Open-source LLM engineering platform: tracing, evals, prompt management, and datasets. Self-hostable, OpenTelemetry-native, with 50+ framework integrations.
Langfuse is the open-source platform for seeing what your LLM application actually did. Its tracing captures every model call, retrieval step, and agent action across multi-turn conversations and complex agent workflows, while prompt management adds versioning, deployment, and a built-in playground, and the evaluation layer supports LLM-as-judge, code evaluators, user feedback, and manual review. It is OpenTelemetry-native to reduce vendor lock-in and integrates with the OpenAI SDK, LangChain, LlamaIndex, LiteLLM, and 50+ other libraries via Python and JavaScript SDKs. You can self-host the full stack or use their cloud. Once an agent system grows past a prototype, this is the observability layer that makes debugging it tractable.
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pip install langfuse openainpm install @langfuse/client@6 @langfuse/tracing@6 @langfuse/otel@6git clone --depth=1 https://github.com/langfuse/langfuse.git && cd langfuse && docker compose upSources: Langfuse Cloud pricing, Self-hosted pricing, langfuse/langfuse README, Langfuse changelog, Python SDK v5 and JS/TS SDK v6, Langfuse v4, Project API key permissions
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Open-source LLM engineering platform: tracing, evals, prompt management, and datasets. Self-hostable, OpenTelemetry-native, with 50+ framework integrations.
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