mirror of
https://github.com/meta-llama/llama-stack.git
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59468f2c5d
partial revert of b67aef2
Vertex AI doesn't offer an endpoint for listing models
from Google's Model Garden
Return to hardcoded values until such an endpoint is
available
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>
54 lines
2.1 KiB
Python
54 lines
2.1 KiB
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 collections.abc import Iterable
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import google.auth.transport.requests
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from google.auth import default
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from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
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from .config import VertexAIConfig
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class VertexAIInferenceAdapter(OpenAIMixin):
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config: VertexAIConfig
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provider_data_api_key_field: str = "vertex_project"
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def get_api_key(self) -> str:
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"""
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Get an access token for Vertex AI using Application Default Credentials.
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Vertex AI uses ADC instead of API keys. This method obtains an access token
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from the default credentials and returns it for use with the OpenAI-compatible client.
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"""
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try:
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# Get default credentials - will read from GOOGLE_APPLICATION_CREDENTIALS
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credentials, _ = default(scopes=["https://www.googleapis.com/auth/cloud-platform"])
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credentials.refresh(google.auth.transport.requests.Request())
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return str(credentials.token)
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except Exception:
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# If we can't get credentials, return empty string to let the env work with ADC directly
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return ""
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def get_base_url(self) -> str:
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"""
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Get the Vertex AI OpenAI-compatible API base URL.
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Returns the Vertex AI OpenAI-compatible endpoint URL.
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Source: https://cloud.google.com/vertex-ai/generative-ai/docs/start/openai
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"""
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return f"https://{self.config.location}-aiplatform.googleapis.com/v1/projects/{self.config.project}/locations/{self.config.location}/endpoints/openapi"
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async def list_provider_model_ids(self) -> Iterable[str]:
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"""
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VertexAI doesn't currently offer a way to query a list of available models from Google's Model Garden
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For now we return a hardcoded version of the available models
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:return: An iterable of model IDs
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"""
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return ["vertexai/gemini-2.0-flash", "vertexai/gemini-2.5-flash", "vertexai/gemini-2.5-pro"]
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