feat(api): api update

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 152
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-7c540cce6eb30401259f4831ea9803b6d88501605d13734f98212cbb3b199e10.yml
-openapi_spec_hash: 06e656be22bbb92689954253668b42fc
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-64c6ba619ccbf87e56b4f464230d04401fd78ad924d2606176309d19ca281af5.yml
+openapi_spec_hash: 5e4f2073040a12c26ce58e86a72fe47e
 config_hash: 1a88b104658b6c854117996c080ebe6b

src/openai/resources/responses/responses.py

@@ -1686,6 +1686,7 @@ def compact(
         instructions: Optional[str] | Omit = omit,
         previous_response_id: Optional[str] | Omit = omit,
         prompt_cache_key: Optional[str] | Omit = omit,
+        prompt_cache_retention: Optional[Literal["in_memory", "24h"]] | Omit = omit,
         # 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,
@@ -1723,6 +1724,8 @@ def compact(
 
           prompt_cache_key: A key to use when reading from or writing to the prompt cache.
 
+          prompt_cache_retention: How long to retain a prompt cache entry created by this request.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -1740,6 +1743,7 @@ def compact(
                     "instructions": instructions,
                     "previous_response_id": previous_response_id,
                     "prompt_cache_key": prompt_cache_key,
+                    "prompt_cache_retention": prompt_cache_retention,
                 },
                 response_compact_params.ResponseCompactParams,
             ),
@@ -3367,6 +3371,7 @@ async def compact(
         instructions: Optional[str] | Omit = omit,
         previous_response_id: Optional[str] | Omit = omit,
         prompt_cache_key: Optional[str] | Omit = omit,
+        prompt_cache_retention: Optional[Literal["in_memory", "24h"]] | Omit = omit,
         # 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,
@@ -3404,6 +3409,8 @@ async def compact(
 
           prompt_cache_key: A key to use when reading from or writing to the prompt cache.
 
+          prompt_cache_retention: How long to retain a prompt cache entry created by this request.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -3421,6 +3428,7 @@ async def compact(
                     "instructions": instructions,
                     "previous_response_id": previous_response_id,
                     "prompt_cache_key": prompt_cache_key,
+                    "prompt_cache_retention": prompt_cache_retention,
                 },
                 response_compact_params.ResponseCompactParams,
             ),

src/openai/types/responses/response_compact_params.py

@@ -140,3 +140,6 @@ class ResponseCompactParams(TypedDict, total=False):
 
     prompt_cache_key: Optional[str]
     """A key to use when reading from or writing to the prompt cache."""
+
+    prompt_cache_retention: Optional[Literal["in_memory", "24h"]]
+    """How long to retain a prompt cache entry created by this request."""

tests/api_resources/test_responses.py

@@ -388,6 +388,7 @@ def test_method_compact_with_all_params(self, client: OpenAI) -> None:
             instructions="instructions",
             previous_response_id="resp_123",
             prompt_cache_key="prompt_cache_key",
+            prompt_cache_retention="in_memory",
         )
         assert_matches_type(CompactedResponse, response, path=["response"])
 
@@ -799,6 +800,7 @@ async def test_method_compact_with_all_params(self, async_client: AsyncOpenAI) -
             instructions="instructions",
             previous_response_id="resp_123",
             prompt_cache_key="prompt_cache_key",
+            prompt_cache_retention="in_memory",
         )
         assert_matches_type(CompactedResponse, response, path=["response"])