feat(api): api update

stainless-app[bot] · stainless-app[bot] · commit 02e8b0072cb8 · 2025-05-25T05:16:57.000Z
diff --git a/.stats.yml b/.stats.yml
@@ -1,4 +1,4 @@
 configured_endpoints: 12
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/supermemory--inc%2Fsupermemory-51f7b8cdabb689a8e8fa328e5c3b82906a2db418d486ef019bd0b2656e3a38aa.yml
-openapi_spec_hash: cddc9d0c5e419657929408a3de9228db
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/supermemory--inc%2Fsupermemory-51498a77be155823007306ade088caca08102547dec1860625b8c111bf5a19b3.yml
+openapi_spec_hash: 2a18759ac9605976ae0555be3735d711
 config_hash: 8477e3ee6fd596ab6ac911d052e4de79
diff --git a/src/supermemory/resources/search.py b/src/supermemory/resources/search.py
@@ -45,14 +45,7 @@ def execute(
         self,
         *,
         q: str,
-        chunk_threshold: float | NotGiven = NOT_GIVEN,
         doc_id: str | NotGiven = NOT_GIVEN,
-        document_threshold: float | NotGiven = NOT_GIVEN,
-        include_summary: bool | NotGiven = NOT_GIVEN,
-        limit: int | NotGiven = NOT_GIVEN,
-        only_matching_chunks: bool | NotGiven = NOT_GIVEN,
-        rerank: bool | NotGiven = NOT_GIVEN,
-        rewrite_query: bool | NotGiven = NOT_GIVEN,
         user_id: str | 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.
@@ -62,37 +55,14 @@ def execute(
         timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
     ) -> SearchExecuteResponse:
         """
-        Search memories with basic filtering (simple query parameters only)
+        Search memories with basic filtering (Deprecated)
 
         Args:
           q: Search query string
 
-          chunk_threshold: Threshold / sensitivity for chunk selection. 0 is least sensitive (returns most
-              chunks, more results), 1 is most sensitive (returns lesser chunks, accurate
-              results)
-
           doc_id: Optional document ID to search within. You can use this to find chunks in a very
               large document.
 
-          document_threshold: Threshold / sensitivity for document selection. 0 is least sensitive (returns
-              most documents, more results), 1 is most sensitive (returns lesser documents,
-              accurate results)
-
-          include_summary: If true, include document summary in the response. This is helpful if you want a
-              chatbot to know the full context of the document.
-
-          limit: Maximum number of results to return
-
-          only_matching_chunks: If true, only return matching chunks without context. Normally, we send the
-              previous and next chunk to provide more context for LLMs. If you only want the
-              matching chunk, set this to true.
-
-          rerank: If true, rerank the results based on the query. This is helpful if you want to
-              ensure the most relevant results are returned.
-
-          rewrite_query: If true, rewrites the query to make it easier to find documents. This increases
-              the latency by about 400ms
-
           user_id: End user ID this search is associated with. NOTE: This also acts as a filter for
               the search.
 
@@ -114,14 +84,7 @@ def execute(
                 query=maybe_transform(
                     {
                         "q": q,
-                        "chunk_threshold": chunk_threshold,
                         "doc_id": doc_id,
-                        "document_threshold": document_threshold,
-                        "include_summary": include_summary,
-                        "limit": limit,
-                        "only_matching_chunks": only_matching_chunks,
-                        "rerank": rerank,
-                        "rewrite_query": rewrite_query,
                         "user_id": user_id,
                     },
                     search_execute_params.SearchExecuteParams,
@@ -155,14 +118,7 @@ async def execute(
         self,
         *,
         q: str,
-        chunk_threshold: float | NotGiven = NOT_GIVEN,
         doc_id: str | NotGiven = NOT_GIVEN,
-        document_threshold: float | NotGiven = NOT_GIVEN,
-        include_summary: bool | NotGiven = NOT_GIVEN,
-        limit: int | NotGiven = NOT_GIVEN,
-        only_matching_chunks: bool | NotGiven = NOT_GIVEN,
-        rerank: bool | NotGiven = NOT_GIVEN,
-        rewrite_query: bool | NotGiven = NOT_GIVEN,
         user_id: str | 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.
@@ -172,37 +128,14 @@ async def execute(
         timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
     ) -> SearchExecuteResponse:
         """
-        Search memories with basic filtering (simple query parameters only)
+        Search memories with basic filtering (Deprecated)
 
         Args:
           q: Search query string
 
-          chunk_threshold: Threshold / sensitivity for chunk selection. 0 is least sensitive (returns most
-              chunks, more results), 1 is most sensitive (returns lesser chunks, accurate
-              results)
-
           doc_id: Optional document ID to search within. You can use this to find chunks in a very
               large document.
 
-          document_threshold: Threshold / sensitivity for document selection. 0 is least sensitive (returns
-              most documents, more results), 1 is most sensitive (returns lesser documents,
-              accurate results)
-
-          include_summary: If true, include document summary in the response. This is helpful if you want a
-              chatbot to know the full context of the document.
-
-          limit: Maximum number of results to return
-
-          only_matching_chunks: If true, only return matching chunks without context. Normally, we send the
-              previous and next chunk to provide more context for LLMs. If you only want the
-              matching chunk, set this to true.
-
-          rerank: If true, rerank the results based on the query. This is helpful if you want to
-              ensure the most relevant results are returned.
-
-          rewrite_query: If true, rewrites the query to make it easier to find documents. This increases
-              the latency by about 400ms
-
           user_id: End user ID this search is associated with. NOTE: This also acts as a filter for
               the search.
 
@@ -224,14 +157,7 @@ async def execute(
                 query=await async_maybe_transform(
                     {
                         "q": q,
-                        "chunk_threshold": chunk_threshold,
                         "doc_id": doc_id,
-                        "document_threshold": document_threshold,
-                        "include_summary": include_summary,
-                        "limit": limit,
-                        "only_matching_chunks": only_matching_chunks,
-                        "rerank": rerank,
-                        "rewrite_query": rewrite_query,
                         "user_id": user_id,
                     },
                     search_execute_params.SearchExecuteParams,
diff --git a/src/supermemory/types/search_execute_params.py b/src/supermemory/types/search_execute_params.py
@@ -13,54 +13,12 @@ class SearchExecuteParams(TypedDict, total=False):
     q: Required[str]
     """Search query string"""
 
-    chunk_threshold: Annotated[float, PropertyInfo(alias="chunkThreshold")]
-    """Threshold / sensitivity for chunk selection.
-
-    0 is least sensitive (returns most chunks, more results), 1 is most sensitive
-    (returns lesser chunks, accurate results)
-    """
-
     doc_id: Annotated[str, PropertyInfo(alias="docId")]
     """Optional document ID to search within.
 
     You can use this to find chunks in a very large document.
     """
 
-    document_threshold: Annotated[float, PropertyInfo(alias="documentThreshold")]
-    """Threshold / sensitivity for document selection.
-
-    0 is least sensitive (returns most documents, more results), 1 is most sensitive
-    (returns lesser documents, accurate results)
-    """
-
-    include_summary: Annotated[bool, PropertyInfo(alias="includeSummary")]
-    """If true, include document summary in the response.
-
-    This is helpful if you want a chatbot to know the full context of the document.
-    """
-
-    limit: int
-    """Maximum number of results to return"""
-
-    only_matching_chunks: Annotated[bool, PropertyInfo(alias="onlyMatchingChunks")]
-    """If true, only return matching chunks without context.
-
-    Normally, we send the previous and next chunk to provide more context for LLMs.
-    If you only want the matching chunk, set this to true.
-    """
-
-    rerank: bool
-    """If true, rerank the results based on the query.
-
-    This is helpful if you want to ensure the most relevant results are returned.
-    """
-
-    rewrite_query: Annotated[bool, PropertyInfo(alias="rewriteQuery")]
-    """If true, rewrites the query to make it easier to find documents.
-
-    This increases the latency by about 400ms
-    """
-
     user_id: Annotated[str, PropertyInfo(alias="userId")]
     """End user ID this search is associated with.
 
diff --git a/tests/api_resources/test_search.py b/tests/api_resources/test_search.py
@@ -30,14 +30,7 @@ def test_method_execute(self, client: Supermemory) -> None:
     def test_method_execute_with_all_params(self, client: Supermemory) -> None:
         search = client.search.execute(
             q="machine learning concepts",
-            chunk_threshold=0.5,
             doc_id="doc_xyz789",
-            document_threshold=0.5,
-            include_summary=False,
-            limit=10,
-            only_matching_chunks=False,
-            rerank=False,
-            rewrite_query=False,
             user_id="user_123",
         )
         assert_matches_type(SearchExecuteResponse, search, path=["response"])
@@ -85,14 +78,7 @@ async def test_method_execute(self, async_client: AsyncSupermemory) -> None:
     async def test_method_execute_with_all_params(self, async_client: AsyncSupermemory) -> None:
         search = await async_client.search.execute(
             q="machine learning concepts",
-            chunk_threshold=0.5,
             doc_id="doc_xyz789",
-            document_threshold=0.5,
-            include_summary=False,
-            limit=10,
-            only_matching_chunks=False,
-            rerank=False,
-            rewrite_query=False,
             user_id="user_123",
         )
         assert_matches_type(SearchExecuteResponse, search, path=["response"])
