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    Langfuse

    Open Source LLM Engineering Platform

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    Metrics and Evaluation

    O que é Langfuse ?

    Langfuse is the open source LLM Engineering Platform. It provides observability, metrics, evals, prompt management and a playground and to debug and improve LLM apps. Langfuse is open. It works with any model, any framework, allows for complex nesting and has open APIs to build downstream use cases. Docs: langfuse.com/docs Github: github.com/langfuse/langfuse

    Quais são os cenários de uso do Langfuse?

    1. Debugging LLM applications using detailed production traces.
    2. Collaborative prompt management for versioning and deploying prompts.
    3. Testing different prompts and models in a user-friendly interface.
    4. Collecting user feedback and running evaluations to improve LLM performance.
    5. Deriving datasets from production data for model fine-tuning.
    6. Tracking metrics such as cost, latency, and quality for LLM applications.
    7. Integrating with various LLM frameworks and libraries for enhanced functionality.

    Quais são os destaques da característica do Langfuse?

    1. Open-source platform for LLM engineering.
    2. Comprehensive tracing capabilities for debugging LLM applications.
    3. Collaborative prompt management with low latency retrieval.
    4. Integrated playground for testing prompts and models.
    5. User feedback collection and evaluation functionalities.
    6. Metrics tracking for cost, latency, and quality.
    7. Supports integration with popular SDKs and libraries like Python, JS/TS, OpenAI, and Langchain.
    8. Self-hosting options available for enterprise use.
    9. Security features including SOC 2 Type II and ISO 27001 compliance.