[update]补充chatchat model

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

@@ -276,8 +276,8 @@ class AgentRuntime {
   }
 
   private static initChatChat(payload: JWTPayload) {
-    const { KNOWLEDGE_PROXY_URL } = getServerConfig();
-    const baseURL = payload?.endpoint || KNOWLEDGE_PROXY_URL;
+    const { CHATCHAT_PROXY_URL } = getServerConfig();
+    const baseURL = payload?.endpoint || CHATCHAT_PROXY_URL;
 
     return new LobeChatChatAI({ baseURL });
   }

frontend/src/components/ModelIcon/index.tsx

@@ -25,7 +25,7 @@ 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} />;

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 +1,20 @@
+import { ModelProviderCard } from '@/types/llm';
+
+const ChatChat: ModelProviderCard = {
+  id: 'chatchat',
+  chatModels: [
+    {
+      id: 'chatglm_pro',
+      tokens: 128_000,
+      displayName: 'chatglm_pro'
+    },
+    {
+      id: 'gpt-4-turbo-2024-04-09',
+      tokens: 128_000,
+      displayName: 'gpt-4-turbo-2024-04-09',
+      vision: true,
+    }
+  ]
+}
+
+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;
     }
   }
 }
@@ -115,6 +118,6 @@ export const getProviderConfig = () => {
     ENABLE_OLLAMA: !!process.env.OLLAMA_PROXY_URL,
     OLLAMA_PROXY_URL: process.env.OLLAMA_PROXY_URL || '',
 
-    KNOWLEDGE_PROXY_URL: process.env.OLLAMA_PROXY_URL || '',
+    CHATCHAT_PROXY_URL: process.env.CHATCHAT_PROXY_URL || '',
   };
 };

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

@@ -26,24 +26,26 @@ export class LobeChatChatAI implements LobeRuntimeAI {
   }
 
   async chat(payload: ChatStreamPayload, options?: ChatCompetitionOptions) {
+
+    console.log('payload---', payload)
     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);
-          }
-        
+          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));
         }
@@ -93,18 +95,18 @@ export class LobeChatChatAI implements LobeRuntimeAI {
     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;
+    const stream = new ReadableStream({
+      start(controller) {
+        controller.enqueue(text);
+        controller.close();
+      },
+    });
+
+    return stream;
   }
 
 }

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

@@ -25,7 +25,7 @@ export enum ModelProvider {
   Anthropic = 'anthropic',
   Azure = 'azure',
   Bedrock = 'bedrock',
-  ChatChat = 'chatChat',
+  ChatChat = 'chatchat',
   ChatGLM = 'chatglm',
   Google = 'google',
   Mistral = 'mistral',

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/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,
 };