🐛 fix: MiniMax output long content interrupted by non-existent error

src/libs/agent-runtime/minimax/index.test.ts

@@ -253,10 +253,10 @@ describe('LobeMinimaxAI', () => {
         });
       });
 
-      it('should include max tokens when model is abab6.5-chat', () => {
+      it('should include max tokens when model is abab6.5t-chat', () => {
         const payload: ChatStreamPayload = {
           messages: [{ content: 'Hello', role: 'user' }],
-          model: 'abab6.5-chat',
+          model: 'abab6.5t-chat',
           temperature: 0,
           top_p: 0,
         };
@@ -265,9 +265,9 @@ describe('LobeMinimaxAI', () => {
 
         expect(result).toEqual({
           messages: [{ content: 'Hello', role: 'user' }],
-          model: 'abab6.5-chat',
+          model: 'abab6.5t-chat',
           stream: true,
-          max_tokens: 2048,
+          max_tokens: 4096,
         });
       });
     });

src/libs/agent-runtime/minimax/index.ts

@@ -127,9 +127,14 @@ export class LobeMinimaxAI implements LobeRuntimeAI {
   // https://www.minimaxi.com/document/guides/chat-model/V2
   private getMaxTokens(model: string): number | undefined {
     switch (model) {
-      case 'abab6.5-chat':
+      case 'abab6.5t-chat':
+      case 'abab6.5g-chat':
+      case 'abab5.5s-chat': 
+      case 'abab5.5-chat':{
+        return 4096;
+      }
       case 'abab6.5s-chat': {
-        return 2048;
+        return 8192;
       }
     }
   }
@@ -139,12 +144,17 @@ export class LobeMinimaxAI implements LobeRuntimeAI {
 
     return {
       ...params,
-      max_tokens: this.getMaxTokens(payload.model),
+      frequency_penalty: undefined,
+      max_tokens: 
+        payload.max_tokens !== undefined 
+        ? payload.max_tokens 
+        : this.getMaxTokens(payload.model),
+      presence_penalty: undefined,
       stream: true,
       temperature: 
-            temperature === undefined || temperature <= 0
-            ? undefined
-            : temperature / 2,
+        temperature === undefined || temperature <= 0
+        ? undefined
+        : temperature / 2,
 
       tools: params.tools?.map((tool) => ({
         function: {

src/libs/agent-runtime/utils/streams/minimax.test.ts

@@ -0,0 +1,24 @@
+import { describe, it, expect } from 'vitest';
+import { processDoubleData } from './minimax'; // 假设文件名为 minimax.ts
+
+describe('processDoubleData', () => {
+  it('should remove the second "data: {"id": and everything after it when matchCount is 2', () => {
+    const chunkValue = `data: {"id":"first"} some other text 
+    
+    data: {"id":"second"} more text`;
+    const result = processDoubleData(chunkValue);
+    expect(result).toBe('data: {"id":"first"} some other text');
+  });
+
+  it('should not modify chunkValue when matchCount is not 2', () => {
+    const chunkValue = `data: {"id":"first"} some other text`;
+    const result = processDoubleData(chunkValue);
+    expect(result).toBe(chunkValue);
+  });
+
+  it('should not modify chunkValue when matchCount is more than 2', () => {
+    const chunkValue = `data: {"id":"first"} some other text data: {"id":"second"} more text data: {"id":"third"} even more text`;
+    const result = processDoubleData(chunkValue);
+    expect(result).toBe(chunkValue);
+  });
+});

src/libs/agent-runtime/utils/streams/minimax.ts

@@ -4,6 +4,19 @@ import { ChatStreamCallbacks } from '../../types';
 import { transformOpenAIStream } from './openai';
 import { createCallbacksTransformer, createSSEProtocolTransformer } from './protocol';
 
+export const processDoubleData = (chunkValue: string): string => {
+  const dataPattern = /data: {"id":"/g;
+  const matchCount = (chunkValue.match(dataPattern) || []).length;
+  let modifiedChunkValue = chunkValue;
+  if (matchCount === 2) {
+    const secondDataIdIndex = chunkValue.indexOf('data: {"id":', chunkValue.indexOf('data: {"id":') + 1);
+    if (secondDataIdIndex !== -1) {
+      modifiedChunkValue = chunkValue.slice(0, secondDataIdIndex).trim();
+    }
+  }
+  return modifiedChunkValue;
+};
+
 const unit8ArrayToJSONChunk = (unit8Array: Uint8Array): OpenAI.ChatCompletionChunk => {
   const decoder = new TextDecoder();
 
@@ -12,6 +25,8 @@ const unit8ArrayToJSONChunk = (unit8Array: Uint8Array): OpenAI.ChatCompletionChu
   // chunkValue example:
   // data: {"id":"028a65377137d57aaceeffddf48ae99f","choices":[{"finish_reason":"tool_calls","index":0,"delta":{"role":"assistant","tool_calls":[{"id":"call_function_7371372822","type":"function","function":{"name":"realtime-weather____fetchCurrentWeather","arguments":"{\"city\": [\"杭州\", \"北京\"]}"}}]}}],"created":155511,"model":"abab6.5s-chat","object":"chat.completion.chunk"}
 
+  chunkValue = processDoubleData(chunkValue);
+
   // so we need to remove `data:` prefix and then parse it as JSON
   if (chunkValue.startsWith('data:')) {
     chunkValue = chunkValue.slice(5).trim();