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# LLM Multi Agent Race Analysis System
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.
## Setup Instructions
1. **Create and activate a Conda virtual environment:**
```sh
conda create --name race-analysis python=3.11
conda activate race-analysis
```
2. **Install the dependencies:**
```sh
conda env create --file environment.yml
```
3. **Paste your OpenAI key in the .env file.**
4. **Provide basic context for the analysis system:**
- Create a file named `context.md` in the root directory.
- Add a brief text in `context.md` to provide basic context to the analysis system.
5. **Run the main script to start the race analysis:**
```sh
python main.py
```
## Usage
To run the analysis, execute the following command:
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