langfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Langfuse traces every LLM call, tool use and cost in your application, with prompt management and evaluation built in — self-hostable.
From the README
pip install langfuse openai
- VM: Run Langfuse on a single Virtual Machine using Docker Compose.
- Kubernetes (Helm): Run Langfuse on a Kubernetes cluster using Helm. This is the preferred production deployment.
- Terraform Templates: AWS, Azure, GCP
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytime🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
langfuse has 33.9k stars on GitHub. It has been forked 3.7k times. langfuse is written mainly in TypeScript. It has been in active development since 2023. Its main topics are analytics, autogen, evaluation, langchain.
Read the full guideWhat is langfuse?
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Is langfuse open source?
langfuse is an open-source project.
Is langfuse free?
Yes. langfuse is free and open source — you can use, modify and self-host it.
What language is langfuse written in?
langfuse is written mainly in TypeScript.
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