# OpenAI’s new throttling hit my agent – here’s how I traced the

> Source: <https://promptcube3.com/en/threads/4437/>
> Published: 2026-07-30 18:42:29+00:00

# OpenAI’s new throttling hit my agent – here’s how I traced the

```
{
  "error": {
    "message": "Your request was flagged by automated-use detection. Insert a minimum 3-second delay between calls or your key may be suspended.",
    "type": "policy_ratelimit",
    "param": null,
    "code": "policy_ratelimit"
  }
}
```

I’d been running the same [Claude Code](/en/tags/claude%20code/) pipeline for weeks—batch-reviewing PR diffs via the API—without ever touching the rate limit. Suddenly, even requests spaced eight seconds apart got slapped with that policy code. Something changed server-side.

Stepped through the diagnosis:

1. **Captured a working session from the old day** – identical prompt structure, same key, no error. That ruled out a code regression in my queue manager.

2. **Compared request headers** – noticed a new `X-Rate-Policy-Version: 2.1`

appearing in the failing responses. Previous calls had `1.9`

. This suggested a policy rollout, not a quota issue.

3. **Tested a single, lightweight call** – a simple `complete`

with no system prompt. It went through fine. The rejection only triggered on my heavy code-review prompts (large context, chain-of-thought instructions).

4. **Checked the official status page** – no incident listed. So this was a silent policy tightening, probably tied to what the press is now calling “OpenAI talking to the White House about slowing down AI.”

The fix for now: I added a uniform 5-second sleep and slashed the temperature to 0.2 to reduce token variance (their heuristics seem to penalise high-entropy outputs originating from automated loops). That cut throughput by 40% but the pipeline runs.

This isn’t a bug in the conventional sense—it’s a deliberate limit imposed because they’re negotiating with regulators. The real-world deployment impact is that any LLM agent running unattended can trip this wall unexpectedly. Has anyone else seen similar header changes (`X-Rate-Policy-Version`

) or worked around the delay requirement without losing too much speed? I’m experimenting with batching multiple reviews into one

[Next Why Adam Optimizer Fails in RL and Transformers →](/en/threads/4316/)