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Start here...\n- [The Solution](./.docs/SOLUTION.md) - A breakdown of the code solution\n- [Claude Desktop](./.claude/README.md) - Sample integration with Claude Desktop\n- [LLM Integration](./.docs/LLM.md) - More information about the LLM integration (OpenAI \u0026 Semantic Kernel)\n- [MCP Integration](./.docs/MCP.md) - All things MCP\n- [Architecture Details](./.docs/ARCHITECTURE.md) - The architecture of the solution\n\n## Features\n\n- CRUD operations for people (Create, Read, Update, Delete)\n- Swagger UI for API documentation and testing\n- SQLite database for persistence\n- Configuration via `.env` file\n\n## Setup and Run\n\n1.  **Create a virtual environment (recommended):**\n    ```bash\n    python3 -m venv venv\n    source venv/bin/activate\n    ```\n\n2.  **Install dependencies:**\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n3.  **Run the application:**\n    ```bash\n    uvicorn main:app --reload --host 0.0.0.0 --port 8000\n    ```\n\n    The API will be available at `http://127.0.0.1:8000` and the Swagger UI at `http://127.0.0.1:8000/docs`.\n\n## Running the unit tests\n\nYou can run the unit tests with the following command:\n\n```bash\npython -m pytest -v\n```\nOr by using pytest directly:\n\n```bash\npytest -v\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcfryerdev%2Fpython-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcfryerdev%2Fpython-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcfryerdev%2Fpython-learning/lists"}