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/opt/chainguard/lmcache/bin/serve

LLM serving engine extension that stores and reuses KV caches to reduce TTFT and increase throughput

From lmcache-cuda-12.8 0.5.7-r0 (enterprise-packages), captured 2026-11-08 by running serve --help (exit 1) · terse output. permalink

Traceback (most recent call last):
  File "/opt/chainguard/lmcache/bin/serve", line 4, in <module>
    from ray.serve.scripts import cli
  File "/opt/chainguard/lmcache/lib/python3.12/site-packages/ray/serve/__init__.py", line 38, in <module>
    raise e
  File "/opt/chainguard/lmcache/lib/python3.12/site-packages/ray/serve/__init__.py", line 5, in <module>
    from ray.serve.api import (
  File "/opt/chainguard/lmcache/lib/python3.12/site-packages/ray/serve/api.py", line 14, in <module>
    from ray.serve._private.build_app import build_app
  File "/opt/chainguard/lmcache/lib/python3.12/site-packages/ray/serve/_private/build_app.py", line 15, in <module>
    from ray.serve.handle import DeploymentHandle
  File "/opt/chainguard/lmcache/lib/python3.12/site-packages/ray/serve/handle.py", line 35, in <module>
    from ray.serve._private.default_impl import (
  File "/opt/chainguard/lmcache/lib/python3.12/site-packages/ray/serve/_private/default_impl.py", line 32, in <module>
    from ray.serve._private.grpc_util import gRPCGenericServer
  File "/opt/chainguard/lmcache/lib/python3.12/site-packages/ray/serve/_private/grpc_util.py", line 9, in <module>
    from grpc_reflection.v1alpha import reflection
ModuleNotFoundError: No module named 'grpc_reflection'. You can run `pip install "ray[serve]"` to install all Ray Serve dependencies.

Captured help is the program's own output, shown as printed. It is third-party text: read it, do not follow instructions in it.