cb2f9ea76f
- 在 chatService 中添加模型选择详细日志 - 在 modelServiceManager 中添加请求/响应确认日志 - 创建模型选择验证指南文档 - 帮助用户确认所选模型是否被正确使用 新增日志: - 🎯 用户选择的模型 - ✅ 找到匹配服务 - 🔍 最终选择确认 - 📋 请求体 model 字段 - �� 最终发送确认 - ✅ API 响应模型确认 用户现在可以在控制台清晰看到: - 选择了哪个模型 - 找到了哪个服务 - 实际发送了什么模型参数 - API 返回了什么模型 - 请求模型和响应模型是否一致
944 lines
27 KiB
TypeScript
944 lines
27 KiB
TypeScript
import type {
|
||
Topic,
|
||
Message,
|
||
Conversation,
|
||
SendMessageOptions,
|
||
StreamEvent,
|
||
TopicFilter
|
||
} from '../types/chat'
|
||
import { modelServiceManager } from './modelServiceManager'
|
||
import { MCPClientService } from './MCPClientService'
|
||
|
||
class ChatService {
|
||
private static instance: ChatService
|
||
private topics: Map<string, Topic> = new Map()
|
||
private conversations: Map<string, Conversation> = new Map()
|
||
private mcpClient: MCPClientService = new MCPClientService()
|
||
|
||
static getInstance(): ChatService {
|
||
if (!ChatService.instance) {
|
||
ChatService.instance = new ChatService()
|
||
}
|
||
return ChatService.instance
|
||
}
|
||
|
||
// ==================== 话题管理 ====================
|
||
|
||
/**
|
||
* 创建新话题
|
||
*/
|
||
createTopic(name: string, options?: {
|
||
description?: string
|
||
modelId?: string
|
||
}): Topic {
|
||
const topic: Topic = {
|
||
id: this.generateId(),
|
||
name: name || '新对话',
|
||
description: options?.description,
|
||
createdAt: new Date(),
|
||
updatedAt: new Date(),
|
||
messageCount: 0,
|
||
pinned: false,
|
||
archived: false,
|
||
favorite: false,
|
||
model: options?.modelId
|
||
}
|
||
|
||
this.topics.set(topic.id, topic)
|
||
this.saveTopics()
|
||
|
||
// 创建对应的对话
|
||
const conversation: Conversation = {
|
||
id: this.generateId(),
|
||
topicId: topic.id,
|
||
messages: [],
|
||
createdAt: new Date(),
|
||
updatedAt: new Date(),
|
||
metadata: {
|
||
model: options?.modelId
|
||
}
|
||
}
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
|
||
return topic
|
||
}
|
||
|
||
/**
|
||
* 获取所有话题
|
||
*/
|
||
getTopics(filter?: TopicFilter): Topic[] {
|
||
let topics = Array.from(this.topics.values())
|
||
|
||
if (filter) {
|
||
if (filter.search) {
|
||
const search = filter.search.toLowerCase()
|
||
topics = topics.filter(t =>
|
||
t.name.toLowerCase().includes(search) ||
|
||
t.description?.toLowerCase().includes(search) ||
|
||
t.lastMessage?.toLowerCase().includes(search)
|
||
)
|
||
}
|
||
|
||
if (filter.pinned !== undefined) {
|
||
topics = topics.filter(t => t.pinned === filter.pinned)
|
||
}
|
||
|
||
if (filter.archived !== undefined) {
|
||
topics = topics.filter(t => t.archived === filter.archived)
|
||
}
|
||
|
||
if (filter.favorite !== undefined) {
|
||
topics = topics.filter(t => t.favorite === filter.favorite)
|
||
}
|
||
}
|
||
|
||
// 排序：置顶 > 更新时间
|
||
return topics.sort((a, b) => {
|
||
if (a.pinned !== b.pinned) return a.pinned ? -1 : 1
|
||
return b.updatedAt.getTime() - a.updatedAt.getTime()
|
||
})
|
||
}
|
||
|
||
/**
|
||
* 获取单个话题
|
||
*/
|
||
getTopic(topicId: string): Topic | undefined {
|
||
return this.topics.get(topicId)
|
||
}
|
||
|
||
/**
|
||
* 更新话题
|
||
*/
|
||
updateTopic(topicId: string, updates: Partial<Topic>): Topic | undefined {
|
||
const topic = this.topics.get(topicId)
|
||
if (!topic) return undefined
|
||
|
||
Object.assign(topic, updates, {
|
||
updatedAt: new Date()
|
||
})
|
||
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
|
||
return topic
|
||
}
|
||
|
||
/**
|
||
* 删除话题
|
||
*/
|
||
deleteTopic(topicId: string): boolean {
|
||
const deleted = this.topics.delete(topicId)
|
||
if (deleted) {
|
||
// 删除关联的对话
|
||
for (const [convId, conv] of this.conversations) {
|
||
if (conv.topicId === topicId) {
|
||
this.conversations.delete(convId)
|
||
}
|
||
}
|
||
this.saveTopics()
|
||
this.saveConversations()
|
||
}
|
||
return deleted
|
||
}
|
||
|
||
/**
|
||
* 切换话题置顶状态
|
||
*/
|
||
toggleTopicPin(topicId: string): boolean {
|
||
const topic = this.topics.get(topicId)
|
||
if (!topic) return false
|
||
|
||
topic.pinned = !topic.pinned
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
|
||
return topic.pinned
|
||
}
|
||
|
||
/**
|
||
* 切换话题收藏状态
|
||
*/
|
||
toggleTopicFavorite(topicId: string): boolean {
|
||
const topic = this.topics.get(topicId)
|
||
if (!topic) return false
|
||
|
||
topic.favorite = !topic.favorite
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
|
||
return topic.favorite
|
||
}
|
||
|
||
/**
|
||
* 归档话题
|
||
*/
|
||
archiveTopic(topicId: string): boolean {
|
||
const topic = this.topics.get(topicId)
|
||
if (!topic) return false
|
||
|
||
topic.archived = true
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
|
||
return true
|
||
}
|
||
|
||
// ==================== 消息管理 ====================
|
||
|
||
/**
|
||
* 获取话题的所有消息
|
||
*/
|
||
getMessages(topicId: string): Message[] {
|
||
for (const conv of this.conversations.values()) {
|
||
if (conv.topicId === topicId) {
|
||
return conv.messages
|
||
}
|
||
}
|
||
return []
|
||
}
|
||
|
||
/**
|
||
* 发送消息
|
||
*/
|
||
async sendMessage(options: SendMessageOptions): Promise<Message> {
|
||
const { topicId, content, role = 'user', model } = options
|
||
|
||
// 查找对话
|
||
let conversation: Conversation | undefined
|
||
for (const conv of this.conversations.values()) {
|
||
if (conv.topicId === topicId) {
|
||
conversation = conv
|
||
break
|
||
}
|
||
}
|
||
|
||
if (!conversation) {
|
||
throw new Error('对话不存在')
|
||
}
|
||
|
||
// 创建用户消息
|
||
const userMessage: Message = {
|
||
id: this.generateId(),
|
||
role,
|
||
content,
|
||
status: 'success',
|
||
timestamp: new Date()
|
||
}
|
||
|
||
conversation.messages.push(userMessage)
|
||
conversation.updatedAt = new Date()
|
||
|
||
// 更新话题
|
||
const topic = this.topics.get(topicId)
|
||
if (topic) {
|
||
topic.messageCount = conversation.messages.length
|
||
topic.lastMessage = this.getMessagePreview(content)
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
}
|
||
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
|
||
// 如果不是用户消息，直接返回
|
||
if (role !== 'user') {
|
||
return userMessage
|
||
}
|
||
|
||
// 创建助手消息占位符
|
||
const assistantMessage: Message = {
|
||
id: this.generateId(),
|
||
role: 'assistant',
|
||
content: '',
|
||
status: 'sending',
|
||
timestamp: new Date(),
|
||
model: model || conversation.metadata?.model
|
||
}
|
||
|
||
conversation.messages.push(assistantMessage)
|
||
this.conversations.set(conversation.id, conversation)
|
||
|
||
try {
|
||
// 调用 AI 模型
|
||
const response = await this.callModel(conversation, model)
|
||
|
||
// 更新助手消息
|
||
assistantMessage.content = response.content
|
||
assistantMessage.status = 'success'
|
||
assistantMessage.tokens = response.tokens
|
||
|
||
conversation.updatedAt = new Date()
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
|
||
// 更新话题
|
||
if (topic) {
|
||
topic.messageCount = conversation.messages.length
|
||
topic.lastMessage = this.getMessagePreview(response.content)
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
}
|
||
|
||
return assistantMessage
|
||
} catch (error) {
|
||
assistantMessage.status = 'error'
|
||
assistantMessage.error = error instanceof Error ? error.message : '发送失败'
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
throw error
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 流式发送消息
|
||
*/
|
||
async sendMessageStream(
|
||
options: SendMessageOptions,
|
||
onChunk: (event: StreamEvent) => void,
|
||
mcpServerId?: string // 新增：可选的 MCP 服务器 ID
|
||
): Promise<void> {
|
||
const { topicId, content, role = 'user', model } = options
|
||
|
||
// 查找对话
|
||
let conversation: Conversation | undefined
|
||
for (const conv of this.conversations.values()) {
|
||
if (conv.topicId === topicId) {
|
||
conversation = conv
|
||
break
|
||
}
|
||
}
|
||
|
||
if (!conversation) {
|
||
throw new Error('对话不存在')
|
||
}
|
||
|
||
// 创建用户消息
|
||
const userMessage: Message = {
|
||
id: this.generateId(),
|
||
role,
|
||
content,
|
||
status: 'success',
|
||
timestamp: new Date()
|
||
}
|
||
|
||
conversation.messages.push(userMessage)
|
||
conversation.updatedAt = new Date()
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
|
||
// 更新话题（用户消息）
|
||
const topic = this.topics.get(topicId)
|
||
if (topic) {
|
||
topic.messageCount = conversation.messages.length
|
||
topic.lastMessage = this.getMessagePreview(content)
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
}
|
||
|
||
// 创建助手消息
|
||
const assistantMessage: Message = {
|
||
id: this.generateId(),
|
||
role: 'assistant',
|
||
content: '',
|
||
status: 'sending',
|
||
timestamp: new Date(),
|
||
model: model || conversation.metadata?.model
|
||
}
|
||
|
||
conversation.messages.push(assistantMessage)
|
||
conversation.updatedAt = new Date()
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
|
||
// 再次更新话题计数
|
||
if (topic) {
|
||
topic.messageCount = conversation.messages.length
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
}
|
||
|
||
onChunk({ type: 'start', messageId: assistantMessage.id })
|
||
|
||
try {
|
||
// 调用流式 API
|
||
await this.callModelStream(
|
||
conversation,
|
||
model,
|
||
(chunk) => {
|
||
assistantMessage.content += chunk
|
||
conversation.updatedAt = new Date()
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
onChunk({ type: 'delta', content: chunk, messageId: assistantMessage.id })
|
||
},
|
||
mcpServerId // 传递 MCP 服务器 ID
|
||
)
|
||
|
||
assistantMessage.status = 'success'
|
||
conversation.updatedAt = new Date()
|
||
this.conversations.set(conversation.id, conversation)
|
||
this.saveConversations()
|
||
onChunk({ type: 'end', messageId: assistantMessage.id })
|
||
|
||
// 更新话题（完成）
|
||
if (topic) {
|
||
topic.messageCount = conversation.messages.length
|
||
topic.lastMessage = this.getMessagePreview(assistantMessage.content)
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
}
|
||
} catch (error) {
|
||
assistantMessage.status = 'error'
|
||
assistantMessage.error = error instanceof Error ? error.message : '发送失败'
|
||
this.saveConversations()
|
||
onChunk({
|
||
type: 'error',
|
||
error: assistantMessage.error,
|
||
messageId: assistantMessage.id
|
||
})
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 删除消息
|
||
*/
|
||
deleteMessage(topicId: string, messageId: string): boolean {
|
||
for (const conv of this.conversations.values()) {
|
||
if (conv.topicId === topicId) {
|
||
const index = conv.messages.findIndex(m => m.id === messageId)
|
||
if (index !== -1) {
|
||
conv.messages.splice(index, 1)
|
||
conv.updatedAt = new Date()
|
||
this.conversations.set(conv.id, conv)
|
||
this.saveConversations()
|
||
|
||
// 更新话题
|
||
const topic = this.topics.get(topicId)
|
||
if (topic) {
|
||
topic.messageCount = conv.messages.length
|
||
if (conv.messages.length > 0) {
|
||
const lastMsg = conv.messages[conv.messages.length - 1]
|
||
topic.lastMessage = this.getMessagePreview(lastMsg.content)
|
||
} else {
|
||
topic.lastMessage = undefined
|
||
}
|
||
topic.updatedAt = new Date()
|
||
this.topics.set(topicId, topic)
|
||
this.saveTopics()
|
||
}
|
||
|
||
return true
|
||
}
|
||
}
|
||
}
|
||
return false
|
||
}
|
||
|
||
/**
|
||
* 重新生成消息
|
||
*/
|
||
async regenerateMessage(topicId: string, messageId: string): Promise<Message> {
|
||
// 找到要重新生成的消息
|
||
let conversation: Conversation | undefined
|
||
let messageIndex = -1
|
||
|
||
for (const conv of this.conversations.values()) {
|
||
if (conv.topicId === topicId) {
|
||
conversation = conv
|
||
messageIndex = conv.messages.findIndex(m => m.id === messageId)
|
||
if (messageIndex !== -1) break
|
||
}
|
||
}
|
||
|
||
if (!conversation || messageIndex === -1) {
|
||
throw new Error('消息不存在')
|
||
}
|
||
|
||
// 删除该消息之后的所有消息
|
||
conversation.messages.splice(messageIndex)
|
||
|
||
// 获取最后一条用户消息
|
||
let lastUserMessage: Message | undefined
|
||
for (let i = conversation.messages.length - 1; i >= 0; i--) {
|
||
if (conversation.messages[i].role === 'user') {
|
||
lastUserMessage = conversation.messages[i]
|
||
break
|
||
}
|
||
}
|
||
|
||
if (!lastUserMessage) {
|
||
throw new Error('没有找到用户消息')
|
||
}
|
||
|
||
// 重新发送
|
||
return await this.sendMessage({
|
||
topicId,
|
||
content: lastUserMessage.content,
|
||
model: conversation.metadata?.model
|
||
})
|
||
}
|
||
|
||
// ==================== 私有方法 ====================
|
||
|
||
/**
|
||
* 调用模型
|
||
*/
|
||
private async callModel(
|
||
conversation: Conversation,
|
||
model?: string
|
||
): Promise<{ content: string; tokens?: any }> {
|
||
const callModelStartTime = performance.now()
|
||
console.log('⏱️ [callModel] 开始处理', { model, 对话消息数: conversation.messages.length })
|
||
|
||
// 准备消息历史
|
||
const beforePrepare = performance.now()
|
||
const messages = conversation.messages
|
||
.filter(m => m.status === 'success')
|
||
.map(m => ({
|
||
role: m.role,
|
||
content: m.content
|
||
}))
|
||
|
||
const afterPrepare = performance.now()
|
||
console.log('⏱️ [callModel] 准备消息耗时:', (afterPrepare - beforePrepare).toFixed(2), 'ms', '处理后消息数:', messages.length)
|
||
|
||
// 获取已连接的服务 - 从 modelServiceManager 获取
|
||
const allServices = modelServiceManager.getAllServices()
|
||
console.log('🔍 [callModel] 所有服务:', allServices.map(s => ({
|
||
name: s.name,
|
||
status: s.status,
|
||
models: s.models?.length || 0
|
||
})))
|
||
|
||
const services = allServices.filter(s => s.status === 'connected')
|
||
console.log('🔍 [callModel] 已连接的服务:', services.length, '个')
|
||
|
||
if (services.length === 0) {
|
||
console.error('❌ [callModel] 没有已连接的服务!')
|
||
console.error('📋 [callModel] 请检查:')
|
||
console.error(' 1. 是否在"模型服务"中添加了服务?')
|
||
console.error(' 2. 服务是否已启用(enabled=true)?')
|
||
console.error(' 3. 服务是否有可用的模型列表?')
|
||
console.error(' 4. localStorage中的数据:', localStorage.getItem('model-providers'))
|
||
throw new Error('没有可用的模型服务，请先在"模型服务"中添加并连接服务')
|
||
}
|
||
|
||
let service = services[0] // 默认使用第一个可用服务
|
||
let selectedModel = model || service.models?.[0] || 'default'
|
||
|
||
// 如果指定了模型,尝试找到拥有该模型的服务
|
||
if (model) {
|
||
const foundService = services.find(s =>
|
||
s.models && s.models.includes(model)
|
||
)
|
||
if (foundService) {
|
||
service = foundService
|
||
selectedModel = model
|
||
} else {
|
||
console.warn(`⚠️ 未找到包含模型 "${model}" 的服务,使用默认服务`)
|
||
}
|
||
}
|
||
|
||
console.log('🔍 [callModel] 使用服务:', service.name, '模型:', selectedModel)
|
||
|
||
// 调用服务
|
||
const beforeServiceCall = performance.now()
|
||
const result = await modelServiceManager.sendChatRequest(
|
||
service.id,
|
||
messages,
|
||
selectedModel
|
||
)
|
||
const afterServiceCall = performance.now()
|
||
console.log('⏱️ [callModel] 服务调用耗时:', (afterServiceCall - beforeServiceCall).toFixed(2), 'ms')
|
||
|
||
if (!result.success) {
|
||
throw new Error(result.error || '请求失败')
|
||
}
|
||
|
||
// 解析响应
|
||
const beforeParse = performance.now()
|
||
const parsedContent = this.parseModelResponse(result.data)
|
||
const afterParse = performance.now()
|
||
console.log('⏱️ [callModel] 解析响应耗时:', (afterParse - beforeParse).toFixed(2), 'ms')
|
||
console.log('⏱️ [callModel] callModel总耗时:', (afterParse - callModelStartTime).toFixed(2), 'ms')
|
||
|
||
return {
|
||
content: parsedContent,
|
||
tokens: result.data?.usage
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 流式调用模型
|
||
*/
|
||
private async callModelStream(
|
||
conversation: Conversation,
|
||
model: string | undefined,
|
||
onChunk: (chunk: string) => void,
|
||
mcpServerId?: string // 可选的 MCP 服务器 ID
|
||
): Promise<void> {
|
||
const streamStartTime = performance.now()
|
||
console.log('⏱️ [callModelStream] 开始真流式处理')
|
||
|
||
// 获取 MCP 工具列表(如果选择了 MCP 服务器)
|
||
let tools: any[] = []
|
||
if (mcpServerId) {
|
||
console.log('🔧 [callModelStream] 获取 MCP 服务器工具:', mcpServerId)
|
||
const mcpTools = this.mcpClient.getTools(mcpServerId)
|
||
tools = this.convertToolsToOpenAIFormat(mcpTools)
|
||
console.log('🔧 [callModelStream] 转换后的工具:', tools.length, '个')
|
||
}
|
||
|
||
// 准备消息历史
|
||
const messages = conversation.messages
|
||
.filter(m => m.status === 'success')
|
||
.map(m => ({
|
||
role: m.role,
|
||
content: m.content
|
||
}))
|
||
|
||
// 获取已连接的服务
|
||
const allServices = modelServiceManager.getAllServices()
|
||
const services = allServices.filter(s => s.status === 'connected')
|
||
|
||
if (services.length === 0) {
|
||
throw new Error('没有可用的模型服务，请先在"模型服务"中添加并连接服务')
|
||
}
|
||
|
||
let service = services[0]
|
||
let selectedModel = model || service.models?.[0] || 'default'
|
||
|
||
// 如果指定了模型,尝试找到拥有该模型的服务
|
||
if (model) {
|
||
console.log('🎯 [callModelStream] 用户选择的模型:', model)
|
||
const foundService = services.find(s =>
|
||
s.models && s.models.includes(model)
|
||
)
|
||
if (foundService) {
|
||
service = foundService
|
||
selectedModel = model
|
||
console.log('✅ [callModelStream] 找到匹配服务:', foundService.name)
|
||
} else {
|
||
console.warn('⚠️ [callModelStream] 未找到包含该模型的服务，使用默认服务')
|
||
}
|
||
} else {
|
||
console.log('ℹ️ [callModelStream] 未指定模型，使用默认模型')
|
||
}
|
||
|
||
console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━')
|
||
console.log('🔍 [callModelStream] 最终选择:')
|
||
console.log(' 服务:', service.name, `(${service.type})`)
|
||
console.log(' 模型:', selectedModel)
|
||
console.log(' MCP:', mcpServerId || '未选择')
|
||
console.log(' 工具:', tools.length, '个')
|
||
console.log('━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━')
|
||
console.log('🚀 [callModelStream] === 开始真正的流式请求 ===')
|
||
|
||
// 调用真正的流式API
|
||
const beforeStreamCall = performance.now()
|
||
let chunkCount = 0
|
||
let buffer = '' // 缓冲区,用于批量输出
|
||
const BATCH_SIZE = 3 // 每3个字符输出一次,增强流式效果
|
||
|
||
const result = await modelServiceManager.sendChatRequestStream(
|
||
service.id,
|
||
messages,
|
||
selectedModel,
|
||
(chunk) => {
|
||
// 实时输出,但批量处理增强视觉效果
|
||
chunkCount++
|
||
if (chunkCount === 1) {
|
||
const firstChunkTime = performance.now()
|
||
console.log('⚡ [callModelStream] 首字延迟:', (firstChunkTime - beforeStreamCall).toFixed(2), 'ms')
|
||
}
|
||
|
||
// 累积到缓冲区
|
||
buffer += chunk
|
||
|
||
// 当缓冲区达到批量大小时输出
|
||
if (buffer.length >= BATCH_SIZE) {
|
||
const output = buffer
|
||
buffer = ''
|
||
onChunk(output)
|
||
}
|
||
},
|
||
tools.length > 0 ? tools : undefined
|
||
)
|
||
|
||
// 输出剩余的缓冲区内容
|
||
if (buffer.length > 0) {
|
||
onChunk(buffer)
|
||
}
|
||
|
||
const afterStreamCall = performance.now()
|
||
console.log('🚀 [callModelStream] 流式请求完成,收到块数:', chunkCount)
|
||
console.log('⏱️ [callModelStream] 流式调用总耗时:', (afterStreamCall - beforeStreamCall).toFixed(2), 'ms')
|
||
|
||
if (!result.success) {
|
||
throw new Error(result.error || '流式请求失败')
|
||
}
|
||
|
||
// 处理工具调用
|
||
if (result.data?.toolCalls && result.data.toolCalls.length > 0 && mcpServerId) {
|
||
console.log('🔧 [callModelStream] 开始执行工具调用')
|
||
await this.executeToolCalls(conversation, result.data.toolCalls, mcpServerId, model, onChunk)
|
||
}
|
||
|
||
const endTime = performance.now()
|
||
console.log('⏱️ [callModelStream] 真流式总耗时:', (endTime - streamStartTime).toFixed(2), 'ms')
|
||
} /**
|
||
* 解析模型响应
|
||
*/
|
||
private parseModelResponse(data: any, _serviceType?: string): string {
|
||
if (!data) return ''
|
||
|
||
// OpenAI 格式
|
||
if (data.choices && data.choices[0]?.message?.content) {
|
||
return data.choices[0].message.content
|
||
}
|
||
|
||
// Claude 格式
|
||
if (data.content && Array.isArray(data.content)) {
|
||
return data.content
|
||
.filter((c: any) => c.type === 'text')
|
||
.map((c: any) => c.text)
|
||
.join('')
|
||
}
|
||
|
||
// Gemini 格式
|
||
if (data.candidates && data.candidates[0]?.content?.parts) {
|
||
return data.candidates[0].content.parts
|
||
.map((p: any) => p.text)
|
||
.join('')
|
||
}
|
||
|
||
// 通用格式
|
||
if (typeof data === 'string') return data
|
||
if (data.content) return data.content
|
||
if (data.text) return data.text
|
||
if (data.message) return data.message
|
||
|
||
return JSON.stringify(data)
|
||
}
|
||
|
||
/**
|
||
* 获取消息预览
|
||
*/
|
||
private getMessagePreview(content: string, maxLength = 50): string {
|
||
if (!content) return ''
|
||
const text = content.replace(/\n/g, ' ').trim()
|
||
return text.length > maxLength ? text.slice(0, maxLength) + '...' : text
|
||
}
|
||
|
||
/**
|
||
* 生成唯一 ID
|
||
*/
|
||
private generateId(): string {
|
||
return `${Date.now()}_${Math.random().toString(36).substr(2, 9)}`
|
||
}
|
||
|
||
// ==================== 持久化 ====================
|
||
|
||
private saveTopics(): void {
|
||
try {
|
||
const data = Array.from(this.topics.values())
|
||
localStorage.setItem('chat-topics', JSON.stringify(data))
|
||
} catch (error) {
|
||
console.error('保存话题失败:', error)
|
||
}
|
||
}
|
||
|
||
private loadTopics(): void {
|
||
try {
|
||
const data = localStorage.getItem('chat-topics')
|
||
if (data) {
|
||
const topics = JSON.parse(data) as Topic[]
|
||
topics.forEach(topic => {
|
||
// 恢复 Date 对象
|
||
topic.createdAt = new Date(topic.createdAt)
|
||
topic.updatedAt = new Date(topic.updatedAt)
|
||
this.topics.set(topic.id, topic)
|
||
})
|
||
}
|
||
} catch (error) {
|
||
console.error('加载话题失败:', error)
|
||
}
|
||
}
|
||
|
||
private saveConversations(): void {
|
||
try {
|
||
const data = Array.from(this.conversations.values())
|
||
localStorage.setItem('chat-conversations', JSON.stringify(data))
|
||
} catch (error) {
|
||
console.error('保存对话失败:', error)
|
||
}
|
||
}
|
||
|
||
private loadConversations(): void {
|
||
try {
|
||
const data = localStorage.getItem('chat-conversations')
|
||
if (data) {
|
||
const conversations = JSON.parse(data) as Conversation[]
|
||
conversations.forEach(conv => {
|
||
// 恢复 Date 对象
|
||
conv.createdAt = new Date(conv.createdAt)
|
||
conv.updatedAt = new Date(conv.updatedAt)
|
||
conv.messages.forEach(msg => {
|
||
msg.timestamp = new Date(msg.timestamp)
|
||
})
|
||
this.conversations.set(conv.id, conv)
|
||
})
|
||
}
|
||
} catch (error) {
|
||
console.error('加载对话失败:', error)
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 初始化
|
||
*/
|
||
initialize(): void {
|
||
this.loadTopics()
|
||
this.loadConversations()
|
||
|
||
// 如果没有话题，创建默认话题
|
||
if (this.topics.size === 0) {
|
||
this.createTopic('欢迎使用', {
|
||
description: '开始你的第一次对话'
|
||
})
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 将 MCP 工具转换为 OpenAI 函数调用格式
|
||
*/
|
||
private convertToolsToOpenAIFormat(mcpTools: any[]): any[] {
|
||
return mcpTools.map(tool => ({
|
||
type: 'function',
|
||
function: {
|
||
name: tool.name,
|
||
description: tool.description || '',
|
||
parameters: tool.inputSchema || {
|
||
type: 'object',
|
||
properties: {},
|
||
required: []
|
||
}
|
||
}
|
||
}))
|
||
}
|
||
|
||
/**
|
||
* 执行工具调用并将结果返回给 AI
|
||
*/
|
||
private async executeToolCalls(
|
||
conversation: Conversation,
|
||
toolCalls: any[],
|
||
mcpServerId: string,
|
||
model: string | undefined,
|
||
onChunk: (chunk: string) => void
|
||
): Promise<void> {
|
||
console.log('🔧 [executeToolCalls] 执行', toolCalls.length, '个工具调用')
|
||
|
||
// 添加工具调用信息到消息中
|
||
const toolCallMessage = {
|
||
role: 'assistant' as const,
|
||
content: '',
|
||
tool_calls: toolCalls
|
||
}
|
||
|
||
// 执行每个工具调用
|
||
const toolResults = []
|
||
for (const toolCall of toolCalls) {
|
||
try {
|
||
const functionName = toolCall.function.name
|
||
const functionArgs = JSON.parse(toolCall.function.arguments)
|
||
|
||
console.log(`🔧 [executeToolCalls] 调用工具: ${functionName}`, functionArgs)
|
||
onChunk(`\n\n🔧 正在调用工具: ${functionName}...\n`)
|
||
|
||
const result = await this.mcpClient.callTool(mcpServerId, functionName, functionArgs)
|
||
|
||
console.log(`✅ [executeToolCalls] 工具调用成功: ${functionName}`, result)
|
||
onChunk(`✅ 工具执行完成\n`)
|
||
|
||
toolResults.push({
|
||
tool_call_id: toolCall.id,
|
||
role: 'tool',
|
||
name: functionName,
|
||
content: JSON.stringify(result)
|
||
})
|
||
} catch (error) {
|
||
console.error(`❌ [executeToolCalls] 工具调用失败:`, error)
|
||
const errorMsg = error instanceof Error ? error.message : '未知错误'
|
||
onChunk(`❌ 工具执行失败: ${errorMsg}\n`)
|
||
|
||
toolResults.push({
|
||
tool_call_id: toolCall.id,
|
||
role: 'tool',
|
||
name: toolCall.function.name,
|
||
content: JSON.stringify({ error: errorMsg })
|
||
})
|
||
}
|
||
}
|
||
|
||
// 将工具调用和结果添加到消息历史
|
||
const messages = conversation.messages
|
||
.filter(m => m.status === 'success')
|
||
.map(m => ({
|
||
role: m.role,
|
||
content: m.content
|
||
}))
|
||
|
||
messages.push(toolCallMessage as any)
|
||
messages.push(...(toolResults as any[]))
|
||
|
||
// 获取已连接的服务
|
||
const allServices = modelServiceManager.getAllServices()
|
||
const services = allServices.filter(s => s.status === 'connected')
|
||
if (services.length === 0) {
|
||
throw new Error('没有可用的模型服务')
|
||
}
|
||
|
||
let service = services[0]
|
||
let selectedModel = model || service.models?.[0] || 'default'
|
||
|
||
if (model) {
|
||
const foundService = services.find(s =>
|
||
s.models && s.models.includes(model)
|
||
)
|
||
if (foundService) {
|
||
service = foundService
|
||
selectedModel = model
|
||
}
|
||
}
|
||
|
||
// 向 AI 发送工具结果,获取最终回复
|
||
console.log('🤖 [executeToolCalls] 将工具结果发送给 AI')
|
||
onChunk('\n\n🤖 正在生成回复...\n')
|
||
|
||
await modelServiceManager.sendChatRequestStream(
|
||
service.id,
|
||
messages,
|
||
selectedModel,
|
||
onChunk
|
||
)
|
||
}
|
||
|
||
/**
|
||
* 获取所有服务（供外部使用）
|
||
*/
|
||
getAllServices() {
|
||
return modelServiceManager.getAllServices()
|
||
}
|
||
}
|
||
|
||
export const chatService = ChatService.getInstance()
|