import { Agent, LLMClient } from 'mini-agents';
import { createReadTool, createWriteTool, createBashTool } from 'mini-agents/tools';

// 创建 LLM 客户端
const llm = new LLMClient({
  provider: 'anthropic',
  model: 'claude-sonnet-4-5-20250929',
  apiKey: "ANTHROPIC_API_KEY",
  apiBaseUrl: "ANTHROPIC_API_BASE_URL",
});

// 创建工作目录限制的工具
const tools = [
  createReadTool('./workspace'),
  createWriteTool('./workspace'),
  createBashTool('./workspace'),
];

// 创建 Agent
const agent = new Agent(llm, 'You are a helpful assistant.', tools);

// 添加用户消息
agent.addUserMessage('请帮我创建一个简单的 HTML 文件');

// 运行 Agent，处理事件流
for await (const event of agent.run()) {
  switch (event.type) {
    case 'thinking':
      console.log('🤔', event.thinking);
      break;
    case 'toolCall':
      console.log('🔧 调用:', event.toolCall.function.name);
      break;
    case 'toolResult':
      console.log('✅ 结果:', event.result.content);
      break;
    case 'assistantMessage':
      console.log('💬', event.content);
      break;
  }
}

import { SkillLoader, createGetSkillTool } from 'mini-agents/tools';

// 加载 Skills
const skillLoader = new SkillLoader('./skills');
const skills = await skillLoader.loadAll();

// 创建 GetSkillTool
const getSkillTool = createGetSkillTool(skills);

// 在系统提示词中声明可用的 Skills
const skillList = skillLoader.formatForSystemPrompt(skills);
const systemPrompt = `You are a helpful assistant.

Available Skills:
${skillList}`;

// 创建 Agent，包含 GetSkillTool
const agent = new Agent(
  llm,
  systemPrompt,
  [...tools, getSkillTool]
);

// 创建 AbortController
const controller = new AbortController();

// 支持取消的 Agent 运行
const runPromise = (async () => {
  for await (const event of agent.run({ signal: controller.signal })) {
    // 处理事件...
  }
})();

// 5秒后取消
setTimeout(() => controller.abort(), 5000);

await runPromise;

import { tool } from 'mini-agents';
import { z } from 'zod';

// 使用工厂函数创建自定义工具
export function createMyTool(apiKey: string) {
  return tool({
    name: 'my_custom_tool',
    description: 'My custom tool description',
    parameters: z.object({
      input: z.string().describe('Input parameter'),
    }),
    async execute({ input }) {
      // 工具逻辑
      const result = await fetch(`https://api.example.com/${input}`, {
        headers: { Authorization: `Bearer ${apiKey}` },
      });
      return result.text();
    },
  });
}

const llm = new LLMClient({
  provider: 'anthropic',
  model: 'claude-sonnet-4-5-20250929',
  apiKey: "ANTHROPIC_API_KEY",
  apiBaseUrl: "ANTHROPIC_API_BASE_URL",
});

const agent = new Agent(llm, systemPrompt, tools, {
  tokenLimit: 80000,  // 触发摘要的 token 阈值
});