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

Agents

class google.cloud.dialogflowcx_v3.services.agents.AgentsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3.services.agents.transports.base.AgentsTransport, typing.Callable[[...], google.cloud.dialogflowcx_v3.services.agents.transports.base.AgentsTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

Service for managing [Agents][google.cloud.dialogflow.cx.v3.Agent].

Instantiates the agents async client.

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

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

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

    Custom options for the client.

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

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

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

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

Raises

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

static agent_generative_settings_path(project: str, location: str, agent: str) str

Returns a fully-qualified agent_generative_settings string.

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

Returns a fully-qualified agent string.

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

Returns a fully-qualified agent_validation_result string.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

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

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
  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

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

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

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

Returns

None

static common_billing_account_path(billing_account: str) str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) str

Returns a fully-qualified folder string.

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

Returns a fully-qualified location string.

static common_organization_path(organization: str) str

Returns a fully-qualified organization string.

static common_project_path(project: str) str

Returns a fully-qualified project string.

async create_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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.agent.Agent[source]

Creates an agent in the specified location.

Note: You should always train flows prior to sending them queries. See the training documentation.

# 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

async def sample_create_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

    # 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 = await client.create_agent(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.CreateAgentRequest, dict]]) – The request object. The request message for [Agents.CreateAgent][google.cloud.dialogflow.cx.v3.Agents.CreateAgent].

  • parent (str) –

    Required. The location to create a agent for. Format: projects/<ProjectID>/locations/<LocationID>.

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

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

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

Returns

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][google.cloud.dialogflow.cx.v3.Intent], [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], [Flows][google.cloud.dialogflow.cx.v3.Flow], [Fulfillments][google.cloud.dialogflow.cx.v3.Fulfillment], [Webhooks][google.cloud.dialogflow.cx.v3.Webhook], [TransitionRouteGroups][google.cloud.dialogflow.cx.v3.TransitionRouteGroup] and so on to manage the conversation flows.

Return type

google.cloud.dialogflowcx_v3.types.Agent

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

Deletes 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

async def sample_delete_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

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

    # Make the request
    await client.delete_agent(request=request)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.DeleteAgentRequest, dict]]) – The request object. The request message for [Agents.DeleteAgent][google.cloud.dialogflow.cx.v3.Agents.DeleteAgent].

  • name (str) –

    Required. The name of the agent to delete. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>.

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

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

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

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

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

Returns a fully-qualified environment string.

async export_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.ExportAgentRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation_async.AsyncOperation[source]

Exports the specified agent to a binary file.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message

  • response: [ExportAgentResponse][google.cloud.dialogflow.cx.v3.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

async def sample_export_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.ExportAgentRequest, dict]]) – The request object. The request message for [Agents.ExportAgent][google.cloud.dialogflow.cx.v3.Agents.ExportAgent].

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

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

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

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dialogflowcx_v3.types.ExportAgentResponse The response message for

[Agents.ExportAgent][google.cloud.dialogflow.cx.v3.Agents.ExportAgent].

Return type

google.api_core.operation_async.AsyncOperation

static flow_path(project: str, location: str, agent: str, flow: str) str

Returns a fully-qualified flow string.

static flow_validation_result_path(project: str, location: str, agent: str, flow: str) str

Returns a fully-qualified flow_validation_result string.

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

file.

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

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsAsyncClient

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

info.

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

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsAsyncClient

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

file.

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

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsAsyncClient

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

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

async def sample_get_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.GetAgentRequest, dict]]) – The request object. The request message for [Agents.GetAgent][google.cloud.dialogflow.cx.v3.Agents.GetAgent].

  • name (str) –

    Required. The name of the agent. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>.

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

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

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

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

Returns

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][google.cloud.dialogflow.cx.v3.Intent], [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], [Flows][google.cloud.dialogflow.cx.v3.Flow], [Fulfillments][google.cloud.dialogflow.cx.v3.Fulfillment], [Webhooks][google.cloud.dialogflow.cx.v3.Webhook], [TransitionRouteGroups][google.cloud.dialogflow.cx.v3.TransitionRouteGroup] and so on to manage the conversation flows.

Return type

google.cloud.dialogflowcx_v3.types.Agent

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

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

async def sample_get_agent_validation_result():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.GetAgentValidationResultRequest, dict]]) – The request object. The request message for [Agents.GetAgentValidationResult][google.cloud.dialogflow.cx.v3.Agents.GetAgentValidationResult].

  • name (str) –

    Required. The agent name. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

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

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

Returns

The response message for

[Agents.GetAgentValidationResult][google.cloud.dialogflow.cx.v3.Agents.GetAgentValidationResult].

Return type

google.cloud.dialogflowcx_v3.types.AgentValidationResult

async get_generative_settings(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.GetGenerativeSettingsRequest, dict]] = None, *, name: Optional[str] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings[source]

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

async def sample_get_generative_settings():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.GetGenerativeSettingsRequest, dict]]) – The request object. Request for [GetGenerativeSettings][google.cloud.dialogflow.cx.v3.Agents.GetGenerativeSettings] RPC.

  • name (str) –

    Required. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/generativeSettings.

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

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

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

Returns

Settings for Generative AI.

Return type

google.cloud.dialogflowcx_v3.types.GenerativeSettings

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

Gets information about a location.

Parameters
  • request (GetLocationRequest) – The request object. Request message for GetLocation method.

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

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

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

Returns

Location object.

Return type

Location

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

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

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

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

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

Parameters

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

Returns

returns the API endpoint and the

client cert source to use.

Return type

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

Raises

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

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters
  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

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

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

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

Returns

An Operation object.

Return type

Operation

classmethod get_transport_class(label: Optional[str] = None) Type[google.cloud.dialogflowcx_v3.services.agents.transports.base.AgentsTransport]

Returns an appropriate transport class.

Parameters

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

Returns

The transport class to use.

async list_agents(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.ListAgentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsAsyncPager[source]

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

async def sample_list_agents():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.ListAgentsRequest, dict]]) – The request object. The request message for [Agents.ListAgents][google.cloud.dialogflow.cx.v3.Agents.ListAgents].

  • parent (str) –

    Required. The location to list all agents for. Format: projects/<ProjectID>/locations/<LocationID>.

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

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

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

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

Returns

The response message for

[Agents.ListAgents][google.cloud.dialogflow.cx.v3.Agents.ListAgents].

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

Return type

google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsAsyncPager

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

Lists information about the supported locations for this service.

Parameters
  • request (ListLocationsRequest) – The request object. Request message for ListLocations method.

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

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

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

Returns

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters
  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

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

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

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

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_agent_generative_settings_path(path: str) Dict[str, str]

Parses a agent_generative_settings path into its component segments.

static parse_agent_path(path: str) Dict[str, str]

Parses a agent path into its component segments.

static parse_agent_validation_result_path(path: str) Dict[str, str]

Parses a agent_validation_result path into its component segments.

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

Parse a billing_account path into its component segments.

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

Parse a folder path into its component segments.

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

Parse a location path into its component segments.

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

Parse a organization path into its component segments.

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

Parse a project path into its component segments.

static parse_environment_path(path: str) Dict[str, str]

Parses a environment path into its component segments.

static parse_flow_path(path: str) Dict[str, str]

Parses a flow path into its component segments.

static parse_flow_validation_result_path(path: str) Dict[str, str]

Parses a flow_validation_result path into its component segments.

static parse_secret_version_path(path: str) Dict[str, str]

Parses a secret_version path into its component segments.

static parse_security_settings_path(path: str) Dict[str, str]

Parses a security_settings path into its component segments.

async restore_agent(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.RestoreAgentRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation_async.AsyncOperation[source]

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. The returned Operation type has the following method-specific fields:

Note: You should always train flows prior to sending them queries. See the training documentation.

# 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

async def sample_restore_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.RestoreAgentRequest, dict]]) – The request object. The request message for [Agents.RestoreAgent][google.cloud.dialogflow.cx.v3.Agents.RestoreAgent].

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

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

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

Returns

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);

}

Return type

google.api_core.operation_async.AsyncOperation

static secret_version_path(project: str, secret: str, version: str) str

Returns a fully-qualified secret_version string.

static security_settings_path(project: str, location: str, security_settings: str) str

Returns a fully-qualified security_settings string.

property transport: google.cloud.dialogflowcx_v3.services.agents.transports.base.AgentsTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

AgentsTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used

by the client instance.

Return type

str

async update_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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.agent.Agent[source]

Updates the specified agent.

Note: You should always train flows prior to sending them queries. See the training documentation.

# 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

async def sample_update_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

    # 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 = await client.update_agent(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.UpdateAgentRequest, dict]]) – The request object. The request message for [Agents.UpdateAgent][google.cloud.dialogflow.cx.v3.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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

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

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

Returns

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][google.cloud.dialogflow.cx.v3.Intent], [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], [Flows][google.cloud.dialogflow.cx.v3.Flow], [Fulfillments][google.cloud.dialogflow.cx.v3.Fulfillment], [Webhooks][google.cloud.dialogflow.cx.v3.Webhook], [TransitionRouteGroups][google.cloud.dialogflow.cx.v3.TransitionRouteGroup] and so on to manage the conversation flows.

Return type

google.cloud.dialogflowcx_v3.types.Agent

async update_generative_settings(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.UpdateGenerativeSettingsRequest, dict]] = None, *, generative_settings: Optional[google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings[source]

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

async def sample_update_generative_settings():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.UpdateGenerativeSettingsRequest, dict]]) – The request object. Request for [UpdateGenerativeSettings][google.cloud.dialogflow.cx.v3.Agents.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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

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

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

Returns

Settings for Generative AI.

Return type

google.cloud.dialogflowcx_v3.types.GenerativeSettings

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

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

async def sample_validate_agent():
    # Create a client
    client = dialogflowcx_v3.AgentsAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dialogflowcx_v3.types.ValidateAgentRequest, dict]]) – The request object. The request message for [Agents.ValidateAgent][google.cloud.dialogflow.cx.v3.Agents.ValidateAgent].

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

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

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

Returns

The response message for

[Agents.GetAgentValidationResult][google.cloud.dialogflow.cx.v3.Agents.GetAgentValidationResult].

Return type

google.cloud.dialogflowcx_v3.types.AgentValidationResult

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

Service for managing [Agents][google.cloud.dialogflow.cx.v3.Agent].

Instantiates the agents client.

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

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

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

    Custom options for the client.

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

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

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

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

Raises

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

__exit__(type, value, traceback)[source]

Releases underlying transport’s resources.

Warning

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

static agent_generative_settings_path(project: str, location: str, agent: str) str[source]

Returns a fully-qualified agent_generative_settings string.

static agent_path(project: str, location: str, agent: str) str[source]

Returns a fully-qualified agent string.

static agent_validation_result_path(project: str, location: str, agent: str) str[source]

Returns a fully-qualified agent_validation_result string.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

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

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
  • request (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.

Returns

None

static common_billing_account_path(billing_account: str) str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) str[source]

Returns a fully-qualified folder string.

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

Returns a fully-qualified location string.

static common_organization_path(organization: str) str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str) str[source]

Returns a fully-qualified project string.

create_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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.agent.Agent[source]

Creates an agent in the specified location.

Note: You should always train flows prior to sending them queries. See the training documentation.

# 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
  • request (Union[google.cloud.dialogflowcx_v3.types.CreateAgentRequest, dict]) – The request object. The request message for [Agents.CreateAgent][google.cloud.dialogflow.cx.v3.Agents.CreateAgent].

  • parent (str) –

    Required. The location to create a agent for. Format: projects/<ProjectID>/locations/<LocationID>.

    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

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][google.cloud.dialogflow.cx.v3.Intent], [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], [Flows][google.cloud.dialogflow.cx.v3.Flow], [Fulfillments][google.cloud.dialogflow.cx.v3.Fulfillment], [Webhooks][google.cloud.dialogflow.cx.v3.Webhook], [TransitionRouteGroups][google.cloud.dialogflow.cx.v3.TransitionRouteGroup] and so on to manage the conversation flows.

Return type

google.cloud.dialogflowcx_v3.types.Agent

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

Deletes 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
  • request (Union[google.cloud.dialogflowcx_v3.types.DeleteAgentRequest, dict]) – The request object. The request message for [Agents.DeleteAgent][google.cloud.dialogflow.cx.v3.Agents.DeleteAgent].

  • name (str) –

    Required. The name of the agent to delete. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>.

    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.

static environment_path(project: str, location: str, agent: str, environment: str) str[source]

Returns a fully-qualified environment string.

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

Exports the specified agent to a binary file.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message

  • response: [ExportAgentResponse][google.cloud.dialogflow.cx.v3.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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dialogflowcx_v3.types.ExportAgentResponse The response message for

[Agents.ExportAgent][google.cloud.dialogflow.cx.v3.Agents.ExportAgent].

Return type

google.api_core.operation.Operation

static flow_path(project: str, location: str, agent: str, flow: str) str[source]

Returns a fully-qualified flow string.

static flow_validation_result_path(project: str, location: str, agent: str, flow: str) str[source]

Returns a fully-qualified flow_validation_result string.

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

file.

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

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsClient

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

info.

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

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsClient

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

file.

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

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsClient

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

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
  • request (Union[google.cloud.dialogflowcx_v3.types.GetAgentRequest, dict]) – The request object. The request message for [Agents.GetAgent][google.cloud.dialogflow.cx.v3.Agents.GetAgent].

  • name (str) –

    Required. The name of the agent. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>.

    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

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][google.cloud.dialogflow.cx.v3.Intent], [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], [Flows][google.cloud.dialogflow.cx.v3.Flow], [Fulfillments][google.cloud.dialogflow.cx.v3.Fulfillment], [Webhooks][google.cloud.dialogflow.cx.v3.Webhook], [TransitionRouteGroups][google.cloud.dialogflow.cx.v3.TransitionRouteGroup] and so on to manage the conversation flows.

Return type

google.cloud.dialogflowcx_v3.types.Agent

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

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
  • request (Union[google.cloud.dialogflowcx_v3.types.GetAgentValidationResultRequest, dict]) – The request object. The request message for [Agents.GetAgentValidationResult][google.cloud.dialogflow.cx.v3.Agents.GetAgentValidationResult].

  • name (str) –

    Required. The agent name. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/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

The response message for

[Agents.GetAgentValidationResult][google.cloud.dialogflow.cx.v3.Agents.GetAgentValidationResult].

Return type

google.cloud.dialogflowcx_v3.types.AgentValidationResult

get_generative_settings(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.GetGenerativeSettingsRequest, dict]] = None, *, name: Optional[str] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings[source]

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
  • request (Union[google.cloud.dialogflowcx_v3.types.GetGenerativeSettingsRequest, dict]) – The request object. Request for [GetGenerativeSettings][google.cloud.dialogflow.cx.v3.Agents.GetGenerativeSettings] RPC.

  • name (str) –

    Required. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/generativeSettings.

    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

Settings for Generative AI.

Return type

google.cloud.dialogflowcx_v3.types.GenerativeSettings

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

Gets information about a location.

Parameters
  • request (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

Location object.

Return type

Location

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

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

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

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

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

Parameters

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

Returns

returns the API endpoint and the

client cert source to use.

Return type

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

Raises

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

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

Gets the latest state of a long-running operation.

Parameters
  • request (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

An Operation object.

Return type

Operation

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

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
  • request (Union[google.cloud.dialogflowcx_v3.types.ListAgentsRequest, dict]) – The request object. The request message for [Agents.ListAgents][google.cloud.dialogflow.cx.v3.Agents.ListAgents].

  • parent (str) –

    Required. The location to list all agents for. Format: projects/<ProjectID>/locations/<LocationID>.

    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

The response message for

[Agents.ListAgents][google.cloud.dialogflow.cx.v3.Agents.ListAgents].

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

Return type

google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsPager

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

Lists information about the supported locations for this service.

Parameters
  • request (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

Response message for ListLocations method.

Return type

ListLocationsResponse

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

Lists operations that match the specified filter in the request.

Parameters
  • request (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

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_agent_generative_settings_path(path: str) Dict[str, str][source]

Parses a agent_generative_settings path into its component segments.

static parse_agent_path(path: str) Dict[str, str][source]

Parses a agent path into its component segments.

static parse_agent_validation_result_path(path: str) Dict[str, str][source]

Parses a agent_validation_result path into its component segments.

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

Parse a billing_account path into its component segments.

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

Parse a folder path into its component segments.

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

Parse a location path into its component segments.

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

Parse a organization path into its component segments.

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

Parse a project path into its component segments.

static parse_environment_path(path: str) Dict[str, str][source]

Parses a environment path into its component segments.

static parse_flow_path(path: str) Dict[str, str][source]

Parses a flow path into its component segments.

static parse_flow_validation_result_path(path: str) Dict[str, str][source]

Parses a flow_validation_result path into its component segments.

static parse_secret_version_path(path: str) Dict[str, str][source]

Parses a secret_version path into its component segments.

static parse_security_settings_path(path: str) Dict[str, str][source]

Parses a security_settings path into its component segments.

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

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. The returned Operation type has the following method-specific fields:

Note: You should always train flows prior to sending them queries. See the training documentation.

# 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
Returns

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);

}

Return type

google.api_core.operation.Operation

static secret_version_path(project: str, secret: str, version: str) str[source]

Returns a fully-qualified secret_version string.

static security_settings_path(project: str, location: str, security_settings: str) str[source]

Returns a fully-qualified security_settings string.

property transport: google.cloud.dialogflowcx_v3.services.agents.transports.base.AgentsTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

AgentsTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used by the client instance.

Return type

str

update_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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.agent.Agent[source]

Updates the specified agent.

Note: You should always train flows prior to sending them queries. See the training documentation.

# 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
  • request (Union[google.cloud.dialogflowcx_v3.types.UpdateAgentRequest, dict]) – The request object. The request message for [Agents.UpdateAgent][google.cloud.dialogflow.cx.v3.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

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][google.cloud.dialogflow.cx.v3.Intent], [Entity Types][google.cloud.dialogflow.cx.v3.EntityType], [Flows][google.cloud.dialogflow.cx.v3.Flow], [Fulfillments][google.cloud.dialogflow.cx.v3.Fulfillment], [Webhooks][google.cloud.dialogflow.cx.v3.Webhook], [TransitionRouteGroups][google.cloud.dialogflow.cx.v3.TransitionRouteGroup] and so on to manage the conversation flows.

Return type

google.cloud.dialogflowcx_v3.types.Agent

update_generative_settings(request: Optional[Union[google.cloud.dialogflowcx_v3.types.agent.UpdateGenerativeSettingsRequest, dict]] = None, *, generative_settings: Optional[google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.dialogflowcx_v3.types.generative_settings.GenerativeSettings[source]

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
Returns

Settings for Generative AI.

Return type

google.cloud.dialogflowcx_v3.types.GenerativeSettings

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

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
Returns

The response message for

[Agents.GetAgentValidationResult][google.cloud.dialogflow.cx.v3.Agents.GetAgentValidationResult].

Return type

google.cloud.dialogflowcx_v3.types.AgentValidationResult

class google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsAsyncPager(method: Callable[[...], Awaitable[google.cloud.dialogflowcx_v3.types.agent.ListAgentsResponse]], request: google.cloud.dialogflowcx_v3.types.agent.ListAgentsRequest, response: google.cloud.dialogflowcx_v3.types.agent.ListAgentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_agents requests.

This class thinly wraps an initial google.cloud.dialogflowcx_v3.types.ListAgentsResponse object, and provides an __aiter__ method to iterate through its agents field.

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

All the usual google.cloud.dialogflowcx_v3.types.ListAgentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.dialogflowcx_v3.services.agents.pagers.ListAgentsPager(method: Callable[[...], google.cloud.dialogflowcx_v3.types.agent.ListAgentsResponse], request: google.cloud.dialogflowcx_v3.types.agent.ListAgentsRequest, response: google.cloud.dialogflowcx_v3.types.agent.ListAgentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_agents requests.

This class thinly wraps an initial google.cloud.dialogflowcx_v3.types.ListAgentsResponse object, and provides an __iter__ method to iterate through its agents field.

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

All the usual google.cloud.dialogflowcx_v3.types.ListAgentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters