feat: 上下文压缩行为优化

electron/main/ai/agent/index.ts

@@ -3,7 +3,7 @@
  * 编排 PiAgentCore 的对话流程（工具调用、流式输出、中止控制）
  */
 
-import { getActiveConfig, buildPiModel } from '../llm'
+import { getDefaultAssistantConfig, buildPiModel } from '../llm'
 import { getAllTools, createActivateSkillTool } from '../tools'
 import type { ToolContext } from '../tools/types'
 import { getHistoryForAgent } from '../conversations'
@@ -355,7 +355,7 @@ export async function runAgent(
   assistantConfig?: AssistantConfig,
   skillCtx?: SkillContext
 ): Promise<AgentResult> {
-  const activeConfig = getActiveConfig()
+  const activeConfig = getDefaultAssistantConfig()
   if (!activeConfig) throw new Error('LLM service not configured')
   const piModel = buildPiModel(activeConfig)
   const agent = new Agent(context, piModel, activeConfig.apiKey, config, chatType, locale, assistantConfig, skillCtx)
@@ -375,7 +375,7 @@ export async function runAgentStream(
   assistantConfig?: AssistantConfig,
   skillCtx?: SkillContext
 ): Promise<AgentResult> {
-  const activeConfig = getActiveConfig()
+  const activeConfig = getDefaultAssistantConfig()
   if (!activeConfig) throw new Error('LLM service not configured')
   const piModel = buildPiModel(activeConfig)
   const agent = new Agent(context, piModel, activeConfig.apiKey, config, chatType, locale, assistantConfig, skillCtx)

electron/main/ai/compression/index.ts

@@ -17,11 +17,13 @@ import {
   getAllUserAssistantMessages,
   addSummaryMessage,
   getMessageCountAfterSummary,
+  type ContentBlock,
+  type AIMessageRole,
 } from '../conversations'
-import { buildPiModel, getActiveConfig, findModelDefinition } from '../llm'
+import { buildPiModel, findModelDefinition } from '../llm'
 import type { AIServiceConfig } from '../llm/types'
 import { completeSimple, type TextContent as PiTextContent } from '@mariozechner/pi-ai'
-import { aiLogger } from '../logger'
+import { aiLogger, isDebugMode } from '../logger'
 
 // ==================== 类型定义 ====================
 
@@ -31,8 +33,6 @@ export interface CompressionConfig {
   tokenThresholdPercent: number
   /** 保留最近消息的缓冲区大小（相对于 context window 的百分比），默认 20 */
   bufferSizePercent: number
-  /** 独立压缩模型配置（为空则使用当前对话模型） */
-  compressionModelConfigId?: string
   /** 单次工具返回的最大上下文占比（相对于 context window 的百分比），默认 35 */
   maxToolResultPercent?: number
 }
@@ -53,19 +53,41 @@ export interface CompressionResult {
   error?: string
 }
 
-const DEFAULT_COMPRESSION_PROMPT = `You are a context compression assistant. Compress the conversation below into a structured summary.
+const INITIAL_COMPRESSION_PROMPT = `You are a context compression assistant. Compress the conversation below into a structured summary.
 
 STRICT RULES:
 - Output ONLY the summary content. No greetings, no preamble, no meta-commentary, no word/token counts.
 - Use the same language as the conversation.
 - Maximum output length: {maxTokens} tokens. Be concise.
-- Organize by topic/thread when possible.
-- Preserve: key facts, decisions, user preferences, data, names, timestamps, action items.
-- Omit: pleasantries, filler, redundant back-and-forth.
+- NEVER reproduce any single message verbatim. Always paraphrase and compress.
+- Cover ALL topics discussed — no single topic should exceed 30% of the summary.
+- Organize by topic/thread, using brief headers (e.g. "## Topic").
+- Preserve: key facts, conclusions, user preferences, data points, names, important timestamps, action items.
+- Omit: pleasantries, filler, redundant back-and-forth, detailed tables (summarize their conclusions instead).
 
 CONVERSATION:
 {messages}`
 
+const PROGRESSIVE_COMPRESSION_PROMPT = `You are a context compression assistant performing an INCREMENTAL summary update.
+
+You will receive:
+1. A [PREVIOUS SUMMARY] — this represents the compressed history of earlier conversation. Its content MUST be preserved in your output.
+2. [NEW MESSAGES] — recent messages that need to be merged into the summary.
+
+STRICT RULES:
+- Output ONLY the updated summary. No greetings, no preamble, no meta-commentary.
+- Use the same language as the conversation.
+- Maximum output length: {maxTokens} tokens. Be concise.
+- CRITICAL: You MUST retain ALL key points from the previous summary. Do not discard prior context.
+- NEVER reproduce any single message verbatim. Always paraphrase and compress.
+- Merge new information into appropriate existing topic sections, or add new sections.
+- Cover ALL topics — no single topic should exceed 30% of the summary.
+- Organize by topic/thread, using brief headers (e.g. "## Topic").
+- Preserve: key facts, conclusions, user preferences, data points, names, important timestamps, action items.
+- Omit: pleasantries, filler, redundant back-and-forth, detailed tables (summarize their conclusions instead).
+
+{messages}`
+
 const DEFAULT_CONTEXT_WINDOW = 128000
 
 // ==================== 核心压缩逻辑 ====================
@@ -89,9 +111,18 @@ export async function checkAndCompress(
 
     // 收集当前上下文消息
     const summary = getLatestSummary(conversationId)
-    const messages = summary
-      ? getMessagesAfterSummary(conversationId, summary.timestamp)
-      : getAllUserAssistantMessages(conversationId)
+
+    let messages: Array<{ role: AIMessageRole; content: string; timestamp: number }>
+    if (summary) {
+      // 从 summary_meta 获取 buffer 边界，取 >= boundary 的消息（buffer + 新消息）
+      const metaBlock = summary.contentBlocks?.find(
+        (b): b is Extract<ContentBlock, { type: 'summary_meta' }> => b.type === 'summary_meta'
+      )
+      const boundary = metaBlock?.bufferBoundaryTimestamp ?? summary.timestamp
+      messages = getMessagesAfterSummary(conversationId, boundary - 1)
+    } else {
+      messages = getAllUserAssistantMessages(conversationId)
+    }
 
     // 构建 token 计算的消息列表
     const historyForTokenCount: Array<{ role: string; content: string }> = []
@@ -116,43 +147,107 @@ export async function checkAndCompress(
 
     // 确定缓冲区（保留最近 N% 的消息）
     const bufferTokenBudget = Math.floor(contextWindow * (config.bufferSizePercent / 100))
-    const { bufferMessages, messagesToCompress } = splitMessagesForCompression(messages, summary, bufferTokenBudget)
+    const { bufferMessages, messagesToCompress } = splitMessagesForCompression(messages, bufferTokenBudget)
 
-    if (messagesToCompress.length === 0) {
+    aiLogger.info('Compression', `Split result`, {
+      totalMessages: messages.length,
+      messagesToCompress: messagesToCompress.length,
+      bufferMessages: bufferMessages.length,
+      bufferTokenBudget,
+      hasPreviousSummary: !!summary,
+    })
+
+    // 待压缩消息数过少时跳过，避免生成低质量摘要（仅保留 1-2 条消息时 LLM 倾向于原文照搬）
+    const MIN_MESSAGES_TO_COMPRESS = 3
+    if (messagesToCompress.length < MIN_MESSAGES_TO_COMPRESS) {
+      aiLogger.info(
+        'Compression',
+        `Skipping: only ${messagesToCompress.length} messages to compress (min: ${MIN_MESSAGES_TO_COMPRESS})`
+      )
       return { compressed: false, reason: 'skipped_below_threshold', tokensBefore: currentTokens }
     }
 
     // 构建压缩输入文本
+    const isProgressive = !!summary
     const compressInput = buildCompressionInput(messagesToCompress, summary)
     const targetTokens = Math.min(Math.floor(contextWindow * 0.1), 16384)
 
-    // 三级降级：独立模型 → 当前模型 → 强制截断
+    aiLogger.info('Compression', `Compression params`, {
+      mode: isProgressive ? 'progressive' : 'initial',
+      targetTokens,
+      inputLength: compressInput.length,
+      inputTokensEstimate: countTokens(compressInput),
+    })
+
+    // DEBUG 模式下输出原始消息列表和完整压缩输入
+    if (isDebugMode()) {
+      aiLogger.debug('Compression', 'Messages to compress (raw)', {
+        messages: messagesToCompress.map((m, i) => ({
+          index: i,
+          role: m.role,
+          contentLength: m.content.length,
+          contentPreview: m.content.slice(0, 200),
+        })),
+      })
+      aiLogger.debug('Compression', 'Buffer messages (kept as-is)', {
+        messages: bufferMessages.map((m, i) => ({
+          index: i,
+          role: m.role,
+          contentLength: m.content.length,
+          contentPreview: m.content.slice(0, 200),
+        })),
+      })
+      aiLogger.debug('Compression', 'Full compression input sent to LLM', compressInput)
+      if (summary) {
+        aiLogger.debug('Compression', 'Previous summary content', summary.content)
+      }
+    }
+
+    // 使用默认助手模型压缩，失败则强制截断
     let summaryText: string | null = null
 
-    // 尝试用配置的压缩模型
-    if (config.compressionModelConfigId) {
-      summaryText = await tryCompress(config.compressionModelConfigId, compressInput, targetTokens)
-    }
+    summaryText = await tryCompressWithConfig(activeAIConfig, compressInput, targetTokens, isProgressive)
 
-    // 降级到当前模型
-    if (!summaryText) {
-      summaryText = await tryCompressWithConfig(activeAIConfig, compressInput, targetTokens)
-    }
-
-    // 最终降级：强制截断
     if (!summaryText) {
       aiLogger.warn('Compression', 'LLM compression failed, falling back to truncation')
       summaryText = forceTruncate(compressInput, targetTokens)
+      aiLogger.info('Compression', 'Truncation fallback applied', {
+        outputLength: summaryText.length,
+      })
+    } else {
+      aiLogger.info('Compression', 'LLM compression succeeded', {
+        outputLength: summaryText.length,
+        outputTokensEstimate: countTokens(summaryText),
+      })
+      if (isDebugMode()) {
+        aiLogger.debug('Compression', 'Generated summary content', summaryText)
+      }
     }
 
-    // 写入 summary
-    addSummaryMessage(conversationId, summaryText)
+    // 写入 summary：时间戳 = NOW（UI 中显示在触发压缩的位置）
+    // buffer 边界 + 压缩消息数存入 content_blocks 的 summary_meta block
+    const bufferBoundary =
+      bufferMessages.length > 0
+        ? bufferMessages[0].timestamp
+        : messagesToCompress[messagesToCompress.length - 1]!.timestamp + 1
 
-    // Thrashing 检查：压缩后重新计算 token
-    const afterMessages = getMessagesAfterSummary(conversationId, Date.now() / 1000 - 1)
+    const summaryMeta = {
+      bufferBoundaryTimestamp: bufferBoundary,
+      compressedMessageCount: messagesToCompress.length,
+    }
+
+    aiLogger.info('Compression', 'Writing summary', {
+      bufferBoundary,
+      compressedCount: messagesToCompress.length,
+      bufferCount: bufferMessages.length,
+    })
+
+    addSummaryMessage(conversationId, summaryText, summaryMeta)
+
+    // Thrashing 检查：压缩后重新计算 token（summary + buffer 消息）
     const afterTokenCount: Array<{ role: string; content: string }> = [
       { role: 'assistant', content: summaryText },
-      ...afterMessages.map((m) => ({ role: m.role, content: m.content })),
+      ...bufferMessages.map((m) => ({ role: m.role, content: m.content })),
     ]
     const tokensAfter = countMessagesTokens(afterTokenCount, systemPrompt)
 
@@ -217,7 +312,6 @@ interface SplitResult {
 
 function splitMessagesForCompression(
   messages: Array<{ role: string; content: string; timestamp: number }>,
-  summary: { content: string } | null,
   bufferTokenBudget: number
 ): SplitResult {
   let bufferTokens = 0
@@ -249,7 +343,8 @@ function buildCompressionInput(
   const parts: string[] = []
 
   if (existingSummary) {
-    parts.push(`[Previous Summary]\n${existingSummary.content}\n`)
+    parts.push(`[PREVIOUS SUMMARY — MUST PRESERVE]\n${existingSummary.content}\n`)
+    parts.push(`[NEW MESSAGES — SUMMARIZE AND MERGE]`)
   }
 
   for (const msg of messagesToCompress) {
@@ -260,28 +355,16 @@ function buildCompressionInput(
   return parts.join('\n\n')
 }
 
-async function tryCompress(configId: string, input: string, targetTokens: number): Promise<string | null> {
-  try {
-    const { getAllConfigs } = await import('../llm')
-    const allConfigs = getAllConfigs()
-    const config = allConfigs.find((c) => c.id === configId)
-    if (!config) return null
-
-    return await tryCompressWithConfig(config, input, targetTokens)
-  } catch (error) {
-    aiLogger.warn('Compression', `Compression with config ${configId} failed`, { error: String(error) })
-    return null
-  }
-}
-
 async function tryCompressWithConfig(
   aiConfig: AIServiceConfig,
   input: string,
-  targetTokens: number
+  targetTokens: number,
+  isProgressive: boolean
 ): Promise<string | null> {
   try {
     const piModel = buildPiModel(aiConfig)
-    const prompt = DEFAULT_COMPRESSION_PROMPT.replace('{maxTokens}', String(targetTokens)).replace('{messages}', input)
+    const template = isProgressive ? PROGRESSIVE_COMPRESSION_PROMPT : INITIAL_COMPRESSION_PROMPT
+    const prompt = template.replace('{maxTokens}', String(targetTokens)).replace('{messages}', input)
 
     const result = await completeSimple(
       piModel,

electron/main/ai/conversations.ts

@@ -6,6 +6,7 @@
 import Database from 'better-sqlite3'
 import * as path from 'path'
 import { getAiDataDir, ensureDir } from '../paths'
+import { aiLogger } from './logger'
 
 const DEFAULT_GENERAL_ID = 'general_cn'
 
@@ -210,7 +211,7 @@ export interface AIConversation {
  */
 export type ContentBlock =
   | { type: 'text'; text: string }
-  | { type: 'think'; tag: string; text: string; durationMs?: number } // 思考内容块
+  | { type: 'think'; tag: string; text: string; durationMs?: number }
   | {
       type: 'tool'
       tool: {
@@ -220,6 +221,11 @@ export type ContentBlock =
         params?: Record<string, unknown>
       }
     }
+  | {
+      type: 'summary_meta'
+      bufferBoundaryTimestamp: number
+      compressedMessageCount: number
+    }
 
 /**
  * AI 消息类型
@@ -505,11 +511,11 @@ export function getConversationTokenUsage(conversationId: string): TokenUsageDat
  * 为 Agent 提供对话历史
  *
  * 返回简化的 {role, content} 格式，按时间升序排列。
- * 当存在 summary 消息时，返回最新 summary + summary 之后的 user/assistant 消息，
- * 以避免重复加载已被压缩的旧消息。
+ * 当存在 summary 消息时，返回：[summary] + [buffer 消息] + [新消息]。
+ * Buffer 边界从 summary 的 content_blocks 中的 summary_meta block 获取。
  *
  * @param conversationId 对话 ID
- * @param maxMessages 最大返回条数（取最近 N 条，仅对 system 摘要之后的消息生效）
+ * @param maxMessages 最大返回条数（取最近 N 条，仅对 buffer+新消息生效）
  */
 export function getHistoryForAgent(
   conversationId: string,
@@ -520,19 +526,40 @@ export function getHistoryForAgent(
     (m) => (m.role === 'user' || m.role === 'assistant' || m.role === 'system') && m.content?.trim()
   )
 
-  // 查找最新的 system 消息位置（压缩摘要）
-  let systemIndex = -1
+  // 查找最新的 system (summary) 消息
+  let systemMsg: AIMessage | undefined
   for (let i = validMessages.length - 1; i >= 0; i--) {
     if (validMessages[i].role === 'system') {
-      systemIndex = i
+      systemMsg = validMessages[i]
       break
     }
   }
 
   let result: Array<{ role: 'user' | 'assistant' | 'system'; content: string }>
 
-  if (systemIndex >= 0) {
-    result = validMessages.slice(systemIndex).map((m) => ({ role: m.role, content: m.content }))
+  if (systemMsg) {
+    // 从 content_blocks 中解析 summary_meta 获取 buffer 边界
+    const metaBlock = systemMsg.contentBlocks?.find(
+      (b): b is Extract<ContentBlock, { type: 'summary_meta' }> => b.type === 'summary_meta'
+    )
+    const bufferBoundary = metaBlock?.bufferBoundaryTimestamp
+
+    if (!metaBlock) {
+      aiLogger.warn('Conversations', 'system message missing summary_meta; agent context will be summary-only', {
+        conversationId,
+        messageId: systemMsg.id,
+      })
+    }
+
+    // 取 timestamp >= boundary 的 user/assistant 消息（buffer + 新消息）
+    const contextMessages = bufferBoundary
+      ? validMessages.filter((m) => m.role !== 'system' && m.timestamp >= bufferBoundary)
+      : []
+
+    result = [
+      { role: 'system' as const, content: systemMsg.content },
+      ...contextMessages.map((m) => ({ role: m.role, content: m.content })),
+    ]
   } else {
     result = validMessages.map((m) => ({ role: m.role, content: m.content }))
   }
@@ -552,13 +579,28 @@ export function getHistoryForAgent(
 
 /**
  * 添加 system 消息并替换旧的 system（每个对话只保留一条最新压缩摘要）
+ *
+ * Summary 时间戳 = NOW（UI 中显示在触发压缩的位置）。
+ * Buffer 边界信息存入 content_blocks 的 summary_meta block 中，供 getHistoryForAgent 使用。
  */
-export function addSummaryMessage(conversationId: string, content: string): AIMessage {
+export function addSummaryMessage(
+  conversationId: string,
+  content: string,
+  meta: { bufferBoundaryTimestamp: number; compressedMessageCount: number }
+): AIMessage {
   const db = getAiDb()
 
   db.prepare("DELETE FROM ai_message WHERE conversation_id = ? AND role = 'system'").run(conversationId)
 
-  return addMessage(conversationId, 'system', content)
+  const contentBlocks: ContentBlock[] = [
+    {
+      type: 'summary_meta',
+      bufferBoundaryTimestamp: meta.bufferBoundaryTimestamp,
+      compressedMessageCount: meta.compressedMessageCount,
+    },
+  ]
+
+  return addMessage(conversationId, 'system', content, undefined, undefined, contentBlocks)
 }
 
 /**
@@ -666,11 +708,18 @@ export function getMessageCountAfterSummary(conversationId: string): number {
       .get(conversationId) as { count: number }
     return row.count
   }
+
+  // 从 summary_meta 获取 buffer 边界，统计 >= boundary 的消息数
+  const metaBlock = summary.contentBlocks?.find(
+    (b): b is Extract<ContentBlock, { type: 'summary_meta' }> => b.type === 'summary_meta'
+  )
+  const boundary = metaBlock?.bufferBoundaryTimestamp ?? summary.timestamp
+
   const db = getAiDb()
   const row = db
     .prepare(
-      "SELECT COUNT(*) as count FROM ai_message WHERE conversation_id = ? AND timestamp > ? AND role IN ('user', 'assistant')"
+      "SELECT COUNT(*) as count FROM ai_message WHERE conversation_id = ? AND timestamp >= ? AND role IN ('user', 'assistant')"
     )
-    .get(conversationId, summary.timestamp) as { count: number }
+    .get(conversationId, boundary) as { count: number }
   return row.count
 }

electron/main/ai/llm/index.ts

@@ -81,10 +81,6 @@ function providerDefinitionToInfo(def: ProviderDefinition): ProviderInfo {
   }
 }
 
-/**
- * 所有 provider 信息（兼容旧格式）
- * @deprecated 使用 BUILTIN_PROVIDERS 代替
- */
 export const PROVIDERS: ProviderInfo[] = BUILTIN_PROVIDERS.map(providerDefinitionToInfo)
 
 // 配置文件路径
@@ -127,7 +123,8 @@ function migrateLegacyConfig(legacy: LegacyStoredConfig): AIConfigStore {
 
   return {
     configs: [newConfig],
-    activeConfigId: newConfig.id,
+    defaultAssistant: { configId: newConfig.id, modelId: newConfig.model || '' },
+    fastModel: null,
   }
 }
 
@@ -137,7 +134,7 @@ import { addCustomProvider as _addCustomProviderDirect } from './custom-provider
 import { addCustomModel as _addCustomModelDirect } from './custom-model-store'
 import { getBuiltinModelById } from './model-catalog'
 
-const CURRENT_SCHEMA_VERSION = 2
+const CURRENT_SCHEMA_VERSION = 3
 
 /**
  * MiniMax 等旧 provider 的兼容映射表
@@ -208,6 +205,34 @@ function migrateToSchemaV2(store: AIConfigStore): AIConfigStore {
   }
 }
 
+/**
+ * Schema v2 → v3：activeConfigId → defaultAssistant { configId, modelId }
+ */
+function migrateToSchemaV3(store: AIConfigStore & { activeConfigId?: string | null }): AIConfigStore {
+  aiLogger.info('LLM', 'Migrating config store to schema v3 (dual-slot model selection)')
+  const legacyActiveId = store.activeConfigId ?? null
+  const resolvedConfig =
+    legacyActiveId && store.configs.find((c) => c.id === legacyActiveId)
+      ? store.configs.find((c) => c.id === legacyActiveId)!
+      : (store.configs[0] ?? null)
+
+  return {
+    configs: store.configs,
+    defaultAssistant: resolvedConfig ? { configId: resolvedConfig.id, modelId: resolvedConfig.model || '' } : null,
+    fastModel: null,
+  }
+}
+
+/** 解析 ModelSlot：如果 configId 无效，回退到 configs[0] */
+function resolveSlot(
+  slot: import('./model-types').ModelSlot | null | undefined,
+  configs: AIServiceConfig[]
+): import('./model-types').ModelSlot | null {
+  if (slot && configs.some((c) => c.id === slot.configId)) return slot
+  const fallback = configs[0]
+  return fallback ? { configId: fallback.id, modelId: fallback.model || '' } : null
+}
+
 // ==================== 多配置管理 ====================
 
 /**
@@ -217,7 +242,7 @@ export function loadConfigStore(): AIConfigStore {
   const configPath = getConfigPath()
 
   if (!fs.existsSync(configPath)) {
-    return { configs: [], activeConfigId: null }
+    return { configs: [], defaultAssistant: null, fastModel: null }
   }
 
   try {
@@ -231,12 +256,19 @@ export function loadConfigStore(): AIConfigStore {
       return loadConfigStore()
     }
 
-    let store = data as AIConfigStore & { schemaVersion?: number }
+    let store = data as AIConfigStore & { schemaVersion?: number; activeConfigId?: string | null }
+    let needsSchemaSave = false
 
     // Schema v1 → v2 迁移
-    if (!store.schemaVersion || store.schemaVersion < CURRENT_SCHEMA_VERSION) {
-      store = { ...migrateToSchemaV2(store), schemaVersion: CURRENT_SCHEMA_VERSION } as typeof store
-      // 先解密再保存（migrateToSchemaV2 不改 apiKey 格式）
+    if (!store.schemaVersion || store.schemaVersion < 2) {
+      store = { ...migrateToSchemaV2(store), schemaVersion: 2 } as typeof store
+      needsSchemaSave = true
+    }
+
+    // Schema v2 → v3 迁移
+    if (store.schemaVersion < 3) {
+      store = { ...migrateToSchemaV3(store), schemaVersion: CURRENT_SCHEMA_VERSION } as typeof store
+      needsSchemaSave = true
     }
 
     let needsEncryptionMigration = false
@@ -251,7 +283,7 @@ export function loadConfigStore(): AIConfigStore {
       }
     })
 
-    if (needsEncryptionMigration || (!data.schemaVersion && store.schemaVersion)) {
+    if (needsEncryptionMigration || needsSchemaSave) {
       aiLogger.info('LLM', 'Saving migrated config store')
       saveConfigStoreRaw({
         ...store,
@@ -268,7 +300,7 @@ export function loadConfigStore(): AIConfigStore {
     }
   } catch (error) {
     aiLogger.error('LLM', 'Failed to load configs', error)
-    return { configs: [], activeConfigId: null }
+    return { configs: [], defaultAssistant: null, fastModel: null }
   }
 }
 
@@ -301,10 +333,37 @@ export function getAllConfigs(): AIServiceConfig[] {
   return loadConfigStore().configs
 }
 
-export function getActiveConfig(): AIServiceConfig | null {
+/** 获取默认助手 slot（含 configId + modelId） */
+export function getDefaultAssistantSlot(): import('./model-types').ModelSlot | null {
   const store = loadConfigStore()
-  if (!store.activeConfigId) return null
-  return store.configs.find((c) => c.id === store.activeConfigId) || null
+  return resolveSlot(store.defaultAssistant, store.configs)
+}
+
+/** 获取默认助手模型配置（AI 对话、工具调用、SQL 助手、上下文压缩）。自动覆盖 config.model 为 slot.modelId */
+export function getDefaultAssistantConfig(): AIServiceConfig | null {
+  const store = loadConfigStore()
+  const slot = resolveSlot(store.defaultAssistant, store.configs)
+  if (!slot) return null
+  const config = store.configs.find((c) => c.id === slot.configId)
+  if (!config) return null
+  return { ...config, model: slot.modelId || config.model }
+}
+
+/** 获取快速模型 slot */
+export function getFastModelSlot(): import('./model-types').ModelSlot | null {
+  const store = loadConfigStore()
+  return resolveSlot(store.fastModel, store.configs)
+}
+
+/** 获取快速模型配置（会话摘要），未配置时回退到默认助手 */
+export function getFastModelConfig(): AIServiceConfig | null {
+  const store = loadConfigStore()
+  const slot = resolveSlot(store.fastModel, store.configs)
+  if (slot) {
+    const config = store.configs.find((c) => c.id === slot.configId)
+    if (config) return { ...config, model: slot.modelId || config.model }
+  }
+  return getDefaultAssistantConfig()
 }
 
 export function getConfigById(id: string): AIServiceConfig | null {
@@ -334,7 +393,7 @@ export function addConfig(config: Omit<AIServiceConfig, 'id' | 'createdAt' | 'up
   store.configs.push(newConfig)
 
   if (store.configs.length === 1) {
-    store.activeConfigId = newConfig.id
+    store.defaultAssistant = { configId: newConfig.id, modelId: newConfig.model || '' }
   }
 
   saveConfigStore(store)
@@ -372,30 +431,50 @@ export function deleteConfig(id: string): { success: boolean; error?: string } {
 
   store.configs.splice(index, 1)
 
-  if (store.activeConfigId === id) {
-    store.activeConfigId = store.configs.length > 0 ? store.configs[0].id : null
+  const fallback = store.configs[0]
+  if (store.defaultAssistant?.configId === id) {
+    store.defaultAssistant = fallback ? { configId: fallback.id, modelId: fallback.model || '' } : null
+  }
+  if (store.fastModel?.configId === id) {
+    store.fastModel = fallback ? { configId: fallback.id, modelId: fallback.model || '' } : null
   }
 
   saveConfigStore(store)
   return { success: true }
 }
 
-export function setActiveConfig(id: string): { success: boolean; error?: string } {
+/** 设置默认助手模型（configId + modelId） */
+export function setDefaultAssistantModel(configId: string, modelId: string): { success: boolean; error?: string } {
   const store = loadConfigStore()
-  const config = store.configs.find((c) => c.id === id)
+  const config = store.configs.find((c) => c.id === configId)
 
   if (!config) {
     return { success: false, error: t('llm.configNotFound') }
   }
 
-  store.activeConfigId = id
+  store.defaultAssistant = { configId, modelId }
+  saveConfigStore(store)
+  return { success: true }
+}
+
+/** 设置快速模型（configId + modelId），传 null 表示跟随默认助手 */
+export function setFastModel(slot: import('./model-types').ModelSlot | null): { success: boolean; error?: string } {
+  const store = loadConfigStore()
+
+  if (slot !== null) {
+    const config = store.configs.find((c) => c.id === slot.configId)
+    if (!config) {
+      return { success: false, error: t('llm.configNotFound') }
+    }
+  }
+
+  store.fastModel = slot
   saveConfigStore(store)
   return { success: true }
 }
 
 export function hasActiveConfig(): boolean {
-  const config = getActiveConfig()
-  return config !== null
+  return getDefaultAssistantConfig() !== null
 }
 
 function validateProviderBaseUrl(provider: LLMProvider, baseUrl?: string): void {
@@ -425,10 +504,6 @@ function validateProviderBaseUrl(provider: LLMProvider, baseUrl?: string): void
   }
 }
 
-/**
- * 获取提供商信息（兼容旧调用）
- * @deprecated 使用 getBuiltinProviderById 代替
- */
 export function getProviderInfo(provider: LLMProvider): ProviderInfo | null {
   return PROVIDERS.find((p) => p.id === provider) || null
 }

electron/main/ai/llm/model-types.ts

@@ -83,8 +83,14 @@ export interface ModelCatalogStore {
   models: ModelDefinition[]
 }
 
+export interface ModelSlot {
+  configId: string
+  modelId: string
+}
+
 export interface LLMConnectionStore {
   configs: LLMConnectionConfigCompat[]
-  activeConfigId: string | null
+  defaultAssistant: ModelSlot | null
+  fastModel: ModelSlot | null
   schemaVersion: number
 }

electron/main/ai/llm/types.ts

@@ -1,21 +1,11 @@
 /**
  * LLM 服务类型定义
- * 新类型系统基于 model-types.ts，此文件保留兼容别名
  */
 
-// 重新导出新类型系统
 export * from './model-types'
 
-// ==================== 兼容别名 ====================
-
-/**
- * @deprecated 使用 ProviderDefinition.id (string) 代替
- */
 export type LLMProvider = string
 
-/**
- * @deprecated 使用 ProviderDefinition 代替
- */
 export interface ProviderInfo {
   id: string
   name: string
@@ -27,11 +17,6 @@ export interface ProviderInfo {
   }>
 }
 
-// ==================== 旧配置类型（兼容期保留） ====================
-
-/**
- * @deprecated 使用 LLMConnectionConfigCompat 代替
- */
 export interface AIServiceConfig {
   id: string
   name: string
@@ -48,12 +33,10 @@ export interface AIServiceConfig {
   updatedAt: number
 }
 
-/**
- * @deprecated 使用 LLMConnectionStore 代替
- */
 export interface AIConfigStore {
   configs: AIServiceConfig[]
-  activeConfigId: string | null
+  defaultAssistant: import('./model-types').ModelSlot | null
+  fastModel: import('./model-types').ModelSlot | null
 }
 
 export const MAX_CONFIG_COUNT = 99

electron/main/ai/rag/embedding/index.ts

@@ -69,7 +69,7 @@ function resolveApiConfig(config: EmbeddingServiceConfig): {
 } {
   if (config.apiSource === 'reuse_llm') {
     // 复用当前 LLM 配置
-    const llmConfig = llm.getActiveConfig()
+    const llmConfig = llm.getDefaultAssistantConfig()
 
     if (!llmConfig) {
       throw new Error('未找到激活的 LLM 配置，请先在「模型配置」中添加 AI 服务')

electron/main/ai/rag/pipeline/semantic.ts

@@ -11,7 +11,7 @@ import { getVectorStore } from '../store'
 import { getSessionChunks } from '../chunking'
 import { loadRAGConfig } from '../config'
 import { completeSimple, type TextContent as PiTextContent } from '@mariozechner/pi-ai'
-import { getActiveConfig, buildPiModel } from '../../llm'
+import { getDefaultAssistantConfig, buildPiModel } from '../../llm'
 import { aiLogger as logger } from '../../logger'
 
 /**
@@ -34,7 +34,7 @@ const QUERY_REWRITE_PROMPT = `你是一个查询优化专家。请将用户的
  */
 async function rewriteQuery(query: string, abortSignal?: AbortSignal): Promise<string> {
   try {
-    const activeConfig = getActiveConfig()
+    const activeConfig = getDefaultAssistantConfig()
     if (!activeConfig) return query
 
     const piModel = buildPiModel(activeConfig)

electron/main/ai/summary/index.ts

@@ -9,7 +9,7 @@
 
 import Database from 'better-sqlite3'
 import { completeSimple, type TextContent as PiTextContent } from '@mariozechner/pi-ai'
-import { getActiveConfig, buildPiModel } from '../llm'
+import { getFastModelConfig, buildPiModel } from '../llm'
 import { getDbPath, openDatabase } from '../../database/core'
 import { aiLogger } from '../logger'
 import { t } from '../../i18n'
@@ -20,12 +20,12 @@ async function llmComplete(
   userPrompt: string,
   options?: { temperature?: number; maxTokens?: number }
 ): Promise<string> {
-  const activeConfig = getActiveConfig()
-  if (!activeConfig) {
+  const fastConfig = getFastModelConfig()
+  if (!fastConfig) {
     throw new Error(t('llm.notConfigured'))
   }
 
-  const piModel = buildPiModel(activeConfig)
+  const piModel = buildPiModel(fastConfig)
   const now = Date.now()
 
   const result = await completeSimple(
@@ -35,7 +35,7 @@ async function llmComplete(
       messages: [{ role: 'user', content: userPrompt, timestamp: now }],
     },
     {
-      apiKey: activeConfig.apiKey,
+      apiKey: fastConfig.apiKey,
       temperature: options?.temperature,
       maxTokens: options?.maxTokens,
     }

electron/main/ipc/ai.ts

@@ -10,7 +10,7 @@ import { serializeError } from '../ai/serialize-error'
 import { getLogsDir } from '../paths'
 import { Agent, type AgentStreamChunk, type SkillContext } from '../ai/agent'
 import { getDefaultGeneralAssistantId } from '../ai/assistant/defaultGeneral'
-import { getActiveConfig, buildPiModel } from '../ai/llm'
+import { getDefaultAssistantConfig, buildPiModel } from '../ai/llm'
 import { checkAndCompress, manualCompress, type CompressionConfig } from '../ai/compression'
 import { countMessagesTokens } from '../ai/tokenizer'
 import * as assistantManager from '../ai/assistant'
@@ -406,11 +406,17 @@ export function registerAIHandlers({ win }: IpcContext): void {
   })
 
   /**
-   * 获取当前激活的配置 ID
+   * 获取默认助手 slot
    */
-  ipcMain.handle('llm:getActiveConfigId', async () => {
-    const config = llm.getActiveConfig()
-    return config?.id || null
+  ipcMain.handle('llm:getDefaultAssistantSlot', async () => {
+    return llm.getDefaultAssistantSlot()
+  })
+
+  /**
+   * 获取快速模型 slot
+   */
+  ipcMain.handle('llm:getFastModelSlot', async () => {
+    return llm.getFastModelSlot()
   })
 
   /**
@@ -489,11 +495,10 @@ export function registerAIHandlers({ win }: IpcContext): void {
    */
   ipcMain.handle('llm:deleteConfig', async (_, id?: string) => {
     try {
-      // 如果没有传 id，删除当前激活的配置
       if (!id) {
-        const activeConfig = llm.getActiveConfig()
-        if (activeConfig) {
-          return llm.deleteConfig(activeConfig.id)
+        const defaultConfig = llm.getDefaultAssistantConfig()
+        if (defaultConfig) {
+          return llm.deleteConfig(defaultConfig.id)
         }
         return { success: false, error: t('llm.noActiveConfig') }
       }
@@ -505,13 +510,25 @@ export function registerAIHandlers({ win }: IpcContext): void {
   })
 
   /**
-   * 设置激活的配置
+   * 设置默认助手模型（configId + modelId）
    */
-  ipcMain.handle('llm:setActiveConfig', async (_, id: string) => {
+  ipcMain.handle('llm:setDefaultAssistantModel', async (_, configId: string, modelId: string) => {
     try {
-      return llm.setActiveConfig(id)
+      return llm.setDefaultAssistantModel(configId, modelId)
     } catch (error) {
-      console.error('Failed to set active config:', error)
+      console.error('Failed to set default assistant model:', error)
+      return { success: false, error: String(error) }
+    }
+  })
+
+  /**
+   * 设置快速模型
+   */
+  ipcMain.handle('llm:setFastModel', async (_, slot: { configId: string; modelId: string } | null) => {
+    try {
+      return llm.setFastModel(slot)
+    } catch (error) {
+      console.error('Failed to set fast model:', error)
       return { success: false, error: String(error) }
     }
   })
@@ -637,7 +654,7 @@ export function registerAIHandlers({ win }: IpcContext): void {
       options?: { temperature?: number; maxTokens?: number }
     ) => {
       try {
-        const activeConfig = getActiveConfig()
+        const activeConfig = getDefaultAssistantConfig()
         if (!activeConfig) {
           return { success: false, error: t('llm.notConfigured') }
         }
@@ -684,7 +701,7 @@ export function registerAIHandlers({ win }: IpcContext): void {
       options?: { temperature?: number; maxTokens?: number }
     ) => {
       try {
-        const activeConfig = getActiveConfig()
+        const activeConfig = getDefaultAssistantConfig()
         if (!activeConfig) {
           return { success: false, error: t('llm.notConfigured') }
         }
@@ -1079,7 +1096,7 @@ export function registerAIHandlers({ win }: IpcContext): void {
         const abortController = new AbortController()
         activeAgentRequests.set(requestId, abortController)
 
-        const activeAIConfig = getActiveConfig()
+        const activeAIConfig = getDefaultAssistantConfig()
         if (!activeAIConfig) {
           return { success: false, error: t('llm.notConfigured') }
         }
@@ -1323,7 +1340,7 @@ export function registerAIHandlers({ win }: IpcContext): void {
     'ai:compressContext',
     async (_, conversationId: string, compressionConfig: CompressionConfig, systemPrompt: string) => {
       try {
-        const activeAIConfig = getActiveConfig()
+        const activeAIConfig = getDefaultAssistantConfig()
         if (!activeAIConfig) {
           return { success: false, error: t('llm.notConfigured') }
         }

electron/preload/apis/ai.ts

@@ -578,7 +578,6 @@ export const aiApi = {
       enabled: boolean
       tokenThresholdPercent: number
       bufferSizePercent: number
-      compressionModelConfigId?: string
       maxToolResultPercent?: number
     },
     systemPrompt: string
@@ -667,10 +666,17 @@ export const llmApi = {
   },
 
   /**
-   * 获取当前激活的配置 ID
+   * 获取默认助手 slot（configId + modelId）
    */
-  getActiveConfigId: (): Promise<string | null> => {
-    return ipcRenderer.invoke('llm:getActiveConfigId')
+  getDefaultAssistantSlot: (): Promise<{ configId: string; modelId: string } | null> => {
+    return ipcRenderer.invoke('llm:getDefaultAssistantSlot')
+  },
+
+  /**
+   * 获取快速模型 slot
+   */
+  getFastModelSlot: (): Promise<{ configId: string; modelId: string } | null> => {
+    return ipcRenderer.invoke('llm:getFastModelSlot')
   },
 
   /**
@@ -720,10 +726,17 @@ export const llmApi = {
   },
 
   /**
-   * 设置激活的配置
+   * 设置默认助手模型（configId + modelId）
    */
-  setActiveConfig: (id: string): Promise<{ success: boolean; error?: string }> => {
-    return ipcRenderer.invoke('llm:setActiveConfig', id)
+  setDefaultAssistantModel: (configId: string, modelId: string): Promise<{ success: boolean; error?: string }> => {
+    return ipcRenderer.invoke('llm:setDefaultAssistantModel', configId, modelId)
+  },
+
+  /**
+   * 设置快速模型
+   */
+  setFastModel: (slot: { configId: string; modelId: string } | null): Promise<{ success: boolean; error?: string }> => {
+    return ipcRenderer.invoke('llm:setFastModel', slot)
   },
 
   /**
@@ -1000,7 +1013,6 @@ export const agentApi = {
       enabled: boolean
       tokenThresholdPercent: number
       bufferSizePercent: number
-      compressionModelConfigId?: string
       maxToolResultPercent?: number
     }
   ): {

electron/preload/index.d.ts

@@ -304,6 +304,11 @@ type AIContentBlock =
       }
     }
   | { type: 'skill'; skillId: string; skillName: string }
+  | {
+      type: 'summary_meta'
+      bufferBoundaryTimestamp: number
+      compressedMessageCount: number
+    }
 
 type AIMessageRole = 'user' | 'assistant' | 'system'
 
@@ -410,7 +415,6 @@ interface AiApi {
       enabled: boolean
       tokenThresholdPercent: number
       bufferSizePercent: number
-      compressionModelConfigId?: string
       maxToolResultPercent?: number
     },
     systemPrompt: string
@@ -565,12 +569,12 @@ interface LlmApi {
   ) => Promise<{ success: boolean; error?: string }>
   deleteCustomModel: (providerId: string, modelId: string) => Promise<{ success: boolean; error?: string }>
 
-  /** @deprecated 使用 getProviderRegistry 代替 */
   getProviders: () => Promise<LLMProviderInfo[]>
 
   // 多配置管理 API
   getAllConfigs: () => Promise<AIServiceConfigDisplay[]>
-  getActiveConfigId: () => Promise<string | null>
+  getDefaultAssistantSlot: () => Promise<{ configId: string; modelId: string } | null>
+  getFastModelSlot: () => Promise<{ configId: string; modelId: string } | null>
   addConfig: (config: {
     name: string
     provider: string
@@ -599,7 +603,8 @@ interface LlmApi {
     }
   ) => Promise<{ success: boolean; error?: string }>
   deleteConfig: (id?: string) => Promise<{ success: boolean; error?: string }>
-  setActiveConfig: (id: string) => Promise<{ success: boolean; error?: string }>
+  setDefaultAssistantModel: (configId: string, modelId: string) => Promise<{ success: boolean; error?: string }>
+  setFastModel: (slot: { configId: string; modelId: string } | null) => Promise<{ success: boolean; error?: string }>
 
   // 验证和检查
   validateApiKey: (
@@ -834,7 +839,6 @@ interface AgentApi {
       enabled: boolean
       tokenThresholdPercent: number
       bufferSizePercent: number
-      compressionModelConfigId?: string
       maxToolResultPercent?: number
     }
   ) => { requestId: string; promise: Promise<{ success: boolean; result?: AgentResult; error?: SerializedErrorInfo }> }

src/components/AIChat/chat/ChatStatusBar.vue

@@ -25,7 +25,7 @@ const props = defineProps<{
 const promptStore = usePromptStore()
 const llmStore = useLLMStore()
 const { aiGlobalSettings } = storeToRefs(promptStore)
-const { configs, activeConfig, isLoading: isLoadingLLM } = storeToRefs(llmStore)
+const { configs, defaultAssistantConfig, isLoading: isLoadingLLM } = storeToRefs(llmStore)
 
 // 下拉菜单状态
 const isModelPopoverOpen = ref(false)
@@ -86,10 +86,10 @@ const contextTokens = computed(() => {
 })
 
 const modelContextWindow = computed(() => {
-  if (!activeConfig.value) return 128000
+  if (!defaultAssistantConfig.value) return 128000
   const model =
-    llmStore.getModelById(activeConfig.value.provider, activeConfig.value.model) ||
-    llmStore.findModelAcrossProviders(activeConfig.value.model)
+    llmStore.getModelById(defaultAssistantConfig.value.provider, defaultAssistantConfig.value.model) ||
+    llmStore.findModelAcrossProviders(defaultAssistantConfig.value.model)
   return model?.contextWindow ?? 128000
 })
 
@@ -129,7 +129,8 @@ function openChatSettings() {
 
 // 切换 AI 模型配置
 async function switchModelConfig(configId: string) {
-  const success = await llmStore.setActiveConfig(configId)
+  const config = llmStore.configs.find((c) => c.id === configId)
+  const success = await llmStore.setDefaultAssistantModel(configId, config?.model || '')
   if (success) {
     isModelPopoverOpen.value = false
   } else {
@@ -233,7 +234,7 @@ async function openAiLogFile() {
         >
           <UIcon name="i-heroicons-cpu-chip" class="h-3.5 w-3.5" />
           <span class="max-w-[120px] truncate">
-            {{ activeConfig?.name || t('ai.chat.statusBar.model.notConfigured') }}
+            {{ defaultAssistantConfig?.name || t('ai.chat.statusBar.model.notConfigured') }}
           </span>
           <UIcon name="i-heroicons-chevron-down" class="h-3 w-3" />
         </button>
@@ -250,16 +251,18 @@ async function openAiLogFile() {
                 :key="config.id"
                 class="flex w-full items-center gap-2 px-3 py-2 text-left text-sm transition-colors hover:bg-gray-100 dark:hover:bg-gray-800"
                 :class="[
-                  config.id === activeConfig?.id
+                  config.id === defaultAssistantConfig?.id
                     ? 'text-pink-600 dark:text-pink-400'
                     : 'text-gray-700 dark:text-gray-300',
                 ]"
                 @click="switchModelConfig(config.id)"
               >
                 <UIcon
-                  :name="config.id === activeConfig?.id ? 'i-heroicons-check-circle-solid' : 'i-heroicons-cpu-chip'"
+                  :name="
+                    config.id === defaultAssistantConfig?.id ? 'i-heroicons-check-circle-solid' : 'i-heroicons-cpu-chip'
+                  "
                   class="h-4 w-4 shrink-0"
-                  :class="[config.id === activeConfig?.id ? 'text-pink-500' : 'text-gray-400']"
+                  :class="[config.id === defaultAssistantConfig?.id ? 'text-pink-500' : 'text-gray-400']"
                 />
                 <div class="flex flex-col truncate">
                   <span class="truncate">{{ config.name }}</span>

src/components/common/Settings/AI/AIDefaultModelTab.vue

@@ -0,0 +1,222 @@
+<script setup lang="ts">
+import { computed, onMounted } from 'vue'
+import { storeToRefs } from 'pinia'
+import { useI18n } from 'vue-i18n'
+import { useLLMStore } from '@/stores/llm'
+
+const { t } = useI18n()
+
+const emit = defineEmits<{
+  'config-changed': []
+}>()
+
+const llmStore = useLLMStore()
+const { configs, defaultAssistant, fastModel, modelCatalog } = storeToRefs(llmStore)
+
+function getModelsForConfig(configId: string) {
+  const config = configs.value.find((c) => c.id === configId)
+  if (!config) return []
+
+  if (config.customModels && config.customModels.length > 0) {
+    return config.customModels.map((m) => ({ label: m.name || m.id, value: m.id }))
+  }
+
+  const models = modelCatalog.value.filter(
+    (m) =>
+      m.providerId === config.provider && !m.capabilities.includes('embedding') && !m.capabilities.includes('ranking')
+  )
+  const options = models.map((m) => ({ label: m.name || m.id, value: m.id }))
+
+  if (config.model && !options.some((o) => o.value === config.model)) {
+    options.unshift({ label: config.model, value: config.model })
+  }
+
+  return options
+}
+
+const configOptions = computed(() =>
+  configs.value.map((c) => ({
+    label: c.name,
+    value: c.id,
+  }))
+)
+
+// ========== 助手模型 ==========
+
+const assistantModelOptions = computed(() => {
+  const id = defaultAssistant.value?.configId
+  return id ? getModelsForConfig(id) : []
+})
+
+const internalAssistantConfigId = computed({
+  get: () => defaultAssistant.value?.configId ?? '',
+  set: (val: string) => {
+    if (!val) return
+    const models = getModelsForConfig(val)
+    const modelId = models[0]?.value ?? ''
+    llmStore.setDefaultAssistantModel(val, modelId)
+    emit('config-changed')
+  },
+})
+
+const internalAssistantModelId = computed({
+  get: () => defaultAssistant.value?.modelId ?? '',
+  set: (val: string) => {
+    const configId = defaultAssistant.value?.configId
+    if (configId && val) {
+      llmStore.setDefaultAssistantModel(configId, val)
+      emit('config-changed')
+    }
+  },
+})
+
+// ========== 快速模型 ==========
+
+const FOLLOW_VALUE = '__follow__'
+
+const fastConfigSelectOptions = computed(() => [
+  { label: t('settings.defaultModel.fastModel.followAssistant'), value: FOLLOW_VALUE },
+  ...configOptions.value,
+])
+
+const fastModelOptions = computed(() => {
+  const id = fastModel.value?.configId
+  return id ? getModelsForConfig(id) : []
+})
+
+const showFastModelSelector = computed(() => fastModel.value !== null)
+
+const internalFastConfigId = computed({
+  get: () => fastModel.value?.configId ?? FOLLOW_VALUE,
+  set: (val: string) => {
+    if (val === FOLLOW_VALUE) {
+      llmStore.setFastModel(null)
+    } else {
+      const models = getModelsForConfig(val)
+      const modelId = models[0]?.value ?? ''
+      llmStore.setFastModel({ configId: val, modelId })
+    }
+    emit('config-changed')
+  },
+})
+
+const internalFastModelId = computed({
+  get: () => fastModel.value?.modelId ?? '',
+  set: (val: string) => {
+    const configId = fastModel.value?.configId
+    if (configId && val) {
+      llmStore.setFastModel({ configId, modelId: val })
+      emit('config-changed')
+    }
+  },
+})
+
+onMounted(() => {
+  if (!llmStore.isInitialized) {
+    llmStore.init()
+  }
+})
+</script>
+
+<template>
+  <div class="space-y-6">
+    <div
+      v-if="configs.length === 0"
+      class="rounded-lg border-2 border-dashed border-gray-200 py-8 text-center dark:border-gray-700"
+    >
+      <UIcon name="i-heroicons-cpu-chip" class="mx-auto mb-2 h-8 w-8 text-gray-300 dark:text-gray-600" />
+      <p class="text-sm text-gray-500 dark:text-gray-400">{{ t('settings.defaultModel.noConfigs') }}</p>
+    </div>
+
+    <div v-else>
+      <h4 class="mb-3 flex items-center gap-2 text-sm font-semibold text-gray-900 dark:text-white">
+        <UIcon name="i-heroicons-cpu-chip" class="h-4 w-4 text-violet-500" />
+        {{ t('settings.defaultModel.title') }}
+      </h4>
+      <div class="space-y-5 rounded-lg border border-gray-200 bg-gray-50 p-4 dark:border-gray-700 dark:bg-gray-800/50">
+        <!-- 默认助手模型 -->
+        <div>
+          <div class="mb-2">
+            <p class="text-sm font-medium text-gray-900 dark:text-white">
+              {{ t('settings.defaultModel.assistantModel.label') }}
+            </p>
+            <p class="text-xs text-gray-500 dark:text-gray-400">
+              {{ t('settings.defaultModel.assistantModel.description') }}
+            </p>
+          </div>
+          <div class="flex items-center gap-3">
+            <div class="flex-1">
+              <span class="mb-1 block text-xs text-gray-400 dark:text-gray-500">
+                {{ t('settings.defaultModel.selectProvider') }}
+              </span>
+              <USelect
+                v-model="internalAssistantConfigId"
+                :items="configOptions"
+                :ui="{ content: 'z-[200]' }"
+                class="w-full"
+                size="sm"
+              />
+            </div>
+            <div class="flex-1">
+              <span class="mb-1 block text-xs text-gray-400 dark:text-gray-500">
+                {{ t('settings.defaultModel.selectModel') }}
+              </span>
+              <USelect
+                v-if="assistantModelOptions.length > 0"
+                v-model="internalAssistantModelId"
+                :items="assistantModelOptions"
+                :ui="{ content: 'z-[200]' }"
+                class="w-full"
+                size="sm"
+              />
+              <USelect v-else :items="[]" disabled class="w-full" size="sm" />
+            </div>
+          </div>
+        </div>
+
+        <!-- 分隔线 -->
+        <div class="border-t border-gray-200 dark:border-gray-700" />
+
+        <!-- 快速模型 -->
+        <div>
+          <div class="mb-2">
+            <p class="text-sm font-medium text-gray-900 dark:text-white">
+              {{ t('settings.defaultModel.fastModel.label') }}
+            </p>
+            <p class="text-xs text-gray-500 dark:text-gray-400">
+              {{ t('settings.defaultModel.fastModel.description') }}
+            </p>
+          </div>
+          <div class="flex items-center gap-3">
+            <div class="flex-1">
+              <span class="mb-1 block text-xs text-gray-400 dark:text-gray-500">
+                {{ t('settings.defaultModel.selectProvider') }}
+              </span>
+              <USelect
+                v-model="internalFastConfigId"
+                :items="fastConfigSelectOptions"
+                :ui="{ content: 'z-[200]' }"
+                class="w-full"
+                size="sm"
+              />
+            </div>
+            <div class="flex-1">
+              <span class="mb-1 block text-xs text-gray-400 dark:text-gray-500">
+                {{ t('settings.defaultModel.selectModel') }}
+              </span>
+              <USelect
+                v-if="showFastModelSelector && fastModelOptions.length > 0"
+                v-model="internalFastModelId"
+                :items="fastModelOptions"
+                :ui="{ content: 'z-[200]' }"
+                class="w-full"
+                size="sm"
+              />
+              <USelect v-else :items="[]" disabled class="w-full" size="sm" />
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  </div>
+</template>

src/components/common/Settings/AI/AIModelConfigTab.vue

@@ -24,7 +24,7 @@ const aiTips = computed(() => {
 // ============ Store ============
 
 const llmStore = useLLMStore()
-const { configs, providers, providerRegistry, activeConfigId, isLoading, isMaxConfigs } = storeToRefs(llmStore)
+const { configs, providers, providerRegistry, isLoading, isMaxConfigs } = storeToRefs(llmStore)
 
 // 弹窗状态
 const showEditModal = ref(false)
@@ -64,13 +64,6 @@ async function deleteConfig(id: string) {
   }
 }
 
-async function setActive(id: string) {
-  const success = await llmStore.setActiveConfig(id)
-  if (success) {
-    emit('config-changed')
-  }
-}
-
 function getProviderName(providerId: string): string {
   const key = `providers.${providerId}.name`
   const translated = t(key)
@@ -119,86 +112,78 @@ onMounted(() => {
   </div>
 
   <!-- 配置列表视图 -->
-  <div v-else class="space-y-4">
-    <!-- 标题 -->
-    <h4 class="flex items-center gap-2 text-sm font-semibold text-gray-900 dark:text-white">
-      <UIcon name="i-heroicons-sparkles" class="h-4 w-4 text-violet-500" />
-      {{ t('settings.aiConfig.title') }}
-    </h4>
-    <AlertTips v-if="configs.length === 0 && aiTips.configTab?.show" :content="aiTips.configTab?.content" />
-    <!-- 配置列表 -->
-    <div v-if="configs.length > 0" class="overflow-hidden rounded-lg border border-gray-200 dark:border-gray-700 divide-y divide-gray-100 dark:divide-gray-800">
-      <div
-        v-for="config in configs"
-        :key="config.id"
-        class="group flex cursor-pointer items-center justify-between px-3 py-2 transition-colors"
-        :class="[
-          config.id === activeConfigId
-            ? 'bg-primary-50/60 dark:bg-primary-900/20'
-            : 'bg-card-bg hover:bg-gray-50 dark:bg-card-dark dark:hover:bg-gray-800/50',
-        ]"
-        @click="setActive(config.id)"
-      >
-        <!-- 配置信息 -->
-        <div class="flex items-center gap-3">
+  <div v-else class="space-y-6">
+    <div>
+      <h4 class="mb-3 flex items-center gap-2 text-sm font-semibold text-gray-900 dark:text-white">
+        <UIcon name="i-heroicons-sparkles" class="h-4 w-4 text-violet-500" />
+        {{ t('settings.aiConfig.title') }}
+      </h4>
+      <AlertTips v-if="configs.length === 0 && aiTips.configTab?.show" :content="aiTips.configTab?.content" />
+      <div class="rounded-lg border border-gray-200 bg-gray-50 dark:border-gray-700 dark:bg-gray-800/50">
+        <!-- 配置列表 -->
+        <div v-if="configs.length > 0" class="divide-y divide-gray-200 dark:divide-gray-700">
           <div
-            class="flex h-6 w-6 shrink-0 items-center justify-center rounded-full"
-            :class="[
-              config.id === activeConfigId
-                ? 'bg-primary-500 text-white'
-                : 'bg-gray-200 text-gray-500 dark:bg-gray-700 dark:text-gray-400',
-            ]"
+            v-for="config in configs"
+            :key="config.id"
+            class="group flex items-center justify-between px-4 py-2.5 transition-colors hover:bg-gray-100/50 dark:hover:bg-gray-700/30"
           >
-            <UIcon
-              :name="config.id === activeConfigId ? 'i-heroicons-check' : 'i-heroicons-sparkles'"
-              class="h-3.5 w-3.5"
-            />
-          </div>
-          <div class="flex min-w-0 items-center gap-2">
-            <span class="w-28 shrink-0 truncate font-medium text-sm text-gray-900 dark:text-white">{{ config.name }}</span>
-            <span class="h-3.5 w-px shrink-0 bg-gray-200 dark:bg-gray-700" />
-            <span class="flex min-w-0 items-center gap-1.5 text-xs text-gray-500 dark:text-gray-400">
-              <span class="truncate">{{ getProviderName(config.provider) }}</span>
-              <UBadge v-if="getProviderKindLabel(config.provider)" color="neutral" variant="subtle" size="xs">
-                {{ getProviderKindLabel(config.provider) }}
-              </UBadge>
-              <span class="shrink-0">·</span>
-              <span class="truncate">{{ getModelDisplayName(config.provider, config.model) }}</span>
-            </span>
+            <div class="flex items-center gap-3">
+              <div
+                class="flex h-6 w-6 shrink-0 items-center justify-center rounded-full bg-gray-200 text-gray-500 dark:bg-gray-700 dark:text-gray-400"
+              >
+                <UIcon name="i-heroicons-sparkles" class="h-3.5 w-3.5" />
+              </div>
+              <div class="flex min-w-0 items-center gap-2">
+                <span class="w-28 shrink-0 truncate text-sm font-medium text-gray-900 dark:text-white">
+                  {{ config.name }}
+                </span>
+                <span class="h-3.5 w-px shrink-0 bg-gray-200 dark:bg-gray-700" />
+                <span class="flex min-w-0 items-center gap-1.5 text-xs text-gray-500 dark:text-gray-400">
+                  <span class="truncate">{{ getProviderName(config.provider) }}</span>
+                  <UBadge v-if="getProviderKindLabel(config.provider)" color="neutral" variant="subtle" size="xs">
+                    {{ getProviderKindLabel(config.provider) }}
+                  </UBadge>
+                  <span class="shrink-0">·</span>
+                  <span class="truncate">{{ getModelDisplayName(config.provider, config.model) }}</span>
+                </span>
+              </div>
+            </div>
+
+            <div class="flex items-center gap-1">
+              <UButton
+                size="xs"
+                color="neutral"
+                variant="ghost"
+                icon="i-heroicons-pencil-square"
+                @click="openEditModal(config)"
+              />
+              <UButton
+                size="xs"
+                color="error"
+                variant="ghost"
+                icon="i-heroicons-trash"
+                @click="deleteConfig(config.id)"
+              />
+            </div>
           </div>
         </div>
 
-        <!-- 操作按钮 -->
-        <div class="flex items-center gap-1 opacity-0 transition-opacity group-hover:opacity-100" @click.stop>
-          <UButton
-            size="xs"
-            color="neutral"
-            variant="ghost"
-            icon="i-heroicons-pencil-square"
-            @click="openEditModal(config)"
-          />
-          <UButton size="xs" color="error" variant="ghost" icon="i-heroicons-trash" @click="deleteConfig(config.id)" />
+        <!-- 空状态 -->
+        <div v-else class="flex flex-col items-center justify-center py-8">
+          <UIcon name="i-heroicons-sparkles" class="h-8 w-8 text-gray-300 dark:text-gray-600" />
+          <p class="mt-2 text-sm text-gray-500 dark:text-gray-400">{{ t('settings.aiConfig.empty.title') }}</p>
+          <p class="text-xs text-gray-400 dark:text-gray-500">{{ t('settings.aiConfig.empty.description') }}</p>
+        </div>
+
+        <!-- 添加按钮 -->
+        <div class="border-t border-gray-200 px-4 py-3 dark:border-gray-700">
+          <UButton variant="soft" :disabled="isMaxConfigs" size="sm" @click="openAddModal">
+            <UIcon name="i-heroicons-plus" class="mr-1.5 h-3.5 w-3.5" />
+            {{ isMaxConfigs ? t('settings.aiConfig.maxConfigs') : t('settings.aiConfig.addConfig') }}
+          </UButton>
         </div>
       </div>
     </div>
-
-    <!-- 空状态 -->
-    <div
-      v-else
-      class="flex flex-col items-center justify-center rounded-lg border-2 border-dashed border-gray-200 py-8 dark:border-gray-700"
-    >
-      <UIcon name="i-heroicons-sparkles" class="h-10 w-10 text-gray-300 dark:text-gray-600" />
-      <p class="mt-3 text-sm text-gray-500 dark:text-gray-400">{{ t('settings.aiConfig.empty.title') }}</p>
-      <p class="text-xs text-gray-400 dark:text-gray-500">{{ t('settings.aiConfig.empty.description') }}</p>
-    </div>
-
-    <!-- 添加按钮 -->
-    <div class="flex justify-center">
-      <UButton variant="soft" :disabled="isMaxConfigs" size="sm" @click="openAddModal">
-        <UIcon name="i-heroicons-plus" class="mr-2 h-4 w-4" />
-        {{ isMaxConfigs ? t('settings.aiConfig.maxConfigs') : t('settings.aiConfig.addConfig') }}
-      </UButton>
-    </div>
   </div>
 
   <!-- 编辑/添加弹窗 -->

src/components/common/Settings/AISettingsTab.vue

@@ -2,6 +2,7 @@
 import { ref, computed } from 'vue'
 import { useI18n } from 'vue-i18n'
 import AIModelConfigTab from './AI/AIModelConfigTab.vue'
+import AIDefaultModelTab from './AI/AIDefaultModelTab.vue'
 import AIPromptConfigTab from './AI/AIPromptConfigTab.vue'
 import AIPreprocessTab from './AI/AIPreprocessTab.vue'
 // TODO: 向量模型暂时隐藏，待功能完善后恢复
@@ -19,6 +20,7 @@ const emit = defineEmits<{
 // 导航配置
 const navItems = computed(() => [
   { id: 'model', label: t('settings.tabs.aiConfig') },
+  { id: 'defaultModel', label: t('settings.tabs.aiDefaultModel') },
   // TODO: 向量模型暂时隐藏，待功能完善后恢复
   // { id: 'rag', label: t('settings.tabs.aiRAG') },
   { id: 'chat', label: t('settings.tabs.aiPrompt') },
@@ -66,6 +68,14 @@ void aiModelConfigRef.value
           <AIModelConfigTab ref="aiModelConfigRef" @config-changed="handleAIConfigChanged" />
         </div>
 
+        <!-- 分隔线 -->
+        <div class="border-t border-gray-200 dark:border-gray-700" />
+
+        <!-- 默认模型 -->
+        <div :ref="(el) => setSectionRef('defaultModel', el as HTMLElement)">
+          <AIDefaultModelTab @config-changed="handleAIConfigChanged" />
+        </div>
+
         <!-- TODO: 向量模型暂时隐藏，待功能完善后恢复 -->
         <!--
         <div class="border-t border-gray-200 dark:border-gray-700" />

src/i18n/locales/en-US/settings.json

@@ -4,6 +4,7 @@
     "basic": "General",
     "ai": "AI Settings",
     "aiConfig": "Model Service",
+    "aiDefaultModel": "Default Model",
     "aiRAG": "Vector Model",
     "aiPrompt": "Chat Config",
     "aiPreprocess": "Preprocess",
@@ -79,6 +80,21 @@
       "saveFailed": "Save failed"
     }
   },
+  "defaultModel": {
+    "title": "Default Model",
+    "noConfigs": "Please add a model configuration in \"Model Service\" first",
+    "selectProvider": "Select provider",
+    "selectModel": "Select model",
+    "assistantModel": {
+      "label": "Default Assistant Model",
+      "description": "Used for AI chat, tool calls, SQL assistant, and context compression"
+    },
+    "fastModel": {
+      "label": "Fast Model",
+      "description": "Used for session summary generation. Falls back to the default assistant model if not set",
+      "followAssistant": "Follow default assistant model"
+    }
+  },
   "aiConfig": {
     "title": "Model Services",
     "providerTitle": "Service Providers",

src/i18n/locales/ja-JP/settings.json

@@ -4,6 +4,7 @@
     "basic": "基本設定",
     "ai": "AI 設定",
     "aiConfig": "モデルサービス",
+    "aiDefaultModel": "デフォルトモデル",
     "aiRAG": "埋め込みモデル",
     "aiPrompt": "チャット設定",
     "aiPreprocess": "前処理",
@@ -79,6 +80,21 @@
       "saveFailed": "保存に失敗しました"
     }
   },
+  "defaultModel": {
+    "title": "デフォルトモデル",
+    "noConfigs": "先に「モデルサービス」でモデル設定を追加してください",
+    "selectProvider": "プロバイダーを選択",
+    "selectModel": "モデルを選択",
+    "assistantModel": {
+      "label": "デフォルトアシスタントモデル",
+      "description": "AIチャット、ツール呼び出し、SQLアシスタント、コンテキスト圧縮に使用"
+    },
+    "fastModel": {
+      "label": "高速モデル",
+      "description": "セッション要約生成に使用。未設定の場合はデフォルトアシスタントモデルを使用",
+      "followAssistant": "デフォルトアシスタントモデルに従う"
+    }
+  },
   "aiConfig": {
     "title": "モデルサービス",
     "providerTitle": "サービスプロバイダー",

src/i18n/locales/zh-CN/settings.json

@@ -4,6 +4,7 @@
     "basic": "基础设置",
     "ai": "AI 设置",
     "aiConfig": "模型服务",
+    "aiDefaultModel": "默认模型",
     "aiRAG": "向量模型",
     "aiPrompt": "对话配置",
     "aiPreprocess": "预处理",
@@ -79,6 +80,21 @@
       "saveFailed": "保存失败"
     }
   },
+  "defaultModel": {
+    "title": "默认模型",
+    "noConfigs": "请先在「模型服务」中添加模型配置",
+    "selectProvider": "选择提供商",
+    "selectModel": "选择模型",
+    "assistantModel": {
+      "label": "默认助手模型",
+      "description": "用于 AI 对话、工具调用、SQL 助手、上下文压缩"
+    },
+    "fastModel": {
+      "label": "快速模型",
+      "description": "用于会话摘要生成，未配置时使用默认助手模型",
+      "followAssistant": "跟随默认助手模型"
+    }
+  },
   "aiConfig": {
     "title": "模型服务",
     "providerTitle": "服务提供商",

src/i18n/locales/zh-TW/settings.json

@@ -4,6 +4,7 @@
     "basic": "基本設定",
     "ai": "AI 設定",
     "aiConfig": "模型服務",
+    "aiDefaultModel": "預設模型",
     "aiRAG": "向量模型",
     "aiPrompt": "聊天設定",
     "aiPreprocess": "前處理",
@@ -79,6 +80,21 @@
       "saveFailed": "儲存失敗"
     }
   },
+  "defaultModel": {
+    "title": "預設模型",
+    "noConfigs": "請先在「模型服務」中新增模型設定",
+    "selectProvider": "選擇提供商",
+    "selectModel": "選擇模型",
+    "assistantModel": {
+      "label": "預設助手模型",
+      "description": "用於 AI 對話、工具呼叫、SQL 助手、上下文壓縮"
+    },
+    "fastModel": {
+      "label": "快速模型",
+      "description": "用於會話摘要生成，未設定時使用預設助手模型",
+      "followAssistant": "跟隨預設助手模型"
+    }
+  },
   "aiConfig": {
     "title": "模型服務",
     "providerTitle": "服務提供商",

src/stores/aiChat.ts

@@ -50,6 +50,11 @@ export type ContentBlock =
     }
   | { type: 'skill'; skillId: string; skillName: string }
   | { type: 'error'; error: SerializedErrorInfo }
+  | {
+      type: 'summary_meta'
+      bufferBoundaryTimestamp: number
+      compressedMessageCount: number
+    }
 
 // 消息类型
 export interface ChatMessage {
@@ -920,7 +925,6 @@ export const useAIChatStore = defineStore('aiChatRuntime', () => {
           enabled: aiGlobalSettings.value.contextCompression?.enabled ?? false,
           tokenThresholdPercent: aiGlobalSettings.value.contextCompression?.tokenThresholdPercent ?? 75,
           bufferSizePercent: aiGlobalSettings.value.contextCompression?.bufferSizePercent ?? 20,
-          compressionModelConfigId: aiGlobalSettings.value.contextCompression?.compressionModelConfigId,
           maxToolResultPercent: aiGlobalSettings.value.contextCompression?.maxToolResultPercent ?? 50,
         }
       )

src/stores/llm.ts

@@ -12,13 +12,11 @@ export interface AIServiceConfigDisplay {
   apiKeySet: boolean
   model?: string
   baseUrl?: string
+  customModels?: Array<{ id: string; name: string }>
   createdAt: number
   updatedAt: number
 }
 
-/**
- * @deprecated 使用 ProviderDefinition 代替
- */
 export interface LLMProvider {
   id: string
   name: string
@@ -26,35 +24,29 @@ export interface LLMProvider {
   models: Array<{ id: string; name: string; description?: string }>
 }
 
-/**
- * LLM 配置状态管理
- */
 export const useLLMStore = defineStore('llm', () => {
   // ============ 状态 ============
 
   const configs = ref<AIServiceConfigDisplay[]>([])
-
-  /** @deprecated 使用 providerRegistry 代替 */
   const providers = ref<LLMProvider[]>([])
 
-  const activeConfigId = ref<string | null>(null)
+  const defaultAssistant = ref<{ configId: string; modelId: string } | null>(null)
+  const fastModel = ref<{ configId: string; modelId: string } | null>(null)
   const isLoading = ref(false)
   const isInitialized = ref(false)
 
-  /** 新模型系统：Provider Registry（内置 + 自定义） */
   const providerRegistry = ref<ProviderDefinition[]>([])
-
-  /** 新模型系统：Model Catalog（内置 + 自定义） */
   const modelCatalog = ref<ModelDefinition[]>([])
 
   // ============ 计算属性 ============
 
-  const activeConfig = computed(() => configs.value.find((c) => c.id === activeConfigId.value) || null)
-  const hasConfig = computed(() => !!activeConfigId.value)
+  const defaultAssistantConfig = computed(
+    () => configs.value.find((c) => c.id === defaultAssistant.value?.configId) || null
+  )
+  const fastModelConfig = computed(() => configs.value.find((c) => c.id === fastModel.value?.configId) || null)
+  const hasConfig = computed(() => !!defaultAssistant.value)
   const isMaxConfigs = computed(() => configs.value.length >= 99)
 
-  // ============ 新模型系统 computed ============
-
   function getProviderById(id: string): ProviderDefinition | undefined {
     return providerRegistry.value.find((p) => p.id === id)
   }
@@ -82,18 +74,20 @@ export const useLLMStore = defineStore('llm', () => {
   async function loadConfigs() {
     isLoading.value = true
     try {
-      const [providersData, registryData, catalogData, configsData, activeId] = await Promise.all([
+      const [providersData, registryData, catalogData, configsData, assistantSlot, fastSlot] = await Promise.all([
         window.llmApi.getProviders(),
         window.llmApi.getProviderRegistry(),
         window.llmApi.getModelCatalog(),
         window.llmApi.getAllConfigs(),
-        window.llmApi.getActiveConfigId(),
+        window.llmApi.getDefaultAssistantSlot(),
+        window.llmApi.getFastModelSlot(),
       ])
       providers.value = providersData
       providerRegistry.value = registryData
       modelCatalog.value = catalogData
       configs.value = configsData
-      activeConfigId.value = activeId
+      defaultAssistant.value = assistantSlot
+      fastModel.value = fastSlot
     } catch (error) {
       console.error('[LLM Store] 加载配置失败：', error)
     } finally {
@@ -101,17 +95,32 @@ export const useLLMStore = defineStore('llm', () => {
     }
   }
 
-  async function setActiveConfig(id: string): Promise<boolean> {
+  async function setDefaultAssistantModel(configId: string, modelId: string): Promise<boolean> {
     try {
-      const result = await window.llmApi.setActiveConfig(id)
+      const result = await window.llmApi.setDefaultAssistantModel(configId, modelId)
       if (result.success) {
-        activeConfigId.value = id
+        defaultAssistant.value = { configId, modelId }
         return true
       }
-      console.error('[LLM Store] 设置激活配置失败：', result.error)
+      console.error('[LLM Store] 设置默认助手模型失败：', result.error)
       return false
     } catch (error) {
-      console.error('[LLM Store] 设置激活配置失败：', error)
+      console.error('[LLM Store] 设置默认助手模型失败：', error)
+      return false
+    }
+  }
+
+  async function setFastModel(slot: { configId: string; modelId: string } | null): Promise<boolean> {
+    try {
+      const result = await window.llmApi.setFastModel(slot)
+      if (result.success) {
+        fastModel.value = slot
+        return true
+      }
+      console.error('[LLM Store] 设置快速模型失败：', result.error)
+      return false
+    } catch (error) {
+      console.error('[LLM Store] 设置快速模型失败：', error)
       return false
     }
   }
@@ -132,17 +141,20 @@ export const useLLMStore = defineStore('llm', () => {
     providers,
     providerRegistry,
     modelCatalog,
-    activeConfigId,
+    defaultAssistant,
+    fastModel,
     isLoading,
     isInitialized,
     // 计算属性
-    activeConfig,
+    defaultAssistantConfig,
+    fastModelConfig,
     hasConfig,
     isMaxConfigs,
     // 方法
     init,
     loadConfigs,
-    setActiveConfig,
+    setDefaultAssistantModel,
+    setFastModel,
     refreshConfigs,
     getProviderName,
     getProviderById,

src/stores/prompt.ts

@@ -20,7 +20,6 @@ export const usePromptStore = defineStore(
         enabled: true,
         tokenThresholdPercent: 75,
         bufferSizePercent: 20,
-        compressionModelConfigId: undefined as string | undefined,
         maxToolResultPercent: 50,
       },
     })
@@ -49,7 +48,6 @@ export const usePromptStore = defineStore(
           enabled: boolean
           tokenThresholdPercent: number
           bufferSizePercent: number
-          compressionModelConfigId?: string
           maxToolResultPercent?: number
         }
       }>