simple mode tool reason (#3984)

* simple mode tool reason

* model config cannot set empty

* perf: read files code

* perf: mongo gridfs chunks

* perf: doc

packages/service/common/file/gridfs/controller.ts

@@ -52,7 +52,9 @@ export async function uploadFile({
   const stats = await fsp.stat(path);
   if (!stats.isFile()) return Promise.reject(`${path} is not a file`);
 
-  const readStream = fs.createReadStream(path);
+  const readStream = fs.createReadStream(path, {
+    highWaterMark: 256 * 1024
+  });
 
   // Add default metadata
   metadata.teamId = teamId;
@@ -62,9 +64,27 @@ export async function uploadFile({
   // create a gridfs bucket
   const bucket = getGridBucket(bucketName);
 
+  const fileSize = stats.size;
+  const chunkSizeBytes = (() => {
+    // 计算理想块大小：文件大小 ÷ 目标块数(10)
+    const idealChunkSize = Math.ceil(fileSize / 10);
+
+    // 确保块大小至少为512KB
+    const minChunkSize = 512 * 1024; // 512KB
+
+    // 取理想块大小和最小块大小中的较大值
+    let chunkSize = Math.max(idealChunkSize, minChunkSize);
+
+    // 将块大小向上取整到最接近的64KB的倍数，使其更整齐
+    chunkSize = Math.ceil(chunkSize / (64 * 1024)) * (64 * 1024);
+
+    return chunkSize;
+  })();
+
   const stream = bucket.openUploadStream(filename, {
     metadata,
-    contentType
+    contentType,
+    chunkSizeBytes
   });
 
   // save to gridfs

packages/service/common/file/gridfs/utils.ts

@@ -3,15 +3,13 @@ import { PassThrough } from 'stream';
 
 export const gridFsStream2Buffer = (stream: NodeJS.ReadableStream) => {
   return new Promise<Buffer>((resolve, reject) => {
-    const chunks: Buffer[] = [];
-    let totalLength = 0;
+    const chunks: Uint8Array[] = [];
 
     stream.on('data', (chunk) => {
       chunks.push(chunk);
-      totalLength += chunk.length;
     });
     stream.on('end', () => {
-      const resultBuffer = Buffer.concat(chunks, totalLength); // 一次性拼接
+      const resultBuffer = Buffer.concat(chunks); // 一次性拼接
       resolve(resultBuffer);
     });
     stream.on('error', (err) => {
@@ -21,25 +19,26 @@ export const gridFsStream2Buffer = (stream: NodeJS.ReadableStream) => {
 };
 
 export const stream2Encoding = async (stream: NodeJS.ReadableStream) => {
-  const start = Date.now();
   const copyStream = stream.pipe(new PassThrough());
 
   /* get encoding */
   const buffer = await (() => {
     return new Promise<Buffer>((resolve, reject) => {
-      let tmpBuffer: Buffer = Buffer.from([]);
+      const chunks: Uint8Array[] = [];
+      let totalLength = 0;
 
       stream.on('data', (chunk) => {
-        if (tmpBuffer.length < 200) {
-          tmpBuffer = Buffer.concat([tmpBuffer, chunk]);
+        if (totalLength < 200) {
+          chunks.push(chunk);
+          totalLength += chunk.length;
 
-          if (tmpBuffer.length >= 200) {
-            resolve(tmpBuffer);
+          if (totalLength >= 200) {
+            resolve(Buffer.concat(chunks));
           }
         }
       });
       stream.on('end', () => {
-        resolve(tmpBuffer);
+        resolve(Buffer.concat(chunks));
       });
       stream.on('error', (err) => {
         reject(err);

packages/service/core/ai/audio/speech.ts

@@ -43,13 +43,13 @@ export async function text2Speech({
   const readableStream = response.body as unknown as NodeJS.ReadableStream;
   readableStream.pipe(res);
 
-  let bufferStore = Buffer.from([]);
+  const chunks: Uint8Array[] = [];
 
   readableStream.on('data', (chunk) => {
-    bufferStore = Buffer.concat([bufferStore, chunk]);
+    chunks.push(chunk);
   });
   readableStream.on('end', () => {
-    onSuccess({ model, buffer: bufferStore });
+    onSuccess({ model, buffer: Buffer.concat(chunks) });
   });
   readableStream.on('error', (e) => {
     onError(e);

packages/service/core/ai/config/provider/DeepSeek.json

@@ -46,8 +46,8 @@
       "defaultConfig": {},
       "fieldMap": {},
       "type": "llm",
-      "showTopP": true,
-      "showStopSign": true
+      "showTopP": false,
+      "showStopSign": false
     }
   ]
 }

packages/web/i18n/en/account_model.json

@@ -21,6 +21,7 @@
   "edit_channel": "Channel configuration",
   "enable_channel": "Enable",
   "forbid_channel": "Disabled",
+  "input maxToken_tip": "The model max_tokens parameter, if left blank, means that the model does not support it.",
   "key_type": "API key format:",
   "log": "Call log",
   "log_detail": "Log details",
@@ -28,6 +29,7 @@
   "log_status": "Status",
   "mapping": "Model Mapping",
   "mapping_tip": "A valid Json is required. \nThe model can be mapped when sending a request to the actual address. \nFor example:\n{\n  \n  \"gpt-4o\": \"gpt-4o-test\"\n\n}\n\nWhen FastGPT requests the gpt-4o model, the gpt-4o-test model is sent to the actual address, instead of gpt-4o.",
+  "max_temperature_tip": "If the model temperature parameter is not filled in, it means that the model does not support the temperature parameter.",
   "model": "Model",
   "model_name": "Model name",
   "model_test": "Model testing",

packages/web/i18n/zh-CN/account_model.json

@@ -21,6 +21,7 @@
   "edit_channel": "渠道配置",
   "enable_channel": "启用",
   "forbid_channel": "禁用",
+  "input maxToken_tip": "模型 max_tokens 参数，如果留空，则代表模型不支持该参数。",
   "key_type": "API key 格式: ",
   "log": "调用日志",
   "log_detail": "日志详情",
@@ -28,6 +29,7 @@
   "log_status": "状态",
   "mapping": "模型映射",
   "mapping_tip": "需填写一个有效 Json。可在向实际地址发送请求时，对模型进行映射。例如：\n{\n  \"gpt-4o\": \"gpt-4o-test\"\n}\n当 FastGPT 请求 gpt-4o 模型时，会向实际地址发送 gpt-4o-test 的模型，而不是 gpt-4o。",
+  "max_temperature_tip": "模型 temperature 参数，不填则代表模型不支持 temperature 参数。",
   "model": "模型",
   "model_name": "模型名",
   "model_test": "模型测试",

packages/web/i18n/zh-Hant/account_model.json

@@ -19,6 +19,7 @@
   "edit_channel": "渠道配置",
   "enable_channel": "啟用",
   "forbid_channel": "禁用",
+  "input maxToken_tip": "模型 max_tokens 參數，如果留空，則代表模型不支持該參數。",
   "key_type": "API key 格式:",
   "log": "調用日誌",
   "log_detail": "日誌詳情",
@@ -26,6 +27,7 @@
   "log_status": "狀態",
   "mapping": "模型映射",
   "mapping_tip": "需填寫一個有效 Json。\n可在向實際地址發送請求時，對模型進行映射。\n例如：\n{\n  \n  \"gpt-4o\": \"gpt-4o-test\"\n\n}\n\n當 FastGPT 請求 gpt-4o 模型時，會向實際地址發送 gpt-4o-test 的模型，而不是 gpt-4o。",
+  "max_temperature_tip": "模型 temperature 參數，不填則代表模型不支持 temperature 參數。",
   "model": "模型",
   "model_name": "模型名",
   "model_test": "模型測試",