[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_175":176,"_177":178},"routes/_app.x.$handle.$name",{"_102":101,"_32":49,"_110":90,"_27":111,"_13":14,"_112":-5,"_11":113,"_114":115,"_116":117,"_118":119,"_120":121,"_21":-5,"_122":-5,"_123":124,"_125":25,"_126":127,"_128":62,"_129":-5,"_130":-5,"_131":132},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_47":48,"_32":49,"_37":50,"_51":-5,"_52":25,"_53":54,"_55":54,"_56":-5,"_57":-5,"_18":58,"_59":60,"_61":62,"_63":62,"_64":-5,"_65":66,"_67":68,"_69":-5,"_70":-5,"_71":-5,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":83,"_84":85,"_86":87,"_88":25},"version",1,"changes",[19,20],"aiChatInfo","userId",{"_21":42,"_23":-7,"_24":25,"_26":25,"_27":43,"_29":43},{"_21":22,"_23":-7,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":36,"_37":38,"_39":14,"_40":41,"_24":25},"previous","deleted",false,"deletedHere","path","index.ts","latestPath","fileId","e1ed7e80-2302-4bba-9d77-2bd5a33dfe98","name","fileType","http","content","import OpenAI from \"npm:openai\";\n\ninterface PersonEnrichmentRequest {\n email?: string;\n name?: string;\n company?: string;\n linkedin?: string;\n twitter?: string;\n website?: string;\n}\n\ninterface PersonEnrichmentResponse {\n success: boolean;\n data?: {\n summary: string;\n professional_background: string;\n current_role: string;\n company_info: string;\n recent_activities: string;\n social_presence: string;\n achievements: string;\n sources: string[];\n };\n error?: string;\n}\n\nexport default async function(req: Request): Promise {\n // Only allow POST requests with form data\n if (req.method !== 'POST') {\n return new Response(JSON.stringify({ \n success: false, \n error: 'Method not allowed. Use POST with form data.' \n }), {\n status: 405,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n\n try {\n // Parse form data\n const formData = await req.formData();\n \n // Extract form fields\n const body: PersonEnrichmentRequest = {\n email: formData.get('email')?.toString() || undefined,\n name: formData.get('name')?.toString() || undefined,\n company: formData.get('company')?.toString() || undefined,\n linkedin: formData.get('linkedin')?.toString() || undefined,\n twitter: formData.get('twitter')?.toString() || undefined,\n website: formData.get('website')?.toString() || undefined,\n };\n \n // Validate that at least one identifier is provided\n if (!body.email && !body.name && !body.linkedin && !body.twitter && !body.website) {\n return new Response(JSON.stringify({\n success: false,\n error: 'At least one identifier is required (email, name, linkedin, twitter, or website)'\n }), {\n status: 400,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n\n // Build search query based on available information\n let searchQuery = \"Research and find information about this person: \";\n const identifiers = [];\n \n if (body.name) identifiers.push(`Name: ${body.name}`);\n if (body.email) identifiers.push(`Email: ${body.email}`);\n if (body.company) identifiers.push(`Company: ${body.company}`);\n if (body.linkedin) identifiers.push(`LinkedIn: ${body.linkedin}`);\n if (body.twitter) identifiers.push(`Twitter: ${body.twitter}`);\n if (body.website) identifiers.push(`Website: ${body.website}`);\n \n searchQuery += identifiers.join(\", \");\n \n searchQuery += `\n\nPlease provide a comprehensive research report with the following sections:\n1. SUMMARY: A brief overview of who this person is\n2. PROFESSIONAL_BACKGROUND: Their career history, education, and expertise\n3. CURRENT_ROLE: Their current position and responsibilities\n4. COMPANY_INFO: Information about their current or most recent company\n5. RECENT_ACTIVITIES: Recent news, projects, or public activities\n6. SOCIAL_PRESENCE: Their online presence and thought leadership\n7. ACHIEVEMENTS: Notable accomplishments, awards, or recognition\n8. SOURCES: List the main sources you found this information from\n\nFormat your response as a structured report. If you cannot find information for any section, please indicate \"No information found\" for that section.`;\n\n // Initialize OpenAI client\n const client = new OpenAI({\n apiKey: Deno.env.get('OPENAI_API_KEY')\n });\n\n // Make the search request\n const completion = await client.chat.completions.create({\n model: \"gpt-4o-search-preview\",\n web_search_options: {},\n messages: [{\n role: \"user\",\n content: searchQuery\n }],\n max_tokens: 2000\n });\n\n const content = completion.choices[0].message.content;\n \n if (!content) {\n throw new Error('No content returned from OpenAI');\n }\n\n // Parse the structured response\n const sections = {\n summary: extractSection(content, 'SUMMARY'),\n professional_background: extractSection(content, 'PROFESSIONAL_BACKGROUND'),\n current_role: extractSection(content, 'CURRENT_ROLE'),\n company_info: extractSection(content, 'COMPANY_INFO'),\n recent_activities: extractSection(content, 'RECENT_ACTIVITIES'),\n social_presence: extractSection(content, 'SOCIAL_PRESENCE'),\n achievements: extractSection(content, 'ACHIEVEMENTS'),\n sources: extractSources(content)\n };\n\n const response: PersonEnrichmentResponse = {\n success: true,\n data: sections\n };\n\n return new Response(JSON.stringify(response, null, 2), {\n status: 200,\n headers: { 'Content-Type': 'application/json' }\n });\n\n } catch (error) {\n console.error('Error in person enrichment:', error);\n \n const response: PersonEnrichmentResponse = {\n success: false,\n error: error instanceof Error ? error.message : 'Unknown error occurred'\n };\n\n return new Response(JSON.stringify(response), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n}\n\n// Helper function to extract sections from the response\nfunction extractSection(content: string, sectionName: string): string {\n const regex = new RegExp(`${sectionName}:?\\\\s*([\\\\s\\\\S]*?)(?=\\\\n\\\\d+\\\\.|\\\\n[A-Z_]+:|$)`, 'i');\n const match = content.match(regex);\n return match ? match[1].trim() : 'No information found';\n}\n\n// Helper function to extract sources\nfunction extractSources(content: string): string[] {\n const sourcesSection = extractSection(content, 'SOURCES');\n if (sourcesSection === 'No information found') {\n return [];\n }\n \n // Try to extract URLs or source names from the sources section\n const urlRegex = /https?:\\/\\/[^\\s]+/g;\n const urls = sourcesSection.match(urlRegex) || [];\n \n // Also try to extract bullet points or numbered items\n const lines = sourcesSection.split('\\n')\n .map(line => line.trim())\n .filter(line => line.length > 0 && !urls.some(url => line.includes(url)));\n \n return [...urls, ...lines].slice(0, 10); // Limit to 10 sources\n}","createdAt",["D",1748954154510],"branchVersion","branchId","4a94536a-4077-11f0-8d91-76b3cceeab13",{"_30":44,"_32":43,"_33":21,"_35":45,"_37":46,"_39":14,"_40":41,"_24":25},"README.md","4b612e82-70ae-4019-8968-6cc050f41b28","# Person Enrichment API\n\nAn HTTP endpoint that enriches person data using OpenAI's web search capabilities. Provide basic information about a person (email, name, etc.) and get back comprehensive research about them.\n\n## Setup\n\n1. Set your OpenAI API key as an environment variable: `OPENAI_API_KEY`\n2. The API uses the `gpt-4o-search-preview` model with web search capabilities\n\n## Usage\n\n### Endpoint\n- **Method**: POST\n- **Content-Type**: multipart/form-data\n\n### Request Body (Form Data)\n\nThe API accepts form data with the following fields:\n\n- `email` (optional): Person's email address\n- `name` (optional): Person's full name\n- `company` (optional): Company name\n- `linkedin` (optional): LinkedIn profile URL\n- `twitter` (optional): Twitter profile URL\n- `website` (optional): Personal or company website URL\n\n**Note**: At least one field is required. You can provide any combination of the above fields as form data.\n\n### Response\n\n#### Success Response (200)\n```json\n{\n \"success\": true,\n \"data\": {\n \"summary\": \"Brief overview of the person\",\n \"professional_background\": \"Career history and education\",\n \"current_role\": \"Current position and responsibilities\",\n \"company_info\": \"Information about their company\",\n \"recent_activities\": \"Recent news and projects\",\n \"social_presence\": \"Online presence and thought leadership\",\n \"achievements\": \"Notable accomplishments\",\n \"sources\": [\"https://example.com\", \"LinkedIn profile\", \"...\"]\n }\n}\n```\n\n#### Error Response (400/405/500)\n```json\n{\n \"success\": false,\n \"error\": \"Error description\"\n}\n```\n\n**Common Error Cases:**\n- `405 Method Not Allowed`: Only POST requests are accepted\n- `400 Bad Request`: No identifiers provided (at least one field required)\n- `500 Internal Server Error`: OpenAI API error or processing failure\n\n## Example Usage\n\n### cURL\n```bash\ncurl -X POST https://your-val-url.web.val.run \\\n -F \"email=elon@tesla.com\" \\\n -F \"name=Elon Musk\"\n```\n\n### JavaScript (using FormData)\n```javascript\nconst formData = new FormData();\nformData.append('email', 'person@example.com');\nformData.append('name', 'John Doe');\n\nconst response = await fetch('https://your-val-url.web.val.run', {\n method: 'POST',\n body: formData\n});\n\nconst data = await response.json();\nconsole.log(data);\n```\n\n### HTML Form\n```html\n\n```\n\n## Features\n\n- **Web Search Integration**: Uses OpenAI's `gpt-4o-search-preview` model with web search capabilities\n- **Form Data Support**: Accepts standard HTML form submissions and FormData objects\n- **Comprehensive Research**: Provides structured information across multiple categories\n- **Flexible Input**: Accepts various identifiers (email, name, social profiles, etc.)\n- **Source Attribution**: Returns sources where information was found\n- **Error Handling**: Graceful error handling with descriptive messages\n- **Method Validation**: Only accepts POST requests for security\n\n## Privacy & Ethics\n\nThis tool is designed for legitimate business purposes such as:\n- Sales prospecting and lead qualification\n- Partnership research\n- Due diligence for business relationships\n- Professional networking\n\nPlease ensure you comply with:\n- GDPR and other privacy regulations\n- Your organization's data handling policies\n- Ethical guidelines for data collection and use\n- Terms of service of the platforms being researched\n\n## Rate Limits\n\nThe API is subject to OpenAI's rate limits for the `gpt-4o-search-preview` model. Consider implementing your own rate limiting if needed for production use.",["D",1748954154510],"id","7673e1a4-3fd6-11f0-9448-76b3cceeab13","openai_enrichment",["D",1748885079132],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","a0bf3b31-15a5-4d5c-880e-4b1e22c9bc18","pinnedFileId","c0a85930-3fd6-11f0-aa5d-76b3cceeab13","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","e81e7335-6d4c-4764-a902-d0962bbfa9f7","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_102":101,"_109":105},"org",{"_102":101,"_103":-5,"_104":105,"_18":58,"_106":107,"_108":25},"branch",{"_13":89,"_32":90,"_47":41,"_91":48,"_92":93,"_94":95,"_96":54,"_97":48,"_98":68,"_99":49,"_100":101},"isOwned",8,"add-ui","projectId","forkedBranchId","76743230-3fd6-11f0-9448-76b3cceeab13","forkedBranchVersion",59,"forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","stevekrouse","handle","displayName","avatar","https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_47":48,"_32":49,"_37":171,"_51":-5,"_52":25,"_53":54,"_55":54,"_56":-5,"_57":-5,"_18":58,"_59":60,"_61":62,"_63":62,"_64":-5,"_65":66,"_67":68,"_69":-5,"_70":-5,"_71":-5,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":172,"_84":173,"_86":174,"_88":25},"tree",[162,163],"files",[162,163],"counts",{"_151":66,"_152":153,"_154":66,"_155":156,"_157":158},"contents",[140,141],"upstreamProject","upstreamBranch",{"_47":93,"_37":133,"_134":135,"_32":136,"_91":48,"_13":137,"_92":-5,"_94":-5,"_138":139,"_51":-5,"_88":25,"_53":54,"_100":101,"_67":68,"_99":49},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1748885079132],"updatedAt",["D",1750961183784],"main",69,"lockfileKey","1766208064908-esm.town_v_stevekrouse_openai_enrichment@69-main",{"_47":148,"_32":43,"_30":44,"_143":-5,"_40":41,"_39":14,"_144":62,"_37":149,"_13":66,"_33":21,"_35":45,"_24":25,"_146":-5,"_27":150},{"_47":142,"_32":28,"_30":31,"_143":-5,"_40":41,"_39":14,"_144":25,"_37":145,"_13":66,"_33":34,"_35":36,"_24":25,"_146":-5,"_27":147},"4a974156-4077-11f0-8d91-76b3cceeab13","parentId","latest",["D",1748954154510],"label",[28],"4a972c02-4077-11f0-8d91-76b3cceeab13",["D",1748954154510],[43],"pulls","branches",2,"forks","envVars",{"_159":14,"_161":66},"connections",{"_159":66,"_160":66},"count","unfilledCount","emptyCount",{"_47":148,"_32":43,"_30":44,"_143":-5,"_40":41,"_39":14,"_144":62,"_37":168,"_13":66,"_33":21,"_35":45,"_24":25,"_146":-5,"_165":169,"_27":170},{"_47":142,"_32":28,"_30":31,"_143":-5,"_40":41,"_39":14,"_144":25,"_37":164,"_13":66,"_33":34,"_35":36,"_24":25,"_146":-5,"_165":166,"_27":167},["D",1748954154510],"children",[],[28],["D",1748954154510],[],[43],["D",1748885079132],{"_102":101,"_109":105},{"_102":101,"_103":-5,"_104":105,"_18":58,"_106":107,"_108":25},{"_13":89,"_32":90,"_47":41,"_91":48,"_92":93,"_94":95,"_96":54,"_97":48,"_98":68,"_99":49,"_100":101},"ctx",{"_82":-5,"_130":208,"_209":210,"_211":212,"_213":25,"_214":25,"_215":25,"_216":62,"_217":-5,"_218":-7,"_219":-7,"_220":66,"_221":25,"_222":25,"_223":-5,"_224":25,"_225":25,"_226":25,"_227":-5},"ENV",{"_179":180,"_181":182,"_183":136,"_184":185,"_186":187,"_188":189,"_190":191,"_192":193,"_194":195,"_196":197,"_198":199,"_200":201,"_202":203,"_204":205,"_206":207},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","71c1b20804b3232a7e513be260cfffc1932a9e97","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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