支持原生的多轮对话

README.md

@@ -278,6 +278,9 @@ Authorization: Bearer [refresh_token]
 {
     // 如果使用智能体请填写智能体ID到此处，否则可以乱填
     "model": "glm4",
+    // 目前多轮对话基于消息合并实现，某些场景可能导致能力下降且token最高为4096
+    // 如果您想获得原生的多轮对话体验，可以传入首轮消息获得的id，来接续上下文
+    // "conversation_id": "65f6c28546bae1f0fbb532de",
     "messages": [
         {
             "role": "user",
@@ -292,6 +295,7 @@ Authorization: Bearer [refresh_token]
 响应数据：
 ```json
 {
+    // conversation_id，你可以传入到下一轮对话来接续上下文
     "id": "65f6c28546bae1f0fbb532de",
     "model": "glm4",
     "object": "chat.completion",

src/api/controllers/chat.ts

@@ -170,6 +170,7 @@ async function createCompletion(
   messages: any[],
   refreshToken: string,
   assistantId = DEFAULT_ASSISTANT_ID,
+  refConvId = '',
   retryCount = 0
 ) {
   return (async () => {
@@ -184,13 +185,14 @@ async function createCompletion(
       : [];
 
     // 请求流
+    console.log(refConvId)
     const token = await acquireToken(refreshToken);
     const result = await axios.post(
       "https://chatglm.cn/chatglm/backend-api/assistant/stream",
       {
         assistant_id: assistantId,
-        conversation_id: "",
+        conversation_id: refConvId,
-        messages: messagesPrepare(messages, refs),
+        messages: messagesPrepare(messages, refs, !!refConvId),
         meta_data: {
           channel: "",
           draft_id: "",
@@ -232,7 +234,7 @@ async function createCompletion(
 
     // 异步移除会话
     removeConversation(answer.id, refreshToken, assistantId).catch((err) =>
-      console.error(err)
+      !refConvId && console.error(err)
     );
 
     return answer;
@@ -246,6 +248,7 @@ async function createCompletion(
           messages,
           refreshToken,
           assistantId,
+          refConvId,
           retryCount + 1
         );
       })();
@@ -266,6 +269,7 @@ async function createCompletionStream(
   messages: any[],
   refreshToken: string,
   assistantId = DEFAULT_ASSISTANT_ID,
+  refConvId = '',
   retryCount = 0
 ) {
   return (async () => {
@@ -285,8 +289,8 @@ async function createCompletionStream(
       `https://chatglm.cn/chatglm/backend-api/assistant/stream`,
       {
         assistant_id: assistantId,
-        conversation_id: "",
+        conversation_id: refConvId,
-        messages: messagesPrepare(messages, refs),
+        messages: messagesPrepare(messages, refs, !!refConvId),
         meta_data: {
           channel: "",
           draft_id: "",
@@ -349,7 +353,7 @@ async function createCompletionStream(
       );
       // 流传输结束后异步移除会话
       removeConversation(convId, refreshToken, assistantId).catch((err) =>
-        console.error(err)
+        !refConvId && console.error(err)
       );
     });
   })().catch((err) => {
@@ -362,6 +366,7 @@ async function createCompletionStream(
           messages,
           refreshToken,
           assistantId,
+          refConvId,
           retryCount + 1
         );
       })();
@@ -488,8 +493,10 @@ function extractRefFileUrls(messages: any[]) {
  * 由于接口只取第一条消息，此处会将多条消息合并为一条，实现多轮对话效果
  *
  * @param messages 参考gpt系列消息格式，多轮对话请完整提供上下文
+ * @param refs 参考文件列表
+ * @param isRefConv 是否为引用会话
  */
-function messagesPrepare(messages: any[], refs: any[]) {
+function messagesPrepare(messages: any[], refs: any[], isRefConv = false) {
   // 检查最新消息是否含有"type": "image_url"或"type": "file",如果有则注入消息
   let latestMessage = messages[messages.length - 1];
   let hasFileOrImage =
@@ -514,7 +521,23 @@ function messagesPrepare(messages: any[], refs: any[]) {
     // logger.info("注入提升尾部消息注意力system prompt");
   }
 
-  const content = (
+  let content;
+  if(isRefConv || messages.length < 2) {
+    content = messages.reduce((content, message) => {
+      if (_.isArray(message.content)) {
+        return (
+          message.content.reduce((_content, v) => {
+            if (!_.isObject(v) || v["type"] != "text") return _content;
+            return _content + (v["text"] || "") + "\n";
+          }, content)
+        );
+      }
+      return content + `${message.content}\n`;
+    }, "");
+    logger.info("\n透传内容：\n" + content);
+  }
+  else {
+    content = (
       messages.reduce((content, message) => {
         const role = message.role
           .replace("system", "<|sytstem|>")
@@ -535,6 +558,9 @@ function messagesPrepare(messages: any[], refs: any[]) {
       .replace(/\!\[.+\]\(.+\)/g, "")
       // 移除临时路径避免在新会话引发幻觉
       .replace(/\/mnt\/data\/.+/g, "");
+    logger.info("\n对话合并：\n" + content);
+  }
+
   const fileRefs = refs.filter((ref) => !ref.width && !ref.height);
   const imageRefs = refs
     .filter((ref) => ref.width || ref.height)
@@ -542,8 +568,6 @@ function messagesPrepare(messages: any[], refs: any[]) {
       ref.image_url = ref.file_url;
       return ref;
     });
-  content
-  logger.info("\n对话合并：\n" + content);
   return [
     {
       role: "user",

src/api/routes/chat.ts

@@ -13,22 +13,23 @@ export default {
 
         '/completions': async (request: Request) => {
             request
+                .validate('body.conversation_id', v => _.isUndefined(v) || _.isString(v))
                 .validate('body.messages', _.isArray)
                 .validate('headers.authorization', _.isString)
             // refresh_token切分
             const tokens = chat.tokenSplit(request.headers.authorization);
             // 随机挑选一个refresh_token
             const token = _.sample(tokens);
-            const messages =  request.body.messages;
+            const { model, conversation_id: convId, messages, stream } = request.body;
-            const assistantId = /^[a-z0-9]{24,}$/.test(request.body.model) ? request.body.model : undefined
+            const assistantId = /^[a-z0-9]{24,}$/.test(model) ? model : undefined
-            if (request.body.stream) {
+            if (stream) {
-                const stream = await chat.createCompletionStream(request.body.messages, token, assistantId);
+                const stream = await chat.createCompletionStream(messages, token, assistantId, convId);
                 return new Response(stream, {
                     type: "text/event-stream"
                 });
             }
             else
-                return await chat.createCompletion(messages, token, assistantId);
+                return await chat.createCompletion(messages, token, assistantId, convId);
         }
 
     }