1. Define what the fallback must do
A fallback is useful only when it solves a concrete problem: a second route for a developer tool, a model your current provider does not expose, or a way to test a different billing path. Do not treat a landing page, a registration, or a successful health check as proof that the route fits your workload.
| Write down | Example check |
|---|---|
| Product | Which tool, API, or downstream site will call it? |
| Model | Which one model matters for the first test? |
| Budget | What is the smallest paid test you can explain? |
| Pass condition | Request, usage log, and billing record match. |
2. Keep access under your control
- Register your own account at the provider.
- Complete any payment yourself and create your own API key.
- Set the OpenAI-compatible Base URL to
https://api.lashimao.xyz/v1. - Use the model name shown in your current console, not a copied or stale list.
{
"base_url": "https://api.lashimao.xyz/v1",
"api_key": "sk-your-own-key",
"model": "your-console-model"
}3. Run one small paid test
Use a short request from the workload you actually care about. Record only the minimum evidence needed to review the result:
- The request returns the expected model response.
- Your application or gateway shows the matching request log.
- Your provider console shows an understandable balance or charge change.
- The same test can be repeated without sharing a password or complete API key.
The public page currently shows a uniform 0.1 multiplier, including volume purchases. Check the actual model, usage and charge in your own console.
4. Decide whether to keep the route
Keep the endpoint as a fallback or supplement only when the request, log, and billing result are all clear for your workload. Increase traffic gradually. A single successful request does not establish production reliability, capacity, recurring revenue, or a service-level guarantee.