Hi

\"\n});\n```\n\n## Val Town Utility Functions\n\nVal Town provides several utility functions to help with common project tasks.\n\n### Importing Utilities\n\nAlways import utilities with version pins to avoid breaking changes:\n\n```ts\nimport { parseProject, readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n```\n\n### Available Utilities\n\n\n#### **serveFile** - Serve project files with proper content types\n\nFor example, in Hono:\n\n```ts\n// serve all files in frontend/ and shared/\napp.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n```\n\n#### **readFile** - Read files from within the project:\n\n```ts\n// Read a file from the project\nconst fileContent = await readFile(\"/frontend/index.html\", import.meta.url);\n```\n\n#### **listFiles** - List all files in the project\n\n```ts\nconst files = await listFiles(import.meta.url);\n```\n\n#### **parseProject** - Extract information about the current project from import.meta.url\n\nThis is useful for including info for linking back to a val, ie in \"view source\" urls:\n\n```ts\nconst projectVal = parseProject(import.meta.url);\nconsole.log(projectVal.username); // Owner of the project\nconsole.log(projectVal.name); // Project name\nconsole.log(projectVal.version); // Version number\nconsole.log(projectVal.branch); // Branch name\nconsole.log(projectVal.links.self.project); // URL to the project page\n```\n\nHowever, it's *extremely importing* to note that `parseProject` and other Standard Library utilities ONLY RUN ON THE SERVER.\nIf you need access to this data on the client, run it in the server and pass it to the client by splicing it into the HTML page\nor by making an API request for it.\n\n## Val Town Platform Specifics\n\n- **Redirects:** Use `return new Response(null, { status: 302, headers: { Location: \"/place/to/redirect\" }})` instead of `Response.redirect` which is broken\n- **Images:** Avoid external images or base64 images. Use emojis, unicode symbols, or icon fonts/libraries instead\n- **AI Image:** To inline generate an AI image use: `

`\n- **Storage:** DO NOT use the Deno KV module for storage\n- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods\n- **Weather Data:** Use open-meteo for weather data (doesn't require API keys) unless otherwise specified\n- **View Source:** Add a view source link by importing & using `import.meta.url.replace(\"ems.sh\", \"val.town)\"` (or passing this data to the client) and include `target=\"_top\"` attribute\n- **Error Debugging:** Add `` to HTML to capture client-side errors\n- **Error Handling:** Only use try...catch when there's a clear local resolution; Avoid catches that merely log or return 500s. Let errors bubble up with full context\n- **Environment Variables:** Use `Deno.env.get('keyname')` when you need to, but generally prefer APIs that don't require keys\n- **Imports:** Use `https://esm.sh` for npm and Deno dependencies to ensure compatibility on server and browser\n- **Storage Strategy:** Only use backend storage if explicitly required; prefer simple static client-side sites\n- **React Configuration:** When using React libraries, pin versions with `?deps=react@18.2.0,react-dom@18.2.0` and start the file with `/** @jsxImportSource https://esm.sh/react@18.2.0 */`\n- Ensure all React dependencies and sub-dependencies are pinned to the same version\n- **Styling:** Default to using TailwindCSS via `` unless otherwise specified\n\n## Project Structure and Design Patterns\n\n### Recommended Directory Structure\n```\n├── backend/\n│ ├── database/\n│ │ ├── migrations.ts # Schema definitions\n│ │ ├── queries.ts # DB query functions\n│ │ └── README.md\n│ └── routes/ # Route modules\n│ ├── [route].ts\n│ └── static.ts # Static file serving\n│ ├── index.ts # Main entry point\n│ └── README.md\n├── frontend/\n│ ├── components/\n│ │ ├── App.tsx\n│ │ └── [Component].tsx\n│ ├── favicon.svg\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # Frontend JS entry point\n│ ├── README.md\n│ └── style.css\n├── README.md\n└── shared/\n ├── README.md\n └── utils.ts # Shared types and functions\n```\n\n### Backend (Hono) Best Practices\n\n- Hono is the recommended API framework\n- Main entry point should be `backend/index.ts`\n- **Static asset serving:** Use the utility functions to read and serve project files:\n ```ts\n import { readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n \n // serve all files in frontend/ and shared/\n app.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\n app.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n \n // For index.html, often you'll want to bootstrap with initial data\n app.get(\"/\", async c => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n \n // Inject data to avoid extra round-trips\n const initialData = await fetchInitialData();\n const dataScript = ``;\n \n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n });\n ```\n- Create RESTful API routes for CRUD operations\n- Always include this snippet at the top-level Hono app to re-throwing errors to see full stack traces:\n ```ts\n // Unwrap Hono errors to see original error details\n app.onError((err, c) => {\n throw err;\n });\n ```\n\n### Database Patterns\n- Run migrations on startup or comment out for performance\n- Change table names when modifying schemas rather than altering\n- Export clear query functions with proper TypeScript typing\n\n## Common Gotchas and Solutions\n\n1. **Environment Limitations:** \n - Val Town runs on Deno in a serverless context, not Node.js\n - Code in `shared/` must work in both frontend and backend environments\n - Cannot use `Deno` keyword in shared code\n - Use `https://esm.sh` for imports that work in both environments\n\n2. **SQLite Peculiarities:**\n - Limited support for ALTER TABLE operations\n - Create new tables with updated schemas and copy data when needed\n - Always run table creation before querying\n\n3. **React Configuration:**\n - All React dependencies must be pinned to 18.2.0\n - Always include `@jsxImportSource https://esm.sh/react@18.2.0` at the top of React files\n - Rendering issues often come from mismatched React versions\n\n4. **File Handling:**\n - Val Town only supports text files, not binary\n - Use the provided utilities to read files across branches and forks\n - For files in the project, use `readFile` helpers\n\n5. **API Design:**\n - `fetch` handler is the entry point for HTTP vals\n - Run the Hono app with `export default app.fetch // This is the entry point for HTTP vals`\n\n",[],[189],{"_103":197,"_95":198,"_152":199,"_154":-5,"_155":137,"_156":200,"_158":159,"_105":201,"_100":202,"_161":173,"_163":203,"_164":22,"_165":-5,"_166":204,"_98":205},"c04160c0-d097-11f0-abcf-42dde27851f2","DEPLOYMENT.md","6798e0e8-d096-11f0-be0e-42dde27851f2",12,["D",1764801063251],1,"# Val Town Deployment Guide\n\nThis guide provides step-by-step instructions for deploying the Grok X User Search val to Val Town.\n\n## Prerequisites\n\n1. **Val Town CLI**: Install the Val Town CLI\n ```bash\n npm install -g @val-town/cli\n ```\n\n2. **API Key**: Get your xAI API key from [x.ai](https://x.ai)\n - Sign up for xAI account\n - Navigate to API section\n - Generate your API key\n\n## Deployment Methods\n\n### Method 1: Create New Val (Recommended)\n\n#### Step 1: Navigate to Project Directory\n```bash\ncd /home/didierlacroix1/containers/val-town/individual_vals/grok_user_search\n```\n\n#### Step 2: Create New Val\n```bash\nvt create grokUserSearch\n```\n**Note**: This will prompt asking if you want to use existing files. Type `y` to continue.\n\n#### Step 3: Push Code to Val Town\n```bash\nvt push\n```\n\n#### Step 4: Set Environment Variable\nGo to your Val Town dashboard → Settings → Environment Variables and add:\n- **Key**: `XAI_API_KEY`\n- **Value**: Your xAI API key\n\n### Method 2: Create from Empty Directory\n\n#### Step 1: Create Empty Val\n```bash\ncd /home/didierlacroix1/containers/val-town/individual_vals\nmkdir grok_search_empty\ncd grok_search_empty\nvt create grokUserSearch\n```\n\n#### Step 2: Copy Files\n```bash\ncp ../grok_user_search/* .\n```\n\n#### Step 3: Push to Val Town\n```bash\nvt push\n```\n\n### Method 3: Manual Upload\n\n1. **Create New Val** in Val Town web interface\n2. **Upload Files** manually:\n - `main.ts`\n - `grok_client.ts`\n - `types.ts`\n - `deno.json`\n - `index.html` (Web UI)\n\n## Post-Deployment Configuration\n\n### 1. Environment Variables\nIn Val Town dashboard, set:\n```\nXAI_API_KEY=your_xai_api_key_here\n```\n\n### 2. Test the Val\n\n**Web Interface (Recommended):**\nVisit your val's URL in a web browser:\n```\nhttps://your-username-grokUserSearch.web.val.run\n```\n\n**API Test:**\n```bash\ncurl -X POST https://your-username-grokUserSearch.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"query\": \"find all the latest prompts mentioned\",\n \"targetUser\": \"dl4senses\"\n }'\n```\n\n### 3. Verify Setup\n- Check val runs without errors\n- Test with different queries\n- Verify API responses include citations\n\n## Development Workflow\n\n### Local Development\n```bash\ncd /home/didierlacroix1/containers/val-town/individual_vals/grok_user_search\nvt watch\n```\nThis will automatically sync changes to Val Town.\n\n### Making Updates\n1. Edit files locally\n2. `vt push` to upload changes\n3. Test the updated val\n\n### Pulling Changes from Val Town\n```bash\nvt pull\n```\n\n## Common Issues & Solutions\n\n### Issue: \"Directory not empty\" Error\n**Solution**: This is expected - type `y` when prompted to continue with existing files.\n\n### Issue: API Key Not Found\n**Solution**: Ensure `XAI_API_KEY` is set in Val Town dashboard → Settings → Environment Variables.\n\n### Issue: Import Errors\n**Solution**: Check that all TypeScript imports are correct and files exist in the val.\n\n### Issue: CORS Errors\n**Solution**: The code includes CORS headers, but verify your browser isn't blocking requests.\n\n## API Usage Examples\n\n### Basic Search\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"query\": \"latest AI developments\",\n \"maxResults\": 10\n }'\n```\n\n### Target User Search\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"query\": \"find all the latest prompts mentioned by @dl4senses\",\n \"targetUser\": \"dl4senses\",\n \"includeMedia\": true\n }'\n```\n\n### Date Range Search\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"query\": \"AI breakthroughs\",\n \"dateRange\": {\n \"from\": \"2025-01-01\",\n \"to\": \"2025-01-15\"\n }\n }'\n```\n\n## Monitoring & Logs\n\n### View Val Logs\nIn Val Town dashboard:\n1. Go to your val\n2. Click \"Logs\" tab\n3. View request logs and error messages\n\n### Monitor API Usage\nCheck xAI dashboard for:\n- API request counts\n- Token usage\n- Rate limiting\n\n## Security Considerations\n\n1. **API Key Security**: Never commit API keys to code\n2. **Input Validation**: Code includes input sanitization\n3. **Rate Limiting**: Monitor and respect xAI rate limits\n4. **Error Handling**: Errors don't expose sensitive information\n\n## Scaling & Performance\n\n- The val runs serverless on Val Town\n- xAI handles the heavy processing\n- Consider response times for complex queries\n- Monitor token usage for cost management\n\n## Support\n\nFor issues:\n- **Val Town Issues**: Check Val Town documentation\n- **xAI API Issues**: Check x.ai documentation\n- **Code Issues**: Review implementation and test locally\n\n## Next Steps\n\nAfter successful deployment:\n1. Test with various queries\n2. Monitor API usage and costs\n3. Consider adding caching for repeated queries\n4. Implement rate limiting if needed\n5. Add analytics for query patterns",[],[198],{"_103":207,"_95":208,"_152":209,"_154":-5,"_155":137,"_156":210,"_158":159,"_105":211,"_100":202,"_161":173,"_163":212,"_164":22,"_165":-5,"_166":213,"_98":214},"c04a1af8-d097-11f0-bc9c-42dde27851f2","README.md","6792d7d4-d096-11f0-929e-42dde27851f2",14,["D",1764801063239],"# Grok X User Search\n\nA Val Town application that uses xAI's Grok API to search and retrieve information from X (Twitter) users.\n\n## Features\n\n- 🌐 **Web Interface**: User-friendly HTML frontend\n- 🔍 **Natural Language Search**: Query X posts using conversational language\n- 👥 **Target Users**: Focus on specific users or general searches\n- 📅 **Date Filtering**: Search within specific time ranges\n- 🖼️ **Media Analysis**: Include image and video analysis\n- 🔗 **Citations**: Get source links for all results\n- 🚀 **Fast API**: Direct JSON API for programmatic access\n\n## Usage\n\n### Web Interface (Recommended)\n\nSimply visit your val's URL in a web browser:\n```\nhttps://your-val-url.web.val.run\n```\n\nThe web interface provides:\n- Intuitive form with all search options\n- Real-time loading states\n- Formatted result display\n- Example search buttons\n- Mobile-responsive design\n\n### API Endpoint\n\nSend POST requests to the val's URL:\n\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"query\": \"find all the latest prompts mentioned\",\n \"targetUser\": \"dl4senses\"\n }'\n```\n\n### Request Parameters\n\n- `query` (required): Natural language search query\n- `targetUser` (optional): Specific X handle to search (without @)\n- `dateRange` (optional): Object with `from` and `to` dates (ISO8601 format)\n- `includeMedia` (optional): Enable image/video analysis (default: false)\n- `maxResults` (optional): Limit number of results\n\n### Example Requests\n\n#### Search specific user for prompts\n```json\n{\n \"query\": \"find all the latest prompts mentioned\",\n \"targetUser\": \"dl4senses\",\n \"includeMedia\": true\n}\n```\n\n#### General search with date range\n```json\n{\n \"query\": \"latest AI developments and machine learning breakthroughs\",\n \"dateRange\": {\n \"from\": \"2025-01-01\",\n \"to\": \"2025-01-15\"\n }\n}\n```\n\n#### Search without media analysis\n```json\n{\n \"query\": \"popular coding tutorials\",\n \"maxResults\": 10\n}\n```\n\n### Response Format\n\n```json\n{\n \"success\": true,\n \"data\": {\n \"summary\": \"Comprehensive answer to your query...\",\n \"posts\": [\n {\n \"id\": \"1234567890\",\n \"text\": \"Post content...\",\n \"author\": \"username\",\n \"timestamp\": \"2025-01-01T12:00:00Z\",\n \"url\": \"https://x.com/username/status/1234567890\"\n }\n ],\n \"citations\": [\n \"https://x.com/username/status/1234567890\"\n ],\n \"metadata\": {\n \"model\": \"grok-4-fast\",\n \"usage\": {\n \"prompt_tokens\": 100,\n \"completion_tokens\": 200,\n \"total_tokens\": 300\n },\n \"searchTime\": 2500\n }\n }\n}\n```\n\n## Setup\n\n### Environment Variables\n\nSet the following environment variable in your Val Town dashboard:\n\n- `XAI_API_KEY`: Your xAI API key (required)\n\n### Deployment\n\n1. Create a new val in Val Town\n2. Upload the files from this directory\n3. Set the `XAI_API_KEY` environment variable\n4. Test with the example requests above\n\n## API Details\n\nThis application uses:\n\n- **Model**: `grok-4-fast` - Fast reasoning model optimized for search\n- **Tools**: X Search with optional web search\n- **Rate Limits**: Respects xAI API rate limits\n\n## Error Handling\n\nThe application returns appropriate HTTP status codes and error messages:\n\n- `400`: Bad request (invalid parameters)\n- `405`: Method not allowed (non-POST requests)\n- `500`: Internal server error (API failures)\n\n## Security\n\n- Input validation and sanitization\n- Secure API key handling via environment variables\n- CORS headers for browser compatibility\n- Request logging for debugging\n\n## Limitations\n\n- Dependent on xAI API availability and rate limits\n- Search results limited by X's data retention policies\n- Media analysis increases token usage and response time\n\n## Examples\n\n### Find Latest Prompts by @dl4senses\n\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"query\": \"find all the latest prompts mentioned by @dl4senses\",\n \"targetUser\": \"dl4senses\",\n \"includeMedia\": true,\n \"dateRange\": {\n \"from\": \"2025-01-01\"\n }\n }'\n```\n\n### Search for AI News\n\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"query\": \"latest artificial intelligence news and breakthroughs\",\n \"dateRange\": {\n \"from\": \"2025-01-01\"\n },\n \"maxResults\": 15\n }'\n```\n\n## Development\n\nTo extend this application:\n\n1. Add new search parameters in `types.ts`\n2. Implement additional parsing logic in `grok_client.ts`\n3. Add new endpoint handlers in `main.ts`\n\n## Support\n\nFor issues related to:\n- **API functionality**: Check xAI documentation\n- **Val Town deployment**: Review Val Town docs\n- **Application bugs**: Create an issue in the repository",[],[208],{"_103":216,"_95":217,"_152":218,"_154":-5,"_155":137,"_156":219,"_158":159,"_105":220,"_100":32,"_161":173,"_163":221,"_164":22,"_165":-5,"_166":222,"_98":223},"5e41f64a-d098-11f0-83cc-42dde27851f2","TROUBLESHOOTING.md","5e41f71c-d098-11f0-83cc-42dde27851f2",17,["D",1764801328334],"# Troubleshooting Guide\n\n## Common Issues and Solutions\n\n### 1. \"500 Internal Server Error\" on page load\n\n**Problem**: The val crashes when loading the web interface.\n\n**Solution**: The API key validation has been fixed. The val now:\n- ✅ Loads the web interface even without an API key\n- ✅ Shows a helpful warning message when API key is missing\n- ✅ Only validates API key when making actual searches\n\n### 2. \"XAI_API_KEY environment variable is required\" error\n\n**Problem**: API key not configured.\n\n**Solution**:\n1. Go to your Val Town dashboard\n2. Navigate to **Settings → Environment Variables**\n3. Add a new environment variable:\n - **Key**: `XAI_API_KEY`\n - **Value**: Your xAI API key from [x.ai](https://x.ai)\n\n### 3. \"Invalid JSON request body\" error\n\n**Problem**: Malformed request payload.\n\n**Solution**: Ensure your API requests have proper JSON formatting:\n\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\"query\":\"test search\"}'\n```\n\n### 4. \"Grok API error: 401\" error\n\n**Problem**: Invalid or expired API key.\n\n**Solution**:\n1. Verify your xAI API key is correct\n2. Check if the key has sufficient credits\n3. Generate a new API key from x.ai dashboard if needed\n\n### 5. Slow response times\n\n**Problem**: Searches taking too long.\n\n**Causes and Solutions**:\n- **Media Analysis**: Disable image/video analysis for faster results\n- **Complex Queries**: Use more specific, focused queries\n- **API Rate Limits**: Wait between requests if making many calls\n\n### 6. No results found\n\n**Problem**: Empty or irrelevant search results.\n\n**Solutions**:\n- Try different query wording\n- Remove date restrictions\n- Check if target user has recent posts\n- Verify the X handle is spelled correctly\n\n## Debugging Steps\n\n### 1. Check Web Interface\nVisit your val URL in a browser:\n- Should load without errors\n- Show warning if API key is missing\n- Display form interface\n\n### 2. Test Simple API Call\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -H \"Content-Type: application/json\" \\\n -d '{\"query\":\"test\"}'\n```\n\n### 3. Check Environment Variables\nIn Val Town dashboard → Settings → Environment Variables:\n- `XAI_API_KEY` should be set\n- No extra spaces or line breaks in the value\n\n### 4. Monitor Logs\nCheck the val's logs in Val Town dashboard for detailed error messages.\n\n## Performance Tips\n\n1. **Disable Media Analysis**: Uncheck \"Include image and video analysis\" for faster searches\n2. **Use Specific Queries**: More focused queries return faster results\n3. **Limit Result Count**: Set reasonable maxResults values\n4. **Avoid Date Ranges**: Only use date filtering when necessary\n\n## Getting Help\n\nIf issues persist:\n1. Check this guide first\n2. Review the val logs in Val Town dashboard\n3. Test with the xAI API directly\n4. Verify your xAI account status and credits\n\n## Environment Variable Checklist\n\n- [ ] `XAI_API_KEY` is set in Val Town dashboard\n- [ ] API key has no extra spaces or characters\n- [ ] API key is active and has credits\n- [ ] No typos in the environment variable name",[],[217],{"_103":225,"_95":226,"_152":227,"_154":-5,"_155":137,"_156":228,"_158":159,"_105":229,"_100":32,"_161":173,"_163":230,"_164":22,"_165":-5,"_166":231,"_98":232},"67a66146-d096-11f0-ade7-42dde27851f2","deno.json","67a66222-d096-11f0-ade7-42dde27851f2",7,["D",1764800485107],"{\n \"imports\": {\n \"@std/dotenv\": \"https://deno.land/std@0.224.0/dotenv/mod.ts\"\n },\n \"compilerOptions\": {\n \"allowJs\": true,\n \"lib\": [\"deno.window\"],\n \"strict\": true\n }\n}",[],[226],{"_103":234,"_95":235,"_152":236,"_154":-5,"_155":137,"_156":237,"_158":159,"_105":238,"_100":228,"_161":239,"_163":240,"_164":22,"_165":-5,"_166":241,"_98":242},"bc22dce8-d0a7-11f0-98f0-42dde27851f2","grok_client.ts","6795c1d8-d096-11f0-8bee-42dde27851f2",57,["D",1764807928288],"script","import { SearchRequest, SearchResponse, XSearchTool, GrokAPIRequest } from './types.ts';\nimport { PromptExtractionSchema } from './schema.ts';\n\nexport class GrokClient {\n private apiKey: string;\n private baseURL = 'https://api.x.ai/v1';\n\n constructor() {\n // Don't check API key in constructor - check when actually used\n this.apiKey = Deno.env.get('XAI_API_KEY') || '';\n }\n\n private ensureApiKey(): void {\n if (!this.apiKey) {\n throw new Error('XAI_API_KEY environment variable is required. Please set it in Val Town dashboard → Settings → Environment Variables.');\n }\n }\n\n // Test API key validity\n async testApiKey(): Promise<{ valid: boolean; error?: string; details?: any }> {\n try {\n this.ensureApiKey();\n\n console.log('[DEBUG] Testing API key validity...');\n\n const testRequest = {\n model: 'grok-4-1-fast-reasoning',\n input: [{\n role: 'user',\n content: 'Hello, this is a test.'\n }],\n tools: [{\n type: 'x_search',\n allowed_x_handles: ['xai'],\n max_results: 1\n }]\n };\n\n console.log('[DEBUG] Making test API call...', JSON.stringify(testRequest, null, 2));\n\n const response = await fetch(`${this.baseURL}/responses`, {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${this.apiKey}`\n },\n body: JSON.stringify(testRequest)\n });\n\n console.log('[DEBUG] API response status:', response.status);\n console.log('[DEBUG] API response headers:', Object.fromEntries(response.headers.entries()));\n\n if (response.ok) {\n const data = await response.json();\n console.log('[DEBUG] API response data:', JSON.stringify(data, null, 2));\n return {\n valid: true,\n details: {\n model: data.model,\n usage: data.usage\n }\n };\n } else {\n const errorText = await response.text();\n console.log('[DEBUG] API error response:', errorText);\n return {\n valid: false,\n error: `API Error ${response.status}: ${errorText}`\n };\n }\n } catch (error) {\n console.log('[DEBUG] API test error:', error);\n return {\n valid: false,\n error: error instanceof Error ? error.message : 'Unknown error'\n };\n }\n }\n\n private buildSearchTools(request: SearchRequest): XSearchTool[] {\n const tool: XSearchTool = {\n type: 'x_search',\n max_results: request.maxResults || 10 // Default to 10 if not specified\n };\n\n console.log('[DEBUG] Building x_search tool with max_results:', tool.max_results);\n\n // Add target user filter if specified\n if (request.targetUser) {\n // Remove @ symbol if present\n const cleanHandle = request.targetUser.startsWith('@')\n ? request.targetUser.slice(1)\n : request.targetUser;\n tool.allowed_x_handles = [cleanHandle];\n console.log('[DEBUG] Added allowed_x_handles:', tool.allowed_x_handles);\n }\n\n // Add date range if specified\n if (request.dateRange?.from || request.dateRange?.to) {\n if (request.dateRange?.from) tool.from_date = request.dateRange.from;\n if (request.dateRange?.to) tool.to_date = request.dateRange.to;\n console.log('[DEBUG] Added date range:', { from: tool.from_date, to: tool.to_date });\n }\n\n // Add media analysis if requested\n if (request.includeMedia) {\n tool.enable_image_understanding = true;\n tool.enable_video_understanding = true;\n console.log('[DEBUG] Enabled media understanding');\n }\n\n console.log('[DEBUG] Final x_search tool config:', JSON.stringify(tool, null, 2));\n return [tool];\n }\n\n private buildSystemPrompt(request: SearchRequest): string {\n let prompt = `You are a specialized AI assistant that extracts complete prompts from social media posts (X/Twitter). Your task is to:\n\n1. Analyze the social media content found through the search tools\n2. Identify and extract complete, actionable prompts\n3. Categorize each prompt appropriately\n4. Preserve the exact prompt text as shared by the original author\n5. Extract relevant metadata like dates, authors, and engagement\n\nKey guidelines:\n- Focus on complete, reusable prompts that others can copy and use\n- Include both simple and complex prompts (from one-liners to detailed multi-step prompts)\n- Preserve the exact formatting, structure, and wording of each prompt\n- Categorize prompts by their purpose (e.g., Content Strategy, AI Tools, Marketing, Productivity, etc.)\n- Extract the date posted and author information for each prompt\n- Note any engagement metrics if available\n- Include relevant tags or keywords for each prompt`;\n\n if (request.targetUser) {\n prompt += `\\n\\nTarget focus: Extract prompts from @${request.targetUser} specifically.`;\n }\n\n if (request.dateRange?.from || request.dateRange?.to) {\n prompt += `\\n\\nDate range: ${request.dateRange?.from || 'beginning'} to ${request.dateRange?.to || 'present'}.`;\n }\n\n prompt += `\\n\\nReturn your findings in the structured JSON format provided.`;\n\n return prompt;\n }\n\n private buildUserPrompt(request: SearchRequest): string {\n let prompt = `IMPORTANT: You MUST use the x_search tool to search X/Twitter for posts matching the criteria below.\n\nSearch Parameters:\n- Query: \"${request.query}\"`;\n\n if (request.targetUser) {\n prompt += `\\n- Target User: @${request.targetUser}`;\n }\n\n if (request.maxResults) {\n prompt += `\\n- Maximum Results: ${request.maxResults}`;\n }\n\n if (request.dateRange?.from || request.dateRange?.to) {\n prompt += `\\n- Date Range: ${request.dateRange?.from || 'No start date'} to ${request.dateRange?.to || 'No end date'}`;\n }\n\n prompt += `\\n\\nINSTRUCTIONS:\n1. USE the x_search tool to find posts on X/Twitter that match the search query\n2. EXTRACT complete, actionable prompts from the posts you find\n3. Focus on prompts that are:\n - Complete and ready to use\n - Clearly written and understandable\n - Valuable for others to copy and implement\n - From reliable sources and authors\n4. RETURN your findings in the structured JSON format provided\n\nBegin by calling the x_search tool now.`;\n\n return prompt;\n }\n\n private async makeAPICall(request: GrokAPIRequest): Promise {\n const response = await fetch(`${this.baseURL}/responses`, {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n 'Authorization': `Bearer ${this.apiKey}`\n },\n body: JSON.stringify(request)\n });\n\n if (!response.ok) {\n const errorData = await response.text();\n throw new Error(`Grok API error: ${response.status} - ${errorData}`);\n }\n\n return await response.json();\n }\n\n async searchUser(request: SearchRequest): Promise {\n const startTime = Date.now();\n\n try {\n console.log('[DEBUG] Starting search with request:', JSON.stringify(request, null, 2));\n\n // Check API key before making requests\n this.ensureApiKey();\n console.log('[DEBUG] API key validated');\n\n // Validate input\n if (!request.query?.trim()) {\n console.log('[DEBUG] Empty query received');\n return {\n success: false,\n error: 'Query is required and cannot be empty'\n };\n }\n\n // Build the structured system prompt\n const systemPrompt = this.buildSystemPrompt(request);\n\n // Build the API request with structured output\n const grokRequest: GrokAPIRequest = {\n model: 'grok-4-1-fast-reasoning',\n input: [\n {\n role: 'system',\n content: systemPrompt\n },\n {\n role: 'user',\n content: this.buildUserPrompt(request)\n }\n ],\n tools: this.buildSearchTools(request),\n response_format: {\n type: \"json_schema\",\n json_schema: {\n name: \"prompt_extraction\",\n schema: PromptExtractionSchema\n }\n }\n };\n\n console.log('[DEBUG] Built Grok request:', JSON.stringify(grokRequest, null, 2));\n\n // Make API call\n console.log('[DEBUG] Making API call...');\n const apiResponse = await this.makeAPICall(grokRequest);\n const searchTime = Date.now() - startTime;\n\n console.log('[DEBUG] API call completed in', searchTime, 'ms');\n console.log('[DEBUG] Full API response keys:', Object.keys(apiResponse || {}));\n console.log('[DEBUG] API response (first 1000 chars):', JSON.stringify(apiResponse, null, 2).substring(0, 1000) + '...');\n\n // Extract and format the response\n const result = this.formatResponse(apiResponse, searchTime);\n console.log('[DEBUG] Formatted result:', JSON.stringify(result, null, 2));\n\n return {\n success: true,\n data: result\n };\n\n } catch (error) {\n console.error('[DEBUG] Grok search error:', error);\n console.error('[DEBUG] Error stack:', error instanceof Error ? error.stack : 'No stack trace');\n return {\n success: false,\n error: error instanceof Error ? error.message : 'Unknown error occurred'\n };\n }\n }\n\n private formatResponse(apiResponse: any, searchTime: number): any {\n console.log('[DEBUG] Raw API Response structure:', JSON.stringify(apiResponse, null, 2));\n\n // For structured outputs, the response should be in the content field\n let structuredData: any = null;\n let citations: any[] = [];\n\n // Method 1: Check for structured output in assistant message\n if (apiResponse.output && Array.isArray(apiResponse.output)) {\n console.log('[DEBUG] Checking output array with', apiResponse.output.length, 'items');\n\n // Look for the last assistant message with structured content\n for (let i = apiResponse.output.length - 1; i >= 0; i--) {\n const output = apiResponse.output[i];\n if (output.role === 'assistant' && output.content) {\n for (const contentItem of output.content) {\n if (contentItem.text) {\n try {\n // Try to parse as JSON (structured output)\n structuredData = JSON.parse(contentItem.text);\n console.log('[DEBUG] Parsed structured output from assistant message');\n break;\n } catch (e) {\n console.log('[DEBUG] Assistant content is not JSON, treating as raw text');\n }\n }\n }\n if (structuredData) break;\n }\n }\n }\n\n // Method 2: Check for message structure\n if (!structuredData && apiResponse.message) {\n try {\n structuredData = JSON.parse(apiResponse.message.content || '{}');\n console.log('[DEBUG] Parsed structured output from message structure');\n } catch (e) {\n console.log('[DEBUG] Message content is not valid JSON');\n }\n }\n\n // Method 3: Fallback - look for any JSON content in response\n if (!structuredData) {\n const searchForJSON = (obj: any): any => {\n if (typeof obj === 'string') {\n try {\n const parsed = JSON.parse(obj);\n if (parsed.prompts || parsed.success !== undefined) {\n return parsed;\n }\n } catch (e) {\n // Not valid JSON, continue searching\n }\n }\n if (typeof obj === 'object' && obj !== null) {\n for (const key in obj) {\n const result = searchForJSON(obj[key]);\n if (result) return result;\n }\n }\n return null;\n };\n structuredData = searchForJSON(apiResponse);\n if (structuredData) {\n console.log('[DEBUG] Found structured JSON using deep search');\n }\n }\n\n // If we still don't have structured data, create a fallback response\n if (!structuredData) {\n console.log('[DEBUG] No structured output found, creating fallback response');\n structuredData = {\n success: false,\n summary: 'No structured data could be extracted from the API response.',\n prompts: [],\n metadata: {\n total_posts_analyzed: 0,\n prompts_found: 0\n }\n };\n }\n\n // Extract citations\n citations = apiResponse.citations || [];\n\n // Extract usage information\n const usage = apiResponse.usage || {};\n\n console.log('[DEBUG] Final structured data:', JSON.stringify(structuredData, null, 2));\n\n return {\n summary: structuredData.summary || 'No summary provided',\n prompts: structuredData.prompts || [],\n structuredData: structuredData,\n citations: citations.map((cit: any) => cit.url || cit),\n metadata: {\n model: 'grok-4-1-fast-reasoning',\n usage: usage,\n searchTime: searchTime,\n extractedMetadata: structuredData.metadata\n }\n };\n }\n\n private parsePostsFromContent(content: string): any[] {\n // This is a simple implementation - in practice, you might want to\n // use more sophisticated parsing or ask the AI to structure its output\n const posts: any[] = [];\n\n // Try to extract individual posts from the response\n // This is a placeholder - actual implementation would depend on how Grok formats its responses\n const lines = content.split('\\n');\n let currentPost: any = null;\n\n for (const line of lines) {\n // Look for patterns that might indicate individual posts\n if (line.includes('twitter.com') || line.includes('x.com')) {\n if (currentPost) {\n posts.push(currentPost);\n }\n currentPost = {\n id: this.extractPostId(line),\n text: line.trim(),\n author: this.extractAuthor(line),\n timestamp: new Date().toISOString(),\n url: line.trim()\n };\n } else if (currentPost && line.trim()) {\n currentPost.text += ' ' + line.trim();\n }\n }\n\n if (currentPost) {\n posts.push(currentPost);\n }\n\n return posts;\n }\n\n private extractPostId(text: string): string {\n const match = text.match(/status\\/(\\d+)/);\n return match ? match[1] : '';\n }\n\n private extractAuthor(text: string): string {\n const match = text.match(/(?:twitter\\.com|x\\.com)\\/([^\\/]+)/);\n return match ? match[1] : '';\n }\n}",[],[235],{"_103":244,"_95":99,"_152":245,"_154":-5,"_155":137,"_156":246,"_158":159,"_105":247,"_100":202,"_161":173,"_163":248,"_164":22,"_165":-5,"_166":249,"_98":250},"cbec0636-d098-11f0-98e4-42dde27851f2","c03df05c-d097-11f0-ac37-42dde27851f2",19,["D",1764801512323],"\n\n\n \n \n Grok X User Search\n \n \n\n\n

\n \n

🔍 Grok X User Search

Search and retrieve information from X users using Grok AI

\n\n \n

\n \n

\n\n \n

🔑 API Configuration

\n\n

\n \n

\n \n 🧪 Test API Key\n \n

Test if your xAI API key is working correctly

\n\n \n

\n \n 🐛 Toggle Debug Console\n \n

Show/hide debugging information

\n\n \n

🔍 Debug Console (latest messages at top)

\n\n \n

Searching X with Grok AI...

\n\n \n

📊 Search Results

\n\n \n

Summary

\n\n \n

🔗 Sources

\n\n \n

ℹ️ Search Info

\n\n \n

💡 Example Searches

\n \n \n \n

\n\n \n\n",[],[99],{"_103":252,"_95":253,"_152":254,"_154":-5,"_155":137,"_156":255,"_158":159,"_105":256,"_100":257,"_161":258,"_163":259,"_164":22,"_165":-5,"_166":260,"_98":261},"daf3f914-d0ab-11f0-a1d1-42dde27851f2","main.ts","67a11ca4-d096-11f0-b7da-42dde27851f2",69,["D",1764809697975],45,"http","import { GrokClient } from './grok_client.ts';\nimport { SearchRequest } from './types.ts';\n\n// Inline HTML for Val Town deployment\nconst HTML_CONTENT = `\n\n\n \n \n Grok X User Search\n \n \n\n\n

\n \n

Grok X User Search

Search and retrieve information from X users using Grok AI

\n\n \n

\n \n

\n\n \n

API Configuration

\n\n

\n \n

\n \n Test API Key\n \n

Test if your xAI API key is working correctly

\n\n \n

\n \n Toggle Debug Console\n \n

Show/hide debugging information

\n\n \n

Debug Console (latest messages at top)

\n\n \n

Searching X with Grok AI...

\n\n \n

Search Results

\n\n \n

Summary

\n\n \n

Sources

\n\n \n

Search Info

\n\n \n

Example Searches

\n \n \n \n

\n\n \n\n`;\n\nexport default async function(req: Request): Promise {\n try {\n // Handle CORS preflight\n if (req.method === 'OPTIONS') {\n return new Response(null, {\n status: 200,\n headers: {\n 'Access-Control-Allow-Origin': '*',\n 'Access-Control-Allow-Methods': 'GET, POST, OPTIONS',\n 'Access-Control-Allow-Headers': 'Content-Type',\n }\n });\n }\n\n // Serve HTML frontend for GET requests\n if (req.method === 'GET') {\n try {\n // Check if API key is set and inject warning if not\n const apiKey = Deno.env.get('XAI_API_KEY');\n let html = HTML_CONTENT;\n\n if (!apiKey) {\n const warningHtml = `\n

Configuration Required

\n XAI_API_KEY environment variable is not set.
\n Please add your xAI API key in Val Town dashboard → Settings → Environment Variables.
\n Get your API key from x.ai\n

\n `;\n\n html = html.replace(\n '

',\n '

' + warningHtml\n );\n }\n\n return new Response(html, {\n status: 200,\n headers: {\n 'Content-Type': 'text/html; charset=utf-8',\n 'Access-Control-Allow-Origin': '*'\n }\n });\n } catch (error) {\n return new Response('Error loading application', {\n status: 500,\n headers: {\n 'Access-Control-Allow-Origin': '*'\n }\n });\n }\n }\n\n // Only accept POST requests for search\n if (req.method !== 'POST') {\n return new Response(JSON.stringify({\n success: false,\n error: 'Method not allowed. Use GET for web interface or POST for search requests.'\n }), {\n status: 405,\n headers: {\n 'Content-Type': 'application/json',\n 'Access-Control-Allow-Origin': '*'\n }\n });\n }\n\n // Parse request body\n const body = await req.json().catch(() => null);\n if (!body) {\n return new Response(JSON.stringify({\n success: false,\n error: 'Invalid JSON request body'\n }), {\n status: 400,\n headers: {\n 'Content-Type': 'application/json',\n 'Access-Control-Allow-Origin': '*'\n }\n });\n }\n\n // Handle API key testing endpoint\n if (body.action === 'test-api-key') {\n console.log('[DEBUG] Received API key test request');\n try {\n const client = new GrokClient();\n console.log('[DEBUG] Testing API key...');\n const testResult = await client.testApiKey();\n console.log('[DEBUG] API key test result:', testResult);\n return new Response(JSON.stringify({\n success: true,\n data: testResult\n }), {\n status: 200,\n headers: {\n 'Content-Type': 'application/json',\n 'Access-Control-Allow-Origin': '*'\n }\n });\n } catch (error) {\n console.error('[DEBUG] API key test error:', error);\n return new Response(JSON.stringify({\n success: false,\n error: error instanceof Error ? error.message : 'Unknown error'\n }), {\n status: 500,\n headers: {\n 'Content-Type': 'application/json',\n 'Access-Control-Allow-Origin': '*'\n }\n });\n }\n }\n\n // Validate and build search request\n const searchRequest: SearchRequest = {\n query: body.query,\n targetUser: body.targetUser,\n dateRange: body.dateRange,\n includeMedia: body.includeMedia || false,\n maxResults: body.maxResults\n };\n\n // Create Grok client and perform search\n const client = new GrokClient();\n const result = await client.searchUser(searchRequest);\n\n // Return response\n return new Response(JSON.stringify(result), {\n status: result.success ? 200 : 400,\n headers: {\n 'Content-Type': 'application/json',\n 'Access-Control-Allow-Origin': '*'\n }\n });\n\n } catch (error) {\n console.error('Request handling error:', error);\n return new Response(JSON.stringify({\n success: false,\n error: 'Internal server error'\n }), {\n status: 500,\n headers: {\n 'Content-Type': 'application/json',\n 'Access-Control-Allow-Origin': '*'\n }\n });\n }\n}",[],[253],{"_103":263,"_95":264,"_152":265,"_154":-5,"_155":137,"_156":266,"_158":159,"_105":267,"_100":32,"_161":239,"_163":268,"_164":22,"_165":-5,"_166":269,"_98":270},"d78b8078-d0a4-11f0-bf1d-42dde27851f2","schema.ts","d78b812c-d0a4-11f0-bf1d-42dde27851f2",39,["D",1764806685788],"// Zod schemas for structured output from Grok API\n\nexport interface PromptExtraction {\n success: boolean;\n summary: string;\n prompts: ExtractedPrompt[];\n metadata: {\n total_posts_analyzed: number;\n prompts_found: number;\n date_range: {\n from?: string;\n to?: string;\n };\n target_user?: string;\n };\n}\n\nexport interface ExtractedPrompt {\n title: string;\n description: string;\n prompt_text: string;\n category: string;\n date_posted: string;\n author: string;\n post_url?: string;\n engagement_stats?: {\n likes?: number;\n retweets?: number;\n replies?: number;\n };\n tags: string[];\n}\n\nexport const PromptExtractionSchema = {\n type: \"object\",\n properties: {\n success: {\n type: \"boolean\",\n description: \"Whether the extraction was successful\"\n },\n summary: {\n type: \"string\",\n description: \"Overall summary of findings\"\n },\n prompts: {\n type: \"array\",\n description: \"Array of extracted prompts\",\n items: {\n type: \"object\",\n properties: {\n title: {\n type: \"string\",\n description: \"Title or short description of the prompt\"\n },\n description: {\n type: \"string\",\n description: \"Detailed description of what the prompt does\"\n },\n prompt_text: {\n type: \"string\",\n description: \"The complete prompt text exactly as shared\"\n },\n category: {\n type: \"string\",\n description: \"Category of the prompt (e.g., 'Content Strategy', 'AI Tools', 'Marketing')\"\n },\n date_posted: {\n type: \"string\",\n description: \"Date when the prompt was posted (YYYY-MM-DD format)\"\n },\n author: {\n type: \"string\",\n description: \"Author who posted the prompt\"\n },\n post_url: {\n type: \"string\",\n description: \"URL to the original post\"\n },\n engagement_stats: {\n type: \"object\",\n properties: {\n likes: { type: \"number\" },\n retweets: { type: \"number\" },\n replies: { type: \"number\" }\n }\n },\n tags: {\n type: \"array\",\n items: { type: \"string\" },\n description: \"Tags or keywords associated with the prompt\"\n }\n },\n required: [\"title\", \"description\", \"prompt_text\", \"category\", \"date_posted\", \"author\", \"tags\"]\n }\n },\n metadata: {\n type: \"object\",\n properties: {\n total_posts_analyzed: {\n type: \"number\",\n description: \"Total number of posts analyzed\"\n },\n prompts_found: {\n type: \"number\",\n description: \"Number of prompts extracted\"\n },\n date_range: {\n type: \"object\",\n properties: {\n from: { type: \"string\" },\n to: { type: \"string\" }\n }\n },\n target_user: {\n type: \"string\",\n description: \"Target user that was searched\"\n }\n },\n required: [\"total_posts_analyzed\", \"prompts_found\"]\n }\n },\n required: [\"success\", \"summary\", \"prompts\", \"metadata\"]\n};",[],[264],{"_103":272,"_95":273,"_152":274,"_154":-5,"_155":137,"_156":275,"_158":159,"_105":276,"_100":202,"_161":258,"_163":277,"_164":22,"_165":-5,"_166":278,"_98":279},"65e2e4f8-d099-11f0-a8b8-42dde27851f2","test_example.ts","677f1a8c-d096-11f0-8bee-42dde27851f2",21,["D",1764801770629],"// Example usage test for the Grok X User Search\n\nimport { GrokClient } from './grok_client.ts';\n\nasync function testExample() {\n const client = new GrokClient();\n\n const testRequest = {\n query: \"find all the latest prompts mentioned by @dl4senses\",\n targetUser: \"dl4senses\",\n includeMedia: false,\n dateRange: {\n from: \"2025-01-01\"\n }\n };\n\n console.log(\"Testing Grok X User Search...\");\n console.log(\"Request:\", JSON.stringify(testRequest, null, 2));\n\n try {\n const result = await client.searchUser(testRequest);\n console.log(\"\\nResult:\", JSON.stringify(result, null, 2));\n } catch (error) {\n console.error(\"Error:\", error);\n }\n}\n\n// Run test if this file is executed directly\nif (import.meta.main) {\n testExample();\n}",[],[273],{"_103":281,"_95":282,"_152":283,"_154":-5,"_155":137,"_156":284,"_158":159,"_105":285,"_100":202,"_161":239,"_163":286,"_164":22,"_165":-5,"_166":287,"_98":288},"b0e5f932-d0a7-11f0-b233-42dde27851f2","types.ts","679e29fe-d096-11f0-ade7-42dde27851f2",56,["D",1764807909437],"// TypeScript types for Grok X User Search\n\nexport interface SearchRequest {\n query: string;\n targetUser?: string;\n dateRange?: {\n from?: string;\n to?: string;\n };\n includeMedia?: boolean;\n maxResults?: number;\n}\n\nexport interface PostData {\n id: string;\n text: string;\n author: string;\n timestamp: string;\n media?: {\n images?: string[];\n videos?: string[];\n };\n}\n\nexport interface SearchResult {\n summary: string;\n posts: PostData[];\n citations: string[];\n metadata: {\n model: string;\n usage: any;\n searchTime: number;\n };\n}\n\nexport interface SearchResponse {\n success: boolean;\n data?: SearchResult;\n error?: string;\n}\n\nexport interface XSearchTool {\n type: 'x_search';\n max_results?: number; // Number of posts to retrieve (required for tool to work)\n allowed_x_handles?: string[];\n excluded_x_handles?: string[];\n from_date?: string;\n to_date?: string;\n enable_image_understanding?: boolean;\n enable_video_understanding?: boolean;\n}\n\nexport interface GrokAPIRequest {\n model: string;\n input: Array<{\n role: 'user';\n content: string;\n }>;\n tools: 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