- Implement Autonomous Workflow Engine with dynamic task decomposition - Add Multi-Agent Communication Protocol with message routing - Create Enhanced Reasoning Chains (CoT, ToT, Multi-Step, Parallel, Hybrid) - Add comprehensive REST API endpoints for all Week 5 features - Include 26/26 passing tests with full coverage - Add complete documentation and API guides - Update development plan to mark Week 5 as completed Features: - Dynamic task decomposition and parallel execution - Agent registration, messaging, and coordination - 5 reasoning methods with validation and learning - Robust error handling and monitoring - Multi-tenant support and security - Production-ready architecture Files added/modified: - app/services/autonomous_workflow_engine.py - app/services/agent_communication.py - app/services/enhanced_reasoning.py - app/api/v1/endpoints/week5_features.py - tests/test_week5_features.py - docs/week5_api_documentation.md - docs/week5_readme.md - WEEK5_COMPLETION_SUMMARY.md - DEVELOPMENT_PLAN.md (updated) All tests passing: 26/26
21 lines
415 B
Python
21 lines
415 B
Python
"""
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Data models for the Virtual Board Member AI System.
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"""
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from .user import User
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from .tenant import Tenant
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from .document import Document, DocumentVersion, DocumentTag
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from .commitment import Commitment, CommitmentStatus
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from .audit_log import AuditLog
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__all__ = [
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"User",
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"Tenant",
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"Document",
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"DocumentVersion",
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"DocumentTag",
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"Commitment",
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"CommitmentStatus",
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"AuditLog",
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]
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