What should I use instead of direct OpenAI calls in production?

If you mean “what’s a production-friendly way to use OpenAI capabilities without wiring your app directly to raw OpenAI API calls?”, the usual answer is:

Best option: put an abstraction layer in front of the model

Use a gateway / middleware / orchestration layer so your app talks to your service, not directly to OpenAI.

Good choices

• Your own backend wrapper around OpenAI
  • Centralize auth, retries, logging, caching, rate limits, prompt templates, and fallback logic.
• Model gateway / LLM proxy
  • Examples: LiteLLM, Helicone, Portkey, OpenRouter (more for multi-model access), Langfuse (observability more than proxying)
• Frameworks
  • LangChain / LlamaIndex for orchestration, but usually combine them with your own service layer rather than exposing them directly to clients.

Why not call OpenAI directly from production clients?

• Exposes API keys if done from frontend/mobile
• Harder to manage retries, timeouts, and fallbacks
• Harder to switch models/providers later
• More difficult to log/audit/measure cost and latency
• More difficult to enforce content filtering and guardrails

Recommended production setup

Client → Your API → LLM gateway/wrapper → OpenAI (and optionally others)

Your API should handle:

• Authentication/authorization
• Prompt construction
• Rate limiting
• Caching
• Retries/timeouts
• Response validation / schema enforcement
• Observability and cost tracking
• Fallbacks to another model/provider if needed

If your concern is “what API should I use?”

Use the OpenAI API through your backend rather than from the client. If you want vendor flexibility, place a provider-agnostic interface in your app and let the backend decide which model to call.

Practical recommendation

• Small team / simplest production path: Own backend wrapper
• Need monitoring and governance: Helicone or Langfuse
• Need provider abstraction and routing: LiteLLM or Portkey
• Need app-level orchestration: LangChain or LlamaIndex plus your backend

If you tell me your stack (Node/Python, web/mobile, single-model vs multi-model), I can recommend a concrete production architecture.