[tool.poetry]
name = "deepeval"
version = "4.2.8"
description = "The LLM Evaluation Framework"
authors = ["Jeffrey Ip <jeffreyip@confident-ai.com>"]
license = "Apache-2.0"
readme = "README.md"
repository = "https://github.com/confident-ai/deepeval"
documentation = "https://deepeval.com"
exclude = ["tests/*", "scripts/*", "typescript/*"]

[tool.poetry.scripts]
deepeval = 'deepeval.cli.main:app'

[tool.poetry.plugins."pytest11"]
deepeval = "deepeval.plugins.plugin"

[tool.poetry.dependencies]
python = ">=3.9, <4.0"
requests = "^2.31.0"
tqdm = "^4.66.1"
pytest = "*"
pytest-xdist = "*"
pytest-repeat = "*"
pytest-rerunfailures = "*"
pytest-asyncio = "*"
tabulate = "^0.9.0"
rich = ">=13.6.0, <15.0.0"
portalocker = "*"
openai = "*"
aiohttp = "*"
typer = ">=0.9,<1.0.0"
click = ">=8.0.0,<8.4.0"
setuptools = "*"
wheel = "*"
nest_asyncio = "*"
tenacity = ">=8.0.0,<=10.0.0"
opentelemetry-api = "^1.24.0"
opentelemetry-sdk = "^1.24.0"
grpcio = "^1.67.1"

posthog = [
    { version = ">=5.4.0, <7.0.0", python = "<3.10" },
    { version = ">=7.0.0, <8.0.0", python = ">=3.10" }
]

pyfiglet = "*"
python-dotenv = "^1.1.1"
pydantic = "^2.11.7"
pydantic-settings = "^2.10.1"
jinja2 = "*"

textual = { version = ">=0.80,<2.0", optional = true }
pyperclip = { version = "^1.8", optional = true }
questionary = ">=2.0.0,<3.0.0"

[tool.poetry.extras]
inspect = ["textual", "pyperclip"]

[tool.poetry.group.dev.dependencies]
twine = "5.1.1"
black = { extras = ["jupyter"], version = "^25.1.0" }
chromadb = "*"
langchain = "*"
langchain_core = "*"
langchain_community = "*"
langchain_text_splitters = "*"
tiktoken = "*"
pypdf = "*"
docx2txt = "*"
pandas = "*"
pysqlite3-binary = { version = "^0.5.4", markers = "platform_system == 'Linux'" }
pre-commit = "^4.3.0"
ruff = "^0.13.0"
ollama = "*"
anthropic = "*"
google-genai = "^1.9.0"

[tool.black]
line-length = 80

[tool.ruff]
line-length = 80

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

[tool.pytest.ini_options]
addopts = "-m 'not skip_test'"
markers = [
    "skip_test: skip the test",
    "enable_dotenv: allow this test to load .env files via autoload_dotenv()",
]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "function"


[tool.poetry.group.integrations]
optional = true

[tool.poetry.group.integrations.dependencies]
crewai = { version = "*", python = ">=3.10,<3.14" }
# Use pydantic-ai-slim with explicit extras instead of the meta-package
# `pydantic-ai`, which transitively requires `pydantic-ai-slim[mistral]` →
# `mistralai`. The `mistralai` project is currently quarantined on PyPI
# (https://pypi.org/simple/mistralai/ shows
# `<meta name="pypi:project-status" content="quarantined">` and serves no
# files), which makes Poetry's resolution fail across every integrations
# job. All test apps under tests/test_integrations/test_pydanticai use
# `Agent("openai:gpt-4o-mini", ...)`, so the `openai` extra is the only
# one we actually exercise; widen this list if a future test needs a
# different provider.
pydantic-ai-slim = { version = "*", extras = ["openai"], python = ">=3.10,<3.14" }
llama-index = "^0.14.4"
openai-agents = "^0.3.3"
google-adk = { version = "*", python = ">=3.10,<3.15" }
openinference-instrumentation-google-adk = { version = "*", python = ">=3.10,<3.15" }


[tool.poetry.group.langchain]
optional = true

[tool.poetry.group.langchain.dependencies]
langchain = { version = "1.2.4", python = ">=3.10,<4.0" }
langchain-openai = { version = "1.1.7", python = ">=3.10,<4.0" }
langgraph = { version = "1.0.7", python = ">=3.10,<4.0" }