diff --git a/agents-api/agents_api/autogen/Docs.py b/agents-api/agents_api/autogen/Docs.py
index b9da3646d..36d0c5a95 100644
--- a/agents-api/agents_api/autogen/Docs.py
+++ b/agents-api/agents_api/autogen/Docs.py
@@ -13,18 +13,7 @@ class BaseDocSearchRequest(BaseModel):
     model_config = ConfigDict(
         populate_by_name=True,
     )
-    confidence: Annotated[float, Field(0.5, ge=0.0, le=1.0)]
-    """
-    The confidence cutoff level
-    """
-    alpha: Annotated[float, Field(0.75, ge=0.0, le=1.0)]
-    """
-    The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;
-    """
-    mmr: bool = False
-    """
-    Whether to include the MMR algorithm in the search. Optimizes for diversity in search results.
-    """
+    limit: Annotated[int, Field(10, ge=1, le=100)]
     lang: Literal["en-US"] = "en-US"
     """
     The language to be used for text-only search. Support for other languages coming soon.
@@ -105,6 +94,20 @@ class DocReference(BaseModel):
     distance: float | None = None
 
 
+class DocSearchResponse(BaseModel):
+    model_config = ConfigDict(
+        populate_by_name=True,
+    )
+    docs: list[DocReference]
+    """
+    The documents that were found
+    """
+    time: Annotated[float, Field(gt=0.0)]
+    """
+    The time taken to search in seconds
+    """
+
+
 class EmbedQueryRequest(BaseModel):
     model_config = ConfigDict(
         populate_by_name=True,
@@ -129,6 +132,14 @@ class HybridDocSearchRequest(BaseDocSearchRequest):
     model_config = ConfigDict(
         populate_by_name=True,
     )
+    confidence: Annotated[float, Field(0.5, ge=0.0, le=1.0)]
+    """
+    The confidence cutoff level
+    """
+    alpha: Annotated[float, Field(0.75, ge=0.0, le=1.0)]
+    """
+    The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;
+    """
     text: str
     """
     Text to use in the search. In `hybrid` search mode, either `text` or both `text` and `vector` fields are required.
@@ -161,6 +172,10 @@ class VectorDocSearchRequest(BaseDocSearchRequest):
     model_config = ConfigDict(
         populate_by_name=True,
     )
+    confidence: Annotated[float, Field(0.5, ge=0.0, le=1.0)]
+    """
+    The confidence cutoff level
+    """
     vector: list[float]
     """
     Vector to use in the search. Must be the same dimensions as the embedding model or else an error will be thrown.
diff --git a/agents-api/agents_api/models/docs/search_docs_hybrid.py b/agents-api/agents_api/models/docs/search_docs_hybrid.py
index b9d6a1ec0..82f550ac9 100644
--- a/agents-api/agents_api/models/docs/search_docs_hybrid.py
+++ b/agents-api/agents_api/models/docs/search_docs_hybrid.py
@@ -97,6 +97,7 @@ def search_docs_hybrid(
     query: str,
     query_embedding: list[float],
     k: int = 3,
+    alpha: float = 0.7,  # Weight of the embedding search results (this is a good default)
     embed_search_options: dict = {},
     text_search_options: dict = {},
     **kwargs,
@@ -122,4 +123,4 @@ def search_docs_hybrid(
         **kwargs,
     )
 
-    return dbsf_fuse(text_results, embedding_results)[:k]
+    return dbsf_fuse(text_results, embedding_results, alpha)[:k]
diff --git a/agents-api/agents_api/routers/docs/__init__.py b/agents-api/agents_api/routers/docs/__init__.py
index 062db6a67..2db2d042a 100644
--- a/agents-api/agents_api/routers/docs/__init__.py
+++ b/agents-api/agents_api/routers/docs/__init__.py
@@ -4,3 +4,4 @@
 from .get_doc import get_doc
 from .list_docs import list_agent_docs, list_user_docs
 from .router import router
+from .search_docs import search_agent_docs, search_user_docs
diff --git a/agents-api/agents_api/routers/docs/search_docs.py b/agents-api/agents_api/routers/docs/search_docs.py
new file mode 100644
index 000000000..8de06dd17
--- /dev/null
+++ b/agents-api/agents_api/routers/docs/search_docs.py
@@ -0,0 +1,111 @@
+import time
+from typing import Annotated
+
+from fastapi import Depends
+from pydantic import UUID4
+
+from ...autogen.openapi_model import (
+    DocSearchResponse,
+    HybridDocSearchRequest,
+    TextOnlyDocSearchRequest,
+    VectorDocSearchRequest,
+)
+from ...dependencies.developer_id import get_developer_id
+from ...models.docs.search_docs_by_embedding import search_docs_by_embedding
+from ...models.docs.search_docs_by_text import search_docs_by_text
+from ...models.docs.search_docs_hybrid import search_docs_hybrid
+from .router import router
+
+
+def get_search_fn_and_params(search_params):
+    search_fn, params = None, None
+
+    match search_params:
+        case TextOnlyDocSearchRequest(text=query, limit=k):
+            search_fn = search_docs_by_text
+            params = dict(
+                query=query,
+                k=k,
+            )
+
+        case VectorDocSearchRequest(
+            vector=query_embedding, limit=k, confidence=confidence
+        ):
+            search_fn = search_docs_by_embedding
+            params = dict(
+                query_embedding=query_embedding,
+                k=k,
+                confidence=confidence,
+            )
+
+        case HybridDocSearchRequest(
+            text=query,
+            vector=query_embedding,
+            limit=k,
+            confidence=confidence,
+            alpha=alpha,
+        ):
+            search_fn = search_docs_hybrid
+            params = dict(
+                query=query,
+                query_embedding=query_embedding,
+                k=k,
+                embed_search_options=dict(confidence=confidence),
+                alpha=alpha,
+            )
+
+    return search_fn, params
+
+
+@router.post("/users/{user_id}/search", tags=["docs"])
+async def search_user_docs(
+    x_developer_id: Annotated[UUID4, Depends(get_developer_id)],
+    search_params: (
+        TextOnlyDocSearchRequest | VectorDocSearchRequest | HybridDocSearchRequest
+    ),
+    user_id: UUID4,
+) -> DocSearchResponse:
+    search_fn, params = get_search_fn_and_params(search_params)
+
+    start = time.time()
+    docs = search_fn(
+        developer_id=x_developer_id,
+        owner_type="user",
+        owner_id=user_id,
+        **params,
+    )
+    end = time.time()
+
+    time_taken = end - start
+
+    return DocSearchResponse(
+        docs=docs,
+        time=time_taken,
+    )
+
+
+@router.post("/agents/{agent_id}/search", tags=["docs"])
+async def search_agent_docs(
+    x_developer_id: Annotated[UUID4, Depends(get_developer_id)],
+    search_params: (
+        TextOnlyDocSearchRequest | VectorDocSearchRequest | HybridDocSearchRequest
+    ),
+    agent_id: UUID4,
+) -> DocSearchResponse:
+    search_fn, params = get_search_fn_and_params(search_params)
+
+    start = time.time()
+    docs = search_fn(
+        developer_id=x_developer_id,
+        owner_type="agent",
+        owner_id=agent_id,
+        **params,
+    )
+    end = time.time()
+
+    time_taken = end - start
+
+    return DocSearchResponse(
+        docs=docs,
+        time=time_taken,
+    )
diff --git a/sdks/python/julep/api/__init__.py b/sdks/python/julep/api/__init__.py
index fbcacb597..30f156d29 100644
--- a/sdks/python/julep/api/__init__.py
+++ b/sdks/python/julep/api/__init__.py
@@ -14,9 +14,6 @@
     AgentsCreateAgentRequestDefaultSettings,
     AgentsCreateAgentRequestInstructions,
     AgentsDocsSearchRouteSearchRequestBody,
-    AgentsDocsSearchRouteSearchRequestDirection,
-    AgentsDocsSearchRouteSearchRequestSortBy,
-    AgentsDocsSearchRouteSearchResponse,
     AgentsPatchAgentRequestDefaultSettings,
     AgentsPatchAgentRequestInstructions,
     AgentsRouteListRequestDirection,
@@ -70,6 +67,7 @@
     DocsDocOwner,
     DocsDocOwnerRole,
     DocsDocReference,
+    DocsDocSearchResponse,
     DocsEmbedQueryRequest,
     DocsEmbedQueryRequestText,
     DocsEmbedQueryResponse,
@@ -210,9 +208,6 @@
     UserDocsRouteListRequestSortBy,
     UserDocsRouteListResponse,
     UserDocsSearchRouteSearchRequestBody,
-    UserDocsSearchRouteSearchRequestDirection,
-    UserDocsSearchRouteSearchRequestSortBy,
-    UserDocsSearchRouteSearchResponse,
     UsersRouteListRequestDirection,
     UsersRouteListRequestSortBy,
     UsersRouteListResponse,
@@ -235,9 +230,6 @@
     "AgentsCreateAgentRequestDefaultSettings",
     "AgentsCreateAgentRequestInstructions",
     "AgentsDocsSearchRouteSearchRequestBody",
-    "AgentsDocsSearchRouteSearchRequestDirection",
-    "AgentsDocsSearchRouteSearchRequestSortBy",
-    "AgentsDocsSearchRouteSearchResponse",
     "AgentsPatchAgentRequestDefaultSettings",
     "AgentsPatchAgentRequestInstructions",
     "AgentsRouteListRequestDirection",
@@ -291,6 +283,7 @@
     "DocsDocOwner",
     "DocsDocOwnerRole",
     "DocsDocReference",
+    "DocsDocSearchResponse",
     "DocsEmbedQueryRequest",
     "DocsEmbedQueryRequestText",
     "DocsEmbedQueryResponse",
@@ -432,9 +425,6 @@
     "UserDocsRouteListRequestSortBy",
     "UserDocsRouteListResponse",
     "UserDocsSearchRouteSearchRequestBody",
-    "UserDocsSearchRouteSearchRequestDirection",
-    "UserDocsSearchRouteSearchRequestSortBy",
-    "UserDocsSearchRouteSearchResponse",
     "UsersRouteListRequestDirection",
     "UsersRouteListRequestSortBy",
     "UsersRouteListResponse",
diff --git a/sdks/python/julep/api/client.py b/sdks/python/julep/api/client.py
index f8eb4cae5..207aa7c32 100644
--- a/sdks/python/julep/api/client.py
+++ b/sdks/python/julep/api/client.py
@@ -33,15 +33,6 @@
 from .types.agents_docs_search_route_search_request_body import (
     AgentsDocsSearchRouteSearchRequestBody,
 )
-from .types.agents_docs_search_route_search_request_direction import (
-    AgentsDocsSearchRouteSearchRequestDirection,
-)
-from .types.agents_docs_search_route_search_request_sort_by import (
-    AgentsDocsSearchRouteSearchRequestSortBy,
-)
-from .types.agents_docs_search_route_search_response import (
-    AgentsDocsSearchRouteSearchResponse,
-)
 from .types.agents_patch_agent_request_default_settings import (
     AgentsPatchAgentRequestDefaultSettings,
 )
@@ -69,6 +60,7 @@
 from .types.common_valid_python_identifier import CommonValidPythonIdentifier
 from .types.docs_create_doc_request_content import DocsCreateDocRequestContent
 from .types.docs_doc import DocsDoc
+from .types.docs_doc_search_response import DocsDocSearchResponse
 from .types.docs_embed_query_request import DocsEmbedQueryRequest
 from .types.docs_embed_query_response import DocsEmbedQueryResponse
 from .types.entries_history import EntriesHistory
@@ -116,15 +108,6 @@
 from .types.user_docs_search_route_search_request_body import (
     UserDocsSearchRouteSearchRequestBody,
 )
-from .types.user_docs_search_route_search_request_direction import (
-    UserDocsSearchRouteSearchRequestDirection,
-)
-from .types.user_docs_search_route_search_request_sort_by import (
-    UserDocsSearchRouteSearchRequestSortBy,
-)
-from .types.user_docs_search_route_search_response import (
-    UserDocsSearchRouteSearchResponse,
-)
 from .types.users_route_list_request_direction import UsersRouteListRequestDirection
 from .types.users_route_list_request_sort_by import UsersRouteListRequestSortBy
 from .types.users_route_list_response import UsersRouteListResponse
@@ -842,14 +825,9 @@ def agents_docs_search_route_search(
         self,
         id: CommonUuid,
         *,
-        limit: CommonLimit,
-        offset: CommonOffset,
-        sort_by: AgentsDocsSearchRouteSearchRequestSortBy,
-        direction: AgentsDocsSearchRouteSearchRequestDirection,
-        metadata_filter: str,
         body: AgentsDocsSearchRouteSearchRequestBody,
         request_options: typing.Optional[RequestOptions] = None,
-    ) -> AgentsDocsSearchRouteSearchResponse:
+    ) -> DocsDocSearchResponse:
         """
         Search Docs owned by an Agent
 
@@ -858,21 +836,6 @@ def agents_docs_search_route_search(
         id : CommonUuid
             ID of the parent
 
-        limit : CommonLimit
-            Limit the number of items returned
-
-        offset : CommonOffset
-            Offset the items returned
-
-        sort_by : AgentsDocsSearchRouteSearchRequestSortBy
-            Sort by a field
-
-        direction : AgentsDocsSearchRouteSearchRequestDirection
-            Sort direction
-
-        metadata_filter : str
-            JSON string of object that should be used to filter objects by metadata
-
         body : AgentsDocsSearchRouteSearchRequestBody
 
         request_options : typing.Optional[RequestOptions]
@@ -880,7 +843,7 @@ def agents_docs_search_route_search(
 
         Returns
         -------
-        AgentsDocsSearchRouteSearchResponse
+        DocsDocSearchResponse
             The request has succeeded.
 
         Examples
@@ -894,15 +857,9 @@ def agents_docs_search_route_search(
         )
         client.agents_docs_search_route_search(
             id="id",
-            limit=1,
-            offset=1,
-            sort_by="created_at",
-            direction="asc",
-            metadata_filter="metadata_filter",
             body=DocsVectorDocSearchRequest(
+                limit=1,
                 confidence=1.1,
-                alpha=1.1,
-                mmr=True,
                 vector=[1.1],
             ),
         )
@@ -910,20 +867,13 @@ def agents_docs_search_route_search(
         _response = self._client_wrapper.httpx_client.request(
             f"agents/{jsonable_encoder(id)}/search",
             method="POST",
-            params={
-                "limit": limit,
-                "offset": offset,
-                "sort_by": sort_by,
-                "direction": direction,
-                "metadata_filter": metadata_filter,
-            },
             json={"body": body},
             request_options=request_options,
             omit=OMIT,
         )
         try:
             if 200 <= _response.status_code < 300:
-                return pydantic_v1.parse_obj_as(AgentsDocsSearchRouteSearchResponse, _response.json())  # type: ignore
+                return pydantic_v1.parse_obj_as(DocsDocSearchResponse, _response.json())  # type: ignore
             _response_json = _response.json()
         except JSONDecodeError:
             raise ApiError(status_code=_response.status_code, body=_response.text)
@@ -3552,14 +3502,9 @@ def user_docs_search_route_search(
         self,
         id: CommonUuid,
         *,
-        limit: CommonLimit,
-        offset: CommonOffset,
-        sort_by: UserDocsSearchRouteSearchRequestSortBy,
-        direction: UserDocsSearchRouteSearchRequestDirection,
-        metadata_filter: str,
         body: UserDocsSearchRouteSearchRequestBody,
         request_options: typing.Optional[RequestOptions] = None,
-    ) -> UserDocsSearchRouteSearchResponse:
+    ) -> DocsDocSearchResponse:
         """
         Search Docs owned by a User
 
@@ -3568,21 +3513,6 @@ def user_docs_search_route_search(
         id : CommonUuid
             ID of the parent
 
-        limit : CommonLimit
-            Limit the number of items returned
-
-        offset : CommonOffset
-            Offset the items returned
-
-        sort_by : UserDocsSearchRouteSearchRequestSortBy
-            Sort by a field
-
-        direction : UserDocsSearchRouteSearchRequestDirection
-            Sort direction
-
-        metadata_filter : str
-            JSON string of object that should be used to filter objects by metadata
-
         body : UserDocsSearchRouteSearchRequestBody
 
         request_options : typing.Optional[RequestOptions]
@@ -3590,7 +3520,7 @@ def user_docs_search_route_search(
 
         Returns
         -------
-        UserDocsSearchRouteSearchResponse
+        DocsDocSearchResponse
             The request has succeeded.
 
         Examples
@@ -3604,15 +3534,9 @@ def user_docs_search_route_search(
         )
         client.user_docs_search_route_search(
             id="id",
-            limit=1,
-            offset=1,
-            sort_by="created_at",
-            direction="asc",
-            metadata_filter="metadata_filter",
             body=DocsVectorDocSearchRequest(
+                limit=1,
                 confidence=1.1,
-                alpha=1.1,
-                mmr=True,
                 vector=[1.1],
             ),
         )
@@ -3620,20 +3544,13 @@ def user_docs_search_route_search(
         _response = self._client_wrapper.httpx_client.request(
             f"users/{jsonable_encoder(id)}/search",
             method="POST",
-            params={
-                "limit": limit,
-                "offset": offset,
-                "sort_by": sort_by,
-                "direction": direction,
-                "metadata_filter": metadata_filter,
-            },
             json={"body": body},
             request_options=request_options,
             omit=OMIT,
         )
         try:
             if 200 <= _response.status_code < 300:
-                return pydantic_v1.parse_obj_as(UserDocsSearchRouteSearchResponse, _response.json())  # type: ignore
+                return pydantic_v1.parse_obj_as(DocsDocSearchResponse, _response.json())  # type: ignore
             _response_json = _response.json()
         except JSONDecodeError:
             raise ApiError(status_code=_response.status_code, body=_response.text)
@@ -4420,14 +4337,9 @@ async def agents_docs_search_route_search(
         self,
         id: CommonUuid,
         *,
-        limit: CommonLimit,
-        offset: CommonOffset,
-        sort_by: AgentsDocsSearchRouteSearchRequestSortBy,
-        direction: AgentsDocsSearchRouteSearchRequestDirection,
-        metadata_filter: str,
         body: AgentsDocsSearchRouteSearchRequestBody,
         request_options: typing.Optional[RequestOptions] = None,
-    ) -> AgentsDocsSearchRouteSearchResponse:
+    ) -> DocsDocSearchResponse:
         """
         Search Docs owned by an Agent
 
@@ -4436,21 +4348,6 @@ async def agents_docs_search_route_search(
         id : CommonUuid
             ID of the parent
 
-        limit : CommonLimit
-            Limit the number of items returned
-
-        offset : CommonOffset
-            Offset the items returned
-
-        sort_by : AgentsDocsSearchRouteSearchRequestSortBy
-            Sort by a field
-
-        direction : AgentsDocsSearchRouteSearchRequestDirection
-            Sort direction
-
-        metadata_filter : str
-            JSON string of object that should be used to filter objects by metadata
-
         body : AgentsDocsSearchRouteSearchRequestBody
 
         request_options : typing.Optional[RequestOptions]
@@ -4458,7 +4355,7 @@ async def agents_docs_search_route_search(
 
         Returns
         -------
-        AgentsDocsSearchRouteSearchResponse
+        DocsDocSearchResponse
             The request has succeeded.
 
         Examples
@@ -4477,15 +4374,9 @@ async def agents_docs_search_route_search(
         async def main() -> None:
             await client.agents_docs_search_route_search(
                 id="id",
-                limit=1,
-                offset=1,
-                sort_by="created_at",
-                direction="asc",
-                metadata_filter="metadata_filter",
                 body=DocsVectorDocSearchRequest(
+                    limit=1,
                     confidence=1.1,
-                    alpha=1.1,
-                    mmr=True,
                     vector=[1.1],
                 ),
             )
@@ -4496,20 +4387,13 @@ async def main() -> None:
         _response = await self._client_wrapper.httpx_client.request(
             f"agents/{jsonable_encoder(id)}/search",
             method="POST",
-            params={
-                "limit": limit,
-                "offset": offset,
-                "sort_by": sort_by,
-                "direction": direction,
-                "metadata_filter": metadata_filter,
-            },
             json={"body": body},
             request_options=request_options,
             omit=OMIT,
         )
         try:
             if 200 <= _response.status_code < 300:
-                return pydantic_v1.parse_obj_as(AgentsDocsSearchRouteSearchResponse, _response.json())  # type: ignore
+                return pydantic_v1.parse_obj_as(DocsDocSearchResponse, _response.json())  # type: ignore
             _response_json = _response.json()
         except JSONDecodeError:
             raise ApiError(status_code=_response.status_code, body=_response.text)
@@ -7458,14 +7342,9 @@ async def user_docs_search_route_search(
         self,
         id: CommonUuid,
         *,
-        limit: CommonLimit,
-        offset: CommonOffset,
-        sort_by: UserDocsSearchRouteSearchRequestSortBy,
-        direction: UserDocsSearchRouteSearchRequestDirection,
-        metadata_filter: str,
         body: UserDocsSearchRouteSearchRequestBody,
         request_options: typing.Optional[RequestOptions] = None,
-    ) -> UserDocsSearchRouteSearchResponse:
+    ) -> DocsDocSearchResponse:
         """
         Search Docs owned by a User
 
@@ -7474,21 +7353,6 @@ async def user_docs_search_route_search(
         id : CommonUuid
             ID of the parent
 
-        limit : CommonLimit
-            Limit the number of items returned
-
-        offset : CommonOffset
-            Offset the items returned
-
-        sort_by : UserDocsSearchRouteSearchRequestSortBy
-            Sort by a field
-
-        direction : UserDocsSearchRouteSearchRequestDirection
-            Sort direction
-
-        metadata_filter : str
-            JSON string of object that should be used to filter objects by metadata
-
         body : UserDocsSearchRouteSearchRequestBody
 
         request_options : typing.Optional[RequestOptions]
@@ -7496,7 +7360,7 @@ async def user_docs_search_route_search(
 
         Returns
         -------
-        UserDocsSearchRouteSearchResponse
+        DocsDocSearchResponse
             The request has succeeded.
 
         Examples
@@ -7515,15 +7379,9 @@ async def user_docs_search_route_search(
         async def main() -> None:
             await client.user_docs_search_route_search(
                 id="id",
-                limit=1,
-                offset=1,
-                sort_by="created_at",
-                direction="asc",
-                metadata_filter="metadata_filter",
                 body=DocsVectorDocSearchRequest(
+                    limit=1,
                     confidence=1.1,
-                    alpha=1.1,
-                    mmr=True,
                     vector=[1.1],
                 ),
             )
@@ -7534,20 +7392,13 @@ async def main() -> None:
         _response = await self._client_wrapper.httpx_client.request(
             f"users/{jsonable_encoder(id)}/search",
             method="POST",
-            params={
-                "limit": limit,
-                "offset": offset,
-                "sort_by": sort_by,
-                "direction": direction,
-                "metadata_filter": metadata_filter,
-            },
             json={"body": body},
             request_options=request_options,
             omit=OMIT,
         )
         try:
             if 200 <= _response.status_code < 300:
-                return pydantic_v1.parse_obj_as(UserDocsSearchRouteSearchResponse, _response.json())  # type: ignore
+                return pydantic_v1.parse_obj_as(DocsDocSearchResponse, _response.json())  # type: ignore
             _response_json = _response.json()
         except JSONDecodeError:
             raise ApiError(status_code=_response.status_code, body=_response.text)
diff --git a/sdks/python/julep/api/reference.md b/sdks/python/julep/api/reference.md
index 77af661e3..c7b27f1a6 100644
--- a/sdks/python/julep/api/reference.md
+++ b/sdks/python/julep/api/reference.md
@@ -976,15 +976,9 @@ client = JulepApi(
 )
 client.agents_docs_search_route_search(
     id="id",
-    limit=1,
-    offset=1,
-    sort_by="created_at",
-    direction="asc",
-    metadata_filter="metadata_filter",
     body=DocsVectorDocSearchRequest(
+        limit=1,
         confidence=1.1,
-        alpha=1.1,
-        mmr=True,
         vector=[1.1],
     ),
 )
@@ -1011,46 +1005,6 @@ client.agents_docs_search_route_search(
 <dl>
 <dd>
 
-**limit:** `CommonLimit` — Limit the number of items returned
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**offset:** `CommonOffset` — Offset the items returned
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**sort_by:** `AgentsDocsSearchRouteSearchRequestSortBy` — Sort by a field
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**direction:** `AgentsDocsSearchRouteSearchRequestDirection` — Sort direction
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**metadata_filter:** `str` — JSON string of object that should be used to filter objects by metadata
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **body:** `AgentsDocsSearchRouteSearchRequestBody` 
     
 </dd>
@@ -5098,15 +5052,9 @@ client = JulepApi(
 )
 client.user_docs_search_route_search(
     id="id",
-    limit=1,
-    offset=1,
-    sort_by="created_at",
-    direction="asc",
-    metadata_filter="metadata_filter",
     body=DocsVectorDocSearchRequest(
+        limit=1,
         confidence=1.1,
-        alpha=1.1,
-        mmr=True,
         vector=[1.1],
     ),
 )
@@ -5133,46 +5081,6 @@ client.user_docs_search_route_search(
 <dl>
 <dd>
 
-**limit:** `CommonLimit` — Limit the number of items returned
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**offset:** `CommonOffset` — Offset the items returned
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**sort_by:** `UserDocsSearchRouteSearchRequestSortBy` — Sort by a field
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**direction:** `UserDocsSearchRouteSearchRequestDirection` — Sort direction
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**metadata_filter:** `str` — JSON string of object that should be used to filter objects by metadata
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **body:** `UserDocsSearchRouteSearchRequestBody` 
     
 </dd>
diff --git a/sdks/python/julep/api/types/__init__.py b/sdks/python/julep/api/types/__init__.py
index 6da79d6ab..a2ab207d0 100644
--- a/sdks/python/julep/api/types/__init__.py
+++ b/sdks/python/julep/api/types/__init__.py
@@ -21,15 +21,6 @@
 from .agents_docs_search_route_search_request_body import (
     AgentsDocsSearchRouteSearchRequestBody,
 )
-from .agents_docs_search_route_search_request_direction import (
-    AgentsDocsSearchRouteSearchRequestDirection,
-)
-from .agents_docs_search_route_search_request_sort_by import (
-    AgentsDocsSearchRouteSearchRequestSortBy,
-)
-from .agents_docs_search_route_search_response import (
-    AgentsDocsSearchRouteSearchResponse,
-)
 from .agents_patch_agent_request_default_settings import (
     AgentsPatchAgentRequestDefaultSettings,
 )
@@ -97,6 +88,7 @@
 from .docs_doc_owner import DocsDocOwner
 from .docs_doc_owner_role import DocsDocOwnerRole
 from .docs_doc_reference import DocsDocReference
+from .docs_doc_search_response import DocsDocSearchResponse
 from .docs_embed_query_request import DocsEmbedQueryRequest
 from .docs_embed_query_request_text import DocsEmbedQueryRequestText
 from .docs_embed_query_response import DocsEmbedQueryResponse
@@ -274,13 +266,6 @@
 from .user_docs_search_route_search_request_body import (
     UserDocsSearchRouteSearchRequestBody,
 )
-from .user_docs_search_route_search_request_direction import (
-    UserDocsSearchRouteSearchRequestDirection,
-)
-from .user_docs_search_route_search_request_sort_by import (
-    UserDocsSearchRouteSearchRequestSortBy,
-)
-from .user_docs_search_route_search_response import UserDocsSearchRouteSearchResponse
 from .users_route_list_request_direction import UsersRouteListRequestDirection
 from .users_route_list_request_sort_by import UsersRouteListRequestSortBy
 from .users_route_list_response import UsersRouteListResponse
@@ -301,9 +286,6 @@
     "AgentsCreateAgentRequestDefaultSettings",
     "AgentsCreateAgentRequestInstructions",
     "AgentsDocsSearchRouteSearchRequestBody",
-    "AgentsDocsSearchRouteSearchRequestDirection",
-    "AgentsDocsSearchRouteSearchRequestSortBy",
-    "AgentsDocsSearchRouteSearchResponse",
     "AgentsPatchAgentRequestDefaultSettings",
     "AgentsPatchAgentRequestInstructions",
     "AgentsRouteListRequestDirection",
@@ -357,6 +339,7 @@
     "DocsDocOwner",
     "DocsDocOwnerRole",
     "DocsDocReference",
+    "DocsDocSearchResponse",
     "DocsEmbedQueryRequest",
     "DocsEmbedQueryRequestText",
     "DocsEmbedQueryResponse",
@@ -497,9 +480,6 @@
     "UserDocsRouteListRequestSortBy",
     "UserDocsRouteListResponse",
     "UserDocsSearchRouteSearchRequestBody",
-    "UserDocsSearchRouteSearchRequestDirection",
-    "UserDocsSearchRouteSearchRequestSortBy",
-    "UserDocsSearchRouteSearchResponse",
     "UsersRouteListRequestDirection",
     "UsersRouteListRequestSortBy",
     "UsersRouteListResponse",
diff --git a/sdks/python/julep/api/types/agents_docs_search_route_search_request_direction.py b/sdks/python/julep/api/types/agents_docs_search_route_search_request_direction.py
deleted file mode 100644
index 07c53fe78..000000000
--- a/sdks/python/julep/api/types/agents_docs_search_route_search_request_direction.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# This file was auto-generated by Fern from our API Definition.
-
-import typing
-
-AgentsDocsSearchRouteSearchRequestDirection = typing.Union[
-    typing.Literal["asc", "desc"], typing.Any
-]
diff --git a/sdks/python/julep/api/types/agents_docs_search_route_search_request_sort_by.py b/sdks/python/julep/api/types/agents_docs_search_route_search_request_sort_by.py
deleted file mode 100644
index a85bdee6c..000000000
--- a/sdks/python/julep/api/types/agents_docs_search_route_search_request_sort_by.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# This file was auto-generated by Fern from our API Definition.
-
-import typing
-
-AgentsDocsSearchRouteSearchRequestSortBy = typing.Union[
-    typing.Literal["created_at", "updated_at"], typing.Any
-]
diff --git a/sdks/python/julep/api/types/agents_docs_search_route_search_response.py b/sdks/python/julep/api/types/agents_docs_search_route_search_response.py
deleted file mode 100644
index 400d1a51d..000000000
--- a/sdks/python/julep/api/types/agents_docs_search_route_search_response.py
+++ /dev/null
@@ -1,43 +0,0 @@
-# This file was auto-generated by Fern from our API Definition.
-
-import datetime as dt
-import typing
-
-from ..core.datetime_utils import serialize_datetime
-from ..core.pydantic_utilities import deep_union_pydantic_dicts, pydantic_v1
-from .docs_doc_reference import DocsDocReference
-
-
-class AgentsDocsSearchRouteSearchResponse(pydantic_v1.BaseModel):
-    results: typing.List[DocsDocReference]
-
-    def json(self, **kwargs: typing.Any) -> str:
-        kwargs_with_defaults: typing.Any = {
-            "by_alias": True,
-            "exclude_unset": True,
-            **kwargs,
-        }
-        return super().json(**kwargs_with_defaults)
-
-    def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
-        kwargs_with_defaults_exclude_unset: typing.Any = {
-            "by_alias": True,
-            "exclude_unset": True,
-            **kwargs,
-        }
-        kwargs_with_defaults_exclude_none: typing.Any = {
-            "by_alias": True,
-            "exclude_none": True,
-            **kwargs,
-        }
-
-        return deep_union_pydantic_dicts(
-            super().dict(**kwargs_with_defaults_exclude_unset),
-            super().dict(**kwargs_with_defaults_exclude_none),
-        )
-
-    class Config:
-        frozen = True
-        smart_union = True
-        extra = pydantic_v1.Extra.allow
-        json_encoders = {dt.datetime: serialize_datetime}
diff --git a/sdks/python/julep/api/types/docs_base_doc_search_request.py b/sdks/python/julep/api/types/docs_base_doc_search_request.py
index f7c1ecfa2..1b9646593 100644
--- a/sdks/python/julep/api/types/docs_base_doc_search_request.py
+++ b/sdks/python/julep/api/types/docs_base_doc_search_request.py
@@ -8,21 +8,7 @@
 
 
 class DocsBaseDocSearchRequest(pydantic_v1.BaseModel):
-    confidence: float = pydantic_v1.Field()
-    """
-    The confidence cutoff level
-    """
-
-    alpha: float = pydantic_v1.Field()
-    """
-    The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;
-    """
-
-    mmr: bool = pydantic_v1.Field()
-    """
-    Whether to include the MMR algorithm in the search. Optimizes for diversity in search results.
-    """
-
+    limit: int
     lang: typing.Literal["en-US"] = pydantic_v1.Field(default="en-US")
     """
     The language to be used for text-only search. Support for other languages coming soon.
diff --git a/sdks/python/julep/api/types/user_docs_search_route_search_response.py b/sdks/python/julep/api/types/docs_doc_search_response.py
similarity index 82%
rename from sdks/python/julep/api/types/user_docs_search_route_search_response.py
rename to sdks/python/julep/api/types/docs_doc_search_response.py
index 9206fc909..59d26bdb9 100644
--- a/sdks/python/julep/api/types/user_docs_search_route_search_response.py
+++ b/sdks/python/julep/api/types/docs_doc_search_response.py
@@ -8,8 +8,16 @@
 from .docs_doc_reference import DocsDocReference
 
 
-class UserDocsSearchRouteSearchResponse(pydantic_v1.BaseModel):
-    results: typing.List[DocsDocReference]
+class DocsDocSearchResponse(pydantic_v1.BaseModel):
+    docs: typing.List[DocsDocReference] = pydantic_v1.Field()
+    """
+    The documents that were found
+    """
+
+    time: float = pydantic_v1.Field()
+    """
+    The time taken to search in seconds
+    """
 
     def json(self, **kwargs: typing.Any) -> str:
         kwargs_with_defaults: typing.Any = {
diff --git a/sdks/python/julep/api/types/docs_hybrid_doc_search_request.py b/sdks/python/julep/api/types/docs_hybrid_doc_search_request.py
index 51de991e1..8e460c40f 100644
--- a/sdks/python/julep/api/types/docs_hybrid_doc_search_request.py
+++ b/sdks/python/julep/api/types/docs_hybrid_doc_search_request.py
@@ -9,6 +9,16 @@
 
 
 class DocsHybridDocSearchRequest(DocsBaseDocSearchRequest):
+    confidence: float = pydantic_v1.Field()
+    """
+    The confidence cutoff level
+    """
+
+    alpha: float = pydantic_v1.Field()
+    """
+    The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;
+    """
+
     text: str = pydantic_v1.Field()
     """
     Text to use in the search. In `hybrid` search mode, either `text` or both `text` and `vector` fields are required.
diff --git a/sdks/python/julep/api/types/docs_vector_doc_search_request.py b/sdks/python/julep/api/types/docs_vector_doc_search_request.py
index 4ea4e9632..f9c103ec6 100644
--- a/sdks/python/julep/api/types/docs_vector_doc_search_request.py
+++ b/sdks/python/julep/api/types/docs_vector_doc_search_request.py
@@ -9,6 +9,11 @@
 
 
 class DocsVectorDocSearchRequest(DocsBaseDocSearchRequest):
+    confidence: float = pydantic_v1.Field()
+    """
+    The confidence cutoff level
+    """
+
     vector: typing.List[float] = pydantic_v1.Field()
     """
     Vector to use in the search. Must be the same dimensions as the embedding model or else an error will be thrown.
diff --git a/sdks/python/julep/api/types/user_docs_search_route_search_request_direction.py b/sdks/python/julep/api/types/user_docs_search_route_search_request_direction.py
deleted file mode 100644
index 3a2ef70a8..000000000
--- a/sdks/python/julep/api/types/user_docs_search_route_search_request_direction.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# This file was auto-generated by Fern from our API Definition.
-
-import typing
-
-UserDocsSearchRouteSearchRequestDirection = typing.Union[
-    typing.Literal["asc", "desc"], typing.Any
-]
diff --git a/sdks/python/julep/api/types/user_docs_search_route_search_request_sort_by.py b/sdks/python/julep/api/types/user_docs_search_route_search_request_sort_by.py
deleted file mode 100644
index 8cf9538a6..000000000
--- a/sdks/python/julep/api/types/user_docs_search_route_search_request_sort_by.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# This file was auto-generated by Fern from our API Definition.
-
-import typing
-
-UserDocsSearchRouteSearchRequestSortBy = typing.Union[
-    typing.Literal["created_at", "updated_at"], typing.Any
-]
diff --git a/sdks/ts/src/api/index.ts b/sdks/ts/src/api/index.ts
index f279f2bb9..b38e497f5 100644
--- a/sdks/ts/src/api/index.ts
+++ b/sdks/ts/src/api/index.ts
@@ -53,6 +53,7 @@ export type { Docs_CreateDocRequest } from "./models/Docs_CreateDocRequest";
 export type { Docs_Doc } from "./models/Docs_Doc";
 export type { Docs_DocOwner } from "./models/Docs_DocOwner";
 export type { Docs_DocReference } from "./models/Docs_DocReference";
+export type { Docs_DocSearchResponse } from "./models/Docs_DocSearchResponse";
 export type { Docs_EmbedQueryRequest } from "./models/Docs_EmbedQueryRequest";
 export type { Docs_EmbedQueryResponse } from "./models/Docs_EmbedQueryResponse";
 export type { Docs_HybridDocSearchRequest } from "./models/Docs_HybridDocSearchRequest";
@@ -167,6 +168,7 @@ export { $Docs_CreateDocRequest } from "./schemas/$Docs_CreateDocRequest";
 export { $Docs_Doc } from "./schemas/$Docs_Doc";
 export { $Docs_DocOwner } from "./schemas/$Docs_DocOwner";
 export { $Docs_DocReference } from "./schemas/$Docs_DocReference";
+export { $Docs_DocSearchResponse } from "./schemas/$Docs_DocSearchResponse";
 export { $Docs_EmbedQueryRequest } from "./schemas/$Docs_EmbedQueryRequest";
 export { $Docs_EmbedQueryResponse } from "./schemas/$Docs_EmbedQueryResponse";
 export { $Docs_HybridDocSearchRequest } from "./schemas/$Docs_HybridDocSearchRequest";
diff --git a/sdks/ts/src/api/models/Docs_BaseDocSearchRequest.ts b/sdks/ts/src/api/models/Docs_BaseDocSearchRequest.ts
index d99eefaf9..b6dd20f99 100644
--- a/sdks/ts/src/api/models/Docs_BaseDocSearchRequest.ts
+++ b/sdks/ts/src/api/models/Docs_BaseDocSearchRequest.ts
@@ -3,18 +3,7 @@
 /* tslint:disable */
 /* eslint-disable */
 export type Docs_BaseDocSearchRequest = {
-  /**
-   * The confidence cutoff level
-   */
-  confidence: number;
-  /**
-   * The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;
-   */
-  alpha: number;
-  /**
-   * Whether to include the MMR algorithm in the search. Optimizes for diversity in search results.
-   */
-  mmr: boolean;
+  limit: number;
   /**
    * The language to be used for text-only search. Support for other languages coming soon.
    */
diff --git a/sdks/ts/src/api/models/Docs_DocSearchResponse.ts b/sdks/ts/src/api/models/Docs_DocSearchResponse.ts
new file mode 100644
index 000000000..cfb8ad225
--- /dev/null
+++ b/sdks/ts/src/api/models/Docs_DocSearchResponse.ts
@@ -0,0 +1,15 @@
+/* generated using openapi-typescript-codegen -- do no edit */
+/* istanbul ignore file */
+/* tslint:disable */
+/* eslint-disable */
+import type { Docs_DocReference } from "./Docs_DocReference";
+export type Docs_DocSearchResponse = {
+  /**
+   * The documents that were found
+   */
+  docs: Array<Docs_DocReference>;
+  /**
+   * The time taken to search in seconds
+   */
+  time: number;
+};
diff --git a/sdks/ts/src/api/models/Docs_HybridDocSearchRequest.ts b/sdks/ts/src/api/models/Docs_HybridDocSearchRequest.ts
index 93b099294..a1ba32811 100644
--- a/sdks/ts/src/api/models/Docs_HybridDocSearchRequest.ts
+++ b/sdks/ts/src/api/models/Docs_HybridDocSearchRequest.ts
@@ -4,6 +4,14 @@
 /* eslint-disable */
 import type { Docs_BaseDocSearchRequest } from "./Docs_BaseDocSearchRequest";
 export type Docs_HybridDocSearchRequest = Docs_BaseDocSearchRequest & {
+  /**
+   * The confidence cutoff level
+   */
+  confidence: number;
+  /**
+   * The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;
+   */
+  alpha: number;
   /**
    * Text to use in the search. In `hybrid` search mode, either `text` or both `text` and `vector` fields are required.
    */
diff --git a/sdks/ts/src/api/models/Docs_VectorDocSearchRequest.ts b/sdks/ts/src/api/models/Docs_VectorDocSearchRequest.ts
index 8839067b0..7a720c46a 100644
--- a/sdks/ts/src/api/models/Docs_VectorDocSearchRequest.ts
+++ b/sdks/ts/src/api/models/Docs_VectorDocSearchRequest.ts
@@ -4,6 +4,10 @@
 /* eslint-disable */
 import type { Docs_BaseDocSearchRequest } from "./Docs_BaseDocSearchRequest";
 export type Docs_VectorDocSearchRequest = Docs_BaseDocSearchRequest & {
+  /**
+   * The confidence cutoff level
+   */
+  confidence: number;
   /**
    * Vector to use in the search. Must be the same dimensions as the embedding model or else an error will be thrown.
    */
diff --git a/sdks/ts/src/api/schemas/$Docs_BaseDocSearchRequest.ts b/sdks/ts/src/api/schemas/$Docs_BaseDocSearchRequest.ts
index 00b992770..99188755e 100644
--- a/sdks/ts/src/api/schemas/$Docs_BaseDocSearchRequest.ts
+++ b/sdks/ts/src/api/schemas/$Docs_BaseDocSearchRequest.ts
@@ -4,22 +4,12 @@
 /* eslint-disable */
 export const $Docs_BaseDocSearchRequest = {
   properties: {
-    confidence: {
+    limit: {
       type: "number",
-      description: `The confidence cutoff level`,
-      isRequired: true,
-      maximum: 1,
-    },
-    alpha: {
-      type: "number",
-      description: `The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;`,
-      isRequired: true,
-      maximum: 1,
-    },
-    mmr: {
-      type: "boolean",
-      description: `Whether to include the MMR algorithm in the search. Optimizes for diversity in search results.`,
       isRequired: true,
+      format: "uint16",
+      maximum: 100,
+      minimum: 1,
     },
     lang: {
       type: "Enum",
diff --git a/sdks/ts/src/api/schemas/$Docs_DocSearchResponse.ts b/sdks/ts/src/api/schemas/$Docs_DocSearchResponse.ts
new file mode 100644
index 000000000..df2b37b48
--- /dev/null
+++ b/sdks/ts/src/api/schemas/$Docs_DocSearchResponse.ts
@@ -0,0 +1,21 @@
+/* generated using openapi-typescript-codegen -- do no edit */
+/* istanbul ignore file */
+/* tslint:disable */
+/* eslint-disable */
+export const $Docs_DocSearchResponse = {
+  properties: {
+    docs: {
+      type: "array",
+      contains: {
+        type: "Docs_DocReference",
+      },
+      isRequired: true,
+    },
+    time: {
+      type: "number",
+      description: `The time taken to search in seconds`,
+      isRequired: true,
+      exclusiveMinimum: true,
+    },
+  },
+} as const;
diff --git a/sdks/ts/src/api/schemas/$Docs_HybridDocSearchRequest.ts b/sdks/ts/src/api/schemas/$Docs_HybridDocSearchRequest.ts
index 14948c59a..2bc5005fb 100644
--- a/sdks/ts/src/api/schemas/$Docs_HybridDocSearchRequest.ts
+++ b/sdks/ts/src/api/schemas/$Docs_HybridDocSearchRequest.ts
@@ -10,6 +10,18 @@ export const $Docs_HybridDocSearchRequest = {
     },
     {
       properties: {
+        confidence: {
+          type: "number",
+          description: `The confidence cutoff level`,
+          isRequired: true,
+          maximum: 1,
+        },
+        alpha: {
+          type: "number",
+          description: `The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector;`,
+          isRequired: true,
+          maximum: 1,
+        },
         text: {
           type: "string",
           description: `Text to use in the search. In \`hybrid\` search mode, either \`text\` or both \`text\` and \`vector\` fields are required.`,
diff --git a/sdks/ts/src/api/schemas/$Docs_VectorDocSearchRequest.ts b/sdks/ts/src/api/schemas/$Docs_VectorDocSearchRequest.ts
index 54ba49bf5..af6de0b12 100644
--- a/sdks/ts/src/api/schemas/$Docs_VectorDocSearchRequest.ts
+++ b/sdks/ts/src/api/schemas/$Docs_VectorDocSearchRequest.ts
@@ -10,6 +10,12 @@ export const $Docs_VectorDocSearchRequest = {
     },
     {
       properties: {
+        confidence: {
+          type: "number",
+          description: `The confidence cutoff level`,
+          isRequired: true,
+          maximum: 1,
+        },
         vector: {
           type: "array",
           contains: {
diff --git a/sdks/ts/src/api/services/DefaultService.ts b/sdks/ts/src/api/services/DefaultService.ts
index c25ff685a..c71a6d7e9 100644
--- a/sdks/ts/src/api/services/DefaultService.ts
+++ b/sdks/ts/src/api/services/DefaultService.ts
@@ -20,7 +20,7 @@ import type { Common_ResourceUpdatedResponse } from "../models/Common_ResourceUp
 import type { Common_uuid } from "../models/Common_uuid";
 import type { Docs_CreateDocRequest } from "../models/Docs_CreateDocRequest";
 import type { Docs_Doc } from "../models/Docs_Doc";
-import type { Docs_DocReference } from "../models/Docs_DocReference";
+import type { Docs_DocSearchResponse } from "../models/Docs_DocSearchResponse";
 import type { Docs_EmbedQueryRequest } from "../models/Docs_EmbedQueryRequest";
 import type { Docs_EmbedQueryResponse } from "../models/Docs_EmbedQueryResponse";
 import type { Docs_HybridDocSearchRequest } from "../models/Docs_HybridDocSearchRequest";
@@ -315,17 +315,12 @@ export class DefaultService {
   }
   /**
    * Search Docs owned by an Agent
-   * @returns any The request has succeeded.
+   * @returns Docs_DocSearchResponse The request has succeeded.
    * @throws ApiError
    */
   public agentsDocsSearchRouteSearch({
     id,
     requestBody,
-    limit = 100,
-    offset,
-    sortBy = "created_at",
-    direction = "asc",
-    metadataFilter = "{}",
   }: {
     /**
      * ID of the parent
@@ -337,42 +332,13 @@ export class DefaultService {
         | Docs_TextOnlyDocSearchRequest
         | Docs_HybridDocSearchRequest;
     };
-    /**
-     * Limit the number of items returned
-     */
-    limit?: Common_limit;
-    /**
-     * Offset the items returned
-     */
-    offset: Common_offset;
-    /**
-     * Sort by a field
-     */
-    sortBy?: "created_at" | "updated_at";
-    /**
-     * Sort direction
-     */
-    direction?: "asc" | "desc";
-    /**
-     * JSON string of object that should be used to filter objects by metadata
-     */
-    metadataFilter?: string;
-  }): CancelablePromise<{
-    results: Array<Docs_DocReference>;
-  }> {
+  }): CancelablePromise<Docs_DocSearchResponse> {
     return this.httpRequest.request({
       method: "POST",
       url: "/agents/{id}/search",
       path: {
         id: id,
       },
-      query: {
-        limit: limit,
-        offset: offset,
-        sort_by: sortBy,
-        direction: direction,
-        metadata_filter: metadataFilter,
-      },
       body: requestBody,
       mediaType: "application/json",
     });
@@ -1758,17 +1724,12 @@ export class DefaultService {
   }
   /**
    * Search Docs owned by a User
-   * @returns any The request has succeeded.
+   * @returns Docs_DocSearchResponse The request has succeeded.
    * @throws ApiError
    */
   public userDocsSearchRouteSearch({
     id,
     requestBody,
-    limit = 100,
-    offset,
-    sortBy = "created_at",
-    direction = "asc",
-    metadataFilter = "{}",
   }: {
     /**
      * ID of the parent
@@ -1780,42 +1741,13 @@ export class DefaultService {
         | Docs_TextOnlyDocSearchRequest
         | Docs_HybridDocSearchRequest;
     };
-    /**
-     * Limit the number of items returned
-     */
-    limit?: Common_limit;
-    /**
-     * Offset the items returned
-     */
-    offset: Common_offset;
-    /**
-     * Sort by a field
-     */
-    sortBy?: "created_at" | "updated_at";
-    /**
-     * Sort direction
-     */
-    direction?: "asc" | "desc";
-    /**
-     * JSON string of object that should be used to filter objects by metadata
-     */
-    metadataFilter?: string;
-  }): CancelablePromise<{
-    results: Array<Docs_DocReference>;
-  }> {
+  }): CancelablePromise<Docs_DocSearchResponse> {
     return this.httpRequest.request({
       method: "POST",
       url: "/users/{id}/search",
       path: {
         id: id,
       },
-      query: {
-        limit: limit,
-        offset: offset,
-        sort_by: sortBy,
-        direction: direction,
-        metadata_filter: metadataFilter,
-      },
       body: requestBody,
       mediaType: "application/json",
     });
diff --git a/typespec/docs/endpoints.tsp b/typespec/docs/endpoints.tsp
index a493f9b86..143d18f33 100644
--- a/typespec/docs/endpoints.tsp
+++ b/typespec/docs/endpoints.tsp
@@ -37,11 +37,8 @@ interface SearchEndpoints<DocString extends valueof string = "Search for documen
         @doc("ID of the parent")
         id: uuid,
 
-        ...PaginationOptions,
         body: DocSearchRequest,
-    ): {
-        results: DocReference[];
-    };
+    ): DocSearchResponse;
 }
 
 interface EmbedEndpoints {
diff --git a/typespec/docs/models.tsp b/typespec/docs/models.tsp
index d93f808cd..0b57c02a8 100644
--- a/typespec/docs/models.tsp
+++ b/typespec/docs/models.tsp
@@ -66,24 +66,20 @@ model EmbedQueryResponse {
 }
 
 model BaseDocSearchRequest {
-    /** The confidence cutoff level */
-    @minValue(0)
-    @maxValue(1)
-    confidence: float = 0.5;
-
-    /** The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector; */
-    @minValue(0)
-    @maxValue(1)
-    alpha: float = 0.75;
-
-    /** Whether to include the MMR algorithm in the search. Optimizes for diversity in search results. */
-    mmr: boolean = false;
+    @minValue(1)
+    @maxValue(100)
+    limit: uint16 = 10;
 
     /** The language to be used for text-only search. Support for other languages coming soon. */
     lang: "en-US" = "en-US";
 }
 
 model VectorDocSearchRequest extends BaseDocSearchRequest {
+    /** The confidence cutoff level */
+    @minValue(0)
+    @maxValue(1)
+    confidence: float = 0.5;
+
     /** Vector to use in the search. Must be the same dimensions as the embedding model or else an error will be thrown. */
     vector: float[];
 
@@ -98,6 +94,16 @@ model TextOnlyDocSearchRequest extends BaseDocSearchRequest {
 }
 
 model HybridDocSearchRequest extends BaseDocSearchRequest {
+    /** The confidence cutoff level */
+    @minValue(0)
+    @maxValue(1)
+    confidence: float = 0.5;
+
+    /** The weight to apply to BM25 vs Vector search results. 0 => pure BM25; 1 => pure vector; */
+    @minValue(0)
+    @maxValue(1)
+    alpha: float = 0.75;
+
     /** Text to use in the search. In `hybrid` search mode, either `text` or both `text` and `vector` fields are required. */
     text: string;