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README.md

Build a multi-agent hotel booking crew using DeepSeek-R1

In this tutorial we are building a 100% local multi-agent hotel booking crew. It find the cheapest and best hotels for you and uses DeepSeek-R1 running locally.

It features Browserbase to create a headless browser tool for the agents and CrewAI for multi-agent orchestration.

Setup

To sync dependencies, run:

uv sync

Environment Variables

You need to set up the following environment variables:

BROWSERBASE_API_KEY=...
OPENAI_API_KEY=... (not required for locally running)

Get your browser base API key here

OpenAI API key needed only when you are running app_openai.py. app.py uses a locally running DeepSeek with Ollama. (how to setup local llm)

Ensure these variables are configured correctly before running the application use .env.example as reference and create your own .env file.

Run the streamlit app using streamlit run app.py


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Contribution

Contributions are welcome! Please fork the repository and submit a pull request with your improvements.