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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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Agent Execution Flow

Agent Execution Flow

Summarize Workflow

  1. Input: User provides a medical text.

  2. Processing:

    • SummarizeTool generates a summary.

    • SummarizeValidatorAgent validates the summary.

  3. Output: Summary with a validation score and feedback.

Sanitize Data Workflow

  1. Input: Dataset containing PHI.

  2. Processing:

    • SanitizeDataTool removes PHI.

    • SanitizeDataValidatorAgent ensures no PHI remains.

  3. Output: De-identified dataset with validation feedback.

Write Article Workflow

  1. Input: Topic and optional outline.

  2. Processing:

    • WriteArticleTool drafts the article.

    • RefinerAgent improves language and coherence.

    • WriteArticleValidatorAgent validates the article.

  3. Output: Refined article with validation score.

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Last updated 3 months ago