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feat(ai): migrate AI CRUD routes to shared package and establish frontend service layer
Extract LLM config, assistant, skill, conversation and summary CRUD
routes from CLI-specific ai.ts into @openchatlab/http-routes, enabling
Electron Internal Server to serve AI endpoints via shared routes.
Frontend service layer:
- Create src/services/{llm,assistant,skill}/ with typed adapters
- Migrate all window.llmApi/assistantApi/skillApi calls to service layer
- Clean up Electron preload: remove CRUD bridges, keep only streaming IPC
Shared AI routes (packages/http-routes):
- ai-llm: config CRUD, provider registry, model catalog, custom store
- ai-assistants: CRUD, import/reimport, tool catalog
- ai-skills: CRUD, import/reimport, builtin catalog
- ai-conversations: conversation/message/debug CRUD
- ai-summaries: summary generation with LLM config injection
- Add requireAi fail-fast option to registerSharedRoutes
Backend improvements:
- Extract CustomProviderStore/CustomModelStore to node-runtime
- Fix authProfile persistence (onApiKeyCreated returns profileName)
- Reuse AI manager singletons in Electron (avoid dual instances)
- Prevent plaintext API key leakage in addConfig response
- Add authProfile regression tests
Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -54,15 +54,6 @@ export interface AIMessage {
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tokenUsage?: TokenUsageData
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}
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// LLM API 类型
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export interface LLMProvider {
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id: string
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name: string
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description: string
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defaultBaseUrl: string
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models: Array<{ id: string; name: string; description?: string }>
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}
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export interface ChatMessage {
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role: 'system' | 'user' | 'assistant'
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content: string
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@@ -175,22 +166,6 @@ export interface ToolContext {
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preprocessConfig?: PreprocessConfig
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}
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// AI 服务配置类型（前端用）
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export interface AIServiceConfigDisplay {
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id: string
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name: string
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provider: string
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apiKey: string // 脱敏后的 API Key
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apiKeySet: boolean
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model?: string
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baseUrl?: string
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maxTokens?: number
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apiFormat?: string
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customModels?: Array<{ id: string; name: string }>
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createdAt: number
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updatedAt: number
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}
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// ==================== AI API ====================
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export const aiApi = {
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@@ -530,162 +505,12 @@ export const aiApi = {
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// ==================== LLM API ====================
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export const llmApi = {
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// ==================== Provider Registry / Model Catalog ====================
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getProviderRegistry: () => {
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return ipcRenderer.invoke('llm:getProviderRegistry')
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},
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getModelCatalog: () => {
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return ipcRenderer.invoke('llm:getModelCatalog')
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},
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addCustomProvider: (input: Record<string, unknown>) => {
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return ipcRenderer.invoke('llm:addCustomProvider', input)
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},
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updateCustomProvider: (id: string, updates: Record<string, unknown>) => {
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return ipcRenderer.invoke('llm:updateCustomProvider', id, updates)
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},
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deleteCustomProvider: (id: string) => {
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return ipcRenderer.invoke('llm:deleteCustomProvider', id)
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},
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addCustomModel: (input: Record<string, unknown>) => {
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return ipcRenderer.invoke('llm:addCustomModel', input)
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},
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updateCustomModel: (providerId: string, modelId: string, updates: Record<string, unknown>) => {
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return ipcRenderer.invoke('llm:updateCustomModel', providerId, modelId, updates)
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},
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deleteCustomModel: (providerId: string, modelId: string) => {
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return ipcRenderer.invoke('llm:deleteCustomModel', providerId, modelId)
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},
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/** @deprecated 使用 getProviderRegistry 代替 */
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getProviders: (): Promise<LLMProvider[]> => {
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return ipcRenderer.invoke('llm:getProviders')
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},
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// ==================== 多配置管理 API ====================
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/**
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* 获取所有配置列表
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* LLM CRUD (config, provider, model, validate, etc.) has been migrated to
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* HTTP service layer via FetchLLMAdapter. Only streaming / non-streaming
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* chat APIs remain on IPC because they require real-time event forwarding.
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*/
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getAllConfigs: (): Promise<AIServiceConfigDisplay[]> => {
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return ipcRenderer.invoke('llm:getAllConfigs')
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},
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/**
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* 获取默认助手 slot（configId + modelId）
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*/
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getDefaultAssistantSlot: (): Promise<{ configId: string; modelId: string } | null> => {
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return ipcRenderer.invoke('llm:getDefaultAssistantSlot')
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},
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/**
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* 获取快速模型 slot
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*/
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getFastModelSlot: (): Promise<{ configId: string; modelId: string } | null> => {
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return ipcRenderer.invoke('llm:getFastModelSlot')
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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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addConfig: (config: {
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name: string
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provider: string
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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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apiFormat?: string
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customModels?: Array<{ id: string; name: string }>
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}): Promise<{ success: boolean; config?: AIServiceConfigDisplay; error?: string }> => {
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return ipcRenderer.invoke('llm:addConfig', config)
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},
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/**
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* 更新配置
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*/
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updateConfig: (
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id: string,
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updates: {
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name?: string
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provider?: string
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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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apiFormat?: string
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customModels?: Array<{ id: string; name: string }>
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}
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): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('llm:updateConfig', id, updates)
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},
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/**
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* 删除配置
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*/
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deleteConfig: (id?: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('llm:deleteConfig', id)
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},
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/**
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* 设置默认助手模型（configId + modelId）
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*/
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setDefaultAssistantModel: (configId: string, modelId: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('llm:setDefaultAssistantModel', configId, modelId)
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},
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/**
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* 设置快速模型
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*/
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setFastModel: (slot: { configId: string; modelId: string } | null): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('llm:setFastModel', slot)
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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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*/
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validateApiKey: (
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provider: string,
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apiKey: string,
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baseUrl?: string,
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model?: string
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): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('llm:validateApiKey', provider, apiKey, baseUrl, model)
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},
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/**
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* 获取远程模型列表
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*/
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fetchRemoteModels: (
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provider: string,
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apiKey: string,
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baseUrl?: string,
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apiFormat?: string
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): Promise<{
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success: boolean
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models?: Array<{ id: string; name: string; ownedBy?: string; contextWindow?: number }>
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error?: string
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}> => {
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return ipcRenderer.invoke('llm:fetchRemoteModels', provider, apiKey, baseUrl, apiFormat)
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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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hasConfig: (): Promise<boolean> => {
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return ipcRenderer.invoke('llm:hasConfig')
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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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chat: (
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messages: ChatMessage[],
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options?: ChatOptions
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@@ -693,10 +518,6 @@ export const llmApi = {
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return ipcRenderer.invoke('llm:chat', messages, options)
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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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* 返回一个 Promise，该 Promise 在流完成后才 resolve
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*/
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chatStream: (
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messages: ChatMessage[],
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options?: ChatOptions,
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@@ -755,149 +576,15 @@ export const llmApi = {
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},
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}
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// ==================== Assistant API ====================
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/**
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* Assistant CRUD has been migrated to HTTP service layer via FetchAssistantAdapter.
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* The preload bridge is no longer needed.
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*/
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export interface AssistantSummary {
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id: string
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name: string
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systemPrompt: string
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presetQuestions: string[]
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builtinId?: string
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applicableChatTypes?: ('group' | 'private')[]
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supportedLocales?: string[]
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}
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export interface AssistantConfigFull {
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id: string
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name: string
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systemPrompt: string
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presetQuestions: string[]
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allowedBuiltinTools?: string[]
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builtinId?: string
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applicableChatTypes?: ('group' | 'private')[]
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supportedLocales?: string[]
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}
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export interface BuiltinAssistantInfo {
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id: string
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name: string
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systemPrompt: string
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applicableChatTypes?: ('group' | 'private')[]
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supportedLocales?: string[]
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imported: boolean
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}
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export const assistantApi = {
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getAll: (): Promise<AssistantSummary[]> => {
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return ipcRenderer.invoke('assistant:getAll')
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},
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getConfig: (id: string): Promise<AssistantConfigFull | null> => {
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return ipcRenderer.invoke('assistant:getConfig', id)
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},
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update: (id: string, updates: Partial<AssistantConfigFull>): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('assistant:update', id, updates)
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},
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create: (config: Omit<AssistantConfigFull, 'id'>): Promise<{ success: boolean; id?: string; error?: string }> => {
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return ipcRenderer.invoke('assistant:create', config)
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},
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delete: (id: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('assistant:delete', id)
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},
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reset: (id: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('assistant:reset', id)
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},
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getBuiltinCatalog: (): Promise<BuiltinAssistantInfo[]> => {
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return ipcRenderer.invoke('assistant:getBuiltinCatalog')
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},
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getBuiltinToolCatalog: (): Promise<Array<{ name: string; category: 'core' | 'analysis' }>> => {
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return ipcRenderer.invoke('assistant:getBuiltinToolCatalog')
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},
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importAssistant: (builtinId: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('assistant:import', builtinId)
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},
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reimportAssistant: (id: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('assistant:reimport', id)
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},
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importFromMd: (rawMd: string): Promise<{ success: boolean; id?: string; error?: string }> => {
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return ipcRenderer.invoke('assistant:importFromMd', rawMd)
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},
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}
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// ==================== Skill API ====================
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export interface SkillSummary {
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id: string
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name: string
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description: string
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tags: string[]
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chatScope: 'all' | 'group' | 'private'
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tools: string[]
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builtinId?: string
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}
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export interface SkillConfigFull {
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id: string
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name: string
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description: string
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tags: string[]
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chatScope: 'all' | 'group' | 'private'
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prompt: string
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tools: string[]
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builtinId?: string
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}
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export interface BuiltinSkillInfo extends SkillSummary {
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imported: boolean
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hasUpdate: boolean
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}
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export const skillApi = {
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getAll: (): Promise<SkillSummary[]> => {
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return ipcRenderer.invoke('skill:getAll')
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},
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getConfig: (id: string): Promise<SkillConfigFull | null> => {
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return ipcRenderer.invoke('skill:getConfig', id)
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},
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update: (id: string, rawMd: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('skill:update', id, rawMd)
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},
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create: (rawMd: string): Promise<{ success: boolean; id?: string; error?: string }> => {
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return ipcRenderer.invoke('skill:create', rawMd)
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},
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delete: (id: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('skill:delete', id)
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},
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getBuiltinCatalog: (): Promise<BuiltinSkillInfo[]> => {
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return ipcRenderer.invoke('skill:getBuiltinCatalog')
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},
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importSkill: (builtinId: string): Promise<{ success: boolean; id?: string; error?: string }> => {
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return ipcRenderer.invoke('skill:import', builtinId)
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},
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reimportSkill: (id: string): Promise<{ success: boolean; error?: string }> => {
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return ipcRenderer.invoke('skill:reimport', id)
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},
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importFromMd: (rawMd: string): Promise<{ success: boolean; id?: string; error?: string }> => {
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return ipcRenderer.invoke('skill:importFromMd', rawMd)
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},
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}
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/**
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* Skill CRUD has been migrated to HTTP service layer via FetchSkillAdapter.
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* The preload bridge is no longer needed.
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*/
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// ==================== Agent API ====================
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