public static final class ParticipantsGrpc.ParticipantsStub extends AbstractAsyncStub<ParticipantsGrpc.ParticipantsStub>
Service for managing Participants.
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractAsyncStub >
ParticipantsGrpc.ParticipantsStub
Inherited Members
io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.getCallOptions()
io.grpc.stub.AbstractStub.getChannel()
io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)
io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)
io.grpc.stub.AbstractStub.withCompression(java.lang.String)
io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)
io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)
io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)
io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)
io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)
io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
analyzeContent(AnalyzeContentRequest request, StreamObserver<AnalyzeContentResponse> responseObserver)
public void analyzeContent(AnalyzeContentRequest request, StreamObserver<AnalyzeContentResponse> responseObserver)
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.
Parameters
build(Channel channel, CallOptions callOptions)
protected ParticipantsGrpc.ParticipantsStub build(Channel channel, CallOptions callOptions)
Parameters
Name | Description |
channel | io.grpc.Channel
|
callOptions | io.grpc.CallOptions
|
Returns
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
compileSuggestion(CompileSuggestionRequest request, StreamObserver<CompileSuggestionResponse> responseObserver)
public void compileSuggestion(CompileSuggestionRequest request, StreamObserver<CompileSuggestionResponse> responseObserver)
Deprecated. use SuggestArticles and SuggestFaqAnswers instead.
Gets suggestions for a participant based on specific historical
messages.
Note that ListSuggestions will only list the auto-generated
suggestions, while CompileSuggestion will try to compile suggestion
based on the provided conversation context in the real time.
Parameters
createParticipant(CreateParticipantRequest request, StreamObserver<Participant> responseObserver)
public void createParticipant(CreateParticipantRequest request, StreamObserver<Participant> responseObserver)
Creates a new participant in a conversation.
Parameters
getParticipant(GetParticipantRequest request, StreamObserver<Participant> responseObserver)
public void getParticipant(GetParticipantRequest request, StreamObserver<Participant> responseObserver)
Retrieves a conversation participant.
Parameters
listParticipants(ListParticipantsRequest request, StreamObserver<ListParticipantsResponse> responseObserver)
public void listParticipants(ListParticipantsRequest request, StreamObserver<ListParticipantsResponse> responseObserver)
Returns the list of all participants in the specified conversation.
Parameters
listSuggestions(ListSuggestionsRequest request, StreamObserver<ListSuggestionsResponse> responseObserver)
public void listSuggestions(ListSuggestionsRequest request, StreamObserver<ListSuggestionsResponse> responseObserver)
Deprecated: Use inline suggestion, event based suggestion or
Suggestion* API instead.
See 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
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.
Parameters
suggestArticles(SuggestArticlesRequest request, StreamObserver<SuggestArticlesResponse> responseObserver)
public void suggestArticles(SuggestArticlesRequest request, StreamObserver<SuggestArticlesResponse> responseObserver)
Gets suggested articles for a participant based on specific historical
messages.
Note that ListSuggestions will only list the auto-generated
suggestions, while CompileSuggestion will try to compile suggestion
based on the provided conversation context in the real time.
Parameters
suggestFaqAnswers(SuggestFaqAnswersRequest request, StreamObserver<SuggestFaqAnswersResponse> responseObserver)
public void suggestFaqAnswers(SuggestFaqAnswersRequest request, StreamObserver<SuggestFaqAnswersResponse> responseObserver)
Gets suggested faq answers for a participant based on specific historical
messages.
Parameters
suggestSmartReplies(SuggestSmartRepliesRequest request, StreamObserver<SuggestSmartRepliesResponse> responseObserver)
public void suggestSmartReplies(SuggestSmartRepliesRequest request, StreamObserver<SuggestSmartRepliesResponse> responseObserver)
Gets smart replies for a participant based on specific historical
messages.
Parameters
updateParticipant(UpdateParticipantRequest request, StreamObserver<Participant> responseObserver)
public void updateParticipant(UpdateParticipantRequest request, StreamObserver<Participant> responseObserver)
Updates the specified participant.
Parameters