V4.8.20 feature (#3686)

* Aiproxy (#3649)

* model config

* feat: model config ui

* perf: rename variable

* feat: custom request url

* perf: model buffer

* perf: init model

* feat: json model config

* auto login

* fix: ts

* update packages

* package

* fix: dockerfile

* feat: usage filter & export & dashbord (#3538)

* feat: usage filter & export & dashbord

* adjust ui

* fix tmb scroll

* fix code & selecte all

* merge

* perf: usages list；perf: move components (#3654)

* perf: usages list

* team sub plan load

* perf: usage dashboard code

* perf: dashboard ui

* perf: move components

* add default model config (#3653)

* 4.8.20 test (#3656)

* provider

* perf: model config

* model perf (#3657)

* fix: model

* dataset quote

* perf: model config

* model tag

* doubao model config

* perf: config model

* feat: model test

* fix: POST 500 error on dingtalk bot (#3655)

* feat: default model (#3662)

* move model config

* feat: default model

* fix: false triggerd org selection (#3661)

* export usage csv i18n (#3660)

* export usage csv i18n

* fix build

* feat: markdown extension (#3663)

* feat: markdown extension

* media cros

* rerank test

* default price

* perf: default model

* fix: cannot custom provider

* fix: default model select

* update bg

* perf: default model selector

* fix: usage export

* i18n

* fix: rerank

* update init extension

* perf: ip limit check

* doubao model order

* web default modle

* perf: tts selector

* perf: tts error

* qrcode package

* reload buffer (#3665)

* reload buffer

* reload buffer

* tts selector

* fix: err tip (#3666)

* fix: err tip

* perf: training queue

* doc

* fix interactive edge (#3659)

* fix interactive edge

* fix

* comment

* add gemini model

* fix: chat model select

* perf: supplement assistant empty response (#3669)

* perf: supplement assistant empty response

* check array

* perf: max_token count;feat: support resoner output;fix: member scroll (#3681)

* perf: supplement assistant empty response

* check array

* perf: max_token count

* feat: support resoner output

* member scroll

* update provider order

* i18n

* fix: stream response (#3682)

* perf: supplement assistant empty response

* check array

* fix: stream response

* fix: model config cannot set to null

* fix: reasoning response (#3684)

* perf: supplement assistant empty response

* check array

* fix: reasoning response

* fix: reasoning response

* doc (#3685)

* perf: supplement assistant empty response

* check array

* doc

* lock

* animation

* update doc

* update compose

* doc

* doc

---------

Co-authored-by: heheer <heheer@sealos.io>
Co-authored-by: a.e. <49438478+I-Info@users.noreply.github.com>

packages/service/core/ai/embedding/index.ts

@@ -1,11 +1,11 @@
-import { VectorModelItemType } from '@fastgpt/global/core/ai/model.d';
+import { EmbeddingModelItemType } from '@fastgpt/global/core/ai/model.d';
 import { getAIApi } from '../config';
 import { countPromptTokens } from '../../../common/string/tiktoken/index';
 import { EmbeddingTypeEnm } from '@fastgpt/global/core/ai/constants';
 import { addLog } from '../../../common/system/log';
 
 type GetVectorProps = {
-  model: VectorModelItemType;
+  model: EmbeddingModelItemType;
   input: string;
   type?: `${EmbeddingTypeEnm}`;
 };
@@ -24,13 +24,23 @@ export async function getVectorsByText({ model, input, type }: GetVectorProps) {
 
     // input text to vector
     const result = await ai.embeddings
-      .create({
-        ...model.defaultConfig,
-        ...(type === EmbeddingTypeEnm.db && model.dbConfig),
-        ...(type === EmbeddingTypeEnm.query && model.queryConfig),
-        model: model.model,
-        input: [input]
-      })
+      .create(
+        {
+          ...model.defaultConfig,
+          ...(type === EmbeddingTypeEnm.db && model.dbConfig),
+          ...(type === EmbeddingTypeEnm.query && model.queryConfig),
+          model: model.model,
+          input: [input]
+        },
+        model.requestUrl && model.requestAuth
+          ? {
+              path: model.requestUrl,
+              headers: {
+                Authorization: `Bearer ${model.requestAuth}`
+              }
+            }
+          : {}
+      )
       .then(async (res) => {
         if (!res.data) {
           addLog.error('Embedding API is not responding', res);