wehub-resource-sync
181 lines
8.5 KiB
JSON
181 lines
8.5 KiB
JSON
{
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"fixtures": [
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{
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"match": { "toolCallId": "call_manage_todos_001" },
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"response": {
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"content": "I've added the tasks to your todo list:\n\n1. **Read the docs** - Read the CopilotKit documentation\n2. **Build a prototype** - Build a small CopilotKit prototype\n3. **Explore agent state** - Explore CopilotKit shared agent state\n\nAll three tasks are currently pending. Would you like to modify any of them or add more tasks?"
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}
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},
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{
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"match": { "toolCallId": "call_get_todos_001" },
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"response": {
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"content": "Here are your current todos:\n\n1. **Review project plan** - Go through the Q2 project plan and provide feedback (pending)\n2. **Update documentation** - Update the API docs with the new endpoints (pending)\n\nYou have 2 tasks, both pending. Would you like to update or add any tasks?"
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}
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},
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{
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"match": { "toolCallId": "call_query_data_pie_001" },
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"response": {
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"toolCalls": [
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{
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"name": "pieChart",
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"arguments": "{\"title\":\"Revenue Distribution by Category\",\"description\":\"Share of total revenue across product categories\",\"data\":[{\"label\":\"Enterprise\",\"value\":2100000},{\"label\":\"Mid-Market\",\"value\":1500000},{\"label\":\"SMB\",\"value\":1200000},{\"label\":\"Self-Serve\",\"value\":800000}]}",
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"id": "call_pie_chart_001"
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}
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]
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}
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},
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{
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"match": { "toolCallId": "call_query_data_bar_001" },
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"response": {
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"toolCalls": [
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{
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"name": "barChart",
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"arguments": "{\"title\":\"Expenses by Category\",\"description\":\"Operating expenses across the business\",\"data\":[{\"label\":\"Salaries\",\"value\":1800000},{\"label\":\"Infrastructure\",\"value\":640000},{\"label\":\"Marketing\",\"value\":420000},{\"label\":\"R&D\",\"value\":520000},{\"label\":\"Operations\",\"value\":310000}]}",
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"id": "call_bar_chart_001"
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}
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]
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}
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},
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{
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"match": { "toolCallId": "call_pie_chart_001" },
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"response": {
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"content": "Here's the revenue distribution as a pie chart. Enterprise leads at $2.1M, followed by Mid-Market ($1.5M), SMB ($1.2M), and Self-Serve ($0.8M). Want me to break any segment down further?"
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}
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},
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{
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"match": { "toolCallId": "call_bar_chart_001" },
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"response": {
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"content": "Here's the expense breakdown as a bar chart. Salaries are the largest line at $1.8M, with Infrastructure ($0.64M), R&D ($0.52M), Marketing ($0.42M), and Operations ($0.31M) following. Want to compare this against revenue?"
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}
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},
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{
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"match": { "toolCallId": "call_query_data_dashboard_001" },
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"response": {
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"content": "Here's your sales dashboard:\n\n- **Total Revenue**: $6.6M (up 20% QoQ)\n- **New Customers**: 1,240\n- **Conversion Rate**: 3.8%\n\nRevenue is trending up steadily across all four quarters. Want me to drill into any of these metrics?"
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}
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},
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{
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"match": { "toolCallId": "call_query_data_001" },
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"response": {
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"content": "Here's a summary of the financial data:\n\n- **Q1 Revenue**: $1.2M\n- **Q2 Revenue**: $1.5M\n- **Q3 Revenue**: $1.8M\n- **Q4 Revenue**: $2.1M\n\nTotal annual revenue: $6.6M, showing steady quarter-over-quarter growth of approximately 20%. Would you like me to visualize this data differently?"
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}
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},
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{
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"match": { "toolCallId": "call_schedule_time_001" },
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"response": {
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"content": "Your 30-minute meeting to learn about CopilotKit is scheduled. I've added it to your calendar — let me know if you'd like to change the time."
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}
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},
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{
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"match": { "userMessage": "pie chart of our revenue" },
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"response": {
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"toolCalls": [
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{
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"name": "query_data",
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"arguments": "{\"query\":\"Show revenue distribution by category as a pie chart\"}",
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"id": "call_query_data_pie_001"
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}
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]
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}
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},
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{
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"match": { "userMessage": "bar chart of our expenses" },
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"response": {
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"toolCalls": [
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{
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"name": "query_data",
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"arguments": "{\"query\":\"Show expenses by category as a bar chart\"}",
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"id": "call_query_data_bar_001"
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}
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]
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}
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},
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{
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"match": {
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"userMessage": "schedule a 30-minute meeting to learn about CopilotKit"
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},
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"response": {
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"toolCalls": [
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{
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"name": "scheduleTime",
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"arguments": "{\"reasonForScheduling\":\"Learn about CopilotKit\",\"meetingDuration\":30}",
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"id": "call_schedule_time_001"
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}
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]
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}
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},
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{
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"match": { "userMessage": "flights from SFO to JFK" },
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"response": {
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"content": "I found a few options for flights from SFO to JFK next Tuesday:\n\n- **UA 1234** — departs 7:30 AM, arrives 4:05 PM, 1 stop, $312\n- **DL 5678** — departs 10:15 AM, arrives 6:50 PM, nonstop, $389\n- **AA 9012** — departs 1:40 PM, arrives 10:20 PM, nonstop, $415\n\nWould you like me to hold one of these for you?"
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}
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},
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{
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"match": {
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"userMessage": "sales dashboard with total revenue, new customers, and conversion rate"
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},
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"response": {
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"toolCalls": [
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{
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"name": "query_data",
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"arguments": "{\"query\":\"Fetch financial sales data for a sales dashboard with revenue, customers, and conversion rate\"}",
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"id": "call_query_data_dashboard_001"
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}
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]
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}
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},
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{
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"match": {
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"userMessage": "Use Excalidraw to create a simple network diagram"
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},
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"response": {
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"content": "Here's a simple network diagram for your topology:\n\n```\n [Router]\n / \\\n [Switch A] [Switch B]\n / \\ / \\\n [PC 1] [PC 2] [PC 3] [PC 4]\n```\n\nThe router connects to two switches, and each switch connects to two computers. In the live demo this renders as an interactive Excalidraw diagram via the Excalidraw MCP app."
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}
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},
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{
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"match": { "userMessage": "build a modern calculator" },
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"response": {
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"content": "Here's the plan for your generative calculator app:\n\n- **Standard keypad** — digits 0-9, decimal point, and the four operators (+, -, ×, ÷) with clear and equals.\n- **Metric shortcut buttons** — labeled chips for **Total Revenue ($6.6M)**, **New Customers (1,240)**, and **Conversion Rate (3.8%)** that insert their value into the display when clicked.\n- **Live display** — shows the running expression and result.\n\nIn the live demo this renders as a fully interactive sandboxed UI via the generateSandboxedUi tool."
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}
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},
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{
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"match": {
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"userMessage": "Toggle the app theme using the toggleTheme tool"
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},
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"response": {
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"toolCalls": [
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{
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"name": "toggleTheme",
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"arguments": "{}",
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"id": "call_toggle_theme_001"
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}
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]
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}
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},
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{
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"match": { "userMessage": "add three todos about learning CopilotKit" },
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"response": {
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"toolCalls": [
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{
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"name": "manage_todos",
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"arguments": "{\"todos\":[{\"title\":\"Read the docs\",\"description\":\"Read the CopilotKit documentation\",\"emoji\":\"📚\",\"status\":\"pending\"},{\"title\":\"Build a prototype\",\"description\":\"Build a small CopilotKit prototype\",\"emoji\":\"🛠️\",\"status\":\"pending\"},{\"title\":\"Explore agent state\",\"description\":\"Explore CopilotKit shared agent state\",\"emoji\":\"🧠\",\"status\":\"pending\"}]}",
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"id": "call_manage_todos_001"
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}
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]
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}
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},
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{
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"match": { "userMessage": "Hello" },
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"response": {
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"content": "Hello! I'm your todo app assistant. I can help you manage your tasks, query data, and more. Here's what I can do:\n\n- **Manage Todos** - Add, update, or remove tasks\n- **View Todos** - See your current task list\n- **Query Data** - Look up and analyze data\n- **Search Flights** - Find flight information\n\nWhat would you like to do today?"
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}
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},
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{
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"match": {},
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"response": {
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"content": "You're currently running against aimock (a mock LLM server). This response is a catch-all for requests that don't match any test fixture. To use a real LLM: (1) Add your OPENAI_API_KEY to .env, (2) Remove or unset OPENAI_BASE_URL from your environment so requests go to OpenAI instead of aimock, (3) Restart with `npm run dev`."
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}
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}
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]
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}
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