📖 The AI Tool Bible

Agenta vs LangSmith

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Agenta
Evaluation
LangSmith
Evaluation
TaglineOpen-source LLMOps platform for prompt engineering, evaluation, and observability in one workspace.LangChain's eval + observability platform.
CategoryEvaluationEvaluation
PricingFreemium· Open-source self-host free; managed cloud has free tier plus paid plansFreemium· Free starter; Plus $39/mo per seat
ModelMulti-modelPlatform (any LLM)
Editorial score—8.7 / 10
Use cases
prompt-engineeringllm-evaluationobservabilityprompt-versioningllm-tracing
LLM tracingevalsLangChain integration
Pros
  • Open-source with self-host option, no vendor lock-in
  • Covers prompt engineering, evals, and observability in one tool
  • Full API/UI parity lets PMs and engineers share the same workflow
  • Plays nicely with LangChain, LlamaIndex, and raw OpenAI calls
  • Tight LangChain integration
  • Strong tracing UX
  • Mature dataset/eval flows
  • Reasonable per-seat pricing
Cons
  • Smaller community than LangSmith or Langfuse
  • Self-hosting adds ops burden vs pure SaaS competitors
  • Eval tooling less mature than dedicated eval-first platforms
  • Best value if you're on LangChain
  • UI can feel dense
Websiteagenta.aiwww.langchain.com
Pick Agenta if
  • ✅ Open-source with self-host option, no vendor lock-in
  • ✅ Covers prompt engineering, evals, and observability in one tool
  • ✅ Full API/UI parity lets PMs and engineers share the same workflow
  • ✅ Plays nicely with LangChain, LlamaIndex, and raw OpenAI calls
Pick LangSmith if
  • ✅ Tight LangChain integration
  • ✅ Strong tracing UX
  • ✅ Mature dataset/eval flows
  • ✅ Reasonable per-seat pricing
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