feat(模型管理): 支持阿里云百炼大模型

Author: wxg0103

apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/aliyun_bai_lian_model_provider.py

@@ -13,11 +13,13 @@
     ModelInfoManage
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.embedding import \
     AliyunBaiLianEmbeddingCredential
+from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.llm import BaiLianLLMModelCredential
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.reranker import \
     AliyunBaiLianRerankerCredential
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.stt import AliyunBaiLianSTTModelCredential
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.credential.tts import AliyunBaiLianTTSModelCredential
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.embedding import AliyunBaiLianEmbedding
+from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.llm import BaiLianChatModel
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.reranker import AliyunBaiLianReranker
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.stt import AliyunBaiLianSpeechToText
 from setting.models_provider.impl.aliyun_bai_lian_model_provider.model.tts import AliyunBaiLianTextToSpeech
@@ -27,6 +29,7 @@
 aliyun_bai_lian_tts_model_credential = AliyunBaiLianTTSModelCredential()
 aliyun_bai_lian_stt_model_credential = AliyunBaiLianSTTModelCredential()
 aliyun_bai_lian_embedding_model_credential = AliyunBaiLianEmbeddingCredential()
+aliyun_bai_lian_llm_model_credential = BaiLianLLMModelCredential()
 
 model_info_list = [ModelInfo('gte-rerank',
                              '阿里巴巴通义实验室开发的GTE-Rerank文本排序系列模型，开发者可以通过LlamaIndex框架进行集成高质量文本检索、排序。',
@@ -41,11 +44,17 @@
                              '通用文本向量，是通义实验室基于LLM底座的多语言文本统一向量模型，面向全球多个主流语种，提供高水准的向量服务，帮助开发者将文本数据快速转换为高质量的向量数据。',
                              ModelTypeConst.EMBEDDING, aliyun_bai_lian_embedding_model_credential,
                              AliyunBaiLianEmbedding),
+                   ModelInfo('qwen-turbo', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
+                             BaiLianChatModel),
+                   ModelInfo('qwen-plus', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
+                             BaiLianChatModel),
+                   ModelInfo('qwen-max', '', ModelTypeConst.LLM, aliyun_bai_lian_llm_model_credential,
+                             BaiLianChatModel)
                    ]
 
 model_info_manage = ModelInfoManage.builder().append_model_info_list(model_info_list).append_default_model_info(
     model_info_list[1]).append_default_model_info(model_info_list[2]).append_default_model_info(
-    model_info_list[3]).build()
+    model_info_list[3]).append_default_model_info(model_info_list[4]).build()
 
 
 class AliyunBaiLianModelProvider(IModelProvider):

apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/credential/llm.py

@@ -0,0 +1,62 @@
+# coding=utf-8
+from typing import Dict
+
+from langchain_core.messages import HumanMessage
+
+from common import forms
+from common.exception.app_exception import AppApiException
+from common.forms import BaseForm, TooltipLabel
+from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode
+
+
+class BaiLianLLMModelParams(BaseForm):
+    temperature = forms.SliderField(TooltipLabel('温度', '较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定'),
+                                    required=True, default_value=0.7,
+                                    _min=0.1,
+                                    _max=1.0,
+                                    _step=0.01,
+                                    precision=2)
+
+    max_tokens = forms.SliderField(
+        TooltipLabel('输出最大Tokens', '指定模型可生成的最大token个数'),
+        required=True, default_value=800,
+        _min=1,
+        _max=100000,
+        _step=1,
+        precision=0)
+
+
+class BaiLianLLMModelCredential(BaseForm, BaseModelCredential):
+
+    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], provider,
+                 raise_exception=False):
+        model_type_list = provider.get_model_type_list()
+        if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
+            raise AppApiException(ValidCode.valid_error.value, f'{model_type} 模型类型不支持')
+
+        for key in ['api_base', 'api_key']:
+            if key not in model_credential:
+                if raise_exception:
+                    raise AppApiException(ValidCode.valid_error.value, f'{key} 字段为必填字段')
+                else:
+                    return False
+        try:
+            model = provider.get_model(model_type, model_name, model_credential)
+            model.invoke([HumanMessage(content='你好')])
+        except Exception as e:
+            if isinstance(e, AppApiException):
+                raise e
+            if raise_exception:
+                raise AppApiException(ValidCode.valid_error.value, f'校验失败,请检查参数是否正确: {str(e)}')
+            else:
+                return False
+        return True
+
+    def encryption_dict(self, model: Dict[str, object]):
+        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
+
+    api_base = forms.TextInputField('API 域名', required=True)
+    api_key = forms.PasswordInputField('API Key', required=True)
+
+    def get_model_params_setting_form(self, model_name):
+        return BaiLianLLMModelParams()

apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/model/llm.py

@@ -0,0 +1,22 @@
+#!/usr/bin/env python
+# -*- coding: UTF-8 -*-
+from typing import List, Dict
+
+from setting.models_provider.base_model_provider import MaxKBBaseModel
+from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI
+
+
+class BaiLianChatModel(MaxKBBaseModel, BaseChatOpenAI):
+    @staticmethod
+    def is_cache_model():
+        return False
+
+    @staticmethod
+    def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
+        optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
+        return BaiLianChatModel(
+            model=model_name,
+            openai_api_base=model_credential.get('api_base'),
+            openai_api_key=model_credential.get('api_key'),
+            **optional_params
+        )

ui/src/views/login/index.vue

@@ -158,7 +158,12 @@ function redirectAuth(authType: string) {
         const redirectUrl = eval(`\`${config.redirectUrl}\``)
         let url
         if (authType === 'CAS') {
-          url = `${config.ldpUri}?service=${encodeURIComponent(redirectUrl)}`
+          url = config.ldpUri
+          if (url.indexOf('?') !== -1) {
+            url = `${config.ldpUri}&service=${encodeURIComponent(redirectUrl)}`
+          } else {
+            url = `${config.ldpUri}?service=${encodeURIComponent(redirectUrl)}`
+          }
         }
         if (authType === 'OIDC') {
           url = `${config.authEndpoint}?client_id=${config.clientId}&redirect_uri=${redirectUrl}&response_type=code&scope=openid+profile+email`