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Add Gradio client API test script

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  1. test_api_gradio_client.py +199 -0
test_api_gradio_client.py ADDED
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+ #!/usr/bin/env python3
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+ """
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+ Test script for ZeroGPU LLM Inference API using Gradio Client
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+ Usage: python test_api_gradio_client.py
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+ """
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+
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+ import sys
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+
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+ try:
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+ from gradio_client import Client
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+ except ImportError:
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+ print("❌ gradio_client not installed!")
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+ print(" Install it with: pip install gradio_client")
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+ sys.exit(1)
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+
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+ API_URL = "https://Alovestocode-ZeroGPU-LLM-Inference.hf.space"
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+
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+
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+ def test_api():
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+ """Test the API endpoint using Gradio Client"""
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+ print("=" * 60)
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+ print("Testing ZeroGPU LLM Inference API (Gradio Client)")
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+ print("=" * 60)
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+
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+ # Connect to the space
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+ print("\n1. Connecting to space...")
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+ try:
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+ client = Client(API_URL, verbose=False)
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+ print(f" βœ… Connected to {API_URL}")
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+ except Exception as e:
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+ print(f" ❌ Failed to connect: {e}")
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+ return False
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+
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+ # List available endpoints
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+ print(f"\n2. Available endpoints: {len(client.endpoints) if hasattr(client.endpoints, '__len__') else 'N/A'}")
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+ try:
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+ if hasattr(client, 'endpoints') and client.endpoints:
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+ if isinstance(client.endpoints, list):
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+ for i, endpoint in enumerate(client.endpoints):
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+ if isinstance(endpoint, dict):
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+ api_name = endpoint.get('api_name', f'endpoint_{i}')
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+ fn_name = endpoint.get('fn_name', 'unknown')
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+ print(f" {i+1}. API Name: {api_name}")
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+ print(f" Function: {fn_name}")
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+ else:
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+ print(f" {i+1}. Endpoint index: {endpoint}")
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+ except Exception as e:
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+ print(f" (Could not list endpoints: {e})")
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+
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+ # Test the generate_router_plan_streaming endpoint
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+ print("\n" + "=" * 60)
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+ print("3. Testing generate_router_plan_streaming endpoint...")
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+ print("=" * 60)
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+
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+ test_params = {
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+ 'user_task': 'Solve a quadratic equation using Python',
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+ 'context': '',
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+ 'acceptance': '- Provide step-by-step solution\n- Include code example',
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+ 'extra_guidance': '',
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+ 'difficulty': 'intermediate',
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+ 'tags': 'math, python',
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+ 'model_choice': 'Router-Qwen3-32B-8bit',
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+ 'max_new_tokens': 512, # Smaller for quick test
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+ 'temperature': 0.2,
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+ 'top_p': 0.9
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+ }
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+
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+ print("\nTest Parameters:")
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+ for key, value in test_params.items():
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+ print(f" {key}: {value}")
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+
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+ try:
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+ print("\n Sending request... (this may take a moment)")
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+ result = client.predict(
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+ test_params['user_task'],
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+ test_params['context'],
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+ test_params['acceptance'],
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+ test_params['extra_guidance'],
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+ test_params['difficulty'],
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+ test_params['tags'],
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+ test_params['model_choice'],
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+ test_params['max_new_tokens'],
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+ test_params['temperature'],
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+ test_params['top_p'],
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+ api_name='//generate_router_plan_streaming'
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+ )
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+
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+ print("\n βœ… API call successful!")
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+ print(f"\n Result type: {type(result)}")
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+
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+ if isinstance(result, (list, tuple)):
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+ print(f" Number of outputs: {len(result)}")
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+
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+ if len(result) >= 1:
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+ raw_output = result[0]
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+ print(f"\n Output 1 (Raw Model Output):")
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+ print(f" {'-' * 56}")
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+ if isinstance(raw_output, str):
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+ preview = raw_output[:500] if len(raw_output) > 500 else raw_output
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+ print(f" {preview}")
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+ if len(raw_output) > 500:
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+ print(f" ... (truncated, total length: {len(raw_output)} chars)")
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+ else:
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+ print(f" {raw_output}")
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+
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+ if len(result) >= 2:
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+ plan_json = result[1]
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+ print(f"\n Output 2 (Parsed Router Plan):")
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+ print(f" {'-' * 56}")
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+ if isinstance(plan_json, dict):
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+ print(f" Keys: {list(plan_json.keys())}")
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+ if plan_json:
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+ import json
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+ print(f" Content:\n{json.dumps(plan_json, indent=2)[:500]}")
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+ else:
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+ print(" (empty)")
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+ else:
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+ print(f" {plan_json}")
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+
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+ if len(result) >= 3:
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+ validation_msg = result[2]
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+ print(f"\n Output 3 (Validation Message):")
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+ print(f" {'-' * 56}")
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+ print(f" {validation_msg}")
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+
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+ if len(result) >= 4:
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+ prompt_view = result[3]
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+ print(f"\n Output 4 (Full Prompt):")
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+ print(f" {'-' * 56}")
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+ if isinstance(prompt_view, str):
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+ preview = prompt_view[:300] if len(prompt_view) > 300 else prompt_view
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+ print(f" {preview}")
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+ if len(prompt_view) > 300:
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+ print(f" ... (truncated)")
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+ else:
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+ print(f" {prompt_view}")
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+ else:
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+ print(f" Result: {result}")
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+
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+ return True
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+
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+ except Exception as e:
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+ error_msg = str(e)
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+ if "GPU quota" in error_msg or "exceeded" in error_msg.lower():
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+ print(f"\n ⚠️ API call reached GPU quota limit (this means the API is working!)")
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+ print(f" Error: {error_msg}")
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+ print(f" βœ… API endpoint is correctly configured and accessible")
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+ return True # Consider this a success since API is working
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+ else:
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+ print(f"\n ❌ API call failed: {e}")
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+ import traceback
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+ traceback.print_exc()
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+ return False
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+
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+
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+ def test_clear_endpoint():
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+ """Test the clear_outputs endpoint"""
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+ print("\n" + "=" * 60)
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+ print("4. Testing clear_outputs endpoint...")
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+ print("=" * 60)
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+
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+ try:
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+ client = Client(API_URL, verbose=False)
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+ result = client.predict(api_name='//clear_outputs')
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+
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+ print(" βœ… Clear endpoint working!")
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+ print(f" Result: {result}")
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+ return True
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+ except Exception as e:
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+ print(f" ⚠️ Clear endpoint test failed: {e}")
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+ return False
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+
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+
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+ if __name__ == "__main__":
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+ print("\n")
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+ success = test_api()
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+
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+ # Test clear endpoint
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+ test_clear_endpoint()
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+
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+ print("\n" + "=" * 60)
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+ if success:
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+ print("βœ… API test completed successfully!")
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+ print("\nThe API is working correctly. You can use it in your code with:")
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+ print("\n from gradio_client import Client")
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+ print(f" client = Client('{API_URL}')")
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+ print(" result = client.predict(")
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+ print(" 'user_task', '', 'acceptance', '', 'intermediate', 'tags',")
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+ print(" 'Router-Qwen3-32B-8bit', 512, 0.2, 0.9,")
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+ print(" api_name='//generate_router_plan_streaming'")
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+ print(" )")
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+ else:
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+ print("❌ API test failed.")
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+ print(" Check the error messages above for details.")
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+ print("=" * 60)
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+ print()
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+
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+ sys.exit(0 if success else 1)
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+