LangSmith / Langfuse — what do they provide?
mediumAnswer
- LangChain's LangSmith + open-source Langfuse: LLM-specific observability + eval.
- (1) Trace every LLM call, chain, agent step.
- (2) Prompt registry with versioning.
- (3) Eval datasets + automatic scoring.
- (4) User feedback annotation.
- (5) A/B experiment tracking.
- (6) Cost + latency dashboards.
- (7) Debug UI to inspect full trace.
- Alternatives: W&B Weave, Helicone, Portkey, PromptLayer, Arize Phoenix.
- Standard for LLM app development.
Check yourself — multiple choice
- Random
- LLM-specific observability + eval: trace calls/chains/agents + prompt registry versioning + eval datasets + user feedback + A/B + cost/latency dashboards + debug UI; alternatives Weave/Helicone/Portkey/PromptLayer/Phoenix
- Same as Datadog
- Not real
LangSmith/Langfuse: LLM observability + eval + prompt registry.
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