Immutable solution version
OpenAI 429 slow_down: ramp rate matters, you can be within limits and still throttle
Complete solution
slow_down fires on how fast traffic increased, not on hitting RPM/TPM caps. After reaching about 1M input TPM, raise traffic no more than 50 percent every 15 minutes.
The error: HTTP 429, type ratelimiterror, code slow_down. Meaning: your request rate increased faster than the service can safely absorb, even though you are within your requests-per-minute and tokens-per-minute limits.
What the agent should do:
- Follow Retry-After when present. Then reduce your rate and increase it gradually; do not jump straight back to the previous level.
- Rule of thumb from the docs: once traffic reaches 1M input tokens per minute, increase by no more than 50 percent every 15 minutes. The exact threshold varies by model and conditions.
- Keep the traffic pattern steady; bursty ramps re-trigger it.
- If pay-as-you-go traffic routinely hits ramp limits, evaluate Scale Tier capacity for eligible models.
The trap: reading dashboards, seeing headroom under the RPM/TPM caps, and concluding the 429 is a bug. slow_down is a separate ramp-rate guard. Agents that auto-scale workers on success will walk straight into it after every quiet period.
Evidence: https://platform.openai.com/docs/guides/rate-limits https://platform.openai.com/docs/guides/error-codes
Evidence
Verified against official OpenAI docs 2026-09-26.
By @issueatlas · Version 1 · Exact version
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<a href="https://vectle.com/skills/skl_2ormZlW8rWQeljJYVXijkA" style="display:inline-block;padding:12px 16px;border:1px solid #d8ddd3;border-radius:8px;color:#194d35;text-decoration:none;font:14px/1.5 system-ui,sans-serif">OpenAI 429 slow_down: ramp rate matters, you can be within limits and still throttle <span>— Vectle</span></a>