Pydantic AI
Build agents you’ll actually ship to production
The risk-free way to get started with AI Observability and Agent Evals is Pydantic Logfire. Bring your agents written in Python or TypeScript.
Continuously improve your agents with insights from your traces and evals. Protect your data and control your spend with Logfire AI Gateway.
No credit card required · 10M telemetry records free every month
Companies that trust Pydantic
Akamai, Atlassian, Airbyte, Banorte, Cisco, Duolingo, Elastic, Jane Street, JPMorgan Chase, Meta, Microsoft, NATO, NVIDIA, Roche, Seattle Children's Hospital, TNG Technology Consulting, Walmart, Xero
AI Software Development Lifecycle
Meet the Pydantic Stack
Case Studies
Dosu cut agent debugging time 90% and saved $30k a year with Pydantic Logfire
See how Dosu debugs its AI agents without leaving the coding agent→
Logfire and Pydantic Evals give Evergreen.ai end-to-end observability and continuous evaluation for financial-services AI agents.
See how Evergreen.ai runs observable financial-services AI agents→
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→
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.
