feat(api): api update

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 26
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/supermemory--inc%2Fsupermemory-new-e519a815da9102647222f1f73920926f2d8b63d16995d3687213b604963f5ec5.yml
-openapi_spec_hash: 4de453d3c2fca716f7f645d4c2c8f921
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/supermemory--inc%2Fsupermemory-new-008c99427a2471a387bd071f936b0a1e352b81cea24a7d329719c28c652738df.yml
+openapi_spec_hash: b47b3fdce4626adc8193b4c340e340ed
 config_hash: f3eb5ca71172780678106f6d46f15dda

src/supermemory/resources/search.py

@@ -245,6 +245,7 @@ def memories(
         self,
         *,
         q: str,
+        aggregate: bool | Omit = omit,
         container_tag: str | Omit = omit,
         filters: search_memories_params.Filters | Omit = omit,
         include: search_memories_params.Include | Omit = omit,
@@ -266,6 +267,10 @@ def memories(
         Args:
           q: Search query string
 
+          aggregate: If true, aggregates information from multiple memories to create new synthesized
+              memories. The result will be a mix of aggregated and non-aggregated memories,
+              reranked by relevance to the query. Works in conjunction with reranking.
+
           container_tag: Optional tag this search should be containerized by. This can be an ID for your
               user, a project ID, or any other identifier you wish to use to filter memories.
 
@@ -300,6 +305,7 @@ def memories(
             body=maybe_transform(
                 {
                     "q": q,
+                    "aggregate": aggregate,
                     "container_tag": container_tag,
                     "filters": filters,
                     "include": include,
@@ -538,6 +544,7 @@ async def memories(
         self,
         *,
         q: str,
+        aggregate: bool | Omit = omit,
         container_tag: str | Omit = omit,
         filters: search_memories_params.Filters | Omit = omit,
         include: search_memories_params.Include | Omit = omit,
@@ -559,6 +566,10 @@ async def memories(
         Args:
           q: Search query string
 
+          aggregate: If true, aggregates information from multiple memories to create new synthesized
+              memories. The result will be a mix of aggregated and non-aggregated memories,
+              reranked by relevance to the query. Works in conjunction with reranking.
+
           container_tag: Optional tag this search should be containerized by. This can be an ID for your
               user, a project ID, or any other identifier you wish to use to filter memories.
 
@@ -593,6 +604,7 @@ async def memories(
             body=await async_maybe_transform(
                 {
                     "q": q,
+                    "aggregate": aggregate,
                     "container_tag": container_tag,
                     "filters": filters,
                     "include": include,

src/supermemory/types/search_memories_params.py

@@ -332,6 +332,13 @@ class SearchMemoriesParams(TypedDict, total=False):
     q: Required[str]
     """Search query string"""
 
+    aggregate: bool
+    """
+    If true, aggregates information from multiple memories to create new synthesized
+    memories. The result will be a mix of aggregated and non-aggregated memories,
+    reranked by relevance to the query. Works in conjunction with reranking.
+    """
+
     container_tag: Annotated[str, PropertyInfo(alias="containerTag")]
     """Optional tag this search should be containerized by.
 

src/supermemory/types/search_memories_response.py

@@ -128,6 +128,9 @@ class Result(BaseModel):
     documents: Optional[List[ResultDocument]] = None
     """Associated documents for this memory entry"""
 
+    is_aggregated: Optional[bool] = FieldInfo(alias="isAggregated", default=None)
+    """Indicates if this memory was created by aggregating multiple source memories"""
+
     memory: Optional[str] = None
     """The memory content (only present for memory results)"""
 

tests/api_resources/test_search.py

@@ -164,6 +164,7 @@ def test_method_memories(self, client: Supermemory) -> None:
     def test_method_memories_with_all_params(self, client: Supermemory) -> None:
         search = client.search.memories(
             q="machine learning concepts",
+            aggregate=False,
             container_tag="user_123",
             filters={
                 "or_": [
@@ -367,6 +368,7 @@ async def test_method_memories(self, async_client: AsyncSupermemory) -> None:
     async def test_method_memories_with_all_params(self, async_client: AsyncSupermemory) -> None:
         search = await async_client.search.memories(
             q="machine learning concepts",
+            aggregate=False,
             container_tag="user_123",
             filters={
                 "or_": [