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kelsey-wong
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Dec 30, 2025
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| # Create a mock OpenAI client with embeddings.create method | ||
| mock_openai_client = MagicMock() | ||
| embedding_calls: list[tuple[str, str]] = [] | ||
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| async def mock_embeddings_create(input: str, model: str, timeout: float) -> MagicMock: | ||
| embedding_calls.append((input, model)) | ||
| response = MagicMock() | ||
| response.data = [MagicMock(embedding=fake_embedding(input, 3))] | ||
| return response | ||
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| mock_openai_client.embeddings.create = mock_embeddings_create | ||
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| @asynccontextmanager | ||
| async def mock_get_openai_client(): | ||
| yield mock_openai_client |
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can this functionality be refactored into a patch function similar to the patch_acompletion in litellm_patches.py so that it can be easily reused across tests?
kelsey-wong
reviewed
Dec 30, 2025
| "The quick brown fox jumps over the lazy dog.", | ||
| "The swift black cat hops around the sleepy frog.", | ||
| 1 / 8, | ||
| ), # is there a reason why we don't ignore capitalization? |
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I think I asked about this before, will defer to @huiwengoh, but this case sensitivity logic is ported over from SaaS. maybe because capitalization can indicated differences e.g. proper nouns? but I also think that this similarity method is a worst-case scenario fallback so it's not meant to be very sophisticated. other methods like LLM as a judge are used primarily.
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Increases test coverage to 70%