feat: model select support close params;perf: dataset params slider;update doc (#3453)

* feat: model select support close params

* perf: dataset params slider

* update doc

* update doc

* add delete log

* perf: ai config overflow

* test

* test

* test

* delete collection tags

* delete collection tags

packages/service/core/ai/utils.ts

@@ -12,10 +12,12 @@ export const computedMaxToken = async ({
   model,
   filterMessages = []
 }: {
-  maxToken: number;
+  maxToken?: number;
   model: LLMModelItemType;
   filterMessages: ChatCompletionMessageParam[];
 }) => {
+  if (maxToken === undefined) return;
+
   maxToken = Math.min(maxToken, model.maxResponse);
   const tokensLimit = model.maxContext;
 
@@ -63,12 +65,13 @@ export const llmCompletionsBodyFormat = <T extends CompletionsBodyType>(
 
   const requestBody: T = {
     ...body,
-    temperature: body.temperature
-      ? computedTemperature({
-          model: modelData,
-          temperature: body.temperature
-        })
-      : undefined,
+    temperature:
+      typeof body.temperature === 'number'
+        ? computedTemperature({
+            model: modelData,
+            temperature: body.temperature
+          })
+        : undefined,
     ...modelData?.defaultConfig
   };
 

packages/service/core/dataset/controller.ts

@@ -71,19 +71,10 @@ export async function delDatasetRelevantData({
   const teamId = datasets[0].teamId;
 
   if (!teamId) {
-    return Promise.reject('teamId is required');
+    return Promise.reject('TeamId is required');
   }
 
-  const datasetIds = datasets.map((item) => String(item._id));
-
-  // Get _id, teamId, fileId, metadata.relatedImgId for all collections
-  const collections = await MongoDatasetCollection.find(
-    {
-      teamId,
-      datasetId: { $in: datasetIds }
-    },
-    '_id teamId datasetId fileId metadata'
-  ).lean();
+  const datasetIds = datasets.map((item) => item._id);
 
   // delete training data
   await MongoDatasetTraining.deleteMany({
@@ -91,20 +82,27 @@ export async function delDatasetRelevantData({
     datasetId: { $in: datasetIds }
   });
 
-  // image and file
-  await delCollectionRelatedSource({ collections, session });
-
-  // delete dataset.datas
-  await MongoDatasetData.deleteMany({ teamId, datasetId: { $in: datasetIds } }, { session });
-
-  // delete collections
-  await MongoDatasetCollection.deleteMany(
+  // Get _id, teamId, fileId, metadata.relatedImgId for all collections
+  const collections = await MongoDatasetCollection.find(
     {
       teamId,
       datasetId: { $in: datasetIds }
     },
+    '_id teamId datasetId fileId metadata',
     { session }
-  );
+  ).lean();
+
+  // image and file
+  await delCollectionRelatedSource({ collections, session });
+
+  // delete collections
+  await MongoDatasetCollection.deleteMany({
+    teamId,
+    datasetId: { $in: datasetIds }
+  }).session(session);
+
+  // delete dataset.datas(Not need session)
+  await MongoDatasetData.deleteMany({ teamId, datasetId: { $in: datasetIds } });
 
   // no session delete: delete files, vector data
   await deleteDatasetDataVector({ teamId, datasetIds });

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

@@ -46,7 +46,7 @@ export const runToolWithFunctionCall = async (
     user,
     stream,
     workflowStreamResponse,
-    params: { temperature = 0, maxToken = 4000, aiChatVision }
+    params: { temperature, maxToken, aiChatVision }
   } = workflowProps;
 
   // Interactive

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

@@ -54,7 +54,7 @@ export const runToolWithPromptCall = async (
     user,
     stream,
     workflowStreamResponse,
-    params: { temperature = 0, maxToken = 4000, aiChatVision }
+    params: { temperature, maxToken, aiChatVision }
   } = workflowProps;
 
   if (interactiveEntryToolParams) {

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

@@ -94,7 +94,7 @@ export const runToolWithToolChoice = async (
     stream,
     user,
     workflowStreamResponse,
-    params: { temperature = 0, maxToken = 4000, aiChatVision }
+    params: { temperature, maxToken, aiChatVision }
   } = workflowProps;
 
   if (maxRunToolTimes <= 0 && response) {

packages/service/core/workflow/dispatch/chat/oneapi.ts

@@ -71,8 +71,8 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
     chatConfig,
     params: {
       model,
-      temperature = 0,
-      maxToken = 4000,
+      temperature,
+      maxToken,
       history = 6,
       quoteQA,
       userChatInput,