[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_178":179,"_180":181},"routes/_app.x.$handle.$name",{"_98":97,"_32":45,"_106":85,"_27":107,"_13":14,"_108":-5,"_11":109,"_110":111,"_112":113,"_114":115,"_116":117,"_20":-5,"_118":119,"_120":121,"_122":25,"_123":124,"_125":25,"_126":-5,"_127":-5,"_128":129},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":-5,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",16,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","08fdc1a8-27b7-11f0-aecd-569c3dd06744","name","fileType","email","content","import { encode } from \"https://deno.land/std@0.203.0/encoding/base64.ts\";\nimport { email } from \"https://esm.town/v/std/email\";\nimport { pdfText } from \"jsr:@pdf/pdftext\";\nimport OpenAI from \"https://esm.sh/openai@4.24.1\";\n\n// main controller function\nexport default async function(receivedEmail) {\n const apiKey = Deno.env.get(\"FIREWORKS_API_KEY\");\n const model = \"accounts/fireworks/models/deepseek-r1\";\n\n if (!apiKey) {\n throw new Error(\n \"FIREWORKS_API_KEY environment variable is not set. Please set it or replace this line with your API key.\",\n );\n }\n\n console.log(\"email received:\", receivedEmail.from, receivedEmail.subject);\n console.log(\"Full email object:\", JSON.stringify(receivedEmail, null, 2));\n\n // step 1: process email attachments\n const attachments = await extractAttachments(receivedEmail);\n\n let pdfTexts = [];\n\n if (attachments.length > 0) {\n console.log(\"attachments found:\", attachments.map((a) => a.filename).join(\", \"));\n pdfTexts = await extractPdfText(attachments);\n } else {\n console.log(\"no attachments found in the email.\");\n }\n\n // step 2: set email text as user prompt\n const emailText = receivedEmail.text.trim();\n\n // step 3: create final prompt with email and pdf text (if any)\n const prompt = generatePrompt(receivedEmail, pdfTexts, emailText);\n\n // step 4: send prompt to Fireworks.ai\n const aiResponse = await sendRequestToFireworks(prompt, apiKey, model);\n\n // step 5: parse the AI response\n const { parsedResponse, thinking } = parseAIResponse(aiResponse);\n\n // log the parsed AI response and thinking\n console.log(\"Parsed AI response:\", parsedResponse);\n console.log(\"AI thinking:\", thinking);\n\n // step 6: send the response back via email\n await sendResponseByEmail(receivedEmail, parsedResponse, thinking);\n\n console.log(\"response email sent.\");\n}\n\n// extract attachments (if any)\nasync function extractAttachments(email) {\n if (!email.attachments || email.attachments.length === 0) {\n return [];\n }\n\n const attachments = [];\n for (const file of email.attachments) {\n attachments.push({\n filename: file.name,\n content: encode(await file.arrayBuffer()),\n type: file.type,\n });\n }\n return attachments;\n}\n\nasync function extractPdfText(attachments) {\n const pdfTexts = [];\n\n for (const attachment of attachments) {\n if (attachment.type === \"application/pdf\") {\n console.log(`parsing PDF: ${attachment.filename}`);\n try {\n // decode Base64 content back to a buffer\n const pdfBuffer = Uint8Array.from(atob(attachment.content), (c) => c.charCodeAt(0)).buffer;\n\n // extract text from the PDF\n const pages = await pdfText(pdfBuffer);\n\n // combine all pages into a single string\n const fullText = Object.values(pages).join(\"\\n\");\n\n pdfTexts.push({\n filename: attachment.filename,\n text: fullText,\n });\n } catch (err) {\n console.error(`Error parsing PDF (${attachment.filename}):`, err);\n pdfTexts.push({\n filename: attachment.filename,\n text: \"Error parsing PDF\",\n });\n }\n }\n }\n\n return pdfTexts;\n}\n\n// helper function to generate a prompt for AI\nfunction generatePrompt(email, pdfTexts, emailText) {\n const senderName = email.from.split(\"<\")[0].trim().split(\" \")[0] || \"User\";\n const fullSenderName = email.from.split(\"<\")[0].trim() || \"User\";\n\n let prompt = `You are an AI assistant responding to an email. Respond directly to the email as if you were the recipient, in a natural and conversational manner. Do not mention that you are an AI or offer suggestions unless explicitly asked. Here are the details of the email you're responding to:\n\nFrom: ${fullSenderName}\nSubject: ${email.subject}\nBody: ${emailText}\n\n`;\n\n if (pdfTexts.length > 0) {\n prompt += `The email also includes the following PDF attachments:\n${pdfTexts.map((pdf) => `Filename: ${pdf.filename}\\nContent: ${pdf.text}`).join(\"\\n\\n\")}\n\nPlease consider the content of these PDFs in your response if relevant.\n\n`;\n }\n\n prompt += `Now, write a response to ${senderName} that directly addresses their email. Be concise, friendly, and to the point. If they're asking a question, answer it. If they're sharing information, acknowledge it appropriately. If they're requesting something, address their request. Sign off as \"AI Assistant\".`;\n\n return prompt;\n}\n\n// helper function to send a request to Fireworks.ai\nasync function sendRequestToFireworks(prompt, apiKey, model) {\n try {\n const client = new OpenAI({\n baseURL: \"https://api.fireworks.ai/inference/v1\",\n apiKey: apiKey,\n });\n\n const response = await client.chat.completions.create({\n model: model,\n messages: [{ role: \"user\", content: prompt }],\n });\n\n if (!response.choices || response.choices.length === 0 || !response.choices[0].message) {\n throw new Error(\"Unexpected response format from Fireworks.ai\");\n }\n\n const message = response.choices[0].message.content.trim();\n if (!message) {\n if (response.choices[0].finish_reason === \"length\") {\n return \"The response was cut off due to length limitations. Please try a shorter query or breaking your question into smaller parts.\";\n } else {\n throw new Error(\"Empty message from Fireworks.ai\");\n }\n }\n\n return message;\n } catch (error) {\n console.error(\"Fireworks.ai API Error:\", error);\n return `Error: ${error.message}`;\n }\n}\n\n// helper function to parse the AI response\nfunction parseAIResponse(response) {\n let parsedResponse = response;\n let thinking = \"\";\n\n const startTag = \"\";\n const endTag = \"\";\n const startIndex = parsedResponse.indexOf(startTag);\n const endIndex = parsedResponse.lastIndexOf(endTag);\n\n if (startIndex !== -1 && endIndex !== -1 && startIndex < endIndex) {\n thinking = parsedResponse.slice(startIndex + startTag.length, endIndex).trim();\n parsedResponse = parsedResponse.slice(0, startIndex).trim() + parsedResponse.slice(endIndex + endTag.length).trim();\n }\n\n return { parsedResponse, thinking };\n}\n\n// helper function to send a response back via email\nasync function sendResponseByEmail(originalEmail, responseContent, thinking) {\n const subject = originalEmail.subject.startsWith(\"Re:\") \n ? originalEmail.subject \n : \"Re: \" + originalEmail.subject;\n\n let dateString = \"Unknown Date\";\n if (originalEmail.date) {\n const date = new Date(originalEmail.date);\n if (!isNaN(date.getTime())) {\n dateString = date.toUTCString();\n } else {\n console.error(\"Invalid date:\", originalEmail.date);\n // Fallback to using the current date\n dateString = new Date().toUTCString();\n }\n } else {\n console.error(\"No date field in the original email\");\n // Fallback to using the current date\n dateString = new Date().toUTCString();\n }\n\n const text = `${responseContent}\n\nAI Assistant's Thought Process:\n${thinking}\n\nOn ${dateString}, ${originalEmail.from} wrote:\n\n${originalEmail.text.split('\\n').map(line => '> ' + line).join('\\n')}`;\n\n await email({\n subject,\n text,\n to: originalEmail.from,\n from: \"sboesen.o1EmailHandler@valtown.email\"\n });\n}","import { encode } from \"https://deno.land/std@0.203.0/encoding/base64.ts\";\nimport OpenAI from \"https://esm.sh/openai@4.24.1\";\nimport { email } from \"https://esm.town/v/std/email\";\nimport { pdfText } from \"jsr:@pdf/pdftext\";\n\n// main controller function\nexport default async function(receivedEmail) {\n const apiKey = Deno.env.get(\"FIREWORKS_API_KEY\");\n const model = \"accounts/fireworks/models/deepseek-r1\";\n\n if (!apiKey) {\n throw new Error(\n \"FIREWORKS_API_KEY environment variable is not set. Please set it or replace this line with your API key.\",\n );\n }\n\n console.log(\"email received:\", receivedEmail.from, receivedEmail.subject);\n console.log(\"Full email object:\", JSON.stringify(receivedEmail, null, 2));\n\n // step 1: process email attachments\n const attachments = await extractAttachments(receivedEmail);\n\n let pdfTexts = [];\n\n if (attachments.length > 0) {\n console.log(\"attachments found:\", attachments.map((a) => a.filename).join(\", \"));\n pdfTexts = await extractPdfText(attachments);\n } else {\n console.log(\"no attachments found in the email.\");\n }\n\n // step 2: set email text as user prompt\n const emailText = receivedEmail.text.trim();\n\n // step 3: create final prompt with email and pdf text (if any)\n const prompt = generatePrompt(receivedEmail, pdfTexts, emailText);\n\n // step 4: send prompt to Fireworks.ai\n const aiResponse = await sendRequestToFireworks(prompt, apiKey, model);\n\n // step 5: parse the AI response\n const { parsedResponse, thinking } = parseAIResponse(aiResponse);\n\n // log the parsed AI response and thinking\n console.log(\"Parsed AI response:\", parsedResponse);\n console.log(\"AI thinking:\", thinking);\n\n // step 6: send the response back via email\n await sendResponseByEmail(receivedEmail, parsedResponse, thinking);\n\n console.log(\"response email sent.\");\n}\n\n// extract attachments (if any)\nasync function extractAttachments(email) {\n if (!email.attachments || email.attachments.length === 0) {\n return [];\n }\n\n const attachments = [];\n for (const file of email.attachments) {\n attachments.push({\n filename: file.name,\n content: encode(await file.arrayBuffer()),\n type: file.type,\n });\n }\n return attachments;\n}\n\nasync function extractPdfText(attachments) {\n const pdfTexts = [];\n\n for (const attachment of attachments) {\n if (attachment.type === \"application/pdf\") {\n console.log(`parsing PDF: ${attachment.filename}`);\n try {\n // decode Base64 content back to a buffer\n const pdfBuffer = Uint8Array.from(atob(attachment.content), (c) => c.charCodeAt(0)).buffer;\n\n // extract text from the PDF\n const pages = await pdfText(pdfBuffer);\n\n // combine all pages into a single string\n const fullText = Object.values(pages).join(\"\\n\");\n\n pdfTexts.push({\n filename: attachment.filename,\n text: fullText,\n });\n } catch (err) {\n console.error(`Error parsing PDF (${attachment.filename}):`, err);\n pdfTexts.push({\n filename: attachment.filename,\n text: \"Error parsing PDF\",\n });\n }\n }\n }\n\n return pdfTexts;\n}\n\n// helper function to generate a prompt for AI\nfunction generatePrompt(email, pdfTexts, emailText) {\n const senderName = email.from.split(\"<\")[0].trim().split(\" \")[0] || \"User\";\n const fullSenderName = email.from.split(\"<\")[0].trim() || \"User\";\n\n let prompt =\n `You are an AI assistant responding to an email. Respond directly to the email as if you were the recipient, in a natural and conversational manner. Do not mention that you are an AI or offer suggestions unless explicitly asked. Here are the details of the email you're responding to:\n\nFrom: ${fullSenderName}\nSubject: ${email.subject}\nBody: ${emailText}\n\n`;\n\n if (pdfTexts.length > 0) {\n prompt += `The email also includes the following PDF attachments:\n${pdfTexts.map((pdf) => `Filename: ${pdf.filename}\\nContent: ${pdf.text}`).join(\"\\n\\n\")}\n\nPlease consider the content of these PDFs in your response if relevant.\n\n`;\n }\n\n prompt +=\n `Now, write a response to ${senderName} that directly addresses their email. Be concise, friendly, and to the point. If they're asking a question, answer it. If they're sharing information, acknowledge it appropriately. If they're requesting something, address their request. Sign off as \"AI Assistant\".`;\n\n return prompt;\n}\n\n// helper function to send a request to Fireworks.ai\nasync function sendRequestToFireworks(prompt, apiKey, model) {\n try {\n const client = new OpenAI({\n baseURL: \"https://api.fireworks.ai/inference/v1\",\n apiKey: apiKey,\n });\n\n const response = await client.chat.completions.create({\n model: model,\n messages: [{ role: \"user\", content: prompt }],\n });\n\n if (!response.choices || response.choices.length === 0 || !response.choices[0].message) {\n throw new Error(\"Unexpected response format from Fireworks.ai\");\n }\n\n const message = response.choices[0].message.content.trim();\n if (!message) {\n if (response.choices[0].finish_reason === \"length\") {\n return \"The response was cut off due to length limitations. Please try a shorter query or breaking your question into smaller parts.\";\n } else {\n throw new Error(\"Empty message from Fireworks.ai\");\n }\n }\n\n return message;\n } catch (error) {\n console.error(\"Fireworks.ai API Error:\", error);\n return `Error: ${error.message}`;\n }\n}\n\n// helper function to parse the AI response\nfunction parseAIResponse(response) {\n let parsedResponse = response;\n let thinking = \"\";\n\n const startTag = \"\";\n const endTag = \"\";\n const startIndex = parsedResponse.indexOf(startTag);\n const endIndex = parsedResponse.lastIndexOf(endTag);\n\n if (startIndex !== -1 && endIndex !== -1 && startIndex < endIndex) {\n thinking = parsedResponse.slice(startIndex + startTag.length, endIndex).trim();\n parsedResponse = parsedResponse.slice(0, startIndex).trim() + parsedResponse.slice(endIndex + endTag.length).trim();\n }\n\n return { parsedResponse, thinking };\n}\n\n// helper function to send a response back via email\nasync function sendResponseByEmail(originalEmail, responseContent, thinking) {\n const subject = originalEmail.subject.startsWith(\"Re:\")\n ? originalEmail.subject\n : \"Re: \" + originalEmail.subject;\n\n let dateString = \"Unknown Date\";\n if (originalEmail.date) {\n const date = new Date(originalEmail.date);\n if (!isNaN(date.getTime())) {\n dateString = date.toUTCString();\n } else {\n console.error(\"Invalid date:\", originalEmail.date);\n // Fallback to using the current date\n dateString = new Date().toUTCString();\n }\n } else {\n console.error(\"No date field in the original email\");\n // Fallback to using the current date\n dateString = new Date().toUTCString();\n }\n\n const text = `${responseContent}\n\nAI Assistant's Thought Process:\n${thinking}\n\nOn ${dateString}, ${originalEmail.from} wrote:\n\n${originalEmail.text.split(\"\\n\").map(line => \"> \" + line).join(\"\\n\")}`;\n\n await email({\n subject,\n text,\n to: originalEmail.from,\n from: \"sboesen.r1EmailHandler@valtown.email\",\n });\n}","createdAt",["D",1737944753583],"branchVersion","branchId","08fb40e0-27b7-11f0-aecd-569c3dd06744","id","08faff04-27b7-11f0-aecd-569c3dd06744","r1",["D",1746232753163],"deletedAt","legacyEnvVars",true,"privacy","public","httpPrivacy","description","imageUrl","f2d631e7-e954-4843-874b-251b06e7fbef","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","ced6245d-1739-4c9a-b8cf-52da8da20144","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_98":97,"_105":101},"org",{"_98":97,"_99":-5,"_100":101,"_18":55,"_102":103,"_104":25},"branch",{"_13":84,"_32":85,"_43":42,"_86":44,"_87":88,"_89":61,"_90":51,"_91":92,"_93":94,"_95":45,"_96":97},"isOwned",20,"main","projectId","forkedBranchId","59a60f80-2798-11f0-9d52-569c3dd06744","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","59a5cc5a-2798-11f0-9d52-569c3dd06744","forkedProjectOrgId","b85ade96-e891-41d6-b890-6750e0387541","projectName","userHandle","sboesen","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18ybGlSNXN1T2dMbDRLVFRzdmJWZWd2cjB1aDkifQ","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":174,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":-5,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":175,"_79":176,"_81":177,"_83":25},"tree",[165,166],"files",[165,166],"counts",{"_155":61,"_156":151,"_157":61,"_158":159,"_160":161},"contents",[139,140],"upstreamProject",{"_43":92,"_32":136,"_53":-5,"_54":-5,"_50":51,"_77":137},"upstreamBranch",{"_43":88,"_38":130,"_131":132,"_32":85,"_86":92,"_13":133,"_87":-5,"_89":-5,"_134":-5,"_47":-5,"_83":25,"_50":51,"_96":135,"_62":94,"_95":136},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1746219574101],"updatedAt",["D",1737125038297],6,"lockfileKey","simplescraper","aiEmailAssistant",{"_98":135,"_105":138},"https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJqOTcyNjk3VGUyUjFJa2R0R0o5WWxnR2RoYiJ9",{"_43":148,"_32":149,"_30":150,"_142":-5,"_41":42,"_40":151,"_143":49,"_38":152,"_13":61,"_33":20,"_35":153,"_24":25,"_146":-5,"_27":154},{"_43":141,"_32":28,"_30":31,"_142":-5,"_41":42,"_40":14,"_143":25,"_38":144,"_13":145,"_33":34,"_35":37,"_24":25,"_146":-5,"_27":147},"095059b8-27b7-11f0-aecd-569c3dd06744","parentId","latest",["D",1737944753583],15,"label",[28],"08fdcb58-27b7-11f0-aecd-569c3dd06744","README.md","08fdcbe4-27b7-11f0-aecd-569c3dd06744",1,["D",1737132839735],"# R1 Email AI Assistant\n\nChat with R1 (with PDF attachment support)\n\n## What It Does\n\nThis script allows you to:\n- Send emails to R1. The text will be treated as the prompt\n- Parse PDF attachments and include their contents in the AI's analysis.\n- Get response directly to your inbox. Thinking response is included below the reply.\n\n## Setup guide\n\n1. Copy this Val and save it as an Email Val (choose Val type in top-right corner of editor)\n\n2. Add your Fireworks (or openai API compatible) API key to line 8 (or use an environment variable: https://docs.val.town/reference/environment-variables/)\n\n3. Copy the email address of the Val (click 3 dots in top-right > Copy > Copy email address)\n\n4. Write your email, include any attachments, and send it to the Val email address. The AI will respond after a few seconds.\n\n\n",[149],"pulls","branches","forks","envVars",{"_162":61,"_164":61},"connections",{"_162":61,"_163":61},"count","unfilledCount","emptyCount",{"_43":148,"_32":149,"_30":150,"_142":-5,"_41":42,"_40":151,"_143":49,"_38":171,"_13":61,"_33":20,"_35":153,"_24":25,"_146":-5,"_168":172,"_27":173},{"_43":141,"_32":28,"_30":31,"_142":-5,"_41":42,"_40":14,"_143":25,"_38":167,"_13":145,"_33":34,"_35":37,"_24":25,"_146":-5,"_168":169,"_27":170},["D",1737944753583],"children",[],[28],["D",1737132839735],[],[149],["D",1746232753163],{"_98":97,"_105":101},{"_98":97,"_99":-5,"_100":101,"_18":55,"_102":103,"_104":25},{"_13":84,"_32":85,"_43":42,"_86":44,"_87":88,"_89":61,"_90":51,"_91":92,"_93":94,"_95":45,"_96":97},"ctx",{"_77":-5,"_127":211,"_212":213,"_214":215,"_216":25,"_217":25,"_218":25,"_219":49,"_220":-5,"_221":-7,"_222":-7,"_223":61,"_224":25,"_225":25,"_226":-5,"_227":25,"_228":25,"_229":25,"_230":-5},"ENV",{"_182":183,"_184":185,"_186":85,"_187":188,"_189":190,"_191":192,"_193":194,"_195":196,"_197":198,"_199":200,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","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"]

Diff · v16