AI Agent for Activity Suggestions
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Empower your AI agent to suggest personalized activities based on user input. This workflow integrates with Langchain and external APIs to dynamically generate creative ideas.
About This Workflow
This n8n workflow showcases a powerful AI agent capable of understanding user needs and suggesting relevant activities. It leverages the Langchain integration to process conversational input, extract key information like activity type and participant count, and then utilizes an external API (Bored API) to fetch tailored suggestions. The main workflow orchestrates an AI agent that can call a custom sub-workflow, demonstrating a sophisticated level of automation. The sub-workflow, in turn, calls an example API to return an activity idea, highlighting the modularity and extensibility of n8n for complex AI applications. This setup is ideal for building interactive AI assistants and personalized recommendation engines.
Key Features
- Intelligent Activity Suggestion: Automatically suggests activities based on user queries and preferences.
- Custom Tool Integration: Enables AI agents to call specific workflows as tools for enhanced functionality.
- Dynamic API Interaction: Connects to external APIs to fetch real-time, relevant data for suggestions.
- Conversational AI Ready: Designed to work seamlessly with chat triggers and AI language models.
- Modular Workflow Design: Allows for flexible creation of sub-workflows to extend AI capabilities.
How To Use
- Main Workflow Setup: Configure the
When chat message receivednode to trigger the AI agent. Ensure your OpenAI credentials are set up for theOpenAI Chat Model. - Custom Tool Definition: In the
Activity Toolnode, define thename,workflowId(pointing to the current workflow's ID), and a cleardescriptionfor the tool. - Sub-workflow Configuration: The
When Executed by Another Workflownode will receive input (chatInput). Configure theWork out activity type and number of people1node with a schema to extracttypeandparticipantsfrom the input. - API Call: Set up the
Call the APInode to use the extractedtypeandparticipantsto query the Bored API. - Output Handling: Ensure the output of the
Call the APInode is presented effectively to the user, likely through a subsequent node in your main workflow that interacts with the chat interface.
Apps Used
Workflow JSON
{
"id": "9d68fcaa-9339-4c15-b21e-e5a336036445",
"name": "AI Agent for Activity Suggestions",
"nodes": 6,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 9d68fcaa-9339...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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