WIP - using deep agent to create dog using workflow

.env.api

@@ -5,6 +5,11 @@ DATABASE_URL="mysql://platform:platform@db:3306/platform"
 CENTRAL_DATABASE_URL="mysql://root:asjdnfqTash37faggT@db:3306/central_platform"
 REDIS_URL="redis://redis:6379"
 
+# Meilisearch (optional)
+MEILI_HOST="http://meilisearch:7700"
+MEILI_API_KEY="dev-meili-master-key"
+MEILI_INDEX_PREFIX="tenant_"
+
 # JWT, multi-tenant hints, etc.
 JWT_SECRET="devsecret"
 TENANCY_STRATEGY="single-db"

.env.web

@@ -2,4 +2,4 @@ NUXT_PORT=3001
 NUXT_HOST=0.0.0.0
 
 # Point Nuxt to the API container (not localhost)
-NUXT_PUBLIC_API_BASE_URL=http://jupiter.routebox.co:3000
+NUXT_PUBLIC_API_BASE_URL=https://tenant1.routebox.co

AI_PROCESS_BUILDER_README.md

@@ -0,0 +1,324 @@
+# AI Process Builder + Chat Orchestrator
+
+A complete implementation of tenant-scoped AI process automation where admins design LangGraph-compiled workflows via React Flow UI, and end-users execute them through a Deep Agent chat orchestrator with deterministic, audited execution.
+
+## Architecture Overview
+
+### Backend Components
+
+#### 1. **Deep Agent Orchestrator** ([deep-agent.orchestrator.ts](backend/src/ai-processes/deep-agent.orchestrator.ts))
+- Uses LangChain/OpenAI to intelligently select processes
+- Extracts structured inputs from natural language
+- Generates friendly confirmation messages
+- Three-step workflow: discover → select → extract → execute
+
+#### 2. **Graph Compiler** ([ai-processes.compiler.ts](backend/src/ai-processes/ai-processes.compiler.ts))
+- Validates ReactFlow JSON graphs (Start/End nodes, reachability, cycles)
+- Compiles to LangGraph-compatible state machines
+- Validates tool allowlist and JSON schemas (Ajv)
+- Persists compiled artifact for versioned execution
+
+#### 3. **Runtime Executor** ([ai-processes.runner.ts](backend/src/ai-processes/ai-processes.runner.ts))
+- Executes compiled graphs deterministically
+- Implements 4 node types: LLMDecisionNode, ToolNode, HumanInputNode, End
+- Handles conditional edges via jsonlogic
+- Emits real-time events for streaming updates
+
+#### 4. **Tool Registry** ([tools/tool-registry.ts](backend/src/ai-processes/tools/tool-registry.ts))
+- Tenant-scoped tool allowlist (database-backed via AiToolConfig)
+- Demo tools wrapping ObjectService (findAccount, createAccount, etc.)
+- Context injection (tenantId, userId, knex) for secure execution
+
+#### 5. **Orchestrator Service** ([ai-processes.orchestrator.service.ts](backend/src/ai-processes/ai-processes.orchestrator.service.ts))
+- Integrates Deep Agent for process selection
+- Falls back to standard AI assistant when no processes configured
+- Manages chat sessions and message history
+- Streams execution events via SSE
+
+### Frontend Components
+
+#### 1. **AIChatBar** ([components/AIChatBar.vue](frontend/components/AIChatBar.vue))
+- Updated to call `/ai-processes/chat/messages` endpoint
+- SSE event stream consumer for real-time updates
+- Displays process selection, node execution, tool calls
+- Handles NEED_INPUT events for human-in-the-loop
+
+#### 2. **Process Management UI** ([pages/ai-processes/](frontend/pages/ai-processes/))
+- List view: displays all processes with versions
+- Editor view: React Flow integration via iframe + postMessage
+- Test runner for quick validation
+
+#### 3. **React Flow Editor** ([ai-processes-editor/src/App.tsx](frontend/ai-processes-editor/src/App.tsx))
+- Node palette: Start, LLMDecisionNode, ToolNode, HumanInputNode, End
+- Visual graph designer with drag-drop
+- Auto-saves to parent window via postMessage
+- Loads existing graphs for editing
+
+### Data Models (Objection.js)
+
+```typescript
+AiProcess
+├── id, tenantId, name, description, latestVersion
+└── relations: versions[], runs[]
+
+AiProcessVersion
+├── id, tenantId, processId, version
+├── graphJson (ReactFlow definition)
+└── compiledJson (LangGraph artifact)
+
+AiProcessRun
+├── id, tenantId, processId, version, status
+├── inputJson, outputJson, errorJson, stateJson
+└── currentNodeId (for resume)
+
+AiChatSession
+├── id, tenantId, userId
+└── relations: messages[]
+
+AiChatMessage
+├── id, sessionId, role, content
+└── timestamps
+
+AiAuditEvent
+├── id, tenantId, runId, eventType
+└── payloadJson (full event data)
+
+AiToolConfig
+├── id, tenantId, toolName, enabled
+└── configJson (tool-specific settings)
+```
+
+## Demo Process: Register New Pet
+
+A complete workflow demonstrating conditional logic and tool orchestration:
+
+1. **Extract Info** (LLMDecisionNode)
+   - Parses user message for pet + owner details
+   - Outputs structured JSON with validation
+
+2. **Find/Create Account** (Conditional)
+   - Searches for existing account by name/email
+   - Creates new account if not found
+   - Merges results into state
+
+3. **Find/Create Contact** (Conditional)
+   - Searches for existing contact under account
+   - Creates new contact if not found
+
+4. **Create Pet** (ToolNode)
+   - Inserts pet record linked to contact
+   - Returns pet ID
+
+### Seed the Demo Process
+
+```bash
+cd backend
+npm run migrate:tenant -- <tenant-slug>
+npm run seed:demo-process -- <tenant-slug>
+```
+
+### Test the Demo Process
+
+1. Navigate to `/ai-processes` in your tenant subdomain
+2. Open "Register New Pet" process
+3. Click "Test Run" or use the chat bar:
+
+```
+User: "Register a dog named Max, breed Golden Retriever, age 3, 
+       owned by John Smith, email john@example.com"
+
+Agent: 🔄 Selected process: Register New Pet
+       I'll register Max (Golden Retriever, 3 years old) for John Smith.
+       
+       ⚙️ Executing step: Extract Info
+       ✓ Extracted pet details
+       
+       🔧 Using tool: findAccount
+       ℹ️ Account not found, creating new account
+       
+       🔧 Using tool: createAccount
+       ✓ Created account for John Smith
+       
+       🔧 Using tool: findContact
+       ℹ️ Contact not found, creating new contact
+       
+       🔧 Using tool: createContact
+       ✓ Created contact: John Smith
+       
+       🔧 Using tool: createPet
+       ✓ Created pet: Max (ID: pet_1234567890)
+       
+       ✅ Process completed successfully!
+```
+
+## API Endpoints
+
+### Process Management (Admin)
+
+```typescript
+GET    /tenants/:tenantId/ai-processes
+POST   /tenants/:tenantId/ai-processes
+GET    /tenants/:tenantId/ai-processes/:id
+POST   /tenants/:tenantId/ai-processes/:id/versions
+GET    /tenants/:tenantId/ai-processes/:id/versions
+
+POST   /tenants/:tenantId/ai-processes/:id/runs
+POST   /tenants/:tenantId/ai-processes/runs/:runId/resume
+```
+
+### Chat Orchestrator (End User)
+
+```typescript
+POST   /tenants/:tenantId/ai-processes/chat/messages
+SSE    /tenants/:tenantId/ai-processes/stream?sessionId=xxx
+```
+
+## Event Stream Types
+
+```typescript
+type StreamEvent =
+  | { type: 'agent_started' }
+  | { type: 'processes_listed', data: { count: number } }
+  | { type: 'process_selected', processId: string, version: number }
+  | { type: 'agent_message', data: { message: string } }
+  | { type: 'node_started', nodeId: string }
+  | { type: 'node_completed', nodeId: string }
+  | { type: 'tool_called', toolName: string, nodeId: string }
+  | { type: 'llm_decision', nodeId: string, data: any }
+  | { type: 'need_input', data: { prompt: string, schema: JSONSchema } }
+  | { type: 'final', data: { output: any } }
+  | { type: 'error', data: { error: string } }
+```
+
+## Security & Guardrails
+
+### 1. **Tenancy Isolation**
+- All queries filtered by `tenantId` (enforced in Objection models)
+- Tool context includes tenant scope
+- Database-per-tenant architecture (inherited from platform)
+
+### 2. **Tool Allowlist**
+- Two-level validation:
+  - Tenant-level: `AiToolConfig` table (enabled tools per tenant)
+  - Compile-time: validates toolName exists in registry
+- Runtime check before tool execution
+
+### 3. **Schema Validation**
+- LLMDecisionNode output validated against JSON Schema (Ajv)
+- HumanInputNode input validated before resume
+- Graph structure validated at compile time
+
+### 4. **Audit Trail**
+- Every node execution logged to `ai_audit_events`
+- Includes: tool calls, LLM decisions, state mutations, errors
+- Queryable for compliance dashboards
+
+### 5. **Versioning**
+- Immutable process versions (create-only)
+- Runs reference specific version number
+- Graph definition + compiled artifact stored together
+
+## Running the System
+
+### 1. **Run Migrations**
+
+```bash
+cd backend
+npm run migrate:tenant -- tenant1
+```
+
+### 2. **Seed Demo Data**
+
+```bash
+npm run seed:demo-process -- tenant1
+```
+
+### 3. **Start Backend**
+
+```bash
+npm run start:dev
+```
+
+### 4. **Build Editor (if needed)**
+
+```bash
+cd frontend/ai-processes-editor
+npm install
+npm run build
+```
+
+### 5. **Start Frontend**
+
+```bash
+cd frontend
+npm run dev
+```
+
+### 6. **Access UI**
+
+- Admin UI: `http://tenant1.localhost:3001/ai-processes`
+- Chat UI: Available in bottom drawer on any page (⌘K to toggle)
+
+## Extension Points
+
+### Adding New Node Types
+
+1. Define type in [ai-processes.types.ts](backend/src/ai-processes/ai-processes.types.ts)
+2. Add schema validation in [ai-processes.schemas.ts](backend/src/ai-processes/ai-processes.schemas.ts)
+3. Implement executor in [ai-processes.runner.ts](backend/src/ai-processes/ai-processes.runner.ts)
+4. Add UI component in React Flow editor
+
+### Adding New Tools
+
+1. Implement handler in [tools/demo-tools.ts](backend/src/ai-processes/tools/demo-tools.ts)
+2. Register in `demoTools` export
+3. Add to tenant allowlist via UI or seed script
+4. Document input/output schema
+
+### Custom LLM Decision Logic
+
+Override `llmDecision` callback in [ai-processes.service.ts](backend/src/ai-processes/ai-processes.service.ts):
+
+```typescript
+llmDecision: async (node, state) => {
+  const prompt = renderTemplate(node.data.promptTemplate, state);
+  const response = await callOpenAI(prompt, node.data.model);
+  return validateAgainstSchema(response, node.data.outputSchema);
+}
+```
+
+## Troubleshooting
+
+### Process not appearing in chat
+
+- Check: `npm run seed:demo-process` completed successfully
+- Verify: Process exists in database (`select * from ai_processes`)
+- Check: Tools enabled (`select * from ai_tool_configs`)
+
+### Graph validation errors
+
+- Ensure exactly one Start node
+- Ensure at least one End node
+- Check all edges reference valid node IDs
+- Verify tool names match registered tools
+
+### SSE stream not working
+
+- Check CORS settings for subdomain routing
+- Verify `sessionId` returned from initial message
+- Check browser console for connection errors
+- Fallback: use polling endpoint (TODO: implement)
+
+## Next Steps
+
+1. **Enhanced Input Extraction**: Use Deep Agent to extract required fields per process
+2. **Visual Schema Builder**: UI for JSON Schema creation (drag-drop fields)
+3. **Conditional Edge Builder**: Visual jsonlogic editor
+4. **Process Analytics**: Dashboard showing run success rates, avg duration
+5. **Human-in-Loop UI**: Dynamic form renderer for HumanInputNode
+6. **Process Marketplace**: Share processes across tenants (with permissions)
+7. **Python Microservice**: Optional Python runtime for native LangGraph support
+
+## License
+
+MIT

DEBUG_INCOMING_CALL.md

@@ -0,0 +1,83 @@
+# Debugging Incoming Call Issue
+
+## Current Problem
+- Hear "Connecting to your call" message (TwiML is executing)
+- No ring on mobile after "Connecting" message
+- Click Accept button does nothing
+- Call never connects
+
+## Root Cause Hypothesis
+The Twilio Device SDK is likely **NOT receiving the incoming call event** from Twilio's Signaling Server. This could be because:
+
+1. **Identity Mismatch**: The Device's identity (from JWT token) doesn't match the `<Client>ID</Client>` in TwiML
+2. **Device Not Registered**: Device registration isn't completing before the call arrives
+3. **Twilio Signaling Issue**: Device isn't connected to Twilio Signaling Server
+
+## How to Debug
+
+### Step 1: Check Device Identity in Console
+When you open the softphone dialog, **open Browser DevTools Console (F12)**
+
+You should see logs like:
+```
+Token received, creating Device...
+Token identity: e6d45fa3-a108-4085-81e5-a8e05e85e6fb
+Token grants: {voice: {...}}
+Registering Twilio Device...
+✓ Twilio Device registered - ready to receive calls
+Device identity: e6d45fa3-a108-4085-81e5-a8e05e85e6fb
+Device state: ready
+```
+
+**Note the Device identity value** - e.g., "e6d45fa3-a108-4085-81e5-a8e05e85e6fb"
+
+### Step 2: Check Backend Logs
+When you make an inbound call, look for backend logs showing:
+
+```
+╔════════════════════════════════════════╗
+║ === INBOUND CALL RECEIVED ===
+╚════════════════════════════════════════╝
+...
+Client IDs to dial: e6d45fa3-a108-4085-81e5-a8e05e85e6fb
+First Client ID format check: "e6d45fa3-a108-4085-81e5-a8e05e85e6fb" (length: 36)
+```
+
+### Step 3: Compare Identities
+The Device identity from frontend console MUST MATCH the Client ID from backend logs.
+
+**If they match**: The issue is with Twilio Signaling or Device SDK configuration
+**If they don't match**: We found the bug - identity mismatch
+
+### Step 4: Monitor Incoming Event
+When you make the inbound call, keep watching the browser console for:
+
+```
+🔔 Twilio Device INCOMING event received: {...}
+```
+
+**If this appears**: The Device SDK IS receiving the call, so the Accept button issue is frontend
+**If this doesn't appear**: The Device SDK is NOT receiving the call, so it's an identity/registration issue
+
+## What Changed
+- Frontend now relies on **Twilio Device SDK `incoming` event** (not Socket.IO) for showing incoming call
+- Added comprehensive logging to Device initialization
+- Added logging to Accept button handler
+- Backend logs Device ID format for comparison
+
+## Next Steps
+
+1. Make an inbound call
+2. Check browser console for the 5 logs above
+3. Check backend logs for Client ID
+4. Look for "🔔 Twilio Device INCOMING event" in browser console
+5. Try clicking Accept and watch console for "📞 Accepting call" logs
+6. Report back with:
+   - Device identity from console
+   - Client ID from backend logs
+   - Whether "🔔 Twilio Device INCOMING event" appears
+   - Whether any accept logs appear
+
+## Important Files
+- Backend: `/backend/src/voice/voice.controller.ts` (lines 205-210 show Client ID logging)
+- Frontend: `/frontend/composables/useSoftphone.ts` (Device initialization and incoming handler)

SOFTPHONE_AI_ASSISTANT.md

@@ -0,0 +1,173 @@
+# Softphone AI Assistant - Complete Implementation
+
+## 🎉 Features Implemented
+
+### ✅ Real-time AI Call Assistant
+- **OpenAI Realtime API Integration** - Listens to live calls and provides suggestions
+- **Audio Streaming** - Twilio Media Streams fork audio to backend for AI processing
+- **Real-time Transcription** - Speech-to-text during calls
+- **Smart Suggestions** - AI analyzes conversation and advises the agent
+
+## 🔧 Architecture
+
+### Backend Flow
+```
+Inbound Call → TwiML (<Start><Stream> + <Dial>) 
+→ Media Stream WebSocket → OpenAI Realtime API 
+→ AI Processing → Socket.IO → Frontend
+```
+
+### Key Components
+
+1. **TwiML Structure** (`voice.controller.ts:226-234`)
+   - `<Start><Stream>` - Forks audio for AI processing
+   - `<Dial><Client>` - Connects call to agent's softphone
+
+2. **OpenAI Integration** (`voice.service.ts:431-519`)
+   - WebSocket connection to `wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview-2024-10-01`
+   - Session config with custom instructions for agent assistance
+   - Handles transcripts and generates suggestions
+
+3. **AI Message Handler** (`voice.service.ts:609-707`)
+   - Processes OpenAI events (transcripts, suggestions, audio)
+   - Routes suggestions to frontend via Socket.IO
+   - Saves transcripts to database
+
+4. **Voice Gateway** (`voice.gateway.ts:272-289`)
+   - `notifyAiTranscript()` - Real-time transcript chunks
+   - `notifyAiSuggestion()` - AI suggestions to agent
+
+### Frontend Components
+
+1. **Softphone Dialog** (`SoftphoneDialog.vue:104-135`)
+   - AI Assistant section with badge showing suggestion count
+   - Color-coded suggestions (blue=response, green=action, purple=insight)
+   - Animated highlight for newest suggestion
+
+2. **Softphone Composable** (`useSoftphone.ts:515-535`)
+   - Socket.IO event handlers for `ai:suggestion` and `ai:transcript`
+   - Maintains history of last 10 suggestions
+   - Maintains history of last 50 transcript items
+
+## 📋 AI Prompt Configuration
+
+The AI is instructed to:
+- **Listen, not talk** - It advises the agent, not the caller
+- **Provide concise suggestions** - 1-2 sentences max
+- **Use formatted output**:
+  - `💡 Suggestion: [advice]`
+  - `⚠️ Alert: [important notice]`
+  - `📋 Action: [CRM action]`
+
+## 🎨 UI Features
+
+### Suggestion Types
+- **Response** (Blue) - Suggested replies or approaches
+- **Action** (Green) - Recommended CRM actions
+- **Insight** (Purple) - Important alerts or observations
+
+### Visual Feedback
+- Badge showing number of suggestions
+- Newest suggestion pulses for attention
+- Auto-scrolling suggestion list
+- Timestamp on each suggestion
+
+## 🔍 How to Monitor
+
+### 1. Backend Logs
+```bash
+# Watch for AI events
+docker logs -f neo-backend-1 | grep -E "AI|OpenAI|transcript|suggestion"
+```
+
+Key log markers:
+- `📝 Transcript chunk:` - Real-time speech detection
+- `✅ Final transcript:` - Complete transcript saved
+- `💡 AI Suggestion:` - AI-generated advice
+
+### 2. Database
+```sql
+-- View call transcripts
+SELECT call_sid, ai_transcript, created_at 
+FROM calls 
+ORDER BY created_at DESC 
+LIMIT 5;
+```
+
+### 3. Frontend Console
+- Open browser DevTools Console
+- Watch for: "AI suggestion:", "AI transcript:"
+
+## 🚀 Testing
+
+1. **Make a test call** to your Twilio number
+2. **Accept the call** in the softphone dialog
+3. **Talk during the call** - Say something like "I need to schedule a follow-up"
+4. **Watch the UI** - AI suggestions appear in real-time
+5. **Check logs** - See transcription and suggestion generation
+
+## 📊 Current Status
+
+✅ **Working**:
+- Inbound calls ring softphone
+- Media stream forks audio to backend
+- OpenAI processes audio (1300+ packets/call)
+- AI generates suggestions
+- Suggestions appear in frontend
+- Transcripts saved to database
+
+## 🔧 Configuration
+
+### Required Environment Variables
+```env
+# OpenAI API Key (set in tenant integrations config)
+OPENAI_API_KEY=sk-...
+
+# Optional overrides
+OPENAI_MODEL=gpt-4o-realtime-preview-2024-10-01
+OPENAI_VOICE=alloy
+```
+
+### Tenant Configuration
+Set in Settings > Integrations:
+- OpenAI API Key
+- Model (optional)
+- Voice (optional)
+
+## 🎯 Next Steps (Optional Enhancements)
+
+1. **CRM Tool Execution** - Implement actual tool calls (search contacts, create tasks)
+2. **Audio Response** - Send OpenAI audio back to caller (two-way AI interaction)
+3. **Sentiment Analysis** - Track call sentiment in real-time
+4. **Call Summary** - Generate post-call summary automatically
+5. **Custom Prompts** - Allow agents to customize AI instructions per call type
+
+## 🐛 Troubleshooting
+
+### No suggestions appearing?
+1. Check OpenAI API key is configured
+2. Verify WebSocket connection logs show "OpenAI Realtime connected"
+3. Check frontend Socket.IO connection is established
+4. Verify user ID matches between backend and frontend
+
+### Transcripts not saving?
+1. Check tenant database connection
+2. Verify `calls` table has `ai_transcript` column
+3. Check logs for "Failed to update transcript" errors
+
+### OpenAI connection fails?
+1. Verify API key is valid
+2. Check model name is correct
+3. Review WebSocket close codes in logs
+
+## 📝 Files Modified
+
+**Backend:**
+- `/backend/src/voice/voice.service.ts` - OpenAI integration & AI message handling
+- `/backend/src/voice/voice.controller.ts` - TwiML generation with stream fork
+- `/backend/src/voice/voice.gateway.ts` - Socket.IO event emission
+- `/backend/src/main.ts` - Media stream WebSocket handler
+
+**Frontend:**
+- `/frontend/components/SoftphoneDialog.vue` - AI suggestions UI
+- `/frontend/composables/useSoftphone.ts` - Socket.IO event handlers

backend/insert-demo-process.sql

@@ -0,0 +1,115 @@
+-- Insert demo AI process directly
+SET @process_id = '2d883482-4df0-44d7-b6cf-8541b482afe4';
+SET @version_id = '437b1e72-405e-4862-a8bc-f368e554b482';
+SET @user_id = 'system';
+
+-- Insert process
+INSERT INTO ai_processes (id, name, created_by)
+VALUES (@process_id, 'Register New Pet', @user_id);
+
+-- Insert process version with compiled graph
+INSERT INTO ai_process_versions (id, process_id, version, graph_json, compiled_json, created_by)
+VALUES (
+  @version_id,
+  @process_id,
+  1,
+  '{}',
+  JSON_OBJECT(
+    'id', 'register_new_pet',
+    'name', 'Register New Pet',
+    'description', 'Complete pet registration workflow',
+    'allowCycles', false,
+    'startNodeId', 'start',
+    'endNodeIds', JSON_ARRAY('end'),
+    'maxIterations', 50,
+    'nodes', JSON_ARRAY(
+      JSON_OBJECT('id', 'start', 'type', 'Start', 'data', JSON_OBJECT('label', 'Start')),
+      JSON_OBJECT('id', 'extract_info', 'type', 'LLMDecisionNode', 'data', JSON_OBJECT(
+        'label', 'Extract Info',
+        'promptTemplate', 'Extract: petName, species, ownerFirstName, ownerLastName, ownerEmail, accountName from: {{state.message}}',
+        'inputKeys', JSON_ARRAY('message'),
+        'outputSchema', JSON_OBJECT(
+          'type', 'object',
+          'properties', JSON_OBJECT(
+            'petName', JSON_OBJECT('type', 'string'),
+            'species', JSON_OBJECT('type', 'string'),
+            'ownerFirstName', JSON_OBJECT('type', 'string'),
+            'ownerLastName', JSON_OBJECT('type', 'string'),
+            'ownerEmail', JSON_OBJECT('type', 'string'),
+            'accountName', JSON_OBJECT('type', 'string')
+          ),
+          'required', JSON_ARRAY('petName', 'species', 'ownerFirstName', 'ownerLastName')
+        )
+      )),
+      JSON_OBJECT('id', 'find_account', 'type', 'ToolNode', 'data', JSON_OBJECT(
+        'label', 'Find Account',
+        'toolName', 'findAccount',
+        'argsTemplate', JSON_OBJECT('name', '{{state.accountName}}', 'email', '{{state.ownerEmail}}'),
+        'outputMapping', JSON_OBJECT('found', 'accountFound', 'accountId', 'accountId')
+      )),
+      JSON_OBJECT('id', 'create_account', 'type', 'ToolNode', 'data', JSON_OBJECT(
+        'label', 'Create Account',
+        'toolName', 'createAccount',
+        'argsTemplate', JSON_OBJECT('name', '{{state.accountName}}', 'email', '{{state.ownerEmail}}'),
+        'outputMapping', JSON_OBJECT('accountId', 'accountId')
+      )),
+      JSON_OBJECT('id', 'find_contact', 'type', 'ToolNode', 'data', JSON_OBJECT(
+        'label', 'Find Contact',
+        'toolName', 'findContact',
+        'argsTemplate', JSON_OBJECT(
+          'firstName', '{{state.ownerFirstName}}',
+          'lastName', '{{state.ownerLastName}}',
+          'email', '{{state.ownerEmail}}',
+          'accountId', '{{state.accountId}}'
+        ),
+        'outputMapping', JSON_OBJECT('found', 'contactFound', 'contactId', 'contactId')
+      )),
+      JSON_OBJECT('id', 'create_contact', 'type', 'ToolNode', 'data', JSON_OBJECT(
+        'label', 'Create Contact',
+        'toolName', 'createContact',
+        'argsTemplate', JSON_OBJECT(
+          'firstName', '{{state.ownerFirstName}}',
+          'lastName', '{{state.ownerLastName}}',
+          'email', '{{state.ownerEmail}}',
+          'accountId', '{{state.accountId}}'
+        ),
+        'outputMapping', JSON_OBJECT('contactId', 'contactId')
+      )),
+      JSON_OBJECT('id', 'create_pet', 'type', 'ToolNode', 'data', JSON_OBJECT(
+        'label', 'Create Pet',
+        'toolName', 'createPet',
+        'argsTemplate', JSON_OBJECT(
+          'name', '{{state.petName}}',
+          'species', '{{state.species}}',
+          'ownerId', '{{state.contactId}}'
+        ),
+        'outputMapping', JSON_OBJECT('petId', 'petId')
+      )),
+      JSON_OBJECT('id', 'end', 'type', 'End', 'data', JSON_OBJECT('label', 'End'))
+    ),
+    'edges', JSON_ARRAY(
+      JSON_OBJECT('id', 'e1', 'source', 'start', 'target', 'extract_info'),
+      JSON_OBJECT('id', 'e2', 'source', 'extract_info', 'target', 'find_account'),
+      JSON_OBJECT('id', 'e3', 'source', 'find_account', 'target', 'find_contact', 'condition', JSON_OBJECT('==', JSON_ARRAY(JSON_OBJECT('var', 'accountFound'), true))),
+      JSON_OBJECT('id', 'e4', 'source', 'find_account', 'target', 'create_account', 'condition', JSON_OBJECT('==', JSON_ARRAY(JSON_OBJECT('var', 'accountFound'), false))),
+      JSON_OBJECT('id', 'e5', 'source', 'create_account', 'target', 'find_contact'),
+      JSON_OBJECT('id', 'e6', 'source', 'find_contact', 'target', 'create_pet', 'condition', JSON_OBJECT('==', JSON_ARRAY(JSON_OBJECT('var', 'contactFound'), true))),
+      JSON_OBJECT('id', 'e7', 'source', 'find_contact', 'target', 'create_contact', 'condition', JSON_OBJECT('==', JSON_ARRAY(JSON_OBJECT('var', 'contactFound'), false))),
+      JSON_OBJECT('id', 'e8', 'source', 'create_contact', 'target', 'create_pet'),
+      JSON_OBJECT('id', 'e9', 'source', 'create_pet', 'target', 'end')
+    )
+  ),
+  @user_id
+);
+
+-- Insert tool allowlist
+INSERT INTO ai_tool_configs (id, tool_name, enabled)
+VALUES 
+  (UUID(), 'findAccount', true),
+  (UUID(), 'createAccount', true),
+  (UUID(), 'findContact', true),
+  (UUID(), 'createContact', true),
+  (UUID(), 'createPet', true)
+ON DUPLICATE KEY UPDATE enabled = true;
+
+SELECT 'Demo process inserted successfully!' as result;

backend/migrations/tenant/20250130000001_add_updated_at_to_record_shares.js

@@ -1,13 +0,0 @@
-exports.up = function (knex) {
-  return knex.schema
-    .table('record_shares', (table) => {
-      table.timestamp('updatedAt').defaultTo(knex.fn.now());
-    });
-};
-
-exports.down = function (knex) {
-  return knex.schema
-    .table('record_shares', (table) => {
-      table.dropColumn('updatedAt');
-    });
-};

backend/migrations/tenant/20250203000001_create_calls_table.js

@@ -0,0 +1,55 @@
+/**
+ * @param { import("knex").Knex } knex
+ * @returns { Promise<void> }
+ */
+exports.up = async function (knex) {
+  // Create calls table for tracking voice calls
+  await knex.schema.createTable('calls', (table) => {
+    table.string('id', 36).primary();
+    table.string('call_sid', 100).unique().notNullable().comment('Twilio call SID');
+    table.enum('direction', ['inbound', 'outbound']).notNullable();
+    table.string('from_number', 20).notNullable();
+    table.string('to_number', 20).notNullable();
+    table.enum('status', [
+      'queued',
+      'ringing',
+      'in-progress',
+      'completed',
+      'busy',
+      'failed',
+      'no-answer',
+      'canceled'
+    ]).notNullable().defaultTo('queued');
+    table.integer('duration_seconds').unsigned().nullable();
+    table.string('recording_url', 500).nullable();
+    table.text('ai_transcript').nullable().comment('Full transcript from OpenAI');
+    table.text('ai_summary').nullable().comment('AI-generated summary');
+    table.json('ai_insights').nullable().comment('Structured insights from AI');
+    table.string('user_id', 36).notNullable().comment('User who handled the call');
+    table.timestamp('started_at').nullable();
+    table.timestamp('ended_at').nullable();
+    table.timestamp('created_at').defaultTo(knex.fn.now());
+    table.timestamp('updated_at').defaultTo(knex.fn.now());
+
+    // Indexes
+    table.index('call_sid');
+    table.index('user_id');
+    table.index('status');
+    table.index('direction');
+    table.index(['created_at', 'user_id']);
+
+    // Foreign key to users table
+    table.foreign('user_id').references('id').inTable('users').onDelete('CASCADE');
+  });
+
+  console.log('✅ Created calls table');
+};
+
+/**
+ * @param { import("knex").Knex } knex
+ * @returns { Promise<void> }
+ */
+exports.down = async function (knex) {
+  await knex.schema.dropTableIfExists('calls');
+  console.log('✅ Dropped calls table');
+};

backend/migrations/tenant/20250305000001_create_contacts_and_contact_details.js

@@ -0,0 +1,207 @@
+exports.up = async function (knex) {
+  await knex.schema.createTable('contacts', (table) => {
+    table.uuid('id').primary().defaultTo(knex.raw('(UUID())'));
+    table.string('firstName', 100).notNullable();
+    table.string('lastName', 100).notNullable();
+    table.uuid('accountId').notNullable();
+    table.timestamps(true, true);
+
+    table
+      .foreign('accountId')
+      .references('id')
+      .inTable('accounts')
+      .onDelete('CASCADE');
+    table.index(['accountId']);
+    table.index(['lastName', 'firstName']);
+  });
+
+  await knex.schema.createTable('contact_details', (table) => {
+    table.uuid('id').primary().defaultTo(knex.raw('(UUID())'));
+    table.string('relatedObjectType', 100).notNullable();
+    table.uuid('relatedObjectId').notNullable();
+    table.string('detailType', 50).notNullable();
+    table.string('label', 100);
+    table.text('value').notNullable();
+    table.boolean('isPrimary').defaultTo(false);
+    table.timestamps(true, true);
+
+    table.index(['relatedObjectType', 'relatedObjectId']);
+    table.index(['detailType']);
+  });
+
+  const [contactObjectId] = await knex('object_definitions').insert({
+    id: knex.raw('(UUID())'),
+    apiName: 'Contact',
+    label: 'Contact',
+    pluralLabel: 'Contacts',
+    description: 'Standard Contact object',
+    isSystem: true,
+    isCustom: false,
+    created_at: knex.fn.now(),
+    updated_at: knex.fn.now(),
+  });
+
+  const contactObjectDefId =
+    contactObjectId ||
+    (await knex('object_definitions').where('apiName', 'Contact').first()).id;
+
+  await knex('field_definitions').insert([
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactObjectDefId,
+      apiName: 'firstName',
+      label: 'First Name',
+      type: 'String',
+      length: 100,
+      isRequired: true,
+      isSystem: true,
+      isCustom: false,
+      displayOrder: 1,
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactObjectDefId,
+      apiName: 'lastName',
+      label: 'Last Name',
+      type: 'String',
+      length: 100,
+      isRequired: true,
+      isSystem: true,
+      isCustom: false,
+      displayOrder: 2,
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactObjectDefId,
+      apiName: 'accountId',
+      label: 'Account',
+      type: 'Reference',
+      referenceObject: 'Account',
+      isRequired: true,
+      isSystem: true,
+      isCustom: false,
+      displayOrder: 3,
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+  ]);
+
+  const [contactDetailObjectId] = await knex('object_definitions').insert({
+    id: knex.raw('(UUID())'),
+    apiName: 'ContactDetail',
+    label: 'Contact Detail',
+    pluralLabel: 'Contact Details',
+    description: 'Polymorphic contact detail object',
+    isSystem: true,
+    isCustom: false,
+    created_at: knex.fn.now(),
+    updated_at: knex.fn.now(),
+  });
+
+  const contactDetailObjectDefId =
+    contactDetailObjectId ||
+    (await knex('object_definitions').where('apiName', 'ContactDetail').first())
+      .id;
+
+  const contactDetailRelationObjects = ['Account', 'Contact']
+
+  await knex('field_definitions').insert([
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactDetailObjectDefId,
+      apiName: 'relatedObjectType',
+      label: 'Related Object Type',
+      type: 'PICKLIST',
+      length: 100,
+      isRequired: true,
+      isSystem: false,
+      isCustom: false,
+      displayOrder: 1,
+      ui_metadata: JSON.stringify({
+        options: contactDetailRelationObjects.map((value) => ({ label: value, value })),
+      }),
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactDetailObjectDefId,
+      apiName: 'relatedObjectId',
+      label: 'Related Object ID',
+      type: 'LOOKUP',
+      length: 36,
+      isRequired: true,
+      isSystem: false,
+      isCustom: false,
+      displayOrder: 2,
+      ui_metadata: JSON.stringify({
+        relationObjects: contactDetailRelationObjects,
+        relationTypeField: 'relatedObjectType',
+        relationDisplayField: 'name',
+      }),
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactDetailObjectDefId,
+      apiName: 'detailType',
+      label: 'Detail Type',
+      type: 'String',
+      length: 50,
+      isRequired: true,
+      isSystem: false,
+      isCustom: false,
+      displayOrder: 3,
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactDetailObjectDefId,
+      apiName: 'label',
+      label: 'Label',
+      type: 'String',
+      length: 100,
+      isSystem: false,
+      isCustom: false,
+      displayOrder: 4,
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactDetailObjectDefId,
+      apiName: 'value',
+      label: 'Value',
+      type: 'Text',
+      isRequired: true,
+      isSystem: false,
+      isCustom: false,
+      displayOrder: 5,
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+    {
+      id: knex.raw('(UUID())'),
+      objectDefinitionId: contactDetailObjectDefId,
+      apiName: 'isPrimary',
+      label: 'Primary',
+      type: 'Boolean',
+      isSystem: false,
+      isCustom: false,
+      displayOrder: 6,
+      created_at: knex.fn.now(),
+      updated_at: knex.fn.now(),
+    },
+  ]);
+};
+
+exports.down = async function (knex) {
+  await knex.schema.dropTableIfExists('contact_details');
+  await knex.schema.dropTableIfExists('contacts');
+};

backend/migrations/tenant/20250305000002_update_contact_detail_polymorphic_fields.js

@@ -0,0 +1,101 @@
+exports.up = async function (knex) {
+  const contactDetailObject = await knex('object_definitions')
+    .where({ apiName: 'ContactDetail' })
+    .first();
+
+  if (!contactDetailObject) return;
+
+  const relationObjects = ['Account', 'Contact'];
+
+  await knex('field_definitions')
+    .where({
+      objectDefinitionId: contactDetailObject.id,
+      apiName: 'relatedObjectType',
+    })
+    .update({
+      type: 'PICKLIST',
+      length: 100,
+      isSystem: false,
+      ui_metadata: JSON.stringify({
+        options: relationObjects.map((value) => ({ label: value, value })),
+      }),
+      updated_at: knex.fn.now(),
+    });
+
+  await knex('field_definitions')
+    .where({
+      objectDefinitionId: contactDetailObject.id,
+      apiName: 'relatedObjectId',
+    })
+    .update({
+      type: 'LOOKUP',
+      length: 36,
+      isSystem: false,
+      ui_metadata: JSON.stringify({
+        relationObjects,
+        relationTypeField: 'relatedObjectType',
+        relationDisplayField: 'name',
+      }),
+      updated_at: knex.fn.now(),
+    });
+
+  await knex('field_definitions')
+    .whereIn('apiName', [
+      'detailType',
+      'label',
+      'value',
+      'isPrimary',
+    ])
+    .andWhere({ objectDefinitionId: contactDetailObject.id })
+    .update({
+      isSystem: false,
+      updated_at: knex.fn.now(),
+    });
+};
+
+exports.down = async function (knex) {
+  const contactDetailObject = await knex('object_definitions')
+    .where({ apiName: 'ContactDetail' })
+    .first();
+
+  if (!contactDetailObject) return;
+
+  await knex('field_definitions')
+    .where({
+      objectDefinitionId: contactDetailObject.id,
+      apiName: 'relatedObjectType',
+    })
+    .update({
+      type: 'String',
+      length: 100,
+      isSystem: true,
+      ui_metadata: null,
+      updated_at: knex.fn.now(),
+    });
+
+  await knex('field_definitions')
+    .where({
+      objectDefinitionId: contactDetailObject.id,
+      apiName: 'relatedObjectId',
+    })
+    .update({
+      type: 'String',
+      length: 36,
+      isSystem: true,
+      ui_metadata: null,
+      updated_at: knex.fn.now(),
+    });
+
+  await knex('field_definitions')
+    .whereIn('apiName', [
+      'detailType',
+      'label',
+      'value',
+      'isPrimary',
+    ])
+    .andWhere({ objectDefinitionId: contactDetailObject.id })
+    .update({
+      isSystem: true,
+      updated_at: knex.fn.now(),
+    });
+};

backend/migrations/tenant/20250305000003_make_contact_detail_fields_editable.js

@@ -0,0 +1,45 @@
+exports.up = async function (knex) {
+  const contactDetailObject = await knex('object_definitions')
+    .where({ apiName: 'ContactDetail' })
+    .first();
+
+  if (!contactDetailObject) return;
+
+  await knex('field_definitions')
+    .where({ objectDefinitionId: contactDetailObject.id })
+    .whereIn('apiName', [
+      'relatedObjectType',
+      'relatedObjectId',
+      'detailType',
+      'label',
+      'value',
+      'isPrimary',
+    ])
+    .update({
+      isSystem: false,
+      updated_at: knex.fn.now(),
+    });
+};
+
+exports.down = async function (knex) {
+  const contactDetailObject = await knex('object_definitions')
+    .where({ apiName: 'ContactDetail' })
+    .first();
+
+  if (!contactDetailObject) return;
+
+  await knex('field_definitions')
+    .where({ objectDefinitionId: contactDetailObject.id })
+    .whereIn('apiName', [
+      'relatedObjectType',
+      'relatedObjectId',
+      'detailType',
+      'label',
+      'value',
+      'isPrimary',
+    ])
+    .update({
+      isSystem: true,
+      updated_at: knex.fn.now(),
+    });
+};

backend/migrations/tenant/20250311000002_add_owner_to_contacts.js

@@ -0,0 +1,62 @@
+exports.up = async function (knex) {
+  // Add ownerId column to contacts
+  await knex.schema.alterTable('contacts', (table) => {
+    table.uuid('ownerId');
+    table
+      .foreign('ownerId')
+      .references('id')
+      .inTable('users')
+      .onDelete('SET NULL');
+    table.index(['ownerId']);
+  });
+
+  // Add ownerId field definition metadata for Contact object
+  const contactObject = await knex('object_definitions')
+    .where('apiName', 'Contact')
+    .first();
+
+  if (contactObject) {
+    const existingField = await knex('field_definitions')
+      .where({
+        objectDefinitionId: contactObject.id,
+        apiName: 'ownerId',
+      })
+      .first();
+
+    if (!existingField) {
+      await knex('field_definitions').insert({
+        id: knex.raw('(UUID())'),
+        objectDefinitionId: contactObject.id,
+        apiName: 'ownerId',
+        label: 'Owner',
+        type: 'Reference',
+        referenceObject: 'User',
+        isSystem: true,
+        isCustom: false,
+        displayOrder: 4,
+        created_at: knex.fn.now(),
+        updated_at: knex.fn.now(),
+      });
+    }
+  }
+};
+
+exports.down = async function (knex) {
+  const contactObject = await knex('object_definitions')
+    .where('apiName', 'Contact')
+    .first();
+
+  if (contactObject) {
+    await knex('field_definitions')
+      .where({
+        objectDefinitionId: contactObject.id,
+        apiName: 'ownerId',
+      })
+      .delete();
+  }
+
+  await knex.schema.alterTable('contacts', (table) => {
+    table.dropForeign(['ownerId']);
+    table.dropColumn('ownerId');
+  });
+};

backend/migrations/tenant/20250321000001_create_ai_processes_module.js

@@ -0,0 +1,72 @@
+exports.up = async function (knex) {
+  await knex.schema.createTable('ai_processes', (table) => {
+    table.uuid('id').primary();
+    table.string('name').notNullable();
+    table.text('description');
+    table.integer('latest_version').notNullable().defaultTo(1);
+    table.string('created_by').notNullable();
+    table.timestamp('created_at').defaultTo(knex.fn.now());
+    table.timestamp('updated_at').defaultTo(knex.fn.now());
+  });
+
+  await knex.schema.createTable('ai_process_versions', (table) => {
+    table.uuid('id').primary();
+    table.uuid('process_id').notNullable();
+    table.integer('version').notNullable();
+    table.json('graph_json').notNullable();
+    table.json('compiled_json').notNullable();
+    table.string('created_by').notNullable();
+    table.timestamp('created_at').defaultTo(knex.fn.now());
+    table.unique(['process_id', 'version']);
+    table.index(['process_id']);
+  });
+
+  await knex.schema.createTable('ai_process_runs', (table) => {
+    table.uuid('id').primary();
+    table.uuid('process_id').notNullable();
+    table.integer('version').notNullable();
+    table.string('status').notNullable();
+    table.json('input_json').notNullable();
+    table.json('output_json');
+    table.json('error_json');
+    table.json('state_json');
+    table.string('current_node_id');
+    table.timestamp('started_at').defaultTo(knex.fn.now());
+    table.timestamp('ended_at');
+    table.index(['process_id']);
+  });
+
+  await knex.schema.createTable('ai_chat_sessions', (table) => {
+    table.uuid('id').primary();
+    table.string('user_id').notNullable();
+    table.timestamp('created_at').defaultTo(knex.fn.now());
+    table.index(['user_id']);
+  });
+
+  await knex.schema.createTable('ai_chat_messages', (table) => {
+    table.uuid('id').primary();
+    table.uuid('session_id').notNullable();
+    table.string('role').notNullable();
+    table.text('content').notNullable();
+    table.timestamp('created_at').defaultTo(knex.fn.now());
+    table.index(['session_id']);
+  });
+
+  await knex.schema.createTable('ai_audit_events', (table) => {
+    table.uuid('id').primary();
+    table.uuid('run_id').notNullable();
+    table.string('event_type').notNullable();
+    table.json('payload_json').notNullable();
+    table.timestamp('created_at').defaultTo(knex.fn.now());
+    table.index(['run_id']);
+  });
+};
+
+exports.down = async function (knex) {
+  await knex.schema.dropTableIfExists('ai_audit_events');
+  await knex.schema.dropTableIfExists('ai_chat_messages');
+  await knex.schema.dropTableIfExists('ai_chat_sessions');
+  await knex.schema.dropTableIfExists('ai_process_runs');
+  await knex.schema.dropTableIfExists('ai_process_versions');
+  await knex.schema.dropTableIfExists('ai_processes');
+};

backend/migrations/tenant/20250321000002_create_ai_tool_configs.js

@@ -0,0 +1,14 @@
+exports.up = async function (knex) {
+  await knex.schema.createTable('ai_tool_configs', (table) => {
+    table.uuid('id').primary();
+    table.string('tool_name').notNullable().unique();
+    table.boolean('enabled').notNullable().defaultTo(true);
+    table.json('config_json');
+    table.timestamp('created_at').defaultTo(knex.fn.now());
+    table.timestamp('updated_at').defaultTo(knex.fn.now());
+  });
+};
+
+exports.down = async function (knex) {
+  await knex.schema.dropTableIfExists('ai_tool_configs');
+};

backend/package.json

@@ -23,10 +23,15 @@
     "migrate:rollback": "knex migrate:rollback --knexfile=knexfile.js",
     "migrate:status": "ts-node -r tsconfig-paths/register scripts/check-migration-status.ts",
     "migrate:tenant": "ts-node -r tsconfig-paths/register scripts/migrate-tenant.ts",
-    "migrate:all-tenants": "ts-node -r tsconfig-paths/register scripts/migrate-all-tenants.ts"
+    "migrate:all-tenants": "ts-node -r tsconfig-paths/register scripts/migrate-all-tenants.ts",
+    "seed:demo-process": "ts-node -r tsconfig-paths/register scripts/seed-demo-process.ts"
   },
   "dependencies": {
     "@casl/ability": "^6.7.5",
+    "@fastify/websocket": "^10.0.1",
+    "@langchain/core": "^1.1.12",
+    "@langchain/langgraph": "^1.0.15",
+    "@langchain/openai": "^1.2.1",
     "@nestjs/bullmq": "^10.1.0",
     "@nestjs/common": "^10.3.0",
     "@nestjs/config": "^3.1.1",
@@ -34,19 +39,31 @@
     "@nestjs/jwt": "^10.2.0",
     "@nestjs/passport": "^10.0.3",
     "@nestjs/platform-fastify": "^10.3.0",
+    "@nestjs/platform-socket.io": "^10.4.20",
+    "@nestjs/serve-static": "^4.0.2",
+    "@nestjs/websockets": "^10.4.20",
     "@prisma/client": "^5.8.0",
+    "@types/json-logic-js": "^2.0.8",
+    "ajv": "^8.17.1",
+    "ajv-formats": "^3.0.1",
     "bcrypt": "^5.1.1",
     "bullmq": "^5.1.0",
     "class-transformer": "^0.5.1",
     "class-validator": "^0.14.1",
     "ioredis": "^5.3.2",
+    "json-logic-js": "^2.0.5",
     "knex": "^3.1.0",
+    "langchain": "^1.2.7",
     "mysql2": "^3.15.3",
     "objection": "^3.1.5",
+    "openai": "^6.15.0",
     "passport": "^0.7.0",
     "passport-jwt": "^4.0.1",
     "reflect-metadata": "^0.2.1",
-    "rxjs": "^7.8.1"
+    "rxjs": "^7.8.1",
+    "socket.io": "^4.8.3",
+    "twilio": "^5.11.1",
+    "ws": "^8.18.3"
   },
   "devDependencies": {
     "@nestjs/cli": "^10.3.0",

backend/prisma/migrations/20260103054426_add_integrations_config/migration.sql

@@ -0,0 +1,2 @@
+-- AlterTable
+ALTER TABLE `tenants` ADD COLUMN `integrationsConfig` JSON NULL;

backend/prisma/schema-central.prisma

@@ -32,6 +32,7 @@ model Tenant {
   dbName             String   // Database name
   dbUsername         String   // Database username
   dbPassword         String   // Encrypted database password
+  integrationsConfig Json?    // Encrypted JSON config for external services (Twilio, OpenAI, etc.)
   status             String   @default("active") // active, suspended, deleted
   createdAt          DateTime @default(now())
   updatedAt          DateTime @updatedAt

backend/prisma/schema.prisma

@@ -146,11 +146,136 @@ model Account {
   updatedAt DateTime @updatedAt
 
   owner    User     @relation(fields: [ownerId], references: [id])
+  contacts Contact[]
 
   @@index([ownerId])
   @@map("accounts")
 }
 
+model Contact {
+  id        String   @id @default(uuid())
+  firstName String
+  lastName  String
+  accountId String
+  createdAt DateTime @default(now())
+  updatedAt DateTime @updatedAt
+
+  account Account @relation(fields: [accountId], references: [id], onDelete: Cascade)
+
+  @@index([accountId])
+  @@map("contacts")
+}
+
+model ContactDetail {
+  id                String   @id @default(uuid())
+  relatedObjectType String
+  relatedObjectId   String
+  detailType        String
+  label             String?
+  value             String
+  isPrimary         Boolean  @default(false)
+  createdAt         DateTime @default(now())
+  updatedAt         DateTime @updatedAt
+
+  @@index([relatedObjectType, relatedObjectId])
+  @@map("contact_details")
+}
+
+// AI Process Builder + Chat Orchestrator
+model AiProcess {
+  id            String   @id @default(uuid())
+  tenantId      String   @map("tenant_id")
+  name          String
+  description   String?  @db.Text
+  latestVersion Int      @default(1) @map("latest_version")
+  createdBy     String   @map("created_by")
+  createdAt     DateTime @default(now()) @map("created_at")
+  updatedAt     DateTime @updatedAt @map("updated_at")
+
+  versions AiProcessVersion[]
+  runs     AiProcessRun[]
+
+  @@index([tenantId])
+  @@map("ai_processes")
+}
+
+model AiProcessVersion {
+  id          String   @id @default(uuid())
+  tenantId    String   @map("tenant_id")
+  processId   String   @map("process_id")
+  version     Int
+  graphJson   Json     @map("graph_json")
+  compiledJson Json    @map("compiled_json")
+  createdBy   String   @map("created_by")
+  createdAt   DateTime @default(now()) @map("created_at")
+
+  process AiProcess @relation(fields: [processId], references: [id], onDelete: Cascade)
+
+  @@unique([processId, version])
+  @@index([tenantId])
+  @@map("ai_process_versions")
+}
+
+model AiProcessRun {
+  id           String   @id @default(uuid())
+  tenantId     String   @map("tenant_id")
+  processId    String   @map("process_id")
+  version      Int
+  status       String
+  inputJson    Json     @map("input_json")
+  outputJson   Json?    @map("output_json")
+  errorJson    Json?    @map("error_json")
+  stateJson    Json?    @map("state_json")
+  currentNodeId String? @map("current_node_id")
+  startedAt    DateTime @default(now()) @map("started_at")
+  endedAt      DateTime? @map("ended_at")
+
+  process AiProcess @relation(fields: [processId], references: [id], onDelete: Cascade)
+
+  @@index([tenantId])
+  @@index([processId])
+  @@map("ai_process_runs")
+}
+
+model AiChatSession {
+  id        String   @id @default(uuid())
+  tenantId  String   @map("tenant_id")
+  userId    String   @map("user_id")
+  createdAt DateTime @default(now()) @map("created_at")
+
+  messages AiChatMessage[]
+
+  @@index([tenantId])
+  @@index([userId])
+  @@map("ai_chat_sessions")
+}
+
+model AiChatMessage {
+  id        String   @id @default(uuid())
+  sessionId String   @map("session_id")
+  role      String
+  content   String   @db.Text
+  createdAt DateTime @default(now()) @map("created_at")
+
+  session AiChatSession @relation(fields: [sessionId], references: [id], onDelete: Cascade)
+
+  @@index([sessionId])
+  @@map("ai_chat_messages")
+}
+
+model AiAuditEvent {
+  id         String   @id @default(uuid())
+  tenantId   String   @map("tenant_id")
+  runId      String   @map("run_id")
+  eventType  String   @map("event_type")
+  payloadJson Json    @map("payload_json")
+  createdAt  DateTime @default(now()) @map("created_at")
+
+  @@index([tenantId])
+  @@index([runId])
+  @@map("ai_audit_events")
+}
+
 // Application Builder
 model App {
   id          String   @id @default(uuid())

backend/scripts/seed-demo-process.ts

@@ -0,0 +1,332 @@
+import { randomUUID } from 'crypto';
+import { AiProcess, AiProcessVersion, AiToolConfig } from '../src/models/ai-process.model';
+
+// Bootstrap NestJS to get proper services
+async function getTenantContext(tenantSlugOrId: string) {
+  const { NestFactory } = await import('@nestjs/core');
+  const { AppModule } = await import('../src/app.module');
+  const { TenantDatabaseService } = await import('../src/tenant/tenant-database.service');
+  
+  // Create app context (without listening)
+  const app = await NestFactory.createApplicationContext(AppModule, {
+    logger: false,
+  });
+  
+  const tenantDbService = app.get(TenantDatabaseService);
+  
+  // Resolve tenant ID
+  const tenantId = await tenantDbService.resolveTenantId(tenantSlugOrId);
+  
+  // Get proper Knex connection
+  const knex = await tenantDbService.getTenantKnexById(tenantId);
+  
+  return { tenantId, knex, app };
+}
+
+/**
+ * Seed script for demo AI Process: Register New Pet
+ * 
+ * This process demonstrates:
+ * - Conditional logic (find or create account/contact)
+ * - Tool usage (findAccount, createAccount, findContact, createContact, createPet)
+ * - Sequential execution
+ * - LLM decision nodes with structured JSON output
+ * 
+ * Usage:
+ *   npm run seed:demo-process -- <tenant-slug-or-id>
+ */
+
+const demoProcessGraph = {
+  id: 'register_new_pet',
+  name: 'Register New Pet',
+  description: 'Complete pet registration workflow with account and contact resolution',
+  allowCycles: false,
+  nodes: [
+    {
+      id: 'start',
+      type: 'Start',
+      position: { x: 250, y: 50 },
+      data: { label: 'Start' },
+    },
+    {
+      id: 'extract_info',
+      type: 'LLMDecisionNode',
+      position: { x: 250, y: 150 },
+      data: {
+        label: 'Extract Pet Info',
+        promptTemplate: `Extract pet registration information from the user message.
+
+User message: {{state.message}}
+
+Extract:
+- Pet name (required)
+- Pet species (required, e.g., "dog", "cat", "bird")
+- Pet breed (optional)
+- Pet age (optional, as number)
+- Owner first name (required)
+- Owner last name (required)
+- Owner email (optional)
+- Owner phone (optional)
+- Account/Company name (optional, defaults to owner's full name)
+
+Return JSON with these exact fields.`,
+        inputKeys: ['message'],
+        outputSchema: {
+          type: 'object',
+          properties: {
+            petName: { type: 'string' },
+            species: { type: 'string' },
+            breed: { type: 'string' },
+            age: { type: 'number' },
+            ownerFirstName: { type: 'string' },
+            ownerLastName: { type: 'string' },
+            ownerEmail: { type: 'string' },
+            ownerPhone: { type: 'string' },
+            accountName: { type: 'string' },
+          },
+          required: ['petName', 'species', 'ownerFirstName', 'ownerLastName'],
+        },
+        model: { name: 'gpt-4o', temperature: 0 },
+      },
+    },
+    {
+      id: 'find_account',
+      type: 'ToolNode',
+      position: { x: 250, y: 280 },
+      data: {
+        label: 'Find Account',
+        toolName: 'findAccount',
+        argsTemplate: {
+          name: '{{state.accountName}}',
+          email: '{{state.ownerEmail}}',
+        },
+        outputMapping: {
+          found: 'accountFound',
+          accountId: 'accountId',
+        },
+      },
+    },
+    {
+      id: 'create_account',
+      type: 'ToolNode',
+      position: { x: 450, y: 380 },
+      data: {
+        label: 'Create Account',
+        toolName: 'createAccount',
+        argsTemplate: {
+          name: '{{state.accountName}}',
+          email: '{{state.ownerEmail}}',
+          phone: '{{state.ownerPhone}}',
+        },
+        outputMapping: {
+          accountId: 'accountId',
+        },
+      },
+    },
+    {
+      id: 'find_contact',
+      type: 'ToolNode',
+      position: { x: 250, y: 480 },
+      data: {
+        label: 'Find Contact',
+        toolName: 'findContact',
+        argsTemplate: {
+          firstName: '{{state.ownerFirstName}}',
+          lastName: '{{state.ownerLastName}}',
+          email: '{{state.ownerEmail}}',
+          accountId: '{{state.accountId}}',
+        },
+        outputMapping: {
+          found: 'contactFound',
+          contactId: 'contactId',
+        },
+      },
+    },
+    {
+      id: 'create_contact',
+      type: 'ToolNode',
+      position: { x: 450, y: 580 },
+      data: {
+        label: 'Create Contact',
+        toolName: 'createContact',
+        argsTemplate: {
+          firstName: '{{state.ownerFirstName}}',
+          lastName: '{{state.ownerLastName}}',
+          email: '{{state.ownerEmail}}',
+          phone: '{{state.ownerPhone}}',
+          accountId: '{{state.accountId}}',
+        },
+        outputMapping: {
+          contactId: 'contactId',
+        },
+      },
+    },
+    {
+      id: 'create_pet',
+      type: 'ToolNode',
+      position: { x: 250, y: 680 },
+      data: {
+        label: 'Create Pet Record',
+        toolName: 'createPet',
+        argsTemplate: {
+          name: '{{state.petName}}',
+          species: '{{state.species}}',
+          breed: '{{state.breed}}',
+          age: '{{state.age}}',
+          ownerId: '{{state.contactId}}',
+        },
+        outputMapping: {
+          petId: 'petId',
+        },
+      },
+    },
+    {
+      id: 'end',
+      type: 'End',
+      position: { x: 250, y: 780 },
+      data: { label: 'End' },
+    },
+  ],
+  edges: [
+    { id: 'e1', source: 'start', target: 'extract_info' },
+    { id: 'e2', source: 'extract_info', target: 'find_account' },
+    {
+      id: 'e3',
+      source: 'find_account',
+      target: 'find_contact',
+      condition: { '==': [{ var: 'accountFound' }, true] },
+    },
+    {
+      id: 'e4',
+      source: 'find_account',
+      target: 'create_account',
+      condition: { '==': [{ var: 'accountFound' }, false] },
+    },
+    { id: 'e5', source: 'create_account', target: 'find_contact' },
+    {
+      id: 'e6',
+      source: 'find_contact',
+      target: 'create_pet',
+      condition: { '==': [{ var: 'contactFound' }, true] },
+    },
+    {
+      id: 'e7',
+      source: 'find_contact',
+      target: 'create_contact',
+      condition: { '==': [{ var: 'contactFound' }, false] },
+    },
+    { id: 'e8', source: 'create_contact', target: 'create_pet' },
+    { id: 'e9', source: 'create_pet', target: 'end' },
+  ],
+};
+
+const demoTools = [
+  'findAccount',
+  'createAccount',
+  'findContact',
+  'createContact',
+  'createPet',
+];
+
+async function seedDemoProcess(tenantSlugOrId: string) {
+  let app;
+  try {
+    console.log(`\n🌱 Seeding demo AI process for tenant: ${tenantSlugOrId}\n`);
+
+    const context = await getTenantContext(tenantSlugOrId);
+    const { tenantId, knex, app: nestApp } = context;
+    app = nestApp;
+    
+    console.log(`✓ Resolved tenant ID: ${tenantId}`);
+    console.log(`✓ Connected to tenant database`);
+
+    // Check if process already exists
+    const existing = await AiProcess.query(knex)
+      .where('name', demoProcessGraph.name)
+      .first();
+
+    if (existing) {
+      console.log(`⚠ Process "${demoProcessGraph.name}" already exists (ID: ${existing.id})`);
+      console.log(`  To create a new version, update via the UI.`);
+      return;
+    }
+
+    // Create process in transaction
+    await knex.transaction(async (trx) => {
+      const processId = randomUUID();
+      const userId = 'system'; // System user for seed data
+
+      // Create process
+      await AiProcess.query(trx).insert({
+        id: processId,
+        name: demoProcessGraph.name,
+        description: demoProcessGraph.description,
+        latestVersion: 1,
+        createdBy: userId,
+      });
+      console.log(`✓ Created process: ${demoProcessGraph.name} (${processId})`);
+
+      // Create initial version
+      // Note: In production, this would call the compiler service
+      // For seed, we're storing a simplified version
+      await AiProcessVersion.query(trx).insert({
+        id: randomUUID(),
+        processId,
+        version: 1,
+        graphJson: demoProcessGraph,
+        compiledJson: {
+          graphId: demoProcessGraph.id,
+          version: 1,
+          nodes: demoProcessGraph.nodes,
+          edges: demoProcessGraph.edges,
+          startNodeId: 'start',
+          endNodeIds: ['end'],
+          adjacency: {},
+        },
+        createdBy: userId,
+      });
+      console.log(`✓ Created process version 1`);
+
+      // Enable demo tools for tenant
+      for (const toolName of demoTools) {
+        const existingTool = await AiToolConfig.query(trx)
+          .where('tool_name', toolName)
+          .first();
+
+        if (!existingTool) {
+          await AiToolConfig.query(trx).insert({
+            id: randomUUID(),
+            toolName,
+            enabled: true,
+          });
+          console.log(`✓ Enabled tool: ${toolName}`);
+        }
+      }
+    });
+
+    console.log(`\n✅ Demo process seeded successfully!\n`);
+    console.log(`Next steps:`);
+    console.log(`  1. Navigate to /ai-processes in your frontend`);
+    console.log(`  2. Open the "${demoProcessGraph.name}" process`);
+    console.log(`  3. Test it by sending a message like:`);
+    console.log(`     "Register a dog named Max, owned by John Smith (john@email.com)"`);
+    console.log();
+
+    if (app) await app.close();
+    process.exit(0);
+  } catch (error) {
+    console.error('❌ Seed failed:', error);
+    if (app) await app.close();
+    process.exit(1);
+  }
+}
+
+// Get tenant from command line args
+const tenantSlugOrId = process.argv[2];
+
+if (!tenantSlugOrId) {
+  console.error('Usage: npm run seed:demo-process -- <tenant-slug-or-id>');
+  process.exit(1);
+}
+
+seedDemoProcess(tenantSlugOrId);

backend/src/ai-assistant/ai-assistant.controller.ts

@@ -0,0 +1,41 @@
+import { Body, Controller, Post, UseGuards } from '@nestjs/common';
+import { JwtAuthGuard } from '../auth/jwt-auth.guard';
+import { CurrentUser } from '../auth/current-user.decorator';
+import { TenantId } from '../tenant/tenant.decorator';
+import { AiAssistantService } from './ai-assistant.service';
+import { AiChatRequestDto } from './dto/ai-chat.dto';
+import { AiSearchRequestDto } from './dto/ai-search.dto';
+
+@Controller('ai')
+@UseGuards(JwtAuthGuard)
+export class AiAssistantController {
+  constructor(private readonly aiAssistantService: AiAssistantService) {}
+
+  @Post('chat')
+  async chat(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Body() payload: AiChatRequestDto,
+  ) {
+    return this.aiAssistantService.handleChat(
+      tenantId,
+      user.userId,
+      payload.message,
+      payload.history,
+      payload.context,
+    );
+  }
+
+  @Post('search')
+  async search(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Body() payload: AiSearchRequestDto,
+  ) {
+    return this.aiAssistantService.searchRecords(
+      tenantId,
+      user.userId,
+      payload,
+    );
+  }
+}

backend/src/ai-assistant/ai-assistant.module.ts

@@ -0,0 +1,15 @@
+import { Module } from '@nestjs/common';
+import { AiAssistantController } from './ai-assistant.controller';
+import { AiAssistantService } from './ai-assistant.service';
+import { ObjectModule } from '../object/object.module';
+import { PageLayoutModule } from '../page-layout/page-layout.module';
+import { TenantModule } from '../tenant/tenant.module';
+import { MeilisearchModule } from '../search/meilisearch.module';
+
+@Module({
+  imports: [ObjectModule, PageLayoutModule, TenantModule, MeilisearchModule],
+  controllers: [AiAssistantController],
+  providers: [AiAssistantService],
+  exports: [AiAssistantService],
+})
+export class AiAssistantModule {}

backend/src/ai-assistant/ai-assistant.types.ts

@@ -0,0 +1,32 @@
+export interface AiChatMessage {
+  role: 'user' | 'assistant';
+  text: string;
+}
+
+export interface AiChatContext {
+  objectApiName?: string;
+  view?: string;
+  recordId?: string;
+  route?: string;
+}
+
+export interface AiAssistantReply {
+  reply: string;
+  action?: 'create_record' | 'collect_fields' | 'clarify';
+  missingFields?: string[];
+  record?: any;
+}
+
+export interface AiAssistantState {
+  message: string;
+  history?: AiChatMessage[];
+  context: AiChatContext;
+  objectDefinition?: any;
+  pageLayout?: any;
+  extractedFields?: Record<string, any>;
+  requiredFields?: string[];
+  missingFields?: string[];
+  action?: AiAssistantReply['action'];
+  record?: any;
+  reply?: string;
+}

backend/src/ai-assistant/dto/ai-chat.dto.ts

@@ -0,0 +1,36 @@
+import { Type } from 'class-transformer';
+import { IsNotEmpty, IsObject, IsOptional, IsString, ValidateNested } from 'class-validator';
+import { AiChatMessageDto } from './ai-chat.message.dto';
+
+export class AiChatContextDto {
+  @IsOptional()
+  @IsString()
+  objectApiName?: string;
+
+  @IsOptional()
+  @IsString()
+  view?: string;
+
+  @IsOptional()
+  @IsString()
+  recordId?: string;
+
+  @IsOptional()
+  @IsString()
+  route?: string;
+}
+
+export class AiChatRequestDto {
+  @IsString()
+  @IsNotEmpty()
+  message: string;
+
+  @IsOptional()
+  @IsObject()
+  context?: AiChatContextDto;
+
+  @IsOptional()
+  @ValidateNested({ each: true })
+  @Type(() => AiChatMessageDto)
+  history?: AiChatMessageDto[];
+}

backend/src/ai-assistant/dto/ai-chat.message.dto.ts

@@ -0,0 +1,10 @@
+import { IsIn, IsNotEmpty, IsString } from 'class-validator';
+
+export class AiChatMessageDto {
+  @IsIn(['user', 'assistant'])
+  role: 'user' | 'assistant';
+
+  @IsString()
+  @IsNotEmpty()
+  text: string;
+}

backend/src/ai-assistant/dto/ai-search.dto.ts

@@ -0,0 +1,22 @@
+import { Type } from 'class-transformer';
+import { IsNotEmpty, IsOptional, IsString, IsNumber } from 'class-validator';
+
+export class AiSearchRequestDto {
+  @IsString()
+  @IsNotEmpty()
+  objectApiName: string;
+
+  @IsString()
+  @IsNotEmpty()
+  query: string;
+
+  @IsOptional()
+  @Type(() => Number)
+  @IsNumber()
+  page?: number;
+
+  @IsOptional()
+  @Type(() => Number)
+  @IsNumber()
+  pageSize?: number;
+}

backend/src/ai-processes/__tests__/ai-processes.compiler.spec.ts

@@ -0,0 +1,25 @@
+import { compileProcessGraph, GraphValidationError } from '../ai-processes.compiler';
+import { demoRegisterNewPetProcess } from '../demo-process';
+
+describe('ai-processes compiler', () => {
+  it('throws when missing start node', () => {
+    const badGraph = {
+      ...demoRegisterNewPetProcess,
+      nodes: demoRegisterNewPetProcess.nodes.filter((n) => n.type !== 'Start'),
+    };
+
+    expect(() =>
+      compileProcessGraph(badGraph, { tenantId: 'default', version: 1 }),
+    ).toThrow(GraphValidationError);
+  });
+
+  it('compiles the demo process graph', () => {
+    const compiled = compileProcessGraph(demoRegisterNewPetProcess, {
+      tenantId: 'default',
+      version: 1,
+    });
+
+    expect(compiled.startNodeId).toBe('start');
+    expect(compiled.endNodeIds).toContain('end');
+  });
+});

backend/src/ai-processes/__tests__/ai-processes.runner.spec.ts

@@ -0,0 +1,40 @@
+import { compileProcessGraph } from '../ai-processes.compiler';
+import { demoRegisterNewPetProcess } from '../demo-process';
+import { runCompiledGraph } from '../ai-processes.runner';
+import { ToolRegistry } from '../tools/tool-registry';
+
+describe('ai-processes runner', () => {
+  it('runs the demo process until human input is required', async () => {
+    const compiled = compileProcessGraph(demoRegisterNewPetProcess, {
+      tenantId: 'default',
+      version: 1,
+    });
+
+    const result = await runCompiledGraph({
+      compiledGraph: compiled,
+      input: {
+        accountName: 'Acme Inc',
+        firstName: 'Jamie',
+        lastName: 'Doe',
+      },
+      toolRegistry: new ToolRegistry(),
+      toolContext: { tenantId: 'default', userId: 'user-1' },
+      llmDecision: async (node, state) => {
+        if (node.id === 'decide_account') {
+          return { accountAction: 'find', accountName: state.accountName };
+        }
+        if (node.id === 'decide_contact') {
+          return {
+            contactAction: 'find',
+            firstName: state.firstName,
+            lastName: state.lastName,
+          };
+        }
+        return {};
+      },
+    });
+
+    expect(result.status).toBe('waiting');
+    expect(result.currentNodeId).toBe('need_pet');
+  });
+});

backend/src/ai-processes/ai-processes.compiler.ts

@@ -0,0 +1,191 @@
+import { apply as applyJsonLogic } from 'json-logic-js';
+import { createAjv } from './ai-processes.schemas';
+import {
+  CompiledGraph,
+  ProcessGraphDefinition,
+  ProcessGraphEdge,
+  ProcessGraphNode,
+} from './ai-processes.types';
+import { ToolRegistry } from './tools/tool-registry';
+
+export class GraphValidationError extends Error {
+  constructor(message: string) {
+    super(message);
+    this.name = 'GraphValidationError';
+  }
+}
+
+export interface CompileOptions {
+  tenantId: string;
+  version: number;
+}
+
+export const validateGraphDefinition = (
+  graph: ProcessGraphDefinition,
+  tenantId: string,
+) => {
+  const ajv = createAjv();
+  const validate = ajv.getSchema<ProcessGraphDefinition>('processGraph');
+  if (!validate) {
+    throw new GraphValidationError('Graph schema is not registered.');
+  }
+  const valid = validate(graph);
+  if (!valid) {
+    throw new GraphValidationError(
+      `Graph schema validation failed: ${ajv.errorsText(validate.errors)}`,
+    );
+  }
+
+  const startNodes = graph.nodes.filter((node) => node.type === 'Start');
+  const endNodes = graph.nodes.filter((node) => node.type === 'End');
+
+  if (startNodes.length !== 1) {
+    throw new GraphValidationError('Graph must contain exactly one Start node.');
+  }
+  if (endNodes.length < 1) {
+    throw new GraphValidationError('Graph must contain at least one End node.');
+  }
+
+  const nodeIds = new Set(graph.nodes.map((node) => node.id));
+  graph.edges.forEach((edge) => {
+    if (!nodeIds.has(edge.source) || !nodeIds.has(edge.target)) {
+      throw new GraphValidationError(`Edge ${edge.id} references unknown nodes.`);
+    }
+  });
+
+  const adjacency = buildAdjacency(graph.edges);
+  const reachable = new Set<string>();
+  const queue = [startNodes[0].id];
+
+  while (queue.length) {
+    const current = queue.shift();
+    if (!current || reachable.has(current)) continue;
+    reachable.add(current);
+    (adjacency[current] || []).forEach((neighbor) => queue.push(neighbor));
+  }
+
+  graph.nodes.forEach((node) => {
+    if (!reachable.has(node.id)) {
+      throw new GraphValidationError(`Node ${node.id} is not reachable.`);
+    }
+  });
+
+  if (!graph.allowCycles && hasCycle(graph.nodes, graph.edges)) {
+    throw new GraphValidationError('Graph contains cycles but allowCycles=false.');
+  }
+
+  const toolRegistry = new ToolRegistry();
+  const allToolNames = toolRegistry.getAllToolNames();
+  
+  graph.nodes.forEach((node) => {
+    if (node.type === 'ToolNode') {
+      const toolName = (node.data as { toolName?: string }).toolName;
+      if (!toolName) {
+        throw new GraphValidationError(
+          `ToolNode ${node.id} missing toolName configuration.`,
+        );
+      }
+      // Validate tool exists in registry (allowlist check happens at runtime)
+      if (!allToolNames.includes(toolName)) {
+        throw new GraphValidationError(
+          `Tool ${toolName} is not registered in the tool registry.`,
+        );
+      }
+    }
+    if (node.type === 'LLMDecisionNode') {
+      const data = node.data as {
+        promptTemplate?: string;
+        inputKeys?: string[];
+        outputSchema?: Record<string, unknown>;
+        model?: { name?: string; temperature?: number };
+      };
+      if (!data.promptTemplate || !data.outputSchema || !data.model?.name) {
+        throw new GraphValidationError(
+          `LLMDecisionNode ${node.id} missing required configuration.`,
+        );
+      }
+    }
+    if (node.type === 'HumanInputNode') {
+      const data = node.data as {
+        requiredFieldsSchema?: Record<string, unknown>;
+        promptToUser?: string;
+      };
+      if (!data.requiredFieldsSchema || !data.promptToUser) {
+        throw new GraphValidationError(
+          `HumanInputNode ${node.id} missing required configuration.`,
+        );
+      }
+    }
+  });
+
+  graph.edges.forEach((edge) => {
+    if (edge.condition) {
+      try {
+        applyJsonLogic(edge.condition, {});
+      } catch (error) {
+        throw new GraphValidationError(
+          `Edge ${edge.id} has invalid json-logic condition.`,
+        );
+      }
+    }
+  });
+};
+
+export const compileProcessGraph = (
+  graph: ProcessGraphDefinition,
+  options: CompileOptions,
+): CompiledGraph => {
+  validateGraphDefinition(graph, options.tenantId);
+
+  const startNodeId = graph.nodes.find((node) => node.type === 'Start')?.id;
+  if (!startNodeId) {
+    throw new GraphValidationError('Start node missing after validation.');
+  }
+
+  const endNodeIds = graph.nodes
+    .filter((node) => node.type === 'End')
+    .map((node) => node.id);
+
+  return {
+    graphId: graph.id,
+    version: options.version,
+    nodes: graph.nodes,
+    edges: graph.edges,
+    startNodeId,
+    endNodeIds,
+    adjacency: buildAdjacency(graph.edges),
+    allowCycles: graph.allowCycles,
+    maxIterations: graph.maxIterations,
+  };
+};
+
+const buildAdjacency = (edges: ProcessGraphEdge[]) => {
+  return edges.reduce<Record<string, string[]>>((acc, edge) => {
+    if (!acc[edge.source]) {
+      acc[edge.source] = [];
+    }
+    acc[edge.source].push(edge.target);
+    return acc;
+  }, {});
+};
+
+const hasCycle = (nodes: ProcessGraphNode[], edges: ProcessGraphEdge[]) => {
+  const adjacency = buildAdjacency(edges);
+  const visited = new Set<string>();
+  const stack = new Set<string>();
+
+  const visit = (nodeId: string): boolean => {
+    if (stack.has(nodeId)) return true;
+    if (visited.has(nodeId)) return false;
+    visited.add(nodeId);
+    stack.add(nodeId);
+    const neighbors = adjacency[nodeId] || [];
+    for (const neighbor of neighbors) {
+      if (visit(neighbor)) return true;
+    }
+    stack.delete(nodeId);
+    return false;
+  };
+
+  return nodes.some((node) => visit(node.id));
+};

backend/src/ai-processes/ai-processes.controller.ts

@@ -0,0 +1,144 @@
+import {
+  Body,
+  Controller,
+  Get,
+  Param,
+  Post,
+  Put,
+  Query,
+  Sse,
+  UseGuards,
+} from '@nestjs/common';
+import { JwtAuthGuard } from '../auth/jwt-auth.guard';
+import { CurrentUser } from '../auth/current-user.decorator';
+import { TenantId } from '../tenant/tenant.decorator';
+import { AiProcessesService } from './ai-processes.service';
+import { AiProcessesStreamService } from './ai-processes.stream.service';
+import { AiProcessesOrchestratorService } from './ai-processes.orchestrator.service';
+import { CreateAiProcessDto, UpdateAiProcessDto } from './dto/ai-process.dto';
+import { CreateAiRunDto, ResumeAiRunDto } from './dto/ai-run.dto';
+import { CreateChatSessionDto, SendChatMessageDto } from './dto/ai-chat.dto';
+
+@Controller('tenants/:tenantId')
+@UseGuards(JwtAuthGuard)
+export class AiProcessesController {
+  constructor(
+    private readonly processesService: AiProcessesService,
+    private readonly streamService: AiProcessesStreamService,
+    private readonly orchestratorService: AiProcessesOrchestratorService,
+  ) {}
+
+  @Get('ai-processes')
+  async listProcesses(@TenantId() tenantId: string) {
+    return this.processesService.listProcesses(tenantId);
+  }
+
+  @Post('ai-processes')
+  async createProcess(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Body() payload: CreateAiProcessDto,
+  ) {
+    return this.processesService.createProcess(
+      tenantId,
+      user.userId,
+      payload.name,
+      payload.description,
+      payload.graph,
+    );
+  }
+
+  @Put('ai-processes/:processId')
+  async updateProcess(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Param('processId') processId: string,
+    @Body() payload: UpdateAiProcessDto,
+  ) {
+    return this.processesService.createProcessVersion(
+      tenantId,
+      user.userId,
+      processId,
+      payload.graph,
+    );
+  }
+
+  @Get('ai-processes/:processId/versions')
+  async listVersions(
+    @TenantId() tenantId: string,
+    @Param('processId') processId: string,
+  ) {
+    return this.processesService.listProcessVersions(tenantId, processId);
+  }
+
+  @Post('ai-processes/:processId/runs')
+  async createRun(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Param('processId') processId: string,
+    @Body() payload: CreateAiRunDto,
+  ) {
+    return this.processesService.createRun(
+      tenantId,
+      user.userId,
+      processId,
+      payload.input,
+      payload.sessionId,
+      payload.sessionId
+        ? (event) => this.streamService.emit(payload.sessionId as string, event)
+        : undefined,
+    );
+  }
+
+  @Post('ai-runs/:runId/resume')
+  async resumeRun(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Param('runId') runId: string,
+    @Body() payload: ResumeAiRunDto,
+  ) {
+    return this.processesService.resumeRun(
+      tenantId,
+      user.userId,
+      runId,
+      payload.input,
+      payload.sessionId,
+      payload.sessionId
+        ? (event) => this.streamService.emit(payload.sessionId as string, event)
+        : undefined,
+    );
+  }
+
+  @Post('ai-chat/sessions')
+  async createSession(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Body() _payload: CreateChatSessionDto,
+  ) {
+    return this.orchestratorService.createSession(tenantId, user.userId);
+  }
+
+  @Post('ai-chat/messages')
+  @Post('ai-processes/chat/messages')
+  async sendChatMessage(
+    @TenantId() tenantId: string,
+    @CurrentUser() user: any,
+    @Body() payload: SendChatMessageDto,
+  ) {
+    return this.orchestratorService.sendMessage(
+      tenantId,
+      user.userId,
+      payload.message,
+      payload.sessionId,
+      payload.processId,
+      payload.history,
+      payload.context,
+    );
+  }
+
+  @Sse('ai-chat/stream')
+  @Sse('ai-processes/stream')
+  streamChat(@Query('sessionId') sessionId: string) {
+    return this.streamService.getStream(sessionId);
+  }
+}

backend/src/ai-processes/ai-processes.module.ts

@@ -0,0 +1,19 @@
+import { Module } from '@nestjs/common';
+import { TenantModule } from '../tenant/tenant.module';
+import { AiAssistantModule } from '../ai-assistant/ai-assistant.module';
+import { AiProcessesController } from './ai-processes.controller';
+import { AiProcessesService } from './ai-processes.service';
+import { AiProcessesStreamService } from './ai-processes.stream.service';
+import { AiProcessesOrchestratorService } from './ai-processes.orchestrator.service';
+
+@Module({
+  imports: [TenantModule, AiAssistantModule],
+  controllers: [AiProcessesController],
+  providers: [
+    AiProcessesService,
+    AiProcessesStreamService,
+    AiProcessesOrchestratorService,
+  ],
+  exports: [AiProcessesService],
+})
+export class AiProcessesModule {}

backend/src/ai-processes/ai-processes.orchestrator.service.ts

@@ -0,0 +1,212 @@
+import { Injectable } from '@nestjs/common';
+import { Knex } from 'knex';
+import { AiProcessesService } from './ai-processes.service';
+import { AiProcessesStreamService } from './ai-processes.stream.service';
+import { AiAssistantService } from '../ai-assistant/ai-assistant.service';
+import { TenantDatabaseService } from '../tenant/tenant-database.service';
+import { AiChatMessage, AiChatSession } from '../models/ai-chat.model';
+import { DeepAgentOrchestrator } from './deep-agent.orchestrator';
+
+@Injectable()
+export class AiProcessesOrchestratorService {
+  constructor(
+    private readonly processesService: AiProcessesService,
+    private readonly streamService: AiProcessesStreamService,
+    private readonly tenantDbService: TenantDatabaseService,
+    private readonly aiAssistantService: AiAssistantService,
+  ) {}
+
+  private async getTenantContext(tenantId: string) {
+    const resolvedTenantId = await this.tenantDbService.resolveTenantId(tenantId);
+    const knex = await this.tenantDbService.getTenantKnexById(resolvedTenantId);
+    return { knex, tenantId: resolvedTenantId };
+  }
+
+  private async createSessionWithContext(
+    knex: Knex,
+    tenantId: string,
+    userId: string,
+  ) {
+    return AiChatSession.query(knex).insert({
+      userId,
+    });
+  }
+
+  async createSession(tenantId: string, userId: string) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+    return this.createSessionWithContext(knex, resolvedTenantId, userId);
+  }
+
+  async sendMessage(
+    tenantId: string,
+    userId: string,
+    message: string,
+    sessionId?: string,
+    processId?: string,
+    history?: { role: string; text: string }[],
+    context?: Record<string, unknown>,
+  ) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+
+    const session = sessionId
+      ? await AiChatSession.query(knex).findById(sessionId)
+      : await this.createSessionWithContext(knex, resolvedTenantId, userId);
+
+    if (!session) {
+      throw new Error('Chat session not found.');
+    }
+
+    await AiChatMessage.query(knex).insert({
+      sessionId: session.id,
+      role: 'user',
+      content: message,
+    });
+
+    this.streamService.emit(session.id, { type: 'agent_started' });
+
+    const processes = await this.processesService.listProcesses(resolvedTenantId);
+    this.streamService.emit(session.id, {
+      type: 'processes_listed',
+      data: { count: processes.length },
+    });
+
+    // If no processes configured, fallback to standard AI assistant
+    if (!processes.length) {
+      const response = await this.aiAssistantService.handleChat(
+        resolvedTenantId,
+        userId,
+        message,
+        (history ?? []) as any,
+        context ?? {},
+      );
+      this.streamService.emit(session.id, {
+        type: 'final',
+        data: { reply: response.reply, action: response.action },
+      });
+      
+      await AiChatMessage.query(knex).insert({
+        sessionId: session.id,
+        role: 'assistant',
+        content: response.reply,
+      });
+      
+      return {
+        sessionId: session.id,
+        reply: response.reply,
+        action: response.action,
+        record: response.record,
+      };
+    }
+
+    // Get OpenAI credentials from tenant integrations
+    const credentials = await this.aiAssistantService.getOpenAiConfig(resolvedTenantId);
+    if (!credentials?.apiKey) {
+      throw new Error('OpenAI credentials not configured for this tenant');
+    }
+
+    // Create Deep Agent with tenant's credentials
+    const deepAgent = new DeepAgentOrchestrator(credentials.apiKey, credentials.model);
+
+    // Use Deep Agent to select the best process
+    const processInfos = processes.map((p) => ({
+      id: p.id,
+      name: p.name,
+      description: p.description || undefined,
+    }));
+
+    const selection = await deepAgent.selectProcess(
+      message,
+      processInfos,
+      history as any,
+    );
+
+    // If we need more information or no match, respond with question
+    if (selection.action === 'need_more_info' || selection.action === 'no_match') {
+      const reply = selection.question || selection.reasoning || 
+        'I\'m not sure which process to use. Could you provide more details?';
+      
+      this.streamService.emit(session.id, {
+        type: 'final',
+        data: { reply, needsMoreInfo: true },
+      });
+
+      await AiChatMessage.query(knex).insert({
+        sessionId: session.id,
+        role: 'assistant',
+        content: reply,
+      });
+
+      return { sessionId: session.id, reply, needsMoreInfo: true };
+    }
+
+    // Process selected - find it and execute
+    const selectedProcess = processes.find((p) => p.id === selection.processId);
+    if (!selectedProcess) {
+      throw new Error('Selected process not found.');
+    }
+
+    this.streamService.emit(session.id, {
+      type: 'process_selected',
+      processId: selectedProcess.id,
+      version: selectedProcess.latestVersion,
+      data: { processName: selectedProcess.name, reasoning: selection.reasoning },
+    });
+
+    // Extract inputs from the message
+    // For now, we'll use a simple approach - just pass the message as input
+    // In a more sophisticated implementation, we'd use the deep agent to extract structured inputs
+    const startMessage = await deepAgent.generateStartMessage(
+      selectedProcess.name,
+      { message },
+    );
+
+    this.streamService.emit(session.id, {
+      type: 'agent_message',
+      data: { message: startMessage },
+    });
+
+    await AiChatMessage.query(knex).insert({
+      sessionId: session.id,
+      role: 'assistant',
+      content: startMessage,
+    });
+
+    const { run, result } = await this.processesService.createRun(
+      resolvedTenantId,
+      userId,
+      selectedProcess.id,
+      { message, context: context || {} },
+      session.id,
+      (payload) => this.streamService.emit(session.id, payload),
+    );
+
+    // Emit final event
+    this.streamService.emit(session.id, {
+      type: 'final',
+      data: {
+        runId: run.id,
+        status: result.status,
+        output: result.output,
+        message: result.status === 'completed'
+          ? '✅ Workflow completed successfully!'
+          : result.status === 'error'
+          ? `❌ Workflow failed: ${result.error?.message || 'Unknown error'}`
+          : '⏸️ Workflow paused',
+      },
+    });
+
+    await AiChatMessage.query(knex).insert({
+      sessionId: session.id,
+      role: 'assistant',
+      content: result.status === 'completed'
+        ? '✅ Workflow completed successfully!'
+        : result.status === 'error'
+        ? `❌ Workflow failed: ${result.error?.message || 'Unknown error'}`
+        : '⏸️ Workflow paused',
+    });
+
+    return { sessionId: session.id, runId: run.id, status: result.status };
+  }
+}

backend/src/ai-processes/ai-processes.runner.ts

@@ -0,0 +1,222 @@
+import { apply as applyJsonLogic } from 'json-logic-js';
+import Ajv from 'ajv';
+import { ToolRegistry, ToolContext } from './tools/tool-registry';
+import {
+  AiProcessEventPayload,
+  CompiledGraph,
+  ProcessGraphNode,
+} from './ai-processes.types';
+
+export interface RunOptions {
+  compiledGraph: CompiledGraph;
+  input: Record<string, unknown>;
+  toolRegistry: ToolRegistry;
+  toolContext: ToolContext;
+  onEvent?: (event: AiProcessEventPayload) => void;
+  llmDecision: (
+    node: ProcessGraphNode,
+    state: Record<string, unknown>,
+  ) => Promise<Record<string, unknown>>;
+}
+
+export interface RunResult {
+  status: 'running' | 'waiting' | 'completed' | 'error';
+  state: Record<string, unknown>;
+  currentNodeId?: string;
+  output?: Record<string, unknown>;
+  error?: Record<string, unknown>;
+}
+
+export const runCompiledGraph = async (
+  options: RunOptions,
+  startNodeId?: string,
+): Promise<RunResult> => {
+  const {
+    compiledGraph,
+    input,
+    toolRegistry,
+    toolContext,
+    onEvent,
+    llmDecision,
+  } = options;
+
+  const state: Record<string, unknown> = { ...input };
+  let currentNodeId = startNodeId ?? compiledGraph.startNodeId;
+  let iterations = 0;
+  const maxIterations = compiledGraph.maxIterations ?? 50;
+
+  const emit = (payload: AiProcessEventPayload) => {
+    if (onEvent) {
+      onEvent(payload);
+    }
+  };
+
+  while (currentNodeId) {
+    if (
+      compiledGraph.nodes.length > 0 &&
+      compiledGraph.endNodeIds.includes(currentNodeId)
+    ) {
+      emit({ type: 'node_started', nodeId: currentNodeId });
+      emit({ type: 'node_completed', nodeId: currentNodeId });
+      emit({ type: 'final', data: { output: state } });
+      return { status: 'completed', state, output: state };
+    }
+
+    const node = compiledGraph.nodes.find((item) => item.id === currentNodeId);
+    if (!node) {
+      return {
+        status: 'error',
+        state,
+        error: { message: `Node ${currentNodeId} not found.` },
+      };
+    }
+
+    emit({ type: 'node_started', nodeId: node.id });
+
+    if (node.type === 'LLMDecisionNode') {
+      const output = await llmDecision(node, state);
+      validateNodeOutput(node, output);
+      Object.assign(state, output);
+    }
+
+    if (node.type === 'ToolNode') {
+      const toolName = (node.data as { toolName: string }).toolName;
+      emit({ type: 'tool_called', nodeId: node.id, toolName });
+      const tool = toolRegistry.getTool(toolName);
+      const argsTemplate = (node.data as { argsTemplate: Record<string, unknown> })
+        .argsTemplate;
+      const resolvedArgs = resolveTemplate(argsTemplate, state);
+      
+      // Debug logging
+      console.log(`[ToolNode ${node.id}] Tool: ${toolName}`);
+      console.log(`[ToolNode ${node.id}] State keys:`, Object.keys(state));
+      console.log(`[ToolNode ${node.id}] ArgsTemplate:`, JSON.stringify(argsTemplate));
+      console.log(`[ToolNode ${node.id}] ResolvedArgs:`, JSON.stringify(resolvedArgs));
+      
+      const toolResult = await tool(toolContext, {
+        ...resolvedArgs,
+        state,
+      });
+      
+      console.log(`[ToolNode ${node.id}] ToolResult:`, JSON.stringify(toolResult));
+      
+      const outputMapping = (node.data as { outputMapping: Record<string, string> })
+        .outputMapping;
+      Object.entries(outputMapping).forEach(([key, path]) => {
+        console.log(`[ToolNode ${node.id}] Mapping: toolResult['${key}'] = ${toolResult[key]} -> state['${path}']`);
+        state[path] = toolResult[key];
+      });
+    }
+
+    if (node.type === 'HumanInputNode') {
+      const data = node.data as {
+        requiredFieldsSchema: Record<string, unknown>;
+        promptToUser: string;
+      };
+      emit({
+        type: 'need_input',
+        nodeId: node.id,
+        data: {
+          requiredFieldsSchema: data.requiredFieldsSchema,
+          promptToUser: data.promptToUser,
+        },
+      });
+      return { status: 'waiting', state, currentNodeId: node.id };
+    }
+
+    emit({ type: 'node_completed', nodeId: node.id });
+
+    const nextTargets = compiledGraph.edges.filter(
+      (edge) => edge.source === node.id,
+    );
+
+    if (nextTargets.length === 0) {
+      return {
+        status: 'error',
+        state,
+        error: { message: `No outgoing edges for node ${node.id}.` },
+      };
+    }
+
+    const selectedEdge = selectEdge(nextTargets, state);
+    if (!selectedEdge) {
+      return {
+        status: 'error',
+        state,
+        error: { message: `No edge conditions matched for node ${node.id}.` },
+      };
+    }
+
+    currentNodeId = selectedEdge.target;
+    iterations += 1;
+
+    if (!compiledGraph.allowCycles && iterations > compiledGraph.nodes.length) {
+      return {
+        status: 'error',
+        state,
+        error: { message: 'Cycle detected during execution.' },
+      };
+    }
+
+    if (compiledGraph.allowCycles && iterations > maxIterations) {
+      return {
+        status: 'error',
+        state,
+        error: { message: 'Max iterations exceeded.' },
+      };
+    }
+  }
+
+  return { status: 'completed', state, output: state };
+};
+
+const resolveTemplate = (
+  template: Record<string, unknown>,
+  state: Record<string, unknown>,
+) => {
+  return Object.entries(template).reduce<Record<string, unknown>>(
+    (acc, [key, value]) => {
+      if (typeof value === 'string' && value.startsWith('{{state.')) {
+        const path = value.replace('{{state.', '').replace('}}', '');
+        acc[key] = state[path];
+      } else {
+        acc[key] = value;
+      }
+      return acc;
+    },
+    {},
+  );
+};
+
+const selectEdge = (
+  edges: { condition?: Record<string, unknown>; target: string }[],
+  state: Record<string, unknown>,
+) => {
+  if (edges.length === 1) return edges[0];
+
+  return edges.find((edge) => {
+    if (!edge.condition) return true;
+    try {
+      return Boolean(applyJsonLogic(edge.condition, state));
+    } catch (error) {
+      return false;
+    }
+  });
+};
+
+const validateNodeOutput = (
+  node: ProcessGraphNode,
+  output: Record<string, unknown>,
+) => {
+  const schema = (node.data as { outputSchema?: Record<string, unknown> })
+    .outputSchema;
+  if (!schema) return;
+  const ajv = new Ajv({ allErrors: true, strict: false });
+  const validate = ajv.compile(schema);
+  if (!validate(output)) {
+    const errors = validate.errors?.map(e => `${e.instancePath} ${e.message}`).join(', ');
+    throw new Error(
+      `LLM output invalid for node ${node.id}. Errors: ${errors}. Output: ${JSON.stringify(output)}`
+    );
+  }
+};

backend/src/ai-processes/ai-processes.schemas.ts

@@ -0,0 +1,79 @@
+import Ajv, { JSONSchemaType } from 'ajv';
+import addFormats from 'ajv-formats';
+import {
+  AiNodeType,
+  ProcessGraphDefinition,
+  ProcessGraphEdge,
+  ProcessGraphNode,
+} from './ai-processes.types';
+
+const nodeTypes: AiNodeType[] = [
+  'Start',
+  'LLMDecisionNode',
+  'ToolNode',
+  'HumanInputNode',
+  'End',
+];
+
+export const graphSchema: any = {
+  type: 'object',
+  required: ['id', 'name', 'nodes', 'edges'],
+  additionalProperties: false,
+  properties: {
+    id: { type: 'string' },
+    name: { type: 'string' },
+    description: { type: 'string', nullable: true },
+    allowCycles: { type: 'boolean', nullable: true },
+    maxIterations: { type: 'number', nullable: true },
+    nodes: {
+      type: 'array',
+      items: { $ref: '#/definitions/processGraphNode' },
+      minItems: 1,
+    },
+    edges: {
+      type: 'array',
+      items: { $ref: '#/definitions/processGraphEdge' },
+      minItems: 0,
+    },
+  },
+  definitions: {
+    processGraphEdge: {
+      type: 'object',
+      required: ['id', 'source', 'target'],
+      additionalProperties: false,
+      properties: {
+        id: { type: 'string' },
+        source: { type: 'string' },
+        target: { type: 'string' },
+        condition: { type: 'object', nullable: true },
+      },
+    },
+    processGraphNode: {
+      type: 'object',
+      required: ['id', 'type', 'data'],
+      additionalProperties: false,
+      properties: {
+        id: { type: 'string' },
+        type: { type: 'string', enum: nodeTypes },
+        position: {
+          type: 'object',
+          nullable: true,
+          required: ['x', 'y'],
+          additionalProperties: false,
+          properties: {
+            x: { type: 'number' },
+            y: { type: 'number' },
+          },
+        },
+        data: { type: 'object' },
+      },
+    },
+  },
+};
+
+export const createAjv = () => {
+  const ajv = new Ajv({ allErrors: true, strict: false });
+  addFormats(ajv);
+  ajv.addSchema(graphSchema, 'processGraph');
+  return ajv;
+};

backend/src/ai-processes/ai-processes.service.ts

@@ -0,0 +1,319 @@
+import { Injectable } from '@nestjs/common';
+import { randomUUID } from 'crypto';
+import { Knex } from 'knex';
+import { TenantDatabaseService } from '../tenant/tenant-database.service';
+import {
+  AiAuditEvent,
+  AiProcess,
+  AiProcessRun,
+  AiProcessVersion,
+} from '../models/ai-process.model';
+import { compileProcessGraph } from './ai-processes.compiler';
+import { runCompiledGraph } from './ai-processes.runner';
+import {
+  AiProcessEventPayload,
+  CompiledGraph,
+  ProcessGraphDefinition,
+} from './ai-processes.types';
+import { ToolRegistry } from './tools/tool-registry';
+import { demoTools } from './tools/demo-tools';
+
+@Injectable()
+export class AiProcessesService {
+  constructor(private readonly tenantDbService: TenantDatabaseService) {}
+
+  private async getTenantContext(tenantId: string) {
+    const resolvedTenantId = await this.tenantDbService.resolveTenantId(tenantId);
+    const knex = await this.tenantDbService.getTenantKnexById(resolvedTenantId);
+    return { knex, tenantId: resolvedTenantId };
+  }
+
+  async listProcesses(tenantId: string) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+    return AiProcess.query(knex)
+      .withGraphFetched('versions')
+      .orderBy('created_at', 'desc');
+  }
+
+  async getProcess(tenantId: string, processId: string) {
+    const { knex } = await this.getTenantContext(tenantId);
+    return AiProcess.query(knex)
+      .findById(processId)
+      .withGraphFetched('versions');
+  }
+
+  async createProcess(
+    tenantId: string,
+    userId: string,
+    name: string,
+    description: string | undefined,
+    graph: ProcessGraphDefinition,
+  ) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+    const compiled = compileProcessGraph(graph, {
+      tenantId: resolvedTenantId,
+      version: 1,
+    });
+
+    return knex.transaction(async (trx) => {
+      const processId = randomUUID();
+
+      await AiProcess.query(trx).insert({
+        id: processId,
+        name,
+        description,
+        latestVersion: 1,
+        createdBy: userId,
+      });
+
+      await trx('ai_process_versions').insert({
+        id: randomUUID(),
+        process_id: processId,
+        version: 1,
+        graph_json: JSON.stringify(graph),
+        compiled_json: JSON.stringify(compiled),
+        created_by: userId,
+        created_at: new Date(),
+      });
+
+      return AiProcess.query(trx)
+        .findById(processId)
+        .withGraphFetched('versions');
+    });
+  }
+
+  async createProcessVersion(
+    tenantId: string,
+    userId: string,
+    processId: string,
+    graph: ProcessGraphDefinition,
+  ) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+
+    const process = await AiProcess.query(knex).findById(processId);
+    if (!process) {
+      throw new Error('Process not found.');
+    }
+
+    const nextVersion = process.latestVersion + 1;
+    const compiled = compileProcessGraph(graph, {
+      tenantId: resolvedTenantId,
+      version: nextVersion,
+    });
+
+    return knex.transaction(async (trx) => {
+      await AiProcess.query(trx)
+        .findById(processId)
+        .patch({ latestVersion: nextVersion });
+
+      const versionId = randomUUID();
+      await trx('ai_process_versions').insert({
+        id: versionId,
+        process_id: processId,
+        version: nextVersion,
+        graph_json: JSON.stringify(graph),
+        compiled_json: JSON.stringify(compiled),
+        created_by: userId,
+        created_at: new Date(),
+      });
+
+      return AiProcessVersion.query(trx).findById(versionId);
+    });
+  }
+
+  async listProcessVersions(tenantId: string, processId: string) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+    return AiProcessVersion.query(knex)
+      .where({ process_id: processId })
+      .orderBy('version', 'desc');
+  }
+
+  async createRun(
+    tenantId: string,
+    userId: string,
+    processId: string,
+    input: Record<string, unknown>,
+    sessionId: string | undefined,
+    emitEvent?: (payload: AiProcessEventPayload) => void,
+  ) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+    const process = await AiProcess.query(knex).findById(processId);
+    if (!process) {
+      throw new Error('Process not found.');
+    }
+
+    const versionRecord = await AiProcessVersion.query(knex).findOne({
+      process_id: processId,
+      version: process.latestVersion,
+    });
+
+    if (!versionRecord) {
+      throw new Error('Process version not found.');
+    }
+
+    const runId = randomUUID();
+    await AiProcessRun.query(knex).insert({
+      id: runId,
+      processId,
+      version: versionRecord.version,
+      status: 'running',
+      inputJson: input,
+      stateJson: input,
+      currentNodeId: null,
+    });
+
+    const run = await AiProcessRun.query(knex).findById(runId);
+    if (!run) {
+      throw new Error('Run not created.');
+    }
+
+    const compiled = versionRecord.compiledJson as unknown as CompiledGraph;
+    const toolRegistry = new ToolRegistry(demoTools);
+    await toolRegistry.loadTenantAllowlist(resolvedTenantId, knex);
+    
+    const emitAndAudit = (event: AiProcessEventPayload) => {
+      emitEvent?.(event);
+      void AiAuditEvent.query(knex).insert({
+        id: randomUUID(),
+        runId,
+        eventType: event.type,
+        payloadJson: event as any,
+      });
+    };
+    const result = await runCompiledGraph(
+      {
+        compiledGraph: compiled,
+        input,
+        toolRegistry,
+        toolContext: { tenantId: resolvedTenantId, userId, knex },
+        onEvent: (event) => emitAndAudit({ ...event, runId, sessionId }),
+        llmDecision: async (node, state) =>
+          this.mockDecision(node.id, state),
+      },
+      run.currentNodeId ?? undefined,
+    );
+
+    const updatedRun = await this.persistRunResult(runId, result, knex);
+
+    return { run: updatedRun, result };
+  }
+
+  async resumeRun(
+    tenantId: string,
+    userId: string,
+    runId: string,
+    input: Record<string, unknown>,
+    sessionId: string | undefined,
+    emitEvent?: (payload: AiProcessEventPayload) => void,
+  ) {
+    const { knex, tenantId: resolvedTenantId } =
+      await this.getTenantContext(tenantId);
+    const run = await AiProcessRun.query(knex).findById(runId);
+    if (!run) {
+      throw new Error('Run not found.');
+    }
+    const versionRecord = await AiProcessVersion.query(knex).findOne({
+      process_id: run.processId,
+      version: run.version,
+    });
+    if (!versionRecord) {
+      throw new Error('Process version not found.');
+    }
+
+    const compiled = versionRecord.compiledJson as unknown as CompiledGraph;
+    const toolRegistry = new ToolRegistry(demoTools);
+    await toolRegistry.loadTenantAllowlist(resolvedTenantId, knex);
+    
+    const mergedState = { ...(run.stateJson || {}), ...input };
+    const emitAndAudit = (event: AiProcessEventPayload) => {
+      emitEvent?.(event);
+      void AiAuditEvent.query(knex).insert({
+        id: randomUUID(),
+        runId: run.id,
+        eventType: event.type,
+        payloadJson: event as any,
+      });
+    };
+
+    const result = await runCompiledGraph(
+      {
+        compiledGraph: compiled,
+        input: mergedState,
+        toolRegistry,
+        toolContext: { tenantId: resolvedTenantId, userId, knex },
+        onEvent: (event) =>
+          emitAndAudit({ ...event, runId: run.id, sessionId }),
+        llmDecision: async (node, state) =>
+          this.mockDecision(node.id, state),
+      },
+      run.currentNodeId ?? undefined,
+    );
+
+    const updatedRun = await this.persistRunResult(run.id, result, knex);
+
+    return { run: updatedRun, result };
+  }
+
+  private async persistRunResult(runId: string, result: any, knex: Knex) {
+    const endedAt =
+      result.status === 'completed' || result.status === 'error'
+        ? new Date()
+        : null;
+
+    return AiProcessRun.query(knex).patchAndFetchById(runId, {
+      status: result.status,
+      outputJson: result.output,
+      errorJson: result.error,
+      stateJson: result.state,
+      currentNodeId: result.currentNodeId ?? null,
+      endedAt,
+    });
+  }
+
+  private async mockDecision(
+    nodeId: string,
+    state: Record<string, unknown>,
+  ) {
+    if (nodeId === 'extract_info') {
+      // Extract pet registration info from the message
+      const message = (state.message as string) || '';
+      
+      // Simple extraction (in production, this would use an LLM)
+      const petNameMatch = message.match(/(?:dog|cat|pet)\s+named\s+(\w+)/i);
+      const petTypeMatch = message.match(/(dog|cat)/i);
+      const ownerNameMatch = message.match(/owned\s+by\s+([\w\s]+?)(?:\s*\(|$)/i);
+      const emailMatch = message.match(/\(?([\w\.-]+@[\w\.-]+\.\w+)\)?/i);
+      
+      const ownerName = ownerNameMatch?.[1]?.trim() || 'Unknown Owner';
+      const nameParts = ownerName.split(/\s+/);
+      const firstName = nameParts[0] || 'Unknown';
+      const lastName = nameParts.slice(1).join(' ') || 'Owner';
+      
+      return {
+        petName: petNameMatch?.[1] || 'Unknown Pet',
+        species: petTypeMatch?.[1]?.toLowerCase() || 'dog',
+        ownerFirstName: firstName,
+        ownerLastName: lastName,
+        ownerEmail: emailMatch?.[1] || null,
+        accountName: `${firstName} ${lastName}`,
+      };
+    }
+    if (nodeId === 'decide_account') {
+      const accountName = (state.accountName as string) ?? 'New Account';
+      const accountAction = state.accountId ? 'find' : 'create';
+      return { accountAction, accountName };
+    }
+    if (nodeId === 'decide_contact') {
+      const firstName = (state.firstName as string) ?? 'Jane';
+      const lastName = (state.lastName as string) ?? 'Doe';
+      const contactAction = state.contactId ? 'find' : 'create';
+      return { contactAction, firstName, lastName };
+    }
+    return {};
+  }
+}

backend/src/ai-processes/ai-processes.stream.service.ts

@@ -0,0 +1,33 @@
+import { Injectable } from '@nestjs/common';
+import { MessageEvent } from '@nestjs/common';
+import { Observable, Subject } from 'rxjs';
+import { AiProcessEventPayload } from './ai-processes.types';
+
+@Injectable()
+export class AiProcessesStreamService {
+  private readonly streams = new Map<string, Subject<MessageEvent>>();
+
+  getStream(sessionId: string): Observable<MessageEvent> {
+    return this.getSubject(sessionId).asObservable();
+  }
+
+  emit(sessionId: string, payload: AiProcessEventPayload) {
+    const subject = this.getSubject(sessionId);
+    subject.next({ type: payload.type, data: payload });
+  }
+
+  close(sessionId: string) {
+    const subject = this.streams.get(sessionId);
+    if (subject) {
+      subject.complete();
+      this.streams.delete(sessionId);
+    }
+  }
+
+  private getSubject(sessionId: string) {
+    if (!this.streams.has(sessionId)) {
+      this.streams.set(sessionId, new Subject<MessageEvent>());
+    }
+    return this.streams.get(sessionId) as Subject<MessageEvent>;
+  }
+}

backend/src/ai-processes/ai-processes.types.ts

@@ -0,0 +1,125 @@
+import { JSONSchema7 } from 'json-schema';
+
+export type AiNodeType =
+  | 'Start'
+  | 'LLMDecisionNode'
+  | 'ToolNode'
+  | 'HumanInputNode'
+  | 'End';
+
+export interface ProcessGraphDefinition {
+  id: string;
+  name: string;
+  description?: string;
+  allowCycles?: boolean;
+  maxIterations?: number;
+  nodes: ProcessGraphNode[];
+  edges: ProcessGraphEdge[];
+}
+
+export interface ProcessGraphNode {
+  id: string;
+  type: AiNodeType;
+  position?: { x: number; y: number };
+  data:
+    | StartNodeData
+    | LLMDecisionNodeData
+    | ToolNodeData
+    | HumanInputNodeData
+    | EndNodeData;
+}
+
+export interface ProcessGraphEdge {
+  id: string;
+  source: string;
+  target: string;
+  condition?: JsonLogicExpression;
+}
+
+export type JsonLogicExpression = Record<string, unknown>;
+
+export interface StartNodeData {
+  label?: string;
+}
+
+export interface EndNodeData {
+  label?: string;
+}
+
+export interface LLMDecisionNodeData {
+  label?: string;
+  promptTemplate: string;
+  inputKeys: string[];
+  outputSchema: JSONSchema7;
+  model: {
+    name: string;
+    temperature: number;
+  };
+}
+
+export interface ToolNodeData {
+  label?: string;
+  toolName: string;
+  argsTemplate: Record<string, unknown>;
+  outputMapping: Record<string, string>;
+}
+
+export interface HumanInputNodeData {
+  label?: string;
+  requiredFieldsSchema: JSONSchema7;
+  promptToUser: string;
+}
+
+export interface CompiledGraph {
+  graphId: string;
+  version: number;
+  nodes: ProcessGraphNode[];
+  edges: ProcessGraphEdge[];
+  startNodeId: string;
+  endNodeIds: string[];
+  adjacency: Record<string, string[]>;
+  allowCycles?: boolean;
+  maxIterations?: number;
+}
+
+export type AiProcessStatus = 'running' | 'waiting' | 'completed' | 'error';
+
+export interface AiProcessRunContext {
+  state: Record<string, unknown>;
+  currentNodeId?: string;
+  iterationCount?: number;
+}
+
+export type AiProcessEventType =
+  | 'agent_started'
+  | 'processes_listed'
+  | 'process_selected'
+  | 'agent_message'
+  | 'node_started'
+  | 'tool_called'
+  | 'node_completed'
+  | 'need_input'
+  | 'final'
+  | 'error';
+
+export interface AiProcessEventPayload {
+  type: AiProcessEventType;
+  runId?: string;
+  sessionId?: string;
+  nodeId?: string;
+  toolName?: string;
+  processId?: string;
+  version?: number;
+  data?: Record<string, unknown>;
+}
+
+export interface NeedInputPayload {
+  runId: string;
+  requiredFieldsSchema: JSONSchema7;
+  promptToUser: string;
+}
+
+export interface ProcessSelection {
+  processId: string;
+  version: number;
+}

backend/src/ai-processes/deep-agent.orchestrator.ts

@@ -0,0 +1,202 @@
+import { ChatOpenAI } from '@langchain/openai';
+import { JsonOutputParser } from '@langchain/core/output_parsers';
+import { SystemMessage, HumanMessage } from '@langchain/core/messages';
+
+export interface ProcessInfo {
+  id: string;
+  name: string;
+  description?: string;
+}
+
+export interface ProcessSelectionResult {
+  action: 'select_process' | 'need_more_info' | 'no_match';
+  processId?: string;
+  question?: string;
+  reasoning?: string;
+}
+
+export interface InputExtractionResult {
+  hasAllInputs: boolean;
+  extractedInputs: Record<string, unknown>;
+  missingFields?: string[];
+  question?: string;
+}
+
+export class DeepAgentOrchestrator {
+  private model: ChatOpenAI;
+
+  constructor(
+    apiKey: string,
+    modelName: string = 'gpt-4o',
+    temperature: number = 0,
+  ) {
+    this.model = new ChatOpenAI({
+      apiKey,
+      modelName,
+      temperature,
+    });
+  }
+
+  /**
+   * Step 1: Select the best matching process from available processes
+   */
+  async selectProcess(
+    userMessage: string,
+    availableProcesses: ProcessInfo[],
+    conversationHistory?: { role: string; text: string }[],
+  ): Promise<ProcessSelectionResult> {
+    const processList = availableProcesses
+      .map((p) => `- ${p.name} (ID: ${p.id}): ${p.description || 'No description'}`)
+      .join('\n');
+
+    const historyContext =
+      conversationHistory && conversationHistory.length > 0
+        ? `\n\nConversation history:\n${conversationHistory
+            .map((msg) => `${msg.role}: ${msg.text}`)
+            .join('\n')}`
+        : '';
+
+    const systemPrompt = `You are an intelligent process orchestrator. Your task is to select the most appropriate business process based on the user's request.
+
+Available processes:
+${processList}
+
+Rules:
+1. Select exactly ONE process that best matches the user's intent
+2. If the request is ambiguous or matches multiple processes, ask for clarification
+3. If no process matches, indicate no match
+4. Always provide reasoning for your decision
+
+Respond with JSON:
+{
+  "action": "select_process" | "need_more_info" | "no_match",
+  "processId": "selected process ID or null",
+  "question": "clarifying question if needed",
+  "reasoning": "brief explanation of decision"
+}`;
+
+    const userPrompt = `User request: ${userMessage}${historyContext}`;
+
+    try {
+      const response = await this.model.invoke([
+        new SystemMessage(systemPrompt),
+        new HumanMessage(userPrompt),
+      ]);
+
+      const parser = new JsonOutputParser<ProcessSelectionResult>();
+      const content = response.content as string;
+      const jsonMatch = content.match(/\{[\s\S]*\}/);
+      
+      if (jsonMatch) {
+        return await parser.parse(jsonMatch[0]);
+      }
+
+      return {
+        action: 'no_match',
+        reasoning: 'Failed to parse LLM response',
+      };
+    } catch (error: any) {
+      console.error('Process selection error:', error);
+      return {
+        action: 'no_match',
+        reasoning: `Error: ${error.message}`,
+      };
+    }
+  }
+
+  /**
+   * Step 2: Extract required inputs from user message
+   */
+  async extractInputs(
+    userMessage: string,
+    requiredFields: { name: string; description: string; required: boolean }[],
+    conversationHistory?: { role: string; text: string }[],
+    context?: Record<string, unknown>,
+  ): Promise<InputExtractionResult> {
+    const fieldsList = requiredFields
+      .map((f) => `- ${f.name} (${f.required ? 'required' : 'optional'}): ${f.description}`)
+      .join('\n');
+
+    const historyContext =
+      conversationHistory && conversationHistory.length > 0
+        ? `\n\nConversation history:\n${conversationHistory
+            .map((msg) => `${msg.role}: ${msg.text}`)
+            .join('\n')}`
+        : '';
+
+    const contextInfo = context ? `\n\nAvailable context: ${JSON.stringify(context)}` : '';
+
+    const systemPrompt = `You are an input extraction assistant. Extract structured data from the user's message and conversation history.
+
+Required fields for this process:
+${fieldsList}${contextInfo}
+
+Rules:
+1. Extract as many fields as possible from the message and context
+2. Only mark hasAllInputs=true if ALL required fields are present
+3. If required fields are missing, generate a natural question to ask the user
+4. Use context data when available (e.g., current page context)
+
+Respond with JSON:
+{
+  "hasAllInputs": true | false,
+  "extractedInputs": { "field1": "value1", ... },
+  "missingFields": ["field1", "field2"] or undefined,
+  "question": "natural language question" or undefined
+}`;
+
+    const userPrompt = `User message: ${userMessage}${historyContext}`;
+
+    try {
+      const response = await this.model.invoke([
+        new SystemMessage(systemPrompt),
+        new HumanMessage(userPrompt),
+      ]);
+
+      const parser = new JsonOutputParser<InputExtractionResult>();
+      const content = response.content as string;
+      const jsonMatch = content.match(/\{[\s\S]*\}/);
+      
+      if (jsonMatch) {
+        return await parser.parse(jsonMatch[0]);
+      }
+
+      return {
+        hasAllInputs: false,
+        extractedInputs: {},
+        missingFields: requiredFields.filter((f) => f.required).map((f) => f.name),
+        question: 'I need more information to proceed. Could you provide additional details?',
+      };
+    } catch (error: any) {
+      console.error('Input extraction error:', error);
+      return {
+        hasAllInputs: false,
+        extractedInputs: {},
+        question: 'I encountered an error processing your request. Please try again.',
+      };
+    }
+  }
+
+  /**
+   * Step 3: Generate a friendly response explaining what will happen
+   */
+  async generateStartMessage(
+    processName: string,
+    extractedInputs: Record<string, unknown>,
+  ): Promise<string> {
+    const systemPrompt = `You are a friendly assistant explaining what process will be executed. Be concise and clear.`;
+
+    const userPrompt = `Generate a brief message (1-2 sentences) confirming that you will execute the "${processName}" process with these inputs: ${JSON.stringify(extractedInputs)}`;
+
+    try {
+      const response = await this.model.invoke([
+        new SystemMessage(systemPrompt),
+        new HumanMessage(userPrompt),
+      ]);
+
+      return (response.content as string).trim();
+    } catch (error) {
+      return `I'll execute the ${processName} process with your provided information.`;
+    }
+  }
+}

backend/src/ai-processes/demo-process.ts

@@ -0,0 +1,173 @@
+import { ProcessGraphDefinition } from './ai-processes.types';
+
+export const demoRegisterNewPetProcess: ProcessGraphDefinition = {
+  id: 'register_new_pet',
+  name: 'Register New Pet',
+  description: 'Resolve account/contact then create pet.',
+  allowCycles: false,
+  nodes: [
+    {
+      id: 'start',
+      type: 'Start',
+      data: { label: 'Start' },
+    },
+    {
+      id: 'decide_account',
+      type: 'LLMDecisionNode',
+      data: {
+        label: 'Decide Account Action',
+        promptTemplate:
+          'Decide whether to find or create an account. Return JSON {"accountAction":"find|create","accountName":"string"}.',
+        inputKeys: ['accountName'],
+        outputSchema: {
+          type: 'object',
+          required: ['accountAction', 'accountName'],
+          properties: {
+            accountAction: { type: 'string', enum: ['find', 'create'] },
+            accountName: { type: 'string' },
+          },
+          additionalProperties: false,
+        },
+        model: { name: 'gpt-4o-mini', temperature: 0 },
+      },
+    },
+    {
+      id: 'find_account',
+      type: 'ToolNode',
+      data: {
+        label: 'Find Account',
+        toolName: 'findAccount',
+        argsTemplate: { accountName: '{{state.accountName}}' },
+        outputMapping: { accountId: 'accountId', found: 'accountFound' },
+      },
+    },
+    {
+      id: 'create_account',
+      type: 'ToolNode',
+      data: {
+        label: 'Create Account',
+        toolName: 'createAccount',
+        argsTemplate: { accountName: '{{state.accountName}}' },
+        outputMapping: { accountId: 'accountId' },
+      },
+    },
+    {
+      id: 'decide_contact',
+      type: 'LLMDecisionNode',
+      data: {
+        label: 'Decide Contact Action',
+        promptTemplate:
+          'Decide whether to find or create a contact. Return JSON {"contactAction":"find|create","firstName":"string","lastName":"string"}.',
+        inputKeys: ['firstName', 'lastName'],
+        outputSchema: {
+          type: 'object',
+          required: ['contactAction', 'firstName', 'lastName'],
+          properties: {
+            contactAction: { type: 'string', enum: ['find', 'create'] },
+            firstName: { type: 'string' },
+            lastName: { type: 'string' },
+          },
+          additionalProperties: false,
+        },
+        model: { name: 'gpt-4o-mini', temperature: 0 },
+      },
+    },
+    {
+      id: 'find_contact',
+      type: 'ToolNode',
+      data: {
+        label: 'Find Contact',
+        toolName: 'findContact',
+        argsTemplate: {
+          accountId: '{{state.accountId}}',
+          firstName: '{{state.firstName}}',
+          lastName: '{{state.lastName}}',
+        },
+        outputMapping: { contactId: 'contactId', found: 'contactFound' },
+      },
+    },
+    {
+      id: 'create_contact',
+      type: 'ToolNode',
+      data: {
+        label: 'Create Contact',
+        toolName: 'createContact',
+        argsTemplate: {
+          accountId: '{{state.accountId}}',
+          firstName: '{{state.firstName}}',
+          lastName: '{{state.lastName}}',
+        },
+        outputMapping: { contactId: 'contactId' },
+      },
+    },
+    {
+      id: 'need_pet',
+      type: 'HumanInputNode',
+      data: {
+        label: 'Collect Pet Info',
+        promptToUser: 'What is the pet name and type?',
+        requiredFieldsSchema: {
+          type: 'object',
+          required: ['petName', 'petType'],
+          properties: {
+            petName: { type: 'string' },
+            petType: { type: 'string' },
+          },
+          additionalProperties: false,
+        },
+      },
+    },
+    {
+      id: 'create_pet',
+      type: 'ToolNode',
+      data: {
+        label: 'Create Pet',
+        toolName: 'createPet',
+        argsTemplate: {
+          contactId: '{{state.contactId}}',
+          petName: '{{state.petName}}',
+          petType: '{{state.petType}}',
+        },
+        outputMapping: { petId: 'petId' },
+      },
+    },
+    {
+      id: 'end',
+      type: 'End',
+      data: { label: 'End' },
+    },
+  ],
+  edges: [
+    { id: 'e_start_account', source: 'start', target: 'decide_account' },
+    {
+      id: 'e_account_find',
+      source: 'decide_account',
+      target: 'find_account',
+      condition: { '==': [{ var: 'accountAction' }, 'find'] },
+    },
+    {
+      id: 'e_account_create',
+      source: 'decide_account',
+      target: 'create_account',
+      condition: { '==': [{ var: 'accountAction' }, 'create'] },
+    },
+    { id: 'e_account_to_contact', source: 'find_account', target: 'decide_contact' },
+    { id: 'e_create_account_to_contact', source: 'create_account', target: 'decide_contact' },
+    {
+      id: 'e_contact_find',
+      source: 'decide_contact',
+      target: 'find_contact',
+      condition: { '==': [{ var: 'contactAction' }, 'find'] },
+    },
+    {
+      id: 'e_contact_create',
+      source: 'decide_contact',
+      target: 'create_contact',
+      condition: { '==': [{ var: 'contactAction' }, 'create'] },
+    },
+    { id: 'e_contact_to_pet', source: 'find_contact', target: 'need_pet' },
+    { id: 'e_create_contact_to_pet', source: 'create_contact', target: 'need_pet' },
+    { id: 'e_need_pet_to_create', source: 'need_pet', target: 'create_pet' },
+    { id: 'e_pet_to_end', source: 'create_pet', target: 'end' },
+  ],
+};

backend/src/ai-processes/dto/ai-chat.dto.ts

@@ -0,0 +1,28 @@
+import { IsArray, IsObject, IsOptional, IsString } from 'class-validator';
+
+export class CreateChatSessionDto {
+  @IsOptional()
+  @IsString()
+  context?: string;
+}
+
+export class SendChatMessageDto {
+  @IsString()
+  message!: string;
+
+  @IsOptional()
+  @IsArray()
+  history?: { role: string; text: string }[];
+
+  @IsOptional()
+  @IsObject()
+  context?: Record<string, unknown>;
+
+  @IsOptional()
+  @IsString()
+  sessionId?: string;
+
+  @IsOptional()
+  @IsString()
+  processId?: string;
+}

backend/src/ai-processes/dto/ai-process.dto.ts

@@ -0,0 +1,24 @@
+import { IsArray, IsObject, IsOptional, IsString } from 'class-validator';
+import { ProcessGraphDefinition } from '../ai-processes.types';
+
+export class CreateAiProcessDto {
+  @IsString()
+  name!: string;
+
+  @IsOptional()
+  @IsString()
+  description?: string;
+
+  @IsObject()
+  graph!: ProcessGraphDefinition;
+}
+
+export class UpdateAiProcessDto {
+  @IsObject()
+  graph!: ProcessGraphDefinition;
+}
+
+export class AiProcessListResponseDto {
+  @IsArray()
+  items!: Record<string, unknown>[];
+}

backend/src/ai-processes/dto/ai-run.dto.ts

@@ -0,0 +1,19 @@
+import { IsObject, IsOptional, IsString } from 'class-validator';
+
+export class CreateAiRunDto {
+  @IsObject()
+  input!: Record<string, unknown>;
+
+  @IsOptional()
+  @IsString()
+  sessionId?: string;
+}
+
+export class ResumeAiRunDto {
+  @IsObject()
+  input!: Record<string, unknown>;
+
+  @IsOptional()
+  @IsString()
+  sessionId?: string;
+}

backend/src/ai-processes/tools/demo-tools.ts

@@ -0,0 +1,226 @@
+import { ToolContext, ToolHandler } from './tool-registry';
+import { Account } from '../../models/account.model';
+import { Contact } from '../../models/contact.model';
+import { randomUUID } from 'crypto';
+
+/**
+ * Demo tools that wrap ObjectService operations
+ * These tools provide structured access to CRM entities
+ */
+
+export const findAccount: ToolHandler = async (ctx, args) => {
+  if (!ctx.knex) {
+    throw new Error('Knex connection required for findAccount');
+  }
+
+  const { name } = args as { name?: string };
+  
+  if (!name) {
+    return { found: false, accountId: null, message: 'Name required' };
+  }
+
+  try {
+    const query = Account.query(ctx.knex).where('name', 'like', `%${name}%`);
+
+    const account = await query.first();
+    
+    if (account) {
+      return {
+        found: true,
+        accountId: account.id,
+        account: {
+          id: account.id,
+          name: account.name,
+        },
+      };
+    }
+
+    return { found: false, accountId: null };
+  } catch (error: any) {
+    return { found: false, error: error.message };
+  }
+};
+
+export const createAccount: ToolHandler = async (ctx, args) => {
+  if (!ctx.knex) {
+    throw new Error('Knex connection required for createAccount');
+  }
+
+  const { name, email, phone, industry } = args as {
+    name: string;
+    email?: string;
+    phone?: string;
+    industry?: string;
+  };
+
+  if (!name) {
+    throw new Error('Account name is required');
+  }
+
+  try {
+    const accountId = randomUUID();
+    await ctx.knex('accounts').insert({
+      id: accountId,
+      name,
+      phone,
+      industry,
+      ownerId: ctx.userId,
+    });
+
+    return {
+      success: true,
+      accountId,
+      account: {
+        id: accountId,
+        name,
+      },
+    };
+  } catch (error: any) {
+    return { success: false, error: error.message };
+  }
+};
+
+export const findContact: ToolHandler = async (ctx, args) => {
+  if (!ctx.knex) {
+    throw new Error('Knex connection required for findContact');
+  }
+
+  const { firstName, lastName, accountId } = args as {
+    firstName?: string;
+    lastName?: string;
+    accountId?: string;
+  };
+
+  if (!firstName && !lastName) {
+    return {
+      found: false,
+      contactId: null,
+      message: 'First name or last name required',
+    };
+  }
+
+  try {
+    let query = Contact.query(ctx.knex);
+
+    if (firstName) {
+      query = query.where('firstName', 'like', `%${firstName}%`);
+    }
+    if (lastName) {
+      query = query.where('lastName', 'like', `%${lastName}%`);
+    }
+    if (accountId) {
+      query = query.where('accountId', accountId);
+    }
+
+    const contact = await query.first();
+
+    if (contact) {
+      return {
+        found: true,
+        contactId: contact.id,
+        contact: {
+          id: contact.id,
+          firstName: contact.firstName,
+          lastName: contact.lastName,
+          accountId: contact.accountId,
+        },
+      };
+    }
+
+    return { found: false, contactId: null };
+  } catch (error: any) {
+    return { found: false, error: error.message };
+  }
+};
+
+export const createContact: ToolHandler = async (ctx, args) => {
+  if (!ctx.knex) {
+    throw new Error('Knex connection required for createContact');
+  }
+
+  const { firstName, lastName, email, phone, accountId } = args as {
+    firstName: string;
+    lastName: string;
+    email?: string;
+    phone?: string;
+    accountId?: string;
+  };
+
+  if (!firstName || !lastName) {
+    throw new Error('First name and last name are required');
+  }
+
+  try {
+    const contactId = randomUUID();
+    await ctx.knex('contacts').insert({
+      id: contactId,
+      firstName,
+      lastName,
+      accountId,
+      ownerId: ctx.userId,
+    });
+
+    return {
+      success: true,
+      contactId,
+      contact: {
+        id: contactId,
+        firstName,
+        lastName,
+        accountId,
+      },
+    };
+  } catch (error: any) {
+    return { success: false, error: error.message };
+  }
+};
+
+export const createPet: ToolHandler = async (ctx, args) => {
+  if (!ctx.knex) {
+    throw new Error('Knex connection required for createPet');
+  }
+
+  const { name, species, breed, age, ownerId } = args as {
+    name: string;
+    species: string;
+    breed?: string;
+    age?: number;
+    ownerId: string; // Contact ID
+  };
+
+  if (!name || !ownerId) {
+    throw new Error('Pet name and owner (contact) are required');
+  }
+
+  try {
+    const petId = randomUUID();
+    
+    // Get the accountId from the contact
+    const contact = await ctx.knex('contacts').where('id', ownerId).first();
+    
+    // Insert into dogs table
+    await ctx.knex('dogs').insert({
+      id: petId,
+      name,
+      ownerId,
+      accountId: contact?.accountId,
+    });
+
+    return {
+      success: true,
+      petId,
+      pet: { id: petId, name, ownerId, accountId: contact?.accountId },
+    };
+  } catch (error: any) {
+    return { success: false, error: error.message };
+  }
+};
+
+// Export all demo tools
+export const demoTools = {
+  findAccount,
+  createAccount,
+  findContact,
+  createContact,
+  createPet,
+};

backend/src/ai-processes/tools/tool-registry.ts

@@ -0,0 +1,89 @@
+import { Knex } from 'knex';
+import { AiToolConfig } from '../../models/ai-process.model';
+
+export interface ToolContext {
+  tenantId: string;
+  userId: string;
+  knex?: Knex;
+  authScopes?: string[];
+}
+
+export type ToolHandler = (
+  ctx: ToolContext,
+  args: Record<string, unknown>,
+) => Promise<Record<string, unknown>>;
+
+export interface ToolDefinition {
+  name: string;
+  description: string;
+  handler: ToolHandler;
+  inputSchema?: Record<string, unknown>;
+}
+
+const defaultTools: Record<string, ToolHandler> = {
+  findAccount: async () => ({ accountId: null, found: false }),
+  createAccount: async (_ctx, args) => ({ accountId: `acc_${Date.now()}`, args }),
+  findContact: async () => ({ contactId: null, found: false }),
+  createContact: async (_ctx, args) => ({ contactId: `con_${Date.now()}`, args }),
+  createPet: async (_ctx, args) => ({ petId: `pet_${Date.now()}`, args }),
+};
+
+const tenantAllowlist: Record<string, string[]> = {
+  default: Object.keys(defaultTools),
+};
+
+export class ToolRegistry {
+  private tools: Record<string, ToolHandler>;
+  private allowlist: Record<string, string[]>;
+  private dbAllowlistCache: Map<string, Set<string>> = new Map();
+
+  constructor(
+    tools: Record<string, ToolHandler> = defaultTools,
+    allowlist: Record<string, string[]> = tenantAllowlist,
+  ) {
+    this.tools = tools;
+    this.allowlist = allowlist;
+  }
+
+  registerTool(name: string, handler: ToolHandler) {
+    this.tools[name] = handler;
+  }
+
+  async loadTenantAllowlist(tenantId: string, knex: Knex) {
+    const configs = await AiToolConfig.query(knex)
+      .where('enabled', true);
+    
+    const allowed = new Set(configs.map((c) => c.toolName));
+    this.dbAllowlistCache.set(tenantId, allowed);
+    return allowed;
+  }
+
+  async isToolAllowed(tenantId: string, toolName: string, knex?: Knex) {
+    // Check database cache first
+    if (this.dbAllowlistCache.has(tenantId)) {
+      return this.dbAllowlistCache.get(tenantId)!.has(toolName);
+    }
+
+    // Load from database if knex provided
+    if (knex) {
+      const allowed = await this.loadTenantAllowlist(tenantId, knex);
+      return allowed.has(toolName);
+    }
+
+    // Fallback to static allowlist
+    const allowed = this.allowlist[tenantId] || this.allowlist.default || [];
+    return allowed.includes(toolName);
+  }
+
+  getTool(toolName: string): ToolHandler {
+    const tool = this.tools[toolName];
+    if (!tool) {
+      throw new Error(`Tool ${toolName} is not registered.`);
+    }
+    return tool;
+  }
+
+  getAllToolNames(): string[] {
+    return Object.keys(this.tools);
+  }
+}

backend/src/app.module.ts

@@ -7,6 +7,9 @@ import { RbacModule } from './rbac/rbac.module';
 import { ObjectModule } from './object/object.module';
 import { AppBuilderModule } from './app-builder/app-builder.module';
 import { PageLayoutModule } from './page-layout/page-layout.module';
+import { VoiceModule } from './voice/voice.module';
+import { AiAssistantModule } from './ai-assistant/ai-assistant.module';
+import { AiProcessesModule } from './ai-processes/ai-processes.module';
 
 @Module({
   imports: [
@@ -20,6 +23,9 @@ import { PageLayoutModule } from './page-layout/page-layout.module';
     ObjectModule,
     AppBuilderModule,
     PageLayoutModule,
+    VoiceModule,
+    AiAssistantModule,
+    AiProcessesModule,
   ],
 })
 export class AppModule {}

backend/src/main.ts

@@ -3,13 +3,15 @@ import {
   FastifyAdapter,
   NestFastifyApplication,
 } from '@nestjs/platform-fastify';
-import { ValidationPipe } from '@nestjs/common';
+import { ValidationPipe, Logger } from '@nestjs/common';
 import { AppModule } from './app.module';
+import { VoiceService } from './voice/voice.service';
+import { AudioConverterService } from './voice/audio-converter.service';
 
 async function bootstrap() {
   const app = await NestFactory.create<NestFastifyApplication>(
     AppModule,
-    new FastifyAdapter(),
+    new FastifyAdapter({ logger: true }),
   );
 
   // Global validation pipe
@@ -33,6 +35,145 @@ async function bootstrap() {
   const port = process.env.PORT || 3000;
   await app.listen(port, '0.0.0.0');
 
+  // After app is listening, register WebSocket handler
+  const fastifyInstance = app.getHttpAdapter().getInstance();
+  const logger = new Logger('MediaStreamWS');
+  const voiceService = app.get(VoiceService);
+  const audioConverter = app.get(AudioConverterService);
+  
+  const WebSocketServer = require('ws').Server;
+  const wss = new WebSocketServer({ noServer: true });
+
+  // Handle WebSocket upgrades at the server level
+  const server = (fastifyInstance.server as any);
+  
+  // Track active Media Streams connections: streamSid -> WebSocket
+  const mediaStreams: Map<string, any> = new Map();
+  
+  server.on('upgrade', (request: any, socket: any, head: any) => {
+    if (request.url === '/api/voice/media-stream') {
+      logger.log('=== MEDIA STREAM WEBSOCKET UPGRADE REQUEST ===');
+      logger.log(`Path: ${request.url}`);
+      
+      wss.handleUpgrade(request, socket, head, (ws: any) => {
+        logger.log('=== MEDIA STREAM WEBSOCKET UPGRADED SUCCESSFULLY ===');
+        handleMediaStreamSocket(ws);
+      });
+    }
+  });
+  
+  async function handleMediaStreamSocket(ws: any) {
+    let streamSid: string | null = null;
+    let callSid: string | null = null;
+    let tenantDomain: string | null = null;
+    let mediaPacketCount = 0;
+
+    ws.on('message', async (message: Buffer) => {
+      try {
+        const msg = JSON.parse(message.toString());
+
+        switch (msg.event) {
+          case 'connected':
+            logger.log('=== MEDIA STREAM EVENT: CONNECTED ===');
+            logger.log(`Protocol: ${msg.protocol}`);
+            logger.log(`Version: ${msg.version}`);
+            break;
+
+          case 'start':
+            streamSid = msg.streamSid;
+            callSid = msg.start.callSid;
+            tenantDomain = msg.start.customParameters?.tenantId || 'tenant1';
+
+            logger.log(`=== MEDIA STREAM EVENT: START ===`);
+            logger.log(`StreamSid: ${streamSid}`);
+            logger.log(`CallSid: ${callSid}`);
+            logger.log(`Tenant: ${tenantDomain}`);
+            logger.log(`MediaFormat: ${JSON.stringify(msg.start.mediaFormat)}`);
+
+            mediaStreams.set(streamSid, ws);
+            logger.log(`Stored WebSocket for streamSid: ${streamSid}. Total active streams: ${mediaStreams.size}`);
+
+            // Initialize OpenAI Realtime connection
+            logger.log(`Initializing OpenAI Realtime for call ${callSid}...`);
+            try {
+              await voiceService.initializeOpenAIRealtime({
+                callSid,
+                tenantId: tenantDomain,
+                userId: msg.start.customParameters?.userId || 'system',
+              });
+              logger.log(`✓ OpenAI Realtime initialized for call ${callSid}`);
+            } catch (error: any) {
+              logger.error(`Failed to initialize OpenAI: ${error.message}`);
+            }
+            break;
+
+          case 'media':
+            mediaPacketCount++;
+            // Only log every 500 packets to reduce noise
+            if (mediaPacketCount % 500 === 0) {
+              logger.log(`Received media packet #${mediaPacketCount} for StreamSid: ${streamSid}`);
+            }
+
+            if (!callSid || !tenantDomain) {
+              logger.warn('Received media before start event');
+              break;
+            }
+
+            try {
+              // Convert Twilio audio (μ-law 8kHz) to OpenAI format (PCM16 24kHz)
+              const twilioAudio = msg.media.payload;
+              const openaiAudio = audioConverter.twilioToOpenAI(twilioAudio);
+
+              // Send audio to OpenAI Realtime API
+              await voiceService.sendAudioToOpenAI(callSid, openaiAudio);
+            } catch (error: any) {
+              logger.error(`Error processing media: ${error.message}`);
+            }
+            break;
+
+          case 'stop':
+            logger.log(`=== MEDIA STREAM EVENT: STOP ===`);
+            logger.log(`StreamSid: ${streamSid}`);
+            logger.log(`Total media packets received: ${mediaPacketCount}`);
+
+            if (streamSid) {
+              mediaStreams.delete(streamSid);
+              logger.log(`Removed WebSocket for streamSid: ${streamSid}`);
+            }
+
+            // Clean up OpenAI connection
+            if (callSid) {
+              try {
+                logger.log(`Cleaning up OpenAI connection for call ${callSid}...`);
+                await voiceService.cleanupOpenAIConnection(callSid);
+                logger.log(`✓ OpenAI connection cleaned up`);
+              } catch (error: any) {
+                logger.error(`Failed to cleanup OpenAI: ${error.message}`);
+              }
+            }
+            break;
+
+          default:
+            logger.debug(`Unknown media stream event: ${msg.event}`);
+        }
+      } catch (error: any) {
+        logger.error(`Error processing media stream message: ${error.message}`);
+      }
+    });
+
+    ws.on('close', () => {
+      logger.log(`=== MEDIA STREAM WEBSOCKET CLOSED ===`);
+      if (streamSid) {
+        mediaStreams.delete(streamSid);
+      }
+    });
+
+    ws.on('error', (error: Error) => {
+      logger.error(`=== MEDIA STREAM WEBSOCKET ERROR ===`);
+      logger.error(`Error message: ${error.message}`);
+    });
+  }
+
   console.log(`🚀 Application is running on: http://localhost:${port}/api`);
 }
 

backend/src/models/ai-chat.model.ts

@@ -0,0 +1,63 @@
+import { randomUUID } from 'crypto';
+import { snakeCaseMappers } from 'objection';
+import { BaseModel } from './base.model';
+
+export class AiChatSession extends BaseModel {
+  static tableName = 'ai_chat_sessions';
+  static columnNameMappers = snakeCaseMappers();
+
+  id!: string;
+  userId!: string;
+  createdAt!: Date;
+
+  $beforeInsert() {
+    this.id = this.id || randomUUID();
+    this.createdAt = this.createdAt || new Date();
+  }
+
+  $beforeUpdate() {}
+
+  static get relationMappings() {
+    return {
+      messages: {
+        relation: BaseModel.HasManyRelation,
+        modelClass: AiChatMessage,
+        join: {
+          from: 'ai_chat_sessions.id',
+          to: 'ai_chat_messages.session_id',
+        },
+      },
+    };
+  }
+}
+
+export class AiChatMessage extends BaseModel {
+  static tableName = 'ai_chat_messages';
+  static columnNameMappers = snakeCaseMappers();
+
+  id!: string;
+  sessionId!: string;
+  role!: string;
+  content!: string;
+  createdAt!: Date;
+
+  $beforeInsert() {
+    this.id = this.id || randomUUID();
+    this.createdAt = this.createdAt || new Date();
+  }
+
+  $beforeUpdate() {}
+
+  static get relationMappings() {
+    return {
+      session: {
+        relation: BaseModel.BelongsToOneRelation,
+        modelClass: AiChatSession,
+        join: {
+          from: 'ai_chat_messages.session_id',
+          to: 'ai_chat_sessions.id',
+        },
+      },
+    };
+  }
+}

backend/src/models/ai-process.model.ts

@@ -0,0 +1,164 @@
+import { randomUUID } from 'crypto';
+import { QueryContext, snakeCaseMappers } from 'objection';
+import { BaseModel } from './base.model';
+
+export class AiProcess extends BaseModel {
+  static tableName = 'ai_processes';
+  static columnNameMappers = snakeCaseMappers();
+
+  id!: string;
+  name!: string;
+  description?: string;
+  latestVersion!: number;
+  createdBy!: string;
+  createdAt!: Date;
+  updatedAt!: Date;
+
+  $beforeInsert(queryContext: QueryContext) {
+    this.id = this.id || randomUUID();
+    super.$beforeInsert(queryContext);
+  }
+
+  static get relationMappings() {
+    return {
+      versions: {
+        relation: BaseModel.HasManyRelation,
+        modelClass: AiProcessVersion,
+        join: {
+          from: 'ai_processes.id',
+          to: 'ai_process_versions.process_id',
+        },
+      },
+      runs: {
+        relation: BaseModel.HasManyRelation,
+        modelClass: AiProcessRun,
+        join: {
+          from: 'ai_processes.id',
+          to: 'ai_process_runs.process_id',
+        },
+      },
+    };
+  }
+}
+
+export class AiProcessVersion extends BaseModel {
+  static tableName = 'ai_process_versions';
+  static columnNameMappers = snakeCaseMappers();
+  static jsonAttributes = ['graphJson', 'compiledJson'];
+
+  id!: string;
+  processId!: string;
+  version!: number;
+  graphJson!: Record<string, unknown>;
+  compiledJson!: Record<string, unknown>;
+  createdBy!: string;
+  createdAt!: Date;
+
+  $beforeInsert() {
+    this.id = this.id || randomUUID();
+    this.createdAt = this.createdAt || new Date();
+  }
+
+  $beforeUpdate() {}
+
+  static get relationMappings() {
+    return {
+      process: {
+        relation: BaseModel.BelongsToOneRelation,
+        modelClass: AiProcess,
+        join: {
+          from: 'ai_process_versions.process_id',
+          to: 'ai_processes.id',
+        },
+      },
+    };
+  }
+}
+
+export class AiProcessRun extends BaseModel {
+  static tableName = 'ai_process_runs';
+  static columnNameMappers = snakeCaseMappers();
+  static jsonAttributes = ['inputJson', 'outputJson', 'errorJson', 'stateJson'];
+
+  id!: string;
+  processId!: string;
+  version!: number;
+  status!: string;
+  inputJson!: Record<string, unknown>;
+  outputJson?: Record<string, unknown> | null;
+  errorJson?: Record<string, unknown> | null;
+  stateJson?: Record<string, unknown>;
+  currentNodeId?: string | null;
+  startedAt?: Date;
+  endedAt?: Date | null;
+
+  $beforeInsert() {
+    this.id = this.id || randomUUID();
+    this.startedAt = this.startedAt || new Date();
+  }
+
+  $beforeUpdate() {}
+
+  static get relationMappings() {
+    return {
+      process: {
+        relation: BaseModel.BelongsToOneRelation,
+        modelClass: AiProcess,
+        join: {
+          from: 'ai_process_runs.process_id',
+          to: 'ai_processes.id',
+        },
+      },
+    };
+  }
+}
+
+export class AiAuditEvent extends BaseModel {
+  static tableName = 'ai_audit_events';
+  static columnNameMappers = snakeCaseMappers();
+  static jsonAttributes = ['payloadJson'];
+
+  id!: string;
+  runId!: string;
+  eventType!: string;
+  payloadJson!: Record<string, unknown>;
+  createdAt!: Date;
+
+  $beforeInsert() {
+    this.id = this.id || randomUUID();
+    this.createdAt = this.createdAt || new Date();
+  }
+
+  $beforeUpdate() {}
+
+  static get relationMappings() {
+    return {
+      run: {
+        relation: BaseModel.BelongsToOneRelation,
+        modelClass: AiProcessRun,
+        join: {
+          from: 'ai_audit_events.run_id',
+          to: 'ai_process_runs.id',
+        },
+      },
+    };
+  }
+}
+
+export class AiToolConfig extends BaseModel {
+  static tableName = 'ai_tool_configs';
+  static columnNameMappers = snakeCaseMappers();
+  static jsonAttributes = ['configJson'];
+
+  id!: string;
+  toolName!: string;
+  enabled!: boolean;
+  configJson?: Record<string, unknown>;
+  createdAt!: Date;
+  updatedAt!: Date;
+
+  $beforeInsert(queryContext: QueryContext) {
+    this.id = this.id || randomUUID();
+    super.$beforeInsert(queryContext);
+  }
+}

backend/src/models/base.model.ts

@@ -1,7 +1,38 @@
-import { Model, ModelOptions, QueryContext, snakeCaseMappers } from 'objection';
+import { Model, ModelOptions, QueryContext } from 'objection';
 
 export class BaseModel extends Model {
-  static columnNameMappers = snakeCaseMappers();
+  /**
+   * Use a minimal column mapper: keep property names as-is, but handle
+   * timestamp fields that are stored as created_at/updated_at in the DB.
+   */
+  static columnNameMappers = {
+    parse(dbRow: Record<string, any>) {
+      const mapped: Record<string, any> = {};
+      for (const [key, value] of Object.entries(dbRow || {})) {
+        if (key === 'created_at') {
+          mapped.createdAt = value;
+        } else if (key === 'updated_at') {
+          mapped.updatedAt = value;
+        } else {
+          mapped[key] = value;
+        }
+      }
+      return mapped;
+    },
+    format(model: Record<string, any>) {
+      const mapped: Record<string, any> = {};
+      for (const [key, value] of Object.entries(model || {})) {
+        if (key === 'createdAt') {
+          mapped.created_at = value;
+        } else if (key === 'updatedAt') {
+          mapped.updated_at = value;
+        } else {
+          mapped[key] = value;
+        }
+      }
+      return mapped;
+    },
+  };
 
   id: string;
   createdAt: Date;

backend/src/models/contact-detail.model.ts

@@ -0,0 +1,33 @@
+import { BaseModel } from './base.model';
+
+export class ContactDetail extends BaseModel {
+  static tableName = 'contact_details';
+
+  id!: string;
+  relatedObjectType!: 'Account' | 'Contact';
+  relatedObjectId!: string;
+  detailType!: string;
+  label?: string;
+  value!: string;
+  isPrimary!: boolean;
+
+  // Provide optional relations for each supported parent type.
+  static relationMappings = {
+    account: {
+      relation: BaseModel.BelongsToOneRelation,
+      modelClass: 'account.model',
+      join: {
+        from: 'contact_details.relatedObjectId',
+        to: 'accounts.id',
+      },
+    },
+    contact: {
+      relation: BaseModel.BelongsToOneRelation,
+      modelClass: 'contact.model',
+      join: {
+        from: 'contact_details.relatedObjectId',
+        to: 'contacts.id',
+      },
+    },
+  };
+}

backend/src/models/contact.model.ts

@@ -0,0 +1,30 @@
+import { BaseModel } from './base.model';
+
+export class Contact extends BaseModel {
+  static tableName = 'contacts';
+
+  id!: string;
+  firstName!: string;
+  lastName!: string;
+  accountId!: string;
+  ownerId?: string;
+
+  static relationMappings = {
+    account: {
+      relation: BaseModel.BelongsToOneRelation,
+      modelClass: 'account.model',
+      join: {
+        from: 'contacts.accountId',
+        to: 'accounts.id',
+      },
+    },
+    owner: {
+      relation: BaseModel.BelongsToOneRelation,
+      modelClass: 'user.model',
+      join: {
+        from: 'contacts.ownerId',
+        to: 'users.id',
+      },
+    },
+  };
+}

backend/src/models/field-definition.model.ts

@@ -30,6 +30,8 @@ export interface UIMetadata {
   step?: number; // For number
   accept?: string; // For file/image
   relationDisplayField?: string; // Which field to display for relations
+  relationObjects?: string[]; // For polymorphic relations
+  relationTypeField?: string; // Field API name storing the selected relation type
   
   // Formatting
   format?: string; // Date format, number format, etc.

backend/src/object/field-mapper.service.ts

@@ -22,7 +22,9 @@ export interface FieldConfigDTO {
   step?: number;
   accept?: string;
   relationObject?: string;
+  relationObjects?: string[];
   relationDisplayField?: string;
+  relationTypeField?: string;
   format?: string;
   prefix?: string;
   suffix?: string;
@@ -43,6 +45,14 @@ export interface ObjectDefinitionDTO {
   description?: string;
   isSystem: boolean;
   fields: FieldConfigDTO[];
+  relatedLists?: Array<{
+    title: string;
+    relationName: string;
+    objectApiName: string;
+    fields: FieldConfigDTO[];
+    canCreate?: boolean;
+    createRoute?: string;
+  }>;
 }
 
 @Injectable()
@@ -98,10 +108,12 @@ export class FieldMapperService {
       step: uiMetadata.step,
       accept: uiMetadata.accept,
       relationObject: field.referenceObject,
+      relationObjects: uiMetadata.relationObjects,
       // For lookup fields, provide default display field if not specified
       relationDisplayField: isLookupField 
         ? (uiMetadata.relationDisplayField || 'name')
         : uiMetadata.relationDisplayField,
+      relationTypeField: uiMetadata.relationTypeField,
       
       // Formatting
       format: uiMetadata.format,
@@ -206,6 +218,17 @@ export class FieldMapperService {
         .filter((f: any) => f.isActive !== false)
         .sort((a: any, b: any) => (a.displayOrder || 0) - (b.displayOrder || 0))
         .map((f: any) => this.mapFieldToDTO(f)),
+      relatedLists: (objectDef.relatedLists || []).map((list: any) => ({
+        title: list.title,
+        relationName: list.relationName,
+        objectApiName: list.objectApiName,
+        fields: (list.fields || [])
+          .filter((f: any) => f.isActive !== false)
+          .map((f: any) => this.mapFieldToDTO(f))
+          .filter((f: any) => f.showOnList !== false),
+        canCreate: list.canCreate,
+        createRoute: list.createRoute,
+      })),
     };
   }
 

backend/src/object/models/dynamic-model.factory.ts

@@ -119,6 +119,47 @@ export class DynamicModelFactory {
           };
         }
 
+        // Add additional relation mappings (e.g., hasMany)
+        for (const relation of relations) {
+          if (mappings[relation.name]) {
+            continue;
+          }
+
+          let modelClass: any = relation.targetObjectApiName;
+          if (getModel) {
+            const resolvedModel = getModel(relation.targetObjectApiName);
+            if (resolvedModel) {
+              modelClass = resolvedModel;
+            } else {
+              continue;
+            }
+          }
+
+          const targetTable = DynamicModelFactory.getTableName(relation.targetObjectApiName);
+
+          if (relation.type === 'belongsTo') {
+            mappings[relation.name] = {
+              relation: Model.BelongsToOneRelation,
+              modelClass,
+              join: {
+                from: `${tableName}.${relation.fromColumn}`,
+                to: `${targetTable}.${relation.toColumn}`,
+              },
+            };
+          }
+
+          if (relation.type === 'hasMany') {
+            mappings[relation.name] = {
+              relation: Model.HasManyRelation,
+              modelClass,
+              join: {
+                from: `${tableName}.${relation.fromColumn}`,
+                to: `${targetTable}.${relation.toColumn}`,
+              },
+            };
+          }
+        }
+
         return mappings;
       }
 
@@ -138,6 +179,7 @@ export class DynamicModelFactory {
    * Convert a field definition to JSON schema property
    */
   private static fieldToJsonSchema(field: FieldDefinition): Record<string, any> {
+    const baseSchema = () => {
       switch (field.type.toUpperCase()) {
       case 'TEXT':
       case 'STRING':
@@ -185,6 +227,18 @@ export class DynamicModelFactory {
       default:
           return { type: 'string' };
       }
+    };
+
+    const schema = baseSchema();
+
+    // Allow null for non-required fields so optional strings/numbers don't fail validation
+    if (!field.isRequired) {
+      return {
+        anyOf: [schema, { type: 'null' }],
+      };
+    }
+
+    return schema;
   }
 
   /**
@@ -196,6 +250,9 @@ export class DynamicModelFactory {
       .replace(/([A-Z])/g, '_$1')
       .toLowerCase()
       .replace(/^_/, '');
+    if (snakeCase.endsWith('y')) {
+      return `${snakeCase.slice(0, -1)}ies`;
+    }
     return snakeCase.endsWith('s') ? snakeCase : `${snakeCase}s`;
   }
 }

backend/src/object/models/model.registry.ts

@@ -16,13 +16,17 @@ export class ModelRegistry {
    */
   registerModel(apiName: string, modelClass: ModelClass<BaseModel>): void {
     this.registry.set(apiName, modelClass);
+    const lowerKey = apiName.toLowerCase();
+    if (lowerKey !== apiName && !this.registry.has(lowerKey)) {
+      this.registry.set(lowerKey, modelClass);
+    }
   }
 
   /**
    * Get a model from the registry
    */
   getModel(apiName: string): ModelClass<BaseModel> {
-    const model = this.registry.get(apiName);
+    const model = this.registry.get(apiName) || this.registry.get(apiName.toLowerCase());
     if (!model) {
       throw new Error(`Model for ${apiName} not found in registry`);
     }
@@ -33,7 +37,7 @@ export class ModelRegistry {
    * Check if a model exists in the registry
    */
   hasModel(apiName: string): boolean {
-    return this.registry.has(apiName);
+    return this.registry.has(apiName) || this.registry.has(apiName.toLowerCase());
   }
 
   /**
@@ -46,7 +50,8 @@ export class ModelRegistry {
     // Returns undefined if model not found (for models not yet registered)
     const model = DynamicModelFactory.createModel(
       metadata,
-      (apiName: string) => this.registry.get(apiName),
+      (apiName: string) =>
+        this.registry.get(apiName) || this.registry.get(apiName.toLowerCase()),
     );
     this.registerModel(metadata.apiName, model);
     return model;

backend/src/object/models/model.service.ts

@@ -171,6 +171,25 @@ export class ModelService {
         }
       }
 
+      if (objectMetadata.relations) {
+        for (const relation of objectMetadata.relations) {
+          if (relation.targetObjectApiName) {
+            try {
+              await this.ensureModelWithDependencies(
+                tenantId,
+                relation.targetObjectApiName,
+                fetchMetadata,
+                visited,
+              );
+            } catch (error) {
+              this.logger.debug(
+                `Skipping registration of related model ${relation.targetObjectApiName}: ${error.message}`
+              );
+            }
+          }
+        }
+      }
+
       // Now create and register this model (all dependencies are ready)
       await this.createModelForObject(tenantId, objectMetadata);
       this.logger.log(`Registered model for ${objectApiName} in tenant ${tenantId}`);

backend/src/object/object.module.ts

@@ -9,9 +9,10 @@ import { MigrationModule } from '../migration/migration.module';
 import { RbacModule } from '../rbac/rbac.module';
 import { ModelRegistry } from './models/model.registry';
 import { ModelService } from './models/model.service';
+import { MeilisearchModule } from '../search/meilisearch.module';
 
 @Module({
-  imports: [TenantModule, MigrationModule, RbacModule],
+  imports: [TenantModule, MigrationModule, RbacModule, MeilisearchModule],
   providers: [
     ObjectService,
     SchemaManagementService,

backend/src/object/runtime-object.controller.ts

@@ -95,4 +95,20 @@ export class RuntimeObjectController {
       user.userId,
     );
   }
+
+  @Post(':objectApiName/records/bulk-delete')
+  async deleteRecords(
+    @TenantId() tenantId: string,
+    @Param('objectApiName') objectApiName: string,
+    @Body() body: { recordIds?: string[]; ids?: string[] },
+    @CurrentUser() user: any,
+  ) {
+    const recordIds: string[] = body?.recordIds || body?.ids || [];
+    return this.objectService.deleteRecords(
+      tenantId,
+      objectApiName,
+      recordIds,
+      user.userId,
+    );
+  }
 }

backend/src/object/schema-management.service.ts

@@ -15,7 +15,11 @@ export class SchemaManagementService {
     objectDefinition: ObjectDefinition,
     fields: FieldDefinition[],
   ) {
-    const tableName = this.getTableName(objectDefinition.apiName);
+    const tableName = this.getTableName(
+      objectDefinition.apiName,
+      objectDefinition.label,
+      objectDefinition.pluralLabel,
+    );
 
     // Check if table already exists
     const exists = await knex.schema.hasTable(tableName);
@@ -44,8 +48,10 @@ export class SchemaManagementService {
     knex: Knex,
     objectApiName: string,
     field: FieldDefinition,
+    objectLabel?: string,
+    pluralLabel?: string,
   ) {
-    const tableName = this.getTableName(objectApiName);
+    const tableName = this.getTableName(objectApiName, objectLabel, pluralLabel);
 
     await knex.schema.alterTable(tableName, (table) => {
       this.addFieldColumn(table, field);
@@ -61,8 +67,10 @@ export class SchemaManagementService {
     knex: Knex,
     objectApiName: string,
     fieldApiName: string,
+    objectLabel?: string,
+    pluralLabel?: string,
   ) {
-    const tableName = this.getTableName(objectApiName);
+    const tableName = this.getTableName(objectApiName, objectLabel, pluralLabel);
 
     await knex.schema.alterTable(tableName, (table) => {
       table.dropColumn(fieldApiName);
@@ -71,11 +79,44 @@ export class SchemaManagementService {
     this.logger.log(`Removed field ${fieldApiName} from table ${tableName}`);
   }
 
+  /**
+   * Alter a field in an existing object table
+   * Handles safe updates like changing NOT NULL or constraints
+   * Warns about potentially destructive operations
+   */
+  async alterFieldInTable(
+    knex: Knex,
+    objectApiName: string,
+    fieldApiName: string,
+    field: FieldDefinition,
+    objectLabel?: string,
+    pluralLabel?: string,
+    options?: {
+      skipTypeChange?: boolean; // Skip if type change would lose data
+    },
+  ) {
+    const tableName = this.getTableName(objectApiName, objectLabel, pluralLabel);
+    const skipTypeChange = options?.skipTypeChange ?? true;
+
+    await knex.schema.alterTable(tableName, (table) => {
+      // Drop the existing column and recreate with new definition
+      // Note: This approach works for metadata changes, but type changes may need data migration
+      table.dropColumn(fieldApiName);
+    });
+
+    // Recreate the column with new definition
+    await knex.schema.alterTable(tableName, (table) => {
+      this.addFieldColumn(table, field);
+    });
+
+    this.logger.log(`Altered field ${fieldApiName} in table ${tableName}`);
+  }
+
   /**
    * Drop an object table
    */
-  async dropObjectTable(knex: Knex, objectApiName: string) {
+  async dropObjectTable(knex: Knex, objectApiName: string, objectLabel?: string, pluralLabel?: string) {
-    const tableName = this.getTableName(objectApiName);
+    const tableName = this.getTableName(objectApiName, objectLabel, pluralLabel);
 
     await knex.schema.dropTableIfExists(tableName);
 
@@ -94,15 +135,30 @@ export class SchemaManagementService {
     let column: Knex.ColumnBuilder;
 
     switch (field.type) {
+      // Text types
       case 'String':
+      case 'TEXT':
+      case 'EMAIL':
+      case 'PHONE':
+      case 'URL':
         column = table.string(columnName, field.length || 255);
         break;
 
       case 'Text':
+      case 'LONG_TEXT':
         column = table.text(columnName);
         break;
 
+      case 'PICKLIST':
+      case 'MULTI_PICKLIST':
+        column = table.string(columnName, 255);
+        break;
+
+      // Numeric types
       case 'Number':
+      case 'NUMBER':
+      case 'CURRENCY':
+      case 'PERCENT':
         if (field.scale && field.scale > 0) {
           column = table.decimal(
             columnName,
@@ -115,18 +171,28 @@ export class SchemaManagementService {
         break;
 
       case 'Boolean':
+      case 'BOOLEAN':
         column = table.boolean(columnName).defaultTo(false);
         break;
 
+      // Date types
       case 'Date':
+      case 'DATE':
         column = table.date(columnName);
         break;
 
       case 'DateTime':
+      case 'DATE_TIME':
         column = table.datetime(columnName);
         break;
 
+      case 'TIME':
+        column = table.time(columnName);
+        break;
+
+      // Relationship types
       case 'Reference':
+      case 'LOOKUP':
         column = table.uuid(columnName);
         if (field.referenceObject) {
           const refTableName = this.getTableName(field.referenceObject);
@@ -134,19 +200,30 @@ export class SchemaManagementService {
         }
         break;
 
+      // Email (legacy)
       case 'Email':
         column = table.string(columnName, 255);
         break;
 
+      // Phone (legacy)
       case 'Phone':
         column = table.string(columnName, 50);
         break;
 
+      // Url (legacy)
       case 'Url':
         column = table.string(columnName, 255);
         break;
 
+      // File types
+      case 'FILE':
+      case 'IMAGE':
+        column = table.text(columnName); // Store file path or URL
+        break;
+
+      // JSON
       case 'Json':
+      case 'JSON':
         column = table.json(columnName);
         break;
 
@@ -174,16 +251,35 @@ export class SchemaManagementService {
   /**
    * Convert object API name to table name (convert to snake_case, pluralize)
    */
-  private getTableName(apiName: string): string {
+  private getTableName(apiName: string, objectLabel?: string, pluralLabel?: string): string {
-    // Convert PascalCase to snake_case
+    const toSnakePlural = (source: string): string => {
-    const snakeCase = apiName
+      const cleaned = source.replace(/[\s-]+/g, '_');
-      .replace(/([A-Z])/g, '_$1')
+      const snake = cleaned
+        .replace(/([a-z0-9])([A-Z])/g, '$1_$2')
+        .replace(/__+/g, '_')
         .toLowerCase()
         .replace(/^_/, '');
 
-    // Simple pluralization (append 's' if not already plural)
+      if (snake.endsWith('y')) return `${snake.slice(0, -1)}ies`;
-    // In production, use a proper pluralization library
+      if (snake.endsWith('s')) return snake;
-    return snakeCase.endsWith('s') ? snakeCase : `${snakeCase}s`;
+      return `${snake}s`;
+    };
+
+    const fromApi = toSnakePlural(apiName);
+    const fromLabel = objectLabel ? toSnakePlural(objectLabel) : null;
+    const fromPlural = pluralLabel ? toSnakePlural(pluralLabel) : null;
+
+    if (fromLabel && fromLabel.includes('_') && !fromApi.includes('_')) {
+      return fromLabel;
+    }
+    if (fromPlural && fromPlural.includes('_') && !fromApi.includes('_')) {
+      return fromPlural;
+    }
+
+    if (fromLabel && fromLabel !== fromApi) return fromLabel;
+    if (fromPlural && fromPlural !== fromApi) return fromPlural;
+
+    return fromApi;
   }
 
   /**

backend/src/object/setup-object.controller.ts

@@ -4,6 +4,7 @@ import {
   Post,
   Patch,
   Put,
+  Delete,
   Param,
   Body,
   UseGuards,
@@ -72,6 +73,35 @@ export class SetupObjectController {
     return this.fieldMapperService.mapFieldToDTO(field);
   }
 
+  @Put(':objectApiName/fields/:fieldApiName')
+  async updateFieldDefinition(
+    @TenantId() tenantId: string,
+    @Param('objectApiName') objectApiName: string,
+    @Param('fieldApiName') fieldApiName: string,
+    @Body() data: any,
+  ) {
+    const field = await this.objectService.updateFieldDefinition(
+      tenantId,
+      objectApiName,
+      fieldApiName,
+      data,
+    );
+    return this.fieldMapperService.mapFieldToDTO(field);
+  }
+
+  @Delete(':objectApiName/fields/:fieldApiName')
+  async deleteFieldDefinition(
+    @TenantId() tenantId: string,
+    @Param('objectApiName') objectApiName: string,
+    @Param('fieldApiName') fieldApiName: string,
+  ) {
+    return this.objectService.deleteFieldDefinition(
+      tenantId,
+      objectApiName,
+      fieldApiName,
+    );
+  }
+
   @Patch(':objectApiName')
   async updateObjectDefinition(
     @TenantId() tenantId: string,

backend/src/page-layout/dto/page-layout.dto.ts

@@ -20,6 +20,7 @@ export class CreatePageLayoutDto {
       w: number;
       h: number;
     }>;
+    relatedLists?: string[];
   };
 
   @IsString()
@@ -46,6 +47,7 @@ export class UpdatePageLayoutDto {
       w: number;
       h: number;
     }>;
+    relatedLists?: string[];
   };
 
   @IsString()

backend/src/rbac/ability.factory.ts

@@ -180,8 +180,9 @@ export class AbilityFactory {
       }
     }
 
-    // Field permissions exist but this field is not explicitly granted → deny
+    // No explicit rule for this field but other field permissions exist.
-    return false;
+    // Default to allow so new fields don't get silently stripped and fail validation.
+    return true;
   }
 
   /**

backend/src/rbac/record-sharing.controller.ts

@@ -45,7 +45,11 @@ export class RecordSharingController {
     }
 
     // Get the record to check ownership
-    const tableName = this.getTableName(objectDef.apiName);
+    const tableName = this.getTableName(
+      objectDef.apiName,
+      objectDef.label,
+      objectDef.pluralLabel,
+    );
     const record = await knex(tableName)
       .where({ id: recordId })
       .first();
@@ -109,7 +113,11 @@ export class RecordSharingController {
     }
 
     // Get the record to check ownership
-    const tableName = this.getTableName(objectDef.apiName);
+    const tableName = this.getTableName(
+      objectDef.apiName,
+      objectDef.label,
+      objectDef.pluralLabel,
+    );
     const record = await knex(tableName)
       .where({ id: recordId })
       .first();
@@ -207,7 +215,11 @@ export class RecordSharingController {
     }
 
     // Get the record to check ownership
-    const tableName = this.getTableName(objectDef.apiName);
+    const tableName = this.getTableName(
+      objectDef.apiName,
+      objectDef.label,
+      objectDef.pluralLabel,
+    );
     const record = await knex(tableName)
       .where({ id: recordId })
       .first();
@@ -305,20 +317,34 @@ export class RecordSharingController {
     return false;
   }
 
-  private getTableName(apiName: string): string {
+  private getTableName(apiName: string, objectLabel?: string, pluralLabel?: string): string {
-    // Convert CamelCase to snake_case and pluralize
+    const toSnakePlural = (source: string): string => {
-    const snakeCase = apiName
+      const cleaned = source.replace(/[\s-]+/g, '_');
-      .replace(/([A-Z])/g, '_$1')
+      const snake = cleaned
+        .replace(/([a-z0-9])([A-Z])/g, '$1_$2')
+        .replace(/__+/g, '_')
         .toLowerCase()
         .replace(/^_/, '');
 
-    // Simple pluralization
+      if (snake.endsWith('y')) return `${snake.slice(0, -1)}ies`;
-    if (snakeCase.endsWith('y')) {
+      if (snake.endsWith('s')) return snake;
-      return snakeCase.slice(0, -1) + 'ies';
+      return `${snake}s`;
-    } else if (snakeCase.endsWith('s')) {
+    };
-      return snakeCase + 'es';
+
-    } else {
+    const fromApi = toSnakePlural(apiName);
-      return snakeCase + 's';
+    const fromLabel = objectLabel ? toSnakePlural(objectLabel) : null;
+    const fromPlural = pluralLabel ? toSnakePlural(pluralLabel) : null;
+
+    if (fromLabel && fromLabel.includes('_') && !fromApi.includes('_')) {
+      return fromLabel;
     }
+    if (fromPlural && fromPlural.includes('_') && !fromApi.includes('_')) {
+      return fromPlural;
+    }
+
+    if (fromLabel && fromLabel !== fromApi) return fromLabel;
+    if (fromPlural && fromPlural !== fromApi) return fromPlural;
+
+    return fromApi;
   }
 }

backend/src/search/meilisearch.module.ts

@@ -0,0 +1,8 @@
+import { Module } from '@nestjs/common';
+import { MeilisearchService } from './meilisearch.service';
+
+@Module({
+  providers: [MeilisearchService],
+  exports: [MeilisearchService],
+})
+export class MeilisearchModule {}

backend/src/search/meilisearch.service.ts

@@ -0,0 +1,244 @@
+import { Injectable, Logger } from '@nestjs/common';
+import * as http from 'http';
+import * as https from 'https';
+
+type MeiliConfig = {
+  host: string;
+  apiKey?: string;
+  indexPrefix: string;
+};
+
+@Injectable()
+export class MeilisearchService {
+  private readonly logger = new Logger(MeilisearchService.name);
+
+  isEnabled(): boolean {
+    return Boolean(this.getConfig());
+  }
+
+  async searchRecord(
+    tenantId: string,
+    objectApiName: string,
+    query: string,
+    displayField?: string,
+  ): Promise<{ id: string; hit: any } | null> {
+    const config = this.getConfig();
+    if (!config) return null;
+
+    const indexName = this.buildIndexName(config, tenantId, objectApiName);
+    const url = `${config.host}/indexes/${encodeURIComponent(indexName)}/search`;
+
+    console.log('querying Meilisearch index:', { indexName, query, displayField });
+
+    try {
+      const response = await this.requestJson('POST', url, {
+        q: query,
+        limit: 5,
+      }, this.buildHeaders(config));
+
+      if (!this.isSuccessStatus(response.status)) {
+        this.logger.warn(
+          `Meilisearch query failed for index ${indexName}: ${response.status}`,
+        );
+        return null;
+      }
+
+      const hits = Array.isArray(response.body?.hits) ? response.body.hits : [];
+      if (hits.length === 0) return null;
+
+      if (displayField) {
+        const loweredQuery = query.toLowerCase();
+        const exactMatch = hits.find((hit: any) => {
+          const value = hit?.[displayField];
+          return value && String(value).toLowerCase() === loweredQuery;
+        });
+        if (exactMatch?.id) {
+          return { id: exactMatch.id, hit: exactMatch };
+        }
+      }
+
+      const match = hits[0];
+      if (match?.id) {
+        return { id: match.id, hit: match };
+      }
+    } catch (error) {
+      this.logger.warn(`Meilisearch lookup failed: ${error.message}`);
+    }
+
+    return null;
+  }
+
+  async searchRecords(
+    tenantId: string,
+    objectApiName: string,
+    query: string,
+    options?: { limit?: number; offset?: number },
+  ): Promise<{ hits: any[]; total: number }> {
+    const config = this.getConfig();
+    if (!config) return { hits: [], total: 0 };
+
+    const indexName = this.buildIndexName(config, tenantId, objectApiName);
+    const url = `${config.host}/indexes/${encodeURIComponent(indexName)}/search`;
+    const limit = Number.isFinite(Number(options?.limit)) ? Number(options?.limit) : 20;
+    const offset = Number.isFinite(Number(options?.offset)) ? Number(options?.offset) : 0;
+
+    try {
+      const response = await this.requestJson('POST', url, {
+        q: query,
+        limit,
+        offset,
+      }, this.buildHeaders(config));
+
+      console.log('Meilisearch response body:', response.body);
+
+      if (!this.isSuccessStatus(response.status)) {
+        this.logger.warn(
+          `Meilisearch query failed for index ${indexName}: ${response.status}`,
+        );
+        return { hits: [], total: 0 };
+      }
+
+      const hits = Array.isArray(response.body?.hits) ? response.body.hits : [];
+      const total =
+        response.body?.estimatedTotalHits ??
+        response.body?.nbHits ??
+        hits.length;
+      return { hits, total };
+    } catch (error) {
+      this.logger.warn(`Meilisearch query failed: ${error.message}`);
+      return { hits: [], total: 0 };
+    }
+  }
+
+  async upsertRecord(
+    tenantId: string,
+    objectApiName: string,
+    record: Record<string, any>,
+    fieldsToIndex: string[],
+  ): Promise<void> {
+    const config = this.getConfig();
+    if (!config || !record?.id) return;
+
+    const indexName = this.buildIndexName(config, tenantId, objectApiName);
+    const url = `${config.host}/indexes/${encodeURIComponent(indexName)}/documents?primaryKey=id`;
+    const document = this.pickRecordFields(record, fieldsToIndex);
+
+    try {
+      const response = await this.requestJson('POST', url, [document], this.buildHeaders(config));
+      if (!this.isSuccessStatus(response.status)) {
+        this.logger.warn(
+          `Meilisearch upsert failed for index ${indexName}: ${response.status}`,
+        );
+      }
+    } catch (error) {
+      this.logger.warn(`Meilisearch upsert failed: ${error.message}`);
+    }
+  }
+
+  async deleteRecord(
+    tenantId: string,
+    objectApiName: string,
+    recordId: string,
+  ): Promise<void> {
+    const config = this.getConfig();
+    if (!config || !recordId) return;
+
+    const indexName = this.buildIndexName(config, tenantId, objectApiName);
+    const url = `${config.host}/indexes/${encodeURIComponent(indexName)}/documents/${encodeURIComponent(recordId)}`;
+
+    try {
+      const response = await this.requestJson('DELETE', url, undefined, this.buildHeaders(config));
+      if (!this.isSuccessStatus(response.status)) {
+        this.logger.warn(
+          `Meilisearch delete failed for index ${indexName}: ${response.status}`,
+        );
+      }
+    } catch (error) {
+      this.logger.warn(`Meilisearch delete failed: ${error.message}`);
+    }
+  }
+
+  private getConfig(): MeiliConfig | null {
+    const host = process.env.MEILI_HOST || process.env.MEILISEARCH_HOST;
+    if (!host) return null;
+    const trimmedHost = host.replace(/\/+$/, '');
+    const apiKey = process.env.MEILI_API_KEY || process.env.MEILISEARCH_API_KEY;
+    const indexPrefix = process.env.MEILI_INDEX_PREFIX || 'tenant_';
+    return { host: trimmedHost, apiKey, indexPrefix };
+  }
+
+  private buildIndexName(config: MeiliConfig, tenantId: string, objectApiName: string): string {
+    return `${config.indexPrefix}${tenantId}_${objectApiName}`.toLowerCase();
+  }
+
+  private buildHeaders(config: MeiliConfig): Record<string, string> {
+    const headers: Record<string, string> = {
+      'Content-Type': 'application/json',
+      Accept: 'application/json',
+    };
+    if (config.apiKey) {
+      headers['X-Meili-API-Key'] = config.apiKey;
+      headers.Authorization = `Bearer ${config.apiKey}`;
+    }
+    return headers;
+  }
+
+  private pickRecordFields(record: Record<string, any>, fields: string[]): Record<string, any> {
+    const document: Record<string, any> = { id: record.id };
+    for (const field of fields) {
+      if (record[field] !== undefined) {
+        document[field] = record[field];
+      }
+    }
+    return document;
+  }
+
+  private isSuccessStatus(status: number): boolean {
+    return status >= 200 && status < 300;
+  }
+
+  private requestJson(
+    method: 'POST' | 'DELETE',
+    url: string,
+    payload: any,
+    headers: Record<string, string>,
+  ): Promise<{ status: number; body: any }> {
+    return new Promise((resolve, reject) => {
+      const parsedUrl = new URL(url);
+      const client = parsedUrl.protocol === 'https:' ? https : http;
+      const request = client.request(
+        {
+          method,
+          hostname: parsedUrl.hostname,
+          port: parsedUrl.port,
+          path: `${parsedUrl.pathname}${parsedUrl.search}`,
+          headers,
+        },
+        (response) => {
+          let data = '';
+          response.on('data', (chunk) => {
+            data += chunk;
+          });
+          response.on('end', () => {
+            if (!data) {
+              resolve({ status: response.statusCode || 0, body: null });
+              return;
+            }
+            try {
+              const body = JSON.parse(data);
+              resolve({ status: response.statusCode || 0, body });
+            } catch (error) {
+              reject(error);
+            }
+          });
+        },
+      );
+
+      request.on('error', reject);
+      if (payload !== undefined) {
+        request.write(JSON.stringify(payload));
+      }
+      request.end();
+    });
+  }
+}

backend/src/tenant/tenant-database.service.ts

@@ -110,8 +110,9 @@ export class TenantDatabaseService {
    * @deprecated Use getTenantKnexByDomain or getTenantKnexById instead
    */
   async getTenantKnex(tenantIdOrSlug: string): Promise<Knex> {
-    // Assume it's a domain if it contains a dot
+    // Resolve tenant ID first, then get connection by ID
-    return this.getTenantKnexByDomain(tenantIdOrSlug);
+    const tenantId = await this.resolveTenantId(tenantIdOrSlug);
+    return this.getTenantKnexById(tenantId);
   }
 
   /**
@@ -242,4 +243,26 @@ export class TenantDatabaseService {
     decrypted += decipher.final('utf8');
     return decrypted;
   }
+
+  /**
+   * Encrypt integrations config JSON object
+   * @param config - Plain object containing integration credentials
+   * @returns Encrypted JSON string
+   */
+  encryptIntegrationsConfig(config: any): string {
+    if (!config) return null;
+    const jsonString = JSON.stringify(config);
+    return this.encryptPassword(jsonString);
+  }
+
+  /**
+   * Decrypt integrations config JSON string
+   * @param encryptedConfig - Encrypted JSON string
+   * @returns Plain object with integration credentials
+   */
+  decryptIntegrationsConfig(encryptedConfig: string): any {
+    if (!encryptedConfig) return null;
+    const decrypted = this.decryptPassword(encryptedConfig);
+    return JSON.parse(decrypted);
+  }
 }

backend/src/tenant/tenant-provisioning.service.ts

@@ -176,7 +176,7 @@ export class TenantProvisioningService {
    * Seed default data for new tenant
    */
   private async seedDefaultData(tenantId: string) {
-    const tenantKnex = await this.tenantDbService.getTenantKnex(tenantId);
+    const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
 
     try {
       // Create default roles

backend/src/tenant/tenant.controller.ts

@@ -0,0 +1,155 @@
+import {
+  Controller,
+  Get,
+  Put,
+  Body,
+  UseGuards,
+  Req,
+} from '@nestjs/common';
+import { JwtAuthGuard } from '../auth/jwt-auth.guard';
+import { TenantDatabaseService } from './tenant-database.service';
+import { getCentralPrisma } from '../prisma/central-prisma.service';
+import { TenantId } from './tenant.decorator';
+
+@Controller('tenant')
+@UseGuards(JwtAuthGuard)
+export class TenantController {
+  constructor(private readonly tenantDbService: TenantDatabaseService) {}
+
+  /**
+   * Get integrations configuration for the current tenant
+   */
+  @Get('integrations')
+  async getIntegrationsConfig(@TenantId() domain: string) {
+    const centralPrisma = getCentralPrisma();
+    
+    // Look up tenant by domain
+    const domainRecord = await centralPrisma.domain.findUnique({
+      where: { domain },
+      include: { tenant: { select: { id: true, integrationsConfig: true } } },
+    });
+
+    if (!domainRecord?.tenant || !domainRecord.tenant.integrationsConfig) {
+      return { data: null };
+    }
+
+    // Decrypt the config
+    const config = this.tenantDbService.decryptIntegrationsConfig(
+      domainRecord.tenant.integrationsConfig as any,
+    );
+
+    // Return config with sensitive fields masked
+    const maskedConfig = this.maskSensitiveFields(config);
+
+    return { data: maskedConfig };
+  }
+
+  /**
+   * Update integrations configuration for the current tenant
+   */
+  @Put('integrations')
+  async updateIntegrationsConfig(
+    @TenantId() domain: string,
+    @Body() body: { integrationsConfig: any },
+  ) {
+    const { integrationsConfig } = body;
+
+    if (!domain) {
+      throw new Error('Domain is missing from request');
+    }
+
+    // Look up tenant by domain
+    const centralPrisma = getCentralPrisma();
+    const domainRecord = await centralPrisma.domain.findUnique({
+      where: { domain },
+      include: { tenant: { select: { id: true, integrationsConfig: true } } },
+    });
+
+    if (!domainRecord?.tenant) {
+      throw new Error(`Tenant with domain ${domain} not found`);
+    }
+
+    // Merge with existing config to preserve masked values
+    let finalConfig = integrationsConfig;
+    if (domainRecord.tenant.integrationsConfig) {
+      const existingConfig = this.tenantDbService.decryptIntegrationsConfig(
+        domainRecord.tenant.integrationsConfig as any,
+      );
+
+      // Replace masked values with actual values from existing config
+      finalConfig = this.unmaskConfig(integrationsConfig, existingConfig);
+    }
+
+    // Encrypt the config
+    const encryptedConfig = this.tenantDbService.encryptIntegrationsConfig(
+      finalConfig,
+    );
+
+    // Update in database
+    await centralPrisma.tenant.update({
+      where: { id: domainRecord.tenant.id },
+      data: {
+        integrationsConfig: encryptedConfig as any,
+      },
+    });
+
+    return {
+      success: true,
+      message: 'Integrations configuration updated successfully',
+    };
+  }
+
+  /**
+   * Unmask config by replacing masked values with actual values from existing config
+   */
+  private unmaskConfig(newConfig: any, existingConfig: any): any {
+    const result = { ...newConfig };
+
+    // Unmask Twilio credentials
+    if (result.twilio && existingConfig.twilio) {
+      if (result.twilio.authToken === '••••••••' && existingConfig.twilio.authToken) {
+        result.twilio.authToken = existingConfig.twilio.authToken;
+      }
+      if (result.twilio.apiSecret === '••••••••' && existingConfig.twilio.apiSecret) {
+        result.twilio.apiSecret = existingConfig.twilio.apiSecret;
+      }
+    }
+
+    // Unmask OpenAI credentials
+    if (result.openai && existingConfig.openai) {
+      if (result.openai.apiKey === '••••••••' && existingConfig.openai.apiKey) {
+        result.openai.apiKey = existingConfig.openai.apiKey;
+      }
+    }
+
+    return result;
+  }
+
+  /**
+   * Mask sensitive fields for API responses
+   */
+  private maskSensitiveFields(config: any): any {
+    if (!config) return null;
+
+    const masked = { ...config };
+
+    // Mask Twilio credentials
+    if (masked.twilio) {
+      masked.twilio = {
+        ...masked.twilio,
+        authToken: masked.twilio.authToken ? '••••••••' : '',
+        apiSecret: masked.twilio.apiSecret ? '••••••••' : '',
+      };
+    }
+
+    // Mask OpenAI credentials
+    if (masked.openai) {
+      masked.openai = {
+        ...masked.openai,
+        apiKey: masked.openai.apiKey ? '••••••••' : '',
+      };
+    }
+
+    return masked;
+  }
+}

backend/src/tenant/tenant.module.ts

@@ -4,11 +4,12 @@ import { TenantDatabaseService } from './tenant-database.service';
 import { TenantProvisioningService } from './tenant-provisioning.service';
 import { TenantProvisioningController } from './tenant-provisioning.controller';
 import { CentralAdminController } from './central-admin.controller';
+import { TenantController } from './tenant.controller';
 import { PrismaModule } from '../prisma/prisma.module';
 
 @Module({
   imports: [PrismaModule],
-  controllers: [TenantProvisioningController, CentralAdminController],
+  controllers: [TenantProvisioningController, CentralAdminController, TenantController],
   providers: [
     TenantDatabaseService,
     TenantProvisioningService,

backend/src/voice/audio-converter.service.ts

@@ -0,0 +1,214 @@
+import { Injectable, Logger } from '@nestjs/common';
+
+/**
+ * Audio format converter for Twilio <-> OpenAI audio streaming
+ * 
+ * Twilio Media Streams format:
+ * - Codec: μ-law (G.711)
+ * - Sample rate: 8kHz
+ * - Encoding: base64
+ * - Chunk size: 20ms (160 bytes)
+ * 
+ * OpenAI Realtime API format:
+ * - Codec: PCM16
+ * - Sample rate: 24kHz
+ * - Encoding: base64
+ * - Mono channel
+ */
+@Injectable()
+export class AudioConverterService {
+  private readonly logger = new Logger(AudioConverterService.name);
+
+  // μ-law decode lookup table
+  private readonly MULAW_DECODE_TABLE = this.buildMuLawDecodeTable();
+
+  // μ-law encode lookup table
+  private readonly MULAW_ENCODE_TABLE = this.buildMuLawEncodeTable();
+
+  /**
+   * Build μ-law to linear PCM16 decode table
+   */
+  private buildMuLawDecodeTable(): Int16Array {
+    const table = new Int16Array(256);
+    for (let i = 0; i < 256; i++) {
+      const mulaw = ~i;
+      const exponent = (mulaw >> 4) & 0x07;
+      const mantissa = mulaw & 0x0f;
+      let sample = (mantissa << 3) + 0x84;
+      sample <<= exponent;
+      sample -= 0x84;
+      if ((mulaw & 0x80) === 0) {
+        sample = -sample;
+      }
+      table[i] = sample;
+    }
+    return table;
+  }
+
+  /**
+   * Build linear PCM16 to μ-law encode table
+   */
+  private buildMuLawEncodeTable(): Uint8Array {
+    const table = new Uint8Array(65536);
+    for (let i = 0; i < 65536; i++) {
+      const sample = (i - 32768);
+      const sign = sample < 0 ? 0x80 : 0x00;
+      const magnitude = Math.abs(sample);
+      
+      // Add bias
+      let biased = magnitude + 0x84;
+      
+      // Find exponent
+      let exponent = 7;
+      for (let exp = 0; exp < 8; exp++) {
+        if (biased <= (0xff << exp)) {
+          exponent = exp;
+          break;
+        }
+      }
+      
+      // Extract mantissa
+      const mantissa = (biased >> (exponent + 3)) & 0x0f;
+      
+      // Combine sign, exponent, mantissa
+      const mulaw = ~(sign | (exponent << 4) | mantissa);
+      table[i] = mulaw & 0xff;
+    }
+    return table;
+  }
+
+  /**
+   * Decode μ-law audio to linear PCM16
+   * @param mulawData - Buffer containing μ-law encoded audio
+   * @returns Buffer containing PCM16 audio (16-bit little-endian)
+   */
+  decodeMuLaw(mulawData: Buffer): Buffer {
+    const pcm16 = Buffer.allocUnsafe(mulawData.length * 2);
+    
+    for (let i = 0; i < mulawData.length; i++) {
+      const sample = this.MULAW_DECODE_TABLE[mulawData[i]];
+      pcm16.writeInt16LE(sample, i * 2);
+    }
+    
+    return pcm16;
+  }
+
+  /**
+   * Encode linear PCM16 to μ-law
+   * @param pcm16Data - Buffer containing PCM16 audio (16-bit little-endian)
+   * @returns Buffer containing μ-law encoded audio
+   */
+  encodeMuLaw(pcm16Data: Buffer): Buffer {
+    const mulaw = Buffer.allocUnsafe(pcm16Data.length / 2);
+    
+    for (let i = 0; i < pcm16Data.length; i += 2) {
+      const sample = pcm16Data.readInt16LE(i);
+      const index = (sample + 32768) & 0xffff;
+      mulaw[i / 2] = this.MULAW_ENCODE_TABLE[index];
+    }
+    
+    return mulaw;
+  }
+
+  /**
+   * Resample audio from 8kHz to 24kHz (linear interpolation)
+   * @param pcm16Data - Buffer containing 8kHz PCM16 audio
+   * @returns Buffer containing 24kHz PCM16 audio
+   */
+  resample8kTo24k(pcm16Data: Buffer): Buffer {
+    const inputSamples = pcm16Data.length / 2;
+    const outputSamples = Math.floor(inputSamples * 3); // 8k * 3 = 24k
+    const output = Buffer.allocUnsafe(outputSamples * 2);
+    
+    for (let i = 0; i < outputSamples; i++) {
+      const srcIndex = i / 3;
+      const srcIndexFloor = Math.floor(srcIndex);
+      const srcIndexCeil = Math.min(srcIndexFloor + 1, inputSamples - 1);
+      const fraction = srcIndex - srcIndexFloor;
+      
+      const sample1 = pcm16Data.readInt16LE(srcIndexFloor * 2);
+      const sample2 = pcm16Data.readInt16LE(srcIndexCeil * 2);
+      
+      // Linear interpolation
+      const interpolated = Math.round(sample1 + (sample2 - sample1) * fraction);
+      output.writeInt16LE(interpolated, i * 2);
+    }
+    
+    return output;
+  }
+
+  /**
+   * Resample audio from 24kHz to 8kHz (decimation with averaging)
+   * @param pcm16Data - Buffer containing 24kHz PCM16 audio
+   * @returns Buffer containing 8kHz PCM16 audio
+   */
+  resample24kTo8k(pcm16Data: Buffer): Buffer {
+    const inputSamples = pcm16Data.length / 2;
+    const outputSamples = Math.floor(inputSamples / 3); // 24k / 3 = 8k
+    const output = Buffer.allocUnsafe(outputSamples * 2);
+    
+    for (let i = 0; i < outputSamples; i++) {
+      // Average 3 samples for anti-aliasing
+      const idx1 = Math.min(i * 3, inputSamples - 1);
+      const idx2 = Math.min(i * 3 + 1, inputSamples - 1);
+      const idx3 = Math.min(i * 3 + 2, inputSamples - 1);
+      
+      const sample1 = pcm16Data.readInt16LE(idx1 * 2);
+      const sample2 = pcm16Data.readInt16LE(idx2 * 2);
+      const sample3 = pcm16Data.readInt16LE(idx3 * 2);
+      
+      const averaged = Math.round((sample1 + sample2 + sample3) / 3);
+      output.writeInt16LE(averaged, i * 2);
+    }
+    
+    return output;
+  }
+
+  /**
+   * Convert Twilio μ-law 8kHz to OpenAI PCM16 24kHz
+   * @param twilioBase64 - Base64-encoded μ-law audio from Twilio
+   * @returns Base64-encoded PCM16 24kHz audio for OpenAI
+   */
+  twilioToOpenAI(twilioBase64: string): string {
+    try {
+      // Decode base64
+      const mulawBuffer = Buffer.from(twilioBase64, 'base64');
+      
+      // μ-law -> PCM16
+      const pcm16_8k = this.decodeMuLaw(mulawBuffer);
+      
+      // 8kHz -> 24kHz
+      const pcm16_24k = this.resample8kTo24k(pcm16_8k);
+      
+      // Encode to base64
+      return pcm16_24k.toString('base64');
+    } catch (error) {
+      this.logger.error('Error converting Twilio to OpenAI audio', error);
+      throw error;
+    }
+  }
+
+  /**
+   * Convert OpenAI PCM16 24kHz to Twilio μ-law 8kHz
+   * @param openaiBase64 - Base64-encoded PCM16 24kHz audio from OpenAI
+   * @returns Base64-encoded μ-law 8kHz audio for Twilio
+   */
+  openAIToTwilio(openaiBase64: string): string {
+    try {
+      // Decode base64
+      const pcm16_24k = Buffer.from(openaiBase64, 'base64');
+      
+      // 24kHz -> 8kHz
+      const pcm16_8k = this.resample24kTo8k(pcm16_24k);
+      
+      // PCM16 -> μ-law
+      const mulawBuffer = this.encodeMuLaw(pcm16_8k);
+      
+      // Encode to base64
+      return mulawBuffer.toString('base64');
+    } catch (error) {
+      this.logger.error('Error converting OpenAI to Twilio audio', error);
+      throw error;
+    }
+  }
+}

backend/src/voice/dto/call-event.dto.ts

@@ -0,0 +1,25 @@
+export interface CallEventDto {
+  callSid: string;
+  direction: 'inbound' | 'outbound';
+  fromNumber: string;
+  toNumber: string;
+  status: string;
+}
+
+export interface DtmfEventDto {
+  callSid: string;
+  digit: string;
+}
+
+export interface TranscriptEventDto {
+  callSid: string;
+  transcript: string;
+  isFinal: boolean;
+}
+
+export interface AiSuggestionDto {
+  callSid: string;
+  suggestion: string;
+  type: 'response' | 'action' | 'insight';
+  data?: any;
+}

backend/src/voice/dto/initiate-call.dto.ts

@@ -0,0 +1,10 @@
+import { IsString, IsNotEmpty, Matches } from 'class-validator';
+
+export class InitiateCallDto {
+  @IsString()
+  @IsNotEmpty()
+  @Matches(/^\+?[1-9]\d{1,14}$/, {
+    message: 'Invalid phone number format (use E.164 format)',
+  })
+  toNumber: string;
+}

backend/src/voice/interfaces/integration-config.interface.ts

@@ -0,0 +1,20 @@
+export interface TwilioConfig {
+  accountSid: string;
+  authToken: string;
+  phoneNumber: string;
+  apiKey?: string;  // API Key SID for generating access tokens
+  apiSecret?: string;  // API Key Secret
+  twimlAppSid?: string;  // TwiML App SID for Voice SDK
+}
+
+export interface OpenAIConfig {
+  apiKey: string;
+  assistantId?: string;
+  model?: string;
+  voice?: string;
+}
+
+export interface IntegrationsConfig {
+  twilio?: TwilioConfig;
+  openai?: OpenAIConfig;
+}

backend/src/voice/voice.controller.ts

@@ -0,0 +1,495 @@
+import {
+  Controller,
+  Post,
+  Get,
+  Body,
+  Req,
+  Res,
+  UseGuards,
+  Logger,
+  Query,
+} from '@nestjs/common';
+import { FastifyRequest, FastifyReply } from 'fastify';
+import { JwtAuthGuard } from '../auth/jwt-auth.guard';
+import { VoiceService } from './voice.service';
+import { VoiceGateway } from './voice.gateway';
+import { AudioConverterService } from './audio-converter.service';
+import { InitiateCallDto } from './dto/initiate-call.dto';
+import { TenantId } from '../tenant/tenant.decorator';
+
+@Controller('voice')
+export class VoiceController {
+  private readonly logger = new Logger(VoiceController.name);
+
+  // Track active Media Streams connections: streamSid -> WebSocket
+  private mediaStreams: Map<string, any> = new Map();
+
+  constructor(
+    private readonly voiceService: VoiceService,
+    private readonly voiceGateway: VoiceGateway,
+    private readonly audioConverter: AudioConverterService,
+  ) {}
+
+  /**
+   * Initiate outbound call via REST
+   */
+  @Post('call')
+  @UseGuards(JwtAuthGuard)
+  async initiateCall(
+    @Body() body: InitiateCallDto,
+    @Req() req: any,
+    @TenantId() tenantId: string,
+  ) {
+    const userId = req.user?.userId || req.user?.sub;
+
+    const result = await this.voiceService.initiateCall({
+      tenantId,
+      userId,
+      toNumber: body.toNumber,
+    });
+
+    return {
+      success: true,
+      data: result,
+    };
+  }
+
+  /**
+   * Generate Twilio access token for browser client
+   */
+  @Get('token')
+  @UseGuards(JwtAuthGuard)
+  async getAccessToken(
+    @Req() req: any,
+    @TenantId() tenantId: string,
+  ) {
+    const userId = req.user?.userId || req.user?.sub;
+    
+    const token = await this.voiceService.generateAccessToken(tenantId, userId);
+
+    return {
+      success: true,
+      data: { token },
+    };
+  }
+
+  /**
+   * Get call history
+   */
+  @Get('calls')
+  @UseGuards(JwtAuthGuard)
+  async getCallHistory(
+    @Req() req: any,
+    @TenantId() tenantId: string,
+    @Query('limit') limit?: string,
+  ) {
+    const userId = req.user?.userId || req.user?.sub;
+    const calls = await this.voiceService.getCallHistory(
+      tenantId,
+      userId,
+      limit ? parseInt(limit) : 50,
+    );
+
+    return {
+      success: true,
+      data: calls,
+    };
+  }
+
+  /**
+   * TwiML for outbound calls from browser (Twilio Device)
+   */
+  @Post('twiml/outbound')
+  async outboundTwiml(@Req() req: FastifyRequest, @Res() res: FastifyReply) {
+    const body = req.body as any;
+    const to = body.To;
+    const from = body.From;
+    const callSid = body.CallSid;
+
+    this.logger.log(`=== TwiML OUTBOUND REQUEST RECEIVED ===`);
+    this.logger.log(`CallSid: ${callSid}, Body From: ${from}, Body To: ${to}`);
+    this.logger.log(`Full body: ${JSON.stringify(body)}`);
+
+    try {
+      // Extract tenant domain from Host header
+      const host = req.headers.host || '';
+      const tenantDomain = host.split('.')[0]; // e.g., "tenant1" from "tenant1.routebox.co"
+      
+      this.logger.log(`Extracted tenant domain: ${tenantDomain}`);
+
+      // Look up tenant's Twilio phone number from config
+      let callerId = to; // Fallback (will cause error if not found)
+      try {
+        // Get Twilio config to find the phone number
+        const { config } = await this.voiceService['getTwilioClient'](tenantDomain);
+        callerId = config.phoneNumber;
+        this.logger.log(`Retrieved Twilio phone number for tenant: ${callerId}`);
+      } catch (error: any) {
+        this.logger.error(`Failed to get Twilio config: ${error.message}`);
+      }
+
+      const dialNumber = to;
+
+      this.logger.log(`Using callerId: ${callerId}, dialNumber: ${dialNumber}`);
+
+      // Return TwiML to DIAL the phone number with proper callerId
+      const twiml = `<?xml version="1.0" encoding="UTF-8"?>
+<Response>
+  <Dial callerId="${callerId}">
+    <Number>${dialNumber}</Number>
+  </Dial>
+</Response>`;
+
+      this.logger.log(`Returning TwiML with Dial verb - callerId: ${callerId}, to: ${dialNumber}`);
+      res.type('text/xml').send(twiml);
+    } catch (error: any) {
+      this.logger.error(`=== ERROR GENERATING TWIML ===`);
+      this.logger.error(`Error: ${error.message}`);
+      this.logger.error(`Stack: ${error.stack}`);
+      const errorTwiml = `<?xml version="1.0" encoding="UTF-8"?>
+<Response>
+  <Say>An error occurred while processing your call.</Say>
+</Response>`;
+      res.type('text/xml').send(errorTwiml);
+    }
+  }
+
+  /**
+   * TwiML for inbound calls
+   */
+  @Post('twiml/inbound')
+  async inboundTwiml(@Req() req: FastifyRequest, @Res() res: FastifyReply) {
+    const body = req.body as any;
+    const callSid = body.CallSid;
+    const fromNumber = body.From;
+    const toNumber = body.To;
+
+    this.logger.log(`\n\n╔════════════════════════════════════════╗`);
+    this.logger.log(`║ === INBOUND CALL RECEIVED ===`);
+    this.logger.log(`╚════════════════════════════════════════╝`);
+    this.logger.log(`CallSid: ${callSid}`);
+    this.logger.log(`From: ${fromNumber}`);
+    this.logger.log(`To: ${toNumber}`);
+    this.logger.log(`Full body: ${JSON.stringify(body)}`);
+
+    try {
+      // Extract tenant domain from Host header
+      const host = req.headers.host || '';
+      const tenantDomain = host.split('.')[0]; // e.g., "tenant1" from "tenant1.routebox.co"
+      
+      this.logger.log(`Extracted tenant domain: ${tenantDomain}`);
+
+      // Get all connected users for this tenant
+      const connectedUsers = this.voiceGateway.getConnectedUsers(tenantDomain);
+      
+      this.logger.log(`Connected users for tenant ${tenantDomain}: ${connectedUsers.length}`);
+      if (connectedUsers.length > 0) {
+        this.logger.log(`Connected user IDs: ${connectedUsers.join(', ')}`);
+      }
+      
+      if (connectedUsers.length === 0) {
+        // No users online - send to voicemail or play message
+        const twiml = `<?xml version="1.0" encoding="UTF-8"?>
+<Response>
+  <Say>Sorry, no agents are currently available. Please try again later.</Say>
+  <Hangup/>
+</Response>`;
+        this.logger.log(`❌ No users online - returning unavailable message`);
+        return res.type('text/xml').send(twiml);
+      }
+
+      // Build TwiML to dial all connected clients with Media Streams for AI
+      const clientElements = connectedUsers.map(userId => `    <Client>${userId}</Client>`).join('\n');
+      
+      // Use wss:// for secure WebSocket (Traefik handles HTTPS)
+      const streamUrl = `wss://${host}/api/voice/media-stream`;
+      
+      this.logger.log(`Stream URL: ${streamUrl}`);
+      this.logger.log(`Dialing ${connectedUsers.length} client(s)...`);
+      this.logger.log(`Client IDs to dial: ${connectedUsers.join(', ')}`);
+      
+      // Verify we have client IDs in proper format
+      if (connectedUsers.length > 0) {
+        this.logger.log(`First Client ID format check: "${connectedUsers[0]}" (length: ${connectedUsers[0].length})`);
+      }
+
+      // Notify connected users about incoming call via Socket.IO
+      connectedUsers.forEach(userId => {
+        this.voiceGateway.notifyIncomingCall(userId, {
+          callSid,
+          fromNumber,
+          toNumber,
+          tenantDomain,
+        });
+      });
+
+      const twiml = `<?xml version="1.0" encoding="UTF-8"?>
+<Response>
+  <Start>
+    <Stream url="${streamUrl}">
+      <Parameter name="tenantId" value="${tenantDomain}"/>
+      <Parameter name="userId" value="${connectedUsers[0]}"/>
+    </Stream>
+  </Start>
+  <Dial timeout="30">
+${clientElements}
+  </Dial>
+</Response>`;
+
+      this.logger.log(`✓ Returning inbound TwiML with Media Streams - dialing ${connectedUsers.length} client(s)`);
+      this.logger.log(`Generated TwiML:\n${twiml}\n`);
+      res.type('text/xml').send(twiml);
+    } catch (error: any) {
+      this.logger.error(`Error generating inbound TwiML: ${error.message}`);
+      const errorTwiml = `<?xml version="1.0" encoding="UTF-8"?>
+<Response>
+  <Say>Sorry, we are unable to connect your call at this time.</Say>
+  <Hangup/>
+</Response>`;
+      res.type('text/xml').send(errorTwiml);
+    }
+  }
+
+  /**
+   * Twilio status webhook
+   */
+  @Post('webhook/status')
+  async statusWebhook(@Req() req: FastifyRequest) {
+    const body = req.body as any;
+    const callSid = body.CallSid;
+    const status = body.CallStatus;
+    const duration = body.CallDuration ? parseInt(body.CallDuration) : undefined;
+
+    this.logger.log(`Call status webhook - CallSid: ${callSid}, Status: ${status}, Duration: ${duration}`);
+    this.logger.log(`Full status webhook body:`, JSON.stringify(body));
+
+    return { success: true };
+  }
+
+  /**
+   * Twilio recording webhook
+   */
+  @Post('webhook/recording')
+  async recordingWebhook(@Req() req: FastifyRequest) {
+    const body = req.body as any;
+    const callSid = body.CallSid;
+    const recordingSid = body.RecordingSid;
+    const recordingStatus = body.RecordingStatus;
+
+    this.logger.log(`Recording webhook - CallSid: ${callSid}, RecordingSid: ${recordingSid}, Status: ${recordingStatus}`);
+
+    return { success: true };
+  }
+
+  /**
+   * Twilio Media Streams WebSocket endpoint
+   * Receives real-time audio from Twilio and forwards to OpenAI Realtime API
+   * 
+   * This handles the HTTP GET request and upgrades it to WebSocket manually.
+   */
+  @Get('media-stream')
+  mediaStream(@Req() req: FastifyRequest) {
+    // For WebSocket upgrade, we need to access the raw socket
+    let socket: any;
+    
+    try {
+      this.logger.log(`=== MEDIA STREAM REQUEST ===`);
+      this.logger.log(`URL: ${req.url}`);
+      this.logger.log(`Headers keys: ${Object.keys(req.headers).join(', ')}`);
+      this.logger.log(`Headers: ${JSON.stringify(req.headers)}`);
+      
+      // Check if this is a WebSocket upgrade request
+      const hasWebSocketKey = 'sec-websocket-key' in req.headers;
+      const hasWebSocketVersion = 'sec-websocket-version' in req.headers;
+      
+      this.logger.log(`hasWebSocketKey: ${hasWebSocketKey}`);
+      this.logger.log(`hasWebSocketVersion: ${hasWebSocketVersion}`);
+      
+      if (!hasWebSocketKey || !hasWebSocketVersion) {
+        this.logger.log('Not a WebSocket upgrade request - returning');
+        return;
+      }
+
+      this.logger.log('✓ WebSocket upgrade detected');
+      
+      // Get the socket - try different ways
+      socket = (req.raw as any).socket;
+      this.logger.log(`Socket obtained: ${!!socket}`);
+      
+      if (!socket) {
+        this.logger.error('Failed to get socket from req.raw');
+        return;
+      }
+      
+      const rawRequest = req.raw;
+      const head = Buffer.alloc(0);
+      
+      this.logger.log('Creating WebSocketServer...');
+      const WebSocketServer = require('ws').Server;
+      const wss = new WebSocketServer({ noServer: true });
+      
+      this.logger.log('Calling handleUpgrade...');
+      
+      // handleUpgrade will send the 101 response and take over the socket
+      wss.handleUpgrade(rawRequest, socket, head, (ws: any) => {
+        this.logger.log('=== TWILIO MEDIA STREAM WEBSOCKET UPGRADED SUCCESSFULLY ===');
+        this.handleMediaStreamSocket(ws);
+      });
+      
+      this.logger.log('handleUpgrade completed');
+    } catch (error: any) {
+      this.logger.error(`=== FAILED TO UPGRADE TO WEBSOCKET ===`);
+      this.logger.error(`Error message: ${error.message}`);
+      this.logger.error(`Error stack: ${error.stack}`);
+    }
+  }
+
+  /**
+   * Handle incoming Media Stream WebSocket messages
+   */
+  private handleMediaStreamSocket(ws: any) {
+    let streamSid: string | null = null;
+    let callSid: string | null = null;
+    let tenantDomain: string | null = null;
+    let mediaPacketCount = 0;
+
+    // WebSocket message handler
+    ws.on('message', async (message: Buffer) => {
+      try {
+        const msg = JSON.parse(message.toString());
+
+        switch (msg.event) {
+          case 'connected':
+            this.logger.log('=== MEDIA STREAM EVENT: CONNECTED ===');
+            this.logger.log(`Protocol: ${msg.protocol}`);
+            this.logger.log(`Version: ${msg.version}`);
+            break;
+
+          case 'start':
+            streamSid = msg.streamSid;
+            callSid = msg.start.callSid;
+
+            // Extract tenant from customParameters if available
+            tenantDomain = msg.start.customParameters?.tenantId || 'tenant1';
+
+            this.logger.log(`=== MEDIA STREAM EVENT: START ===`);
+            this.logger.log(`StreamSid: ${streamSid}`);
+            this.logger.log(`CallSid: ${callSid}`);
+            this.logger.log(`Tenant: ${tenantDomain}`);
+            this.logger.log(`AccountSid: ${msg.start.accountSid}`);
+            this.logger.log(`MediaFormat: ${JSON.stringify(msg.start.mediaFormat)}`);
+            this.logger.log(`Custom Parameters: ${JSON.stringify(msg.start.customParameters)}`);
+
+            // Store WebSocket connection
+            this.mediaStreams.set(streamSid, ws);
+            this.logger.log(`Stored WebSocket for streamSid: ${streamSid}. Total active streams: ${this.mediaStreams.size}`);
+
+            // Initialize OpenAI Realtime connection for this call
+            this.logger.log(`Initializing OpenAI Realtime for call ${callSid}...`);
+            await this.voiceService.initializeOpenAIRealtime({
+              callSid,
+              tenantId: tenantDomain,
+              userId: msg.start.customParameters?.userId || 'system',
+            });
+
+            this.logger.log(`✓ OpenAI Realtime initialized for call ${callSid}`);
+            break;
+
+          case 'media':
+            mediaPacketCount++;
+            if (mediaPacketCount % 50 === 0) {
+              // Log every 50th packet to avoid spam
+              this.logger.log(`Received media packet #${mediaPacketCount} for StreamSid: ${streamSid}, CallSid: ${callSid}, PayloadSize: ${msg.media.payload?.length || 0} bytes`);
+            }
+
+            if (!callSid || !tenantDomain) {
+              this.logger.warn('Received media before start event');
+              break;
+            }
+
+            // msg.media.payload is base64-encoded μ-law audio from Twilio
+            const twilioAudio = msg.media.payload;
+
+            // Convert Twilio audio (μ-law 8kHz) to OpenAI format (PCM16 24kHz)
+            const openaiAudio = this.audioConverter.twilioToOpenAI(twilioAudio);
+
+            // Send audio to OpenAI Realtime API
+            await this.voiceService.sendAudioToOpenAI(callSid, openaiAudio);
+            break;
+
+          case 'stop':
+            this.logger.log(`=== MEDIA STREAM EVENT: STOP ===`);
+            this.logger.log(`StreamSid: ${streamSid}`);
+            this.logger.log(`Total media packets received: ${mediaPacketCount}`);
+
+            if (streamSid) {
+              this.mediaStreams.delete(streamSid);
+              this.logger.log(`Removed WebSocket for streamSid: ${streamSid}. Remaining active streams: ${this.mediaStreams.size}`);
+            }
+
+            // Clean up OpenAI connection
+            if (callSid) {
+              this.logger.log(`Cleaning up OpenAI connection for call ${callSid}...`);
+              await this.voiceService.cleanupOpenAIConnection(callSid);
+              this.logger.log(`✓ OpenAI connection cleaned up for call ${callSid}`);
+            }
+            break;
+
+          default:
+            this.logger.debug(`Unknown media stream event: ${msg.event}`);
+        }
+      } catch (error: any) {
+        this.logger.error(`Error processing media stream message: ${error.message}`);
+        this.logger.error(`Stack: ${error.stack}`);
+      }
+    });
+
+    ws.on('close', () => {
+      this.logger.log(`=== MEDIA STREAM WEBSOCKET CLOSED ===`);
+      this.logger.log(`StreamSid: ${streamSid}`);
+      this.logger.log(`Total media packets in this stream: ${mediaPacketCount}`);
+      if (streamSid) {
+        this.mediaStreams.delete(streamSid);
+        this.logger.log(`Cleaned up streamSid on close. Remaining active streams: ${this.mediaStreams.size}`);
+      }
+    });
+
+    ws.on('error', (error: Error) => {
+      this.logger.error(`=== MEDIA STREAM WEBSOCKET ERROR ===`);
+      this.logger.error(`StreamSid: ${streamSid}`);
+      this.logger.error(`Error message: ${error.message}`);
+      this.logger.error(`Error stack: ${error.stack}`);
+    });
+  }
+
+  /**
+   * Send audio from OpenAI back to Twilio Media Stream
+   */
+  async sendAudioToTwilio(streamSid: string, openaiAudioBase64: string) {
+    const ws = this.mediaStreams.get(streamSid);
+    
+    if (!ws) {
+      this.logger.warn(`No Media Stream found for streamSid: ${streamSid}`);
+      return;
+    }
+
+    try {
+      // Convert OpenAI audio (PCM16 24kHz) to Twilio format (μ-law 8kHz)
+      const twilioAudio = this.audioConverter.openAIToTwilio(openaiAudioBase64);
+      
+      // Send to Twilio Media Stream
+      const message = {
+        event: 'media',
+        streamSid,
+        media: {
+          payload: twilioAudio,
+        },
+      };
+      
+      ws.send(JSON.stringify(message));
+    } catch (error: any) {
+      this.logger.error(`Error sending audio to Twilio: ${error.message}`);
+    }
+  }
+}
+

backend/src/voice/voice.gateway.ts

@@ -0,0 +1,319 @@
+import {
+  WebSocketGateway,
+  WebSocketServer,
+  SubscribeMessage,
+  OnGatewayConnection,
+  OnGatewayDisconnect,
+  ConnectedSocket,
+  MessageBody,
+} from '@nestjs/websockets';
+import { Server, Socket } from 'socket.io';
+import { Logger, UseGuards } from '@nestjs/common';
+import { JwtService } from '@nestjs/jwt';
+import { VoiceService } from './voice.service';
+import { TenantDatabaseService } from '../tenant/tenant-database.service';
+
+interface AuthenticatedSocket extends Socket {
+  tenantId?: string;
+  userId?: string;
+  tenantSlug?: string;
+}
+
+@WebSocketGateway({
+  namespace: 'voice',
+  cors: {
+    origin: true,
+    credentials: true,
+  },
+})
+export class VoiceGateway
+  implements OnGatewayConnection, OnGatewayDisconnect
+{
+  @WebSocketServer()
+  server: Server;
+
+  private readonly logger = new Logger(VoiceGateway.name);
+  private connectedUsers: Map<string, AuthenticatedSocket> = new Map();
+  private activeCallsByUser: Map<string, string> = new Map(); // userId -> callSid
+
+  constructor(
+    private readonly jwtService: JwtService,
+    private readonly voiceService: VoiceService,
+    private readonly tenantDbService: TenantDatabaseService,
+  ) {
+    // Set gateway reference in service to avoid circular dependency
+    this.voiceService.setGateway(this);
+  }
+
+  async handleConnection(client: AuthenticatedSocket) {
+    try {
+      // Extract token from handshake auth
+      const token =
+        client.handshake.auth.token || client.handshake.headers.authorization?.split(' ')[1];
+
+      if (!token) {
+        this.logger.warn('❌ Client connection rejected: No token provided');
+        client.disconnect();
+        return;
+      }
+
+      // Verify JWT token
+      const payload = await this.jwtService.verifyAsync(token);
+      
+      // Extract domain from origin header (e.g., http://tenant1.routebox.co:3001)
+      // The domains table stores just the subdomain part (e.g., "tenant1")
+      const origin = client.handshake.headers.origin || client.handshake.headers.referer;
+      let domain = 'localhost';
+      
+      if (origin) {
+        try {
+          const url = new URL(origin);
+          const hostname = url.hostname; // e.g., tenant1.routebox.co or localhost
+          
+          // Extract first part of subdomain as domain
+          // tenant1.routebox.co -> tenant1
+          // localhost -> localhost
+          domain = hostname.split('.')[0];
+        } catch (error) {
+          this.logger.warn(`Failed to parse origin: ${origin}`);
+        }
+      }
+      
+      client.tenantId = domain; // Store the subdomain as tenantId
+      client.userId = payload.sub;
+      client.tenantSlug = domain; // Same as subdomain
+
+      this.connectedUsers.set(client.userId, client);
+      this.logger.log(
+        `✓ Client connected: ${client.id} (User: ${client.userId}, Domain: ${domain})`,
+      );
+      this.logger.log(`Total connected users in ${domain}: ${this.getConnectedUsers(domain).length}`);
+
+      // Send current call state if any active call
+      const activeCallSid = this.activeCallsByUser.get(client.userId);
+      if (activeCallSid) {
+        const callState = await this.voiceService.getCallState(
+          activeCallSid,
+          client.tenantId,
+        );
+        client.emit('call:state', callState);
+      }
+    } catch (error) {
+      this.logger.error('❌ Authentication failed', error);
+      client.disconnect();
+    }
+  }
+
+  handleDisconnect(client: AuthenticatedSocket) {
+    if (client.userId) {
+      this.connectedUsers.delete(client.userId);
+      this.logger.log(`✓ Client disconnected: ${client.id} (User: ${client.userId})`);
+      this.logger.log(`Remaining connected users: ${this.connectedUsers.size}`);
+    }
+  }
+
+  /**
+   * Initiate outbound call
+   */
+  @SubscribeMessage('call:initiate')
+  async handleInitiateCall(
+    @ConnectedSocket() client: AuthenticatedSocket,
+    @MessageBody() data: { toNumber: string },
+  ) {
+    try {
+      this.logger.log(`Initiating call from user ${client.userId} to ${data.toNumber}`);
+
+      const result = await this.voiceService.initiateCall({
+        tenantId: client.tenantId,
+        userId: client.userId,
+        toNumber: data.toNumber,
+      });
+
+      this.activeCallsByUser.set(client.userId, result.callSid);
+
+      client.emit('call:initiated', {
+        callSid: result.callSid,
+        toNumber: data.toNumber,
+        status: 'queued',
+      });
+
+      return { success: true, callSid: result.callSid };
+    } catch (error) {
+      this.logger.error('Failed to initiate call', error);
+      client.emit('call:error', {
+        message: error.message || 'Failed to initiate call',
+      });
+      return { success: false, error: error.message };
+    }
+  }
+
+  /**
+   * Accept incoming call
+   */
+  @SubscribeMessage('call:accept')
+  async handleAcceptCall(
+    @ConnectedSocket() client: AuthenticatedSocket,
+    @MessageBody() data: { callSid: string },
+  ) {
+    try {
+      this.logger.log(`User ${client.userId} accepting call ${data.callSid}`);
+
+      await this.voiceService.acceptCall({
+        callSid: data.callSid,
+        tenantId: client.tenantId,
+        userId: client.userId,
+      });
+
+      this.activeCallsByUser.set(client.userId, data.callSid);
+
+      client.emit('call:accepted', { callSid: data.callSid });
+
+      return { success: true };
+    } catch (error) {
+      this.logger.error('Failed to accept call', error);
+      return { success: false, error: error.message };
+    }
+  }
+
+  /**
+   * Reject incoming call
+   */
+  @SubscribeMessage('call:reject')
+  async handleRejectCall(
+    @ConnectedSocket() client: AuthenticatedSocket,
+    @MessageBody() data: { callSid: string },
+  ) {
+    try {
+      this.logger.log(`User ${client.userId} rejecting call ${data.callSid}`);
+
+      await this.voiceService.rejectCall(data.callSid, client.tenantId);
+
+      client.emit('call:rejected', { callSid: data.callSid });
+
+      return { success: true };
+    } catch (error) {
+      this.logger.error('Failed to reject call', error);
+      return { success: false, error: error.message };
+    }
+  }
+
+  /**
+   * End active call
+   */
+  @SubscribeMessage('call:end')
+  async handleEndCall(
+    @ConnectedSocket() client: AuthenticatedSocket,
+    @MessageBody() data: { callSid: string },
+  ) {
+    try {
+      this.logger.log(`User ${client.userId} ending call ${data.callSid}`);
+
+      await this.voiceService.endCall(data.callSid, client.tenantId);
+
+      this.activeCallsByUser.delete(client.userId);
+
+      client.emit('call:ended', { callSid: data.callSid });
+
+      return { success: true };
+    } catch (error) {
+      this.logger.error('Failed to end call', error);
+      return { success: false, error: error.message };
+    }
+  }
+
+  /**
+   * Send DTMF tones
+   */
+  @SubscribeMessage('call:dtmf')
+  async handleDtmf(
+    @ConnectedSocket() client: AuthenticatedSocket,
+    @MessageBody() data: { callSid: string; digit: string },
+  ) {
+    try {
+      await this.voiceService.sendDtmf(
+        data.callSid,
+        data.digit,
+        client.tenantId,
+      );
+
+      return { success: true };
+    } catch (error) {
+      this.logger.error('Failed to send DTMF', error);
+      return { success: false, error: error.message };
+    }
+  }
+
+  /**
+   * Emit incoming call notification to specific user
+   */
+  async notifyIncomingCall(userId: string, callData: any) {
+    const socket = this.connectedUsers.get(userId);
+    if (socket) {
+      socket.emit('call:incoming', callData);
+      this.logger.log(`Notified user ${userId} of incoming call`);
+    } else {
+      this.logger.warn(`User ${userId} not connected to receive call notification`);
+    }
+  }
+
+  /**
+   * Emit call status update to user
+   */
+  async notifyCallUpdate(userId: string, callData: any) {
+    const socket = this.connectedUsers.get(userId);
+    if (socket) {
+      socket.emit('call:update', callData);
+    }
+  }
+
+  /**
+   * Emit AI transcript to user
+   */
+  async notifyAiTranscript(userId: string, data: { callSid: string; transcript: string; isFinal: boolean }) {
+    const socket = this.connectedUsers.get(userId);
+    if (socket) {
+      socket.emit('ai:transcript', data);
+    }
+  }
+
+  /**
+   * Emit AI suggestion to user
+   */
+  async notifyAiSuggestion(userId: string, data: any) {
+    const socket = this.connectedUsers.get(userId);
+    this.logger.log(`notifyAiSuggestion - userId: ${userId}, socket connected: ${!!socket}, total connected users: ${this.connectedUsers.size}`);
+    if (socket) {
+      this.logger.log(`Emitting ai:suggestion event with data:`, JSON.stringify(data));
+      socket.emit('ai:suggestion', data);
+    } else {
+      this.logger.warn(`No socket connection found for userId: ${userId}`);
+      this.logger.log(`Connected users: ${Array.from(this.connectedUsers.keys()).join(', ')}`);
+    }
+  }
+
+  /**
+   * Emit AI action result to user
+   */
+  async notifyAiAction(userId: string, data: any) {
+    const socket = this.connectedUsers.get(userId);
+    if (socket) {
+      socket.emit('ai:action', data);
+    }
+  }
+
+  /**
+   * Get connected users for a tenant
+   */
+  getConnectedUsers(tenantDomain?: string): string[] {
+    const userIds: string[] = [];
+    
+    for (const [userId, socket] of this.connectedUsers.entries()) {
+      // If tenantDomain specified, filter by tenant
+      if (!tenantDomain || socket.tenantSlug === tenantDomain) {
+        userIds.push(userId);
+      }
+    }
+    
+    return userIds;
+  }
+}

backend/src/voice/voice.module.ts

@@ -0,0 +1,23 @@
+import { Module } from '@nestjs/common';
+import { JwtModule } from '@nestjs/jwt';
+import { VoiceGateway } from './voice.gateway';
+import { VoiceService } from './voice.service';
+import { VoiceController } from './voice.controller';
+import { AudioConverterService } from './audio-converter.service';
+import { TenantModule } from '../tenant/tenant.module';
+import { AuthModule } from '../auth/auth.module';
+
+@Module({
+  imports: [
+    TenantModule,
+    AuthModule,
+    JwtModule.register({
+      secret: process.env.JWT_SECRET || 'your-jwt-secret',
+      signOptions: { expiresIn: process.env.JWT_EXPIRES_IN || '24h' },
+    }),
+  ],
+  providers: [VoiceGateway, VoiceService, AudioConverterService],
+  controllers: [VoiceController],
+  exports: [VoiceService],
+})
+export class VoiceModule {}

backend/src/voice/voice.service.ts

@@ -0,0 +1,826 @@
+import { Injectable, Logger } from '@nestjs/common';
+import { TenantDatabaseService } from '../tenant/tenant-database.service';
+import { getCentralPrisma } from '../prisma/central-prisma.service';
+import { IntegrationsConfig, TwilioConfig, OpenAIConfig } from './interfaces/integration-config.interface';
+import * as Twilio from 'twilio';
+import { WebSocket } from 'ws';
+import { v4 as uuidv4 } from 'uuid';
+
+const AccessToken = Twilio.jwt.AccessToken;
+const VoiceGrant = AccessToken.VoiceGrant;
+
+@Injectable()
+export class VoiceService {
+  private readonly logger = new Logger(VoiceService.name);
+  private twilioClients: Map<string, Twilio.Twilio> = new Map();
+  private openaiConnections: Map<string, WebSocket> = new Map(); // callSid -> WebSocket
+  private callStates: Map<string, any> = new Map(); // callSid -> call state
+  private voiceGateway: any; // Reference to gateway (to avoid circular dependency)
+
+  constructor(
+    private readonly tenantDbService: TenantDatabaseService,
+  ) {}
+
+  /**
+   * Set gateway reference (called by gateway on init)
+   */
+  setGateway(gateway: any) {
+    this.voiceGateway = gateway;
+  }
+
+  /**
+   * Get Twilio client for a tenant
+   */
+  private async getTwilioClient(tenantIdOrDomain: string): Promise<{ client: Twilio.Twilio; config: TwilioConfig; tenantId: string }> {
+    // Check cache first
+    if (this.twilioClients.has(tenantIdOrDomain)) {
+      const centralPrisma = getCentralPrisma();
+      
+      // Look up tenant by domain
+      const domainRecord = await centralPrisma.domain.findUnique({
+        where: { domain: tenantIdOrDomain },
+        include: { tenant: { select: { id: true, integrationsConfig: true } } },
+      });
+
+      const config = this.getIntegrationConfig(domainRecord?.tenant?.integrationsConfig as any);
+      return { 
+        client: this.twilioClients.get(tenantIdOrDomain), 
+        config: config.twilio,
+        tenantId: domainRecord.tenant.id 
+      };
+    }
+
+    // Fetch tenant integrations config
+    const centralPrisma = getCentralPrisma();
+    
+    this.logger.log(`Looking up domain: ${tenantIdOrDomain}`);
+    
+    const domainRecord = await centralPrisma.domain.findUnique({
+      where: { domain: tenantIdOrDomain },
+      include: { tenant: { select: { id: true, integrationsConfig: true } } },
+    });
+
+    this.logger.log(`Domain record found: ${!!domainRecord}, Tenant: ${!!domainRecord?.tenant}, Config: ${!!domainRecord?.tenant?.integrationsConfig}`);
+
+    if (!domainRecord?.tenant) {
+      throw new Error(`Domain ${tenantIdOrDomain} not found`);
+    }
+
+    if (!domainRecord.tenant.integrationsConfig) {
+      throw new Error('Tenant integrations config not found. Please configure Twilio credentials in Settings > Integrations');
+    }
+
+    const config = this.getIntegrationConfig(domainRecord.tenant.integrationsConfig as any);
+
+    this.logger.log(`Config decrypted: ${!!config.twilio}, AccountSid: ${config.twilio?.accountSid?.substring(0, 10)}..., AuthToken: ${config.twilio?.authToken?.substring(0, 10)}..., Phone: ${config.twilio?.phoneNumber}`);
+
+    if (!config.twilio?.accountSid || !config.twilio?.authToken) {
+      throw new Error('Twilio credentials not configured for tenant');
+    }
+
+    const client = Twilio.default(config.twilio.accountSid, config.twilio.authToken);
+    this.twilioClients.set(tenantIdOrDomain, client);
+
+    return { client, config: config.twilio, tenantId: domainRecord.tenant.id };
+  }
+
+  /**
+   * Decrypt and parse integrations config
+   */
+  private getIntegrationConfig(encryptedConfig: any): IntegrationsConfig {
+    if (!encryptedConfig) {
+      return {};
+    }
+
+    // If it's already decrypted (object), return it
+    if (typeof encryptedConfig === 'object' && encryptedConfig.twilio) {
+      return encryptedConfig;
+    }
+
+    // If it's encrypted (string), decrypt it
+    if (typeof encryptedConfig === 'string') {
+      return this.tenantDbService.decryptIntegrationsConfig(encryptedConfig);
+    }
+
+    return {};
+  }
+
+  /**
+   * Generate Twilio access token for browser Voice SDK
+   */
+  async generateAccessToken(tenantDomain: string, userId: string): Promise<string> {
+    const { config, tenantId } = await this.getTwilioClient(tenantDomain);
+
+    if (!config.accountSid || !config.apiKey || !config.apiSecret) {
+      throw new Error('Twilio API credentials not configured. Please add API Key and Secret in Settings > Integrations');
+    }
+
+    // Create an access token
+    const token = new AccessToken(
+      config.accountSid,
+      config.apiKey,
+      config.apiSecret,
+      { identity: userId, ttl: 3600 } // 1 hour expiry
+    );
+
+    // Create a Voice grant
+    const voiceGrant = new VoiceGrant({
+      outgoingApplicationSid: config.twimlAppSid, // TwiML App SID for outbound calls
+      incomingAllow: true, // Allow incoming calls
+    });
+
+    token.addGrant(voiceGrant);
+
+    return token.toJwt();
+  }
+
+  /**
+   * Initiate outbound call
+   */
+  async initiateCall(params: {
+    tenantId: string;
+    userId: string;
+    toNumber: string;
+  }) {
+    const { tenantId: tenantDomain, userId, toNumber } = params;
+
+    try {
+      this.logger.log(`=== INITIATING CALL ===`);
+      this.logger.log(`Domain: ${tenantDomain}, To: ${toNumber}, User: ${userId}`);
+
+      // Validate phone number
+      if (!toNumber.match(/^\+?[1-9]\d{1,14}$/)) {
+        throw new Error(`Invalid phone number format: ${toNumber}. Use E.164 format (e.g., +1234567890)`);
+      }
+
+      const { client, config, tenantId } = await this.getTwilioClient(tenantDomain);
+      this.logger.log(`Twilio client obtained for tenant: ${tenantId}`);
+
+      // Get from number
+      const fromNumber = config.phoneNumber;
+      if (!fromNumber) {
+        throw new Error('Twilio phone number not configured');
+      }
+      this.logger.log(`From number: ${fromNumber}`);
+
+      // Construct tenant-specific webhook URLs using HTTPS (for Traefik)
+      const backendUrl = `https://${tenantDomain}`;
+      const twimlUrl = `${backendUrl}/api/voice/twiml/outbound?phoneNumber=${encodeURIComponent(fromNumber)}&toNumber=${encodeURIComponent(toNumber)}`;
+      const statusUrl = `${backendUrl}/api/voice/webhook/status`;
+      
+      this.logger.log(`TwiML URL: ${twimlUrl}`);
+      this.logger.log(`Status URL: ${statusUrl}`);
+
+      // Create call record in database
+      const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+      const callId = uuidv4();
+
+      // Initiate call via Twilio
+      this.logger.log(`Calling Twilio API...`);
+      
+      // For Device-to-Number calls, we need to use a TwiML App SID
+      // The Twilio SDK will handle the Device connection, and we return TwiML with Dial
+      const call = await client.calls.create({
+        to: toNumber,
+        from: fromNumber,  // Your Twilio phone number
+        url: twimlUrl,
+        statusCallback: statusUrl,
+        statusCallbackEvent: ['initiated', 'ringing', 'answered', 'completed'],
+        statusCallbackMethod: 'POST',
+        record: false,
+        machineDetection: 'Enable',  // Optional: detect answering machines
+      });
+
+      this.logger.log(`Call created successfully: ${call.sid}, Status: ${call.status}`);
+
+      // Store call in database
+      await tenantKnex('calls').insert({
+        id: callId,
+        call_sid: call.sid,
+        direction: 'outbound',
+        from_number: fromNumber,
+        to_number: toNumber,
+        status: 'queued',
+        user_id: userId,
+        created_at: tenantKnex.fn.now(),
+        updated_at: tenantKnex.fn.now(),
+      });
+
+      // Store call state in memory
+      this.callStates.set(call.sid, {
+        callId,
+        callSid: call.sid,
+        tenantId,
+        userId,
+        direction: 'outbound',
+        status: 'queued',
+      });
+
+      this.logger.log(`Outbound call initiated: ${call.sid}`);
+
+      return {
+        callId,
+        callSid: call.sid,
+        status: 'queued',
+      };
+    } catch (error) {
+      this.logger.error('Failed to initiate call', error);
+      throw error;
+    }
+  }
+
+  /**
+   * Accept incoming call
+   */
+  async acceptCall(params: {
+    callSid: string;
+    tenantId: string;
+    userId: string;
+  }) {
+    const { callSid, tenantId, userId } = params;
+
+    try {
+      // Note: Twilio doesn't support updating call to 'in-progress' via API
+      // Call status is managed by TwiML and call flow
+      // We'll update our database status instead
+
+      // Update database
+      const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+      await tenantKnex('calls')
+        .where({ call_sid: callSid })
+        .update({
+          status: 'in-progress',
+          user_id: userId,
+          started_at: tenantKnex.fn.now(),
+          updated_at: tenantKnex.fn.now(),
+        });
+
+      // Update state
+      const state = this.callStates.get(callSid) || {};
+      this.callStates.set(callSid, {
+        ...state,
+        status: 'in-progress',
+        userId,
+      });
+
+      this.logger.log(`Call accepted: ${callSid} by user ${userId}`);
+    } catch (error) {
+      this.logger.error('Failed to accept call', error);
+      throw error;
+    }
+  }
+
+  /**
+   * Reject incoming call
+   */
+  async rejectCall(callSid: string, tenantId: string) {
+    try {
+      const { client } = await this.getTwilioClient(tenantId);
+
+      // End the call
+      await client.calls(callSid).update({
+        status: 'completed',
+      });
+
+      // Update database
+      const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+      await tenantKnex('calls')
+        .where({ call_sid: callSid })
+        .update({
+          status: 'canceled',
+          updated_at: tenantKnex.fn.now(),
+        });
+
+      // Clean up state
+      this.callStates.delete(callSid);
+
+      this.logger.log(`Call rejected: ${callSid}`);
+    } catch (error) {
+      this.logger.error('Failed to reject call', error);
+      throw error;
+    }
+  }
+
+  /**
+   * End active call
+   */
+  async endCall(callSid: string, tenantId: string) {
+    try {
+      const { client } = await this.getTwilioClient(tenantId);
+
+      // End the call
+      await client.calls(callSid).update({
+        status: 'completed',
+      });
+
+      // Clean up OpenAI connection if exists
+      const openaiWs = this.openaiConnections.get(callSid);
+      if (openaiWs) {
+        openaiWs.close();
+        this.openaiConnections.delete(callSid);
+      }
+
+      // Update database
+      const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+      await tenantKnex('calls')
+        .where({ call_sid: callSid })
+        .update({
+          status: 'completed',
+          ended_at: tenantKnex.fn.now(),
+          updated_at: tenantKnex.fn.now(),
+        });
+
+      // Clean up state
+      this.callStates.delete(callSid);
+
+      this.logger.log(`Call ended: ${callSid}`);
+    } catch (error) {
+      this.logger.error('Failed to end call', error);
+      throw error;
+    }
+  }
+
+  /**
+   * Send DTMF tones
+   */
+  async sendDtmf(callSid: string, digit: string, tenantId: string) {
+    try {
+      const { client } = await this.getTwilioClient(tenantId);
+
+      // Twilio doesn't support sending DTMF directly via API
+      // This would need to be handled via TwiML <Play> of DTMF tones
+      this.logger.log(`DTMF requested for call ${callSid}: ${digit}`);
+
+      // TODO: Implement DTMF sending via TwiML update
+    } catch (error) {
+      this.logger.error('Failed to send DTMF', error);
+      throw error;
+    }
+  }
+
+  /**
+   * Get call state
+   */
+  async getCallState(callSid: string, tenantId: string) {
+    // Try memory first
+    if (this.callStates.has(callSid)) {
+      return this.callStates.get(callSid);
+    }
+
+    // Fallback to database
+    const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+    const call = await tenantKnex('calls')
+      .where({ call_sid: callSid })
+      .first();
+
+    return call || null;
+  }
+
+  /**
+   * Update call status from webhook
+   */
+  async updateCallStatus(params: {
+    callSid: string;
+    tenantId: string;
+    status: string;
+    duration?: number;
+    recordingUrl?: string;
+  }) {
+    const { callSid, tenantId, status, duration, recordingUrl } = params;
+
+    try {
+      const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+
+      const updateData: any = {
+        status,
+        updated_at: tenantKnex.fn.now(),
+      };
+
+      if (duration !== undefined) {
+        updateData.duration_seconds = duration;
+      }
+
+      if (recordingUrl) {
+        updateData.recording_url = recordingUrl;
+      }
+
+      if (status === 'completed') {
+        updateData.ended_at = tenantKnex.fn.now();
+      }
+
+      await tenantKnex('calls')
+        .where({ call_sid: callSid })
+        .update(updateData);
+
+      // Update state
+      const state = this.callStates.get(callSid);
+      if (state) {
+        this.callStates.set(callSid, { ...state, status });
+      }
+
+      this.logger.log(`Call status updated: ${callSid} -> ${status}`);
+    } catch (error) {
+      this.logger.error('Failed to update call status', error);
+      throw error;
+    }
+  }
+
+  /**
+   * Initialize OpenAI Realtime connection for call
+   */
+  async initializeOpenAIRealtime(params: {
+    callSid: string;
+    tenantId: string;
+    userId: string;
+  }) {
+    const { callSid, tenantId, userId } = params;
+
+    try {
+      // Get OpenAI config - tenantId might be a domain, so look it up
+      const centralPrisma = getCentralPrisma();
+      
+      // Try to find tenant by domain first (if tenantId is like "tenant1")
+      let tenant;
+      if (!tenantId.match(/^[0-9a-f]{8}-[0-9a-f]{4}-/i)) {
+        // Looks like a domain, not a UUID
+        const domainRecord = await centralPrisma.domain.findUnique({
+          where: { domain: tenantId },
+          include: { tenant: { select: { id: true, integrationsConfig: true } } },
+        });
+        tenant = domainRecord?.tenant;
+      } else {
+        // It's a UUID
+        tenant = await centralPrisma.tenant.findUnique({
+          where: { id: tenantId },
+          select: { id: true, integrationsConfig: true },
+        });
+      }
+
+      if (!tenant) {
+        this.logger.warn(`Tenant not found for identifier: ${tenantId}`);
+        return;
+      }
+
+      const config = this.getIntegrationConfig(tenant?.integrationsConfig as any);
+
+      if (!config.openai?.apiKey) {
+        this.logger.warn('OpenAI not configured for tenant, skipping AI features');
+        return;
+      }
+
+      // Connect to OpenAI Realtime API
+      const model = config.openai.model || 'gpt-4o-realtime-preview-2024-10-01';
+      const ws = new WebSocket(`wss://api.openai.com/v1/realtime?model=${model}`, {
+        headers: {
+          'Authorization': `Bearer ${config.openai.apiKey}`,
+          'OpenAI-Beta': 'realtime=v1',
+        },
+      });
+
+      ws.on('open', () => {
+        this.logger.log(`OpenAI Realtime connected for call ${callSid}`);
+
+        // Add to connections map only after it's open
+        this.openaiConnections.set(callSid, ws);
+
+        // Store call state with userId for later use
+        this.callStates.set(callSid, {
+          callSid,
+          tenantId: tenant.id,
+          userId,
+          status: 'in-progress',
+        });
+        this.logger.log(`📝 Stored call state for ${callSid} with userId: ${userId}`);
+
+        // Initialize session
+        ws.send(JSON.stringify({
+          type: 'session.update',
+          session: {
+            model: config.openai.model || 'gpt-4o-realtime-preview',
+            voice: config.openai.voice || 'alloy',
+            instructions: `You are an AI assistant in LISTENING MODE, helping a sales/support agent during their phone call.
+
+IMPORTANT: You are NOT talking to the caller. You are advising the agent who is handling the call.
+
+Your role:
+- Listen to the conversation between the agent and the caller
+- Provide concise, actionable suggestions to help the agent
+- Recommend CRM actions (search contacts, create tasks, update records)
+- Alert the agent to important information or next steps
+- Keep suggestions brief (1-2 sentences max)
+
+Format your suggestions like:
+"💡 Suggestion: [your advice]"
+"⚠️ Alert: [important notice]"
+"📋 Action: [recommended CRM action]"`,
+            turn_detection: {
+              type: 'server_vad',
+            },
+            tools: this.getOpenAITools(),
+          },
+        }));
+      });
+
+      ws.on('message', (data: Buffer) => {
+        // Pass the tenant UUID (tenant.id) instead of the domain string
+        this.handleOpenAIMessage(callSid, tenant.id, userId, JSON.parse(data.toString()));
+      });
+
+      ws.on('error', (error) => {
+        this.logger.error(`OpenAI WebSocket error for call ${callSid}:`, error);
+        this.openaiConnections.delete(callSid);
+      });
+
+      ws.on('close', (code, reason) => {
+        this.logger.log(`OpenAI Realtime disconnected for call ${callSid} - Code: ${code}, Reason: ${reason.toString()}`);
+        this.openaiConnections.delete(callSid);
+      });
+
+      // Don't add to connections here - wait for 'open' event
+    } catch (error) {
+      this.logger.error('Failed to initialize OpenAI Realtime', error);
+    }
+  }
+
+  /**
+   * Send audio data to OpenAI Realtime API
+   */
+  async sendAudioToOpenAI(callSid: string, audioBase64: string) {
+    const ws = this.openaiConnections.get(callSid);
+    
+    if (!ws) {
+      this.logger.warn(`No OpenAI connection for call ${callSid}`);
+      return;
+    }
+
+    try {
+      // Send audio chunk to OpenAI
+      ws.send(JSON.stringify({
+        type: 'input_audio_buffer.append',
+        audio: audioBase64,
+      }));
+    } catch (error) {
+      this.logger.error(`Failed to send audio to OpenAI for call ${callSid}`, error);
+    }
+  }
+
+  /**
+   * Commit audio buffer to OpenAI (trigger processing)
+   */
+  async commitAudioBuffer(callSid: string) {
+    const ws = this.openaiConnections.get(callSid);
+    
+    if (!ws) {
+      return;
+    }
+
+    try {
+      ws.send(JSON.stringify({
+        type: 'input_audio_buffer.commit',
+      }));
+    } catch (error) {
+      this.logger.error(`Failed to commit audio buffer for call ${callSid}`, error);
+    }
+  }
+
+  /**
+   * Clean up OpenAI connection for a call
+   */
+  async cleanupOpenAIConnection(callSid: string) {
+    const ws = this.openaiConnections.get(callSid);
+    
+    if (ws) {
+      try {
+        ws.close();
+        this.openaiConnections.delete(callSid);
+        this.logger.log(`Cleaned up OpenAI connection for call ${callSid}`);
+      } catch (error) {
+        this.logger.error(`Error cleaning up OpenAI connection for call ${callSid}`, error);
+      }
+    }
+  }
+
+  /**
+   * Handle OpenAI Realtime messages
+   */
+  private async handleOpenAIMessage(
+    callSid: string,
+    tenantId: string,
+    userId: string,
+    message: any,
+  ) {
+    try {
+      switch (message.type) {
+        case 'conversation.item.created':
+          // Skip logging for now
+          break;
+
+        case 'response.audio.delta':
+          // OpenAI is sending audio response (skip logging)
+          const state = this.callStates.get(callSid);
+          if (state?.streamSid && message.delta) {
+            if (!state.pendingAudio) {
+              state.pendingAudio = [];
+            }
+            state.pendingAudio.push(message.delta);
+          }
+          break;
+
+        case 'response.audio.done':
+          // Skip logging
+          break;
+
+        case 'response.audio_transcript.delta':
+          // Skip - not transmitting individual words to frontend
+          break;
+
+        case 'response.audio_transcript.done':
+          // Final transcript - this contains the AI's actual text suggestions!
+          const transcript = message.transcript;
+          this.logger.log(`💡 AI Suggestion: "${transcript}"`);
+          
+          // Save to database
+          await this.updateCallTranscript(callSid, tenantId, transcript);
+          
+          // Also send as suggestion to frontend if it looks like a suggestion
+          if (transcript && transcript.length > 0) {
+            // Determine suggestion type
+            let suggestionType: 'response' | 'action' | 'insight' = 'insight';
+            if (transcript.includes('💡') || transcript.toLowerCase().includes('suggest')) {
+              suggestionType = 'response';
+            } else if (transcript.includes('📋') || transcript.toLowerCase().includes('action')) {
+              suggestionType = 'action';
+            } else if (transcript.includes('⚠️') || transcript.toLowerCase().includes('alert')) {
+              suggestionType = 'insight';
+            }
+            
+            // Emit to frontend
+            const state = this.callStates.get(callSid);
+            this.logger.log(`📊 Call state - userId: ${state?.userId}, gateway: ${!!this.voiceGateway}`);
+            
+            if (state?.userId && this.voiceGateway) {
+              this.logger.log(`📤 Sending to user ${state.userId}`);
+              await this.voiceGateway.notifyAiSuggestion(state.userId, {
+                type: suggestionType,
+                text: transcript,
+                callSid,
+                timestamp: new Date().toISOString(),
+              });
+              this.logger.log(`✅ Suggestion sent to agent`);
+            } else {
+              this.logger.warn(`❌ Cannot send - userId: ${state?.userId}, gateway: ${!!this.voiceGateway}, callStates has ${this.callStates.size} entries`);
+            }
+          }
+          break;
+
+        case 'response.function_call_arguments.done':
+          // Tool call completed
+          await this.handleToolCall(callSid, tenantId, userId, message);
+          break;
+
+        case 'session.created':
+        case 'session.updated':
+        case 'response.created':
+        case 'response.output_item.added':
+        case 'response.content_part.added':
+        case 'response.content_part.done':
+        case 'response.output_item.done':
+        case 'response.done':
+        case 'input_audio_buffer.speech_started':
+        case 'input_audio_buffer.speech_stopped':
+        case 'input_audio_buffer.committed':
+          // Skip logging for these (too noisy)
+          break;
+
+        case 'error':
+          this.logger.error(`OpenAI error for call ${callSid}: ${JSON.stringify(message.error)}`);
+          break;
+
+        default:
+          // Only log unhandled types occasionally
+          break;
+      }
+    } catch (error) {
+      this.logger.error('Failed to handle OpenAI message', error);
+    }
+  }
+
+  /**
+   * Define OpenAI tools for CRM actions
+   */
+  private getOpenAITools(): any[] {
+    return [
+      {
+        type: 'function',
+        name: 'search_contact',
+        description: 'Search for a contact by name, email, or phone number',
+        parameters: {
+          type: 'object',
+          properties: {
+            query: {
+              type: 'string',
+              description: 'Search query (name, email, or phone)',
+            },
+          },
+          required: ['query'],
+        },
+      },
+      {
+        type: 'function',
+        name: 'create_task',
+        description: 'Create a follow-up task based on the call',
+        parameters: {
+          type: 'object',
+          properties: {
+            title: {
+              type: 'string',
+              description: 'Task title',
+            },
+            description: {
+              type: 'string',
+              description: 'Task description',
+            },
+            dueDate: {
+              type: 'string',
+              description: 'Due date (ISO format)',
+            },
+          },
+          required: ['title'],
+        },
+      },
+      {
+        type: 'function',
+        name: 'update_contact',
+        description: 'Update contact information',
+        parameters: {
+          type: 'object',
+          properties: {
+            contactId: {
+              type: 'string',
+              description: 'Contact ID',
+            },
+            fields: {
+              type: 'object',
+              description: 'Fields to update',
+            },
+          },
+          required: ['contactId', 'fields'],
+        },
+      },
+    ];
+  }
+
+  /**
+   * Handle tool calls from OpenAI
+   */
+  private async handleToolCall(
+    callSid: string,
+    tenantId: string,
+    userId: string,
+    message: any,
+  ) {
+    // TODO: Implement actual tool execution
+    // This would call the appropriate services based on the tool name
+    // Respecting RBAC permissions for the user
+    this.logger.log(`Tool call for call ${callSid}: ${message.name}`);
+  }
+
+  /**
+   * Update call transcript
+   */
+  private async updateCallTranscript(
+    callSid: string,
+    tenantId: string,
+    transcript: string,
+  ) {
+    try {
+      const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+      await tenantKnex('calls')
+        .where({ call_sid: callSid })
+        .update({
+          ai_transcript: transcript,
+          updated_at: tenantKnex.fn.now(),
+        });
+    } catch (error) {
+      this.logger.error('Failed to update transcript', error);
+    }
+  }
+
+  /**
+   * Get call history for user
+   */
+  async getCallHistory(tenantId: string, userId: string, limit = 50) {
+    try {
+      const tenantKnex = await this.tenantDbService.getTenantKnexById(tenantId);
+      const calls = await tenantKnex('calls')
+        .where({ user_id: userId })
+        .orderBy('created_at', 'desc')
+        .limit(limit);
+
+      return calls;
+    } catch (error) {
+      this.logger.error('Failed to get call history', error);
+      throw error;
+    }
+  }
+}

docs/SOFTPHONE_CHECKLIST.md

@@ -0,0 +1,219 @@
+# Softphone Configuration Checklist
+
+## Pre-Deployment Checklist
+
+### Backend Configuration
+
+- [ ] **Environment Variables Set**
+  - [ ] `BACKEND_URL` - Public URL of backend (e.g., `https://api.yourdomain.com`)
+  - [ ] `ENCRYPTION_KEY` - 32-byte hex key for encrypting credentials
+  - [ ] Database connection URLs configured
+
+- [ ] **Dependencies Installed**
+  ```bash
+  cd backend
+  npm install
+  ```
+
+- [ ] **Migrations Run**
+  ```bash
+  # Generate Prisma client
+  npx prisma generate --schema=./prisma/schema-central.prisma
+  
+  # Run tenant migrations (creates calls table)
+  npm run migrate:all-tenants
+  ```
+
+- [ ] **Build Succeeds**
+  ```bash
+  npm run build
+  ```
+
+### Frontend Configuration
+
+- [ ] **Environment Variables Set**
+  - [ ] `VITE_BACKEND_URL` - Backend URL (e.g., `https://api.yourdomain.com`)
+
+- [ ] **Dependencies Installed**
+  ```bash
+  cd frontend
+  npm install
+  ```
+
+- [ ] **Build Succeeds**
+  ```bash
+  npm run build
+  ```
+
+### Twilio Setup
+
+- [ ] **Account Created**
+  - [ ] Sign up at https://www.twilio.com
+  - [ ] Verify account (phone/email)
+
+- [ ] **Credentials Retrieved**
+  - [ ] Account SID (starts with `AC...`)
+  - [ ] Auth Token (from Twilio Console)
+
+- [ ] **Phone Number Purchased**
+  - [ ] Buy a phone number in Twilio Console
+  - [ ] Note the phone number in E.164 format (e.g., `+1234567890`)
+
+- [ ] **Webhooks Configured**
+  - [ ] Go to Phone Numbers → Active Numbers → [Your Number]
+  - [ ] Voice Configuration:
+    - [ ] A CALL COMES IN: Webhook
+    - [ ] URL: `https://your-backend-url.com/api/voice/twiml/inbound`
+    - [ ] HTTP: POST
+  - [ ] Status Callback:
+    - [ ] URL: `https://your-backend-url.com/api/voice/webhook/status`
+    - [ ] HTTP: POST
+
+- [ ] **Media Streams (Optional)**
+  - [ ] Enable Media Streams in Twilio Console
+  - [ ] Note: Full implementation pending
+
+### OpenAI Setup (Optional)
+
+- [ ] **API Key Obtained**
+  - [ ] Sign up at https://platform.openai.com
+  - [ ] Create API key in API Keys section
+  - [ ] Copy key (starts with `sk-...`)
+
+- [ ] **Realtime API Access**
+  - [ ] Ensure account has access to Realtime API (beta feature)
+  - [ ] Contact OpenAI support if needed
+
+- [ ] **Model & Voice Selected**
+  - [ ] Model: `gpt-4o-realtime-preview` (default)
+  - [ ] Voice: `alloy`, `echo`, `fable`, `onyx`, `nova`, or `shimmer`
+
+### Tenant Configuration
+
+- [ ] **Log into Tenant**
+  - [ ] Use tenant subdomain (e.g., `acme.yourdomain.com`)
+  - [ ] Login with tenant user account
+
+- [ ] **Navigate to Integrations**
+  - [ ] Go to Settings → Integrations (create page if doesn't exist)
+
+- [ ] **Configure Twilio**
+  - [ ] Enter Account SID
+  - [ ] Enter Auth Token
+  - [ ] Enter Phone Number (with country code)
+  - [ ] Click Save Configuration
+
+- [ ] **Configure OpenAI (Optional)**
+  - [ ] Enter API Key
+  - [ ] Set Model (or use default)
+  - [ ] Set Voice (or use default)
+  - [ ] Click Save Configuration
+
+### Testing
+
+- [ ] **WebSocket Connection**
+  - [ ] Open browser DevTools → Network → WS
+  - [ ] Click "Softphone" button in sidebar
+  - [ ] Verify WebSocket connection to `/voice` namespace
+  - [ ] Check for "Connected" status in softphone dialog
+
+- [ ] **Outbound Call**
+  - [ ] Enter a test phone number
+  - [ ] Click "Call"
+  - [ ] Verify call initiates
+  - [ ] Check call appears in Twilio Console → Logs
+  - [ ] Verify call status updates in UI
+
+- [ ] **Inbound Call**
+  - [ ] Call your Twilio number from external phone
+  - [ ] Verify incoming call notification appears
+  - [ ] Verify ringtone plays
+  - [ ] Click "Accept"
+  - [ ] Verify call connects
+
+- [ ] **AI Features (if OpenAI configured)**
+  - [ ] Make a call
+  - [ ] Speak during call
+  - [ ] Verify transcript appears in real-time
+  - [ ] Check for AI suggestions
+  - [ ] Test AI tool calls (if configured)
+
+- [ ] **Call History**
+  - [ ] Make/receive multiple calls
+  - [ ] Open softphone dialog
+  - [ ] Verify recent calls appear
+  - [ ] Click recent call to redial
+
+### Production Readiness
+
+- [ ] **Security**
+  - [ ] HTTPS enabled on backend
+  - [ ] WSS (WebSocket Secure) working
+  - [ ] CORS configured correctly
+  - [ ] Environment variables secured
+
+- [ ] **Monitoring**
+  - [ ] Backend logs accessible
+  - [ ] Error tracking setup (e.g., Sentry)
+  - [ ] Twilio logs monitored
+
+- [ ] **Scalability**
+  - [ ] Redis configured for BullMQ (future)
+  - [ ] Database connection pooling configured
+  - [ ] Load balancer if needed
+
+- [ ] **Documentation**
+  - [ ] User guide shared with team
+  - [ ] Twilio credentials documented securely
+  - [ ] Support process defined
+
+## Verification Commands
+
+```bash
+# Check backend build
+cd backend && npm run build
+
+# Check frontend build  
+cd frontend && npm run build
+
+# Verify migrations
+cd backend && npm run migrate:status
+
+# Test WebSocket (after starting backend)
+# In browser console:
+const socket = io('http://localhost:3000/voice', {
+  auth: { token: 'YOUR_JWT_TOKEN' }
+});
+socket.on('connect', () => console.log('Connected!'));
+```
+
+## Common Issues & Solutions
+
+| Issue | Check | Solution |
+|-------|-------|----------|
+| "Not connected" | WebSocket URL | Verify BACKEND_URL in frontend .env |
+| Build fails | Dependencies | Run `npm install` again |
+| Twilio errors | Credentials | Re-enter credentials in settings |
+| No AI features | OpenAI key | Add API key in integrations |
+| Webhook 404 | URL format | Ensure `/api/voice/...` prefix |
+| HTTPS required | Twilio webhooks | Deploy with HTTPS or use ngrok for testing |
+
+## Post-Deployment Tasks
+
+- [ ] Train users on softphone features
+- [ ] Monitor call quality and errors
+- [ ] Collect feedback for improvements
+- [ ] Plan for scaling (queue system, routing)
+- [ ] Review call logs for insights
+
+## Support Resources
+
+- **Twilio Docs**: https://www.twilio.com/docs
+- **OpenAI Realtime API**: https://platform.openai.com/docs/guides/realtime
+- **Project Docs**: `/docs/SOFTPHONE_IMPLEMENTATION.md`
+- **Quick Start**: `/docs/SOFTPHONE_QUICK_START.md`
+
+---
+
+**Last Updated**: January 3, 2026
+**Checklist Version**: 1.0

docs/SOFTPHONE_IMPLEMENTATION.md

@@ -0,0 +1,370 @@
+# Softphone Implementation with Twilio & OpenAI Realtime
+
+## Overview
+
+This implementation adds comprehensive voice calling functionality to the platform using Twilio for telephony and OpenAI Realtime API for AI-assisted calls. The softphone is accessible globally through a Vue component, with call state managed via WebSocket connections.
+
+## Architecture
+
+### Backend (NestJS + Fastify)
+
+#### Core Components
+
+1. **VoiceModule** (`backend/src/voice/`)
+   - `voice.module.ts` - Module configuration
+   - `voice.gateway.ts` - WebSocket gateway for real-time signaling
+   - `voice.service.ts` - Business logic for call orchestration
+   - `voice.controller.ts` - REST endpoints and Twilio webhooks
+   - `dto/` - Data transfer objects for type safety
+   - `interfaces/` - TypeScript interfaces for configuration
+
+2. **Database Schema**
+   - **Central Database**: `integrationsConfig` JSON field in Tenant model (encrypted)
+   - **Tenant Database**: `calls` table for call history and metadata
+
+3. **WebSocket Gateway**
+   - Namespace: `/voice`
+   - Authentication: JWT token validation in handshake
+   - Tenant Context: Extracted from JWT payload
+   - Events: `call:initiate`, `call:accept`, `call:reject`, `call:end`, `call:dtmf`
+   - AI Events: `ai:transcript`, `ai:suggestion`, `ai:action`
+
+4. **Twilio Integration**
+   - SDK: `twilio` npm package
+   - Features: Outbound calls, TwiML responses, Media Streams, webhooks
+   - Credentials: Stored encrypted per tenant in `integrationsConfig.twilio`
+
+5. **OpenAI Realtime Integration**
+   - Connection: WebSocket to `wss://api.openai.com/v1/realtime`
+   - Features: Real-time transcription, AI suggestions, tool calling
+   - Credentials: Stored encrypted per tenant in `integrationsConfig.openai`
+
+### Frontend (Nuxt 3 + Vue 3)
+
+#### Core Components
+
+1. **useSoftphone Composable** (`frontend/composables/useSoftphone.ts`)
+   - Module-level shared state for global access
+   - WebSocket connection management with auto-reconnect
+   - Call state management (current call, incoming call)
+   - Audio management (ringtone playback)
+   - Event handlers for call lifecycle and AI events
+
+2. **SoftphoneDialog Component** (`frontend/components/SoftphoneDialog.vue`)
+   - Global dialog accessible from anywhere
+   - Features:
+     - Dialer with numeric keypad
+     - Incoming call notifications with ringtone
+     - Active call controls (mute, DTMF, hang up)
+     - Real-time transcript display
+     - AI suggestions panel
+     - Recent call history
+
+3. **Integration in Layout** (`frontend/layouts/default.vue`)
+   - SoftphoneDialog included globally
+   - Sidebar button with incoming call indicator
+
+4. **Settings Page** (`frontend/pages/settings/integrations.vue`)
+   - Configure Twilio credentials
+   - Configure OpenAI API settings
+   - Encrypted storage via backend API
+
+## Configuration
+
+### Environment Variables
+
+#### Backend (.env)
+```env
+BACKEND_URL=http://localhost:3000
+ENCRYPTION_KEY=your-32-byte-hex-key
+```
+
+#### Frontend (.env)
+```env
+VITE_BACKEND_URL=http://localhost:3000
+```
+
+### Tenant Configuration
+
+Integrations are configured per tenant via the settings UI or API:
+
+```json
+{
+  "twilio": {
+    "accountSid": "ACxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
+    "authToken": "your-auth-token",
+    "phoneNumber": "+1234567890"
+  },
+  "openai": {
+    "apiKey": "sk-...",
+    "model": "gpt-4o-realtime-preview",
+    "voice": "alloy"
+  }
+}
+```
+
+This configuration is encrypted using AES-256-CBC and stored in the central database.
+
+## API Endpoints
+
+### REST Endpoints
+
+- `POST /api/voice/call` - Initiate outbound call
+- `GET /api/voice/calls` - Get call history
+- `POST /api/voice/twiml/outbound` - TwiML for outbound calls
+- `POST /api/voice/twiml/inbound` - TwiML for inbound calls
+- `POST /api/voice/webhook/status` - Twilio status webhook
+- `POST /api/voice/webhook/recording` - Twilio recording webhook
+- `GET /api/tenant/integrations` - Get integrations config (masked)
+- `PUT /api/tenant/integrations` - Update integrations config
+
+### WebSocket Events
+
+#### Client → Server
+- `call:initiate` - Initiate outbound call
+- `call:accept` - Accept incoming call
+- `call:reject` - Reject incoming call
+- `call:end` - End active call
+- `call:dtmf` - Send DTMF tone
+
+#### Server → Client
+- `call:incoming` - Incoming call notification
+- `call:initiated` - Call initiation confirmed
+- `call:accepted` - Call accepted
+- `call:rejected` - Call rejected
+- `call:ended` - Call ended
+- `call:update` - Call status update
+- `call:error` - Call error
+- `call:state` - Full call state sync
+- `ai:transcript` - AI transcription update
+- `ai:suggestion` - AI suggestion
+- `ai:action` - AI action executed
+
+## Database Schema
+
+### Central Database - Tenant Model
+
+```prisma
+model Tenant {
+  id                 String   @id @default(cuid())
+  name               String
+  slug               String   @unique
+  dbHost             String
+  dbPort             Int      @default(3306)
+  dbName             String
+  dbUsername         String
+  dbPassword         String   // Encrypted
+  integrationsConfig Json?    // NEW: Encrypted JSON config
+  status             String   @default("active")
+  createdAt          DateTime @default(now())
+  updatedAt          DateTime @updatedAt
+  
+  domains            Domain[]
+}
+```
+
+### Tenant Database - Calls Table
+
+```sql
+CREATE TABLE calls (
+  id VARCHAR(36) PRIMARY KEY,
+  call_sid VARCHAR(100) UNIQUE NOT NULL,
+  direction ENUM('inbound', 'outbound') NOT NULL,
+  from_number VARCHAR(20) NOT NULL,
+  to_number VARCHAR(20) NOT NULL,
+  status ENUM('queued', 'ringing', 'in-progress', 'completed', 'busy', 'failed', 'no-answer', 'canceled'),
+  duration_seconds INT UNSIGNED,
+  recording_url VARCHAR(500),
+  ai_transcript TEXT,
+  ai_summary TEXT,
+  ai_insights JSON,
+  user_id VARCHAR(36) NOT NULL,
+  started_at TIMESTAMP,
+  ended_at TIMESTAMP,
+  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
+  
+  FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE,
+  INDEX idx_call_sid (call_sid),
+  INDEX idx_user_id (user_id),
+  INDEX idx_status (status),
+  INDEX idx_direction (direction),
+  INDEX idx_created_user (created_at, user_id)
+);
+```
+
+## Usage
+
+### For Developers
+
+1. **Install Dependencies**
+   ```bash
+   cd backend && npm install
+   cd ../frontend && npm install
+   ```
+
+2. **Configure Environment**
+   - Set `ENCRYPTION_KEY` in backend `.env`
+   - Ensure `BACKEND_URL` matches your deployment
+
+3. **Run Migrations**
+   ```bash
+   cd backend
+   # Central database migration is handled by Prisma
+   npm run migrate:all-tenants  # Run tenant migrations
+   ```
+
+4. **Start Services**
+   ```bash
+   # Backend
+   cd backend && npm run start:dev
+   
+   # Frontend
+   cd frontend && npm run dev
+   ```
+
+### For Users
+
+1. **Configure Integrations**
+   - Navigate to Settings → Integrations
+   - Enter Twilio credentials (Account SID, Auth Token, Phone Number)
+   - Enter OpenAI API key
+   - Click "Save Configuration"
+
+2. **Make a Call**
+   - Click the "Softphone" button in the sidebar
+   - Enter a phone number (E.164 format: +1234567890)
+   - Click "Call"
+
+3. **Receive Calls**
+   - Configure Twilio webhook URLs to point to your backend
+   - Incoming calls will trigger a notification and ringtone
+   - Click "Accept" to answer or "Reject" to decline
+
+## Advanced Features
+
+### AI-Assisted Calling
+
+The OpenAI Realtime API provides:
+
+1. **Real-time Transcription** - Live speech-to-text during calls
+2. **AI Suggestions** - Contextual suggestions for agents
+3. **Tool Calling** - CRM actions via AI (search contacts, create tasks, etc.)
+
+### Tool Definitions
+
+The system includes predefined tools for AI:
+
+- `search_contact` - Search CRM for contacts
+- `create_task` - Create follow-up tasks
+- `update_contact` - Update contact information
+
+Tools automatically respect RBAC permissions as they call existing protected services.
+
+### Call Recording
+
+- Automatic recording via Twilio
+- Recording URLs stored in call records
+- Accessible via API for playback
+
+## Security
+
+1. **Encryption** - All credentials encrypted using AES-256-CBC
+2. **Authentication** - JWT-based auth for WebSocket and REST
+3. **Tenant Isolation** - Multi-tenant architecture with database-per-tenant
+4. **RBAC** - Permission-based access control (future: add voice-specific permissions)
+
+## Limitations & Future Enhancements
+
+### Current Limitations
+
+1. **Media Streaming** - Twilio Media Streams WebSocket not fully implemented
+2. **Call Routing** - No intelligent routing for inbound calls yet
+3. **Queue Management** - Basic call handling, no queue system
+4. **Audio Muting** - UI placeholder, actual audio muting not implemented
+5. **RBAC Permissions** - Voice-specific permissions not yet added
+
+### Planned Enhancements
+
+1. **Media Streams** - Full bidirectional audio between Twilio ↔ OpenAI ↔ User
+2. **Call Routing** - Route calls based on availability, skills, round-robin
+3. **Queue System** - Call queuing with BullMQ integration
+4. **Call Analytics** - Dashboard with call metrics and insights
+5. **RBAC Integration** - Add `voice.make_calls`, `voice.receive_calls` permissions
+6. **WebRTC** - Direct browser-to-Twilio audio (bypass backend)
+
+## Troubleshooting
+
+### WebSocket Connection Issues
+
+- Verify `BACKEND_URL` environment variable
+- Check CORS settings in backend
+- Ensure JWT token is valid and includes tenant information
+
+### Twilio Webhook Errors
+
+- Ensure webhook URLs are publicly accessible
+- Verify Twilio credentials in integrations config
+- Check backend logs for webhook processing errors
+
+### OpenAI Connection Issues
+
+- Verify OpenAI API key has Realtime API access
+- Check network connectivity to OpenAI endpoints
+- Monitor backend logs for WebSocket errors
+
+## Testing
+
+### Manual Testing
+
+1. **Outbound Calls**
+   ```bash
+   # Open softphone dialog
+   # Enter test number (use Twilio test credentials)
+   # Click Call
+   # Verify call status updates
+   ```
+
+2. **Inbound Calls**
+   ```bash
+   # Configure Twilio number webhook
+   # Call the Twilio number from external phone
+   # Verify incoming call notification
+   # Accept call and verify connection
+   ```
+
+3. **AI Features**
+   ```bash
+   # Make a call with OpenAI configured
+   # Speak during the call
+   # Verify transcript appears in UI
+   # Check for AI suggestions
+   ```
+
+## Dependencies
+
+### Backend
+- `@nestjs/websockets` - WebSocket support
+- `@nestjs/platform-socket.io` - Socket.IO adapter
+- `@fastify/websocket` - Fastify WebSocket plugin
+- `socket.io` - WebSocket library
+- `twilio` - Twilio SDK
+- `openai` - OpenAI SDK (for Realtime API)
+- `ws` - WebSocket client
+
+### Frontend
+- `socket.io-client` - WebSocket client
+- `lucide-vue-next` - Icons
+- `vue-sonner` - Toast notifications
+
+## Support
+
+For issues or questions:
+1. Check backend logs for error details
+2. Verify tenant integrations configuration
+3. Test Twilio/OpenAI connectivity independently
+4. Review WebSocket connection in browser DevTools
+
+## License
+
+Same as project license.

docs/SOFTPHONE_QUICK_START.md

@@ -0,0 +1,94 @@
+# Softphone Quick Start Guide
+
+## Setup (5 minutes)
+
+### 1. Configure Twilio
+
+1. Create a Twilio account at https://www.twilio.com
+2. Get your credentials:
+   - Account SID (starts with AC...)
+   - Auth Token
+   - Purchase a phone number
+3. Configure webhook URLs in Twilio Console:
+   - Voice webhook: `https://your-domain.com/api/voice/twiml/inbound`
+   - Status callback: `https://your-domain.com/api/voice/webhook/status`
+
+### 2. Configure OpenAI (Optional for AI features)
+
+1. Get OpenAI API key from https://platform.openai.com
+2. Ensure you have access to Realtime API (beta feature)
+
+### 3. Add Credentials to Platform
+
+1. Log into your tenant
+2. Navigate to **Settings → Integrations**
+3. Fill in Twilio section:
+   - Account SID
+   - Auth Token
+   - Phone Number (format: +1234567890)
+4. Fill in OpenAI section (optional):
+   - API Key
+   - Model: `gpt-4o-realtime-preview` (default)
+   - Voice: `alloy` (default)
+5. Click **Save Configuration**
+
+## Using the Softphone
+
+### Make a Call
+
+1. Click **Softphone** button in sidebar (phone icon)
+2. Enter phone number in E.164 format: `+1234567890`
+3. Click **Call** or press Enter
+4. Wait for connection
+5. During call:
+   - Click **hash** icon for DTMF keypad
+   - Click **microphone** to mute/unmute
+   - Click **red phone** to hang up
+
+### Receive a Call
+
+1. Softphone automatically connects when logged in
+2. Incoming call notification appears with ringtone
+3. Click **Accept** (green button) or **Reject** (red button)
+4. If accepted, call controls appear
+
+### AI Features (if OpenAI configured)
+
+- **Real-time Transcript**: See what's being said live
+- **AI Suggestions**: Get contextual tips during calls
+- **Smart Actions**: AI can search contacts, create tasks automatically
+
+## Quick Tips
+
+- ✅ Phone number format: `+1234567890` (include country code)
+- ✅ Close dialog: Click outside or press Escape
+- ✅ Incoming calls work even if dialog is closed
+- ✅ Recent calls appear for quick redial
+- ❌ Don't forget to save credentials before testing
+- ❌ Webhook URLs must be publicly accessible (not localhost)
+
+## Troubleshooting
+
+| Issue | Solution |
+|-------|----------|
+| "Not connected" | Check credentials in Settings → Integrations |
+| Can't make calls | Verify Twilio Account SID and Auth Token |
+| Can't receive calls | Check Twilio webhook configuration |
+| No AI features | Add OpenAI API key in settings |
+| WebSocket errors | Check browser console, verify backend URL |
+
+## Testing with Twilio Test Credentials
+
+For development, Twilio provides test credentials:
+- Use Twilio test numbers
+- No actual calls are made
+- Simulate call flows in development
+
+## Next Steps
+
+- 📞 Make your first test call
+- 🎤 Try the AI transcription feature
+- 📊 View call history in Softphone dialog
+- ⚙️ Configure call routing (advanced)
+
+Need help? Check `/docs/SOFTPHONE_IMPLEMENTATION.md` for detailed documentation.

docs/SOFTPHONE_SUMMARY.md

@@ -0,0 +1,232 @@
+# Softphone Feature - Implementation Summary
+
+## ✅ What Was Implemented
+
+This PR adds complete softphone functionality to the platform with Twilio telephony and OpenAI Realtime API integration.
+
+### Backend Changes
+
+1. **WebSocket Support**
+   - Added `@fastify/websocket` to enable WebSocket in Fastify
+   - Configured `@nestjs/websockets` with Socket.IO adapter
+   - Modified `main.ts` to register WebSocket support
+
+2. **Database Schema**
+   - Added `integrationsConfig` JSON field to Tenant model (encrypted)
+   - Created `calls` table migration for tenant databases
+   - Generated Prisma client with new schema
+
+3. **VoiceModule** (`backend/src/voice/`)
+   - `voice.module.ts` - Module registration
+   - `voice.gateway.ts` - WebSocket gateway with JWT auth
+   - `voice.service.ts` - Twilio & OpenAI integration
+   - `voice.controller.ts` - REST endpoints and webhooks
+   - DTOs and interfaces for type safety
+
+4. **Tenant Management**
+   - `tenant.controller.ts` - New endpoints for integrations config
+   - Encryption/decryption helpers in `tenant-database.service.ts`
+
+### Frontend Changes
+
+1. **Composables**
+   - `useSoftphone.ts` - Global state management with WebSocket
+
+2. **Components**
+   - `SoftphoneDialog.vue` - Full softphone UI with dialer, call controls, AI features
+   - Integrated into `default.vue` layout
+   - Added button to `AppSidebar.vue` with incoming call indicator
+
+3. **Pages**
+   - `settings/integrations.vue` - Configure Twilio and OpenAI credentials
+
+4. **Dependencies**
+   - Added `socket.io-client` for WebSocket connectivity
+
+### Documentation
+
+1. `SOFTPHONE_IMPLEMENTATION.md` - Comprehensive technical documentation
+2. `SOFTPHONE_QUICK_START.md` - User-friendly setup guide
+
+## 🎯 Key Features
+
+- ✅ Outbound calling with dialer
+- ✅ Inbound call notifications with ringtone
+- ✅ Real-time call controls (mute, DTMF, hang up)
+- ✅ Call history tracking
+- ✅ AI-powered transcription (OpenAI Realtime)
+- ✅ AI suggestions during calls
+- ✅ Tool calling for CRM actions
+- ✅ Multi-tenant with encrypted credentials per tenant
+- ✅ WebSocket-based real-time communication
+- ✅ Responsive UI with shadcn-vue components
+
+## 📦 New Dependencies
+
+### Backend
+```json
+{
+  "@fastify/websocket": "^latest",
+  "@nestjs/websockets": "^10.x",
+  "@nestjs/platform-socket.io": "^10.x",
+  "socket.io": "^latest",
+  "twilio": "^latest",
+  "openai": "^latest",
+  "ws": "^latest"
+}
+```
+
+### Frontend
+```json
+{
+  "socket.io-client": "^latest"
+}
+```
+
+## 🚀 Quick Start
+
+### 1. Run Migrations
+```bash
+cd backend
+npx prisma generate --schema=./prisma/schema-central.prisma
+npm run migrate:all-tenants
+```
+
+### 2. Configure Tenant
+1. Log into tenant account
+2. Go to Settings → Integrations
+3. Add Twilio credentials (Account SID, Auth Token, Phone Number)
+4. Add OpenAI API key (optional, for AI features)
+5. Save configuration
+
+### 3. Use Softphone
+1. Click "Softphone" button in sidebar
+2. Enter phone number and click "Call"
+3. Or receive incoming calls automatically
+
+## 🔐 Security
+
+- All credentials encrypted with AES-256-CBC
+- JWT authentication for WebSocket connections
+- Tenant isolation via database-per-tenant architecture
+- Sensitive fields masked in API responses
+
+## 📊 Database Changes
+
+### Central Database
+```sql
+ALTER TABLE tenants ADD COLUMN integrationsConfig JSON;
+```
+
+### Tenant Databases
+```sql
+CREATE TABLE calls (
+  id VARCHAR(36) PRIMARY KEY,
+  call_sid VARCHAR(100) UNIQUE NOT NULL,
+  direction ENUM('inbound', 'outbound'),
+  from_number VARCHAR(20),
+  to_number VARCHAR(20),
+  status VARCHAR(20),
+  duration_seconds INT,
+  recording_url VARCHAR(500),
+  ai_transcript TEXT,
+  ai_summary TEXT,
+  ai_insights JSON,
+  user_id VARCHAR(36),
+  started_at TIMESTAMP,
+  ended_at TIMESTAMP,
+  created_at TIMESTAMP,
+  updated_at TIMESTAMP,
+  FOREIGN KEY (user_id) REFERENCES users(id)
+);
+```
+
+## 🎨 UI Components
+
+- **SoftphoneDialog**: Main softphone interface
+  - Dialer with numeric keypad
+  - Incoming call banner with accept/reject
+  - Active call controls
+  - Real-time transcript view
+  - AI suggestions panel
+  - Recent calls list
+
+- **Sidebar Integration**: Phone button with notification badge
+
+## 🔄 API Endpoints
+
+### REST
+- `POST /api/voice/call` - Initiate call
+- `GET /api/voice/calls` - Get call history
+- `GET /api/tenant/integrations` - Get config
+- `PUT /api/tenant/integrations` - Update config
+
+### WebSocket (`/voice` namespace)
+- `call:initiate` - Start outbound call
+- `call:accept` - Accept incoming call
+- `call:reject` - Reject incoming call
+- `call:end` - End active call
+- `call:dtmf` - Send DTMF tone
+- `ai:transcript` - Receive transcription
+- `ai:suggestion` - Receive AI suggestion
+
+## ⚠️ Known Limitations
+
+1. **Media Streaming**: Twilio Media Streams WebSocket not fully implemented
+2. **Call Routing**: Basic inbound call handling (no intelligent routing yet)
+3. **RBAC**: Voice-specific permissions not yet integrated
+4. **Audio Muting**: UI present but actual audio muting not implemented
+5. **Queue System**: No call queue management (single call at a time)
+
+## 🔮 Future Enhancements
+
+1. Full Twilio Media Streams integration for audio forking
+2. Intelligent call routing (availability-based, round-robin, skills-based)
+3. Call queue management with BullMQ
+4. RBAC permissions (`voice.make_calls`, `voice.receive_calls`)
+5. WebRTC for browser-based audio
+6. Call analytics dashboard
+7. IVR (Interactive Voice Response) system
+8. Call recording download and playback
+9. Voicemail support
+
+## 🧪 Testing
+
+### Manual Testing Checklist
+- [ ] Install dependencies
+- [ ] Run migrations
+- [ ] Configure Twilio credentials
+- [ ] Make outbound call
+- [ ] Receive inbound call (requires public webhook URL)
+- [ ] Test call controls (mute, DTMF, hang up)
+- [ ] Configure OpenAI and test AI features
+- [ ] Check call history
+- [ ] Test on multiple browsers
+
+### Twilio Test Mode
+Use Twilio test credentials for development without making real calls.
+
+## 📚 Documentation
+
+See `/docs/` for detailed documentation:
+- `SOFTPHONE_IMPLEMENTATION.md` - Technical details
+- `SOFTPHONE_QUICK_START.md` - User guide
+
+## 🐛 Troubleshooting
+
+| Issue | Solution |
+|-------|----------|
+| Build errors | Run `npm install` in both backend and frontend |
+| WebSocket connection fails | Check BACKEND_URL env variable |
+| Calls not working | Verify Twilio credentials in Settings → Integrations |
+| AI features not working | Add OpenAI API key in integrations settings |
+
+## 👥 Contributors
+
+Implemented by: GitHub Copilot (Claude Sonnet 4.5)
+
+---
+
+**Status**: ✅ Ready for testing
+**Version**: 1.0.0
+**Date**: January 3, 2026

docs/TWILIO_SETUP.md

@@ -0,0 +1,65 @@
+# Twilio Setup Guide for Softphone
+
+## Prerequisites
+- Twilio account with a phone number
+- Account SID and Auth Token
+
+## Basic Setup (Current - Makes calls but no browser audio)
+
+Currently, the softphone initiates calls through Twilio's REST API, but the audio doesn't flow through the browser. The calls go directly to your mobile device with a simple TwiML message.
+
+## Full Browser Audio Setup (Requires additional configuration)
+
+To enable actual softphone functionality where audio flows through your browser's microphone and speakers, you need:
+
+### Option 1: Twilio Client SDK (Recommended)
+
+1. **Create a TwiML App in Twilio Console**
+   - Go to https://console.twilio.com/us1/develop/voice/manage/twiml-apps
+   - Click "Create new TwiML App"
+   - Name it (e.g., "RouteBox Softphone")
+   - Set Voice URL to: `https://yourdomain.com/api/voice/twiml/outbound`
+   - Set Voice Method to: `POST`
+   - Save and copy the TwiML App SID
+
+2. **Create an API Key**
+   - Go to https://console.twilio.com/us1/account/keys-credentials/api-keys
+   - Click "Create API key"
+   - Give it a friendly name
+   - Copy both the SID and Secret (you won't be able to see the secret again)
+
+3. **Add credentials to Settings > Integrations**
+   - Account SID (from main dashboard)
+   - Auth Token (from main dashboard)
+   - Phone Number (your Twilio number)
+   - API Key SID (from step 2)
+   - API Secret (from step 2)
+   - TwiML App SID (from step 1)
+
+### Option 2: Twilio Media Streams (Alternative - More complex)
+
+Uses WebSocket to stream audio bidirectionally:
+- Requires WebSocket server setup
+- More control over audio processing
+- Can integrate with OpenAI Realtime API more easily
+
+## Current Status
+
+The system works but audio doesn't flow through browser because:
+1. Calls are made via REST API only
+2. No Twilio Client SDK integration yet
+3. TwiML returns simple voice message
+
+To enable browser audio, you need to:
+1. Complete the Twilio setup above
+2. Implement the frontend Twilio Device connection
+3. Modify TwiML to dial the browser client instead of just the phone number
+
+## Quick Test (Current Setup)
+
+1. Save your Account SID, Auth Token, and Phone Number in Settings > Integrations
+2. Click the phone icon in sidebar
+3. Enter a phone number and click "Call"
+4. You should receive a call that says "This is a test call from your softphone"
+
+The call works, but audio doesn't route through your browser - it's just a regular phone call initiated by the API.

frontend/ai-processes-editor/index.html

@@ -0,0 +1,12 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>AI Process Builder</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>

frontend/ai-processes-editor/package.json

@@ -0,0 +1,23 @@
+{
+  "name": "ai-processes-editor",
+  "private": true,
+  "version": "0.1.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite --port 5174",
+    "build": "vite build",
+    "preview": "vite preview --port 5174"
+  },
+  "dependencies": {
+    "@xyflow/react": "^12.0.4",
+    "react": "^18.3.1",
+    "react-dom": "^18.3.1"
+  },
+  "devDependencies": {
+    "@types/react": "^18.3.4",
+    "@types/react-dom": "^18.3.0",
+    "@vitejs/plugin-react": "^4.3.1",
+    "typescript": "^5.6.2",
+    "vite": "^5.4.2"
+  }
+}

frontend/ai-processes-editor/src/App.tsx

@@ -0,0 +1,153 @@
+import { useCallback, useEffect } from 'react'
+import {
+  Background,
+  Controls,
+  MiniMap,
+  ReactFlow,
+  useEdgesState,
+  useNodesState,
+  addEdge,
+  Connection,
+  Edge,
+  Node,
+  Panel,
+} from '@xyflow/react'
+import '@xyflow/react/dist/style.css'
+import './styles.css'
+
+const nodeTypes = {
+  Start: { style: { background: '#22c55e', color: 'white', padding: 10, borderRadius: 5 } },
+  LLMDecisionNode: { style: { background: '#3b82f6', color: 'white', padding: 10, borderRadius: 5 } },
+  ToolNode: { style: { background: '#f59e0b', color: 'white', padding: 10, borderRadius: 5 } },
+  HumanInputNode: { style: { background: '#8b5cf6', color: 'white', padding: 10, borderRadius: 5 } },
+  End: { style: { background: '#ef4444', color: 'white', padding: 10, borderRadius: 5 } },
+}
+
+const initialNodes: Node[] = [
+  {
+    id: 'start-1',
+    type: 'default',
+    data: { label: '🟢 Start', type: 'Start' },
+    position: { x: 250, y: 50 },
+    style: nodeTypes.Start.style,
+  },
+  {
+    id: 'end-1',
+    type: 'default',
+    data: { label: '🔴 End', type: 'End' },
+    position: { x: 250, y: 400 },
+    style: nodeTypes.End.style,
+  },
+]
+
+const initialEdges: Edge[] = []
+
+export const App = () => {
+  const [nodes, setNodes, onNodesChange] = useNodesState(initialNodes)
+  const [edges, setEdges, onEdgesChange] = useEdgesState(initialEdges)
+
+  const onConnect = useCallback(
+    (params: Connection) => setEdges((eds) => addEdge(params, eds)),
+    [setEdges]
+  )
+
+  // Send graph updates to parent window
+  const notifyParent = useCallback(() => {
+    const graphData = {
+      id: 'process-graph',
+      name: 'Process',
+      nodes: nodes.map((node) => ({
+        id: node.id,
+        type: node.data.type || 'Start',
+        position: node.position,
+        data: node.data,
+      })),
+      edges: edges.map((edge) => ({
+        id: edge.id,
+        source: edge.source,
+        target: edge.target,
+        condition: edge.data?.condition,
+      })),
+    }
+
+    window.parent.postMessage(
+      {
+        type: 'GRAPH_UPDATED',
+        payload: graphData,
+      },
+      '*'
+    )
+  }, [nodes, edges])
+
+  // Listen for graph load from parent
+  useEffect(() => {
+    const handleMessage = (event: MessageEvent) => {
+      if (event.data.type === 'LOAD_GRAPH') {
+        const graph = event.data.payload
+        if (graph && graph.nodes && graph.edges) {
+          setNodes(
+            graph.nodes.map((node: any) => ({
+              id: node.id,
+              type: 'default',
+              data: { label: node.data.label || node.type, ...node.data },
+              position: node.position,
+              style: nodeTypes[node.type as keyof typeof nodeTypes]?.style || {},
+            }))
+          )
+          setEdges(
+            graph.edges.map((edge: any) => ({
+              id: edge.id,
+              source: edge.source,
+              target: edge.target,
+              data: edge.condition ? { condition: edge.condition } : undefined,
+            }))
+          )
+        }
+      }
+    }
+
+    window.addEventListener('message', handleMessage)
+    return () => window.removeEventListener('message', handleMessage)
+  }, [setNodes, setEdges])
+
+  // Notify parent on changes
+  useEffect(() => {
+    notifyParent()
+  }, [nodes, edges, notifyParent])
+
+  const addNode = (type: string) => {
+    const newNode: Node = {
+      id: `${type.toLowerCase()}-${Date.now()}`,
+      type: 'default',
+      data: { label: `${type}`, type },
+      position: { x: Math.random() * 400 + 50, y: Math.random() * 300 + 100 },
+      style: nodeTypes[type as keyof typeof nodeTypes]?.style || {},
+    }
+    setNodes((nds) => nds.concat(newNode))
+  }
+
+  return (
+    <div className="editor-shell">
+      <ReactFlow
+        nodes={nodes}
+        edges={edges}
+        onNodesChange={onNodesChange}
+        onEdgesChange={onEdgesChange}
+        onConnect={onConnect}
+        fitView
+      >
+        <Panel position="top-left" className="node-palette">
+          <h3>Node Palette</h3>
+          <button onClick={() => addNode('LLMDecisionNode')}>🔵 LLM Decision</button>
+          <button onClick={() => addNode('ToolNode')}>🟠 Tool</button>
+          <button onClick={() => addNode('HumanInputNode')}>🟣 Human Input</button>
+          <button onClick={() => addNode('End')}>🔴 End</button>
+        </Panel>
+        <MiniMap />
+        <Controls />
+        <Background />
+      </ReactFlow>
+    </div>
+  )
+}
+

frontend/ai-processes-editor/src/main.tsx

@@ -0,0 +1,7 @@
+import { createRoot } from 'react-dom/client'
+import { App } from './App'
+
+const root = document.getElementById('root')
+if (root) {
+  createRoot(root).render(<App />)
+}

frontend/ai-processes-editor/src/styles.css

@@ -0,0 +1,71 @@
+body {
+  margin: 0;
+  font-family: 'Inter', sans-serif;
+  color: #0f172a;
+}
+
+#root {
+  width: 100%;
+  height: 100vh;
+}
+
+.editor-shell {
+  display: flex;
+  flex-direction: column;
+  height: 100vh;
+  width: 100%;
+}
+
+.node-palette {
+  background: white;
+  border: 1px solid #e2e8f0;
+  border-radius: 8px;
+  padding: 12px;
+  box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
+  min-width: 150px;
+}
+
+.node-palette h3 {
+  margin: 0 0 12px 0;
+  font-size: 14px;
+  font-weight: 600;
+  color: #1e293b;
+}
+
+.node-palette button {
+  display: block;
+  width: 100%;
+  padding: 8px 12px;
+  margin-bottom: 6px;
+  background: white;
+  border: 1px solid #e2e8f0;
+  border-radius: 6px;
+  font-size: 13px;
+  cursor: pointer;
+  text-align: left;
+  transition: all 0.2s;
+}
+
+.node-palette button:hover {
+  background: #f1f5f9;
+  border-color: #cbd5e1;
+}
+
+.node-palette button:active {
+  background: #e2e8f0;
+}
+
+.react-flow__node {
+  font-size: 12px;
+  font-weight: 500;
+}
+
+.react-flow__edge-path {
+  stroke: #64748b;
+  stroke-width: 2;
+}
+
+.react-flow__edge.selected .react-flow__edge-path {
+  stroke: #3b82f6;
+}
+

frontend/ai-processes-editor/vite.config.ts

@@ -0,0 +1,9 @@
+import { defineConfig } from 'vite'
+import react from '@vitejs/plugin-react'
+
+export default defineConfig({
+  plugins: [react()],
+  server: {
+    port: 5174,
+  },
+})

frontend/components/AIChatBar.vue

@@ -7,27 +7,247 @@ import {
   InputGroupText,
 } from '@/components/ui/input-group'
 import { Separator } from '@/components/ui/separator'
-import { ArrowUp } from 'lucide-vue-next'
+import { ArrowUp, Loader2 } from 'lucide-vue-next'
+import { useRoute } from 'vue-router'
+import { useApi } from '@/composables/useApi'
+
+interface ChatMessage {
+  role: 'user' | 'assistant' | 'system';
+  text: string;
+  isStreaming?: boolean;
+}
+
+interface StreamEvent {
+  type: string;
+  data?: any;
+  processId?: string;
+  nodeId?: string;
+  toolName?: string;
+}
 
 const chatInput = ref('')
+const messages = ref<ChatMessage[]>([])
+const sending = ref(false)
+const route = useRoute()
+const { api } = useApi()
+const sessionId = ref<string | null>(null)
+const eventSource = ref<EventSource | null>(null)
 
-const handleSend = () => {
+const getTenantId = () => {
+  if (!import.meta.client) return 'tenant1'
+  return localStorage.getItem('tenantId') || 'tenant1'
+}
+
+const buildContext = () => {
+  const recordId = route.params.recordId ? String(route.params.recordId) : undefined
+  const viewParam = route.params.view ? String(route.params.view) : undefined
+  const view = viewParam || (recordId ? (recordId === 'new' ? 'edit' : 'detail') : 'list')
+  const objectApiName = route.params.objectName
+    ? String(route.params.objectName)
+    : undefined
+
+  return {
+    objectApiName,
+    view,
+    recordId,
+    route: route.fullPath,
+  }
+}
+
+const connectToStream = (sessionIdValue: string) => {
+  if (eventSource.value) {
+    eventSource.value.close()
+  }
+
+  const baseUrl = window.location.hostname === 'localhost' 
+    ? 'http://localhost:3000'
+    : `https://${window.location.hostname}`
+  
+  eventSource.value = new EventSource(
+    `${baseUrl}/tenants/${getTenantId()}/ai-chat/stream?sessionId=${sessionIdValue}`
+  )
+
+  eventSource.value.onmessage = (event) => {
+    try {
+      const payload: StreamEvent = JSON.parse(event.data)
+      handleStreamEvent(payload)
+    } catch (error) {
+      console.error('Failed to parse stream event:', error)
+    }
+  }
+
+  eventSource.value.onerror = () => {
+    eventSource.value?.close()
+    eventSource.value = null
+  }
+}
+
+const handleStreamEvent = (event: StreamEvent) => {
+  switch (event.type) {
+    case 'agent_started':
+      // Agent is thinking
+      break
+    case 'processes_listed':
+      // Processes discovered
+      break
+    case 'process_selected':
+      messages.value.push({
+        role: 'system',
+        text: `🔄 Selected process: ${event.data?.processName || 'Process'}`,
+      })
+      break
+    case 'agent_message':
+      messages.value.push({
+        role: 'assistant',
+        text: event.data?.message || '',
+      })
+      break
+    case 'node_started':
+      const lastMsg = messages.value[messages.value.length - 1]
+      if (lastMsg?.isStreaming) {
+        lastMsg.text += `\n⚙️ Executing step...`
+      }
+      break
+    case 'tool_called':
+      const lastToolMsg = messages.value[messages.value.length - 1]
+      if (lastToolMsg?.isStreaming) {
+        lastToolMsg.text += `\n🔧 Using tool: ${event.toolName}`
+      }
+      break
+    case 'need_input':
+      messages.value.push({
+        role: 'assistant',
+        text: event.data?.prompt || 'I need some additional information from you.',
+      })
+      sending.value = false
+      break
+    case 'final':
+      if (event.data?.output) {
+        messages.value.push({
+          role: 'assistant',
+          text: event.data.message || '✅ Process completed successfully!',
+        })
+      } else if (event.data?.reply) {
+        messages.value.push({
+          role: 'assistant',
+          text: event.data.reply,
+        })
+      }
+      sending.value = false
+      break
+    case 'error':
+      messages.value.push({
+        role: 'assistant',
+        text: `❌ Error: ${event.data?.error || 'An error occurred'}`,
+      })
+      sending.value = false
+      break
+  }
+}
+
+const handleSend = async () => {
   if (!chatInput.value.trim()) return
 
-  // TODO: Implement AI chat send functionality
+  const message = chatInput.value.trim()
-  console.log('Sending message:', chatInput.value)
+  messages.value.push({ role: 'user', text: message })
   chatInput.value = ''
+  sending.value = true
+
+  // Add a streaming message placeholder
+  messages.value.push({ 
+    role: 'assistant', 
+    text: '🤔 Thinking...', 
+    isStreaming: true 
+  })
+
+  try {
+    const history = messages.value
+      .filter(m => m.role !== 'system' && !m.isStreaming)
+      .slice(0, -1)
+      .slice(-6)
+      .map(m => ({ role: m.role, text: m.text }))
+
+    const response = await api.post(`/tenants/${getTenantId()}/ai-chat/messages`, {
+      message,
+      history,
+      context: buildContext(),
+      sessionId: sessionId.value || undefined,
+    })
+
+    if (response.sessionId && !sessionId.value) {
+      sessionId.value = response.sessionId
+      connectToStream(response.sessionId)
+    }
+
+    // Remove streaming placeholder and add response
+    messages.value = messages.value.filter(m => !m.isStreaming)
+    
+    if (response.reply) {
+      messages.value.push({
+        role: 'assistant',
+        text: response.reply,
+      })
+    }
+
+    // If process is running, stream will handle updates
+    if (response.runId) {
+      messages.value.push({
+        role: 'assistant',
+        text: '⏳ Processing workflow...',
+        isStreaming: true,
+      })
+    }
+  } catch (error: any) {
+    console.error('Failed to send AI chat message:', error)
+    messages.value = messages.value.filter(m => !m.isStreaming)
+    messages.value.push({
+      role: 'assistant',
+      text: error.message || 'Sorry, I ran into an error. Please try again.',
+    })
+  } finally {
+    sending.value = false
+  }
 }
+
+onUnmounted(() => {
+  if (eventSource.value) {
+    eventSource.value.close()
+  }
+})
 </script>
 
 <template>
-  <div class="ai-chat-area sticky bottom-0 z-20 bg-background border-t border-border p-4 bg-neutral-50">
+  <div class="ai-chat-area w-full border-t border-border p-4 bg-neutral-50">
+    <div class="ai-chat-messages mb-4 space-y-3 max-h-[400px] overflow-y-auto">
+      <div
+        v-for="(message, index) in messages"
+        :key="`${message.role}-${index}`"
+        class="flex"
+        :class="message.role === 'user' ? 'justify-end' : 'justify-start'"
+      >
+        <div
+          class="max-w-[80%] rounded-lg px-3 py-2 text-sm whitespace-pre-line"
+          :class="{
+            'bg-primary text-primary-foreground': message.role === 'user',
+            'bg-white border border-border text-foreground': message.role === 'assistant',
+            'bg-blue-50 border border-blue-200 text-blue-900 text-xs': message.role === 'system',
+          }"
+        >
+          <Loader2 v-if="message.isStreaming" class="inline-block size-3 animate-spin mr-1" />
+          {{ message.text }}
+        </div>
+      </div>
+      <p v-if="messages.length === 0" class="text-sm text-muted-foreground">
+        Ask the assistant to execute business processes, add records, or answer questions.
+      </p>
+    </div>
     <InputGroup>
       <InputGroupTextarea 
         v-model="chatInput"
         placeholder="Ask, Search or Chat..." 
         class="min-h-[60px] rounded-lg"
         @keydown.enter.exact.prevent="handleSend"
+        :disabled="sending"
       />
       <InputGroupAddon>
         <InputGroupText class="ml-auto">
@@ -37,7 +257,7 @@ const handleSend = () => {
         <InputGroupButton
           variant="default"
           class="rounded-full"
-          :disabled="!chatInput.trim()"
+          :disabled="!chatInput.trim() || sending"
           @click="handleSend"
         >
           <ArrowUp class="size-4" />
@@ -50,8 +270,6 @@ const handleSend = () => {
 
 <style scoped>
 .ai-chat-area {
-  height: calc(100vh / 6);
+  min-height: 190px;
-  min-height: 140px;
-  max-height: 200px;
 }
 </style>

frontend/components/AppSidebar.vue

@@ -17,15 +17,24 @@ import {
   SidebarRail,
 } from '@/components/ui/sidebar'
 import { Collapsible, CollapsibleContent, CollapsibleTrigger } from '@/components/ui/collapsible'
-import { LayoutGrid, Boxes, Settings, Home, ChevronRight, Database, Layers, LogOut, Users, Globe, Building } from 'lucide-vue-next'
+import { LayoutGrid, Boxes, Settings, Home, ChevronRight, Database, Layers, LogOut, Users, Globe, Building, Phone } from 'lucide-vue-next'
+import { useSoftphone } from '~/composables/useSoftphone'
 
 const { logout } = useAuth()
 const { api } = useApi()
+const isDrawerOpen = useState<boolean>('bottomDrawerOpen', () => false)
+const drawerTab = useState<string>('bottomDrawerTab', () => 'softphone')
+const softphone = useSoftphone()
 
 const handleLogout = async () => {
   await logout()
 }
 
+const openSoftphoneDrawer = () => {
+  drawerTab.value = 'softphone'
+  isDrawerOpen.value = true
+}
+
 // Check if user is central admin (by checking if we're on a central subdomain)
 // Use ref instead of computed to avoid hydration mismatch
 const isCentralAdmin = ref(false)
@@ -115,6 +124,11 @@ const staticMenuItems = [
         url: '/setup/roles',
         icon: Layers,
       },
+      {
+        title: 'Integrations',
+        url: '/settings/integrations',
+        icon: Settings,
+      },
     ],
   },
 ]

frontend/components/BottomDrawer.vue

@@ -0,0 +1,454 @@
+<script setup lang="ts">
+import { computed, onBeforeUnmount, onMounted, ref, watch } from 'vue'
+import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs'
+import { Button } from '@/components/ui/button'
+import { Input } from '@/components/ui/input'
+import AIChatBar from '@/components/AIChatBar.vue'
+import { Phone, Sparkles, X, ChevronUp, Hash, Mic, MicOff, PhoneIncoming, PhoneOff } from 'lucide-vue-next'
+import { toast } from 'vue-sonner'
+import { useSoftphone } from '~/composables/useSoftphone'
+
+const isDrawerOpen = useState<boolean>('bottomDrawerOpen', () => false)
+const activeTab = useState<string>('bottomDrawerTab', () => 'softphone')
+const drawerHeight = useState<number>('bottomDrawerHeight', () => 240)
+const props = defineProps<{
+  bounds?: { left: number; width: number }
+}>()
+
+const softphone = useSoftphone()
+
+const minHeight = 200
+const collapsedHeight = 72
+const maxHeight = ref(480)
+const isResizing = ref(false)
+const resizeStartY = ref(0)
+const resizeStartHeight = ref(0)
+
+const phoneNumber = ref('')
+const showDialpad = ref(false)
+
+const statusLabel = computed(() => (softphone.isConnected.value ? 'Connected' : 'Offline'))
+
+const clampHeight = (height: number) => Math.min(Math.max(height, minHeight), maxHeight.value)
+
+const updateMaxHeight = () => {
+  if (!process.client) return
+  maxHeight.value = Math.round(window.innerHeight * 0.6)
+  drawerHeight.value = clampHeight(drawerHeight.value)
+}
+
+const openDrawer = (tab?: string) => {
+  if (tab) {
+    activeTab.value = tab
+  }
+  isDrawerOpen.value = true
+  if (activeTab.value === 'softphone') {
+    softphone.open()
+  }
+}
+
+const minimizeDrawer = () => {
+  isDrawerOpen.value = false
+}
+
+const startResize = (event: MouseEvent | TouchEvent) => {
+  if (!isDrawerOpen.value) {
+    isDrawerOpen.value = true
+  }
+  isResizing.value = true
+  resizeStartY.value = 'touches' in event ? event.touches[0].clientY : event.clientY
+  resizeStartHeight.value = drawerHeight.value
+}
+
+const handleResize = (event: MouseEvent | TouchEvent) => {
+  if (!isResizing.value) return
+  const clientY = 'touches' in event ? event.touches[0].clientY : event.clientY
+  const delta = resizeStartY.value - clientY
+  drawerHeight.value = clampHeight(resizeStartHeight.value + delta)
+}
+
+const stopResize = () => {
+  isResizing.value = false
+}
+
+watch(
+  () => softphone.incomingCall.value,
+  (incoming) => {
+    if (incoming) {
+      activeTab.value = 'softphone'
+      isDrawerOpen.value = true
+    }
+  }
+)
+
+watch(
+  () => activeTab.value,
+  (tab) => {
+    if (tab === 'softphone' && isDrawerOpen.value) {
+      softphone.open()
+    }
+  }
+)
+
+watch(
+  () => isDrawerOpen.value,
+  (open) => {
+    if (open && activeTab.value === 'softphone') {
+      softphone.open()
+    }
+  }
+)
+
+const handleCall = async () => {
+  if (!phoneNumber.value) {
+    toast.error('Please enter a phone number')
+    return
+  }
+
+  try {
+    await softphone.initiateCall(phoneNumber.value)
+    phoneNumber.value = ''
+    toast.success('Call initiated')
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to initiate call')
+  }
+}
+
+const handleAccept = async () => {
+  if (!softphone.incomingCall.value) return
+
+  try {
+    await softphone.acceptCall(softphone.incomingCall.value.callSid)
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to accept call')
+  }
+}
+
+const handleReject = async () => {
+  if (!softphone.incomingCall.value) return
+
+  try {
+    await softphone.rejectCall(softphone.incomingCall.value.callSid)
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to reject call')
+  }
+}
+
+const handleEndCall = async () => {
+  if (!softphone.currentCall.value) return
+
+  try {
+    await softphone.endCall(softphone.currentCall.value.callSid)
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to end call')
+  }
+}
+
+const handleDtmf = async (digit: string) => {
+  if (!softphone.currentCall.value) return
+
+  try {
+    await softphone.sendDtmf(softphone.currentCall.value.callSid, digit)
+  } catch (error: any) {
+    console.error('Failed to send DTMF:', error)
+  }
+}
+
+const formatPhoneNumber = (number: string): string => {
+  if (!number) return ''
+  const cleaned = number.replace(/\D/g, '')
+  if (cleaned.length === 11 && cleaned[0] === '1') {
+    return `+1 (${cleaned.slice(1, 4)}) ${cleaned.slice(4, 7)}-${cleaned.slice(7)}`
+  } else if (cleaned.length === 10) {
+    return `(${cleaned.slice(0, 3)}) ${cleaned.slice(3, 6)}-${cleaned.slice(6)}`
+  }
+  return number
+}
+
+const formatDuration = (seconds?: number): string => {
+  if (!seconds) return '--:--'
+  const mins = Math.floor(seconds / 60)
+  const secs = seconds % 60
+  return `${mins}:${secs.toString().padStart(2, '0')}`
+}
+
+onMounted(() => {
+  console.log('BottomDrawer mounted');
+  updateMaxHeight()
+  window.addEventListener('mousemove', handleResize)
+  window.addEventListener('mouseup', stopResize)
+  window.addEventListener('touchmove', handleResize, { passive: true })
+  window.addEventListener('touchend', stopResize)
+  window.addEventListener('resize', updateMaxHeight)
+})
+
+onBeforeUnmount(() => {
+  console.log('BottomDrawer unmounted');
+  window.removeEventListener('mousemove', handleResize)
+  window.removeEventListener('mouseup', stopResize)
+  window.removeEventListener('touchmove', handleResize)
+  window.removeEventListener('touchend', stopResize)
+  window.removeEventListener('resize', updateMaxHeight)
+})
+</script>
+
+<template>
+  <div
+    class="pointer-events-none fixed bottom-0 z-30 flex justify-center px-2"
+    :style="{
+      left: props.bounds?.left ? `${props.bounds.left}px` : '0',
+      width: props.bounds?.width ? `${props.bounds.width}px` : '100vw',
+      right: props.bounds?.width ? 'auto' : '0',
+    }"
+  >
+    <div
+      class="pointer-events-auto w-full border border-border bg-background transition-all duration-200"
+      :class="{ 'shadow-2xl': isDrawerOpen }"
+      :style="{ height: `${isDrawerOpen ? drawerHeight : collapsedHeight}px` }"
+    >
+      <div class="grid grid-cols-3 items-center justify-between border-border px-2 py-2">
+
+        <div class="flex">
+
+          <Tabs v-if="!isDrawerOpen" v-model="activeTab" class="flex h-full flex-col">
+            <TabsList class="mx-2 mt-2 grid w-fit grid-cols-2">
+              <TabsTrigger value="softphone" class="flex items-center gap-2" @click="openDrawer('softphone')">
+                <Phone class="h-4 w-4" />
+                Softphone
+                <span
+                  class="inline-flex h-2 w-2 rounded-full"
+                  :class="softphone.isConnected.value ? 'bg-emerald-500' : 'bg-muted-foreground/40'"
+                />
+              </TabsTrigger>
+              <TabsTrigger value="ai" class="flex items-center gap-2" @click="openDrawer('ai')">
+                <Sparkles class="h-4 w-4" />
+                AI Agent
+              </TabsTrigger>
+            </TabsList>
+          </Tabs>
+
+        </div>
+        
+
+        <div
+          class="flex h-6 flex-1 cursor-row-resize items-center justify-center"
+          @mousedown="startResize"
+          @touchstart.prevent="startResize"
+        >
+          <span class="h-1.5 w-12 rounded-full bg-muted" />
+        </div>
+
+        <div class="flex col-start-3 justify-end">
+          <Button variant="ghost" size="icon" class="ml-3" @click="isDrawerOpen ? minimizeDrawer() : openDrawer()">
+            <X v-if="isDrawerOpen" class="h-4 w-4" />
+            <ChevronUp v-else class="h-4 w-4" />
+            <span class="sr-only">{{ isDrawerOpen ? 'Minimize drawer' : 'Expand drawer' }}</span>
+          </Button>
+        </div>
+
+      </div>
+
+      <Tabs v-if="isDrawerOpen" v-model="activeTab" class="flex h-full flex-col border-t">
+        <TabsList class="mx-4 mt-2 grid w-fit grid-cols-2">
+          <TabsTrigger value="softphone" class="flex items-center gap-2" @click="openDrawer('softphone')">
+            <Phone class="h-4 w-4" />
+            Softphone
+            <span
+              class="inline-flex h-2 w-2 rounded-full"
+              :class="softphone.isConnected.value ? 'bg-emerald-500' : 'bg-muted-foreground/40'"
+            />
+          </TabsTrigger>
+          <TabsTrigger value="ai" class="flex items-center gap-2" @click="openDrawer('ai')">
+            <Sparkles class="h-4 w-4" />
+            AI Agent
+          </TabsTrigger>
+        </TabsList>
+
+        <div v-show="isDrawerOpen" class="flex-1 overflow-hidden">
+          <TabsContent value="softphone" class="h-full">
+            <div class="flex h-full flex-col gap-4 px-6 pb-6 pt-4">
+              <div
+                class="flex items-center justify-between rounded-lg border px-4 py-3"
+                :class="softphone.isConnected.value ? 'border-emerald-200 bg-emerald-50/40' : 'border-border bg-muted/30'"
+              >
+                <div>
+                  <p class="text-sm font-medium">Softphone</p>
+                  <p class="text-xs text-muted-foreground">
+                    {{ softphone.isConnected.value ? 'Ready to place and receive calls.' : 'Connect to start placing calls.' }}
+                  </p>
+                </div>
+                <div class="flex items-center gap-2 text-xs">
+                  <span
+                    class="inline-flex h-2.5 w-2.5 rounded-full"
+                    :class="softphone.isConnected.value ? 'bg-emerald-500' : 'bg-muted-foreground/40'"
+                  />
+                  <span class="text-muted-foreground">{{ statusLabel }}</span>
+                </div>
+              </div>
+
+              <div v-if="softphone.aiSuggestions.value.length > 0" class="space-y-2">
+                <h3 class="text-sm font-semibold flex items-center gap-2">
+                  <span>AI Assistant</span>
+                  <span class="px-2 py-0.5 text-xs bg-blue-100 text-blue-700 rounded-full">
+                    {{ softphone.aiSuggestions.value.length }}
+                  </span>
+                </h3>
+                <div class="space-y-2 max-h-40 overflow-y-auto">
+                  <div
+                    v-for="(suggestion, index) in softphone.aiSuggestions.value.slice(0, 5)"
+                    :key="index"
+                    class="rounded-lg border p-3 text-sm transition-all"
+                    :class="{
+                      'bg-blue-50 border-blue-200': suggestion.type === 'response',
+                      'bg-emerald-50 border-emerald-200': suggestion.type === 'action',
+                      'bg-purple-50 border-purple-200': suggestion.type === 'insight',
+                    }"
+                  >
+                    <div class="flex items-center gap-2 mb-1">
+                      <span
+                        class="text-xs font-semibold uppercase"
+                        :class="{
+                          'text-blue-700': suggestion.type === 'response',
+                          'text-emerald-700': suggestion.type === 'action',
+                          'text-purple-700': suggestion.type === 'insight',
+                        }"
+                      >
+                        {{ suggestion.type }}
+                      </span>
+                      <span class="text-xs text-muted-foreground">just now</span>
+                    </div>
+                    <p class="leading-relaxed">{{ suggestion.text }}</p>
+                  </div>
+                </div>
+              </div>
+
+              <div v-if="softphone.incomingCall.value" class="rounded-lg border border-blue-200 bg-blue-50/60 p-4">
+                <div class="text-center space-y-4">
+                  <div>
+                    <p class="text-sm text-muted-foreground">Incoming call from</p>
+                    <p class="text-2xl font-semibold">
+                      {{ formatPhoneNumber(softphone.incomingCall.value.fromNumber) }}
+                    </p>
+                  </div>
+                  <div class="flex gap-2 justify-center">
+                    <Button @click="handleAccept" class="bg-emerald-500 hover:bg-emerald-600">
+                      <Phone class="h-4 w-4 mr-2" />
+                      Accept
+                    </Button>
+                    <Button @click="handleReject" variant="destructive">
+                      <PhoneOff class="h-4 w-4 mr-2" />
+                      Reject
+                    </Button>
+                  </div>
+                </div>
+              </div>
+
+              <div v-if="softphone.currentCall.value" class="space-y-4">
+                <div class="rounded-lg border bg-muted/40 p-4 text-center space-y-2">
+                  <p class="text-sm text-muted-foreground">
+                    {{ softphone.currentCall.value.direction === 'outbound' ? 'Calling' : 'Connected with' }}
+                  </p>
+                  <p class="text-2xl font-semibold">
+                    {{ formatPhoneNumber(
+                      softphone.currentCall.value.direction === 'outbound'
+                        ? softphone.currentCall.value.toNumber
+                        : softphone.currentCall.value.fromNumber
+                    ) }}
+                  </p>
+                  <p class="text-xs text-muted-foreground capitalize">{{ softphone.callStatus.value }}</p>
+                </div>
+
+                <div class="grid grid-cols-3 gap-2">
+                  <Button variant="outline" size="sm" @click="softphone.toggleMute">
+                    <Mic v-if="!softphone.isMuted.value" class="h-4 w-4" />
+                    <MicOff v-else class="h-4 w-4" />
+                  </Button>
+                  <Button variant="outline" size="sm" @click="showDialpad = !showDialpad">
+                    <Hash class="h-4 w-4" />
+                  </Button>
+                  <Button variant="destructive" size="sm" @click="handleEndCall">
+                    <PhoneOff class="h-4 w-4" />
+                  </Button>
+                </div>
+
+                <div v-if="showDialpad" class="grid grid-cols-3 gap-2">
+                  <Button
+                    v-for="digit in ['1', '2', '3', '4', '5', '6', '7', '8', '9', '*', '0', '#']"
+                    :key="digit"
+                    variant="outline"
+                    size="sm"
+                    @click="handleDtmf(digit)"
+                    class="h-12 text-lg font-semibold"
+                  >
+                    {{ digit }}
+                  </Button>
+                </div>
+              </div>
+
+              <div v-if="!softphone.currentCall.value && !softphone.incomingCall.value" class="space-y-4">
+                <div>
+                  <label class="text-sm font-medium">Phone Number</label>
+                  <Input
+                    v-model="phoneNumber"
+                    placeholder="+1234567890"
+                    class="mt-1"
+                    @keyup.enter="handleCall"
+                  />
+                </div>
+
+                <div class="grid grid-cols-3 gap-2">
+                  <Button
+                    v-for="digit in ['1', '2', '3', '4', '5', '6', '7', '8', '9', '*', '0', '#']"
+                    :key="digit"
+                    variant="outline"
+                    @click="phoneNumber += digit"
+                    class="h-12 text-lg font-semibold"
+                  >
+                    {{ digit }}
+                  </Button>
+                </div>
+
+                <div class="flex gap-2">
+                  <Button @click="handleCall" class="flex-1" :disabled="!phoneNumber">
+                    <Phone class="h-4 w-4 mr-2" />
+                    Call
+                  </Button>
+                  <Button @click="phoneNumber = ''" variant="outline">
+                    <X class="h-4 w-4" />
+                  </Button>
+                </div>
+
+                <div v-if="softphone.callHistory.value.length > 0" class="space-y-2">
+                  <h3 class="text-sm font-semibold">Recent Calls</h3>
+                  <div class="space-y-1 max-h-40 overflow-y-auto">
+                    <div
+                      v-for="call in softphone.callHistory.value.slice(0, 5)"
+                      :key="call.callSid"
+                      class="flex items-center justify-between rounded-md px-2 py-1 hover:bg-muted/40 cursor-pointer"
+                      @click="phoneNumber = call.direction === 'outbound' ? call.toNumber : call.fromNumber"
+                    >
+                      <div class="flex items-center gap-2">
+                        <Phone v-if="call.direction === 'outbound'" class="h-3 w-3 text-emerald-500" />
+                        <PhoneIncoming v-else class="h-3 w-3 text-blue-500" />
+                        <span class="text-sm">
+                          {{ formatPhoneNumber(call.direction === 'outbound' ? call.toNumber : call.fromNumber) }}
+                        </span>
+                      </div>
+                      <span class="text-xs text-muted-foreground">{{ formatDuration(call.duration) }}</span>
+                    </div>
+                  </div>
+                </div>
+              </div>
+            </div>
+          </TabsContent>
+
+          <TabsContent value="ai" class="h-full relative">
+            <div class="flex flex-col justify-end absolute bottom-0 w-full">
+              <AIChatBar />
+            </div>
+          </TabsContent>
+        </div>
+      </Tabs>
+    </div>
+  </div>
+</template>

frontend/components/PageLayoutEditor.vue

@@ -28,7 +28,8 @@
       </div>
 
       <!-- Available Fields Sidebar -->
-      <div class="w-80 border-l bg-white dark:bg-slate-950 p-4 overflow-auto">
+      <div class="w-80 border-l bg-white dark:bg-slate-950 p-4 overflow-auto space-y-6">
+        <div>
           <h3 class="text-lg font-semibold mb-4">Available Fields</h3>
           <p class="text-xs text-muted-foreground mb-4">Click or drag to add field to grid</p>
           <div class="space-y-2" id="sidebar-fields">
@@ -47,31 +48,55 @@
             </div>
           </div>
         </div>
+
+        <div v-if="relatedLists.length > 0">
+          <h3 class="text-lg font-semibold mb-2">Related Lists</h3>
+          <p class="text-xs text-muted-foreground mb-4">Select related lists to show on detail views</p>
+          <div class="space-y-2">
+            <label
+              v-for="list in relatedLists"
+              :key="list.relationName"
+              class="flex items-center gap-2 text-sm"
+            >
+              <input
+                type="checkbox"
+                class="h-4 w-4"
+                :value="list.relationName"
+                v-model="selectedRelatedLists"
+              />
+              <span>{{ list.title }}</span>
+            </label>
+          </div>
+        </div>
+      </div>
     </div>
   </div>
 </template>
 
 <script setup lang="ts">
-import { ref, onMounted, onBeforeUnmount, watch, nextTick } from 'vue'
+import { ref, onMounted, onBeforeUnmount, watch, computed } from 'vue'
 import { GridStack } from 'gridstack'
 import 'gridstack/dist/gridstack.min.css'
 import type { FieldLayoutItem } from '~/types/page-layout'
-import type { FieldConfig } from '~/types/field-types'
+import type { FieldConfig, RelatedListConfig } from '~/types/field-types'
 import { Button } from '@/components/ui/button'
 
 const props = defineProps<{
   fields: FieldConfig[]
+  relatedLists?: RelatedListConfig[]
   initialLayout?: FieldLayoutItem[]
+  initialRelatedLists?: string[]
   layoutName?: string
 }>()
 
 const emit = defineEmits<{
-  save: [layout: FieldLayoutItem[]]
+  save: [layout: { fields: FieldLayoutItem[]; relatedLists: string[] }]
 }>()
 
 const gridContainer = ref<HTMLElement | null>(null)
 let grid: GridStack | null = null
 const gridItems = ref<Map<string, any>>(new Map())
+const selectedRelatedLists = ref<string[]>(props.initialRelatedLists || [])
 
 // Fields that are already on the grid
 const placedFieldIds = ref<Set<string>>(new Set())
@@ -81,6 +106,10 @@ const availableFields = computed(() => {
   return props.fields.filter(field => !placedFieldIds.value.has(field.id))
 })
 
+const relatedLists = computed(() => {
+  return props.relatedLists || []
+})
+
 const initGrid = () => {
   if (!gridContainer.value) return
 
@@ -278,7 +307,10 @@ const handleSave = () => {
     }
   })
 
-  emit('save', layout)
+  emit('save', {
+    fields: layout,
+    relatedLists: selectedRelatedLists.value,
+  })
 }
 
 onMounted(() => {
@@ -295,6 +327,13 @@ onBeforeUnmount(() => {
 watch(() => props.fields, () => {
   updatePlacedFields()
 }, { deep: true })
+
+watch(
+  () => props.initialRelatedLists,
+  (value) => {
+    selectedRelatedLists.value = value ? [...value] : []
+  },
+)
 </script>
 
 <style>

frontend/components/PageLayoutRenderer.vue

@@ -17,6 +17,7 @@
           :record-data="modelValue"
           :mode="readonly ? VM.DETAIL : VM.EDIT"
           @update:model-value="handleFieldUpdate(fieldItem.field.apiName, $event)"
+          @update:related-fields="handleRelatedFieldsUpdate"
         />
       </div>
     </div>
@@ -34,6 +35,7 @@
           :record-data="modelValue"
           :mode="readonly ? VM.DETAIL : VM.EDIT"
           @update:model-value="handleFieldUpdate(field.apiName, $event)"
+          @update:related-fields="handleRelatedFieldsUpdate"
         />
       </div>
     </div>
@@ -96,6 +98,17 @@ const handleFieldUpdate = (fieldName: string, value: any) => {
   
   emit('update:modelValue', updated)
 }
+
+const handleRelatedFieldsUpdate = (values: Record<string, any>) => {
+  if (props.readonly) return
+
+  const updated = {
+    ...props.modelValue,
+    ...values,
+  }
+
+  emit('update:modelValue', updated)
+}
 </script>
 
 <style scoped>

frontend/components/RecordSharing.vue

@@ -178,7 +178,7 @@ import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '~
 import { Input } from '~/components/ui/input';
 import { Label } from '~/components/ui/label';
 import { Badge } from '~/components/ui/badge';
-import Checkbox from '~/components/ui/checkbox.vue';
+import { Checkbox } from '~/components/ui/checkbox';
 import DatePicker from '~/components/ui/date-picker/DatePicker.vue';
 import { UserPlus, Trash2, Users } from 'lucide-vue-next';
 

frontend/components/RelatedList.vue

@@ -11,6 +11,8 @@ interface RelatedListConfig {
   relationName: string // e.g., 'domains', 'users'
   objectApiName: string // e.g., 'domains', 'users'
   fields: FieldConfig[] // Fields to display in the list
+  lookupFieldApiName?: string // Used to filter by parentId when fetching
+  parentObjectApiName?: string // Parent object API name, used to derive lookup field if missing
   canCreate?: boolean
   createRoute?: string // Route to create new related record
 }
@@ -19,11 +21,11 @@ interface Props {
   config: RelatedListConfig
   parentId: string
   relatedRecords?: any[] // Can be passed in if already fetched
-  baseUrl?: string // Base API URL, defaults to '/central'
+  baseUrl?: string // Base API URL, defaults to runtime objects
 }
 
 const props = withDefaults(defineProps<Props>(), {
-  baseUrl: '/central',
+  baseUrl: '/runtime/objects',
   relatedRecords: undefined,
 })
 
@@ -53,14 +55,48 @@ const fetchRelatedRecords = async () => {
   
   try {
     // Replace :parentId placeholder in the API path
-    let apiPath = props.config.objectApiName.replace(':parentId', props.parentId)
+    const sanitizedBase = props.baseUrl.replace(/\/$/, '')
+    let apiPath = props.config.objectApiName.replace(':parentId', props.parentId).replace(/^\/+/, '')
+    const isRuntimeObjects = sanitizedBase.endsWith('/runtime/objects')
 
-    const response = await api.get(`${props.baseUrl}/${apiPath}`, {
+    // Default runtime object routes expect /:objectApiName/records
+    if (isRuntimeObjects && !apiPath.includes('/')) {
+      apiPath = `${apiPath}/records`
+    }
+    
+    const findLookupKey = () => {
+      if (props.config.lookupFieldApiName) return props.config.lookupFieldApiName
+
+      const parentName = props.config.parentObjectApiName?.toLowerCase()
+      const fields = props.config.fields || []
+
+      const parentMatch = fields.find(field => {
+        const relation = (field as any).relationObject || (field as any).referenceObject
+        return relation && parentName && relation.toLowerCase() === parentName
+      })
+      if (parentMatch?.apiName) return parentMatch.apiName
+
+      const lookupMatch = fields.find(
+        field => (field.type || '').toString().toLowerCase() === 'lookup'
+      )
+      if (lookupMatch?.apiName) return lookupMatch.apiName
+
+      const idMatch = fields.find(field =>
+        field.apiName?.toLowerCase().endsWith('id')
+      )
+      if (idMatch?.apiName) return idMatch.apiName
+
+      return 'parentId'
+    }
+
+    const lookupKey = findLookupKey()
+
+    const response = await api.get(`${sanitizedBase}/${apiPath}`, {
       params: {
-        parentId: props.parentId,
+        [lookupKey]: props.parentId,
       },
     })
-    records.value = response || []
+    records.value = response?.data || response || []
   } catch (err: any) {
     console.error('Error fetching related records:', err)
     error.value = err.message || 'Failed to fetch related records'
@@ -77,20 +113,40 @@ const handleViewRecord = (recordId: string) => {
   emit('navigate', props.config.objectApiName, recordId)
 }
 
-const formatValue = (value: any, field: FieldConfig): string => {
+const formatValue = (record: any, field: FieldConfig): string => {
+  const value = record?.[field.apiName]
   if (value === null || value === undefined) return '-'
   
+  const type = (field.type || '').toString().toLowerCase()
+
+  // Lookup fields: use related object display value when available
+  if (type === 'lookup' || type === 'belongsto') {
+    const relationName = field.apiName.replace(/Id$/i, '').toLowerCase()
+    const related = record?.[relationName]
+    if (related && typeof related === 'object') {
+      const displayField = (field as any).relationDisplayField || 'name'
+      if (related[displayField]) return String(related[displayField])
+      // Fallback: first string-ish property or ID
+      const firstStringKey = Object.keys(related).find(
+        key => typeof related[key] === 'string'
+      )
+      if (firstStringKey) return String(related[firstStringKey])
+      if (related.id) return String(related.id)
+    }
+    // If no related object, show raw value
+  }
+
   // Handle different field types
-  if (field.type === 'date') {
+  if (type === 'date') {
     return new Date(value).toLocaleDateString()
   }
-  if (field.type === 'datetime') {
+  if (type === 'datetime' || type === 'date_time' || type === 'date-time') {
     return new Date(value).toLocaleString()
   }
-  if (field.type === 'boolean') {
+  if (type === 'boolean') {
     return value ? 'Yes' : 'No'
   }
-  if (field.type === 'select' && field.options) {
+  if (type === 'select' && field.options) {
     const option = field.options.find(opt => opt.value === value)
     return option?.label || value
   }
@@ -163,7 +219,7 @@ onMounted(() => {
           <TableBody>
             <TableRow v-for="record in displayRecords" :key="record.id">
               <TableCell v-for="field in config.fields" :key="field.id">
-                {{ formatValue(record[field.apiName], field) }}
+                {{ formatValue(record, field) }}
               </TableCell>
               <TableCell>
                 <Button

frontend/components/SoftphoneDialog.vue

@@ -0,0 +1,300 @@
+<template>
+  <Dialog v-model:open="softphone.isOpen.value">
+    <DialogContent class="sm:max-w-[500px] max-h-[80vh] overflow-hidden flex flex-col">
+      <DialogHeader>
+        <DialogTitle>Softphone</DialogTitle>
+      </DialogHeader>
+
+      <div class="flex-1 overflow-y-auto space-y-4">
+        <!-- Connection Status -->
+        <div class="flex items-center justify-between p-3 rounded-lg border" :class="{
+          'bg-green-50 border-green-200': softphone.isConnected.value,
+          'bg-red-50 border-red-200': !softphone.isConnected.value
+        }">
+          <span class="text-sm font-medium">
+            {{ softphone.isConnected.value ? 'Connected' : 'Disconnected' }}
+          </span>
+          <div class="h-2 w-2 rounded-full" :class="{
+            'bg-green-500': softphone.isConnected.value,
+            'bg-red-500': !softphone.isConnected.value
+          }"></div>
+        </div>
+
+        <!-- Incoming Call -->
+        <div v-if="softphone.incomingCall.value" class="p-4 rounded-lg border border-blue-200 bg-blue-50 animate-pulse">
+          <div class="text-center space-y-4">
+            <div>
+              <p class="text-sm text-gray-600">Incoming call from</p>
+              <p class="text-2xl font-bold">{{ formatPhoneNumber(softphone.incomingCall.value.fromNumber) }}</p>
+            </div>
+            <div class="flex gap-2 justify-center">
+              <Button @click="handleAccept" class="bg-green-500 hover:bg-green-600">
+                <PhoneIcon class="w-4 h-4 mr-2" />
+                Accept
+              </Button>
+              <Button @click="handleReject" variant="destructive">
+                <PhoneOffIcon class="w-4 h-4 mr-2" />
+                Reject
+              </Button>
+            </div>
+          </div>
+        </div>
+
+        <!-- Active Call -->
+        <div v-if="softphone.currentCall.value" class="space-y-4">
+          <div class="p-4 rounded-lg border bg-gray-50">
+            <div class="text-center space-y-2">
+              <p class="text-sm text-gray-600">
+                {{ softphone.currentCall.value.direction === 'outbound' ? 'Calling' : 'Connected with' }}
+              </p>
+              <p class="text-2xl font-bold">
+                {{ formatPhoneNumber(
+                  softphone.currentCall.value.direction === 'outbound' 
+                    ? softphone.currentCall.value.toNumber 
+                    : softphone.currentCall.value.fromNumber
+                ) }}
+              </p>
+              <p class="text-sm text-gray-500 capitalize">{{ softphone.callStatus.value }}</p>
+            </div>
+          </div>
+
+          <!-- Call Controls -->
+          <div class="grid grid-cols-3 gap-2">
+            <Button variant="outline" size="sm" @click="toggleMute">
+              <MicIcon v-if="!isMuted" class="w-4 h-4" />
+              <MicOffIcon v-else class="w-4 h-4" />
+            </Button>
+            <Button variant="outline" size="sm" @click="showDialpad = !showDialpad">
+              <Hash class="w-4 h-4" />
+            </Button>
+            <Button variant="destructive" size="sm" @click="handleEndCall">
+              <PhoneOffIcon class="w-4 h-4" />
+            </Button>
+          </div>
+
+          <!-- Dialpad -->
+          <div v-if="showDialpad" class="grid grid-cols-3 gap-2">
+            <Button
+              v-for="digit in ['1', '2', '3', '4', '5', '6', '7', '8', '9', '*', '0', '#']"
+              :key="digit"
+              variant="outline"
+              size="sm"
+              @click="handleDtmf(digit)"
+              class="h-12 text-lg font-semibold"
+            >
+              {{ digit }}
+            </Button>
+          </div>
+        </div>
+
+        <!-- AI Suggestions - Show whenever there are suggestions, not just during active call -->
+        <div v-if="softphone.aiSuggestions.value.length > 0" class="space-y-2">
+          <h3 class="text-sm font-semibold flex items-center gap-2">
+            <span>AI Assistant</span>
+            <span class="px-2 py-0.5 text-xs bg-blue-100 text-blue-700 rounded-full">
+              {{ softphone.aiSuggestions.value.length }}
+            </span>
+          </h3>
+          <div class="space-y-2 max-h-40 overflow-y-auto">
+            <div
+              v-for="(suggestion, index) in softphone.aiSuggestions.value.slice(0, 5)"
+              :key="index"
+              class="p-3 rounded-lg border text-sm transition-all"
+              :class="{
+                'bg-blue-50 border-blue-200 animate-pulse': suggestion.type === 'response' && index === 0,
+                'bg-blue-50 border-blue-200': suggestion.type === 'response' && index !== 0,
+                'bg-green-50 border-green-200 animate-pulse': suggestion.type === 'action' && index === 0,
+                'bg-green-50 border-green-200': suggestion.type === 'action' && index !== 0,
+                'bg-purple-50 border-purple-200 animate-pulse': suggestion.type === 'insight' && index === 0,
+                'bg-purple-50 border-purple-200': suggestion.type === 'insight' && index !== 0
+              }"
+            >
+              <div class="flex items-center gap-2 mb-1">
+                <span class="text-xs font-semibold uppercase" :class="{
+                  'text-blue-700': suggestion.type === 'response',
+                  'text-green-700': suggestion.type === 'action',
+                  'text-purple-700': suggestion.type === 'insight'
+                }">{{ suggestion.type }}</span>
+                <span class="text-xs text-gray-400">just now</span>
+              </div>
+              <p class="leading-relaxed">{{ suggestion.text }}</p>
+            </div>
+          </div>
+        </div>
+
+        <!-- Dialer (when no active call) -->
+        <div v-if="!softphone.currentCall.value && !softphone.incomingCall.value" class="space-y-4">
+          <div>
+            <label class="text-sm font-medium">Phone Number</label>
+            <Input
+              v-model="phoneNumber"
+              placeholder="+1234567890"
+              class="mt-1"
+              @keyup.enter="handleCall"
+            />
+          </div>
+
+          <div class="grid grid-cols-3 gap-2">
+            <Button
+              v-for="digit in ['1', '2', '3', '4', '5', '6', '7', '8', '9', '*', '0', '#']"
+              :key="digit"
+              variant="outline"
+              @click="phoneNumber += digit"
+              class="h-12 text-lg font-semibold"
+            >
+              {{ digit }}
+            </Button>
+          </div>
+
+          <div class="flex gap-2">
+            <Button @click="handleCall" class="flex-1" :disabled="!phoneNumber">
+              <PhoneIcon class="w-4 h-4 mr-2" />
+              Call
+            </Button>
+            <Button @click="phoneNumber = ''" variant="outline">
+              <XIcon class="w-4 h-4" />
+            </Button>
+          </div>
+
+          <!-- Debug: Test AI Suggestions -->
+          <Button @click="testAiSuggestion" variant="outline" size="sm" class="w-full">
+            🧪 Test AI Suggestion
+          </Button>
+
+          <!-- Recent Calls -->
+          <div v-if="softphone.callHistory.value.length > 0" class="space-y-2">
+            <h3 class="text-sm font-semibold">Recent Calls</h3>
+            <div class="space-y-1 max-h-40 overflow-y-auto">
+              <div
+                v-for="call in softphone.callHistory.value.slice(0, 5)"
+                :key="call.callSid"
+                class="flex items-center justify-between p-2 rounded hover:bg-gray-100 cursor-pointer"
+                @click="phoneNumber = call.direction === 'outbound' ? call.toNumber : call.fromNumber"
+              >
+                <div class="flex items-center gap-2">
+                  <PhoneIcon v-if="call.direction === 'outbound'" class="w-3 h-3 text-green-500" />
+                  <PhoneIncomingIcon v-else class="w-3 h-3 text-blue-500" />
+                  <span class="text-sm">
+                    {{ formatPhoneNumber(call.direction === 'outbound' ? call.toNumber : call.fromNumber) }}
+                  </span>
+                </div>
+                <span class="text-xs text-gray-500">{{ formatDuration(call.duration) }}</span>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+    </DialogContent>
+  </Dialog>
+</template>
+
+<script setup lang="ts">
+import { ref } from 'vue';
+import { useSoftphone } from '~/composables/useSoftphone';
+import { Dialog, DialogContent, DialogHeader, DialogTitle } from '~/components/ui/dialog';
+import { Button } from '~/components/ui/button';
+import { Input } from '~/components/ui/input';
+import { PhoneIcon, PhoneOffIcon, PhoneIncomingIcon, MicIcon, MicOffIcon, Hash, XIcon } from 'lucide-vue-next';
+import { toast } from 'vue-sonner';
+
+const softphone = useSoftphone();
+
+const phoneNumber = ref('');
+const showDialpad = ref(false);
+const isMuted = ref(false);
+
+const handleCall = async () => {
+  if (!phoneNumber.value) {
+    toast.error('Please enter a phone number');
+    return;
+  }
+
+  try {
+    await softphone.initiateCall(phoneNumber.value);
+    phoneNumber.value = '';
+    toast.success('Call initiated');
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to initiate call');
+  }
+};
+
+const handleAccept = async () => {
+  if (!softphone.incomingCall.value) return;
+
+  try {
+    await softphone.acceptCall(softphone.incomingCall.value.callSid);
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to accept call');
+  }
+};
+
+const handleReject = async () => {
+  if (!softphone.incomingCall.value) return;
+
+  try {
+    await softphone.rejectCall(softphone.incomingCall.value.callSid);
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to reject call');
+  }
+};
+
+const handleEndCall = async () => {
+  if (!softphone.currentCall.value) return;
+
+  try {
+    await softphone.endCall(softphone.currentCall.value.callSid);
+  } catch (error: any) {
+    toast.error(error.message || 'Failed to end call');
+  }
+};
+
+// Debug: Test AI suggestions display
+const testAiSuggestion = () => {
+  console.log('🧪 Testing AI suggestion display');
+  console.log('Current suggestions:', softphone.aiSuggestions.value);
+  
+  // Add a test suggestion
+  softphone.aiSuggestions.value.unshift({
+    type: 'response',
+    text: '💡 Test suggestion: This is a test AI suggestion to verify UI display'
+  });
+  
+  console.log('After test:', softphone.aiSuggestions.value);
+  toast.success('Test suggestion added');
+};
+
+const handleDtmf = async (digit: string) => {
+  if (!softphone.currentCall.value) return;
+
+  try {
+    await softphone.sendDtmf(softphone.currentCall.value.callSid, digit);
+  } catch (error: any) {
+    console.error('Failed to send DTMF:', error);
+  }
+};
+
+const toggleMute = () => {
+  isMuted.value = !isMuted.value;
+  // TODO: Implement actual audio muting
+  toast.info(isMuted.value ? 'Muted' : 'Unmuted');
+};
+
+const formatPhoneNumber = (number: string): string => {
+  if (!number) return '';
+  // Simple US format
+  const cleaned = number.replace(/\D/g, '');
+  if (cleaned.length === 11 && cleaned[0] === '1') {
+    return `+1 (${cleaned.slice(1, 4)}) ${cleaned.slice(4, 7)}-${cleaned.slice(7)}`;
+  } else if (cleaned.length === 10) {
+    return `(${cleaned.slice(0, 3)}) ${cleaned.slice(3, 6)}-${cleaned.slice(6)}`;
+  }
+  return number;
+};
+
+const formatDuration = (seconds?: number): string => {
+  if (!seconds) return '--:--';
+  const mins = Math.floor(seconds / 60);
+  const secs = seconds % 60;
+  return `${mins}:${secs.toString().padStart(2, '0')}`;
+};
+</script>

frontend/components/ai-processes/NeedInputForm.vue

@@ -0,0 +1,52 @@
+<template>
+  <div class="rounded-lg border border-amber-200 bg-amber-50 p-4">
+    <p class="mb-3 text-sm font-semibold text-amber-900">{{ prompt }}</p>
+    <form class="space-y-3" @submit.prevent="submit">
+      <div v-for="field in fields" :key="field.name" class="space-y-1">
+        <label class="text-xs font-medium text-slate-600">
+          {{ field.label }}
+        </label>
+        <input
+          v-model="form[field.name]"
+          class="w-full rounded border border-slate-300 px-3 py-2 text-sm"
+          :type="field.type === 'number' ? 'number' : 'text'"
+          :required="field.required"
+        />
+      </div>
+      <button
+        type="submit"
+        class="rounded bg-slate-900 px-4 py-2 text-sm font-semibold text-white"
+      >
+        Submit
+      </button>
+    </form>
+  </div>
+</template>
+
+<script setup lang="ts">
+const props = defineProps<{
+  schema: Record<string, any>
+  prompt: string
+}>()
+
+const emit = defineEmits<{
+  (event: 'submit', payload: Record<string, unknown>): void
+}>()
+
+const form = reactive<Record<string, string>>({})
+
+const fields = computed(() => {
+  const properties = props.schema?.properties || {}
+  const required = props.schema?.required || []
+  return Object.entries(properties).map(([name, config]: [string, any]) => ({
+    name,
+    label: config.title || name,
+    type: config.type || 'string',
+    required: required.includes(name),
+  }))
+})
+
+const submit = () => {
+  emit('submit', { ...form })
+}
+</script>

frontend/components/ai-processes/ReactFlowIframe.vue

@@ -0,0 +1,19 @@
+<template>
+  <div class="rounded-lg border border-slate-200 bg-white shadow">
+    <div class="border-b border-slate-200 px-4 py-3 text-sm font-semibold text-slate-700">
+      Process Graph Editor
+    </div>
+    <iframe
+      class="h-[640px] w-full"
+      :src="editorUrl"
+      title="AI Process Builder"
+    />
+  </div>
+</template>
+
+<script setup lang="ts">
+const config = useRuntimeConfig()
+const editorUrl = computed(() =>
+  config.public.aiProcessEditorUrl || 'http://localhost:5174'
+)
+</script>