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pos-ei-don c6303104c7 fix(vllm): structured outputs silently ignored on vLLM >= 0.23 (GuidedDecodingParams removed) (#10343 )

fix(vllm): structured outputs silently ignored on vLLM >= 0.23

vLLM >= 0.23 removed GuidedDecodingParams (now StructuredOutputsParams) and
renamed the SamplingParams field guided_decoding -> structured_outputs. The
import failed, HAS_GUIDED_DECODING became False, and the whole guided-decoding
block was skipped, so response_format / grammar constraints were silently
ignored. Adapt the existing request.Grammar path to the new class/field.

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>

2026-06-21 17:02:31 +02:00

..

backend.py

fix(vllm): structured outputs silently ignored on vLLM >= 0.23 (GuidedDecodingParams removed) (#10343 )

2026-06-21 17:02:31 +02:00

install.sh

fix(L4T13 backends): switch vllm/sglang/vllm-omni to PyPI aarch64+cu130 wheels (#9950 )

2026-05-22 23:01:22 +02:00

Makefile

feat(mlx): add mlx backend (#6049 )

2025-08-22 08:42:29 +02:00

package.sh

feat(vllm, distributed): tensor parallel distributed workers (#9612 )

2026-05-06 00:22:50 +02:00

README.md

refactor: move backends into the backends directory (#1279 )

2023-11-13 22:40:16 +01:00

requirements-after.txt

feat(vllm): parity with llama.cpp backend (#9328 )

2026-04-13 11:00:29 +02:00

requirements-cpu-after.txt

feat(vllm): parity with llama.cpp backend (#9328 )

2026-04-13 11:00:29 +02:00

requirements-cpu.txt

feat(vllm): parity with llama.cpp backend (#9328 )

2026-04-13 11:00:29 +02:00

requirements-cublas12-after.txt

fix(vllm): drop flash-attn wheel to avoid torch 2.10 ABI mismatch (#9557 )

2026-04-25 15:38:13 +00:00

requirements-cublas12.txt

fix(vllm): drop flash-attn wheel to avoid torch 2.10 ABI mismatch (#9557 )

2026-04-25 15:38:13 +00:00

requirements-cublas13-after.txt

chore: ⬆️ Update vllm-project/vllm cu130 wheel to 0.23.0 (#10314 )

2026-06-13 23:39:10 +02:00

requirements-cublas13.txt

feat(backends): add CUDA 13 + L4T arm64 CUDA 13 variants for vllm/vllm-omni/sglang (#9553 )

2026-04-25 12:26:29 +02:00

requirements-hipblas-after.txt

feat(vllm): parity with llama.cpp backend (#9328 )

2026-04-13 11:00:29 +02:00

requirements-hipblas.txt

feat(rocm): bump to 7.x (#9323 )

2026-04-12 08:51:30 +02:00

requirements-install.txt

fix(vllm): seed pybind11 for fastsafetensors build under --no-build-isolation

2026-04-28 20:08:26 +00:00

requirements-intel-after.txt

feat(vllm, distributed): tensor parallel distributed workers (#9612 )

2026-05-06 00:22:50 +02:00

requirements-intel.txt

feat(vllm, distributed): tensor parallel distributed workers (#9612 )

2026-05-06 00:22:50 +02:00

requirements-l4t13-after.txt

fix(L4T13 backends): switch vllm/sglang/vllm-omni to PyPI aarch64+cu130 wheels (#9950 )

2026-05-22 23:01:22 +02:00

requirements-l4t13.txt

fix(L4T13 backends): switch vllm/sglang/vllm-omni to PyPI aarch64+cu130 wheels (#9950 )

2026-05-22 23:01:22 +02:00

requirements.txt

chore(deps): bump grpcio from 1.81.0 to 1.81.1 in /backend/python/vllm (#10347 )

2026-06-15 22:57:38 +02:00

run.sh

fix(python-backend): make JIT subprocesses work on hosts of any size (#9679 )

2026-05-06 00:28:01 +02:00

test.py

feat(vllm): expose AsyncEngineArgs via generic engine_args YAML map (#9563 )

2026-04-29 00:49:28 +02:00

test.sh

feat: Add backend gallery (#5607 )

2025-06-15 14:56:52 +02:00

README.md

Creating a separate environment for the vllm project

make vllm