pipeline works from pi simulation to control output and strategy generation.

ai_intelligence_layer/start_ai_layer.sh

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+#!/bin/bash
+# Start AI Intelligence Layer
+# Usage: ./start_ai_layer.sh
+
+cd "$(dirname "$0")"
+
+echo "Starting AI Intelligence Layer on port 9000..."
+echo "Logs will be written to /tmp/ai_layer.log"
+echo ""
+
+# Kill any existing process on port 9000
+PID=$(lsof -ti:9000)
+if [ ! -z "$PID" ]; then
+    echo "Killing existing process on port 9000 (PID: $PID)"
+    kill -9 $PID 2>/dev/null
+    sleep 1
+fi
+
+# Start the AI layer
+python3 main.py > /tmp/ai_layer.log 2>&1 &
+AI_PID=$!
+
+echo "AI Layer started with PID: $AI_PID"
+echo ""
+
+# Wait for startup
+echo "Waiting for server to start..."
+sleep 3
+
+# Check if it's running
+if lsof -Pi :9000 -sTCP:LISTEN -t >/dev/null ; then
+    echo "✓ AI Intelligence Layer is running on port 9000"
+    echo ""
+    echo "Health check:"
+    curl -s http://localhost:9000/api/health | python3 -m json.tool 2>/dev/null || echo "  (waiting for full startup...)"
+    echo ""
+    echo "WebSocket endpoint: ws://localhost:9000/ws/pi"
+    echo ""
+    echo "To stop: kill $AI_PID"
+    echo "To view logs: tail -f /tmp/ai_layer.log"
+else
+    echo "✗ Failed to start AI Intelligence Layer"
+    echo "Check logs: tail /tmp/ai_layer.log"
+    exit 1
+fi