wehub-resource-sync
129 lines
3.5 KiB
TOML
129 lines
3.5 KiB
TOML
[tool.poetry]
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name = "deepeval"
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version = "4.1.0"
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description = "The LLM Evaluation Framework"
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authors = ["Jeffrey Ip <jeffreyip@confident-ai.com>"]
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license = "Apache-2.0"
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readme = "README.md"
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repository = "https://github.com/confident-ai/deepeval"
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documentation = "https://deepeval.com"
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exclude = ["tests/*", "scripts/*", "typescript/*"]
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[tool.poetry.scripts]
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deepeval = 'deepeval.cli.main:app'
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[tool.poetry.plugins."pytest11"]
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deepeval = "deepeval.plugins.plugin"
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[tool.poetry.dependencies]
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python = ">=3.9, <4.0"
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requests = "^2.31.0"
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tqdm = "^4.66.1"
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pytest = "*"
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pytest-xdist = "*"
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pytest-repeat = "*"
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pytest-rerunfailures = "*"
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pytest-asyncio = "*"
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tabulate = "^0.9.0"
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sentry-sdk = "*"
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rich = ">=13.6.0, <15.0.0"
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portalocker = "*"
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openai = "*"
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aiohttp = "*"
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typer = ">=0.9,<1.0.0"
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click = ">=8.0.0,<8.4.0"
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setuptools = "*"
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wheel = "*"
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nest_asyncio = "*"
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tenacity = ">=8.0.0,<=10.0.0"
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opentelemetry-api = "^1.24.0"
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opentelemetry-sdk = "^1.24.0"
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grpcio = "^1.67.1"
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posthog = [
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{ version = ">=5.4.0, <7.0.0", python = "<3.10" },
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{ version = ">=7.0.0, <8.0.0", python = ">=3.10" }
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]
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pyfiglet = "*"
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python-dotenv = "^1.1.1"
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pydantic = "^2.11.7"
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pydantic-settings = "^2.10.1"
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jinja2 = "*"
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textual = { version = ">=0.80,<2.0", optional = true }
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pyperclip = { version = "^1.8", optional = true }
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questionary = ">=2.0.0,<3.0.0"
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[tool.poetry.extras]
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inspect = ["textual", "pyperclip"]
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[tool.poetry.group.dev.dependencies]
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twine = "5.1.1"
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black = { extras = ["jupyter"], version = "^25.1.0" }
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chromadb = "*"
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langchain = "*"
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langchain_core = "*"
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langchain_community = "*"
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langchain_text_splitters = "*"
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tiktoken = "*"
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pypdf = "*"
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docx2txt = "*"
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pandas = "*"
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pysqlite3-binary = { version = "^0.5.4", markers = "platform_system == 'Linux'" }
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pre-commit = "^4.3.0"
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ruff = "^0.13.0"
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ollama = "*"
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anthropic = "*"
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google-genai = "^1.9.0"
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[tool.black]
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line-length = 80
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[tool.ruff]
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line-length = 80
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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[tool.pytest.ini_options]
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addopts = "-m 'not skip_test'"
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markers = [
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"skip_test: skip the test",
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"enable_dotenv: allow this test to load .env files via autoload_dotenv()",
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]
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asyncio_mode = "auto"
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asyncio_default_fixture_loop_scope = "function"
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[tool.poetry.group.integrations]
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optional = true
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[tool.poetry.group.integrations.dependencies]
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crewai = { version = "*", python = ">=3.10,<3.14" }
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# Use pydantic-ai-slim with explicit extras instead of the meta-package
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# `pydantic-ai`, which transitively requires `pydantic-ai-slim[mistral]` →
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# `mistralai`. The `mistralai` project is currently quarantined on PyPI
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# (https://pypi.org/simple/mistralai/ shows
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# `<meta name="pypi:project-status" content="quarantined">` and serves no
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# files), which makes Poetry's resolution fail across every integrations
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# job. All test apps under tests/test_integrations/test_pydanticai use
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# `Agent("openai:gpt-4o-mini", ...)`, so the `openai` extra is the only
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# one we actually exercise; widen this list if a future test needs a
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# different provider.
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pydantic-ai-slim = { version = "*", extras = ["openai"], python = ">=3.10,<3.14" }
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llama-index = "^0.14.4"
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openai-agents = "^0.3.3"
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google-adk = { version = "*", python = ">=3.10,<3.15" }
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openinference-instrumentation-google-adk = { version = "*", python = ">=3.10,<3.15" }
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[tool.poetry.group.langchain]
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optional = true
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[tool.poetry.group.langchain.dependencies]
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langchain = { version = "1.2.4", python = ">=3.10,<4.0" }
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langchain-openai = { version = "1.1.7", python = ">=3.10,<4.0" }
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langgraph = { version = "1.0.7", python = ">=3.10,<4.0" }
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