Kosmoy AI Observability vs LangSmith
Kosmoy AI Observability
kosmoy.comLangSmith
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| Figure | Kosmoy AI Observability | LangSmith |
|---|---|---|
| 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 | 1 | 3 |
| Spec score · AI Agent Observability Tools | 7.2 (#29) | 9.1 (#4) |
| Deployment | Kosmoy is single-tenant software deployed in the customer's Kubernetes environment, including cloud, on-premises and air-gapped deployments. | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. |
| Evaluation | Production traces can be sampled into online evaluations, while offline evaluations run against datasets; failed evaluations link to their trace. | Evaluation supports offline datasets, online production evaluations, human annotation queues and side-by-side experiment comparison. |
| Headquarters | Milan, Italy | San Francisco, California, United States |
| Integrations | The platform page lists integrations including OpenAI, Anthropic, Google, Azure AI Foundry, AWS Bedrock, MCP servers, A2A peers, Snowflake, Databricks, Pinecone and Weaviate. | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. |
| Purpose | Kosmoy records production model and agent traces, including retrieval, tool calls, guardrail decisions, latency, cost, evaluations and feedback. | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. |
| Support | Pricing proposals specify support coverage, architecture reviews, enablement and service-level requirements. | The Developer plan includes community support, and the Enterprise plan lists a support SLA. |
Plans
In their own words
Kosmoy AI Observability
Kosmoy AI Observability has no write-up on Specifiction yet; its figures are above.
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.