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PYDANTIC LOGFIRE
AI observability for LLMs, apps, and agents
MIT
ABOUT
Production AI systems generate traces across LLM calls, agent steps, APIs, database queries, and infrastructure events, but those signals are often scattered across separate monitoring tools. Pydantic Logfire brings those telemetry streams together so teams can debug failures, track cost and latency, and understand how end-to-end AI workflows behave in production.
INSTALL
pip install logfireINTEGRATION GUIDE
1. Trace LLM calls and agent workflows in production AI applications
2. Correlate backend, database, and model telemetry in a single observability view
3. Track latency, token usage, and operational cost across deployed AI systems
4. Instrument Python and other OpenTelemetry-compatible services for AI debugging
TAGS
monitoringobservabilityai-observabilityllmagentsopentelemetrytracinglogging