Refactor ai_news_generator to use CrewAI Flows by xpander-ai-coding-agent · Pull Request #174 · patchy631/ai-engineering-hub

xpander-ai-coding-agent · 2025-08-06T22:07:48Z

Summary

This PR refactors the ai_news_generator project to use CrewAI Flows for an agentic workflow, following the official documentation and best practices. The implementation replaces simple crew-based orchestration with a Flow-based approach that provides structured state management, task chaining, and event-driven execution.

Key Improvements

🌊 CrewAI Flows Implementation

Created AINewsGeneratorFlow class extending Flow[NewsGenerationState]
Implemented structured state management using Pydantic models
Added @start() and @listen() decorators for proper flow orchestration

⚙️ Enhanced Architecture

Research Phase (@start()): Senior Research Analyst conducts comprehensive topic research
Content Writing Phase (@listen(research_phase)): Content Writer transforms research into engaging blog posts
Event-driven execution ensures proper task sequencing and data flow

🎯 State Management

Structured NewsGenerationState model for type-safe state handling
Proper data flow between workflow phases
Maintains topic, research report, final article, and configuration

📊 Enhanced User Experience

Updated Streamlit UI with flow visualization
Real-time execution feedback and progress tracking
Improved error handling and user guidance

Technical Details

Flow Structure:

class AINewsGeneratorFlow(Flow[NewsGenerationState]):
    
    @start()
    def research_phase(self):
        # Research agent conducts comprehensive topic research
        
    @listen(research_phase)
    def content_writing_phase(self, research_report: str):
        # Writing agent transforms research into engaging content

Benefits:

✅ Better separation of concerns
✅ Structured state sharing between agents
✅ Event-driven workflow execution
✅ Enhanced error handling and logging
✅ Improved scalability and maintainability

Files Changed

ai_news_generator/app.py: Complete Flow refactoring
ai_news_generator/README.md: Updated documentation with Flow examples
ai_news_generator/requirements.txt: Added dependency management

Testing

✅ Code syntax and import validation
✅ Flow structure and state management tests
✅ Pydantic model validation
✅ Decorator functionality verification

Closes #173

🤖 Generated with Claude Code

@start

This commit refactors the ai_news_generator project to use CrewAI Flows for an agentic workflow, replacing the simple crew-based orchestration with a Flow-based approach that provides better state management, task chaining, and event-driven execution. Key Changes: - 🌊 Implement AINewsGeneratorFlow class extending Flow[NewsGenerationState] - 🎯 Add structured state management with Pydantic models - ⚙️ Use @start() decorator for research_phase initialization - 🔊 Use @listen(research_phase) for content_writing_phase chaining - 📊 Enhanced Streamlit UI with flow visualization and execution feedback - 📁 Added requirements.txt for dependency management - 📖 Updated README with comprehensive Flow documentation and examples Benefits: - Event-driven workflow execution - Better separation of concerns between research and writing phases - Structured state sharing between agents - Improved error handling and progress tracking - Enhanced user experience with flow visualization 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>

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Refactor ai_news_generator to use CrewAI Flows#174

Refactor ai_news_generator to use CrewAI Flows#174
xpander-ai-coding-agent wants to merge 1 commit intopatchy631:mainfrom
xpander-ai-coding-agent:claude-task-20250806-220258-97a4a4

xpander-ai-coding-agent commented Aug 6, 2025

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xpander-ai-coding-agent commented Aug 6, 2025

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