mirror of
https://github.com/meta-llama/llama-stack.git
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60f0056cbc
- implement get_api_key instead of relying on LiteLLMOpenAIMixin.get_api_key - remove use of LiteLLMOpenAIMixin - add default initialize/shutdown methods to OpenAIMixin - remove __init__s to allow proper pydantic construction - remove dead code from vllm adapter and associated / duplicate unit tests - update vllm adapter to use openaimixin for model registration - remove ModelRegistryHelper from fireworks & together adapters - remove Inference from nvidia adapter - complete type hints on embedding_model_metadata - allow extra fields on OpenAIMixin, for model_store, __provider_id__, etc - new recordings for ollama
65 lines
2.6 KiB
Python
65 lines
2.6 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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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 LiteLLM handle it
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# This allows the LiteLLM mixin to 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 _get_params(self, request: ChatCompletionRequest) -> dict[str, Any]:
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# # Get base parameters from parent
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# params = await super()._get_params(request)
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# # Add Vertex AI specific parameters
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# provider_data = self.get_request_provider_data()
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# if provider_data:
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# if getattr(provider_data, "vertex_project", None):
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# params["vertex_project"] = provider_data.vertex_project
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# if getattr(provider_data, "vertex_location", None):
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# params["vertex_location"] = provider_data.vertex_location
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# else:
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# params["vertex_project"] = self.config.project
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# params["vertex_location"] = self.config.location
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# # Remove api_key since Vertex AI uses ADC
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# params.pop("api_key", None)
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# return params
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