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Send POST from Twilio.\",\n {\n status: 200,\n headers: { \"Content-Type\": \"text/plain\" },\n },\n );\n }\n\n const contentType = req.headers.get(\"content-type\") || \"\";\n if (\n !contentType.includes(\"application/x-www-form-urlencoded\") &&\n !contentType.includes(\"multipart/form-data\")\n ) {\n return new Response(\"Expected form-encoded POST from Twilio.\", {\n status: 400,\n headers: { \"Content-Type\": \"text/plain\" },\n });\n }\n\n const formData = await req.formData();\n const from = formData.get(\"From\") as string;\n const body = (formData.get(\"Body\") as string) || \"\";\n const numMedia = parseInt((formData.get(\"NumMedia\") as string) || \"0\");\n\n let replyText = \"\";\n\n if (numMedia === 0) {\n replyText =\n \"📸 Send me a photo of your meal and I'll estimate the calories and macros.\";\n } else {\n const mediaUrl = formData.get(\"MediaUrl0\") as string;\n const mediaType = formData.get(\"MediaContentType0\") as string;\n\n try {\n const auth = btoa(\n `${Deno.env.get(\"TWILIO_ACCOUNT_SID\")}:${\n Deno.env.get(\"TWILIO_AUTH_TOKEN\")\n }`,\n );\n const imgResp = await fetch(mediaUrl, {\n headers: { Authorization: `Basic ${auth}` },\n });\n const imgBuf = await imgResp.arrayBuffer();\n const imgBase64 = btoa(\n String.fromCharCode(...new Uint8Array(imgBuf)),\n );\n\n const dataUrl = `data:${mediaType};base64,${imgBase64}`;\n\n const orResp = await fetch(\n \"https://openrouter.ai/api/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${Deno.env.get(\"OPENROUTER_API_KEY\")}`,\n \"Content-Type\": \"application/json\",\n \"HTTP-Referer\": \"https://val.town\",\n \"X-Title\": \"WhatsApp Calorie Bot\",\n },\n body: JSON.stringify({\n model: \"google/gemini-2.5-flash-lite\",\n max_tokens: 1000,\n messages: [\n {\n role: \"user\",\n content: [\n { type: \"image_url\", image_url: { url: dataUrl } },\n {\n type: \"text\",\n text: `You are a nutritionist analyzing a meal photo.\n\n1. Identify each distinct food item visible.\n2. Estimate portion size in grams for each. State your visual reference.\n3. Compute kcal, protein (g), carbs (g), fat (g) per item.\n4. Give a TOTAL with a ±20% range.\n5. Note the biggest source of uncertainty.\n\nFormat your reply as a SHORT WhatsApp message (use emojis, line breaks, no markdown headers). Keep it under 1000 characters. End with the total range and one uncertainty note.`,\n },\n ],\n },\n ],\n }),\n },\n );\n\n const orData = await orResp.json();\n replyText = orData.choices?.[0]?.message?.content ||\n `Sorry, I couldn't analyze that. ${\n JSON.stringify(orData).slice(0, 200)\n }`;\n } catch (err) {\n replyText = `Error: ${err.message}`;\n }\n }\n\n const twiml = `\n${escapeXml(replyText)}`;\n\n return new Response(twiml, {\n headers: { \"Content-Type\": \"text/xml\" },\n });\n}\n\nfunction escapeXml(str: string): string {\n return str\n .replace(/&/g, \"&\")\n .replace(//g, \">\")\n .replace(/\"/g, \""\")\n .replace(/'/g, \"'\");\n}","export default async function (req: Request): Promise {\n if (req.method !== \"POST\") {\n return new Response(\n \"WhatsApp Calorie Bot is alive. Send POST from Twilio.\",\n {\n status: 200,\n headers: { \"Content-Type\": \"text/plain\" },\n },\n );\n }\n\n const contentType = req.headers.get(\"content-type\") || \"\";\n if (\n !contentType.includes(\"application/x-www-form-urlencoded\") &&\n !contentType.includes(\"multipart/form-data\")\n ) {\n return new Response(\"Expected form-encoded POST from Twilio.\", {\n status: 400,\n headers: { \"Content-Type\": \"text/plain\" },\n });\n }\n\n const formData = await req.formData();\n const from = formData.get(\"From\") as string;\n const body = (formData.get(\"Body\") as string) || \"\";\n const numMedia = parseInt((formData.get(\"NumMedia\") as string) || \"0\");\n\n let replyText = \"\";\n\n if (numMedia === 0) {\n replyText =\n \"📸 Send me a photo of your meal and I'll estimate the calories and macros.\";\n } else {\n const mediaUrl = formData.get(\"MediaUrl0\") as string;\n const mediaType = formData.get(\"MediaContentType0\") as string;\n\n try {\n const auth = btoa(\n `${Deno.env.get(\"TWILIO_ACCOUNT_SID\")}:${\n Deno.env.get(\"TWILIO_AUTH_TOKEN\")\n }`,\n );\n const imgResp = await fetch(mediaUrl, {\n headers: { Authorization: `Basic ${auth}` },\n });\n const imgBuf = await imgResp.arrayBuffer();\n const imgBase64 = btoa(\n String.fromCharCode(...new Uint8Array(imgBuf)),\n );\n\n const dataUrl = `data:${mediaType};base64,${imgBase64}`;\n\n const orResp = await fetch(\n \"https://openrouter.ai/api/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${Deno.env.get(\"OPENROUTER_API_KEY\")}`,\n \"Content-Type\": \"application/json\",\n \"HTTP-Referer\": \"https://val.town\",\n \"X-Title\": \"WhatsApp Calorie Bot\",\n },\n body: JSON.stringify({\n model: \"google/gemini-2.5-flash\",\n max_tokens: 1000,\n messages: [\n {\n role: \"user\",\n content: [\n { type: \"image_url\", image_url: { url: dataUrl } },\n {\n type: \"text\",\n text: `You are a nutritionist analyzing a meal photo.\n\n1. Identify each distinct food item visible.\n2. Estimate portion size in grams for each. State your visual reference.\n3. Compute kcal, protein (g), carbs (g), fat (g) per item.\n4. Give a TOTAL with a ±20% range.\n5. Note the biggest source of uncertainty.\n\nFormat your reply as a SHORT WhatsApp message (use emojis, line breaks, no markdown headers). Keep it under 1000 characters. 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Diff · v18