LangSmith

LangChain's observability platform

Observability Free tier → $39/mo Plus
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What It Is

LangSmith is LangChain's observability, evaluation, and prompt management platform. It provides tracing (every LLM call, tool use, and retrieval), evaluation suites (run test cases against your prompts), prompt versioning, and monitoring for production LLM apps. Integrates natively with LangChain but also works with any framework via the LangSmith SDK.

How It Works

Instrument your app with the LangSmith SDK (one line of code if using LangChain). Every LLM call is captured as a trace with inputs, outputs, latency, cost, and any tool calls. You can create datasets from production traces to build regression tests. Evals can be LLM-as-judge (use another LLM to grade outputs), heuristic (regex, exact match), or human-in-the-loop.

Pricing Breakdown

Free tier: 5,000 traces/month. Developer: $39/month (100k traces). Plus: $250/month (1M traces). Enterprise: custom.

Who Uses It

Every serious LangChain user and many framework-agnostic teams. Particularly popular for teams needing prompt management and regression testing.

Strengths & Weaknesses

✓ Strengths

  • Deep LangChain integration
  • Eval suite
  • Prompt versioning
  • Dataset management

× Weaknesses

  • Best with LangChain
  • Paid tier for production volume
  • Vendor-dependent

Best Use Cases

LangChain appsEval loopsPrompt managementProduction tracing

Alternatives

Langfuse
Open-source LLM observability
Helicone
LLM observability via proxy
Arize Phoenix
Open-source ML observability
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