chore(release): v0.0.15-nightly.4

* feat: Add Qwen3-VL-Plus token limits (256K input, 32K output)

- Added 256K input context window limit for Qwen3-VL-Plus model
- Updated output token limit from 8K to 32K for Qwen3-VL-Plus
- Added comprehensive tests for both input and output limits

As requested by Qwen maintainers for proper model support.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: enable high-res flag for qwen VL models

---------

Co-authored-by: Claude <noreply@anthropic.com>

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog
 
+## 0.0.14
+
+- Added plan mode support for task planning
+- Fixed unreliable editCorrector that injects extra escape characters
+- Fixed task tool dynamic updates
+- Added Qwen3-VL-Plus token limits (256K input, 32K output) and highres support
+- Enhanced dashScope cache control
+
 ## 0.0.13
 
 - Added YOLO mode support for automatic vision model switching with CLI arguments and environment variables.

package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "@qwen-code/qwen-code",
-  "version": "0.0.13",
+  "version": "0.0.15-nightly.4",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "@qwen-code/qwen-code",
-      "version": "0.0.13",
+      "version": "0.0.15-nightly.4",
       "workspaces": [
         "packages/*"
       ],
@@ -13454,7 +13454,7 @@
     },
     "packages/cli": {
       "name": "@qwen-code/qwen-code",
-      "version": "0.0.13",
+      "version": "0.0.15-nightly.4",
       "dependencies": {
         "@google/genai": "1.9.0",
         "@iarna/toml": "^2.2.5",
@@ -13662,7 +13662,7 @@
     },
     "packages/core": {
       "name": "@qwen-code/qwen-code-core",
-      "version": "0.0.13",
+      "version": "0.0.15-nightly.4",
       "dependencies": {
         "@google/genai": "1.13.0",
         "@lvce-editor/ripgrep": "^1.6.0",
@@ -13788,7 +13788,7 @@
     },
     "packages/test-utils": {
       "name": "@qwen-code/qwen-code-test-utils",
-      "version": "0.0.13",
+      "version": "0.0.15-nightly.4",
       "dev": true,
       "license": "Apache-2.0",
       "devDependencies": {
@@ -13800,7 +13800,7 @@
     },
     "packages/vscode-ide-companion": {
       "name": "qwen-code-vscode-ide-companion",
-      "version": "0.0.13",
+      "version": "0.0.15-nightly.4",
       "license": "LICENSE",
       "dependencies": {
         "@modelcontextprotocol/sdk": "^1.15.1",

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code",
-  "version": "0.0.13",
+  "version": "0.0.15-nightly.4",
   "engines": {
     "node": ">=20.0.0"
   },
@@ -13,7 +13,7 @@
     "url": "git+https://github.com/QwenLM/qwen-code.git"
   },
   "config": {
-    "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.0.13"
+    "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.0.15-nightly.4"
   },
   "scripts": {
     "start": "node scripts/start.js",

packages/cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code",
-  "version": "0.0.13",
+  "version": "0.0.15-nightly.4",
   "description": "Qwen Code",
   "repository": {
     "type": "git",
@@ -25,7 +25,7 @@
     "dist"
   ],
   "config": {
-    "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.0.13"
+    "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.0.15-nightly.4"
   },
   "dependencies": {
     "@google/genai": "1.9.0",

packages/core/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code-core",
-  "version": "0.0.13",
+  "version": "0.0.15-nightly.4",
   "description": "Qwen Code Core",
   "repository": {
     "type": "git",

packages/core/src/core/client.test.ts

@@ -434,8 +434,6 @@ describe('Gemini Client (client.ts)', () => {
           config: {
             abortSignal,
             systemInstruction: getCoreSystemPrompt(''),
-            temperature: 0,
-            topP: 1,
             tools: [
               {
                 functionDeclarations: [
@@ -486,7 +484,6 @@ describe('Gemini Client (client.ts)', () => {
             abortSignal,
             systemInstruction: getCoreSystemPrompt(''),
             temperature: 0.9,
-            topP: 1, // from default
             topK: 20,
             tools: [
               {
@@ -2461,7 +2458,6 @@ ${JSON.stringify(
             abortSignal,
             systemInstruction: getCoreSystemPrompt(''),
             temperature: 0.5,
-            topP: 1,
           },
           contents,
         },

packages/core/src/core/client.ts

@@ -115,10 +115,7 @@ export class GeminiClient {
   private chat?: GeminiChat;
   private contentGenerator?: ContentGenerator;
   private readonly embeddingModel: string;
-  private readonly generateContentConfig: GenerateContentConfig = {
-    temperature: 0,
-    topP: 1,
-  };
+  private readonly generateContentConfig: GenerateContentConfig = {};
   private sessionTurnCount = 0;
 
   private readonly loopDetector: LoopDetectionService;

packages/core/src/core/openaiContentGenerator/index.ts

@@ -12,6 +12,7 @@ import type { Config } from '../../config/config.js';
 import { OpenAIContentGenerator } from './openaiContentGenerator.js';
 import {
   DashScopeOpenAICompatibleProvider,
+  DeepSeekOpenAICompatibleProvider,
   OpenRouterOpenAICompatibleProvider,
   type OpenAICompatibleProvider,
   DefaultOpenAICompatibleProvider,
@@ -23,6 +24,7 @@ export { ContentGenerationPipeline, type PipelineConfig } from './pipeline.js';
 export {
   type OpenAICompatibleProvider,
   DashScopeOpenAICompatibleProvider,
+  DeepSeekOpenAICompatibleProvider,
   OpenRouterOpenAICompatibleProvider,
 } from './provider/index.js';
 
@@ -61,6 +63,13 @@ export function determineProvider(
     );
   }
 
+  if (DeepSeekOpenAICompatibleProvider.isDeepSeekProvider(config)) {
+    return new DeepSeekOpenAICompatibleProvider(
+      contentGeneratorConfig,
+      cliConfig,
+    );
+  }
+
   // Check for OpenRouter provider
   if (OpenRouterOpenAICompatibleProvider.isOpenRouterProvider(config)) {
     return new OpenRouterOpenAICompatibleProvider(

packages/core/src/core/openaiContentGenerator/pipeline.ts

@@ -248,26 +248,23 @@ export class ContentGenerationPipeline {
       ...this.buildSamplingParameters(request),
     };
 
-    // Let provider enhance the request (e.g., add metadata, cache control)
-    const enhancedRequest = this.config.provider.buildRequest(
-      baseRequest,
-      userPromptId,
-    );
+    // Add streaming options if present
+    if (streaming) {
+      (
+        baseRequest as unknown as OpenAI.Chat.ChatCompletionCreateParamsStreaming
+      ).stream = true;
+      baseRequest.stream_options = { include_usage: true };
+    }
 
     // Add tools if present
     if (request.config?.tools) {
-      enhancedRequest.tools = await this.converter.convertGeminiToolsToOpenAI(
+      baseRequest.tools = await this.converter.convertGeminiToolsToOpenAI(
         request.config.tools,
       );
     }
 
-    // Add streaming options if needed
-    if (streaming) {
-      enhancedRequest.stream = true;
-      enhancedRequest.stream_options = { include_usage: true };
-    }
-
-    return enhancedRequest;
+    // Let provider enhance the request (e.g., add metadata, cache control)
+    return this.config.provider.buildRequest(baseRequest, userPromptId);
   }
 
   private buildSamplingParameters(
@@ -305,9 +302,9 @@ export class ContentGenerationPipeline {
     };
 
     const params = {
-      // Parameters with request fallback and defaults
-      temperature: getParameterValue('temperature', 'temperature', 0.0),
-      top_p: getParameterValue('top_p', 'topP', 1.0),
+      // Parameters with request fallback but no defaults
+      ...addParameterIfDefined('temperature', 'temperature', 'temperature'),
+      ...addParameterIfDefined('top_p', 'top_p', 'topP'),
 
       // Max tokens (special case: different property names)
       ...addParameterIfDefined('max_tokens', 'max_tokens', 'maxOutputTokens'),

packages/core/src/core/openaiContentGenerator/provider/dashscope.test.ts

@@ -17,6 +17,7 @@ import { DashScopeOpenAICompatibleProvider } from './dashscope.js';
 import type { Config } from '../../../config/config.js';
 import type { ContentGeneratorConfig } from '../../contentGenerator.js';
 import { AuthType } from '../../contentGenerator.js';
+import type { ChatCompletionToolWithCache } from './types.js';
 import { DEFAULT_TIMEOUT, DEFAULT_MAX_RETRIES } from '../constants.js';
 
 // Mock OpenAI
@@ -253,17 +254,110 @@ describe('DashScopeOpenAICompatibleProvider', () => {
         },
       ]);
 
-      // Last message should NOT have cache control for non-streaming
+      // Last message should NOT have cache control for non-streaming requests
       const lastMessage = result.messages[1];
       expect(lastMessage.role).toBe('user');
       expect(lastMessage.content).toBe('Hello!');
     });
 
-    it('should add cache control to both system and last messages for streaming requests', () => {
-      const request = { ...baseRequest, stream: true };
-      const result = provider.buildRequest(request, 'test-prompt-id');
+    it('should add cache control to system message only for non-streaming requests with tools', () => {
+      const requestWithTool: OpenAI.Chat.ChatCompletionCreateParams = {
+        ...baseRequest,
+        messages: [
+          { role: 'system', content: 'You are a helpful assistant.' },
+          {
+            role: 'tool',
+            content: 'First tool output',
+            tool_call_id: 'call_1',
+          },
+          {
+            role: 'tool',
+            content: 'Second tool output',
+            tool_call_id: 'call_2',
+          },
+          { role: 'user', content: 'Hello!' },
+        ],
+        tools: [
+          {
+            type: 'function',
+            function: {
+              name: 'mockTool',
+              parameters: { type: 'object', properties: {} },
+            },
+          },
+        ],
+        stream: false,
+      };
 
-      expect(result.messages).toHaveLength(2);
+      const result = provider.buildRequest(requestWithTool, 'test-prompt-id');
+
+      expect(result.messages).toHaveLength(4);
+
+      const systemMessage = result.messages[0];
+      expect(systemMessage.content).toEqual([
+        {
+          type: 'text',
+          text: 'You are a helpful assistant.',
+          cache_control: { type: 'ephemeral' },
+        },
+      ]);
+
+      // Tool messages should remain unchanged
+      const firstToolMessage = result.messages[1];
+      expect(firstToolMessage.role).toBe('tool');
+      expect(firstToolMessage.content).toBe('First tool output');
+
+      const secondToolMessage = result.messages[2];
+      expect(secondToolMessage.role).toBe('tool');
+      expect(secondToolMessage.content).toBe('Second tool output');
+
+      // Last message should NOT have cache control for non-streaming requests
+      const lastMessage = result.messages[3];
+      expect(lastMessage.role).toBe('user');
+      expect(lastMessage.content).toBe('Hello!');
+
+      // Tools should NOT have cache control for non-streaming requests
+      const tools = result.tools as ChatCompletionToolWithCache[];
+      expect(tools).toBeDefined();
+      expect(tools).toHaveLength(1);
+      expect(tools[0].cache_control).toBeUndefined();
+    });
+
+    it('should add cache control to system, last history message, and last tool definition for streaming requests', () => {
+      const request = { ...baseRequest, stream: true };
+      const requestWithToolMessage: OpenAI.Chat.ChatCompletionCreateParams = {
+        ...request,
+        messages: [
+          { role: 'system', content: 'You are a helpful assistant.' },
+          {
+            role: 'tool',
+            content: 'First tool output',
+            tool_call_id: 'call_1',
+          },
+          {
+            role: 'tool',
+            content: 'Second tool output',
+            tool_call_id: 'call_2',
+          },
+          { role: 'user', content: 'Hello!' },
+        ],
+        tools: [
+          {
+            type: 'function',
+            function: {
+              name: 'mockTool',
+              parameters: { type: 'object', properties: {} },
+            },
+          },
+        ],
+      };
+
+      const result = provider.buildRequest(
+        requestWithToolMessage,
+        'test-prompt-id',
+      );
+
+      expect(result.messages).toHaveLength(4);
 
       // System message should have cache control
       const systemMessage = result.messages[0];
@@ -275,8 +369,17 @@ describe('DashScopeOpenAICompatibleProvider', () => {
         },
       ]);
 
-      // Last message should also have cache control for streaming
-      const lastMessage = result.messages[1];
+      // Tool messages should remain unchanged
+      const firstToolMessage = result.messages[1];
+      expect(firstToolMessage.role).toBe('tool');
+      expect(firstToolMessage.content).toBe('First tool output');
+
+      const secondToolMessage = result.messages[2];
+      expect(secondToolMessage.role).toBe('tool');
+      expect(secondToolMessage.content).toBe('Second tool output');
+
+      // Last message should also have cache control
+      const lastMessage = result.messages[3];
       expect(lastMessage.content).toEqual([
         {
           type: 'text',
@@ -284,6 +387,40 @@ describe('DashScopeOpenAICompatibleProvider', () => {
           cache_control: { type: 'ephemeral' },
         },
       ]);
+
+      const tools = result.tools as ChatCompletionToolWithCache[];
+      expect(tools).toBeDefined();
+      expect(tools).toHaveLength(1);
+      expect(tools[0].cache_control).toEqual({ type: 'ephemeral' });
+    });
+
+    it('should not add cache control to tool messages when request.tools is undefined', () => {
+      const requestWithoutConfiguredTools: OpenAI.Chat.ChatCompletionCreateParams =
+        {
+          ...baseRequest,
+          messages: [
+            { role: 'system', content: 'You are a helpful assistant.' },
+            {
+              role: 'tool',
+              content: 'Tool output',
+              tool_call_id: 'call_1',
+            },
+            { role: 'user', content: 'Hello!' },
+          ],
+        };
+
+      const result = provider.buildRequest(
+        requestWithoutConfiguredTools,
+        'test-prompt-id',
+      );
+
+      expect(result.messages).toHaveLength(3);
+
+      const toolMessage = result.messages[1];
+      expect(toolMessage.role).toBe('tool');
+      expect(toolMessage.content).toBe('Tool output');
+
+      expect(result.tools).toBeUndefined();
     });
 
     it('should include metadata in the request', () => {
@@ -688,6 +825,60 @@ describe('DashScopeOpenAICompatibleProvider', () => {
       ).toBe(true); // Vision-specific parameter should be preserved
     });
 
+    it('should set high resolution flag for qwen3-vl-plus', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen3-vl-plus',
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: 'Please inspect the image.' },
+              {
+                type: 'image_url',
+                image_url: { url: 'https://example.com/vl.jpg' },
+              },
+            ],
+          },
+        ],
+        max_tokens: 50000,
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(32768);
+      expect(
+        (result as { vl_high_resolution_images?: boolean })
+          .vl_high_resolution_images,
+      ).toBe(true);
+    });
+
+    it('should set high resolution flag for the vision-model alias', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'vision-model',
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: 'Alias payload' },
+              {
+                type: 'image_url',
+                image_url: { url: 'https://example.com/alias.png' },
+              },
+            ],
+          },
+        ],
+        max_tokens: 9000,
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(8192);
+      expect(
+        (result as { vl_high_resolution_images?: boolean })
+          .vl_high_resolution_images,
+      ).toBe(true);
+    });
+
     it('should handle streaming requests with output token limits', () => {
       const request: OpenAI.Chat.ChatCompletionCreateParams = {
         model: 'qwen3-coder-plus',

packages/core/src/core/openaiContentGenerator/provider/dashscope.ts

@@ -9,6 +9,7 @@ import type {
   DashScopeRequestMetadata,
   ChatCompletionContentPartTextWithCache,
   ChatCompletionContentPartWithCache,
+  ChatCompletionToolWithCache,
 } from './types.js';
 
 export class DashScopeOpenAICompatibleProvider
@@ -70,7 +71,8 @@ export class DashScopeOpenAICompatibleProvider
    * Build and configure the request for DashScope API.
    *
    * This method applies DashScope-specific configurations including:
-   * - Cache control for system and user messages
+   * - Cache control for the system message, last tool message (when tools are configured),
+   *   and the latest history message
    * - Output token limits based on model capabilities
    * - Vision model specific parameters (vl_high_resolution_images)
    * - Request metadata for session tracking
@@ -84,13 +86,17 @@ export class DashScopeOpenAICompatibleProvider
     userPromptId: string,
   ): OpenAI.Chat.ChatCompletionCreateParams {
     let messages = request.messages;
+    let tools = request.tools;
 
     // Apply DashScope cache control only if not disabled
     if (!this.shouldDisableCacheControl()) {
-      // Add cache control to system and last messages for DashScope providers
-      // Only add cache control to system message for non-streaming requests
-      const cacheTarget = request.stream ? 'both' : 'system';
-      messages = this.addDashScopeCacheControl(messages, cacheTarget);
+      const { messages: updatedMessages, tools: updatedTools } =
+        this.addDashScopeCacheControl(
+          request,
+          request.stream ? 'all' : 'system_only',
+        );
+      messages = updatedMessages;
+      tools = updatedTools;
     }
 
     // Apply output token limits based on model capabilities
@@ -100,10 +106,11 @@ export class DashScopeOpenAICompatibleProvider
       request.model,
     );
 
-    if (request.model.startsWith('qwen-vl')) {
+    if (this.isVisionModel(request.model)) {
       return {
         ...requestWithTokenLimits,
         messages,
+        ...(tools ? { tools } : {}),
         ...(this.buildMetadata(userPromptId) || {}),
         /* @ts-expect-error dashscope exclusive */
         vl_high_resolution_images: true,
@@ -113,6 +120,7 @@ export class DashScopeOpenAICompatibleProvider
     return {
       ...requestWithTokenLimits, // Preserve all original parameters including sampling params and adjusted max_tokens
       messages,
+      ...(tools ? { tools } : {}),
       ...(this.buildMetadata(userPromptId) || {}),
     } as OpenAI.Chat.ChatCompletionCreateParams;
   }
@@ -130,75 +138,67 @@ export class DashScopeOpenAICompatibleProvider
    * Add cache control flag to specified message(s) for DashScope providers
    */
   private addDashScopeCacheControl(
-    messages: OpenAI.Chat.ChatCompletionMessageParam[],
-    target: 'system' | 'last' | 'both' = 'both',
-  ): OpenAI.Chat.ChatCompletionMessageParam[] {
-    if (messages.length === 0) {
-      return messages;
-    }
+    request: OpenAI.Chat.ChatCompletionCreateParams,
+    cacheControl: 'system_only' | 'all',
+  ): {
+    messages: OpenAI.Chat.ChatCompletionMessageParam[];
+    tools?: ChatCompletionToolWithCache[];
+  } {
+    const messages = request.messages;
 
-    let updatedMessages = [...messages];
+    const systemIndex = messages.findIndex((msg) => msg.role === 'system');
+    const lastIndex = messages.length - 1;
 
-    // Add cache control to system message if requested
-    if (target === 'system' || target === 'both') {
-      updatedMessages = this.addCacheControlToMessage(
-        updatedMessages,
-        'system',
-      );
-    }
+    const updatedMessages =
+      messages.length === 0
+        ? messages
+        : messages.map((message, index) => {
+            const shouldAddCacheControl = Boolean(
+              (index === systemIndex && systemIndex !== -1) ||
+                (index === lastIndex && cacheControl === 'all'),
+            );
 
-    // Add cache control to last message if requested
-    if (target === 'last' || target === 'both') {
-      updatedMessages = this.addCacheControlToMessage(updatedMessages, 'last');
-    }
+            if (
+              !shouldAddCacheControl ||
+              !('content' in message) ||
+              message.content === null ||
+              message.content === undefined
+            ) {
+              return message;
+            }
 
-    return updatedMessages;
+            return {
+              ...message,
+              content: this.addCacheControlToContent(message.content),
+            } as OpenAI.Chat.ChatCompletionMessageParam;
+          });
+
+    const updatedTools =
+      cacheControl === 'all' && request.tools?.length
+        ? this.addCacheControlToTools(request.tools)
+        : (request.tools as ChatCompletionToolWithCache[] | undefined);
+
+    return {
+      messages: updatedMessages,
+      tools: updatedTools,
+    };
   }
 
-  /**
-   * Helper method to add cache control to a specific message
-   */
-  private addCacheControlToMessage(
-    messages: OpenAI.Chat.ChatCompletionMessageParam[],
-    target: 'system' | 'last',
-  ): OpenAI.Chat.ChatCompletionMessageParam[] {
-    const updatedMessages = [...messages];
-    const messageIndex = this.findTargetMessageIndex(messages, target);
-
-    if (messageIndex === -1) {
-      return updatedMessages;
+  private addCacheControlToTools(
+    tools: OpenAI.Chat.ChatCompletionTool[],
+  ): ChatCompletionToolWithCache[] {
+    if (tools.length === 0) {
+      return tools as ChatCompletionToolWithCache[];
     }
 
-    const message = updatedMessages[messageIndex];
+    const updatedTools = [...tools] as ChatCompletionToolWithCache[];
+    const lastToolIndex = tools.length - 1;
+    updatedTools[lastToolIndex] = {
+      ...updatedTools[lastToolIndex],
+      cache_control: { type: 'ephemeral' },
+    };
 
-    // Only process messages that have content
-    if (
-      'content' in message &&
-      message.content !== null &&
-      message.content !== undefined
-    ) {
-      const updatedContent = this.addCacheControlToContent(message.content);
-      updatedMessages[messageIndex] = {
-        ...message,
-        content: updatedContent,
-      } as OpenAI.Chat.ChatCompletionMessageParam;
-    }
-
-    return updatedMessages;
-  }
-
-  /**
-   * Find the index of the target message (system or last)
-   */
-  private findTargetMessageIndex(
-    messages: OpenAI.Chat.ChatCompletionMessageParam[],
-    target: 'system' | 'last',
-  ): number {
-    if (target === 'system') {
-      return messages.findIndex((msg) => msg.role === 'system');
-    } else {
-      return messages.length - 1;
-    }
+    return updatedTools;
   }
 
   /**
@@ -267,6 +267,28 @@ export class DashScopeOpenAICompatibleProvider
     return contentArray;
   }
 
+  private isVisionModel(model: string | undefined): boolean {
+    if (!model) {
+      return false;
+    }
+
+    const normalized = model.toLowerCase();
+
+    if (normalized === 'vision-model') {
+      return true;
+    }
+
+    if (normalized.startsWith('qwen-vl')) {
+      return true;
+    }
+
+    if (normalized.startsWith('qwen3-vl-plus')) {
+      return true;
+    }
+
+    return false;
+  }
+
   /**
    * Apply output token limit to a request's max_tokens parameter.
    *

packages/core/src/core/openaiContentGenerator/provider/deepseek.test.ts

@@ -0,0 +1,132 @@
+/**
+ * @license
+ * Copyright 2025 Qwen
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+import type OpenAI from 'openai';
+import { DeepSeekOpenAICompatibleProvider } from './deepseek.js';
+import type { ContentGeneratorConfig } from '../../contentGenerator.js';
+import type { Config } from '../../../config/config.js';
+
+// Mock OpenAI client to avoid real network calls
+vi.mock('openai', () => ({
+  default: vi.fn().mockImplementation((config) => ({
+    config,
+  })),
+}));
+
+describe('DeepSeekOpenAICompatibleProvider', () => {
+  let provider: DeepSeekOpenAICompatibleProvider;
+  let mockContentGeneratorConfig: ContentGeneratorConfig;
+  let mockCliConfig: Config;
+
+  beforeEach(() => {
+    vi.clearAllMocks();
+
+    mockContentGeneratorConfig = {
+      apiKey: 'test-api-key',
+      baseUrl: 'https://api.deepseek.com/v1',
+      model: 'deepseek-chat',
+    } as ContentGeneratorConfig;
+
+    mockCliConfig = {
+      getCliVersion: vi.fn().mockReturnValue('1.0.0'),
+    } as unknown as Config;
+
+    provider = new DeepSeekOpenAICompatibleProvider(
+      mockContentGeneratorConfig,
+      mockCliConfig,
+    );
+  });
+
+  describe('isDeepSeekProvider', () => {
+    it('returns true when baseUrl includes deepseek', () => {
+      const result = DeepSeekOpenAICompatibleProvider.isDeepSeekProvider(
+        mockContentGeneratorConfig,
+      );
+      expect(result).toBe(true);
+    });
+
+    it('returns false for non deepseek baseUrl', () => {
+      const config = {
+        ...mockContentGeneratorConfig,
+        baseUrl: 'https://api.example.com/v1',
+      } as ContentGeneratorConfig;
+
+      const result =
+        DeepSeekOpenAICompatibleProvider.isDeepSeekProvider(config);
+      expect(result).toBe(false);
+    });
+  });
+
+  describe('buildRequest', () => {
+    const userPromptId = 'prompt-123';
+
+    it('converts array content into a string', () => {
+      const originalRequest: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'deepseek-chat',
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: 'Hello' },
+              { type: 'text', text: ' world' },
+            ],
+          },
+        ],
+      };
+
+      const result = provider.buildRequest(originalRequest, userPromptId);
+
+      expect(result.messages).toHaveLength(1);
+      expect(result.messages?.[0]).toEqual({
+        role: 'user',
+        content: 'Hello world',
+      });
+      expect(originalRequest.messages?.[0].content).toEqual([
+        { type: 'text', text: 'Hello' },
+        { type: 'text', text: ' world' },
+      ]);
+    });
+
+    it('leaves string content unchanged', () => {
+      const originalRequest: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'deepseek-chat',
+        messages: [
+          {
+            role: 'user',
+            content: 'Hello world',
+          },
+        ],
+      };
+
+      const result = provider.buildRequest(originalRequest, userPromptId);
+
+      expect(result.messages?.[0].content).toBe('Hello world');
+    });
+
+    it('throws when encountering non-text multimodal parts', () => {
+      const originalRequest: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'deepseek-chat',
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: 'Hello' },
+              {
+                type: 'image_url',
+                image_url: { url: 'https://example.com/image.png' },
+              },
+            ],
+          },
+        ],
+      };
+
+      expect(() =>
+        provider.buildRequest(originalRequest, userPromptId),
+      ).toThrow(/only supports text content/i);
+    });
+  });
+});

packages/core/src/core/openaiContentGenerator/provider/deepseek.ts

@@ -0,0 +1,79 @@
+/**
+ * @license
+ * Copyright 2025 Qwen
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+import type OpenAI from 'openai';
+import type { Config } from '../../../config/config.js';
+import type { ContentGeneratorConfig } from '../../contentGenerator.js';
+import { DefaultOpenAICompatibleProvider } from './default.js';
+
+export class DeepSeekOpenAICompatibleProvider extends DefaultOpenAICompatibleProvider {
+  constructor(
+    contentGeneratorConfig: ContentGeneratorConfig,
+    cliConfig: Config,
+  ) {
+    super(contentGeneratorConfig, cliConfig);
+  }
+
+  static isDeepSeekProvider(
+    contentGeneratorConfig: ContentGeneratorConfig,
+  ): boolean {
+    const baseUrl = contentGeneratorConfig.baseUrl ?? '';
+
+    return baseUrl.toLowerCase().includes('api.deepseek.com');
+  }
+
+  override buildRequest(
+    request: OpenAI.Chat.ChatCompletionCreateParams,
+    userPromptId: string,
+  ): OpenAI.Chat.ChatCompletionCreateParams {
+    const baseRequest = super.buildRequest(request, userPromptId);
+    if (!baseRequest.messages?.length) {
+      return baseRequest;
+    }
+
+    const messages = baseRequest.messages.map((message) => {
+      if (!('content' in message)) {
+        return message;
+      }
+
+      const { content } = message;
+
+      if (
+        typeof content === 'string' ||
+        content === null ||
+        content === undefined
+      ) {
+        return message;
+      }
+
+      if (!Array.isArray(content)) {
+        return message;
+      }
+
+      const text = content
+        .map((part) => {
+          if (part.type !== 'text') {
+            throw new Error(
+              `DeepSeek provider only supports text content. Found non-text part of type '${part.type}' in message with role '${message.role}'.`,
+            );
+          }
+
+          return part.text ?? '';
+        })
+        .join('');
+
+      return {
+        ...message,
+        content: text,
+      } as OpenAI.Chat.ChatCompletionMessageParam;
+    });
+
+    return {
+      ...baseRequest,
+      messages,
+    };
+  }
+}

packages/core/src/core/openaiContentGenerator/provider/index.ts

@@ -1,4 +1,5 @@
 export { DashScopeOpenAICompatibleProvider } from './dashscope.js';
+export { DeepSeekOpenAICompatibleProvider } from './deepseek.js';
 export { OpenRouterOpenAICompatibleProvider } from './openrouter.js';
 export { DefaultOpenAICompatibleProvider } from './default.js';
 export type {

packages/core/src/core/openaiContentGenerator/provider/types.ts

@@ -11,6 +11,10 @@ export type ChatCompletionContentPartWithCache =
   | OpenAI.Chat.ChatCompletionContentPartImage
   | OpenAI.Chat.ChatCompletionContentPartRefusal;
 
+export type ChatCompletionToolWithCache = OpenAI.Chat.ChatCompletionTool & {
+  cache_control?: { type: 'ephemeral' };
+};
+
 export interface OpenAICompatibleProvider {
   buildHeaders(): Record<string, string | undefined>;
   buildClient(): OpenAI;

packages/core/src/core/tokenLimits.test.ts

@@ -278,6 +278,11 @@ describe('tokenLimit with output type', () => {
       expect(tokenLimit('qwen-vl-max-latest', 'output')).toBe(8192); // 8K output
     });
 
+    it('should return different limits for input vs output for qwen3-vl-plus', () => {
+      expect(tokenLimit('qwen3-vl-plus', 'input')).toBe(262144); // 256K input
+      expect(tokenLimit('qwen3-vl-plus', 'output')).toBe(32768); // 32K output
+    });
+
     it('should return same default limits for unknown models', () => {
       expect(tokenLimit('unknown-model', 'input')).toBe(DEFAULT_TOKEN_LIMIT); // 128K input
       expect(tokenLimit('unknown-model', 'output')).toBe(

packages/core/src/core/tokenLimits.ts

@@ -135,6 +135,7 @@ const PATTERNS: Array<[RegExp, TokenCount]> = [
   [/^qwen-turbo.*$/, LIMITS['128k']],
 
   // Qwen Vision Models
+  [/^qwen3-vl-plus$/, LIMITS['256k']], // Qwen3-VL-Plus: 256K input
   [/^qwen-vl-max.*$/, LIMITS['128k']],
 
   // Generic vision-model: same as qwen-vl-max (128K token context)
@@ -187,8 +188,8 @@ const OUTPUT_PATTERNS: Array<[RegExp, TokenCount]> = [
   // Generic vision-model: same as qwen-vl-max-latest (8K max output tokens)
   [/^vision-model$/, LIMITS['8k']],
 
-  // Qwen3-VL-Plus: 8,192 max output tokens
-  [/^qwen3-vl-plus$/, LIMITS['8k']],
+  // Qwen3-VL-Plus: 32K max output tokens
+  [/^qwen3-vl-plus$/, LIMITS['32k']],
 ];
 
 /**

packages/test-utils/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code-test-utils",
-  "version": "0.0.13",
+  "version": "0.0.15-nightly.4",
   "private": true,
   "main": "src/index.ts",
   "license": "Apache-2.0",

packages/vscode-ide-companion/package.json

@@ -2,7 +2,7 @@
   "name": "qwen-code-vscode-ide-companion",
   "displayName": "Qwen Code Companion",
   "description": "Enable Qwen Code with direct access to your VS Code workspace.",
-  "version": "0.0.13",
+  "version": "0.0.15-nightly.4",
   "publisher": "qwenlm",
   "icon": "assets/icon.png",
   "repository": {