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"""
Simple tool-calling chat with ExCom AI
Works around vLLM's tool_choice requirements
"""
from openai import OpenAI
import json
from datetime import datetime
import math
# Configure OpenAI client for your vLLM endpoint
client = OpenAI(
base_url="https://plarnholt-excom-ai-demo.hf.space/v1",
api_key="not-needed"
)
# Define tools
tools = [
{
"type": "function",
"function": {
"name": "calculator",
"description": "Evaluates a mathematical expression",
"parameters": {
"type": "object",
"properties": {
"expression": {
"type": "string",
"description": "Math expression to evaluate, e.g., '2 + 2 * 3'"
}
},
"required": ["expression"]
}
}
},
{
"type": "function",
"function": {
"name": "get_current_time",
"description": "Returns the current date and time",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Gets the weather for a city (simulated)",
"parameters": {
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "City name"
}
},
"required": ["city"]
}
}
},
{
"type": "function",
"function": {
"name": "word_counter",
"description": "Counts the number of words in the given text",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Text to count words in"
}
},
"required": ["text"]
}
}
},
{
"type": "function",
"function": {
"name": "reverse_text",
"description": "Reverses the given text",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "Text to reverse"
}
},
"required": ["text"]
}
}
}
]
# Tool implementations
def calculator(expression: str) -> str:
"""Evaluates a mathematical expression"""
try:
result = eval(expression, {"__builtins__": {}, "math": math})
return str(result)
except Exception as e:
return f"Error: {str(e)}"
def get_current_time() -> str:
"""Returns the current date and time"""
return datetime.now().strftime("%Y-%m-%d %H:%M:%S")
def get_weather(city: str) -> str:
"""Gets simulated weather for a city"""
weather_data = {
"paris": "18°C, sunny",
"london": "15°C, cloudy",
"new york": "22°C, partly cloudy",
"tokyo": "25°C, clear",
"berlin": "16°C, rainy",
"sydney": "23°C, sunny",
"mumbai": "30°C, hot and humid",
"toronto": "12°C, cool",
}
return weather_data.get(city.lower(), f"Weather data not available for {city}")
def word_counter(text: str) -> str:
"""Counts words in text"""
words = text.split()
return f"Word count: {len(words)}"
def reverse_text(text: str) -> str:
"""Reverses text"""
return text[::-1]
# Function dispatcher
def execute_tool(tool_name: str, arguments: dict) -> str:
"""Execute a tool by name with given arguments"""
if tool_name == "calculator":
return calculator(arguments["expression"])
elif tool_name == "get_current_time":
return get_current_time()
elif tool_name == "get_weather":
return get_weather(arguments["city"])
elif tool_name == "word_counter":
return word_counter(arguments["text"])
elif tool_name == "reverse_text":
return reverse_text(arguments["text"])
else:
return f"Unknown tool: {tool_name}"
def chat(user_message: str, messages: list = None):
"""Send a message and handle tool calls"""
if messages is None:
messages = []
# Add user message
messages.append({"role": "user", "content": user_message})
try:
# Call the model with tools (no tool_choice parameter)
response = client.chat.completions.create(
model="excom-ai",
messages=messages,
tools=tools,
temperature=0.4
)
assistant_message = response.choices[0].message
# Check if model wants to use tools
if assistant_message.tool_calls:
# Add assistant's tool call request to messages
messages.append({
"role": "assistant",
"content": assistant_message.content,
"tool_calls": [
{
"id": tc.id,
"type": "function",
"function": {
"name": tc.function.name,
"arguments": tc.function.arguments
}
}
for tc in assistant_message.tool_calls
]
})
# Execute each tool call
for tool_call in assistant_message.tool_calls:
function_name = tool_call.function.name
function_args = json.loads(tool_call.function.arguments)
print(f"🔧 Calling tool: {function_name}({function_args})")
# Execute the tool
tool_result = execute_tool(function_name, function_args)
# Add tool result to messages
messages.append({
"role": "tool",
"tool_call_id": tool_call.id,
"name": function_name,
"content": tool_result
})
# Get final response from model
final_response = client.chat.completions.create(
model="excom-ai",
messages=messages,
temperature=0.4
)
return final_response.choices[0].message.content, messages
else:
# No tools needed, return direct response
return assistant_message.content, messages
except Exception as e:
return f"Error: {e}", messages
def main():
print("=" * 60)
print("ExCom AI - Simple Tool Calling Chat")
print("=" * 60)
print("Available tools:")
print(" • calculator - Evaluate math expressions")
print(" • get_current_time - Get current date/time")
print(" • get_weather - Get weather for cities")
print(" • word_counter - Count words in text")
print(" • reverse_text - Reverse text")
print("\nType 'quit', 'exit', or 'q' to end.")
print("Type 'reset' to clear conversation history.")
print("=" * 60)
print()
messages = []
while True:
try:
user_input = input("You: ").strip()
if user_input.lower() in ['quit', 'exit', 'q']:
print("Goodbye!")
break
if user_input.lower() == 'reset':
messages = []
print("🔄 Conversation history cleared.\n")
continue
if not user_input:
continue
response, messages = chat(user_input, messages)
print(f"Assistant: {response}\n")
except KeyboardInterrupt:
print("\n\nGoodbye!")
break
except Exception as e:
print(f"❌ Error: {e}\n")
# Reset messages on unexpected error
messages = []
if __name__ == "__main__":
main()
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