{props.title}

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_272":273,"_274":275},"routes/_app.x.$handle.$name",{"_101":100,"_32":46,"_110":91,"_27":111,"_13":14,"_112":-5,"_11":113,"_114":115,"_116":117,"_118":119,"_120":121,"_20":-5,"_122":-5,"_123":-5,"_124":25,"_125":126,"_127":60,"_128":-5,"_129":-5,"_130":131},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_44":45,"_32":46,"_39":47,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":58,"_59":60,"_61":-5,"_62":-5,"_63":64,"_65":66,"_67":68,"_69":70,"_71":72,"_73":-5,"_74":75,"_76":75,"_77":78,"_79":78,"_80":78,"_81":75,"_82":75,"_83":84,"_85":86,"_87":88,"_89":25},"version",39,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":35,"_36":38,"_39":40,"_41":14,"_42":43,"_24":25},"previous",{"_30":31,"_32":33,"_34":35,"_36":37},"deleted",false,"deletedHere","path","lib/store.ts","latestPath","fileId","b7032294-7aee-11f1-967c-1607ee4eb77e","name","store.ts","fileType","script","content","// Metadata lives in val-scoped SQLite; message bodies live in val-scoped blob\n// storage under `chat:`. Both are invisible to the public even though the\n// val's code is public.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nexport type Role = \"user\" | \"assistant\";\nexport type Message = { role: Role; content: string };\nexport type Chat = {\n id: string;\n title: string;\n source: string | null;\n messageCount: number;\n createdAt: string;\n messages: Message[];\n};\n\nconst TABLE = \"chats_v1\";\n\nlet ready: Promise | null = null;\nfunction ensureTable() {\n ready ??= sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLE} (\n id TEXT PRIMARY KEY,\n title TEXT NOT NULL,\n source TEXT,\n message_count INTEGER NOT NULL,\n delete_token TEXT NOT NULL,\n created_at TEXT NOT NULL\n )`);\n return ready;\n}\n\n// 16 random bytes → 22-char base64url. Unguessable; doubles as the only key to a chat.\nfunction randomToken(): string {\n const buf = new Uint8Array(16);\n crypto.getRandomValues(buf);\n return btoa(String.fromCharCode(...buf))\n .replaceAll(\"+\", \"-\")\n .replaceAll(\"/\", \"_\")\n .replaceAll(\"=\", \"\");\n}\n\nexport async function createChat(\n input: { title: string; source: string | null; messages: Message[] },\n): Promise<{ id: string; deleteToken: string }> {\n await ensureTable();\n const id = randomToken();\n const deleteToken = randomToken();\n const createdAt = new Date().toISOString();\n await blob.setJSON(`chat:${id}`, { messages: input.messages });\n await sqlite.execute({\n sql:\n `INSERT INTO ${TABLE} (id, title, source, message_count, delete_token, created_at) VALUES (?, ?, ?, ?, ?, ?)`,\n args: [id, input.title, input.source, input.messages.length, deleteToken, createdAt],\n });\n return { id, deleteToken };\n}\n\nexport async function getChat(id: string): Promise {\n await ensureTable();\n const res = await sqlite.execute({\n sql: `SELECT title, source, message_count, created_at FROM ${TABLE} WHERE id = ?`,\n args: [id],\n });\n const row = res.rows[0] as\n | { title: string; source: string | null; message_count: number; created_at: string }\n | undefined;\n if (!row) return null;\n const data = (await blob.getJSON(`chat:${id}`)) as { messages: Message[] } | undefined;\n if (!data?.messages) return null;\n return {\n id,\n title: String(row.title),\n source: row.source ? String(row.source) : null,\n messageCount: Number(row.message_count),\n createdAt: String(row.created_at),\n messages: data.messages,\n };\n}\n\nexport async function deleteChat(\n id: string,\n token: string,\n): Promise<\"deleted\" | \"not_found\" | \"bad_token\"> {\n await ensureTable();\n const res = await sqlite.execute({\n sql: `SELECT delete_token FROM ${TABLE} WHERE id = ?`,\n args: [id],\n });\n const row = res.rows[0] as { delete_token: string } | undefined;\n if (!row) return \"not_found\";\n if (String(row.delete_token) !== token) return \"bad_token\";\n await blob.delete(`chat:${id}`);\n await sqlite.execute({ sql: `DELETE FROM ${TABLE} WHERE id = ?`, args: [id] });\n return \"deleted\";\n}\n","// Metadata lives in val-scoped SQLite; message bodies live in val-scoped blob\n// storage under `chat:`. Both are invisible to the public even though the\n// val's code is public.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nexport type Role = \"user\" | \"assistant\";\nexport type TurnMessage = { role: Role; content: string };\n// A tool call sits between turns, like Claude Code's /export: what ran, with what\n// input, and what came back. input/output are plain text, not markdown.\nexport type ToolMessage = { role: \"tool\"; name: string; input?: string; output?: string };\nexport type Message = TurnMessage | ToolMessage;\nexport type Chat = {\n id: string;\n title: string;\n source: string | null;\n messageCount: number;\n createdAt: string;\n messages: Message[];\n};\n\nconst TABLE = \"chats_v1\";\n\nlet ready: Promise | null = null;\nfunction ensureTable() {\n ready ??= sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLE} (\n id TEXT PRIMARY KEY,\n title TEXT NOT NULL,\n source TEXT,\n message_count INTEGER NOT NULL,\n delete_token TEXT NOT NULL,\n created_at TEXT NOT NULL\n )`);\n return ready;\n}\n\n// 16 random bytes → 22-char base64url. Unguessable; doubles as the only key to a chat.\nfunction randomToken(): string {\n const buf = new Uint8Array(16);\n crypto.getRandomValues(buf);\n return btoa(String.fromCharCode(...buf))\n .replaceAll(\"+\", \"-\")\n .replaceAll(\"/\", \"_\")\n .replaceAll(\"=\", \"\");\n}\n\nexport async function createChat(\n input: { title: string; source: string | null; messages: Message[] },\n): Promise<{ id: string; deleteToken: string }> {\n await ensureTable();\n const id = randomToken();\n const deleteToken = randomToken();\n const createdAt = new Date().toISOString();\n await blob.setJSON(`chat:${id}`, { messages: input.messages });\n await sqlite.execute({\n sql:\n `INSERT INTO ${TABLE} (id, title, source, message_count, delete_token, created_at) VALUES (?, ?, ?, ?, ?, ?)`,\n args: [id, input.title, input.source, input.messages.length, deleteToken, createdAt],\n });\n return { id, deleteToken };\n}\n\nexport async function getChat(id: string): Promise {\n await ensureTable();\n const res = await sqlite.execute({\n sql: `SELECT title, source, message_count, created_at FROM ${TABLE} WHERE id = ?`,\n args: [id],\n });\n const row = res.rows[0] as\n | { title: string; source: string | null; message_count: number; created_at: string }\n | undefined;\n if (!row) return null;\n const data = (await blob.getJSON(`chat:${id}`)) as { messages: Message[] } | undefined;\n if (!data?.messages) return null;\n return {\n id,\n title: String(row.title),\n source: row.source ? String(row.source) : null,\n messageCount: Number(row.message_count),\n createdAt: String(row.created_at),\n messages: data.messages,\n };\n}\n\nexport async function deleteChat(\n id: string,\n token: string,\n): Promise<\"deleted\" | \"not_found\" | \"bad_token\"> {\n await ensureTable();\n const res = await sqlite.execute({\n sql: `SELECT delete_token FROM ${TABLE} WHERE id = ?`,\n args: [id],\n });\n const row = res.rows[0] as { delete_token: string } | undefined;\n if (!row) return \"not_found\";\n if (String(row.delete_token) !== token) return \"bad_token\";\n await blob.delete(`chat:${id}`);\n await sqlite.execute({ sql: `DELETE FROM ${TABLE} WHERE id = ?`, args: [id] });\n return \"deleted\";\n}\n","createdAt",["D",1783538027302],"branchVersion","branchId","7647e1b0-421b-4379-bd33-75448f6bb9c0","id","78ff5b87-80e6-48ec-8e97-18f60994a058","sharechat",["D",1783529750134],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Share AI chats as clean unlisted links","imageUrl","9319c175-2593-4f88-ba21-04f2ef7b1c28","pinnedFileId","2a39445a-7aef-11f1-973c-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","ba7bb5fb-1abb-4ffb-8f3d-7c244782e5f7","tursoName","78ff5b8780e648ec8e9718f60994a058","tursoHostname","78ff5b8780e648ec8e9718f60994a058-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789524636084],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_101":100,"_109":105},"org",{"_101":100,"_102":103,"_104":105,"_18":-5,"_106":107,"_108":60},"branch",{"_13":90,"_32":91,"_44":43,"_92":45,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":-5,"_98":46,"_99":100},"isOwned",91,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","valdottown","handle","displayName","Val Town ","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJyWnQ5cFE0c3pleVRCSEVTWmxzaXJsTUlGciJ9","tier","business","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_44":45,"_32":46,"_39":267,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":58,"_59":60,"_61":-5,"_62":-5,"_63":64,"_65":66,"_67":68,"_69":70,"_71":268,"_73":-5,"_74":75,"_76":75,"_77":78,"_79":78,"_80":78,"_81":75,"_82":75,"_83":269,"_85":270,"_87":271,"_89":25},"tree",[187,192,196,197,198],"files",[187,188,189,190,191,192,193,194,195,196,197,198],"counts",{"_176":64,"_177":178,"_179":64,"_180":181,"_182":183},"contents",[132,133,134,135,136],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_44":170,"_32":171,"_30":172,"_139":-5,"_42":43,"_41":173,"_141":60,"_39":174,"_13":64,"_34":168,"_36":-5,"_24":25,"_146":-5,"_27":175},{"_44":163,"_32":164,"_30":165,"_139":-5,"_42":43,"_41":166,"_141":60,"_39":167,"_13":64,"_34":168,"_36":-5,"_24":25,"_146":-5,"_27":169},{"_44":156,"_32":157,"_30":158,"_139":-5,"_42":43,"_41":159,"_141":25,"_39":160,"_13":64,"_34":20,"_36":161,"_24":25,"_146":-5,"_27":162},{"_44":148,"_32":149,"_30":150,"_139":-5,"_42":43,"_41":151,"_141":25,"_39":152,"_13":153,"_34":20,"_36":154,"_24":25,"_146":-5,"_27":155},{"_44":137,"_32":138,"_30":58,"_139":-5,"_42":43,"_41":140,"_141":25,"_39":142,"_13":143,"_34":144,"_36":145,"_24":25,"_146":46,"_27":147},"93efbefd-000f-43b6-8318-1a8f41fff8dd","main.tsx","parentId",28,"latest",["D",1783533425020],4,"http","/** @jsxImportSource npm:hono@4/jsx */\n// chat.val.run — share an AI conversation as a clean, unlisted link.\n// Homepage doubles as agent instructions (instructions.md): browsers get HTML,\n// everything else gets raw markdown. No auth, no list endpoint, 128-bit IDs.\n// The docs use a {{BASE}} placeholder substituted with the request origin, so\n// the val works unchanged on any subdomain.\nimport { type Context, Hono } from \"npm:hono@4\";\nimport { readFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { type Chat, createChat, deleteChat, getChat } from \"./lib/store.ts\";\nimport { parseChatInput } from \"./lib/validate.ts\";\nimport { readJsonBody } from \"./lib/body.ts\";\nimport { ChatPage } from \"./views/chat.tsx\";\nimport { NotFoundPage } from \"./views/layout.tsx\";\nimport { HomePage } from \"./views/home.tsx\";\n\nconst INSTRUCTIONS_MD = await readFile(\"/instructions.md\", import.meta.url);\nconst MD = \"text/markdown; charset=utf-8\";\n\nconst originOf = (c: Context) => new URL(c.req.url).origin;\nconst hostOf = (c: Context) => new URL(c.req.url).host;\nconst instructionsFor = (c: Context) => INSTRUCTIONS_MD.replaceAll(\"{{BASE}}\", originOf(c));\nconst wantsHtml = (c: Context) => (c.req.header(\"accept\") ?? \"\").includes(\"text/html\");\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\napp.get(\"/\", (c) =>\n wantsHtml(c)\n ? c.html()\n : c.text(instructionsFor(c), 200, { \"content-type\": MD }));\n\n// The machine-readable instructions. `/llms.txt` is the convention an agent\n// probes; the bare GET above returns the same thing for a plain fetch/curl.\napp.get(\"/llms.txt\", (c) => c.text(instructionsFor(c), 200, { \"content-type\": MD }));\napp.get(\"/instructions.md\", (c) => c.text(instructionsFor(c), 200, { \"content-type\": MD }));\n\nasync function handleCreate(c: Context) {\n const origin = originOf(c);\n let body: unknown;\n try {\n body = await readJsonBody(c.req.raw);\n } catch {\n return c.json({ ok: false, error: `Body must be valid JSON. GET ${origin} for the format.` }, 400);\n }\n const parsed = parseChatInput(body);\n if (!parsed.ok) return c.json({ ok: false, error: parsed.error, docs: origin }, 400);\n const { id, deleteToken } = await createChat(parsed.value);\n return c.json({\n ok: true,\n id,\n url: `${origin}/c/${id}`,\n markdownUrl: `${origin}/c/${id}.md`,\n jsonUrl: `${origin}/c/${id}.json`,\n deleteUrl: `${origin}/c/${id}?token=${deleteToken}`,\n note: \"Give your human the `url` — that's the shareable link. To delete: curl -X DELETE ''\",\n }, 201);\n}\n\napp.post(\"/api/chats\", handleCreate);\napp.post(\"/\", handleCreate);\n\n// Unlisted means unlisted: even if a link leaks to a crawler, don't index it.\napp.use(\"/c/*\", async (c, next) => {\n await next();\n c.res.headers.set(\"X-Robots-Tag\", \"noindex\");\n});\n\nfunction transcriptMd(chat: Chat, origin: string): string {\n const meta = `${chat.messageCount} messages · ${chat.createdAt.slice(0, 10)}` +\n `${chat.source ? ` · via ${chat.source}` : \"\"} · ${origin}/c/${chat.id}`;\n const body = chat.messages\n .map((m) => `---\\n\\n**${m.role === \"user\" ? \"You\" : chat.source || \"Assistant\"}:**\\n\\n${m.content}\\n`)\n .join(\"\\n\");\n return `# ${chat.title}\\n\\n${meta}\\n\\n${body}`;\n}\n\napp.get(\"/c/:id\", async (c) => {\n let id = c.req.param(\"id\");\n let format: \"html\" | \"md\" | \"json\" | null = null;\n if (id.endsWith(\".json\")) {\n id = id.slice(0, -5);\n format = \"json\";\n } else if (id.endsWith(\".md\")) {\n id = id.slice(0, -3);\n format = \"md\";\n }\n if (!format) {\n const accept = c.req.header(\"accept\") ?? \"\";\n format = accept.includes(\"text/html\") ? \"html\" : accept.includes(\"application/json\") ? \"json\" : \"md\";\n }\n const chat = await getChat(id);\n if (!chat) {\n return format === \"html\"\n ? c.html(, 404)\n : c.json({ ok: false, error: \"Chat not found. It may have been deleted.\" }, 404);\n }\n if (format === \"json\") {\n return c.json({\n id: chat.id,\n title: chat.title,\n source: chat.source,\n createdAt: chat.createdAt,\n messages: chat.messages,\n });\n }\n if (format === \"md\") return c.text(transcriptMd(chat, originOf(c)), 200, { \"content-type\": MD });\n return c.html();\n});\n\napp.delete(\"/c/:id\", async (c) => {\n const id = c.req.param(\"id\").replace(/\\.(md|json)$/, \"\");\n const token = c.req.query(\"token\") ?? \"\";\n if (!token) {\n return c.json({ ok: false, error: \"Missing ?token= — use the deleteUrl returned when the chat was created.\" }, 400);\n }\n const result = await deleteChat(id, token);\n if (result === \"not_found\") return c.json({ ok: false, error: \"Chat not found (already deleted?)\" }, 404);\n if (result === \"bad_token\") return c.json({ ok: false, error: \"Invalid delete token.\" }, 403);\n return c.json({ ok: true, deleted: id });\n});\n\napp.notFound((c) =>\n wantsHtml(c)\n ? c.html(, 404)\n : c.text(`Not found. GET ${originOf(c)} for usage.\\n`, 404));\n\nexport default app.fetch;\n","label",[138],"323b5166-baa8-4bf7-9721-1569e52813e1","instructions.md","b047e6ec-7aee-11f1-9a7b-1607ee4eb77e",33,["D",1783534342211],7,"---\nname: sharechat\ndescription: Publish an AI conversation as a clean, unlisted link. POST the dialog, get a URL back. For agents — Claude Code, Codex, Cursor, anything that can make an HTTP request.\n---\n\nExport a conversation to a shareable page, then hand your human the link. This is a faithful export, not a retelling.\n\n1. **Use the turns verbatim.** Copy the `user` and `assistant` messages exactly as written — do not paraphrase, summarize, rewrite, or add anything. Just drop the interstitial machinery that's already collapsed in the transcript: tool calls, tool results, CLI output, and reasoning/thinking blocks.\n\n2. **POST the chat** to `{{BASE}}/api/chats`, gzipping the body. The host inspects uncompressed request bodies and rejects code-heavy ones, so gzip is the reliable path:\n\n```bash\ngzip -c chat.json | curl -s {{BASE}}/api/chats \\\n -H 'content-type: application/json' \\\n -H 'content-encoding: gzip' \\\n --data-binary @-\n\n# chat.json\n# {\"title\"?, \"source\"?, \"messages\": [{\"role\": \"user\"|\"assistant\", \"content\": \"…\"}, …]}\n```\n\n3. **Give your human the `url`** from the response — that's the shareable link. The response also includes a `deleteUrl`; pass it along so they can take the chat down anytime.\n\n`content` is markdown. `source` (e.g. `\"claude-code\"`) shows as a small label. Read a chat back at `/c/.md` or `/c/.json`.\n",[149],"02112d83-5c2a-4f59-8ec1-455f15f27358","README.md","2e6a93a8-7aef-11f1-91b0-1607ee4eb77e",9,["D",1783530311702],"# chat.val.run\n\nShare an AI conversation as a clean, **unlisted** web page — like a ChatGPT/Claude share link, but for any agent (Claude Code, Codex, Cursor, …).\n\n**The homepage is the API doc.** `curl https://chat.val.run` returns agent instructions as markdown; browsers get the styled version. Agents read it, POST the dialog, and hand their human back a URL.\n\n## Endpoints\n\n- `POST /api/chats` (or `POST /`) — `{title?, source?, messages: [{role: \"user\"|\"assistant\", content}]}` → `{url, deleteUrl, …}`\n- `GET /c/` — web page (browsers) or markdown transcript (everyone else)\n- `GET /c/.md` / `GET /c/.json` — explicit formats\n- `DELETE /c/?token=…` — permanent delete\n\n## Design\n\n- **Storage**: metadata in val-scoped SQLite (`chats_v1`), message bodies in val-scoped blob storage (`chat:`). Neither is public even though this code is.\n- **Unlisted**: 128-bit random IDs, no list endpoint, `noindex` on chat pages, `no-referrer` on outbound links. No auth — treat links as secrets, don't post credentials.\n- **Rendering**: server-side only, zero client JS. Markdown goes through an escape-first renderer ([lib/markdown.ts](lib/markdown.ts)) so posted content can't inject markup; images render as links so pages can't beacon viewers.\n- **UI**: follows the `valtown-ui` skill (IBM Plex Sans, black-on-white, slate + sky, 8px radius).\n",[157],"3faab3eb-4da1-4804-b831-efa276da8957","views","157f0e0e-2693-4209-9101-95e8dff9b640",5,["D",1783530276912],"directory",[164],"f0160d3f-bfd6-4748-8e52-7ddd18bbc41a","lib","976f85c0-d44b-4e80-a811-be75936355c6",2,["D",1783530111563],[171],"pulls","branches",1,"forks","envVars",{"_184":64,"_186":64},"connections",{"_184":64,"_185":64},"count","unfilledCount","emptyCount",{"_44":170,"_32":171,"_30":172,"_139":-5,"_42":43,"_41":173,"_141":60,"_39":264,"_13":64,"_34":168,"_36":-5,"_24":25,"_146":-5,"_200":265,"_27":266},{"_44":256,"_32":257,"_30":258,"_139":172,"_42":43,"_41":259,"_141":25,"_39":260,"_13":178,"_34":35,"_36":261,"_24":25,"_146":-5,"_200":262,"_27":263},{"_44":249,"_32":250,"_30":251,"_139":172,"_42":43,"_41":143,"_141":60,"_39":252,"_13":64,"_34":35,"_36":253,"_24":25,"_146":-5,"_200":254,"_27":255},{"_44":245,"_32":33,"_30":31,"_139":172,"_42":43,"_41":14,"_141":60,"_39":246,"_13":178,"_34":35,"_36":38,"_24":25,"_146":-5,"_200":247,"_27":248},{"_44":237,"_32":238,"_30":239,"_139":172,"_42":43,"_41":240,"_141":25,"_39":241,"_13":64,"_34":35,"_36":242,"_24":25,"_146":-5,"_200":243,"_27":244},{"_44":163,"_32":164,"_30":165,"_139":-5,"_42":43,"_41":166,"_141":60,"_39":234,"_13":64,"_34":168,"_36":-5,"_24":25,"_146":-5,"_200":235,"_27":236},{"_44":226,"_32":227,"_30":228,"_139":165,"_42":43,"_41":229,"_141":25,"_39":230,"_13":143,"_34":35,"_36":231,"_24":25,"_146":-5,"_200":232,"_27":233},{"_44":218,"_32":219,"_30":220,"_139":165,"_42":43,"_41":221,"_141":25,"_39":222,"_13":143,"_34":35,"_36":223,"_24":25,"_146":-5,"_200":224,"_27":225},{"_44":209,"_32":210,"_30":211,"_139":165,"_42":43,"_41":212,"_141":25,"_39":213,"_13":214,"_34":35,"_36":215,"_24":25,"_146":-5,"_200":216,"_27":217},{"_44":156,"_32":157,"_30":158,"_139":-5,"_42":43,"_41":159,"_141":25,"_39":206,"_13":64,"_34":20,"_36":161,"_24":25,"_146":-5,"_200":207,"_27":208},{"_44":148,"_32":149,"_30":150,"_139":-5,"_42":43,"_41":151,"_141":25,"_39":203,"_13":153,"_34":20,"_36":154,"_24":25,"_146":-5,"_200":204,"_27":205},{"_44":137,"_32":138,"_30":58,"_139":-5,"_42":43,"_41":140,"_141":25,"_39":199,"_13":143,"_34":144,"_36":145,"_24":25,"_146":46,"_200":201,"_27":202},["D",1783533425020],"children",[],[138],["D",1783534342211],[],[149],["D",1783530311702],[],[157],"4f15ad84-e81f-4401-b47f-a6d226201f76","layout.tsx","1986b5ac-7aef-11f1-959b-1607ee4eb77e",38,["D",1783535970613],8,"/** @jsxImportSource npm:hono@4/jsx */\n// HTML shell + all styling. Themed with CSS variables that flip on\n// prefers-color-scheme (system light/dark). Chat pages are built to read like a\n// ChatGPT/Claude share page: a near-invisible header, then the conversation as a\n// spacious document — user = soft right-aligned bubble, assistant = full-width\n// plain prose, no role labels. Base type is IBM Plex Sans (valtown-ui).\n\nconst FAVICON = \"data:image/svg+xml,\" + encodeURIComponent(\n ``,\n);\n\nconst CSS = `\n:root {\n /* --bubble is the user message; code surfaces are their own tokens so a user\n bubble never reads as the same \"thing\" as an inline-code chip / code block. */\n --bg: #ffffff;\n --text: #1c1c1e;\n --muted: #6b7280;\n --bubble: #e7ecf4; /* user bubble — subtly cool, distinct from code grays */\n --border: #e6e6e8;\n --card: #ffffff;\n --code-bg: #f5f6f8; /* fenced code blocks + table headers */\n --chip: #edeef1; /* inline code */\n --hover: #f0f1f3; /* interactive hover fill */\n --link: #0b62b8;\n}\n@media (prefers-color-scheme: dark) {\n :root {\n --bg: #1a1a1a;\n --text: #ececec;\n --muted: #9a9a9d;\n --bubble: #2b3040; /* cool blue-gray, clearly not code */\n --border: #343436;\n --card: #202021;\n --code-bg: #0e0e10; /* near-black code blocks */\n --chip: #33343a; /* inline code — lighter than page so it pops */\n --hover: #2a2a2c;\n --link: #7cc0f5;\n }\n}\n\n* { box-sizing: border-box; }\nbody { margin: 0; background: var(--bg); color: var(--text); font: 16px/1.6 \"IBM Plex Sans\", -apple-system, BlinkMacSystemFont, sans-serif; -webkit-font-smoothing: antialiased; }\n.wrap { max-width: 44rem; margin: 0 auto; padding: 40px 20px 120px; }\n.eyebrow { font-family: \"IBM Plex Mono\", ui-monospace, monospace; font-size: 10px; font-weight: 600; letter-spacing: .14em; text-transform: uppercase; color: var(--muted); }\na { color: var(--link); text-decoration: none; }\na:hover { text-decoration: underline; text-underline-offset: 2px; }\n.icon { width: 16px; height: 16px; flex: none; }\n\n/* ---- chat page ---- */\n.chat-head { margin-bottom: 36px; }\n.chat-title { font-size: 22px; font-weight: 600; line-height: 1.3; margin: 0 0 4px; letter-spacing: -0.01em; }\n.chat-meta { font-size: 13.5px; color: var(--muted); }\n\n.turn { margin: 30px 0; }\n.turn.user { display: flex; justify-content: flex-end; }\n.turn.user .bubble { background: var(--bubble); border-radius: 22px; padding: 10px 18px; max-width: 72%; }\n.turn.assistant .prose { max-width: 100%; font-size: 17px; line-height: 1.75; }\n.turn.assistant .prose p { margin: 16px 0; }\n\n/* ---- prose (rendered markdown) ---- */\n.prose > :first-child { margin-top: 0; }\n.prose > :last-child { margin-bottom: 0; }\n.prose p { margin: 12px 0; }\n.prose h1, .prose h2, .prose h3, .prose h4, .prose h5, .prose h6 { margin: 26px 0 8px; line-height: 1.3; }\n.prose h1 { font-size: 1.35em; }\n.prose h2 { font-size: 1.2em; }\n.prose h3 { font-size: 1.08em; }\n.prose h4, .prose h5, .prose h6 { font-size: 1em; }\n.prose pre { background: var(--code-bg); border: 1px solid var(--border); border-radius: 10px; padding: 14px 16px; overflow-x: auto; margin: 16px 0; }\n.prose pre code { background: none; border: none; padding: 0; font-size: 13.5px; line-height: 1.55; }\n.prose code { font-family: \"IBM Plex Mono\", ui-monospace, monospace; font-size: 0.85em; background: var(--chip); border-radius: 5px; padding: 1.5px 5px; }\n.prose blockquote { border-left: 3px solid var(--border); margin: 16px 0; padding: 0 0 0 16px; color: var(--muted); }\n.prose ul, .prose ol { margin: 14px 0; padding-left: 26px; }\n.prose li { margin: 6px 0; }\n.prose table { border-collapse: collapse; margin: 16px 0; font-size: 0.9em; display: block; overflow-x: auto; max-width: 100%; }\n.prose th, .prose td { border: 1px solid var(--border); padding: 7px 12px; text-align: left; vertical-align: top; color: var(--text); }\n.prose th { background: var(--code-bg); font-weight: 600; }\n.prose hr { border: none; border-top: 1px solid var(--border); margin: 28px 0; }\n\nfooter { margin-top: 72px; padding-top: 16px; border-top: 1px solid var(--border); font-size: 13px; color: var(--muted); display: flex; justify-content: space-between; gap: 16px; flex-wrap: wrap; }\n\n/* ---- homepage ---- */\n.hero { text-align: center; padding: 48px 0 4px; }\n.hero .emoji { font-size: 56px; line-height: 1; }\n.hero h1 { font-size: 30px; font-weight: 700; letter-spacing: -0.02em; margin: 16px 0 0; }\n.hero .tagline { color: var(--muted); font-size: 16px; line-height: 1.5; margin: 10px auto 0; max-width: 26rem; }\n\n.say-wrap { text-align: center; margin-top: 30px; }\n.say-eyebrow { margin-bottom: 10px; }\n.saybox { display: flex; align-items: center; gap: 14px; width: 100%; max-width: 30rem; margin: 0 auto; padding: 14px 18px; background: var(--card); border: 1px solid var(--border); border-radius: 12px; cursor: pointer; text-align: left; font: inherit; color: inherit; transition: border-color .15s ease, transform .08s ease; }\n.saybox:hover { border-color: var(--muted); transform: translateY(-1px); }\n.saybox:active { transform: translateY(0); }\n.saybox .say-quote { flex: 1; font-family: \"IBM Plex Mono\", ui-monospace, monospace; font-size: 14.5px; color: var(--text); }\n.saybox .say-icon { color: var(--muted); display: inline-flex; }\n.saybox:hover .say-icon { color: var(--text); }\n\n.agent { text-align: center; margin-top: 20px; }\n.agent-head { display: inline-flex; align-items: stretch; border: 1px solid var(--border); border-radius: 8px; background: var(--card); overflow: hidden; }\n.agent-toggle { display: inline-flex; align-items: center; gap: 8px; height: 36px; padding: 0 14px; background: none; border: none; font: 600 13px \"IBM Plex Sans\", sans-serif; color: var(--text); cursor: pointer; }\n.agent-toggle:hover { background: var(--hover); }\n.agent-toggle .chevron { transition: transform .15s ease; color: var(--muted); }\n.agent-toggle[aria-expanded=\"true\"] .chevron { transform: rotate(90deg); }\n.agent-copy { display: inline-flex; align-items: center; justify-content: center; width: 40px; background: none; border: none; border-left: 1px solid var(--border); color: var(--muted); cursor: pointer; }\n.agent-copy:hover { background: var(--hover); color: var(--text); }\n.agent-panel { text-align: left; max-width: 40rem; margin: 16px auto 0; padding: 4px 22px; background: var(--card); border: 1px solid var(--border); border-radius: 12px; }\n.agent-panel[hidden] { display: none; }\n\n.sample { text-align: center; margin-top: 26px; font-size: 14px; }\n\n.offscreen { position: absolute; left: -9999px; top: 0; }\n`;\n\nexport function Layout(props: { title: string; noindex?: boolean; children?: unknown }) {\n return (\n \n \n \n \n \n {/* Chat URLs are the secret — never leak them via Referer on outbound links. */}\n \n {props.noindex ? : null}\n {props.title}\n \n \n \n \n

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