{
  "spec_version": "1.4.0-otel",
  "timestamp": "2026-04-24T00:13:03.355457Z",
  "trace_id": "4bf92f3577b34da6a3ce929d0e0e4736",
  "span_id": "00f067aa0ba902b7",
  "severity_text": "WARN",
  "severity_number": 13,
  "event_name": "swarm.agent.lifecycle.deprecated",
  "resource": {
    "service.name": "swarm-orchestrator",
    "service.version": "4.2.0",
    "deployment.environment": "production",
    "node.id": "worker-node-aws-us-east-1a-04"
  },
  "attributes": {
    "agent.id": "QuantumRiskAgent",
    "agent.previous_version": "v29.x",
    "agent.target_version": "v30",
    "deprecation.reason": "Transitioning to v30 architecture.",
    "deprecation.action_required": true
  },
  "metrics": {
    "agent.core_logic.function_count": 2,
    "agent.capabilities.count": 0
  },
  "artifacts": {
    "provenance": {
      "repository": "git+ssh://repo/core/agents/specialized/quantum_risk_agent.py",
      "commit_sha": "a1b2c3d4e5f6g7h8i9j0",
      "docstring_hash": "sha256:d8c4b12389a..."
    },
    "extracted_capabilities": [],
    "core_logic_signatures": [
      {
        "name": "__init__",
        "ast_hash": "sha256:dace567501d657d9",
        "loc": 5,
        "source": "def __init__(self, config: Dict[str, Any] = None):\n        if config is None:\n            config = {\"agent_id\": \"quantum_risk_agent\"}\n        super().__init__(config)\n        self.engine = QuantumMonteCarloEngine(n_simulations=5000)"
      },
      {
        "name": "execute",
        "ast_hash": "sha256:6452ff8e147e79bd",
        "loc": 27,
        "source": "async def execute(self, task: str, **kwargs) -> Dict[str, Any]:\n        \"\"\"\n        Executes a risk analysis task.\n        Expected kwargs: portfolio_value, volatility, horizon\n        \"\"\"\n        logger.info(f\"QuantumRiskAgent received task: {task}\")\n\n        portfolio_value = kwargs.get(\"portfolio_value\", 1000000.0)\n        volatility = kwargs.get(\"volatility\", 0.2)\n        horizon = kwargs.get(\"horizon\", 1.0) # 1 year\n\n        try:\n            metrics = self.engine.simulate_portfolio_risk(\n                initial_value=portfolio_value,\n                volatility=volatility,\n                time_horizon=horizon\n            )\n\n            return {\n                \"status\": \"success\",\n                \"task\": task,\n                \"risk_metrics\": metrics,\n                \"narrative\": f\"Quantum Simulation estimates a 99% VaR of ${metrics['VaR_99']:.2f} over {horizon} years.\"\n            }\n        except Exception as e:\n            logger.error(f\"Quantum Risk Analysis failed: {e}\")\n            return {\"status\": \"error\", \"message\": str(e)}"
      }
    ]
  }
}