Phase 2: Advanced Conversational AI Interface #20
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Major Features: - AI-powered conversational RFE creation using Anthropic Claude - Intelligent agent assistants for all 7 workflow roles - Sophisticated prompt management system with cost optimization - Role-specific AI guidance with context-aware suggestions - Enhanced UI with chat interface and AI integration Technical Implementation: - Hybrid prompt management (enum-based + workflow-aware templates) - Cost tracking with token optimization and response caching - Agent-specific AI assistants (Parker, Archie, Stella, Derek) - Comprehensive prompt templates for each workflow step - Streamlit secrets integration for API key management Files Added: - ai_models/: prompt_manager.py, cost_tracker.py - components/: chat_interface.py, ai_assistants.py - prompts/: agent-specific YAML templates for all workflow steps - .streamlit/secrets.toml.template for API configuration Files Enhanced: - app.py: Added AI Chat RFE page and conversational interface - README.md: Phase 2 documentation and setup instructions - requirements.txt: Added Anthropic Claude and supporting dependencies - parker_pm.py: Integrated AI assistant panel Tests: All 31 tests pass ✅ Note: Linting issues need cleanup in follow-up commit 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
- Removed unused imports from ai_models/prompt_manager.py - Removed unused imports from components/ai_assistants.py - Removed unused imports from components/chat_interface.py - Removed unused imports from components/workflow.py - Fixed unused variable in chat_interface.py exception handling - Fixed f-string missing placeholders in app.py and parker_pm.py - Minor line length fix in app.py text All 31 tests still pass ✅ Note: Some line length and type annotation issues remain for future cleanup 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Implement comprehensive conversational AI interface with Claude 4 integration, professional-grade linting compliance, and enhanced user experience. 🚀 Key Features: - AI-powered conversational RFE creation using Anthropic Claude - Agent-specific AI assistants for all 7 workflow roles - Sophisticated prompt management with cost optimization - Real-time API status and model information display - Enhanced navigation with persistent page state 🤖 AI Integration: - Claude 4 Sonnet model integration - Context-aware prompting system - Token usage tracking and cost management - Response caching for performance optimization - Structured data extraction from AI responses 🎯 User Experience: - Fixed homepage button navigation - Persistent page state across app reruns - Professional API provider/model information display - Comprehensive error handling and fallback mechanisms ⚡ Technical Excellence: - Complete linting compliance (Black, isort, flake8, mypy) - Proper type annotations throughout codebase - Professional code quality standards - Comprehensive test coverage maintained 📁 Architecture: - Hybrid prompt management (enum-based + workflow-aware) - Factory pattern for AI assistant creation - Cost tracking with intelligent optimization - YAML-based prompt templates for maintainability 🛠️ Files Modified: - Enhanced chat interface with visual feedback - Improved navigation system with state persistence - AI assistants for all agent roles - Cost tracking and optimization systems - Professional linting compliance across all files 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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sallyom
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Oct 15, 2025
Phase 2: Advanced Conversational AI Interface
sallyom
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Oct 31, 2025
…versational-ai Phase 2: Advanced Conversational AI Interface
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Summary
Implement comprehensive Phase 2 conversational AI interface with Claude 4 integration, complete with professional-grade linting compliance and enhanced user experience.
🚀 Key Features
🤖 AI Integration Highlights
🎯 User Experience Improvements
⚡ Technical Excellence
📁 Architecture Enhancements
🛠️ Files Modified
Core AI Components
ai_models/prompt_manager.py- Hybrid prompt management systemai_models/cost_tracker.py- Token usage tracking and optimizationcomponents/ai_assistants.py- Agent-specific AI helpers with factory patterncomponents/chat_interface.py- Enhanced conversational interface with status displayUser Interface
app.py- Fixed navigation with persistent page statepages/parker_pm.py- Enhanced PM dashboard with AI integrationcomponents/workflow.py- Visual workflow with proper formattingQuality & Testing
data/__init__.py- Added missing package initializationtests/test_*.py- Maintained comprehensive test coverage.streamlit/secrets.toml- API configuration templateTest Plan
🤖 Generated with Claude Code