""" Module responsible for 1. Writing spend increments to either in memory list of transactions or to redis 2. Reading increments from redis or in memory list of transactions and committing them to db """ import asyncio import copy import json import os import random import time import traceback from datetime import datetime, timedelta, timezone from typing import ( TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union, cast, overload, ) import litellm from litellm._logging import verbose_proxy_logger from litellm.caching import DualCache, RedisCache from litellm.constants import DB_SPEND_UPDATE_JOB_NAME from litellm.litellm_core_utils.safe_json_loads import safe_json_loads from litellm.proxy._types import ( DB_CONNECTION_ERROR_TYPES, BaseDailySpendTransaction, DailyAgentSpendTransaction, DailyEndUserSpendTransaction, DailyOrganizationSpendTransaction, DailyTagSpendTransaction, DailyTeamSpendTransaction, DailyUserSpendTransaction, DBSpendUpdateTransactions, Litellm_EntityType, LiteLLM_UserTable, SpendLogsMetadata, SpendLogsPayload, SpendUpdateQueueItem, ToolDiscoveryQueueItem, ) from litellm.proxy.db.db_transaction_queue.daily_spend_update_queue import ( DailySpendUpdateQueue, ) from litellm.proxy.db.db_transaction_queue.pod_lock_manager import PodLockManager from litellm.proxy.db.db_transaction_queue.redis_update_buffer import RedisUpdateBuffer from litellm.proxy.db.db_transaction_queue.spend_update_queue import SpendUpdateQueue from litellm.proxy.db.db_transaction_queue.tool_discovery_queue import ( ToolDiscoveryQueue, ) from litellm.proxy.route_llm_request import ROUTE_ENDPOINT_MAPPING if TYPE_CHECKING: from litellm.proxy.utils import PrismaClient, ProxyLogging else: PrismaClient = Any ProxyLogging = Any class DBSpendUpdateWriter: """ Module responsible for 1. Writing spend increments to either in memory list of transactions or to redis 2. Reading increments from redis or in memory list of transactions and committing them to db """ def __init__( self, redis_cache: Optional[RedisCache] = None, ): self.redis_cache = redis_cache self.redis_update_buffer = RedisUpdateBuffer(redis_cache=self.redis_cache) self.pod_lock_manager = PodLockManager() self.spend_update_queue = SpendUpdateQueue() self.tool_discovery_queue = ToolDiscoveryQueue() self.daily_spend_update_queue = DailySpendUpdateQueue() self.daily_team_spend_update_queue = DailySpendUpdateQueue() self.daily_end_user_spend_update_queue = DailySpendUpdateQueue() self.daily_agent_spend_update_queue = DailySpendUpdateQueue() self.daily_org_spend_update_queue = DailySpendUpdateQueue() self.daily_tag_spend_update_queue = DailySpendUpdateQueue() async def update_database( # LiteLLM management object fields self, token: Optional[str], user_id: Optional[str], end_user_id: Optional[str], team_id: Optional[str], org_id: Optional[str], # Completion object fields kwargs: Optional[dict], completion_response: Optional[Union[litellm.ModelResponse, Any, Exception]], start_time: Optional[datetime], end_time: Optional[datetime], response_cost: Optional[float], ): from litellm.proxy.proxy_server import ( disable_spend_logs, litellm_proxy_budget_name, prisma_client, user_api_key_cache, ) from litellm.proxy.utils import ProxyUpdateSpend, hash_token try: verbose_proxy_logger.debug( f"Enters prisma db call, response_cost: {response_cost}, token: {token}; user_id: {user_id}; team_id: {team_id}" ) if ProxyUpdateSpend.disable_spend_updates() is True: return if token is not None and isinstance(token, str) and token.startswith("sk-"): hashed_token = hash_token(token=token) else: hashed_token = token ## CREATE SPEND LOG PAYLOAD ## from litellm.proxy.spend_tracking.spend_tracking_utils import ( get_logging_payload, ) payload = get_logging_payload( kwargs=kwargs, response_obj=completion_response, start_time=start_time, end_time=end_time, ) payload["spend"] = response_cost or 0.0 if isinstance(payload["startTime"], datetime): payload["startTime"] = payload["startTime"].isoformat() if isinstance(payload["endTime"], datetime): payload["endTime"] = payload["endTime"].isoformat() if org_id is not None and org_id != "": payload["organization_id"] = org_id if team_id is not None and team_id != "": payload["team_id"] = team_id # One deepcopy shared by all 6 daily spend helpers (was 5, fixes agent bug) payload_copy = copy.deepcopy(payload) # Deepcopy request_tags for _update_tag_db request_tags = copy.deepcopy(payload.get("request_tags")) # Keep _insert_spend_log_to_db awaited inline (not a task, preserve current behavior) if disable_spend_logs is False: await self._insert_spend_log_to_db( payload=copy.deepcopy(payload), prisma_client=prisma_client, ) else: verbose_proxy_logger.debug( "disable_spend_logs=True. Skipping writing spend logs to db. Other spend updates - Key/User/Team table will still occur." ) # Single task replaces 11 create_task() calls asyncio.create_task( self._batch_database_updates( response_cost=response_cost, user_id=user_id, hashed_token=hashed_token, team_id=team_id, org_id=org_id, end_user_id=end_user_id, prisma_client=prisma_client, user_api_key_cache=user_api_key_cache, litellm_proxy_budget_name=litellm_proxy_budget_name, payload_copy=payload_copy, request_tags=request_tags, ) ) self._enqueue_tool_registry_upsert( kwargs=kwargs, completion_response=completion_response, hashed_token=hashed_token, team_id=team_id, ) verbose_proxy_logger.debug("Runs spend update on all tables") except Exception: verbose_proxy_logger.error( "Spend tracking - update_database failed. Spend log insertion or daily transaction enqueue " "may not have completed for this request. " "response_cost=%s, token=%s, user_id=%s, team_id=%s, org_id=%s, end_user_id=%s - %s", response_cost, token, user_id, team_id, org_id, end_user_id, traceback.format_exc(), ) def _enqueue_tool_registry_upsert( self, kwargs: Optional[dict], completion_response: Optional[Any], hashed_token: Optional[str] = None, team_id: Optional[str] = None, ) -> None: """ Extract tool names from the LLM request and response and enqueue them for upsert into LiteLLM_ToolTable via ToolDiscoveryQueue. Handles four sources: - MCP tools: standard_logging_object.mcp_tool_call_metadata.namespaced_tool_name - Response tool_calls (OpenAI / Anthropic pass-through converted to OpenAI format): completion_response.choices[].message.tool_calls[].function.name - Request tools array (OpenAI format): kwargs["tools"][].function.name - Request tools array (Anthropic /messages format): kwargs["passthrough_logging_payload"] ["request_body"]["tools"][].name """ try: if kwargs is None: return # Extract key_alias from kwargs metadata if available key_alias: Optional[str] = None _litellm_params = kwargs.get("litellm_params") or {} _metadata = _litellm_params.get("metadata") or {} key_alias = _metadata.get("user_api_key_alias") or None user_agent = _metadata.get("user_agent") or None def _enqueue(tool_name: str, origin: str = "user_defined") -> None: self.tool_discovery_queue.add_update( ToolDiscoveryQueueItem( tool_name=tool_name, origin=origin, key_hash=hashed_token, team_id=team_id, key_alias=key_alias, user_agent=user_agent, ) ) # --- MCP tool calls --- sl_object = kwargs.get("standard_logging_object") if sl_object is not None: mcp_metadata = (sl_object.get("metadata", {}) or {}).get( "mcp_tool_call_metadata" ) if mcp_metadata and isinstance(mcp_metadata, dict): tool_name = mcp_metadata.get( "namespaced_tool_name" ) or mcp_metadata.get("name") mcp_server_name = mcp_metadata.get("mcp_server_name") if tool_name: _enqueue(tool_name, origin=mcp_server_name or "user_defined") # --- Tools from request body (OpenAI format: tools[].function.name) --- request_tools = kwargs.get("tools") or [] for tool_def in request_tools: if not isinstance(tool_def, dict): continue fn = tool_def.get("function") or {} name = fn.get("name") if isinstance(fn, dict) else None if name: _enqueue(name) # --- Tools from Anthropic /messages pass-through request body # (Anthropic format: tools[].name, no "function" wrapper) --- passthrough_payload = kwargs.get("passthrough_logging_payload") or {} request_body = ( passthrough_payload.get("request_body") if isinstance(passthrough_payload, dict) else None ) or {} for tool_def in request_body.get("tools") or []: if not isinstance(tool_def, dict): continue name = tool_def.get("name") if name: _enqueue(name) # --- Response tool_calls (OpenAI format; Anthropic pass-through converts tool_use here) --- if completion_response is not None and hasattr( completion_response, "choices" ): for choice in completion_response.choices or []: message = getattr(choice, "message", None) if message is None: continue tool_calls = getattr(message, "tool_calls", None) if not tool_calls: continue for tc in tool_calls: fn = getattr(tc, "function", None) if fn is None: continue tool_name = getattr(fn, "name", None) if tool_name: _enqueue(tool_name) except Exception as e: verbose_proxy_logger.debug( "_enqueue_tool_registry_upsert error (non-blocking): %s", e ) async def _batch_database_updates( self, *, response_cost: Optional[float], user_id: Optional[str], hashed_token: Optional[str], team_id: Optional[str], org_id: Optional[str], end_user_id: Optional[str], prisma_client: Optional[PrismaClient], user_api_key_cache: DualCache, litellm_proxy_budget_name: Optional[str], payload_copy: SpendLogsPayload, request_tags: Optional[Any], ): """ Runs all 11 spend-update helpers sequentially inside a single asyncio task. Each helper is wrapped in try/except so one failure doesn't prevent the others. """ try: await self._update_user_db( response_cost=response_cost, user_id=user_id, prisma_client=prisma_client, user_api_key_cache=user_api_key_cache, litellm_proxy_budget_name=litellm_proxy_budget_name, end_user_id=end_user_id, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: _update_user_db failed: %s", traceback.format_exc(), ) try: await self._update_key_db( response_cost=response_cost, hashed_token=hashed_token, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: _update_key_db failed: %s", traceback.format_exc(), ) try: await self._update_team_db( response_cost=response_cost, team_id=team_id, user_id=user_id, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: _update_team_db failed: %s", traceback.format_exc(), ) try: await self._update_org_db( response_cost=response_cost, org_id=org_id, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: _update_org_db failed: %s", traceback.format_exc(), ) try: await self._update_tag_db( response_cost=response_cost, request_tags=request_tags, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: _update_tag_db failed: %s", traceback.format_exc(), ) _agent_id_for_spend = payload_copy.get("agent_id") try: await self._update_agent_db( response_cost=response_cost, agent_id=_agent_id_for_spend, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: _update_agent_db failed: %s", traceback.format_exc(), ) try: await self.add_spend_log_transaction_to_daily_user_transaction( payload=payload_copy, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: add_spend_log_transaction_to_daily_user_transaction failed: %s", traceback.format_exc(), ) try: await self.add_spend_log_transaction_to_daily_end_user_transaction( payload=payload_copy, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: add_spend_log_transaction_to_daily_end_user_transaction failed: %s", traceback.format_exc(), ) try: await self.add_spend_log_transaction_to_daily_agent_transaction( payload=payload_copy, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: add_spend_log_transaction_to_daily_agent_transaction failed: %s", traceback.format_exc(), ) try: await self.add_spend_log_transaction_to_daily_team_transaction( payload=payload_copy, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: add_spend_log_transaction_to_daily_team_transaction failed: %s", traceback.format_exc(), ) try: await self.add_spend_log_transaction_to_daily_org_transaction( payload=payload_copy, org_id=org_id, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: add_spend_log_transaction_to_daily_org_transaction failed: %s", traceback.format_exc(), ) try: await self.add_spend_log_transaction_to_daily_tag_transaction( payload=payload_copy, prisma_client=prisma_client, ) except Exception: verbose_proxy_logger.debug( "_batch_database_updates: add_spend_log_transaction_to_daily_tag_transaction failed: %s", traceback.format_exc(), ) async def _update_key_db( self, response_cost: Optional[float], hashed_token: Optional[str], prisma_client: Optional[PrismaClient], ): try: if hashed_token is None or prisma_client is None: return await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.KEY, entity_id=hashed_token, response_cost=response_cost, ) ) except Exception as e: verbose_proxy_logger.exception( f"Update Key DB Call failed to execute - {str(e)}" ) raise e async def _update_user_db( self, response_cost: Optional[float], user_id: Optional[str], prisma_client: Optional[PrismaClient], user_api_key_cache: DualCache, litellm_proxy_budget_name: Optional[str], end_user_id: Optional[str] = None, ): """ - Update that user's row - Update litellm-proxy-budget row (global proxy spend) """ ## if an end-user is passed in, do an upsert - we can't guarantee they already exist in db existing_user_obj = await user_api_key_cache.async_get_cache(key=user_id) if existing_user_obj is not None and isinstance(existing_user_obj, dict): existing_user_obj = LiteLLM_UserTable(**existing_user_obj) try: if prisma_client is not None: # update user_ids = [user_id] if ( litellm.max_budget > 0 ): # track global proxy budget, if user set max budget user_ids.append(litellm_proxy_budget_name) for _id in user_ids: if _id is not None: await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.USER, entity_id=_id, response_cost=response_cost, ) ) if end_user_id is not None: await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.END_USER, entity_id=end_user_id, response_cost=response_cost, ) ) except Exception as e: verbose_proxy_logger.error( "Spend tracking - failed to enqueue user spend update. " "user_id=%s, end_user_id=%s, response_cost=%s - %s\n%s", user_id, end_user_id, response_cost, str(e), traceback.format_exc(), ) async def _update_team_db( self, response_cost: Optional[float], team_id: Optional[str], user_id: Optional[str], prisma_client: Optional[PrismaClient], ): try: if team_id is None or prisma_client is None: verbose_proxy_logger.debug( "track_cost_callback: team_id is None or prisma_client is None. Not tracking spend for team" ) return await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.TEAM, entity_id=team_id, response_cost=response_cost, ) ) try: # Track spend of the team member within this team if user_id is not None: # key is "team_id::::user_id::" team_member_key = f"team_id::{team_id}::user_id::{user_id}" await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.TEAM_MEMBER, entity_id=team_member_key, response_cost=response_cost, ) ) except Exception as e: verbose_proxy_logger.error( "Spend tracking - failed to enqueue team member spend update. " "team_id=%s, user_id=%s, response_cost=%s - %s\n%s", team_id, user_id, response_cost, str(e), traceback.format_exc(), ) except Exception as e: verbose_proxy_logger.error( "Spend tracking - failed to enqueue team spend update. " "team_id=%s, response_cost=%s - %s\n%s", team_id, response_cost, str(e), traceback.format_exc(), ) raise e async def _update_org_db( self, response_cost: Optional[float], org_id: Optional[str], prisma_client: Optional[PrismaClient], ): try: if org_id is None or prisma_client is None: verbose_proxy_logger.debug( "track_cost_callback: org_id is None or prisma_client is None. Not tracking spend for org" ) return await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.ORGANIZATION, entity_id=org_id, response_cost=response_cost, ) ) except Exception as e: verbose_proxy_logger.error( "Spend tracking - failed to enqueue org spend update. " "org_id=%s, response_cost=%s - %s\n%s", org_id, response_cost, str(e), traceback.format_exc(), ) raise e async def _update_agent_db( self, response_cost: Optional[float], agent_id: Optional[str], prisma_client: Optional[PrismaClient], ): try: if agent_id is None or prisma_client is None: return await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.AGENT, entity_id=agent_id, response_cost=response_cost, ) ) except Exception as e: verbose_proxy_logger.error( "Spend tracking - failed to enqueue agent spend update. " "agent_id=%s, response_cost=%s - %s\n%s", agent_id, response_cost, str(e), traceback.format_exc(), ) raise e async def _update_tag_db( self, response_cost: Optional[float], request_tags: Optional[str], prisma_client: Optional[PrismaClient], ): """ Update spend for all tags in the request. Args: response_cost: Cost of the request request_tags: JSON string of tags list e.g. '["prod-tag", "test-tag"]' prisma_client: Prisma client instance """ try: if request_tags is None or prisma_client is None: return # Parse tags from JSON string tags = [] if isinstance(request_tags, str): tags = safe_json_loads(request_tags, default=[]) if not tags: verbose_proxy_logger.debug( f"Failed to parse request_tags JSON: {request_tags}" ) return elif isinstance(request_tags, list): tags = request_tags else: return # Update spend for each tag for tag_name in tags: if tag_name and isinstance(tag_name, str): await self.spend_update_queue.add_update( update=SpendUpdateQueueItem( entity_type=Litellm_EntityType.TAG, entity_id=tag_name, response_cost=response_cost, ) ) except Exception as e: verbose_proxy_logger.error( "Spend tracking - failed to enqueue tag spend update. " "request_tags=%s, response_cost=%s - %s\n%s", request_tags, response_cost, str(e), traceback.format_exc(), ) raise e async def _insert_spend_log_to_db( self, payload: Union[dict, SpendLogsPayload], prisma_client: Optional[PrismaClient] = None, spend_logs_url: Optional[str] = os.getenv("SPEND_LOGS_URL"), ) -> Optional[PrismaClient]: verbose_proxy_logger.debug( "Writing spend log to db - request_id: {}, spend: {}".format( payload.get("request_id"), payload.get("spend") ) ) if prisma_client is not None and spend_logs_url is not None: async with prisma_client._spend_log_transactions_lock: prisma_client.spend_log_transactions.append(payload) elif prisma_client is not None: async with prisma_client._spend_log_transactions_lock: prisma_client.spend_log_transactions.append(payload) else: verbose_proxy_logger.debug( "prisma_client is None. Skipping writing spend logs to db." ) return prisma_client async def db_update_spend_transaction_handler( self, prisma_client: PrismaClient, n_retry_times: int, proxy_logging_obj: ProxyLogging, ): """ Handles commiting update spend transactions to db `UPDATES` can lead to deadlocks, hence we handle them separately Args: prisma_client: PrismaClient object n_retry_times: int, number of retry times proxy_logging_obj: ProxyLogging object How this works: - Check `general_settings.use_redis_transaction_buffer` - If enabled, write in-memory transactions to Redis - Check if this Pod should read from the DB else: - Regular flow of this method """ if RedisUpdateBuffer._should_commit_spend_updates_to_redis(): await self._commit_spend_updates_to_db_with_redis( prisma_client=prisma_client, n_retry_times=n_retry_times, proxy_logging_obj=proxy_logging_obj, ) else: await self._commit_spend_updates_to_db_without_redis_buffer( prisma_client=prisma_client, n_retry_times=n_retry_times, proxy_logging_obj=proxy_logging_obj, ) async def _commit_spend_updates_to_db_with_redis( self, prisma_client: PrismaClient, n_retry_times: int, proxy_logging_obj: ProxyLogging, ): """ Handler to commit spend updates to Redis and attempt to acquire lock to commit to db This is a v2 scalable approach to first commit spend updates to redis, then commit to db This minimizes DB Deadlocks since - All pods only need to write their spend updates to redis - Only 1 pod will commit to db at a time (based on if it can acquire the lock over writing to DB) """ await self.redis_update_buffer.store_in_memory_spend_updates_in_redis( spend_update_queue=self.spend_update_queue, daily_spend_update_queue=self.daily_spend_update_queue, daily_team_spend_update_queue=self.daily_team_spend_update_queue, daily_org_spend_update_queue=self.daily_org_spend_update_queue, daily_end_user_spend_update_queue=self.daily_end_user_spend_update_queue, daily_agent_spend_update_queue=self.daily_agent_spend_update_queue, daily_tag_spend_update_queue=self.daily_tag_spend_update_queue, ) # Only commit from redis to db if this pod is the leader if await self.pod_lock_manager.acquire_lock( cronjob_id=DB_SPEND_UPDATE_JOB_NAME, ): verbose_proxy_logger.debug("acquired lock for spend updates") try: ( db_spend_update_transactions, daily_spend_update_transactions, daily_team_spend_update_transactions, daily_org_spend_update_transactions, daily_end_user_spend_update_transactions, daily_agent_spend_update_transactions, daily_tag_spend_update_transactions, ) = ( await self.redis_update_buffer.get_all_transactions_from_redis_buffer_pipeline() ) if db_spend_update_transactions is not None: verbose_proxy_logger.info( "Spend tracking - committing spend updates from Redis to DB: " "keys=%d, users=%d, teams=%d, orgs=%d, end_users=%d, team_members=%d, tags=%d, agents=%d", len( db_spend_update_transactions.get("key_list_transactions") or {} ), len( db_spend_update_transactions.get("user_list_transactions") or {} ), len( db_spend_update_transactions.get("team_list_transactions") or {} ), len( db_spend_update_transactions.get("org_list_transactions") or {} ), len( db_spend_update_transactions.get( "end_user_list_transactions" ) or {} ), len( db_spend_update_transactions.get( "team_member_list_transactions" ) or {} ), len( db_spend_update_transactions.get("tag_list_transactions") or {} ), len( db_spend_update_transactions.get( "agent_list_transactions" ) or {} ), ) await self._commit_spend_updates_to_db( prisma_client=prisma_client, n_retry_times=n_retry_times, proxy_logging_obj=proxy_logging_obj, db_spend_update_transactions=db_spend_update_transactions, ) if daily_spend_update_transactions is not None: await DBSpendUpdateWriter.update_daily_user_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_update_transactions, ) if daily_team_spend_update_transactions is not None: await DBSpendUpdateWriter.update_daily_team_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_team_spend_update_transactions, ) if daily_org_spend_update_transactions is not None: await DBSpendUpdateWriter.update_daily_org_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_org_spend_update_transactions, ) if daily_tag_spend_update_transactions is not None: await DBSpendUpdateWriter.update_daily_tag_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_tag_spend_update_transactions, ) if daily_end_user_spend_update_transactions is not None: await DBSpendUpdateWriter.update_daily_end_user_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_end_user_spend_update_transactions, ) if daily_agent_spend_update_transactions is not None: await DBSpendUpdateWriter.update_daily_agent_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_agent_spend_update_transactions, ) except Exception as e: verbose_proxy_logger.error( "Spend tracking - failed to commit spend updates from Redis to DB. " "Data already popped from Redis may be lost. Error: %s\n%s", str(e), traceback.format_exc(), ) finally: await self.pod_lock_manager.release_lock( cronjob_id=DB_SPEND_UPDATE_JOB_NAME, ) async def _commit_spend_updates_to_db_without_redis_buffer( self, prisma_client: PrismaClient, n_retry_times: int, proxy_logging_obj: ProxyLogging, ): """ Commits all the spend `UPDATE` transactions to the Database This is the regular flow of committing to db without using a redis buffer Note: This flow causes Deadlocks in production (1K RPS+). Use self._commit_spend_updates_to_db_with_redis() instead if you expect 1K+ RPS. """ # Aggregate all in memory spend updates (key, user, end_user, team, team_member, org) and commit to db ################## Spend Update Transactions ################## db_spend_update_transactions = ( await self.spend_update_queue.flush_and_get_aggregated_db_spend_update_transactions() ) await self._commit_spend_updates_to_db( prisma_client=prisma_client, n_retry_times=n_retry_times, proxy_logging_obj=proxy_logging_obj, db_spend_update_transactions=db_spend_update_transactions, ) ################## Daily Spend Update Transactions ################## # Aggregate all in memory daily spend transactions and commit to db daily_spend_update_transactions = cast( Dict[str, DailyUserSpendTransaction], await self.daily_spend_update_queue.flush_and_get_aggregated_daily_spend_update_transactions(), ) await DBSpendUpdateWriter.update_daily_user_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_update_transactions, ) ################## Daily Team Spend Update Transactions ################## # Aggregate all in memory daily team spend transactions and commit to db daily_team_spend_update_transactions = cast( Dict[str, DailyTeamSpendTransaction], await self.daily_team_spend_update_queue.flush_and_get_aggregated_daily_spend_update_transactions(), ) await DBSpendUpdateWriter.update_daily_team_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_team_spend_update_transactions, ) ################## Daily Organization Spend Update Transactions ################## # Aggregate all in memory daily org spend transactions and commit to db daily_org_spend_update_transactions = cast( Dict[str, DailyOrganizationSpendTransaction], await self.daily_org_spend_update_queue.flush_and_get_aggregated_daily_spend_update_transactions(), ) await DBSpendUpdateWriter.update_daily_org_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_org_spend_update_transactions, ) ################## Daily Tag Spend Update Transactions ################## # Aggregate all in memory daily tag spend transactions and commit to db daily_tag_spend_update_transactions = cast( Dict[str, DailyTagSpendTransaction], await self.daily_tag_spend_update_queue.flush_and_get_aggregated_daily_spend_update_transactions(), ) await DBSpendUpdateWriter.update_daily_tag_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_tag_spend_update_transactions, ) ################## Daily End-User Spend Update Transactions ################## # Aggregate all in memory daily end-user spend transactions and commit to db daily_end_user_spend_update_transactions = cast( Dict[str, DailyEndUserSpendTransaction], await self.daily_end_user_spend_update_queue.flush_and_get_aggregated_daily_spend_update_transactions(), ) await DBSpendUpdateWriter.update_daily_end_user_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_end_user_spend_update_transactions, ) ################## Daily Agent Spend Update Transactions ################## # Aggregate all in memory daily agent spend transactions and commit to db daily_agent_spend_update_transactions = cast( Dict[str, DailyAgentSpendTransaction], await self.daily_agent_spend_update_queue.flush_and_get_aggregated_daily_spend_update_transactions(), ) await DBSpendUpdateWriter.update_daily_agent_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_agent_spend_update_transactions, ) ################## Tool Registry Upserts ################## await self._flush_tool_discovery_queue(prisma_client=prisma_client) async def _flush_tool_discovery_queue( self, prisma_client: PrismaClient, ) -> None: """Flush ToolDiscoveryQueue and batch-upsert new tools into LiteLLM_ToolTable.""" from litellm.proxy.db.tool_registry_writer import batch_upsert_tools try: items = self.tool_discovery_queue.flush() if items: await batch_upsert_tools(prisma_client=prisma_client, items=items) except Exception as e: verbose_proxy_logger.debug( "_flush_tool_discovery_queue error (non-blocking): %s", e ) async def _commit_spend_updates_to_db( # noqa: PLR0915 self, prisma_client: PrismaClient, n_retry_times: int, proxy_logging_obj: ProxyLogging, db_spend_update_transactions: DBSpendUpdateTransactions, ): """ Commits all the spend `UPDATE` transactions to the Database """ from litellm.proxy.utils import ( ProxyUpdateSpend, _raise_failed_update_spend_exception, ) ### UPDATE USER TABLE ### user_list_transactions = db_spend_update_transactions["user_list_transactions"] verbose_proxy_logger.debug( "User Spend transactions: {}".format(user_list_transactions) ) if ( user_list_transactions is not None and len(user_list_transactions.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 user_list_transactions.items(): batcher.litellm_usertable.update_many( where={"user_id": user_id}, data={"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 ) ### UPDATE END-USER TABLE ### end_user_list_transactions = db_spend_update_transactions[ "end_user_list_transactions" ] verbose_proxy_logger.debug( "End-User Spend transactions: {}".format(end_user_list_transactions) ) if ( end_user_list_transactions is not None and len(end_user_list_transactions.keys()) > 0 ): await ProxyUpdateSpend.update_end_user_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, end_user_list_transactions=end_user_list_transactions, ) ### UPDATE KEY TABLE ### key_list_transactions = db_spend_update_transactions["key_list_transactions"] verbose_proxy_logger.debug( "KEY Spend transactions: {}".format(key_list_transactions) ) if key_list_transactions is not None and len(key_list_transactions.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 key_list_transactions.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}, "last_active": datetime.now(timezone.utc), }, ) 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 ### team_list_transactions = db_spend_update_transactions["team_list_transactions"] verbose_proxy_logger.debug( "Team Spend transactions: {}".format(team_list_transactions) ) if ( team_list_transactions is not None and len(team_list_transactions.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 team_list_transactions.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}}, ) 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 ### team_member_list_transactions = db_spend_update_transactions[ "team_member_list_transactions" ] verbose_proxy_logger.debug( "Team Membership Spend transactions: {}".format( team_member_list_transactions ) ) if ( team_member_list_transactions is not None and len(team_member_list_transactions.keys()) > 0 ): # Track which team memberships will be updated for cache invalidation team_memberships_to_invalidate: List[tuple[str, str]] = [] for key in team_member_list_transactions.keys(): # key is "team_id::::user_id::" team_id = key.split("::")[1] user_id = key.split("::")[3] team_memberships_to_invalidate.append((user_id, team_id)) 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 team_member_list_transactions.items(): # key is "team_id::::user_id::" 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}}, ) # Transaction succeeded, break out of retry 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 ) # Invalidate cache for updated team memberships # This ensures budget checks read fresh spend data from the database if team_memberships_to_invalidate and proxy_logging_obj is not None: user_api_key_cache = proxy_logging_obj.call_details.get( "user_api_key_cache" ) if user_api_key_cache is not None: for user_id, team_id in team_memberships_to_invalidate: cache_key = "team_membership:{}:{}".format(user_id, team_id) await user_api_key_cache.async_delete_cache(key=cache_key) verbose_proxy_logger.debug( f"Invalidated team membership cache for user_id={user_id}, team_id={team_id}" ) ### UPDATE ORG TABLE ### org_list_transactions = db_spend_update_transactions["org_list_transactions"] verbose_proxy_logger.debug( "Org Spend transactions: {}".format(org_list_transactions) ) if org_list_transactions is not None and len(org_list_transactions.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 org_list_transactions.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}}, ) 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( # Sleep a random amount to avoid retrying and deadlocking again: when two transactions deadlock they are # cancelled basically at the same time, so if they wait the same time they will also retry at the same time # and thus they are more likely to deadlock again. # Instead, we sleep a random amount so that they retry at slightly different times, lowering the chance of # repeated deadlocks, and therefore of exceeding the retry limit. random.uniform(2**i, 2 ** (i + 1)) ) except Exception as e: _raise_failed_update_spend_exception( e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj ) ### UPDATE TAG TABLE ### tag_list_transactions = db_spend_update_transactions["tag_list_transactions"] await DBSpendUpdateWriter._update_entity_spend_in_db( entity_name="Tag", transactions=tag_list_transactions, table_accessor="litellm_tagtable", where_field="tag_name", n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, ) ### UPDATE AGENT TABLE ### agent_list_transactions = db_spend_update_transactions["agent_list_transactions"] await DBSpendUpdateWriter._update_entity_spend_in_db( entity_name="Agent", transactions=agent_list_transactions, table_accessor="litellm_agentstable", where_field="agent_id", n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, ) @staticmethod async def _update_entity_spend_in_db( entity_name: str, transactions: Optional[Dict[str, float]], table_accessor: Any, where_field: str, n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, ): """ Helper function to update spend for any entity type (team, org, tag, etc). Args: entity_name: Name of entity for logging (e.g., "Team", "Org", "Tag") transactions: Dictionary of {entity_id: response_cost} table_accessor: Prisma table accessor (e.g., prisma_client.db.litellm_teamtable) where_field: Field name for where clause (e.g., "team_id", "organization_id", "tag_name") n_retry_times: Number of retries on failure prisma_client: Prisma client instance proxy_logging_obj: Proxy logging object """ from litellm.proxy.utils import _raise_failed_update_spend_exception verbose_proxy_logger.debug(f"{entity_name} Spend transactions: {transactions}") if transactions is not None and len(transactions.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 entity_id, response_cost in transactions.items(): verbose_proxy_logger.debug( f"Updating spend for {entity_name} {where_field}={entity_id} by {response_cost}" ) getattr(batcher, table_accessor).update_many( where={where_field: entity_id}, data={"spend": {"increment": response_cost}}, ) break except DB_CONNECTION_ERROR_TYPES as e: if i >= n_retry_times: _raise_failed_update_spend_exception( e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj, ) 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 ) # fmt: off @overload @staticmethod async def _update_daily_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyUserSpendTransaction], entity_type: Literal["user"], entity_id_field: str, table_name: str, unique_constraint_name: str, ) -> None: ... @overload @staticmethod async def _update_daily_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyTeamSpendTransaction], entity_type: Literal["team"], entity_id_field: str, table_name: str, unique_constraint_name: str, ) -> None: ... @overload @staticmethod async def _update_daily_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyOrganizationSpendTransaction], entity_type: Literal["org"], entity_id_field: str, table_name: str, unique_constraint_name: str, ) -> None: ... @overload @staticmethod async def _update_daily_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyEndUserSpendTransaction], entity_type: Literal["end_user"], entity_id_field: str, table_name: str, unique_constraint_name: str, ) -> None: ... @overload @staticmethod async def _update_daily_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyAgentSpendTransaction], entity_type: Literal["agent"], entity_id_field: str, table_name: str, unique_constraint_name: str, ) -> None: ... @overload @staticmethod async def _update_daily_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyTagSpendTransaction], entity_type: Literal["tag"], entity_id_field: str, table_name: str, unique_constraint_name: str, ) -> None: ... # fmt: on @staticmethod async def _update_daily_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Union[ Dict[str, DailyUserSpendTransaction], Dict[str, DailyTeamSpendTransaction], Dict[str, DailyTagSpendTransaction], Dict[str, DailyOrganizationSpendTransaction], Dict[str, DailyEndUserSpendTransaction], Dict[str, DailyAgentSpendTransaction], ], entity_type: Literal["user", "team", "org", "tag", "end_user", "agent"], entity_id_field: str, table_name: str, unique_constraint_name: str, ) -> None: """ Generic function to update daily spend for any entity type (user, team, org, tag, end_user, agent) """ from litellm.proxy.utils import _raise_failed_update_spend_exception verbose_proxy_logger.debug( f"Daily {entity_type.capitalize()} Spend transactions: {len(daily_spend_transactions)}" ) BATCH_SIZE = 100 start_time = time.time() try: for i in range(n_retry_times + 1): try: # Sort the transactions to minimize the probability of deadlocks by reducing the chance of concurrent # trasactions locking the same rows/ranges in different orders. transactions_to_process = dict( sorted( daily_spend_transactions.items(), # Normally to avoid deadlocks we would sort by the index, but since we have sprinkled indexes # on our schema like we're discount Salt Bae, we just sort by all fields that have an index, # in an ad-hoc (but hopefully sensible) order of indexes. The actual ordering matters less than # ensuring that all concurrent transactions sort in the same order. # We could in theory use the dict key, as it contains basically the same fields, but this is more # robust to future changes in the key format. # If _update_daily_spend ever gets the ability to write to multiple tables at once, the sorting # should sort by the table first. key=lambda x: ( x[1].get("date") or "", x[1].get(entity_id_field) or "", x[1].get("api_key") or "", x[1].get("model") or "", x[1].get("custom_llm_provider") or "", ), )[:BATCH_SIZE] ) if len(transactions_to_process) == 0: verbose_proxy_logger.debug( f"No new transactions to process for daily {entity_type} spend update" ) break try: async with prisma_client.db.batch_() as batcher: for _, transaction in transactions_to_process.items(): entity_id = transaction.get(entity_id_field) # Construct the where clause dynamically where_clause = { unique_constraint_name: { entity_id_field: entity_id, "date": transaction["date"], "api_key": transaction["api_key"], "model": transaction["model"], "custom_llm_provider": transaction.get( "custom_llm_provider" ) or "", "mcp_namespaced_tool_name": transaction.get( "mcp_namespaced_tool_name" ) or "", "endpoint": transaction.get("endpoint") or "", } } # Get the table dynamically table = getattr(batcher, table_name) # Common data structure for both create and update common_data = { entity_id_field: entity_id, "date": transaction["date"], "api_key": transaction["api_key"], "model": transaction.get("model"), "model_group": transaction.get("model_group"), "mcp_namespaced_tool_name": transaction.get( "mcp_namespaced_tool_name" ) or "", "custom_llm_provider": transaction.get( "custom_llm_provider" ), "endpoint": transaction.get("endpoint") or "", "prompt_tokens": transaction["prompt_tokens"], "completion_tokens": transaction[ "completion_tokens" ], "spend": transaction["spend"], "api_requests": transaction["api_requests"], "successful_requests": transaction[ "successful_requests" ], "failed_requests": transaction["failed_requests"], } # Add cache-related fields if they exist if "cache_read_input_tokens" in transaction: common_data["cache_read_input_tokens"] = ( transaction.get("cache_read_input_tokens", 0) ) if "cache_creation_input_tokens" in transaction: common_data["cache_creation_input_tokens"] = ( transaction.get( "cache_creation_input_tokens", 0 ) ) if entity_type == "tag" and "request_id" in transaction: common_data["request_id"] = transaction.get( "request_id" ) # Create update data structure update_data = { "prompt_tokens": { "increment": transaction["prompt_tokens"] }, "completion_tokens": { "increment": transaction["completion_tokens"] }, "spend": {"increment": transaction["spend"]}, "api_requests": { "increment": transaction["api_requests"] }, "successful_requests": { "increment": transaction["successful_requests"] }, "failed_requests": { "increment": transaction["failed_requests"] }, } # Add cache-related fields to update if they exist if "cache_read_input_tokens" in transaction: update_data["cache_read_input_tokens"] = { "increment": transaction.get( "cache_read_input_tokens", 0 ) } if "cache_creation_input_tokens" in transaction: update_data["cache_creation_input_tokens"] = { "increment": transaction.get( "cache_creation_input_tokens", 0 ) } if entity_type == "tag" and "request_id" in transaction: update_data["request_id"] = transaction.get( "request_id" ) # Add endpoint to update_data so existing rows get their endpoint field updated update_data["endpoint"] = ( transaction.get("endpoint") or "" ) table.upsert( where=where_clause, data={ "create": common_data, "update": update_data, }, ) except Exception as batch_error: # Log detailed error information for debugging batch upsert failures # This helps diagnose issues like unique constraint violations verbose_proxy_logger.exception( f"Daily {entity_type} spend batch upsert failed. " f"Table: {table_name}, Constraint: {unique_constraint_name}, " f"Batch size: {len(transactions_to_process)}, " f"Error: {str(batch_error)}" ) raise verbose_proxy_logger.debug( f"Processed {len(transactions_to_process)} daily {entity_type} transactions in {time.time() - start_time:.2f}s" ) # Remove processed transactions for key in transactions_to_process.keys(): daily_spend_transactions.pop(key, None) break except DB_CONNECTION_ERROR_TYPES as e: if i >= n_retry_times: _raise_failed_update_spend_exception( e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj, ) await asyncio.sleep( # Sleep a random amount to avoid retrying and deadlocking again: when two transactions deadlock they are # cancelled basically at the same time, so if they wait the same time they will also retry at the same time # and thus they are more likely to deadlock again. # Instead, we sleep a random amount so that they retry at slightly different times, lowering the chance of # repeated deadlocks, and therefore of exceeding the retry limit. random.uniform(2**i, 2 ** (i + 1)) ) except Exception as e: if "transactions_to_process" in locals(): for key in transactions_to_process.keys(): # type: ignore daily_spend_transactions.pop(key, None) _raise_failed_update_spend_exception( e=e, start_time=start_time, proxy_logging_obj=proxy_logging_obj ) @staticmethod async def update_daily_user_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyUserSpendTransaction], ): """ Batch job to update LiteLLM_DailyUserSpend table using in-memory daily_spend_transactions """ await DBSpendUpdateWriter._update_daily_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_transactions, entity_type="user", entity_id_field="user_id", table_name="litellm_dailyuserspend", unique_constraint_name="user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint", ) @staticmethod async def update_daily_team_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyTeamSpendTransaction], ): """ Batch job to update LiteLLM_DailyTeamSpend table using in-memory daily_spend_transactions """ await DBSpendUpdateWriter._update_daily_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_transactions, entity_type="team", entity_id_field="team_id", table_name="litellm_dailyteamspend", unique_constraint_name="team_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint", ) @staticmethod async def update_daily_org_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyOrganizationSpendTransaction], ): """ Batch job to update LiteLLM_DailyOrganizationSpend table using in-memory daily_spend_transactions """ await DBSpendUpdateWriter._update_daily_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_transactions, entity_type="org", entity_id_field="organization_id", table_name="litellm_dailyorganizationspend", unique_constraint_name="organization_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint", ) @staticmethod async def update_daily_end_user_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyEndUserSpendTransaction], ): """ Batch job to update LiteLLM_DailyEndUserSpend table using in-memory daily_spend_transactions """ await DBSpendUpdateWriter._update_daily_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_transactions, entity_type="end_user", entity_id_field="end_user_id", table_name="litellm_dailyenduserspend", unique_constraint_name="end_user_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint", ) @staticmethod async def update_daily_agent_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyAgentSpendTransaction], ): """ Batch job to update LiteLLM_DailyAgentSpend table using in-memory daily_spend_transactions """ await DBSpendUpdateWriter._update_daily_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_transactions, entity_type="agent", entity_id_field="agent_id", table_name="litellm_dailyagentspend", unique_constraint_name="agent_id_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint", ) @staticmethod async def update_daily_tag_spend( n_retry_times: int, prisma_client: PrismaClient, proxy_logging_obj: ProxyLogging, daily_spend_transactions: Dict[str, DailyTagSpendTransaction], ): """ Batch job to update LiteLLM_DailyTagSpend table using in-memory daily_spend_transactions """ await DBSpendUpdateWriter._update_daily_spend( n_retry_times=n_retry_times, prisma_client=prisma_client, proxy_logging_obj=proxy_logging_obj, daily_spend_transactions=daily_spend_transactions, entity_type="tag", entity_id_field="tag", table_name="litellm_dailytagspend", unique_constraint_name="tag_date_api_key_model_custom_llm_provider_mcp_namespaced_tool_name_endpoint", ) async def _common_add_spend_log_transaction_to_daily_transaction( self, payload: Union[dict, SpendLogsPayload], prisma_client: PrismaClient, type: Literal[ "user", "team", "org", "request_tags", "end_user", "agent" ] = "user", ) -> Optional[BaseDailySpendTransaction]: common_expected_keys = ["startTime", "api_key"] if type == "user": expected_keys = ["user", *common_expected_keys] elif type == "team": expected_keys = ["team_id", *common_expected_keys] elif type == "org": expected_keys = ["organization_id", *common_expected_keys] elif type == "request_tags": expected_keys = ["request_tags", *common_expected_keys] elif type == "end_user": expected_keys = ["end_user_id", *common_expected_keys] elif type == "agent": expected_keys = ["agent_id", *common_expected_keys] else: raise ValueError(f"Invalid type: {type}") if not all(key in payload for key in expected_keys): verbose_proxy_logger.debug( f"Missing expected keys: {expected_keys}, in payload, skipping from daily_user_spend_transactions" ) return None any_expected_keys = ["model", "mcp_namespaced_tool_name"] if not any(key in payload for key in any_expected_keys): verbose_proxy_logger.debug( f"Missing any expected keys: {any_expected_keys}, in payload, skipping from daily_user_spend_transactions" ) return None elif "mcp_namespaced_tool_name" in payload: pass elif "model" in payload and ( "custom_llm_provider" not in payload or "model_group" not in payload ): verbose_proxy_logger.debug( "Missing custom_llm_provider or model_group in payload, skipping from daily_user_spend_transactions" ) return None request_status = prisma_client.get_request_status(payload) verbose_proxy_logger.debug(f"Logged request status: {request_status}") _metadata: SpendLogsMetadata = json.loads(payload["metadata"]) usage_obj = _metadata.get("usage_object", {}) or {} if isinstance(payload["startTime"], datetime): start_time = payload["startTime"].isoformat() date = start_time.split("T")[0] elif isinstance(payload["startTime"], str): date = payload["startTime"].split("T")[0] else: verbose_proxy_logger.debug( f"Invalid start time: {payload['startTime']}, skipping from daily_user_spend_transactions" ) return None try: # Map call_type to endpoint using ROUTE_ENDPOINT_MAPPING call_type = payload.get("call_type", None) endpoint = None if call_type: endpoint = ROUTE_ENDPOINT_MAPPING.get(call_type, None) daily_transaction = BaseDailySpendTransaction( date=date, api_key=payload["api_key"], model=payload.get("model", None), model_group=payload.get("model_group", None), mcp_namespaced_tool_name=payload.get("mcp_namespaced_tool_name", None), custom_llm_provider=payload.get("custom_llm_provider", None), endpoint=endpoint, prompt_tokens=payload["prompt_tokens"], completion_tokens=payload["completion_tokens"], spend=payload["spend"], api_requests=1, successful_requests=1 if request_status == "success" else 0, failed_requests=1 if request_status != "success" else 0, cache_read_input_tokens=usage_obj.get("cache_read_input_tokens", 0) or 0, cache_creation_input_tokens=usage_obj.get( "cache_creation_input_tokens", 0 ) or 0, ) return daily_transaction except Exception as e: raise e async def add_spend_log_transaction_to_daily_user_transaction( self, payload: Union[dict, SpendLogsPayload], prisma_client: Optional[PrismaClient] = None, ): """ Add a spend log transaction to the `daily_spend_update_queue` Key = @@unique([user_id, date, api_key, model, custom_llm_provider]) ) If key exists, update the transaction with the new spend and usage """ if prisma_client is None: verbose_proxy_logger.debug( "prisma_client is None. Skipping writing spend logs to db." ) return base_daily_transaction = ( await self._common_add_spend_log_transaction_to_daily_transaction( payload, prisma_client, "user" ) ) if base_daily_transaction is None: return endpoint_str = base_daily_transaction.get("endpoint") or "" daily_transaction_key = f"{payload['user']}_{base_daily_transaction['date']}_{payload['api_key']}_{payload['model']}_{payload['custom_llm_provider']}_{endpoint_str}" daily_transaction = DailyUserSpendTransaction( user_id=payload["user"], **base_daily_transaction ) await self.daily_spend_update_queue.add_update( update={daily_transaction_key: daily_transaction} ) async def add_spend_log_transaction_to_daily_team_transaction( self, payload: SpendLogsPayload, prisma_client: Optional[PrismaClient] = None, ) -> None: if prisma_client is None: verbose_proxy_logger.debug( "prisma_client is None. Skipping writing spend logs to db." ) return base_daily_transaction = ( await self._common_add_spend_log_transaction_to_daily_transaction( payload, prisma_client, "team" ) ) if base_daily_transaction is None: return if payload["team_id"] is None: verbose_proxy_logger.debug( "team_id is None for request. Skipping incrementing team spend." ) return endpoint_str = base_daily_transaction.get("endpoint") or "" daily_transaction_key = f"{payload['team_id']}_{base_daily_transaction['date']}_{payload['api_key']}_{payload['model']}_{payload['custom_llm_provider']}_{endpoint_str}" daily_transaction = DailyTeamSpendTransaction( team_id=payload["team_id"], **base_daily_transaction ) await self.daily_team_spend_update_queue.add_update( update={daily_transaction_key: daily_transaction} ) async def add_spend_log_transaction_to_daily_org_transaction( self, payload: SpendLogsPayload, prisma_client: Optional[PrismaClient] = None, org_id: Optional[str] = None, ) -> None: if prisma_client is None: verbose_proxy_logger.debug( "prisma_client is None. Skipping writing spend logs to db." ) return if org_id is None: verbose_proxy_logger.debug( "organization_id is None for request. Skipping incrementing organization spend." ) return payload_with_org = cast( SpendLogsPayload, { **payload, "organization_id": org_id, }, ) base_daily_transaction = ( await self._common_add_spend_log_transaction_to_daily_transaction( payload_with_org, prisma_client, "org" ) ) if base_daily_transaction is None: return endpoint_str = base_daily_transaction.get("endpoint") or "" daily_transaction_key = f"{org_id}_{base_daily_transaction['date']}_{payload_with_org['api_key']}_{payload_with_org['model']}_{payload_with_org['custom_llm_provider']}_{endpoint_str}" daily_transaction = DailyOrganizationSpendTransaction( organization_id=org_id, **base_daily_transaction ) await self.daily_org_spend_update_queue.add_update( update={daily_transaction_key: daily_transaction} ) async def add_spend_log_transaction_to_daily_end_user_transaction( self, payload: SpendLogsPayload, prisma_client: Optional[PrismaClient] = None, ) -> None: if prisma_client is None: verbose_proxy_logger.debug( "prisma_client is None. Skipping writing spend logs to db." ) return end_user_id = payload.get("end_user") if end_user_id is None or end_user_id == "": verbose_proxy_logger.debug( "end_user is None or empty for request. Skipping incrementing end user spend." ) return payload_with_end_user_id = cast( SpendLogsPayload, { **payload, "end_user_id": end_user_id, }, ) base_daily_transaction = ( await self._common_add_spend_log_transaction_to_daily_transaction( payload_with_end_user_id, prisma_client, "end_user" ) ) if base_daily_transaction is None: return endpoint_str = base_daily_transaction.get("endpoint") or "" daily_transaction_key = f"{end_user_id}_{base_daily_transaction['date']}_{payload_with_end_user_id['api_key']}_{payload_with_end_user_id['model']}_{payload_with_end_user_id['custom_llm_provider']}_{endpoint_str}" daily_transaction = DailyEndUserSpendTransaction( end_user_id=end_user_id, **base_daily_transaction ) await self.daily_end_user_spend_update_queue.add_update( update={daily_transaction_key: daily_transaction} ) async def add_spend_log_transaction_to_daily_agent_transaction( self, payload: SpendLogsPayload, prisma_client: Optional[PrismaClient] = None, ) -> None: if prisma_client is None: verbose_proxy_logger.debug( "prisma_client is None. Skipping writing spend logs to db." ) return if payload["agent_id"] is None: return payload_with_agent_id = cast( SpendLogsPayload, { **payload, "agent_id": payload["agent_id"], }, ) base_daily_transaction = ( await self._common_add_spend_log_transaction_to_daily_transaction( payload_with_agent_id, prisma_client, "agent" ) ) if base_daily_transaction is None: return endpoint_str = base_daily_transaction.get("endpoint") or "" daily_transaction_key = f"{payload['agent_id']}_{base_daily_transaction['date']}_{payload_with_agent_id['api_key']}_{payload_with_agent_id['model']}_{payload_with_agent_id['custom_llm_provider']}_{endpoint_str}" daily_transaction = DailyAgentSpendTransaction( agent_id=payload["agent_id"], **base_daily_transaction ) await self.daily_agent_spend_update_queue.add_update( update={daily_transaction_key: daily_transaction} ) async def add_spend_log_transaction_to_daily_tag_transaction( self, payload: SpendLogsPayload, prisma_client: Optional[PrismaClient] = None, ) -> None: if prisma_client is None: verbose_proxy_logger.debug( "prisma_client is None. Skipping writing spend logs to db." ) return base_daily_transaction = ( await self._common_add_spend_log_transaction_to_daily_transaction( payload, prisma_client, "request_tags" ) ) if base_daily_transaction is None: return if payload["request_tags"] is None: verbose_proxy_logger.debug( "request_tags is None for request. Skipping incrementing tag spend." ) return request_tags = [] if isinstance(payload["request_tags"], str): request_tags = json.loads(payload["request_tags"]) elif isinstance(payload["request_tags"], list): request_tags = payload["request_tags"] else: raise ValueError(f"Invalid request_tags: {payload['request_tags']}") for tag in request_tags: endpoint_str = base_daily_transaction.get("endpoint") or "" daily_transaction_key = f"{tag}_{base_daily_transaction['date']}_{payload['api_key']}_{payload['model']}_{payload['custom_llm_provider']}_{endpoint_str}" daily_transaction = DailyTagSpendTransaction( tag=tag, **base_daily_transaction, request_id=payload["request_id"] ) await self.daily_tag_spend_update_queue.add_update( update={daily_transaction_key: daily_transaction} )