Capacity reporting

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":42,"queued_tokens":0}'

use token_gateway_sdk::{RegisterSellerRequest, ReportCapacityRequest, SellerClient, SellerKey};

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: 42,
            queued_tokens: 0,
        },
    )
    .await?;

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=42)

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: 42, queued_tokens: 0 });