example cleaanup

dependabot/pip/pypdf-5.6.0
Kye Gomez 1 week ago
parent 181060e3ed
commit 73597f1c35

@ -1,62 +0,0 @@
import os
import litellm
import json
from dotenv import load_dotenv
load_dotenv()
# Example dummy function hard coded to return the same weather
# In production, this could be your backend API or an external API
def get_current_weather(location, unit="fahrenheit"):
"""Get the current weather in a given location"""
if "tokyo" in location.lower():
return json.dumps({"location": "Tokyo", "temperature": "10", "unit": "celsius"})
elif "san francisco" in location.lower():
return json.dumps({"location": "San Francisco", "temperature": "72", "unit": "fahrenheit"})
elif "paris" in location.lower():
return json.dumps({"location": "Paris", "temperature": "22", "unit": "celsius"})
else:
return json.dumps({"location": location, "temperature": "unknown"})
def test_parallel_function_call():
try:
# Step 1: send the conversation and available functions to the model
messages = [{"role": "user", "content": "What's the weather like in San Francisco, Tokyo, and Paris?"}]
tools = [
{
"type": "function",
"function": {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA",
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
},
"required": ["location"],
},
},
}
]
response = litellm.completion(
model="gpt-4o-mini",
messages=messages,
tools=tools,
tool_choice="auto", # auto is default, but we'll be explicit
api_key=os.getenv("OPENAI_API_KEY"),
)
# print("\nFirst LLM Response:\n", response)
# response_message = response.choices[0].message
# tool_calls = response_message.tool_calls
# print(tool_calls)
print(response.model_dump_json(indent=4))
except Exception as e:
print(f"Error occurred: {e}")
test_parallel_function_call()

@ -1,8 +1,9 @@
from mcp.server.fastmcp import FastMCP
import requests
mcp = FastMCP("okx_crypto_server", str)
mcp = FastMCP("OKXCryptoPrice")
mcp.settings.port = 8001
@mcp.tool(
name="get_okx_crypto_price",
@ -114,4 +115,5 @@ def get_okx_crypto_volume(symbol: str) -> str:
if __name__ == "__main__":
mcp.run(transport="sse")
# Run the server on port 8000 (you can change this to any available port)
mcp.run(transport="sse")

@ -1,119 +0,0 @@
from mcp.server.fastmcp import FastMCP
import requests
mcp = FastMCP("OKXCryptoPrice")
mcp.settings.port = 8001
@mcp.tool(
name="get_okx_crypto_price",
description="Get the current price and basic information for a given cryptocurrency from OKX exchange.",
)
def get_okx_crypto_price(symbol: str) -> str:
"""
Get the current price and basic information for a given cryptocurrency using OKX API.
Args:
symbol (str): The cryptocurrency trading pair (e.g., 'BTC-USDT', 'ETH-USDT')
Returns:
str: A formatted string containing the cryptocurrency information
Example:
>>> get_okx_crypto_price('BTC-USDT')
'Current price of BTC/USDT: $45,000'
"""
try:
if not symbol:
return "Please provide a valid trading pair (e.g., 'BTC-USDT')"
# Convert to uppercase and ensure proper format
symbol = symbol.upper()
if not symbol.endswith("-USDT"):
symbol = f"{symbol}-USDT"
# OKX API endpoint for ticker information
url = f"https://www.okx.com/api/v5/market/ticker?instId={symbol}"
# Make the API request
response = requests.get(url)
response.raise_for_status()
data = response.json()
if data.get("code") != "0":
return f"Error: {data.get('msg', 'Unknown error')}"
ticker_data = data.get("data", [{}])[0]
if not ticker_data:
return f"Could not find data for {symbol}. Please check the trading pair."
price = float(ticker_data.get("last", 0))
change_24h = float(ticker_data.get("last24h", 0))
change_percent = float(ticker_data.get("change24h", 0))
base_currency = symbol.split("-")[0]
return f"Current price of {base_currency}/USDT: ${price:,.2f}\n24h Change: {change_percent:.2f}%"
except requests.exceptions.RequestException as e:
return f"Error fetching OKX data: {str(e)}"
except Exception as e:
return f"Error: {str(e)}"
@mcp.tool(
name="get_okx_crypto_volume",
description="Get the 24-hour trading volume for a given cryptocurrency from OKX exchange.",
)
def get_okx_crypto_volume(symbol: str) -> str:
"""
Get the 24-hour trading volume for a given cryptocurrency using OKX API.
Args:
symbol (str): The cryptocurrency trading pair (e.g., 'BTC-USDT', 'ETH-USDT')
Returns:
str: A formatted string containing the trading volume information
Example:
>>> get_okx_crypto_volume('BTC-USDT')
'24h Trading Volume for BTC/USDT: $1,234,567'
"""
try:
if not symbol:
return "Please provide a valid trading pair (e.g., 'BTC-USDT')"
# Convert to uppercase and ensure proper format
symbol = symbol.upper()
if not symbol.endswith("-USDT"):
symbol = f"{symbol}-USDT"
# OKX API endpoint for ticker information
url = f"https://www.okx.com/api/v5/market/ticker?instId={symbol}"
# Make the API request
response = requests.get(url)
response.raise_for_status()
data = response.json()
if data.get("code") != "0":
return f"Error: {data.get('msg', 'Unknown error')}"
ticker_data = data.get("data", [{}])[0]
if not ticker_data:
return f"Could not find data for {symbol}. Please check the trading pair."
volume_24h = float(ticker_data.get("vol24h", 0))
base_currency = symbol.split("-")[0]
return f"24h Trading Volume for {base_currency}/USDT: ${volume_24h:,.2f}"
except requests.exceptions.RequestException as e:
return f"Error fetching OKX data: {str(e)}"
except Exception as e:
return f"Error: {str(e)}"
if __name__ == "__main__":
# Run the server on port 8000 (you can change this to any available port)
mcp.run(transport="sse")
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