llama-stack-mirror/llama_stack/providers/remote/inference/sambanova/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

30 lines
825 B
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
@json_schema_type
class SambaNovaImplConfig(BaseModel):
url: str = Field(
default="https://api.sambanova.ai/v1",
description="The URL for the SambaNova AI server",
)
api_key: str | None = Field(
default=None,
description="The SambaNova.ai API Key",
)
@classmethod
def sample_run_config(cls, **kwargs) -> dict[str, Any]:
return {
"url": "https://api.sambanova.ai/v1",
"api_key": "${env.SAMBANOVA_API_KEY}",
}