The Prompt Registry supports the OpenAI functions format. You can create a prompt using functions both visually and programmatically.

Be sure to read this OpenAI guide for more context.

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Creating Visually

Functions can be defined, called, and set up visually through the Prompt Registry.

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Publishing Programmatically

To publish a prompt template with functions programatically is very similar to how you would publish a regular prompt template. To add functions you can add the arguments functions and function_call to your prompt_template object.

If you’re already calling OpenAI API, you can bundle the functions and publish it into the Prompt Registry, like this:

messages = [{"role": "user", "content": "What's the weather like in Boston?"}]
functions = [
  {
    "name": "get_current_weather",
    "description": "Get the current weather in a given location",
    "parameters": {
      "type": "object",
      "properties": {
        "location": {
          "type": "string",
          "description": "The city and state, e.g. San Francisco, CA",
        },
        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
      },
      "required": ["location"],
    },
  }
]

promptlayer.templates.publish({
    "prompt_name": "test_chat_functions",
    "prompt_template": {
        "type": "chat",
        "function_call": "auto",
        "messages": [
            {
                "role": role,
                "content": [
                    {
                        "type": "text",
                        "text": content,
                    }
                ],
            }
            for (role, content) in map(lambda x: x.values(), messages)
        ],
        "functions": functions,
    }
  })

response = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=messages,
  functions=functions,
  function_call="auto",
)