fix: output token limit for qwen (#664)

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

@@ -560,4 +560,146 @@ describe('DashScopeOpenAICompatibleProvider', () => {
       ]);
     });
   });
+
+  describe('output token limits', () => {
+    it('should limit max_tokens when it exceeds model limit for qwen3-coder-plus', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen3-coder-plus',
+        messages: [{ role: 'user', content: 'Hello' }],
+        max_tokens: 100000, // Exceeds the 65536 limit
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(65536); // Should be limited to model's output limit
+    });
+
+    it('should limit max_tokens when it exceeds model limit for qwen-vl-max-latest', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen-vl-max-latest',
+        messages: [{ role: 'user', content: 'Hello' }],
+        max_tokens: 20000, // Exceeds the 8192 limit
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(8192); // Should be limited to model's output limit
+    });
+
+    it('should not modify max_tokens when it is within model limit', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen3-coder-plus',
+        messages: [{ role: 'user', content: 'Hello' }],
+        max_tokens: 1000, // Within the 65536 limit
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(1000); // Should remain unchanged
+    });
+
+    it('should not add max_tokens when not present in request', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen3-coder-plus',
+        messages: [{ role: 'user', content: 'Hello' }],
+        // No max_tokens parameter
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBeUndefined(); // Should remain undefined
+    });
+
+    it('should handle null max_tokens parameter', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen3-coder-plus',
+        messages: [{ role: 'user', content: 'Hello' }],
+        max_tokens: null,
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBeNull(); // Should remain null
+    });
+
+    it('should use default output limit for unknown models', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'unknown-model',
+        messages: [{ role: 'user', content: 'Hello' }],
+        max_tokens: 10000, // Exceeds the default 4096 limit
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(4096); // Should be limited to default output limit
+    });
+
+    it('should preserve other request parameters when limiting max_tokens', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen3-coder-plus',
+        messages: [{ role: 'user', content: 'Hello' }],
+        max_tokens: 100000, // Will be limited
+        temperature: 0.8,
+        top_p: 0.9,
+        frequency_penalty: 0.1,
+        presence_penalty: 0.2,
+        stop: ['END'],
+        user: 'test-user',
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      // max_tokens should be limited
+      expect(result.max_tokens).toBe(65536);
+
+      // Other parameters should be preserved
+      expect(result.temperature).toBe(0.8);
+      expect(result.top_p).toBe(0.9);
+      expect(result.frequency_penalty).toBe(0.1);
+      expect(result.presence_penalty).toBe(0.2);
+      expect(result.stop).toEqual(['END']);
+      expect(result.user).toBe('test-user');
+    });
+
+    it('should work with vision models and output token limits', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen-vl-max-latest',
+        messages: [
+          {
+            role: 'user',
+            content: [
+              { type: 'text', text: 'Look at this image:' },
+              {
+                type: 'image_url',
+                image_url: { url: 'https://example.com/image.jpg' },
+              },
+            ],
+          },
+        ],
+        max_tokens: 20000, // Exceeds the 8192 limit
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(8192); // Should be limited
+      expect(
+        (result as { vl_high_resolution_images?: boolean })
+          .vl_high_resolution_images,
+      ).toBe(true); // Vision-specific parameter should be preserved
+    });
+
+    it('should handle streaming requests with output token limits', () => {
+      const request: OpenAI.Chat.ChatCompletionCreateParams = {
+        model: 'qwen3-coder-plus',
+        messages: [{ role: 'user', content: 'Hello' }],
+        max_tokens: 100000, // Exceeds the 65536 limit
+        stream: true,
+      };
+
+      const result = provider.buildRequest(request, 'test-prompt-id');
+
+      expect(result.max_tokens).toBe(65536); // Should be limited
+      expect(result.stream).toBe(true); // Streaming should be preserved
+    });
+  });
 });

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

@@ -3,6 +3,7 @@ import type { Config } from '../../../config/config.js';
 import type { ContentGeneratorConfig } from '../../contentGenerator.js';
 import { AuthType } from '../../contentGenerator.js';
 import { DEFAULT_TIMEOUT, DEFAULT_MAX_RETRIES } from '../constants.js';
+import { tokenLimit } from '../../tokenLimits.js';
 import type {
   OpenAICompatibleProvider,
   DashScopeRequestMetadata,
@@ -65,6 +66,19 @@ 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
+   * - Output token limits based on model capabilities
+   * - Vision model specific parameters (vl_high_resolution_images)
+   * - Request metadata for session tracking
+   *
+   * @param request - The original chat completion request parameters
+   * @param userPromptId - Unique identifier for the user prompt for session tracking
+   * @returns Configured request with DashScope-specific parameters applied
+   */
   buildRequest(
     request: OpenAI.Chat.ChatCompletionCreateParams,
     userPromptId: string,
@@ -79,21 +93,28 @@ export class DashScopeOpenAICompatibleProvider
       messages = this.addDashScopeCacheControl(messages, cacheTarget);
     }
 
+    // Apply output token limits based on model capabilities
+    // This ensures max_tokens doesn't exceed the model's maximum output limit
+    const requestWithTokenLimits = this.applyOutputTokenLimit(
+      request,
+      request.model,
+    );
+
     if (request.model.startsWith('qwen-vl')) {
       return {
-        ...request,
+        ...requestWithTokenLimits,
         messages,
         ...(this.buildMetadata(userPromptId) || {}),
         /* @ts-expect-error dashscope exclusive */
         vl_high_resolution_images: true,
-      };
+      } as OpenAI.Chat.ChatCompletionCreateParams;
     }
 
     return {
-      ...request, // Preserve all original parameters including sampling params
+      ...requestWithTokenLimits, // Preserve all original parameters including sampling params and adjusted max_tokens
       messages,
       ...(this.buildMetadata(userPromptId) || {}),
-    };
+    } as OpenAI.Chat.ChatCompletionCreateParams;
   }
 
   buildMetadata(userPromptId: string): DashScopeRequestMetadata {
@@ -246,6 +267,41 @@ export class DashScopeOpenAICompatibleProvider
     return contentArray;
   }
 
+  /**
+   * Apply output token limit to a request's max_tokens parameter.
+   *
+   * Ensures that existing max_tokens parameters don't exceed the model's maximum output
+   * token limit. Only modifies max_tokens when already present in the request.
+   *
+   * @param request - The chat completion request parameters
+   * @param model - The model name to get the output token limit for
+   * @returns The request with max_tokens adjusted to respect the model's limits (if present)
+   */
+  private applyOutputTokenLimit<T extends { max_tokens?: number | null }>(
+    request: T,
+    model: string,
+  ): T {
+    const currentMaxTokens = request.max_tokens;
+
+    // Only process if max_tokens is already present in the request
+    if (currentMaxTokens === undefined || currentMaxTokens === null) {
+      return request; // No max_tokens parameter, return unchanged
+    }
+
+    const modelLimit = tokenLimit(model, 'output');
+
+    // If max_tokens exceeds the model limit, cap it to the model's limit
+    if (currentMaxTokens > modelLimit) {
+      return {
+        ...request,
+        max_tokens: modelLimit,
+      };
+    }
+
+    // If max_tokens is within the limit, return the request unchanged
+    return request;
+  }
+
   /**
    * Check if cache control should be disabled based on configuration.
    *

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

@@ -1,5 +1,10 @@
 import { describe, it, expect } from 'vitest';
-import { normalize, tokenLimit, DEFAULT_TOKEN_LIMIT } from './tokenLimits.js';
+import {
+  normalize,
+  tokenLimit,
+  DEFAULT_TOKEN_LIMIT,
+  DEFAULT_OUTPUT_TOKEN_LIMIT,
+} from './tokenLimits.js';
 
 describe('normalize', () => {
   it('should lowercase and trim the model string', () => {
@@ -225,3 +230,96 @@ describe('tokenLimit', () => {
     expect(tokenLimit('CLAUDE-3.5-SONNET')).toBe(200000);
   });
 });
+
+describe('tokenLimit with output type', () => {
+  describe('Qwen models with output limits', () => {
+    it('should return the correct output limit for qwen3-coder-plus', () => {
+      expect(tokenLimit('qwen3-coder-plus', 'output')).toBe(65536);
+      expect(tokenLimit('qwen3-coder-plus-20250601', 'output')).toBe(65536);
+    });
+
+    it('should return the correct output limit for qwen-vl-max-latest', () => {
+      expect(tokenLimit('qwen-vl-max-latest', 'output')).toBe(8192);
+    });
+  });
+
+  describe('Default output limits', () => {
+    it('should return the default output limit for unknown models', () => {
+      expect(tokenLimit('unknown-model', 'output')).toBe(
+        DEFAULT_OUTPUT_TOKEN_LIMIT,
+      );
+      expect(tokenLimit('gpt-4', 'output')).toBe(DEFAULT_OUTPUT_TOKEN_LIMIT);
+      expect(tokenLimit('claude-3.5-sonnet', 'output')).toBe(
+        DEFAULT_OUTPUT_TOKEN_LIMIT,
+      );
+    });
+
+    it('should return the default output limit for models without specific output patterns', () => {
+      expect(tokenLimit('qwen3-coder-7b', 'output')).toBe(
+        DEFAULT_OUTPUT_TOKEN_LIMIT,
+      );
+      expect(tokenLimit('qwen-plus', 'output')).toBe(
+        DEFAULT_OUTPUT_TOKEN_LIMIT,
+      );
+      expect(tokenLimit('qwen-vl-max', 'output')).toBe(
+        DEFAULT_OUTPUT_TOKEN_LIMIT,
+      );
+    });
+  });
+
+  describe('Input vs Output limits comparison', () => {
+    it('should return different limits for input vs output for qwen3-coder-plus', () => {
+      expect(tokenLimit('qwen3-coder-plus', 'input')).toBe(1048576); // 1M input
+      expect(tokenLimit('qwen3-coder-plus', 'output')).toBe(65536); // 64K output
+    });
+
+    it('should return different limits for input vs output for qwen-vl-max-latest', () => {
+      expect(tokenLimit('qwen-vl-max-latest', 'input')).toBe(131072); // 128K input
+      expect(tokenLimit('qwen-vl-max-latest', 'output')).toBe(8192); // 8K 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(
+        DEFAULT_OUTPUT_TOKEN_LIMIT,
+      ); // 4K output
+    });
+  });
+
+  describe('Backward compatibility', () => {
+    it('should default to input type when no type is specified', () => {
+      expect(tokenLimit('qwen3-coder-plus')).toBe(1048576); // Should be input limit
+      expect(tokenLimit('qwen-vl-max-latest')).toBe(131072); // Should be input limit
+      expect(tokenLimit('unknown-model')).toBe(DEFAULT_TOKEN_LIMIT); // Should be input default
+    });
+
+    it('should work with explicit input type', () => {
+      expect(tokenLimit('qwen3-coder-plus', 'input')).toBe(1048576);
+      expect(tokenLimit('qwen-vl-max-latest', 'input')).toBe(131072);
+      expect(tokenLimit('unknown-model', 'input')).toBe(DEFAULT_TOKEN_LIMIT);
+    });
+  });
+
+  describe('Model normalization with output limits', () => {
+    it('should handle normalized model names for output limits', () => {
+      expect(tokenLimit('QWEN3-CODER-PLUS', 'output')).toBe(65536);
+      expect(tokenLimit('qwen3-coder-plus-20250601', 'output')).toBe(65536);
+      expect(tokenLimit('QWEN-VL-MAX-LATEST', 'output')).toBe(8192);
+    });
+
+    it('should handle complex model strings for output limits', () => {
+      expect(
+        tokenLimit(
+          '  a/b/c|QWEN3-CODER-PLUS:qwen3-coder-plus-2024-05-13  ',
+          'output',
+        ),
+      ).toBe(65536);
+      expect(
+        tokenLimit(
+          'provider/qwen-vl-max-latest:qwen-vl-max-latest-v1',
+          'output',
+        ),
+      ).toBe(8192);
+    });
+  });
+});

packages/core/src/core/tokenLimits.ts

@@ -1,7 +1,15 @@
 type Model = string;
 type TokenCount = number;
 
+/**
+ * Token limit types for different use cases.
+ * - 'input': Maximum input context window size
+ * - 'output': Maximum output tokens that can be generated in a single response
+ */
+export type TokenLimitType = 'input' | 'output';
+
 export const DEFAULT_TOKEN_LIMIT: TokenCount = 131_072; // 128K (power-of-two)
+export const DEFAULT_OUTPUT_TOKEN_LIMIT: TokenCount = 4_096; // 4K tokens
 
 /**
  * Accurate numeric limits:
@@ -18,6 +26,10 @@ const LIMITS = {
   '1m': 1_048_576,
   '2m': 2_097_152,
   '10m': 10_485_760, // 10 million tokens
+  // Output token limits (typically much smaller than input limits)
+  '4k': 4_096,
+  '8k': 8_192,
+  '16k': 16_384,
 } as const;
 
 /** Robust normalizer: strips provider prefixes, pipes/colons, date/version suffixes, etc. */
@@ -36,7 +48,7 @@ export function normalize(model: string): string {
   // - dates (e.g., -20250219), -v1, version numbers, 'latest', 'preview' etc.
   s = s.replace(/-preview/g, '');
   // Special handling for Qwen model names that include "-latest" as part of the model name
-  if (!s.match(/^qwen-(?:plus|flash)-latest$/)) {
+  if (!s.match(/^qwen-(?:plus|flash|vl-max)-latest$/)) {
     // \d{6,} - Match 6 or more digits (dates) like -20250219 (6+ digit dates)
     // \d+x\d+b - Match patterns like 4x8b, -7b, -70b
     // v\d+(?:\.\d+)* - Match version patterns starting with 'v' like -v1, -v1.2, -v2.1.3
@@ -142,16 +154,48 @@ const PATTERNS: Array<[RegExp, TokenCount]> = [
   [/^mistral-large-2.*$/, LIMITS['128k']],
 ];
 
-/** Return the token limit for a model string (uses normalize + ordered regex list). */
+/**
-export function tokenLimit(model: Model): TokenCount {
+ * Output token limit patterns for specific model families.
+ * These patterns define the maximum number of tokens that can be generated
+ * in a single response for specific models.
+ */
+const OUTPUT_PATTERNS: Array<[RegExp, TokenCount]> = [
+  // -------------------
+  // Alibaba / Qwen - DashScope Models
+  // -------------------
+  // Qwen3-Coder-Plus: 65,536 max output tokens
+  [/^qwen3-coder-plus(-.*)?$/, LIMITS['64k']],
+
+  // Qwen-VL-Max-Latest: 8,192 max output tokens
+  [/^qwen-vl-max-latest$/, LIMITS['8k']],
+];
+
+/**
+ * Return the token limit for a model string based on the specified type.
+ *
+ * This function determines the maximum number of tokens for either input context
+ * or output generation based on the model and token type. It uses the same
+ * normalization logic for consistency across both input and output limits.
+ *
+ * @param model - The model name to get the token limit for
+ * @param type - The type of token limit ('input' for context window, 'output' for generation)
+ * @returns The maximum number of tokens allowed for this model and type
+ */
+export function tokenLimit(
+  model: Model,
+  type: TokenLimitType = 'input',
+): TokenCount {
   const norm = normalize(model);
 
-  for (const [regex, limit] of PATTERNS) {
+  // Choose the appropriate patterns based on token type
+  const patterns = type === 'output' ? OUTPUT_PATTERNS : PATTERNS;
+
+  for (const [regex, limit] of patterns) {
     if (regex.test(norm)) {
       return limit;
     }
   }
 
-  // final fallback: DEFAULT_TOKEN_LIMIT (power-of-two 128K)
+  // Return appropriate default based on token type
-  return DEFAULT_TOKEN_LIMIT;
+  return type === 'output' ? DEFAULT_OUTPUT_TOKEN_LIMIT : DEFAULT_TOKEN_LIMIT;
 }