Class ConversationsAsyncClient (2.35.0)

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.

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`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dialogflow_v2beta1.services.conversations.pagers.ListConversationsAsyncPager`	The response message for Conversations.ListConversations. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = 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.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name	Description
`request`	`.location_pb2.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
Type	Description
`.location_pb2.ListLocationsResponse`	Response message for `ListLocations` method.

list_messages

list_messages(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.ListMessagesRequest, 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.ListMessagesAsyncPager
)

Lists messages that belong to a given conversation. messages are ordered by create_time in descending order. To fetch updates without duplication, send request with filter create_time_epoch_microseconds > [first item's create_time of previous request] and empty page_token.

# 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_messages():
    # Create a client
    client = dialogflow_v2beta1.ConversationsAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.ListMessagesRequest, dict]]` The request object. The request message for Conversations.ListMessages.
`parent`	`str` Required. The name of the conversation to list messages for. 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`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dialogflow_v2beta1.services.conversations.pagers.ListMessagesAsyncPager`	The response message for Conversations.ListMessages. Iterating over this object will yield results and resolve additional pages automatically.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = 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.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
`request`	`.operations_pb2.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
Type	Description
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

message_path

message_path(project: str, conversation: str, message: str) -> str

Returns a fully-qualified message string.

parse_agent_path

parse_agent_path(path: str) -> typing.Dict[str, str]

Parses a agent path into its component segments.

parse_answer_record_path

parse_answer_record_path(path: str) -> typing.Dict[str, str]

Parses a answer_record path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_conversation_model_path

parse_conversation_model_path(path: str) -> typing.Dict[str, str]

Parses a conversation_model path into its component segments.

parse_conversation_path

parse_conversation_path(path: str) -> typing.Dict[str, str]

Parses a conversation path into its component segments.

parse_conversation_profile_path

parse_conversation_profile_path(path: str) -> typing.Dict[str, str]

Parses a conversation_profile path into its component segments.

parse_cx_security_settings_path

parse_cx_security_settings_path(path: str) -> typing.Dict[str, str]

Parses a cx_security_settings path into its component segments.

parse_document_path

parse_document_path(path: str) -> typing.Dict[str, str]

Parses a document path into its component segments.

parse_generator_path

parse_generator_path(path: str) -> typing.Dict[str, str]

Parses a generator path into its component segments.

parse_knowledge_base_path

parse_knowledge_base_path(path: str) -> typing.Dict[str, str]

Parses a knowledge_base path into its component segments.

parse_message_path

parse_message_path(path: str) -> typing.Dict[str, str]

Parses a message path into its component segments.

parse_phrase_set_path

parse_phrase_set_path(path: str) -> typing.Dict[str, str]

Parses a phrase_set path into its component segments.

phrase_set_path

phrase_set_path(project: str, location: str, phrase_set: str) -> str

Returns a fully-qualified phrase_set string.

search_knowledge

search_knowledge(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.SearchKnowledgeRequest,
            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.SearchKnowledgeResponse

Get answers for the given query based on knowledge documents.

# 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_search_knowledge():
    # Create a client
    client = dialogflow_v2beta1.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.SearchKnowledgeRequest(
        parent="parent_value",
        conversation_profile="conversation_profile_value",
        session_id="session_id_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.SearchKnowledgeRequest, dict]]` The request object. The request message for Conversations.SearchKnowledge.
`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.SearchKnowledgeResponse`	The response message for Conversations.SearchKnowledge.

suggest_conversation_summary

suggest_conversation_summary(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation.SuggestConversationSummaryRequest,
            dict,
        ]
    ] = None,
    *,
    conversation: 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.SuggestConversationSummaryResponse
)

Suggest summary for a conversation based on specific historical messages. The range of the messages to be used for summary can be specified in the request.

# 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_suggest_conversation_summary():
    # Create a client
    client = dialogflow_v2beta1.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.SuggestConversationSummaryRequest(
        conversation="conversation_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestConversationSummaryRequest, dict]]` The request object. The request message for Conversations.SuggestConversationSummary.
`conversation`	`str` Required. The conversation to fetch suggestion for. Format: `projects/`. 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.SuggestConversationSummaryResponse`	The response message for Conversations.SuggestConversationSummary.