𝗛𝗼𝘄 𝘁𝗼 𝗛𝗮𝗻𝗱𝗹𝗲 𝗙𝗹𝗮𝗸𝘆 𝗔𝗜 𝗔𝗣𝗜𝘀

𝗛𝗼𝘄 𝘁𝗼 𝗛𝗮𝗻𝗱𝗹𝗲 𝗙𝗹𝗮𝗸𝘆 𝗔𝗜 𝗔𝗣𝗜𝘀

My AI feature crashed on a Friday. Users saw empty results. The API failed. My code lacked error handling.

First, I used one request. It crashed. Then, I used try/except. It returned empty results. Then, I used a fixed loop. It slowed my app.

I needed a better way. I added three things:

• Exponential backoff. Wait longer between tries.
• Jitter. Add random time to avoid overload.
• Async queues. Run tasks in the background.

I also added caching. I stored common answers. This cut costs by 30%. It made the app faster.

Key lessons for you:

• Use async tools. Blocking your app kills speed.
• Cache often to save money.
• Log your failures.
• Use Tenacity for retries.
• Use Celery for production.

Build resilient systems. Your users will notice the difference.

Source: https://dev.to/__c1b9e06dc90a7e0a676b/how-i-stopped-worrying-and-learned-to-love-ai-api-retries-3hlp Optional learning community: https://t.me/GyaanSetuAi