12591282da
Major rewrite based on deep study of Karpathy's autoresearch repo.
Architecture changes:
- Multi-experiment support: .autoresearch/{domain}/{name}/ structure
- Domain categories: engineering, marketing, content, prompts, custom
- Project-level (git-tracked, shareable) or user-level (~/.autoresearch/) scope
- User chooses scope during setup, not installation
New evaluators (8 ready-to-use):
- Free: benchmark_speed, benchmark_size, test_pass_rate, build_speed, memory_usage
- LLM judge (uses existing subscription): llm_judge_content, llm_judge_prompt, llm_judge_copy
- LLM judges call user's CLI tool (claude/codex/gemini) — no extra API keys needed
Script improvements:
- setup_experiment.py: --domain, --scope, --evaluator, --list, --list-evaluators
- run_experiment.py: --experiment domain/name, --resume, --loop, --single
- log_results.py: --dashboard, --domain, --format csv|markdown|terminal, --output
Results export:
- Terminal (default), CSV, and Markdown formats
- Per-experiment, per-domain, or cross-experiment dashboard view
SKILL.md rewritten:
- Clear activation triggers (when the skill should activate)
- Practical examples for each domain
- Evaluator documentation with cost transparency
- Simplified loop protocol matching Karpathy's original philosophy
369 lines
12 KiB
Python
369 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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autoresearch-agent: Experiment Runner
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Executes the autonomous experiment loop for a specific experiment.
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Reads config from .autoresearch/{domain}/{name}/config.cfg.
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Usage:
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python scripts/run_experiment.py --experiment engineering/api-speed --loop
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python scripts/run_experiment.py --experiment engineering/api-speed --single
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python scripts/run_experiment.py --experiment marketing/medium-ctr --loop
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python scripts/run_experiment.py --resume --loop
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python scripts/run_experiment.py --experiment engineering/api-speed --dry-run
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"""
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import argparse
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import os
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import signal
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import subprocess
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import sys
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import time
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from datetime import datetime
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from pathlib import Path
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def find_autoresearch_root():
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"""Find .autoresearch/ in project or user home."""
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project_root = Path(".").resolve() / ".autoresearch"
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if project_root.exists():
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return project_root
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user_root = Path.home() / ".autoresearch"
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if user_root.exists():
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return user_root
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return None
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def load_config(experiment_dir):
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"""Load config.cfg from experiment directory."""
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cfg_file = experiment_dir / "config.cfg"
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if not cfg_file.exists():
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print(f" Error: no config.cfg in {experiment_dir}")
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sys.exit(1)
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config = {}
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for line in cfg_file.read_text().splitlines():
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if ":" in line:
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k, v = line.split(":", 1)
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config[k.strip()] = v.strip()
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return config
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def run_cmd(cmd, cwd=None, timeout=None):
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"""Run shell command, return (returncode, stdout, stderr)."""
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result = subprocess.run(
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cmd, shell=True, capture_output=True, text=True,
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cwd=cwd, timeout=timeout
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)
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return result.returncode, result.stdout.strip(), result.stderr.strip()
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def get_current_commit(path):
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"""Get short hash of current HEAD."""
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_, commit, _ = run_cmd("git rev-parse --short HEAD", cwd=path)
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return commit
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def get_best_metric(experiment_dir, direction):
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"""Read the best metric from results.tsv."""
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tsv = experiment_dir / "results.tsv"
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if not tsv.exists():
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return None
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lines = [l for l in tsv.read_text().splitlines()[1:] if "\tkeep\t" in l]
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if not lines:
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return None
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metrics = []
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for line in lines:
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parts = line.split("\t")
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try:
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if parts[1] != "N/A":
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metrics.append(float(parts[1]))
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except (ValueError, IndexError):
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continue
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if not metrics:
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return None
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return min(metrics) if direction == "lower" else max(metrics)
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def run_evaluation(project_root, eval_cmd, time_budget_minutes, log_file):
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"""Run evaluation with time limit. Output goes to log_file."""
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hard_limit = time_budget_minutes * 60 * 2.5
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t0 = time.time()
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try:
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code, _, _ = run_cmd(
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f"{eval_cmd} > {log_file} 2>&1",
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cwd=str(project_root),
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timeout=hard_limit
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)
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elapsed = time.time() - t0
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return code, elapsed
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except subprocess.TimeoutExpired:
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elapsed = time.time() - t0
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return -1, elapsed
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def extract_metric(log_file, metric_grep):
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"""Extract metric value from log file."""
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log_path = Path(log_file)
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if not log_path.exists():
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return None
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for line in reversed(log_path.read_text().splitlines()):
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stripped = line.strip()
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if stripped.startswith(metric_grep.lstrip("^")):
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try:
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return float(stripped.split(":")[-1].strip())
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except ValueError:
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continue
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return None
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def is_improvement(new_val, old_val, direction):
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"""Check if new result is better than old."""
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if old_val is None:
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return True
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if direction == "lower":
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return new_val < old_val
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return new_val > old_val
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def log_result(experiment_dir, commit, metric_val, status, description):
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"""Append result to results.tsv."""
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tsv = experiment_dir / "results.tsv"
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metric_str = f"{metric_val:.6f}" if metric_val is not None else "N/A"
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with open(tsv, "a") as f:
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f.write(f"{commit}\t{metric_str}\t{status}\t{description}\n")
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def get_experiment_count(experiment_dir):
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"""Count experiments run so far."""
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tsv = experiment_dir / "results.tsv"
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if not tsv.exists():
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return 0
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return max(0, len(tsv.read_text().splitlines()) - 1)
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def get_last_active(root):
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"""Find the most recently modified experiment."""
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latest = None
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latest_time = 0
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for domain_dir in root.iterdir():
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if not domain_dir.is_dir() or domain_dir.name.startswith("."):
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continue
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for exp_dir in domain_dir.iterdir():
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if not exp_dir.is_dir():
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continue
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cfg = exp_dir / "config.cfg"
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if cfg.exists() and cfg.stat().st_mtime > latest_time:
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latest_time = cfg.stat().st_mtime
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latest = f"{domain_dir.name}/{exp_dir.name}"
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return latest
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def run_single(project_root, experiment_dir, config, exp_num, dry_run=False):
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"""Run one experiment iteration."""
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direction = config.get("metric_direction", "lower")
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metric_grep = config.get("metric_grep", "^metric:")
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eval_cmd = config.get("evaluate_cmd", "python evaluate.py")
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time_budget = int(config.get("time_budget_minutes", 5))
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metric_name = config.get("metric", "metric")
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log_file = str(experiment_dir / "run.log")
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best = get_best_metric(experiment_dir, direction)
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ts = datetime.now().strftime("%H:%M:%S")
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print(f"\n[{ts}] Experiment #{exp_num}")
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print(f" Best {metric_name}: {best}")
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if dry_run:
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print(" [DRY RUN] Would run evaluation and check metric")
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return "dry_run"
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# Save state for rollback
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code, pre_commit, _ = run_cmd("git rev-parse HEAD", cwd=str(project_root))
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if code != 0:
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print(" Error: can't get git state")
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return "error"
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# Run evaluation
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print(f" Running: {eval_cmd} (budget: {time_budget}m)")
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ret_code, elapsed = run_evaluation(project_root, eval_cmd, time_budget, log_file)
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commit = get_current_commit(str(project_root))
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# Timeout
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if ret_code == -1:
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print(f" TIMEOUT after {elapsed:.0f}s — discarding")
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run_cmd("git checkout -- .", cwd=str(project_root))
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run_cmd(f"git reset --hard {pre_commit}", cwd=str(project_root))
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log_result(experiment_dir, commit, None, "crash", f"timeout_{elapsed:.0f}s")
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return "crash"
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# Crash
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if ret_code != 0:
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_, tail, _ = run_cmd(f"tail -5 {log_file}", cwd=str(project_root))
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print(f" CRASH (exit {ret_code}) after {elapsed:.0f}s")
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print(f" Last output: {tail[:200]}")
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run_cmd(f"git reset --hard {pre_commit}", cwd=str(project_root))
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log_result(experiment_dir, commit, None, "crash", f"exit_{ret_code}")
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return "crash"
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# Extract metric
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metric_val = extract_metric(log_file, metric_grep)
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if metric_val is None:
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print(f" Could not parse {metric_name} from run.log")
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run_cmd(f"git reset --hard {pre_commit}", cwd=str(project_root))
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log_result(experiment_dir, commit, None, "crash", "metric_parse_failed")
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return "crash"
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delta = ""
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if best is not None:
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diff = metric_val - best
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delta = f" (delta {diff:+.4f})"
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print(f" {metric_name}: {metric_val:.6f}{delta} in {elapsed:.0f}s")
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# Keep or discard
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if is_improvement(metric_val, best, direction):
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print(f" KEEP — improvement")
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log_result(experiment_dir, commit, metric_val, "keep",
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f"improved_{metric_name}_{metric_val:.4f}")
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return "keep"
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else:
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print(f" DISCARD — no improvement")
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run_cmd(f"git reset --hard {pre_commit}", cwd=str(project_root))
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best_str = f"{best:.4f}" if best else "?"
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log_result(experiment_dir, commit, metric_val, "discard",
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f"no_improvement_{metric_val:.4f}_vs_{best_str}")
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return "discard"
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def print_summary(experiment_dir, config):
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"""Print session summary."""
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tsv = experiment_dir / "results.tsv"
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if not tsv.exists():
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return
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lines = tsv.read_text().splitlines()[1:]
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if not lines:
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return
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keeps = [l for l in lines if "\tkeep\t" in l]
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discards = [l for l in lines if "\tdiscard\t" in l]
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crashes = [l for l in lines if "\tcrash\t" in l]
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metric_name = config.get("metric", "metric")
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direction = config.get("metric_direction", "lower")
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print(f"\n{'=' * 55}")
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print(f" autoresearch — Session Summary")
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print(f" Experiments: {len(lines)} total")
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print(f" Keep: {len(keeps)} | Discard: {len(discards)} | Crash: {len(crashes)}")
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if keeps:
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try:
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valid = []
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for l in keeps:
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parts = l.split("\t")
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if parts[1] != "N/A":
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valid.append(float(parts[1]))
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if len(valid) >= 2:
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first, last = valid[0], valid[-1]
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best = min(valid) if direction == "lower" else max(valid)
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pct = ((first - best) / first * 100) if direction == "lower" else ((best - first) / first * 100)
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print(f" {metric_name}: {first:.6f} -> {best:.6f} ({pct:+.1f}%)")
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except (ValueError, IndexError):
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pass
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print(f"{'=' * 55}\n")
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def main():
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parser = argparse.ArgumentParser(description="autoresearch-agent runner")
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parser.add_argument("--experiment", help="Experiment path: domain/name (e.g. engineering/api-speed)")
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parser.add_argument("--resume", action="store_true", help="Resume last active experiment")
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parser.add_argument("--loop", action="store_true", help="Run forever")
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parser.add_argument("--single", action="store_true", help="Run one experiment")
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parser.add_argument("--dry-run", action="store_true", help="Show what would happen")
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parser.add_argument("--max-experiments", type=int, default=0, help="Max experiments (0 = unlimited)")
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parser.add_argument("--path", default=".", help="Project root")
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args = parser.parse_args()
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project_root = Path(args.path).resolve()
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root = find_autoresearch_root()
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if root is None:
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print("No .autoresearch/ found. Run setup_experiment.py first.")
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sys.exit(1)
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# Resolve experiment
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experiment_path = args.experiment
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if args.resume:
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experiment_path = get_last_active(root)
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if not experiment_path:
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print("No experiments found to resume.")
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sys.exit(1)
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print(f"Resuming: {experiment_path}")
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if not experiment_path:
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print("Specify --experiment domain/name or --resume")
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sys.exit(1)
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experiment_dir = root / experiment_path
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if not experiment_dir.exists():
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print(f"Experiment not found: {experiment_dir}")
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print("Run: python scripts/setup_experiment.py --list")
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sys.exit(1)
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config = load_config(experiment_dir)
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domain, name = experiment_path.split("/", 1)
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print(f"\n autoresearch-agent")
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print(f" Experiment: {experiment_path}")
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print(f" Target: {config.get('target', '?')}")
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print(f" Metric: {config.get('metric', '?')} ({config.get('metric_direction', '?')} is better)")
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print(f" Budget: {config.get('time_budget_minutes', '?')} min/experiment")
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print(f" Mode: {'loop' if args.loop else 'single'}")
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if args.single or args.dry_run:
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exp_num = get_experiment_count(experiment_dir) + 1
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run_single(project_root, experiment_dir, config, exp_num, args.dry_run)
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return
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if not args.loop:
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print("\nSpecify --loop (forever) or --single (one experiment)")
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sys.exit(1)
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# Graceful shutdown
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def handle_interrupt(sig, frame):
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print_summary(experiment_dir, config)
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print("\nStopped by user.")
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sys.exit(0)
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signal.signal(signal.SIGINT, handle_interrupt)
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signal.signal(signal.SIGTERM, handle_interrupt)
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consecutive_crashes = 0
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exp_num = get_experiment_count(experiment_dir) + 1
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print(f"\nStarting loop. Ctrl+C to stop.\n")
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while True:
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result = run_single(project_root, experiment_dir, config, exp_num, False)
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exp_num += 1
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if result == "crash":
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consecutive_crashes += 1
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else:
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consecutive_crashes = 0
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if consecutive_crashes >= 5:
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print("\n 5 consecutive crashes. Pausing.")
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print(" Check .autoresearch/{}/run.log".format(experiment_path))
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break
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if 0 < args.max_experiments < exp_num:
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print(f"\n Reached max experiments ({args.max_experiments})")
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break
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print_summary(experiment_dir, config)
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if __name__ == "__main__":
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main()
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