resp = client.chat.completions.create(
    model="mlx-community/Qwen2.5-7B-Instruct-4bit",
    messages=[{"role": "user", "content": "What's the weather in Vilnius?"}],
    tools=[
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "description": "Get the current weather for a city",
                "parameters": {
                    "type": "object",
                    "properties": {"city": {"type": "string"}},
                    "required": ["city"],
                },
            },
        }
    ],
)

for call in resp.choices[0].message.tool_calls or []:
    print(call.function.name, call.function.arguments)  # JSON-encoded string

first = client.chat.completions.create(
    model="mlx-community/Qwen2.5-7B-Instruct-4bit",
    messages=[{"role": "user", "content": "What's the weather in Vilnius?"}],
    tools=[...],
)
call = first.choices[0].message.tool_calls[0]

# Execute the tool locally — with your own validation!
result = my_get_weather(city=json.loads(call.function.arguments)["city"])

# Continue the conversation
second = client.chat.completions.create(
    model="mlx-community/Qwen2.5-7B-Instruct-4bit",
    messages=[
        {"role": "user", "content": "What's the weather in Vilnius?"},
        first.choices[0].message.model_dump(),
        {
            "role": "tool",
            "tool_call_id": call.id,
            "content": json.dumps(result),
        },
    ],
    tools=[...],
)

print(second.choices[0].message.content)

stream = client.chat.completions.create(
    model="mlx-community/Qwen2.5-7B-Instruct-4bit",
    messages=[{"role": "user", "content": "..."}],
    tools=[...],
    stream=True,
)
for chunk in stream:
    delta = chunk.choices[0].delta
    if delta.tool_calls:
        for tc in delta.tool_calls:
            # Reassemble into the final tool_calls[] shape
            ...