Global AI Token Management: Create, Limit, and Secure

A token (also called an API key) is the credential for calling Global AI. Each token has its own scope and quota cap. Click API keys in the left sidebar, or go directly to https://globalai.vip/keys. The token list shows every token you have created, including name, status, quota used, quota remaining, and expiration.

Create a token

Open the create dialog

On the API keys list, click Create API key in the top right.

Fill in basic info

Enter a token name. Naming by purpose (“Production”, “Testing”, “Cherry Studio”) makes it easier to distinguish tokens in the logs later.

Choose a key group

For the group, we recommend the “auto” group by default. With auto, a single key can call every supported model on the platform. The system routes requests to the correct billing group based on the model ID you use, which is convenient and flexible.If your needs are more specific (for example, only using the GPT series), you can pick the matching “gpt” group. In that case the key is limited to GPT-related models and cannot access models from other vendors, which suits scenarios with strict model-source constraints.

Configure advanced options (optional)

Set the advanced options below as needed. Any option left blank means no restriction, though the account’s total quota still applies.

Submit and save the token key

After confirming the details, click Submit. The new key (typically formatted as sk-xxxxxxxx) appears in the key list. Click the Copy button next to the key to grab it for use.

A token key has full API call permissions. Do not share it, and do not commit it to public repositories or client applications. Store it in a password manager or a team key-management system.

Advanced options

Option	Description
Expiration	Set a validity period. Blank means no expiration.
Remaining quota	Cap the quota this token can consume. When exhausted, the token becomes invalid.
Unlimited quota	When enabled, the token has no per-token quota (the account’s total still applies).
Model restriction	Restrict the token to specific models. Blank means no restriction.
IP allowlist	Restrict which source IPs may use the token. Blank means no restriction.
Group	Specify the channel group this token uses. Available models and multipliers can differ by group.

Splitting tokens by purpose is best practice: one for production, one for testing, one for external partners. If one leaks you only need to delete that token without affecting the others.

Use a token

Send the token key as Authorization: Bearer <token> (OpenAI-compatible format) or the native vendor header (for example x-api-key) to the platform’s API base URL. See Call the API for full examples. To quickly verify a token works, chat with a model in the built-in Playground without writing code.

Edit a token

In the token list, find the target token and click the Edit icon on the right. You can change the name, expiration, remaining quota, model restrictions, IP allowlist, and other settings. The token key itself cannot be changed; only deleted.

Delete a token

In the token list, find the target token and click the Delete icon on the right. After confirmation the token becomes invalid immediately and cannot be recovered. Applications using it return an authentication error at once.

If a token leaks, delete it and create a new one immediately. Review the logs before deletion to check for suspicious calls.

Get Started

Account & Security

Call AI Models

Quota & Billing

Global AI Token Management: Create, Limit, and Secure

Create a token

Advanced options

Use a token

Edit a token

Delete a token

Next steps

Call the API

Client integrations

​Create a token

​Advanced options

​Use a token

​Edit a token

​Delete a token

​Next steps

Call the API

Client integrations

Create a token

Advanced options

Use a token

Edit a token

Delete a token

Next steps