from swarms import Agent from swarms.structs.multi_agent_debates import ExpertPanelDiscussion # Initialize expert agents cardiologist = Agent( agent_name="Cardiologist", agent_description="Expert cardiologist specializing in advanced heart failure", system_prompt="""You are a leading cardiologist with expertise in: - Advanced heart failure management - Cardiac device therapy - Preventive cardiology - Clinical research in cardiovascular medicine Provide expert insights on cardiac care, treatment protocols, and research developments.""", model_name="claude-3-sonnet-20240229", ) oncologist = Agent( agent_name="Oncologist", agent_description="Oncologist specializing in cardio-oncology", system_prompt="""You are an experienced oncologist focusing on: - Cardio-oncology - Cancer treatment cardiotoxicity - Preventive strategies for cancer therapy cardiac complications - Integration of cancer and cardiac care Provide expert perspectives on managing cancer treatment while protecting cardiac health.""", model_name="claude-3-sonnet-20240229", ) pharmacologist = Agent( agent_name="Clinical-Pharmacologist", agent_description="Clinical pharmacologist specializing in cardiovascular medications", system_prompt="""You are a clinical pharmacologist expert in: - Cardiovascular drug interactions - Medication optimization - Drug safety in cardiac patients - Personalized medicine approaches Provide insights on medication management and drug safety.""", model_name="claude-3-sonnet-20240229", ) moderator = Agent( agent_name="Medical-Panel-Moderator", agent_description="Experienced medical conference moderator", system_prompt="""You are a skilled medical panel moderator who: - Guides discussions effectively - Ensures balanced participation - Maintains focus on key topics - Synthesizes expert insights Guide the panel discussion professionally while drawing out key insights.""", model_name="claude-3-sonnet-20240229", ) # Initialize the panel discussion panel = ExpertPanelDiscussion( max_rounds=3, agents=[cardiologist, oncologist, pharmacologist], moderator=moderator, output_type="str-all-except-first", ) # Run the panel discussion on a specific case discussion_topic = """ Case Discussion: 56-year-old female with HER2-positive breast cancer requiring trastuzumab therapy, with pre-existing mild left ventricular dysfunction (LVEF 45%). Key questions: 1. Risk assessment for cardiotoxicity 2. Monitoring strategy during cancer treatment 3. Preventive cardiac measures 4. Medication management approach """ # Execute the panel discussion panel_output = panel.run(discussion_topic) print(panel_output)