feat(ENT-AGI-GOV-MASTER-WP-035) v1.0.0 — Enterprise AGI/ASI Governance Master Framework (2026-2030)#72
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…e Master Framework (2026-2030) Institutional-grade, regulator-ready master framework unifying enterprise AI, agentic-AI, AGI/ASI containment, and civilizational compute oversight for Fortune 500, Global 2000, and G-SIFIs. Deliverables (rag-agentic-dashboard/): - data/ent-agi-gov-master.json (61 KB) — 8 modules, 30 sections, 6 schemas, 10 code examples, 6 case studies, 56 planned API routes - gen-ent-agi-gov-master.py (61 KB) — idempotent JSON generator - gen-ent-agi-gov-master-html.py (15 KB) — HTML dashboard renderer - public/ent-agi-gov-master.html (68 KB) — interactive single-page dashboard - server.js — wires /api/ent-agi-gov-master/* endpoint family Eight modules (M1-M8): - M1 Multilayered AI Governance Pillars (G1-G7), 3LoD mapping, 10-category risk taxonomy R1-R10 - M2 Regulatory Alignment Matrix (16 axes): EU AI Act, NIST AI RMF 1.0, ISO/IEC 42001/23894/5338/27001/27701, OECD, GDPR, FCRA, ECOA, Basel III/IV, SR 11-7, PRA SS1/23, FCA Consumer Duty, MAS FEAT, HKMA HLP, EO 14110/OMB M-24-10, Council of Europe AI Convention, plus regulator engagement cadence - M3 Enterprise Reference Architectures (9): Sentinel v2.4, WorkflowAI Pro, EAIP, high-assurance RAG, governed agentic workflows, Kafka WORM cluster, Docker Swarm/K8s hardened runtime, Node.js/Python governance sidecars, Next.js explainability frontend; OPA-as-code (POL-01..POL-06); hyperparameter control standards - M4 AGI/ASI Safety & Containment (8 protocols SC-01..SC-08): Luminous Engine Codex, Cognitive Resonance Protocol, Sentinel v2.4, Omni-Sentinel, MV-AGI Governance Stack, Crisis Simulations GC1-GC7, Frontier Risk Taxonomy, Responsible Scaling Policy; capability tiers T0-T5 - M5 Civilizational-Scale Governance: ICGC design, Global Compute Registry, treaty-aligned systemic risk governance, frontier risk outlook 2030-2050, sovereign AI & strategic autonomy, civilizational continuity protocol - M6 Financial Services MRM (6 domains FS-01..FS-06): retail credit, wholesale credit, algo trading, market/liquidity risk, operational/conduct, fiduciary AI advisors; ICAAP Pillar-2 AI add-on; validation pack standard - M7 Kafka ACL Governance & Continuous Compliance Engine: Terraform GaC, S3 WORM with 7-year retention, Merkle anchored daily audit, OPA bundles, CI/CD integration, auditor workflow, regulator-ready report templates - M8 Implementation Roadmap: 5-phase 52-week adoption, 10 KPIs, 10 reports with Markdown <title>/<abstract>/<content> templates Standards alignment: EU AI Act Art. 6/9/10/12/13/14/15/53/55 + Annex III/IV; NIST AI RMF 1.0 + GenAI Profile; ISO/IEC 42001:2023; ISO/IEC 23894/5338; ISO/IEC 27001/27701; OECD AI Principles; GDPR Art. 5/6/9/22/25/32/35; FCRA §604/615; ECOA Reg B §1002.4/.6; Basel III/IV CRR3/CRD6 ICAAP Pillar 2; SR 11-7 / OCC 2011-12; PRA SS1/23; FCA Consumer Duty; MAS FEAT; HKMA HLP; EO 14110 §4.2; OMB M-24-10; Council of Europe AI Convention; SEC 17a-4(f); SLSA L3; Sigstore/Rekor; Cosign; OWASP LLM Top 10; MITRE ATLAS. Headline KPIs: time-to-governed-deployment ≤72h; evidence automation ≥92%; MTTD ≤4 min; MTTR ≤60 min; kinetic kill-switch ≤60s; AIR ≥0.8; PSI ≤0.1; 240+ controls across 16 regulatory axes; 7-year WORM retention. Validation: node -c server.js OK; PM2 clean; all 8 module roots HTTP 200; all 7 pillars (G1-G7) HTTP 200; all 7 crisis scenarios (GC1-GC7) HTTP 200; 12 key endpoint groups HTTP 200; 5 lookup tests passed; 4 404-handling checks confirmed; HTML dashboard 68 KB serves HTTP 200.
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Review these changes at https://app.gitnotebooks.com/OneFineStarstuff/OneFineStarstuff.github.io/pull/72 |
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📝 WalkthroughWalkthroughAdds two large governance/implementation artifacts (ENT-AGI-GOV-MASTER and WFAP-GEMINI-IMPL) as machine-readable JSON, Python generators and HTML renderers, static HTML pages, and new Express API routes in Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant Dev as Developer (generator)
participant FS as FileStore (`data/*.json`)
participant Srv as Server (`server.js`)
participant Browser as Client (browser/API client)
Dev->>FS: run generator scripts (gen-*.py) -> write JSON artifacts
Srv->>FS: load JSON artifacts at startup / on-demand
Browser->>Srv: GET / (static HTML) or /api/... endpoints
alt request static page
Srv-->>Browser: serve `public/*.html`
else request API/module/schema/code
Srv->>FS: query JSON for module/schema/code/case
FS-->>Srv: return JSON or raw code
Srv-->>Browser: respond with JSON or text/plain
end
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Possibly related PRs
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✅ 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)
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Not up to standards ⛔🔴 Issues
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| Category | Results |
|---|---|
| BestPractice | 42 minor |
| Documentation | 9 minor |
| CodeStyle | 17 minor |
| Complexity | 4 minor 12 critical 15 medium |
| Performance | 1 medium |
🟢 Metrics 121 complexity · 19 duplication
Metric Results Complexity 121 Duplication 19
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Actionable comments posted: 12
🤖 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-ent-agi-gov-master-html.py`:
- Around line 101-107: In main(), the current modules = [data[k] for k in
MODULE_ORDER if k in data] silently ignores missing module keys; instead,
validate that every key in MODULE_ORDER exists in data and fail fast with a
clear error if any are missing. Locate the main function and the MODULE_ORDER
usage, compute the set/list of missing = [k for k in MODULE_ORDER if k not in
data], and if missing is non-empty raise an exception (or call sys.exit) with a
message listing the missing module keys so the build fails immediately rather
than producing a partial dashboard.
In `@rag-agentic-dashboard/gen-ent-agi-gov-master.py`:
- Around line 66-105: The hardcoded metadata counts are inconsistent with the
actual lists/functions: update deliverableInventory.regulatoryAxes to derive its
value from the length of the regulatoryAlignment array and set
deliverableInventory.apiEndpointsPlanned to the number of routes returned by
api_endpoints() (or compute it from the actual api_endpoints() output) so the
dashboard shows self-consistent totals; locate and modify the keys
regulatoryAlignment, deliverableInventory.regulatoryAxes,
deliverableInventory.apiEndpointsPlanned and the api_endpoints() call to replace
static numbers with computed counts.
- Around line 921-945: The S3 WORM example enables object lock and replication
on aws_s3_bucket.worm but never enables versioning, which is required; add an
aws_s3_bucket_versioning resource (e.g., aws_s3_bucket_versioning.worm) that
sets versioning to "Enabled" for the source bucket referenced by
aws_s3_bucket.worm, and ensure the destination replica_bucket_arn is versioned
as well (either document that the target bucket must have an
aws_s3_bucket_versioning resource enabled or add a corresponding resource for
the replica when you control it); update references in
aws_s3_bucket_object_lock_configuration.worm and
aws_s3_bucket_replication_configuration.worm to rely on the bucket after
versioning is enabled.
- Around line 984-999: In daily_audit, ObjectLockRetainUntilDate is incorrectly
set to the current time; compute a UTC timestamp 7 years in the future and pass
that instead: calculate future_date = (datetime.utcnow() +
relativedelta(years=7)) and format it with strftime("%Y-%m-%dT%H:%M:%SZ")
(import datetime and dateutil.relativedelta or use a safe year-add helper) and
use that variable for ObjectLockRetainUntilDate in the s3.put_object call; keep
the existing manifest and other fields unchanged.
In `@rag-agentic-dashboard/public/ent-agi-gov-master.html`:
- Around line 119-121: Update the stale API count in the Deliverable Inventory:
inside the div with id="inventory" (the table with class 'kv'), find the row
where the key td (class='k') equals "apiEndpointsPlanned" and change the
corresponding value td (class='v') from "95" to "56" so it matches the hero KPI
and the API section.
- Line 101: The TOC nav (.toc) contains truncated anchor labels — specifically
the anchors with href '#M5' and '#M7' — so restore their full label text
(replace "M5 · Civilizational-Scale Governance & Compute Over" and "M7 · Kafka
ACL Governance & Continuous Compliance E" with the complete, intended strings)
within the <nav class="toc"> markup, and fix the generator/template that emits
these items so it outputs the full labels for anchors like '#M5' and '#M7'
(update the template or data source that builds the nav entries to use the full
label values).
- Around line 283-286: The paragraph under the section with id
"regulatory-matrix" claims "the headline list of 16 axes" but the <ul> contains
15 <li> items; fix by either adding the missing regulatory axis as a new <li>
(ensuring it matches the M2 — Regulatory Alignment Matrix master list) or change
the paragraph text to say "15 axes" to match the current list; update the <p
class="summary"> text or the <ul> accordingly so the count and list stay
aligned.
- Around line 73-80: The file contains sensitive "CONFIDENTIAL" governance
content exposed in the public static HTML (see header element with class="hero",
the div with class="doc-ref", the H1 title "Enterprise AGI/ASI Governance Master
Framework" and the span.badge elements), so remove or sanitize that content from
the publicly served asset: either move the document out of the public static
assets into an authenticated endpoint or CMS, replace the confidential text in
the public file with a non-sensitive placeholder or summary, and update any
build/deploy scripts to ensure the header/div/doc-ref/h1 content is not bundled
into public/ static assets; also verify the HTTP 200 endpoint is restricted or
removed so the sensitive page is no longer directly fetchable.
- Line 126: The H2 headings are rendering duplicated module prefixes (e.g., "M1
· M1 — Multilayered AI Governance Pillars (G1-G7)") because the template is
concatenating the module id twice; locate the heading generation that outputs
"<h2>…</h2>" for section titles (the string starting "M1 · M1 — Multilayered AI
Governance Pillars (G1-G7)" and similar entries) and remove the redundant module
id concatenation so the heading uses either the moduleId variable OR the
sectionTitle (not both), e.g. change occurrences that build "moduleId + ' · ' +
moduleId + ' — ' + title" to a single prefix like "moduleId + ' — ' + title" or
just use title.
- Around line 614-629: In daily_audit, the S3 listing only handles the first
list_objects_v2 page and the ObjectLockRetainUntilDate is set to now; modify
daily_audit to paginate through all pages by looping on list_objects_v2 with
ContinuationToken (check IsTruncated and use NextContinuationToken) and append
each object's body to leaves until done, then compute the merkle root; also
compute a retention date seven years in the future (e.g., using datetime + 7
years via dateutil.relativedelta or adding 7*365 days carefully) and set
ObjectLockRetainUntilDate to that future ISO8601 UTC timestamp when calling
s3.put_object for the manifest.
In `@rag-agentic-dashboard/server.js`:
- Around line 21269-21277: eagvFindModule currently falls back to any top-level
EAGV property (via EAGV[mid]) which lets non-module entries (e.g., "meta",
"schemas") be treated as modules; remove that fallback and only resolve modules
by whitelisting against EAGV_MODULE_KEYS: iterate EAGV_MODULE_KEYS and match
either the module's id (case-insensitive) or the key itself against the
requested mid, returning the module if found, otherwise return null so
non-module ids yield 404; update eagvFindModule to stop using EAGV[mid] and only
consult EAGV_MODULE_KEYS and EAGV[k].
- Around line 21303-21306: The expressions access sections[0] without guarding
for a missing or empty sections array (e.g., EAGV.M1_pillars.sections[0]),
causing runtime errors; update each occurrence (EAGV.M1_pillars,
EAGV.M2_regulatory, EAGV.M3_architectures, EAGV.M4_safety and the financial-mrm
equivalents) to first check that .sections exists and has length > 0 (or use
optional chaining with .sections?.[0]) before indexing and then safely fall back
to an empty array when computing .length so the API mirrors the generator
behavior.
🪄 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/ent-agi-gov-master.jsonrag-agentic-dashboard/gen-ent-agi-gov-master-html.pyrag-agentic-dashboard/gen-ent-agi-gov-master.pyrag-agentic-dashboard/public/ent-agi-gov-master.htmlrag-agentic-dashboard/server.js
| def daily_audit(bucket, prefix, signing_key): | ||
| s3 = boto3.client("s3") | ||
| leaves = [] | ||
| for o in s3.list_objects_v2(Bucket=bucket, Prefix=prefix).get("Contents", []): | ||
| body = s3.get_object(Bucket=bucket, Key=o["Key"])["Body"].read() | ||
| leaves.append(body) | ||
| root = merkle(leaves) | ||
| sig = signing_key.sign(root) | ||
| manifest = {"date": time.strftime("%Y-%m-%d"), | ||
| "merkleRoot": root.hex(), | ||
| "signature": sig.hex(), | ||
| "leafCount": len(leaves)} | ||
| s3.put_object(Bucket=bucket, Key=f"{prefix}/_manifests/{manifest['date']}.json", | ||
| Body=json.dumps(manifest).encode(), | ||
| ObjectLockMode="COMPLIANCE", | ||
| ObjectLockRetainUntilDate=time.strftime("%Y-%m-%dT%H:%M:%SZ")) |
There was a problem hiding this comment.
🧩 Analysis chain
🌐 Web query:
For AWS S3 PutObject with ObjectLockRetainUntilDate, must the retention timestamp be in the future, and what happens if it is set to the current time?
💡 Result:
For S3 PutObject with Object Lock (setting ObjectLockRetainUntilDate / x-amz-object-lock-retain-until-date), AWS documentation does not state that the Retain Until Date must be strictly in the future. What happens if you set it to the current time is not explicitly documented in the sources found. However, Object Lock stores the provided retain-until timestamp in object metadata and protects the object version until the retention period expires; once the retention period expires, the object version can be overwritten or deleted. Therefore, if you set Retain Until Date to “now”, the retention period would effectively be at/near expiry immediately upon creation, meaning the object would provide little to no “locked” window beyond upload time. If you need guarantees, set a Retain Until Date in the future (or use bucket default retention with an appropriate duration), and note that you can extend retention later only by supplying a later Retain Until Date.
Citations:
- 1: https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock.html
- 2: https://docs.aws.amazon.com/AmazonS3/latest/API/API_PutObjectRetention.html
- 3: https://docs.aws.amazon.com/AmazonS3/latest/API/API_ObjectLockRetention.html
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Retain-until timestamp is set to current time instead of 7-year future date.
The ObjectLockRetainUntilDate parameter on lines 996–999 is set to the current UTC time via time.strftime("%Y-%m-%dT%H:%M:%SZ"), which means the retention period expires immediately upon object creation. This contradicts the 7-year WORM retention requirement documented throughout the codebase (SEC 17a-4(f), SR 11-7). Compute a future UTC date 7 years ahead before calling put_object.
Suggested fix
-import hashlib, json, time, boto3
+import hashlib, json, time, boto3
+from datetime import datetime, timedelta, timezone
@@
- s3.put_object(Bucket=bucket, Key=f"{prefix}/_manifests/{manifest['date']}.json",
+ retain_until = (
+ datetime.now(timezone.utc) + timedelta(days=365 * 7)
+ ).strftime("%Y-%m-%dT%H:%M:%SZ")
+ s3.put_object(Bucket=bucket, Key=f"{prefix}/_manifests/{manifest['date']}.json",
Body=json.dumps(manifest).encode(),
ObjectLockMode="COMPLIANCE",
- ObjectLockRetainUntilDate=time.strftime("%Y-%m-%dT%H:%M:%SZ"))
+ ObjectLockRetainUntilDate=retain_until)🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-ent-agi-gov-master.py` around lines 984 - 999, In
daily_audit, ObjectLockRetainUntilDate is incorrectly set to the current time;
compute a UTC timestamp 7 years in the future and pass that instead: calculate
future_date = (datetime.utcnow() + relativedelta(years=7)) and format it with
strftime("%Y-%m-%dT%H:%M:%SZ") (import datetime and dateutil.relativedelta or
use a safe year-add helper) and use that variable for ObjectLockRetainUntilDate
in the s3.put_object call; keep the existing manifest and other fields
unchanged.
| <header class="hero"> | ||
| <div class="doc-ref">ENT-AGI-GOV-MASTER-WP-035 · CONFIDENTIAL — Board / C-Suite / Prudential Supervisor / Treaty Authority / Internal & External Audit</div> | ||
| <h1>Enterprise AGI/ASI Governance Master Framework (2026-2030)</h1> | ||
| <p class="subtitle">Institutional-grade, regulator-ready AGI/ASI and enterprise AI governance frameworks, reference architectures, safety and containment protocols, financial-services model risk management, civilizational-scale compute oversight, and implementation roadmaps for Fortune 500, Global 2000, and G-SIFIs.</p> | ||
| <div class="badges"> | ||
| <span class="badge">Version 1.0.0</span> | ||
| <span class="badge">Date 2026-04-25</span> | ||
| <span class="badge">Horizon 2026-2030 (with 2030-2050 frontier outlook)</span> |
There was a problem hiding this comment.
Don't publish a CONFIDENTIAL framework from public/.
This file is being shipped from rag-agentic-dashboard/public/, so it will be directly fetchable as a static asset while Lines 74-80 classify it for internal/regulatory audiences only. The PR notes that the HTML already serves over HTTP 200, so this is an actual authz/compliance leak unless the content is sanitized or moved behind an authenticated route.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/public/ent-agi-gov-master.html` around lines 73 - 80,
The file contains sensitive "CONFIDENTIAL" governance content exposed in the
public static HTML (see header element with class="hero", the div with
class="doc-ref", the H1 title "Enterprise AGI/ASI Governance Master Framework"
and the span.badge elements), so remove or sanitize that content from the
publicly served asset: either move the document out of the public static assets
into an authenticated endpoint or CMS, replace the confidential text in the
public file with a non-sensitive placeholder or summary, and update any
build/deploy scripts to ensure the header/div/doc-ref/h1 content is not bundled
into public/ static assets; also verify the HTTP 200 endpoint is restricted or
removed so the sensitive page is no longer directly fetchable.
| </section> | ||
|
|
||
| <section class='module' id='M1'> | ||
| <h2>M1 · M1 — Multilayered AI Governance Pillars (G1-G7)</h2> |
There was a problem hiding this comment.
Remove the duplicated module prefixes in the section headings.
These H2s render as M1 · M1 — ..., M2 · M2 — ..., etc. The generator appears to prepend the module id even though the section title already includes it.
Also applies to: 142-142, 154-154, 170-170, 186-186, 217-217, 235-235, 267-267
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/public/ent-agi-gov-master.html` at line 126, The H2
headings are rendering duplicated module prefixes (e.g., "M1 · M1 — Multilayered
AI Governance Pillars (G1-G7)") because the template is concatenating the module
id twice; locate the heading generation that outputs "<h2>…</h2>" for section
titles (the string starting "M1 · M1 — Multilayered AI Governance Pillars
(G1-G7)" and similar entries) and remove the redundant module id concatenation
so the heading uses either the moduleId variable OR the sectionTitle (not both),
e.g. change occurrences that build "moduleId + ' · ' + moduleId + ' — ' + title"
to a single prefix like "moduleId + ' — ' + title" or just use title.
| <section class="module" id="regulatory-matrix"> | ||
| <h2>Regulatory Alignment (Headline)</h2> | ||
| <p class="summary">Master crosswalk lives in <code>M2 — Regulatory Alignment Matrix</code>; the headline list of 16 axes:</p> | ||
| <ul><li>EU AI Act (Regulation (EU) 2024/1689) — Annex III, Annex IV, Art. 9/10/12/13/14/15, Art. 53/55 GPAI</li><li>NIST AI Risk Management Framework 1.0 + GenAI Profile (AI 600-1)</li><li>ISO/IEC 42001:2023 — AI Management System</li><li>ISO/IEC 23894:2023 — AI Risk Management</li><li>ISO/IEC 5338:2023 — AI System Lifecycle</li><li>ISO/IEC 27001:2022 / 27701:2019 / 27018</li><li>OECD AI Principles (2019, updated 2024)</li><li>GDPR (Regulation (EU) 2016/679); UK GDPR; CCPA/CPRA</li><li>US FCRA / ECOA / Reg B / CFPB UDAAP</li><li>Basel III/IV (CRR3/CRD6); ICAAP Pillar 2; BCBS 239</li><li>SR 11-7 / OCC 2011-12 / PRA SS1/23 — Model Risk Management</li><li>PRA SS2/21 (Outsourcing); FCA Consumer Duty; FCA AI Update 2024</li><li>MAS FEAT principles + Veritas toolkit; HKMA HLP on Big Data & AI</li><li>EO 14110, OMB M-24-10, US AI Bill of Rights blueprint</li><li>Council of Europe AI Convention 2024</li></ul> |
There was a problem hiding this comment.
The “16 axes” summary only lists 15 items.
Lines 285-286 promise 16 regulatory axes, but the rendered bullet list contains 15 entries. Please add the missing axis or change the count so the headline stays aligned with M2.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/public/ent-agi-gov-master.html` around lines 283 - 286,
The paragraph under the section with id "regulatory-matrix" claims "the headline
list of 16 axes" but the <ul> contains 15 <li> items; fix by either adding the
missing regulatory axis as a new <li> (ensuring it matches the M2 — Regulatory
Alignment Matrix master list) or change the paragraph text to say "15 axes" to
match the current list; update the <p class="summary"> text or the <ul>
accordingly so the count and list stay aligned.
| def daily_audit(bucket, prefix, signing_key): | ||
| s3 = boto3.client("s3") | ||
| leaves = [] | ||
| for o in s3.list_objects_v2(Bucket=bucket, Prefix=prefix).get("Contents", []): | ||
| body = s3.get_object(Bucket=bucket, Key=o["Key"])["Body"].read() | ||
| leaves.append(body) | ||
| root = merkle(leaves) | ||
| sig = signing_key.sign(root) | ||
| manifest = {"date": time.strftime("%Y-%m-%d"), | ||
| "merkleRoot": root.hex(), | ||
| "signature": sig.hex(), | ||
| "leafCount": len(leaves)} | ||
| s3.put_object(Bucket=bucket, Key=f"{prefix}/_manifests/{manifest['date']}.json", | ||
| Body=json.dumps(manifest).encode(), | ||
| ObjectLockMode="COMPLIANCE", | ||
| ObjectLockRetainUntilDate=time.strftime("%Y-%m-%dT%H:%M:%SZ")) |
There was a problem hiding this comment.
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🏁 Script executed:
wc -l rag-agentic-dashboard/public/ent-agi-gov-master.htmlRepository: OneFineStarstuff/OneFineStarstuff.github.io
Length of output: 144
🏁 Script executed:
sed -n '614,629p' rag-agentic-dashboard/public/ent-agi-gov-master.htmlRepository: OneFineStarstuff/OneFineStarstuff.github.io
Length of output: 992
🏁 Script executed:
grep -n -i "seven\|7.*year\|retention.*year" rag-agentic-dashboard/public/ent-agi-gov-master.htmlRepository: OneFineStarstuff/OneFineStarstuff.github.io
Length of output: 8770
🌐 Web query:
AWS S3 list_objects_v2 pagination 1000 limit ContinuationToken
💡 Result:
AWS S3 ListObjectsV2 pagination uses a per-request limit (MaxKeys) of up to 1,000 keys and continues with tokens returned by the previous response. 1) The “1000 limit” - ListObjectsV2 returns “some or all (up to 1,000) of the objects in a bucket with each request”. - MaxKeys lets you control the maximum number of keys returned (default is up to 1,000; it “will never contain more”). 2) ContinuationToken vs NextContinuationToken - ContinuationToken (request parameter): - You send ContinuationToken to tell S3 “the list is being continued on this bucket with a token”. - It is obfuscated and “is not a real key”. - If you send a ContinuationToken, it will be included in the response. - NextContinuationToken (response element): - When IsTruncated is true (meaning “there are more keys in the bucket that can be listed”), the response includes NextContinuationToken. - You continue by taking NextContinuationToken from the previous response and sending it back as the next request’s ContinuationToken. - NextContinuationToken is also obfuscated and “is not a real key”. 3) Typical control flow - Make ListObjectsV2 call (optionally set MaxKeys). - Read IsTruncated: - If false: you’re done. - If true: keep calling ListObjectsV2 with ContinuationToken = NextContinuationToken from the prior response. 4) AWS CLI / SDK pagination notes - AWS CLI paginates this operation; it may expose a token (NextToken/starting-token) for resuming, rather than directly exposing ContinuationToken/NextContinuationToken. Regardless, it is the same concept: resume from the token returned by a truncated response. - AWS SDK paginators also automate this loop. Example request/response logic (conceptual) - Initial request: ListObjectsV2(Bucket=..., MaxKeys=1000) - If IsTruncated==true: - Next token = response.NextContinuationToken - Next request: ListObjectsV2(Bucket=..., MaxKeys=1000, ContinuationToken=next token) - Repeat until IsTruncated==false.
Citations:
- 1: https://docs.aws.amazon.com/AmazonS3/latest/API/API_ListObjectsV2.html
- 2: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3/client/list_objects_v2.html
- 3: https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3api/list-objects-v2.html
- 4: https://docs.aws.amazon.com/boto3/latest/reference/services/s3/paginator/ListObjectsV2.html
The WORM audit sample requires pagination and correct retention date.
Lines 617-629 only process the first list_objects_v2 page, so prefixes with more than 1,000 objects will produce an incomplete Merkle root. Additionally, the code sets ObjectLockRetainUntilDate to the current time instead of a future date, which conflicts with the documented 7-year retention requirement (SEC 17a-4(f) / SR 11-7). Paginate the listing by checking IsTruncated and using NextContinuationToken, and compute a retention date 7 years in the future.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/public/ent-agi-gov-master.html` around lines 614 - 629,
In daily_audit, the S3 listing only handles the first list_objects_v2 page and
the ObjectLockRetainUntilDate is set to now; modify daily_audit to paginate
through all pages by looping on list_objects_v2 with ContinuationToken (check
IsTruncated and use NextContinuationToken) and append each object's body to
leaves until done, then compute the merkle root; also compute a retention date
seven years in the future (e.g., using datetime + 7 years via
dateutil.relativedelta or adding 7*365 days carefully) and set
ObjectLockRetainUntilDate to that future ISO8601 UTC timestamp when calling
s3.put_object for the manifest.
… Implementation Plan (2026-2030) - 12 modules / 45 sections / 8 schemas / 12 code examples / 5 case studies / 75 API routes - Architecture: 7 planes, 9 data models, 8 data flows, multi-tenancy - AI-driven workflow recommendation with active learning - Adaptive UI/content (context + skill), governed RAG retrieval/faithfulness - Collaborative prompt engineering with lineage - Enterprise model registry (RBAC, compliance metadata, rollback, tagging) - AI Safety & Global Governance reports (existential, misuse, bias, threat, alignment-failure, intl collaboration) - GeminiService gateway: pre-call/post-call pipelines, telemetry, adversarial defense - Security & privacy: GDPR PII redaction, EU AI Act Art. 5 prohibited-practice checks, telemetry integrity - Tasks/Reports management - Strategy: phases, module boundaries, integration patterns, KPIs, risks - Generators: gen-wfap-gemini-impl.py + gen-wfap-gemini-impl-html.py - Dashboard: public/wfap-gemini-impl.html (71 KB) - API: /api/wfap-gemini/* with route ordering fix (/safety-reports/intl-collab now precedes /:id) - Validated: node -c OK; PM2 online; HTTP 200 across modules, schemas, code-examples, case-studies; 404 handling correct
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Actionable comments posted: 9
♻️ Duplicate comments (1)
rag-agentic-dashboard/server.js (1)
21303-21306:⚠️ Potential issue | 🟠 MajorUnguarded
sections[0]access can throw TypeError.If a module exists but its
sectionsproperty is undefined or an empty array, accessingsections[0]will throw a TypeError (e.g.,undefined[0]), causing a 500 response. This pattern appears throughout the codebase despite safer alternatives being used elsewhere (e.g., line 21448 uses((EAGV.M8_roadmap && EAGV.M8_roadmap.sections || []).find(...)).Proposed fix using a helper function
+const eagvFirstSection = (module) => + Array.isArray(module?.sections) && module.sections.length > 0 ? module.sections[0] : {}; + app.get('/api/ent-agi-gov-master/summary', (_, res) => { const meta = EAGV.meta || {}; res.json({ docRef: meta.docRef, version: meta.version, title: meta.title, horizon: meta.horizon, classification:meta.classification, modules: EAGV_MODULE_KEYS.length, - pillars: (EAGV.M1_pillars && EAGV.M1_pillars.sections[0] && EAGV.M1_pillars.sections[0].pillars || []).length, - regulatoryAxes:(EAGV.M2_regulatory && EAGV.M2_regulatory.sections[0] && EAGV.M2_regulatory.sections[0].rows || []).length, - architectures: (EAGV.M3_architectures && EAGV.M3_architectures.sections[0] && EAGV.M3_architectures.sections[0].architectures || []).length, - safetyProtocols:(EAGV.M4_safety && EAGV.M4_safety.sections[0] && EAGV.M4_safety.sections[0].protocols || []).length, + pillars: (eagvFirstSection(EAGV.M1_pillars).pillars || []).length, + regulatoryAxes:(eagvFirstSection(EAGV.M2_regulatory).rows || []).length, + architectures: (eagvFirstSection(EAGV.M3_architectures).architectures || []).length, + safetyProtocols:(eagvFirstSection(EAGV.M4_safety).protocols || []).length, schemas: Object.keys(EAGV.schemas || {}).length, // ... }); });🤖 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 21303 - 21306, The code is directly indexing sections[0] on modules like EAGV.M1_pillars, EAGV.M2_regulatory, EAGV.M3_architectures and EAGV.M4_safety which can throw if sections is undefined or empty; change those accesses to safely get the first section (e.g., use a small helper getFirstSection(module) that returns (module && (module.sections || [])[0]) or similar) and then use the returned section to compute .pillars/.rows/.architectures/.protocols lengths so that pillars, regulatoryAxes, architectures and safetyProtocols never attempt to index undefined.
🧹 Nitpick comments (1)
rag-agentic-dashboard/server.js (1)
21256-21544: Consider extracting shared helper utilities to reduce duplication.
eagvFindModule/wfapgFindModuleandeagvFindSection/wfapgFindSectionare nearly identical. A generic factory or parameterized helper would reduce maintenance burden:const createModuleFinder = (data, moduleKeys) => (mid) => { const u = String(mid || '').toUpperCase(); for (const k of moduleKeys) { const m = data[k]; if (m && (m.id || '').toUpperCase() === u) return m; if (k.toUpperCase() === u) return m; } return null; }; const eagvFindModule = createModuleFinder(EAGV, EAGV_MODULE_KEYS); const wfapgFindModule = createModuleFinder(WFAPG, WFAPG_MODULE_KEYS);🤖 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 21256 - 21544, Duplicate module/section lookup logic exists in eagvFindModule/eagvFindSection and wfapgFindModule/wfapgFindSection; extract a generic factory to remove duplication. Implement a createModuleFinder(data, moduleKeys) that encapsulates the uppercase id matching and fallback to data[mid], and a createSectionFinder(data, moduleKeys) that iterates module sections and returns { module: m.id, section: s } when matched; then replace eagvFindModule/wfapgFindModule with createModuleFinder(EAGV, EAGV_MODULE_KEYS)/createModuleFinder(WFAPG, WFAPG_MODULE_KEYS) and replace eagvFindSection/wfapgFindSection with the corresponding createSectionFinder calls, ensuring existing behavior (case-insensitive id matching and same return shapes) is preserved.
🤖 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-wfap-gemini-impl-html.py`:
- Around line 90-101: The rendered <h2> duplicates the module id because
render_module currently uses mid · title; update render_module so the heading
uses only the module title (use esc(title) instead of esc(mid) · esc(title))
while keeping mid for the section id attribute; modify the h2 construction in
the render_module function to remove the prefixed mid to avoid duplicate "M1 —"
labels.
In `@rag-agentic-dashboard/gen-wfap-gemini-impl.py`:
- Around line 1001-1008: The rollback endpoint
(router.post("/api/models/:id/rollback")) updates the current model before
verifying/publishing the target, risking leaving no published model if a
subsequent read/write fails; change the logic to first validate
cur.rollbackTargetId and load both models via db.models.find, then perform the
two updates (set target status "published" and current status "paused") inside a
single transaction primitive provided by your data layer (use db.transaction or
equivalent), ensure you commit on success and rollback on error, call
emitAudit({ type: "model.rollback", from: cur.id, to: tgt.id }) after a
successful commit, and return appropriate error responses if validation or any
transactional operation fails.
- Around line 77-89: The deliverableInventory.apis field is hard-coded to 110
but should be computed from the actual API list; call the api_endpoints()
function where the JSON is assembled and set "apis" to the length of that
returned collection (or to the count of endpoints marked published if
api_endpoints() returns metadata) instead of the literal 110 so the JSON matches
the generated routes (see api_endpoints() and the deliverableInventory object).
- Around line 921-960: The code uses json.dumps(...) in the generate function to
sign the envelope but never imports the json module; add "import json" to the
module imports (near other imports at the top of the file) so json.dumps is
defined when SK.sign(json.dumps(...)) is called and the route handler generate
can return the signed envelope without NameError.
In `@rag-agentic-dashboard/server.js`:
- Around line 21393-21443: The Financial-MRM routes (handlers for
'/api/ent-agi-gov-master/financial-mrm' and
'/api/ent-agi-gov-master/financial-mrm/:id') access
EAGV.M6_financialMrm.sections[0] directly which can throw if sections is
undefined; change both to use a safe-access pattern like: const sec =
((EAGV.M6_financialMrm && EAGV.M6_financialMrm.sections) || [])[0] || {}; and
then use (sec.domains || []) before .find(), mirroring the safe patterns used in
the scenarios and kafka-gac handlers.
- Around line 21559-21561: The three properties (architecturePlanes, dataModels,
dataFlows) use the same unguarded sections[0] pattern; create/ reuse a helper
wfapgFirstSection(source) (modeled after the EAGV fix) that safely returns
source.sections?.[0] or null, then replace the current expressions with guarded
forms using that helper (e.g., (wfapgFirstSection(WFAPG.M1_architecture)?.planes
|| []).length, (wfapgFirstSection(WFAPG.M2_dataModels)?.entities || []).length,
(wfapgFirstSection(WFAPG.M3_dataFlows)?.flows || []).length) so accessing
planes/entities/flows is null-safe and consistent with the EAGV approach.
- Around line 21341-21391: The repeated pattern using unguarded sections[0] in
the routes (pillars, regulatory, architectures, safety) should be replaced by
the eagvFirstSection helper; update each handler that currently does const sec =
(EAGV.M1_pillars && EAGV.M1_pillars.sections[0]) || {} (and the analogous
M2_regulatory, M3_architectures, M4_safety lines) to call
eagvFirstSection(EAGV.M1_pillars) etc., then use the returned sec for
sec.pillars/sec.rows/sec.architectures/sec.protocols and for the find() logic in
the :id/:axis endpoints; ensure eagvFirstSection returns {} when input is falsy
or has no sections to preserve existing behavior and avoid direct indexing of
sections[0].
- Around line 21598-21637: The routes for architecture, data-models and
data-flows currently index WFAPG modules' sections directly (e.g.,
WFAPG.M1_architecture.sections[0], WFAPG.M1_architecture.sections[1],
WFAPG.M1_architecture.sections[2], WFAPG.M2_dataModels.sections[0],
WFAPG.M3_dataFlows.sections[0]) which can throw when sections is missing; add a
small helper function wfapgGetSection(module, index) that returns {} when
module?.sections is not an array or index is out of range, and replace direct
accesses in the handlers (the GET handlers for /api/wfap-gemini/architecture,
/architecture/planes, /architecture/topology, /architecture/tenancy,
/api/wfap-gemini/data-models, /api/wfap-gemini/data-models/:id,
/api/wfap-gemini/data-flows, /api/wfap-gemini/data-flows/:id) to call
wfapgGetSection(WFAPG.M1_architecture,0) etc., then use the returned safe object
(sec) as before.
- Around line 21525-21533: The fallback in wfapgFindModule currently returns
WFAPG[mid] without validating it, which can expose non-module properties; update
the fallback to only return WFAPG[mid] when it is a valid module object (e.g.,
has an id string or other module shape) — modify wfapgFindModule to validate
WFAPG[mid] (check WFAPG[mid] && typeof WFAPG[mid].id === 'string') before
returning, keeping the primary lookup over WFAPG_MODULE_KEYS and the existing
behavior otherwise returning null.
---
Duplicate comments:
In `@rag-agentic-dashboard/server.js`:
- Around line 21303-21306: The code is directly indexing sections[0] on modules
like EAGV.M1_pillars, EAGV.M2_regulatory, EAGV.M3_architectures and
EAGV.M4_safety which can throw if sections is undefined or empty; change those
accesses to safely get the first section (e.g., use a small helper
getFirstSection(module) that returns (module && (module.sections || [])[0]) or
similar) and then use the returned section to compute
.pillars/.rows/.architectures/.protocols lengths so that pillars,
regulatoryAxes, architectures and safetyProtocols never attempt to index
undefined.
---
Nitpick comments:
In `@rag-agentic-dashboard/server.js`:
- Around line 21256-21544: Duplicate module/section lookup logic exists in
eagvFindModule/eagvFindSection and wfapgFindModule/wfapgFindSection; extract a
generic factory to remove duplication. Implement a createModuleFinder(data,
moduleKeys) that encapsulates the uppercase id matching and fallback to
data[mid], and a createSectionFinder(data, moduleKeys) that iterates module
sections and returns { module: m.id, section: s } when matched; then replace
eagvFindModule/wfapgFindModule with createModuleFinder(EAGV,
EAGV_MODULE_KEYS)/createModuleFinder(WFAPG, WFAPG_MODULE_KEYS) and replace
eagvFindSection/wfapgFindSection with the corresponding createSectionFinder
calls, ensuring existing behavior (case-insensitive id matching and same return
shapes) is preserved.
🪄 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: 5a168dc2-d16a-40b6-a875-9ec4954edb22
📒 Files selected for processing (5)
rag-agentic-dashboard/data/wfap-gemini-impl.jsonrag-agentic-dashboard/gen-wfap-gemini-impl-html.pyrag-agentic-dashboard/gen-wfap-gemini-impl.pyrag-agentic-dashboard/public/wfap-gemini-impl.htmlrag-agentic-dashboard/server.js
✅ Files skipped from review due to trivial changes (1)
- rag-agentic-dashboard/data/wfap-gemini-impl.json
| def render_module(mod): | ||
| mid = mod.get("id", "") | ||
| title = mod.get("title", "") | ||
| summary = mod.get("summary", "") | ||
| sections = mod.get("sections", []) or [] | ||
| html = [f"<section class='module' id='{esc(mid)}'>"] | ||
| html.append(f"<h2>{esc(mid)} · {esc(title)}</h2>") | ||
| if summary: | ||
| html.append(f"<p class='summary'>{esc(summary)}</p>") | ||
| for sec in sections: | ||
| html.append(render_section(sec)) | ||
| html.append("</section>") |
There was a problem hiding this comment.
Avoid duplicating the module id in the rendered <h2>.
Line 96 prepends mid, but the source titles already start with M1 —, M2 —, etc., so the page renders headings like M1 · M1 — Platform Architecture....
💡 Suggested fix
def render_module(mod):
mid = mod.get("id", "")
title = mod.get("title", "")
summary = mod.get("summary", "")
sections = mod.get("sections", []) or []
html = [f"<section class='module' id='{esc(mid)}'>"]
- html.append(f"<h2>{esc(mid)} · {esc(title)}</h2>")
+ display_title = title if title.startswith(mid) else f"{mid} · {title}"
+ html.append(f"<h2>{esc(display_title)}</h2>")🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-wfap-gemini-impl-html.py` around lines 90 - 101,
The rendered <h2> duplicates the module id because render_module currently uses
mid · title; update render_module so the heading uses only the module title (use
esc(title) instead of esc(mid) · esc(title)) while keeping mid for the section
id attribute; modify the h2 construction in the render_module function to remove
the prefixed mid to avoid duplicate "M1 —" labels.
| "deliverableInventory": { | ||
| "modules": 12, | ||
| "architectureLayers": 7, | ||
| "dataFlows": 8, | ||
| "dataModels": 9, | ||
| "apis": 110, | ||
| "integrationPatterns": 8, | ||
| "schemas": 8, | ||
| "codeExamples": 12, | ||
| "caseStudies": 5, | ||
| "phases": 6, | ||
| "kpis": 15, | ||
| }, |
There was a problem hiding this comment.
Derive the published API count from api_endpoints() instead of hard-coding it.
Line 82 says there are 110 APIs, but Lines 1254-1276 generate only 75 published routes. The JSON and rendered HTML will contradict themselves.
💡 Suggested fix
-def meta():
+def meta(api_route_count):
return {
...
"deliverableInventory": {
"modules": 12,
"architectureLayers": 7,
"dataFlows": 8,
"dataModels": 9,
- "apis": 110,
+ "apis": api_route_count,
"integrationPatterns": 8,
"schemas": 8,
"codeExamples": 12,
"caseStudies": 5,
"phases": 6,
"kpis": 15,
},
...
}
def main():
+ api = api_endpoints()
data = {
- "meta": meta(),
+ "meta": meta(len(api["routes"])),
"executiveSummary": executive_summary(),
...
- "apiEndpoints": api_endpoints(),
+ "apiEndpoints": api,
}🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-wfap-gemini-impl.py` around lines 77 - 89, The
deliverableInventory.apis field is hard-coded to 110 but should be computed from
the actual API list; call the api_endpoints() function where the JSON is
assembled and set "apis" to the length of that returned collection (or to the
count of endpoints marked published if api_endpoints() returns metadata) instead
of the literal 110 so the JSON matches the generated routes (see api_endpoints()
and the deliverableInventory object).
| "geminiGatewayPython": '''#!/usr/bin/env python3 | ||
| """GeminiService gateway — pre/post pipeline (FastAPI).""" | ||
| from fastapi import FastAPI, Header, HTTPException | ||
| from pydantic import BaseModel | ||
| import hashlib, time | ||
| from cryptography.hazmat.primitives.asymmetric import ed25519 | ||
| from policy import art5_check, injection_score, redact_pii, output_safety | ||
|
|
||
| app = FastAPI() | ||
| SK = ed25519.Ed25519PrivateKey.generate() # demo only; load from KMS | ||
|
|
||
| class GenReq(BaseModel): | ||
| user_id: str | ||
| tenant_id: str | ||
| model_id: str | ||
| prompt: str | ||
|
|
||
| @app.post("/api/gemini/generate") | ||
| def generate(req: GenReq, authorization: str = Header(...)): | ||
| redacted, flags = redact_pii(req.prompt) | ||
| if art5_check(redacted) == "block": | ||
| raise HTTPException(451, "Art. 5 prohibited practice") | ||
| if injection_score(redacted) > 0.85: | ||
| raise HTTPException(400, "prompt injection suspected") | ||
| completion = call_gemini(req.model_id, redacted) | ||
| if output_safety(completion) == "refuse": | ||
| return {"refused": True, "reason": "safety classifier"} | ||
| envelope = { | ||
| "callId": hashlib.sha256(f"{req.user_id}{time.time_ns()}".encode()).hexdigest(), | ||
| "userId": req.user_id, "tenantId": req.tenant_id, | ||
| "modelId": req.model_id, | ||
| "promptHash": hashlib.sha256(req.prompt.encode()).hexdigest(), | ||
| "completionHash": hashlib.sha256(completion.encode()).hexdigest(), | ||
| "safetyDecision": "allow", "art5Decision": "allow", | ||
| "ts": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), | ||
| } | ||
| sig = SK.sign(json.dumps(envelope, sort_keys=True).encode()).hex() | ||
| envelope["signature"] = {"alg": "Ed25519", "value": sig, "keyId": "kms:gemini-gw-2026"} | ||
| emit_kafka("ai.gemini.telemetry.v1", envelope) | ||
| return {"completion": completion, "envelope": envelope} |
There was a problem hiding this comment.
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
python - <<'PY'
from pathlib import Path
import re
text = Path("rag-agentic-dashboard/gen-wfap-gemini-impl.py").read_text()
m = re.search(r'"geminiGatewayPython":\s*\'\'\'(.*?)\'\'\',', text, re.S)
snippet = m.group(1)
print("uses json.dumps:", "json.dumps" in snippet)
print("imports json:", bool(re.search(r'^\s*import\s+json\b|^\s*import\b.*\bjson\b', snippet, re.M)))
PYRepository: OneFineStarstuff/OneFineStarstuff.github.io
Length of output: 129
Add the missing json import to the FastAPI sample.
The code calls json.dumps(...) but the imports do not include json, causing a NameError when executed.
Suggested fix
-from pydantic import BaseModel
-import hashlib, time
+from pydantic import BaseModel
+import hashlib, json, time📝 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.
| "geminiGatewayPython": '''#!/usr/bin/env python3 | |
| """GeminiService gateway — pre/post pipeline (FastAPI).""" | |
| from fastapi import FastAPI, Header, HTTPException | |
| from pydantic import BaseModel | |
| import hashlib, time | |
| from cryptography.hazmat.primitives.asymmetric import ed25519 | |
| from policy import art5_check, injection_score, redact_pii, output_safety | |
| app = FastAPI() | |
| SK = ed25519.Ed25519PrivateKey.generate() # demo only; load from KMS | |
| class GenReq(BaseModel): | |
| user_id: str | |
| tenant_id: str | |
| model_id: str | |
| prompt: str | |
| @app.post("/api/gemini/generate") | |
| def generate(req: GenReq, authorization: str = Header(...)): | |
| redacted, flags = redact_pii(req.prompt) | |
| if art5_check(redacted) == "block": | |
| raise HTTPException(451, "Art. 5 prohibited practice") | |
| if injection_score(redacted) > 0.85: | |
| raise HTTPException(400, "prompt injection suspected") | |
| completion = call_gemini(req.model_id, redacted) | |
| if output_safety(completion) == "refuse": | |
| return {"refused": True, "reason": "safety classifier"} | |
| envelope = { | |
| "callId": hashlib.sha256(f"{req.user_id}{time.time_ns()}".encode()).hexdigest(), | |
| "userId": req.user_id, "tenantId": req.tenant_id, | |
| "modelId": req.model_id, | |
| "promptHash": hashlib.sha256(req.prompt.encode()).hexdigest(), | |
| "completionHash": hashlib.sha256(completion.encode()).hexdigest(), | |
| "safetyDecision": "allow", "art5Decision": "allow", | |
| "ts": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), | |
| } | |
| sig = SK.sign(json.dumps(envelope, sort_keys=True).encode()).hex() | |
| envelope["signature"] = {"alg": "Ed25519", "value": sig, "keyId": "kms:gemini-gw-2026"} | |
| emit_kafka("ai.gemini.telemetry.v1", envelope) | |
| return {"completion": completion, "envelope": envelope} | |
| "geminiGatewayPython": '''#!/usr/bin/env python3 | |
| """GeminiService gateway — pre/post pipeline (FastAPI).""" | |
| from fastapi import FastAPI, Header, HTTPException | |
| from pydantic import BaseModel | |
| import hashlib, json, time | |
| from cryptography.hazmat.primitives.asymmetric import ed25519 | |
| from policy import art5_check, injection_score, redact_pii, output_safety | |
| app = FastAPI() | |
| SK = ed25519.Ed25519PrivateKey.generate() # demo only; load from KMS | |
| class GenReq(BaseModel): | |
| user_id: str | |
| tenant_id: str | |
| model_id: str | |
| prompt: str | |
| `@app.post`("/api/gemini/generate") | |
| def generate(req: GenReq, authorization: str = Header(...)): | |
| redacted, flags = redact_pii(req.prompt) | |
| if art5_check(redacted) == "block": | |
| raise HTTPException(451, "Art. 5 prohibited practice") | |
| if injection_score(redacted) > 0.85: | |
| raise HTTPException(400, "prompt injection suspected") | |
| completion = call_gemini(req.model_id, redacted) | |
| if output_safety(completion) == "refuse": | |
| return {"refused": True, "reason": "safety classifier"} | |
| envelope = { | |
| "callId": hashlib.sha256(f"{req.user_id}{time.time_ns()}".encode()).hexdigest(), | |
| "userId": req.user_id, "tenantId": req.tenant_id, | |
| "modelId": req.model_id, | |
| "promptHash": hashlib.sha256(req.prompt.encode()).hexdigest(), | |
| "completionHash": hashlib.sha256(completion.encode()).hexdigest(), | |
| "safetyDecision": "allow", "art5Decision": "allow", | |
| "ts": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), | |
| } | |
| sig = SK.sign(json.dumps(envelope, sort_keys=True).encode()).hex() | |
| envelope["signature"] = {"alg": "Ed25519", "value": sig, "keyId": "kms:gemini-gw-2026"} | |
| emit_kafka("ai.gemini.telemetry.v1", envelope) | |
| return {"completion": completion, "envelope": envelope} |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-wfap-gemini-impl.py` around lines 921 - 960, The
code uses json.dumps(...) in the generate function to sign the envelope but
never imports the json module; add "import json" to the module imports (near
other imports at the top of the file) so json.dumps is defined when
SK.sign(json.dumps(...)) is called and the route handler generate can return the
signed envelope without NameError.
| router.post("/api/models/:id/rollback", async (req, res) => { | ||
| const cur = await db.models.find(req.params.id); | ||
| if (!cur.rollbackTargetId) return res.status(400).json({ error: "no rollback target" }); | ||
| const tgt = await db.models.find(cur.rollbackTargetId); | ||
| await db.models.update(cur.id, { status: "paused" }); | ||
| await db.models.update(tgt.id, { status: "published" }); | ||
| emitAudit({ type: "model.rollback", from: cur.id, to: tgt.id }); | ||
| res.json({ rolledBackTo: tgt.id }); |
There was a problem hiding this comment.
Make the rollback example atomic.
This sample pauses the current model before it proves the target exists and can be published. If the second lookup or write fails, the example leaves the registry with no valid published model.
💡 Suggested fix
router.post("/api/models/:id/rollback", async (req, res) => {
- const cur = await db.models.find(req.params.id);
- if (!cur.rollbackTargetId) return res.status(400).json({ error: "no rollback target" });
- const tgt = await db.models.find(cur.rollbackTargetId);
- await db.models.update(cur.id, { status: "paused" });
- await db.models.update(tgt.id, { status: "published" });
+ await db.transaction(async (tx) => {
+ const cur = await tx.models.find(req.params.id);
+ if (!cur?.rollbackTargetId) throw new Error("no rollback target");
+
+ const tgt = await tx.models.find(cur.rollbackTargetId);
+ if (!tgt) throw new Error("rollback target missing");
+
+ await tx.models.update(tgt.id, { status: "published" });
+ await tx.models.update(cur.id, { status: "paused" });
+ });
emitAudit({ type: "model.rollback", from: cur.id, to: tgt.id });
res.json({ rolledBackTo: tgt.id });
});Adapt the transaction primitive to the actual data layer.
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@rag-agentic-dashboard/gen-wfap-gemini-impl.py` around lines 1001 - 1008, The
rollback endpoint (router.post("/api/models/:id/rollback")) updates the current
model before verifying/publishing the target, risking leaving no published model
if a subsequent read/write fails; change the logic to first validate
cur.rollbackTargetId and load both models via db.models.find, then perform the
two updates (set target status "published" and current status "paused") inside a
single transaction primitive provided by your data layer (use db.transaction or
equivalent), ensure you commit on success and rollback on error, call
emitAudit({ type: "model.rollback", from: cur.id, to: tgt.id }) after a
successful commit, and return appropriate error responses if validation or any
transactional operation fails.
| // Pillars (G1-G7) | ||
| app.get('/api/ent-agi-gov-master/pillars', (_, res) => { | ||
| const sec = (EAGV.M1_pillars && EAGV.M1_pillars.sections[0]) || {}; | ||
| res.json(sec.pillars || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/pillars/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const sec = (EAGV.M1_pillars && EAGV.M1_pillars.sections[0]) || {}; | ||
| const p = (sec.pillars || []).find(x => (x.id || '').toUpperCase() === u); | ||
| if (!p) return res.status(404).json({ error: 'pillar not found', id: req.params.id }); | ||
| res.json(p); | ||
| }); | ||
|
|
||
| // Regulatory matrix | ||
| app.get('/api/ent-agi-gov-master/regulatory', (_, res) => { | ||
| const sec = (EAGV.M2_regulatory && EAGV.M2_regulatory.sections[0]) || {}; | ||
| res.json(sec.rows || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/regulatory/:axis', (req, res) => { | ||
| const u = decodeURIComponent(req.params.axis).toLowerCase(); | ||
| const sec = (EAGV.M2_regulatory && EAGV.M2_regulatory.sections[0]) || {}; | ||
| const row = (sec.rows || []).find(x => (x.axis || '').toLowerCase() === u); | ||
| if (!row) return res.status(404).json({ error: 'regulatory axis not found', axis: req.params.axis }); | ||
| res.json(row); | ||
| }); | ||
|
|
||
| // Reference architectures | ||
| app.get('/api/ent-agi-gov-master/architectures', (_, res) => { | ||
| const sec = (EAGV.M3_architectures && EAGV.M3_architectures.sections[0]) || {}; | ||
| res.json(sec.architectures || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/architectures/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const sec = (EAGV.M3_architectures && EAGV.M3_architectures.sections[0]) || {}; | ||
| const a = (sec.architectures || []).find(x => (x.id || '').toUpperCase() === u); | ||
| if (!a) return res.status(404).json({ error: 'architecture not found', id: req.params.id }); | ||
| res.json(a); | ||
| }); | ||
|
|
||
| // Safety / containment protocols | ||
| app.get('/api/ent-agi-gov-master/safety', (_, res) => { | ||
| const sec = (EAGV.M4_safety && EAGV.M4_safety.sections[0]) || {}; | ||
| res.json(sec.protocols || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/safety/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const sec = (EAGV.M4_safety && EAGV.M4_safety.sections[0]) || {}; | ||
| const p = (sec.protocols || []).find(x => (x.id || '').toUpperCase() === u); | ||
| if (!p) return res.status(404).json({ error: 'safety protocol not found', id: req.params.id }); | ||
| res.json(p); | ||
| }); |
There was a problem hiding this comment.
Same unguarded sections[0] pattern repeats here.
Lines 21343, 21348, 21356, 21361, 21369, 21374, 21382, 21387 all use EAGV.module && EAGV.module.sections[0]. Apply the same eagvFirstSection helper proposed above.
🤖 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 21341 - 21391, The repeated
pattern using unguarded sections[0] in the routes (pillars, regulatory,
architectures, safety) should be replaced by the eagvFirstSection helper; update
each handler that currently does const sec = (EAGV.M1_pillars &&
EAGV.M1_pillars.sections[0]) || {} (and the analogous M2_regulatory,
M3_architectures, M4_safety lines) to call eagvFirstSection(EAGV.M1_pillars)
etc., then use the returned sec for
sec.pillars/sec.rows/sec.architectures/sec.protocols and for the find() logic in
the :id/:axis endpoints; ensure eagvFirstSection returns {} when input is falsy
or has no sections to preserve existing behavior and avoid direct indexing of
sections[0].
| // Crisis scenarios (GC1-GC7) | ||
| app.get('/api/ent-agi-gov-master/scenarios', (_, res) => { | ||
| const secs = (EAGV.M4_safety && EAGV.M4_safety.sections) || []; | ||
| const sec = secs.find(s => (s.id || '').toUpperCase() === 'M4-S2') || {}; | ||
| res.json(sec.scenarios || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/scenarios/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const secs = (EAGV.M4_safety && EAGV.M4_safety.sections) || []; | ||
| const sec = secs.find(s => (s.id || '').toUpperCase() === 'M4-S2') || {}; | ||
| const sc = (sec.scenarios || []).find(x => (x.id || '').toUpperCase() === u); | ||
| if (!sc) return res.status(404).json({ error: 'scenario not found', id: req.params.id }); | ||
| res.json(sc); | ||
| }); | ||
|
|
||
| // Civilizational artefacts | ||
| app.get('/api/ent-agi-gov-master/civilizational', (_, res) => { | ||
| res.json((EAGV.M5_civilizational && EAGV.M5_civilizational.sections) || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/civilizational/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const secs = (EAGV.M5_civilizational && EAGV.M5_civilizational.sections) || []; | ||
| const s = secs.find(x => (x.id || '').toUpperCase() === u); | ||
| if (!s) return res.status(404).json({ error: 'civilizational section not found', id: req.params.id }); | ||
| res.json(s); | ||
| }); | ||
|
|
||
| // Financial services MRM | ||
| app.get('/api/ent-agi-gov-master/financial-mrm', (_, res) => { | ||
| const sec = (EAGV.M6_financialMrm && EAGV.M6_financialMrm.sections[0]) || {}; | ||
| res.json(sec.domains || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/financial-mrm/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const sec = (EAGV.M6_financialMrm && EAGV.M6_financialMrm.sections[0]) || {}; | ||
| const d = (sec.domains || []).find(x => (x.id || '').toUpperCase() === u); | ||
| if (!d) return res.status(404).json({ error: 'financial-mrm domain not found', id: req.params.id }); | ||
| res.json(d); | ||
| }); | ||
|
|
||
| // Kafka GaC artefacts (sections under M7) | ||
| app.get('/api/ent-agi-gov-master/kafka-gac', (_, res) => { | ||
| res.json((EAGV.M7_kafkaGac && EAGV.M7_kafkaGac.sections) || []); | ||
| }); | ||
| app.get('/api/ent-agi-gov-master/kafka-gac/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const secs = (EAGV.M7_kafkaGac && EAGV.M7_kafkaGac.sections) || []; | ||
| const s = secs.find(x => (x.id || '').toUpperCase() === u); | ||
| if (!s) return res.status(404).json({ error: 'kafka-gac section not found', id: req.params.id }); | ||
| res.json(s); | ||
| }); |
There was a problem hiding this comment.
Financial-MRM routes (lines 21422, 21427) use the unsafe pattern while adjacent routes use the safe pattern.
The scenarios and Kafka GaC routes correctly use (module.sections) || [] before .find(), but financial-MRM reverts to the vulnerable sections[0] access. Apply consistent safe access patterns.
🤖 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 21393 - 21443, The
Financial-MRM routes (handlers for '/api/ent-agi-gov-master/financial-mrm' and
'/api/ent-agi-gov-master/financial-mrm/:id') access
EAGV.M6_financialMrm.sections[0] directly which can throw if sections is
undefined; change both to use a safe-access pattern like: const sec =
((EAGV.M6_financialMrm && EAGV.M6_financialMrm.sections) || [])[0] || {}; and
then use (sec.domains || []) before .find(), mirroring the safe patterns used in
the scenarios and kafka-gac handlers.
| function wfapgFindModule(mid) { | ||
| const u = String(mid || '').toUpperCase(); | ||
| for (const k of WFAPG_MODULE_KEYS) { | ||
| const m = WFAPG[k]; | ||
| if (m && (m.id || '').toUpperCase() === u) return m; | ||
| } | ||
| if (WFAPG[mid]) return WFAPG[mid]; | ||
| return null; | ||
| } |
There was a problem hiding this comment.
Same module-lookup fallback issue in wfapgFindModule.
Line 21531 if (WFAPG[mid]) return WFAPG[mid]; allows non-module properties to leak, identical to the eagvFindModule issue. Apply the same fix.
Proposed fix
function wfapgFindModule(mid) {
const u = String(mid || '').toUpperCase();
for (const k of WFAPG_MODULE_KEYS) {
const m = WFAPG[k];
if (m && (m.id || '').toUpperCase() === u) return m;
+ if (k.toUpperCase() === u) return m;
}
- if (WFAPG[mid]) return WFAPG[mid];
return null;
}🤖 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 21525 - 21533, The fallback in
wfapgFindModule currently returns WFAPG[mid] without validating it, which can
expose non-module properties; update the fallback to only return WFAPG[mid] when
it is a valid module object (e.g., has an id string or other module shape) —
modify wfapgFindModule to validate WFAPG[mid] (check WFAPG[mid] && typeof
WFAPG[mid].id === 'string') before returning, keeping the primary lookup over
WFAPG_MODULE_KEYS and the existing behavior otherwise returning null.
| architecturePlanes: ((WFAPG.M1_architecture && WFAPG.M1_architecture.sections[0] && WFAPG.M1_architecture.sections[0].planes) || []).length, | ||
| dataModels: ((WFAPG.M2_dataModels && WFAPG.M2_dataModels.sections[0] && WFAPG.M2_dataModels.sections[0].entities) || []).length, | ||
| dataFlows: ((WFAPG.M3_dataFlows && WFAPG.M3_dataFlows.sections[0] && WFAPG.M3_dataFlows.sections[0].flows) || []).length, |
There was a problem hiding this comment.
WFAPG summary has same unguarded sections[0] pattern.
Apply a similar helper function (e.g., wfapgFirstSection) for consistency with the EAGV fix.
🤖 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 21559 - 21561, The three
properties (architecturePlanes, dataModels, dataFlows) use the same unguarded
sections[0] pattern; create/ reuse a helper wfapgFirstSection(source) (modeled
after the EAGV fix) that safely returns source.sections?.[0] or null, then
replace the current expressions with guarded forms using that helper (e.g.,
(wfapgFirstSection(WFAPG.M1_architecture)?.planes || []).length,
(wfapgFirstSection(WFAPG.M2_dataModels)?.entities || []).length,
(wfapgFirstSection(WFAPG.M3_dataFlows)?.flows || []).length) so accessing
planes/entities/flows is null-safe and consistent with the EAGV approach.
| // Architecture | ||
| app.get('/api/wfap-gemini/architecture', (_, res) => res.json(WFAPG.M1_architecture || {})); | ||
| app.get('/api/wfap-gemini/architecture/planes', (_, res) => { | ||
| const sec = (WFAPG.M1_architecture && WFAPG.M1_architecture.sections[0]) || {}; | ||
| res.json(sec.planes || []); | ||
| }); | ||
| app.get('/api/wfap-gemini/architecture/topology', (_, res) => { | ||
| const sec = (WFAPG.M1_architecture && WFAPG.M1_architecture.sections[1]) || {}; | ||
| res.json(sec || {}); | ||
| }); | ||
| app.get('/api/wfap-gemini/architecture/tenancy', (_, res) => { | ||
| const sec = (WFAPG.M1_architecture && WFAPG.M1_architecture.sections[2]) || {}; | ||
| res.json(sec || {}); | ||
| }); | ||
|
|
||
| // Data models | ||
| app.get('/api/wfap-gemini/data-models', (_, res) => { | ||
| const sec = (WFAPG.M2_dataModels && WFAPG.M2_dataModels.sections[0]) || {}; | ||
| res.json(sec.entities || []); | ||
| }); | ||
| app.get('/api/wfap-gemini/data-models/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const sec = (WFAPG.M2_dataModels && WFAPG.M2_dataModels.sections[0]) || {}; | ||
| const e = (sec.entities || []).find(x => (x.id || '').toUpperCase() === u); | ||
| if (!e) return res.status(404).json({ error: 'data model not found', id: req.params.id }); | ||
| res.json(e); | ||
| }); | ||
|
|
||
| // Data flows | ||
| app.get('/api/wfap-gemini/data-flows', (_, res) => { | ||
| const sec = (WFAPG.M3_dataFlows && WFAPG.M3_dataFlows.sections[0]) || {}; | ||
| res.json(sec.flows || []); | ||
| }); | ||
| app.get('/api/wfap-gemini/data-flows/:id', (req, res) => { | ||
| const u = req.params.id.toUpperCase(); | ||
| const sec = (WFAPG.M3_dataFlows && WFAPG.M3_dataFlows.sections[0]) || {}; | ||
| const f = (sec.flows || []).find(x => (x.id || '').toUpperCase() === u); | ||
| if (!f) return res.status(404).json({ error: 'data flow not found', id: req.params.id }); | ||
| res.json(f); | ||
| }); |
There was a problem hiding this comment.
Architecture, data-models, and data-flows routes use unsafe direct section indexing.
Lines 21601, 21605, 21609, 21615, 21620, 21628, 21633 access sections[0], sections[1], sections[2] without guarding. Consider using a helper like wfapgGetSection(module, index) that safely returns {} if the section doesn't exist.
Proposed helper
const wfapgGetSection = (module, index) =>
Array.isArray(module?.sections) && module.sections.length > index
? module.sections[index]
: {};🤖 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 21598 - 21637, The routes for
architecture, data-models and data-flows currently index WFAPG modules' sections
directly (e.g., WFAPG.M1_architecture.sections[0],
WFAPG.M1_architecture.sections[1], WFAPG.M1_architecture.sections[2],
WFAPG.M2_dataModels.sections[0], WFAPG.M3_dataFlows.sections[0]) which can throw
when sections is missing; add a small helper function wfapgGetSection(module,
index) that returns {} when module?.sections is not an array or index is out of
range, and replace direct accesses in the handlers (the GET handlers for
/api/wfap-gemini/architecture, /architecture/planes, /architecture/topology,
/architecture/tenancy, /api/wfap-gemini/data-models,
/api/wfap-gemini/data-models/:id, /api/wfap-gemini/data-flows,
/api/wfap-gemini/data-flows/:id) to call
wfapgGetSection(WFAPG.M1_architecture,0) etc., then use the returned safe object
(sec) as before.
Summary
Institutional-grade, regulator-ready master framework unifying enterprise AI, agentic-AI, AGI/ASI containment, and civilizational compute oversight for Fortune 500, Global 2000, and G-SIFIs across 2026-2030 (with 2030-2050 frontier outlook).
Deliverables (
rag-agentic-dashboard/)data/ent-agi-gov-master.json(61 KB) — 8 modules, 30 sections, 6 schemas, 10 code examples, 6 case studies, 56 planned API routesgen-ent-agi-gov-master.py(61 KB) — idempotent JSON generatorgen-ent-agi-gov-master-html.py(15 KB) — HTML dashboard rendererpublic/ent-agi-gov-master.html(68 KB) — interactive single-page dashboard with sticky TOC, hero, KPI stripserver.js— wires/api/ent-agi-gov-master/*endpoint familyEight Modules (M1-M8)
<title>/<abstract>/<content>templatesStandards Alignment
EU AI Act Art. 6/9/10/12/13/14/15/53/55 + Annex III/IV; NIST AI RMF 1.0 + GenAI Profile; ISO/IEC 42001:2023; ISO/IEC 23894/5338; ISO/IEC 27001/27701; OECD AI Principles; GDPR Art. 5/6/9/22/25/32/35; FCRA §604/615; ECOA Reg B §1002.4/.6; Basel III/IV CRR3/CRD6 ICAAP Pillar 2; SR 11-7 / OCC 2011-12; PRA SS1/23; FCA Consumer Duty; MAS FEAT; HKMA HLP; EO 14110 §4.2; OMB M-24-10; Council of Europe AI Convention; SEC 17a-4(f); SLSA L3; Sigstore/Rekor; Cosign; OWASP LLM Top 10; MITRE ATLAS.
Headline KPIs
Validation
node -c server.js→ SYNTAX OKrag-dashclean restartAudience
Board of Directors / Risk & Audit Committees · C-Suite (CEO, CFO, CRO, CISO, CAIO, CTO, GC, COO) · Group Heads of Model Risk, Enterprise Risk, Compliance · Prudential & conduct supervisors (PRA, FCA, OCC, Fed, ECB, MAS, HKMA, BaFin, FINMA) · DPAs (ICO, CNIL, EDPB), CFPB · EU AI Act notified bodies, ISO/IEC 42001 certifiers · Internal & external auditors, treaty-authority observers · Enterprise architects, AI platform engineers, researchers.
Summary by CodeRabbit
New Features
Documentation