llama-stack-mirror/llama_stack/providers/remote/eval/nvidia/config.py
Ihar Hrachyshka 9e6561a1ec
chore: enable pyupgrade fixes (#1806)
# What does this PR do?

The goal of this PR is code base modernization.

Schema reflection code needed a minor adjustment to handle UnionTypes
and collections.abc.AsyncIterator. (Both are preferred for latest Python
releases.)

Note to reviewers: almost all changes here are automatically generated
by pyupgrade. Some additional unused imports were cleaned up. The only
change worth of note can be found under `docs/openapi_generator` and
`llama_stack/strong_typing/schema.py` where reflection code was updated
to deal with "newer" types.

Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
2025-05-01 14:23:50 -07:00

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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.
import os
from typing import Any
from pydantic import BaseModel, Field
class NVIDIAEvalConfig(BaseModel):
"""
Configuration for the NVIDIA NeMo Evaluator microservice endpoint.
Attributes:
evaluator_url (str): A base url for accessing the NVIDIA evaluation endpoint, e.g. http://localhost:8000.
"""
evaluator_url: str = Field(
default_factory=lambda: os.getenv("NVIDIA_EVALUATOR_URL", "http://0.0.0.0:7331"),
description="The url for accessing the evaluator service",
)
@classmethod
def sample_run_config(cls, **kwargs) -> dict[str, Any]:
return {
"evaluator_url": "${env.NVIDIA_EVALUATOR_URL:http://localhost:7331}",
}