Module models 

Core data models and structures Core data models for AI decision tracking and observability

This module contains the fundamental data structures used throughout the Briefcase AI system:

• Input and Output for capturing AI function parameters and results
• DecisionSnapshot for recording complete AI decision context
• ModelParameters for tracking AI model configuration
• ExecutionContext for environmental reproducibility
• Snapshot for grouping related decisions

Example Usage

use briefcase_core::models::*;
use serde_json::json;

// Create input and output data
let input = Input::new("prompt", json!("What is AI?"), "string");
let output = Output::new("response", json!("AI is..."), "string")
    .with_confidence(0.92);

// Create a decision snapshot
let decision = DecisionSnapshot::new("gpt_query")
    .add_input(input)
    .add_output(output)
    .with_execution_time(234.5);

Structs

DecisionSnapshot

A single AI decision capture

ExecutionContext

Execution context for deterministic replay

Input

Input parameter to an AI decision point

ModelParameters

AI model parameters for reproducibility and tracking

Output

Output result from an AI decision point

Snapshot

Root snapshot containing multiple decisions (e.g., a session)

SnapshotMetadata

Metadata for a snapshot

Enums

SnapshotType