Fix history in classifyQuestion and extract modules (#1012)

* Fix history in classifyQuestion and extract modules

* Add chatValue2RuntimePrompt import and update text formatting

projects/app/src/service/moduleDispatch/agent/classifyQuestion.ts

@@ -24,6 +24,7 @@ import {
   ChatCompletionTool
   ChatCompletionTool
 } from '@fastgpt/global/core/ai/type';
 } from '@fastgpt/global/core/ai/type';
 import { DispatchNodeResultType } from '@fastgpt/global/core/module/runtime/type';
 import { DispatchNodeResultType } from '@fastgpt/global/core/module/runtime/type';
+import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
 
 
 type Props = ModuleDispatchProps<{
 type Props = ModuleDispatchProps<{
   [ModuleInputKeyEnum.aiModel]: string;
   [ModuleInputKeyEnum.aiModel]: string;
@@ -125,7 +126,7 @@ const getFunctionCallSchema = ({
               ? `<背景知识>
               ? `<背景知识>
     ${systemPrompt}
     ${systemPrompt}
     </背景知识>
     </背景知识>
-    
+
     问题: "${userChatInput}"
     问题: "${userChatInput}"
           `
           `
               : userChatInput
               : userChatInput
@@ -284,7 +285,9 @@ const completions = async ({
               typeList: agents
               typeList: agents
                 .map((item) => `{"questionType": "${item.value}", "typeId": "${item.key}"}`)
                 .map((item) => `{"questionType": "${item.value}", "typeId": "${item.key}"}`)
                 .join('\n'),
                 .join('\n'),
-              history: histories.map((item) => `${item.obj}:${item.value}`).join('\n'),
+              history: histories
+                .map((item) => `${item.obj}:${chatValue2RuntimePrompt(item.value).text}`)
+                .join('\n'),
               question: userChatInput
               question: userChatInput
             })
             })
           }
           }

projects/app/src/service/moduleDispatch/agent/extract.ts

@@ -25,6 +25,7 @@ import {
 } from '@fastgpt/global/core/ai/type';
 } from '@fastgpt/global/core/ai/type';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
 import { DispatchNodeResultType } from '@fastgpt/global/core/module/runtime/type';
 import { DispatchNodeResultType } from '@fastgpt/global/core/module/runtime/type';
+import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
 
 
 type Props = ModuleDispatchProps<{
 type Props = ModuleDispatchProps<{
   [ModuleInputKeyEnum.history]?: ChatItemType[];
   [ModuleInputKeyEnum.history]?: ChatItemType[];
@@ -160,7 +161,7 @@ const getFunctionCallSchema = ({
           - 字符串不要换行。
           - 字符串不要换行。
           - 结合上下文和当前问题进行获取。
           - 结合上下文和当前问题进行获取。
           """
           """
-          
+
           当前问题: "${content}"`
           当前问题: "${content}"`
           }
           }
         }
         }
@@ -325,8 +326,8 @@ const completions = async ({
                     }}`
                     }}`
                 )
                 )
                 .join('\n'),
                 .join('\n'),
-              text: `${histories.map((item) => `${item.obj}:${item.value}`).join('\n')}
-      Human: ${content}`
+              text: `${histories.map((item) => `${item.obj}:${chatValue2RuntimePrompt(item.value).text}`).join('\n')}
+Human: ${content}`
             })
             })
           }
           }
         }
         }