LangSmith
LangChain's hosted platform for tracing, evaluating and deploying LLM agents.
How the 6.8 was reached
- Quality of outputn/a
no evidence found
- Ease of use7/10
Simple sign-up with Google, GitHub, Discord or email and region choice; docs page not found. smith.langchain.com
- Pricing value7/10
Free plan with 5k traces a month; Plus $39 per seat; overages $2.50 per 1k traces. metacto.com
- API and integration quality8/10
Python, TypeScript, Go and Java SDKs, OpenTelemetry, and OpenAI, Anthropic and LlamaIndex integrations. costbench.com
- Solves the problem it claims to solve5/10
Only independent evidence says it fits poorly outside LangChain stacks and needs significant setup overhead. futureagi.com
6.8/10 is the mean of the 4 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- 5k traces per month
- Overages at $2.50 per 1k traces
Key Features
- Tracing and observability for agents
- Evaluation and deployment tooling
- Python, TypeScript, Go and Java SDKs
- OpenTelemetry support
- Integrations with OpenAI, Anthropic and LlamaIndex
Pros & Cons
Pros
- Broad SDK coverage across four languages
- OpenTelemetry and multi-provider integrations
- Simple sign-up with Google, GitHub, Discord or email
- Region choice of US, EU or APAC
Cons
- Independent evidence says it fits poorly outside LangChain stacks
- Setup overhead is reported as significant
- Per-seat pricing plus trace overages can grow with teams
- The docs page and pricing page could not be found
Best for teams already building on LangChain or LangGraph who want first-party tracing. Teams on other stacks should look at Langfuse or similar tools first.
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Competitors to LangSmith
Other tools in the coding category worth comparing.
LangChain
8.4/10Open source framework for building LLM-powered agents and applications with prebuilt architecture and integrations.
LangGraph
8.0/10Low-level orchestration framework for building, managing, and deploying stateful AI agents.
Evidently AI
7.6/10Open-source ML monitoring and testing framework for data drift and model performance
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