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<h1><a href="dialogflow_v2.html">Dialogflow API</a> . <a href="dialogflow_v2.projects.html">projects</a> . <a href="dialogflow_v2.projects.locations.html">locations</a> . <a href="dialogflow_v2.projects.locations.conversationProfiles.html">conversationProfiles</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#create">create(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Creates a conversation profile in the specified project. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren't populated in the response. You can retrieve them via GetConversationProfile API.</p>
<p class="toc_element">
<code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
<p class="firstline">Deletes the specified conversation profile.</p>
<p class="toc_element">
<code><a href="#get">get(name, x__xgafv=None)</a></code></p>
<p class="firstline">Retrieves the specified conversation profile.</p>
<p class="toc_element">
<code><a href="#list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">Returns the list of all conversation profiles in the specified project.</p>
<p class="toc_element">
<code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<p class="toc_element">
<code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
<p class="firstline">Updates the specified conversation profile. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren't populated in the response. You can retrieve them via GetConversationProfile API.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
<div class="method">
<code class="details" id="create">create(parent, body=None, x__xgafv=None)</code>
<pre>Creates a conversation profile in the specified project. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren&#x27;t populated in the response. You can retrieve them via GetConversationProfile API.
Args:
parent: string, Required. The project to create a conversation profile for. Format: `projects//locations/`. (required)
body: object, The request body.
The object takes the form of:
{ # Defines the services to connect to incoming Dialogflow conversations.
&quot;automatedAgentConfig&quot;: { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
&quot;agent&quot;: &quot;A String&quot;, # Required. ID of the Dialogflow agent environment to use. This project needs to either be the same project as the conversation or you need to grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow API Service Agent` role in this project. Format: `projects//locations//agent/environments/`. If environment is not specified, the default `draft` environment is used. Refer to [DetectIntentRequest](/dialogflow/docs/reference/rpc/google.cloud.dialogflow.v2#google.cloud.dialogflow.v2.DetectIntentRequest) for more details.
},
&quot;createTime&quot;: &quot;A String&quot;, # Output only. Create time of the conversation profile.
&quot;displayName&quot;: &quot;A String&quot;, # Required. Human readable name for this profile. Max length 1024 bytes.
&quot;humanAgentAssistantConfig&quot;: { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
&quot;endUserSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of end user participant. Currently, this feature is not general available, please contact Google to get access.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;humanAgentSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;messageAnalysisConfig&quot;: { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
&quot;enableEntityExtraction&quot;: True or False, # Enable entity extraction in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Currently, this feature is not general available, please contact Google to get access.
&quot;enableSentimentAnalysis&quot;: True or False, # Enable sentiment analysis in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user&#x27;s attitude as positive, negative, or neutral: https://cloud.google.com/natural-language/docs/basics#sentiment_analysis For Participants.StreamingAnalyzeContent method, result will be in StreamingAnalyzeContentResponse.message.SentimentAnalysisResult. For Participants.AnalyzeContent method, result will be in AnalyzeContentResponse.message.SentimentAnalysisResult For Conversations.ListMessages method, result will be in ListMessagesResponse.messages.SentimentAnalysisResult If Pub/Sub notification is configured, result will be in ConversationEvent.new_message_payload.SentimentAnalysisResult.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
},
&quot;humanAgentHandoffConfig&quot;: { # Defines the hand off to a live agent, typically on which external agent service provider to connect to a conversation. Currently, this feature is not general available, please contact Google to get access. # Configuration for connecting to a live agent. Currently, this feature is not general available, please contact Google to get access.
&quot;livePersonConfig&quot;: { # Configuration specific to LivePerson (https://www.liveperson.com). # Uses LivePerson (https://www.liveperson.com).
&quot;accountNumber&quot;: &quot;A String&quot;, # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
},
&quot;salesforceLiveAgentConfig&quot;: { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
&quot;buttonId&quot;: &quot;A String&quot;, # Required. Live Agent chat button ID.
&quot;deploymentId&quot;: &quot;A String&quot;, # Required. Live Agent deployment ID.
&quot;endpointDomain&quot;: &quot;A String&quot;, # Required. Domain of the Live Agent endpoint for this agent. You can find the endpoint URL in the `Live Agent settings` page. For example if URL has the form https://d.la4-c2-phx.salesforceliveagent.com/..., you should fill in d.la4-c2-phx.salesforceliveagent.com.
&quot;organizationId&quot;: &quot;A String&quot;, # Required. The organization ID of the Salesforce account.
},
},
&quot;languageCode&quot;: &quot;A String&quot;, # Language which represents the conversationProfile. If unspecified, the default language code en-us applies. Users need to create a ConversationProfile for each language they want to support.
&quot;loggingConfig&quot;: { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
&quot;enableStackdriverLogging&quot;: True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
},
&quot;name&quot;: &quot;A String&quot;, # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
&quot;newMessageEventNotificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;sttConfig&quot;: { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
&quot;speechModelVariant&quot;: &quot;A String&quot;, # Optional. The speech model used in speech to text. `SPEECH_MODEL_VARIANT_UNSPECIFIED`, `USE_BEST_AVAILABLE` will be treated as `USE_ENHANCED`. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request.
},
&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Update time of the conversation profile.
}
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Defines the services to connect to incoming Dialogflow conversations.
&quot;automatedAgentConfig&quot;: { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
&quot;agent&quot;: &quot;A String&quot;, # Required. ID of the Dialogflow agent environment to use. This project needs to either be the same project as the conversation or you need to grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow API Service Agent` role in this project. Format: `projects//locations//agent/environments/`. If environment is not specified, the default `draft` environment is used. Refer to [DetectIntentRequest](/dialogflow/docs/reference/rpc/google.cloud.dialogflow.v2#google.cloud.dialogflow.v2.DetectIntentRequest) for more details.
},
&quot;createTime&quot;: &quot;A String&quot;, # Output only. Create time of the conversation profile.
&quot;displayName&quot;: &quot;A String&quot;, # Required. Human readable name for this profile. Max length 1024 bytes.
&quot;humanAgentAssistantConfig&quot;: { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
&quot;endUserSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of end user participant. Currently, this feature is not general available, please contact Google to get access.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;humanAgentSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;messageAnalysisConfig&quot;: { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
&quot;enableEntityExtraction&quot;: True or False, # Enable entity extraction in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Currently, this feature is not general available, please contact Google to get access.
&quot;enableSentimentAnalysis&quot;: True or False, # Enable sentiment analysis in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user&#x27;s attitude as positive, negative, or neutral: https://cloud.google.com/natural-language/docs/basics#sentiment_analysis For Participants.StreamingAnalyzeContent method, result will be in StreamingAnalyzeContentResponse.message.SentimentAnalysisResult. For Participants.AnalyzeContent method, result will be in AnalyzeContentResponse.message.SentimentAnalysisResult For Conversations.ListMessages method, result will be in ListMessagesResponse.messages.SentimentAnalysisResult If Pub/Sub notification is configured, result will be in ConversationEvent.new_message_payload.SentimentAnalysisResult.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
},
&quot;humanAgentHandoffConfig&quot;: { # Defines the hand off to a live agent, typically on which external agent service provider to connect to a conversation. Currently, this feature is not general available, please contact Google to get access. # Configuration for connecting to a live agent. Currently, this feature is not general available, please contact Google to get access.
&quot;livePersonConfig&quot;: { # Configuration specific to LivePerson (https://www.liveperson.com). # Uses LivePerson (https://www.liveperson.com).
&quot;accountNumber&quot;: &quot;A String&quot;, # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
},
&quot;salesforceLiveAgentConfig&quot;: { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
&quot;buttonId&quot;: &quot;A String&quot;, # Required. Live Agent chat button ID.
&quot;deploymentId&quot;: &quot;A String&quot;, # Required. Live Agent deployment ID.
&quot;endpointDomain&quot;: &quot;A String&quot;, # Required. Domain of the Live Agent endpoint for this agent. You can find the endpoint URL in the `Live Agent settings` page. For example if URL has the form https://d.la4-c2-phx.salesforceliveagent.com/..., you should fill in d.la4-c2-phx.salesforceliveagent.com.
&quot;organizationId&quot;: &quot;A String&quot;, # Required. The organization ID of the Salesforce account.
},
},
&quot;languageCode&quot;: &quot;A String&quot;, # Language which represents the conversationProfile. If unspecified, the default language code en-us applies. Users need to create a ConversationProfile for each language they want to support.
&quot;loggingConfig&quot;: { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
&quot;enableStackdriverLogging&quot;: True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
},
&quot;name&quot;: &quot;A String&quot;, # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
&quot;newMessageEventNotificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;sttConfig&quot;: { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
&quot;speechModelVariant&quot;: &quot;A String&quot;, # Optional. The speech model used in speech to text. `SPEECH_MODEL_VARIANT_UNSPECIFIED`, `USE_BEST_AVAILABLE` will be treated as `USE_ENHANCED`. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request.
},
&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Update time of the conversation profile.
}</pre>
</div>
<div class="method">
<code class="details" id="delete">delete(name, x__xgafv=None)</code>
<pre>Deletes the specified conversation profile.
Args:
name: string, Required. The name of the conversation profile to delete. Format: `projects//locations//conversationProfiles/`. (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`.
}</pre>
</div>
<div class="method">
<code class="details" id="get">get(name, x__xgafv=None)</code>
<pre>Retrieves the specified conversation profile.
Args:
name: string, Required. The resource name of the conversation profile. Format: `projects//locations//conversationProfiles/`. (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Defines the services to connect to incoming Dialogflow conversations.
&quot;automatedAgentConfig&quot;: { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
&quot;agent&quot;: &quot;A String&quot;, # Required. ID of the Dialogflow agent environment to use. This project needs to either be the same project as the conversation or you need to grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow API Service Agent` role in this project. Format: `projects//locations//agent/environments/`. If environment is not specified, the default `draft` environment is used. Refer to [DetectIntentRequest](/dialogflow/docs/reference/rpc/google.cloud.dialogflow.v2#google.cloud.dialogflow.v2.DetectIntentRequest) for more details.
},
&quot;createTime&quot;: &quot;A String&quot;, # Output only. Create time of the conversation profile.
&quot;displayName&quot;: &quot;A String&quot;, # Required. Human readable name for this profile. Max length 1024 bytes.
&quot;humanAgentAssistantConfig&quot;: { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
&quot;endUserSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of end user participant. Currently, this feature is not general available, please contact Google to get access.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;humanAgentSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;messageAnalysisConfig&quot;: { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
&quot;enableEntityExtraction&quot;: True or False, # Enable entity extraction in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Currently, this feature is not general available, please contact Google to get access.
&quot;enableSentimentAnalysis&quot;: True or False, # Enable sentiment analysis in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user&#x27;s attitude as positive, negative, or neutral: https://cloud.google.com/natural-language/docs/basics#sentiment_analysis For Participants.StreamingAnalyzeContent method, result will be in StreamingAnalyzeContentResponse.message.SentimentAnalysisResult. For Participants.AnalyzeContent method, result will be in AnalyzeContentResponse.message.SentimentAnalysisResult For Conversations.ListMessages method, result will be in ListMessagesResponse.messages.SentimentAnalysisResult If Pub/Sub notification is configured, result will be in ConversationEvent.new_message_payload.SentimentAnalysisResult.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
},
&quot;humanAgentHandoffConfig&quot;: { # Defines the hand off to a live agent, typically on which external agent service provider to connect to a conversation. Currently, this feature is not general available, please contact Google to get access. # Configuration for connecting to a live agent. Currently, this feature is not general available, please contact Google to get access.
&quot;livePersonConfig&quot;: { # Configuration specific to LivePerson (https://www.liveperson.com). # Uses LivePerson (https://www.liveperson.com).
&quot;accountNumber&quot;: &quot;A String&quot;, # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
},
&quot;salesforceLiveAgentConfig&quot;: { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
&quot;buttonId&quot;: &quot;A String&quot;, # Required. Live Agent chat button ID.
&quot;deploymentId&quot;: &quot;A String&quot;, # Required. Live Agent deployment ID.
&quot;endpointDomain&quot;: &quot;A String&quot;, # Required. Domain of the Live Agent endpoint for this agent. You can find the endpoint URL in the `Live Agent settings` page. For example if URL has the form https://d.la4-c2-phx.salesforceliveagent.com/..., you should fill in d.la4-c2-phx.salesforceliveagent.com.
&quot;organizationId&quot;: &quot;A String&quot;, # Required. The organization ID of the Salesforce account.
},
},
&quot;languageCode&quot;: &quot;A String&quot;, # Language which represents the conversationProfile. If unspecified, the default language code en-us applies. Users need to create a ConversationProfile for each language they want to support.
&quot;loggingConfig&quot;: { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
&quot;enableStackdriverLogging&quot;: True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
},
&quot;name&quot;: &quot;A String&quot;, # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
&quot;newMessageEventNotificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;sttConfig&quot;: { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
&quot;speechModelVariant&quot;: &quot;A String&quot;, # Optional. The speech model used in speech to text. `SPEECH_MODEL_VARIANT_UNSPECIFIED`, `USE_BEST_AVAILABLE` will be treated as `USE_ENHANCED`. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request.
},
&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Update time of the conversation profile.
}</pre>
</div>
<div class="method">
<code class="details" id="list">list(parent, pageSize=None, pageToken=None, x__xgafv=None)</code>
<pre>Returns the list of all conversation profiles in the specified project.
Args:
parent: string, Required. The project to list all conversation profiles from. Format: `projects//locations/`. (required)
pageSize: integer, The maximum number of items to return in a single page. By default 100 and at most 1000.
pageToken: string, The next_page_token value returned from a previous list request.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # The response message for ConversationProfiles.ListConversationProfiles.
&quot;conversationProfiles&quot;: [ # The list of project conversation profiles. There is a maximum number of items returned based on the page_size field in the request.
{ # Defines the services to connect to incoming Dialogflow conversations.
&quot;automatedAgentConfig&quot;: { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
&quot;agent&quot;: &quot;A String&quot;, # Required. ID of the Dialogflow agent environment to use. This project needs to either be the same project as the conversation or you need to grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow API Service Agent` role in this project. Format: `projects//locations//agent/environments/`. If environment is not specified, the default `draft` environment is used. Refer to [DetectIntentRequest](/dialogflow/docs/reference/rpc/google.cloud.dialogflow.v2#google.cloud.dialogflow.v2.DetectIntentRequest) for more details.
},
&quot;createTime&quot;: &quot;A String&quot;, # Output only. Create time of the conversation profile.
&quot;displayName&quot;: &quot;A String&quot;, # Required. Human readable name for this profile. Max length 1024 bytes.
&quot;humanAgentAssistantConfig&quot;: { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
&quot;endUserSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of end user participant. Currently, this feature is not general available, please contact Google to get access.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;humanAgentSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;messageAnalysisConfig&quot;: { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
&quot;enableEntityExtraction&quot;: True or False, # Enable entity extraction in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Currently, this feature is not general available, please contact Google to get access.
&quot;enableSentimentAnalysis&quot;: True or False, # Enable sentiment analysis in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user&#x27;s attitude as positive, negative, or neutral: https://cloud.google.com/natural-language/docs/basics#sentiment_analysis For Participants.StreamingAnalyzeContent method, result will be in StreamingAnalyzeContentResponse.message.SentimentAnalysisResult. For Participants.AnalyzeContent method, result will be in AnalyzeContentResponse.message.SentimentAnalysisResult For Conversations.ListMessages method, result will be in ListMessagesResponse.messages.SentimentAnalysisResult If Pub/Sub notification is configured, result will be in ConversationEvent.new_message_payload.SentimentAnalysisResult.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
},
&quot;humanAgentHandoffConfig&quot;: { # Defines the hand off to a live agent, typically on which external agent service provider to connect to a conversation. Currently, this feature is not general available, please contact Google to get access. # Configuration for connecting to a live agent. Currently, this feature is not general available, please contact Google to get access.
&quot;livePersonConfig&quot;: { # Configuration specific to LivePerson (https://www.liveperson.com). # Uses LivePerson (https://www.liveperson.com).
&quot;accountNumber&quot;: &quot;A String&quot;, # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
},
&quot;salesforceLiveAgentConfig&quot;: { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
&quot;buttonId&quot;: &quot;A String&quot;, # Required. Live Agent chat button ID.
&quot;deploymentId&quot;: &quot;A String&quot;, # Required. Live Agent deployment ID.
&quot;endpointDomain&quot;: &quot;A String&quot;, # Required. Domain of the Live Agent endpoint for this agent. You can find the endpoint URL in the `Live Agent settings` page. For example if URL has the form https://d.la4-c2-phx.salesforceliveagent.com/..., you should fill in d.la4-c2-phx.salesforceliveagent.com.
&quot;organizationId&quot;: &quot;A String&quot;, # Required. The organization ID of the Salesforce account.
},
},
&quot;languageCode&quot;: &quot;A String&quot;, # Language which represents the conversationProfile. If unspecified, the default language code en-us applies. Users need to create a ConversationProfile for each language they want to support.
&quot;loggingConfig&quot;: { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
&quot;enableStackdriverLogging&quot;: True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
},
&quot;name&quot;: &quot;A String&quot;, # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
&quot;newMessageEventNotificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;sttConfig&quot;: { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
&quot;speechModelVariant&quot;: &quot;A String&quot;, # Optional. The speech model used in speech to text. `SPEECH_MODEL_VARIANT_UNSPECIFIED`, `USE_BEST_AVAILABLE` will be treated as `USE_ENHANCED`. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request.
},
&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Update time of the conversation profile.
},
],
&quot;nextPageToken&quot;: &quot;A String&quot;, # Token to retrieve the next page of results, or empty if there are no more results in the list.
}</pre>
</div>
<div class="method">
<code class="details" id="list_next">list_next(previous_request, previous_response)</code>
<pre>Retrieves the next page of results.
Args:
previous_request: The request for the previous page. (required)
previous_response: The response from the request for the previous page. (required)
Returns:
A request object that you can call &#x27;execute()&#x27; on to request the next
page. Returns None if there are no more items in the collection.
</pre>
</div>
<div class="method">
<code class="details" id="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code>
<pre>Updates the specified conversation profile. ConversationProfile.CreateTime and ConversationProfile.UpdateTime aren&#x27;t populated in the response. You can retrieve them via GetConversationProfile API.
Args:
name: string, The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`. (required)
body: object, The request body.
The object takes the form of:
{ # Defines the services to connect to incoming Dialogflow conversations.
&quot;automatedAgentConfig&quot;: { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
&quot;agent&quot;: &quot;A String&quot;, # Required. ID of the Dialogflow agent environment to use. This project needs to either be the same project as the conversation or you need to grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow API Service Agent` role in this project. Format: `projects//locations//agent/environments/`. If environment is not specified, the default `draft` environment is used. Refer to [DetectIntentRequest](/dialogflow/docs/reference/rpc/google.cloud.dialogflow.v2#google.cloud.dialogflow.v2.DetectIntentRequest) for more details.
},
&quot;createTime&quot;: &quot;A String&quot;, # Output only. Create time of the conversation profile.
&quot;displayName&quot;: &quot;A String&quot;, # Required. Human readable name for this profile. Max length 1024 bytes.
&quot;humanAgentAssistantConfig&quot;: { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
&quot;endUserSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of end user participant. Currently, this feature is not general available, please contact Google to get access.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;humanAgentSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;messageAnalysisConfig&quot;: { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
&quot;enableEntityExtraction&quot;: True or False, # Enable entity extraction in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Currently, this feature is not general available, please contact Google to get access.
&quot;enableSentimentAnalysis&quot;: True or False, # Enable sentiment analysis in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user&#x27;s attitude as positive, negative, or neutral: https://cloud.google.com/natural-language/docs/basics#sentiment_analysis For Participants.StreamingAnalyzeContent method, result will be in StreamingAnalyzeContentResponse.message.SentimentAnalysisResult. For Participants.AnalyzeContent method, result will be in AnalyzeContentResponse.message.SentimentAnalysisResult For Conversations.ListMessages method, result will be in ListMessagesResponse.messages.SentimentAnalysisResult If Pub/Sub notification is configured, result will be in ConversationEvent.new_message_payload.SentimentAnalysisResult.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
},
&quot;humanAgentHandoffConfig&quot;: { # Defines the hand off to a live agent, typically on which external agent service provider to connect to a conversation. Currently, this feature is not general available, please contact Google to get access. # Configuration for connecting to a live agent. Currently, this feature is not general available, please contact Google to get access.
&quot;livePersonConfig&quot;: { # Configuration specific to LivePerson (https://www.liveperson.com). # Uses LivePerson (https://www.liveperson.com).
&quot;accountNumber&quot;: &quot;A String&quot;, # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
},
&quot;salesforceLiveAgentConfig&quot;: { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
&quot;buttonId&quot;: &quot;A String&quot;, # Required. Live Agent chat button ID.
&quot;deploymentId&quot;: &quot;A String&quot;, # Required. Live Agent deployment ID.
&quot;endpointDomain&quot;: &quot;A String&quot;, # Required. Domain of the Live Agent endpoint for this agent. You can find the endpoint URL in the `Live Agent settings` page. For example if URL has the form https://d.la4-c2-phx.salesforceliveagent.com/..., you should fill in d.la4-c2-phx.salesforceliveagent.com.
&quot;organizationId&quot;: &quot;A String&quot;, # Required. The organization ID of the Salesforce account.
},
},
&quot;languageCode&quot;: &quot;A String&quot;, # Language which represents the conversationProfile. If unspecified, the default language code en-us applies. Users need to create a ConversationProfile for each language they want to support.
&quot;loggingConfig&quot;: { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
&quot;enableStackdriverLogging&quot;: True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
},
&quot;name&quot;: &quot;A String&quot;, # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
&quot;newMessageEventNotificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;sttConfig&quot;: { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
&quot;speechModelVariant&quot;: &quot;A String&quot;, # Optional. The speech model used in speech to text. `SPEECH_MODEL_VARIANT_UNSPECIFIED`, `USE_BEST_AVAILABLE` will be treated as `USE_ENHANCED`. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request.
},
&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Update time of the conversation profile.
}
updateMask: string, Required. The mask to control which fields to update.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Defines the services to connect to incoming Dialogflow conversations.
&quot;automatedAgentConfig&quot;: { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
&quot;agent&quot;: &quot;A String&quot;, # Required. ID of the Dialogflow agent environment to use. This project needs to either be the same project as the conversation or you need to grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow API Service Agent` role in this project. Format: `projects//locations//agent/environments/`. If environment is not specified, the default `draft` environment is used. Refer to [DetectIntentRequest](/dialogflow/docs/reference/rpc/google.cloud.dialogflow.v2#google.cloud.dialogflow.v2.DetectIntentRequest) for more details.
},
&quot;createTime&quot;: &quot;A String&quot;, # Output only. Create time of the conversation profile.
&quot;displayName&quot;: &quot;A String&quot;, # Required. Human readable name for this profile. Max length 1024 bytes.
&quot;humanAgentAssistantConfig&quot;: { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
&quot;endUserSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of end user participant. Currently, this feature is not general available, please contact Google to get access.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;humanAgentSuggestionConfig&quot;: { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
&quot;featureConfigs&quot;: [ # Configuration of different suggestion features. One feature can have only one config.
{ # Config for suggestion features.
&quot;conversationModelConfig&quot;: { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY. # Configs of custom conversation model.
&quot;model&quot;: &quot;A String&quot;, # Conversation model resource name. Format: `projects//conversationModels/`.
},
&quot;enableEventBasedSuggestion&quot;: True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST.
&quot;queryConfig&quot;: { # Config for suggestion query. # Configs of query.
&quot;confidenceThreshold&quot;: 3.14, # Confidence threshold of query result. Agent Assist gives each suggestion a score in the range [0.0, 1.0], based on the relevance between the suggestion and the current conversation context. A score of 0.0 has no relevance, while a score of 1.0 has high relevance. Only suggestions with a score greater than or equal to the value of this field are included in the results. For a baseline model (the default), the recommended value is in the range [0.05, 0.1]. For a custom model, there is no recommended value. Tune this value by starting from a very low value and slowly increasing until you have desired results. If this field is not set, it defaults to 0.0, which means that all suggestions are returned. Supported features: ARTICLE_SUGGESTION.
&quot;contextFilterSettings&quot;: { # Settings that determine how to filter recent conversation context when generating suggestions. # Determines how recent conversation context is filtered when generating suggestions. If unspecified, no messages will be dropped.
&quot;dropHandoffMessages&quot;: True or False, # If set to true, the last message from virtual agent (hand off message) and the message before it (trigger message of hand off) are dropped.
&quot;dropIvrMessages&quot;: True or False, # If set to true, all messages from ivr stage are dropped.
&quot;dropVirtualAgentMessages&quot;: True or False, # If set to true, all messages from virtual agent are dropped.
},
&quot;dialogflowQuerySource&quot;: { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
&quot;agent&quot;: &quot;A String&quot;, # Required. The name of a Dialogflow virtual agent used for end user side intent detection and suggestion. Format: `projects//locations//agent`. When multiple agents are allowed in the same Dialogflow project.
},
&quot;documentQuerySource&quot;: { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
&quot;documents&quot;: [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
&quot;A String&quot;,
],
},
&quot;knowledgeBaseQuerySource&quot;: { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
&quot;knowledgeBases&quot;: [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
&quot;A String&quot;,
],
},
&quot;maxResults&quot;: 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
},
&quot;suggestionFeature&quot;: { # The type of Human Agent Assistant API suggestion to perform, and the maximum number of results to return for that type. Multiple `Feature` objects can be specified in the `features` list. # The suggestion feature.
&quot;type&quot;: &quot;A String&quot;, # Type of Human Agent Assistant API feature to request.
},
&quot;suggestionTriggerSettings&quot;: { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
&quot;noSmalltalk&quot;: True or False, # Do not trigger if last utterance is small talk.
&quot;onlyEndUser&quot;: True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
},
},
],
&quot;groupSuggestionResponses&quot;: True or False, # 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.
},
&quot;messageAnalysisConfig&quot;: { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
&quot;enableEntityExtraction&quot;: True or False, # Enable entity extraction in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Currently, this feature is not general available, please contact Google to get access.
&quot;enableSentimentAnalysis&quot;: True or False, # Enable sentiment analysis in conversation messages on [agent assist stage](https://cloud.google.com/dialogflow/priv/docs/contact-center/basics#stages). If unspecified, defaults to false. Sentiment analysis inspects user input and identifies the prevailing subjective opinion, especially to determine a user&#x27;s attitude as positive, negative, or neutral: https://cloud.google.com/natural-language/docs/basics#sentiment_analysis For Participants.StreamingAnalyzeContent method, result will be in StreamingAnalyzeContentResponse.message.SentimentAnalysisResult. For Participants.AnalyzeContent method, result will be in AnalyzeContentResponse.message.SentimentAnalysisResult For Conversations.ListMessages method, result will be in ListMessagesResponse.messages.SentimentAnalysisResult If Pub/Sub notification is configured, result will be in ConversationEvent.new_message_payload.SentimentAnalysisResult.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
},
&quot;humanAgentHandoffConfig&quot;: { # Defines the hand off to a live agent, typically on which external agent service provider to connect to a conversation. Currently, this feature is not general available, please contact Google to get access. # Configuration for connecting to a live agent. Currently, this feature is not general available, please contact Google to get access.
&quot;livePersonConfig&quot;: { # Configuration specific to LivePerson (https://www.liveperson.com). # Uses LivePerson (https://www.liveperson.com).
&quot;accountNumber&quot;: &quot;A String&quot;, # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
},
&quot;salesforceLiveAgentConfig&quot;: { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
&quot;buttonId&quot;: &quot;A String&quot;, # Required. Live Agent chat button ID.
&quot;deploymentId&quot;: &quot;A String&quot;, # Required. Live Agent deployment ID.
&quot;endpointDomain&quot;: &quot;A String&quot;, # Required. Domain of the Live Agent endpoint for this agent. You can find the endpoint URL in the `Live Agent settings` page. For example if URL has the form https://d.la4-c2-phx.salesforceliveagent.com/..., you should fill in d.la4-c2-phx.salesforceliveagent.com.
&quot;organizationId&quot;: &quot;A String&quot;, # Required. The organization ID of the Salesforce account.
},
},
&quot;languageCode&quot;: &quot;A String&quot;, # Language which represents the conversationProfile. If unspecified, the default language code en-us applies. Users need to create a ConversationProfile for each language they want to support.
&quot;loggingConfig&quot;: { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
&quot;enableStackdriverLogging&quot;: True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
},
&quot;name&quot;: &quot;A String&quot;, # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
&quot;newMessageEventNotificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;notificationConfig&quot;: { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
&quot;messageFormat&quot;: &quot;A String&quot;, # Format of message.
&quot;topic&quot;: &quot;A String&quot;, # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. Notification works for phone calls, if this topic either is in the same project as the conversation or you grant `service-@gcp-sa-dialogflow.iam.gserviceaccount.com` the `Dialogflow Service Agent` role in the topic project. Format: `projects//locations//topics/`.
},
&quot;sttConfig&quot;: { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
&quot;speechModelVariant&quot;: &quot;A String&quot;, # Optional. The speech model used in speech to text. `SPEECH_MODEL_VARIANT_UNSPECIFIED`, `USE_BEST_AVAILABLE` will be treated as `USE_ENHANCED`. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request.
},
&quot;updateTime&quot;: &quot;A String&quot;, # Output only. Update time of the conversation profile.
}</pre>
</div>
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