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Pydantic AI
Typed Python agent framework with broad model support, tools, and durable execution.
Pydantic AI is a typed Python SDK with an extensible agent loop where models can be swapped by changing a string. Developers use it to build agents that run across web frontends, terminals, voice calls, and background queues with validated, typed outputs.
| Category | Agent builders and frameworks |
| License | MIT |
| Hosting | library for self-managed applications; vendor platform available |
| Repository | github.com/pydantic/pydantic-ai |
| Website | pydantic.dev/docs/ai |
| Last verified | 2026-09-02 |
Documented features
- Supports many models and providers, including OpenAI, Anthropic, Google, Bedrock, Groq, Mistral, and Ollama, through one API
- Function tools with schemas generated from signatures and docstrings
- Structured outputs validated with Pydantic models
- Typed dependency injection for passing dependencies into tools
- MCP support for external tool integration
- Durable execution via Temporal, DBOS, and Prefect, with human-in-the-loop approval
- Ships a CLI, web chat UI, and realtime voice interfaces
- Pydantic Evals framework for testing agent behavior
- OpenTelemetry instrumentation with Logfire integration
Feature summaries come from the project's own repository and documentation and describe the software as documented on the verification date, not an evaluation.