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110 lines
3.3 KiB
Python
110 lines
3.3 KiB
Python
# Copyright Sierra
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import argparse
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try:
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from dotenv import load_dotenv
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load_dotenv()
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except ImportError:
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pass
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from tau_bench.types import RunConfig
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from tau_bench.run import run
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from litellm import provider_list
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from tau_bench.envs.user import UserStrategy
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def parse_args() -> RunConfig:
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parser = argparse.ArgumentParser()
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parser.add_argument("--num-trials", type=int, default=1)
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parser.add_argument(
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"--env", type=str, choices=["retail", "airline"], default="retail"
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)
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parser.add_argument(
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"--model",
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type=str,
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help="The model to use for the agent",
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)
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parser.add_argument(
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"--model-provider",
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type=str,
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choices=provider_list,
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help="The model provider for the agent",
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)
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parser.add_argument(
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"--user-model",
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type=str,
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default="gpt-4o",
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help="The model to use for the user simulator",
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)
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parser.add_argument(
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"--user-model-provider",
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type=str,
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choices=provider_list,
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help="The model provider for the user simulator",
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)
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parser.add_argument(
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"--agent-strategy",
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type=str,
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default="tool-calling",
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choices=["tool-calling", "act", "react", "few-shot"],
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)
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parser.add_argument(
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"--temperature",
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type=float,
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default=0.0,
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help="The sampling temperature for the action model",
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)
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parser.add_argument(
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"--task-split",
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type=str,
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default="test",
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choices=["train", "test", "dev"],
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help="The split of tasks to run (only applies to the retail domain for now",
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)
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parser.add_argument("--start-index", type=int, default=0)
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parser.add_argument("--end-index", type=int, default=-1, help="Run all tasks if -1")
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parser.add_argument("--task-ids", type=int, nargs="+", help="(Optional) run only the tasks with the given IDs")
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parser.add_argument("--log-dir", type=str, default="results")
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parser.add_argument(
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"--max-concurrency",
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type=int,
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default=1,
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help="Number of tasks to run in parallel",
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)
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parser.add_argument("--seed", type=int, default=10)
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parser.add_argument("--shuffle", type=int, default=0)
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parser.add_argument("--user-strategy", type=str, default="llm", choices=[item.value for item in UserStrategy])
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parser.add_argument("--few-shot-displays-path", type=str, help="Path to a jsonlines file containing few shot displays")
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args = parser.parse_args()
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print(args)
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return RunConfig(
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model_provider=args.model_provider,
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user_model_provider=args.user_model_provider,
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model=args.model,
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user_model=args.user_model,
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num_trials=args.num_trials,
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env=args.env,
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agent_strategy=args.agent_strategy,
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temperature=args.temperature,
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task_split=args.task_split,
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start_index=args.start_index,
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end_index=args.end_index,
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task_ids=args.task_ids,
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log_dir=args.log_dir,
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max_concurrency=args.max_concurrency,
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seed=args.seed,
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shuffle=args.shuffle,
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user_strategy=args.user_strategy,
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few_shot_displays_path=args.few_shot_displays_path,
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)
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def main():
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config = parse_args()
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run(config)
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if __name__ == "__main__":
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main()
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