Enum AdmissionStrategy 

#[non_exhaustive]
pub enum AdmissionStrategy {
    Heuristic,
    Rl,
}

Admission decision strategy.

Heuristic uses the existing multi-factor weighted score with an optional LLM call. Rl replaces the LLM-based future_utility factor with a trained logistic regression model.

Variants (Non-exhaustive)

Non-exhaustive enums could have additional variants added in future. Therefore, when matching against variants of non-exhaustive enums, an extra wildcard arm must be added to account for any future variants.

Heuristic

Current A-MAC behavior: weighted heuristics + optional LLM call. Default.

Rl

Learned model: logistic regression trained on recall feedback.

Not yet wired to a runtime scorer (#2416/#5543): no admission code path scores with a learned model today, so selecting this variant falls back to AdmissionStrategy::Heuristic scoring. src/bootstrap/mod.rs’s build_admission_control emits a tracing::warn! at startup when this variant is selected, so the fallback is operator-visible rather than silent.

The training write path this strategy would need — record_admission_training, save_rl_weights, load_rl_weights, and cleanup_old_training_data in zeph_memory::store::admission_training — has no production caller, so even once a scorer is wired, there is no training data to train it on yet. The rl_min_samples / rl_retrain_interval_secs fields and the admission_training_data / admission_rl_weights storage tables remain as scaffolding for that future work.

Trait Implementations

impl Clone for AdmissionStrategy

fn clone(&self) -> AdmissionStrategy

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AdmissionStrategy

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

Formats the value using the given formatter.

impl Default for AdmissionStrategy

fn default() -> AdmissionStrategy

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AdmissionStrategy

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Eq for AdmissionStrategy

impl PartialEq for AdmissionStrategy

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

Equality operator ==.

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

Inequality operator !=.

impl Serialize for AdmissionStrategy

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 AdmissionStrategy