A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 15, 03:30 UTC
[Bugfix] Fix flaky `test_streaming_response` test (#20363)
Signed-off-by: NickLucche <nlucches@redhat.com>
Nicolò Lucchesi committed
Jul 3, 2025 at 16:46 UTC
d1b689c44588a15f7a3d5812414b428963b2bb4b
1 file changed
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requirements/common.txt
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@@ -13,7 +13,7 @@ tokenizers >= 0.21.1 # Required for fast incremental detokenization.
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protobuf # Required by LlamaTokenizer.
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fastapi[standard] >= 0.115.0 # Required by FastAPI's form models in the OpenAI API server's audio transcriptions endpoint.
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aiohttp
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-openai >= 1.52.0 # Ensure modern openai package (ensure types module present and max_completion_tokens field support)
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+openai >= 1.52.0, <= 1.90.0 # Ensure modern openai package (ensure types module present and max_completion_tokens field support)
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pydantic >= 2.10
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prometheus_client >= 0.18.0
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pillow # Required for image processing