fix(api): Fix evals and code interpreter interfaces

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 111
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-d4bcffecf0cdadf746faa6708ed1ec81fac451f9b857deabbab26f0a343b9314.yml
-openapi_spec_hash: 7c54a18b4381248bda7cc34c52142615
-config_hash: e618aa8ff61aea826540916336de65a6
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-2bcc845d8635bf93ddcf9ee723af4d7928248412a417bee5fc10d863a1e13867.yml
+openapi_spec_hash: 865230cb3abeb01bd85de05891af23c4
+config_hash: ed1e6b3c5f93d12b80d31167f55c557c

api.md

@@ -784,7 +784,7 @@ Methods:
 - <code title="post /responses">client.responses.<a href="./src/openai/resources/responses/responses.py">create</a>(\*\*<a href="src/openai/types/responses/response_create_params.py">params</a>) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
 - <code title="get /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">retrieve</a>(response_id, \*\*<a href="src/openai/types/responses/response_retrieve_params.py">params</a>) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
 - <code title="delete /responses/{response_id}">client.responses.<a href="./src/openai/resources/responses/responses.py">delete</a>(response_id) -> None</code>
-- <code title="post /responses/{response_id}/cancel">client.responses.<a href="./src/openai/resources/responses/responses.py">cancel</a>(response_id) -> None</code>
+- <code title="post /responses/{response_id}/cancel">client.responses.<a href="./src/openai/resources/responses/responses.py">cancel</a>(response_id) -> <a href="./src/openai/types/responses/response.py">Response</a></code>
 
 ## InputItems
 

src/openai/resources/chat/completions/completions.py

@@ -263,9 +263,9 @@ def create(
                 utilize scale tier credits until they are exhausted.
               - If set to 'auto', and the Project is not Scale tier enabled, the request will
                 be processed using the default service tier with a lower uptime SLA and no
-                latency guarentee.
+                latency guarantee.
               - If set to 'default', the request will be processed using the default service
-                tier with a lower uptime SLA and no latency guarentee.
+                tier with a lower uptime SLA and no latency guarantee.
               - If set to 'flex', the request will be processed with the Flex Processing
                 service tier.
                 [Learn more](https://platform.openai.com/docs/guides/flex-processing).
@@ -541,9 +541,9 @@ def create(
                 utilize scale tier credits until they are exhausted.
               - If set to 'auto', and the Project is not Scale tier enabled, the request will
                 be processed using the default service tier with a lower uptime SLA and no
-                latency guarentee.
+                latency guarantee.
               - If set to 'default', the request will be processed using the default service
-                tier with a lower uptime SLA and no latency guarentee.
+                tier with a lower uptime SLA and no latency guarantee.
               - If set to 'flex', the request will be processed with the Flex Processing
                 service tier.
                 [Learn more](https://platform.openai.com/docs/guides/flex-processing).
@@ -810,9 +810,9 @@ def create(
                 utilize scale tier credits until they are exhausted.
               - If set to 'auto', and the Project is not Scale tier enabled, the request will
                 be processed using the default service tier with a lower uptime SLA and no
-                latency guarentee.
+                latency guarantee.
               - If set to 'default', the request will be processed using the default service
-                tier with a lower uptime SLA and no latency guarentee.
+                tier with a lower uptime SLA and no latency guarantee.
               - If set to 'flex', the request will be processed with the Flex Processing
                 service tier.
                 [Learn more](https://platform.openai.com/docs/guides/flex-processing).
@@ -1366,9 +1366,9 @@ async def create(
                 utilize scale tier credits until they are exhausted.
               - If set to 'auto', and the Project is not Scale tier enabled, the request will
                 be processed using the default service tier with a lower uptime SLA and no
-                latency guarentee.
+                latency guarantee.
               - If set to 'default', the request will be processed using the default service
-                tier with a lower uptime SLA and no latency guarentee.
+                tier with a lower uptime SLA and no latency guarantee.
               - If set to 'flex', the request will be processed with the Flex Processing
                 service tier.
                 [Learn more](https://platform.openai.com/docs/guides/flex-processing).
@@ -1644,9 +1644,9 @@ async def create(
                 utilize scale tier credits until they are exhausted.
               - If set to 'auto', and the Project is not Scale tier enabled, the request will
                 be processed using the default service tier with a lower uptime SLA and no
-                latency guarentee.
+                latency guarantee.
               - If set to 'default', the request will be processed using the default service
-                tier with a lower uptime SLA and no latency guarentee.
+                tier with a lower uptime SLA and no latency guarantee.
               - If set to 'flex', the request will be processed with the Flex Processing
                 service tier.
                 [Learn more](https://platform.openai.com/docs/guides/flex-processing).
@@ -1913,9 +1913,9 @@ async def create(
                 utilize scale tier credits until they are exhausted.
               - If set to 'auto', and the Project is not Scale tier enabled, the request will
                 be processed using the default service tier with a lower uptime SLA and no
-                latency guarentee.
+                latency guarantee.
               - If set to 'default', the request will be processed using the default service
-                tier with a lower uptime SLA and no latency guarentee.
+                tier with a lower uptime SLA and no latency guarantee.
               - If set to 'flex', the request will be processed with the Flex Processing
                 service tier.
                 [Learn more](https://platform.openai.com/docs/guides/flex-processing).

src/openai/resources/fine_tuning/alpha/graders.py

@@ -2,8 +2,6 @@
 
 from __future__ import annotations
 
-from typing import Union, Iterable
-
 import httpx
 
 from .... import _legacy_response
@@ -45,7 +43,7 @@ def run(
         *,
         grader: grader_run_params.Grader,
         model_sample: str,
-        reference_answer: Union[str, Iterable[object], float, object],
+        item: object | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -59,9 +57,15 @@ def run(
         Args:
           grader: The grader used for the fine-tuning job.
 
-          model_sample: The model sample to be evaluated.
+          model_sample: The model sample to be evaluated. This value will be used to populate the
+              `sample` namespace. See
+              [the guide](https://platform.openai.com/docs/guides/graders) for more details.
+              The `output_json` variable will be populated if the model sample is a valid JSON
+              string.
 
-          reference_answer: The reference answer for the evaluation.
+          item: The dataset item provided to the grader. This will be used to populate the
+              `item` namespace. See
+              [the guide](https://platform.openai.com/docs/guides/graders) for more details.
 
           extra_headers: Send extra headers
 
@@ -77,7 +81,7 @@ def run(
                 {
                     "grader": grader,
                     "model_sample": model_sample,
-                    "reference_answer": reference_answer,
+                    "item": item,
                 },
                 grader_run_params.GraderRunParams,
             ),
@@ -147,7 +151,7 @@ async def run(
         *,
         grader: grader_run_params.Grader,
         model_sample: str,
-        reference_answer: Union[str, Iterable[object], float, object],
+        item: object | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -161,9 +165,15 @@ async def run(
         Args:
           grader: The grader used for the fine-tuning job.
 
-          model_sample: The model sample to be evaluated.
+          model_sample: The model sample to be evaluated. This value will be used to populate the
+              `sample` namespace. See
+              [the guide](https://platform.openai.com/docs/guides/graders) for more details.
+              The `output_json` variable will be populated if the model sample is a valid JSON
+              string.
 
-          reference_answer: The reference answer for the evaluation.
+          item: The dataset item provided to the grader. This will be used to populate the
+              `item` namespace. See
+              [the guide](https://platform.openai.com/docs/guides/graders) for more details.
 
           extra_headers: Send extra headers
 
@@ -179,7 +189,7 @@ async def run(
                 {
                     "grader": grader,
                     "model_sample": model_sample,
-                    "reference_answer": reference_answer,
+                    "item": item,
                 },
                 grader_run_params.GraderRunParams,
             ),

src/openai/resources/images.py

@@ -144,7 +144,7 @@ def edit(
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than
-              25MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.
@@ -468,7 +468,7 @@ async def edit(
           image: The image(s) to edit. Must be a supported image file or an array of images.
 
               For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than
-              25MB. You can provide up to 16 images.
+              50MB. You can provide up to 16 images.
 
               For `dall-e-2`, you can only provide one image, and it should be a square `png`
               file less than 4MB.