optimizer.json

{
  "evaluate": {
    "metrics": [
      {
        "metric_name": "final_response_avg_score",
        "threshold": 1.0,
        "criterion": {
          "final_response": {
            "text": {
              "match": "exact",
              "case_insensitive": false
            }
          }
        }
      }
    ],
    "num_runs": 1
  },
  "optimize": {
    "eval_case_parallelism": 1,
    "stop": {
      "required_metrics": "all"
    },
    "algorithm": {
      "name": "gepa_reflective",
      "seed": 42,
      "reflection_lm": {
        "model_name": "${TRPC_AGENT_MODEL_NAME}",
        "base_url": "${TRPC_AGENT_BASE_URL}",
        "api_key": "${TRPC_AGENT_API_KEY}",
        "generation_config": { "max_tokens": 4096, "temperature": 0.6 }
      },
      "candidate_selection_strategy": "pareto",
      "module_selector": "round_robin",
      "frontier_type": "instance",
      "reflection_minibatch_size": 3,
      "reflection_history_top_k": 2,
      "skip_perfect_score": false,
      "use_merge": false,
      "max_metric_calls": 24,
      "score_threshold": 1.0,
      "max_iterations_without_improvement": 3
    }
  }
}