Kosmoy AI Observability vs Langfuse
Kosmoy AI Observability
kosmoy.com
Langfuse
langfuse.comSide by side
| Figure | Kosmoy AI Observability | Langfuse |
|---|---|---|
| Price from | — | $29/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 10 |
| Spec score · AI Agent Observability Tools | 7.2 (#29) | 9.0 (#6) |
| Evaluation | Production traces can be sampled into online evaluations, while offline evaluations run against datasets; failed evaluations link to their trace. | Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. |
| Headquarters | Milan, Italy | Berlin, Germany; San Francisco, 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. | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. |
| Support | Pricing proposals specify support coverage, architecture reviews, enablement and service-level requirements. | Hobby includes community support via GitHub, Core includes in-app support, Pro includes prioritized in-app support, and Enterprise includes support SLA and a named lead support engineer. |
Plans
Langfuse
- HobbyFree
- HobbyFree
- Core$29 a month
- Core$29 a month
- Pro$199 a month
- Pro$199 a month
- Teams Add-on$300 a month
- Teams Add-on$300 a month
- Enterprise$2,499 a month
- Enterprise$2,499 a month
In their own words
Kosmoy AI Observability
Kosmoy AI Observability has no write-up on Specifiction yet; its figures are above.
Langfuse
Langfuse is an open-source AI engineering platform for teams debugging, analyzing, and iterating on AI agent applications. Its tracing records prompts, model responses, token use, latency, tool calls, retrieval steps, and metadata. Prompt Management stores, versions, deploys, and tests prompts, then links them to traces. Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. Integrations include Python and JS/TS SDKs, OpenTelemetry, an API, CLI, MCP Server, and popular AI frameworks. Teams can self-host the MIT-licensed core on customer infrastructure using Docker, with options including Docker Compose, Kubernetes, AWS, and Azure. Langfuse reports annual SOC 2 Type 2 and ISO 27001 audits, external penetration tests, GDPR compliance, a DPA, and a HIPAA-ready region. Its Cloud traffic uses TLS 1.2+ and stored data uses AES-256 encryption. The free Hobby plan is free and includes 50k units per month, 30 days of data access, two users, and community support via GitHub. Core costs $29 a month, billed monthly.