Improve cli (#179)

.github/workflows/checks.yml

@@ -1,6 +1,9 @@
 name: Checks
 
-on: pull_request
+on:
+  pull_request:
+  push:
+    branches: [main]
 
 jobs:
   test:

README.md

@@ -69,7 +69,7 @@ llm_providers:
   - name: OpenAI
     provider: openai
     access_key: OPENAI_API_KEY
-    model: gpt-4o
+    model: gpt-3.5-turbo
     default: true
     stream: true
 

arch/tools/README.md

@@ -56,9 +56,18 @@ sh build_cli.sh
 archgw build
 ```
 
-## Step 5: start model server in the background
+### Step 5: download models
+This will help download models so model_server can load faster. This should be done once.
+
+```bash
+archgw download-models
 ```
-archgw up --services model_server
+
+### Logs
+`archgw` command can also view logs from gateway and model_server. Use following command to view logs,
+
+```bash
+archgw logs --follow
 ```
 
 ## Uninstall Instructions: archgw CLI

arch/tools/cli/consts.py

@@ -0,0 +1 @@
+KATANEMO_DOCKERHUB_REPO = "katanemo/archgw"

arch/tools/cli/core.py

@@ -4,6 +4,37 @@ import time
 import pkg_resources
 import select
 from cli.utils import run_docker_compose_ps, print_service_status, check_services_state
+from cli.utils import getLogger
+import sys
+
+log = getLogger(__name__)
+
+
+def stream_gateway_logs(follow):
+    """
+    Stream logs from the arch gateway service.
+    """
+    compose_file = pkg_resources.resource_filename(
+        __name__, "../config/docker-compose.yaml"
+    )
+
+    log.info("Logs from arch gateway service.")
+
+    options = ["docker", "compose", "-p", "arch", "logs"]
+    if follow:
+        options.append("-f")
+    try:
+        # Run `docker-compose logs` to stream logs from the gateway service
+        subprocess.run(
+            options,
+            cwd=os.path.dirname(compose_file),
+            check=True,
+            stdout=sys.stdout,
+            stderr=sys.stderr,
+        )
+
+    except subprocess.CalledProcessError as e:
+        log.info(f"Failed to stream logs: {str(e)}")
 
 
 def start_arch(arch_config_file, env, log_timeout=120):
@@ -14,7 +45,7 @@ def start_arch(arch_config_file, env, log_timeout=120):
         path (str): The path where the prompt_confi.yml file is located.
         log_timeout (int): Time in seconds to show logs before checking for healthy state.
     """
-
+    log.info("Starting arch gateway")
     compose_file = pkg_resources.resource_filename(
         __name__, "../config/docker-compose.yaml"
     )
@@ -35,9 +66,10 @@ def start_arch(arch_config_file, env, log_timeout=120):
             ),  # Ensure the Docker command runs in the correct path
             env=env,  # Pass the modified environment
             check=True,  # Raise an exception if the command fails
+            stderr=subprocess.PIPE,
+            stdout=subprocess.PIPE,
         )
-        print(f"Arch docker-compose started in detached.")
-        print("Monitoring `docker-compose ps` logs...")
+        log.info(f"Arch docker-compose started in detached.")
 
         start_time = time.time()
         services_status = {}
@@ -51,14 +83,14 @@ def start_arch(arch_config_file, env, log_timeout=120):
 
             # Check if timeout is reached
             if elapsed_time > log_timeout:
-                print(f"Stopping log monitoring after {log_timeout} seconds.")
+                log.info(f"Stopping log monitoring after {log_timeout} seconds.")
                 break
 
             current_services_status = run_docker_compose_ps(
                 compose_file=compose_file, env=env
             )
             if not current_services_status:
-                print(
+                log.info(
                     "Status for the services could not be detected. Something went wrong. Please run docker logs"
                 )
                 break
@@ -74,11 +106,11 @@ def start_arch(arch_config_file, env, log_timeout=120):
             running_states = ["running", "up"]
 
             if check_services_state(current_services_status, running_states):
-                print("Arch is up and running!")
+                log.info("Arch gateway is up and running!")
                 break
 
             if check_services_state(current_services_status, unhealthy_states):
-                print(
+                log.info(
                     "One or more Arch services are unhealthy. Please run `docker logs` for more information"
                 )
                 print_service_status(
@@ -92,7 +124,7 @@ def start_arch(arch_config_file, env, log_timeout=120):
                     services_status[service_name]["State"]
                     != current_services_status[service_name]["State"]
                 ):
-                    print(
+                    log.info(
                         "One or more Arch services have changed state. Printing current state"
                     )
                     print_service_status(current_services_status)
@@ -101,7 +133,7 @@ def start_arch(arch_config_file, env, log_timeout=120):
             services_status = current_services_status
 
     except subprocess.CalledProcessError as e:
-        print(f"Failed to start Arch: {str(e)}")
+        log.info(f"Failed to start Arch: {str(e)}")
 
 
 def stop_arch():
@@ -115,17 +147,21 @@ def stop_arch():
         __name__, "../config/docker-compose.yaml"
     )
 
+    log.info("Shutting down arch gateway service.")
+
     try:
         # Run `docker-compose down` to shut down all services
         subprocess.run(
             ["docker", "compose", "-p", "arch", "down"],
             cwd=os.path.dirname(compose_file),
             check=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
         )
-        print("Successfully shut down all services.")
+        log.info("Successfully shut down arch gateway service.")
 
     except subprocess.CalledProcessError as e:
-        print(f"Failed to shut down services: {str(e)}")
+        log.info(f"Failed to shut down services: {str(e)}")
 
 
 def start_arch_modelserver():
@@ -134,12 +170,13 @@ def start_arch_modelserver():
 
     """
     try:
+        log.info("archgw_modelserver restart")
         subprocess.run(
             ["archgw_modelserver", "restart"], check=True, start_new_session=True
         )
-        print("Successfull run the archgw model_server")
+        log.info("Successfull ran model_server")
     except subprocess.CalledProcessError as e:
-        print(f"Failed to start model_server. Please check archgw_modelserver logs")
+        log.info(f"Failed to start model_server. Please check archgw_modelserver logs")
         sys.exit(1)
 
 
@@ -153,7 +190,7 @@ def stop_arch_modelserver():
             ["archgw_modelserver", "stop"],
             check=True,
         )
-        print("Successfull stopped the archgw model_server")
+        log.info("Successfull stopped the archgw model_server")
     except subprocess.CalledProcessError as e:
-        print(f"Failed to start model_server. Please check archgw_modelserver logs")
+        log.info(f"Failed to start model_server. Please check archgw_modelserver logs")
         sys.exit(1)

arch/tools/cli/main.py

@@ -10,8 +10,17 @@ from cli.core import (
     stop_arch_modelserver,
     start_arch,
     stop_arch,
+    stream_gateway_logs,
 )
 from cli.utils import get_llm_provider_access_keys, load_env_file_to_dict
+from cli.consts import KATANEMO_DOCKERHUB_REPO
+from cli.utils import getLogger
+import multiprocessing
+from huggingface_hub import snapshot_download
+import joblib
+
+
+log = getLogger(__name__)
 
 logo = r"""
      _                _
@@ -39,17 +48,17 @@ MODEL_SERVER_BUILD_FILE = "./model_server/pyproject.toml"
 
 @click.command()
 @click.option(
-    "--services",
+    "--service",
     default="all",
-    help="Services to build. Options are all, model_server, archgw. Default is all",
+    help="Optioanl parameter to specify which service to build. Options are model_server, archgw",
 )
-def build(services):
+def build(service):
     """Build Arch from source. Must be in root of cloned repo."""
-    if services not in ["all", "model_server", "archgw"]:
-        print(f"Error: Invalid service {services}. Exiting")
+    if service not in ["model_server", "archgw", "all"]:
+        print(f"Error: Invalid service {service}. Exiting")
         sys.exit(1)
     # Check if /arch/Dockerfile exists
-    if services == "archgw" or services == "all":
+    if service == "archgw" or service == "all":
         if os.path.exists(ARCHGW_DOCKERFILE):
             click.echo("Building archgw image...")
             try:
@@ -60,7 +69,7 @@ def build(services):
                         "-f",
                         ARCHGW_DOCKERFILE,
                         "-t",
-                        "archgw:latest",
+                        f"{KATANEMO_DOCKERHUB_REPO}:latest",
                         ".",
                         "--add-host=host.docker.internal:host-gateway",
                     ],
@@ -77,7 +86,7 @@ def build(services):
     click.echo("archgw image built successfully.")
 
     """Install the model server dependencies using Poetry."""
-    if services == "model_server" or services == "all":
+    if service == "model_server" or service == "all":
         # Check if pyproject.toml exists
         if os.path.exists(MODEL_SERVER_BUILD_FILE):
             click.echo("Installing model server dependencies with Poetry...")
@@ -102,17 +111,17 @@ def build(services):
     "--path", default=".", help="Path to the directory containing arch_config.yaml"
 )
 @click.option(
-    "--services",
+    "--service",
     default="all",
-    help="Services to start. Options are all, model_server, archgw. Default is all",
+    help="Service to start. Options are model_server, archgw.",
 )
-def up(file, path, services):
+def up(file, path, service):
     """Starts Arch."""
-    if services not in ["all", "model_server", "archgw"]:
-        print(f"Error: Invalid service {services}. Exiting")
+    if service not in ["all", "model_server", "archgw"]:
+        print(f"Error: Invalid service {service}. Exiting")
         sys.exit(1)
 
-    if services == "model_server":
+    if service == "model_server":
         start_arch_modelserver()
         return
 
@@ -142,7 +151,7 @@ def up(file, path, services):
         print(f"Exiting archgw up: {e}")
         sys.exit(1)
 
-    print("Starting Arch gateway and Arch model server services via docker ")
+    log.info("Starging arch model server and arch gateway")
 
     # Set the ARCH_CONFIG_FILE environment variable
     env_stage = {}
@@ -184,7 +193,7 @@ def up(file, path, services):
     env.update(env_stage)
     env["ARCH_CONFIG_FILE"] = arch_config_file
 
-    if services == "archgw":
+    if service == "archgw":
         start_arch(arch_config_file, env)
     else:
         start_arch_modelserver()
@@ -193,19 +202,19 @@ def up(file, path, services):
 
 @click.command()
 @click.option(
-    "--services",
+    "--service",
     default="all",
-    help="Services to down. Options are all, model_server, archgw. Default is all",
+    help="Service to down. Options are all, model_server, archgw. Default is all",
 )
-def down(services):
+def down(service):
     """Stops Arch."""
 
-    if services not in ["all", "model_server", "archgw"]:
-        print(f"Error: Invalid service {services}. Exiting")
+    if service not in ["all", "model_server", "archgw"]:
+        print(f"Error: Invalid service {service}. Exiting")
         sys.exit(1)
-    if services == "model_server":
+    if service == "model_server":
         stop_arch_modelserver()
-    elif services == "archgw":
+    elif service == "archgw":
         stop_arch()
     else:
         stop_arch_modelserver()
@@ -234,9 +243,74 @@ def generate_prompt_targets(file):
     targets.generate_prompt_targets(file)
 
 
+def stream_model_server_logs(follow):
+    log_file = "~/archgw_logs/modelserver.log"
+    log_file_expanded = os.path.expanduser(log_file)
+    stream_command = ["tail"]
+    if follow:
+        stream_command.append("-f")
+    stream_command.append(log_file_expanded)
+    subprocess.run(
+        stream_command,
+        check=True,
+        stdout=sys.stdout,
+        stderr=sys.stderr,
+    )
+
+
+@click.command()
+@click.option(
+    "--service",
+    default="all",
+    help="Service to monitor. By default it will monitor both gateway and model_serve",
+)
+@click.option("--follow", help="Follow the logs", is_flag=True)
+def logs(service, follow):
+    """Stream logs from arch services."""
+
+    if service not in ["all", "model_server", "archgw"]:
+        print(f"Error: Invalid service {service}. Exiting")
+        sys.exit(1)
+    archgw_process = None
+    if service == "archgw" or service == "all":
+        archgw_process = multiprocessing.Process(
+            target=stream_gateway_logs, args=(follow,)
+        )
+        archgw_process.start()
+
+    model_server_process = None
+    if service == "model_server" or service == "all":
+        model_server_process = multiprocessing.Process(
+            target=stream_model_server_logs, args=(follow,)
+        )
+        model_server_process.start()
+
+    if archgw_process:
+        archgw_process.join()
+    if model_server_process:
+        model_server_process.join()
+
+
+model_list = [
+    "katanemo/Arch-Guard-cpu",
+    "katanemo/Arch-Guard",
+    "katanemo/bge-large-en-v1.5",
+]
+
+
+@click.command()
+def download_models():
+    """Download required models from Hugging Face Hub in the cache directory"""
+    for model in model_list:
+        log.info(f"Downloading model: {model}")
+        snapshot_download(repo_id=model)
+
+
 main.add_command(up)
 main.add_command(down)
 main.add_command(build)
+main.add_command(logs)
+main.add_command(download_models)
 main.add_command(generate_prompt_targets)
 
 if __name__ == "__main__":

arch/tools/cli/utils.py

@@ -5,6 +5,23 @@ import select
 import shlex
 import yaml
 import json
+import logging
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+)
+
+
+def getLogger(name="cli"):
+    import logging
+
+    logger = logging.getLogger(name)
+    logger.setLevel(logging.INFO)
+    return logger
+
+
+log = getLogger(__name__)
 
 
 def run_docker_compose_ps(compose_file, env):
@@ -15,7 +32,7 @@ def run_docker_compose_ps(compose_file, env):
         path (str): The path where the docker-compose.yml file is located.
     """
     try:
-        # Run `docker-compose ps` to get the health status of each service
+        # Run `docker compose ps` to get the health status of each service
         ps_process = subprocess.Popen(
             [
                 "docker",
@@ -38,7 +55,7 @@ def run_docker_compose_ps(compose_file, env):
 
         # Check if there is any error output
         if error_output:
-            print(
+            log.info(
                 f"Error while checking service status:\n{error_output}",
                 file=os.sys.stderr,
             )
@@ -48,18 +65,18 @@ def run_docker_compose_ps(compose_file, env):
         return services
 
     except subprocess.CalledProcessError as e:
-        print(f"Failed to check service status. Error:\n{e.stderr}")
+        log.info(f"Failed to check service status. Error:\n{e.stderr}")
         return e
 
 
 # Helper method to print service status
 def print_service_status(services):
-    print(f"{'Service Name':<25} {'State':<20} {'Ports'}")
-    print("=" * 72)
+    log.info(f"{'Service Name':<25} {'State':<20} {'Ports'}")
+    log.info("=" * 72)
     for service_name, info in services.items():
         status = info["STATE"]
         ports = info["PORTS"]
-        print(f"{service_name:<25} {status:<20} {ports}")
+        log.info(f"{service_name:<25} {status:<20} {ports}")
 
 
 # check for states based on the states passed in

arch/tools/poetry.lock

@@ -44,102 +44,102 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.9"
+version = "3.10.10"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8b3fb28a9ac8f2558760d8e637dbf27aef1e8b7f1d221e8669a1074d1a266bb2"},
-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91aa966858593f64c8a65cdefa3d6dc8fe3c2768b159da84c1ddbbb2c01ab4ef"},
-    {file = "aiohttp-3.10.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:63649309da83277f06a15bbdc2a54fbe75efb92caa2c25bb57ca37762789c746"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e3e7fabedb3fe06933f47f1538df7b3a8d78e13d7167195f51ca47ee12690373"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c070430fda1a550a1c3a4c2d7281d3b8cfc0c6715f616e40e3332201a253067"},
-    {file = "aiohttp-3.10.9-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:51d0a4901b27272ae54e42067bc4b9a90e619a690b4dc43ea5950eb3070afc32"},
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-    {file = "aiohttp-3.10.9-cp310-cp310-win32.whl", hash = "sha256:aeebd3061f6f1747c011e1d0b0b5f04f9f54ad1a2ca183e687e7277bef2e0da2"},
-    {file = "aiohttp-3.10.9-cp310-cp310-win_amd64.whl", hash = "sha256:fa430b871220dc62572cef9c69b41e0d70fcb9d486a4a207a5de4c1f25d82593"},
-    {file = "aiohttp-3.10.9-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:16e6a51d8bc96b77f04a6764b4ad03eeef43baa32014fce71e882bd71302c7e4"},
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 [package.dependencies]
@@ -203,13 +203,13 @@ trio = ["trio (>=0.26.1)"]
 
 [[package]]
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 [package.dependencies]
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 [[package]]
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+version = "1.23.0"
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 datasets = "*"
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 packaging = "*"
 sympy = "*"
 torch = ">=1.11"
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+transformers = {version = ">=4.29", extras = ["sentencepiece"]}
 
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-exporters-gpu = ["onnx", "onnxruntime-gpu", "timm"]
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 [[package]]
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 scipy = "*"
 sentencepiece = "*"
 setuptools = "*"
 torch = ">=1.11"
-transformers = ">=4.36,<4.45"
+transformers = ">=4.36,<4.46"
 
 [package.extras]
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 [[package]]
 name = "packaging"
@@ -2924,111 +2934,111 @@ files = [
 
 [[package]]
 name = "tokenizers"
-version = "0.19.1"
+version = "0.20.1"
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 ]
 
 [package.dependencies]
@@ -3115,13 +3125,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.44.2"
+version = "4.45.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -3135,21 +3145,21 @@ regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
 sentencepiece = {version = ">=0.1.91,<0.1.92 || >0.1.92", optional = true, markers = "extra == \"sentencepiece\""}
-tokenizers = ">=0.19,<0.20"
+tokenizers = ">=0.20,<0.21"
 tqdm = ">=4.27"
 
 [package.extras]
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 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -3160,7 +3170,7 @@ natten = ["natten (>=0.14.6,<0.15.0)"]
 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)", "ruff (==0.5.1)", "urllib3 (<2.0.0)"]
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 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 ruff = ["ruff (==0.5.1)"]
@@ -3170,16 +3180,17 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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 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)"]
+tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (<=0.9.16)"]
-tokenizers = ["tokenizers (>=0.19,<0.20)"]
-torch = ["accelerate (>=0.21.0)", "torch"]
+tokenizers = ["tokenizers (>=0.20,<0.21)"]
+torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -3521,4 +3532,4 @@ propcache = ">=0.2.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "11509af5007ffed46d1a84a53de8fb2f816eca24247064b2d85560e80d5eaf24"
+content-hash = "35ffc7511fb162b24cc24f3d2884128b8e34b68c42811eba4f878479d98b55b7"

arch/tools/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "archgw"
-version = "0.0.1"
+version = "0.0.3"
 description = "Python-based CLI tool to manage Arch Gateway."
 authors = ["Katanemo Labs, Inc."]
 packages = [
@@ -22,7 +22,8 @@ click = "^8.1.7"
 jinja2 = "^3.1.4"
 jsonschema = "^4.23.0"
 setuptools = "75.1.0"
-archgw_modelserver= "0.0.2"
+archgw_modelserver= "0.0.3"
+huggingface_hub = "^0.25.2"
 
 [tool.poetry.scripts]
 archgw = "cli.main:main"

demos/function_calling/arch_config.yaml

@@ -16,10 +16,10 @@ overrides:
   prompt_target_intent_matching_threshold: 0.6
 
 llm_providers:
-  - name: gpt-4o
+  - name: gpt
     access_key: OPENAI_API_KEY
     provider: openai
-    model: gpt-4o
+    model: gpt-3.5-turbo
     default: true
 
 system_prompt: |

demos/network_agent/arch_config.yaml

@@ -9,7 +9,7 @@ llm_providers:
   - name: OpenAI
     provider: openai
     access_key: OPENAI_API_KEY
-    model: gpt-4o
+    model: gpt-3.5-turbo
     default: true
 
 # default system prompt used by all prompt targets

docs/source/build_with_arch/includes/agent/function-calling-agent.yaml

@@ -9,7 +9,7 @@ llm_providers:
   - name: OpenAI
     provider: openai
     access_key: OPENAI_API_KEY
-    model: gpt-4o
+    model: gpt-3.5-turbo
     default: true
 
 # default system prompt used by all prompt targets

model_server/app/__init__.py

@@ -1,107 +0,0 @@
-import sys
-import os
-import time
-import requests
-import psutil
-import tempfile
-import subprocess
-
-
-# Path to the file where the server process ID will be stored
-PID_FILE = os.path.join(tempfile.gettempdir(), "model_server.pid")
-
-
-def run_server():
-    """Start, stop, or restart the Uvicorn server based on command-line arguments."""
-    if len(sys.argv) > 1:
-        action = sys.argv[1]
-    else:
-        action = "start"
-
-    if action == "start":
-        start_server()
-    elif action == "stop":
-        stop_server()
-    elif action == "restart":
-        restart_server()
-    else:
-        print(f"Unknown action: {action}")
-        sys.exit(1)
-
-
-def start_server():
-    """Start the Uvicorn server and save the process ID."""
-    if os.path.exists(PID_FILE):
-        print("Server is already running. Use 'model_server restart' to restart it.")
-        sys.exit(1)
-
-    print(
-        "Starting Archgw Model Server - Loading some awesomeness, this may take a little time.)"
-    )
-    process = subprocess.Popen(
-        ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "51000"],
-        start_new_session=True,
-        stdout=subprocess.DEVNULL,  # Suppress standard output. There is a logger that model_server prints to
-        stderr=subprocess.DEVNULL,  # Suppress standard error. There is a logger that model_server prints to
-    )
-
-    if wait_for_health_check("http://0.0.0.0:51000/healthz"):
-        # Write the process ID to the PID file
-        with open(PID_FILE, "w") as f:
-            f.write(str(process.pid))
-        print(f"Archgw Model Server started with PID {process.pid}")
-    else:
-        # Add model_server boot-up logs
-        print("Archgw Model Server - Didn't Sart In Time. Shutting Down")
-        process.terminate()
-
-
-def wait_for_health_check(url, timeout=180):
-    """Wait for the Uvicorn server to respond to health-check requests."""
-    start_time = time.time()
-    while time.time() - start_time < timeout:
-        try:
-            response = requests.get(url)
-            if response.status_code == 200:
-                return True
-        except requests.ConnectionError:
-            time.sleep(1)
-    print("Timed out waiting for Archgw Model Server to respond.")
-    return False
-
-
-def stop_server():
-    """Stop the running Uvicorn server."""
-    if not os.path.exists(PID_FILE):
-        print("Status: Archgw Model Server not running")
-        return
-
-    # Read the process ID from the PID file
-    with open(PID_FILE, "r") as f:
-        pid = int(f.read())
-
-    try:
-        # Get process by PID
-        process = psutil.Process(pid)
-
-        # Gracefully terminate the process
-        process.terminate()  # Sends SIGTERM by default
-        process.wait(timeout=10)  # Wait for up to 10 seconds for the process to exit
-
-        print(f"Server with PID {pid} stopped.")
-        os.remove(PID_FILE)
-
-    except psutil.NoSuchProcess:
-        print(f"Process with PID {pid} not found. Cleaning up PID file.")
-        os.remove(PID_FILE)
-    except psutil.TimeoutExpired:
-        print(f"Process with PID {pid} did not terminate in time. Forcing shutdown.")
-        process.kill()  # Forcefully kill the process
-        os.remove(PID_FILE)
-
-
-def restart_server():
-    """Restart the Uvicorn server."""
-    print("Check: Is Archgw Model Server running?")
-    stop_server()
-    start_server()

model_server/app/cli.py

@@ -0,0 +1,119 @@
+import sys
+import os
+import time
+import requests
+import psutil
+import tempfile
+import subprocess
+import logging
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+)
+
+log = logging.getLogger("model_server.cli")
+log.setLevel(logging.INFO)
+
+# Path to the file where the server process ID will be stored
+PID_FILE = os.path.join(tempfile.gettempdir(), "model_server.pid")
+
+
+def run_server():
+    """Start, stop, or restart the Uvicorn server based on command-line arguments."""
+    if len(sys.argv) > 1:
+        action = sys.argv[1]
+    else:
+        action = "start"
+
+    if action == "start":
+        start_server()
+    elif action == "stop":
+        stop_server()
+    elif action == "restart":
+        restart_server()
+    else:
+        log.info(f"Unknown action: {action}")
+        sys.exit(1)
+
+
+def start_server():
+    """Start the Uvicorn server and save the process ID."""
+    if os.path.exists(PID_FILE):
+        log.info("Server is already running. Use 'model_server restart' to restart it.")
+        sys.exit(1)
+
+    log.info(
+        "Starting model server - loading some awesomeness, this may take some time :)"
+    )
+    process = subprocess.Popen(
+        ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "51000"],
+        start_new_session=True,
+        bufsize=1,
+        universal_newlines=True,
+        stdout=subprocess.PIPE,  # Suppress standard output. There is a logger that model_server prints to
+        stderr=subprocess.PIPE,  # Suppress standard error. There is a logger that model_server prints to
+    )
+
+    if wait_for_health_check("http://0.0.0.0:51000/healthz"):
+        # Write the process ID to the PID file
+        with open(PID_FILE, "w") as f:
+            f.write(str(process.pid))
+        log.info(f"Model server started with PID {process.pid}")
+    else:
+        # Add model_server boot-up logs
+        log.info("Model server - Didn't Sart In Time. Shutting Down")
+        process.terminate()
+
+
+def wait_for_health_check(url, timeout=180):
+    """Wait for the Uvicorn server to respond to health-check requests."""
+    start_time = time.time()
+    while time.time() - start_time < timeout:
+        try:
+            response = requests.get(url)
+            if response.status_code == 200:
+                return True
+        except requests.ConnectionError:
+            time.sleep(1)
+    print("Timed out waiting for model server to respond.")
+    return False
+
+
+def stop_server():
+    """Stop the running Uvicorn server."""
+    log.info("Stopping model server")
+    if not os.path.exists(PID_FILE):
+        log.info("Process id file not found, seems like model server was not running")
+        return
+
+    # Read the process ID from the PID file
+    with open(PID_FILE, "r") as f:
+        pid = int(f.read())
+
+    try:
+        # Get process by PID
+        process = psutil.Process(pid)
+
+        # Gracefully terminate the process
+        process.terminate()  # Sends SIGTERM by default
+        process.wait(timeout=10)  # Wait for up to 10 seconds for the process to exit
+
+        log.info(f"Model server with PID {pid} stopped.")
+        os.remove(PID_FILE)
+
+    except psutil.NoSuchProcess:
+        log.info(f"Model server with PID {pid} not found. Cleaning up PID file.")
+        os.remove(PID_FILE)
+    except psutil.TimeoutExpired:
+        log.info(
+            f"Model server with PID {pid} did not terminate in time. Forcing shutdown."
+        )
+        process.kill()  # Forcefully kill the process
+        os.remove(PID_FILE)
+
+
+def restart_server():
+    """Restart the Uvicorn server."""
+    stop_server()
+    start_server()

model_server/app/commons/constants.py

@@ -5,6 +5,7 @@ import app.loader as loader
 from app.function_calling.model_handler import ArchFunctionHandler
 from app.prompt_guard.model_handler import ArchGuardHanlder
 
+logger = utils.get_model_server_logger()
 
 arch_function_hanlder = ArchFunctionHandler()
 arch_function_endpoint = "https://api.fc.archgw.com/v1"
@@ -19,7 +20,6 @@ arch_function_generation_params = {
 
 arch_guard_model_type = {"cpu": "katanemo/Arch-Guard-cpu", "gpu": "katanemo/Arch-Guard"}
 
-
 # Model definition
 embedding_model = loader.get_embedding_model()
 zero_shot_model = loader.get_zero_shot_model()

model_server/app/loader.py

@@ -6,12 +6,15 @@ from optimum.onnxruntime import (
     ORTModelForFeatureExtraction,
     ORTModelForSequenceClassification,
 )
+import app.commons.utilities as utils
+
+logger = utils.get_model_server_logger()
 
 
 def get_embedding_model(
     model_name=os.getenv("MODELS", "katanemo/bge-large-en-v1.5"),
 ):
-    print("Loading Embedding Model...")
+    logger.info("Loading Embedding Model...")
 
     if glb.DEVICE != "cuda":
         model = ORTModelForFeatureExtraction.from_pretrained(
@@ -32,7 +35,7 @@ def get_embedding_model(
 def get_zero_shot_model(
     model_name=os.getenv("ZERO_SHOT_MODELS", "katanemo/bart-large-mnli"),
 ):
-    print("Loading Zero-shot Model...")
+    logger.info("Loading Zero-shot Model...")
 
     if glb.DEVICE != "cuda":
         model = ORTModelForSequenceClassification.from_pretrained(
@@ -58,7 +61,7 @@ def get_zero_shot_model(
 
 
 def get_prompt_guard(model_name, hardware_config="cpu"):
-    print("Loading Guard Model...")
+    logger.info("Loading Guard Model...")
 
     if hardware_config == "cpu":
         from optimum.intel import OVModelForSequenceClassification

model_server/app/main.py

@@ -4,7 +4,6 @@ import app.commons.utilities as utils
 import app.commons.globals as glb
 import app.prompt_guard.model_utils as guard_utils
 
-
 from typing import List, Dict
 from pydantic import BaseModel
 from fastapi import FastAPI, Response, HTTPException
@@ -17,8 +16,7 @@ from app.function_calling.model_utils import (
 
 logger = utils.get_model_server_logger()
 
-logger.info(f"Devices Avialble: {glb.DEVICE}")
-
+logger.info(f"Ready to serve traffic. available device: {glb.DEVICE}")
 
 app = FastAPI()
 

model_server/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "archgw_modelserver"
-version = "0.0.2"
+version = "0.0.3"
 description = "A model server for serving models"
 authors = ["Katanemo Labs, Inc <archgw@katanemo.com>"]
 license = "Apache 2.0"
@@ -31,7 +31,7 @@ onnx = "1.17.0"
 onnxruntime = "1.19.2"
 
 [tool.poetry.scripts]
-archgw_modelserver = "app:run_server"
+archgw_modelserver = "app.cli:run_server"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]