The Three Non-Negotiables
1
Structural Isolation
Data-plane enforced. tenant_id as mandatory predicate BEFORE ranking. IsolationBreach exception on mismatch. Never delegated to the model.
2
Deterministic Replay
Every run captures model version, policy version, prefix hash, artifact IDs, tool contracts, token counts. Trace envelopes are the unit of evaluation.
3
Economic Predictability
4 cost surfaces per run: Inference + Retrieval + Tooling + Persistence. Layer-based token budgets. Progressive disclosure over context dumps.
External Entry Point
ChatGPT Integration
💬
Custom GPT (ChatGPT)
OpenAPI Actions • OAuth 2.0 + PKCE • Entra ID callback
User invokes action → Entra ID auth → Bearer token → APIM
🔒
OAuth 2.0 Flow
Auth Code + PKCE
MFA + Conditional Access
SSO via Entra ID
🌐
API Endpoints
/api/v1/query • /api/v1/agents/{group}/{id}
/api/v1/health • /api/v1/traces/{runId}
▼ ▼ ▼
HTTPS + Bearer Token (JWT)
API Gateway & Identity
Gateway & Identity Layer
🛡
Azure API Management
Rate limiting • JWT validation • IdentityEnvelope construction
OpenAI API proxy • Token governance • Content Safety scan
👤
Microsoft Entra ID
OAuth 2.0 provider • RBAC roles
Conditional Access • Managed Identities
🔑
IdentityEnvelope
tenant_id (tid) • user_id (oid)
roles • privacy_mode • policy_version
▼ ▼ ▼
IdentityEnvelope + Scoped Request → Context Engine Loop
Context Engine Loop (10-Step — Every Agent, Every Run)
Context Engine Loop
Layer-Based Token Budget (4,000 tokens total):
Global 500
Tenant 800
User 600
Retrieved 1,200
Session 900
▼ ▼ ▼
Orchestrator dispatches to Agent Groups
100 AI Agents — 10 Deployment Groups (A1–A10)
Compute: Agent Groups (Generic Deployment Units)
Each group: dedicated Container Apps Env • dedicated Managed Identity • independent scaling • blue-green deployable • function assigned post-deploy
A1
10 Agents
AGT-001–010
cae-agents-a1
A2
10 Agents
AGT-011–020
cae-agents-a2
A3
10 Agents
AGT-021–030
cae-agents-a3
A4
10 Agents
AGT-031–040
cae-agents-a4
A5
10 Agents
AGT-041–050
cae-agents-a5
A6
10 Agents
AGT-051–060
cae-agents-a6
A7
10 Agents
AGT-061–070
cae-agents-a7
A8
10 Agents
AGT-071–080
cae-agents-a8
A9
10 Agents
AGT-081–090
cae-agents-a9
A10
10 Agents
AGT-091–100
cae-agents-a10
🔄 Patterns: Sequential • Concurrent Fan-Out • Handoff • Group Chat
⚙ Scoped Delegation • Isolated Context • Typed Summaries • parent_run_id Lineage
▼ ▲ ▼ ▲ ▼ ▲
Read / Write ↔ Canonical Truth + Derived Acceleration
Data Architecture: Truth vs Acceleration
Canonical Truth (Source of Record)
💾 Cosmos DB: Canonical Event Log
Container: audit-log • Partition: /runId • Append-only
Every run: context, policies, tool calls, promotions, outputs
Replicated to Blob Storage with legal hold
📊 Cosmos DB: Structured Memory
Container: structured-memory • Partition: /tenantId
Scoped • Typed • Provenance • Retention • Sensitivity
States: provisional → active | quarantined | revoked
⚙ Cosmos DB: Agent Config
Container: agent-config • Partition: /groupId
Runtime config for AGT-001 through AGT-100
📁 Azure Blob Storage
objects/ — SHA-256 content-addressed, tenant-scoped
legal-hold/ — Immutable event log replica
Derived Acceleration (Rebuildable)
🔍 Azure AI Search (Hybrid)
DiskANN vector + BM25 lexical • Fully rebuildable
Mandatory predicates: tenant_id, scope, expiration
Filters BEFORE ranking — never post-filter
⚡ Hardening Pipeline
Container Apps scale-to-zero workers
Validate → Enrich → Embed → Update indexes
provisional → active (or quarantined)
📈 OpenAI GPT-5.2 API
Responses API via APIM proxy
Thinking: reasoning medium/high • No-reasoning: effort=none
text-embedding-3-large (3072 dims)
💰 Prompt Cache
Static prefix: constitution + tenant policy
prefix_hash = SHA-256 • 24h cache, 90% discount
Memory Architecture: Scoped & Typed
Memory Scopes (Security Boundaries)
GLOBAL — Immutable, Write-Locked
Safety rules, tool contracts, constitution • Versioned artifact bundles
TENANT — Gated Promotion (Human Approval)
Org policies, playbooks, knowledge bases • Policy-based retention
USER — Gated Promotion, TTL + User Controls
Preferences, working style, notes • User-deletable
SESSION — Volatile, Aggressive Auto-GC
Tool outputs, scratch buffers • Hours–days TTL • Never overrides durable memory
Memory Types (Semantic Roles)
POLICY
Normative rules • Versioned, signed, NEVER agent-writable
PREFERENCE
Stable personalization • TTL-based, user-deletable
FACT
Durable assertions • Must include provenance and source
EPISODIC
Structured summaries • What happened, NOT what to always do
TRACE
Raw append-only execution events • Immutable flight recorder
⚠ DANGER: Episodic/Fact drifting into Policy = Precedent Poisoning. Promotion gates enforce separation.
Security, Encryption & Network
Security & Encryption Layer
🔐
Azure Key Vault
Per-tenant KEKs • Rotating DEKs
OpenAI API key • Cert mgmt
🛡
Content Safety
Prompt Shields • PII Detection
Jailbreak scanning • Task adherence
🌐
VNet Isolation
snet-apim (10.0.1.0/24)
snet-compute (10.0.2.0/24)
snet-pe (10.0.4.0/24) • Private endpoints
🔏
Envelope Encryption
Canonical: tenant KEK+DEK
Object Store: tenant-scoped
Cache: short-lived keys
🚫
Isolation Enforcement
tenant_id mandatory predicate
IsolationBreach exception
Privacy routing (no-retention)
AI Autonomous Health Monitoring System
Health Sentinel (Meta-Agent — Monitors All 100 Agents)
Dedicated hardened partition • Outside A1–A10 groups • Elevated RBAC • Autonomous operation
📡 Health Collector
30s polling • /healthz + /readyz
OpenTelemetry metrics • Trace stats
Container Apps platform metrics
🧠 Diagnostics Engine
GPT-5.2 reasoning=high
Root-cause analysis
Cross-group correlation
🔧 Remediation Orchestrator
12 playbooks (PB-001–012)
Restart, scale, rotate, rebuild
Blast radius scoped
📝 GitHub Integration Agent
Auto-create Issues • Full lifecycle mgmt • Labels: severity, group, type, status
Trace envelope links • Reopen on recurrence • Monthly reports
📊 Governance Reporter
Periodic health reports • SLA adherence • Compliance dashboards
MTTD/MTTR • Playbook effectiveness • Cost impact
5-Level Health Data Collection:
L1
Infrastructure
CPU/Memory • Restarts
Network latency
Cosmos RU • Search
L2
Agent Runtime
Request rate
p50/p95/p99
Loop step durations
L3
Context Health
Budget utilization
Retrieval hit rates
Promotion ratios
L4
Cost Health
Per-run breakdown
Token drift trends
Cost per group
L5
Security Health
IsolationBreach=0
Auth failures
Key rotation
Health Score (0–100, computed every 60s per agent):
90–100: HEALTHY
70–89: DEGRADED
50–69: UNHEALTHY (auto-remediate)
0–49: CRITICAL (immediate + escalate)
AI Self-Healing Architecture
Closed-Loop Self-Healing Control
→
→
→
🔧
REMEDIATE
Execute actions
→
→
→
12 Automated Remediation Playbooks:
PB-004
Isolation Emergency
Escalation Matrix:
SEV-1: CriticalIsolation breach, data exposure • Immediate page + quarantine
SEV-2: HighMulti-agent down • Auto-remediate, escalate @ 3 fails
SEV-3: MediumSingle agent degraded • Auto-remediate + tracking Issue
SEV-4: LowMinor drift, config warning • Log + GitHub Issue
GitHub Issues Integration & Remediation Tracking
GitHub Ops (enterprise-ai-agents-ops)
Issue Labels:
severity/p1-critical
severity/p2-high
severity/p3-medium
severity/p4-low
type/auto-remediation
type/security-incident
type/cost-anomaly
type/isolation-breach
status/detecting
status/diagnosing
status/remediating
status/resolved
group/a1
group/a2
...
group/a10
Issue Lifecycle:
1. OPEN — Anomaly detected, labels applied
2. DIAGNOSING — Root-cause analysis appended
3. REMEDIATING — Playbook + action progress
4. VERIFICATION — Post-remediation health check
5. RESOLVED — Closed with outcome summary
6. REOPENED — Recurrence within 24h
7. ESCALATED — Auto-remediation failed
Milestones: Weekly Health • Monthly Governance • Quarterly Security
Observability & Trace Envelopes
Observability Layer
📊
Azure Monitor + App Insights
OpenTelemetry distributed tracing
50 GB/day • KQL analysis
📨
Trace Envelopes
identity • model_ver • policy_ver • prefix_hash
artifact_IDs • promotions • tokens • cost • lineage
⚡
Event Hub
Real-time alerting
Hardening pipeline trigger
Health event streaming
💰
4 Cost Surfaces
C = Inference + Retrieval
+ Tooling + Persistence
Per-run via traces
Azure DevOps — CI/CD Orchestrated Deployment
Deployment Pipeline Architecture
All infrastructure is IaC (Bicep modules) • Azure DevOps multi-stage YAML pipelines • Parallel jobs deploy all 10 groups simultaneously
🚀
Pipeline: infra-foundation
VNet, Key Vault, Cosmos DB, AI Search
Event Hub, APIM, Entra App Regs
~25 min (single run)
⚙
Pipeline: agent-groups-deploy
10 parallel stages (A1–A10 simultaneous)
Each: Container App Env + 10 agent revisions
~12 min (all 100 agents)
🧠
Pipeline: platform-services
Health Sentinel + Self-Healing + GitHub Ops
Context Engine + Hardening Pipeline
~15 min (parallel with agents)
🔍
Pipeline: validate-and-promote
Smoke tests • Health checks • Isolation tests
Security scan • Blue-green traffic shift
~20 min (gate before GA)
D0
Hour 0–1
IaC Foundation
VNet + Cosmos + KV
APIM + Entra ID
D0
Hour 1–2
All 100 Agents
A1–A10 parallel deploy
Health Sentinel online
D0
Hour 2–3
Validation Gate
Smoke + isolation tests
Self-healing verified
D1–D3
Days 1–3
Shadow Mode
Live traffic mirrored
Chaos + load testing
GA
Day 3–5
Blue-green cutover
100 agents live
Hypercare monitoring
⚡ Total deployment: ~3 hours to fully provisioned (infra + 100 agents + health sentinel + self-healing + ChatGPT integration)
🛡 Total to GA: ~5 days (includes shadow mode validation, chaos testing, security scan, and blue-green cutover)
Pipeline spec: Azure DevOps multi-stage YAML • 10 parallel agent-group stages • Bicep what-if + deployment • Post-deploy gates (health score ≥ 90 required) • Automated rollback on gate failure
MIT License
Copyright © 2026 AlphaOne LLC
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