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76 lines
2.3 KiB
76 lines
2.3 KiB
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import pytest
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from swarms.tools.mcp_integration import MCPServerSseParams
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from swarms import Agent
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from swarms.prompts.finance_agent_sys_prompt import FINANCIAL_AGENT_SYS_PROMPT
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def test_interactive_multi_agent_mcp():
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# Configure two MCP servers
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server_one = MCPServerSseParams(
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url="http://0.0.0.0:6274",
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headers={"Content-Type": "application/json"}
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)
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server_two = MCPServerSseParams(
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url="http://0.0.0.0:6275",
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headers={"Content-Type": "application/json"}
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)
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# Create two agents with different roles
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finance_agent = Agent(
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agent_name="Finance-Agent",
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agent_description="Financial analysis expert",
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system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
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max_loops=1,
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mcp_servers=[server_one],
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interactive=True,
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streaming_on=True
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)
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research_agent = Agent(
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agent_name="Research-Agent",
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agent_description="Market research specialist",
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system_prompt="You are a market research specialist. Analyze market trends and provide insights.",
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max_loops=1,
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mcp_servers=[server_two],
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interactive=True,
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streaming_on=True
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)
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try:
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# Interactive loop
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while True:
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# Get user input for which agent to use
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print("\nWhich agent would you like to interact with?")
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print("1. Finance Agent")
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print("2. Research Agent")
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print("3. Exit")
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choice = input("Enter your choice (1-3): ")
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if choice == "3":
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break
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# Get the task from user
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task = input("\nEnter your task for the agent: ")
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# Route to appropriate agent
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if choice == "1":
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response = finance_agent.run(task)
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print(f"\nFinance Agent Response:\n{response}")
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elif choice == "2":
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response = research_agent.run(task)
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print(f"\nResearch Agent Response:\n{response}")
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else:
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print("Invalid choice, please try again")
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except Exception as e:
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pytest.fail(f"Interactive multi-agent test failed: {e}")
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def test_mcp_invalid_params():
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with pytest.raises(Exception):
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mcp_flow(None, {})
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if __name__ == "__main__":
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test_interactive_multi_agent_mcp()
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