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Langfuse

Open Source LLM Engineering Platform for traces, evals, prompt management, and metrics to debug and improve LLM applications.

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Introduction

Langfuse is an open-source LLM engineering platform designed to debug, evaluate, and improve LLM applications. It offers key features such as:

  • Tracing: Capture complete traces of LLM applications and agents, enabling detailed inspection of failures and the creation of evaluation datasets.
  • Evaluation: Evaluate LLM performance using metrics and human annotations to identify areas for improvement.
  • Prompt Management: Streamline prompt engineering with tools for managing and versioning prompts.
  • Metrics: Track key performance indicators to monitor and optimize LLM application performance.
  • Integrations: Seamlessly integrates with popular LLM frameworks and libraries like Langchain, OpenAI, LlamaIndex, and LiteLLM.

Langfuse is designed for developers and teams building LLM-powered applications, offering tools to enhance observability, ensure quality, and optimize performance.

Latest News

Introducing Enhanced LLM Analytics with Langfuse Integration

Introducing Enhanced LLM Analytics with Langfuse Integration

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nOps unveils Clara AI Agent Observability powered by a new Langfuse integration, providing real-time performance tracking, intelligent error detection, and automated improvements for AI agents by tracing interactions, analyzing response quality, and optimizing based on usage data.

Top 5 LLM Evaluation Platforms for 2026

Top 5 LLM Evaluation Platforms for 2026

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Langfuse is ranked among the top LLM evaluation platforms for 2026, praised for its developer-first tracing, prompt versioning, nested traces, and integration with CI/CD, ideal for teams needing deep control and transparency.

Monitor and Evaluate Open AI SDK Agents using Langfuse

Monitor and Evaluate Open AI SDK Agents using Langfuse

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This tutorial demonstrates building an agentic workflow with OpenAI SDK and using Langfuse with OpenTelemetry to capture and visualize trace data across agents like Assist, Validation, and Sensitive Info Checker, including best practices for monitoring.

Roadmap Discussion Thread (2026)

Roadmap Discussion Thread (2026)

1/7/2026

Langfuse team announces exciting plans for 2026 and invites community feedback on features to add or fix in their roadmap discussion on GitHub.

Changelog

Changelog

1/7/2026

Langfuse changelog page lists latest release updates from the team, with recent activity noted on January 7, 2026.

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FAQ

User Reviews

4.0/5.0
(9reviews)
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Pricing

Pricing Model: Freemium

Hobby

Get started, no credit card required. Great for hobby projects and POCs.

Free
monthly

Core

For production projects. Longer data retention and unlimited users.

$29/month
monthly

Pro

For scaling projects. Unlimited history, high rate limits, all features.

$199/month
monthly

Enterprise

For large scale teams. Enterprise-grade support and security.

$2499/month
monthly

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