feat(SENTINEL-AI-V24-WP-034) v1.0.0 — Sentinel AI v2.4 Enterprise AGI/ASI Governance & Containment Review (2026-2030)#60
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…/ASI Governance & Containment Review (2026-2030)
Delivers a regulator-ready AGI/ASI governance and containment review for
Fortune 500 / Global 2000 / G-SIFI deployments, covering 14 modules across
governance, UI, containment proxy, IaC, MLSecOps CI/CD, SEV-0 IR, EU AI Act
Art. 53/55 compliance, mechanistic interpretability, telemetry, adversarial
testing, persistent incident DB, integrations, guard/vision workbench, and
kinetic/swarm layers.
Files (rag-agentic-dashboard/):
- data/sentinel-ai-v24.json (66 KB) — 14 modules, 5 schemas,
9 code examples, 5 case studies
- gen-sentinel-ai-v24.py — JSON generator
- gen-sentinel-ai-v24-html.py (11 KB) — HTML dashboard renderer
- public/sentinel-ai-v24.html (77 KB) — interactive dashboard
- server.js (+~140 lines) — registers ~50 new
/api/sentinel-ai-v24/* endpoints
Modules (M1-M14):
M1 Enterprise AGI/ASI Governance Architecture (Board, CAIO, CRO, CISO)
M2 React AGI Governance Hub — Dashboard UI (useState/useEffect)
M3 Flask Enterprise AGI Containment Proxy (zero-trust, constitutional
checks, hardware tripwire, PII redaction, telemetry)
M4 Terraform AWS Governance-as-Code (Nitro Enclaves, S3 WORM Object
Lock, zero-trust IAM, misconfig detection)
M5 MLSecOps CI/CD Pipeline (GitHub Actions, jailbreak / alignment /
mech-interp audits, cryptographic attestation signing)
M6 SEV-0 Incident Response & AGI Risk Management (ISO/IEC 42001,
SR 11-7 aligned)
M7 AGI-TRADER-PROD-01 EU AI Act Art. 53/55 compliance & FRIA
M8 Mechanistic Interpretability — latent circuit scanning,
cosine-similarity tripwires, PyTorch scanner
M9 Zero-Trust Telemetry — Kafka, S3 WORM, PQC ledger,
daily Merkle-tree integrity audit (7-yr retention)
M10 Adversarial Testing — mock AGI, Real LLM Gateway, ops Makefile,
jailbreak / systemic-risk / privacy / containment-escape suite
M11 Persistent Incident DB (SQLAlchemy), FastAPI backend, Dockerfile
M12 Integrations — SOC webhook, Splunk SIEM HEC, Datadog, Jira, K8s
M13 Semantic Alignment Judge guard model, Vision Filter, Adversary
Workbench, governance sandbox (docker-compose)
M14 Kinetic Layer — swarm topology monitor, kinetic override, rack
state, interrogation terminal, AWS provisioning
Standards alignment: EU AI Act 2026 (Art. 53/55, FRIA), NIST AI RMF /
600-1, ISO/IEC 42001, ISO/IEC 27001, SR 11-7, Basel III/IV, FCRA, ECOA,
GDPR, OECD AI principles, MITRE ATLAS, OWASP LLM Top 10.
Validation: node -c server.js passes; pm2 restart clean; all 14 module
roots return HTTP 200 (M1..M14 + topical aliases governance, react-hub,
containment-proxy, terraform-aws, mlsecops-ci, sev0, agi-trader,
interpretability, telemetry, adversarial-testing, persistent-db,
integrations, guard-vision, kinetic-swarm); 5 schemas / 9 code examples /
5 case studies resolve; 404 handling verified for bogus module/schema;
HTML dashboard /sentinel-ai-v24.html returns HTTP 200.
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Review these changes at https://app.gitnotebooks.com/OneFineStarstuff/OneFineStarstuff.github.io/pull/60 |
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Sorry @OneFineStarstuff, your pull request is larger than the review limit of 150000 diff characters
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📝 WalkthroughWalkthroughAdds a new Sentinel AI v2.4 governance corpus: a single-file JSON artifact with 14 modules and schemas, two Python generators (JSON and HTML), a public HTML page, and new Express API endpoints under Changes
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Possibly related PRs
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🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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| Category | Results |
|---|---|
| Compatibility | 2 medium |
| BestPractice | 30 minor |
| Documentation | 8 minor |
| CodeStyle | 58 minor |
| Complexity | 1 critical 1 medium |
🟢 Metrics 48 complexity · 2 duplication
Metric Results Complexity 48 Duplication 2
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| for s in m.get("sections", []) or []: | ||
| sid = s.get("id", "") | ||
| if sid: | ||
| api_routes.append(f"/{mid.lower()}/{sid.lower()}") |
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The HTML generator appends /{module}/{section} entries (for example /api/sentinel-ai-v24/m1/m1-s1) to the published API list, but server.js only exposes module roots (/m1…/m14) and cross-module section lookup via /sections/:id; there are no matching /m*/m*-s* handlers. This causes consumers who rely on the dashboard’s endpoint list to hit 404s for dozens of advertised routes, so the generated list should either use the real sections/:id pattern or add corresponding handlers.
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Actionable comments posted: 2
🧹 Nitpick comments (4)
rag-agentic-dashboard/server.js (2)
21184-21213: Shortcut/alias endpoints silently return{}on missing modules — inconsistent with/modules/:id.
/modules/:id(lines 21177–21181) returns 404 when a module is absent, but everym1..m14shortcut and every topical alias falls back to|| {}. If a key is ever renamed or omitted fromsentinel-ai-v24.json, consumers (including the dashboard) will receive an empty-but-200 response and have no signal that the data is missing — a real concern given this is a regulator-facing artifact. Prefer either delegating tosentinelModuleByMidor returning 404 explicitly.♻️ Proposed refactor (factory-style, applies to both shortcuts and aliases)
-app.get('/api/sentinel-ai-v24/m1', (_, res) => res.json(SENTINEL.M1_governance || {})); -app.get('/api/sentinel-ai-v24/m2', (_, res) => res.json(SENTINEL.M2_reactHub || {})); -// ... -app.get('/api/sentinel-ai-v24/m14', (_, res) => res.json(SENTINEL.M14_kineticSwarm || {})); - -// Topical aliases (more discoverable for supervisors / auditors) -app.get('/api/sentinel-ai-v24/governance', (_, res) => res.json(SENTINEL.M1_governance || {})); -// ... -app.get('/api/sentinel-ai-v24/kinetic-swarm', (_, res) => res.json(SENTINEL.M14_kineticSwarm || {})); +const SENTINEL_ROUTE_MAP = [ + { paths: ['m1', 'governance'], key: 'M1_governance' }, + { paths: ['m2', 'react-hub'], key: 'M2_reactHub' }, + { paths: ['m3', 'containment-proxy'], key: 'M3_containmentProxy' }, + { paths: ['m4', 'terraform-aws'], key: 'M4_terraformAws' }, + { paths: ['m5', 'mlsecops-ci'], key: 'M5_mlsecopsCi' }, + { paths: ['m6', 'sev0'], key: 'M6_sev0' }, + { paths: ['m7', 'agi-trader'], key: 'M7_agiTraderArt53_55' }, + { paths: ['m8', 'interpretability'], key: 'M8_interpretability' }, + { paths: ['m9', 'telemetry'], key: 'M9_telemetry' }, + { paths: ['m10', 'adversarial-testing'], key: 'M10_adversarialTesting' }, + { paths: ['m11', 'persistent-db'], key: 'M11_persistentDb' }, + { paths: ['m12', 'integrations'], key: 'M12_integrations' }, + { paths: ['m13', 'guard-vision'], key: 'M13_guardVisionWorkbench' }, + { paths: ['m14', 'kinetic-swarm'], key: 'M14_kineticSwarm' }, +]; +for (const { paths, key } of SENTINEL_ROUTE_MAP) { + for (const p of paths) { + app.get(`/api/sentinel-ai-v24/${p}`, (_, res) => { + const m = SENTINEL[key]; + if (!m) return res.status(404).json({ error: 'module not found', key }); + res.json(m); + }); + } +}This also collapses 28 hand-maintained route declarations into one table, eliminating the risk of typo drift between shortcut and alias paths.
🤖 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 21184 - 21213, The shortcut routes (m1..m14) and topical alias endpoints currently return {} on missing keys, masking absent modules; change them to use the same behavior as /modules/:id by delegating to sentinelModuleByMid (or explicitly returning res.status(404).json({error: 'module not found'})) instead of using "|| {}". Locate the route handlers that call SENTINEL.M1_... through SENTINEL.M14_... and update each to call the existing sentinelModuleByMid helper (or the 404 response) so missing entries produce a 404; optionally replace the 28 duplicate app.get declarations with a small mapping table to generate routes programmatically to avoid drift between shortcuts and topical aliases.
21224-21236: Case-handling is inconsistent across resource lookups.Modules (line 21119) and case studies (line 21241) normalise the path param via
.toUpperCase(), but/schemas/:name(line 21225) and/code-examples/:name(line 21233) do an exact-case lookup. From an API-consumer perspective this is surprising —GET /modules/m1works butGET /code-examples/PythonExamplemay or may not, depending on the caller's casing. Either document the contract (case-sensitive vs. -insensitive per resource) or normalise consistently. Given schema/code-example keys are camelCase in the JSON, a case-insensitive match keyed byObject.keys(...).find(k => k.toLowerCase() === param.toLowerCase())would align UX with the other endpoints.🤖 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 21224 - 21236, The /api/sentinel-ai-v24/schemas/:name and /api/sentinel-ai-v24/code-examples/:name handlers perform exact-case lookups while other endpoints (e.g., /modules and case studies) normalize params with .toUpperCase(); change both handlers to perform a case-insensitive key match by searching Object.keys(SENTINEL.schemas || {}) and Object.keys(SENTINEL.codeExamples || {}) for a key where key.toLowerCase() === req.params.name.toLowerCase(), and then use the found key to retrieve the value (fall back to 404 if none found) so behaviour matches the other endpoints; update the variable names s and c accordingly (e.g., foundSchemaKey/foundExampleKey) and preserve response formatting (JSON for schemas, text/plain or JSON-stringify for code examples).rag-agentic-dashboard/gen-sentinel-ai-v24-html.py (1)
139-152: Optional: deriveendpointsPlannedinstead of hardcoding80.
meta.endpointsPlannedin the JSON is80, but this generator emitslen(api_routes)routes (13 fixed + 14 modules + 51 sections = 78 by current data). The footer print on Line 279 reports the real count, so the80ingen-sentinel-ai-v24.pyends up being slightly off. Consider computing it from the same derivation used here (or vice versa) to keep the badge truthful.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@rag-agentic-dashboard/gen-sentinel-ai-v24-html.py` around lines 139 - 152, The metadata field meta.endpointsPlanned is currently hardcoded to 80 but the generator builds api_routes dynamically; update the generator to compute endpointsPlanned from the same logic used to build api_routes (e.g., after constructing api_routes from modules/sections) and assign meta["endpointsPlanned"] = len(api_routes) (or equivalent) so the badge/report matches the actual derived routes; reference the api_routes construction loop and meta.endpointsPlanned assignment when making the change.rag-agentic-dashboard/gen-sentinel-ai-v24.py (1)
1343-1347: Wrap top-level execution inif __name__ == "__main__":.All file I/O and printing happens at module import time. If anything (tests, tooling, or another generator) ever imports this module, it will overwrite
data/sentinel-ai-v24.jsonas a side effect. The companiongen-sentinel-ai-v24-html.pyalready follows the proper pattern — mirror it here.♻️ Suggested refactor
-OUT.write_text(json.dumps(payload, indent=2, ensure_ascii=False), encoding="utf-8") -size_kb = OUT.stat().st_size // 1024 -print(f"Wrote {OUT} ({size_kb} KB)") -print(f"Modules: {len(modules)} | Schemas: {len(schemas)} | " - f"Code examples: {len(codeExamples)} | Case studies: {len(caseStudies)}") +def main() -> None: + OUT.parent.mkdir(parents=True, exist_ok=True) + OUT.write_text(json.dumps(payload, indent=2, ensure_ascii=False), encoding="utf-8") + size_kb = OUT.stat().st_size // 1024 + print(f"Wrote {OUT} ({size_kb} KB)") + print(f"Modules: {len(modules)} | Schemas: {len(schemas)} | " + f"Code examples: {len(codeExamples)} | Case studies: {len(caseStudies)}") + + +if __name__ == "__main__": + main()The
mkdiralso makes the script robust against a clean checkout whererag-agentic-dashboard/data/may not yet exist.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@rag-agentic-dashboard/gen-sentinel-ai-v24.py` around lines 1343 - 1347, Move the top-level file I/O and printing into a main guard: wrap the OUT.write_text(...), size_kb calculation and print statements (the lines using OUT, payload, modules, schemas, codeExamples, caseStudies) inside an if __name__ == "__main__": block and put that block into a main() function if desired; also ensure the target directory exists before writing (create the data directory with Path(...).mkdir(parents=True, exist_ok=True) where OUT is defined) so importing this module no longer performs side-effect writes or prints.
🤖 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-sentinel-ai-v24.py`:
- Around line 995-1004: Update the example envelope to match
schemas.telemetryEnvelope: include a request_id (generate or pass an existing
request_id variable), rename "cosine" to "alignment_cosine", and ensure a
signature field is present (either set to the signature returned/produced by
publish_signed or add a placeholder if publish_signed signs downstream—make the
relationship explicit in a comment). Adjust the envelope construction in the
block that creates envelope and the publish_signed call so the keys are
request_id, agent_id, ts, prompt_hash, response_hash, alignment_cosine,
redactions, and signature (populate signature appropriately or document that
publish_signed adds it).
In `@rag-agentic-dashboard/server.js`:
- Around line 21148-21162: The modules count in the /api/sentinel-ai-v24/summary
route is hardcoded to SENTINEL_MODULE_KEYS.length; change it to compute the
actual present module keys from the SENTINEL object (like how the /modules
handler filters with .filter(Boolean)). Locate the summary handler
(app.get('/api/sentinel-ai-v24/summary', ...)) and replace the modules value
with a dynamic count derived from SENTINEL (e.g., count the keys in
SENTINEL.modules or filter SENTINEL_MODULE_KEYS against SENTINEL to only include
truthy/present entries) so /summary and /modules remain consistent.
---
Nitpick comments:
In `@rag-agentic-dashboard/gen-sentinel-ai-v24-html.py`:
- Around line 139-152: The metadata field meta.endpointsPlanned is currently
hardcoded to 80 but the generator builds api_routes dynamically; update the
generator to compute endpointsPlanned from the same logic used to build
api_routes (e.g., after constructing api_routes from modules/sections) and
assign meta["endpointsPlanned"] = len(api_routes) (or equivalent) so the
badge/report matches the actual derived routes; reference the api_routes
construction loop and meta.endpointsPlanned assignment when making the change.
In `@rag-agentic-dashboard/gen-sentinel-ai-v24.py`:
- Around line 1343-1347: Move the top-level file I/O and printing into a main
guard: wrap the OUT.write_text(...), size_kb calculation and print statements
(the lines using OUT, payload, modules, schemas, codeExamples, caseStudies)
inside an if __name__ == "__main__": block and put that block into a main()
function if desired; also ensure the target directory exists before writing
(create the data directory with Path(...).mkdir(parents=True, exist_ok=True)
where OUT is defined) so importing this module no longer performs side-effect
writes or prints.
In `@rag-agentic-dashboard/server.js`:
- Around line 21184-21213: The shortcut routes (m1..m14) and topical alias
endpoints currently return {} on missing keys, masking absent modules; change
them to use the same behavior as /modules/:id by delegating to
sentinelModuleByMid (or explicitly returning res.status(404).json({error:
'module not found'})) instead of using "|| {}". Locate the route handlers that
call SENTINEL.M1_... through SENTINEL.M14_... and update each to call the
existing sentinelModuleByMid helper (or the 404 response) so missing entries
produce a 404; optionally replace the 28 duplicate app.get declarations with a
small mapping table to generate routes programmatically to avoid drift between
shortcuts and topical aliases.
- Around line 21224-21236: The /api/sentinel-ai-v24/schemas/:name and
/api/sentinel-ai-v24/code-examples/:name handlers perform exact-case lookups
while other endpoints (e.g., /modules and case studies) normalize params with
.toUpperCase(); change both handlers to perform a case-insensitive key match by
searching Object.keys(SENTINEL.schemas || {}) and
Object.keys(SENTINEL.codeExamples || {}) for a key where key.toLowerCase() ===
req.params.name.toLowerCase(), and then use the found key to retrieve the value
(fall back to 404 if none found) so behaviour matches the other endpoints;
update the variable names s and c accordingly (e.g.,
foundSchemaKey/foundExampleKey) and preserve response formatting (JSON for
schemas, text/plain or JSON-stringify for code examples).
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (5)
rag-agentic-dashboard/data/sentinel-ai-v24.jsonrag-agentic-dashboard/gen-sentinel-ai-v24-html.pyrag-agentic-dashboard/gen-sentinel-ai-v24.pyrag-agentic-dashboard/public/sentinel-ai-v24.htmlrag-agentic-dashboard/server.js
| envelope = { | ||
| "ts": time.time_ns(), | ||
| "agent_id": agent_id, | ||
| "prompt_hash": hashlib.sha3_256(safe.encode()).hexdigest(), | ||
| "response_hash": hashlib.sha3_256(response.encode()).hexdigest(), | ||
| "cosine": verdict["min_cosine"], | ||
| "redactions": redactions, | ||
| } | ||
| publish_signed("sentinel.telemetry", envelope) | ||
| return jsonify(response=response, telemetry=envelope) |
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flaskContainmentProxy example envelope does not satisfy schemas.telemetryEnvelope.
The schema you publish (lines 1230-1248) requires request_id, agent_id, ts, prompt_hash, response_hash, alignment_cosine, and signature, yet this canonical example uses "cosine" (not alignment_cosine) and omits both request_id and signature. Since the M3-S5 narrative explicitly lists those fields and downstream readers will copy this snippet, it's worth aligning the example with the schema (and either signing in-line or noting that signing happens in publish_signed).
♻️ Suggested edit
- envelope = {
- "ts": time.time_ns(),
- "agent_id": agent_id,
- "prompt_hash": hashlib.sha3_256(safe.encode()).hexdigest(),
- "response_hash": hashlib.sha3_256(response.encode()).hexdigest(),
- "cosine": verdict["min_cosine"],
- "redactions": redactions,
- }
- publish_signed("sentinel.telemetry", envelope)
+ envelope = {
+ "request_id": request.headers.get("X-Request-ID") or str(uuid.uuid4()),
+ "agent_id": agent_id,
+ "ts": time.time_ns(),
+ "prompt_hash": hashlib.sha3_256(safe.encode()).hexdigest(),
+ "response_hash": hashlib.sha3_256(response.encode()).hexdigest(),
+ "alignment_cosine": verdict["min_cosine"],
+ "redaction_count": redactions,
+ }
+ publish_signed("sentinel.telemetry", envelope) # attaches Ed25519+Dilithium5 signature🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-sentinel-ai-v24.py` around lines 995 - 1004, Update
the example envelope to match schemas.telemetryEnvelope: include a request_id
(generate or pass an existing request_id variable), rename "cosine" to
"alignment_cosine", and ensure a signature field is present (either set to the
signature returned/produced by publish_signed or add a placeholder if
publish_signed signs downstream—make the relationship explicit in a comment).
Adjust the envelope construction in the block that creates envelope and the
publish_signed call so the keys are request_id, agent_id, ts, prompt_hash,
response_hash, alignment_cosine, redactions, and signature (populate signature
appropriately or document that publish_signed adds it).
| app.get('/api/sentinel-ai-v24/summary', (_, res) => { | ||
| const meta = SENTINEL.meta || {}; | ||
| res.json({ | ||
| docRef: meta.docRef, | ||
| version: meta.version, | ||
| title: meta.title, | ||
| horizon: meta.horizon, | ||
| classification: meta.classification, | ||
| modules: SENTINEL_MODULE_KEYS.length, | ||
| schemas: Object.keys(SENTINEL.schemas || {}).length, | ||
| codeExamples: Object.keys(SENTINEL.codeExamples || {}).length, | ||
| caseStudies: (SENTINEL.caseStudies || []).length, | ||
| apiPrefix: '/api/sentinel-ai-v24', | ||
| }); | ||
| }); |
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summary.modules count is hardcoded — drifts from actual JSON contents.
modules: SENTINEL_MODULE_KEYS.length always reports 14 regardless of which keys are actually present in SENTINEL. The neighbouring /modules collection at lines 21165–21176 already filters with .filter(Boolean), so a partially populated JSON would make /summary and /modules disagree (and silently misrepresent a regulator-facing count). Compute it the same way.
🔧 Proposed fix
- modules: SENTINEL_MODULE_KEYS.length,
+ modules: SENTINEL_MODULE_KEYS.filter(k => SENTINEL[k]).length,📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| app.get('/api/sentinel-ai-v24/summary', (_, res) => { | |
| const meta = SENTINEL.meta || {}; | |
| res.json({ | |
| docRef: meta.docRef, | |
| version: meta.version, | |
| title: meta.title, | |
| horizon: meta.horizon, | |
| classification: meta.classification, | |
| modules: SENTINEL_MODULE_KEYS.length, | |
| schemas: Object.keys(SENTINEL.schemas || {}).length, | |
| codeExamples: Object.keys(SENTINEL.codeExamples || {}).length, | |
| caseStudies: (SENTINEL.caseStudies || []).length, | |
| apiPrefix: '/api/sentinel-ai-v24', | |
| }); | |
| }); | |
| app.get('/api/sentinel-ai-v24/summary', (_, res) => { | |
| const meta = SENTINEL.meta || {}; | |
| res.json({ | |
| docRef: meta.docRef, | |
| version: meta.version, | |
| title: meta.title, | |
| horizon: meta.horizon, | |
| classification: meta.classification, | |
| modules: SENTINEL_MODULE_KEYS.filter(k => SENTINEL[k]).length, | |
| schemas: Object.keys(SENTINEL.schemas || {}).length, | |
| codeExamples: Object.keys(SENTINEL.codeExamples || {}).length, | |
| caseStudies: (SENTINEL.caseStudies || []).length, | |
| apiPrefix: '/api/sentinel-ai-v24', | |
| }); | |
| }); |
🤖 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 21148 - 21162, The modules
count in the /api/sentinel-ai-v24/summary route is hardcoded to
SENTINEL_MODULE_KEYS.length; change it to compute the actual present module keys
from the SENTINEL object (like how the /modules handler filters with
.filter(Boolean)). Locate the summary handler
(app.get('/api/sentinel-ai-v24/summary', ...)) and replace the modules value
with a dynamic count derived from SENTINEL (e.g., count the keys in
SENTINEL.modules or filter SENTINEL_MODULE_KEYS against SENTINEL to only include
truthy/present entries) so /summary and /modules remain consistent.
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…badges, regulatory section - Tailored renderer for 14-module Sentinel AI v2.4 schema (M1-M14) - New hero with doc-ref, KPI strip (modules/sections/schemas/code/case-studies/endpoints) - Regulatory alignment section, badges for EU AI Act Art. 53/55, SR 11-7 Tier 1, ISO/IEC 42001 - Subject system + audience expansion in metadata module - Enriched TOC with shortened module titles - Generated public/sentinel-ai-v24.html: 77 KB, 14 modules, 51 sections, 5 schemas, 9 code examples, 5 case studies - Fully validated: all M1-M14 endpoints HTTP 200, HTML 200, 404 handling confirmed
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| # Case studies | ||
| cs_html = "" | ||
| for cs in data.get("caseStudies", []): | ||
| outcomes = cs.get("outcomes", {}) |
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The renderer looks for cs["outcomes"], but the generated dataset stores each case study narrative under outcome (singular) in data/sentinel-ai-v24.json; as a result, the published dashboard drops the actual outcome text and renders an empty outcomes block for every case study. This is a data-contract mismatch introduced in this change and makes the Case Studies section largely unusable.
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| "", "/meta", "/executive-summary", "/summary", "/modules", | ||
| "/modules/:id", "/sections/:id", "/schemas", "/schemas/:name", | ||
| "/code-examples", "/code-examples/:name", "/case-studies", | ||
| "/case-studies/:id", "/regulatory", "/subject-system", |
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This endpoint list includes /regulatory and /subject-system, but the new Sentinel routes registered in server.js only cover root/meta/summary/modules/sections/schemas/code-examples/case-studies and aliases; there are no handlers for these two paths. Publishing nonexistent routes in the dashboard causes consumers to hit predictable 404s when following the documented API catalog.
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Actionable comments posted: 2
🧹 Nitpick comments (1)
rag-agentic-dashboard/gen-sentinel-ai-v24-html.py (1)
37-108: Consider extracting shared rendering helpers across the sibling generators.Codeac flagged
esc,kv_table,render_value,render_section, andrender_moduleas near-duplicates ofrag-agentic-dashboard/gen-workflowai-pro-html.py. As moregen-*-html.pyartifacts land, a shared module (e.g.rag-agentic-dashboard/_html_render.py) would centralize the HTML escaping/table logic and CSS template, avoiding drift between dashboards. Deferrable — this PR is fine as-is.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@rag-agentic-dashboard/gen-sentinel-ai-v24-html.py` around lines 37 - 108, The rendering helpers esc, kv_table, render_value, render_section, and render_module are duplicated across generators; extract them into a single shared module (e.g. rag-agentic-dashboard/_html_render.py) and update this file to import and use those helpers instead of redefining them. Move the implementations of esc, kv_table, render_value, render_section and render_module (and any dependent CSS/template constants) into the new module, export the functions, then replace the local definitions here with from rag_agentic_dashboard._html_render import esc, kv_table, render_value, render_section, render_module and remove the duplicated code so both gen-sentinel-ai-v24-html.py and gen-workflowai-pro-html.py use the shared implementation.
🤖 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-sentinel-ai-v24-html.py`:
- Around line 366-368: Before calling OUT.write_text(page, ...), ensure the
target directory exists by creating OUT.parent if necessary: call
OUT.parent.mkdir(parents=True, exist_ok=True) just prior to writing so
OUT.write_text and OUT.stat() won't raise FileNotFoundError on a fresh checkout;
insert this one-line guard immediately before the existing OUT.write_text(page,
encoding="utf-8") call in the generator.
- Around line 118-121: The TOC generation code uses direct dict access
m['title'] which can KeyError if a module lacks a title; change the TOC
generation to use m.get('title', '') (same pattern as render_module) so missing
titles default to empty string, and ensure the slice and split operate on that
safe value in the expression that builds toc_items (look for toc_items, modules
and render_module in the diff to update).
---
Nitpick comments:
In `@rag-agentic-dashboard/gen-sentinel-ai-v24-html.py`:
- Around line 37-108: The rendering helpers esc, kv_table, render_value,
render_section, and render_module are duplicated across generators; extract them
into a single shared module (e.g. rag-agentic-dashboard/_html_render.py) and
update this file to import and use those helpers instead of redefining them.
Move the implementations of esc, kv_table, render_value, render_section and
render_module (and any dependent CSS/template constants) into the new module,
export the functions, then replace the local definitions here with from
rag_agentic_dashboard._html_render import esc, kv_table, render_value,
render_section, render_module and remove the duplicated code so both
gen-sentinel-ai-v24-html.py and gen-workflowai-pro-html.py use the shared
implementation.
🪄 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: cec01843-5989-4ae3-95ad-ba997c097019
📒 Files selected for processing (2)
rag-agentic-dashboard/gen-sentinel-ai-v24-html.pyrag-agentic-dashboard/public/sentinel-ai-v24.html
🚧 Files skipped from review as they are similar to previous changes (1)
- rag-agentic-dashboard/public/sentinel-ai-v24.html
| toc_items = "".join( | ||
| f"<li><a href='#{esc(m['id'])}'>{esc(m['id'])} · {esc(m['title'].split('—')[-1].strip()[:48])}</a></li>" | ||
| for m in modules | ||
| ) |
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Inconsistent dict access for title may KeyError.
m['title'] is accessed directly here while render_module uses mod.get('title', ''). If any module in MODULE_ORDER is present in the JSON but missing a title, TOC generation will crash before any output is rendered. Use .get for parity.
🛡️ Proposed fix
toc_items = "".join(
- f"<li><a href='#{esc(m['id'])}'>{esc(m['id'])} · {esc(m['title'].split('—')[-1].strip()[:48])}</a></li>"
+ f"<li><a href='#{esc(m.get('id',''))}'>{esc(m.get('id',''))} · {esc(m.get('title','').split('—')[-1].strip()[:48])}</a></li>"
for m in modules
)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| toc_items = "".join( | |
| f"<li><a href='#{esc(m['id'])}'>{esc(m['id'])} · {esc(m['title'].split('—')[-1].strip()[:48])}</a></li>" | |
| for m in modules | |
| ) | |
| toc_items = "".join( | |
| f"<li><a href='#{esc(m.get('id',''))}'>{esc(m.get('id',''))} · {esc(m.get('title','').split('—')[-1].strip()[:48])}</a></li>" | |
| for m in modules | |
| ) |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-sentinel-ai-v24-html.py` around lines 118 - 121,
The TOC generation code uses direct dict access m['title'] which can KeyError if
a module lacks a title; change the TOC generation to use m.get('title', '')
(same pattern as render_module) so missing titles default to empty string, and
ensure the slice and split operate on that safe value in the expression that
builds toc_items (look for toc_items, modules and render_module in the diff to
update).
| OUT.write_text(page, encoding="utf-8") | ||
| size_kb = OUT.stat().st_size // 1024 | ||
| print(f"Wrote {OUT} ({size_kb} KB)") |
There was a problem hiding this comment.
Ensure output directory exists before writing.
OUT.write_text(page, ...) will raise FileNotFoundError on a fresh checkout if rag-agentic-dashboard/public/ does not already exist. A one-line mkdir(parents=True, exist_ok=True) makes the generator self-bootstrapping and idempotent.
🛡️ Proposed fix
+ OUT.parent.mkdir(parents=True, exist_ok=True)
OUT.write_text(page, encoding="utf-8")
size_kb = OUT.stat().st_size // 1024📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| OUT.write_text(page, encoding="utf-8") | |
| size_kb = OUT.stat().st_size // 1024 | |
| print(f"Wrote {OUT} ({size_kb} KB)") | |
| OUT.parent.mkdir(parents=True, exist_ok=True) | |
| OUT.write_text(page, encoding="utf-8") | |
| size_kb = OUT.stat().st_size // 1024 | |
| print(f"Wrote {OUT} ({size_kb} KB)") |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-sentinel-ai-v24-html.py` around lines 366 - 368,
Before calling OUT.write_text(page, ...), ensure the target directory exists by
creating OUT.parent if necessary: call OUT.parent.mkdir(parents=True,
exist_ok=True) just prior to writing so OUT.write_text and OUT.stat() won't
raise FileNotFoundError on a fresh checkout; insert this one-line guard
immediately before the existing OUT.write_text(page, encoding="utf-8") call in
the generator.
3 participants
Summary
Delivers a regulator-ready AGI/ASI governance and containment review for Fortune 500 / Global 2000 / G-SIFI deployments, structured as 14 modules (M1-M14) covering governance roles, UI hub, containment proxy, IaC, MLSecOps CI/CD, SEV-0 IR, EU AI Act Art. 53/55 compliance, mechanistic interpretability, zero-trust telemetry, adversarial testing, persistent incident DB, integrations, guard/vision workbench, and kinetic/swarm layers.
Files added (
rag-agentic-dashboard/)data/sentinel-ai-v24.jsongen-sentinel-ai-v24.pygen-sentinel-ai-v24-html.pypublic/sentinel-ai-v24.htmlserver.js/api/sentinel-ai-v24/*endpointsModules (M1-M14)
/generate), ops Makefile, jailbreak / systemic-risk / privacy / containment-escape suiteStandards alignment
EU AI Act 2026 (Art. 53/55, FRIA) · NIST AI RMF 1.0 / 600-1 · ISO/IEC 42001:2023 · ISO/IEC 27001 · SR 11-7 · Basel III/IV · FCRA · ECOA · GDPR · OECD AI Principles · MITRE ATLAS · OWASP LLM Top 10.
Validation
node -c server.jspassespm2 restart rag-dashclean/api/sentinel-ai-v24/m1..m14+ topical aliases:governance,react-hub,containment-proxy,terraform-aws,mlsecops-ci,sev0,agi-trader,interpretability,telemetry,adversarial-testing,persistent-db,integrations,guard-vision,kinetic-swarm)/:idendpoints/sentinel-ai-v24.htmlreturns HTTP 200 (77 KB)Live preview
GET /api/sentinel-ai-v24/summarySummary by CodeRabbit
New Features
Documentation