As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

CacheService

class google.ai.generativelanguage_v1beta.services.cache_service.CacheServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.ai.generativelanguage_v1beta.services.cache_service.transports.base.CacheServiceTransport, typing.Callable[[...], google.ai.generativelanguage_v1beta.services.cache_service.transports.base.CacheServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

API for managing cache of content (CachedContent resources) that can be used in GenerativeService requests. This way generate content requests can benefit from preprocessing work being done earlier, possibly lowering their computational cost. It is intended to be used with large contexts.

Instantiates the cache service async client.

Parameters

  • credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

  • transport (Optional[Union[str,CacheServiceTransport,Callable[..., CacheServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the CacheServiceTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

static cached_content_path(id: str) → str

Returns a fully-qualified cached_content string.

static common_billing_account_path(billing_account: str) → str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str

Returns a fully-qualified organization string.

static common_project_path(project: str) → str

Returns a fully-qualified project string.

async create_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.CreateCachedContentRequest, dict]] = None, *, cached_content: Optional[google.ai.generativelanguage_v1beta.types.cached_content.CachedContent] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.types.cached_content.CachedContent[source]

Creates CachedContent resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

async def sample_create_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceAsyncClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.CreateCachedContentRequest(
    )

    # Make the request
    response = await client.create_cached_content(request=request)

    # Handle the response
    print(response)
Parameters
Returns

Content that has been preprocessed and can be used in subsequent request to GenerativeService.

Cached content can be only used with model it was created for.

Return type

google.ai.generativelanguage_v1beta.types.CachedContent

async delete_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.DeleteCachedContentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

Deletes CachedContent resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

async def sample_delete_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceAsyncClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.DeleteCachedContentRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_cached_content(request=request)
Parameters

  • request (Optional[Union[google.ai.generativelanguage_v1beta.types.DeleteCachedContentRequest, dict]]) – The request object. Request to delete CachedContent.

  • name (str) –

    Required. The resource name referring to the content cache entry Format: cachedContents/{id}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CacheServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CacheServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CacheServiceAsyncClient

async get_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.GetCachedContentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.types.cached_content.CachedContent[source]

Reads CachedContent resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

async def sample_get_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceAsyncClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.GetCachedContentRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_cached_content(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.ai.generativelanguage_v1beta.types.GetCachedContentRequest, dict]]) – The request object. Request to read CachedContent.

  • name (str) –

    Required. The resource name referring to the content cache entry. Format: cachedContents/{id}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Content that has been preprocessed and can be used in subsequent request to GenerativeService.

Cached content can be only used with model it was created for.

Return type

google.ai.generativelanguage_v1beta.types.CachedContent

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

classmethod get_transport_class(label: Optional[str] = None) → Type[google.ai.generativelanguage_v1beta.services.cache_service.transports.base.CacheServiceTransport]

Returns an appropriate transport class.

Parameters

label – The name of the desired transport. If none is provided, then the first transport in the registry is used.

Returns

The transport class to use.

async list_cached_contents(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.services.cache_service.pagers.ListCachedContentsAsyncPager[source]

Lists CachedContents.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

async def sample_list_cached_contents():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceAsyncClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.ListCachedContentsRequest(
    )

    # Make the request
    page_result = client.list_cached_contents(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[Union[google.ai.generativelanguage_v1beta.types.ListCachedContentsRequest, dict]]) – The request object. Request to list CachedContents.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response with CachedContents list.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.ai.generativelanguage_v1beta.services.cache_service.pagers.ListCachedContentsAsyncPager

static model_path(model: str) → str

Returns a fully-qualified model string.

static parse_cached_content_path(path: str) → Dict[str, str]

Parses a cached_content path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]

Parse a project path into its component segments.

static parse_model_path(path: str) → Dict[str, str]

Parses a model path into its component segments.

property transport: google.ai.generativelanguage_v1beta.services.cache_service.transports.base.CacheServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

CacheServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used

by the client instance.

Return type

str

async update_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.UpdateCachedContentRequest, dict]] = None, *, cached_content: Optional[google.ai.generativelanguage_v1beta.types.cached_content.CachedContent] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.types.cached_content.CachedContent[source]

Updates CachedContent resource (only expiration is updatable).

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

async def sample_update_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceAsyncClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.UpdateCachedContentRequest(
    )

    # Make the request
    response = await client.update_cached_content(request=request)

    # Handle the response
    print(response)
Parameters
Returns

Content that has been preprocessed and can be used in subsequent request to GenerativeService.

Cached content can be only used with model it was created for.

Return type

google.ai.generativelanguage_v1beta.types.CachedContent

class google.ai.generativelanguage_v1beta.services.cache_service.CacheServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.ai.generativelanguage_v1beta.services.cache_service.transports.base.CacheServiceTransport, typing.Callable[[...], google.ai.generativelanguage_v1beta.services.cache_service.transports.base.CacheServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

API for managing cache of content (CachedContent resources) that can be used in GenerativeService requests. This way generate content requests can benefit from preprocessing work being done earlier, possibly lowering their computational cost. It is intended to be used with large contexts.

Instantiates the cache service client.

Parameters

  • credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

  • transport (Optional[Union[str,CacheServiceTransport,Callable[..., CacheServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the CacheServiceTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]

Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

static cached_content_path(id: str) → str[source]

Returns a fully-qualified cached_content string.

static common_billing_account_path(billing_account: str) → str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]

Returns a fully-qualified project string.

create_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.CreateCachedContentRequest, dict]] = None, *, cached_content: Optional[google.ai.generativelanguage_v1beta.types.cached_content.CachedContent] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.types.cached_content.CachedContent[source]

Creates CachedContent resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

def sample_create_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.CreateCachedContentRequest(
    )

    # Make the request
    response = client.create_cached_content(request=request)

    # Handle the response
    print(response)
Parameters
Returns

Content that has been preprocessed and can be used in subsequent request to GenerativeService.

Cached content can be only used with model it was created for.

Return type

google.ai.generativelanguage_v1beta.types.CachedContent

delete_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.DeleteCachedContentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

Deletes CachedContent resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

def sample_delete_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.DeleteCachedContentRequest(
        name="name_value",
    )

    # Make the request
    client.delete_cached_content(request=request)
Parameters

  • request (Union[google.ai.generativelanguage_v1beta.types.DeleteCachedContentRequest, dict]) – The request object. Request to delete CachedContent.

  • name (str) –

    Required. The resource name referring to the content cache entry Format: cachedContents/{id}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CacheServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CacheServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CacheServiceClient

get_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.GetCachedContentRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.types.cached_content.CachedContent[source]

Reads CachedContent resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

def sample_get_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.GetCachedContentRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_cached_content(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Union[google.ai.generativelanguage_v1beta.types.GetCachedContentRequest, dict]) – The request object. Request to read CachedContent.

  • name (str) –

    Required. The resource name referring to the content cache entry. Format: cachedContents/{id}

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Content that has been preprocessed and can be used in subsequent request to GenerativeService.

Cached content can be only used with model it was created for.

Return type

google.ai.generativelanguage_v1beta.types.CachedContent

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

list_cached_contents(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.services.cache_service.pagers.ListCachedContentsPager[source]

Lists CachedContents.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

def sample_list_cached_contents():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.ListCachedContentsRequest(
    )

    # Make the request
    page_result = client.list_cached_contents(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Returns

Response with CachedContents list.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.ai.generativelanguage_v1beta.services.cache_service.pagers.ListCachedContentsPager

static model_path(model: str) → str[source]

Returns a fully-qualified model string.

static parse_cached_content_path(path: str) → Dict[str, str][source]

Parses a cached_content path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str][source]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]

Parse a project path into its component segments.

static parse_model_path(path: str) → Dict[str, str][source]

Parses a model path into its component segments.

property transport: google.ai.generativelanguage_v1beta.services.cache_service.transports.base.CacheServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

CacheServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used by the client instance.

Return type

str

update_cached_content(request: Optional[Union[google.ai.generativelanguage_v1beta.types.cache_service.UpdateCachedContentRequest, dict]] = None, *, cached_content: Optional[google.ai.generativelanguage_v1beta.types.cached_content.CachedContent] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.ai.generativelanguage_v1beta.types.cached_content.CachedContent[source]

Updates CachedContent resource (only expiration is updatable).

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.ai import generativelanguage_v1beta

def sample_update_cached_content():
    # Create a client
    client = generativelanguage_v1beta.CacheServiceClient()

    # Initialize request argument(s)
    request = generativelanguage_v1beta.UpdateCachedContentRequest(
    )

    # Make the request
    response = client.update_cached_content(request=request)

    # Handle the response
    print(response)
Parameters
Returns

Content that has been preprocessed and can be used in subsequent request to GenerativeService.

Cached content can be only used with model it was created for.

Return type

google.ai.generativelanguage_v1beta.types.CachedContent

class google.ai.generativelanguage_v1beta.services.cache_service.pagers.ListCachedContentsAsyncPager(method: Callable[[...], Awaitable[google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsResponse]], request: google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsRequest, response: google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_cached_contents requests.

This class thinly wraps an initial google.ai.generativelanguage_v1beta.types.ListCachedContentsResponse object, and provides an __aiter__ method to iterate through its cached_contents field.

If there are more pages, the __aiter__ method will make additional ListCachedContents requests and continue to iterate through the cached_contents field on the corresponding responses.

All the usual google.ai.generativelanguage_v1beta.types.ListCachedContentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.ai.generativelanguage_v1beta.services.cache_service.pagers.ListCachedContentsPager(method: Callable[[...], google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsResponse], request: google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsRequest, response: google.ai.generativelanguage_v1beta.types.cache_service.ListCachedContentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_cached_contents requests.

This class thinly wraps an initial google.ai.generativelanguage_v1beta.types.ListCachedContentsResponse object, and provides an __iter__ method to iterate through its cached_contents field.

If there are more pages, the __iter__ method will make additional ListCachedContents requests and continue to iterate through the cached_contents field on the corresponding responses.

All the usual google.ai.generativelanguage_v1beta.types.ListCachedContentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters