Description

Langfuse is an open source AI engineering platform for tracing, evaluating, managing prompts, and monitoring metrics for LLM applications. It is built to help teams debug and improve applications from prototype to production using real usage data.

The platform supports observability for hierarchical traces, evaluations with human or automated review, prompt management with deployments and rollbacks, playground testing, experiments, and dashboards for cost and latency.

How we innovate

Langfuse is distinctive for combining observability, prompt management, evaluations, experiments, and human annotation in one open source platform with broad integration support and self-hosting options.

Use Case / Scenario

1. Observe LLM applications

Capture traces across LLM calls, tool invocations, and retrieval steps to inspect user sessions, latency, cost, and other metadata.

2. Improve prompts and quality

Manage prompts outside code, run evaluations, compare models, and use human review to improve output quality over time.

3. Support production workflows

Use dashboards, alerts, experiments, and integrations to continuously debug, monitor, and refine AI agents and LLM applications at scale.

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