GILD analysis
Langfuse Review
Pick Langfuse for tracing, evals, and prompt versioning on one MIT-licensed platform, in Langfuse Cloud or on your own servers; Pinterest, Cresta, SuperDial and Khan Academy trace production agents in it. Bayes Impact and one self-hoster moved to Arize Phoenix for a lighter stack, so plan for ClickHouse, Redis and S3 if you self-host. On Cloud, expect unit billing that grows with trace depth and a v4 cutover on November 16, 2026 that old SDKs will not survive.
- AI Observability
- AI Costs
The decision
- Best fit
- Teams that want tracing, evaluation, and prompt management from one open-source platform, above all those that must keep trace data in their own infrastructure.
- Consider another workflow
- For LangGraph agents with vendor hosting, evaluate LangSmith. For managed evals as the main workflow, evaluate Braintrust. If your team also monitors classic ML models, evaluate Arize AX.
- Adoption condition
- Use v4 SDKs or OpenTelemetry and mask sensitive fields. Set spend alerts or a retention policy. If self-hosting, assign a ClickHouse owner.