feat(AGI-REG-RESILIENT-WP-038) v1.0.0 — Regulator-Resilient Enterprise AGI/ASI Governance Architecture for Fortune 500 / Global 2000 / G-SIFIs (2026-2030)#74
Merged
Conversation
…e AGI/ASI Governance Architecture for Fortune 500 / Global 2000 / G-SIFIs (2026-2030)
Master blueprint and roadmap for regulator-grade, ISO/IEC 42001-aligned AI
governance and supervisory-resilience architecture for Fortune 500 / Global
2000 / G-SIFI institutions, covering 2026-2030.
Deliverables (rag-agentic-dashboard/):
- data/agi-regulator-resilient.json (70 KB)
• 14 modules, 43 sections, 9 schemas, 12 code examples, 6 case studies, 89 API routes
- gen-agi-regulator-resilient.py (idempotent JSON generator)
- gen-agi-regulator-resilient-html.py (HTML dashboard renderer)
- public/agi-regulator-resilient.html (84 KB interactive SPA dashboard)
- server.js — 89 /api/agi-regulator-resilient/* endpoints
Modules (M1-M14):
M1 Board Oversight & Executive Accountability (CAIO/CRO/CISO, RACI, committees)
M2 Regulatory Alignment Matrix (EU AI Act 2026 Arts 53/55, Basel III/IV,
ISO/IEC 42001, NIST AI RMF + AI 600-1, OECD AI Principles, FCRA, ECOA,
SR 11-7) with CI/CD telemetry & capital-overlay responsiveness
M3 Three Lines of Defense + SEV-0 -> SEV-3 incident severity & runbooks
M4 Frontier-Model Safety Tiers (T0-T5), containment, forbidden-capability
list, voluntary disclosure regimes
M5 Regulator-Resilient KPIs (false-negative detection rate, cross-jurisdictional
drift reconciliation, interpretability coverage ratio, capital-overlay
responsiveness) with cadence & catalogue lookup
M6 Regulator Query Simulation Pack & supervisory interrogation scripts
M7 Black-Swan supervisory scenarios & response playbooks
M8 AGI Governance Maturity Model (tiers + rubric)
M9 React Governance Command Center (agent registry, incident tracking,
isolation actions, real-time risk scores, KPI Gauge, Deterministic Audit
Replay, multi-decision comparative replay, population-scale replay heatmap,
Predictive Governance Dashboard)
M10 Codex Auto-Updater flow with supervisory narrative & principles
M11 Interactive Board Briefing wireframes + supervisory session playbook + tone
M12 Supervisory API Reference Blueprint & Trust Contract (lifecycle)
M13 Supervisory Trust Dashboard + Joint Supervisory Operating Protocol (JSOP),
metrics, views, joint-exam workflow
M14 Supervisory Codex Charter — rituals (sealing, renewal, continuity,
inscription, resonance archives), multi-modal integrity, self-verifying
cultural persistence
Schemas (9), code examples (12), case studies (6).
Validation:
- node -c server.js: SYNTAX OK
- PM2 rag-dash: online
- 79/79 endpoint paths return HTTP 200
- 10/10 negative lookups return HTTP 404 (proper not-found handling)
- public/agi-regulator-resilient.html: HTTP 200, 86,671 bytes
- /api/agi-regulator-resilient/summary returns docRef AGI-REG-RESILIENT-WP-038,
version 1.0.0, horizon 2026-2030
Standards alignment: EU AI Act 2026 (Arts 5, 9, 10, 13-15, 53, 55, 73);
ISO/IEC 42001:2023, 23894, 5338, 27001, 27701; NIST AI RMF 1.0 + GenAI Profile
(AI 600-1); OECD AI Principles; GDPR/UK-GDPR; Basel III/IV; SR 11-7 / OCC 2011-12;
FCRA, ECOA, FCA Consumer Duty; SOC 2 Type II / FedRAMP; OWASP LLM Top 10;
MITRE ATLAS; SLSA L3, Sigstore/Cosign/in-toto.
|
Review changes with Changed Files
|
|
The files' contents are under analysis for test generation. |
|
The latest updates on your projects. Learn more about Vercel for GitHub.
|
|
You have reached your Codex usage limits for code reviews. You can see your limits in the Codex usage dashboard. |
![sourcery-ai[bot]](https://avatars.githubusercontent.com/in/48477?s=60&v=4){kind=small}
There was a problem hiding this comment.
Sorry @OneFineStarstuff, your pull request is larger than the review limit of 150000 diff characters
|
Review these changes at https://app.gitnotebooks.com/OneFineStarstuff/OneFineStarstuff.github.io/pull/74 |
|
View changes in DiffLens |
![gstraccini[bot]](https://avatars.githubusercontent.com/in/480132?s=60&v=4){kind=small}
Contributor
📝 WalkthroughWalkthroughAdds two large governance blueprints (AGI Regulator Resilient and Institutional AGI Master) as JSON data, Python generators and HTML renderers for each, a new static HTML page for AGI Regulator Resilient, formatting fixes for an existing GSIFI blueprint, and many new Express API endpoints that expose both blueprints and their modules/schemas/code-examples/case-studies. ChangesAGI Regulator Resilient (WP-038)
Institutional AGI Master (WP-039)
Formatting / Minor Fixes
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Possibly related PRs
Suggested labels
Suggested reviewers
Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
Warning There were issues while running some tools. Please review the errors and either fix the tool's configuration or disable the tool if it's a critical failure. 🔧 ast-grep (0.42.1)rag-agentic-dashboard/server.jsTip 💬 Introducing Slack Agent: The best way for teams to turn conversations into code.Slack Agent is built on CodeRabbit's deep understanding of your code, so your team can collaborate across the entire SDLC without losing context.
Built for teams:
One agent for your entire SDLC. Right inside Slack. Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Review rate limit: 0/1 reviews remaining, refill in 60 minutes.Comment |
Contributor
PR Code Suggestions ✨No code suggestions found for PR. |
for more information, see https://pre-commit.ci
|
View changes in DiffLens |
|
View changes in DiffLens |
Not up to standards ⛔🔴 Issues
|
| Category | Results |
|---|---|
| Compatibility | 4 medium |
| UnusedCode | 1 minor |
| Documentation | 10 minor |
| ErrorProne | 5 medium 5 high |
| CodeStyle | 53 minor |
| Complexity | 3 minor 8 critical 10 medium |
| Performance | 1 medium |
🟢 Metrics 142 complexity · 21 duplication
Metric Results Complexity 142 Duplication 21
NEW Get contextual insights on your PRs based on Codacy's metrics, along with PR and Jira context, without leaving GitHub. Enable AI reviewer
TIP This summary will be updated as you push new changes.
❌ Deploy Preview for onefinestarstuff failed.
|
Micro-Learning Topic: Cross-site scripting (Detected by phrase)Matched on "Xss"Cross-site scripting vulnerabilities occur when unescaped input is rendered into a page displayed to the user. When HTML or script is included in the input, it will be processed by a user's browser as HTML or script and can alter the appearance of the page or execute malicious scripts in their user context. Try a challenge in Secure Code WarriorHelpful references
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
Contributor
There was a problem hiding this comment.
Actionable comments posted: 3
🧹 Nitpick comments (3)
rag-agentic-dashboard/server.js (2)
21978-22224: 🏗️ Heavy liftConsider registering this API surface from a single manifest.
This block hand-wires the same contract that
rag-agentic-dashboard/gen-agi-regulator-resilient.py:1385-1410already describes. With this many endpoints, copy/paste routing makes generator/server drift much more likely over time. A small declarative route table plus registration loop would remove a lot of that risk and cut the maintenance burden for future module changes.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@rag-agentic-dashboard/server.js` around lines 21978 - 22224, The current file hand-defines many identical app.get routes (using AGIREG_MODULES, agiregSection and multiple app.get('/api/agi-regulator-resilient/...') calls), causing duplication and drift with the generator; replace the copy/paste handlers with a single declarative route manifest and a registration loop that iterates the manifest to call app.get — reuse AGIREG_MODULES and agiregSection to resolve module/section lookups and preserve existing semantics (including shortcut endpoints m1..m14, collection vs item endpoints that use :id, and 404 behavior); implement the manifest as an array of route descriptors (path, handler type like module/section/list/item, moduleKey, sectionId, collectionKey) and a registrar function that maps each descriptor to app.get and returns identical JSON/404 responses as the current functions.
22003-22025: ⚡ Quick winDerive
/summaryfrom the document instead of magic fallbacks.
supervisoryKpis,reactComponents,codexRituals, andapiPrefixare partially hard-coded here even though the JSON already carries that source data. If the generator changes, this endpoint can become the one place that reports stale inventory while the detail routes stay correct. Prefer readingAGIREG.apiEndpoints.prefixand computing counts from the current document shape.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@rag-agentic-dashboard/server.js` around lines 22003 - 22025, The summary endpoint currently uses hard-coded fallbacks; change app.get('/api/agi-regulator-resilient/summary') to read values directly from the AGIREG document (e.g., AGIREG.meta, AGIREG.deliverableInventory, AGIREG.apiEndpoints) instead of magic defaults: derive supervisoryKpis, reactComponents, codexRituals from AGIREG.deliverableInventory (or their explicit AGIREG fields if present), set apiPrefix from AGIREG.apiEndpoints.prefix, compute routes from (AGIREG.apiEndpoints || {}).routes.length, and similarly compute counts (schemas, codeExamples, caseStudies) from the current AGIREG shape so the summary always reflects the source document rather than hard-coded fallbacks.rag-agentic-dashboard/gen-agi-regulator-resilient-html.py (1)
205-224: ⚡ Quick winLook up stats sections by id, not array position.
These KPI cards assume
sections[0]/sections[1]never move. Ifrag-agentic-dashboard/gen-agi-regulator-resilient.pyinserts a new intro section ahead ofM5-S1,M7-S1,M9-S2, orM14-S2, the header counts will silently become wrong even though stable section ids already exist.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@rag-agentic-dashboard/gen-agi-regulator-resilient-html.py` around lines 205 - 224, The counts (n_kpis, n_swans, n_components, n_rituals) currently index into sections by fixed positions (e.g., .get("sections",[{}])[0]/[1]); change each to locate the correct section by its stable id (e.g., "M5-S1", "M7-S1", "M9-S2", "M14-S2") by scanning data["..."]["sections"] for section.get("id")==target_id and then take len(section.get("kpis"/"scenarios"/"components"/"rituals", [])); implement a small helper (e.g., find_section_by_id(sections, id)) and use it when computing n_kpis, n_swans, n_components, and n_rituals with safe fallbacks to [] if not found.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@rag-agentic-dashboard/gen-agi-regulator-resilient-html.py`:
- Around line 133-137: The TOC generation is truncating titles with [:48],
causing clipped labels; update the comprehension that builds toc_items (the
variable toc_items using esc and modules) to stop hard-cutting the title—keep
esc(m['id']) and esc(m['title'].split('—')[-1].strip()) intact (remove the [:48]
slice) so the full label is rendered and let CSS handle wrapping/ellipsis in the
nav.
In `@rag-agentic-dashboard/gen-agi-regulator-resilient.py`:
- Around line 117-130: The deliverableInventory.apiRoutes value is hardcoded to
96 and contradicts the actual list produced by api_endpoints(); update the code
so deliverableInventory is derived from the assembled data in main() (or from
the data/apiEndpoints object) instead of a literal: compute
deliverableInventory.apiRoutes = len(apiEndpoints.routes) (or the equivalent in
this file) after calling api_endpoints()/building data and ensure other counts
in deliverableInventory are similarly computed from data to keep them consistent
with the generated arrays.
In `@rag-agentic-dashboard/server.js`:
- Around line 21995-21997: The agiregSection helper currently returns an empty
object on misses which hides mapping errors; change agiregSection(modKey, sid)
to return null when no matching section is found (i.e., when AGIREG[modKey] or
its sections don't contain a section with id matching sid) instead of {}; update
callers that expect an object (routes/endpoints that use agiregSection) to treat
a null return as a missing resource and respond with 404/appropriate error
rather than treating it as success.
---
Nitpick comments:
In `@rag-agentic-dashboard/gen-agi-regulator-resilient-html.py`:
- Around line 205-224: The counts (n_kpis, n_swans, n_components, n_rituals)
currently index into sections by fixed positions (e.g.,
.get("sections",[{}])[0]/[1]); change each to locate the correct section by its
stable id (e.g., "M5-S1", "M7-S1", "M9-S2", "M14-S2") by scanning
data["..."]["sections"] for section.get("id")==target_id and then take
len(section.get("kpis"/"scenarios"/"components"/"rituals", [])); implement a
small helper (e.g., find_section_by_id(sections, id)) and use it when computing
n_kpis, n_swans, n_components, and n_rituals with safe fallbacks to [] if not
found.
In `@rag-agentic-dashboard/server.js`:
- Around line 21978-22224: The current file hand-defines many identical app.get
routes (using AGIREG_MODULES, agiregSection and multiple
app.get('/api/agi-regulator-resilient/...') calls), causing duplication and
drift with the generator; replace the copy/paste handlers with a single
declarative route manifest and a registration loop that iterates the manifest to
call app.get — reuse AGIREG_MODULES and agiregSection to resolve module/section
lookups and preserve existing semantics (including shortcut endpoints m1..m14,
collection vs item endpoints that use :id, and 404 behavior); implement the
manifest as an array of route descriptors (path, handler type like
module/section/list/item, moduleKey, sectionId, collectionKey) and a registrar
function that maps each descriptor to app.get and returns identical JSON/404
responses as the current functions.
- Around line 22003-22025: The summary endpoint currently uses hard-coded
fallbacks; change app.get('/api/agi-regulator-resilient/summary') to read values
directly from the AGIREG document (e.g., AGIREG.meta,
AGIREG.deliverableInventory, AGIREG.apiEndpoints) instead of magic defaults:
derive supervisoryKpis, reactComponents, codexRituals from
AGIREG.deliverableInventory (or their explicit AGIREG fields if present), set
apiPrefix from AGIREG.apiEndpoints.prefix, compute routes from
(AGIREG.apiEndpoints || {}).routes.length, and similarly compute counts
(schemas, codeExamples, caseStudies) from the current AGIREG shape so the
summary always reflects the source document rather than hard-coded fallbacks.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: 37a1a310-7620-45bc-bf7c-f7fbf3e92098
📒 Files selected for processing (8)
rag-agentic-dashboard/data/agi-regulator-resilient.jsonrag-agentic-dashboard/data/gsifi-aims-blueprint.jsonrag-agentic-dashboard/gen-agi-regulator-resilient-html.pyrag-agentic-dashboard/gen-agi-regulator-resilient.pyrag-agentic-dashboard/gen-gsifi-aims-blueprint.pyrag-agentic-dashboard/public/agi-regulator-resilient.htmlrag-agentic-dashboard/public/gsifi-aims-blueprint.htmlrag-agentic-dashboard/server.js
…nterprise AI Governance Master Blueprint for Fortune 500 / Global 2000 / G-SIFIs (2026-2030) Synthesizes WP-035 (ENT-AGI-GOV-MASTER), WP-036 (WFAP-GEMINI-IMPL), WP-037 (GSIFI-AIMS-BLUEPRINT), and WP-038 (AGI-REG-RESILIENT) into a single regulator-ready, board-approvable institutional-grade master blueprint. Deliverables (rag-agentic-dashboard/): - data/inst-agi-master.json (~43 KB) • 14 modules, 53 sections, 10 schemas, 12 code examples, 6 case studies, 82 API routes - gen-inst-agi-master.py (idempotent JSON generator) - gen-inst-agi-master-html.py (HTML dashboard renderer) - public/inst-agi-master.html (~53 KB interactive SPA dashboard) - server.js — 82 /api/inst-agi-master/* endpoints (synthesis prefix) Modules (M1-M14): M1 Multilayered AI Governance Pillars & Operating Model (8 pillars, executives, 5 committees, RACI) M2 Multi-Jurisdiction Regulatory Alignment Matrix (18 regimes × 320 controls; capital overlay) M3 Enterprise AI Reference Architecture (8 planes; topology; tenancy; trust/compliance stack) M4 WorkflowAI Pro / GeminiService Enterprise Platform (recommendation, RAG, prompts, safety, security) M5 ISO/IEC 42001 AIMS for High-Risk Credit Underwriting (Sections 1-5, Annexes J1-J4, RSP v1.0-v2.6) M6 Sector-Specific Financial Services MRM (credit, trading, risk, fiduciary, T1/T2/T3 tiers) M7 Frontier AGI Safety, Containment & Cognitive Resonance (T0-T4 tiers, kill-switch, MVAIGS) M8 Global Legal & Compute Governance (ICGC, treaty, federation, autonomous supervisory) M9 Governance Command Center & Predictive Dashboards (9 components, Codex Auto-Updater, briefings) M10 Supervisory-Grade KPIs & Self-Verifying Governance (18 KPIs, TLA+/Lean, audit replay) M11 SEV-0..SEV-3 Incident Escalation & Adversarial Loop (severity matrix, 4 self-healing playbooks) M12 Regulator Query Simulation & Black-Swan Scenarios (RQ catalogue, scripts, BS-01..BS-07) M13 AGI Governance Maturity Model & Codex Charter (M0-M5, 240-cell rubric, sealing rituals) M14 2026-2030 Implementation Roadmap & Operating Model (P1-P5, 3LoD, top risks) Schemas (10): aiSystemInventoryEntry, decisionEnvelope, rspManifest, controlMapping, friaRecord, incidentRecord, supervisoryKpiSnapshot, trustContract, obligationSpec, codexInscription. Code Examples (12): OPA/Rego gate, Terraform WORM (10y Object Lock), Ed25519+Dilithium3 hybrid signer, fairness monitor (SH-01), federated regulator client (mTLS+SPIFFE), Prophet drift forecaster, TLA+ obligation, Lean FCRA §615, self-healing engine, FastAPI traceability, Merkle/Rekor anchor, React Command Center KPI gauge. Case Studies (6): EU G-SIB dual ISO 42001 + EU AI Act cert; US BHC federated SR 11-7 + EU AI Act; UK PRA SMF24 pipeline; joint ECB+Fed+PRA exam drill; production bias-drift auto-rollback (4-min MTTR); frontier T3 containment exercise (kill-switch 42s). Headline KPIs (18): time-to-regulator-approved deployment ≤14 days; RSP latency ≤30 min; decision-traceability ≥99.95%; control automation ≥95%; evidence automation ≥96%; RAG faithfulness ≥0.92; blocked-harm ≥99.5%; PII leakage ≤0.01%; fairness AIR ≥0.85; adverse-action SLA ≤24h; reg notification ≤24h (EU AI Act) / ≤72h (GDPR); MTTD ≤4 min; MTTR ≤60 min; kinetic kill-switch ≤60s; false-negative ≤0.5%; interpretability coverage ≥90%; ≥8 federated supervisors by 2030. Standards alignment: EU AI Act (Aug 2026 High-Risk + Aug 2025 GPAI; Arts 5,6,9,10,12-15,17, 26-27,49,53,55,72,73); NIST AI RMF 1.0 + AI 600-1; ISO/IEC 42001/23894/5338/27001/27701/27018; OECD AI Principles; GDPR; FCRA §604/§615; ECOA Reg B; FFIEC SR 11-7; Basel III/IV + BCBS 239; PRA SS1/23, SS2/21; FCA Consumer Duty PS22/9, SMCR; MAS FEAT; HKMA GenAI; OWASP LLM Top 10; MITRE ATLAS; SLSA L3 + Sigstore/Cosign + in-toto + Rekor; SOC 2 Type II + FedRAMP High. Validation: - node -c server.js: syntax OK - PM2 rag-dash online (PID 2021055) - HTTP 200 across all 14 module roots (M1-M14) - HTTP 200 across 25 sampled endpoints (root, meta, executive-summary, summary, modules, pillars/executives, regulatory/crosswalk, architecture/planes, workflowai/rag, aims/rsp-versions, credit/underwriting, frontier/tiers, global/federation, command-center/components, kpis/catalogue, incident/severity, queries/black-swan, maturity/tiers, roadmap/phases, schemas, code-examples, case-studies, etc.) - Lookup tests pass: summary docRef INST-AGI-MASTER-WP-039 v1.0.0 horizon 2026-2030; modules/M5 -> ISO/IEC 42001 AIMS; schemas/decisionEnvelope; kpis/KPI-15 -> kill-switch ≤60s; roadmap/phases/P3 -> Federate 2027 H2 - 2028; sections/M7-S4 -> Crisis Simulations; code-examples/CE-07 -> TLA+ obligation graph; case-studies/CS-04 -> Joint ECB+Fed+PRA drill - 7 negative-path 404 checks all return 404 correctly - HTML dashboard: HTTP 200, 54,234 bytes
|
View changes in DiffLens |
for more information, see https://pre-commit.ci
|
View changes in DiffLens |
1 similar comment
|
View changes in DiffLens |
Contributor
There was a problem hiding this comment.
Actionable comments posted: 4
🧹 Nitpick comments (1)
rag-agentic-dashboard/server.js (1)
22003-22025: ⚡ Quick winDerive the computed summaries from the loaded document instead of fallback constants.
These handlers currently report healthy-looking inventory counts even when the backing JSON is incomplete (
modulesis always14for AGIREG, and several fields fall back to fixed numbers in both summaries). For endpoints that clients will use as smoke checks, that hides generator regressions instead of exposing them.Suggested direction
- modules: Object.keys(AGIREG_MODULES).length, - tlosLayers: inv.tlosLayers || 3, - severityLevels: inv.severityLevels || 4, + modules: Object.values(AGIREG_MODULES).filter(Boolean).length, + tlosLayers: inv.tlosLayers ?? null, + severityLevels: inv.severityLevels ?? null,Apply the same pattern to the remaining inventory fields in both summary routes so the response reflects the loaded JSON rather than a baked-in default.
Also applies to: 22245-22263
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@rag-agentic-dashboard/server.js` around lines 22003 - 22025, The summary route handler for '/api/agi-regulator-resilient/summary' is using hardcoded fallback counts (e.g., modules constant via AGIREG_MODULES length and numeric fallbacks in inv.*) which masks missing data; update the handler to derive every inventory field from the loaded document (AGIREG and AGIREG.meta.deliverableInventory) instead of fixed defaults—use actual lengths/values from AGIREG.modules (or AGIREG_MODULES if that is the canonical loaded object), AGIREG.schemas, AGIREG.codeExamples, AGIREG.caseStudies, AGIREG.apiEndpoints.routes and other inv.* properties so that missing/partial JSON is reflected in the response, and apply the same changes to the other summary route that mirrors this logic.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@rag-agentic-dashboard/data/inst-agi-master.json`:
- Around line 57-67: The deliverableInventory values in the generated JSON are
hardcoded and stale; update the generator: modify gen-inst-agi-master.py's
meta() function to compute counts dynamically (e.g., count top-level section
objects to set deliverableInventory["sections"], length of apiEndpoints array to
set deliverableInventory["apiRoutes"], and recalc modules, schemas,
codeExamples, caseStudies, phases, kpis, controls from the actual data
structures) rather than using fixed numbers, then regenerate
inst-agi-master.json so the API endpoint (/api/inst-agi-master/meta) and the
dashboard reflect the correct counts (refer to the deliverableInventory key, the
meta() function, and the apiEndpoints array to locate and implement the change).
In `@rag-agentic-dashboard/gen-inst-agi-master-html.py`:
- Line 72: The code calls SRC.read_text() before json.loads and later writes the
generated page with OUT.write_text(page) without specifying encoding, which can
raise UnicodeEncodeError on non-UTF-8 systems; update the calls to use explicit
UTF-8: change SRC.read_text() to SRC.read_text(encoding="utf-8") where you load
JSON (the line with data = json.loads(...)) and change OUT.write_text(page) to
OUT.write_text(page, encoding="utf-8"); apply the same encoding fix to the other
occurrence referenced around the second location (the write_text call near line
279).
In `@rag-agentic-dashboard/gen-inst-agi-master.py`:
- Around line 79-83: The deliverableInventory counts are hardcoded and drift
from the assembled data; update the inventory inside build() after assembling
modules and routes by recomputing counts from the actual structures used by
main() and api_endpoints(): e.g., set deliverableInventory["sections"] = total
number of section objects across all modules, and
deliverableInventory["apiRoutes"] = length of api_endpoints() (or sum of base +
module shortcuts + sub-routes + parametric routes); similarly recompute any
other counts (schemas, codeExamples, caseStudies) from their respective
assembled lists before writing the metadata so /api/inst-agi-master/meta and the
dashboard reflect real values.
In `@rag-agentic-dashboard/server.js`:
- Around line 22237-22240: instagiSection currently soft-fails by returning {}
on missing mappings (like agiregSection) which masks missing resources; change
its behavior to mirror agiregSection (return null/undefined or throw when no
matching section in INSTAGI) and update the fixed /api/inst-agi-master/* route
handlers to call sendInstagiSection(...) instead of
res.json(instagiSection(...)) so sendInstagiSection can return the proper
404/error response when a section mapping is absent; locate instagiSection,
INSTAGI, the /api/inst-agi-master/* routes and sendInstagiSection to implement
these changes.
---
Nitpick comments:
In `@rag-agentic-dashboard/server.js`:
- Around line 22003-22025: The summary route handler for
'/api/agi-regulator-resilient/summary' is using hardcoded fallback counts (e.g.,
modules constant via AGIREG_MODULES length and numeric fallbacks in inv.*) which
masks missing data; update the handler to derive every inventory field from the
loaded document (AGIREG and AGIREG.meta.deliverableInventory) instead of fixed
defaults—use actual lengths/values from AGIREG.modules (or AGIREG_MODULES if
that is the canonical loaded object), AGIREG.schemas, AGIREG.codeExamples,
AGIREG.caseStudies, AGIREG.apiEndpoints.routes and other inv.* properties so
that missing/partial JSON is reflected in the response, and apply the same
changes to the other summary route that mirrors this logic.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: d7d578ae-ca4f-4c06-b393-7b71d48b0380
📒 Files selected for processing (5)
rag-agentic-dashboard/data/inst-agi-master.jsonrag-agentic-dashboard/gen-inst-agi-master-html.pyrag-agentic-dashboard/gen-inst-agi-master.pyrag-agentic-dashboard/public/inst-agi-master.htmlrag-agentic-dashboard/server.js
✅ Files skipped from review due to trivial changes (1)
- rag-agentic-dashboard/public/inst-agi-master.html
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
WP-038 — Regulator-Resilient Enterprise AGI/ASI Governance Architecture (2026-2030)
Master blueprint and roadmap for regulator-grade, ISO/IEC 42001-aligned AI governance and supervisory-resilience architecture for Fortune 500 / Global 2000 / G-SIFI institutions.
Deliverables (rag-agentic-dashboard/)
data/agi-regulator-resilient.json(70 KB) — 14 modules, 43 sections, 9 schemas, 12 code examples, 6 case studies, 89 API routesgen-agi-regulator-resilient.py— idempotent JSON generatorgen-agi-regulator-resilient-html.py— HTML dashboard rendererpublic/agi-regulator-resilient.html(84 KB) — interactive SPA dashboardserver.js— 89/api/agi-regulator-resilient/*endpointsModules (M1–M14)
Validation
node -c server.js: SYNTAX OKrag-dash: onlinepublic/agi-regulator-resilient.html: HTTP 200, 86,671 bytesGET /api/agi-regulator-resilient/summaryreturns docRefAGI-REG-RESILIENT-WP-038, version 1.0.0, horizon 2026-2030Standards Alignment
EU AI Act 2026 (Arts 5, 9, 10, 13-15, 53, 55, 73); ISO/IEC 42001:2023, 23894, 5338, 27001, 27701; NIST AI RMF 1.0 + GenAI Profile (AI 600-1); OECD AI Principles; GDPR/UK-GDPR; Basel III/IV; SR 11-7 / OCC 2011-12; FCRA, ECOA, FCA Consumer Duty; SOC 2 Type II / FedRAMP; OWASP LLM Top 10; MITRE ATLAS; SLSA L3, Sigstore/Cosign/in-toto.
Summary by CodeRabbit
New Features
Chores