Developer
Free
- Up to 5,000 base traces/mo, then pay-as-you-go
- 14-day base retention
- One seat
- Basic evaluations
LangSmith is LangChain's commercial platform for building and running AI agents. It covers observability, evaluation, prompt management, and deployment, and its tracing works natively with LangChain and LangGraph and with other frameworks through SDKs for Python, TypeScript, Go, and Java plus OpenTelemetry. Teams already on LangChain get trace structure for every chain, tool, and agent step without adding instrumentation.
Pricing combines seats and traces. The free Developer plan is limited to one seat, and each Plus seat costs $39 a month, so the bill grows with team size as well as traffic. Base traces are kept for 14 days, and keeping a trace longer moves it to a pricier extended tier. Self-hosting and hybrid deployment are only available on Enterprise.
LangSmith also added an LLM Gateway, currently in beta, for multi-provider access, fallbacks, and spend limits. If per-seat pricing or a gateway still in beta is a sticking point, the LangSmith alternatives worth comparing include platforms that ship a production gateway alongside tracing and evals.
Core capabilities this platform advertises.
What this tool does well, and the limitations to keep in mind.
Pros
Cons
What's included in each plan, and how the tiers compare.
Free
$39
Per seat/month
Custom
Contact sales for a quote
Teams building agents on LangChain or LangGraph who want tracing, evals, and deployment from one vendor
Teams building on LangChain or LangGraph can trace with Respan through respan-instrumentation-langchain, which captures every chain, model, tool, retriever, and agent run. Point model calls at the Respan gateway too, and each request is routed across 1,000+ models, traced, and scored on the same record.
Respan traces every LangChain and LangGraph run, routes each model call across 1,000+ models, and scores output on live traffic, with unlimited seats on the free plan. Start free.
Try Respan freeTop companies in Observability, Prompts & Evals you can use instead of LangSmith.
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HoneyHive
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Promptfoo
Phoenix
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Patronus AI
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Humanloop
Portkey
Sentry
DeepEval
Ragas
RAG-specific evaluation framework
LangWatch
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Galileo AI
LLM output quality evaluation
PromptLayer
Maxim AI
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Confident AI
DeepEval open-source evaluation framework
Opik
Agenta
Future AGI
Multimodal evaluation (text, image, audio, video)
Lunary
Parea AI
Chamber
ML infrastructure automation
Moda
Hallucination detection
Ashr
Multi-modal synthetic testing
Sentrial
Agent failure root cause analysis
Athina AI
Laminar
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OpenObserve
Logs, metrics, traces, RUM, and session replay
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Session replay with time-travel debugging
Fiddler AI
Agentic observability across multi-step agent workflows
Side-by-side comparisons with other tools in this category.
Companies from adjacent layers in the AI stack that work well with LangSmith.
Last verified: March 9, 2026