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chore(api, billing, llm): update worker count, refine billing tier names, and adjust logging in LLM API calls

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sharath 2025-06-27 15:12:58 +00:00
parent 46f42cd7ce
commit e98ab052f9
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3 changed files with 10 additions and 9 deletions
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2
backend/api.py
View File

@ -200,7 +200,7 @@ if __name__ == "__main__":
if sys.platform == "win32":
asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())
workers = 1
workers = 4
logger.info(f"Starting server on 0.0.0.0:8000 with {workers} workers")
uvicorn.run(

14
backend/services/billing.py
View File

@ -80,13 +80,13 @@ SUBSCRIPTION_TIERS = {
config.STRIPE_TIER_125_800_ID: {'name': 'tier_125_800', 'minutes': 7500, 'cost': 800}, # 125 hours
config.STRIPE_TIER_200_1000_ID: {'name': 'tier_200_1000', 'minutes': 12000, 'cost': 1000}, # 200 hours
# Yearly tiers (same usage limits, different billing period)
config.STRIPE_TIER_2_20_YEARLY_ID: {'name': 'tier_2_20_yearly', 'minutes': 120, 'cost': 20}, # 2 hours/month, $204/year
config.STRIPE_TIER_6_50_YEARLY_ID: {'name': 'tier_6_50_yearly', 'minutes': 360, 'cost': 50}, # 6 hours/month, $510/year
config.STRIPE_TIER_12_100_YEARLY_ID: {'name': 'tier_12_100_yearly', 'minutes': 720, 'cost': 100}, # 12 hours/month, $1020/year
config.STRIPE_TIER_25_200_YEARLY_ID: {'name': 'tier_25_200_yearly', 'minutes': 1500, 'cost': 200}, # 25 hours/month, $2040/year
config.STRIPE_TIER_50_400_YEARLY_ID: {'name': 'tier_50_400_yearly', 'minutes': 3000, 'cost': 400}, # 50 hours/month, $4080/year
config.STRIPE_TIER_125_800_YEARLY_ID: {'name': 'tier_125_800_yearly', 'minutes': 7500, 'cost': 800}, # 125 hours/month, $8160/year
config.STRIPE_TIER_200_1000_YEARLY_ID: {'name': 'tier_200_1000_yearly', 'minutes': 12000, 'cost': 1000}, # 200 hours/month, $10200/year
config.STRIPE_TIER_2_20_YEARLY_ID: {'name': 'tier_2_20', 'minutes': 120, 'cost': 20}, # 2 hours/month, $204/year
config.STRIPE_TIER_6_50_YEARLY_ID: {'name': 'tier_6_50', 'minutes': 360, 'cost': 50}, # 6 hours/month, $510/year
config.STRIPE_TIER_12_100_YEARLY_ID: {'name': 'tier_12_100', 'minutes': 720, 'cost': 100}, # 12 hours/month, $1020/year
config.STRIPE_TIER_25_200_YEARLY_ID: {'name': 'tier_25_200', 'minutes': 1500, 'cost': 200}, # 25 hours/month, $2040/year
config.STRIPE_TIER_50_400_YEARLY_ID: {'name': 'tier_50_400', 'minutes': 3000, 'cost': 400}, # 50 hours/month, $4080/year
config.STRIPE_TIER_125_800_YEARLY_ID: {'name': 'tier_125_800', 'minutes': 7500, 'cost': 800}, # 125 hours/month, $8160/year
config.STRIPE_TIER_200_1000_YEARLY_ID: {'name': 'tier_200_1000', 'minutes': 12000, 'cost': 1000}, # 200 hours/month, $10200/year
}
# Pydantic models for request/response validation

3
backend/services/llm.py
View File

@ -133,6 +133,7 @@ def prepare_params(
"model": "openrouter/anthropic/claude-sonnet-4",
"messages": messages,
}]
# params["mock_testing_fallback"] = True
logger.debug("Added Claude-specific headers")
# Add OpenRouter-specific parameters
@ -312,7 +313,7 @@ async def make_llm_api_call(
response = await litellm.acompletion(**params)
logger.debug(f"Successfully received API response from {model_name}")
logger.debug(f"Response: {response}")
# logger.debug(f"Response: {response}")
return response
except (litellm.exceptions.RateLimitError, OpenAIError, json.JSONDecodeError) as e: