chore(docs): fix incorrect client var names (#955)

Author: stainless-app[bot]

README.md

@@ -35,7 +35,7 @@ const client = new OpenAI({
 });
 
 async function main() {
-  const chatCompletion = await openai.chat.completions.create({
+  const chatCompletion = await client.chat.completions.create({
     messages: [{ role: 'user', content: 'Say this is a test' }],
     model: 'gpt-3.5-turbo',
   });
@@ -53,7 +53,7 @@ import OpenAI from 'openai';
 
 const client = new OpenAI();
 
-const stream = await openai.chat.completions.create({
+const stream = await client.chat.completions.create({
   messages: [{ role: 'user', content: 'Say this is a test' }],
   model: 'gpt-3.5-turbo',
   stream: true,
@@ -83,7 +83,7 @@ async function main() {
     messages: [{ role: 'user', content: 'Say this is a test' }],
     model: 'gpt-3.5-turbo',
   };
-  const chatCompletion: OpenAI.Chat.ChatCompletion = await openai.chat.completions.create(params);
+  const chatCompletion: OpenAI.Chat.ChatCompletion = await client.chat.completions.create(params);
 }
 
 main();
@@ -108,20 +108,20 @@ import OpenAI, { toFile } from 'openai';
 const client = new OpenAI();
 
 // If you have access to Node `fs` we recommend using `fs.createReadStream()`:
-await openai.files.create({ file: fs.createReadStream('input.jsonl'), purpose: 'fine-tune' });
+await client.files.create({ file: fs.createReadStream('input.jsonl'), purpose: 'fine-tune' });
 
 // Or if you have the web `File` API you can pass a `File` instance:
-await openai.files.create({ file: new File(['my bytes'], 'input.jsonl'), purpose: 'fine-tune' });
+await client.files.create({ file: new File(['my bytes'], 'input.jsonl'), purpose: 'fine-tune' });
 
 // You can also pass a `fetch` `Response`:
-await openai.files.create({ file: await fetch('https://somesite/input.jsonl'), purpose: 'fine-tune' });
+await client.files.create({ file: await fetch('https://somesite/input.jsonl'), purpose: 'fine-tune' });
 
 // Finally, if none of the above are convenient, you can use our `toFile` helper:
-await openai.files.create({
+await client.files.create({
   file: await toFile(Buffer.from('my bytes'), 'input.jsonl'),
   purpose: 'fine-tune',
 });
-await openai.files.create({
+await client.files.create({
   file: await toFile(new Uint8Array([0, 1, 2]), 'input.jsonl'),
   purpose: 'fine-tune',
 });
@@ -136,7 +136,7 @@ a subclass of `APIError` will be thrown:
 <!-- prettier-ignore -->
 ```ts
 async function main() {
-  const job = await openai.fineTuning.jobs
+  const job = await client.fineTuning.jobs
     .create({ model: 'gpt-3.5-turbo', training_file: 'file-abc123' })
     .catch(async (err) => {
       if (err instanceof OpenAI.APIError) {
@@ -181,7 +181,7 @@ const client = new OpenAI({
 });
 
 // Or, configure per-request:
-await openai.chat.completions.create({ messages: [{ role: 'user', content: 'How can I get the name of the current day in Node.js?' }], model: 'gpt-3.5-turbo' }, {
+await client.chat.completions.create({ messages: [{ role: 'user', content: 'How can I get the name of the current day in Node.js?' }], model: 'gpt-3.5-turbo' }, {
   maxRetries: 5,
 });
 ```
@@ -198,7 +198,7 @@ const client = new OpenAI({
 });
 
 // Override per-request:
-await openai.chat.completions.create({ messages: [{ role: 'user', content: 'How can I list all files in a directory using Python?' }], model: 'gpt-3.5-turbo' }, {
+await client.chat.completions.create({ messages: [{ role: 'user', content: 'How can I list all files in a directory using Python?' }], model: 'gpt-3.5-turbo' }, {
   timeout: 5 * 1000,
 });
 ```
@@ -216,7 +216,7 @@ You can use `for await … of` syntax to iterate through items across all pages:
 async function fetchAllFineTuningJobs(params) {
   const allFineTuningJobs = [];
   // Automatically fetches more pages as needed.
-  for await (const fineTuningJob of openai.fineTuning.jobs.list({ limit: 20 })) {
+  for await (const fineTuningJob of client.fineTuning.jobs.list({ limit: 20 })) {
     allFineTuningJobs.push(fineTuningJob);
   }
   return allFineTuningJobs;
@@ -226,7 +226,7 @@ async function fetchAllFineTuningJobs(params) {
 Alternatively, you can make request a single page at a time:
 
 ```ts
-let page = await openai.fineTuning.jobs.list({ limit: 20 });
+let page = await client.fineTuning.jobs.list({ limit: 20 });
 for (const fineTuningJob of page.data) {
   console.log(fineTuningJob);
 }
@@ -250,13 +250,13 @@ You can also use the `.withResponse()` method to get the raw `Response` along wi
 ```ts
 const client = new OpenAI();
 
-const response = await openai.chat.completions
+const response = await client.chat.completions
   .create({ messages: [{ role: 'user', content: 'Say this is a test' }], model: 'gpt-3.5-turbo' })
   .asResponse();
 console.log(response.headers.get('X-My-Header'));
 console.log(response.statusText); // access the underlying Response object
 
-const { data: chatCompletion, response: raw } = await openai.chat.completions
+const { data: chatCompletion, response: raw } = await client.chat.completions
   .create({ messages: [{ role: 'user', content: 'Say this is a test' }], model: 'gpt-3.5-turbo' })
   .withResponse();
 console.log(raw.headers.get('X-My-Header'));
@@ -364,7 +364,7 @@ const client = new OpenAI({
 });
 
 // Override per-request:
-await openai.models.list({
+await client.models.list({
   httpAgent: new http.Agent({ keepAlive: false }),
 });
 ```

tests/api-resources/audio/speech.test.ts

@@ -2,15 +2,15 @@
 
 import OpenAI from 'openai';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010',
 });
 
 describe('resource speech', () => {
   // binary tests are currently broken
   test.skip('create: required and optional params', async () => {
-    const response = await openai.audio.speech.create({
+    const response = await client.audio.speech.create({
       input: 'input',
       model: 'string',
       voice: 'alloy',

tests/api-resources/audio/transcriptions.test.ts

@@ -3,14 +3,14 @@
 import OpenAI, { toFile } from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010',
 });
 
 describe('resource transcriptions', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.audio.transcriptions.create({
+    const responsePromise = client.audio.transcriptions.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
       model: 'whisper-1',
     });
@@ -24,7 +24,7 @@ describe('resource transcriptions', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.audio.transcriptions.create({
+    const response = await client.audio.transcriptions.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
       model: 'whisper-1',
       language: 'language',

tests/api-resources/audio/translations.test.ts

@@ -3,14 +3,14 @@
 import OpenAI, { toFile } from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010',
 });
 
 describe('resource translations', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.audio.translations.create({
+    const responsePromise = client.audio.translations.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
       model: 'whisper-1',
     });
@@ -24,7 +24,7 @@ describe('resource translations', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.audio.translations.create({
+    const response = await client.audio.translations.create({
       file: await toFile(Buffer.from('# my file contents'), 'README.md'),
       model: 'whisper-1',
       prompt: 'prompt',

tests/api-resources/batches.test.ts

@@ -3,14 +3,14 @@
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010',
 });
 
 describe('resource batches', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.batches.create({
+    const responsePromise = client.batches.create({
       completion_window: '24h',
       endpoint: '/v1/chat/completions',
       input_file_id: 'input_file_id',
@@ -25,7 +25,7 @@ describe('resource batches', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.batches.create({
+    const response = await client.batches.create({
       completion_window: '24h',
       endpoint: '/v1/chat/completions',
       input_file_id: 'input_file_id',
@@ -34,7 +34,7 @@ describe('resource batches', () => {
   });
 
   test('retrieve', async () => {
-    const responsePromise = openai.batches.retrieve('batch_id');
+    const responsePromise = client.batches.retrieve('batch_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -46,13 +46,13 @@ describe('resource batches', () => {
 
   test('retrieve: request options instead of params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
-    await expect(openai.batches.retrieve('batch_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.batches.retrieve('batch_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
 
   test('list', async () => {
-    const responsePromise = openai.batches.list();
+    const responsePromise = client.batches.list();
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -64,20 +64,20 @@ describe('resource batches', () => {
 
   test('list: request options instead of params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
-    await expect(openai.batches.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.batches.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
 
   test('list: request options and params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
     await expect(
-      openai.batches.list({ after: 'after', limit: 0 }, { path: '/_stainless_unknown_path' }),
+      client.batches.list({ after: 'after', limit: 0 }, { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('cancel', async () => {
-    const responsePromise = openai.batches.cancel('batch_id');
+    const responsePromise = client.batches.cancel('batch_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -89,7 +89,7 @@ describe('resource batches', () => {
 
   test('cancel: request options instead of params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
-    await expect(openai.batches.cancel('batch_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.batches.cancel('batch_id', { path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });

tests/api-resources/beta/assistants.test.ts

@@ -3,14 +3,14 @@
 import OpenAI from 'openai';
 import { Response } from 'node-fetch';
 
-const openai = new OpenAI({
+const client = new OpenAI({
   apiKey: 'My API Key',
   baseURL: process.env['TEST_API_BASE_URL'] ?? 'http://127.0.0.1:4010',
 });
 
 describe('resource assistants', () => {
   test('create: only required params', async () => {
-    const responsePromise = openai.beta.assistants.create({ model: 'gpt-4-turbo' });
+    const responsePromise = client.beta.assistants.create({ model: 'gpt-4-turbo' });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -21,7 +21,7 @@ describe('resource assistants', () => {
   });
 
   test('create: required and optional params', async () => {
-    const response = await openai.beta.assistants.create({
+    const response = await client.beta.assistants.create({
       model: 'gpt-4-turbo',
       description: 'description',
       instructions: 'instructions',
@@ -44,7 +44,7 @@ describe('resource assistants', () => {
   });
 
   test('retrieve', async () => {
-    const responsePromise = openai.beta.assistants.retrieve('assistant_id');
+    const responsePromise = client.beta.assistants.retrieve('assistant_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -57,12 +57,12 @@ describe('resource assistants', () => {
   test('retrieve: request options instead of params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
     await expect(
-      openai.beta.assistants.retrieve('assistant_id', { path: '/_stainless_unknown_path' }),
+      client.beta.assistants.retrieve('assistant_id', { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('update', async () => {
-    const responsePromise = openai.beta.assistants.update('assistant_id', {});
+    const responsePromise = client.beta.assistants.update('assistant_id', {});
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -73,7 +73,7 @@ describe('resource assistants', () => {
   });
 
   test('list', async () => {
-    const responsePromise = openai.beta.assistants.list();
+    const responsePromise = client.beta.assistants.list();
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -85,23 +85,23 @@ describe('resource assistants', () => {
 
   test('list: request options instead of params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
-    await expect(openai.beta.assistants.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
+    await expect(client.beta.assistants.list({ path: '/_stainless_unknown_path' })).rejects.toThrow(
       OpenAI.NotFoundError,
     );
   });
 
   test('list: request options and params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
     await expect(
-      openai.beta.assistants.list(
+      client.beta.assistants.list(
         { after: 'after', before: 'before', limit: 0, order: 'asc' },
         { path: '/_stainless_unknown_path' },
       ),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 
   test('del', async () => {
-    const responsePromise = openai.beta.assistants.del('assistant_id');
+    const responsePromise = client.beta.assistants.del('assistant_id');
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -114,7 +114,7 @@ describe('resource assistants', () => {
   test('del: request options instead of params are passed correctly', async () => {
     // ensure the request options are being passed correctly by passing an invalid HTTP method in order to cause an error
     await expect(
-      openai.beta.assistants.del('assistant_id', { path: '/_stainless_unknown_path' }),
+      client.beta.assistants.del('assistant_id', { path: '/_stainless_unknown_path' }),
     ).rejects.toThrow(OpenAI.NotFoundError);
   });
 });