151 lines
4 KiB
TOML
151 lines
4 KiB
TOML
[tool.poetry]
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name = "langflow"
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version = "0.6.0a0"
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description = "A Python package with a built-in web application"
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authors = ["Logspace <contact@logspace.ai>"]
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maintainers = [
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"Carlos Coelho <carlos@logspace.ai>",
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"Cristhian Zanforlin <cristhian.lousa@gmail.com>",
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"Gabriel Almeida <gabriel@logspace.ai>",
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"Gustavo Schaedler <gustavopoa@gmail.com>",
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"Igor Carvalho <igorr.ackerman@gmail.com>",
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"Lucas Eduoli <lucaseduoli@gmail.com>",
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"Otávio Anovazzi <otavio2204@gmail.com>",
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"Rodrigo Nader <rodrigo@logspace.ai>",
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]
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repository = "https://github.com/logspace-ai/langflow"
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license = "MIT"
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readme = "README.md"
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keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
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packages = [{ include = "langflow", from = "src/backend" }]
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include = ["src/backend/langflow/*", "src/backend/langflow/**/*"]
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documentation = "https://docs.langflow.org"
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[tool.poetry.scripts]
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langflow = "langflow.__main__:main"
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[tool.poetry.dependencies]
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python = ">=3.9,<3.11"
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fastapi = "^0.104.0"
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uvicorn = "^0.23.0"
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beautifulsoup4 = "^4.12.2"
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google-search-results = "^2.4.1"
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google-api-python-client = "^2.79.0"
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typer = "^0.9.0"
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gunicorn = "^21.2.0"
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langchain = "~0.0.327"
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openai = "^0.27.8"
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pandas = "2.0.3"
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chromadb = "^0.4.0"
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huggingface-hub = { version = "^0.16.0", extras = ["inference"] }
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rich = "^13.6.0"
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llama-cpp-python = { version = "~0.2.0", optional = true }
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networkx = "^3.1"
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unstructured = "^0.10.0"
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pypdf = "^3.17.0"
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lxml = "^4.9.2"
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pysrt = "^1.1.2"
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fake-useragent = "^1.3.0"
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docstring-parser = "^0.15"
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psycopg2-binary = "^2.9.6"
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pyarrow = "^14.0.0"
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tiktoken = "~0.5.0"
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wikipedia = "^1.4.0"
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qdrant-client = "^1.4.0"
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websockets = "^10.3"
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weaviate-client = "^3.23.0"
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jina = "3.15.2"
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sentence-transformers = { version = "^2.2.2", optional = true }
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ctransformers = { version = "^0.2.10", optional = true }
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cohere = "^4.32.0"
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python-multipart = "^0.0.6"
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# install sqlmodel using https://github.com/honglei/sqlmodel.git
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sqlmodel = { git = "https://github.com/honglei/sqlmodel.git", branch = "main" }
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faiss-cpu = "^1.7.4"
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anthropic = "^0.5.0"
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orjson = "3.9.3"
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multiprocess = "^0.70.14"
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cachetools = "^5.3.1"
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types-cachetools = "^5.3.0.5"
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platformdirs = "^3.11.0"
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pinecone-client = "^2.2.2"
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pymongo = "^4.5.0"
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supabase = "^2.0.3"
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certifi = "^2023.5.7"
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google-cloud-aiplatform = "^1.36.0"
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psycopg = "^3.1.9"
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psycopg-binary = "^3.1.9"
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fastavro = "^1.8.0"
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langchain-experimental = "*"
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celery = { extras = ["redis"], version = "^5.3.1", optional = true }
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redis = { version = "^4.6.0", optional = true }
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flower = { version = "^2.0.0", optional = true }
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alembic = "^1.12.0"
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passlib = "^1.7.4"
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bcrypt = "^4.0.1"
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python-jose = "^3.3.0"
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metaphor-python = "^0.1.11"
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pydantic = "^2.4.0"
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pydantic-settings = "^2.0.3"
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zep-python = { version = "^1.3.0", allow-prereleases = true }
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pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }
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loguru = "^0.7.1"
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langfuse = "^1.1.11"
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pillow = "^10.0.0"
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metal-sdk = "^2.4.0"
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markupsafe = "^2.1.3"
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extract-msg = "^0.45.0"
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jq = "^1.6.0"
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boto3 = "^1.28.63"
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numexpr = "^2.8.6"
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qianfan = "0.0.5"
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pgvector = "^0.2.3"
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[tool.poetry.group.dev.dependencies]
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types-redis = "^4.6.0.5"
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black = "^23.10.0"
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ipykernel = "^6.21.2"
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mypy = "^1.6.1"
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ruff = "^0.1.5"
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httpx = "*"
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pytest = "^7.4.2"
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types-requests = "^2.31.0"
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requests = "^2.31.0"
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pytest-cov = "^4.1.0"
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pandas-stubs = "^2.0.0.230412"
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types-pillow = "^9.5.0.2"
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types-pyyaml = "^6.0.12.8"
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types-python-jose = "^3.3.4.8"
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types-passlib = "^1.7.7.13"
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locust = "^2.16.1"
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pytest-mock = "^3.11.1"
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pytest-xdist = "^3.3.1"
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types-pywin32 = "^306.0.0.4"
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types-google-cloud-ndb = "^2.2.0.0"
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pytest-sugar = "^0.9.7"
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[tool.poetry.extras]
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deploy = ["langchain-serve", "celery", "redis", "flower"]
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local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
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all = ["deploy", "local"]
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[tool.pytest.ini_options]
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minversion = "6.0"
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addopts = "-ra"
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testpaths = ["tests", "integration"]
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console_output_style = "progress"
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filterwarnings = ["ignore::DeprecationWarning"]
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log_cli = true
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markers = ["async_test"]
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[tool.ruff]
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line-length = 120
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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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