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description=Documentation for the Pydantic stack. Validate data with Pydantic Validation, build production AI agents with Pydantic AI, and monitor LLM calls, agent behavior, and costs with Pydantic Logfire.;

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pydantic, ai, docs, engineering, python, ecosystem, logfire, monty, validation, httpx2,

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pydantic docs validation ai agents logfire observability skip to content docs pydantic docs pydantic validation pydantic ai pydantic logfire httpx2 monty more httpx2 monty search ctrl k pydantic validation pydantic ai pydantic logfire httpx2 monty pydantic validation pydantic ai pydantic logfire httpx2 monty theme pydantic docs pydantic is the end to end ai engineering stack validate untrusted data and build agents you ll actually ship to production using our python libraries observe govern and optimize agents written in any language or framework once they re live ai engineering build run and improve production ai systems not just python logfire lets you monitor secure and optimize agents written in python typescript rust go java ruby or any other language pydantic logfire observability and governance for ai agents llms applications services and hosts logfire configure logfire info app started see the best ai engineering platform pydantic ai the batteries included type safe framework for building production agents model openai gpt 5 6 sol agent agent model agent run_sync does it snow build production ready agents monty a minimal secure python interpreter in rust for running the code your agent writes with monty as pool with pool checkout as s s feed_run 2 10 run agent code safely python ecosystem open source foundations for trusted data and http pydantic validation data validation from python type hints parse validate and serialize with confidence class user basemodel name str age int learn about validation httpx2 a next generation http client sync and async apis http 1 1 and http 2 client httpx2 client r client get https pydantic dev make requests with httpx2 pydantic services inc 2025 to present