chore(next => master): release 4.4.0

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "4.3.1"
+  ".": "4.4.0"
 }

CHANGELOG.md

@@ -1,5 +1,21 @@
 # Changelog
 
+## 4.4.0 (2023-09-01)
+
+Full Changelog: [v4.3.1...v4.4.0](https://github.com/openai/openai-node/compare/v4.3.1...v4.4.0)
+
+### Features
+
+* **package:** add Bun export map ([#269](https://github.com/openai/openai-node/issues/269)) ([16f239c](https://github.com/openai/openai-node/commit/16f239c6b4e8526371b01c511d2e0ebba4c5c8c6))
+* re-export chat completion types at the top level ([#268](https://github.com/openai/openai-node/issues/268)) ([1a71a39](https://github.com/openai/openai-node/commit/1a71a39421828fdde7b8605094363a5047d2fdc9))
+* **tests:** unskip multipart form data tests ([#275](https://github.com/openai/openai-node/issues/275)) ([47d3e18](https://github.com/openai/openai-node/commit/47d3e18a3ee987d04b958dad1a51821ad5472d54))
+* **types:** fix ambiguous auto-import for chat completions params ([#266](https://github.com/openai/openai-node/issues/266)) ([19c99fb](https://github.com/openai/openai-node/commit/19c99fb268d6d6c7fc7aaa66475c35f45d12b4bd))
+
+
+### Bug Fixes
+
+* revert import change which triggered circular import bug in webpack ([#274](https://github.com/openai/openai-node/issues/274)) ([6534e36](https://github.com/openai/openai-node/commit/6534e3620d7e2983e98b42cf95fa966deab1ab1d))
+
 ## 4.3.1 (2023-08-29)
 
 Full Changelog: [v4.3.0...v4.3.1](https://github.com/openai/openai-node/compare/v4.3.0...v4.3.1)

README.md

@@ -78,7 +78,7 @@ const openai = new OpenAI({
 });
 
 async function main() {
-  const params: OpenAI.Chat.CompletionCreateParams = {
+  const params: OpenAI.Chat.ChatCompletionCreateParams = {
     messages: [{ role: 'user', content: 'Say this is a test' }],
     model: 'gpt-3.5-turbo',
   };

api.md

@@ -19,6 +19,7 @@ Types:
 - <code><a href="./src/resources/chat/completions.ts">ChatCompletion</a></code>
 - <code><a href="./src/resources/chat/completions.ts">ChatCompletionChunk</a></code>
 - <code><a href="./src/resources/chat/completions.ts">ChatCompletionMessage</a></code>
+- <code><a href="./src/resources/chat/completions.ts">ChatCompletionMessageParam</a></code>
 - <code><a href="./src/resources/chat/completions.ts">CreateChatCompletionRequestMessage</a></code>
 
 Methods:

ecosystem-tests/bun/openai.test.ts

@@ -1,9 +1,26 @@
 import OpenAI, { toFile } from 'openai';
+import fs from 'fs';
 import { distance } from 'fastest-levenshtein';
 import { test, expect } from 'bun:test';
 
+const url = 'https://audio-samples.github.io/samples/mp3/blizzard_biased/sample-1.mp3';
+const filename = 'sample-1.mp3';
+
+const correctAnswer =
+  'It was anxious to find him no one that expectation of a man who were giving his father enjoyment. But he was avoided in sight in the minister to which indeed,';
+const model = 'whisper-1';
+
 const client = new OpenAI();
 
+async function typeTests() {
+  // @ts-expect-error this should error if the `Uploadable` type was resolved correctly
+  await client.audio.transcriptions.create({ file: { foo: true }, model: 'whisper-1' });
+  // @ts-expect-error this should error if the `Uploadable` type was resolved correctly
+  await client.audio.transcriptions.create({ file: null, model: 'whisper-1' });
+  // @ts-expect-error this should error if the `Uploadable` type was resolved correctly
+  await client.audio.transcriptions.create({ file: 'test', model: 'whisper-1' });
+}
+
 function expectSimilar(received: any, comparedTo: string, expectedDistance: number) {
   const message = () =>
     [
@@ -38,11 +55,80 @@ test(`streaming works`, async function () {
   expectSimilar(chunks.map((c) => c.choices[0]?.delta.content || '').join(''), 'This is a test', 10);
 });
 
-test(`toFile rejects`, async function () {
-  try {
-    await toFile(new TextEncoder().encode('foo'), 'foo.txt');
-    throw new Error(`expected toFile to reject`);
-  } catch (error) {
-    expect((error as any).message).toEqual(`file uploads aren't supported in this environment yet`);
-  }
+// @ts-ignore avoid DOM lib for testing purposes
+if (typeof File !== 'undefined') {
+  test.todo('handles builtinFile', async function () {
+    const file = await fetch(url)
+      .then((x) => x.arrayBuffer())
+      // @ts-ignore avoid DOM lib for testing purposes
+      .then((x) => new File([x], filename));
+
+    const result = await client.audio.transcriptions.create({ file, model });
+    expectSimilar(result.text, correctAnswer, 12);
+  });
+}
+
+test.todo('handles Response', async function () {
+  const file = await fetch(url);
+
+  const result = await client.audio.transcriptions.create({ file, model });
+  expectSimilar(result.text, correctAnswer, 12);
+});
+
+test.todo('handles fs.ReadStream', async function () {
+  const result = await client.audio.transcriptions.create({
+    file: fs.createReadStream('sample1.mp3'),
+    model,
+  });
+  expectSimilar(result.text, correctAnswer, 12);
+});
+
+const fineTune = `{"prompt": "<prompt text>", "completion": "<ideal generated text>"}`;
+
+// @ts-ignore avoid DOM lib for testing purposes
+if (typeof Blob !== 'undefined') {
+  test.todo('toFile handles builtin Blob', async function () {
+    const result = await client.files.create({
+      file: await toFile(
+        // @ts-ignore avoid DOM lib for testing purposes
+        new Blob([new TextEncoder().encode(fineTune)]),
+        'finetune.jsonl',
+      ),
+      purpose: 'fine-tune',
+    });
+    expect(result.status).toEqual('uploaded');
+  });
+}
+test.todo('toFile handles Uint8Array', async function () {
+  const result = await client.files.create({
+    file: await toFile(
+      // @ts-ignore avoid DOM lib for testing purposes
+      new TextEncoder().encode(fineTune),
+      'finetune.jsonl',
+    ),
+    purpose: 'fine-tune',
+  });
+  expect(result.status).toEqual('uploaded');
+});
+test.todo('toFile handles ArrayBuffer', async function () {
+  const result = await client.files.create({
+    file: await toFile(
+      // @ts-ignore avoid DOM lib for testing purposes
+      new TextEncoder().encode(fineTune).buffer,
+      'finetune.jsonl',
+    ),
+    purpose: 'fine-tune',
+  });
+  expect(result.status).toEqual('uploaded');
+});
+test.todo('toFile handles DataView', async function () {
+  const result = await client.files.create({
+    file: await toFile(
+      // @ts-ignore avoid DOM lib for testing purposes
+      new DataView(new TextEncoder().encode(fineTune).buffer),
+      'finetune.jsonl',
+    ),
+    purpose: 'fine-tune',
+  });
+  expect(result.status).toEqual('uploaded');
 });

ecosystem-tests/bun/package.json

@@ -7,9 +7,7 @@
   },
   "devDependencies": {
     "fastest-levenshtein": "^1.0.16",
-    "bun-types": "latest"
-  },
-  "peerDependencies": {
-    "typescript": "^5.0.0"
+    "bun-types": "latest",
+    "typescript": "^5.1.0"
   }
 }

ecosystem-tests/cli.ts

@@ -268,7 +268,7 @@ async function main() {
         console.error('\n');
 
         try {
-          await withRetry(fn, project, state.retry)
+          await withRetry(fn, project, state.retry);
           console.error(`✅ - Successfully ran ${project}`);
         } catch (err) {
           if (err && (err as any).shortMessage) {
@@ -294,13 +294,13 @@ async function main() {
 async function withRetry(fn: () => Promise<void>, identifier: string, retryAmount: number): Promise<void> {
   do {
     try {
-      return await fn()
+      return await fn();
     } catch (err) {
-      console.error(`${identifier} failed due to ${err}; retries left ${retryAmount}`)
+      retryAmount--;
+      if (retryAmount === 0) throw err;
+      console.error(`${identifier} failed due to ${err}; retries left ${retryAmount}`);
     }
-
-    retryAmount--;
-  } while (retryAmount > 0)
+  } while (retryAmount > 0);
 }
 
 function centerPad(text: string, width = text.length, char = ' '): string {

examples/chat-params-types.ts

@@ -9,7 +9,7 @@ const openai = new OpenAI();
 async function main() {
   // ---------------- Explicit non-streaming params ------------
 
-  const params: OpenAI.Chat.CompletionCreateParams = {
+  const params: OpenAI.Chat.ChatCompletionCreateParams = {
     model: 'gpt-4',
     messages: [{ role: 'user', content: 'Say this is a test!' }],
   };
@@ -18,7 +18,7 @@ async function main() {
 
   // ---------------- Explicit streaming params ----------------
 
-  const streamingParams: OpenAI.Chat.CompletionCreateParams = {
+  const streamingParams: OpenAI.Chat.ChatCompletionCreateParams = {
     model: 'gpt-4',
     messages: [{ role: 'user', content: 'Say this is a test!' }],
     stream: true,
@@ -32,12 +32,12 @@ async function main() {
 
   // ---------------- Explicit (non)streaming types ----------------
 
-  const params1: OpenAI.Chat.CompletionCreateParamsNonStreaming = {
+  const params1: OpenAI.Chat.ChatCompletionCreateParamsNonStreaming = {
     model: 'gpt-4',
     messages: [{ role: 'user', content: 'Say this is a test!' }],
   };
 
-  const params2: OpenAI.Chat.CompletionCreateParamsStreaming = {
+  const params2: OpenAI.Chat.ChatCompletionCreateParamsStreaming = {
     model: 'gpt-4',
     messages: [{ role: 'user', content: 'Say this is a test!' }],
     stream: true,
@@ -52,9 +52,9 @@ async function main() {
   // `role: string` is not assignable.
   const streamingParams2 = {
     model: 'gpt-4',
-    messages: [{ role: 'user', content: 'Say this is a test!' }],
-    stream: true,
-  } as const;
+    messages: [{ role: 'user' as const, content: 'Say this is a test!' }],
+    stream: true as const,
+  };
 
   // TS knows this is a Stream instance.
   const stream2 = await openai.chat.completions.create(streamingParams2);
@@ -95,11 +95,13 @@ async function main() {
 // not the response will be streamed.
 export async function createCompletionParams(
   stream: true,
-): Promise<OpenAI.Chat.CompletionCreateParamsStreaming>;
+): Promise<OpenAI.Chat.ChatCompletionCreateParamsStreaming>;
 export async function createCompletionParams(
   stream: false,
-): Promise<OpenAI.Chat.CompletionCreateParamsNonStreaming>;
-export async function createCompletionParams(stream: boolean): Promise<OpenAI.Chat.CompletionCreateParams> {
+): Promise<OpenAI.Chat.ChatCompletionCreateParamsNonStreaming>;
+export async function createCompletionParams(
+  stream: boolean,
+): Promise<OpenAI.Chat.ChatCompletionCreateParams> {
   const params = {
     model: 'gpt-3.5-turbo',
     messages: [{ role: 'user' as const, content: 'Hello!' }],

examples/function-call-stream.ts

@@ -5,13 +5,13 @@ import OpenAI from 'openai';
 import {
   ChatCompletionMessage,
   ChatCompletionChunk,
-  CreateChatCompletionRequestMessage,
+  ChatCompletionMessageParam,
 } from 'openai/resources/chat';
 
 // gets API Key from environment variable OPENAI_API_KEY
 const openai = new OpenAI();
 
-const functions: OpenAI.Chat.CompletionCreateParams.Function[] = [
+const functions: OpenAI.Chat.ChatCompletionCreateParams.Function[] = [
   {
     name: 'list',
     description: 'list queries books by genre, and returns a list of names of books',
@@ -63,7 +63,7 @@ async function callFunction(function_call: ChatCompletionMessage.FunctionCall):
 }
 
 async function main() {
-  const messages: CreateChatCompletionRequestMessage[] = [
+  const messages: ChatCompletionMessageParam[] = [
     {
       role: 'system',
       content:

examples/function-call.ts

@@ -1,12 +1,12 @@
 #!/usr/bin/env -S npm run tsn -T
 
 import OpenAI from 'openai';
-import { ChatCompletionMessage, CreateChatCompletionRequestMessage } from 'openai/resources/chat';
+import { ChatCompletionMessage, ChatCompletionMessageParam } from 'openai/resources/chat';
 
 // gets API Key from environment variable OPENAI_API_KEY
 const openai = new OpenAI();
 
-const functions: OpenAI.Chat.CompletionCreateParams.Function[] = [
+const functions: OpenAI.Chat.ChatCompletionCreateParams.Function[] = [
   {
     name: 'list',
     description: 'list queries books by genre, and returns a list of names of books',
@@ -58,7 +58,7 @@ async function callFunction(function_call: ChatCompletionMessage.FunctionCall):
 }
 
 async function main() {
-  const messages: CreateChatCompletionRequestMessage[] = [
+  const messages: ChatCompletionMessageParam[] = [
     {
       role: 'system',
       content:

package.json

@@ -1,6 +1,6 @@
 {
   "name": "openai",
-  "version": "4.3.1",
+  "version": "4.4.0",
   "description": "Client library for the OpenAI API",
   "author": "OpenAI <[email protected]>",
   "types": "dist/index.d.ts",
@@ -16,6 +16,11 @@
         "require": "./dist/_shims/*.js",
         "default": "./dist/_shims/*.mjs"
       },
+      "bun": {
+        "types": "./dist/_shims/*.d.ts",
+        "require": "./dist/_shims/*.js",
+        "default": "./dist/_shims/*.mjs"
+      },
       "browser": {
         "types": "./dist/_shims/*.d.ts",
         "require": "./dist/_shims/*.js",

src/resources/chat/chat.ts

@@ -13,8 +13,12 @@ export namespace Chat {
   export import ChatCompletion = API.ChatCompletion;
   export import ChatCompletionChunk = API.ChatCompletionChunk;
   export import ChatCompletionMessage = API.ChatCompletionMessage;
+  export import ChatCompletionMessageParam = API.ChatCompletionMessageParam;
   export import CreateChatCompletionRequestMessage = API.CreateChatCompletionRequestMessage;
+  export import ChatCompletionCreateParams = API.ChatCompletionCreateParams;
   export import CompletionCreateParams = API.CompletionCreateParams;
+  export import ChatCompletionCreateParamsNonStreaming = API.ChatCompletionCreateParamsNonStreaming;
   export import CompletionCreateParamsNonStreaming = API.CompletionCreateParamsNonStreaming;
+  export import ChatCompletionCreateParamsStreaming = API.ChatCompletionCreateParamsStreaming;
   export import CompletionCreateParamsStreaming = API.CompletionCreateParamsStreaming;
 }