Future Proof Your Career with Pydantic AI by Daniel Mercer (.ePUB)+
File Size: 10 MB
Future Proof Your Career with Pydantic AI and FastAPI: Build Typed, Reliable, and Production-Ready AI APIs in Python by Daniel Mercer
Requirements: .ePUB, .PDF, .MOBI reader, 10 MB
Overview: Build AI APIs that are typed, reliable, and ready for production. Pydantic AI and FastAPI shows you how to combine structured agents with secure, scalable Python APIs—covering tools, streaming, persistence, testing, authentication, observability, and deployment. A practical guide for developers who want AI systems that do more than work in a demo. A Python script becomes a service the moment another person or system depends on it. Add a language model, and the distance between a convincing demonstration and dependable software becomes much wider. The model may produce fluent text, but the application still needs validated requests, authenticated callers, controlled tools, predictable outputs, durable state, error handling, tests, and operational limits. Those requirements do not disappear because the model sounds confident. Pydantic AI and FastAPI approach this problem from opposite sides. Pydantic AI gives the model-facing workflow typed dependencies, tools, structured outputs, message history, usage limits, and testing support. FastAPI gives the outside world an HTTP contract, dependency injection, validation, authentication hooks, OpenAPI documentation, streaming responses, and a disciplined application lifecycle. This book focuses on the seam between them.
Genre: Non-Fiction > Tech & Devices
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