llama-stack-mirror/llama_stack/providers/remote/inference/vertexai/config.py
Francisco Javier Arceo ae3cbde8a4 docs: Add documentation on how to contribute a Vector DB provider and
updated Test documentation and added a shortcut

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
2025-08-11 10:45:14 -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,
}