init

.env.example

@@ -0,0 +1,7 @@
+OPENAI_API_KEY=your_openai_api_key
+OPENAI_BASE_URL=https://api.openai.com/v1
+PORT=3000
+MEDIA_TTL_SECONDS=3600
+REQUEST_TIMEOUT_MS=60000
+JSON_LIMIT=50mb
+MAX_AUDIO_DOWNLOAD_MB=25

.gitignore

@@ -0,0 +1,9 @@
+node_modules/
+.env
+dist/
+coverage/
+tmp/
+.tmp/
+*.log
+npm-debug.log*
+.DS_Store

doc/agent.md

@@ -0,0 +1,23 @@
+# Agent Task Log
+
+## Current Task
+
+- Start time: 2026-03-01T00:59:31.8639973+08:00
+- End time: 2026-03-01T01:12:48.8144187+08:00
+- Total time: 00:13:16.9504214
+- Agent: codex/gpt5-codex
+- Status: completed
+
+## Plan Used For This Task
+
+1. Create the Node.js project scaffold, env config, and ignore files.
+2. Implement an OpenAI-compatible chat completions proxy at `POST /v1/chat/completions`.
+3. Normalize media input so images accept URL/base64 and audio accepts base64 or URL, with audio URLs downloaded and converted to mp3 base64 before upstream forwarding.
+4. Normalize media output so audio base64 is also exposed as a proxy URL, and image data URLs returned by compatible backends are also exposed as proxy URLs.
+5. Add tests, a temp-folder build script, and the required documentation updates.
+
+## Unfinished Task Handoff Format
+
+- Put the active plan here before implementation starts.
+- Record the start timestamp here and in `doc/update.md`.
+- Move completed task records into `doc/updates.md` with the newest task first.

doc/common_mistakes.md

@@ -0,0 +1,9 @@
+# Common Mistakes
+
+- Do not commit `.env`; it is intentionally ignored and should stay local.
+- Use `POST /v1/chat/completions` with JSON only. Multipart upload is not implemented.
+- For image input, send either an `http(s)` URL, a data URL, or raw base64 on `image_url.url`.
+- For audio input, send base64 on `input_audio.data` with `format: "mp3"` or `"wav"`, or send `input_audio.url` and let the proxy download and convert it to mp3.
+- Streamed chat completions are passed through directly, so proxy-hosted media URLs are only added on non-stream responses.
+- Proxy-hosted media files are stored in memory and expire after `MEDIA_TTL_SECONDS`.
+- Keep modules small and focused; this project follows the principle of simple modules with clear responsibility.

doc/overview.md

@@ -0,0 +1,72 @@
+# Overview
+
+## Current Status
+
+- Project type: Node.js OpenAI-compatible chat completions proxy.
+- Status: working baseline implemented and verified.
+- Verified with `npm test`, `npm run build`, and a live `GET /v1/health` startup check.
+- Build output folder: `C:\Users\a\AppData\Local\Temp\oapix-build`
+
+## What The App Does
+
+- Exposes `POST /v1/chat/completions` as a proxy to an OpenAI-compatible upstream base URL.
+- Accepts image input as URL, data URL, or raw base64 on `image_url.url`.
+- Accepts audio input as base64 on `input_audio.data` or as `input_audio.url`.
+- Downloads audio URLs, converts them to mp3, base64-encodes them, and forwards them upstream.
+- Exposes audio output base64 as a temporary proxy URL on non-stream responses.
+- Exposes image data URLs returned by compatible upstreams as temporary proxy URLs on non-stream responses.
+- Exposes `GET /v1/media/:mediaId` for temporary media retrieval and `GET /v1/health` for health checks.
+
+## Runtime Notes
+
+- Configure `OPENAI_API_KEY` and `OPENAI_BASE_URL` in the local `.env` file.
+- Media files are stored in memory and expire after `MEDIA_TTL_SECONDS`.
+- Stream responses are passed through directly and do not get extra proxy media URLs added.
+- The build script writes a bundled server file and deployment manifest files into the temp build folder.
+
+## Project Structure
+
+```text
+oapix/
+├─ .env.example                # Example environment variables for local setup
+├─ .gitignore                  # Node.js and local secret ignore rules
+├─ package-lock.json           # Locked dependency versions
+├─ package.json                # Scripts, runtime deps, and build deps
+├─ doc/
+│  ├─ agent.md                 # Agent task record and current-task workflow
+│  ├─ common_mistakes.md       # Project-specific pitfalls to avoid
+│  ├─ overview.md              # Current project status and structure
+│  ├─ update.md                # Latest finished-task summary
+│  └─ updates.md               # Historical task log, newest first
+├─ scripts/
+│  └─ build.mjs                # Temp-folder build output script
+├─ src/
+│  ├─ app.js                   # Express app factory and error handling
+│  ├─ config.js                # Env loading and validation
+│  ├─ server.js                # Dependency wiring and server startup
+│  ├─ controllers/
+│  │  ├─ chatController.js     # Chat proxy request handling
+│  │  └─ mediaController.js    # Temporary media download handling
+│  ├─ routes/
+│  │  └─ apiRouter.js          # `/v1` routes
+│  ├─ services/
+│  │  ├─ audioConversionService.js      # Audio URL download and mp3 conversion
+│  │  ├─ mediaStore.js                  # In-memory temporary media storage
+│  │  ├─ openAiService.js               # Upstream OpenAI-compatible fetch client
+│  │  ├─ requestNormalizationService.js # Input media normalization
+│  │  └─ responseNormalizationService.js# Output media normalization
+│  └─ utils/
+│     ├─ dataUrl.js            # Data URL and base64 helpers
+│     ├─ httpError.js          # HTTP error shape
+│     └─ mediaTypes.js         # Audio/image MIME helpers
+└─ test/
+   ├─ requestNormalization.test.js   # Request normalization tests
+   └─ responseNormalization.test.js  # Response normalization tests
+```
+
+## Main Commands
+
+- `npm install`
+- `npm start`
+- `npm test`
+- `npm run build`

doc/update.md

@@ -0,0 +1,14 @@
+# Latest Update
+
+## 2026-03-01 OpenAI Chat Proxy
+
+- Start: 2026-03-01T00:59:31.8639973+08:00
+- End: 2026-03-01T01:12:48.8144187+08:00
+- Total: 00:13:16.9504214
+- By: codex/gpt5-codex
+- Status: completed
+
+- Built a Node.js OpenAI-compatible chat completions proxy with image/audio input normalization.
+- Added audio URL download plus mp3 conversion before upstream forwarding.
+- Added proxy-hosted media URLs for audio output and compatible image output.
+- Verified with tests, a temp-folder build, and a live health-check run.

doc/updates.md

@@ -0,0 +1,14 @@
+# Updates
+
+## 2026-03-01 OpenAI Chat Proxy
+
+- Start: 2026-03-01T00:59:31.8639973+08:00
+- End: 2026-03-01T01:12:48.8144187+08:00
+- Total: 00:13:16.9504214
+- By: codex/gpt5-codex
+- Status: completed
+
+- Added a Node.js OpenAI-compatible chat completions proxy.
+- Added media normalization for image URL/base64 and audio URL/base64.
+- Added in-memory proxy media URLs for audio output and data-URL image output.
+- Added tests, env config, and a temp build script.

package-lock.json

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+      },
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+    "node_modules/typedarray": {
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+      "resolved": "https://registry.npmjs.org/typedarray/-/typedarray-0.0.6.tgz",
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+      "license": "MIT"
+    },
+    "node_modules/unpipe": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
+      "integrity": "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/util-deprecate": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
+      "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
+      "license": "MIT"
+    },
+    "node_modules/vary": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz",
+      "integrity": "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/wrappy": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
+      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+      "license": "ISC"
+    }
+  }
+}

package.json

@@ -0,0 +1,23 @@
+{
+  "name": "oapix",
+  "version": "0.1.0",
+  "private": true,
+  "type": "module",
+  "engines": {
+    "node": ">=20"
+  },
+  "scripts": {
+    "start": "node src/server.js",
+    "dev": "node --watch src/server.js",
+    "test": "node --test",
+    "build": "node scripts/build.mjs"
+  },
+  "dependencies": {
+    "dotenv": "^16.6.1",
+    "express": "^5.1.0",
+    "ffmpeg-static": "^5.2.0"
+  },
+  "devDependencies": {
+    "esbuild": "^0.25.9"
+  }
+}

scripts/build.mjs

@@ -0,0 +1,25 @@
+import os from "node:os";
+import path from "node:path";
+import { promises as fs } from "node:fs";
+import { build } from "esbuild";
+
+const outputDir = process.env.BUILD_OUT_DIR || path.join(os.tmpdir(), "oapix-build");
+
+await fs.rm(outputDir, { force: true, recursive: true });
+await fs.mkdir(outputDir, { recursive: true });
+
+await build({
+  entryPoints: ["src/server.js"],
+  outfile: path.join(outputDir, "server.js"),
+  bundle: true,
+  format: "esm",
+  platform: "node",
+  sourcemap: true,
+  external: ["express", "dotenv", "ffmpeg-static"]
+});
+
+await fs.copyFile("package.json", path.join(outputDir, "package.json"));
+await fs.copyFile("package-lock.json", path.join(outputDir, "package-lock.json")).catch(() => {});
+await fs.copyFile(".env.example", path.join(outputDir, ".env.example"));
+
+console.log(outputDir);

src/app.js

@@ -0,0 +1,32 @@
+import express from "express";
+import { createApiRouter } from "./routes/apiRouter.js";
+import { HttpError } from "./utils/httpError.js";
+
+export function createApp({
+  jsonLimit,
+  chatController,
+  mediaController
+}) {
+  const app = express();
+
+  app.disable("x-powered-by");
+  app.use(express.json({ limit: jsonLimit }));
+
+  app.use("/v1", createApiRouter({ chatController, mediaController }));
+
+  app.use((req, _res, next) => {
+    next(new HttpError(404, `Route not found: ${req.method} ${req.originalUrl}`));
+  });
+
+  app.use((error, _req, res, _next) => {
+    const statusCode = error.statusCode ?? 500;
+    res.status(statusCode).json({
+      error: {
+        message: error.message ?? "Internal server error",
+        details: error.details ?? null
+      }
+    });
+  });
+
+  return app;
+}

src/config.js

@@ -0,0 +1,41 @@
+import dotenv from "dotenv";
+
+dotenv.config();
+
+function numberFromEnv(env, key, fallback) {
+  const value = env[key];
+  if (value === undefined || value === "") {
+    return fallback;
+  }
+
+  const parsed = Number(value);
+  return Number.isFinite(parsed) ? parsed : fallback;
+}
+
+export function loadConfig(env = process.env) {
+  return {
+    openAiApiKey: env.OPENAI_API_KEY ?? "",
+    openAiBaseUrl: (env.OPENAI_BASE_URL ?? "https://api.openai.com/v1").replace(/\/+$/, ""),
+    port: numberFromEnv(env, "PORT", 3000),
+    mediaTtlSeconds: numberFromEnv(env, "MEDIA_TTL_SECONDS", 3600),
+    requestTimeoutMs: numberFromEnv(env, "REQUEST_TIMEOUT_MS", 60000),
+    jsonLimit: env.JSON_LIMIT ?? "50mb",
+    maxAudioDownloadMb: numberFromEnv(env, "MAX_AUDIO_DOWNLOAD_MB", 25)
+  };
+}
+
+export function validateConfig(config) {
+  const missing = [];
+
+  if (!config.openAiApiKey) {
+    missing.push("OPENAI_API_KEY");
+  }
+
+  if (!config.openAiBaseUrl) {
+    missing.push("OPENAI_BASE_URL");
+  }
+
+  if (missing.length > 0) {
+    throw new Error(`Missing required environment variables: ${missing.join(", ")}`);
+  }
+}

src/controllers/chatController.js

@@ -0,0 +1,47 @@
+import { Readable } from "node:stream";
+
+async function relayError(response, res) {
+  const contentType = response.headers.get("content-type") ?? "application/json";
+  const rawBody = await response.text();
+
+  res.status(response.status);
+  res.setHeader("content-type", contentType);
+  res.send(rawBody);
+}
+
+export function createChatController({
+  openAiService,
+  requestNormalizationService,
+  responseNormalizationService
+}) {
+  return async function chatController(req, res, next) {
+    try {
+      const { normalizedBody, responseContext } = await requestNormalizationService.normalize(req.body);
+      const upstreamResponse = await openAiService.createChatCompletion(normalizedBody);
+
+      if (!upstreamResponse.ok) {
+        await relayError(upstreamResponse, res);
+        return;
+      }
+
+      if (normalizedBody.stream) {
+        res.status(upstreamResponse.status);
+        res.setHeader("content-type", upstreamResponse.headers.get("content-type") ?? "text/event-stream");
+        Readable.fromWeb(upstreamResponse.body).pipe(res);
+        return;
+      }
+
+      const responseJson = await upstreamResponse.json();
+      const publicBaseUrl = `${req.protocol}://${req.get("host")}`;
+      const normalizedResponse = responseNormalizationService.normalize(responseJson, {
+        publicBaseUrl,
+        audioFormat: responseContext.audioFormat,
+        exposeMediaUrls: responseContext.exposeMediaUrls
+      });
+
+      res.status(upstreamResponse.status).json(normalizedResponse);
+    } catch (error) {
+      next(error);
+    }
+  };
+}

src/controllers/mediaController.js

@@ -0,0 +1,18 @@
+import { HttpError } from "../utils/httpError.js";
+
+export function createMediaController({ mediaStore }) {
+  return function mediaController(req, res, next) {
+    try {
+      const media = mediaStore.get(req.params.mediaId);
+      if (!media) {
+        throw new HttpError(404, "Media file not found or expired.");
+      }
+
+      res.setHeader("content-type", media.mimeType);
+      res.setHeader("cache-control", "private, max-age=3600");
+      res.send(media.buffer);
+    } catch (error) {
+      next(error);
+    }
+  };
+}

src/routes/apiRouter.js

@@ -0,0 +1,14 @@
+import { Router } from "express";
+
+export function createApiRouter({ chatController, mediaController }) {
+  const router = Router();
+
+  router.get("/health", (_req, res) => {
+    res.json({ ok: true });
+  });
+
+  router.post("/chat/completions", chatController);
+  router.get("/media/:mediaId", mediaController);
+
+  return router;
+}

src/server.js

@@ -0,0 +1,45 @@
+import { loadConfig, validateConfig } from "./config.js";
+import { createApp } from "./app.js";
+import { InMemoryMediaStore } from "./services/mediaStore.js";
+import { createAudioConversionService } from "./services/audioConversionService.js";
+import { createRequestNormalizationService } from "./services/requestNormalizationService.js";
+import { createResponseNormalizationService } from "./services/responseNormalizationService.js";
+import { createOpenAiService } from "./services/openAiService.js";
+import { createChatController } from "./controllers/chatController.js";
+import { createMediaController } from "./controllers/mediaController.js";
+
+const config = loadConfig();
+validateConfig(config);
+
+const mediaStore = new InMemoryMediaStore({ ttlSeconds: config.mediaTtlSeconds });
+const audioConversionService = createAudioConversionService({
+  maxAudioDownloadMb: config.maxAudioDownloadMb
+});
+const requestNormalizationService = createRequestNormalizationService({
+  audioConversionService
+});
+const responseNormalizationService = createResponseNormalizationService({
+  mediaStore
+});
+const openAiService = createOpenAiService({
+  apiKey: config.openAiApiKey,
+  baseUrl: config.openAiBaseUrl,
+  timeoutMs: config.requestTimeoutMs
+});
+
+const chatController = createChatController({
+  openAiService,
+  requestNormalizationService,
+  responseNormalizationService
+});
+const mediaController = createMediaController({ mediaStore });
+
+const app = createApp({
+  jsonLimit: config.jsonLimit,
+  chatController,
+  mediaController
+});
+
+app.listen(config.port, () => {
+  console.log(`oapix listening on http://localhost:${config.port}`);
+});

src/services/audioConversionService.js

@@ -0,0 +1,76 @@
+import { promises as fs } from "node:fs";
+import os from "node:os";
+import path from "node:path";
+import { spawn } from "node:child_process";
+import ffmpegPath from "ffmpeg-static";
+import { HttpError } from "../utils/httpError.js";
+
+function runFfmpeg(inputPath, outputPath) {
+  return new Promise((resolve, reject) => {
+    const child = spawn(ffmpegPath, [
+      "-y",
+      "-i",
+      inputPath,
+      "-vn",
+      "-acodec",
+      "libmp3lame",
+      outputPath
+    ]);
+
+    let stderr = "";
+
+    child.stderr.on("data", (chunk) => {
+      stderr += chunk.toString();
+    });
+
+    child.on("error", reject);
+    child.on("close", (code) => {
+      if (code === 0) {
+        resolve();
+        return;
+      }
+
+      reject(new HttpError(400, "Failed to convert audio to mp3.", stderr.trim() || undefined));
+    });
+  });
+}
+
+export function createAudioConversionService({ fetchImpl = fetch, maxAudioDownloadMb = 25 } = {}) {
+  const maxBytes = maxAudioDownloadMb * 1024 * 1024;
+
+  return {
+    async downloadAndConvertToMp3Base64(url) {
+      const parsedUrl = new URL(url);
+      if (!["http:", "https:"].includes(parsedUrl.protocol)) {
+        throw new HttpError(400, "Audio URL must use http or https.");
+      }
+
+      const response = await fetchImpl(url);
+      if (!response.ok) {
+        throw new HttpError(400, `Failed to download audio URL: ${response.status} ${response.statusText}`);
+      }
+
+      const audioBuffer = Buffer.from(await response.arrayBuffer());
+      if (audioBuffer.length > maxBytes) {
+        throw new HttpError(413, `Audio URL exceeded ${maxAudioDownloadMb}MB download limit.`);
+      }
+
+      const tempDir = await fs.mkdtemp(path.join(os.tmpdir(), "oapix-audio-"));
+      const inputPath = path.join(tempDir, "input-media");
+      const outputPath = path.join(tempDir, "output.mp3");
+
+      try {
+        await fs.writeFile(inputPath, audioBuffer);
+        await runFfmpeg(inputPath, outputPath);
+        const mp3Buffer = await fs.readFile(outputPath);
+
+        return {
+          data: mp3Buffer.toString("base64"),
+          format: "mp3"
+        };
+      } finally {
+        await fs.rm(tempDir, { force: true, recursive: true });
+      }
+    }
+  };
+}

src/services/mediaStore.js

@@ -0,0 +1,45 @@
+import { randomUUID } from "node:crypto";
+
+export class InMemoryMediaStore {
+  constructor({ ttlSeconds = 3600 } = {}) {
+    this.ttlSeconds = ttlSeconds;
+    this.items = new Map();
+  }
+
+  save({ buffer, mimeType, extension }) {
+    this.cleanup();
+
+    const id = randomUUID();
+    const expiresAt = Date.now() + (this.ttlSeconds * 1000);
+
+    this.items.set(id, {
+      buffer,
+      mimeType,
+      extension,
+      expiresAt
+    });
+
+    return { id, expiresAt };
+  }
+
+  get(id) {
+    this.cleanup();
+
+    const item = this.items.get(id);
+    if (!item) {
+      return null;
+    }
+
+    return item;
+  }
+
+  cleanup() {
+    const now = Date.now();
+
+    for (const [id, item] of this.items.entries()) {
+      if (item.expiresAt <= now) {
+        this.items.delete(id);
+      }
+    }
+  }
+}

src/services/openAiService.js

@@ -0,0 +1,22 @@
+export function createOpenAiService({ apiKey, baseUrl, timeoutMs = 60000, fetchImpl = fetch }) {
+  return {
+    async createChatCompletion(body) {
+      const controller = new AbortController();
+      const timeout = setTimeout(() => controller.abort(), timeoutMs);
+
+      try {
+        return await fetchImpl(`${baseUrl}/chat/completions`, {
+          method: "POST",
+          headers: {
+            "authorization": `Bearer ${apiKey}`,
+            "content-type": "application/json"
+          },
+          body: JSON.stringify(body),
+          signal: controller.signal
+        });
+      } finally {
+        clearTimeout(timeout);
+      }
+    }
+  };
+}

src/services/requestNormalizationService.js

@@ -0,0 +1,111 @@
+import { HttpError } from "../utils/httpError.js";
+import { imageMimeType } from "../utils/mediaTypes.js";
+import { isDataUrl, isLikelyBase64, parseDataUrl, stripDataUrl } from "../utils/dataUrl.js";
+
+const SUPPORTED_AUDIO_FORMATS = new Set(["mp3", "wav"]);
+
+function normalizeImageSource(source, mimeType) {
+  if (typeof source !== "string" || source.length === 0) {
+    throw new HttpError(400, "Image input must include a non-empty URL or base64 payload.");
+  }
+
+  if (source.startsWith("http://") || source.startsWith("https://") || isDataUrl(source)) {
+    return source;
+  }
+
+  if (isLikelyBase64(source)) {
+    return `data:${mimeType ?? imageMimeType("png")};base64,${source}`;
+  }
+
+  throw new HttpError(400, "Image input must be an http(s) URL, data URL, or raw base64 string.");
+}
+
+function normalizeImagePart(part) {
+  const image = typeof part.image_url === "string" ? { url: part.image_url } : part.image_url;
+  const source = image?.url ?? part.input_image?.url ?? part.input_image?.data;
+  const mimeType = part.mime_type ?? part.input_image?.mime_type;
+
+  return {
+    type: "image_url",
+    image_url: {
+      ...image,
+      url: normalizeImageSource(source, mimeType)
+    }
+  };
+}
+
+function normalizeAudioBase64(audio) {
+  const format = audio.format?.toLowerCase();
+  if (!SUPPORTED_AUDIO_FORMATS.has(format)) {
+    throw new HttpError(400, "Audio input format must be mp3 or wav.");
+  }
+
+  if (typeof audio.data !== "string" || audio.data.length === 0) {
+    throw new HttpError(400, "Audio input must include base64 data.");
+  }
+
+  const parsed = parseDataUrl(audio.data);
+  return {
+    data: stripDataUrl(audio.data),
+    format: parsed?.mimeType === "audio/wav" ? "wav" : format
+  };
+}
+
+export function createRequestNormalizationService({ audioConversionService }) {
+  return {
+    async normalize(body) {
+      if (!body || !Array.isArray(body.messages)) {
+        throw new HttpError(400, "Request body must include a messages array.");
+      }
+
+      const normalized = structuredClone(body);
+      const proxyOptions = normalized.proxy ?? {};
+      delete normalized.proxy;
+
+      for (const message of normalized.messages) {
+        if (!Array.isArray(message.content)) {
+          continue;
+        }
+
+        const nextParts = [];
+        for (const part of message.content) {
+          if (part.type === "image_url" || part.type === "input_image") {
+            nextParts.push(normalizeImagePart(part));
+            continue;
+          }
+
+          if (part.type === "input_audio") {
+            const audio = part.input_audio ?? {};
+
+            if (audio.url) {
+              const converted = await audioConversionService.downloadAndConvertToMp3Base64(audio.url);
+              nextParts.push({
+                type: "input_audio",
+                input_audio: converted
+              });
+              continue;
+            }
+
+            nextParts.push({
+              type: "input_audio",
+              input_audio: normalizeAudioBase64(audio)
+            });
+            continue;
+          }
+
+          nextParts.push(part);
+        }
+
+        message.content = nextParts;
+      }
+
+      return {
+        normalizedBody: normalized,
+        responseContext: {
+          audioFormat: normalized.audio?.format ?? "mp3",
+          exposeMediaUrls: proxyOptions.expose_media_urls !== false
+        }
+      };
+    }
+  };
+}

src/services/responseNormalizationService.js

@@ -0,0 +1,82 @@
+import { Buffer } from "node:buffer";
+import { isDataUrl, parseDataUrl } from "../utils/dataUrl.js";
+import { audioMimeType, extensionFromMimeType } from "../utils/mediaTypes.js";
+
+function mediaUrl(publicBaseUrl, mediaId) {
+  return `${publicBaseUrl}/v1/media/${mediaId}`;
+}
+
+export function createResponseNormalizationService({ mediaStore }) {
+  return {
+    normalize(body, { publicBaseUrl, audioFormat = "mp3", exposeMediaUrls = true } = {}) {
+      if (!body || !exposeMediaUrls) {
+        return body;
+      }
+
+      const normalized = structuredClone(body);
+      const proxyMedia = [];
+
+      for (const [choiceIndex, choice] of (normalized.choices ?? []).entries()) {
+        const message = choice?.message;
+        if (!message) {
+          continue;
+        }
+
+        if (message.audio?.data) {
+          const format = message.audio.format ?? audioFormat;
+          const media = mediaStore.save({
+            buffer: Buffer.from(message.audio.data, "base64"),
+            mimeType: audioMimeType(format),
+            extension: format
+          });
+
+          message.audio.format = format;
+          message.audio.url = mediaUrl(publicBaseUrl, media.id);
+          proxyMedia.push({
+            choice: choiceIndex,
+            type: "audio",
+            url: message.audio.url
+          });
+        }
+
+        if (!Array.isArray(message.content)) {
+          continue;
+        }
+
+        for (const [partIndex, part] of message.content.entries()) {
+          const imageUrl = part?.image_url?.url;
+          if (!isDataUrl(imageUrl)) {
+            continue;
+          }
+
+          const parsed = parseDataUrl(imageUrl);
+          if (!parsed) {
+            continue;
+          }
+
+          const media = mediaStore.save({
+            buffer: Buffer.from(parsed.base64, "base64"),
+            mimeType: parsed.mimeType,
+            extension: extensionFromMimeType(parsed.mimeType)
+          });
+
+          part.image_url.proxy_url = mediaUrl(publicBaseUrl, media.id);
+          proxyMedia.push({
+            choice: choiceIndex,
+            part: partIndex,
+            type: "image",
+            url: part.image_url.proxy_url
+          });
+        }
+      }
+
+      if (proxyMedia.length > 0) {
+        normalized.proxy = {
+          media: proxyMedia
+        };
+      }
+
+      return normalized;
+    }
+  };
+}

src/utils/dataUrl.js

@@ -0,0 +1,36 @@
+const DATA_URL_PATTERN = /^data:([^;,]+);base64,(.+)$/s;
+const BASE64_PATTERN = /^[A-Za-z0-9+/=]+$/;
+
+export function isDataUrl(value) {
+  return typeof value === "string" && value.startsWith("data:");
+}
+
+export function parseDataUrl(value) {
+  const match = value.match(DATA_URL_PATTERN);
+  if (!match) {
+    return null;
+  }
+
+  return {
+    mimeType: match[1],
+    base64: match[2]
+  };
+}
+
+export function isLikelyBase64(value) {
+  if (typeof value !== "string") {
+    return false;
+  }
+
+  const compact = value.replace(/\s+/g, "");
+  return compact.length > 0 && compact.length % 4 === 0 && BASE64_PATTERN.test(compact);
+}
+
+export function stripDataUrl(value) {
+  if (!isDataUrl(value)) {
+    return value;
+  }
+
+  const parsed = parseDataUrl(value);
+  return parsed ? parsed.base64 : value;
+}

src/utils/httpError.js

@@ -0,0 +1,8 @@
+export class HttpError extends Error {
+  constructor(statusCode, message, details) {
+    super(message);
+    this.name = "HttpError";
+    this.statusCode = statusCode;
+    this.details = details;
+  }
+}

src/utils/mediaTypes.js

@@ -0,0 +1,39 @@
+const AUDIO_MIME = {
+  mp3: "audio/mpeg",
+  wav: "audio/wav",
+  flac: "audio/flac",
+  opus: "audio/opus",
+  pcm16: "audio/L16"
+};
+
+const IMAGE_MIME = {
+  jpg: "image/jpeg",
+  jpeg: "image/jpeg",
+  png: "image/png",
+  webp: "image/webp",
+  gif: "image/gif"
+};
+
+export function audioMimeType(format) {
+  return AUDIO_MIME[format] ?? "application/octet-stream";
+}
+
+export function imageMimeType(format) {
+  return IMAGE_MIME[format] ?? "image/png";
+}
+
+export function extensionFromMimeType(mimeType) {
+  const mimeMap = {
+    "audio/mpeg": "mp3",
+    "audio/wav": "wav",
+    "audio/flac": "flac",
+    "audio/opus": "opus",
+    "audio/L16": "pcm16",
+    "image/jpeg": "jpg",
+    "image/png": "png",
+    "image/webp": "webp",
+    "image/gif": "gif"
+  };
+
+  return mimeMap[mimeType] ?? "bin";
+}

test/requestNormalization.test.js

@@ -0,0 +1,53 @@
+import test from "node:test";
+import assert from "node:assert/strict";
+import { createRequestNormalizationService } from "../src/services/requestNormalizationService.js";
+
+test("normalizes audio URLs to mp3 base64 and raw image base64 to data URLs", async () => {
+  const service = createRequestNormalizationService({
+    audioConversionService: {
+      async downloadAndConvertToMp3Base64(url) {
+        assert.equal(url, "https://example.com/sample.wav");
+        return {
+          data: "ZmFrZS1tcDM=",
+          format: "mp3"
+        };
+      }
+    }
+  });
+
+  const { normalizedBody, responseContext } = await service.normalize({
+    messages: [
+      {
+        role: "user",
+        content: [
+          {
+            type: "image_url",
+            image_url: {
+              url: "iVBORw0KGgoAAAANSUhEUgAAAAUA"
+            },
+            mime_type: "image/png"
+          },
+          {
+            type: "input_audio",
+            input_audio: {
+              url: "https://example.com/sample.wav"
+            }
+          }
+        ]
+      }
+    ],
+    audio: {
+      format: "wav"
+    }
+  });
+
+  assert.equal(normalizedBody.messages[0].content[0].image_url.url.startsWith("data:image/png;base64,"), true);
+  assert.deepEqual(normalizedBody.messages[0].content[1], {
+    type: "input_audio",
+    input_audio: {
+      data: "ZmFrZS1tcDM=",
+      format: "mp3"
+    }
+  });
+  assert.equal(responseContext.audioFormat, "wav");
+});

test/responseNormalization.test.js

@@ -0,0 +1,37 @@
+import test from "node:test";
+import assert from "node:assert/strict";
+import { InMemoryMediaStore } from "../src/services/mediaStore.js";
+import { createResponseNormalizationService } from "../src/services/responseNormalizationService.js";
+
+test("adds proxy URLs for audio and data-url image outputs", () => {
+  const mediaStore = new InMemoryMediaStore({ ttlSeconds: 3600 });
+  const service = createResponseNormalizationService({ mediaStore });
+
+  const normalized = service.normalize({
+    choices: [
+      {
+        message: {
+          audio: {
+            data: "ZmFrZS1hdWRpbw=="
+          },
+          content: [
+            {
+              type: "image_url",
+              image_url: {
+                url: "data:image/png;base64,aW1hZ2U="
+              }
+            }
+          ]
+        }
+      }
+    ]
+  }, {
+    publicBaseUrl: "http://localhost:3000",
+    audioFormat: "mp3",
+    exposeMediaUrls: true
+  });
+
+  assert.match(normalized.choices[0].message.audio.url, /^http:\/\/localhost:3000\/v1\/media\//);
+  assert.match(normalized.choices[0].message.content[0].image_url.proxy_url, /^http:\/\/localhost:3000\/v1\/media\//);
+  assert.equal(normalized.proxy.media.length, 2);
+});