diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..b614fe0 --- /dev/null +++ b/.editorconfig @@ -0,0 +1,5 @@ +[*.{ts}] +indent_style = tab +indent_size = 2 +trim_trailing_whitespace = true +insert_final_newline = true diff --git a/.eslintrc.cjs b/.eslintrc.cjs new file mode 100644 index 0000000..c116d6d --- /dev/null +++ b/.eslintrc.cjs @@ -0,0 +1,37 @@ +module.exports = { + extends: ["eslint:recommended", "plugin:@typescript-eslint/recommended", "plugin:svelte/recommended", "prettier"], + parser: "@typescript-eslint/parser", + plugins: ["@typescript-eslint", "prettier"], + root: true, + env: { + browser: true, + es2017: true, + node: true, + }, + parserOptions: { + sourceType: "module", + ecmaVersion: 2020, + extraFileExtensions: [".svelte"], + }, + rules: { + "no-constant-condition": "off", + "@typescript-eslint/no-empty-function": "off", + "@typescript-eslint/explicit-module-boundary-types": "error", + "@typescript-eslint/consistent-type-imports": "error", + "@typescript-eslint/no-unused-vars": "error", + "@typescript-eslint/no-non-null-assertion": "error", + "@typescript-eslint/no-explicit-any": "error", + "@typescript-eslint/no-empty-interfaces": "off", + // For doc purposes, prefer interfaces + "@typescript-eslint/consistent-type-definitions": ["error", "interface"], + }, + overrides: [ + { + files: ["*.svelte"], + parser: "svelte-eslint-parser", + parserOptions: { + parser: "@typescript-eslint/parser", + }, + }, + ], +}; diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..68c13e5 --- /dev/null +++ b/.gitignore @@ -0,0 +1,110 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +lerna-debug.log* + +.tshy-build +# Diagnostic reports (https://nodejs.org/api/report.html) +report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json + +# Runtime data +pids +*.pid +*.seed +*.pid.lock + +# Directory for instrumented libs generated by jscoverage/JSCover +lib-cov + +# Coverage directory used by tools like istanbul +coverage +*.lcov + +# nyc test coverage +.nyc_output + +# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) +.grunt + +# Bower dependency directory (https://bower.io/) +bower_components + +# node-waf configuration +.lock-wscript + +# Compiled binary addons (https://nodejs.org/api/addons.html) +build/Release + +# Dependency directories +node_modules/ +jspm_packages/ + +# TypeScript v1 declaration files +typings/ + +# TypeScript cache +*.tsbuildinfo + +# Optional npm cache directory +.npm + +# Optional eslint cache +.eslintcache + +# Microbundle cache +.rpt2_cache/ +.rts2_cache_cjs/ +.rts2_cache_es/ +.rts2_cache_umd/ + +# Optional REPL history +.node_repl_history + +# Output of 'npm pack' +*.tgz + +# Yarn Integrity file +.yarn-integrity + +# dotenv environment variables file +.env +.env.test + +# parcel-bundler cache (https://parceljs.org/) +.cache + +# Next.js build output +.next + +# Nuxt.js build / generate output +.nuxt +dist + +# Gatsby files +.cache/ +# Comment in the public line in if your project uses Gatsby and *not* Next.js +# https://nextjs.org/blog/next-9-1#public-directory-support +# public + +# vuepress build output +.vuepress/dist + +# Serverless directories +.serverless/ + +# FuseBox cache +.fusebox/ + +# DynamoDB Local files +.dynamodb/ + +# TernJS port file +.tern-port + +.DS_Store + +# Generated by doc-internal +docs \ No newline at end of file diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 0000000..0a71f4a --- /dev/null +++ b/.prettierignore @@ -0,0 +1,3 @@ +pnpm-lock.yaml +# In order to avoid code samples to have tabs, they don't display well on npm +README.md diff --git a/.prettierrc b/.prettierrc new file mode 100644 index 0000000..4593d11 --- /dev/null +++ b/.prettierrc @@ -0,0 +1,9 @@ +{ + "semi": true, + "useTabs": true, + "tabWidth": 2, + "printWidth": 120, + "trailingComma": "es5", + "plugins": ["prettier-plugin-svelte"], + "overrides": [{ "files": "*.svelte", "options": { "parser": "svelte" } }] +} diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..7cf7d47 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025 Hugging Face + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md index 466d165..4cad324 100644 --- a/README.md +++ b/README.md @@ -1 +1,59 @@ # responses.js + +A lightweight express.js server implementing OpenAI’s Responses API, built on top of Chat Completions, powered by Hugging Face Inference Providers. + +## πŸ“ Project Structure + +``` +responses.js/ +β”œβ”€β”€ examples/ # Example scripts using openai-node client +β”œβ”€β”€ src/ +β”‚ β”œβ”€β”€ index.ts +β”‚ β”œβ”€β”€ server.ts # Express app configuration (e.g. route definition) +β”‚ β”œβ”€β”€ routes/ # Routes implementation +β”‚ β”œβ”€β”€ middleware/ # Middlewares (validation + logging) +β”‚ └── schemas/ # Zod validation schemas +β”œβ”€β”€ scripts/ # Utility scripts +β”œβ”€β”€ package.json # Package configuration +``` + +## πŸš€ Quick Start + +### Start server + +```bash +# Install dependencies +pnpm install + +# Start development server +pnpm dev +``` + +### Run examples + +Some example scripts are implemented in the [./examples](./examples) folder. + +You can run them using: + +```bash +# Text input +pnpm run example text + +# Multi-turn text input +pnpm run example multi_turn + +# Text + image input +pnpm run example image + +# Streaming +pnpm run example streaming + +# Structured output +pnpm run example structured_output +pnpm run example structured_output_streaming + +# Function calling +pnpm run example function +pnpm run example function_streaming +``` + diff --git a/examples/function.js b/examples/function.js new file mode 100644 index 0000000..26893d5 --- /dev/null +++ b/examples/function.js @@ -0,0 +1,32 @@ +import OpenAI from "openai"; + +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); + +const tools = [ + { + type: "function", + name: "get_current_weather", + description: "Get the current weather in a given location", + parameters: { + type: "object", + properties: { + location: { + type: "string", + description: "The city and state, e.g. San Francisco, CA", + }, + unit: { type: "string", enum: ["celsius", "fahrenheit"] }, + }, + required: ["location", "unit"], + }, + }, +]; + +const response = await openai.responses.create({ + model: "meta-llama/Llama-3.3-70B-Instruct", + provider: "cerebras", + tools: tools, + input: "What is the weather like in Boston today?", + tool_choice: "auto", +}); + +console.log(response); diff --git a/examples/function_streaming.js b/examples/function_streaming.js new file mode 100644 index 0000000..3c6d557 --- /dev/null +++ b/examples/function_streaming.js @@ -0,0 +1,33 @@ +import { OpenAI } from "openai"; + +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); + +const tools = [ + { + type: "function", + name: "get_weather", + description: "Get current temperature for provided coordinates in celsius.", + parameters: { + type: "object", + properties: { + latitude: { type: "number" }, + longitude: { type: "number" }, + }, + required: ["latitude", "longitude"], + additionalProperties: false, + }, + strict: true, + }, +]; + +const stream = await openai.responses.create({ + model: "meta-llama/Llama-3.3-70B-Instruct", + provider: "cerebras", + input: [{ role: "user", content: "What's the weather like in Paris today?" }], + tools, + stream: true, +}); + +for await (const event of stream) { + console.log(event); +} diff --git a/examples/image.js b/examples/image.js new file mode 100644 index 0000000..7c729d2 --- /dev/null +++ b/examples/image.js @@ -0,0 +1,23 @@ +import OpenAI from "openai"; + +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); + +const response = await openai.responses.create({ + model: "Qwen/Qwen2.5-VL-7B-Instruct", + input: [ + { + role: "user", + content: [ + { type: "input_text", text: "what is in this image?" }, + { + type: "input_image", + image_url: + "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", + }, + ], + }, + ], +}); + +console.log(response); +console.log(response.output_text); diff --git a/examples/multi_turn.js b/examples/multi_turn.js new file mode 100644 index 0000000..0258805 --- /dev/null +++ b/examples/multi_turn.js @@ -0,0 +1,20 @@ +import OpenAI from "openai"; + +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); + +const response = await openai.responses.create({ + model: "Qwen/Qwen2.5-VL-7B-Instruct", + input: [ + { + role: "developer", + content: "Talk like a pirate.", + }, + { + role: "user", + content: "Are semicolons optional in JavaScript?", + }, + ], +}); + +console.log(response); +console.log(response.output_text); diff --git a/examples/streaming.js b/examples/streaming.js new file mode 100644 index 0000000..2d342d6 --- /dev/null +++ b/examples/streaming.js @@ -0,0 +1,17 @@ +import { OpenAI } from "openai"; +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); + +const stream = await openai.responses.create({ + model: "Qwen/Qwen2.5-VL-7B-Instruct", + input: [ + { + role: "user", + content: "Say 'double bubble bath' ten times fast.", + }, + ], + stream: true, +}); + +for await (const event of stream) { + console.log(event); +} diff --git a/examples/structured_output.js b/examples/structured_output.js new file mode 100644 index 0000000..e1496b2 --- /dev/null +++ b/examples/structured_output.js @@ -0,0 +1,32 @@ +import OpenAI from "openai"; +import { zodTextFormat } from "openai/helpers/zod"; +import { z } from "zod"; + +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); + +const Step = z.object({ + explanation: z.string(), + output: z.string(), +}); + +const MathReasoning = z.object({ + steps: z.array(Step), + final_answer: z.string(), +}); + +const response = await openai.responses.parse({ + model: "Qwen/Qwen2.5-VL-72B-Instruct", + provider: "nebius", + input: [ + { + role: "system", + content: "You are a helpful math tutor. Guide the user through the solution step by step.", + }, + { role: "user", content: "how can I solve 8x + 7 = -23" }, + ], + text: { + format: zodTextFormat(MathReasoning, "math_reasoning"), + }, +}); + +console.log(response.output_parsed); diff --git a/examples/structured_output_streaming.js b/examples/structured_output_streaming.js new file mode 100644 index 0000000..bdd8c1c --- /dev/null +++ b/examples/structured_output_streaming.js @@ -0,0 +1,36 @@ +import { OpenAI } from "openai"; +import { zodTextFormat } from "openai/helpers/zod"; +import { z } from "zod"; + +const CalendarEvent = z.object({ + name: z.string(), + date: z.string(), + participants: z.array(z.string()), +}); + +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); +const stream = openai.responses + .stream({ + model: "Qwen/Qwen2.5-VL-72B-Instruct", + provider: "nebius", + instructions: "Extract the event information.", + input: "Alice and Bob are going to a science fair on Friday.", + text: { + format: zodTextFormat(CalendarEvent, "calendar_event"), + }, + }) + .on("response.refusal.delta", (event) => { + process.stdout.write(event.delta); + }) + .on("response.output_text.delta", (event) => { + process.stdout.write(event.delta); + }) + .on("response.output_text.done", () => { + process.stdout.write("\n"); + }) + .on("response.error", (event) => { + console.error(event.error); + }); + +const result = await stream.finalResponse(); +console.log(result.output_parsed); diff --git a/examples/text.js b/examples/text.js new file mode 100755 index 0000000..7abd23a --- /dev/null +++ b/examples/text.js @@ -0,0 +1,12 @@ +import OpenAI from "openai"; + +const openai = new OpenAI({ baseURL: "http://localhost:3000/v1", apiKey: process.env.HF_TOKEN }); + +const response = await openai.responses.create({ + model: "Qwen/Qwen2.5-VL-7B-Instruct", + instructions: "You are a helpful assistant.", + input: "Tell me a three sentence bedtime story about a unicorn.", +}); + +console.log(response); +console.log(response.output_text); diff --git a/package.json b/package.json new file mode 100644 index 0000000..b7a84a7 --- /dev/null +++ b/package.json @@ -0,0 +1,65 @@ +{ + "name": "@huggingface/responses.js", + "packageManager": "pnpm@10.10.0", + "version": "0.1.0", + "type": "module", + "description": "Server for handling AI responses", + "repository": "https://github.com/huggingface/huggingface.js.git", + "publishConfig": { + "access": "public" + }, + "main": "./dist/index.js", + "module": "./dist/index.mjs", + "types": "./dist/index.d.ts", + "exports": { + ".": { + "types": "./dist/index.d.ts", + "require": "./dist/index.js", + "import": "./dist/index.mjs" + } + }, + "engines": { + "node": ">=18" + }, + "source": "index.ts", + "scripts": { + "build": "tsup src/*.ts --format cjs,esm --clean && tsc --emitDeclarationOnly --declaration", + "check": "tsc", + "dev": "tsx watch src/index.ts", + "format": "prettier --write .", + "format:check": "prettier --check 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+ tinyexec: 0.3.2 + tinyglobby: 0.2.14 + tree-kill: 1.2.2 + optionalDependencies: + typescript: 5.8.3 + transitivePeerDependencies: + - jiti + - supports-color + - tsx + - yaml + + tsx@4.20.3: + dependencies: + esbuild: 0.25.5 + get-tsconfig: 4.10.1 + optionalDependencies: + fsevents: 2.3.3 + + type-is@1.6.18: + dependencies: + media-typer: 0.3.0 + mime-types: 2.1.35 + + typescript@5.8.3: {} + + ufo@1.6.1: {} + + undici-types@7.8.0: {} + + unpipe@1.0.0: {} + + utils-merge@1.0.1: {} + + vary@1.1.2: {} + + webidl-conversions@4.0.2: {} + + whatwg-url@7.1.0: + dependencies: + lodash.sortby: 4.7.0 + tr46: 1.0.1 + webidl-conversions: 4.0.2 + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + wrap-ansi@7.0.0: + dependencies: + ansi-styles: 4.3.0 + string-width: 4.2.3 + strip-ansi: 6.0.1 + + wrap-ansi@8.1.0: + dependencies: + ansi-styles: 6.2.1 + string-width: 5.1.2 + strip-ansi: 7.1.0 + + zod@3.25.69: {} diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml new file mode 100644 index 0000000..efc037a --- /dev/null +++ b/pnpm-workspace.yaml @@ -0,0 +1,2 @@ +onlyBuiltDependencies: + - esbuild diff --git a/scripts/run-example.js b/scripts/run-example.js new file mode 100644 index 0000000..8175a5d --- /dev/null +++ b/scripts/run-example.js @@ -0,0 +1,28 @@ +#!/usr/bin/env node +/** + * AI-generated file using Cursor + Claude 4 + * + * Run an example script + */ +import { spawnSync } from "child_process"; +import fs from "fs"; +import path from "path"; +import { fileURLToPath } from "url"; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +const [, , exampleName] = process.argv; +if (!exampleName) { + console.error("Usage: run-example.js "); + process.exit(1); +} + +const examplePath = path.resolve(__dirname, "../examples", `${exampleName}.js`); +if (!fs.existsSync(examplePath)) { + console.error(`Example script not found: ${examplePath}`); + process.exit(1); +} + +const result = spawnSync("node", [examplePath], { stdio: "inherit" }); +process.exit(result.status); diff --git a/src/index.ts b/src/index.ts new file mode 100644 index 0000000..5572c94 --- /dev/null +++ b/src/index.ts @@ -0,0 +1,26 @@ +import { createApp } from "./server.js"; + +const app = createApp(); +const port = process.env.PORT || 3000; + +// Start server +app.listen(port, () => { + console.log(`πŸš€ Server started at ${new Date().toISOString()}`); + console.log(`🌐 Server is running on http://localhost:${port}`); + console.log("─".repeat(60)); +}); + +// Graceful shutdown logging +process.on("SIGINT", () => { + console.log("─".repeat(60)); + console.log(`πŸ›‘ Server shutting down at ${new Date().toISOString()}`); + process.exit(0); +}); + +process.on("SIGTERM", () => { + console.log("─".repeat(60)); + console.log(`πŸ›‘ Server shutting down at ${new Date().toISOString()}`); + process.exit(0); +}); + +export default app; diff --git a/src/lib/generateUniqueId.ts b/src/lib/generateUniqueId.ts new file mode 100644 index 0000000..e27fc6c --- /dev/null +++ b/src/lib/generateUniqueId.ts @@ -0,0 +1,11 @@ +/** + * AI-generated file using Cursor + Claude 4 + * + * Generate a unique ID for the response + */ +import { randomBytes } from "crypto"; + +export function generateUniqueId(prefix?: string): string { + const id = randomBytes(24).toString("hex"); + return prefix ? `${prefix}_${id}` : id; +} diff --git a/src/middleware/logging.ts b/src/middleware/logging.ts new file mode 100644 index 0000000..96cf707 --- /dev/null +++ b/src/middleware/logging.ts @@ -0,0 +1,68 @@ +/** + * AI-generated file using Cursor + Claude 4 + * + * Middleware to log all HTTP requests with duration, status code, method, and route + */ +import { type Request, type Response, type NextFunction } from "express"; + +interface LogContext { + timestamp: string; + method: string; + url: string; + statusCode?: number; + duration?: number; +} + +function formatLogMessage(context: LogContext): string { + const { timestamp, method, url, statusCode, duration } = context; + + if (statusCode === undefined) { + return `[${timestamp}] πŸ“₯ ${method} ${url}`; + } + + const statusEmoji = + statusCode >= 200 && statusCode < 300 + ? "βœ…" + : statusCode >= 400 && statusCode < 500 + ? "⚠️" + : statusCode >= 500 + ? "❌" + : "ℹ️"; + return `[${timestamp}] ${statusEmoji} ${statusCode} ${method} ${url} (${duration}ms)`; +} + +/** + * Middleware to log all HTTP requests with duration, status code, method, and route + */ +export function requestLogger() { + return (req: Request, res: Response, next: NextFunction): void => { + const startTime = Date.now(); + const { method, url } = req; + + // Log incoming request + console.log( + formatLogMessage({ + timestamp: new Date().toISOString(), + method, + url, + }) + ); + + // Listen for when the response finishes + res.on("finish", () => { + const duration = Date.now() - startTime; + + console.log( + formatLogMessage({ + timestamp: new Date().toISOString(), + method, + url, + statusCode: res.statusCode, + duration, + }) + ); + }); + + next(); + }; +} diff --git a/src/middleware/validation.ts b/src/middleware/validation.ts new file mode 100644 index 0000000..40c84a4 --- /dev/null +++ b/src/middleware/validation.ts @@ -0,0 +1,42 @@ +/** + * AI-generated file using Cursor + Claude 4 + */ + +import { type Request, type Response, type NextFunction } from "express"; +import { z } from "zod"; + +/** + * Middleware to validate request body against a Zod schema + * @param schema - Zod schema to validate against + * @returns Express middleware function + */ +export function validateBody(schema: T) { + return (req: Request, res: Response, next: NextFunction): void => { + try { + const validatedBody = schema.parse(req.body); + req.body = validatedBody; + next(); + } catch (error) { + if (error instanceof z.ZodError) { + console.log(req.body); + res.status(400).json({ + success: false, + error: error.errors, + details: error.errors, + }); + } else { + res.status(500).json({ + success: false, + error: "Internal server error", + }); + } + } + }; +} + +/** + * Type helper to create a properly typed request with validated body + */ +export interface ValidatedRequest extends Request { + body: T; +} diff --git a/src/routes/index.ts b/src/routes/index.ts new file mode 100644 index 0000000..1995545 --- /dev/null +++ b/src/routes/index.ts @@ -0,0 +1 @@ +export { postCreateResponse } from "./responses.js"; diff --git a/src/routes/responses.ts b/src/routes/responses.ts new file mode 100644 index 0000000..514e843 --- /dev/null +++ b/src/routes/responses.ts @@ -0,0 +1,426 @@ +import { type Response as ExpressResponse } from "express"; +import { type ValidatedRequest } from "../middleware/validation.js"; +import { type CreateResponseParams } from "../schemas.js"; +import { generateUniqueId } from "../lib/generateUniqueId.js"; +import { InferenceClient } from "@huggingface/inference"; +import type { + ChatCompletionInputMessage, + ChatCompletionInputMessageChunkType, + ChatCompletionInput, +} from "@huggingface/tasks"; + +import type { + Response, + ResponseStreamEvent, + ResponseContentPartAddedEvent, + ResponseOutputMessage, + ResponseFunctionToolCall, +} from "openai/resources/responses/responses"; + +class StreamingError extends Error { + constructor(message: string) { + super(message); + this.name = "StreamingError"; + } +} + +export const postCreateResponse = async ( + req: ValidatedRequest, + res: ExpressResponse +): Promise => { + const apiKey = req.headers.authorization?.split(" ")[1]; + + if (!apiKey) { + res.status(401).json({ + success: false, + error: "Unauthorized", + }); + return; + } + + const client = new InferenceClient(apiKey); + const messages: ChatCompletionInputMessage[] = req.body.instructions + ? [{ role: "system", content: req.body.instructions }] + : []; + + if (Array.isArray(req.body.input)) { + messages.push( + ...req.body.input + .map((item) => ({ + role: item.role, + content: + typeof item.content === "string" + ? item.content + : item.content + .map((content) => { + switch (content.type) { + case "input_image": + return { + type: "image_url" as ChatCompletionInputMessageChunkType, + image_url: { + url: content.image_url, + }, + }; + case "output_text": + return content.text + ? { + type: "text" as ChatCompletionInputMessageChunkType, + text: content.text, + } + : undefined; + case "refusal": + return undefined; + case "input_text": + return { + type: "text" as ChatCompletionInputMessageChunkType, + text: content.text, + }; + } + }) + .filter((item) => item !== undefined), + })) + .filter((message) => message.content?.length !== 0) + ); + } else { + messages.push({ role: "user", content: req.body.input }); + } + + const model = req.body.model.includes("@") ? req.body.model.split("@")[1] : req.body.model; + const provider = req.body.model.includes("@") ? req.body.model.split("@")[0] : undefined; + + const payload: ChatCompletionInput = { + // main params + model: model, + provider: provider, + messages: messages, + stream: req.body.stream, + // options + max_tokens: req.body.max_output_tokens === null ? undefined : req.body.max_output_tokens, + response_format: req.body.text?.format + ? { + type: req.body.text.format.type, + json_schema: + req.body.text.format.type === "json_schema" + ? { + description: req.body.text.format.description, + name: req.body.text.format.name, + schema: req.body.text.format.schema, + strict: req.body.text.format.strict, + } + : undefined, + } + : undefined, + temperature: req.body.temperature, + tool_choice: + typeof req.body.tool_choice === "string" + ? req.body.tool_choice + : req.body.tool_choice + ? { + type: "function", + function: { + name: req.body.tool_choice.name, + }, + } + : undefined, + tools: req.body.tools + ? req.body.tools.map((tool) => ({ + type: tool.type, + function: { + name: tool.name, + parameters: tool.parameters, + description: tool.description, + strict: tool.strict, + }, + })) + : undefined, + top_p: req.body.top_p, + }; + + const responseObject: Omit = { + created_at: new Date().getTime(), + error: null, + id: generateUniqueId("resp"), + instructions: req.body.instructions, + max_output_tokens: req.body.max_output_tokens, + metadata: req.body.metadata, + model: req.body.model, + object: "response", + output: [], + // parallel_tool_calls: req.body.parallel_tool_calls, + status: "in_progress", + text: req.body.text, + tool_choice: req.body.tool_choice ?? "auto", + tools: req.body.tools ?? [], + temperature: req.body.temperature, + top_p: req.body.top_p, + }; + + if (req.body.stream) { + res.setHeader("Content-Type", "text/event-stream"); + res.setHeader("Connection", "keep-alive"); + let sequenceNumber = 0; + + // Emit events in sequence + const emitEvent = (event: ResponseStreamEvent) => { + res.write(`data: ${JSON.stringify(event)}\n\n`); + }; + + try { + // Response created event + emitEvent({ + type: "response.created", + response: responseObject as Response, + sequence_number: sequenceNumber++, + }); + + // Response in progress event + emitEvent({ + type: "response.in_progress", + response: responseObject as Response, + sequence_number: sequenceNumber++, + }); + + const stream = client.chatCompletionStream(payload); + + for await (const chunk of stream) { + if (chunk.choices[0].delta.content) { + if (responseObject.output.length === 0) { + const outputObject: ResponseOutputMessage = { + id: generateUniqueId("msg"), + type: "message", + role: "assistant", + status: "in_progress", + content: [], + }; + responseObject.output = [outputObject]; + + // Response output item added event + emitEvent({ + type: "response.output_item.added", + output_index: 0, + item: outputObject, + sequence_number: sequenceNumber++, + }); + } + + const outputObject = responseObject.output.at(-1); + if (!outputObject || outputObject.type !== "message") { + throw new StreamingError("Not implemented: only single output item type is supported in streaming mode."); + } + + if (outputObject.content.length === 0) { + // Response content part added event + const contentPart: ResponseContentPartAddedEvent["part"] = { + type: "output_text", + text: "", + annotations: [], + }; + outputObject.content.push(contentPart); + + emitEvent({ + type: "response.content_part.added", + item_id: outputObject.id, + output_index: 0, + content_index: 0, + part: contentPart, + sequence_number: sequenceNumber++, + }); + } + + const contentPart = outputObject.content.at(-1); + if (!contentPart || contentPart.type !== "output_text") { + throw new StreamingError("Not implemented: only output_text is supported in streaming mode."); + } + + if (contentPart.type !== "output_text") { + throw new StreamingError("Not implemented: only output_text is supported in streaming mode."); + } + + // Add text delta + contentPart.text += chunk.choices[0].delta.content; + emitEvent({ + type: "response.output_text.delta", + item_id: outputObject.id, + output_index: 0, + content_index: 0, + delta: chunk.choices[0].delta.content, + sequence_number: sequenceNumber++, + }); + } else if (chunk.choices[0].delta.tool_calls && chunk.choices[0].delta.tool_calls.length > 0) { + if (chunk.choices[0].delta.tool_calls.length > 1) { + throw new StreamingError("Not implemented: only single tool call is supported in streaming mode."); + } + + if (responseObject.output.length === 0) { + if (!chunk.choices[0].delta.tool_calls[0].function.name) { + throw new StreamingError("Tool call function name is required."); + } + + const outputObject: ResponseFunctionToolCall = { + type: "function_call", + id: generateUniqueId("fc"), + call_id: chunk.choices[0].delta.tool_calls[0].id, + name: chunk.choices[0].delta.tool_calls[0].function.name, + arguments: "", + }; + responseObject.output = [outputObject]; + + // Response output item added event + emitEvent({ + type: "response.output_item.added", + output_index: 0, + item: outputObject, + sequence_number: sequenceNumber++, + }); + } + + const outputObject = responseObject.output.at(-1); + if (!outputObject || !outputObject.id || outputObject.type !== "function_call") { + throw new StreamingError("Not implemented: can only support single output item type in streaming mode."); + } + + outputObject.arguments += chunk.choices[0].delta.tool_calls[0].function.arguments; + emitEvent({ + type: "response.function_call_arguments.delta", + item_id: outputObject.id, + output_index: 0, + delta: chunk.choices[0].delta.tool_calls[0].function.arguments, + sequence_number: sequenceNumber++, + }); + } + } + + const lastOutputItem = responseObject.output.at(-1); + + if (lastOutputItem) { + if (lastOutputItem?.type === "message") { + const contentPart = lastOutputItem.content.at(-1); + if (contentPart?.type === "output_text") { + emitEvent({ + type: "response.output_text.done", + item_id: lastOutputItem.id, + output_index: responseObject.output.length - 1, + content_index: lastOutputItem.content.length - 1, + text: contentPart.text, + sequence_number: sequenceNumber++, + }); + + emitEvent({ + type: "response.content_part.done", + item_id: lastOutputItem.id, + output_index: responseObject.output.length - 1, + content_index: lastOutputItem.content.length - 1, + part: contentPart, + sequence_number: sequenceNumber++, + }); + } else { + throw new StreamingError("Not implemented: only output_text is supported in streaming mode."); + } + + // Response output item done event + lastOutputItem.status = "completed"; + emitEvent({ + type: "response.output_item.done", + output_index: responseObject.output.length - 1, + item: lastOutputItem, + sequence_number: sequenceNumber++, + }); + } else if (lastOutputItem?.type === "function_call") { + if (!lastOutputItem.id) { + throw new StreamingError("Function call id is required."); + } + + emitEvent({ + type: "response.function_call_arguments.done", + item_id: lastOutputItem.id, + output_index: responseObject.output.length - 1, + arguments: lastOutputItem.arguments, + sequence_number: sequenceNumber++, + }); + + lastOutputItem.status = "completed"; + emitEvent({ + type: "response.output_item.done", + output_index: responseObject.output.length - 1, + item: lastOutputItem, + sequence_number: sequenceNumber++, + }); + } else { + throw new StreamingError("Not implemented: only message output is supported in streaming mode."); + } + } + + // Response completed event + responseObject.status = "completed"; + emitEvent({ + type: "response.completed", + response: responseObject as Response, + sequence_number: sequenceNumber++, + }); + } catch (streamError) { + console.error("Error in streaming chat completion:", streamError); + + let message = "An error occurred while streaming from inference server."; + if (streamError instanceof StreamingError) { + message = streamError.message; + } else if ( + typeof streamError === "object" && + streamError && + "message" in streamError && + typeof streamError.message === "string" + ) { + message = streamError.message; + } + + emitEvent({ + type: "error", + code: null, + message, + param: null, + sequence_number: sequenceNumber++, + }); + } + res.end(); + return; + } + + try { + const chatCompletionResponse = await client.chatCompletion(payload); + + responseObject.status = "completed"; + responseObject.output = chatCompletionResponse.choices[0].message.content + ? [ + { + id: generateUniqueId("msg"), + type: "message", + role: "assistant", + status: "completed", + content: [ + { + type: "output_text", + text: chatCompletionResponse.choices[0].message.content, + annotations: [], + }, + ], + }, + ] + : chatCompletionResponse.choices[0].message.tool_calls + ? chatCompletionResponse.choices[0].message.tool_calls.map((toolCall) => ({ + type: "function_call", + id: generateUniqueId("fc"), + call_id: toolCall.id, + name: toolCall.function.name, + arguments: toolCall.function.arguments, + status: "completed", + })) + : []; + + res.json(responseObject); + } catch (error) { + console.error(error); + res.status(500).json({ + success: false, + error: error instanceof Error ? error.message : "Unknown error", + }); + } +}; diff --git a/src/schemas.ts b/src/schemas.ts new file mode 100644 index 0000000..5fd1202 --- /dev/null +++ b/src/schemas.ts @@ -0,0 +1,144 @@ +import { z } from "zod"; + +/** + * https://platform.openai.com/docs/api-reference/responses/create + * commented out properties are not supported by the server + */ + +const inputContentSchema = z.array( + z.union([ + z.object({ + type: z.literal("input_text"), + text: z.string(), + }), + z.object({ + type: z.literal("input_image"), + // file_id: z.string().nullable().default(null), + image_url: z.string(), + // detail: z.enum(["auto", "low", "high"]).default("auto"), + }), + // z.object({ + // type: z.literal("input_file"), + // file_data: z.string().nullable().default(null), + // file_id: z.string().nullable().default(null), + // filename: z.string().nullable().default(null), + // }), + ]) +); + +export const createResponseParamsSchema = z.object({ + // background: z.boolean().default(false), + // include: + input: z.union([ + z.string(), + z.array( + z.union([ + z.object({ + content: z.union([z.string(), inputContentSchema]), + role: z.enum(["user", "assistant", "system", "developer"]), + type: z.enum(["message"]).default("message"), + }), + z.object({ + role: z.enum(["user", "system", "developer"]), + status: z.enum(["in_progress", "completed", "incomplete"]).nullable().default(null), + content: inputContentSchema, + type: z.enum(["message"]).default("message"), + }), + z.object({ + id: z.string().optional(), + role: z.enum(["assistant"]), + status: z.enum(["in_progress", "completed", "incomplete"]).optional(), + type: z.enum(["message"]).default("message"), + content: z.array( + z.union([ + z.object({ + type: z.literal("output_text"), + text: z.string(), + annotations: z.array(z.object({})).optional(), // TODO: incomplete + logprobs: z.array(z.object({})).optional(), // TODO: incomplete + }), + z.object({ + type: z.literal("refusal"), + refusal: z.string(), + }), + // TODO: much more objects: File search tool call, Computer tool call, Computer tool call output, Web search tool call, Function tool call, Function tool call output, Reasoning, Image generation call, Code interpreter tool call, Local shell call, Local shell call output, MCP list tools, MCP approval request, MCP approval response, MCP tool call + ]) + ), + }), + // z.object({ + // id: z.string(), + // type: z.enum(["item_reference"]).default("item_reference"), + // }), + ]) + ), + ]), + instructions: z.string().nullable().default(null), + max_output_tokens: z.number().min(0).nullable().default(null), + // max_tool_calls: z.number().min(0).nullable().default(null), + metadata: z + .record(z.string().max(64), z.string().max(512)) + .refine((val) => Object.keys(val).length <= 16, { + message: "Must have at most 16 items", + }) + .nullable() + .default(null), + model: z.string(), + // parallel_tool_calls: z.boolean().default(true), // TODO: how to handle this if chat completion doesn't? + // previous_response_id: z.string().nullable().default(null), + // reasoning: z.object({ + // effort: z.enum(["low", "medium", "high"]).default("medium"), + // summary: z.enum(["auto", "concise", "detailed"]).nullable().default(null), + // }), + // store: z.boolean().default(true), + stream: z.boolean().default(false), + temperature: z.number().min(0).max(2).default(1), + text: z + .object({ + format: z.union([ + z.object({ + type: z.literal("text"), + }), + z.object({ + type: z.literal("json_object"), + }), + z.object({ + type: z.literal("json_schema"), + name: z + .string() + .max(64, "Must be at most 64 characters") + .regex(/^[a-zA-Z0-9_-]+$/, "Only letters, numbers, underscores, and dashes are allowed"), + description: z.string().optional(), + schema: z.record(z.any()), + strict: z.boolean().default(false), + }), + ]), + }) + .optional(), + tool_choice: z + .union([ + z.enum(["auto", "none", "required"]), + z.object({ + type: z.enum(["function"]), + name: z.string(), + }), + // TODO: also hosted tool and MCP tool + ]) + .optional(), + tools: z + .array( + z.object({ + name: z.string(), + parameters: z.record(z.any()), + strict: z.boolean().default(true), + type: z.enum(["function"]), + description: z.string().optional(), + }) + ) + .optional(), + // top_logprobs: z.number().min(0).max(20).nullable().default(null), + top_p: z.number().min(0).max(1).default(1), + // truncation: z.enum(["auto", "disabled"]).default("disabled"), + // user +}); + +export type CreateResponseParams = z.infer; diff --git a/src/server.ts b/src/server.ts new file mode 100644 index 0000000..d183b53 --- /dev/null +++ b/src/server.ts @@ -0,0 +1,22 @@ +import express, { type Express } from "express"; +import { createResponseParamsSchema } from "./schemas.js"; +import { validateBody } from "./middleware/validation.js"; +import { requestLogger } from "./middleware/logging.js"; +import { postCreateResponse } from "./routes/index.js"; + +export const createApp = (): Express => { + const app: Express = express(); + + // Middleware + app.use(requestLogger()); + app.use(express.json()); + + // Routes + app.get("/", (req, res) => { + res.send("hello world"); + }); + + app.post("/v1/responses", validateBody(createResponseParamsSchema), postCreateResponse); + + return app; +}; diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..8274efe --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,21 @@ +{ + "compilerOptions": { + "allowSyntheticDefaultImports": true, + "lib": ["ES2022", "DOM"], + "module": "CommonJS", + "moduleResolution": "node", + "target": "ES2022", + "forceConsistentCasingInFileNames": true, + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "skipLibCheck": true, + "noImplicitOverride": true, + "outDir": "./dist", + "declaration": true, + "declarationMap": true, + "resolveJsonModule": true + }, + "include": ["src", "test"], + "exclude": ["dist"] +}