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IntentsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3.services.intents.transports.base.IntentsTransport]] = 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>)
Service for managing Intents.
Properties
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
IntentsTransport | The transport used by the client instance. |
Methods
IntentsClient
IntentsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3.services.intents.transports.base.IntentsTransport]] = 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 intents 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 |
Union[str, IntentsTransport]
The transport to use. 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. It won't take effect if a |
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.Union[
google.api_core.retry.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, str]] = ()
) -> 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, str]]
Strings which should be sent along with the request as metadata. |
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_intent
create_intent(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3.types.intent.CreateIntentRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
intent: typing.Optional[google.cloud.dialogflowcx_v3.types.intent.Intent] = None,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.intent.Intent
Creates an intent in the specified agent.
Note: You should always train a flow prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>
__.
# 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 dialogflowcx_v3
def sample_create_intent():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
intent = dialogflowcx_v3.Intent()
intent.display_name = "display_name_value"
request = dialogflowcx_v3.CreateIntentRequest(
parent="parent_value",
intent=intent,
)
# Make the request
response = client.create_intent(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.CreateIntentRequest, dict]
The request object. The request message for Intents.CreateIntent. |
parent |
str
Required. The agent to create an intent for. Format: |
intent |
google.cloud.dialogflowcx_v3.types.Intent
Required. The intent to create. This corresponds to the |
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 | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.types.Intent | An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent. |
delete_intent
delete_intent(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3.types.intent.DeleteIntentRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> None
Deletes the specified intent.
Note: You should always train a flow prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>
__.
# 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 dialogflowcx_v3
def sample_delete_intent():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.DeleteIntentRequest(
name="name_value",
)
# Make the request
client.delete_intent(request=request)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.DeleteIntentRequest, dict]
The request object. The request message for Intents.DeleteIntent. |
name |
str
Required. The name of the intent 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, str]]
Strings which should be sent along with the request as metadata. |
entity_type_path
entity_type_path(project: str, location: str, agent: str, entity_type: str) -> str
Returns a fully-qualified entity_type string.
export_intents
export_intents(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3.types.intent.ExportIntentsRequest, dict
]
] = None,
*,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.api_core.operation.Operation
Exports the selected intents.
This method is a long-running
operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: xref_ExportIntentsMetadataresponse
: xref_ExportIntentsResponse
# 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 dialogflowcx_v3
def sample_export_intents():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ExportIntentsRequest(
intents_uri="intents_uri_value",
parent="parent_value",
intents=['intents_value1', 'intents_value2'],
)
# Make the request
operation = client.export_intents(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.ExportIntentsRequest, dict]
The request object. The request message for Intents.ExportIntents. |
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 | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be ExportIntentsResponse The response message for Intents.ExportIntents. |
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 |
IntentsClient | 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 |
IntentsClient | 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 |
IntentsClient | The constructed client. |
get_intent
get_intent(
request: typing.Optional[
typing.Union[google.cloud.dialogflowcx_v3.types.intent.GetIntentRequest, dict]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.intent.Intent
Retrieves the specified intent.
# 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 dialogflowcx_v3
def sample_get_intent():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.GetIntentRequest(
name="name_value",
)
# Make the request
response = client.get_intent(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.GetIntentRequest, dict]
The request object. The request message for Intents.GetIntent. |
name |
str
Required. The name of the intent. 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.types.Intent | An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent. |
get_location
get_location(
request: typing.Optional[
google.cloud.location.locations_pb2.GetLocationRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.cloud.location.locations_pb2.Location
Gets information about a location.
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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| Location object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.ClientOptions
] = None,
)
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.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_operation
get_operation(
request: typing.Optional[
google.longrunning.operations_pb2.GetOperationRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.longrunning.operations_pb2.Operation
Gets the latest state of a long-running operation.
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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| An Operation object. |
import_intents
import_intents(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3.types.intent.ImportIntentsRequest, dict
]
] = None,
*,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.api_core.operation.Operation
Imports the specified intents into the agent.
This method is a long-running
operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: xref_ImportIntentsMetadataresponse
: xref_ImportIntentsResponse
# 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 dialogflowcx_v3
def sample_import_intents():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ImportIntentsRequest(
intents_uri="intents_uri_value",
parent="parent_value",
)
# Make the request
operation = client.import_intents(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.ImportIntentsRequest, dict]
The request object. The request message for Intents.ImportIntents. |
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 | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be ImportIntentsResponse The response message for Intents.ImportIntents. |
intent_path
intent_path(project: str, location: str, agent: str, intent: str) -> str
Returns a fully-qualified intent string.
list_intents
list_intents(
request: typing.Optional[
typing.Union[google.cloud.dialogflowcx_v3.types.intent.ListIntentsRequest, dict]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.cloud.dialogflowcx_v3.services.intents.pagers.ListIntentsPager
Returns the list of all intents in the specified agent.
# 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 dialogflowcx_v3
def sample_list_intents():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ListIntentsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_intents(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.ListIntentsRequest, dict]
The request object. The request message for Intents.ListIntents. |
parent |
str
Required. The agent to list all intents for. 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.services.intents.pagers.ListIntentsPager | The response message for Intents.ListIntents. Iterating over this object will yield results and resolve additional pages automatically. |
list_locations
list_locations(
request: typing.Optional[
google.cloud.location.locations_pb2.ListLocationsRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse
Lists information about the supported locations for this service.
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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| Response message for ListLocations method. |
list_operations
list_operations(
request: typing.Optional[
google.longrunning.operations_pb2.ListOperationsRequest
] = None,
*,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse
Lists operations that match the specified filter in the request.
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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
| Response message for ListOperations method. |
parse_common_billing_account_path
parse_common_billing_account_path(path: str) -> typing.Dict[str, str]
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str) -> typing.Dict[str, str]
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str) -> typing.Dict[str, str]
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str) -> typing.Dict[str, str]
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str) -> typing.Dict[str, str]
Parse a project path into its component segments.
parse_entity_type_path
parse_entity_type_path(path: str) -> typing.Dict[str, str]
Parses a entity_type path into its component segments.
parse_intent_path
parse_intent_path(path: str) -> typing.Dict[str, str]
Parses a intent path into its component segments.
update_intent
update_intent(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3.types.intent.UpdateIntentRequest, dict
]
] = None,
*,
intent: typing.Optional[google.cloud.dialogflowcx_v3.types.intent.Intent] = None,
update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
retry: typing.Union[
google.api_core.retry.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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.intent.Intent
Updates the specified intent.
Note: You should always train a flow prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>
__.
# 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 dialogflowcx_v3
def sample_update_intent():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
intent = dialogflowcx_v3.Intent()
intent.display_name = "display_name_value"
request = dialogflowcx_v3.UpdateIntentRequest(
intent=intent,
)
# Make the request
response = client.update_intent(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.UpdateIntentRequest, dict]
The request object. The request message for Intents.UpdateIntent. |
intent |
google.cloud.dialogflowcx_v3.types.Intent
Required. The intent to update. This corresponds to the |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
The mask to control which fields get updated. If the mask is not present, all fields will be updated. This corresponds to the |
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 | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.types.Intent | An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent. |