Llm Pro

Last 30 days

Uptime

100%

Response time

188 ms typical, 188 ms slowest 5%

Last check

3 h ago

Next check

any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://agent402.tools/api/llm-pro" \
  -H "content-type: application/json" \
  -d '{"max_tokens":64,"messages":[{"content":"Say hello in one sentence.","role":"user"}],"model":"gpt-4o"}'

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagent402.tools%2Fapi%2Fllm-pro
const res = await pay("https://agent402.tools/api/llm-pro", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"max_tokens":64,"messages":[{"content":"Say hello in one sentence.","role":"user"}],"model":"gpt-4o"}),
});
console.log(await res.json());

Example input

{
  "max_tokens": 64,
  "messages": [
    {
      "content": "Say hello in one sentence.",
      "role": "user"
    }
  ],
  "model": "gpt-4o"
}

Example output

{
  "choices": [
    {
      "finish_reason": "stop",
      "message": {
        "content": "Hello! How can I help you today?",
        "role": "assistant"
      }
    }
  ],
  "model": "gpt-4o",
  "provider": "openai",
  "usage": {
    "completion_tokens": 8,
    "prompt_tokens": 12,
    "total_tokens": 20
  }
}

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