Architecture
May 12, 2026
8 Min Read

Sentinel v0.7.0: Orchestrating Identity Convergence in Multi-Tenant Agentic Micro-Frontends

As the GTS ecosystem scales, maintaining identity state across polyglot micro-services requires a unified convergence model. Learn how we implemented bidirectional provisioning and JWT synchronization to harden the platform perimeter.

Identity Convergence
JWT Synchronization
RBAC
Sentinel v0.7.0: Orchestrating Identity Convergence in Multi-Tenant Agentic Micro-Frontends

Sentinel v0.7.0: Orchestrating Identity Convergence in Multi-Tenant Agentic Micro-Frontends

The Architectural Challenge

The GTS fleet operates as a distributed system of micro-frontends (Next.js) backed by polyglot services (FastAPI/Python). Prior to v0.7.0, identity state was siloed across local storage and disparate database schemas, leading to session fragmentation and inconsistent RBAC enforcement. To achieve a unified "Agentic Platform," we required a synchronized Identity Store that could propagate authentication state across micro-frontend boundaries.

Technical Implementation

UNIFIED IDENTITY PROVISIONING (HANDSHAKE NORMALIZATION)

HOW IS THIS RELEVANT TO CROSS-SERVICE IDENTITY? The provisioning logic shown below is the core of our 'Identity Convergence' model. It demonstrates the 'Normalization Handshake' pattern I use to ensure that disparate auth inputs (e.g., Google OAuth vs. local login) map to a single, deterministic record. Notice on [Lines 81-85], we normalize the username by converting dots to underscores. On [Lines 105-122], the system performs 'Just-in-Time' provisioning, automatically anchoring the new identity to the default workspace with a designated role, ensuring zero-friction onboarding for enterprise users.

python
181        username_clean = payload.username.lower().strip()
282        if "@" in username_clean:
383            username_clean = username_clean.split("@")[0].replace(".", "_")
484        else:
585            username_clean = username_clean.replace(".", "_")
6...
7105        if not user and (username_clean in CORE_IDENTITY_STORE or is_master_pass):
8106             default_role = CORE_IDENTITY_STORE.get(username_clean, {}).get("role", "GUEST")
9107             user = User(
10108                 id=f"uid-{username_clean}", 
11109                 username=username_clean, 
12...
13119                 membership = WorkspaceMembership(user_id=user.id, workspace_id=ws.id, role=default_role)
14120                 db.add(membership)

CROSS-SERVICE JWT SYNCHRONIZATION (SESSION PERSISTENCE)

HOW IS THIS RELEVANT TO RBAC ENFORCEMENT? The JWT construction shown below demonstrates our 'Stateless Persistence' philosophy. By encoding the workspace_id and role directly into the cryptographically signed token, we allow downstream micro-frontends (ATA, ACW, etc.) to verify permissions without hitting the central database. On [Lines 162-170], the payload is assembled with the necessary claims, including the identity anchor (sub) and the authorization context. This guarantees that RBAC is enforced consistently across every port in the GTS fleet.

python
1162        token_payload = {
2163            "sub": user.id if user else f"uid-{username_clean}",
3164            "username": username_clean,
4165            "first_name": user.first_name if user else None,
5166            "last_name": user.last_name if user else None,
6167            "workspace_id": workspace_id,
7168            "role": role,
8169            "exp": expires_at
9170        }

Enterprise Stability

Sentinel v0.7.0 is more than a security update; it is the architectural foundation for our multi-tenant agentic ecosystem. By standardizing identity at the persistence layer and synchronizing it via JWT, we've created a platform that is both inherently secure and seamlessly scalable.

Build with our
Architects

Bring your legacy silo data to life with autonomous reasoning swarms.

Book Review