Update main.ts

main.ts

@@ -1,799 +1,437 @@
-import { serve } from "https://deno.land/[email protected]/http/server.ts";
+// freeai_proxy.ts
+import { serve } from "https://deno.land/[email protected]/http/server.ts";
 
-// 定义常量
-const SOPHNET_BASE_URL = "https://www.sophnet.com/api";
-const PROJECT_UUID = "Ar79PWUQUAhjJOja2orHs";
-const PORT = 7860;
-const TOKEN_KEY = "sophnet_anonymous_token";
-const MAX_RETRIES = 5; // 增加最大重试次数
-const INITIAL_RETRY_DELAY_MS = 100; // 初始重试延迟（毫秒）
-const MAX_RETRY_DELAY_MS = 5000; // 最大重试延迟（毫秒）
+const FREEAI_API_BASE = "https://freeaichatplayground.com/api/v1";
+const DEFAULT_MODEL = "Deepseek R1";
 
-// 初始化Deno KV
-const kv = await Deno.openKv();
-
-// 定义接口
-interface AnonymousTokenResponse {
-  status: number;
-  message: string;
-  result: {
-    anonymousToken: string;
-    expires: string;
-  };
-  timestamp: number;
-}
-
-interface SophNetModel {
-  id: number;
-  serviceUuid: string | null;
-  projectUuid: string;
-  displayName: string;
-  modelFamily: string;
-  available: boolean;
-  isBaseModel: boolean;
-  features: any;
-  supportedStream: boolean;
-  supportedImageInputs: boolean;
-  schema: Array<{
-    name: string;
-    displayName: string;
-    des: string;
-    type: string;
-    range: number[];
-    defaultValue: number;
-    required: boolean;
-  }>;
-}
-
-interface ModelsResponse {
-  status: number;
-  message: string;
-  result: SophNetModel[];
-  timestamp: number;
-}
-
-interface TokenInfo {
-  token: string;
-  expires: string;
-}
-
-interface Message {
-  role: string;
-  content: string;
-}
-
-interface Reference {
-  content: string;
-  id: string;
-  index: number;
-  title: string;
-  type: string;
-  url: string;
-}
-
-// 随机生成一个用户代理字符串
-function getRandomUserAgent(): string {
-  const userAgents = [
-    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36",
-    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.1 Safari/605.1.15",
-    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36 Edg/119.0.2151.44",
-    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36",
-    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36",
-    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36",
-    "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0",
-    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:109.0) Gecko/20100101 Firefox/119.0",
-    "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
-  ];
-  return userAgents[Math.floor(Math.random() * userAgents.length)];
-}
-
-// 计算指数退避延迟
-function getExponentialBackoffDelay(retryCount: number): number {
-  const delay = INITIAL_RETRY_DELAY_MS * Math.pow(2, retryCount);
-  const jitter = Math.random() * INITIAL_RETRY_DELAY_MS; // 添加随机抖动
-  return Math.min(delay + jitter, MAX_RETRY_DELAY_MS);
-}
-
-// 延迟函数
-function sleep(ms: number): Promise<void> {
-  return new Promise(resolve => setTimeout(resolve, ms));
-}
-
-// 从KV获取token
-async function getTokenFromKV(): Promise<TokenInfo | null> {
-  const tokenEntry = await kv.get<TokenInfo>([TOKEN_KEY]);
-  return tokenEntry.value;
-}
-
-// 存储token到KV
-async function storeTokenToKV(token: string, expires: string): Promise<void> {
-  await kv.set([TOKEN_KEY], { token, expires });
-}
-
-// 获取匿名token
-async function getAnonymousToken(retryCount = 0): Promise<string> {
+// 获取可用模型列表
+async function fetchModels() {
   try {
-    const response = await fetch(`${SOPHNET_BASE_URL}/sys/login/anonymous`, {
-      method: "GET",
+    const response = await fetch(`${FREEAI_API_BASE}/models`, {
+      method: "POST",
       headers: {
-        "Accept": "application/json",
-        "User-Agent": getRandomUserAgent(), // 使用随机UA
+        "Content-Type": "application/json",
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:137.0) Gecko/20100101 Firefox/137.0",
+        "Origin": "https://freeaichatplayground.com",
+        "Referer": "https://freeaichatplayground.com/chat",
       },
+      body: JSON.stringify({ type: "text" }),
     });
 
-    // 如果是 429 或 500 错误，进行重试
-    if ((response.status === 429 || response.status >= 500) && retryCount < MAX_RETRIES) {
-      const delay = getExponentialBackoffDelay(retryCount);
-      console.warn(`Get token failed with status ${response.status}. Retrying in ${delay}ms... (${retryCount + 1}/${MAX_RETRIES})`);
-      await sleep(delay);
-      return getAnonymousToken(retryCount + 1);
-    }
-
     if (!response.ok) {
-      throw new Error(`Failed to get token: ${response.status}`);
+      throw new Error(`Failed to fetch models: ${response.status}`);
     }
 
-    const data = await response.json() as AnonymousTokenResponse;
-    await storeTokenToKV(data.result.anonymousToken, data.result.expires);
-    return data.result.anonymousToken;
+    const models = await response.json();
+    return models;
   } catch (error) {
-    console.error("Error getting anonymous token:", error);
-    throw error;
+    console.error("Error fetching models:", error);
+    return [];
   }
 }
 
-// 获取有效token
-async function getValidToken(): Promise<string> {
-  // 先尝试从KV获取
-  const tokenInfo = await getTokenFromKV();
-
-  // 如果KV中有token且未过期，则使用该token
-  if (tokenInfo && new Date(tokenInfo.expires) > new Date()) {
-    return tokenInfo.token;
-  }
-
-  // 否则获取新token
-  return await getAnonymousToken();
+// 转换为 OpenAI 格式的模型列表
+function transformModelsToOpenAIFormat(models) {
+  return {
+    object: "list",
+    data: models.map(model => ({
+      id: model.name,
+      object: "model",
+      created: new Date(model.createdAt).getTime() / 1000,
+      owned_by: model.provider,
+      permission: [],
+      root: model.name,
+      parent: null,
+    })),
+  };
 }
 
-// 获取模型列表
-async function getModels(token: string, retryCount = 0): Promise<SophNetModel[]> {
+// 解析 SSE 格式的响应
+async function parseSSEResponse(response) {
+  const reader = response.body.getReader();
+  let content = "";
+  let id = `chatcmpl-${Date.now()}`;
+  let finishReason = "stop";
+  
   try {
-    const response = await fetch(
-      `${SOPHNET_BASE_URL}/public/playground/models?projectUuid=${PROJECT_UUID}`,
-      {
-        method: "GET",
-        headers: {
-          "Accept": "application/json",
-          "User-Agent": getRandomUserAgent(), // 使用随机UA
-          "Authorization": `Bearer anon-${token}`,
-        },
-      },
-    );
-
-    // 如果是401或403错误，尝试刷新token并重试
-    if ((response.status === 401 || response.status === 403) && retryCount < MAX_RETRIES) {
-      console.log(`Token expired, refreshing and retrying models request (${retryCount + 1}/${MAX_RETRIES})...`);
-      const newToken = await getAnonymousToken();
-      return await getModels(newToken, retryCount + 1);
+    while (true) {
+      const { done, value } = await reader.read();
+      if (done) break;
+      
+      const chunk = new TextDecoder().decode(value);
+      content += chunk;
     }
     
-    // 如果是 429 或 500 错误，进行重试
-    if ((response.status === 429 || response.status >= 500) && retryCount < MAX_RETRIES) {
-        const delay = getExponentialBackoffDelay(retryCount);
-        console.warn(`Get models failed with status ${response.status}. Retrying in ${delay}ms... (${retryCount + 1}/${MAX_RETRIES})`);
-        await sleep(delay);
-        return getModels(token, retryCount + 1); // 使用当前token重试，如果失败会在上面的逻辑中刷新
+    // 解析所有 SSE 消息
+    const messages = content.split('\n\n')
+      .filter(msg => msg.trim().startsWith('data:'))
+      .map(msg => {
+        const jsonStr = msg.replace('data:', '').trim();
+        try {
+          return JSON.parse(jsonStr);
+        } catch (e) {
+          console.warn("Failed to parse SSE message:", jsonStr);
+          return null;
+        }
+      })
+      .filter(Boolean);
+    
+    // 找到最后一条完整消息
+    const lastCompleteMessage = messages.findLast(msg => 
+      msg.choices && msg.choices[0] && msg.choices[0].message && msg.choices[0].message.content
+    );
+    
+    if (lastCompleteMessage) {
+      id = lastCompleteMessage.id || id;
+      if (lastCompleteMessage.choices && 
+          lastCompleteMessage.choices[0] && 
+          lastCompleteMessage.choices[0].finish_reason) {
+        finishReason = lastCompleteMessage.choices[0].finish_reason;
+      }
+      
+      return {
+        id,
+        content: lastCompleteMessage.choices[0].message.content,
+        finish_reason: finishReason,
+        usage: lastCompleteMessage.usage || null
+      };
     }
-
-    if (!response.ok) {
-      throw new Error(`Failed to get models: ${response.status}`);
+    
+    // 如果没有找到完整消息，尝试从所有消息中提取内容
+    let combinedContent = "";
+    for (const msg of messages) {
+      if (msg.choices && msg.choices[0] && msg.choices[0].delta && msg.choices[0].delta.content) {
+        combinedContent += msg.choices[0].delta.content;
+      } else if (msg.choices && msg.choices[0] && msg.choices[0].message && msg.choices[0].message.content) {
+        combinedContent += msg.choices[0].message.content;
+      }
     }
-
-    const data = await response.json() as ModelsResponse;
-
-    // 请求成功后获取新token并存储 (后台刷新)
-    getAnonymousToken().catch(err => console.error("Background token refresh failed:", err));
-
-    return data.result;
+    
+    return {
+      id,
+      content: combinedContent || "No content found in response",
+      finish_reason: finishReason,
+      usage: null
+    };
+    
   } catch (error) {
-    console.error("Error getting models:", error);
-    throw error;
+    console.error("Error parsing SSE response:", error);
+    return {
+      id,
+      content: "Error parsing response: " + error.message,
+      finish_reason: "error",
+      usage: null
+    };
   }
 }
 
-// 将SophNet模型转换为OpenAI格式
-function transformModelsToOpenAIFormat(models: SophNetModel[]) {
-  const transformedModels = [];
-
-  // 为每个模型创建标准版本、搜索版本和全上下文版本
-  for (const model of models) {
-    // 添加标准模型
-    transformedModels.push({
-      id: model.modelFamily,
-      object: "model",
-      created: Date.now(),
-      owned_by: "sophnet",
-      permission: [{
-        id: `modelperm-${model.id}`,
-        object: "model_permission",
-        created: Date.now(),
-        allow_create_engine: false,
-        allow_sampling: true,
-        allow_logprobs: false,
-        allow_search_indices: false,
-        allow_view: true,
-        allow_fine_tuning: false,
-        organization: "*",
-        group: null,
-        is_blocking: false,
-      }],
-      root: model.modelFamily,
-      parent: null,
-    });
-
-    // 添加搜索版本模型
-    transformedModels.push({
-      id: `${model.modelFamily}-Search`,
-      object: "model",
-      created: Date.now(),
-      owned_by: "sophnet",
-      permission: [{
-        id: `modelperm-${model.id}-Search`,
-        object: "model_permission",
-        created: Date.now(),
-        allow_create_engine: false,
-        allow_sampling: true,
-        allow_logprobs: false,
-        allow_search_indices: true,
-        allow_view: true,
-        allow_fine_tuning: false,
-        organization: "*",
-        group: null,
-        is_blocking: false,
-      }],
-      root: model.modelFamily,
-      parent: null,
-    });
+// 发送聊天请求到 freeaichatplayground
+async function sendChatRequest(modelName, messages) {
+  try {
+    const formattedMessages = messages.map((msg, index) => ({
+      id: `${Date.now() + index}`,
+      role: msg.role,
+      content: msg.content,
+      model: {
+        id: "", // 这个ID会在下面被填充
+        name: modelName,
+        icon: "",
+        provider: "",
+        contextWindow: 63920
+      }
+    }));
 
-    // 添加全上下文版本模型
-    transformedModels.push({
-      id: `${model.modelFamily}-Full-Context`,
-      object: "model",
-      created: Date.now(),
-      owned_by: "sophnet",
-      permission: [{
-        id: `modelperm-${model.id}-Full-Context`,
-        object: "model_permission",
-        created: Date.now(),
-        allow_create_engine: false,
-        allow_sampling: true,
-        allow_logprobs: false,
-        allow_search_indices: false,
-        allow_view: true,
-        allow_fine_tuning: false,
-        organization: "*",
-        group: null,
-        is_blocking: false,
-      }],
-      root: model.modelFamily,
-      parent: null,
+    // 获取模型列表以找到正确的ID
+    const models = await fetchModels();
+    const selectedModel = models.find(m => m.name === modelName);
+    
+    if (!selectedModel) {
+      throw new Error(`Model "${modelName}" not found`);
+    }
+    
+    // 填充模型信息
+    formattedMessages.forEach(msg => {
+      if (msg.model) {
+        msg.model.id = selectedModel.id;
+        msg.model.icon = selectedModel.icon;
+        msg.model.provider = selectedModel.provider;
+      }
     });
 
-    // 添加全上下文+搜索版本模型
-    transformedModels.push({
-      id: `${model.modelFamily}-Full-Context-Search`,
-      object: "model",
-      created: Date.now(),
-      owned_by: "sophnet",
-      permission: [{
-        id: `modelperm-${model.id}-Full-Context-Search`,
-        object: "model_permission",
-        created: Date.now(),
-        allow_create_engine: false,
-        allow_sampling: true,
-        allow_logprobs: false,
-        allow_search_indices: true,
-        allow_view: true,
-        allow_fine_tuning: false,
-        organization: "*",
-        group: null,
-        is_blocking: false,
-      }],
-      root: model.modelFamily,
-      parent: null,
+    const response = await fetch(`${FREEAI_API_BASE}/chat/completions`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:137.0) Gecko/20100101 Firefox/137.0",
+        "Origin": "https://freeaichatplayground.com",
+        "Referer": "https://freeaichatplayground.com/chat",
+      },
+      body: JSON.stringify({
+        model: modelName,
+        messages: formattedMessages,
+      }),
     });
-  }
 
-  return {
-    object: "list",
-    data: transformedModels,
-  };
-}
-
-// 处理全上下文功能
-function processFullContext(messages: Message[]): Message[] {
-  // 复制消息数组，避免修改原数组
-  const messagesCopy = [...messages];
-
-  // 提取系统消息（如果存在）
-  const systemMessages = messagesCopy.filter(msg => msg.role === "system");
-
-  // 获取非系统消息
-  const nonSystemMessages = messagesCopy.filter(msg => msg.role !== "system");
+    if (!response.ok) {
+      const errorText = await response.text();
+      throw new Error(`Chat completion failed: ${response.status} - ${errorText}`);
+    }
 
-  // 如果消息总数少于或等于3对（6条消息），则不需要处理
-  if (nonSystemMessages.length <= 6) {
-    return messages;
+    // 处理 SSE 流式响应
+    const parsedResponse = await parseSSEResponse(response);
+    return parsedResponse;
+  } catch (error) {
+    console.error("Error in chat completion:", error);
+    throw error;
   }
-
-  // 提取最后3轮对话（最多6条消息）
-  const recentMessages = nonSystemMessages.slice(-6);
-
-  // 提取需要合并的历史消息
-  const historyMessages = nonSystemMessages.slice(0, -6);
-
-  // 创建历史消息的摘要
-  const historySummary = {
-    role: "user",
-    content: `这里是此前的对话上下文: ${JSON.stringify(historyMessages)}`
-  };
-
-  // 组合新的消息数组：系统消息 + 历史摘要 + 最近消息
-  return [...systemMessages, historySummary, ...recentMessages];
 }
 
-// 将数字转换为上标形式
-function convertToSuperscript(num: number): string {
-  const normalDigits = '0123456789';
-  const superscriptDigits = '⁰¹²³⁴⁵⁶⁷⁸⁹';
-
-  return num.toString()
-    .split('')
-    .map(char => {
-      const index = normalDigits.indexOf(char);
-      return index !== -1 ? superscriptDigits[index] : char;
-    })
-    .join('');
-}
-
-// 处理聊天完成请求
-async function handleChatCompletions(
-  token: string,
-  requestBody: any,
-  stream: boolean,
-  retryCount = 0,
-): Promise<Response> {
-  // 检查模型名称的后缀
-  const modelId = requestBody.model;
-  const webSearchEnable = modelId.includes("-Search");
-  const fullContextEnable = modelId.includes("-Full-Context");
-
-  // 根据后缀确定实际模型ID
-  let actualModelId = modelId;
-  if (webSearchEnable) actualModelId = actualModelId.replace("-Search", "");
-  if (fullContextEnable) actualModelId = actualModelId.replace("-Full-Context", "");
-
-  // 处理消息
-  let processedMessages = requestBody.messages;
-  if (fullContextEnable) {
-    processedMessages = processFullContext(requestBody.messages);
-  }
-
-  const sophNetBody = {
-    temperature: requestBody.temperature || 0.7,
-    top_p: requestBody.top_p || 0.9,
-    frequency_penalty: requestBody.frequency_penalty || 0,
-    presence_penalty: requestBody.presence_penalty || 0,
-    max_tokens: requestBody.max_tokens || 2048,
-    webSearchEnable: webSearchEnable,
-    stop: requestBody.stop || [],
-    stream: stream.toString(),
-    model_id: actualModelId,
-    messages: processedMessages,
-  };
-
-  try {
-    const response = await fetch(
-      `${SOPHNET_BASE_URL}/open-apis/projects/${PROJECT_UUID}/chat/completions`,
+// 转换为 OpenAI 格式的聊天响应
+function transformChatResponseToOpenAIFormat(response, modelName) {
+  return {
+    id: response.id || `chatcmpl-${Date.now()}`,
+    object: "chat.completion",
+    created: Math.floor(Date.now() / 1000),
+    model: modelName,
+    choices: [
       {
-        method: "POST",
-        headers: {
-          "Content-Type": "application/json",
-          "Authorization": `Bearer anon-${token}`,
-          "Accept": stream ? "text/event-stream" : "application/json",
-          "User-Agent": getRandomUserAgent(), // 使用随机UA
+        index: 0,
+        message: {
+          role: "assistant",
+          content: response.content,
         },
-        body: JSON.stringify(sophNetBody),
+        finish_reason: response.finish_reason || "stop",
       },
-    );
-
-    // 如果是401或403错误，尝试刷新token并重试
-    if ((response.status === 401 || response.status === 403) && retryCount < MAX_RETRIES) {
-      console.log(`Chat completion token expired, refreshing and retrying (${retryCount + 1}/${MAX_RETRIES})...`);
-      const newToken = await getAnonymousToken();
-      // 使用指数退避等待
-      const delay = getExponentialBackoffDelay(retryCount);
-      await sleep(delay);
-      return await handleChatCompletions(newToken, requestBody, stream, retryCount + 1);
-    }
+    ],
+    usage: response.usage || {
+      prompt_tokens: 0,
+      completion_tokens: 0,
+      total_tokens: 0,
+    },
+  };
+}
 
-    // 如果是 429 或 500 错误，进行指数退避重试
-    if ((response.status === 429 || response.status >= 500) && retryCount < MAX_RETRIES) {
-        const delay = getExponentialBackoffDelay(retryCount);
-        console.warn(`Chat completion failed with status ${response.status}. Retrying in ${delay}ms... (${retryCount + 1}/${MAX_RETRIES})`);
-        await sleep(delay);
-        return handleChatCompletions(token, requestBody, stream, retryCount + 1); // 使用当前token重试，如果失败会在上面的逻辑中刷新
+// 处理流式响应请求
+async function handleStreamRequest(request, modelName, messages) {
+  const encoder = new TextEncoder();
+  const formattedMessages = messages.map((msg, index) => ({
+    id: `${Date.now() + index}`,
+    role: msg.role,
+    content: msg.content,
+    model: {
+      id: "", // 这个ID会在下面被填充
+      name: modelName,
+      icon: "",
+      provider: "",
+      contextWindow: 63920
     }
-
-    if (!response.ok) {
-      throw new Error(`Chat completion failed: ${response.status}`);
+  }));
+
+  // 获取模型列表以找到正确的ID
+  const models = await fetchModels();
+  const selectedModel = models.find(m => m.name === modelName);
+  
+  if (!selectedModel) {
+    throw new Error(`Model "${modelName}" not found`);
+  }
+  
+  // 填充模型信息
+  formattedMessages.forEach(msg => {
+    if (msg.model) {
+      msg.model.id = selectedModel.id;
+      msg.model.icon = selectedModel.icon;
+      msg.model.provider = selectedModel.provider;
     }
+  });
 
-    // 请求成功后获取新token并存储 (后台刷新)
-    getAnonymousToken().catch(err => console.error("Background token refresh failed:", err));
-
-    return response;
+  const response = await fetch(`${FREEAI_API_BASE}/chat/completions`, {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+      "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:137.0) Gecko/20100101 Firefox/137.0",
+      "Origin": "https://freeaichatplayground.com",
+      "Referer": "https://freeaichatplayground.com/chat",
+    },
+    body: JSON.stringify({
+      model: modelName,
+      messages: formattedMessages,
+      stream: true,
+    }),
+  });
 
-  } catch (error) {
-    console.error("Error during chat completion fetch:", error);
-    // 如果是网络错误或其他非HTTP错误，也进行指数退避重试
-     if (retryCount < MAX_RETRIES) {
-        const delay = getExponentialBackoffDelay(retryCount);
-        console.warn(`Chat completion network error. Retrying in ${delay}ms... (${retryCount + 1}/${MAX_RETRIES})`);
-        await sleep(delay);
-        return handleChatCompletions(token, requestBody, stream, retryCount + 1);
-     }
-    throw error; // 达到最大重试次数后抛出错误
+  if (!response.ok) {
+    const errorText = await response.text();
+    throw new Error(`Chat completion failed: ${response.status} - ${errorText}`);
   }
-}
-
-// 转换流式响应
-async function* transformStreamResponse(
-  readableStream: ReadableStream<Uint8Array>,
-) {
-  const reader = readableStream.getReader();
-  const decoder = new TextDecoder();
-  let buffer = "";
 
-  // 用于存储所有引用，以便在结束时生成参考资料部分
-  const references: Reference[] = [];
-  let referencesEmitted = false; // 标记是否已经发送过参考资料部分
-
-  try {
-    while (true) {
-      const { done, value } = await reader.read();
-      if (done) {
-        // 如果有引用但尚未发送，在结束前发送参考资料部分
-        if (references.length > 0 && !referencesEmitted) {
-          const referencesSection = generateReferencesSection(references);
-          yield `data: ${JSON.stringify({
-            id: `chatcmpl-${Date.now()}`, // 生成一个唯一的ID
-            object: "chat.completion.chunk",
-            created: Math.floor(Date.now() / 1000),
-            model: "sophnet-model", // 可以使用 SophNet 返回的模型名，或者固定一个
-            choices: [
-              {
-                index: 0,
-                delta: {
-                  content: `\n\n${referencesSection}`,
-                },
-                finish_reason: null, // 在发送参考资料时，finish_reason通常为null
-              },
-            ],
-          })}\n\n`;
-          referencesEmitted = true;
-        }
-        break;
-      }
-
-      buffer += decoder.decode(value, { stream: true });
-      const lines = buffer.split("\n");
-      buffer = lines.pop() || "";
-
-      for (const line of lines) {
-        if (line.trim() === "" || !line.startsWith("data:")) continue;
-
-        const data = line.substring(5).trim();
-        if (data === "[DONE]") {
-           // 如果有引用但尚未发送，在结束前发送参考资料部分
-          if (references.length > 0 && !referencesEmitted) {
-            const referencesSection = generateReferencesSection(references);
-            yield `data: ${JSON.stringify({
-              id: `chatcmpl-${Date.now()}`, // 生成一个唯一的ID
-              object: "chat.completion.chunk",
-              created: Math.floor(Date.now() / 1000),
-              model: "sophnet-model", // 可以使用 SophNet 返回的模型名，或者固定一个
-              choices: [
-                {
-                  index: 0,
-                  delta: {
-                    content: `\n\n${referencesSection}`,
-                  },
-                  finish_reason: null, // 在发送参考资料时，finish_reason通常为null
-                },
-              ],
-            })}\n\n`;
-            referencesEmitted = true;
-          }
-
-          yield "data: [DONE]\n\n";
-          continue;
-        }
-
-        try {
-          const sophNetEvent = JSON.parse(data);
-
-          // 检查是否包含引用
-          if (sophNetEvent.choices?.[0]?.refs && sophNetEvent.choices[0].refs.length > 0) {
-            // 处理引用
-            for (const ref of sophNetEvent.choices[0].refs) {
-              // 检查是否已经存在相同URL的引用
-              const existingRefIndex = references.findIndex(r => r.url === ref.url);
-              if (existingRefIndex === -1) {
-                // 添加新引用
-                references.push(ref);
-
-                // 生成引用标记，使用上标数字
-                const refIndex = references.length;
-                const superscriptIndex = `⁽${convertToSuperscript(refIndex)}⁾`;
-
-                // 创建带引用标记的事件
-                yield `data: ${JSON.stringify({
-                  id: sophNetEvent.id || `chatcmpl-${Date.now()}`, // 使用SophNet ID或生成新ID
+  const stream = new ReadableStream({
+    async start(controller) {
+      const reader = response.body.getReader();
+      const chatId = `chatcmpl-${Date.now()}`;
+      
+      // 发送初始消息
+      const initialChunk = {
+        id: chatId,
+        object: "chat.completion.chunk",
+        created: Math.floor(Date.now() / 1000),
+        model: modelName,
+        choices: [{
+          index: 0,
+          delta: { role: "assistant" },
+          finish_reason: null
+        }]
+      };
+      controller.enqueue(encoder.encode(`data: ${JSON.stringify(initialChunk)}\n\n`));
+      
+      try {
+        let buffer = "";
+        
+        while (true) {
+          const { done, value } = await reader.read();
+          if (done) break;
+          
+          const chunk = new TextDecoder().decode(value);
+          buffer += chunk;
+          
+          // 处理缓冲区中的所有完整 SSE 消息
+          const messages = buffer.split('\n\n');
+          buffer = messages.pop() || ""; // 保留最后一个可能不完整的消息
+          
+          for (const msg of messages) {
+            if (!msg.trim().startsWith('data:')) continue;
+            
+            try {
+              const jsonStr = msg.replace('data:', '').trim();
+              const data = JSON.parse(jsonStr);
+              
+              if (data.choices && data.choices[0]) {
+                // 转换为 OpenAI 流式格式
+                const openAIChunk = {
+                  id: chatId,
                   object: "chat.completion.chunk",
                   created: Math.floor(Date.now() / 1000),
-                  model: sophNetEvent.model || "sophnet-model", // 使用SophNet模型名或固定
-                  choices: [
-                    {
-                      index: 0,
-                      delta: {
-                        // SophNet的引用信息通常不在content中，我们需要手动添加
-                        content: `[${superscriptIndex}](${ref.url})`,
-                      },
-                      finish_reason: null, // 引用事件通常没有finish_reason
-                    },
-                  ],
-                })}\n\n`;
+                  model: modelName,
+                  choices: [{
+                    index: 0,
+                    delta: {},
+                    finish_reason: data.choices[0].finish_reason || null
+                  }]
+                };
+                
+                // 提取内容
+                if (data.choices[0].delta && data.choices[0].delta.content) {
+                  openAIChunk.choices[0].delta.content = data.choices[0].delta.content;
+                } else if (data.choices[0].message && data.choices[0].message.content) {
+                  openAIChunk.choices[0].delta.content = data.choices[0].message.content;
+                }
+                
+                controller.enqueue(encoder.encode(`data: ${JSON.stringify(openAIChunk)}\n\n`));
+                
+                // 如果是最后一条消息，发送 [DONE]
+                if (data.choices[0].finish_reason) {
+                  controller.enqueue(encoder.encode("data: [DONE]\n\n"));
+                }
               }
+            } catch (e) {
+              console.warn("Failed to parse SSE message:", msg);
+              continue;
             }
-          } else {
-            // 转换为OpenAI格式的事件
-            const openAIEvent = {
-              id: sophNetEvent.id || `chatcmpl-${Date.now()}`, // 使用SophNet ID或生成新ID
-              object: "chat.completion.chunk",
-              created: Math.floor(Date.now() / 1000),
-              model: sophNetEvent.model || "sophnet-model", // 使用SophNet模型名或固定
-              choices: [
-                {
-                  index: 0,
-                  delta: {
-                    // OpenAI通常将内容放在delta.content
-                    reasoning_content: sophNetEvent.choices?.[0]?.delta?.reasoning_content || "",
-                    content: sophNetEvent.choices?.[0]?.delta?.content || "",
-                  },
-                  finish_reason: sophNetEvent.choices?.[0]?.finish_reason || null,
-                },
-              ],
-            };
-
-            yield `data: ${JSON.stringify(openAIEvent)}\n\n`;
           }
-        } catch (e) {
-          console.error("Error parsing event:", e, "Line:", line);
-          // 可以选择在这里发送一个错误事件给客户端
         }
+        
+        // 确保发送最终的 [DONE] 消息
+        controller.enqueue(encoder.encode("data: [DONE]\n\n"));
+        controller.close();
+      } catch (error) {
+        console.error("Stream processing error:", error);
+        controller.error(error);
       }
     }
-  } finally {
-    reader.releaseLock();
-  }
-}
-
-// 生成参考资料部分
-function generateReferencesSection(references: Reference[]): string {
-  if (references.length === 0) return "";
-
-  let section = "## 参考资料\n\n";
-  references.forEach((ref, index) => {
-    section += `${index + 1}. [${ref.title}](${ref.url})\n`;
   });
 
-  return section;
-}
-
-// 转换非流式响应
-async function transformNonStreamResponse(response: Response) {
-  const sophNetResponse = await response.json();
-
-  // 处理引用
-  let content = sophNetResponse.choices?.[0]?.message?.content || "";
-  const references: Reference[] = [];
-
-  // 收集所有引用
-  if (sophNetResponse.choices?.[0]?.message?.refs && sophNetResponse.choices[0].message.refs.length > 0) {
-    for (const ref of sophNetResponse.choices[0].message.refs) {
-      references.push(ref);
-    }
-
-    // 为每个引用添加上标标记
-    references.forEach((ref, index) => {
-      const refIndex = index + 1;
-      const superscriptIndex = `⁽${convertToSuperscript(refIndex)}⁾`;
-      // 在内容末尾添加引用标记
-      content += ` [${superscriptIndex}](${ref.url})`;
-    });
-
-    // 添加参考资料部分
-    if (references.length > 0) {
-      content += "\n\n" + generateReferencesSection(references);
+  return new Response(stream, {
+    headers: {
+      "Content-Type": "text/event-stream",
+      "Cache-Control": "no-cache",
+      "Connection": "keep-alive",
+      "Access-Control-Allow-Origin": "*",
     }
-  }
-
-  return {
-    id: sophNetResponse.id || `chatcmpl-${Date.now()}`, // 使用SophNet ID或生成新ID
-    object: "chat.completion",
-    created: Math.floor(Date.now() / 1000),
-    model: sophNetResponse.model || "sophnet-model", // 使用SophNet模型名或固定
-    choices: [
-      {
-        index: 0,
-        message: {
-          role: "assistant",
-          reasoning_content: sophNetResponse.choices?.[0]?.message?.reasoning_content || "",
-          content: content,
-        },
-        finish_reason: sophNetResponse.choices?.[0]?.finish_reason || "stop",
-      },
-    ],
-    usage: sophNetResponse.usage || {
-      prompt_tokens: 0,
-      completion_tokens: 0,
-      total_tokens: 0,
-    },
-  };
+  });
 }
 
-// 主处理函数
-async function handler(req: Request): Promise<Response> {
-  const url = new URL(req.url);
+// 处理请求
+async function handleRequest(request) {
+  const url = new URL(request.url);
   const path = url.pathname;
 
-  // CORS预检请求处理
-  if (req.method === "OPTIONS") {
+  // CORS 预检请求处理
+  if (request.method === "OPTIONS") {
     return new Response(null, {
-      status: 204,
+      status: 200,
       headers: {
         "Access-Control-Allow-Origin": "*",
         "Access-Control-Allow-Methods": "GET, POST, OPTIONS",
         "Access-Control-Allow-Headers": "Content-Type, Authorization",
-        "Access-Control-Max-Age": "86400",
       },
     });
   }
 
-  // 获取有效token
-  let token;
-  try {
-    token = await getValidToken();
-  } catch (error) {
-    console.error("Failed to get token in handler:", error);
-    return new Response(
-      JSON.stringify({ error: "Failed to get token", details: error.message }),
-      {
-        status: 500,
-        headers: {
-          "Content-Type": "application/json",
-          "Access-Control-Allow-Origin": "*",
-        },
-      },
-    );
-  }
+  // 设置通用响应头
+  const headers = {
+    "Content-Type": "application/json",
+    "Access-Control-Allow-Origin": "*",
+  };
 
   try {
     // 模型列表接口
-    if (path === "/v1/models" && req.method === "GET") {
-      const models = await getModels(token);
+    if (path === "/v1/models" && request.method === "GET") {
+      const models = await fetchModels();
       const openAIModels = transformModelsToOpenAIFormat(models);
-
-      return new Response(JSON.stringify(openAIModels), {
-        status: 200,
-        headers: {
-          "Content-Type": "application/json",
-          "Access-Control-Allow-Origin": "*",
-        },
-      });
+      return new Response(JSON.stringify(openAIModels), { headers });
     }
-
+    
     // 聊天完成接口
-    else if (path === "/v1/chat/completions" && req.method === "POST") {
-      const requestBody = await req.json();
-      const stream = requestBody.stream === true;
-
-      const sophNetResponse = await handleChatCompletions(token, requestBody, stream);
-
+    else if (path === "/v1/chat/completions" && request.method === "POST") {
+      const requestData = await request.json();
+      const modelName = requestData.model || DEFAULT_MODEL;
+      const messages = requestData.messages || [];
+      const stream = requestData.stream || false;
+      
+      // 处理流式响应
       if (stream) {
-        const transformedStream = new ReadableStream({
-          async start(controller) {
-            try {
-              for await (const chunk of transformStreamResponse(sophNetResponse.body!)) {
-                controller.enqueue(new TextEncoder().encode(chunk));
-              }
-              controller.close();
-            } catch (error) {
-              console.error("Stream transformation error:", error);
-              // 在流中发送错误信息
-              const errorData = JSON.stringify({
-                error: {
-                  message: `Stream processing error: ${error.message}`,
-                  type: "stream_error",
-                  code: null,
-                }
-              });
-              controller.enqueue(new TextEncoder().encode(`data: ${errorData}\n\n`));
-              controller.enqueue(new TextEncoder().encode("data: [DONE]\n\n"));
-              controller.close();
-            }
-          },
-        });
-
-        return new Response(transformedStream, {
-          headers: {
-            "Content-Type": "text/event-stream",
-            "Cache-Control": "no-cache",
-            "Connection": "keep-alive",
-            "Access-Control-Allow-Origin": "*",
-          },
-        });
-      } else {
-        const transformedResponse = await transformNonStreamResponse(sophNetResponse);
-
-        return new Response(JSON.stringify(transformedResponse), {
-          status: 200,
-          headers: {
-            "Content-Type": "application/json",
-            "Access-Control-Allow-Origin": "*",
-          },
-        });
+        return handleStreamRequest(request, modelName, messages);
       }
+      
+      // 处理普通响应
+      const chatResponse = await sendChatRequest(modelName, messages);
+      const openAIResponse = transformChatResponseToOpenAIFormat(chatResponse, modelName);
+      
+      return new Response(JSON.stringify(openAIResponse), { headers });
     }
-
-    // 未找到路由
+    
+    // 未知路径
     else {
-      return new Response(
-        JSON.stringify({ error: "Not found", message: "Endpoint not supported" }),
-        {
-          status: 404,
-          headers: {
-            "Content-Type": "application/json",
-            "Access-Control-Allow-Origin": "*",
-          },
-        },
-      );
-    }
-  } catch (error) {
-    console.error("Request handling error:", error);
-
-    // 返回统一的错误响应格式
-    return new Response(
-      JSON.stringify({
+      return new Response(JSON.stringify({
         error: {
-          message: error.message,
-          type: "api_error", // 或者更具体的错误类型
-          code: error.status || null, // 如果是HTTP错误，包含状态码
+          message: "Not found",
+          type: "invalid_request_error",
+          code: "path_not_found",
         }
-      }),
-      {
-        status: error.status || 500, // 使用错误状态码或默认500
-        headers: {
-          "Content-Type": "application/json",
-          "Access-Control-Allow-Origin": "*",
-        },
-      },
-    );
+      }), { status: 404, headers });
+    }
+  } catch (error) {
+    console.error("Error handling request:", error);
+    return new Response(JSON.stringify({
+      error: {
+        message: error.message,
+        type: "server_error",
+        code: "internal_server_error",
+      }
+    }), { status: 500, headers });
   }
 }
 
 // 启动服务器
-console.log(`Starting server on port ${PORT}...`);
-serve(handler, { port: PORT });
+const port = parseInt(Deno.env.get("PORT") || "7860");
+console.log(`Starting server on port ${port}...`);
+serve(handleRequest, { port });