Pydantic AI
Typed agent framework from the Pydantic maintainers.
- made by
- Pydantic
Magic Ship is one shop in Vancouver, BC, working remotely with clients worldwide. We are not a partner, reseller, or certified vendor of Pydantic - we just build with this.
What Pydantic AI is
Pydantic AI is a Python agent framework where tools, dependencies, and results are Pydantic models, so validation and schema generation come from the type hints. It puts one interface in front of several model providers and supports streaming plus retries when a result fails validation. It integrates with Pydantic Logfire for tracing.
How we use it
On Python services we use it when the output has to be a specific shape - an extraction, a classification, a filled form - because a validation failure is retried with the error attached rather than passed quietly downstream. Dependency injection makes tools testable: the database handle a tool uses is supplied by the test. The result reads like ordinary typed Python instead of a framework DSL.
Where it is the wrong choice
It is younger than the alternatives and the API has moved between releases, so it needs pinning and the occasional migration. For long runs that need durable checkpoints and human approval in the middle, LangGraph is further along.
Service lines it turns up in
Related tools
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Building something on Pydantic AI?
Send the problem rather than a job spec. You get an answer on scope, on fit, and on whetherPydantic AI is even the right call for it.
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