fault-tolerance-spans-inspection-through-self-correction
OUT derived (depth 7)
Fault tolerance covers the complete belief quality spectrum: passive inspection operations (review, staleness checking, list-negative classification) degrade gracefully with fail-safe defaults and never mutate state, AND active self-correction (contradiction resolution via backtracking, staleness detection via source hashing) continues operating without external LLM dependencies — the system maintains quality assurance autonomously even when LLMs, external files, or network resources are unavailable.
Summary
The system's quality assurance works reliably even when external services like LLMs or network resources go down. Read-only operations like reviewing or checking beliefs play it safe by defaulting to conservative answers, while core self-repair mechanisms like resolving contradictions and detecting stale data run entirely on local code with no outside dependencies.
Justifications
SL — Passive inspection fault tolerance and active self-correction LLM resilience together ensure the system has a degraded-but-functional quality mode under any external failure
Antecedents (all must be IN):
- all-belief-inspection-is-non-mutating-and-fault-tolerant — All belief inspection operations — quality review (read-only with fault-tolerant batch handling), staleness checking (conservative non-mutating CI gate), and negative classification (defensively bounded with graceful degradation) — are uniformly non-mutating and fault-tolerant, ensuring observation never perturbs the observed system.
- self-correction-is-resilient-to-llm-unavailability — The system's core self-correction mechanisms — contradiction resolution through dependency-directed backtracking and staleness detection through source hash comparison — require no external dependencies and execute on stdlib alone, while all LLM-facing operations apply consistent fail-soft error handling — LLM unavailability degrades knowledge expansion but never compromises correction integrity.
Dependents
These beliefs depend on this one:
- quality-lifecycle-is-fault-tolerant-and-resource-efficient — The complete LLM-driven quality lifecycle — creation via derive, classification via list-negative, review, and self-correction — is simultaneously resource-efficient (accurate budgets, linear allocation, minimal footprint) and fault-tolerant at every phase (graceful degradation on LLM failures, batch fault isolation, deterministic fallbacks).