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Fix test_embedding_header_forwarding_with_model_group for parallel test execution
- Reload litellm_pre_call_utils module inside test to get fresh litellm reference
- Use string-based patch("litellm.model_group_settings") instead of patch.object
- These changes ensure the patch targets the correct module after conftest reloads litellm
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1 changed files with 12 additions and 3 deletions
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@ -1347,9 +1347,18 @@ async def test_embedding_header_forwarding_with_model_group():
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This test verifies the fix for embedding endpoints not forwarding headers
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similar to how chat completion endpoints do.
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"""
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# Import the module that add_litellm_data_to_request uses to access litellm
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import importlib
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import litellm.proxy.litellm_pre_call_utils as pre_call_utils_module
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# Reload the module to ensure it has a fresh reference to litellm
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# This is necessary because conftest.py reloads litellm at module scope,
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# which can cause the module's litellm reference to become stale
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importlib.reload(pre_call_utils_module)
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# Re-import the function after reload to get the fresh version
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from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request
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# Setup mock request for embeddings
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request_mock = MagicMock(spec=Request)
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request_mock.url.path = "/v1/embeddings"
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@ -1380,10 +1389,10 @@ async def test_embedding_header_forwarding_with_model_group():
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)
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# Mock model_group_settings to enable header forwarding for the model
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# Use patch to ensure we modify the litellm reference that pre_call_utils actually uses
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# Use string-based patch to ensure we patch the current sys.modules['litellm']
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# This avoids issues with module reloading during parallel test execution
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mock_settings = MagicMock(forward_client_headers_to_llm_api=["local-openai/*"])
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with patch.object(pre_call_utils_module.litellm, "model_group_settings", mock_settings):
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with patch("litellm.model_group_settings", mock_settings):
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# Call add_litellm_data_to_request which includes header forwarding logic
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updated_data = await add_litellm_data_to_request(
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data=data,
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