Why I Put an LLM Gateway in Front of Every Model Call: Outages, Rate Limits, Lock-in
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TL;DR Provider outages, rate limits, and per-provider SDK differences are the three concrete reasons teams end up routing LLM traffic through a gateway instead of calling providers directly. A gateway gives you one OpenAI-compatible endpoint, load balancing with automatic fallback, and semantic caching, without changing application code when you add or swap a model. It's also the natural place to enforce budgets, rate limits, and guardrails, which is worth knowing before you pick a gateway that…
1Key Takeaways
- TL;DR Provider outages, rate limits, and per-provider SDK differences are the three concrete reasons teams end up routing LLM traffic through a gateway instead of calling providers directly.
- A gateway gives you one OpenAI-compatible endpoint, load balancing with automatic fallback, and semantic caching, without changing application code when you add or swap a model.
- It's also the natural place to enforce budgets, rate limits, and guardrails, which is worth knowing before you pick a gateway that….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that tL;DR Provider outages, rate limits, and per-provider SDK differences are the three concrete reasons teams end up routing LLM traffic through a gateway instead of calling providers directly.
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