𝗟𝗟𝗠 𝗚𝗔𝗧𝗘𝗪𝗔𝗬𝗦 𝗙𝗢𝗥 𝗔𝗜 𝗦𝗔𝗔𝗦
Your AI app does not need more model calls. It needs a control plane.
Calling models directly is risky. One small mistake leads to a high bill. A slow provider leads to a support ticket.
An LLM gateway fixes this. It sits between your product and the model providers.
It handles these jobs:
- Model routing for speed and cost.
- Prompt caching to stop paying for the same text.
- Tenant metering to track spend per user.
- Budget limits to stop runaway usage.
- Fallbacks for when providers fail.
- Safety checks for prompt injections.
Stop building for a demo. Build for production.
Do not build a complex platform first. Use a simple shared path for all calls.
Ask yourself these questions:
- Do you have tenant and task metadata?
- Do you estimate cost before the call?
- Do you have a fallback plan?
If you say no, you have scattered calls. You need a gateway.
Source: https://dev.to/jackm-singularity/llm-gateway-for-ai-saas-route-models-cache-prompts-and-control-agent-spend-57he Optional learning community: https://t.me/GyaanSetuAi