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import asyncio
import traceback
from datetime import datetime
from typing import Any, Optional, Union, cast
import litellm
from litellm._logging import verbose_proxy_logger
from litellm.integrations.custom_logger import CustomLogger
from litellm.litellm_core_utils.core_helpers import (
_get_parent_otel_span_from_kwargs,
get_litellm_metadata_from_kwargs,
)
from litellm.litellm_core_utils.litellm_logging import StandardLoggingPayloadSetup
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.auth.auth_checks import log_db_metrics
from litellm.proxy.auth.route_checks import RouteChecks
from litellm.proxy.utils import ProxyUpdateSpend
from litellm.types.utils import (
StandardLoggingPayload,
StandardLoggingUserAPIKeyMetadata,
)
from litellm.utils import get_end_user_id_for_cost_tracking
class _ProxyDBLogger(CustomLogger):
async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
await self._PROXY_track_cost_callback(
kwargs, response_obj, start_time, end_time
)
async def async_post_call_failure_hook(
self,
request_data: dict,
original_exception: Exception,
user_api_key_dict: UserAPIKeyAuth,
):
request_route = user_api_key_dict.request_route
if _ProxyDBLogger._should_track_errors_in_db() is False:
return
elif request_route is not None and not RouteChecks.is_llm_api_route(
route=request_route
):
return
from litellm.proxy.proxy_server import proxy_logging_obj
_metadata = dict(
StandardLoggingUserAPIKeyMetadata(
user_api_key_hash=user_api_key_dict.api_key,
user_api_key_alias=user_api_key_dict.key_alias,
user_api_key_user_email=user_api_key_dict.user_email,
user_api_key_user_id=user_api_key_dict.user_id,
user_api_key_team_id=user_api_key_dict.team_id,
user_api_key_org_id=user_api_key_dict.org_id,
user_api_key_team_alias=user_api_key_dict.team_alias,
user_api_key_end_user_id=user_api_key_dict.end_user_id,
)
)
_metadata["user_api_key"] = user_api_key_dict.api_key
_metadata["status"] = "failure"
_metadata[
"error_information"
] = StandardLoggingPayloadSetup.get_error_information(
original_exception=original_exception,
)
existing_metadata: dict = request_data.get("metadata", None) or {}
existing_metadata.update(_metadata)
if "litellm_params" not in request_data:
request_data["litellm_params"] = {}
request_data["litellm_params"]["proxy_server_request"] = (
request_data.get("proxy_server_request") or {}
)
request_data["litellm_params"]["metadata"] = existing_metadata
await proxy_logging_obj.db_spend_update_writer.update_database(
token=user_api_key_dict.api_key,
response_cost=0.0,
user_id=user_api_key_dict.user_id,
end_user_id=user_api_key_dict.end_user_id,
team_id=user_api_key_dict.team_id,
kwargs=request_data,
completion_response=original_exception,
start_time=datetime.now(),
end_time=datetime.now(),
org_id=user_api_key_dict.org_id,
)
@log_db_metrics
async def _PROXY_track_cost_callback(
self,
kwargs, # kwargs to completion
completion_response: Optional[
Union[litellm.ModelResponse, Any]
], # response from completion
start_time=None,
end_time=None, # start/end time for completion
):
from litellm.proxy.proxy_server import (
prisma_client,
proxy_logging_obj,
update_cache,
)
verbose_proxy_logger.debug("INSIDE _PROXY_track_cost_callback")
try:
verbose_proxy_logger.debug(
f"kwargs stream: {kwargs.get('stream', None)} + complete streaming response: {kwargs.get('complete_streaming_response', None)}"
)
parent_otel_span = _get_parent_otel_span_from_kwargs(kwargs=kwargs)
litellm_params = kwargs.get("litellm_params", {}) or {}
end_user_id = get_end_user_id_for_cost_tracking(litellm_params)
metadata = get_litellm_metadata_from_kwargs(kwargs=kwargs)
user_id = cast(Optional[str], metadata.get("user_api_key_user_id", None))
team_id = cast(Optional[str], metadata.get("user_api_key_team_id", None))
org_id = cast(Optional[str], metadata.get("user_api_key_org_id", None))
key_alias = cast(Optional[str], metadata.get("user_api_key_alias", None))
end_user_max_budget = metadata.get("user_api_end_user_max_budget", None)
sl_object: Optional[StandardLoggingPayload] = kwargs.get(
"standard_logging_object", None
)
response_cost = (
sl_object.get("response_cost", None)
if sl_object is not None
else kwargs.get("response_cost", None)
)
if response_cost is not None:
user_api_key = metadata.get("user_api_key", None)
if kwargs.get("cache_hit", False) is True:
response_cost = 0.0
verbose_proxy_logger.info(
f"Cache Hit: response_cost {response_cost}, for user_id {user_id}"
)
verbose_proxy_logger.debug(
f"user_api_key {user_api_key}, prisma_client: {prisma_client}"
)
if _should_track_cost_callback(
user_api_key=user_api_key,
user_id=user_id,
team_id=team_id,
end_user_id=end_user_id,
):
## UPDATE DATABASE
await proxy_logging_obj.db_spend_update_writer.update_database(
token=user_api_key,
response_cost=response_cost,
user_id=user_id,
end_user_id=end_user_id,
team_id=team_id,
kwargs=kwargs,
completion_response=completion_response,
start_time=start_time,
end_time=end_time,
org_id=org_id,
)
# update cache
asyncio.create_task(
update_cache(
token=user_api_key,
user_id=user_id,
end_user_id=end_user_id,
response_cost=response_cost,
team_id=team_id,
parent_otel_span=parent_otel_span,
)
)
await proxy_logging_obj.slack_alerting_instance.customer_spend_alert(
token=user_api_key,
key_alias=key_alias,
end_user_id=end_user_id,
response_cost=response_cost,
max_budget=end_user_max_budget,
)
else:
raise Exception(
"User API key and team id and user id missing from custom callback."
)
else:
if kwargs["stream"] is not True or (
kwargs["stream"] is True and "complete_streaming_response" in kwargs
):
if sl_object is not None:
cost_tracking_failure_debug_info: Union[dict, str] = (
sl_object["response_cost_failure_debug_info"] # type: ignore
or "response_cost_failure_debug_info is None in standard_logging_object"
)
else:
cost_tracking_failure_debug_info = (
"standard_logging_object not found"
)
model = kwargs.get("model")
raise Exception(
f"Cost tracking failed for model={model}.\nDebug info - {cost_tracking_failure_debug_info}\nAdd custom pricing - https://docs.litellm.ai/docs/proxy/custom_pricing"
)
except Exception as e:
error_msg = f"Error in tracking cost callback - {str(e)}\n Traceback:{traceback.format_exc()}"
model = kwargs.get("model", "")
metadata = get_litellm_metadata_from_kwargs(kwargs=kwargs)
litellm_metadata = kwargs.get("litellm_params", {}).get(
"litellm_metadata", {}
)
old_metadata = kwargs.get("litellm_params", {}).get("metadata", {})
call_type = kwargs.get("call_type", "")
error_msg += f"\n Args to _PROXY_track_cost_callback\n model: {model}\n chosen_metadata: {metadata}\n litellm_metadata: {litellm_metadata}\n old_metadata: {old_metadata}\n call_type: {call_type}\n"
asyncio.create_task(
proxy_logging_obj.failed_tracking_alert(
error_message=error_msg,
failing_model=model,
)
)
verbose_proxy_logger.exception(
"Error in tracking cost callback - %s", str(e)
)
@staticmethod
def _should_track_errors_in_db():
"""
Returns True if errors should be tracked in the database
By default, errors are tracked in the database
If users want to disable error tracking, they can set the disable_error_logs flag in the general_settings
"""
from litellm.proxy.proxy_server import general_settings
if general_settings.get("disable_error_logs") is True:
return False
return
def _should_track_cost_callback(
user_api_key: Optional[str],
user_id: Optional[str],
team_id: Optional[str],
end_user_id: Optional[str],
) -> bool:
"""
Determine if the cost callback should be tracked based on the kwargs
"""
# don't run track cost callback if user opted into disabling spend
if ProxyUpdateSpend.disable_spend_updates() is True:
return False
if (
user_api_key is not None
or user_id is not None
or team_id is not None
or end_user_id is not None
):
return True
return False
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