src/main/presenter/filePresenter/FileValidationService.ts (6)

54-61: Remove unreachable “no adapter found” branch

findAdapterForMimeType always returns a constructor (falls back to UnsupportFileAdapter), so this branch never executes. Simplify by removing it and relying on the supported/unsupported check below.

-      if (!AdapterConstructor) {
-        return {
-          isSupported: false,
-          mimeType,
-          error: 'File type not supported for knowledge base processing',
-          suggestedExtensions: this.getSupportedExtensions()
-        }
-      }

---

107-127: Tighten findAdapterForMimeType return type and document fallback

Since you always return a constructor (with UnsupportFileAdapter fallback), narrow the return type and update the doc to reflect this. This also justifies removing the dead branch above.

-  ): FileAdapterConstructor | undefined {
+  ): FileAdapterConstructor {
@@
-    // Return UnsupportFileAdapter as fallback
+    // Return UnsupportFileAdapter as fallback (ensures a constructor is always returned)
     return UnsupportFileAdapter

---

38-53: Normalize MIME type (strip parameters) before lookup

When detectors return values like text/plain; charset=utf-8, exact-match fails unnecessarily. Normalize once and use the normalized value downstream.

-      const mimeType = await detectMimeType(filePath)
+      const rawMime = await detectMimeType(filePath)
+      const mimeType = rawMime?.split(';', 1)[0].trim()

---

21-26: Make excludedAdapters immutable

Prevents accidental mutation at runtime.

-  private excludedAdapters = [
+  private readonly excludedAdapters = [

---

157-160: Use structured logging instead of console.error

Project guidelines call for structured logs with levels and context. Replace with your centralized logger (e.g., logger.error({ err, context: 'FileValidationService.getSupportedExtensions' })).

Also applies to: 208-209

---

67-75: Add machine-readable error codes; keep user-facing text unchanged

Extend FileValidationResult with an errorCode (e.g. KB_UNSUPPORTED_TYPE) in both “unsupported” branches and populate it alongside the existing fields. Then update all usages of the literal message 'File type not supported for knowledge base processing' (and its variant with adapter suffix) in:

• src/main/presenter/filePresenter/FileValidationService.ts (unsupported branches)
• test/main/presenter/FilePresenter.test.ts (line 104)
• test/main/presenter/FileValidationService.test.ts (lines 106, 118, 130, 172)
• src/shared/types/presenters/legacy.presenters.d.ts (lines 1586–1595)

So downstream code and telemetry consume the stable errorCode instead of relying on message text.

test/mocks/electron-toolkit-utils.ts (1)

1-3: Broaden mock to match real API shape (is.windows/macOS/linux) and freeze it.

Prevents test breakage where code checks platform flags; keeps mock immutable.

-export const is = {
-  dev: false
-}
+export const is = Object.freeze({
+  dev: false,
+  windows: process.platform === 'win32',
+  macOS: process.platform === 'darwin',
+  linux: process.platform === 'linux'
+})

vitest.config.ts (2)

8-10: Use exact-match aliases to avoid partial collisions and follow Vite’s recommended array form.

Avoids accidentally aliasing subpaths (e.g., 'electron/something').

-    alias: {
-      '@': resolve('src/main/'),
-        '@shared': resolve('src/shared'),
-        'electron': resolve('test/mocks/electron.ts'),
-        '@electron-toolkit/utils': resolve('test/mocks/electron-toolkit-utils.ts')
-    }
+    alias: [
+      { find: '@', replacement: resolve('src/main/') },
+      { find: '@shared', replacement: resolve('src/shared') },
+      { find: /^electron$/, replacement: resolve('test/mocks/electron.ts') },
+      { find: /^@electron-toolkit\/utils$/, replacement: resolve('test/mocks/electron-toolkit-utils.ts') }
+    ]

---

13-49: Ensure renderer tests get a DOM when needed.

If any tests under test/renderer/** access window/document, route them to happy-dom.

   test: {
     globals: true,
     environment: 'node', // 默认使用node环境，适合main进程测试
+    environmentMatchGlobs: [
+      ['test/renderer/**', 'happy-dom']
+    ],

src/shared/types/core/usage.ts (2)

3-16: Make payloads readonly to prevent accidental mutation across IPC boundaries.

Keeps UsageStats immutable when shared between processes.

-export interface UsageStats {
-  prompt_tokens: number
-  completion_tokens: number
-  total_tokens: number
-  context_length?: number
-}
+export interface UsageStats {
+  readonly prompt_tokens: number
+  readonly completion_tokens: number
+  readonly total_tokens: number
+  readonly context_length?: number
+}

---

10-16: Likewise, mark RateLimitInfo fields as readonly.

-export interface RateLimitInfo {
-  providerId: string
-  qpsLimit: number
-  currentQps: number
-  queueLength: number
-  estimatedWaitTime?: number
-}
+export interface RateLimitInfo {
+  readonly providerId: string
+  readonly qpsLimit: number
+  readonly currentQps: number
+  readonly queueLength: number
+  readonly estimatedWaitTime?: number
+}

.cursor/rules/provider-guidelines.mdc (1)

7-9: Add canonical type source path to avoid drift.

Point authors to the new shared union source.

 - Related implementation entry: [llmProviderPresenter](mdc:src/main/presenter/llmProviderPresenter/index.ts)
+ - Related implementation entry: [llmProviderPresenter](mdc:src/main/presenter/llmProviderPresenter/index.ts)
+ - Canonical event types: [LLM core events](mdc:src/shared/types/core/llm-events.ts)

docs/agent/message-architecture.md (4)

541-551: Clarify target vs current UI types; avoid listing deprecated tool_call_permission as a top-level type.

You already standardize it under type: 'action' + action_type. Adjust to prevent confusion.

-2. **工具调用相关**
-  - `tool_call`: 工具调用
-  - `tool_call_permission`: 工具调用权限请求
-  - `action`: 动作执行
+2. **工具调用相关**
+  - `tool_call`: 工具调用
+  - `action`（含权限请求等，通过 `action_type: 'tool_call_permission'` 等细分）

---

489-500: Minor consistency: name the action payload via shared types.

Reference RateLimitInfo explicitly to reinforce schema reuse.

-- 速率限制：`rate_limit` → `{ type: 'action', action_type: 'rate_limit', extra: RateLimitInfo, status: 'error' | 'pending' }`
+- 速率限制：`rate_limit` → `{ type: 'action', action_type: 'rate_limit', extra: RateLimitInfo, status: 'error' | 'pending' }` （`RateLimitInfo` 来自 `src/shared/types/core/usage.ts`）

---

545-545: Wording nit (zh-CN).

“图片内容”更自然；当前表述读起来别扭。

-  - `image`: 图片内容
+  - `image`: 图片内容

---

725-746: Reinforce presenter split note with exact doc link.

Keeps docs aligned with the PR’s final layout.

-更多细节与任务分解，参见《Presenter 类型拆分计划》：`docs/agent/presenter-split-plan.md`。
+更多细节与任务分解，参见《Presenter 类型拆分计划》：`docs/agent/presenter-split-plan.md`（已对应 `src/shared/types/**` 的新结构）。

docs/agent/presenter-split-plan.md (3)

10-11: Add a language to the fenced code block (markdownlint MD040).

Use "text" for the directory listing to satisfy MD040 and improve rendering.

-```
+```text
 src/shared/
   types/
     core/
       llm-events.ts            // LLMCoreStreamEvent 判别联合 + 工厂 + 守卫

---

20-36: Example structure exceeds the “≤ 8 files per dir” guideline—split into subfolders.

Consider grouping presenters (e.g., auth/, data/, llm/, ux/) to model the intended acyclic, shallow tree.

---

68-75: Strong approval: clear layering and dependency constraints.

The “presenters depend downward on core; UI avoids llm-events” rule is crisp and will prevent cycles. Keep it enforced.

You can codify acyclicity with dependency-cruiser and fail CI on violations. I can draft the config if helpful.

test/mocks/electron.ts (1)

36-51: Optional: add BrowserWindow.destroy for parity.

Some codepaths call destroy(); adding a no-op improves resilience without side effects.

 export const BrowserWindow = function () {
   return {
     loadURL: (_: string) => {},
     loadFile: (_: string) => {},
     on: (_: string, __: any) => {},
     webContents: {
       send: (_: string, __?: any) => {},
       on: (_: string, __: any) => {},
       isDestroyed: () => false
     },
     isDestroyed: () => false,
+    destroy: () => {},
     close: () => {},
     show: () => {},
     hide: () => {}
   }
 } as unknown as { new (...args: any[]): any }

src/shared/types/core/mcp.ts (2)

14-18: Deduplicate server shape and widen icons to string | string[].

Many providers expose one or multiple icons. Factor a reusable MCPServerInfo.

+export interface MCPServerInfo {
+  name: string
+  icons: string | string[]
+  description: string
+}
 
 export interface MCPToolDefinition {
   type: string
   function: {
     name: string
     description: string
     parameters: {
       type: string
       properties: Record<string, unknown>
       required?: string[]
     }
   }
-  server: {
-    name: string
-    icons: string
-    description: string
-  }
+  server: MCPServerInfo
 }
 
 export interface MCPToolCall {
   id: string
   type: string
   function: {
     name: string
     arguments: string
   }
-  server?: {
-    name: string
-    icons: string
-    description: string
-  }
+  server?: MCPServerInfo
 }

Also applies to: 28-33

---

8-13: Consider JSON Schema typing for parameters.

If feasible, type parameters as JSONSchema7 for better editor support and validation interop.

src/main/presenter/llmProviderPresenter/index.ts (3)

304-332: Avoid race by awaiting stream shutdown before mutating providers.

setProviders stops streams but doesn’t await the abort/cleanup path; make it async and await stopAllStreams.

-  setProviders(providers: LLM_PROVIDER[]): void {
-    // 如果有正在生成的流，先停止它们
-    this.stopAllStreams()
+  async setProviders(providers: LLM_PROVIDER[]): Promise<void> {
+    // Stop all active streams before mutating provider maps
+    await this.stopAllStreams()

Follow-up: verify ILlmProviderPresenter and call sites tolerate the async signature.

---

137-140: Prefer structured logging with levels over console.log.

Adopt a logger (INFO/WARN/ERROR/DEBUG) and include context fields; aligns with repo logging guidelines.

---

1834-1841: QPS reporting is binary (0/1); consider a rolling window for accuracy.

Not urgent, but a short sliding window (e.g., last 10s) yields more useful UI metrics.

src/shared/types/index.d.ts (1)

1-2: Mark legacy barrel as deprecated to guide migrations.

Add a deprecation note so IDEs hint callers to move to per-presenter exports.

-// Temporary barrel: keep legacy presenters to avoid breaking changes during migration
+// Temporary barrel: keep legacy presenters to avoid breaking changes during migration
+/** @deprecated Import types from src/shared/types/presenters/*.presenter.d.ts instead. */
 export type * from './presenters/legacy.presenters'

test/main/presenter/llmProviderPresenter.test.ts (3)

6-39: Prefer shared Electron mock via Vitest alias

Inline mocking works, but centralizing in a shared mock (e.g., via vitest.config.ts alias) avoids duplication and drift across suites.

---

46-48: eventBus: keep a single send API

You now expose both sendToRenderer and send. If production code uses only one, mocking both is fine but consider asserting/using the same one consistently to prevent API drift.

---

124-132: ModelConfig.type should use enum, not string

If ModelConfig.type is an enum (e.g., ModelType.Chat), returning 'chat' risks type drift. Use the enum for stronger typing.

Apply this patch:

-    mockConfigPresenter.getModelConfig = vi.fn().mockReturnValue({
+    mockConfigPresenter.getModelConfig = vi.fn().mockReturnValue({
       maxTokens: 4096,
       contextLength: 4096,
       temperature: 0.7,
       vision: false,
       functionCall: false,
-      reasoning: false,
-      type: 'chat'
+      reasoning: false,
+      type: ModelType.Chat
     })

Also add:

import { ModelType } from '../../../src/shared/model'

src/main/presenter/llmProviderPresenter/providers/awsBedrockProvider.ts (3)

725-731: Unify all event emissions via createStreamEvent

You’ve switched usage/stop/error to the factory—finish the job for tool/text/reasoning for consistency and future-proofing.

Example patches:

-            yield {
-              type: 'tool_call_start',
-              tool_call_id: currentToolId,
-              tool_call_name: currentToolName
-            }
+            yield createStreamEvent.toolCallStart(currentToolId, currentToolName)

-            yield {
-              type: 'tool_call_chunk',
-              tool_call_id: currentToolId,
-              tool_call_arguments_chunk: partialJson
-            }
+            yield createStreamEvent.toolCallChunk(currentToolId, partialJson)

-            yield {
-              type: 'tool_call_end',
-              tool_call_id: currentToolId,
-              tool_call_arguments_complete: argsString
-            }
+            yield createStreamEvent.toolCallEnd(currentToolId, argsString)

-            yield {
-              type: 'reasoning',
-              reasoning_content: thinkingText
-            }
+            yield createStreamEvent.reasoning(thinkingText)

-                yield { type: 'text', content: parts[0] }
+                yield createStreamEvent.text(parts[0])

(and similarly for the other text/reasoning branches)

Also applies to: 744-748, 801-805, 825-829, 841-845, 857-861, 872-875, 878-881, 884-887

---

94-99: Logs/comments language and structure

Several logs/comments are in Chinese and use plain console.*. Project guidelines require English logs and structured logging with levels and context. Please switch to the project logger, redact sensitive data, and translate messages to English.

Also applies to: 163-200, 621-623, 639-644

---

690-692: Nit: awaiting response.body

Depending on AWS SDK versions, response.body is already an async iterable. await response.body may be unnecessary. Confirm the runtime type to avoid subtle issues.

test/renderer/message/messageBlockSnapshot.test.ts (2)

114-219: Consider adding usage/stop event mapping snapshots

Your mapper does not cover usage or stop events. Add cases or explicitly document ignoring them to prevent silent drops in renderer.

---

5-8: Comments should be in English

Per repo standards, translate comments to English for consistency.

src/main/presenter/llmProviderPresenter/providers/anthropicProvider.ts (3)

1234-1236: English-only user-facing errors

Return English-only error strings to match guidelines and keep UI consistent.

-      yield createStreamEvent.error(error instanceof Error ? error.message : '未知错误')
+      yield createStreamEvent.error(error instanceof Error ? error.message : 'Unknown error')

---

1388-1396: Emit reasoning events in OAuth stream (parity with API-key path)

Currently only text is emitted here. For consistency, parse <think>…</think> blocks and emit reasoning chunks like in coreStream.

I can provide a small helper to split/route think/text deltas if helpful.

---

1229-1236: Stop reason derivation could be more precise

Using toolUseDetected as a proxy for stop reason is coarse. Track the provider’s explicit stop reason (e.g., from message_delta.stop_reason or a final stop event) and forward it.

Happy to draft a minimal patch that records lastStopReason and uses it in createStreamEvent.stop.

Also applies to: 1418-1423

src/shared/types/presenters/thread.presenter.d.ts (2)

95-118: Translate comments to English

Comments are part of the public contract; keep them in English per guidelines.

I can submit a quick pass converting these to concise English.

Also applies to: 133-149, 154-169, 172-184

---

160-163: Nullable active search engine

If no engine is set, returning a non-null type forces dummy values.

-  getActiveSearchEngine(): Promise<SearchEngineTemplate>
+  getActiveSearchEngine(): Promise<SearchEngineTemplate | null>

src/shared/types/core/agent-events.ts (1)

10-11: Loosen type for tool call response payload

Allow any JSON value; current union is narrow and inconsistent across tools.

-  tool_call_response?: string | Array<unknown>
+  tool_call_response?: unknown

test/renderer/message/eventMappingTable.test.ts (11)

6-7: Comments should be in English for consistency.

Based on the coding guidelines, comments should be written in English. The Chinese comments throughout this test file should be translated to English.

-/**
- * 表驱动的事件→UI映射契约测试
- * 基于 docs/agent/message-architecture.md 中的映射表
- */
+/**
+ * Table-driven event → UI mapping contract tests
+ * Based on mapping table in docs/agent/message-architecture.md
+ */

---

34-35: Translate Chinese comment to English.

-    notes: 'Markdown 渲染，需安全处理'
+    notes: 'Markdown rendering, requires safe handling'

---

52-53: Translate Chinese comment to English.

-    notes: '可选 reasoning_time'
+    notes: 'Optional reasoning_time'

---

77-78: Translate Chinese comments to English.

Line 77-78:

-    notes: '新建或激活同 id 块'
+    notes: 'Create or activate block with same id'

Line 98-99:

-    notes: '追加参数/中间输出'
+    notes: 'Append parameters/intermediate output'

Line 121-122:

-    notes: '终态，写入 response'
+    notes: 'Final state, write response'

Line 151-152:

-    notes: '待用户授权，后续置 granted/denied'
+    notes: 'Pending user authorization, then set to granted/denied'

Also applies to: 98-99, 121-122, 151-152

---

182-183: Translate Chinese comments to English.

Line 182-183:

-    notes: '可根据严重度置 error'
+    notes: 'Can set to error based on severity'

Line 206-207:

-    notes: 'Base64，大小与类型受限'
+    notes: 'Base64, limited size and type'

Line 224-225:

-    notes: '错误块仅由错误事件驱动'
+    notes: 'Error blocks are only driven by error events'

Also applies to: 206-207, 224-225

---

238-239: Translate Chinese comment to English.

-    notes: '用于收尾：将残留 loading 置为 error/cancel'
+    notes: 'For cleanup: mark remaining loading blocks as error/cancel'

---

259-260: Translate Chinese comment to English.

-          // 结束事件不生成UI块
+          // End event does not generate UI blocks

---

270-272: Translate Chinese comment to English.

-        // 验证必需字段
+        // Verify required fields

---

274-276: Translate Chinese comments to English.

Line 274-276:

-        // 验证内容字段
+        // Verify content field

Line 278-281:

-        // 验证 action_type
+        // Verify action_type

Line 284-286:

-        // 验证 tool_call 对象
+        // Verify tool_call object

Line 289-291:

-        // 验证 image_data
+        // Verify image_data

Line 294-296:

-        // 验证 extra 字段
+        // Verify extra field

Also applies to: 278-281, 284-286, 289-291, 294-296

---

403-406: Translate Chinese comment to English.

-      // 验证时间戳递增（允许相等，因为可能在同一毫秒内）
+      // Verify timestamp is non-decreasing (equality allowed as events may occur within same millisecond)

---

472-472: Translate Chinese comment to English.

-// Helper functions (same as in rendererContract.test.ts)
+// Helper functions (same as in rendererContract.test.ts)

Actually, this comment is already in English, but it references duplicate code. This is a code duplication issue that should be addressed.

src/main/presenter/llmProviderPresenter/providers/geminiProvider.ts (1)

886-888: Consider adding error handling for the generator delegation.

When delegating to handleImageGenerationStream, consider wrapping it in a try-catch to ensure any errors are properly converted to stream events.

     // If image generation model, use special handling
     if (isImageGenerationModel) {
-      yield* this.handleImageGenerationStream(messages, modelId, temperature, maxTokens)
-      return
+      try {
+        yield* this.handleImageGenerationStream(messages, modelId, temperature, maxTokens)
+        return
+      } catch (error) {
+        yield createStreamEvent.error(error instanceof Error ? error.message : 'Image generation failed')
+        yield createStreamEvent.stop('error')
+        return
+      }
     }

test/renderer/message/rendererContract.test.ts (2)

6-8: Translate Chinese comment to English for consistency.

According to the coding guidelines, comments should be written in English.

-/**
- * 事件 → UI 块映射契约测试
- * 基于 docs/agent/message-architecture.md 中的映射表
- */
+/**
+ * Event → UI block mapping contract tests
+ * Based on mapping table in docs/agent/message-architecture.md
+ */

---

430-596: Consider improving type safety and error handling in helper functions.

The helper functions could benefit from more explicit type handling and better error messages.

Consider these improvements:

1. Add explicit return type annotations
2. Improve error messages with more context
3. Add validation for required fields

Example for mapEventToBlock:

function mapEventToBlock(event: LLMAgentEvent): AssistantMessageBlock {
  const timestamp = Date.now()

  switch (event.type) {
    case 'error':
      return {
        type: 'error',
        content: event.data.error,
        status: 'error',
        timestamp
      }
    
    case 'response':
      return mapResponseEvent(event.data, timestamp)
    
    case 'end':
      throw new Error(`End events do not generate blocks`)
    
    default:
      throw new Error(`Unsupported event type: ${(event as any).type}`)
  }
}

function mapResponseEvent(data: any, timestamp: number): AssistantMessageBlock {
  // Extract the response mapping logic here for better organization
  // ...
}

docs/agent/implementation-tasks.md (1)

44-51: Fix dangling trailing line and checklist formatting

There is a stray "51" at the end and the checklist block lacks a terminating newline. Clean it up to avoid rendering glitches in Markdown viewers.

Apply:

-51
+

src/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.ts (3)

605-606: Fix type for stopReason

Indexing a discriminated union by a non-common key is fragile. Use the factory’s parameter type.

Apply:

-    const stopReason: LLMCoreStreamEvent['stop_reason'] = 'complete'
+    type StopReason = Parameters<typeof createStreamEvent.stop>[0]
+    const stopReason: StopReason = 'complete'

---

685-893: Reduce event spam: coalesce single-character text/reasoning emits

Per-char yields flood IPC and degrade UI perf. Buffer and flush by size/time or on whitespace boundaries.

I can provide a minimal coalescing helper with threshold/timer if you want it integrated here.

Also applies to: 925-937

---

175-176: Avoid @ts-ignore in formatMessages

Prefer precise typing/narrowing to keep strict mode intact.

Example:

-            //@ts-ignore api 和 sdk 定义不同
-            type: msg.role === 'assistant' ? 'output_text' : 'input_text',
+            type: (msg.role === 'assistant' ? 'output_text' : 'input_text') as
+              | OpenAI.Responses.MessageContentText['type']
+              | OpenAI.Responses.InputText['type'],

Also applies to: 183-185

src/main/presenter/llmProviderPresenter/providers/openAICompatibleProvider.ts (2)

971-989: Coalesce text/reasoning emission to reduce IPC chatter

Frequent single-character emits harm performance. Buffer to threshold or newline, then flush.

I can propose a small flush helper with setTimeout-based coalescing if desired.

Also applies to: 985-989, 708-746, 748-758

---

59-68: Use English in code comments/logs

Per repo guidelines, keep comments/logs in English for consistency. A quick pass to translate the remaining Chinese comments will help others.

I can submit a follow-up patch translating these blocks on request.

Also applies to: 375-377, 599-607, 649-656

src/shared/types/core/chat.ts (2)

16-21: Constrain mention categories to a strict union.

category: string is too loose and allows invalid values. Use a literal union to match downstream handling (resources | tools | files | prompts).

-export type UserMessageMentionBlock = {
+export type UserMessageMentionBlock = {
   type: 'mention'
   content: string
   id: string
-  category: string
+  category: 'resources' | 'tools' | 'files' | 'prompts'
 }

---

48-95: Narrow extra to a discriminated shape.

Record<string, string | number | object[] | boolean> hampers type safety. Consider an ExtraByType map keyed by type and action_type.

src/shared/types/presenters/index.d.ts (1)

36-37: Temporary legacy re-exports noted.

Keep a deprecation note/timeline to remove legacy.presenters after dependent code is updated.

src/shared/types/core/llm-events.ts (1)

145-149: Optional: expose more narrow type guards.

Consider adding guards for frequently-branching kinds (usage, stop, tool_call_*). Keeps presenter code cleaner.

src/shared/types/presenters/llmprovider.presenter.d.ts (1)

73-79: Comment language consistency.

Non-English comments appear. Project guideline requires English logs/comments.

src/shared/types/presenters/legacy.presenters.d.ts (2)

1223-1236: Avoid depending on third-party SDK namespaces in shared d.ts.

Types like OpenAI.Responses.Tool and AnthropicTool couple your shared surface to specific SDK versions and may not resolve in all environments.

Prefer local minimal interfaces or import('openai').OpenAI['Responses']['Tool'] style, guarded behind type-only imports, or replace with unknown.

---

1-1852: Comments language consistency.

There are many non-English comments. The repository guideline requires English comments/logs.

test/main/presenter/llmProviderPresenter/coreEvents.test.ts (3)

28-51: Add end-without-args coverage for tool_call_end.
Real streams may emit tool_call_end without tool_call_arguments_complete. Add a case to assert it’s undefined.

Apply this diff to extend the test:

     // End event
-    const endEvent = createStreamEvent.toolCallEnd(toolId, args)
+    const endEvent = createStreamEvent.toolCallEnd(toolId, args)
     expect(endEvent.type).toBe('tool_call_end')
     expect(endEvent.tool_call_id).toBe(toolId)
     expect(endEvent.tool_call_arguments_complete).toBe(args)
+
+    // End event without final args
+    const endEventNoArgs = createStreamEvent.toolCallEnd(toolId)
+    expect(endEventNoArgs.type).toBe('tool_call_end')
+    expect(endEventNoArgs.tool_call_id).toBe(toolId)
+    expect(endEventNoArgs.tool_call_arguments_complete).toBeUndefined()

---

62-72: Consider cumulative-usage scenario.
Providers may emit multiple usage events; add a test that aggregates two usage events and verifies totals.

   it('should create usage events correctly', () => {
@@
   })
+
+  it('should handle multiple usage events cumulatively', () => {
+    const u1 = { prompt_tokens: 3, completion_tokens: 4, total_tokens: 7 }
+    const u2 = { prompt_tokens: 2, completion_tokens: 1, total_tokens: 3 }
+    const e1 = createStreamEvent.usage(u1)
+    const e2 = createStreamEvent.usage(u2)
+    expect(e1.usage.total_tokens + e2.usage.total_tokens).toBe(10)
+  })

---

74-80: Parameterize stop reasons to guard future additions.
Exercise all union members to prevent regressions.

- it('should create stop events correctly', () => {
-   const stopReason = 'complete'
-   const event = createStreamEvent.stop(stopReason)
-   expect(event.type).toBe('stop')
-   expect(event.stop_reason).toBe(stopReason)
- })
+ it.each(['tool_use', 'max_tokens', 'stop_sequence', 'error', 'complete'] as const)(
+   'should create stop events correctly: %s',
+   (reason) => {
+     const event = createStreamEvent.stop(reason)
+     expect(event.type).toBe('stop')
+     expect(event.stop_reason).toBe(reason)
+   }
+ )

src/shared/presenter.d.ts (1)

1-2: Limit re-export surface to presenter typings only.
Re-exporting ./types/index might accidentally widen @shared/presenter’s API. Prefer re-exporting only presenter-facing types.

-// Compatibility stub: keep '@shared/presenter' import path stable during refactor
-export * from './types/index'
+// Compatibility stub: keep '@shared/presenter' import path stable during refactor
+// Deprecated: prefer importing from '@shared/types/presenters/*' going forward.
+/**
+ * @deprecated Use '@shared/types/presenters/*' instead. This stub will be removed after migration.
+ */
+export * from './types/presenters'

test/renderer/message/performanceEvaluation.test.ts (9)

5-7: Comments must be in English.
Project guideline requires English logs/comments.

-/**
- * 性能评估测试 - 验证大文本和图像场景下的事件处理性能
- */
+/**
+ * Performance evaluation tests — validate event processing under large text/image scenarios.
+ */

---

98-125: Avoid brittle wall-clock thresholds; make perf limits environment-aware.
Hard caps like <10ms are flaky on CI. Gate thresholds or relax based on CI/hardware.

-// Processing should be fast (< 10ms for 50KB text)
-expect(processingTime).toBeLessThan(10)
+// Processing should be fast; allow headroom on CI
+const isCI = process.env.CI === 'true'
+expect(processingTime).toBeLessThan(isCI ? 30 : 10)

---

156-189: Calibrate image payload size precisely to ~1MB.
Repeating a long base64 string 10k times likely exceeds 1MB by a lot. Compute repeats to target ~1MB to keep test stable.

-const largeImageData =
-  'data:image/png;base64,' +
-  'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg=='.repeat(
-    10000
-  )
+const unit =
+  'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg=='
+// Target ~1MB base64; 1 char ≈ 1 byte
+const targetBytes = 1024 * 1024
+const repeats = Math.ceil(targetBytes / unit.length)
+const largeImageData = 'data:image/png;base64,' + unit.repeat(repeats)

---

226-258: “Concurrent” test isn’t concurrent; rename or yield to the loop.
Promises here execute synchronously per worker. Either rename the test or add a setTimeout(0) yield inside each worker to simulate interleaving.

-it('should handle concurrent event processing simulation', async () => {
+it('should handle parallel-style event processing simulation', async () => {
@@
-        return new Promise<number>((resolve) => {
+        return new Promise<number>((resolve) => {
+          setTimeout(() => {
             const startTime = performance.now()
@@
-          const blocks = processEventBatch(events)
+          const blocks = processEventBatch(events)
@@
-          resolve(endTime - startTime)
-        })
+          resolve(endTime - startTime)
+          }, 0)
+        })

---

9-52: Map rate_limit events for UI completeness.
Add a branch for rate_limit to keep parity with the new core event type.

   if (event.type === 'response') {
     const { data } = event
@@
-    if (data.tool_call) {
+    if (data.rate_limit) {
+      return {
+        type: 'info',
+        status: 'success',
+        timestamp,
+        // include minimal payload expected by the UI; adjust if you have a dedicated block
+        content: `Rate limited by ${data.rate_limit.providerId}: qps ${data.rate_limit.currentQps}/${data.rate_limit.qpsLimit}`
+      }
+    }
+
+    if (data.tool_call) {

---

9-96: Prefer importing the real mapper to avoid drift.
If a production mapper exists (e.g., renderer message mapping), import it instead of a bespoke test helper so perf reflects real code.

I can wire this test to the real mapping module and adjust fixtures—want a quick patch?

---

191-223: Batch thresholds: add CI guardrails.
Processing 100 images <50ms can be flaky. Consider a CI-aware threshold similar to the earlier suggestion.

-// Processing 100 images should be fast (< 50ms)
-expect(processingTime).toBeLessThan(50)
+const isCI = process.env.CI === 'true'
+expect(processingTime).toBeLessThan(isCI ? 120 : 50)

---

260-318: Mixed-event perf threshold: relax slightly on CI.
Maintain intent, reduce flakiness.

-// Processing 500 mixed events should be fast (< 80ms)
-expect(processingTime).toBeLessThan(80)
+const isCI = process.env.CI === 'true'
+expect(processingTime).toBeLessThan(isCI ? 160 : 80)

---

321-351: Long-run loop: keep a safety margin on slow runners.
Minor relaxation makes this robust across agents.

-// Processing 5000 events across 100 iterations should complete in reasonable time
-expect(totalTime).toBeLessThan(500)
+// Processing 5000 events across 100 iterations should complete in reasonable time
+const isCI = process.env.CI === 'true'
+expect(totalTime).toBeLessThan(isCI ? 1200 : 500)

src/main/presenter/threadPresenter/index.ts (2)

558-565: Critical: auto-granting permission is a security bug (repeat of prior review)

Do not convert pending tool_call_permission to granted in finalizeLastBlock. Keep it pending until explicit user action.

Apply:

-      if (
-        lastBlock.type === 'action' &&
-        lastBlock.action_type === 'tool_call_permission' &&
-        lastBlock.status === 'pending'
-      ) {
-        lastBlock.status = 'granted'
-        return
-      }
+      if (
+        lastBlock.type === 'action' &&
+        lastBlock.action_type === 'tool_call_permission' &&
+        lastBlock.status === 'pending'
+      ) {
+        return // leave pending; UI/user must explicitly grant
+      }

---

605-612: Critical: same auto-grant bug in local finalize helper

Same fix needed here.

Apply:

-          if (
-            lastBlock.type === 'action' &&
-            lastBlock.action_type === 'tool_call_permission' &&
-            lastBlock.status === 'pending'
-          ) {
-            lastBlock.status = 'granted'
-            return
-          }
+          if (
+            lastBlock.type === 'action' &&
+            lastBlock.action_type === 'tool_call_permission' &&
+            lastBlock.status === 'pending'
+          ) {
+            return // leave pending; explicit user grant required
+          }

src/main/presenter/threadPresenter/index.ts (4)

466-479: Tighten types for contentBlock and eventData; avoid any

Use discriminated unions to type content blocks and emitted events. Example:

-      let contentBlock: any
+      type ContentBlock = Extract<AssistantMessageBlock, { type: 'content' }>
+      let contentBlock: ContentBlock

And define an explicit interface for the RESPONSE payload instead of any.

Also applies to: 495-505

---

481-483: Typo in comment

"每次处琅5个" → "每次处理5个".

-      // 批量处理分块，每次处琅5个
+      // 批量处理分块，每次处理 5 个

---

100-107: Adopt structured logging and English log messages per repo guidelines

Replace console.* with a structured logger (levels, timestamps, error codes) and write logs in English. Avoid leaking sensitive data in logs.

Also applies to: 169-171, 460-464, 2970-3009

---

820-855: Avoid repeating 'tool_call_permission' string; use a central enum/const

Define a PresenterActionType enum or const literal in shared types to prevent drift and typos.

Also applies to: 3733-3770, 3835-3861, 4148-4173

src/main/presenter/llmProviderPresenter/providers/openAIResponsesProvider.ts (9)

25-40: Deduplicate OPENAI_REASONING_MODELS.

'o1-pro' appears twice. Remove the duplicate to avoid confusion in future condition checks.

 const OPENAI_REASONING_MODELS = [
   'o4-mini',
-  'o1-pro',
   'o3',
   'o3-pro',
   'o3-mini',
   'o3-preview',
   'o1-mini',
   'o1-pro',
   'o1-preview',
   'o1',
   'gpt-5',
   'gpt-5-mini',
   'gpt-5-nano',
   'gpt-5-chat'
 ]

---

484-487: Event wrapping for image path + usage looks consistent.

Using imageData/usage/stop wrappers aligns with the new LLMCoreStreamEvent model. Consider logging structured metadata (providerId, modelId) alongside errors/warnings for observability.

Also applies to: 491-499, 505-510, 513-521

---

614-674: Use createStreamEvent wrappers for tool-call events for consistency.

You already centralized other events. Use factory helpers for tool_call_start/chunk/end too.

-              yield {
-                type: 'tool_call_start',
-                tool_call_id: id,
-                tool_call_name: item.name
-              }
+              yield createStreamEvent.toolCallStart(id, item.name)
...
-            yield {
-              type: 'tool_call_chunk',
-              tool_call_id: itemId,
-              tool_call_arguments_chunk: delta
-            }
+            yield createStreamEvent.toolCallChunk(itemId, delta)
...
-            yield {
-              type: 'tool_call_end',
-              tool_call_id: itemId,
-              tool_call_arguments_complete: argsData
-            }
+            yield createStreamEvent.toolCallEnd(itemId, argsData)

Apply similarly at Lines 667-671, 761-774, 809-822, 970-973.

Also applies to: 807-823, 958-974

---

676-891: Reduce per-character event emissions to avoid eventbus thrash.

You emit reasoning/text events per char in several branches. Batch into small chunks (e.g., 16–64 chars or debounce 10–25ms) to reduce IPC overhead without harming UX.

-              thinkBuffer += char
-              yield createStreamEvent.reasoning(char)
+              thinkBuffer += char
+              if (thinkBuffer.length >= 32) {
+                yield createStreamEvent.reasoning(thinkBuffer)
+                thinkBuffer = ''
+              }

And flush any remaining buffered text/reasoning on boundaries and at finalization.

---

146-206: Remove @ts-ignore by aligning content types.

The dual 'input_text'/'output_text' workaround is fine, but relying on @ts-ignore weakens guarantees. Consider narrowing types via conditional construction or a helper that maps ChatMessage to the SDK’s exact message content types.

---

49-58: Use English for comments per repo guidelines.

Comments are in Chinese in several places; repo rules require English logs/comments.

-// 添加支持的图片尺寸常量
+// Supported image sizes
-// 添加可设置尺寸的模型列表
+// Models that support size configuration
- * 核心流处理方法，根据模型类型分发请求。
+ * Core streaming handler: delegates by model type.

Also applies to: 139-206, 311-336

---

440-443: Prefer async cleanup and ensure deletion in finally.

fs.unlinkSync blocks the main thread. Use fs.promises.unlink and move cleanup to a finally to guarantee deletion even if downstream throws.

-        try {
-          fs.unlinkSync(imagePath)
-        } catch (e) {
-          console.error('[handleImgGeneration] Failed to delete temporary file:', e)
-        }
+        try {
+          await fs.promises.unlink(imagePath)
+        } catch (e) {
+          console.error('[handleImgGeneration] Failed to delete temporary file:', e)
+        }

---

112-124: Wrap model fetch in try/catch here or document throw contract.

fetchProviderModels throws on network errors. Either handle and log here (preferred per guidelines) or annotate that callers must catch.

---

125-137: Wrap the models.list call in try/catch. The OpenAI SDK v4 supports per-request timeout (ms) overrides, so add error handling (e.g., catch APIConnectionTimeoutError and other failures) around await this.openai.models.list({ timeout }) to handle timeouts and request errors gracefully.

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

💡 Knowledge Base configuration:

• MCP integration is disabled by default for public repositories
• Jira integration is disabled by default for public repositories
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You can enable these sources in your CodeRabbit configuration.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/**/*.ts : Maintain one Presenter per functional domain under src/main/presenter/

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations must use a `coreStream` method that yields standardized stream events to decouple the main loop from provider-specific details.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/streamEvents.ts : Standardized stream events should conform to the `LLMCoreStreamEvent` interface, ideally defined in a shared file such as `src/main/presenter/llmProviderPresenter/streamEvents.ts`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Each LLM provider must implement a coreStream method following the standardized event interface

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should aggregate and yield usage events as part of the standardized stream.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield text events in the standardized format.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop should send standardized `STREAM_EVENTS` (`RESPONSE`, `END`, `ERROR`) to the frontend via `eventBus`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield reasoning events in the standardized format when applicable.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : All provider implementations must parse provider-specific data chunks and yield standardized events for text, reasoning, tool calls, usage, errors, stop reasons, and image data.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield events asynchronously using the async generator pattern.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield image data events in the standardized format when applicable.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : All provider implementations must parse provider-specific data chunks and yield standardized events for text, reasoning, tool calls, usage, errors, stop reasons, and image data.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/streamEvents.ts : Standardized stream events should conform to the `LLMCoreStreamEvent` interface, ideally defined in a shared file such as `src/main/presenter/llmProviderPresenter/streamEvents.ts`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations must use a `coreStream` method that yields standardized stream events to decouple the main loop from provider-specific details.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should aggregate and yield usage events as part of the standardized stream.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop should send standardized `STREAM_EVENTS` (`RESPONSE`, `END`, `ERROR`) to the frontend via `eventBus`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield tool call events (`tool_call_start`, `tool_call_chunk`, `tool_call_end`) in the standardized format.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Each LLM provider must implement a coreStream method following the standardized event interface

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : The `coreStream` method in each Provider must perform a single streaming API request per conversation round and must not contain multi-round tool call loop logic.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield reasoning events in the standardized format when applicable.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Each file in `src/main/presenter/llmProviderPresenter/providers/*.ts` should handle interaction with a specific LLM API, including request/response formatting, tool definition conversion, native/non-native tool call management, and standardizing output streams to a common event format.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : `src/main/presenter/llmProviderPresenter/index.ts` should manage the overall Agent loop, conversation history, tool execution via `McpPresenter`, and frontend communication via `eventBus`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop should buffer text content, handle tool call events, format tool results for the next LLM call, and manage conversation continuation logic.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : Implement the Agent Loop layer in llmProviderPresenter/index.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield image data events in the standardized format when applicable.

docs/agent/message-architecture.md (1)

221-224: Deduplicate imports: keep the new shared path only.

Remove the stale example import from the old local path.

-// 使用工厂函数创建事件（推荐）
-import { createStreamEvent } from './llm-core-events'
-
 import { createStreamEvent } from '@shared/types/core/llm-events'

src/main/presenter/llmProviderPresenter/index.ts (1)

1636-1640: Remove commented-out logs or guard behind a debug flag.

Dead code adds noise. Prefer a debug logger if you want to keep this locally.

-      // console.log('pullOllamaModels', {
-      //   eventId: 'pullOllamaModels',
-      //   modelName: modelName,
-      //   ...progress
-      // })

docs/agent/message-architecture.md (3)

13-21: Add fence language for the diagram (MD040).

Mark the diagram block as plain text.

-```
+```text
 LLMCoreStreamEvent (底层强类型流事件)
     ↓
 LLMAgentEvent (Agent事件)
     ↓
 AssistantMessageBlock (助手消息块)
     ↓
 MessageItemAssistant.vue (UI组件)

---

`25-26`: **Add fence language for the big TypeScript example (MD040).**

Specify ts for the long event-type block to enable syntax highlighting.


```diff
-// 使用严格的联合类型设计，确保类型安全
+```ts
+// 使用严格的联合类型设计，确保类型安全

And close it with ``` at line 185 (unchanged).

---

236-236: Fix path in section header to reflect new location.

Aligns docs with the PR’s new types layout.

-// src/core/llm-events.ts - 独立的事件类型库
+// src/shared/types/core/llm-events.ts - 独立的事件类型库

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

💡 Knowledge Base configuration:

• MCP integration is disabled by default for public repositories
• Jira integration is disabled by default for public repositories
• Linear integration is disabled by default for public repositories

You can enable these sources in your CodeRabbit configuration.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/**/*.ts : Maintain one Presenter per functional domain under src/main/presenter/

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : `src/main/presenter/llmProviderPresenter/index.ts` should manage the overall Agent loop, conversation history, tool execution via `McpPresenter`, and frontend communication via `eventBus`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations must use a `coreStream` method that yields standardized stream events to decouple the main loop from provider-specific details.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/streamEvents.ts : Standardized stream events should conform to the `LLMCoreStreamEvent` interface, ideally defined in a shared file such as `src/main/presenter/llmProviderPresenter/streamEvents.ts`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Each LLM provider must implement a coreStream method following the standardized event interface

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should aggregate and yield usage events as part of the standardized stream.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop should send standardized `STREAM_EVENTS` (`RESPONSE`, `END`, `ERROR`) to the frontend via `eventBus`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield text events in the standardized format.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : All provider implementations must parse provider-specific data chunks and yield standardized events for text, reasoning, tool calls, usage, errors, stop reasons, and image data.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : The `coreStream` method in each Provider must perform a single streaming API request per conversation round and must not contain multi-round tool call loop logic.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield reasoning events in the standardized format when applicable.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield events asynchronously using the async generator pattern.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Each LLM provider must implement a coreStream method following the standardized event interface

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/streamEvents.ts : Standardized stream events should conform to the `LLMCoreStreamEvent` interface, ideally defined in a shared file such as `src/main/presenter/llmProviderPresenter/streamEvents.ts`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should aggregate and yield usage events as part of the standardized stream.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations must use a `coreStream` method that yields standardized stream events to decouple the main loop from provider-specific details.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : Implement the Agent Loop layer in llmProviderPresenter/index.ts

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : The main Agent loop should send standardized `STREAM_EVENTS` (`RESPONSE`, `END`, `ERROR`) to the frontend via `eventBus`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield stop events with appropriate `stop_reason` in the standardized format.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : The `coreStream` method in each Provider must perform a single streaming API request per conversation round and must not contain multi-round tool call loop logic.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Each file in `src/main/presenter/llmProviderPresenter/providers/*.ts` should handle interaction with a specific LLM API, including request/response formatting, tool definition conversion, native/non-native tool call management, and standardizing output streams to a common event format.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : All provider implementations must parse provider-specific data chunks and yield standardized events for text, reasoning, tool calls, usage, errors, stop reasons, and image data.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/index.ts : `src/main/presenter/llmProviderPresenter/index.ts` should manage the overall Agent loop, conversation history, tool execution via `McpPresenter`, and frontend communication via `eventBus`.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield text events in the standardized format.

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: CLAUDE.md:0-0
Timestamp: 2025-09-01T09:16:58.043Z
Learning: Applies to src/main/presenter/**/*.ts : Maintain one Presenter per functional domain under src/main/presenter/

Learnt from: CR
PR: ThinkInAIXYZ/deepchat#0
File: .cursor/rules/llm-agent-loop.mdc:0-0
Timestamp: 2025-07-21T01:46:52.880Z
Learning: Applies to src/main/presenter/llmProviderPresenter/providers/*.ts : Provider implementations should yield events asynchronously using the async generator pattern.