Identity + Policy Pattern

// AI Trading Agent - No agent communication needed
const tradingAgent = await secureConnect(
  new LangChain.Agent({
    name: "trading_agent",
    llm: new OpenAI({ temperature: 0 }),
    tools: [
      marketSentimentAnalyzer,  // Processes news, social media, market sentiment
      patternRecognitionTool,   // Identifies complex market patterns
      adaptiveStrategyTool,     // Learns and adjusts trading strategies
      nlpFinancialAnalyzer,     // Natural language processing of financial reports
      marketRegimeDetector,     // Identifies market regime changes
      riskAssessmentTool        // Risk evaluation with ML
    ]
  }), 
  {
    spiffe: {
      trustDomain: "trading.finance.org"
    },
    policy: {
      // Policy enforces safety while allowing intelligent decisions
      initialPolicy: `
        package aztp.authz
 
        # Default deny
        default allow = false
 
        # Trading operation rules with ML context
        allow {
          # Verify operation type
          input.action in ["analyze_market", "place_order", "modify_order"]
          
          # Trading limits with risk context
          input.payload.orderValue <= trading_limits[input.payload.instrument_type]
          
          # ML-based risk evaluation
          input.payload.base_risk_score <= 0.7
          input.payload.sentiment_risk_score <= 0.8
          input.payload.regime_risk_score <= 0.6
          
          # Market hours with regime awareness
          current_hour := time.clock(time.now_ns())[0]
          market_hours[input.payload.market].start <= current_hour
          current_hour < market_hours[input.payload.market].end
        }
 
        # Trading limits by instrument
        trading_limits = {
          "equity": 1000000,
          "forex": 500000,
          "crypto": 100000,
          "derivatives": 750000
        }
      `
    }
  }
);
 
// Example of policy-controlled trading
async function executeTrade(order) {
  // Market analysis and context gathering
  const marketContext = await tradingAgent.analyzeMarketContext({
    technicalPatterns: await patternRecognitionTool.analyze(),
    marketSentiment: await marketSentimentAnalyzer.getCurrentSentiment(),
    newsImpact: await nlpFinancialAnalyzer.processRecentNews(),
    marketRegime: await marketRegimeDetector.getCurrentRegime()
  });
 
  // Policy check with risk assessment
  const canTrade = await tradingAgent.can("place_order", {
    instrument_type: order.instrument,
    orderValue: order.value,
    market: order.market,
    base_risk_score: await calculateTraditionalRisk(order),
    sentiment_risk_score: marketContext.sentimentRisk,
    regime_risk_score: marketContext.regimeRisk,
    market_regime: marketContext.currentRegime,
    model_confidence: marketContext.confidenceScore
  });
 
  if (!canTrade) {
    throw new Error("Trade not allowed under current policy and risk assessment");
  }
 
  // Execute trade with optimized parameters
  return await tradingAgent.executeOrder({
    order: {
      ...order,
      execution_strategy: marketContext.optimalStrategy,
      timing: marketContext.optimalTiming,
      sizing: marketContext.recommendedSize
    },
    metadata: {
      policy_check: canTrade,
      market_context: marketContext,
      model_confidence: marketContext.confidenceScore
    }
  });
}