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The model in use is GroQ (llama3-8b-8192).

Workflow:

  1. Create Plan --> 2. Follows each step of the plan --> 3. Return the final result to client

Run main.py to run the server. Use the simple UI of index.html to send queries to the agent

Please create your .env file and populate it with Groq and Tavily API key secrets.

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Project for Melting Hack AI travel agent hackathon - Feb 09, 2025. Langchain AI Agent for travel planning that follows chain of thought process to create different budget personal iternaries for users.

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