feat: ReAct !

This commit is contained in:
Jerry 2025-12-14 00:58:38 +08:00
parent 8c413949ac
commit 8bc82dbd09
14 changed files with 1837 additions and 1 deletions

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@ -73,6 +73,29 @@
"surprise" "surprise"
] ]
}, },
"?useReAct": "是否启用ReAct工具调用模式(需要模型支持function calling)",
"useReAct": false,
"?reactConfig": "ReAct配置",
"reactConfig": {
"?maxIterations": "最大思考迭代次数",
"maxIterations": 8,
"?timeout": "ReAct超时时间(毫秒)",
"timeout": 45000,
"?enableThinking": "是否显示思考过程",
"enableThinking": false,
"?toolTimeout": "单个工具执行超时时间(毫秒)",
"toolTimeout": 10000,
"?minConfidence": "最小信心度阈值(0-1),低于此值会继续收集信息",
"minConfidence": 0.7,
"?contextMemoryLimit": "上下文记忆数量限制",
"contextMemoryLimit": 5,
"?enableContextHistory": "是否在迭代中包含聊天历史",
"enableContextHistory": true,
"?maxParallelTools": "单次最大并行工具调用数量",
"maxParallelTools": 5,
"?enableToolCombinations": "是否启用工具组合建议",
"enableToolCombinations": true
},
"?imageConfig": "图像生成配置", "?imageConfig": "图像生成配置",
"imageConfig": { "imageConfig": {
"?enabled": "是否启用图像生成功能", "?enabled": "是否启用图像生成功能",

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@ -4,6 +4,8 @@ import { getSystemPrompt } from '../../constants/ai/prompts.js';
import SessionManager from "./sessionManager.js"; import SessionManager from "./sessionManager.js";
import UserConfigManager from './userConfigManager.js'; import UserConfigManager from './userConfigManager.js';
import { imageProcessor } from './imageProcessor.js'; import { imageProcessor } from './imageProcessor.js';
import ReactEngine from './reactEngine.js';
import ToolInitializer from './tools/toolInitializer.js';
//ai调用器 //ai调用器
class AiCaller { class AiCaller {
@ -33,6 +35,13 @@ class AiCaller {
await UserConfigManager.init(); await UserConfigManager.init();
// 初始化ReAct引擎和工具系统
if (this.config.useReAct) {
await ReactEngine.init();
await ToolInitializer.initialize();
logger.info('[crystelf-ai] ReAct模式已启用');
}
this.isInitialized = true; this.isInitialized = true;
logger.info('[crystelf-ai] 初始化完成'); logger.info('[crystelf-ai] 初始化完成');
} catch (error) { } catch (error) {
@ -59,7 +68,14 @@ class AiCaller {
try { try {
const userId = e.user_id; const userId = e.user_id;
const userConfig = await UserConfigManager.getUserConfig(String(userId)); const userConfig = await UserConfigManager.getUserConfig(String(userId));
logger.info(`[crystelf-ai] 用户 ${userId} 使用配置 - 智能多模态: ${userConfig.smartMultimodal}, 多模态启用: ${userConfig.multimodalEnabled}`);
// 检查是否启用ReAct模式
if (this.config.useReAct && userConfig.useReAct !== false) {
logger.info(`[crystelf-ai] 用户 ${userId} 使用ReAct模式`);
return await this.callReActAi(prompt, chatHistory, memories, e, originalMessages, imageMessages, userConfig);
}
logger.info(`[crystelf-ai] 用户 ${userId} 使用传统模式 - 智能多模态: ${userConfig.smartMultimodal}, 多模态启用: ${userConfig.multimodalEnabled}`);
if (imageMessages && imageMessages.length > 0) { if (imageMessages && imageMessages.length > 0) {
logger.info(`[crystelf-ai] 检测到图像生成请求,数量: ${imageMessages.length}`); logger.info(`[crystelf-ai] 检测到图像生成请求,数量: ${imageMessages.length}`);
@ -362,6 +378,57 @@ class AiCaller {
return userOpenaiChat; return userOpenaiChat;
} }
/**
* ReAct模式AI调用
* @param prompt 用户输入
* @param chatHistory 聊天历史
* @param memories 记忆
* @param e 事件对象
* @param originalMessages 原始消息数组
* @param imageMessages 图像消息数组
* @param userConfig 用户配置
* @returns {Promise<Object>} 调用结果
*/
async callReActAi(prompt, chatHistory, memories, e, originalMessages, imageMessages, userConfig) {
try {
// 构建执行上下文
const context = {
e,
userConfig,
chatHistory,
memories,
originalMessages,
imageMessages
};
// 执行ReAct循环
const result = await ReactEngine.execute(prompt, context);
if (result.success) {
return {
success: true,
response: result.responses,
rawResponse: JSON.stringify(result.responses),
thinkingSteps: result.thinkingSteps,
iterations: result.iterations,
duration: result.duration
};
} else {
return {
success: false,
error: result.error,
response: result.responses
};
}
} catch (error) {
logger.error(`[crystelf-ai] ReAct模式调用失败: ${error.message}`);
return {
success: false,
error: error.message
};
}
}
/** /**
* 获取系统提示词 * 获取系统提示词
* @param {object} e 上下文事件对象 * @param {object} e 上下文事件对象

256
lib/ai/contextBuilder.js Normal file
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@ -0,0 +1,256 @@
import ConfigControl from '../config/configControl.js';
import { getSystemPrompt } from '../../constants/ai/prompts.js';
/**
* ReAct上下文构建器
* 为每次迭代构建丰富的上下文信息
*/
class ContextBuilder {
constructor() {
this.baseContext = null;
}
/**
* 构建基础上下文只在第一次构建
* @param {Object} e - 事件对象
* @param {Array} memories - 记忆数组
* @returns {Promise<Object>} 基础上下文
*/
async buildBaseContext(e, memories = []) {
if (this.baseContext) {
return this.baseContext;
}
const config = await ConfigControl.get();
const botInfo = {
id: e.bot?.uin || '未知',
name: config?.profile?.nickName || '晶灵',
};
const userInfo = {
id: e.user_id || e.sender?.user_id || '未知',
name: e.sender?.card || e.sender?.nickname || '用户',
isMaster: e.isMaster,
};
const now = Date.now();
const date = new Date(now);
const formatDate = date.toLocaleDateString('zh-CN');
const formatTime = date.toLocaleTimeString('zh-CN');
// 获取群聊历史
const aiConfig = await ConfigControl.get('ai');
const historyLen = aiConfig?.getChatHistoryLength || 10;
const maxMessageLength = aiConfig?.maxMessageLength || 100;
let groupChatHistory = '';
try {
const history = await e.group.getChatHistory(e.message_id, historyLen);
if (history && history.length > 0) {
groupChatHistory = '\n[群聊聊天记录(从旧到新)]\n';
for (const message of history) {
const msgArr = message.message;
for (const msg of msgArr) {
if (msg.type === 'text') {
let displayText = msg.text;
if (msg.text && msg.text.length > maxMessageLength) {
const omittedChars = msg.text.length - maxMessageLength;
displayText = msg.text.substring(0, maxMessageLength) + `...(省略${omittedChars}字)`;
}
groupChatHistory += `[${message.sender.user_id == e.bot.uin ? '你' : message.sender?.nickname},id:${message.sender?.user_id},seq:${message.message_id}]之前说过:${displayText}\n`;
}
if (msg.type === 'at') {
if (msg.qq == e.bot.uin) {
groupChatHistory += `[${message.sender?.nickname},id:${message.sender?.user_id},seq:${message.message_id}]之前@了你\n`;
} else {
const atNickname = await e.group.pickMember(msg.qq).nickname || '一个人';
groupChatHistory += `[${message.sender.user_id == e.bot.uin ? '你' : message.sender?.nickname},id:${message.sender?.user_id},seq:${message.message_id}]之前@了${atNickname},id是${msg.qq}\n`;
}
}
if (msg.type === 'image') {
groupChatHistory += `[${message.sender?.nickname},id:${message.sender?.user_id},seq:${message.message_id}]之前发送了一张图片(你可能暂时无法查看)\n`;
}
}
}
}
} catch (error) {
logger.warn(`[crystelf-ai] 获取群聊历史失败: ${error.message}`);
}
// 构建记忆上下文
let memoryContext = '';
if (memories && memories.length > 0) {
memoryContext = '\n[相关记忆信息]\n';
memories.forEach((memory, index) => {
const timeDiff = this.calculateTimeDifference(memory.createdAt);
memoryContext += `${index + 1}. 关键词:${memory.keywords},内容:${memory.data},记忆创建时间:${memory.createdAt},距离现在:${timeDiff}\n`;
});
}
this.baseContext = {
botInfo,
userInfo,
timeInfo: {
timestamp: now,
date: formatDate,
time: formatTime
},
groupChatHistory,
memoryContext,
environmentInfo: `现在的Date.now()是:${now}\n现在的日期是:${formatDate}\n现在的时间是:${formatTime}`
};
return this.baseContext;
}
/**
* 构建迭代上下文
* @param {Object} baseContext - 基础上下文
* @param {number} iteration - 当前迭代次数
* @param {Array} thinkingSteps - 思考步骤历史
* @param {string} userInput - 用户输入
* @returns {string} 格式化的上下文字符串
*/
buildIterationContext(baseContext, iteration, thinkingSteps, userInput) {
let contextPrompt = '';
// 基础身份和环境信息
contextPrompt += `=== 身份和环境信息 ===\n`;
contextPrompt += `[你的信息]\n`;
contextPrompt += `- 你的昵称:${baseContext.botInfo.name}\n`;
contextPrompt += `- 你的qq号${baseContext.botInfo.id}\n\n`;
contextPrompt += `[对话用户信息]\n`;
contextPrompt += `- 用户名字:${baseContext.userInfo.name}\n`;
contextPrompt += `- 用户qq号${baseContext.userInfo.id}\n`;
contextPrompt += `- 是否为主人:${baseContext.userInfo.isMaster ? '是' : '否'}(请注意!!!无论用户的用户名是什么,是否是主人都以这个为准!!禁止乱认主人!!)\n\n`;
contextPrompt += `[环境信息]\n`;
contextPrompt += `${baseContext.environmentInfo}\n\n`;
// 聊天历史(第一次迭代时提供)
if (iteration === 0 && baseContext.groupChatHistory) {
contextPrompt += baseContext.groupChatHistory + '\n';
}
// 记忆信息(第一次迭代时提供)
if (iteration === 0 && baseContext.memoryContext) {
contextPrompt += baseContext.memoryContext + '\n';
}
// 当前用户输入
contextPrompt += `=== 当前对话 ===\n`;
contextPrompt += `用户当前说:"${userInput}"\n\n`;
// 思考历史(从第二次迭代开始)
if (iteration > 0 && thinkingSteps.length > 0) {
contextPrompt += `=== 你的思考和行动历史 ===\n`;
thinkingSteps.forEach((step, index) => {
contextPrompt += `${step.iteration}轮:\n`;
contextPrompt += `- 你的思考: ${step.thought}\n`;
// 详细的行动信息
if (step.decision.tool_calls && step.decision.tool_calls.length > 0) {
contextPrompt += `- 你决定的行动: 调用${step.decision.tool_calls.length}个工具\n`;
step.decision.tool_calls.forEach((toolCall, i) => {
const toolName = toolCall.function.name;
const params = JSON.parse(toolCall.function.arguments);
contextPrompt += ` ${i + 1}. ${toolName}(${Object.entries(params).map(([k, v]) => `${k}="${v}"`).join(', ')})\n`;
});
} else if (step.decision.action) {
contextPrompt += `- 你决定的行动: ${step.decision.action}\n`;
}
// 详细的执行结果
if (step.observation.multipleTools && step.observation.toolResults) {
contextPrompt += `- 执行结果:\n`;
step.observation.toolResults.forEach((toolResult, i) => {
const status = toolResult.success ? '✓' : '✗';
contextPrompt += ` ${status} ${toolResult.toolName}: ${toolResult.result.message || toolResult.result.result || '完成'}\n`;
});
} else {
contextPrompt += `- 执行结果: ${step.observation.message || step.observation.result || '无结果'}\n`;
}
contextPrompt += `\n`;
});
}
// 当前迭代信息
contextPrompt += `=== 当前状态 ===\n`;
contextPrompt += `这是第${iteration + 1}轮思考\n`;
if (iteration === 0) {
contextPrompt += `这是第一轮,请仔细分析用户需求,确定是否需要收集更多信息\n`;
} else {
contextPrompt += `基于前面的思考和行动结果,请决定下一步\n`;
}
return contextPrompt;
}
/**
* 构建人格提示词
* @returns {Promise<string>} 人格提示词
*/
async buildPersonalityPrompt() {
try {
const basePrompt = await getSystemPrompt();
// 简化版人格提示词专注于ReAct模式
const reactPersonality = `你是一个名为晶灵的智能助手,具有以下特征:
1. 性格温和友善喜欢帮助用户解决问题
2. 知识渊博能够回答各种问题
3. 偶尔会使用一些可爱的表情和语气
4. 会记住与用户的对话内容提供个性化的回复
5. 能够理解中文语境和网络用语
6. 回复简洁明了避免过于冗长
在ReAct模式下你需要
- 仔细思考用户的真实需求
- 主动使用工具收集必要信息
- 基于收集的信息给出准确回答
- 当信息足够时使用find_answer工具结束
- 当需要更多信息时使用need_more_info工具继续`;
return reactPersonality;
} catch (error) {
logger.error(`[crystelf-ai] 构建人格提示词失败: ${error.message}`);
return '你是一个友善的智能助手,请帮助用户解决问题。';
}
}
/**
* 计算时间差
* @param {number} pastTime - 过去时间戳
* @returns {string} 时间差字符串
*/
calculateTimeDifference(pastTime) {
const now = Date.now();
const diff = now - pastTime;
const days = Math.floor(diff / (1000 * 60 * 60 * 24));
const hours = Math.floor((diff % (1000 * 60 * 60 * 24)) / (1000 * 60 * 60));
const minutes = Math.floor((diff % (1000 * 60 * 60)) / (1000 * 60));
let result = '';
if (days > 0) {
result += `${days}`;
}
if (hours > 0) {
result += `${hours}小时`;
}
if (minutes > 0) {
result += `${minutes}分钟`;
}
return result || '刚刚';
}
/**
* 重置上下文新对话时调用
*/
reset() {
this.baseContext = null;
}
}
export default new ContextBuilder();

413
lib/ai/reactEngine.js Normal file
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@ -0,0 +1,413 @@
import ConfigControl from '../config/configControl.js';
import toolRegistry from './tools/toolRegistry.js';
import AiCaller from './aiCaller.js';
import ContextBuilder from './contextBuilder.js';
import MemorySystem from './memorySystem.js';
import ToolCombinations from './tools/toolCombinations.js';
/**
* ReAct引擎
* Reasoning + Acting 循环
*/
class ReactEngine {
constructor() {
this.maxIterations = 5;
this.timeout = 30000;
this.toolTimeout = 10000;
this.enableThinking = false;
}
async init() {
try {
const config = await ConfigControl.get('ai');
const reactConfig = config?.reactConfig || {};
this.maxIterations = reactConfig.maxIterations || 5;
this.timeout = reactConfig.timeout || 30000;
this.toolTimeout = reactConfig.toolTimeout || 10000;
this.enableThinking = reactConfig.enableThinking || false;
logger.info('[crystelf-ai] ReAct引擎初始化完成');
} catch (error) {
logger.error(`[crystelf-ai] ReAct引擎初始化失败: ${error.message}`);
}
}
/**
* 执行ReAct循环
* @param {string} userInput - 用户输入
* @param {Object} context - 执行上下文
* @returns {Promise<Object>} 执行结果
*/
async execute(userInput, context) {
const startTime = Date.now();
const responseQueue = [];
const thinkingSteps = [];
// 扩展上下文
const executionContext = {
...context,
responseQueue,
startTime,
userInput
};
try {
// 构建基础上下文(包含记忆搜索)
const memories = await MemorySystem.searchMemories(context.e.user_id, userInput, 5);
const baseContext = await ContextBuilder.buildBaseContext(context.e, memories);
let shouldContinue = true;
let iteration = 0;
while (shouldContinue && iteration < this.maxIterations) {
// 检查超时
if (Date.now() - startTime > this.timeout) {
logger.warn(`[crystelf-ai] ReAct超时已迭代 ${iteration}`);
break;
}
// 构建当前迭代的上下文
const iterationContext = ContextBuilder.buildIterationContext(
baseContext,
iteration,
thinkingSteps,
userInput
);
// 思考阶段
const thought = await this.think(iterationContext, iteration);
// 决策阶段
const decision = await this.decide(thought, iterationContext, iteration);
// 行动阶段
const observation = await this.act(decision, executionContext);
// 记录思考步骤
const step = {
iteration: iteration + 1,
thought,
decision,
observation,
timestamp: Date.now(),
// 新增AI的推理过程和工具调用详情
reasoning: decision.reasoning || thought,
toolsUsed: observation.multipleTools ?
observation.toolResults?.map(tr => tr.toolName) || [] :
[decision.action || decision.tool_calls?.[0]?.function?.name].filter(Boolean),
executionTime: observation.duration || 0,
success: observation.success !== false
};
thinkingSteps.push(step);
// 检查是否应该结束循环
if (observation.shouldEnd === true) {
logger.info(`[crystelf-ai] AI决定结束循环${iteration + 1}轮完成`);
shouldContinue = false;
} else if (observation.shouldEnd === false) {
logger.info(`[crystelf-ai] AI决定继续收集信息进入第${iteration + 2}`);
shouldContinue = true;
}
iteration++;
}
// 如果循环结束但没有响应,添加默认响应
if (responseQueue.length === 0) {
responseQueue.push({
type: 'message',
data: iteration >= this.maxIterations ?
'我已经尽力思考了,但可能需要更多信息才能给出完美的回答...' :
'让我来帮助您解决这个问题。',
at: -1,
quote: -1,
recall: false
});
}
// 重置上下文构建器
ContextBuilder.reset();
return {
success: true,
responses: responseQueue,
thinkingSteps: this.enableThinking ? thinkingSteps : [],
iterations: iteration,
duration: Date.now() - startTime
};
} catch (error) {
logger.error(`[crystelf-ai] ReAct执行失败: ${error.message}`);
// 重置上下文构建器
ContextBuilder.reset();
// 返回错误响应
return {
success: false,
error: error.message,
responses: [{
type: 'message',
data: '抱歉,我在处理您的请求时遇到了问题...',
at: -1,
quote: -1,
recall: false
}],
thinkingSteps: this.enableThinking ? thinkingSteps : []
};
}
}
/**
* 思考阶段
*/
async think(iterationContext, iteration) {
const personalityPrompt = await ContextBuilder.buildPersonalityPrompt();
const thinkingPrompt = `${personalityPrompt}
${iterationContext}
=== 思考任务 ===
请仔细分析当前情况思考
1. 用户的真实需求是什么
2. 我现在掌握了哪些信息
3. 还缺少什么关键信息
4. 下一步应该采取什么行动
请简洁明了地描述你的思考过程`;
try {
const response = await this.callAI(thinkingPrompt, {});
return response || '继续分析用户需求';
} catch (error) {
logger.error(`[crystelf-ai] 思考阶段失败: ${error.message}`);
return '继续分析用户需求';
}
}
/**
* 决策阶段
*/
async decide(thought, iterationContext, iteration) {
const toolSchemas = toolRegistry.getToolSchemas();
const personalityPrompt = await ContextBuilder.buildPersonalityPrompt();
const systemPrompt = `${personalityPrompt}
${iterationContext}
=== 决策指南 ===
基于你的思考"${thought}"
你现在需要决定下一步行动可用工具
${JSON.stringify(toolSchemas, null, 2)}
重要规则
1. 你可以同时调用多个工具来提高效率例如同时搜索记忆和获取聊天历史
2. 如果你已经有足够信息回答用户使用 find_answer 工具表示准备结束
3. 如果需要更多信息可以先调用 need_more_info 说明需求然后调用相应的信息收集工具
4. 使用具体的工具来收集信息 search_memory, get_chat_history
5. 使用 send_message 等工具来回复用户
6. 优先考虑用户的实际需求不要过度收集信息
7. 合理利用并行工具调用但避免调用冲突的工具
${ToolCombinations.getAllCombinationsDescription()}
请调用最合适的工具可以是多个记住
- 优先使用推荐的工具组合来提高效率
- 可以根据具体情况调整组合中的参数
- 避免调用冲突的工具如同时使用find_answer和need_more_info`;
const messages = [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: '请根据当前思考决定下一步行动。' }
];
try {
// 调用支持工具调用的AI
const response = await this.callAIWithTools(messages, toolSchemas, {});
return response;
} catch (error) {
logger.error(`[crystelf-ai] 决策阶段失败: ${error.message}`);
return {
action: 'send_message',
parameters: {
content: '我在思考过程中遇到了问题,请稍后再试。'
}
};
}
}
/**
* 行动阶段 - 支持多工具并行调用
*/
async act(decision, context) {
try {
if (decision.tool_calls && decision.tool_calls.length > 0) {
// 处理多个工具调用
const toolResults = [];
const toolPromises = [];
logger.info(`[crystelf-ai] 准备并行执行 ${decision.tool_calls.length} 个工具`);
// 并行执行所有工具调用
for (const toolCall of decision.tool_calls) {
const toolName = toolCall.function.name;
const parameters = JSON.parse(toolCall.function.arguments);
logger.info(`[crystelf-ai] 调用工具: ${toolName}, 参数: ${JSON.stringify(parameters)}`);
const toolPromise = toolRegistry.executeTool(toolName, parameters, context)
.then(result => ({
toolName,
parameters,
result,
toolCallId: toolCall.id
}))
.catch(error => ({
toolName,
parameters,
result: {
success: false,
message: `工具执行失败: ${error.message}`
},
toolCallId: toolCall.id,
error: error.message
}));
toolPromises.push(toolPromise);
}
// 等待所有工具执行完成
const results = await Promise.all(toolPromises);
// 整合结果
let shouldEnd = null;
let hasError = false;
const messages = [];
for (const { toolName, parameters, result, toolCallId, error } of results) {
toolResults.push({
toolName,
parameters,
result,
toolCallId,
success: !error
});
if (error) {
hasError = true;
messages.push(`工具 ${toolName} 执行失败: ${error}`);
} else {
messages.push(`工具 ${toolName} 执行成功: ${result.message || result.result || '完成'}`);
// 检查循环控制
if (result.shouldEnd !== undefined) {
shouldEnd = result.shouldEnd;
}
}
}
return {
success: !hasError,
message: messages.join('\n'),
toolResults,
shouldEnd,
multipleTools: true,
toolCount: decision.tool_calls.length
};
} else if (decision.action) {
// 处理单个直接行动
const result = await toolRegistry.executeTool(decision.action, decision.parameters, context);
return {
...result,
multipleTools: false,
toolCount: 1
};
} else {
return {
success: false,
message: '未识别的决策格式',
multipleTools: false,
toolCount: 0
};
}
} catch (error) {
logger.error(`[crystelf-ai] 行动阶段失败: ${error.message}`);
return {
success: false,
message: `执行行动失败: ${error.message}`,
multipleTools: false,
toolCount: 0
};
}
}
/**
* 调用AI文本模式
*/
async callAI(prompt, context) {
// 创建临时的事件对象用于AI调用
const tempE = {
user_id: 'react_system',
bot: { uin: 'system' },
group_id: 'system'
};
const result = await AiCaller.callTextAi(prompt, [], [], tempE);
if (result.success) {
return result.response;
} else {
throw new Error(result.error || 'AI调用失败');
}
}
/**
* 调用AI工具调用模式
*/
async callAIWithTools(messages, tools, context) {
// 使用系统配置调用AI
const config = await ConfigControl.get('ai');
const apiCaller = AiCaller.getUserOpenaiInstance('system', config);
try {
const completion = await apiCaller.openai.chat.completions.create({
model: config.modelType,
messages: messages,
tools: tools,
tool_choice: 'auto',
temperature: config.temperature || 0.7,
parallel_tool_calls: true // 启用并行工具调用
});
const message = completion.choices[0].message;
if (message.tool_calls && message.tool_calls.length > 0) {
logger.info(`[crystelf-ai] AI决定调用 ${message.tool_calls.length} 个工具: ${message.tool_calls.map(tc => tc.function.name).join(', ')}`);
return {
tool_calls: message.tool_calls,
finished: false,
reasoning: message.content || '执行工具调用'
};
} else {
return {
action: 'send_message',
parameters: {
content: message.content
},
finished: true,
reasoning: message.content
};
}
} catch (error) {
logger.error(`[crystelf-ai] 工具调用AI失败: ${error.message}`);
throw error;
}
}
}
export default new ReactEngine();

View File

@ -20,6 +20,13 @@ class ResponseHandler {
*/ */
async processResponse(rawResponse, userMessage, groupId,user_id) { async processResponse(rawResponse, userMessage, groupId,user_id) {
try { try {
// 检查是否是ReAct模式的响应
if (Array.isArray(rawResponse)) {
logger.info('[crystelf-ai] 处理ReAct模式响应');
return await this.processReActResponse(rawResponse, userMessage, groupId, user_id);
}
// 传统模式响应处理
const parsedResponse = this.parseAiResponse(rawResponse); const parsedResponse = this.parseAiResponse(rawResponse);
if (!parsedResponse.success) { if (!parsedResponse.success) {
logger.error(`[crystelf-ai] 解析AI响应失败: ${parsedResponse.error}`); logger.error(`[crystelf-ai] 解析AI响应失败: ${parsedResponse.error}`);
@ -43,6 +50,32 @@ class ResponseHandler {
} }
} }
/**
* 处理ReAct模式响应
* @param responses ReAct响应数组
* @param userMessage 用户消息
* @param groupId 群聊id
* @param user_id 用户id
* @returns {Promise<Array>} 处理后的消息数组
*/
async processReActResponse(responses, userMessage, groupId, user_id) {
const processedMessages = [];
for (const response of responses) {
// ReAct响应已经是标准格式直接处理
const processedMessage = await this.processMessage(response, userMessage, groupId, user_id);
if (processedMessage) {
processedMessages.push(processedMessage);
}
}
if (processedMessages.length === 0) {
return this.createDefaultResponse();
}
return processedMessages;
}
parseAiResponse(response) { parseAiResponse(response) {
try { try {
const cleanResponse = this.cleanResponseText(response); const cleanResponse = this.cleanResponseText(response);

53
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@ -0,0 +1,53 @@
/**
* 基础工具类
* 所有工具都应该继承这个类
*/
class BaseTool {
constructor(name, description, parameters = {}) {
this.name = name;
this.description = description;
this.parameters = parameters;
}
/**
* 执行工具
* @param {Object} params - 工具参数
* @param {Object} context - 执行上下文
* @returns {Promise<Object>} 执行结果
*/
async execute(params, context) {
throw new Error('子类必须实现 execute 方法');
}
/**
* 验证参数
* @param {Object} params - 参数对象
* @returns {boolean} 是否有效
*/
validateParams(params) {
// 基础参数验证逻辑
for (const [key, schema] of Object.entries(this.parameters.properties || {})) {
if (schema.required && !params[key]) {
throw new Error(`缺少必需参数: ${key}`);
}
}
return true;
}
/**
* 获取工具的JSON Schema定义
* @returns {Object} JSON Schema
*/
getSchema() {
return {
type: 'function',
function: {
name: this.name,
description: this.description,
parameters: this.parameters
}
};
}
}
export default BaseTool;

140
lib/ai/tools/contentTool.js Normal file
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@ -0,0 +1,140 @@
import BaseTool from './baseTool.js';
import Renderer from '../renderer.js';
/**
* 渲染代码工具
*/
class RenderCodeTool extends BaseTool {
constructor() {
super(
'render_code',
'将代码渲染为高亮图片',
{
type: 'object',
properties: {
code: {
type: 'string',
description: '要渲染的代码内容'
},
language: {
type: 'string',
description: '编程语言类型如javascript、python、java等'
}
},
required: ['code', 'language']
}
);
}
async execute(params, context) {
const { code, language } = params;
const { responseQueue } = context;
const codeObj = {
type: 'code',
data: code,
language: language
};
responseQueue.push(codeObj);
return {
success: true,
message: `已渲染${language}代码块`
};
}
}
/**
* 渲染Markdown工具
*/
class RenderMarkdownTool extends BaseTool {
constructor() {
super(
'render_markdown',
'将Markdown内容渲染为图片',
{
type: 'object',
properties: {
markdown: {
type: 'string',
description: '要渲染的Markdown内容'
}
},
required: ['markdown']
}
);
}
async execute(params, context) {
const { markdown } = params;
const { responseQueue } = context;
const markdownObj = {
type: 'markdown',
data: markdown
};
responseQueue.push(markdownObj);
return {
success: true,
message: '已渲染Markdown内容'
};
}
}
/**
* 生成图片工具
*/
class GenerateImageTool extends BaseTool {
constructor() {
super(
'generate_image',
'根据描述生成图片',
{
type: 'object',
properties: {
prompt: {
type: 'string',
description: '图片生成的描述文本'
},
style: {
type: 'string',
enum: ['natural', 'vivid'],
description: '图片风格默认natural',
default: 'natural'
},
size: {
type: 'string',
enum: ['1024x1024', '1792x1024', '1024x1792'],
description: '图片尺寸默认1024x1024',
default: '1024x1024'
}
},
required: ['prompt']
}
);
}
async execute(params, context) {
const { prompt, style = 'natural', size = '1024x1024' } = params;
const { responseQueue } = context;
const imageObj = {
type: 'image',
data: prompt,
style: style,
size: size
};
responseQueue.push(imageObj);
return {
success: true,
message: `已生成图片: ${prompt.substring(0, 30)}...`
};
}
}
export { RenderCodeTool, RenderMarkdownTool, GenerateImageTool };

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@ -0,0 +1,98 @@
import BaseTool from './baseTool.js';
/**
* 找到答案工具 - 结束ReAct循环
*/
class FindAnswerTool extends BaseTool {
constructor() {
super(
'find_answer',
'当你已经收集到足够信息并准备给出最终回答时使用此工具',
{
type: 'object',
properties: {
confidence: {
type: 'number',
description: '回答的信心程度(0-1)1表示非常确信',
minimum: 0,
maximum: 1
},
summary: {
type: 'string',
description: '简要总结你收集到的关键信息'
},
ready_to_respond: {
type: 'boolean',
description: '是否准备好给出最终回答',
default: true
}
},
required: ['confidence', 'summary']
}
);
}
async execute(params, context) {
const { confidence, summary, ready_to_respond = true } = params;
logger.info(`[crystelf-ai] AI决定结束循环 - 信心度: ${confidence}, 摘要: ${summary}`);
return {
success: true,
message: `已收集足够信息,准备回答`,
shouldEnd: true,
confidence,
summary,
readyToRespond: ready_to_respond
};
}
}
/**
* 需要更多信息工具 - 继续ReAct循环
*/
class NeedMoreInfoTool extends BaseTool {
constructor() {
super(
'need_more_info',
'当你需要更多信息才能给出满意回答时使用此工具',
{
type: 'object',
properties: {
missing_info: {
type: 'string',
description: '描述还缺少什么关键信息'
},
next_action_plan: {
type: 'string',
description: '下一步计划采取什么行动获取信息'
},
urgency: {
type: 'string',
enum: ['low', 'medium', 'high'],
description: '获取这些信息的紧急程度',
default: 'medium'
}
},
required: ['missing_info', 'next_action_plan']
}
);
}
async execute(params, context) {
const { missing_info, next_action_plan, urgency = 'medium' } = params;
logger.info(`[crystelf-ai] AI需要更多信息 - 缺失: ${missing_info}, 计划: ${next_action_plan}`);
return {
success: true,
message: `需要更多信息: ${missing_info}`,
shouldEnd: false,
missingInfo: missing_info,
nextPlan: next_action_plan,
urgency
};
}
}
export { FindAnswerTool, NeedMoreInfoTool };

105
lib/ai/tools/memoryTool.js Normal file
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@ -0,0 +1,105 @@
import BaseTool from './baseTool.js';
import MemorySystem from '../memorySystem.js';
/**
* 存储记忆工具
*/
class StoreMemoryTool extends BaseTool {
constructor() {
super(
'store_memory',
'存储重要的用户信息到记忆系统',
{
type: 'object',
properties: {
content: {
type: 'string',
description: '要存储的记忆内容,应该简洁明了'
},
keywords: {
type: 'array',
items: {
type: 'string'
},
description: '记忆的关键词数组,用于后续检索'
},
importance: {
type: 'number',
description: '记忆重要性等级(1-10)默认5',
minimum: 1,
maximum: 10,
default: 5
},
expire_days: {
type: 'number',
description: '记忆保存天数默认30天',
default: 30
}
},
required: ['content', 'keywords']
}
);
}
async execute(params, context) {
const { content, keywords, importance = 5, expire_days = 30 } = params;
const { e } = context;
try {
// 验证记忆内容的合法性
if (!this.isValidMemoryContent(content)) {
return {
success: false,
message: '记忆内容不符合存储规范'
};
}
const memoryId = await MemorySystem.addMemory(
e.group_id,
e.user_id,
content,
keywords,
expire_days
);
if (memoryId) {
return {
success: true,
message: `已存储记忆: ${content.substring(0, 30)}...`,
memoryId
};
} else {
return {
success: false,
message: '记忆存储失败'
};
}
} catch (error) {
return {
success: false,
message: `存储记忆失败: ${error.message}`
};
}
}
/**
* 验证记忆内容是否合法
* @param {string} content - 记忆内容
* @returns {boolean} 是否合法
*/
isValidMemoryContent(content) {
// 不允许存储的内容类型
const forbiddenPatterns = [
/主人/i,
/叫.*主人/i,
/角色扮演/i,
/催眠/i,
/修改.*人设/i,
/更改.*提示词/i
];
return !forbiddenPatterns.some(pattern => pattern.test(content));
}
}
export { StoreMemoryTool };

148
lib/ai/tools/messageTool.js Normal file
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@ -0,0 +1,148 @@
import BaseTool from './baseTool.js';
/**
* 发送消息工具
* 整合了原来的messageatquote功能
*/
class SendMessageTool extends BaseTool {
constructor() {
super(
'send_message',
'发送消息给用户,支持@用户和引用消息',
{
type: 'object',
properties: {
content: {
type: 'string',
description: '消息内容'
},
at_user: {
type: 'string',
description: '要@的用户QQ号不需要@时不传此参数'
},
quote_message_id: {
type: 'string',
description: '要引用的消息ID不需要引用时不传此参数'
},
recall_after: {
type: 'number',
description: '多少秒后撤回消息,不需要撤回时不传此参数'
}
},
required: ['content']
}
);
}
async execute(params, context) {
const { content, at_user, quote_message_id, recall_after } = params;
const { e, responseQueue } = context;
// 构建消息对象,兼容原来的格式
const messageObj = {
type: 'message',
data: content,
at: at_user ? parseInt(at_user) : -1,
quote: quote_message_id ? parseInt(quote_message_id) : -1,
recall: recall_after ? true : false
};
// 添加到响应队列
responseQueue.push(messageObj);
return {
success: true,
message: `已发送消息: ${content.substring(0, 50)}${content.length > 50 ? '...' : ''}`,
messageId: Date.now().toString()
};
}
}
/**
* 发送表情包工具
*/
class SendMemeTool extends BaseTool {
constructor() {
super(
'send_meme',
'发送表情包',
{
type: 'object',
properties: {
emotion: {
type: 'string',
enum: ['angry', 'bye', 'confused', 'default', 'good', 'goodmorning', 'goodnight', 'happy', 'sad', 'shy', 'sorry', 'surprise'],
description: '表情包情绪类型'
}
},
required: ['emotion']
}
);
}
async execute(params, context) {
const { emotion } = params;
const { responseQueue } = context;
const memeObj = {
type: 'meme',
data: emotion
};
responseQueue.push(memeObj);
return {
success: true,
message: `已发送${emotion}表情包`
};
}
}
/**
* 戳一戳工具
*/
class PokeTool extends BaseTool {
constructor() {
super(
'poke_user',
'戳一戳指定用户',
{
type: 'object',
properties: {
user_id: {
type: 'string',
description: '要戳的用户QQ号'
}
},
required: ['user_id']
}
);
}
async execute(params, context) {
const { user_id } = params;
const { e, responseQueue } = context;
// 不能戳自己
if (user_id === e.bot.uin.toString()) {
return {
success: false,
message: '不能戳自己'
};
}
const pokeObj = {
type: 'poke',
id: parseInt(user_id)
};
responseQueue.push(pokeObj);
return {
success: true,
message: `已戳一戳用户 ${user_id}`
};
}
}
export { SendMessageTool, SendMemeTool, PokeTool };

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@ -0,0 +1,141 @@
import BaseTool from './baseTool.js';
import MemorySystem from '../memorySystem.js';
/**
* 搜索记忆工具
*/
class SearchMemoryTool extends BaseTool {
constructor() {
super(
'search_memory',
'搜索用户的历史记忆和对话信息',
{
type: 'object',
properties: {
query: {
type: 'string',
description: '搜索关键词或问题'
},
limit: {
type: 'number',
description: '返回结果数量限制默认5条',
default: 5
}
},
required: ['query']
}
);
}
async execute(params, context) {
const { query, limit = 5 } = params;
const { e } = context;
try {
const memories = await MemorySystem.searchMemories(e.user_id, query, limit);
if (!memories || memories.length === 0) {
return {
success: true,
message: '未找到相关记忆',
memories: []
};
}
const formattedMemories = memories.map(memory => ({
content: memory.data,
keywords: memory.keywords,
relevance: memory.relevance,
createdAt: new Date(memory.createdAt).toLocaleString()
}));
return {
success: true,
message: `找到 ${memories.length} 条相关记忆`,
memories: formattedMemories
};
} catch (error) {
return {
success: false,
message: `搜索记忆失败: ${error.message}`,
memories: []
};
}
}
}
/**
* 获取聊天历史工具
*/
class GetChatHistoryTool extends BaseTool {
constructor() {
super(
'get_chat_history',
'获取最近的聊天历史记录',
{
type: 'object',
properties: {
count: {
type: 'number',
description: '获取消息数量默认10条',
default: 10
},
include_bot: {
type: 'boolean',
description: '是否包含机器人自己的消息默认true',
default: true
}
}
}
);
}
async execute(params, context) {
const { count = 10, include_bot = true } = params;
const { e } = context;
try {
const history = await e.group.getChatHistory(e.message_id, count);
if (!history || history.length === 0) {
return {
success: true,
message: '未找到聊天历史',
history: []
};
}
const formattedHistory = history
.filter(msg => include_bot || msg.sender?.user_id !== e.bot.uin)
.map(msg => {
const textContent = msg.message
?.filter(m => m.type === 'text')
?.map(m => m.text)
?.join('') || '';
return {
user_id: msg.sender?.user_id,
nickname: msg.sender?.nickname,
content: textContent,
timestamp: new Date(msg.time * 1000).toLocaleString(),
message_id: msg.message_id
};
})
.filter(msg => msg.content.trim() !== '');
return {
success: true,
message: `获取到 ${formattedHistory.length} 条聊天记录`,
history: formattedHistory
};
} catch (error) {
return {
success: false,
message: `获取聊天历史失败: ${error.message}`,
history: []
};
}
}
}
export { SearchMemoryTool, GetChatHistoryTool };

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@ -0,0 +1,174 @@
/**
* 工具组合建议系统
* 为AI提供常用的工具组合模式
*/
class ToolCombinations {
constructor() {
this.combinations = new Map();
this.initializeCombinations();
}
initializeCombinations() {
// 信息收集组合
this.combinations.set('gather_user_info', {
name: '收集用户信息',
tools: ['search_memory', 'get_chat_history'],
description: '同时搜索用户记忆和获取聊天历史',
useCase: '当需要了解用户背景信息时',
example: {
search_memory: { query: '用户偏好', limit: 5 },
get_chat_history: { count: 10, include_bot: true }
}
});
// 信息收集并回复组合
this.combinations.set('search_and_respond', {
name: '搜索并回复',
tools: ['search_memory', 'send_message'],
description: '搜索相关信息后立即回复用户',
useCase: '当能够基于记忆直接回答时',
example: {
search_memory: { query: '相关关键词', limit: 3 },
send_message: { content: '基于搜索结果的回复' }
}
});
// 存储并回复组合
this.combinations.set('store_and_respond', {
name: '存储并回复',
tools: ['store_memory', 'send_message'],
description: '存储重要信息并回复用户',
useCase: '当用户提供新的重要信息时',
example: {
store_memory: { content: '重要信息', keywords: ['关键词'] },
send_message: { content: '我记住了这个信息' }
}
});
// 多渠道信息收集
this.combinations.set('comprehensive_search', {
name: '全面信息收集',
tools: ['search_memory', 'get_chat_history', 'need_more_info'],
description: '全面收集信息并说明还需要什么',
useCase: '处理复杂问题时',
example: {
search_memory: { query: '相关主题', limit: 5 },
get_chat_history: { count: 15, include_bot: true },
need_more_info: { missing_info: '具体需求', next_action_plan: '下一步计划' }
}
});
// 内容生成组合
this.combinations.set('generate_content', {
name: '生成内容',
tools: ['render_code', 'send_message'],
description: '渲染代码并发送说明',
useCase: '当需要展示代码示例时',
example: {
render_code: { code: '示例代码', language: 'javascript' },
send_message: { content: '这是相关的代码示例' }
}
});
// 完整回复组合
this.combinations.set('complete_response', {
name: '完整回复',
tools: ['find_answer', 'send_message', 'send_meme'],
description: '给出完整回答并结束对话',
useCase: '当有足够信息给出最终回答时',
example: {
find_answer: { confidence: 0.8, summary: '信息摘要' },
send_message: { content: '详细回答' },
send_meme: { emotion: 'happy' }
}
});
}
/**
* 获取推荐的工具组合
* @param {string} scenario - 场景描述
* @returns {Array} 推荐的组合
*/
getRecommendations(scenario) {
const recommendations = [];
// 基于场景关键词匹配
const scenarioLower = scenario.toLowerCase();
if (scenarioLower.includes('记忆') || scenarioLower.includes('历史')) {
recommendations.push(this.combinations.get('gather_user_info'));
}
if (scenarioLower.includes('回答') || scenarioLower.includes('回复')) {
recommendations.push(this.combinations.get('search_and_respond'));
}
if (scenarioLower.includes('存储') || scenarioLower.includes('记住')) {
recommendations.push(this.combinations.get('store_and_respond'));
}
if (scenarioLower.includes('复杂') || scenarioLower.includes('详细')) {
recommendations.push(this.combinations.get('comprehensive_search'));
}
if (scenarioLower.includes('代码') || scenarioLower.includes('示例')) {
recommendations.push(this.combinations.get('generate_content'));
}
if (scenarioLower.includes('完成') || scenarioLower.includes('结束')) {
recommendations.push(this.combinations.get('complete_response'));
}
return recommendations;
}
/**
* 获取所有组合的描述
* @returns {string} 格式化的组合描述
*/
getAllCombinationsDescription() {
let description = '=== 常用工具组合模式 ===\n\n';
for (const [key, combo] of this.combinations) {
description += `${combo.name}:\n`;
description += `- 工具: ${combo.tools.join(', ')}\n`;
description += `- 说明: ${combo.description}\n`;
description += `- 适用: ${combo.useCase}\n\n`;
}
return description;
}
/**
* 验证工具组合的兼容性
* @param {Array} toolNames - 工具名称数组
* @returns {Object} 验证结果
*/
validateCombination(toolNames) {
const conflicts = [];
const warnings = [];
// 检查冲突的工具组合
if (toolNames.includes('find_answer') && toolNames.includes('need_more_info')) {
conflicts.push('find_answer 和 need_more_info 不能同时使用');
}
if (toolNames.includes('send_message') && toolNames.length === 1) {
warnings.push('单独使用 send_message 可能缺少信息收集');
}
// 检查工具数量
if (toolNames.length > 5) {
warnings.push('同时调用过多工具可能影响性能');
}
return {
isValid: conflicts.length === 0,
conflicts,
warnings,
toolCount: toolNames.length
};
}
}
export default new ToolCombinations();

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import toolRegistry from './toolRegistry.js';
import { SendMessageTool, SendMemeTool, PokeTool } from './messageTool.js';
import { SearchMemoryTool, GetChatHistoryTool } from './retrievalTool.js';
import { StoreMemoryTool } from './memoryTool.js';
import { RenderCodeTool, RenderMarkdownTool, GenerateImageTool } from './contentTool.js';
import { FindAnswerTool, NeedMoreInfoTool } from './controlTool.js';
/**
* 工具初始化器
* 负责注册所有可用的工具
*/
class ToolInitializer {
static async initialize() {
try {
// 清空现有工具
toolRegistry.clear();
// 注册基础交互工具
toolRegistry.register(new SendMessageTool());
toolRegistry.register(new SendMemeTool());
toolRegistry.register(new PokeTool());
// 注册信息检索工具
toolRegistry.register(new SearchMemoryTool());
toolRegistry.register(new GetChatHistoryTool());
// 注册记忆管理工具
toolRegistry.register(new StoreMemoryTool());
// 注册内容生成工具
toolRegistry.register(new RenderCodeTool());
toolRegistry.register(new RenderMarkdownTool());
toolRegistry.register(new GenerateImageTool());
// 注册循环控制工具
toolRegistry.register(new FindAnswerTool());
toolRegistry.register(new NeedMoreInfoTool());
const toolCount = toolRegistry.getToolList().length;
logger.info(`[crystelf-ai] 工具初始化完成,共注册 ${toolCount} 个工具`);
return true;
} catch (error) {
logger.error(`[crystelf-ai] 工具初始化失败: ${error.message}`);
return false;
}
}
/**
* 获取工具统计信息
*/
static getToolStats() {
const tools = toolRegistry.getToolList();
const categories = {
message: 0,
retrieval: 0,
memory: 0,
content: 0,
other: 0
};
tools.forEach(tool => {
if (tool.name.includes('message') || tool.name.includes('meme') || tool.name.includes('poke')) {
categories.message++;
} else if (tool.name.includes('search') || tool.name.includes('get')) {
categories.retrieval++;
} else if (tool.name.includes('memory')) {
categories.memory++;
} else if (tool.name.includes('render') || tool.name.includes('generate')) {
categories.content++;
} else {
categories.other++;
}
});
return {
total: tools.length,
categories,
tools: tools.map(t => ({ name: t.name, description: t.description }))
};
}
}
export default ToolInitializer;

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/**
* 工具注册表
* 管理所有可用的工具
*/
class ToolRegistry {
constructor() {
this.tools = new Map();
this.toolSchemas = [];
}
/**
* 注册工具
* @param {BaseTool} tool - 工具实例
*/
register(tool) {
this.tools.set(tool.name, tool);
this.toolSchemas.push(tool.getSchema());
logger.info(`[crystelf-ai] 注册工具: ${tool.name}`);
}
/**
* 获取工具
* @param {string} name - 工具名称
* @returns {BaseTool|null} 工具实例
*/
getTool(name) {
return this.tools.get(name) || null;
}
/**
* 获取所有工具的Schema
* @returns {Array} 工具Schema数组
*/
getToolSchemas() {
return this.toolSchemas;
}
/**
* 执行工具
* @param {string} name - 工具名称
* @param {Object} params - 参数
* @param {Object} context - 执行上下文
* @returns {Promise<Object>} 执行结果
*/
async executeTool(name, params, context) {
const tool = this.getTool(name);
if (!tool) {
throw new Error(`工具不存在: ${name}`);
}
try {
tool.validateParams(params);
const startTime = Date.now();
const result = await tool.execute(params, context);
const duration = Date.now() - startTime;
logger.info(`[crystelf-ai] 工具 ${name} 执行完成,耗时: ${duration}ms`);
return {
success: true,
result,
toolName: name,
duration,
timestamp: Date.now()
};
} catch (error) {
logger.error(`[crystelf-ai] 工具 ${name} 执行失败: ${error.message}`);
return {
success: false,
error: error.message,
toolName: name,
timestamp: Date.now()
};
}
}
/**
* 获取工具列表
* @returns {Array} 工具信息数组
*/
getToolList() {
return Array.from(this.tools.values()).map(tool => ({
name: tool.name,
description: tool.description,
parameters: tool.parameters
}));
}
/**
* 清空所有工具
*/
clear() {
this.tools.clear();
this.toolSchemas = [];
}
}
// 创建全局工具注册表实例
const toolRegistry = new ToolRegistry();
export default toolRegistry;