feat(dependencies): update ai-sdk packages and improve logging

- Upgraded `@ai-sdk/gateway` to version 1.0.8 and `@ai-sdk/provider-utils` to version 3.0.4 in yarn.lock for enhanced functionality.
- Updated `ai` dependency in package.json to version ^5.0.16 for better compatibility.
- Added logging functionality in `AiSdkToChunkAdapter` to track chunk types and improve debugging.
- Refactored plugin imports to streamline code and enhance readability.
- Removed unnecessary console logs in `searchOrchestrationPlugin` to clean up the codebase.

packages/aiCore/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@cherrystudio/ai-core",
-  "version": "1.0.0-alpha.7",
+  "version": "1.0.0-alpha.8",
   "description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
   "main": "dist/index.js",
   "module": "dist/index.mjs",
@@ -42,7 +42,7 @@
     "@ai-sdk/provider": "2.0.0",
     "@ai-sdk/provider-utils": "3.0.0",
     "@ai-sdk/xai": "2.0.0",
-    "ai": "5.0.0",
+    "ai": "^5.0.16",
     "zod": "^3.25.0"
   },
   "devDependencies": {

src/renderer/src/aiCore/chunk/AiSdkToChunkAdapter.ts

@@ -4,11 +4,14 @@
  */
 
 import { TextStreamPart, ToolSet } from '@cherrystudio/ai-core'
+import { loggerService } from '@logger'
 import { BaseTool, WebSearchResults, WebSearchSource } from '@renderer/types'
 import { Chunk, ChunkType } from '@renderer/types/chunk'
 
 import { ToolCallChunkHandler } from './handleToolCallChunk'
 
+const logger = loggerService.withContext('AiSdkToChunkAdapter')
+
 export interface CherryStudioChunk {
   type: 'text-delta' | 'text-complete' | 'tool-call' | 'tool-result' | 'finish' | 'error'
   text?: string
@@ -83,6 +86,7 @@ export class AiSdkToChunkAdapter {
     chunk: TextStreamPart<any>,
     final: { text: string; reasoningContent: string; webSearchResults: any[]; reasoningId: string }
   ) {
+    logger.info(`AI SDK chunk type: ${chunk.type}`, chunk)
     switch (chunk.type) {
       // === 文本相关事件 ===
       case 'text-start':
@@ -105,12 +109,12 @@ export class AiSdkToChunkAdapter {
         final.text = ''
         break
       case 'reasoning-start':
-        if (final.reasoningId !== chunk.id) {
+        // if (final.reasoningId !== chunk.id) {
-          final.reasoningId = chunk.id
+        final.reasoningId = chunk.id
-          this.onChunk({
+        this.onChunk({
-            type: ChunkType.THINKING_START
+          type: ChunkType.THINKING_START
-          })
+        })
-        }
+        // }
         break
       case 'reasoning-delta':
         final.reasoningContent += chunk.text || ''
@@ -171,7 +175,7 @@ export class AiSdkToChunkAdapter {
       //   break
 
       case 'finish-step': {
-        const { providerMetadata } = chunk
+        const { providerMetadata, finishReason } = chunk
         // googel web search
         if (providerMetadata?.google?.groundingMetadata) {
           this.onChunk({
@@ -182,6 +186,9 @@ export class AiSdkToChunkAdapter {
             }
           })
         }
+        if (finishReason === 'tool-calls') {
+          this.onChunk({ type: ChunkType.LLM_RESPONSE_CREATED })
+        }
         // else {
         //   this.onChunk({
         //     type: ChunkType.LLM_WEB_SEARCH_COMPLETE,

src/renderer/src/aiCore/plugins/PluginBuilder.ts

@@ -1,6 +1,6 @@
 import { AiPlugin } from '@cherrystudio/ai-core'
 import { createPromptToolUsePlugin, webSearchPlugin } from '@cherrystudio/ai-core/built-in/plugins'
-import store from '@renderer/store'
+import { getEnableDeveloperMode } from '@renderer/hooks/useSettings'
 import { Assistant } from '@renderer/types'
 
 import { AiSdkMiddlewareConfig } from '../middleware/AiSdkMiddlewareBuilder'
@@ -16,7 +16,7 @@ export function buildPlugins(
 ): AiPlugin[] {
   const plugins: AiPlugin[] = []
 
-  if (middlewareConfig.topicId && store.getState().settings.enableDeveloperMode) {
+  if (middlewareConfig.topicId && getEnableDeveloperMode()) {
     // 0. 添加 telemetry 插件
     plugins.push(
       createTelemetryPlugin({

src/renderer/src/aiCore/plugins/searchOrchestrationPlugin.ts

@@ -247,8 +247,6 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
   const userMessages: { [requestId: string]: ModelMessage } = {}
   let currentContext: AiRequestContext | null = null
 
-  console.log('searchOrchestrationPlugin', assistant)
-
   return definePlugin({
     name: 'search-orchestration',
     enforce: 'pre', // 确保在其他插件之前执行
@@ -264,15 +262,14 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
      * 🔍 Step 1: 意图识别阶段
      */
     onRequestStart: async (context: AiRequestContext) => {
-      console.log('onRequestStart', context)
       if (context.isAnalyzing) return
-      // console.log('🧠 [SearchOrchestration] Starting intent analysis...', context.requestId)
+
+      // 没开启任何搜索则不进行意图分析
+      if (!(assistant.webSearchProviderId || assistant.knowledge_bases?.length || assistant.enableMemory)) return
 
       try {
         const messages = context.originalParams.messages
-        // console.log('🧠 [SearchOrchestration]', context.isAnalyzing)
         if (!messages || messages.length === 0) {
-          console.log('🧠 [SearchOrchestration] No messages found, skipping analysis')
           return
         }
 
@@ -283,10 +280,8 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
         userMessages[context.requestId] = lastUserMessage
 
         // 判断是否需要各种搜索
-        const knowledgeBaseIds = assistant.knowledge_bases?.map((base) => base.id)
+        const knowledgeBaseIds = assistant.knowledge_bases.map((base) => base.id)
-        // console.log('knowledgeBaseIds', knowledgeBaseIds)
         const hasKnowledgeBase = !isEmpty(knowledgeBaseIds)
-        // console.log('hasKnowledgeBase', hasKnowledgeBase)
         const knowledgeRecognition = assistant.knowledgeRecognition || 'on'
         const globalMemoryEnabled = selectGlobalMemoryEnabled(store.getState())
 
@@ -294,11 +289,6 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
         const shouldKnowledgeSearch = hasKnowledgeBase && knowledgeRecognition === 'on'
         const shouldMemorySearch = globalMemoryEnabled && assistant.enableMemory
 
-        // console.log('🧠 [SearchOrchestration] Search capabilities:', {
-        //   shouldWebSearch,
-        //   hasKnowledgeBase,
-        //   shouldMemorySearch
-        // })
         // 执行意图分析
         if (shouldWebSearch || hasKnowledgeBase) {
           const analysisResult = await analyzeSearchIntent(lastUserMessage, assistant, {

src/renderer/src/pages/home/Messages/Tools/MessageTool.tsx

@@ -84,6 +84,7 @@ const ChooseTool = (toolResponse: MCPToolResponse): { label: React.ReactNode; bo
 export default function MessageTool({ block }: Props) {
   // FIXME: 语义错误，这里已经不是 MCP tool 了
   const toolResponse = block.metadata?.rawMcpToolResponse
+
   if (!toolResponse) return null
 
   const toolRenderer = ChooseTool(toolResponse)

src/renderer/src/services/ApiService.ts

@@ -9,6 +9,7 @@ import { AiSdkMiddlewareConfig } from '@renderer/aiCore/middleware/AiSdkMiddlewa
 import { buildStreamTextParams } from '@renderer/aiCore/transformParameters'
 import { isDedicatedImageGenerationModel, isEmbeddingModel } from '@renderer/config/models'
 import { getStoreSetting } from '@renderer/hooks/useSettings'
+import { getEnableDeveloperMode } from '@renderer/hooks/useSettings'
 import i18n from '@renderer/i18n'
 import store from '@renderer/store'
 import { Assistant, MCPServer, MCPTool, Model, Provider } from '@renderer/types'
@@ -156,30 +157,9 @@ export async function fetchChatCompletion({
   // }
   // --- Call AI Completions ---
   onChunkReceived({ type: ChunkType.LLM_RESPONSE_CREATED })
-
+  const enableDeveloperMode = getEnableDeveloperMode()
   // 在 AI SDK 调用时设置正确的 OpenTelemetry 上下文
-  if (topicId) {
+  if (topicId && enableDeveloperMode) {
-    logger.info('Attempting to set OpenTelemetry context', { topicId })
-    const { currentSpan } = await import('@renderer/services/SpanManagerService')
-
-    const parentSpan = currentSpan(topicId, modelId)
-    logger.info('Parent span lookup result', {
-      topicId,
-      hasParentSpan: !!parentSpan,
-      parentSpanId: parentSpan?.spanContext().spanId,
-      parentTraceId: parentSpan?.spanContext().traceId
-    })
-
-    if (parentSpan) {
-      logger.info('Found parent span, using completionsForTrace for proper span hierarchy', {
-        topicId,
-        parentSpanId: parentSpan.spanContext().spanId,
-        parentTraceId: parentSpan.spanContext().traceId
-      })
-    } else {
-      logger.warn('No parent span found for topicId, using completionsForTrace anyway', { topicId })
-    }
-
     // 使用带trace支持的completions方法，它会自动创建子span并关联到父span
     await AI.completionsForTrace(modelId, aiSdkParams, {
       ...middlewareConfig,
@@ -188,14 +168,8 @@ export async function fetchChatCompletion({
       callType: 'chat'
     })
   } else {
-    logger.warn('No topicId provided, using regular completions')
-    // 没有topicId时，禁用telemetry以避免警告
-    const configWithoutTelemetry = {
-      ...middlewareConfig,
-      topicId: undefined // 确保telemetryPlugin不会尝试查找span
-    }
     await AI.completions(modelId, aiSdkParams, {
-      ...configWithoutTelemetry,
+      ...middlewareConfig,
       assistant,
       callType: 'chat'
     })

src/renderer/src/services/messageStreaming/callbacks/toolCallbacks.ts

@@ -23,6 +23,8 @@ export const createToolCallbacks = (deps: ToolCallbacksDependencies) => {
 
   return {
     onToolCallPending: (toolResponse: MCPToolResponse) => {
+      console.log('onToolCallPending', toolResponse)
+
       if (blockManager.hasInitialPlaceholder) {
         const changes = {
           type: MessageBlockType.TOOL,

yarn.lock

@@ -140,15 +140,15 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@ai-sdk/gateway@npm:1.0.0":
+"@ai-sdk/gateway@npm:1.0.8":
-  version: 1.0.0
+  version: 1.0.8
-  resolution: "@ai-sdk/gateway@npm:1.0.0"
+  resolution: "@ai-sdk/gateway@npm:1.0.8"
   dependencies:
     "@ai-sdk/provider": "npm:2.0.0"
-    "@ai-sdk/provider-utils": "npm:3.0.0"
+    "@ai-sdk/provider-utils": "npm:3.0.4"
   peerDependencies:
     zod: ^3.25.76 || ^4
-  checksum: 10c0/ab1238cb364dd40f2793953183717f9e2c657e9c7dbcc3e18e8aa4273253fb3cb8441b018d6fc38d0aed28a5fff633deb3216ac97cf8ef64d1442a53af03da53
+  checksum: 10c0/7464ca5280a15ddab2a2addf8b0223bcf85519cff0d1d1893beb4ee723abebdd7eae02079429c738a16c872c8574ab8d509b349e913c0fb99d8173740d0e851a
   languageName: node
   linkType: hard
 
@@ -255,6 +255,20 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@ai-sdk/provider-utils@npm:3.0.4":
+  version: 3.0.4
+  resolution: "@ai-sdk/provider-utils@npm:3.0.4"
+  dependencies:
+    "@ai-sdk/provider": "npm:2.0.0"
+    "@standard-schema/spec": "npm:^1.0.0"
+    eventsource-parser: "npm:^3.0.3"
+    zod-to-json-schema: "npm:^3.24.1"
+  peerDependencies:
+    zod: ^3.25.76 || ^4
+  checksum: 10c0/6732b99310561d72262cdeef40cc58190afa55248dca0eb3a378ef87fede12086e534c68687e0fe5ef5b092da41f3e745857ce3f9b248a272a78c0dc268dffd4
+  languageName: node
+  linkType: hard
+
 "@ai-sdk/provider@npm:2.0.0":
   version: 2.0.0
   resolution: "@ai-sdk/provider@npm:2.0.0"
@@ -2202,7 +2216,7 @@ __metadata:
     "@ai-sdk/provider": "npm:2.0.0"
     "@ai-sdk/provider-utils": "npm:3.0.0"
     "@ai-sdk/xai": "npm:2.0.0"
-    ai: "npm:5.0.0"
+    ai: "npm:^5.0.16"
     tsdown: "npm:^0.12.9"
     typescript: "npm:^5.0.0"
     vitest: "npm:^3.2.4"
@@ -9150,17 +9164,17 @@ __metadata:
   languageName: node
   linkType: hard
 
-"ai@npm:5.0.0":
+"ai@npm:^5.0.16":
-  version: 5.0.0
+  version: 5.0.16
-  resolution: "ai@npm:5.0.0"
+  resolution: "ai@npm:5.0.16"
   dependencies:
-    "@ai-sdk/gateway": "npm:1.0.0"
+    "@ai-sdk/gateway": "npm:1.0.8"
     "@ai-sdk/provider": "npm:2.0.0"
-    "@ai-sdk/provider-utils": "npm:3.0.0"
+    "@ai-sdk/provider-utils": "npm:3.0.4"
     "@opentelemetry/api": "npm:1.9.0"
   peerDependencies:
     zod: ^3.25.76 || ^4
-  checksum: 10c0/ec414871e2f9804f65e21b0f1ddd2d5eb9ece56a014c493528b4f6a7983347d5112d6a990d6e9847b021ad3423116fc56511bb7631710e461b6c60d5a6a6d4e5
+  checksum: 10c0/3d26ff0af6ad56cfc7d382c0ef9664572dc661da04f2df37fbb09f3346c7b10cf3643d0c2d95e338b34f183dfbe225e9b364326e73918cf50edd050b1a6ec2e7
   languageName: node
   linkType: hard