mirror of
https://github.com/hellodigua/ChatLab.git
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digua
516 lines
16 KiB
TypeScript
516 lines
16 KiB
TypeScript
// electron/main/ipc/ai.ts
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import { ipcMain, BrowserWindow } from 'electron'
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import * as aiConversations from '../ai/conversations'
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import * as llm from '../ai/llm'
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import { aiLogger } from '../ai/logger'
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import { Agent, type AgentStreamChunk, type PromptConfig } from '../ai/agent'
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import type { ToolContext } from '../ai/tools/types'
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import type { IpcContext } from './types'
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// ==================== AI Agent 请求追踪 ====================
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// 用于跟踪活跃的 Agent 请求，支持中止操作
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const activeAgentRequests = new Map<string, AbortController>()
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export function registerAIHandlers({ win }: IpcContext): void {
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console.log('[IPC] Registering AI handlers...')
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// ==================== AI 对话管理 ====================
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/**
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* 创建新的 AI 对话
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*/
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ipcMain.handle(
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'ai:createConversation',
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async (
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_,
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title: string,
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sessionId?: string,
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dataSource?: { type: 'chat' | 'member'; id: string; name?: string }
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) => {
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try {
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return aiConversations.createConversation(title, sessionId, dataSource)
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} catch (error) {
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console.error('创建 AI 对话失败：', error)
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throw error
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}
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}
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)
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/**
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* 获取所有 AI 对话列表
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*/
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ipcMain.handle('ai:getConversations', async (_, sessionId?: string) => {
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try {
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return aiConversations.getConversations(sessionId)
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} catch (error) {
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console.error('获取 AI 对话列表失败：', error)
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return []
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}
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})
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/**
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* 获取单个对话详情
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*/
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ipcMain.handle('ai:getConversation', async (_, conversationId: string) => {
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try {
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return aiConversations.getConversation(conversationId)
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} catch (error) {
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console.error('获取 AI 对话详情失败：', error)
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return null
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}
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})
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/**
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* 更新 AI 对话标题
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*/
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ipcMain.handle('ai:updateConversationTitle', async (_, conversationId: string, title: string) => {
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try {
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return aiConversations.updateConversationTitle(conversationId, title)
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} catch (error) {
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console.error('更新 AI 对话标题失败：', error)
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return false
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}
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})
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/**
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* 删除 AI 对话
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*/
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ipcMain.handle('ai:deleteConversation', async (_, conversationId: string) => {
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try {
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return aiConversations.deleteConversation(conversationId)
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} catch (error) {
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console.error('删除 AI 对话失败：', error)
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return false
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}
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})
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/**
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* 添加 AI 消息
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*/
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ipcMain.handle(
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'ai:addMessage',
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async (
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_,
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conversationId: string,
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role: 'user' | 'assistant',
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content: string,
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dataKeywords?: string[],
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dataMessageCount?: number,
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contentBlocks?: aiConversations.ContentBlock[]
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) => {
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try {
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return aiConversations.addMessage(conversationId, role, content, dataKeywords, dataMessageCount, contentBlocks)
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} catch (error) {
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console.error('添加 AI 消息失败：', error)
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throw error
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}
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}
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)
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/**
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* 获取 AI 对话的所有消息
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*/
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ipcMain.handle('ai:getMessages', async (_, conversationId: string) => {
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try {
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return aiConversations.getMessages(conversationId)
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} catch (error) {
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console.error('获取 AI 消息失败：', error)
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return []
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}
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})
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/**
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* 删除 AI 消息
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*/
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ipcMain.handle('ai:deleteMessage', async (_, messageId: string) => {
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try {
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return aiConversations.deleteMessage(messageId)
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} catch (error) {
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console.error('删除 AI 消息失败：', error)
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return false
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}
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})
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// ==================== LLM 服务（多配置管理）====================
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/**
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* 获取所有支持的 LLM 提供商
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*/
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ipcMain.handle('llm:getProviders', async () => {
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return llm.PROVIDERS
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})
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/**
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* 获取所有配置列表
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*/
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ipcMain.handle('llm:getAllConfigs', async () => {
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const configs = llm.getAllConfigs()
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// 脱敏 API Key
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return configs.map((c) => ({
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...c,
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apiKey: c.apiKey ? `${c.apiKey.slice(0, 4)}****${c.apiKey.slice(-4)}` : '',
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apiKeySet: !!c.apiKey,
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}))
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})
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/**
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* 获取当前激活的配置 ID
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*/
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ipcMain.handle('llm:getActiveConfigId', async () => {
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const config = llm.getActiveConfig()
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return config?.id || null
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})
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/**
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* 添加新配置
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*/
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ipcMain.handle(
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'llm:addConfig',
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async (
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_,
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config: {
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name: string
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provider: llm.LLMProvider
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apiKey: string
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model?: string
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baseUrl?: string
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maxTokens?: number
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}
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) => {
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try {
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const result = llm.addConfig(config)
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if (result.success && result.config) {
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return {
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success: true,
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config: {
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...result.config,
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apiKey: result.config.apiKey
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? `${result.config.apiKey.slice(0, 4)}****${result.config.apiKey.slice(-4)}`
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: '',
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apiKeySet: !!result.config.apiKey,
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},
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}
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}
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return result
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} catch (error) {
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console.error('添加 LLM 配置失败：', error)
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return { success: false, error: String(error) }
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}
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}
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)
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/**
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* 更新配置
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*/
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ipcMain.handle(
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'llm:updateConfig',
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async (
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_,
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id: string,
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updates: {
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name?: string
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provider?: llm.LLMProvider
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apiKey?: string
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model?: string
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baseUrl?: string
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maxTokens?: number
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}
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) => {
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try {
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// 如果 apiKey 为空字符串，表示不更新 API Key
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const cleanUpdates = { ...updates }
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if (cleanUpdates.apiKey === '') {
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delete cleanUpdates.apiKey
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}
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return llm.updateConfig(id, cleanUpdates)
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} catch (error) {
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console.error('更新 LLM 配置失败：', error)
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return { success: false, error: String(error) }
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}
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}
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)
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/**
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* 删除配置
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*/
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ipcMain.handle('llm:deleteConfig', async (_, id?: string) => {
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try {
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// 如果没有传 id，删除当前激活的配置
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if (!id) {
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const activeConfig = llm.getActiveConfig()
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if (activeConfig) {
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return llm.deleteConfig(activeConfig.id)
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}
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return { success: false, error: '没有激活的配置' }
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}
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return llm.deleteConfig(id)
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} catch (error) {
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console.error('删除 LLM 配置失败：', error)
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return { success: false, error: String(error) }
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}
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})
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/**
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* 设置激活的配置
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*/
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ipcMain.handle('llm:setActiveConfig', async (_, id: string) => {
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try {
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return llm.setActiveConfig(id)
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} catch (error) {
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console.error('设置激活配置失败：', error)
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return { success: false, error: String(error) }
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}
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})
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/**
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* 验证 API Key（支持自定义 baseUrl 和 model）
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* 返回对象格式：{ success: boolean, error?: string }
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*/
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ipcMain.handle(
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'llm:validateApiKey',
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async (_, provider: llm.LLMProvider, apiKey: string, baseUrl?: string, model?: string) => {
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console.log('[LLM:validateApiKey] 开始验证:', { provider, baseUrl, model, apiKeyLength: apiKey?.length })
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try {
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const service = llm.createLLMService({ provider, apiKey, baseUrl, model })
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const result = await service.validateApiKey()
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console.log('[LLM:validateApiKey] 验证结果:', result)
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return { success: result.success, error: result.error }
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} catch (error) {
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console.error('[LLM:validateApiKey] 验证失败：', error)
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// 提取有意义的错误信息
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const errorMessage = error instanceof Error ? error.message : String(error)
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return { success: false, error: errorMessage }
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}
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}
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)
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/**
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* 检查是否已配置 LLM（是否有激活的配置）
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*/
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ipcMain.handle('llm:hasConfig', async () => {
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return llm.hasActiveConfig()
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})
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/**
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* 发送 LLM 聊天请求（非流式）
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*/
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ipcMain.handle('llm:chat', async (_, messages: llm.ChatMessage[], options?: llm.ChatOptions) => {
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aiLogger.info('IPC', '收到非流式 LLM 请求', {
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messagesCount: messages.length,
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firstMsgRole: messages[0]?.role,
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firstMsgContentLen: messages[0]?.content?.length,
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options,
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})
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try {
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const response = await llm.chat(messages, options)
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aiLogger.info('IPC', '非流式 LLM 请求成功', { responseLength: response.length })
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return { success: true, content: response }
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} catch (error) {
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aiLogger.error('IPC', '非流式 LLM 请求失败', { error: String(error) })
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console.error('LLM 聊天失败：', error)
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return { success: false, error: String(error) }
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}
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})
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/**
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* 发送 LLM 聊天请求（流式）
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* 使用 IPC 事件发送流式数据
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*/
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ipcMain.handle(
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'llm:chatStream',
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async (_, requestId: string, messages: llm.ChatMessage[], options?: llm.ChatOptions) => {
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aiLogger.info('IPC', `收到流式聊天请求: ${requestId}`, {
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messagesCount: messages.length,
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options,
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})
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try {
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const generator = llm.chatStream(messages, options)
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aiLogger.info('IPC', `创建流式生成器: ${requestId}`)
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// 异步处理流式响应
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;(async () => {
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let chunkIndex = 0
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try {
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aiLogger.info('IPC', `开始迭代流式响应: ${requestId}`)
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for await (const chunk of generator) {
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chunkIndex++
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aiLogger.debug('IPC', `发送 chunk #${chunkIndex}: ${requestId}`, {
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contentLength: chunk.content?.length,
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isFinished: chunk.isFinished,
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finishReason: chunk.finishReason,
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})
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win.webContents.send('llm:streamChunk', { requestId, chunk })
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}
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aiLogger.info('IPC', `流式响应完成: ${requestId}`, { totalChunks: chunkIndex })
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} catch (error) {
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aiLogger.error('IPC', `流式响应出错: ${requestId}`, {
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error: String(error),
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chunkIndex,
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})
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win.webContents.send('llm:streamChunk', {
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requestId,
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chunk: { content: '', isFinished: true, finishReason: 'error' },
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error: String(error),
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})
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}
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})()
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return { success: true }
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} catch (error) {
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aiLogger.error('IPC', `创建流式请求失败: ${requestId}`, { error: String(error) })
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console.error('LLM 流式聊天失败：', error)
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return { success: false, error: String(error) }
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}
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}
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)
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// ==================== AI Agent API ====================
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/**
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* 执行 Agent 对话（流式）
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* Agent 会自动调用工具并返回最终结果
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* @param historyMessages 对话历史（可选，用于上下文关联）
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* @param chatType 聊天类型（'group' | 'private'）
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* @param promptConfig 用户自定义提示词配置（可选）
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* @param locale 语言设置（可选，默认 'zh-CN'）
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*/
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ipcMain.handle(
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'agent:runStream',
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async (
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_,
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requestId: string,
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userMessage: string,
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context: ToolContext,
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historyMessages?: Array<{ role: 'user' | 'assistant'; content: string }>,
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chatType?: 'group' | 'private',
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promptConfig?: PromptConfig,
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locale?: string
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) => {
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aiLogger.info('IPC', `收到 Agent 流式请求: ${requestId}`, {
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userMessage: userMessage.slice(0, 100),
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sessionId: context.sessionId,
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historyLength: historyMessages?.length ?? 0,
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chatType: chatType ?? 'group',
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hasPromptConfig: !!promptConfig,
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})
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try {
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// 创建 AbortController 并存储
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const abortController = new AbortController()
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activeAgentRequests.set(requestId, abortController)
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// 转换历史消息格式
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const formattedHistory =
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historyMessages?.map((msg) => ({
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role: msg.role as 'user' | 'assistant',
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content: msg.content,
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})) ?? []
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const agent = new Agent(
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context,
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{ abortSignal: abortController.signal },
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formattedHistory,
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chatType ?? 'group',
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promptConfig,
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locale ?? 'zh-CN'
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)
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// 异步执行，通过事件发送流式数据
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;(async () => {
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try {
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const result = await agent.executeStream(userMessage, (chunk: AgentStreamChunk) => {
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// 如果已中止，不再发送
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if (abortController.signal.aborted) {
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return
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}
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// 减少日志噪音：只在工具调用时记录
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if (chunk.type === 'tool_start' || chunk.type === 'tool_result') {
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aiLogger.debug('IPC', `Agent chunk: ${requestId}`, {
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type: chunk.type,
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toolName: chunk.toolName,
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})
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}
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win.webContents.send('agent:streamChunk', { requestId, chunk })
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})
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// 如果已中止，不发送完成信息
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if (abortController.signal.aborted) {
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aiLogger.info('IPC', `Agent 已中止，跳过完成信息: ${requestId}`)
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return
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}
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// 发送完成信息
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win.webContents.send('agent:complete', {
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requestId,
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result: {
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content: result.content,
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toolsUsed: result.toolsUsed,
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toolRounds: result.toolRounds,
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totalUsage: result.totalUsage,
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},
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})
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aiLogger.info('IPC', `Agent 执行完成: ${requestId}`, {
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toolsUsed: result.toolsUsed,
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toolRounds: result.toolRounds,
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contentLength: result.content.length,
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totalUsage: result.totalUsage,
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})
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} catch (error) {
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// 如果是中止错误，不报告为错误
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if (error instanceof Error && error.name === 'AbortError') {
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aiLogger.info('IPC', `Agent 请求已中止: ${requestId}`)
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return
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}
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aiLogger.error('IPC', `Agent 执行出错: ${requestId}`, { error: String(error) })
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// 发送错误 chunk
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win.webContents.send('agent:streamChunk', {
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requestId,
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chunk: { type: 'error', error: String(error), isFinished: true },
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})
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// 发送完成事件（带错误信息），确保前端 promise 能 resolve
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win.webContents.send('agent:complete', {
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requestId,
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result: {
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content: '',
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toolsUsed: [],
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toolRounds: 0,
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totalUsage: { promptTokens: 0, completionTokens: 0, totalTokens: 0 },
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error: String(error),
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},
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})
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} finally {
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// 清理请求追踪
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activeAgentRequests.delete(requestId)
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}
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})()
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return { success: true }
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} catch (error) {
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aiLogger.error('IPC', `创建 Agent 请求失败: ${requestId}`, { error: String(error) })
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return { success: false, error: String(error) }
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}
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}
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)
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/**
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* 中止 Agent 请求
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*/
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ipcMain.handle('agent:abort', async (_, requestId: string) => {
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aiLogger.info('IPC', `收到中止请求: ${requestId}`)
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const abortController = activeAgentRequests.get(requestId)
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if (abortController) {
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abortController.abort()
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activeAgentRequests.delete(requestId)
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aiLogger.info('IPC', `已中止 Agent 请求: ${requestId}`)
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return { success: true }
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} else {
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aiLogger.warn('IPC', `未找到 Agent 请求: ${requestId}`)
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return { success: false, error: '未找到该请求' }
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}
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})
|
||
}
|