feat(api): add text embeddings dimensions param (#650)

src/resources/chat/completions.ts

@@ -660,6 +660,8 @@ export interface ChatCompletionCreateParamsBase {
    */
   model:
     | (string & {})
+    | 'gpt-4-0125-preview'
+    | 'gpt-4-turbo-preview'
     | 'gpt-4-1106-preview'
     | 'gpt-4-vision-preview'
     | 'gpt-4'
@@ -754,7 +756,8 @@ export interface ChatCompletionCreateParamsBase {
 
   /**
    * An object specifying the format that the model must output. Compatible with
-   * `gpt-4-1106-preview` and `gpt-3.5-turbo-1106`.
+   * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
+   * `gpt-3.5-turbo-1106`.
    *
    * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
    * message the model generates is valid JSON.
@@ -874,7 +877,8 @@ export namespace ChatCompletionCreateParams {
 
   /**
    * An object specifying the format that the model must output. Compatible with
-   * `gpt-4-1106-preview` and `gpt-3.5-turbo-1106`.
+   * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
+   * `gpt-3.5-turbo-1106`.
    *
    * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
    * message the model generates is valid JSON.

src/resources/embeddings.ts

@@ -96,7 +96,13 @@ export interface EmbeddingCreateParams {
    * [Model overview](https://platform.openai.com/docs/models/overview) for
    * descriptions of them.
    */
-  model: (string & {}) | 'text-embedding-ada-002';
+  model: (string & {}) | 'text-embedding-ada-002' | 'text-embedding-3-small' | 'text-embedding-3-large';
+
+  /**
+   * The number of dimensions the resulting output embeddings should have. Only
+   * supported in `text-embedding-3` and later models.
+   */
+  dimensions?: number;
 
   /**
    * The format to return the embeddings in. Can be either `float` or

tests/api-resources/embeddings.test.ts

@@ -12,7 +12,7 @@ describe('resource embeddings', () => {
   test('create: only required params', async () => {
     const responsePromise = openai.embeddings.create({
       input: 'The quick brown fox jumped over the lazy dog',
-      model: 'text-embedding-ada-002',
+      model: 'text-embedding-3-small',
     });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
@@ -26,7 +26,8 @@ describe('resource embeddings', () => {
   test('create: required and optional params', async () => {
     const response = await openai.embeddings.create({
       input: 'The quick brown fox jumped over the lazy dog',
-      model: 'text-embedding-ada-002',
+      model: 'text-embedding-3-small',
+      dimensions: 1,
       encoding_format: 'float',
       user: 'user-1234',
     });