WIP - Added pagination for list view

Add dynamic tenant-level related lists and page layout selection

AI_PROCESS_BUILDER_README.md

@@ -1,324 +0,0 @@
-# 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

backend/insert-demo-process.sql

@@ -1,115 +0,0 @@
--- 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/20250321000001_create_ai_processes_module.js

@@ -1,72 +0,0 @@
-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

@@ -1,14 +0,0 @@
-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-lock.json

@@ -25,15 +25,11 @@
         "@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",
@@ -100,41 +96,6 @@
         }
       }
     },
-    "node_modules/@angular-devkit/core/node_modules/ajv": {
-      "version": "8.12.0",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
-      "integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "fast-deep-equal": "^3.1.1",
-        "json-schema-traverse": "^1.0.0",
-        "require-from-string": "^2.0.2",
-        "uri-js": "^4.2.2"
-      },
-      "funding": {
-        "type": "github",
-        "url": "https://github.com/sponsors/epoberezkin"
-      }
-    },
-    "node_modules/@angular-devkit/core/node_modules/ajv-formats": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-2.1.1.tgz",
-      "integrity": "sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependenciesMeta": {
-        "ajv": {
-          "optional": true
-        }
-      }
-    },
     "node_modules/@angular-devkit/core/node_modules/rxjs": {
       "version": "7.8.1",
       "resolved": "https://registry.npmjs.org/rxjs/-/rxjs-7.8.1.tgz",
@@ -968,23 +929,6 @@
         "fast-uri": "^2.0.0"
       }
     },
-    "node_modules/@fastify/ajv-compiler/node_modules/ajv-formats": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-2.1.1.tgz",
-      "integrity": "sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==",
-      "license": "MIT",
-      "dependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependenciesMeta": {
-        "ajv": {
-          "optional": true
-        }
-      }
-    },
     "node_modules/@fastify/cors": {
       "version": "9.0.1",
       "resolved": "https://registry.npmjs.org/@fastify/cors/-/cors-9.0.1.tgz",
@@ -2973,12 +2917,6 @@
         "pretty-format": "^29.0.0"
       }
     },
-    "node_modules/@types/json-logic-js": {
-      "version": "2.0.8",
-      "resolved": "https://registry.npmjs.org/@types/json-logic-js/-/json-logic-js-2.0.8.tgz",
-      "integrity": "sha512-WgNsDPuTPKYXl0Jh0IfoCoJoAGGYZt5qzpmjuLSEg7r0cKp/kWtWp0HAsVepyPSPyXiHo6uXp/B/kW/2J1fa2Q==",
-      "license": "MIT"
-    },
     "node_modules/@types/json-schema": {
       "version": "7.0.15",
       "resolved": "https://registry.npmjs.org/@types/json-schema/-/json-schema-7.0.15.tgz",
@@ -3636,15 +3574,15 @@
       }
     },
     "node_modules/ajv": {
-      "version": "8.17.1",
-      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz",
-      "integrity": "sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==",
+      "version": "8.12.0",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.12.0.tgz",
+      "integrity": "sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==",
       "license": "MIT",
       "dependencies": {
-        "fast-deep-equal": "^3.1.3",
-        "fast-uri": "^3.0.1",
+        "fast-deep-equal": "^3.1.1",
         "json-schema-traverse": "^1.0.0",
-        "require-from-string": "^2.0.2"
+        "require-from-string": "^2.0.2",
+        "uri-js": "^4.2.2"
       },
       "funding": {
         "type": "github",
@@ -3652,9 +3590,9 @@
       }
     },
     "node_modules/ajv-formats": {
-      "version": "3.0.1",
-      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-3.0.1.tgz",
-      "integrity": "sha512-8iUql50EUR+uUcdRQ3HDqa6EVyo3docL8g5WJ3FNcWmu62IbkGUue/pEyLBW8VGKKucTPgqeks4fIU1DA4yowQ==",
+      "version": "2.1.1",
+      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-2.1.1.tgz",
+      "integrity": "sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==",
       "license": "MIT",
       "dependencies": {
         "ajv": "^8.0.0"
@@ -3681,22 +3619,6 @@
         "ajv": "^8.8.2"
       }
     },
-    "node_modules/ajv/node_modules/fast-uri": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.0.tgz",
-      "integrity": "sha512-iPeeDKJSWf4IEOasVVrknXpaBV0IApz/gp7S2bb7Z4Lljbl2MGJRqInZiUrQwV16cpzw/D3S5j5Julj/gT52AA==",
-      "funding": [
-        {
-          "type": "github",
-          "url": "https://github.com/sponsors/fastify"
-        },
-        {
-          "type": "opencollective",
-          "url": "https://opencollective.com/fastify"
-        }
-      ],
-      "license": "BSD-3-Clause"
-    },
     "node_modules/ansi-colors": {
       "version": "4.1.3",
       "resolved": "https://registry.npmjs.org/ansi-colors/-/ansi-colors-4.1.3.tgz",
@@ -5627,6 +5549,23 @@
         "rfdc": "^1.2.0"
       }
     },
+    "node_modules/fast-json-stringify/node_modules/ajv-formats": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-3.0.1.tgz",
+      "integrity": "sha512-8iUql50EUR+uUcdRQ3HDqa6EVyo3docL8g5WJ3FNcWmu62IbkGUue/pEyLBW8VGKKucTPgqeks4fIU1DA4yowQ==",
+      "license": "MIT",
+      "dependencies": {
+        "ajv": "^8.0.0"
+      },
+      "peerDependencies": {
+        "ajv": "^8.0.0"
+      },
+      "peerDependenciesMeta": {
+        "ajv": {
+          "optional": true
+        }
+      }
+    },
     "node_modules/fast-levenshtein": {
       "version": "2.0.6",
       "resolved": "https://registry.npmjs.org/fast-levenshtein/-/fast-levenshtein-2.0.6.tgz",
@@ -7654,12 +7593,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/json-logic-js": {
-      "version": "2.0.5",
-      "resolved": "https://registry.npmjs.org/json-logic-js/-/json-logic-js-2.0.5.tgz",
-      "integrity": "sha512-rTT2+lqcuUmj4DgWfmzupZqQDA64AdmYqizzMPWj3DxGdfFNsxPpcNVSaTj4l8W2tG/+hg7/mQhxjU3aPacO6g==",
-      "license": "MIT"
-    },
     "node_modules/json-parse-even-better-errors": {
       "version": "2.3.1",
       "resolved": "https://registry.npmjs.org/json-parse-even-better-errors/-/json-parse-even-better-errors-2.3.1.tgz",
@@ -8722,23 +8655,38 @@
         "knex": ">=1.0.1"
       }
     },
-    "node_modules/objection/node_modules/ajv-formats": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-2.1.1.tgz",
-      "integrity": "sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==",
+    "node_modules/objection/node_modules/ajv": {
+      "version": "8.17.1",
+      "resolved": "https://registry.npmjs.org/ajv/-/ajv-8.17.1.tgz",
+      "integrity": "sha512-B/gBuNg5SiMTrPkC+A2+cW0RszwxYmn6VYxB/inlBStS5nx6xHIt/ehKRhIMhqusl7a8LjQoZnjCs5vhwxOQ1g==",
       "license": "MIT",
       "dependencies": {
-        "ajv": "^8.0.0"
+        "fast-deep-equal": "^3.1.3",
+        "fast-uri": "^3.0.1",
+        "json-schema-traverse": "^1.0.0",
+        "require-from-string": "^2.0.2"
       },
-      "peerDependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependenciesMeta": {
-        "ajv": {
-          "optional": true
-        }
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/epoberezkin"
       }
     },
+    "node_modules/objection/node_modules/fast-uri": {
+      "version": "3.1.0",
+      "resolved": "https://registry.npmjs.org/fast-uri/-/fast-uri-3.1.0.tgz",
+      "integrity": "sha512-iPeeDKJSWf4IEOasVVrknXpaBV0IApz/gp7S2bb7Z4Lljbl2MGJRqInZiUrQwV16cpzw/D3S5j5Julj/gT52AA==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/fastify"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/fastify"
+        }
+      ],
+      "license": "BSD-3-Clause"
+    },
     "node_modules/obliterator": {
       "version": "2.0.5",
       "resolved": "https://registry.npmjs.org/obliterator/-/obliterator-2.0.5.tgz",
@@ -9399,7 +9347,6 @@
       "version": "2.3.1",
       "resolved": "https://registry.npmjs.org/punycode/-/punycode-2.3.1.tgz",
       "integrity": "sha512-vYt7UD1U9Wg6138shLtLOvdAu+8DsC/ilFtEVHcH+wydcSpNE20AfSOduf6MkRFahL5FY7X1oU7nKVZFtfq8Fg==",
-      "dev": true,
       "license": "MIT",
       "engines": {
         "node": ">=6"
@@ -10535,24 +10482,6 @@
         }
       }
     },
-    "node_modules/terser-webpack-plugin/node_modules/ajv-formats": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-2.1.1.tgz",
-      "integrity": "sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==",
-      "dev": true,
-      "license": "MIT",
-      "dependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependenciesMeta": {
-        "ajv": {
-          "optional": true
-        }
-      }
-    },
     "node_modules/terser-webpack-plugin/node_modules/jest-worker": {
       "version": "27.5.1",
       "resolved": "https://registry.npmjs.org/jest-worker/-/jest-worker-27.5.1.tgz",
@@ -11128,7 +11057,6 @@
       "version": "4.4.1",
       "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz",
       "integrity": "sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==",
-      "dev": true,
       "license": "BSD-2-Clause",
       "dependencies": {
         "punycode": "^2.1.0"
@@ -11312,25 +11240,6 @@
         "node": ">=10.13.0"
       }
     },
-    "node_modules/webpack/node_modules/ajv-formats": {
-      "version": "2.1.1",
-      "resolved": "https://registry.npmjs.org/ajv-formats/-/ajv-formats-2.1.1.tgz",
-      "integrity": "sha512-Wx0Kx52hxE7C18hkMEggYlEifqWZtYaRgouJor+WMdPnQyEK13vgEWyVNup7SoeeoLMsr4kf5h6dOW11I15MUA==",
-      "dev": true,
-      "license": "MIT",
-      "peer": true,
-      "dependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependencies": {
-        "ajv": "^8.0.0"
-      },
-      "peerDependenciesMeta": {
-        "ajv": {
-          "optional": true
-        }
-      }
-    },
     "node_modules/webpack/node_modules/es-module-lexer": {
       "version": "2.0.0",
       "resolved": "https://registry.npmjs.org/es-module-lexer/-/es-module-lexer-2.0.0.tgz",

backend/package.json

@@ -23,8 +23,7 @@
     "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",
-    "seed:demo-process": "ts-node -r tsconfig-paths/register scripts/seed-demo-process.ts"
+    "migrate:all-tenants": "ts-node -r tsconfig-paths/register scripts/migrate-all-tenants.ts"
   },
   "dependencies": {
     "@casl/ability": "^6.7.5",
@@ -43,15 +42,11 @@
     "@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",

backend/prisma/schema.prisma

@@ -181,101 +181,6 @@ model ContactDetail {
   @@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

@@ -1,332 +0,0 @@
-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

@@ -4,7 +4,6 @@ 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)
@@ -25,17 +24,4 @@ export class AiAssistantController {
       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

@@ -10,6 +10,5 @@ import { MeilisearchModule } from '../search/meilisearch.module';
   imports: [ObjectModule, PageLayoutModule, TenantModule, MeilisearchModule],
   controllers: [AiAssistantController],
   providers: [AiAssistantService],
-  exports: [AiAssistantService],
 })
 export class AiAssistantModule {}

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

@@ -1,4 +1,4 @@
-import { BadRequestException, Injectable, Logger } from '@nestjs/common';
+import { Injectable, Logger } from '@nestjs/common';
 import { JsonOutputParser } from '@langchain/core/output_parsers';
 import { HumanMessage, SystemMessage } from '@langchain/core/messages';
 import { ChatOpenAI } from '@langchain/openai';
@@ -11,30 +11,6 @@ import { OpenAIConfig } from '../voice/interfaces/integration-config.interface';
 import { AiAssistantReply, AiAssistantState } from './ai-assistant.types';
 import { MeilisearchService } from '../search/meilisearch.service';
 
-type AiSearchFilter = {
-  field: string;
-  operator: string;
-  value?: any;
-  values?: any[];
-  from?: string;
-  to?: string;
-};
-
-type AiSearchPlan = {
-  strategy: 'keyword' | 'query';
-  explanation: string;
-  keyword?: string | null;
-  filters?: AiSearchFilter[];
-  sort?: { field: string; direction: 'asc' | 'desc' } | null;
-};
-
-type AiSearchPayload = {
-  objectApiName: string;
-  query: string;
-  page?: number;
-  pageSize?: number;
-};
-
 @Injectable()
 export class AiAssistantService {
   private readonly logger = new Logger(AiAssistantService.name);
@@ -94,108 +70,6 @@ export class AiAssistantService {
     };
   }
 
-  async searchRecords(
-    tenantId: string,
-    userId: string,
-    payload: AiSearchPayload,
-  ) {
-    const queryText = payload?.query?.trim();
-    if (!payload?.objectApiName || !queryText) {
-      throw new BadRequestException('objectApiName and query are required');
-    }
-
-    // Normalize tenant ID so Meilisearch index names align with indexed records
-    const resolvedTenantId = await this.tenantDbService.resolveTenantId(tenantId);
-
-    const objectDefinition = await this.objectService.getObjectDefinition(
-      resolvedTenantId,
-      payload.objectApiName,
-    );
-    if (!objectDefinition) {
-      throw new BadRequestException(`Object ${payload.objectApiName} not found`);
-    }
-
-    const page = Number.isFinite(Number(payload.page)) ? Number(payload.page) : 1;
-    const pageSize = Number.isFinite(Number(payload.pageSize)) ? Number(payload.pageSize) : 20;
-
-    const plan = await this.buildSearchPlan(
-      resolvedTenantId,
-      queryText,
-      objectDefinition,
-    );
-
-    console.log('AI search plan:', plan);
-
-    if (plan.strategy === 'keyword') {
-
-      console.log('AI search plan (keyword):', plan);
-
-      const keyword = plan.keyword?.trim() || queryText;
-      if (this.meilisearchService.isEnabled()) {
-        const offset = (page - 1) * pageSize;
-        const meiliResults = await this.meilisearchService.searchRecords(
-          resolvedTenantId,
-          payload.objectApiName,
-          keyword,
-          { limit: pageSize, offset },
-        );
-
-        console.log('Meilisearch results:', meiliResults);
-
-        const ids = meiliResults.hits
-          .map((hit: any) => hit?.id)
-          .filter(Boolean);
-
-        const records = ids.length
-          ? await this.objectService.searchRecordsByIds(
-              resolvedTenantId,
-              payload.objectApiName,
-              userId,
-              ids,
-              { page, pageSize },
-            )
-          : { data: [], totalCount: 0, page, pageSize };
-
-        return {
-          ...records,
-          totalCount: meiliResults.total ?? records.totalCount ?? 0,
-          strategy: plan.strategy,
-          explanation: plan.explanation,
-        };
-      }
-
-      const fallback = await this.objectService.searchRecordsByKeyword(
-        resolvedTenantId,
-        payload.objectApiName,
-        userId,
-        keyword,
-        { page, pageSize },
-      );
-      return {
-        ...fallback,
-        strategy: plan.strategy,
-        explanation: plan.explanation,
-      };
-    }
-
-    console.log('AI search plan (query):', plan);
-
-    const filtered = await this.objectService.searchRecordsWithFilters(
-      resolvedTenantId,
-      payload.objectApiName,
-      userId,
-      plan.filters || [],
-      { page, pageSize },
-      plan.sort || undefined,
-    );
-
-    return {
-      ...filtered,
-      strategy: plan.strategy,
-      explanation: plan.explanation,
-    };
-  }
-
   private async runAssistantGraph(
     tenantId: string,
     userId: string,
@@ -649,110 +523,6 @@ export class AiAssistantService {
     return extracted;
   }
 
-  private async buildSearchPlan(
-    tenantId: string,
-    message: string,
-    objectDefinition: any,
-  ): Promise<AiSearchPlan> {
-    const openAiConfig = await this.getOpenAiConfig(tenantId);
-    if (!openAiConfig) {
-      return this.buildSearchPlanFallback(message);
-    }
-
-    try {
-      return await this.buildSearchPlanWithAi(openAiConfig, message, objectDefinition);
-    } catch (error) {
-      this.logger.warn(`AI search planning failed: ${error.message}`);
-      return this.buildSearchPlanFallback(message);
-    }
-  }
-
-  private buildSearchPlanFallback(message: string): AiSearchPlan {
-    const trimmed = message.trim();
-    return {
-      strategy: 'keyword',
-      keyword: trimmed,
-      explanation: `Searched records that matches the word: "${trimmed}"`,
-    };
-  }
-
-  private async buildSearchPlanWithAi(
-    openAiConfig: OpenAIConfig,
-    message: string,
-    objectDefinition: any,
-  ): Promise<AiSearchPlan> {
-    const model = new ChatOpenAI({
-      apiKey: openAiConfig.apiKey,
-      model: this.normalizeChatModel(openAiConfig.model),
-      temperature: 0.2,
-    });
-
-    const parser = new JsonOutputParser<AiSearchPlan>();
-    const fields = (objectDefinition.fields || []).map((field: any) => ({
-      apiName: field.apiName,
-      label: field.label,
-      type: field.type,
-    }));
-
-    const formatInstructions = parser.getFormatInstructions();
-    const today = new Date().toISOString();
-
-    const response = await model.invoke([
-      new SystemMessage(
-        `You are a CRM search assistant. Decide whether the user input is a keyword search or a structured query.` +
-          `\nReturn a JSON object with keys: strategy, explanation, keyword, filters, sort.` +
-          `\n- strategy must be "keyword" or "query".` +
-          `\n- explanation must be a short sentence explaining the approach.` +
-          `\n- keyword should be the search term when strategy is "keyword", otherwise null.` +
-          `\n- filters is an array of {field, operator, value, values, from, to}.` +
-          `\n- operators must be one of eq, neq, gt, gte, lt, lte, contains, startsWith, endsWith, in, notIn, isNull, notNull, between.` +
-          `\n- Use between with from/to when the user gives date ranges like "yesterday" or "last week".` +
-          `\n- sort should be {field, direction} when sorting is requested.` +
-          `\n- Only use field apiName values exactly as provided.` +
-          `\n${formatInstructions}`,
-      ),
-      new HumanMessage(
-        `Object: ${objectDefinition.label || objectDefinition.apiName}.\n` +
-          `Fields: ${JSON.stringify(fields)}.\n` +
-          `Today is ${today}.\n` +
-          `User query: ${message}`,
-      ),
-    ]);
-
-    const content = typeof response.content === 'string' ? response.content : '{}';
-    const parsed = await parser.parse(content);
-    return this.normalizeSearchPlan(parsed, message);
-  }
-
-  private normalizeSearchPlan(plan: AiSearchPlan, message: string): AiSearchPlan {
-    if (!plan || typeof plan !== 'object') {
-      return this.buildSearchPlanFallback(message);
-    }
-
-    const strategy = plan.strategy === 'query' ? 'query' : 'keyword';
-    const explanation = plan.explanation?.trim()
-      ? plan.explanation.trim()
-      : strategy === 'keyword'
-        ? `Searched records that matches the word: "${message.trim()}"`
-        : `Applied filters based on: "${message.trim()}"`;
-
-    if (strategy === 'keyword') {
-      return {
-        strategy,
-        keyword: plan.keyword?.trim() || message.trim(),
-        explanation,
-      };
-    }
-
-    return {
-      strategy,
-      explanation,
-      keyword: null,
-      filters: Array.isArray(plan.filters) ? plan.filters : [],
-      sort: plan.sort || null,
-    };
-  }
-
   private sanitizeUserOwnerFields(
     fields: Record<string, any>,
     fieldDefinitions: any[],
@@ -986,7 +756,7 @@ export class AiAssistantService {
     ].includes(apiName);
   }
 
-  async getOpenAiConfig(tenantId: string): Promise<OpenAIConfig | null> {
+  private async getOpenAiConfig(tenantId: string): Promise<OpenAIConfig | null> {
     const resolvedTenantId = await this.tenantDbService.resolveTenantId(tenantId);
     const centralPrisma = getCentralPrisma();
     const tenant = await centralPrisma.tenant.findUnique({
@@ -1129,18 +899,12 @@ export class AiAssistantService {
 
       const providedValue = typeof value === 'string' ? value.trim() : value;
       if (providedValue && typeof providedValue === 'string') {
-
-        console.log('providedValue:', providedValue);
-
         const meiliMatch = await this.meilisearchService.searchRecord(
           resolvedTenantId,
           targetDefinition?.apiName || targetApiName,
           providedValue,
           displayField,
         );
-
-        console.log('MeiliSearch lookup for', meiliMatch);
-
         if (meiliMatch?.id) {
           resolvedFields[field.apiName] = meiliMatch.id;
           continue;

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

@@ -1,22 +0,0 @@
-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

@@ -1,25 +0,0 @@
-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

@@ -1,40 +0,0 @@
-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

@@ -1,191 +0,0 @@
-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

@@ -1,144 +0,0 @@
-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

@@ -1,19 +0,0 @@
-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

@@ -1,212 +0,0 @@
-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

@@ -1,222 +0,0 @@
-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

@@ -1,79 +0,0 @@
-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

@@ -1,319 +0,0 @@
-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

@@ -1,33 +0,0 @@
-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

@@ -1,125 +0,0 @@
-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

@@ -1,202 +0,0 @@
-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

@@ -1,173 +0,0 @@
-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

@@ -1,28 +0,0 @@
-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

@@ -1,24 +0,0 @@
-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

@@ -1,19 +0,0 @@
-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

@@ -1,226 +0,0 @@
-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

@@ -1,89 +0,0 @@
-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

@@ -9,7 +9,6 @@ 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: [
@@ -25,7 +24,6 @@ import { AiProcessesModule } from './ai-processes/ai-processes.module';
     PageLayoutModule,
     VoiceModule,
     AiAssistantModule,
-    AiProcessesModule,
   ],
 })
 export class AppModule {}

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

@@ -1,63 +0,0 @@
-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

@@ -1,164 +0,0 @@
-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

@@ -1,38 +1,7 @@
-import { Model, ModelOptions, QueryContext } from 'objection';
+import { Model, ModelOptions, QueryContext, snakeCaseMappers } from 'objection';
 
 export class BaseModel extends Model {
-  /**
-   * 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;
-    },
-  };
+  static columnNameMappers = snakeCaseMappers();
 
   id: string;
   createdAt: Date;

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

@@ -179,8 +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()) {
+    switch (field.type.toUpperCase()) {
       case 'TEXT':
       case 'STRING':
       case 'EMAIL':
@@ -188,57 +187,45 @@ export class DynamicModelFactory {
       case 'PHONE':
       case 'PICKLIST':
       case 'MULTI_PICKLIST':
-          return {
-            type: 'string',
-            ...(field.isUnique && { uniqueItems: true }),
-          };
+        return {
+          type: 'string',
+          ...(field.isUnique && { uniqueItems: true }),
+        };
 
       case 'LONG_TEXT':
-          return { type: 'string' };
+        return { type: 'string' };
 
       case 'NUMBER':
       case 'DECIMAL':
       case 'CURRENCY':
       case 'PERCENT':
-          return {
-            type: 'number',
-            ...(field.isUnique && { uniqueItems: true }),
-          };
+        return {
+          type: 'number',
+          ...(field.isUnique && { uniqueItems: true }),
+        };
 
       case 'INTEGER':
-          return {
-            type: 'integer',
-            ...(field.isUnique && { uniqueItems: true }),
-          };
+        return {
+          type: 'integer',
+          ...(field.isUnique && { uniqueItems: true }),
+        };
 
       case 'BOOLEAN':
-          return { type: 'boolean', default: false };
+        return { type: 'boolean', default: false };
 
       case 'DATE':
-          return { type: 'string', format: 'date' };
+        return { type: 'string', format: 'date' };
 
       case 'DATE_TIME':
-          return { type: 'string', format: 'date-time' };
+        return { type: 'string', format: 'date-time' };
 
       case 'LOOKUP':
       case 'BELONGS_TO':
-          return { type: 'string' };
+        return { type: 'string' };
 
       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 { type: 'string' };
     }
-
-    return schema;
   }
 
   /**

backend/src/object/object.service.ts

@@ -10,25 +10,6 @@ import { User } from '../models/user.model';
 import { ObjectMetadata } from './models/dynamic-model.factory';
 import { MeilisearchService } from '../search/meilisearch.service';
 
-type SearchFilter = {
-  field: string;
-  operator: string;
-  value?: any;
-  values?: any[];
-  from?: string;
-  to?: string;
-};
-
-type SearchSort = {
-  field: string;
-  direction: 'asc' | 'desc';
-};
-
-type SearchPagination = {
-  page?: number;
-  pageSize?: number;
-};
-
 @Injectable()
 export class ObjectService {
   private readonly logger = new Logger(ObjectService.name);
@@ -81,10 +62,8 @@ export class ObjectService {
       .where({ objectDefinitionId: obj.id })
       .orderBy('label', 'asc');
 
-    // Normalize all fields to ensure system fields are properly marked and add any missing system fields
-    const normalizedFields = this.addMissingSystemFields(
-      fields.map((field: any) => this.normalizeField(field)),
-    );
+    // Normalize all fields to ensure system fields are properly marked
+    const normalizedFields = fields.map((field: any) => this.normalizeField(field));
 
     // Get app information if object belongs to an app
     let app = null;
@@ -530,14 +509,17 @@ export class ObjectService {
     }
   }
 
-  private async buildAuthorizedQuery(
+  // Runtime endpoints - CRUD operations
+  async getRecords(
     tenantId: string,
     objectApiName: string,
     userId: string,
+    filters?: any,
   ) {
     const resolvedTenantId = await this.tenantDbService.resolveTenantId(tenantId);
     const knex = await this.tenantDbService.getTenantKnexById(resolvedTenantId);
     
+    // Get user with roles and permissions
     const user = await User.query(knex)
       .findById(userId)
       .withGraphFetched('[roles.[objectPermissions, fieldPermissions]]');
@@ -546,6 +528,7 @@ export class ObjectService {
       throw new NotFoundException('User not found');
     }
     
+    // Get object definition with authorization settings
     const objectDefModel = await ObjectDefinition.query(knex)
       .findOne({ apiName: objectApiName })
       .withGraphFetched('fields');
@@ -554,17 +537,20 @@ export class ObjectService {
       throw new NotFoundException(`Object ${objectApiName} not found`);
     }
     
-    // Normalize and enrich fields to include system fields for downstream permissions/search
-    const normalizedFields = this.addMissingSystemFields(
-      (objectDefModel.fields || []).map((field: any) => this.normalizeField(field)),
+    const tableName = this.getTableName(
+      objectDefModel.apiName,
+      objectDefModel.label,
+      objectDefModel.pluralLabel,
     );
-    objectDefModel.fields = normalizedFields;
     
+    // Ensure model is registered
     await this.ensureModelRegistered(resolvedTenantId, objectApiName, objectDefModel);
 
+    // Use Objection model
     const boundModel = await this.modelService.getBoundModel(resolvedTenantId, objectApiName);
     let query = boundModel.query();
     
+    // Apply authorization scope (modifies query in place)
     await this.authService.applyScopeToQuery(
       query,
       objectDefModel,
@@ -573,13 +559,15 @@ export class ObjectService {
       knex,
     );
     
-    const lookupFields = objectDefModel.fields?.filter((field) =>
-      field.type === 'LOOKUP' && field.referenceObject,
+    // Build graph expression for lookup fields
+    const lookupFields = objectDefModel.fields?.filter(f => 
+      f.type === 'LOOKUP' && f.referenceObject
     ) || [];
     
     if (lookupFields.length > 0) {
+      // Build relation expression - use singular lowercase for relation name
       const relationExpression = lookupFields
-        .map((field) => field.apiName.replace(/Id$/, '').toLowerCase())
+        .map(f => f.apiName.replace(/Id$/, '').toLowerCase())
         .filter(Boolean)
         .join(', ');
       
@@ -588,175 +576,6 @@ export class ObjectService {
       }
     }
     
-    return {
-      query,
-      objectDefModel,
-      user,
-      knex,
-    };
-  }
-
-  private applySearchFilters(
-    query: any,
-    filters: SearchFilter[],
-    validFields: Set<string>,
-  ) {
-    if (!Array.isArray(filters) || filters.length === 0) {
-      return query;
-    }
-
-    for (const filter of filters) {
-      const field = filter?.field;
-      if (!field || !validFields.has(field)) {
-        continue;
-      }
-
-      const operator = String(filter.operator || 'eq').toLowerCase();
-      const value = filter.value;
-      const values = Array.isArray(filter.values) ? filter.values : undefined;
-
-      switch (operator) {
-        case 'eq':
-          query.where(field, value);
-          break;
-        case 'neq':
-          query.whereNot(field, value);
-          break;
-        case 'gt':
-          query.where(field, '>', value);
-          break;
-        case 'gte':
-          query.where(field, '>=', value);
-          break;
-        case 'lt':
-          query.where(field, '<', value);
-          break;
-        case 'lte':
-          query.where(field, '<=', value);
-          break;
-        case 'contains':
-          if (value !== undefined && value !== null) {
-            query.whereRaw('LOWER(??) like ?', [field, `%${String(value).toLowerCase()}%`]);
-          }
-          break;
-        case 'startswith':
-          if (value !== undefined && value !== null) {
-            query.whereRaw('LOWER(??) like ?', [field, `${String(value).toLowerCase()}%`]);
-          }
-          break;
-        case 'endswith':
-          if (value !== undefined && value !== null) {
-            query.whereRaw('LOWER(??) like ?', [field, `%${String(value).toLowerCase()}`]);
-          }
-          break;
-        case 'in':
-          if (values?.length) {
-            query.whereIn(field, values);
-          } else if (Array.isArray(value)) {
-            query.whereIn(field, value);
-          }
-          break;
-        case 'notin':
-          if (values?.length) {
-            query.whereNotIn(field, values);
-          } else if (Array.isArray(value)) {
-            query.whereNotIn(field, value);
-          }
-          break;
-        case 'isnull':
-          query.whereNull(field);
-          break;
-        case 'notnull':
-          query.whereNotNull(field);
-          break;
-        case 'between': {
-          const from = filter.from ?? (Array.isArray(value) ? value[0] : undefined);
-          const to = filter.to ?? (Array.isArray(value) ? value[1] : undefined);
-          if (from !== undefined && to !== undefined) {
-            query.whereBetween(field, [from, to]);
-          } else if (from !== undefined) {
-            query.where(field, '>=', from);
-          } else if (to !== undefined) {
-            query.where(field, '<=', to);
-          }
-          break;
-        }
-        default:
-          break;
-      }
-    }
-
-    return query;
-  }
-
-  private applyKeywordFilter(
-    query: any,
-    keyword: string,
-    fields: string[],
-  ) {
-    const trimmed = keyword?.trim();
-    if (!trimmed || fields.length === 0) {
-      return query;
-    }
-
-    query.where((builder: any) => {
-      const lowered = trimmed.toLowerCase();
-      for (const field of fields) {
-        builder.orWhereRaw('LOWER(??) like ?', [field, `%${lowered}%`]);
-      }
-    });
-
-    return query;
-  }
-
-  private async finalizeRecordQuery(
-    query: any,
-    objectDefModel: any,
-    user: any,
-    pagination?: SearchPagination,
-  ) {
-    const parsedPage = Number.isFinite(Number(pagination?.page)) ? Number(pagination?.page) : 1;
-    const parsedPageSize = Number.isFinite(Number(pagination?.pageSize))
-      ? Number(pagination?.pageSize)
-      : 0;
-    const safePage = parsedPage > 0 ? parsedPage : 1;
-    const safePageSize = parsedPageSize > 0 ? Math.min(parsedPageSize, 500) : 0;
-    const shouldPaginate = safePageSize > 0;
-
-    const totalCount = await query.clone().resultSize();
-
-    if (shouldPaginate) {
-      query = query.offset((safePage - 1) * safePageSize).limit(safePageSize);
-    }
-
-    const records = await query.select('*');
-    const filteredRecords = await Promise.all(
-      records.map((record: any) =>
-        this.authService.filterReadableFields(record, objectDefModel.fields, user),
-      ),
-    );
-
-    return {
-      data: filteredRecords,
-      totalCount,
-      page: shouldPaginate ? safePage : 1,
-      pageSize: shouldPaginate ? safePageSize : filteredRecords.length,
-    };
-  }
-
-  // Runtime endpoints - CRUD operations
-  async getRecords(
-    tenantId: string,
-    objectApiName: string,
-    userId: string,
-    filters?: any,
-  ) {
-    let { query, objectDefModel, user } = await this.buildAuthorizedQuery(
-      tenantId,
-      objectApiName,
-      userId,
-    );
-    
     // Extract pagination and sorting parameters from query string
     const {
       page,
@@ -784,98 +603,36 @@ export class ObjectService {
     }
 
     if (sortField) {
-      const direction = sortDirection === 'desc' ? 'desc' : 'asc';
-      query = query.orderBy(sortField, direction);
+      query = query.orderBy(sortField, sortDirection === 'desc' ? 'desc' : 'asc');
     }
 
-    return this.finalizeRecordQuery(query, objectDefModel, user, { page, pageSize });
-  }
+    const parsedPage = Number.isFinite(Number(page)) ? Number(page) : 1;
+    const parsedPageSize = Number.isFinite(Number(pageSize)) ? Number(pageSize) : 0;
+    const safePage = parsedPage > 0 ? parsedPage : 1;
+    const safePageSize = parsedPageSize > 0 ? Math.min(parsedPageSize, 500) : 0;
+    const shouldPaginate = safePageSize > 0;
 
-  async searchRecordsByIds(
-    tenantId: string,
-    objectApiName: string,
-    userId: string,
-    recordIds: string[],
-    pagination?: SearchPagination,
-  ) {
-    if (!Array.isArray(recordIds) || recordIds.length === 0) {
-      return {
-        data: [],
-        totalCount: 0,
-        page: pagination?.page ?? 1,
-        pageSize: pagination?.pageSize ?? 0,
-      };
+    const totalCount = await query.clone().resultSize();
+
+    if (shouldPaginate) {
+      query = query.offset((safePage - 1) * safePageSize).limit(safePageSize);
     }
 
-    const { query, objectDefModel, user } = await this.buildAuthorizedQuery(
-      tenantId,
-      objectApiName,
-      userId,
+    const records = await query.select('*');
+    
+    // Filter fields based on field-level permissions
+    const filteredRecords = await Promise.all(
+      records.map(record => 
+        this.authService.filterReadableFields(record, objectDefModel.fields, user)
+      )
     );
     
-    query.whereIn('id', recordIds);
-    const orderBindings: any[] = ['id'];
-    const cases = recordIds
-      .map((id, index) => {
-        orderBindings.push(id, index);
-        return 'when ? then ?';
-      })
-      .join(' ');
-
-    if (cases) {
-      query.orderByRaw(`case ?? ${cases} end`, orderBindings);
-    }
-
-    return this.finalizeRecordQuery(query, objectDefModel, user, pagination);
-  }
-
-  async searchRecordsWithFilters(
-    tenantId: string,
-    objectApiName: string,
-    userId: string,
-    filters: SearchFilter[],
-    pagination?: SearchPagination,
-    sort?: SearchSort,
-  ) {
-    const { query, objectDefModel, user } = await this.buildAuthorizedQuery(
-      tenantId,
-      objectApiName,
-      userId,
-    );
-
-    const validFields = new Set([
-      ...(objectDefModel.fields?.map((field: any) => field.apiName) || []),
-      ...this.getSystemFieldNames(),
-    ]);
-    this.applySearchFilters(query, filters, validFields);
-
-    if (sort?.field && validFields.has(sort.field)) {
-      query.orderBy(sort.field, sort.direction === 'desc' ? 'desc' : 'asc');
-    }
-
-    return this.finalizeRecordQuery(query, objectDefModel, user, pagination);
-  }
-
-  async searchRecordsByKeyword(
-    tenantId: string,
-    objectApiName: string,
-    userId: string,
-    keyword: string,
-    pagination?: SearchPagination,
-  ) {
-    const { query, objectDefModel, user } = await this.buildAuthorizedQuery(
-      tenantId,
-      objectApiName,
-      userId,
-    );
-
-    const keywordFields = (objectDefModel.fields || [])
-      .filter((field: any) => this.isKeywordField(field.type))
-      .map((field: any) => field.apiName);
-
-    this.applyKeywordFilter(query, keyword, keywordFields);
-
-    return this.finalizeRecordQuery(query, objectDefModel, user, pagination);
+    return {
+      data: filteredRecords,
+      totalCount,
+      page: shouldPaginate ? safePage : 1,
+      pageSize: shouldPaginate ? safePageSize : filteredRecords.length,
+    };
   }
 
   async getRecord(
@@ -1179,8 +936,7 @@ export class ObjectService {
       objectApiName,
       editableData,
     );
-    // Use patch to avoid validating or overwriting fields that aren't present in the edit view
-    await boundModel.query().patch(normalizedEditableData).where({ id: recordId });
+    await boundModel.query().where({ id: recordId }).update(normalizedEditableData);
     const record = await boundModel.query().where({ id: recordId }).first();
     await this.indexRecord(resolvedTenantId, objectApiName, objectDefModel.fields, record);
     return record;
@@ -1285,22 +1041,9 @@ export class ObjectService {
       throw new NotFoundException(`Records not found: ${missingIds.join(', ')}`);
     }
     
-    const deletableIds: string[] = [];
-    const deniedIds: string[] = [];
-
+    // Check if user can delete each record
     for (const record of records) {
-      const canDelete = await this.authService.canPerformAction(
-        'delete',
-        objectDefModel,
-        record,
-        user,
-        knex,
-      );
-      if (canDelete) {
-        deletableIds.push(record.id);
-      } else {
-        deniedIds.push(record.id);
-      }
+      await this.authService.assertCanPerformAction('delete', objectDefModel, record, user, knex);
     }
 
     // Ensure model is registered
@@ -1308,23 +1051,14 @@ export class ObjectService {
 
     // Use Objection model
     const boundModel = await this.modelService.getBoundModel(resolvedTenantId, objectApiName);
-    if (deletableIds.length > 0) {
-      await boundModel.query().whereIn('id', deletableIds).delete();
-    }
+    await boundModel.query().whereIn('id', recordIds).delete();
 
     // Remove from search index
     await Promise.all(
-      deletableIds.map((id) =>
-        this.removeIndexedRecord(resolvedTenantId, objectApiName, id),
-      ),
+      recordIds.map((id) => this.removeIndexedRecord(resolvedTenantId, objectApiName, id)),
     );
     
-    return {
-      success: true,
-      deleted: deletableIds.length,
-      deletedIds: deletableIds,
-      deniedIds,
-    };
+    return { success: true, deleted: recordIds.length };
   }
 
   private async indexRecord(
@@ -1339,32 +1073,12 @@ export class ObjectService {
       .map((field: any) => field.apiName)
       .filter((apiName) => apiName && !this.isSystemField(apiName));
 
-    console.log('Indexing record', {
-      tenantId,
-      objectApiName,
-      recordId: record.id,
-      fieldsToIndex,
-    });
-
     await this.meilisearchService.upsertRecord(
       tenantId,
       objectApiName,
       record,
       fieldsToIndex,
     );
-
-    console.log('Indexed record successfully');
-
-
-    const meiliResults = await this.meilisearchService.searchRecords(
-          tenantId,
-          objectApiName,
-          record.name,
-          { limit: 10 },
-        );
-
-        console.log('Meilisearch results:', meiliResults);
-
   }
 
   private async removeIndexedRecord(
@@ -1377,48 +1091,15 @@ export class ObjectService {
   }
 
   private isSystemField(apiName: string): boolean {
-    return this.getSystemFieldNames().includes(apiName);
-  }
-
-  private getSystemFieldNames(): string[] {
-    return ['id', 'ownerId', 'created_at', 'updated_at', 'createdAt', 'updatedAt', 'tenantId'];
-  }
-
-  private addMissingSystemFields(fields: any[]): any[] {
-    const existing = new Map((fields || []).map((field) => [field.apiName, field]));
-    const systemDefaults = [
-      { apiName: 'id', label: 'ID', type: 'STRING' },
-      { apiName: 'created_at', label: 'Created At', type: 'DATE_TIME' },
-      { apiName: 'updated_at', label: 'Updated At', type: 'DATE_TIME' },
-      { apiName: 'ownerId', label: 'Owner', type: 'LOOKUP', referenceObject: 'User' },
-    ];
-
-    const merged = [...fields];
-    for (const sysField of systemDefaults) {
-      if (!existing.has(sysField.apiName)) {
-        merged.push({
-          ...sysField,
-          isSystem: true,
-          isCustom: false,
-          isRequired: false,
-        });
-      }
-    }
-
-    return merged;
-  }
-
-  private isKeywordField(type: string | undefined): boolean {
-    const normalized = String(type || '').toUpperCase();
     return [
-      'STRING',
-      'TEXT',
-      'EMAIL',
-      'PHONE',
-      'URL',
-      'RICH_TEXT',
-      'TEXTAREA',
-    ].includes(normalized);
+      'id',
+      'ownerId',
+      'created_at',
+      'updated_at',
+      'createdAt',
+      'updatedAt',
+      'tenantId',
+    ].includes(apiName);
   }
 
   private async normalizePolymorphicRelatedObject(

backend/src/search/meilisearch.service.ts

@@ -28,8 +28,6 @@ export class MeilisearchService {
     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,
@@ -68,48 +66,6 @@ export class MeilisearchService {
     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,

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

@@ -110,9 +110,8 @@ export class TenantDatabaseService {
    * @deprecated Use getTenantKnexByDomain or getTenantKnexById instead
    */
   async getTenantKnex(tenantIdOrSlug: string): Promise<Knex> {
-    // Resolve tenant ID first, then get connection by ID
-    const tenantId = await this.resolveTenantId(tenantIdOrSlug);
-    return this.getTenantKnexById(tenantId);
+    // Assume it's a domain if it contains a dot
+    return this.getTenantKnexByDomain(tenantIdOrSlug);
   }
 
   /**

frontend/ai-processes-editor/index.html

@@ -1,12 +0,0 @@
-<!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

@@ -1,23 +0,0 @@
-{
-  "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

@@ -1,153 +0,0 @@
-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

@@ -1,7 +0,0 @@
-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

@@ -1,71 +0,0 @@
-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

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

frontend/app.vue

@@ -1,11 +1,13 @@
 <script setup lang="ts">
 import { Toaster } from 'vue-sonner'
+import BottomDrawer from '@/components/BottomDrawer.vue'
 </script>
 
 <template>
   <div>
     <Toaster position="top-right" :duration="4000" richColors />
     <NuxtPage />
+    <BottomDrawer />
   </div>
 </template>
 

frontend/components/AIChatBar.vue

@@ -7,36 +7,15 @@ import {
   InputGroupText,
 } from '@/components/ui/input-group'
 import { Separator } from '@/components/ui/separator'
-import { ArrowUp, Loader2 } from 'lucide-vue-next'
+import { ArrowUp } 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 messages = ref<{ role: 'user' | 'assistant'; text: string }[]>([])
 const sending = ref(false)
 const route = useRoute()
 const { api } = useApi()
-const sessionId = ref<string | null>(null)
-const eventSource = ref<EventSource | null>(null)
-
-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
@@ -54,97 +33,6 @@ const buildContext = () => {
   }
 }
 
-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
 
@@ -153,53 +41,31 @@ const handleSend = async () => {
   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`, {
+    const history = messages.value.slice(0, -1).slice(-6)
+    const response = await api.post('/ai/chat', {
       message,
       history,
       context: buildContext(),
-      sessionId: sessionId.value || undefined,
     })
 
-    if (response.sessionId && !sessionId.value) {
-      sessionId.value = response.sessionId
-      connectToStream(response.sessionId)
-    }
+    messages.value.push({
+      role: 'assistant',
+      text: response.reply || 'Let me know what else you need.',
+    })
 
-    // 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,
-      })
+    if (response.action === 'create_record') {
+      window.dispatchEvent(
+        new CustomEvent('ai-record-created', {
+          detail: {
+            objectApiName: buildContext().objectApiName,
+            record: response.record,
+          },
+        }),
+      )
     }
   } 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.',
@@ -208,17 +74,11 @@ const handleSend = async () => {
     sending.value = false
   }
 }
-
-onUnmounted(() => {
-  if (eventSource.value) {
-    eventSource.value.close()
-  }
-})
 </script>
 
 <template>
   <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 class="ai-chat-messages mb-4 space-y-3">
       <div
         v-for="(message, index) in messages"
         :key="`${message.role}-${index}`"
@@ -226,19 +86,14 @@ onUnmounted(() => {
         :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',
-          }"
+          class="max-w-[80%] rounded-lg px-3 py-2 text-sm"
+          :class="message.role === 'user' ? 'bg-primary text-primary-foreground' : 'bg-white border border-border text-foreground'"
         >
-          <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.
+        Ask the assistant to add records, filter lists, or summarize the page.
       </p>
     </div>
     <InputGroup>

frontend/components/BottomDrawer.vue

@@ -11,9 +11,6 @@ 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()
 
@@ -193,17 +190,9 @@ onBeforeUnmount(() => {
 </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-none fixed inset-x-0 bottom-0 z-30 flex justify-center px-2">
     <div
-      class="pointer-events-auto w-full border border-border bg-background transition-all duration-200"
-      :class="{ 'shadow-2xl': isDrawerOpen }"
+      class="pointer-events-auto w-full border border-border bg-background shadow-xl transition-all duration-200"
       :style="{ height: `${isDrawerOpen ? drawerHeight : collapsedHeight}px` }"
     >
       <div class="grid grid-cols-3 items-center justify-between border-border px-2 py-2">

frontend/components/ai-processes/NeedInputForm.vue

@@ -1,52 +0,0 @@
-<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

@@ -1,19 +0,0 @@
-<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>

frontend/components/ui/checkbox/Checkbox.vue

@@ -18,7 +18,7 @@ const forwarded = useForwardPropsEmits(delegatedProps, emits)
   <CheckboxRoot
     v-bind="forwarded"
     :class="
-      cn('grid place-content-center peer h-4 w-4 shrink-0 rounded-sm border border-primary shadow focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50',
+      cn('grid place-content-center peer h-4 w-4 shrink-0 rounded-sm border border-primary shadow focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=checked]:text-primary-foreground',
          props.class)"
   >
     <CheckboxIndicator class="grid place-content-center text-current">

frontend/components/views/ListView.vue

@@ -12,7 +12,6 @@ import { Button } from '@/components/ui/button'
 import { Input } from '@/components/ui/input'
 import { Badge } from '@/components/ui/badge'
 import { Checkbox } from '@/components/ui/checkbox'
-import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select'
 import FieldRenderer from '@/components/fields/FieldRenderer.vue'
 import { ListViewConfig, ViewMode, FieldType } from '@/types/field-types'
 import { ChevronDown, ChevronUp, Search, Plus, Download, Trash2, Edit } from 'lucide-vue-next'
@@ -24,7 +23,6 @@ interface Props {
   selectable?: boolean
   baseUrl?: string
   totalCount?: number
-  searchSummary?: string
 }
 
 const props = withDefaults(defineProps<Props>(), {
@@ -32,7 +30,6 @@ const props = withDefaults(defineProps<Props>(), {
   loading: false,
   selectable: false,
   baseUrl: '/runtime/objects',
-  searchSummary: '',
 })
 
 const emit = defineEmits<{
@@ -50,13 +47,11 @@ const emit = defineEmits<{
 }>()
 
 // State
-const normalizeId = (id: any) => String(id)
-const selectedRowIds = ref<string[]>([])
+const selectedRows = ref<Set<string>>(new Set())
 const searchQuery = ref('')
 const sortField = ref<string>('')
 const sortDirection = ref<'asc' | 'desc'>('asc')
 const currentPage = ref(1)
-const bulkAction = ref('delete')
 
 // Computed
 const visibleFields = computed(() => 
@@ -97,39 +92,27 @@ const showLoadMore = computed(() => (
 ))
 
 const allSelected = computed({
-  get: () => props.data.length > 0 && selectedRowIds.value.length === props.data.length,
+  get: () => props.data.length > 0 && selectedRows.value.size === props.data.length,
   set: (val: boolean) => {
     if (val) {
-      selectedRowIds.value = props.data.map(row => normalizeId(row.id))
+      selectedRows.value = new Set(props.data.map(row => row.id))
     } else {
-      selectedRowIds.value = []
+      selectedRows.value.clear()
     }
     emit('row-select', getSelectedRows())
   },
 })
 
 const getSelectedRows = () => {
-  const idSet = new Set(selectedRowIds.value)
-  return props.data.filter(row => idSet.has(normalizeId(row.id)))
+  return props.data.filter(row => selectedRows.value.has(row.id))
 }
 
 const toggleRowSelection = (rowId: string) => {
-  const normalizedId = normalizeId(rowId)
-  const nextSelection = new Set(selectedRowIds.value)
-  nextSelection.has(normalizedId) ? nextSelection.delete(normalizedId) : nextSelection.add(normalizedId)
-  selectedRowIds.value = Array.from(nextSelection)
-  emit('row-select', getSelectedRows())
-}
-
-const setRowSelection = (rowId: string, checked: boolean) => {
-  const normalizedId = normalizeId(rowId)
-  const nextSelection = new Set(selectedRowIds.value)
-  if (checked) {
-    nextSelection.add(normalizedId)
+  if (selectedRows.value.has(rowId)) {
+    selectedRows.value.delete(rowId)
   } else {
-    nextSelection.delete(normalizedId)
+    selectedRows.value.add(rowId)
   }
-  selectedRowIds.value = Array.from(nextSelection)
   emit('row-select', getSelectedRows())
 }
 
@@ -151,14 +134,6 @@ const handleAction = (actionId: string) => {
   emit('action', actionId, getSelectedRows())
 }
 
-const handleBulkAction = () => {
-  if (bulkAction.value === 'delete') {
-    emit('delete', getSelectedRows())
-    return
-  }
-  emit('action', bulkAction.value, getSelectedRows())
-}
-
 const goToPage = (page: number) => {
   const nextPage = Math.min(Math.max(page, 1), availablePages.value)
   if (nextPage !== currentPage.value) {
@@ -180,19 +155,6 @@ watch(
     }
   }
 )
-
-watch(
-  () => props.data,
-  (rows) => {
-    const rowIds = new Set(rows.map(row => normalizeId(row.id)))
-    const nextSelection = selectedRowIds.value.filter(id => rowIds.has(id))
-    if (nextSelection.length !== selectedRowIds.value.length) {
-      selectedRowIds.value = nextSelection
-      emit('row-select', getSelectedRows())
-    }
-  },
-  { deep: true }
-)
 </script>
 
 <template>
@@ -210,31 +172,18 @@ watch(
             @keyup.enter="handleSearch"
           />
         </div>
-        <p v-if="searchSummary" class="mt-2 text-xs text-muted-foreground">
-          {{ searchSummary }}
-        </p>
       </div>
 
       <div class="flex items-center gap-2">
         <!-- Bulk Actions -->
-        <template v-if="selectedRowIds.length > 0">
+        <template v-if="selectedRows.size > 0">
           <Badge variant="secondary" class="px-3 py-1">
-            {{ selectedRowIds.length }} selected
+            {{ selectedRows.size }} selected
           </Badge>
-          <div class="flex items-center gap-2">
-            <Select v-model="bulkAction" @update:model-value="(value) => bulkAction = value">
-              <SelectTrigger class="h-8 w-[180px]">
-                <SelectValue placeholder="Select action" />
-              </SelectTrigger>
-              <SelectContent>
-                <SelectItem value="delete">Delete selected</SelectItem>
-              </SelectContent>
-            </Select>
-            <Button variant="outline" size="sm" @click="handleBulkAction">
-              <Trash2 class="h-4 w-4 mr-2" />
-              Run
-            </Button>
-          </div>
+          <Button variant="outline" size="sm" @click="emit('delete', getSelectedRows())">
+            <Trash2 class="h-4 w-4 mr-2" />
+            Delete
+          </Button>
         </template>
 
         <!-- Custom Actions -->
@@ -268,10 +217,7 @@ watch(
         <TableHeader>
           <TableRow>
             <TableHead v-if="selectable" class="w-12">
-              <Checkbox
-                :model-value="allSelected"
-                @update:model-value="(value: boolean) => (allSelected = value)"
-              />
+              <Checkbox v-model:checked="allSelected" />
             </TableHead>
             <TableHead
               v-for="field in visibleFields"
@@ -312,8 +258,8 @@ watch(
           >
             <TableCell v-if="selectable" @click.stop>
               <Checkbox
-                :model-value="selectedRowIds.includes(normalizeId(row.id))"
-                @update:model-value="(checked: boolean) => setRowSelection(normalizeId(row.id), checked)"
+                :checked="selectedRows.has(row.id)"
+                @update:checked="toggleRowSelection(row.id)"
               />
             </TableCell>
             <TableCell v-for="field in visibleFields" :key="field.id">

frontend/composables/useFieldViews.ts

@@ -330,25 +330,9 @@ export const useViewState = <T extends { id?: string }>(
     loading.value = true
     error.value = null
     try {
-      const useBulkEndpoint = apiEndpoint.includes('/runtime/objects/')
-      if (useBulkEndpoint) {
-        const response = await api.post(`${apiEndpoint}/bulk-delete`, { ids })
-        const deletedIds = Array.isArray(response?.deletedIds) ? response.deletedIds : ids
-        records.value = records.value.filter(r => !deletedIds.includes(r.id!))
-        totalCount.value = Math.max(0, totalCount.value - deletedIds.length)
-        return {
-          deletedIds,
-          deniedIds: Array.isArray(response?.deniedIds) ? response.deniedIds : [],
-        }
-      }
-
       await Promise.all(ids.map(id => api.delete(`${apiEndpoint}/${id}`)))
       records.value = records.value.filter(r => !ids.includes(r.id!))
       totalCount.value = Math.max(0, totalCount.value - ids.length)
-      return {
-        deletedIds: ids,
-        deniedIds: [],
-      }
     } catch (e: any) {
       error.value = e.message
       console.error('Failed to delete records:', e)

frontend/layouts/default.vue

@@ -1,5 +1,5 @@
 <script setup lang="ts">
-import { onBeforeUnmount, onMounted, ref } from 'vue'
+import { ref } from 'vue'
 import AppSidebar from '@/components/AppSidebar.vue'
 import BottomDrawer from '@/components/BottomDrawer.vue'
 import {
@@ -15,9 +15,6 @@ import { SidebarInset, SidebarProvider, SidebarTrigger } from '@/components/ui/s
 
 const route = useRoute()
 const { breadcrumbs: customBreadcrumbs } = useBreadcrumbs()
-const drawerBounds = useState('bottomDrawerBounds', () => ({ left: 0, width: 0 }))
-const insetRef = ref<any>(null)
-let resizeObserver: ResizeObserver | null = null
 
 const breadcrumbs = computed(() => {
   // If custom breadcrumbs are set by the page, use those
@@ -33,47 +30,12 @@ const breadcrumbs = computed(() => {
     isLast: index === paths.length - 1,
   }))
 })
-
-const resolveInsetEl = (): HTMLElement | null => {
-  const maybeComponent = insetRef.value as any
-  if (!maybeComponent) return null
-  return maybeComponent.$el ? maybeComponent.$el as HTMLElement : (maybeComponent as HTMLElement)
-}
-
-const updateBounds = () => {
-  const el = resolveInsetEl()
-  if (!el || typeof el.getBoundingClientRect !== 'function') return
-  const rect = el.getBoundingClientRect()
-  drawerBounds.value = {
-    left: rect.left,
-    width: rect.width,
-  }
-}
-
-onMounted(() => {
-  updateBounds()
-  const el = resolveInsetEl()
-  if (el && 'ResizeObserver' in window) {
-    resizeObserver = new ResizeObserver(updateBounds)
-    resizeObserver.observe(el)
-  }
-  window.addEventListener('resize', updateBounds)
-})
-
-onBeforeUnmount(() => {
-  const el = resolveInsetEl()
-  if (resizeObserver && el) {
-    resizeObserver.unobserve(el)
-  }
-  resizeObserver = null
-  window.removeEventListener('resize', updateBounds)
-})
 </script>
 
 <template>
   <SidebarProvider>
     <AppSidebar />
-    <SidebarInset ref="insetRef" class="relative flex flex-col">
+    <SidebarInset class="flex flex-col">
       <header
         class="relative z-10 flex h-16 shrink-0 items-center gap-2 bg-background transition-[width,height] ease-linear group-has-data-[collapsible=icon]/sidebar-wrapper:h-12 border-b shadow-md"
       >
@@ -111,8 +73,7 @@ onBeforeUnmount(() => {
         <slot />
       </div>
 
-      <!-- Keep BottomDrawer bound to the inset width so it aligns with the sidebar layout -->
-      <BottomDrawer :bounds="drawerBounds" />
+      
     </SidebarInset>
   </SidebarProvider>
 </template>

frontend/nuxt.config.ts

@@ -26,8 +26,6 @@ export default defineNuxtConfig({
   runtimeConfig: {
     public: {
       apiBaseUrl: process.env.NUXT_PUBLIC_API_BASE_URL || 'http://localhost:3000',
-      aiProcessEditorUrl:
-        process.env.NUXT_PUBLIC_AI_PROCESS_EDITOR_URL || 'http://localhost:5174',
     },
   },
 

frontend/pages/[objectName]/[[recordId]]/[[view]].vue

@@ -6,14 +6,6 @@ import { useFields, useViewState } from '@/composables/useFieldViews'
 import ListView from '@/components/views/ListView.vue'
 import DetailView from '@/components/views/DetailViewEnhanced.vue'
 import EditView from '@/components/views/EditViewEnhanced.vue'
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogFooter,
-  DialogHeader,
-  DialogTitle,
-} from '@/components/ui/dialog'
 
 const route = useRoute()
 const router = useRouter()
@@ -153,17 +145,6 @@ const editConfig = computed(() => {
 
 const listPageSize = computed(() => listConfig.value?.pageSize ?? 25)
 const maxFrontendRecords = computed(() => listConfig.value?.maxFrontendRecords ?? 500)
-const searchQuery = ref('')
-const searchSummary = ref('')
-const searchLoading = ref(false)
-const deleteDialogOpen = ref(false)
-const deleteSubmitting = ref(false)
-const pendingDeleteRows = ref<any[]>([])
-const deleteSummary = ref<{ deletedIds: string[]; deniedIds: string[] } | null>(null)
-
-const isSearchActive = computed(() => searchQuery.value.trim().length > 0)
-const pendingDeleteCount = computed(() => pendingDeleteRows.value.length)
-const deniedDeleteCount = computed(() => deleteSummary.value?.deniedIds.length ?? 0)
 
 // Fetch object definition
 const fetchObjectDefinition = async () => {
@@ -208,42 +189,16 @@ const handleCreateRelated = (relatedObjectApiName: string, _parentId: string) =>
 }
 
 const handleDelete = async (rows: any[]) => {
-  pendingDeleteRows.value = rows
-  deleteSummary.value = null
-  deleteDialogOpen.value = true
-}
-
-const resetDeleteDialog = () => {
-  deleteDialogOpen.value = false
-  deleteSubmitting.value = false
-  pendingDeleteRows.value = []
-  deleteSummary.value = null
-}
-
-const confirmDelete = async () => {
-  if (pendingDeleteRows.value.length === 0) {
-    resetDeleteDialog()
-    return
-  }
-
-  deleteSubmitting.value = true
-  try {
-    const ids = pendingDeleteRows.value.map(r => r.id)
-    const result = await deleteRecords(ids)
-    const deletedIds = result?.deletedIds ?? []
-    const deniedIds = result?.deniedIds ?? []
-    deleteSummary.value = { deletedIds, deniedIds }
-
-    if (deniedIds.length === 0) {
-      resetDeleteDialog()
+  if (confirm(`Delete ${rows.length} record(s)? This action cannot be undone.`)) {
+    try {
+      const ids = rows.map(r => r.id)
+      await deleteRecords(ids)
       if (view.value !== 'list') {
         await router.push(`/${objectApiName.value.toLowerCase()}/`)
       }
+    } catch (e: any) {
+      error.value = e.message || 'Failed to delete records'
     }
-  } catch (e: any) {
-    error.value = e.message || 'Failed to delete records'
-  } finally {
-    deleteSubmitting.value = false
   }
 }
 
@@ -280,36 +235,6 @@ const loadListRecords = async (
   return result
 }
 
-const searchListRecords = async (
-  page = 1,
-  options?: { append?: boolean; pageSize?: number }
-) => {
-  if (!isSearchActive.value) {
-    return initializeListRecords()
-  }
-  searchLoading.value = true
-  try {
-    const pageSize = options?.pageSize ?? listPageSize.value
-    const response = await api.post('/ai/search', {
-      objectApiName: objectApiName.value,
-      query: searchQuery.value.trim(),
-      page,
-      pageSize,
-    })
-    const data = response?.data ?? []
-    const total = response?.totalCount ?? data.length
-    records.value = options?.append ? [...records.value, ...data] : data
-    totalCount.value = total
-    searchSummary.value = response?.explanation || ''
-    return response
-  } catch (e: any) {
-    error.value = e.message || 'Failed to search records'
-    return null
-  } finally {
-    searchLoading.value = false
-  }
-}
-
 const initializeListRecords = async () => {
   const firstResult = await loadListRecords(1)
   const resolvedTotal = firstResult?.totalCount ?? totalCount.value ?? records.value.length
@@ -322,10 +247,6 @@ const initializeListRecords = async () => {
 }
 
 const handlePageChange = async (page: number, pageSize: number) => {
-  if (isSearchActive.value) {
-    await searchListRecords(page, { append: page > 1, pageSize })
-    return
-  }
   const loadedPages = Math.ceil(records.value.length / pageSize)
   if (page > loadedPages && totalCount.value > records.value.length) {
     await loadListRecords(page, { append: true, pageSize })
@@ -333,24 +254,9 @@ const handlePageChange = async (page: number, pageSize: number) => {
 }
 
 const handleLoadMore = async (page: number, pageSize: number) => {
-  if (isSearchActive.value) {
-    await searchListRecords(page, { append: true, pageSize })
-    return
-  }
   await loadListRecords(page, { append: true, pageSize })
 }
 
-const handleSearch = async (query: string) => {
-  const trimmed = query.trim()
-  searchQuery.value = trimmed
-  if (!trimmed) {
-    searchSummary.value = ''
-    await initializeListRecords()
-    return
-  }
-  await searchListRecords(1, { append: false, pageSize: listPageSize.value })
-}
-
 // Watch for route changes
 watch(() => route.params, async (newParams, oldParams) => {
   // Reset current record when navigating to 'new'
@@ -419,16 +325,14 @@ onMounted(async () => {
         v-else-if="view === 'list' && listConfig"
         :config="listConfig"
         :data="records"
-        :loading="dataLoading || searchLoading"
+        :loading="dataLoading"
         :total-count="totalCount"
-        :search-summary="searchSummary"
         :base-url="`/runtime/objects`"
         selectable
         @row-click="handleRowClick"
         @create="handleCreate"
         @edit="handleEdit"
         @delete="handleDelete"
-        @search="handleSearch"
         @page-change="handlePageChange"
         @load-more="handleLoadMore"
       />
@@ -462,46 +366,6 @@ onMounted(async () => {
         @back="handleBack"
       />
     </div>
-
-    <Dialog v-model:open="deleteDialogOpen">
-      <DialogContent class="sm:max-w-[520px]">
-        <DialogHeader>
-          <DialogTitle>Delete records</DialogTitle>
-          <DialogDescription>
-            This action cannot be undone.
-          </DialogDescription>
-        </DialogHeader>
-
-        <div class="space-y-2 text-sm">
-          <p>
-            You are about to delete {{ pendingDeleteCount }} record<span v-if="pendingDeleteCount !== 1">s</span>.
-          </p>
-          <p v-if="deleteSummary" class="text-muted-foreground">
-            Deleted {{ deleteSummary.deletedIds.length }} record<span v-if="deleteSummary.deletedIds.length !== 1">s</span>.
-          </p>
-          <p v-if="deniedDeleteCount > 0" class="text-destructive">
-            {{ deniedDeleteCount }} record<span v-if="deniedDeleteCount !== 1">s</span> could not be deleted due to missing permissions.
-          </p>
-          <p v-if="!deleteSummary" class="text-muted-foreground">
-            Records you do not have permission to delete will be skipped.
-          </p>
-        </div>
-
-        <DialogFooter>
-          <Button variant="outline" @click="resetDeleteDialog" :disabled="deleteSubmitting">
-            {{ deleteSummary ? 'Close' : 'Cancel' }}
-          </Button>
-          <Button
-            v-if="!deleteSummary"
-            variant="destructive"
-            @click="confirmDelete"
-            :disabled="deleteSubmitting"
-          >
-            Delete
-          </Button>
-        </DialogFooter>
-      </DialogContent>
-    </Dialog>
   </NuxtLayout>
 </template>
 

frontend/pages/admin/ai-processes.vue

@@ -1,14 +0,0 @@
-<template>
-  <div class="space-y-6 p-6">
-    <div>
-      <h1 class="text-2xl font-semibold text-slate-900">
-        AI Process Builder
-      </h1>
-      <p class="text-sm text-slate-600">
-        Define tenant-scoped process graphs and publish versions for orchestration.
-      </p>
-    </div>
-
-    <ReactFlowIframe />
-  </div>
-</template>

frontend/pages/ai-processes/[id]/edit.vue

@@ -1,192 +0,0 @@
-<script setup lang="ts">
-import { Save, Play, ArrowLeft } from 'lucide-vue-next'
-import { Button } from '@/components/ui/button'
-import { Input } from '@/components/ui/input'
-import { Textarea } from '@/components/ui/textarea'
-import { Label } from '@/components/ui/label'
-import { useApi } from '@/composables/useApi'
-import { useRouter, useRoute } from 'vue-router'
-
-interface ProcessGraph {
-  id: string
-  name: string
-  description?: string
-  nodes: any[]
-  edges: any[]
-}
-
-const { api } = useApi()
-const router = useRouter()
-const route = useRoute()
-const processId = computed(() => route.params.id === 'new' ? null : String(route.params.id))
-
-const processName = ref('')
-const processDescription = ref('')
-const graphDefinition = ref<ProcessGraph | null>(null)
-const saving = ref(false)
-const loading = ref(true)
-
-const getTenantId = () => {
-  if (!import.meta.client) return 'tenant1'
-  return localStorage.getItem('tenantId') || 'tenant1'
-}
-
-const loadProcess = async () => {
-  if (!processId.value) {
-    loading.value = false
-    return
-  }
-
-  loading.value = true
-  try {
-    const data = await api.get(`/tenants/${getTenantId()}/ai-processes/${processId.value}`)
-    processName.value = data.name
-    processDescription.value = data.description || ''
-    
-    if (data.versions && data.versions.length > 0) {
-      const latestVersion = data.versions[data.versions.length - 1]
-      graphDefinition.value = latestVersion.graphJson
-      
-      // Send graph to iframe
-      sendGraphToEditor(latestVersion.graphJson)
-    }
-  } catch (error) {
-    console.error('Failed to load process:', error)
-    alert('Failed to load process')
-  } finally {
-    loading.value = false
-  }
-}
-
-const sendGraphToEditor = (graph: any) => {
-  const iframe = document.getElementById('process-editor-iframe') as HTMLIFrameElement
-  if (iframe && iframe.contentWindow) {
-    iframe.contentWindow.postMessage({
-      type: 'LOAD_GRAPH',
-      payload: graph
-    }, '*')
-  }
-}
-
-const saveProcess = async () => {
-  if (!processName.value.trim()) {
-    alert('Process name is required')
-    return
-  }
-
-  if (!graphDefinition.value) {
-    alert('Please design the process graph first')
-    return
-  }
-
-  saving.value = true
-  try {
-    if (processId.value) {
-      // Update existing process (create new version)
-      await api.post(`/tenants/${getTenantId()}/ai-processes/${processId.value}/versions`, {
-        graph: graphDefinition.value
-      })
-      alert('Process version saved successfully!')
-    } else {
-      // Create new process
-      const result = await api.post(`/tenants/${getTenantId()}/ai-processes`, {
-        name: processName.value,
-        description: processDescription.value,
-        graph: graphDefinition.value
-      })
-      alert('Process created successfully!')
-      router.push(`/ai-processes/${result.id}/edit`)
-    }
-  } catch (error: any) {
-    console.error('Failed to save process:', error)
-    alert(`Save failed: ${error.message || 'Unknown error'}`)
-  } finally {
-    saving.value = false
-  }
-}
-
-const testRun = async () => {
-  if (!processId.value) {
-    alert('Please save the process first')
-    return
-  }
-
-  try {
-    const result = await api.post(`/tenants/${getTenantId()}/ai-processes/${processId.value}/runs`, {
-      input: { test: true }
-    })
-    console.log('Test run result:', result)
-    alert('Test run started! Check the console for details.')
-  } catch (error: any) {
-    alert(`Test failed: ${error.message}`)
-  }
-}
-
-const handleEditorMessage = (event: MessageEvent) => {
-  if (event.data.type === 'GRAPH_UPDATED') {
-    graphDefinition.value = event.data.payload
-  }
-}
-
-onMounted(() => {
-  loadProcess()
-  window.addEventListener('message', handleEditorMessage)
-})
-
-onUnmounted(() => {
-  window.removeEventListener('message', handleEditorMessage)
-})
-</script>
-
-<template>
-  <div class="h-screen flex flex-col">
-    <!-- Header -->
-    <div class="border-b bg-background px-6 py-3 flex items-center justify-between">
-      <div class="flex items-center gap-4 flex-1">
-        <Button variant="ghost" size="icon" @click="router.push('/ai-processes')">
-          <ArrowLeft class="h-4 w-4" />
-        </Button>
-        <div class="flex-1 max-w-md">
-          <Input 
-            v-model="processName" 
-            placeholder="Process Name"
-            class="font-semibold"
-          />
-        </div>
-      </div>
-      <div class="flex items-center gap-2">
-        <Button variant="outline" @click="testRun" :disabled="!processId">
-          <Play class="h-4 w-4 mr-2" />
-          Test Run
-        </Button>
-        <Button @click="saveProcess" :disabled="saving">
-          <Save class="h-4 w-4 mr-2" />
-          {{ saving ? 'Saving...' : 'Save' }}
-        </Button>
-      </div>
-    </div>
-
-    <!-- Process Description -->
-    <div class="border-b bg-background px-6 py-2">
-      <Textarea 
-        v-model="processDescription" 
-        placeholder="Process description (optional)"
-        class="resize-none text-sm"
-        rows="2"
-      />
-    </div>
-
-    <!-- Editor Iframe -->
-    <div class="flex-1 relative">
-      <div v-if="loading" class="absolute inset-0 flex items-center justify-center bg-background/80">
-        <div class="animate-spin rounded-full h-8 w-8 border-b-2 border-primary"></div>
-      </div>
-      <iframe
-        id="process-editor-iframe"
-        src="/ai-processes-editor/index.html"
-        class="w-full h-full border-0"
-        title="Process Editor"
-      />
-    </div>
-  </div>
-</template>

frontend/pages/ai-processes/index.vue

@@ -1,133 +0,0 @@
-<script setup lang="ts">
-import { Plus, Workflow, Play } from 'lucide-vue-next'
-import { Button } from '@/components/ui/button'
-import { Card, CardContent, CardDescription, CardHeader, CardTitle } from '@/components/ui/card'
-import { Badge } from '@/components/ui/badge'
-import { useApi } from '@/composables/useApi'
-import { useRouter } from 'vue-router'
-
-interface Process {
-  id: string
-  name: string
-  description?: string
-  latestVersion: number
-  createdAt: string
-  versions?: any[]
-}
-
-const { api } = useApi()
-const router = useRouter()
-const processes = ref<Process[]>([])
-const loading = ref(true)
-
-const getTenantId = () => {
-  if (!import.meta.client) return 'tenant1'
-  return localStorage.getItem('tenantId') || 'tenant1'
-}
-
-const loadProcesses = async () => {
-  loading.value = true
-  try {
-    const data = await api.get(`/tenants/${getTenantId()}/ai-processes`)
-    processes.value = data || []
-  } catch (error) {
-    console.error('Failed to load processes:', error)
-  } finally {
-    loading.value = false
-  }
-}
-
-const createNewProcess = () => {
-  router.push('/ai-processes/new')
-}
-
-const editProcess = (processId: string) => {
-  router.push(`/ai-processes/${processId}/edit`)
-}
-
-const testProcess = async (processId: string) => {
-  try {
-    const result = await api.post(`/tenants/${getTenantId()}/ai-processes/${processId}/runs`, {
-      input: { test: true },
-    })
-    console.log('Test run result:', result)
-    alert('Process test started! Check console for details.')
-  } catch (error: any) {
-    alert(`Test failed: ${error.message}`)
-  }
-}
-
-onMounted(() => {
-  loadProcesses()
-})
-</script>
-
-<template>
-  <div class="container mx-auto p-6 space-y-6">
-    <div class="flex items-center justify-between">
-      <div>
-        <h1 class="text-3xl font-bold tracking-tight">AI Process Builder</h1>
-        <p class="text-muted-foreground mt-1">
-          Create and manage intelligent business process workflows
-        </p>
-      </div>
-      <Button @click="createNewProcess">
-        <Plus class="mr-2 h-4 w-4" />
-        New Process
-      </Button>
-    </div>
-
-    <div v-if="loading" class="flex items-center justify-center py-12">
-      <div class="animate-spin rounded-full h-8 w-8 border-b-2 border-primary"></div>
-    </div>
-
-    <div v-else-if="processes.length === 0" class="text-center py-12">
-      <Workflow class="mx-auto h-12 w-12 text-muted-foreground/50" />
-      <h3 class="mt-4 text-lg font-semibold">No processes yet</h3>
-      <p class="text-muted-foreground mt-1">
-        Get started by creating your first AI-powered business process
-      </p>
-      <Button @click="createNewProcess" class="mt-4">
-        <Plus class="mr-2 h-4 w-4" />
-        Create Process
-      </Button>
-    </div>
-
-    <div v-else class="grid gap-4 md:grid-cols-2 lg:grid-cols-3">
-      <Card 
-        v-for="process in processes" 
-        :key="process.id"
-        class="hover:shadow-lg transition-shadow cursor-pointer"
-        @click="editProcess(process.id)"
-      >
-        <CardHeader>
-          <div class="flex items-start justify-between">
-            <Workflow class="h-5 w-5 text-primary" />
-            <Badge variant="secondary">v{{ process.latestVersion }}</Badge>
-          </div>
-          <CardTitle class="mt-2">{{ process.name }}</CardTitle>
-          <CardDescription>{{ process.description || 'No description' }}</CardDescription>
-        </CardHeader>
-        <CardContent>
-          <div class="flex gap-2">
-            <Button 
-              size="sm" 
-              variant="outline" 
-              @click.stop="editProcess(process.id)"
-            >
-              Edit
-            </Button>
-            <Button 
-              size="sm" 
-              variant="ghost"
-              @click.stop="testProcess(process.id)"
-            >
-              <Play class="h-3 w-3 mr-1" />
-              Test
-            </Button>
-          </div>
-        </CardContent>
-      </Card>
-    </div>
-  </div>
-</template>