| |
| """Generate phase-1 and phase-2 YAML configs for a problem. |
| |
| Reads the problem's existing config.yaml to extract the system_message and |
| evaluator timeout, then writes two new configs pointing at a local vLLM server. |
| |
| Usage: |
| python scripts/gen_phase_configs.py examples/.../config.yaml output_dir/ \ |
| --model Qwen/Qwen2.5-7B-Instruct --api-base http://localhost:8000/v1 |
| """ |
|
|
| import argparse |
| import yaml |
| import os |
|
|
|
|
| PHASE_TEMPLATE = { |
| "log_level": "INFO", |
| "checkpoint_interval": 5, |
| "diff_based_evolution": False, |
| "allow_full_rewrites": True, |
| } |
|
|
| PHASE_SETTINGS = { |
| 1: { |
| "temperature": 0.7, |
| "num_top_programs": 3, |
| "population_size": 50, |
| "archive_size": 25, |
| "num_islands": 4, |
| "exploitation_ratio": 0.7, |
| "migration_interval": 30, |
| "cascade_thresholds": [0.3, 0.6], |
| }, |
| 2: { |
| "temperature": 0.8, |
| "num_top_programs": 4, |
| "population_size": 60, |
| "archive_size": 30, |
| "num_islands": 5, |
| "exploitation_ratio": 0.55, |
| "migration_interval": 25, |
| "cascade_thresholds": [0.4, 0.7], |
| "max_code_length": 100000, |
| }, |
| } |
|
|
| PHASE2_ADDENDUM = ( |
| "\n\nPHASE 2 INSTRUCTIONS: The evolution has reached a plateau. " |
| "Try fundamentally different approaches rather than incremental tweaks. " |
| "Consider alternative mathematical formulations, different optimization " |
| "strategies, or novel algorithmic ideas." |
| ) |
|
|
|
|
| def build_config(base_cfg, phase, model, api_base, iterations): |
| s = PHASE_SETTINGS[phase] |
| system_msg = base_cfg.get("prompt", {}).get( |
| "system_message", |
| "You are an expert mathematician and algorithm designer.", |
| ) |
| if phase == 2: |
| system_msg += PHASE2_ADDENDUM |
|
|
| eval_timeout = base_cfg.get("evaluator", {}).get("timeout", 360) |
|
|
| cfg = { |
| **PHASE_TEMPLATE, |
| "max_iterations": iterations, |
| "llm": { |
| "models": [{"name": model, "weight": 1.0}], |
| "api_base": api_base, |
| "api_key": "EMPTY", |
| "temperature": s["temperature"], |
| "top_p": 0.95, |
| "max_tokens": 8192, |
| "timeout": 300, |
| }, |
| "prompt": { |
| "system_message": system_msg, |
| "num_top_programs": s["num_top_programs"], |
| "use_template_stochasticity": True, |
| }, |
| "database": { |
| "population_size": s["population_size"], |
| "archive_size": s["archive_size"], |
| "num_islands": s["num_islands"], |
| "elite_selection_ratio": 0.3, |
| "exploitation_ratio": s["exploitation_ratio"], |
| "migration_interval": s["migration_interval"], |
| }, |
| "evaluator": { |
| "timeout": eval_timeout, |
| "cascade_evaluation": True, |
| "cascade_thresholds": s["cascade_thresholds"], |
| "parallel_evaluations": 2, |
| "use_llm_feedback": False, |
| }, |
| } |
| if "max_code_length" in s: |
| cfg["max_code_length"] = s["max_code_length"] |
| return cfg |
|
|
|
|
| def main(): |
| p = argparse.ArgumentParser(description=__doc__) |
| p.add_argument("base_config", help="Path to problem's config.yaml") |
| p.add_argument("output_dir", help="Directory to write phase configs into") |
| p.add_argument("--model", required=True) |
| p.add_argument("--api-base", required=True) |
| p.add_argument("--phase1-iter", type=int, default=100) |
| p.add_argument("--phase2-iter", type=int, default=200) |
| args = p.parse_args() |
|
|
| with open(args.base_config) as f: |
| base = yaml.safe_load(f) |
|
|
| for phase, iters in [(1, args.phase1_iter), (2, args.phase2_iter)]: |
| cfg = build_config(base, phase, args.model, args.api_base, iters) |
| out = os.path.join(args.output_dir, f"config_phase_{phase}.yaml") |
| with open(out, "w") as f: |
| yaml.dump(cfg, f, default_flow_style=False, sort_keys=False) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
