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PR adds Flash-Lite 2.0 and 2.5 models to the Gemini inference provider Closes #3046 ## Test Plan I was not able to locate any existing test for this provider, so I performed manual testing. But the change is really trivial and straightforward.
34 lines
905 B
Python
34 lines
905 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from llama_stack.apis.models import ModelType
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from llama_stack.providers.utils.inference.model_registry import (
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ProviderModelEntry,
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)
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LLM_MODEL_IDS = [
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"gemini-1.5-flash",
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"gemini-1.5-pro",
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"gemini-2.0-flash",
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"gemini-2.0-flash-lite",
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"gemini-2.5-flash",
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"gemini-2.5-flash-lite",
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"gemini-2.5-pro",
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]
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SAFETY_MODELS_ENTRIES = []
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MODEL_ENTRIES = (
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[ProviderModelEntry(provider_model_id=m) for m in LLM_MODEL_IDS]
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+ [
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ProviderModelEntry(
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provider_model_id="text-embedding-004",
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model_type=ModelType.embedding,
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metadata={"embedding_dimension": 768, "context_length": 2048},
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),
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]
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+ SAFETY_MODELS_ENTRIES
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)
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