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[Frontend] Support complex message content for chat completions endpoint #3467
[Frontend] Support complex message content for chat completions endpoint #3467
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This is now ready for review. There is failure in the Kernels test, but it does not seem to be related to my changes. |
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Thanks for the contribution! Just some minor comments.
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nice! i don't even though this schema existed in the first place |
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i actually think the proper fix would be support this in serving_completions directly to unwrap the text if complex schema is provided. we just added llava support and i think someone can add images as a follow up.
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@simon-mo I had the same idea at first, but then I realized that this is not support by the transformers library (https://github.com/vllm-project/vllm/blob/main/vllm/entrypoints/openai/serving_chat.py#L55-L58). My thinking was that passing the complex format on therefore does not bring much benefit and just weakens typing. Full support could for sure be implemented, but would need quite some effort. Maybe we can start with the simple solution and evolve as needed? |
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vllm/entrypoints/openai/protocol.py
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@computed_field | ||
@property | ||
def normalized_messages(self) -> List[Dict[str, str]]: | ||
return [{ | ||
key: value if isinstance(value, str) else value[0].text | ||
for key, value in message.items() | ||
} for message in self.messages] |
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I decided to keep this here so that we can benefit from Pydantic convenience. Let me know if you prefer to have it somewhere else.
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Just a heads-up that #4355 uses the official type definitions from the |
Oh, that's very nice @DarkLight1337. Also great that you already provide a placeholder for the changes in this MR :) I'll put this MR back to Draft and will refactor once #4355 is merged. |
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I have rebased and adapted the code, making this one much smaller, thanks @DarkLight1337 👍 @simon-mo This is ready for another round I'd say. The Neuron test is failing, but I don't think it's related to the changes in this PR. |
Glad to help! I think you can take more parts from #4200 and enable multiple text inputs per message (concatenating them with a newline). That way, we get to test out this functionality a bit more before extending it to images. |
Co-authored-by: Lily Liu <[email protected]> Co-authored-by: Cyrus Leung <[email protected]>
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Wonderful, I took the relevant part and integrated it here 🙇 |
…int (vllm-project#3467) Co-authored-by: Lily Liu <[email protected]> Co-authored-by: Cyrus Leung <[email protected]>
…int (vllm-project#3467) Co-authored-by: Lily Liu <[email protected]> Co-authored-by: Cyrus Leung <[email protected]>
…int (vllm-project#3467) Co-authored-by: Lily Liu <[email protected]> Co-authored-by: Cyrus Leung <[email protected]>
…int (vllm-project#3467) Co-authored-by: Lily Liu <[email protected]> Co-authored-by: Cyrus Leung <[email protected]>
The vLLM OpenAI server currently does not support complex message contents for the chat completions endpoint:
It seems non-trivial/impossible to fully support this format because it strongly depends on the active model.
What we can support easily though are simple cases where just a simple text content is provided:
This does not seem super useful, but it helps for cases where a client library passes complex contents by default, even if they could be represented by a simple string, for example https://github.com/OkGoDoIt/OpenAI-API-dotnet.
⚒️ with ❤️ by Siemens
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