Class ConversationsAsyncClient (2.36.0)

ConversationsAsyncClient(*, 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]]] = '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>)

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

ConversationsAsyncClient

ConversationsAsyncClient(*, 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]]] = '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>)

Instantiates the conversations async 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 to use. 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 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.

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_async.AsyncRetry,
            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

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

    # 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 = await client.batch_create_messages(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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 :class: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_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
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_async.AsyncRetry,
            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_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.

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_async.AsyncRetry,
            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

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

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

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

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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_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
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_async.AsyncRetry,
            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

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

    # 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 = await client.create_conversation(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[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 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_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
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.

data_store_path

data_store_path(
    project: str, location: str, collection: str, data_store: str
) -> str

Returns a fully-qualified data_store string.

document_path

document_path(project: str, knowledge_base: str, document: str) -> str

Returns a fully-qualified document string.

from_service_account_file

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

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

Parameter
Name Description
filename str

The path to the service account private key json file.

Returns
Type Description
ConversationsAsyncClient The constructed client.

from_service_account_info

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

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

Parameter
Name Description
info dict

The service account private key info.

Returns
Type Description
ConversationsAsyncClient The constructed client.

from_service_account_json

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

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

Parameter
Name Description
filename str

The path to the service account private key json file.

Returns
Type Description
ConversationsAsyncClient The constructed client.

generate_stateless_suggestion

generate_stateless_suggestion(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.GenerateStatelessSuggestionRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            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.GenerateStatelessSuggestionResponse
)

Generates and returns a suggestion for a conversation that does not have a resource created for it.

# 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

async def sample_generate_stateless_suggestion():
    # Create a client
    client = dialogflow_v2beta1.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.GenerateStatelessSuggestionRequest(
        parent="parent_value",
    )

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

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

The request object. The request message for Conversations.GenerateStatelessSuggestion.

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
Type Description
google.cloud.dialogflow_v2beta1.types.GenerateStatelessSuggestionResponse The response message for Conversations.GenerateStatelessSuggestion.

generate_stateless_summary

generate_stateless_summary(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.GenerateStatelessSummaryRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            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.GenerateStatelessSummaryResponse
)

Generates and returns a summary for a conversation that does not have a resource created for it.

# 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

async def sample_generate_stateless_summary():
    # Create a client
    client = dialogflow_v2beta1.ConversationsAsyncClient()

    # Initialize request argument(s)
    stateless_conversation = dialogflow_v2beta1.MinimalConversation()
    stateless_conversation.messages.content = "content_value"
    stateless_conversation.parent = "parent_value"

    conversation_profile = dialogflow_v2beta1.ConversationProfile()
    conversation_profile.display_name = "display_name_value"

    request = dialogflow_v2beta1.GenerateStatelessSummaryRequest(
        stateless_conversation=stateless_conversation,
        conversation_profile=conversation_profile,
    )

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

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

The request object. The request message for Conversations.GenerateStatelessSummary.

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
Type Description
google.cloud.dialogflow_v2beta1.types.GenerateStatelessSummaryResponse The response message for Conversations.GenerateStatelessSummary.

generator_path

generator_path(project: str, location: str, generator: str) -> str

Returns a fully-qualified generator string.

get_conversation

get_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.GetConversationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            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

Retrieves the specific 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

async def sample_get_conversation():
    # Create a client
    client = dialogflow_v2beta1.ConversationsAsyncClient()

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

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

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

The request object. The request message for Conversations.GetConversation.

name str

Required. The name of the conversation. 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_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
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.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            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.location.locations_pb2.Location

Gets information about a location.

Parameters
Name Description
request .location_pb2.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
Type Description
.location_pb2.Location Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

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

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

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment 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.

Parameter
Name Description
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If any errors happen.
Returns
Type Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]] returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            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.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.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
Type Description
.operations_pb2.Operation An Operation object.

get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.dialogflow_v2beta1.services.conversations.transports.base.ConversationsTransport
]

Returns an appropriate transport class.

Parameter
Name Description
label typing.Optional[str]

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

knowledge_base_path

knowledge_base_path(project: str, knowledge_base: str) -> str

Returns a fully-qualified knowledge_base string.

list_conversations

list_conversations(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.ListConversationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            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.services.conversations.pagers.ListConversationsAsyncPager
)

Returns the list of all conversations in the specified project.

# 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

async def sample_list_conversations():
    # Create a client
    client = dialogflow_v2beta1.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ListConversationsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dialogflow_v2beta1.types.ListConversationsRequest, dict]]

The request object. The request message for Conversations.ListConversations.

parent str

Required. The project from which to list all conversation. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry_async.AsyncRetry

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

timeout float

The timeout for this request.

metadata