parser.add_argument('--openai_api_key', type=str, required=True, help='OpenAI API Key')
parser.add_argument('--replicate_api_key', type=str, required=False, help='Replicate API Key')
parser.add_argument('--inf_type', type=str, choices=['llm', 'human_doctor', 'human_patient'], default='llm')
parser.add_argument('--doctor_bias', type=str, help='Doctor bias type', default='None', choices=["recency", "frequency", "false_consensus", "confirmation", "status_quo", "gender", "race", "sexual_orientation", "cultural", "education", "religion", "socioeconomic"])
parser.add_argument('--patient_bias', type=str, help='Patient bias type', default='None', choices=["recency", "frequency", "false_consensus", "self_diagnosis", "gender", "race", "sexual_orientation", "cultural", "education", "religion", "socioeconomic"])
parser.add_argument('--doctor_llm', type=str, default='gpt4', choices=['gpt4', 'gpt3.5', 'llama-2-70b-chat', 'mixtral-8x7b', 'gpt4o'])
parser.add_argument('--patient_llm', type=str, default='gpt4', choices=['gpt4', 'gpt3.5', 'mixtral-8x7b', 'gpt4o'])
parser.add_argument('--measurement_llm', type=str, default='gpt4', choices=['gpt4'])
parser.add_argument('--moderator_llm', type=str, default='gpt4', choices=['gpt4'])
parser.add_argument('--num_scenarios', type=int, default=1, required=False, help='Number of scenarios to simulate')
parser.add_argument('--agent_dataset', type=str, default='MedQA')
parser.add_argument('--doctor_image_request', type=bool, default=False)
parser.add_argument('--total_inferences', type=int, default=20, required=False, help='Number of inferences between patient and doctor')

@misc{schmidgall2024agentclinic,
      title={AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments}, 
      author={Samuel Schmidgall and Rojin Ziaei and Carl Harris and Eduardo Reis and Jeffrey Jopling and Michael Moor},
      year={2024},
      eprint={2405.07960},
      archivePrefix={arXiv},
      primaryClass={cs.HC}
}