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LangChain traces + evals
Best for engineers who already write agent code and will open traces when a run surprises them
Verified 22 Oct 2026 · Asia/Shanghai
Pricing. Developer — $0 / seat / month.
Decide
Full notes belowGetting Started with LangSmith (1/8): Tracing — official LangChain channel. Official LangSmith tracing walkthrough.

Open-source Python/JS framework for LLM apps plus LangSmith traces
Best for Code / Agents · Free-only

LLM observability dashboard
Best for Open-source / Self-host · Free-only

MIT visual builder for LLM agents and RAG flows — self-host or free Langflow Desktop
Best for Code / Agents · Open-source / Self-host
LangSmith is LangChain’s hosted observability and eval studio: traces, datasets, playground runs, and (on Plus) Deployment. Use it when the job is see what an agent did, then score it.
What makes it unique: the cover is LangSmith’s official Select generated examples UI from the datasets docs — Input / Output JSON pairs and Save examples.
Best fit: engineers who already write agent code and will open traces when a run surprises them.
Verified 2026-10-22 (Asia/Shanghai) from langchain.com/pricing. 1 LSU = $1.00. Seats bill monthly; traces bill in arrears.
Base traces retain 14 days; extended traces 180 days (upgrade fee). LangSmith states it keeps traces private to the organization.
Official LangChain channel video: Getting Started with LangSmith (1/8): Tracing (oEmbed author: LangChain).
Written path: Create and manage datasets in the UI plus Pricing.
https://www.langchain.com/langsmith
Catalog row curated for AI Tools Nav. Cover is LangSmith’s official Select generated examples still from docs.langchain.com (Input/Output JSON + Save examples), a different still from the LangChain traces cover. Dollars checked on langchain.com/pricing (Developer $0; Plus $39; 1 LSU = $1). Tutorial: Getting Started with LangSmith on @LangChain (oEmbed).
2026-10-22 (Asia/Shanghai) editorial check.