Uploaded May 2026 | Updated September 2026, 2 weeks ago

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This is a preview of the video course, "Building Type-Safe LLM Agents With Pydantic AI". Pydantic AI is a Python framework for building LLM agents that return validated, structured outputs using Pydantic models. Instead of parsing raw strings from LLMs, you get type-safe objects with automatic validation.

If you’ve used FastAPI or Pydantic before, then you’ll recognize the familiar pattern of defining schemas with type hints and letting the framework handle the type validation for you.

This is a portion of the complete course, which you can find here: realpython.com/courses/building-type-safe-llm-agents-with-pydantic-ai

And the original text tutorial is here: realpython.com/pydantic-ai

The rest of the course covers:
- Exercise: Model Movie Info With Pydantic
- Discussing Output Reliability
- Exercise: Validate Book Review Fields With Constraints
- Defining Agent Tools With Function Calling
- Runtime Context for Dependency Injection
- Considering Limitations and Gotchas
- Building Type-Safe LLM Agents With Pydantic AI (Quiz)



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