Class AgentsAsyncClient

Service for managing Agents.

Inheritance

builtins.object > AgentsAsyncClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
AgentsTransportThe transport used by the client instance.

Methods

agent_path

agent_path(project: str)

Returns a fully-qualified agent string.

Parameter
NameDescription
project str

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

Parameter
NameDescription
billing_account str

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

Parameter
NameDescription
folder str

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

Parameters
NameDescription
project str
location str

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

Parameter
NameDescription
organization str

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

Parameter
NameDescription
project str

delete_agent

delete_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.DeleteAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes the specified agent.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.DeleteAgentRequest, dict]

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

parent `str`

Required. The project that the agent to delete is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

export_agent

export_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.ExportAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Exports the specified agent to a ZIP file.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: xref_ExportAgentResponse
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.ExportAgentRequest, dict]

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

parent `str`

Required. The project that the agent to export is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn object representing a long-running operation. The result type for the operation will be ExportAgentResponse The response message for Agents.ExportAgent.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameters
NameDescription
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
TypeDescription
AgentsAsyncClientThe constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameters
NameDescription
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
TypeDescription
AgentsAsyncClientThe constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameters
NameDescription
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
TypeDescription
AgentsAsyncClientThe constructed client.

get_agent

get_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.GetAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specified agent.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.GetAgentRequest, dict]

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

parent `str`

Required. The project that the agent to fetch is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.dialogflow_v2beta1.types.AgentA Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system. For more information about agents, see the [Agent guide](\ https://cloud.google.com/dialogflow/docs/agents-overview).

get_transport_class

get_transport_class()

partial(func, *args, **keywords) - new function with partial application of the given arguments and keywords.

Parameter
NameDescription
label str

get_validation_result

get_validation_result(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.GetValidationResultRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.GetValidationResultRequest, dict]

The request object. The request message for Agents.GetValidationResult.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.dialogflow_v2beta1.types.ValidationResultRepresents the output of agent validation.

import_agent

import_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.ImportAgentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Imports the specified agent from a ZIP file.

Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from xref_ImportAgentRequest. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call xref_TrainAgent and wait for the operation it returns in order to train explicitly.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

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

The operation only tracks when importing is complete, not when it is done training.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.ImportAgentRequest, dict]

The request object. The request message for Agents.ImportAgent.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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 JSON representation for Empty is empty JSON object {}.

parse_agent_path

parse_agent_path(path: str)

Parses a agent path into its component segments.

Parameter
NameDescription
path str

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

Parameter
NameDescription
path str

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

Parameter
NameDescription
path str

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

Parameter
NameDescription
path str

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

Parameter
NameDescription
path str

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

Parameter
NameDescription
path str

restore_agent

restore_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.RestoreAgentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Restores the specified agent from a ZIP file.

Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call xref_TrainAgent and wait for the operation it returns in order to train explicitly.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

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

The operation only tracks when restoring is complete, not when it is done training.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.RestoreAgentRequest, dict]

The request object. The request message for Agents.RestoreAgent.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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 JSON representation for Empty is empty JSON object {}.

search_agents

search_agents(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.SearchAgentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of agents. Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id "-". Refer to List Sub-Collections <https://cloud.google.com/apis/design/design_patterns#list_sub-collections>__.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.SearchAgentsRequest, dict]

The request object. The request message for Agents.SearchAgents.

parent `str`

Required. The project to list agents from. Format: projects/<Project ID or '-'> or projects/<Project ID or '-'>/locations/<Location ID>. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.dialogflow_v2beta1.services.agents.pagers.SearchAgentsAsyncPagerThe response message for Agents.SearchAgents. Iterating over this object will yield results and resolve additional pages automatically.

set_agent

set_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.SetAgentRequest, dict]] = None, *, agent: Optional[google.cloud.dialogflow_v2beta1.types.agent.Agent] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates/updates the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.SetAgentRequest, dict]

The request object. The request message for Agents.SetAgent.

agent 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.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.dialogflow_v2beta1.types.AgentA Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system. For more information about agents, see the [Agent guide](\ https://cloud.google.com/dialogflow/docs/agents-overview).

train_agent

train_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.TrainAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Trains the specified agent.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

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

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.TrainAgentRequest, dict]

The request object. The request message for Agents.TrainAgent.

parent `str`

Required. The project that the agent to train is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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 JSON representation for Empty is empty JSON object {}.