Struct OptimizationRun 

pub struct OptimizationRun {

    pub iteration: u32,
    pub scores: Vec<f32>,
    pub validated_changes: u32,
    pub landed_changes: u32,
    pub accepted_changes: u32,
    pub notes: String,
    pub candidates: Vec<Candidate>,
    pub diff: Option<String>,
    pub policy_hash: Option<String>,
    pub dataset_version: Option<String>,
    pub dataset_hash: Option<String>,
    pub baseline_score: Option<f32>,
    pub patched_score: Option<f32>,
    pub score_delta: Option<f32>,
    pub git_sha_before: Option<String>,
    pub git_sha_after: Option<String>,
    pub diff_hash: Option<String>,
    pub working_tree_dirty_after: Option<bool>,
    pub scorer: Option<String>,
    pub validation_commands: Option<Vec<String>>,
    pub validation_command_records: Vec<ValidationCommandRecord>,
    pub final_validation_command_records: Vec<ValidationCommandRecord>,
    pub trace_diagnosis: Vec<TraceDiagnosis>,
    pub hook_decisions: Vec<HookDecision>,
    pub ledger: Option<ExperimentLedger>,
    pub holdout_score: Option<f32>,
    pub budget: Option<OptimizationBudget>,
    pub policy_path: Option<String>,
    pub model: Option<ModelProvenance>,
    pub rollback_succeeded: Option<bool>,
    pub rollback_error: Option<String>,
    pub candidate_timed_out: bool,
    pub audit_packet: Option<AuditPacket>,
}

Optimizer entrypoint and run records. These are unstable before 1.0. A single optimization experiment / iteration result.

Fields

iteration: u32

scores: Vec<f32>

validated_changes: u32

Number of changes that were fully validated in isolation

landed_changes: u32

Number of changes that were successfully landed on the real agent tree

accepted_changes: u32

Number of changes that were accepted (landed + final validation + net-positive)

notes: String

candidates: Vec<Candidate>

diff: Option<String>

Optional unified diff of the last accepted change

policy_hash: Option<String>

dataset_version: Option<String>

dataset_hash: Option<String>

baseline_score: Option<f32>

patched_score: Option<f32>

score_delta: Option<f32>

git_sha_before: Option<String>

git_sha_after: Option<String>

diff_hash: Option<String>

working_tree_dirty_after: Option<bool>

scorer: Option<String>

validation_commands: Option<Vec<String>>

validation_command_records: Vec<ValidationCommandRecord>

final_validation_command_records: Vec<ValidationCommandRecord>

trace_diagnosis: Vec<TraceDiagnosis>

hook_decisions: Vec<HookDecision>

ledger: Option<ExperimentLedger>

holdout_score: Option<f32>

budget: Option<OptimizationBudget>

policy_path: Option<String>

model: Option<ModelProvenance>

rollback_succeeded: Option<bool>

rollback_error: Option<String>

candidate_timed_out: bool

audit_packet: Option<AuditPacket>

Versioned machine-readable evidence packet for an accepted change.

Trait Implementations

impl Clone for OptimizationRun

fn clone(&self) -> OptimizationRun

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OptimizationRun

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for OptimizationRun

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for OptimizationRun

fn schema_name() -> String

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn is_referenceable() -> bool

Whether JSON Schemas generated for this type should be re-used where possible using the $ref keyword.

impl Serialize for OptimizationRun

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

where __S: Serializer,

Serialize this value into the given Serde serializer.