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[Frontend] Support complex message content for chat completions endpoint #3467

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fgreinacher
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@fgreinacher fgreinacher commented Mar 18, 2024

The vLLM OpenAI server currently does not support complex message contents for the chat completions endpoint:

    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What’s in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
            }
          }
        ]
      }
    ]

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:

    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What is LiteLLM?"
          }
        ]
      }
    ]

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.

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@fgreinacher fgreinacher force-pushed the feat/complex-message-content branch 9 times, most recently from f538ecd to 46eaae8 Compare March 19, 2024 10:09
@fgreinacher fgreinacher marked this pull request as ready for review March 19, 2024 10:22
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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.

@LiuXiaoxuanPKU LiuXiaoxuanPKU self-assigned this Mar 22, 2024
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Thanks for the contribution! Just some minor comments.

tests/entrypoints/test_openai_server.py Outdated Show resolved Hide resolved
vllm/entrypoints/openai/protocol.py Outdated Show resolved Hide resolved
@fgreinacher fgreinacher force-pushed the feat/complex-message-content branch 5 times, most recently from abf69fc to a7d51e4 Compare March 28, 2024 07:00
@simon-mo
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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.

tests/entrypoints/test_openai_server.py Outdated Show resolved Hide resolved
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@simon-mo simon-mo self-assigned this Mar 28, 2024
@LiuXiaoxuanPKU LiuXiaoxuanPKU removed their request for review March 29, 2024 05:12
@fgreinacher fgreinacher force-pushed the feat/complex-message-content branch 3 times, most recently from 319de06 to e38105f Compare April 2, 2024 05:32
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fgreinacher commented Apr 2, 2024

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.

@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?

Comment on lines 201 to 209
@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.

@fgreinacher fgreinacher force-pushed the feat/complex-message-content branch 2 times, most recently from c43d1ec to 905717e Compare April 23, 2024 06:41
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DarkLight1337 commented Apr 25, 2024

Just a heads-up that #4355 uses the official type definitions from the openai Python library. This ensures consistency with using openai.Client to access the server. I think there is no need to maintain our own type definitions for the message inputs.

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fgreinacher commented Apr 25, 2024

Just a heads-up that #4355 uses the official type definitions from the openai Python library. This ensures consistency with using openai.Client to access the server. I think there is no need to maintain our own type definitions for the message inputs.

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.

@fgreinacher fgreinacher marked this pull request as draft April 25, 2024 07:23
@fgreinacher fgreinacher force-pushed the feat/complex-message-content branch 2 times, most recently from e785dec to 068b2a7 Compare April 29, 2024 10:40
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fgreinacher commented Apr 29, 2024

Just a heads-up that #4355 uses the official type definitions from the openai Python library. This ensures consistency with using openai.Client to access the server. I think there is no need to maintain our own type definitions for the message inputs.

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.

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.

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DarkLight1337 commented Apr 29, 2024

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.

@fgreinacher fgreinacher marked this pull request as ready for review April 29, 2024 13:27
@fgreinacher
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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.

Wonderful, I took the relevant part and integrated it here 🙇

@simon-mo simon-mo merged commit a494140 into vllm-project:main Apr 30, 2024
45 of 48 checks passed
@fgreinacher fgreinacher deleted the feat/complex-message-content branch May 2, 2024 08:53
robertgshaw2-neuralmagic pushed a commit to neuralmagic/nm-vllm that referenced this pull request May 6, 2024
z103cb pushed a commit to z103cb/opendatahub_vllm that referenced this pull request May 7, 2024
dtrifiro pushed a commit to opendatahub-io/vllm that referenced this pull request May 7, 2024
Temirulan pushed a commit to Temirulan/vllm-whisper that referenced this pull request Sep 6, 2024
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4 participants