ItChat

${inline(esc(para.join(\" \")))}

`;\n para = [];\n }\n };\n const flushList = () => {\n if (listType) {\n html += `<${listType}>` + listBuffer.map((li) =>\n `

${inline(esc(li))}

`\n ).join(\"\") + ``;\n listType = null;\n listBuffer = [];\n }\n };\n\n for (const raw of lines) {\n const line = raw.trimEnd();\n const heading = line.match(/^(#{1,3})\\s+(.*)$/);\n if (heading) {\n flushP();\n flushList();\n const lv = \"h\" + heading[1].length;\n html += `<${lv}>${inline(esc(heading[2]))}`;\n continue;\n }\n const ul = line.match(/^[-*]\\s+(.*)$/);\n const ol = line.match(/^\\d+\\.\\s+(.*)$/);\n if (ul || ol) {\n flushP();\n const item = ul ? ul[1]! : ol![1]!;\n const type: \"ul\" | \"ol\" = ul ? \"ul\" : \"ol\";\n if (listType === type) listBuffer.push(item);\n else {\n flushList();\n listType = type;\n listBuffer.push(item);\n }\n continue;\n }\n if (/^\\s*>\\s?/.test(line)) {\n flushP();\n flushList();\n html += `

${\n inline(esc(line.replace(/^\\s*>\\s?/, \"\")))\n }

`;\n continue;\n }\n if (line.trim() === \"\") {\n flushP();\n flushList();\n continue;\n }\n flushList();\n para.push(line);\n }\n flushP();\n flushList();\n return html;\n}\n\nfunction codeBlock(lang: string, code: string): string {\n return (\n `

` +\n `

${esc(lang)}` +\n `

` +\n `

${esc(code)}

` +\n `

`\n );\n}\n\nfunction renderInner(full: string): string {\n const regex = /```(\\w*)\\s*\\n([\\s\\S]*?)```/g;\n let out = \"\";\n let last = 0;\n let m: RegExpExecArray | null;\n while ((m = regex.exec(full))) {\n if (m.index > last) out += renderText(full.slice(last, m.index));\n out += codeBlock(m[1] || \"code\", m[2].replace(/\\n$/, \"\"));\n last = m.index + m[0].length;\n }\n if (last < full.length) out += renderText(full.slice(last));\n return out || renderText(full);\n}\n\n// --- view helpers -------------------------------------------------------------\n\nfunction assistantMsg(inner: string): string {\n return (\n `

` +\n `

${inner}

` +\n `

`\n );\n}\n\nfunction userMsg(content: string): string {\n return `

${\n inline(esc(content))\n }

`;\n}\n\nasync function main(req: Request): Promise {\n const { readable, writable } = new TransformStream();\n const writer = writable.getWriter();\n const write = (t: string) => writer.write(new TextEncoder().encode(t));\n\n (async () => {\n try {\n const form = req.method === \"POST\" ? await req.formData() : null;\n const uid = getUid(form, req);\n const key = `chat_${uid}`;\n const userText = (form?.get(\"userprompt\") as string) ?? \"\";\n\n let history: Msg[] = [];\n if (form?.get(\"clear\")) {\n await blob.delete(key);\n } else {\n history = await loadHistory(key);\n }\n\n write(`\n\n\n \n ItChat\n \n\n\n \n

`);\n\n // Render prior conversation\n for (const msg of history) {\n if (msg.role === \"user\") {\n write(userMsg(msg.content));\n } else {\n write(assistantMsg(renderInner(msg.content)));\n }\n }\n\n if (userText) {\n const nextHistory: Msg[] = [...history.slice(-MAX_HISTORY), {\n role: \"user\",\n content: userText,\n }];\n // persist the user's message so it survives even if generation fails\n await blob.setJSON(key, nextHistory);\n write(userMsg(userText));\n\n // NOTE: tags are intentionally left OPEN so the streamed deltas below\n // land *inside* the

. They are closed after streaming finishes.\n        write(\n          `` +\n            ``,\n        );\n\n        const token = Deno.env.get(\"valtown\");\n        const modelMessages = [\n          { role: \"system\", content: SYSTEM_PROMPT },\n          ...nextHistory,\n        ];\n\n        let full = \"\";\n        await streamChat(token, modelMessages, (d) => {\n          full += d;\n          write(_.escape(d));\n        });\n\n        // Close the tags left open above so the placeholder is a complete element.\n        write(`
`);\n\n        const newHistory: Msg[] = [...nextHistory, {\n          role: \"assistant\",\n          content: full,\n        }];\n        await blob.setJSON(key, newHistory.slice(-MAX_HISTORY));\n        const rendered = assistantMsg(renderInner(full));\n        write(\n          `` +\n            ``,\n        );\n      }\n      if (!userText && history.length === 0) {\n        write(\n          `Ask me to write some code — press Enter to send.
`,\n        );\n      }\n\n      write(`

`);\n\n // Input area\n write(\n `

` +\n `

`,\n );\n\n write(\n ``,\n );\n\n write(``);\n } catch (e) {\n write(\n `

Something went wrong: ${\n _.escape((e && (e as any).message) || e)\n }

`,\n );\n } finally {\n writer.close();\n }\n })();\n\n return new Response(readable, { headers: { \"Content-Type\": \"text/html\" } });\n}\n\nexport default main;","deleted","label",[19],{"_36":96,"_13":97,"_61":98,"_63":-5,"_64":65,"_66":99,"_68":69,"_38":100,"_17":101,"_72":24,"_74":102,"_76":51,"_77":-5,"_90":103,"_18":104},{"_36":60,"_13":19,"_61":62,"_63":-5,"_64":65,"_66":67,"_68":69,"_38":93,"_17":71,"_72":73,"_74":75,"_76":51,"_77":-5,"_90":94,"_18":95},{"_36":82,"_13":83,"_61":84,"_63":-5,"_64":65,"_66":85,"_68":69,"_38":86,"_17":87,"_72":73,"_74":88,"_76":51,"_77":89,"_90":91,"_18":92},"f7f24c2e-a3da-4752-8490-9f896d25c277","new-file-1764.ts","a5919ed0-ab29-11f1-8034-1607ee4eb77e",54,["D",1788837966880],9,"import _ from \"npm:lodash@4\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\n// OpenAI-compatible proxy. No key needed: the injected `valtown` token\n// (available in every val automatically) is used to authenticate.\nconst PROXY = \"https://std-openaiproxy.web.val.run/v1\";\n\nconst SYSTEM_PROMPT =\n \"You are VALL-E, a friendly coding chatbot. Keep chat responses concise and conversational. \" +\n \"Whenever you include code, wrap it in a fenced code block using triple backticks with a language tag, \" +\n \"like ```ts\\\\n ... \\\\n```. Only one code block per message. When finished, stop.\";\n\nconst MAX_HISTORY = 40; // cap stored messages to keep context + storage bounded\n\ntype Msg = { role: \"user\" | \"assistant\"; content: string };\n\n// --- persistence helpers -----------------------------------------------------\n\nfunction clientIp(req: Request): string {\n const cf = req.headers.get(\"cf-connecting-ip\");\n if (cf) return cf;\n const xff = req.headers.get(\"x-forwarded-for\");\n if (xff) return xff.split(\",\")[0].trim();\n return \"unknown\";\n}\n\nfunction parseCookie(h: string | null): Record {\n const o: Record = {};\n if (!h) return o;\n for (const part of h.split(\";\")) {\n const i = part.indexOf(\"=\");\n if (i > 0) {\n o[part.slice(0, i).trim()] = decodeURIComponent(part.slice(i + 1));\n }\n }\n return o;\n}\n\n// Resolve a stable per-browser id (from the form, falling back to a cookie,\n// and finally an anonymous IP key).\nfunction getUid(form: FormData | null, req: Request): string {\n const fromForm = form?.get(\"uid\") as string | null;\n if (fromForm) return fromForm;\n const cookieUid = parseCookie(req.headers.get(\"cookie\"))[\"valle_uid\"];\n if (cookieUid) return cookieUid;\n return \"anon_\" + clientIp(req);\n}\n\nasync function loadHistory(key: string): Promise {\n try {\n const v = await blob.getJSON(key);\n return Array.isArray(v) ? v : [];\n } catch {\n return [];\n }\n}\n\n// --- AI + code execution -----------------------------------------------------\n\ntype ChatMessage = {\n role: \"system\" | \"user\" | \"assistant\" | \"tool\";\n content?: string | null;\n tool_calls?: Array<{\n id: string;\n type: \"function\";\n function: { name: string; arguments: string };\n }>;\n tool_call_id?: string;\n};\n\nconst MODEL = Deno.env.get(\"VALLE_MODEL\") || \"gpt-4o\";\nconst MAX_AGENT_STEPS = 6;\nconst MAX_CODE_CHARS = 30000;\nconst MAX_OUTPUT_CHARS = 8000;\n\nconst RUN_CODE_TOOL = {\n type: \"function\",\n function: {\n name: \"run_code\",\n description:\n \"Run JavaScript or TypeScript directly inside the existing Val runtime with the restricted native runner. Use this whenever you need to test code, reproduce an error, verify a fix, or debug code. Never claim code works until it has been run successfully.\",\n parameters: {\n type: \"object\",\n additionalProperties: false,\n properties: {\n language: {\n type: \"string\",\n enum: [\"javascript\", \"typescript\"],\n description: \"Programming language to execute.\",\n },\n code: {\n type: \"string\",\n description:\n \"Complete source code to execute. For TypeScript, normal TypeScript syntax is accepted.\",\n },\n stdin: {\n type: \"string\",\n description: \"Optional input available to the program as __stdin.\",\n },\n },\n required: [\"language\", \"code\"],\n },\n },\n};\n\nfunction clip(s: string, n = MAX_OUTPUT_CHARS): string {\n if (s.length <= n) return s;\n return s.slice(0, n) + `\\\\n… [output truncated at ${n} characters]`;\n}\n\nasync function transpileTypeScript(code: string): Promise {\n const ts = await import(\"npm:typescript@5.9.2\");\n const result = ts.transpileModule(code, {\n compilerOptions: {\n target: ts.ScriptTarget.ES2022,\n module: ts.ModuleKind.ESNext,\n jsx: ts.JsxEmit.ReactJSX,\n sourceMap: false,\n removeComments: false,\n },\n reportDiagnostics: true,\n });\n\n const diagnostics = result.diagnostics || [];\n if (diagnostics.length) {\n const message = diagnostics\n .map((d: any) => ts.flattenDiagnosticMessageText(d.messageText, \"\\\\n\"))\n .join(\"\\\\n\");\n throw new Error(`TypeScript compile error:\\\\n${message}`);\n }\n return result.outputText;\n}\n\nasync function runInWorker(code: string, stdin: string): Promise<{\n stdout: string;\n stderr: string;\n code: number | null;\n timedOut: boolean;\n}> {\n // Val Town's runtime is already a Deno sandbox. A nested Worker is not\n // reliable in every Val execution context, so keep the runner in-process.\n // The guard below is intentionally conservative: the runner is for testing\n // AI-generated snippets, not for exposing a general-purpose shell/runtime.\n const blocked =\n /(?:Deno|globalThis|process|Bun|require|fetch|WebSocket|Worker|SharedArrayBuffer|import\\s*\\(|export\\s+|constructor|__proto__|prototype|eval\\s*\\(|Function\\s*\\()/;\n if (blocked.test(code)) {\n return {\n stdout: \"\",\n stderr:\n \"Execution blocked: the test snippet uses a restricted runtime API.\",\n code: 1,\n timedOut: false,\n };\n }\n\n const output: string[] = [];\n const errors: string[] = [];\n const serialize = (value: unknown) => {\n try {\n if (typeof value === \"string\") return value;\n const json = JSON.stringify(\n value,\n (_key, v) => typeof v === \"bigint\" ? String(v) + \"n\" : v,\n );\n return json === undefined ? String(value) : json;\n } catch {\n return String(value);\n }\n };\n\n const consoleProxy = {\n log: (...args: unknown[]) => output.push(args.map(serialize).join(\" \")),\n info: (...args: unknown[]) => output.push(args.map(serialize).join(\" \")),\n warn: (...args: unknown[]) => errors.push(args.map(serialize).join(\" \")),\n error: (...args: unknown[]) => errors.push(args.map(serialize).join(\" \")),\n debug: (...args: unknown[]) => output.push(args.map(serialize).join(\" \")),\n };\n\n try {\n const execute = new Function(\n \"console\",\n \"__stdin\",\n '\"use strict\"; return (async () => {\\n' + code + \"\\n})();\",\n );\n\n const result = await Promise.race([\n execute(consoleProxy, String(stdin || \"\")),\n new Promise((_, reject) =>\n setTimeout(\n () => reject(new Error(\"Execution timed out after 3000 ms.\")),\n 3000,\n )\n ),\n ]);\n\n if (result !== undefined) output.push(serialize(result));\n return {\n stdout: clip(output.join(\"\\n\")),\n stderr: clip(errors.join(\"\\n\")),\n code: 0,\n timedOut: false,\n };\n } catch (error) {\n const message = error instanceof Error\n ? (error.stack || error.message)\n : String(error);\n return {\n stdout: clip(output.join(\"\\n\")),\n stderr: clip(errors.concat(message).join(\"\\n\")),\n code: 1,\n timedOut: message.includes(\"timed out\"),\n };\n }\n}\n\nasync function runCode(language: string, code: string, stdin = \"\") {\n if (!code.trim()) throw new Error(\"No code was supplied.\");\n if (code.length > MAX_CODE_CHARS) {\n throw new Error(\n `Code is too large. Maximum is ${MAX_CODE_CHARS} characters.`,\n );\n }\n\n const normalized = language.toLowerCase();\n if (normalized !== \"javascript\" && normalized !== \"typescript\") {\n throw new Error(\n \"The native Val runner supports JavaScript and TypeScript only.\",\n );\n }\n\n let executable = code;\n if (normalized === \"typescript\") executable = await transpileTypeScript(code);\n\n const result = await runInWorker(executable, stdin);\n return {\n language: normalized,\n runner: \"Val Town in-process runner\",\n compile: {\n stdout: \"\",\n stderr: \"\",\n code: 0,\n },\n run: {\n stdout: result.stdout,\n stderr: result.stderr,\n code: result.code,\n signal: result.timedOut ? \"TIMEOUT\" : null,\n },\n };\n}\n\nasync function callModel(\n token: string,\n messages: ChatMessage[],\n useTools: boolean,\n): Promise {\n const res = await fetch(`${PROXY}/chat/completions`, {\n method: \"POST\",\n headers: {\n \"content-type\": \"application/json\",\n authorization: `Bearer ${token}`,\n },\n body: JSON.stringify({\n model: MODEL,\n messages,\n ...(useTools ? { tools: [RUN_CODE_TOOL], tool_choice: \"auto\" } : {}),\n max_completion_tokens: 3000,\n reasoning_effort: \"none\",\n }),\n });\n\n if (!res.ok) {\n throw new Error(\n `Model request failed: ${res.status} ${\n (await res.text().catch(() => \"\")).slice(0, 500)\n }`,\n );\n }\n return await res.json();\n}\n\nasync function agentChat(\n token: string,\n messages: ChatMessage[],\n onStatus: (text: string) => void,\n): Promise {\n const working = [...messages];\n\n for (let step = 0; step < MAX_AGENT_STEPS; step++) {\n const response = await callModel(token, working, true);\n const message = response.choices?.[0]?.message;\n if (!message) throw new Error(\"The model returned no message.\");\n\n const toolCalls = Array.isArray(message.tool_calls)\n ? message.tool_calls\n : [];\n if (!toolCalls.length) return String(message.content || \"\").trim();\n\n working.push({\n role: \"assistant\",\n content: message.content ?? null,\n tool_calls: toolCalls,\n });\n\n for (const call of toolCalls) {\n if (call.function?.name !== \"run_code\") continue;\n\n let args: any;\n try {\n args = JSON.parse(call.function.arguments || \"{}\");\n } catch {\n working.push({\n role: \"tool\",\n tool_call_id: call.id,\n content: JSON.stringify({\n ok: false,\n error: \"The tool arguments were invalid JSON.\",\n }),\n });\n continue;\n }\n\n const language = String(args.language || \"\").toLowerCase();\n const code = String(args.code || \"\");\n const stdin = String(args.stdin || \"\");\n onStatus(`Running ${language || \"code\"}…`);\n\n try {\n const result = await runCode(language, code, stdin);\n working.push({\n role: \"tool\",\n tool_call_id: call.id,\n content: JSON.stringify({ ok: true, result }),\n });\n } catch (error) {\n working.push({\n role: \"tool\",\n tool_call_id: call.id,\n content: JSON.stringify({\n ok: false,\n error: error instanceof Error ? error.message : String(error),\n }),\n });\n }\n }\n }\n\n // If the model keeps requesting tools, force a final answer instead of looping forever.\n const final = await callModel(token, [\n ...working,\n {\n role: \"user\",\n content:\n \"Stop executing code now. Summarize the latest test result and provide the best fix you can.\",\n },\n ], false);\n return String(\n final.choices?.[0]?.message?.content ||\n \"I could not finish debugging this.\",\n ).trim();\n}\n\n// --- markdown rendering ------------------------------------------------------\n\nfunction esc(s: string): string {\n return _.escape(s);\n}\n\n// Inline formatting (bold, italic, inline code, links). Input is already escaped.\nfunction inline(s: string): string {\n s = s.replace(/`([^`]+)`/g, (_m, c: string) => `${c}`);\n s = s.replace(/\\*\\*([^*]+)\\*\\*/g, \"$1\");\n s = s.replace(/\\*([^*\\n]+)\\*/g, \"$1\");\n s = s.replace(\n /\\[([^\\]]+)\\]\$((?:https?|mailto):\\/\\/[^)\\s]+|#[A-Za-z0-9_-]+)\$/g,\n '$1',\n );\n return s;\n}\n\n// Block-level markdown for a text segment (outside code fences).\nfunction renderText(seg: string): string {\n const lines = seg.split(\"\\n\");\n let html = \"\";\n let para: string[] = [];\n let listType: \"ul\" | \"ol\" | null = null;\n let listBuffer: string[] = [];\n\n const flushP = () => {\n if (para.length) {\n html += `

${inline(esc(para.join(\" \")))}

`;\n para = [];\n }\n };\n const flushList = () => {\n if (listType) {\n html += `<${listType}>` + listBuffer.map((li) =>\n `

${inline(esc(li))}

${\n inline(esc(line.replace(/^\\s*>\\s?/, \"\")))\n }

` +\n `

${esc(lang)}` +\n `

` +\n `

${esc(code)}

` +\n `

${inner}

` +\n `

`\n );\n}\n\nfunction userMsg(content: string): string {\n return `

${\n inline(esc(content))\n }

`);\n\n // Render prior conversation\n for (const msg of history) {\n if (msg.role === \"user\") {\n write(userMsg(msg.content));\n } else {\n write(assistantMsg(renderInner(msg.content)));\n }\n }\n\n if (userText) {\n const nextHistory: Msg[] = [...history.slice(-MAX_HISTORY), {\n role: \"user\",\n content: userText,\n }];\n // persist the user's message so it survives even if generation fails\n await blob.setJSON(key, nextHistory);\n write(userMsg(userText));\n\n // Show a small live status while the agent runs/tests code.\n write(\n `

` +\n `

Thinking…

`,\n );\n\n const token = Deno.env.get(\"valtown\");\n if (!token) {\n throw new Error(\"The Val Town 'valtown' token is unavailable.\");\n }\n\n const modelMessages: ChatMessage[] = [\n {\n role: \"system\",\n content: SYSTEM_PROMPT +\n \" You have a run_code tool. Use it to test and debug JavaScript and TypeScript directly in this Val. \" +\n \"When a test fails, inspect the exact error, fix the code, and run it again. \" +\n \"Do not say code works unless a run succeeded. Keep the final response concise.\",\n },\n ...nextHistory,\n ];\n\n const full = await agentChat(token, modelMessages, (status) => {\n write(\n ``,\n );\n });\n\n const newHistory: Msg[] = [...nextHistory, {\n role: \"assistant\",\n content: full,\n }];\n await blob.setJSON(key, newHistory.slice(-MAX_HISTORY));\n const rendered = assistantMsg(renderInner(full));\n write(\n `` +\n ``,\n );\n }\n if (!userText && history.length === 0) {\n write(\n `

Ask me to write, run, or debug code — press Enter to send.

`,\n );\n }\n\n write(`

`);\n\n // Input area\n write(\n `

` +\n `

`,\n );\n\n write(\n ``,\n );\n\n write(``);\n } catch (e) {\n write(\n `

Something went wrong: ${\n _.escape((e && (e as any).message) || e)\n }

`,\n );\n } finally {\n writer.close();\n }\n })();\n\n return new Response(readable, { headers: { \"Content-Type\": \"text/html\" } });\n}\n\nexport default main;","itchat","children",[],[83],["D",1788754119501],[],[19],"357a7bc2-ce65-4ccc-b895-93bd470886ab","README.md","01a079e9-73b0-76d8-a7b4-a5e9b886a96a",32,["D",1788752950189],1,"# VALL-E — coding chatbot\n\nA conversational chatbot that streams replies and returns code in copyable code blocks. 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