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Easily integrate Large Language Models into your Python code. Simply use the @prompt and @chatprompt decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.
Features
- Structured Outputs using pydantic models and built-in python types
- Chat Prompting to enable few-shot prompting with structured examples
- Function Calling and Parallel Function Calling via the FunctionCall and ParallelFunctionCall return types
- Formatting to naturally insert python objects into prompts
- Asyncio. Simply use async def when defining a magentic function
- Streaming structured outputs to use them as they are being generated
Project Samples
License
MIT LicenseFollow magentic
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