{
  "$type": "site.standard.document",
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  "path": "/t/huggingface-token-usage-for-routed-requests-for-a-custom-provider/160801#post_2",
  "publishedAt": "2026-06-03T08:02:30.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "github.com",
    "GitHub - alicekellings/cursor-cline-token-budget: Practical token budgeting and usage transparency...",
    "https://api.wappkit.com"
  ],
  "textContent": "One practical pattern is to separate token validation from spend limits.\n\nFor routed/provider-style requests, I would not rely only on the upstream token being valid. I would also keep:\n\n- a request id / inference id for every call\n\n- prompt and completion token logs where available\n\n- a short billing reconciliation window\n\n- a hard quota or budget on the task/provider token\n\nThat way a valid token can still be rate-limited or quota-limited before it turns into a pile of unbilled backend work.\n\nI wrote down the setup pattern I use for coding-agent/provider routing here:\n\ngithub.com\n\n### GitHub - alicekellings/cursor-cline-token-budget: Practical token budgeting and usage transparency...\n\nPractical token budgeting and usage transparency setup for OpenAI-compatible coding agents.\n\nDisclosure: I maintain Wappkit (https://api.wappkit.com), an OpenAI-compatible gateway with quotas and usage logs. The same idea is provider-agnostic: validate identity, log per request, and cap the token that can spend.",
  "title": "Huggingface token usage for routed requests for a custom provider"
}