LangSmith vs OpenLLMetry
LangSmith
langchain.comOpenLLMetry
traceloop.comSide by side
| Figure | LangSmith | OpenLLMetry |
|---|---|---|
| Price from | $39/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · AI LLM Observability Tools | 9.1 (#3) | 6.9 (#23) |
| Spec score · LLM Observability Tools | 9.0 (#5) | 6.9 (#26) |
| Framework support | LangSmith is framework-agnostic and accepts traces through its SDK or API from LangGraph, custom Python, or other application stacks. | The supported framework list includes LangChain, LlamaIndex, CrewAI, Haystack, and OpenAI Agents, with language support varying by framework. |
| Purpose | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. | OpenLLMetry is an open source project for monitoring and debugging LLM app execution, with non-intrusive tracing built on OpenTelemetry. |
| Self-hosting | Enterprise customers can run LangSmith self-hosted or hybrid on Kubernetes in AWS, Google Cloud or Azure. | Traceloop says it supports on-premise deployment in AWS, GCP, Azure, Kubernetes, air-gapped, and other restricted environments. |
| Support | The Developer plan includes community support, and the Enterprise plan lists a support SLA. | The Enterprise plan includes dedicated Slack support. |
Plans
In their own words
LangSmith
LangSmith is a commercial agent-engineering platform for building, evaluating, deploying, monitoring, and improving AI agents. It supports offline evaluations on curated datasets and real-time scoring of production interactions. Evaluation methods include human review, heuristic checks, LLM-as-judge evaluators, pairwise comparisons, and custom Python or TypeScript evaluators. Annotation queues route runs to subject-matter experts for feedback that can calibrate evaluations, improve prompts, or augment datasets. The Playground compares prompt versions or model providers, and LangSmith chat can auto-improve prompts. Observability includes agent and retrieval tracing, token and general cost tracking, trajectory monitoring, online evaluations, and webhook or PagerDuty alerts. Traces can arrive through SDKs or an API from LangGraph, custom Python, or other stacks; SDKs are listed for Python, TypeScript, Go, and Java. Hosting ranges from cloud to hybrid and self-hosted Enterprise options. The Developer plan costs nothing, Plus costs $39 a month, and Enterprise pricing is custom.
OpenLLMetry
OpenLLMetry has no write-up on Specifiction yet; its figures are above.