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- Add new Vertex AI remote inference provider with litellm integration - Support for Gemini models through Google Cloud Vertex AI platform - Uses Google Cloud Application Default Credentials (ADC) for authentication - Added VertexAI models: gemini-2.5-flash, gemini-2.5-pro, gemini-2.0-flash. - Updated provider registry to include vertexai provider - Add vertexai to INFERENCE_PROVIDER_IDS in starter distribution template - Update VertexAI provider to be conditionally included in starter template when VERTEX_AI_PROJECT env var is set - Added comprehensive documentation and sample configuration Signed-off-by: Eran Cohen <eranco@redhat.com>
20 lines
641 B
Python
20 lines
641 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.providers.utils.inference.model_registry import (
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ProviderModelEntry,
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)
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# Vertex AI model IDs with vertex_ai/ prefix as required by litellm
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LLM_MODEL_IDS = [
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"vertex_ai/gemini-2.0-flash",
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"vertex_ai/gemini-2.5-flash",
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"vertex_ai/gemini-2.5-pro",
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]
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SAFETY_MODELS_ENTRIES = list[ProviderModelEntry]()
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MODEL_ENTRIES = [ProviderModelEntry(provider_model_id=m) for m in LLM_MODEL_IDS] + SAFETY_MODELS_ENTRIES
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