Langfuse

Langfuse

Open Source LLM Engineering Platform for debugging and improving LLM applications.

Langfuse is an Open Source LLM Engineering Platform designed to debug and improve LLM applications. It integrates with Langchain, OpenAI, LlamaIndex, LiteLLM, and more, offering traces, evals, prompt management, and metrics. It's built with security in mind, SOC 2 Type II and ISO 27001 certified, GDPR compliant, and aligned with HIPAA.

Freemium
Langfuse screen shot

How to use Langfuse?

Langfuse can be used to trace, evaluate, and manage prompts in LLM applications. It helps in debugging applications faster, managing prompts collaboratively, testing different prompts and models, collecting user feedback, and tracking cost, latency, and quality. It's suitable for teams building complex LLM apps.

Langfuse 's Core Features

  • Detailed production traces to debug LLM applications faster
  • Version and deploy prompts collaboratively with low latency
  • Test different prompts and models in the Langfuse UI
  • Collect user feedback and run evaluation functions
  • Derive datasets from production data for fine-tuning models
  • Track cost, latency, and quality metrics
  • Langfuse 's Use Cases

  • Developers can debug LLM applications faster with detailed production traces.
  • Teams can collaboratively version and deploy prompts with low latency.
  • Product managers can test different prompts and models directly in the UI.
  • Data scientists can collect user feedback and run evaluations to improve models.
  • Startups can leverage the Hobby plan for POCs without any cost.
  • Langfuse 's Pricing

    Hobby

    Free

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

    Core

    $59/month

    For production projects. Includes access to more history, usage and unlimited users.

    Pro

    $199/month

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

    Enterprise

    Custom

    Enterprise-grade support and security features.

    Langfuse 's FAQ

    Most impacted jobs

    Developers
    Data Scientists
    Product Managers
    AI Researchers
    Startup Founders
    Educational Users
    Non-profits
    Open-source Contributors
    Enterprise Architects
    Security Professionals

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