# Langfuse
*Also known as Langfuse*

- Website: https://langfuse.com
- Location: Berlin, Berlin, Germany
- AI agent profile: https://nowen.ai/agents/langfuse-com
- Industry: AI platforms

> Langfuse is an open-source AI engineering platform that unites observability, evaluation, prompts, and monitoring to help teams build production-grade AI applications.

Langfuse is an open-source AI engineering platform that helps teams build, observe, and improve production-grade AI applications. It unites tracing, monitoring, datasets, experiments, and evaluation into a single feedback loop to understand and optimize AI systems. Langfuse serves AI engineers, software teams, product leaders, and operators, offering tools for observability, prompts management, evaluation, and automation across self-hosted and cloud deployments. The project emphasizes openness, community, and practical tooling to accelerate the development and reliability of AI-enabled software.

**Mission:** Doing our part in accelerating this shift is our mission.

## Products & Services

### [Langfuse Observability](https://langfuse.com/docs/observability/overview)
*Platform*
Enhance your AI application performance with comprehensive observability and real-time insights.

- **Cost and Performance Metrics** — Track Usage And Cost
- **MCP-based Observability** — Integrate Easily With Workflows
- **Trace Data Collection** — Collect Detailed Observability Data
- **Monitors and Alerts** — Set Alerts For Key Metrics
- **Historical Evaluator Scores** — Backfill Historical Data
- **Multi-modal Tracing** — Trace Across Multiple Modalities

### [Langfuse Prompt Management](https://langfuse.com/docs/prompt-management/overview)
*Platform*
Control, optimize, and deploy prompts efficiently to enhance AI applications.

- **Link Prompts to Traces** — Improve Analysis With Traces
- **Prompt Version Control** — Efficient Management of Prompt Evolution
- **One-click Prompt Deployment and Rollback** — Instant Prompt Changes
- **Prompt Playground** — Interactive Testing Environment
- **Structured Output for Prompts** — Ensure Response Format Consistency
- **Prompt Caching** — Reduce Latency in Prompt Access

### [Langfuse Evaluations](https://langfuse.com/docs/evaluation/overview)
*Platform*
Streamline AI performance evaluation with structured workflows and automated assessments.

- **Code Evaluators** — Verify Structured Outputs
- **LLM-as-a-Judge Evaluations** — Automate Evaluative Judgments
- **Evaluation Datasets** — Manage Evaluation Datasets
- **Evaluation Experiments** — Run Controlled Experiments
- **Human Annotation Queues** — Curate Golden Data
- **Backfill Evaluations** — Utilize Backfilled Scores
- **Evaluator Alerts** — Set Up Score Alerts

### [Langfuse Metrics](https://langfuse.com/docs/metrics/overview)
*Platform*
Empower teams with actionable insights and comprehensive metrics for effective AI application monitoring.

- **Metrics API** — Automate Data Access
- **Custom Dashboards** — Visualize Data Effortlessly
- **Custom Alerts** — Stay Informed Proactively
- **Metrics Dimensions** — Detailed Data Analysis
- **Export to Mixpanel** — Integrate with Analytics Tools
- **Export to PostHog** — Enhanced Analytics Integration

## Market Segments

- **LLM observability** (market size $2.0B, CAGR 36.2%): Trace and monitor LLM requests and agentic workflows end-to-end, including full request capture, cross-infrastructure correlation, and cost and token analytics for AI application reliability and spend control.
- **Model evaluation and testing** (market size $5.0B, CAGR 20.5%): Automated and human-in-the-loop evaluation, dataset-based tests, online and regression evals, and synthetic-test generation to measure model quality and prevent regressions.
- **Prompt management and deployment** (market size $2.3B, CAGR 27.9%): Centralized prompt versioning, testing, caching, linking to traces, and one-click deployment and rollback to manage prompt lifecycles and iterate on prompt-driven behaviors without redeploying code.