feat(proxy): cleanup spend logs cron verification, fix, and docs (#19085)
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@ -30,6 +30,9 @@ general_settings:
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# Optional: set how frequently cleanup should run - default is daily
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maximum_spend_logs_retention_interval: "1d" # Run cleanup daily
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# Optional: set exact time for cleanup (Cron syntax)
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maximum_spend_logs_cleanup_cron: "0 4 * * *" # Run at 04:00 AM daily
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litellm_settings:
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cache: true
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cache_params:
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@ -51,6 +54,15 @@ How long logs should be kept before deletion. Supported formats:
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How often the cleanup job should run. Uses the same format as above. If not set, cleanup will run every 24 hours if and only if `maximum_spend_logs_retention_period` is set.
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#### `maximum_spend_logs_cleanup_cron` (optional)
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Schedule the cleanup using standard cron syntax. This takes precedence over `maximum_spend_logs_retention_interval`.
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Examples:
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- `"0 4 * * *"` – Run at 04:00 AM daily
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- `"0 0 * * 0"` – Run at midnight every Sunday
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- `"*/30 * * * *"` – Run every 30 minutes
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## How it works
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### Step 1. Lock Acquisition (Optional with Redis)
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@ -3240,20 +3240,22 @@ class ProxyConfig:
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) -> Optional[dict]:
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"""
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Get router_settings in priority order: Key > Team > Global
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Returns:
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dict: Combined router_settings, or None if no settings found
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"""
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if prisma_client is None:
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return None
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import json
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import yaml
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# 1. Try key-level router_settings
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if user_api_key_dict is not None:
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# Check if router_settings is available on the key object
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key_router_settings_value = getattr(user_api_key_dict, "router_settings", None)
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key_router_settings_value = getattr(
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user_api_key_dict, "router_settings", None
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)
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if key_router_settings_value is not None:
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key_router_settings = None
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if isinstance(key_router_settings_value, str):
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@ -3266,11 +3268,15 @@ class ProxyConfig:
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pass
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elif isinstance(key_router_settings_value, dict):
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key_router_settings = key_router_settings_value
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# If key has router_settings (non-empty dict), use it
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if key_router_settings is not None and isinstance(key_router_settings, dict) and key_router_settings:
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if (
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key_router_settings is not None
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and isinstance(key_router_settings, dict)
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and key_router_settings
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):
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return key_router_settings
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# 2. Try team-level router_settings
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if user_api_key_dict is not None and user_api_key_dict.team_id is not None:
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try:
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@ -3278,37 +3284,51 @@ class ProxyConfig:
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where={"team_id": user_api_key_dict.team_id}
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)
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if team_obj is not None:
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team_router_settings_value = getattr(team_obj, "router_settings", None)
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team_router_settings_value = getattr(
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team_obj, "router_settings", None
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)
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if team_router_settings_value is not None:
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team_router_settings = None
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if isinstance(team_router_settings_value, str):
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try:
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team_router_settings = yaml.safe_load(team_router_settings_value)
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team_router_settings = yaml.safe_load(
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team_router_settings_value
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)
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except (yaml.YAMLError, json.JSONDecodeError):
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try:
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team_router_settings = json.loads(team_router_settings_value)
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team_router_settings = json.loads(
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team_router_settings_value
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)
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except json.JSONDecodeError:
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pass
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elif isinstance(team_router_settings_value, dict):
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team_router_settings = team_router_settings_value
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# If team has router_settings (non-empty dict), use it
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if team_router_settings is not None and isinstance(team_router_settings, dict) and team_router_settings:
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if (
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team_router_settings is not None
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and isinstance(team_router_settings, dict)
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and team_router_settings
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):
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return team_router_settings
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except Exception:
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# If team lookup fails, continue to global settings
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pass
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# 3. Try global router_settings
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try:
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db_router_settings = await prisma_client.db.litellm_config.find_first(
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where={"param_name": "router_settings"}
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)
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if db_router_settings is not None and isinstance(db_router_settings.param_value, dict) and db_router_settings.param_value:
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if (
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db_router_settings is not None
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and isinstance(db_router_settings.param_value, dict)
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and db_router_settings.param_value
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):
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return db_router_settings.param_value
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except Exception:
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pass
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return None
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async def _add_router_settings_from_db_config(
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@ -4675,27 +4695,48 @@ class ProxyStartupEvent:
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### SPEND LOG CLEANUP ###
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if general_settings.get("maximum_spend_logs_retention_period") is not None:
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spend_log_cleanup = SpendLogCleanup()
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# Get the interval from config or default to 1 day
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retention_interval = general_settings.get(
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"maximum_spend_logs_retention_interval", "1d"
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)
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try:
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interval_seconds = duration_in_seconds(retention_interval)
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scheduler.add_job(
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spend_log_cleanup.cleanup_old_spend_logs,
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"interval",
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seconds=interval_seconds
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+ random.randint(0, 60), # Add small random offset
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# REMOVED jitter parameter - major cause of memory leak
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args=[prisma_client],
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id="spend_log_cleanup_job",
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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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except ValueError:
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verbose_proxy_logger.error(
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"Invalid maximum_spend_logs_retention_interval value"
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cleanup_cron = general_settings.get("maximum_spend_logs_cleanup_cron")
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if cleanup_cron:
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from apscheduler.triggers.cron import CronTrigger
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try:
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cron_trigger = CronTrigger.from_crontab(cleanup_cron)
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scheduler.add_job(
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spend_log_cleanup.cleanup_old_spend_logs,
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cron_trigger,
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args=[prisma_client],
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id="spend_log_cleanup_job",
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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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verbose_proxy_logger.info(
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f"Spend log cleanup scheduled with cron: {cleanup_cron}"
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)
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except ValueError:
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verbose_proxy_logger.error(
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f"Invalid maximum_spend_logs_cleanup_cron value: {cleanup_cron}"
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)
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else:
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# Interval-based scheduling (existing behavior)
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retention_interval = general_settings.get(
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"maximum_spend_logs_retention_interval", "1d"
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)
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try:
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interval_seconds = duration_in_seconds(retention_interval)
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scheduler.add_job(
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spend_log_cleanup.cleanup_old_spend_logs,
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"interval",
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seconds=interval_seconds + random.randint(0, 60),
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args=[prisma_client],
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id="spend_log_cleanup_job",
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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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except ValueError:
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verbose_proxy_logger.error(
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"Invalid maximum_spend_logs_retention_interval value"
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)
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### CHECK BATCH COST ###
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if llm_router is not None:
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try:
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@ -9885,7 +9926,9 @@ async def get_config(): # noqa: PLR0915
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_success_callbacks = normalize_callback(_success_callbacks)
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_failure_callbacks = normalize_callback(_failure_callbacks)
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_success_and_failure_callbacks = normalize_callback(_success_and_failure_callbacks)
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_success_and_failure_callbacks = normalize_callback(
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_success_and_failure_callbacks
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)
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_data_to_return = []
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"""
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@ -10,6 +10,114 @@ import pytest
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from litellm.proxy.db.db_transaction_queue.spend_log_cleanup import SpendLogCleanup
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def test_spend_log_cleanup_cron_scheduling():
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"""Test that cron expressions are correctly parsed for spend log cleanup scheduling"""
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from apscheduler.triggers.cron import CronTrigger
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# Valid cron expressions
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cron_expr = "0 4 * * *" # 4:00 AM daily
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trigger = CronTrigger.from_crontab(cron_expr)
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assert trigger is not None
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# Every minute (useful for testing)
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trigger_minute = CronTrigger.from_crontab("*/1 * * * *")
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assert trigger_minute is not None
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# Specific day and hour
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trigger_weekly = CronTrigger.from_crontab("0 3 * * 0") # 3 AM every Sunday
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assert trigger_weekly is not None
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# Invalid cron expression should raise ValueError
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with pytest.raises(ValueError):
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CronTrigger.from_crontab("invalid cron")
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with pytest.raises(ValueError):
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CronTrigger.from_crontab("60 25 * * *") # Invalid minute and hour
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def test_spend_log_cleanup_cron_scheduler_integration():
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"""
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Integration test: Verify the proxy_server scheduler logic correctly adds
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cron-based cleanup job when maximum_spend_logs_cleanup_cron is configured.
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This tests the logic in proxy_server.py lines 4671-4717 without requiring
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a real database connection.
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"""
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from unittest.mock import MagicMock
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from apscheduler.triggers.cron import CronTrigger
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# Mock scheduler
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mock_scheduler = MagicMock()
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mock_prisma_client = MagicMock()
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mock_cleanup_instance = MagicMock()
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# Test Case 1: Cron-based scheduling
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general_settings_cron = {
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"maximum_spend_logs_retention_period": "7d",
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"maximum_spend_logs_cleanup_cron": "0 4 * * *", # 4 AM daily
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}
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cleanup_cron = general_settings_cron.get("maximum_spend_logs_cleanup_cron")
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assert cleanup_cron is not None
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# Simulate the scheduler logic from proxy_server.py
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cron_trigger = CronTrigger.from_crontab(cleanup_cron)
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mock_scheduler.add_job(
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mock_cleanup_instance.cleanup_old_spend_logs,
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cron_trigger,
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args=[mock_prisma_client],
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id="spend_log_cleanup_job",
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replace_existing=True,
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misfire_grace_time=3600,
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)
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# Verify scheduler was called correctly
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mock_scheduler.add_job.assert_called_once()
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call_args = mock_scheduler.add_job.call_args
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# Verify the trigger is a CronTrigger
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assert isinstance(call_args[0][1], CronTrigger)
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# Verify job ID
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assert call_args[1]["id"] == "spend_log_cleanup_job"
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assert call_args[1]["replace_existing"] is True
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# Test Case 2: Interval-based scheduling (fallback)
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mock_scheduler.reset_mock()
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general_settings_interval = {
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"maximum_spend_logs_retention_period": "7d",
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# No cron, so it should fall back to interval
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}
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cleanup_cron_fallback = general_settings_interval.get(
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"maximum_spend_logs_cleanup_cron"
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)
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assert cleanup_cron_fallback is None # No cron configured
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# Simulate interval-based scheduling fallback
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retention_interval = general_settings_interval.get(
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"maximum_spend_logs_retention_interval", "1d"
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)
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from litellm.litellm_core_utils.duration_parser import duration_in_seconds
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interval_seconds = duration_in_seconds(retention_interval)
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mock_scheduler.add_job(
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mock_cleanup_instance.cleanup_old_spend_logs,
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"interval",
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seconds=interval_seconds,
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args=[mock_prisma_client],
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id="spend_log_cleanup_job",
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replace_existing=True,
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)
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# Verify interval scheduling was called
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mock_scheduler.add_job.assert_called_once()
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interval_call_args = mock_scheduler.add_job.call_args
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assert interval_call_args[0][1] == "interval"
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assert interval_call_args[1]["seconds"] == 86400 # 1 day in seconds
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@pytest.mark.asyncio
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async def test_should_delete_spend_logs():
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# Test case 1: No retention set
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