Pydantic AI · structured Agent outputs
AI resource index and instructions
Requirements and use guide
- A supported Python environment, model configuration and sample business cases.
- Create a minimal Agent and model configuration using an official example.
- Define result types, dependencies and authorized tool inputs.
- Test validation failures and edge cases before integrating business code.
Task example
Return test tickets as category, priority and evidence fields and validate the structure.
Limits
- Type validation checks structure; it does not guarantee factual or business correctness.
- Configured providers process model requests; developers manage data, permissions and run records.