Struct LlmOptimization Contribution

Generated from cargo doc --no-deps -p nemo-relay -p nemo-relay-adaptive -p nemo-relay-pii-redaction -p nemo-relay-ffi -p nemo-relay-types -p nemo-relay-plugin -p nemo-relay-worker-proto -p nemo-relay-worker.

pub struct LlmOptimizationContribution {
    pub id: Option<Uuid>,
    pub sequence: Option<u64>,
    pub producer: String,
    pub kind: LlmOptimizationKind,
    pub applied: bool,
    pub model_transition: Option<LlmOptimizationModelTransition>,
    pub token_impact: Option<LlmOptimizationTokenImpact>,
    pub payload_schema: Option<DataSchema>,
    pub payload: Option<Json>,
    pub extra: BTreeMap<String, Json>,
}

One optimizer’s evidence for a change to an LLM call.

Fields

`id: Option<Uuid>`

Relay-assigned contribution identifier. Producer values are replaced on ingestion.

`sequence: Option<u64>`

Relay-assigned order within the LLM call. Producer values are replaced on ingestion.

`producer: String`

Stable producer or plugin identity.

`kind: LlmOptimizationKind`

Open optimization classification.

`applied: bool`

Whether the optimization affected the executed call.

`model_transition: Option<LlmOptimizationModelTransition>`

Optional shared model transition.

`token_impact: Option<LlmOptimizationTokenImpact>`

Optional shared token evidence.

`payload_schema: Option<DataSchema>`

Schema of payload; required whenever payload is present.

`payload: Option<Json>`

Opaque producer payload retained for audit and future consumers.

`extra: BTreeMap<String, Json>`

Unknown top-level fields from future producers.

Implementations

`impl LlmOptimizationContribution`

impl LlmOptimizationContribution

`new`

pub fn new(
    producer: impl Into<String>,
    kind: impl Into<LlmOptimizationKind>,
) -> Self

Construct an applied contribution with no model, token, or custom evidence.

`with_payload`

pub fn with_payload<T: LlmOptimizationPayload>(
    self,
    payload: &T,
) -> Result<Self, Error>

Attach a schema-tagged custom payload.

Trait Implementations

`impl Clone for LlmOptimizationContribution`

impl Clone for LlmOptimizationContribution

`clone`

fn clone(&self) -> LlmOptimizationContribution

`clone_from`

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

`impl Debug for LlmOptimizationContribution`

impl Debug for LlmOptimizationContribution

`fmt`

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

`impl<'de> Deserialize<'de> for LlmOptimizationContribution`

impl<'de> Deserialize<'de> for LlmOptimizationContribution

`deserialize`

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

`impl PartialEq for LlmOptimizationContribution`

impl PartialEq for LlmOptimizationContribution

`eq`

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

`ne`

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

`impl Serialize for LlmOptimizationContribution`

impl Serialize for LlmOptimizationContribution

`serialize`

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

`impl StructuralPartialEq for LlmOptimizationContribution`

impl StructuralPartialEq for LlmOptimizationContribution