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* OpenAI-Compatible API Proxy — v3.0\n * ====================================\n * Non-streaming backend supporting:\n * • OpenAI models → via Val Town std/openai (no key needed)\n * • Claude models → via direct Anthropic REST API fetch (requires ANTHROPIC_API_KEY env var)\n *\n * Both providers support tool_calls / function calling.\n *\n * NOTE: Anthropic SDK import is avoided on purpose — it is too heavy for\n * Val Town's cold-start window and causes 502 gateway timeouts.\n * We call api.anthropic.com directly with fetch() instead.\n *\n * Endpoints:\n * GET /api/v1/models — list all available models\n * POST /api/v1/chat/completions — non-streaming chat + tool_calls\n *\n * Auth : any Bearer token accepted (format-only check).\n * CORS : fully open.\n */\n\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\n\n// ─────────────────────────────────────────────────────────────────────────────\n// CORS helpers\n// ─────────────────────────────────────────────────────────────────────────────\n\nconst CORS_HEADERS: Record = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type, Authorization\",\n \"Access-Control-Max-Age\": \"86400\",\n};\n\nfunction corsJson(body: unknown, status = 200): Response {\n return new Response(JSON.stringify(body, null, 2), {\n status,\n headers: { ...CORS_HEADERS, \"Content-Type\": \"application/json\" },\n });\n}\n\nfunction corsError(message: string, status = 400): Response {\n return corsJson({ error: { message, type: \"invalid_request_error\", code: status } }, status);\n}\n\n// ─────────────────────────────────────────────────────────────────────────────\n// Model registry & routing\n// ─────────────────────────────────────────────────────────────────────────────\n\ntype Provider = \"openai\" | \"anthropic\";\n\ninterface ModelEntry {\n id: string;\n name: string;\n upstreamId: string; // actual ID sent to the provider\n provider: Provider;\n}\n\nconst MODEL_REGISTRY: ModelEntry[] = [\n // ── OpenAI (via std/openai) ─────────────────────────────────────────────\n { id: \"gpt-4o\", name: \"GPT-4o\", upstreamId: \"gpt-4o\", provider: \"openai\" },\n { id: \"gpt-4o-mini\", name: \"GPT-4o Mini\", upstreamId: \"gpt-4o-mini\", provider: \"openai\" },\n { id: \"gpt-4.1\", name: \"GPT-4.1\", upstreamId: \"gpt-4.1\", provider: \"openai\" },\n { id: \"gpt-4.1-mini\", name: \"GPT-4.1 Mini\", upstreamId: \"gpt-4.1-mini\", provider: \"openai\" },\n { id: \"gpt-4.1-nano\", name: \"GPT-4.1 Nano\", upstreamId: \"gpt-4.1-nano\", provider: \"openai\" },\n { id: \"gpt-5-nano\", name: \"GPT-5 Nano\", upstreamId: \"gpt-5-nano\", provider: \"openai\" },\n\n // ── Anthropic Claude (direct REST — needs ANTHROPIC_API_KEY) ────────────\n { id: \"claude-opus-4\", name: \"Claude Opus 4\", upstreamId: \"claude-opus-4-5\", provider: \"anthropic\" },\n { id: \"claude-sonnet-4\", name: \"Claude Sonnet 4\", upstreamId: \"claude-sonnet-4-5\", provider: \"anthropic\" },\n { id: \"claude-haiku-3-5\", name: \"Claude Haiku 3.5\", upstreamId: \"claude-haiku-3-5-20241022\", provider: \"anthropic\" },\n { id: \"claude-3-5-sonnet\", name: \"Claude 3.5 Sonnet\", upstreamId: \"claude-3-5-sonnet-20241022\", provider: \"anthropic\" },\n { id: \"claude-3-5-haiku\", name: \"Claude 3.5 Haiku\", upstreamId: \"claude-3-5-haiku-20241022\", provider: \"anthropic\" },\n { id: \"claude-3-opus\", name: \"Claude 3 Opus\", upstreamId: \"claude-3-opus-20240229\", provider: \"anthropic\" },\n];\n\n/** Friendly alias → canonical id */\nconst ALIASES: Record = {\n // GPT\n \"gpt-5\": \"gpt-4o\",\n \"gpt-5-turbo\": \"gpt-4o\",\n \"gpt-4-turbo\": \"gpt-4o\",\n \"gpt-4\": \"gpt-4o\",\n \"gpt-3.5-turbo\": \"gpt-4o-mini\",\n \"chatgpt\": \"gpt-4o\",\n \"chat-gpt\": \"gpt-4o\",\n\n // Claude 4.x — all hyphen/dot/number combos users might type\n \"claude-4-opus\": \"claude-opus-4\",\n \"claude-4.5-opus\": \"claude-opus-4\",\n \"claude-4.6-opus\": \"claude-opus-4\",\n \"claude-4-6-opus\": \"claude-opus-4\",\n \"claude-opus-4-5\": \"claude-opus-4\",\n \"claude-4-sonnet\": \"claude-sonnet-4\",\n \"claude-4.5-sonnet\": \"claude-sonnet-4\",\n \"claude-4.6-sonnet\": \"claude-sonnet-4\", // dot variant\n \"claude-4-6-sonnet\": \"claude-sonnet-4\", // ← your exact input\n \"claude-4-5-sonnet\": \"claude-sonnet-4\",\n \"claude-sonnet-4-5\": \"claude-sonnet-4\",\n \"claude-sonnet-4.5\": \"claude-sonnet-4\",\n \"claude-sonnet-45\": \"claude-sonnet-4\",\n \"anthropic-claude-sonnet-4-5\": \"claude-sonnet-4\",\n \"anthropic-claude-sonnet-45\": \"claude-sonnet-4\",\n\n // Claude 3.x\n \"claude-3-sonnet\": \"claude-3-5-sonnet\",\n \"claude-3-5-sonnet-latest\": \"claude-3-5-sonnet\",\n \"claude-3-haiku\": \"claude-haiku-3-5\",\n \"claude-3-5-haiku-latest\": \"claude-3-5-haiku\",\n \"claude-instant\": \"claude-haiku-3-5\",\n\n // Gemini → OpenAI fallback\n \"gemini-2.5-pro\": \"gpt-4o\",\n \"gemini-1.5-pro\": \"gpt-4o\",\n \"gemini-pro\": \"gpt-4o\",\n \"google-gemini-2-5-pro\": \"gpt-4o\",\n};\n\nconst DEFAULT_ENTRY = MODEL_REGISTRY.find((m) => m.id === \"gpt-4o\")!;\nconst DEFAULT_CLAUDE = MODEL_REGISTRY.find((m) => m.id === \"claude-sonnet-4\")!;\n\nfunction resolveModel(requested: string): ModelEntry {\n // 1. Exact registry match\n const exact = MODEL_REGISTRY.find((m) => m.id === requested);\n if (exact) { console.log(`[model] exact \"${requested}\" (${exact.provider})`); return exact; }\n\n // 2. Alias (exact key)\n const aliasTarget = ALIASES[requested];\n if (aliasTarget) {\n const entry = MODEL_REGISTRY.find((m) => m.id === aliasTarget);\n if (entry) { console.log(`[model] alias \"${requested}\" → \"${entry.id}\" (${entry.provider})`); return entry; }\n }\n\n // 3. Case-insensitive alias\n const lower = requested.toLowerCase();\n for (const [alias, target] of Object.entries(ALIASES)) {\n if (alias.toLowerCase() === lower) {\n const entry = MODEL_REGISTRY.find((m) => m.id === target);\n if (entry) { console.log(`[model] icase \"${requested}\" → \"${entry.id}\" (${entry.provider})`); return entry; }\n }\n }\n\n // 4. Fuzzy name contains \"claude\" → best Claude model\n if (lower.includes(\"claude\")) {\n console.log(`[model] fuzzy-claude \"${requested}\" → \"${DEFAULT_CLAUDE.id}\"`);\n return DEFAULT_CLAUDE;\n }\n\n // 5. Default fallback\n console.log(`[model] unknown \"${requested}\" → fallback \"${DEFAULT_ENTRY.id}\"`);\n return DEFAULT_ENTRY;\n}\n\n// ─────────────────────────────────────────────────────────────────────────────\n// Shared types (OpenAI wire format)\n// ─────────────────────────────────────────────────────────────────────────────\n\ninterface OAIMessage {\n role: string;\n content: string | null;\n name?: string;\n tool_calls?: OAIToolCall[];\n tool_call_id?: string;\n}\n\ninterface OAIToolCall {\n id: string;\n type: \"function\";\n function: { name: string; arguments: string };\n}\n\ninterface OAITool {\n type: \"function\";\n function: { name: string; description?: string; parameters?: Record };\n}\n\nfunction nowSec() { return Math.floor(Date.now() / 1000); }\nfunction randomId(p = \"chatcmpl\") { return `${p}-${crypto.randomUUID().replace(/-/g, \"\").slice(0, 24)}`; }\n\n// ─────────────────────────────────────────────────────────────────────────────\n// GET /api/v1/models\n// ─────────────────────────────────────────────────────────────────────────────\n\nfunction handleModels(): Response {\n const now = nowSec();\n const seen = new Set();\n const data: object[] = [];\n for (const m of MODEL_REGISTRY) {\n seen.add(m.id);\n data.push({ id: m.id, object: \"model\", created: now, owned_by: m.provider });\n }\n for (const [alias, target] of Object.entries(ALIASES)) {\n if (seen.has(alias)) continue;\n seen.add(alias);\n const p = MODEL_REGISTRY.find((m) => m.id === target)?.provider ?? \"openai\";\n data.push({ id: alias, object: \"model\", created: now, owned_by: p });\n }\n return corsJson({ object: \"list\", data });\n}\n\n// ─────────────────────────────────────────────────────────────────────────────\n// OpenAI path (std/openai — no key needed)\n// ─────────────────────────────────────────────────────────────────────────────\n\nasync function callOpenAI(entry: ModelEntry, body: Record): Promise {\n const openai = new OpenAI();\n // deno-lint-ignore no-explicit-any\n const params: any = {\n model: entry.upstreamId,\n messages: body.messages,\n stream: false,\n };\n // Forward optional fields\n for (const k of [\"temperature\",\"max_tokens\",\"top_p\",\"stop\",\"tools\",\"tool_choice\",\"functions\",\"function_call\"]) {\n if (body[k] !== undefined) params[k] = body[k];\n }\n const completion = await openai.chat.completions.create(params);\n return corsJson({ ...completion, model: body.model });\n}\n\n// ─────────────────────────────────────────────────────────────────────────────\n// Anthropic path (direct fetch — zero SDK overhead)\n// ─────────────────────────────────────────────────────────────────────────────\n\n/** Convert OpenAI messages → Anthropic messages + system string */\nfunction toAnthropicMessages(oaiMessages: OAIMessage[]): {\n system: string | undefined;\n messages: unknown[];\n} {\n let system: string | undefined;\n const messages: unknown[] = [];\n\n for (const msg of oaiMessages) {\n if (msg.role === \"system\") {\n system = (system ? system + \"\\n\" : \"\") + (msg.content ?? \"\");\n continue;\n }\n if (msg.role === \"user\") {\n messages.push({ role: \"user\", content: msg.content ?? \"\" });\n continue;\n }\n if (msg.role === \"assistant\") {\n const content: unknown[] = [];\n if (msg.content) content.push({ type: \"text\", text: msg.content });\n if (msg.tool_calls?.length) {\n for (const tc of msg.tool_calls) {\n let input: Record = {};\n try { input = JSON.parse(tc.function.arguments); } catch { /* empty */ }\n content.push({ type: \"tool_use\", id: tc.id, name: tc.function.name, input });\n }\n }\n messages.push({ role: \"assistant\", content: content.length ? content : \"\" });\n continue;\n }\n if (msg.role === \"tool\") {\n // tool result must be in a user message with tool_result block\n messages.push({\n role: \"user\",\n content: [{ type: \"tool_result\", tool_use_id: msg.tool_call_id ?? \"\", content: msg.content ?? \"\" }],\n });\n continue;\n }\n if (msg.role === \"function\") {\n messages.push({ role: \"user\", content: `Function ${msg.name ?? \"\"} returned: ${msg.content ?? \"\"}` });\n }\n }\n return { system, messages };\n}\n\n/** Convert OpenAI tools → Anthropic tools */\nfunction toAnthropicTools(oaiTools: OAITool[]): unknown[] {\n return oaiTools.map((t) => ({\n name: t.function.name,\n description: t.function.description ?? \"\",\n input_schema: t.function.parameters ?? { type: \"object\", properties: {} },\n }));\n}\n\n/** Convert Anthropic response → OpenAI response */\n// deno-lint-ignore no-explicit-any\nfunction fromAnthropicResponse(ant: any, requestedModel: string): Record {\n const textContent = (ant.content as any[])\n .filter((b: any) => b.type === \"text\")\n .map((b: any) => b.text)\n .join(\"\") || null;\n\n const toolUseBlocks = (ant.content as any[]).filter((b: any) => b.type === \"tool_use\");\n\n const tool_calls: OAIToolCall[] | undefined = toolUseBlocks.length\n ? toolUseBlocks.map((b: any) => ({\n id: b.id,\n type: \"function\" as const,\n function: { name: b.name, arguments: JSON.stringify(b.input) },\n }))\n : undefined;\n\n const finishMap: Record = {\n end_turn: \"stop\", max_tokens: \"length\", tool_use: \"tool_calls\", stop_sequence: \"stop\",\n };\n\n return {\n id: randomId(),\n object: \"chat.completion\",\n created: nowSec(),\n model: requestedModel,\n choices: [{\n index: 0,\n message: {\n role: \"assistant\",\n content: textContent,\n ...(tool_calls ? { tool_calls } : {}),\n },\n finish_reason: finishMap[ant.stop_reason ?? \"end_turn\"] ?? \"stop\",\n }],\n usage: {\n prompt_tokens: ant.usage?.input_tokens ?? 0,\n completion_tokens: ant.usage?.output_tokens ?? 0,\n total_tokens: (ant.usage?.input_tokens ?? 0) + (ant.usage?.output_tokens ?? 0),\n },\n };\n}\n\nasync function callAnthropic(entry: ModelEntry, body: Record): Promise {\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n return corsError(\n \"ANTHROPIC_API_KEY is not set. Add it in this val's Environment variables to use Claude models.\",\n 503,\n );\n }\n\n const { system, messages } = toAnthropicMessages(body.messages as OAIMessage[]);\n\n // deno-lint-ignore no-explicit-any\n const payload: any = {\n model: entry.upstreamId,\n messages,\n max_tokens: typeof body.max_tokens === \"number\" ? body.max_tokens : 4096,\n };\n if (system) payload.system = system;\n if (body.temperature) payload.temperature = body.temperature;\n if (body.top_p) payload.top_p = body.top_p;\n if (body.stop) payload.stop_sequences = Array.isArray(body.stop) ? body.stop : [body.stop];\n\n const oaiTools = body.tools as OAITool[] | undefined;\n if (oaiTools?.length) payload.tools = toAnthropicTools(oaiTools);\n\n // tool_choice mapping\n if (body.tool_choice) {\n const tc = body.tool_choice;\n if (tc === \"auto\") payload.tool_choice = { type: \"auto\" };\n else if (tc === \"required\") payload.tool_choice = { type: \"any\" };\n else if (tc === \"none\") { delete payload.tools; } // Anthropic has no \"none\"\n else if (typeof tc === \"object\") {\n const name = (tc as Record>).function?.name;\n if (name) payload.tool_choice = { type: \"tool\", name };\n }\n }\n\n console.log(`[anthropic] POST messages model=\"${entry.upstreamId}\" tools=${payload.tools?.length ?? 0}`);\n\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": apiKey,\n \"anthropic-version\": \"2023-06-01\",\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify(payload),\n });\n\n const data = await res.json();\n\n if (!res.ok) {\n const msg = data?.error?.message ?? JSON.stringify(data);\n console.error(`[anthropic-error] ${res.status} ${msg}`);\n return corsError(`Anthropic API error ${res.status}: ${msg}`, 502);\n }\n\n return corsJson(fromAnthropicResponse(data, body.model as string));\n}\n\n// ─────────────────────────────────────────────────────────────────────────────\n// Auth check (any Bearer token accepted)\n// ─────────────────────────────────────────────────────────────────────────────\n\nfunction checkAuth(req: Request): string | null {\n const auth = req.headers.get(\"Authorization\") ?? \"\";\n if (!auth.startsWith(\"Bearer \")) return \"Missing or malformed Authorization header. Expected: Bearer \";\n if (auth.slice(7).trim().length === 0) return \"Bearer token must not be empty.\";\n return null;\n}\n\n// ─────────────────────────────────────────────────────────────────────────────\n// Main router\n// ─────────────────────────────────────────────────────────────────────────────\n\nexport default async function handler(req: Request): Promise {\n const url = new URL(req.url);\n const path = url.pathname;\n const method = req.method.toUpperCase();\n\n console.log(`[req] ${method} ${path}`);\n\n if (method === \"OPTIONS\") return new Response(null, { status: 204, headers: CORS_HEADERS });\n\n if (path === \"/\" || path === \"\") {\n return corsJson({\n service: \"OpenAI-Compatible API Proxy\",\n version: \"3.0.0\",\n status: \"ok\",\n providers: [\"openai (built-in, no key)\", \"anthropic (ANTHROPIC_API_KEY required)\"],\n endpoints: { models: \"GET /api/v1/models\", chat: \"POST /api/v1/chat/completions\" },\n });\n }\n\n // ── GET /api/v1/models ───────────────────────────────────────────────────\n if (path === \"/api/v1/models\" && method === \"GET\") return handleModels();\n\n // ── POST /api/v1/chat/completions ────────────────────────────────────────\n if (path === \"/api/v1/chat/completions\" && method === \"POST\") {\n const authErr = checkAuth(req);\n if (authErr) return corsError(authErr, 401);\n\n let body: Record;\n try { body = await req.json(); }\n catch { return corsError(\"Invalid JSON body.\", 400); }\n\n if (!body.messages || !Array.isArray(body.messages) || body.messages.length === 0)\n return corsError(\"`messages` must be a non-empty array.\", 400);\n\n if (body.stream === true)\n return corsError(\"Streaming is not supported. Use stream=false or omit stream.\", 400);\n\n const requestedModel = typeof body.model === \"string\" ? body.model : DEFAULT_ENTRY.id;\n const entry = resolveModel(requestedModel);\n\n console.log(\n `[chat] \"${requestedModel}\" → entry=\"${entry.id}\" upstream=\"${entry.upstreamId}\" ` +\n `provider=\"${entry.provider}\" tools=${Array.isArray(body.tools) ? (body.tools as unknown[]).length : 0}`,\n );\n\n try {\n return entry.provider === \"anthropic\"\n ? await callAnthropic(entry, body)\n : await callOpenAI(entry, body);\n } catch (err: unknown) {\n const msg = err instanceof Error ? err.message : String(err);\n console.error(`[error] ${msg}`);\n return corsError(`Upstream error (${entry.provider}): ${msg}`, 502);\n }\n }\n\n return corsJson(\n { error: { message: `Route not found: ${method} ${path}`, type: \"invalid_request_error\", code: 404 } },\n 404,\n );\n}\n","deleted","label",[102],"permalink","https://www.val.town/x/tmp100nuaa/openai-compatible-proxy/code/main.ts","extension","actionData","errors"]