feat(api): api update

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 35
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/togetherai%2Ftogetherai-6a22514b4135fd95c089056c58f3bbfa0690b948fcebaff46cd7f8059ce197af.yml
-openapi_spec_hash: 44185aa5883e5c4ca09c86bc12f5fd18
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/togetherai%2Ftogetherai-f95d7f3aa4164abb82f5ba3a1ccc44105e9ce85c5d2bb8f0ac58f8ef18ffc254.yml
+openapi_spec_hash: 0b0cac750868ea6ba74b338888169518
 config_hash: 2887483246d24a361689cbd1258db7cf

src/resources/audio/transcriptions.ts

@@ -14,10 +14,7 @@ export class Transcriptions extends APIResource {
    * ```ts
    * const transcription =
    *   await client.audio.transcriptions.create({
-   *     file: {
-   *       data: fs.createReadStream('path/to/file'),
-   *       type: 'binary',
-   *     },
+   *     file: fs.createReadStream('path/to/file'),
    *   });
    * ```
    */
@@ -117,10 +114,9 @@ export namespace TranscriptionCreateResponse {
 
 export interface TranscriptionCreateParams {
   /**
-   * Audio file upload or public HTTP/HTTPS URL. Supported formats .wav, .mp3, .m4a,
-   * .webm, .flac.
+   * Audio file to transcribe
    */
-  file: TranscriptionCreateParams.Binary | TranscriptionCreateParams.URL;
+  file: Uploadable;
 
   /**
    * Optional ISO 639-1 language code. If `auto` is provided, language is
@@ -156,26 +152,6 @@ export interface TranscriptionCreateParams {
   timestamp_granularities?: 'segment' | 'word' | Array<'segment' | 'word'>;
 }
 
-export namespace TranscriptionCreateParams {
-  export interface Binary {
-    /**
-     * Audio file to transcribe
-     */
-    data: Uploadable;
-
-    type: 'binary';
-  }
-
-  export interface URL {
-    type: 'url';
-
-    /**
-     * Public HTTPS URL to audio file
-     */
-    url: string;
-  }
-}
-
 export declare namespace Transcriptions {
   export {
     type TranscriptionCreateResponse as TranscriptionCreateResponse,

src/resources/fine-tune.ts

@@ -139,6 +139,10 @@ export interface FineTune {
 
   from_checkpoint?: string;
 
+  from_hf_model?: string;
+
+  hf_model_revision?: string;
+
   job_id?: string;
 
   learning_rate?: number;
@@ -346,6 +350,16 @@ export interface FineTuneCreateResponse {
    */
   from_checkpoint?: string;
 
+  /**
+   * Hugging Face Hub repo to start training from
+   */
+  from_hf_model?: string;
+
+  /**
+   * The revision of the Hugging Face Hub model to continue training from
+   */
+  hf_model_revision?: string;
+
   /**
    * Learning rate used for training
    */
@@ -500,6 +514,16 @@ export namespace FineTuneListResponse {
      */
     from_checkpoint?: string;
 
+    /**
+     * Hugging Face Hub repo to start training from
+     */
+    from_hf_model?: string;
+
+    /**
+     * The revision of the Hugging Face Hub model to continue training from
+     */
+    hf_model_revision?: string;
+
     /**
      * Learning rate used for training
      */
@@ -650,6 +674,16 @@ export interface FineTuneCancelResponse {
    */
   from_checkpoint?: string;
 
+  /**
+   * Hugging Face Hub repo to start training from
+   */
+  from_hf_model?: string;
+
+  /**
+   * The revision of the Hugging Face Hub model to continue training from
+   */
+  hf_model_revision?: string;
+
   /**
    * Learning rate used for training
    */
@@ -811,11 +845,25 @@ export interface FineTuneCreateParams {
    */
   from_checkpoint?: string;
 
+  /**
+   * The Hugging Face Hub repo to start training from. Should be as close as possible
+   * to the base model (specified by the `model` argument) in terms of architecture
+   * and size.
+   */
+  from_hf_model?: string;
+
   /**
    * The API token for the Hugging Face Hub.
    */
   hf_api_token?: string;
 
+  /**
+   * The revision of the Hugging Face Hub model to continue training from. E.g.,
+   * hf_model_revision=main (default, used if the argument is not provided) or
+   * hf_model_revision='607a30d783dfa663caf39e06633721c8d4cfcd7e' (specific commit).
+   */
+  hf_model_revision?: string;
+
   /**
    * The name of the Hugging Face repository to upload the fine-tuned model to.
    */

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

@@ -10,7 +10,7 @@ const client = new Together({
 describe('resource transcriptions', () => {
   test('create: only required params', async () => {
     const responsePromise = client.audio.transcriptions.create({
-      file: { data: await toFile(Buffer.from('# my file contents'), 'README.md'), type: 'binary' },
+      file: await toFile(Buffer.from('# my file contents'), 'README.md'),
     });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
@@ -23,7 +23,7 @@ describe('resource transcriptions', () => {
 
   test('create: required and optional params', async () => {
     const response = await client.audio.transcriptions.create({
-      file: { data: await toFile(Buffer.from('# my file contents'), 'README.md'), type: 'binary' },
+      file: await toFile(Buffer.from('# my file contents'), 'README.md'),
       language: 'en',
       model: 'openai/whisper-large-v3',
       prompt: 'prompt',

tests/api-resources/fine-tune.test.ts

@@ -25,7 +25,9 @@ describe('resource fineTune', () => {
       training_file: 'training_file',
       batch_size: 0,
       from_checkpoint: 'from_checkpoint',
+      from_hf_model: 'from_hf_model',
       hf_api_token: 'hf_api_token',
+      hf_model_revision: 'hf_model_revision',
       hf_output_repo_name: 'hf_output_repo_name',
       learning_rate: 0,
       lr_scheduler: { lr_scheduler_type: 'linear', lr_scheduler_args: { min_lr_ratio: 0 } },