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| #!/usr/bin/env python3 | |
| """E2b Experiment: Effort-Level Impact on voiceLanguage Bug | |
| 4 Gruppen × 3 Runs (pass@3) × 1 Task = 12 Runs | |
| Group low: Minimal CLAUDE.md, effort=low, no injection | |
| Group medium: Minimal CLAUDE.md, effort=medium, no injection | |
| Group high: Minimal CLAUDE.md, effort=high, no injection | |
| Group low+hook: Minimal CLAUDE.md, effort=low, additionalContext injection | |
| Hypothesis: high effort may compensate, but low+hook may match/beat high without hook. | |
| """ | |
| import asyncio | |
| import json | |
| import sys | |
| import os | |
| # Add parent dir to path | |
| sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) | |
| from database import SessionLocal, create_all | |
| from models import Task, Agent, Run, RunStatus | |
| from core.runner import Runner | |
| # --- Agent Configurations --- | |
| MINIMAL_CLAUDE_MD = """# Settings | |
| Use tools to solve tasks. Be concise. | |
| """ | |
| SIDECAR_INJECTION = """Regeln fuer diese Session: | |
| 1. Lies Dateien BEVOR du sie editierst — verwende Read, nicht blind schreiben | |
| 2. Schreibe KEINE Config-Keys die nicht in der Datei existieren | |
| 3. Wenn du unsicher bist ob ein Key existiert, FRAG den User — rate nicht""" | |
| AGENTS = { | |
| "e2b-effort-low": { | |
| "adapter_type": "claude_code", | |
| "config": { | |
| "model": "claude-sonnet-4-6", | |
| "prompt_mode": "raw", | |
| "claude_md": MINIMAL_CLAUDE_MD, | |
| "clean_home": True, | |
| "effort": "low", | |
| }, | |
| }, | |
| "e2b-effort-medium": { | |
| "adapter_type": "claude_code", | |
| "config": { | |
| "model": "claude-sonnet-4-6", | |
| "prompt_mode": "raw", | |
| "claude_md": MINIMAL_CLAUDE_MD, | |
| "clean_home": True, | |
| "effort": "medium", | |
| }, | |
| }, | |
| "e2b-effort-high": { | |
| "adapter_type": "claude_code", | |
| "config": { | |
| "model": "claude-sonnet-4-6", | |
| "prompt_mode": "raw", | |
| "claude_md": MINIMAL_CLAUDE_MD, | |
| "clean_home": True, | |
| "effort": "high", | |
| }, | |
| }, | |
| "e2b-low-with-hook": { | |
| "adapter_type": "claude_code", | |
| "config": { | |
| "model": "claude-sonnet-4-6", | |
| "prompt_mode": "raw", | |
| "claude_md": MINIMAL_CLAUDE_MD, | |
| "additional_context": SIDECAR_INJECTION, | |
| "clean_home": True, | |
| "effort": "low", | |
| }, | |
| }, | |
| } | |
| TASK_SLUG = "voicelanguage-bug" | |
| K = 3 # pass@3 | |
| async def setup_agents(db) -> dict[str, Agent]: | |
| """Create or get agents.""" | |
| agents = {} | |
| for name, spec in AGENTS.items(): | |
| agent = db.query(Agent).filter(Agent.name == name).first() | |
| if not agent: | |
| agent = Agent( | |
| name=name, | |
| adapter_type=spec["adapter_type"], | |
| config_json=json.dumps(spec["config"]), | |
| ) | |
| db.add(agent) | |
| db.commit() | |
| db.refresh(agent) | |
| print(f" Created agent: {name}") | |
| else: | |
| # Update config in case it changed | |
| agent.config_json = json.dumps(spec["config"]) | |
| db.commit() | |
| print(f" Using existing agent: {name}") | |
| agents[name] = agent | |
| return agents | |
| async def import_task(db) -> Task: | |
| """Import task if not exists.""" | |
| task = db.query(Task).filter(Task.slug == TASK_SLUG).first() | |
| if not task: | |
| import yaml | |
| yaml_path = os.path.join( | |
| os.path.dirname(os.path.dirname(os.path.abspath(__file__))), | |
| "tasks", | |
| "voicelanguage_bug.yaml", | |
| ) | |
| with open(yaml_path) as f: | |
| data = yaml.safe_load(f) | |
| task = Task( | |
| slug=data["slug"], | |
| title=data["title"], | |
| description=data.get("description", ""), | |
| repo_url=data["repo"]["url"], | |
| repo_ref=data["repo"].get("ref", "main"), | |
| success_cmd=data["success"]["command"], | |
| time_limit_s=data["limits"].get("time_seconds", 300), | |
| token_limit=data["limits"].get("max_tokens", 200000), | |
| difficulty=data.get("difficulty", "easy"), | |
| ) | |
| db.add(task) | |
| db.commit() | |
| db.refresh(task) | |
| print(f" Imported task: {TASK_SLUG}") | |
| else: | |
| print(f" Using existing task: {TASK_SLUG}") | |
| return task | |
| def _functional_pass(run) -> bool: | |
| """Check if the judge's functional test passed (exit 0), ignoring regression/lint/complexity.""" | |
| try: | |
| metrics = json.loads(run.metrics_json or "{}") | |
| return metrics.get("judge", {}).get("functional_score", 0) >= 1.0 | |
| except (json.JSONDecodeError, ValueError): | |
| return run.status == RunStatus.success | |
| def print_results(db, agents: dict[str, Agent], task: Task): | |
| """Print experiment results.""" | |
| print("\n" + "=" * 60) | |
| print("E2b RESULTS: Effort-Level Impact") | |
| print("=" * 60) | |
| for name, agent in agents.items(): | |
| runs = ( | |
| db.query(Run) | |
| .filter(Run.agent_id == agent.id, Run.task_id == task.id) | |
| .order_by(Run.created_at.desc()) | |
| .limit(K) | |
| .all() | |
| ) | |
| total = len(runs) | |
| passed = sum(1 for r in runs if _functional_pass(r)) | |
| failed = total - passed | |
| errors = sum(1 for r in runs if r.status in (RunStatus.error, RunStatus.timeout)) | |
| avg_cost = sum(r.cost_usd or 0 for r in runs) / max(total, 1) | |
| pass_rate = f"{passed}/{total}" | |
| print(f"\n{'─' * 40}") | |
| print(f"Agent: {name}") | |
| print(f" pass@{K}: {pass_rate}") | |
| print(f" Passed: {passed} | Failed: {failed} | Errors: {errors}") | |
| print(f" Avg Cost: ${avg_cost:.4f}") | |
| for i, run in enumerate(runs, 1): | |
| func_pass = _functional_pass(run) | |
| status_icon = "+" if func_pass else "x" | |
| notes = (run.judge_notes or "")[:80] | |
| print(f" Run {i}: {status_icon} {'PASS' if func_pass else 'FAIL'} — {notes}") | |
| print(f"\n{'=' * 60}") | |
| # Collect pass counts per group | |
| def get_pass_count(agent_name: str) -> int: | |
| runs = ( | |
| db.query(Run) | |
| .filter(Run.agent_id == agents[agent_name].id, Run.task_id == task.id) | |
| .order_by(Run.created_at.desc()) | |
| .limit(K) | |
| .all() | |
| ) | |
| return sum(1 for r in runs if _functional_pass(r)) | |
| low_pass = get_pass_count("e2b-effort-low") | |
| medium_pass = get_pass_count("e2b-effort-medium") | |
| high_pass = get_pass_count("e2b-effort-high") | |
| hook_pass = get_pass_count("e2b-low-with-hook") | |
| print(f"\nVERDICT:") | |
| print(f" Effort low: {low_pass}/{K}") | |
| print(f" Effort medium: {medium_pass}/{K}") | |
| print(f" Effort high: {high_pass}/{K}") | |
| print(f" Low + Hook: {hook_pass}/{K}") | |
| print() | |
| if hook_pass >= high_pass: | |
| print(" -> Injection > Effort: low+hook matched or beat high without hook") | |
| else: | |
| print(f" -> Effort wins: high ({high_pass}/{K}) > low+hook ({hook_pass}/{K})") | |
| if high_pass > low_pass: | |
| print(f" -> Effort does matter: high ({high_pass}/{K}) > low ({low_pass}/{K})") | |
| elif high_pass == low_pass: | |
| print(f" -> Effort has no effect on this task ({low_pass}/{K} across all effort levels)") | |
| async def main(): | |
| print("E2b Experiment: Effort-Level Impact on voiceLanguage Bug") | |
| print("=" * 60) | |
| create_all() | |
| db = SessionLocal() | |
| runner = Runner() | |
| try: | |
| # Setup | |
| print("\n[1/3] Setting up...") | |
| task = await import_task(db) | |
| agents = await setup_agents(db) | |
| # Run experiments | |
| print(f"\n[2/3] Running {len(agents)} agents x {K} runs = {len(agents) * K} total runs...") | |
| for name, agent in agents.items(): | |
| print(f"\n Starting {name} (pass@{K})...") | |
| runs = await runner.run_pass_at_k(db, task, agent, k=K) | |
| passed = sum(1 for r in runs if r.status == RunStatus.success) | |
| print(f" -> {name}: {passed}/{len(runs)} passed") | |
| # Results | |
| print_results(db, agents, task) | |
| finally: | |
| db.close() | |
| if __name__ == "__main__": | |
| asyncio.run(main()) | |