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import argparse |
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GLOBAL_MAX_TIME = 500000.0 |
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def setup_arg_parser(): |
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parser = argparse.ArgumentParser(description="Gene expression data analysis with LLM-based agents.") |
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parser.add_argument('--max-rounds', type=int, default=2, help='Maximum number of revision rounds.') |
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parser.add_argument('--de', type=lambda x: (str(x).lower() == 'true'), default=True, help='Include domain expert.') |
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parser.add_argument('--cs', type=lambda x: (str(x).lower() == 'true'), default=True, help='Use code snippet.') |
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parser.add_argument('--version', type=str, required=True, help='Version string for the current run of experiment.') |
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parser.add_argument('--model', type=str, required=True, help='Name of LLM.') |
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parser.add_argument('--provider', type=str, default='none', |
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choices=['none', 'openai', 'anthropic', 'google', 'meta', 'deepseek', 'novita'], |
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help='Provider of LLM. Use "none" to auto-detect from model name.') |
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parser.add_argument('--api', type=int, default=None, |
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help='Index of API configuration to use (1-based). If not provided, uses default API keys.') |
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parser.add_argument('--use-api', action='store_true', |
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help='Use API service for open source models (e.g., Novita for Llama)') |
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parser.add_argument('--max-retract', type=int, default=1, |
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help='Maximum number of times allowed to retract to previous steps') |
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parser.add_argument('--plan', type=lambda x: (str(x).lower() == 'true'), default=True, |
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help='Enable context-aware planning. Use "true" or "false".') |
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parser.add_argument('--max-time', type=float, default=420, |
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help='Maximum time (in seconds) allowed for the task') |
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return parser |
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