Agent Framework
pydantic/pydantic-ai
pydantic/pydantic-ai· Python
Type-safe Python agent framework from the Pydantic team, with structured outputs as a first-class citizen.
GitHub stats
- Stars
- 16,730
- Forks
- 1,999
- Watchers
- 101
- Open issues
- 515
meta
- License
- MIT
- Primary language
- Python
- Last commit
- 2026-04-29
- Stats fetched at
- 2026-04-29
PydanticAI brings the FastAPI-style developer experience to LLM agents. You define tools and outputs as Pydantic models, and the framework handles validation, retries, and streaming across OpenAI, Anthropic, Gemini, Groq, Mistral, Ollama and more. Ships with dependency injection, multi-agent handoff, and Logfire integration for tracing. `pip install pydantic-ai` and you can build a typed agent in a dozen lines.
Editor's verdict
Pick this when you want LangChain-level model coverage but hate LangChain's abstractions, and when structured output reliability matters more than graph-style orchestration. The Pydantic-native API is the cleanest in the Python agent space right now. Skip it if you need a heavy stateful workflow engine (LangGraph fits better) or you're already deep in TypeScript — the JS story is weak. Also less mature than LangChain on exotic integrations.