@n8n/n8n-nodes-langchain.lm Chat Open Ai

AI Agent Processing Chat Input with Webhook Actions

LLM Chain
Complex Trigger

This workflow orchestrates an advanced AI agent using Langchain to process incoming chat messages. Triggered by a 'When chat message received' event, the workflow feeds the `chatInput` directly to an OpenAI Functions Agent. This agent is designed to understand natural language commands and context from the chat. It can then perform various actions, likely including making HTTP requests to aggregate information from external services or databases. A key capability suggested by the workflow's filename is the ability to dynamically create or manage webhooks. This allows the AI agent to set up notifications, integrate with other systems, or establish callbacks based on the chat conversation, effectively extending its functionality beyond simple responses to include active system management. The workflow leverages both an OpenAI Chat Model and a Langchain AI Agent for sophisticated conversational processing and action execution.

41
Nodes
15
Services
2
Categories
Complex
Type

Leverage Langchain's AI agent to process chat inputs and execute webhook actions, automating system integrations and boosting productivity through intelligent conversational workflows.

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📄 File Details

0681_Aggregate_HTTP_Create_Webhook.json
Aggregate
09/04/2025
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Services & Integrations

LLM Chain
AI Agent
Sticky Note
Memory Buffer
AI Chat
Execute Workflow Trigger
Set
Switch
Aggregate
Merge
If
LLM Chain
LLM Chain
Airtable
Http Request
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How to Use This Workflow

1

Download the Workflow

Click the "Download Workflow" button above to get the JSON file.

2

Import to n8n

In your n8n instance, go to Workflows → Import and select the JSON file.

3

Configure Credentials

Set up your LLM Chain and other service credentials in n8n.

4

Activate & Test

Activate the workflow and test it to ensure everything works correctly.

Tags

#aggregate
#@n8n/n8n-nodes-langchain.lm-chat-open-ai
#@n8n/n8n-nodes-langchain.agent
#sticky-note
#complex
#aggregate
#workflow-automation
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