4.6.8-alpha (#804)

* perf: redirect request and err log replace

perf: dataset openapi

feat: session

fix: retry input error

feat: 468 doc

sub page

feat: standard sub

perf: rerank tip

perf: rerank tip

perf: api sdk

perf: openapi

sub plan

perf: sub ui

fix: ts

* perf: init log

* fix: variable select

* sub page

* icon

* perf: llm model config

* perf: menu ux

* perf: system store

* perf: publish app name

* fix: init data

* perf: flow edit ux

* fix: value type format and ux

* fix prompt editor default value (#13)

* fix prompt editor default value

* fix prompt editor update when not focus

* add key with variable

---------

Co-authored-by: Archer <545436317@qq.com>

* fix: value type

* doc

* i18n

* import path

* home page

* perf: mongo session running

* fix: ts

* perf: use toast

* perf: flow edit

* perf: sse response

* slider ui

* fetch error

* fix prompt editor rerender when not focus by key defaultvalue (#14)

* perf: prompt editor

* feat: dataset search concat

* perf: doc

* fix:ts

* perf: doc

* fix json editor onblur value (#15)

* faq

* vector model default config

* ipv6

---------

Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com>

projects/app/src/service/moduleDispatch/tools/cfr.ts

@@ -4,7 +4,7 @@ import { ModuleInputKeyEnum, ModuleOutputKeyEnum } from '@fastgpt/global/core/mo
 import { getHistories } from '../utils';
 import { getAIApi } from '@fastgpt/service/core/ai/config';
 import { replaceVariable } from '@fastgpt/global/common/string/tools';
-import { ModelTypeEnum, getExtractModel } from '@/service/core/ai/model';
+import { ModelTypeEnum, getLLMModel } from '@/service/core/ai/model';
 import { formatModelPrice2Store } from '@/service/support/wallet/bill/utils';
 
 type Props = ModuleDispatchProps<{
@@ -20,7 +20,7 @@ type Response = {
 
 export const dispatchCFR = async ({
   histories,
-  inputs: { model, systemPrompt, history, userChatInput }
+  params: { model, systemPrompt, history, userChatInput }
 }: Props): Promise<Response> => {
   if (!userChatInput) {
     return Promise.reject('Question is empty');
@@ -34,7 +34,7 @@ export const dispatchCFR = async ({
     };
   }
 
-  const extractModel = getExtractModel(model);
+  const extractModel = getLLMModel(model);
   const chatHistories = getHistories(history, histories);
 
   const systemFewShot = systemPrompt
@@ -51,7 +51,9 @@ A: ${systemPrompt}
 
   const concatFewShot = `${systemFewShot}${historyFewShot}`.trim();
 
-  const ai = getAIApi(undefined, 480000);
+  const ai = getAIApi({
+    timeout: 480000
+  });
 
   const result = await ai.chat.completions.create({
     model: extractModel.model,
@@ -85,7 +87,7 @@ A: ${systemPrompt}
     model: extractModel.model,
     inputLen: inputTokens,
     outputLen: outputTokens,
-    type: ModelTypeEnum.extract
+    type: ModelTypeEnum.llm
   });
 
   return {