Kosmoy AI Observability
5.2#31 in ai agent observability toolsWebAPISelf-hosted
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| Fact | Kosmoy AI Observability | Opik |
|---|---|---|
| Audience | Kosmoy describes its platform as intended for enterprise AI workloads, including regulated and operationally critical organizations. | The pricing page describes Opik as a platform for teams building applications or agents that make calls to an LLM, and says its free plans suit development and testing. |
| Evaluation | Production traces can be sampled into online evaluations, while offline evaluations run against datasets; failed evaluations link to their trace. | Opik supports datasets, experiments, assertions and LLM-as-a-judge metrics for issues such as hallucination, relevance and moderation. |
| Headquarters | Milan, Italy | New York City, 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. | The integration catalog covers TypeScript, Python, Java, .NET and Ruby ecosystems plus no-code tools and OpenTelemetry. |
| Purpose | Kosmoy records production model and agent traces, including retrieval, tool calls, guardrail decisions, latency, cost, evaluations and feedback. | Opik logs agent actions and provides automated evaluation workflows to find and fix errors across development, testing, and production. |
| Support | Pricing proposals specify support coverage, architecture reviews, enablement and service-level requirements. | The pricing page lists community and self-service support across plans, email support for Pro and Enterprise, and dedicated support and SLAs for Enterprise. |
You want what its maker publishes above — check its page for the details.
Opik is for teams building LLM applications or agents that need tracing, evaluation, and production monitoring. Its free plans are described as suitable for development and testing.