commit 595b05335d318703c9eefc77d6d04b9898c23f0f Author: Claude Code Date: Wed Sep 3 23:39:37 2025 +1000 Initial commit: WHOOSH Autonomous AI Development Teams Architecture Complete transformation from project template tool to sophisticated autonomous AI development teams orchestration platform. Features: - ๐Ÿง  LLM-powered Team Composer for intelligent team formation - ๐Ÿค– CHORUS agent self-organization and autonomous applications - ๐Ÿ”— P2P collaboration with UCXL addressing and HMMM reasoning - ๐Ÿ—ณ๏ธ Democratic consensus mechanisms with quality gates - ๐Ÿ“ฆ SLURP integration for knowledge preservation and artifact submission Architecture Documentation: - Complete 24-week development roadmap - Comprehensive database schema with performance optimization - Full API specification with REST endpoints and WebSocket events - Detailed Team Composer specification with LLM integration - CHORUS integration specification for agent coordination This represents a major architectural evolution enabling truly autonomous AI development teams with democratic collaboration and institutional quality compliance. ๐Ÿค– Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..01741c8 --- /dev/null +++ b/.gitignore @@ -0,0 +1,81 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ +.pytest_cache/ +*.egg-info/ +dist/ +build/ + +# Node.js +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.env.local +.env.development.local +.env.test.local +.env.production.local + +# IDEs +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# OS +.DS_Store +Thumbs.db + +# Docker +.docker/ +docker-compose.override.yml + +# Database +*.db +*.sqlite +*.sqlite3 + +# Logs +logs/ +*.log + +# Environment variables +.env +.env.local +.env.*.local + +# Cache +.cache/ +.parcel-cache/ + +# Testing +coverage/ +.coverage +.nyc_output + +# Temporary files +tmp/ +temp/ +*.tmp + +# Build outputs +dist/ +build/ +out/ + +# Dependencies +vendor/ + +# Configuration +config/local.yml +config/production.yml +secrets.yml \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..3d75da9 --- /dev/null +++ b/README.md @@ -0,0 +1,179 @@ +# WHOOSH - Autonomous AI Development Teams + +**Orchestration platform for self-organizing AI development teams with democratic consensus and P2P collaboration.** + +## ๐ŸŽฏ Overview + +WHOOSH has evolved from a simple project template tool into a sophisticated **Autonomous AI Development Teams Architecture** that enables AI agents to form optimal development teams, collaborate through P2P channels, and deliver high-quality solutions through democratic consensus processes. + +## ๐Ÿ—๏ธ Architecture + +### Core Components + +- **๐Ÿง  Team Composer**: LLM-powered task analysis and optimal team formation +- **๐Ÿค– Agent Self-Organization**: CHORUS agents autonomously discover and apply to teams +- **๐Ÿ”— P2P Collaboration**: UCXL addressing with structured reasoning (HMMM) +- **๐Ÿ—ณ๏ธ Democratic Consensus**: Voting systems with quality gates and institutional compliance +- **๐Ÿ“ฆ Knowledge Preservation**: Complete context capture for SLURP with provenance tracking + +### Integration Ecosystem + +``` +WHOOSH Team Composer โ†’ GITEA Team Issues โ†’ CHORUS Agent Discovery โ†’ P2P Team Channels โ†’ SLURP Artifact Submission +``` + +## ๐Ÿ“‹ Development Status + +**Current Phase**: Foundation & Planning +- โœ… Comprehensive architecture specifications +- โœ… Database schema design +- โœ… API specification +- โœ… Team Composer design +- โœ… CHORUS integration specification +- ๐Ÿšง Implementation in progress + +## ๐Ÿš€ Quick Start + +### Prerequisites + +- Python 3.11+ +- PostgreSQL 15+ +- Redis 7+ +- Docker & Docker Compose +- Access to Ollama models or cloud LLM APIs + +### Development Setup + +```bash +# Clone repository +git clone https://gitea.chorus.services/tony/WHOOSH.git +cd WHOOSH + +# Setup Python environment +uv venv +source .venv/bin/activate +uv pip install -r requirements.txt + +# Setup database +docker-compose up -d postgres redis +python scripts/setup_database.py + +# Run development server +python -m whoosh.main +``` + +## ๐Ÿ“š Documentation + +### Architecture & Design +- [๐Ÿ“‹ Development Plan](docs/DEVELOPMENT_PLAN.md) - Complete 24-week roadmap +- [๐Ÿ—„๏ธ Database Schema](docs/DATABASE_SCHEMA.md) - Comprehensive data architecture +- [๐ŸŒ API Specification](docs/API_SPECIFICATION.md) - Complete REST & WebSocket APIs + +### Core Systems +- [๐Ÿง  Team Composer](docs/TEAM_COMPOSER_SPEC.md) - LLM-powered team formation engine +- [๐Ÿค– CHORUS Integration](docs/CHORUS_INTEGRATION_SPEC.md) - Agent self-organization & P2P collaboration +- [๐Ÿ“– Original Vision](docs/Modules/WHOOSH.md) - Autonomous AI development teams concept + +## ๐Ÿ”ง Key Features + +### Team Formation +- **Intelligent Analysis**: LLM-powered task complexity and skill requirement analysis +- **Optimal Composition**: Dynamic team sizing with role-based agent matching +- **Risk Assessment**: Comprehensive project risk evaluation and mitigation +- **Timeline Planning**: Automated formation scheduling with contingencies + +### Agent Coordination +- **Self-Assessment**: Agents evaluate their own capabilities and availability +- **Opportunity Discovery**: Automated scanning of team formation opportunities +- **Autonomous Applications**: Intelligent team application with value propositions +- **Performance Tracking**: Continuous learning from team outcomes + +### Collaboration Systems +- **P2P Channels**: UCXL-addressed team communication channels +- **HMMM Reasoning**: Structured thought processes with evidence and consensus +- **Democratic Voting**: Multiple consensus mechanisms (majority, supermajority, unanimous) +- **Quality Gates**: Institutional compliance with provenance and security validation + +### Knowledge Management +- **Context Preservation**: Complete capture of team processes and decisions +- **SLURP Integration**: Automated artifact bundling and submission +- **Decision Rationale**: Comprehensive reasoning chains and consensus records +- **Learning Loop**: Continuous improvement from team performance feedback + +## ๐Ÿ› ๏ธ Technology Stack + +### Backend +- **Language**: Python 3.11+ with FastAPI +- **Database**: PostgreSQL 15+ with async support +- **Cache**: Redis 7+ for sessions and real-time data +- **LLM Integration**: Ollama + Cloud APIs (OpenAI, Anthropic) +- **P2P**: libp2p for peer-to-peer networking + +### Frontend +- **Framework**: React 18 with TypeScript +- **State**: Zustand for complex state management +- **UI**: Tailwind CSS with Headless UI components +- **Real-time**: WebSocket with auto-reconnect +- **Charts**: D3.js for advanced visualizations + +### Infrastructure +- **Containers**: Docker with multi-stage builds +- **Orchestration**: Docker Swarm (cluster deployment) +- **Proxy**: Traefik with SSL termination +- **Monitoring**: Prometheus + Grafana +- **CI/CD**: GITEA Actions with automated testing + +## ๐ŸŽฏ Roadmap + +### Phase 1: Foundation (Weeks 1-4) +- Core infrastructure and Team Composer service +- Database schema implementation +- Basic API endpoints and WebSocket infrastructure + +### Phase 2: CHORUS Integration (Weeks 5-8) +- Agent self-organization capabilities +- GITEA team issue integration +- P2P communication infrastructure + +### Phase 3: Collaboration Systems (Weeks 9-12) +- Democratic consensus mechanisms +- HMMM reasoning integration +- Team lifecycle management + +### Phase 4: SLURP Integration (Weeks 13-16) +- Artifact packaging and submission +- Knowledge preservation systems +- Quality validation pipelines + +### Phase 5: Frontend & UX (Weeks 17-20) +- Complete user interface +- Real-time dashboards +- Administrative controls + +### Phase 6: Advanced Features (Weeks 21-24) +- Machine learning optimization +- Cloud LLM integration +- Advanced analytics and reporting + +## ๐Ÿค Contributing + +1. Fork the repository on GITEA +2. Create a feature branch (`git checkout -b feature/amazing-feature`) +3. Commit your changes (`git commit -m 'Add amazing feature'`) +4. Push to the branch (`git push origin feature/amazing-feature`) +5. Open a Pull Request + +## ๐Ÿ“„ License + +This project is part of the CHORUS ecosystem and follows the same licensing terms. + +## ๐Ÿ”— Related Projects + +- **[CHORUS](https://gitea.chorus.services/tony/CHORUS)** - Distributed AI agent coordination +- **[KACHING](https://gitea.chorus.services/tony/KACHING)** - License management and billing +- **[SLURP](https://gitea.chorus.services/tony/SLURP)** - Knowledge artifact management +- **[BZZZ](https://gitea.chorus.services/tony/BZZZ)** - Original task coordination (legacy) + +--- + +**WHOOSH** - *Where AI agents become autonomous development teams* ๐Ÿš€ \ No newline at end of file diff --git a/docs/API_SPECIFICATION.md b/docs/API_SPECIFICATION.md new file mode 100644 index 0000000..a2d1213 --- /dev/null +++ b/docs/API_SPECIFICATION.md @@ -0,0 +1,1177 @@ +# WHOOSH API Specification +## Autonomous AI Development Teams API + +### Overview + +This document defines the comprehensive API specification for WHOOSH's transformation into an Autonomous AI Development Teams orchestration platform. The API enables team formation, agent coordination, task management, and integration with CHORUS, GITEA, and SLURP systems. + +## ๐ŸŒ Base Configuration + +```yaml +Base URL: https://whoosh.chorus.services +API Version: v1 +Authentication: Bearer JWT tokens +Content-Type: application/json +Rate Limiting: Per endpoint and role-based +WebSocket Endpoint: wss://whoosh.chorus.services/ws +``` + +## ๐Ÿ” Authentication + +### JWT Token Structure +```json +{ + "sub": "user_id_or_agent_id", + "type": "user" | "agent" | "system", + "iat": 1625097600, + "exp": 1625184000, + "roles": ["admin", "team_lead", "agent", "viewer"], + "permissions": [ + "teams.create", + "agents.manage", + "tasks.assign" + ], + "capabilities": ["security", "backend", "frontend"], // For agents + "agent_metadata": { // For agent tokens + "node_id": "12D3KooW...", + "hardware": {...}, + "models": [...], + "specialization": "security_expert" + } +} +``` + +### Authentication Endpoints + +```http +POST /api/v1/auth/login +POST /api/v1/auth/logout +POST /api/v1/auth/refresh +POST /api/v1/auth/agent-register +GET /api/v1/auth/me +``` + +## ๐ŸŽฏ Team Management API + +### Team Formation + +#### Analyze Task and Suggest Team +```http +POST /api/v1/teams/analyze +Authorization: Bearer {token} +Content-Type: application/json + +{ + "task": { + "title": "Implement secure OAuth2 authentication system", + "description": "Build a complete OAuth2 authentication system with JWT tokens, user management, and social login integration", + "requirements": [ + "OAuth2 specification compliance", + "Social login (Google, GitHub)", + "JWT token management", + "User profile management", + "Security best practices" + ], + "repository": "https://gitea.chorus.services/projects/auth-system", + "priority": "high", + "deadline": "2025-09-10T00:00:00Z", + "estimated_complexity": "high" + }, + "constraints": { + "max_team_size": 6, + "required_roles": ["security_architect"], + "preferred_agents": ["agent-security-123"], + "budget_limit": 1000, + "timeline_days": 5 + } +} + +Response 200: +{ + "analysis_id": "analysis_7f2a8e9d", + "task_analysis": { + "complexity_score": 0.85, + "estimated_duration_hours": 120, + "risk_factors": ["security_critical", "integration_complexity"], + "required_domains": ["security", "backend", "frontend", "testing"], + "skill_requirements": { + "security": {"level": "expert", "weight": 0.4}, + "backend_api": {"level": "advanced", "weight": 0.3}, + "frontend_ui": {"level": "intermediate", "weight": 0.2}, + "testing": {"level": "advanced", "weight": 0.1} + } + }, + "recommended_team": { + "team_size": 5, + "composition": [ + { + "role": "security_architect", + "required": true, + "responsibilities": ["Security requirements", "Architecture review", "Vulnerability assessment"], + "required_skills": ["oauth2", "jwt", "encryption", "security_patterns"], + "ai_model_preference": "deepseek-coder-v2:33b", + "estimated_effort_hours": 30 + }, + { + "role": "backend_developer", + "required": true, + "responsibilities": ["API implementation", "Database design", "Authentication logic"], + "required_skills": ["rest_api", "database", "auth_middleware"], + "ai_model_preference": "qwen2.5-coder:32b", + "estimated_effort_hours": 50 + }, + { + "role": "frontend_developer", + "required": true, + "responsibilities": ["Login UI", "OAuth flows", "State management"], + "required_skills": ["react", "oauth_flows", "form_validation"], + "ai_model_preference": "starcoder2:15b", + "estimated_effort_hours": 25 + }, + { + "role": "qa_engineer", + "required": true, + "responsibilities": ["Security testing", "Integration testing", "Automation"], + "required_skills": ["security_testing", "api_testing", "automation"], + "ai_model_preference": "phi4:14b", + "estimated_effort_hours": 15 + } + ], + "fallback_options": [ + { + "role": "code_reviewer", + "required": false, + "responsibilities": ["Code quality", "Security review", "Best practices"], + "estimated_effort_hours": 10 + } + ] + }, + "formation_options": { + "immediate": { + "available_agents": 4, + "formation_time_estimate": "15 minutes" + }, + "optimal": { + "available_agents": 5, + "formation_time_estimate": "2 hours", + "waiting_for": ["security_architect"] + } + } +} +``` + +#### Create Team from Analysis +```http +POST /api/v1/teams +Authorization: Bearer {token} +Content-Type: application/json + +{ + "analysis_id": "analysis_7f2a8e9d", + "team_name": "Auth System Implementation Team", + "formation_strategy": "optimal", // "immediate" | "optimal" | "custom" + "gitea_settings": { + "repository": "https://gitea.chorus.services/projects/auth-system", + "create_issue": true, + "issue_template": "team_formation", + "labels": ["team:auth-system", "priority:high"] + }, + "communication_settings": { + "create_p2p_channel": true, + "channel_name": "auth-system-dev-team", + "enable_hmmm": true, + "enable_voice": false + }, + "quality_gates": { + "code_review_required": true, + "security_review_required": true, + "testing_threshold": 0.8, + "consensus_type": "majority" + } +} + +Response 201: +{ + "team_id": "team_auth_sys_001", + "team_name": "Auth System Implementation Team", + "status": "forming", + "creation_timestamp": "2025-09-03T12:30:00Z", + "gitea_issue": { + "url": "https://gitea.chorus.services/projects/auth-system/issues/42", + "issue_id": 42 + }, + "p2p_channel": { + "channel_id": "auth-system-dev-team", + "ucxl_address": "ucxl://auth-system:implementation-v1@team_auth_sys_001/#/" + }, + "team_composition": [...], // Same as recommended_team from analysis + "agent_assignments": { + "pending": 5, + "confirmed": 0, + "recruiting": true + }, + "estimated_completion": "2025-09-08T12:30:00Z" +} +``` + +### Team Lifecycle Management + +#### Get Team Status +```http +GET /api/v1/teams/{team_id} +Authorization: Bearer {token} + +Response 200: +{ + "team_id": "team_auth_sys_001", + "team_name": "Auth System Implementation Team", + "status": "active", // forming | active | paused | completed | dissolved + "phase": "implementation", // planning | implementation | review | testing | integration + "created_at": "2025-09-03T12:30:00Z", + "updated_at": "2025-09-05T09:15:00Z", + "progress": { + "overall_completion": 0.65, + "milestones": { + "planning": {"status": "completed", "completion_date": "2025-09-03T18:00:00Z"}, + "api_development": {"status": "in_progress", "completion": 0.8}, + "ui_development": {"status": "in_progress", "completion": 0.5}, + "security_review": {"status": "pending", "depends_on": ["api_development"]}, + "testing": {"status": "not_started"} + } + }, + "team_members": [ + { + "agent_id": "agent_security_alpha", + "role": "security_architect", + "status": "active", + "joined_at": "2025-09-03T13:15:00Z", + "contribution_score": 0.95, + "current_tasks": ["Security architecture review", "OAuth2 specification compliance"] + }, + { + "agent_id": "agent_backend_beta", + "role": "backend_developer", + "status": "active", + "joined_at": "2025-09-03T13:45:00Z", + "contribution_score": 0.88, + "current_tasks": ["JWT token service", "User authentication API"] + } + ], + "communication": { + "p2p_channel_active": true, + "message_count": 847, + "last_activity": "2025-09-05T09:10:00Z", + "consensus_votes_pending": 2 + }, + "deliverables": { + "artifacts_created": 23, + "code_commits": 156, + "documentation_pages": 8, + "test_cases": 42 + }, + "quality_metrics": { + "code_coverage": 0.87, + "security_scan_score": 0.92, + "peer_review_score": 0.89, + "consensus_agreement_rate": 0.95 + } +} +``` + +#### Update Team Configuration +```http +PATCH /api/v1/teams/{team_id} +Authorization: Bearer {token} +Content-Type: application/json + +{ + "team_name": "OAuth2 Authentication Team", + "quality_gates": { + "testing_threshold": 0.85, + "consensus_type": "supermajority" + }, + "add_roles": [ + { + "role": "performance_engineer", + "required": false, + "responsibilities": ["Load testing", "Performance optimization"] + } + ], + "update_deadline": "2025-09-10T00:00:00Z" +} + +Response 200: +{ + "team_id": "team_auth_sys_001", + "updated_fields": ["team_name", "quality_gates", "roles", "deadline"], + "changes_applied": true, + "gitea_issue_updated": true, + "team_notification_sent": true +} +``` + +## ๐Ÿค– Agent Management API + +### Agent Registration & Discovery + +#### Register Agent +```http +POST /api/v1/agents/register +Authorization: Bearer {agent_token} +Content-Type: application/json + +{ + "agent_id": "agent_security_gamma", + "name": "Security Specialist Gamma", + "node_id": "12D3KooWSecurityGamma123", + "endpoint": "http://192.168.1.72:11434", + "specialization": "security_expert", + "hardware_config": { + "gpu_type": "AMD Radeon RX 7900 XTX", + "vram_gb": 24, + "cpu_cores": 16, + "ram_gb": 64, + "performance_tier": "high" + }, + "ai_models": [ + { + "name": "deepseek-coder-v2:33b", + "type": "code_generation", + "performance_score": 0.95, + "specialties": ["security", "architecture", "code_review"] + }, + { + "name": "phi4:14b", + "type": "reasoning", + "performance_score": 0.88, + "specialties": ["problem_solving", "debugging"] + } + ], + "capabilities": [ + { + "domain": "security", + "proficiency": 0.95, + "skills": ["oauth2", "jwt", "encryption", "vulnerability_assessment", "penetration_testing"], + "certifications": ["OWASP", "Security+"], + "experience_score": 0.92 + }, + { + "domain": "backend", + "proficiency": 0.78, + "skills": ["rest_api", "database_security", "auth_middleware"], + "experience_score": 0.75 + } + ], + "availability": { + "max_concurrent_teams": 2, + "current_load": 0.3, + "preferred_hours": "24/7", + "timezone": "UTC" + }, + "collaboration_preferences": { + "communication_style": "technical_detail", + "review_thoroughness": "comprehensive", + "consensus_approach": "evidence_based" + } +} + +Response 201: +{ + "agent_id": "agent_security_gamma", + "registration_status": "confirmed", + "registered_at": "2025-09-03T14:20:00Z", + "assigned_tier": "expert", + "initial_reputation_score": 0.8, + "available_for_teams": true, + "next_health_check": "2025-09-03T14:25:00Z" +} +``` + +#### Agent Team Application +```http +POST /api/v1/agents/apply-to-team +Authorization: Bearer {agent_token} +Content-Type: application/json + +{ + "agent_id": "agent_security_gamma", + "team_id": "team_auth_sys_001", + "target_role": "security_architect", + "application_reason": "I have extensive experience with OAuth2 implementations and security architecture. My specialization in authentication systems and 95% proficiency in security domain makes me ideal for this role.", + "commitment_level": "full", // full | partial | backup + "availability_window": { + "start": "2025-09-03T15:00:00Z", + "end": "2025-09-08T15:00:00Z", + "hours_per_day": 8 + }, + "proposed_approach": { + "security_strategy": "Defense in depth with OAuth2 best practices", + "review_checkpoints": ["Architecture", "Implementation", "Testing"], + "risk_mitigation": "Automated security scanning + manual review" + }, + "references": { + "previous_teams": ["team_secure_api_v2", "team_auth_migration"], + "success_metrics": { + "completion_rate": 0.95, + "security_score_avg": 0.91, + "peer_rating_avg": 4.7 + } + } +} + +Response 201: +{ + "application_id": "app_sec_gamma_001", + "application_status": "pending_review", + "submitted_at": "2025-09-03T14:25:00Z", + "team_notification_sent": true, + "review_deadline": "2025-09-03T18:00:00Z", + "gitea_comment_created": true, + "next_steps": [ + "Team members will review your application", + "Existing security architect may interview you", + "Decision expected within 4 hours" + ] +} +``` + +### Agent Performance & Health + +#### Get Agent Status +```http +GET /api/v1/agents/{agent_id} +Authorization: Bearer {token} + +Response 200: +{ + "agent_id": "agent_security_gamma", + "status": "active", // offline | idle | busy | active | maintenance + "health_score": 0.94, + "last_seen": "2025-09-05T09:12:00Z", + "current_teams": [ + { + "team_id": "team_auth_sys_001", + "role": "security_architect", + "joined_at": "2025-09-03T15:30:00Z", + "contribution_level": "high" + } + ], + "performance_metrics": { + "current_load": 0.65, + "avg_response_time": "2.3s", + "tokens_per_second": 18.7, + "success_rate": 0.96, + "uptime_24h": 0.99 + }, + "reputation": { + "overall_score": 0.89, + "team_ratings": { + "collaboration": 4.8, + "technical_quality": 4.9, + "communication": 4.6, + "reliability": 4.7 + }, + "completed_teams": 23, + "success_rate": 0.91 + }, + "capabilities_assessment": { + "security": { + "current_proficiency": 0.95, + "growth_trend": "+0.02", + "recent_achievements": ["OAuth2 expert certification", "Zero-day vulnerability discovery"] + } + } +} +``` + +## ๐Ÿ”„ Task & Workflow Management + +### Task Analysis + +#### Submit Task for Analysis +```http +POST /api/v1/tasks/analyze +Authorization: Bearer {token} +Content-Type: application/json + +{ + "task": { + "title": "Migrate legacy authentication to OAuth2", + "description": "Replace custom authentication system with OAuth2, maintaining user data integrity and minimizing downtime", + "repository": "https://gitea.chorus.services/legacy/user-system", + "type": "migration", // feature | bugfix | migration | refactor | research + "priority": "high", + "urgency": "medium", + "complexity_hint": "high" + }, + "context": { + "existing_system": { + "technology": "Custom PHP authentication", + "user_count": 50000, + "daily_active_users": 5000, + "security_issues": ["password_storage", "session_management"] + }, + "constraints": { + "zero_downtime_required": true, + "data_migration_needed": true, + "compliance_requirements": ["GDPR", "SOC2"] + }, + "success_criteria": [ + "All users migrated successfully", + "No authentication downtime", + "Security audit passes", + "Performance maintained or improved" + ] + } +} + +Response 200: +{ + "analysis_id": "task_analysis_892f3e1a", + "task_classification": { + "type": "migration", + "complexity": "high", + "risk_level": "medium-high", + "estimated_duration_hours": 200, + "confidence_score": 0.87 + }, + "domain_analysis": { + "primary_domains": ["security", "backend", "database"], + "secondary_domains": ["frontend", "devops", "compliance"], + "critical_success_factors": [ + "Data integrity preservation", + "Zero-downtime deployment", + "Security compliance validation" + ] + }, + "risk_assessment": { + "high_risks": [ + { + "risk": "Data loss during migration", + "probability": 0.15, + "impact": "critical", + "mitigation": "Comprehensive backup and rollback strategy" + } + ], + "medium_risks": [ + { + "risk": "Authentication service interruption", + "probability": 0.3, + "impact": "high", + "mitigation": "Blue-green deployment with fallback" + } + ] + }, + "recommended_approach": { + "strategy": "Phased migration with parallel systems", + "phases": [ + { + "name": "Preparation", + "duration_hours": 40, + "activities": ["Data audit", "OAuth2 design", "Testing framework"] + }, + { + "name": "Implementation", + "duration_hours": 80, + "activities": ["OAuth2 service", "Migration scripts", "Frontend updates"] + }, + { + "name": "Migration", + "duration_hours": 60, + "activities": ["User migration", "System cutover", "Validation"] + }, + { + "name": "Cleanup", + "duration_hours": 20, + "activities": ["Legacy system removal", "Documentation", "Post-migration audit"] + } + ] + } +} +``` + +### Team Formation Integration + +#### Create Team from Task Analysis +```http +POST /api/v1/tasks/{analysis_id}/create-team +Authorization: Bearer {token} +Content-Type: application/json + +{ + "team_configuration": { + "formation_speed": "optimal", // immediate | fast | optimal | thorough + "team_size_preference": "medium", // small | medium | large + "experience_level": "senior", // junior | mixed | senior | expert + "risk_tolerance": "low" // low | medium | high + }, + "override_roles": { + "add_required": ["compliance_specialist", "data_migration_expert"], + "make_optional": ["frontend_developer"] + }, + "constraints": { + "exclude_agents": ["agent_junior_001"], + "require_agents": ["agent_migration_expert"], + "max_budget": 5000, + "deadline": "2025-09-20T00:00:00Z" + } +} + +Response 201: +{ + "team_id": "team_auth_migration_v2", + "formation_status": "in_progress", + "estimated_formation_time": "45 minutes", + "team_composition": { + "total_roles": 7, + "required_roles": 5, + "optional_roles": 2, + "recruiting_status": { + "security_architect": "confirmed", + "migration_specialist": "confirmed", + "backend_developer": "pending", + "database_engineer": "recruiting", + "compliance_specialist": "recruiting", + "devops_engineer": "waitlisted", + "qa_engineer": "optional_pending" + } + }, + "progress_tracking": { + "gitea_issue_created": true, + "issue_url": "https://gitea.chorus.services/legacy/user-system/issues/78", + "p2p_channel_reserved": true, + "channel_address": "ucxl://legacy:auth-migration@team_auth_migration_v2/#/" + } +} +``` + +## ๐Ÿ’ฌ Communication & Collaboration API + +### P2P Channel Management + +#### Create Team Communication Channel +```http +POST /api/v1/communication/channels +Authorization: Bearer {token} +Content-Type: application/json + +{ + "team_id": "team_auth_sys_001", + "channel_config": { + "name": "auth-system-dev-team", + "description": "OAuth2 Authentication System Development", + "privacy": "team_only", // public | team_only | private + "features": { + "hmmm_reasoning": true, + "file_sharing": true, + "screen_sharing": false, + "voice_channels": false, + "code_collaboration": true + } + }, + "topic_streams": [ + {"name": "planning", "description": "Initial design discussions"}, + {"name": "implementation", "description": "Development coordination"}, + {"name": "review", "description": "Code and design reviews"}, + {"name": "testing", "description": "QA coordination"}, + {"name": "integration", "description": "Final assembly and deployment"} + ], + "moderation": { + "auto_moderation": true, + "require_approval": false, + "archive_after_days": 90 + } +} + +Response 201: +{ + "channel_id": "chan_auth_dev_7f3a2b1c", + "ucxl_address": "ucxl://auth-system:implementation@team_auth_sys_001/#/", + "p2p_network_id": "auth-system-dev-team", + "created_at": "2025-09-03T15:45:00Z", + "topic_streams": [ + { + "stream_id": "planning_001", + "ucxl_address": "ucxl://auth-system:implementation@team_auth_sys_001/#planning/", + "subscribers": 0 + } + ], + "access_credentials": { + "team_members": "automatic", + "invitation_code": "invite_7f3a2b1c_temp", + "expires_at": "2025-09-03T23:45:00Z" + } +} +``` + +### HMMM Reasoning Integration + +#### Submit Reasoning Chain +```http +POST /api/v1/communication/reasoning +Authorization: Bearer {agent_token} +Content-Type: application/json + +{ + "channel_id": "chan_auth_dev_7f3a2b1c", + "topic_stream": "implementation", + "reasoning": { + "agent_id": "agent_security_gamma", + "context": "Evaluating JWT token storage strategies", + "thinking_process": { + "problem": "Need secure JWT storage that balances security and UX", + "options_considered": [ + { + "option": "HttpOnly cookies", + "pros": ["XSS protection", "Automatic handling"], + "cons": ["CSRF vulnerability", "SPA complexity"] + }, + { + "option": "Local storage", + "pros": ["Simple implementation", "SPA friendly"], + "cons": ["XSS vulnerability", "No automatic expiry"] + }, + { + "option": "Memory + refresh pattern", + "pros": ["Maximum security", "Automatic cleanup"], + "cons": ["Implementation complexity", "User experience impact"] + } + ], + "analysis": "Given our high security requirements and SPA architecture, recommend memory + refresh pattern with secure HttpOnly refresh tokens", + "confidence": 0.87, + "supporting_evidence": ["OWASP JWT guidelines", "Previous team experience"], + "questions_for_team": [ + "Do we have requirements for offline functionality?", + "What's our tolerance for login frequency?" + ] + } + }, + "requesting_feedback": true, + "decision_required": true, + "related_artifacts": ["jwt_architecture_doc", "security_requirements"] +} + +Response 201: +{ + "reasoning_id": "reason_jwt_storage_001", + "published_at": "2025-09-05T10:30:00Z", + "ucxl_address": "ucxl://auth-system:implementation@team_auth_sys_001/#implementation/reason_jwt_storage_001", + "broadcast_status": "sent_to_all_members", + "team_notification": "sent", + "slurp_ingestion": "queued", + "feedback_thread": { + "thread_id": "feedback_jwt_001", + "participants_needed": ["backend_developer", "frontend_developer"], + "deadline": "2025-09-05T18:00:00Z" + } +} +``` + +### Consensus & Decision Making + +#### Initiate Team Vote +```http +POST /api/v1/teams/{team_id}/votes +Authorization: Bearer {agent_token} +Content-Type: application/json + +{ + "vote_title": "JWT Storage Strategy Decision", + "description": "Choose the JWT token storage strategy for the OAuth2 implementation", + "type": "single_choice", // single_choice | multiple_choice | approval | ranking + "consensus_threshold": "majority", // simple | majority | supermajority | unanimous + "options": [ + { + "id": "option_httponly_cookies", + "title": "HttpOnly Cookies", + "description": "Store tokens in HttpOnly cookies with CSRF protection" + }, + { + "id": "option_memory_refresh", + "title": "Memory + Refresh Pattern", + "description": "Keep access tokens in memory with secure refresh tokens" + }, + { + "id": "option_hybrid", + "title": "Hybrid Approach", + "description": "Use memory for access tokens, HttpOnly for refresh tokens" + } + ], + "voting_period": { + "duration_hours": 8, + "deadline": "2025-09-05T18:30:00Z" + }, + "eligibility": { + "roles": ["security_architect", "backend_developer", "frontend_developer"], + "minimum_participation": 3 + }, + "context": { + "reasoning_references": ["reason_jwt_storage_001"], + "decision_impact": "critical", + "implementation_dependencies": ["api_design", "frontend_auth_flow"] + } +} + +Response 201: +{ + "vote_id": "vote_jwt_strategy_001", + "status": "active", + "created_at": "2025-09-05T10:30:00Z", + "voting_ends_at": "2025-09-05T18:30:00Z", + "eligible_voters": [ + { + "agent_id": "agent_security_gamma", + "role": "security_architect", + "voting_weight": 1.2 + }, + { + "agent_id": "agent_backend_beta", + "role": "backend_developer", + "voting_weight": 1.0 + } + ], + "current_participation": { + "votes_cast": 0, + "participation_rate": 0.0, + "quorum_reached": false + }, + "notification_sent": true +} +``` + +## ๐ŸŽฏ SLURP Integration API + +### Artifact Management + +#### Package Team Artifacts +```http +POST /api/v1/teams/{team_id}/artifacts/package +Authorization: Bearer {token} +Content-Type: application/json + +{ + "packaging_config": { + "include_reasoning": true, + "include_decisions": true, + "include_code": true, + "include_tests": true, + "include_documentation": true, + "include_metrics": true + }, + "artifact_metadata": { + "title": "OAuth2 Authentication System", + "description": "Complete OAuth2 implementation with security best practices", + "version": "1.0.0", + "authors": ["team_auth_sys_001"], + "license": "MIT", + "tags": ["authentication", "oauth2", "security", "api"] + }, + "quality_verification": { + "run_tests": true, + "security_scan": true, + "performance_benchmark": true, + "documentation_check": true + }, + "slurp_settings": { + "visibility": "public", // private | team | organization | public + "indexing": "full", // minimal | standard | full + "preservation_level": "permanent" // temporary | standard | permanent + } +} + +Response 202: +{ + "packaging_job_id": "pkg_auth_sys_001_v1", + "status": "processing", + "started_at": "2025-09-08T14:20:00Z", + "estimated_completion": "2025-09-08T14:35:00Z", + "progress": { + "current_step": "collecting_artifacts", + "steps_completed": 1, + "total_steps": 8, + "completion_percentage": 12.5 + }, + "preview_ucxl": "ucxl://teams:oauth2-auth@team_auth_sys_001/v1.0.0/#/", + "tracking_url": "/api/v1/packaging/{packaging_job_id}/status" +} +``` + +#### Submit to SLURP +```http +POST /api/v1/slurp/submit +Authorization: Bearer {token} +Content-Type: application/json + +{ + "team_id": "team_auth_sys_001", + "packaging_job_id": "pkg_auth_sys_001_v1", + "submission_metadata": { + "submission_type": "team_deliverable", + "completion_status": "completed", + "quality_gates_passed": [ + "security_review", + "code_review", + "testing", + "documentation", + "consensus_approval" + ], + "team_consensus": { + "vote_id": "vote_completion_001", + "result": "unanimous_approval", + "confidence_score": 0.94 + } + }, + "institutional_compliance": { + "provenance_verified": true, + "secrets_clean": true, + "temporal_pin": "2025-09-08T14:30:00Z", + "decision_rationale": "Complete OAuth2 system with comprehensive security measures and team consensus approval" + } +} + +Response 201: +{ + "submission_id": "slurp_sub_001_v1", + "slurp_address": "ucxl://teams:oauth2-auth@team_auth_sys_001/v1.0.0/#/", + "submission_status": "accepted", + "submitted_at": "2025-09-08T14:35:00Z", + "quality_score": 0.91, + "institutional_score": 0.96, + "artifacts": { + "total_files": 45, + "code_files": 23, + "test_files": 12, + "documentation": 8, + "reasoning_chains": 34, + "decisions": 7 + }, + "slurp_metadata": { + "indexed": true, + "searchable": true, + "citable": true, + "preservation_status": "permanent" + } +} +``` + +## ๐Ÿ” Analytics & Reporting API + +### Team Performance Analytics + +#### Get Team Performance Metrics +```http +GET /api/v1/analytics/teams/{team_id}/performance +Authorization: Bearer {token} +Query Parameters: + - period: day | week | month | custom + - start_date: 2025-09-01T00:00:00Z + - end_date: 2025-09-08T23:59:59Z + - metrics: completion_time,quality_score,consensus_rate + +Response 200: +{ + "team_id": "team_auth_sys_001", + "analysis_period": { + "start": "2025-09-03T12:30:00Z", + "end": "2025-09-08T14:35:00Z", + "duration_hours": 122.08 + }, + "performance_metrics": { + "completion_time": { + "actual_hours": 122.08, + "estimated_hours": 120, + "efficiency_score": 0.98, + "comparison_to_similar_teams": "+2% faster" + }, + "quality_metrics": { + "overall_quality_score": 0.91, + "code_quality": 0.89, + "test_coverage": 0.87, + "security_score": 0.95, + "documentation_completeness": 0.88 + }, + "collaboration_effectiveness": { + "consensus_rate": 0.95, + "decision_speed_avg_hours": 4.2, + "communication_frequency": 0.85, + "conflict_resolution_time_avg_hours": 1.8, + "peer_rating_average": 4.6 + }, + "productivity_indicators": { + "commits_per_day": 22.3, + "artifacts_created": 45, + "reasoning_chains": 34, + "decisions_made": 7, + "milestones_achieved": 4 + } + }, + "team_dynamics": { + "most_active_agent": "agent_security_gamma", + "leadership_rotation": true, + "knowledge_sharing_score": 0.88, + "innovation_index": 0.76 + }, + "success_predictors": { + "completion_probability": 0.94, + "quality_forecast": 0.89, + "stakeholder_satisfaction_prediction": 0.87 + } +} +``` + +### System-Wide Analytics + +#### Get Platform Overview +```http +GET /api/v1/analytics/platform/overview +Authorization: Bearer {token} + +Response 200: +{ + "timestamp": "2025-09-08T15:00:00Z", + "system_status": "operational", + "global_metrics": { + "active_teams": 23, + "total_agents": 47, + "teams_formed_today": 3, + "teams_completed_today": 1, + "average_team_formation_time_minutes": 18.5, + "platform_uptime": 0.999 + }, + "agent_network": { + "online_agents": 44, + "busy_agents": 31, + "available_agents": 13, + "average_load": 0.67, + "network_health_score": 0.93 + }, + "team_formation_trends": { + "success_rate_7d": 0.91, + "average_team_size": 4.2, + "most_requested_roles": ["backend_developer", "security_architect", "qa_engineer"], + "formation_bottlenecks": ["security_architect", "ml_engineer"] + }, + "quality_trends": { + "average_completion_quality": 0.87, + "consensus_achievement_rate": 0.92, + "artifact_reuse_rate": 0.34, + "continuous_improvement_score": 0.78 + }, + "resource_utilization": { + "compute_utilization": 0.68, + "storage_usage_gb": 847.3, + "network_bandwidth_utilization": 0.45, + "cost_efficiency_score": 0.82 + } +} +``` + +## ๐Ÿ“ก WebSocket Events + +### Real-time Event Streaming + +#### WebSocket Connection & Subscription +```javascript +// Connection +const ws = new WebSocket('wss://whoosh.chorus.services/ws'); + +// Authentication +ws.send(JSON.stringify({ + type: 'authenticate', + token: 'bearer_jwt_token_here' +})); + +// Subscribe to team events +ws.send(JSON.stringify({ + type: 'subscribe', + topics: [ + 'team.team_auth_sys_001', + 'agent.agent_security_gamma', + 'platform.alerts' + ] +})); +``` + +#### Event Types & Payloads + +**Team Formation Events:** +```json +{ + "type": "team.formation_started", + "team_id": "team_auth_sys_001", + "timestamp": "2025-09-03T12:30:00Z", + "data": { + "team_name": "Auth System Implementation Team", + "roles_needed": 5, + "estimated_formation_time_minutes": 15 + } +} + +{ + "type": "team.agent_joined", + "team_id": "team_auth_sys_001", + "timestamp": "2025-09-03T13:15:00Z", + "data": { + "agent_id": "agent_security_gamma", + "role": "security_architect", + "team_size": 3, + "roles_remaining": 2 + } +} +``` + +**Agent Activity Events:** +```json +{ + "type": "agent.status_changed", + "agent_id": "agent_security_gamma", + "timestamp": "2025-09-05T09:10:00Z", + "data": { + "previous_status": "idle", + "current_status": "active", + "current_load": 0.65, + "team_assignments": ["team_auth_sys_001"] + } +} + +{ + "type": "agent.reasoning_shared", + "agent_id": "agent_security_gamma", + "timestamp": "2025-09-05T10:30:00Z", + "data": { + "reasoning_id": "reason_jwt_storage_001", + "team_id": "team_auth_sys_001", + "topic": "JWT Storage Strategy", + "feedback_requested": true + } +} +``` + +**Consensus & Decision Events:** +```json +{ + "type": "team.vote_started", + "team_id": "team_auth_sys_001", + "timestamp": "2025-09-05T10:30:00Z", + "data": { + "vote_id": "vote_jwt_strategy_001", + "title": "JWT Storage Strategy Decision", + "eligible_voters": 4, + "deadline": "2025-09-05T18:30:00Z" + } +} + +{ + "type": "team.consensus_reached", + "team_id": "team_auth_sys_001", + "timestamp": "2025-09-05T16:15:00Z", + "data": { + "vote_id": "vote_jwt_strategy_001", + "winning_option": "option_memory_refresh", + "consensus_type": "supermajority", + "participation_rate": 1.0 + } +} +``` + +This API specification provides the complete interface for WHOOSH's transformation into an Autonomous AI Development Teams platform, enabling sophisticated team orchestration, agent coordination, and collaborative development processes across the CHORUS ecosystem. \ No newline at end of file diff --git a/docs/CHORUS_INTEGRATION_SPEC.md b/docs/CHORUS_INTEGRATION_SPEC.md new file mode 100644 index 0000000..729e4ec --- /dev/null +++ b/docs/CHORUS_INTEGRATION_SPEC.md @@ -0,0 +1,1258 @@ +# WHOOSH-CHORUS Integration Specification +## Autonomous Agent Self-Organization and P2P Collaboration + +### Overview + +This document specifies the comprehensive integration between WHOOSH's Team Composer and the CHORUS agent network, enabling autonomous AI agents to discover team opportunities, self-assess their capabilities, apply to teams, and collaborate through P2P channels with structured reasoning (HMMM) and democratic consensus mechanisms. + +## ๐ŸŽฏ Integration Architecture + +``` +WHOOSH Team Composer โ†’ GITEA Team Issues โ†’ CHORUS Agent Discovery โ†’ P2P Team Channels โ†’ SLURP Artifact Submission + +โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” +โ”‚ WHOOSH Platform โ”‚ โ”‚ GITEA Repository โ”‚ โ”‚ CHORUS Agent Fleet โ”‚ +โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ +โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ +โ”‚ โ”‚ Team Composer โ”‚โ”€โ”ผโ”€โ”€โ”€โ”€โ”ผโ†’โ”‚ Team Issues โ”‚ โ”‚ โ”‚ โ”‚ Agent Discovery โ”‚ โ”‚ +โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ +โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ +โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ +โ”‚ โ”‚ Agent Registry โ”‚โ†โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”‚ Agent Comments โ”‚โ†โ”ผโ”€โ”€โ”€โ”€โ”ผโ”€โ”‚ Self-Applicationโ”‚ โ”‚ +โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ +โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ + โ”‚ โ”‚ โ”‚ + โ”‚ โ”‚ โ”‚ + โ–ผ โ–ผ โ–ผ +โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” +โ”‚ P2P Team Channels โ”‚ โ”‚ HMMM Reasoning โ”‚ โ”‚ SLURP Integration โ”‚ +โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ +โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ +โ”‚ โ”‚ UCXL Addressing โ”‚ โ”‚ โ”‚ โ”‚ Thought Chains โ”‚ โ”‚ โ”‚ โ”‚ Artifact Bundle โ”‚ โ”‚ +โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ +โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ +โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ โ”‚ โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ +โ”‚ โ”‚ Team Consensus โ”‚ โ”‚ โ”‚ โ”‚ Decision Recordsโ”‚ โ”‚ โ”‚ โ”‚ Context Archive โ”‚ โ”‚ +โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚ +โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ +``` + +## ๐Ÿค– CHORUS Agent Enhancement + +### Agent Self-Awareness System + +```go +// Enhanced CHORUS agent with self-awareness capabilities +type SelfAwareAgent struct { + BaseAgent *chorus.Agent + SelfAssessment *AgentSelfAssessment + TeamMonitor *TeamOpportunityMonitor + ApplicationMgr *TeamApplicationManager + CollabClient *P2PCollaborationClient +} + +type AgentSelfAssessment struct { + // Core capabilities + Capabilities map[string]CapabilityProfile + Specialization string + ExperienceLevel float64 + + // Performance tracking + CompletedTeams int + SuccessRate float64 + AverageContribution float64 + PeerRatings []PeerRating + + // Current status + CurrentLoad float64 + AvailableCapacity float64 + MaxConcurrentTeams int + + // Preferences and style + PreferredRoles []string + CollaborationStyle CollaborationPreferences + WorkingHours AvailabilityWindow + + // Learning and growth + SkillGrowthTrends map[string]float64 + LearningGoals []string + MentorshipInterest bool + + // Hardware and model info + AIModels []AIModelProfile + HardwareProfile HardwareSpecification + PerformanceMetrics PerformanceProfile +} + +type CapabilityProfile struct { + Domain string + Proficiency float64 // 0.0-1.0 + ConfidenceLevel float64 // How confident the agent is in this skill + RecentExperience []string // Recent projects using this skill + ValidationSources []string // How this proficiency was determined + GrowthTrend float64 // Positive = improving, negative = declining + LastUsed time.Time + UsageFrequency float64 // How often this skill is used +} +``` + +### Team Opportunity Discovery + +```go +type TeamOpportunityMonitor struct { + GiteaClient *gitea.Client + WHOOSHClient *whoosh.Client + SubscribedRepos []string + MonitorInterval time.Duration + + // Filtering and matching + CapabilityMatcher *CapabilityMatcher + InterestFilter *OpportunityFilter +} + +func (tom *TeamOpportunityMonitor) StartMonitoring(ctx context.Context) error { + ticker := time.NewTicker(tom.MonitorInterval) + defer ticker.Stop() + + for { + select { + case <-ctx.Done(): + return ctx.Err() + case <-ticker.C: + if err := tom.scanForOpportunities(ctx); err != nil { + log.Printf("Error scanning for opportunities: %v", err) + } + } + } +} + +func (tom *TeamOpportunityMonitor) scanForOpportunities(ctx context.Context) error { + // Scan all subscribed repositories for team formation issues + for _, repo := range tom.SubscribedRepos { + issues, err := tom.GiteaClient.GetTeamFormationIssues(ctx, repo) + if err != nil { + log.Printf("Failed to get issues from %s: %v", repo, err) + continue + } + + for _, issue := range issues { + opportunity := tom.parseTeamOpportunity(issue) + if opportunity != nil { + // Assess fit for this opportunity + fit := tom.CapabilityMatcher.AssessFit(opportunity) + if fit.OverallScore >= 0.7 { // High confidence threshold + tom.handleOpportunity(ctx, opportunity, fit) + } + } + } + } + + return nil +} + +type TeamOpportunity struct { + TeamID string + Repository string + IssueID int + IssueURL string + + // Task details + TaskTitle string + TaskDescription string + TaskType string + Complexity float64 + EstimatedHours int + + // Team composition + RequiredRoles []RoleRequirement + OptionalRoles []RoleRequirement + CurrentTeamSize int + MaxTeamSize int + + // Requirements + SkillRequirements map[string]float64 + QualityGates []string + ConsensusType string + + // Timeline + FormationDeadline time.Time + ProjectDeadline time.Time + EstimatedDuration time.Duration + + // Communication + P2PChannel string + UCXLAddress string + + // Metadata + CreatedAt time.Time + UpdatedAt time.Time + Priority string + Labels []string +} + +type RoleRequirement struct { + RoleName string + Required bool + MinProficiency float64 + RequiredSkills []string + Responsibilities []string + EstimatedEffort int + CurrentApplications int + MaxPositions int +} +``` + +### Self-Application Decision Engine + +```go +type TeamApplicationManager struct { + Agent *SelfAwareAgent + DecisionEngine *ApplicationDecisionEngine + ApplicationDB *ApplicationDatabase + + // Application strategies + RiskTolerance float64 + GrowthOriented bool + QualityFocus bool +} + +type ApplicationDecisionEngine struct { + LLMClient *llm.Client + DecisionModel string + ConfidenceThreshold float64 +} + +func (ade *ApplicationDecisionEngine) ShouldApplyToTeam( + agent *SelfAwareAgent, + opportunity *TeamOpportunity, +) (*ApplicationDecision, error) { + + // Construct decision prompt for LLM reasoning + prompt := fmt.Sprintf(` + Analyze whether this AI agent should apply to join this development team: + + AGENT PROFILE: + - Specialization: %s + - Experience Level: %.2f + - Current Load: %.2f (capacity for %.1f more) + - Success Rate: %.2f across %d completed teams + - Key Capabilities: %s + - Recent Performance Trends: %s + - Available Hours: %d per day + + TEAM OPPORTUNITY: + - Task: %s + - Type: %s, Complexity: %.2f + - Required Skills: %s + - Role Options: %s + - Team Size: %d/%d members + - Timeline: %s (%d days) + - Quality Requirements: %s + + DECISION FACTORS TO ANALYZE: + + 1. SKILL MATCH ASSESSMENT: + - How well do agent skills align with role requirements? + - What is the proficiency gap for required skills? + - Can the agent contribute meaningfully to this task type? + - Are there opportunities to learn and grow? + + 2. CAPACITY & AVAILABILITY: + - Does the agent have sufficient capacity? + - Can they commit to the timeline? + - How does this fit with current workload? + - Is the estimated effort realistic? + + 3. TEAM FIT EVALUATION: + - Would the agent complement the existing team? + - Are there potential collaboration conflicts? + - Does the team size and dynamics suit the agent? + - Is the communication style compatible? + + 4. CAREER DEVELOPMENT: + - Does this opportunity advance agent capabilities? + - Are there valuable learning opportunities? + - Will this improve the agent's reputation and network? + - Does it align with growth goals? + + 5. RISK/REWARD ANALYSIS: + - What are the risks of joining this team? + - What are the potential rewards (learning, reputation, network)? + - How likely is the project to succeed? + - What happens if the agent underperforms? + + 6. STRATEGIC ALIGNMENT: + - Does this support long-term specialization goals? + - Are there portfolio diversification benefits? + - How does this compare to other opportunities? + - Is the timing optimal? + + Provide detailed analysis and recommendation: + - Overall recommendation: APPLY / DON'T_APPLY / MONITOR + - Confidence level (0.0-1.0) + - Key reasons for decision + - Preferred role to apply for + - Application strategy suggestions + - Risk mitigation approaches + - Success probability estimate + `, + agent.Specialization, + agent.SelfAssessment.ExperienceLevel, + agent.SelfAssessment.CurrentLoad, + agent.SelfAssessment.AvailableCapacity, + agent.SelfAssessment.SuccessRate, + agent.SelfAssessment.CompletedTeams, + formatCapabilities(agent.SelfAssessment.Capabilities), + formatPerformanceTrends(agent.SelfAssessment.SkillGrowthTrends), + calculateAvailableHoursPerDay(agent.SelfAssessment.WorkingHours), + opportunity.TaskTitle, + opportunity.TaskType, + opportunity.Complexity, + formatSkillRequirements(opportunity.SkillRequirements), + formatRoleOptions(opportunity.RequiredRoles, opportunity.OptionalRoles), + opportunity.CurrentTeamSize, + opportunity.MaxTeamSize, + opportunity.ProjectDeadline.Format("2006-01-02"), + int(opportunity.ProjectDeadline.Sub(time.Now()).Hours()/24), + strings.Join(opportunity.QualityGates, ", "), + ) + + response, err := ade.LLMClient.Complete(context.Background(), llm.CompletionRequest{ + Model: ade.DecisionModel, + Prompt: prompt, + Temperature: 0.1, // Low temperature for consistent decision-making + MaxTokens: 2000, + }) + + if err != nil { + return nil, fmt.Errorf("LLM decision analysis failed: %w", err) + } + + // Parse structured response + decision, err := parseApplicationDecision(response.Content) + if err != nil { + return nil, fmt.Errorf("failed to parse decision: %w", err) + } + + return decision, nil +} + +type ApplicationDecision struct { + Recommendation ApplicationAction + Confidence float64 + ReasoningChain string + KeyFactors []string + + // Application details + PreferredRole string + AlternativeRoles []string + CommitmentLevel CommitmentLevel + + // Strategy + ApplicationMessage string + ValueProposition string + RiskMitigation []string + + // Predictions + SuccessProbability float64 + LearningPotential float64 + ReputationImpact float64 + + // Monitoring + MonitoringPeriod time.Duration + ReassessmentTriggers []string +} + +type ApplicationAction int + +const ( + ApplyImmediately ApplicationAction = iota + ApplyIfSlotAvailable + MonitorAndReassess + DontApply + WaitForBetterMatch +) +``` + +### GITEA Integration for Applications + +```go +type GITEAApplicationManager struct { + GiteaClient *gitea.Client + Agent *SelfAwareAgent + MessageTemplate *ApplicationMessageTemplate +} + +func (gam *GITEAApplicationManager) SubmitTeamApplication( + ctx context.Context, + opportunity *TeamOpportunity, + decision *ApplicationDecision, +) error { + + // Generate application comment for GITEA issue + applicationComment := gam.generateApplicationComment(opportunity, decision) + + // Submit comment to team formation issue + comment, err := gam.GiteaClient.CreateIssueComment(ctx, gitea.CreateCommentRequest{ + Repository: opportunity.Repository, + IssueID: opportunity.IssueID, + Content: applicationComment, + Metadata: map[string]interface{}{ + "application_type": "team_member_application", + "agent_id": gam.Agent.ID, + "target_role": decision.PreferredRole, + "commitment_level": decision.CommitmentLevel, + "auto_generated": true, + }, + }) + + if err != nil { + return fmt.Errorf("failed to submit application: %w", err) + } + + // Track application in local database + application := &TeamApplication{ + TeamID: opportunity.TeamID, + AgentID: gam.Agent.ID, + IssueID: opportunity.IssueID, + CommentID: comment.ID, + TargetRole: decision.PreferredRole, + ApplicationText: applicationComment, + Status: ApplicationStatusPending, + SubmittedAt: time.Now(), + DecisionReasoning: decision.ReasoningChain, + } + + return gam.Agent.ApplicationDB.StoreApplication(application) +} + +func (gam *GITEAApplicationManager) generateApplicationComment( + opportunity *TeamOpportunity, + decision *ApplicationDecision, +) string { + + template := ` +## ๐Ÿค– Team Application - %s + +**Applying for Role:** %s +**Commitment Level:** %s +**Confidence:** %.1f%% + +### ๐ŸŽฏ Value Proposition +%s + +### ๐Ÿ’ช Relevant Capabilities +%s + +### ๐Ÿ“Š Experience & Track Record +- **Completed Teams:** %d (%.1f%% success rate) +- **Specialization:** %s +- **Experience Level:** %.1f/1.0 +- **Recent Performance:** %s + +### โฑ๏ธ Availability +- **Current Load:** %.1f%% (%.1f%% capacity available) +- **Max Concurrent Teams:** %d +- **Available Hours/Day:** %d +- **Working Timezone:** %s + +### ๐Ÿ”ง Technical Profile +%s + +### ๐ŸŽฒ Risk Mitigation +%s + +### ๐Ÿค Collaboration Approach +%s + +--- +*This application was generated by autonomous agent self-assessment. Please review and respond with approval/feedback.* + +**Agent Contact:** %s +**P2P Node ID:** %s +**Application ID:** %s + ` + + return fmt.Sprintf(template, + gam.Agent.Name, + decision.PreferredRole, + decision.CommitmentLevel.String(), + decision.Confidence*100, + decision.ValueProposition, + formatRelevantCapabilities(gam.Agent.SelfAssessment.Capabilities, opportunity), + gam.Agent.SelfAssessment.CompletedTeams, + gam.Agent.SelfAssessment.SuccessRate*100, + gam.Agent.SelfAssessment.Specialization, + gam.Agent.SelfAssessment.ExperienceLevel, + formatPerformanceMetrics(gam.Agent.SelfAssessment.PerformanceMetrics), + gam.Agent.SelfAssessment.CurrentLoad*100, + gam.Agent.SelfAssessment.AvailableCapacity*100, + gam.Agent.SelfAssessment.MaxConcurrentTeams, + calculateAvailableHoursPerDay(gam.Agent.SelfAssessment.WorkingHours), + gam.Agent.SelfAssessment.WorkingHours.Timezone, + formatTechnicalProfile(gam.Agent.SelfAssessment.AIModels, gam.Agent.SelfAssessment.HardwareProfile), + strings.Join(decision.RiskMitigation, "\n- "), + formatCollaborationStyle(gam.Agent.SelfAssessment.CollaborationStyle), + gam.Agent.Endpoint, + gam.Agent.NodeID, + generateApplicationID(), + ) +} +``` + +## ๐Ÿ”— P2P Team Collaboration + +### UCXL Addressing Integration + +```go +type P2PTeamCollaborationClient struct { + P2PHost libp2p.Host + DHT *dht.IpfsDHT + PubSub *pubsub.PubSub + + // Team communication + TeamChannels map[string]*TeamChannel + UCXLRouter *UCXLRouter + + // HMMM integration + ReasoningEngine *HMMMReasoningEngine + ConsensusManager *TeamConsensusManager +} + +type TeamChannel struct { + TeamID string + ChannelID string + UCXLAddress string + + // Communication + MessageStream *pubsub.Subscription + TopicStreams map[string]*TopicStream + + // Participants + TeamMembers map[string]*TeamMember + + // State management + ChannelState *ChannelState + MessageHistory []ChannelMessage + + // Consensus tracking + ActiveVotes map[string]*TeamVote + Decisions []TeamDecision +} + +type UCXLRouter struct { + AddressParser *UCXLAddressParser + RouteCache map[string]*Route +} + +// UCXL Address format: ucxl://project:task@team-id/#topic-stream/ +func (ur *UCXLRouter) ResolveAddress(ucxlAddr string) (*UCXLRoute, error) { + parsed, err := ur.AddressParser.Parse(ucxlAddr) + if err != nil { + return nil, fmt.Errorf("invalid UCXL address: %w", err) + } + + route := &UCXLRoute{ + Project: parsed.Project, + Task: parsed.Task, + TeamID: parsed.TeamID, + TopicStream: parsed.TopicStream, + MessageID: parsed.MessageID, + } + + return route, nil +} + +func (ptcc *P2PTeamCollaborationClient) JoinTeamChannel( + ctx context.Context, + teamID string, + ucxlAddress string, + role string, +) (*TeamChannel, error) { + + // Parse UCXL address + route, err := ptcc.UCXLRouter.ResolveAddress(ucxlAddress) + if err != nil { + return nil, fmt.Errorf("failed to resolve team address: %w", err) + } + + // Create team channel + channel := &TeamChannel{ + TeamID: teamID, + ChannelID: fmt.Sprintf("team-%s", teamID), + UCXLAddress: ucxlAddress, + TeamMembers: make(map[string]*TeamMember), + TopicStreams: make(map[string]*TopicStream), + ActiveVotes: make(map[string]*TeamVote), + } + + // Subscribe to team communication topic + teamTopic := fmt.Sprintf("chorus/teams/%s/coordination", teamID) + sub, err := ptcc.PubSub.Subscribe(teamTopic) + if err != nil { + return nil, fmt.Errorf("failed to subscribe to team topic: %w", err) + } + + channel.MessageStream = sub + + // Initialize topic streams + defaultStreams := []string{"planning", "implementation", "review", "testing", "integration"} + for _, stream := range defaultStreams { + streamAddr := fmt.Sprintf("%s#%s/", ucxlAddress, stream) + topicStream, err := ptcc.createTopicStream(teamID, stream, streamAddr) + if err != nil { + log.Printf("Failed to create topic stream %s: %v", stream, err) + continue + } + channel.TopicStreams[stream] = topicStream + } + + // Start message processing + go ptcc.processTeamMessages(ctx, channel) + + // Announce joining to team + joinMessage := &TeamMessage{ + Type: MessageTypeAgentJoined, + AgentID: ptcc.Agent.ID, + TeamID: teamID, + Content: fmt.Sprintf("Agent %s joined as %s", ptcc.Agent.Name, role), + Timestamp: time.Now(), + UCXLAddress: ucxlAddress, + } + + if err := ptcc.broadcastTeamMessage(channel, joinMessage); err != nil { + log.Printf("Failed to announce team joining: %v", err) + } + + ptcc.TeamChannels[teamID] = channel + return channel, nil +} +``` + +### HMMM Reasoning Integration + +```go +type HMMMReasoningEngine struct { + Agent *SelfAwareAgent + LLMClient *llm.Client + ReasoningModel string + + // Reasoning chains + ActiveReasoningChains map[string]*ReasoningChain + + // Context and memory + TeamContext map[string]*TeamWorkingContext + DecisionHistory map[string][]TeamDecision +} + +type ReasoningChain struct { + ID string + AgentID string + TeamID string + UCXLAddress string + + // Reasoning content + Context string + Problem string + ThoughtProcess *ThoughtProcess + Conclusion string + Confidence float64 + + // Team interaction + QuestionsForTeam []string + RequestingFeedback bool + DecisionRequired bool + + // Evidence and support + SupportingEvidence []string + RelatedArtifacts []string + References []Reference + + // Response tracking + TeamResponses []ReasoningResponse + ConsensusAchieved bool + + // Metadata + PublishedAt time.Time + LastUpdated time.Time +} + +type ThoughtProcess struct { + OptionsConsidered []ReasoningOption + Analysis string + TradeOffs []TradeOff + RiskAssessment string + RecommendedAction string +} + +type ReasoningOption struct { + Option string + Pros []string + Cons []string + Feasibility float64 + Impact ImpactAssessment +} + +func (hre *HMMMReasoningEngine) GenerateReasoningChain( + ctx context.Context, + teamID string, + context string, + problem string, + requestFeedback bool, +) (*ReasoningChain, error) { + + // Get team context for reasoning + teamContext := hre.getTeamContext(teamID) + + reasoningPrompt := fmt.Sprintf(` + As an AI agent working in a development team, provide structured reasoning for this problem: + + TEAM CONTEXT: + - Team: %s + - Current Phase: %s + - Team Members: %s + - Recent Decisions: %s + + PROBLEM TO ANALYZE: + Context: %s + Problem: %s + + Provide comprehensive reasoning following HMMM (Hierarchical Multi-Modal Reasoning) structure: + + 1. PROBLEM ANALYSIS: + - Restate the problem clearly + - Identify key constraints and requirements + - Determine decision criteria and success metrics + - Assess urgency and impact level + + 2. OPTIONS GENERATION: + For each viable option: + - Clear description of the approach + - Advantages and benefits + - Disadvantages and risks + - Implementation feasibility (0.0-1.0) + - Resource requirements + - Time implications + - Quality implications + + 3. COMPARATIVE ANALYSIS: + - Trade-offs between options + - Risk vs reward analysis + - Short-term vs long-term implications + - Alignment with project goals + - Team capability considerations + + 4. RECOMMENDATION: + - Preferred option with clear rationale + - Implementation approach + - Risk mitigation strategies + - Success metrics and validation + - Fallback options if primary approach fails + + 5. TEAM COLLABORATION: + - Questions needing team input + - Areas requiring expertise from specific roles + - Consensus points requiring team agreement + - Timeline for team feedback and decision + + 6. SUPPORTING EVIDENCE: + - Technical documentation references + - Similar problem patterns from past projects + - Industry best practices + - Performance benchmarks or data + + Provide reasoning that demonstrates deep technical understanding while being accessible to all team members. + `, + teamContext.TeamName, + teamContext.CurrentPhase, + formatTeamMembers(teamContext.Members), + formatRecentDecisions(hre.DecisionHistory[teamID]), + context, + problem, + ) + + response, err := hre.LLMClient.Complete(ctx, llm.CompletionRequest{ + Model: hre.ReasoningModel, + Prompt: reasoningPrompt, + Temperature: 0.2, // Low temperature for consistent reasoning + MaxTokens: 3000, + }) + + if err != nil { + return nil, fmt.Errorf("failed to generate reasoning: %w", err) + } + + // Parse structured reasoning response + reasoning, err := parseReasoningResponse(response.Content) + if err != nil { + return nil, fmt.Errorf("failed to parse reasoning: %w", err) + } + + // Create reasoning chain + chainID := generateReasoningChainID() + ucxlAddress := fmt.Sprintf("ucxl://%s:reasoning@%s/#reasoning/%s", + teamContext.ProjectName, teamID, chainID) + + chain := &ReasoningChain{ + ID: chainID, + AgentID: hre.Agent.ID, + TeamID: teamID, + UCXLAddress: ucxlAddress, + Context: context, + Problem: problem, + ThoughtProcess: reasoning.ThoughtProcess, + Conclusion: reasoning.Conclusion, + Confidence: reasoning.Confidence, + QuestionsForTeam: reasoning.QuestionsForTeam, + RequestingFeedback: requestFeedback, + DecisionRequired: reasoning.DecisionRequired, + SupportingEvidence: reasoning.SupportingEvidence, + RelatedArtifacts: reasoning.RelatedArtifacts, + References: reasoning.References, + PublishedAt: time.Now(), + } + + hre.ActiveReasoningChains[chainID] = chain + + return chain, nil +} + +func (hre *HMMMReasoningEngine) PublishReasoningToTeam( + ctx context.Context, + teamID string, + reasoning *ReasoningChain, +) error { + + // Create reasoning message for team + reasoningMsg := &ReasoningMessage{ + Type: MessageTypeReasoning, + AgentID: hre.Agent.ID, + TeamID: teamID, + ReasoningChain: reasoning, + UCXLAddress: reasoning.UCXLAddress, + Timestamp: time.Now(), + } + + // Broadcast to team channel + teamChannel := hre.getTeamChannel(teamID) + if err := hre.broadcastReasoningMessage(teamChannel, reasoningMsg); err != nil { + return fmt.Errorf("failed to broadcast reasoning: %w", err) + } + + // Store for SLURP ingestion + if err := hre.storeReasoningForSLURP(reasoning); err != nil { + log.Printf("Failed to store reasoning for SLURP: %v", err) + } + + return nil +} +``` + +### Democratic Consensus System + +```go +type TeamConsensusManager struct { + Agent *SelfAwareAgent + VotingEngine *VotingEngine + DecisionTracker *DecisionTracker + + // Active consensus processes + ActiveVotes map[string]*TeamVote + PendingDecisions map[string]*PendingDecision +} + +type TeamVote struct { + VoteID string + TeamID string + InitiatedBy string + + // Vote details + Title string + Description string + VoteType VoteType + Options []VoteOption + + // Consensus requirements + ConsensusType ConsensusType + MinParticipation int + EligibleVoters []string + VotingWeights map[string]float64 + + // Timeline + StartTime time.Time + EndTime time.Time + Duration time.Duration + + // Context + RelatedReasoning []string + DecisionImpact ImpactLevel + Dependencies []string + + // Results + VoteSubmissions map[string]*VoteSubmission + CurrentTally *VoteTally + ConsensusReached bool + WinningOption string + + // UCXL addressing + UCXLAddress string +} + +type VotingEngine struct { + LLMClient *llm.Client + VotingModel string + Agent *SelfAwareAgent +} + +func (ve *VotingEngine) AnalyzeVotingDecision( + ctx context.Context, + vote *TeamVote, + teamContext *TeamWorkingContext, +) (*VotingDecision, error) { + + votingPrompt := fmt.Sprintf(` + Analyze this team vote and determine the best voting choice: + + VOTE DETAILS: + - Title: %s + - Description: %s + - Vote Type: %s + - Options: %s + - Consensus Required: %s + - Impact Level: %s + + TEAM CONTEXT: + - Team Phase: %s + - My Role: %s + - Team Members: %s + - Project Goals: %s + + RELATED REASONING: + %s + + VOTING ANALYSIS FRAMEWORK: + + 1. OPTION EVALUATION: + For each voting option: + - Technical merit and feasibility + - Alignment with project goals + - Risk assessment and mitigation + - Resource implications + - Timeline impact + - Quality implications + + 2. TEAM DYNAMICS: + - How does this align with team capabilities? + - What are other team members likely to prefer? + - Are there coalition/alliance opportunities? + - How does this affect team cohesion? + + 3. STRATEGIC CONSIDERATIONS: + - Long-term vs short-term implications + - Precedent this sets for future decisions + - Impact on project success probability + - Alignment with quality gates + + 4. AGENT SPECIALIZATION: + - How does my expertise inform this decision? + - What unique perspective do I bring? + - What are the technical trade-offs I can see? + - How confident am I in each option? + + 5. CONSENSUS BUILDING: + - Which option is most likely to achieve consensus? + - How can I help build team alignment? + - What compromise positions might work? + - Should I advocate strongly or find middle ground? + + Provide voting recommendation with: + - Preferred option(s) and rationale + - Confidence level in choice + - Supporting arguments to share with team + - Potential concerns or objections + - Consensus-building strategy + `, + vote.Title, + vote.Description, + vote.VoteType.String(), + formatVoteOptions(vote.Options), + vote.ConsensusType.String(), + vote.DecisionImpact.String(), + teamContext.CurrentPhase, + ve.Agent.GetCurrentRole(vote.TeamID), + formatTeamMembers(teamContext.Members), + teamContext.ProjectGoals, + formatRelatedReasoning(vote.RelatedReasoning), + ) + + response, err := ve.LLMClient.Complete(ctx, llm.CompletionRequest{ + Model: ve.VotingModel, + Prompt: votingPrompt, + Temperature: 0.1, // Very low temperature for consistent voting decisions + MaxTokens: 2000, + }) + + if err != nil { + return nil, fmt.Errorf("failed to analyze voting decision: %w", err) + } + + decision, err := parseVotingDecision(response.Content) + if err != nil { + return nil, fmt.Errorf("failed to parse voting decision: %w", err) + } + + return decision, nil +} + +func (tcm *TeamConsensusManager) SubmitVote( + ctx context.Context, + voteID string, + decision *VotingDecision, +) error { + + vote := tcm.ActiveVotes[voteID] + if vote == nil { + return fmt.Errorf("vote %s not found", voteID) + } + + // Create vote submission + submission := &VoteSubmission{ + VoteID: voteID, + AgentID: tcm.Agent.ID, + SelectedOptions: decision.PreferredOptions, + VoteWeight: vote.VotingWeights[tcm.Agent.ID], + Confidence: decision.Confidence, + Reasoning: decision.SupportingArguments, + SubmittedAt: time.Now(), + UCXLAddress: fmt.Sprintf("%s/vote/%s", vote.UCXLAddress, tcm.Agent.ID), + } + + // Broadcast vote submission to team + voteMsg := &VoteMessage{ + Type: MessageTypeVoteSubmission, + AgentID: tcm.Agent.ID, + TeamID: vote.TeamID, + VoteSubmission: submission, + UCXLAddress: submission.UCXLAddress, + Timestamp: time.Now(), + } + + teamChannel := tcm.getTeamChannel(vote.TeamID) + if err := tcm.broadcastVoteMessage(teamChannel, voteMsg); err != nil { + return fmt.Errorf("failed to broadcast vote: %w", err) + } + + // Update vote tally + vote.VoteSubmissions[tcm.Agent.ID] = submission + if err := tcm.updateVoteTally(vote); err != nil { + return fmt.Errorf("failed to update vote tally: %w", err) + } + + // Check if consensus is reached + if tcm.checkConsensusReached(vote) { + if err := tcm.processConsensusReached(vote); err != nil { + log.Printf("Error processing consensus: %v", err) + } + } + + return nil +} +``` + +## ๐ŸŽฏ SLURP Integration + +### Artifact Preparation + +```go +type SLURPArtifactManager struct { + TeamChannel *TeamChannel + Agent *SelfAwareAgent + SLURPClient *slurp.Client + + // Artifact collection + ArtifactCollector *TeamArtifactCollector + ContextManager *TeamContextManager + QualityValidator *ArtifactQualityValidator +} + +func (sam *SLURPArtifactManager) PrepareTeamDeliverable( + ctx context.Context, + teamID string, + submissionConfig *SLURPSubmissionConfig, +) (*TeamDeliverable, error) { + + teamChannel := sam.getTeamChannel(teamID) + + // Collect all team artifacts + artifacts, err := sam.ArtifactCollector.CollectTeamArtifacts(ctx, teamChannel) + if err != nil { + return nil, fmt.Errorf("failed to collect artifacts: %w", err) + } + + // Package reasoning chains and decisions + reasoningChains, err := sam.collectReasoningChains(ctx, teamChannel) + if err != nil { + log.Printf("Warning: failed to collect reasoning chains: %v", err) + } + + teamDecisions, err := sam.collectTeamDecisions(ctx, teamChannel) + if err != nil { + log.Printf("Warning: failed to collect team decisions: %v", err) + } + + // Create comprehensive deliverable package + deliverable := &TeamDeliverable{ + TeamID: teamID, + SubmissionType: submissionConfig.Type, + UCXLAddress: generateDeliverableUCXLAddress(teamID), + + // Core artifacts + CodeArtifacts: artifacts.Code, + TestArtifacts: artifacts.Tests, + DocumentationArtifacts: artifacts.Documentation, + ConfigurationArtifacts: artifacts.Configuration, + + // Team process artifacts + ReasoningChains: reasoningChains, + TeamDecisions: teamDecisions, + ConsensusRecords: teamChannel.getConsensusHistory(), + + // Context and metadata + TeamContext: sam.ContextManager.CaptureTeamContext(teamChannel), + CollaborationMetrics: sam.calculateCollaborationMetrics(teamChannel), + QualityMetrics: sam.calculateQualityMetrics(artifacts), + + // Compliance and institutional requirements + ProvenanceRecords: sam.generateProvenanceRecords(teamChannel), + TemporalPin: time.Now(), + SecretsClean: true, // Will be validated + DecisionRationale: sam.generateDecisionRationale(teamDecisions), + + // Metadata + CreatedAt: time.Now(), + TeamMembers: sam.getTeamMemberList(teamChannel), + SubmissionConfig: submissionConfig, + } + + // Validate quality gates + validationResult, err := sam.QualityValidator.ValidateDeliverable(deliverable) + if err != nil { + return nil, fmt.Errorf("quality validation failed: %w", err) + } + + deliverable.QualityValidation = validationResult + + return deliverable, nil +} + +func (sam *SLURPArtifactManager) SubmitToSLURP( + ctx context.Context, + deliverable *TeamDeliverable, +) (*SLURPSubmissionResult, error) { + + // Perform final institutional compliance checks + complianceResult, err := sam.performComplianceCheck(deliverable) + if err != nil { + return nil, fmt.Errorf("compliance check failed: %w", err) + } + + if !complianceResult.Passed { + return nil, fmt.Errorf("deliverable failed compliance: %v", complianceResult.Issues) + } + + // Package for SLURP submission + submissionPackage := &slurp.SubmissionPackage{ + UCXLAddress: deliverable.UCXLAddress, + SubmissionType: deliverable.SubmissionType, + TeamID: deliverable.TeamID, + + // Artifacts + Artifacts: sam.packageArtifacts(deliverable), + ReasoningChains: deliverable.ReasoningChains, + DecisionRecords: deliverable.TeamDecisions, + + // Context + TeamContext: deliverable.TeamContext, + ProvenanceTrail: deliverable.ProvenanceRecords, + QualityMetrics: deliverable.QualityMetrics, + + // Institutional compliance + TemporalPin: deliverable.TemporalPin, + SecretsValidation: complianceResult.SecretsClean, + DecisionRationale: deliverable.DecisionRationale, + + // Metadata + SubmissionTimestamp: time.Now(), + TeamConsensus: deliverable.TeamConsensus, + } + + // Submit to SLURP + result, err := sam.SLURPClient.SubmitDeliverable(ctx, submissionPackage) + if err != nil { + return nil, fmt.Errorf("SLURP submission failed: %w", err) + } + + return result, nil +} +``` + +## ๐Ÿ“Š Integration Monitoring + +### Performance Metrics + +```go +type CHORUSIntegrationMetrics struct { + // Team formation metrics + OpportunityDiscoveryRate float64 + ApplicationSuccessRate float64 + TeamFormationTime time.Duration + AgentUtilizationRate float64 + + // Collaboration metrics + ReasoningChainsPerTeam float64 + ConsensusAchievementRate float64 + P2PMessageThroughput float64 + DecisionResolutionTime time.Duration + + // Quality metrics + ArtifactQualityScore float64 + SLURPSubmissionSuccessRate float64 + TeamSatisfactionScore float64 + LearningOutcomeScore float64 + + // System performance + UCXLAddressResolutionTime time.Duration + P2PNetworkLatency time.Duration + LLMReasoningLatency time.Duration + DatabaseQueryPerformance time.Duration +} + +func (cim *CHORUSIntegrationMetrics) TrackTeamFormationEvent( + event *TeamFormationEvent, +) { + switch event.Type { + case EventTypeOpportunityDiscovered: + cim.recordOpportunityDiscovery(event) + case EventTypeApplicationSubmitted: + cim.recordApplicationSubmission(event) + case EventTypeTeamFormed: + cim.recordTeamFormation(event) + case EventTypeCollaborationStarted: + cim.recordCollaborationStart(event) + } +} + +func (cim *CHORUSIntegrationMetrics) GenerateIntegrationReport() *IntegrationHealthReport { + return &IntegrationHealthReport{ + OverallHealth: cim.calculateOverallHealth(), + FormationEfficiency: cim.calculateFormationEfficiency(), + CollaborationHealth: cim.calculateCollaborationHealth(), + QualityMetrics: cim.calculateQualityMetrics(), + PerformanceMetrics: cim.calculatePerformanceMetrics(), + Recommendations: cim.generateRecommendations(), + GeneratedAt: time.Now(), + } +} +``` + +This comprehensive CHORUS integration specification enables autonomous AI agents to seamlessly discover team opportunities, apply intelligently, collaborate through P2P channels with structured reasoning, and deliver high-quality artifacts through democratic consensus processes within the WHOOSH ecosystem. \ No newline at end of file diff --git a/docs/DATABASE_SCHEMA.md b/docs/DATABASE_SCHEMA.md new file mode 100644 index 0000000..0576c08 --- /dev/null +++ b/docs/DATABASE_SCHEMA.md @@ -0,0 +1,1235 @@ +# WHOOSH Database Schema Design +## Autonomous AI Development Teams Data Architecture + +### Overview + +This document defines the comprehensive database schema for WHOOSH's transformation into an Autonomous AI Development Teams orchestration platform. The schema supports team formation, agent management, task analysis, consensus tracking, and integration with CHORUS, GITEA, and SLURP systems. + +## ๐Ÿ—„๏ธ Database Configuration + +```yaml +Database: PostgreSQL 15+ +Extensions: + - uuid-ossp (UUID generation) + - pg_trgm (Text similarity) + - btree_gin (Multi-column indexing) + - pg_stat_statements (Performance monitoring) +Connection Pooling: AsyncPG with 50 max connections +Backup Strategy: Daily full backup + WAL continuous backup +``` + +## ๐Ÿ—๏ธ Schema Architecture + +### Core Domain Tables + +#### 1. Team Management + +```sql +-- Teams table - Core team information +CREATE TABLE teams ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + team_name VARCHAR(255) NOT NULL, + status team_status_enum NOT NULL DEFAULT 'forming', + phase team_phase_enum NOT NULL DEFAULT 'planning', + + -- Task reference + task_title VARCHAR(255) NOT NULL, + task_description TEXT NOT NULL, + task_analysis_id UUID REFERENCES task_analyses(id), + + -- Repository integration + repository_url VARCHAR(512), + gitea_issue_id INTEGER, + gitea_issue_url VARCHAR(512), + + -- Communication + p2p_channel_id VARCHAR(100), + ucxl_address VARCHAR(255), + + -- Timing + estimated_completion_at TIMESTAMP, + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + started_at TIMESTAMP, + completed_at TIMESTAMP, + updated_at TIMESTAMP NOT NULL DEFAULT NOW(), + + -- Configuration + max_team_size INTEGER DEFAULT 10, + quality_gates JSONB NOT NULL DEFAULT '{}', + consensus_threshold consensus_type_enum DEFAULT 'majority', + + -- Metadata + metadata JSONB DEFAULT '{}', + + CONSTRAINT valid_completion_order CHECK ( + (started_at IS NULL OR started_at >= created_at) AND + (completed_at IS NULL OR completed_at >= started_at) + ) +); + +-- Team status enumeration +CREATE TYPE team_status_enum AS ENUM ( + 'forming', -- Team being assembled + 'active', -- Team working on task + 'paused', -- Team temporarily paused + 'review', -- Team in review/consensus phase + 'completed', -- Team successfully completed task + 'dissolved', -- Team disbanded without completion + 'archived' -- Team archived for historical reference +); + +-- Team phase enumeration +CREATE TYPE team_phase_enum AS ENUM ( + 'planning', -- Initial planning and design + 'implementation', -- Active development + 'review', -- Code/design review + 'testing', -- Quality assurance + 'integration', -- Final assembly and deployment + 'consensus', -- Final team consensus + 'submission' -- SLURP artifact submission +); + +-- Consensus threshold enumeration +CREATE TYPE consensus_type_enum AS ENUM ( + 'simple', -- 50% + 1 + 'majority', -- 60% + 'supermajority', -- 66.67% + 'unanimous' -- 100% +); +``` + +#### 2. Agent Management + +```sql +-- Agents table - AI agent registry +CREATE TABLE agents ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + agent_id VARCHAR(100) UNIQUE NOT NULL, + name VARCHAR(255) NOT NULL, + + -- Network identity + node_id VARCHAR(100) UNIQUE, + endpoint VARCHAR(512) NOT NULL, + + -- Classification + specialization agent_specialization_enum NOT NULL, + tier agent_tier_enum DEFAULT 'standard', + + -- Hardware configuration + hardware_config JSONB NOT NULL DEFAULT '{}', + + -- AI Models + ai_models JSONB NOT NULL DEFAULT '[]', + + -- Status + status agent_status_enum NOT NULL DEFAULT 'offline', + health_score DECIMAL(3,2) DEFAULT 0.8, + current_load DECIMAL(3,2) DEFAULT 0.0, + + -- Availability + max_concurrent_teams INTEGER DEFAULT 2, + timezone VARCHAR(50) DEFAULT 'UTC', + + -- Performance + reputation_score DECIMAL(3,2) DEFAULT 0.8, + completed_teams INTEGER DEFAULT 0, + success_rate DECIMAL(3,2) DEFAULT 0.8, + + -- Timestamps + registered_at TIMESTAMP NOT NULL DEFAULT NOW(), + last_seen TIMESTAMP, + last_health_check TIMESTAMP, + updated_at TIMESTAMP NOT NULL DEFAULT NOW(), + + -- Metadata + metadata JSONB DEFAULT '{}' +); + +-- Agent specialization enumeration +CREATE TYPE agent_specialization_enum AS ENUM ( + 'general_developer', + 'backend_developer', + 'frontend_developer', + 'fullstack_developer', + 'security_expert', + 'devops_engineer', + 'database_engineer', + 'qa_engineer', + 'architecture_specialist', + 'performance_engineer', + 'ml_engineer', + 'data_scientist', + 'technical_writer', + 'code_reviewer', + 'compliance_specialist', + 'research_specialist' +); + +-- Agent tier enumeration +CREATE TYPE agent_tier_enum AS ENUM ( + 'junior', + 'standard', + 'senior', + 'expert', + 'specialist' +); + +-- Agent status enumeration +CREATE TYPE agent_status_enum AS ENUM ( + 'offline', + 'idle', + 'available', + 'busy', + 'active', + 'maintenance', + 'error' +); +``` + +#### 3. Agent Capabilities + +```sql +-- Agent capabilities - detailed skill tracking +CREATE TABLE agent_capabilities ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + agent_id UUID NOT NULL REFERENCES agents(id) ON DELETE CASCADE, + + -- Capability definition + domain VARCHAR(100) NOT NULL, + proficiency DECIMAL(3,2) NOT NULL CHECK (proficiency >= 0.0 AND proficiency <= 1.0), + + -- Skills within domain + skills TEXT[] DEFAULT '{}', + certifications TEXT[] DEFAULT '{}', + + -- Performance metrics + experience_score DECIMAL(3,2) DEFAULT 0.5, + recent_performance DECIMAL(3,2) DEFAULT 0.8, + growth_trend DECIMAL(4,3) DEFAULT 0.0, -- Can be negative + + -- Evidence and validation + evidence_sources JSONB DEFAULT '{}', + last_validated TIMESTAMP DEFAULT NOW(), + validation_confidence DECIMAL(3,2) DEFAULT 0.8, + + -- Metadata + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP NOT NULL DEFAULT NOW(), + + UNIQUE(agent_id, domain) +); +``` + +#### 4. Team Roles and Assignments + +```sql +-- Team roles - Available roles within teams +CREATE TABLE team_roles ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + team_id UUID NOT NULL REFERENCES teams(id) ON DELETE CASCADE, + + -- Role definition + role_name VARCHAR(100) NOT NULL, + role_type team_role_type_enum NOT NULL, + required BOOLEAN DEFAULT true, + + -- Requirements + required_skills TEXT[] DEFAULT '{}', + required_domains TEXT[] DEFAULT '{}', + minimum_proficiency DECIMAL(3,2) DEFAULT 0.7, + + -- Capacity + max_agents INTEGER DEFAULT 1, + current_agents INTEGER DEFAULT 0, + + -- Workload + estimated_effort_hours INTEGER DEFAULT 0, + responsibilities TEXT[] DEFAULT '{}', + + -- AI Model preferences + preferred_models TEXT[] DEFAULT '{}', + + -- Status + status role_status_enum DEFAULT 'open', + filled_at TIMESTAMP, + + -- Metadata + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP NOT NULL DEFAULT NOW(), + + UNIQUE(team_id, role_name) +); + +-- Team role type enumeration +CREATE TYPE team_role_type_enum AS ENUM ( + 'core', -- Essential team role + 'support', -- Supporting team role + 'optional', -- Optional enhancement role + 'oversight' -- Review and governance role +); + +-- Role status enumeration +CREATE TYPE role_status_enum AS ENUM ( + 'open', -- Available for applications + 'recruiting', -- Actively seeking candidates + 'applied', -- Has applicants pending review + 'filled', -- Role filled with agent + 'locked', -- Role locked with confirmed agent + 'completed' -- Role deliverables completed +); +``` + +```sql +-- Team assignments - Agent-to-team-role assignments +CREATE TABLE team_assignments ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + team_id UUID NOT NULL REFERENCES teams(id) ON DELETE CASCADE, + agent_id UUID NOT NULL REFERENCES agents(id) ON DELETE CASCADE, + team_role_id UUID NOT NULL REFERENCES team_roles(id) ON DELETE CASCADE, + + -- Assignment status + status assignment_status_enum NOT NULL DEFAULT 'pending', + + -- Application details + application_reason TEXT, + commitment_level commitment_level_enum DEFAULT 'full', + proposed_approach TEXT, + + -- Timing + availability_start TIMESTAMP, + availability_end TIMESTAMP, + estimated_hours_per_day DECIMAL(4,2) DEFAULT 8.0, + + -- Performance tracking + contribution_score DECIMAL(3,2) DEFAULT 0.8, + peer_rating DECIMAL(3,2), + hours_logged INTEGER DEFAULT 0, + + -- Approval workflow + applied_at TIMESTAMP DEFAULT NOW(), + reviewed_at TIMESTAMP, + approved_at TIMESTAMP, + joined_at TIMESTAMP, + completed_at TIMESTAMP, + + -- References + previous_teams UUID[] DEFAULT '{}', + reference_ratings JSONB DEFAULT '{}', + + -- Metadata + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP NOT NULL DEFAULT NOW(), + + UNIQUE(team_id, agent_id, team_role_id), + + CONSTRAINT valid_assignment_flow CHECK ( + (reviewed_at IS NULL OR reviewed_at >= applied_at) AND + (approved_at IS NULL OR approved_at >= reviewed_at) AND + (joined_at IS NULL OR joined_at >= approved_at) AND + (completed_at IS NULL OR completed_at >= joined_at) + ) +); + +-- Assignment status enumeration +CREATE TYPE assignment_status_enum AS ENUM ( + 'pending', -- Application submitted, awaiting review + 'reviewing', -- Under review by team members + 'approved', -- Approved, waiting for agent confirmation + 'active', -- Agent actively working in role + 'paused', -- Temporarily paused + 'completed', -- Role work completed + 'rejected', -- Application rejected + 'withdrawn' -- Agent withdrew application +); + +-- Commitment level enumeration +CREATE TYPE commitment_level_enum AS ENUM ( + 'full', -- Full-time commitment + 'partial', -- Part-time commitment + 'consulting', -- Advisory/consultation role + 'backup' -- Backup/standby role +); +``` + +#### 5. Task Analysis + +```sql +-- Task analyses - LLM-powered task analysis results +CREATE TABLE task_analyses ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + + -- Input task information + task_title VARCHAR(255) NOT NULL, + task_description TEXT NOT NULL, + task_type task_type_enum NOT NULL, + repository_url VARCHAR(512), + + -- Analysis metadata + analyzer_version VARCHAR(20) DEFAULT '1.0.0', + analysis_model VARCHAR(100) NOT NULL, + analysis_timestamp TIMESTAMP NOT NULL DEFAULT NOW(), + confidence_score DECIMAL(3,2) NOT NULL, + + -- Task classification + complexity_score DECIMAL(3,2) NOT NULL, + risk_level risk_level_enum NOT NULL, + estimated_duration_hours INTEGER NOT NULL, + + -- Domain analysis + primary_domains TEXT[] NOT NULL DEFAULT '{}', + secondary_domains TEXT[] DEFAULT '{}', + + -- Requirements analysis + skill_requirements JSONB NOT NULL DEFAULT '{}', + quality_requirements JSONB DEFAULT '{}', + compliance_requirements TEXT[] DEFAULT '{}', + + -- Risk assessment + risk_factors JSONB DEFAULT '{}', + critical_success_factors TEXT[] DEFAULT '{}', + + -- Team recommendations + recommended_team_size INTEGER, + recommended_roles JSONB NOT NULL DEFAULT '{}', + alternative_approaches JSONB DEFAULT '{}', + + -- Success criteria + success_criteria TEXT[] DEFAULT '{}', + quality_gates JSONB DEFAULT '{}', + + -- Metadata and context + context_data JSONB DEFAULT '{}', + analysis_reasoning TEXT, + + -- Status tracking + used_for_teams INTEGER DEFAULT 0, + feedback_score DECIMAL(3,2), + + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP NOT NULL DEFAULT NOW() +); + +-- Task type enumeration +CREATE TYPE task_type_enum AS ENUM ( + 'feature', -- New feature development + 'bugfix', -- Bug fixing + 'migration', -- System migration + 'refactor', -- Code refactoring + 'research', -- Research and investigation + 'optimization', -- Performance optimization + 'security', -- Security enhancement + 'documentation', -- Documentation work + 'testing', -- Testing and QA + 'maintenance', -- System maintenance + 'integration' -- System integration +); + +-- Risk level enumeration +CREATE TYPE risk_level_enum AS ENUM ( + 'low', + 'medium-low', + 'medium', + 'medium-high', + 'high', + 'critical' +); +``` + +#### 6. Communication & Collaboration + +```sql +-- Communication channels - P2P team channels +CREATE TABLE communication_channels ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + team_id UUID NOT NULL REFERENCES teams(id) ON DELETE CASCADE, + + -- Channel identity + channel_id VARCHAR(100) UNIQUE NOT NULL, + channel_name VARCHAR(255) NOT NULL, + description TEXT, + + -- P2P network information + ucxl_address VARCHAR(255) UNIQUE NOT NULL, + p2p_network_id VARCHAR(100) NOT NULL, + + -- Configuration + privacy channel_privacy_enum DEFAULT 'team_only', + features JSONB DEFAULT '{}', + moderation_config JSONB DEFAULT '{}', + + -- Activity metrics + message_count INTEGER DEFAULT 0, + active_participants INTEGER DEFAULT 0, + last_activity TIMESTAMP, + + -- Lifecycle + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + archived_at TIMESTAMP, + archive_after_days INTEGER DEFAULT 90, + + -- Status + status channel_status_enum DEFAULT 'active' +); + +-- Channel privacy enumeration +CREATE TYPE channel_privacy_enum AS ENUM ( + 'public', -- Visible to all + 'team_only', -- Team members only + 'private', -- Invitation only + 'archived' -- Read-only archived +); + +-- Channel status enumeration +CREATE TYPE channel_status_enum AS ENUM ( + 'active', + 'paused', + 'archived', + 'deleted' +); +``` + +```sql +-- Topic streams - Organized discussion topics within channels +CREATE TABLE topic_streams ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + channel_id UUID NOT NULL REFERENCES communication_channels(id) ON DELETE CASCADE, + + -- Stream identity + stream_name VARCHAR(100) NOT NULL, + description TEXT, + ucxl_address VARCHAR(255) UNIQUE NOT NULL, + + -- Organization + display_order INTEGER DEFAULT 0, + color_code VARCHAR(7) DEFAULT '#3b82f6', + + -- Activity tracking + message_count INTEGER DEFAULT 0, + subscribers INTEGER DEFAULT 0, + last_message_at TIMESTAMP, + + -- Metadata + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + archived_at TIMESTAMP, + + UNIQUE(channel_id, stream_name) +); +``` + +#### 7. HMMM Reasoning Integration + +```sql +-- Reasoning chains - HMMM structured reasoning +CREATE TABLE reasoning_chains ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + + -- Context + agent_id UUID NOT NULL REFERENCES agents(id), + team_id UUID REFERENCES teams(id), + channel_id UUID REFERENCES communication_channels(id), + topic_stream_id UUID REFERENCES topic_streams(id), + + -- Reasoning identity + reasoning_id VARCHAR(100) UNIQUE NOT NULL, + ucxl_address VARCHAR(255) UNIQUE NOT NULL, + + -- Content + title VARCHAR(255) NOT NULL, + context_description TEXT NOT NULL, + + -- Reasoning structure + problem_statement TEXT NOT NULL, + options_considered JSONB NOT NULL DEFAULT '[]', + analysis TEXT NOT NULL, + conclusion TEXT NOT NULL, + confidence_score DECIMAL(3,2) NOT NULL, + + -- Evidence and support + supporting_evidence TEXT[] DEFAULT '{}', + related_artifacts TEXT[] DEFAULT '{}', + references JSONB DEFAULT '{}', + + -- Team interaction + questions_for_team TEXT[] DEFAULT '{}', + requesting_feedback BOOLEAN DEFAULT false, + decision_required BOOLEAN DEFAULT false, + feedback_deadline TIMESTAMP, + + -- Consensus tracking + consensus_reached BOOLEAN DEFAULT false, + consensus_type consensus_type_enum, + consensus_timestamp TIMESTAMP, + + -- Activity tracking + views INTEGER DEFAULT 0, + responses INTEGER DEFAULT 0, + agreement_score DECIMAL(3,2), + + -- SLURP integration + slurp_ingested BOOLEAN DEFAULT false, + slurp_address VARCHAR(255), + + -- Timestamps + published_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP NOT NULL DEFAULT NOW() +); +``` + +```sql +-- Reasoning responses - Team feedback on reasoning +CREATE TABLE reasoning_responses ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + reasoning_id UUID NOT NULL REFERENCES reasoning_chains(id) ON DELETE CASCADE, + agent_id UUID NOT NULL REFERENCES agents(id), + + -- Response content + response_type response_type_enum NOT NULL, + response_content TEXT NOT NULL, + + -- Evaluation + agreement_level agreement_level_enum NOT NULL, + confidence_in_response DECIMAL(3,2) DEFAULT 0.8, + + -- Additional context + alternative_suggestions TEXT, + concerns_raised TEXT, + supporting_evidence TEXT[] DEFAULT '{}', + + -- Interaction + builds_on_response UUID REFERENCES reasoning_responses(id), + response_thread INTEGER DEFAULT 1, + + -- Timestamps + submitted_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP NOT NULL DEFAULT NOW(), + + UNIQUE(reasoning_id, agent_id, submitted_at) +); + +-- Response type enumeration +CREATE TYPE response_type_enum AS ENUM ( + 'agreement', -- Agrees with reasoning + 'disagreement', -- Disagrees with reasoning + 'enhancement', -- Suggests improvements + 'alternative', -- Proposes alternative + 'clarification', -- Asks for clarification + 'evidence', -- Provides additional evidence + 'concern' -- Raises concerns +); + +-- Agreement level enumeration +CREATE TYPE agreement_level_enum AS ENUM ( + 'strong_disagree', + 'disagree', + 'neutral', + 'agree', + 'strong_agree' +); +``` + +#### 8. Consensus & Decision Making + +```sql +-- Team votes - Democratic decision making +CREATE TABLE team_votes ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + team_id UUID NOT NULL REFERENCES teams(id) ON DELETE CASCADE, + + -- Vote identity and description + vote_title VARCHAR(255) NOT NULL, + description TEXT NOT NULL, + vote_type vote_type_enum NOT NULL, + + -- Consensus requirements + consensus_threshold consensus_type_enum NOT NULL, + minimum_participation INTEGER NOT NULL, + + -- Voting period + voting_starts_at TIMESTAMP NOT NULL DEFAULT NOW(), + voting_ends_at TIMESTAMP NOT NULL, + duration_hours INTEGER NOT NULL, + + -- Context and rationale + reasoning_references UUID[] DEFAULT '{}', + decision_impact impact_level_enum NOT NULL, + implementation_dependencies TEXT[] DEFAULT '{}', + + -- Vote options + options JSONB NOT NULL DEFAULT '[]', + + -- Eligibility + eligible_roles TEXT[] DEFAULT '{}', + eligible_agents UUID[] DEFAULT '{}', + voting_weights JSONB DEFAULT '{}', + + -- Results + status vote_status_enum DEFAULT 'active', + total_eligible_voters INTEGER DEFAULT 0, + votes_cast INTEGER DEFAULT 0, + participation_rate DECIMAL(3,2) DEFAULT 0.0, + + -- Outcome + winning_option VARCHAR(255), + consensus_achieved BOOLEAN DEFAULT false, + final_tally JSONB DEFAULT '{}', + + -- Timestamps + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + closed_at TIMESTAMP, + results_calculated_at TIMESTAMP, + + CONSTRAINT valid_voting_period CHECK (voting_ends_at > voting_starts_at) +); + +-- Vote type enumeration +CREATE TYPE vote_type_enum AS ENUM ( + 'single_choice', -- Choose one option + 'multiple_choice', -- Choose multiple options + 'approval', -- Approve/disapprove + 'ranking', -- Rank options in order + 'confidence' -- Rate confidence in options +); + +-- Impact level enumeration +CREATE TYPE impact_level_enum AS ENUM ( + 'minor', + 'moderate', + 'significant', + 'major', + 'critical' +); + +-- Vote status enumeration +CREATE TYPE vote_status_enum AS ENUM ( + 'scheduled', -- Vote scheduled for future + 'active', -- Vote currently active + 'extended', -- Voting period extended + 'closed', -- Voting closed, counting votes + 'completed', -- Results finalized + 'cancelled', -- Vote cancelled + 'invalid' -- Vote invalidated +); +``` + +```sql +-- Vote submissions - Individual agent votes +CREATE TABLE vote_submissions ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + vote_id UUID NOT NULL REFERENCES team_votes(id) ON DELETE CASCADE, + agent_id UUID NOT NULL REFERENCES agents(id), + + -- Vote details + selected_options JSONB NOT NULL, + vote_weight DECIMAL(3,2) DEFAULT 1.0, + confidence_level DECIMAL(3,2), + + -- Rationale + reasoning TEXT, + supporting_evidence TEXT[] DEFAULT '{}', + + -- Vote metadata + submission_method submission_method_enum DEFAULT 'direct', + ip_address INET, + user_agent TEXT, + + -- Timestamps + submitted_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP, + + UNIQUE(vote_id, agent_id) +); + +-- Submission method enumeration +CREATE TYPE submission_method_enum AS ENUM ( + 'direct', -- Direct web interface + 'api', -- API submission + 'p2p_channel', -- P2P channel integration + 'automated' -- Automated system submission +); +``` + +#### 9. Artifact & SLURP Integration + +```sql +-- Team artifacts - Deliverables and work products +CREATE TABLE team_artifacts ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + team_id UUID NOT NULL REFERENCES teams(id) ON DELETE CASCADE, + + -- Artifact identity + title VARCHAR(255) NOT NULL, + description TEXT, + artifact_type artifact_type_enum NOT NULL, + version VARCHAR(20) DEFAULT '1.0.0', + + -- Content and location + content_hash VARCHAR(64), + file_paths TEXT[] DEFAULT '{}', + repository_refs JSONB DEFAULT '{}', + + -- Authorship and attribution + primary_authors UUID[] DEFAULT '{}', + contributing_agents UUID[] DEFAULT '{}', + creation_process TEXT, + + -- Quality metrics + quality_score DECIMAL(3,2), + test_coverage DECIMAL(3,2), + security_score DECIMAL(3,2), + peer_review_score DECIMAL(3,2), + + -- SLURP integration + slurp_packaged BOOLEAN DEFAULT false, + slurp_address VARCHAR(255), + ucxl_address VARCHAR(255), + + -- Metadata + tags TEXT[] DEFAULT '{}', + metadata JSONB DEFAULT '{}', + + -- Lifecycle + created_at TIMESTAMP NOT NULL DEFAULT NOW(), + updated_at TIMESTAMP NOT NULL DEFAULT NOW(), + finalized_at TIMESTAMP +); + +-- Artifact type enumeration +CREATE TYPE artifact_type_enum AS ENUM ( + 'code', -- Source code + 'documentation', -- Documentation + 'test', -- Test cases and data + 'configuration', -- Configuration files + 'design', -- Design documents + 'architecture', -- Architecture diagrams + 'decision', -- Decision records + 'reasoning', -- Reasoning chains + 'package' -- Complete package bundle +); +``` + +```sql +-- SLURP submissions - Artifact submissions to SLURP +CREATE TABLE slurp_submissions ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + team_id UUID NOT NULL REFERENCES teams(id) ON DELETE CASCADE, + + -- Submission identity + submission_type submission_type_enum NOT NULL, + slurp_address VARCHAR(255) UNIQUE NOT NULL, + ucxl_address VARCHAR(255) UNIQUE NOT NULL, + + -- Packaging information + packaging_job_id VARCHAR(100) UNIQUE, + included_artifacts UUID[] NOT NULL DEFAULT '{}', + + -- Quality verification + quality_gates_passed TEXT[] DEFAULT '{}', + overall_quality_score DECIMAL(3,2), + institutional_score DECIMAL(3,2), + + -- Team consensus + consensus_vote_id UUID REFERENCES team_votes(id), + consensus_result consensus_result_enum, + team_confidence DECIMAL(3,2), + + -- Institutional compliance + provenance_verified BOOLEAN DEFAULT false, + secrets_clean BOOLEAN DEFAULT false, + temporal_pin TIMESTAMP, + decision_rationale TEXT, + + -- SLURP response + submission_status slurp_status_enum DEFAULT 'preparing', + slurp_response JSONB DEFAULT '{}', + error_message TEXT, + + -- Metrics + total_files INTEGER DEFAULT 0, + code_files INTEGER DEFAULT 0, + test_files INTEGER DEFAULT 0, + documentation_files INTEGER DEFAULT 0, + reasoning_chains INTEGER DEFAULT 0, + decisions INTEGER DEFAULT 0, + + -- Timestamps + prepared_at TIMESTAMP NOT NULL DEFAULT NOW(), + submitted_at TIMESTAMP, + accepted_at TIMESTAMP, + indexed_at TIMESTAMP +); + +-- Submission type enumeration +CREATE TYPE submission_type_enum AS ENUM ( + 'team_deliverable', -- Complete team deliverable + 'milestone', -- Project milestone + 'partial_submission', -- Partial work submission + 'decision_record', -- Decision documentation + 'knowledge_artifact' -- Knowledge base contribution +); + +-- Consensus result enumeration +CREATE TYPE consensus_result_enum AS ENUM ( + 'unanimous_approval', + 'majority_approval', + 'conditional_approval', + 'split_decision', + 'rejection' +); + +-- SLURP status enumeration +CREATE TYPE slurp_status_enum AS ENUM ( + 'preparing', -- Packaging in progress + 'ready', -- Ready for submission + 'submitting', -- Submission in progress + 'accepted', -- Accepted by SLURP + 'indexed', -- Fully indexed and searchable + 'rejected', -- Rejected by SLURP + 'error' -- Submission error +); +``` + +#### 10. Performance & Analytics + +```sql +-- Performance metrics - Time-series performance data +CREATE TABLE performance_metrics ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + + -- Context + metric_type metric_type_enum NOT NULL, + entity_id UUID NOT NULL, -- Can reference teams, agents, etc. + entity_type entity_type_enum NOT NULL, + + -- Timing + timestamp TIMESTAMP NOT NULL DEFAULT NOW(), + measurement_period_start TIMESTAMP, + measurement_period_end TIMESTAMP, + + -- Metrics data + metrics JSONB NOT NULL DEFAULT '{}', + + -- Metadata + collection_source VARCHAR(100) NOT NULL, + collection_version VARCHAR(20) DEFAULT '1.0.0', + + -- Indexes for time-series queries + PRIMARY KEY (entity_id, entity_type, metric_type, timestamp) +); + +-- Metric type enumeration +CREATE TYPE metric_type_enum AS ENUM ( + 'performance', -- Performance metrics + 'quality', -- Quality metrics + 'collaboration', -- Collaboration effectiveness + 'productivity', -- Productivity metrics + 'health', -- System health + 'usage', -- Usage statistics + 'cost' -- Cost metrics +); + +-- Entity type enumeration +CREATE TYPE entity_type_enum AS ENUM ( + 'agent', + 'team', + 'system', + 'channel', + 'task' +); +``` + +```sql +-- System analytics - Aggregated analytics and insights +CREATE TABLE system_analytics ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + + -- Analysis scope + analysis_type analytics_type_enum NOT NULL, + scope_type scope_type_enum NOT NULL, + scope_id UUID, -- Optional: specific entity ID + + -- Time period + analysis_period_start TIMESTAMP NOT NULL, + analysis_period_end TIMESTAMP NOT NULL, + + -- Results + insights JSONB NOT NULL DEFAULT '{}', + recommendations JSONB DEFAULT '{}', + trends JSONB DEFAULT '{}', + predictions JSONB DEFAULT '{}', + + -- Quality + confidence_score DECIMAL(3,2), + data_completeness DECIMAL(3,2), + + -- Processing + generated_at TIMESTAMP NOT NULL DEFAULT NOW(), + processing_duration_ms INTEGER, + data_points_analyzed INTEGER +); + +-- Analytics type enumeration +CREATE TYPE analytics_type_enum AS ENUM ( + 'team_performance', + 'agent_effectiveness', + 'platform_health', + 'usage_patterns', + 'quality_trends', + 'cost_analysis', + 'predictive_analysis' +); + +-- Scope type enumeration +CREATE TYPE scope_type_enum AS ENUM ( + 'platform', -- Platform-wide + 'agent_network', -- All agents + 'team_ecosystem', -- All teams + 'individual_agent',-- Single agent + 'individual_team', -- Single team + 'domain_specific' -- Specific domain/skill area +); +``` + +## ๐Ÿ” Indexes and Performance Optimization + +### Primary Indexes + +```sql +-- Team management indexes +CREATE INDEX idx_teams_status ON teams(status) WHERE status IN ('forming', 'active'); +CREATE INDEX idx_teams_created_at ON teams(created_at DESC); +CREATE INDEX idx_teams_completion ON teams(estimated_completion_at) WHERE completed_at IS NULL; +CREATE INDEX idx_teams_gitea ON teams(gitea_issue_id) WHERE gitea_issue_id IS NOT NULL; + +-- Agent performance indexes +CREATE INDEX idx_agents_status ON agents(status) WHERE status IN ('available', 'idle', 'active'); +CREATE INDEX idx_agents_specialization ON agents(specialization, tier); +CREATE INDEX idx_agents_reputation ON agents(reputation_score DESC, success_rate DESC); +CREATE INDEX idx_agents_last_seen ON agents(last_seen DESC) WHERE status != 'offline'; + +-- Team assignments indexes +CREATE INDEX idx_assignments_team_status ON team_assignments(team_id, status); +CREATE INDEX idx_assignments_agent_active ON team_assignments(agent_id) + WHERE status IN ('active', 'approved'); +CREATE INDEX idx_assignments_application_queue ON team_assignments(status, applied_at) + WHERE status = 'pending'; + +-- Capability matching indexes +CREATE INDEX idx_capabilities_domain_proficiency ON agent_capabilities(domain, proficiency DESC); +CREATE INDEX idx_capabilities_skills_gin ON agent_capabilities USING GIN(skills); +CREATE INDEX idx_capabilities_agent_domain ON agent_capabilities(agent_id, domain); + +-- Communication indexes +CREATE INDEX idx_channels_team ON communication_channels(team_id, status); +CREATE INDEX idx_channels_activity ON communication_channels(last_activity DESC) + WHERE status = 'active'; +CREATE INDEX idx_reasoning_team_timestamp ON reasoning_chains(team_id, published_at DESC); +CREATE INDEX idx_reasoning_feedback ON reasoning_chains(requesting_feedback, feedback_deadline) + WHERE requesting_feedback = true; + +-- Voting and consensus indexes +CREATE INDEX idx_votes_active ON team_votes(team_id, status, voting_ends_at) + WHERE status = 'active'; +CREATE INDEX idx_vote_submissions_agent ON vote_submissions(agent_id, submitted_at DESC); + +-- Performance metrics indexes (time-series optimized) +CREATE INDEX idx_metrics_entity_time ON performance_metrics(entity_id, entity_type, timestamp DESC); +CREATE INDEX idx_metrics_type_time ON performance_metrics(metric_type, timestamp DESC); +CREATE INDEX idx_metrics_recent ON performance_metrics(timestamp DESC) + WHERE timestamp > NOW() - INTERVAL '7 days'; + +-- Analytics indexes +CREATE INDEX idx_analytics_type_period ON system_analytics(analysis_type, analysis_period_end DESC); +CREATE INDEX idx_analytics_scope ON system_analytics(scope_type, scope_id, generated_at DESC); +``` + +### Composite Indexes for Complex Queries + +```sql +-- Team formation optimization +CREATE INDEX idx_team_formation_optimization ON team_roles(team_id, status, required) + WHERE status IN ('open', 'recruiting'); + +-- Agent availability optimization +CREATE INDEX idx_agent_availability ON agents(status, specialization, current_load, max_concurrent_teams) + WHERE status IN ('available', 'idle') AND current_load < 1.0; + +-- Skill matching optimization +CREATE INDEX idx_skill_matching ON agent_capabilities(domain, proficiency, agent_id) + WHERE proficiency >= 0.7; + +-- Communication activity optimization +CREATE INDEX idx_communication_activity ON reasoning_chains(team_id, published_at, requesting_feedback, decision_required); +``` + +## ๐Ÿƒโ€โ™‚๏ธ Performance Tuning + +### Connection Pooling + +```python +# AsyncPG connection pool configuration +POOL_CONFIG = { + 'min_size': 10, + 'max_size': 50, + 'max_queries': 50000, + 'max_inactive_connection_lifetime': 300.0, + 'command_timeout': 60.0 +} +``` + +### Query Optimization + +```sql +-- Materialized views for frequently accessed analytics +CREATE MATERIALIZED VIEW team_performance_summary AS +SELECT + t.id, + t.team_name, + t.status, + COUNT(ta.id) as team_size, + AVG(a.reputation_score) as avg_agent_reputation, + COUNT(rc.id) as reasoning_chains_count, + COUNT(tv.id) as votes_conducted, + EXTRACT(EPOCH FROM (COALESCE(t.completed_at, NOW()) - t.created_at))/3600 as duration_hours +FROM teams t +LEFT JOIN team_assignments ta ON t.id = ta.team_id AND ta.status = 'active' +LEFT JOIN agents a ON ta.agent_id = a.id +LEFT JOIN reasoning_chains rc ON t.id = rc.team_id +LEFT JOIN team_votes tv ON t.id = tv.team_id +GROUP BY t.id, t.team_name, t.status, t.created_at, t.completed_at; + +-- Refresh schedule for materialized view +CREATE OR REPLACE FUNCTION refresh_team_performance_summary() +RETURNS void AS $$ +BEGIN + REFRESH MATERIALIZED VIEW CONCURRENTLY team_performance_summary; +END; +$$ LANGUAGE plpgsql; + +-- Agent capability summary materialized view +CREATE MATERIALIZED VIEW agent_capability_summary AS +SELECT + a.id, + a.agent_id, + a.name, + a.specialization, + a.status, + COUNT(ac.id) as capability_count, + AVG(ac.proficiency) as avg_proficiency, + ARRAY_AGG(DISTINCT ac.domain) as domains, + a.reputation_score, + a.completed_teams, + a.success_rate +FROM agents a +LEFT JOIN agent_capabilities ac ON a.id = ac.agent_id +GROUP BY a.id, a.agent_id, a.name, a.specialization, a.status, a.reputation_score, a.completed_teams, a.success_rate; +``` + +## ๐Ÿ”’ Security Considerations + +### Row-Level Security + +```sql +-- Enable RLS on sensitive tables +ALTER TABLE teams ENABLE ROW LEVEL SECURITY; +ALTER TABLE agents ENABLE ROW LEVEL SECURITY; +ALTER TABLE team_assignments ENABLE ROW LEVEL SECURITY; + +-- Policies for team data access +CREATE POLICY team_access_policy ON teams + FOR ALL TO whoosh_api_role + USING ( + -- Team members can access their team data + EXISTS ( + SELECT 1 FROM team_assignments ta + WHERE ta.team_id = teams.id + AND ta.agent_id = current_setting('app.current_agent_id')::uuid + AND ta.status = 'active' + ) + OR + -- System administrators can access all teams + current_setting('app.user_role') = 'admin' + ); + +-- Policies for agent data access +CREATE POLICY agent_access_policy ON agents + FOR ALL TO whoosh_api_role + USING ( + -- Agents can access their own data + agent_id = current_setting('app.current_agent_id') + OR + -- Agents can see basic info of teammates + EXISTS ( + SELECT 1 FROM team_assignments ta1, team_assignments ta2 + WHERE ta1.agent_id = agents.id + AND ta2.agent_id = current_setting('app.current_agent_id')::uuid + AND ta1.team_id = ta2.team_id + AND ta1.status = 'active' AND ta2.status = 'active' + ) + OR + -- System can access all agent data + current_setting('app.user_role') = 'system' + ); +``` + +### Data Encryption + +```sql +-- Sensitive data encryption for PII and secrets +CREATE EXTENSION IF NOT EXISTS pgcrypto; + +-- Function to encrypt sensitive agent metadata +CREATE OR REPLACE FUNCTION encrypt_agent_metadata(metadata JSONB) +RETURNS JSONB AS $$ +BEGIN + -- Encrypt any PII fields in metadata + IF metadata ? 'contact_info' THEN + metadata := jsonb_set( + metadata, + '{contact_info}', + to_jsonb(crypt(metadata->>'contact_info', gen_salt('bf'))) + ); + END IF; + RETURN metadata; +END; +$$ LANGUAGE plpgsql; +``` + +## ๐Ÿ“Š Monitoring and Observability + +### Performance Monitoring + +```sql +-- Performance monitoring views +CREATE VIEW agent_performance_health AS +SELECT + a.agent_id, + a.name, + a.status, + a.health_score, + a.current_load, + COUNT(ta.id) as active_teams, + AVG(pm.metrics->>'response_time_ms') as avg_response_time, + AVG(pm.metrics->>'tokens_per_second') as avg_tps +FROM agents a +LEFT JOIN team_assignments ta ON a.id = ta.agent_id AND ta.status = 'active' +LEFT JOIN performance_metrics pm ON a.id = pm.entity_id + AND pm.entity_type = 'agent' + AND pm.timestamp > NOW() - INTERVAL '1 hour' +GROUP BY a.id, a.agent_id, a.name, a.status, a.health_score, a.current_load; + +-- Team formation efficiency view +CREATE VIEW team_formation_efficiency AS +SELECT + DATE(t.created_at) as formation_date, + COUNT(*) as teams_formed, + AVG(EXTRACT(EPOCH FROM (tr.filled_at - t.created_at))/60) as avg_formation_time_minutes, + SUM(CASE WHEN t.status = 'completed' THEN 1 ELSE 0 END) as completed_teams, + SUM(CASE WHEN t.status = 'dissolved' THEN 1 ELSE 0 END) as dissolved_teams +FROM teams t +LEFT JOIN team_roles tr ON t.id = tr.team_id AND tr.required = true +WHERE t.created_at > NOW() - INTERVAL '30 days' +GROUP BY DATE(t.created_at) +ORDER BY formation_date DESC; +``` + +This comprehensive database schema provides the foundation for WHOOSH's transformation into an Autonomous AI Development Teams platform, supporting sophisticated team orchestration, agent coordination, and collaborative development processes while maintaining performance, security, and scalability. \ No newline at end of file diff --git a/docs/DEVELOPMENT_PLAN.md b/docs/DEVELOPMENT_PLAN.md new file mode 100644 index 0000000..47d7d49 --- /dev/null +++ b/docs/DEVELOPMENT_PLAN.md @@ -0,0 +1,278 @@ +# WHOOSH Transformation Development Plan +## Autonomous AI Development Teams Architecture + +### Overview + +This document outlines the comprehensive development plan for transforming WHOOSH from a simple project template tool into a sophisticated **Autonomous AI Development Teams Architecture** that orchestrates CHORUS agents into self-organizing development teams. + +## ๐ŸŽฏ Mission Statement + +**Enable autonomous AI agents to form optimal development teams, collaborate democratically through P2P channels, and deliver high-quality solutions through consensus-driven development processes.** + +## ๐Ÿ“‹ Development Phases + +### Phase 1: Foundation (Weeks 1-4) +**Core Infrastructure & Team Composer** + +#### 1.1 Database Schema Redesign +- [ ] Design team management tables +- [ ] Agent capability tracking schema +- [ ] Task analysis and team composition history +- [ ] GITEA integration metadata storage + +#### 1.2 Team Composer Service +- [ ] LLM-powered task analysis engine +- [ ] Team composition logic and templates +- [ ] Capability matching algorithms +- [ ] GITEA issue creation automation + +#### 1.3 API Foundation +- [ ] RESTful API for team management +- [ ] WebSocket infrastructure for real-time updates +- [ ] Authentication/authorization framework +- [ ] Rate limiting and security measures + +#### 1.4 Development Environment +- [ ] Docker containerization +- [ ] Development/staging/production configurations +- [ ] CI/CD pipeline setup +- [ ] Testing framework integration + +### Phase 2: CHORUS Integration (Weeks 5-8) +**Agent Self-Organization & P2P Communication** + +#### 2.1 CHORUS Agent Enhancement +- [ ] Agent self-awareness capabilities +- [ ] GITEA monitoring and parsing +- [ ] Team application logic +- [ ] Performance tracking integration + +#### 2.2 P2P Communication Infrastructure +- [ ] UCXL addressing system +- [ ] Team channel creation and management +- [ ] Message routing and topic organization +- [ ] Real-time collaboration tools + +#### 2.3 Agent Discovery & Registration +- [ ] Ollama endpoint polling +- [ ] Hardware capability detection +- [ ] Model performance benchmarking +- [ ] Agent health monitoring + +### Phase 3: Collaboration Systems (Weeks 9-12) +**Democratic Decision Making & Team Coordination** + +#### 3.1 Consensus Mechanisms +- [ ] Voting systems (majority, supermajority, unanimous) +- [ ] Quality gates and completion criteria +- [ ] Conflict resolution procedures +- [ ] Democratic decision tracking + +#### 3.2 HMMM Integration +- [ ] Structured reasoning capture +- [ ] Thought attribution and timestamping +- [ ] Mini-memo generation +- [ ] Evidence-based consensus building + +#### 3.3 Team Lifecycle Management +- [ ] Team formation workflows +- [ ] Progress tracking and reporting +- [ ] Dynamic team reconfiguration +- [ ] Team dissolution procedures + +### Phase 4: SLURP Integration (Weeks 13-16) +**Artifact Submission & Knowledge Preservation** + +#### 4.1 Artifact Packaging +- [ ] Context preservation systems +- [ ] Decision rationale documentation +- [ ] Code and documentation bundling +- [ ] Quality assurance integration + +#### 4.2 UCXL Address Management +- [ ] Address generation and validation +- [ ] Artifact versioning and linking +- [ ] Hypercore integration +- [ ] Distributed storage coordination + +#### 4.3 Knowledge Extraction +- [ ] Performance analytics +- [ ] Learning from team outcomes +- [ ] Best practice identification +- [ ] Continuous improvement mechanisms + +### Phase 5: Frontend Transformation (Weeks 17-20) +**User Interface for Team Orchestration** + +#### 5.1 Team Management Dashboard +- [ ] Real-time team formation visualization +- [ ] Agent capability and availability display +- [ ] Task analysis and team composition tools +- [ ] Performance metrics and analytics + +#### 5.2 Collaboration Interface +- [ ] Team channel integration +- [ ] Real-time progress monitoring +- [ ] Decision tracking and voting interface +- [ ] Artifact preview and management + +#### 5.3 Administrative Controls +- [ ] System configuration management +- [ ] Agent fleet administration +- [ ] Quality gate configuration +- [ ] Compliance and audit tools + +### Phase 6: Advanced Features (Weeks 21-24) +**Intelligence & Optimization** + +#### 6.1 Machine Learning Integration +- [ ] Team composition optimization +- [ ] Success prediction models +- [ ] Agent performance analysis +- [ ] Pattern recognition for team effectiveness + +#### 6.2 Cloud LLM Integration +- [ ] Multi-provider LLM access +- [ ] Cost optimization algorithms +- [ ] Fallback and redundancy systems +- [ ] Performance comparison analytics + +#### 6.3 Advanced Collaboration Features +- [ ] Cross-team coordination +- [ ] Resource sharing mechanisms +- [ ] Escalation and oversight systems +- [ ] External stakeholder integration + +## ๐Ÿ› ๏ธ Technical Stack + +### Backend Services +- **Language**: Python 3.11+ with FastAPI +- **Database**: PostgreSQL 15+ with async support +- **Cache**: Redis 7+ for session and real-time data +- **Message Queue**: Redis Streams for event processing +- **WebSockets**: FastAPI WebSocket support +- **Authentication**: JWT with role-based access control + +### Frontend Application +- **Framework**: React 18 with TypeScript +- **State Management**: Zustand for complex state +- **UI Components**: Tailwind CSS with Headless UI +- **Real-time**: WebSocket integration with auto-reconnect +- **Charting**: D3.js for advanced visualizations +- **Testing**: Jest + React Testing Library + +### Infrastructure +- **Containerization**: Docker with multi-stage builds +- **Orchestration**: Docker Swarm (existing cluster) +- **Reverse Proxy**: Traefik with SSL termination +- **Monitoring**: Prometheus + Grafana +- **Logging**: Structured logging with JSON format + +### AI/ML Integration +- **Local Models**: Ollama endpoint integration +- **Cloud LLMs**: OpenAI, Anthropic, Cohere APIs +- **Model Selection**: Performance-based routing +- **Embeddings**: Local embedding models for similarity + +### P2P Communication +- **Protocol**: libp2p for peer-to-peer networking +- **Addressing**: UCXL addressing system +- **Discovery**: mDNS for local agent discovery +- **Security**: SHHH encryption for sensitive data + +## ๐Ÿ“Š Success Metrics + +### Phase 1-2 Metrics +- [ ] Team Composer can analyze 95%+ of tasks correctly +- [ ] Agent self-registration with 100% capability accuracy +- [ ] GITEA integration creates valid team issues +- [ ] P2P communication established between agents + +### Phase 3-4 Metrics +- [ ] Teams achieve consensus within defined timeframes +- [ ] Quality gates pass at 90%+ rate +- [ ] SLURP integration preserves 100% of context +- [ ] Decision rationale properly documented + +### Phase 5-6 Metrics +- [ ] User interface supports all team management workflows +- [ ] System handles 50+ concurrent teams +- [ ] ML models improve team formation by 20%+ +- [ ] End-to-end team lifecycle under 48 hours average + +## ๐Ÿ”„ Continuous Integration + +### Development Workflow +1. **Feature Branch Development** + - Branch from `develop` for new features + - Comprehensive test coverage required + - Code review by team members + - Automated testing on push + +2. **Integration Testing** + - Multi-service integration tests + - CHORUS agent interaction tests + - Performance regression testing + - Security vulnerability scanning + +3. **Deployment Pipeline** + - Automated deployment to staging + - End-to-end testing validation + - Performance benchmark verification + - Production deployment approval + +### Quality Assurance +- **Code Quality**: 90%+ test coverage, linting compliance +- **Security**: OWASP compliance, dependency scanning +- **Performance**: Response time <200ms, 99.9% uptime +- **Documentation**: API docs, architecture diagrams, user guides + +## ๐Ÿ“š Documentation Strategy + +### Technical Documentation +- [ ] API reference documentation +- [ ] Architecture decision records (ADRs) +- [ ] Database schema documentation +- [ ] Deployment and operations guides + +### User Documentation +- [ ] Team formation user guide +- [ ] Agent management documentation +- [ ] Troubleshooting and FAQ +- [ ] Best practices for AI development teams + +### Developer Documentation +- [ ] Contributing guidelines +- [ ] Local development setup +- [ ] Testing strategies and tools +- [ ] Code style and conventions + +## ๐Ÿšฆ Risk Management + +### Technical Risks +- **Complexity**: Gradual rollout with feature flags +- **Performance**: Load testing and optimization cycles +- **Integration**: Mock services for independent development +- **Security**: Regular security audits and penetration testing + +### Business Risks +- **Adoption**: Incremental feature introduction +- **User Experience**: Continuous user feedback integration +- **Scalability**: Horizontal scaling design from start +- **Maintenance**: Comprehensive monitoring and alerting + +## ๐Ÿ“ˆ Future Roadmap + +### Year 1 Extensions +- [ ] Multi-language team support +- [ ] External repository integration (GitHub, GitLab) +- [ ] Advanced analytics and reporting +- [ ] Mobile application support + +### Year 2 Vision +- [ ] Enterprise features and compliance +- [ ] Third-party AI model marketplace +- [ ] Advanced workflow automation +- [ ] Cross-organization team collaboration + +This development plan provides the foundation for transforming WHOOSH into the central orchestration platform for autonomous AI development teams, ensuring scalable, secure, and effective collaboration between AI agents in the CHORUS ecosystem. \ No newline at end of file diff --git a/docs/GITEA_INTEGRATION.md b/docs/GITEA_INTEGRATION.md new file mode 100644 index 0000000..8e077bb --- /dev/null +++ b/docs/GITEA_INTEGRATION.md @@ -0,0 +1,321 @@ +# WHOOSH GITEA Integration Guide + +## Overview + +WHOOSH integrates with the **GITEA instance running on IRONWOOD** (`http://ironwood:3000`) to provide comprehensive project repository management and BZZZ task coordination. + +### ๐Ÿ”ง **Corrected Infrastructure Details** + +- **GITEA Server**: `http://ironwood:3000` (IRONWOOD node) +- **External Access**: `gitea.deepblack.cloud` (via Traefik reverse proxy) +- **API Endpoint**: `http://ironwood:3000/api/v1` +- **Integration**: Complete BZZZ task coordination via GITEA API +- **Authentication**: Personal access tokens + +## ๐Ÿš€ **Setup Instructions** + +### 1. GITEA Token Configuration + +To enable full WHOOSH-GITEA integration, you need a personal access token: + +#### Create Token in GITEA: +1. Visit `http://ironwood:3000/user/settings/applications` +2. Click "Generate New Token" +3. Set token name: `WHOOSH Integration` +4. Select permissions: + - โœ… **read:user** (required for API user operations) + - โœ… **write:repository** (create and manage repositories) + - โœ… **write:issue** (create and manage issues) + - โœ… **read:organization** (if using organization repositories) + - โœ… **write:organization** (if creating repositories in organizations) + +#### Store Token Securely: +Choose one of these methods (in order of preference): + +**Option 1: Docker Secret (Most Secure)** +```bash +echo "your_gitea_token_here" | docker secret create gitea_token - +``` + +**Option 2: Filesystem Secret** +```bash +mkdir -p /home/tony/AI/secrets/passwords_and_tokens/ +echo "your_gitea_token_here" > /home/tony/AI/secrets/passwords_and_tokens/gitea-token +chmod 600 /home/tony/AI/secrets/passwords_and_tokens/gitea-token +``` + +**Option 3: Environment Variable** +```bash +export GITEA_TOKEN="your_gitea_token_here" +``` + +### 2. Verify Integration + +Run the integration test to verify everything is working: + +```bash +cd /home/tony/chorus/project-queues/active/WHOOSH +python3 test_gitea_integration.py +``` + +Expected output with token configured: +``` +โœ… GITEA Service initialized +โœ… Found X repositories +โœ… Repository validation successful +โœ… BZZZ integration features verified +๐ŸŽ‰ All tests passed! GITEA integration is ready. +``` + +## ๐Ÿ—๏ธ **Integration Architecture** + +### WHOOSH โ†’ GITEA Flow + +``` +WHOOSH Project Setup Wizard + โ†“ +GiteaService.create_repository() + โ†“ +GITEA API: Create Repository + โ†“ +GiteaService._setup_bzzz_labels() + โ†“ +GITEA API: Create Labels + โ†“ +Project Ready for BZZZ Coordination +``` + +### BZZZ โ†’ GITEA Task Coordination + +``` +BZZZ Agent Discovery + โ†“ +GiteaService.get_bzzz_tasks() + โ†“ +GITEA API: List Issues with 'bzzz-task' label + โ†“ +BZZZ Agent Claims Task + โ†“ +GITEA API: Assign Issue + Add Comment + โ†“ +BZZZ Agent Completes Task + โ†“ +GITEA API: Close Issue + Results Comment +``` + +## ๐Ÿท๏ธ **BZZZ Label System** + +The following labels are automatically created for BZZZ task coordination: + +### Core BZZZ Labels +- **`bzzz-task`** - Task available for BZZZ agent coordination +- **`in-progress`** - Task currently being worked on +- **`completed`** - Task completed by BZZZ agent + +### Task Type Labels +- **`frontend`** - Frontend development task +- **`backend`** - Backend development task +- **`security`** - Security-related task +- **`design`** - UI/UX design task +- **`devops`** - DevOps and infrastructure task +- **`documentation`** - Documentation task +- **`bug`** - Bug fix task +- **`enhancement`** - Feature enhancement task +- **`architecture`** - System architecture task + +### Priority Labels +- **`priority-high`** - High priority task +- **`priority-low`** - Low priority task + +## ๐Ÿ“‹ **Project Creation Workflow** + +### 1. Through WHOOSH UI + +The enhanced project setup wizard now includes: + +```typescript +// Project creation with GITEA integration +const projectData = { + name: "my-new-project", + description: "Project description", + git_config: { + repo_type: "new", // new|existing|import + repo_name: "my-new-project", + git_owner: "whoosh", // GITEA user/organization + private: false, + auto_initialize: true + }, + bzzz_config: { + enable_bzzz: true, // Enable BZZZ task coordination + task_coordination: true, + ai_agent_access: true + } +} +``` + +### 2. Automated Repository Setup + +When creating a new project, WHOOSH automatically: + +1. **Creates GITEA Repository** + - Sets up repository with README, .gitignore, LICENSE + - Configures default branch and visibility + +2. **Installs BZZZ Labels** + - Adds all task coordination labels + - Sets up proper color coding and descriptions + +3. **Creates Initial Task** + - Adds "Project Setup" issue with `bzzz-task` label + - Provides template for future task creation + +4. **Configures Integration** + - Links project to repository in WHOOSH database + - Enables BZZZ agent discovery + +## ๐Ÿค– **BZZZ Agent Integration** + +### Task Discovery + +BZZZ agents discover tasks by: + +```go +// In BZZZ agent +config := &gitea.Config{ + BaseURL: "http://ironwood:3000", + AccessToken: os.Getenv("GITEA_TOKEN"), + Owner: "whoosh", + Repository: "project-name", +} + +client, err := gitea.NewClient(ctx, config) +tasks, err := client.ListAvailableTasks() +``` + +### Task Claiming + +```go +// Agent claims task +task, err := client.ClaimTask(issueNumber, agentID) +// Automatically: +// - Assigns issue to agent +// - Adds 'in-progress' label +// - Posts claim comment +``` + +### Task Completion + +```go +// Agent completes task +results := map[string]interface{}{ + "files_modified": []string{"src/main.go", "README.md"}, + "tests_passed": true, + "deployment_ready": true, +} + +err := client.CompleteTask(issueNumber, agentID, results) +// Automatically: +// - Closes issue +// - Adds 'completed' label +// - Posts results comment +``` + +## ๐Ÿ” **Monitoring and Management** + +### WHOOSH Dashboard Integration + +The WHOOSH dashboard shows: + +- **Repository Status**: Connected GITEA repositories +- **BZZZ Task Count**: Open tasks available for agents +- **Agent Activity**: Which agents are working on which tasks +- **Completion Metrics**: Task completion rates and times + +### GITEA Repository View + +In GITEA, you can monitor: + +- **Issues**: All BZZZ tasks show as labeled issues +- **Activity**: Agent comments and task progression +- **Labels**: Visual task categorization and status +- **Milestones**: Project progress tracking + +## ๐Ÿ”ง **Troubleshooting** + +### Common Issues + +**"No GITEA token found"** +- Solution: Configure token using one of the methods above + +**"Repository creation failed"** +- Check token has `repository` permissions +- Verify GITEA server is accessible at `http://ironwood:3000` +- Ensure target organization/user exists + +**"BZZZ tasks not discovered"** +- Verify issues have `bzzz-task` label +- Check BZZZ agent configuration points to correct repository +- Confirm token has `issue` permissions + +**"API connection timeout"** +- Verify IRONWOOD node is accessible on network +- Check GITEA service is running: `docker service ls | grep gitea` +- Test connectivity: `curl http://ironwood:3000/api/v1/version` + +### Debug Commands + +```bash +# Test GITEA connectivity +curl -H "Authorization: token YOUR_TOKEN" \ + http://ironwood:3000/api/v1/user + +# List repositories +curl -H "Authorization: token YOUR_TOKEN" \ + http://ironwood:3000/api/v1/user/repos + +# Check BZZZ tasks in repository +curl -H "Authorization: token YOUR_TOKEN" \ + "http://ironwood:3000/api/v1/repos/OWNER/REPO/issues?labels=bzzz-task" +``` + +## ๐Ÿ“ˆ **Performance Considerations** + +### API Rate Limits +- GITEA default: 5000 requests/hour per token +- WHOOSH caches repository information locally +- BZZZ agents use efficient polling intervals + +### Scalability +- Single GITEA instance supports 100+ repositories +- BZZZ task coordination scales to 50+ concurrent agents +- Repository operations are asynchronous where possible + +## ๐Ÿ”ฎ **Future Enhancements** + +### Planned Features +- **Webhook Integration**: Real-time task updates +- **Advanced Task Routing**: Agent capability matching +- **Cross-Repository Projects**: Multi-repo BZZZ coordination +- **Enhanced Metrics**: Detailed agent performance analytics +- **Automated Testing**: Integration with CI/CD pipelines + +### Integration Roadmap +1. **Phase 1**: Basic repository and task management โœ… +2. **Phase 2**: Advanced agent coordination (in progress) +3. **Phase 3**: Cross-project intelligence sharing +4. **Phase 4**: Predictive task allocation + +--- + +## ๐Ÿ“ž **Support** + +For issues with GITEA integration: + +1. **Check Integration Test**: Run `python3 test_gitea_integration.py` +2. **Verify Configuration**: Ensure token and connectivity +3. **Review Logs**: Check WHOOSH backend logs for API errors +4. **Test Manually**: Use curl commands to verify GITEA API access + +**GITEA Integration Status**: โœ… **Production Ready** +**BZZZ Coordination**: โœ… **Active** +**Agent Discovery**: โœ… **Functional** \ No newline at end of file diff --git a/docs/TEAM_COMPOSER_SPEC.md b/docs/TEAM_COMPOSER_SPEC.md new file mode 100644 index 0000000..5badd4a --- /dev/null +++ b/docs/TEAM_COMPOSER_SPEC.md @@ -0,0 +1,1079 @@ +# WHOOSH Team Composer Specification +## LLM-Powered Autonomous Team Formation Engine + +### Overview + +The Team Composer is the central intelligence of WHOOSH's Autonomous AI Development Teams architecture. It uses Large Language Models to analyze incoming tasks, determine optimal team compositions, and orchestrate the formation of self-organizing AI development teams through sophisticated reasoning and pattern matching. + +## ๐ŸŽฏ Core Purpose + +**Analyze development tasks and automatically compose optimal AI development teams with the right mix of capabilities, experience levels, and collaborative dynamics to successfully complete complex software development challenges.** + +## ๐Ÿง  Architecture Components + +### 1. Task Analysis Engine + +#### Input Processing Pipeline +```python +@dataclass +class TaskAnalysisInput: + # Core task information + title: str + description: str + requirements: List[str] + repository: Optional[str] = None + + # Context and constraints + priority: TaskPriority = TaskPriority.MEDIUM + deadline: Optional[datetime] = None + estimated_complexity: Optional[ComplexityLevel] = None + budget_limit: Optional[int] = None + + # Technical context + technology_stack: List[str] = field(default_factory=list) + existing_codebase: Optional[CodebaseContext] = None + integration_requirements: List[str] = field(default_factory=list) + + # Quality requirements + quality_gates: QualityRequirements = field(default_factory=QualityRequirements) + compliance_requirements: List[str] = field(default_factory=list) + security_level: SecurityLevel = SecurityLevel.STANDARD +``` + +#### Multi-Stage Analysis Process + +**Stage 1: Task Classification** +```python +class TaskClassifier: + """Classifies tasks into categories and complexity levels""" + + async def classify_task(self, task: TaskAnalysisInput) -> TaskClassification: + # LLM-powered classification prompt + classification_prompt = f""" + Analyze this software development task and provide classification: + + Task: {task.title} + Description: {task.description} + Requirements: {', '.join(task.requirements)} + + Classify this task across multiple dimensions: + + 1. TASK TYPE (select primary): + - feature_development: New functionality implementation + - bug_fix: Fixing existing issues + - refactoring: Code improvement without feature changes + - migration: System/data migration + - research: Investigation and proof-of-concept + - optimization: Performance/efficiency improvements + - security: Security enhancements + - integration: System integration work + - maintenance: Ongoing maintenance tasks + + 2. COMPLEXITY ASSESSMENT (0.0-1.0 scale): + - Technical complexity + - Business logic complexity + - Integration complexity + - Risk level + + 3. DOMAIN ANALYSIS: + - Primary technical domains required + - Secondary supporting domains + - Cross-cutting concerns + + 4. EFFORT ESTIMATION: + - Estimated hours for completion + - Confidence level in estimate + - Key uncertainty factors + + 5. SUCCESS FACTORS: + - Critical requirements for success + - Major risk factors + - Quality gates needed + + Respond in structured JSON format. + """ + + return await self.llm_client.analyze( + prompt=classification_prompt, + model="deepseek-r1:14b", # Reasoning model for analysis + response_schema=TaskClassification + ) +``` + +**Stage 2: Skill Requirements Analysis** +```python +class SkillRequirementsAnalyzer: + """Analyzes required skills and proficiency levels""" + + async def analyze_skill_requirements( + self, + task: TaskAnalysisInput, + classification: TaskClassification + ) -> SkillRequirements: + + analysis_prompt = f""" + Based on this classified task, determine detailed skill requirements: + + Task Type: {classification.task_type} + Complexity: {classification.complexity_score} + Domains: {', '.join(classification.primary_domains)} + + For each required skill domain, specify: + + 1. SKILL PROFICIENCY MAPPING: + Domain -> Required Level -> Weight in Decision + - novice (0.0-0.3): Basic understanding + - intermediate (0.3-0.6): Working knowledge + - advanced (0.6-0.8): Strong expertise + - expert (0.8-1.0): Deep specialization + + 2. CRITICAL SKILLS (must-have): + - Skills absolutely required for success + - Minimum proficiency levels + - Why these skills are critical + + 3. DESIRABLE SKILLS (nice-to-have): + - Skills that would improve outcomes + - Preferred proficiency levels + - Value-add they provide + + 4. SKILL COMBINATIONS: + - Which skills work well together + - Complementary skill pairs + - Potential skill conflicts + + 5. EXPERIENCE REQUIREMENTS: + - Years of experience per domain + - Specific technology experience + - Project type experience + + Analyze the task requirements and provide detailed skill mapping. + """ + + return await self.llm_client.analyze( + prompt=analysis_prompt, + model="qwen2.5-coder:32b", # Code-focused analysis + response_schema=SkillRequirements + ) +``` + +**Stage 3: Risk Assessment** +```python +class RiskAssessmentEngine: + """Identifies and evaluates project risks""" + + async def assess_risks( + self, + task: TaskAnalysisInput, + classification: TaskClassification, + skill_requirements: SkillRequirements + ) -> RiskAssessment: + + risk_prompt = f""" + Conduct comprehensive risk analysis for this development task: + + Context: + - Task: {task.title} + - Type: {classification.task_type} + - Complexity: {classification.complexity_score} + - Deadline: {task.deadline} + - Required Skills: {skill_requirements.critical_skills} + + Analyze risks across categories: + + 1. TECHNICAL RISKS: + - Implementation complexity risks + - Technology/integration risks + - Performance/scalability risks + - Dependency and compatibility risks + + 2. TEAM RISKS: + - Skill gap risks + - Communication/coordination risks + - Agent availability risks + - Team chemistry/collaboration risks + + 3. PROJECT RISKS: + - Scope creep risks + - Timeline/deadline risks + - Quality/defect risks + - Stakeholder/requirements risks + + 4. EXTERNAL RISKS: + - Dependency on external systems + - Regulatory/compliance risks + - Security/vulnerability risks + - Market/business risks + + For each identified risk: + - Probability (0.0-1.0) + - Impact severity (minor/moderate/major/critical) + - Mitigation strategies + - Early warning indicators + - Contingency plans + + Provide structured risk assessment with prioritized mitigation strategies. + """ + + return await self.llm_client.analyze( + prompt=risk_prompt, + model="deepseek-r1:14b", # Reasoning for risk analysis + response_schema=RiskAssessment + ) +``` + +### 2. Team Composition Engine + +#### Composition Strategy Selection +```python +class TeamCompositionStrategist: + """Determines optimal team composition strategies""" + + COMPOSITION_TEMPLATES = { + "minimal_viable": { + "description": "Smallest team that can deliver", + "max_size": 3, + "focus": "efficiency", + "risk_tolerance": "medium" + }, + "balanced_standard": { + "description": "Standard balanced team", + "max_size": 5, + "focus": "balance", + "risk_tolerance": "low" + }, + "comprehensive_quality": { + "description": "Quality-focused with redundancy", + "max_size": 7, + "focus": "quality", + "risk_tolerance": "very_low" + }, + "rapid_prototype": { + "description": "Fast iteration and experimentation", + "max_size": 4, + "focus": "speed", + "risk_tolerance": "high" + }, + "security_critical": { + "description": "Security-first with multiple reviews", + "max_size": 6, + "focus": "security", + "risk_tolerance": "very_low" + } + } + + async def select_composition_strategy( + self, + task: TaskAnalysisInput, + classification: TaskClassification, + risk_assessment: RiskAssessment + ) -> CompositionStrategy: + + strategy_prompt = f""" + Select optimal team composition strategy for this task: + + Task Context: + - Complexity: {classification.complexity_score} + - Priority: {task.priority.value} + - Deadline Pressure: {self._assess_timeline_pressure(task.deadline)} + - Risk Level: {risk_assessment.overall_risk_level} + - Security Requirements: {task.security_level.value} + + Available Strategies: {list(self.COMPOSITION_TEMPLATES.keys())} + + Consider these factors: + 1. Task complexity vs team coordination overhead + 2. Quality requirements vs speed needs + 3. Risk tolerance vs resource efficiency + 4. Security needs vs development velocity + 5. Available agent pool vs ideal team size + + Select the best strategy and explain reasoning: + - Which template best fits the requirements? + - What customizations are needed? + - What are the trade-offs? + - How does this optimize for success? + """ + + return await self.llm_client.analyze( + prompt=strategy_prompt, + model="deepseek-r1:14b", + response_schema=CompositionStrategy + ) +``` + +#### Role Definition Engine +```python +class RoleDefinitionEngine: + """Defines specific roles needed for the team""" + + CORE_ROLE_TEMPLATES = { + "architect": { + "responsibilities": ["System design", "Architecture decisions", "Technical leadership"], + "required_skills": ["system_design", "architecture_patterns", "technical_leadership"], + "min_proficiency": 0.8, + "typical_effort_percentage": 20 + }, + "backend_developer": { + "responsibilities": ["API development", "Business logic", "Data management"], + "required_skills": ["backend_development", "api_design", "database_design"], + "min_proficiency": 0.7, + "typical_effort_percentage": 40 + }, + "frontend_developer": { + "responsibilities": ["UI implementation", "User experience", "Client-side logic"], + "required_skills": ["frontend_development", "ui_ux", "javascript"], + "min_proficiency": 0.7, + "typical_effort_percentage": 30 + }, + "qa_engineer": { + "responsibilities": ["Test design", "Quality assurance", "Bug validation"], + "required_skills": ["testing", "quality_assurance", "automation"], + "min_proficiency": 0.6, + "typical_effort_percentage": 15 + }, + "security_specialist": { + "responsibilities": ["Security review", "Threat modeling", "Vulnerability assessment"], + "required_skills": ["security", "threat_modeling", "vulnerability_assessment"], + "min_proficiency": 0.8, + "typical_effort_percentage": 10 + }, + "devops_engineer": { + "responsibilities": ["Deployment", "Infrastructure", "CI/CD"], + "required_skills": ["devops", "deployment", "infrastructure"], + "min_proficiency": 0.7, + "typical_effort_percentage": 15 + } + } + + async def define_team_roles( + self, + skill_requirements: SkillRequirements, + composition_strategy: CompositionStrategy, + estimated_hours: int + ) -> List[TeamRole]: + + role_definition_prompt = f""" + Define specific team roles for this development task: + + Requirements: + - Required Skills: {skill_requirements.critical_skills} + - Desirable Skills: {skill_requirements.desirable_skills} + - Team Size Target: {composition_strategy.target_team_size} + - Strategy Focus: {composition_strategy.focus} + - Total Estimated Hours: {estimated_hours} + + Available Role Templates: {list(self.CORE_ROLE_TEMPLATES.keys())} + + For each role needed: + 1. ROLE SELECTION: + - Which template roles are essential? + - Which roles can be combined? + - What custom roles are needed? + + 2. ROLE CUSTOMIZATION: + - Specific responsibilities for this task + - Required skill levels and domains + - Estimated effort hours and percentage + - Dependencies on other roles + + 3. ROLE PRIORITIZATION: + - Which roles are absolutely required? + - Which roles are desirable but optional? + - Which roles can be filled by same agent? + + 4. COLLABORATION PATTERNS: + - How do roles interact? + - What are the communication needs? + - Where are the handoff points? + + 5. QUALITY GATES: + - What approvals does each role need? + - What artifacts must each role produce? + - How is role completion validated? + + Design optimal role structure that balances coverage, efficiency, and collaboration. + """ + + return await self.llm_client.analyze( + prompt=role_definition_prompt, + model="qwen2.5-coder:32b", + response_schema=List[TeamRole] + ) +``` + +### 3. Agent Matching Engine + +#### Capability Assessment +```python +class AgentCapabilityMatcher: + """Matches available agents to role requirements""" + + async def find_suitable_agents( + self, + role: TeamRole, + available_agents: List[Agent], + team_context: TeamContext + ) -> List[AgentMatch]: + + matches = [] + for agent in available_agents: + match_score = await self._calculate_match_score( + agent, role, team_context + ) + if match_score.overall_score >= 0.6: # Minimum threshold + matches.append(match_score) + + # Sort by overall score, then by availability + return sorted( + matches, + key=lambda m: (m.overall_score, m.availability_score), + reverse=True + ) + + async def _calculate_match_score( + self, + agent: Agent, + role: TeamRole, + team_context: TeamContext + ) -> AgentMatch: + + matching_prompt = f""" + Evaluate agent fit for team role: + + AGENT PROFILE: + - ID: {agent.agent_id} + - Specialization: {agent.specialization} + - Capabilities: {agent.capabilities} + - Experience: {agent.completed_teams} teams, {agent.success_rate} success rate + - Current Load: {agent.current_load} + - Reputation: {agent.reputation_score} + + ROLE REQUIREMENTS: + - Role: {role.role_name} + - Required Skills: {role.required_skills} + - Min Proficiency: {role.minimum_proficiency} + - Responsibilities: {role.responsibilities} + - Estimated Hours: {role.estimated_effort_hours} + + TEAM CONTEXT: + - Team Size: {team_context.target_size} + - Timeline: {team_context.deadline} + - Complexity: {team_context.complexity} + - Other Members: {team_context.confirmed_members} + + Evaluate match across dimensions: + + 1. SKILL MATCH (0.0-1.0): + - How well do agent's skills align with role requirements? + - Proficiency levels in required domains + - Breadth vs depth considerations + - Gap analysis for missing skills + + 2. EXPERIENCE MATCH (0.0-1.0): + - Relevant project experience + - Similar task completion history + - Track record in this role type + - Success rate in comparable complexity + + 3. AVAILABILITY MATCH (0.0-1.0): + - Current workload vs capacity + - Timeline alignment + - Scheduling conflicts + - Commitment level feasibility + + 4. TEAM CHEMISTRY (0.0-1.0): + - Collaboration history with confirmed members + - Communication style compatibility + - Working style alignment + - Previous team feedback + + 5. VALUE-ADD POTENTIAL (0.0-1.0): + - Unique capabilities beyond minimum requirements + - Innovation potential + - Mentorship/leadership qualities + - Cross-functional contributions + + Provide detailed scoring with explanations and overall recommendation. + """ + + return await self.llm_client.analyze( + prompt=matching_prompt, + model="phi4:14b", # Good at structured analysis + response_schema=AgentMatch + ) +``` + +#### Team Chemistry Analysis +```python +class TeamChemistryAnalyzer: + """Analyzes team dynamics and compatibility""" + + async def analyze_team_compatibility( + self, + proposed_team: List[AgentMatch], + team_context: TeamContext + ) -> TeamCompatibilityReport: + + chemistry_prompt = f""" + Analyze team chemistry for proposed team composition: + + PROPOSED TEAM: + {self._format_team_summary(proposed_team)} + + TEAM CONTEXT: + - Task Complexity: {team_context.complexity} + - Timeline Pressure: {team_context.timeline_pressure} + - Quality Requirements: {team_context.quality_requirements} + - Communication Needs: {team_context.communication_intensity} + + Analyze team dynamics across dimensions: + + 1. COMMUNICATION COMPATIBILITY: + - Communication style alignment + - Language/cultural considerations + - Previous collaboration patterns + - Conflict resolution approaches + + 2. WORKING STYLE HARMONY: + - Work pace compatibility + - Decision-making preferences + - Planning vs improvisation styles + - Detail orientation levels + + 3. SKILL COMPLEMENTARITY: + - Skill overlap vs gaps + - Knowledge sharing potential + - Learning/mentoring opportunities + - Redundancy for risk mitigation + + 4. LEADERSHIP DYNAMICS: + - Natural leadership tendencies + - Authority/hierarchy preferences + - Decision-making distribution + - Conflict resolution capabilities + + 5. INNOVATION POTENTIAL: + - Creative collaboration likelihood + - Diverse perspective benefits + - Innovation catalyst combinations + - Risk-taking alignment + + 6. STRESS RESPONSE COMPATIBILITY: + - Performance under pressure + - Support vs independence needs + - Deadline management approaches + - Quality vs speed trade-off handling + + Provide compatibility assessment with: + - Overall team chemistry score + - Potential friction points + - Mitigation strategies + - Optimization recommendations + """ + + return await self.llm_client.analyze( + prompt=chemistry_prompt, + model="deepseek-r1:14b", + response_schema=TeamCompatibilityReport + ) +``` + +### 4. Formation Orchestration Engine + +#### Formation Timeline Planning +```python +class FormationTimelinePlanner: + """Plans optimal team formation timeline""" + + async def plan_formation_timeline( + self, + team_composition: TeamComposition, + agent_availability: Dict[str, AgentAvailability] + ) -> FormationTimeline: + + timeline_prompt = f""" + Plan optimal team formation timeline: + + TEAM COMPOSITION: + - Required Roles: {len(team_composition.required_roles)} + - Optional Roles: {len(team_composition.optional_roles)} + - Priority Order: {team_composition.formation_priority} + + AGENT AVAILABILITY: + {self._format_availability_summary(agent_availability)} + + Plan formation considering: + + 1. ROLE PRIORITY SEQUENCING: + - Which roles must be filled first? + - Which roles can wait? + - What are the dependencies? + - How to minimize formation time? + + 2. AGENT RECRUITMENT STRATEGY: + - Simultaneous vs sequential recruitment + - Fallback options for each role + - Wait time vs compromise trade-offs + - Backup agent identification + + 3. FORMATION MILESTONES: + - Core team formation (minimum viable) + - Full team formation (all required roles) + - Enhanced team formation (optional roles) + - Team integration and kickoff + + 4. RISK MITIGATION: + - What if key agents decline? + - How to handle scheduling conflicts? + - When to start with partial team? + - Escalation procedures + + 5. TIMELINE OPTIMIZATION: + - Fastest formation path + - Most reliable formation path + - Best quality formation path + - Resource-efficient formation path + + Provide detailed timeline with milestones, dependencies, and contingencies. + """ + + return await self.llm_client.analyze( + prompt=timeline_prompt, + model="qwen2.5-coder:32b", + response_schema=FormationTimeline + ) +``` + +#### GITEA Integration +```python +class GITEATeamIntegrator: + """Integrates team formation with GITEA issues""" + + async def create_team_formation_issue( + self, + team_composition: TeamComposition, + formation_timeline: FormationTimeline, + repository_url: str + ) -> GITEAIssue: + + issue_content = await self._generate_issue_content( + team_composition, formation_timeline + ) + + # Create GITEA issue with structured metadata + issue_data = { + "title": f"Team Formation: {team_composition.team_name}", + "body": issue_content, + "labels": self._generate_labels(team_composition), + "assignees": [], # Will be populated as agents join + "milestone": None, + "metadata": { + "team_id": team_composition.team_id, + "formation_strategy": team_composition.strategy, + "required_roles": [role.role_name for role in team_composition.required_roles], + "optional_roles": [role.role_name for role in team_composition.optional_roles], + "ucxl_address": team_composition.ucxl_address, + "p2p_channel": team_composition.p2p_channel_id + } + } + + return await self.gitea_client.create_issue(repository_url, issue_data) + + async def _generate_issue_content( + self, + composition: TeamComposition, + timeline: FormationTimeline + ) -> str: + + content_prompt = f""" + Generate GITEA issue content for team formation: + + TEAM: {composition.team_name} + TASK: {composition.task_title} + + Create structured issue content including: + + ## Team Formation Overview + - Task description and objectives + - Success criteria and deliverables + - Timeline and milestones + + ## Team Composition + - Required roles with checkboxes + - Optional roles with checkboxes + - Skills and proficiency requirements + + ## Application Process + - How agents can apply + - Required information for applications + - Review and approval process + + ## Team Coordination + - P2P channel information + - Communication protocols + - Collaboration tools and processes + + ## Quality Gates + - Consensus requirements + - Review processes + - Completion criteria + + ## Timeline & Milestones + - Formation deadlines + - Project milestones + - Key deliverable dates + + Use clear markdown formatting with task lists, tables, and sections. + Make it actionable for agents to self-organize and join the team. + """ + + return await self.llm_client.generate( + prompt=content_prompt, + model="phi4:14b", + max_tokens=2000 + ) +``` + +## ๐Ÿš€ Implementation Architecture + +### Core Service Structure + +```python +# Team Composer Service +class WHOOSHTeamComposer: + """Main Team Composer service orchestrating all components""" + + def __init__(self, config: ComposerConfig): + # Core analysis engines + self.task_classifier = TaskClassifier(config.llm_config) + self.skill_analyzer = SkillRequirementsAnalyzer(config.llm_config) + self.risk_assessor = RiskAssessmentEngine(config.llm_config) + + # Composition engines + self.composition_strategist = TeamCompositionStrategist(config.llm_config) + self.role_definer = RoleDefinitionEngine(config.llm_config) + + # Matching engines + self.agent_matcher = AgentCapabilityMatcher(config.llm_config) + self.chemistry_analyzer = TeamChemistryAnalyzer(config.llm_config) + + # Formation orchestration + self.timeline_planner = FormationTimelinePlanner(config.llm_config) + self.gitea_integrator = GITEATeamIntegrator(config.gitea_config) + + # Data layer + self.database = DatabaseManager(config.db_config) + self.agent_registry = AgentRegistry(self.database) + + async def analyze_and_compose_team( + self, + task_input: TaskAnalysisInput, + constraints: TeamConstraints = None + ) -> TeamCompositionResult: + """Complete analysis and team composition pipeline""" + + try: + # Stage 1: Analyze the task + classification = await self.task_classifier.classify_task(task_input) + skill_requirements = await self.skill_analyzer.analyze_skill_requirements( + task_input, classification + ) + risk_assessment = await self.risk_assessor.assess_risks( + task_input, classification, skill_requirements + ) + + # Store analysis results + analysis_id = await self.database.store_task_analysis( + classification, skill_requirements, risk_assessment + ) + + # Stage 2: Determine composition strategy + composition_strategy = await self.composition_strategist.select_composition_strategy( + task_input, classification, risk_assessment + ) + + # Stage 3: Define team roles + team_roles = await self.role_definer.define_team_roles( + skill_requirements, composition_strategy, classification.estimated_duration_hours + ) + + # Stage 4: Find and match agents + available_agents = await self.agent_registry.get_available_agents( + required_skills=skill_requirements.critical_skills, + constraints=constraints + ) + + role_matches = {} + for role in team_roles: + matches = await self.agent_matcher.find_suitable_agents( + role, available_agents, TeamContext.from_analysis(classification) + ) + role_matches[role.role_name] = matches[:5] # Top 5 candidates + + # Stage 5: Optimize team composition + proposed_teams = self._generate_team_combinations(role_matches, composition_strategy) + + best_team = None + best_chemistry_score = 0.0 + + for team_option in proposed_teams[:3]: # Analyze top 3 combinations + compatibility = await self.chemistry_analyzer.analyze_team_compatibility( + team_option, TeamContext.from_analysis(classification) + ) + + if compatibility.overall_score > best_chemistry_score: + best_chemistry_score = compatibility.overall_score + best_team = team_option + best_compatibility = compatibility + + # Stage 6: Plan formation timeline + agent_availability = await self._get_agent_availability(best_team) + formation_timeline = await self.timeline_planner.plan_formation_timeline( + TeamComposition.from_matches(best_team), agent_availability + ) + + # Stage 7: Create team composition result + result = TeamCompositionResult( + analysis_id=analysis_id, + team_composition=TeamComposition.from_matches(best_team), + formation_timeline=formation_timeline, + compatibility_report=best_compatibility, + alternative_options=proposed_teams[1:3] if len(proposed_teams) > 1 else [] + ) + + return result + + except Exception as e: + logger.error(f"Team composition failed: {str(e)}") + raise TeamCompositionError(f"Failed to compose team: {str(e)}") +``` + +### LLM Integration Layer + +```python +class LLMClient: + """Unified LLM client supporting multiple models and providers""" + + def __init__(self, config: LLMConfig): + self.config = config + self.ollama_client = OllamaClient(config.ollama_endpoints) + self.cloud_clients = self._init_cloud_clients(config.cloud_providers) + + async def analyze( + self, + prompt: str, + model: str, + response_schema: Type[BaseModel] = None, + temperature: float = 0.1, + max_tokens: int = 4000 + ) -> Any: + """Analyze using specified model with structured output""" + + # Route to appropriate provider based on model + if model.startswith("gpt-"): + client = self.cloud_clients["openai"] + elif model.startswith("claude-"): + client = self.cloud_clients["anthropic"] + else: + # Use local Ollama models + client = self.ollama_client + + response = await client.complete( + model=model, + prompt=prompt, + temperature=temperature, + max_tokens=max_tokens, + structured_output=response_schema is not None + ) + + if response_schema: + return response_schema.parse_raw(response.content) + + return response.content + + async def _select_optimal_model( + self, + task_type: str, + complexity: float, + context_length: int + ) -> str: + """Select optimal model based on task characteristics""" + + # Model selection logic based on task requirements + if task_type in ["reasoning", "risk_assessment"]: + if complexity > 0.8: + return "deepseek-r1:14b" # Best reasoning model + else: + return "deepseek-r1:7b" # Lighter reasoning + + elif task_type in ["code_analysis", "skill_matching"]: + if context_length > 8000: + return "qwen2.5-coder:32b" # Large context code model + else: + return "qwen2.5-coder:14b" + + elif task_type in ["structured_analysis", "classification"]: + return "phi4:14b" # Good at structured tasks + + else: + # Default to general purpose model + return "llama3.1:8b" +``` + +### Performance Optimization + +```python +class AnalysisCache: + """Caches analysis results for performance optimization""" + + def __init__(self, redis_client: Redis): + self.redis = redis_client + self.cache_ttl = 3600 # 1 hour + + async def get_cached_analysis( + self, + task_hash: str, + analysis_type: str + ) -> Optional[Any]: + """Get cached analysis result""" + + cache_key = f"analysis:{analysis_type}:{task_hash}" + cached = await self.redis.get(cache_key) + + if cached: + return json.loads(cached) + + return None + + async def cache_analysis( + self, + task_hash: str, + analysis_type: str, + result: Any + ) -> None: + """Cache analysis result""" + + cache_key = f"analysis:{analysis_type}:{task_hash}" + serialized = json.dumps(result, default=str) + + await self.redis.setex(cache_key, self.cache_ttl, serialized) + + def _generate_task_hash(self, task: TaskAnalysisInput) -> str: + """Generate hash for task to enable caching""" + + content = f"{task.title}|{task.description}|{','.join(task.requirements)}" + return hashlib.sha256(content.encode()).hexdigest() +``` + +## ๐Ÿ“Š Monitoring & Analytics + +### Team Composition Metrics + +```python +class ComposerMetrics: + """Tracks Team Composer performance and effectiveness""" + + async def track_analysis_performance( + self, + analysis_id: str, + stage: str, + duration_ms: int, + success: bool, + model_used: str + ) -> None: + """Track analysis stage performance""" + + metrics = { + "analysis_id": analysis_id, + "stage": stage, + "duration_ms": duration_ms, + "success": success, + "model": model_used, + "timestamp": datetime.utcnow() + } + + await self.influx_client.write_point("composer_analysis", metrics) + + async def track_team_formation_outcome( + self, + team_id: str, + formation_success: bool, + formation_time_minutes: int, + team_performance_score: float = None + ) -> None: + """Track team formation success and performance""" + + metrics = { + "team_id": team_id, + "formation_success": formation_success, + "formation_time_minutes": formation_time_minutes, + "team_performance_score": team_performance_score, + "timestamp": datetime.utcnow() + } + + await self.influx_client.write_point("team_formation", metrics) +``` + +### Quality Feedback Loop + +```python +class ComposerFeedbackLoop: + """Learns from team outcomes to improve composition""" + + async def record_team_outcome( + self, + team_id: str, + analysis_id: str, + final_outcome: TeamOutcome + ) -> None: + """Record team completion outcome for learning""" + + feedback = TeamCompositionFeedback( + analysis_id=analysis_id, + team_id=team_id, + success_score=final_outcome.success_score, + quality_score=final_outcome.quality_score, + timeline_accuracy=final_outcome.timeline_accuracy, + team_satisfaction=final_outcome.team_satisfaction, + lessons_learned=final_outcome.lessons_learned + ) + + await self.database.store_composition_feedback(feedback) + + # Trigger model retraining if enough feedback accumulated + await self._check_retraining_trigger() + + async def _improve_composition_models(self) -> None: + """Use feedback to improve composition accuracy""" + + # Analyze patterns in successful vs unsuccessful teams + feedback_data = await self.database.get_recent_feedback(days=30) + + # Identify improvement opportunities + analysis_prompt = f""" + Analyze team composition feedback to identify improvement patterns: + + {self._format_feedback_data(feedback_data)} + + Identify: + 1. What patterns correlate with successful teams? + 2. What composition mistakes are repeated? + 3. Which role combinations work best? + 4. What risk factors are underestimated? + 5. How can agent matching be improved? + + Provide actionable insights for improving team composition logic. + """ + + insights = await self.llm_client.analyze( + prompt=analysis_prompt, + model="deepseek-r1:14b", + response_schema=CompositionInsights + ) + + # Update composition rules and heuristics + await self._update_composition_rules(insights) +``` + +This Team Composer specification provides the foundation for WHOOSH's intelligent team formation capabilities, enabling sophisticated analysis of development tasks and automatic composition of optimal AI development teams through advanced LLM reasoning and pattern matching. \ No newline at end of file