public static final class ConversationsGrpc.ConversationsFutureStub extends AbstractFutureStub<ConversationsGrpc.ConversationsFutureStub>
A stub to allow clients to do ListenableFuture-style rpc calls to service Conversations.
Service for managing
Conversations.
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractFutureStub >
ConversationsGrpc.ConversationsFutureStub
Inherited Members
io.grpc.stub.AbstractFutureStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractFutureStub.<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(java.time.Duration)
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.withOnReadyThreshold(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
batchCreateMessages(BatchCreateMessagesRequest request)
public ListenableFuture<BatchCreateMessagesResponse> batchCreateMessages(BatchCreateMessagesRequest request)
Batch ingests messages to conversation. Customers can use this RPC to
ingest historical messages to conversation.
build(Channel channel, CallOptions callOptions)
protected ConversationsGrpc.ConversationsFutureStub build(Channel channel, CallOptions callOptions)
| Parameters |
| Name |
Description |
channel |
io.grpc.Channel
|
callOptions |
io.grpc.CallOptions
|
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
completeConversation(CompleteConversationRequest request)
public ListenableFuture<Conversation> completeConversation(CompleteConversationRequest request)
Completes the specified conversation. Finished conversations are purged
from the database after 30 days.
| Returns |
| Type |
Description |
com.google.common.util.concurrent.ListenableFuture<Conversation> |
|
createConversation(CreateConversationRequest request)
public ListenableFuture<Conversation> createConversation(CreateConversationRequest request)
Creates a new conversation. Conversations are auto-completed after 24
hours.
Conversation Lifecycle:
There are two stages during a conversation: Automated Agent Stage and
Assist Stage.
For Automated Agent Stage, there will be a dialogflow agent responding to
user queries.
For Assist Stage, there's no dialogflow agent responding to user queries.
But we will provide suggestions which are generated from conversation.
If
Conversation.conversation_profile
is configured for a dialogflow agent, conversation will start from
Automated Agent Stage, otherwise, it will start from Assist Stage. And
during Automated Agent Stage, once an
Intent with
Intent.live_agent_handoff
is triggered, conversation will transfer to Assist Stage.
| Returns |
| Type |
Description |
com.google.common.util.concurrent.ListenableFuture<Conversation> |
|
generateStatelessSuggestion(GenerateStatelessSuggestionRequest request)
public ListenableFuture<GenerateStatelessSuggestionResponse> generateStatelessSuggestion(GenerateStatelessSuggestionRequest request)
Generates and returns a suggestion for a conversation that does not have a
resource created for it.
generateStatelessSummary(GenerateStatelessSummaryRequest request)
public ListenableFuture<GenerateStatelessSummaryResponse> generateStatelessSummary(GenerateStatelessSummaryRequest request)
Generates and returns a summary for a conversation that does not have a
resource created for it.
generateSuggestions(GenerateSuggestionsRequest request)
public ListenableFuture<GenerateSuggestionsResponse> generateSuggestions(GenerateSuggestionsRequest request)
Generates all the suggestions using generators configured in the
conversation profile. A generator is used only if its trigger event is
matched.
getConversation(GetConversationRequest request)
public ListenableFuture<Conversation> getConversation(GetConversationRequest request)
Retrieves the specific conversation.
| Returns |
| Type |
Description |
com.google.common.util.concurrent.ListenableFuture<Conversation> |
|
ingestContextReferences(IngestContextReferencesRequest request)
public ListenableFuture<IngestContextReferencesResponse> ingestContextReferences(IngestContextReferencesRequest request)
Data ingestion API.
Ingests context references for an existing conversation.
listConversations(ListConversationsRequest request)
public ListenableFuture<ListConversationsResponse> listConversations(ListConversationsRequest request)
Returns the list of all conversations in the specified project.
listMessages(ListMessagesRequest request)
public ListenableFuture<ListMessagesResponse> listMessages(ListMessagesRequest request)
Lists messages that belong to a given conversation.
messages are ordered by create_time in descending order. To fetch
updates without duplication, send request with filter
create_time_epoch_microseconds >
[first item's create_time of previous request] and empty page_token.
searchKnowledge(SearchKnowledgeRequest request)
public ListenableFuture<SearchKnowledgeResponse> searchKnowledge(SearchKnowledgeRequest request)
Get answers for the given query based on knowledge documents.
suggestConversationSummary(SuggestConversationSummaryRequest request)
public ListenableFuture<SuggestConversationSummaryResponse> suggestConversationSummary(SuggestConversationSummaryRequest request)
Suggest summary for a conversation based on specific historical messages.
The range of the messages to be used for summary can be specified in the
request.
