{props.title}

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_321":322,"_323":324},"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",82,"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/import.ts","latestPath","fileId","6e06ec14-86ac-11f1-ae6a-1607ee4eb77e","name","import.ts","fileType","script","content","// Format-sniffing importer for raw agent-CLI transcripts. Supported today:\n// Claude Code session JSONL, Codex rollout JSONL, and OpenCode `opencode export`\n// JSON. Each converter is tolerant — unknown entry types are skipped, so minor\n// format drift degrades to a sparser transcript rather than an error.\nimport type { Message } from \"./store.ts\";\nimport { convertClaudeCodeJsonl, trim } from \"./claude-code.ts\";\n\nconst INPUT_LIMIT = 2_000;\nconst OUTPUT_LIMIT = 6_000;\n\nexport type ConvertedChat = { title: string | null; source: string; messages: Message[] };\n\n// Codex wraps injected context (env info, plugin ads, AGENTS.md) in XML-ish tags\n// inside user messages; none of it is conversation.\nconst CODEX_CONTEXT_TAGS = /<(environment_context|recommended_plugins|user_instructions|turn_context)>[\\s\\S]*?<\\/\\1>/g;\n\nfunction pushAssistant(messages: Message[], text: string) {\n const last = messages[messages.length - 1];\n if (last?.role === \"assistant\") last.content += \"\\n\\n\" + text;\n else messages.push({ role: \"assistant\", content: text });\n}\n\n// Codex tool outputs are often a JSON-encoded [{type:\"input_text\", text}] array.\nfunction codexOutputText(output: unknown): string {\n if (typeof output !== \"string\") return \"\";\n try {\n const parsed = JSON.parse(output);\n if (Array.isArray(parsed)) {\n const texts = parsed.map((b) => (b && typeof b.text === \"string\" ? b.text : \"\")).filter(Boolean);\n if (texts.length) return texts.join(\"\\n\");\n }\n } catch { /* plain text output */ }\n return output;\n}\n\nexport function convertCodexJsonl(jsonl: string): ConvertedChat {\n const messages: Message[] = [];\n const toolsByCallId = new Map();\n\n for (const line of jsonl.split(\"\\n\")) {\n if (!line.trim()) continue;\n let entry: any;\n try {\n entry = JSON.parse(line);\n } catch {\n continue;\n }\n // Newer rollouts wrap items in {type:\"response_item\", payload}; be tolerant\n // of older files where the item is the line itself.\n const item = entry.type === \"response_item\" ? entry.payload : entry;\n if (!item || typeof item !== \"object\") continue;\n\n if (item.type === \"message\" && Array.isArray(item.content)) {\n const text = item.content\n .map((b: any) => (typeof b?.text === \"string\" ? b.text : \"\"))\n .filter(Boolean)\n .join(\"\\n\")\n .replace(CODEX_CONTEXT_TAGS, \"\")\n .trim();\n if (!text) continue;\n if (item.role === \"user\") messages.push({ role: \"user\", content: text });\n else if (item.role === \"assistant\") pushAssistant(messages, text);\n // developer messages are injected instructions — skip\n } else if (item.type === \"function_call\" || item.type === \"custom_tool_call\") {\n const msg: Message = { role: \"tool\", name: String(item.name ?? \"tool\") };\n const input = typeof item.arguments === \"string\" ? item.arguments : typeof item.input === \"string\" ? item.input : \"\";\n if (input.trim()) msg.input = trim(input, INPUT_LIMIT);\n messages.push(msg);\n if (typeof item.call_id === \"string\") toolsByCallId.set(item.call_id, msg);\n } else if (item.type === \"function_call_output\" || item.type === \"custom_tool_call_output\") {\n const msg = toolsByCallId.get(item.call_id);\n const out = codexOutputText(item.output);\n if (msg && out.trim()) msg.output = trim(out, OUTPUT_LIMIT);\n } else if (item.type === \"local_shell_call\") {\n const cmd = Array.isArray(item.action?.command) ? item.action.command.join(\" \") : \"\";\n const msg: Message = { role: \"tool\", name: \"shell\" };\n if (cmd) msg.input = trim(cmd, INPUT_LIMIT);\n messages.push(msg);\n if (typeof item.call_id === \"string\") toolsByCallId.set(item.call_id, msg);\n }\n // reasoning, event_msg (duplicates of messages), session_meta, etc. — skip\n }\n\n return { title: null, source: \"codex\", messages };\n}\n\n// `opencode export` shape: {info: {title?}, messages: [{info: {role}, parts: [...]}]}\n// where parts are {type:\"text\", text}, {type:\"tool\", tool, state:{input, output}}, etc.\nexport function convertOpenCodeExport(doc: any): ConvertedChat {\n const messages: Message[] = [];\n for (const m of doc?.messages ?? []) {\n const role = m?.info?.role ?? m?.role;\n for (const p of m?.parts ?? []) {\n if (p?.type === \"text\" && typeof p.text === \"string\" && p.text.trim()) {\n if (role === \"user\") messages.push({ role: \"user\", content: p.text });\n else if (role === \"assistant\") pushAssistant(messages, p.text);\n } else if (p?.type === \"tool\") {\n const msg: Message = { role: \"tool\", name: String(p.tool ?? \"tool\") };\n const state = p.state ?? {};\n const input = typeof state.input === \"string\" ? state.input : state.input ? JSON.stringify(state.input, null, 2) : \"\";\n const output = typeof state.output === \"string\" ? state.output : state.output ? JSON.stringify(state.output, null, 2) : \"\";\n if (input.trim()) msg.input = trim(input, INPUT_LIMIT);\n if (output.trim()) msg.output = trim(output, OUTPUT_LIMIT);\n messages.push(msg);\n }\n // reasoning / step-start / snapshot parts — skip\n }\n }\n const title = typeof doc?.info?.title === \"string\" ? doc.info.title : null;\n return { title, source: \"opencode\", messages };\n}\n\nexport function detectAndConvert(text: string): ConvertedChat | { error: string } {\n const trimmed = text.trim();\n if (!trimmed) return { error: \"Empty body.\" };\n\n // A single JSON document (not JSONL) → OpenCode export.\n if (trimmed.startsWith(\"{\") && !trimmed.includes(\"\\n{\")) {\n try {\n const doc = JSON.parse(trimmed);\n if (Array.isArray(doc?.messages)) return convertOpenCodeExport(doc);\n return { error: \"JSON object without a `messages` array — not a recognized transcript format.\" };\n } catch { /* fall through to JSONL sniffing */ }\n }\n\n // JSONL: sniff the first few parseable lines for a format signature.\n for (const line of trimmed.split(\"\\n\").slice(0, 25)) {\n try {\n const e = JSON.parse(line);\n if (e.type === \"response_item\" || e.type === \"session_meta\" || e.type === \"event_msg\" || e.type === \"turn_context\") {\n return convertCodexJsonl(text);\n }\n if ((e.type === \"user\" || e.type === \"assistant\") && e.message || e.type === \"ai-title\" || e.sessionId) {\n return convertClaudeCodeJsonl(text);\n }\n } catch {\n continue;\n }\n }\n return {\n error: \"Unrecognized transcript format. Supported: Claude Code session .jsonl, Codex rollout .jsonl, `opencode export` JSON.\",\n };\n}\n","// Format-sniffing importer for raw agent-CLI transcripts. Supported today:\n// Claude Code session JSONL, Codex rollout JSONL, and OpenCode `opencode export`\n// JSON. Each converter is tolerant — unknown entry types are skipped, so minor\n// format drift degrades to a sparser transcript rather than an error.\nimport type { Message } from \"./store.ts\";\nimport { convertClaudeCodeJsonl, trim } from \"./claude-code.ts\";\n\nconst INPUT_LIMIT = 2_000;\nconst OUTPUT_LIMIT = 6_000;\n\nexport type ConvertedChat = { title: string | null; source: string; messages: Message[] };\n\n// Codex wraps injected context (env info, plugin ads, AGENTS.md) in XML-ish tags\n// inside user messages; none of it is conversation.\nconst CODEX_CONTEXT_TAGS = /<(environment_context|recommended_plugins|user_instructions|turn_context)>[\\s\\S]*?<\\/\\1>/g;\n\nfunction pushAssistant(messages: Message[], text: string) {\n const last = messages[messages.length - 1];\n if (last?.role === \"assistant\") last.content += \"\\n\\n\" + text;\n else messages.push({ role: \"assistant\", content: text });\n}\n\n// Codex tool outputs are often a JSON-encoded [{type:\"input_text\", text}] array.\nfunction codexOutputText(output: unknown): string {\n if (typeof output !== \"string\") return \"\";\n try {\n const parsed = JSON.parse(output);\n if (Array.isArray(parsed)) {\n const texts = parsed.map((b) => (b && typeof b.text === \"string\" ? b.text : \"\")).filter(Boolean);\n if (texts.length) return texts.join(\"\\n\");\n }\n } catch { /* plain text output */ }\n return output;\n}\n\nexport function convertCodexJsonl(jsonl: string): ConvertedChat {\n const messages: Message[] = [];\n const toolsByCallId = new Map();\n\n for (const line of jsonl.split(\"\\n\")) {\n if (!line.trim()) continue;\n let entry: any;\n try {\n entry = JSON.parse(line);\n } catch {\n continue;\n }\n // Newer rollouts wrap items in {type:\"response_item\", payload}; be tolerant\n // of older files where the item is the line itself.\n const item = entry.type === \"response_item\" ? entry.payload : entry;\n if (!item || typeof item !== \"object\") continue;\n\n if (item.type === \"message\" && Array.isArray(item.content)) {\n const text = item.content\n .map((b: any) => (typeof b?.text === \"string\" ? b.text : \"\"))\n .filter(Boolean)\n .join(\"\\n\")\n .replace(CODEX_CONTEXT_TAGS, \"\")\n .trim();\n if (!text) continue;\n if (item.role === \"user\") messages.push({ role: \"user\", content: text });\n else if (item.role === \"assistant\") pushAssistant(messages, text);\n // developer messages are injected instructions — skip\n } else if (item.type === \"function_call\" || item.type === \"custom_tool_call\") {\n const msg: Message = { role: \"tool\", name: String(item.name ?? \"tool\") };\n const input = typeof item.arguments === \"string\" ? item.arguments : typeof item.input === \"string\" ? item.input : \"\";\n if (input.trim()) msg.input = trim(input, INPUT_LIMIT);\n messages.push(msg);\n if (typeof item.call_id === \"string\") toolsByCallId.set(item.call_id, msg);\n } else if (item.type === \"function_call_output\" || item.type === \"custom_tool_call_output\") {\n const msg = toolsByCallId.get(item.call_id);\n const out = codexOutputText(item.output);\n if (msg && out.trim()) msg.output = trim(out, OUTPUT_LIMIT);\n } else if (item.type === \"local_shell_call\") {\n const cmd = Array.isArray(item.action?.command) ? item.action.command.join(\" \") : \"\";\n const msg: Message = { role: \"tool\", name: \"shell\" };\n if (cmd) msg.input = trim(cmd, INPUT_LIMIT);\n messages.push(msg);\n if (typeof item.call_id === \"string\") toolsByCallId.set(item.call_id, msg);\n }\n // reasoning, event_msg (duplicates of messages), session_meta, etc. — skip\n }\n\n return { title: null, source: \"codex\", messages };\n}\n\n// `opencode export` shape: {info: {title?}, messages: [{info: {role}, parts: [...]}]}\n// where parts are {type:\"text\", text}, {type:\"tool\", tool, state:{input, output}}, etc.\nexport function convertOpenCodeExport(doc: any): ConvertedChat {\n const messages: Message[] = [];\n for (const m of doc?.messages ?? []) {\n const role = m?.info?.role ?? m?.role;\n for (const p of m?.parts ?? []) {\n if (p?.type === \"text\" && typeof p.text === \"string\" && p.text.trim()) {\n if (role === \"user\") messages.push({ role: \"user\", content: p.text });\n else if (role === \"assistant\") pushAssistant(messages, p.text);\n } else if (p?.type === \"tool\") {\n const msg: Message = { role: \"tool\", name: String(p.tool ?? \"tool\") };\n const state = p.state ?? {};\n const input = typeof state.input === \"string\" ? state.input : state.input ? JSON.stringify(state.input, null, 2) : \"\";\n const output = typeof state.output === \"string\" ? state.output : state.output ? JSON.stringify(state.output, null, 2) : \"\";\n if (input.trim()) msg.input = trim(input, INPUT_LIMIT);\n if (output.trim()) msg.output = trim(output, OUTPUT_LIMIT);\n messages.push(msg);\n }\n // reasoning / step-start / snapshot parts — skip\n }\n }\n const title = typeof doc?.info?.title === \"string\" ? doc.info.title : null;\n return { title, source: \"opencode\", messages };\n}\n\n// pi (`@earendil-works/pi-coding-agent`) session JSONL: a flat event log.\n// Conversation lives in `message` events carrying `{message: {role, content,\n// toolCallId, ...}}`. Content parts are text / thinking / toolCall; tool\n// results are separate `toolResult` messages matched by toolCallId.\n// session / model_change / thinking_level_change / custom_message events are\n// scaffolding (or subagent sidechains) — skipped.\nexport function convertPiJsonl(jsonl: string): ConvertedChat {\n const messages: Message[] = [];\n const toolByCallId = new Map();\n\n const textOf = (content: unknown): string => {\n if (!Array.isArray(content)) return \"\";\n return content\n .map((b: any) => (typeof b?.text === \"string\" ? b.text : \"\"))\n .filter(Boolean)\n .join(\"\\n\")\n .trim();\n };\n\n for (const line of jsonl.split(\"\\n\")) {\n if (!line.trim()) continue;\n let entry: any;\n try {\n entry = JSON.parse(line);\n } catch {\n continue;\n }\n if (entry?.type !== \"message\") continue;\n const msg = entry.message;\n if (!msg || typeof msg !== \"object\") continue;\n\n if (msg.role === \"user\") {\n const text = textOf(msg.content);\n if (text) messages.push({ role: \"user\", content: text });\n } else if (msg.role === \"assistant\") {\n const text = textOf(msg.content);\n if (text) pushAssistant(messages, text);\n for (const part of msg.content ?? []) {\n if (part?.type !== \"toolCall\") continue;\n const input =\n typeof part.arguments === \"string\"\n ? part.arguments\n : part.arguments\n ? JSON.stringify(part.arguments, null, 2)\n : \"\";\n const tool: Message = { role: \"tool\", name: String(part.name ?? \"tool\") };\n if (input.trim()) tool.input = trim(input, INPUT_LIMIT);\n messages.push(tool);\n if (typeof part.id === \"string\") toolByCallId.set(part.id, tool);\n }\n } else if (msg.role === \"toolResult\") {\n const tool =\n typeof msg.toolCallId === \"string\"\n ? toolByCallId.get(msg.toolCallId)\n : undefined;\n const out = textOf(msg.content);\n if (tool && out.trim()) tool.output = trim(out, OUTPUT_LIMIT);\n }\n // other roles (system, …) — skip\n }\n\n return { title: null, source: \"pi\", messages };\n}\n\nexport function detectAndConvert(text: string): ConvertedChat | { error: string } {\n const trimmed = text.trim();\n if (!trimmed) return { error: \"Empty body.\" };\n\n // A single JSON document (not JSONL) → OpenCode export.\n if (trimmed.startsWith(\"{\") && !trimmed.includes(\"\\n{\")) {\n try {\n const doc = JSON.parse(trimmed);\n if (Array.isArray(doc?.messages)) return convertOpenCodeExport(doc);\n return { error: \"JSON object without a `messages` array — not a recognized transcript format.\" };\n } catch { /* fall through to JSONL sniffing */ }\n }\n\n // JSONL: sniff the first few parseable lines for a format signature.\n for (const line of trimmed.split(\"\\n\").slice(0, 25)) {\n try {\n const e = JSON.parse(line);\n if (e.type === \"response_item\" || e.type === \"session_meta\" || e.type === \"event_msg\" || e.type === \"turn_context\") {\n return convertCodexJsonl(text);\n }\n if ((e.type === \"user\" || e.type === \"assistant\") && e.message || e.type === \"ai-title\" || e.sessionId) {\n return convertClaudeCodeJsonl(text);\n }\n } catch {\n continue;\n }\n }\n return {\n error: \"Unrecognized transcript format. Supported: Claude Code session .jsonl, Codex rollout .jsonl, `opencode export` JSON.\",\n };\n}\n","createdAt",["D",1785513768549],"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":316,"_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":317,"_73":-5,"_74":75,"_76":75,"_77":78,"_79":78,"_80":78,"_81":75,"_82":75,"_83":318,"_85":319,"_87":320,"_89":25},"tree",[194,197,204,208,209,210],"files",[194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210],"counts",{"_183":64,"_184":185,"_186":64,"_187":188,"_189":190},"contents",[132,133,134,135,136,137],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_44":177,"_32":178,"_30":179,"_140":-5,"_42":43,"_41":180,"_142":60,"_39":181,"_13":64,"_34":170,"_36":-5,"_24":25,"_147":-5,"_27":182},{"_44":172,"_32":173,"_30":174,"_140":-5,"_42":43,"_41":162,"_142":60,"_39":175,"_13":64,"_34":170,"_36":-5,"_24":25,"_147":-5,"_27":176},{"_44":165,"_32":166,"_30":167,"_140":-5,"_42":43,"_41":168,"_142":60,"_39":169,"_13":64,"_34":170,"_36":-5,"_24":25,"_147":-5,"_27":171},{"_44":157,"_32":158,"_30":159,"_140":-5,"_42":43,"_41":160,"_142":60,"_39":161,"_13":162,"_34":20,"_36":163,"_24":25,"_147":-5,"_27":164},{"_44":149,"_32":150,"_30":151,"_140":-5,"_42":43,"_41":152,"_142":25,"_39":153,"_13":154,"_34":20,"_36":155,"_24":25,"_147":-5,"_27":156},{"_44":138,"_32":139,"_30":58,"_140":-5,"_42":43,"_41":141,"_142":25,"_39":143,"_13":144,"_34":145,"_36":146,"_24":25,"_147":46,"_27":148},"87c527c2-52e7-4b7b-88f2-4851211b27a7","main.tsx","parentId",81,"latest",["D",1784824902580],14,"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 { parseVal, 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, readTextBody } from \"./lib/body.ts\";\nimport { detectAndConvert } from \"./lib/import.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 CLI_SH = await readFile(\"/cli/sharechat.sh\", import.meta.url);\nconst INSTALL_SH = await readFile(\"/cli/install.sh\", 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 }));\napp.get(\"/source\", (c) => c.redirect(parseVal().links.self.val));\n\n// The zero-token upload CLI and its installer, templated to this origin.\nconst SH = \"text/x-shellscript; charset=utf-8\";\napp.get(\"/sharechat.sh\", (c) => c.text(CLI_SH.replaceAll(\"{{BASE}}\", originOf(c)), 200, { \"content-type\": SH }));\napp.get(\"/install\", (c) => c.text(INSTALL_SH.replaceAll(\"{{BASE}}\", originOf(c)), 200, { \"content-type\": SH }));\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 ${origin} for the format.` }, 400);\n }\n return createAndRespond(c, body);\n}\n\nasync function createAndRespond(c: Context, body: unknown) {\n const origin = originOf(c);\n const parsed = parseChatInput(body);\n if (!parsed.ok) return c.json({ ok: false, error: parsed.error, docs: origin }, 400);\n const { id, deleteToken } = await createChat(parsed.value);\n return c.json({\n ok: true,\n id,\n url: `${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// Accepts a raw agent-CLI transcript (ideally gzipped) and converts it\n// server-side — no client-side transformation or model retyping needed.\n// Format is auto-detected: Claude Code .jsonl, Codex rollout .jsonl,\n// or `opencode export` JSON.\nasync function handleImport(c: Context) {\n let text: string;\n try {\n text = await readTextBody(c.req.raw);\n } catch (e) {\n return c.json({ ok: false, error: `Could not read body: ${(e as Error).message}` }, 400);\n }\n const input = detectAndConvert(text);\n if (\"error\" in input) return c.json({ ok: false, error: input.error }, 400);\n if (input.messages.length === 0) {\n return c.json({ ok: false, error: \"Transcript recognized but no conversation turns found in it.\" }, 400);\n }\n const title = c.req.query(\"title\") || input.title;\n return createAndRespond(c, { ...input, title });\n}\n\napp.post(\"/api/chats/import\", handleImport);\napp.post(\"/api/chats/claude-code\", handleImport);\n\n// Unlisted means unlisted: even if a link leaks to a crawler, don't index it.\napp.use(\"/c/*\", async (c, next) => {\n await next();\n c.res.headers.set(\"X-Robots-Tag\", \"noindex\");\n});\n\n// Fence code so it survives content that itself contains ``` fences.\nfunction fenced(s: string): string {\n const f = s.includes(\"```\") ? \"````\" : \"```\";\n return `${f}\\n${s}\\n${f}`;\n}\n\nfunction transcriptMd(chat: Chat, origin: string): string {\n const turns = chat.messages.filter((m) => m.role !== \"tool\").length;\n const tools = chat.messages.length - turns;\n const meta = `${turns} message${turns === 1 ? \"\" : \"s\"}${tools ? ` · ${tools} tool call${tools === 1 ? \"\" : \"s\"}` : \"\"} · ${chat.createdAt.slice(0, 10)}` +\n `${chat.source ? ` · via ${chat.source}` : \"\"} · ${origin}/c/${chat.id}`;\n const body = chat.messages\n .map((m) => {\n if (m.role === \"tool\") {\n const io = [m.input && fenced(m.input), m.output && fenced(m.output)].filter(Boolean).join(\"\\n\\n\");\n return `**⏺ ${m.name}**\\n\\n${io}\\n`;\n }\n return `---\\n\\n**${m.role === \"user\" ? \"You\" : chat.source || \"Assistant\"}:**\\n\\n${m.content}\\n`;\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 ${originOf(c)} for usage.\\n`, 404));\n\nexport default app.fetch;\n","label",[139],"187e6e30-73f1-4752-8f99-a8580101cc33","instructions.md","b047e6ec-7aee-11f1-9a7b-1607ee4eb77e",75,["D",1784823880932],16,"---\nname: sharechat\ndescription: Publish an AI coding session as a clean, unlisted, deletable link. One command, zero model tokens.\n---\n\n# sharechat\n\nPublish an AI conversation at an unlisted URL. No account. Viewers need no login. Every upload returns a delete link. Agents welcome — this page is the documentation.\n\n## Fast path — POST the transcript file (use this by default)\n\nThe session is already on disk. Upload the raw file gzipped; the server detects the format and converts it. Do not retype the conversation, do not open a browser.\n\nIf you are Claude Code:\n\n```bash\nFILE=$(ls -t ~/.claude/projects/$(pwd | sed 's/[^a-zA-Z0-9]/-/g')/*.jsonl | head -1)\ngzip -c \"$FILE\" | curl -fsS {{BASE}}/api/chats/import -H 'content-encoding: gzip' --data-binary @-\n```\n\nIf you are Codex:\n\n```bash\nFILE=$(ls -t ~/.codex/sessions/*/*/*/rollout-*.jsonl | head -1)\ngzip -c \"$FILE\" | curl -fsS {{BASE}}/api/chats/import -H 'content-encoding: gzip' --data-binary @-\n```\n\nIf you are opencode: `opencode export | gzip -c | curl ...` same as above. (opencode also has native `/share` — use whichever the human prefers.)\n\nThe response:\n\n```json\n{\"ok\":true,\"url\":\"{{BASE}}/c/\",\"markdownUrl\":\"…\",\"jsonUrl\":\"…\",\"deleteUrl\":\"{{BASE}}/c/?token=\"}\n```\n\nGive the human BOTH `url` and `deleteUrl`. Server-side, thinking blocks, system prompts, injected context, and subagent sidechains are dropped; tool calls are kept with trimmed inputs/outputs. Add `?title=...` to override the title. Gzip is required — the hosting layer may reject code-heavy uncompressed bodies.\n\n## No transcript file? Build the JSON\n\nFor web chats, or when the human asks for a curated or partial share, POST the messages yourself:\n\n```bash\ngzip -c <<'JSON' | curl -fsS {{BASE}}/api/chats \\\n -H 'content-type: application/json' -H 'content-encoding: gzip' --data-binary @-\n{\"title\":\"Optional\",\"source\":\"claude-code\",\"messages\":[{\"role\":\"user\",\"content\":\"Exact user message\"},{\"role\":\"assistant\",\"content\":\"Exact final answer\"}]}\nJSON\n```\n\nMessages verbatim, in order. Roles: `user`, `assistant`, and optionally `{\"role\":\"tool\",\"name\":\"Bash\",\"input\":\"plain text\",\"output\":\"plain text\"}` interleaved where they happened. Omit system prompts and hidden reasoning. Trim enormous tool outputs to the part that mattered. Never include secrets or credentials.\n\n## Links\n\n- View: `/c/` (HTML), `/c/.md`, `/c/.json`\n- Delete: `curl -X DELETE ''`\n- Links are unlisted snapshots: 128-bit random IDs, noindex, listed nowhere. Anyone who has the URL can view it — unlisted is not private. Messages after upload are never included; share again for an update. Only what is posted is published — files the conversation touched stay on your machine.\n\n## Humans\n\n- Skill — after this, \"share this chat\" just works in Claude Code, Codex, and Cursor: `npx skills add stevekrouse/sharechat`\n- CLI — `sharechat` uploads your newest session, zero model tokens: fetch `{{BASE}}/install` and pipe to `sh`. Script source: `{{BASE}}/sharechat.sh`\n- In Claude Code, type `! sharechat` to run it without spending a model turn.\n",[150],"3a1e16f4-ab7e-490f-b03d-7f7c9a1e4936","README.md","2e6a93a8-7aef-11f1-91b0-1607ee4eb77e",54,["D",1784215478729],2,"# sharechat.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.** Its copied prompt contains the browser-free `gzip | curl` fast path. `curl https://sharechat.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} | {role: \"tool\", name, input?, output?}]}` → `{url, deleteUrl, …}`. Tool calls render as collapsed `⏺ Bash(…)` rows, like Claude Code's `/export`.\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",[158],"3faab3eb-4da1-4804-b831-efa276da8957","views","157f0e0e-2693-4209-9101-95e8dff9b640",5,["D",1783530276912],"directory",[166],"f0160d3f-bfd6-4748-8e52-7ddd18bbc41a","lib","976f85c0-d44b-4e80-a811-be75936355c6",["D",1783530111563],[173],"9dc2a5e7-877b-45ce-b1f9-74fcf5ade398","cli","3d215b72-8c9d-4421-9d11-5d004e42b330",65,["D",1784821672127],[178],"pulls","branches",1,"forks","envVars",{"_191":64,"_193":64},"connections",{"_191":64,"_192":64},"count","unfilledCount","emptyCount",{"_44":177,"_32":178,"_30":179,"_140":-5,"_42":43,"_41":180,"_142":60,"_39":313,"_13":64,"_34":170,"_36":-5,"_24":25,"_147":-5,"_212":314,"_27":315},{"_44":305,"_32":306,"_30":307,"_140":179,"_42":43,"_41":308,"_142":60,"_39":309,"_13":64,"_34":20,"_36":310,"_24":25,"_147":-5,"_212":311,"_27":312},{"_44":298,"_32":299,"_30":300,"_140":179,"_42":43,"_41":180,"_142":25,"_39":301,"_13":64,"_34":20,"_36":302,"_24":25,"_147":-5,"_212":303,"_27":304},{"_44":172,"_32":173,"_30":174,"_140":-5,"_42":43,"_41":162,"_142":60,"_39":295,"_13":64,"_34":170,"_36":-5,"_24":25,"_147":-5,"_212":296,"_27":297},{"_44":287,"_32":288,"_30":289,"_140":174,"_42":43,"_41":290,"_142":60,"_39":291,"_13":162,"_34":35,"_36":292,"_24":25,"_147":-5,"_212":293,"_27":294},{"_44":279,"_32":280,"_30":281,"_140":174,"_42":43,"_41":282,"_142":60,"_39":283,"_13":185,"_34":35,"_36":284,"_24":25,"_147":-5,"_212":285,"_27":286},{"_44":275,"_32":33,"_30":31,"_140":174,"_42":43,"_41":14,"_142":25,"_39":276,"_13":185,"_34":35,"_36":38,"_24":25,"_147":-5,"_212":277,"_27":278},{"_44":268,"_32":269,"_30":270,"_140":174,"_42":43,"_41":256,"_142":60,"_39":271,"_13":64,"_34":35,"_36":272,"_24":25,"_147":-5,"_212":273,"_27":274},{"_44":260,"_32":261,"_30":262,"_140":174,"_42":43,"_41":263,"_142":60,"_39":264,"_13":185,"_34":35,"_36":265,"_24":25,"_147":-5,"_212":266,"_27":267},{"_44":251,"_32":252,"_30":253,"_140":174,"_42":43,"_41":254,"_142":60,"_39":255,"_13":256,"_34":35,"_36":257,"_24":25,"_147":-5,"_212":258,"_27":259},{"_44":165,"_32":166,"_30":167,"_140":-5,"_42":43,"_41":168,"_142":60,"_39":248,"_13":64,"_34":170,"_36":-5,"_24":25,"_147":-5,"_212":249,"_27":250},{"_44":239,"_32":240,"_30":241,"_140":167,"_42":43,"_41":242,"_142":60,"_39":243,"_13":244,"_34":35,"_36":245,"_24":25,"_147":-5,"_212":246,"_27":247},{"_44":230,"_32":231,"_30":232,"_140":167,"_42":43,"_41":233,"_142":60,"_39":234,"_13":235,"_34":35,"_36":236,"_24":25,"_147":-5,"_212":237,"_27":238},{"_44":221,"_32":222,"_30":223,"_140":167,"_42":43,"_41":224,"_142":60,"_39":225,"_13":226,"_34":35,"_36":227,"_24":25,"_147":-5,"_212":228,"_27":229},{"_44":157,"_32":158,"_30":159,"_140":-5,"_42":43,"_41":160,"_142":60,"_39":218,"_13":162,"_34":20,"_36":163,"_24":25,"_147":-5,"_212":219,"_27":220},{"_44":149,"_32":150,"_30":151,"_140":-5,"_42":43,"_41":152,"_142":25,"_39":215,"_13":154,"_34":20,"_36":155,"_24":25,"_147":-5,"_212":216,"_27":217},{"_44":138,"_32":139,"_30":58,"_140":-5,"_42":43,"_41":141,"_142":25,"_39":211,"_13":144,"_34":145,"_36":146,"_24":25,"_147":46,"_212":213,"_27":214},["D",1784824902580],"children",[],[139],["D",1784823880932],[],[150],["D",1784215478729],[],[158],"60ac5193-d8ab-4be1-a957-3bf83ff7619b","layout.tsx","1986b5ac-7aef-11f1-959b-1607ee4eb77e",80,["D",1784824896703],11,"/** @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/* ---- tool calls (collapsed /export-style rows) ---- */\n.turn.tool { margin: 10px 0; }\n.turn.tool + .turn.tool { margin-top: 2px; }\n.turn:not(.tool) + .turn.tool { margin-top: 22px; }\n.tool-call { font-family: \"IBM Plex Mono\", ui-monospace, monospace; font-size: 13px; }\n.tool-call summary { cursor: pointer; color: var(--muted); white-space: nowrap; overflow: hidden; text-overflow: ellipsis; list-style: none; border-radius: 8px; padding: 3px 8px; margin: 0 -8px; }\n.tool-call summary::-webkit-details-marker { display: none; }\n.tool-call summary:hover { background: var(--hover); }\n.tool-dot { font-size: 10px; vertical-align: 1px; }\n.tool-call[open] .tool-dot { color: var(--link); }\n.tool-name { color: var(--text); font-weight: 600; }\n.tool-arg { color: var(--muted); }\n.tool-io { background: var(--code-bg); border: 1px solid var(--border); border-radius: 8px; padding: 10px 12px; margin: 8px 0 8px 16px; overflow: auto; max-height: 420px; font-size: 12.5px; line-height: 1.55; white-space: pre-wrap; word-break: break-word; }\n.tool-io::before { content: attr(data-label); display: block; font-size: 9.5px; font-weight: 600; letter-spacing: .13em; text-transform: uppercase; color: var(--muted); margin-bottom: 6px; }\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 (document style) ---- */\n.doc-head { display: flex; align-items: baseline; gap: 20px; margin-top: 18px; }\n.doc-name { font-size: 24px; font-weight: 700; letter-spacing: -0.01em; margin: 0; }\n.doc-nav { display: flex; gap: 14px; font-size: 13.5px; }\n.doc-nav a { color: var(--muted); }\n.doc-nav a:hover { color: var(--link); }\n.doc-lede { color: var(--muted); font-size: 15.5px; margin: 10px 0 0; }\n\n.doc-section { margin-top: 34px; }\n.doc-section h2 { font-size: 15.5px; font-weight: 600; margin: 0 0 10px; }\n.doc-section p { font-size: 15px; line-height: 1.65; margin: 10px 0; }\n.doc-section code { font-family: \"IBM Plex Mono\", ui-monospace, monospace; font-size: 13px; background: var(--chip); border-radius: 4px; padding: 1.5px 5px; }\n.doc-between { color: var(--muted); font-size: 13.5px; margin: 8px 2px; }\n\n.code-row { display: flex; align-items: center; gap: 12px; background: var(--code-bg); border-radius: 8px; padding: 10px 8px 10px 14px; margin: 10px 0; }\n.code-row .code-text { flex: 1; font-family: \"IBM Plex Mono\", ui-monospace, monospace; font-size: 13px; overflow-x: auto; white-space: nowrap; }\n.code-copy { display: inline-flex; align-items: center; justify-content: center; background: none; border: none; border-radius: 6px; padding: 6px; color: var(--muted); cursor: pointer; }\n.code-copy:hover { background: var(--hover); color: var(--text); }\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

Diff · v82