support api-version and change default-model in adding azure-openai and openai

api/apps/llm_app.py

@@ -58,7 +58,7 @@ def set_api_key():
     chat_passed, embd_passed, rerank_passed = False, False, False
     factory = req["llm_factory"]
     msg = ""
-    for llm in LLMService.query(fid=factory)[:3]:
+    for llm in LLMService.query(fid=factory):
         if not embd_passed and llm.model_type == LLMType.EMBEDDING.value:
             mdl = EmbeddingModel[factory](
                 req["api_key"], llm.llm_name, base_url=req.get("base_url"))
@@ -77,21 +77,25 @@ def set_api_key():
                                  {"temperature": 0.9,'max_tokens':50})
                 if m.find("**ERROR**") >=0:
                     raise Exception(m)
+                chat_passed = True
             except Exception as e:
                 msg += f"\nFail to access model({llm.llm_name}) using this api key." + str(
                     e)
-            chat_passed = True
         elif not rerank_passed and llm.model_type == LLMType.RERANK:
             mdl = RerankModel[factory](
                 req["api_key"], llm.llm_name, base_url=req.get("base_url"))
             try:
                 arr, tc = mdl.similarity("What's the weather?", ["Is it sunny today?"])
                 if len(arr) == 0 or tc == 0:
                     raise Exception("Fail")
+                rerank_passed = True
+                print(f'passed model rerank{llm.llm_name}',flush=True)
             except Exception as e:
                 msg += f"\nFail to access model({llm.llm_name}) using this api key." + str(
                     e)
-            rerank_passed = True
+        if any([embd_passed, chat_passed, rerank_passed]):
+            msg = ''
+            break
 
     if msg:
         return get_data_error_result(retmsg=msg)
@@ -183,6 +187,9 @@ def apikey_json(keys):
         llm_name = req["llm_name"]
         api_key = apikey_json(["google_project_id", "google_region", "google_service_account_key"])
 
+    elif factory == "Azure-OpenAI":
+        llm_name = req["llm_name"]
+        api_key = apikey_json(["api_key", "api_version"])
     else:
         llm_name = req["llm_name"]
         api_key = req.get("api_key", "xxxxxxxxxxxxxxx")

conf/llm_factories.json

@@ -619,13 +619,13 @@
                     "model_type": "chat,image2text"
                 },
                 {
-                    "llm_name": "gpt-35-turbo",
+                    "llm_name": "gpt-3.5-turbo",
                     "tags": "LLM,CHAT,4K",
                     "max_tokens": 4096,
                     "model_type": "chat"
                 },
                 {
-                    "llm_name": "gpt-35-turbo-16k",
+                    "llm_name": "gpt-3.5-turbo-16k",
                     "tags": "LLM,CHAT,16k",
                     "max_tokens": 16385,
                     "model_type": "chat"

rag/llm/chat_model.py

@@ -114,7 +114,9 @@ def __init__(self, key, model_name="deepseek-chat", base_url="https://api.deepse
 
 class AzureChat(Base):
     def __init__(self, key, model_name, **kwargs):
-        self.client = AzureOpenAI(api_key=key, azure_endpoint=kwargs["base_url"], api_version="2024-02-01")
+        api_key = json.loads(key).get('api_key', '')
+        api_version = json.loads(key).get('api_version', '2024-02-01')
+        self.client = AzureOpenAI(api_key=api_key, azure_endpoint=kwargs["base_url"], api_version=api_version)
         self.model_name = model_name
 
 

rag/llm/cv_model.py

@@ -160,7 +160,9 @@ def describe(self, image, max_tokens=300):
 
 class AzureGptV4(Base):
     def __init__(self, key, model_name, lang="Chinese", **kwargs):
-        self.client = AzureOpenAI(api_key=key, azure_endpoint=kwargs["base_url"], api_version="2024-02-01")
+        api_key = json.loads(key).get('api_key', '')
+        api_version = json.loads(key).get('api_version', '2024-02-01')
+        self.client = AzureOpenAI(api_key=api_key, azure_endpoint=kwargs["base_url"], api_version=api_version)
         self.model_name = model_name
         self.lang = lang
 

rag/llm/embedding_model.py

@@ -137,7 +137,9 @@ def encode_queries(self, text):
 class AzureEmbed(OpenAIEmbed):
     def __init__(self, key, model_name, **kwargs):
         from openai.lib.azure import AzureOpenAI
-        self.client = AzureOpenAI(api_key=key, azure_endpoint=kwargs["base_url"], api_version="2024-02-01")
+        api_key = json.loads(key).get('api_key', '')
+        api_version = json.loads(key).get('api_version', '2024-02-01')
+        self.client = AzureOpenAI(api_key=api_key, azure_endpoint=kwargs["base_url"], api_version=api_version)
         self.model_name = model_name
 
 

web/src/locales/en.ts

@@ -581,6 +581,8 @@ The above is the content you need to summarize.`,
       GoogleRegionMessage: 'Please input Google Cloud Region',
       modelProvidersWarn:
         'Please add both embedding model and LLM in <b>Settings > Model providers</b>  firstly.',
+      apiVersion: 'API-Version',
+      apiVersionMessage: 'Please input API version',
     },
     message: {
       registered: 'Registered!',

web/src/locales/zh.ts

@@ -557,6 +557,8 @@ export default {
       GoogleRegionMessage: '请输入 Google Cloud 区域',
       modelProvidersWarn:
         '请首先在 <b>设置 > 模型提供商</b> 中添加嵌入模型和 LLM。',
+      apiVersion: 'API版本',
+      apiVersionMessage: '请输入API版本!',
     },
     message: {
       registered: '注册成功',

web/src/pages/user-setting/setting-model/azure-openai-modal/index.tsx

@@ -0,0 +1,128 @@
+import { useTranslate } from '@/hooks/common-hooks';
+import { IModalProps } from '@/interfaces/common';
+import { IAddLlmRequestBody } from '@/interfaces/request/llm';
+import { Form, Input, Modal, Select, Switch } from 'antd';
+import omit from 'lodash/omit';
+
+type FieldType = IAddLlmRequestBody & {
+  api_version: string;
+  vision: boolean;
+};
+
+const { Option } = Select;
+
+const AzureOpenAIModal = ({
+  visible,
+  hideModal,
+  onOk,
+  loading,
+  llmFactory,
+}: IModalProps<IAddLlmRequestBody> & { llmFactory: string }) => {
+  const [form] = Form.useForm<FieldType>();
+
+  const { t } = useTranslate('setting');
+
+  const handleOk = async () => {
+    const values = await form.validateFields();
+    const modelType =
+      values.model_type === 'chat' && values.vision
+        ? 'image2text'
+        : values.model_type;
+
+    const data = {
+      ...omit(values, ['vision']),
+      model_type: modelType,
+      llm_factory: llmFactory,
+    };
+    console.info(data);
+
+    onOk?.(data);
+  };
+  const optionsMap = {
+    Default: [
+      { value: 'chat', label: 'chat' },
+      { value: 'embedding', label: 'embedding' },
+      { value: 'image2text', label: 'image2text' },
+    ],
+  };
+  const getOptions = (factory: string) => {
+    return optionsMap.Default;
+  };
+  return (
+    <Modal
+      title={t('addLlmTitle', { name: llmFactory })}
+      open={visible}
+      onOk={handleOk}
+      onCancel={hideModal}
+      okButtonProps={{ loading }}
+    >
+      <Form
+        name="basic"
+        style={{ maxWidth: 600 }}
+        autoComplete="off"
+        layout={'vertical'}
+        form={form}
+      >
+        <Form.Item<FieldType>
+          label={t('modelType')}
+          name="model_type"
+          initialValue={'embedding'}
+          rules={[{ required: true, message: t('modelTypeMessage') }]}
+        >
+          <Select placeholder={t('modelTypeMessage')}>
+            {getOptions(llmFactory).map((option) => (
+              <Option key={option.value} value={option.value}>
+                {option.label}
+              </Option>
+            ))}
+          </Select>
+        </Form.Item>
+        <Form.Item<FieldType>
+          label={t('addLlmBaseUrl')}
+          name="api_base"
+          rules={[{ required: true, message: t('baseUrlNameMessage') }]}
+        >
+          <Input placeholder={t('baseUrlNameMessage')} />
+        </Form.Item>
+        <Form.Item<FieldType>
+          label={t('apiKey')}
+          name="api_key"
+          rules={[{ required: false, message: t('apiKeyMessage') }]}
+        >
+          <Input placeholder={t('apiKeyMessage')} />
+        </Form.Item>
+        <Form.Item<FieldType>
+          label={t('modelName')}
+          name="llm_name"
+          initialValue="gpt-3.5-turbo"
+          rules={[{ required: true, message: t('modelNameMessage') }]}
+        >
+          <Input placeholder={t('modelNameMessage')} />
+        </Form.Item>
+        <Form.Item<FieldType>
+          label={t('apiVersion')}
+          name="api_version"
+          initialValue="2024-02-01"
+          rules={[{ required: false, message: t('apiVersionMessage') }]}
+        >
+          <Input placeholder={t('apiVersionMessage')} />
+        </Form.Item>
+        <Form.Item noStyle dependencies={['model_type']}>
+          {({ getFieldValue }) =>
+            getFieldValue('model_type') === 'chat' && (
+              <Form.Item
+                label={t('vision')}
+                valuePropName="checked"
+                name={'vision'}
+              >
+                <Switch />
+              </Form.Item>
+            )
+          }
+        </Form.Item>
+      </Form>
+    </Modal>
+  );
+};
+
+export default AzureOpenAIModal;

web/src/pages/user-setting/setting-model/hooks.ts

@@ -353,6 +353,33 @@ export const useSubmitBedrock = () => {
   };
 };
 
+export const useSubmitAzure = () => {
+  const { addLlm, loading } = useAddLlm();
+  const {
+    visible: AzureAddingVisible,
+    hideModal: hideAzureAddingModal,
+    showModal: showAzureAddingModal,
+  } = useSetModalState();
+
+  const onAzureAddingOk = useCallback(
+    async (payload: IAddLlmRequestBody) => {
+      const ret = await addLlm(payload);
+      if (ret === 0) {
+        hideAzureAddingModal();
+      }
+    },
+    [hideAzureAddingModal, addLlm],
+  );
+
+  return {
+    AzureAddingLoading: loading,
+    onAzureAddingOk,
+    AzureAddingVisible,
+    hideAzureAddingModal,
+    showAzureAddingModal,
+  };
+};
+
 export const useHandleDeleteLlm = (llmFactory: string) => {
   const { deleteLlm } = useDeleteLlm();
   const showDeleteConfirm = useShowDeleteConfirm();

web/src/pages/user-setting/setting-model/index.tsx

@@ -29,6 +29,7 @@ import SettingTitle from '../components/setting-title';
 import { isLocalLlmFactory } from '../utils';
 import TencentCloudModal from './Tencent-modal';
 import ApiKeyModal from './api-key-modal';
+import AzureOpenAIModal from './azure-openai-modal';
 import BedrockModal from './bedrock-modal';
 import { IconMap } from './constant';
 import FishAudioModal from './fish-audio-modal';
@@ -37,6 +38,7 @@ import {
   useHandleDeleteFactory,
   useHandleDeleteLlm,
   useSubmitApiKey,
+  useSubmitAzure,
   useSubmitBedrock,
   useSubmitFishAudio,
   useSubmitGoogle,
@@ -109,7 +111,8 @@ const ModelCard = ({ item, clickApiKey }: IModelCardProps) => {
                 item.name === 'BaiduYiyan' ||
                 item.name === 'Fish Audio' ||
                 item.name === 'Tencent Cloud' ||
-                item.name === 'Google Cloud'
+                item.name === 'Google Cloud' ||
+                item.name === 'Azure OpenAI'
                   ? t('addTheModel')
                   : 'API-Key'}
                 <SettingOutlined />
@@ -242,6 +245,14 @@ const UserSettingModel = () => {
     showBedrockAddingModal,
   } = useSubmitBedrock();
 
+  const {
+    AzureAddingVisible,
+    hideAzureAddingModal,
+    showAzureAddingModal,
+    onAzureAddingOk,
+    AzureAddingLoading,
+  } = useSubmitAzure();
+
   const ModalMap = useMemo(
     () => ({
       Bedrock: showBedrockAddingModal,
@@ -252,6 +263,7 @@ const UserSettingModel = () => {
       'Fish Audio': showFishAudioAddingModal,
       'Tencent Cloud': showTencentCloudAddingModal,
       'Google Cloud': showGoogleAddingModal,
+      'Azure-OpenAI': showAzureAddingModal,
     }),
     [
       showBedrockAddingModal,
@@ -262,6 +274,7 @@ const UserSettingModel = () => {
       showyiyanAddingModal,
       showFishAudioAddingModal,
       showGoogleAddingModal,
+      showAzureAddingModal,
     ],
   );
 
@@ -435,6 +448,13 @@ const UserSettingModel = () => {
         loading={bedrockAddingLoading}
         llmFactory={'Bedrock'}
       ></BedrockModal>
+      <AzureOpenAIModal
+        visible={AzureAddingVisible}
+        hideModal={hideAzureAddingModal}
+        onOk={onAzureAddingOk}
+        loading={AzureAddingLoading}
+        llmFactory={'Azure-OpenAI'}
+      ></AzureOpenAIModal>
     </section>
   );
 };

web/src/pages/user-setting/setting-model/ollama-modal/index.tsx

@@ -101,7 +101,7 @@ const OllamaModal = ({
         <Form.Item<FieldType>
           label={t('modelType')}
           name="model_type"
-          initialValue={'chat'}
+          initialValue={'embedding'}
           rules={[{ required: true, message: t('modelTypeMessage') }]}
         >
           <Select placeholder={t('modelTypeMessage')}>