diff --git a/README.md b/README.md index b733bbd5..ba271dd3 100644 --- a/README.md +++ b/README.md @@ -81,7 +81,7 @@ Arch's CLI allows you to manage and interact with the Arch gateway efficiently. ```console $ python -m venv venv $ source venv/bin/activate # On Windows, use: venv\Scripts\activate -$ pip install archgw==0.2.4 +$ pip install archgw==0.2.5 ``` ### Build AI Agent with Arch Gateway diff --git a/arch/tools/README.md b/arch/tools/README.md index eadf3da8..554981ae 100644 --- a/arch/tools/README.md +++ b/arch/tools/README.md @@ -19,7 +19,7 @@ source venv/bin/activate ### Step 3: Run the build script ```bash -pip install archgw==0.2.4 +pip install archgw==0.2.5 ``` ## Uninstall Instructions: archgw CLI diff --git a/arch/tools/poetry.lock b/arch/tools/poetry.lock index bb70350b..970f3a51 100644 --- a/arch/tools/poetry.lock +++ b/arch/tools/poetry.lock @@ -2,7 +2,7 @@ [[package]] name = "archgw_modelserver" -version = "0.2.4" +version = "0.2.5" description = "A model server for 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description = "Python-based CLI tool to manage Arch Gateway." authors = ["Katanemo Labs, Inc."] packages = [ @@ -10,7 +10,7 @@ readme = "README.md" [tool.poetry.dependencies] python = "^3.10" -archgw_modelserver = "^0.2.4" +archgw_modelserver = "^0.2.5" click = "^8.1.7" jinja2 = "^3.1.4" jsonschema = "^4.23.0" diff --git a/docs/source/conf.py b/docs/source/conf.py index 91a182c1..70c0daac 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -15,7 +15,7 @@ from sphinxawesome_theme.postprocess import Icons project = "Arch Docs" copyright = "2025, Katanemo Labs, Inc" author = "Katanemo Labs, Inc" -release = " v0.2.4" +release = " v0.2.5" # -- General configuration --------------------------------------------------- # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration diff --git a/docs/source/get_started/quickstart.rst b/docs/source/get_started/quickstart.rst index dbc18935..b4163f08 100644 --- a/docs/source/get_started/quickstart.rst +++ b/docs/source/get_started/quickstart.rst @@ -25,7 +25,7 @@ Arch's CLI allows you to manage and interact with the Arch gateway efficiently. $ python -m venv venv $ source venv/bin/activate # On Windows, use: venv\Scripts\activate - $ pip install archgw==0.2.4 + $ pip install archgw==0.2.5 Build AI Agent with Arch Gateway diff --git a/model_server/poetry.lock b/model_server/poetry.lock index 60a07b5d..3e148949 100644 --- a/model_server/poetry.lock +++ b/model_server/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "accelerate" -version = "1.4.0" +version = "1.6.0" description = "Accelerate" optional = false python-versions = ">=3.9.0" files = [ - {file = "accelerate-1.4.0-py3-none-any.whl", hash = "sha256:f6e1e7dfaf9d799a20a1dc45efbf4b1546163eac133faa5acd0d89177c896e55"}, - {file = "accelerate-1.4.0.tar.gz", hash = "sha256:37d413e1b64cb8681ccd2908ae211cf73e13e6e636a2f598a96eccaa538773a5"}, + {file = "accelerate-1.6.0-py3-none-any.whl", hash = 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["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] -integrations = ["optuna", "ray[tune] (>=2.7.0)", "sigopt"] +hf-xet = ["hf-xet"] +hub-kernels = ["kernels (>=0.3.2,<0.4)"] +integrations = ["kernels (>=0.3.2,<0.4)", "optuna", "ray[tune] (>=2.7.0)", "sigopt"] ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"] modelcreation = ["cookiecutter (==1.7.3)"] natten = ["natten (>=0.14.6,<0.15.0)"] +num2words = ["num2words"] onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.5.1)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "libcst", "rich", "ruff (==0.11.2)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] -ruff = ["ruff (==0.5.1)"] +ruff = ["ruff (==0.11.2)"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.11.2)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] @@ -2040,7 +2041,7 @@ tokenizers = ["tokenizers (>=0.21,<0.22)"] torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.26.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.30.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"] video = ["av"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -2068,35 +2069,49 @@ tutorials = ["matplotlib", "pandas", "tabulate"] [[package]] name = "typing-extensions" -version = "4.12.2" +version = "4.13.1" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false 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