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/Deployment/deployment-docker.html b/Deployment/deployment-docker.html index f167e0d544..6a5d3cbb1d 100644 --- a/Deployment/deployment-docker.html +++ b/Deployment/deployment-docker.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -Docker
This guide will help you get LangFlow up and running using Docker and Docker Compose.
+Docker
This guide will help you get LangFlow up and running using Docker and Docker Compose.
Prerequisites
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diff --git a/agents-overview.html b/agents-overview.html
index c32917294a..bd9c00eef5 100644
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+++ b/agents-overview.html
@@ -16,8 +16,8 @@
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-
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- curl
- Result
- curl
- Result
- curl
- Result
Agents overview
Agents are AI systems that use LLMs as a brain to analyze problems and select external tools.
+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.

Create a problem-solving agent
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.
diff --git a/api-reference-api-examples.html b/api-reference-api-examples.html index dd991ac80e..cb750436a2 100644 --- a/api-reference-api-examples.html +++ b/api-reference-api-examples.html @@ -16,8 +16,8 @@ - - + + @@ -25,7 +25,7 @@ -API examples
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.
@@ -282,6 +282,6 @@ Results can be ordered with the order_by query string.
_10curl -X DELETE \_10 "$LANGFLOW_URL/api/v1/monitor/messages/session/different_session_id_2" \_10 -H "accept: */*"
_10HTTP/1.1 204 No Content
Get transactions
Retrieve all transactions (interactions between components) for a specific flow.
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_10curl -X GET \_10 "$LANGFLOW_URL/api/v1/monitor/transactions?flow_id=$FLOW_ID&page=1&size=50" \_10 -H "accept: application/json"
_19{_19 "items": [_19 {_19 "timestamp": "2024-12-23T20:05:01.061Z",_19 "vertex_id": "string",_19 "target_id": "string",_19 "inputs": {},_19 "outputs": {},_19 "status": "string",_19 "error": "string",_19 "flow_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",_19 "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6"_19 }_19 ],_19 "total": 0,_19 "page": 1,_19 "size": 1,_19 "pages": 0_19}
_10curl -X GET \_10 "$LANGFLOW_URL/api/v1/monitor/transactions?flow_id=$FLOW_ID&page=1&size=50" \_10 -H "accept: application/json"
_19{_19 "items": [_19 {_19 "timestamp": "2024-12-23T20:05:01.061Z",_19 "vertex_id": "string",_19 "target_id": "string",_19 "inputs": {},_19 "outputs": {},_19 "status": "string",_19 "error": "string",_19 "flow_id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",_19 "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6"_19 }_19 ],_19 "total": 0,_19 "page": 1,_19 "size": 1,_19 "pages": 0_19}