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  • Introduction
  • Why Build Agents from Scratch?
    • Why Build Agents from Scratch?
  • Core Features
    • Core Features
  • System Architecture
    • Overview
    • Agents
      • Main Agents
      • Validator Agents
    • Code Structure
      • Directory Overview
  • Installation Instructions
    • Installation
    • Usage
  • Logs and Debugging
    • Purpose
    • Key Features
    • Example
  • Code Components Overview
    • AgentBase
    • Summarization Agents
    • Data Sanitization Agents
    • Research Article Agents
    • Refinement Agents
  • Use Cases and Applications
    • Use Cases
  • Agent Execution Flow
  • Advanced Configuration
  • Performance Optimization
  • Benchmarking and Metrics
  • AI Ethics and Considerations
  • Agent Tutorials
  • Deployment and Scaling
  • Roadmap
  • Case Studies
  • FAQ and Troubleshooting
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Benchmarking and Metrics

Performance Metrics

  • API Latency: Measure average response time for OpenAI calls.

  • Agent Execution Time: Log time taken by each agent to complete tasks.

Validation Accuracy

  • Track the percentage of tasks where validator agents rated outputs as excellent (4 or 5).

Error Rates

  • Monitor API error rates and common failure points.

Dashboard

  • Use Streamlit or Plotly to create a real-time performance dashboard.

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Last updated 3 months ago