arize.com/" target="_blank" rel="noopener noreferrer">Arize dashboard</a>.</li>
<li>Click <strong>API Key</strong>.</li>
<li>Copy the <strong>API Key</strong> value.</li>
<li>Create a <code>.env</code> file in the root of your Langflow application.</li>
<li>Add the <code>PHOENIX_API_KEY</code> environment variable to your application instead.
Replace <code>YOUR_PHOENIX_API_KEY</code> with the Arize Phoenix API key that you copied from the Arize Phoenix platform.</li>
</ol><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>PHOENIX_API_KEY=YOUR_PHOENIX_API_KEY</span></div></div><br></code></div></div><ol start="6">
<li>Save the <code>.env</code> file.</li>
<li>Start your Langflow application with the values from the <code>.env</code> file.</li>
</ol><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>uv run langflow run --env-file .env</span></div></div><br></code></div></div></div></div></div>
<p>For more information, see the <a href="https://docs.arize.com/phoenix/tracing/integrations-tracing/langflow#go-to-arize-phoenix" target="_blank" rel="noopener noreferrer">Arize documentation</a>.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="run-a-flow-and-view-metrics-in-arize">Run a flow and view metrics in Arize<a href="#run-a-flow-and-view-metrics-in-arize" class="hash-link" aria-label="Direct link to Run a flow and view metrics in Arize" title="Direct link to Run a flow and view metrics in Arize"></a></h2>
<ol>
<li>In Langflow, select the <a href="/simple-agent">Simple agent</a> starter project.</li>
<li>In the <strong>Agent</strong> component&#x27;s <strong>OpenAI API Key</strong> field, paste your <strong>OpenAI API key</strong>.</li>
<li>Click <strong>Playground</strong>.
Ask your Agent some questions to generate traffic.</li>
<li>Navigate to the <a href="https://app.arize.com/" target="_blank" rel="noopener noreferrer">Arize dashboard</a>, and then open your project.
You may have to wait a few minutes for Arize to process the data.</li>
<li>The <strong>LLM Tracing</strong> tab shows metrics for your flow.
Each Langflow execution generates two traces in Arize.
The <code>AgentExecutor</code> trace is the Arize trace of Langchain&#x27;s <code>AgentExecutor</code>. The UUID trace is the trace of the Langflow components.</li>
<li>To view traces, click the <strong>Traces</strong> tab.
A <strong>trace</strong> is the complete journey of a request, made of multiple <strong>spans</strong>.</li>
<li>To view <strong>Spans</strong>, select the <strong>Spans</strong> tab.
A <strong>span</strong> is a single operation within a trace. For example, a <strong>span</strong> could be a single API call to OpenAI or a single function call to a custom tool.
For more on traces, spans, and other metrics in Arize, see the <a href="https://docs.arize.com/arize/llm-tracing/tracing" target="_blank" rel="noopener noreferrer">Arize documentation</a>.</li>
<li>All metrics in the <strong>LLM Tracing</strong> tab can be added to <strong>Datasets</strong>.
To add a span to a <strong>Dataset</strong>, click the <strong>Add to Dataset</strong> button.</li>
<li>To view a <strong>Dataset</strong>, click the <strong>Datasets</strong> tab, and then select your <strong>Dataset</strong>.
For more on <strong>Datasets</strong>, see the <a href="https://docs.arize.com/arize/llm-datasets-and-experiments/datasets-and-experiments" target="_blank" rel="noopener noreferrer">Arize documentation</a>.</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="/integrations-apify"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Apify</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/integrations-assemblyai"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">AssemblyAI</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-arize-to-langflow" class="table-of-contents__link toc-highlight">Connect Arize to Langflow</a></li><li><a href="#run-a-flow-and-view-metrics-in-arize" class="table-of-contents__link toc-highlight">Run a flow and view metrics in Arize</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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