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fix(proxy): invalidate end-user spend counter and cache on budget reset (#39726) - #39729
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…et (BerriAI#39726) Signed-off-by: amasen02 <amasen02@users.noreply.github.com>
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Greptile SummaryThis PR synchronizes end-user spend state when budget windows reset and improves stale-worker enforcement.
Confidence Score: 5/5The PR appears safe to merge; no new actionable defect remains after the latest test-only correction. The latest change preserves both fallback test cases while eliminating the reassignment of a
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| Filename | Overview |
|---|---|
| litellm/proxy/common_utils/reset_budget_job.py | Adds end-user counter resets, cache eviction, and rollover-carry handling to the budget reset cascade. |
| litellm/proxy/db/spend_counter_reseed.py | Adds a bounded end-user-row lookup for resolving stale cached spend mismatches. |
| litellm/proxy/proxy_server.py | Routes end-user authoritative-floor checks through the new end-user database lookup. |
| tests/test_litellm/proxy/common_utils/test_reset_budget_job.py | Covers end-user counter invalidation, object eviction, and default-budget rollover carry. |
| tests/test_litellm/proxy/db/test_spend_counter_reseed.py | Covers end-user database floor reads, missing rows, errors, and non-end-user counter keys. |
| tests/test_litellm/proxy/proxy_server/test_spend_counters.py | Covers stale-worker reset recovery and parametrizes fallback behavior without reassigning a Final local. |
Reviews (5): Last reviewed commit: "test(proxy): parametrize the stale end-u..." | Re-trigger Greptile
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| @@ -674,6 +691,10 @@ async def _collect_budget_cascade(self, budgets_to_reset: Sequence[LiteLLM_Budge | |||
| (_model_access_group_counter_key(row), _row_carried_spend(row, rollover_caps)) | |||
| for row in model_access_groups | |||
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A pre-reset reservation can reconcile afterward. This absolute reset erases it, and without end-user reseeding, later requests can exceed the budget.
Knowledge Base Used: Spend, budgets, and rate limits
Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!
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Keys, teams, orgs, tags, and access groups reset with the same absolute set in this cascade; the reseed floor is the just-reset DB value, so it cannot restore a reservation either.
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You're right. The end-user path follows the same cascade behavior as keys, teams, orgs, tags, and access groups: counters are reseeded from the collected DB spend, so this change does not introduce a distinct reservation-loss regression. The reservation concern is a broader pre-existing behavior rather than an actionable issue with this PR, so I’m withdrawing this comment.
| def _enduser_carried_spend(row: _EndUserRow, caps: Mapping[str, float]) -> float: | ||
| if not caps: | ||
| return 0.0 | ||
| effective_budget_id = row.budget_id or litellm.max_end_user_budget_id |
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effective_budget_id and the new test locals lack required Final annotations. This repository requirement must be satisfied before merging.
Context Used: CLAUDE.md (source)
Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
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The reset job evicts the cached end-user object only from its own worker's in-memory cache (plus Redis), so every other uvicorn worker and replica keeps the pre-reset spend for up to user_api_key_cache_ttl (60s by default). Those workers pass that stale spend as fallback_spend, and since the authoritative floor read returned None for spend:end_user: keys, get_current_spend handed the stale value straight back and the end user kept getting 429 after the rollover on every worker but the one that ran the reset. The floor read now consults LiteLLM_EndUserTable.spend for end-user counters, the same way keys, teams, users, and orgs already read their rows. It runs only when the shared counter sits below the cached spend (a reset or a Redis restart) and stays behind the existing 5s in-process marker, so the normal request path still does no DB read. Cold end-user counters keep seeding from the cached object rather than the row, so from_db is unchanged for them.
| where: Final[LiteLLM_EndUserTableWhereUniqueInput] = {"user_id": counter_key[len(END_USER_COUNTER_PREFIX) :]} | ||
| try: | ||
| row: Final = await EndUserRepository(prisma_client).table.find_unique(where=where) | ||
| except Exception: # noqa: BLE001 # a failed floor read falls back to the cached spend, like from_db |
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End-user budget checks can now directly query the database when the spend-floor cache is cold. This violates the directive against database queries in critical request paths and can increase request latency and database load
Rule Used: What: In critical path of request, there should be... (source)
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Same bounded read keys and teams already do here: one primary-key lookup per worker per 5s, only while the counter trails the cached spend.
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You're right. I re-evaluated this against the existing authoritative-floor path: the read is bounded by the existing per-counter floor-cache window, uses a primary-key lookup, and only runs when the counter is below the cached spend. That is the same behavior already accepted for key/team counters, and EndUserRepository keeps the query behind the repository abstraction. I’m withdrawing this finding; no change is required for this comment.
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| window_start: datetime | None, | ||
| ) -> float | None: | ||
| if counter_key.startswith(END_USER_COUNTER_PREFIX): | ||
| return await SpendCounterReseed.end_user_from_db(prisma_client=prisma_client, counter_key=counter_key) |
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Low: Lagging database spend can bypass the budget
End-user spend is batch-flushed, so this row can be lower than both fallback_spend and the actual spend. If Redis reloads a stale-low counter, this branch causes get_current_spend() to discard the higher fallback and admit an end user already over budget; use a reset generation/timestamp or cross-worker reset invalidation to distinguish a genuine reset from ordinary database lag before allowing the row to lower the effective spend.
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Same bounded window keys and teams already take: the cache leads the batch-flushed row for one flush interval, and only with a stale-low Redis reload.
PR overviewThis pull request updates budget-reset handling to invalidate and reload end-user spend counters and cached spend data in the proxy. Two budget-accounting race conditions remain open. Database lag can replace a higher fallback spend value with stale data, while concurrent reservations can be overwritten during a reset; either case may temporarily allow an end user to exceed their budget. No reported issues have yet been addressed. Open issues (2)
Fixed/addressed: 0 · PR risk: 4/10 |
…the floor comments
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| (_model_access_group_counter_key(row), _row_carried_spend(row, rollover_caps)) | ||
| for row in model_access_groups | ||
| ), | ||
| *((_enduser_counter_key(row), _enduser_carried_spend(row, rollover_caps)) for row in endusers), |
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Low: Concurrent reservations are erased by the reset
This adds end users to the post-commit counter resets, which unconditionally overwrite Redis. An end user can submit a request during the interval after the database commit but before this reset; its pre-request reservation increments the same counter and is then replaced with new_spend, allowing that request's cost to be omitted until the lagging database spend catches up. Use an atomic reset protocol that preserves increments occurring after the reset commit, such as a versioned/window-specific counter or coordination between reset and reservation.
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Keys, teams, orgs, and tags reset with the same absolute set in this cascade; end users now match that pre-existing behavior.
…local sits in a loop
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LGTM. Thanks for the contribution!
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TLDR
Problem this solves:
How it solves it:
spend:end_user:<id>in memory and Redis and evicts the cached end-user objectLiteLLM_EndUserTable.spendwhen the shared counter sits below itUser Flow
Before: a developer whose app tags requests with an end-user id keeps getting budget-exceeded errors after that end user's budget window has already rolled over
{"budget_id": "default-end-user-budget", "max_budget": 0.00008, "budget_duration": "30s"}, then setsmax_end_user_budget_id: default-end-user-budgetunderlitellm_settingsx-litellm-end-user-id: customer-42, spread across the proxy's replicas; the first five return HTTP 200 and use up the $0.00008 budget, the sixth returns HTTP 429Budget has been exceededAfter: the same developer's requests go through as soon as the budget window rolls over, whichever replica or worker serves them
{"budget_id": "default-end-user-budget", "max_budget": 0.00008, "budget_duration": "30s"}, then setsmax_end_user_budget_id: default-end-user-budgetunderlitellm_settingsx-litellm-end-user-id: customer-42, spread across the proxy's replicas; the first five return HTTP 200 and use up the $0.00008 budget, the sixth returns HTTP 429Budget has been exceededRelevant issues
Fixes #39726
Linear ticket
Resolves LIT-6977
Pre-Submission checklist
Please complete all items before asking a LiteLLM maintainer to review your PR
uv run pytest tests/test_litellm/<your_test_file>.py -v. Leave the suites (make test-unit-*,make test-unit) to CI: it finishes in ~15 minutes where a laptop takes an hour or more@greptileaito re-request a review after pushing changes)Delays in PR merge?
If you're seeing a delay in your PR being merged, ping the LiteLLM Team on Slack (#pr-review).
Screenshots / Proof of Fix
Both legs run the same rig: two proxy replicas booted from the leg's commit, each with
--num_workers 2, sharing one fresh Postgres database (a dedicatedpostgres:16-alpinecontainer) and one Redis (redis:7-alpine), with requests alternating between replica A and replica B so state written through one worker is enforced by another. Every chat completion is a real Anthropic call toclaude-haiku-4-5withmax_tokens: 1(about $0.000016 each). The reset job interval is pinned to 5-6s so a 30s budget window rolls over quickly. The master key is shown assk-***. Before ran on replica A:49495and B:50692, After on A:35452and B:44694.Config used by both legs (only the Redis port differs):
Chat request used in every step below (the port and the end-user header vary per step; the nonce keeps the prompt unique):
Chat responses are trimmed to
id,content,usage, and the HTTP status;/customer/infoand/budget/inforesponses to the fields that matter.Before (c8635ec)
Default end-user budget across a rollover, two replicas
The admin creates the default end-user budget (30s window, $0.00008):
The developer sends chat requests for
customer-42, alternating replica A and B, until the budget is used up:The window rolls over (the reset job runs every 5-6s), and the admin view shows the reset:
Five requests in the new window, alternating A and B, and every one is rejected with the pre-reset spend:
12s later nothing was charged in the new window:
Explicit end-user budget (
budget_idon the customer) across a rolloverThe admin creates a second 30s budget ($0.00003) and pins a customer to it:
Chat requests for
customer-explicituntil the budget is used up:The window rolls over (
budget_reset_at2026-09-05T00:38:00Z -> 2026-09-05T00:38:30Z, observed at 00:38:28)The first two requests in the new window are still rejected:
New window keeps counting and spend re-accrues
About 90s after the last
customer-42request (so the 60s cache has expired on every worker), the default budget rolls over again (budget_reset_at2026-09-05T00:38:30Z -> 2026-09-05T00:39:00Z) and three back-to-back requests go through:12s later the spend for the new window is visible:
After (89086db)
The commits since (b4fd63f, 4ffd2ff) only correct two comments in
proxy_server.pyand annotate or parametrize test locals, so they cannot change behavior and the run above stands.Default end-user budget across a rollover, two replicas
The admin creates the default end-user budget (30s window, $0.00008):
The developer sends chat requests for
customer-42, alternating replica A and B, until the budget is used up:The window rolls over, and the admin view shows the reset:
Five requests in the new window, alternating A and B, and every one goes through:
12s later the new window's spend is accruing from 0:
Explicit end-user budget (
budget_idon the customer) across a rolloverThe admin creates a second 30s budget ($0.00003) and pins a customer to it:
Chat requests for
customer-explicituntil the budget is used up:The window rolls over (
budget_reset_at2026-09-05T00:45:00Z -> 2026-09-05T00:45:30Z, observed at 00:45:04)The first two requests in the new window go through:
New window keeps counting and spend re-accrues
The default budget rolls over again (
budget_reset_at2026-09-05T00:45:30Z -> 2026-09-05T00:46:00Z) and three back-to-back requests go through:12s later the spend for the new window is visible:
Observations from the run:
/customer/infobriefly showed pre-reset spend in the new window/customer/infospend lags the counter by the batch write intervalType
🐛 Bug Fix
Caveats (if any)
Low
fail_closed_budget_enforcementon, end-user checks now floor on the DB row toobudget_rollover: true) is unit-tested, not exercised liveFinal Attestation
Note
Medium Risk
Changes budget enforcement and reset side effects for end users across workers and Redis; behavior is well-tested but touches multi-replica cache/counter consistency on a customer-facing path.
Overview
Fixes end-user budgets staying blocked after a window rollover because Redis/in-memory
spend:end_user:<id>counters and per-worker cached end-user objects were not aligned withLiteLLM_EndUserTableafter the reset job ran.The budget reset cascade now treats end users like keys/teams/tags: it resets
spend:end_user:<id>(including rollover carry for explicit and defaultmax_end_user_budget_idbudgets), and evicts the end-user management cache key.get_current_spendcan floor enforcement onLiteLLM_EndUserTable.spendvia newSpendCounterReseed.end_user_from_db(cold reseed still uses authfallback_spend; the row read is only for stale-low / post-reset mismatch)._floor_spend_from_dbcentralizes that path alongside existing entity/window floors.Reviewed by Cursor Bugbot for commit 4ffd2ff. Bugbot is set up for automated code reviews on this repo. Configure here.