Class ParticipantsAsyncClient (2.35.0) 

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_phrase_set_path

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

Parses a phrase_set 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.

phrase_set_path

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

Returns a fully-qualified phrase_set 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_ALAW"
    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).