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🏒 HQ: GermanyπŸ–₯️ Servers: Self-hosted / Langfuse Cloudβœ“ GDPR CompliantπŸ‡ͺπŸ‡Ί European Company

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

  • βœ“LLM tracing and observability
  • βœ“OpenTelemetry-based traces
  • βœ“Prompt management
  • βœ“Evaluation and scoring
  • βœ“Human annotation workflows
  • βœ“Dataset management
  • βœ“Metrics and analytics
  • βœ“LLM Playground
  • βœ“Langchain integration
  • βœ“OpenAI SDK support
  • βœ“LlamaIndex integration
  • βœ“Self-hosting option

πŸ”’ 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

AI teams building LLM applicationsDevelopers debugging AI agentsOrganizations evaluating LLM outputsTeams managing prompts at scaleEnterprises with self-hosted AI requirementsCompanies seeking Weights & Biases alternative for LLMs

πŸ’° 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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