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The "Living Word Companion" app exists in another account/chat, so I can't edit its code. I need to rebuild it here, fully functional: a page where you type how you're feeling ("Pour your heart here"), it returns Bible verses. The "couldn't reach the Word" error is a failed API call. Approach: build it with real backend API routes. Options for the verse lookup: - Use the AI SDK (AI Gateway) to interpret the feeling and pick verses — needs AI Gateway. But zero-config providers are supported in v0 (OpenAI, Anthropic, etc.). This is the most robust for "any feeling in any language." - Use a free public Bible API (bible-api.com) for the actual verse text — no key needed. Combine: curated emotion→reference mapping + fetch text from bible-api.com, with AI for nuanced emotion detection. Best resilient design: server route that (a) uses AI to detect the emotion/theme + pick verse references, (b) fetches actual verse text from bible-api.com, (c) falls back to a built-in curated verse library with embedded text if either fails — so it NEVER says "couldn't reach the Word." Languages: bible-api.com supports translations like kjv, web, and also has some non-English (e.g., "almeida" Portuguese, "rccv" Romanian, "cherokee"). Limited. Better: for languages, use AI to translate the reflection/verse? Risky for scripture accuracy. Simpler & safe: offer English translations (KJV/WEB/ASV/BBE) and for other languages use bible-api.com's available translations. Hmm. Actually let me check what user wants. But they said "Languages okay. Pages okay." — meaning the multi-language and multi-page features are fine/working as-is; the bug is the verse fetch. So I should keep language support. Let me decide: I'll build with the AI Gateway for the emotion→scripture reasoning + a reflection prompt, plus bible-api.com for verified verse text in English, and a curated offline fallback library. For languages, AI provides the reflection/prayer in the selected language and the verse text in that language from AI knowledge (labeled). Actually to keep integrity, I'll fetch canonical text via bible-api.com when the language is English, and use the AI's rendering for other languages. Simpler and stronger: The route always returns verses. Steps: - Try AI (if AI Gateway available) → returns 3 verse references + short reflection + prayer, in the chosen language. - Fetch each reference's text from bible-api.com (translation depends on language; English default). If fetch fails, use AI-provided text. - If AI fails entirely → keyword-based curated library (offline, embedded texts, English + translations for a few key languages... that's a lot of content). Keep fallback to English curated with a note. Let me first check integrations for AI Gateway. Let me ask the user a couple of quick questions? They want it fixed and fully functional. Cost of asking: minor. I think I should ask about which languages and whether AI-generated reflections are wanted. Actually the instruction says use AskUserQuestions when decisions matter. But they also said "It should be fully functional" — they want action. I'll ask one compact set of questions about scope (languages list, AI usage) — hmm, risk of annoyance. Given the original app is in another account and I must rebuild from scratch, I should confirm the feature set rather than guess wrong on a whole app. But they said "Pages okay" implying pages exist... in the other project. I can't see them. So I must rebuild — I'll ask a short question about which pages/features to include. Let me do a quick check on AI Gateway integration first, then ask.43:o9,10c:T677,43:o677,The Bible API is working, so I'm ready to start building. I'm thinking through the structure—it's a multi-page app with a backend, so I could break it into separate tasks, but it feels cohesive enough to keep as one. I'll use TodoManager to organize the distinct systems: the API layer, the frontend pages, and the companion features. For the design, I'm going with a warm parchment aesthetic using serif fonts for scripture passages and sans-serif for the UI. The color palette is minimal—warm off-white background, deep ink text, a bronze accent, and a few muted tones to keep it refined. Dark mode will use warm dark browns instead of pure black to maintain that warmth. Now I'm mapping out the file structure and starting to design the verse library with thematic categories like anxiety, grief, loneliness, anger, and hope. For language support, the AI will translate both the reflection and prayer into the chosen language, while also providing the verse text in that language. I'm setting up a fallback chain: first try the AI to generate everything, then fetch the English text from Bible API if needed, and if that fails entirely, fall back to the curated library with template responses. The key principle is to always return a 200 response with content—never show an error message about not reaching the Word. I'm keeping the user input validation simple: accept anything 2 characters or longer without showing a requirement message, since the AI can handle even very short prompts like "sad". Now I'm setting up the fonts using next/font with Cormorant Garamond for serif and Inter for sans, and writing out the global theme styles.43:oa,10d:T113f,43:o113f,[V0_FILE]typescript:file="/app/api/chat/route.ts" import { convertToModelMessages, createUIMessageStream, createUIMessageStreamResponse, streamText, type UIMessage, } from "ai" import { getLanguage } from "@/lib/languages" import { matchTheme, pickVerses } from "@/lib/verse-library" export const maxDuration = 60 const MODEL = "openai/gpt-5.4-mini" /** * A real, scripture-grounded reply assembled from the curated library. * Used when the model cannot be reached, so the conversation never dead-ends. */ function offlineReply(lastMessage: string) { const theme = matchTheme(lastMessage) const offset = Math.floor(Date.now() / (1000 * 60 * 60)) % 4 const verses = pickVerses(theme, 2, offset) const quoted = verses.map((v) => `“${v.text}”\n— ${v.reference}`).join("\n\n") return [ theme.acknowledgement, quoted, theme.reflection, theme.prayer, "I am reaching for the verses I keep close at hand right now, so this may feel a little more general than usual. Stay with me and keep talking.", ].join("\n\n") } function lastUserText(messages: UIMessage[]) { const last = [...messages].reverse().find((m) => m.role === "user") if (!last) return "" return last.parts .filter((part) => part.type === "text") .map((part) => ("text" in part ? part.text : "")) .join(" ") } export async function POST(req: Request) { let messages: UIMessage[] = [] let language: string | undefined try { const body = (await req.json()) as { messages?: UIMessage[]; language?: string } messages = body.messages ?? [] language = body.language } catch { // Fall through to a gentle reply below. } const lang = getLanguage(language) const latest = lastUserText(messages) const stream = createUIMessageStream({ async execute({ writer }) { const id = "companion-reply" let started = false const start = () => { if (started) return started = true writer.write({ type: "text-start", id }) } try { const result = streamText({ model: MODEL, temperature: 0.8, system: [ "You are a gentle, scripturally grounded Christian companion in an ongoing conversation.", "You listen first. You are warm, unhurried and human, never a chirpy assistant.", "", `Speak entirely in ${lang.name} (${lang.native}).`, "", "How you respond:", "- Acknowledge what they actually said before offering anything.", "- Weave in one or two Bible passages where they genuinely fit, quoting accurately and naming the reference.", "- Keep replies short: two or three small paragraphs at most. No bullet lists, no headings.", "- Ask at most one honest question, and only when it would help them keep talking.", "- Never scold, never lecture, never answer pain with a cliche.", "- If they are glad, be glad with them instead of looking for a problem.", "- If they hint at self-harm, suicide or danger, say plainly that their life matters and urge them to reach out today to someone they trust or a crisis helpline in their country.", "- You are a companion, not a doctor or a therapist. Say so if they need that kind of help.", ].join("\n"), messages: await convertToModelMessages(messages), }) for await (const delta of result.textStream) { if (!delta) continue start() writer.write({ type: "text-delta", id, delta }) } if (!started) throw new Error("empty response from model") } catch (error) { console.log("[v0] companion model unavailable, serving curated library:", (error as Error)?.message) if (started) { // Something broke mid-sentence, so close it kindly. writer.write({ type: "text-delta", id, delta: "\n\nSomething went quiet on my side. Say that again and I will stay with you.", }) } else { start() writer.write({ type: "text-delta", id, delta: offlineReply(latest) }) } } finally { if (started) writer.write({ type: "text-end", id }) } }, onError: () => "Something went quiet on the way here.", }) return createUIMessageStreamResponse({ stream }) }43:oa,10e:T113f,43:o113f,[V0_FILE]typescript:file="/app/api/chat/route.ts" import { convertToModelMessages, createUIMessageStream, createUIMessageStreamResponse, streamText, type UIMessage, } from "ai" import { getLanguage } from "@/lib/languages" import { matchTheme, pickVerses } from "@/lib/verse-library" export const maxDuration = 60 const MODEL = "openai/gpt-5.4-mini" /** * A real, scripture-grounded reply assembled from the curated library. * Used when the model cannot be reached, so the conversation never dead-ends. */ function offlineReply(lastMessage: string) { const theme = matchTheme(lastMessage) const offset = Math.floor(Date.now() / (1000 * 60 * 60)) % 4 const verses = pickVerses(theme, 2, offset) const quoted = verses.map((v) => `“${v.text}”\n— ${v.reference}`).join("\n\n") return [ theme.acknowledgement, quoted, theme.reflection, theme.prayer, "I am reaching for the verses I keep close at hand right now, so this may feel a little more general than usual. Stay with me and keep talking.", ].join("\n\n") } function lastUserText(messages: UIMessage[]) { const last = [...messages].reverse().find((m) => m.role === "user") if (!last) return "" return last.parts .filter((part) => part.type === "text") .map((part) => ("text" in part ? part.text : "")) .join(" ") } export async function POST(req: Request) { let messages: UIMessage[] = [] let language: string | undefined try { const body = (await req.json()) as { messages?: UIMessage[]; language?: string } messages = body.messages ?? [] language = body.language } catch { // Fall through to a gentle reply below. } const lang = getLanguage(language) const latest = lastUserText(messages) const stream = createUIMessageStream({ async execute({ writer }) { const id = "companion-reply" let started = false const start = () => { if (started) return started = true writer.write({ type: "text-start", id }) } try { const result = streamText({ model: MODEL, temperature: 0.8, system: [ "You are a gentle, scripturally grounded Christian companion in an ongoing conversation.", "You listen first. You are warm, unhurried and human, never a chirpy assistant.", "", `Speak entirely in ${lang.name} (${lang.native}).`, "", "How you respond:", "- Acknowledge what they actually said before offering anything.", "- Weave in one or two Bible passages where they genuinely fit, quoting accurately and naming the reference.", "- Keep replies short: two or three small paragraphs at most. No bullet lists, no headings.", "- Ask at most one honest question, and only when it would help them keep talking.", "- Never scold, never lecture, never answer pain with a cliche.", "- If they are glad, be glad with them instead of looking for a problem.", "- If they hint at self-harm, suicide or danger, say plainly that their life matters and urge them to reach out today to someone they trust or a crisis helpline in their country.", "- You are a companion, not a doctor or a therapist. Say so if they need that kind of help.", ].join("\n"), messages: await convertToModelMessages(messages), }) for await (const delta of result.textStream) { if (!delta) continue start() writer.write({ type: "text-delta", id, delta }) } if (!started) throw new Error("empty response from model") } catch (error) { console.log("[v0] companion model unavailable, serving curated library:", (error as Error)?.message) if (started) { // Something broke mid-sentence, so close it kindly. writer.write({ type: "text-delta", id, delta: "\n\nSomething went quiet on my side. Say that again and I will stay with you.", }) } else { start() writer.write({ type: "text-delta", id, delta: offlineReply(latest) }) } } finally { if (started) writer.write({ type: "text-end", id }) } }, onError: () => "Something went quiet on the way here.", }) return createUIMessageStreamResponse({ stream }) }43:o17385,e9:["$","$Leb",null,{"params":{"chatId":"gSdMZEssTfR"},"promises":{"attributes":"$@f5","externalMeta":"$@f6","latest":"$@f7","messagesRange":"$@f8","messages":"$@f9","template":"$@fa","gitStatus":"$@fb"},"children":["$","$Lfd",null,{"chatId":"gSdMZEssTfR","children":["$","$Lfe",null,{"seedOnlyKeys":["@\"chat:state\",\"gSdMZEssTfR\","],"data":{"block:output:initial":{"id":"b_HdZ4aXZcWEv","result":"$@ff"},"/chat/api/snapshots/proxy?chatId=gSdMZEssTfR&messageId=AYHKLVKlWaR9D2ehY7ri5iHUc6nFOjaj&v=v2":"$@100","@\"block:mappings\",\"gSdMZEssTfR\",":{"sqlBlockExecutionStates":"$Q101","blocksForkedFrom":"$Q102","blocksTemplateIds":"$Q103","blocksCreatedAt":"$Q104","blocksShared":"$Q105","blocksDeployed":"$Q106","blocksSubdomains":"$Q107","brandedBlocks":"$Q108","unlistedBlocks":"$Q109","blockOutputs":"$Q10a"},"@\"chat:state\",\"gSdMZEssTfR\",":{"messages":[{"content":{"type":"parts","parts":[{"type":"mdx","content":"v0.app/chat/living-word-companion-lCD88b4uNmg. \nThis is the website I created in another account. When I give like I'm feeling happy, or sad, it's saynig it couldn't reach the Word. Fix it. If possible, use API and connect back end. Languages okay. Pages okay. And don't make it so obvious that we need to give like \"For more than sentecnce\" Instead, use like \"Pour your heart here\" something like that. It should be fully functional. "}],"version":1},"role":"user","id":"jPiGmVdPaEiB4TKhvC0ccVCAquTp87cz","attachments":[],"type":"message","authorId":"Zy9ThpqdBqJ62qMLvphAbZs7","createdAt":"$D2026-07-26T11:57:26.836Z"},{"v0ModelId":"v0-opus-5","content":{"type":"message-binary-format","value":[[0,[["p",{},["text",{},"I'll look at the current project to understand what's there before fixing anything."]],["AssistantMessageContentPart",{"part":{"createdAt":1785067050639,"finishedAt":1785067053165,"lastPartSentAt":1785067053025,"taskNameActive":"Listing project files","taskNameComplete":"Listed project files","toolCallId":"toolu_019YBRXd4G82oWsB4WX8BAWa","agentTurnId":"turn_aU0uvnYyMvirmBvR","filePath":null,"id":"wJxIPQRwnJ2e62AX","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"ls -la /vercel/share/v0-project"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"K2GzFNE4y9w7Hqpi"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 160\ndrwxr-xr-x 8 vercel-sandbox vercel-sandbox 297 Jul 26 11:57 .\ndrwxr-xr-x 9 vercel-sandbox vercel-sandbox 328 Jul 26 11:57 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 264 Jul 26 11:57 .env.development.local\n-rw-r--r-- 1 vercel\n\n...\n\n26 pnpm-lock.yaml\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 144 Jul 25 16:25 postcss.config.mjs\ndrwxr-xr-x 2 vercel-sandbox vercel-sandbox 229 Jul 25 16:25 public\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 695 Jul 25 16:29 tsconfig.json\n"},"id":"EiLF0mC1T1nLnQc2"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785067051075,"finishedAt":1785067052821,"lastPartSentAt":1785067052795,"taskNameActive":"Finding source files","taskNameComplete":"Found source files","toolCallId":"toolu_01M4WGFy3S1QuGAu8ZqXiKNQ","agentTurnId":"turn_aU0uvnYyMvirmBvR","filePath":null,"id":"lR1bqEeH4MlIQcYg","type":"task-ls-repo-v1","parts":[{"type":"ls"},{"type":"ls-results","numFiles":8162}]}}],["p",{},["text",{},"The project here is essentially an empty scaffold — the app you described lives in another chat/account, so nothing of it exists in this workspace."]],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"J64Ifx6gyTqu7jHc-AD759HCVVsUX44W7-anbhKFYJ76W77nIv","parts":[{"createdAt":1785067057505,"finishedAt":1785067059845,"lastPartSentAt":1785067059801,"taskNameActive":"Reading page and layout","taskNameComplete":"Read page and layout","toolCallId":"toolu_01UPPuVKtUa6wtwB5gLa2yQQ","agentTurnId":"turn_sky4CdfLlREgomAA","filePath":null,"id":"J64Ifx6gyTqu7jHc","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/app/page.tsx"}]},{"createdAt":1785067058415,"finishedAt":1785067059702,"lastPartSentAt":1785067059659,"taskNameActive":"Reading layout","taskNameComplete":"Read layout","toolCallId":"toolu_01X8LXu2LS25YqiXDHTi1NJj","agentTurnId":"turn_sky4CdfLlREgomAA","filePath":null,"id":"AD759HCVVsUX44W7","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/app/layout.tsx"}]},{"createdAt":1785067059007,"finishedAt":1785067059393,"lastPartSentAt":1785067059311,"taskNameActive":"Reading package.json","taskNameComplete":"Read package.json","toolCallId":"toolu_01FfahgTnQXjPoNuDZFUy5eu","agentTurnId":"turn_sky4CdfLlREgomAA","filePath":null,"id":"anbhKFYJ76W77nIv","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/package.json"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 3 Files","taskNameComplete":"Explore • 3 Files"},"id":"J64Ifx6gyTqu7jHc-AD759HCVVsUX44W7-anbhKFYJ76W77nIv"}],["AssistantMessageContentPart",{"part":{"type":"task-thinking-v1","id":"thinking-0","parts":[{"type":"thinking-end","duration":21.370588235294118,"thought":"$10b"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1},"id":"thinking-0"}],["p",{},["text",{},"Before I build, let me check what's connected for the backend."]],["AssistantMessageContentPart",{"part":{"createdAt":1785067082330,"finishedAt":1785067082669,"lastPartSentAt":1785067082648,"taskNameActive":"Checking integrations","taskNameComplete":"Checked integrations","toolCallId":"toolu_01MXZKqFjiMKQZrAZf7LGnke","agentTurnId":"turn_BcucZ0Bor8o70YrD","filePath":null,"id":"wEwjDDKXqvxX2J9u","type":"task-get-or-request-integration-v1","parts":[{"type":"starting-integration-status-check"}]}}],["p",{},["text",{},"Vercel AI Gateway is connected, so I can build a real AI backend. Since the original app lives in another account, I need to rebuild it here — let me confirm the scope so it matches what you had."]],["AssistantMessageContentPart",{"part":{"createdAt":1785067095312,"finishedAt":1785067095626,"stopped":{"reason":"user-input-required"},"lastPartSentAt":1785067095536,"taskNameActive":"Confirming app scope","taskNameComplete":"Confirmed app scope","toolCallId":"toolu_01SRKaXe59DDLQXC6KDVy8J3","agentTurnId":"turn_iL5poZKrZ17D2EtP","filePath":null,"id":"KiLgtsHI2zs75LA3","type":"task-ask-user-questions-v1","parts":[{"type":"asking-questions","questions":[{"id":"q-0","question":"Which pages should the rebuilt app include?","header":"Pages","options":[{"id":"q-0-opt-0","label":"Home (feelings → verses)","description":"The main page where you pour out your heart and receive scripture, reflection, and a prayer."},{"id":"q-0-opt-1","label":"Daily verse","description":"A verse of the day page that changes each day."},{"id":"q-0-opt-2","label":"Saved verses","description":"Keep the verses that spoke to you (stored in a database so they persist)."},{"id":"q-0-opt-3","label":"Topics / browse","description":"Browse scripture by theme: anxiety, grief, gratitude, guidance, forgiveness, etc."},{"id":"q-0-opt-4","label":"About","description":"A short page explaining the heart behind the app."}],"multiSelect":true},{"id":"q-1","question":"Which languages should the companion respond in?","header":"Languages","options":[{"id":"q-1-opt-0","label":"English + Telugu + Hindi","description":"Good default for an Indian-English audience."},{"id":"q-1-opt-1","label":"English only","description":"Simplest, fastest."},{"id":"q-1-opt-2","label":"English, Spanish, French, Portuguese","description":"Wider global reach."},{"id":"q-1-opt-3","label":"Many languages (10+)","description":"English, Telugu, Hindi, Tamil, Malayalam, Kannada, Spanish, French, Portuguese, Korean, Chinese."}],"multiSelect":true},{"id":"q-2","question":"How should the scripture text be sourced?","header":"Verse source","options":[{"id":"q-2-opt-0","label":"AI + public Bible API + offline fallback (Recommended)","description":"AI picks fitting verses, real text is pulled from a free Bible API, and a built-in curated verse library guarantees it never fails."},{"id":"q-2-opt-1","label":"AI only","description":"Fastest to build; verse wording comes from the model."},{"id":"q-2-opt-2","label":"Curated library only, no AI","description":"Fully offline keyword matching. Very reliable but less personal."}],"multiSelect":false},{"id":"q-3","question":"Should saved verses and your reflections persist across devices?","header":"Saving data","options":[{"id":"q-3-opt-0","label":"Yes — add a Neon database","description":"Journal entries and saved verses stored server-side and persist permanently."},{"id":"q-3-opt-1","label":"No — keep it in the browser","description":"Nothing stored on a server; simpler, private to the device."}],"multiSelect":false}]}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"nGUuRUW1T2GRc6iP9LwDmVIaFAC2EeOS","gitRevision":null,"streaming":false,"finishReason":"tool-calls","parentId":"jPiGmVdPaEiB4TKhvC0ccVCAquTp87cz","type":"message","creditCost":0.5140395,"workMetrics":{"diffMap":{},"linesRead":136,"agentActions":7},"createdAt":"$D2026-07-26T11:57:26.837Z","updatedAt":"$D2026-07-26T11:58:15.763Z"},{"content":{"type":"parts","parts":[{"type":"answered-questions","answers":[{"questionId":"q-0","questionText":"Which pages should the rebuilt app include?","selectedLabels":["Home (feelings → verses)"],"customText":"feelings, companion"},{"questionId":"q-1","questionText":"Which languages should the companion respond in?","selectedLabels":[],"customText":"So, we can select our language. 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data.\n\nMany language models are\n\n...\n\nvide an `onError` callback:\n\n```tsx highlight=\"6-8\"\nimport { streamText, Output } from 'ai';\n\nconst result = streamText({\n"},"id":"F5Fv74ZkLKhJ9ih2"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785067223832,"finishedAt":1785067226711,"lastPartSentAt":1785067226711,"taskNameActive":null,"id":"6ttl5sdbymYw8XJb","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":3,"thought":"Now I'm mapping out the architecture: I'll need a language configuration file, an offline verse library organized by theme with keyword matching for fallback, a module to fetch verses from the Bible API, and an API route that takes user feelings and language, uses AI to select relevant verse references and generate reflection plus prayer, then enriches everything with actual verse text.\n\nI'm also planning the chat streaming endpoint and the three main pages. The critical piece is ensuring the system never fails — if the Bible API is unreachable, it falls back to the curated library. Let me verify the API actually works from this environment first."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785067227159,"finishedAt":1785067228430,"lastPartSentAt":1785067228264,"taskNameActive":"Testing Bible APIs","taskNameComplete":"Tested Bible APIs","toolCallId":"toolu_01KoZwSRWDyXpsuXe1evDggP","agentTurnId":"turn_9hxMI7O9szpEB2Ck","filePath":null,"id":"EK9QdDpiZy6jL06n","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"echo \"--- bible-api.com ---\"; curl -s --max-time 12 \"https://bible-api.com/john+14:27\" | head -c 600; echo; echo \"--- kjv translation param ---\"; curl -s --max-time 12 \"https://bible-api.com/psalm+34:18?translation=web\" | head -c 400; echo"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"3eywZWyIPZb675JY"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"--- bible-api.com ---\n{\"reference\":\"John 14:27\",\"verses\":[{\"book_id\":\"JHN\",\"book_name\":\"John\",\"chapter\":14,\"verse\":27,\"text\":\"\\nPeace I leave with you. My peace I give to you; not as the world gives, give I to you. Don’t let your heart be troubled, n"},"id":"Z67dSxNIAGvmh7dH"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"either let it be fearful.\\n\\n\"}],\"text\":\"\\nPeace I leave with you. My peace I give to you; not as the world gives, give I\n\n...\n\n who have a crushed spirit.\\n\",\"translation_id\":\"web\",\"translation_name\":\"World English Bible\",\"translation_note\":\"Public\n"},"id":"klQ6aKuwL9uDWOUm"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785067233945,"finishedAt":1785067249464,"lastPartSentAt":1785067249464,"taskNameActive":null,"id":"3cihcfSy1kUHDOoN","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":16,"thought":"$10c"}]}}],["p",{},["text",{},"Bible API works and AI Gateway is connected. Let me build the app."]],["AssistantMessageContentPart",{"part":{"createdAt":1785067249671,"finishedAt":1785067250263,"lastPartSentAt":1785067250242,"taskNameActive":"Planning build","taskNameComplete":"Planned build","toolCallId":"toolu_01DYd97112yHFXpTW6UZjpDL","agentTurnId":"turn_TpaYtpUR8Nc0y4Gm","filePath":null,"id":"opAVA92IALk1isvD","type":"task-manage-todos-v1","parts":[{"type":"starting-todo-manager"},{"type":"updated-todo-list","updatedList":[{"status":"in-progress","task":"Build backend: verse library, Bible API layer, and AI guidance route with fallbacks"},{"status":"todo","task":"Build Home page with 'Pour your heart here' entry and language selector"},{"status":"todo","task":"Build Feelings page"},{"status":"todo","task":"Build Companion conversation page with streaming 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I need to decide between using the useChat hook from the AI SDK or implementing a manual fetch-based streaming approach—useChat is cleaner, but I want to verify the documentation for AI SDK 7 to make sure I'm using the right version and avoiding compatibility issues."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785067482375,"finishedAt":1785067484342,"lastPartSentAt":1785067484145,"taskNameActive":"Checking chatbot docs","taskNameComplete":"Checked chatbot docs","toolCallId":"toolu_01HhjixQGLSWTzjPqWVswvex","agentTurnId":"turn_jA87kqpLWdwjvS0E","filePath":null,"id":"OiZQfvPQJ4omcRU2","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && sed -n '1,90p' node_modules/ai/docs/04-ai-sdk-ui/02-chatbot.mdx"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"CdSrYJbNiCYQzfJt"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"---\ntitle: Chatbot\ndescription: Learn how to use the useChat hook.\n---\n\n# Chatbot\n\nThe `useChat` hook makes it effortless to create a conversational user interface for your chatbot application. 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\nGENERATING\n[V0_FILE]tsx:file=\"components/ui/card.tsx\" \nGENERATING\n[V0_FILE]tsx:file=\"components/ui/select.tsx\" \nGENERATING\n[V0_FILE]tsx:file=\"components/ui/separator.tsx\" \nGENERATING\n[V0_FILE]tsx:file=\"components/ui/skeleton.tsx\" \nGENERATING\n[V0_FILE]tsx:file=\"components/ui/textarea.tsx\" \nGENERATING","latestDeploymentInfo":"$106:13:1","lastDeployedAt":"2026-07-26T12:10:09.729Z","sourceVersionKey":"v_1_utijr_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_KAFFNEoZU7x","meta":{"taskNameActive":"Applying changes","taskNameComplete":"Applied changes","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Applying changes","taskNameComplete":"Applied changes"},"id":"block-b_KAFFNEoZU7x"}],["AssistantMessageContentPart",{"part":{"createdAt":1785067606406,"finishedAt":1785067607029,"lastPartSentAt":1785067607008,"taskNameActive":"Reading select 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Rather than wrestling with the component's API, I'll build a custom language picker from scratch to keep things straightforward.\n\nA styled native `