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# 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>
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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from typing import Any
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from pydantic import BaseModel, Field
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from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class NVIDIASafetyConfig(BaseModel):
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"""
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Configuration for the NVIDIA Guardrail microservice endpoint.
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Attributes:
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guardrails_service_url (str): A base url for accessing the NVIDIA guardrail endpoint, e.g. http://0.0.0.0:7331
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config_id (str): The ID of the guardrails configuration to use from the configuration store
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(https://developer.nvidia.com/docs/nemo-microservices/guardrails/source/guides/configuration-store-guide.html)
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"""
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guardrails_service_url: str = Field(
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default_factory=lambda: os.getenv("GUARDRAILS_SERVICE_URL", "http://0.0.0.0:7331"),
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description="The url for accessing the guardrails service",
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)
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config_id: str | None = Field(default="self-check", description="Config ID to use from the config store")
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@classmethod
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def sample_run_config(cls, **kwargs) -> dict[str, Any]:
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return {
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"guardrails_service_url": "${env.GUARDRAILS_SERVICE_URL:http://localhost:7331}",
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"config_id": "self-check",
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}
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