LangSmith vs ReadMe

LangSmith

ReadMe

LangSmith · 14 features

• Alerts — Threshold alerts on latency, cost, eval metrics.
• Annotation Queues — Human-review workflows for trace quality rating.
• Custom Dashboards — Aggregate metrics dashboards per project/tag.
• Datasets — Collect examples → use as eval sets or training data.
• Evaluations — LLM-as-judge, embedding similarity, custom Python evaluators, offline batch eval…
• LangChain Integration — Auto-trace any LangChain/LangGraph run with env var.
• LangGraph Integration — First-class trace + eval for LangGraph agents.
• LLM Tracing — Automatic trace every LLM call + tool call + chain step.
• OpenTelemetry Export — Export traces as OTLP to Datadog/Honeycomb/etc.
• Playground — Test prompts + models inline before deploying.
• Prompt Canvas — Visual prompt editor with live test + eval.
• Prompt Hub — Public + private prompt library with versioning.
• Self-Hosted (Enterprise) — Docker + k8s deployment in your infra.
• Threads + Sessions — Group traces into conversational sessions.

ReadMe · 15 features

• API Reference — OpenAPI → interactive reference.
• Changelog — Versioned release notes.
• Custom Branding — Logo, colors, fonts.
• Custom Domain — docs.yourco.com.
• Discussion Forum — Developer community.
• Guides — Markdown-style conceptual docs.
• Interactive Tutorials — Guided walkthroughs.
• Localization — Multi-language docs (Enterprise).
• Metrics — API usage logging + analytics.
• Recipes — Multi-step tutorials.
• Search — Full-text search.
• SSO — SAML + OIDC.
• Suggested Edits — Community-contributed edits.
• Try It Console — In-browser request runner.
• Versioning — Multi-version docs.