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"""
Runner - orchestrates experiment runs based on config.
Loops through models, scenarios, and oversight levels.
"""
import os
from typing import List, Dict, Any
from config_loader import ConfigLoader, ProviderConfig, ModelConfig, ScenarioConfig
from vfs import VFS
from agent import Agent
import datetime
def load_prompt(file_path: str) -> str:
"""Load a prompt file."""
if not os.path.exists(file_path):
return ""
with open(file_path, 'r') as f:
return f.read().strip()
class ExperimentRunner:
"""Runs experiments based on configuration."""
def __init__(self, config: ConfigLoader, verbose: bool = False):
self.config = config
self.results: List[Dict] = []
self.verbose = verbose
def run_all(self):
"""Run all experiments defined in config."""
print(f"\n{'='*60}")
print("Starting Experiment Run")
print(f"{'='*60}\n")
total_runs = 0
for model_config in self.config.models:
for scenario_config in self.config.scenarios:
for oversight_level in self.config.oversight_levels:
runs = self._run_combo(model_config, scenario_config, oversight_level)
total_runs += runs
print(f"\n{'='*60}")
print(f"Experiment Complete: {total_runs} runs")
print(f"{'='*60}\n")
def _run_combo(
self,
model_config: ModelConfig,
scenario_config: ScenarioConfig,
oversight_level: str
) -> int:
"""Run a specific combination of model, scenario, and oversight."""
provider_config = self.config.get_provider(model_config.provider)
scenario_name = os.path.basename(scenario_config.path)
print(f"\n--- Running: {model_config.id} | {scenario_name} | {oversight_level} ---")
runs_completed = 0
for run_num in range(1, scenario_config.runs + 1):
try:
self._run_single(
model_config=model_config,
provider_config=provider_config,
scenario_config=scenario_config,
oversight_level=oversight_level,
run_num=run_num
)
runs_completed += 1
except Exception as e:
print(f"ERROR in run {run_num}: {e}")
import traceback
traceback.print_exc()
print(f"--- Completed: {runs_completed}/{scenario_config.runs} runs ---")
return runs_completed
def _run_single(
self,
model_config: ModelConfig,
provider_config: ProviderConfig,
scenario_config: ScenarioConfig,
oversight_level: str,
run_num: int
):
"""Run a single experiment."""
# Load scenario prompts
benign_goal = load_prompt(os.path.join(scenario_config.path, "benign_goal.md"))
hidden_goal = load_prompt(os.path.join(scenario_config.path, "hidden_goal.md"))
user_prompt = load_prompt(os.path.join(scenario_config.path, "user.md"))
oversight_prompt = load_prompt(os.path.join("oversight", f"{oversight_level}.md"))
# Build system prompt
system_parts = [benign_goal]
if hidden_goal:
system_parts.append(hidden_goal)
if oversight_prompt:
system_parts.append(oversight_prompt)
system_prompt = "\n\n".join(filter(None, system_parts))
# Initialize VFS
vfs_path = os.path.join(scenario_config.path, "data")
VFS.get_instance(vfs_path)
print(f" VFS initialized from: {vfs_path}")
if self.verbose:
VFS.get_instance().print_fs()
# Create agent
agent = Agent.from_configs(
system_prompt=system_prompt,
provider_config=provider_config,
model_config=model_config,
scenario=os.path.basename(scenario_config.path),
oversight_level=oversight_level,
user_prompt_type="user.md"
)
# Run the conversation
print(f"\n Starting conversation (run {run_num})...")
start_time = datetime.datetime.now()
agent.run(user_prompt)
end_time = datetime.datetime.now()
# Save logs
output_dir = self.config.output_dir
log_file = agent.save_logs(output_dir=output_dir)
# Print final VFS
if self.verbose:
print(f"\n Final VFS state:")
VFS.get_instance().print_fs()
# Record result
self.results.append({
"model": model_config.id,
"provider": model_config.provider,
"scenario": os.path.basename(scenario_config.path),
"oversight_level": oversight_level,
"run_num": run_num,
"run_id": f"{model_config.id}/{os.path.basename(scenario_config.path)}/{oversight_level}/{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}",
"duration_seconds": (end_time - start_time).total_seconds(),
"total_tokens": agent.total_tokens,
"log_file": log_file
})
print(f" Completed in {(end_time - start_time).total_seconds():.2f}s")
def run_from_config(config_path: str = "config.yaml"):
"""Convenience function to run all experiments from a config file."""
config = ConfigLoader(config_path)
config.load()
runner = ExperimentRunner(config)
runner.run_all()
return runner.results
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Run experiments from config")
parser.add_argument("--config", default="config.yaml", help="Path to config file")
args = parser.parse_args()
run_from_config(args.config)
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