Google Cloud Dialogflow V2 Client - Class SuggestionConfig (1.17.1)

Reference documentation and code samples for the Google Cloud Dialogflow V2 Client class SuggestionConfig.

Detail human agent assistant config.

Generated from protobuf message google.cloud.dialogflow.v2.HumanAgentAssistantConfig.SuggestionConfig

Namespace

Google \ Cloud \ Dialogflow \ V2 \ HumanAgentAssistantConfig

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ feature_configs`	`array<SuggestionFeatureConfig>` Configuration of different suggestion features. One feature can have only one config.
`↳ group_suggestion_responses`	`bool` If `group_suggestion_responses` is false, and there are multiple `feature_configs` in `event based suggestion` or StreamingAnalyzeContent, we will try to deliver suggestions to customers as soon as we get new suggestion. Different type of suggestions based on the same context will be in separate Pub/Sub event or `StreamingAnalyzeContentResponse`. If `group_suggestion_responses` set to true. All the suggestions to the same participant based on the same context will be grouped into a single Pub/Sub event or StreamingAnalyzeContentResponse.
`↳ generators`	`array` Optional. List of various generator resource names used in the conversation profile.
`↳ disable_high_latency_features_sync_delivery`	`bool` Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST

getFeatureConfigs

Configuration of different suggestion features. One feature can have only one config.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setFeatureConfigs

Configuration of different suggestion features. One feature can have only one config.

Parameter
Name	Description
`var`	`array<SuggestionFeatureConfig>`

Returns
Type	Description
`$this`

getGroupSuggestionResponses

If group_suggestion_responses is false, and there are multiple feature_configs in event based suggestion or StreamingAnalyzeContent, we will try to deliver suggestions to customers as soon as we get new suggestion. Different type of suggestions based on the same context will be in separate Pub/Sub event or StreamingAnalyzeContentResponse.

If group_suggestion_responses set to true. All the suggestions to the same participant based on the same context will be grouped into a single Pub/Sub event or StreamingAnalyzeContentResponse.

Returns
Type	Description
`bool`

setGroupSuggestionResponses

If group_suggestion_responses set to true. All the suggestions to the same participant based on the same context will be grouped into a single Pub/Sub event or StreamingAnalyzeContentResponse.

Parameter
Name	Description
`var`	`bool`

Returns
Type	Description
`$this`

getGenerators

Optional. List of various generator resource names used in the conversation profile.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setGenerators

Optional. List of various generator resource names used in the conversation profile.

Parameter
Name	Description
`var`	`string[]`

Returns
Type	Description
`$this`

getDisableHighLatencyFeaturesSyncDelivery

Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST

Returns
Type	Description
`bool`

setDisableHighLatencyFeaturesSyncDelivery

Parameter
Name	Description
`var`	`bool`

Returns
Type	Description
`$this`