feat(PROMPT-MGMT-ARCH-WP-043) v1.0.0 — Prompt Management & Reporting App End-to-End Technical & Governance Architecture (2026-2030)#78
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…App End-to-End Technical & Governance Architecture (2026-2030) Adds the WP-043 reference for an AI prompt management & reporting application that unifies advanced prompt engineering, AI safety governance, collaborative refinement, variable linking, accessibility/onboarding, model registry binding, RBAC for model operations, secure API key management, enhanced WORM audit logging, distributed tracing for agent swarms, AI personas, prompt version control, history & testing, template search, login UX improvements, Markdown→HTML rendering with Tailwind, code syntax highlighting, signed PDF export, and Firestore-backed report versioning. Builds on WP-035..WP-042 lineage. Layered reference architecture (L0..L6): identity & tenancy → edge → app API → model gateway → governance plane → data plane → observability. Policy-as-code (OPA/Rego) with two-eyes/SoD; CRDT (Yjs) co-editing; KMS-broker secret management with FIPS 140-3 root; hash-chained Decision Envelopes anchored daily to Sentinel ICGC ledger; OpenTelemetry GenAI semantic conventions for agent-swarm tracing; WCAG 2.2 AA accessibility; passkey-first WebAuthn auth with step-up MFA. Aligned with EU AI Act 2026 (Arts 9/10/13/14/50/53/55), NIST AI RMF 1.0, ISO/IEC 42001/23894/27001/27701/5338, GDPR Arts 5/6/22/25/32/35, WCAG 2.2 AA, SOC 2 Type II, OWASP LLM Top 10 (2025), FIPS 140-3, OECD AI Principles. Counts: 14 modules, 59 sections, 12 schemas, 16 code examples, 6 case studies, 22 supervisory KPIs, 9 RBAC roles, 6 data flows, 8 threats, 10 traceability rows, 96 API routes (/api/prompt-mgmt-arch/*). Sample KPIs: decision-traceability ≥ 99.95%; PII leakage ≤ 0.01%; blocked-harm ≥ 99.5%; regression false-negative ≤ 0.5%; PDF export median ≤ 3s (p95 ≤ 8s); kill-switch ≤ 60s; MFA on sensitive scopes 100%; faithfulness on golden RAG set ≥ 0.92; onboarding completion ≥ 80%. Deliverables (in rag-agentic-dashboard/): - data/prompt-mgmt-arch.json (70.6 KB) - gen-prompt-mgmt-arch.py - gen-prompt-mgmt-arch-html.py - public/prompt-mgmt-arch.html (70.1 KB SPA dashboard, 71,761 bytes served) - server.js: 28 new /api/prompt-mgmt-arch/* route registrations Validation: node -c server.js OK; PM2 rag-dash online; HTTP 200 on all module roots (M1..M14), executive-summary, summary, counts, regimes, personas, privacy, traceability, deployment, modules, kpis, rbac-roles, data-flows, threats, schemas, code-examples, case-studies, plus all sampled lookups (sections/M1-S1, personas/PERSONA-PE, kpis/KPI-01, rbac-roles/ROLE-01, data-flows/DF-01, threats/TH-01, schemas/promptTemplate, code-examples/CE-01, case-studies/CS-01); 10 negative-path checks return 404; dashboard HTML 71,761 bytes. Owner: VP Product + CAIO; co-signed by CISO, DPO, Head of Platform Engineering, Head of Internal Audit, AI Safety Lead. Classification: CONFIDENTIAL — Product / CAIO / CISO / DPO / Head of Engineering / Internal Audit.
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📝 WalkthroughWalkthroughThis PR introduces a comprehensive Prompt Management & Reporting Application architecture specification as a versioned JSON document, along with programmatic generation and delivery mechanisms. The change includes a 14-module governance and security architecture, a JSON generator script, an HTML dashboard renderer, a static HTML specification page, and Express REST API routes exposing the data. ChangesPrompt Management Architecture Specification & Delivery
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Actionable comments posted: 7
🧹 Nitpick comments (1)
rag-agentic-dashboard/data/prompt-mgmt-arch.json (1)
83-83: 💤 Low value
"apiRoutes": 96is a hardcoded magic number with no derivationAll other
countsentries (modules, sections, schemas, etc.) are computed ingen-prompt-mgmt-arch.pyvialen()calls and will stay accurate as the document evolves. TheapiRoutescount is hardcoded to96with no automated verification, so it will silently drift once routes are added or removed inserver.js. Consider either computing it from the server route definitions or at minimum adding a comment in the generator flagging this as a manually maintained value.🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@rag-agentic-dashboard/data/prompt-mgmt-arch.json` at line 83, The "apiRoutes": 96 entry is a hardcoded magic number; update the generator gen-prompt-mgmt-arch.py to compute apiRoutes dynamically by counting route definitions in the server (e.g., parse server.js route registrations or import the router list) and write that computed value into prompt-mgmt-arch.json instead of 96, or if you cannot automate it immediately add a clear generator-side comment in gen-prompt-mgmt-arch.py noting that "apiRoutes" is manually maintained and must be updated when server.js routes change; reference the "apiRoutes": 96 JSON key, gen-prompt-mgmt-arch.py, and server.js route definitions to locate where to implement the fix.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@rag-agentic-dashboard/data/prompt-mgmt-arch.json`:
- Around line 580-585: The OPA snippet in module promptmgmt.rbac (M7-S2) omits
the author_is_approver check, allowing authors to self-approve; update the
"allow" rule that handles input.action == "prompt.publish" to include "not
author_is_approver" and add or reference the author_is_approver predicate (as
defined in CE-03) so the module enforces the Segregation of Duties (author
cannot self-approve/self-publish).
In `@rag-agentic-dashboard/gen-prompt-mgmt-arch-html.py`:
- Line 253: The OUT.write_text(HTML) call uses Path.write_text without an
explicit encoding which can corrupt Unicode on non-UTF-8 platforms; change the
call so Path.write_text is invoked with encoding='utf-8' when writing the HTML
variable (i.e., pass the encoding argument to the OUT.write_text(...) call) to
ensure correct UTF-8 output that matches the <meta charset="utf-8"/>
declaration.
- Around line 87-101: The code builds HTML using direct dict subscripts
D["schemas"], D["codeExamples"], and D["caseStudies"], which can raise KeyError;
change those comprehensions to use D.get("schemas", []), D.get("codeExamples",
[]), and D.get("caseStudies", []) respectively so missing keys fall back to
empty lists; update the three variables schema_rows, code_html, and case_html
(they already use esc(...) and render_value(...)) to iterate over the safe
.get(...) results to avoid crashes when keys are absent.
In `@rag-agentic-dashboard/gen-prompt-mgmt-arch.py`:
- Around line 19-26: The DOC entry (DOC["docRef"] = "PROMPT-MGMT-ARCH-WP-043")
currently sets DOC["classification"] to a CONFIDENTIAL value while the generated
artifacts are published publicly; either change DOC["classification"] to an
appropriate public classification or remove/kill the sensitive content from the
public build and move the source artifacts to a private repo and gated storage.
Concretely: update the DOC dictionary to a non-confidential classification
string if you intend public publication, or stop exporting the sensitive
JSON/HTML in the site generator (remove generation of the prompt-mgmt-arch
artifact names and any inclusion hooks), move the original file(s) into a
private repo or secure artifact store, and scrub the public repo history (or
rotate secrets) so the confidential content is no longer reachable; make sure to
reference DOC and the docRef value in your commit message so reviewers can
verify the change.
- Line 562: The bindEditor function currently embeds the secret token into the
WebSocket URL (WebsocketProvider(`wss://...?token=${token}`, roomId, ydoc))
which will leak credentials to logs; change it to stop putting the token in the
URI and instead authenticate after the WebSocket handshake (first-message auth)
or via a same-domain cookie. Concretely: update bindEditor to construct the
WebsocketProvider without the token in the URL (pass only the host and roomId),
then once the provider/underlying socket is open send a single auth message
containing the token (or rely on a cookie) and handle the server's auth response
before completing any Y.Doc operations; adjust any uses/exports of ydoc, ytext,
and provider accordingly and apply the same change to the CE-10 snippet variants
referenced in the other artifacts.
- Line 559: The CE-07 example shows exportPdf (function name exportPdf)
launching Chromium with args:['--no-sandbox'], which contradicts the deployment
guidance; remove the --no-sandbox flag from the chromium.launch call and instead
add a concise comment/annotation in the CE-07 snippet explaining that the
browser must run inside a secured sandbox (seccomp/AppArmor profile or dedicated
container boundary) if the process isolates are not relied upon, and ensure the
same corrected snippet and annotation are applied wherever CE-07 appears (the
CE-07 JSON entry and the corresponding public HTML snippet) so implementers are
not encouraged to disable Chromium sandboxing.
In `@rag-agentic-dashboard/server.js`:
- Line 22877: The GET handler that returns PROMPTMGMT at
app.get('/api/prompt-mgmt-arch', ...) exposes the full confidential document;
either remove this root handler or protect the entire '/api/prompt-mgmt-arch'
namespace with auth. Fix by deleting the app.get('/api/prompt-mgmt-arch', (_req,
res) => res.json(PROMPTMGMT)) route or wrap the namespace with your
authentication middleware (e.g., apply authMiddleware to the router serving
'/api/prompt-mgmt-arch'), and ensure callers use the safe projected endpoints
like '/api/prompt-mgmt-arch/meta' or other specific sub-resources instead of the
root.
---
Nitpick comments:
In `@rag-agentic-dashboard/data/prompt-mgmt-arch.json`:
- Line 83: The "apiRoutes": 96 entry is a hardcoded magic number; update the
generator gen-prompt-mgmt-arch.py to compute apiRoutes dynamically by counting
route definitions in the server (e.g., parse server.js route registrations or
import the router list) and write that computed value into prompt-mgmt-arch.json
instead of 96, or if you cannot automate it immediately add a clear
generator-side comment in gen-prompt-mgmt-arch.py noting that "apiRoutes" is
manually maintained and must be updated when server.js routes change; reference
the "apiRoutes": 96 JSON key, gen-prompt-mgmt-arch.py, and server.js route
definitions to locate where to implement the fix.
🪄 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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Plan: Pro
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📒 Files selected for processing (5)
rag-agentic-dashboard/data/prompt-mgmt-arch.jsonrag-agentic-dashboard/gen-prompt-mgmt-arch-html.pyrag-agentic-dashboard/gen-prompt-mgmt-arch.pyrag-agentic-dashboard/public/prompt-mgmt-arch.htmlrag-agentic-dashboard/server.js
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WP-043 — Prompt Management & Reporting Application — End-to-End Technical & Governance Architecture
Doc Ref: PROMPT-MGMT-ARCH-WP-043 · v1.0.0 · Horizon 2026-2030
Classification: CONFIDENTIAL — Product / CAIO / CISO / DPO / Head of Engineering / Internal Audit
Owner: VP Product + CAIO; co-signed by CISO, DPO, Head of Platform Engineering, Head of Internal Audit, AI Safety Lead
Builds on: WP-035 → WP-036 → WP-037 → WP-038 → WP-039 → WP-040 → WP-041 → WP-042
Scope
End-to-end technical and governance architecture unifying advanced prompt engineering, AI safety governance, collaborative refinement, variable linking, accessibility/onboarding, model registry binding, RBAC for model operations, secure API key management, enhanced WORM audit logging, distributed tracing for agent swarms, AI personas, prompt version control, history & testing, template search, login UX, Markdown→HTML rendering with Tailwind, code syntax highlighting, signed PDF export, and Firestore-backed report versioning.
Modules (14)
Regulatory Alignment
EU AI Act 2026 (Arts 9, 10, 13, 14, 50, 53, 55), NIST AI RMF 1.0, ISO/IEC 42001 / 23894 / 27001 / 27701 / 5338, GDPR Arts 5 / 6 / 22 / 25 / 32 / 35, WCAG 2.2 AA, SOC 2 Type II, OWASP LLM Top 10 (2025), FIPS 140-3, OECD AI Principles, OpenTelemetry GenAI conventions.
Counts
14 modules · 59 sections · 12 schemas · 16 code examples · 6 case studies · 22 supervisory KPIs · 9 RBAC roles · 6 data flows · 8 threats (STRIDE + OWASP LLM) · 10 traceability rows · 96 API routes (
/api/prompt-mgmt-arch/*).Selected KPIs
Deliverables (rag-agentic-dashboard/)
data/prompt-mgmt-arch.json(70.6 KB)gen-prompt-mgmt-arch.pygen-prompt-mgmt-arch-html.pypublic/prompt-mgmt-arch.html(70.1 KB SPA, 71,761 bytes served)server.js: 28 new/api/prompt-mgmt-arch/*route registrationsValidation Evidence
node -c server.js⇒ syntax OKrag-dashonline (PID 2045850)/meta,/executive-summary,/summary,/counts,/regimes,/personas,/privacy,/traceability,/deployment, all module roots (M1..M14),/modules,/kpis,/rbac-roles,/data-flows,/threats,/schemas,/code-examples,/case-studies, plus lookups:/modules/M1,/sections/M1-S1,/personas/PERSONA-PE,/kpis/KPI-01,/rbac-roles/ROLE-01,/data-flows/DF-01,/threats/TH-01,/schemas/promptTemplate,/code-examples/CE-01,/case-studies/CS-01/modules/M99,/sections/BOGUS,/personas/PERSONA-X,/kpis/KPI-999,/rbac-roles/ROLE-X,/data-flows/DF-99,/threats/TH-99,/schemas/bogus,/code-examples/CE-99,/case-studies/CS-99/prompt-mgmt-arch.htmlLineage
WP-035 ENT-AGI-GOV-MASTER → WP-036 WFAP-GEMINI-IMPL → WP-037 GSIFI-AIMS-BLUEPRINT → WP-038 AGI-REG-RESILIENT → WP-039 INST-AGI-MASTER → WP-040 ENT-AGI-REF-IMPL → WP-041 TIER13-FULLSTACK → WP-042 SENTINEL-V24-DEEPDIVE → WP-043 PROMPT-MGMT-ARCH.
Summary by CodeRabbit
Release Notes