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# LLM Multi Agent Race Analysis System |
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This project utilizes a multi-agent system to analyze race data from the FastF1 library using CrewAI and LangChain. The system is designed to provide detailed insights and comparisons between drivers in a race session. |
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## Setup Instructions |
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1. **Create and activate a Conda virtual environment:** |
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```sh |
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conda create --name race-analysis python=3.11 |
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conda activate race-analysis |
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``` |
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2. **Install the dependencies:** |
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```sh |
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conda env create --file environment.yml |
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``` |
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3. **Paste your OpenAI key in the .env file.** |
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4. **Provide basic context for the analysis system:** |
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- Create a file named `context.md` in the root directory. |
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- Add a brief text in `context.md` to provide basic context to the analysis system. |
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5. **Run the main script to start the race analysis:** |
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```sh |
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python main.py |
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``` |
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## Usage |
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To run the analysis, execute the following command: |
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