[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_172":173,"_174":175},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_130":-5,"_20":131,"_22":132,"_133":134,"_135":136,"_25":137,"_24":-5,"_138":-5,"_139":-5,"_140":54,"_141":142,"_143":45,"_144":-5,"_145":-5,"_146":147},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26,"_27":-5,"_28":-5,"_29":-5,"_30":-5,"_31":-5},"handle","toddcoulter","name","email-ai-agent","branchName","main","version","path","","project",{"_34":74,"_13":14,"_46":75,"_76":-5,"_77":54,"_78":79,"_80":79,"_81":82,"_83":-5,"_84":85,"_86":38,"_87":45,"_88":-5,"_89":-5,"_90":48,"_91":92,"_93":94,"_95":96,"_97":98,"_99":-5,"_100":101,"_102":101,"_103":104,"_105":104,"_106":104,"_107":101,"_108":101,"_109":110,"_111":112,"_113":114,"_115":54},"tree",[65,66],"file","contents",[32,33],"upstream","pull","ahead","behind","envVars",{"_34":57,"_13":58,"_37":59,"_39":-5,"_40":41,"_42":60,"_44":45,"_46":61,"_17":48,"_49":62,"_51":63,"_53":54,"_55":-5,"_18":64},{"_34":35,"_13":36,"_37":38,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_17":48,"_49":50,"_51":52,"_53":54,"_55":-5,"_18":56},"id","88d46c70-4254-11f1-9a73-42b51c65c3df","dashboard.ts","fileId","88d46d1a-4254-11f1-9a73-42b51c65c3df","parentId","branchId","78da0398-4254-11f1-9a73-42b51c65c3df","branchVersion",2,"latest",true,"createdAt",["D",1777306626539],0,"fileType","http","content","import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { parseVal } from \"https://esm.town/v/std/utils/index.ts\";\n\nexport default async function(req: Request): Promise {\n // Ensure table exists\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS email_conversations (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n from_addr TEXT,\n subject TEXT,\n incoming_body TEXT,\n ai_reply TEXT,\n created_at TEXT DEFAULT (datetime('now'))\n )`);\n\n const conversations = await sqlite.execute(\n \"SELECT * FROM email_conversations ORDER BY created_at DESC LIMIT 50\"\n );\n\n const rows = conversations.rows as any[];\n\n return new Response(\n `\n\n\n \n \n 📧 AI Email Agent Dashboard\n \n\n\n

📧 AI Email Agent

Send an email and get an AI-powered reply instantly

Send an email to:

toddcoulter.email-ai-agent@valtown.email

\n\n

💬 Recent Conversations (${rows.length})

\n\n ${rows.length === 0\n ? `

📭

No conversations yet. Send an email to get started!

`\n : rows.map((r: any) => `\n

\n From:\n ${escapeHtml(r.from_addr)}\n

\n ${r.created_at}\n

\n Subject: ${escapeHtml(r.subject)}\n

📥 Incoming

${escapeHtml(r.incoming_body?.slice(0, 500))}

🤖 AI Reply

${escapeHtml(r.ai_reply?.slice(0, 500))}

\n `).join(\"\")\n }\n\n

\n View Source\n

\n\n`,\n { headers: { \"Content-Type\": \"text/html\" } }\n );\n}\n\nfunction escapeHtml(str: string): string {\n if (!str) return \"\";\n return str.replace(/&/g, \"&\").replace(//g, \">\").replace(/\"/g, \""\");\n}\n","deleted",false,"label",[36],"807936f0-4254-11f1-9ce3-42b51c65c3df","agent.ts","807938bc-4254-11f1-9ce3-42b51c65c3df",1,["D",1777306612520],"email","import { email as sendEmail } from \"https://esm.town/v/std/email\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { OpenAI } from \"npm:openai\";\n\n// Create table to log conversations\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS email_conversations (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n from_addr TEXT,\n subject TEXT,\n incoming_body TEXT,\n ai_reply TEXT,\n created_at TEXT DEFAULT (datetime('now'))\n)`);\n\nexport default async function(e: Email) {\n const openai = new OpenAI({ apiKey: Deno.env.get(\"OPENAI_API_KEY\") });\n\n const userMessage = e.text || e.html || \"(no body)\";\n\n // Generate AI response\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n {\n role: \"system\",\n content: `You are a helpful, friendly AI email assistant. Reply concisely and helpfully to the user's email. Keep responses under 200 words. Sign off as \"AI Agent 🤖\".`,\n },\n {\n role: \"user\",\n content: `Subject: ${e.subject || \"(no subject)\"}\\n\\n${userMessage}`,\n },\n ],\n });\n\n const aiReply = completion.choices[0]?.message?.content || \"Sorry, I couldn't generate a response.\";\n\n // Log the conversation\n await sqlite.execute({\n sql: \"INSERT INTO email_conversations (from_addr, subject, incoming_body, ai_reply) VALUES (?, ?, ?, ?)\",\n args: [e.from, e.subject || \"(no subject)\", userMessage.slice(0, 2000), aiReply],\n });\n\n // Send the reply back\n await sendEmail.send({\n to: e.from,\n subject: `Re: ${e.subject || \"(no subject)\"}`,\n text: aiReply,\n });\n\n console.log(`✅ Replied to ${e.from} about \"${e.subject}\"`);\n}\n",[58],{"_34":57,"_13":58,"_37":59,"_39":-5,"_40":41,"_42":60,"_44":45,"_46":71,"_17":48,"_49":62,"_51":63,"_53":54,"_55":-5,"_68":72,"_18":73},{"_34":35,"_13":36,"_37":38,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":67,"_17":48,"_49":50,"_51":52,"_53":54,"_55":-5,"_68":69,"_18":70},["D",1777306626539],"children",[],[36],["D",1777306612520],[],[58],"78d9a5ba-4254-11f1-9a73-42b51c65c3df",["D",1777306599738],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","An AI agent that responds to incoming emails 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Code