Files
recipes/cookbook/helper/ai_helper.py
2025-09-22 08:21:26 +02:00

86 lines
2.8 KiB
Python

from decimal import Decimal
from django.utils import timezone
from django.db.models import Sum
from litellm import CustomLogger
from cookbook.models import AiLog
from recipes import settings
def get_monthly_token_usage(space):
"""
returns the number of credits the space has used in the current month
"""
token_usage = AiLog.objects.filter(space=space, credits_from_balance=False, created_at__month=timezone.now().month).aggregate(Sum('credit_cost'))['credit_cost__sum']
if token_usage is None:
token_usage = 0
return token_usage
def has_monthly_token(space):
"""
checks if the monthly credit limit has been exceeded
"""
return get_monthly_token_usage(space) < space.ai_credits_monthly
def can_perform_ai_request(space):
return (has_monthly_token(space) or space.ai_credits_balance > 0) and space.ai_enabled
class AiCallbackHandler(CustomLogger):
space = None
user = None
ai_provider = None
function = None
def __init__(self, space, user, ai_provider, function):
super().__init__()
self.space = space
self.user = user
self.ai_provider = ai_provider
self.function = function
def log_pre_api_call(self, model, messages, kwargs):
pass
def log_post_api_call(self, kwargs, response_obj, start_time, end_time):
pass
def log_success_event(self, kwargs, response_obj, start_time, end_time):
self.create_ai_log(kwargs, response_obj, start_time, end_time)
def log_failure_event(self, kwargs, response_obj, start_time, end_time):
self.create_ai_log(kwargs, response_obj, start_time, end_time)
def create_ai_log(self, kwargs, response_obj, start_time, end_time):
credit_cost = 0
credits_from_balance = False
if self.ai_provider.log_credit_cost:
credit_cost = kwargs.get("response_cost", 0) * 100
if (not has_monthly_token(self.space)) and self.space.ai_credits_balance > 0:
remaining_balance = self.space.ai_credits_balance - Decimal(str(credit_cost))
if remaining_balance < 0:
remaining_balance = 0
if settings.HOSTED and self.space.ai_credits_monthly == 0:
self.space.ai_enabled = False
self.space.ai_credits_balance = remaining_balance
credits_from_balance = True
self.space.save()
AiLog.objects.create(
created_by=self.user,
space=self.space,
ai_provider=self.ai_provider,
start_time=start_time,
end_time=end_time,
input_tokens=response_obj['usage']['prompt_tokens'],
output_tokens=response_obj['usage']['completion_tokens'],
function=self.function,
credit_cost=credit_cost,
credits_from_balance=credits_from_balance,
)