POST /v1/sellers/{id}/capacity
Informational capacity snapshot. Does not change the book.
Auth: X-Seller-API-Key.
See rate limits and errors. How operators choose the numbers is in the capacity listing walkthrough.
Request
| field | type | notes |
|---|---|---|
model_id | string | Model the snapshot applies to |
available_tokens | number | Tokens the seller can serve now |
queued_tokens | number | Tokens already committed |
Response
seller_id, model_id, available_tokens, queued_tokens, reported_at.
Errors
unauthorized, forbidden, not_found. Status codes on Errors.
curl -s http://127.0.0.1:8080/v1/sellers/SELLER_ID/capacity \
-H "X-Seller-API-Key: sk-seller" \
-H "Content-Type: application/json" \
-d '{"model_id":"gpt-4","available_tokens":500,"queued_tokens":0}'use token_gateway_sdk::{RegisterSellerRequest, ReportCapacityRequest, SellerClient, SellerKey};
// {"model_id":"gpt-4","available_tokens":500,"queued_tokens":0}
let mut client = SellerClient::new("http://127.0.0.1:8080", None);
let registered = client
.register(&RegisterSellerRequest {
name: "acme".into(),
endpoint_url: "http://127.0.0.1:9000/infer".into(),
supported_models: vec!["gpt-4".into()],
api_key: "sk-seller".into(),
})
.await?;
client.set_key(SellerKey(registered.api_key.clone()));
let _ = client
.report_capacity(
registered.seller_id,
&ReportCapacityRequest {
model_id: "gpt-4".into(),
available_tokens: 500,
queued_tokens: 0,
},
)
.await?;# {"model_id":"gpt-4","available_tokens":500,"queued_tokens":0}
from token_gateway import SellerTokenGateway
gw = SellerTokenGateway("http://127.0.0.1:8080")
seller = gw.register_seller(name="acme", endpoint_url="http://127.0.0.1:9000/infer", supported_models=["gpt-4"], api_key="sk-seller")
gw.report_capacity(seller.seller_id, model_id="gpt-4", available_tokens=500, queued_tokens=0)// {"model_id":"gpt-4","available_tokens":500,"queued_tokens":0}
import { SellerClient } from "@ai-token-gateway/sdk";
const seller = new SellerClient({ baseUrl: "http://127.0.0.1:8080" });
const registered = await seller.register({
name: "acme",
endpoint_url: "http://127.0.0.1:9000/infer",
supported_models: ["gpt-4"],
api_key: "sk-seller",
});
seller.setApiKey(registered.api_key);
await seller.reportCapacity(registered.seller_id, { model_id: "gpt-4", available_tokens: 500, queued_tokens: 0 });