instructor/pyproject.toml at main · amingclawdev/instructor · GitHub

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[project]
authors = [
    { name = "Jason Liu" },
    { name = "Ivan Leo" },
]
maintainers = [
    { email = "jason@jxnl.co" },
    { email = "ivan@jxnl.co" },
]
license = { text = "MIT" }
requires-python = "<4.0,>=3.9"
dependencies = [
    "openai>=2.0.0,<3.0.0",
    "pydantic<3.0.0,>=2.8.0",
    "docstring-parser<1.0,>=0.16",
    "typer<1.0.0,>=0.9.0",
    "rich<15.0.0,>=13.7.0",
    "aiohttp<4.0.0,>=3.9.1",
    "tenacity<10.0.0,>=8.2.3",
    "pydantic-core<3.0.0,>=2.18.0",
    "jiter>=0.6.1,<0.15",
    "jinja2<4.0.0,>=3.1.4",
    "requests<3.0.0,>=2.32.3",
]
name = "instructor"
version = "1.15.1"
description = "structured outputs for llm"
readme = "README.md"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.uv]
package = true

[project.urls]
repository = "https://github.com/instructor-ai/instructor"

[tool.pytest.ini_options]
markers = [
    "unit: marks tests as unit tests (fast, no external dependencies)",
    "integration: marks tests as integration tests (may require API keys)",
    "llm: marks tests that make LLM API calls",
]

[project.optional-dependencies]
dev = [
    "pytest<9.0.0,>=8.3.3",
    "pytest-asyncio>=0.24.0,<2.0.0",
    "coverage<8.0.0,>=7.3.2",
    "jsonref<2.0.0,>=1.1.0",
    "pytest-examples>=0.0.15",
    "python-dotenv>=1.0.1",
    "pytest-xdist>=3.8.0",
    "pre-commit>=4.2.0",
    "ty>=0.0.1a23",
    "anthropic==0.93.0",
    "xmltodict>=0.13,<1.1",
]
docs = [
    "mkdocs<2.0.0,>=1.6.1",
    "mkdocs-material[imaging]<10.0.0,>=9.5.9",
    "mkdocstrings>=0.27.1,<0.31.0",
    "mkdocstrings-python<2.0.0,>=1.12.2",
    "pytest-examples>=0.0.15",
    "mkdocs-jupyter>=0.24.6,<0.27.0",
    "mkdocs-rss-plugin<2.0.0,>=1.12.0",
    "mkdocs-minify-plugin<1.0.0,>=0.8.0",
    "mkdocs-redirects<2.0.0,>=1.2.1",
    "mkdocs-llmstxt>=0.5.0,<0.6.0; python_version >= '3.10'",
    "mkdocs-material-extensions>=1.3.1",
    "mkdocs-material>=9.6.14",
]
test-docs = [
    "fastapi>=0.109.2,<0.129.0",
    "redis>=5.0.1,<8.0.0",
    "diskcache<6.0.0,>=5.6.3",
    "pandas<3.0.0,>=2.2.0",
    "tabulate<1.0.0,>=0.9.0",
    "pydantic-extra-types<3.0.0,>=2.6.0",
    "litellm>=1.35.31,<=1.83.7",
    "mistralai<2.0.0,>=1.5.1",
]
anthropic = ["anthropic==0.93.0", "xmltodict>=0.13,<1.1"]
groq = ["groq>=0.4.2,<1.1.0"]
cohere = ["cohere<6.0.0,>=5.1.8"]
vertexai = ["google-cloud-aiplatform<2.0.0,>=1.53.0", "jsonref<2.0.0,>=1.1.0"]
cerebras_cloud_sdk = ["cerebras-cloud-sdk<2.0.0,>=1.5.0"]
fireworks-ai = ["fireworks-ai<1.0.0,>=0.15.4"]
writer = ["writer-sdk<3.0.0,>=2.2.0"]
bedrock = ["boto3<2.0.0,>=1.34.0"]
mistral = ["mistralai<2.0.0,>=1.5.1"]
perplexity = ["openai>=2.0.0,<3.0.0"]
google-genai = ["google-genai>=1.5.0","jsonref<2.0.0,>=1.1.0"]
litellm = ["litellm>=1.35.31,<=1.83.7"]
xai = ["xai-sdk>=0.2.0 ; python_version >= '3.10'"]
phonenumbers = ["phonenumbers>=8.13.33,<10.0.0"]
graphviz = ["graphviz<1.0.0,>=0.20.3"]
sqlmodel = ["sqlmodel<1.0.0,>=0.0.22"]
diskcache = ["diskcache<6.0.0,>=5.6.3"]
trafilatura = ["trafilatura<3.0.0,>=1.12.2"]
pydub = ["pydub<1.0.0,>=0.25.1"]
datasets = ["datasets>=3.0.1,<5.0.0"]

[project.scripts]
instructor = "instructor.cli.cli:app"