{
  "evolvable_functions": [
    "alphaevolve.heuristics.score_match",
    "alphaevolve.heuristics.price_job",
    "alphaevolve.heuristics.rank_candidates",
    "alphaevolve.heuristics.schedule_agents"
  ],
  "prompt": {
    "explicit_context": "Economic optimization of AGIJobs marketplace heuristics.",
    "include_metrics": ["Utility", "GMV", "Cost", "Fairness"],
    "stochastic_templates": {
      "task_intro": [
        "Improve the allocation logic for higher ROI.",
        "Discover a breakthrough increase in Utility.",
        "Engineer a resilient uplift in marketplace economics."
      ],
      "use_probability": 0.35
    }
  },
  "models": {
    "fast_model": "gpt-fast",
    "strong_model": "gpt-strong",
    "strong_invoke_ratio": 0.15
  },
  "controller": {
    "max_parallel_evaluations": 4,
    "max_generations_per_run": 200,
    "wallclock_time_limit_min": 60
  },
  "thermostat": {
    "success_window": 12,
    "low_success_threshold": 0.15,
    "high_success_threshold": 0.6,
    "min_temperature": 0.2,
    "max_temperature": 0.9
  },
  "guardrails": {
    "max_cost_pct_baseline": 1.1,
    "min_utility_pct_baseline": 0.98,
    "min_fairness": 0.3,
    "rollback_on_latency_ms": 450
  },
  "baseline_metrics": {
    "GMV": 2100.0,
    "Cost": 880.0,
    "Utility": 1220.0,
    "Latency": 0.4,
    "Fairness": 0.35,
    "Acceptance": 0.65
  }
}