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Observability tools comparison

A side-by-side look at the leading LLM observability platforms. Choose the right tool for tracing, evaluation, and prompt management in your AI stack.

Tool	Pricing	Self-host	Traces	Evals	Prompt mgmt	SDK	Notes
Braintrust	Free tier → $0.0015/request	No	Yes	Yes — built-in eval framework	Yes — versioned prompts	Python, TypeScript, REST	Strong eval-first philosophy. Good for teams that want to A/B test prompts in production.
LangSmith	Free dev → $39/seat/mo	No	Yes	Yes — custom evaluators	Yes — LangChain Hub	Python, TypeScript (LangChain-native)	Tight LangChain integration. Best if you already use LangChain/LangGraph.
Helicone	Free 100k req/mo → $0.0003/req	Yes (open-source)	Yes	No — traces only	No	Drop-in proxy, REST	Lightweight proxy-based approach. Minimal code changes. Good for cost tracking.
OpenLLMetry	Free (open-source)	Yes	Yes — OpenTelemetry-native	No	No	Python, TypeScript (OTel SDK)	OTel standard. Export to any backend (Jaeger, Datadog, etc). No vendor lock-in.
Langfuse	Free self-host → $59/mo cloud	Yes (MIT license)	Yes	Yes — manual + model-based	Yes — versioned + playground	Python, TypeScript, REST	Most feature-complete open-source option. Good balance of tracing + evals + prompt management.

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Our team can help you evaluate which observability stack fits your workload.