LangSmith vs Traceloop

Side-by-side comparison of LangSmith and Traceloop: pricing, features, API access, and community ratings.

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LangSmith
LangSmith

The end-to-end platform for building, testing, and monitoring LLM-powered applications

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Traceloop
Traceloop

LLM reliability platform that turns evals and monitors into a continuous feedback loop

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Category
AI observability
AI observability
Pricing
Freemium
Freemium
Starting price
Free tier
Audience
Technical
Technical
API available
Open source
Self-hostable
Model provider
LangChain (model-agnostic)
Agnostic (OpenAI, Anthropic, Gemini, Bedrock, Ollama, and 20+ others)
Founded
2023
Headquarters
San Francisco, USA
Key strengths
  • ·Deep LangChain & LangGraph integration for zero-config tracing
  • ·End-to-end LLM observability with detailed trace visualization
  • ·Built-in evaluation and dataset management for regression testing
  • ·Prompt management with versioning and A/B testing support
  • ·One-line instrumentation for instant LLM observability
  • ·Built on OpenTelemetry with open-source OpenLLMetry SDK
  • ·Supports 20+ LLM providers, vector DBs, and AI frameworks
  • ·Custom evaluator training on real annotated examples