Langfuse

Observability

Langfuse is an open-source LLM engineering platform designed to help developers build, monitor, and optimize large language model applications. It provides tools for observability, metrics tracking, prompt management, and evaluations, enabling teams to iterate on their LLM workflows efficiently. Users can self-host or use a cloud version, making it accessible for both startups and larger enterprises.

Langfuse is the definitive open-source toolkit for engineering teams looking to transition their LLM projects from prototype to production with confidence. By providing a comprehensive suite for observability, tracing, and metrics, it allows developers to peer into the 'black box' of model interactions. The platform excels at prompt management and collaborative evaluations, ensuring that every iteration improves the final user experience. Whether you are building a simple chatbot or a complex multi-agent system, Langfuse offers the transparency needed to track costs, latency, and quality. With flexible deployment options including self-hosting and a managed cloud, it empowers teams of all sizes to optimize their AI workflows, manage versioning seamlessly, and deliver high-performance language model applications that meet rigorous enterprise standards.

Industry: Technology

Pricing: Freemium

Use cases: Developer, Sales, Creator

Capabilities: LangChain, LlamaIndex, OpenAI, Anthropic, Python SDK, JS/TS SDK

Tags: LangChain, LlamaIndex, OpenAI, Anthropic, Python SDK, JS/TS SDK

• What integrations does Langfuse support for LLM development?
• Which SDKs are available for developing with Langfuse?
• Does Langfuse offer both self-hosted and managed cloud deployments?