𝗠𝘆 𝗔𝗜 𝗔𝗣𝗜 𝗞𝗲𝗽𝘁 𝗙𝗮𝗶𝗹𝗶𝗻𝗴 𝗨𝗻𝘁𝗶𝗹 𝗜 𝗕𝘂𝗶𝗹𝘁 𝗧𝗵𝗶𝘀 𝗦𝗶𝗺𝗽𝗹𝗲 𝗖𝗹𝗶𝗲𝗻𝘁

𝗠𝘆 𝗔𝗜 𝗔𝗣𝗜 𝗞𝗲𝗽𝘁 𝗙𝗮𝗶𝗹𝗶𝗻𝗴 𝗨𝗻𝘁𝗶𝗹 𝗜 𝗕𝘂𝗶𝗹𝘁 𝗧𝗵𝗶𝘀 𝗦𝗶𝗺𝗽𝗹𝗲 𝗖𝗹𝗶𝗲𝗻𝘁

I built a content summarizer. The AI API failed. I hit rate limits. I saw 503 errors. SDKs were black boxes. I had no control over retry logic. Switching providers meant rewriting code.

I tried a simple try-except. It failed. AI APIs throttle. They crash. My code became a mess.

I built one generic client. It uses a config object. It uses exponential backoff and jitter. I used only requests and json.

Lessons for you:

• Use environment variables.
• Add logging early.
• Separate retry logic.
• Mock APIs during development.

You do not need a heavy SDK. A small HTTP client handles most cases. It is easy to debug. It works across providers.

How do you handle AI API reliability? Do you build your own client? Do you use SDKs?

Source: https://dev.to/__c1b9e06dc90a7e0a676b/my-ai-api-kept-failing-until-i-built-this-simple-client-13k0 Optional learning community: https://t.me/GyaanSetuAi