Switch AI Models Without Rewriting Your OpenAI SDK Integration

RouterBase offers an OpenAI-compatible API that lets developers switch between 200+ AI models, including GPT, Claude, and Gemini, without rewriting their OpenAI SDK integration. By changing only the base URL and model ID, applications can route requests through RouterBase while keeping the same client code. The company recommends testing candidate models against consistent tasks and rubrics before moving production traffic.

If your application already uses the OpenAI Python SDK, you can keep the same client and point it at RouterBase by changing the base URL. This gives the application one request interface while model selection stays configurable. openai packageInstall the SDK: pip install --upgrade openai Set the key in your shell: export ROUTERBASE API KEY="sk-rb-..." Do not place an API key in browser code, mobile binaries, or a public repository. python import os from openai import OpenAI client = OpenAI api key=os.environ "ROUTERBASE API KEY" , base url="https://routerbase.com/v1", The important line is base url . The SDK remains the same; requests go through the RouterBase OpenAI-compatible endpoint. Choose a model ID from the current RouterBase model catalog and keep it in configuration instead of hard-coding it throughout the application. python import os model id = os.environ.get "ROUTERBASE MODEL", "google/gemini-2.5-flash", response = client.chat.completions.create model=model id, messages= { "role": "user", "content": "Explain idempotency in one paragraph.", } , print response.choices 0 .message.content To test a different compatible chat model, change ROUTERBASE MODEL and run the same request again. A successful API response is not enough to justify moving production traffic. Test candidate models against the same tasks and rubric. candidates = "google/gemini-2.5-flash", Add other current RouterBase chat model IDs here. prompt = "Return a JSON object with keys: summary and risk." for candidate in candidates: result = client.chat.completions.create model=candidate, messages= {"role": "user", "content": prompt} , print candidate, result.choices 0 .message.content In a real evaluation, record correctness, latency, retry rate, and the cost of a successful task. An OpenAI-compatible endpoint does not mean every model has identical behavior. Before switching models, verify: Keep the integration stable, but keep the evaluation model-specific. RouterBase https://routerbase.com provides one OpenAI-compatible API for GPT, Claude, Gemini, and 200+ AI models. Check the live catalog before using a model ID in production.