Conclusion
- No-card APIs are useful for Next.js demos, not uncontrolled production traffic.
- Keep API keys on the server or route handler; never expose them to the browser.
- Choose an OpenAI-compatible endpoint so migration is a baseURL/model change instead of a rewrite.
- Before inviting users, add request limits, logs, budgets, and fallback.
What to do next
- Pick one provider with clear free quota, model names, region support, and data terms.
- Create a dedicated server-side key and store it in environment variables.
- Configure baseURL, apiKey, and model explicitly in the OpenAI client or Vercel AI SDK provider layer.
- Run a 100-token route-handler smoke test, then test streaming, JSON output, quota burn, and rate-limit errors.
- Move to OpenLLMAPI or another controlled route before real users depend on the chatbot.
Recommended paths
| Provider | Free / credits | Best for |
|---|---|---|
| OpenRouter | Free routes vary | Fast no-card Vercel demo |
| Groq | Developer limits vary | Low-latency open-model chatbot tests |
| Qwen DashScope | Signup credits vary | China-friendly compatible chatbot route |
| Zhipu GLM | Signup tokens vary | Domestic GLM prototype and fallback |
| OpenLLMAPI | Trial varies | Production handoff with budgets and fallback |
Global developer checklist
- Confirm whether signup, billing, and API keys work from your country before writing production code.
- Prefer OpenAI-compatible endpoints when you may need to switch models, regions, or providers later.
- Test free credits with a real smoke prompt and record latency, error shape, streaming behavior, and quota burn.
- Keep at least one fallback route for provider outages, model deprecations, and regional access changes.
Production handoff
Turn the demo key into a safe production route
Keep the OpenAI-compatible interface, then add budget logs, fallback, and route controls before users hit your chatbot. The register CTA carries question-page UTM for attribution.
FAQ
Can I put a free API key in a Next.js client component?
No. Keep it in server-side route handlers, server actions, or backend environment variables.
Will a no-card API work with Vercel AI SDK?
Often yes if the provider is OpenAI-compatible or has a custom provider configuration. Test baseURL, streaming, and model names before wiring the UI.
Can I launch production on the free key?
Use it only for validation. Production needs billing clarity, abuse limits, budget logs, and fallback.
What should I test first?
A short chat request, streaming chunks, JSON output if used, quota burn, latency, and rate-limit behavior.