Class AgentsClient (1.13.1)

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

Service for managing Agents.

Inheritance

builtins.object > AgentsClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
AgentsTransportThe transport used by the client instance.

Methods

AgentsClient

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

Instantiates the agents client.

Parameters
NameDescription
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 google.api_core.client_options.ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS 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.

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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

agent_path

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

Returns a fully-qualified agent string.

agent_validation_result_path

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

Returns a fully-qualified agent_validation_result string.

cancel_operation

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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
NameDescription
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)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_agent

create_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.CreateAgentRequest, dict]] = None, *, parent: Optional[str] = None, agent: Optional[google.cloud.dialogflowcx_v3.types.agent.Agent] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

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
NameDescription
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/<Project ID>/locations/<Location ID>. 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
TypeDescription
google.cloud.dialogflowcx_v3.types.AgentAgents 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, and so on to manage the conversation flows..

delete_agent

delete_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.DeleteAgentRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes the specified agent.

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
NameDescription
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/<Project ID>/locations/<Location ID>/agents/<Agent 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.

environment_path

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

Returns a fully-qualified environment string.

export_agent

export_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.ExportAgentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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
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
NameDescription
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
TypeDescription
google.api_core.operation.OperationAn 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)

Returns a fully-qualified flow string.

flow_validation_result_path

flow_validation_result_path(project: str, location: str, agent: str, flow: 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
AgentsClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
AgentsClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
AgentsClientThe constructed client.

get_agent

get_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.GetAgentRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specified agent.

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
NameDescription
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/<Project ID>/locations/<Location ID>/agents/<Agent 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
TypeDescription
google.cloud.dialogflowcx_v3.types.AgentAgents 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, and so on to manage the conversation flows..

get_agent_validation_result

get_agent_validation_result(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.GetAgentValidationResultRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

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
NameDescription
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/<Project ID>/locations/<Location ID>/agents/<Agent ID>/validationResult. 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
TypeDescription
google.cloud.dialogflowcx_v3.types.AgentValidationResultThe response message for Agents.GetAgentValidationResult.

get_location

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets information about a location.

Parameters
NameDescription
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
TypeDescription
`.location_pb2.Location`Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_operation

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets the latest state of a long-running operation.

Parameters
NameDescription
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
TypeDescription
`.operations_pb2.Operation`An ``Operation`` object.

list_agents

list_agents(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.ListAgentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all agents in the specified location.

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
NameDescription
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/<Project ID>/locations/<Location ID>. 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
TypeDescription
google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsPagerThe response message for Agents.ListAgents. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists information about the supported locations for this service.

Parameters
NameDescription
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
TypeDescription
`.location_pb2.ListLocationsResponse`Response message for ``ListLocations`` method.

list_operations

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists operations that match the specified filter in the request.

Parameters
NameDescription
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
TypeDescription
`.operations_pb2.ListOperationsResponse`Response message for ``ListOperations`` method.

parse_agent_path

parse_agent_path(path: str)

Parses a agent path into its component segments.

parse_agent_validation_result_path

parse_agent_validation_result_path(path: str)

Parses a agent_validation_result path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_environment_path

parse_environment_path(path: str)

Parses a environment path into its component segments.

parse_flow_path

parse_flow_path(path: str)

Parses a flow path into its component segments.

parse_flow_validation_result_path

parse_flow_validation_result_path(path: str)

Parses a flow_validation_result path into its component segments.

parse_security_settings_path

parse_security_settings_path(path: str)

Parses a security_settings path into its component segments.

restore_agent

restore_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.RestoreAgentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

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
NameDescription
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
TypeDescription
google.api_core.operation.OperationAn 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)

Returns a fully-qualified security_settings string.

update_agent

update_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.UpdateAgentRequest, dict]] = None, *, agent: Optional[google.cloud.dialogflowcx_v3.types.agent.Agent] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

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
NameDescription
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
TypeDescription
google.cloud.dialogflowcx_v3.types.AgentAgents 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, and so on to manage the conversation flows..

validate_agent

validate_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.ValidateAgentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

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
NameDescription
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
TypeDescription
google.cloud.dialogflowcx_v3.types.AgentValidationResultThe response message for Agents.GetAgentValidationResult.