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Merge a217303766 into 22b36cbcf6

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François Bossière 2026-09-27 16:17:33 -04:00 • committed by GitHub
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7
tests/unit/llms/vertex_ai/gemini_embeddings/test_batch_embed_content_transformation.py
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@ -308,10 +308,17 @@ class TestProcessResponse:
)
@pytest.mark.usefixtures("local_model_cost_map")
class TestProcessEmbedContentResponseUsage:
"""Gemini Embedding 2 embedContent usageMetadata must drive spend.
Regression for multimodal calls recording prompt_tokens=0 / spend=$0.
The spend assertions read the ``gemini-embedding-2`` rates, so they must be
pinned to the bundled in-repo cost map: the default network-fetched ``main``
copy is a different branch and already re-prices this model per modality
token (no ``input_cost_per_image`` / ``input_cost_per_*_per_second``), which
makes these cases fail for reasons unrelated to the transformation.
"""
MODEL = "gemini-embedding-2"