> ## Documentation Index
> Fetch the complete documentation index at: https://promptlayer-1023-gorgias-docs.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Function Calling

The Prompt Registry supports the [OpenAI functions](https://platform.openai.com/docs/guides/function-calling) format. You can create a prompt using functions both visually and programmatically.

Be sure to read [this OpenAI guide](https://platform.openai.com/docs/guides/function-calling) for more context.

### Creating Visually

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

<img src="https://mintlify.s3-us-west-1.amazonaws.com/promptlayer-1023-gorgias-docs/images/create-function.gif" />

### 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:

<CodeGroup>
  ```python Python SDK
  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",
  )
  ```

  ```js JavaScript
  const messages = [
    { role: "user", content: "What's the weather like in Boston?" },
  ];
  const 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: messages.map(({ role, content }) => ({
        role,
        content: [
          {
            type: "text",
            text: content,
          },
        ],
      })),
      functions,
    },
  });

  const response = await openai.completions.create({
    model: "gpt-3.5-turbo",
    messages,
    functions,
    function_call: "auto",
  });
  ```
</CodeGroup>