diff --git a/arch/tools/poetry.lock b/arch/tools/poetry.lock
index 3e7c46b9..81ab0a39 100644
--- a/arch/tools/poetry.lock
+++ b/arch/tools/poetry.lock
@@ -1,19 +1,8 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
-
-[[package]]
-name = "annotated-types"
-version = "0.7.0"
-description = "Reusable constraint types to use with typing.Annotated"
-optional = false
-python-versions = ">=3.8"
-files = [
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-]
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "archgw_modelserver"
-version = "0.1.7"
+version = "0.1.8"
 description = "A model server for serving models"
 optional = false
 python-versions = "*"
@@ -56,127 +45,114 @@ files = [
 
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 name = "click"
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 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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@@ -215,95 +191,6 @@ docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"]
 ssh = ["paramiko (>=2.4.3)"]
 websockets = ["websocket-client (>=1.3.0)"]
 
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-
-[[package]]
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-arrow = ["pyarrow (>=1)"]
-dask = ["dask", "distributed"]
-dev = ["pre-commit", "ruff"]
-doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
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-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
-
 [[package]]
 name = "idna"
 version = "3.10"
@@ -320,13 +207,13 @@ all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
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 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e"},
-]
-
 [[package]]
 name = "referencing"
 version = "0.35.1"
@@ -854,47 +536,15 @@ enabler = ["pytest-enabler (>=2.2)"]
 test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
 type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12,<1.14)", "pytest-mypy"]
 
-[[package]]
-name = "tqdm"
-version = "4.67.1"
-description = "Fast, Extensible Progress Meter"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
-    {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
-[package.extras]
-dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
-discord = ["requests"]
-notebook = ["ipywidgets (>=6)"]
-slack = ["slack-sdk"]
-telegram = ["requests"]
-
-[[package]]
-name = "typing-extensions"
-version = "4.12.2"
-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"},
-]
-
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.extras]
@@ -905,5 +555,5 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.12"
-content-hash = "6016abef181ad0b4053e51b3b7de2ce5f1b852e8f4dd950eda8cde7294e70026"
+python-versions = "^3.10"
+content-hash = "ab027b62af1cbf96ef77b4db808824d66b09b065f1b18d215bdc6110eb766d10"
diff --git a/arch/tools/pyproject.toml b/arch/tools/pyproject.toml
index 24410562..008c967c 100644
--- a/arch/tools/pyproject.toml
+++ b/arch/tools/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "archgw"
-version = "0.1.7"
+version = "0.1.8"
 description = "Python-based CLI tool to manage Arch Gateway."
 authors = ["Katanemo Labs, Inc."]
 packages = [
@@ -9,15 +9,12 @@ packages = [
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = "^3.12"
-archgw_modelserver = "0.1.7"
-pyyaml = "^6.0.2"
-pydantic = "^2.10.1"
+python = "^3.10"
+archgw_modelserver = "^0.1.8"
 click = "^8.1.7"
 jinja2 = "^3.1.4"
 jsonschema = "^4.23.0"
 setuptools = "75.5.0"
-huggingface_hub = "^0.26.0"
 docker = "^7.1.0"
 python-dotenv = "^1.0.1"
 
diff --git a/archgw.code-workspace b/archgw.code-workspace
index 3c968e72..50c8a492 100644
--- a/archgw.code-workspace
+++ b/archgw.code-workspace
@@ -1,9 +1,9 @@
 {
 	"folders": [
-		{
+    {
       "name": "root",
-			"path": "."
-		},
+      "path": "."
+    },
     {
       "name": "crates",
       "path": "crates"
diff --git a/model_server/poetry.lock b/model_server/poetry.lock
index 805ba667..c08f77ca 100644
--- a/model_server/poetry.lock
+++ b/model_server/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
@@ -44,23 +44,24 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.7.0"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
-    {file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -74,6 +75,9 @@ files = [
     {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
+
 [package.extras]
 tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
 
@@ -90,127 +94,114 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
 files = [
-    {file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"},
-    {file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"},
-    {file = "charset_normalizer-3.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5ed2e36c3e9b4f21dd9422f6893dec0abf2cca553af509b10cd630f878d3eb99"},
-    {file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:40d3ff7fc90b98c637bda91c89d51264a3dcf210cade3a2c6f838c7268d7a4ca"},
-    {file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d"},
-    {file = "charset_normalizer-3.4.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:86f4e8cca779080f66ff4f191a685ced73d2f72d50216f7112185dc02b90b9b7"},
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 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -277,6 +268,20 @@ files = [
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 ]
 
+[[package]]
+name = "exceptiongroup"
+version = "1.2.2"
+description = "Backport of PEP 654 (exception groups)"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.extras]
+test = ["pytest (>=6)"]
+
 [[package]]
 name = "fastapi"
 version = "0.115.0"
@@ -315,13 +320,13 @@ typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2024.12.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
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 [[package]]
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 [package.dependencies]
@@ -1527,22 +1452,24 @@ files = [
 
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@@ -1928,23 +1760,23 @@ torch = ["safetensors[numpy]", "torch (>=1.10)"]
 
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 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
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+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2"},
+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744"},
+    {file = "tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec"},
+    {file = "tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69"},
+    {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
+    {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
+]
+
 [[package]]
 name = "torch"
 version = "2.4.1"
@@ -2241,13 +2114,13 @@ devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.extras]
@@ -2270,6 +2143,7 @@ files = [
 [package.dependencies]
 click = ">=7.0"
 h11 = ">=0.8"
+typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
@@ -2386,5 +2260,5 @@ type = ["pytest-mypy"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.12"
-content-hash = "2268c8352cd9ac4018a5cb0d8396a91d358dddc9fc5807cb27bd41608b08b81e"
+python-versions = "^3.10"
+content-hash = "b8e46140dfec3638e577f0e40f6f46dfc35d46390fb63e7ac687323009f2dbce"
diff --git a/model_server/pyproject.toml b/model_server/pyproject.toml
index 351fb482..63c5a045 100644
--- a/model_server/pyproject.toml
+++ b/model_server/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "archgw_modelserver"
-version = "0.1.7"
+version = "0.1.8"
 description = "A model server for serving models"
 authors = ["Katanemo Labs, Inc <info@katanemo.com>"]
 license = "Apache 2.0"
@@ -10,17 +10,15 @@ packages = [
 ]
 
 [tool.poetry.dependencies]
-python = "^3.12"
+python = "^3.10"
 fastapi = "0.115.0"
 torch = "2.4.1"
 uvicorn = "0.31.0"
-transformers = "*"
-pyyaml = "6.0.2"
-accelerate = "*"
-psutil = "6.0.0"
-pandas = "*"
+transformers = "^4.37.0"
+accelerate = "^1.0.0"
+pydantic = "^2.10.1"
 dateparser = "*"
-openai = "1.50.2"
+openai = "^1.50.2"
 httpx = "0.27.2" # https://community.openai.com/t/typeerror-asyncclient-init-got-an-unexpected-keyword-argument-proxies/1040287
 pytest-asyncio = "*"
 pytest = "*"
@@ -33,7 +31,7 @@ pytest-retry = "^1.6.3"
 pytest-httpserver = "^1.1.0"
 
 [tool.poetry.scripts]
-archgw_modelserver = "src.cli:run_server"
+archgw_modelserver = "src.cli:main"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
diff --git a/model_server/src/cli.py b/model_server/src/cli.py
index 89fd82c0..5245873e 100644
--- a/model_server/src/cli.py
+++ b/model_server/src/cli.py
@@ -1,22 +1,17 @@
 import importlib
-import logging
-from os import path
 import os
-from signal import SIGKILL
 import sys
 import subprocess
 import argparse
+import signal
 import tempfile
 import time
-
 import requests
 
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-)
+import src.commons.utils as utils
 
-logger = logging.getLogger(__name__)
+
+logger = utils.get_model_server_logger()
 
 
 def get_version():
@@ -42,76 +37,9 @@ def wait_for_health_check(url, timeout=300):
     return False
 
 
-def parse_args():
-    parser = argparse.ArgumentParser(description="Manage the Uvicorn server.")
-    parser.add_argument(
-        "action",
-        choices=["start", "stop", "restart"],
-        default="start",
-        nargs="?",
-        help="Action to perform on the server (default: start).",
-    )
-    parser.add_argument(
-        "--port",
-        type=int,
-        default=51000,
-        help="Port number for the server (default: 51000).",
-    )
-
-    parser.add_argument(
-        "--foreground",
-        default=False,
-        action="store_true",
-        help="Run the server in the foreground (default: False).",
-    )
-
-    return parser.parse_args()
-
-
 def get_pid_file():
     temp_dir = tempfile.gettempdir()
-    return path.join(temp_dir, "model_server.pid")
-
-
-def stop_server():
-    """Stop the Uvicorn server."""
-    pid_file = get_pid_file()
-    if os.path.exists(pid_file):
-        logger.info(f"PID file found, shutting down the server.")
-        # read pid from file
-        with open(pid_file, "r") as f:
-            pid = int(f.read())
-            logger.info(f"Killing model server {pid}")
-            try:
-                os.kill(pid, SIGKILL)
-            except ProcessLookupError:
-                logger.info(f"Process {pid} not found")
-        os.remove(pid_file)
-    else:
-        logger.info("No PID file found, server is not running.")
-
-
-def restart_server(port=51000, foreground=False):
-    """Restart the Uvicorn server."""
-    stop_server()
-    start_server(port, foreground)
-
-
-def run_server():
-    """Start, stop, or restart the Uvicorn server based on command-line arguments."""
-
-    args = parse_args()
-    action = args.action
-
-    if action == "start":
-        start_server(args.port, args.foreground)
-    elif action == "stop":
-        stop_server()
-    elif action == "restart":
-        restart_server(args.port, args.foreground)
-    else:
-        logger.info(f"Unknown action: {action}")
-        sys.exit(1)
+    return os.path.join(temp_dir, "model_server.pid")
 
 
 def ensure_killed(process):
@@ -131,7 +59,7 @@ def ensure_killed(process):
 def start_server(port=51000, foreground=False):
     """Start the Uvicorn server."""
 
-    logging.info("model server version: %s", get_version())
+    logger.info("model server version: %s", get_version())
 
     stop_server()
 
@@ -196,6 +124,57 @@ def start_server(port=51000, foreground=False):
             ensure_killed(process)
 
 
+def stop_server():
+    """Stop the Uvicorn server."""
+
+    pid_file = get_pid_file()
+    if os.path.exists(pid_file):
+        logger.info("PID file found, shutting down the server.")
+        # read pid from file
+        with open(pid_file, "r") as f:
+            pid = int(f.read())
+            logger.info(f"Killing model server {pid}")
+            try:
+                os.kill(pid, signal.SIGKILL)
+            except ProcessLookupError:
+                logger.info(f"Process {pid} not found")
+        os.remove(pid_file)
+    else:
+        logger.info("No PID file found, server is not running.")
+
+
+def restart_server(port=51000, foreground=False):
+    """Restart the Uvicorn server."""
+    stop_server()
+    start_server(port, foreground)
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(description="Manage the Uvicorn server.")
+    parser.add_argument(
+        "action",
+        choices=["start", "stop", "restart"],
+        default="start",
+        nargs="?",
+        help="Action to perform on the server (default: start).",
+    )
+    parser.add_argument(
+        "--port",
+        type=int,
+        default=51000,
+        help="Port number for the server (default: 51000).",
+    )
+
+    parser.add_argument(
+        "--foreground",
+        default=False,
+        action="store_true",
+        help="Run the server in the foreground (default: False).",
+    )
+
+    return parser.parse_args()
+
+
 def main():
     """
     Start, stop, or restart the Uvicorn server based on command-line arguments.
@@ -204,11 +183,14 @@ def main():
     args = parse_args()
 
     if args.action == "start":
+        logger.info("[CLI] - Starting server")
         start_server(args.port, args.foreground)
     elif args.action == "stop":
+        logger.info("[CLI] - Stopping server")
         stop_server()
     elif args.action == "restart":
+        logger.info("[CLI] - Restarting server")
         restart_server(args.port)
     else:
-        logger.error(f"Unknown action: {args.action}")
+        logger.error(f"[CLI] - Unknown action: {args.action}")
         sys.exit(1)
diff --git a/model_server/src/commons/globals.py b/model_server/src/commons/globals.py
index 46ac1fef..68c2e53a 100644
--- a/model_server/src/commons/globals.py
+++ b/model_server/src/commons/globals.py
@@ -22,9 +22,7 @@ ARCH_CLIENT = OpenAI(base_url=ARCH_ENDPOINT, api_key=ARCH_API_KEY)
 # Define model names
 ARCH_INTENT_MODEL_ALIAS = "Arch-Intent"
 ARCH_FUNCTION_MODEL_ALIAS = "Arch-Function"
-
-logger.info("loading prompt guard model ...")
-arch_guard_model = get_guardrail_handler()
+ARCH_GUARD_MODEL_ALIAS = "katanemo/Arch-Guard"
 
 # Define model handlers
 handler_map = {
@@ -34,5 +32,5 @@ handler_map = {
     "Arch-Function": ArchFunctionHandler(
         ARCH_CLIENT, ARCH_FUNCTION_MODEL_ALIAS, ArchFunctionConfig
     ),
-    "Arch-Guard": arch_guard_model,
+    "Arch-Guard": get_guardrail_handler(ARCH_GUARD_MODEL_ALIAS),
 }
diff --git a/model_server/src/commons/utils.py b/model_server/src/commons/utils.py
index fff7911d..76e46d13 100644
--- a/model_server/src/commons/utils.py
+++ b/model_server/src/commons/utils.py
@@ -1,87 +1,50 @@
-import os
-import sys
-import time
+import torch
 import logging
-import requests
-import subprocess
-import importlib
+
+from datetime import datetime
 
 
-PROJ_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-
-# Default log directory and file
-DEFAULT_LOG_DIR = os.path.join(PROJ_DIR, ".logs")
-DEFAULT_LOG_FILE = "modelserver.log"
-
-
-def get_model_server_logger(log_dir=None, log_file=None):
+def get_model_server_logger():
     """
     Get or initialize the logger instance for the model server.
 
-    Parameters:
-    - log_dir (str): Custom directory to store the log file. Defaults to `./.logs`.
-    - log_file (str): Custom log file name. Defaults to `modelserver.log`.
-
     Returns:
     - logging.Logger: Configured logger instance.
     """
-    log_dir = log_dir or DEFAULT_LOG_DIR
-    log_file = log_file or DEFAULT_LOG_FILE
-    log_file_path = os.path.join(log_dir, log_file)
 
     # Check if the logger is already configured
-    logger = logging.getLogger("model_server_logger")
+    logger = logging.getLogger("model_server")
+
+    # Return existing logger instance if already configured
     if logger.hasHandlers():
-        # Return existing logger instance if already configured
         return logger
 
-    # Ensure the log directory exists, create it if necessary
-    try:
-        # Create directory if it doesn't exist
-        os.makedirs(log_dir, exist_ok=True)
-
-        # Check for write permissions
-        if not os.access(log_dir, os.W_OK):
-            raise PermissionError(f"No write permission for the directory: {log_dir}")
-    except (PermissionError, OSError) as e:
-        raise RuntimeError(f"Failed to initialize logger: {e}")
-
-    # Configure logging to file
+    # Configure logging to only log to console
     logging.basicConfig(
         level=logging.INFO,
-        format="%(asctime)s - %(levelname)s - %(message)s",
-        handlers=[
-            # logging.FileHandler(log_file_path, mode="w"),  # Overwrite logs in the file
-            logging.StreamHandler(),  # Also log to console
-        ],
+        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+        handlers=[logging.StreamHandler()],
     )
 
     return logger
 
 
-logger = get_model_server_logger()
-
-logging.info("initializing torch device ...")
-import torch
-
-
 def get_device():
-    available_device = {
-        "cpu": True,
-        "cuda": torch.cuda.is_available(),
-        "mps": (
-            torch.backends.mps.is_available()
-            if hasattr(torch.backends, "mps")
-            else False
-        ),
-    }
-
-    if available_device["cuda"]:
+    if torch.cuda.is_available():
         device = "cuda"
-    elif available_device["mps"]:
+    elif torch.backends.mps.is_available():
         device = "mps"
     else:
         device = "cpu"
 
     return device
+
+
+def get_today_date():
+    # Get today's date
+    today = datetime.now()
+
+    # Get full date with day of week
+    full_date = today.strftime("%Y-%m-%d")
+
+    return full_date
diff --git a/model_server/src/core/function_calling.py b/model_server/src/core/function_calling.py
index e29dd3f1..25c83818 100644
--- a/model_server/src/core/function_calling.py
+++ b/model_server/src/core/function_calling.py
@@ -1,22 +1,24 @@
+import ast
 import json
 import random
 import builtins
 import textwrap
+import src.commons.utils as utils
 
 from openai import OpenAI
 from typing import Any, Dict, List
 from overrides import override
-from src.commons.utils import get_model_server_logger
-from src.core.model_utils import (
+from src.core.utils.hallucination_utils import HallucinationState
+from src.core.utils.model_utils import (
     Message,
     ChatMessage,
     Choice,
     ChatCompletionResponse,
     ArchBaseHandler,
 )
-from src.core.hallucination import HallucinationStateHandler
 
-logger = get_model_server_logger()
+
+logger = utils.get_model_server_logger()
 
 
 class ArchIntentConfig:
@@ -74,7 +76,6 @@ class ArchIntentHandler(ArchBaseHandler):
         )
 
         self.extra_instruction = config.EXTRA_INSTRUCTION
-        self.prompt_prefilling = False
 
     @override
     def _convert_tools(self, tools: List[Dict[str, Any]]) -> str:
@@ -122,15 +123,19 @@ class ArchIntentHandler(ArchBaseHandler):
         Note:
             Currently only support vllm inference
         """
+        logger.info("[Arch-Intent] - ChatCompletion")
 
         # In the case that no tools are available, simply return `No` to avoid making a call
         if len(req.tools) == 0:
             model_response = Message(content="No", tool_calls=[])
+            logger.info("No tools found, return `No` as the model response.")
         else:
             messages = self._process_messages(
                 req.messages, req.tools, self.extra_instruction
             )
 
+            logger.info(f"[request]: {json.dumps(messages)}")
+
             model_response = self.client.chat.completions.create(
                 messages=messages,
                 model=self.model_name,
@@ -138,9 +143,7 @@ class ArchIntentHandler(ArchBaseHandler):
                 extra_body=self.generation_params,
             )
 
-            logger.info(
-                "arch_intent response: %s", json.dumps(model_response.model_dump())
-            )
+            logger.info(f"[response]: {json.dumps(model_response.model_dump())}")
 
             model_response = Message(
                 content=model_response.choices[0].message.content, tool_calls=[]
@@ -160,7 +163,11 @@ class ArchFunctionConfig:
     TASK_PROMPT = textwrap.dedent(
         """
     You are a helpful assistant.
-    """
+
+    Today's date: {}
+    """.format(
+            utils.get_today_date()
+        )
     ).strip()
 
     TOOL_PROMPT_TEMPLATE = textwrap.dedent(
@@ -189,7 +196,7 @@ class ArchFunctionConfig:
         "temperature": 0.6,
         "top_p": 1.0,
         "top_k": 10,
-        "max_tokens": 512,
+        "max_tokens": 1024,
         "stop_token_ids": [151645],
         "logprobs": True,
         "top_logprobs": 10,
@@ -241,10 +248,11 @@ class ArchFunctionHandler(ArchBaseHandler):
 
         self.prefill_params = config.PREFILL_CONFIG["prefill_params"]
         self.prefill_prefix = config.PREFILL_CONFIG["prefill_prefix"]
-        self.prompt_prefilling = False
+
+        self.hallucination_state = None
 
         # Predefine data types for verification. Only support Python for now.
-        # [TODO] Extend the list of support data types
+        # TODO: Extend the list of support data types
         self.support_data_types = {
             type_name: getattr(builtins, type_name)
             for type_name in config.SUPPORT_DATA_TYPES
@@ -365,15 +373,15 @@ class ArchFunctionHandler(ArchBaseHandler):
 
         return {"result": tool_calls, "status": is_valid, "message": error_message}
 
-    def _correcting_type(self, value, target_type):
+    def _convert_data_type(self, value: str, target_type: str):
+        # TODO: Add more conversion rules as needed
         try:
-            if target_type == float and isinstance(value, int):
+            if target_type is float and isinstance(value, int):
                 return float(value)
-            elif target_type == list and isinstance(value, str):
+            elif target_type is list and isinstance(value, str):
                 return ast.literal_eval(value)
-            elif target_type == str and not isinstance(value, str):
+            elif target_type is str and not isinstance(value, str):
                 return str(value)
-            # Add more conversion rules as needed
         except (ValueError, TypeError, json.JSONDecodeError):
             pass
         return value
@@ -426,32 +434,34 @@ class ArchFunctionHandler(ArchBaseHandler):
                         break
 
                 # Verify the data type of each parameter in the tool calls
+                function_properties = functions[func_name]["properties"]
+
                 for param_name in func_args:
-                    if param_name not in functions[func_name]["properties"]:
+                    if param_name not in function_properties:
                         is_valid = False
                         invalid_tool_call = tool_call
                         error_message = f"Parameter `{param_name}` is not defined in the function `{func_name}`."
                         break
                     else:
                         param_value = func_args[param_name]
-                        data_type = functions[func_name]["properties"][param_name][
-                            "type"
-                        ]
+                        target_type = function_properties[param_name]["type"]
 
-                        if data_type in self.support_data_types:
-                            if not isinstance(
-                                param_value,
-                                self.support_data_types[data_type],
-                            ) and not isinstance(
-                                self._correcting_type(
-                                    param_value, self.support_data_types[data_type]
-                                ),
-                                self.support_data_types[data_type],
-                            ):
-                                is_valid = False
-                                invalid_tool_call = tool_call
-                                error_message = f"Parameter `{param_name}` is expected to have the data type `{self.support_data_types[data_type]}`, but got `{type(param_value)}`."
-                                break
+                        if target_type in self.support_data_types:
+                            data_type = self.support_data_types[target_type]
+
+                            if not isinstance(param_value, data_type):
+                                param_value = self._convert_data_type(
+                                    param_value, data_type
+                                )
+                                if not isinstance(param_value, data_type):
+                                    is_valid = False
+                                    invalid_tool_call = tool_call
+                                    error_message = f"Parameter `{param_name}` is expected to have the data type `{data_type}`, got `{type(param_value)}`."
+                                    break
+                        else:
+                            error_message = (
+                                f"Data type `{target_type}` is not supported."
+                            )
 
         return {
             "status": is_valid,
@@ -491,51 +501,8 @@ class ArchFunctionHandler(ArchBaseHandler):
                 **self.prefill_params,
             },
         )
-        self.prompt_prefilling = True
         return prefill_response
 
-    def _check_length_and_pop_messages(self, messages, max_tokens=4096):
-        """
-        Trims the `messages` list to ensure the total token count does not exceed `max_tokens`.
-
-        Args:
-            messages (list): List of message dictionaries.
-            max_tokens (int): Maximum allowed token count.
-
-        Returns:
-            list: Trimmed list of messages.
-        """
-
-        def estimate_token_length(messages):
-            """Estimate the total token length of the messages."""
-            total_tokens = 0
-            for message in messages:
-                # Approximate token length: assuming ~4 characters per token on average
-                total_tokens += len(message["content"]) // 4
-            return total_tokens
-
-        # Calculate initial token length
-        total_tokens = estimate_token_length(messages)
-
-        # Trim messages if token count exceeds the limit
-        while total_tokens > max_tokens and len(messages) >= 3:
-            # Find the first non-system message pair
-            for i in range(len(messages)):
-                if messages[i]["role"] != "system":
-                    # Remove the 'user'/'assistant' pair
-                    if i + 1 < len(messages) and messages[i + 1]["role"] in [
-                        "user",
-                        "assistant",
-                    ]:
-                        del messages[i : i + 2]
-                    else:
-                        del messages[i]
-                    break
-            # Recalculate token length
-            total_tokens = estimate_token_length(messages)
-
-        return messages
-
     @override
     async def chat_completion(self, req: ChatMessage) -> ChatCompletionResponse:
         """
@@ -550,13 +517,11 @@ class ArchFunctionHandler(ArchBaseHandler):
         Note:
             Currently only support vllm inference
         """
-
-        logger.info(
-            f"model_server => arch_function: request body: {json.dumps(req.model_dump())}"
-        )
+        logger.info("[Arch-Function] - ChatCompletion")
 
         messages = self._process_messages(req.messages, req.tools)
-        messages = self._check_length_and_pop_messages(messages)
+
+        logger.info(f"[request]: {json.dumps(messages)}")
 
         # always enable `stream=True` to collect model responses
         response = self.client.chat.completions.create(
@@ -567,45 +532,39 @@ class ArchFunctionHandler(ArchBaseHandler):
         )
 
         # initialize the hallucination handler, which is an iterator
-        self.hallu_handler = HallucinationStateHandler(
+        self.hallucination_state = HallucinationState(
             response_iterator=response, function=req.tools
         )
 
-        model_response, self.has_tool_call = "", None
-        self.hallucination = False
-        for _ in self.hallu_handler:
+        model_response = ""
+
+        has_tool_calls, has_hallucination = None, False
+        for _ in self.hallucination_state:
             # check if the first token is <tool_call>
-            if len(self.hallu_handler.tokens) > 0 and self.has_tool_call is None:
-                if self.hallu_handler.tokens[0] == "<tool_call>":
-                    self.has_tool_call = True
+            if len(self.hallucination_state.tokens) > 0 and has_tool_calls is None:
+                if self.hallucination_state.tokens[0] == "<tool_call>":
+                    has_tool_calls = True
                 else:
-                    self.has_tool_call = False
+                    has_tool_calls = False
                     break
 
             # if the model is hallucinating, start parameter gathering
-            if self.hallu_handler.hallucination is True:
-                self.hallucination = True
-                logger.info(
-                    f"{self.hallu_handler.error_message} - start parameter gathering"
-                )
-                logger.info(
-                    f"Hallucinated response : {''.join(self.hallu_handler.tokens)}"
-                )
-                # [TODO] - add break when hallucination is detected
+            if self.hallucination_state.hallucination is True:
+                has_hallucination = True
                 break
-        if self.hallucination is True:
-            prefill_response = self._engage_parameter_gathering(messages)
-            model_response = prefill_response.choices[0].message.content
 
-        if self.has_tool_call and self.hallucination is False:
-            # [TODO] - Review: remove the following code
-
-            model_response = "".join(self.hallu_handler.tokens)
-            logger.info(f"Tool call found, no hallucination detected {model_response}!")
-        # start parameter gathering if the model is not generating tool calls
-        if self.has_tool_call is False:
-            # [TODO] - Review: remove the following code
-            logger.info("No tool call found, start parameter gathering")
+        if has_tool_calls:
+            if has_hallucination:
+                # start prompt prefilling if hallcuination is found in tool calls
+                logger.info(
+                    f"[Hallucination]: {self.hallucination_state.error_message}"
+                )
+                prefill_response = self._engage_parameter_gathering(messages)
+                model_response = prefill_response.choices[0].message.content
+            else:
+                model_response = "".join(self.hallucination_state.tokens)
+        else:
+            # start parameter gathering if the model is not generating tool calls
             prefill_response = self._engage_parameter_gathering(messages)
             model_response = prefill_response.choices[0].message.content
 
@@ -613,21 +572,20 @@ class ArchFunctionHandler(ArchBaseHandler):
         extracted = self._extract_tool_calls(model_response)
 
         if len(extracted["result"]) and extracted["status"]:
-            # [TODO] Review: define the behavior in the case that tool call extraction fails
-            # if not extracted["status"]:
             verified = self._verify_tool_calls(
                 tools=req.tools, tool_calls=extracted["result"]
             )
-            # [TODO] - Review: remvoe the following code
-            # print(f"[Verified] - {verified}")
 
-            # [TODO] Review: In the case that tool calls are invalid, define the protocol to collect debugging output and the behavior to handle it appropriately
             if verified["status"]:
+                logger.info(
+                    f"[Tool calls]: {json.dumps([tool_call['function'] for tool_call in extracted['result']])}"
+                )
                 model_response = Message(content="", tool_calls=extracted["result"])
-                log_message = f"model_server <= arch_function: (tool_calls): {json.dumps([tool_call['function'] for tool_call in extracted['result']])}"
-                logger.info(log_message)
             else:
-                raise ValueError(f"Invalid tool call: {verified['message']}")
+                logger.error(f"Invalid tool call - {verified['message']}")
+                # raise ValueError(
+                #     f"[Arch-Function]: Invalid tool call - {verified['message']}"
+                # )
         else:
             model_response = Message(content=model_response, tool_calls=[])
 
@@ -635,10 +593,6 @@ class ArchFunctionHandler(ArchBaseHandler):
             choices=[Choice(message=model_response)], model=self.model_name
         )
 
-        # [TODO] Review: define the protocol to collect debugging output
-
-        logger.info(
-            f"model_server <= arch_function: response body: {json.dumps(chat_completion_response.model_dump())}"
-        )
+        logger.info(f"[response]: {json.dumps(chat_completion_response.model_dump())}")
 
         return chat_completion_response
diff --git a/model_server/src/core/guardrails.py b/model_server/src/core/guardrails.py
index 33fe38f7..0d2f34fc 100644
--- a/model_server/src/core/guardrails.py
+++ b/model_server/src/core/guardrails.py
@@ -1,12 +1,12 @@
-import time
 import torch
 import numpy as np
 import src.commons.utils as utils
-from transformers import AutoTokenizer
-from src.core.model_utils import GuardRequest, GuardResponse
 
-# from optimum.intel import OVModelForSequenceClassification
-from transformers import AutoModelForSequenceClassification
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from src.core.utils.model_utils import GuardRequest, GuardResponse
+
+
+logger = utils.get_model_server_logger()
 
 
 class ArchGuardHanlder:
@@ -76,26 +76,15 @@ class ArchGuardHanlder:
             text, truncation=True, max_length=max_length, return_tensors="pt"
         ).to(self.device)
 
-        start_time = time.perf_counter()
-
         with torch.no_grad():
             logits = self.model(**inputs).logits.cpu().detach().numpy()[0]
             prob = ArchGuardHanlder.softmax(logits)[
                 self.support_tasks[task]["positive_class"]
-            ]
+            ].item()
 
-        latency = time.perf_counter() - start_time
+        verdict = prob > self.support_tasks[task]["threshold"]
 
-        if prob > self.support_tasks[task]["threshold"]:
-            verdict = True
-            sentence = text
-        else:
-            verdict = False
-            sentence = None
-
-        return GuardResponse(
-            prob=[prob.item()], verdict=verdict, sentence=[sentence], latency=latency
-        )
+        return GuardResponse(task=task, input=text, prob=prob, verdict=verdict)
 
     def predict(self, req: GuardRequest, max_num_words=300) -> GuardResponse:
         """
@@ -115,29 +104,37 @@ class ArchGuardHanlder:
         if req.task not in self.support_tasks:
             raise NotImplementedError(f"{req.task} is not supported!")
 
+        logger.info("[Arch-Guard] - Prediction")
+        logger.info(f"[request]: {req.input}")
+
         if len(req.input.split()) < max_num_words:
-            return self._predict_text(req.task, req.input)
+            result = self._predict_text(req.task, req.input)
         else:
+            prob, verdict = 0.0, False
+
             # split into chunks if text is long
             text_chunks = self._split_text_into_chunks(req.input)
 
-            prob, verdict, sentence, latency = [], False, [], 0
-
             for chunk in text_chunks:
                 chunk_result = self._predict_text(req.task, chunk)
 
                 if chunk_result.verdict:
-                    prob.append(chunk_result.prob[0])
+                    prob = chunk_result.prob
                     verdict = True
-                    sentence.append(chunk_result.sentence[0])
-                    latency += chunk_result.latency
+                    break
 
-            return GuardResponse(
-                prob=prob, verdict=verdict, sentence=sentence, latency=latency
+            result = GuardResponse(
+                task=req.task, input=req.input, prob=prob, verdict=verdict
             )
 
+        logger.info(
+            f"[response]: {req.task}: {'True' if result.verdict else 'False'} (prob: {result.prob:.2f})"
+        )
 
-def get_guardrail_handler(device: str = None):
+        return result
+
+
+def get_guardrail_handler(model_name: str = "katanemo/Arch-Guard", device: str = None):
     """
     Initializes and returns an instance of ArchGuardHanlder based on the specified device.
 
@@ -151,19 +148,11 @@ def get_guardrail_handler(device: str = None):
     if device is None:
         device = utils.get_device()
 
-    model_class, model_name = None, None
-    # if device == "cpu":
-    #     model_class = OVModelForSequenceClassification
-    #     model_name = "katanemo/Arch-Guard-cpu"
-    # else:
-    model_class = AutoModelForSequenceClassification
-    model_name = "katanemo/Arch-Guard"
-
     guardrail_dict = {
         "device": device,
         "model_name": model_name,
         "tokenizer": AutoTokenizer.from_pretrained(model_name, trust_remote_code=True),
-        "model": model_class.from_pretrained(
+        "model": AutoModelForSequenceClassification.from_pretrained(
             model_name, device_map=device, low_cpu_mem_usage=True
         ),
     }
diff --git a/model_server/src/core/utils/__init__.py b/model_server/src/core/utils/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/model_server/src/core/hallucination.py b/model_server/src/core/utils/hallucination_utils.py
similarity index 97%
rename from model_server/src/core/hallucination.py
rename to model_server/src/core/utils/hallucination_utils.py
index a7b32e73..50006224 100644
--- a/model_server/src/core/hallucination.py
+++ b/model_server/src/core/utils/hallucination_utils.py
@@ -127,7 +127,7 @@ def is_parameter_property(
     return property_name in parameter_info
 
 
-class HallucinationStateHandler:
+class HallucinationState:
     """
     A class to handle the state of hallucination detection in token processing.
 
@@ -145,7 +145,7 @@ class HallucinationStateHandler:
 
     def __init__(self, response_iterator=None, function=None):
         """
-        Initializes the HallucinationStateHandler with default values.
+        Initializes the HallucinationState with default values.
         """
         self.tokens: List[str] = []
         self.logprobs: List[float] = []
@@ -173,7 +173,7 @@ class HallucinationStateHandler:
 
     def _reset_parameters(self):
         """
-        Resets all parameters in the HallucinationStateHandler to their default values.
+        Resets all parameters in the HallucinationState to their default values.
         """
         self.state = None
         self.parameter_name_done = False
@@ -268,7 +268,7 @@ class HallucinationStateHandler:
         # if the parameter name is done and the token is a parameter name start token, change the state
         elif (
             self.parameter_name_done
-            and self.open_bracket == False
+            and not self.open_bracket
             and content.endswith(PARAMETER_NAME_START_PATTERN)
         ):
             self.state = "parameter_name"
@@ -324,7 +324,7 @@ class HallucinationStateHandler:
         # if the state is parameter value and the token is an end token, change the state
         elif (
             self.state == "parameter_value"
-            and self.open_bracket == False
+            and not self.open_bracket
             and content.endswith(PARAMETER_VALUE_END_TOKEN)
         ):
             self.state = None
@@ -354,7 +354,7 @@ class HallucinationStateHandler:
             self.HALLUCINATION_THRESHOLD_DICT[self.mask[-1].value],
         ):
             self.hallucination = True
-            self.error_message = f"Hallucination: token '{self.tokens[-1]}' is uncertain. {self.token_probs_map}"
+            self.error_message = f"token '{self.tokens[-1]}' is uncertain. Generated response:\n{''.join(self.tokens)}"
 
     def _count_consecutive_token(self, token=MaskToken.PARAMETER_VALUE) -> int:
         """
diff --git a/model_server/src/core/model_utils.py b/model_server/src/core/utils/model_utils.py
similarity index 77%
rename from model_server/src/core/model_utils.py
rename to model_server/src/core/utils/model_utils.py
index 3f6b36b0..d971d115 100644
--- a/model_server/src/core/model_utils.py
+++ b/model_server/src/core/utils/model_utils.py
@@ -14,8 +14,8 @@ class Message(BaseModel):
 
 
 class ChatMessage(BaseModel):
-    messages: list[Message]
-    tools: List[Dict[str, Any]]
+    messages: List[Message] = []
+    tools: List[Dict[str, Any]] = []
 
 
 class Choice(BaseModel):
@@ -28,8 +28,8 @@ class ChatCompletionResponse(BaseModel):
     id: Optional[int] = 0
     object: Optional[str] = "chat_completion"
     created: Optional[str] = ""
-    choices: List[Choice]
-    model: str
+    choices: List[Choice] = []
+    model: str = ""
     metadata: Optional[Dict[str, str]] = {}
 
 
@@ -39,10 +39,11 @@ class GuardRequest(BaseModel):
 
 
 class GuardResponse(BaseModel):
-    prob: List
-    verdict: bool
-    sentence: List
-    latency: float = 0
+    task: str = ""
+    input: str = ""
+    prob: float = 0.0
+    verdict: bool = False
+    metadata: Optional[Dict[str, str]] = {}
 
 
 # ================================================================================================
@@ -121,6 +122,7 @@ class ArchBaseHandler:
         messages: List[Message],
         tools: List[Dict[str, Any]] = None,
         extra_instruction: str = None,
+        max_tokens=4096,
     ):
         """
         Processes a list of messages and formats them appropriately.
@@ -129,6 +131,7 @@ class ArchBaseHandler:
             messages (List[Message]): A list of message objects.
             tools (List[Dict[str, Any]], optional): A list of tools to include in the system prompt.
             extra_instruction (str, optional): Additional instructions to append to the last user message.
+            max_tokens (int): Maximum allowed token count, assuming ~4 characters per token on average.
 
         Returns:
             List[Dict[str, Any]]: A list of processed message dictionaries.
@@ -149,14 +152,12 @@ class ArchBaseHandler:
             )
 
             if tool_calls:
-                # [TODO] Extend to support multiple function calls
+                # TODO: Extend to support multiple function calls
                 role = "assistant"
                 content = f"<tool_call>\n{json.dumps(tool_calls[0]['function'])}\n</tool_call>"
-            elif message.role == "tool":
+            elif role == "tool":
                 role = "user"
-                content = (
-                    f"<tool_response>\n{json.dumps(message.content)}\n</tool_response>"
-                )
+                content = f"<tool_response>\n{json.dumps(content)}\n</tool_response>"
 
             processed_messages.append({"role": role, "content": content})
 
@@ -165,6 +166,23 @@ class ArchBaseHandler:
         if extra_instruction:
             processed_messages[-1]["content"] += extra_instruction
 
+        # keep the first system message and shift conversation if the total token length exceeds the limit
+        def truncate_messages(messages: List[Dict[str, Any]]):
+            num_tokens, conversation_idx = 0, 0
+            if messages[0]["role"] == "system":
+                num_tokens += len(messages[0]["content"]) // 4
+                conversation_idx = 1
+
+            for message_idx in range(len(messages) - 1, conversation_idx - 1, -1):
+                num_tokens += len(messages[message_idx]["content"]) // 4
+                if num_tokens >= max_tokens:
+                    if messages[message_idx]["role"] == "user":
+                        break
+
+            return messages[:conversation_idx] + messages[message_idx:]
+
+        processed_messages = truncate_messages(processed_messages)
+
         return processed_messages
 
     async def chat_completion(self, req: ChatMessage) -> ChatCompletionResponse:
diff --git a/model_server/src/main.py b/model_server/src/main.py
index b09e635c..74f60011 100644
--- a/model_server/src/main.py
+++ b/model_server/src/main.py
@@ -1,25 +1,25 @@
 import json
-import logging
 import os
 import time
+import logging
+import src.commons.utils as utils
 
 from src.commons.globals import handler_map
-from src.core.model_utils import ChatMessage, GuardRequest
+from src.core.utils.model_utils import (
+    ChatMessage,
+    ChatCompletionResponse,
+    GuardRequest,
+    GuardResponse,
+)
 
 from fastapi import FastAPI, Response
 from opentelemetry import trace
 from opentelemetry.sdk.trace import TracerProvider
-from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
-from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
 from opentelemetry.sdk.trace.export import BatchSpanProcessor
 from opentelemetry.sdk.resources import Resource
+from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor
+from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
 
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
-)
-
-logger = logging.getLogger(__name__)
 
 resource = Resource.create(
     {
@@ -31,11 +31,6 @@ resource = Resource.create(
 trace.set_tracer_provider(TracerProvider(resource=resource))
 tracer = trace.get_tracer(__name__)
 
-
-app = FastAPI()
-
-FastAPIInstrumentor().instrument_app(app)
-
 # DEFAULT_OTLP_HOST = "http://localhost:4317"
 DEFAULT_OTLP_HOST = "none"
 
@@ -47,6 +42,16 @@ otlp_exporter = OTLPSpanExporter(
 trace.get_tracer_provider().add_span_processor(BatchSpanProcessor(otlp_exporter))
 
 
+logger = utils.get_model_server_logger()
+logging.getLogger("httpx").setLevel(logging.ERROR)
+logging.getLogger("opentelemetry.exporter.otlp.proto.grpc.exporter").setLevel(
+    logging.ERROR
+)
+
+app = FastAPI()
+FastAPIInstrumentor().instrument_app(app)
+
+
 @app.get("/healthz")
 async def healthz():
     return {"status": "ok"}
@@ -62,73 +67,78 @@ async def models():
 
 @app.post("/function_calling")
 async def function_calling(req: ChatMessage, res: Response):
+    logger.info("[Endpoint: /function_calling]")
+    logger.info(f"[request body]: {json.dumps(req.model_dump())}")
+
+    final_response: ChatCompletionResponse = None
+    error_messages = None
+
     try:
         intent_start_time = time.perf_counter()
         intent_response = await handler_map["Arch-Intent"].chat_completion(req)
         intent_latency = time.perf_counter() - intent_start_time
 
         if handler_map["Arch-Intent"].detect_intent(intent_response):
-            # [TODO] measure agreement between intent detection and function calling
+            # TODO: measure agreement between intent detection and function calling
             try:
                 function_start_time = time.perf_counter()
-                function_calling_response = await handler_map[
-                    "Arch-Function"
-                ].chat_completion(req)
+                final_response = await handler_map["Arch-Function"].chat_completion(req)
                 function_latency = time.perf_counter() - function_start_time
-                function_calling_response.metadata = {
+
+                final_response.metadata = {
                     "intent_latency": str(round(intent_latency * 1000, 3)),
                     "function_latency": str(round(function_latency * 1000, 3)),
-                    "hallucination": str(handler_map["Arch-Function"].hallucination),
-                    "tokens_uncertainty": json.dumps(
-                        handler_map["Arch-Function"].hallu_handler.token_probs_map
-                    ),
-                    "prompt_prefilling": str(
-                        handler_map["Arch-Function"].prompt_prefilling
+                    "hallucination": str(
+                        handler_map["Arch-Function"].hallucination_state.hallucination
                     ),
                 }
-
-                return function_calling_response
             except ValueError as e:
                 res.statuscode = 503
-                error_message = "Tool call extraction error"
-                logger.error(f" {error_message}: {e}")
-                return {"error": f"[Arch-Function] - {error_message} - {e}"}
+                error_messages = f"[Arch-Function] - Error in tool call extraction: {e}"
             except StopIteration as e:
                 res.statuscode = 500
-                error_message = "Hallucination iterator error"
-                logger.error(f" {error_message}: {e}")
-                return {"error": f"[Arch-Function] - {error_message} - {e}"}
+                error_messages = f"[Arch-Function] - Error in hallucination check: {e}"
             except Exception as e:
-                # [TODO] Review: update how to collect debugging outputs
-                logger.error(f"Error in chat_completion from `Arch-Function`: {e}")
                 res.status_code = 500
-                return {"error": f"[Arch-Function] - {e}"}
-        # [TODO] Review: define the behavior if `Arch-Intent` doesn't detect an intent
+                error_messages = f"[Arch-Function] - Error in ChatCompletion: {e}"
         else:
-            return {
-                "result": "No intent matched",
-                "intent_latency": round(intent_latency * 1000, 3),
+            intent_response.metadata = {
+                "intent_latency": str(round(intent_latency * 1000, 3)),
             }
+            final_response = intent_response
 
     except Exception as e:
-        # [TODO] Review: update how to collect debugging outputs
-        # logger.error(f"Error in chat_completion from `Arch-Intent`: {e}")
-        logger.error(f"Error in chat_completion /function_calling: {e}")
         res.status_code = 500
-        return {"error": f"[Arch-Intent] - {e}"}
+        error_messages = f"[Arch-Intent] - Error in ChatCompletion: {e}"
+
+    if error_messages is not None:
+        logger.error(error_messages)
+        final_response = ChatCompletionResponse(metadata={"error": error_messages})
+
+    return final_response
 
 
 @app.post("/guardrails")
 async def guardrails(req: GuardRequest, res: Response, max_num_words=300):
+    logger.info("[Endpoint: /guardrails] - Gateway")
+    logger.info(f"[request body]: {json.dumps(req.model_dump())}")
+
+    final_response: GuardResponse = None
+    error_messages = None
+
     try:
         guard_start_time = time.perf_counter()
-        guard_result = handler_map["Arch-Guard"].predict(req)
+        final_response = handler_map["Arch-Guard"].predict(req)
         guard_latency = time.perf_counter() - guard_start_time
-        return {
-            "response": guard_result,
+        final_response.metadata = {
             "guard_latency": round(guard_latency * 1000, 3),
         }
     except Exception as e:
-        # [TODO] Review: update how to collect debugging outputs
         res.status_code = 500
-        return {"error": f"[Arch-Guard] - {e}"}
+        error_messages = f"[Arch-Guard]: {e}"
+
+    if error_messages is not None:
+        logger.error(error_messages)
+        final_response = GuardResponse(metadata={"error": error_messages})
+
+    return final_response
diff --git a/model_server/tests/core/test_function_calling.py b/model_server/tests/core/test_function_calling.py
index 1f213bba..3f7971d8 100644
--- a/model_server/tests/core/test_function_calling.py
+++ b/model_server/tests/core/test_function_calling.py
@@ -1,12 +1,8 @@
-import os
+import pytest
 
 from src.commons.globals import handler_map
-from src.core.model_utils import ChatMessage, Message
-import pytest
-from fastapi.testclient import TestClient
-from unittest.mock import AsyncMock, patch
-from src.main import app
-from src.commons.globals import handler_map
+from src.core.utils.model_utils import ChatMessage, Message
+
 
 # define function
 get_weather_api = {
@@ -163,7 +159,10 @@ async def test_function_calling(get_data_func):
         function_calling_response = await handler_map["Arch-Function"].chat_completion(
             req
         )
-        assert handler_map["Arch-Function"].hallu_handler.hallucination == hallucination
+        assert (
+            handler_map["Arch-Function"].hallucination_state.hallucination
+            == hallucination
+        )
         response_txt = function_calling_response.choices[0].message.content
 
         if parameter_gathering:
diff --git a/model_server/tests/core/test_guardrails.py b/model_server/tests/core/test_guardrails.py
index e8d8ec81..74d2dc97 100644
--- a/model_server/tests/core/test_guardrails.py
+++ b/model_server/tests/core/test_guardrails.py
@@ -1,33 +1,6 @@
 from unittest.mock import patch, MagicMock
 from src.core.guardrails import get_guardrail_handler
 
-# Mock constants
-arch_guard_model_type = {
-    "cpu": "katanemo/Arch-Guard-cpu",
-    "cuda": "katanemo/Arch-Guard",
-    "mps": "katanemo/Arch-Guard",
-}
-
-
-# [TODO] Review: check the following code to test under `cpu`, `cuda`, and `mps`
-# Test for `get_guardrail_handler()` function on `cpu`
-@patch("src.core.guardrails.AutoTokenizer.from_pretrained")
-@patch("src.core.guardrails.AutoModelForSequenceClassification.from_pretrained")
-def test_guardrail_handler_on_cpu(mock_auto_model, mock_tokenizer):
-    device = "cpu"
-
-    mock_tokenizer.return_value = MagicMock()
-
-    guardrail = get_guardrail_handler(device=device)
-
-    mock_tokenizer.assert_called_once_with(guardrail.model_name, trust_remote_code=True)
-
-    mock_auto_model.assert_called_once_with(
-        guardrail.model_name,
-        device_map=device,
-        low_cpu_mem_usage=True,
-    )
-
 
 # Test for `get_guardrail_handler()` function on `cuda`
 @patch("src.core.guardrails.AutoTokenizer.from_pretrained")
diff --git a/model_server/tests/test_app.py b/model_server/tests/test_app.py
index 39d377f4..0029e4b5 100644
--- a/model_server/tests/test_app.py
+++ b/model_server/tests/test_app.py
@@ -8,7 +8,6 @@ from src.main import app
 client = TestClient(app)
 
 
-# [TODO] Review: check the following code. Seems something wrong with asyncio package❗
 # Unit tests for the health check endpoint
 @pytest.mark.asyncio
 async def test_healthz():
@@ -17,7 +16,6 @@ async def test_healthz():
     assert response.json() == {"status": "ok"}
 
 
-# [TODO] Review: check the following code. Seems something wrong with asyncio package❗
 # Unit test for the models endpoint
 @pytest.mark.asyncio
 async def test_models():
@@ -27,17 +25,14 @@ async def test_models():
     assert len(response.json()["data"]) > 0
 
 
-# [TODO] Review: check the following code. Seems something wrong with asyncio package❗
 # Unit test for the guardrail endpoint
 @pytest.mark.asyncio
 async def test_guardrail_endpoint():
     request_data = {"input": "Test for jailbreak and toxicity", "task": "jailbreak"}
     response = client.post("/guardrails", json=request_data)
     assert response.status_code == 200
-    assert "response" in response.json()
 
 
-# [TODO] Review: check the following code. Seems something wrong with asyncio package❗
 # Unit test for the function calling endpoint
 @pytest.mark.asyncio
 async def test_function_calling_endpoint():
@@ -50,4 +45,3 @@ async def test_function_calling_endpoint():
         }
         response = await client.post("/function_calling", json=request_data)
         assert response.status_code == 200
-        assert "result" in response.json()
diff --git a/tests/modelserver/poetry.lock b/tests/modelserver/poetry.lock
index 956bd619..d4a0640f 100644
--- a/tests/modelserver/poetry.lock
+++ b/tests/modelserver/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "attrs"
@@ -111,116 +111,103 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
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 ]
 
+[package.dependencies]
+tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
+
 [package.extras]
 toml = ["tomli"]
 
@@ -326,6 +316,20 @@ orderly-set = ">=5.2.3,<6"
 cli = ["click (==8.1.7)", "pyyaml (==6.0.2)"]
 optimize = ["orjson"]
 
+[[package]]
+name = "exceptiongroup"
+version = "1.2.2"
+description = "Backport of PEP 654 (exception groups)"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.extras]
+test = ["pytest (>=6)"]
+
 [[package]]
 name = "h11"
 version = "0.14.0"
@@ -519,9 +523,11 @@ files = [
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=1.5,<2"
+tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
@@ -733,19 +739,61 @@ files = [
 tests = ["pytest", "pytest-cov"]
 
 [[package]]
-name = "trio"
-version = "0.27.0"
-description = "A friendly Python library for async concurrency and I/O"
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+version = "2.2.1"
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 python-versions = ">=3.8"
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+    {file = "tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c"},
+    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13"},
+    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281"},
+    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272"},
+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140"},
+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2"},
+    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744"},
+    {file = "tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec"},
+    {file = "tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69"},
+    {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
+    {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
+]
+
+[[package]]
+name = "trio"
+version = "0.28.0"
+description = "A friendly Python library for async concurrency and I/O"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "trio-0.28.0-py3-none-any.whl", hash = "sha256:56d58977acc1635735a96581ec70513cc781b8b6decd299c487d3be2a721cd94"},
+    {file = "trio-0.28.0.tar.gz", hash = "sha256:4e547896fe9e8a5658e54e4c7c5fa1db748cbbbaa7c965e7d40505b928c73c05"},
 ]
 
 [package.dependencies]
 attrs = ">=23.2.0"
 cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 idna = "*"
 outcome = "*"
 sniffio = ">=1.3.0"
@@ -763,6 +811,7 @@ files = [
 ]
 
 [package.dependencies]
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 trio = ">=0.11"
 wsproto = ">=0.14"
 
@@ -779,13 +828,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.dependencies]
@@ -846,5 +895,5 @@ h11 = ">=0.9.0,<1"
 
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.12"
-content-hash = "56e809b45f1e4d0ab865523472c7ea4587d1c4b2408ee62ec16d1507aecf0e1d"
+python-versions = "^3.10"
+content-hash = "d0ba3f1875425991d473c9b6fee9f9cb35de5df5835fd7f7e27e3863ff7d37fe"
diff --git a/tests/modelserver/pyproject.toml b/tests/modelserver/pyproject.toml
index c328d3c9..af13bfd5 100644
--- a/tests/modelserver/pyproject.toml
+++ b/tests/modelserver/pyproject.toml
@@ -8,7 +8,7 @@ readme = "README.md"
 package-mode = false
 
 [tool.poetry.dependencies]
-python = "^3.12"
+python = "^3.10"
 pytest = "^8.3.3"
 requests = "^2.29.0"
 selenium = "^4.11.2"
diff --git a/tests/modelserver/test_hallucination.py b/tests/modelserver/test_hallucination.py
index 67b487f8..f1a3d9b4 100644
--- a/tests/modelserver/test_hallucination.py
+++ b/tests/modelserver/test_hallucination.py
@@ -1,13 +1,9 @@
-import json
 import os
 import pytest
 import requests
-from deepdiff import DeepDiff
 import logging
 import yaml
 
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
 
 MODEL_SERVER_ENDPOINT = os.getenv(
     "MODEL_SERVER_ENDPOINT", "http://localhost:51000/function_calling"
@@ -37,13 +33,9 @@ def test_model_server(test_data):
 
     response = requests.post(MODEL_SERVER_ENDPOINT, json=input)
     assert response.status_code == 200
-    # print(json.dumps(response.json()))
-    # ensure that response is json
     assert response.headers["content-type"] == "application/json"
+
     response_json = response.json()
     assert response_json
-    metadata = response_json.get("metadata", [])
+    metadata = response_json.get("metadata", {})
     assert (metadata["hallucination"].lower() == "true") == expected[0]["hallucination"]
-    assert (metadata["prompt_prefilling"].lower() == "true") == expected[0][
-        "prompt_prefilling"
-    ]
diff --git a/tests/modelserver/test_hallucination_data.yaml b/tests/modelserver/test_hallucination_data.yaml
index 9223edfa..8e6e6b26 100644
--- a/tests/modelserver/test_hallucination_data.yaml
+++ b/tests/modelserver/test_hallucination_data.yaml
@@ -5,8 +5,7 @@ test_cases:
         - role: "user"
           content: "what is the weather forecast for seattle?"
       tools:
-        - id: "weather-112"
-          type: "function"
+        - type: "function"
           function:
             name: "get_current_weather"
             description: "Get current weather at a location."
@@ -14,17 +13,18 @@ test_cases:
               type: "object"
               properties:
                 location:
-                  type: "str"
+                  type: "string"
                   description: "The location to get the weather for"
                   format: "City, State"
                 days:
-                  type: "int"
-                  description: "the number of days for the request."
-              required: ["location", "days"]
+                  type: "integer"
+                  description: "The number of days for the request."
+              required:
+                - location
+                - days
     expected:
-    - type: "metadata"
-      hallucination: false
-      prompt_prefilling: true
+      - type: "metadata"
+        hallucination: false
 
   - id: "[WEATHER AGENT] - single turn, single tool, hallucination"
     input:
@@ -32,8 +32,7 @@ test_cases:
         - role: "user"
           content: "what is the weather in Seattle in days?"
       tools:
-        - id: "weather-112"
-          type: "function"
+        - type: "function"
           function:
             name: "get_current_weather"
             description: "Get current weather at a location."
@@ -51,7 +50,6 @@ test_cases:
     expected:
     - type: "metadata"
       hallucination: true
-      prompt_prefilling: true
 
   - id: "[WEATHER AGENT] - multi turn, single tool, all params passed"
     input:
@@ -85,8 +83,6 @@ test_cases:
     expected:
     - type: "metadata"
       hallucination: true
-      prompt_prefilling: true
-
 
   - id: "[WEATHER AGENT] - multi turn, single tool, clarification"
     input:
@@ -120,7 +116,7 @@ test_cases:
     expected:
     - type: "metadata"
       hallucination: false
-      prompt_prefilling: true
+
   - id: "[SALE AGENT] - single turn, single tool, hallucination region"
     input:
       messages:
@@ -148,7 +144,6 @@ test_cases:
     expected:
     - type: "metadata"
       hallucination: true
-      prompt_prefilling: true
 
   - id: "[SALE AGENT] - single turn, single tool, hallucination industry"
     input:
@@ -177,7 +172,6 @@ test_cases:
     expected:
     - type: "metadata"
       hallucination: true
-      prompt_prefilling: true
 
   - id: "[PRODUCT AGENT] - single turn, single tool, hallucination industry"
     input:
@@ -261,4 +255,3 @@ test_cases:
     expected:
     - type: "metadata"
       hallucination: true
-      prompt_prefilling: true
diff --git a/tests/modelserver/test_modelserver.py b/tests/modelserver/test_modelserver.py
index a8031993..75e6d27e 100644
--- a/tests/modelserver/test_modelserver.py
+++ b/tests/modelserver/test_modelserver.py
@@ -1,13 +1,10 @@
-import json
 import os
 import pytest
 import requests
-from deepdiff import DeepDiff
-import logging
 import yaml
 
-logger = logging.getLogger(__name__)
-logger.setLevel(logging.DEBUG)
+from deepdiff import DeepDiff
+
 
 MODEL_SERVER_ENDPOINT = os.getenv(
     "MODEL_SERVER_ENDPOINT", "http://localhost:51000/function_calling"
diff --git a/tests/modelserver/test_success_data.yaml b/tests/modelserver/test_success_data.yaml
index e34076a8..36e3dcfe 100644
--- a/tests/modelserver/test_success_data.yaml
+++ b/tests/modelserver/test_success_data.yaml
@@ -107,50 +107,51 @@ test_cases:
           location: "Los Angeles, CA"
           days: 5
 
-  - id: "[WEATHER AGENT] - multi turn, single tool, infer param from context"
-    input:
-      messages:
-        - role: "user"
-          content: "how is the weather in chicago for next 5 days?"
-        - role: "assistant"
-          tool_calls:
-            - id: "call_3394"
-              type: "function"
-              function:
-                name: "get_current_weather"
-                arguments:
-                  city: "Chicago, IL"
-                  days: 5
-        - role: "tool"
-          content: "--"
-          tool_call_id: "call_3394"
-        - role: "assistant"
-          content: "--"
-        - role: "user"
-          content: "how is the weather in LA?"
-      tools:
-        - type: "function"
-          function:
-            name: "get_current_weather"
-            description: "Get current weather at a location."
-            parameters:
-              type: "object"
-              properties:
-                location:
-                  type: "str"
-                  description: "The location to get the weather for"
-                  format: "City, State"
-                days:
-                  type: "int"
-                  description: "the number of days for the request."
-              required: ["location", "days"]
-    expected:
-    - type: "function"
-      function:
-        name: "get_current_weather"
-        arguments:
-          location: "Los Angeles, CA"
-          days: 5
+  # Skip!
+  # - id: "[WEATHER AGENT] - multi turn, single tool, infer param from context"
+  #   input:
+  #     messages:
+  #       - role: "user"
+  #         content: "how is the weather in chicago for next 5 days?"
+  #       - role: "assistant"
+  #         tool_calls:
+  #           - id: "call_3394"
+  #             type: "function"
+  #             function:
+  #               name: "get_current_weather"
+  #               arguments:
+  #                 location: "Chicago, IL"
+  #                 days: 5
+  #       - role: "tool"
+  #         content: "--"
+  #         tool_call_id: "call_3394"
+  #       - role: "assistant"
+  #         content: "--"
+  #       - role: "user"
+  #         content: "how is the weather in LA?"
+  #     tools:
+  #       - type: "function"
+  #         function:
+  #           name: "get_current_weather"
+  #           description: "Get current weather at a location."
+  #           parameters:
+  #             type: "object"
+  #             properties:
+  #               location:
+  #                 type: "str"
+  #                 description: "The location to get the weather for"
+  #                 format: "City, State"
+  #               days:
+  #                 type: "int"
+  #                 description: "the number of days for the request."
+  #             required: ["location", "days"]
+  #   expected:
+  #   - type: "function"
+  #     function:
+  #       name: "get_current_weather"
+  #       arguments:
+  #         location: "Los Angeles, CA"
+  #         days: 5
 
   - id: "[WEATHER AGENT] - multi turn, single tool, infer param from context 2nd try"
     input:
diff --git a/tests/rest/api_model_server.rest b/tests/rest/api_model_server.rest
index dea5e884..ed86fac3 100644
--- a/tests/rest/api_model_server.rest
+++ b/tests/rest/api_model_server.rest
@@ -15,7 +15,6 @@ Content-Type: application/json
   ],
   "tools": [
     {
-        "id": "weather-112",
         "type": "function",
         "function": {
             "name": "get_current_weather",
@@ -53,32 +52,30 @@ Content-Type: application/json
   ],
   "tools": [
     {
-        "id": "weather-112",
-        "type": "function",
-        "function": {
-            "name": "get_current_weather",
-            "description": "Get current weather at a location.",
-            "parameters": {
-                "type": "object",
-                "properties": {
-                    "location": {
-                        "type": "str",
-                        "description": "The location to get the weather for",
-                        "format": "City, State"
-                    },
-                    "unit": {
-                        "type": "str",
-                        "description": "The unit to return the weather in.",
-                        "enum": ["celsius", "fahrenheit"],
-                        "default": "celsius"
-                    },
-                    "days": {
-                        "type": "str",
-                        "description": "the number of days for the request."
-                    }
-                },
-                "required": ["location", "days"]
+      "type": "function",
+      "function": {
+        "name": "get_current_weather",
+        "description": "Get current weather at a location.",
+        "parameters": {
+          "type": "object",
+          "properties": {
+            "location": {
+              "type": "string",
+              "description": "The location to get the weather for",
+              "format": "City, State"
+            },
+            "unit": {
+              "type": "string",
+              "description": "The unit to return the weather in.",
+              "enum": ["celsius", "fahrenheit"],
+              "default": "celsius"
+            },
+            "days": {
+              "type": "string",
+              "description": "The number of days for the request."
             }
+          },
+          "required": ["location", "days"]
         }
       }
     }
@@ -87,6 +84,7 @@ Content-Type: application/json
 
 
 
+
 ### talk to function calling endpoint
 POST {{model_server_endpoint}}/function_calling HTTP/1.1
 Content-Type: application/json
@@ -121,7 +119,7 @@ Content-Type: application/json
 }
 
 ### talk to Arch-Intent directly for completion
-POST https://api.fc.archgw.com/v1/chat/completions HTTP/1.1
+POST {{archfc_endpoint}}/v1/chat/completions HTTP/1.1
 Content-Type: application/json
 
 {
@@ -212,7 +210,6 @@ Content-Type: application/json
   ],
   "tools": [
     {
-        "id": "weather-112",
         "type": "function",
         "function": {
             "name": "weather_forecast",
diff --git a/tests/rest/insurance_agent.rest b/tests/rest/insurance_agent.rest
index 0ae0def1..225c7d8a 100644
--- a/tests/rest/insurance_agent.rest
+++ b/tests/rest/insurance_agent.rest
@@ -31,7 +31,6 @@ Content-Type: application/json
   ],
   "tools": [
     {
-        "id": "weather-112",
         "type": "function",
         "function": {
             "name": "get_current_weather",
@@ -103,7 +102,6 @@ Content-Type: application/json
   ],
   "tools": [
     {
-        "id": "weather-112",
         "type": "function",
         "function": {
             "name": "get_current_weather",
@@ -172,7 +170,6 @@ Content-Type: application/json
   ],
   "tools": [
     {
-        "id": "weather-112",
         "type": "function",
         "function":
         {
@@ -374,7 +371,6 @@ Content-Type: application/json
   ],
   "tools": [
     {
-        "id": "weather-112",
         "type": "function",
         "function":
           {