feat(api): make model required for the responses/compact endpoint

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 136
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-fe8a79e6fd407e6c9afec60971f03076b65f711ccd6ea16457933b0e24fb1f6d.yml
-openapi_spec_hash: 38c0a73f4e08843732c5f8002a809104
-config_hash: 2c350086d87a4b4532077363087840e7
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-88d85ff87ad8983262af2b729762a6e05fd509468bb691529bc2f81e4ce27c69.yml
+openapi_spec_hash: 46a55acbccd0147534017b92c1f4dd99
+config_hash: 141b101c9f13b90e21af74e1686f1f41

MIGRATION.md

@@ -134,7 +134,6 @@ client.example.list(undefined, { headers: { ... } });
 - `client.beta.threads.messages.list()`
 - `client.batches.list()`
 - `client.responses.retrieve()`
-- `client.responses.compact()`
 - `client.responses.inputItems.list()`
 - `client.responses.inputTokens.count()`
 - `client.realtime.calls.reject()`

src/resources/responses/responses.ts

@@ -213,13 +213,12 @@ export class Responses extends APIResource {
    *
    * @example
    * ```ts
-   * const compactedResponse = await client.responses.compact();
+   * const compactedResponse = await client.responses.compact({
+   *   model: 'gpt-5.1',
+   * });
    * ```
    */
-  compact(
-    body: ResponseCompactParams | null | undefined = {},
-    options?: RequestOptions,
-  ): APIPromise<CompactedResponse> {
+  compact(body: ResponseCompactParams, options?: RequestOptions): APIPromise<CompactedResponse> {
     return this._client.post('/responses/compact', { body, ...options });
   }
 }
@@ -6487,27 +6486,14 @@ export interface ResponseRetrieveParamsStreaming extends ResponseRetrieveParamsB
 }
 
 export interface ResponseCompactParams {
-  /**
-   * Text, image, or file inputs to the model, used to generate a response
-   */
-  input?: string | Array<ResponseInputItem> | null;
-
-  /**
-   * A system (or developer) message inserted into the model's context. When used
-   * along with `previous_response_id`, the instructions from a previous response
-   * will not be carried over to the next response. This makes it simple to swap out
-   * system (or developer) messages in new responses.
-   */
-  instructions?: string | null;
-
   /**
    * Model ID used to generate the response, like `gpt-5` or `o3`. OpenAI offers a
    * wide range of models with different capabilities, performance characteristics,
    * and price points. Refer to the
    * [model guide](https://platform.openai.com/docs/models) to browse and compare
    * available models.
    */
-  model?:
+  model:
     | 'gpt-5.1'
     | 'gpt-5.1-2025-11-13'
     | 'gpt-5.1-codex'
@@ -6592,6 +6578,19 @@ export interface ResponseCompactParams {
     | (string & {})
     | null;
 
+  /**
+   * Text, image, or file inputs to the model, used to generate a response
+   */
+  input?: string | Array<ResponseInputItem> | null;
+
+  /**
+   * A system (or developer) message inserted into the model's context. When used
+   * along with `previous_response_id`, the instructions from a previous response
+   * will not be carried over to the next response. This makes it simple to swap out
+   * system (or developer) messages in new responses.
+   */
+  instructions?: string | null;
+
   /**
    * The unique ID of the previous response to the model. Use this to create
    * multi-turn conversations. Learn more about

tests/api-resources/responses/responses.test.ts

@@ -74,8 +74,8 @@ describe('resource responses', () => {
     expect(dataAndResponse.response).toBe(rawResponse);
   });
 
-  test('compact', async () => {
-    const responsePromise = client.responses.compact();
+  test('compact: only required params', async () => {
+    const responsePromise = client.responses.compact({ model: 'gpt-5.1' });
     const rawResponse = await responsePromise.asResponse();
     expect(rawResponse).toBeInstanceOf(Response);
     const response = await responsePromise;
@@ -85,13 +85,12 @@ describe('resource responses', () => {
     expect(dataAndResponse.response).toBe(rawResponse);
   });
 
-  test('compact: 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(
-      client.responses.compact(
-        { input: 'string', instructions: 'instructions', model: 'gpt-5.1', previous_response_id: 'resp_123' },
-        { path: '/_stainless_unknown_path' },
-      ),
-    ).rejects.toThrow(OpenAI.NotFoundError);
+  test('compact: required and optional params', async () => {
+    const response = await client.responses.compact({
+      model: 'gpt-5.1',
+      input: 'string',
+      instructions: 'instructions',
+      previous_response_id: 'resp_123',
+    });
   });
 });