GeneratorsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.generators.transports.base.GeneratorsTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.generators.transports.base.GeneratorsTransport]]] = 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>)
Generator Service for LLM powered Agent Assist. This service manages the configurations of user owned Generators, such as description, context and instruction, input/output format, etc. The generator resources will be used inside a conversation and will be triggered by TriggerEvent to query LLM for answers.
Properties
api_endpoint
Return the API endpoint used by the client instance.
Returns | |
---|---|
Type | Description |
str |
The API endpoint used by the client instance. |
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
GeneratorsTransport |
The transport used by the client instance. |
universe_domain
Return the universe domain used by the client instance.
Returns | |
---|---|
Type | Description |
str |
The universe domain used by the client instance. |
Methods
GeneratorsClient
GeneratorsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.generators.transports.base.GeneratorsTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.generators.transports.base.GeneratorsTransport]]] = 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>)
Instantiates the generators client.
Parameters | |
---|---|
Name | Description |
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,GeneratorsTransport,Callable[..., GeneratorsTransport]]]
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 GeneratorsTransport 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 |
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 |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError |
If mutual TLS transport creation failed for any reason. |
__exit__
__exit__(type, value, traceback)
Releases underlying transport's resources.
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None
Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success
is not guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
common_billing_account_path
common_billing_account_path(billing_account: str) -> str
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str) -> str
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str) -> str
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str) -> str
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str) -> str
Returns a fully-qualified project string.
create_generator
create_generator(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2beta1.types.generator.CreateGeneratorRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
generator: typing.Optional[
google.cloud.dialogflow_v2beta1.types.generator.Generator
] = None,
generator_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2beta1.types.generator.Generator
Creates a generator.
# 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.cloud import dialogflow_v2beta1
def sample_create_generator():
# Create a client
client = dialogflow_v2beta1.GeneratorsClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.CreateGeneratorRequest(
parent="parent_value",
)
# Make the request
response = client.create_generator(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.CreateGeneratorRequest, dict]
The request object. Request message of CreateGenerator. |
parent |
str
Required. The project/location to create generator for. Format: |
generator |
google.cloud.dialogflow_v2beta1.types.Generator
Required. The generator to create. This corresponds to the |
generator_id |
str
Optional. The ID to use for the generator, which will become the final component of the generator's resource name. The generator ID must be compliant with the regression formula |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2beta1.types.Generator |
LLM generator. |
delete_generator
delete_generator(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2beta1.types.generator.DeleteGeneratorRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None
Deletes a generator.
# 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.cloud import dialogflow_v2beta1
def sample_delete_generator():
# Create a client
client = dialogflow_v2beta1.GeneratorsClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.DeleteGeneratorRequest(
name="name_value",
)
# Make the request
client.delete_generator(request=request)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.DeleteGeneratorRequest, dict]
The request object. Request of DeleteGenerator. |
name |
str
Required. The generator resource name to delete. Format: |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
GeneratorsClient |
The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
GeneratorsClient |
The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
GeneratorsClient |
The constructed client. |
generator_path
generator_path(project: str, location: str, generator: str) -> str
Returns a fully-qualified generator string.
get_generator
get_generator(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2beta1.types.generator.GetGeneratorRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2beta1.types.generator.Generator
Retrieves a generator.
# 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.cloud import dialogflow_v2beta1
def sample_get_generator():
# Create a client
client = dialogflow_v2beta1.GeneratorsClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.GetGeneratorRequest(
name="name_value",
)
# Make the request
response = client.get_generator(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.GetGeneratorRequest, dict]
The request object. Request message of GetGenerator. |
name |
str
Required. The generator resource name to retrieve. Format: |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2beta1.types.Generator |
LLM generator. |