What is Langfuse?
Langfuse is the open-source LLM engineering platform for debugging and improving your LLM applications. Capture complete traces of your LLM applications and agents with OpenTelemetry-based observability. Use traces to inspect failures and build evaluation datasets. The platform provides LLM tracing, prompt management, evaluation, human annotation, datasets, metrics, and a playground for experimentation. Langfuse integrates with all popular LLM and agent libraries including Python SDK, JS/TS SDK, OpenAI SDK, Langchain, LlamaIndex, LiteLLM, Dify, Flowise, Langflow, Vercel AI SDK, and Instructor. From observability to evaluation, Langfuse is the complete platform for production LLM development.
Key Features
- ✓LLM tracing and observability
- ✓OpenTelemetry-based traces
- ✓Prompt management
- ✓Evaluation and scoring
- ✓Human annotation workflows
- ✓Dataset management
- ✓Metrics and analytics
- ✓LLM Playground
- ✓Langchain integration
- ✓OpenAI SDK support
- ✓LlamaIndex integration
- ✓Self-hosting option
🔒 Privacy & Data Protection
Langfuse is developed in Germany (EU) and offers self-hosting for complete control over LLM traces and evaluation data. Keep prompts, completions, and user interactions on your own infrastructure. The open-source codebase is auditable. For organizations building LLM applications with sensitive data, self-hosted Langfuse ensures AI observability data stays within European or on-premises environments.
Best For
💰 Pricing
Langfuse Cloud offers a free tier for getting started. Team and Enterprise plans add advanced features and support. Self-hosting is available for organizations requiring on-premises deployment. Visit langfuse.com for current pricing.
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