ActiveDeveloperOpen Source, MIT
Pydantic AI
Python-native agent framework
Pydantic AI is an agent framework from the team behind Pydantic that feels like regular, typed Python. Structured outputs are validated with Pydantic models and dependencies are passed via dependency injection. Pydantic Logfire provides matching observability, and pydantic-graph is available for multi-step flows.
Good fit if
Focus: Python developers who value type safety
- your project is about Python apps, Type-safe AI or Production systems
- someone on your team writes code
Probably not if
- nobody on your team writes code (1/5 for use without developers)
- your team is just getting started with agents (skill level: Advanced)
Key figures
- Usable without developers
- 1/5
- Scalability
- 4/5
- Integrations
- 4/5
- Versioning
- 2/5
- Observability
- 2/5
Editorial rating on a scale from 1 to 5. Methodology
Fact sheet
- Category
- Developer
- Type
- Python-native agent framework
- Licence
- Open Source (MIT)
- Pricing
- Open SourceOpen source and free (MIT)
- Deployment
- Self-Hosted, Any
- Models
- OpenAI, Anthropic, Google, Groq, Mistral, Ollama
- RAG
- Yes
- Multi-Agent
- Yes
- SSO, roles (RBAC)
- SSO no, RBAC no
- Latest version
- 2.55.0
- GitHub stars
- 20,500
Key features
- Type safety
- Validated structured outputs
- Dependency injection
- Model-agnostic
Typical use cases
- Python apps
- Type-safe AI
- Production systems
Implementation
Get Pydantic AI implemented
Free for you. Partners only pay for requests they accept.
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