What should I use for swapping model providers easily?

If you want to swap model providers easily, use an abstraction layer rather than coding directly against one vendor’s SDK.

Good options:

1. OpenAI-compatible API wrapper

   • If your providers support the OpenAI chat/completions schema, this is the simplest path.
   • Works well with providers like OpenAI, Azure OpenAI, Anthropic via adapters, Groq, Together, Fireworks, etc. depending on compatibility.

2. LiteLLM

   • Probably the most practical choice if your goal is “change providers with minimal code changes.”
   • Gives you a unified API across many model vendors.
   • Supports routing, fallback, retries, and cost tracking.
   • Good for production apps.

3. LangChain / LlamaIndex model abstractions

   • Useful if you’re already using those frameworks.
   • They can help swap LLMs, but they’re broader orchestration frameworks, not just provider-switching tools.

4. Direct provider interface of your own

   • Create your own small interface like generate(prompt), embed(text), stream(...).
   • Then implement adapters per provider.
   • Best if you want full control and a very small dependency footprint.

My recommendation

• For fastest setup: use OpenAI-compatible APIs if your providers support them.
• For production with multiple providers: use LiteLLM.
• For maximum control: define your own internal abstraction and write adapters.

If you want, I can give you:

• a Python example using LiteLLM,
• a TypeScript example, or
• a recommended architecture for provider swapping.