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gaoao-3
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commit
c2819f66cc
3 changed files with 190 additions and 162 deletions
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@ -18,7 +18,7 @@ import { KickOutTool } from '../utils/tools/KickOutTool.js'
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import { SetTitleTool } from '../utils/tools/SetTitleTool.js'
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import {SerpTool} from '../utils/tools/SerpTool.js'
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import { APTool } from '../utils/tools/APTool.js'
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import { ContentSearchTool } from '../utils/tools/ContentSearchTool.js'
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import { CustomSearchTool } from '../utils/tools/CustomSearchTool.js'
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import { UrlExtractionTool } from '../utils/tools/UrlExtractionTool.js'
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// 角色映射表
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@ -170,7 +170,7 @@ ${Object.values(faceMap).map(face => `[/${face}]`).join('，')}
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new APTool(),
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new WebsiteTool(),
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new UrlExtractionTool(),
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new ContentSearchTool(),
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new CustomSearchTool(),
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new WeatherTool()
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]
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if (Config.azSerpKey) {
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@ -1,160 +0,0 @@
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import { AbstractTool } from './AbstractTool.js';
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import fetch from 'node-fetch';
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import { Config } from '../config.js';
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/**
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* 内容搜索和分析工具类 - 使用 Gemini API
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* @class ContentSearchTool
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* @extends {AbstractTool}
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*/
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export class ContentSearchTool extends AbstractTool {
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name = 'ContentSearchTool';
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parameters = {
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properties: {
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content: { // 改为 content 参数
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type: 'string',
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description: '需要分析的文本内容',
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},
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task: { // 新增 task 参数
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type: 'string',
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description: '分析任务类型（如：总结、分析、问答等）',
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default: 'summarize'
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},
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length: {
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type: 'integer',
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description: '期望的输出长度（句子数），默认为3',
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},
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},
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required: ['content'],
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};
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description = '使用 Gemini API 进行内容分析，支持文本总结、深度分析、问答等功能。';
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/**
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* 工具执行函数
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* @param {Object} opt - 工具参数
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* @param {string} opt.content - 需要分析的内容
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* @param {string} [opt.task='summarize'] - 分析任务类型
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* @param {number} [opt.length=3] - 输出长度
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* @returns {Promise<Object>} - 包含答案和分析的对象
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*/
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func = async function (opt) {
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const { content, task = 'summarize', length = 3 } = opt;
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if (!content?.trim()) {
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throw new Error('分析内容不能为空');
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}
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try {
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const result = await this.analyzeWithGemini(content, task, length);
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console.log(`分析结果: ${JSON.stringify(result)}`);
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return result;
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} catch (error) {
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console.error('内容分析失败:', error);
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throw new Error(`内容分析失败: ${error.message}`);
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}
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};
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/**
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* 使用 Gemini API 进行内容分析
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* @param {string} content - 需要分析的内容
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* @param {string} task - 分析任务类型
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* @param {number} length - 输出长度
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* @returns {Promise<Object>} - 分析结果
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* @private
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*/
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async analyzeWithGemini(content, task, length) {
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const apiKey = Config.geminiKey;
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const apiBaseUrl = Config.geminiBaseUrl;
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const apiUrl = `${apiBaseUrl}/v1beta/models/gemini-2.0-flash-exp:generateContent?key=${apiKey}`;
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if (!apiKey || !apiBaseUrl) {
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throw new Error('Gemini API 配置缺失');
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}
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const response = await fetch(apiUrl, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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contents: [{
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parts: [{
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text: this.constructPrompt(content, task, length)
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}]
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}],
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tools: [{
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googleSearch: {}
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}],
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generationConfig: {
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temperature: 0.7,
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topP: 0.8,
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topK: 40,
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}
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})
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});
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const data = await response.json();
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if (!response.ok) {
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throw new Error(`API 请求失败: ${data.error?.message || '未知错误'}`);
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}
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return this.processGeminiResponse(data);
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}
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/**
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* 构建分析提示词
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* @param {string} content - 需要分析的内容
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* @param {string} task - 分析任务类型
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* @param {number} length - 输出长度
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* @returns {string} - 格式化的提示词
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* @private
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*/
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constructPrompt(content, task, length) {
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const taskPrompts = {
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summarize: `Please provide a ${length} sentence summary of the following content:`,
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analyze: `Please provide a ${length} point analysis of the following content:`,
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qa: 'Please answer questions based on the following content:',
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extract: 'Please extract key information from the following content:',
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};
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const prompt = taskPrompts[task] || taskPrompts.summarize;
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return `${prompt}\n\nContent: ${content}`;
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}
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/**
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* 处理 Gemini API 响应
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* @param {Object} data - API 响应数据
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* @returns {Object} - 处理后的结果对象
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* @private
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*/
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processGeminiResponse(data) {
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if (!data?.candidates?.[0]?.content?.parts?.[0]?.text) {
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throw new Error('无效的 API 响应');
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}
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const analysis = data.candidates[0].content.parts[0].text;
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// 提取参考信息（如果有）
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const references = data.candidates?.[0]?.groundingMetadata?.groundingChunks
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?.filter(chunk => chunk.web)
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?.map(chunk => ({
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title: chunk.web.title,
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url: chunk.web.uri
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}))
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?.filter((v, i, a) =>
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a.findIndex(t => (t.title === v.title && t.url === v.url)) === i
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) || [];
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return {
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analysis,
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references,
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metadata: {
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timestamp: new Date().toISOString(),
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model: 'gemini-2.0-flash-exp'
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}
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};
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}
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}
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188
utils/tools/CustomSearchTool.js
Normal file
188
utils/tools/CustomSearchTool.js
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@ -0,0 +1,188 @@
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import { AbstractTool } from './AbstractTool.js';
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import fetch from 'node-fetch';
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import { Config } from '../config.js';
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/**
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* 自定义搜索工具类 - 使用 Gemini API
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* @class CustomSearchTool
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* @extends {AbstractTool}
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*/
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export class CustomSearchTool extends AbstractTool {
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name = 'CustomSearchTool';
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parameters = {
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properties: {
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query: {
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type: 'string',
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description: '要搜索的内容或关键词',
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},
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length: {
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type: 'integer',
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description: '期望的摘要长度（句子数），默认为3',
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},
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imageBase64: {
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type: 'string',
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description: '可选的图片base64数据',
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}
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},
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required: ['query'],
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};
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description = '使用 Gemini API 进行智能搜索，根据输入的内容或关键词提供全面的搜索结果和摘要。支持自定义摘要长度和图片识别。';
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/**
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* 工具执行函数
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* @param {Object} opt - 工具参数
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* @param {string} opt.query - 搜索内容或关键词
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* @param {number} [opt.length=3] - 摘要长度
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* @param {string|string[]} [opt.imageBase64] - 图片base64数据
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* @returns {Promise<Object>} - 包含答案和来源的对象
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*/
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func = async function (opt) {
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const { query, length = 3, imageBase64 } = opt;
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if (!query?.trim()) {
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throw new Error('搜索内容或关键词不能为空');
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}
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try {
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const result = await this.searchWithGemini(query, length, imageBase64);
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console.debug(`[CustomSearchTool] 搜索结果:`, result);
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return result;
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} catch (error) {
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console.error('[CustomSearchTool] 搜索失败:', error);
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throw new Error(`搜索失败: ${error.message}`);
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}
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};
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/**
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* 使用 Gemini API 进行搜索
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* @param {string} query - 搜索内容或关键词
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* @param {number} length - 摘要长度
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* @param {string|string[]} [imageBase64] - 图片base64数据
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* @returns {Promise<Object>} - 包含答案和来源的对象
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* @private
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*/
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async searchWithGemini(query, length, imageBase64) {
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const apiKey = Config.geminiKey;
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const apiBaseUrl = Config.geminiBaseUrl;
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const apiUrl = `${apiBaseUrl}/v1beta/models/gemini-2.0-flash-exp:generateContent?key=${apiKey}`;
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if (!apiKey || !apiBaseUrl) {
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throw new Error('Gemini API 配置缺失');
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}
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const requestBody = {
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"systemInstruction": {
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"parts": [{
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"text": "你是一个有用的助手，你更喜欢说中文。你会根据用户的问题，通过搜索引擎获取最新的信息来回答问题。你的回答会尽可能准确、客观。"
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}]
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},
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"contents": [{
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"parts": [{
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"text": this.constructPrompt(query, length)
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}],
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"role": "user"
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}],
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"tools": [{
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"googleSearch": {}
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}]
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};
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// 处理图片数据
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if (imageBase64) {
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const imageArray = Array.isArray(imageBase64) ? imageBase64 : [imageBase64];
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imageArray.forEach(image => {
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requestBody.contents[0].parts.push({
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"inline_data": {
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"mime_type": "image/jpeg",
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"data": image
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}
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});
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});
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}
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try {
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const response = await fetch(apiUrl, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify(requestBody)
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});
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const data = await response.json();
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if (!response.ok) {
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throw new Error(`API 请求失败: ${data.error?.message || '未知错误'}`);
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}
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return this.processGeminiResponse(data);
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} catch (error) {
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console.error('[CustomSearchTool] API调用失败:', error);
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throw error;
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}
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}
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/**
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* 构建提示词
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* @param {string} query - 搜索内容或关键词
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* @param {number} length - 摘要长度
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* @returns {string} - 格式化的提示词
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* @private
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*/
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constructPrompt(query, length) {
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return `请对以下内容进行搜索并提供${length}句话的详细总结。
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需要搜索的内容: ${query}
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请确保回答准确、客观，并包含相关事实和信息。`;
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}
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/**
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* 处理 Gemini API 响应
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* @param {Object} data - API 响应数据
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* @returns {Object} - 处理后的结果对象
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* @private
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*/
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processGeminiResponse(data) {
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if (!data?.candidates?.[0]?.content?.parts) {
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throw new Error('无效的 API 响应');
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}
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// 合并所有文本部分作为答案
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const answer = data.candidates[0].content.parts
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.map(part => part.text)
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.filter(Boolean)
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.join('\n');
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// 处理来源信息
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let sources = [];
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if (data.candidates?.[0]?.groundingMetadata?.groundingChunks) {
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sources = data.candidates[0].groundingMetadata.groundingChunks
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.filter(chunk => chunk.web)
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.map(chunk => {
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let url = chunk.web.uri;
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// 替换特定的URL前缀
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if (url.includes('https://vertexaisearch.cloud.google.com/grounding-api-redirect')) {
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url = url.replace(
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'https://vertexaisearch.cloud.google.com/grounding-api-redirect',
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'https://miao.news'
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);
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}
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return {
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title: chunk.web.title || '未知标题',
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url: url
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};
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})
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.filter((v, i, a) =>
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a.findIndex(t => (t.title === v.title && t.url === v.url)) === i
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);
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}
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console.debug('[CustomSearchTool] 处理后的来源信息:', sources);
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return {
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answer,
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sources
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};
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}
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}
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