1. 搜索引擎问答支持历史记录；

2. 修复知识库问答历史记录传参错误：用户输入被传入history，问题出在webui中重复获取历史消息，api知识库对话接口并无问题。

server/chat/knowledge_base_chat.py

@@ -58,9 +58,6 @@ async def knowledge_base_chat(query: str = Body(..., description="用户输入",
 
         prompt_template = get_prompt_template(prompt_name)
         input_msg = History(role="user", content=prompt_template).to_msg_template(False)
-        # 用户最后一个问题会进入PROMPT_TEMPLATE，不用再作为history 了
-        if len(history) >= 1:
-            history.pop()
         chat_prompt = ChatPromptTemplate.from_messages(
             [i.to_msg_template() for i in history] + [input_msg])
 

webui_pages/dialogue/dialogue.py

@@ -167,7 +167,6 @@ def dialogue_page(api: ApiRequest):
             chat_box.update_msg(text, streaming=False)  # 更新最终的字符串，去除光标
 
         elif dialogue_mode == "知识库问答":
-            history = get_messages_history(history_len)
             chat_box.ai_say([
                 f"正在查询知识库 `{selected_kb}` ...",
                 Markdown("...", in_expander=True, title="知识库匹配结果"),
@@ -196,6 +195,7 @@ def dialogue_page(api: ApiRequest):
             for d in api.search_engine_chat(prompt,
                                             search_engine_name=search_engine,
                                             top_k=se_top_k,
+                                            history=history,
                                             model=llm_model,
                                             temperature=temperature):
                 if error_msg := check_error_msg(d):  # check whether error occured

webui_pages/utils.py

@@ -429,6 +429,7 @@ class ApiRequest:
         query: str,
         search_engine_name: str,
         top_k: int = SEARCH_ENGINE_TOP_K,
+        history: List[Dict] = [],
         stream: bool = True,
         model: str = LLM_MODEL,
         temperature: float = TEMPERATURE,
@@ -445,6 +446,7 @@ class ApiRequest:
             "query": query,
             "search_engine_name": search_engine_name,
             "top_k": top_k,
+            "history": history,
             "stream": stream,
             "model_name": model,
             "temperature": temperature,