llama-stack-mirror/llama_stack/providers/remote/inference/vertexai/config.py
Eran Cohen a4bad6c0b4
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feat: Add Google Vertex AI inference provider support (#2841)
# What does this PR do?
- 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
- Updated starter template to support Vertex AI configuration
- Added comprehensive documentation and sample configuration

<!-- If resolving an issue, uncomment and update the line below -->
relates to https://github.com/meta-llama/llama-stack/issues/2747

## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->

Signed-off-by: Eran Cohen <eranco@redhat.com>
Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com>
2025-08-11 08:22:04 -04:00

45 lines
1.2 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import Any
from pydantic import BaseModel, Field
from llama_stack.schema_utils import json_schema_type
class VertexAIProviderDataValidator(BaseModel):
vertex_project: str | None = Field(
default=None,
description="Google Cloud project ID for Vertex AI",
)
vertex_location: str | None = Field(
default=None,
description="Google Cloud location for Vertex AI (e.g., us-central1)",
)
@json_schema_type
class VertexAIConfig(BaseModel):
project: str = Field(
description="Google Cloud project ID for Vertex AI",
)
location: str = Field(
default="us-central1",
description="Google Cloud location for Vertex AI",
)
@classmethod
def sample_run_config(
cls,
project: str = "${env.VERTEX_AI_PROJECT:=}",
location: str = "${env.VERTEX_AI_LOCATION:=us-central1}",
**kwargs,
) -> dict[str, Any]:
return {
"project": project,
"location": location,
}