mirror of
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Merge 3bfc77ac18 into fe87b187c6
This commit is contained in:
devin-ai-integration[bot]
GitHub
commit
8244f5ef1e
10 changed files with 512 additions and 17 deletions
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@ -1534,6 +1534,7 @@ KEY_ROTATION_JOB_NAME: Final = "litellm_key_rotation_job"
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EXPIRED_UI_SESSION_KEY_CLEANUP_JOB_NAME: Final = "litellm_expired_ui_session_key_cleanup_job"
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WEEKLY_SPEND_REPORT_JOB_ID: Final = "weekly_spend_report_job"
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MONTHLY_SPEND_REPORT_JOB_ID: Final = "monthly_spend_report_job"
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USER_SPEND_ALERTS_JOB_ID: Final = "user_spend_alerts_job"
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PROMETHEUS_FALLBACK_STATS_JOB_ID: Final = "prometheus_fallback_stats_job"
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SLACK_DAILY_REPORT_LOCK_ID: Final = "slack_daily_report"
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SLACK_MODEL_DEPRECATION_LOCK_ID: Final = "slack_model_deprecation_warning"
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@ -61,6 +61,7 @@ from .utils import process_slack_alerting_variables
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if TYPE_CHECKING:
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from litellm.proxy.db.db_transaction_queue.pod_lock_manager import PodLockManager
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from litellm.proxy.utils import PrismaClient
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from litellm.router import Router as _Router
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Router = _Router
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@ -1897,6 +1898,69 @@ Model Info:
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except Exception as e:
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verbose_proxy_logger.exception("Error sending weekly spend report %s", e)
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async def send_user_spend_alerts(self, prisma_client: "PrismaClient | None" = None) -> None:
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"""Check per-user daily/monthly spend thresholds and spend anomalies, alerting once per user per period."""
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if self.alerting is None or "slack" not in self.alerting:
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return
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thresholds_enabled: Final = AlertType.user_spend_thresholds in self.alert_types
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anomalies_enabled: Final = AlertType.user_spend_anomalies in self.alert_types
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if not thresholds_enabled and not anomalies_enabled:
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return
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if prisma_client is None:
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from litellm.proxy.proxy_server import prisma_client as global_prisma_client
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prisma_client = global_prisma_client # rebind-ok: fall back to the proxy's global client
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if prisma_client is None:
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return
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from litellm.integrations.SlackAlerting.user_spend_alerts import (
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evaluate_user_spend,
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fetch_user_spend_rows,
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)
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try:
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today: Final = datetime.datetime.now(datetime.timezone.utc).date()
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rows: Final = await fetch_user_spend_rows(
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prisma_client=prisma_client,
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today=today,
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baseline_days=self.alerting_args.spend_anomaly_baseline_days,
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)
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all_events: Final = tuple(
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event
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for row in rows
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for event in evaluate_user_spend(
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row=row,
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args=self.alerting_args,
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today=today,
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thresholds_enabled=thresholds_enabled,
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anomalies_enabled=anomalies_enabled,
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)
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)
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cached_flags: Final = await asyncio.gather(
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*(self.internal_usage_cache.async_get_cache(key=event.cache_key) for event in all_events)
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)
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new_events: Final = tuple(event for event, cached in zip(all_events, cached_flags) if not cached)
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for alert_type in (AlertType.user_spend_thresholds, AlertType.user_spend_anomalies):
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typed_events = tuple(event for event in new_events if event.alert_type == alert_type)
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if not typed_events:
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continue
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await self.send_alert(
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message="\n\n".join(event.message for event in typed_events),
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level="High",
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alert_type=alert_type,
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alerting_metadata={}, # mutable-ok: send_alert takes a dict payload
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)
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for event in typed_events:
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await self.internal_usage_cache.async_set_cache(
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key=event.cache_key,
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value="SENT",
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ttl=event.cache_ttl,
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)
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except Exception as e: # noqa: BLE001 # background job must not crash the scheduler
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verbose_proxy_logger.exception("Error sending user spend alerts: %s", e)
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async def send_fallback_stats_from_prometheus(self):
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"""
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Helper to send fallback statistics from prometheus server -> to slack
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139
litellm/integrations/SlackAlerting/user_spend_alerts.py
Normal file
139
litellm/integrations/SlackAlerting/user_spend_alerts.py
Normal file
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@ -0,0 +1,139 @@
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"""Per-user daily/monthly spend threshold alerts and spend anomaly detection."""
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import datetime
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from dataclasses import dataclass
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from typing import TYPE_CHECKING, Final, Literal
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from pydantic import TypeAdapter
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from litellm.constants import HOURS_IN_A_DAY
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from litellm.types.integrations.slack_alerting import AlertType, SlackAlertingArgs
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if TYPE_CHECKING:
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from litellm.proxy.utils import PrismaClient
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DAY_SECONDS: Final = HOURS_IN_A_DAY * 60 * 60
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MONTHLY_ALERT_TTL_SECONDS: Final = 32 * DAY_SECONDS
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USER_SPEND_QUERY: Final = """
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SELECT
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user_id,
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COALESCE(SUM(spend) FILTER (WHERE date = $1), 0)::float AS daily_spend,
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COALESCE(SUM(spend) FILTER (WHERE date >= $2), 0)::float AS monthly_spend,
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COALESCE(SUM(spend) FILTER (WHERE date >= $3 AND date < $1), 0)::float AS baseline_spend
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FROM "LiteLLM_DailyUserSpend"
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WHERE date >= LEAST($2, $3) AND user_id IS NOT NULL
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GROUP BY user_id
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HAVING COALESCE(SUM(spend) FILTER (WHERE date >= $2), 0) > 0
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"""
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@dataclass(frozen=True, slots=True)
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class UserSpendRow:
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user_id: str
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daily_spend: float
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monthly_spend: float
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baseline_spend: float
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@dataclass(frozen=True, slots=True)
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class UserSpendAlertEvent:
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kind: Literal["daily_threshold", "monthly_threshold", "anomaly"]
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alert_type: AlertType
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message: str
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cache_key: str
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cache_ttl: int
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USER_SPEND_ROWS_ADAPTER: Final = TypeAdapter(tuple[UserSpendRow, ...])
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async def fetch_user_spend_rows(
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prisma_client: "PrismaClient",
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today: datetime.date,
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baseline_days: int,
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) -> tuple[UserSpendRow, ...]:
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today_str: Final = today.strftime("%Y-%m-%d")
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month_start_str: Final = today.replace(day=1).strftime("%Y-%m-%d")
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baseline_start_str: Final = (today - datetime.timedelta(days=max(baseline_days, 1))).strftime("%Y-%m-%d")
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raw: Final = await prisma_client.db.query_raw(USER_SPEND_QUERY, today_str, month_start_str, baseline_start_str)
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return USER_SPEND_ROWS_ADAPTER.validate_python(raw)
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def _daily_threshold_event(row: UserSpendRow, args: SlackAlertingArgs, today_str: str) -> UserSpendAlertEvent | None:
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threshold: Final = args.daily_spend_per_user_threshold
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if threshold is None or row.daily_spend < threshold:
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return None
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return UserSpendAlertEvent(
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kind="daily_threshold",
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alert_type=AlertType.user_spend_thresholds,
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message=(
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f"User Daily Spend Threshold Crossed:\n"
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f"User: `{row.user_id}`\n"
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f"Spend Today: `${row.daily_spend:.2f}`\n"
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f"Daily Threshold: `${threshold:.2f}`"
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),
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cache_key=f"user_spend_alert_daily_{row.user_id}_{today_str}",
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cache_ttl=DAY_SECONDS,
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)
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def _monthly_threshold_event(row: UserSpendRow, args: SlackAlertingArgs, month_str: str) -> UserSpendAlertEvent | None:
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threshold: Final = args.monthly_spend_per_user_threshold
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if threshold is None or row.monthly_spend < threshold:
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return None
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return UserSpendAlertEvent(
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kind="monthly_threshold",
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alert_type=AlertType.user_spend_thresholds,
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message=(
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f"User Monthly Spend Threshold Crossed:\n"
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f"User: `{row.user_id}`\n"
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f"Spend This Month: `${row.monthly_spend:.2f}`\n"
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f"Monthly Threshold: `${threshold:.2f}`"
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),
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cache_key=f"user_spend_alert_monthly_{row.user_id}_{month_str}",
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cache_ttl=MONTHLY_ALERT_TTL_SECONDS,
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)
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def _anomaly_event(row: UserSpendRow, args: SlackAlertingArgs, today_str: str) -> UserSpendAlertEvent | None:
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if row.daily_spend < args.spend_anomaly_min_spend:
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return None
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baseline_daily_avg: Final = row.baseline_spend / args.spend_anomaly_baseline_days
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if row.baseline_spend > 0 and row.daily_spend <= args.spend_anomaly_multiplier * baseline_daily_avg:
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return None
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return UserSpendAlertEvent(
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kind="anomaly",
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alert_type=AlertType.user_spend_anomalies,
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message=(
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f"User Spend Anomaly Detected:\n"
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f"User: `{row.user_id}`\n"
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f"Spend Today: `${row.daily_spend:.2f}`\n"
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f"Daily Average (last {args.spend_anomaly_baseline_days} days): `${baseline_daily_avg:.2f}`\n"
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f"Trigger: spend above `{args.spend_anomaly_multiplier}x` the daily average "
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f"(minimum `${args.spend_anomaly_min_spend:.2f}`)"
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),
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cache_key=f"user_spend_alert_anomaly_{row.user_id}_{today_str}",
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cache_ttl=DAY_SECONDS,
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)
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def evaluate_user_spend(
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row: UserSpendRow,
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args: SlackAlertingArgs,
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today: datetime.date,
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thresholds_enabled: bool,
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anomalies_enabled: bool,
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) -> tuple[UserSpendAlertEvent, ...]:
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today_str: Final = today.strftime("%Y-%m-%d")
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month_str: Final = today.strftime("%Y-%m")
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threshold_events: Final = (
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(
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_daily_threshold_event(row=row, args=args, today_str=today_str),
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_monthly_threshold_event(row=row, args=args, month_str=month_str),
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)
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if thresholds_enabled
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else ()
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)
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anomaly_events: Final = (_anomaly_event(row=row, args=args, today_str=today_str),) if anomalies_enabled else ()
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return tuple(event for event in (*threshold_events, *anomaly_events) if event is not None)
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@ -248,6 +248,7 @@ from litellm.constants import (
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PROXY_BUDGET_RESCHEDULER_MAX_TIME,
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PROXY_BUDGET_RESCHEDULER_MIN_TIME,
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PROXY_CONFIG_RELOAD_INTERVAL_SECONDS,
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USER_SPEND_ALERTS_JOB_ID,
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WEEKLY_SPEND_REPORT_JOB_ID,
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)
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from litellm.exceptions import RejectedRequestError
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@ -9633,6 +9634,35 @@ class ProxyStartupEvent:
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replace_existing=True,
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)
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slack_alerting_args: Final = proxy_logging_obj.slack_alerting_instance.alerting_args
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user_spend_check_interval: Final = (
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slack_alerting_args.user_spend_check_interval
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if isinstance(slack_alerting_args, SlackAlertingArgs) # pyright: ignore[reportUnnecessaryIsInstance] # tests inject a mock slack_alerting_instance
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else SlackAlertingArgs().user_spend_check_interval
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)
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async def _scheduled_user_spend_alerts() -> None:
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if (
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await pod_lock_manager.acquire_lock(
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cronjob_id=USER_SPEND_ALERTS_JOB_ID,
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ttl=max(user_spend_check_interval - 60, 60),
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allow_reentrant=False,
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)
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is False
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):
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return
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await proxy_logging_obj.slack_alerting_instance.send_user_spend_alerts()
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scheduler.add_job(
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_scheduled_user_spend_alerts,
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"interval",
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seconds=user_spend_check_interval,
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next_run_time=datetime.now() + timedelta(seconds=10 + random.randint(0, 60)),
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id=USER_SPEND_ALERTS_JOB_ID,
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replace_existing=True,
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misfire_grace_time=APSCHEDULER_MISFIRE_GRACE_TIME,
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)
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if os.getenv("PROMETHEUS_URL"):
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from zoneinfo import ZoneInfo
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@ -14662,17 +14692,25 @@ async def alerting_settings(
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alerting_args_dict = {}
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alerting_values = None
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allowed_args: Final = {
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"slack_alerting": {"type": "Boolean"},
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"daily_report_frequency": {"type": "Integer"},
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"report_check_interval": {"type": "Integer"},
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"budget_alert_ttl": {"type": "Integer"},
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"outage_alert_ttl": {"type": "Integer"},
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"region_outage_alert_ttl": {"type": "Integer"},
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"minor_outage_alert_threshold": {"type": "Integer"},
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"major_outage_alert_threshold": {"type": "Integer"},
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"max_outage_alert_list_size": {"type": "Integer"},
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}
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allowed_args: Final = MappingProxyType(
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{
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"slack_alerting": "Boolean",
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"daily_report_frequency": "Integer",
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"report_check_interval": "Integer",
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"budget_alert_ttl": "Integer",
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"outage_alert_ttl": "Integer",
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"region_outage_alert_ttl": "Integer",
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"minor_outage_alert_threshold": "Integer",
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"major_outage_alert_threshold": "Integer",
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"max_outage_alert_list_size": "Integer",
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"daily_spend_per_user_threshold": "Float",
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"monthly_spend_per_user_threshold": "Float",
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"spend_anomaly_multiplier": "Float",
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"spend_anomaly_baseline_days": "Integer",
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"spend_anomaly_min_spend": "Float",
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"user_spend_check_interval": "Integer",
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}
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)
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_slack_alerting: Final[SlackAlerting] = proxy_logging_obj.slack_alerting_instance
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_slack_alerting_args_dict: Final = _slack_alerting.alerting_args.model_dump()
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@ -14687,7 +14725,7 @@ async def alerting_settings(
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_response_obj = ConfigList(
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field_name="slack_alerting",
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field_type=allowed_args["slack_alerting"]["type"],
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field_type=allowed_args["slack_alerting"],
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field_description="Enable slack alerting for monitoring proxy in production: llm outages, budgets, spend tracking failures.",
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field_value=is_slack_enabled,
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stored_in_db=True if alerting_values is not None else False,
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|
|
@ -14706,7 +14744,7 @@ async def alerting_settings(
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_response_obj = ConfigList(
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field_name=field_name,
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field_type=allowed_args[field_name]["type"],
|
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field_type=allowed_args[field_name],
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field_description=field_info.description or "",
|
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field_value=_slack_alerting_args_dict.get(field_name, None),
|
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stored_in_db=_stored_in_db,
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|
|
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|||
|
|
@ -91,6 +91,40 @@ class SlackAlertingArgs(LiteLLMPydanticObjectBase):
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default=False,
|
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description="If true, the alerting payload will be printed to the console.",
|
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)
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daily_spend_per_user_threshold: float | None = Field(
|
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default=None,
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gt=0,
|
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allow_inf_nan=False,
|
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description="Alert when a user's spend for the current day (UTC) crosses this USD amount. Off by default.",
|
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)
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monthly_spend_per_user_threshold: float | None = Field(
|
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default=None,
|
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gt=0,
|
||||
allow_inf_nan=False,
|
||||
description="Alert when a user's spend for the current calendar month (UTC) crosses this USD amount. Off by default.",
|
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)
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spend_anomaly_multiplier: float = Field(
|
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default=3.0,
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gt=0,
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allow_inf_nan=False,
|
||||
description="Flag a user's spend as anomalous when today's spend exceeds this multiple of their trailing daily average.",
|
||||
)
|
||||
spend_anomaly_baseline_days: int = Field(
|
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default=7,
|
||||
ge=1,
|
||||
description="Number of trailing days used to compute a user's daily average spend for anomaly detection.",
|
||||
)
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||||
spend_anomaly_min_spend: float = Field(
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default=10.0,
|
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gt=0,
|
||||
allow_inf_nan=False,
|
||||
description="Minimum spend (USD) a user must reach today before an anomaly alert can fire. Reduces false positives.",
|
||||
)
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||||
user_spend_check_interval: int = Field(
|
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default=3600,
|
||||
ge=60,
|
||||
description="How often (in seconds) to check per-user spend thresholds and anomalies. Default is hourly.",
|
||||
)
|
||||
|
||||
|
||||
class DeploymentMetrics(LiteLLMPydanticObjectBase):
|
||||
|
|
@ -138,6 +172,8 @@ class AlertType(str, Enum):
|
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budget_alerts = "budget_alerts"
|
||||
spend_reports = "spend_reports"
|
||||
failed_tracking_spend = "failed_tracking_spend"
|
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user_spend_thresholds = "user_spend_thresholds"
|
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user_spend_anomalies = "user_spend_anomalies"
|
||||
|
||||
# Database alerts
|
||||
db_exceptions = "db_exceptions"
|
||||
|
|
@ -182,6 +218,7 @@ DEFAULT_ALERT_TYPES: Final[list[AlertType]] = [
|
|||
AlertType.budget_alerts,
|
||||
AlertType.spend_reports,
|
||||
AlertType.failed_tracking_spend,
|
||||
AlertType.user_spend_thresholds,
|
||||
# Database alerts
|
||||
AlertType.db_exceptions,
|
||||
# Report alerts
|
||||
|
|
|
|||
|
|
@ -0,0 +1,193 @@
|
|||
import datetime
|
||||
from typing import Final
|
||||
from unittest.mock import AsyncMock, patch
|
||||
|
||||
import pytest
|
||||
from pydantic import ValidationError
|
||||
|
||||
from litellm.integrations.SlackAlerting.slack_alerting import SlackAlerting
|
||||
from litellm.integrations.SlackAlerting.user_spend_alerts import (
|
||||
UserSpendRow,
|
||||
evaluate_user_spend,
|
||||
)
|
||||
from litellm.types.integrations.slack_alerting import (
|
||||
DEFAULT_ALERT_TYPES,
|
||||
AlertType,
|
||||
SlackAlertingArgs,
|
||||
)
|
||||
|
||||
TODAY: Final = datetime.date(2026, 8, 15)
|
||||
|
||||
|
||||
def _row(
|
||||
daily_spend: float = 0.0,
|
||||
monthly_spend: float = 0.0,
|
||||
baseline_spend: float = 0.0,
|
||||
) -> UserSpendRow:
|
||||
return UserSpendRow(
|
||||
user_id="user-1",
|
||||
daily_spend=daily_spend,
|
||||
monthly_spend=monthly_spend,
|
||||
baseline_spend=baseline_spend,
|
||||
)
|
||||
|
||||
|
||||
def _evaluate(row: UserSpendRow, args: SlackAlertingArgs, thresholds: bool = True, anomalies: bool = True):
|
||||
return evaluate_user_spend(
|
||||
row=row,
|
||||
args=args,
|
||||
today=TODAY,
|
||||
thresholds_enabled=thresholds,
|
||||
anomalies_enabled=anomalies,
|
||||
)
|
||||
|
||||
|
||||
def test_daily_threshold_crossed():
|
||||
args: Final = SlackAlertingArgs(daily_spend_per_user_threshold=50.0, spend_anomaly_min_spend=1000.0)
|
||||
events: Final = _evaluate(_row(daily_spend=75.0, monthly_spend=75.0), args)
|
||||
assert [e.kind for e in events] == ["daily_threshold"]
|
||||
assert "`$75.00`" in events[0].message
|
||||
assert "`$50.00`" in events[0].message
|
||||
assert events[0].alert_type == AlertType.user_spend_thresholds
|
||||
assert events[0].cache_key == "user_spend_alert_daily_user-1_2026-08-15"
|
||||
|
||||
|
||||
def test_daily_threshold_not_crossed():
|
||||
args: Final = SlackAlertingArgs(daily_spend_per_user_threshold=50.0, spend_anomaly_min_spend=1000.0)
|
||||
assert _evaluate(_row(daily_spend=49.99, monthly_spend=49.99), args) == ()
|
||||
|
||||
|
||||
def test_thresholds_unset_by_default():
|
||||
args: Final = SlackAlertingArgs(spend_anomaly_min_spend=1000.0)
|
||||
assert _evaluate(_row(daily_spend=999.0, monthly_spend=999.0), args) == ()
|
||||
|
||||
|
||||
def test_monthly_threshold_crossed():
|
||||
args: Final = SlackAlertingArgs(monthly_spend_per_user_threshold=200.0, spend_anomaly_min_spend=1000.0)
|
||||
events: Final = _evaluate(_row(daily_spend=5.0, monthly_spend=250.0), args)
|
||||
assert [e.kind for e in events] == ["monthly_threshold"]
|
||||
assert events[0].cache_key == "user_spend_alert_monthly_user-1_2026-08"
|
||||
|
||||
|
||||
def test_thresholds_disabled_suppresses_threshold_events():
|
||||
args: Final = SlackAlertingArgs(
|
||||
daily_spend_per_user_threshold=50.0,
|
||||
monthly_spend_per_user_threshold=200.0,
|
||||
spend_anomaly_min_spend=1000.0,
|
||||
)
|
||||
assert _evaluate(_row(daily_spend=75.0, monthly_spend=250.0), args, thresholds=False) == ()
|
||||
|
||||
|
||||
def test_anomaly_detected_above_multiple_of_baseline():
|
||||
args: Final = SlackAlertingArgs(spend_anomaly_multiplier=3.0, spend_anomaly_min_spend=10.0)
|
||||
events: Final = _evaluate(
|
||||
_row(daily_spend=70.0, monthly_spend=100.0, baseline_spend=70.0), args
|
||||
)
|
||||
assert [e.kind for e in events] == ["anomaly"]
|
||||
assert events[0].alert_type == AlertType.user_spend_anomalies
|
||||
assert "`$10.00`" in events[0].message
|
||||
assert events[0].cache_key == "user_spend_alert_anomaly_user-1_2026-08-15"
|
||||
|
||||
|
||||
def test_no_anomaly_within_baseline_multiple():
|
||||
args: Final = SlackAlertingArgs(spend_anomaly_multiplier=3.0, spend_anomaly_min_spend=10.0)
|
||||
assert (
|
||||
_evaluate(_row(daily_spend=25.0, monthly_spend=100.0, baseline_spend=70.0), args) == ()
|
||||
)
|
||||
|
||||
|
||||
def test_no_anomaly_below_min_spend_floor():
|
||||
args: Final = SlackAlertingArgs(spend_anomaly_multiplier=3.0, spend_anomaly_min_spend=10.0)
|
||||
assert _evaluate(_row(daily_spend=9.0, monthly_spend=9.0, baseline_spend=0.1), args) == ()
|
||||
|
||||
|
||||
def test_anomaly_for_new_user_without_baseline():
|
||||
args: Final = SlackAlertingArgs(spend_anomaly_multiplier=3.0, spend_anomaly_min_spend=10.0)
|
||||
events: Final = _evaluate(_row(daily_spend=15.0, monthly_spend=15.0), args)
|
||||
assert [e.kind for e in events] == ["anomaly"]
|
||||
|
||||
|
||||
def test_sparse_baseline_averages_over_full_window():
|
||||
args: Final = SlackAlertingArgs(
|
||||
spend_anomaly_multiplier=3.0, spend_anomaly_min_spend=10.0, spend_anomaly_baseline_days=7
|
||||
)
|
||||
events: Final = _evaluate(_row(daily_spend=13.0, monthly_spend=20.0, baseline_spend=7.0), args)
|
||||
assert [e.kind for e in events] == ["anomaly"]
|
||||
|
||||
|
||||
def test_anomalies_not_in_default_alert_types():
|
||||
assert AlertType.user_spend_anomalies not in DEFAULT_ALERT_TYPES
|
||||
assert AlertType.user_spend_thresholds in DEFAULT_ALERT_TYPES
|
||||
|
||||
|
||||
def test_invalid_config_rejected():
|
||||
with pytest.raises(ValidationError, match="daily_spend_per_user_threshold"):
|
||||
SlackAlertingArgs(daily_spend_per_user_threshold=0)
|
||||
with pytest.raises(ValidationError, match="spend_anomaly_baseline_days"):
|
||||
SlackAlertingArgs(spend_anomaly_baseline_days=0)
|
||||
with pytest.raises(ValidationError, match="user_spend_check_interval"):
|
||||
SlackAlertingArgs(user_spend_check_interval=10)
|
||||
|
||||
|
||||
def test_non_finite_config_rejected():
|
||||
with pytest.raises(ValidationError, match="daily_spend_per_user_threshold"):
|
||||
SlackAlertingArgs(daily_spend_per_user_threshold=float("inf"))
|
||||
with pytest.raises(ValidationError, match="spend_anomaly_multiplier"):
|
||||
SlackAlertingArgs(spend_anomaly_multiplier=float("nan"))
|
||||
with pytest.raises(ValidationError, match="spend_anomaly_min_spend"):
|
||||
SlackAlertingArgs(spend_anomaly_min_spend=float("inf"))
|
||||
with pytest.raises(ValidationError, match="user_spend_check_interval"):
|
||||
SlackAlertingArgs(user_spend_check_interval=float("inf"))
|
||||
|
||||
|
||||
def test_anomalies_disabled_suppresses_anomaly_events():
|
||||
args: Final = SlackAlertingArgs(spend_anomaly_multiplier=3.0, spend_anomaly_min_spend=10.0)
|
||||
assert _evaluate(_row(daily_spend=500.0, monthly_spend=500.0), args, anomalies=False) == ()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_send_user_spend_alerts_sends_and_dedupes():
|
||||
slack_alerting: Final = SlackAlerting(
|
||||
alerting=["slack"],
|
||||
alerting_args={"daily_spend_per_user_threshold": 50.0, "spend_anomaly_min_spend": 1000.0},
|
||||
)
|
||||
mock_prisma: Final = AsyncMock()
|
||||
mock_prisma.db.query_raw = AsyncMock(
|
||||
return_value=[
|
||||
{
|
||||
"user_id": "user-1",
|
||||
"daily_spend": 75.0,
|
||||
"monthly_spend": 75.0,
|
||||
"baseline_spend": 0.0,
|
||||
},
|
||||
{
|
||||
"user_id": "user-2",
|
||||
"daily_spend": 60.0,
|
||||
"monthly_spend": 60.0,
|
||||
"baseline_spend": 0.0,
|
||||
},
|
||||
]
|
||||
)
|
||||
with patch.object(slack_alerting, "send_alert", new_callable=AsyncMock) as mock_send_alert:
|
||||
await slack_alerting.send_user_spend_alerts(prisma_client=mock_prisma)
|
||||
assert mock_send_alert.call_count == 1
|
||||
sent_kwargs: Final = mock_send_alert.call_args.kwargs
|
||||
assert sent_kwargs["alert_type"] == AlertType.user_spend_thresholds
|
||||
assert "User Daily Spend Threshold Crossed" in sent_kwargs["message"]
|
||||
assert "`user-1`" in sent_kwargs["message"]
|
||||
assert "`user-2`" in sent_kwargs["message"]
|
||||
|
||||
await slack_alerting.send_user_spend_alerts(prisma_client=mock_prisma)
|
||||
assert mock_send_alert.call_count == 1
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_send_user_spend_alerts_noop_when_alert_types_disabled():
|
||||
slack_alerting: Final = SlackAlerting(
|
||||
alerting=["slack"],
|
||||
alert_types=[AlertType.budget_alerts],
|
||||
alerting_args={"daily_spend_per_user_threshold": 50.0},
|
||||
)
|
||||
mock_prisma: Final = AsyncMock()
|
||||
await slack_alerting.send_user_spend_alerts(prisma_client=mock_prisma)
|
||||
mock_prisma.db.query_raw.assert_not_called()
|
||||
|
|
@ -38,6 +38,14 @@ const SETTINGS: Setting[] = [
|
|||
stored_in_db: null,
|
||||
premium_field: false,
|
||||
},
|
||||
{
|
||||
field_name: "daily_spend_per_user_threshold",
|
||||
field_description: "Daily spend threshold per user",
|
||||
field_type: "Float",
|
||||
field_value: 5.5,
|
||||
stored_in_db: true,
|
||||
premium_field: false,
|
||||
},
|
||||
];
|
||||
|
||||
const renderForm = (
|
||||
|
|
@ -170,6 +178,19 @@ describe("DynamicForm change notifications", () => {
|
|||
expect(handleInputChange).toHaveBeenCalledWith("daily_report_frequency", 128);
|
||||
});
|
||||
|
||||
it("renders a Float field as a decimal-friendly number input and reports changes as numbers", async () => {
|
||||
const user = userEvent.setup();
|
||||
const { handleInputChange } = renderForm();
|
||||
|
||||
const input = screen.getByDisplayValue("5.5");
|
||||
expect(input).toHaveAttribute("type", "number");
|
||||
expect(input).toHaveAttribute("step", "any");
|
||||
|
||||
await user.type(input, "1");
|
||||
|
||||
expect(handleInputChange).toHaveBeenCalledWith("daily_spend_per_user_threshold", 5.51);
|
||||
});
|
||||
|
||||
it("reports a reset with the field name and its row index", async () => {
|
||||
const user = userEvent.setup();
|
||||
const { handleResetField } = renderForm();
|
||||
|
|
@ -216,7 +237,7 @@ describe("DynamicForm presentation", () => {
|
|||
|
||||
expect(screen.getByText("daily_report_frequency")).toBeInTheDocument();
|
||||
expect(screen.getByText("How often the report runs")).toBeInTheDocument();
|
||||
expect(screen.getByText("In DB")).toBeInTheDocument();
|
||||
expect(screen.getAllByText("In DB")).toHaveLength(2);
|
||||
expect(screen.getByText("In Config")).toBeInTheDocument();
|
||||
expect(screen.getByText("Not Set")).toBeInTheDocument();
|
||||
});
|
||||
|
|
|
|||
|
|
@ -63,11 +63,11 @@ const DynamicForm: React.FC<DynamicFormProps> = ({
|
|||
};
|
||||
|
||||
const renderControl = (setting: AlertingSetting) => {
|
||||
if (setting.field_type === "Integer") {
|
||||
if (setting.field_type === "Integer" || setting.field_type === "Float") {
|
||||
return (
|
||||
<Input
|
||||
type="number"
|
||||
step={1}
|
||||
step={setting.field_type === "Integer" ? 1 : "any"}
|
||||
value={setting.field_value ?? ""}
|
||||
onChange={(event) => handleNumericChange(setting, event.target.value)}
|
||||
/>
|
||||
|
|
|
|||
|
|
@ -292,6 +292,8 @@ const Settings: React.FC<SettingsPageProps> = ({ accessToken, userRole, userID,
|
|||
llm_too_slow: "LLM Responses Too Slow",
|
||||
llm_requests_hanging: "LLM Requests Hanging",
|
||||
budget_alerts: "Budget Alerts (API Keys, Users)",
|
||||
user_spend_thresholds: "User Spend Thresholds (Daily/Monthly)",
|
||||
user_spend_anomalies: "User Spend Anomaly Detection",
|
||||
db_exceptions: "Database Exceptions (Read/Write)",
|
||||
daily_reports: "Weekly/Monthly Spend Reports",
|
||||
outage_alerts: "Outage Alerts",
|
||||
|
|
|
|||
2
ui/litellm-dashboard/src/lib/http/schema.d.ts
generated
vendored
2
ui/litellm-dashboard/src/lib/http/schema.d.ts
generated
vendored
|
|
@ -22533,7 +22533,7 @@ export interface components {
|
|||
* @description Enum for alert types and management event types
|
||||
* @enum {string}
|
||||
*/
|
||||
AlertType: "llm_exceptions" | "llm_too_slow" | "llm_requests_hanging" | "budget_alerts" | "spend_reports" | "failed_tracking_spend" | "db_exceptions" | "daily_reports" | "cooldown_deployment" | "new_model_added" | "model_deprecation_warnings" | "outage_alerts" | "region_outage_alerts" | "fallback_reports" | "new_virtual_key_created" | "virtual_key_updated" | "virtual_key_deleted" | "new_team_created" | "team_updated" | "team_deleted" | "new_internal_user_created" | "internal_user_updated" | "internal_user_deleted";
|
||||
AlertType: "llm_exceptions" | "llm_too_slow" | "llm_requests_hanging" | "budget_alerts" | "spend_reports" | "failed_tracking_spend" | "user_spend_thresholds" | "user_spend_anomalies" | "db_exceptions" | "daily_reports" | "cooldown_deployment" | "new_model_added" | "model_deprecation_warnings" | "outage_alerts" | "region_outage_alerts" | "fallback_reports" | "new_virtual_key_created" | "virtual_key_updated" | "virtual_key_deleted" | "new_team_created" | "team_updated" | "team_deleted" | "new_internal_user_created" | "internal_user_updated" | "internal_user_deleted";
|
||||
/** AllowedVectorStoreIndexItem */
|
||||
AllowedVectorStoreIndexItem: {
|
||||
/** Index Name */
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue