优化建议模式；修复多索引训练失败问题 (#1043)

* doc

* Optimize possible null Pointers and parts of Ux

* fix: mulity index training error

packages/service/core/dataset/training/controller.ts

@@ -9,7 +9,6 @@ import { getCollectionWithDataset } from '../controller';
 import { TrainingModeEnum } from '@fastgpt/global/core/dataset/constants';
 import { simpleText } from '@fastgpt/global/common/string/tools';
 import { countPromptTokens } from '@fastgpt/global/common/string/tiktoken';
-import type { VectorModelItemType, LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
 
 export const lockTrainingDataByTeamId = async (teamId: string): Promise<any> => {
   try {

packages/service/core/workflow/dispatch/agent/runTool/promptCall.ts

@@ -164,6 +164,15 @@ export const runToolWithPromptCall = async (
     parseAnswerResult.toolName = toolModule.name;
     parseAnswerResult.toolAvatar = toolModule.avatar;
 
+    // run tool flow
+    const startParams = (() => {
+      try {
+        return json5.parse(parseAnswerResult.arguments);
+      } catch (error) {
+        return {};
+      }
+    })();
+
     // SSE response to client
     if (stream && detail) {
       responseWrite({
@@ -182,15 +191,6 @@ export const runToolWithPromptCall = async (
       });
     }
 
-    // run tool flow
-    const startParams = (() => {
-      try {
-        return json5.parse(parseAnswerResult.arguments);
-      } catch (error) {
-        return {};
-      }
-    })();
-
     const moduleRunResponse = await dispatchWorkFlow({
       ...props,
       runtimeModules: runtimeModules.map((module) => ({
@@ -374,7 +374,7 @@ const parseAnswer = (str: string): FunctionCallCompletion | string => {
       return {
         id: getNanoid(),
         name: toolCall.toolId,
-        arguments: JSON.stringify(toolCall.arguments)
+        arguments: JSON.stringify(toolCall.arguments || toolCall.parameters)
       };
     } catch (error) {
       return str;

packages/service/core/workflow/dispatch/agent/runTool/toolChoice.ts

@@ -332,8 +332,8 @@ async function streamResponse({
 
     const responseChoice = part.choices?.[0]?.delta;
     // console.log(JSON.stringify(responseChoice, null, 2));
-    if (responseChoice.content) {
-      const content = responseChoice?.content || '';
+    if (responseChoice?.content) {
+      const content = responseChoice.content || '';
       textAnswer += content;
 
       responseWrite({
@@ -343,7 +343,7 @@ async function streamResponse({
           text: content
         })
       });
-    } else if (responseChoice.tool_calls?.[0]) {
+    } else if (responseChoice?.tool_calls?.[0]) {
       const toolCall: ChatCompletionMessageToolCall = responseChoice.tool_calls[0];
 
       // 流响应中,每次只会返回一个工具. 如果带了 id，说明是执行一个工具