[CI] Install sgl-eval from PyPI through the test extra (#37504)

scripts/ci/amd/amd_ci_install_dependency.sh

@@ -187,10 +187,6 @@ else
   install_with_retry docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache -e "python[${EXTRAS}]"
 fi
 
-# shellcheck source=scripts/ci/utils/sgl_eval_ref.sh
-source "$(dirname "${BASH_SOURCE[0]}")/../utils/sgl_eval_ref.sh"
-install_with_retry docker exec ci_sglang pip install --cache-dir=/sgl-data/pip-cache "$SGL_EVAL_SPEC"
-
 if [[ -n "${SKIP_TT_DEPS}" ]]; then
   echo "Didn't build lmms_eval, human-eval, and others"
 else

scripts/ci/cuda/ci_install_dependency.sh

@@ -726,8 +726,6 @@ stabilize_flashinfer_jit_paths() {
 install_extra_deps() {
     MOONCAKE_VERSION="0.3.13"
     NIXL_VERSION="1.3.0"
-    # shellcheck source=scripts/ci/utils/sgl_eval_ref.sh
-    source "${SCRIPT_DIR}/../utils/sgl_eval_ref.sh"
     if [ "$CU_MAJOR" = "13" ]; then
         MOONCAKE_PKG="mooncake-transfer-engine-cuda13==${MOONCAKE_VERSION}"
         MOONCAKE_STALE_PKG="mooncake-transfer-engine"
@@ -763,8 +761,6 @@ install_extra_deps() {
             --no-deps --force-reinstall $PIP_INSTALL_SUFFIX
     fi
 
-    $PIP_CMD install "$SGL_EVAL_SPEC" $PIP_INSTALL_SUFFIX
-
     if [ "$IS_BLACKWELL" != "1" ]; then
         git clone --branch v0.5 --depth 1 https://github.com/EvolvingLMMs-Lab/lmms-eval.git
         $PIP_CMD install -e lmms-eval/ $PIP_INSTALL_SUFFIX

scripts/ci/npu/npu_ci_install_dependency.sh

@@ -79,8 +79,3 @@ rm -rf cann-custom-ops
 ### Install SGLang
 rm -rf python/pyproject.toml && mv python/pyproject_npu.toml python/pyproject.toml
 ${UV_PIP_INSTALL} -v -e "python[dev_npu]"
-
-### Install sgl-eval
-# shellcheck source=scripts/ci/utils/sgl_eval_ref.sh
-source "${SCRIPT_DIR}/../utils/sgl_eval_ref.sh"
-${UV_PIP_INSTALL} "$SGL_EVAL_SPEC"

scripts/ci/utils/sgl_eval_ref.sh

@@ -1,13 +0,0 @@
-# Single source of truth for the sgl-eval commit every CI variant installs.
-# Meant to be sourced, not executed -- each variant then installs
-# "$SGL_EVAL_SPEC" with its own pip invocation, since those differ (uv pip on
-# CUDA/CPU, `docker exec ... pip` on AMD, `python3 -m pip` on NPU).
-#
-# sgl-eval is git-only and cannot be declared in python/pyproject.toml (see the
-# note there). Every eval that shells out to the `sgl-eval` CLI fails without
-# it, and a bump moves scoring for all of them at once -- so re-baseline
-# MODEL_SCORE_THRESHOLDS in
-# test/registered/eval/test_text_models_gsm8k_eval.py, and the mmlu thresholds
-# of run_eval's other callers, before changing this.
-SGL_EVAL_REF="a231b7a439b235090ff7baa30778fa2b514309ae"
-SGL_EVAL_SPEC="sgl-eval@git+https://github.com/sgl-project/sgl-eval.git@${SGL_EVAL_REF}"