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 serving models"
optional = false
python-versions = "*"
@@ -259,114 +259,125 @@ typing-extensions = {version = ">=4.4.0", markers = "python_version < \"3.13\""}
[[package]]
name = "rpds-py"
-version = "0.23.1"
+version = "0.24.0"
description = "Python bindings to Rust's persistent data structures (rpds)"
optional = false
python-versions = ">=3.9"
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+ {file = "rpds_py-0.24.0.tar.gz", hash = "sha256:772cc1b2cd963e7e17e6cc55fe0371fb9c704d63e44cacec7b9b7f523b78919e"},
]
[[package]]
@@ -391,16 +402,16 @@ type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12
[[package]]
name = "typing-extensions"
-version = "4.12.2"
+version = "4.13.1"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
files = [
- {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
- {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+ {file = "typing_extensions-4.13.1-py3-none-any.whl", hash = "sha256:4b6cf02909eb5495cfbc3f6e8fd49217e6cc7944e145cdda8caa3734777f9e69"},
+ {file = "typing_extensions-4.13.1.tar.gz", hash = "sha256:98795af00fb9640edec5b8e31fc647597b4691f099ad75f469a2616be1a76dff"},
]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
-content-hash = "310b3efa304f598b1711fdf0716698d28a4dc1365e18a5ecaedd17c31b3ea14d"
+content-hash = "a204adc8886a3e01792f4d6395bf291b62f7f78f080e2e5980da36637643177c"
diff --git a/arch/tools/pyproject.toml b/arch/tools/pyproject.toml
index 75438e11..edbfceb0 100644
--- a/arch/tools/pyproject.toml
+++ b/arch/tools/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "archgw"
-version = "0.2.4"
+version = "0.2.5"
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/build_with_arch/rag.rst b/docs/source/build_with_arch/rag.rst
index 3f4db41f..eafd6e2b 100644
--- a/docs/source/build_with_arch/rag.rst
+++ b/docs/source/build_with_arch/rag.rst
@@ -46,7 +46,7 @@ Multi-Turn RAG (Follow-up Questions)
Developers often `struggle `_ to efficiently handle
``follow-up`` or ``clarification`` questions. Specifically, when users ask for changes or additions to previous responses, it requires developers to
re-write prompts using LLMs with precise prompt engineering techniques. This process is slow, manual, error prone and adds signifcant latency to the
-user experience. Arch
+user experience.
Arch is highly capable of accurately detecting and processing prompts in a multi-turn scenarios so that you can buil fast and accurate RAG apps in
minutes. For additional details on how to build multi-turn RAG applications please refer to our :ref:`multi-turn ` docs.
diff --git a/docs/source/concepts/llm_provider.rst b/docs/source/concepts/llm_provider.rst
index ba9566ba..551d6074 100644
--- a/docs/source/concepts/llm_provider.rst
+++ b/docs/source/concepts/llm_provider.rst
@@ -4,7 +4,7 @@ LLM Provider
============
**LLM provider** is a top-level primitive in Arch, helping developers centrally define, secure, observe,
-and manage the usage of of their LLMs. Arch builds on Envoy's reliable `cluster subsystem `_
+and manage the usage of their LLMs. Arch builds on Envoy's reliable `cluster subsystem `_
to manage egress traffic to LLMs, which includes intelligent routing, retry and fail-over mechanisms,
ensuring high availability and fault tolerance. This abstraction also enables developers to seamlessly
switching between LLM providers or upgrade LLM versions, simplifying the integration and scaling of LLMs
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 cb7c3407..3e148949 100644
--- a/model_server/poetry.lock
+++ b/model_server/poetry.lock
@@ -2,13 +2,13 @@
[[package]]
name = "accelerate"
-version = "1.5.2"
+version = "1.6.0"
description = "Accelerate"
optional = false
python-versions = ">=3.9.0"
files = [
- {file = "accelerate-1.5.2-py3-none-any.whl", hash = "sha256:68a3b272f6a6ffebb457bdc138581a2bf52efad6a5e0214dc46675f3edd98792"},
- {file = "accelerate-1.5.2.tar.gz", hash = "sha256:a1cf39473edc0e42772a9d9a18c9eb1ce8ffd9e1719dc0ab80670f5c1fd4dc43"},
+ {file = "accelerate-1.6.0-py3-none-any.whl", hash = "sha256:1aee717d3d3735ad6d09710a7c26990ee4652b79b4e93df46551551b5227c2aa"},
+ {file = "accelerate-1.6.0.tar.gz", hash = "sha256:28c1ef1846e690944f98b68dc7b8bb6c51d032d45e85dcbb3adb0c8b99dffb32"},
]
[package.dependencies]
@@ -22,13 +22,13 @@ torch = ">=2.0.0"
[package.extras]
deepspeed = ["deepspeed"]
-dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.6.4,<0.7.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
-quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.6.4,<0.7.0)"]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "diffusers", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.11.2,<0.12.0)", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.11.2,<0.12.0)"]
rich = ["rich"]
sagemaker = ["sagemaker"]
test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist"]
-test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
+test-trackers = ["comet-ml", "dvclive", "matplotlib", "mlflow", "tensorboard", "wandb"]
testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-order", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
[[package]]
@@ -320,13 +320,13 @@ typing = ["typing-extensions (>=4.12.2)"]
[[package]]
name = "fsspec"
-version = "2025.3.0"
+version = "2025.3.2"
description = "File-system specification"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
files = [
- {file = "fsspec-2025.3.0-py3-none-any.whl", hash = "sha256:efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3"},
- {file = "fsspec-2025.3.0.tar.gz", hash = "sha256:a935fd1ea872591f2b5148907d103488fc523295e6c64b835cfad8c3eca44972"},
+ {file = "fsspec-2025.3.2-py3-none-any.whl", hash = "sha256:2daf8dc3d1dfa65b6aa37748d112773a7a08416f6c70d96b264c96476ecaf711"},
+ {file = "fsspec-2025.3.2.tar.gz", hash = "sha256:e52c77ef398680bbd6a98c0e628fbc469491282981209907bbc8aea76a04fdc6"},
]
[package.extras]
@@ -496,13 +496,13 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "huggingface-hub"
-version = "0.29.3"
+version = "0.30.1"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.8.0"
files = [
- {file = "huggingface_hub-0.29.3-py3-none-any.whl", hash = "sha256:0b25710932ac649c08cdbefa6c6ccb8e88eef82927cacdb048efb726429453aa"},
- {file = "huggingface_hub-0.29.3.tar.gz", hash = "sha256:64519a25716e0ba382ba2d3fb3ca082e7c7eb4a2fc634d200e8380006e0760e5"},
+ {file = "huggingface_hub-0.30.1-py3-none-any.whl", hash = "sha256:0f6aa5ec5a4e68e5b9e45d556b4e5ea180c58f5a5ffa734e7f38c9d573028959"},
+ {file = "huggingface_hub-0.30.1.tar.gz", hash = "sha256:f379e8b8d0791295602538856638460ae3cf679c7f304201eb80fb98c771950e"},
]
[package.dependencies]
@@ -520,6 +520,7 @@ cli = ["InquirerPy (==0.3.4)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
hf-transfer = ["hf-transfer (>=0.1.4)"]
+hf-xet = ["hf-xet (>=0.1.4)"]
inference = ["aiohttp"]
quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
@@ -994,13 +995,13 @@ files = [
[[package]]
name = "openai"
-version = "1.68.2"
+version = "1.70.0"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.8"
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+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "kernels (>=0.3.2,<0.4)", "libcst", "librosa", "nltk (<=3.8.1)", "num2words", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "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", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
ftfy = ["ftfy"]
+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)"]
@@ -2019,17 +2021,17 @@ 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-order", "pytest-rerunfailures", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "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)"]
@@ -2039,7 +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)"]
@@ -2067,15 +2069,29 @@ 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
python-versions = ">=3.8"
files = [
- {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
- {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
+ {file = "typing_extensions-4.13.1-py3-none-any.whl", hash = "sha256:4b6cf02909eb5495cfbc3f6e8fd49217e6cc7944e145cdda8caa3734777f9e69"},
+ {file = "typing_extensions-4.13.1.tar.gz", hash = "sha256:98795af00fb9640edec5b8e31fc647597b4691f099ad75f469a2616be1a76dff"},
]
+[[package]]
+name = "typing-inspection"
+version = "0.4.0"
+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+files = [
+ {file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"},
+ {file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.12.0"
+
[[package]]
name = "tzdata"
version = "2025.2"
diff --git a/model_server/pyproject.toml b/model_server/pyproject.toml
index d7c38adb..920c33fb 100644
--- a/model_server/pyproject.toml
+++ b/model_server/pyproject.toml
@@ -1,6 +1,6 @@
[tool.poetry]
name = "archgw_modelserver"
-version = "0.2.4"
+version = "0.2.5"
description = "A model server for serving models"
authors = ["Katanemo Labs, Inc "]
license = "Apache 2.0"