Function Calling Help - Model Doesn't Seem To Accept Function Prompt?

Prompting
,
3

The “function” role is for returning the response back to the AI, and actually now you should migrate to tools, which requires you to pass a matching ID in the assistant tool output and the tool function return.

The “function” alone doesn’t let the AI imagine what function that text came from, and no spec = no function call trained model.

For passing the specification, I whipped up a bit of code with demo parsing of the API response, and using the with_raw_response, so headers and other request object info is also available.

from openai import OpenAI
client = OpenAI()

tools=[{
        "type": "function",
        "function": {
            "name": "get_weather_forecast",
            "description": "Get weather forecast",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "The city and state.",
                    },
                    "format": {
                        "type": "string",
                        "enum": ["celsius", "fahrenheit"],
                        "description": "The temperature unit to use.",
                    },
                    "time_period": {
                        "type": "number",
                        "description": "length in days or portions of day",
                    }
                },
                "required": ["location", "format", "num_days"]
            },
        }
    }]

params = {
  "model": "gpt-3.5-turbo",
  "messages": [
    {"role": "system", "content": "You are a helpful AI assistant."},
    {"role": "user", "content": "How hot will it be today in Seattle?"}
  ],
  "tools": tools
}
  
c = client.chat.completions.with_raw_response.create(**params)

# print any response always
if c.parse().choices[0].message.content:
    print(c.parse().choices[0].message.content)

# print the first function invoked
if c.parse().choices[0].finish_reason:
    print(c.parse().choices[0].message.tool_calls[0].function)