Langfuse

Langfuse is an open-source LLM engineering platform designed to streamline the development and optimization of AI-powered applications. By providing a suite of tools for observability, analytics, and experimentation, Langfuse enables teams to build production-grade LLM applications with greater efficiency and confidence.

Key features:

• LLM Observability: Capture the full context of your application's execution, including API calls, prompts, and complex logic, through hierarchical tracing.
• Prompt Management: Centrally manage, version control, and collaboratively iterate on prompts, with the ability to deploy changes without code updates.
• Evaluations: Assess LLM output quality through user feedback collection, automated LLM-as-a-judge evaluations, and manual data labeling workflows.
• Analytics Dashboard: Monitor key metrics such as cost, latency, and quality, with breakdowns by user, session, feature, and model.
• Datasets and Experimentation: Create test sets from production edge cases, benchmark new releases, and run experiments on collections of inputs and expected outputs.
• LLM Playground: Rapidly test and iterate on prompts and model configurations, with support for variables and custom model endpoints.

Langfuse integrates seamlessly with popular frameworks like LangChain, LlamaIndex, and OpenAI SDK, offering both cloud-hosted and self-hosted deployment options. The platform's API-first approach and extensive SDKs for Python and JavaScript/TypeScript ensure easy integration into existing workflows.

Whether you're developing a simple chatbot or a complex AI agent, Langfuse provides the tools necessary to debug, analyze, and improve your LLM applications throughout their lifecycle. By offering deep insights into application behavior and performance, Langfuse empowers developers to build more reliable, cost-effective, and high-quality AI-powered solutions.