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LANGFUSE
Open-source LLM observability and engineering platform
MIT
ABOUT
LLM applications and AI agents are complex, non-deterministic, and difficult to debug in production. Teams lack visibility into agent behavior, cannot track costs and latency across models, and have no systematic way to evaluate output quality or safely iterate on prompts.
INSTALL
pip install langfuseINTEGRATION GUIDE
1. Trace and debug LLM agent workflows with hierarchical spans and OpenTelemetry support
2. Track token usage, cost, and latency across models and providers in production
3. Evaluate LLM outputs using automated LLM-as-a-judge, heuristic, or human annotation workflows
TAGS
observabilityllmtracingevaluationprompt-managementopentelemetry