fix: add bot

bots/reply_bots.ts

@@ -0,0 +1,98 @@
+// reply_bot.ts
+import { Agent, Runner, hostedMcpTool, withTrace } from "@openai/agents";
+
+console.log("✅ Reply bot starting...");
+
+// ---- MCP 工具（Hosted MCP） ----
+// 关键点：requireApproval 设为 "never"，避免卡在人工批准。
+const mcp = hostedMcpTool({
+  serverLabel: "openisle_mcp",
+  serverUrl: "https://www.open-isle.com/mcp",
+  allowedTools: [
+    "search",
+    "reply_to_post",
+    "reply_to_comment",
+    "recent_posts",
+    "get_post",
+    "list_unread_messages"
+  ],
+  requireApproval: "never",
+});
+
+type WorkflowInput = { input_as_text: string };
+
+// 从环境变量读取你的站点鉴权令牌（可选）
+const OPENISLE_TOKEN = process.env.OPENISLE_TOKEN ?? "";
+
+// ---- 定义 Agent ----
+const openisleBot = new Agent({
+  name: "OpenIsle Bot",
+  instructions: [
+    "You are a helpful assistant for https://www.open-isle.com.",
+    "Finish tasks end-to-end before replying. If multiple MCP tools are needed, call them sequentially until the task is truly done.",
+    "When showing the result, reply in Chinese with a concise summary and include any important URLs or IDs.",
+    OPENISLE_TOKEN
+      ? `If tools require auth, use this token exactly where the tool schema expects it: ${OPENISLE_TOKEN}`
+      : "If a tool requires auth, ask me to provide OPENISLE_TOKEN via env.",
+  ].join("\n"),
+  tools: [mcp],
+  model: "gpt-4o",
+  modelSettings: {
+    temperature: 0.7,
+    topP: 1,
+    maxTokens: 2048,
+    toolChoice: "auto",
+    store: true,
+  },
+});
+
+// ---- 入口函数：跑到拿到 finalOutput 为止，然后输出并退出 ----
+export const runWorkflow = async (workflow: WorkflowInput) => {
+  // 强烈建议在外部（shell）设置 OPENAI_API_KEY
+  if (!process.env.OPENAI_API_KEY) {
+    throw new Error("Missing OPENAI_API_KEY");
+  }
+
+  const runner = new Runner({
+    workflowName: "OpenIsle Bot",
+    traceMetadata: {
+      __trace_source__: "agent-builder",
+      workflow_id: "wf_69003cbd47e08190928745d3c806c0b50d1a01cfae052be8",
+    },
+    // 如需完全禁用上报可加：tracingDisabled: true
+  });
+
+  return await withTrace("OpenIsle Bot run", async () => {
+    // Runner.run 会自动循环执行：LLM → 工具 → 直至 finalOutput
+    const result = await runner.run(openisleBot, workflow.input_as_text, {
+      maxTurns: 16, // 允许更复杂任务多轮调用 MCP
+      // stream: true  // 如需边跑边看事件可打开，然后消费流事件
+    });
+
+    if (!result.finalOutput) {
+      // 若没产出最终结果，通常是启用了人工批准/工具失败/达到 maxTurns
+      throw new Error("Agent result is undefined (no final output).");
+    }
+
+    const openisleBotResult = { output_text: String(result.finalOutput) };
+
+    console.log("🤖 Agent result:\n" + openisleBotResult.output_text);
+    return openisleBotResult;
+  });
+};
+
+// ---- CLI 运行（示范）----
+if (require.main === module) {
+  (async () => {
+    try {
+      const query =
+        process.argv.slice(2).join(" ") || "你好，协助看看有什么未读消息，并结合帖子内容/评论内容予以回复";
+      console.log("🔍 Running workflow...");
+      await runWorkflow({ input_as_text: query });
+      process.exit(0);
+    } catch (err: any) {
+      console.error("❌ Agent failed:", err?.stack || err);
+      process.exit(1);
+    }
+  })();
+}