State model
A signed system manifest links code, prompt, model, knowledge, tools, permissions, policies, tests and owner. Any material dependency change creates a new release candidate.
High recall can coexist with stale, unauthorised or semantically misleading evidence that produces a fluent but unsafe answer.
The monitor evaluates retrieval by authority, applicability, freshness, citation entailment and route outcome, not relevance alone.
Organisations, systems and operating conditions are intentionally anonymised and recomposed. The design demonstrates engineering and banking-domain reasoning; it does not represent a named client estate, vendor product or measured production result.
Five operating planes separate interaction, identity, decision control, authoritative state and operating evidence.
Permitted workThe platform supplies reusable controls and contracts. Domain teams retain business logic, data purpose and outcome ownership.
Consistency ruleTie deployed code, prompt, model, data, permissions, policy and evidence to one release manifest and compatibility graph.
Hard boundaryThe model is not a system of record, identity provider, policy authority or proof that an external effect occurred.
Agents, prompts, tools, policies and models must be built, certified, operated, changed and retired as one reachable system.
Content failing provenance or entitlement checks cannot enter the model context, regardless of similarity score.
A deterministic outer workflow contains model-led work inside typed, observable calls. Dashed messages remain proposals until policy or a human grants authority.
A signed system manifest links code, prompt, model, knowledge, tools, permissions, policies, tests and owner. Any material dependency change creates a new release candidate.
Build and runtime boundaries use the same schemas. Registry metadata drives discovery, policy, telemetry attribution and deprecation.
The deployed artefact, registry entry and evidence pack share one immutable release identifier; partial promotion is not a valid state.
These roles are deliberately vendor-neutral. Each can be independently owned, versioned and replaced.
Accepts a typed evidence request and returns the minimum permitted facts with source, event time, observation time, validity and exclusions.
Appends request, versions, policy result, model proposal, approval, action receipt, readback, correction and custody events under one correlation key.
Serves owned, audience-qualified and effective-dated content; exposes supersession, withdrawal and dependency metadata.
Runs component, route, trajectory, failure, harm and outcome tests against the versioned system manifest.
Evaluates identity, purpose, capability, amount, risk tier and policy version; returns allow, deny, step-up or human-review with reasons.
Durable records carry provenance, authority, effect and custody without turning a transcript into an uncontrolled memory store.
Tie deployed code, prompt, model, data, permissions, policy and evidence to one release manifest and compatibility graph.
The selected design is not universally superior. It is the safer fit for this boundary and failure cost.
Prefetch stable, purpose-safe facts; acquire volatile facts on demand against a time-qualified snapshot.
Load a broad customer profile at session start.
Cost acceptedThe selected design adds source calls and latency, but reduces stale data, excess exposure and accidental reuse.
Use append-only events plus a rebuildable current-state projection.
Overwrite the case row with its latest status.
Cost acceptedReplay and storage are more complex, but point-in-time reconstruction and correction lineage remain possible.
Federate authoring while centralising lifecycle metadata, validation and serving rules.
Create one centrally authored knowledge corpus.
Cost acceptedFederation requires stronger contracts and owner discipline, but preserves domain accountability and release velocity.
Test prompts, models, tools, knowledge, policies, state transitions and human paths together.
Use a static answer-quality benchmark as the release gate.
Cost acceptedSystem evaluation takes longer and needs synthetic environments, but detects authority and recovery failures that answer scoring misses.
Compile stable decision logic and retain retrieval for explanation and residual ambiguity.
Ask a model to interpret the source document for every request.
Cost acceptedRule compilation needs controlled change, but creates repeatable decisions, regression tests and clear exceptions.
Retries are bounded by knowledge of business effect; unknown outcome remains visible, owned and independently reconciled.
Actual thresholds belong to accountable service owners. The design exposes the equations and observables that those owners must baseline.
gate_runtime = test_cases x routes x dependency_versionsrelease_capacity = available_environments / average_gate_durationoperating_cost = model + tools + platform + human_review + incidentsEnforce purpose, tenant and workload identity at every hop; telemetry stores metadata rather than unrestricted prompts or payloads.
A design is production-ready only when teams can prove what happened, recover it and change it safely.
reachable-authority analysis
cross-version compatibility
failure and rollback rehearsal
cost, latency and trace attribution
Query set, candidate corpus, filter decisions, ranking trace, entailment checks, answer outcome and drift alert.
Knowledge and model owners set thresholds, investigate drift and approve corpus changes.
Automate evidence collection before automating approval. Expand self-service only when the paved route proves safer and faster than bespoke delivery.
Platform, domain product, data, security, model-risk and service owners share certification decisions.