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import random
from typing import Iterator
from ollama import chat
from ollama._types import ChatResponse
def get_weather(city: str) -> str:
"""
Get the current temperature for a city
Args:
city (str): The name of the city
Returns:
str: The current temperature
"""
temperatures = list(range(-10, 35))
temp = random.choice(temperatures)
return f'The temperature in {city} is {temp}°C'
def get_weather_conditions(city: str) -> str:
"""
Get the weather conditions for a city
Args:
city (str): The name of the city
Returns:
str: The current weather conditions
"""
conditions = ['sunny', 'cloudy', 'rainy', 'snowy', 'foggy']
return random.choice(conditions)
available_tools = {'get_weather': get_weather, 'get_weather_conditions': get_weather_conditions}
messages = [{'role': 'user', 'content': 'What is the weather like in London? What are the conditions in Toronto?'}]
model = 'gpt-oss:20b'
# gpt-oss can call tools while "thinking"
# a loop is needed to call the tools and get the results
final = True
while True:
response_stream: Iterator[ChatResponse] = chat(model=model, messages=messages, tools=[get_weather, get_weather_conditions], stream=True)
for chunk in response_stream:
if chunk.message.content:
if not (chunk.message.thinking or chunk.message.thinking == '') and final:
print('\nFinal result: ')
final = False
print(chunk.message.content, end='', flush=True)
if chunk.message.thinking:
print(chunk.message.thinking, end='', flush=True)
print()
if chunk.message.tool_calls:
for tool_call in chunk.message.tool_calls:
function_to_call = available_tools.get(tool_call.function.name)
if function_to_call:
print('\nCalling tool: ', tool_call.function.name, 'with arguments: ', tool_call.function.arguments)
result = function_to_call(**tool_call.function.arguments)
print('Tool result: ', result + '\n')
messages.append(chunk.message)
messages.append({'role': 'tool', 'content': result, 'tool_name': tool_call.function.name})
else:
print(f'Tool {tool_call.function.name} not found')
else:
# no more tool calls, we can stop the loop
break
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