# Algorithm contracts whose force is observability_traceability > 26 records This index as JSON: https://banes-lab.com/json/api/facets/algorithms/force/observability-traceability ## Entries - [Non-Destructive Domain Investigation](https://banes-lab.com/records/algorithms/non-destructive-domain-investigation.md): Prepare static investigation, optionally prepare safe executable analysis, prohibit source mutation, execute or emulate analysis, and merge observable outputs into domain intelligence. - [Evidence Grounding Validation](https://banes-lab.com/records/algorithms/evidence-grounding-validation.md): Search generated output for unsupported claims and evidence references, compare generated claims against the knowledge base, calculate grounding score, and reject artifacts below threshold. - [Workflow Coordination Sequence](https://banes-lab.com/records/algorithms/workflow-coordination-sequence.md): Pre-create documents, execute parallel batches where eligible, execute sequential agents one at a time, update checkpoints, validate single source of truth, and mark workflow completion. - [](https://banes-lab.com/records/algorithms/architecture-anti-pattern.md): → → → → → → - [Extension Point](https://banes-lab.com/records/algorithms/extension-point.md): Define stable extension contracts, register implementations through IoC or plugin registries, isolate plugin failures, and expose deterministic loading order. - [Recovery Deployment](https://banes-lab.com/records/algorithms/recovery-deployment.md): Continuously health-check services, isolate failed instances, fail over to redundancy, roll back unsafe releases, and use canary or blue-green deployment for controlled exposure. - [Observability Trace](https://banes-lab.com/records/algorithms/observability-trace.md): Attach correlation and causation identifiers to every operation, emit structured logs, metrics, traces, and audit records, then connect them into an explainable execution graph. - [Causality Ordering](https://banes-lab.com/records/algorithms/causality-ordering.md): Model events as a dependency graph, assign causal metadata, preserve happens-before relationships with sequence numbers, Lamport clocks or vector clocks where physical timestamps are insufficient, and reject or compensate for invalid ordering. - [Universal Architectural Concern Template](https://banes-lab.com/records/algorithms/universal-architectural-concern-template.md): For any architectural concern, define its intent, boundary, contract, invariants, allowed variation, forbidden leakage, validation strategy, observability model, and evolution policy. - [Violation Detection](https://banes-lab.com/records/algorithms/violation-detection.md): For each concept applicable to the current scope, execute its detected_by signals against the implementation, map observations to violated_by patterns, and produce evidence-backed violation records. - [Event and Messaging Consistency](https://banes-lab.com/records/algorithms/event-and-messaging-consistency.md): For asynchronous systems, validate event contracts, message schemas, idempotent consumers, outbox publication, correlation metadata, ordering guarantees, retry behavior, and dead-letter handling. - [Observability and Auditability](https://banes-lab.com/records/algorithms/observability-and-auditability.md): Attach correlation and causation identifiers, emit logs, metrics, traces, alerts, audit records, and runtime health signals, then reconstruct behavior as a causal execution graph. - [Model Lifecycle Governance](https://banes-lab.com/records/algorithms/model-lifecycle-governance.md): Register and version models, prompts, datasets, embeddings, retrieval sources and knowledge graphs, evaluate behavior against benchmarks, validate safety constraints, trace inference inputs through an inference contract, and monitor drift after deployment. - [Dynamic Extension Architecture](https://banes-lab.com/records/algorithms/dynamic-extension-architecture.md): Infer extension contracts, define discovery conventions, validate discovered implementations against the contract, preserve manual registration fallback, and report discovered, skipped, failed, and manual items. - [](https://banes-lab.com/records/algorithms/automation-concern.md): → → → → → → → - [Structured Observability Context](https://banes-lab.com/records/algorithms/structured-observability-context.md): Detect whether a task touches errors, contract or invariant violations, events, or resource lifecycle, and require the matching structured, machine-queryable observability context instead of a free-form message. - [Validation Suite Battery](https://banes-lab.com/records/algorithms/validation-suite-battery.md): Run the governance validation suites over the generated context, phases, tasks, and claims — state integrity, authority, principle activation, plan graph, tasks, ripple, semantic policy, evidence, and output serializability — and emit findings that each name what was examined and carry an owner stage. - [Checklist Output Rendering](https://banes-lab.com/records/algorithms/checklist-output-rendering.md): Emit the markdown checklist — governing context, principle disposition, phases in Z-topological order with loop class, severity, four-dimensional graph, and named ripple chains, hierarchically numbered tasks with evidence contracts, per-phase execution gates, appendices, and a final blocking execution gate — all left unchecked for future execution. - [Console Usage Remediation](https://banes-lab.com/records/algorithms/console-usage-remediation.md): Replace direct console calls with the approved logging abstraction, preserve severity and message context, and verify no direct console usage remains. - [Evidence-Gated Claim Verification](https://banes-lab.com/records/algorithms/evidence-gated-claim-verification.md): Extract claims, resolve each claim into observable evidence requirements, collect direct implementation evidence, classify each claim as verified, contradicted, or unverified, and report discrepancies. - [Convergence Walk](https://banes-lab.com/records/algorithms/convergence-walk.md): Take a venue from its opening to the archive in a fixed order, so the question of whether a decision is made and the question of whether it is built are answered by two surfaces. - [Plan Phase Verification](https://banes-lab.com/records/algorithms/plan-phase-verification.md): Before a composed plan reaches the developer, the engine loops it back through evidence, completeness, and adversarial-skepticism passes, reconciles the findings into the plan, and increments a loop-owned pass counter the model cannot forge; a render boundary blocks an unverified plan. - [Versioned Turn Provenance](https://banes-lab.com/records/algorithms/versioned-turn-provenance.md): Persist each accepted model turn as an append-only, mode-tagged, schema-versioned, causally ordered record with change-only provenance, so the turn history is a queryable, auditable log and a turn is never graded against a schema version its stored state never saw. - [Discovery Verification](https://banes-lab.com/records/algorithms/discovery-verification.md): For every shape-discovered surface touched by the reshape, compare the member set it collects against what it collected before, and issue the verdict from that comparison, so a collection that silently emptied is caught rather than read as a clean pass. - [Taxonomy Ledger](https://banes-lab.com/records/algorithms/taxonomy-ledger.md): Record the registry version, the conversion state of each container, and every admitted and refused word with its reasoning, so the taxonomy's history is durable evidence rather than a fact re-derived from the tree on each pass. - [Alignment Cadence](https://banes-lab.com/records/algorithms/alignment-cadence.md): Accept a conversion record only when the alignment entry it cites was written against the protocol's current revision and fewer than the declared span of records cite that entry, so the rules are re-read at a bounded cadence.