AI Gateway: One Unified API for Every Model

What does Token4AI Cloud do?

Token4AI Cloud is a model access and management service operated by TokenForAI Inc. It connects applications and coding agents to models through a shared gateway. The console brings together API keys, request history, token consumption and account balance.

A gateway is useful when several applications or teams need a consistent place to configure access and review usage. It does not make every model behave the same: context limits, supported tools, output quality and pricing still depend on the selected model.

Which models can I use?

The product supports access to providers such as OpenAI, Anthropic, Google and MiniMax. The models actually available to your account depend on the current catalog and the permissions on your key. Check the console or query the model endpoint before configuring a client.

Use the exact model ID returned for your account. Do not assume a model name from another provider or an old tutorial will be accepted.

How does a gateway differ from a direct provider API?

With a direct integration, your application uses each provider’s credentials and endpoint. With Token4AI Cloud, you use a Token4AI API key and the gateway endpoint, and review the resulting requests in the Token4AI console.

OpenAI-compatible clients can reuse a familiar request format for supported endpoints. Provider-specific features may require different configuration. Test the operations you need, including streaming and tools, before moving production traffic.

What should I review before production use?

1. Create separate keys for distinct applications so their access can be managed independently.
2. Send a small request and inspect its model, latency, tokens and cost in request history.
3. Review your available balance and current pricing in the console.
4. Handle authentication errors, rate limits and provider failures in the client. Retry transient errors with a bounded backoff, rather than repeatedly retrying every failure.