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swarms/examples/mcp_example/test_integration.py

89 lines
2.8 KiB

from swarms import Agent
from swarms.prompts.finance_agent_sys_prompt import FINANCIAL_AGENT_SYS_PROMPT
from swarms.tools.mcp_integration import MCPServerSseParams
import logging
import time
def setup_agent(name: str, description: str, servers: list) -> Agent:
"""Setup an agent with MCP server connections"""
return Agent(
agent_name=name,
agent_description=description,
system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
max_loops=1,
mcp_servers=servers,
streaming_on=True
)
def main():
# Configure MCP server connections
math_server = MCPServerSseParams(
url="http://0.0.0.0:6274",
headers={"Content-Type": "application/json"},
timeout=10.0
)
calc_server = MCPServerSseParams(
url="http://0.0.0.0:6275",
headers={"Content-Type": "application/json"},
timeout=10.0
)
# Initialize specialized agents
coordinator = setup_agent(
"Coordinator",
"Analyzes tasks and coordinates between specialized agents",
[math_server, calc_server]
)
math_agent = setup_agent(
"Math-Agent",
"Handles mathematical calculations",
[math_server]
)
business_agent = setup_agent(
"Business-Agent",
"Handles business calculations",
[calc_server]
)
print("\nMulti-Agent MCP Test Environment")
print("Type 'exit' to quit\n")
while True:
try:
user_input = input("\nEnter your request (or Ctrl+C to exit): ")
except KeyboardInterrupt:
print("\nExiting gracefully...")
break
if user_input.lower() == 'exit':
break
# Coordinator analyzes task
print("\nCoordinator analyzing task...")
coordinator_response = coordinator.run(
f"Analyze this task and determine required calculations: {user_input}"
)
print(f"\nCoordinator's plan: {coordinator_response}")
# Route to appropriate agent(s)
if "profit" in user_input.lower() or "margin" in user_input.lower():
print("\nRouting to Business Agent...")
result = business_agent.run(user_input)
print(f"\nBusiness calculation result: {result}")
if any(op in user_input.lower() for op in ['add', 'subtract', 'multiply', 'divide']):
print("\nRouting to Math Agent...")
result = math_agent.run(user_input)
print(f"\nMath calculation result: {result}")
except Exception as e:
print(f"Error processing request: {e}")
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
main()