[BUG] Multiple missing dependencies in docker image

[lee-b]

OS

Linux

GPU Library

CUDA 12.x

Python version

3.12

Describe the bug

Using ghcr.io/theroyallab/tabbyapi:latest (downloaded as of a few minutes ago), I get errors about the python 'requests' package being missing:

Attaching to tabbyapi
tabbyapi  | /app/common/logger.py:68: SyntaxWarning: invalid escape sequence '\<'
tabbyapi  |   message = message.replace("{", "{{").replace("}", "}}").replace("<", "\<")
tabbyapi  | Traceback (most recent call last):
tabbyapi  |   File "/app/main.py", line 16, in <module>
tabbyapi  |     from common import gen_logging, sampling, model
tabbyapi  |   File "/app/common/model.py", line 43, in <module>
tabbyapi  |     from backends.infinity.model import InfinityContainer
tabbyapi  |   File "/app/backends/infinity/model.py", line 12, in <module>
tabbyapi  |     from infinity_emb import EngineArgs, AsyncEmbeddingEngine
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/__init__.py", line 20, in <module>
tabbyapi  |     from infinity_emb.engine import AsyncEmbeddingEngine, AsyncEngineArray  # noqa: E402
tabbyapi  |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/engine.py", line 7, in <module>
tabbyapi  |     from infinity_emb.inference import (
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/inference/__init__.py", line 1, in <module>
tabbyapi  |     from infinity_emb.inference.batch_handler import BatchHandler
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/inference/batch_handler.py", line 29, in <module>
tabbyapi  |     from infinity_emb.transformer.abstract import BaseTransformer
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/transformer/abstract.py", line 20, in <module>
tabbyapi  |     from infinity_emb.transformer.quantization.interface import quant_embedding_decorator
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/transformer/quantization/interface.py", line 6, in <module>
tabbyapi  |     import requests  # type: ignore
tabbyapi  |     ^^^^^^^^^^^^^^^
tabbyapi  | ModuleNotFoundError: No module named 'requests'

I worked around that with a Dockerfile deriving from the above image but with RUN python3.12 pip install requests, but then immediately got another import error:

Attaching to tabbyapi
tabbyapi  | /app/common/logger.py:68: SyntaxWarning: invalid escape sequence '\<'
tabbyapi  |   message = message.replace("{", "{{").replace("}", "}}").replace("<", "\<")
tabbyapi  | Traceback (most recent call last):
tabbyapi  |   File "/app/main.py", line 16, in <module>
tabbyapi  |     from common import gen_logging, sampling, model
tabbyapi  |   File "/app/common/model.py", line 43, in <module>
tabbyapi  |     from backends.infinity.model import InfinityContainer
tabbyapi  |   File "/app/backends/infinity/model.py", line 12, in <module>
tabbyapi  |     from infinity_emb import EngineArgs, AsyncEmbeddingEngine
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/__init__.py", line 20, in <module>
tabbyapi  |     from infinity_emb.engine import AsyncEmbeddingEngine, AsyncEngineArray  # noqa: E402
tabbyapi  |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/engine.py", line 7, in <module>
tabbyapi  |     from infinity_emb.inference import (
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/inference/__init__.py", line 1, in <module>
tabbyapi  |     from infinity_emb.inference.batch_handler import BatchHandler
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/inference/batch_handler.py", line 30, in <module>
tabbyapi  |     from infinity_emb.transformer.utils import get_lengths_with_tokenize
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/transformer/utils.py", line 6, in <module>
tabbyapi  |     from infinity_emb.transformer.crossencoder.optimum import OptimumCrossEncoder
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/transformer/crossencoder/optimum.py", line 9, in <module>
tabbyapi  |     from infinity_emb.transformer.utils_optimum import (
tabbyapi  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/transformer/utils_optimum.py", line 5, in <module>
tabbyapi  |     from huggingface_hub import HfApi, HfFolder  # type: ignore
tabbyapi  |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tabbyapi  | ImportError: cannot import name 'HfFolder' from 'huggingface_hub' (/opt/venv/lib/python3.12/site-packages/huggingface_hub/__init__.py)

Reproduction steps

A docker-compose.yaml as follows should trigger it, with a fresh pull of the image:

services:
  tabbyapi:
    image: ghcr.io/theroyallab/tabbyapi:latest

Expected behavior

Loads, runs, serves requests

Logs

No response

Additional context

No response

Acknowledgements

• I have looked for similar issues before submitting this one.
• I have read the disclaimer, and this issue is related to a code bug. If I have a question, I will use the Discord server.
• I understand that the developers have lives and my issue will be answered when possible.
• I understand the developers of this program are human, and I will ask my questions politely.

[lee-b]

I believe the solution is to add requests and (lacking code changes) pin the version on huggingface_hub in pyproject.toml:

    "requests",
    "huggingface-hub==0.34.3",

[moshe4410]

I believe the solution is to add requests and (lacking code changes) pin the version on huggingface_hub in pyproject.toml:

    "requests",
    "huggingface-hub==0.34.3",

i am not him , but i am having the same problem i added them into the pyproject.toml file tried to compose docker again but the same error occurs

this is how i changed the file

[build-system]
requires = [
    "packaging",
    "setuptools",
    "wheel",
    "requests",
    "huggingface-hub==0.34.3",
]
build-backend = "setuptools.build_meta"

# We're not building the project itself
[tool.setuptools]
py-modules = []

[project]
name = "tabbyAPI"
version = "0.0.1"
description = "An OAI compatible exllamav2 API that's both lightweight and fast"
requires-python = ">=3.10"
dependencies = [
    "requests",
    "huggingface-hub==0.34.3",
    "fastapi-slim >= 0.115",
    "pydantic == 2.11.0",
    "ruamel.yaml",
    "rich",
    "uvicorn >= 0.28.1",
    "jinja2 >= 3.0.0",
    "loguru",
    "sse-starlette >= 2.2.0",
    "packaging",
    "tokenizers >= 0.21.0",
    "formatron >= 0.4.11",
    "kbnf >= 0.4.1",
    "aiofiles",
    "aiohttp",
    "async_lru",
    "huggingface_hub",
    "psutil",
    "httptools >= 0.5.0",
    "pillow",

    # Improved asyncio loops
    "uvloop ; platform_system == 'Linux' and platform_machine == 'x86_64'",
    "winloop ; platform_system == 'Windows'",

    # For python 3.12
    "setuptools ; python_version >= '3.12'"
]

[project.urls]
"Homepage" = "https://github.com/theroyallab/tabbyAPI"

[project.optional-dependencies]
extras = [
    # Heavy dependencies that aren't for everyday use
    "infinity-emb",
    "sentence-transformers",
]
dev = [
    "ruff == 0.11.10"
]
cu12 = [
    # Torch (Extra index URLs not support in pyproject.toml)
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp313-cp313-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp312-cp312-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp311-cp311-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
    "torch @ https://download.pytorch.org/whl/cu128/torch-2.9.0%2Bcu128-cp310-cp310-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",

    # Exl2
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",

    # Exl3
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
    "exllamav3 @ https://github.com/turboderp-org/exllamav3/releases/download/v0.0.21/exllamav3-0.0.21+cu128.torch2.9.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",

    # Windows FA2 from https://github.com/kingbri1/flash-attention/releases
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp312-cp312-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.12'",
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp311-cp311-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.11'",
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp310-cp310-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.10'",

    # Linux FA2 from https://github.com/kingbri1/flash-attention/releases
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
    "flash_attn @ https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.9.0cxx11abiFALSE-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
]
amd = [
    # Torch triton for ROCm
    "pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
    "pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
    "pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
    "pytorch_triton_rocm @ https://download.pytorch.org/whl/pytorch_triton_rocm-3.4.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",

    # Torch
    "torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.9.0%2Brocm6.4-cp313-cp313-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
    "torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.9.0%2Brocm6.4-cp312-cp312-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
    "torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.9.0%2Brocm6.4-cp311-cp311-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
    "torch @ https://download.pytorch.org/whl/rocm6.4/torch-2.9.0%2Brocm6.4-cp310-cp310-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",

    # Exl2
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.9.0-cp313-cp313-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.13'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.9.0-cp312-cp312-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.12'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.9.0-cp311-cp311-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.11'",
    "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+rocm6.4.torch2.9.0-cp310-cp310-linux_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64' and python_version == '3.10'",
]

# MARK: Ruff options

[tool.ruff]
# Exclude a variety of commonly ignored directories.
exclude = [
    ".git",
    ".git-rewrite",
    ".mypy_cache",
    ".pyenv",
    ".pytest_cache",
    ".ruff_cache",
    ".venv",
    ".vscode",
    "__pypackages__",
    "_build",
    "build",
    "dist",
    "node_modules",
    "site-packages",
    "venv",
    "colab",
    "docker",
]

# Same as Black.
line-length = 88
indent-width = 4

# Assume Python 3.10
target-version = "py310"

[tool.ruff.lint]
# Enable preview
preview = true

# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`)  codes by default.
# Unlike Flake8, Ruff doesn't enable pycodestyle warnings (`W`) or
# McCabe complexity (`C901`) by default.
# Enable flake8-bugbear (`B`) rules, in addition to the defaults.
select = ["E4", "E7", "E9", "F", "B"]
extend-select = [
    "D419",  # empty-docstring
    "PLC2401",  # non-ascii-name
    "E501",  # line-too-long
    "W291",  # trailing-whitespace
    "PLC0414",  # useless-import-alias
    "PLE0101",  # return-in-init
    "F706",  # return-outside-function
    "F704",  # yield-outside-function
    "PLE0116",  # continue-in-finally
    "PLE0117",  # nonlocal-without-binding
    "PLE0241",  # duplicate-bases
    "PLE0302",  # unexpected-special-method-signature
    "PLE0604",  # invalid-all-object
    "PLE0704",  # misplaced-bare-raise
    "PLE1205",  # logging-too-many-args
    "PLE1206",  # logging-too-few-args
    "PLE1307",  # bad-string-format-type
    "PLE1310",  # bad-str-strip-call
    "PLE1507",  # invalid-envvar-value
    "PLR0124",  # comparison-with-itself
    "PLR0202",  # no-classmethod-decorator
    "PLR0203",  # no-staticmethod-decorator
    "PLR0206",  # property-with-parameters
    "PLR1704",  # redefined-argument-from-local
    "PLR1711",  # useless-return
    "C416",  # unnecessary-comprehension
    "PLW0108",  # unnecessary-lambda
    "PLW0127",  # self-assigning-variable
    "PLW0129",  # assert-on-string-literal
    "PLW0602",  # global-variable-not-assigned
    "PLW0604",  # global-at-module-level
    "F401",  # unused-import
    "F841",  # unused-variable
    "E722",  # bare-except
    "PLW0711",  # binary-op-exception
    "PLW1501",  # bad-open-mode
    "PLW1508",  # invalid-envvar-default
    "PLW1509",  # subprocess-popen-preexec-fn
]
ignore = [
    "PLR6301",  # no-self-use
    "UP004",  # useless-object-inheritance
    "PLR0904",  # too-many-public-methods
    "PLR0911",  # too-many-return-statements
    "PLR0912",  # too-many-branches
    "PLR0913",  # too-many-arguments
    "PLR0914",  # too-many-locals
    "PLR0915",  # too-many-statements
    "PLR0916",  # too-many-boolean-expressions
    "PLW0120",  # useless-else-on-loop
    "PLW0406",  # import-self
    "PLW0603",  # global-statement
    "PLW1641",  # eq-without-hash
]

# Allow fix for all enabled rules (when `--fix`) is provided.
fixable = ["ALL"]
unfixable = ["B"]

# Allow unused variables when underscore-prefixed.
dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"

[tool.ruff.format]

# Like Black, use double quotes for strings.
quote-style = "double"

# Like Black, indent with spaces, rather than tabs.
indent-style = "space"

# Like Black, respect magic trailing commas.
skip-magic-trailing-comma = false

# Like Black, automatically detect the appropriate line ending.
line-ending = "auto"

and this is the error

[+] Running 18/18
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[+] Running 2/2
 ✔ Network docker_default       Created                                                                            0.1s
 ✔ Container docker-tabbyapi-1  Created                                                                            2.4s
Attaching to tabbyapi-1
tabbyapi-1  | /app/common/logger.py:68: SyntaxWarning: invalid escape sequence '\<'
tabbyapi-1  |   message = message.replace("{", "{{").replace("}", "}}").replace("<", "\<")
tabbyapi-1  | Traceback (most recent call last):
tabbyapi-1  |   File "/app/main.py", line 16, in <module>
tabbyapi-1  |     from common import gen_logging, sampling, model
tabbyapi-1  |   File "/app/common/model.py", line 43, in <module>
tabbyapi-1  |     from backends.infinity.model import InfinityContainer
tabbyapi-1  |   File "/app/backends/infinity/model.py", line 12, in <module>
tabbyapi-1  |     from infinity_emb import EngineArgs, AsyncEmbeddingEngine
tabbyapi-1  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/__init__.py", line 20, in <module>
tabbyapi-1  |     from infinity_emb.engine import AsyncEmbeddingEngine, AsyncEngineArray  # noqa: E402
tabbyapi-1  |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tabbyapi-1  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/engine.py", line 7, in <module>
tabbyapi-1  |     from infinity_emb.inference import (
tabbyapi-1  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/inference/__init__.py", line 1, in <module>
tabbyapi-1  |     from infinity_emb.inference.batch_handler import BatchHandler
tabbyapi-1  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/inference/batch_handler.py", line 29, in <module>
tabbyapi-1  |     from infinity_emb.transformer.abstract import BaseTransformer
tabbyapi-1  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/transformer/abstract.py", line 20, in <module>
tabbyapi-1  |     from infinity_emb.transformer.quantization.interface import quant_embedding_decorator
tabbyapi-1  |   File "/opt/venv/lib/python3.12/site-packages/infinity_emb/transformer/quantization/interface.py", line 6, in <module>
tabbyapi-1  |     import requests  # type: ignore
tabbyapi-1  |     ^^^^^^^^^^^^^^^
tabbyapi-1  | ModuleNotFoundError: No module named 'requests'
tabbyapi-1  | [W222 18:53:24.721312379 AllocatorConfig.cpp:28] Warning: PYTORCH_CUDA_ALLOC_CONF is deprecated, use PYTORCH_ALLOC_CONF instead (function operator())
tabbyapi-1 exited with code 1

[figuernd]

Second time I've run into this kind of thing with tabby, think I still have an open PR out there fixing build for Qwen3-NEXT.

@turboderp please consider adding Docker build action to CI.

[figuernd]

    "requests >= 2.32.5",
    "huggingface-hub == 0.34.3",

Works.