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79 lines
2.3 KiB
79 lines
2.3 KiB
import os
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from swarms import Agent
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from swarms.tools.mcp_integration import MCPServerSseParams
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from swarms.prompts.agent_prompts import MATH_AGENT_PROMPT
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from loguru import logger
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# Set OpenAI API key
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def initialize_math_system():
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"""Initialize the math agent with MCP server configuration."""
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# Configure MCP server connection with SSE transport
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math_server = MCPServerSseParams(
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url="http://localhost:8000",
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headers={
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"Content-Type": "application/json",
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"Accept": "text/event-stream"
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},
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timeout=5.0,
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sse_read_timeout=30.0)
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# Initialize math agent with specific model
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math_agent = Agent(
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agent_name="Math Agent",
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agent_description="Basic math calculator",
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system_prompt=MATH_AGENT_PROMPT,
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max_loops=1,
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mcp_servers=[math_server],
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streaming_on=False,
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model_name="gpt-4o-mini",
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temperature=0.1)
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return math_agent
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def process_query(math_agent, query):
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"""Process a single math query."""
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try:
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result = math_agent.run(query)
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# Clean up the result to show only the number or error message
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if isinstance(result, (int, float)):
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return result
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elif "error" in result.lower():
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return result
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else:
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# Try to extract just the number from the result
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try:
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return float(result)
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except:
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return "Error: Invalid result format"
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except Exception as e:
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return f"Error: {str(e)}"
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def main():
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# Initialize the math system
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math_agent = initialize_math_system()
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print("\nMath Calculator Ready!")
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print("Available operations: add, multiply, divide")
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print("Example: 'add 5 and 3' or 'multiply 4 by 6'")
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print("Type 'exit' to quit\n")
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while True:
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try:
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query = input("Enter math operation: ").strip()
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if not query:
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continue
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if query.lower() == 'exit':
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break
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result = process_query(math_agent, query)
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print(f"Result: {result}")
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except KeyboardInterrupt:
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print("\nExiting...")
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break
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except Exception as e:
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print(f"Error: {e}")
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if __name__ == "__main__":
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main()
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