Merge pull request #3743 from vloum/feat/add-lobeapi

lobe 添加ChatChat-api 和 models

frontend/.env.example

@@ -1,5 +1,5 @@
 # add a access code to lock your lobe-chat application, you can set a long password to avoid leaking. If this value contains a comma, it is a password array.
-#ACCESS_CODE=lobe66
+# ACCESS_CODE=lobe66
 
 # add your custom model name, multi model separate by comma. for example gpt-3.5-1106,gpt-4-1106
 # CUSTOM_MODELS=model1,model2,model3
@@ -14,7 +14,7 @@
 ########################################
 
 # you openai api key
-OPENAI_API_KEY=sk-xxxxxxxxx
+OPENAI_API_KEY = sk-xxxxxxxxx
 
 # use a proxy to connect to the OpenAI API
 # OPENAI_PROXY_URL=https://api.openai.com/v1
@@ -40,27 +40,27 @@ OPENAI_API_KEY=sk-xxxxxxxxx
 ############ ZhiPu AI Service ##########
 ########################################
 
-#ZHIPU_API_KEY=xxxxxxxxxxxxxxxxxxx.xxxxxxxxxxxxx
+# ZHIPU_API_KEY=xxxxxxxxxxxxxxxxxxx.xxxxxxxxxxxxx
 
 ########################################
 ########## Moonshot AI Service #########
 ########################################
 
-#MOONSHOT_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+# MOONSHOT_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
 ########################################
 ########### Google AI Service ##########
 ########################################
 
-#GOOGLE_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+# GOOGLE_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
 ########################################
 ######### AWS Bedrock Service ##########
 ########################################
 
-#AWS_REGION=us-east-1
-#AWS_ACCESS_KEY_ID=xxxxxxxxxxxxxxxxxxx
-#AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+# AWS_REGION=us-east-1
+# AWS_ACCESS_KEY_ID=xxxxxxxxxxxxxxxxxxx
+# AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
 ########################################
 ######### Ollama AI Service ##########
@@ -73,19 +73,19 @@ OPENAI_API_KEY=sk-xxxxxxxxx
 ########### Mistral AI Service ##########
 ########################################
 
-#MISTRAL_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+# MISTRAL_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
 ########################################
 ######### Perplexity Service ##########
 ########################################
 
-#PERPLEXITY_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+# PERPLEXITY_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
 ########################################
 ######### Anthropic Service ##########
 ########################################
 
-#ANTHROPIC_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
+# ANTHROPIC_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
 
 ########################################
 ############ Market Service ############
@@ -98,6 +98,9 @@ OPENAI_API_KEY=sk-xxxxxxxxx
 ############ Plugin Service ############
 ########################################
 
+# you can use ChatChat.The local/remote ChatChat service url
+CHATCHAT_PROXY_URL = 'http://localhost:7861/v1'
+
 # The LobeChat plugins store index url
 # PLUGINS_INDEX_URL=https://chat-plugins.lobehub.com
 

frontend/src/app/api/chat/[provider]/agentRuntime.ts

@@ -20,6 +20,7 @@ import {
   LobePerplexityAI,
   LobeRuntimeAI,
   LobeZhipuAI,
+  LobeChatChatAI,
   ModelProvider,
 } from '@/libs/agent-runtime';
 import { TraceClient } from '@/libs/traces';
@@ -167,6 +168,11 @@ class AgentRuntime {
         runtimeModel = this.initMistral(payload);
         break;
       }
+
+      case ModelProvider.ChatChat: {
+        runtimeModel = this.initChatChat(payload);
+        break;
+      }
     }
 
     return new AgentRuntime(runtimeModel);
@@ -268,6 +274,13 @@ class AgentRuntime {
 
     return new LobeMistralAI({ apiKey });
   }
+
+  private static initChatChat(payload: JWTPayload) {
+    const { CHATCHAT_PROXY_URL } = getServerConfig();
+    const baseURL = payload?.endpoint || CHATCHAT_PROXY_URL;
+
+    return new LobeChatChatAI({ baseURL });
+  }
 }
 
 export default AgentRuntime;

frontend/src/app/chat/features/SessionListContent/ListItem/index.tsx

@@ -3,6 +3,7 @@ import { useHover } from 'ahooks';
 import { createStyles, useResponsive } from 'antd-style';
 import { memo, useMemo, useRef } from 'react';
 import Avatar from '@/components/Avatar';
+
 const { Item } = List;
 
 const useStyles = createStyles(({ css, token, responsive }) => {

frontend/src/app/settings/(mobile)/features/Header/Home.tsx

@@ -1,6 +1,7 @@
 import { MobileNavBar } from '@lobehub/ui';
 import { memo } from 'react';
 import Logo from '@/components/Logo';
+
 const Header = memo(() => {
   return <MobileNavBar center={<Logo type={'text'} />} />;
 });

frontend/src/app/settings/llm/ChatChat/index.tsx

@@ -0,0 +1,65 @@
+import { Input, Flex } from 'antd';
+import { useTheme } from 'antd-style';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import Avatar from 'next/image';
+
+import { imageUrl } from '@/const/url';
+
+import { ModelProvider } from '@/libs/agent-runtime';
+
+import Checker from '../components/Checker';
+import ProviderConfig from '../components/ProviderConfig';
+import { LLMProviderBaseUrlKey, LLMProviderConfigKey } from '../const';
+
+const providerKey = 'chatchat';
+
+const ChatChatProvider = memo(() => {
+  const { t } = useTranslation('setting');
+  const theme = useTheme();
+
+  return (
+    <ProviderConfig
+      configItems={[
+        {
+          children: <Input allowClear placeholder={t('llm.ChatChat.endpoint.placeholder')} />,
+          desc: t('llm.ChatChat.endpoint.desc'),
+          label: t('llm.ChatChat.endpoint.title'),
+          name: [LLMProviderConfigKey, providerKey, LLMProviderBaseUrlKey],
+        },
+        {
+          children: (
+            <Input.TextArea
+              allowClear
+              placeholder={t('llm.ChatChat.customModelName.placeholder')}
+              style={{ height: 100 }}
+            />
+          ),
+          desc: t('llm.ChatChat.customModelName.desc'),
+          label: t('llm.ChatChat.customModelName.title'),
+          name: [LLMProviderConfigKey, providerKey, 'customModelName'],
+        },
+        {
+          children: <Checker model={'gml-4'} provider={ModelProvider.ChatChat} />,
+          desc: t('llm.ChatChat.checker.desc'),
+          label: t('llm.checker.title'),
+          minWidth: undefined,
+        },
+      ]}
+      provider={providerKey}
+      title={
+        <Flex>
+          <Avatar
+            alt={'Chatchat'}
+            height={24}
+            src={imageUrl('logo.png')}
+            width={24}
+          />
+          { 'ChatChat' }
+        </Flex>
+      }
+    />
+  );
+});
+
+export default ChatChatProvider;

frontend/src/app/settings/llm/index.tsx

@@ -17,6 +17,7 @@ import Ollama from './Ollama';
 import OpenAI from './OpenAI';
 import Perplexity from './Perplexity';
 import Zhipu from './Zhipu';
+import ChatChat from './ChatChat'
 
 export default memo<{ showOllama: boolean }>(({ showOllama }) => {
   const { t } = useTranslation('setting');
@@ -34,6 +35,7 @@ export default memo<{ showOllama: boolean }>(({ showOllama }) => {
       <Anthropic />
       <Mistral />
       {showOllama && <Ollama />}
+      <ChatChat/>
       <Footer>
         <Trans i18nKey="llm.waitingForMore" ns={'setting'}>
           更多模型正在

frontend/src/app/welcome/(mobile)/features/Header.tsx

@@ -1,6 +1,7 @@
 import { MobileNavBar } from '@lobehub/ui';
 import { memo } from 'react';
 import Logo from '@/components/Logo';
+
 const Header = memo(() => <MobileNavBar center={<Logo type={'text'} />} />);
 
 export default Header;

frontend/src/components/FullscreenLoading/index.tsx

@@ -3,6 +3,7 @@ import { Loader2 } from 'lucide-react';
 import { memo } from 'react';
 import { Center, Flexbox } from 'react-layout-kit';
 import Logo from '@/components/Logo';
+
 const FullscreenLoading = memo<{ title?: string }>(({ title }) => {
   return (
     <Flexbox height={'100%'} style={{ userSelect: 'none' }} width={'100%'}>

frontend/src/components/ModelIcon/index.tsx

@@ -12,6 +12,8 @@ import {
   OpenAI,
   Perplexity,
   Tongyi,
+  Spark,
+  Wenxin,
 } from '@lobehub/icons';
 import { memo } from 'react';
 
@@ -25,7 +27,7 @@ const ModelIcon = memo<ModelProviderIconProps>(({ model, size = 12 }) => {
 
   if (model.startsWith('gpt-3')) return <OpenAI.Avatar size={size} type={'gpt3'} />;
   if (model.startsWith('gpt-4')) return <OpenAI.Avatar size={size} type={'gpt4'} />;
-  if (model.startsWith('glm')) return <ChatGLM.Avatar size={size} />;
+  if (model.includes('glm')) return <ChatGLM.Avatar size={size} />;
   if (model.includes('claude')) return <Claude.Avatar size={size} />;
   if (model.includes('titan')) return <Aws.Avatar size={size} />;
   if (model.includes('llama')) return <Meta.Avatar size={size} />;
@@ -38,6 +40,8 @@ const ModelIcon = memo<ModelProviderIconProps>(({ model, size = 12 }) => {
     return <Baichuan.Avatar background={Baichuan.colorPrimary} size={size} />;
   if (model.includes('mistral') || model.includes('mixtral')) return <Mistral.Avatar size={size} />;
   if (model.includes('pplx')) return <Perplexity.Avatar size={size} />;
+  if (model.includes('Spark')) return <Spark.Avatar size={size} />;
+  if (model.includes('ERNIE')) return <Wenxin.Avatar size={size} />;
 });
 
 export default ModelIcon;

frontend/src/components/ModelProviderIcon/index.tsx

@@ -12,9 +12,12 @@ import {
 } from '@lobehub/icons';
 import { memo } from 'react';
 import { Center } from 'react-layout-kit';
+import Avatar from 'next/image';
 
 import { ModelProvider } from '@/libs/agent-runtime';
 
+import { imageUrl } from '@/const/url';
+
 interface ModelProviderIconProps {
   provider?: string;
 }
@@ -69,6 +72,15 @@ const ModelProviderIcon = memo<ModelProviderIconProps>(({ provider }) => {
       return <Anthropic size={20} />;
     }
 
+    case ModelProvider.ChatChat: {
+      return  <Avatar
+                alt={'Chatchat'}
+                height={24}
+                src={imageUrl('logo.png')}
+                width={24}
+              />
+    }
+
     default: {
       return null;
     }

frontend/src/config/modelProviders/chatchat.ts

@@ -0,0 +1,83 @@
+import { ModelProviderCard } from '@/types/llm';
+
+const ChatChat: ModelProviderCard = {
+  id: 'chatchat',
+  chatModels: [
+    {
+      id: 'chatglm3-6b',
+      tokens: 4000,
+      displayName: 'chatglm3-6b',
+      functionCall: true,
+    },
+    {
+      id: 'chatglm_turbo',
+      tokens: 4000,
+      displayName: 'chatglm_turbo',
+    },
+    {
+      id: 'chatglm_std',
+      tokens: 4000,
+      displayName: 'chatglm_std',
+    },
+    {
+      id: 'chatglm_lite',
+      tokens: 4000,
+      displayName: 'chatglm_lite',
+    },
+    {
+      id: 'qwen-turbo',
+      tokens: 4000,
+      displayName: 'qwen-turbo',
+      functionCall: true,
+    },
+    {
+      id: 'qwen-plus',
+      tokens: 4000,
+      displayName: 'qwen-plus',
+    },
+    {
+      id: 'qwen-max',
+      tokens: 4000,
+      displayName: 'qwen-max',
+    },
+    {
+      id: 'qwen:7b',
+      tokens: 4000,
+      displayName: 'qwen:7b',
+      functionCall: true,
+    },
+    {
+      id: 'qwen:14b',
+      tokens: 4000,
+      displayName: 'qwen:14b',
+      functionCall: true,
+    },
+    {
+      id: 'qwen-max-longcontext',
+      tokens: 4000,
+      displayName: 'qwen-max-longcontext',
+    },
+    {
+      id: 'ERNIE-Bot',
+      tokens: 4000,
+      displayName: 'ERNIE-Bot',
+    },
+    {
+      id: 'ERNIE-Bot-turbo',
+      tokens: 4000,
+      displayName: 'ERNIE-Bot-turbo',
+    },
+    {
+      id: 'ERNIE-Bot-4',
+      tokens: 4000,
+      displayName: 'ERNIE-Bot-4',
+    },
+    {
+      id: 'SparkDesk',
+      tokens: 4000,
+      displayName: 'SparkDesk',
+    }
+  ]
+}
+
+export default ChatChat;

frontend/src/config/modelProviders/index.ts

@@ -9,6 +9,7 @@ import OllamaProvider from './ollama';
 import OpenAIProvider from './openai';
 import PerplexityProvider from './perplexity';
 import ZhiPuProvider from './zhipu';
+import ChatChatProvider from './chatchat'
 
 export const LOBE_DEFAULT_MODEL_LIST: ChatModelCard[] = [
   OpenAIProvider.chatModels,
@@ -20,6 +21,7 @@ export const LOBE_DEFAULT_MODEL_LIST: ChatModelCard[] = [
   OllamaProvider.chatModels,
   PerplexityProvider.chatModels,
   AnthropicProvider.chatModels,
+  ChatChatProvider.chatModels,
 ].flat();
 
 export { default as AnthropicProvider } from './anthropic';
@@ -31,3 +33,4 @@ export { default as OllamaProvider } from './ollama';
 export { default as OpenAIProvider } from './openai';
 export { default as PerplexityProvider } from './perplexity';
 export { default as ZhiPuProvider } from './zhipu';
+export { default as ChatChatProvider } from './chatchat' 

frontend/src/config/server/provider.ts

@@ -46,6 +46,9 @@ declare global {
 
       // Ollama Provider;
       OLLAMA_PROXY_URL?: string;
+
+      // ChatChat
+      CHATCHAT_PROXY_URL?: string;
     }
   }
 }
@@ -114,5 +117,7 @@ export const getProviderConfig = () => {
 
     ENABLE_OLLAMA: !!process.env.OLLAMA_PROXY_URL,
     OLLAMA_PROXY_URL: process.env.OLLAMA_PROXY_URL || '',
+
+    CHATCHAT_PROXY_URL: process.env.CHATCHAT_PROXY_URL || '',
   };
 };

frontend/src/const/settings.ts

@@ -91,6 +91,10 @@ export const DEFAULT_LLM_CONFIG: GlobalLLMConfig = {
     apiKey: '',
     enabled: false,
   },
+  chatchat: {
+    enabled: false,
+    endpoint: ''
+  },
 };
 
 export const DEFAULT_AGENT: GlobalDefaultAgent = {

frontend/src/features/Conversation/Error/style.tsx

@@ -3,6 +3,7 @@ import { createStyles } from 'antd-style';
 import { ReactNode, memo } from 'react';
 import { Center, Flexbox } from 'react-layout-kit';
 import Avatar from '@/components/Avatar';
+
 export const useStyles = createStyles(({ css, token }) => ({
   container: css`
     color: ${token.colorText};

frontend/src/libs/agent-runtime/chatchat/index.test.ts

@@ -0,0 +1,102 @@
+// @vitest-environment node
+import OpenAI from 'openai';
+import { Mock, afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
+
+import { ChatStreamCallbacks } from '@/libs/agent-runtime';
+
+import * as debugStreamModule from '../utils/debugStream';
+import { LobeChatChatAI } from './index';
+
+const provider = 'knowledge';
+const defaultBaseURL = 'http://localhost:7861/v1';
+const bizErrorType = 'knowledgeBizError';
+const invalidErrorType = 'InvalidKnowledgeArgs';
+
+// Mock the console.error to avoid polluting test output
+vi.spyOn(console, 'error').mockImplementation(() => {});
+
+let instance: LobeChatChatAI;
+
+beforeEach(() => {
+  instance = new LobeChatChatAI({ apiKey: 'knowledge', baseURL: defaultBaseURL });
+
+  // 使用 vi.spyOn 来模拟 chat.completions.create 方法
+  vi.spyOn(instance['client'].chat.completions, 'create').mockResolvedValue(
+    new ReadableStream() as any,
+  );
+});
+
+afterEach(() => {
+  vi.clearAllMocks();
+});
+
+describe('LobeChatChatAI', () => {
+
+  describe('init', ()=>{
+    it('should init with default baseURL', () => {
+      expect(instance.baseURL).toBe(defaultBaseURL);
+    });
+  })
+
+  describe('chat', () => {
+    it('should return a StreamingTextResponse on successful API call', async () => {
+      // Arrange
+      const mockStream = new ReadableStream();
+      const mockResponse = Promise.resolve(mockStream);
+
+      (instance['client'].chat.completions.create as Mock).mockResolvedValue(mockResponse);
+
+      // Act
+      const result = await instance.chat({
+        messages: [{ content: 'Hello', role: 'user' }],
+        model: 'gpt-3.5-turbo',
+        temperature: 0,
+      });
+
+      // Assert
+      expect(result).toBeInstanceOf(Response);
+    });
+
+    it('should return a StreamingTextResponse on successful API call', async () => {
+      // Arrange
+      const mockResponse = Promise.resolve({
+        "id": "chatcmpl-98QIb3NiYLYlRTB6t0VrJ0wntNW6K",
+        "object": "chat.completion",
+        "created": 1711794745,
+        "model": "gpt-3.5-turbo-0125",
+        "choices": [
+          {
+            "index": 0,
+            "message": {
+              "role": "assistant",
+              "content": "你好！有什么可以帮助你的吗？"
+            },
+            "logprobs": null,
+            "finish_reason": "stop"
+          }
+        ],
+        "usage": {
+          "prompt_tokens": 9,
+          "completion_tokens": 17,
+          "total_tokens": 26
+        },
+        "system_fingerprint": "fp_b28b39ffa8"
+      });
+
+      (instance['client'].chat.completions.create as Mock).mockResolvedValue(mockResponse);
+
+      // Act
+      const result = await instance.chat({
+        messages: [{ content: 'Hello', role: 'user' }],
+        model: 'gpt-3.5-turbo',
+        stream: false,
+        temperature: 0,
+      });
+
+      // Assert
+      expect(result).toBeInstanceOf(Response);
+    });
+  })
+
+
+});

frontend/src/libs/agent-runtime/chatchat/index.ts

@@ -0,0 +1,111 @@
+import { OpenAIStream, StreamingTextResponse } from 'ai';
+import OpenAI, { ClientOptions } from 'openai';
+
+import { LobeRuntimeAI } from '../BaseAI';
+import { AgentRuntimeErrorType } from '../error';
+import { ChatCompetitionOptions, ChatStreamPayload, ModelProvider } from '../types';
+import { AgentRuntimeError } from '../utils/createError';
+import { debugStream } from '../utils/debugStream';
+import { desensitizeUrl } from '../utils/desensitizeUrl';
+import { handleOpenAIError } from '../utils/handleOpenAIError';
+import { Stream } from 'openai/streaming';
+
+const DEFAULT_BASE_URL = 'http://localhost:7861/v1';
+
+
+export class LobeChatChatAI implements LobeRuntimeAI {
+  private client: OpenAI;
+
+  baseURL: string;
+
+  constructor({ apiKey = 'chatChat', baseURL = DEFAULT_BASE_URL, ...res }: ClientOptions) {
+    if (!baseURL) throw AgentRuntimeError.createError(AgentRuntimeErrorType.InvalidChatChatArgs);
+
+    this.client = new OpenAI({ apiKey, baseURL, ...res });
+    this.baseURL = baseURL;
+  }
+
+  async chat(payload: ChatStreamPayload, options?: ChatCompetitionOptions) {
+
+    try {
+      const response = await this.client.chat.completions.create(
+        payload as unknown as (OpenAI.ChatCompletionCreateParamsStreaming | OpenAI.ChatCompletionCreateParamsNonStreaming),
+      );
+
+      if (LobeChatChatAI.isStream(response)) {
+
+        const [prod, debug] = response.tee();
+
+        if (process.env.DEBUG_OLLAMA_CHAT_COMPLETION === '1') {
+          debugStream(debug.toReadableStream()).catch(console.error);
+        }
+
+        return new StreamingTextResponse(OpenAIStream(prod, options?.callback), {
+          headers: options?.headers,
+        });
+      } else {
+
+        if (process.env.DEBUG_OLLAMA_CHAT_COMPLETION === '1') {
+          console.debug(JSON.stringify(response));
+        }
+
+        const stream = LobeChatChatAI.createChatCompletionStream(response?.choices[0].message.content || '');
+
+        return new StreamingTextResponse(stream);
+      }
+    } catch (error) {
+      let desensitizedEndpoint = this.baseURL;
+
+      if (this.baseURL !== DEFAULT_BASE_URL) {
+        desensitizedEndpoint = desensitizeUrl(this.baseURL);
+      }
+
+      if ('status' in (error as any)) {
+        switch ((error as Response).status) {
+          case 401: {
+            throw AgentRuntimeError.chat({
+              endpoint: desensitizedEndpoint,
+              error: error as any,
+              errorType: AgentRuntimeErrorType.InvalidChatChatArgs,
+              provider: ModelProvider.ChatChat,
+            });
+          }
+
+          default: {
+            break;
+          }
+        }
+      }
+
+      const { errorResult, RuntimeError } = handleOpenAIError(error);
+
+      const errorType = RuntimeError || AgentRuntimeErrorType.ChatChatBizError;
+
+      throw AgentRuntimeError.chat({
+        endpoint: desensitizedEndpoint,
+        error: errorResult,
+        errorType,
+        provider: ModelProvider.ChatChat,
+      });
+    }
+  }
+
+  static isStream(obj: unknown): obj is Stream<OpenAI.Chat.Completions.ChatCompletionChunk> {
+    return typeof Stream !== 'undefined' && (obj instanceof Stream || obj instanceof ReadableStream);
+  }
+
+
+  // 创建一个类型为 Stream<string> 的流
+  static createChatCompletionStream(text: string): ReadableStream<string> {
+
+    const stream = new ReadableStream({
+      start(controller) {
+        controller.enqueue(text);
+        controller.close();
+      },
+    });
+
+    return stream;
+  }
+
+}

frontend/src/libs/agent-runtime/error.ts

@@ -34,6 +34,9 @@ export const AgentRuntimeErrorType = {
 
   InvalidAnthropicAPIKey: 'InvalidAnthropicAPIKey',
   AnthropicBizError: 'AnthropicBizError',
+
+  InvalidChatChatArgs: 'InvalidChatChatArgs',
+  ChatChatBizError: 'ChatChatBizError',
 } as const;
 
 export type ILobeAgentRuntimeErrorType =

frontend/src/libs/agent-runtime/index.ts

@@ -2,6 +2,7 @@ export { LobeAnthropicAI } from './anthropic';
 export { LobeAzureOpenAI } from './azureOpenai';
 export * from './BaseAI';
 export { LobeBedrockAI } from './bedrock';
+export { LobeChatChatAI } from './chatchat';
 export * from './error';
 export { LobeGoogleAI } from './google';
 export { LobeMistralAI } from './mistral';

frontend/src/libs/agent-runtime/types/type.ts

@@ -25,6 +25,7 @@ export enum ModelProvider {
   Anthropic = 'anthropic',
   Azure = 'azure',
   Bedrock = 'bedrock',
+  ChatChat = 'chatchat',
   ChatGLM = 'chatglm',
   Google = 'google',
   Mistral = 'mistral',
@@ -33,5 +34,5 @@ export enum ModelProvider {
   OpenAI = 'openai',
   Perplexity = 'perplexity',
   Tongyi = 'tongyi',
-  ZhiPu = 'zhipu',
+  ZhiPu = 'zhipu'
 }

frontend/src/locales/default/common.ts

@@ -111,6 +111,7 @@ export default {
     openai: 'OpenAI',
     perplexity: 'Perplexity',
     zhipu: '智谱AI',
+    chatchat: 'ChatChat',
   },
   noDescription: '暂无描述',
   oauth: 'SSO 登录',

frontend/src/locales/default/setting.ts

@@ -181,6 +181,22 @@ export default {
         title: 'API Key',
       },
     },
+    ChatChat: {
+      title: 'ChatChat',
+      checker: {
+        desc: '测试地址是否正确填写',
+      },
+      customModelName: {
+        desc: '增加自定义模型，多个模型使用逗号（,）隔开',
+        placeholder: 'gml-4',
+        title: '自定义模型名称',
+      },
+      endpoint: {
+        desc: '填入 ChatCaht 接口代理地址，本地未额外指定可留空',
+        placeholder: 'http://127.0.0.1:7861/chat',
+        title: '接口代理地址',
+      },
+    },
 
     checker: {
       button: '检查',

frontend/src/services/_auth.ts

@@ -60,6 +60,10 @@ export const getProviderAuthPayload = (provider: string) => {
       return { apiKey: modelProviderSelectors.mistralAPIKey(useGlobalStore.getState()) };
     }
 
+    case ModelProvider.ChatChat: {
+      return { endpoint: modelProviderSelectors.chatChatProxyUrl(useGlobalStore.getState()) }
+    }
+
     default:
     case ModelProvider.OpenAI: {
       const openai = modelProviderSelectors.openAIConfig(useGlobalStore.getState());

frontend/src/store/global/slices/settings/selectors/modelProvider.ts

@@ -11,6 +11,7 @@ import {
   OpenAIProvider,
   PerplexityProvider,
   ZhiPuProvider,
+  ChatChatProvider,
 } from '@/config/modelProviders';
 import { ChatModelCard, ModelProviderCard } from '@/types/llm';
 import { GlobalLLMProviderKey } from '@/types/settings';
@@ -60,6 +61,9 @@ const perplexityAPIKey = (s: GlobalStore) => modelProvider(s).perplexity.apiKey;
 const enableAnthropic = (s: GlobalStore) => modelProvider(s).anthropic.enabled;
 const anthropicAPIKey = (s: GlobalStore) => modelProvider(s).anthropic.apiKey;
 
+const enableChatChat = (s: GlobalStore) => modelProvider(s).chatchat.enabled;
+const chatChatProxyUrl = (s: GlobalStore) => modelProvider(s).chatchat.endpoint;
+
 // const azureModelList = (s: GlobalStore): ModelProviderCard => {
 //   const azure = azureConfig(s);
 //   return {
@@ -148,6 +152,7 @@ const modelSelectList = (s: GlobalStore): ModelProviderCard[] => {
     { ...PerplexityProvider, enabled: enablePerplexity(s) },
     { ...AnthropicProvider, enabled: enableAnthropic(s) },
     { ...MistralProvider, enabled: enableMistral(s) },
+    { ...ChatChatProvider, enabled: enableChatChat(s) },
   ];
 };
 
@@ -230,4 +235,8 @@ export const modelProviderSelectors = {
   // Mistral
   enableMistral,
   mistralAPIKey,
+
+  // ChatChat
+  enableChatChat,
+  chatChatProxyUrl,
 };

frontend/src/types/settings/modelProvider.ts

@@ -70,6 +70,12 @@ export interface MistralConfig {
   enabled: boolean;
 }
 
+export interface ChatChatConfig {
+  customModelName?: string;
+  enabled?: boolean;
+  endpoint?: string;
+}
+
 export interface GlobalLLMConfig {
   anthropic: AnthropicConfig;
   azure: AzureOpenAIConfig;
@@ -81,6 +87,7 @@ export interface GlobalLLMConfig {
   openAI: OpenAIConfig;
   perplexity: PerplexityConfig;
   zhipu: ZhiPuConfig;
+  chatchat: ChatChatConfig;
 }
 
 export type GlobalLLMProviderKey = keyof GlobalLLMConfig;