feat: add autoresearch-agent — autonomous experiment loop for ML, prompt, code & skill optimization
Inspired by Karpathy's autoresearch. The agent modifies a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely — no human in the loop. Includes: - SKILL.md with setup wizard, 4 domain configs, experiment loop protocol - 3 stdlib-only Python scripts (setup, run, log — 687 lines) - Reference docs: experiment domains guide, program.md templates Domains: ML training (val_bpb), prompt engineering (eval_score), code performance (p50_ms), agent skill optimization (pass_rate). Cherry-picked from feat/autoresearch-agent and rebased onto dev. Fixes: timeout inconsistency (2x→2.5x), results.tsv tracking clarity, zero-metric edge case, installation section aligned with multi-tool support.
This commit is contained in:
Leo
255
engineering/autoresearch-agent/scripts/setup_experiment.py
Normal file
255
engineering/autoresearch-agent/scripts/setup_experiment.py
Normal file
@@ -0,0 +1,255 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
autoresearch-agent: Setup Wizard
|
||||
|
||||
Initializes a new research run:
|
||||
1. Validates the project structure
|
||||
2. Creates a git branch
|
||||
3. Runs the baseline experiment
|
||||
4. Initializes results.tsv
|
||||
|
||||
Usage:
|
||||
python scripts/setup_experiment.py [--config experiment.yaml]
|
||||
python scripts/setup_experiment.py --domain ml|prompt|code|skill
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import os
|
||||
import subprocess
|
||||
import sys
|
||||
import time
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
DOMAINS = {
|
||||
"ml": {
|
||||
"target": "train.py",
|
||||
"evaluate_cmd": "uv run train.py",
|
||||
"metric": "val_bpb",
|
||||
"metric_direction": "lower",
|
||||
"time_budget_minutes": 5,
|
||||
"metric_grep": "^val_bpb:",
|
||||
},
|
||||
"prompt": {
|
||||
"target": "prompt.md",
|
||||
"evaluate_cmd": "python evaluate.py",
|
||||
"metric": "eval_score",
|
||||
"metric_direction": "higher",
|
||||
"time_budget_minutes": 2,
|
||||
"metric_grep": "^eval_score:",
|
||||
},
|
||||
"code": {
|
||||
"target": "src/module.py",
|
||||
"evaluate_cmd": "python benchmark.py",
|
||||
"metric": "p50_ms",
|
||||
"metric_direction": "lower",
|
||||
"time_budget_minutes": 10,
|
||||
"metric_grep": "^p50_ms:",
|
||||
},
|
||||
"skill": {
|
||||
"target": "SKILL.md",
|
||||
"evaluate_cmd": "python scripts/skill_evaluator.py",
|
||||
"metric": "pass_rate",
|
||||
"metric_direction": "higher",
|
||||
"time_budget_minutes": 5,
|
||||
"metric_grep": "^pass_rate:",
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
def run_cmd(cmd, cwd=None, timeout=None):
|
||||
"""Run a shell command and return (returncode, stdout, stderr)."""
|
||||
result = subprocess.run(
|
||||
cmd, shell=True, capture_output=True, text=True,
|
||||
cwd=cwd, timeout=timeout
|
||||
)
|
||||
return result.returncode, result.stdout.strip(), result.stderr.strip()
|
||||
|
||||
|
||||
def check_git_repo(path):
|
||||
"""Verify we're in a git repo."""
|
||||
code, out, err = run_cmd("git rev-parse --is-inside-work-tree", cwd=path)
|
||||
if code != 0:
|
||||
print("✗ Not a git repository. Run: git init && git add . && git commit -m 'initial'")
|
||||
return False
|
||||
print("✓ Git repository found")
|
||||
return True
|
||||
|
||||
|
||||
def check_program_md(path):
|
||||
"""Check program.md exists and has content."""
|
||||
pm = Path(path) / "program.md"
|
||||
if not pm.exists():
|
||||
print("⚠ program.md not found. Creating template...")
|
||||
return False
|
||||
content = pm.read_text()
|
||||
if len(content) < 100:
|
||||
print("⚠ program.md looks empty. Fill it out before running experiments.")
|
||||
return False
|
||||
print(f"✓ program.md found ({len(content)} chars)")
|
||||
return True
|
||||
|
||||
|
||||
def check_target_file(path, target):
|
||||
"""Check target file exists."""
|
||||
tf = Path(path) / target
|
||||
if not tf.exists():
|
||||
print(f"✗ Target file not found: {target}")
|
||||
return False
|
||||
print(f"✓ Target file found: {target}")
|
||||
return True
|
||||
|
||||
|
||||
def check_evaluate_script(path):
|
||||
"""Check evaluate.py exists."""
|
||||
ev = Path(path) / "evaluate.py"
|
||||
if not ev.exists():
|
||||
print("⚠ evaluate.py not found. You need a fixed evaluation function.")
|
||||
print(" Create evaluate.py that outputs: metric_name: <value>")
|
||||
return False
|
||||
print("✓ evaluate.py found")
|
||||
return True
|
||||
|
||||
|
||||
def create_branch(path, tag):
|
||||
"""Create and checkout the experiment branch."""
|
||||
branch = f"autoresearch/{tag}"
|
||||
code, out, err = run_cmd(f"git checkout -b {branch}", cwd=path)
|
||||
if code != 0:
|
||||
if "already exists" in err:
|
||||
print(f"✗ Branch '{branch}' already exists. Use a different tag.")
|
||||
else:
|
||||
print(f"✗ Failed to create branch: {err}")
|
||||
return None
|
||||
print(f"✓ Created branch: {branch}")
|
||||
return branch
|
||||
|
||||
|
||||
def init_results_tsv(path):
|
||||
"""Create results.tsv with header."""
|
||||
tsv = Path(path) / "results.tsv"
|
||||
if tsv.exists():
|
||||
print(f"✓ results.tsv already exists ({tsv.stat().st_size} bytes)")
|
||||
return
|
||||
tsv.write_text("commit\tmetric\tstatus\tdescription\n")
|
||||
print("✓ Created results.tsv")
|
||||
|
||||
|
||||
def run_baseline(path, evaluate_cmd, metric_grep, time_budget_minutes):
|
||||
"""Run the baseline experiment."""
|
||||
print(f"\nRunning baseline experiment (~{time_budget_minutes} min)...")
|
||||
timeout = time_budget_minutes * 60 * 2.5 # 2.5x budget as hard limit
|
||||
|
||||
t0 = time.time()
|
||||
code, out, err = run_cmd(
|
||||
f"{evaluate_cmd} > run.log 2>&1",
|
||||
cwd=path,
|
||||
timeout=timeout
|
||||
)
|
||||
elapsed = time.time() - t0
|
||||
|
||||
if code != 0:
|
||||
print(f"✗ Baseline run failed after {elapsed:.0f}s. Check run.log")
|
||||
return None
|
||||
|
||||
# Extract metric
|
||||
grep_code, grep_out, _ = run_cmd(
|
||||
f"grep '{metric_grep}' run.log | tail -1",
|
||||
cwd=path
|
||||
)
|
||||
if not grep_out:
|
||||
print("✗ Could not extract metric from run.log. Check metric_grep pattern.")
|
||||
return None
|
||||
|
||||
metric_value = grep_out.split(":")[-1].strip()
|
||||
print(f"✓ Baseline complete in {elapsed:.0f}s — metric: {metric_value}")
|
||||
return metric_value
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="autoresearch-agent setup")
|
||||
parser.add_argument("--domain", choices=list(DOMAINS.keys()), help="Experiment domain")
|
||||
parser.add_argument("--target", help="Target file to optimize")
|
||||
parser.add_argument("--evaluate-cmd", help="Evaluation command")
|
||||
parser.add_argument("--metric", help="Metric name")
|
||||
parser.add_argument("--direction", choices=["lower", "higher"], default="lower")
|
||||
parser.add_argument("--budget", type=int, default=5, help="Time budget in minutes")
|
||||
parser.add_argument("--tag", help="Run tag (used in branch name)")
|
||||
parser.add_argument("--path", default=".", help="Project root path")
|
||||
parser.add_argument("--skip-baseline", action="store_true")
|
||||
args = parser.parse_args()
|
||||
|
||||
path = Path(args.path).resolve()
|
||||
print(f"\n🔬 autoresearch-agent setup")
|
||||
print(f" Project: {path}")
|
||||
print(f" Time: {datetime.now().strftime('%Y-%m-%d %H:%M')}\n")
|
||||
|
||||
# Get config from domain or args
|
||||
if args.domain:
|
||||
config = DOMAINS[args.domain].copy()
|
||||
else:
|
||||
config = {
|
||||
"target": args.target or "target.py",
|
||||
"evaluate_cmd": args.evaluate_cmd or "python evaluate.py",
|
||||
"metric": args.metric or "score",
|
||||
"metric_direction": args.direction,
|
||||
"time_budget_minutes": args.budget,
|
||||
"metric_grep": f"^{args.metric or 'score'}:",
|
||||
}
|
||||
|
||||
tag = args.tag or datetime.now().strftime("%b%d").lower()
|
||||
|
||||
# Validation checks
|
||||
checks = [
|
||||
check_git_repo(path),
|
||||
check_program_md(path),
|
||||
check_target_file(path, config["target"]),
|
||||
check_evaluate_script(path),
|
||||
]
|
||||
|
||||
if not all(checks):
|
||||
print("\n⚠ Fix the above issues before running experiments.")
|
||||
sys.exit(1)
|
||||
|
||||
# Create branch
|
||||
branch = create_branch(path, tag)
|
||||
if not branch:
|
||||
sys.exit(1)
|
||||
|
||||
# Init results TSV
|
||||
init_results_tsv(path)
|
||||
|
||||
# Save config for run_experiment.py
|
||||
config_content = "\n".join(f"{k}: {v}" for k, v in config.items())
|
||||
(path / ".autoresearch.cfg").write_text(config_content + "\n")
|
||||
print("✓ Saved .autoresearch.cfg")
|
||||
|
||||
# Run baseline
|
||||
if not args.skip_baseline:
|
||||
baseline = run_baseline(
|
||||
path,
|
||||
config["evaluate_cmd"],
|
||||
config["metric_grep"],
|
||||
config["time_budget_minutes"]
|
||||
)
|
||||
if baseline:
|
||||
# Log baseline to TSV
|
||||
code, commit, _ = run_cmd("git rev-parse --short HEAD", cwd=path)
|
||||
with open(path / "results.tsv", "a") as f:
|
||||
f.write(f"{commit}\t{baseline}\tkeep\tbaseline\n")
|
||||
print(f"✓ Baseline logged to results.tsv")
|
||||
|
||||
print(f"\n✅ Setup complete!")
|
||||
print(f" Branch: {branch}")
|
||||
print(f" Target: {config['target']}")
|
||||
print(f" Metric: {config['metric']} ({config['metric_direction']} is better)")
|
||||
print(f" Budget: {config['time_budget_minutes']} min/experiment")
|
||||
print(f"\nTo start the autonomous loop:")
|
||||
print(f" python scripts/run_experiment.py --loop")
|
||||
print(f"\nOr run a single experiment:")
|
||||
print(f" python scripts/run_experiment.py --single")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user