litellm-mirror/litellm/proxy/guardrails/guardrail_hooks/aim.py

# +-------------------------------------------------------------+
#
#           Use Aim Security Guardrails for your LLM calls
#                   https://www.aim.security/
#
# +-------------------------------------------------------------+
import asyncio
import json
import os
from typing import Any, Literal, Optional, Union

from fastapi import HTTPException
from pydantic import BaseModel
from websockets.asyncio.client import ClientConnection, connect

from litellm import DualCache
from litellm._logging import verbose_proxy_logger
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.llms.custom_httpx.http_handler import (
    get_async_httpx_client,
    httpxSpecialProvider,
)
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.proxy_server import StreamingCallbackError
from litellm.types.utils import (
    Choices,
    EmbeddingResponse,
    ImageResponse,
    ModelResponse,
    ModelResponseStream,
)

class AimGuardrailMissingSecrets(Exception):
    pass


class AimGuardrail(CustomGuardrail):
    def __init__(
        self, api_key: Optional[str] = None, api_base: Optional[str] = None, **kwargs
    ):
        self.async_handler = get_async_httpx_client(
            llm_provider=httpxSpecialProvider.GuardrailCallback
        )
        self.api_key = api_key or os.environ.get("AIM_API_KEY")
        if not self.api_key:
            msg = (
                "Couldn't get Aim api key, either set the `AIM_API_KEY` in the environment or "
                "pass it as a parameter to the guardrail in the config file"
            )
            raise AimGuardrailMissingSecrets(msg)
        self.api_base = api_base or os.environ.get("AIM_API_BASE") or "https://api.aim.security"
        self.ws_api_base = self.api_base.replace("http://", "ws://").replace("https://", "wss://")
        super().__init__(**kwargs)

    async def async_pre_call_hook(
        self,
        user_api_key_dict: UserAPIKeyAuth,
        cache: DualCache,
        data: dict,
        call_type: Literal[
            "completion",
            "text_completion",
            "embeddings",
            "image_generation",
            "moderation",
            "audio_transcription",
            "pass_through_endpoint",
            "rerank",
        ],
    ) -> Union[Exception, str, dict, None]:
        verbose_proxy_logger.debug("Inside AIM Pre-Call Hook")

        await self.call_aim_guardrail(data, hook="pre_call")
        return data

    async def async_moderation_hook(
        self,
        data: dict,
        user_api_key_dict: UserAPIKeyAuth,
        call_type: Literal[
            "completion",
            "embeddings",
            "image_generation",
            "moderation",
            "audio_transcription",
            "responses",
        ],
    ) -> Union[Exception, str, dict, None]:
        verbose_proxy_logger.debug("Inside AIM Moderation Hook")

        await self.call_aim_guardrail(data, hook="moderation")
        return data

    async def call_aim_guardrail(self, data: dict, hook: str) -> None:
        user_email = data.get("metadata", {}).get("headers", {}).get("x-aim-user-email")
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "x-aim-litellm-hook": hook,
        } | ({"x-aim-user-email": user_email} if user_email else {})
        response = await self.async_handler.post(
            f"{self.api_base}/detect/openai",
            headers=headers,
            json={"messages": data.get("messages", [])},
        )
        response.raise_for_status()
        res = response.json()
        detected = res["detected"]
        verbose_proxy_logger.info(
            "Aim: detected: {detected}, enabled policies: {policies}".format(
                detected=detected,
                policies=list(res["details"].keys()),
            ),
        )
        if detected:
            raise HTTPException(status_code=400, detail=res["detection_message"])

    async def call_aim_guardrail_on_output(self, request_data: dict, output: str, hook: str) -> None:
        user_email = request_data.get("metadata", {}).get("headers", {}).get("x-aim-user-email")
        headers = {"Authorization": f"Bearer {self.api_key}", "x-aim-litellm-hook": hook} | (
            {"x-aim-user-email": user_email} if user_email else {}
        )
        response = await self.async_handler.post(
            f"{self.api_base}/detect",
            headers=headers,
            json={"user_prompt": output},
        )
        response.raise_for_status()
        res = response.json()
        detected = res["detected"]
        verbose_proxy_logger.info(
            "Aim: detected: {detected}, enabled policies: {policies}".format(
                detected=detected,
                policies=list(res["details"].keys()),
            ),
        )
        if detected:
            return res["detection_message"]
        return None

    async def async_post_call_success_hook(
        self,
        data: dict,
        user_api_key_dict: UserAPIKeyAuth,
        response: Union[Any, ModelResponse, EmbeddingResponse, ImageResponse],
    ) -> Any:
        if isinstance(response, ModelResponse) and response.choices and isinstance(response.choices[0], Choices):
            content = response.choices[0].message.content or ""
            detection = await self.call_aim_guardrail_on_output(data, content, hook="output")
            if detection:
                raise HTTPException(status_code=400, detail=detection)

    async def async_post_call_streaming_iterator_hook(
        self,
        user_api_key_dict: UserAPIKeyAuth,
        response,
        request_data: dict,
    ) -> Any:
        user_email = request_data.get("metadata", {}).get("headers", {}).get("x-aim-user-email")
        headers = {
            "Authorization": f"Bearer {self.api_key}",
        } | ({"x-aim-user-email": user_email} if user_email else {})
        async with connect(f"{self.ws_api_base}/detect/output/ws", additional_headers=headers) as websocket:
            sender = asyncio.create_task(self.forward_the_stream_to_aim(websocket, response))
            while True:
                result = json.loads(await websocket.recv())
                if verified_chunk := result.get("verified_chunk"):
                    yield ModelResponseStream.model_validate(verified_chunk)
                else:
                    sender.cancel()
                    if result.get("done"):
                        return
                    if blocking_message := result.get("blocking_message"):
                        raise StreamingCallbackError(blocking_message)
                    verbose_proxy_logger.error(f"Unknown message received from AIM: {result}")
                    return

    async def forward_the_stream_to_aim(
        self,
        websocket: ClientConnection,
        response_iter,
    ) -> None:
        async for chunk in response_iter:
            if isinstance(chunk, BaseModel):
                chunk = chunk.model_dump_json()
            if isinstance(chunk, dict):
                chunk = json.dumps(chunk)
            await websocket.send(chunk)
        await websocket.send(json.dumps({"done": True}))