chore: bump version to 4.9.1

* feat: add trigger probability setting for TTS and support to render slider in schema

* chore: ruff format

README.md

@@ -243,4 +243,10 @@ pre-commit install
 
 </details>
 
+<div align="center">
+
 _私は、高性能ですから!_
+
+<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
+</div
+

astrbot/cli/__init__.py

@@ -1 +1 @@
-__version__ = "4.8.0"
+__version__ = "4.9.1"

astrbot/core/config/default.py

@@ -4,7 +4,7 @@ import os
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.8.0"
+VERSION = "4.9.1"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
 WEBHOOK_SUPPORTED_PLATFORMS = [
@@ -108,6 +108,7 @@ DEFAULT_CONFIG = {
         "provider_id": "",
         "dual_output": False,
         "use_file_service": False,
+        "trigger_probability": 1.0,
     },
     "provider_ltm_settings": {
         "group_icl_enable": False,
@@ -2209,6 +2210,9 @@ CONFIG_METADATA_2 = {
                     "use_file_service": {
                         "type": "bool",
                     },
+                    "trigger_probability": {
+                        "type": "float",
+                    },
                 },
             },
             "provider_ltm_settings": {
@@ -2419,6 +2423,14 @@ CONFIG_METADATA_3 = {
                             "provider_tts_settings.enable": True,
                         },
                     },
+                    "provider_tts_settings.trigger_probability": {
+                        "description": "TTS 触发概率",
+                        "type": "float",
+                        "slider": {"min": 0, "max": 1, "step": 0.05},
+                        "condition": {
+                            "provider_tts_settings.enable": True,
+                        },
+                    },
                     "provider_settings.image_caption_prompt": {
                         "description": "图片转述提示词",
                         "type": "text",
@@ -2986,6 +2998,7 @@ CONFIG_METADATA_3 = {
                         "description": "回复概率",
                         "type": "float",
                         "hint": "0.0-1.0 之间的数值",
+                        "slider": {"min": 0, "max": 1, "step": 0.05},
                         "condition": {
                             "provider_ltm_settings.active_reply.enable": True,
                         },

astrbot/core/config/i18n_utils.py

@@ -79,6 +79,7 @@ class ConfigMetadataI18n:
                             "_special",
                             "invisible",
                             "options",
+                            "slider",
                         ]:
                             if attr in field_data:
                                 field_result[attr] = field_data[attr]

astrbot/core/log.py

@@ -24,6 +24,7 @@ import asyncio
 import logging
 import os
 import sys
+import time
 from asyncio import Queue
 from collections import deque
 
@@ -148,7 +149,7 @@ class LogQueueHandler(logging.Handler):
         self.log_broker.publish(
             {
                 "level": record.levelname,
-                "time": record.asctime,
+                "time": time.time(),
                 "data": log_entry,
             },
         )

astrbot/core/pipeline/respond/stage.py

@@ -158,7 +158,11 @@ class RespondStage(Stage):
         result = event.get_result()
         if result is None:
             return
+        if event.get_extra("_streaming_finished", False):
+            # prevent some plugin make result content type to LLM_RESULT after streaming finished, lead to send again
+            return
         if result.result_content_type == ResultContentType.STREAMING_FINISH:
+            event.set_extra("_streaming_finished", True)
             return
 
         logger.info(

astrbot/core/pipeline/result_decorate/stage.py

@@ -1,3 +1,4 @@
+import random
 import re
 import time
 import traceback
@@ -42,6 +43,18 @@ class ResultDecorateStage(Stage):
             "forward_threshold"
         ]
 
+        trigger_probability = ctx.astrbot_config["provider_tts_settings"].get(
+            "trigger_probability",
+            1,
+        )
+        try:
+            self.tts_trigger_probability = max(
+                0.0,
+                min(float(trigger_probability), 1.0),
+            )
+        except (TypeError, ValueError):
+            self.tts_trigger_probability = 1.0
+
         # 分段回复
         self.words_count_threshold = int(
             ctx.astrbot_config["platform_settings"]["segmented_reply"][
@@ -246,7 +259,14 @@ class ResultDecorateStage(Stage):
                 and result.is_llm_result()
                 and SessionServiceManager.should_process_tts_request(event)
             ):
-                if not tts_provider:
+                should_tts = self.tts_trigger_probability >= 1.0 or (
+                    self.tts_trigger_probability > 0.0
+                    and random.random() <= self.tts_trigger_probability
+                )
+
+                if not should_tts:
+                    logger.debug("跳过 TTS：触发概率未命中。")
+                elif not tts_provider:
                     logger.warning(
                         f"会话 {event.unified_msg_origin} 未配置文本转语音模型。",
                     )

astrbot/core/platform/sources/lark/lark_adapter.py

@@ -81,7 +81,12 @@ class LarkPlatformAdapter(Platform):
         )
 
         self.lark_api = (
-            lark.Client.builder().app_id(self.appid).app_secret(self.appsecret).build()
+            lark.Client.builder()
+            .app_id(self.appid)
+            .app_secret(self.appsecret)
+            .log_level(lark.LogLevel.ERROR)
+            .domain(self.domain)
+            .build()
         )
 
         self.webhook_server = None

astrbot/dashboard/routes/conversation.py

@@ -1,7 +1,9 @@
 import json
 import traceback
+from datetime import datetime
+from io import BytesIO
 
-from quart import request
+from quart import request, send_file
 
 from astrbot.core import logger
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
@@ -30,6 +32,7 @@ class ConversationRoute(Route):
                 "POST",
                 self.update_history,
             ),
+            "/conversation/export": ("POST", self.export_conversations),
         }
         self.db_helper = db_helper
         self.conv_mgr = core_lifecycle.conversation_manager
@@ -283,3 +286,90 @@ class ConversationRoute(Route):
         except Exception as e:
             logger.error(f"更新对话历史失败: {e!s}\n{traceback.format_exc()}")
             return Response().error(f"更新对话历史失败: {e!s}").__dict__
+
+    async def export_conversations(self):
+        """批量导出对话为 JSONL 格式"""
+        try:
+            data = await request.get_json()
+            conversations_to_export = data.get("conversations", [])
+
+            if not conversations_to_export:
+                return Response().error("导出列表不能为空").__dict__
+
+            # 收集所有对话的内容
+            jsonl_lines = []
+            exported_count = 0
+            failed_items = []
+
+            for conv_info in conversations_to_export:
+                user_id = conv_info.get("user_id")
+                cid = conv_info.get("cid")
+
+                if not user_id or not cid:
+                    failed_items.append(
+                        f"user_id:{user_id}, cid:{cid} - 缺少必要参数",
+                    )
+                    continue
+
+                try:
+                    conversation = await self.conv_mgr.get_conversation(
+                        unified_msg_origin=user_id,
+                        conversation_id=cid,
+                    )
+
+                    if not conversation:
+                        failed_items.append(
+                            f"user_id:{user_id}, cid:{cid} - 对话不存在"
+                        )
+                        continue
+
+                    # 解析对话内容 (history is always a JSON string from _convert_conv_from_v2_to_v1)
+                    content = json.loads(conversation.history)
+
+                    # 创建导出记录
+                    export_record = {
+                        "cid": cid,
+                        "user_id": user_id,
+                        "platform_id": conversation.platform_id,
+                        "title": conversation.title,
+                        "persona_id": conversation.persona_id,
+                        "created_at": conversation.created_at,
+                        "updated_at": conversation.updated_at,
+                        "content": content,
+                    }
+
+                    # 将记录转换为 JSON 字符串并添加到 JSONL
+                    jsonl_lines.append(json.dumps(export_record, ensure_ascii=False))
+                    exported_count += 1
+
+                except Exception as e:
+                    failed_items.append(f"user_id:{user_id}, cid:{cid} - {e!s}")
+                    logger.error(
+                        f"导出对话失败: user_id={user_id}, cid={cid}, error={e!s}"
+                    )
+
+            if exported_count == 0:
+                return Response().error("没有成功导出任何对话").__dict__
+
+            # 创建 JSONL 内容
+            jsonl_content = "\n".join(jsonl_lines)
+
+            # 创建一个内存文件对象
+            file_obj = BytesIO(jsonl_content.encode("utf-8"))
+            file_obj.seek(0)
+
+            # 生成文件名
+            timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+            filename = f"astrbot_conversations_export_{timestamp}.jsonl"
+
+            # 返回文件流
+            return await send_file(
+                file_obj,
+                mimetype="application/jsonl",
+                as_attachment=True,
+                attachment_filename=filename,
+            )
+
+        except Exception as e:
+            logger.error(f"批量导出对话失败: {e!s}\n{traceback.format_exc()}")
+            return Response().error(f"批量导出对话失败: {e!s}").__dict__

astrbot/dashboard/routes/knowledge_base.py

@@ -48,6 +48,7 @@ class KnowledgeBaseRoute(Route):
             # 文档管理
             "/kb/document/list": ("GET", self.list_documents),
             "/kb/document/upload": ("POST", self.upload_document),
+            "/kb/document/import": ("POST", self.import_documents),
             "/kb/document/upload/url": ("POST", self.upload_document_from_url),
             "/kb/document/upload/progress": ("GET", self.get_upload_progress),
             "/kb/document/get": ("GET", self.get_document),
@@ -66,6 +67,65 @@ class KnowledgeBaseRoute(Route):
     def _get_kb_manager(self):
         return self.core_lifecycle.kb_manager
 
+    def _init_task(self, task_id: str, status: str = "pending") -> None:
+        self.upload_tasks[task_id] = {
+            "status": status,
+            "result": None,
+            "error": None,
+        }
+
+    def _set_task_result(
+        self, task_id: str, status: str, result: any = None, error: str | None = None
+    ) -> None:
+        self.upload_tasks[task_id] = {
+            "status": status,
+            "result": result,
+            "error": error,
+        }
+        if task_id in self.upload_progress:
+            self.upload_progress[task_id]["status"] = status
+
+    def _update_progress(
+        self,
+        task_id: str,
+        *,
+        status: str | None = None,
+        file_index: int | None = None,
+        file_name: str | None = None,
+        stage: str | None = None,
+        current: int | None = None,
+        total: int | None = None,
+    ) -> None:
+        if task_id not in self.upload_progress:
+            return
+        p = self.upload_progress[task_id]
+        if status is not None:
+            p["status"] = status
+        if file_index is not None:
+            p["file_index"] = file_index
+        if file_name is not None:
+            p["file_name"] = file_name
+        if stage is not None:
+            p["stage"] = stage
+        if current is not None:
+            p["current"] = current
+        if total is not None:
+            p["total"] = total
+
+    def _make_progress_callback(self, task_id: str, file_idx: int, file_name: str):
+        async def _callback(stage: str, current: int, total: int):
+            self._update_progress(
+                task_id,
+                status="processing",
+                file_index=file_idx,
+                file_name=file_name,
+                stage=stage,
+                current=current,
+                total=total,
+            )
+
+        return _callback
+
     async def _background_upload_task(
         self,
         task_id: str,
@@ -80,11 +140,7 @@ class KnowledgeBaseRoute(Route):
         """后台上传任务"""
         try:
             # 初始化任务状态
-            self.upload_tasks[task_id] = {
+            self._init_task(task_id, status="processing")
-                "status": "processing",
-                "result": None,
-                "error": None,
-            }
             self.upload_progress[task_id] = {
                 "status": "processing",
                 "file_index": 0,
@@ -100,29 +156,19 @@ class KnowledgeBaseRoute(Route):
             for file_idx, file_info in enumerate(files_to_upload):
                 try:
                     # 更新整体进度
-                    self.upload_progress[task_id].update(
+                    self._update_progress(
-                        {
+                        task_id,
-                            "status": "processing",
+                        status="processing",
-                            "file_index": file_idx,
+                        file_index=file_idx,
-                            "file_name": file_info["file_name"],
+                        file_name=file_info["file_name"],
-                            "stage": "parsing",
+                        stage="parsing",
-                            "current": 0,
+                        current=0,
-                            "total": 100,
+                        total=100,
-                        },
                     )
 
                     # 创建进度回调函数
-                    async def progress_callback(stage, current, total):
+                    progress_callback = self._make_progress_callback(
-                        if task_id in self.upload_progress:
+                        task_id, file_idx, file_info["file_name"]
-                            self.upload_progress[task_id].update(
-                                {
-                                    "status": "processing",
-                                    "file_index": file_idx,
-                                    "file_name": file_info["file_name"],
-                                    "stage": stage,
-                                    "current": current,
-                                    "total": total,
-                                },
                     )
 
                     doc = await kb_helper.upload_document(
@@ -154,23 +200,99 @@ class KnowledgeBaseRoute(Route):
                 "failed_count": len(failed_docs),
             }
 
-            self.upload_tasks[task_id] = {
+            self._set_task_result(task_id, "completed", result=result)
-                "status": "completed",
-                "result": result,
-                "error": None,
-            }
-            self.upload_progress[task_id]["status"] = "completed"
 
         except Exception as e:
             logger.error(f"后台上传任务 {task_id} 失败: {e}")
             logger.error(traceback.format_exc())
-            self.upload_tasks[task_id] = {
+            self._set_task_result(task_id, "failed", error=str(e))
-                "status": "failed",
+
-                "result": None,
+    async def _background_import_task(
-                "error": str(e),
+        self,
+        task_id: str,
+        kb_helper,
+        documents: list,
+        batch_size: int,
+        tasks_limit: int,
+        max_retries: int,
+    ):
+        """后台导入预切片文档任务"""
+        try:
+            # 初始化任务状态
+            self._init_task(task_id, status="processing")
+            self.upload_progress[task_id] = {
+                "status": "processing",
+                "file_index": 0,
+                "file_total": len(documents),
+                "stage": "waiting",
+                "current": 0,
+                "total": 100,
             }
-            if task_id in self.upload_progress:
+
-                self.upload_progress[task_id]["status"] = "failed"
+            uploaded_docs = []
+            failed_docs = []
+
+            for file_idx, doc_info in enumerate(documents):
+                file_name = doc_info.get("file_name", f"imported_doc_{file_idx}")
+                chunks = doc_info.get("chunks", [])
+
+                try:
+                    # 更新整体进度
+                    self._update_progress(
+                        task_id,
+                        status="processing",
+                        file_index=file_idx,
+                        file_name=file_name,
+                        stage="importing",
+                        current=0,
+                        total=100,
+                    )
+
+                    # 创建进度回调函数
+                    progress_callback = self._make_progress_callback(
+                        task_id, file_idx, file_name
+                    )
+
+                    # 调用 upload_document，传入 pre_chunked_text
+                    doc = await kb_helper.upload_document(
+                        file_name=file_name,
+                        file_content=None,  # 预切片模式下不需要原始内容
+                        file_type=doc_info.get("file_type")
+                        or (
+                            file_name.rsplit(".", 1)[-1].lower()
+                            if "." in file_name
+                            else "txt"
+                        ),
+                        batch_size=batch_size,
+                        tasks_limit=tasks_limit,
+                        max_retries=max_retries,
+                        progress_callback=progress_callback,
+                        pre_chunked_text=chunks,
+                    )
+
+                    uploaded_docs.append(doc.model_dump())
+                except Exception as e:
+                    logger.error(f"导入文档 {file_name} 失败: {e}")
+                    failed_docs.append(
+                        {"file_name": file_name, "error": str(e)},
+                    )
+
+            # 更新任务完成状态
+            result = {
+                "task_id": task_id,
+                "uploaded": uploaded_docs,
+                "failed": failed_docs,
+                "total": len(documents),
+                "success_count": len(uploaded_docs),
+                "failed_count": len(failed_docs),
+            }
+
+            self._set_task_result(task_id, "completed", result=result)
+
+        except Exception as e:
+            logger.error(f"后台导入任务 {task_id} 失败: {e}")
+            logger.error(traceback.format_exc())
+            self._set_task_result(task_id, "failed", error=str(e))
 
     async def list_kbs(self):
         """获取知识库列表
@@ -614,11 +736,7 @@ class KnowledgeBaseRoute(Route):
             task_id = str(uuid.uuid4())
 
             # 初始化任务状态
-            self.upload_tasks[task_id] = {
+            self._init_task(task_id, status="pending")
-                "status": "pending",
-                "result": None,
-                "error": None,
-            }
 
             # 启动后台任务
             asyncio.create_task(
@@ -653,6 +771,93 @@ class KnowledgeBaseRoute(Route):
             logger.error(traceback.format_exc())
             return Response().error(f"上传文档失败: {e!s}").__dict__
 
+    def _validate_import_request(self, data: dict):
+        kb_id = data.get("kb_id")
+        if not kb_id:
+            raise ValueError("缺少参数 kb_id")
+
+        documents = data.get("documents")
+        if not documents or not isinstance(documents, list):
+            raise ValueError("缺少参数 documents 或格式错误")
+
+        for doc in documents:
+            if "file_name" not in doc or "chunks" not in doc:
+                raise ValueError("文档格式错误，必须包含 file_name 和 chunks")
+            if not isinstance(doc["chunks"], list):
+                raise ValueError("chunks 必须是列表")
+            if not all(
+                isinstance(chunk, str) and chunk.strip() for chunk in doc["chunks"]
+            ):
+                raise ValueError("chunks 必须是非空字符串列表")
+
+        batch_size = data.get("batch_size", 32)
+        tasks_limit = data.get("tasks_limit", 3)
+        max_retries = data.get("max_retries", 3)
+        return kb_id, documents, batch_size, tasks_limit, max_retries
+
+    async def import_documents(self):
+        """导入预切片文档
+
+        Body:
+        - kb_id: 知识库 ID (必填)
+        - documents: 文档列表 (必填)
+            - file_name: 文件名 (必填)
+            - chunks: 切片列表 (必填, list[str])
+            - file_type: 文件类型 (可选, 默认从文件名推断或为 txt)
+        - batch_size: 批处理大小 (可选, 默认32)
+        - tasks_limit: 并发任务限制 (可选, 默认3)
+        - max_retries: 最大重试次数 (可选, 默认3)
+        """
+        try:
+            kb_manager = self._get_kb_manager()
+            data = await request.json
+
+            kb_id, documents, batch_size, tasks_limit, max_retries = (
+                self._validate_import_request(data)
+            )
+
+            # 获取知识库
+            kb_helper = await kb_manager.get_kb(kb_id)
+            if not kb_helper:
+                return Response().error("知识库不存在").__dict__
+
+            # 生成任务ID
+            task_id = str(uuid.uuid4())
+
+            # 初始化任务状态
+            self._init_task(task_id, status="pending")
+
+            # 启动后台任务
+            asyncio.create_task(
+                self._background_import_task(
+                    task_id=task_id,
+                    kb_helper=kb_helper,
+                    documents=documents,
+                    batch_size=batch_size,
+                    tasks_limit=tasks_limit,
+                    max_retries=max_retries,
+                ),
+            )
+
+            return (
+                Response()
+                .ok(
+                    {
+                        "task_id": task_id,
+                        "doc_count": len(documents),
+                        "message": "import task created, processing in background",
+                    },
+                )
+                .__dict__
+            )
+
+        except ValueError as e:
+            return Response().error(str(e)).__dict__
+        except Exception as e:
+            logger.error(f"导入文档失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"导入文档失败: {e!s}").__dict__
+
     async def get_upload_progress(self):
         """获取上传进度和结果
 
@@ -960,11 +1165,7 @@ class KnowledgeBaseRoute(Route):
             task_id = str(uuid.uuid4())
 
             # 初始化任务状态
-            self.upload_tasks[task_id] = {
+            self._init_task(task_id, status="pending")
-                "status": "pending",
-                "result": None,
-                "error": None,
-            }
 
             # 启动后台任务
             asyncio.create_task(
@@ -1017,11 +1218,7 @@ class KnowledgeBaseRoute(Route):
         """后台上传URL任务"""
         try:
             # 初始化任务状态
-            self.upload_tasks[task_id] = {
+            self._init_task(task_id, status="processing")
-                "status": "processing",
-                "result": None,
-                "error": None,
-            }
             self.upload_progress[task_id] = {
                 "status": "processing",
                 "file_index": 0,
@@ -1033,18 +1230,7 @@ class KnowledgeBaseRoute(Route):
             }
 
             # 创建进度回调函数
-            async def progress_callback(stage, current, total):
+            progress_callback = self._make_progress_callback(task_id, 0, f"URL: {url}")
-                if task_id in self.upload_progress:
-                    self.upload_progress[task_id].update(
-                        {
-                            "status": "processing",
-                            "file_index": 0,
-                            "file_name": f"URL: {url}",
-                            "stage": stage,
-                            "current": current,
-                            "total": total,
-                        },
-                    )
 
             # 上传文档
             doc = await kb_helper.upload_from_url(
@@ -1069,20 +1255,9 @@ class KnowledgeBaseRoute(Route):
                 "failed_count": 0,
             }
 
-            self.upload_tasks[task_id] = {
+            self._set_task_result(task_id, "completed", result=result)
-                "status": "completed",
-                "result": result,
-                "error": None,
-            }
-            self.upload_progress[task_id]["status"] = "completed"
 
         except Exception as e:
             logger.error(f"后台上传URL任务 {task_id} 失败: {e}")
             logger.error(traceback.format_exc())
-            self.upload_tasks[task_id] = {
+            self._set_task_result(task_id, "failed", error=str(e))
-                "status": "failed",
-                "result": None,
-                "error": str(e),
-            }
-            if task_id in self.upload_progress:
-                self.upload_progress[task_id]["status"] = "failed"

astrbot/dashboard/routes/plugin.py

@@ -124,7 +124,11 @@ class PluginRoute(Route):
                     session.get(url) as response,
                 ):
                     if response.status == 200:
+                        try:
                             remote_data = await response.json()
+                        except aiohttp.ContentTypeError:
+                            remote_text = await response.text()
+                            remote_data = json.loads(remote_text)
 
                         # 检查远程数据是否为空
                         if not remote_data or (

changelogs/v4.9.0.md

@@ -0,0 +1,19 @@
+## What's Changed
+
+### 新增
+
+- 支持自定义插件源。
+- 支持飞书（Lark）的 Webhook 模式（将事件推送至开发者服务器）。
+- 支持 “禁用自带指令” 快捷配置项，启用后将禁用所有 AstrBot 自带指令。入口： WebUI -> 配置文件 -> 平台配置。
+
+### 优化
+
+- 从 WebUI 移除了开发版本渠道。
+- 当试图测试"Agent Runner"时，提示前往配置文件页测试。
+- WebUI 列表项支持批量粘贴、回车创建项目。
+
+### 修复
+
+- Gemini API 部分调用失败的问题。
+- WebUI 插件安装加载 Dialog 关闭按钮在手机端下显示异常的问题。
+- 部分情况下，WebUI 日志显示不全的问题。

changelogs/v4.9.1.md

@@ -0,0 +1,16 @@
+## What's Changed
+
+### 修复
+
+- 企业自部署飞书（自定义 domain）可以接收消息但无法发送消息的问题。
+- 安装插件 Dialog 的深色样式问题。
+
+### 优化
+
+- 避免某些插件在流式响应结束后重复发送消息的问题。
+
+### 新增
+
+- 支持在对话管理批量导出对话轨迹数据为 `jsonl` 格式文件。入口：WebUI -> 对话管理 -> 批量选中 -> 导出。
+- 支持对 TTS（文本转语音）设置概率触发。
+- （插件开发）支持在 schema 中对 float 和 int 类型设置 `slider` 滑块控件。例如 `slider: {min: 0, max: 1, step: 0.1}`。

dashboard/src/components/shared/AstrBotConfig.vue

@@ -304,16 +304,32 @@ function hasVisibleItemsAfter(items, currentIndex) {
                   hide-details
                 ></v-text-field>
 
-                <!-- Numeric input -->
+                <!-- Numeric input with optional slider -->
-                <v-text-field
+                <div
                   v-else-if="(metadata[metadataKey].items[key]?.type === 'int' || metadata[metadataKey].items[key]?.type === 'float') && !metadata[metadataKey]?.invisible"
-                  v-model="iterable[key]"
+                  class="d-flex align-center gap-3"
+                >
+                  <v-slider
+                    v-if="metadata[metadataKey].items[key]?.slider"
+                    v-model.number="iterable[key]"
+                    :min="metadata[metadataKey].items[key]?.slider?.min ?? 0"
+                    :max="metadata[metadataKey].items[key]?.slider?.max ?? 100"
+                    :step="metadata[metadataKey].items[key]?.slider?.step ?? 1"
+                    color="primary"
+                    density="compact"
+                    hide-details
+                    class="flex-grow-1"
+                  ></v-slider>
+                  <v-text-field
+                    v-model.number="iterable[key]"
                     density="compact"
                     variant="outlined"
                     class="config-field"
                     type="number"
                     hide-details
+                    style="max-width: 140px;"
                   ></v-text-field>
+                </div>
 
                 <!-- Text area -->
                 <v-textarea
@@ -413,16 +429,32 @@ function hasVisibleItemsAfter(items, currentIndex) {
               hide-details
             ></v-text-field>
 
-            <!-- Numeric input -->
+            <!-- Numeric input with optional slider -->
-            <v-text-field
+            <div
               v-else-if="(metadata[metadataKey]?.type === 'int' || metadata[metadataKey]?.type === 'float') && !metadata[metadataKey]?.invisible"
-              v-model="iterable[metadataKey]"
+              class="d-flex align-center gap-3"
+            >
+              <v-slider
+                v-if="metadata[metadataKey]?.slider"
+                v-model.number="iterable[metadataKey]"
+                :min="metadata[metadataKey]?.slider?.min ?? 0"
+                :max="metadata[metadataKey]?.slider?.max ?? 100"
+                :step="metadata[metadataKey]?.slider?.step ?? 1"
+                color="primary"
+                density="compact"
+                hide-details
+                class="flex-grow-1"
+              ></v-slider>
+              <v-text-field
+                v-model.number="iterable[metadataKey]"
                 density="compact"
                 variant="outlined"
                 class="config-field"
                 type="number"
                 hide-details
+                style="max-width: 140px;"
               ></v-text-field>
+            </div>
 
             <!-- Text area -->
             <v-textarea

dashboard/src/components/shared/AstrBotConfigV4.vue

@@ -245,10 +245,29 @@ function getSpecialSubtype(value) {
                 <v-text-field v-else-if="itemMeta?.type === 'string'" v-model="createSelectorModel(itemKey).value"
                   density="compact" variant="outlined" class="config-field" hide-details></v-text-field>
 
-                <!-- Numeric input for JSON selector -->
+                <!-- Numeric input with optional slider for JSON selector -->
-                <v-text-field v-else-if="itemMeta?.type === 'int' || itemMeta?.type === 'float'"
+                <div v-else-if="itemMeta?.type === 'int' || itemMeta?.type === 'float'" class="d-flex align-center gap-3">
-                  v-model="createSelectorModel(itemKey).value" density="compact" variant="outlined" class="config-field"
+                  <v-slider
-                  type="number" hide-details></v-text-field>
+                    v-if="itemMeta?.slider"
+                    v-model.number="createSelectorModel(itemKey).value"
+                    :min="itemMeta?.slider?.min ?? 0"
+                    :max="itemMeta?.slider?.max ?? 100"
+                    :step="itemMeta?.slider?.step ?? 1"
+                    color="primary"
+                    density="compact"
+                    hide-details
+                    style="flex: 3"
+                  ></v-slider>
+                  <v-text-field
+                    v-model.number="createSelectorModel(itemKey).value"
+                    density="compact"
+                    variant="outlined"
+                    class="config-field"
+                    style="flex: 2"
+                    type="number"
+                    hide-details
+                  ></v-text-field>
+                </div>
 
                 <!-- Text area for JSON selector -->
                 <v-textarea v-else-if="itemMeta?.type === 'text'" v-model="createSelectorModel(itemKey).value"

dashboard/src/components/shared/ConsoleDisplayer.vue

@@ -1,6 +1,7 @@
 <script setup>
 import { useCommonStore } from '@/stores/common';
 import { storeToRefs } from 'pinia';
+import axios from 'axios';
 </script>
 
 <template>
@@ -24,8 +25,6 @@ import { storeToRefs } from 'pinia';
 export default {
   name: 'ConsoleDisplayer',
   data() {
-    const commonStore = useCommonStore();
-    const { log_cache } = storeToRefs(commonStore);
     return {
       autoScroll: true,  // 默认开启自动滚动
       logColorAnsiMap: {
@@ -38,7 +37,6 @@ export default {
         '\u001b[32m': 'color: #00FF00;',  // green
         'default': 'color: #FFFFFF;'
       },
-      logCache: log_cache,
       historyNum_: -1,
       logLevels: ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'],
       selectedLevels: [0, 1, 2, 3, 4], // 默认选中所有级别
@@ -48,7 +46,17 @@ export default {
         'WARNING': 'amber',
         'ERROR': 'red',
         'CRITICAL': 'purple'
+      },
+      lastProcessedTime: 0, // 记录最后处理的日志时间戳
+      localLogCache: [], // 本地日志缓存
     }
+  },
+  computed: {
+    commonStore() {
+      return useCommonStore();
+    },
+    logCache() {
+      return this.commonStore.log_cache;
     }
   },
   props: {
@@ -63,13 +71,39 @@ export default {
   },
   watch: {
     logCache: {
-      handler(val) {
+      handler(newVal) {
-        const lastLog = val[this.logCache.length - 1];
+        // 基于 timestamp 处理新增的日志
-        if (lastLog && this.isLevelSelected(lastLog.level)) {
+        if (newVal && newVal.length > 0) {
-          this.printLog(lastLog.data);
+          // 确保 DOM 已经准备好
+          this.$nextTick(() => {
+            // 合并到本地缓存并按时间排序
+            const newLogs = newVal.filter(log => log.time > this.lastProcessedTime);
+            
+            if (newLogs.length > 0) {
+              this.localLogCache.push(...newLogs);
+              // 按时间戳排序
+              this.localLogCache.sort((a, b) => a.time - b.time);
+              
+              // 只保留最新的 log_cache_max_len 条
+              if (this.localLogCache.length > this.commonStore.log_cache_max_len) {
+                this.localLogCache.splice(0, this.localLogCache.length - this.commonStore.log_cache_max_len);
+              }
+              
+              // 显示新日志
+              newLogs.forEach(logItem => {
+                if (this.isLevelSelected(logItem.level)) {
+                  this.printLog(logItem.data);
+                }
+              });
+              
+              // 更新最后处理时间
+              this.lastProcessedTime = Math.max(...newLogs.map(log => log.time));
+            }
+          });
         }
       },
-      deep: true
+      deep: true,
+      immediate: false
     },
     selectedLevels: {
       handler() {
@@ -78,14 +112,37 @@ export default {
       deep: true
     }
   },
-  mounted() {
+  async mounted() {
-    if (this.logCache.length === 0) {
+    // 请求历史日志
-      this.delayInit()
+    await this.fetchLogHistory();
-    } else {
+    
-      this.init()
+    // 等待 DOM 准备好后，显示历史日志
+    this.$nextTick(() => {
+      if (this.localLogCache.length > 0) {
+        this.localLogCache.forEach(logItem => {
+          if (this.isLevelSelected(logItem.level)) {
+            this.printLog(logItem.data);
           }
+        });
+        // 更新最后处理时间
+        this.lastProcessedTime = Math.max(...this.localLogCache.map(log => log.time));
+      }
+    });
   },
   methods: {
+    async fetchLogHistory() {
+      try {
+        const res = await axios.get('/api/log-history');
+        if (res.data.data.logs && res.data.data.logs.length > 0) {
+          this.localLogCache = [...res.data.data.logs];
+          // 按时间戳排序
+          this.localLogCache.sort((a, b) => a.time - b.time);
+        }
+      } catch (err) {
+        console.error('Failed to fetch log history:', err);
+      }
+    },
+    
     getLevelColor(level) {
       return this.levelColors[level] || 'grey';
     },
@@ -101,40 +158,21 @@ export default {
     },
 
     refreshDisplay() {
-      // 清空现有的显示
       const termElement = document.getElementById('term');
       if (termElement) {
         termElement.innerHTML = '';
+        
+        // 重新显示所有符合筛选条件的日志
+        if (this.localLogCache && this.localLogCache.length > 0) {
+          this.localLogCache.forEach(logItem => {
+            if (this.isLevelSelected(logItem.level)) {
+              this.printLog(logItem.data);
+            }
+          });
         }
-
-      // 重新显示符合筛选条件的日志
-      this.init();
-    },
-
-    delayInit() {
-      if (this.logCache.length === 0) {
-        setTimeout(() => {
-          this.delayInit()
-        }, 500)
-      } else {
-        this.init()
       }
     },
 
-    init() {
-      this.historyNum_ = parseInt(this.historyNum)
-      let i = 0
-      for (let log of this.logCache) {
-        if (this.isLevelSelected(log.level)) { // 只显示选中级别的日志
-          if (this.historyNum_ != -1 && i >= this.logCache.length - this.historyNum_) {
-            this.printLog(log.data)
-            ++i
-          } else if (this.historyNum_ == -1) {
-            this.printLog(log.data)
-          }
-        }
-      }
-    },
 
     toggleAutoScroll() {
       this.autoScroll = !this.autoScroll;
@@ -143,6 +181,11 @@ export default {
     printLog(log) {
       // append 一个 span 标签到 term，block 的方式
       let ele = document.getElementById('term')
+      if (!ele) {
+        console.warn('term element not found, skipping log print');
+        return;
+      }
+      
       let span = document.createElement('pre')
       let style = this.logColorAnsiMap['default']
       for (let key in this.logColorAnsiMap) {

dashboard/src/components/shared/ReadmeDialog.vue

@@ -115,7 +115,7 @@ const _show = computed({
 </script>
 
 <template>
-  <v-dialog v-model="_show" width="800" persistent>
+  <v-dialog v-model="_show" width="800">
     <v-card>
       <v-card-title class="d-flex justify-space-between align-center">
         <span class="text-h5">{{ t('core.common.readme.title') }}</span>

dashboard/src/i18n/locales/en-US/features/config-metadata.json

@@ -57,6 +57,9 @@
         },
         "provider_id": {
           "description": "Default Text-to-Speech Model"
+        },
+        "trigger_probability": {
+          "description": "TTS Trigger Probability"
         }
       }
     },

dashboard/src/i18n/locales/en-US/features/conversation.json

@@ -13,7 +13,8 @@
     "refresh": "Refresh"
   },
   "batch": {
-    "deleteSelected": "Delete Selected ({count})"
+    "deleteSelected": "Delete Selected ({count})",
+    "exportSelected": "Export Selected ({count})"
   },
   "pagination": {
     "itemsPerPage": "Items per page",
@@ -76,7 +77,8 @@
       "message": "Are you sure you want to delete the selected {count} conversations? This action cannot be undone, please proceed with caution!",
       "andMore": "and {count} more",
       "cancel": "Cancel",
-      "confirm": "Batch Delete"
+      "confirm": "Batch Delete",
+      "warning": "Warning: This action cannot be undone!"
     }
   },
   "messages": {
@@ -92,6 +94,9 @@
     "noItemSelected": "Please select conversations to delete first",
     "batchDeleteSuccess": "Successfully deleted {count} conversations",
     "batchDeleteError": "Batch delete failed",
-    "batchDeletePartial": "Delete completed: {deleted} successful, {failed} failed"
+    "batchDeletePartial": "Delete completed: {deleted} successful, {failed} failed",
+    "exportSuccess": "Export successful",
+    "exportError": "Export failed",
+    "noItemSelectedForExport": "Please select conversations to export first"
   }
 } 

dashboard/src/i18n/locales/zh-CN/features/config-metadata.json

@@ -62,6 +62,9 @@
         },
         "provider_id": {
           "description": "默认文本转语音模型"
+        },
+        "trigger_probability": {
+          "description": "TTS 触发概率"
         }
       }
     },

dashboard/src/i18n/locales/zh-CN/features/conversation.json

@@ -13,7 +13,8 @@
     "refresh": "刷新"
   },
   "batch": {
-    "deleteSelected": "删除选中 ({count})"
+    "deleteSelected": "删除选中 ({count})",
+    "exportSelected": "导出选中 ({count})"
   },
   "pagination": {
     "itemsPerPage": "每页",
@@ -76,7 +77,8 @@
       "message": "确定要删除选中的 {count} 个对话吗？此操作不可恢复，请谨慎操作！",
       "andMore": "等 {count} 个",
       "cancel": "取消",
-      "confirm": "批量删除"
+      "confirm": "批量删除",
+      "warning": "警告：此操作不可撤销！"
     }
   },
   "messages": {
@@ -92,6 +94,9 @@
     "noItemSelected": "请先选择要删除的对话",
     "batchDeleteSuccess": "成功删除 {count} 个对话",
     "batchDeleteError": "批量删除失败",
-    "batchDeletePartial": "删除完成：成功 {deleted} 个，失败 {failed} 个"
+    "batchDeletePartial": "删除完成：成功 {deleted} 个，失败 {failed} 个",
+    "exportSuccess": "导出成功",
+    "exportError": "导出失败",
+    "noItemSelectedForExport": "请先选择要导出的对话"
   }
 } 

dashboard/src/stores/common.js

@@ -16,21 +16,6 @@ export const useCommonStore = defineStore({
   }),
   actions: {
     async createEventSource() {
-
-      const fetchLogHistory = async () => {
-        try {
-          const res = await axios.get('/api/log-history');
-          if (res.data.data.logs) {
-            this.log_cache.push(...res.data.data.logs);
-          } else {
-            this.log_cache = [];
-          }
-        } catch (err) {
-          console.error('Failed to fetch log history:', err);
-        }
-      };
-      await fetchLogHistory();
-
       if (this.eventSource) {
         return
       }
@@ -54,25 +39,9 @@ export const useCommonStore = defineStore({
 
         const reader = response.body.getReader();
         const decoder = new TextDecoder();
-
+        let bufferedText = '';
-        let incompleteLine = ""; // 用于存储不完整的行
-
-        const handleIncompleteLine = (line) => {
-          incompleteLine += line;
-          // if can parse as JSON, return it
-          try {
-            const data_json = JSON.parse(incompleteLine);
-            incompleteLine = ""; // 清空不完整行
-            return data_json;
-          } catch (e) {
-            return null;
-          }
-        }
 
         const processStream = ({ done, value }) => {
-          // get bytes length
-          const bytesLength = value ? value.byteLength : 0;
-          console.log(`Received ${bytesLength} bytes from live log`);
           if (done) {
             console.log('SSE stream closed');
             setTimeout(() => {
@@ -82,44 +51,41 @@ export const useCommonStore = defineStore({
             return;
           }
 
-          const text = decoder.decode(value);
+          // Accumulate partial chunks; SSE data may split JSON across reads.
-          const lines = text.split('\n\n');
+          const text = decoder.decode(value, { stream: true });
-          lines.forEach(line => {
+          bufferedText += text;
-            if (!line.trim()) {
+
+          // Split completed events; keep the trailing partial in buffer.
+          const segments = bufferedText.split('\n\n');
+          bufferedText = segments.pop() || '';
+
+          segments.forEach(segment => {
+            const line = segment.trim();
+            if (!line.startsWith('data: ')) {
               return;
             }
-            if (line.startsWith('data:')) {
+
-              const data = line.substring(5).trim();
+            const logLine = line.replace('data: ', '').trim();
-              // {"type":"log","data":"[2021-08-01 00:00:00] INFO: Hello, world!"}
+            if (!logLine) {
-              let data_json = {}
+              return;
+            }
+
             try {
-                data_json = JSON.parse(data);
+              const logObject = JSON.parse(logLine);
-              } catch (e) {
+              // give a uuid if not exists
-                console.warn('Invalid JSON:', data);
+              if (!logObject.uuid) {
-                // 尝试处理不完整的行
+                logObject.uuid = crypto.randomUUID();
-                const parsedData = handleIncompleteLine(data);
-                if (parsedData) {
-                  data_json = parsedData;
-                } else {
-                  return; // 如果无法解析，跳过当前行
               }
-              }
+              this.log_cache.push(logObject);
-              if (data_json.type === 'log') {
+              // Limit log cache size
-                this.log_cache.push(data_json);
               if (this.log_cache.length > this.log_cache_max_len) {
-                  this.log_cache.shift();
+                this.log_cache.splice(0, this.log_cache.length - this.log_cache_max_len);
-                }
-              }
-            } else {
-              const parsedData = handleIncompleteLine(line);
-              if (parsedData && parsedData.type === 'log') {
-                this.log_cache.push(parsedData);
-                if (this.log_cache.length > this.log_cache_max_len) {
-                  this.log_cache.shift();
-                }
               }
+            } catch (err) {
+              console.warn('Failed to parse SSE log line, skipping:', err, logLine);
             }
           });
+          
           return reader.read().then(processStream);
         };
 

dashboard/src/views/ConversationPage.vue

@@ -40,6 +40,17 @@
                         :loading="loading" size="small" class="mr-2">
                         {{ tm('history.refresh') }}
                     </v-btn>
+                    <v-btn 
+                        v-if="selectedItems.length > 0" 
+                        color="success" 
+                        prepend-icon="mdi-download"
+                        variant="tonal" 
+                        @click="exportConversations" 
+                        :disabled="loading"
+                        size="small"
+                        class="mr-2">
+                        {{ tm('batch.exportSelected', { count: selectedItems.length }) }}
+                    </v-btn>
                     <v-btn 
                         v-if="selectedItems.length > 0" 
                         color="error" 
@@ -910,6 +921,53 @@ export default {
             }
         },
 
+        // 导出选中的对话
+        async exportConversations() {
+            if (this.selectedItems.length === 0) {
+                this.showErrorMessage(this.tm('messages.noItemSelectedForExport'));
+                return;
+            }
+
+            this.loading = true;
+            try {
+                // 准备导出的数据
+                const conversations = this.selectedItems.map(item => ({
+                    user_id: item.user_id,
+                    cid: item.cid
+                }));
+
+                const response = await axios.post('/api/conversation/export', {
+                    conversations: conversations
+                }, {
+                    responseType: 'blob' // 重要：告诉 axios 响应是一个 blob
+                });
+
+                // 创建一个下载链接
+                const url = window.URL.createObjectURL(response.data);
+                const link = document.createElement('a');
+                link.href = url;
+                
+                // 生成文件名（使用时间戳）
+                const timestamp = new Date().toISOString().replace(/[:.]/g, '-').slice(0, -5);
+                const filename = `conversations_export_${timestamp}.jsonl`;
+                
+                link.setAttribute('download', filename);
+                document.body.appendChild(link);
+                link.click();
+                
+                // 清理
+                link.remove();
+                window.URL.revokeObjectURL(url);
+                
+                this.showSuccessMessage(this.tm('messages.exportSuccess'));
+            } catch (error) {
+                console.error(this.tm('messages.exportError'), error);
+                this.showErrorMessage(error.response?.data?.message || error.message || this.tm('messages.exportError'));
+            } finally {
+                this.loading = false;
+            }
+        },
+
         // 格式化时间戳
         formatTimestamp(timestamp) {
             if (!timestamp) return this.tm('status.unknown');

dashboard/src/views/ExtensionPage.vue

@@ -1568,7 +1568,7 @@ watch(marketSearch, (newVal) => {
 
   <!-- 上传插件对话框 -->
   <v-dialog v-model="dialog" width="500">
-    <div class="v-card v-theme--PurpleThemeDark v-card--density-default rounded-lg v-card--variant-elevated">
+    <div class="v-card v-card--density-default rounded-lg v-card--variant-elevated">
       <div class="v-card__loader">
         <v-progress-linear :indeterminate="loading_" color="primary" height="2" :active="loading_"></v-progress-linear>
       </div>

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "AstrBot"
-version = "4.8.0"
+version = "4.9.1"
 description = "Easy-to-use multi-platform LLM chatbot and development framework"
 readme = "README.md"
 requires-python = ">=3.10"

tests/test_kb_import.py

@@ -0,0 +1,209 @@
+import asyncio
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+import pytest_asyncio
+from quart import Quart
+
+from astrbot.core import LogBroker
+from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
+from astrbot.core.db.sqlite import SQLiteDatabase
+from astrbot.core.knowledge_base.kb_helper import KBHelper
+from astrbot.core.knowledge_base.models import KBDocument
+from astrbot.dashboard.server import AstrBotDashboard
+
+
+@pytest_asyncio.fixture(scope="module")
+async def core_lifecycle_td(tmp_path_factory):
+    """Creates and initializes a core lifecycle instance with a temporary database."""
+    tmp_db_path = tmp_path_factory.mktemp("data") / "test_data_kb.db"
+    db = SQLiteDatabase(str(tmp_db_path))
+    log_broker = LogBroker()
+    core_lifecycle = AstrBotCoreLifecycle(log_broker, db)
+    await core_lifecycle.initialize()
+
+    # Mock kb_manager and kb_helper
+    kb_manager = MagicMock()
+    kb_helper = AsyncMock(spec=KBHelper)
+
+    # Configure get_kb to be an async mock that returns kb_helper
+    kb_manager.get_kb = AsyncMock(return_value=kb_helper)
+
+    # Mock upload_document return value
+    mock_doc = KBDocument(
+        doc_id="test_doc_id",
+        kb_id="test_kb_id",
+        doc_name="test_file.txt",
+        file_type="txt",
+        file_size=100,
+        file_path="",
+        chunk_count=2,
+        media_count=0,
+    )
+    kb_helper.upload_document.return_value = mock_doc
+
+    # kb_manager.get_kb.return_value = kb_helper # Removed this line as it's handled above
+    core_lifecycle.kb_manager = kb_manager
+
+    try:
+        yield core_lifecycle
+    finally:
+        try:
+            _stop_res = core_lifecycle.stop()
+            if asyncio.iscoroutine(_stop_res):
+                await _stop_res
+        except Exception:
+            pass
+
+
+@pytest.fixture(scope="module")
+def app(core_lifecycle_td: AstrBotCoreLifecycle):
+    """Creates a Quart app instance for testing."""
+    shutdown_event = asyncio.Event()
+    server = AstrBotDashboard(core_lifecycle_td, core_lifecycle_td.db, shutdown_event)
+    return server.app
+
+
+@pytest_asyncio.fixture(scope="module")
+async def authenticated_header(app: Quart, core_lifecycle_td: AstrBotCoreLifecycle):
+    """Handles login and returns an authenticated header."""
+    test_client = app.test_client()
+    response = await test_client.post(
+        "/api/auth/login",
+        json={
+            "username": core_lifecycle_td.astrbot_config["dashboard"]["username"],
+            "password": core_lifecycle_td.astrbot_config["dashboard"]["password"],
+        },
+    )
+    data = await response.get_json()
+    assert data["status"] == "ok"
+    token = data["data"]["token"]
+    return {"Authorization": f"Bearer {token}"}
+
+
+@pytest.mark.asyncio
+async def test_import_documents(
+    app: Quart, authenticated_header: dict, core_lifecycle_td: AstrBotCoreLifecycle
+):
+    """Tests the import documents functionality."""
+    test_client = app.test_client()
+
+    # Test data
+    import_data = {
+        "kb_id": "test_kb_id",
+        "documents": [
+            {"file_name": "test_file_1.txt", "chunks": ["chunk1", "chunk2"]},
+            {"file_name": "test_file_2.md", "chunks": ["chunk3", "chunk4", "chunk5"]},
+        ],
+    }
+
+    # Send request
+    response = await test_client.post(
+        "/api/kb/document/import", json=import_data, headers=authenticated_header
+    )
+
+    # Verify response
+    assert response.status_code == 200
+    data = await response.get_json()
+    assert data["status"] == "ok"
+    assert "task_id" in data["data"]
+    assert data["data"]["doc_count"] == 2
+
+    task_id = data["data"]["task_id"]
+
+    # Wait for background task to complete (mocked)
+    # Since we mocked upload_document, it should be fast, but we might need to poll progress
+    for _ in range(10):
+        progress_response = await test_client.get(
+            f"/api/kb/document/upload/progress?task_id={task_id}",
+            headers=authenticated_header,
+        )
+        progress_data = await progress_response.get_json()
+        if progress_data["data"]["status"] == "completed":
+            break
+        await asyncio.sleep(0.1)
+
+    assert progress_data["data"]["status"] == "completed"
+    result = progress_data["data"]["result"]
+    assert result["success_count"] == 2
+    assert result["failed_count"] == 0
+
+    # Verify kb_helper.upload_document was called correctly
+    kb_helper = await core_lifecycle_td.kb_manager.get_kb("test_kb_id")
+    assert kb_helper.upload_document.call_count == 2
+
+    # Check first call arguments
+    call_args_list = kb_helper.upload_document.call_args_list
+
+    # First document
+    args1, kwargs1 = call_args_list[0]
+    assert kwargs1["file_name"] == "test_file_1.txt"
+    assert kwargs1["pre_chunked_text"] == ["chunk1", "chunk2"]
+
+    # Second document
+    args2, kwargs2 = call_args_list[1]
+    assert kwargs2["file_name"] == "test_file_2.md"
+    assert kwargs2["pre_chunked_text"] == ["chunk3", "chunk4", "chunk5"]
+
+
+@pytest.mark.asyncio
+async def test_import_documents_invalid_input(app: Quart, authenticated_header: dict):
+    """Tests import documents with invalid input."""
+    test_client = app.test_client()
+
+    # Missing kb_id
+    response = await test_client.post(
+        "/api/kb/document/import", json={"documents": []}, headers=authenticated_header
+    )
+    data = await response.get_json()
+    assert data["status"] == "error"
+    assert "缺少参数 kb_id" in data["message"]
+
+    # Missing documents
+    response = await test_client.post(
+        "/api/kb/document/import",
+        json={"kb_id": "test_kb"},
+        headers=authenticated_header,
+    )
+    data = await response.get_json()
+    assert data["status"] == "error"
+    assert "缺少参数 documents" in data["message"]
+
+    # Invalid document format
+    response = await test_client.post(
+        "/api/kb/document/import",
+        json={
+            "kb_id": "test_kb",
+            "documents": [{"file_name": "test"}],  # Missing chunks
+        },
+        headers=authenticated_header,
+    )
+    data = await response.get_json()
+    assert data["status"] == "error"
+    assert "文档格式错误" in data["message"]
+
+    # Invalid chunks type
+    response = await test_client.post(
+        "/api/kb/document/import",
+        json={
+            "kb_id": "test_kb",
+            "documents": [{"file_name": "test", "chunks": "not-a-list"}],
+        },
+        headers=authenticated_header,
+    )
+    data = await response.get_json()
+    assert data["status"] == "error"
+    assert "chunks 必须是列表" in data["message"]
+
+    # Invalid chunks content
+    response = await test_client.post(
+        "/api/kb/document/import",
+        json={
+            "kb_id": "test_kb",
+            "documents": [{"file_name": "test", "chunks": ["valid", ""]}],
+        },
+        headers=authenticated_header,
+    )
+    data = await response.get_json()
+    assert data["status"] == "error"
+    assert "chunks 必须是非空字符串列表" in data["message"]