First-call checklist before trying a new LLM gateway
The article provides a checklist for users trying a new OpenAI-compatible LLM gateway. It emphasizes the importance of testing with a small, controlled setup before scaling up. Key considerations include API key management, model testing, and logging for debugging purposes.
- ▪Create one API key and keep it scoped to a test project.
- ▪Run one tiny chat completion with the cheapest model first.
- ▪Check whether streaming chunks match the client you already use.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3917375) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Lina Chen Posted on May 18 First-call checklist before trying a new LLM gateway #aiapillmproductivity I have been using the same small checklist whenever I try a new OpenAI-compatible LLM gateway. It catches most integration failures before I move any real workload. Create one API key and keep it scoped to a test project. Run one tiny chat completion with the cheapest model first. Check whether streaming chunks match the client you already use.
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