""" Example 3: Business Strategy Debate with Custom Configuration This example demonstrates a business strategy debate with custom agent configurations, multiple rounds, and accessing conversation history. """ from swarms import Agent, DebateWithJudge # Create business strategy agents with detailed expertise pro_agent = Agent( agent_name="Growth-Strategy-Pro", system_prompt=( "You are a business strategy consultant specializing in aggressive growth strategies. " "You argue in favor of rapid expansion, market penetration, and scaling. " "You present arguments focusing on first-mover advantages, market share capture, " "network effects, and competitive positioning. You use case studies from " "successful companies like Amazon, Uber, and Airbnb to support your position." ), model_name="gpt-4o-mini", max_loops=1, ) con_agent = Agent( agent_name="Sustainable-Growth-Pro", system_prompt=( "You are a business strategy consultant specializing in sustainable, profitable growth. " "You argue against aggressive expansion in favor of measured, sustainable growth. " "You present counter-arguments focusing on profitability, unit economics, " "sustainable competitive advantages, and avoiding overextension. You identify " "weaknesses in 'growth at all costs' approaches and provide compelling alternatives " "based on companies like Apple, Microsoft, and Berkshire Hathaway." ), model_name="gpt-4o-mini", max_loops=1, ) judge_agent = Agent( agent_name="Strategy-Judge", system_prompt=( "You are a seasoned business strategist and former CEO evaluating growth strategy debates. " "You carefully analyze arguments from both sides, considering factors like: " "- Market conditions and competitive landscape\n" "- Company resources and capabilities\n" "- Risk tolerance and financial position\n" "- Long-term sustainability vs. short-term growth\n" "- Industry-specific dynamics\n\n" "You provide balanced synthesis that incorporates the best elements from both arguments, " "considering context-specific factors. You may recommend a hybrid approach when appropriate." ), model_name="gpt-4o-mini", max_loops=1, ) # Create the debate system with extended rounds for complex strategy discussions strategy_debate = DebateWithJudge( pro_agent=pro_agent, con_agent=con_agent, judge_agent=judge_agent, max_rounds=4, # More rounds for complex strategic discussions output_type="dict", # Use dict format for structured analysis verbose=True, ) # Define a complex business strategy question strategy_question = ( "A SaaS startup with $2M ARR, 40% gross margins, and $500K in the bank " "is considering two paths:\n" "1. Aggressive growth: Raise $10M, hire 50 people, expand to 5 new markets\n" "2. Sustainable growth: Focus on profitability, improve unit economics, " "expand gradually with existing resources\n\n" "Which strategy should they pursue? Consider market conditions, competitive " "landscape, and long-term viability." ) # Run the debate result = strategy_debate.run(task=strategy_question) print(result) # Get the full conversation history for detailed analysis history = strategy_debate.get_conversation_history() print(history) # Get the final refined answer final_answer = strategy_debate.get_final_answer() print(final_answer)