Solutions for Handling 429 API Rate Limit Errors with AI Models

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Hey all, I'm running into a lot of 429 errors on all of my API calls to AI models (request rate limits). Especially perplexity and Claude. Has anyone found a scalable way to get past these?

3 comments

Ariful A.
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Max M. It’s likely happening because you’re hitting the API’s rate limits. You’ll need to make sure your calls stay within the allowed limits, or add some throttling to avoid the 429 errors.
Hamid A.
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As you use LLM API, they will upgrade you to higher tier. However Clay doesn't have a way to re-run the API if it reruns an error. You could use n8n, to re-run the Clay records periodically. Here is a post, i made about it: https://www.linkedin.com/posts/gtm-architect_automating-clay-column-runs-is-painful-handling-ugcPost-7330167748695621634-A8Hm
Hasnain R.
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You’re hitting rate limits. In Clay add a delay (2–5 sec) in the AI step settings. Or use Claygent it handles throttling better and scales cleaner.