Class ParticipantsAsyncClient (2.34.0)

ParticipantsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.participants.transports.base.ParticipantsTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.participants.transports.base.ParticipantsTransport]]] = '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 Participants.

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
`ParticipantsTransport`	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

ParticipantsAsyncClient

ParticipantsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.participants.transports.base.ParticipantsTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.participants.transports.base.ParticipantsTransport]]] = '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 participants 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,ParticipantsTransport,Callable[..., ParticipantsTransport]]]` 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 ParticipantsTransport 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.

analyze_content

analyze_content(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.AnalyzeContentRequest,
            dict,
        ]
    ] = None,
    *,
    participant: typing.Optional[str] = None,
    text_input: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.session.TextInput
    ] = None,
    audio_input: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.participant.AudioInput
    ] = None,
    event_input: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.session.EventInput
    ] = 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.participant.AnalyzeContentResponse

Adds a text (chat, for example), or audio (phone recording, for example) message from a participant into the conversation.

Note: Always use agent versions for production traffic sent to virtual agents. See Versions and environments <https://cloud.google.com/dialogflow/es/docs/agents-versions>__.

# 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_analyze_content():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.AnalyzeContentRequest(
        participant="participant_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.AnalyzeContentRequest, dict]]` The request object. The request message for Participants.AnalyzeContent.
`participant`	`str` Required. The name of the participant this text comes from. Format: `projects/`. This corresponds to the `participant` field on the `request` instance; if `request` is provided, this should not be set.
`text_input`	`TextInput` The natural language text to be processed. This corresponds to the `text_input` field on the `request` instance; if `request` is provided, this should not be set.
`audio_input`	`AudioInput` The natural language speech audio to be processed. This corresponds to the `audio_input` field on the `request` instance; if `request` is provided, this should not be set.
`event_input`	`EventInput` An input event to send to Dialogflow. This corresponds to the `event_input` 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.AnalyzeContentResponse`	The response message for Participants.AnalyzeContent.

answer_record_path

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

Returns a fully-qualified answer_record string.

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.

compile_suggestion

compile_suggestion(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.CompileSuggestionRequest,
            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.participant.CompileSuggestionResponse

Deprecated. use xref_SuggestArticles and xref_SuggestFaqAnswers instead.

Gets suggestions for a participant based on specific historical messages.

Note that xref_ListSuggestions will only list the auto-generated suggestions, while xref_CompileSuggestion will try to compile suggestion based on the provided conversation context in the real time.

# 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_compile_suggestion():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.CompileSuggestionRequest(
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.CompileSuggestionRequest, dict]]` The request object. The request message for Participants.CompileSuggestion.
`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.CompileSuggestionResponse`	The response message for Participants.CompileSuggestion.

context_path

context_path(project: str, session: str, context: str) -> str

Returns a fully-qualified context string.

create_participant

create_participant(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.CreateParticipantRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    participant: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.participant.Participant
    ] = 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.participant.Participant

Creates a new participant in a 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_create_participant():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.CreateParticipantRequest, dict]]` The request object. The request message for Participants.CreateParticipant.
`parent`	`str` Required. Resource identifier of the conversation adding the participant. Format: `projects/`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`participant`	`Participant` Required. The participant to create. This corresponds to the `participant` 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.Participant`	Represents a conversation participant (human agent, virtual agent, end-user).

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
`ParticipantsAsyncClient`	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
`ParticipantsAsyncClient`	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
`ParticipantsAsyncClient`	The constructed client.

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_participant

get_participant(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.GetParticipantRequest,
            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.participant.Participant

Retrieves a conversation participant.

# 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_participant():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.GetParticipantRequest, dict]]` The request object. The request message for Participants.GetParticipant.
`name`	`str` Required. The name of the participant. 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.Participant`	Represents a conversation participant (human agent, virtual agent, end-user).

get_transport_class

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

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.

intent_path

intent_path(project: str, intent: str) -> str

Returns a fully-qualified intent string.

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_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.

list_participants

list_participants(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.ListParticipantsRequest,
            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.participants.pagers.ListParticipantsAsyncPager
)

Returns the list of all participants in the specified 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_list_participants():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

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

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.ListParticipantsRequest, dict]]` The request object. The request message for Participants.ListParticipants.
`parent`	`str` Required. The conversation to list all participants from. 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.participants.pagers.ListParticipantsAsyncPager`	The response message for Participants.ListParticipants. Iterating over this object will yield results and resolve additional pages automatically.

list_suggestions

list_suggestions(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.ListSuggestionsRequest,
            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.services.participants.pagers.ListSuggestionsAsyncPager
)

Deprecated: Use inline suggestion, event based suggestion or Suggestion* API instead. See xref_HumanAgentAssistantConfig.name for more details. Removal Date: 2020-09-01.

Retrieves suggestions for live agents.

This method should be used by human agent client software to fetch auto generated suggestions in real-time, while the conversation with an end user is in progress. The functionality is implemented in terms of the list pagination <https://cloud.google.com/apis/design/design_patterns#list_pagination>__ design pattern. The client app should use the next_page_token field to fetch the next batch of suggestions. suggestions are sorted by create_time in descending order. To fetch latest suggestion, just set page_size to 1. To fetch new suggestions 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_suggestions():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ListSuggestionsRequest(
    )

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.ListSuggestionsRequest, dict]]` The request object. The request message for Participants.ListSuggestions.
`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.participants.pagers.ListSuggestionsAsyncPager`	The response message for Participants.ListSuggestions. Iterating over this object will yield results and resolve additional pages automatically.

message_path

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

Returns a fully-qualified message string.

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_context_path

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

Parses a context 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_intent_path

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

Parses a intent 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_participant_path

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

Parses a participant path into its component segments.

parse_session_entity_type_path

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

Parses a session_entity_type path into its component segments.

participant_path

participant_path(project: str, conversation: str, participant: str) -> str

Returns a fully-qualified participant string.

session_entity_type_path

session_entity_type_path(project: str, session: str, entity_type: str) -> str

Returns a fully-qualified session_entity_type string.

streaming_analyze_content

streaming_analyze_content(
    requests: typing.Optional[
        typing.AsyncIterator[
            google.cloud.dialogflow_v2beta1.types.participant.StreamingAnalyzeContentRequest
        ]
    ] = 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]] = ()
) -> typing.Awaitable[
    typing.AsyncIterable[
        google.cloud.dialogflow_v2beta1.types.participant.StreamingAnalyzeContentResponse
    ]
]

Adds a text (e.g., chat) or audio (e.g., phone recording) message from a participant into the conversation. Note: This method is only available through the gRPC API (not REST).

The top-level message sent to the client by the server is StreamingAnalyzeContentResponse. Multiple response messages can be returned in order. The first one or more messages contain the recognition_result field. Each result represents a more complete transcript of what the user said. The next message contains the reply_text field, and potentially the reply_audio and/or the automated_agent_reply fields.

Note: Always use agent versions for production traffic sent to virtual agents. See Versions and environments <https://cloud.google.com/dialogflow/es/docs/agents-versions>__.

# 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_streaming_analyze_content():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

    # Initialize request argument(s)
    audio_config = dialogflow_v2beta1.InputAudioConfig()
    audio_config.audio_encoding = "AUDIO_ENCODING_SPEEX_WITH_HEADER_BYTE"
    audio_config.sample_rate_hertz = 1817
    audio_config.language_code = "language_code_value"

    request = dialogflow_v2beta1.StreamingAnalyzeContentRequest(
        audio_config=audio_config,
        input_audio=b'input_audio_blob',
        participant="participant_value",
    )

    # This method expects an iterator which contains
    # 'dialogflow_v2beta1.StreamingAnalyzeContentRequest' objects
    # Here we create a generator that yields a single `request` for
    # demonstrative purposes.
    requests = [request]

    def request_generator():
        for request in requests:
            yield request

    # Make the request
    stream = await client.streaming_analyze_content(requests=request_generator())

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

Parameters
Name	Description
`requests`	`AsyncIterator[google.cloud.dialogflow_v2beta1.types.StreamingAnalyzeContentRequest]` The request object AsyncIterator. The top-level message sent by the client to the Participants.StreamingAnalyzeContent method. Multiple request messages should be sent in order: 1. The first message must contain participant, config and optionally query_params. If you want to receive an audio response, it should also contain reply_audio_config. The message must not contain input. 2. If config in the first message was set to audio_config, all subsequent messages must contain input_audio to continue with Speech recognition. If you decide to rather analyze text input after you already started Speech recognition, please send a message with StreamingAnalyzeContentRequest.input_text. However, note that: - Dialogflow will bill you for the audio so far. - Dialogflow discards all Speech recognition results in favor of the text input. 3. If StreamingAnalyzeContentRequest.config in the first message was set to StreamingAnalyzeContentRequest.text_config, then the second message must contain only input_text. Moreover, you must not send more than two messages. After you sent all input, you must half-close or abort the request stream.
`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

AsyncIterable[google.cloud.dialogflow_v2beta1.types.StreamingAnalyzeContentResponse] The top-level message returned from the StreamingAnalyzeContent method. Multiple response messages can be returned in order: 1. If the input was set to streaming audio, the first one or more messages contain recognition_result. Each recognition_result represents a more complete transcript of what the user said. The last recognition_result has is_final set to true. 2. In virtual agent stage: if enable_partial_automated_agent_reply is true, the following N (currently 1 <= n=""><= 4)="" messages="" contain="" automated_agent_reply="" and="" optionally="" reply_audio="" returned="" by="" the="" virtual="" agent.="" the="" first="" (n-1)="" automated_agent_replys="" will="" have="" automated_agent_reply_type="" set="" to="" partial.="" the="" last="" automated_agent_reply="" has="" automated_agent_reply_type="" set="" to="" final.="" if="" enable_partial_automated_agent_reply="" is="" not="" enabled,="" response="" stream="" only="" contains="" the="" final="" reply.="" in="" human="" assist="" stage:="" the="" following="" n="" (n="">= 1) messages contain human_agent_suggestion_results, end_user_suggestion_results or message.

suggest_articles

suggest_articles(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.SuggestArticlesRequest,
            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.types.participant.SuggestArticlesResponse

Gets suggested articles for a participant based on specific historical messages.

Note that xref_ListSuggestions will only list the auto-generated suggestions, while xref_CompileSuggestion will try to compile suggestion based on the provided conversation context in the real time.

# 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_articles():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestArticlesRequest, dict]]` The request object. The request message for Participants.SuggestArticles.
`parent`	`str` Required. The name of the participant to fetch suggestion 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.types.SuggestArticlesResponse`	The response message for Participants.SuggestArticles.

suggest_faq_answers

suggest_faq_answers(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.SuggestFaqAnswersRequest,
            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.types.participant.SuggestFaqAnswersResponse

Gets suggested faq answers for a participant based on specific historical messages.

# 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_faq_answers():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestFaqAnswersRequest, dict]]` The request object. The request message for Participants.SuggestFaqAnswers.
`parent`	`str` Required. The name of the participant to fetch suggestion 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.types.SuggestFaqAnswersResponse`	The request message for Participants.SuggestFaqAnswers.

suggest_knowledge_assist

suggest_knowledge_assist(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.SuggestKnowledgeAssistRequest,
            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.participant.SuggestKnowledgeAssistResponse

Gets knowledge assist suggestions based on historical messages.

# 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_knowledge_assist():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestKnowledgeAssistRequest, dict]]` The request object. The request message for Participants.SuggestKnowledgeAssist.
`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.SuggestKnowledgeAssistResponse`	The response message for Participants.SuggestKnowledgeAssist.

suggest_smart_replies

suggest_smart_replies(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.SuggestSmartRepliesRequest,
            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.types.participant.SuggestSmartRepliesResponse

Gets smart replies for a participant based on specific historical messages.

# 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_smart_replies():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestSmartRepliesRequest, dict]]` The request object. The request message for Participants.SuggestSmartReplies.
`parent`	`str` Required. The name of the participant to fetch suggestion 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.types.SuggestSmartRepliesResponse`	The response message for Participants.SuggestSmartReplies.

update_participant

update_participant(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.participant.UpdateParticipantRequest,
            dict,
        ]
    ] = None,
    *,
    participant: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.participant.Participant
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = 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.participant.Participant

Updates the specified participant.

# 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_update_participant():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.UpdateParticipantRequest(
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.dialogflow_v2beta1.types.UpdateParticipantRequest, dict]]` The request object. The request message for Participants.UpdateParticipant.
`participant`	`Participant` Required. The participant to update. This corresponds to the `participant` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. The mask to specify which fields to update. This corresponds to the `update_mask` 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.Participant`	Represents a conversation participant (human agent, virtual agent, end-user).