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feat: Add new embedding model "models/gemini-embedding-001" to GeminiInferenceAdapter
Introduced a new embedding model with a dimension of 3072 and a context length of 2048 to the GeminiInferenceAdapter class.
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@ -15,6 +15,7 @@ class GeminiInferenceAdapter(OpenAIMixin):
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provider_data_api_key_field: str = "gemini_api_key"
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embedding_model_metadata: dict[str, dict[str, int]] = {
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"models/text-embedding-004": {"embedding_dimension": 768, "context_length": 2048},
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"models/gemini-embedding-001": {"embedding_dimension": 3072, "context_length": 2048},
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}
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def get_base_url(self):
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