fixed PR based on feedback

This commit is contained in:
Salman Paracha 2025-09-15 18:13:27 -07:00
parent f13b420146
commit 8973bff7a0
11 changed files with 238 additions and 1012 deletions

View file

@ -213,10 +213,6 @@ def validate_and_render_schema():
model_aliases = config_yaml["model_aliases"]
for alias_name, alias_config in model_aliases.items():
target = alias_config.get("target")
if not target:
raise Exception(
f"Model alias '{alias_name}' must have a target specified"
)
if target not in model_name_keys:
raise Exception(
f"Model alias '{alias_name}' targets '{target}' which is not defined as a model. Available models: {', '.join(sorted(model_name_keys))}"

View file

@ -1,7 +1,7 @@
use std::sync::Arc;
use std::collections::HashMap;
use bytes::Bytes;
use common::configuration::{Configuration, ModelUsagePreference};
use common::configuration::{ModelAlias, ModelUsagePreference};
use common::consts::ARCH_PROVIDER_HINT_HEADER;
use hermesllm::apis::openai::ChatCompletionsRequest;
use hermesllm::clients::SupportedAPIs;
@ -28,7 +28,7 @@ pub async fn chat(
request: Request<hyper::body::Incoming>,
router_service: Arc<RouterService>,
full_qualified_llm_provider_url: String,
config: Arc<Configuration>,
model_aliases: Arc<Option<HashMap<String, ModelAlias>>>,
) -> Result<Response<BoxBody<Bytes, hyper::Error>>, hyper::Error> {
let request_path = request.uri().path().to_string();
@ -48,21 +48,21 @@ pub async fn chat(
}
};
// === Model alias resolution: update model field in client_request immediately ===
// Model alias resolution: update model field in client_request immediately
// This ensures all downstream objects use the resolved model
let original_model = client_request.model().to_string();
let resolved_model = if let Some(model_aliases) = &config.model_aliases {
if let Some(alias) = model_aliases.get(&original_model) {
let model_from_request = client_request.model().to_string();
let resolved_model = if let Some(model_aliases) = model_aliases.as_ref() {
if let Some(model_alias) = model_aliases.get(&model_from_request) {
debug!(
"[BRIGHTSTAFF] Model Alias: 'From {}' -> 'To{}'",
original_model, alias.target
"Model Alias: 'From {}' -> 'To{}'",
model_from_request, model_alias.target
);
alias.target.clone()
model_alias.target.clone()
} else {
original_model.clone()
model_from_request.clone()
}
} else {
original_model.clone()
model_from_request.clone()
};
client_request.set_model(resolved_model.clone());
@ -97,7 +97,7 @@ pub async fn chat(
};
debug!(
"[BRIGHTSTAFF -> ARCH_ROUTER] REQ: {}",
"[ARCH_ROUTER REQ]: {}",
&serde_json::to_string(&chat_completions_request_for_arch_router).unwrap()
);
@ -153,7 +153,7 @@ pub async fn chat(
Some((_, model_name)) => model_name,
None => {
debug!(
"[BRIGHTSTAFF] No route determined, using default model from request: {}",
"No route determined, using default model from request: {}",
chat_completions_request_for_arch_router.model
);
chat_completions_request_for_arch_router.model.clone()
@ -169,7 +169,7 @@ pub async fn chat(
};
debug!(
"[BRIGHTSTAFF -> ARCH_ROUTER] URL: {}, Final Model: {}",
"[ARCH_ROUTER] URL: {}, Resolved Model: {}",
full_qualified_llm_provider_url, model_name
);

View file

@ -94,14 +94,17 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
routing_llm_provider,
));
let model_aliases = Arc::new(arch_config.model_aliases.clone());
loop {
let (stream, _) = listener.accept().await?;
let peer_addr = stream.peer_addr()?;
let io = TokioIo::new(stream);
let router_service: Arc<RouterService> = Arc::clone(&router_service);
let model_aliases = Arc::clone(&model_aliases);
let llm_provider_url = llm_provider_url.clone();
let arch_config = Arc::clone(&arch_config);
let llm_providers = llm_providers.clone();
let service = service_fn(move |req| {
@ -110,13 +113,13 @@ async fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
let parent_cx = extract_context_from_request(&req);
let llm_provider_url = llm_provider_url.clone();
let llm_providers = llm_providers.clone();
let arch_config = Arc::clone(&arch_config);
let model_aliases = Arc::clone(&model_aliases);
async move {
match (req.method(), req.uri().path()) {
(&Method::POST, CHAT_COMPLETIONS_PATH | MESSAGES_PATH) => {
let fully_qualified_url = format!("{}{}", llm_provider_url, req.uri().path());
chat(req, router_service, fully_qualified_url, arch_config)
chat(req, router_service, fully_qualified_url, model_aliases)
.with_context(parent_cx)
.await
}

View file

@ -0,0 +1,36 @@
# Weather Forecast Service Demo (Java)
This demo shows how to run the Weather Forecast Service using Arch Gateway and Docker Compose.
## Prerequisites
- Docker & Docker Compose
- `archgw` CLI installed and available in your PATH
- Set your OpenAI API key in your environment: `export OPENAI_API_KEY=your-key-here`
## Usage
### Start the Demo
```bash
./run_demo.sh
```
This will:
1. Check for a `.env` file. If not present, it will create one with your `OPENAI_API_KEY`.
2. Start Arch Gateway using `arch_config.yaml`.
3. Start the Network Agent and related services using Docker Compose.
### Stop the Demo
```bash
./run_demo.sh down
```
This will:
1. Stop Docker Compose services.
2. Stop Arch Gateway.
## Notes
- Make sure your `OPENAI_API_KEY` is set in your environment before running the demo.
- The script will create a `.env` file if it does not exist.
- All services are started/stopped using the provided shell script for convenience.

View file

@ -1,6 +1,6 @@
# Model Alias Testing Suite
# Model Alias Demo Suite
This directory contains comprehensive tests for the model alias feature in archgw.
This directory contains demos for the model alias feature in archgw.
## Overview
@ -9,168 +9,140 @@ Model aliases allow clients to use friendly, semantic names instead of provider-
- `arch.reasoning.v1``gpt-4o` (capable model for complex reasoning)
- `creative-model``claude-3-5-sonnet` (creative tasks)
## Files
- `model_alias.py` - Main test suite with comprehensive alias tests
- `arch_config_with_aliases.yaml` - Configuration file with model aliases defined
- `pyproject.toml` - Python dependencies
- `README.md` - This file
## Test Categories
### 1. Model Alias Tests
Tests that verify alias resolution works correctly:
- OpenAI client with various aliases
- Anthropic client with various aliases
- Streaming and non-streaming requests
- Error handling for non-existent aliases
### 2. Direct Model Tests
Tests using direct model names (for comparison):
- Direct provider model names
- Verification that direct models still work
### 3. Legacy Tests
Existing tests to ensure backwards compatibility
## Configuration
The `arch_config_with_aliases.yaml` file defines several aliases:
```yaml
# Model aliases - friendly names that map to actual provider names
model_aliases:
# Task-specific aliases
# Alias for summarization tasks -> fast/cheap model
arch.summarize.v1:
target: 4o-mini
target: gpt-4o-mini
# Alias for general purpose tasks -> latest model
arch.v1:
target: o3
# Alias for reasoning tasks -> capable model
arch.reasoning.v1:
target: gpt-4o
# Alias for creative tasks -> Claude model
arch.creative.v1:
target: claude-3-5-sonnet
target: claude-3-5-sonnet-20241022
# Alias for quick responses -> fast model
arch.fast.v1:
target: claude-3-haiku-20240307
# Semantic aliases
summary-model:
target: 4o-mini
target: gpt-4o-mini
chat-model:
target: gpt-4o
creative-model:
target: claude-3-5-sonnet-20241022
```
## Running Tests
## Prerequisites
- Install all dependencies as described in the main Arch README ([link](https://github.com/katanemo/arch/?tab=readme-ov-file#prerequisites))
- Set your API keys in your environment:
- `export OPENAI_API_KEY=your-openai-key`
- `export ANTHROPIC_API_KEY=your-anthropic-key` (optional, but recommended for Anthropic tests)
### Prerequisites
## How to Run
1. **Start archgw services** with the alias configuration:
```bash
# From arch root directory
export ARCH_CONFIG_PATH_RENDERED=/path/to/arch_config_with_aliases.yaml
# Start your archgw services (brightstaff, llm_gateway, etc.)
1. Start the demo:
```sh
sh run_demo.sh
```
- This will create a `.env` file with your API keys (if not present).
- Starts Arch Gateway with model alias config (`arch_config_with_aliases.yaml`).
2. **Set environment variables**:
```bash
export OPENAI_API_KEY=your_openai_key
export ANTHROPIC_API_KEY=your_anthropic_key
export LLM_GATEWAY_ENDPOINT=http://localhost:12000/v1/chat/completions
2. To stop the demo:
```sh
sh run_demo.sh down
```
- This will stop Arch Gateway and any related services.
3. **Install dependencies**:
```bash
poetry install
```
## Example Requests
### Run Tests
#### Run specific test categories:
```bash
# Run only model alias tests (default)
python model_alias.py alias
# Run only direct model tests
python model_alias.py direct
# Run only legacy tests
python model_alias.py legacy
# Run all tests
python model_alias.py all
### OpenAI client with alias `arch.summarize.v1`
```sh
curl -sS -X POST "http://localhost:12000/v1/chat/completions" \
-H "Authorization: Bearer test-key" \
-H "Content-Type: application/json" \
-d '{
"model": "arch.summarize.v1",
"max_tokens": 50,
"messages": [
{ "role": "user",
"content": "Hello, please respond with exactly: Hello from alias arch.summarize.v1!"
}
]
}' | jq .
```
#### Run individual tests with pytest:
```bash
# Run specific test function
poetry run pytest -v -s model_alias.py::test_openai_client_with_alias_arch_summarize_v1
# Run all alias tests
poetry run pytest -v -s -k "alias"
# Run with detailed logging
poetry run pytest -v -s --log-cli-level=INFO model_alias.py
### OpenAI client with alias `arch.v1`
```sh
curl -sS -X POST "http://localhost:12000/v1/chat/completions" \
-H "Authorization: Bearer test-key" \
-H "Content-Type: application/json" \
-d '{
"model": "arch.v1",
"max_tokens": 50,
"messages": [
{ "role": "user",
"content": "Hello, please respond with exactly: Hello from alias arch.v1!"
}
]
}' | jq .
```
## Expected Behavior
### Anthropic client with alias `arch.summarize.v1`
```sh
curl -sS -X POST "http://localhost:12000/v1/messages" \
-H "x-api-key: test-key" \
-H "anthropic-version: 2023-06-01" \
-H "Content-Type: application/json" \
-d '{
"model": "arch.summarize.v1",
"max_tokens": 50,
"messages": [
{ "role": "user",
"content": "Hello, please respond with exactly: Hello from alias arch.summarize.v1 via Anthropic!"
}
]
}' | jq .
```
### When Alias Exists
1. Client sends request with alias (e.g., `"model": "arch.summarize.v1"`)
2. Brightstaff resolves alias to actual model (`arch.summarize.v1``4o-mini`)
3. Request is forwarded to LLM Gateway with resolved model name
4. Response is returned to client
### Anthropic client with alias `arch.v1`
```sh
curl -sS -X POST "http://localhost:12000/v1/messages" \
-H "x-api-key: test-key" \
-H "anthropic-version: 2023-06-01" \
-H "Content-Type: application/json" \
-d '{
"model": "arch.summarize.v1",
"max_tokens": 50,
"messages": [
{ "role": "user",
"content": "Hello, please respond with exactly: Hello from alias arch.summarize.v1 via Anthropic!"
}
]
}' | jq .
```
### When Alias Doesn't Exist
1. Client sends request with unknown alias (e.g., `"model": "unknown.alias"`)
2. Brightstaff treats it as a direct model name
3. Request may succeed (if model exists) or fail (if model doesn't exist)
## Notes
- The `.env` file will be created automatically if missing, with your API keys.
- If `ANTHROPIC_API_KEY` is not set, Anthropic requests will not work.
- You can add more aliases in `arch_config_with_aliases.yaml`.
- All curl examples use `jq .` for pretty-printing JSON responses.
## Troubleshooting
### Test Failures
1. **Connection errors**: Ensure archgw services are running on expected ports
2. **Authentication errors**: Check API keys are set correctly
3. **Model not found**: Verify the target models in aliases exist in your config
4. **Alias not resolved**: Check alias is defined correctly in arch_config.yaml
### Debugging
1. **Check brightstaff logs** for alias resolution messages:
```
Model alias resolved: 'arch.summarize.v1' -> '4o-mini'
```
2. **Verify configuration** is loaded:
```bash
# Check if config file is being read
grep -i "model_aliases" /path/to/arch_config_with_aliases.yaml
```
3. **Test with direct model names** first to ensure basic functionality works
## Adding New Tests
To add a new alias test:
1. Define the alias in `arch_config_with_aliases.yaml`
2. Add a test function in `model_alias.py`:
```python
def test_my_new_alias():
logger.info("Testing my new alias")
# ... test implementation
```
3. Add the test to the appropriate test runner function
## Log Output
The test suite provides detailed logging:
- Test start/completion status
- API request/response details
- Alias resolution confirmations
- Error details for failed tests
- Summary statistics
Example output:
```
============================================================
RUNNING: OpenAI client with arch.summarize.v1 alias
============================================================
2024-09-14 10:30:15 - Testing OpenAI client with alias 'arch.summarize.v1' -> '4o-mini'
2024-09-14 10:30:16 - Response from arch.summarize.v1 alias: Hello from alias arch.summarize.v1!
✅ PASSED: OpenAI client with arch.summarize.v1 alias
```
- Ensure your API keys are set in your environment before running the demo.
- If you see errors about missing keys, set them and re-run the script.
- For more details, see the main Arch documentation.

View file

@ -1,628 +0,0 @@
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name = "tqdm"
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description = "Fast, Extensible Progress Meter"
optional = false
python-versions = ">=3.7"
groups = ["main"]
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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"]
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name = "typing-extensions"
version = "4.15.0"
description = "Backported and Experimental Type Hints for Python 3.9+"
optional = false
python-versions = ">=3.9"
groups = ["main", "dev"]
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name = "typing-inspection"
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[package.dependencies]
typing-extensions = ">=4.12.0"
[metadata]
lock-version = "2.1"
python-versions = "^3.10"
content-hash = "20c40d10b7ea905e2a2747c9bfc035ef51b2a63af43bd4f9e0d5364ed8dbc794"

View file

@ -1,20 +0,0 @@
[tool.poetry]
name = "model_alias_tests"
version = "0.0.1"
description = "Model alias tests for archgw"
authors = ["Katanemo Labs, Inc <info@katanemo.com>"]
license = "Apache 2.0"
readme = "README.md"
package-mode = false
[tool.poetry.dependencies]
python = "^3.10"
anthropic = "^0.66.0"
openai = "^1.0.0"
[tool.poetry.dev-dependencies]
pytest = "^8.3.3"
[tool.pytest.ini_options]
python_files = ["test*.py", "model_alias.py"]
addopts = ["-v", "-s"]

View file

@ -0,0 +1,60 @@
#!/bin/bash
set -e
# Function to start the demo
start_demo() {
# Step 1: Check if .env file exists
if [ -f ".env" ]; then
echo ".env file already exists. Skipping creation."
else
# Step 2: Create `.env` file and set API keys
if [ -z "$OPENAI_API_KEY" ]; then
echo "Error: OPENAI_API_KEY environment variable is not set for the demo."
exit 1
fi
if [ -z "$ANTHROPIC_API_KEY" ]; then
echo "Warning: ANTHROPIC_API_KEY environment variable is not set. Anthropic features may not work."
fi
echo "Creating .env file..."
echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env
if [ -n "$ANTHROPIC_API_KEY" ]; then
echo "ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY" >> .env
fi
echo ".env file created with API keys."
fi
# Step 3: Start Arch
echo "Starting Arch with arch_config_with_aliases.yaml..."
archgw up arch_config_with_aliases.yaml
echo "\n\nArch started successfully."
echo "Please run the following CURL command to test model alias routing. Additional instructions are in the README.md file. \n"
echo "curl -sS -X POST \"http://localhost:12000/v1/chat/completions\" \
-H \"Authorization: Bearer test-key\" \
-H \"Content-Type: application/json\" \
-d '{
\"model\": \"arch.summarize.v1\",
\"max_tokens\": 50,
\"messages\": [
{ \"role\": \"user\",
\"content\": \"Hello, please respond with exactly: Hello from alias arch.summarize.v1!\"
}
]
}' | jq ."
}
# Function to stop the demo
stop_demo() {
# Step 2: Stop Arch
echo "Stopping Arch..."
archgw down
}
# Main script logic
if [ "$1" == "down" ]; then
stop_demo
else
# Default action is to bring the demo up
start_demo
fi

View file

@ -1,78 +0,0 @@
#!/bin/bash
# Model Alias Test Runner
# Usage: ./run_tests.sh [alias|direct|legacy|all]
set -e
# Load environment variables from .env if present
if [ -f .env ]; then
export $(grep -v '^#' .env | xargs)
fi
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
echo -e "${BLUE}Model Alias Test Runner${NC}"
echo "=================================="
# Check if archgw services are running
echo -e "${YELLOW}Checking if archgw services are running...${NC}"
if ! curl -s http://localhost:12000/health > /dev/null 2>&1; then
echo -e "${RED}❌ LLM Gateway not running on port 12000${NC}"
echo "Please start archgw services first:"
echo " export ARCH_CONFIG_PATH_RENDERED=$(pwd)/arch_config_with_aliases.yaml"
echo " # Start your archgw services"
exit 1
fi
echo -e "${GREEN}✅ Services appear to be running${NC}"
# Check environment variables
echo -e "${YELLOW}Checking environment variables...${NC}"
if [ -z "$OPENAI_API_KEY" ]; then
echo -e "${RED}❌ OPENAI_API_KEY not set${NC}"
exit 1
fi
if [ -z "$ANTHROPIC_API_KEY" ]; then
echo -e "${YELLOW}⚠️ ANTHROPIC_API_KEY not set (some tests may fail)${NC}"
fi
echo -e "${GREEN}✅ Environment variables configured${NC}"
# Install dependencies if needed
if [ ! -d ".venv" ] && [ ! -f "poetry.lock" ]; then
echo -e "${YELLOW}Installing dependencies...${NC}"
poetry install
fi
# Set default test type
TEST_TYPE=${1:-alias}
echo -e "${BLUE}Running ${TEST_TYPE} tests...${NC}"
echo ""
# Run the tests
python model_alias.py "$TEST_TYPE"
echo ""
echo -e "${GREEN}Test run completed!${NC}"
# Show useful commands
echo ""
echo -e "${BLUE}Useful commands:${NC}"
echo " ./run_tests.sh alias - Run alias tests only"
echo " ./run_tests.sh direct - Run direct model tests"
echo " ./run_tests.sh legacy - Run legacy tests"
echo " ./run_tests.sh all - Run all tests"
echo ""
echo " poetry run pytest -v -s model_alias.py::test_function_name - Run specific test"
echo " poetry run pytest -v -s -k 'alias' - Run tests matching pattern"

View file

@ -60,14 +60,23 @@ archgw up demos/samples_python/weather_forecast/arch_config.yaml
kill $model_server_tail_pid
cd -
log running e2e tests
log =================
poetry run pytest
log running e2e tests for prompt gateway
log ====================================
poetry run pytest test_prompt_gateway.py
log shutting down the arch gateway service
log ======================================
log shutting down the arch gateway service for prompt_gateway demo
log ===============================================================
archgw down
log startup arch gateway with model alias routing demo
cd ../../
archgw up demos/use_cases/model_alias_routing/arch_config_with_aliases.yaml
cd -
log running e2e tests for model alias routing
log ========================================
poetry run pytest test_model_alias_routing.py
log shutting down the weather_forecast demo
log =======================================
cd ../../demos/samples_python/weather_forecast

View file

@ -267,127 +267,3 @@ def test_direct_model_4o_mini_anthropic():
response_content = "".join(b.text for b in message.content if b.type == "text")
logger.info(f"Response from direct 4o-mini via Anthropic: {response_content}")
assert response_content == "Hello from direct 4o-mini via Anthropic!"
# =============================================================================
# TEST RUNNER AND CLI
# =============================================================================
def run_test(test_func, test_name):
"""Run a single test function with error handling and logging"""
try:
logger.info(f"=" * 60)
logger.info(f"RUNNING: {test_name}")
logger.info(f"=" * 60)
test_func()
logger.info(f"✅ PASSED: {test_name}")
return True
except Exception as e:
logger.error(f"❌ FAILED: {test_name}")
logger.error(f"Error: {e}")
return False
def run_all_alias_tests():
"""Run all model alias tests"""
alias_tests = [
(
test_openai_client_with_alias_arch_summarize_v1,
"OpenAI client with arch.summarize.v1 alias",
),
(test_openai_client_with_alias_arch_v1, "OpenAI client with arch.v1 alias"),
(
test_anthropic_client_with_alias_arch_summarize_v1,
"Anthropic client with arch.summarize.v1 alias",
),
(
test_anthropic_client_with_alias_arch_v1,
"Anthropic client with arch.v1 alias",
),
(test_openai_client_with_alias_streaming, "OpenAI client with alias streaming"),
(
test_anthropic_client_with_alias_streaming,
"Anthropic client with alias streaming",
),
(test_nonexistent_alias, "Non-existent alias handling"),
]
results = []
for test_func, test_name in alias_tests:
success = run_test(test_func, test_name)
results.append((test_name, success))
return results
def run_all_direct_model_tests():
"""Run all direct model tests"""
direct_tests = [
(test_direct_model_4o_mini_openai, "OpenAI client with direct 4o-mini"),
(test_direct_model_4o_mini_anthropic, "Anthropic client with direct 4o-mini"),
]
results = []
for test_func, test_name in direct_tests:
success = run_test(test_func, test_name)
results.append((test_name, success))
return results
def print_summary(results, category_name):
"""Print test results summary"""
passed = sum(1 for _, success in results if success)
total = len(results)
logger.info(f"\n{'=' * 60}")
logger.info(f"{category_name.upper()} SUMMARY: {passed}/{total} tests passed")
logger.info(f"{'=' * 60}")
for test_name, success in results:
status = "✅ PASSED" if success else "❌ FAILED"
logger.info(f"{status}: {test_name}")
if __name__ == "__main__":
import sys
if len(sys.argv) > 1:
test_type = sys.argv[1].lower()
if test_type == "alias":
logger.info("Running MODEL ALIAS tests only...")
results = run_all_alias_tests()
print_summary(results, "Model Alias Tests")
elif test_type == "direct":
logger.info("Running DIRECT MODEL tests only...")
results = run_all_direct_model_tests()
print_summary(results, "Direct Model Tests")
elif test_type == "all":
logger.info("Running ALL tests...")
alias_results = run_all_alias_tests()
direct_results = run_all_direct_model_tests()
print_summary(alias_results, "Model Alias Tests")
print_summary(direct_results, "Direct Model Tests")
total_passed = sum(success for _, success in alias_results + direct_results)
total_tests = len(alias_results + direct_results)
logger.info(
f"\n🎯 OVERALL SUMMARY: {total_passed}/{total_tests} tests passed"
)
else:
print("Usage: python model_alias.py [alias|direct|legacy|all]")
print(" alias - Run model alias tests only")
print(" direct - Run direct model tests only")
print(" legacy - Run legacy tests only")
print(" all - Run all tests")
sys.exit(1)
else:
logger.info("Running MODEL ALIAS tests by default...")
results = run_all_alias_tests()
print_summary(results, "Model Alias Tests")