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release 0.3.18 (#611)

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Adil Hafeez 2025-10-31 12:24:49 -07:00 • committed by GitHub
parent 0a7e932837
commit 126b029345
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15 changed files with 20 additions and 20 deletions
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2
.github/workflows/e2e_archgw.yml vendored
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@ -30,7 +30,7 @@ jobs:
- name: build arch docker image
run: |
cd ../../ && docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.17 -t katanemo/archgw:latest
cd ../../ && docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.18 -t katanemo/archgw:latest
- name: start archgw
env:

2
.github/workflows/e2e_test_currency_convert.yml vendored
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@ -24,7 +24,7 @@ jobs:
- name: build arch docker image
run: |
docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.17
docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.18
- name: install poetry
run: |

2
.github/workflows/e2e_test_preference_based_routing.yml vendored
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@ -24,7 +24,7 @@ jobs:
- name: build arch docker image
run: |
docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.17
docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.18
- name: install poetry
run: |

2
.github/workflows/validate_arch_config.yml vendored
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@ -24,7 +24,7 @@ jobs:
- name: build arch docker image
run: |
docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.17
docker build -f arch/Dockerfile . -t katanemo/archgw -t katanemo/archgw:0.3.18
- name: validate arch config
run: |

6
README.md
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@ -24,7 +24,7 @@ _Arch is a models-native (edge and service) proxy server for agents._<br><br>
</div>
# About The Latest Release:
[0.3.17] [Preference-aware multi LLM routing for Claude Code 2.0](demos/use_cases/claude_code_router/README.md) <br><img src="docs/source/_static/img/claude_code_router.png" alt="high-level network architecture for ArchGW" width="50%">
[0.3.18] [Preference-aware multi LLM routing for Claude Code 2.0](demos/use_cases/claude_code_router/README.md) <br><img src="docs/source/_static/img/claude_code_router.png" alt="high-level network architecture for ArchGW" width="50%">
# Overview
@ -87,7 +87,7 @@ Arch's CLI allows you to manage and interact with the Arch gateway efficiently.
```console
$ python3.12 -m venv venv
$ source venv/bin/activate # On Windows, use: venv\Scripts\activate
$ pip install archgw==0.3.17
$ pip install archgw==0.3.18
```
### Use Arch as a LLM Router
@ -276,7 +276,7 @@ endpoints:
```sh
$ archgw up arch_config.yaml
2024-12-05 16:56:27,979 - cli.main - INFO - Starting archgw cli version: 0.3.17
2024-12-05 16:56:27,979 - cli.main - INFO - Starting archgw cli version: 0.3.18
2024-12-05 16:56:28,485 - cli.utils - INFO - Schema validation successful!
2024-12-05 16:56:28,485 - cli.main - INFO - Starting arch model server and arch gateway
2024-12-05 16:56:51,647 - cli.core - INFO - Container is healthy!

2
arch/tools/README.md
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@ -19,7 +19,7 @@ source venv/bin/activate
### Step 3: Run the build script
```bash
pip install archgw==0.3.17
pip install archgw==0.3.18
```
## Uninstall Instructions: archgw CLI

2
arch/tools/cli/consts.py
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@ -10,4 +10,4 @@ SERVICE_NAME_MODEL_SERVER = "model_server"
SERVICE_ALL = "all"
MODEL_SERVER_LOG_FILE = "~/archgw_logs/modelserver.log"
ARCHGW_DOCKER_NAME = "archgw"
ARCHGW_DOCKER_IMAGE = os.getenv("ARCHGW_DOCKER_IMAGE", "katanemo/archgw:0.3.17")
ARCHGW_DOCKER_IMAGE = os.getenv("ARCHGW_DOCKER_IMAGE", "katanemo/archgw:0.3.18")

4
arch/tools/poetry.lock generated
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@ -68,7 +68,7 @@ trio = ["trio (>=0.31.0)"]
[[package]]
name = "archgw-modelserver"
version = "0.3.17"
version = "0.3.18"
description = "A model server for serving models"
optional = false
python-versions = ">=3.10"
@ -3235,4 +3235,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10"
content-hash = "e05a2536064dfdc436d9609492a313b93c6a55d9670ea47b003ce17d04bf4f42"
content-hash = "c831ac5cd8333c5519b29a9c1b8d95de79d19a2f651bac1c998c0e5b64ff3240"

4
arch/tools/pyproject.toml
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@ -1,12 +1,12 @@
[project]
name = "archgw"
version = "0.3.17"
version = "0.3.18"
description = "Python-based CLI tool to manage Arch Gateway."
authors = [{ name = "Katanemo Labs, Inc." }]
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"archgw_modelserver==0.3.17",
"archgw_modelserver==0.3.18",
"click>=8.1.7,<9.0.0",
"jinja2>=3.1.4,<4.0.0",
"jsonschema>=4.23.0,<5.0.0",

2
demos/use_cases/model_choice_with_test_harness/pyproject.toml
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@ -12,7 +12,7 @@ python = ">=3.10,<3.13.3"
pydantic = "^2.0"
openai = "^1.0"
pyyaml = "^6.0"
archgw ="^0.3.17"
archgw ="^0.3.18"
[tool.poetry.group.dev.dependencies]
pytest = "^8.3"

4
demos/use_cases/preference_based_routing/README.md
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@ -14,9 +14,9 @@ Make sure your machine is up to date with [latest version of archgw]([url](https
2. start archgw in the foreground
```bash
(venv) $ archgw up --service archgw --foreground
2025-05-30 18:00:09,953 - cli.main - INFO - Starting archgw cli version: 0.3.17
2025-05-30 18:00:09,953 - cli.main - INFO - Starting archgw cli version: 0.3.18
2025-05-30 18:00:09,953 - cli.main - INFO - Validating /Users/adilhafeez/src/intelligent-prompt-gateway/demos/use_cases/preference_based_routing/arch_config.yaml
2025-05-30 18:00:10,422 - cli.core - INFO - Starting arch gateway, image name: archgw, tag: katanemo/archgw:0.3.17
2025-05-30 18:00:10,422 - cli.core - INFO - Starting arch gateway, image name: archgw, tag: katanemo/archgw:0.3.18
2025-05-30 18:00:10,662 - cli.core - INFO - archgw status: running, health status: starting
2025-05-30 18:00:11,712 - cli.core - INFO - archgw status: running, health status: starting
2025-05-30 18:00:12,761 - cli.core - INFO - archgw is running and is healthy!

2
docs/source/conf.py
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@ -15,7 +15,7 @@ from sphinxawesome_theme.postprocess import Icons
project = "Arch Docs"
copyright = "2025, Katanemo Labs, Inc"
author = "Katanemo Labs, Inc"
release = " v0.3.17"
release = " v0.3.18"
# -- General configuration ---------------------------------------------------
# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration

2
docs/source/get_started/quickstart.rst
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@ -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==0.3.17
$ pip install archgw==0.3.18
Build AI Agent with Arch Gateway

2
docs/source/resources/deployment.rst
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@ -25,7 +25,7 @@ Create a ``docker-compose.yml`` file with the following configuration:
# docker-compose.yml
services:
archgw:
image: katanemo/archgw:0.3.17
image: katanemo/archgw:0.3.18
container_name: archgw
ports:
- "10000:10000" # ingress (client -> arch)

2
model_server/pyproject.toml
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@ -1,6 +1,6 @@
[project]
name = "archgw_modelserver"
version = "0.3.17"
version = "0.3.18"
description = "A model server for serving models"
authors = [{name = "Katanemo Labs, Inc", email = "info@katanemo.com"}]
license = "Apache 2.0"