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chore(package): migrate to src/ layout (#3920)

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Migrates package structure to src/ layout following Python packaging
best practices.

All code moved from `llama_stack/` to `src/llama_stack/`. Public API
unchanged - imports remain `import llama_stack.*`.

Updated build configs, pre-commit hooks, scripts, and GitHub workflows
accordingly. All hooks pass, package builds cleanly.

**Developer note**: Reinstall after pulling: `pip install -e .`
This commit is contained in:
Ashwin Bharambe 2025-10-27 12:02:21 -07:00 • committed by GitHub
parent 98a5047f9d
commit 471b1b248b
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61
llama_stack/providers/remote/inference/azure/config.py
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@ -1,61 +0,0 @@
# 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, HttpUrl, SecretStr
from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig
from llama_stack.schema_utils import json_schema_type
class AzureProviderDataValidator(BaseModel):
azure_api_key: SecretStr = Field(
description="Azure API key for Azure",
)
azure_api_base: HttpUrl = Field(
description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com)",
)
azure_api_version: str | None = Field(
default=None,
description="Azure API version for Azure (e.g., 2024-06-01)",
)
azure_api_type: str | None = Field(
default="azure",
description="Azure API type for Azure (e.g., azure)",
)
@json_schema_type
class AzureConfig(RemoteInferenceProviderConfig):
api_base: HttpUrl = Field(
description="Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com)",
)
api_version: str | None = Field(
default_factory=lambda: os.getenv("AZURE_API_VERSION"),
description="Azure API version for Azure (e.g., 2024-12-01-preview)",
)
api_type: str | None = Field(
default_factory=lambda: os.getenv("AZURE_API_TYPE", "azure"),
description="Azure API type for Azure (e.g., azure)",
)
@classmethod
def sample_run_config(
cls,
api_key: str = "${env.AZURE_API_KEY:=}",
api_base: str = "${env.AZURE_API_BASE:=}",
api_version: str = "${env.AZURE_API_VERSION:=}",
api_type: str = "${env.AZURE_API_TYPE:=}",
**kwargs,
) -> dict[str, Any]:
return {
"api_key": api_key,
"api_base": api_base,
"api_version": api_version,
"api_type": api_type,
}