Class ParticipantsClient (2.14.0)

ParticipantsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.participants.transports.base.ParticipantsTransport]] = None, client_options: 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.

Inheritance

builtins.object > ParticipantsClient

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
ParticipantsTransport	The transport used by the client instance.

Methods

ParticipantsClient

ParticipantsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.participants.transports.base.ParticipantsTransport]] = None, client_options: 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 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	`Union[str, ParticipantsTransport]` The transport to use. If set to None, a transport is chosen automatically.
client_options	`google.api_core.client_options.ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS 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.
client_info	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions

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

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

analyze_content

analyze_content(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.AnalyzeContentRequest, dict]] = None, *, participant: Optional[str] = None, text_input: Optional[google.cloud.dialogflow_v2beta1.types.session.TextInput] = None, event_input: Optional[google.cloud.dialogflow_v2beta1.types.session.EventInput] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

from google.cloud import dialogflow_v2beta1

def sample_analyze_content():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`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/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>`. This corresponds to the `participant` field on the `request` instance; if `request` is provided, this should not be set.
text_input	`google.cloud.dialogflow_v2beta1.types.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.
event_input	`google.cloud.dialogflow_v2beta1.types.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.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.AnalyzeContentResponse	The response message for Participants.AnalyzeContent.

answer_record_path

answer_record_path(project: str, answer_record: str)

Returns a fully-qualified answer_record string.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

compile_suggestion

compile_suggestion(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.CompileSuggestionRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import dialogflow_v2beta1

def sample_compile_suggestion():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.CompileSuggestionRequest, dict]` The request object. The request message for Participants.CompileSuggestion.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.CompileSuggestionResponse	The response message for Participants.CompileSuggestion.

context_path

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

Returns a fully-qualified context string.

create_participant

create_participant(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.CreateParticipantRequest, dict]] = None, *, parent: Optional[str] = None, participant: Optional[google.cloud.dialogflow_v2beta1.types.participant.Participant] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a new participant in a conversation.

from google.cloud import dialogflow_v2beta1

def sample_create_participant():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`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/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
participant	`google.cloud.dialogflow_v2beta1.types.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.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.Participant	Represents a conversation participant (human agent, virtual agent, end-user).

document_path

document_path(project: str, knowledge_base: str, document: 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
ParticipantsClient	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
ParticipantsClient	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
ParticipantsClient	The constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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_participant

get_participant(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.GetParticipantRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves a conversation participant.

from google.cloud import dialogflow_v2beta1

def sample_get_participant():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`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/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.Participant	Represents a conversation participant (human agent, virtual agent, end-user).

intent_path

intent_path(project: str, intent: str)

Returns a fully-qualified intent string.

list_participants

list_participants(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.ListParticipantsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all participants in the specified conversation.

from google.cloud import dialogflow_v2beta1

def sample_list_participants():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

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

Parameters

Name	Description
request	`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/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.services.participants.pagers.ListParticipantsPager	The response message for Participants.ListParticipants. Iterating over this object will yield results and resolve additional pages automatically.

list_suggestions

list_suggestions(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.ListSuggestionsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import dialogflow_v2beta1

def sample_list_suggestions():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

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

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.ListSuggestionsRequest, dict]` The request object. The request message for Participants.ListSuggestions.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.services.participants.pagers.ListSuggestionsPager	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)

Returns a fully-qualified message string.

parse_answer_record_path

parse_answer_record_path(path: str)

Parses a answer_record path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_context_path

parse_context_path(path: str)

Parses a context path into its component segments.

parse_document_path

parse_document_path(path: str)

Parses a document path into its component segments.

parse_intent_path

parse_intent_path(path: str)

Parses a intent path into its component segments.

parse_message_path

parse_message_path(path: str)

Parses a message path into its component segments.

parse_participant_path

parse_participant_path(path: str)

Parses a participant path into its component segments.

parse_session_entity_type_path

parse_session_entity_type_path(path: str)

Parses a session_entity_type path into its component segments.

participant_path

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

Returns a fully-qualified participant string.

session_entity_type_path

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

Returns a fully-qualified session_entity_type string.

streaming_analyze_content

streaming_analyze_content(requests: Optional[Iterator[google.cloud.dialogflow_v2beta1.types.participant.StreamingAnalyzeContentRequest]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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>__.

from google.cloud import dialogflow_v2beta1

def sample_streaming_analyze_content():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.StreamingAnalyzeContentRequest(
        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 = client.streaming_analyze_content(requests=request_generator())

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

Parameters

Name	Description
requests	`Iterator[google.cloud.dialogflow_v2beta1.types.StreamingAnalyzeContentRequest]` The request object iterator. 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.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type

Description

Iterable[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: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.SuggestArticlesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import dialogflow_v2beta1

def sample_suggest_articles():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`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/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.SuggestArticlesResponse	The response message for Participants.SuggestArticles.

suggest_faq_answers

suggest_faq_answers(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.SuggestFaqAnswersRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

from google.cloud import dialogflow_v2beta1

def sample_suggest_faq_answers():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`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/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.SuggestFaqAnswersResponse	The request message for Participants.SuggestFaqAnswers.

suggest_smart_replies

suggest_smart_replies(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.SuggestSmartRepliesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

from google.cloud import dialogflow_v2beta1

def sample_suggest_smart_replies():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`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/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
retry	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.SuggestSmartRepliesResponse	The response message for Participants.SuggestSmartReplies.

update_participant

update_participant(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.participant.UpdateParticipantRequest, dict]] = None, *, participant: Optional[google.cloud.dialogflow_v2beta1.types.participant.Participant] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the specified participant.

from google.cloud import dialogflow_v2beta1

def sample_update_participant():
    # Create a client
    client = dialogflow_v2beta1.ParticipantsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.UpdateParticipantRequest, dict]` The request object. The request message for Participants.UpdateParticipant.
participant	`google.cloud.dialogflow_v2beta1.types.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.Retry` Designation of what errors, if any, should be retried.
timeout	`float` The timeout for this request.
metadata	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
google.cloud.dialogflow_v2beta1.types.Participant	Represents a conversation participant (human agent, virtual agent, end-user).