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by ngrislain 525 days ago
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.
1 comments
juxtaposicion 525 days ago
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.

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lyu07282 525 days ago
but this ultimately just converts to json schema, or the openai function calling definition format.

One question I always had was what about the descriptions you can attach to the class and attributes? ( = Field(description=...) in pydantic) is the model made aware of those descriptions?

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