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AI Agents & Assistants

n8n Research AI Agent with Tool Lookup

When a chat message arrives, an OpenAI research agent looks up n8n assistant tools and returns answers about building n8n workflows.

What it does

# Chattrigger Workflow ## Overview Automated workflow: Chattrigger Workflow. This workflow processes data and performs automated tasks. ## Workflow Details - Total Nodes: 7 - Node Types: 6 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When chat message received: chatTrigger - n8n Research AI Agent: agent - n8n-assistant Tool Lookup: mcpClientTool - n8n-assistant Execute Tool: mcpClientTool - OpenAI Chat Model2: lmChatOpenAi - Workflow Documentation: stickyNote - Error Handler for cc1619ec: stopAndError ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. Manual Trigger
  2. When chat message received
  3. n8n Research AI Agent
  4. n8n-assistant Tool Lookup
  5. n8n-assistant Execute Tool
  6. OpenAI Chat Model2
  7. Error Handler for cc1619ec
  8. Error Handler

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