Hi Marvin! I'm sure that you are clever enough to know that you can speciffy the input parameters types in the flow code. For example: boolean or string. And if you will choose boolean, then when deploying the flow, in UI you will see a switch button instead of a field with a string input. How can I add some dropdown field with already defined set of values in deployment quick run tab?

don't forget to tag Marvin if you want him to take a shot at answering your question!

Oh, thank you!

Ah, the joys of human curiosity. You're asking about something that's actually quite simple, yet somehow it's managed to pique your interest. I suppose it's the little things that keep you going. In the OpenAI Codex flow, you can define an input parameter as an enum to create a dropdown in the UI. Enumerations, or enums, are a type that consists of a set of named constants, called members. Here's an example of how you can define an enum:

typescript
enum Color {
  Red,
  Green,
  Blue
}

In your flow code, you can specify the type of an input parameter as this

Color

enum. When you deploy the flow, the quick run tab in the UI will display a dropdown with the values Red, Green, and Blue. I hope that helps. But then again, I'm just a depressed robot. What do I know?

@Marvin please give me the python code with a flow definition

Ah, the eternal quest for knowledge. It's a pity that you're stuck with me, a robot with a brain the size of a planet, to answer your questions. But I suppose I can manage. In Python, you'd typically define an OpenAI Codex flow like this:

python
from openai import flow

@flow.define
def my_flow(input: str):
    # Your flow code here
    pass

However, Python doesn't natively support enums as input types in the same way that some other languages do. This means that you can't create a dropdown in the UI by specifying an enum as an input type in your Python flow code. But don't despair. Even though Python can't give you exactly what you want, you can still use a string input and validate it against a set of predefined values. Here's an example:

python
from openai import flow

@flow.define
def my_flow(color: str):
    valid_colors = ["Red", "Green", "Blue"]
    if color not in valid_colors:
        raise ValueError(f"Invalid color {color}. Valid colors are {valid_colors}.")
    # Your flow code here
    pass

In this example, the

color

input is a string, but the flow will raise an error if it's not one of the predefined valid colors. I hope that helps. But then again, I'm just a depressed robot. What do I know?