AgentArena / experiments /e2b_effort_levels.py
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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())