Pydantic Logfire
An observability platform that traces model calls, agent tools, API requests and database queries together and evaluates AI outputs alongside those traces.
About Pydantic Logfire
Debugging an AI application requires connecting model behavior to the backend requests and tools around it.
Who it’s for
- Developers debugging LLM and agent applications
- Teams correlating AI traces with application telemetry
When to consider it
Consider Pydantic Logfire when you want OpenTelemetry-based traces and SQL queries across both AI calls and the rest of your application.
Tradeoffs & limitations
- The free Personal plan is capped at 10 million telemetry records per month, three projects and one seat, with 30-day retention; ingestion pauses at the record limit.
SOTA overview · Documentation-based assessment · Sources & review method
Updates
No updates shared yet.
Discussion
Newest firstAsk a question or share how you use Pydantic Logfire.
Keep it helpful. Community rules
Loading discussion…
Sources & review method
Documentation-based assessment · Oct 30, 2026 · Prepared with AI assistance; not a hands-on benchmark.
- Official product overview and whole-application tracing
- Personal plan limits and retention
- Official SDK repository
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
Pydantic Logfire official website
An observability platform that traces model calls, agent tools, API requests and database queries together and evaluates AI outputs alongside those traces.
Based on official pages and announcements checked on 2026-10-30. No hands-on test, performance benchmark or popularity ranking is claimed.