fix: arrow keys on windows

package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "@qwen-code/qwen-code",
-  "version": "0.0.12",
+  "version": "0.0.11",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "@qwen-code/qwen-code",
-      "version": "0.0.12",
+      "version": "0.0.11",
       "workspaces": [
         "packages/*"
       ],
@@ -13454,7 +13454,7 @@
     },
     "packages/cli": {
       "name": "@qwen-code/qwen-code",
-      "version": "0.0.12",
+      "version": "0.0.11",
       "dependencies": {
         "@google/genai": "1.9.0",
         "@iarna/toml": "^2.2.5",
@@ -13662,7 +13662,7 @@
     },
     "packages/core": {
       "name": "@qwen-code/qwen-code-core",
-      "version": "0.0.12",
+      "version": "0.0.11",
       "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": "0.0.12",
+      "version": "0.0.11",
       "dev": true,
       "license": "Apache-2.0",
       "devDependencies": {
@@ -13800,7 +13800,7 @@
     },
     "packages/vscode-ide-companion": {
       "name": "qwen-code-vscode-ide-companion",
-      "version": "0.0.12",
+      "version": "0.0.11",
       "license": "LICENSE",
       "dependencies": {
         "@modelcontextprotocol/sdk": "^1.15.1",

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code",
-  "version": "0.0.12",
+  "version": "0.0.11",
   "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:0.0.12"
+    "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.0.11"
   },
   "scripts": {
     "start": "node scripts/start.js",

packages/cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code",
-  "version": "0.0.12",
+  "version": "0.0.11",
   "description": "Qwen Code",
   "repository": {
     "type": "git",
@@ -25,7 +25,7 @@
     "dist"
   ],
   "config": {
-    "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.0.12"
+    "sandboxImageUri": "ghcr.io/qwenlm/qwen-code:0.0.11"
   },
   "dependencies": {
     "@google/genai": "1.9.0",

packages/core/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code-core",
-  "version": "0.0.12",
+  "version": "0.0.11",
   "description": "Qwen Code Core",
   "repository": {
     "type": "git",

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

@@ -1105,164 +1105,5 @@ describe('ContentGenerationPipeline', () => {
         expect.any(Array),
       );
     });
-
-    it('should collect all OpenAI chunks for logging even when Gemini responses are filtered', async () => {
-      // Create chunks that would produce empty Gemini responses (partial tool calls)
-      const partialToolCallChunk1: OpenAI.Chat.ChatCompletionChunk = {
-        id: 'chunk-1',
-        object: 'chat.completion.chunk',
-        created: Date.now(),
-        model: 'test-model',
-        choices: [
-          {
-            index: 0,
-            delta: {
-              tool_calls: [
-                {
-                  index: 0,
-                  id: 'call_123',
-                  type: 'function',
-                  function: { name: 'test_function', arguments: '{"par' },
-                },
-              ],
-            },
-            finish_reason: null,
-          },
-        ],
-      };
-
-      const partialToolCallChunk2: OpenAI.Chat.ChatCompletionChunk = {
-        id: 'chunk-2',
-        object: 'chat.completion.chunk',
-        created: Date.now(),
-        model: 'test-model',
-        choices: [
-          {
-            index: 0,
-            delta: {
-              tool_calls: [
-                {
-                  index: 0,
-                  function: { arguments: 'am": "value"}' },
-                },
-              ],
-            },
-            finish_reason: null,
-          },
-        ],
-      };
-
-      const finishChunk: OpenAI.Chat.ChatCompletionChunk = {
-        id: 'chunk-3',
-        object: 'chat.completion.chunk',
-        created: Date.now(),
-        model: 'test-model',
-        choices: [
-          {
-            index: 0,
-            delta: {},
-            finish_reason: 'tool_calls',
-          },
-        ],
-      };
-
-      // Mock empty Gemini responses for partial chunks (they get filtered)
-      const emptyGeminiResponse1 = new GenerateContentResponse();
-      emptyGeminiResponse1.candidates = [
-        {
-          content: { parts: [], role: 'model' },
-          index: 0,
-          safetyRatings: [],
-        },
-      ];
-
-      const emptyGeminiResponse2 = new GenerateContentResponse();
-      emptyGeminiResponse2.candidates = [
-        {
-          content: { parts: [], role: 'model' },
-          index: 0,
-          safetyRatings: [],
-        },
-      ];
-
-      // Mock final Gemini response with tool call
-      const finalGeminiResponse = new GenerateContentResponse();
-      finalGeminiResponse.candidates = [
-        {
-          content: {
-            parts: [
-              {
-                functionCall: {
-                  id: 'call_123',
-                  name: 'test_function',
-                  args: { param: 'value' },
-                },
-              },
-            ],
-            role: 'model',
-          },
-          finishReason: FinishReason.STOP,
-          index: 0,
-          safetyRatings: [],
-        },
-      ];
-
-      // Setup converter mocks
-      (mockConverter.convertGeminiRequestToOpenAI as Mock).mockReturnValue([
-        { role: 'user', content: 'test' },
-      ]);
-      (mockConverter.convertOpenAIChunkToGemini as Mock)
-        .mockReturnValueOnce(emptyGeminiResponse1) // First partial chunk -> empty response
-        .mockReturnValueOnce(emptyGeminiResponse2) // Second partial chunk -> empty response
-        .mockReturnValueOnce(finalGeminiResponse); // Finish chunk -> complete response
-
-      // Mock stream
-      const mockStream = {
-        async *[Symbol.asyncIterator]() {
-          yield partialToolCallChunk1;
-          yield partialToolCallChunk2;
-          yield finishChunk;
-        },
-      };
-
-      (mockClient.chat.completions.create as Mock).mockResolvedValue(
-        mockStream,
-      );
-
-      const request: GenerateContentParameters = {
-        model: 'test-model',
-        contents: [{ role: 'user', parts: [{ text: 'test' }] }],
-      };
-
-      // Collect responses
-      const responses: GenerateContentResponse[] = [];
-      const resultGenerator = await pipeline.executeStream(
-        request,
-        'test-prompt-id',
-      );
-      for await (const response of resultGenerator) {
-        responses.push(response);
-      }
-
-      // Should only yield the final response (empty ones are filtered)
-      expect(responses).toHaveLength(1);
-      expect(responses[0]).toBe(finalGeminiResponse);
-
-      // Verify telemetry was called with ALL OpenAI chunks, including the filtered ones
-      expect(mockTelemetryService.logStreamingSuccess).toHaveBeenCalledWith(
-        expect.objectContaining({
-          model: 'test-model',
-          duration: expect.any(Number),
-          userPromptId: 'test-prompt-id',
-          authType: 'openai',
-        }),
-        [finalGeminiResponse], // Only the non-empty Gemini response
-        expect.objectContaining({
-          model: 'test-model',
-          messages: [{ role: 'user', content: 'test' }],
-        }),
-        [partialToolCallChunk1, partialToolCallChunk2, finishChunk], // ALL OpenAI chunks
-      );
-    });
   });
 });

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

@@ -118,9 +118,6 @@ export class ContentGenerationPipeline {
     try {
       // Stage 2a: Convert and yield each chunk while preserving original
       for await (const chunk of stream) {
-        // Always collect OpenAI chunks for logging, regardless of Gemini conversion result
-        collectedOpenAIChunks.push(chunk);
-
         const response = this.converter.convertOpenAIChunkToGemini(chunk);
 
         // Stage 2b: Filter empty responses to avoid downstream issues
@@ -135,7 +132,9 @@ export class ContentGenerationPipeline {
         // Stage 2c: Handle chunk merging for providers that send finishReason and usageMetadata separately
         const shouldYield = this.handleChunkMerging(
           response,
+          chunk,
           collectedGeminiResponses,
+          collectedOpenAIChunks,
           (mergedResponse) => {
             pendingFinishResponse = mergedResponse;
           },
@@ -183,13 +182,17 @@ export class ContentGenerationPipeline {
    * finishReason and the most up-to-date usage information from any provider pattern.
    *
    * @param response Current Gemini response
+   * @param chunk Current OpenAI chunk
    * @param collectedGeminiResponses Array to collect responses for logging
+   * @param collectedOpenAIChunks Array to collect chunks for logging
    * @param setPendingFinish Callback to set pending finish response
    * @returns true if the response should be yielded, false if it should be held for merging
    */
   private handleChunkMerging(
     response: GenerateContentResponse,
+    chunk: OpenAI.Chat.ChatCompletionChunk,
     collectedGeminiResponses: GenerateContentResponse[],
+    collectedOpenAIChunks: OpenAI.Chat.ChatCompletionChunk[],
     setPendingFinish: (response: GenerateContentResponse) => void,
   ): boolean {
     const isFinishChunk = response.candidates?.[0]?.finishReason;
@@ -203,6 +206,7 @@ export class ContentGenerationPipeline {
     if (isFinishChunk) {
       // This is a finish reason chunk
       collectedGeminiResponses.push(response);
+      collectedOpenAIChunks.push(chunk);
       setPendingFinish(response);
       return false; // Don't yield yet, wait for potential subsequent chunks to merge
     } else if (hasPendingFinish) {
@@ -224,6 +228,7 @@ export class ContentGenerationPipeline {
       // Update the collected responses with the merged response
       collectedGeminiResponses[collectedGeminiResponses.length - 1] =
         mergedResponse;
+      collectedOpenAIChunks.push(chunk);
 
       setPendingFinish(mergedResponse);
       return true; // Yield the merged response
@@ -231,6 +236,7 @@ export class ContentGenerationPipeline {
 
     // Normal chunk - collect and yield
     collectedGeminiResponses.push(response);
+    collectedOpenAIChunks.push(chunk);
     return true;
   }
 

packages/test-utils/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@qwen-code/qwen-code-test-utils",
-  "version": "0.0.12",
+  "version": "0.0.11",
   "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": "0.0.12",
+  "version": "0.0.11",
   "publisher": "qwenlm",
   "icon": "assets/icon.png",
   "repository": {