Pavan Kumar
3 months ago
committed by
ascender1729
parent
a612352abd
commit
f61ada7928
@ -1,83 +1,84 @@
|
||||
from swarms import Agent
|
||||
from swarms.tools.mcp_integration import MCPServerSseParams
|
||||
from loguru import logger
|
||||
|
||||
# Comprehensive math prompt that encourages proper JSON formatting
|
||||
MATH_AGENT_PROMPT = """
|
||||
You are a helpful math calculator assistant.
|
||||
|
||||
Your role is to understand natural language math requests and perform calculations.
|
||||
When asked to perform calculations:
|
||||
|
||||
1. Determine the operation (add, multiply, or divide)
|
||||
2. Extract the numbers from the request
|
||||
3. Use the appropriate math operation tool
|
||||
|
||||
FORMAT YOUR TOOL CALLS AS JSON with this format:
|
||||
{"tool_name": "add", "a": <first_number>, "b": <second_number>}
|
||||
or
|
||||
{"tool_name": "multiply", "a": <first_number>, "b": <second_number>}
|
||||
or
|
||||
{"tool_name": "divide", "a": <first_number>, "b": <second_number>}
|
||||
|
||||
Always respond with a tool call in JSON format first, followed by a brief explanation.
|
||||
"""
|
||||
|
||||
def initialize_math_system():
|
||||
"""Initialize the math agent with MCP server configuration."""
|
||||
# Configure the MCP server connection
|
||||
math_server = MCPServerSseParams(
|
||||
url="http://0.0.0.0:8000",
|
||||
headers={"Content-Type": "application/json"},
|
||||
timeout=5.0,
|
||||
sse_read_timeout=30.0
|
||||
)
|
||||
|
||||
# Create the agent with the MCP server configuration
|
||||
math_agent = Agent(
|
||||
agent_name="Math Assistant",
|
||||
agent_description="Friendly math calculator",
|
||||
system_prompt=MATH_AGENT_PROMPT,
|
||||
max_loops=1,
|
||||
mcp_servers=[math_server], # Pass MCP server config as a list
|
||||
model_name="gpt-3.5-turbo",
|
||||
verbose=True # Enable verbose mode to see more details
|
||||
)
|
||||
|
||||
return math_agent
|
||||
|
||||
def main():
|
||||
|
||||
from swarms import Agent
|
||||
from swarms.tools.mcp_integration import MCPServerSseParams
|
||||
from loguru import logger
|
||||
|
||||
# Comprehensive math prompt that encourages proper JSON formatting
|
||||
MATH_AGENT_PROMPT = """
|
||||
You are a helpful math calculator assistant.
|
||||
|
||||
Your role is to understand natural language math requests and perform calculations.
|
||||
When asked to perform calculations:
|
||||
|
||||
1. Determine the operation (add, multiply, or divide)
|
||||
2. Extract the numbers from the request
|
||||
3. Use the appropriate math operation tool
|
||||
|
||||
FORMAT YOUR TOOL CALLS AS JSON with this format:
|
||||
{"tool_name": "add", "a": <first_number>, "b": <second_number>}
|
||||
or
|
||||
{"tool_name": "multiply", "a": <first_number>, "b": <second_number>}
|
||||
or
|
||||
{"tool_name": "divide", "a": <first_number>, "b": <second_number>}
|
||||
|
||||
Always respond with a tool call in JSON format first, followed by a brief explanation.
|
||||
"""
|
||||
|
||||
def initialize_math_system():
|
||||
"""Initialize the math agent with MCP server configuration."""
|
||||
# Configure the MCP server connection
|
||||
math_server = MCPServerSseParams(
|
||||
url="http://0.0.0.0:8000",
|
||||
headers={"Content-Type": "application/json"},
|
||||
timeout=5.0,
|
||||
sse_read_timeout=30.0
|
||||
)
|
||||
|
||||
# Create the agent with the MCP server configuration
|
||||
math_agent = Agent(
|
||||
agent_name="Math Assistant",
|
||||
agent_description="Friendly math calculator",
|
||||
system_prompt=MATH_AGENT_PROMPT,
|
||||
max_loops=1,
|
||||
mcp_servers=[math_server], # Pass MCP server config as a list
|
||||
model_name="gpt-3.5-turbo",
|
||||
verbose=True # Enable verbose mode to see more details
|
||||
)
|
||||
|
||||
return math_agent
|
||||
|
||||
def main():
|
||||
try:
|
||||
logger.info("Initializing math system...")
|
||||
math_agent = initialize_math_system()
|
||||
|
||||
print("\nMath Calculator Ready!")
|
||||
print("Ask me any math question!")
|
||||
print("Examples: 'what is 5 plus 3?' or 'can you multiply 4 and 6?'")
|
||||
print("Type 'exit' to quit\n")
|
||||
|
||||
while True:
|
||||
try:
|
||||
logger.info("Initializing math system...")
|
||||
math_agent = initialize_math_system()
|
||||
|
||||
print("\nMath Calculator Ready!")
|
||||
print("Ask me any math question!")
|
||||
print("Examples: 'what is 5 plus 3?' or 'can you multiply 4 and 6?'")
|
||||
print("Type 'exit' to quit\n")
|
||||
|
||||
while True:
|
||||
try:
|
||||
query = input("What would you like to calculate? ").strip()
|
||||
if not query:
|
||||
continue
|
||||
if query.lower() == 'exit':
|
||||
break
|
||||
|
||||
logger.info(f"Processing query: {query}")
|
||||
result = math_agent.run(query)
|
||||
print(f"\nResult: {result}\n")
|
||||
|
||||
except KeyboardInterrupt:
|
||||
print("\nGoodbye!")
|
||||
break
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing query: {e}")
|
||||
print(f"Sorry, there was an error: {str(e)}")
|
||||
query = input("What would you like to calculate? ").strip()
|
||||
if not query:
|
||||
continue
|
||||
if query.lower() == 'exit':
|
||||
break
|
||||
|
||||
logger.info(f"Processing query: {query}")
|
||||
result = math_agent.run(query)
|
||||
print(f"\nResult: {result}\n")
|
||||
|
||||
except KeyboardInterrupt:
|
||||
print("\nGoodbye!")
|
||||
break
|
||||
except Exception as e:
|
||||
logger.error(f"System initialization error: {e}")
|
||||
print(f"Failed to start the math system: {str(e)}")
|
||||
logger.error(f"Error processing query: {e}")
|
||||
print(f"Sorry, there was an error: {str(e)}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"System initialization error: {e}")
|
||||
print(f"Failed to start the math system: {str(e)}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
||||
Loading…
Reference in new issue