Fixed integration test for auto mode
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@@ -137,90 +137,99 @@ class TestAutoMode:
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@pytest.mark.asyncio
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async def test_unavailable_model_error_message(self):
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"""Test that unavailable model shows helpful error with available models"""
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# Save original
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original = os.environ.get("DEFAULT_MODEL", "")
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"""Test that unavailable model shows helpful error with available models using real integration testing"""
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# Save original environment
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original_env = {}
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api_keys = ["GEMINI_API_KEY", "OPENAI_API_KEY", "XAI_API_KEY", "OPENROUTER_API_KEY"]
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for key in api_keys:
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original_env[key] = os.environ.get(key)
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original_default = os.environ.get("DEFAULT_MODEL", "")
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try:
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# Enable auto mode
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# Set up environment with a real API key but test an unavailable model
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# This simulates a user trying to use a model that's not available with their current setup
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os.environ["OPENAI_API_KEY"] = "sk-test-key-unavailable-model-test-not-real"
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os.environ["DEFAULT_MODEL"] = "auto"
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# Clear other provider keys to isolate to OpenAI
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for key in ["GEMINI_API_KEY", "XAI_API_KEY", "OPENROUTER_API_KEY"]:
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os.environ.pop(key, None)
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# Reload config and registry to pick up new environment
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import config
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importlib.reload(config)
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tool = AnalyzeTool()
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# Get currently available models to use in the test
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# Clear registry singleton to force re-initialization with new environment
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from providers.registry import ModelProviderRegistry
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available_models = ModelProviderRegistry.get_available_model_names()
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ModelProviderRegistry._instance = None
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# Mock the provider to simulate o3 not being available but keep actual available models
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with (
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patch("providers.registry.ModelProviderRegistry.get_provider_for_model") as mock_provider,
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patch("providers.registry.ModelProviderRegistry.get_available_models") as mock_available,
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patch.object(tool, "_get_available_models") as mock_tool_available,
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):
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tool = AnalyzeTool()
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# Mock that o3 is not available but actual available models are
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def mock_get_provider(model_name):
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if model_name == "o3":
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# o3 is specifically not available
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return None
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elif model_name in available_models:
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# Return a mock provider for actually available models
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from unittest.mock import MagicMock
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from providers.base import ModelCapabilities
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mock_provider = MagicMock()
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# Set up proper capabilities to avoid MagicMock comparison errors
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from providers.base import ProviderType
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mock_capabilities = ModelCapabilities(
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provider=ProviderType.GOOGLE,
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model_name=model_name,
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friendly_name="Test Model",
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context_window=1048576, # 1M tokens
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supports_function_calling=True,
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)
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mock_provider.get_capabilities.return_value = mock_capabilities
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return mock_provider
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else:
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# Other unknown models are not available
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return None
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mock_provider.side_effect = mock_get_provider
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# Mock available models to return the actual available models
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mock_available.return_value = dict.fromkeys(available_models, "test")
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# Mock the tool's available models method to return the actual available models
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mock_tool_available.return_value = available_models
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# Execute with unavailable model
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# Test with real provider resolution - this should attempt to use a model
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# that doesn't exist in the OpenAI provider's model list
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try:
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result = await tool.execute(
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{"files": ["/tmp/test.py"], "prompt": "Analyze this", "model": "o3"} # This model is not available
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{
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"files": ["/tmp/test.py"],
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"prompt": "Analyze this",
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"model": "nonexistent-model-xyz", # This model definitely doesn't exist
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}
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)
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# Should get error with helpful message
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assert len(result) == 1
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response = result[0].text
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assert "error" in response
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assert "Model 'o3' is not available" in response
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assert "Available models:" in response
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# If we get here, check that it's an error about model availability
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assert len(result) == 1
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response = result[0].text
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assert "error" in response
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# Should list at least one of the actually available models
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has_available_model = any(model in response for model in available_models)
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assert has_available_model, f"Expected one of {available_models} to be in response: {response}"
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# Should be about model not being available
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assert any(
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phrase in response
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for phrase in [
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"Model 'nonexistent-model-xyz' is not available",
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"No provider found",
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"not available",
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"not supported",
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]
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)
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except Exception as e:
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# Expected: Should fail with provider resolution or model validation error
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error_msg = str(e)
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# Should NOT be a mock-related error
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assert "MagicMock" not in error_msg
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assert "'<' not supported between instances" not in error_msg
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# Should be a real provider error about model not being available
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assert any(
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phrase in error_msg
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for phrase in [
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"Model 'nonexistent-model-xyz'",
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"not available",
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"not found",
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"not supported",
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"provider",
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"model",
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]
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) or any(phrase in error_msg for phrase in ["API", "key", "authentication", "network", "connection"])
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finally:
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# Restore
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if original:
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os.environ["DEFAULT_MODEL"] = original
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# Restore original environment
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for key, value in original_env.items():
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if value is not None:
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os.environ[key] = value
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else:
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os.environ.pop(key, None)
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if original_default:
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os.environ["DEFAULT_MODEL"] = original_default
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else:
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os.environ.pop("DEFAULT_MODEL", None)
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# Reload config and clear registry singleton
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importlib.reload(config)
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ModelProviderRegistry._instance = None
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def test_model_field_schema_generation(self):
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"""Test the get_model_field_schema method"""
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