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revopsse· llm-observability

LangSmith

Last reviewed: 2026-05-23

Our take

LangSmith is the obvious pick if you're building AI features on LangChain. The eval + dataset + annotation workflow accelerates AI feature iteration. For non-LangChain orgs (direct OpenAI/Anthropic SDK use), Helicone is cheaper and simpler. For mature AI products with serious eval needs, LangSmith justifies the seat price.

Who it's for: Engineering teams building LangChain-based AI products. AI Product Managers.

Pricing

Custom

Developer free (5k traces/mo). Plus $39/user/mo (10k). Enterprise custom.

As of 2026-05-23

Try it

Visit LangSmith →

Features

  • LLM call tracing
  • Datasets + eval
  • Prompt hub
  • Cost + latency dashboards
  • Annotation queues

Pros

  • Best traces UX for LangChain users
  • Datasets + eval workflow mature
  • Annotation tools for human review

Cons

  • Best for LangChain-native; rough with direct OpenAI/Anthropic calls
  • Pricing per seat awkward at scale
  • Helicone competes hard at lower cost

Integrations

LangChainOpenAIAnthropicVercel AI SDKany LLM

Alternatives

Helicone

llm-observability

Head-to-head comparisons

Updated 2026-05-23. We don't test every claim hands-on; pricing and feature data scraped live from vendor pages. Independent — no vendor PR.