two version of R2R are hereHEADmaster

1 files changed, 1856 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/google/genai/caches.py b/.venv/lib/python3.12/site-packages/google/genai/caches.py
new file mode 100644
index 00000000..6d0e576b
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/google/genai/caches.py
@@ -0,0 +1,1856 @@
+# Copyright 2024 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+# Code generated by the Google Gen AI SDK generator DO NOT EDIT.
+
+from typing import Optional, Union
+from urllib.parse import urlencode
+from . import _common
+from . import _transformers as t
+from . import types
+from ._api_client import ApiClient
+from ._common import get_value_by_path as getv
+from ._common import set_value_by_path as setv
+from .pagers import AsyncPager, Pager
+
+
+def _Part_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['video_metadata']) is not None:
+    raise ValueError('video_metadata parameter is not supported in Google AI.')
+
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
+  if getv(from_object, ['code_execution_result']) is not None:
+    setv(
+        to_object,
+        ['codeExecutionResult'],
+        getv(from_object, ['code_execution_result']),
+    )
+
+  if getv(from_object, ['executable_code']) is not None:
+    setv(to_object, ['executableCode'], getv(from_object, ['executable_code']))
+
+  if getv(from_object, ['file_data']) is not None:
+    setv(to_object, ['fileData'], getv(from_object, ['file_data']))
+
+  if getv(from_object, ['function_call']) is not None:
+    setv(to_object, ['functionCall'], getv(from_object, ['function_call']))
+
+  if getv(from_object, ['function_response']) is not None:
+    setv(
+        to_object,
+        ['functionResponse'],
+        getv(from_object, ['function_response']),
+    )
+
+  if getv(from_object, ['inline_data']) is not None:
+    setv(to_object, ['inlineData'], getv(from_object, ['inline_data']))
+
+  if getv(from_object, ['text']) is not None:
+    setv(to_object, ['text'], getv(from_object, ['text']))
+
+  return to_object
+
+
+def _Part_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['video_metadata']) is not None:
+    setv(to_object, ['videoMetadata'], getv(from_object, ['video_metadata']))
+
+  if getv(from_object, ['thought']) is not None:
+    setv(to_object, ['thought'], getv(from_object, ['thought']))
+
+  if getv(from_object, ['code_execution_result']) is not None:
+    setv(
+        to_object,
+        ['codeExecutionResult'],
+        getv(from_object, ['code_execution_result']),
+    )
+
+  if getv(from_object, ['executable_code']) is not None:
+    setv(to_object, ['executableCode'], getv(from_object, ['executable_code']))
+
+  if getv(from_object, ['file_data']) is not None:
+    setv(to_object, ['fileData'], getv(from_object, ['file_data']))
+
+  if getv(from_object, ['function_call']) is not None:
+    setv(to_object, ['functionCall'], getv(from_object, ['function_call']))
+
+  if getv(from_object, ['function_response']) is not None:
+    setv(
+        to_object,
+        ['functionResponse'],
+        getv(from_object, ['function_response']),
+    )
+
+  if getv(from_object, ['inline_data']) is not None:
+    setv(to_object, ['inlineData'], getv(from_object, ['inline_data']))
+
+  if getv(from_object, ['text']) is not None:
+    setv(to_object, ['text'], getv(from_object, ['text']))
+
+  return to_object
+
+
+def _Content_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['parts']) is not None:
+    setv(
+        to_object,
+        ['parts'],
+        [
+            _Part_to_mldev(api_client, item, to_object)
+            for item in getv(from_object, ['parts'])
+        ],
+    )
+
+  if getv(from_object, ['role']) is not None:
+    setv(to_object, ['role'], getv(from_object, ['role']))
+
+  return to_object
+
+
+def _Content_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['parts']) is not None:
+    setv(
+        to_object,
+        ['parts'],
+        [
+            _Part_to_vertex(api_client, item, to_object)
+            for item in getv(from_object, ['parts'])
+        ],
+    )
+
+  if getv(from_object, ['role']) is not None:
+    setv(to_object, ['role'], getv(from_object, ['role']))
+
+  return to_object
+
+
+def _Schema_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['min_items']) is not None:
+    raise ValueError('min_items parameter is not supported in Google AI.')
+
+  if getv(from_object, ['example']) is not None:
+    raise ValueError('example parameter is not supported in Google AI.')
+
+  if getv(from_object, ['property_ordering']) is not None:
+    raise ValueError(
+        'property_ordering parameter is not supported in Google AI.'
+    )
+
+  if getv(from_object, ['pattern']) is not None:
+    raise ValueError('pattern parameter is not supported in Google AI.')
+
+  if getv(from_object, ['minimum']) is not None:
+    raise ValueError('minimum parameter is not supported in Google AI.')
+
+  if getv(from_object, ['default']) is not None:
+    raise ValueError('default parameter is not supported in Google AI.')
+
+  if getv(from_object, ['any_of']) is not None:
+    raise ValueError('any_of parameter is not supported in Google AI.')
+
+  if getv(from_object, ['max_length']) is not None:
+    raise ValueError('max_length parameter is not supported in Google AI.')
+
+  if getv(from_object, ['title']) is not None:
+    raise ValueError('title parameter is not supported in Google AI.')
+
+  if getv(from_object, ['min_length']) is not None:
+    raise ValueError('min_length parameter is not supported in Google AI.')
+
+  if getv(from_object, ['min_properties']) is not None:
+    raise ValueError('min_properties parameter is not supported in Google AI.')
+
+  if getv(from_object, ['max_items']) is not None:
+    raise ValueError('max_items parameter is not supported in Google AI.')
+
+  if getv(from_object, ['maximum']) is not None:
+    raise ValueError('maximum parameter is not supported in Google AI.')
+
+  if getv(from_object, ['nullable']) is not None:
+    raise ValueError('nullable parameter is not supported in Google AI.')
+
+  if getv(from_object, ['max_properties']) is not None:
+    raise ValueError('max_properties parameter is not supported in Google AI.')
+
+  if getv(from_object, ['type']) is not None:
+    setv(to_object, ['type'], getv(from_object, ['type']))
+
+  if getv(from_object, ['description']) is not None:
+    setv(to_object, ['description'], getv(from_object, ['description']))
+
+  if getv(from_object, ['enum']) is not None:
+    setv(to_object, ['enum'], getv(from_object, ['enum']))
+
+  if getv(from_object, ['format']) is not None:
+    setv(to_object, ['format'], getv(from_object, ['format']))
+
+  if getv(from_object, ['items']) is not None:
+    setv(to_object, ['items'], getv(from_object, ['items']))
+
+  if getv(from_object, ['properties']) is not None:
+    setv(to_object, ['properties'], getv(from_object, ['properties']))
+
+  if getv(from_object, ['required']) is not None:
+    setv(to_object, ['required'], getv(from_object, ['required']))
+
+  return to_object
+
+
+def _Schema_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['min_items']) is not None:
+    setv(to_object, ['minItems'], getv(from_object, ['min_items']))
+
+  if getv(from_object, ['example']) is not None:
+    setv(to_object, ['example'], getv(from_object, ['example']))
+
+  if getv(from_object, ['property_ordering']) is not None:
+    setv(
+        to_object,
+        ['propertyOrdering'],
+        getv(from_object, ['property_ordering']),
+    )
+
+  if getv(from_object, ['pattern']) is not None:
+    setv(to_object, ['pattern'], getv(from_object, ['pattern']))
+
+  if getv(from_object, ['minimum']) is not None:
+    setv(to_object, ['minimum'], getv(from_object, ['minimum']))
+
+  if getv(from_object, ['default']) is not None:
+    setv(to_object, ['default'], getv(from_object, ['default']))
+
+  if getv(from_object, ['any_of']) is not None:
+    setv(to_object, ['anyOf'], getv(from_object, ['any_of']))
+
+  if getv(from_object, ['max_length']) is not None:
+    setv(to_object, ['maxLength'], getv(from_object, ['max_length']))
+
+  if getv(from_object, ['title']) is not None:
+    setv(to_object, ['title'], getv(from_object, ['title']))
+
+  if getv(from_object, ['min_length']) is not None:
+    setv(to_object, ['minLength'], getv(from_object, ['min_length']))
+
+  if getv(from_object, ['min_properties']) is not None:
+    setv(to_object, ['minProperties'], getv(from_object, ['min_properties']))
+
+  if getv(from_object, ['max_items']) is not None:
+    setv(to_object, ['maxItems'], getv(from_object, ['max_items']))
+
+  if getv(from_object, ['maximum']) is not None:
+    setv(to_object, ['maximum'], getv(from_object, ['maximum']))
+
+  if getv(from_object, ['nullable']) is not None:
+    setv(to_object, ['nullable'], getv(from_object, ['nullable']))
+
+  if getv(from_object, ['max_properties']) is not None:
+    setv(to_object, ['maxProperties'], getv(from_object, ['max_properties']))
+
+  if getv(from_object, ['type']) is not None:
+    setv(to_object, ['type'], getv(from_object, ['type']))
+
+  if getv(from_object, ['description']) is not None:
+    setv(to_object, ['description'], getv(from_object, ['description']))
+
+  if getv(from_object, ['enum']) is not None:
+    setv(to_object, ['enum'], getv(from_object, ['enum']))
+
+  if getv(from_object, ['format']) is not None:
+    setv(to_object, ['format'], getv(from_object, ['format']))
+
+  if getv(from_object, ['items']) is not None:
+    setv(to_object, ['items'], getv(from_object, ['items']))
+
+  if getv(from_object, ['properties']) is not None:
+    setv(to_object, ['properties'], getv(from_object, ['properties']))
+
+  if getv(from_object, ['required']) is not None:
+    setv(to_object, ['required'], getv(from_object, ['required']))
+
+  return to_object
+
+
+def _FunctionDeclaration_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['response']) is not None:
+    raise ValueError('response parameter is not supported in Google AI.')
+
+  if getv(from_object, ['description']) is not None:
+    setv(to_object, ['description'], getv(from_object, ['description']))
+
+  if getv(from_object, ['name']) is not None:
+    setv(to_object, ['name'], getv(from_object, ['name']))
+
+  if getv(from_object, ['parameters']) is not None:
+    setv(to_object, ['parameters'], getv(from_object, ['parameters']))
+
+  return to_object
+
+
+def _FunctionDeclaration_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['response']) is not None:
+    setv(
+        to_object,
+        ['response'],
+        _Schema_to_vertex(
+            api_client, getv(from_object, ['response']), to_object
+        ),
+    )
+
+  if getv(from_object, ['description']) is not None:
+    setv(to_object, ['description'], getv(from_object, ['description']))
+
+  if getv(from_object, ['name']) is not None:
+    setv(to_object, ['name'], getv(from_object, ['name']))
+
+  if getv(from_object, ['parameters']) is not None:
+    setv(to_object, ['parameters'], getv(from_object, ['parameters']))
+
+  return to_object
+
+
+def _GoogleSearch_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _GoogleSearch_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _DynamicRetrievalConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['mode']) is not None:
+    setv(to_object, ['mode'], getv(from_object, ['mode']))
+
+  if getv(from_object, ['dynamic_threshold']) is not None:
+    setv(
+        to_object,
+        ['dynamicThreshold'],
+        getv(from_object, ['dynamic_threshold']),
+    )
+
+  return to_object
+
+
+def _DynamicRetrievalConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['mode']) is not None:
+    setv(to_object, ['mode'], getv(from_object, ['mode']))
+
+  if getv(from_object, ['dynamic_threshold']) is not None:
+    setv(
+        to_object,
+        ['dynamicThreshold'],
+        getv(from_object, ['dynamic_threshold']),
+    )
+
+  return to_object
+
+
+def _GoogleSearchRetrieval_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['dynamic_retrieval_config']) is not None:
+    setv(
+        to_object,
+        ['dynamicRetrievalConfig'],
+        _DynamicRetrievalConfig_to_mldev(
+            api_client,
+            getv(from_object, ['dynamic_retrieval_config']),
+            to_object,
+        ),
+    )
+
+  return to_object
+
+
+def _GoogleSearchRetrieval_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['dynamic_retrieval_config']) is not None:
+    setv(
+        to_object,
+        ['dynamicRetrievalConfig'],
+        _DynamicRetrievalConfig_to_vertex(
+            api_client,
+            getv(from_object, ['dynamic_retrieval_config']),
+            to_object,
+        ),
+    )
+
+  return to_object
+
+
+def _Tool_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['function_declarations']) is not None:
+    setv(
+        to_object,
+        ['functionDeclarations'],
+        [
+            _FunctionDeclaration_to_mldev(api_client, item, to_object)
+            for item in getv(from_object, ['function_declarations'])
+        ],
+    )
+
+  if getv(from_object, ['retrieval']) is not None:
+    raise ValueError('retrieval parameter is not supported in Google AI.')
+
+  if getv(from_object, ['google_search']) is not None:
+    setv(
+        to_object,
+        ['googleSearch'],
+        _GoogleSearch_to_mldev(
+            api_client, getv(from_object, ['google_search']), to_object
+        ),
+    )
+
+  if getv(from_object, ['google_search_retrieval']) is not None:
+    setv(
+        to_object,
+        ['googleSearchRetrieval'],
+        _GoogleSearchRetrieval_to_mldev(
+            api_client,
+            getv(from_object, ['google_search_retrieval']),
+            to_object,
+        ),
+    )
+
+  if getv(from_object, ['code_execution']) is not None:
+    setv(to_object, ['codeExecution'], getv(from_object, ['code_execution']))
+
+  return to_object
+
+
+def _Tool_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['function_declarations']) is not None:
+    setv(
+        to_object,
+        ['functionDeclarations'],
+        [
+            _FunctionDeclaration_to_vertex(api_client, item, to_object)
+            for item in getv(from_object, ['function_declarations'])
+        ],
+    )
+
+  if getv(from_object, ['retrieval']) is not None:
+    setv(to_object, ['retrieval'], getv(from_object, ['retrieval']))
+
+  if getv(from_object, ['google_search']) is not None:
+    setv(
+        to_object,
+        ['googleSearch'],
+        _GoogleSearch_to_vertex(
+            api_client, getv(from_object, ['google_search']), to_object
+        ),
+    )
+
+  if getv(from_object, ['google_search_retrieval']) is not None:
+    setv(
+        to_object,
+        ['googleSearchRetrieval'],
+        _GoogleSearchRetrieval_to_vertex(
+            api_client,
+            getv(from_object, ['google_search_retrieval']),
+            to_object,
+        ),
+    )
+
+  if getv(from_object, ['code_execution']) is not None:
+    setv(to_object, ['codeExecution'], getv(from_object, ['code_execution']))
+
+  return to_object
+
+
+def _FunctionCallingConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['mode']) is not None:
+    setv(to_object, ['mode'], getv(from_object, ['mode']))
+
+  if getv(from_object, ['allowed_function_names']) is not None:
+    setv(
+        to_object,
+        ['allowedFunctionNames'],
+        getv(from_object, ['allowed_function_names']),
+    )
+
+  return to_object
+
+
+def _FunctionCallingConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['mode']) is not None:
+    setv(to_object, ['mode'], getv(from_object, ['mode']))
+
+  if getv(from_object, ['allowed_function_names']) is not None:
+    setv(
+        to_object,
+        ['allowedFunctionNames'],
+        getv(from_object, ['allowed_function_names']),
+    )
+
+  return to_object
+
+
+def _ToolConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['function_calling_config']) is not None:
+    setv(
+        to_object,
+        ['functionCallingConfig'],
+        _FunctionCallingConfig_to_mldev(
+            api_client,
+            getv(from_object, ['function_calling_config']),
+            to_object,
+        ),
+    )
+
+  return to_object
+
+
+def _ToolConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['function_calling_config']) is not None:
+    setv(
+        to_object,
+        ['functionCallingConfig'],
+        _FunctionCallingConfig_to_vertex(
+            api_client,
+            getv(from_object, ['function_calling_config']),
+            to_object,
+        ),
+    )
+
+  return to_object
+
+
+def _CreateCachedContentConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  if getv(from_object, ['ttl']) is not None:
+    setv(parent_object, ['ttl'], getv(from_object, ['ttl']))
+
+  if getv(from_object, ['expire_time']) is not None:
+    setv(parent_object, ['expireTime'], getv(from_object, ['expire_time']))
+
+  if getv(from_object, ['display_name']) is not None:
+    setv(parent_object, ['displayName'], getv(from_object, ['display_name']))
+
+  if getv(from_object, ['contents']) is not None:
+    setv(
+        parent_object,
+        ['contents'],
+        [
+            _Content_to_mldev(api_client, item, to_object)
+            for item in t.t_contents(
+                api_client, getv(from_object, ['contents'])
+            )
+        ],
+    )
+
+  if getv(from_object, ['system_instruction']) is not None:
+    setv(
+        parent_object,
+        ['systemInstruction'],
+        _Content_to_mldev(
+            api_client,
+            t.t_content(api_client, getv(from_object, ['system_instruction'])),
+            to_object,
+        ),
+    )
+
+  if getv(from_object, ['tools']) is not None:
+    setv(
+        parent_object,
+        ['tools'],
+        [
+            _Tool_to_mldev(api_client, item, to_object)
+            for item in getv(from_object, ['tools'])
+        ],
+    )
+
+  if getv(from_object, ['tool_config']) is not None:
+    setv(
+        parent_object,
+        ['toolConfig'],
+        _ToolConfig_to_mldev(
+            api_client, getv(from_object, ['tool_config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _CreateCachedContentConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  if getv(from_object, ['ttl']) is not None:
+    setv(parent_object, ['ttl'], getv(from_object, ['ttl']))
+
+  if getv(from_object, ['expire_time']) is not None:
+    setv(parent_object, ['expireTime'], getv(from_object, ['expire_time']))
+
+  if getv(from_object, ['display_name']) is not None:
+    setv(parent_object, ['displayName'], getv(from_object, ['display_name']))
+
+  if getv(from_object, ['contents']) is not None:
+    setv(
+        parent_object,
+        ['contents'],
+        [
+            _Content_to_vertex(api_client, item, to_object)
+            for item in t.t_contents(
+                api_client, getv(from_object, ['contents'])
+            )
+        ],
+    )
+
+  if getv(from_object, ['system_instruction']) is not None:
+    setv(
+        parent_object,
+        ['systemInstruction'],
+        _Content_to_vertex(
+            api_client,
+            t.t_content(api_client, getv(from_object, ['system_instruction'])),
+            to_object,
+        ),
+    )
+
+  if getv(from_object, ['tools']) is not None:
+    setv(
+        parent_object,
+        ['tools'],
+        [
+            _Tool_to_vertex(api_client, item, to_object)
+            for item in getv(from_object, ['tools'])
+        ],
+    )
+
+  if getv(from_object, ['tool_config']) is not None:
+    setv(
+        parent_object,
+        ['toolConfig'],
+        _ToolConfig_to_vertex(
+            api_client, getv(from_object, ['tool_config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _CreateCachedContentParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['model']) is not None:
+    setv(
+        to_object,
+        ['model'],
+        t.t_caches_model(api_client, getv(from_object, ['model'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _CreateCachedContentConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _CreateCachedContentParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['model']) is not None:
+    setv(
+        to_object,
+        ['model'],
+        t.t_caches_model(api_client, getv(from_object, ['model'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _CreateCachedContentConfig_to_vertex(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _GetCachedContentConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _GetCachedContentConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _GetCachedContentParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'name'],
+        t.t_cached_content_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _GetCachedContentConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _GetCachedContentParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'name'],
+        t.t_cached_content_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _GetCachedContentConfig_to_vertex(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _DeleteCachedContentConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _DeleteCachedContentConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  return to_object
+
+
+def _DeleteCachedContentParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'name'],
+        t.t_cached_content_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _DeleteCachedContentConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _DeleteCachedContentParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'name'],
+        t.t_cached_content_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _DeleteCachedContentConfig_to_vertex(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _UpdateCachedContentConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  if getv(from_object, ['ttl']) is not None:
+    setv(parent_object, ['ttl'], getv(from_object, ['ttl']))
+
+  if getv(from_object, ['expire_time']) is not None:
+    setv(parent_object, ['expireTime'], getv(from_object, ['expire_time']))
+
+  return to_object
+
+
+def _UpdateCachedContentConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['http_options']) is not None:
+    setv(to_object, ['httpOptions'], getv(from_object, ['http_options']))
+
+  if getv(from_object, ['ttl']) is not None:
+    setv(parent_object, ['ttl'], getv(from_object, ['ttl']))
+
+  if getv(from_object, ['expire_time']) is not None:
+    setv(parent_object, ['expireTime'], getv(from_object, ['expire_time']))
+
+  return to_object
+
+
+def _UpdateCachedContentParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'name'],
+        t.t_cached_content_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _UpdateCachedContentConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _UpdateCachedContentParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(
+        to_object,
+        ['_url', 'name'],
+        t.t_cached_content_name(api_client, getv(from_object, ['name'])),
+    )
+
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _UpdateCachedContentConfig_to_vertex(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _ListCachedContentsConfig_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['page_size']) is not None:
+    setv(
+        parent_object, ['_query', 'pageSize'], getv(from_object, ['page_size'])
+    )
+
+  if getv(from_object, ['page_token']) is not None:
+    setv(
+        parent_object,
+        ['_query', 'pageToken'],
+        getv(from_object, ['page_token']),
+    )
+
+  return to_object
+
+
+def _ListCachedContentsConfig_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['page_size']) is not None:
+    setv(
+        parent_object, ['_query', 'pageSize'], getv(from_object, ['page_size'])
+    )
+
+  if getv(from_object, ['page_token']) is not None:
+    setv(
+        parent_object,
+        ['_query', 'pageToken'],
+        getv(from_object, ['page_token']),
+    )
+
+  return to_object
+
+
+def _ListCachedContentsParameters_to_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _ListCachedContentsConfig_to_mldev(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _ListCachedContentsParameters_to_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['config']) is not None:
+    setv(
+        to_object,
+        ['config'],
+        _ListCachedContentsConfig_to_vertex(
+            api_client, getv(from_object, ['config']), to_object
+        ),
+    )
+
+  return to_object
+
+
+def _CachedContent_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(to_object, ['name'], getv(from_object, ['name']))
+
+  if getv(from_object, ['displayName']) is not None:
+    setv(to_object, ['display_name'], getv(from_object, ['displayName']))
+
+  if getv(from_object, ['model']) is not None:
+    setv(to_object, ['model'], getv(from_object, ['model']))
+
+  if getv(from_object, ['createTime']) is not None:
+    setv(to_object, ['create_time'], getv(from_object, ['createTime']))
+
+  if getv(from_object, ['updateTime']) is not None:
+    setv(to_object, ['update_time'], getv(from_object, ['updateTime']))
+
+  if getv(from_object, ['expireTime']) is not None:
+    setv(to_object, ['expire_time'], getv(from_object, ['expireTime']))
+
+  if getv(from_object, ['usageMetadata']) is not None:
+    setv(to_object, ['usage_metadata'], getv(from_object, ['usageMetadata']))
+
+  return to_object
+
+
+def _CachedContent_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['name']) is not None:
+    setv(to_object, ['name'], getv(from_object, ['name']))
+
+  if getv(from_object, ['displayName']) is not None:
+    setv(to_object, ['display_name'], getv(from_object, ['displayName']))
+
+  if getv(from_object, ['model']) is not None:
+    setv(to_object, ['model'], getv(from_object, ['model']))
+
+  if getv(from_object, ['createTime']) is not None:
+    setv(to_object, ['create_time'], getv(from_object, ['createTime']))
+
+  if getv(from_object, ['updateTime']) is not None:
+    setv(to_object, ['update_time'], getv(from_object, ['updateTime']))
+
+  if getv(from_object, ['expireTime']) is not None:
+    setv(to_object, ['expire_time'], getv(from_object, ['expireTime']))
+
+  if getv(from_object, ['usageMetadata']) is not None:
+    setv(to_object, ['usage_metadata'], getv(from_object, ['usageMetadata']))
+
+  return to_object
+
+
+def _DeleteCachedContentResponse_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _DeleteCachedContentResponse_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+
+  return to_object
+
+
+def _ListCachedContentsResponse_from_mldev(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['nextPageToken']) is not None:
+    setv(to_object, ['next_page_token'], getv(from_object, ['nextPageToken']))
+
+  if getv(from_object, ['cachedContents']) is not None:
+    setv(
+        to_object,
+        ['cached_contents'],
+        [
+            _CachedContent_from_mldev(api_client, item, to_object)
+            for item in getv(from_object, ['cachedContents'])
+        ],
+    )
+
+  return to_object
+
+
+def _ListCachedContentsResponse_from_vertex(
+    api_client: ApiClient,
+    from_object: Union[dict, object],
+    parent_object: dict = None,
+) -> dict:
+  to_object = {}
+  if getv(from_object, ['nextPageToken']) is not None:
+    setv(to_object, ['next_page_token'], getv(from_object, ['nextPageToken']))
+
+  if getv(from_object, ['cachedContents']) is not None:
+    setv(
+        to_object,
+        ['cached_contents'],
+        [
+            _CachedContent_from_vertex(api_client, item, to_object)
+            for item in getv(from_object, ['cachedContents'])
+        ],
+    )
+
+  return to_object
+
+
+class Caches(_common.BaseModule):
+
+  def create(
+      self,
+      *,
+      model: str,
+      config: Optional[types.CreateCachedContentConfigOrDict] = None,
+  ) -> types.CachedContent:
+    """Creates cached content, this call will initialize the cached
+
+    content in the data storage, and users need to pay for the cache data
+    storage.
+
+    Usage:
+
+    .. code-block:: python
+
+      contents = ... // Initialize the content to cache.
+      response = await client.aio.caches.create(
+          model= ... // The publisher model id
+          contents=contents,
+          config={
+              'display_name': 'test cache',
+              'system_instruction': 'What is the sum of the two pdfs?',
+              'ttl': '86400s',
+          },
+      )
+    """
+
+    parameter_model = types._CreateCachedContentParameters(
+        model=model,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _CreateCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _CreateCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'post', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _CachedContent_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CachedContent_from_mldev(self._api_client, response_dict)
+
+    return_value = types.CachedContent._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def get(
+      self,
+      *,
+      name: str,
+      config: Optional[types.GetCachedContentConfigOrDict] = None,
+  ) -> types.CachedContent:
+    """Gets cached content configurations.
+
+    .. code-block:: python
+
+      await client.aio.caches.get(name= ... ) // The server-generated resource
+      name.
+    """
+
+    parameter_model = types._GetCachedContentParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _GetCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _GetCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'get', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _CachedContent_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CachedContent_from_mldev(self._api_client, response_dict)
+
+    return_value = types.CachedContent._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def delete(
+      self,
+      *,
+      name: str,
+      config: Optional[types.DeleteCachedContentConfigOrDict] = None,
+  ) -> types.DeleteCachedContentResponse:
+    """Deletes cached content.
+
+    Usage:
+
+    .. code-block:: python
+
+      await client.aio.caches.delete(name= ... ) // The server-generated
+      resource name.
+    """
+
+    parameter_model = types._DeleteCachedContentParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _DeleteCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _DeleteCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'delete', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _DeleteCachedContentResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _DeleteCachedContentResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.DeleteCachedContentResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def update(
+      self,
+      *,
+      name: str,
+      config: Optional[types.UpdateCachedContentConfigOrDict] = None,
+  ) -> types.CachedContent:
+    """Updates cached content configurations.
+
+    .. code-block:: python
+
+      response = await client.aio.caches.update(
+          name= ... // The server-generated resource name.
+          config={
+              'ttl': '7600s',
+          },
+      )
+    """
+
+    parameter_model = types._UpdateCachedContentParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _UpdateCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _UpdateCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'patch', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _CachedContent_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CachedContent_from_mldev(self._api_client, response_dict)
+
+    return_value = types.CachedContent._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def _list(
+      self, *, config: Optional[types.ListCachedContentsConfigOrDict] = None
+  ) -> types.ListCachedContentsResponse:
+    """Lists cached content configurations.
+
+    .. code-block:: python
+
+      cached_contents = await client.aio.caches.list(config={'page_size': 2})
+      async for cached_content in cached_contents:
+        print(cached_content)
+    """
+
+    parameter_model = types._ListCachedContentsParameters(
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _ListCachedContentsParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _ListCachedContentsParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = self._api_client.request(
+        'get', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _ListCachedContentsResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _ListCachedContentsResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.ListCachedContentsResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  def list(
+      self, *, config: Optional[types.ListCachedContentsConfigOrDict] = None
+  ) -> Pager[types.CachedContent]:
+    return Pager(
+        'cached_contents',
+        self._list,
+        self._list(config=config),
+        config,
+    )
+
+
+class AsyncCaches(_common.BaseModule):
+
+  async def create(
+      self,
+      *,
+      model: str,
+      config: Optional[types.CreateCachedContentConfigOrDict] = None,
+  ) -> types.CachedContent:
+    """Creates cached content, this call will initialize the cached
+
+    content in the data storage, and users need to pay for the cache data
+    storage.
+
+    Usage:
+
+    .. code-block:: python
+
+      contents = ... // Initialize the content to cache.
+      response = await client.aio.caches.create(
+          model= ... // The publisher model id
+          contents=contents,
+          config={
+              'display_name': 'test cache',
+              'system_instruction': 'What is the sum of the two pdfs?',
+              'ttl': '86400s',
+          },
+      )
+    """
+
+    parameter_model = types._CreateCachedContentParameters(
+        model=model,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _CreateCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _CreateCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = await self._api_client.async_request(
+        'post', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _CachedContent_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CachedContent_from_mldev(self._api_client, response_dict)
+
+    return_value = types.CachedContent._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def get(
+      self,
+      *,
+      name: str,
+      config: Optional[types.GetCachedContentConfigOrDict] = None,
+  ) -> types.CachedContent:
+    """Gets cached content configurations.
+
+    .. code-block:: python
+
+      await client.aio.caches.get(name= ... ) // The server-generated resource
+      name.
+    """
+
+    parameter_model = types._GetCachedContentParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _GetCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _GetCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = await self._api_client.async_request(
+        'get', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _CachedContent_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CachedContent_from_mldev(self._api_client, response_dict)
+
+    return_value = types.CachedContent._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def delete(
+      self,
+      *,
+      name: str,
+      config: Optional[types.DeleteCachedContentConfigOrDict] = None,
+  ) -> types.DeleteCachedContentResponse:
+    """Deletes cached content.
+
+    Usage:
+
+    .. code-block:: python
+
+      await client.aio.caches.delete(name= ... ) // The server-generated
+      resource name.
+    """
+
+    parameter_model = types._DeleteCachedContentParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _DeleteCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _DeleteCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = await self._api_client.async_request(
+        'delete', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _DeleteCachedContentResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _DeleteCachedContentResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.DeleteCachedContentResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def update(
+      self,
+      *,
+      name: str,
+      config: Optional[types.UpdateCachedContentConfigOrDict] = None,
+  ) -> types.CachedContent:
+    """Updates cached content configurations.
+
+    .. code-block:: python
+
+      response = await client.aio.caches.update(
+          name= ... // The server-generated resource name.
+          config={
+              'ttl': '7600s',
+          },
+      )
+    """
+
+    parameter_model = types._UpdateCachedContentParameters(
+        name=name,
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _UpdateCachedContentParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _UpdateCachedContentParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = '{name}'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = await self._api_client.async_request(
+        'patch', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _CachedContent_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _CachedContent_from_mldev(self._api_client, response_dict)
+
+    return_value = types.CachedContent._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def _list(
+      self, *, config: Optional[types.ListCachedContentsConfigOrDict] = None
+  ) -> types.ListCachedContentsResponse:
+    """Lists cached content configurations.
+
+    .. code-block:: python
+
+      cached_contents = await client.aio.caches.list(config={'page_size': 2})
+      async for cached_content in cached_contents:
+        print(cached_content)
+    """
+
+    parameter_model = types._ListCachedContentsParameters(
+        config=config,
+    )
+
+    if self._api_client.vertexai:
+      request_dict = _ListCachedContentsParameters_to_vertex(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    else:
+      request_dict = _ListCachedContentsParameters_to_mldev(
+          self._api_client, parameter_model
+      )
+      path = 'cachedContents'.format_map(request_dict.get('_url'))
+    query_params = request_dict.get('_query')
+    if query_params:
+      path = f'{path}?{urlencode(query_params)}'
+    # TODO: remove the hack that pops config.
+    config = request_dict.pop('config', None)
+    http_options = config.pop('httpOptions', None) if config else None
+    request_dict = _common.convert_to_dict(request_dict)
+    request_dict = _common.encode_unserializable_types(request_dict)
+
+    response_dict = await self._api_client.async_request(
+        'get', path, request_dict, http_options
+    )
+
+    if self._api_client.vertexai:
+      response_dict = _ListCachedContentsResponse_from_vertex(
+          self._api_client, response_dict
+      )
+    else:
+      response_dict = _ListCachedContentsResponse_from_mldev(
+          self._api_client, response_dict
+      )
+
+    return_value = types.ListCachedContentsResponse._from_response(
+        response_dict, parameter_model
+    )
+    self._api_client._verify_response(return_value)
+    return return_value
+
+  async def list(
+      self, *, config: Optional[types.ListCachedContentsConfigOrDict] = None
+  ) -> AsyncPager[types.CachedContent]:
+    return AsyncPager(
+        'cached_contents',
+        self._list,
+        await self._list(config=config),
+        config,
+    )