Debate Swarm Quickstart

Agent A (Pro) ↔ Agent B (Con)
      │            │
      ▼            ▼
   Judge / Critic Agent
      │
      ▼
Winner or synthesis → refined answer

pip install swarms

from swarms import DebateWithJudge

# Create debate system with preset optimized agents
debate = DebateWithJudge(
    preset_agents=True,      # Use built-in optimized agents
    max_loops=3,             # 3 rounds of debate
    model_name="gpt-5.4",
    verbose=True
)

# Define the debate topic
topic = "Should artificial intelligence be regulated by governments?"

# Run the debate
result = debate.run(task=topic)

# Print the refined answer
print(result)

# Or get just the final synthesis
final_answer = debate.get_final_answer()
print(final_answer)

from swarms import DebateWithJudge

# Step 1: Create the debate system with preset agents
debate_system = DebateWithJudge(
    preset_agents=True,
    max_loops=3,
    model_name="gpt-5.4",
    output_type="str-all-except-first",
    verbose=True,
)

# Step 2: Define a complex topic
topic = (
    "Should artificial intelligence be regulated by governments? "
    "Discuss the balance between innovation and safety."
)

# Step 3: Run the debate and get refined answer
result = debate_system.run(task=topic)

print("=" * 60)
print("DEBATE RESULT:")
print("=" * 60)
print(result)

# Access conversation history for detailed analysis
history = debate_system.get_conversation_history()
print(f"\nTotal exchanges: {len(history)}")

from swarms import Agent, DebateWithJudge

# Create specialized Pro agent
pro_agent = Agent(
    agent_name="Innovation-Advocate",
    system_prompt=(
        "You are a technology policy expert arguing for innovation and minimal regulation. "
        "You present arguments focusing on economic growth, technological competitiveness, "
        "and the risks of over-regulation stifling progress."
    ),
    model_name="gpt-5.4",
    max_loops=1,
)

# Create specialized Con agent
con_agent = Agent(
    agent_name="Safety-Advocate",
    system_prompt=(
        "You are a technology policy expert arguing for strong AI safety regulations. "
        "You present arguments focusing on public safety, ethical considerations, "
        "and the need for government oversight of powerful technologies."
    ),
    model_name="gpt-5.4",
    max_loops=1,
)

# Create specialized Judge agent
judge_agent = Agent(
    agent_name="Policy-Analyst",
    system_prompt=(
        "You are an impartial policy analyst evaluating technology regulation debates. "
        "You synthesize the strongest arguments from both sides and provide "
        "balanced, actionable policy recommendations."
    ),
    model_name="gpt-5.4",
    max_loops=1,
)

# Create debate system with custom agents
debate = DebateWithJudge(
    agents=[pro_agent, con_agent, judge_agent],  # Pass as list
    max_loops=3,
    verbose=True,
)

result = debate.run("Should AI-generated content require mandatory disclosure labels?")

from swarms import DebateWithJudge

debate = DebateWithJudge(preset_agents=True, max_loops=2)

# Multiple topics to debate
topics = [
    "Should remote work become the standard for knowledge workers?",
    "Is cryptocurrency a viable alternative to traditional banking?",
    "Should social media platforms be held accountable for content moderation?",
]

# Process all topics
results = debate.batched_run(topics)

for topic, result in zip(topics, results):
    print(f"\nTopic: {topic}")
    print(f"Result: {result[:200]}...")