Langfuse provides open source tracing, evaluation, and prompt management for large language model applications to monitor costs, latency, and quality.
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What it is
Langfuse is an open source engineering platform designed to trace, evaluate, and monitor large language model applications from prototype to production scale. It connects tracking, prompt management, experiments, and human feedback into a continuous improvement loop.
Key features
- Hierarchical traces to capture every call, tool invocation, and retrieval step with cost and latency metrics
- Prompt management that separates prompts from code with one-click deployments and rollbacks
- Evaluation capabilities using large language model judges, heuristic functions, or human review workflows
- Interactive playground for testing prompts on production inputs and comparing models side by side
- Built-in analytics dashboards with automated alerts for tracking performance metrics
- Open source architecture with self-hosting options via Docker Compose, Kubernetes, or Terraform
Who it's for
Langfuse is built for software engineers and machine learning developers building production-ready applications with large language models and autonomous agents.
Pricing
Check the official website for current pricing.
Use cases
- Monitor large language model costs and latency
- Manage prompts separately from codebase
- Run automated evaluations on production data
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