Architecture Phase: COMPLETE ✅

Swarm ID: swarm_1764655531178_udtox74dx Agent: System Architecture Designer Date: 2025-12-01 Status: Ready for Implementation

📦 Deliverables Summary

1. Main Architecture Document

Location: /docs/architecture/ai-agent-v2-design.md

Contents:

Executive Summary
System Overview (diagrams)
Architecture Principles (SOLID, separation of concerns)
Module Specifications (5 core modules)
Data Flow Architecture
API Contracts (TypeScript-style interfaces)
Integration Plan (7-phase, 4-week timeline)
Technology Decisions (7 ADRs)
File Structure (complete directory tree)
Dependency Graph
Non-Functional Requirements (performance, security, reliability)
Migration Strategy (v1.0 → v2.0)
Appendices (workflows, ADR template, testing strategy)

Key Sections:

12 major sections
6,000+ lines of documentation
ASCII diagrams for all major flows
Complete API specifications

2. Module Specifications

Location: /swarm/ai-agent-v2/architect/module-specifications.md

Contents:

Detailed TaskPlanner implementation
Detailed ChangePreview implementation
Detailed RuVectorBridge implementation
Complete code examples with JSDoc
Intent pattern configurations
Error handling patterns

Purpose: Implementation guide for coder agents

3. Integration Summary

Location: /swarm/ai-agent-v2/architect/integration-summary.md

Contents:

Integration strategy overview
5 key integration points (with code examples)
Module interaction matrix
Configuration management
Error handling strategy
Testing integration
Performance considerations
Security considerations
Deployment checklist

Purpose: Guide for integrating all modules together

4. Quick Reference Guide

Location: /swarm/ai-agent-v2/architect/quick-reference.md

Contents:

Core concepts (v1.0 vs v2.0)
Module quick reference
Common workflows (3 examples)
Testing patterns
Error handling patterns
Debugging tips
Code style guide
File locations
Implementation checklist
Success metrics

Purpose: Quick lookup for developers during implementation

🏗️ Architecture Highlights

Core Design Decisions

Layered Plugin Architecture
- Orchestration Layer (TaskPlanner, ApprovalWorkflow)
- Intelligence Layer (RuVector, SiteContext, Memory)
- Foundation Layer (LangChain, File Ops)
Separation of Concerns
- Planning ≠ Execution
- Preview ≠ Action
- Context ≠ Logic
Safety-First Design
- Mandatory preview before execution
- Explicit user approval required
- Rollback capability for all operations
- Schema validation before writes
Progressive Enhancement
- Works without RuVector (fallback mode)
- Graceful degradation when modules fail
- Backward compatible with v1.0
Extensibility
- Plugin architecture for intent handlers
- Clear interfaces for all modules
- Easy to add new functionality

📊 System Architecture Overview

User Input
    ↓
┌─────────────────────────────────────────┐
│ ORCHESTRATION LAYER                     │
│ ┌─────────┐  ┌─────────┐  ┌─────────┐ │
│ │ Task    │→ │ Change  │→ │Approval │ │
│ │ Planner │  │ Preview │  │Workflow │ │
│ └─────────┘  └─────────┘  └─────────┘ │
└──────────────────┬──────────────────────┘
                   ↓
┌─────────────────────────────────────────┐
│ INTELLIGENCE LAYER                      │
│ ┌──────────┐  ┌──────────┐  ┌────────┐│
│ │ RuVector │  │   Site   │  │ Memory ││
│ │  Bridge  │  │ Context  │  │        ││
│ └──────────┘  └──────────┘  └────────┘│
└──────────────────┬──────────────────────┘
                   ↓
┌─────────────────────────────────────────┐
│ FOUNDATION LAYER                        │
│ ┌──────────┐  ┌──────────┐  ┌────────┐│
│ │LangChain │  │ Vector   │  │RuVector││
│ │  Agent   │  │  Store   │  │Engines ││
│ └──────────┘  └──────────┘  └────────┘│
└─────────────────────────────────────────┘

🎯 Key Quality Attributes

Attribute	Target	Implementation
Safety	100% preview	Mandatory ChangePreview + Approval
Performance	<3s response	Async ops, caching
Reliability	99% uptime	Error handling, graceful degradation
Usability	90% task success	Interactive previews, clear messages
Maintainability	90% test coverage	Unit + integration tests
Extensibility	Plugin arch	Clear interfaces, dependency injection

📋 Implementation Roadmap

Phase 1: Foundation (Week 1)

Architecture design
Module structure setup
TypeScript interfaces
Integration test framework

Phase 2: Task Planning (Week 2)

Phase 3: Change Preview (Week 2)

Phase 4: RuVector Integration (Week 3)

Phase 5: Site Context (Week 3)

Phase 6: Approval Workflow (Week 4)

Phase 7: Integration (Week 4)

🔗 Dependencies

External Libraries

{
  "dependencies": {
    "@langchain/anthropic": "^0.3.0",
    "@langchain/core": "^0.3.0",
    "@langchain/langgraph": "^0.2.0",
    "chalk": "^5.3.0",
    "dotenv": "^16.4.5",
    "js-yaml": "^4.1.0",
    "diff": "^5.1.0",
    "fs-extra": "^11.2.0",
    "glob": "^10.3.10",
    "ajv": "^8.12.0"
  },
  "devDependencies": {
    "mocha": "^10.3.0",
    "chai": "^5.0.0",
    "sinon": "^17.0.1",
    "nyc": "^15.1.0",
    "typescript": "^5.3.3",
    "@types/node": "^20.11.5",
    "eslint": "^8.56.0",
    "prettier": "^3.2.4"
  }
}

Internal Dependencies

Existing: AgentMemory, VectorStore (ai-agent-simple/)
Existing: RuVector modules (assets/js/ruvector/)
New: All v2.0 modules (ai-agent-v2/modules/)

🧪 Testing Strategy

Coverage Targets

Component	Target	Type
TaskPlanner	95%	Unit + Integration
ChangePreview	95%	Unit
RuVectorBridge	90%	Integration
SiteContext	90%	Unit
ApprovalWorkflow	95%	Unit + Integration
Overall	90%+	All

Test Types

Unit Tests
- Each module tested in isolation
- Mock all external dependencies
- Fast execution (<5s total)
Integration Tests
- Module interactions
- RuVector integration
- Memory integration
End-to-End Tests
- Complete workflows
- Real file operations (test fixtures)
- User interaction simulation

🚀 Next Steps

For Coder Agents

Read Architecture Docs
- Main: /docs/architecture/ai-agent-v2-design.md
- Specs: /swarm/ai-agent-v2/architect/module-specifications.md

Setup Development Environment

cd ai-agent-v2
npm install
npm run test:watch  # Watch mode for TDD

Start with TaskPlanner
- Implement intent parser first
- Add tests as you go
- Follow TDD approach
Coordinate via Swarm
- Store work in /swarm/ai-agent-v2/coder/{module}/
- Update shared memory with progress
- Review each other’s code

For Reviewer Agents

Review Architecture
- Check for design flaws
- Validate against requirements
- Suggest improvements
Review Implementations
- Check code against specifications
- Verify test coverage
- Check error handling
Integration Review
- Verify module interactions
- Check data flow correctness
- Test end-to-end scenarios

For Tester Agents

Create Test Plans
- Unit test plan for each module
- Integration test scenarios
- E2E test workflows
Implement Tests
- Write tests before implementation (TDD)
- Mock external dependencies
- Test error conditions
Performance Testing
- Benchmark each module
- Test under load
- Identify bottlenecks

📈 Success Criteria

The architecture is considered successful if:

✅ All modules implement specified interfaces ✅ Test coverage exceeds 90% ✅ Performance targets met (<3s workflows) ✅ Security audit passes (no vulnerabilities) ✅ User feedback is positive (>80% satisfaction) ✅ Migration from v1.0 is smooth (no data loss) ✅ Documentation is complete and clear

📞 Contact & Support

Questions?

For architecture questions, consult:

This summary document
Main architecture doc (/docs/architecture/ai-agent-v2-design.md)
Integration summary (/swarm/ai-agent-v2/architect/integration-summary.md)
Quick reference (/swarm/ai-agent-v2/architect/quick-reference.md)

Issues?

If you find design issues:

Document the issue clearly
Propose alternative design
Create ADR (Architecture Decision Record)
Update relevant documentation

🎉 Architecture Complete

The architecture design phase is complete. All necessary documentation, specifications, diagrams, and integration guides have been created.

Status: ✅ Ready for implementation Next Phase: Coding (TaskPlanner first) Estimated Timeline: 4 weeks to full v2.0 release

Architect: System Architecture Designer Swarm: swarm_1764655531178_udtox74dx Date: 2025-12-01 Sign-off: Architecture phase complete and approved for implementation

📚 Document Index

Main Architecture → /docs/architecture/ai-agent-v2-design.md (6000+ lines)
Module Specs → /swarm/ai-agent-v2/architect/module-specifications.md (detailed implementation)
Integration Guide → /swarm/ai-agent-v2/architect/integration-summary.md (patterns & examples)
Quick Reference → /swarm/ai-agent-v2/architect/quick-reference.md (developer guide)
This Summary → /swarm/ai-agent-v2/architect/ARCHITECTURE_COMPLETE.md (you are here)

Happy Coding! 🚀