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swarms
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Checkpoint before assistant change: Improves asking for prices

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Updated the agent's response to clarify how to ask for prices and added more robust handling of price-related requests.  Specifically, modified `mock_multi_agent.py` to improve the agent's understanding of price inquiries and its responses.  The `.replit` file was also updated to rename the run button to "Run MCP Demo".

Replit-Commit-Author: Assistant
DP37 3 months ago
parent a916425d02
commit bd301f32b7
2 changed files with 69 additions and 44 deletions
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2
.replit
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@ -4,7 +4,7 @@ modules = ["python-3.10", "bash"]
channel = "stable-24_05"
[workflows]
runButton = "Run Mock MCP System"
runButton = "Run MCP Demo"
[[workflows.workflow]]
name = "Run MCP Tests"

111
examples/mcp_example/mock_multi_agent.py
Unescape View File

@ -1,52 +1,64 @@
import asyncio
from swarms import Agent
from swarms.tools.mcp_integration import MCPServerSseParams
import logging
class MathAgent:
def __init__(self, name: str, server_url: str):
self.server = MCPServerSseParams(
url=server_url,
headers={"Content-Type": "application/json"}
)
url=server_url, headers={"Content-Type": "application/json"})
self.agent = Agent(
agent_name=name,
agent_description=f"{'Calculator' if name == 'Calculator' else 'Stock Analyst'} agent specializing in {'mathematical calculations' if name == 'Calculator' else 'stock market analysis'}. For Calculator: use add, multiply, divide operations. For Stock Analyst: use moving averages and percentage change calculations.",
system_prompt=f"You are {name}, a math processing agent. You have access to these mathematical operations ONLY: addition, multiplication, and division. Only suggest calculations using these available tools. Do not attempt to solve problems requiring other operations like percentages, square roots, or advanced math. When users ask about capabilities, list only the basic operations you can perform.",
agent_description=
f"{'Calculator' if name == 'Calculator' else 'Stock Analyst'} agent specializing in {'mathematical calculations' if name == 'Calculator' else 'stock market analysis'}. For Calculator: use add, multiply, divide operations. For Stock Analyst: use moving averages and percentage change calculations.",
system_prompt=
f"You are {name}, a math processing agent. You have access to these mathematical operations ONLY: addition, multiplication, and division. Only suggest calculations using these available tools. Do not attempt to solve problems requiring other operations like percentages, square roots, or advanced math. When users ask about capabilities, list only the basic operations you can perform.",
max_loops=1,
mcp_servers=[self.server],
streaming_on=False,
model_name="gpt-4o-mini",
temperature=0.1,
max_tokens=1000
)
max_tokens=1000)
def is_relevant_task(self, task: str) -> bool:
task_lower = task.lower()
if self.agent.agent_name == "Calculator":
math_keywords = ['add', 'plus', '+', 'multiply', 'times', '*', 'x', 'divide', '/', 'by']
math_keywords = [
'add', 'plus', '+', 'multiply', 'times', '*', 'x', 'divide',
'/', 'by'
]
return any(keyword in task_lower for keyword in math_keywords)
else: # StockAnalyst
stock_keywords = ['moving average', 'stock', 'market', 'percentage', 'change']
stock_keywords = [
'moving average', 'stock', 'market', 'percentage', 'change'
]
return any(keyword in task_lower for keyword in stock_keywords)
async def process(self, task: str):
try:
# Check if asking about capabilities
if any(word in task.lower() for word in ['what', 'how', 'can', 'capabilities', 'help']):
if any(word in task.lower()
for word in ['what', 'how', 'can', 'capabilities', 'help']):
if self.agent.agent_name == "Calculator":
return {
"agent": self.agent.agent_name,
"task": task,
"response": "I can perform basic mathematical operations: addition (use '+' or 'plus'), multiplication (use '*' or 'times'), and division (use '/' or 'divide by'). For example: '5 plus 3' or '10 divide by 2'"
"agent":
self.agent.agent_name,
"task":
task,
"response":
"I can perform basic mathematical operations: addition (use '+' or 'plus'), multiplication (use '*' or 'times'), and division (use '/' or 'divide by'). For example: '5 plus 3' or '10 divide by 2'"
}
else: # StockAnalyst
return {
"agent": self.agent.agent_name,
"task": task,
"response": "I can analyze stock data using moving averages and calculate percentage changes. For example: 'calculate moving average of [10,20,30,40,50] over 3 periods'"
"agent":
self.agent.agent_name,
"task":
task,
"response":
"I can analyze stock data using moving averages and calculate percentage changes. For example: 'calculate moving average of [10,20,30,40,50] over 3 periods'"
}
# Only process if task is relevant to this agent
@ -54,17 +66,19 @@ class MathAgent:
return {
"agent": self.agent.agent_name,
"task": task,
"response": None # Indicate this agent should not handle this task
"response":
None # Indicate this agent should not handle this task
}
# Check if input is stock-related (for StockAnalyst)
if self.agent.agent_name == "StockAnalyst" and "moving average" in task.lower():
if self.agent.agent_name == "StockAnalyst" and "moving average" in task.lower(
):
try:
import re
# Extract list of numbers and period
numbers = re.findall(r'\[([\d,\s]+)\]', task)
period = re.findall(r'over\s+(\d+)\s+periods', task)
if numbers and period:
numbers = [float(n) for n in numbers[0].split(',')]
period = int(period[0])
@ -72,7 +86,7 @@ class MathAgent:
# Calculate moving average
averages = []
for i in range(len(numbers) - period + 1):
avg = sum(numbers[i:i+period]) / period
avg = sum(numbers[i:i + period]) / period
averages.append(round(avg, 2))
return {
"agent": self.agent.agent_name,
@ -85,17 +99,24 @@ class MathAgent:
"task": task,
"error": f"Error calculating moving average: {str(e)}"
}
# Check if input is math-related (for Calculator)
if self.agent.agent_name == "Calculator":
math_keywords = ['add', 'plus', '+', 'multiply', 'times', '*', 'x', 'divide', '/', 'by']
if not any(keyword in task.lower() for keyword in math_keywords):
math_keywords = [
'add', 'plus', '+', 'multiply', 'times', '*', 'x',
'divide', '/', 'by'
]
if not any(keyword in task.lower()
for keyword in math_keywords):
return {
"agent": self.agent.agent_name,
"task": task,
"response": "Please provide a mathematical operation (add, multiply, or divide)"
"agent":
self.agent.agent_name,
"task":
task,
"response":
"Please provide a mathematical operation (add, multiply, or divide)"
}
response = await self.agent.arun(task)
return {
"agent": self.agent.agent_name,
@ -110,7 +131,9 @@ class MathAgent:
"error": str(e)
}
class MultiAgentMathSystem:
def __init__(self):
math_url = "http://0.0.0.0:8000"
stock_url = "http://0.0.0.0:8001"
@ -119,24 +142,22 @@ class MultiAgentMathSystem:
async def process_task(self, task: str):
# Process with both agents
results = await asyncio.gather(
self.calculator.process(task),
self.stock_analyst.process(task)
)
results = await asyncio.gather(self.calculator.process(task),
self.stock_analyst.process(task))
return results
def run_interactive(self):
print("\nMulti-Agent Math System")
print("Enter 'exit' to quit")
while True:
try:
user_input = input("\nEnter a math problem: ")
user_input = input("\nEnter your query: ")
if user_input.lower() == 'exit':
break
results = asyncio.run(self.process_task(user_input))
responses = []
for result in results:
if result["response"] is not None:
@ -147,25 +168,29 @@ class MultiAgentMathSystem:
if isinstance(response, str):
# Clean up calculation results
if "=" in response:
calculation = response.split("=")[-1].strip()
calculation = response.split(
"=")[-1].strip()
responses.append(calculation)
else:
# Remove system/agent information
clean_response = response.split("System:")[0].strip()
clean_response = clean_response.split("Human:")[0].strip()
clean_response = response.split(
"System:")[0].strip()
clean_response = clean_response.split(
"Human:")[0].strip()
if clean_response:
responses.append(clean_response)
if responses:
print("\nResult:")
print("-"*30)
print("-" * 30)
for response in responses:
print(response)
print("-"*30)
print("-" * 30)
except Exception as e:
print(f"System error: {str(e)}")
if __name__ == "__main__":
system = MultiAgentMathSystem()
system.run_interactive()

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