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Phase 5 Implementation Guide - Agent Builder Interface

Phase: Weeks 7-8
Status: 🚀 Starting Implementation
Goal: Enable users to create custom agents without code

🎯 Phase 5 Overview​

Objective: Build a visual, no-code interface for creating and managing custom AI agents

Deliverables:

  1. Agent configuration schema
  2. Agent registry system
  3. Visual agent builder UI
  4. Testing playground
  5. Agent templates
  6. Export/import functionality

Timeline: 2 weeks

🎨 What We're Building​

The Vision​

Before (Code Required):

# Users need to write code to create agents
from packages.agents import RAGAgentGraph, AgentConfig

config = AgentConfig(
    model_name="gpt-4",
    temperature=0.1,
    max_tokens=2000,
    retrieval_k=5
)

agent = RAGAgentGraph(config, tool_registry)
# Complex setup, requires programming knowledge

After (No Code):

1. Open Agent Builder UI
2. Click "Create New Agent"
3. Fill in form:
   - Name: "Customer Support Agent"
   - Type: RAG
   - Tools: [Retrieval, Web Search]
   - Knowledge Base: customer_docs
4. Configure prompts in editor
5. Click "Deploy"
6. Agent is live!

📋 Components to Build​

1. Agent Configuration Schema​

File: packages/agents/agent_config_schema.py

JSON Schema:

{
  "agent_id": "unique-id",
  "name": "Customer Support Agent",
  "description": "Handles customer inquiries",
  "type": "rag",
  "status": "active",
  
  "llm_config": {
    "provider": "openai",
    "model": "gpt-4-turbo",
    "temperature": 0.1,
    "max_tokens": 2000
  },
  
  "tools": [
    {"name": "retrieval", "enabled": true},
    {"name": "web_search", "enabled": false}
  ],
  
  "prompts": {
    "system": "You are a helpful customer support agent...",
    "planning": "Plan your response based on...",
    "answering": "Provide a clear answer..."
  },
  
  "knowledge_base": {
    "sources": ["customer_docs", "faq"],
    "filters": {"category": "support"}
  },
  
  "policies": {
    "safety": {
      "pii_detection": true,
      "content_filtering": true
    },
    "rate_limit": {
      "requests_per_minute": 60
    },
    "escalation": {
      "max_steps": 5,
      "confidence_threshold": 0.7
    }
  },
  
  "metadata": {
    "created_by": "user@example.com",
    "created_at": "2025-10-09T00:00:00Z",
    "version": "1.0",
    "tags": ["customer-support", "production"]
  }
}

2. Agent Registry​

File: packages/agents/agent_registry.py

Features:

  • Store agent configurations
  • Version management
  • CRUD operations
  • Agent discovery
  • Deployment management
  • Status tracking

3. Visual Agent Builder UI​

File: apps/agent_builder/app.py

Screens:

Screen 1: Agent List​

  • View all agents
  • Search and filter
  • Quick actions (edit, delete, deploy)
  • Create new agent button

Screen 2: Agent Creation Wizard​

  • Step 1: Basic Info (name, description, type)
  • Step 2: LLM Configuration (model, parameters)
  • Step 3: Tools Selection (checkboxes)
  • Step 4: Prompts (text editors)
  • Step 5: Knowledge Base (file selector)
  • Step 6: Policies (sliders, toggles)
  • Step 7: Review & Deploy

Screen 3: Testing Playground​

  • Test agent with queries
  • View intent/entity detection
  • See agent reasoning
  • Compare responses

Screen 4: Analytics​

  • Agent usage stats
  • Performance metrics
  • Cost tracking
  • User feedback

4. Agent Templates​

Pre-built agent configurations:

  • Medical Assistant - Healthcare queries
  • Compliance Officer - Regulatory guidance
  • IT Support - Technical help
  • Customer Support - General inquiries
  • Research Assistant - Information gathering
  • Sales Assistant - Product information

5. Export/Import​

Features:

  • Export agent as JSON
  • Import agent from JSON
  • Share agents with team
  • Version control integration

🛠️ Implementation Plan​

Week 7: Core Infrastructure​

Day 1-2: Schema & Registry​

  • Create agent configuration schema
  • Implement validation
  • Build agent registry
  • Add database models
  • Create CRUD operations

Day 3-4: Basic UI​

  • Create agent list screen
  • Add creation wizard (Steps 1-3)
  • Implement form validation
  • Test basic flow

Day 5: Advanced UI​

  • Complete wizard (Steps 4-7)
  • Add templates
  • Create testing playground
  • Polish UI

Week 8: Polish & Integration​

Day 1-2: Testing & Refinement​

  • End-to-end testing
  • UI/UX improvements
  • Error handling
  • Loading states

Day 3-4: Export/Import & Templates​

  • Implement export/import
  • Create agent templates
  • Add documentation
  • Create tutorial videos

Day 5: Integration & Deployment​

  • Integrate with main API
  • Deploy to staging
  • User testing
  • Documentation

📊 Success Criteria​

Must Have​

  • ✅ Users can create agents without code
  • ✅ Agent configuration is validated
  • ✅ Agents can be tested in playground
  • ✅ Agents can be deployed
  • ✅ Templates available

Nice to Have​

  • ⚠️ Visual prompt editor with syntax highlighting
  • ⚠️ Real-time agent preview
  • ⚠️ Collaborative editing
  • ⚠️ Version history
  • ⚠️ Agent marketplace

Let's start building! 🚀