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added nvidia as safety provider
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parent
07a992ef90
commit
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14 changed files with 354 additions and 78 deletions
18
llama_stack/providers/remote/safety/nvidia/__init__.py
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18
llama_stack/providers/remote/safety/nvidia/__init__.py
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# 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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from typing import Any
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from .config import NVIDIASafetyConfig
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async def get_adapter_impl(config: NVIDIASafetyConfig, _deps) -> Any:
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from .nvidia import NVIDIASafetyAdapter
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impl = NVIDIASafetyAdapter(config)
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await impl.initialize()
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return impl
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45
llama_stack/providers/remote/safety/nvidia/config.py
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llama_stack/providers/remote/safety/nvidia/config.py
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# 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, Dict, Optional
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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://localhost:8000
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api_key (str): The access key for the hosted NIM endpoints
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There are two ways to access NVIDIA NIMs -
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0. Hosted: Preview APIs hosted at https://integrate.api.nvidia.com
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1. Self-hosted: You can run NVIDIA NIMs on your own infrastructure
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By default the configuration is set to use the hosted APIs. This requires
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an API key which can be obtained from https://ngc.nvidia.com/.
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By default the configuration will attempt to read the NVIDIA_API_KEY environment
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variable to set the api_key. Please do not put your API key in code.
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"""
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guardrails_service_url: str = Field(
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default_factory=lambda: os.getenv("NVIDIA_BASE_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: Optional[str] = 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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103
llama_stack/providers/remote/safety/nvidia/nvidia.py
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103
llama_stack/providers/remote/safety/nvidia/nvidia.py
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# 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 logging
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from typing import Any, Dict, List
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import requests
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from llama_stack.apis.inference import Message
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from llama_stack.apis.safety import RunShieldResponse, Safety, SafetyViolation, ViolationLevel
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from llama_stack.apis.shields import Shield
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from llama_stack.distribution.library_client import convert_pydantic_to_json_value
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from llama_stack.providers.datatypes import ShieldsProtocolPrivate
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from .config import NVIDIASafetyConfig
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logger = logging.getLogger(__name__)
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class NVIDIASafetyAdapter(Safety, ShieldsProtocolPrivate):
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def __init__(self, config: NVIDIASafetyConfig) -> None:
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print(f"Initializing NVIDIASafetyAdapter({config.guardrails_service_url})...")
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self.config = config
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async def initialize(self) -> None:
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pass
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async def shutdown(self) -> None:
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pass
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async def register_shield(self, shield: Shield) -> None:
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if not shield.provider_resource_id:
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raise ValueError("Shield model not provided.")
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async def run_shield(
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self, shield_id: str, messages: List[Message], params: Dict[str, Any] = None
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) -> RunShieldResponse:
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shield = await self.shield_store.get_shield(shield_id)
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if not shield:
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raise ValueError(f"Shield {shield_id} not found")
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self.shield = NeMoGuardrails(self.config, shield.shield_id)
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return await self.shield.run(messages)
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class NeMoGuardrails:
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def __init__(
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self,
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config: NVIDIASafetyConfig,
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model: str,
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threshold: float = 0.9,
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temperature: float = 1.0,
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):
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self.config_id = config.config_id
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self.model = model
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assert self.config_id is not None or self.config_store_path is not None, (
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"Must provide one of config id or config store path"
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)
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if temperature <= 0:
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raise ValueError("Temperature must be greater than 0")
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self.temperature = temperature
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self.threshold = threshold
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self.guardrails_service_url = config.guardrails_service_url
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async def run(self, messages: List[Message]) -> RunShieldResponse:
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headers = {
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"Accept": "application/json",
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}
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request_data = {
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"model": self.model,
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"messages": convert_pydantic_to_json_value(messages),
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"temperature": self.temperature,
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"top_p": 1,
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"frequency_penalty": 0,
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"presence_penalty": 0,
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"max_tokens": 160,
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"stream": False,
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"guardrails": {
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"config_id": self.config_id,
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},
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}
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response = requests.post(
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url=f"{self.guardrails_service_url}/v1/guardrail/checks", headers=headers, json=request_data
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)
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response.raise_for_status()
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if "Content-Type" in response.headers and response.headers["Content-Type"].startswith("application/json"):
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response_json = response.json()
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if response_json["status"] == "blocked":
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user_message = "Sorry I cannot do this."
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metadata = response_json["rails_status"]
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return RunShieldResponse(
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violation=SafetyViolation(
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user_message=user_message,
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violation_level=ViolationLevel.ERROR,
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metadata=metadata,
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)
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)
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return RunShieldResponse(violation=None)
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