Actually, OpenAI provides Pydantic support for structured output (see client.beta.chat.completions.parse in https://platform.openai.com/docs/guides/structured-outputs).

The library is compatible with that but does not use Pydantic further than that.

Right the hope was to go further. E.g. if the input is:

```

class Classification(BaseModel):

    color: Literal['red', 'blue', 'green']

then the output type would be:

```

class ClassificationWithLogProbs(BaseModel):

    color: Dict[Literal['red', 'blue', 'green'], float]

Don't take this too literally; I'm not convinced that this is the right way to do it. But it would provide structure and scores without dealing with a mess of complex JSON.