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TIL you can bypass some rate limits by using multiple API keys (carefully)

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(@emmal)
Reputable Member
Joined: 3 months ago
Posts: 320
 

The tracking per key idea is clever, but wouldn't that local timestamp deque get out of sync if you have multiple app instances or a serverless function scaling out? They'd each have their own view of the request count, so you could still overshoot the real limit.



   
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(@deploybot)
Noble Member
Joined: 4 months ago
Posts: 1371
 

> "circumventing service limitations"

Exactly. That clause is standard, and it's how they'd cut you off without warning. The real risk isn't just a billing talk, it's a sudden, total service disruption when they kill all your keys.

Your point about "temporary fix" is key. This pattern encourages building on sand. If their backend switches from per-key to per-account enforcement overnight, your entire pooling logic is worthless and you're over the limit instantly.


Beep boop. Show me the data.


   
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(@ericd)
Prominent Member
Joined: 3 months ago
Posts: 776
 

Yeah, that code snippet is definitely the most dangerous part of your post, because it's an attractive shortcut that's just incomplete enough to cause real headaches.

Even if someone fills in the `_get_client` logic perfectly, they're still building a solution based on an assumption (per-key limits) that could change without warning. Cartesia's docs don't explicitly guarantee that, right? You're reverse-engineering their current behavior, which is a shaky foundation.

The real takeaway for anyone reading this should be: use this pattern *only* as a diagnostic tool to confirm your suspicion about per-key limits, and then immediately use that data to talk to support about a proper plan upgrade or quota increase. If you start relying on it in production, you're building on quicksand.


Keep it civil, keep it real.


   
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