Function adjust_runtime_policy 

pub fn adjust_runtime_policy(
    policy: &RuntimePolicy,
    memory: &ChallengeMemory,
    domain: &str,
    target_class: TargetClass,
) -> RuntimePolicy

Apply a bounded challenge-memory adjustment to an existing RuntimePolicy.

The adjustment is added to policy.risk_score and the result is re-clamped to [0.0, 1.0]. The adjustment itself is per-key clamped to ChallengeFeedbackPolicy::max_delta (default MAX_RISK_DELTA = 0.20) before being added, so a single entry can never shift the risk score by more than the documented ceiling.

Example

use stygian_charon::challenge_feedback::{
    adjust_runtime_policy, ChallengeMemory, ChallengeOutcome, MAX_RISK_DELTA,
};
use stygian_charon::types::{
    ExecutionMode, RuntimePolicy, SessionMode, TargetClass, TelemetryLevel,
};
use std::collections::BTreeMap;

let memory = ChallengeMemory::with_defaults();
memory.record("example.com", TargetClass::ContentSite, ChallengeOutcome::Captcha);

let base = RuntimePolicy {
    execution_mode: ExecutionMode::Http,
    session_mode: SessionMode::Stateless,
    telemetry_level: TelemetryLevel::Standard,
    rate_limit_rps: 3.0,
    max_retries: 2,
    backoff_base_ms: 250,
    enable_warmup: false,
    enforce_webrtc_proxy_only: false,
    sticky_session_ttl_secs: None,
    required_stygian_features: Vec::new(),
    config_hints: BTreeMap::new(),
    risk_score: 0.30,
};
let adjusted = adjust_runtime_policy(&base, &memory, "example.com", TargetClass::ContentSite);
assert!(adjusted.risk_score >= base.risk_score);
assert!(adjusted.risk_score <= base.risk_score + MAX_RISK_DELTA);