# The algo records whose force is observability_traceability

This index as JSON: https://banes-lab.com/json/api/facets/algo/force/observability-traceability

## Entries

- [Non-Destructive Domain Investigation](https://banes-lab.com/records/algo/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/algo/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/algo/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.
- [<Architecture Anti-Pattern>](https://banes-lab.com/records/algo/architecture-anti-pattern.md): <Local shortcut> → <Missing control> → <Repeated usage> → <Implicit dependency> → <Boundary/contract erosion> → <Systemic fragility> → <Expensive remediation>
- [Violation Detection](https://banes-lab.com/records/algo/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/algo/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/algo/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.
- [Causality and Ordering](https://banes-lab.com/records/algo/causality-and-ordering.md): Model distributed events as a dependency graph, attach causation metadata, validate happens-before relationships, and use sequence numbers, Lamport clocks, or vector clocks when physical timestamps are insufficient.
- [Extension Point](https://banes-lab.com/records/algo/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/algo/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/algo/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.
- [Model Lifecycle Governance](https://banes-lab.com/records/algo/ai-model-governance.md): Register models and datasets, version prompts and artifacts, evaluate behavior against benchmarks, validate safety constraints, trace inference inputs, and monitor drift after deployment.
- [Universal Architectural Concern Template](https://banes-lab.com/records/algo/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.
- [Dynamic Extension Architecture](https://banes-lab.com/records/algo/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.
- [<Automation Concern>](https://banes-lab.com/records/algo/automation-concern.md): <Detect static coordination point> → <Classify intentional vs problematic> → <Measure scale pressure> → <Verify convention strength> → <Design dynamic contract> → <Preserve fallback> → <Validate performance and architecture> → <Capture knowledge>
- [Structured Observability Context](https://banes-lab.com/records/algo/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/algo/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/algo/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/algo/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/algo/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.
- [Plan Phase Verification](https://banes-lab.com/records/algo/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/algo/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/algo/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/algo/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.