Kosmoy AI Observability vs OpenLIT
Kosmoy AI Observability
kosmoy.comOpenLIT
openlit.ioSide by side
| Figure | Kosmoy AI Observability | OpenLIT |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| 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) | 8.5 (#9) |
| Deployment | Kosmoy is single-tenant software deployed in the customer's Kubernetes environment, including cloud, on-premises and air-gapped deployments. | The platform can be self-hosted using Docker Compose or Kubernetes Helm and accepts OpenTelemetry data through OTLP. |
| 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 home page advertises more than 56 integrations spanning LLMs, agent frameworks, vector databases and GPUs. |
| Support | Pricing proposals specify support coverage, architecture reviews, enablement and service-level requirements. | The OSS plan includes community support on GitHub. |
Plans
In their own words
Kosmoy AI Observability
Kosmoy AI Observability has no write-up on Specifiction yet; its figures are above.
OpenLIT
OpenLIT is an open-source platform for tracing and evaluating LLM activity, managing prompts, and tracking costs. Built on OpenTelemetry, it can capture model calls, tool use, and retrievals, with filters for user, session, cost, latency, and metadata. Evaluations can use an LLM judge, heuristics, or human review on production traffic or experiments. Prompt Hub provides versioning, dynamic variables, API retrieval, unlimited prompt fetching, and AI-assisted improvement. OpenGround supports side-by-side model comparisons for latency, tokens, and cost, including comparisons using a user’s own key. Coding agent monitoring covers sessions, costs, tokens, repository activity, and code impact. The site lists more than 56 integrations across LLMs, agent frameworks, vector databases, and GPUs. OpenLIT accepts OTLP data and can be self-hosted with Docker Compose or Kubernetes Helm. Its Apache 2.0 license and site description note that self-hosting keeps prompts, traces, and secrets in the user’s environment. The OSS plan costs nothing and includes unlimited self-hosted usage, users, projects, and environments.