Class AgentsClient (1.33.0) 

AgentsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3.services.agents.transports.base.AgentsTransport]] = 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 Agents.

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
AgentsTransport 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

AgentsClient

AgentsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3.services.agents.transports.base.AgentsTransport]] = 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 agents 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, AgentsTransport]

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. 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.
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.

agent_generative_settings_path

agent_generative_settings_path(project: str, location: str, agent: str) -> str

Returns a fully-qualified agent_generative_settings string.

agent_path

agent_path(project: str, location: str, agent: str) -> str

Returns a fully-qualified agent string.

agent_validation_result_path

agent_validation_result_path(project: str, location: str, agent: str) -> str

Returns a fully-qualified agent_validation_result string.

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, 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 .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation method.
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_agent

create_agent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3.types.agent.CreateAgentRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    agent: typing.Optional[google.cloud.dialogflowcx_v3.types.agent.Agent] = 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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.agent.Agent

Creates an agent in the specified location.

Note: You should always train flows prior to sending them 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_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    agent = dialogflowcx_v3.Agent()
    agent.display_name = "display_name_value"
    agent.default_language_code = "default_language_code_value"
    agent.time_zone = "time_zone_value"

    request = dialogflowcx_v3.CreateAgentRequest(
        parent="parent_value",
        agent=agent,
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.CreateAgentRequest, dict]

The request object. The request message for Agents.CreateAgent.
parent str

Required. The location to create a agent for. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
agent google.cloud.dialogflowcx_v3.types.Agent

Required. The agent to create. This corresponds to the agent 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
Type Description
google.cloud.dialogflowcx_v3.types.Agent Agents are best described as Natural Language Understanding (NLU) modules that transform user requests into actionable data. You can include agents in your app, product, or service to determine user intent and respond to the user in a natural way. After you create an agent, you can add Intents, [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], Flows, Fulfillments, Webhooks, TransitionRouteGroups and so on to manage the conversation flows.

delete_agent

delete_agent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3.types.agent.DeleteAgentRequest, 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, str]] = ()
) -> None

Deletes 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_delete_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.DeleteAgentRequest(
        name="name_value",
    )

    # Make the request
    client.delete_agent(request=request)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.DeleteAgentRequest, dict]

The request object. The request message for Agents.DeleteAgent.
name str

Required. The name of the agent to delete. Format: projects/. 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.

environment_path

environment_path(project: str, location: str, agent: str, environment: str) -> str

Returns a fully-qualified environment string.

export_agent

export_agent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3.types.agent.ExportAgentRequest, dict]
    ] = 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, str]] = ()
) -> google.api_core.operation.Operation

Exports the specified agent to a binary file.

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: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: xref_ExportAgentResponse
# 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_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.ExportAgentRequest(
        name="name_value",
    )

    # Make the request
    operation = client.export_agent(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.ExportAgentRequest, dict]

The request object. The request message for Agents.ExportAgent.
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 ExportAgentResponse The response message for Agents.ExportAgent.

flow_path

flow_path(project: str, location: str, agent: str, flow: str) -> str

Returns a fully-qualified flow string.

flow_validation_result_path

flow_validation_result_path(
    project: str, location: str, agent: str, flow: str
) -> str

Returns a fully-qualified flow_validation_result string.

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
AgentsClient 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
AgentsClient 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
AgentsClient The constructed client.

get_agent

get_agent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3.types.agent.GetAgentRequest, 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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.agent.Agent

Retrieves 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_get_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.GetAgentRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.GetAgentRequest, dict]

The request object. The request message for Agents.GetAgent.
name str

Required. The name of the agent. Format: projects/. 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
Type Description
google.cloud.dialogflowcx_v3.types.Agent Agents are best described as Natural Language Understanding (NLU) modules that transform user requests into actionable data. You can include agents in your app, product, or service to determine user intent and respond to the user in a natural way. After you create an agent, you can add Intents, [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], Flows, Fulfillments, Webhooks, TransitionRouteGroups and so on to manage the conversation flows.

get_agent_validation_result

get_agent_validation_result(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3.types.agent.GetAgentValidationResultRequest,
            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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.agent.AgentValidationResult

Gets the latest agent validation result. Agent validation is performed when ValidateAgent is called.

# 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_agent_validation_result():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.GetAgentValidationResultRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.GetAgentValidationResultRequest, dict]

The request object. The request message for Agents.GetAgentValidationResult.
name str

Required. The agent name. Format: projects/. 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
Type Description
google.cloud.dialogflowcx_v3.types.AgentValidationResult The response message for Agents.GetAgentValidationResult.

get_generative_settings

get_generative_settings(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3.types.agent.GetGenerativeSettingsRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    language_code: 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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings

Gets the generative settings for the 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_get_generative_settings():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.GetGenerativeSettingsRequest(
        name="name_value",
        language_code="language_code_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.GetGenerativeSettingsRequest, dict]

The request object. Request for GetGenerativeSettings RPC.
name str

Required. Format: projects/. This corresponds to the name field on the request instance; if request is provided, this should not be set.
language_code str

Required. Language code of the generative settings. This corresponds to the language_code 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
Type Description
google.cloud.dialogflowcx_v3.types.GenerativeSettings Settings for Generative AI.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = 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, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name Description
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation method.
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_pb2.Location 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,
)

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.

Parameter
Name Description
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.
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.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, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.GetOperationRequest

The request object. Request message for GetOperation method.
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
.operations_pb2.Operation An Operation object.

list_agents

list_agents(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3.types.agent.ListAgentsRequest, dict]
    ] = None,
    *,
    parent: 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, str]] = ()
) -> google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsPager

Returns the list of all agents in the specified location.

# 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_agents():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.ListAgentsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.ListAgentsRequest, dict]

The request object. The request message for Agents.ListAgents.
parent str

Required. The location to list all agents for. Format: projects/. This corresponds to the parent 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
Type Description
google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsPager The response message for Agents.ListAgents. 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.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, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name Description
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations method.
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_pb2.ListLocationsResponse Response message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = 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, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name Description
request .operations_pb2.ListOperationsRequest

The request object. Request message for ListOperations method.
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
.operations_pb2.ListOperationsResponse Response message for ListOperations method.

parse_agent_generative_settings_path

parse_agent_generative_settings_path(path: str) -> typing.Dict[str, str]

Parses a agent_generative_settings path into its component segments.

parse_agent_path

parse_agent_path(path: str) -> typing.Dict[str, str]

Parses a agent path into its component segments.

parse_agent_validation_result_path

parse_agent_validation_result_path(path: str) -> typing.Dict[str, str]

Parses a agent_validation_result path into its component segments.

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_environment_path

parse_environment_path(path: str) -> typing.Dict[str, str]

Parses a environment path into its component segments.

parse_flow_path

parse_flow_path(path: str) -> typing.Dict[str, str]

Parses a flow path into its component segments.

parse_flow_validation_result_path

parse_flow_validation_result_path(path: str) -> typing.Dict[str, str]

Parses a flow_validation_result path into its component segments.

parse_security_settings_path

parse_security_settings_path(path: str) -> typing.Dict[str, str]

Parses a security_settings path into its component segments.

restore_agent

restore_agent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3.types.agent.RestoreAgentRequest, dict]
    ] = 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, str]] = ()
) -> google.api_core.operation.Operation

Restores the specified agent from a binary file.

Replaces the current agent with a new one. Note that all existing resources in agent (e.g. intents, entity types, flows) will be removed.

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: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

Note: You should always train flows prior to sending them 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_restore_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.RestoreAgentRequest(
        agent_uri="agent_uri_value",
        name="name_value",
    )

    # Make the request
    operation = client.restore_agent(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.RestoreAgentRequest, dict]

The request object. The request message for Agents.RestoreAgent.
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 google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

security_settings_path

security_settings_path(project: str, location: str, security_settings: str) -> str

Returns a fully-qualified security_settings string.

update_agent

update_agent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3.types.agent.UpdateAgentRequest, dict]
    ] = None,
    *,
    agent: typing.Optional[google.cloud.dialogflowcx_v3.types.agent.Agent] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = 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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.agent.Agent

Updates the specified agent.

Note: You should always train flows prior to sending them 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_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    agent = dialogflowcx_v3.Agent()
    agent.display_name = "display_name_value"
    agent.default_language_code = "default_language_code_value"
    agent.time_zone = "time_zone_value"

    request = dialogflowcx_v3.UpdateAgentRequest(
        agent=agent,
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.UpdateAgentRequest, dict]

The request object. The request message for Agents.UpdateAgent.
agent google.cloud.dialogflowcx_v3.types.Agent

Required. The agent to update. This corresponds to the agent field on the request instance; if request is provided, this should not be set.
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 update_mask 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
Type Description
google.cloud.dialogflowcx_v3.types.Agent Agents are best described as Natural Language Understanding (NLU) modules that transform user requests into actionable data. You can include agents in your app, product, or service to determine user intent and respond to the user in a natural way. After you create an agent, you can add Intents, [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], Flows, Fulfillments, Webhooks, TransitionRouteGroups and so on to manage the conversation flows.

update_generative_settings

update_generative_settings(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3.types.agent.UpdateGenerativeSettingsRequest,
            dict,
        ]
    ] = None,
    *,
    generative_settings: typing.Optional[
        google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = 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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings

Updates the generative settings for the 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_update_generative_settings():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.UpdateGenerativeSettingsRequest(
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.UpdateGenerativeSettingsRequest, dict]

The request object. Request for UpdateGenerativeSettings RPC.
generative_settings google.cloud.dialogflowcx_v3.types.GenerativeSettings

Required. Generative settings to update. This corresponds to the generative_settings field on the request instance; if request is provided, this should not be set.
update_mask google.protobuf.field_mask_pb2.FieldMask

Optional. The mask to control which fields get updated. If the mask is not present, all fields will be updated. This corresponds to the update_mask 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
Type Description
google.cloud.dialogflowcx_v3.types.GenerativeSettings Settings for Generative AI.

validate_agent

validate_agent(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3.types.agent.ValidateAgentRequest, dict
        ]
    ] = 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, str]] = ()
) -> google.cloud.dialogflowcx_v3.types.agent.AgentValidationResult

Validates the specified agent and creates or updates validation results. The agent in draft version is validated. Please call this API after the training is completed to get the complete validation results.

# 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_validate_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.ValidateAgentRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3.types.ValidateAgentRequest, dict]

The request object. The request message for Agents.ValidateAgent.
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.AgentValidationResult The response message for Agents.GetAgentValidationResult.