Dialogflow Agent

A Dialogflow Agent is a Google Cloud resource that enables the creation of conversational interfaces such as chatbots and voice assistants. It uses natural language understanding to interpret user input and manage conversation flow. The agent can be trained with intents, entities, and contexts to handle various user queries and integrate with multiple platforms like Google Assistant, websites, or messaging apps.

gcp.dialogflow_agent

Fields

TitleIDTypeData TypeDescription
_keycorestring
ancestorscorearray<string>
api_versioncorestringOptional. API version displayed in Dialogflow console. If not specified, V2 API is assumed. Clients are free to query different service endpoints for different API versions. However, bots connectors and webhook calls will follow the specified API version. Possible values: ['API_VERSION_UNSPECIFIED', 'API_VERSION_V1', 'API_VERSION_V2', 'API_VERSION_V2_BETA_1']. Values descriptions: ['Not specified.', 'Legacy V1 API.', 'V2 API.', 'V2beta1 API.']
avatar_uricorestringOptional. The URI of the agent's avatar. Avatars are used throughout the Dialogflow console and in the self-hosted [Web Demo](https://cloud.google.com/dialogflow/docs/integrations/web-demo) integration.
classification_thresholdcorefloat64Optional. To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a fallback intent will be triggered or, if there are no fallback intents defined, no intent will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used.
datadog_display_namecorestring
default_language_codecorestringRequired. The default language of the agent as a language tag. See [Language Support](https://cloud.google.com/dialogflow/docs/reference/language) for a list of the currently supported language codes. This field cannot be set by the `Update` method.
descriptioncorestringOptional. The description of this agent. The maximum length is 500 characters. If exceeded, the request is rejected.
enable_loggingcoreboolOptional. Determines whether this agent should log conversation queries.
gcp_display_namecorestringRequired. The name of this agent.
labelscorearray<string>
match_modecorestringOptional. Determines how intents are detected from user queries. Possible values: ['MATCH_MODE_UNSPECIFIED', 'MATCH_MODE_HYBRID', 'MATCH_MODE_ML_ONLY']. Values descriptions: ['Not specified.', 'Best for agents with a small number of examples in intents and/or wide use of templates syntax and composite entities.', 'Can be used for agents with a large number of examples in intents, especially the ones using @sys.any or very large custom entities.']
organization_idcorestring
parentcorestring
project_idcorestring
project_numbercorestring
region_idcorestring
resource_namecorestring
supported_language_codescorearray<string>Optional. The list of all languages supported by this agent (except for the `default_language_code`).
tagscorehstore_csv
tiercorestringOptional. The agent tier. If not specified, TIER_STANDARD is assumed. Possible values: ['TIER_UNSPECIFIED', 'TIER_STANDARD', 'TIER_ENTERPRISE', 'TIER_ENTERPRISE_PLUS']. Values descriptions: ['Not specified. This value should never be used.', 'Trial Edition, previously known as Standard Edition.', 'Essentials Edition, previously known as Enterprise Essential Edition.', 'Essentials Edition (same as TIER_ENTERPRISE), previously known as Enterprise Plus Edition.']
time_zonecorestringRequired. The time zone of this agent from the [time zone database](https://www.iana.org/time-zones), e.g., America/New_York, Europe/Paris.
zone_idcorestring