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pyproject.toml
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65 lines (56 loc) · 1.78 KB
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[project]
name = "lm-proxy"
version = "2.1.1"
description = "\"LM-Proxy\" is OpenAI-compatible http proxy server for inferencing various LLMs capable of working with Google, Anthropic, OpenAI APIs, local PyTorch inference, etc."
readme = "README.md"
keywords = ["llm", "large language models", "ai", "gpt", "openai", "proxy", "http", "proxy-server"]
classifiers = [
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"License :: OSI Approved :: MIT License",
]
dependencies = [
"ai-microcore~=4.4.4",
"fastapi>=0.121.3,<1",
"uvicorn>=0.22.0",
"typer>=0.16.1",
"requests~=2.32.3",
"pydantic~=2.12.3",
]
requires-python = ">=3.11,<4"
authors = [
{ name = "Vitalii Stepanenko", email = "mail@vitaliy.in" },
]
maintainers = [
{ name = "Vitalii Stepanenko", email = "mail@vitaliy.in" },
]
license = { file = "LICENSE" }
[project.urls]
"Source Code" = "https://github.com/Nayjest/lm-proxy"
[project.entry-points."config.loaders"]
toml = "lm_proxy.config_loaders:load_toml_config"
py = "lm_proxy.config_loaders:load_python_config"
yml = "lm_proxy.config_loaders:load_yaml_config"
yaml = "lm_proxy.config_loaders:load_yaml_config"
json = "lm_proxy.config_loaders:load_json_config"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
package-mode = true
packages = [{ include = "lm_proxy"}]
[tool.poetry.group.test.dependencies]
pytest = "~=8.4.2"
pytest-asyncio = "~=1.2.0"
pytest-cov = "~7.0.0"
[tool.poetry.scripts]
lm-proxy = "lm_proxy.app:cli_app"
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = [
"tests",
]