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swarms/tests/structs/multiagentrouter_models_tes...

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from swarms.structs.agent import Agent
from swarms.structs.multi_agent_router import MultiAgentRouter
# Example usage:
agents = [
Agent(
agent_name="ResearchAgent",
agent_description="Specializes in researching topics and providing detailed, factual information",
system_prompt="You are a research specialist. Provide detailed, well-researched information about any topic, citing sources when possible.",
max_loops=1,
),
Agent(
agent_name="CodeExpertAgent",
agent_description="Expert in writing, reviewing, and explaining code across multiple programming languages",
system_prompt="You are a coding expert. Write, review, and explain code with a focus on best practices and clean code principles.",
max_loops=1,
),
Agent(
agent_name="WritingAgent",
agent_description="Skilled in creative and technical writing, content creation, and editing",
system_prompt="You are a writing specialist. Create, edit, and improve written content while maintaining appropriate tone and style.",
max_loops=1,
),
]
models_to_test = [
"gpt-4.1",
"gpt-4o",
"gpt-5-mini",
"o4-mini",
"o3",
"claude-opus-4-20250514",
"claude-sonnet-4-20250514",
"claude-3-7-sonnet-20250219",
"gemini/gemini-2.5-flash",
"gemini/gemini-2.5-pro",
]
task = "Use all the agents available to you to remake the Fibonacci function in Python, providing both an explanation and code."
model_logs = []
for model_name in models_to_test:
print(f"\n--- Testing model: {model_name} ---")
router_execute = MultiAgentRouter(
agents=agents,
temperature=0.5,
model=model_name,
)
try:
result = router_execute.run(task)
print(f"Run completed successfully for {model_name}")
model_logs.append(
{"model": model_name, "status": "✅ Success"}
)
except Exception as e:
print(f"An error occurred for {model_name}")
model_logs.append(
{"model": model_name, "status": f"❌ Error: {e}"}
)
print("\n===== Model Run Summary =====")
for log in model_logs:
print(f"{log['model']}: {log['status']}")