Pydantic
End-to-end AI engineering stack for data validation and agents
Pydantic is a set of Python libraries and services for working with data and AI systems. Pydantic Validation handles parsing, validation, and serialization from Python type hints, while Pydantic AI provides a type-safe framework for building agents. Pydantic Logfire adds observability and governance for agents, LLM calls, services, and hosts, accepting telemetry from agents and services written in Python, TypeScript, Rust, Go, Java, Ruby, or anything else that emits OpenTelemetry data.
The stack also includes HTTPX2, a sync and async HTTP client supporting HTTP/1.1 and HTTP/2, and Monty, a minimal Python interpreter written in Rust for running code generated by an agent. Logfire features include agent run tracing, service maps, host metrics, AI output evaluations, human annotations, an AI Gateway with bring-your-own keys, and an OpenTelemetry-based timeline for correlated logs, traces, and metrics.
Pydantic Logfire is packaged in a free Personal plan with a hard record cap, seat-based Team and Growth plans with included seats and usage-based record pricing beyond a monthly allowance, and an Enterprise tier offering cloud, dedicated, or self-hosted deployment with SSO, SCIM, custom retention, and SLA-backed support.
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