注意：消费策略由编排器在委托给代理之前设置——而非代理本身。这防止代理自行提高消费限额。通过编排层或任务前钩子中的set_policy配置策略，切勿将其作为代理可调用工具。

示例

MCP客户端中的预算执行

在构建调用agentpay MCP服务器的编排器时，在分派付费工具调用前强制执行预算。

前提条件：在添加MCP配置前安装包——npx不带-y会在非交互环境中提示确认，导致服务器挂起：npm install -g [email protected]

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

async function main() {
  // 1. Validate credentials before constructing the transport.
  //    A missing key must fail immediately — never let the subprocess start without auth.
  const walletKey = process.env.WALLET_PRIVATE_KEY;
  if (!walletKey) {
    throw new Error("WALLET_PRIVATE_KEY is not set — refusing to start payment server");
  }

  // Connect to the agentpay MCP server via stdio transport.
  // Whitelist only the env vars the server needs — never forward all of process.env
  // to a third-party subprocess that manages private keys.
  const transport = new StdioClientTransport({
    command: "npx",
    args: ["[email protected]"],
    env: {
      PATH: process.env.PATH ?? "",
      NODE_ENV: process.env.NODE_ENV ?? "production",
      WALLET_PRIVATE_KEY: walletKey,
    },
  });
  const agentpay = new Client({ name: "orchestrator", version: "1.0.0" });
  await agentpay.connect(transport);

  // 2. Set spending policy before delegating to the agent.
  //    Always verify success — a silent failure means no controls are active.
  const policyResult = await agentpay.callTool({
    name: "set_policy",
    arguments: {
      per_task_budget: 0.50,
      per_session_budget: 5.00,
      allowlisted_recipients: ["api.example.com"],
    },
  });
  if (policyResult.isError) {
    throw new Error(
      `Failed to set spending policy — do not delegate: ${JSON.stringify(policyResult.content)}`
    );
  }

  // 3. Use preToolCheck before any paid action
  await preToolCheck(agentpay, 0.01);
}

// Pre-tool hook: fail-closed budget enforcement with four distinct error paths.
async function preToolCheck(agentpay: Client, apiCost: number): Promise<void> {
  // Path 1: Reject invalid input (NaN/Infinity bypass the < comparison)
  if (!Number.isFinite(apiCost) || apiCost < 0) {
    throw new Error(`Invalid apiCost: ${apiCost} — action blocked`);
  }

  // Path 2: Transport/connectivity failure
  let result;
  try {
    result = await agentpay.callTool({ name: "check_spending" });
  } catch (err) {
    throw new Error(`Payment service unreachable — action blocked: ${err}`);
  }

  // Path 3: Tool returned an error (e.g., auth failure, wallet not initialised)
  if (result.isError) {
    throw new Error(
      `check_spending failed — action blocked: ${JSON.stringify(result.content)}`
    );
  }

  // Path 4: Parse and validate the response shape
  let remaining: number;
  try {
    const parsed = JSON.parse(
      (result.content as Array<{ text: string }>)[0].text
    );
    if (!Number.isFinite(parsed?.remaining)) {
      throw new TypeError("missing or non-finite 'remaining' field");
    }

…

santa-method

通过双评审智能体对结果进行对抗式校验，提升输出发布前的可靠性

AgentPay

为 AI 代理提供支付、密钥托管与额度治理，确保在授权范围内安全执行操作。