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 whentransport
is not explicitly provided. Only if this property is not set andtransport
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 thatapi_endpoint
property still takes precedence; anduniverse_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
- 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_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.
- 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 therequest
instance; ifrequest
is provided, this should not be set.agent (
google.cloud.dialogflowcx_v3.types.Agent
) – Required. The agent to create. This corresponds to theagent
field on therequest
instance; ifrequest
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
- 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 therequest
instance; ifrequest
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 messageresponse
: [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].
- The result type for the operation will be
- Return type
- 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
- 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
- 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
- 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 therequest
instance; ifrequest
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
- 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 therequest
instance; ifrequest
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
- 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 therequest
instance; ifrequest
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 therequest
instance; ifrequest
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
- 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
- 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 therequest
instance; ifrequest
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_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:metadata
: An empty Struct messageresponse
: An Empty message
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);
}
- The result type for the operation will be
- Return type
- 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
- 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 theagent
field on therequest
instance; ifrequest
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 therequest
instance; ifrequest
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
- 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 therequest
instance; ifrequest
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 therequest
instance; ifrequest
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
- 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
- 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 whentransport
is not explicitly provided. Only if this property is not set andtransport
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 theapi_endpoint
property still takes precedence; anduniverse_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
- 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_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.
- 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 therequest
instance; ifrequest
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 therequest
instance; ifrequest
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
- 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 therequest
instance; ifrequest
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 messageresponse
: [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
request (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.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 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].
- The result type for the operation will be
- Return type
- 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
- 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
- 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
- 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 therequest
instance; ifrequest
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
- 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 therequest
instance; ifrequest
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
- 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 therequest
instance; ifrequest
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 therequest
instance; ifrequest
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
- 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
- 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 therequest
instance; ifrequest
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:metadata
: An empty Struct messageresponse
: An Empty message
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
request (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.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 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);
}
- The result type for the operation will be
- Return type
- 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
- 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 therequest
instance; ifrequest
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 therequest
instance; ifrequest
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
- 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
request (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 therequest
instance; ifrequest
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 therequest
instance; ifrequest
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
- 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
request (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.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
- 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 itsagents
field.If there are more pages, the
__aiter__
method will make additionalListAgents
requests and continue to iterate through theagents
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
method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dialogflowcx_v3.types.ListAgentsRequest) – The initial request object.
response (google.cloud.dialogflowcx_v3.types.ListAgentsResponse) – The initial response object.
retry (google.api_core.retry.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.
- 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 itsagents
field.If there are more pages, the
__iter__
method will make additionalListAgents
requests and continue to iterate through theagents
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
method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dialogflowcx_v3.types.ListAgentsRequest) – The initial request object.
response (google.cloud.dialogflowcx_v3.types.ListAgentsResponse) – The initial response object.
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.