Pydantic-AI v2.47.0 Improves Type Safety and Error Handling for Model Outputs

Pydantic-AI v2.47.0 has been released, introducing several enhancements and critical bug fixes. This update includes compatibility changes for output route naming and user prompt content validation, along with new capabilities for TypeSafeModel to answer more field types. Developers using Pydantic-AI will benefit from improved robustness in handling model outputs, better error messaging for invalid configurations, and more flexible routing options, ensuring greater stability in AI application development.

• →Ask three more field types TypeSafeModel can already answer by @DouweM in https://github.com/pydantic/pydantic-ai/pull/8544
• →Refuse a tuple output field and a self-contained model instead of crashing by @DouweM in https://github.com/pydantic/pydantic-ai/pull/8537
• →Refuse a rubric with more levels than Jev scores against by @DouweM in https://github.com/pydantic/pydantic-ai/pull/8583
• →Let None be a route TypeSafeModel can pick by @DouweM in https://github.com/pydantic/pydantic-ai/pull/8540
• →Let a Choices set describe itself as a TypeSafeModel route by @DouweM in https://github.com/pydantic/pydantic-ai/pull/8541