merge main

app/client/api.ts

@@ -13,6 +13,7 @@ import { ErnieApi } from "./platforms/baidu";
 import { DoubaoApi } from "./platforms/bytedance";
 import { QwenApi } from "./platforms/alibaba";
 import { HunyuanApi } from "./platforms/tencent";
+import { MoonshotApi } from "./platforms/moonshot";
 
 export const ROLES = ["system", "user", "assistant"] as const;
 export type MessageRole = (typeof ROLES)[number];
@@ -120,6 +121,9 @@ export class ClientApi {
       case ModelProvider.Hunyuan:
         this.llm = new HunyuanApi();
         break;
+      case ModelProvider.Moonshot:
+        this.llm = new MoonshotApi();
+        break;
       default:
         this.llm = new ChatGPTApi();
     }
@@ -202,6 +206,7 @@ export function getHeaders() {
     const isBaidu = modelConfig.providerName == ServiceProvider.Baidu;
     const isByteDance = modelConfig.providerName === ServiceProvider.ByteDance;
     const isAlibaba = modelConfig.providerName === ServiceProvider.Alibaba;
+    const isMoonshot = modelConfig.providerName === ServiceProvider.Moonshot;
     const isEnabledAccessControl = accessStore.enabledAccessControl();
     const apiKey = isGoogle
       ? accessStore.googleApiKey
@@ -213,6 +218,8 @@ export function getHeaders() {
       ? accessStore.bytedanceApiKey
       : isAlibaba
       ? accessStore.alibabaApiKey
+      : isMoonshot
+      ? accessStore.moonshotApiKey
       : accessStore.openaiApiKey;
     return {
       isGoogle,
@@ -221,6 +228,7 @@ export function getHeaders() {
       isBaidu,
       isByteDance,
       isAlibaba,
+      isMoonshot,
       apiKey,
       isEnabledAccessControl,
     };
@@ -272,6 +280,8 @@ export function getClientApi(provider: ServiceProvider): ClientApi {
       return new ClientApi(ModelProvider.Qwen);
     case ServiceProvider.Tencent:
       return new ClientApi(ModelProvider.Hunyuan);
+    case ServiceProvider.Moonshot:
+      return new ClientApi(ModelProvider.Moonshot);
     default:
       return new ClientApi(ModelProvider.GPT);
   }

app/client/platforms/moonshot.ts

@@ -0,0 +1,251 @@
+"use client";
+// azure and openai, using same models. so using same LLMApi.
+import {
+  ApiPath,
+  DEFAULT_API_HOST,
+  DEFAULT_MODELS,
+  Moonshot,
+  REQUEST_TIMEOUT_MS,
+  ServiceProvider,
+} from "@/app/constant";
+import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
+import { collectModelsWithDefaultModel } from "@/app/utils/model";
+import { preProcessImageContent } from "@/app/utils/chat";
+import { cloudflareAIGatewayUrl } from "@/app/utils/cloudflare";
+
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  LLMUsage,
+  MultimodalContent,
+} from "../api";
+import Locale from "../../locales";
+import {
+  EventStreamContentType,
+  fetchEventSource,
+} from "@fortaine/fetch-event-source";
+import { prettyObject } from "@/app/utils/format";
+import { getClientConfig } from "@/app/config/client";
+import { getMessageTextContent } from "@/app/utils";
+
+import { OpenAIListModelResponse, RequestPayload } from "./openai";
+
+export class MoonshotApi 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.Moonshot;
+      baseUrl = isApp ? DEFAULT_API_HOST + "/proxy" + apiPath : apiPath;
+    }
+
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.Moonshot)) {
+      baseUrl = "https://" + baseUrl;
+    }
+
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  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(Moonshot.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) {
+        let responseText = "";
+        let remainText = "";
+        let finished = false;
+
+        // animate response to make it looks smooth
+        function animateResponseText() {
+          if (finished || controller.signal.aborted) {
+            responseText += remainText;
+            console.log("[Response Animation] finished");
+            if (responseText?.length === 0) {
+              options.onError?.(new Error("empty response from server"));
+            }
+            return;
+          }
+
+          if (remainText.length > 0) {
+            const fetchCount = Math.max(1, Math.round(remainText.length / 60));
+            const fetchText = remainText.slice(0, fetchCount);
+            responseText += fetchText;
+            remainText = remainText.slice(fetchCount);
+            options.onUpdate?.(responseText, fetchText);
+          }
+
+          requestAnimationFrame(animateResponseText);
+        }
+
+        // start animaion
+        animateResponseText();
+
+        const finish = () => {
+          if (!finished) {
+            finished = true;
+            options.onFinish(responseText + remainText);
+          }
+        };
+
+        controller.signal.onabort = finish;
+
+        fetchEventSource(chatPath, {
+          ...chatPayload,
+          async onopen(res) {
+            clearTimeout(requestTimeoutId);
+            const contentType = res.headers.get("content-type");
+            console.log(
+              "[OpenAI] request response content type: ",
+              contentType,
+            );
+
+            if (contentType?.startsWith("text/plain")) {
+              responseText = await res.clone().text();
+              return finish();
+            }
+
+            if (
+              !res.ok ||
+              !res.headers
+                .get("content-type")
+                ?.startsWith(EventStreamContentType) ||
+              res.status !== 200
+            ) {
+              const responseTexts = [responseText];
+              let extraInfo = await res.clone().text();
+              try {
+                const resJson = await res.clone().json();
+                extraInfo = prettyObject(resJson);
+              } catch {}
+
+              if (res.status === 401) {
+                responseTexts.push(Locale.Error.Unauthorized);
+              }
+
+              if (extraInfo) {
+                responseTexts.push(extraInfo);
+              }
+
+              responseText = responseTexts.join("\n\n");
+
+              return finish();
+            }
+          },
+          onmessage(msg) {
+            if (msg.data === "[DONE]" || finished) {
+              return finish();
+            }
+            const text = msg.data;
+            try {
+              const json = JSON.parse(text);
+              const choices = json.choices as Array<{
+                delta: { content: string };
+              }>;
+              const delta = choices[0]?.delta?.content;
+              const textmoderation = json?.prompt_filter_results;
+
+              if (delta) {
+                remainText += delta;
+              }
+            } catch (e) {
+              console.error("[Request] parse error", text, msg);
+            }
+          },
+          onclose() {
+            finish();
+          },
+          onerror(e) {
+            options.onError?.(e);
+            throw e;
+          },
+          openWhenHidden: true,
+        });
+      } else {
+        const res = await fetch(chatPath, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message);
+      }
+    } 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 [];
+  }
+}