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* Val Town HTTP handler — personal screenshot → triple-LLM → TTS backend.\n *\n * Required environment variables (Val Town secrets / Deno.env):\n * ANTHROPIC_API_KEY — Anthropic API key\n * OPENAI_API_KEY — OpenAI API key (chat + TTS)\n * GOOGLE_API_KEY — Google AI (Gemini) API key\n * SHARED_SECRET — must match X-Key header on all requests\n */\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\n\nconst USER_PROMPT = \"Please solve fully and to the best of your ability.\";\n\ntype ActiveLlm = \"claude\" | \"openai\" | \"gemini\";\n\ntype ClaudeContentBlock =\n | { type: \"text\"; text: string }\n | {\n type: \"image\";\n source: { type: \"base64\"; media_type: string; data: string };\n };\n\ntype ClaudeMessage = {\n role: \"user\" | \"assistant\";\n content: string | ClaudeContentBlock[];\n};\n\ntype OpenAIContentPart =\n | { type: \"text\"; text: string }\n | { type: \"image_url\"; image_url: { url: string } };\n\ntype OpenAIMessage = {\n role: \"user\" | \"assistant\";\n content: string | OpenAIContentPart[];\n};\n\ntype GeminiPart =\n | { text: string }\n | { inline_data: { mime_type: string; data: string } };\n\ntype GeminiContent = {\n role: \"user\" | \"model\";\n parts: GeminiPart[];\n};\n\nfunction arrayBufferToBase64(buffer: ArrayBuffer): string {\n const bytes = new Uint8Array(buffer);\n let binary = \"\";\n for (let i = 0; i < bytes.byteLength; i++) {\n binary += String.fromCharCode(bytes[i]!);\n }\n return btoa(binary);\n}\n\nfunction base64ToUint8Array(b64: string): Uint8Array {\n const binary = atob(b64);\n const out = new Uint8Array(binary.length);\n for (let i = 0; i < binary.length; i++) {\n out[i] = binary.charCodeAt(i);\n }\n return out;\n}\n\nfunction jsonParse(s: string, fallback: T): T {\n try {\n return JSON.parse(s) as T;\n } catch {\n return fallback;\n }\n}\n\nfunction ensureTable(): Promise {\n return sqlite.execute(`\n CREATE TABLE IF NOT EXISTS sessions (\n id TEXT PRIMARY KEY,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL,\n status TEXT NOT NULL,\n active_llm TEXT NOT NULL,\n claude_messages TEXT NOT NULL,\n openai_messages TEXT NOT NULL,\n gemini_contents TEXT NOT NULL,\n claude_audio TEXT NOT NULL,\n openai_audio TEXT NOT NULL,\n gemini_audio TEXT NOT NULL\n )\n `);\n}\n\nfunction unauthorized(): Response {\n return new Response(JSON.stringify({ error: \"Unauthorized\" }), {\n status: 401,\n headers: { \"Content-Type\": \"application/json\" },\n });\n}\n\nfunction badRequest(message: string): Response {\n return new Response(JSON.stringify({ error: message }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n}\n\nfunction notFound(): Response {\n return new Response(JSON.stringify({ error: \"Not found\" }), {\n status: 404,\n headers: { \"Content-Type\": \"application/json\" },\n });\n}\n\nfunction json(data: unknown, status = 200): Response {\n return new Response(JSON.stringify(data), {\n status,\n headers: { \"Content-Type\": \"application/json\" },\n });\n}\n\nfunction checkAuth(req: Request): boolean {\n const secret = Deno.env.get(\"SHARED_SECRET\");\n if (!secret) return false;\n return req.headers.get(\"X-Key\") === secret;\n}\n\nfunction latestClaudeAssistant(messages: ClaudeMessage[]): string {\n for (let i = messages.length - 1; i >= 0; i--) {\n const m = messages[i]!;\n if (m.role !== \"assistant\") continue;\n const c = m.content;\n if (typeof c === \"string\") return c;\n if (Array.isArray(c)) {\n for (const b of c) {\n if (b.type === \"text\" && \"text\" in b) return b.text;\n }\n }\n }\n return \"\";\n}\n\nfunction latestOpenAIAssistant(messages: OpenAIMessage[]): string {\n for (let i = messages.length - 1; i >= 0; i--) {\n const m = messages[i]!;\n if (m.role !== \"assistant\") continue;\n const c = m.content;\n if (typeof c === \"string\") return c;\n if (Array.isArray(c)) {\n for (const b of c) {\n if (b.type === \"text\" && \"text\" in b) return b.text;\n }\n }\n }\n return \"\";\n}\n\nfunction latestGeminiAssistant(contents: GeminiContent[]): string {\n for (let i = contents.length - 1; i >= 0; i--) {\n const m = contents[i]!;\n if (m.role !== \"model\") continue;\n for (const p of m.parts) {\n if (\"text\" in p && p.text) return p.text;\n }\n }\n return \"\";\n}\n\nfunction previewFromActive(\n active: ActiveLlm,\n claude: ClaudeMessage[],\n openai: OpenAIMessage[],\n gemini: GeminiContent[],\n): string {\n let text = \"\";\n if (active === \"claude\") text = latestClaudeAssistant(claude);\n else if (active === \"openai\") text = latestOpenAIAssistant(openai);\n else text = latestGeminiAssistant(gemini);\n return text.length <= 60 ? text : text.slice(0, 60);\n}\n\nasync function callClaude(\n messages: ClaudeMessage[],\n): Promise {\n try {\n const key = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!key) return \"Error: ANTHROPIC_API_KEY is not set\";\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": key,\n \"anthropic-version\": \"2023-06-01\",\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"claude-sonnet-4-5\",\n max_tokens: 4096,\n messages,\n }),\n });\n const raw = await res.text();\n if (!res.ok) return `Error: ${res.status} ${raw}`;\n const data = JSON.parse(raw) as {\n content?: { type?: string; text?: string }[];\n };\n const text = data.content?.[0]?.text;\n if (typeof text !== \"string\" || !text.length) {\n return \"Error: empty or unexpected Claude response\";\n }\n return text;\n } catch (e) {\n return `Error: ${e instanceof Error ? e.message : String(e)}`;\n }\n}\n\nasync function callOpenAIChat(\n messages: OpenAIMessage[],\n): Promise {\n try {\n const key = Deno.env.get(\"OPENAI_API_KEY\");\n if (!key) return \"Error: OPENAI_API_KEY is not set\";\n const res = await fetch(\"https://api.openai.com/v1/chat/completions\", {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${key}`,\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"gpt-4o\",\n max_tokens: 4096,\n messages,\n }),\n });\n const raw = await res.text();\n if (!res.ok) return `Error: ${res.status} ${raw}`;\n const data = JSON.parse(raw) as {\n choices?: { message?: { content?: string } }[];\n };\n const text = data.choices?.[0]?.message?.content;\n if (typeof text !== \"string\" || !text.length) {\n return \"Error: empty or unexpected OpenAI response\";\n }\n return text;\n } catch (e) {\n return `Error: ${e instanceof Error ? e.message : String(e)}`;\n }\n}\n\nasync function callGemini(contents: GeminiContent[]): Promise {\n try {\n const key = Deno.env.get(\"GOOGLE_API_KEY\");\n if (!key) return \"Error: GOOGLE_API_KEY is not set\";\n const url =\n `https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=${\n encodeURIComponent(key)\n }`;\n const res = await fetch(url, {\n method: \"POST\",\n headers: { \"content-type\": \"application/json\" },\n body: JSON.stringify({ contents }),\n });\n const raw = await res.text();\n if (!res.ok) return `Error: ${res.status} ${raw}`;\n const data = JSON.parse(raw) as {\n candidates?: { content?: { parts?: { text?: string }[] } }[];\n };\n const text = data.candidates?.[0]?.content?.parts?.[0]?.text;\n if (typeof text !== \"string\" || !text.length) {\n return \"Error: empty or unexpected Gemini response\";\n }\n return text;\n } catch (e) {\n return `Error: ${e instanceof Error ? e.message : String(e)}`;\n }\n}\n\nasync function callOpenAITts(input: string): Promise {\n try {\n const key = Deno.env.get(\"OPENAI_API_KEY\");\n if (!key) return \"\";\n const res = await fetch(\"https://api.openai.com/v1/audio/speech\", {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${key}`,\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"tts-1\",\n voice: \"alloy\",\n input,\n }),\n });\n if (!res.ok) {\n console.log(\"TTS HTTP error\", res.status, await res.text());\n return \"\";\n }\n const buf = await res.arrayBuffer();\n return arrayBufferToBase64(buf);\n } catch (e) {\n console.log(\"TTS exception\", e);\n return \"\";\n }\n}\n\ntype SessionRow = {\n id: string;\n created_at: number;\n updated_at: number;\n status: string;\n active_llm: string;\n claude_messages: string;\n openai_messages: string;\n gemini_contents: string;\n claude_audio: string;\n openai_audio: string;\n gemini_audio: string;\n};\n\nasync function loadSession(id: string): Promise {\n const r = await sqlite.execute({\n sql: `SELECT * FROM sessions WHERE id = ?`,\n args: [id],\n });\n const row = r.rows[0] as SessionRow | undefined;\n return row ?? null;\n}\n\nfunction normalizeActiveLlm(s: string): ActiveLlm {\n if (s === \"openai\" || s === \"gemini\") return s;\n return \"claude\";\n}\n\nexport default async function (req: Request): Promise {\n await ensureTable();\n\n if (!checkAuth(req)) {\n return unauthorized();\n }\n\n const url = new URL(req.url);\n let pathname = url.pathname;\n if (pathname.length > 1 && pathname.endsWith(\"/\")) {\n pathname = pathname.slice(0, -1);\n }\n\n // GET /sessions\n if (req.method === \"GET\" && pathname === \"/sessions\") {\n const r = await sqlite.execute({\n sql:\n `SELECT id, created_at, updated_at, status, active_llm, claude_messages, openai_messages, gemini_contents FROM sessions ORDER BY updated_at DESC LIMIT 20`,\n args: [],\n });\n const rows = r.rows as {\n id: string;\n created_at: number;\n updated_at: number;\n status: string;\n active_llm: string;\n claude_messages: string;\n openai_messages: string;\n gemini_contents: string;\n }[];\n const out = rows.map((row) => {\n const active = normalizeActiveLlm(row.active_llm);\n const claude = jsonParse(row.claude_messages, []);\n const openai = jsonParse(row.openai_messages, []);\n const gemini = jsonParse(row.gemini_contents, []);\n return {\n id: row.id,\n created_at: row.created_at,\n status: row.status,\n active_llm: active,\n preview: previewFromActive(active, claude, openai, gemini),\n };\n });\n return json(out);\n }\n\n // GET /session/:id\n const sessionMatch = pathname.match(/^\\/session\\/([^/]+)$/);\n if (req.method === \"GET\" && sessionMatch) {\n const id = sessionMatch[1]!;\n const row = await loadSession(id);\n if (!row) return notFound();\n const claude = jsonParse(row.claude_messages, []);\n const openai = jsonParse(row.openai_messages, []);\n const gemini = jsonParse(row.gemini_contents, []);\n const active = normalizeActiveLlm(row.active_llm);\n return json({\n id: row.id,\n created_at: row.created_at,\n updated_at: row.updated_at,\n status: row.status,\n active_llm: active,\n claude_text: latestClaudeAssistant(claude),\n openai_text: latestOpenAIAssistant(openai),\n gemini_text: latestGeminiAssistant(gemini),\n audio_url: `/audio/${id}`,\n });\n }\n\n // GET /audio/:id\n const audioMatch = pathname.match(/^\\/audio\\/([^/]+)$/);\n if (req.method === \"GET\" && audioMatch) {\n const id = audioMatch[1]!;\n const row = await loadSession(id);\n if (!row) return notFound();\n const active = normalizeActiveLlm(row.active_llm);\n let b64 = \"\";\n if (active === \"claude\") b64 = row.claude_audio;\n else if (active === \"openai\") b64 = row.openai_audio;\n else b64 = row.gemini_audio;\n if (!b64) {\n return new Response(null, {\n status: 204,\n headers: { \"Content-Type\": \"audio/mpeg\" },\n });\n }\n const bytes = base64ToUint8Array(b64);\n return new Response(bytes, {\n headers: { \"Content-Type\": \"audio/mpeg\" },\n });\n }\n\n // POST /switch-llm/:id\n const switchMatch = pathname.match(/^\\/switch-llm\\/([^/]+)$/);\n if (req.method === \"POST\" && switchMatch) {\n const id = switchMatch[1]!;\n const row = await loadSession(id);\n if (!row) return notFound();\n const order: ActiveLlm[] = [\"claude\", \"openai\", \"gemini\"];\n const cur = normalizeActiveLlm(row.active_llm);\n const idx = order.indexOf(cur);\n const next = order[(idx + 1) % 3]!;\n const now = Date.now();\n await sqlite.execute({\n sql: `UPDATE sessions SET active_llm = ?, updated_at = ? WHERE id = ?`,\n args: [next, now, id],\n });\n return json({ active_llm: next, audio_url: `/audio/${id}` });\n }\n\n // POST /capture\n if (req.method === \"POST\" && pathname === \"/capture\") {\n const bodyBuf = await req.arrayBuffer();\n if (!bodyBuf.byteLength) {\n return badRequest(\"Expected JPEG body\");\n }\n const imageB64 = arrayBufferToBase64(bodyBuf);\n const dataUrl = `data:image/jpeg;base64,${imageB64}`;\n\n const existingId = req.headers.get(\"X-Session-Id\");\n let id: string;\n let created_at: number;\n let claude: ClaudeMessage[];\n let openai: OpenAIMessage[];\n let gemini: GeminiContent[];\n\n if (existingId) {\n const row = await loadSession(existingId);\n if (!row) return notFound();\n id = row.id;\n created_at = row.created_at;\n claude = jsonParse(row.claude_messages, []);\n openai = jsonParse(row.openai_messages, []);\n gemini = jsonParse(row.gemini_contents, []);\n } else {\n id = crypto.randomUUID();\n created_at = Date.now();\n claude = [];\n openai = [];\n gemini = [];\n }\n\n const claudeUser: ClaudeMessage = {\n role: \"user\",\n content: [\n {\n type: \"image\",\n source: {\n type: \"base64\",\n media_type: \"image/jpeg\",\n data: imageB64,\n },\n },\n { type: \"text\", text: USER_PROMPT },\n ],\n };\n const openaiUser: OpenAIMessage = {\n role: \"user\",\n content: [\n { type: \"image_url\", image_url: { url: dataUrl } },\n { type: \"text\", text: USER_PROMPT },\n ],\n };\n const geminiUser: GeminiContent = {\n role: \"user\",\n parts: [\n { inline_data: { mime_type: \"image/jpeg\", data: imageB64 } },\n { text: USER_PROMPT },\n ],\n };\n\n claude.push(claudeUser);\n openai.push(openaiUser);\n gemini.push(geminiUser);\n\n const nowProc = Date.now();\n\n // Persist processing state (insert or update)\n if (existingId) {\n await sqlite.execute({\n sql:\n `UPDATE sessions SET updated_at = ?, status = ?, claude_messages = ?, openai_messages = ?, gemini_contents = ? WHERE id = ?`,\n args: [\n nowProc,\n \"processing\",\n JSON.stringify(claude),\n JSON.stringify(openai),\n JSON.stringify(gemini),\n id,\n ],\n });\n } else {\n await sqlite.execute({\n sql:\n `INSERT INTO sessions (id, created_at, updated_at, status, active_llm, claude_messages, openai_messages, gemini_contents, claude_audio, openai_audio, gemini_audio) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,\n args: [\n id,\n created_at,\n nowProc,\n \"processing\",\n \"claude\",\n JSON.stringify(claude),\n JSON.stringify(openai),\n JSON.stringify(gemini),\n \"\",\n \"\",\n \"\",\n ],\n });\n }\n\n console.log(\"received capture\", {\n session_id: id,\n follow_up: !!existingId,\n });\n console.log(\"calling LLMs\");\n\n const llmSettled = await Promise.allSettled([\n callClaude(claude),\n callOpenAIChat(openai),\n callGemini(gemini),\n ]);\n\n const claudeText = llmSettled[0]!.status === \"fulfilled\"\n ? llmSettled[0].value\n : `Error: ${String(llmSettled[0]!.reason)}`;\n const openaiText = llmSettled[1]!.status === \"fulfilled\"\n ? llmSettled[1].value\n : `Error: ${String(llmSettled[1]!.reason)}`;\n const geminiText = llmSettled[2]!.status === \"fulfilled\"\n ? llmSettled[2].value\n : `Error: ${String(llmSettled[2]!.reason)}`;\n\n claude.push({ role: \"assistant\", content: claudeText });\n openai.push({ role: \"assistant\", content: openaiText });\n gemini.push({\n role: \"model\",\n parts: [{ text: geminiText }],\n });\n\n console.log(\"LLMs done\");\n\n await sqlite.execute({\n sql:\n `UPDATE sessions SET updated_at = ?, claude_messages = ?, openai_messages = ?, gemini_contents = ? WHERE id = ?`,\n args: [\n Date.now(),\n JSON.stringify(claude),\n JSON.stringify(openai),\n JSON.stringify(gemini),\n id,\n ],\n });\n\n console.log(\"calling TTS\");\n\n const ttsSettled = await Promise.allSettled([\n callOpenAITts(claudeText),\n callOpenAITts(openaiText),\n callOpenAITts(geminiText),\n ]);\n\n const claudeAudio = ttsSettled[0]!.status === \"fulfilled\"\n ? ttsSettled[0].value\n : \"\";\n const openaiAudio = ttsSettled[1]!.status === \"fulfilled\"\n ? ttsSettled[1].value\n : \"\";\n const geminiAudio = ttsSettled[2]!.status === \"fulfilled\"\n ? ttsSettled[2].value\n : \"\";\n\n console.log(\"TTS done\");\n\n const readyTime = Date.now();\n await sqlite.execute({\n sql:\n `UPDATE sessions SET updated_at = ?, status = ?, claude_audio = ?, openai_audio = ?, gemini_audio = ? WHERE id = ?`,\n args: [\n readyTime,\n \"ready\",\n claudeAudio,\n openaiAudio,\n geminiAudio,\n id,\n ],\n });\n\n console.log(\"ready\", { session_id: id });\n\n return json({ session_id: id, status: \"ready\" });\n }\n\n return new Response(\"Not found\", { status: 404 });\n}","deleted","label",[103],"permalink","https://www.val.town/x/isaacgreenmann/untitled-753/code/main.ts","extension","actionData","errors"]