Challenge
AI agents need to retrieve information from business systems and take useful actions. Direct model-to-system connections make permissions, auditing, and failure recovery difficult to reason about as the number of integrations grows.
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Illustrative case 01 · MCP & tool infrastructure
Secure Agent Gateway
A governed tool gateway for enterprise agents that need controlled access to internal systems, explicit authorization, and evidence for every consequential action.
Executive summary
Make the hard parts visible before the system scales.
This illustrative case is structured like a production engagement: define the problem, make constraints explicit, show the system boundary, and state exactly what evidence is and is not available.
System delivered
A policy-aware gateway separates agent intent from enterprise execution. Tools are registered with typed contracts, checked against the caller and tenant context, traced, and routed through explicit approval policies before execution.
Constraints
The design must support tenant-aware permissions, read and write tools, provider failures, bounded retries, secret isolation, and human review for high-impact actions without making every workflow synchronous.
Outcome & evidence
Evidence position: illustrative architecture work showing how a team can move from direct agent integrations to a governed tool boundary. No client-specific deployment, performance, adoption, or security certification claim is made.
Delivery approach
From the operating constraint to a reviewable system.
Map the action boundary
Identify users, tenants, systems of record, read operations, write operations, and the actions that require human authorization.
Define the tool contract
Specify narrow tool capabilities, schemas, policy inputs, safe failures, retry limits, and the evidence each call must produce.
Design the gateway
Separate model reasoning from system execution through identity resolution, policy checks, typed adapters, and traceable state transitions.
Validate operation
Exercise authorization failures, malformed arguments, timeouts, duplicate requests, rejected approvals, and recovery paths before release.
Architecture & operating model
Built as a system, not a screenshot.
The agent runtime sends a structured intent to the gateway. The gateway resolves identity and tenant scope, evaluates policy, validates the tool arguments, invokes a narrow adapter, and emits trace and audit events. The systems of record remain behind the gateway rather than becoming implicit model capabilities.
Security and governance
OIDC identity, least-privilege tool access, tenant-aware policy checks, server-side secret handling, schema validation, rate limits, redaction-aware logs, and explicit approval for state-changing actions.
Technology direction
TypeScript · FastAPI · PostgreSQL · OIDC · OpenTelemetry
DeepVention delivery scope
Workflow mapping · gateway architecture · tool registry · policy model · operator console · integration contracts
Engineering decisions
Why the system is shaped this way.
These are illustrative design decisions for the stated brief. Each one makes a tradeoff explicit so the architecture can be reviewed before implementation.
Decision
Gateway before systems of record
Why: Centralizes authorization, validation, tracing, and failure handling at one integration boundary
Tradeoff: Adds an operational component that must be highly available and carefully versioned
Decision
Typed tools instead of unrestricted endpoints
Why: Makes available actions and input contracts reviewable by application code and operators
Tradeoff: Requires an explicit adapter for each supported business capability
Decision
Separate approval from execution
Why: Gives reviewers a durable, auditable decision before high-impact state changes
Tradeoff: Adds workflow state and requires idempotent execution
Next conversation
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