Fast,

cost-optimized

LLM endpoints

# Process any tool calls made by the model
tool_calls = response.choices[0].message.tool_calls
if tool_calls:
    for tool_call in tool_calls:
        function_name = tool_call.function.name
        function_args = json.loads(tool_call.function.arguments)
        # Call the function to get the response
        function_response = locals()[function_name](**function_args)
        # Add the function response to the messages block
        messages.append(
            {
                "tool_call_id": tool_call.id,
                "role": "tool",
                "name": function_name,
                "content": function_response,
            })