pub struct GoogleCloudDialogflowV2Agent {
pub api_version: Option<String>,
pub avatar_uri: Option<String>,
pub classification_threshold: Option<f32>,
pub default_language_code: Option<String>,
pub description: Option<String>,
pub display_name: Option<String>,
pub enable_logging: Option<bool>,
pub match_mode: Option<String>,
pub parent: Option<String>,
pub supported_language_codes: Option<Vec<String>>,
pub tier: Option<String>,
pub time_zone: Option<String>,
}
Expand description
A Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system. For more information about agents, see the Agent guide.
§Activities
This type is used in activities, which are methods you may call on this type or where this type is involved in. The list links the activity name, along with information about where it is used (one of request and response).
- locations get agent projects (response)
- locations set agent projects (request|response)
- get agent projects (response)
- set agent projects (request|response)
Fields§
§api_version: Option<String>
Optional. 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.
avatar_uri: Option<String>
Optional. The URI of the agent’s avatar. Avatars are used throughout the Dialogflow console and in the self-hosted Web Demo integration.
classification_threshold: Option<f32>
Optional. 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.
default_language_code: Option<String>
Required. The default language of the agent as a language tag. See Language Support for a list of the currently supported language codes. This field cannot be set by the Update
method.
description: Option<String>
Optional. The description of this agent. The maximum length is 500 characters. If exceeded, the request is rejected.
display_name: Option<String>
Required. The name of this agent.
enable_logging: Option<bool>
Optional. Determines whether this agent should log conversation queries.
match_mode: Option<String>
Optional. Determines how intents are detected from user queries.
parent: Option<String>
Required. The project of this agent. Format: projects/
.
supported_language_codes: Option<Vec<String>>
Optional. The list of all languages supported by this agent (except for the default_language_code
).
tier: Option<String>
Optional. The agent tier. If not specified, TIER_STANDARD is assumed.
time_zone: Option<String>
Required. The time zone of this agent from the time zone database, e.g., America/New_York, Europe/Paris.
Trait Implementations§
source§impl Clone for GoogleCloudDialogflowV2Agent
impl Clone for GoogleCloudDialogflowV2Agent
source§fn clone(&self) -> GoogleCloudDialogflowV2Agent
fn clone(&self) -> GoogleCloudDialogflowV2Agent
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
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