Pydantic AI
End-to-end AI engineering stackBuild agents you’ll actually ship to production
From our roots in open source, Pydantic is focused on developer experience. Ship type-safe applications with Pydantic Validation, Pydantic AI, Pydantic Logfire, and Pydantic Evals.
Build in Python, TypeScript, Rust, and Go. Observe and optimize on the cloud or self-host.
The risk-free way to get started with AI Observability and Agent Evals is Pydantic Logfire. Bring your agents written in or .
Continuously improve your agents with insights from your traces and evals. Protect your data and control your spend with Logfire AI Gateway.
Companies that trust Pydantic
AI Software Development Lifecycle
Meet the Pydantic Stack
Case Studies
AutonomyAI gives coding agents Logfire via MCP to check production after merge and file follow-ups.
Learn how AutonomyAI caught 12 no-op deployments in five weeks→
Qualio uses Pydantic AI and Evals to turn plain-language quality criteria into auditable release gates.
Learn how Qualio gates every release with 300 evaluations→
Pydantic AI grounds STCC's clinical RAG in triage decision trees; Logfire makes every answer reviewable.
Learn how STCC reached 0% hallucinations in clinical triage→
Logfire gives GIC sub-second trace queries for live evaluation, deviation detection, and agent self-correction.
See how GIC made trace queries 150× faster→
See all case studies
End-to-end AI Engineering Stack
Build end-to-end type-safe applications with Pydantic Validation, Pydantic AI, Pydantic Logfire and Pydantic Evals.
