Remove unused environment check and verification scripts to clean up the codebase

check_env.py

@@ -1,21 +0,0 @@
-import os
-from dotenv import load_dotenv
-
-# Try to load .env from current directory
-env_path = os.path.join(os.getcwd(), '.env')
-print(f"Checking for .env at: {env_path}")
-print(f"File exists: {os.path.exists(env_path)}")
-
-load_dotenv(env_path)
-
-# Print keys (masking values)
-keys = list(os.environ.keys())
-relevant_keys = [k for k in keys if any(x in k for x in ["API_KEY", "TOKEN", "GOOGLE", "GROQ", "NVIDIA", "VERCEL", "OPENROUTER"])]
-print(f"Relevant keys found: {relevant_keys}")
-
-# Specifically check the ones we need
-needed = ["NVIDIA_API_KEY", "VERCEL_API_KEY", "OPENROUTER_API_KEY", "GOOGLE_API_KEY", "GROQ_API_KEY"]
-for k in needed:
-    val = os.getenv(k)
-    status = "PRESENT (length={})".format(len(val)) if val else "MISSING"
-    print(f"{k}: {status}")

check_env_v2.py

@@ -1,25 +0,0 @@
-import os
-from dotenv import load_dotenv
-
-# Try to load .env from current directory with override=True
-env_path = os.path.join(os.getcwd(), '.env')
-print(f"Checking for .env at: {env_path}")
-print(f"File exists: {os.path.exists(env_path)}")
-
-load_dotenv(env_path, override=True)
-
-# Print keys (case-insensitive check)
-keys = list(os.environ.keys())
-relevant_keys = [k for k in keys if any(x in k.upper() for x in ["API_KEY", "TOKEN", "GOOGLE", "GROQ", "NVIDIA", "VERCEL", "OPENROUTER"])]
-print(f"Relevant keys found: {relevant_keys}")
-
-# Check specifically
-needed = ["NVIDIA_API_KEY", "VERCEL_API_KEY", "OPENROUTER_API_KEY", "GOOGLE_API_KEY", "GROQ_API_KEY"]
-for k in needed:
-    # Try case-insensitive lookup
-    found_key = next((key for key in keys if key.upper() == k), None)
-    if found_key:
-        val = os.getenv(found_key)
-        print(f"{found_key}: PRESENT (length={len(val)})")
-    else:
-        print(f"{k}: MISSING")

check_questions.py

@@ -1,9 +0,0 @@
-import requests
-resp = requests.get('https://agents-course-unit4-scoring.hf.space/questions')
-questions = resp.json()
-print(f"Total questions: {len(questions)}")
-for i, q in enumerate(questions):
-    print(f"{i+1}. {q.get('question', 'N/A')[:120]}...")
-    print(f"   File: {q.get('file_name', 'None')}")
-    print(f"   Task ID: {q.get('task_id', 'N/A')[:20]}...")
-    print()

verify_fallback.py

@@ -1,68 +0,0 @@
-import os
-import sys
-from unittest.mock import MagicMock, patch
-
-# Mocking modules that might not be available or needed for this test
-sys.modules['cv2'] = MagicMock()
-sys.modules['whisper'] = MagicMock()
-
-# Set dummy env vars BEFORE importing agent
-os.environ["OPENROUTER_API_KEY"] = "dummy"
-os.environ["GOOGLE_API_KEY"] = "dummy"
-os.environ["GROQ_API_KEY"] = "dummy"
-os.environ["NVIDIA_API_KEY"] = "dummy"
-os.environ["VERCEL_API_KEY"] = "dummy"
-
-# Add the current directory to path so we can import agent
-sys.path.append(os.getcwd())
-
-import agent
-from langchain_core.messages import HumanMessage
-
-def test_fallback_logic():
-    print("Testing fallback logic...")
-    
-    # Mock the invoke method for each tier's model
-    # Tiers: 0:OpenRouter, 1:Gemini, 2:Groq, 3:NVIDIA, 4:Vercel
-    
-    with patch('agent.openrouter_model.invoke') as mock_openrouter, \
-         patch('agent.gemini_model.invoke') as mock_gemini, \
-         patch('agent.model.invoke') as mock_groq, \
-         patch('agent.nvidia_model.invoke') as mock_nvidia, \
-         patch('agent.vercel_model.invoke') as mock_vercel:
-        
-        # Simulate failure for all tiers up to NVIDIA
-        mock_openrouter.side_effect = Exception("Rate limit (429)")
-        mock_gemini.side_effect = Exception("Rate limit (429)")
-        mock_groq.side_effect = Exception("Rate limit (429)")
-        
-        # NVIDIA should succeed
-        mock_nvidia.return_value = MagicMock(content="NVIDIA response")
-        
-        msgs = [HumanMessage(content="Hello")]
-        response, tier_idx = agent.smart_invoke(msgs, use_tools=False)
-        
-        print(f"Response from tier {tier_idx}: {response.content}")
-        assert tier_idx == 3
-        assert response.content == "NVIDIA response"
-        print("Fallback to NVIDIA successful!")
-
-        # Now simulate failure up to Vercel
-        mock_nvidia.side_effect = Exception("Rate limit (429)")
-        mock_vercel.return_value = MagicMock(content="Vercel response")
-        
-        response, tier_idx = agent.smart_invoke(msgs, use_tools=False)
-        print(f"Response from tier {tier_idx}: {response.content}")
-        assert tier_idx == 4
-        assert response.content == "Vercel response"
-        print("Fallback to Vercel successful!")
-
-if __name__ == "__main__":
-    try:
-        test_fallback_logic()
-        print("All fallback tests passed!")
-    except Exception as e:
-        print(f"Test failed: {e}")
-        import traceback
-        traceback.print_exc()
-        sys.exit(1)

verify_fixes.py

@@ -1,72 +0,0 @@
-import os
-import sys
-from unittest.mock import MagicMock, patch
-
-# Mocking modules
-sys.modules['cv2'] = MagicMock()
-sys.modules['whisper'] = MagicMock()
-
-# Set dummy env vars
-os.environ["OPENROUTER_API_KEY"] = "dummy"
-os.environ["GOOGLE_API_KEY"] = "dummy"
-os.environ["GROQ_API_KEY"] = "dummy"
-os.environ["NVIDIA_API_KEY"] = "dummy"
-os.environ["VERCEL_API_KEY"] = "dummy"
-
-sys.path.append(os.getcwd())
-
-import agent
-from langchain_core.messages import HumanMessage
-
-def test_gemini_alternatives_on_rate_limit():
-    print("Testing Gemini alternatives on rate limit...")
-    
-    # We need to mock ChatGoogleGenerativeAI to simulate rate limit on one instance but success on another
-    # Since they are created inside smart_invoke, we patch the class constructor or just the instances if we can
-    
-    with patch('agent.openrouter_model.invoke') as mock_openrouter, \
-         patch('agent.ChatGoogleGenerativeAI') as mock_gemini_class:
-        
-        # OpenRouter fails
-        mock_openrouter.side_effect = Exception("Rate limit (429)")
-        
-        # First Gemini call (primary) fails with rate limit
-        # Second Gemini call (alternative) succeeds
-        mock_primary = MagicMock()
-        mock_primary.invoke.side_effect = Exception("Rate limit (429)")
-        mock_primary.model = "gemini-2.5-flash"
-        
-        mock_alt = MagicMock()
-        mock_alt.invoke.return_value = MagicMock(content="Gemini alternative response")
-        mock_alt.model = "gemini-2.5-flash-lite"
-        
-        # Control the sequence of ChatGoogleGenerativeAI creation
-        # agent.py creates gemini_model at top level, then potentially more in smart_invoke
-        mock_gemini_class.side_effect = [mock_alt] # The one created in the loop
-        
-        # We also need to mock the already created gemini_model
-        with patch('agent.gemini_model', mock_primary):
-            msgs = [HumanMessage(content="Hello")]
-            response, tier_idx = agent.smart_invoke(msgs, use_tools=False)
-            
-            print(f"Response from tier {tier_idx}: {response.content}")
-            # Tier 1 is Gemini
-            assert tier_idx == 1
-            assert response.content == "Gemini alternative response"
-            print("Gemini alternative on rate limit successful!")
-
-def test_nvidia_name():
-    print("Checking NVIDIA model name...")
-    assert agent.nvidia_model.model_name == "meta/llama-3.1-405b-instruct"
-    print("NVIDIA model name is correct!")
-
-if __name__ == "__main__":
-    try:
-        test_gemini_alternatives_on_rate_limit()
-        test_nvidia_name()
-        print("All fix tests passed!")
-    except Exception as e:
-        print(f"Test failed: {e}")
-        import traceback
-        traceback.print_exc()
-        sys.exit(1)

verify_simple.py

@@ -1,36 +0,0 @@
-import os
-import sys
-from unittest.mock import MagicMock
-
-# Mocking modules
-sys.modules['cv2'] = MagicMock()
-sys.modules['whisper'] = MagicMock()
-
-# Set dummy env vars
-os.environ["OPENROUTER_API_KEY"] = "dummy"
-os.environ["GOOGLE_API_KEY"] = "dummy"
-os.environ["GROQ_API_KEY"] = "dummy"
-os.environ["NVIDIA_API_KEY"] = "dummy"
-os.environ["VERCEL_API_KEY"] = "dummy"
-
-sys.path.append(os.getcwd())
-
-import agent
-
-def verify_tiers():
-    from langchain_core.messages import HumanMessage
-    
-    # We can't easily call smart_invoke without real models unless we mock heavily.
-    # Let's just check the tiers list structure in a dummy call.
-    # Actually, we can't easily access 'tiers' inside smart_invoke as it's a local variable.
-    
-    # Let's check the global model objects.
-    print(f"NVIDIA model initialized: {agent.nvidia_model is not None}")
-    print(f"Vercel model initialized: {agent.vercel_model is not None}")
-    
-    # Check if they have invoke (they should)
-    print(f"NVIDIA model hasattr invoke: {hasattr(agent.nvidia_model, 'invoke')}")
-    print(f"Vercel model hasattr invoke: {hasattr(agent.vercel_model, 'invoke')}")
-
-if __name__ == "__main__":
-    verify_tiers()