Struct AIEnhancer 

pub struct AIEnhancer {
    pub endpoint: String,
    pub model: String,
    pub threshold: f64,
    pub batch_size: usize,
    pub timeout: u64,
}

Enhances ScannedModule metadata using a local SLM.

Configuration is read from environment variables or constructor parameters:

• APCORE_AI_ENABLED: Enable enhancement (default: false).
• APCORE_AI_ENDPOINT: OpenAI-compatible API URL.
• APCORE_AI_MODEL: Model name.
• APCORE_AI_THRESHOLD: Confidence threshold (0.0–1.0).
• APCORE_AI_BATCH_SIZE: Modules per API call.
• APCORE_AI_TIMEOUT: Timeout in seconds per API call.

Fields

endpoint: String

model: String

threshold: f64

batch_size: usize

timeout: u64

Implementations

impl AIEnhancer

pub fn new( endpoint: Option<String>, model: Option<String>, threshold: Option<f64>, batch_size: Option<usize>, timeout: Option<u64>, ) -> Result<Self, AIEnhancerError>

Create a new AIEnhancer with optional overrides.

Falls back to environment variables, then defaults.

pub fn is_enabled() -> bool

Check whether AI enhancement is enabled via environment.

Trait Implementations

impl Debug for AIEnhancer

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

Formats the value using the given formatter.

impl Enhancer for AIEnhancer

fn enhance(&self, modules: Vec<ScannedModule>) -> Vec<ScannedModule>

Enhance a list of ScannedModules by filling metadata gaps.