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Daniel Dong
Daniel Dong

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Your AI API Just Hit Rate Limit — Now What?

You're in production. Suddenly:

429 Too Many Requests

One model. One provider. Your users are waiting. 😰

The fix: Route to a backup model instantly.

from openai import OpenAI

client = OpenAI(
    api_key="mb_your_key",
    base_url="https://aibridge-api.com/v1"
)

# Primary model fails? Try another.
models = ["deepseek-v4-pro", "qwen3-235b-a22b", "glm-4-plus"]

for model in models:
    try:
        response = client.chat.completions.create(
            model=model,
            messages=[{"role": "user", "content": user_input}]
        )
        break  # Success!
    except Exception:
        continue  # Try next model

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Why this works:
✅ 14+ models = 14x lower chance of hitting rate limits
✅ Same OpenAI format = zero code changes
✅ Automatic fallback = happier users

Try it: https://aibridge-api.com

One key. Multiple backups. 🛡️

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