since #5984, add DeepSeek as a new ModelProvider (with deepseek-chat&deepseek-corder models), so that user can use openai and deepseek at same time with different api url&key

app/client/api.ts

@@ -20,6 +20,7 @@ import { QwenApi } from "./platforms/alibaba";
 import { HunyuanApi } from "./platforms/tencent";
 import { MoonshotApi } from "./platforms/moonshot";
 import { SparkApi } from "./platforms/iflytek";
+import { DeepSeekApi } from "./platforms/deepseek";
 import { XAIApi } from "./platforms/xai";
 import { ChatGLMApi } from "./platforms/glm";
 
@@ -154,6 +155,9 @@ export class ClientApi {
       case ModelProvider.Iflytek:
         this.llm = new SparkApi();
         break;
+      case ModelProvider.DeepSeek:
+        this.llm = new DeepSeekApi();
+        break;
       case ModelProvider.XAI:
         this.llm = new XAIApi();
         break;
@@ -247,6 +251,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
     const isAlibaba = modelConfig.providerName === ServiceProvider.Alibaba;
     const isMoonshot = modelConfig.providerName === ServiceProvider.Moonshot;
     const isIflytek = modelConfig.providerName === ServiceProvider.Iflytek;
+    const isDeepSeek = modelConfig.providerName === ServiceProvider.DeepSeek;
     const isXAI = modelConfig.providerName === ServiceProvider.XAI;
     const isChatGLM = modelConfig.providerName === ServiceProvider.ChatGLM;
     const isEnabledAccessControl = accessStore.enabledAccessControl();
@@ -264,6 +269,8 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       ? accessStore.moonshotApiKey
       : isXAI
       ? accessStore.xaiApiKey
+      : isDeepSeek
+      ? accessStore.deepseekApiKey
       : isChatGLM
       ? accessStore.chatglmApiKey
       : isIflytek
@@ -280,6 +287,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
       isAlibaba,
       isMoonshot,
       isIflytek,
+      isDeepSeek,
       isXAI,
       isChatGLM,
       apiKey,
@@ -302,6 +310,13 @@ export function getHeaders(ignoreHeaders: boolean = false) {
     isAzure,
     isAnthropic,
     isBaidu,
+    isByteDance,
+    isAlibaba,
+    isMoonshot,
+    isIflytek,
+    isDeepSeek,
+    isXAI,
+    isChatGLM,
     apiKey,
     isEnabledAccessControl,
   } = getConfig();
@@ -344,6 +359,8 @@ export function getClientApi(provider: ServiceProvider): ClientApi {
       return new ClientApi(ModelProvider.Moonshot);
     case ServiceProvider.Iflytek:
       return new ClientApi(ModelProvider.Iflytek);
+    case ServiceProvider.DeepSeek:
+      return new ClientApi(ModelProvider.DeepSeek);
     case ServiceProvider.XAI:
       return new ClientApi(ModelProvider.XAI);
     case ServiceProvider.ChatGLM:

app/client/platforms/deepseek.ts

@@ -0,0 +1,200 @@
+"use client";
+// azure and openai, using same models. so using same LLMApi.
+import {
+  ApiPath,
+  DEEPSEEK_BASE_URL,
+  DeepSeek,
+  REQUEST_TIMEOUT_MS,
+} from "@/app/constant";
+import {
+  useAccessStore,
+  useAppConfig,
+  useChatStore,
+  ChatMessageTool,
+  usePluginStore,
+} from "@/app/store";
+import { stream } from "@/app/utils/chat";
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  SpeechOptions,
+} from "../api";
+import { getClientConfig } from "@/app/config/client";
+import { getMessageTextContent } from "@/app/utils";
+import { RequestPayload } from "./openai";
+import { fetch } from "@/app/utils/stream";
+
+export class DeepSeekApi implements LLMApi {
+  private disableListModels = true;
+
+  path(path: string): string {
+    const accessStore = useAccessStore.getState();
+
+    let baseUrl = "";
+
+    if (accessStore.useCustomConfig) {
+      baseUrl = accessStore.moonshotUrl;
+    }
+
+    if (baseUrl.length === 0) {
+      const isApp = !!getClientConfig()?.isApp;
+      const apiPath = ApiPath.DeepSeek;
+      baseUrl = isApp ? DEEPSEEK_BASE_URL : apiPath;
+    }
+
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.DeepSeek)) {
+      baseUrl = "https://" + baseUrl;
+    }
+
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  speech(options: SpeechOptions): Promise<ArrayBuffer> {
+    throw new Error("Method not implemented.");
+  }
+
+  async chat(options: ChatOptions) {
+    const messages: ChatOptions["messages"] = [];
+    for (const v of options.messages) {
+      const content = getMessageTextContent(v);
+      messages.push({ role: v.role, content });
+    }
+
+    const modelConfig = {
+      ...useAppConfig.getState().modelConfig,
+      ...useChatStore.getState().currentSession().mask.modelConfig,
+      ...{
+        model: options.config.model,
+        providerName: options.config.providerName,
+      },
+    };
+
+    const requestPayload: RequestPayload = {
+      messages,
+      stream: options.config.stream,
+      model: modelConfig.model,
+      temperature: modelConfig.temperature,
+      presence_penalty: modelConfig.presence_penalty,
+      frequency_penalty: modelConfig.frequency_penalty,
+      top_p: modelConfig.top_p,
+      // max_tokens: Math.max(modelConfig.max_tokens, 1024),
+      // Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
+    };
+
+    console.log("[Request] openai payload: ", requestPayload);
+
+    const shouldStream = !!options.config.stream;
+    const controller = new AbortController();
+    options.onController?.(controller);
+
+    try {
+      const chatPath = this.path(DeepSeek.ChatPath);
+      const chatPayload = {
+        method: "POST",
+        body: JSON.stringify(requestPayload),
+        signal: controller.signal,
+        headers: getHeaders(),
+      };
+
+      // make a fetch request
+      const requestTimeoutId = setTimeout(
+        () => controller.abort(),
+        REQUEST_TIMEOUT_MS,
+      );
+
+      if (shouldStream) {
+        const [tools, funcs] = usePluginStore
+          .getState()
+          .getAsTools(
+            useChatStore.getState().currentSession().mask?.plugin || [],
+          );
+        return stream(
+          chatPath,
+          requestPayload,
+          getHeaders(),
+          tools as any,
+          funcs,
+          controller,
+          // parseSSE
+          (text: string, runTools: ChatMessageTool[]) => {
+            // console.log("parseSSE", text, runTools);
+            const json = JSON.parse(text);
+            const choices = json.choices as Array<{
+              delta: {
+                content: string;
+                tool_calls: ChatMessageTool[];
+              };
+            }>;
+            const tool_calls = choices[0]?.delta?.tool_calls;
+            if (tool_calls?.length > 0) {
+              const index = tool_calls[0]?.index;
+              const id = tool_calls[0]?.id;
+              const args = tool_calls[0]?.function?.arguments;
+              if (id) {
+                runTools.push({
+                  id,
+                  type: tool_calls[0]?.type,
+                  function: {
+                    name: tool_calls[0]?.function?.name as string,
+                    arguments: args,
+                  },
+                });
+              } else {
+                // @ts-ignore
+                runTools[index]["function"]["arguments"] += args;
+              }
+            }
+            return choices[0]?.delta?.content;
+          },
+          // processToolMessage, include tool_calls message and tool call results
+          (
+            requestPayload: RequestPayload,
+            toolCallMessage: any,
+            toolCallResult: any[],
+          ) => {
+            // @ts-ignore
+            requestPayload?.messages?.splice(
+              // @ts-ignore
+              requestPayload?.messages?.length,
+              0,
+              toolCallMessage,
+              ...toolCallResult,
+            );
+          },
+          options,
+        );
+      } else {
+        const res = await fetch(chatPath, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message, res);
+      }
+    } catch (e) {
+      console.log("[Request] failed to make a chat request", e);
+      options.onError?.(e as Error);
+    }
+  }
+  async usage() {
+    return {
+      used: 0,
+      total: 0,
+    };
+  }
+
+  async models(): Promise<LLMModel[]> {
+    return [];
+  }
+}