Full Stack Pattern
The Full Stack pattern (Identity + RPC + Policy) represents the most comprehensive security implementation. This pattern is ideal for complex systems where multiple AI agents need to collaborate while adhering to strict policies.
Use Case: Autonomous Supply Chain Network
This pattern demonstrates a fully secured network of AI agents that:
- Autonomously manage global supply chain operations
- Coordinate across multiple organizations
- Enforce complex business rules and compliance
- Maintain secure, verifiable transactions
- Optimize operations in real-time
// Procurement Agent
const procurementAgent = await secureConnect(
new LangChain.Agent({
name: "procurement_agent",
llm: new OpenAI({ temperature: 0 }),
tools: [supplierTool, inventoryTool, forecastTool]
}),
{
spiffe: {
trustDomain: "supply.chain.org"
},
policy: {
initialPolicy: procurementPolicy // Includes spend limits, supplier requirements
},
rpc: {
endpoint: "https://procurement-agent"
}
}
);
// Logistics Agent
const logisticsAgent = await secureConnect(
new LangChain.Agent({
name: "logistics_agent",
llm: new OpenAI({ temperature: 0 }),
tools: [routingTool, shipmentTool, trackingTool]
}),
{
spiffe: {
trustDomain: "supply.chain.org"
},
policy: {
initialPolicy: logisticsPolicy // Includes routing rules, customs compliance
},
rpc: {
endpoint: "https://logistics-agent"
}
}
);
// Inventory Agent
const inventoryAgent = await secureConnect(
new LangChain.Agent({
name: "inventory_agent",
llm: new OpenAI({ temperature: 0 }),
tools: [warehouseTool, stockTool, demandTool]
}),
{
spiffe: {
trustDomain: "supply.chain.org"
},
policy: {
initialPolicy: inventoryPolicy // Includes stock levels, storage rules
},
rpc: {
endpoint: "https://inventory-agent"
}
}
);
// Example of autonomous supply chain orchestration
async function optimizeSupplyChain(demand) {
try {
// 1. Inventory Check & Demand Analysis
const inventoryStatus = await inventoryAgent.analyzeStock({
demand: demand,
forecast: await getForecast(demand.region)
});
// 2. Procurement Planning with Policy Checks
const procurementPlan = await procurementAgent.secureCall(
"inventory_agent",
"create_procurement_plan",
{
inventory: inventoryStatus,
suppliers: await getQualifiedSuppliers(demand.region),
metadata: {
inventory_agent: await inventoryAgent.getIdentity(),
timestamp: new Date()
}
}
);
// 3. Logistics Coordination
const logisticsPlan = await logisticsAgent.secureCall(
"procurement_agent",
"plan_logistics",
{
procurement: procurementPlan,
constraints: {
time: demand.deadline,
cost: demand.budget,
regulations: await getRegulations(demand.route)
},
metadata: {
procurement_agent: await procurementAgent.getIdentity(),
timestamp: new Date()
}
}
);
return {
plan: {
procurement: procurementPlan,
logistics: logisticsPlan,
inventory: inventoryStatus
},
metrics: {
cost_reduction: calculateSavings(procurementPlan),
time_optimization: calculateTimeImprovement(logisticsPlan),
risk_mitigation: assessRisk(procurementPlan, logisticsPlan)
},
compliance: {
regulations: verifyCompliance(logisticsPlan),
policies: validatePolicies(procurementPlan)
},
audit: {
agents: {
procurement: await procurementAgent.getIdentity(),
logistics: await logisticsAgent.getIdentity(),
inventory: await inventoryAgent.getIdentity()
},
timestamps: {
start: new Date(),
completion: new Date()
}
}
};
} catch (error) {
console.error("Supply chain optimization failed:", error.message);
throw error;
}
}
Real-World Applications
-
Global Manufacturing
- Autonomous supplier management
- Real-time logistics optimization
- Inventory optimization
- Regulatory compliance across borders
- Multi-party coordination
-
Retail Operations
- Demand-driven procurement
- Dynamic inventory management
- Last-mile delivery optimization
- Vendor compliance management
- Real-time supply chain visibility
-
Pharmaceutical Supply Chain
- Temperature-controlled logistics
- Regulatory compliance tracking
- Quality control automation
- End-to-end traceability
- Emergency supply optimization