DiscoverAI ToolsSnapshotMagazineStartup SpotlightAI News
+ List Startup Sign In
›Developer Tools›Pydantic Logfire
Pydantic Logfire logo

Pydantic Logfire

AI observability from the Pydantic team: LLM calls, agent steps, API requests and database queries traced in one timeline
Share Visit Website

About Pydantic Logfire

Pydantic Logfire is an observability platform aimed at AI applications: instead of monitoring only the LLM calls, it traces the whole request - the model call, the agent's next step, the API request and the database query behind it - in a single timeline. SDKs cover Python, JavaScript/TypeScript and Rust, with OpenTelemetry for everything else.

Traces are queryable directly with SQL, and the product leans on Pydantic's validation pedigree for structured spans. The vendor advertises a free tier of 10M spans, logs and metrics per month with no card required - a plan claim from its pricing page.

The site lists SOC 2 Type II, HIPAA, EU data residency and PII scrubbing in the SDK among its compliance posture, and a self-hosted option; these are the vendor's own statements. A customer case study claiming a 90% debugging-time cut and $30k yearly savings is likewise vendor-published.

Website

Pydantic Logfire website screenshot

Perfect for

Engineering teams shipping LLM features or agents who want full-stack traces and SQL-queryable telemetry from the Pydantic ecosystem.

Solves these problems

Debugging agent behavior across model, tool, API and database hops; LLM cost and latency visibility; unifying AI traces with the rest of application telemetry.