Dialogflow API . projects . conversationProfiles

clearSuggestionFeatureConfig(conversationProfile, body=None, x__xgafv=None)

Clears a suggestion feature from a conversation profile for the given participant role. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: ClearSuggestionFeatureConfigOperationMetadata - `response`: ConversationProfile

Args:
  conversationProfile: string, Required. The Conversation Profile to add or update the suggestion feature config. Format: `projects//locations//conversationProfiles/`. (required)
  body: object, The request body.
    The object takes the form of:

{ # The request message for ConversationProfiles.ClearSuggestionFeatureConfig.
  "participantRole": "A String", # Required. The participant role to remove the suggestion feature config. Only HUMAN_AGENT or END_USER can be used.
  "suggestionFeatureType": "A String", # Required. The type of the suggestion feature to remove.
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}

close()

Close httplib2 connections.

create(parent, body=None, x__xgafv=None)

Creates a conversation profile in the specified project. ConversationProfile.create_time and ConversationProfile.update_time aren'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.
  "automatedAgentConfig": { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
    "agent": "A String", # 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. - For ES agents, use 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. - For CX agents, use format `projects//locations//agents//environments/`. If environment is not specified, the default `draft` environment is used.
    "sessionTtl": "A String", # Optional. Configure lifetime of the Dialogflow session. By default, a Dialogflow CX session remains active and its data is stored for 30 minutes after the last request is sent for the session. This value should be no longer than 1 day.
  },
  "createTime": "A String", # Output only. Create time of the conversation profile.
  "displayName": "A String", # Required. Human readable name for this profile. Max length 1024 bytes.
  "humanAgentAssistantConfig": { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
    "endUserSuggestionConfig": { # 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.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "humanAgentSuggestionConfig": { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "messageAnalysisConfig": { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
      "enableEntityExtraction": 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.
      "enableSentimentAnalysis": 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'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.
    },
    "notificationConfig": { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
      "messageFormat": "A String", # Format of message.
      "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
    },
  },
  "humanAgentHandoffConfig": { # 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.
    "livePersonConfig": { # Configuration specific to [LivePerson](https://www.liveperson.com). # Uses [LivePerson](https://www.liveperson.com).
      "accountNumber": "A String", # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
    },
    "salesforceLiveAgentConfig": { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
      "buttonId": "A String", # Required. Live Agent chat button ID.
      "deploymentId": "A String", # Required. Live Agent deployment ID.
      "endpointDomain": "A String", # 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.
      "organizationId": "A String", # Required. The organization ID of the Salesforce account.
    },
  },
  "languageCode": "A String", # Language code for the conversation profile. If not specified, the language is en-US. Language at ConversationProfile should be set for all non en-US languages. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
  "loggingConfig": { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
    "enableStackdriverLogging": True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
  },
  "name": "A String", # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
  "newMessageEventNotificationConfig": { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "notificationConfig": { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "securitySettings": "A String", # Name of the CX SecuritySettings reference for the agent. Format: `projects//locations//securitySettings/`.
  "sttConfig": { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
    "audioEncoding": "A String", # Audio encoding of the audio content to process.
    "enableWordInfo": True or False, # If `true`, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
    "languageCode": "A String", # The language of the supplied audio. Dialogflow does not do translations. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
    "model": "A String", # Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics#select-model) for more details. If you specify a model, the following models typically have the best performance: - phone_call (best for Agent Assist and telephony) - latest_short (best for Dialogflow non-telephony) - command_and_search Leave this field unspecified to use [Agent Speech settings](https://cloud.google.com/dialogflow/cx/docs/concept/agent#settings-speech) for model selection.
    "phraseSets": [ # List of names of Cloud Speech phrase sets that are used for transcription.
      "A String",
    ],
    "sampleRateHertz": 42, # Sample rate (in Hertz) of the audio content sent in the query. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics) for more details.
    "speechModelVariant": "A String", # 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. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
    "useTimeoutBasedEndpointing": True or False, # Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
  },
  "timeZone": "A String", # The time zone of this conversational profile from the [time zone database](https://www.iana.org/time-zones), e.g., America/New_York, Europe/Paris. Defaults to America/New_York.
  "ttsConfig": { # Configuration of how speech should be synthesized. # Configuration for Text-to-Speech synthesization. Used by Phone Gateway to specify synthesization options. If agent defines synthesization options as well, agent settings overrides the option here.
    "effectsProfileId": [ # Optional. An identifier which selects 'audio effects' profiles that are applied on (post synthesized) text to speech. Effects are applied on top of each other in the order they are given.
      "A String",
    ],
    "pitch": 3.14, # Optional. Speaking pitch, in the range [-20.0, 20.0]. 20 means increase 20 semitones from the original pitch. -20 means decrease 20 semitones from the original pitch.
    "speakingRate": 3.14, # Optional. Speaking rate/speed, in the range [0.25, 4.0]. 1.0 is the normal native speed supported by the specific voice. 2.0 is twice as fast, and 0.5 is half as fast. If unset(0.0), defaults to the native 1.0 speed. Any other values < 0.25 or > 4.0 will return an error.
    "voice": { # Description of which voice to use for speech synthesis. # Optional. The desired voice of the synthesized audio.
      "name": "A String", # Optional. The name of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and ssml_gender.
      "ssmlGender": "A String", # Optional. The preferred gender of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and name. Note that this is only a preference, not requirement. If a voice of the appropriate gender is not available, the synthesizer should substitute a voice with a different gender rather than failing the request.
    },
    "volumeGainDb": 3.14, # Optional. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. We strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
  },
  "updateTime": "A String", # 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.
  "automatedAgentConfig": { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
    "agent": "A String", # 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. - For ES agents, use 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. - For CX agents, use format `projects//locations//agents//environments/`. If environment is not specified, the default `draft` environment is used.
    "sessionTtl": "A String", # Optional. Configure lifetime of the Dialogflow session. By default, a Dialogflow CX session remains active and its data is stored for 30 minutes after the last request is sent for the session. This value should be no longer than 1 day.
  },
  "createTime": "A String", # Output only. Create time of the conversation profile.
  "displayName": "A String", # Required. Human readable name for this profile. Max length 1024 bytes.
  "humanAgentAssistantConfig": { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
    "endUserSuggestionConfig": { # 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.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "humanAgentSuggestionConfig": { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "messageAnalysisConfig": { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
      "enableEntityExtraction": 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.
      "enableSentimentAnalysis": 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'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.
    },
    "notificationConfig": { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
      "messageFormat": "A String", # Format of message.
      "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
    },
  },
  "humanAgentHandoffConfig": { # 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.
    "livePersonConfig": { # Configuration specific to [LivePerson](https://www.liveperson.com). # Uses [LivePerson](https://www.liveperson.com).
      "accountNumber": "A String", # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
    },
    "salesforceLiveAgentConfig": { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
      "buttonId": "A String", # Required. Live Agent chat button ID.
      "deploymentId": "A String", # Required. Live Agent deployment ID.
      "endpointDomain": "A String", # 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.
      "organizationId": "A String", # Required. The organization ID of the Salesforce account.
    },
  },
  "languageCode": "A String", # Language code for the conversation profile. If not specified, the language is en-US. Language at ConversationProfile should be set for all non en-US languages. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
  "loggingConfig": { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
    "enableStackdriverLogging": True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
  },
  "name": "A String", # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
  "newMessageEventNotificationConfig": { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "notificationConfig": { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "securitySettings": "A String", # Name of the CX SecuritySettings reference for the agent. Format: `projects//locations//securitySettings/`.
  "sttConfig": { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
    "audioEncoding": "A String", # Audio encoding of the audio content to process.
    "enableWordInfo": True or False, # If `true`, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
    "languageCode": "A String", # The language of the supplied audio. Dialogflow does not do translations. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
    "model": "A String", # Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics#select-model) for more details. If you specify a model, the following models typically have the best performance: - phone_call (best for Agent Assist and telephony) - latest_short (best for Dialogflow non-telephony) - command_and_search Leave this field unspecified to use [Agent Speech settings](https://cloud.google.com/dialogflow/cx/docs/concept/agent#settings-speech) for model selection.
    "phraseSets": [ # List of names of Cloud Speech phrase sets that are used for transcription.
      "A String",
    ],
    "sampleRateHertz": 42, # Sample rate (in Hertz) of the audio content sent in the query. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics) for more details.
    "speechModelVariant": "A String", # 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. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
    "useTimeoutBasedEndpointing": True or False, # Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
  },
  "timeZone": "A String", # The time zone of this conversational profile from the [time zone database](https://www.iana.org/time-zones), e.g., America/New_York, Europe/Paris. Defaults to America/New_York.
  "ttsConfig": { # Configuration of how speech should be synthesized. # Configuration for Text-to-Speech synthesization. Used by Phone Gateway to specify synthesization options. If agent defines synthesization options as well, agent settings overrides the option here.
    "effectsProfileId": [ # Optional. An identifier which selects 'audio effects' profiles that are applied on (post synthesized) text to speech. Effects are applied on top of each other in the order they are given.
      "A String",
    ],
    "pitch": 3.14, # Optional. Speaking pitch, in the range [-20.0, 20.0]. 20 means increase 20 semitones from the original pitch. -20 means decrease 20 semitones from the original pitch.
    "speakingRate": 3.14, # Optional. Speaking rate/speed, in the range [0.25, 4.0]. 1.0 is the normal native speed supported by the specific voice. 2.0 is twice as fast, and 0.5 is half as fast. If unset(0.0), defaults to the native 1.0 speed. Any other values < 0.25 or > 4.0 will return an error.
    "voice": { # Description of which voice to use for speech synthesis. # Optional. The desired voice of the synthesized audio.
      "name": "A String", # Optional. The name of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and ssml_gender.
      "ssmlGender": "A String", # Optional. The preferred gender of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and name. Note that this is only a preference, not requirement. If a voice of the appropriate gender is not available, the synthesizer should substitute a voice with a different gender rather than failing the request.
    },
    "volumeGainDb": 3.14, # Optional. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. We strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
  },
  "updateTime": "A String", # Output only. Update time of the conversation profile.
}

delete(name, x__xgafv=None)

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); }
}

get(name, x__xgafv=None)

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.
  "automatedAgentConfig": { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
    "agent": "A String", # 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. - For ES agents, use 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. - For CX agents, use format `projects//locations//agents//environments/`. If environment is not specified, the default `draft` environment is used.
    "sessionTtl": "A String", # Optional. Configure lifetime of the Dialogflow session. By default, a Dialogflow CX session remains active and its data is stored for 30 minutes after the last request is sent for the session. This value should be no longer than 1 day.
  },
  "createTime": "A String", # Output only. Create time of the conversation profile.
  "displayName": "A String", # Required. Human readable name for this profile. Max length 1024 bytes.
  "humanAgentAssistantConfig": { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
    "endUserSuggestionConfig": { # 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.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "humanAgentSuggestionConfig": { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "messageAnalysisConfig": { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
      "enableEntityExtraction": 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.
      "enableSentimentAnalysis": 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'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.
    },
    "notificationConfig": { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
      "messageFormat": "A String", # Format of message.
      "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
    },
  },
  "humanAgentHandoffConfig": { # 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.
    "livePersonConfig": { # Configuration specific to [LivePerson](https://www.liveperson.com). # Uses [LivePerson](https://www.liveperson.com).
      "accountNumber": "A String", # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
    },
    "salesforceLiveAgentConfig": { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
      "buttonId": "A String", # Required. Live Agent chat button ID.
      "deploymentId": "A String", # Required. Live Agent deployment ID.
      "endpointDomain": "A String", # 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.
      "organizationId": "A String", # Required. The organization ID of the Salesforce account.
    },
  },
  "languageCode": "A String", # Language code for the conversation profile. If not specified, the language is en-US. Language at ConversationProfile should be set for all non en-US languages. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
  "loggingConfig": { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
    "enableStackdriverLogging": True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
  },
  "name": "A String", # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
  "newMessageEventNotificationConfig": { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "notificationConfig": { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "securitySettings": "A String", # Name of the CX SecuritySettings reference for the agent. Format: `projects//locations//securitySettings/`.
  "sttConfig": { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
    "audioEncoding": "A String", # Audio encoding of the audio content to process.
    "enableWordInfo": True or False, # If `true`, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
    "languageCode": "A String", # The language of the supplied audio. Dialogflow does not do translations. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
    "model": "A String", # Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics#select-model) for more details. If you specify a model, the following models typically have the best performance: - phone_call (best for Agent Assist and telephony) - latest_short (best for Dialogflow non-telephony) - command_and_search Leave this field unspecified to use [Agent Speech settings](https://cloud.google.com/dialogflow/cx/docs/concept/agent#settings-speech) for model selection.
    "phraseSets": [ # List of names of Cloud Speech phrase sets that are used for transcription.
      "A String",
    ],
    "sampleRateHertz": 42, # Sample rate (in Hertz) of the audio content sent in the query. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics) for more details.
    "speechModelVariant": "A String", # 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. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
    "useTimeoutBasedEndpointing": True or False, # Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
  },
  "timeZone": "A String", # The time zone of this conversational profile from the [time zone database](https://www.iana.org/time-zones), e.g., America/New_York, Europe/Paris. Defaults to America/New_York.
  "ttsConfig": { # Configuration of how speech should be synthesized. # Configuration for Text-to-Speech synthesization. Used by Phone Gateway to specify synthesization options. If agent defines synthesization options as well, agent settings overrides the option here.
    "effectsProfileId": [ # Optional. An identifier which selects 'audio effects' profiles that are applied on (post synthesized) text to speech. Effects are applied on top of each other in the order they are given.
      "A String",
    ],
    "pitch": 3.14, # Optional. Speaking pitch, in the range [-20.0, 20.0]. 20 means increase 20 semitones from the original pitch. -20 means decrease 20 semitones from the original pitch.
    "speakingRate": 3.14, # Optional. Speaking rate/speed, in the range [0.25, 4.0]. 1.0 is the normal native speed supported by the specific voice. 2.0 is twice as fast, and 0.5 is half as fast. If unset(0.0), defaults to the native 1.0 speed. Any other values < 0.25 or > 4.0 will return an error.
    "voice": { # Description of which voice to use for speech synthesis. # Optional. The desired voice of the synthesized audio.
      "name": "A String", # Optional. The name of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and ssml_gender.
      "ssmlGender": "A String", # Optional. The preferred gender of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and name. Note that this is only a preference, not requirement. If a voice of the appropriate gender is not available, the synthesizer should substitute a voice with a different gender rather than failing the request.
    },
    "volumeGainDb": 3.14, # Optional. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. We strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
  },
  "updateTime": "A String", # Output only. Update time of the conversation profile.
}

list(parent, pageSize=None, pageToken=None, x__xgafv=None)

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.
  "conversationProfiles": [ # 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.
      "automatedAgentConfig": { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
        "agent": "A String", # 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. - For ES agents, use 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. - For CX agents, use format `projects//locations//agents//environments/`. If environment is not specified, the default `draft` environment is used.
        "sessionTtl": "A String", # Optional. Configure lifetime of the Dialogflow session. By default, a Dialogflow CX session remains active and its data is stored for 30 minutes after the last request is sent for the session. This value should be no longer than 1 day.
      },
      "createTime": "A String", # Output only. Create time of the conversation profile.
      "displayName": "A String", # Required. Human readable name for this profile. Max length 1024 bytes.
      "humanAgentAssistantConfig": { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
        "endUserSuggestionConfig": { # 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.
          "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
          "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
            { # Config for suggestion features.
              "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
                "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
                "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
              },
              "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
                "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
              },
              "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
              "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
              "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
              "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
              "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
              "queryConfig": { # Config for suggestion query. # Configs of query.
                "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
                "contextFilterSettings": { # 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.
                  "dropHandoffMessages": 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.
                  "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
                  "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
                },
                "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
                "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
                  "agent": "A String", # 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.
                  "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                    "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
                  },
                },
                "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
                  "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                    "A String",
                  ],
                },
                "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
                  "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                    "A String",
                  ],
                },
                "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
                "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
                  "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                    "A String",
                  ],
                },
              },
              "suggestionFeature": { # 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.
                "type": "A String", # Type of Human Agent Assistant API feature to request.
              },
              "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
                "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
                "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
              },
            },
          ],
          "generators": [ # Optional. List of various generator resource names used in the conversation profile.
            "A String",
          ],
          "groupSuggestionResponses": 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.
        },
        "humanAgentSuggestionConfig": { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
          "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
          "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
            { # Config for suggestion features.
              "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
                "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
                "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
              },
              "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
                "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
              },
              "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
              "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
              "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
              "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
              "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
              "queryConfig": { # Config for suggestion query. # Configs of query.
                "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
                "contextFilterSettings": { # 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.
                  "dropHandoffMessages": 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.
                  "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
                  "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
                },
                "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
                "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
                  "agent": "A String", # 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.
                  "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                    "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
                  },
                },
                "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
                  "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                    "A String",
                  ],
                },
                "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
                  "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                    "A String",
                  ],
                },
                "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
                "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
                  "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                    "A String",
                  ],
                },
              },
              "suggestionFeature": { # 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.
                "type": "A String", # Type of Human Agent Assistant API feature to request.
              },
              "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
                "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
                "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
              },
            },
          ],
          "generators": [ # Optional. List of various generator resource names used in the conversation profile.
            "A String",
          ],
          "groupSuggestionResponses": 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.
        },
        "messageAnalysisConfig": { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
          "enableEntityExtraction": 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.
          "enableSentimentAnalysis": 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'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.
        },
        "notificationConfig": { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
          "messageFormat": "A String", # Format of message.
          "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
        },
      },
      "humanAgentHandoffConfig": { # 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.
        "livePersonConfig": { # Configuration specific to [LivePerson](https://www.liveperson.com). # Uses [LivePerson](https://www.liveperson.com).
          "accountNumber": "A String", # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
        },
        "salesforceLiveAgentConfig": { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
          "buttonId": "A String", # Required. Live Agent chat button ID.
          "deploymentId": "A String", # Required. Live Agent deployment ID.
          "endpointDomain": "A String", # 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.
          "organizationId": "A String", # Required. The organization ID of the Salesforce account.
        },
      },
      "languageCode": "A String", # Language code for the conversation profile. If not specified, the language is en-US. Language at ConversationProfile should be set for all non en-US languages. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
      "loggingConfig": { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
        "enableStackdriverLogging": True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
      },
      "name": "A String", # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
      "newMessageEventNotificationConfig": { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
        "messageFormat": "A String", # Format of message.
        "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
      },
      "notificationConfig": { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
        "messageFormat": "A String", # Format of message.
        "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
      },
      "securitySettings": "A String", # Name of the CX SecuritySettings reference for the agent. Format: `projects//locations//securitySettings/`.
      "sttConfig": { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
        "audioEncoding": "A String", # Audio encoding of the audio content to process.
        "enableWordInfo": True or False, # If `true`, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
        "languageCode": "A String", # The language of the supplied audio. Dialogflow does not do translations. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
        "model": "A String", # Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics#select-model) for more details. If you specify a model, the following models typically have the best performance: - phone_call (best for Agent Assist and telephony) - latest_short (best for Dialogflow non-telephony) - command_and_search Leave this field unspecified to use [Agent Speech settings](https://cloud.google.com/dialogflow/cx/docs/concept/agent#settings-speech) for model selection.
        "phraseSets": [ # List of names of Cloud Speech phrase sets that are used for transcription.
          "A String",
        ],
        "sampleRateHertz": 42, # Sample rate (in Hertz) of the audio content sent in the query. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics) for more details.
        "speechModelVariant": "A String", # 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. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
        "useTimeoutBasedEndpointing": True or False, # Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
      },
      "timeZone": "A String", # The time zone of this conversational profile from the [time zone database](https://www.iana.org/time-zones), e.g., America/New_York, Europe/Paris. Defaults to America/New_York.
      "ttsConfig": { # Configuration of how speech should be synthesized. # Configuration for Text-to-Speech synthesization. Used by Phone Gateway to specify synthesization options. If agent defines synthesization options as well, agent settings overrides the option here.
        "effectsProfileId": [ # Optional. An identifier which selects 'audio effects' profiles that are applied on (post synthesized) text to speech. Effects are applied on top of each other in the order they are given.
          "A String",
        ],
        "pitch": 3.14, # Optional. Speaking pitch, in the range [-20.0, 20.0]. 20 means increase 20 semitones from the original pitch. -20 means decrease 20 semitones from the original pitch.
        "speakingRate": 3.14, # Optional. Speaking rate/speed, in the range [0.25, 4.0]. 1.0 is the normal native speed supported by the specific voice. 2.0 is twice as fast, and 0.5 is half as fast. If unset(0.0), defaults to the native 1.0 speed. Any other values < 0.25 or > 4.0 will return an error.
        "voice": { # Description of which voice to use for speech synthesis. # Optional. The desired voice of the synthesized audio.
          "name": "A String", # Optional. The name of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and ssml_gender.
          "ssmlGender": "A String", # Optional. The preferred gender of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and name. Note that this is only a preference, not requirement. If a voice of the appropriate gender is not available, the synthesizer should substitute a voice with a different gender rather than failing the request.
        },
        "volumeGainDb": 3.14, # Optional. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. We strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
      },
      "updateTime": "A String", # Output only. Update time of the conversation profile.
    },
  ],
  "nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list.
}

list_next()

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 'execute()' on to request the next
          page. Returns None if there are no more items in the collection.
        

patch(name, body=None, updateMask=None, x__xgafv=None)

Updates the specified conversation profile. ConversationProfile.create_time and ConversationProfile.update_time aren'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.
  "automatedAgentConfig": { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
    "agent": "A String", # 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. - For ES agents, use 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. - For CX agents, use format `projects//locations//agents//environments/`. If environment is not specified, the default `draft` environment is used.
    "sessionTtl": "A String", # Optional. Configure lifetime of the Dialogflow session. By default, a Dialogflow CX session remains active and its data is stored for 30 minutes after the last request is sent for the session. This value should be no longer than 1 day.
  },
  "createTime": "A String", # Output only. Create time of the conversation profile.
  "displayName": "A String", # Required. Human readable name for this profile. Max length 1024 bytes.
  "humanAgentAssistantConfig": { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
    "endUserSuggestionConfig": { # 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.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "humanAgentSuggestionConfig": { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "messageAnalysisConfig": { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
      "enableEntityExtraction": 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.
      "enableSentimentAnalysis": 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'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.
    },
    "notificationConfig": { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
      "messageFormat": "A String", # Format of message.
      "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
    },
  },
  "humanAgentHandoffConfig": { # 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.
    "livePersonConfig": { # Configuration specific to [LivePerson](https://www.liveperson.com). # Uses [LivePerson](https://www.liveperson.com).
      "accountNumber": "A String", # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
    },
    "salesforceLiveAgentConfig": { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
      "buttonId": "A String", # Required. Live Agent chat button ID.
      "deploymentId": "A String", # Required. Live Agent deployment ID.
      "endpointDomain": "A String", # 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.
      "organizationId": "A String", # Required. The organization ID of the Salesforce account.
    },
  },
  "languageCode": "A String", # Language code for the conversation profile. If not specified, the language is en-US. Language at ConversationProfile should be set for all non en-US languages. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
  "loggingConfig": { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
    "enableStackdriverLogging": True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
  },
  "name": "A String", # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
  "newMessageEventNotificationConfig": { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "notificationConfig": { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "securitySettings": "A String", # Name of the CX SecuritySettings reference for the agent. Format: `projects//locations//securitySettings/`.
  "sttConfig": { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
    "audioEncoding": "A String", # Audio encoding of the audio content to process.
    "enableWordInfo": True or False, # If `true`, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
    "languageCode": "A String", # The language of the supplied audio. Dialogflow does not do translations. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
    "model": "A String", # Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics#select-model) for more details. If you specify a model, the following models typically have the best performance: - phone_call (best for Agent Assist and telephony) - latest_short (best for Dialogflow non-telephony) - command_and_search Leave this field unspecified to use [Agent Speech settings](https://cloud.google.com/dialogflow/cx/docs/concept/agent#settings-speech) for model selection.
    "phraseSets": [ # List of names of Cloud Speech phrase sets that are used for transcription.
      "A String",
    ],
    "sampleRateHertz": 42, # Sample rate (in Hertz) of the audio content sent in the query. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics) for more details.
    "speechModelVariant": "A String", # 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. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
    "useTimeoutBasedEndpointing": True or False, # Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
  },
  "timeZone": "A String", # The time zone of this conversational profile from the [time zone database](https://www.iana.org/time-zones), e.g., America/New_York, Europe/Paris. Defaults to America/New_York.
  "ttsConfig": { # Configuration of how speech should be synthesized. # Configuration for Text-to-Speech synthesization. Used by Phone Gateway to specify synthesization options. If agent defines synthesization options as well, agent settings overrides the option here.
    "effectsProfileId": [ # Optional. An identifier which selects 'audio effects' profiles that are applied on (post synthesized) text to speech. Effects are applied on top of each other in the order they are given.
      "A String",
    ],
    "pitch": 3.14, # Optional. Speaking pitch, in the range [-20.0, 20.0]. 20 means increase 20 semitones from the original pitch. -20 means decrease 20 semitones from the original pitch.
    "speakingRate": 3.14, # Optional. Speaking rate/speed, in the range [0.25, 4.0]. 1.0 is the normal native speed supported by the specific voice. 2.0 is twice as fast, and 0.5 is half as fast. If unset(0.0), defaults to the native 1.0 speed. Any other values < 0.25 or > 4.0 will return an error.
    "voice": { # Description of which voice to use for speech synthesis. # Optional. The desired voice of the synthesized audio.
      "name": "A String", # Optional. The name of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and ssml_gender.
      "ssmlGender": "A String", # Optional. The preferred gender of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and name. Note that this is only a preference, not requirement. If a voice of the appropriate gender is not available, the synthesizer should substitute a voice with a different gender rather than failing the request.
    },
    "volumeGainDb": 3.14, # Optional. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. We strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
  },
  "updateTime": "A String", # 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.
  "automatedAgentConfig": { # Defines the Automated Agent to connect to a conversation. # Configuration for an automated agent to use with this profile.
    "agent": "A String", # 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. - For ES agents, use 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. - For CX agents, use format `projects//locations//agents//environments/`. If environment is not specified, the default `draft` environment is used.
    "sessionTtl": "A String", # Optional. Configure lifetime of the Dialogflow session. By default, a Dialogflow CX session remains active and its data is stored for 30 minutes after the last request is sent for the session. This value should be no longer than 1 day.
  },
  "createTime": "A String", # Output only. Create time of the conversation profile.
  "displayName": "A String", # Required. Human readable name for this profile. Max length 1024 bytes.
  "humanAgentAssistantConfig": { # Defines the Human Agent Assist to connect to a conversation. # Configuration for agent assistance to use with this profile.
    "endUserSuggestionConfig": { # 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.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "humanAgentSuggestionConfig": { # Detail human agent assistant config. # Configuration for agent assistance of human agent participant.
      "disableHighLatencyFeaturesSyncDelivery": True or False, # Optional. When disable_high_latency_features_sync_delivery is true and using the AnalyzeContent API, we will not deliver the responses from high latency features in the API response. The human_agent_assistant_config.notification_config must be configured and enable_event_based_suggestion must be set to true to receive the responses from high latency features in Pub/Sub. High latency feature(s): KNOWLEDGE_ASSIST
      "featureConfigs": [ # Configuration of different suggestion features. One feature can have only one config.
        { # Config for suggestion features.
          "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
            "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
            "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
          },
          "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
            "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
          },
          "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
          "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
          "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
          "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
          "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
          "queryConfig": { # Config for suggestion query. # Configs of query.
            "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
            "contextFilterSettings": { # 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.
              "dropHandoffMessages": 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.
              "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
              "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
            },
            "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
            "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
              "agent": "A String", # 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.
              "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
                "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
              },
            },
            "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
              "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
                "A String",
              ],
            },
            "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
              "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
                "A String",
              ],
            },
            "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
            "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
              "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
                "A String",
              ],
            },
          },
          "suggestionFeature": { # 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.
            "type": "A String", # Type of Human Agent Assistant API feature to request.
          },
          "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
            "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
            "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
          },
        },
      ],
      "generators": [ # Optional. List of various generator resource names used in the conversation profile.
        "A String",
      ],
      "groupSuggestionResponses": 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.
    },
    "messageAnalysisConfig": { # Configuration for analyses to run on each conversation message. # Configuration for message analysis.
      "enableEntityExtraction": 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.
      "enableSentimentAnalysis": 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'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.
    },
    "notificationConfig": { # Defines notification behavior. # Pub/Sub topic on which to publish new agent assistant events.
      "messageFormat": "A String", # Format of message.
      "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
    },
  },
  "humanAgentHandoffConfig": { # 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.
    "livePersonConfig": { # Configuration specific to [LivePerson](https://www.liveperson.com). # Uses [LivePerson](https://www.liveperson.com).
      "accountNumber": "A String", # Required. Account number of the LivePerson account to connect. This is the account number you input at the login page.
    },
    "salesforceLiveAgentConfig": { # Configuration specific to Salesforce Live Agent. # Uses Salesforce Live Agent.
      "buttonId": "A String", # Required. Live Agent chat button ID.
      "deploymentId": "A String", # Required. Live Agent deployment ID.
      "endpointDomain": "A String", # 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.
      "organizationId": "A String", # Required. The organization ID of the Salesforce account.
    },
  },
  "languageCode": "A String", # Language code for the conversation profile. If not specified, the language is en-US. Language at ConversationProfile should be set for all non en-US languages. This should be a [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
  "loggingConfig": { # Defines logging behavior for conversation lifecycle events. # Configuration for logging conversation lifecycle events.
    "enableStackdriverLogging": True or False, # Whether to log conversation events like CONVERSATION_STARTED to Stackdriver in the conversation project as JSON format ConversationEvent protos.
  },
  "name": "A String", # The unique identifier of this conversation profile. Format: `projects//locations//conversationProfiles/`.
  "newMessageEventNotificationConfig": { # Defines notification behavior. # Configuration for publishing new message events. Event will be sent in format of ConversationEvent
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "notificationConfig": { # Defines notification behavior. # Configuration for publishing conversation lifecycle events.
    "messageFormat": "A String", # Format of message.
    "topic": "A String", # Name of the Pub/Sub topic to publish conversation events like CONVERSATION_STARTED as serialized ConversationEvent protos. For telephony integration to receive notification, make sure either this topic 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. For chat integration to receive notification, make sure API caller has been granted the `Dialogflow Service Agent` role for the topic. Format: `projects//locations//topics/`.
  },
  "securitySettings": "A String", # Name of the CX SecuritySettings reference for the agent. Format: `projects//locations//securitySettings/`.
  "sttConfig": { # Configures speech transcription for ConversationProfile. # Settings for speech transcription.
    "audioEncoding": "A String", # Audio encoding of the audio content to process.
    "enableWordInfo": True or False, # If `true`, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
    "languageCode": "A String", # The language of the supplied audio. Dialogflow does not do translations. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
    "model": "A String", # Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics#select-model) for more details. If you specify a model, the following models typically have the best performance: - phone_call (best for Agent Assist and telephony) - latest_short (best for Dialogflow non-telephony) - command_and_search Leave this field unspecified to use [Agent Speech settings](https://cloud.google.com/dialogflow/cx/docs/concept/agent#settings-speech) for model selection.
    "phraseSets": [ # List of names of Cloud Speech phrase sets that are used for transcription.
      "A String",
    ],
    "sampleRateHertz": 42, # Sample rate (in Hertz) of the audio content sent in the query. Refer to [Cloud Speech API documentation](https://cloud.google.com/speech-to-text/docs/basics) for more details.
    "speechModelVariant": "A String", # 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. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
    "useTimeoutBasedEndpointing": True or False, # Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
  },
  "timeZone": "A String", # The time zone of this conversational profile from the [time zone database](https://www.iana.org/time-zones), e.g., America/New_York, Europe/Paris. Defaults to America/New_York.
  "ttsConfig": { # Configuration of how speech should be synthesized. # Configuration for Text-to-Speech synthesization. Used by Phone Gateway to specify synthesization options. If agent defines synthesization options as well, agent settings overrides the option here.
    "effectsProfileId": [ # Optional. An identifier which selects 'audio effects' profiles that are applied on (post synthesized) text to speech. Effects are applied on top of each other in the order they are given.
      "A String",
    ],
    "pitch": 3.14, # Optional. Speaking pitch, in the range [-20.0, 20.0]. 20 means increase 20 semitones from the original pitch. -20 means decrease 20 semitones from the original pitch.
    "speakingRate": 3.14, # Optional. Speaking rate/speed, in the range [0.25, 4.0]. 1.0 is the normal native speed supported by the specific voice. 2.0 is twice as fast, and 0.5 is half as fast. If unset(0.0), defaults to the native 1.0 speed. Any other values < 0.25 or > 4.0 will return an error.
    "voice": { # Description of which voice to use for speech synthesis. # Optional. The desired voice of the synthesized audio.
      "name": "A String", # Optional. The name of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and ssml_gender.
      "ssmlGender": "A String", # Optional. The preferred gender of the voice. If not set, the service will choose a voice based on the other parameters such as language_code and name. Note that this is only a preference, not requirement. If a voice of the appropriate gender is not available, the synthesizer should substitute a voice with a different gender rather than failing the request.
    },
    "volumeGainDb": 3.14, # Optional. Volume gain (in dB) of the normal native volume supported by the specific voice, in the range [-96.0, 16.0]. If unset, or set to a value of 0.0 (dB), will play at normal native signal amplitude. A value of -6.0 (dB) will play at approximately half the amplitude of the normal native signal amplitude. A value of +6.0 (dB) will play at approximately twice the amplitude of the normal native signal amplitude. We strongly recommend not to exceed +10 (dB) as there's usually no effective increase in loudness for any value greater than that.
  },
  "updateTime": "A String", # Output only. Update time of the conversation profile.
}

setSuggestionFeatureConfig(conversationProfile, body=None, x__xgafv=None)

Adds or updates a suggestion feature in a conversation profile. If the conversation profile contains the type of suggestion feature for the participant role, it will update it. Otherwise it will insert the suggestion feature. This method is a [long-running operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations). The returned `Operation` type has the following method-specific fields: - `metadata`: SetSuggestionFeatureConfigOperationMetadata - `response`: ConversationProfile If a long running operation to add or update suggestion feature config for the same conversation profile, participant role and suggestion feature type exists, please cancel the existing long running operation before sending such request, otherwise the request will be rejected.

Args:
  conversationProfile: string, Required. The Conversation Profile to add or update the suggestion feature config. Format: `projects//locations//conversationProfiles/`. (required)
  body: object, The request body.
    The object takes the form of:

{ # The request message for ConversationProfiles.SetSuggestionFeatureConfig.
  "participantRole": "A String", # Required. The participant role to add or update the suggestion feature config. Only HUMAN_AGENT or END_USER can be used.
  "suggestionFeatureConfig": { # Config for suggestion features. # Required. The suggestion feature config to add or update.
    "conversationModelConfig": { # Custom conversation models used in agent assist feature. Supported feature: ARTICLE_SUGGESTION, SMART_COMPOSE, SMART_REPLY, CONVERSATION_SUMMARIZATION. # Configs of custom conversation model.
      "baselineModelVersion": "A String", # Version of current baseline model. It will be ignored if model is set. Valid versions are: Article Suggestion baseline model: - 0.9 - 1.0 (default) Summarization baseline model: - 1.0
      "model": "A String", # Conversation model resource name. Format: `projects//conversationModels/`.
    },
    "conversationProcessConfig": { # Config to process conversation. # Configs for processing conversation.
      "recentSentencesCount": 42, # Number of recent non-small-talk sentences to use as context for article and FAQ suggestion
    },
    "disableAgentQueryLogging": True or False, # Optional. Disable the logging of search queries sent by human agents. It can prevent those queries from being stored at answer records. Supported features: KNOWLEDGE_SEARCH.
    "enableConversationAugmentedQuery": True or False, # Optional. Enable including conversation context during query answer generation. Supported features: KNOWLEDGE_SEARCH.
    "enableEventBasedSuggestion": True or False, # Automatically iterates all participants and tries to compile suggestions. Supported features: ARTICLE_SUGGESTION, FAQ, DIALOGFLOW_ASSIST, KNOWLEDGE_ASSIST.
    "enableQuerySuggestionOnly": True or False, # Optional. Enable query suggestion only. Supported features: KNOWLEDGE_ASSIST
    "enableQuerySuggestionWhenNoAnswer": True or False, # Optional. Enable query suggestion even if we can't find its answer. By default, queries are suggested only if we find its answer. Supported features: KNOWLEDGE_ASSIST
    "queryConfig": { # Config for suggestion query. # Configs of query.
      "confidenceThreshold": 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, FAQ, SMART_REPLY, SMART_COMPOSE, KNOWLEDGE_SEARCH, KNOWLEDGE_ASSIST, ENTITY_EXTRACTION.
      "contextFilterSettings": { # 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.
        "dropHandoffMessages": 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.
        "dropIvrMessages": True or False, # If set to true, all messages from ivr stage are dropped.
        "dropVirtualAgentMessages": True or False, # If set to true, all messages from virtual agent are dropped.
      },
      "contextSize": 42, # Optional. The number of recent messages to include in the context. Supported features: KNOWLEDGE_ASSIST.
      "dialogflowQuerySource": { # Dialogflow source setting. Supported feature: DIALOGFLOW_ASSIST. # Query from Dialogflow agent. It is used by DIALOGFLOW_ASSIST.
        "agent": "A String", # 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.
        "humanAgentSideConfig": { # The configuration used for human agent side Dialogflow assist suggestion. # Optional. The Dialogflow assist configuration for human agent.
          "agent": "A String", # Optional. The name of a dialogflow virtual agent used for intent detection and suggestion triggered by human agent. Format: `projects//locations//agent`.
        },
      },
      "documentQuerySource": { # Document source settings. Supported features: SMART_REPLY, SMART_COMPOSE. # Query from knowledge base document. It is used by: SMART_REPLY, SMART_COMPOSE.
        "documents": [ # Required. Knowledge documents to query from. Format: `projects//locations//knowledgeBases//documents/`. Currently, at most 5 documents are supported.
          "A String",
        ],
      },
      "knowledgeBaseQuerySource": { # Knowledge base source settings. Supported features: ARTICLE_SUGGESTION, FAQ. # Query from knowledgebase. It is used by: ARTICLE_SUGGESTION, FAQ.
        "knowledgeBases": [ # Required. Knowledge bases to query. Format: `projects//locations//knowledgeBases/`. Currently, at most 5 knowledge bases are supported.
          "A String",
        ],
      },
      "maxResults": 42, # Maximum number of results to return. Currently, if unset, defaults to 10. And the max number is 20.
      "sections": { # Custom sections to return when requesting a summary of a conversation. This is only supported when `baseline_model_version` == '2.0'. Supported features: CONVERSATION_SUMMARIZATION, CONVERSATION_SUMMARIZATION_VOICE. # Optional. The customized sections chosen to return when requesting a summary of a conversation.
        "sectionTypes": [ # The selected sections chosen to return when requesting a summary of a conversation. A duplicate selected section will be treated as a single selected section. If section types are not provided, the default will be {SITUATION, ACTION, RESULT}.
          "A String",
        ],
      },
    },
    "suggestionFeature": { # 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.
      "type": "A String", # Type of Human Agent Assistant API feature to request.
    },
    "suggestionTriggerSettings": { # Settings of suggestion trigger. # Settings of suggestion trigger. Currently, only ARTICLE_SUGGESTION and FAQ will use this field.
      "noSmalltalk": True or False, # Do not trigger if last utterance is small talk.
      "onlyEndUser": True or False, # Only trigger suggestion if participant role of last utterance is END_USER.
    },
  },
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
      {
        "a_key": "", # Properties of the object. Contains field @type with type URL.
      },
    ],
    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  },
  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
    "a_key": "", # Properties of the object. Contains field @type with type URL.
  },
}