🔄 Iterative Help Agent Development

🎯 The Smart Approach: Private → Test → Tune → Public

You're absolutely right! Start with a private agent in your account, perfect it, then make it public. This is much smarter than jumping straight to global.

🛠️ Phase 1: Private Development (Your Account)

Step 1: Create Private Help Agent (5 minutes)

// Use existing agent creation UI or API
const privateHelpAgent = {
  name: "Help Agent (Dev)",
  description: "Testing documentation-powered help agent before making it public",
  
  // Start PRIVATE for testing
  isPublic: false,
  isGlobalRead: false,
  
  triggerWords: ["@help", "@docs", "@assistant"],
  
  personality: {
    majorMotivation: "Helping users understand Bike4Mind features",
    quirk: "I love connecting documentation to real user needs",
    flaw: "Sometimes I provide too much detail when testing"
  },
  
  // Mark as development version
  tags: ["development", "help-system", "testing"]
};

Step 2: Upload Documentation to Your Knowledge Base (10 minutes)

# Use your existing file upload system
1. Zip up docs-site/docs folder
2. Upload via your Knowledge interface
3. Tag with: "help-docs", "official-docs", "agent-knowledge"
4. Let your existing chunking/vectorization handle it

Step 3: Test & Iterate in Private Chat (15 minutes)

# Test various query types in your private sessions
"@help what are Mementos"
"@docs how do I use Questmaster" 
"@assistant troubleshoot voice agents"
"@help getting started guide"
"@docs file sharing workflow"

Step 4: Tune Agent Personality & Responses (20 minutes)

// Adjust based on testing results
const tunedPersonality = {
  responseStyle: "Helpful and comprehensive BUT concise when appropriate",
  improvements: [
    "Learned to provide quick answers for simple questions",
    "Better at suggesting related features",
    "Improved at citing documentation sources"
  ]
};

⚡ Phase 2: Enhanced Agent Detection (15 minutes)

Minimal AgentDetectionFeature Enhancement

// Add to existing AgentDetectionFeature.ts
// This works for YOUR private agent first, then public later

async getContextMessages(
  quest: IChatHistoryItemDocument,
  embeddingFactory: EmbeddingFactory,
  message: string,
  maxTokens: number,
  modelInfo: ModelInfo
): Promise<IMessage[]> {
  
  const baseContext = await super.getContextMessages(...arguments);
  
  // Check if ANY help agent is active (private or public)
  const agentsToProcess: IAgent[] = (quest as any)._agentsToProcess || [];
  const isHelpAgent = agentsToProcess.some(agent => 
    agent.tags?.includes('help-system') || 
    agent.triggerWords?.some(trigger => 
      ['@help', '@docs', '@assistant'].includes(trigger)
    )
  );
  
  if (isHelpAgent) {
    try {
      // Search YOUR documentation using existing vector infrastructure
      const documentationContext = await this.searchUserDocumentation(
        message, 
        embeddingFactory,
        this.service.user.id, // Your user ID for private testing
        maxTokens * 0.3
      );
      
      return [...baseContext, ...documentationContext];
    } catch (error) {
      this.service.logger.error('Documentation search error:', error);
      return baseContext;
    }
  }
  
  return baseContext;
}

private async searchUserDocumentation(
  query: string, 
  embeddingFactory: EmbeddingFactory,
  userId: string,
  maxTokens: number
): Promise<IMessage[]> {
  
  const queryEmbedding = await embeddingFactory.createEmbedding(query);
  
  // Search YOUR files with help-docs tags
  const relevantChunks = await fabFileChunkRepository.findByVectorSimilarity({
    vector: queryEmbedding,
    limit: 5,
    threshold: 0.7,
    filters: {
      'fabFile.userId': userId, // YOUR files only (for now)
      'fabFile.tags': { $in: ['help-docs', 'official-docs', 'agent-knowledge'] }
    }
  });
  
  if (relevantChunks.length === 0) {
    return [{
      role: 'system',
      content: 'No specific documentation found. Provide helpful guidance based on general Bike4Mind knowledge.'
    }];
  }
  
  // Build context from found chunks
  const contextParts = ['You have access to Bike4Mind documentation:'];
  
  relevantChunks.forEach(chunk => {
    contextParts.push(`Source: ${chunk.fabFile?.filename}`);
    contextParts.push(`Content: ${chunk.text}`);
    contextParts.push('---');
  });
  
  contextParts.push('Use this documentation to provide accurate, helpful answers. Always cite sources when possible.');
  
  return [{
    role: 'system',
    content: contextParts.join('\n')
  }];
}

🎉 Phase 3: Go Public (5 minutes)

When Ready, Flip the Switch

// Update your tested agent to be public
PATCH /api/agents/{agentId}
{
  "isPublic": true,
  "isGlobalRead": true,
  "name": "Bike", // Rebrand to final name
  "description": "I'm Bike4Mind's official assistant! I know everything about our platform...",
  "tags": ["official", "system-agent", "public", "help-system"]
}

Update Documentation Search for Global Access

// Modify searchUserDocumentation to search global docs when agent is public
private async searchDocumentation(query: string, embeddingFactory: EmbeddingFactory, agent: IAgent): Promise<IMessage[]> {
  const queryEmbedding = await embeddingFactory.createEmbedding(query);
  
  const filters = agent.isPublic 
    ? {
        // Public agent: search official docs from any user with help-docs tag
        'fabFile.tags': { $in: ['help-docs', 'official-docs', 'agent-knowledge'] }
      }
    : {
        // Private agent: search only your docs
        'fabFile.userId': this.service.user.id,
        'fabFile.tags': { $in: ['help-docs', 'official-docs', 'agent-knowledge'] }
      };
  
  const relevantChunks = await fabFileChunkRepository.findByVectorSimilarity({
    vector: queryEmbedding,
    limit: 5,
    threshold: 0.7,
    filters
  });
  
  // ... rest of context building
}

🚀 The Agent Marketplace Vision

Phase 4: Agent Sharing Ecosystem (Future)

Clone & Fork Pattern

interface AgentSharingOptions {
  shareType: 'clone' | 'fork' | 'collaborate';
  permissions: {
    canModify: boolean;
    canViewSource: boolean;
    canReshare: boolean;
  };
  context: 'isolated' | 'shared' | 'hybrid';
}

// Clone: Copy agent to user's account
const clonedAgent = await AgentService.clone(originalAgentId, {
  shareType: 'clone',
  permissions: { canModify: true, canViewSource: true, canReshare: false }
});

// Fork: Copy + maintain link to original
const forkedAgent = await AgentService.fork(originalAgentId, {
  shareType: 'fork', 
  originalAgent: originalAgentId,
  attribution: true
});

Shared Context Agents

interface SharedContextAgent extends IAgent {
  contextSharing: {
    enabled: boolean;
    participants: string[]; // User IDs
    sharedMemory: boolean;  // Remember conversations across users
    isolationLevel: 'none' | 'user' | 'session';
  };
}

// Use cases:
const teamAssistant = {
  contextSharing: {
    enabled: true,
    participants: ['team-lead', 'dev1', 'dev2'],
    sharedMemory: true,     // Learns from all team interactions
    isolationLevel: 'user'  // But keeps user-specific data separate
  }
};

Agent Marketplace Features

interface AgentMarketplace {
  // Discovery
  searchPublicAgents(query: string, filters: AgentFilters): Promise<IAgent[]>;
  getFeaturedAgents(): Promise<IAgent[]>;
  getPopularAgents(timeframe: string): Promise<IAgent[]>;
  
  // Sharing
  publishAgent(agentId: string, listing: AgentListing): Promise<void>;
  shareAgent(agentId: string, shareOptions: AgentSharingOptions): Promise<ShareLink>;
  
  // Analytics
  getAgentUsageStats(agentId: string): Promise<UsageStats>;
  getUserAgentLibrary(userId: string): Promise<AgentLibrary>;
}

💡 Immediate Benefits of This Approach

1. Risk-Free Testing

• Test in your private account first
• No impact on other users during development
• Perfect the experience before going public

2. Iterative Improvement

• Real feedback from actual usage
• Fine-tune personality and responses
• Discover edge cases safely

3. Knowledge Base Optimization

• Test which documentation works best
• Optimize chunking and tagging strategies
• Perfect vector search parameters

4. Smooth Transition

• When ready, just flip isPublic: true
• All the infrastructure automatically handles it
• No migration or data movement needed

🔧 Development Workflow

Week 1: Private Development

Day 1: Create private agent + upload docs
Day 2-3: Test various query types and scenarios
Day 4-5: Tune personality and improve responses
Weekend: Final testing and preparation

Week 2: Public Launch

Day 1: Flip to public, announce to team
Day 2-3: Monitor usage and gather feedback
Day 4-5: Quick iterations based on user feedback
Weekend: Plan marketplace features

Month 2+: Marketplace Development

Week 1: Agent cloning infrastructure
Week 2: Shared context agents
Week 3: Agent discovery and search
Week 4: Usage analytics and recommendations

🎯 Success Metrics

Private Testing Phase

• Agent responds accurately to documentation queries
• Response quality meets your standards
• No performance issues in your sessions
• Ready to represent Bike4Mind publicly

Public Launch Phase

• Users discover and engage with public agent
• Positive feedback on response quality
• No system performance degradation
• Reduced support ticket volume

Marketplace Vision

• Users create and share agents successfully
• Agent cloning/forking works smoothly
• Shared context agents provide value
• Healthy ecosystem of community agents

🚀 Ready to Start?

This iterative approach is perfect because it:

• ✅ Uses 100% existing infrastructure
• ✅ Allows safe testing and iteration
• ✅ Provides smooth transition to public
• ✅ Sets foundation for agent marketplace
• ✅ Minimizes risk while maximizing learning

Start in your account today! 🚲