Class ConversationsClient (2.36.0)

ConversationsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.conversations.transports.base.ConversationsTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.conversations.transports.base.ConversationsTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for managing Conversations.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
ConversationsTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

ConversationsClient

ConversationsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.conversations.transports.base.ConversationsTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.conversations.transports.base.ConversationsTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the conversations client.

Parameters
Name Description
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

transport Optional[Union[str,ConversationsTransport,Callable[..., ConversationsTransport]]]

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 ConversationsTransport constructor. If set to None, a transport is chosen automatically.

client_options Optional[Union[google.api_core.client_options.ClientOptions, dict]]

Custom options for the client. 1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The universe_domain property can be used to override the default "googleapis.com" universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

client_info google.api_core.gapic_v1.client_info.ClientInfo

The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

agent_path

agent_path(project: str) -> str

Returns a fully-qualified agent string.

answer_record_path

answer_record_path(project: str, answer_record: str) -> str

Returns a fully-qualified answer_record string.

batch_create_messages

batch_create_messages(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.BatchCreateMessagesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    requests: typing.Optional[
        typing.MutableSequence[
            google.cloud.dialogflow_v2beta1.types.conversation.CreateMessageRequest
        ]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2beta1.types.conversation.BatchCreateMessagesResponse

Batch ingests messages to conversation. Customers can use this RPC to ingest historical messages to conversation.

# 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 dialogflow_v2beta1

def sample_batch_create_messages():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

    # Initialize request argument(s)
    requests = dialogflow_v2beta1.CreateMessageRequest()
    requests.parent = "parent_value"
    requests.message.content = "content_value"

    request = dialogflow_v2beta1.BatchCreateMessagesRequest(
        parent="parent_value",
        requests=requests,
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflow_v2beta1.types.BatchCreateMessagesRequest, dict]

The request object. The request message for [Conversations.BatchCreateMessagesRequest][].

parent str

Required. Resource identifier of the conversation to create message. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

requests MutableSequence[google.cloud.dialogflow_v2beta1.types.CreateMessageRequest]

Required. A maximum of 300 messages can be created in a batch. [CreateMessageRequest.message.send_time][] is required. All created messages will have identical Message.create_time. This corresponds to the requests field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

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

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

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

Returns
Type Description
google.cloud.dialogflow_v2beta1.types.BatchCreateMessagesResponse The request message for [Conversations.BatchCreateMessagesResponse][].

cancel_operation

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

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name Description
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation method.

retry google.api_core.retry.Retry

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

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

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

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

complete_conversation

complete_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.CompleteConversationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2beta1.types.conversation.Conversation

Completes the specified conversation. Finished conversations are purged from the database after 30 days.

# 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 dialogflow_v2beta1

def sample_complete_conversation():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.CompleteConversationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflow_v2beta1.types.CompleteConversationRequest, dict]

The request object. The request message for Conversations.CompleteConversation.

name str

Required. Resource identifier of the conversation to close. Format: projects/. This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

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

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

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

Returns
Type Description
google.cloud.dialogflow_v2beta1.types.Conversation Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

conversation_model_path

conversation_model_path(
    project: str, location: str, conversation_model: str
) -> str

Returns a fully-qualified conversation_model string.

conversation_path

conversation_path(project: str, conversation: str) -> str

Returns a fully-qualified conversation string.

conversation_profile_path

conversation_profile_path(project: str, conversation_profile: str) -> str

Returns a fully-qualified conversation_profile string.

create_conversation

create_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.CreateConversationRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    conversation: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.conversation.Conversation
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2beta1.types.conversation.Conversation

Creates a new conversation. Conversations are auto-completed after 24 hours.

Conversation Lifecycle: There are two stages during a conversation: Automated Agent Stage and Assist Stage.

For Automated Agent Stage, there will be a dialogflow agent responding to user queries.

For Assist Stage, there's no dialogflow agent responding to user queries. But we will provide suggestions which are generated from conversation.

If xref_Conversation.conversation_profile is configured for a dialogflow agent, conversation will start from Automated Agent Stage, otherwise, it will start from Assist Stage. And during Automated Agent Stage, once an xref_Intent with xref_Intent.live_agent_handoff is triggered, conversation will transfer to Assist Stage.

# 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 dialogflow_v2beta1

def sample_create_conversation():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

    # Initialize request argument(s)
    conversation = dialogflow_v2beta1.Conversation()
    conversation.conversation_profile = "conversation_profile_value"

    request = dialogflow_v2beta1.CreateConversationRequest(
        parent="parent_value",
        conversation=conversation,
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflow_v2beta1.types.CreateConversationRequest, dict]

The request object. The request message for Conversations.CreateConversation.

parent str

Required. Resource identifier of the project creating the conversation. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

conversation google.cloud.dialogflow_v2beta1.types.Conversation

Required. The conversation to create. This corresponds to the conversation field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

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

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

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

Returns
Type Description
google.cloud.dialogflow_v2beta1.types.Conversation Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

cx_security_settings_path

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

Returns a fully-qualified cx_security_settings string.