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Kosmoy AI Observability
What Kosmoy AI Observability is
Kosmoy AI Observability records production traces from AI models and agents, including retrieval, tool calls, guardrail decisions, latency, cost, evaluations, and feedback. It follows multi-step agent trajectories through model invocations, tool calls, failures, retries, and per-hop cost. Production traces can be sampled for online evaluations, while offline evaluations run against datasets; failed evaluations link back to their trace. The same trace model covers OpenAI, Anthropic, Azure, Bedrock, Vertex, and self-hosted models. Listed integrations include Google, Azure AI Foundry, AWS Bedrock, MCP servers, A2A peers, Snowflake, Databricks, Pinecone, and Weaviate. Kosmoy is single-tenant software deployed in a customer’s Kubernetes environment, including cloud, on-premises, and air-gapped deployments. The company says traces stay within that infrastructure without requiring a vendor-hosted control plane. It focuses on AI behavior and decision evidence, while general APM tools retain infrastructure and application health monitoring. Pricing is available on request, with enterprise proposals scoped to deployment and support needs.
Who it suits
Kosmoy is intended for enterprise AI workloads, including regulated and operationally critical organizations. It suits teams needing self-hosted tracing, evaluation links, and cost visibility across supported model providers.
What it does well
- Tracks multi-step agent trajectories
- Online and offline evaluations
- Supports major hosted and self-hosted providers
- Single-tenant Kubernetes deployment
- Cloud, on-premises, and air-gapped options
What to know first
- No free plan
- Pricing requires a request
- Trace completeness depends on instrumentation or routing
- Not a reconciled provider invoice
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Enterprise | Contact sales for an explicit proposal · Scoped by platform layers · workload · deployment boundary · implementation and support | On request |
As kosmoy.com lists them, read 8 Oct 2026. The maker's own page has the final word.
Verdict
Kosmoy combines AI tracing, evaluations, and cost evidence with customer-controlled deployment. Teams should confirm instrumentation coverage and available provider pricing inputs before relying on every trace or cost measure.
Facts from Kosmoy AI Observability's own pages
- Agent tracing
- The product records multi-step agent trajectories with model invocations, tool calls, failures, retries and per-hop cost. · kosmoy.com, 8 Oct 2026
- APM scope
- Kosmoy says it handles AI behavior and decision evidence while general APM tools retain infrastructure and application health monitoring. · kosmoy.com, 8 Oct 2026
- Audience
- Kosmoy describes its platform as intended for enterprise AI workloads, including regulated and operationally critical organizations. · kosmoy.com, 8 Oct 2026
- Coverage caveat
- Trace completeness depends on an instrumented or routed interaction, and provider usage and pricing inputs must be available for consumption and cost evidence. · kosmoy.com, 8 Oct 2026
- Data boundary
- Kosmoy says observability traces stay within the customer's infrastructure and that no vendor-hosted control plane is mandatory. · kosmoy.com, 8 Oct 2026
- Deployment
- Kosmoy is single-tenant software deployed in the customer's Kubernetes environment, including cloud, on-premises and air-gapped deployments. · kosmoy.com, 8 Oct 2026
- Evaluation
- Production traces can be sampled into online evaluations, while offline evaluations run against datasets; failed evaluations link to their trace. · kosmoy.com, 8 Oct 2026
- Headquarters
- Milan, Italy · kosmoy.com, 28 Sept 2026
- Integrations
- The platform page lists integrations including OpenAI, Anthropic, Google, Azure AI Foundry, AWS Bedrock, MCP servers, A2A peers, Snowflake, Databricks, Pinecone and Weaviate. · kosmoy.com, 8 Oct 2026
- Other limits
- Kosmoy says a trace is not a reconciled provider invoice, and an evaluation does not prove host-level containment. · kosmoy.com, 8 Oct 2026
- Providers
- The same trace model covers OpenAI, Anthropic, Azure, Bedrock, Vertex and self-hosted models. · kosmoy.com, 8 Oct 2026
- Purpose
- Kosmoy records production model and agent traces, including retrieval, tool calls, guardrail decisions, latency, cost, evaluations and feedback. · kosmoy.com, 8 Oct 2026
- Support
- Pricing proposals specify support coverage, architecture reviews, enablement and service-level requirements. · kosmoy.com, 8 Oct 2026
Where Kosmoy AI Observability stands on Freedom251
- AI Agent Observability Tools#30 of 31