Struct ClassifiersConfig 

pub struct ClassifiersConfig {
    pub enabled: bool,
    pub timeout_ms: u64,
    pub injection_model: String,
    pub injection_threshold: f32,
    pub injection_model_sha256: Option<String>,
    pub pii_enabled: bool,
    pub pii_model: String,
    pub pii_threshold: f32,
    pub pii_model_sha256: Option<String>,
}

Configuration for the ML-backed classifier subsystem.

Placed under [classifiers] in config.toml. All fields are optional with safe defaults so existing configs continue to work when this section is absent.

When enabled = false (the default), all classifier code is bypassed and the existing regex-based detection runs unchanged.

Fields

enabled: bool

Master switch. When false, classifiers are never loaded or invoked.

timeout_ms: u64

Per-inference timeout in milliseconds.

On timeout the call site falls back to regex. Separate from model download time.

injection_model: String

HuggingFace repo ID for the injection detection model.

injection_threshold: f32

Minimum classifier score to treat a result as an injection.

Range: (0.0, 1.0]. Conservative default of 0.8 minimises false positives.

injection_model_sha256: Option<String>

Optional SHA-256 hex digest of the injection model safetensors file.

When set, the file is verified before loading. Mismatch aborts startup with an error. Useful for security-sensitive deployments to detect corruption or tampering.

pii_enabled: bool

Enable PII detection via the NER model (pii_model).

When true, CandlePiiClassifier runs on user messages in addition to the regex-based PiiFilter. Both results are merged (union with deduplication).

pii_model: String

HuggingFace repo ID for the PII NER model.

pii_threshold: f32

Minimum per-token confidence to accept a PII label.

Tokens below this threshold are treated as O (no entity). Default 0.75 balances recall on rarer entity types (DRIVERLICENSE, PASSPORT, IBAN) with precision. Raise to 0.85 to prefer precision over recall.

pii_model_sha256: Option<String>

Optional SHA-256 hex digest of the PII model safetensors file.

Trait Implementations

impl Clone for ClassifiersConfig

fn clone(&self) -> ClassifiersConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClassifiersConfig

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

Formats the value using the given formatter.

impl Default for ClassifiersConfig

fn default() -> ClassifiersConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ClassifiersConfig

fn deserialize<__D>( __deserializer: __D, ) -> Result<ClassifiersConfig, <__D as Deserializer<'de>>::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ClassifiersConfig

fn eq(&self, other: &ClassifiersConfig) -> 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 ClassifiersConfig

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ClassifiersConfig