Pydantic AI
Typed agents with validated outputs
- Open source
- Agent Frameworks
What it is
Pydantic AI applies Pydantic’s validation model to agent construction: tool arguments and final results are declared as schemas, and the framework validates the model’s output against them, retrying when it does not conform. Dependency injection makes the surrounding services explicit, so agents are testable like ordinary Python code. It runs against the major model providers through a common interface.
Best for
Python services where an agent’s output has to satisfy a schema before it is allowed to touch anything else.
Where it falls short
It is Python-only, and the schema-first approach adds friction when what you actually want out is free-form prose.
Characteristics
- structured-output
- validation
- python
- type-safety
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