Integrate Bzzz P2P task coordination and enhance project management
🔗 Bzzz Integration: - Added comprehensive Bzzz integration documentation and todos - Implemented N8N chat workflow architecture for task coordination - Enhanced project management with Bzzz-specific features - Added GitHub service for seamless issue synchronization - Created BzzzIntegration component for frontend management 🎯 Project Management Enhancements: - Improved project listing and filtering capabilities - Enhanced authentication and authorization flows - Added unified coordinator for better task orchestration - Streamlined project activation and configuration - Updated API endpoints for Bzzz compatibility 📊 Technical Improvements: - Updated Docker Swarm configuration for local registry - Enhanced frontend build with updated assets - Improved WebSocket connections for real-time updates - Added comprehensive error handling and logging - Updated environment configurations for production ✅ System Integration: - Successfully tested with Bzzz v1.2 task execution workflow - Validated GitHub issue discovery and claiming functionality - Confirmed sandbox-based task execution compatibility - Verified Docker registry integration This release enables seamless integration between Hive project management and Bzzz P2P task coordination, creating a complete distributed development ecosystem. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
anthonyrawlins
436
BZZZ_N8N_CHAT_WORKFLOW_ARCHITECTURE.md
Normal file
436
BZZZ_N8N_CHAT_WORKFLOW_ARCHITECTURE.md
Normal file
@@ -0,0 +1,436 @@
|
||||
# Bzzz P2P Mesh Chat N8N Workflow Architecture
|
||||
|
||||
**Date**: 2025-07-13
|
||||
**Author**: Claude Code
|
||||
**Purpose**: Design and implement N8N workflow for chatting with bzzz P2P mesh and monitoring antennae meta-thinking
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Project Overview
|
||||
|
||||
This document outlines the architecture for creating an N8N workflow that enables real-time chat interaction with the bzzz P2P mesh network, providing a consolidated response from distributed AI agents and monitoring their meta-cognitive processes.
|
||||
|
||||
### **Core Objectives**
|
||||
|
||||
1. **Chat Interface**: Enable natural language queries to the bzzz P2P mesh
|
||||
2. **Consolidated Response**: Aggregate and synthesize responses from multiple bzzz nodes
|
||||
3. **Meta-Thinking Monitoring**: Track and log inter-node communication via antennae
|
||||
4. **Real-time Coordination**: Orchestrate distributed AI agent collaboration
|
||||
|
||||
---
|
||||
|
||||
## 🏗️ Architecture Overview
|
||||
|
||||
### **System Components**
|
||||
|
||||
```mermaid
|
||||
graph TB
|
||||
User[User Chat Query] --> N8N[N8N Workflow Engine]
|
||||
N8N --> HiveAPI[Hive Backend API]
|
||||
HiveAPI --> BzzzMesh[Bzzz P2P Mesh]
|
||||
BzzzMesh --> Nodes[AI Agent Nodes]
|
||||
Nodes --> Antennae[Inter-Node Antennae]
|
||||
Antennae --> Logging[Meta-Thinking Logs]
|
||||
Logging --> Monitor[Real-time Monitoring]
|
||||
N8N --> Response[Consolidated Response]
|
||||
```
|
||||
|
||||
### **Current Infrastructure Leveraging**
|
||||
|
||||
**✅ Existing Components**:
|
||||
- **Hive Backend API**: Complete bzzz integration endpoints
|
||||
- **Agent Network**: 6 specialized AI agents (ACACIA, WALNUT, IRONWOOD, ROSEWOOD, OAK, TULLY)
|
||||
- **Authentication**: GitHub tokens and N8N API keys configured
|
||||
- **Database**: PostgreSQL with project and task management
|
||||
- **Frontend**: Real-time bzzz task monitoring interface
|
||||
|
||||
---
|
||||
|
||||
## 🔧 N8N Workflow Architecture
|
||||
|
||||
### **Workflow 1: Bzzz Chat Orchestrator**
|
||||
|
||||
**Purpose**: Main chat interface workflow for user interaction
|
||||
|
||||
**Components**:
|
||||
|
||||
1. **Webhook Trigger** (`/webhook/bzzz-chat`)
|
||||
- Accepts user chat queries
|
||||
- Validates authentication
|
||||
- Logs conversation start
|
||||
|
||||
2. **Query Analysis Node**
|
||||
- Parses user intent and requirements
|
||||
- Determines optimal agent specializations needed
|
||||
- Creates task distribution strategy
|
||||
|
||||
3. **Agent Discovery** (`GET /api/bzzz/active-repos`)
|
||||
- Fetches available bzzz-enabled nodes
|
||||
- Checks agent availability and specializations
|
||||
- Prioritizes agents based on query type
|
||||
|
||||
4. **Task Distribution** (`POST /api/bzzz/projects/{id}/claim`)
|
||||
- Creates subtasks for relevant agents
|
||||
- Assigns tasks based on specialization:
|
||||
- **ACACIA**: Infrastructure/DevOps queries
|
||||
- **WALNUT**: Full-stack development questions
|
||||
- **IRONWOOD**: Backend/API questions
|
||||
- **ROSEWOOD**: Testing/QA queries
|
||||
- **OAK**: iOS/macOS development
|
||||
- **TULLY**: Mobile/Game development
|
||||
|
||||
5. **Parallel Agent Execution**
|
||||
- Triggers simultaneous processing on selected nodes
|
||||
- Monitors task progress via status endpoints
|
||||
- Handles timeouts and error recovery
|
||||
|
||||
6. **Response Aggregation**
|
||||
- Collects responses from all active agents
|
||||
- Weights responses by agent specialization relevance
|
||||
- Detects conflicting information
|
||||
|
||||
7. **Response Synthesis**
|
||||
- Uses meta-AI to consolidate multiple responses
|
||||
- Creates unified, coherent answer
|
||||
- Maintains source attribution
|
||||
|
||||
8. **Response Delivery**
|
||||
- Returns consolidated response to user
|
||||
- Logs conversation completion
|
||||
- Triggers antennae monitoring workflow
|
||||
|
||||
### **Workflow 2: Antennae Meta-Thinking Monitor**
|
||||
|
||||
**Purpose**: Monitor and log inter-node communication patterns
|
||||
|
||||
**Components**:
|
||||
|
||||
1. **Event Stream Listener**
|
||||
- Monitors Socket.IO events from Hive backend
|
||||
- Listens for agent-to-agent communications
|
||||
- Captures meta-thinking patterns
|
||||
|
||||
2. **Communication Pattern Analysis**
|
||||
- Analyzes inter-node message flows
|
||||
- Identifies collaboration patterns
|
||||
- Detects emergent behaviors
|
||||
|
||||
3. **Antennae Data Collector**
|
||||
- Gathers "between-the-lines" reasoning
|
||||
- Captures agent uncertainty expressions
|
||||
- Logs consensus-building processes
|
||||
|
||||
4. **Meta-Thinking Logger**
|
||||
- Stores antennae data in structured format
|
||||
- Creates searchable meta-cognition database
|
||||
- Enables pattern discovery over time
|
||||
|
||||
5. **Real-time Dashboard Updates**
|
||||
- Sends monitoring data to frontend
|
||||
- Updates real-time visualization
|
||||
- Triggers alerts for interesting patterns
|
||||
|
||||
### **Workflow 3: Bzzz Task Status Synchronizer**
|
||||
|
||||
**Purpose**: Keep task status synchronized across the mesh
|
||||
|
||||
**Components**:
|
||||
|
||||
1. **Status Polling** (Every 30 seconds)
|
||||
- Checks task status across all nodes
|
||||
- Updates central coordination database
|
||||
- Detects status changes
|
||||
|
||||
2. **GitHub Integration**
|
||||
- Updates GitHub issue assignees
|
||||
- Syncs task completion status
|
||||
- Maintains audit trail
|
||||
|
||||
3. **Conflict Resolution**
|
||||
- Handles multiple agents claiming same task
|
||||
- Implements priority-based resolution
|
||||
- Ensures task completion tracking
|
||||
|
||||
---
|
||||
|
||||
## 🔗 API Integration Points
|
||||
|
||||
### **Hive Backend Endpoints**
|
||||
|
||||
```yaml
|
||||
Endpoints:
|
||||
- GET /api/bzzz/active-repos # Discovery
|
||||
- GET /api/bzzz/projects/{id}/tasks # Task listing
|
||||
- POST /api/bzzz/projects/{id}/claim # Task claiming
|
||||
- PUT /api/bzzz/projects/{id}/status # Status updates
|
||||
|
||||
Authentication:
|
||||
- GitHub Token: /home/tony/AI/secrets/passwords_and_tokens/gh-token
|
||||
- N8N API Key: /home/tony/AI/secrets/api_keys/n8n-API-KEY-for-Claude-Code.txt
|
||||
```
|
||||
|
||||
### **Agent Network Endpoints**
|
||||
|
||||
```yaml
|
||||
Agent_Nodes:
|
||||
ACACIA: 192.168.1.72:11434 # Infrastructure specialist
|
||||
WALNUT: 192.168.1.27:11434 # Full-stack developer
|
||||
IRONWOOD: 192.168.1.113:11434 # Backend specialist
|
||||
ROSEWOOD: 192.168.1.132:11434 # QA specialist
|
||||
OAK: oak.local:11434 # iOS/macOS development
|
||||
TULLY: Tullys-MacBook-Air.local:11434 # Mobile/Game dev
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📊 Data Flow Architecture
|
||||
|
||||
### **Chat Query Processing**
|
||||
|
||||
```
|
||||
User Query → N8N Webhook → Query Analysis → Agent Selection →
|
||||
Task Distribution → Parallel Execution → Response Collection →
|
||||
Synthesis → Consolidated Response → User
|
||||
```
|
||||
|
||||
### **Meta-Thinking Monitoring**
|
||||
|
||||
```
|
||||
Agent Communications → Antennae Capture → Pattern Analysis →
|
||||
Meta-Cognition Logging → Real-time Dashboard → Insights Discovery
|
||||
```
|
||||
|
||||
### **Data Models**
|
||||
|
||||
```typescript
|
||||
interface BzzzChatQuery {
|
||||
query: string;
|
||||
user_id: string;
|
||||
timestamp: Date;
|
||||
session_id: string;
|
||||
context?: any;
|
||||
}
|
||||
|
||||
interface BzzzResponse {
|
||||
agent_id: string;
|
||||
response: string;
|
||||
confidence: number;
|
||||
reasoning: string;
|
||||
timestamp: Date;
|
||||
meta_thinking?: AntennaeData;
|
||||
}
|
||||
|
||||
interface AntennaeData {
|
||||
inter_agent_messages: Message[];
|
||||
uncertainty_expressions: string[];
|
||||
consensus_building: ConsensusStep[];
|
||||
emergent_patterns: Pattern[];
|
||||
}
|
||||
|
||||
interface ConsolidatedResponse {
|
||||
synthesis: string;
|
||||
source_agents: string[];
|
||||
confidence_score: number;
|
||||
meta_insights: AntennaeInsight[];
|
||||
reasoning_chain: string[];
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Implementation Strategy
|
||||
|
||||
### **Phase 1: Basic Chat Workflow**
|
||||
1. Create webhook endpoint for chat queries
|
||||
2. Implement agent discovery and selection
|
||||
3. Build task distribution mechanism
|
||||
4. Create response aggregation logic
|
||||
5. Test with simple queries
|
||||
|
||||
### **Phase 2: Response Synthesis**
|
||||
1. Implement advanced response consolidation
|
||||
2. Add conflict resolution for competing answers
|
||||
3. Create quality scoring system
|
||||
4. Build source attribution system
|
||||
|
||||
### **Phase 3: Antennae Monitoring**
|
||||
1. Implement Socket.IO event monitoring
|
||||
2. Create meta-thinking capture system
|
||||
3. Build pattern analysis algorithms
|
||||
4. Design real-time visualization
|
||||
|
||||
### **Phase 4: Advanced Features**
|
||||
1. Add conversation context persistence
|
||||
2. Implement learning from past interactions
|
||||
3. Create predictive agent selection
|
||||
4. Build autonomous task optimization
|
||||
|
||||
---
|
||||
|
||||
## 🔧 Technical Implementation Details
|
||||
|
||||
### **N8N Workflow Configuration**
|
||||
|
||||
**Authentication Setup**:
|
||||
```json
|
||||
{
|
||||
"github_token": "${gh_token}",
|
||||
"n8n_api_key": "${n8n_api_key}",
|
||||
"hive_api_base": "https://hive.home.deepblack.cloud/api"
|
||||
}
|
||||
```
|
||||
|
||||
**Webhook Configuration**:
|
||||
```json
|
||||
{
|
||||
"method": "POST",
|
||||
"path": "/webhook/bzzz-chat",
|
||||
"authentication": "header",
|
||||
"headers": {
|
||||
"Authorization": "Bearer ${n8n_api_key}"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Error Handling Strategy**:
|
||||
- Retry failed agent communications (3 attempts)
|
||||
- Fallback to subset of agents if some unavailable
|
||||
- Graceful degradation for partial responses
|
||||
- Comprehensive logging for debugging
|
||||
|
||||
### **Database Schema Extensions**
|
||||
|
||||
```sql
|
||||
-- Bzzz chat conversations
|
||||
CREATE TABLE bzzz_conversations (
|
||||
id UUID PRIMARY KEY,
|
||||
user_id VARCHAR(255),
|
||||
query TEXT,
|
||||
consolidated_response TEXT,
|
||||
session_id VARCHAR(255),
|
||||
created_at TIMESTAMP,
|
||||
meta_thinking_data JSONB
|
||||
);
|
||||
|
||||
-- Antennae monitoring data
|
||||
CREATE TABLE antennae_logs (
|
||||
id UUID PRIMARY KEY,
|
||||
conversation_id UUID REFERENCES bzzz_conversations(id),
|
||||
agent_id VARCHAR(255),
|
||||
meta_data JSONB,
|
||||
pattern_type VARCHAR(100),
|
||||
timestamp TIMESTAMP
|
||||
);
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎛️ Monitoring & Observability
|
||||
|
||||
### **Real-time Metrics**
|
||||
- Active agent count
|
||||
- Query response times
|
||||
- Agent utilization rates
|
||||
- Meta-thinking pattern frequency
|
||||
- Consensus building success rate
|
||||
|
||||
### **Dashboard Components**
|
||||
- Live agent status grid
|
||||
- Query/response flow visualization
|
||||
- Antennae activity heatmap
|
||||
- Meta-thinking pattern trends
|
||||
- Performance analytics
|
||||
|
||||
### **Alerting Rules**
|
||||
- Agent disconnection alerts
|
||||
- Response time degradation
|
||||
- Unusual meta-thinking patterns
|
||||
- Failed consensus building
|
||||
- System resource constraints
|
||||
|
||||
---
|
||||
|
||||
## 🛡️ Security Considerations
|
||||
|
||||
### **Authentication**
|
||||
- N8N API key validation for webhook access
|
||||
- GitHub token management for private repos
|
||||
- Rate limiting for chat queries
|
||||
- Session management for conversations
|
||||
|
||||
### **Data Protection**
|
||||
- Encrypt sensitive conversation data
|
||||
- Sanitize meta-thinking logs
|
||||
- Implement data retention policies
|
||||
- Audit trail for all interactions
|
||||
|
||||
---
|
||||
|
||||
## 🔮 Future Expansion Opportunities
|
||||
|
||||
### **Enhanced Meta-Thinking Analysis**
|
||||
- Machine learning pattern recognition
|
||||
- Predictive consensus modeling
|
||||
- Emergent behavior detection
|
||||
- Cross-conversation learning
|
||||
|
||||
### **Advanced Chat Features**
|
||||
- Multi-turn conversation support
|
||||
- Context-aware follow-up questions
|
||||
- Proactive information gathering
|
||||
- Intelligent query refinement
|
||||
|
||||
### **Integration Expansion**
|
||||
- External knowledge base integration
|
||||
- Third-party AI service orchestration
|
||||
- Real-time collaboration tools
|
||||
- Advanced visualization systems
|
||||
|
||||
---
|
||||
|
||||
## 📋 Implementation Checklist
|
||||
|
||||
### **Preparation**
|
||||
- [ ] Verify N8N API access and credentials
|
||||
- [ ] Test Hive backend bzzz endpoints
|
||||
- [ ] Confirm agent network connectivity
|
||||
- [ ] Set up development webhook endpoint
|
||||
|
||||
### **Development**
|
||||
- [ ] Create basic chat webhook workflow
|
||||
- [ ] Implement agent discovery mechanism
|
||||
- [ ] Build task distribution logic
|
||||
- [ ] Create response aggregation system
|
||||
- [ ] Develop synthesis algorithm
|
||||
|
||||
### **Testing**
|
||||
- [ ] Test single-agent interactions
|
||||
- [ ] Validate multi-agent coordination
|
||||
- [ ] Verify response quality
|
||||
- [ ] Test error handling scenarios
|
||||
- [ ] Performance and load testing
|
||||
|
||||
### **Deployment**
|
||||
- [ ] Deploy to N8N production instance
|
||||
- [ ] Configure monitoring dashboards
|
||||
- [ ] Set up alerting systems
|
||||
- [ ] Document usage procedures
|
||||
- [ ] Train users on chat interface
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Success Metrics
|
||||
|
||||
### **Functional Metrics**
|
||||
- **Response Time**: < 30 seconds for complex queries
|
||||
- **Agent Participation**: > 80% of available agents respond
|
||||
- **Response Quality**: User satisfaction > 85%
|
||||
- **System Uptime**: > 99.5% availability
|
||||
|
||||
### **Meta-Thinking Metrics**
|
||||
- **Pattern Detection**: Identify 10+ unique collaboration patterns
|
||||
- **Consensus Tracking**: Monitor 100% of multi-agent decisions
|
||||
- **Insight Generation**: Produce actionable insights weekly
|
||||
- **Learning Acceleration**: Demonstrate improvement over time
|
||||
|
||||
This architecture provides a robust foundation for creating sophisticated N8N workflows that enable seamless interaction with the bzzz P2P mesh while capturing and analyzing the fascinating meta-cognitive processes that emerge from distributed AI collaboration.
|
||||
Reference in New Issue
Block a user