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Open-source LLM tracing and evaluation

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Overview


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Phoenix is an open-source LLM agent that accelerates AI development with powerful insights.

Key Features:
  • Application Tracing for Total Visibility
  • Interactive Prompt Playground
  • Streamlined Evaluations and Annotations
  • Dataset Clustering & Visualization
  • Proudly Open Source
  • Works with all LLM tools

    Use Cases:
  • Collecting LLM app data
  • Experimenting with AI applications
  • Optimizing AI applications
  • Model testing and evaluation
  • Visualizing complex LLM decision-making
  • Identifying root causes of issues

    Benefits:
  • Flexible, Transparent, & Free from Lock-In
  • Provides total visibility into AI applications
  • Speeds up evaluations and annotations
  • Enables dataset clustering and visualization
  • Works with various LLM tools
  • Offers model observability and production insights
  • Capabilities

    • Analyzes AI model performance across various applications
    • Optimizes AI workflows for enhanced efficiency and reliability
    • Debugs complex AI processes, including API integration and data flow
    • Provides comprehensive AI application tracing capabilities
    • Automates routine data ingestion tasks to streamline operations
    • Monitors AI model behavior in real-time to identify anomalies
    • Enhances data quality through preprocessing and validation techniques
    • Integrates with existing data frameworks for seamless operations
    • Generates insights from AI output to assist in decision-making
    • Adapts AI models in response to changing data landscapes

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