The Fix
pip install celery==5.2.4
Based on closed celery/celery issue #7203 · PR/commit linked
Production note: This usually shows up under retries/timeouts. Treat it as a side-effect risk until you can verify behavior with a canary + real traffic.
@@ -1641,7 +1641,7 @@ setting.
Results can be enabled/disabled on a per-execution basis, by passing the ``ignore_result`` boolean parameter,
-when calling ``apply_async`` or ``delay``.
+when calling ``apply_async``.
Option A — Upgrade to fixed release\npip install celery==5.2.4\nWhen NOT to use: This fix is not applicable if using delay with ignore_result.\n\n
Why This Fix Works in Production
- Trigger: TypeError: mytask() got an unexpected keyword argument 'ignore_result'
- Mechanism: Documentation incorrectly suggested that ignore_result can be used with delay
- Why the fix works: Updated documentation to clarify that the `ignore_result` parameter can only be used with `apply_async`, not with `delay`. (first fixed release: 5.2.4).
- If left unfixed, the same config can fail only in production (env differences), causing startup failures or partial feature outages.
Why This Breaks in Prod
- Documentation incorrectly suggested that ignore_result can be used with delay
- Surfaces as: TypeError: mytask() got an unexpected keyword argument 'ignore_result'
Proof / Evidence
- GitHub issue: #7203
- Fix PR: https://github.com/celery/celery/pull/7209
- First fixed release: 5.2.4
- Reproduced locally: No (not executed)
- Last verified: 2026-02-09
- Confidence: 0.95
- Did this fix it?: Yes (upstream fix exists)
- Own content ratio: 0.79
Discussion
High-signal excerpts from the issue thread (symptoms, repros, edge-cases).
“Hey @RenWal :wave:, Thank you for opening an issue”
“> You're right”
Failure Signature (Search String)
- TypeError: mytask() got an unexpected keyword argument 'ignore_result'
Error Message
Stack trace
Error Message
-------------
TypeError: mytask() got an unexpected keyword argument 'ignore_result'
What Broke
Users experienced TypeError when passing ignore_result to delay.
Why It Broke
Documentation incorrectly suggested that ignore_result can be used with delay
Fix Options (Details)
Option A — Upgrade to fixed release Safe default (recommended)
pip install celery==5.2.4
Use when you can deploy the upstream fix. It is usually lower-risk than long-lived workarounds.
Option D — Guard side-effects with OnceOnly Guardrail for side-effects
Mitigate duplicate external side-effects under retries/timeouts/agent loops by gating the operation before calling external systems.
- Place OnceOnly between your code/agent and real side-effects (Stripe, emails, CRM, APIs).
- Use a stable key per side-effect (e.g., customer_id + action + idempotency_key).
- Fail-safe: configure fail-open vs fail-closed based on blast radius and spend risk.
Show example snippet (optional)
from onceonly import OnceOnly
import os
once = OnceOnly(api_key=os.environ["ONCEONLY_API_KEY"], fail_open=True)
# Stable idempotency key per real side-effect.
# Use a request id / job id / webhook delivery id / Stripe event id, etc.
event_id = "evt_..." # replace
key = f"stripe:webhook:{event_id}"
res = once.check_lock(key=key, ttl=3600)
if res.duplicate:
return {"status": "already_processed"}
# Safe to execute the side-effect exactly once.
handle_event(event_id)
Fix reference: https://github.com/celery/celery/pull/7209
First fixed release: 5.2.4
Last verified: 2026-02-09. Validate in your environment.
When NOT to Use This Fix
- This fix is not applicable if using delay with ignore_result.
- Do not use this to hide logic bugs or data corruption. Use it to block duplicate external side-effects and enforce tool permissions/spend caps.
Did This Fix Work in Your Case?
Quick signal helps us prioritize which fixes to verify and improve.
Prevention
- Capture the exact failing error string in logs and tests so you can reproduce via a minimal script.
- Pin production dependencies and upgrade only with a reproducible test that hits the failing path.
Version Compatibility Table
| Version | Status |
|---|---|
| 5.2.4 | Fixed |
Related Issues
No related fixes found.
Sources
We don’t republish the full GitHub discussion text. Use the links above for context.