Langfuse
Self-hosted LLM observability and analytics
Overview
Langfuse is an open-source observability platform for LLM applications. It provides tracing, prompt management, and analytics to help you understand how your AI features perform in production—all running on your own infrastructure.
Instrument your LLM calls with Langfuse's SDK to capture prompts, completions, latencies, and costs. The dashboard gives you visibility into token usage, error rates, and user satisfaction scores. Debug production issues by drilling into individual traces.
For teams building AI products, Langfuse provides the observability layer you need to iterate confidently. A/B test prompts, track regression across model versions, and ensure your AI features meet quality standards—without sending sensitive data to external analytics services.
Key Capabilities
- Distributed tracing for LLM calls
- Prompt versioning and management
- Cost and latency analytics
- User feedback collection
- Evaluation pipelines for quality assurance
- Integration with major LLM frameworks
LLM Observability On Your Terms
Full telemetry data stays on your servers
No prompt or completion data sent externally
Perfect for sensitive AI applications
Compliant with data residency requirements
What CrateRunner adds
Deploy Langfuse with enterprise-grade governance, fleet operations, and one-command simplicity.
Get access to Langfuse
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