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- + + diff --git a/Concepts/concepts-flows.html b/Concepts/concepts-flows.html index 66f6499c57..ba0ce25578 100644 --- a/Concepts/concepts-flows.html +++ b/Concepts/concepts-flows.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -
Skip to main content

Flows

+

Flows

Flows in Langflow are fully serializable and can be saved and loaded from the file system. In this guide, we'll explore how to import and export flows.

Import Flow​

If you've already got a Langflow JSON file, import it into Langflow by clicking on the project name and choosing Import Flow.

diff --git a/agents-overview.html b/agents-overview.html index d6fc14bd30..9efb4d6bff 100644 --- a/agents-overview.html +++ b/agents-overview.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -

Agents overview

Agents are AI systems that use LLMs as a brain to analyze problems and select external tools.

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Agents overview

Agents are AI systems that use LLMs as a brain to analyze problems and select external tools.

Instead of developers having to create logical statements to direct every possible path of a program, an agent can operate with autonomy. An agent can leverage external tools and APIs to gather information and take action, demonstrate chain-of-thought reasoning, and generate tailored text for specific purposes.

To simplify the development of agents, Langflow created a custom Tool calling agent component that simplifies configuration and lets developers focus on solving problems with agents.

Tool calling agentcomponent

diff --git a/agents-tool-calling-agent-component.html b/agents-tool-calling-agent-component.html index f6ec3d22f4..9aa2c2e3ca 100644 --- a/agents-tool-calling-agent-component.html +++ b/agents-tool-calling-agent-component.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -

Create a problem-solving agent

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Create a problem-solving agent

Developing agents in Langchain is complex.

The AgentComponent is a component for easily creating an AI agent capable of analyzing tasks using tools you provide.

The component contains all of the elements you'll need for creating an agent. Instead of managing LLM models and providers, pick your model and enter your API key. Instead of connecting a Prompt component, enter instructions in the component's Agent Instruction fields.

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API examples

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API examples

This page provides examples and practices for managing Langflow using the Langflow API.

The Langflow API's OpenAPI spec can be viewed and tested at your Langflow deployment's docs endpoint. diff --git a/api.html b/api.html index 967e94ea53..74bb8ec803 100644 --- a/api.html +++ b/api.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/add-user.html b/api/add-user.html index f6d20e478e..425d45a59f 100644 --- a/api/add-user.html +++ b/api/add-user.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/auto-login.html b/api/auto-login.html index 5c632834ca..2c63a8b942 100644 --- a/api/auto-login.html +++ b/api/auto-login.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/build-flow.html b/api/build-flow.html index f813267357..cbafc3f299 100644 --- a/api/build-flow.html +++ b/api/build-flow.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/build-vertex-stream.html b/api/build-vertex-stream.html index 43c507d27e..52fc4f32a1 100644 --- a/api/build-vertex-stream.html +++ b/api/build-vertex-stream.html @@ -16,8 +16,8 @@ - - + + diff --git a/api/build-vertex.html b/api/build-vertex.html index 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