Struct Output 

pub struct Output {
    pub name: String,
    pub value: Value,
    pub data_type: String,
    pub confidence: Option<f64>,
    pub schema_version: String,
}

Output result from an AI decision point

Represents the result produced by an AI function or model. Outputs can include confidence scores and are captured with type information for analysis and replay.

Examples

use briefcase_core::models::Output;
use serde_json::json;

let output = Output::new("response", json!("Hello back!"), "string")
    .with_confidence(0.95);
assert_eq!(output.confidence, Some(0.95));

Fields

name: String

value: Value

data_type: String

confidence: Option<f64>

schema_version: String

Implementations

impl Output

pub fn new( name: impl Into<String>, value: Value, data_type: impl Into<String>, ) -> Self

pub fn with_confidence(self, confidence: f64) -> Self

Trait Implementations

impl Clone for Output

fn clone(&self) -> Output

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Output

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Output

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Output

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl Serialize for Output

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Output