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It supports API-based and local models via plugins, conversation logging to SQLite, templates, embeddings, and tool use.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install llm\n- brew install llm\n- pipx install llm\n- uv tool install llm\n\nRequirements and caveats from upstream:\n- A CLI tool and Python library for interacting with **OpenAI**, **Anthropic’s Claude**, **Google’s Gemini**, **Meta’s Llama** and dozens of other Large Language Models, both via remote APIs and with models that can be...\n- [Using embeddings from Python](https://llm.datasette.io/en/stable/embeddings/python-api.html)\n- [Working with collections](https://llm.datasette.io/en/stable/embeddings/python-api.html#working-with-collections)\n\nBasic usage or getting-started notes:\n- # Run: sphinx-build -M markdown ./docs ./tmpdir\n- subprocess.run([\n- [Run prompts from the command-line](https://llm.datasette.io/en/stable/usage.html#usage-executing-prompts)\n\n- Source: https://github.com/simonw/llm\n- Extracted from upstream docs: https://raw.githubusercontent.com/simonw/llm/HEAD/README.md\n\n## Source\n\n- [Agent Skill 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