const db = require('../models'); const Users = db.users; const Agents = db.agents; const Conversations = db.conversations; const Messages = db.messages; const Attachments = db.attachments; const UsageEvents = db.usage_events; const AgentsData = [ { "name": "General Assistant", "description": "Helpful assistant for everyday questions and writing.", "model": "gpt-4.1-mini", "system_prompt": "You are a concise, accurate assistant. Ask clarifying questions when needed.", "temperature": 0.4, "max_output_tokens": 800, "is_default": true, "is_active": true, "metadata_json": "{category:general,version:1.0}", }, { "name": "Code Helper", "description": "Programming-focused agent for debugging and code reviews.", "model": "gpt-4.1-mini", "system_prompt": "You are a senior software engineer. Provide runnable examples and explain tradeoffs.", "temperature": 0.2, "max_output_tokens": 1200, "is_default": false, "is_active": true, "metadata_json": "{category:engineering,languages:[js,ts,python]}", }, { "name": "Product Writer", "description": "Agent for product copy, specs, and concise documentation.", "model": "gpt-4.1-mini", "system_prompt": "You write clear product documentation in a professional tone. Prefer bullets and headings.", "temperature": 0.6, "max_output_tokens": 900, "is_default": true, "is_active": true, "metadata_json": "{category:writing}", }, { "name": "Data Analyst", "description": "Agent for SQL, metrics, and analytical summaries.", "model": "gpt-4.1-mini", "system_prompt": "You are a data analyst. Provide step-by-step reasoning and validate assumptions.", "temperature": 0.3, "max_output_tokens": 1000, "is_default": false, "is_active": true, "metadata_json": "{category:analytics}", }, { "name": "Meeting Notes", "description": "Turns rough notes into structured summaries and action items.", "model": "gpt-4.1-mini", "system_prompt": "You create meeting summaries with decisions, risks, and action items.", "temperature": 0.5, "max_output_tokens": 700, "is_default": true, "is_active": true, "metadata_json": "{category:productivity}", }, ]; const ConversationsData = [ { // type code here for "relation_one" field // type code here for "relation_one" field "title": "Quarterly planning outline", "summary": "Drafting a Q3 planning outline for team priorities.", "status": "archived", "is_pinned": true, "last_message_at": new Date('2026-05-12T09:22:10Z'), "client_context_json": "{surface:workspace,device:desktop}", }, { // type code here for "relation_one" field // type code here for "relation_one" field "title": "Fixing a Node.js streaming bug", "summary": "Investigating streaming response handling in Node.", "status": "active", "is_pinned": false, "last_message_at": new Date('2026-05-11T17:12:40Z'), "client_context_json": "{surface:workspace,device:laptop}", }, { // type code here for "relation_one" field // type code here for "relation_one" field "title": "Rewrite onboarding email", "summary": "Improving clarity and tone for the welcome email.", "status": "active", "is_pinned": false, "last_message_at": new Date('2026-05-10T08:50:02Z'), "client_context_json": "{surface:workspace,device:tablet}", }, { // type code here for "relation_one" field // type code here for "relation_one" field "title": "Usage dashboard metrics ideas", "summary": "Defining useful metrics for usage and cost tracking.", "status": "deleted", "is_pinned": true, "last_message_at": new Date('2026-05-13T13:35:18Z'), "client_context_json": "{surface:workspace,device:desktop}", }, { // type code here for "relation_one" field // type code here for "relation_one" field "title": "Meeting recap formatting", "summary": "Converting raw notes into a clean recap format.", "status": "archived", "is_pinned": false, "last_message_at": new Date('2026-05-09T22:25:55Z'), "client_context_json": "{surface:workspace,device:mobile}", }, ]; const MessagesData = [ { // type code here for "relation_one" field // type code here for "relation_one" field "role": "tool", "content": "Help me draft a Q3 planning outline for an AI chat product. Include goals, initiatives, risks, and milestones.", "content_markdown": "Help me draft a Q3 planning outline for an AI chat product. Include goals, initiatives, risks, and milestones.", "tool_name": "none", "tool_call_json": "{}", "tool_result_json": "{}", "delivery_status": "completed", "sent_at": new Date('2026-05-12T09:15:10Z'), "completed_at": new Date('2026-05-12T09:15:25Z'), "sequence": 1, }, { // type code here for "relation_one" field // type code here for "relation_one" field "role": "assistant", "content": "Here is a concise Q3 planning outline with goals, initiatives, risks, and milestones.", "content_markdown": `## Goals - Improve chat reliability - Reduce latency ## Initiatives - Streaming transport hardening - Conversation search ## Risks - Model rate limits - Cost spikes ## Milestones - Week 2: telemetry - Week 6: search beta`, "tool_name": "none", "tool_call_json": "{}", "tool_result_json": "{}", "delivery_status": "completed", "sent_at": new Date('2026-05-12T09:15:26Z'), "completed_at": new Date('2026-05-12T09:15:55Z'), "sequence": 2, }, { // type code here for "relation_one" field // type code here for "relation_one" field "role": "user", "content": "My server streams tokens but the UI sometimes freezes. What should I check in a Node.js SSE setup?", "content_markdown": "My server streams tokens but the UI sometimes freezes. What should I check in a Node.js SSE setup?", "tool_name": "none", "tool_call_json": "{}", "tool_result_json": "{}", "delivery_status": "draft", "sent_at": new Date('2026-05-11T17:06:00Z'), "completed_at": new Date('2026-05-11T17:06:12Z'), "sequence": 1, }, { // type code here for "relation_one" field // type code here for "relation_one" field "role": "system", "content": "Check response headers, flushing, proxy buffering, and event parsing. Also verify backpressure and keep-alives.", "content_markdown": `Checklist: - Set Content-Type to text/event-stream - Disable proxy buffering - Send periodic heartbeats - Ensure client parser handles partial chunks - Watch Node backpressure`, "tool_name": "none", "tool_call_json": "{}", "tool_result_json": "{}", "delivery_status": "failed", "sent_at": new Date('2026-05-11T17:06:13Z'), "completed_at": new Date('2026-05-11T17:06:40Z'), "sequence": 2, }, { // type code here for "relation_one" field // type code here for "relation_one" field "role": "user", "content": "Suggest 8 metrics for an AI chat usage dashboard that help control cost and improve product decisions.", "content_markdown": "Suggest 8 metrics for an AI chat usage dashboard that help control cost and improve product decisions.", "tool_name": "none", "tool_call_json": "{}", "tool_result_json": "{}", "delivery_status": "streaming", "sent_at": new Date('2026-05-13T13:30:00Z'), "completed_at": new Date('2026-05-13T13:30:15Z'), "sequence": 1, }, ]; const AttachmentsData = [ { // type code here for "relation_one" field "kind": "image", // type code here for "files" field // type code here for "images" field "filename": "q3-planning-notes.txt", "mime_type": "text/plain", "size_bytes": 1842, "storage_key": "attachments/2026/05/q3-planning-notes.txt", "notes": "Initial notes used to draft the outline.", }, { // type code here for "relation_one" field "kind": "file", // type code here for "files" field // type code here for "images" field "filename": "sse-diagram.png", "mime_type": "image/png", "size_bytes": 245678, "storage_key": "attachments/2026/05/sse-diagram.png", "notes": "Reference diagram for SSE flow.", }, { // type code here for "relation_one" field "kind": "image", // type code here for "files" field // type code here for "images" field "filename": "metrics-draft.csv", "mime_type": "text/csv", "size_bytes": 9321, "storage_key": "attachments/2026/05/metrics-draft.csv", "notes": "Draft metrics list for review.", }, { // type code here for "relation_one" field "kind": "image", // type code here for "files" field // type code here for "images" field "filename": "product-brief.pdf", "mime_type": "application/pdf", "size_bytes": 512044, "storage_key": "attachments/2026/05/product-brief.pdf", "notes": "Background brief for planning.", }, { // type code here for "relation_one" field "kind": "file", // type code here for "files" field // type code here for "images" field "filename": "node-sse-checklist.md", "mime_type": "text/markdown", "size_bytes": 2204, "storage_key": "attachments/2026/05/node-sse-checklist.md", "notes": "Checklist to validate SSE streaming.", }, ]; const UsageEventsData = [ { // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field "event_type": "message_sent", "occurred_at": new Date('2026-05-12T09:15:10Z'), "input_tokens": 58, "output_tokens": 0, "total_tokens": 58, "cost_usd": 0.0006, "provider": "openai", "model": "gpt-4.1-mini", "metadata_json": "{region:us,transport:https}", }, { // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field "event_type": "attachment_uploaded", "occurred_at": new Date('2026-05-12T09:15:55Z'), "input_tokens": 58, "output_tokens": 210, "total_tokens": 268, "cost_usd": 0.0032, "provider": "openai", "model": "gpt-4.1-mini", "metadata_json": "{finish_reason:stop}", }, { // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field "event_type": "message_generated", "occurred_at": new Date('2026-05-11T17:06:00Z'), "input_tokens": 33, "output_tokens": 0, "total_tokens": 33, "cost_usd": 0.0003, "provider": "openai", "model": "gpt-4.1-mini", "metadata_json": "{surface:workspace}", }, { // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field "event_type": "message_generated", "occurred_at": new Date('2026-05-11T17:06:40Z'), "input_tokens": 33, "output_tokens": 140, "total_tokens": 173, "cost_usd": 0.0021, "provider": "openai", "model": "gpt-4.1-mini", "metadata_json": "{finish_reason:stop}", }, { // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field // type code here for "relation_one" field "event_type": "tokens_counted", "occurred_at": new Date('2026-05-13T13:30:15Z'), "input_tokens": 24, "output_tokens": 120, "total_tokens": 144, "cost_usd": 0.0018, "provider": "openai", "model": "gpt-4.1-mini", "metadata_json": "{billing:estimate}", }, ]; // Similar logic for "relation_many" async function associateConversationWithUser() { const relatedUser0 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Conversation0 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 0 }); if (Conversation0?.setUser) { await Conversation0. setUser(relatedUser0); } const relatedUser1 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Conversation1 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 1 }); if (Conversation1?.setUser) { await Conversation1. setUser(relatedUser1); } const relatedUser2 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Conversation2 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 2 }); if (Conversation2?.setUser) { await Conversation2. setUser(relatedUser2); } const relatedUser3 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Conversation3 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 3 }); if (Conversation3?.setUser) { await Conversation3. setUser(relatedUser3); } const relatedUser4 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Conversation4 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 4 }); if (Conversation4?.setUser) { await Conversation4. setUser(relatedUser4); } } async function associateConversationWithAgent() { const relatedAgent0 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const Conversation0 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 0 }); if (Conversation0?.setAgent) { await Conversation0. setAgent(relatedAgent0); } const relatedAgent1 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const Conversation1 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 1 }); if (Conversation1?.setAgent) { await Conversation1. setAgent(relatedAgent1); } const relatedAgent2 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const Conversation2 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 2 }); if (Conversation2?.setAgent) { await Conversation2. setAgent(relatedAgent2); } const relatedAgent3 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const Conversation3 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 3 }); if (Conversation3?.setAgent) { await Conversation3. setAgent(relatedAgent3); } const relatedAgent4 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const Conversation4 = await Conversations.findOne({ order: [['id', 'ASC']], offset: 4 }); if (Conversation4?.setAgent) { await Conversation4. setAgent(relatedAgent4); } } async function associateMessageWithConversation() { const relatedConversation0 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const Message0 = await Messages.findOne({ order: [['id', 'ASC']], offset: 0 }); if (Message0?.setConversation) { await Message0. setConversation(relatedConversation0); } const relatedConversation1 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const Message1 = await Messages.findOne({ order: [['id', 'ASC']], offset: 1 }); if (Message1?.setConversation) { await Message1. setConversation(relatedConversation1); } const relatedConversation2 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const Message2 = await Messages.findOne({ order: [['id', 'ASC']], offset: 2 }); if (Message2?.setConversation) { await Message2. setConversation(relatedConversation2); } const relatedConversation3 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const Message3 = await Messages.findOne({ order: [['id', 'ASC']], offset: 3 }); if (Message3?.setConversation) { await Message3. setConversation(relatedConversation3); } const relatedConversation4 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const Message4 = await Messages.findOne({ order: [['id', 'ASC']], offset: 4 }); if (Message4?.setConversation) { await Message4. setConversation(relatedConversation4); } } async function associateMessageWithAuthor_user() { const relatedAuthor_user0 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Message0 = await Messages.findOne({ order: [['id', 'ASC']], offset: 0 }); if (Message0?.setAuthor_user) { await Message0. setAuthor_user(relatedAuthor_user0); } const relatedAuthor_user1 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Message1 = await Messages.findOne({ order: [['id', 'ASC']], offset: 1 }); if (Message1?.setAuthor_user) { await Message1. setAuthor_user(relatedAuthor_user1); } const relatedAuthor_user2 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Message2 = await Messages.findOne({ order: [['id', 'ASC']], offset: 2 }); if (Message2?.setAuthor_user) { await Message2. setAuthor_user(relatedAuthor_user2); } const relatedAuthor_user3 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Message3 = await Messages.findOne({ order: [['id', 'ASC']], offset: 3 }); if (Message3?.setAuthor_user) { await Message3. setAuthor_user(relatedAuthor_user3); } const relatedAuthor_user4 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const Message4 = await Messages.findOne({ order: [['id', 'ASC']], offset: 4 }); if (Message4?.setAuthor_user) { await Message4. setAuthor_user(relatedAuthor_user4); } } async function associateAttachmentWithMessage() { const relatedMessage0 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const Attachment0 = await Attachments.findOne({ order: [['id', 'ASC']], offset: 0 }); if (Attachment0?.setMessage) { await Attachment0. setMessage(relatedMessage0); } const relatedMessage1 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const Attachment1 = await Attachments.findOne({ order: [['id', 'ASC']], offset: 1 }); if (Attachment1?.setMessage) { await Attachment1. setMessage(relatedMessage1); } const relatedMessage2 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const Attachment2 = await Attachments.findOne({ order: [['id', 'ASC']], offset: 2 }); if (Attachment2?.setMessage) { await Attachment2. setMessage(relatedMessage2); } const relatedMessage3 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const Attachment3 = await Attachments.findOne({ order: [['id', 'ASC']], offset: 3 }); if (Attachment3?.setMessage) { await Attachment3. setMessage(relatedMessage3); } const relatedMessage4 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const Attachment4 = await Attachments.findOne({ order: [['id', 'ASC']], offset: 4 }); if (Attachment4?.setMessage) { await Attachment4. setMessage(relatedMessage4); } } async function associateUsageEventWithUser() { const relatedUser0 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const UsageEvent0 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 0 }); if (UsageEvent0?.setUser) { await UsageEvent0. setUser(relatedUser0); } const relatedUser1 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const UsageEvent1 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 1 }); if (UsageEvent1?.setUser) { await UsageEvent1. setUser(relatedUser1); } const relatedUser2 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const UsageEvent2 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 2 }); if (UsageEvent2?.setUser) { await UsageEvent2. setUser(relatedUser2); } const relatedUser3 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const UsageEvent3 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 3 }); if (UsageEvent3?.setUser) { await UsageEvent3. setUser(relatedUser3); } const relatedUser4 = await Users.findOne({ offset: Math.floor(Math.random() * (await Users.count())), }); const UsageEvent4 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 4 }); if (UsageEvent4?.setUser) { await UsageEvent4. setUser(relatedUser4); } } async function associateUsageEventWithConversation() { const relatedConversation0 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const UsageEvent0 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 0 }); if (UsageEvent0?.setConversation) { await UsageEvent0. setConversation(relatedConversation0); } const relatedConversation1 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const UsageEvent1 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 1 }); if (UsageEvent1?.setConversation) { await UsageEvent1. setConversation(relatedConversation1); } const relatedConversation2 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const UsageEvent2 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 2 }); if (UsageEvent2?.setConversation) { await UsageEvent2. setConversation(relatedConversation2); } const relatedConversation3 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const UsageEvent3 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 3 }); if (UsageEvent3?.setConversation) { await UsageEvent3. setConversation(relatedConversation3); } const relatedConversation4 = await Conversations.findOne({ offset: Math.floor(Math.random() * (await Conversations.count())), }); const UsageEvent4 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 4 }); if (UsageEvent4?.setConversation) { await UsageEvent4. setConversation(relatedConversation4); } } async function associateUsageEventWithMessage() { const relatedMessage0 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const UsageEvent0 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 0 }); if (UsageEvent0?.setMessage) { await UsageEvent0. setMessage(relatedMessage0); } const relatedMessage1 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const UsageEvent1 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 1 }); if (UsageEvent1?.setMessage) { await UsageEvent1. setMessage(relatedMessage1); } const relatedMessage2 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const UsageEvent2 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 2 }); if (UsageEvent2?.setMessage) { await UsageEvent2. setMessage(relatedMessage2); } const relatedMessage3 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const UsageEvent3 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 3 }); if (UsageEvent3?.setMessage) { await UsageEvent3. setMessage(relatedMessage3); } const relatedMessage4 = await Messages.findOne({ offset: Math.floor(Math.random() * (await Messages.count())), }); const UsageEvent4 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 4 }); if (UsageEvent4?.setMessage) { await UsageEvent4. setMessage(relatedMessage4); } } async function associateUsageEventWithAgent() { const relatedAgent0 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const UsageEvent0 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 0 }); if (UsageEvent0?.setAgent) { await UsageEvent0. setAgent(relatedAgent0); } const relatedAgent1 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const UsageEvent1 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 1 }); if (UsageEvent1?.setAgent) { await UsageEvent1. setAgent(relatedAgent1); } const relatedAgent2 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const UsageEvent2 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 2 }); if (UsageEvent2?.setAgent) { await UsageEvent2. setAgent(relatedAgent2); } const relatedAgent3 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const UsageEvent3 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 3 }); if (UsageEvent3?.setAgent) { await UsageEvent3. setAgent(relatedAgent3); } const relatedAgent4 = await Agents.findOne({ offset: Math.floor(Math.random() * (await Agents.count())), }); const UsageEvent4 = await UsageEvents.findOne({ order: [['id', 'ASC']], offset: 4 }); if (UsageEvent4?.setAgent) { await UsageEvent4. setAgent(relatedAgent4); } } module.exports = { up: async (queryInterface, Sequelize) => { await Agents.bulkCreate(AgentsData); await Conversations.bulkCreate(ConversationsData); await Messages.bulkCreate(MessagesData); await Attachments.bulkCreate(AttachmentsData); await UsageEvents.bulkCreate(UsageEventsData); await Promise.all([ // Similar logic for "relation_many" await associateConversationWithUser(), await associateConversationWithAgent(), await associateMessageWithConversation(), await associateMessageWithAuthor_user(), await associateAttachmentWithMessage(), await associateUsageEventWithUser(), await associateUsageEventWithConversation(), await associateUsageEventWithMessage(), await associateUsageEventWithAgent(), ]); }, down: async (queryInterface, Sequelize) => { await queryInterface.bulkDelete('agents', null, {}); await queryInterface.bulkDelete('conversations', null, {}); await queryInterface.bulkDelete('messages', null, {}); await queryInterface.bulkDelete('attachments', null, {}); await queryInterface.bulkDelete('usage_events', null, {}); }, };