LangSmith vs OpenZiti LLM Gateway
LangSmith
langchain.comOpenZiti LLM Gateway
github.comSide by side
| Figure | LangSmith | OpenZiti LLM Gateway |
|---|---|---|
| Price from | $39/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · LLM Gateway Software | 9.2 (#1) | 7.4 (#28) |
| Spec score · LLM gateways | 9.3 (#2) | 7.1 (#27) |
| Deployment | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. | The project describes deployment as one Go binary and one YAML file, with no database, message queue, or sidecar required. |
| Headquarters | San Francisco, California, United States | Charlotte, North Carolina, United States |
| Integrations | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. | Documented backends include OpenAI, Anthropic, Ollama, vLLM, llama-server, and SGLang; clients use an OpenAI-compatible API. |
| Observability | Its observability features include agent tracing, cost tracking, online LLM-as-judge and code evaluations, trajectory monitoring, and webhook or PagerDuty alerts. | When enabled, Prometheus-exported metrics include request counts, latency, token counts, routing decisions, provider errors, and endpoint health. |
| Purpose | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. | It is an OpenAI-compatible API proxy that routes requests to OpenAI, Anthropic, and compatible backends such as Ollama and vLLM. |
| Tracing | Tracing records agent conversations and runs step by step, including prompts, model calls, tools, errors, latency and token usage. | Optional tracing logs request metadata and truncated message content, with a configurable maximum content length. |
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.
OpenZiti LLM Gateway
OpenZiti LLM Gateway has no write-up on Specifiction yet; its figures are above.