import asyncio
import copy
import hashlib
import importlib
import json
import os
import smtplib
import threading
import time
import traceback
from datetime import datetime, timedelta
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from typing import TYPE_CHECKING, Any, List, Literal, Optional, Union, overload

from litellm.litellm_core_utils.duration_parser import duration_in_seconds
from litellm.proxy._types import (
    DB_CONNECTION_ERROR_TYPES,
    CommonProxyErrors,
    ProxyErrorTypes,
    ProxyException,
)

try:
    import backoff
except ImportError:
    raise ImportError(
        "backoff is not installed. Please install it via 'pip install backoff'"
    )

from fastapi import HTTPException, status

import litellm
import litellm.litellm_core_utils
import litellm.litellm_core_utils.litellm_logging
from litellm import EmbeddingResponse, ImageResponse, ModelResponse, Router
from litellm._logging import verbose_proxy_logger
from litellm._service_logger import ServiceLogging, ServiceTypes
from litellm.caching.caching import DualCache, RedisCache
from litellm.exceptions import RejectedRequestError
from litellm.integrations.custom_guardrail import CustomGuardrail
from litellm.integrations.custom_logger import CustomLogger
from litellm.integrations.SlackAlerting.slack_alerting import SlackAlerting
from litellm.integrations.SlackAlerting.utils import _add_langfuse_trace_id_to_alert
from litellm.litellm_core_utils.litellm_logging import Logging
from litellm.llms.custom_httpx.httpx_handler import HTTPHandler
from litellm.proxy._types import (
    AlertType,
    CallInfo,
    LiteLLM_VerificationTokenView,
    Member,
    ResetTeamBudgetRequest,
    UserAPIKeyAuth,
)
from litellm.proxy.db.create_views import (
    create_missing_views,
    should_create_missing_views,
)
from litellm.proxy.db.log_db_metrics import log_db_metrics
from litellm.proxy.db.prisma_client import PrismaWrapper
from litellm.proxy.hooks.cache_control_check import _PROXY_CacheControlCheck
from litellm.proxy.hooks.max_budget_limiter import _PROXY_MaxBudgetLimiter
from litellm.proxy.hooks.parallel_request_limiter import (
    _PROXY_MaxParallelRequestsHandler,
)
from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup
from litellm.secret_managers.main import str_to_bool
from litellm.types.integrations.slack_alerting import DEFAULT_ALERT_TYPES
from litellm.types.utils import CallTypes, LoggedLiteLLMParams

if TYPE_CHECKING:
    from opentelemetry.trace import Span as _Span

    Span = _Span
else:
    Span = Any


def print_verbose(print_statement):
    """
    Prints the given `print_statement` to the console if `litellm.set_verbose` is True.
    Also logs the `print_statement` at the debug level using `verbose_proxy_logger`.

    :param print_statement: The statement to be printed and logged.
    :type print_statement: Any
    """
    import traceback

    verbose_proxy_logger.debug("{}\n{}".format(print_statement, traceback.format_exc()))
    if litellm.set_verbose:
        print(f"LiteLLM Proxy: {print_statement}")  # noqa


def safe_deep_copy(data):
    """
    Safe Deep Copy

    The LiteLLM Request has some object that can-not be pickled / deep copied

    Use this function to safely deep copy the LiteLLM Request
    """
    if litellm.safe_memory_mode is True:
        return data

    litellm_parent_otel_span: Optional[Any] = None
    # Step 1: Remove the litellm_parent_otel_span
    litellm_parent_otel_span = None
    if isinstance(data, dict):
        # remove litellm_parent_otel_span since this is not picklable
        if "metadata" in data and "litellm_parent_otel_span" in data["metadata"]:
            litellm_parent_otel_span = data["metadata"].pop("litellm_parent_otel_span")
    new_data = copy.deepcopy(data)

    # Step 2: re-add the litellm_parent_otel_span after doing a deep copy
    if isinstance(data, dict) and litellm_parent_otel_span is not None:
        if "metadata" in data:
            data["metadata"]["litellm_parent_otel_span"] = litellm_parent_otel_span
    return new_data


class InternalUsageCache:
    def __init__(self, dual_cache: DualCache):
        self.dual_cache: DualCache = dual_cache

    async def async_get_cache(
        self,
        key,
        litellm_parent_otel_span: Union[Span, None],
        local_only: bool = False,
        **kwargs,
    ) -> Any:
        return await self.dual_cache.async_get_cache(
            key=key,
            local_only=local_only,
            parent_otel_span=litellm_parent_otel_span,
            **kwargs,
        )

    async def async_set_cache(
        self,
        key,
        value,
        litellm_parent_otel_span: Union[Span, None],
        local_only: bool = False,
        **kwargs,
    ) -> None:
        return await self.dual_cache.async_set_cache(
            key=key,
            value=value,
            local_only=local_only,
            litellm_parent_otel_span=litellm_parent_otel_span,
            **kwargs,
        )

    async def async_batch_set_cache(
        self,
        cache_list: List,
        litellm_parent_otel_span: Union[Span, None],
        local_only: bool = False,
        **kwargs,
    ) -> None:
        return await self.dual_cache.async_set_cache_pipeline(
            cache_list=cache_list,
            local_only=local_only,
            litellm_parent_otel_span=litellm_parent_otel_span,
            **kwargs,
        )

    async def async_batch_get_cache(
        self,
        keys: list,
        parent_otel_span: Optional[Span] = None,
        local_only: bool = False,
    ):
        return await self.dual_cache.async_batch_get_cache(
            keys=keys,
            parent_otel_span=parent_otel_span,
            local_only=local_only,
        )

    async def async_increment_cache(
        self,
        key,
        value: float,
        litellm_parent_otel_span: Union[Span, None],
        local_only: bool = False,
        **kwargs,
    ):
        return await self.dual_cache.async_increment_cache(
            key=key,
            value=value,
            local_only=local_only,
            parent_otel_span=litellm_parent_otel_span,
            **kwargs,
        )

    def set_cache(
        self,
        key,
        value,
        local_only: bool = False,
        **kwargs,
    ) -> None:
        return self.dual_cache.set_cache(
            key=key,
            value=value,
            local_only=local_only,
            **kwargs,
        )

    def get_cache(
        self,
        key,
        local_only: bool = False,
        **kwargs,
    ) -> Any:
        return self.dual_cache.get_cache(
            key=key,
            local_only=local_only,
            **kwargs,
        )


### LOGGING ###
class ProxyLogging:
    """
    Logging/Custom Handlers for proxy.

    Implemented mainly to:
    - log successful/failed db read/writes
    - support the max parallel request integration
    """

    def __init__(
        self,
        user_api_key_cache: DualCache,
        premium_user: bool = False,
    ):
        ## INITIALIZE  LITELLM CALLBACKS ##
        self.call_details: dict = {}
        self.call_details["user_api_key_cache"] = user_api_key_cache
        self.internal_usage_cache: InternalUsageCache = InternalUsageCache(
            dual_cache=DualCache(default_in_memory_ttl=1)  # ping redis cache every 1s
        )
        self.max_parallel_request_limiter = _PROXY_MaxParallelRequestsHandler(
            self.internal_usage_cache
        )
        self.max_budget_limiter = _PROXY_MaxBudgetLimiter()
        self.cache_control_check = _PROXY_CacheControlCheck()
        self.alerting: Optional[List] = None
        self.alerting_threshold: float = 300  # default to 5 min. threshold
        self.alert_types: List[AlertType] = DEFAULT_ALERT_TYPES
        self.alert_to_webhook_url: Optional[dict] = None
        self.slack_alerting_instance: SlackAlerting = SlackAlerting(
            alerting_threshold=self.alerting_threshold,
            alerting=self.alerting,
            internal_usage_cache=self.internal_usage_cache.dual_cache,
        )
        self.premium_user = premium_user
        self.service_logging_obj = ServiceLogging()

    def startup_event(
        self,
        llm_router: Optional[Router],
        redis_usage_cache: Optional[RedisCache],
    ):
        """Initialize logging and alerting on proxy startup"""
        ## UPDATE SLACK ALERTING ##
        self.slack_alerting_instance.update_values(llm_router=llm_router)

        ## UPDATE INTERNAL USAGE CACHE ##
        self.update_values(
            redis_cache=redis_usage_cache
        )  # used by parallel request limiter for rate limiting keys across instances

        self._init_litellm_callbacks(
            llm_router=llm_router
        )  # INITIALIZE LITELLM CALLBACKS ON SERVER STARTUP <- do this to catch any logging errors on startup, not when calls are being made

        if (
            self.slack_alerting_instance is not None
            and "daily_reports" in self.slack_alerting_instance.alert_types
        ):
            asyncio.create_task(
                self.slack_alerting_instance._run_scheduled_daily_report(
                    llm_router=llm_router
                )
            )  # RUN DAILY REPORT (if scheduled)

    def update_values(
        self,
        alerting: Optional[List] = None,
        alerting_threshold: Optional[float] = None,
        redis_cache: Optional[RedisCache] = None,
        alert_types: Optional[List[AlertType]] = None,
        alerting_args: Optional[dict] = None,
        alert_to_webhook_url: Optional[dict] = None,
    ):
        updated_slack_alerting: bool = False
        if alerting is not None:
            self.alerting = alerting
            updated_slack_alerting = True
        if alerting_threshold is not None:
            self.alerting_threshold = alerting_threshold
            updated_slack_alerting = True
        if alert_types is not None:
            self.alert_types = alert_types
            updated_slack_alerting = True
        if alert_to_webhook_url is not None:
            self.alert_to_webhook_url = alert_to_webhook_url
            updated_slack_alerting = True

        if updated_slack_alerting is True:
            self.slack_alerting_instance.update_values(
                alerting=self.alerting,
                alerting_threshold=self.alerting_threshold,
                alert_types=self.alert_types,
                alerting_args=alerting_args,
                alert_to_webhook_url=self.alert_to_webhook_url,
            )

            if self.alerting is not None and "slack" in self.alerting:
                # NOTE: ENSURE we only add callbacks when alerting is on
                # We should NOT add callbacks when alerting is off
                if "daily_reports" in self.alert_types:
                    litellm.logging_callback_manager.add_litellm_callback(self.slack_alerting_instance)  # type: ignore
                litellm.logging_callback_manager.add_litellm_success_callback(
                    self.slack_alerting_instance.response_taking_too_long_callback
                )

        if redis_cache is not None:
            self.internal_usage_cache.dual_cache.redis_cache = redis_cache

    def _init_litellm_callbacks(self, llm_router: Optional[Router] = None):
        litellm.logging_callback_manager.add_litellm_callback(self.max_parallel_request_limiter)  # type: ignore
        litellm.logging_callback_manager.add_litellm_callback(self.max_budget_limiter)  # type: ignore
        litellm.logging_callback_manager.add_litellm_callback(self.cache_control_check)  # type: ignore
        litellm.logging_callback_manager.add_litellm_callback(self.service_logging_obj)  # type: ignore
        for callback in litellm.callbacks:
            if isinstance(callback, str):
                callback = litellm.litellm_core_utils.litellm_logging._init_custom_logger_compatible_class(  # type: ignore
                    callback,
                    internal_usage_cache=self.internal_usage_cache.dual_cache,
                    llm_router=llm_router,
                )
                if callback is None:
                    continue
            if callback not in litellm.input_callback:
                litellm.input_callback.append(callback)  # type: ignore
            if callback not in litellm.success_callback:
                litellm.logging_callback_manager.add_litellm_success_callback(callback)  # type: ignore
            if callback not in litellm.failure_callback:
                litellm.logging_callback_manager.add_litellm_failure_callback(callback)  # type: ignore
            if callback not in litellm._async_success_callback:
                litellm.logging_callback_manager.add_litellm_async_success_callback(callback)  # type: ignore
            if callback not in litellm._async_failure_callback:
                litellm.logging_callback_manager.add_litellm_async_failure_callback(callback)  # type: ignore
            if callback not in litellm.service_callback:
                litellm.service_callback.append(callback)  # type: ignore

        if (
            len(litellm.input_callback) > 0
            or len(litellm.success_callback) > 0
            or len(litellm.failure_callback) > 0
        ):
            callback_list = list(
                set(
                    litellm.input_callback
                    + litellm.success_callback
                    + litellm.failure_callback
                )
            )
            litellm.litellm_core_utils.litellm_logging.set_callbacks(
                callback_list=callback_list
            )

    async def update_request_status(
        self, litellm_call_id: str, status: Literal["success", "fail"]
    ):
        # only use this if slack alerting is being used
        if self.alerting is None:
            return

        # current alerting threshold
        alerting_threshold: float = self.alerting_threshold

        # add a 100 second buffer to the alerting threshold
        # ensures we don't send errant hanging request slack alerts
        alerting_threshold += 100

        await self.internal_usage_cache.async_set_cache(
            key="request_status:{}".format(litellm_call_id),
            value=status,
            local_only=True,
            ttl=alerting_threshold,
            litellm_parent_otel_span=None,
        )

    async def process_pre_call_hook_response(self, response, data, call_type):
        if isinstance(response, Exception):
            raise response
        if isinstance(response, dict):
            return response
        if isinstance(response, str):
            if call_type in ["completion", "text_completion"]:
                raise RejectedRequestError(
                    message=response,
                    model=data.get("model", ""),
                    llm_provider="",
                    request_data=data,
                )
            else:
                raise HTTPException(status_code=400, detail={"error": response})
        return data

    # The actual implementation of the function
    @overload
    async def pre_call_hook(
        self,
        user_api_key_dict: UserAPIKeyAuth,
        data: None,
        call_type: Literal[
            "completion",
            "text_completion",
            "embeddings",
            "image_generation",
            "moderation",
            "audio_transcription",
            "pass_through_endpoint",
            "rerank",
        ],
    ) -> None:
        pass

    @overload
    async def pre_call_hook(
        self,
        user_api_key_dict: UserAPIKeyAuth,
        data: dict,
        call_type: Literal[
            "completion",
            "text_completion",
            "embeddings",
            "image_generation",
            "moderation",
            "audio_transcription",
            "pass_through_endpoint",
            "rerank",
        ],
    ) -> dict:
        pass

    async def pre_call_hook(
        self,
        user_api_key_dict: UserAPIKeyAuth,
        data: Optional[dict],
        call_type: Literal[
            "completion",
            "text_completion",
            "embeddings",
            "image_generation",
            "moderation",
            "audio_transcription",
            "pass_through_endpoint",
            "rerank",
        ],
    ) -> Optional[dict]:
        """
        Allows users to modify/reject the incoming request to the proxy, without having to deal with parsing Request body.

        Covers:
        1. /chat/completions
        2. /embeddings
        3. /image/generation
        """
        verbose_proxy_logger.debug("Inside Proxy Logging Pre-call hook!")

        self._init_response_taking_too_long_task(data=data)

        if data is None:
            return None

        try:
            for callback in litellm.callbacks:

                _callback = None
                if isinstance(callback, str):
                    _callback = litellm.litellm_core_utils.litellm_logging.get_custom_logger_compatible_class(
                        callback
                    )
                else:
                    _callback = callback  # type: ignore
                if _callback is not None and isinstance(_callback, CustomGuardrail):
                    from litellm.types.guardrails import GuardrailEventHooks

                    if (
                        _callback.should_run_guardrail(
                            data=data, event_type=GuardrailEventHooks.pre_call
                        )
                        is not True
                    ):
                        continue

                    response = await _callback.async_pre_call_hook(
                        user_api_key_dict=user_api_key_dict,
                        cache=self.call_details["user_api_key_cache"],
                        data=data,  # type: ignore
                        call_type=call_type,
                    )
                    if response is not None:
                        data = await self.process_pre_call_hook_response(
                            response=response, data=data, call_type=call_type
                        )

                elif (
                    _callback is not None
                    and isinstance(_callback, CustomLogger)
                    and "async_pre_call_hook" in vars(_callback.__class__)
                    and _callback.__class__.async_pre_call_hook
                    != CustomLogger.async_pre_call_hook
                ):
                    response = await _callback.async_pre_call_hook(
                        user_api_key_dict=user_api_key_dict,
                        cache=self.call_details["user_api_key_cache"],
                        data=data,  # type: ignore
                        call_type=call_type,
                    )
                    if response is not None:
                        data = await self.process_pre_call_hook_response(
                            response=response, data=data, call_type=call_type
                        )

            return data
        except Exception as e:
            raise e

    async def during_call_hook(
        self,
        data: dict,
        user_api_key_dict: UserAPIKeyAuth,
        call_type: Literal[
            "completion",
            "embeddings",
            "image_generation",
            "moderation",
            "audio_transcription",
        ],
    ):
        """
        Runs the CustomGuardrail's async_moderation_hook()
        """
        for callback in litellm.callbacks:
            try:
                if isinstance(callback, CustomGuardrail):
                    ################################################################
                    # Check if guardrail should be run for GuardrailEventHooks.during_call hook
                    ################################################################

                    # V1 implementation - backwards compatibility
                    if callback.event_hook is None and hasattr(
                        callback, "moderation_check"
                    ):
                        if callback.moderation_check == "pre_call":  # type: ignore
                            return
                    else:
                        # Main - V2 Guardrails implementation
                        from litellm.types.guardrails import GuardrailEventHooks

                        if (
                            callback.should_run_guardrail(
                                data=data, event_type=GuardrailEventHooks.during_call
                            )
                            is not True
                        ):
                            continue
                    await callback.async_moderation_hook(
                        data=data,
                        user_api_key_dict=user_api_key_dict,
                        call_type=call_type,
                    )
            except Exception as e:
                raise e
        return data

    async def failed_tracking_alert(
        self,
        error_message: str,
        failing_model: str,
    ):
        if self.alerting is None:
            return

        if self.slack_alerting_instance:
            await self.slack_alerting_instance.failed_tracking_alert(
                error_message=error_message,
                failing_model=failing_model,
            )

    async def budget_alerts(
        self,
        type: Literal[
            "token_budget",
            "user_budget",
            "soft_budget",
            "team_budget",
            "proxy_budget",
            "projected_limit_exceeded",
        ],
        user_info: CallInfo,
    ):
        if self.alerting is None:
            # do nothing if alerting is not switched on
            return
        await self.slack_alerting_instance.budget_alerts(
            type=type,
            user_info=user_info,
        )

    async def alerting_handler(
        self,
        message: str,
        level: Literal["Low", "Medium", "High"],
        alert_type: AlertType,
        request_data: Optional[dict] = None,
    ):
        """
        Alerting based on thresholds: - https://github.com/BerriAI/litellm/issues/1298

        - Responses taking too long
        - Requests are hanging
        - Calls are failing
        - DB Read/Writes are failing
        - Proxy Close to max budget
        - Key Close to max budget

        Parameters:
            level: str - Low|Medium|High - if calls might fail (Medium) or are failing (High); Currently, no alerts would be 'Low'.
            message: str - what is the alert about
        """
        if self.alerting is None:
            return

        from datetime import datetime

        # Get the current timestamp
        current_time = datetime.now().strftime("%H:%M:%S")
        _proxy_base_url = os.getenv("PROXY_BASE_URL", None)
        formatted_message = (
            f"Level: `{level}`\nTimestamp: `{current_time}`\n\nMessage: {message}"
        )
        if _proxy_base_url is not None:
            formatted_message += f"\n\nProxy URL: `{_proxy_base_url}`"

        extra_kwargs = {}
        alerting_metadata = {}
        if request_data is not None:
            _url = await _add_langfuse_trace_id_to_alert(request_data=request_data)

            if _url is not None:
                extra_kwargs["🪢 Langfuse Trace"] = _url
                formatted_message += "\n\n🪢 Langfuse Trace: {}".format(_url)
            if (
                "metadata" in request_data
                and request_data["metadata"].get("alerting_metadata", None) is not None
                and isinstance(request_data["metadata"]["alerting_metadata"], dict)
            ):
                alerting_metadata = request_data["metadata"]["alerting_metadata"]
        for client in self.alerting:
            if client == "slack":
                await self.slack_alerting_instance.send_alert(
                    message=message,
                    level=level,
                    alert_type=alert_type,
                    user_info=None,
                    alerting_metadata=alerting_metadata,
                    **extra_kwargs,
                )
            elif client == "sentry":
                if litellm.utils.sentry_sdk_instance is not None:
                    litellm.utils.sentry_sdk_instance.capture_message(formatted_message)
                else:
                    raise Exception("Missing SENTRY_DSN from environment")

    async def failure_handler(
        self, original_exception, duration: float, call_type: str, traceback_str=""
    ):
        """
        Log failed db read/writes

        Currently only logs exceptions to sentry
        """
        ### ALERTING ###
        if AlertType.db_exceptions not in self.alert_types:
            return
        if isinstance(original_exception, HTTPException):
            if isinstance(original_exception.detail, str):
                error_message = original_exception.detail
            elif isinstance(original_exception.detail, dict):
                error_message = json.dumps(original_exception.detail)
            else:
                error_message = str(original_exception)
        else:
            error_message = str(original_exception)
        if isinstance(traceback_str, str):
            error_message += traceback_str[:1000]
        asyncio.create_task(
            self.alerting_handler(
                message=f"DB read/write call failed: {error_message}",
                level="High",
                alert_type=AlertType.db_exceptions,
                request_data={},
            )
        )

        if hasattr(self, "service_logging_obj"):
            await self.service_logging_obj.async_service_failure_hook(
                service=ServiceTypes.DB,
                duration=duration,
                error=error_message,
                call_type=call_type,
            )

        if litellm.utils.capture_exception:
            litellm.utils.capture_exception(error=original_exception)

    async def post_call_failure_hook(
        self,
        request_data: dict,
        original_exception: Exception,
        user_api_key_dict: UserAPIKeyAuth,
        error_type: Optional[ProxyErrorTypes] = None,
        route: Optional[str] = None,
    ):
        """
        Allows users to raise custom exceptions/log when a call fails, without having to deal with parsing Request body.

        Covers:
        1. /chat/completions
        2. /embeddings
        3. /image/generation
        """

        ### ALERTING ###
        await self.update_request_status(
            litellm_call_id=request_data.get("litellm_call_id", ""), status="fail"
        )
        if AlertType.llm_exceptions in self.alert_types and not isinstance(
            original_exception, HTTPException
        ):
            """
            Just alert on LLM API exceptions. Do not alert on user errors

            Related issue - https://github.com/BerriAI/litellm/issues/3395
            """
            litellm_debug_info = getattr(original_exception, "litellm_debug_info", None)
            exception_str = str(original_exception)
            if litellm_debug_info is not None:
                exception_str += litellm_debug_info

            asyncio.create_task(
                self.alerting_handler(
                    message=f"LLM API call failed: `{exception_str}`",
                    level="High",
                    alert_type=AlertType.llm_exceptions,
                    request_data=request_data,
                )
            )

        ### LOGGING ###
        if self._is_proxy_only_error(
            original_exception=original_exception, error_type=error_type
        ):
            await self._handle_logging_proxy_only_error(
                request_data=request_data,
                user_api_key_dict=user_api_key_dict,
                route=route,
                original_exception=original_exception,
            )

        for callback in litellm.callbacks:
            try:
                _callback: Optional[CustomLogger] = None
                if isinstance(callback, str):
                    _callback = litellm.litellm_core_utils.litellm_logging.get_custom_logger_compatible_class(
                        callback
                    )
                else:
                    _callback = callback  # type: ignore
                if _callback is not None and isinstance(_callback, CustomLogger):
                    await _callback.async_post_call_failure_hook(
                        request_data=request_data,
                        user_api_key_dict=user_api_key_dict,
                        original_exception=original_exception,
                    )
            except Exception as e:
                raise e
        return

    def _is_proxy_only_error(
        self,
        original_exception: Exception,
        error_type: Optional[ProxyErrorTypes] = None,
    ) -> bool:
        """
        Return True if the error is a Proxy Only Error

        Prevents double logging of LLM API exceptions

        e.g should only return True for:
            - Authentication Errors from user_api_key_auth
            - HTTP HTTPException (rate limit errors)
        """
        return isinstance(original_exception, HTTPException) or (
            error_type == ProxyErrorTypes.auth_error
        )

    async def _handle_logging_proxy_only_error(
        self,
        request_data: dict,
        user_api_key_dict: UserAPIKeyAuth,
        route: Optional[str] = None,
        original_exception: Optional[Exception] = None,
    ):
        """
        Handle logging for proxy only errors by calling `litellm_logging_obj.async_failure_handler`

        Is triggered when self._is_proxy_only_error() returns True
        """
        litellm_logging_obj: Optional[Logging] = request_data.get(
            "litellm_logging_obj", None
        )
        if litellm_logging_obj is None:
            import uuid

            request_data["litellm_call_id"] = str(uuid.uuid4())
            user_api_key_logged_metadata = (
                LiteLLMProxyRequestSetup.get_sanitized_user_information_from_key(
                    user_api_key_dict=user_api_key_dict
                )
            )

            litellm_logging_obj, data = litellm.utils.function_setup(
                original_function=route or "IGNORE_THIS",
                rules_obj=litellm.utils.Rules(),
                start_time=datetime.now(),
                **request_data,
            )
            if "metadata" not in request_data:
                request_data["metadata"] = {}
            request_data["metadata"].update(user_api_key_logged_metadata)

        if litellm_logging_obj is not None:
            ## UPDATE LOGGING INPUT
            _optional_params = {}
            _litellm_params = {}

            litellm_param_keys = LoggedLiteLLMParams.__annotations__.keys()
            for k, v in request_data.items():
                if k in litellm_param_keys:
                    _litellm_params[k] = v
                elif k != "model" and k != "user":
                    _optional_params[k] = v

            litellm_logging_obj.update_environment_variables(
                model=request_data.get("model", ""),
                user=request_data.get("user", ""),
                optional_params=_optional_params,
                litellm_params=_litellm_params,
            )

            input: Union[list, str, dict] = ""
            if "messages" in request_data and isinstance(
                request_data["messages"], list
            ):
                input = request_data["messages"]
                litellm_logging_obj.model_call_details["messages"] = input
                litellm_logging_obj.call_type = CallTypes.acompletion.value
            elif "prompt" in request_data and isinstance(request_data["prompt"], str):
                input = request_data["prompt"]
                litellm_logging_obj.model_call_details["prompt"] = input
                litellm_logging_obj.call_type = CallTypes.atext_completion.value
            elif "input" in request_data and isinstance(request_data["input"], list):
                input = request_data["input"]
                litellm_logging_obj.model_call_details["input"] = input
                litellm_logging_obj.call_type = CallTypes.aembedding.value
            litellm_logging_obj.pre_call(
                input=input,
                api_key="",
            )

            # log the custom exception
            await litellm_logging_obj.async_failure_handler(
                exception=original_exception,
                traceback_exception=traceback.format_exc(),
            )

            threading.Thread(
                target=litellm_logging_obj.failure_handler,
                args=(
                    original_exception,
                    traceback.format_exc(),
                ),
            ).start()

    async def post_call_success_hook(
        self,
        data: dict,
        response: Union[ModelResponse, EmbeddingResponse, ImageResponse],
        user_api_key_dict: UserAPIKeyAuth,
    ):
        """
        Allow user to modify outgoing data

        Covers:
        1. /chat/completions
        """

        for callback in litellm.callbacks:
            try:
                _callback: Optional[CustomLogger] = None
                if isinstance(callback, str):
                    _callback = litellm.litellm_core_utils.litellm_logging.get_custom_logger_compatible_class(
                        callback
                    )
                else:
                    _callback = callback  # type: ignore

                if _callback is not None:
                    ############## Handle Guardrails ########################################
                    #############################################################################
                    if isinstance(callback, CustomGuardrail):
                        # Main - V2 Guardrails implementation
                        from litellm.types.guardrails import GuardrailEventHooks

                        if (
                            callback.should_run_guardrail(
                                data=data, event_type=GuardrailEventHooks.post_call
                            )
                            is not True
                        ):
                            continue

                        await callback.async_post_call_success_hook(
                            user_api_key_dict=user_api_key_dict,
                            data=data,
                            response=response,
                        )

                    ############ Handle CustomLogger ###############################
                    #################################################################
                    elif isinstance(_callback, CustomLogger):
                        await _callback.async_post_call_success_hook(
                            user_api_key_dict=user_api_key_dict,
                            data=data,
                            response=response,
                        )
            except Exception as e:
                raise e
        return response

    async def async_post_call_streaming_hook(
        self,
        response: Union[ModelResponse, EmbeddingResponse, ImageResponse],
        user_api_key_dict: UserAPIKeyAuth,
    ):
        """
        Allow user to modify outgoing streaming data -> per chunk

        Covers:
        1. /chat/completions
        """
        response_str: Optional[str] = None
        if isinstance(response, ModelResponse):
            response_str = litellm.get_response_string(response_obj=response)
        if response_str is not None:
            for callback in litellm.callbacks:
                try:
                    _callback: Optional[CustomLogger] = None
                    if isinstance(callback, str):
                        _callback = litellm.litellm_core_utils.litellm_logging.get_custom_logger_compatible_class(
                            callback
                        )
                    else:
                        _callback = callback  # type: ignore
                    if _callback is not None and isinstance(_callback, CustomLogger):
                        await _callback.async_post_call_streaming_hook(
                            user_api_key_dict=user_api_key_dict, response=response_str
                        )
                except Exception as e:
                    raise e
        return response

    async def post_call_streaming_hook(
        self,
        response: str,
        user_api_key_dict: UserAPIKeyAuth,
    ):
        """
        - Check outgoing streaming response uptil that point
        - Run through moderation check
        - Reject request if it fails moderation check
        """
        new_response = copy.deepcopy(response)
        for callback in litellm.callbacks:
            try:
                if isinstance(callback, CustomLogger):
                    await callback.async_post_call_streaming_hook(
                        user_api_key_dict=user_api_key_dict, response=new_response
                    )
            except Exception as e:
                raise e
        return new_response

    def _init_response_taking_too_long_task(self, data: Optional[dict] = None):
        """
        Initialize the response taking too long task if user is using slack alerting

        Only run task if user is using slack alerting

        This handles checking for if a request is hanging for too long
        """
        ## ALERTING ###
        if (
            self.slack_alerting_instance
            and self.slack_alerting_instance.alerting is not None
        ):
            asyncio.create_task(
                self.slack_alerting_instance.response_taking_too_long(request_data=data)
            )


### DB CONNECTOR ###
# Define the retry decorator with backoff strategy
# Function to be called whenever a retry is about to happen
def on_backoff(details):
    # The 'tries' key in the details dictionary contains the number of completed tries
    print_verbose(f"Backing off... this was attempt #{details['tries']}")


def jsonify_object(data: dict) -> dict:
    db_data = copy.deepcopy(data)

    for k, v in db_data.items():
        if isinstance(v, dict):
            try:
                db_data[k] = json.dumps(v)
            except Exception:
                # This avoids Prisma retrying this 5 times, and making 5 clients
                db_data[k] = "failed-to-serialize-json"
    return db_data


class PrismaClient:
    user_list_transactons: dict = {}
    end_user_list_transactons: dict = {}
    key_list_transactons: dict = {}
    team_list_transactons: dict = {}
    team_member_list_transactons: dict = {}  # key is ["team_id" + "user_id"]
    org_list_transactons: dict = {}
    spend_log_transactions: List = []

    def __init__(
        self,
        database_url: str,
        proxy_logging_obj: ProxyLogging,
        http_client: Optional[Any] = None,
    ):
        ## init logging object
        self.proxy_logging_obj = proxy_logging_obj
        self.iam_token_db_auth: Optional[bool] = str_to_bool(
            os.getenv("IAM_TOKEN_DB_AUTH")
        )
        verbose_proxy_logger.debug("Creating Prisma Client..")
        try:
            from prisma import Prisma  # type: ignore
        except Exception:
            raise Exception("Unable to find Prisma binaries.")
        if http_client is not None:
            self.db = PrismaWrapper(
                original_prisma=Prisma(http=http_client),
                iam_token_db_auth=(
                    self.iam_token_db_auth
                    if self.iam_token_db_auth is not None
                    else False
                ),
            )
        else:
            self.db = PrismaWrapper(
                original_prisma=Prisma(),
                iam_token_db_auth=(
                    self.iam_token_db_auth
                    if self.iam_token_db_auth is not None
                    else False
                ),
            )  # Client to connect to Prisma db
        verbose_proxy_logger.debug("Success - Created Prisma Client")

    def hash_token(self, token: str):
        # Hash the string using SHA-256
        hashed_token = hashlib.sha256(token.encode()).hexdigest()

        return hashed_token

    def jsonify_object(self, data: dict) -> dict:
        db_data = copy.deepcopy(data)

        for k, v in db_data.items():
            if isinstance(v, dict):
                try:
                    db_data[k] = json.dumps(v)
                except Exception:
                    # This avoids Prisma retrying this 5 times, and making 5 clients
                    db_data[k] = "failed-to-serialize-json"
        return db_data

    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=3,  # maximum number of retries
        max_time=10,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    async def check_view_exists(self):
        """
        Checks if the LiteLLM_VerificationTokenView and MonthlyGlobalSpend exists in the user's db.

        LiteLLM_VerificationTokenView: This view is used for getting the token + team data in user_api_key_auth

        MonthlyGlobalSpend: This view is used for the admin view to see global spend for this month

        If the view doesn't exist, one will be created.
        """

        # Check to see if all of the necessary views exist and if they do, simply return
        # This is more efficient because it lets us check for all views in one
        # query instead of multiple queries.
        try:
            expected_views = [
                "LiteLLM_VerificationTokenView",
                "MonthlyGlobalSpend",
                "Last30dKeysBySpend",
                "Last30dModelsBySpend",
                "MonthlyGlobalSpendPerKey",
                "MonthlyGlobalSpendPerUserPerKey",
                "Last30dTopEndUsersSpend",
                "DailyTagSpend",
            ]
            required_view = "LiteLLM_VerificationTokenView"
            expected_views_str = ", ".join(f"'{view}'" for view in expected_views)
            pg_schema = os.getenv("DATABASE_SCHEMA", "public")
            ret = await self.db.query_raw(
                f"""
                WITH existing_views AS (
                    SELECT viewname
                    FROM pg_views
                    WHERE schemaname = '{pg_schema}' AND viewname IN (
                        {expected_views_str}
                    )
                )
                SELECT
                    (SELECT COUNT(*) FROM existing_views) AS view_count,
                    ARRAY_AGG(viewname) AS view_names
                FROM existing_views
                """
            )
            expected_total_views = len(expected_views)
            if ret[0]["view_count"] == expected_total_views:
                verbose_proxy_logger.info("All necessary views exist!")
                return
            else:
                ## check if required view exists ##
                if ret[0]["view_names"] and required_view not in ret[0]["view_names"]:
                    await self.health_check()  # make sure we can connect to db
                    await self.db.execute_raw(
                        """
                            CREATE VIEW "LiteLLM_VerificationTokenView" AS
                            SELECT
                            v.*,
                            t.spend AS team_spend,
                            t.max_budget AS team_max_budget,
                            t.tpm_limit AS team_tpm_limit,
                            t.rpm_limit AS team_rpm_limit
                            FROM "LiteLLM_VerificationToken" v
                            LEFT JOIN "LiteLLM_TeamTable" t ON v.team_id = t.team_id;
                        """
                    )

                    verbose_proxy_logger.info(
                        "LiteLLM_VerificationTokenView Created in DB!"
                    )
                else:
                    should_create_views = await should_create_missing_views(db=self.db)
                    if should_create_views:
                        await create_missing_views(db=self.db)
                    else:
                        # don't block execution if these views are missing
                        # Convert lists to sets for efficient difference calculation
                        ret_view_names_set = (
                            set(ret[0]["view_names"]) if ret[0]["view_names"] else set()
                        )
                        expected_views_set = set(expected_views)
                        # Find missing views
                        missing_views = expected_views_set - ret_view_names_set

                        verbose_proxy_logger.warning(
                            "\n\n\033[93mNot all views exist in db, needed for UI 'Usage' tab. Missing={}.\nRun 'create_views.py' from https://github.com/BerriAI/litellm/tree/main/db_scripts to create missing views.\033[0m\n".format(
                                missing_views
                            )
                        )

        except Exception:
            raise
        return

    @log_db_metrics
    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=1,  # maximum number of retries
        max_time=2,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    async def get_generic_data(
        self,
        key: str,
        value: Any,
        table_name: Literal["users", "keys", "config", "spend"],
    ):
        """
        Generic implementation of get data
        """
        start_time = time.time()
        try:
            if table_name == "users":
                response = await self.db.litellm_usertable.find_first(
                    where={key: value}  # type: ignore
                )
            elif table_name == "keys":
                response = await self.db.litellm_verificationtoken.find_first(  # type: ignore
                    where={key: value}  # type: ignore
                )
            elif table_name == "config":
                response = await self.db.litellm_config.find_first(  # type: ignore
                    where={key: value}  # type: ignore
                )
            elif table_name == "spend":
                response = await self.db.l.find_first(  # type: ignore
                    where={key: value}  # type: ignore
                )
            return response
        except Exception as e:
            import traceback

            error_msg = f"LiteLLM Prisma Client Exception get_generic_data: {str(e)}"
            verbose_proxy_logger.error(error_msg)
            error_msg = error_msg + "\nException Type: {}".format(type(e))
            error_traceback = error_msg + "\n" + traceback.format_exc()
            end_time = time.time()
            _duration = end_time - start_time
            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    traceback_str=error_traceback,
                    call_type="get_generic_data",
                )
            )

            raise e

    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=3,  # maximum number of retries
        max_time=10,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    @log_db_metrics
    async def get_data(  # noqa: PLR0915
        self,
        token: Optional[Union[str, list]] = None,
        user_id: Optional[str] = None,
        user_id_list: Optional[list] = None,
        team_id: Optional[str] = None,
        team_id_list: Optional[list] = None,
        key_val: Optional[dict] = None,
        table_name: Optional[
            Literal[
                "user",
                "key",
                "config",
                "spend",
                "team",
                "user_notification",
                "combined_view",
            ]
        ] = None,
        query_type: Literal["find_unique", "find_all"] = "find_unique",
        expires: Optional[datetime] = None,
        reset_at: Optional[datetime] = None,
        offset: Optional[int] = None,  # pagination, what row number to start from
        limit: Optional[
            int
        ] = None,  # pagination, number of rows to getch when find_all==True
        parent_otel_span: Optional[Span] = None,
        proxy_logging_obj: Optional[ProxyLogging] = None,
    ):
        args_passed_in = locals()
        start_time = time.time()
        hashed_token: Optional[str] = None
        try:
            response: Any = None
            if (token is not None and table_name is None) or (
                table_name is not None and table_name == "key"
            ):
                # check if plain text or hash
                if token is not None:
                    if isinstance(token, str):
                        hashed_token = _hash_token_if_needed(token=token)
                        verbose_proxy_logger.debug(
                            f"PrismaClient: find_unique for token: {hashed_token}"
                        )
                if query_type == "find_unique" and hashed_token is not None:
                    if token is None:
                        raise HTTPException(
                            status_code=400,
                            detail={"error": f"No token passed in. Token={token}"},
                        )
                    response = await self.db.litellm_verificationtoken.find_unique(
                        where={"token": hashed_token},  # type: ignore
                        include={"litellm_budget_table": True},
                    )
                    if response is not None:
                        # for prisma we need to cast the expires time to str
                        if response.expires is not None and isinstance(
                            response.expires, datetime
                        ):
                            response.expires = response.expires.isoformat()
                    else:
                        # Token does not exist.
                        raise HTTPException(
                            status_code=status.HTTP_401_UNAUTHORIZED,
                            detail=f"Authentication Error: invalid user key - user key does not exist in db. User Key={token}",
                        )
                elif query_type == "find_all" and user_id is not None:
                    response = await self.db.litellm_verificationtoken.find_many(
                        where={"user_id": user_id},
                        include={"litellm_budget_table": True},
                    )
                    if response is not None and len(response) > 0:
                        for r in response:
                            if isinstance(r.expires, datetime):
                                r.expires = r.expires.isoformat()
                elif query_type == "find_all" and team_id is not None:
                    response = await self.db.litellm_verificationtoken.find_many(
                        where={"team_id": team_id},
                        include={"litellm_budget_table": True},
                    )
                    if response is not None and len(response) > 0:
                        for r in response:
                            if isinstance(r.expires, datetime):
                                r.expires = r.expires.isoformat()
                elif (
                    query_type == "find_all"
                    and expires is not None
                    and reset_at is not None
                ):
                    response = await self.db.litellm_verificationtoken.find_many(
                        where={  # type:ignore
                            "OR": [
                                {"expires": None},
                                {"expires": {"gt": expires}},
                            ],
                            "budget_reset_at": {"lt": reset_at},
                        }
                    )
                    if response is not None and len(response) > 0:
                        for r in response:
                            if isinstance(r.expires, datetime):
                                r.expires = r.expires.isoformat()
                elif query_type == "find_all":
                    where_filter: dict = {}
                    if token is not None:
                        where_filter["token"] = {}
                        if isinstance(token, str):
                            token = _hash_token_if_needed(token=token)
                            where_filter["token"]["in"] = [token]
                        elif isinstance(token, list):
                            hashed_tokens = []
                            for t in token:
                                assert isinstance(t, str)
                                if t.startswith("sk-"):
                                    new_token = self.hash_token(token=t)
                                    hashed_tokens.append(new_token)
                                else:
                                    hashed_tokens.append(t)
                            where_filter["token"]["in"] = hashed_tokens
                    response = await self.db.litellm_verificationtoken.find_many(
                        order={"spend": "desc"},
                        where=where_filter,  # type: ignore
                        include={"litellm_budget_table": True},
                    )
                if response is not None:
                    return response
                else:
                    # Token does not exist.
                    raise HTTPException(
                        status_code=status.HTTP_401_UNAUTHORIZED,
                        detail="Authentication Error: invalid user key - token does not exist",
                    )
            elif (user_id is not None and table_name is None) or (
                table_name is not None and table_name == "user"
            ):
                if query_type == "find_unique":
                    if key_val is None:
                        key_val = {"user_id": user_id}
                    response = await self.db.litellm_usertable.find_unique(  # type: ignore
                        where=key_val  # type: ignore
                    )
                elif query_type == "find_all" and key_val is not None:
                    response = await self.db.litellm_usertable.find_many(
                        where=key_val  # type: ignore
                    )  # type: ignore
                elif query_type == "find_all" and reset_at is not None:
                    response = await self.db.litellm_usertable.find_many(
                        where={  # type:ignore
                            "budget_reset_at": {"lt": reset_at},
                        }
                    )
                elif query_type == "find_all" and user_id_list is not None:
                    response = await self.db.litellm_usertable.find_many(
                        where={"user_id": {"in": user_id_list}}
                    )
                elif query_type == "find_all":
                    if expires is not None:
                        response = await self.db.litellm_usertable.find_many(  # type: ignore
                            order={"spend": "desc"},
                            where={  # type:ignore
                                "OR": [
                                    {"expires": None},  # type:ignore
                                    {"expires": {"gt": expires}},  # type:ignore
                                ],
                            },
                        )
                    else:
                        # return all users in the table, get their key aliases ordered by spend
                        sql_query = """
                        SELECT
                            u.*,
                            json_agg(v.key_alias) AS key_aliases
                        FROM
                            "LiteLLM_UserTable" u
                        LEFT JOIN "LiteLLM_VerificationToken" v ON u.user_id = v.user_id
                        GROUP BY
                            u.user_id
                        ORDER BY u.spend DESC
                        LIMIT $1
                        OFFSET $2
                        """
                        response = await self.db.query_raw(sql_query, limit, offset)
                return response
            elif table_name == "spend":
                verbose_proxy_logger.debug(
                    "PrismaClient: get_data: table_name == 'spend'"
                )
                if key_val is not None:
                    if query_type == "find_unique":
                        response = await self.db.litellm_spendlogs.find_unique(  # type: ignore
                            where={  # type: ignore
                                key_val["key"]: key_val["value"],  # type: ignore
                            }
                        )
                    elif query_type == "find_all":
                        response = await self.db.litellm_spendlogs.find_many(  # type: ignore
                            where={
                                key_val["key"]: key_val["value"],  # type: ignore
                            }
                        )
                    return response
                else:
                    response = await self.db.litellm_spendlogs.find_many(  # type: ignore
                        order={"startTime": "desc"},
                    )
                    return response
            elif table_name == "team":
                if query_type == "find_unique":
                    response = await self.db.litellm_teamtable.find_unique(
                        where={"team_id": team_id},  # type: ignore
                        include={"litellm_model_table": True},  # type: ignore
                    )
                elif query_type == "find_all" and reset_at is not None:
                    response = await self.db.litellm_teamtable.find_many(
                        where={  # type:ignore
                            "budget_reset_at": {"lt": reset_at},
                        }
                    )
                elif query_type == "find_all" and user_id is not None:
                    response = await self.db.litellm_teamtable.find_many(
                        where={
                            "members": {"has": user_id},
                        },
                        include={"litellm_budget_table": True},
                    )
                elif query_type == "find_all" and team_id_list is not None:
                    response = await self.db.litellm_teamtable.find_many(
                        where={"team_id": {"in": team_id_list}}
                    )
                elif query_type == "find_all" and team_id_list is None:
                    response = await self.db.litellm_teamtable.find_many(take=20)
                return response
            elif table_name == "user_notification":
                if query_type == "find_unique":
                    response = await self.db.litellm_usernotifications.find_unique(  # type: ignore
                        where={"user_id": user_id}  # type: ignore
                    )
                elif query_type == "find_all":
                    response = await self.db.litellm_usernotifications.find_many()  # type: ignore
                return response
            elif table_name == "combined_view":
                # check if plain text or hash
                if token is not None:
                    if isinstance(token, str):
                        hashed_token = _hash_token_if_needed(token=token)
                        verbose_proxy_logger.debug(
                            f"PrismaClient: find_unique for token: {hashed_token}"
                        )
                if query_type == "find_unique":
                    if token is None:
                        raise HTTPException(
                            status_code=400,
                            detail={"error": f"No token passed in. Token={token}"},
                        )

                    sql_query = f"""
                        SELECT 
                            v.*,
                            t.spend AS team_spend, 
                            t.max_budget AS team_max_budget, 
                            t.tpm_limit AS team_tpm_limit,
                            t.rpm_limit AS team_rpm_limit,
                            t.models AS team_models,
                            t.metadata AS team_metadata,
                            t.blocked AS team_blocked,
                            t.team_alias AS team_alias,
                            t.metadata AS team_metadata,
                            t.members_with_roles AS team_members_with_roles,
                            t.organization_id as org_id,
                            tm.spend AS team_member_spend,
                            m.aliases AS team_model_aliases,
                            -- Added comma to separate b.* columns
                            b.max_budget AS litellm_budget_table_max_budget,
                            b.tpm_limit AS litellm_budget_table_tpm_limit,
                            b.rpm_limit AS litellm_budget_table_rpm_limit,
                            b.model_max_budget as litellm_budget_table_model_max_budget,
                            b.soft_budget as litellm_budget_table_soft_budget
                        FROM "LiteLLM_VerificationToken" AS v
                        LEFT JOIN "LiteLLM_TeamTable" AS t ON v.team_id = t.team_id
                        LEFT JOIN "LiteLLM_TeamMembership" AS tm ON v.team_id = tm.team_id AND tm.user_id = v.user_id
                        LEFT JOIN "LiteLLM_ModelTable" m ON t.model_id = m.id
                        LEFT JOIN "LiteLLM_BudgetTable" AS b ON v.budget_id = b.budget_id
                        WHERE v.token = '{token}'
                    """

                    print_verbose("sql_query being made={}".format(sql_query))
                    response = await self.db.query_first(query=sql_query)

                    if response is not None:
                        if response["team_models"] is None:
                            response["team_models"] = []
                        if response["team_blocked"] is None:
                            response["team_blocked"] = False

                        team_member: Optional[Member] = None
                        if (
                            response["team_members_with_roles"] is not None
                            and response["user_id"] is not None
                        ):
                            ## find the team member corresponding to user id
                            """
                            [
                                {
                                    "role": "admin",
                                    "user_id": "default_user_id",
                                    "user_email": null
                                },
                                {
                                    "role": "user",
                                    "user_id": null,
                                    "user_email": "test@email.com"
                                }
                            ]
                            """
                            for tm in response["team_members_with_roles"]:
                                if tm.get("user_id") is not None and response[
                                    "user_id"
                                ] == tm.get("user_id"):
                                    team_member = Member(**tm)
                        response["team_member"] = team_member
                        response = LiteLLM_VerificationTokenView(
                            **response, last_refreshed_at=time.time()
                        )
                        # for prisma we need to cast the expires time to str
                        if response.expires is not None and isinstance(
                            response.expires, datetime
                        ):
                            response.expires = response.expires.isoformat()
                    return response
        except Exception as e:
            import traceback

            prisma_query_info = f"LiteLLM Prisma Client Exception: Error with `get_data`. Args passed in: {args_passed_in}"
            error_msg = prisma_query_info + str(e)
            print_verbose(error_msg)
            error_traceback = error_msg + "\n" + traceback.format_exc()
            verbose_proxy_logger.debug(error_traceback)
            end_time = time.time()
            _duration = end_time - start_time

            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    call_type="get_data",
                    traceback_str=error_traceback,
                )
            )
            raise e

    def jsonify_team_object(self, db_data: dict):
        db_data = self.jsonify_object(data=db_data)
        if db_data.get("members_with_roles", None) is not None and isinstance(
            db_data["members_with_roles"], list
        ):
            db_data["members_with_roles"] = json.dumps(db_data["members_with_roles"])
        return db_data

    # Define a retrying strategy with exponential backoff
    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=3,  # maximum number of retries
        max_time=10,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    async def insert_data(  # noqa: PLR0915
        self,
        data: dict,
        table_name: Literal[
            "user", "key", "config", "spend", "team", "user_notification"
        ],
    ):
        """
        Add a key to the database. If it already exists, do nothing.
        """
        start_time = time.time()
        try:
            verbose_proxy_logger.debug("PrismaClient: insert_data: %s", data)
            if table_name == "key":
                token = data["token"]
                hashed_token = self.hash_token(token=token)
                db_data = self.jsonify_object(data=data)
                db_data["token"] = hashed_token
                print_verbose(
                    "PrismaClient: Before upsert into litellm_verificationtoken"
                )
                new_verification_token = await self.db.litellm_verificationtoken.upsert(  # type: ignore
                    where={
                        "token": hashed_token,
                    },
                    data={
                        "create": {**db_data},  # type: ignore
                        "update": {},  # don't do anything if it already exists
                    },
                    include={"litellm_budget_table": True},
                )
                verbose_proxy_logger.info("Data Inserted into Keys Table")
                return new_verification_token
            elif table_name == "user":
                db_data = self.jsonify_object(data=data)
                try:
                    new_user_row = await self.db.litellm_usertable.upsert(
                        where={"user_id": data["user_id"]},
                        data={
                            "create": {**db_data},  # type: ignore
                            "update": {},  # don't do anything if it already exists
                        },
                    )
                except Exception as e:
                    if (
                        "Foreign key constraint failed on the field: `LiteLLM_UserTable_organization_id_fkey (index)`"
                        in str(e)
                    ):
                        raise HTTPException(
                            status_code=400,
                            detail={
                                "error": f"Foreign Key Constraint failed. Organization ID={db_data['organization_id']} does not exist in LiteLLM_OrganizationTable. Create via `/organization/new`."
                            },
                        )
                    raise e
                verbose_proxy_logger.info("Data Inserted into User Table")
                return new_user_row
            elif table_name == "team":
                db_data = self.jsonify_object(data=data)
                if db_data.get("members_with_roles", None) is not None and isinstance(
                    db_data["members_with_roles"], list
                ):
                    db_data["members_with_roles"] = json.dumps(
                        db_data["members_with_roles"]
                    )
                new_team_row = await self.db.litellm_teamtable.upsert(
                    where={"team_id": data["team_id"]},
                    data={
                        "create": {**db_data},  # type: ignore
                        "update": {},  # don't do anything if it already exists
                    },
                )
                verbose_proxy_logger.info("Data Inserted into Team Table")
                return new_team_row
            elif table_name == "config":
                """
                For each param,
                get the existing table values

                Add the new values

                Update DB
                """
                tasks = []
                for k, v in data.items():
                    updated_data = v
                    updated_data = json.dumps(updated_data)
                    updated_table_row = self.db.litellm_config.upsert(
                        where={"param_name": k},  # type: ignore
                        data={
                            "create": {"param_name": k, "param_value": updated_data},  # type: ignore
                            "update": {"param_value": updated_data},
                        },
                    )

                    tasks.append(updated_table_row)
                await asyncio.gather(*tasks)
                verbose_proxy_logger.info("Data Inserted into Config Table")
            elif table_name == "spend":
                db_data = self.jsonify_object(data=data)
                new_spend_row = await self.db.litellm_spendlogs.upsert(
                    where={"request_id": data["request_id"]},
                    data={
                        "create": {**db_data},  # type: ignore
                        "update": {},  # don't do anything if it already exists
                    },
                )
                verbose_proxy_logger.info("Data Inserted into Spend Table")
                return new_spend_row
            elif table_name == "user_notification":
                db_data = self.jsonify_object(data=data)
                new_user_notification_row = (
                    await self.db.litellm_usernotifications.upsert(  # type: ignore
                        where={"request_id": data["request_id"]},
                        data={
                            "create": {**db_data},  # type: ignore
                            "update": {},  # don't do anything if it already exists
                        },
                    )
                )
                verbose_proxy_logger.info("Data Inserted into Model Request Table")
                return new_user_notification_row

        except Exception as e:
            import traceback

            error_msg = f"LiteLLM Prisma Client Exception in insert_data: {str(e)}"
            print_verbose(error_msg)
            error_traceback = error_msg + "\n" + traceback.format_exc()
            end_time = time.time()
            _duration = end_time - start_time
            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    call_type="insert_data",
                    traceback_str=error_traceback,
                )
            )
            raise e

    # Define a retrying strategy with exponential backoff
    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=3,  # maximum number of retries
        max_time=10,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    async def update_data(  # noqa: PLR0915
        self,
        token: Optional[str] = None,
        data: dict = {},
        data_list: Optional[List] = None,
        user_id: Optional[str] = None,
        team_id: Optional[str] = None,
        query_type: Literal["update", "update_many"] = "update",
        table_name: Optional[Literal["user", "key", "config", "spend", "team"]] = None,
        update_key_values: Optional[dict] = None,
        update_key_values_custom_query: Optional[dict] = None,
    ):
        """
        Update existing data
        """
        verbose_proxy_logger.debug(
            f"PrismaClient: update_data, table_name: {table_name}"
        )
        start_time = time.time()
        try:
            db_data = self.jsonify_object(data=data)
            if update_key_values is not None:
                update_key_values = self.jsonify_object(data=update_key_values)
            if token is not None:
                print_verbose(f"token: {token}")
                # check if plain text or hash
                token = _hash_token_if_needed(token=token)
                db_data["token"] = token
                response = await self.db.litellm_verificationtoken.update(
                    where={"token": token},  # type: ignore
                    data={**db_data},  # type: ignore
                )
                verbose_proxy_logger.debug(
                    "\033[91m"
                    + f"DB Token Table update succeeded {response}"
                    + "\033[0m"
                )
                _data: dict = {}
                if response is not None:
                    try:
                        _data = response.model_dump()  # type: ignore
                    except Exception:
                        _data = response.dict()
                return {"token": token, "data": _data}
            elif (
                user_id is not None
                or (table_name is not None and table_name == "user")
                and query_type == "update"
            ):
                """
                If data['spend'] + data['user'], update the user table with spend info as well
                """
                if user_id is None:
                    user_id = db_data["user_id"]
                if update_key_values is None:
                    if update_key_values_custom_query is not None:
                        update_key_values = update_key_values_custom_query
                    else:
                        update_key_values = db_data
                update_user_row = await self.db.litellm_usertable.upsert(
                    where={"user_id": user_id},  # type: ignore
                    data={
                        "create": {**db_data},  # type: ignore
                        "update": {
                            **update_key_values  # type: ignore
                        },  # just update user-specified values, if it already exists
                    },
                )
                verbose_proxy_logger.info(
                    "\033[91m"
                    + f"DB User Table - update succeeded {update_user_row}"
                    + "\033[0m"
                )
                return {"user_id": user_id, "data": update_user_row}
            elif (
                team_id is not None
                or (table_name is not None and table_name == "team")
                and query_type == "update"
            ):
                """
                If data['spend'] + data['user'], update the user table with spend info as well
                """
                if team_id is None:
                    team_id = db_data["team_id"]
                if update_key_values is None:
                    update_key_values = db_data
                if "team_id" not in db_data and team_id is not None:
                    db_data["team_id"] = team_id
                if "members_with_roles" in db_data and isinstance(
                    db_data["members_with_roles"], list
                ):
                    db_data["members_with_roles"] = json.dumps(
                        db_data["members_with_roles"]
                    )
                if "members_with_roles" in update_key_values and isinstance(
                    update_key_values["members_with_roles"], list
                ):
                    update_key_values["members_with_roles"] = json.dumps(
                        update_key_values["members_with_roles"]
                    )
                update_team_row = await self.db.litellm_teamtable.upsert(
                    where={"team_id": team_id},  # type: ignore
                    data={
                        "create": {**db_data},  # type: ignore
                        "update": {
                            **update_key_values  # type: ignore
                        },  # just update user-specified values, if it already exists
                    },
                )
                verbose_proxy_logger.info(
                    "\033[91m"
                    + f"DB Team Table - update succeeded {update_team_row}"
                    + "\033[0m"
                )
                return {"team_id": team_id, "data": update_team_row}
            elif (
                table_name is not None
                and table_name == "key"
                and query_type == "update_many"
                and data_list is not None
                and isinstance(data_list, list)
            ):
                """
                Batch write update queries
                """
                batcher = self.db.batch_()
                for idx, t in enumerate(data_list):
                    # check if plain text or hash
                    if t.token.startswith("sk-"):  # type: ignore
                        t.token = self.hash_token(token=t.token)  # type: ignore
                    try:
                        data_json = self.jsonify_object(
                            data=t.model_dump(exclude_none=True)
                        )
                    except Exception:
                        data_json = self.jsonify_object(data=t.dict(exclude_none=True))
                    batcher.litellm_verificationtoken.update(
                        where={"token": t.token},  # type: ignore
                        data={**data_json},  # type: ignore
                    )
                await batcher.commit()
                print_verbose(
                    "\033[91m" + "DB Token Table update succeeded" + "\033[0m"
                )
            elif (
                table_name is not None
                and table_name == "user"
                and query_type == "update_many"
                and data_list is not None
                and isinstance(data_list, list)
            ):
                """
                Batch write update queries
                """
                batcher = self.db.batch_()
                for idx, user in enumerate(data_list):
                    try:
                        data_json = self.jsonify_object(
                            data=user.model_dump(exclude_none=True)
                        )
                    except Exception:
                        data_json = self.jsonify_object(data=user.dict())
                    batcher.litellm_usertable.upsert(
                        where={"user_id": user.user_id},  # type: ignore
                        data={
                            "create": {**data_json},  # type: ignore
                            "update": {
                                **data_json  # type: ignore
                            },  # just update user-specified values, if it already exists
                        },
                    )
                await batcher.commit()
                verbose_proxy_logger.info(
                    "\033[91m" + "DB User Table Batch update succeeded" + "\033[0m"
                )
            elif (
                table_name is not None
                and table_name == "team"
                and query_type == "update_many"
                and data_list is not None
                and isinstance(data_list, list)
            ):
                # Batch write update queries
                batcher = self.db.batch_()
                for idx, team in enumerate(data_list):
                    try:
                        data_json = self.jsonify_object(
                            data=team.model_dump(exclude_none=True)
                        )
                    except Exception:
                        data_json = self.jsonify_object(
                            data=team.dict(exclude_none=True)
                        )
                    batcher.litellm_teamtable.upsert(
                        where={"team_id": team.team_id},  # type: ignore
                        data={
                            "create": {**data_json},  # type: ignore
                            "update": {
                                **data_json  # type: ignore
                            },  # just update user-specified values, if it already exists
                        },
                    )
                await batcher.commit()
                verbose_proxy_logger.info(
                    "\033[91m" + "DB Team Table Batch update succeeded" + "\033[0m"
                )

        except Exception as e:
            import traceback

            error_msg = f"LiteLLM Prisma Client Exception - update_data: {str(e)}"
            print_verbose(error_msg)
            error_traceback = error_msg + "\n" + traceback.format_exc()
            end_time = time.time()
            _duration = end_time - start_time
            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    call_type="update_data",
                    traceback_str=error_traceback,
                )
            )
            raise e

    # Define a retrying strategy with exponential backoff
    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=3,  # maximum number of retries
        max_time=10,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    async def delete_data(
        self,
        tokens: Optional[List] = None,
        team_id_list: Optional[List] = None,
        table_name: Optional[Literal["user", "key", "config", "spend", "team"]] = None,
        user_id: Optional[str] = None,
    ):
        """
        Allow user to delete a key(s)

        Ensure user owns that key, unless admin.
        """
        start_time = time.time()
        try:
            if tokens is not None and isinstance(tokens, List):
                hashed_tokens = []
                for token in tokens:
                    if isinstance(token, str) and token.startswith("sk-"):
                        hashed_token = self.hash_token(token=token)
                    else:
                        hashed_token = token
                    hashed_tokens.append(hashed_token)
                filter_query: dict = {}
                if user_id is not None:
                    filter_query = {
                        "AND": [{"token": {"in": hashed_tokens}}, {"user_id": user_id}]
                    }
                else:
                    filter_query = {"token": {"in": hashed_tokens}}

                deleted_tokens = await self.db.litellm_verificationtoken.delete_many(
                    where=filter_query  # type: ignore
                )
                verbose_proxy_logger.debug("deleted_tokens: %s", deleted_tokens)
                return {"deleted_keys": deleted_tokens}
            elif (
                table_name == "team"
                and team_id_list is not None
                and isinstance(team_id_list, List)
            ):
                # admin only endpoint -> `/team/delete`
                await self.db.litellm_teamtable.delete_many(
                    where={"team_id": {"in": team_id_list}}
                )
                return {"deleted_teams": team_id_list}
            elif (
                table_name == "key"
                and team_id_list is not None
                and isinstance(team_id_list, List)
            ):
                # admin only endpoint -> `/team/delete`
                await self.db.litellm_verificationtoken.delete_many(
                    where={"team_id": {"in": team_id_list}}
                )
        except Exception as e:
            import traceback

            error_msg = f"LiteLLM Prisma Client Exception - delete_data: {str(e)}"
            print_verbose(error_msg)
            error_traceback = error_msg + "\n" + traceback.format_exc()
            end_time = time.time()
            _duration = end_time - start_time
            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    call_type="delete_data",
                    traceback_str=error_traceback,
                )
            )
            raise e

    # Define a retrying strategy with exponential backoff
    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=3,  # maximum number of retries
        max_time=10,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    async def connect(self):
        start_time = time.time()
        try:
            verbose_proxy_logger.debug(
                "PrismaClient: connect() called Attempting to Connect to DB"
            )
            if self.db.is_connected() is False:
                verbose_proxy_logger.debug(
                    "PrismaClient: DB not connected, Attempting to Connect to DB"
                )
                await self.db.connect()
        except Exception as e:
            import traceback

            error_msg = f"LiteLLM Prisma Client Exception connect(): {str(e)}"
            print_verbose(error_msg)
            error_traceback = error_msg + "\n" + traceback.format_exc()
            end_time = time.time()
            _duration = end_time - start_time
            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    call_type="connect",
                    traceback_str=error_traceback,
                )
            )
            raise e

    # Define a retrying strategy with exponential backoff
    @backoff.on_exception(
        backoff.expo,
        Exception,  # base exception to catch for the backoff
        max_tries=3,  # maximum number of retries
        max_time=10,  # maximum total time to retry for
        on_backoff=on_backoff,  # specifying the function to call on backoff
    )
    async def disconnect(self):
        start_time = time.time()
        try:
            await self.db.disconnect()
        except Exception as e:
            import traceback

            error_msg = f"LiteLLM Prisma Client Exception disconnect(): {str(e)}"
            print_verbose(error_msg)
            error_traceback = error_msg + "\n" + traceback.format_exc()
            end_time = time.time()
            _duration = end_time - start_time
            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    call_type="disconnect",
                    traceback_str=error_traceback,
                )
            )
            raise e

    async def health_check(self):
        """
        Health check endpoint for the prisma client
        """
        start_time = time.time()
        try:
            sql_query = "SELECT 1"

            # Execute the raw query
            # The asterisk before `user_id_list` unpacks the list into separate arguments
            response = await self.db.query_raw(sql_query)
            return response
        except Exception as e:
            import traceback

            error_msg = f"LiteLLM Prisma Client Exception disconnect(): {str(e)}"
            print_verbose(error_msg)
            error_traceback = error_msg + "\n" + traceback.format_exc()
            end_time = time.time()
            _duration = end_time - start_time
            asyncio.create_task(
                self.proxy_logging_obj.failure_handler(
                    original_exception=e,
                    duration=_duration,
                    call_type="health_check",
                    traceback_str=error_traceback,
                )
            )
            raise e

    async def _get_spend_logs_row_count(self) -> int:
        try:
            sql_query = """
            SELECT reltuples::BIGINT
            FROM pg_class
            WHERE oid = '"LiteLLM_SpendLogs"'::regclass;
            """
            result = await self.db.query_raw(query=sql_query)
            return result[0]["reltuples"]
        except Exception as e:
            verbose_proxy_logger.error(
                f"Error getting LiteLLM_SpendLogs row count: {e}"
            )
            return 0

    async def _set_spend_logs_row_count_in_proxy_state(self) -> None:
        """
        Set the `LiteLLM_SpendLogs`row count in proxy state.

        This is used later to determine if we should run expensive UI Usage queries.
        """
        from litellm.proxy.proxy_server import proxy_state

        _num_spend_logs_rows = await self._get_spend_logs_row_count()
        proxy_state.set_proxy_state_variable(
            variable_name="spend_logs_row_count",
            value=_num_spend_logs_rows,
        )


### CUSTOM FILE ###
def get_instance_fn(value: str, config_file_path: Optional[str] = None) -> Any:
    module_name = value
    instance_name = None
    try:
        # Split the path by dots to separate module from instance
        parts = value.split(".")

        # The module path is all but the last part, and the instance_name is the last part
        module_name = ".".join(parts[:-1])
        instance_name = parts[-1]

        # If config_file_path is provided, use it to determine the module spec and load the module
        if config_file_path is not None:
            directory = os.path.dirname(config_file_path)
            module_file_path = os.path.join(directory, *module_name.split("."))
            module_file_path += ".py"

            spec = importlib.util.spec_from_file_location(module_name, module_file_path)  # type: ignore
            if spec is None:
                raise ImportError(
                    f"Could not find a module specification for {module_file_path}"
                )
            module = importlib.util.module_from_spec(spec)  # type: ignore
            spec.loader.exec_module(module)  # type: ignore
        else:
            # Dynamically import the module
            module = importlib.import_module(module_name)

        # Get the instance from the module
        instance = getattr(module, instance_name)

        return instance
    except ImportError as e:
        # Re-raise the exception with a user-friendly message
        if instance_name and module_name:
            raise ImportError(
                f"Could not import {instance_name} from {module_name}"
            ) from e
        else:
            raise e
    except Exception as e:
        raise e


### HELPER FUNCTIONS ###
async def _cache_user_row(user_id: str, cache: DualCache, db: PrismaClient):
    """
    Check if a user_id exists in cache,
    if not retrieve it.
    """
    cache_key = f"{user_id}_user_api_key_user_id"
    response = cache.get_cache(key=cache_key)
    if response is None:  # Cache miss
        user_row = await db.get_data(user_id=user_id)
        if user_row is not None:
            print_verbose(f"User Row: {user_row}, type = {type(user_row)}")
            if hasattr(user_row, "model_dump_json") and callable(
                getattr(user_row, "model_dump_json")
            ):
                cache_value = user_row.model_dump_json()
                cache.set_cache(
                    key=cache_key, value=cache_value, ttl=600
                )  # store for 10 minutes
    return


async def send_email(receiver_email, subject, html):
    """
    smtp_host,
    smtp_port,
    smtp_username,
    smtp_password,
    sender_name,
    sender_email,
    """
    ## SERVER SETUP ##

    smtp_host = os.getenv("SMTP_HOST")
    smtp_port = int(os.getenv("SMTP_PORT", "587"))  # default to port 587
    smtp_username = os.getenv("SMTP_USERNAME")
    smtp_password = os.getenv("SMTP_PASSWORD")
    sender_email = os.getenv("SMTP_SENDER_EMAIL", None)
    if sender_email is None:
        raise ValueError("Trying to use SMTP, but SMTP_SENDER_EMAIL is not set")

    ## EMAIL SETUP ##
    email_message = MIMEMultipart()
    email_message["From"] = sender_email
    email_message["To"] = receiver_email
    email_message["Subject"] = subject
    verbose_proxy_logger.debug(
        "sending email from %s to %s", sender_email, receiver_email
    )

    if smtp_host is None:
        raise ValueError("Trying to use SMTP, but SMTP_HOST is not set")

    if smtp_username is None:
        raise ValueError("Trying to use SMTP, but SMTP_USERNAME is not set")

    if smtp_password is None:
        raise ValueError("Trying to use SMTP, but SMTP_PASSWORD is not set")

    # Attach the body to the email
    email_message.attach(MIMEText(html, "html"))

    try:
        # Establish a secure connection with the SMTP server
        with smtplib.SMTP(smtp_host, smtp_port) as server:  # type: ignore
            if os.getenv("SMTP_TLS", "True") != "False":
                server.starttls()

            # Login to your email account
            server.login(smtp_username, smtp_password)  # type: ignore

            # Send the email
            server.send_message(email_message)

    except Exception as e:
        print_verbose("An error occurred while sending the email:" + str(e))


def hash_token(token: str):
    import hashlib

    # Hash the string using SHA-256
    hashed_token = hashlib.sha256(token.encode()).hexdigest()

    return hashed_token


def _hash_token_if_needed(token: str) -> str:
    """
    Hash the token if it's a string and starts with "sk-"

    Else return the token as is
    """
    if token.startswith("sk-"):
        return hash_token(token=token)
    else:
        return token


async def reset_budget(prisma_client: PrismaClient):
    """
    Gets all the non-expired keys for a db, which need spend to be reset

    Resets their spend

    Updates db
    """
    if prisma_client is not None:
        ### RESET KEY BUDGET ###
        now = datetime.utcnow()
        keys_to_reset = await prisma_client.get_data(
            table_name="key", query_type="find_all", expires=now, reset_at=now
        )

        if keys_to_reset is not None and len(keys_to_reset) > 0:
            for key in keys_to_reset:
                key.spend = 0.0
                duration_s = duration_in_seconds(duration=key.budget_duration)
                key.budget_reset_at = now + timedelta(seconds=duration_s)

            await prisma_client.update_data(
                query_type="update_many", data_list=keys_to_reset, table_name="key"
            )

        ### RESET USER BUDGET ###
        now = datetime.utcnow()
        users_to_reset = await prisma_client.get_data(
            table_name="user", query_type="find_all", reset_at=now
        )

        if users_to_reset is not None and len(users_to_reset) > 0:
            for user in users_to_reset:
                user.spend = 0.0
                duration_s = duration_in_seconds(duration=user.budget_duration)
                user.budget_reset_at = now + timedelta(seconds=duration_s)

            await prisma_client.update_data(
                query_type="update_many", data_list=users_to_reset, table_name="user"
            )

        ## Reset Team Budget
        now = datetime.utcnow()
        teams_to_reset = await prisma_client.get_data(
            table_name="team",
            query_type="find_all",
            reset_at=now,
        )

        if teams_to_reset is not None and len(teams_to_reset) > 0:
            team_reset_requests = []
            for team in teams_to_reset:
                duration_s = duration_in_seconds(duration=team.budget_duration)
                reset_team_budget_request = ResetTeamBudgetRequest(
                    team_id=team.team_id,
                    spend=0.0,
                    budget_reset_at=now + timedelta(seconds=duration_s),
                    updated_at=now,
                )
                team_reset_requests.append(reset_team_budget_request)
            await prisma_client.update_data(
                query_type="update_many",
                data_list=team_reset_requests,
                table_name="team",
            )


class ProxyUpdateSpend:
    @staticmethod
    async def update_end_user_spend(
        n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging
    ):
        for i in range(n_retry_times + 1):
            start_time = time.time()
            try:
                async with prisma_client.db.tx(
                    timeout=timedelta(seconds=60)
                ) as transaction:
                    async with transaction.batch_() as batcher:
                        for (
                            end_user_id,
                            response_cost,
                        ) in prisma_client.end_user_list_transactons.items():
                            if litellm.max_end_user_budget is not None:
                                pass
                            batcher.litellm_endusertable.upsert(
                                where={"user_id": end_user_id},
                                data={
                                    "create": {
                                        "user_id": end_user_id,
                                        "spend": response_cost,
                                        "blocked": False,
                                    },
                                    "update": {"spend": {"increment": response_cost}},
                                },
                            )

                break
            except DB_CONNECTION_ERROR_TYPES as e:
                if i >= n_retry_times:  # If we've reached the maximum number of retries
                    _raise_failed_update_spend_exception(
                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                    )
                # Optionally, sleep for a bit before retrying
                await asyncio.sleep(2**i)  # Exponential backoff
            except Exception as e:
                _raise_failed_update_spend_exception(
                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                )
            finally:
                prisma_client.end_user_list_transactons = (
                    {}
                )  # reset the end user list transactions - prevent bad data from causing issues

    @staticmethod
    async def update_spend_logs(
        n_retry_times: int,
        prisma_client: PrismaClient,
        db_writer_client: Optional[HTTPHandler],
        proxy_logging_obj: ProxyLogging,
    ):
        BATCH_SIZE = 100  # Preferred size of each batch to write to the database
        MAX_LOGS_PER_INTERVAL = (
            1000  # Maximum number of logs to flush in a single interval
        )
        # Get initial logs to process
        logs_to_process = prisma_client.spend_log_transactions[:MAX_LOGS_PER_INTERVAL]
        start_time = time.time()
        try:
            for i in range(n_retry_times + 1):
                try:
                    base_url = os.getenv("SPEND_LOGS_URL", None)
                    if (
                        len(logs_to_process) > 0
                        and base_url is not None
                        and db_writer_client is not None
                    ):
                        if not base_url.endswith("/"):
                            base_url += "/"
                        verbose_proxy_logger.debug("base_url: {}".format(base_url))
                        response = await db_writer_client.post(
                            url=base_url + "spend/update",
                            data=json.dumps(logs_to_process),
                            headers={"Content-Type": "application/json"},
                        )
                        if response.status_code == 200:
                            prisma_client.spend_log_transactions = (
                                prisma_client.spend_log_transactions[
                                    len(logs_to_process) :
                                ]
                            )
                    else:
                        for j in range(0, len(logs_to_process), BATCH_SIZE):
                            batch = logs_to_process[j : j + BATCH_SIZE]
                            batch_with_dates = [
                                prisma_client.jsonify_object({**entry})
                                for entry in batch
                            ]
                            await prisma_client.db.litellm_spendlogs.create_many(
                                data=batch_with_dates, skip_duplicates=True
                            )
                            verbose_proxy_logger.debug(
                                f"Flushed {len(batch)} logs to the DB."
                            )

                        prisma_client.spend_log_transactions = (
                            prisma_client.spend_log_transactions[len(logs_to_process) :]
                        )
                        verbose_proxy_logger.debug(
                            f"{len(logs_to_process)} logs processed. Remaining in queue: {len(prisma_client.spend_log_transactions)}"
                        )
                    break
                except DB_CONNECTION_ERROR_TYPES:
                    if i is None:
                        i = 0
                    if i >= n_retry_times:
                        raise
                    await asyncio.sleep(2**i)
        except Exception as e:
            prisma_client.spend_log_transactions = prisma_client.spend_log_transactions[
                len(logs_to_process) :
            ]
            _raise_failed_update_spend_exception(
                e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
            )


async def update_spend(  # noqa: PLR0915
    prisma_client: PrismaClient,
    db_writer_client: Optional[HTTPHandler],
    proxy_logging_obj: ProxyLogging,
):
    """
    Batch write updates to db.

    Triggered every minute.

    Requires:
    user_id_list: dict,
    keys_list: list,
    team_list: list,
    spend_logs: list,
    """
    n_retry_times = 3
    i = None
    ### UPDATE USER TABLE ###
    if len(prisma_client.user_list_transactons.keys()) > 0:
        for i in range(n_retry_times + 1):
            start_time = time.time()
            try:
                async with prisma_client.db.tx(
                    timeout=timedelta(seconds=60)
                ) as transaction:
                    async with transaction.batch_() as batcher:
                        for (
                            user_id,
                            response_cost,
                        ) in prisma_client.user_list_transactons.items():
                            batcher.litellm_usertable.update_many(
                                where={"user_id": user_id},
                                data={"spend": {"increment": response_cost}},
                            )
                prisma_client.user_list_transactons = (
                    {}
                )  # Clear the remaining transactions after processing all batches in the loop.
                break
            except DB_CONNECTION_ERROR_TYPES as e:
                if i >= n_retry_times:  # If we've reached the maximum number of retries
                    _raise_failed_update_spend_exception(
                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                    )
                # Optionally, sleep for a bit before retrying
                await asyncio.sleep(2**i)  # Exponential backoff
            except Exception as e:
                _raise_failed_update_spend_exception(
                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                )

    ### UPDATE END-USER TABLE ###
    verbose_proxy_logger.debug(
        "End-User Spend transactions: {}".format(
            len(prisma_client.end_user_list_transactons.keys())
        )
    )
    if len(prisma_client.end_user_list_transactons.keys()) > 0:
        await ProxyUpdateSpend.update_end_user_spend(
            n_retry_times=n_retry_times,
            prisma_client=prisma_client,
            proxy_logging_obj=proxy_logging_obj,
        )
    ### UPDATE KEY TABLE ###
    verbose_proxy_logger.debug(
        "KEY Spend transactions: {}".format(
            len(prisma_client.key_list_transactons.keys())
        )
    )
    if len(prisma_client.key_list_transactons.keys()) > 0:
        for i in range(n_retry_times + 1):
            start_time = time.time()
            try:
                async with prisma_client.db.tx(
                    timeout=timedelta(seconds=60)
                ) as transaction:
                    async with transaction.batch_() as batcher:
                        for (
                            token,
                            response_cost,
                        ) in prisma_client.key_list_transactons.items():
                            batcher.litellm_verificationtoken.update_many(  # 'update_many' prevents error from being raised if no row exists
                                where={"token": token},
                                data={"spend": {"increment": response_cost}},
                            )
                prisma_client.key_list_transactons = (
                    {}
                )  # Clear the remaining transactions after processing all batches in the loop.
                break
            except DB_CONNECTION_ERROR_TYPES as e:
                if i >= n_retry_times:  # If we've reached the maximum number of retries
                    _raise_failed_update_spend_exception(
                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                    )
                # Optionally, sleep for a bit before retrying
                await asyncio.sleep(2**i)  # Exponential backoff
            except Exception as e:
                _raise_failed_update_spend_exception(
                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                )

    ### UPDATE TEAM TABLE ###
    verbose_proxy_logger.debug(
        "Team Spend transactions: {}".format(
            len(prisma_client.team_list_transactons.keys())
        )
    )
    if len(prisma_client.team_list_transactons.keys()) > 0:
        for i in range(n_retry_times + 1):
            start_time = time.time()
            try:
                async with prisma_client.db.tx(
                    timeout=timedelta(seconds=60)
                ) as transaction:
                    async with transaction.batch_() as batcher:
                        for (
                            team_id,
                            response_cost,
                        ) in prisma_client.team_list_transactons.items():
                            verbose_proxy_logger.debug(
                                "Updating spend for team id={} by {}".format(
                                    team_id, response_cost
                                )
                            )
                            batcher.litellm_teamtable.update_many(  # 'update_many' prevents error from being raised if no row exists
                                where={"team_id": team_id},
                                data={"spend": {"increment": response_cost}},
                            )
                prisma_client.team_list_transactons = (
                    {}
                )  # Clear the remaining transactions after processing all batches in the loop.
                break
            except DB_CONNECTION_ERROR_TYPES as e:
                if i >= n_retry_times:  # If we've reached the maximum number of retries
                    _raise_failed_update_spend_exception(
                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                    )
                # Optionally, sleep for a bit before retrying
                await asyncio.sleep(2**i)  # Exponential backoff
            except Exception as e:
                _raise_failed_update_spend_exception(
                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                )

    ### UPDATE TEAM Membership TABLE with spend ###
    if len(prisma_client.team_member_list_transactons.keys()) > 0:
        for i in range(n_retry_times + 1):
            start_time = time.time()
            try:
                async with prisma_client.db.tx(
                    timeout=timedelta(seconds=60)
                ) as transaction:
                    async with transaction.batch_() as batcher:
                        for (
                            key,
                            response_cost,
                        ) in prisma_client.team_member_list_transactons.items():
                            # key is "team_id::<value>::user_id::<value>"
                            team_id = key.split("::")[1]
                            user_id = key.split("::")[3]

                            batcher.litellm_teammembership.update_many(  # 'update_many' prevents error from being raised if no row exists
                                where={"team_id": team_id, "user_id": user_id},
                                data={"spend": {"increment": response_cost}},
                            )
                prisma_client.team_member_list_transactons = (
                    {}
                )  # Clear the remaining transactions after processing all batches in the loop.
                break
            except DB_CONNECTION_ERROR_TYPES as e:
                if i >= n_retry_times:  # If we've reached the maximum number of retries
                    _raise_failed_update_spend_exception(
                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                    )
                # Optionally, sleep for a bit before retrying
                await asyncio.sleep(2**i)  # Exponential backoff
            except Exception as e:
                _raise_failed_update_spend_exception(
                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                )

    ### UPDATE ORG TABLE ###
    if len(prisma_client.org_list_transactons.keys()) > 0:
        for i in range(n_retry_times + 1):
            start_time = time.time()
            try:
                async with prisma_client.db.tx(
                    timeout=timedelta(seconds=60)
                ) as transaction:
                    async with transaction.batch_() as batcher:
                        for (
                            org_id,
                            response_cost,
                        ) in prisma_client.org_list_transactons.items():
                            batcher.litellm_organizationtable.update_many(  # 'update_many' prevents error from being raised if no row exists
                                where={"organization_id": org_id},
                                data={"spend": {"increment": response_cost}},
                            )
                prisma_client.org_list_transactons = (
                    {}
                )  # Clear the remaining transactions after processing all batches in the loop.
                break
            except DB_CONNECTION_ERROR_TYPES as e:
                if i >= n_retry_times:  # If we've reached the maximum number of retries
                    _raise_failed_update_spend_exception(
                        e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                    )
                # Optionally, sleep for a bit before retrying
                await asyncio.sleep(2**i)  # Exponential backoff
            except Exception as e:
                _raise_failed_update_spend_exception(
                    e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj
                )

    ### UPDATE SPEND LOGS ###
    verbose_proxy_logger.debug(
        "Spend Logs transactions: {}".format(len(prisma_client.spend_log_transactions))
    )

    if len(prisma_client.spend_log_transactions) > 0:
        await ProxyUpdateSpend.update_spend_logs(
            n_retry_times=n_retry_times,
            prisma_client=prisma_client,
            proxy_logging_obj=proxy_logging_obj,
            db_writer_client=db_writer_client,
        )


def _raise_failed_update_spend_exception(
    e: Exception, start_time: float, proxy_logging_obj: ProxyLogging
):
    """
    Raise an exception for failed update spend logs

    - Calls proxy_logging_obj.failure_handler to log the error
    - Ensures error messages says "Non-Blocking"
    """
    import traceback

    error_msg = (
        f"[Non-Blocking]LiteLLM Prisma Client Exception - update spend logs: {str(e)}"
    )
    error_traceback = error_msg + "\n" + traceback.format_exc()
    end_time = time.time()
    _duration = end_time - start_time
    asyncio.create_task(
        proxy_logging_obj.failure_handler(
            original_exception=e,
            duration=_duration,
            call_type="update_spend",
            traceback_str=error_traceback,
        )
    )
    raise e


def _is_projected_spend_over_limit(
    current_spend: float, soft_budget_limit: Optional[float]
):
    from datetime import date

    if soft_budget_limit is None:
        # If there's no limit, we can't exceed it.
        return False

    today = date.today()

    # Finding the first day of the next month, then subtracting one day to get the end of the current month.
    if today.month == 12:  # December edge case
        end_month = date(today.year + 1, 1, 1) - timedelta(days=1)
    else:
        end_month = date(today.year, today.month + 1, 1) - timedelta(days=1)

    remaining_days = (end_month - today).days

    # Check for the start of the month to avoid division by zero
    if today.day == 1:
        daily_spend_estimate = current_spend
    else:
        daily_spend_estimate = current_spend / (today.day - 1)

    # Total projected spend for the month
    projected_spend = current_spend + (daily_spend_estimate * remaining_days)

    if projected_spend > soft_budget_limit:
        print_verbose("Projected spend exceeds soft budget limit!")
        return True
    return False


def _get_projected_spend_over_limit(
    current_spend: float, soft_budget_limit: Optional[float]
) -> Optional[tuple]:
    import datetime

    if soft_budget_limit is None:
        return None

    today = datetime.date.today()
    end_month = datetime.date(today.year, today.month + 1, 1) - datetime.timedelta(
        days=1
    )
    remaining_days = (end_month - today).days

    daily_spend = current_spend / (
        today.day - 1
    )  # assuming the current spend till today (not including today)
    projected_spend = daily_spend * remaining_days

    if projected_spend > soft_budget_limit:
        approx_days = soft_budget_limit / daily_spend
        limit_exceed_date = today + datetime.timedelta(days=approx_days)

        # return the projected spend and the date it will exceeded
        return projected_spend, limit_exceed_date

    return None


def _is_valid_team_configs(team_id=None, team_config=None, request_data=None):
    if team_id is None or team_config is None or request_data is None:
        return
    # check if valid model called for team
    if "models" in team_config:
        valid_models = team_config.pop("models")
        model_in_request = request_data["model"]
        if model_in_request not in valid_models:
            raise Exception(
                f"Invalid model for team {team_id}: {model_in_request}.  Valid models for team are: {valid_models}\n"
            )
    return


def _to_ns(dt):
    return int(dt.timestamp() * 1e9)


def get_error_message_str(e: Exception) -> str:
    error_message = ""
    if isinstance(e, HTTPException):
        if isinstance(e.detail, str):
            error_message = e.detail
        elif isinstance(e.detail, dict):
            error_message = json.dumps(e.detail)
        elif hasattr(e, "message"):
            _error = getattr(e, "message", None)
            if isinstance(_error, str):
                error_message = _error
            elif isinstance(_error, dict):
                error_message = json.dumps(_error)
        else:
            error_message = str(e)
    else:
        error_message = str(e)
    return error_message


def _get_redoc_url() -> str:
    """
    Get the redoc URL from the environment variables.

    - If REDOC_URL is set, return it.
    - Otherwise, default to "/redoc".
    """
    return os.getenv("REDOC_URL", "/redoc")


def _get_docs_url() -> Optional[str]:
    """
    Get the docs URL from the environment variables.

    - If DOCS_URL is set, return it.
    - If NO_DOCS is True, return None.
    - Otherwise, default to "/".
    """
    docs_url = os.getenv("DOCS_URL", None)
    if docs_url:
        return docs_url

    if os.getenv("NO_DOCS", "False") == "True":
        return None

    # default to "/"
    return "/"


def handle_exception_on_proxy(e: Exception) -> ProxyException:
    """
    Returns an Exception as ProxyException, this ensures all exceptions are OpenAI API compatible
    """
    from fastapi import status

    if isinstance(e, HTTPException):
        return ProxyException(
            message=getattr(e, "detail", f"error({str(e)})"),
            type=ProxyErrorTypes.internal_server_error,
            param=getattr(e, "param", "None"),
            code=getattr(e, "status_code", status.HTTP_500_INTERNAL_SERVER_ERROR),
        )
    elif isinstance(e, ProxyException):
        return e
    return ProxyException(
        message="Internal Server Error, " + str(e),
        type=ProxyErrorTypes.internal_server_error,
        param=getattr(e, "param", "None"),
        code=status.HTTP_500_INTERNAL_SERVER_ERROR,
    )


def _premium_user_check():
    """
    Raises an HTTPException if the user is not a premium user
    """
    from litellm.proxy.proxy_server import premium_user

    if not premium_user:
        raise HTTPException(
            status_code=403,
            detail={
                "error": f"This feature is only available for LiteLLM Enterprise users. {CommonProxyErrors.not_premium_user.value}"
            },
        )