diff --git a/poetry.lock b/poetry.lock index a86a3523..de0be321 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. [[package]] name = "accessible-pygments" @@ -6,7 +6,6 @@ version = "0.0.5" description = "A collection of accessible pygments styles" optional = false python-versions = ">=3.9" -groups = ["docs"] files = [ {file = "accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7"}, {file = "accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872"}, @@ -25,8 +24,6 @@ version = "2.4.6" description = "Happy Eyeballs for asyncio" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"}, {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = "sha256:9b05052f9042985d32ecbe4b59a77ae19c006a78f1344d7fdad69d28ded3d0b0"}, @@ -38,8 +35,6 @@ version = "3.11.12" description = "Async http client/server framework (asyncio)" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "aiohttp-3.11.12-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:aa8a8caca81c0a3e765f19c6953416c58e2f4cc1b84829af01dd1c771bb2f91f"}, {file = "aiohttp-3.11.12-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:84ede78acde96ca57f6cf8ccb8a13fbaf569f6011b9a52f870c662d4dc8cd854"}, @@ -143,8 +138,6 @@ version = "1.2.1" description = "asyncio rate limiter, a leaky bucket implementation" optional = true python-versions = "<4.0,>=3.8" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "aiolimiter-1.2.1-py3-none-any.whl", hash = "sha256:d3f249e9059a20badcb56b61601a83556133655c11d1eb3dd3e04ff069e5f3c7"}, {file = "aiolimiter-1.2.1.tar.gz", hash = "sha256:e02a37ea1a855d9e832252a105420ad4d15011505512a1a1d814647451b5cca9"}, @@ -156,8 +149,6 @@ version = "1.3.2" description = "aiosignal: a list of registered asynchronous callbacks" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"}, {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"}, @@ -172,7 +163,6 @@ version = "0.7.16" description = "A light, configurable Sphinx theme" optional = false python-versions = ">=3.9" -groups = ["docs"] files = [ {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"}, {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"}, @@ -184,7 +174,6 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -196,8 +185,6 @@ version = "4.8.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"openai\" or extra == \"cohere\" or extra == \"mistralai\"" files = [ {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"}, {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"}, @@ -220,8 +207,6 @@ version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false python-versions = ">=3.6" -groups = ["dev", "docs"] -markers = "platform_system == \"Darwin\"" files = [ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, @@ -233,7 +218,6 @@ version = "3.3.8" description = "An abstract syntax tree for Python with inference support." optional = false python-versions = ">=3.9.0" -groups = ["dev"] files = [ {file = "astroid-3.3.8-py3-none-any.whl", hash = "sha256:187ccc0c248bfbba564826c26f070494f7bc964fd286b6d9fff4420e55de828c"}, {file = "astroid-3.3.8.tar.gz", hash = "sha256:a88c7994f914a4ea8572fac479459f4955eeccc877be3f2d959a33273b0cf40b"}, @@ -248,7 +232,6 @@ version = "3.0.0" description = "Annotate AST trees with source code positions" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"}, {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"}, @@ -264,8 +247,6 @@ version = "5.0.1" description = "Timeout context manager for asyncio programs" optional = false python-versions = ">=3.8" -groups = ["main"] -markers = "python_full_version < \"3.11.3\"" files = [ {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"}, {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"}, @@ -277,12 +258,10 @@ version = "25.1.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" -groups = ["main", "dev", "docs"] files = [ {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"}, {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"}, ] -markers = {main = "extra == \"voyageai\""} [package.extras] benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] @@ -298,7 +277,6 @@ version = "2.17.0" description = "Internationalization utilities" optional = false python-versions = ">=3.8" -groups = ["docs"] files = [ {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"}, {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"}, @@ -313,7 +291,6 @@ version = "4.13.3" description = "Screen-scraping library" optional = false python-versions = ">=3.7.0" -groups = ["docs"] files = [ {file = "beautifulsoup4-4.13.3-py3-none-any.whl", hash = "sha256:99045d7d3f08f91f0d656bc9b7efbae189426cd913d830294a15eefa0ea4df16"}, {file = "beautifulsoup4-4.13.3.tar.gz", hash = "sha256:1bd32405dacc920b42b83ba01644747ed77456a65760e285fbc47633ceddaf8b"}, @@ -336,7 +313,6 @@ version = "25.1.0" description = "The uncompromising code formatter." optional = false python-versions = ">=3.9" -groups = ["dev"] files = [ {file = "black-25.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:759e7ec1e050a15f89b770cefbf91ebee8917aac5c20483bc2d80a6c3a04df32"}, {file = "black-25.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e519ecf93120f34243e6b0054db49c00a35f84f195d5bce7e9f5cfc578fc2da"}, @@ -383,7 +359,6 @@ version = "6.2.0" description = "An easy safelist-based HTML-sanitizing tool." optional = false python-versions = ">=3.9" -groups = ["docs"] files = [ {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"}, {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"}, @@ -402,8 +377,6 @@ version = "1.36.18" description = "The AWS SDK for Python" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"bedrock\"" files = [ {file = "boto3-1.36.18-py3-none-any.whl", hash = "sha256:084ff25af2d7bda3102d6367f5453e2e83f8cde1da73079ea144595b03cb9400"}, {file = "boto3-1.36.18.tar.gz", hash = "sha256:be8e32c34d7b103a64fafdd277fa1ec136733b4bbfc11dcfa597efa36a820b37"}, @@ -423,8 +396,6 @@ version = "1.36.18" description = "Low-level, data-driven core of boto 3." optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"bedrock\"" files = [ {file = "botocore-1.36.18-py3-none-any.whl", hash = "sha256:7898d109affd9231c555e71fda88308c1da2db8d39e83d33eb8cb40ebf1ba82f"}, {file = "botocore-1.36.18.tar.gz", hash = "sha256:ddadafe460e91f11677720a2fcc3ea09c4abb914de2b000da7ba46b4c97da3d7"}, @@ -447,8 +418,6 @@ version = "5.5.1" description = "Extensible memoizing collections and decorators" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "cachetools-5.5.1-py3-none-any.whl", hash = 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-groups = ["dev", "docs"] files = [ {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"}, {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"}, @@ -543,7 +509,6 @@ files = [ {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"}, {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"}, ] -markers = {dev = "implementation_name == \"pypy\" or platform_python_implementation != \"PyPy\"", docs = "implementation_name == \"pypy\""} [package.dependencies] pycparser = "*" @@ -554,7 +519,6 @@ version = "3.4.0" description = "Validate configuration and produce human readable error messages." optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, @@ -566,7 +530,6 @@ version = "3.4.1" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" -groups = ["main", "dev", "docs"] files = [ {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"}, {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"}, @@ -661,7 +624,6 @@ files = [ {file = "charset_normalizer-3.4.1-py3-none-any.whl", hash = "sha256:d98b1668f06378c6dbefec3b92299716b931cd4e6061f3c875a71ced1780ab85"}, {file = "charset_normalizer-3.4.1.tar.gz", hash = "sha256:44251f18cd68a75b56585dd00dae26183e102cd5e0f9f1466e6df5da2ed64ea3"}, ] -markers = {main = "extra == \"sentence-transformers\" or extra == \"cohere\" or extra == \"vertexai\" or extra == \"voyageai\""} [[package]] name = "click" @@ -669,7 +631,6 @@ version = "8.1.8" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.7" -groups = ["dev", "docs"] files = [ {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"}, {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"}, @@ -684,8 +645,6 @@ version = "5.13.12" description = "" optional = true python-versions = "<4.0,>=3.9" -groups = ["main"] -markers = "extra == \"cohere\"" files = [ {file = "cohere-5.13.12-py3-none-any.whl", hash = "sha256:2a043591a3e5280b47716a6b311e4c7f58e799364113a9cb81b50cd4f6c95f7e"}, {file = "cohere-5.13.12.tar.gz", hash = "sha256:97bb9ac107e580780b941acbabd3aa5e71960e6835398292c46aaa8a0a4cab88"}, @@ -708,12 +667,10 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -groups = ["main", "dev", "docs"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -markers = {main = "(extra == \"sentence-transformers\" or extra == \"cohere\" or extra == \"openai\") and platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\"", docs = "platform_system == \"Windows\" or sys_platform == \"win32\""} [[package]] name = "coloredlogs" @@ -721,7 +678,6 @@ version = "15.0.1" description = "Colored terminal output for Python's logging module" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -groups = ["main"] files = [ {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"}, {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"}, @@ -739,7 +695,6 @@ version = "0.2.2" description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"}, {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"}, @@ -757,7 +712,6 @@ version = "7.6.12" description = "Code coverage measurement for Python" optional = false python-versions = ">=3.9" -groups = ["dev"] files = [ {file = "coverage-7.6.12-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:704c8c8c6ce6569286ae9622e534b4f5b9759b6f2cd643f1c1a61f666d534fe8"}, {file = "coverage-7.6.12-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ad7525bf0241e5502168ae9c643a2f6c219fa0a283001cee4cf23a9b7da75879"}, @@ -833,7 +787,6 @@ version = "44.0.1" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." optional = false python-versions = "!=3.9.0,!=3.9.1,>=3.7" -groups = ["dev"] files = [ {file = "cryptography-44.0.1-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf688f615c29bfe9dfc44312ca470989279f0e94bb9f631f85e3459af8efc009"}, {file = "cryptography-44.0.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd7c7e2d71d908dc0f8d2027e1604102140d84b155e658c20e8ad1304317691f"}, @@ -887,7 +840,6 @@ version = "1.8.12" description = "An implementation of the Debug Adapter Protocol for Python" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "debugpy-1.8.12-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:a2ba7ffe58efeae5b8fad1165357edfe01464f9aef25e814e891ec690e7dd82a"}, {file = "debugpy-1.8.12-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cbbd4149c4fc5e7d508ece083e78c17442ee13b0e69bfa6bd63003e486770f45"}, @@ -923,7 +875,6 @@ version = "5.1.1" description = "Decorators for Humans" optional = false python-versions = ">=3.5" -groups = ["dev", "docs"] files = [ {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"}, {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, @@ -935,7 +886,6 @@ version = "0.7.1" description = "XML bomb protection for Python stdlib modules" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -groups = ["docs"] files = [ {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, @@ -947,7 +897,6 @@ version = "0.3.9" description = "serialize all of Python" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "dill-0.3.9-py3-none-any.whl", hash = "sha256:468dff3b89520b474c0397703366b7b95eebe6303f108adf9b19da1f702be87a"}, {file = "dill-0.3.9.tar.gz", hash = "sha256:81aa267dddf68cbfe8029c42ca9ec6a4ab3b22371d1c450abc54422577b4512c"}, @@ -963,7 +912,6 @@ version = "0.3.9" description = "Distribution utilities" optional = false python-versions = "*" -groups = ["dev"] files = [ {file = "distlib-0.3.9-py2.py3-none-any.whl", hash = "sha256:47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87"}, {file = "distlib-0.3.9.tar.gz", hash = "sha256:a60f20dea646b8a33f3e7772f74dc0b2d0772d2837ee1342a00645c81edf9403"}, @@ -975,8 +923,6 @@ version = "1.9.0" description = "Distro - an OS platform information API" optional = true python-versions = ">=3.6" -groups = ["main"] -markers = "extra == \"openai\"" files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = 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= "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"}, @@ -1024,7 +967,6 @@ version = "0.21.2" description = "Docutils -- Python Documentation Utilities" optional = false python-versions = ">=3.9" -groups = ["docs"] files = [ {file = "docutils-0.21.2-py3-none-any.whl", hash = "sha256:dafca5b9e384f0e419294eb4d2ff9fa826435bf15f15b7bd45723e8ad76811b2"}, {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"}, @@ -1036,8 +978,6 @@ version = "0.2.2" description = "Like `typing._eval_type`, but lets older Python versions use newer typing features." optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"mistralai\"" files = [ {file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"}, {file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"}, @@ -1052,12 +992,10 @@ version = "1.2.2" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" -groups = ["main", "dev", "docs"] files = [ {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}, ] -markers = {main = "(extra == \"openai\" or extra == \"cohere\" or extra == \"mistralai\") and python_version < \"3.11\"", dev = "python_version < \"3.11\"", docs = "python_version < \"3.11\""} [package.extras] test = ["pytest (>=6)"] @@ -1068,7 +1006,6 @@ version = "2.1.1" description = "execnet: rapid multi-Python deployment" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"}, {file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"}, @@ -1083,7 +1020,6 @@ version = "2.2.0" description = "Get the currently executing AST node of a frame, and other information" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa"}, {file = "executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755"}, @@ -1098,8 +1034,6 @@ version = "1.10.0" description = "Fast read/write of AVRO files" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"cohere\"" files = [ {file = "fastavro-1.10.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1a9fe0672d2caf0fe54e3be659b13de3cad25a267f2073d6f4b9f8862acc31eb"}, {file = "fastavro-1.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86dd0410770e0c99363788f0584523709d85e57bb457372ec5c285a482c17fe6"}, @@ -1146,7 +1080,6 @@ version = "2.21.1" description = "Fastest Python implementation of JSON schema" optional = false python-versions = "*" -groups = ["dev", "docs"] files = [ {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"}, {file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"}, @@ -1161,12 +1094,10 @@ version = "3.17.0" description = "A platform independent file lock." optional = false python-versions = ">=3.9" -groups = ["main", "dev"] files = [ {file = "filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338"}, {file = "filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e"}, ] -markers = {main = "extra == \"sentence-transformers\" or extra == \"cohere\""} [package.extras] docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"] @@ -1179,8 +1110,6 @@ version = "1.5.0" description = "A list-like structure which implements collections.abc.MutableSequence" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"}, {file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"}, @@ -1282,8 +1211,6 @@ version = "2025.2.0" description = "File-system specification" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"sentence-transformers\" or extra == \"cohere\"" files = [ {file = "fsspec-2025.2.0-py3-none-any.whl", hash = "sha256:9de2ad9ce1f85e1931858535bc882543171d197001a0a5eb2ddc04f1781ab95b"}, {file = "fsspec-2025.2.0.tar.gz", hash = "sha256:1c24b16eaa0a1798afa0337aa0db9b256718ab2a89c425371f5628d22c3b6afd"}, @@ -1323,8 +1250,6 @@ version = "2.24.1" description = "Google API client core library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_api_core-2.24.1-py3-none-any.whl", hash = "sha256:bc78d608f5a5bf853b80bd70a795f703294de656c096c0968320830a4bc280f1"}, {file = "google_api_core-2.24.1.tar.gz", hash = "sha256:f8b36f5456ab0dd99a1b693a40a31d1e7757beea380ad1b38faaf8941eae9d8a"}, @@ -1360,8 +1285,6 @@ version = "2.38.0" description = "Google Authentication Library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"}, {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"}, @@ -1386,8 +1309,6 @@ version = "1.79.0" description = "Vertex AI API client library" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_cloud_aiplatform-1.79.0-py2.py3-none-any.whl", hash = "sha256:e52d518c386ce2b4ce57f1b73b46c57531d9a6ccd70c21a37b349f428bfc1c3f"}, {file = "google_cloud_aiplatform-1.79.0.tar.gz", hash = "sha256:362bfd16716dcfb6c131736f25246790002b29c99a246fcf4c08a7c71bd2301f"}, @@ -1436,8 +1357,6 @@ version = "3.29.0" description = "Google BigQuery API client library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_cloud_bigquery-3.29.0-py2.py3-none-any.whl", hash = "sha256:5453a4eabe50118254eda9778f3d7dad413490de5f7046b5e66c98f5a1580308"}, {file = "google_cloud_bigquery-3.29.0.tar.gz", hash = "sha256:fafc2b455ffce3bcc6ce0e884184ef50b6a11350a83b91e327fadda4d5566e72"}, @@ -1469,8 +1388,6 @@ version = "2.4.1" description = "Google Cloud API client core library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"}, {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"}, @@ -1489,8 +1406,6 @@ version = "1.14.0" description = "Google Cloud Resource Manager API client library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_cloud_resource_manager-1.14.0-py2.py3-none-any.whl", hash = "sha256:4860c3ea9ace760b317ea90d4e27f1b32e54ededdcc340a7cb70c8ef238d8f7c"}, {file = "google_cloud_resource_manager-1.14.0.tar.gz", hash = "sha256:daa70a3a4704759d31f812ed221e3b6f7b660af30c7862e4a0060ea91291db30"}, @@ -1512,8 +1427,6 @@ version = "2.19.0" description = "Google Cloud Storage API client library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_cloud_storage-2.19.0-py2.py3-none-any.whl", hash = "sha256:aeb971b5c29cf8ab98445082cbfe7b161a1f48ed275822f59ed3f1524ea54fba"}, {file = "google_cloud_storage-2.19.0.tar.gz", hash = "sha256:cd05e9e7191ba6cb68934d8eb76054d9be4562aa89dbc4236feee4d7d51342b2"}, @@ -1537,8 +1450,6 @@ version = "1.6.0" description = "A python wrapper of the C library 'Google CRC32C'" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_crc32c-1.6.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:5bcc90b34df28a4b38653c36bb5ada35671ad105c99cfe915fb5bed7ad6924aa"}, {file = "google_crc32c-1.6.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:d9e9913f7bd69e093b81da4535ce27af842e7bf371cde42d1ae9e9bd382dc0e9"}, @@ -1578,8 +1489,6 @@ version = "2.7.2" description = "Utilities for Google Media Downloads and Resumable Uploads" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "google_resumable_media-2.7.2-py2.py3-none-any.whl", hash = "sha256:3ce7551e9fe6d99e9a126101d2536612bb73486721951e9562fee0f90c6ababa"}, {file = "google_resumable_media-2.7.2.tar.gz", hash = "sha256:5280aed4629f2b60b847b0d42f9857fd4935c11af266744df33d8074cae92fe0"}, @@ -1598,8 +1507,6 @@ version = "1.66.0" description = "Common protobufs used in Google APIs" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "googleapis_common_protos-1.66.0-py2.py3-none-any.whl", hash = "sha256:d7abcd75fabb2e0ec9f74466401f6c119a0b498e27370e9be4c94cb7e382b8ed"}, {file = "googleapis_common_protos-1.66.0.tar.gz", hash = "sha256:c3e7b33d15fdca5374cc0a7346dd92ffa847425cc4ea941d970f13680052ec8c"}, @@ -1618,8 +1525,6 @@ version = "3.1.1" description = "Lightweight in-process concurrent programming" optional = false python-versions = ">=3.7" -groups = ["docs"] -markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\"" files = [ {file = "greenlet-3.1.1-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:0bbae94a29c9e5c7e4a2b7f0aae5c17e8e90acbfd3bf6270eeba60c39fce3563"}, {file = "greenlet-3.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0fde093fb93f35ca72a556cf72c92ea3ebfda3d79fc35bb19fbe685853869a83"}, @@ -1706,8 +1611,6 @@ version = "0.14.0" description = "IAM API client library" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "grpc_google_iam_v1-0.14.0-py2.py3-none-any.whl", hash = "sha256:fb4a084b30099ba3ab07d61d620a0d4429570b13ff53bd37bac75235f98b7da4"}, {file = "grpc_google_iam_v1-0.14.0.tar.gz", hash = "sha256:c66e07aa642e39bb37950f9e7f491f70dad150ac9801263b42b2814307c2df99"}, @@ -1724,8 +1627,6 @@ version = "1.70.0" description = "HTTP/2-based RPC framework" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "grpcio-1.70.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:95469d1977429f45fe7df441f586521361e235982a0b39e33841549143ae2851"}, {file = "grpcio-1.70.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:ed9718f17fbdb472e33b869c77a16d0b55e166b100ec57b016dc7de9c8d236bf"}, @@ -1793,8 +1694,6 @@ version = "1.70.0" description = "Status proto mapping for gRPC" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "grpcio_status-1.70.0-py3-none-any.whl", hash = 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["dev", "docs"] files = [ {file = "importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"}, {file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"}, ] -markers = {dev = "python_version < \"3.10\""} [package.dependencies] zipp = ">=3.20" @@ -2005,7 +1887,6 @@ version = "2.0.0" description = "brain-dead simple config-ini parsing" optional = false python-versions = ">=3.7" -groups = ["dev"] files = [ {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, @@ -2017,7 +1898,6 @@ version = "6.29.5" description = "IPython Kernel for Jupyter" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "ipykernel-6.29.5-py3-none-any.whl", hash = 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"sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"}, @@ -2104,7 +1982,6 @@ version = "0.19.2" description = "An autocompletion tool for Python that can be used for text editors." optional = false python-versions = ">=3.6" -groups = ["dev", "docs"] files = [ {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"}, @@ -2124,7 +2001,6 @@ version = "3.1.5" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" -groups = ["main", "docs"] files = [ {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"}, {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"}, @@ -2142,8 +2018,6 @@ version = "0.8.2" description = "Fast iterable JSON parser." optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"openai\"" files = [ {file = "jiter-0.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ca8577f6a413abe29b079bc30f907894d7eb07a865c4df69475e868d73e71c7b"}, {file = "jiter-0.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b25bd626bde7fb51534190c7e3cb97cee89ee76b76d7585580e22f34f5e3f393"}, @@ -2229,8 +2103,6 @@ version = "1.0.1" description = "JSON Matching Expressions" optional = true python-versions = ">=3.7" -groups = ["main"] -markers = "extra == \"bedrock\"" files = [ {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"}, {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"}, @@ -2242,8 +2114,6 @@ version = "1.4.2" description = "Lightweight pipelining with Python functions" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"sentence-transformers\"" files = [ {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"}, {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"}, @@ -2255,8 +2125,6 @@ version = "1.0.6" description = "A more powerful JSONPath implementation in modern python" optional = true python-versions = ">=3.6" -groups = ["main"] -markers = "extra == \"mistralai\"" files = [ {file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"}, {file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"}, @@ -2268,7 +2136,6 @@ version = "4.23.0" description = "An implementation of JSON Schema validation for Python" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"}, {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"}, @@ -2290,7 +2157,6 @@ version = "2024.10.1" description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" optional = false python-versions = ">=3.9" -groups = ["dev", "docs"] files = [ {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash = "sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"}, {file = "jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"}, @@ -2305,7 +2171,6 @@ version = "1.0.1" description = "A defined interface for working with a cache of jupyter notebooks." optional = false python-versions = ">=3.9" -groups = ["docs"] files = [ {file = "jupyter_cache-1.0.1-py3-none-any.whl", hash = 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A base package on which Jupyter projects rely." optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"}, {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"}, @@ -2378,7 +2241,6 @@ version = "0.3.0" description = "Pygments theme using JupyterLab CSS variables" optional = false python-versions = ">=3.8" -groups = ["docs"] files = [ {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"}, {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"}, @@ -2390,7 +2252,6 @@ version = "3.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = false python-versions = ">=3.8" -groups = ["docs"] files = [ {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"}, {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"}, @@ -2415,7 +2276,6 @@ version = "3.0.2" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" -groups = ["main", "docs"] files = [ {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"}, {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"}, @@ -2486,7 +2346,6 @@ version = "0.1.7" description = "Inline Matplotlib backend for Jupyter" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"}, {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"}, @@ -2501,7 +2360,6 @@ version = "0.7.0" description = "McCabe checker, plugin for flake8" optional = false python-versions = ">=3.6" -groups = ["dev"] files = [ {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"}, {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"}, @@ -2513,7 +2371,6 @@ version = "0.4.2" description = "Collection of plugins for markdown-it-py" optional = false python-versions = ">=3.8" -groups = ["docs"] files = [ {file = "mdit_py_plugins-0.4.2-py3-none-any.whl", hash = "sha256:0c673c3f889399a33b95e88d2f0d111b4447bdfea7f237dab2d488f459835636"}, {file = "mdit_py_plugins-0.4.2.tar.gz", hash = "sha256:5f2cd1fdb606ddf152d37ec30e46101a60512bc0e5fa1a7002c36647b09e26b5"}, @@ -2533,7 +2390,6 @@ version = "0.1.2" description = "Markdown URL utilities" optional = false python-versions = ">=3.7" -groups = ["docs"] files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -2545,8 +2401,6 @@ version = "1.5.0" description = "Python Client SDK for the Mistral AI API." optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"mistralai\"" files = [ {file = "mistralai-1.5.0-py3-none-any.whl", hash = "sha256:9372537719f87bd6f9feef4747d0bf1f4fbe971f8c02945ca4b4bf3c94571c97"}, {file = "mistralai-1.5.0.tar.gz", hash = "sha256:fd94bc93bc25aad9c6dd8005b1a0bc4ba1250c6b3fbf855a49936989cc6e5c0d"}, @@ -2569,7 +2423,6 @@ version = "3.1.1" description = "A sane and fast Markdown parser with useful plugins and renderers" optional = false python-versions = ">=3.8" -groups = ["docs"] files = [ {file = "mistune-3.1.1-py3-none-any.whl", hash = "sha256:02106ac2aa4f66e769debbfa028509a275069dcffce0dfa578edd7b991ee700a"}, {file = "mistune-3.1.1.tar.gz", hash = "sha256:e0740d635f515119f7d1feb6f9b192ee60f0cc649f80a8f944f905706a21654c"}, @@ -2584,7 +2437,6 @@ version = "0.4.1" description = "" optional = false python-versions = ">=3.9" -groups = ["main"] files = [ {file = "ml_dtypes-0.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1fe8b5b5e70cd67211db94b05cfd58dace592f24489b038dc6f9fe347d2e07d5"}, {file = "ml_dtypes-0.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c09a6d11d8475c2a9fd2bc0695628aec105f97cab3b3a3fb7c9660348ff7d24"}, @@ -2622,8 +2474,6 @@ version = "1.3.0" description = "Python library for arbitrary-precision floating-point arithmetic" optional = true python-versions = "*" -groups = ["main"] -markers = "extra == \"sentence-transformers\"" files = [ {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"}, {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"}, @@ -2641,8 +2491,6 @@ version = "6.1.0" description = "multidict implementation" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"}, {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"}, @@ -2747,7 +2595,6 @@ version = "1.9.0" description = "Optional static typing for Python" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "mypy-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f8a67616990062232ee4c3952f41c779afac41405806042a8126fe96e098419f"}, {file = "mypy-1.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d357423fa57a489e8c47b7c85dfb96698caba13d66e086b412298a1a0ea3b0ed"}, @@ -2795,12 +2642,10 @@ version = "1.0.0" description = "Type system extensions for programs checked with the mypy type checker." optional = false python-versions = ">=3.5" -groups = ["main", "dev"] files = [ {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"}, {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"}, ] -markers = {main = "extra == \"mistralai\""} [[package]] name = "myst-nb" @@ -2808,7 +2653,6 @@ version = "1.2.0" description = "A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser." optional = false python-versions = ">=3.9" -groups = ["docs"] files = [ {file = "myst_nb-1.2.0-py3-none-any.whl", hash = "sha256:0e09909877848c0cf45e1aecee97481512efa29a0c4caa37870a03bba11c56c1"}, {file = "myst_nb-1.2.0.tar.gz", hash = "sha256:af459ec753b341952182b45b0a80b4776cebf80c9ee6aaca2a3f4027b440c9de"}, @@ -2837,7 +2681,6 @@ version = "3.0.1" description = "An extended [CommonMark](https://spec.commonmark.org/) compliant parser," optional = false python-versions = ">=3.8" -groups = ["docs"] files = [ {file = "myst_parser-3.0.1-py3-none-any.whl", hash = "sha256:6457aaa33a5d474aca678b8ead9b3dc298e89c68e67012e73146ea6fd54babf1"}, {file = "myst_parser-3.0.1.tar.gz", hash = "sha256:88f0cb406cb363b077d176b51c476f62d60604d68a8dcdf4832e080441301a87"}, @@ -2864,7 +2707,6 @@ version = "0.10.2" description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." optional = false python-versions = ">=3.9.0" -groups = ["docs"] files = [ {file = "nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d"}, {file = "nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193"}, @@ -2887,7 +2729,6 @@ version = "7.16.6" description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)." optional = false python-versions = ">=3.8" -groups = ["docs"] files = [ {file = "nbconvert-7.16.6-py3-none-any.whl", hash = "sha256:1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b"}, {file = "nbconvert-7.16.6.tar.gz", hash = "sha256:576a7e37c6480da7b8465eefa66c17844243816ce1ccc372633c6b71c3c0f582"}, @@ -2925,7 +2766,6 @@ version = "5.10.4" description = "The Jupyter Notebook format" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"}, @@ -2947,7 +2787,6 @@ version = "0.9.6" description = "Jupyter Notebook Tools for Sphinx" optional = false python-versions = ">=3.6" -groups = ["docs"] files = [ {file = "nbsphinx-0.9.6-py3-none-any.whl", hash = "sha256:336b0b557945a7678ec7449b16449f854bc852a435bb53b8a72e6b5dc740d992"}, {file = "nbsphinx-0.9.6.tar.gz", hash = "sha256:c2b28a2d702f1159a95b843831798e86e60a17fc647b9bff9ba1585355de54e3"}, @@ -2967,7 +2806,6 @@ version = "0.11.0" description = "A py.test plugin to validate Jupyter notebooks" optional = false python-versions = ">=3.7, <4" -groups = ["dev"] files = [ {file = "nbval-0.11.0-py2.py3-none-any.whl", hash = "sha256:307aecc866c9a1e8a13bb5bbb008a702bacfda2394dff6fe504a3108a58042a0"}, {file = "nbval-0.11.0.tar.gz", hash = "sha256:77c95797607b0a968babd2597ee3494102d25c3ad37435debbdac0e46e379094"}, @@ -2986,7 +2824,6 @@ version = "1.6.0" description = "Patch asyncio to allow nested event loops" optional = false python-versions = ">=3.5" -groups = ["dev", "docs"] files = [ {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, @@ -2998,8 +2835,6 @@ version = "3.2.1" description = "Python package for creating and manipulating graphs and networks" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"sentence-transformers\"" files = [ {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"}, {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"}, @@ -3018,7 +2853,6 @@ version = "1.9.1" description = "Node.js virtual environment builder" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -groups = ["dev"] files = [ {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"}, {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"}, @@ -3030,8 +2864,6 @@ version = "1.26.4" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.9" -groups = ["main"] -markers = "python_version < \"3.12\"" files = [ {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, @@ -3077,8 +2909,6 @@ version = "2.2.2" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.10" -groups = ["main"] -markers = "python_version >= \"3.12\"" files = [ {file = "numpy-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7079129b64cb78bdc8d611d1fd7e8002c0a2565da6a47c4df8062349fee90e3e"}, {file = "numpy-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ec6c689c61df613b783aeb21f945c4cbe6c51c28cb70aae8430577ab39f163e"}, @@ -3143,8 +2973,6 @@ version = "12.4.5.8" description = "CUBLAS native runtime libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0f8aa1706812e00b9f19dfe0cdb3999b092ccb8ca168c0db5b8ea712456fd9b3"}, {file = "nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl", hash = "sha256:2fc8da60df463fdefa81e323eef2e36489e1c94335b5358bcb38360adf75ac9b"}, @@ -3157,8 +2985,6 @@ version = "12.4.127" description = "CUDA profiling tools runtime libs." optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:79279b35cf6f91da114182a5ce1864997fd52294a87a16179ce275773799458a"}, {file = "nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9dec60f5ac126f7bb551c055072b69d85392b13311fcc1bcda2202d172df30fb"}, @@ -3171,8 +2997,6 @@ version = "12.4.127" description = "NVRTC native runtime libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0eedf14185e04b76aa05b1fea04133e59f465b6f960c0cbf4e37c3cb6b0ea198"}, {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a178759ebb095827bd30ef56598ec182b85547f1508941a3d560eb7ea1fbf338"}, @@ -3185,8 +3009,6 @@ version = "12.4.127" description = "CUDA Runtime native Libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3"}, {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5"}, @@ -3199,8 +3021,6 @@ version = "9.1.0.70" description = "cuDNN runtime libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"}, {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"}, @@ -3215,8 +3035,6 @@ version = "11.2.1.3" description = "CUFFT native runtime libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"}, {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9"}, @@ -3232,8 +3050,6 @@ version = "10.3.5.147" description = "CURAND native runtime libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9"}, {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b"}, @@ -3246,8 +3062,6 @@ version = "11.6.1.9" description = "CUDA solver native runtime libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"}, {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"}, @@ -3265,8 +3079,6 @@ version = "12.3.1.170" description = "CUSPARSE native runtime libraries" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"}, {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"}, @@ -3282,8 +3094,6 @@ version = "0.6.2" description = "NVIDIA cuSPARSELt" optional = true python-versions = "*" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:067a7f6d03ea0d4841c85f0c6f1991c5dda98211f6302cb83a4ab234ee95bef8"}, {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:df2c24502fd76ebafe7457dbc4716b2fec071aabaed4fb7691a201cde03704d9"}, @@ -3296,8 +3106,6 @@ version = "2.21.5" description = "NVIDIA Collective Communication Library (NCCL) Runtime" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"}, ] @@ -3308,8 +3116,6 @@ version = "12.4.127" description = "Nvidia JIT LTO Library" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83"}, {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"}, @@ -3322,8 +3128,6 @@ version = "12.4.127" description = "NVIDIA Tools Extension" optional = true python-versions = ">=3" -groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and extra == \"sentence-transformers\"" files = [ {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3"}, {file = "nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a"}, @@ -3336,8 +3140,6 @@ version = "1.61.1" description = "The official Python library for the openai API" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"openai\"" files = [ {file = "openai-1.61.1-py3-none-any.whl", hash = "sha256:72b0826240ce26026ac2cd17951691f046e5be82ad122d20a8e1b30ca18bd11e"}, {file = "openai-1.61.1.tar.gz", hash = "sha256:ce1851507218209961f89f3520e06726c0aa7d0512386f0f977e3ac3e4f2472e"}, @@ -3363,12 +3165,10 @@ version = "24.2" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" -groups = ["main", "dev", "docs"] files = [ {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"}, {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"}, ] -markers = {main = "extra == \"sentence-transformers\" or extra == \"cohere\" or extra == \"vertexai\""} [[package]] name = "pandocfilters" @@ -3376,7 +3176,6 @@ version = "1.5.1" description = "Utilities for writing pandoc filters in python" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -groups = ["docs"] files = [ {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"}, @@ -3388,7 +3187,6 @@ version = "0.8.4" description = "A Python Parser" optional = false python-versions = ">=3.6" -groups = ["dev", "docs"] files = [ {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"}, {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"}, @@ -3404,7 +3202,6 @@ version = "0.12.1" description = "Utility library for gitignore style pattern matching of file paths." optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "pathspec-0.12.1-py3-none-any.whl", hash = "sha256:a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08"}, {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"}, @@ -3416,8 +3213,6 @@ version = "4.9.0" description = "Pexpect allows easy control of interactive console applications." optional = false python-versions = "*" -groups = ["dev", "docs"] -markers = "sys_platform != \"win32\"" files = [ {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, @@ -3432,8 +3227,6 @@ version = "11.1.0" description = "Python Imaging Library (Fork)" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"sentence-transformers\"" files = [ {file = "pillow-11.1.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = 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{file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -3555,7 +3346,6 @@ version = "4.1.0" description = "A framework for managing and maintaining multi-language pre-commit hooks." optional = false python-versions = ">=3.9" -groups = ["dev"] files = [ {file = "pre_commit-4.1.0-py2.py3-none-any.whl", hash = "sha256:d29e7cb346295bcc1cc75fc3e92e343495e3ea0196c9ec6ba53f49f10ab6ae7b"}, {file = "pre_commit-4.1.0.tar.gz", hash = "sha256:ae3f018575a588e30dfddfab9a05448bfbd6b73d78709617b5a2b853549716d4"}, @@ -3574,7 +3364,6 @@ version = "3.0.50" description = "Library for building powerful interactive command lines in Python" optional = false python-versions = ">=3.8.0" -groups = ["dev", "docs"] files = [ {file = "prompt_toolkit-3.0.50-py3-none-any.whl", hash = "sha256:9b6427eb19e479d98acff65196a307c555eb567989e6d88ebbb1b509d9779198"}, {file = "prompt_toolkit-3.0.50.tar.gz", hash = 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"sha256:6e93d5f5ca267b54300880fff156b6a3386b3fa3f43b1da62e680fc0c586ef22"}, @@ -3701,8 +3486,6 @@ version = "5.29.3" description = "" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "protobuf-5.29.3-cp310-abi3-win32.whl", hash = "sha256:3ea51771449e1035f26069c4c7fd51fba990d07bc55ba80701c78f886bf9c888"}, {file = "protobuf-5.29.3-cp310-abi3-win_amd64.whl", hash = "sha256:a4fa6f80816a9a0678429e84973f2f98cbc218cca434abe8db2ad0bffc98503a"}, @@ -3723,7 +3506,6 @@ version = "6.1.1" description = "Cross-platform lib for process and system monitoring in Python." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" -groups = ["dev", "docs"] files = [ {file = "psutil-6.1.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:9ccc4316f24409159897799b83004cb1e24f9819b0dcf9c0b68bdcb6cefee6a8"}, {file = "psutil-6.1.1-cp27-cp27m-manylinux2010_i686.whl", hash = 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description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"}, {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"}, @@ -3795,8 +3572,6 @@ version = "0.4.1" description = "A collection of ASN.1-based protocols modules" optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"vertexai\"" files = [ {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"}, {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"}, @@ -3811,12 +3586,10 @@ version = "2.22" description = "C parser in Python" optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"}, {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, ] -markers = {dev = "implementation_name == \"pypy\" or platform_python_implementation != \"PyPy\"", docs = "implementation_name == \"pypy\""} [[package]] name = "pydantic" @@ -3824,7 +3597,6 @@ version = "2.10.6" description = "Data validation using Python type hints" optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "pydantic-2.10.6-py3-none-any.whl", hash = "sha256:427d664bf0b8a2b34ff5dd0f5a18df00591adcee7198fbd71981054cef37b584"}, {file = "pydantic-2.10.6.tar.gz", hash = "sha256:ca5daa827cce33de7a42be142548b0096bf05a7e7b365aebfa5f8eeec7128236"}, @@ -3845,7 +3617,6 @@ version = "2.27.2" description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "pydantic_core-2.27.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2d367ca20b2f14095a8f4fa1210f5a7b78b8a20009ecced6b12818f455b1e9fa"}, {file = "pydantic_core-2.27.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:491a2b73db93fab69731eaee494f320faa4e093dbed776be1a829c2eb222c34c"}, @@ -3958,7 +3729,6 @@ version = "0.15.4" description = "Bootstrap-based Sphinx theme from the PyData community" optional = false python-versions = ">=3.9" -groups = ["docs"] files = [ {file = "pydata_sphinx_theme-0.15.4-py3-none-any.whl", hash = "sha256:2136ad0e9500d0949f96167e63f3e298620040aea8f9c74621959eda5d4cf8e6"}, {file = "pydata_sphinx_theme-0.15.4.tar.gz", hash = "sha256:7762ec0ac59df3acecf49fd2f889e1b4565dbce8b88b2e29ee06fdd90645a06d"}, @@ -3987,7 +3757,6 @@ version = "2.19.1" description = "Pygments is a syntax highlighting package written in Python." optional = false python-versions = ">=3.8" -groups = ["dev", "docs"] files = [ {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"}, {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"}, @@ -4002,7 +3771,6 @@ version = "3.3.4" description = "python code static checker" optional = false python-versions = ">=3.9.0" -groups = ["dev"] files = [ {file = "pylint-3.3.4-py3-none-any.whl", hash = "sha256:289e6a1eb27b453b08436478391a48cd53bb0efb824873f949e709350f3de018"}, {file = "pylint-3.3.4.tar.gz", hash = "sha256:74ae7a38b177e69a9b525d0794bd8183820bfa7eb68cc1bee6e8ed22a42be4ce"}, @@ -4033,8 +3801,6 @@ version = "3.5.4" description = "A python implementation of GNU readline." optional = false python-versions = ">=3.8" -groups = ["main"] -markers = "sys_platform == \"win32\"" files = [ {file = "pyreadline3-3.5.4-py3-none-any.whl", hash = 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"sha256:759b10b33a6dc61cce40a8bd5205e302978bbbcc00e279a8b61d9a6a3c82e4d3"}, @@ -4091,7 +3855,6 @@ version = "3.6.1" description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "pytest_xdist-3.6.1-py3-none-any.whl", hash = "sha256:9ed4adfb68a016610848639bb7e02c9352d5d9f03d04809919e2dafc3be4cca7"}, {file = "pytest_xdist-3.6.1.tar.gz", hash = "sha256:ead156a4db231eec769737f57668ef58a2084a34b2e55c4a8fa20d861107300d"}, @@ -4113,12 +3876,10 @@ version = "2.9.0.post0" description = "Extensions to the standard Python datetime module" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" -groups = ["main", "dev", "docs"] files = [ {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"}, {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = 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"python_ulid-3.0.0.tar.gz", hash = "sha256:e50296a47dc8209d28629a22fc81ca26c00982c78934bd7766377ba37ea49a9f"}, @@ -4159,7 +3918,6 @@ version = "308" description = "Python for Window Extensions" optional = false python-versions = "*" -groups = ["dev", "docs"] files = [ {file = "pywin32-308-cp310-cp310-win32.whl", hash = "sha256:796ff4426437896550d2981b9c2ac0ffd75238ad9ea2d3bfa67a1abd546d262e"}, {file = "pywin32-308-cp310-cp310-win_amd64.whl", hash = "sha256:4fc888c59b3c0bef905ce7eb7e2106a07712015ea1c8234b703a088d46110e8e"}, @@ -4180,7 +3938,6 @@ files = [ {file = "pywin32-308-cp39-cp39-win32.whl", hash = "sha256:7873ca4dc60ab3287919881a7d4f88baee4a6e639aa6962de25a98ba6b193341"}, {file = "pywin32-308-cp39-cp39-win_amd64.whl", hash = "sha256:71b3322d949b4cc20776436a9c9ba0eeedcbc9c650daa536df63f0ff111bb920"}, ] -markers = {dev = "sys_platform == \"win32\"", docs = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} [[package]] name = "pyyaml" @@ -4188,7 +3945,6 @@ version = "6.0.2" description = "YAML parser and emitter for Python" optional = false python-versions = ">=3.8" -groups = ["main", "dev", "docs"] files = [ {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"}, {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"}, @@ -4251,7 +4007,6 @@ version = "26.2.1" description = "Python bindings for 0MQ" optional = false python-versions = ">=3.7" -groups = ["dev", "docs"] files = [ {file = "pyzmq-26.2.1-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:f39d1227e8256d19899d953e6e19ed2ccb689102e6d85e024da5acf410f301eb"}, {file = "pyzmq-26.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a23948554c692df95daed595fdd3b76b420a4939d7a8a28d6d7dea9711878641"}, @@ -4373,7 +4128,6 @@ version = "5.2.1" description = "Python client for Redis database and key-value store" optional = false python-versions = ">=3.8" -groups = ["main"] files = [ {file = "redis-5.2.1-py3-none-any.whl", hash = "sha256:ee7e1056b9aea0f04c6c2ed59452947f34c4940ee025f5dd83e6a6418b6989e4"}, {file = "redis-5.2.1.tar.gz", hash = "sha256:16f2e22dff21d5125e8481515e386711a34cbec50f0e44413dd7d9c060a54e0f"}, @@ -4392,7 +4146,6 @@ version = "0.36.2" description = "JSON Referencing + Python" optional = false python-versions = ">=3.9" -groups = ["dev", "docs"] files = [ {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"}, {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"}, @@ -4409,8 +4162,6 @@ version = "2024.11.6" description = "Alternative regular expression module, to replace re." optional = true python-versions = ">=3.8" -groups = ["main"] -markers = "extra == \"sentence-transformers\"" files = [ {file = 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"sha256:febddfc3d1ea571bdb1dc0f98d7b45d24def7428214d4fb73cc486c9568cce6a"}, {file = "virtualenv-20.29.2.tar.gz", hash = "sha256:fdaabebf6d03b5ba83ae0a02cfe96f48a716f4fae556461d180825866f75b728"}, @@ -5999,8 +5679,6 @@ version = "0.2.4" description = "" optional = true python-versions = "<4.0.0,>=3.7.1" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "voyageai-0.2.4-py3-none-any.whl", hash = "sha256:e3070e5c78dec89adae43231334b4637aa88933dad99b1c33d3219fdfc94dfa4"}, {file = "voyageai-0.2.4.tar.gz", hash = "sha256:b9911d8629e8a4e363291c133482fead49a3536afdf1e735f3ab3aaccd8d250d"}, @@ -6019,7 +5697,6 @@ version = "0.2.13" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" -groups = ["dev", "docs"] files = [ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, @@ -6031,7 +5708,6 @@ version = "0.5.1" description = "Character encoding aliases for legacy web content" optional = false python-versions = "*" -groups = ["docs"] files = [ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, @@ -6043,7 +5719,6 @@ version = "1.17.2" description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"}, {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"}, @@ -6132,8 +5807,6 @@ version = "1.18.3" description = "Yet another URL library" optional = true python-versions = ">=3.9" -groups = ["main"] -markers = "extra == \"voyageai\"" files = [ {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"}, {file = "yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7"}, @@ -6230,12 +5903,10 @@ version = "3.21.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" -groups = ["dev", "docs"] files = [ {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, ] -markers = {dev = "python_version < \"3.10\""} [package.extras] check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] @@ -6255,6 +5926,6 @@ vertexai = ["google-cloud-aiplatform", "protobuf"] voyageai = ["voyageai"] [metadata] -lock-version = "2.1" +lock-version = "2.0" python-versions = ">=3.9,<3.14" -content-hash = "bca983a493824ac52308e35cd29108d855d868c953cf1375aa01a1a90938c826" +content-hash = "0b43ce7844c10cc76fa735c9ba0d502efedce746d724b55c0084c3c96273fa4f" diff --git a/pyproject.toml b/pyproject.toml index 64b4cda9..4b5a6c4f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -45,6 +45,7 @@ cohere = { version = ">=4.44", optional = true } mistralai = { version = ">=1.0.0", optional = true } voyageai = { version = ">=0.2.2", optional = true } boto3 = { version = "^1.36.0", optional = true, extras = ["bedrock"] } +Pillow = { version = ">=10.0.0", optional = true } [tool.poetry.extras] openai = ["openai"] diff --git a/redisvl/utils/vectorize/base.py b/redisvl/utils/vectorize/base.py index 189b6e1a..166c2075 100644 --- a/redisvl/utils/vectorize/base.py +++ b/redisvl/utils/vectorize/base.py @@ -2,7 +2,8 @@ from enum import Enum from typing import Callable, List, Optional, Union -from pydantic import BaseModel, Field, field_validator +from PIL import Image +from pydantic import BaseModel, Field, HttpUrl, field_validator from redisvl.redis.utils import array_to_buffer from redisvl.schema.fields import VectorDataType @@ -147,3 +148,134 @@ def _process_embedding(self, embedding: List[float], as_buffer: bool, dtype: str if as_buffer: return array_to_buffer(embedding, dtype) return embedding + + +class BaseMultimodalVectorizer(BaseModel, ABC): + """Base vectorizer interface.""" + + model: str + dtype: str = "float32" + dims: Optional[int] = None + + @property + def type(self) -> str: + return "base" + + @field_validator("dtype") + @classmethod + def check_dtype(cls, dtype): + try: + VectorDataType(dtype.upper()) + except ValueError: + raise ValueError( + f"Invalid data type: {dtype}. Supported types are: {[t.lower() for t in VectorDataType]}" + ) + return dtype + + @field_validator("dims") + @classmethod + def check_dims(cls, value): + """Ensures the dims are a positive integer.""" + if value <= 0: + raise ValueError("Dims must be a positive integer.") + return value + + @abstractmethod + def embed( + self, + content: List[Union[str, HttpUrl, Image]], + preprocess: Optional[Callable] = None, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[float], bytes]: + """Embed a chunk of text. + + Args: + content: The content to embed. It is s alist of texts or Images + preprocess: Optional function to preprocess text + as_buffer: If True, returns a bytes object instead of a list + + Returns: + Union[List[float], bytes]: Embedding as a list of floats, or as a bytes + object if as_buffer=True + """ + raise NotImplementedError + + @abstractmethod + def embed_many( + self, + contents: List[List[Union[str, HttpUrl, Image]]], + preprocess: Optional[Callable] = None, + batch_size: int = 10, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[List[float]], List[bytes]]: + """Embed multiple chunks of text. + + Args: + contents: List of contents to embed + preprocess: Optional function to preprocess text + batch_size: Number of texts to process in each batch + as_buffer: If True, returns each embedding as a bytes object + + Returns: + Union[List[List[float]], List[bytes]]: List of embeddings as lists of floats, + or as bytes objects if as_buffer=True + """ + raise NotImplementedError + + async def aembed_many( + self, + contents: List[List[Union[str, HttpUrl, Image]]], + preprocess: Optional[Callable] = None, + batch_size: int = 10, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[List[float]], List[bytes]]: + """Asynchronously embed multiple chunks of text. + + Args: + contents: List of contents to embed + preprocess: Optional function to preprocess text + batch_size: Number of texts to process in each batch + as_buffer: If True, returns each embedding as a bytes object + + Returns: + Union[List[List[float]], List[bytes]]: List of embeddings as lists of floats, + or as bytes objects if as_buffer=True + """ + # Fallback to standard embedding call if no async support + return self.embed_many(contents, preprocess, batch_size, as_buffer, **kwargs) + + async def aembed( + self, + content: List[Union[str, HttpUrl, Image]], + preprocess: Optional[Callable] = None, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[float], bytes]: + """Asynchronously embed a chunk of text. + + Args: + content: The content to embed. It is s alist of texts or Images + preprocess: Optional function to preprocess text + as_buffer: If True, returns a bytes object instead of a list + + Returns: + Union[List[float], bytes]: Embedding as a list of floats, or as a bytes + object if as_buffer=True + """ + # Fallback to standard embedding call if no async support + return self.embed(content, preprocess, as_buffer, **kwargs) + + def batchify(self, seq: list, size: int, preprocess: Optional[Callable] = None): + for pos in range(0, len(seq), size): + if preprocess is not None: + yield [preprocess(chunk) for chunk in seq[pos : pos + size]] + else: + yield seq[pos : pos + size] + + def _process_embedding(self, embedding: List[float], as_buffer: bool, dtype: str): + if as_buffer: + return array_to_buffer(embedding, dtype) + return embedding diff --git a/redisvl/utils/vectorize/multimodal/__init__.py b/redisvl/utils/vectorize/multimodal/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/redisvl/utils/vectorize/multimodal/voyageai.py b/redisvl/utils/vectorize/multimodal/voyageai.py new file mode 100644 index 00000000..2df4b3f3 --- /dev/null +++ b/redisvl/utils/vectorize/multimodal/voyageai.py @@ -0,0 +1,350 @@ +import os +from typing import Any, Callable, Dict, List, Optional, Union + +from PIL import Image +from pydantic import HttpUrl, PrivateAttr +from tenacity import retry, stop_after_attempt, wait_random_exponential +from tenacity.retry import retry_if_not_exception_type + +from redisvl.utils.utils import deprecated_argument +from redisvl.utils.vectorize.base import BaseMultimodalVectorizer + +# ignore that voyageai isn't imported +# mypy: disable-error-code="name-defined" + + +class VoyageAIMultimodalVectorizer(BaseMultimodalVectorizer): + """The VoyageAIMultimodalVectorizer class utilizes VoyageAI's API to generate + embeddings for text or image data. + + This vectorizer is designed to interact with VoyageAI's /multimodalembeddings API, + requiring an API key for authentication. The key can be provided + directly in the `api_config` dictionary or through the `VOYAGE_API_KEY` + environment variable. User must obtain an API key from VoyageAI's website + (https://dash.voyageai.com/). Additionally, the `voyageai` python + client must be installed with `pip install voyageai`. + + The vectorizer supports both synchronous and asynchronous operations, allows for batch + processing of texts and flexibility in handling preprocessing tasks. + + .. code-block:: python + + from redisvl.utils.vectorize import VoyageAITextVectorizer + + vectorizer = VoyageAIMultimodalVectorizer( + model="voyage-multimodal-3", + api_config={"api_key": "your-voyageai-api-key"} # OR set VOYAGE_API_KEY in your env + ) + query_embedding = vectorizer.embed( + text="your input query text here", + input_type="query" + ) + doc_embeddings = vectorizer.embed_many( + texts=["your document text", "more document text"], + input_type="document" + ) + + """ + + _client: Any = PrivateAttr() + _aclient: Any = PrivateAttr() + + def __init__( + self, + model: str, + api_config: Optional[Dict] = None, + dtype: str = "float32", + **kwargs, + ): + """Initialize the VoyageAI vectorizer. + + Visit https://docs.voyageai.com/docs/multimodal-embeddings to learn about embeddings and check the available models. + + Args: + model (str): Model to use for embedding. Defaults to "voyage-large-2". + api_config (Optional[Dict], optional): Dictionary containing the API key. + Defaults to None. + dtype (str): the default datatype to use when embedding text as byte arrays. + Used when setting `as_buffer=True` in calls to embed() and embed_many(). + Defaults to 'float32'. + + Raises: + ImportError: If the voyageai library is not installed. + ValueError: If the API key is not provided. + + """ + super().__init__(model=model, dtype=dtype) + # Init client + self._initialize_client(api_config, **kwargs) + # Set model dimensions after init + self.dims = self._set_model_dims() + + def _initialize_client(self, api_config: Optional[Dict], **kwargs): + """ + Setup the VoyageAI clients using the provided API key or an + environment variable. + """ + if api_config is None: + api_config = {} + + # Dynamic import of the voyageai module + try: + from voyageai import AsyncClient, Client + except ImportError: + raise ImportError( + "VoyageAI vectorizer requires the voyageai library. \ + Please install with `pip install voyageai`" + ) + + # Fetch the API key from api_config or environment variable + api_key = ( + api_config.get("api_key") if api_config else os.getenv("VOYAGE_API_KEY") + ) + if not api_key: + raise ValueError( + "VoyageAI API key is required. " + "Provide it in api_config or set the VOYAGE_API_KEY environment variable." + ) + self._client = Client(api_key=api_key, **kwargs) + self._aclient = AsyncClient(api_key=api_key, **kwargs) + + def _set_model_dims(self) -> int: + try: + embedding = self.embed(["dimension check"], input_type="document") + except (KeyError, IndexError) as ke: + raise ValueError(f"Unexpected response from the VoyageAI API: {str(ke)}") + except Exception as e: # pylint: disable=broad-except + # fall back (TODO get more specific) + raise ValueError(f"Error setting embedding model dimensions: {str(e)}") + return len(embedding) + + @deprecated_argument("dtype") + def embed( + self, + content: List[Union[str, HttpUrl, Image]], + preprocess: Optional[Callable] = None, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[float], bytes]: + """Embed a chunk of text using the VoyageAI Embeddings API. + + Can provide the embedding `input_type` as a `kwarg` to this method + that specifies the type of input you're giving to the model. For retrieval/search use cases, + we recommend specifying this argument when encoding queries or documents to enhance retrieval quality. + Embeddings generated with and without the input_type argument are compatible. + + Supported input types are ``document`` and ``query`` + + When hydrating your Redis DB, the documents you want to search over + should be embedded with input_type="document" and when you are + querying the database, you should set the input_type="query". + + Args: + content (List[Union[str, HttpUrl, Image]]): The content to embed. + preprocess (Optional[Callable], optional): Optional preprocessing callable to + perform before vectorization. Defaults to None. + as_buffer (bool, optional): Whether to convert the raw embedding + to a byte string. Defaults to False. + truncation (bool): Whether to truncate the input texts to fit within the context length. + Check https://docs.voyageai.com/docs/multimodal-embeddings + + Returns: + Union[List[float], bytes]: Embedding as a list of floats, or as a bytes + object if as_buffer=True + + Raises: + TypeError: If an invalid input_type is provided. + """ + return self.embed_many( + contents=[content], preprocess=preprocess, as_buffer=as_buffer, **kwargs + )[0] + + @retry( + wait=wait_random_exponential(min=1, max=60), + stop=stop_after_attempt(6), + retry=retry_if_not_exception_type(TypeError), + ) + @deprecated_argument("dtype") + def embed_many( + self, + contents: List[List[Union[str, HttpUrl, Image]]], + preprocess: Optional[Callable] = None, + batch_size: int = 10, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[List[float]], List[bytes]]: + """Embed many chunks of text using the VoyageAI Embeddings API. + + Can provide the embedding `input_type` as a `kwarg` to this method + that specifies the type of input you're giving to the model. For retrieval/search use cases, + we recommend specifying this argument when encoding queries or documents to enhance retrieval quality. + Embeddings generated with and without the input_type argument are compatible. + + Supported input types are ``document`` and ``query`` + + When hydrating your Redis DB, the documents you want to search over + should be embedded with input_type="document" and when you are + querying the database, you should set the input_type="query". + + Args: + contents (List[List[Union[str, HttpUrl, Image]]]): List of contents chunks to embed. + preprocess (Optional[Callable], optional): Optional preprocessing callable to + perform before vectorization. Defaults to None. + batch_size (int, optional): Batch size of texts to use when creating + embeddings. . + as_buffer (bool, optional): Whether to convert the raw embedding + to a byte string. Defaults to False. + input_type (str): Specifies the type of input passed to the model. + truncation (bool): Whether to truncate the input texts to fit within the context length. + Check https://docs.voyageai.com/docs/embeddings + + Returns: + Union[List[List[float]], List[bytes]]: List of embeddings as lists of floats, + or as bytes objects if as_buffer=True + + Raises: + TypeError: If an invalid input_type is provided. + + """ + input_type = kwargs.pop("input_type", None) + truncation = kwargs.pop("truncation", None) + dtype = kwargs.pop("dtype", self.dtype) + + if not isinstance(contents, list): + raise TypeError("Must pass in a list of str values to embed.") + if input_type is not None and input_type not in ["document", "query"]: + raise TypeError( + "Must pass in a allowed value for voyageai embedding input_type. \ + See https://docs.voyageai.com/docs/embeddings." + ) + + if truncation is not None and not isinstance(truncation, bool): + raise TypeError("Truncation (optional) parameter is a bool.") + + if batch_size is None: + batch_size = 10 + + embeddings: List = [] + for batch in self.batchify(contents, batch_size, preprocess): + response = self._client.multimodal_embed( + inputs=batch, model=self.model, input_type=input_type, **kwargs + ) + embeddings += [ + self._process_embedding(embedding, as_buffer, dtype) + for embedding in response.embeddings + ] + return embeddings + + @deprecated_argument("dtype") + async def aembed_many( + self, + contents: List[List[Union[str, HttpUrl, Image]]], + preprocess: Optional[Callable] = None, + batch_size: int = 10, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[List[float]], List[bytes]]: + """Embed many chunks of text using the VoyageAI Embeddings API. + + Can provide the embedding `input_type` as a `kwarg` to this method + that specifies the type of input you're giving to the model. For retrieval/search use cases, + we recommend specifying this argument when encoding queries or documents to enhance retrieval quality. + Embeddings generated with and without the input_type argument are compatible. + + Supported input types are ``document`` and ``query`` + + When hydrating your Redis DB, the documents you want to search over + should be embedded with input_type="document" and when you are + querying the database, you should set the input_type="query". + + Args: + contents (List[List[Union[str, HttpUrl, Image]]]): List of contents chunks to embed. + preprocess (Optional[Callable], optional): Optional preprocessing callable to + perform before vectorization. Defaults to None. + batch_size (int, optional): Batch size of texts to use when creating + embeddings. . + as_buffer (bool, optional): Whether to convert the raw embedding + to a byte string. Defaults to False. + input_type (str): Specifies the type of input passed to the model. + truncation (bool): Whether to truncate the input texts to fit within the context length. + Check https://docs.voyageai.com/docs/embeddings + + Returns: + Union[List[List[float]], List[bytes]]: List of embeddings as lists of floats, + or as bytes objects if as_buffer=True + + Raises: + TypeError: In an invalid input_type is provided. + + """ + input_type = kwargs.pop("input_type", None) + truncation = kwargs.pop("truncation", None) + dtype = kwargs.pop("dtype", self.dtype) + + if not isinstance(contents, list): + raise TypeError("Must pass in a list of str values to embed.") + if input_type is not None and input_type not in ["document", "query"]: + raise TypeError( + "Must pass in a allowed value for voyageai embedding input_type. \ + See https://docs.voyageai.com/docs/embeddings." + ) + + if truncation is not None and not isinstance(truncation, bool): + raise TypeError("Truncation (optional) parameter is a bool.") + + if batch_size is None: + batch_size = 10 + + embeddings: List = [] + for batch in self.batchify(contents, batch_size, preprocess): + response = await self._aclient.multimodal_embed( + inputs=batch, model=self.model, input_type=input_type, **kwargs + ) + embeddings += [ + self._process_embedding(embedding, as_buffer, dtype) + for embedding in response.embeddings + ] + return embeddings + + @deprecated_argument("dtype") + async def aembed( + self, + content: List[Union[str, HttpUrl, Image]], + preprocess: Optional[Callable] = None, + as_buffer: bool = False, + **kwargs, + ) -> Union[List[float], bytes]: + """Embed a chunk of text using the VoyageAI Embeddings API. + + Can provide the embedding `input_type` as a `kwarg` to this method + that specifies the type of input you're giving to the model. For retrieval/search use cases, + we recommend specifying this argument when encoding queries or documents to enhance retrieval quality. + Embeddings generated with and without the input_type argument are compatible. + + Supported input types are ``document`` and ``query`` + + When hydrating your Redis DB, the documents you want to search over + should be embedded with input_type="document" and when you are + querying the database, you should set the input_type="query". + + Args: + content (List[Union[str, HttpUrl, Image]]): The content to embed. + preprocess (Optional[Callable], optional): Optional preprocessing callable to + perform before vectorization. Defaults to None. + as_buffer (bool, optional): Whether to convert the raw embedding + to a byte string. Defaults to False. + input_type (str): Specifies the type of input passed to the model. + truncation (bool): Whether to truncate the input texts to fit within the context length. + Check https://docs.voyageai.com/docs/embeddings + + Returns: + Union[List[float], bytes]: Embedding as a list of floats, or as a bytes + object if as_buffer=True + + Raises: + TypeError: In an invalid input_type is provided. + """ + result = await self.aembed_many( + contents=[content], preprocess=preprocess, as_buffer=as_buffer, **kwargs + ) + return result[0]