Struct google_api_proto::google::cloud::dialogflow::v2::Agent

pub struct Agent {
    pub parent: String,
    pub display_name: String,
    pub default_language_code: String,
    pub supported_language_codes: Vec<String>,
    pub time_zone: String,
    pub description: String,
    pub avatar_uri: String,
    pub enable_logging: bool,
    pub match_mode: i32,
    pub classification_threshold: f32,
    pub api_version: i32,
    pub tier: i32,
}

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.

Fields

parent: String

Required. The project of this agent. Format: projects/<Project ID>.

display_name: String

Required. The name of this agent.

default_language_code: 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.

supported_language_codes: Vec<String>

Optional. The list of all languages supported by this agent (except for the default_language_code).

time_zone: String

Required. The time zone of this agent from the time zone database, e.g., America/New_York, Europe/Paris.

description: String

Optional. The description of this agent. The maximum length is 500 characters. If exceeded, the request is rejected.

avatar_uri: String

Optional. The URI of the agent’s avatar. Avatars are used throughout the Dialogflow console and in the self-hosted Web Demo integration.

enable_logging: bool

Optional. Determines whether this agent should log conversation queries.

match_mode: i32

👎Deprecated

Optional. Determines how intents are detected from user queries.

classification_threshold: 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.

api_version: i32

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.

tier: i32

Optional. The agent tier. If not specified, TIER_STANDARD is assumed.

Implementations

impl Agent

pub fn match_mode(&self) -> MatchMode

Returns the enum value of match_mode, or the default if the field is set to an invalid enum value.

pub fn set_match_mode(&mut self, value: MatchMode)

Sets match_mode to the provided enum value.

pub fn api_version(&self) -> ApiVersion

Returns the enum value of api_version, or the default if the field is set to an invalid enum value.

pub fn set_api_version(&mut self, value: ApiVersion)

Sets api_version to the provided enum value.

pub fn tier(&self) -> Tier

Returns the enum value of tier, or the default if the field is set to an invalid enum value.

pub fn set_tier(&mut self, value: Tier)

Sets tier to the provided enum value.

Trait Implementations

impl Clone for Agent

fn clone(&self) -> Agent

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Agent

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Agent

fn default() -> Self

Returns the “default value” for a type.

impl Message for Agent

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for Agent

fn eq(&self, other: &Agent) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Agent