chore: bump version to 4.10.3

* refactor: move builtin stars to astrbot package

fixes: #4202

* chore: ruff format

* chore: remove print

.github/copilot-instructions.md

@@ -15,7 +15,6 @@ Always reference these instructions first and fallback to search or bash command
 ### Running the Application
 - Run main application: `uv run main.py` -- starts in ~3 seconds
 - Application creates WebUI on http://localhost:6185 (default credentials: `astrbot`/`astrbot`)
-- Application loads plugins automatically from `packages/` and `data/plugins/` directories
 
 ### Dashboard Build (Vue.js/Node.js)
 - **Prerequisites**: Node.js 20+ and npm 10+ required
@@ -35,7 +34,7 @@ Always reference these instructions first and fallback to search or bash command
 - **ALWAYS** run `uv run ruff check .` and `uv run ruff format .` before committing changes
 
 ### Plugin Development
-- Plugins load from `packages/` (built-in) and `data/plugins/` (user-installed)
+- Plugins load from `astrbot/builtin_stars/` (built-in) and `data/plugins/` (user-installed)
 - Plugin system supports function tools and message handlers
 - Key plugins: python_interpreter, web_searcher, astrbot, reminder, session_controller
 

.github/workflows/dashboard_ci.yml

@@ -36,7 +36,7 @@ jobs:
           zip -r dist.zip dist
 
       - name: Archive production artifacts
-        uses: actions/upload-artifact@v5
+        uses: actions/upload-artifact@v6
         with:
           name: dist-without-markdown
           path: |

.gitignore

@@ -24,9 +24,9 @@ configs/session
 configs/config.yaml
 cmd_config.json
 
-# Plugins and packages
+# Plugins
 addons/plugins
-packages/python_interpreter/workplace
+astrbot/builtin_stars/python_interpreter/workplace
 tests/astrbot_plugin_openai
 
 # Dashboard

CONTRIBUTING.md

@@ -33,6 +33,20 @@
 - 请使用英文描述您的 PR。
 - 标题请使用 `fix: `, `feat: `, `docs: `, `style: `, `refactor: `, `test: `, `chore: ` 等语义化前缀，并简要描述更改内容。如：`fix: correct login page typo`。
 
+#### 代码规范
+
+##### Core
+
+我们使用 Ruff 作为代码格式化和静态分析工具。在提交代码之前，请运行以下命令以确保代码符合规范：
+
+```bash
+ruff format .
+ruff check .
+```
+
+如果您使用 VSCode，可以安装 `Ruff` 插件。
+
+
 ## Contributing Guide
 
 First off, thanks for taking the time to contribute! ❤️
@@ -62,4 +76,15 @@ We use the `fix/` prefix for bug fixes and the `feat/` prefix for new features.
 
 #### PR Description
 - Please use English to describe your PR.
-- Use semantic prefixes like `fix: `, `feat: `, `docs: `, `style: `, `refactor: `, `test: `, `chore: ` in the title, followed by a brief description of the changes, e.g., `fix: correct login page typo`.
+- Use semantic prefixes like `fix: `, `feat: `, `docs: `, `style: `, `refactor: `, `test: `, `chore: ` in the title, followed by a brief description of the changes, e.g., `fix: correct login page typo`.
+
+#### Code Style
+
+##### Core
+
+We use Ruff as our code formatter and static analysis tool. Before submitting your code, please run the following commands to ensure your code adheres to the style guidelines:
+
+```bash
+ruff format .
+ruff check .
+```

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/builtin_stars/astrbot/process_llm_request.py

@@ -7,6 +7,7 @@ from astrbot.api import logger, sp, star
 from astrbot.api.event import AstrMessageEvent
 from astrbot.api.message_components import Image, Reply
 from astrbot.api.provider import Provider, ProviderRequest
+from astrbot.core.agent.message import TextPart
 from astrbot.core.provider.func_tool_manager import ToolSet
 
 
@@ -85,7 +86,9 @@ class ProcessLLMRequest:
                 req.image_urls,
             )
             if caption:
-                req.prompt = f"(Image Caption: {caption})\n\n{req.prompt}"
+                req.extra_user_content_parts.append(
+                    TextPart(text=f"<image_caption>{caption}</image_caption>")
+                )
                 req.image_urls = []
         except Exception as e:
             logger.error(f"处理图片描述失败: {e}")
@@ -129,13 +132,14 @@ class ProcessLLMRequest:
             else:
                 req.prompt = prefix + req.prompt
 
+        # 收集系统提醒信息
+        system_parts = []
+
         # user identifier
         if cfg.get("identifier"):
             user_id = event.message_obj.sender.user_id
             user_nickname = event.message_obj.sender.nickname
-            req.prompt = (
-                f"\n[User ID: {user_id}, Nickname: {user_nickname}]\n{req.prompt}"
-            )
+            system_parts.append(f"User ID: {user_id}, Nickname: {user_nickname}")
 
         # group name identifier
         if cfg.get("group_name_display") and event.message_obj.group_id:
@@ -146,7 +150,7 @@ class ProcessLLMRequest:
                 return
             group_name = event.message_obj.group.group_name
             if group_name:
-                req.system_prompt += f"\nGroup name: {group_name}\n"
+                system_parts.append(f"Group name: {group_name}")
 
         # time info
         if cfg.get("datetime_system_prompt"):
@@ -162,7 +166,7 @@ class ProcessLLMRequest:
                 current_time = (
                     datetime.datetime.now().astimezone().strftime("%Y-%m-%d %H:%M (%Z)")
                 )
-            req.system_prompt += f"\nCurrent datetime: {current_time}\n"
+            system_parts.append(f"Current datetime: {current_time}")
 
         img_cap_prov_id: str = cfg.get("default_image_caption_provider_id") or ""
         if req.conversation:
@@ -181,37 +185,61 @@ class ProcessLLMRequest:
                 quote = comp
                 break
         if quote:
-            sender_info = ""
-            if quote.sender_nickname:
-                sender_info = f"(Sent by {quote.sender_nickname})"
-            message_str = quote.message_str or "[Empty Text]"
-            req.system_prompt += (
-                f"\nUser is quoting a message{sender_info}.\n"
-                f"Here are the information of the quoted message: Text Content: {message_str}.\n"
+            content_parts = []
+
+            # 1. 处理引用的文本
+            sender_info = (
+                f"({quote.sender_nickname}): " if quote.sender_nickname else ""
             )
+            message_str = quote.message_str or "[Empty Text]"
+            content_parts.append(f"{sender_info}{message_str}")
+
+            # 2. 处理引用的图片 (保留原有逻辑，但改变输出目标)
             image_seg = None
             if quote.chain:
                 for comp in quote.chain:
                     if isinstance(comp, Image):
                         image_seg = comp
                         break
+
             if image_seg:
                 try:
+                    # 找到可以生成图片描述的 provider
                     prov = None
                     if img_cap_prov_id:
                         prov = self.ctx.get_provider_by_id(img_cap_prov_id)
                     if prov is None:
                         prov = self.ctx.get_using_provider(event.unified_msg_origin)
+
+                    # 调用 provider 生成图片描述
                     if prov and isinstance(prov, Provider):
                         llm_resp = await prov.text_chat(
                             prompt="Please describe the image content.",
                             image_urls=[await image_seg.convert_to_file_path()],
                         )
                         if llm_resp.completion_text:
-                            req.system_prompt += (
-                                f"Image Caption: {llm_resp.completion_text}\n"
+                            # 将图片描述作为文本添加到 content_parts
+                            content_parts.append(
+                                f"[Image Caption in quoted message]: {llm_resp.completion_text}"
                             )
                     else:
-                        logger.warning("No provider found for image captioning.")
+                        logger.warning(
+                            "No provider found for image captioning in quote."
+                        )
                 except BaseException as e:
                     logger.error(f"处理引用图片失败: {e}")
+
+            # 3. 将所有部分组合成文本并添加到 extra_user_content_parts 中
+            # 确保引用内容被正确的标签包裹
+            quoted_content = "\n".join(content_parts)
+            # 确保所有内容都在<Quoted Message>标签内
+            quoted_text = f"<Quoted Message>\n{quoted_content}\n</Quoted Message>"
+
+            req.extra_user_content_parts.append(TextPart(text=quoted_text))
+
+        # 统一包裹所有系统提醒
+        if system_parts:
+            system_content = (
+                "<system_reminder>" + "\n".join(system_parts) + "</system_reminder>"
+            )
+            req.extra_user_content_parts.append(TextPart(text=system_content))

astrbot/builtin_stars/builtin_commands/commands/admin.py

@@ -71,6 +71,7 @@ class AdminCommands:
             event.set_result(MessageEventResult().message("此 SID 不在白名单内。"))
 
     async def update_dashboard(self, event: AstrMessageEvent):
+        """更新管理面板"""
         await event.send(MessageChain().message("正在尝试更新管理面板..."))
         await download_dashboard(version=f"v{VERSION}", latest=False)
         await event.send(MessageChain().message("管理面板更新完成。"))

astrbot/builtin_stars/builtin_commands/commands/help.py

@@ -0,0 +1,88 @@
+import aiohttp
+
+from astrbot.api import star
+from astrbot.api.event import AstrMessageEvent, MessageEventResult
+from astrbot.core.config.default import VERSION
+from astrbot.core.star import command_management
+from astrbot.core.utils.io import get_dashboard_version
+
+
+class HelpCommand:
+    def __init__(self, context: star.Context):
+        self.context = context
+
+    async def _query_astrbot_notice(self):
+        try:
+            async with aiohttp.ClientSession(trust_env=True) as session:
+                async with session.get(
+                    "https://astrbot.app/notice.json",
+                    timeout=2,
+                ) as resp:
+                    return (await resp.json())["notice"]
+        except BaseException:
+            return ""
+
+    async def _build_reserved_command_lines(self) -> list[str]:
+        """
+        使用实时指令配置生成内置指令清单，确保重命名/禁用后与实际生效状态保持一致。
+        """
+        try:
+            commands = await command_management.list_commands()
+        except BaseException:
+            return []
+
+        lines: list[str] = []
+        hidden_commands = {"set", "unset", "websearch"}
+
+        def walk(items: list[dict], indent: int = 0):
+            for item in items:
+                if not item.get("reserved") or not item.get("enabled"):
+                    continue
+                # 仅展示顶级指令或指令组
+                if item.get("type") == "sub_command":
+                    continue
+                if item.get("parent_signature"):
+                    continue
+
+                effective = (
+                    item.get("effective_command")
+                    or item.get("original_command")
+                    or item.get("handler_name")
+                )
+                if not effective:
+                    continue
+                if effective in hidden_commands:
+                    continue
+
+                description = item.get("description") or ""
+                desc_text = f" - {description}" if description else ""
+                indent_prefix = "  " * indent
+                lines.append(f"{indent_prefix}/{effective}{desc_text}")
+
+        walk(commands)
+        return lines
+
+    async def help(self, event: AstrMessageEvent):
+        """查看帮助"""
+        notice = ""
+        try:
+            notice = await self._query_astrbot_notice()
+        except BaseException:
+            pass
+
+        dashboard_version = await get_dashboard_version()
+        command_lines = await self._build_reserved_command_lines()
+        commands_section = (
+            "\n".join(command_lines) if command_lines else "暂无启用的内置指令"
+        )
+
+        msg_parts = [
+            f"AstrBot v{VERSION}(WebUI: {dashboard_version})",
+            "内置指令:",
+            commands_section,
+        ]
+        if notice:
+            msg_parts.append(notice)
+        msg = "\n".join(msg_parts)
+
+        event.set_result(MessageEventResult().message(msg).use_t2i(False))

astrbot/builtin_stars/builtin_commands/commands/provider.py

@@ -184,7 +184,8 @@ class ProviderCommands:
                 event.set_result(MessageEventResult().message("请输入序号。"))
                 return
             if idx2 > len(self.context.get_all_tts_providers()) or idx2 < 1:
-                event.set_result(MessageEventResult().message("无效的序号。"))
+                event.set_result(MessageEventResult().message("无效的提供商序号。"))
+                return
             provider = self.context.get_all_tts_providers()[idx2 - 1]
             id_ = provider.meta().id
             await self.context.provider_manager.set_provider(
@@ -198,7 +199,8 @@ class ProviderCommands:
                 event.set_result(MessageEventResult().message("请输入序号。"))
                 return
             if idx2 > len(self.context.get_all_stt_providers()) or idx2 < 1:
-                event.set_result(MessageEventResult().message("无效的序号。"))
+                event.set_result(MessageEventResult().message("无效的提供商序号。"))
+                return
             provider = self.context.get_all_stt_providers()[idx2 - 1]
             id_ = provider.meta().id
             await self.context.provider_manager.set_provider(
@@ -209,8 +211,8 @@ class ProviderCommands:
             event.set_result(MessageEventResult().message(f"成功切换到 {id_}。"))
         elif isinstance(idx, int):
             if idx > len(self.context.get_all_providers()) or idx < 1:
-                event.set_result(MessageEventResult().message("无效的序号。"))
-
+                event.set_result(MessageEventResult().message("无效的提供商序号。"))
+                return
             provider = self.context.get_all_providers()[idx - 1]
             id_ = provider.meta().id
             await self.context.provider_manager.set_provider(

astrbot/builtin_stars/builtin_commands/main.py

@@ -49,7 +49,7 @@ class Main(star.Star):
 
     @filter.command_group("tool")
     def tool(self):
-        pass
+        """函数工具管理"""
 
     @tool.command("ls")
     async def tool_ls(self, event: AstrMessageEvent):
@@ -73,7 +73,7 @@ class Main(star.Star):
 
     @filter.command_group("plugin")
     def plugin(self):
-        pass
+        """插件管理"""
 
     @plugin.command("ls")
     async def plugin_ls(self, event: AstrMessageEvent):
@@ -219,6 +219,7 @@ class Main(star.Star):
     @filter.permission_type(filter.PermissionType.ADMIN)
     @filter.command("dashboard_update")
     async def update_dashboard(self, event: AstrMessageEvent):
+        """更新管理面板"""
         await self.admin_c.update_dashboard(event)
 
     @filter.command("set")

astrbot/builtin_stars/python_interpreter/main.py

@@ -249,7 +249,7 @@ class Main(star.Star):
 
     @filter.command_group("pi")
     def pi(self):
-        pass
+        """代码执行器配置"""
 
     @pi.command("absdir")
     async def pi_absdir(self, event: AstrMessageEvent, path: str = ""):

astrbot/builtin_stars/reminder/main.py

@@ -179,7 +179,7 @@ class Main(star.Star):
 
     @filter.command_group("reminder")
     def reminder(self):
-        """The command group of the reminder."""
+        """待办提醒"""
 
     async def get_upcoming_reminders(self, unified_msg_origin: str):
         """Get upcoming reminders."""

astrbot/builtin_stars/web_searcher/main.py

@@ -185,6 +185,7 @@ class Main(star.Star):
 
     @filter.command("websearch")
     async def websearch(self, event: AstrMessageEvent, oper: str | None = None):
+        """网页搜索指令（已废弃）"""
         event.set_result(
             MessageEventResult().message(
                 "此指令已经被废弃，请在 WebUI 中开启或关闭网页搜索功能。",

astrbot/cli/__init__.py

@@ -1 +1 @@
-__version__ = "4.8.0"
+__version__ = "4.10.3"

astrbot/core/agent/message.py

@@ -3,7 +3,7 @@
 
 from typing import Any, ClassVar, Literal, cast
 
-from pydantic import BaseModel, GetCoreSchemaHandler, model_validator
+from pydantic import BaseModel, GetCoreSchemaHandler, model_serializer, model_validator
 from pydantic_core import core_schema
 
 
@@ -122,10 +122,12 @@ class ToolCall(BaseModel):
     extra_content: dict[str, Any] | None = None
     """Extra metadata for the tool call."""
 
-    def model_dump(self, **kwargs: Any) -> dict[str, Any]:
+    @model_serializer(mode="wrap")
+    def serialize(self, handler):
+        data = handler(self)
         if self.extra_content is None:
-            kwargs.setdefault("exclude", set()).add("extra_content")
-        return super().model_dump(**kwargs)
+            data.pop("extra_content", None)
+        return data
 
 
 class ToolCallPart(BaseModel):
@@ -167,6 +169,15 @@ class Message(BaseModel):
             )
         return self
 
+    @model_serializer(mode="wrap")
+    def serialize(self, handler):
+        data = handler(self)
+        if self.tool_calls is None:
+            data.pop("tool_calls", None)
+        if self.tool_call_id is None:
+            data.pop("tool_call_id", None)
+        return data
+
 
 class AssistantMessageSegment(Message):
     """A message segment from the assistant."""

astrbot/core/agent/response.py

@@ -1,7 +1,8 @@
 import typing as T
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 
 from astrbot.core.message.message_event_result import MessageChain
+from astrbot.core.provider.entities import TokenUsage
 
 
 class AgentResponseData(T.TypedDict):
@@ -12,3 +13,23 @@ class AgentResponseData(T.TypedDict):
 class AgentResponse:
     type: str
     data: AgentResponseData
+
+
+@dataclass
+class AgentStats:
+    token_usage: TokenUsage = field(default_factory=TokenUsage)
+    start_time: float = 0.0
+    end_time: float = 0.0
+    time_to_first_token: float = 0.0
+
+    @property
+    def duration(self) -> float:
+        return self.end_time - self.start_time
+
+    def to_dict(self) -> dict:
+        return {
+            "token_usage": self.token_usage.__dict__,
+            "start_time": self.start_time,
+            "end_time": self.end_time,
+            "time_to_first_token": self.time_to_first_token,
+        }

astrbot/core/agent/run_context.py

@@ -9,7 +9,7 @@ from .message import Message
 TContext = TypeVar("TContext", default=Any)
 
 
-@dataclass(config={"arbitrary_types_allowed": True})
+@dataclass
 class ContextWrapper(Generic[TContext]):
     """A context for running an agent, which can be used to pass additional data or state."""
 

astrbot/core/agent/runners/tool_loop_agent_runner.py

@@ -1,4 +1,5 @@
 import sys
+import time
 import traceback
 import typing as T
 
@@ -12,6 +13,7 @@ from mcp.types import (
 )
 
 from astrbot import logger
+from astrbot.core.message.components import Json
 from astrbot.core.message.message_event_result import (
     MessageChain,
 )
@@ -24,7 +26,7 @@ from astrbot.core.provider.provider import Provider
 
 from ..hooks import BaseAgentRunHooks
 from ..message import AssistantMessageSegment, Message, ToolCallMessageSegment
-from ..response import AgentResponseData
+from ..response import AgentResponseData, AgentStats
 from ..run_context import ContextWrapper, TContext
 from ..tool_executor import BaseFunctionToolExecutor
 from .base import AgentResponse, AgentState, BaseAgentRunner
@@ -69,14 +71,25 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             )
         self.run_context.messages = messages
 
+        self.stats = AgentStats()
+        self.stats.start_time = time.time()
+
     async def _iter_llm_responses(self) -> T.AsyncGenerator[LLMResponse, None]:
         """Yields chunks *and* a final LLMResponse."""
+        payload = {
+            "contexts": self.run_context.messages,  # list[Message]
+            "func_tool": self.req.func_tool,
+            "model": self.req.model,  # NOTE: in fact, this arg is None in most cases
+            "session_id": self.req.session_id,
+            "extra_user_content_parts": self.req.extra_user_content_parts,  # list[ContentPart]
+        }
+
         if self.streaming:
-            stream = self.provider.text_chat_stream(**self.req.__dict__)
+            stream = self.provider.text_chat_stream(**payload)
             async for resp in stream:  # type: ignore
                 yield resp
         else:
-            yield await self.provider.text_chat(**self.req.__dict__)
+            yield await self.provider.text_chat(**payload)
 
     @override
     async def step(self):
@@ -98,6 +111,10 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
 
         async for llm_response in self._iter_llm_responses():
             if llm_response.is_chunk:
+                # update ttft
+                if self.stats.time_to_first_token == 0:
+                    self.stats.time_to_first_token = time.time() - self.stats.start_time
+
                 if llm_response.result_chain:
                     yield AgentResponse(
                         type="streaming_delta",
@@ -121,6 +138,10 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                     )
                 continue
             llm_resp_result = llm_response
+
+            if not llm_response.is_chunk and llm_response.usage:
+                # only count the token usage of the final response for computation purpose
+                self.stats.token_usage += llm_response.usage
             break  # got final response
 
         if not llm_resp_result:
@@ -132,6 +153,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
         if llm_resp.role == "err":
             # 如果 LLM 响应错误，转换到错误状态
             self.final_llm_resp = llm_resp
+            self.stats.end_time = time.time()
             self._transition_state(AgentState.ERROR)
             yield AgentResponse(
                 type="err",
@@ -146,11 +168,12 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             # 如果没有工具调用，转换到完成状态
             self.final_llm_resp = llm_resp
             self._transition_state(AgentState.DONE)
+            self.stats.end_time = time.time()
             # record the final assistant message
             self.run_context.messages.append(
                 Message(
                     role="assistant",
-                    content=llm_resp.completion_text or "",
+                    content=llm_resp.completion_text or "*No response*",
                 ),
             )
             try:
@@ -175,22 +198,19 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
         # 如果有工具调用，还需处理工具调用
         if llm_resp.tools_call_name:
             tool_call_result_blocks = []
-            for tool_call_name in llm_resp.tools_call_name:
-                yield AgentResponse(
-                    type="tool_call",
-                    data=AgentResponseData(
-                        chain=MessageChain(type="tool_call").message(
-                            f"🔨 调用工具: {tool_call_name}"
-                        ),
-                    ),
-                )
             async for result in self._handle_function_tools(self.req, llm_resp):
                 if isinstance(result, list):
                     tool_call_result_blocks = result
                 elif isinstance(result, MessageChain):
-                    result.type = "tool_call_result"
+                    if result.type is None:
+                        # should not happen
+                        continue
+                    if result.type == "tool_direct_result":
+                        ar_type = "tool_call_result"
+                    else:
+                        ar_type = result.type
                     yield AgentResponse(
-                        type="tool_call_result",
+                        type=ar_type,
                         data=AgentResponseData(chain=result),
                     )
             # 将结果添加到上下文中
@@ -218,6 +238,25 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             async for resp in self.step():
                 yield resp
 
+        #  如果循环结束了但是 agent 还没有完成，说明是达到了 max_step
+        if not self.done():
+            logger.warning(
+                f"Agent reached max steps ({max_step}), forcing a final response."
+            )
+            # 拔掉所有工具
+            if self.req:
+                self.req.func_tool = None
+            # 注入提示词
+            self.run_context.messages.append(
+                Message(
+                    role="user",
+                    content="工具调用次数已达到上限，请停止使用工具，并根据已经收集到的信息，对你的任务和发现进行总结，然后直接回复用户。",
+                )
+            )
+            # 再执行最后一步
+            async for resp in self.step():
+                yield resp
+
     async def _handle_function_tools(
         self,
         req: ProviderRequest,
@@ -233,6 +272,19 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             llm_response.tools_call_args,
             llm_response.tools_call_ids,
         ):
+            yield MessageChain(
+                type="tool_call",
+                chain=[
+                    Json(
+                        data={
+                            "id": func_tool_id,
+                            "name": func_tool_name,
+                            "args": func_tool_args,
+                            "ts": time.time(),
+                        }
+                    )
+                ],
+            )
             try:
                 if not req.func_tool:
                     return
@@ -306,7 +358,6 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                     content=res.content[0].text,
                                 ),
                             )
-                            yield MessageChain().message(res.content[0].text)
                         elif isinstance(res.content[0], ImageContent):
                             tool_call_result_blocks.append(
                                 ToolCallMessageSegment(
@@ -328,7 +379,6 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                         content=resource.text,
                                     ),
                                 )
-                                yield MessageChain().message(resource.text)
                             elif (
                                 isinstance(resource, BlobResourceContents)
                                 and resource.mimeType
@@ -352,20 +402,34 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                         content="返回的数据类型不受支持",
                                     ),
                                 )
-                                yield MessageChain().message("返回的数据类型不受支持。")
 
                     elif resp is None:
                         # Tool 直接请求发送消息给用户
                         # 这里我们将直接结束 Agent Loop。
                         # 发送消息逻辑在 ToolExecutor 中处理了。
                         logger.warning(
-                            f"{func_tool_name} 没有没有返回值或者将结果直接发送给用户，此工具调用不会被记录到历史中。"
+                            f"{func_tool_name} 没有没有返回值或者将结果直接发送给用户。"
                         )
                         self._transition_state(AgentState.DONE)
+                        self.stats.end_time = time.time()
+                        tool_call_result_blocks.append(
+                            ToolCallMessageSegment(
+                                role="tool",
+                                tool_call_id=func_tool_id,
+                                content="*工具没有返回值或者将结果直接发送给了用户*",
+                            ),
+                        )
                     else:
                         # 不应该出现其他类型
                         logger.warning(
-                            f"Tool 返回了不支持的类型: {type(resp)}，将忽略。",
+                            f"Tool 返回了不支持的类型: {type(resp)}。",
+                        )
+                        tool_call_result_blocks.append(
+                            ToolCallMessageSegment(
+                                role="tool",
+                                tool_call_id=func_tool_id,
+                                content="*工具返回了不支持的类型，请告诉用户检查这个工具的定义和实现。*",
+                            ),
                         )
 
                 try:
@@ -387,6 +451,22 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                     ),
                 )
 
+        # yield the last tool call result
+        if tool_call_result_blocks:
+            last_tcr_content = str(tool_call_result_blocks[-1].content)
+            yield MessageChain(
+                type="tool_call_result",
+                chain=[
+                    Json(
+                        data={
+                            "id": func_tool_id,
+                            "ts": time.time(),
+                            "result": last_tcr_content,
+                        }
+                    )
+                ],
+            )
+
         # 处理函数调用响应
         if tool_call_result_blocks:
             yield tool_call_result_blocks

astrbot/core/astr_agent_context.py

@@ -6,8 +6,10 @@ from astrbot.core.platform.astr_message_event import AstrMessageEvent
 from astrbot.core.star.context import Context
 
 
-@dataclass(config={"arbitrary_types_allowed": True})
+@dataclass
 class AstrAgentContext:
+    __pydantic_config__ = {"arbitrary_types_allowed": True}
+
     context: Context
     """The star context instance"""
     event: AstrMessageEvent

astrbot/core/astr_agent_run_util.py

@@ -2,8 +2,10 @@ import traceback
 from collections.abc import AsyncGenerator
 
 from astrbot.core import logger
+from astrbot.core.agent.message import Message
 from astrbot.core.agent.runners.tool_loop_agent_runner import ToolLoopAgentRunner
 from astrbot.core.astr_agent_context import AstrAgentContext
+from astrbot.core.message.components import Json
 from astrbot.core.message.message_event_result import (
     MessageChain,
     MessageEventResult,
@@ -23,8 +25,25 @@ async def run_agent(
 ) -> AsyncGenerator[MessageChain | None, None]:
     step_idx = 0
     astr_event = agent_runner.run_context.context.event
-    while step_idx < max_step:
+    while step_idx < max_step + 1:
         step_idx += 1
+
+        if step_idx == max_step + 1:
+            logger.warning(
+                f"Agent reached max steps ({max_step}), forcing a final response."
+            )
+            if not agent_runner.done():
+                # 拔掉所有工具
+                if agent_runner.req:
+                    agent_runner.req.func_tool = None
+                # 注入提示词
+                agent_runner.run_context.messages.append(
+                    Message(
+                        role="user",
+                        content="工具调用次数已达到上限，请停止使用工具，并根据已经收集到的信息，对你的任务和发现进行总结，然后直接回复用户。",
+                    )
+                )
+
         try:
             async for resp in agent_runner.step():
                 if astr_event.is_stopped():
@@ -33,16 +52,27 @@ async def run_agent(
                     msg_chain = resp.data["chain"]
                     if msg_chain.type == "tool_direct_result":
                         # tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
-                        await astr_event.send(resp.data["chain"])
+                        await astr_event.send(msg_chain)
                         continue
+                    if astr_event.get_platform_id() == "webchat":
+                        await astr_event.send(msg_chain)
                     # 对于其他情况，暂时先不处理
                     continue
                 elif resp.type == "tool_call":
                     if agent_runner.streaming:
                         # 用来标记流式响应需要分节
                         yield MessageChain(chain=[], type="break")
-                    if show_tool_use:
+
+                    if astr_event.get_platform_name() == "webchat":
                         await astr_event.send(resp.data["chain"])
+                    elif show_tool_use:
+                        json_comp = resp.data["chain"].chain[0]
+                        if isinstance(json_comp, Json):
+                            m = f"🔨 调用工具: {json_comp.data.get('name')}"
+                        else:
+                            m = "🔨 调用工具..."
+                        chain = MessageChain(type="tool_call").message(m)
+                        await astr_event.send(chain)
                     continue
 
                 if stream_to_general and resp.type == "streaming_delta":
@@ -69,6 +99,15 @@ async def run_agent(
                         continue
                     yield resp.data["chain"]  # MessageChain
             if agent_runner.done():
+                # send agent stats to webchat
+                if astr_event.get_platform_name() == "webchat":
+                    await astr_event.send(
+                        MessageChain(
+                            type="agent_stats",
+                            chain=[Json(data=agent_runner.stats.to_dict())],
+                        )
+                    )
+
                 break
 
         except Exception as e:

astrbot/core/astr_agent_tool_exec.py

@@ -209,12 +209,42 @@ async def call_local_llm_tool(
         else:
             raise ValueError(f"未知的方法名: {method_name}")
     except ValueError as e:
-        logger.error(f"调用本地 LLM 工具时出错: {e}", exc_info=True)
-    except TypeError:
-        logger.error("处理函数参数不匹配，请检查 handler 的定义。", exc_info=True)
+        raise Exception(f"Tool execution ValueError: {e}") from e
+    except TypeError as e:
+        # 获取函数的签名（包括类型），除了第一个 event/context 参数。
+        try:
+            sig = inspect.signature(handler)
+            params = list(sig.parameters.values())
+            # 跳过第一个参数（event 或 context）
+            if params:
+                params = params[1:]
+
+            param_strs = []
+            for param in params:
+                param_str = param.name
+                if param.annotation != inspect.Parameter.empty:
+                    # 获取类型注解的字符串表示
+                    if isinstance(param.annotation, type):
+                        type_str = param.annotation.__name__
+                    else:
+                        type_str = str(param.annotation)
+                    param_str += f": {type_str}"
+                if param.default != inspect.Parameter.empty:
+                    param_str += f" = {param.default!r}"
+                param_strs.append(param_str)
+
+            handler_param_str = (
+                ", ".join(param_strs) if param_strs else "(no additional parameters)"
+            )
+        except Exception:
+            handler_param_str = "(unable to inspect signature)"
+
+        raise Exception(
+            f"Tool handler parameter mismatch, please check the handler definition. Handler parameters: {handler_param_str}"
+        ) from e
     except Exception as e:
         trace_ = traceback.format_exc()
-        logger.error(f"调用本地 LLM 工具时出错: {e}\n{trace_}")
+        raise Exception(f"Tool execution error: {e}. Traceback: {trace_}") from e
 
     if not ready_to_call:
         return

astrbot/core/backup/__init__.py

@@ -0,0 +1,26 @@
+"""AstrBot 备份与恢复模块
+
+提供数据导出和导入功能，支持用户在服务器迁移时一键备份和恢复所有数据。
+"""
+
+# 从 constants 模块导入共享常量
+from .constants import (
+    BACKUP_MANIFEST_VERSION,
+    KB_METADATA_MODELS,
+    MAIN_DB_MODELS,
+    get_backup_directories,
+)
+
+# 导入导出器和导入器
+from .exporter import AstrBotExporter
+from .importer import AstrBotImporter, ImportPreCheckResult
+
+__all__ = [
+    "AstrBotExporter",
+    "AstrBotImporter",
+    "ImportPreCheckResult",
+    "MAIN_DB_MODELS",
+    "KB_METADATA_MODELS",
+    "get_backup_directories",
+    "BACKUP_MANIFEST_VERSION",
+]

astrbot/core/backup/constants.py

@@ -0,0 +1,77 @@
+"""AstrBot 备份模块共享常量
+
+此文件定义了导出器和导入器共享的常量，确保两端配置一致。
+"""
+
+from sqlmodel import SQLModel
+
+from astrbot.core.db.po import (
+    Attachment,
+    CommandConfig,
+    CommandConflict,
+    ConversationV2,
+    Persona,
+    PlatformMessageHistory,
+    PlatformSession,
+    PlatformStat,
+    Preference,
+)
+from astrbot.core.knowledge_base.models import (
+    KBDocument,
+    KBMedia,
+    KnowledgeBase,
+)
+from astrbot.core.utils.astrbot_path import (
+    get_astrbot_config_path,
+    get_astrbot_plugin_data_path,
+    get_astrbot_plugin_path,
+    get_astrbot_t2i_templates_path,
+    get_astrbot_temp_path,
+    get_astrbot_webchat_path,
+)
+
+# ============================================================
+# 共享常量 - 确保导出和导入端配置一致
+# ============================================================
+
+# 主数据库模型类映射
+MAIN_DB_MODELS: dict[str, type[SQLModel]] = {
+    "platform_stats": PlatformStat,
+    "conversations": ConversationV2,
+    "personas": Persona,
+    "preferences": Preference,
+    "platform_message_history": PlatformMessageHistory,
+    "platform_sessions": PlatformSession,
+    "attachments": Attachment,
+    "command_configs": CommandConfig,
+    "command_conflicts": CommandConflict,
+}
+
+# 知识库元数据模型类映射
+KB_METADATA_MODELS: dict[str, type[SQLModel]] = {
+    "knowledge_bases": KnowledgeBase,
+    "kb_documents": KBDocument,
+    "kb_media": KBMedia,
+}
+
+
+def get_backup_directories() -> dict[str, str]:
+    """获取需要备份的目录列表
+
+    使用 astrbot_path 模块动态获取路径，支持通过环境变量 ASTRBOT_ROOT 自定义根目录。
+
+    Returns:
+        dict: 键为备份文件中的目录名称，值为目录的绝对路径
+    """
+    return {
+        "plugins": get_astrbot_plugin_path(),  # 插件本体
+        "plugin_data": get_astrbot_plugin_data_path(),  # 插件数据
+        "config": get_astrbot_config_path(),  # 配置目录
+        "t2i_templates": get_astrbot_t2i_templates_path(),  # T2I 模板
+        "webchat": get_astrbot_webchat_path(),  # WebChat 数据
+        "temp": get_astrbot_temp_path(),  # 临时文件
+    }
+
+
+# 备份清单版本号
+BACKUP_MANIFEST_VERSION = "1.1"

astrbot/core/backup/exporter.py

@@ -0,0 +1,476 @@
+"""AstrBot 数据导出器
+
+负责将所有数据导出为 ZIP 备份文件。
+导出格式为 JSON，这是数据库无关的方案，支持未来向 MySQL/PostgreSQL 迁移。
+"""
+
+import hashlib
+import json
+import os
+import zipfile
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+from sqlalchemy import select
+
+from astrbot.core import logger
+from astrbot.core.config.default import VERSION
+from astrbot.core.db import BaseDatabase
+from astrbot.core.utils.astrbot_path import (
+    get_astrbot_backups_path,
+    get_astrbot_data_path,
+)
+
+# 从共享常量模块导入
+from .constants import (
+    BACKUP_MANIFEST_VERSION,
+    KB_METADATA_MODELS,
+    MAIN_DB_MODELS,
+    get_backup_directories,
+)
+
+if TYPE_CHECKING:
+    from astrbot.core.knowledge_base.kb_mgr import KnowledgeBaseManager
+
+CMD_CONFIG_FILE_PATH = os.path.join(get_astrbot_data_path(), "cmd_config.json")
+
+
+class AstrBotExporter:
+    """AstrBot 数据导出器
+
+    导出内容：
+    - 主数据库所有表（data/data_v4.db）
+    - 知识库元数据（data/knowledge_base/kb.db）
+    - 每个知识库的向量文档数据
+    - 配置文件（data/cmd_config.json）
+    - 附件文件
+    - 知识库多媒体文件
+    - 插件目录（data/plugins）
+    - 插件数据目录（data/plugin_data）
+    - 配置目录（data/config）
+    - T2I 模板目录（data/t2i_templates）
+    - WebChat 数据目录（data/webchat）
+    - 临时文件目录（data/temp）
+    """
+
+    def __init__(
+        self,
+        main_db: BaseDatabase,
+        kb_manager: "KnowledgeBaseManager | None" = None,
+        config_path: str = CMD_CONFIG_FILE_PATH,
+    ):
+        self.main_db = main_db
+        self.kb_manager = kb_manager
+        self.config_path = config_path
+        self._checksums: dict[str, str] = {}
+
+    async def export_all(
+        self,
+        output_dir: str | None = None,
+        progress_callback: Any | None = None,
+    ) -> str:
+        """导出所有数据到 ZIP 文件
+
+        Args:
+            output_dir: 输出目录
+            progress_callback: 进度回调函数，接收参数 (stage, current, total, message)
+
+        Returns:
+            str: 生成的 ZIP 文件路径
+        """
+        if output_dir is None:
+            output_dir = get_astrbot_backups_path()
+
+        # 确保输出目录存在
+        Path(output_dir).mkdir(parents=True, exist_ok=True)
+
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        zip_filename = f"astrbot_backup_{timestamp}.zip"
+        zip_path = os.path.join(output_dir, zip_filename)
+
+        logger.info(f"开始导出备份到 {zip_path}")
+
+        try:
+            with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_DEFLATED) as zf:
+                # 1. 导出主数据库
+                if progress_callback:
+                    await progress_callback("main_db", 0, 100, "正在导出主数据库...")
+                main_data = await self._export_main_database()
+                main_db_json = json.dumps(
+                    main_data, ensure_ascii=False, indent=2, default=str
+                )
+                zf.writestr("databases/main_db.json", main_db_json)
+                self._add_checksum("databases/main_db.json", main_db_json)
+                if progress_callback:
+                    await progress_callback("main_db", 100, 100, "主数据库导出完成")
+
+                # 2. 导出知识库数据
+                kb_meta_data: dict[str, Any] = {
+                    "knowledge_bases": [],
+                    "kb_documents": [],
+                    "kb_media": [],
+                }
+                if self.kb_manager:
+                    if progress_callback:
+                        await progress_callback(
+                            "kb_metadata", 0, 100, "正在导出知识库元数据..."
+                        )
+                    kb_meta_data = await self._export_kb_metadata()
+                    kb_meta_json = json.dumps(
+                        kb_meta_data, ensure_ascii=False, indent=2, default=str
+                    )
+                    zf.writestr("databases/kb_metadata.json", kb_meta_json)
+                    self._add_checksum("databases/kb_metadata.json", kb_meta_json)
+                    if progress_callback:
+                        await progress_callback(
+                            "kb_metadata", 100, 100, "知识库元数据导出完成"
+                        )
+
+                    # 导出每个知识库的文档数据
+                    kb_insts = self.kb_manager.kb_insts
+                    total_kbs = len(kb_insts)
+                    for idx, (kb_id, kb_helper) in enumerate(kb_insts.items()):
+                        if progress_callback:
+                            await progress_callback(
+                                "kb_documents",
+                                idx,
+                                total_kbs,
+                                f"正在导出知识库 {kb_helper.kb.kb_name} 的文档数据...",
+                            )
+                        doc_data = await self._export_kb_documents(kb_helper)
+                        doc_json = json.dumps(
+                            doc_data, ensure_ascii=False, indent=2, default=str
+                        )
+                        doc_path = f"databases/kb_{kb_id}/documents.json"
+                        zf.writestr(doc_path, doc_json)
+                        self._add_checksum(doc_path, doc_json)
+
+                        # 导出 FAISS 索引文件
+                        await self._export_faiss_index(zf, kb_helper, kb_id)
+
+                        # 导出知识库多媒体文件
+                        await self._export_kb_media_files(zf, kb_helper, kb_id)
+
+                    if progress_callback:
+                        await progress_callback(
+                            "kb_documents", total_kbs, total_kbs, "知识库文档导出完成"
+                        )
+
+                # 3. 导出配置文件
+                if progress_callback:
+                    await progress_callback("config", 0, 100, "正在导出配置文件...")
+                if os.path.exists(self.config_path):
+                    with open(self.config_path, encoding="utf-8") as f:
+                        config_content = f.read()
+                    zf.writestr("config/cmd_config.json", config_content)
+                    self._add_checksum("config/cmd_config.json", config_content)
+                if progress_callback:
+                    await progress_callback("config", 100, 100, "配置文件导出完成")
+
+                # 4. 导出附件文件
+                if progress_callback:
+                    await progress_callback("attachments", 0, 100, "正在导出附件...")
+                await self._export_attachments(zf, main_data.get("attachments", []))
+                if progress_callback:
+                    await progress_callback("attachments", 100, 100, "附件导出完成")
+
+                # 5. 导出插件和其他目录
+                if progress_callback:
+                    await progress_callback(
+                        "directories", 0, 100, "正在导出插件和数据目录..."
+                    )
+                dir_stats = await self._export_directories(zf)
+                if progress_callback:
+                    await progress_callback("directories", 100, 100, "目录导出完成")
+
+                # 6. 生成 manifest
+                if progress_callback:
+                    await progress_callback("manifest", 0, 100, "正在生成清单...")
+                manifest = self._generate_manifest(main_data, kb_meta_data, dir_stats)
+                manifest_json = json.dumps(manifest, ensure_ascii=False, indent=2)
+                zf.writestr("manifest.json", manifest_json)
+                if progress_callback:
+                    await progress_callback("manifest", 100, 100, "清单生成完成")
+
+            logger.info(f"备份导出完成: {zip_path}")
+            return zip_path
+
+        except Exception as e:
+            logger.error(f"备份导出失败: {e}")
+            # 清理失败的文件
+            if os.path.exists(zip_path):
+                os.remove(zip_path)
+            raise
+
+    async def _export_main_database(self) -> dict[str, list[dict]]:
+        """导出主数据库所有表"""
+        export_data: dict[str, list[dict]] = {}
+
+        async with self.main_db.get_db() as session:
+            for table_name, model_class in MAIN_DB_MODELS.items():
+                try:
+                    result = await session.execute(select(model_class))
+                    records = result.scalars().all()
+                    export_data[table_name] = [
+                        self._model_to_dict(record) for record in records
+                    ]
+                    logger.debug(
+                        f"导出表 {table_name}: {len(export_data[table_name])} 条记录"
+                    )
+                except Exception as e:
+                    logger.warning(f"导出表 {table_name} 失败: {e}")
+                    export_data[table_name] = []
+
+        return export_data
+
+    async def _export_kb_metadata(self) -> dict[str, list[dict]]:
+        """导出知识库元数据库"""
+        if not self.kb_manager:
+            return {"knowledge_bases": [], "kb_documents": [], "kb_media": []}
+
+        export_data: dict[str, list[dict]] = {}
+
+        async with self.kb_manager.kb_db.get_db() as session:
+            for table_name, model_class in KB_METADATA_MODELS.items():
+                try:
+                    result = await session.execute(select(model_class))
+                    records = result.scalars().all()
+                    export_data[table_name] = [
+                        self._model_to_dict(record) for record in records
+                    ]
+                    logger.debug(
+                        f"导出知识库表 {table_name}: {len(export_data[table_name])} 条记录"
+                    )
+                except Exception as e:
+                    logger.warning(f"导出知识库表 {table_name} 失败: {e}")
+                    export_data[table_name] = []
+
+        return export_data
+
+    async def _export_kb_documents(self, kb_helper: Any) -> dict[str, Any]:
+        """导出知识库的文档块数据"""
+        try:
+            from astrbot.core.db.vec_db.faiss_impl.vec_db import FaissVecDB
+
+            vec_db: FaissVecDB = kb_helper.vec_db
+            if not vec_db or not vec_db.document_storage:
+                return {"documents": []}
+
+            # 获取所有文档
+            docs = await vec_db.document_storage.get_documents(
+                metadata_filters={},
+                offset=0,
+                limit=None,  # 获取全部
+            )
+
+            return {"documents": docs}
+        except Exception as e:
+            logger.warning(f"导出知识库文档失败: {e}")
+            return {"documents": []}
+
+    async def _export_faiss_index(
+        self,
+        zf: zipfile.ZipFile,
+        kb_helper: Any,
+        kb_id: str,
+    ) -> None:
+        """导出 FAISS 索引文件"""
+        try:
+            index_path = kb_helper.kb_dir / "index.faiss"
+            if index_path.exists():
+                archive_path = f"databases/kb_{kb_id}/index.faiss"
+                zf.write(str(index_path), archive_path)
+                logger.debug(f"导出 FAISS 索引: {archive_path}")
+        except Exception as e:
+            logger.warning(f"导出 FAISS 索引失败: {e}")
+
+    async def _export_kb_media_files(
+        self, zf: zipfile.ZipFile, kb_helper: Any, kb_id: str
+    ) -> None:
+        """导出知识库的多媒体文件"""
+        try:
+            media_dir = kb_helper.kb_medias_dir
+            if not media_dir.exists():
+                return
+
+            for root, _, files in os.walk(media_dir):
+                for file in files:
+                    file_path = Path(root) / file
+                    # 计算相对路径
+                    rel_path = file_path.relative_to(kb_helper.kb_dir)
+                    archive_path = f"files/kb_media/{kb_id}/{rel_path}"
+                    zf.write(str(file_path), archive_path)
+        except Exception as e:
+            logger.warning(f"导出知识库媒体文件失败: {e}")
+
+    async def _export_directories(
+        self, zf: zipfile.ZipFile
+    ) -> dict[str, dict[str, int]]:
+        """导出插件和其他数据目录
+
+        Returns:
+            dict: 每个目录的统计信息 {dir_name: {"files": count, "size": bytes}}
+        """
+        stats: dict[str, dict[str, int]] = {}
+        backup_directories = get_backup_directories()
+
+        for dir_name, dir_path in backup_directories.items():
+            full_path = Path(dir_path)
+            if not full_path.exists():
+                logger.debug(f"目录不存在，跳过: {full_path}")
+                continue
+
+            file_count = 0
+            total_size = 0
+
+            try:
+                for root, dirs, files in os.walk(full_path):
+                    # 跳过 __pycache__ 目录
+                    dirs[:] = [d for d in dirs if d != "__pycache__"]
+
+                    for file in files:
+                        # 跳过 .pyc 文件
+                        if file.endswith(".pyc"):
+                            continue
+
+                        file_path = Path(root) / file
+                        try:
+                            # 计算相对路径
+                            rel_path = file_path.relative_to(full_path)
+                            archive_path = f"directories/{dir_name}/{rel_path}"
+                            zf.write(str(file_path), archive_path)
+                            file_count += 1
+                            total_size += file_path.stat().st_size
+                        except Exception as e:
+                            logger.warning(f"导出文件 {file_path} 失败: {e}")
+
+                stats[dir_name] = {"files": file_count, "size": total_size}
+                logger.debug(
+                    f"导出目录 {dir_name}: {file_count} 个文件, {total_size} 字节"
+                )
+            except Exception as e:
+                logger.warning(f"导出目录 {dir_path} 失败: {e}")
+                stats[dir_name] = {"files": 0, "size": 0}
+
+        return stats
+
+    async def _export_attachments(
+        self, zf: zipfile.ZipFile, attachments: list[dict]
+    ) -> None:
+        """导出附件文件"""
+        for attachment in attachments:
+            try:
+                file_path = attachment.get("path", "")
+                if file_path and os.path.exists(file_path):
+                    # 使用 attachment_id 作为文件名
+                    attachment_id = attachment.get("attachment_id", "")
+                    ext = os.path.splitext(file_path)[1]
+                    archive_path = f"files/attachments/{attachment_id}{ext}"
+                    zf.write(file_path, archive_path)
+            except Exception as e:
+                logger.warning(f"导出附件失败: {e}")
+
+    def _model_to_dict(self, record: Any) -> dict:
+        """将 SQLModel 实例转换为字典
+
+        这是数据库无关的序列化方式，支持未来迁移到其他数据库。
+        """
+        # 使用 SQLModel 内置的 model_dump 方法（如果可用）
+        if hasattr(record, "model_dump"):
+            data = record.model_dump(mode="python")
+            # 处理 datetime 类型
+            for key, value in data.items():
+                if isinstance(value, datetime):
+                    data[key] = value.isoformat()
+            return data
+
+        # 回退到手动提取
+        data = {}
+        # 使用 inspect 获取表信息
+        from sqlalchemy import inspect as sa_inspect
+
+        mapper = sa_inspect(record.__class__)
+        for column in mapper.columns:
+            value = getattr(record, column.name)
+            # 处理 datetime 类型 - 统一转为 ISO 格式字符串
+            if isinstance(value, datetime):
+                value = value.isoformat()
+            data[column.name] = value
+        return data
+
+    def _add_checksum(self, path: str, content: str | bytes) -> None:
+        """计算并添加文件校验和"""
+        if isinstance(content, str):
+            content = content.encode("utf-8")
+        checksum = hashlib.sha256(content).hexdigest()
+        self._checksums[path] = f"sha256:{checksum}"
+
+    def _generate_manifest(
+        self,
+        main_data: dict[str, list[dict]],
+        kb_meta_data: dict[str, list[dict]],
+        dir_stats: dict[str, dict[str, int]] | None = None,
+    ) -> dict:
+        """生成备份清单"""
+        if dir_stats is None:
+            dir_stats = {}
+        # 收集知识库 ID
+        kb_document_tables = {}
+        if self.kb_manager:
+            for kb_id in self.kb_manager.kb_insts.keys():
+                kb_document_tables[kb_id] = "documents"
+
+        # 收集附件文件列表
+        attachment_files = []
+        for attachment in main_data.get("attachments", []):
+            attachment_id = attachment.get("attachment_id", "")
+            path = attachment.get("path", "")
+            if attachment_id and path:
+                ext = os.path.splitext(path)[1]
+                attachment_files.append(f"{attachment_id}{ext}")
+
+        # 收集知识库媒体文件
+        kb_media_files: dict[str, list[str]] = {}
+        if self.kb_manager:
+            for kb_id, kb_helper in self.kb_manager.kb_insts.items():
+                media_files: list[str] = []
+                media_dir = kb_helper.kb_medias_dir
+                if media_dir.exists():
+                    for root, _, files in os.walk(media_dir):
+                        for file in files:
+                            media_files.append(file)
+                if media_files:
+                    kb_media_files[kb_id] = media_files
+
+        manifest = {
+            "version": BACKUP_MANIFEST_VERSION,
+            "astrbot_version": VERSION,
+            "exported_at": datetime.now(timezone.utc).isoformat(),
+            "schema_version": {
+                "main_db": "v4",
+                "kb_db": "v1",
+            },
+            "tables": {
+                "main_db": list(main_data.keys()),
+                "kb_metadata": list(kb_meta_data.keys()),
+                "kb_documents": kb_document_tables,
+            },
+            "files": {
+                "attachments": attachment_files,
+                "kb_media": kb_media_files,
+            },
+            "directories": list(dir_stats.keys()),
+            "checksums": self._checksums,
+            "statistics": {
+                "main_db": {
+                    table: len(records) for table, records in main_data.items()
+                },
+                "kb_metadata": {
+                    table: len(records) for table, records in kb_meta_data.items()
+                },
+                "directories": dir_stats,
+            },
+        }
+
+        return manifest

astrbot/core/backup/importer.py

@@ -0,0 +1,761 @@
+"""AstrBot 数据导入器
+
+负责从 ZIP 备份文件恢复所有数据。
+导入时进行版本校验：
+- 主版本（前两位）不同时直接拒绝导入
+- 小版本（第三位）不同时提示警告，用户可选择强制导入
+- 版本匹配时也需要用户确认
+"""
+
+import json
+import os
+import shutil
+import zipfile
+from dataclasses import dataclass, field
+from datetime import datetime
+from pathlib import Path
+from typing import TYPE_CHECKING, Any
+
+from sqlalchemy import delete
+
+from astrbot.core import logger
+from astrbot.core.config.default import VERSION
+from astrbot.core.db import BaseDatabase
+from astrbot.core.utils.astrbot_path import (
+    get_astrbot_data_path,
+    get_astrbot_knowledge_base_path,
+)
+from astrbot.core.utils.version_comparator import VersionComparator
+
+# 从共享常量模块导入
+from .constants import (
+    KB_METADATA_MODELS,
+    MAIN_DB_MODELS,
+    get_backup_directories,
+)
+
+if TYPE_CHECKING:
+    from astrbot.core.knowledge_base.kb_mgr import KnowledgeBaseManager
+
+
+def _get_major_version(version_str: str) -> str:
+    """提取版本的主版本部分（前两位）
+
+    Args:
+        version_str: 版本字符串，如 "4.9.1", "4.10.0-beta"
+
+    Returns:
+        主版本字符串，如 "4.9", "4.10"
+    """
+    if not version_str:
+        return "0.0"
+    # 移除 v 前缀和预发布标签
+    version = version_str.lower().replace("v", "").split("-")[0].split("+")[0]
+    parts = [p for p in version.split(".") if p]  # 过滤空字符串
+    if len(parts) >= 2:
+        return f"{parts[0]}.{parts[1]}"
+    elif len(parts) == 1 and parts[0]:
+        return f"{parts[0]}.0"
+    return "0.0"
+
+
+CMD_CONFIG_FILE_PATH = os.path.join(get_astrbot_data_path(), "cmd_config.json")
+KB_PATH = get_astrbot_knowledge_base_path()
+
+
+@dataclass
+class ImportPreCheckResult:
+    """导入预检查结果
+
+    用于在实际导入前检查备份文件的版本兼容性，
+    并返回确认信息让用户决定是否继续导入。
+    """
+
+    # 检查是否通过（文件有效且版本可导入）
+    valid: bool = False
+    # 是否可以导入（版本兼容）
+    can_import: bool = False
+    # 版本状态: match（完全匹配）, minor_diff（小版本差异）, major_diff（主版本不同，拒绝）
+    version_status: str = ""
+    # 备份文件中的 AstrBot 版本
+    backup_version: str = ""
+    # 当前运行的 AstrBot 版本
+    current_version: str = VERSION
+    # 备份创建时间
+    backup_time: str = ""
+    # 确认消息（显示给用户）
+    confirm_message: str = ""
+    # 警告消息列表
+    warnings: list[str] = field(default_factory=list)
+    # 错误消息（如果检查失败）
+    error: str = ""
+    # 备份包含的内容摘要
+    backup_summary: dict = field(default_factory=dict)
+
+    def to_dict(self) -> dict:
+        return {
+            "valid": self.valid,
+            "can_import": self.can_import,
+            "version_status": self.version_status,
+            "backup_version": self.backup_version,
+            "current_version": self.current_version,
+            "backup_time": self.backup_time,
+            "confirm_message": self.confirm_message,
+            "warnings": self.warnings,
+            "error": self.error,
+            "backup_summary": self.backup_summary,
+        }
+
+
+class ImportResult:
+    """导入结果"""
+
+    def __init__(self):
+        self.success = True
+        self.imported_tables: dict[str, int] = {}
+        self.imported_files: dict[str, int] = {}
+        self.imported_directories: dict[str, int] = {}
+        self.warnings: list[str] = []
+        self.errors: list[str] = []
+
+    def add_warning(self, msg: str) -> None:
+        self.warnings.append(msg)
+        logger.warning(msg)
+
+    def add_error(self, msg: str) -> None:
+        self.errors.append(msg)
+        self.success = False
+        logger.error(msg)
+
+    def to_dict(self) -> dict:
+        return {
+            "success": self.success,
+            "imported_tables": self.imported_tables,
+            "imported_files": self.imported_files,
+            "imported_directories": self.imported_directories,
+            "warnings": self.warnings,
+            "errors": self.errors,
+        }
+
+
+class AstrBotImporter:
+    """AstrBot 数据导入器
+
+    导入备份文件中的所有数据，包括：
+    - 主数据库所有表
+    - 知识库元数据和文档
+    - 配置文件
+    - 附件文件
+    - 知识库多媒体文件
+    - 插件目录（data/plugins）
+    - 插件数据目录（data/plugin_data）
+    - 配置目录（data/config）
+    - T2I 模板目录（data/t2i_templates）
+    - WebChat 数据目录（data/webchat）
+    - 临时文件目录（data/temp）
+    """
+
+    def __init__(
+        self,
+        main_db: BaseDatabase,
+        kb_manager: "KnowledgeBaseManager | None" = None,
+        config_path: str = CMD_CONFIG_FILE_PATH,
+        kb_root_dir: str = KB_PATH,
+    ):
+        self.main_db = main_db
+        self.kb_manager = kb_manager
+        self.config_path = config_path
+        self.kb_root_dir = kb_root_dir
+
+    def pre_check(self, zip_path: str) -> ImportPreCheckResult:
+        """预检查备份文件
+
+        在实际导入前检查备份文件的有效性和版本兼容性。
+        返回检查结果供前端显示确认对话框。
+
+        Args:
+            zip_path: ZIP 备份文件路径
+
+        Returns:
+            ImportPreCheckResult: 预检查结果
+        """
+        result = ImportPreCheckResult()
+        result.current_version = VERSION
+
+        if not os.path.exists(zip_path):
+            result.error = f"备份文件不存在: {zip_path}"
+            return result
+
+        try:
+            with zipfile.ZipFile(zip_path, "r") as zf:
+                # 读取 manifest
+                try:
+                    manifest_data = zf.read("manifest.json")
+                    manifest = json.loads(manifest_data)
+                except KeyError:
+                    result.error = "备份文件缺少 manifest.json，不是有效的 AstrBot 备份"
+                    return result
+                except json.JSONDecodeError as e:
+                    result.error = f"manifest.json 格式错误: {e}"
+                    return result
+
+                # 提取基本信息
+                result.backup_version = manifest.get("astrbot_version", "未知")
+                result.backup_time = manifest.get("exported_at", "未知")
+                result.valid = True
+
+                # 构建备份摘要
+                result.backup_summary = {
+                    "tables": list(manifest.get("tables", {}).keys()),
+                    "has_knowledge_bases": manifest.get("has_knowledge_bases", False),
+                    "has_config": manifest.get("has_config", False),
+                    "directories": manifest.get("directories", []),
+                }
+
+                # 检查版本兼容性
+                version_check = self._check_version_compatibility(result.backup_version)
+                result.version_status = version_check["status"]
+                result.can_import = version_check["can_import"]
+
+                # 版本信息由前端根据 version_status 和 i18n 生成显示
+                # 不再将版本消息添加到 warnings 列表中，避免中文硬编码
+                # warnings 列表保留用于其他非版本相关的警告
+
+                return result
+
+        except zipfile.BadZipFile:
+            result.error = "无效的 ZIP 文件"
+            return result
+        except Exception as e:
+            result.error = f"检查备份文件失败: {e}"
+            return result
+
+    def _check_version_compatibility(self, backup_version: str) -> dict:
+        """检查版本兼容性
+
+        规则：
+        - 主版本（前两位，如 4.9）必须一致，否则拒绝
+        - 小版本（第三位，如 4.9.1 vs 4.9.2）不同时，警告但允许导入
+
+        Returns:
+            dict: {status, can_import, message}
+        """
+        if not backup_version:
+            return {
+                "status": "major_diff",
+                "can_import": False,
+                "message": "备份文件缺少版本信息",
+            }
+
+        # 提取主版本（前两位）进行比较
+        backup_major = _get_major_version(backup_version)
+        current_major = _get_major_version(VERSION)
+
+        # 比较主版本
+        if VersionComparator.compare_version(backup_major, current_major) != 0:
+            return {
+                "status": "major_diff",
+                "can_import": False,
+                "message": (
+                    f"主版本不兼容: 备份版本 {backup_version}, 当前版本 {VERSION}。"
+                    f"跨主版本导入可能导致数据损坏，请使用相同主版本的 AstrBot。"
+                ),
+            }
+
+        # 比较完整版本
+        version_cmp = VersionComparator.compare_version(backup_version, VERSION)
+        if version_cmp != 0:
+            return {
+                "status": "minor_diff",
+                "can_import": True,
+                "message": (
+                    f"小版本差异: 备份版本 {backup_version}, 当前版本 {VERSION}。"
+                ),
+            }
+
+        return {
+            "status": "match",
+            "can_import": True,
+            "message": "版本匹配",
+        }
+
+    async def import_all(
+        self,
+        zip_path: str,
+        mode: str = "replace",  # "replace" 清空后导入
+        progress_callback: Any | None = None,
+    ) -> ImportResult:
+        """从 ZIP 文件导入所有数据
+
+        Args:
+            zip_path: ZIP 备份文件路径
+            mode: 导入模式，目前仅支持 "replace"（清空后导入）
+            progress_callback: 进度回调函数，接收参数 (stage, current, total, message)
+
+        Returns:
+            ImportResult: 导入结果
+        """
+        result = ImportResult()
+
+        if not os.path.exists(zip_path):
+            result.add_error(f"备份文件不存在: {zip_path}")
+            return result
+
+        logger.info(f"开始从 {zip_path} 导入备份")
+
+        try:
+            with zipfile.ZipFile(zip_path, "r") as zf:
+                # 1. 读取并验证 manifest
+                if progress_callback:
+                    await progress_callback("validate", 0, 100, "正在验证备份文件...")
+
+                try:
+                    manifest_data = zf.read("manifest.json")
+                    manifest = json.loads(manifest_data)
+                except KeyError:
+                    result.add_error("备份文件缺少 manifest.json")
+                    return result
+                except json.JSONDecodeError as e:
+                    result.add_error(f"manifest.json 格式错误: {e}")
+                    return result
+
+                # 版本校验
+                try:
+                    self._validate_version(manifest)
+                except ValueError as e:
+                    result.add_error(str(e))
+                    return result
+
+                if progress_callback:
+                    await progress_callback("validate", 100, 100, "验证完成")
+
+                # 2. 导入主数据库
+                if progress_callback:
+                    await progress_callback("main_db", 0, 100, "正在导入主数据库...")
+
+                try:
+                    main_data_content = zf.read("databases/main_db.json")
+                    main_data = json.loads(main_data_content)
+
+                    if mode == "replace":
+                        await self._clear_main_db()
+
+                    imported = await self._import_main_database(main_data)
+                    result.imported_tables.update(imported)
+                except Exception as e:
+                    result.add_error(f"导入主数据库失败: {e}")
+                    return result
+
+                if progress_callback:
+                    await progress_callback("main_db", 100, 100, "主数据库导入完成")
+
+                # 3. 导入知识库
+                if self.kb_manager and "databases/kb_metadata.json" in zf.namelist():
+                    if progress_callback:
+                        await progress_callback("kb", 0, 100, "正在导入知识库...")
+
+                    try:
+                        kb_meta_content = zf.read("databases/kb_metadata.json")
+                        kb_meta_data = json.loads(kb_meta_content)
+
+                        if mode == "replace":
+                            await self._clear_kb_data()
+
+                        await self._import_knowledge_bases(zf, kb_meta_data, result)
+                    except Exception as e:
+                        result.add_warning(f"导入知识库失败: {e}")
+
+                    if progress_callback:
+                        await progress_callback("kb", 100, 100, "知识库导入完成")
+
+                # 4. 导入配置文件
+                if progress_callback:
+                    await progress_callback("config", 0, 100, "正在导入配置文件...")
+
+                if "config/cmd_config.json" in zf.namelist():
+                    try:
+                        config_content = zf.read("config/cmd_config.json")
+                        # 备份现有配置
+                        if os.path.exists(self.config_path):
+                            backup_path = f"{self.config_path}.bak"
+                            shutil.copy2(self.config_path, backup_path)
+
+                        with open(self.config_path, "wb") as f:
+                            f.write(config_content)
+                        result.imported_files["config"] = 1
+                    except Exception as e:
+                        result.add_warning(f"导入配置文件失败: {e}")
+
+                if progress_callback:
+                    await progress_callback("config", 100, 100, "配置文件导入完成")
+
+                # 5. 导入附件文件
+                if progress_callback:
+                    await progress_callback("attachments", 0, 100, "正在导入附件...")
+
+                attachment_count = await self._import_attachments(
+                    zf, main_data.get("attachments", [])
+                )
+                result.imported_files["attachments"] = attachment_count
+
+                if progress_callback:
+                    await progress_callback("attachments", 100, 100, "附件导入完成")
+
+                # 6. 导入插件和其他目录
+                if progress_callback:
+                    await progress_callback(
+                        "directories", 0, 100, "正在导入插件和数据目录..."
+                    )
+
+                dir_stats = await self._import_directories(zf, manifest, result)
+                result.imported_directories = dir_stats
+
+                if progress_callback:
+                    await progress_callback("directories", 100, 100, "目录导入完成")
+
+            logger.info(f"备份导入完成: {result.to_dict()}")
+            return result
+
+        except zipfile.BadZipFile:
+            result.add_error("无效的 ZIP 文件")
+            return result
+        except Exception as e:
+            result.add_error(f"导入失败: {e}")
+            return result
+
+    def _validate_version(self, manifest: dict) -> None:
+        """验证版本兼容性 - 仅允许相同主版本导入
+
+        注意：此方法仅在 import_all 中调用，用于双重校验。
+        前端应先调用 pre_check 获取详细的版本信息并让用户确认。
+        """
+        backup_version = manifest.get("astrbot_version")
+        if not backup_version:
+            raise ValueError("备份文件缺少版本信息")
+
+        # 使用新的版本兼容性检查
+        version_check = self._check_version_compatibility(backup_version)
+
+        if version_check["status"] == "major_diff":
+            raise ValueError(version_check["message"])
+
+        # minor_diff 和 match 都允许导入
+        if version_check["status"] == "minor_diff":
+            logger.warning(f"版本差异警告: {version_check['message']}")
+
+    async def _clear_main_db(self) -> None:
+        """清空主数据库所有表"""
+        async with self.main_db.get_db() as session:
+            async with session.begin():
+                for table_name, model_class in MAIN_DB_MODELS.items():
+                    try:
+                        await session.execute(delete(model_class))
+                        logger.debug(f"已清空表 {table_name}")
+                    except Exception as e:
+                        logger.warning(f"清空表 {table_name} 失败: {e}")
+
+    async def _clear_kb_data(self) -> None:
+        """清空知识库数据"""
+        if not self.kb_manager:
+            return
+
+        # 清空知识库元数据表
+        async with self.kb_manager.kb_db.get_db() as session:
+            async with session.begin():
+                for table_name, model_class in KB_METADATA_MODELS.items():
+                    try:
+                        await session.execute(delete(model_class))
+                        logger.debug(f"已清空知识库表 {table_name}")
+                    except Exception as e:
+                        logger.warning(f"清空知识库表 {table_name} 失败: {e}")
+
+        # 删除知识库文件目录
+        for kb_id in list(self.kb_manager.kb_insts.keys()):
+            try:
+                kb_helper = self.kb_manager.kb_insts[kb_id]
+                await kb_helper.terminate()
+                if kb_helper.kb_dir.exists():
+                    shutil.rmtree(kb_helper.kb_dir)
+            except Exception as e:
+                logger.warning(f"清理知识库 {kb_id} 失败: {e}")
+
+        self.kb_manager.kb_insts.clear()
+
+    async def _import_main_database(
+        self, data: dict[str, list[dict]]
+    ) -> dict[str, int]:
+        """导入主数据库数据"""
+        imported: dict[str, int] = {}
+
+        async with self.main_db.get_db() as session:
+            async with session.begin():
+                for table_name, rows in data.items():
+                    model_class = MAIN_DB_MODELS.get(table_name)
+                    if not model_class:
+                        logger.warning(f"未知的表: {table_name}")
+                        continue
+
+                    count = 0
+                    for row in rows:
+                        try:
+                            # 转换 datetime 字符串为 datetime 对象
+                            row = self._convert_datetime_fields(row, model_class)
+                            obj = model_class(**row)
+                            session.add(obj)
+                            count += 1
+                        except Exception as e:
+                            logger.warning(f"导入记录到 {table_name} 失败: {e}")
+
+                    imported[table_name] = count
+                    logger.debug(f"导入表 {table_name}: {count} 条记录")
+
+        return imported
+
+    async def _import_knowledge_bases(
+        self,
+        zf: zipfile.ZipFile,
+        kb_meta_data: dict[str, list[dict]],
+        result: ImportResult,
+    ) -> None:
+        """导入知识库数据"""
+        if not self.kb_manager:
+            return
+
+        # 1. 导入知识库元数据
+        async with self.kb_manager.kb_db.get_db() as session:
+            async with session.begin():
+                for table_name, rows in kb_meta_data.items():
+                    model_class = KB_METADATA_MODELS.get(table_name)
+                    if not model_class:
+                        continue
+
+                    count = 0
+                    for row in rows:
+                        try:
+                            row = self._convert_datetime_fields(row, model_class)
+                            obj = model_class(**row)
+                            session.add(obj)
+                            count += 1
+                        except Exception as e:
+                            logger.warning(f"导入知识库记录到 {table_name} 失败: {e}")
+
+                    result.imported_tables[f"kb_{table_name}"] = count
+
+        # 2. 导入每个知识库的文档和文件
+        for kb_data in kb_meta_data.get("knowledge_bases", []):
+            kb_id = kb_data.get("kb_id")
+            if not kb_id:
+                continue
+
+            # 创建知识库目录
+            kb_dir = Path(self.kb_root_dir) / kb_id
+            kb_dir.mkdir(parents=True, exist_ok=True)
+
+            # 导入文档数据
+            doc_path = f"databases/kb_{kb_id}/documents.json"
+            if doc_path in zf.namelist():
+                try:
+                    doc_content = zf.read(doc_path)
+                    doc_data = json.loads(doc_content)
+
+                    # 导入到文档存储数据库
+                    await self._import_kb_documents(kb_id, doc_data)
+                except Exception as e:
+                    result.add_warning(f"导入知识库 {kb_id} 的文档失败: {e}")
+
+            # 导入 FAISS 索引
+            faiss_path = f"databases/kb_{kb_id}/index.faiss"
+            if faiss_path in zf.namelist():
+                try:
+                    target_path = kb_dir / "index.faiss"
+                    with zf.open(faiss_path) as src, open(target_path, "wb") as dst:
+                        dst.write(src.read())
+                except Exception as e:
+                    result.add_warning(f"导入知识库 {kb_id} 的 FAISS 索引失败: {e}")
+
+            # 导入媒体文件
+            media_prefix = f"files/kb_media/{kb_id}/"
+            for name in zf.namelist():
+                if name.startswith(media_prefix):
+                    try:
+                        rel_path = name[len(media_prefix) :]
+                        target_path = kb_dir / rel_path
+                        target_path.parent.mkdir(parents=True, exist_ok=True)
+                        with zf.open(name) as src, open(target_path, "wb") as dst:
+                            dst.write(src.read())
+                    except Exception as e:
+                        result.add_warning(f"导入媒体文件 {name} 失败: {e}")
+
+        # 3. 重新加载知识库实例
+        await self.kb_manager.load_kbs()
+
+    async def _import_kb_documents(self, kb_id: str, doc_data: dict) -> None:
+        """导入知识库文档到向量数据库"""
+        from astrbot.core.db.vec_db.faiss_impl.document_storage import DocumentStorage
+
+        kb_dir = Path(self.kb_root_dir) / kb_id
+        doc_db_path = kb_dir / "doc.db"
+
+        # 初始化文档存储
+        doc_storage = DocumentStorage(str(doc_db_path))
+        await doc_storage.initialize()
+
+        try:
+            documents = doc_data.get("documents", [])
+            for doc in documents:
+                try:
+                    await doc_storage.insert_document(
+                        doc_id=doc.get("doc_id", ""),
+                        text=doc.get("text", ""),
+                        metadata=json.loads(doc.get("metadata", "{}")),
+                    )
+                except Exception as e:
+                    logger.warning(f"导入文档块失败: {e}")
+        finally:
+            await doc_storage.close()
+
+    async def _import_attachments(
+        self,
+        zf: zipfile.ZipFile,
+        attachments: list[dict],
+    ) -> int:
+        """导入附件文件"""
+        count = 0
+
+        attachments_dir = Path(self.config_path).parent / "attachments"
+        attachments_dir.mkdir(parents=True, exist_ok=True)
+
+        attachment_prefix = "files/attachments/"
+        for name in zf.namelist():
+            if name.startswith(attachment_prefix) and name != attachment_prefix:
+                try:
+                    # 从附件记录中找到原始路径
+                    attachment_id = os.path.splitext(os.path.basename(name))[0]
+                    original_path = None
+                    for att in attachments:
+                        if att.get("attachment_id") == attachment_id:
+                            original_path = att.get("path")
+                            break
+
+                    if original_path:
+                        target_path = Path(original_path)
+                    else:
+                        target_path = attachments_dir / os.path.basename(name)
+
+                    target_path.parent.mkdir(parents=True, exist_ok=True)
+                    with zf.open(name) as src, open(target_path, "wb") as dst:
+                        dst.write(src.read())
+                    count += 1
+                except Exception as e:
+                    logger.warning(f"导入附件 {name} 失败: {e}")
+
+        return count
+
+    async def _import_directories(
+        self,
+        zf: zipfile.ZipFile,
+        manifest: dict,
+        result: ImportResult,
+    ) -> dict[str, int]:
+        """导入插件和其他数据目录
+
+        Args:
+            zf: ZIP 文件对象
+            manifest: 备份清单
+            result: 导入结果对象
+
+        Returns:
+            dict: 每个目录导入的文件数量
+        """
+        dir_stats: dict[str, int] = {}
+
+        # 检查备份版本是否支持目录备份（需要版本 >= 1.1）
+        backup_version = manifest.get("version", "1.0")
+        if VersionComparator.compare_version(backup_version, "1.1") < 0:
+            logger.info("备份版本不支持目录备份，跳过目录导入")
+            return dir_stats
+
+        backed_up_dirs = manifest.get("directories", [])
+        backup_directories = get_backup_directories()
+
+        for dir_name in backed_up_dirs:
+            if dir_name not in backup_directories:
+                result.add_warning(f"未知的目录类型: {dir_name}")
+                continue
+
+            target_dir = Path(backup_directories[dir_name])
+            archive_prefix = f"directories/{dir_name}/"
+
+            file_count = 0
+
+            try:
+                # 获取该目录下的所有文件
+                dir_files = [
+                    name
+                    for name in zf.namelist()
+                    if name.startswith(archive_prefix) and name != archive_prefix
+                ]
+
+                if not dir_files:
+                    continue
+
+                # 备份现有目录（如果存在）
+                if target_dir.exists():
+                    backup_path = Path(f"{target_dir}.bak")
+                    if backup_path.exists():
+                        shutil.rmtree(backup_path)
+                    shutil.move(str(target_dir), str(backup_path))
+                    logger.debug(f"已备份现有目录 {target_dir} 到 {backup_path}")
+
+                # 创建目标目录
+                target_dir.mkdir(parents=True, exist_ok=True)
+
+                # 解压文件
+                for name in dir_files:
+                    try:
+                        # 计算相对路径
+                        rel_path = name[len(archive_prefix) :]
+                        if not rel_path:  # 跳过目录条目
+                            continue
+
+                        target_path = target_dir / rel_path
+                        target_path.parent.mkdir(parents=True, exist_ok=True)
+
+                        with zf.open(name) as src, open(target_path, "wb") as dst:
+                            dst.write(src.read())
+                        file_count += 1
+                    except Exception as e:
+                        result.add_warning(f"导入文件 {name} 失败: {e}")
+
+                dir_stats[dir_name] = file_count
+                logger.debug(f"导入目录 {dir_name}: {file_count} 个文件")
+
+            except Exception as e:
+                result.add_warning(f"导入目录 {dir_name} 失败: {e}")
+                dir_stats[dir_name] = 0
+
+        return dir_stats
+
+    def _convert_datetime_fields(self, row: dict, model_class: type) -> dict:
+        """转换 datetime 字符串字段为 datetime 对象"""
+        result = row.copy()
+
+        # 获取模型的 datetime 字段
+        from sqlalchemy import inspect as sa_inspect
+
+        try:
+            mapper = sa_inspect(model_class)
+            for column in mapper.columns:
+                if column.name in result and result[column.name] is not None:
+                    # 检查是否是 datetime 类型的列
+                    from sqlalchemy import DateTime
+
+                    if isinstance(column.type, DateTime):
+                        value = result[column.name]
+                        if isinstance(value, str):
+                            # 解析 ISO 格式的日期时间字符串
+                            result[column.name] = datetime.fromisoformat(value)
+        except Exception:
+            pass
+
+        return result

astrbot/core/config/default.py

@@ -1,10 +1,11 @@
 """如需修改配置，请在 `data/cmd_config.json` 中修改或者在管理面板中可视化修改。"""
 
 import os
+from typing import Any, TypedDict
 
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
-VERSION = "4.8.0"
+VERSION = "4.10.3"
 DB_PATH = os.path.join(get_astrbot_data_path(), "data_v4.db")
 
 WEBHOOK_SUPPORTED_PLATFORMS = [
@@ -61,7 +62,8 @@ DEFAULT_CONFIG = {
         "ignore_bot_self_message": False,
         "ignore_at_all": False,
     },
-    "provider": [],
+    "provider_sources": [],  # provider sources
+    "provider": [],  # models from provider_sources
     "provider_settings": {
         "enable": True,
         "default_provider_id": "",
@@ -108,6 +110,7 @@ DEFAULT_CONFIG = {
         "provider_id": "",
         "dual_output": False,
         "use_file_service": False,
+        "trigger_probability": 1.0,
     },
     "provider_ltm_settings": {
         "group_icl_enable": False,
@@ -170,6 +173,22 @@ DEFAULT_CONFIG = {
 }
 
 
+class ChatProviderTemplate(TypedDict):
+    id: str
+    provider_source_id: str
+    model: str
+    modalities: list
+    custom_extra_body: dict[str, Any]
+
+
+CHAT_PROVIDER_TEMPLATE = {
+    "id": "",
+    "provide_source_id": "",
+    "model": "",
+    "modalities": [],
+    "custom_extra_body": {},
+}
+
 """
 AstrBot v3 时代的配置元数据，目前仅承担以下功能：
 
@@ -208,7 +227,7 @@ CONFIG_METADATA_2 = {
                         "callback_server_host": "0.0.0.0",
                         "port": 6196,
                     },
-                    "QQ 个人号(OneBot v11)": {
+                    "OneBot v11": {
                         "id": "default",
                         "type": "aiocqhttp",
                         "enable": False,
@@ -843,6 +862,7 @@ CONFIG_METADATA_2 = {
         "metadata": {
             "provider": {
                 "type": "list",
+                # provider sources templates
                 "config_template": {
                     "OpenAI": {
                         "id": "openai",
@@ -853,107 +873,10 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.openai.com/v1",
                         "timeout": 120,
-                        "model_config": {"model": "gpt-4o-mini", "temperature": 0.4},
                         "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
-                        "hint": "也兼容所有与 OpenAI API 兼容的服务。",
                     },
-                    "Azure OpenAI": {
-                        "id": "azure",
-                        "provider": "azure",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "api_version": "2024-05-01-preview",
-                        "key": [],
-                        "api_base": "",
-                        "timeout": 120,
-                        "model_config": {"model": "gpt-4o-mini", "temperature": 0.4},
-                        "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
-                    },
-                    "xAI": {
-                        "id": "xai",
-                        "provider": "xai",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": [],
-                        "api_base": "https://api.x.ai/v1",
-                        "timeout": 120,
-                        "model_config": {"model": "grok-2-latest", "temperature": 0.4},
-                        "custom_headers": {},
-                        "custom_extra_body": {},
-                        "xai_native_search": False,
-                        "modalities": ["text", "image", "tool_use"],
-                    },
-                    "Anthropic": {
-                        "hint": "注意Claude系列模型的温度调节范围为0到1.0，超出可能导致报错",
-                        "id": "claude",
-                        "provider": "anthropic",
-                        "type": "anthropic_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": [],
-                        "api_base": "https://api.anthropic.com/v1",
-                        "timeout": 120,
-                        "model_config": {
-                            "model": "claude-3-5-sonnet-latest",
-                            "max_tokens": 4096,
-                            "temperature": 0.2,
-                        },
-                        "modalities": ["text", "image", "tool_use"],
-                    },
-                    "Ollama": {
-                        "hint": "启用前请确保已正确安装并运行 Ollama 服务端，Ollama默认不带鉴权，无需修改key",
-                        "id": "ollama_default",
-                        "provider": "ollama",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": ["ollama"],  # ollama 的 key 默认是 ollama
-                        "api_base": "http://localhost:11434/v1",
-                        "model_config": {"model": "llama3.1-8b", "temperature": 0.4},
-                        "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
-                    },
-                    "LM Studio": {
-                        "id": "lm_studio",
-                        "provider": "lm_studio",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": ["lmstudio"],
-                        "api_base": "http://localhost:1234/v1",
-                        "model_config": {
-                            "model": "llama-3.1-8b",
-                        },
-                        "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
-                    },
-                    "Gemini(OpenAI兼容)": {
-                        "id": "gemini_default",
-                        "provider": "google",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": [],
-                        "api_base": "https://generativelanguage.googleapis.com/v1beta/openai/",
-                        "timeout": 120,
-                        "model_config": {
-                            "model": "gemini-1.5-flash",
-                            "temperature": 0.4,
-                        },
-                        "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
-                    },
-                    "Gemini": {
-                        "id": "gemini_default",
+                    "Google Gemini": {
+                        "id": "google_gemini",
                         "provider": "google",
                         "type": "googlegenai_chat_completion",
                         "provider_type": "chat_completion",
@@ -961,10 +884,6 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://generativelanguage.googleapis.com/",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "gemini-2.0-flash-exp",
-                            "temperature": 0.4,
-                        },
                         "gm_resp_image_modal": False,
                         "gm_native_search": False,
                         "gm_native_coderunner": False,
@@ -975,13 +894,43 @@ CONFIG_METADATA_2 = {
                             "sexually_explicit": "BLOCK_MEDIUM_AND_ABOVE",
                             "dangerous_content": "BLOCK_MEDIUM_AND_ABOVE",
                         },
-                        "gm_thinking_config": {
-                            "budget": 0,
-                        },
-                        "modalities": ["text", "image", "tool_use"],
+                        "gm_thinking_config": {"budget": 0, "level": "HIGH"},
+                    },
+                    "Anthropic": {
+                        "id": "anthropic",
+                        "provider": "anthropic",
+                        "type": "anthropic_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "api_base": "https://api.anthropic.com/v1",
+                        "timeout": 120,
+                    },
+                    "Moonshot": {
+                        "id": "moonshot",
+                        "provider": "moonshot",
+                        "type": "openai_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "timeout": 120,
+                        "api_base": "https://api.moonshot.cn/v1",
+                        "custom_headers": {},
+                    },
+                    "xAI": {
+                        "id": "xai",
+                        "provider": "xai",
+                        "type": "openai_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "api_base": "https://api.x.ai/v1",
+                        "timeout": 120,
+                        "custom_headers": {},
+                        "xai_native_search": False,
                     },
                     "DeepSeek": {
-                        "id": "deepseek_default",
+                        "id": "deepseek",
                         "provider": "deepseek",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
@@ -989,13 +938,75 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.deepseek.com/v1",
                         "timeout": 120,
-                        "model_config": {"model": "deepseek-chat", "temperature": 0.4},
                         "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "tool_use"],
+                    },
+                    "Zhipu": {
+                        "id": "zhipu",
+                        "provider": "zhipu",
+                        "type": "zhipu_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "timeout": 120,
+                        "api_base": "https://open.bigmodel.cn/api/paas/v4/",
+                        "custom_headers": {},
+                    },
+                    "Azure OpenAI": {
+                        "id": "azure_openai",
+                        "provider": "azure",
+                        "type": "openai_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "api_version": "2024-05-01-preview",
+                        "key": [],
+                        "api_base": "",
+                        "timeout": 120,
+                        "custom_headers": {},
+                    },
+                    "Ollama": {
+                        "id": "ollama",
+                        "provider": "ollama",
+                        "type": "openai_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": ["ollama"],  # ollama 的 key 默认是 ollama
+                        "api_base": "http://127.0.0.1:11434/v1",
+                        "custom_headers": {},
+                    },
+                    "LM Studio": {
+                        "id": "lm_studio",
+                        "provider": "lm_studio",
+                        "type": "openai_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": ["lmstudio"],
+                        "api_base": "http://127.0.0.1:1234/v1",
+                        "custom_headers": {},
+                    },
+                    "ModelStack": {
+                        "id": "modelstack",
+                        "provider": "modelstack",
+                        "type": "openai_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "api_base": "https://modelstack.app/v1",
+                        "timeout": 120,
+                        "custom_headers": {},
+                    },
+                    "Gemini_OpenAI_API": {
+                        "id": "google_gemini_openai",
+                        "provider": "google",
+                        "type": "openai_chat_completion",
+                        "provider_type": "chat_completion",
+                        "enable": True,
+                        "key": [],
+                        "api_base": "https://generativelanguage.googleapis.com/v1beta/openai/",
+                        "timeout": 120,
+                        "custom_headers": {},
                     },
                     "Groq": {
-                        "id": "groq_default",
+                        "id": "groq",
                         "provider": "groq",
                         "type": "groq_chat_completion",
                         "provider_type": "chat_completion",
@@ -1003,13 +1014,7 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.groq.com/openai/v1",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "openai/gpt-oss-20b",
-                            "temperature": 0.4,
-                        },
                         "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "tool_use"],
                     },
                     "302.AI": {
                         "id": "302ai",
@@ -1020,12 +1025,9 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.302.ai/v1",
                         "timeout": 120,
-                        "model_config": {"model": "gpt-4.1-mini", "temperature": 0.4},
                         "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
                     },
-                    "硅基流动": {
+                    "SiliconFlow": {
                         "id": "siliconflow",
                         "provider": "siliconflow",
                         "type": "openai_chat_completion",
@@ -1034,15 +1036,9 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "timeout": 120,
                         "api_base": "https://api.siliconflow.cn/v1",
-                        "model_config": {
-                            "model": "deepseek-ai/DeepSeek-V3",
-                            "temperature": 0.4,
-                        },
                         "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
                     },
-                    "PPIO派欧云": {
+                    "PPIO": {
                         "id": "ppio",
                         "provider": "ppio",
                         "type": "openai_chat_completion",
@@ -1051,14 +1047,9 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.ppinfra.com/v3/openai",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "deepseek/deepseek-r1",
-                            "temperature": 0.4,
-                        },
                         "custom_headers": {},
-                        "custom_extra_body": {},
                     },
-                    "小马算力": {
+                    "TokenPony": {
                         "id": "tokenpony",
                         "provider": "tokenpony",
                         "type": "openai_chat_completion",
@@ -1067,14 +1058,9 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.tokenpony.cn/v1",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "kimi-k2-instruct-0905",
-                            "temperature": 0.7,
-                        },
                         "custom_headers": {},
-                        "custom_extra_body": {},
                     },
-                    "优云智算": {
+                    "Compshare": {
                         "id": "compshare",
                         "provider": "compshare",
                         "type": "openai_chat_completion",
@@ -1083,42 +1069,18 @@ CONFIG_METADATA_2 = {
                         "key": [],
                         "api_base": "https://api.modelverse.cn/v1",
                         "timeout": 120,
-                        "model_config": {
-                            "model": "moonshotai/Kimi-K2-Instruct",
-                        },
                         "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
                     },
-                    "Kimi": {
-                        "id": "moonshot",
-                        "provider": "moonshot",
+                    "ModelScope": {
+                        "id": "modelscope",
+                        "provider": "modelscope",
                         "type": "openai_chat_completion",
                         "provider_type": "chat_completion",
                         "enable": True,
                         "key": [],
                         "timeout": 120,
-                        "api_base": "https://api.moonshot.cn/v1",
-                        "model_config": {"model": "moonshot-v1-8k", "temperature": 0.4},
+                        "api_base": "https://api-inference.modelscope.cn/v1",
                         "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
-                    },
-                    "智谱 AI": {
-                        "id": "zhipu_default",
-                        "provider": "zhipu",
-                        "type": "zhipu_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": [],
-                        "timeout": 120,
-                        "api_base": "https://open.bigmodel.cn/api/paas/v4/",
-                        "model_config": {
-                            "model": "glm-4-flash",
-                        },
-                        "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
                     },
                     "Dify": {
                         "id": "dify_app_default",
@@ -1133,7 +1095,6 @@ CONFIG_METADATA_2 = {
                         "dify_query_input_key": "astrbot_text_query",
                         "variables": {},
                         "timeout": 60,
-                        "hint": "请确保你在 AstrBot 里设置的 APP 类型和 Dify 里面创建的应用的类型一致！",
                     },
                     "Coze": {
                         "id": "coze",
@@ -1164,20 +1125,6 @@ CONFIG_METADATA_2 = {
                         "variables": {},
                         "timeout": 60,
                     },
-                    "ModelScope": {
-                        "id": "modelscope",
-                        "provider": "modelscope",
-                        "type": "openai_chat_completion",
-                        "provider_type": "chat_completion",
-                        "enable": True,
-                        "key": [],
-                        "timeout": 120,
-                        "api_base": "https://api-inference.modelscope.cn/v1",
-                        "model_config": {"model": "Qwen/Qwen3-32B", "temperature": 0.4},
-                        "custom_headers": {},
-                        "custom_extra_body": {},
-                        "modalities": ["text", "image", "tool_use"],
-                    },
                     "FastGPT": {
                         "id": "fastgpt",
                         "provider": "fastgpt",
@@ -1201,7 +1148,6 @@ CONFIG_METADATA_2 = {
                         "model": "whisper-1",
                     },
                     "Whisper(Local)": {
-                        "hint": "启用前请 pip 安装 openai-whisper 库（N卡用户大约下载 2GB，主要是 torch 和 cuda，CPU 用户大约下载 1 GB），并且安装 ffmpeg。否则将无法正常转文字。",
                         "provider": "openai",
                         "type": "openai_whisper_selfhost",
                         "provider_type": "speech_to_text",
@@ -1210,7 +1156,6 @@ CONFIG_METADATA_2 = {
                         "model": "tiny",
                     },
                     "SenseVoice(Local)": {
-                        "hint": "启用前请 pip 安装 funasr、funasr_onnx、torchaudio、torch、modelscope、jieba 库（默认使用CPU，大约下载 1 GB），并且安装 ffmpeg。否则将无法正常转文字。",
                         "type": "sensevoice_stt_selfhost",
                         "provider": "sensevoice",
                         "provider_type": "speech_to_text",
@@ -1232,7 +1177,6 @@ CONFIG_METADATA_2 = {
                         "timeout": "20",
                     },
                     "Edge TTS": {
-                        "hint": "提示：使用这个服务前需要安装有 ffmpeg，并且可以直接在终端调用 ffmpeg 指令。",
                         "id": "edge_tts",
                         "provider": "microsoft",
                         "type": "edge_tts",
@@ -1448,6 +1392,10 @@ CONFIG_METADATA_2 = {
                     },
                 },
                 "items": {
+                    "provider_source_id": {
+                        "invisible": True,
+                        "type": "string",
+                    },
                     "xai_native_search": {
                         "description": "启用原生搜索功能",
                         "type": "bool",
@@ -1818,13 +1766,24 @@ CONFIG_METADATA_2 = {
                         },
                     },
                     "gm_thinking_config": {
-                        "description": "Gemini思考设置",
+                        "description": "Thinking Config",
                         "type": "object",
                         "items": {
                             "budget": {
-                                "description": "思考预算",
+                                "description": "Thinking Budget",
                                 "type": "int",
-                                "hint": "模型应该生成的思考Token的数量，设为0关闭思考。除gemini-2.5-flash外的模型会静默忽略此参数。",
+                                "hint": "Guides the model on the specific number of thinking tokens to use for reasoning. See: https://ai.google.dev/gemini-api/docs/thinking#set-budget",
+                            },
+                            "level": {
+                                "description": "Thinking Level",
+                                "type": "string",
+                                "hint": "Recommended for Gemini 3 models and onwards, lets you control reasoning behavior.See: https://ai.google.dev/gemini-api/docs/thinking#thinking-levels",
+                                "options": [
+                                    "MINIMAL",
+                                    "LOW",
+                                    "MEDIUM",
+                                    "HIGH",
+                                ],
                             },
                         },
                     },
@@ -2005,7 +1964,6 @@ CONFIG_METADATA_2 = {
                     "id": {
                         "description": "ID",
                         "type": "string",
-                        "hint": "模型提供商名字。",
                     },
                     "type": {
                         "description": "模型提供商种类",
@@ -2025,29 +1983,15 @@ CONFIG_METADATA_2 = {
                         "description": "API Key",
                         "type": "list",
                         "items": {"type": "string"},
-                        "hint": "提供商 API Key。",
                     },
                     "api_base": {
                         "description": "API Base URL",
                         "type": "string",
-                        "hint": "API Base URL 请在模型提供商处获得。如出现 404 报错，尝试在地址末尾加上 /v1",
                     },
-                    "model_config": {
-                        "description": "模型配置",
-                        "type": "object",
-                        "items": {
-                            "model": {
-                                "description": "模型名称",
-                                "type": "string",
-                                "hint": "模型名称，如 gpt-4o-mini, deepseek-chat。",
-                            },
-                            "max_tokens": {
-                                "description": "模型最大输出长度（tokens）",
-                                "type": "int",
-                            },
-                            "temperature": {"description": "温度", "type": "float"},
-                            "top_p": {"description": "Top P值", "type": "float"},
-                        },
+                    "model": {
+                        "description": "模型 ID",
+                        "type": "string",
+                        "hint": "模型名称，如 gpt-4o-mini, deepseek-chat。",
                     },
                     "dify_api_key": {
                         "description": "API Key",
@@ -2209,6 +2153,9 @@ CONFIG_METADATA_2 = {
                     "use_file_service": {
                         "type": "bool",
                     },
+                    "trigger_probability": {
+                        "type": "float",
+                    },
                 },
             },
             "provider_ltm_settings": {
@@ -2419,6 +2366,14 @@ 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 +2941,7 @@ 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/core_lifecycle.py

@@ -33,6 +33,7 @@ from astrbot.core.star.context import Context
 from astrbot.core.star.star_handler import EventType, star_handlers_registry, star_map
 from astrbot.core.umop_config_router import UmopConfigRouter
 from astrbot.core.updator import AstrBotUpdator
+from astrbot.core.utils.llm_metadata import update_llm_metadata
 from astrbot.core.utils.migra_helper import migra
 
 from . import astrbot_config, html_renderer
@@ -185,6 +186,8 @@ class AstrBotCoreLifecycle:
         # 初始化关闭控制面板的事件
         self.dashboard_shutdown_event = asyncio.Event()
 
+        asyncio.create_task(update_llm_metadata())
+
     def _load(self) -> None:
         """加载事件总线和任务并初始化."""
         # 创建一个异步任务来执行事件总线的 dispatch() 方法

astrbot/core/db/__init__.py

@@ -9,6 +9,8 @@ from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_asyn
 
 from astrbot.core.db.po import (
     Attachment,
+    CommandConfig,
+    CommandConflict,
     ConversationV2,
     Persona,
     PlatformMessageHistory,
@@ -314,6 +316,76 @@ class BaseDatabase(abc.ABC):
         """Clear all preferences for a specific scope ID."""
         ...
 
+    @abc.abstractmethod
+    async def get_command_configs(self) -> list[CommandConfig]:
+        """Get all stored command configurations."""
+        ...
+
+    @abc.abstractmethod
+    async def get_command_config(self, handler_full_name: str) -> CommandConfig | None:
+        """Fetch a single command configuration by handler."""
+        ...
+
+    @abc.abstractmethod
+    async def upsert_command_config(
+        self,
+        handler_full_name: str,
+        plugin_name: str,
+        module_path: str,
+        original_command: str,
+        *,
+        resolved_command: str | None = None,
+        enabled: bool | None = None,
+        keep_original_alias: bool | None = None,
+        conflict_key: str | None = None,
+        resolution_strategy: str | None = None,
+        note: str | None = None,
+        extra_data: dict | None = None,
+        auto_managed: bool | None = None,
+    ) -> CommandConfig:
+        """Create or update a command configuration."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_command_config(self, handler_full_name: str) -> None:
+        """Delete a single command configuration."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_command_configs(self, handler_full_names: list[str]) -> None:
+        """Bulk delete command configurations."""
+        ...
+
+    @abc.abstractmethod
+    async def list_command_conflicts(
+        self,
+        status: str | None = None,
+    ) -> list[CommandConflict]:
+        """List recorded command conflict entries."""
+        ...
+
+    @abc.abstractmethod
+    async def upsert_command_conflict(
+        self,
+        conflict_key: str,
+        handler_full_name: str,
+        plugin_name: str,
+        *,
+        status: str | None = None,
+        resolution: str | None = None,
+        resolved_command: str | None = None,
+        note: str | None = None,
+        extra_data: dict | None = None,
+        auto_generated: bool | None = None,
+    ) -> CommandConflict:
+        """Create or update a conflict record."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_command_conflicts(self, ids: list[int]) -> None:
+        """Delete conflict records."""
+        ...
+
     # @abc.abstractmethod
     # async def insert_llm_message(
     #     self,

astrbot/core/db/po.py

@@ -234,6 +234,65 @@ class Attachment(SQLModel, table=True):
     )
 
 
+class CommandConfig(SQLModel, table=True):
+    """Per-command configuration overrides for dashboard management."""
+
+    __tablename__ = "command_configs"  # type: ignore
+
+    handler_full_name: str = Field(
+        primary_key=True,
+        max_length=512,
+    )
+    plugin_name: str = Field(nullable=False, max_length=255)
+    module_path: str = Field(nullable=False, max_length=255)
+    original_command: str = Field(nullable=False, max_length=255)
+    resolved_command: str | None = Field(default=None, max_length=255)
+    enabled: bool = Field(default=True, nullable=False)
+    keep_original_alias: bool = Field(default=False, nullable=False)
+    conflict_key: str | None = Field(default=None, max_length=255)
+    resolution_strategy: str | None = Field(default=None, max_length=64)
+    note: str | None = Field(default=None, sa_type=Text)
+    extra_data: dict | None = Field(default=None, sa_type=JSON)
+    auto_managed: bool = Field(default=False, nullable=False)
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+
+class CommandConflict(SQLModel, table=True):
+    """Conflict tracking for duplicated command names."""
+
+    __tablename__ = "command_conflicts"  # type: ignore
+
+    id: int | None = Field(
+        default=None, primary_key=True, sa_column_kwargs={"autoincrement": True}
+    )
+    conflict_key: str = Field(nullable=False, max_length=255)
+    handler_full_name: str = Field(nullable=False, max_length=512)
+    plugin_name: str = Field(nullable=False, max_length=255)
+    status: str = Field(default="pending", max_length=32)
+    resolution: str | None = Field(default=None, max_length=64)
+    resolved_command: str | None = Field(default=None, max_length=255)
+    note: str | None = Field(default=None, sa_type=Text)
+    extra_data: dict | None = Field(default=None, sa_type=JSON)
+    auto_generated: bool = Field(default=False, nullable=False)
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "conflict_key",
+            "handler_full_name",
+            name="uix_conflict_handler",
+        ),
+    )
+
+
 @dataclass
 class Conversation:
     """LLM 对话类

astrbot/core/db/sqlite.py

@@ -1,6 +1,7 @@
 import asyncio
 import threading
 import typing as T
+from collections.abc import Awaitable, Callable
 from datetime import datetime, timedelta, timezone
 
 from sqlalchemy import CursorResult
@@ -10,6 +11,8 @@ from sqlmodel import col, delete, desc, func, or_, select, text, update
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.po import (
     Attachment,
+    CommandConfig,
+    CommandConflict,
     ConversationV2,
     Persona,
     PlatformMessageHistory,
@@ -26,6 +29,7 @@ from astrbot.core.db.po import (
 )
 
 NOT_GIVEN = T.TypeVar("NOT_GIVEN")
+TxResult = T.TypeVar("TxResult")
 
 
 class SQLiteDatabase(BaseDatabase):
@@ -670,6 +674,242 @@ class SQLiteDatabase(BaseDatabase):
                 )
             await session.commit()
 
+    # ====
+    # Command Configuration & Conflict Tracking
+    # ====
+
+    async def _run_in_tx(
+        self,
+        fn: Callable[[AsyncSession], Awaitable[TxResult]],
+    ) -> TxResult:
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                return await fn(session)
+
+    @staticmethod
+    def _apply_updates(model, **updates) -> None:
+        for field, value in updates.items():
+            if value is not None:
+                setattr(model, field, value)
+
+    @staticmethod
+    def _new_command_config(
+        handler_full_name: str,
+        plugin_name: str,
+        module_path: str,
+        original_command: str,
+        *,
+        resolved_command: str | None = None,
+        enabled: bool | None = None,
+        keep_original_alias: bool | None = None,
+        conflict_key: str | None = None,
+        resolution_strategy: str | None = None,
+        note: str | None = None,
+        extra_data: dict | None = None,
+        auto_managed: bool | None = None,
+    ) -> CommandConfig:
+        return CommandConfig(
+            handler_full_name=handler_full_name,
+            plugin_name=plugin_name,
+            module_path=module_path,
+            original_command=original_command,
+            resolved_command=resolved_command,
+            enabled=True if enabled is None else enabled,
+            keep_original_alias=False
+            if keep_original_alias is None
+            else keep_original_alias,
+            conflict_key=conflict_key or original_command,
+            resolution_strategy=resolution_strategy,
+            note=note,
+            extra_data=extra_data,
+            auto_managed=bool(auto_managed),
+        )
+
+    @staticmethod
+    def _new_command_conflict(
+        conflict_key: str,
+        handler_full_name: str,
+        plugin_name: str,
+        *,
+        status: str | None = None,
+        resolution: str | None = None,
+        resolved_command: str | None = None,
+        note: str | None = None,
+        extra_data: dict | None = None,
+        auto_generated: bool | None = None,
+    ) -> CommandConflict:
+        return CommandConflict(
+            conflict_key=conflict_key,
+            handler_full_name=handler_full_name,
+            plugin_name=plugin_name,
+            status=status or "pending",
+            resolution=resolution,
+            resolved_command=resolved_command,
+            note=note,
+            extra_data=extra_data,
+            auto_generated=bool(auto_generated),
+        )
+
+    async def get_command_configs(self) -> list[CommandConfig]:
+        async with self.get_db() as session:
+            session: AsyncSession
+            result = await session.execute(select(CommandConfig))
+            return list(result.scalars().all())
+
+    async def get_command_config(
+        self,
+        handler_full_name: str,
+    ) -> CommandConfig | None:
+        async with self.get_db() as session:
+            session: AsyncSession
+            return await session.get(CommandConfig, handler_full_name)
+
+    async def upsert_command_config(
+        self,
+        handler_full_name: str,
+        plugin_name: str,
+        module_path: str,
+        original_command: str,
+        *,
+        resolved_command: str | None = None,
+        enabled: bool | None = None,
+        keep_original_alias: bool | None = None,
+        conflict_key: str | None = None,
+        resolution_strategy: str | None = None,
+        note: str | None = None,
+        extra_data: dict | None = None,
+        auto_managed: bool | None = None,
+    ) -> CommandConfig:
+        async def _op(session: AsyncSession) -> CommandConfig:
+            config = await session.get(CommandConfig, handler_full_name)
+            if not config:
+                config = self._new_command_config(
+                    handler_full_name,
+                    plugin_name,
+                    module_path,
+                    original_command,
+                    resolved_command=resolved_command,
+                    enabled=enabled,
+                    keep_original_alias=keep_original_alias,
+                    conflict_key=conflict_key,
+                    resolution_strategy=resolution_strategy,
+                    note=note,
+                    extra_data=extra_data,
+                    auto_managed=auto_managed,
+                )
+                session.add(config)
+            else:
+                self._apply_updates(
+                    config,
+                    plugin_name=plugin_name,
+                    module_path=module_path,
+                    original_command=original_command,
+                    resolved_command=resolved_command,
+                    enabled=enabled,
+                    keep_original_alias=keep_original_alias,
+                    conflict_key=conflict_key,
+                    resolution_strategy=resolution_strategy,
+                    note=note,
+                    extra_data=extra_data,
+                    auto_managed=auto_managed,
+                )
+            await session.flush()
+            await session.refresh(config)
+            return config
+
+        return await self._run_in_tx(_op)
+
+    async def delete_command_config(self, handler_full_name: str) -> None:
+        await self.delete_command_configs([handler_full_name])
+
+    async def delete_command_configs(self, handler_full_names: list[str]) -> None:
+        if not handler_full_names:
+            return
+
+        async def _op(session: AsyncSession) -> None:
+            await session.execute(
+                delete(CommandConfig).where(
+                    col(CommandConfig.handler_full_name).in_(handler_full_names),
+                ),
+            )
+
+        await self._run_in_tx(_op)
+
+    async def list_command_conflicts(
+        self,
+        status: str | None = None,
+    ) -> list[CommandConflict]:
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(CommandConflict)
+            if status:
+                query = query.where(CommandConflict.status == status)
+            result = await session.execute(query)
+            return list(result.scalars().all())
+
+    async def upsert_command_conflict(
+        self,
+        conflict_key: str,
+        handler_full_name: str,
+        plugin_name: str,
+        *,
+        status: str | None = None,
+        resolution: str | None = None,
+        resolved_command: str | None = None,
+        note: str | None = None,
+        extra_data: dict | None = None,
+        auto_generated: bool | None = None,
+    ) -> CommandConflict:
+        async def _op(session: AsyncSession) -> CommandConflict:
+            result = await session.execute(
+                select(CommandConflict).where(
+                    CommandConflict.conflict_key == conflict_key,
+                    CommandConflict.handler_full_name == handler_full_name,
+                ),
+            )
+            record = result.scalar_one_or_none()
+            if not record:
+                record = self._new_command_conflict(
+                    conflict_key,
+                    handler_full_name,
+                    plugin_name,
+                    status=status,
+                    resolution=resolution,
+                    resolved_command=resolved_command,
+                    note=note,
+                    extra_data=extra_data,
+                    auto_generated=auto_generated,
+                )
+                session.add(record)
+            else:
+                self._apply_updates(
+                    record,
+                    plugin_name=plugin_name,
+                    status=status,
+                    resolution=resolution,
+                    resolved_command=resolved_command,
+                    note=note,
+                    extra_data=extra_data,
+                    auto_generated=auto_generated,
+                )
+            await session.flush()
+            await session.refresh(record)
+            return record
+
+        return await self._run_in_tx(_op)
+
+    async def delete_command_conflicts(self, ids: list[int]) -> None:
+        if not ids:
+            return
+
+        async def _op(session: AsyncSession) -> None:
+            await session.execute(
+                delete(CommandConflict).where(col(CommandConflict.id).in_(ids)),
+            )
+
+        await self._run_in_tx(_op)
+
     # ====
     # Deprecated Methods
     # ====

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
 
@@ -57,7 +58,7 @@ def is_plugin_path(pathname):
         return False
 
     norm_path = os.path.normpath(pathname)
-    return ("data/plugins" in norm_path) or ("packages/" in norm_path)
+    return ("data/plugins" in norm_path) or ("astrbot/builtin_stars/" in norm_path)
 
 
 def get_short_level_name(level_name):
@@ -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/message/components.py

@@ -629,12 +629,11 @@ class Nodes(BaseMessageComponent):
 
 class Json(BaseMessageComponent):
     type = ComponentType.Json
-    data: str | dict
-    resid: int | None = 0
+    data: dict
 
-    def __init__(self, data, **_):
-        if isinstance(data, dict):
-            data = json.dumps(data)
+    def __init__(self, data: str | dict, **_):
+        if isinstance(data, str):
+            data = json.loads(data)
         super().__init__(data=data, **_)
 
 

astrbot/core/pipeline/process_stage/method/agent_sub_stages/internal.py

@@ -321,7 +321,12 @@ class InternalAgentSubStage(Stage):
             elif isinstance(req.tool_calls_result, list):
                 for tcr in req.tool_calls_result:
                     messages.extend(tcr.to_openai_messages())
-        messages.append({"role": "assistant", "content": llm_response.completion_text})
+        messages.append(
+            {
+                "role": "assistant",
+                "content": llm_response.completion_text or "*No response*",
+            }
+        )
         messages = list(filter(lambda item: "_no_save" not in item, messages))
         await self.conv_manager.update_conversation(
             event.unified_msg_origin,
@@ -385,7 +390,7 @@ class InternalAgentSubStage(Stage):
                     return
 
                 req.prompt = event.message_str[len(provider_wake_prefix) :]
-                # func_tool selection 现在已经转移到 packages/astrbot 插件中进行选择。
+                # func_tool selection 现在已经转移到 astrbot/builtin_stars/astrbot 插件中进行选择。
                 # req.func_tool = self.ctx.plugin_manager.context.get_llm_tool_manager()
                 for comp in event.message_obj.message:
                     if isinstance(comp, Image):

astrbot/core/pipeline/respond/stage.py

@@ -119,7 +119,7 @@ class RespondStage(Stage):
 
         if (result := event.get_result()) is None:
             return False
-        if self.only_llm_result and result.is_llm_result():
+        if self.only_llm_result and not result.is_llm_result():
             return False
 
         if event.get_platform_name() in [
@@ -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/pipeline/waking_check/stage.py

@@ -136,7 +136,8 @@ class WakingCheckStage(Stage):
         ):
             if (
                 self.disable_builtin_commands
-                and handler.handler_module_path == "packages.builtin_commands.main"
+                and handler.handler_module_path
+                == "astrbot.builtin_stars.builtin_commands.main"
             ):
                 logger.debug("skipping builtin command")
                 continue

astrbot/core/platform/sources/aiocqhttp/aiocqhttp_platform_adapter.py

@@ -385,10 +385,25 @@ class AiocqhttpAdapter(Platform):
                         logger.error(f"获取 @ 用户信息失败: {e}，此消息段将被忽略。")
 
                 message_str += "".join(at_parts)
+            elif t == "markdown":
+                text = m["data"].get("markdown") or m["data"].get("content", "")
+                abm.message.append(Plain(text=text))
+                message_str += text
             else:
                 for m in m_group:
-                    a = ComponentTypes[t](**m["data"])
-                    abm.message.append(a)
+                    try:
+                        if t not in ComponentTypes:
+                            logger.warning(
+                                f"不支持的消息段类型，已忽略: {t}, data={m['data']}"
+                            )
+                            continue
+                        a = ComponentTypes[t](**m["data"])
+                        abm.message.append(a)
+                    except Exception as e:
+                        logger.exception(
+                            f"消息段解析失败: type={t}, data={m['data']}. {e}"
+                        )
+                        continue
 
         abm.timestamp = int(time.time())
         abm.message_str = message_str

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/core/platform/sources/telegram/tg_event.py

@@ -200,6 +200,15 @@ class TelegramPlatformEvent(AstrMessageEvent):
             if isinstance(chain, MessageChain):
                 if chain.type == "break":
                     # 分割符
+                    if message_id:
+                        try:
+                            await self.client.edit_message_text(
+                                text=delta,
+                                chat_id=payload["chat_id"],
+                                message_id=message_id,
+                            )
+                        except Exception as e:
+                            logger.warning(f"编辑消息失败(streaming-break): {e!s}")
                     message_id = None  # 重置消息 ID
                     delta = ""  # 重置 delta
                     continue

astrbot/core/platform/sources/webchat/webchat_event.py

@@ -1,11 +1,12 @@
 import base64
+import json
 import os
 import shutil
 import uuid
 
 from astrbot.api import logger
 from astrbot.api.event import AstrMessageEvent, MessageChain
-from astrbot.api.message_components import File, Image, Plain, Record
+from astrbot.api.message_components import File, Image, Json, Plain, Record
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
 from .webchat_queue_mgr import webchat_queue_mgr
@@ -41,12 +42,20 @@ class WebChatMessageEvent(AstrMessageEvent):
                 await web_chat_back_queue.put(
                     {
                         "type": "plain",
-                        "cid": cid,
                         "data": data,
                         "streaming": streaming,
                         "chain_type": message.type,
                     },
                 )
+            elif isinstance(comp, Json):
+                await web_chat_back_queue.put(
+                    {
+                        "type": "plain",
+                        "data": json.dumps(comp.data, ensure_ascii=False),
+                        "streaming": streaming,
+                        "chain_type": message.type,
+                    },
+                )
             elif isinstance(comp, Image):
                 # save image to local
                 filename = f"{str(uuid.uuid4())}.jpg"
@@ -58,7 +67,6 @@ class WebChatMessageEvent(AstrMessageEvent):
                 await web_chat_back_queue.put(
                     {
                         "type": "image",
-                        "cid": cid,
                         "data": data,
                         "streaming": streaming,
                     },
@@ -74,7 +82,6 @@ class WebChatMessageEvent(AstrMessageEvent):
                 await web_chat_back_queue.put(
                     {
                         "type": "record",
-                        "cid": cid,
                         "data": data,
                         "streaming": streaming,
                     },
@@ -91,7 +98,6 @@ class WebChatMessageEvent(AstrMessageEvent):
                 await web_chat_back_queue.put(
                     {
                         "type": "file",
-                        "cid": cid,
                         "data": data,
                         "streaming": streaming,
                     },
@@ -111,18 +117,17 @@ class WebChatMessageEvent(AstrMessageEvent):
         cid = self.session_id.split("!")[-1]
         web_chat_back_queue = webchat_queue_mgr.get_or_create_back_queue(cid)
         async for chain in generator:
-            if chain.type == "break" and final_data:
-                # 分割符
-                await web_chat_back_queue.put(
-                    {
-                        "type": "break",  # break means a segment end
-                        "data": final_data,
-                        "streaming": True,
-                        "cid": cid,
-                    },
-                )
-                final_data = ""
-                continue
+            # if chain.type == "break" and final_data:
+            #     # 分割符
+            #     await web_chat_back_queue.put(
+            #         {
+            #             "type": "break",  # break means a segment end
+            #             "data": final_data,
+            #             "streaming": True,
+            #         },
+            #     )
+            #     final_data = ""
+            #     continue
 
             r = await WebChatMessageEvent._send(
                 chain,
@@ -142,7 +147,6 @@ class WebChatMessageEvent(AstrMessageEvent):
                 "data": final_data,
                 "reasoning": reasoning_content,
                 "streaming": True,
-                "cid": cid,
             },
         )
         await super().send_streaming(generator, use_fallback)

astrbot/core/provider/entities.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import base64
 import enum
 import json
@@ -12,6 +14,7 @@ import astrbot.core.message.components as Comp
 from astrbot import logger
 from astrbot.core.agent.message import (
     AssistantMessageSegment,
+    ContentPart,
     ToolCall,
     ToolCallMessageSegment,
 )
@@ -90,6 +93,8 @@ class ProviderRequest:
     """会话 ID"""
     image_urls: list[str] = field(default_factory=list)
     """图片 URL 列表"""
+    extra_user_content_parts: list[ContentPart] = field(default_factory=list)
+    """额外的用户消息内容部分列表，用于在用户消息后添加额外的内容块（如系统提醒、指令等）。支持 dict 或 ContentPart 对象"""
     func_tool: ToolSet | None = None
     """可用的函数工具"""
     contexts: list[dict] = field(default_factory=list)
@@ -164,13 +169,23 @@ class ProviderRequest:
 
     async def assemble_context(self) -> dict:
         """将请求(prompt 和 image_urls)包装成 OpenAI 的消息格式。"""
+        # 构建内容块列表
+        content_blocks = []
+
+        # 1. 用户原始发言（OpenAI 建议：用户发言在前）
+        if self.prompt and self.prompt.strip():
+            content_blocks.append({"type": "text", "text": self.prompt})
+        elif self.image_urls:
+            # 如果没有文本但有图片，添加占位文本
+            content_blocks.append({"type": "text", "text": "[图片]"})
+
+        # 2. 额外的内容块（系统提醒、指令等）
+        if self.extra_user_content_parts:
+            for part in self.extra_user_content_parts:
+                content_blocks.append(part.model_dump())
+
+        # 3. 图片内容
         if self.image_urls:
-            user_content = {
-                "role": "user",
-                "content": [
-                    {"type": "text", "text": self.prompt if self.prompt else "[图片]"},
-                ],
-            }
             for image_url in self.image_urls:
                 if image_url.startswith("http"):
                     image_path = await download_image_by_url(image_url)
@@ -183,11 +198,21 @@ class ProviderRequest:
                 if not image_data:
                     logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
                     continue
-                user_content["content"].append(
+                content_blocks.append(
                     {"type": "image_url", "image_url": {"url": image_data}},
                 )
-            return user_content
-        return {"role": "user", "content": self.prompt}
+
+        # 只有当只有一个来自 prompt 的文本块且没有额外内容块时，才降级为简单格式以保持向后兼容
+        if (
+            len(content_blocks) == 1
+            and content_blocks[0]["type"] == "text"
+            and not self.extra_user_content_parts
+            and not self.image_urls
+        ):
+            return {"role": "user", "content": content_blocks[0]["text"]}
+
+        # 否则返回多模态格式
+        return {"role": "user", "content": content_blocks}
 
     async def _encode_image_bs64(self, image_url: str) -> str:
         """将图片转换为 base64"""
@@ -199,6 +224,38 @@ class ProviderRequest:
         return ""
 
 
+@dataclass
+class TokenUsage:
+    input_other: int = 0
+    """The number of input tokens, excluding cached tokens."""
+    input_cached: int = 0
+    """The number of input cached tokens."""
+    output: int = 0
+    """The number of output tokens."""
+
+    @property
+    def total(self) -> int:
+        return self.input_other + self.input_cached + self.output
+
+    @property
+    def input(self) -> int:
+        return self.input_other + self.input_cached
+
+    def __add__(self, other: TokenUsage) -> TokenUsage:
+        return TokenUsage(
+            input_other=self.input_other + other.input_other,
+            input_cached=self.input_cached + other.input_cached,
+            output=self.output + other.output,
+        )
+
+    def __sub__(self, other: TokenUsage) -> TokenUsage:
+        return TokenUsage(
+            input_other=self.input_other - other.input_other,
+            input_cached=self.input_cached - other.input_cached,
+            output=self.output - other.output,
+        )
+
+
 @dataclass
 class LLMResponse:
     role: str
@@ -227,6 +284,11 @@ class LLMResponse:
     is_chunk: bool = False
     """Indicates if the response is a chunked response."""
 
+    id: str | None = None
+    """The ID of the response. For chunked responses, it's the ID of the chunk; for non-chunked responses, it's the ID of the response."""
+    usage: TokenUsage | None = None
+    """The usage of the response. For chunked responses, it's the usage of the chunk; for non-chunked responses, it's the usage of the response."""
+
     def __init__(
         self,
         role: str,
@@ -241,6 +303,8 @@ class LLMResponse:
         | AnthropicMessage
         | None = None,
         is_chunk: bool = False,
+        id: str | None = None,
+        usage: TokenUsage | None = None,
     ):
         """初始化 LLMResponse
 

astrbot/core/provider/manager.py

@@ -1,4 +1,5 @@
 import asyncio
+import copy
 import traceback
 from typing import Protocol, runtime_checkable
 
@@ -32,10 +33,12 @@ class ProviderManager:
         persona_mgr: PersonaManager,
     ):
         self.reload_lock = asyncio.Lock()
+        self.resource_lock = asyncio.Lock()
         self.persona_mgr = persona_mgr
         self.acm = acm
         config = acm.confs["default"]
         self.providers_config: list = config["provider"]
+        self.provider_sources_config: list = config.get("provider_sources", [])
         self.provider_settings: dict = config["provider_settings"]
         self.provider_stt_settings: dict = config.get("provider_stt_settings", {})
         self.provider_tts_settings: dict = config.get("provider_tts_settings", {})
@@ -148,6 +151,7 @@ class ProviderManager:
 
         """
         provider = None
+        provider_id = None
         if umo:
             provider_id = sp.get(
                 f"provider_perf_{provider_type.value}",
@@ -185,6 +189,12 @@ class ProviderManager:
                     )
             else:
                 raise ValueError(f"Unknown provider type: {provider_type}")
+
+        if not provider and provider_id:
+            logger.warning(
+                f"没有找到 ID 为 {provider_id} 的提供商，这可能是由于您修改了提供商（模型）ID 导致的。"
+            )
+
         return provider
 
     async def initialize(self):
@@ -251,7 +261,136 @@ class ProviderManager:
         # 初始化 MCP Client 连接
         asyncio.create_task(self.llm_tools.init_mcp_clients(), name="init_mcp_clients")
 
+    def dynamic_import_provider(self, type: str):
+        """动态导入提供商适配器模块
+
+        Args:
+            type (str): 提供商请求类型。
+
+        Raises:
+            ImportError: 如果提供商类型未知或无法导入对应模块，则抛出异常。
+        """
+        match type:
+            case "openai_chat_completion":
+                from .sources.openai_source import (
+                    ProviderOpenAIOfficial as ProviderOpenAIOfficial,
+                )
+            case "zhipu_chat_completion":
+                from .sources.zhipu_source import ProviderZhipu as ProviderZhipu
+            case "groq_chat_completion":
+                from .sources.groq_source import ProviderGroq as ProviderGroq
+            case "anthropic_chat_completion":
+                from .sources.anthropic_source import (
+                    ProviderAnthropic as ProviderAnthropic,
+                )
+            case "googlegenai_chat_completion":
+                from .sources.gemini_source import (
+                    ProviderGoogleGenAI as ProviderGoogleGenAI,
+                )
+            case "sensevoice_stt_selfhost":
+                from .sources.sensevoice_selfhosted_source import (
+                    ProviderSenseVoiceSTTSelfHost as ProviderSenseVoiceSTTSelfHost,
+                )
+            case "openai_whisper_api":
+                from .sources.whisper_api_source import (
+                    ProviderOpenAIWhisperAPI as ProviderOpenAIWhisperAPI,
+                )
+            case "openai_whisper_selfhost":
+                from .sources.whisper_selfhosted_source import (
+                    ProviderOpenAIWhisperSelfHost as ProviderOpenAIWhisperSelfHost,
+                )
+            case "xinference_stt":
+                from .sources.xinference_stt_provider import (
+                    ProviderXinferenceSTT as ProviderXinferenceSTT,
+                )
+            case "openai_tts_api":
+                from .sources.openai_tts_api_source import (
+                    ProviderOpenAITTSAPI as ProviderOpenAITTSAPI,
+                )
+            case "edge_tts":
+                from .sources.edge_tts_source import (
+                    ProviderEdgeTTS as ProviderEdgeTTS,
+                )
+            case "gsv_tts_selfhost":
+                from .sources.gsv_selfhosted_source import (
+                    ProviderGSVTTS as ProviderGSVTTS,
+                )
+            case "gsvi_tts_api":
+                from .sources.gsvi_tts_source import (
+                    ProviderGSVITTS as ProviderGSVITTS,
+                )
+            case "fishaudio_tts_api":
+                from .sources.fishaudio_tts_api_source import (
+                    ProviderFishAudioTTSAPI as ProviderFishAudioTTSAPI,
+                )
+            case "dashscope_tts":
+                from .sources.dashscope_tts import (
+                    ProviderDashscopeTTSAPI as ProviderDashscopeTTSAPI,
+                )
+            case "azure_tts":
+                from .sources.azure_tts_source import (
+                    AzureTTSProvider as AzureTTSProvider,
+                )
+            case "minimax_tts_api":
+                from .sources.minimax_tts_api_source import (
+                    ProviderMiniMaxTTSAPI as ProviderMiniMaxTTSAPI,
+                )
+            case "volcengine_tts":
+                from .sources.volcengine_tts import (
+                    ProviderVolcengineTTS as ProviderVolcengineTTS,
+                )
+            case "gemini_tts":
+                from .sources.gemini_tts_source import (
+                    ProviderGeminiTTSAPI as ProviderGeminiTTSAPI,
+                )
+            case "openai_embedding":
+                from .sources.openai_embedding_source import (
+                    OpenAIEmbeddingProvider as OpenAIEmbeddingProvider,
+                )
+            case "gemini_embedding":
+                from .sources.gemini_embedding_source import (
+                    GeminiEmbeddingProvider as GeminiEmbeddingProvider,
+                )
+            case "vllm_rerank":
+                from .sources.vllm_rerank_source import (
+                    VLLMRerankProvider as VLLMRerankProvider,
+                )
+            case "xinference_rerank":
+                from .sources.xinference_rerank_source import (
+                    XinferenceRerankProvider as XinferenceRerankProvider,
+                )
+            case "bailian_rerank":
+                from .sources.bailian_rerank_source import (
+                    BailianRerankProvider as BailianRerankProvider,
+                )
+
+    def get_merged_provider_config(self, provider_config: dict) -> dict:
+        """获取 provider 配置和 provider_source 配置合并后的结果
+
+        Returns:
+            dict: 合并后的 provider 配置，key 为 provider id，value 为合并后的配置字典
+        """
+        pc = copy.deepcopy(provider_config)
+        provider_source_id = pc.get("provider_source_id", "")
+        if provider_source_id:
+            provider_source = None
+            for ps in self.provider_sources_config:
+                if ps.get("id") == provider_source_id:
+                    provider_source = ps
+                    break
+
+            if provider_source:
+                # 合并配置，provider 的配置优先级更高
+                merged_config = {**provider_source, **pc}
+                # 保持 id 为 provider 的 id，而不是 source 的 id
+                merged_config["id"] = pc["id"]
+                pc = merged_config
+        return pc
+
     async def load_provider(self, provider_config: dict):
+        # 如果 provider_source_id 存在且不为空，则从 provider_sources 中找到对应的配置并合并
+        provider_config = self.get_merged_provider_config(provider_config)
+
         if not provider_config["enable"]:
             logger.info(f"Provider {provider_config['id']} is disabled, skipping")
             return
@@ -264,99 +403,7 @@ class ProviderManager:
 
         # 动态导入
         try:
-            match provider_config["type"]:
-                case "openai_chat_completion":
-                    from .sources.openai_source import (
-                        ProviderOpenAIOfficial as ProviderOpenAIOfficial,
-                    )
-                case "zhipu_chat_completion":
-                    from .sources.zhipu_source import ProviderZhipu as ProviderZhipu
-                case "groq_chat_completion":
-                    from .sources.groq_source import ProviderGroq as ProviderGroq
-                case "anthropic_chat_completion":
-                    from .sources.anthropic_source import (
-                        ProviderAnthropic as ProviderAnthropic,
-                    )
-                case "googlegenai_chat_completion":
-                    from .sources.gemini_source import (
-                        ProviderGoogleGenAI as ProviderGoogleGenAI,
-                    )
-                case "sensevoice_stt_selfhost":
-                    from .sources.sensevoice_selfhosted_source import (
-                        ProviderSenseVoiceSTTSelfHost as ProviderSenseVoiceSTTSelfHost,
-                    )
-                case "openai_whisper_api":
-                    from .sources.whisper_api_source import (
-                        ProviderOpenAIWhisperAPI as ProviderOpenAIWhisperAPI,
-                    )
-                case "openai_whisper_selfhost":
-                    from .sources.whisper_selfhosted_source import (
-                        ProviderOpenAIWhisperSelfHost as ProviderOpenAIWhisperSelfHost,
-                    )
-                case "xinference_stt":
-                    from .sources.xinference_stt_provider import (
-                        ProviderXinferenceSTT as ProviderXinferenceSTT,
-                    )
-                case "openai_tts_api":
-                    from .sources.openai_tts_api_source import (
-                        ProviderOpenAITTSAPI as ProviderOpenAITTSAPI,
-                    )
-                case "edge_tts":
-                    from .sources.edge_tts_source import (
-                        ProviderEdgeTTS as ProviderEdgeTTS,
-                    )
-                case "gsv_tts_selfhost":
-                    from .sources.gsv_selfhosted_source import (
-                        ProviderGSVTTS as ProviderGSVTTS,
-                    )
-                case "gsvi_tts_api":
-                    from .sources.gsvi_tts_source import (
-                        ProviderGSVITTS as ProviderGSVITTS,
-                    )
-                case "fishaudio_tts_api":
-                    from .sources.fishaudio_tts_api_source import (
-                        ProviderFishAudioTTSAPI as ProviderFishAudioTTSAPI,
-                    )
-                case "dashscope_tts":
-                    from .sources.dashscope_tts import (
-                        ProviderDashscopeTTSAPI as ProviderDashscopeTTSAPI,
-                    )
-                case "azure_tts":
-                    from .sources.azure_tts_source import (
-                        AzureTTSProvider as AzureTTSProvider,
-                    )
-                case "minimax_tts_api":
-                    from .sources.minimax_tts_api_source import (
-                        ProviderMiniMaxTTSAPI as ProviderMiniMaxTTSAPI,
-                    )
-                case "volcengine_tts":
-                    from .sources.volcengine_tts import (
-                        ProviderVolcengineTTS as ProviderVolcengineTTS,
-                    )
-                case "gemini_tts":
-                    from .sources.gemini_tts_source import (
-                        ProviderGeminiTTSAPI as ProviderGeminiTTSAPI,
-                    )
-                case "openai_embedding":
-                    from .sources.openai_embedding_source import (
-                        OpenAIEmbeddingProvider as OpenAIEmbeddingProvider,
-                    )
-                case "gemini_embedding":
-                    from .sources.gemini_embedding_source import (
-                        GeminiEmbeddingProvider as GeminiEmbeddingProvider,
-                    )
-                case "vllm_rerank":
-                    from .sources.vllm_rerank_source import (
-                        VLLMRerankProvider as VLLMRerankProvider,
-                    )
-                case "xinference_rerank":
-                    from .sources.xinference_rerank_source import (
-                        XinferenceRerankProvider as XinferenceRerankProvider,
-                    )
-                case "bailian_rerank":
-                    from .sources.bailian_rerank_source import (
-                        BailianRerankProvider as BailianRerankProvider,
-                    )
+            self.dynamic_import_provider(provider_config["type"])
         except (ImportError, ModuleNotFoundError) as e:
             logger.critical(
                 f"加载 {provider_config['type']}({provider_config['id']}) 提供商适配器失败：{e}。可能是因为有未安装的依赖。",
@@ -499,6 +546,7 @@ class ProviderManager:
 
             # 和配置文件保持同步
             self.providers_config = astrbot_config["provider"]
+            self.provider_sources_config = astrbot_config.get("provider_sources", [])
             config_ids = [provider["id"] for provider in self.providers_config]
             logger.info(f"providers in user's config: {config_ids}")
             for key in list(self.inst_map.keys()):
@@ -570,6 +618,68 @@ class ProviderManager:
             )
             del self.inst_map[provider_id]
 
+    async def delete_provider(
+        self, provider_id: str | None = None, provider_source_id: str | None = None
+    ):
+        """Delete provider and/or provider source from config and terminate the instances. Config will be saved after deletion."""
+        async with self.resource_lock:
+            # delete from config
+            target_prov_ids = []
+            if provider_id:
+                target_prov_ids.append(provider_id)
+            else:
+                for prov in self.providers_config:
+                    if prov.get("provider_source_id") == provider_source_id:
+                        target_prov_ids.append(prov.get("id"))
+            config = self.acm.default_conf
+            for tpid in target_prov_ids:
+                await self.terminate_provider(tpid)
+                config["provider"] = [
+                    prov for prov in config["provider"] if prov.get("id") != tpid
+                ]
+            config.save_config()
+            logger.info(f"Provider {target_prov_ids} 已从配置中删除。")
+
+    async def update_provider(self, origin_provider_id: str, new_config: dict):
+        """Update provider config and reload the instance. Config will be saved after update."""
+        async with self.resource_lock:
+            npid = new_config.get("id", None)
+            if not npid:
+                raise ValueError("New provider config must have an 'id' field")
+            config = self.acm.default_conf
+            for provider in config["provider"]:
+                if (
+                    provider.get("id", None) == npid
+                    and provider.get("id", None) != origin_provider_id
+                ):
+                    raise ValueError(f"Provider ID {npid} already exists")
+            # update config
+            for idx, provider in enumerate(config["provider"]):
+                if provider.get("id", None) == origin_provider_id:
+                    config["provider"][idx] = new_config
+                    break
+            else:
+                raise ValueError(f"Provider ID {origin_provider_id} not found")
+            config.save_config()
+            # reload instance
+            await self.reload(new_config)
+
+    async def create_provider(self, new_config: dict):
+        """Add new provider config and load the instance. Config will be saved after addition."""
+        async with self.resource_lock:
+            npid = new_config.get("id", None)
+            if not npid:
+                raise ValueError("New provider config must have an 'id' field")
+            config = self.acm.default_conf
+            for provider in config["provider"]:
+                if provider.get("id", None) == npid:
+                    raise ValueError(f"Provider ID {npid} already exists")
+            # add to config
+            config["provider"].append(new_config)
+            config.save_config()
+            # load instance
+            await self.load_provider(new_config)
+
     async def terminate(self):
         for provider_inst in self.provider_insts:
             if hasattr(provider_inst, "terminate"):

astrbot/core/provider/provider.py

@@ -4,7 +4,7 @@ import os
 from collections.abc import AsyncGenerator
 from typing import TypeAlias, Union
 
-from astrbot.core.agent.message import Message
+from astrbot.core.agent.message import ContentPart, Message
 from astrbot.core.agent.tool import ToolSet
 from astrbot.core.provider.entities import (
     LLMResponse,
@@ -103,6 +103,7 @@ class Provider(AbstractProvider):
         system_prompt: str | None = None,
         tool_calls_result: ToolCallsResult | list[ToolCallsResult] | None = None,
         model: str | None = None,
+        extra_user_content_parts: list[ContentPart] | None = None,
         **kwargs,
     ) -> LLMResponse:
         """获得 LLM 的文本对话结果。会使用当前的模型进行对话。
@@ -114,6 +115,7 @@ class Provider(AbstractProvider):
             tools: tool set
             contexts: 上下文，和 prompt 二选一使用
             tool_calls_result: 回传给 LLM 的工具调用结果。参考: https://platform.openai.com/docs/guides/function-calling
+            extra_user_content_parts: 额外的内容块列表，用于在用户消息后添加额外的文本块（如系统提醒、指令等）
             kwargs: 其他参数
 
         Notes:

astrbot/core/provider/sources/anthropic_source.py

@@ -6,10 +6,13 @@ from mimetypes import guess_type
 import anthropic
 from anthropic import AsyncAnthropic
 from anthropic.types import Message
+from anthropic.types.message_delta_usage import MessageDeltaUsage
+from anthropic.types.usage import Usage
 
 from astrbot import logger
 from astrbot.api.provider import Provider
-from astrbot.core.provider.entities import LLMResponse
+from astrbot.core.agent.message import ContentPart, ImageURLPart, TextPart
+from astrbot.core.provider.entities import LLMResponse, TokenUsage
 from astrbot.core.provider.func_tool_manager import ToolSet
 from astrbot.core.utils.io import download_image_by_url
 
@@ -45,7 +48,7 @@ class ProviderAnthropic(Provider):
             base_url=self.base_url,
         )
 
-        self.set_model(provider_config["model_config"]["model"])
+        self.set_model(provider_config.get("model", "unknown"))
 
     def _prepare_payload(self, messages: list[dict]):
         """准备 Anthropic API 的请求 payload
@@ -66,7 +69,7 @@ class ProviderAnthropic(Provider):
                 blocks = []
                 if isinstance(message["content"], str):
                     blocks.append({"type": "text", "text": message["content"]})
-                if "tool_calls" in message:
+                if "tool_calls" in message and isinstance(message["tool_calls"], list):
                     for tool_call in message["tool_calls"]:
                         blocks.append(  # noqa: PERF401
                             {
@@ -107,12 +110,35 @@ class ProviderAnthropic(Provider):
 
         return system_prompt, new_messages
 
+    def _extract_usage(self, usage: Usage) -> TokenUsage:
+        # https://docs.claude.com/en/docs/build-with-claude/prompt-caching#tracking-cache-performance
+        return TokenUsage(
+            input_other=usage.input_tokens or 0,
+            input_cached=usage.cache_read_input_tokens or 0,
+            output=usage.output_tokens,
+        )
+
+    def _update_usage(self, token_usage: TokenUsage, usage: MessageDeltaUsage) -> None:
+        if usage.input_tokens is not None:
+            token_usage.input_other = usage.input_tokens
+        if usage.cache_read_input_tokens is not None:
+            token_usage.input_cached = usage.cache_read_input_tokens
+        if usage.output_tokens is not None:
+            token_usage.output = usage.output_tokens
+
     async def _query(self, payloads: dict, tools: ToolSet | None) -> LLMResponse:
         if tools:
             if tool_list := tools.get_func_desc_anthropic_style():
                 payloads["tools"] = tool_list
 
-        completion = await self.client.messages.create(**payloads, stream=False)
+        extra_body = self.provider_config.get("custom_extra_body", {})
+
+        if "max_tokens" not in payloads:
+            payloads["max_tokens"] = 1024
+
+        completion = await self.client.messages.create(
+            **payloads, stream=False, extra_body=extra_body
+        )
 
         assert isinstance(completion, Message)
         logger.debug(f"completion: {completion}")
@@ -131,6 +157,10 @@ class ProviderAnthropic(Provider):
                 llm_response.tools_call_args.append(content_block.input)
                 llm_response.tools_call_name.append(content_block.name)
                 llm_response.tools_call_ids.append(content_block.id)
+
+        llm_response.id = completion.id
+        llm_response.usage = self._extract_usage(completion.usage)
+
         # TODO(Soulter): 处理 end_turn 情况
         if not llm_response.completion_text and not llm_response.tools_call_args:
             raise Exception(f"Anthropic API 返回的 completion 无法解析：{completion}。")
@@ -151,10 +181,22 @@ class ProviderAnthropic(Provider):
         # 用于累积最终结果
         final_text = ""
         final_tool_calls = []
+        id = None
+        usage = TokenUsage()
+        extra_body = self.provider_config.get("custom_extra_body", {})
 
-        async with self.client.messages.stream(**payloads) as stream:
+        if "max_tokens" not in payloads:
+            payloads["max_tokens"] = 1024
+
+        async with self.client.messages.stream(
+            **payloads, extra_body=extra_body
+        ) as stream:
             assert isinstance(stream, anthropic.AsyncMessageStream)
             async for event in stream:
+                if event.type == "message_start":
+                    # the usage contains input token usage
+                    id = event.message.id
+                    usage = self._extract_usage(event.message.usage)
                 if event.type == "content_block_start":
                     if event.content_block.type == "text":
                         # 文本块开始
@@ -162,6 +204,8 @@ class ProviderAnthropic(Provider):
                             role="assistant",
                             completion_text="",
                             is_chunk=True,
+                            usage=usage,
+                            id=id,
                         )
                     elif event.content_block.type == "tool_use":
                         # 工具使用块开始，初始化缓冲区
@@ -179,6 +223,8 @@ class ProviderAnthropic(Provider):
                             role="assistant",
                             completion_text=event.delta.text,
                             is_chunk=True,
+                            usage=usage,
+                            id=id,
                         )
                     elif event.delta.type == "input_json_delta":
                         # 工具调用参数增量
@@ -215,6 +261,8 @@ class ProviderAnthropic(Provider):
                                 tools_call_name=[tool_info["name"]],
                                 tools_call_ids=[tool_info["id"]],
                                 is_chunk=True,
+                                usage=usage,
+                                id=id,
                             )
                         except json.JSONDecodeError:
                             # JSON 解析失败，跳过这个工具调用
@@ -223,11 +271,17 @@ class ProviderAnthropic(Provider):
                         # 清理缓冲区
                         del tool_use_buffer[event.index]
 
+                elif event.type == "message_delta":
+                    if event.usage:
+                        self._update_usage(usage, event.usage)
+
         # 返回最终的完整结果
         final_response = LLMResponse(
             role="assistant",
             completion_text=final_text,
             is_chunk=False,
+            usage=usage,
+            id=id,
         )
 
         if final_tool_calls:
@@ -249,13 +303,16 @@ class ProviderAnthropic(Provider):
         system_prompt=None,
         tool_calls_result=None,
         model=None,
+        extra_user_content_parts=None,
         **kwargs,
     ) -> LLMResponse:
         if contexts is None:
             contexts = []
         new_record = None
         if prompt is not None:
-            new_record = await self.assemble_context(prompt, image_urls)
+            new_record = await self.assemble_context(
+                prompt, image_urls, extra_user_content_parts
+            )
         context_query = self._ensure_message_to_dicts(contexts)
         if new_record:
             context_query.append(new_record)
@@ -277,10 +334,9 @@ class ProviderAnthropic(Provider):
 
         system_prompt, new_messages = self._prepare_payload(context_query)
 
-        model_config = self.provider_config.get("model_config", {})
-        model_config["model"] = model or self.get_model()
+        model = model or self.get_model()
 
-        payloads = {"messages": new_messages, **model_config}
+        payloads = {"messages": new_messages, "model": model}
 
         # Anthropic has a different way of handling system prompts
         if system_prompt:
@@ -290,28 +346,30 @@ class ProviderAnthropic(Provider):
         try:
             llm_response = await self._query(payloads, func_tool)
         except Exception as e:
-            # logger.error(f"发生了错误。Provider 配置如下: {model_config}")
             raise e
 
         return llm_response
 
     async def text_chat_stream(
         self,
-        prompt,
+        prompt=None,
         session_id=None,
-        image_urls=...,
+        image_urls=None,
         func_tool=None,
-        contexts=...,
+        contexts=None,
         system_prompt=None,
         tool_calls_result=None,
         model=None,
+        extra_user_content_parts=None,
         **kwargs,
     ):
         if contexts is None:
             contexts = []
         new_record = None
         if prompt is not None:
-            new_record = await self.assemble_context(prompt, image_urls)
+            new_record = await self.assemble_context(
+                prompt, image_urls, extra_user_content_parts
+            )
         context_query = self._ensure_message_to_dicts(contexts)
         if new_record:
             context_query.append(new_record)
@@ -332,10 +390,9 @@ class ProviderAnthropic(Provider):
 
         system_prompt, new_messages = self._prepare_payload(context_query)
 
-        model_config = self.provider_config.get("model_config", {})
-        model_config["model"] = model or self.get_model()
+        model = model or self.get_model()
 
-        payloads = {"messages": new_messages, **model_config}
+        payloads = {"messages": new_messages, "model": model}
 
         # Anthropic has a different way of handling system prompts
         if system_prompt:
@@ -344,15 +401,15 @@ class ProviderAnthropic(Provider):
         async for llm_response in self._query_stream(payloads, func_tool):
             yield llm_response
 
-    async def assemble_context(self, text: str, image_urls: list[str] | None = None):
+    async def assemble_context(
+        self,
+        text: str,
+        image_urls: list[str] | None = None,
+        extra_user_content_parts: list[ContentPart] | None = None,
+    ):
         """组装上下文，支持文本和图片"""
-        if not image_urls:
-            return {"role": "user", "content": text}
 
-        content = []
-        content.append({"type": "text", "text": text})
-
-        for image_url in image_urls:
+        async def resolve_image_url(image_url: str) -> dict | None:
             if image_url.startswith("http"):
                 image_path = await download_image_by_url(image_url)
                 image_data = await self.encode_image_bs64(image_path)
@@ -364,28 +421,68 @@ class ProviderAnthropic(Provider):
 
             if not image_data:
                 logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
-                continue
+                return None
 
             # Get mime type for the image
             mime_type, _ = guess_type(image_url)
             if not mime_type:
                 mime_type = "image/jpeg"  # Default to JPEG if can't determine
 
-            content.append(
-                {
-                    "type": "image",
-                    "source": {
-                        "type": "base64",
-                        "media_type": mime_type,
-                        "data": (
-                            image_data.split("base64,")[1]
-                            if "base64," in image_data
-                            else image_data
-                        ),
-                    },
+            return {
+                "type": "image",
+                "source": {
+                    "type": "base64",
+                    "media_type": mime_type,
+                    "data": (
+                        image_data.split("base64,")[1]
+                        if "base64," in image_data
+                        else image_data
+                    ),
                 },
-            )
+            }
 
+        content = []
+
+        # 1. 用户原始发言（OpenAI 建议：用户发言在前）
+        if text:
+            content.append({"type": "text", "text": text})
+        elif image_urls:
+            # 如果没有文本但有图片，添加占位文本
+            content.append({"type": "text", "text": "[图片]"})
+        elif extra_user_content_parts:
+            # 如果只有额外内容块，也需要添加占位文本
+            content.append({"type": "text", "text": " "})
+
+        # 2. 额外的内容块（系统提醒、指令等）
+        if extra_user_content_parts:
+            for block in extra_user_content_parts:
+                if isinstance(block, TextPart):
+                    content.append({"type": "text", "text": block.text})
+                elif isinstance(block, ImageURLPart):
+                    image_dict = await resolve_image_url(block.image_url.url)
+                    if image_dict:
+                        content.append(image_dict)
+                else:
+                    raise ValueError(f"不支持的额外内容块类型: {type(block)}")
+
+        # 3. 图片内容
+        if image_urls:
+            for image_url in image_urls:
+                image_dict = await resolve_image_url(image_url)
+                if image_dict:
+                    content.append(image_dict)
+
+        # 如果只有主文本且没有额外内容块和图片，返回简单格式以保持向后兼容
+        if (
+            text
+            and not extra_user_content_parts
+            and not image_urls
+            and len(content) == 1
+            and content[0]["type"] == "text"
+        ):
+            return {"role": "user", "content": content[0]["text"]}
+
+        # 否则返回多模态格式
         return {"role": "user", "content": content}
 
     async def encode_image_bs64(self, image_url: str) -> str:

astrbot/core/provider/sources/fishaudio_tts_api_source.py

@@ -56,10 +56,14 @@ class ProviderFishAudioTTSAPI(TTSProvider):
             "api_base",
             "https://api.fish-audio.cn/v1",
         )
+        try:
+            self.timeout: int = int(provider_config.get("timeout", 20))
+        except ValueError:
+            self.timeout = 20
         self.headers = {
             "Authorization": f"Bearer {self.chosen_api_key}",
         }
-        self.set_model(provider_config["model"])
+        self.set_model(provider_config.get("model", None))
 
     async def _get_reference_id_by_character(self, character: str) -> str | None:
         """获取角色的reference_id
@@ -135,17 +139,21 @@ class ProviderFishAudioTTSAPI(TTSProvider):
         path = os.path.join(temp_dir, f"fishaudio_tts_api_{uuid.uuid4()}.wav")
         self.headers["content-type"] = "application/msgpack"
         request = await self._generate_request(text)
-        async with AsyncClient(base_url=self.api_base).stream(
+        async with AsyncClient(base_url=self.api_base, timeout=self.timeout).stream(
             "POST",
             "/tts",
             headers=self.headers,
             content=ormsgpack.packb(request, option=ormsgpack.OPT_SERIALIZE_PYDANTIC),
         ) as response:
-            if response.headers["content-type"] == "audio/wav":
+            if response.status_code == 200 and response.headers.get(
+                "content-type", ""
+            ).startswith("audio/"):
                 with open(path, "wb") as f:
                     async for chunk in response.aiter_bytes():
                         f.write(chunk)
                 return path
-            body = await response.aread()
-            text = body.decode("utf-8", errors="replace")
-            raise Exception(f"Fish Audio API请求失败: {text}")
+            error_bytes = await response.aread()
+            error_text = error_bytes.decode("utf-8", errors="replace")[:1024]
+            raise Exception(
+                f"Fish Audio API请求失败: 状态码 {response.status_code}, 响应内容: {error_text}"
+            )

astrbot/core/provider/sources/gemini_source.py

@@ -13,8 +13,9 @@ from google.genai.errors import APIError
 import astrbot.core.message.components as Comp
 from astrbot import logger
 from astrbot.api.provider import Provider
+from astrbot.core.agent.message import ContentPart, ImageURLPart, TextPart
 from astrbot.core.message.message_event_result import MessageChain
-from astrbot.core.provider.entities import LLMResponse
+from astrbot.core.provider.entities import LLMResponse, TokenUsage
 from astrbot.core.provider.func_tool_manager import ToolSet
 from astrbot.core.utils.io import download_image_by_url
 
@@ -68,7 +69,7 @@ class ProviderGoogleGenAI(Provider):
             self.api_base = self.api_base[:-1]
 
         self._init_client()
-        self.set_model(provider_config["model_config"]["model"])
+        self.set_model(provider_config.get("model", "unknown"))
         self._init_safety_settings()
 
     def _init_client(self) -> None:
@@ -138,7 +139,7 @@ class ProviderGoogleGenAI(Provider):
             modalities = ["TEXT"]
 
         tool_list: list[types.Tool] | None = []
-        model_name = self.get_model()
+        model_name = cast(str, payloads.get("model", self.get_model()))
         native_coderunner = self.provider_config.get("gm_native_coderunner", False)
         native_search = self.provider_config.get("gm_native_search", False)
         url_context = self.provider_config.get("gm_url_context", False)
@@ -197,6 +198,53 @@ class ProviderGoogleGenAI(Provider):
                 types.Tool(function_declarations=func_desc["function_declarations"]),
             ]
 
+        # oper thinking config
+        thinking_config = None
+        if model_name in [
+            "gemini-2.5-pro",
+            "gemini-2.5-pro-preview",
+            "gemini-2.5-flash",
+            "gemini-2.5-flash-preview",
+            "gemini-2.5-flash-lite",
+            "gemini-2.5-flash-lite-preview",
+            "gemini-robotics-er-1.5-preview",
+            "gemini-live-2.5-flash-preview-native-audio-09-2025",
+        ]:
+            # The thinkingBudget parameter, introduced with the Gemini 2.5 series
+            thinking_budget = self.provider_config.get("gm_thinking_config", {}).get(
+                "budget", 0
+            )
+            if thinking_budget is not None:
+                thinking_config = types.ThinkingConfig(
+                    thinking_budget=thinking_budget,
+                )
+        elif model_name in [
+            "gemini-3-pro",
+            "gemini-3-pro-preview",
+            "gemini-3-flash",
+            "gemini-3-flash-preview",
+            "gemini-3-flash-lite",
+            "gemini-3-flash-lite-preview",
+        ]:
+            # The thinkingLevel parameter, recommended for Gemini 3 models and onwards
+            # Gemini 2.5 series models don't support thinkingLevel; use thinkingBudget instead.
+            thinking_level = self.provider_config.get("gm_thinking_config", {}).get(
+                "level", "HIGH"
+            )
+            if thinking_level and isinstance(thinking_level, str):
+                thinking_level = thinking_level.upper()
+                if thinking_level not in ["MINIMAL", "LOW", "MEDIUM", "HIGH"]:
+                    logger.warning(
+                        f"Invalid thinking level: {thinking_level}, using HIGH"
+                    )
+                    thinking_level = "HIGH"
+                level = types.ThinkingLevel(thinking_level)
+                thinking_config = types.ThinkingConfig()
+                if not hasattr(types.ThinkingConfig, "thinking_level"):
+                    setattr(types.ThinkingConfig, "thinking_level", level)
+                else:
+                    thinking_config.thinking_level = level
+
         return types.GenerateContentConfig(
             system_instruction=system_instruction,
             temperature=temperature,
@@ -216,22 +264,7 @@ class ProviderGoogleGenAI(Provider):
             response_modalities=modalities,
             tools=cast(types.ToolListUnion | None, tool_list),
             safety_settings=self.safety_settings if self.safety_settings else None,
-            thinking_config=(
-                types.ThinkingConfig(
-                    thinking_budget=min(
-                        int(
-                            self.provider_config.get("gm_thinking_config", {}).get(
-                                "budget",
-                                0,
-                            ),
-                        ),
-                        24576,
-                    ),
-                )
-                if "gemini-2.5-flash" in self.get_model()
-                and hasattr(types.ThinkingConfig, "thinking_budget")
-                else None
-            ),
+            thinking_config=thinking_config,
             automatic_function_calling=types.AutomaticFunctionCallingConfig(
                 disable=True,
             ),
@@ -347,6 +380,16 @@ class ProviderGoogleGenAI(Provider):
         ]
         return "".join(thought_buf).strip()
 
+    def _extract_usage(
+        self, usage_metadata: types.GenerateContentResponseUsageMetadata
+    ) -> TokenUsage:
+        """Extract usage from candidate"""
+        return TokenUsage(
+            input_other=usage_metadata.prompt_token_count or 0,
+            input_cached=usage_metadata.cached_content_token_count or 0,
+            output=usage_metadata.candidates_token_count or 0,
+        )
+
     def _process_content_parts(
         self,
         candidate: types.Candidate,
@@ -431,6 +474,8 @@ class ProviderGoogleGenAI(Provider):
             None,
         )
 
+        model = payloads.get("model", self.get_model())
+
         modalities = ["TEXT"]
         if self.provider_config.get("gm_resp_image_modal", False):
             modalities.append("IMAGE")
@@ -449,7 +494,7 @@ class ProviderGoogleGenAI(Provider):
                     temperature,
                 )
                 result = await self.client.models.generate_content(
-                    model=self.get_model(),
+                    model=model,
                     contents=cast(types.ContentListUnion, conversation),
                     config=config,
                 )
@@ -475,11 +520,11 @@ class ProviderGoogleGenAI(Provider):
                     e.message = ""
                 if "Developer instruction is not enabled" in e.message:
                     logger.warning(
-                        f"{self.get_model()} 不支持 system prompt，已自动去除(影响人格设置)",
+                        f"{model} 不支持 system prompt，已自动去除(影响人格设置)",
                     )
                     system_instruction = None
                 elif "Function calling is not enabled" in e.message:
-                    logger.warning(f"{self.get_model()} 不支持函数调用，已自动去除")
+                    logger.warning(f"{model} 不支持函数调用，已自动去除")
                     tools = None
                 elif (
                     "Multi-modal output is not supported" in e.message
@@ -488,7 +533,7 @@ class ProviderGoogleGenAI(Provider):
                     or "only supports text output" in e.message
                 ):
                     logger.warning(
-                        f"{self.get_model()} 不支持多模态输出，降级为文本模态",
+                        f"{model} 不支持多模态输出，降级为文本模态",
                     )
                     modalities = ["TEXT"]
                 else:
@@ -501,6 +546,9 @@ class ProviderGoogleGenAI(Provider):
             result.candidates[0],
             llm_response,
         )
+        llm_response.id = result.response_id
+        if result.usage_metadata:
+            llm_response.usage = self._extract_usage(result.usage_metadata)
         return llm_response
 
     async def _query_stream(
@@ -513,7 +561,7 @@ class ProviderGoogleGenAI(Provider):
             (msg["content"] for msg in payloads["messages"] if msg["role"] == "system"),
             None,
         )
-
+        model = payloads.get("model", self.get_model())
         conversation = self._prepare_conversation(payloads)
 
         result = None
@@ -525,7 +573,7 @@ class ProviderGoogleGenAI(Provider):
                     system_instruction,
                 )
                 result = await self.client.models.generate_content_stream(
-                    model=self.get_model(),
+                    model=model,
                     contents=cast(types.ContentListUnion, conversation),
                     config=config,
                 )
@@ -535,11 +583,11 @@ class ProviderGoogleGenAI(Provider):
                     e.message = ""
                 if "Developer instruction is not enabled" in e.message:
                     logger.warning(
-                        f"{self.get_model()} 不支持 system prompt，已自动去除(影响人格设置)",
+                        f"{model} 不支持 system prompt，已自动去除(影响人格设置)",
                     )
                     system_instruction = None
                 elif "Function calling is not enabled" in e.message:
-                    logger.warning(f"{self.get_model()} 不支持函数调用，已自动去除")
+                    logger.warning(f"{model} 不支持函数调用，已自动去除")
                     tools = None
                 else:
                     raise
@@ -569,6 +617,9 @@ class ProviderGoogleGenAI(Provider):
                     chunk.candidates[0],
                     llm_response,
                 )
+                llm_response.id = chunk.response_id
+                if chunk.usage_metadata:
+                    llm_response.usage = self._extract_usage(chunk.usage_metadata)
                 yield llm_response
                 return
 
@@ -596,6 +647,9 @@ class ProviderGoogleGenAI(Provider):
                         chunk.candidates[0],
                         final_response,
                     )
+                    final_response.id = chunk.response_id
+                    if chunk.usage_metadata:
+                        final_response.usage = self._extract_usage(chunk.usage_metadata)
                 break
 
         # Yield final complete response with accumulated text
@@ -627,13 +681,16 @@ class ProviderGoogleGenAI(Provider):
         system_prompt=None,
         tool_calls_result=None,
         model=None,
+        extra_user_content_parts=None,
         **kwargs,
     ) -> LLMResponse:
         if contexts is None:
             contexts = []
         new_record = None
         if prompt is not None:
-            new_record = await self.assemble_context(prompt, image_urls)
+            new_record = await self.assemble_context(
+                prompt, image_urls, extra_user_content_parts
+            )
         context_query = self._ensure_message_to_dicts(contexts)
         if new_record:
             context_query.append(new_record)
@@ -652,10 +709,9 @@ class ProviderGoogleGenAI(Provider):
                 for tcr in tool_calls_result:
                     context_query.extend(tcr.to_openai_messages())
 
-        model_config = self.provider_config.get("model_config", {})
-        model_config["model"] = model or self.get_model()
+        model = model or self.get_model()
 
-        payloads = {"messages": context_query, **model_config}
+        payloads = {"messages": context_query, "model": model}
 
         retry = 10
         keys = self.api_keys.copy()
@@ -680,13 +736,16 @@ class ProviderGoogleGenAI(Provider):
         system_prompt=None,
         tool_calls_result=None,
         model=None,
+        extra_user_content_parts=None,
         **kwargs,
     ) -> AsyncGenerator[LLMResponse, None]:
         if contexts is None:
             contexts = []
         new_record = None
         if prompt is not None:
-            new_record = await self.assemble_context(prompt, image_urls)
+            new_record = await self.assemble_context(
+                prompt, image_urls, extra_user_content_parts
+            )
         context_query = self._ensure_message_to_dicts(contexts)
         if new_record:
             context_query.append(new_record)
@@ -705,10 +764,9 @@ class ProviderGoogleGenAI(Provider):
                 for tcr in tool_calls_result:
                     context_query.extend(tcr.to_openai_messages())
 
-        model_config = self.provider_config.get("model_config", {})
-        model_config["model"] = model or self.get_model()
+        model = model or self.get_model()
 
-        payloads = {"messages": context_query, **model_config}
+        payloads = {"messages": context_query, "model": model}
 
         retry = 10
         keys = self.api_keys.copy()
@@ -746,33 +804,75 @@ class ProviderGoogleGenAI(Provider):
         self.chosen_api_key = key
         self._init_client()
 
-    async def assemble_context(self, text: str, image_urls: list[str] | None = None):
+    async def assemble_context(
+        self,
+        text: str,
+        image_urls: list[str] | None = None,
+        extra_user_content_parts: list[ContentPart] | None = None,
+    ):
         """组装上下文。"""
-        if image_urls:
-            user_content = {
-                "role": "user",
-                "content": [{"type": "text", "text": text if text else "[图片]"}],
+
+        async def resolve_image_part(image_url: str) -> dict | None:
+            if image_url.startswith("http"):
+                image_path = await download_image_by_url(image_url)
+                image_data = await self.encode_image_bs64(image_path)
+            elif image_url.startswith("file:///"):
+                image_path = image_url.replace("file:///", "")
+                image_data = await self.encode_image_bs64(image_path)
+            else:
+                image_data = await self.encode_image_bs64(image_url)
+            if not image_data:
+                logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
+                return None
+            return {
+                "type": "image_url",
+                "image_url": {"url": image_data},
             }
-            for image_url in image_urls:
-                if image_url.startswith("http"):
-                    image_path = await download_image_by_url(image_url)
-                    image_data = await self.encode_image_bs64(image_path)
-                elif image_url.startswith("file:///"):
-                    image_path = image_url.replace("file:///", "")
-                    image_data = await self.encode_image_bs64(image_path)
+
+        # 构建内容块列表
+        content_blocks = []
+
+        # 1. 用户原始发言（OpenAI 建议：用户发言在前）
+        if text:
+            content_blocks.append({"type": "text", "text": text})
+        elif image_urls:
+            # 如果没有文本但有图片，添加占位文本
+            content_blocks.append({"type": "text", "text": "[图片]"})
+        elif extra_user_content_parts:
+            # 如果只有额外内容块，也需要添加占位文本
+            content_blocks.append({"type": "text", "text": " "})
+
+        # 2. 额外的内容块（系统提醒、指令等）
+        if extra_user_content_parts:
+            for part in extra_user_content_parts:
+                if isinstance(part, TextPart):
+                    content_blocks.append({"type": "text", "text": part.text})
+                elif isinstance(part, ImageURLPart):
+                    image_part = await resolve_image_part(part.image_url.url)
+                    if image_part:
+                        content_blocks.append(image_part)
                 else:
-                    image_data = await self.encode_image_bs64(image_url)
-                if not image_data:
-                    logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
-                    continue
-                user_content["content"].append(
-                    {
-                        "type": "image_url",
-                        "image_url": {"url": image_data},
-                    },
-                )
-            return user_content
-        return {"role": "user", "content": text}
+                    raise ValueError(f"不支持的额外内容块类型: {type(part)}")
+
+        # 3. 图片内容
+        if image_urls:
+            for image_url in image_urls:
+                image_part = await resolve_image_part(image_url)
+                if image_part:
+                    content_blocks.append(image_part)
+
+        # 如果只有主文本且没有额外内容块和图片，返回简单格式以保持向后兼容
+        if (
+            text
+            and not extra_user_content_parts
+            and not image_urls
+            and len(content_blocks) == 1
+            and content_blocks[0]["type"] == "text"
+        ):
+            return {"role": "user", "content": content_blocks[0]["text"]}
+
+        # 否则返回多模态格式
+        return {"role": "user", "content": content_blocks}
 
     async def encode_image_bs64(self, image_url: str) -> str:
         """将图片转换为 base64"""

astrbot/core/provider/sources/openai_source.py

@@ -12,14 +12,15 @@ from openai._exceptions import NotFoundError
 from openai.lib.streaming.chat._completions import ChatCompletionStreamState
 from openai.types.chat.chat_completion import ChatCompletion
 from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
+from openai.types.completion_usage import CompletionUsage
 
 import astrbot.core.message.components as Comp
 from astrbot import logger
 from astrbot.api.provider import Provider
-from astrbot.core.agent.message import Message
+from astrbot.core.agent.message import ContentPart, ImageURLPart, Message, TextPart
 from astrbot.core.agent.tool import ToolSet
 from astrbot.core.message.message_event_result import MessageChain
-from astrbot.core.provider.entities import LLMResponse, ToolCallsResult
+from astrbot.core.provider.entities import LLMResponse, TokenUsage, ToolCallsResult
 from astrbot.core.utils.io import download_image_by_url
 
 from ..register import register_provider_adapter
@@ -68,8 +69,7 @@ class ProviderOpenAIOfficial(Provider):
             self.client.chat.completions.create,
         ).parameters.keys()
 
-        model_config = provider_config.get("model_config", {})
-        model = model_config.get("model", "unknown")
+        model = provider_config.get("model", "unknown")
         self.set_model(model)
 
         self.reasoning_key = "reasoning_content"
@@ -208,6 +208,7 @@ class ProviderOpenAIOfficial(Provider):
             # handle the content delta
             reasoning = self._extract_reasoning_content(chunk)
             _y = False
+            llm_response.id = chunk.id
             if reasoning:
                 llm_response.reasoning_content = reasoning
                 _y = True
@@ -217,6 +218,8 @@ class ProviderOpenAIOfficial(Provider):
                     chain=[Comp.Plain(completion_text)],
                 )
                 _y = True
+            if chunk.usage:
+                llm_response.usage = self._extract_usage(chunk.usage)
             if _y:
                 yield llm_response
 
@@ -245,6 +248,15 @@ class ProviderOpenAIOfficial(Provider):
                 reasoning_text = str(reasoning_attr)
         return reasoning_text
 
+    def _extract_usage(self, usage: CompletionUsage) -> TokenUsage:
+        ptd = usage.prompt_tokens_details
+        cached = ptd.cached_tokens if ptd and ptd.cached_tokens else 0
+        return TokenUsage(
+            input_other=usage.prompt_tokens - cached,
+            input_cached=ptd.cached_tokens if ptd and ptd.cached_tokens else 0,
+            output=usage.completion_tokens,
+        )
+
     async def _parse_openai_completion(
         self, completion: ChatCompletion, tools: ToolSet | None
     ) -> LLMResponse:
@@ -321,6 +333,10 @@ class ProviderOpenAIOfficial(Provider):
             raise Exception(f"API 返回的 completion 无法解析：{completion}。")
 
         llm_response.raw_completion = completion
+        llm_response.id = completion.id
+
+        if completion.usage:
+            llm_response.usage = self._extract_usage(completion.usage)
 
         return llm_response
 
@@ -332,6 +348,7 @@ class ProviderOpenAIOfficial(Provider):
         system_prompt: str | None = None,
         tool_calls_result: ToolCallsResult | list[ToolCallsResult] | None = None,
         model: str | None = None,
+        extra_user_content_parts: list[ContentPart] | None = None,
         **kwargs,
     ) -> tuple:
         """准备聊天所需的有效载荷和上下文"""
@@ -339,7 +356,9 @@ class ProviderOpenAIOfficial(Provider):
             contexts = []
         new_record = None
         if prompt is not None:
-            new_record = await self.assemble_context(prompt, image_urls)
+            new_record = await self.assemble_context(
+                prompt, image_urls, extra_user_content_parts
+            )
         context_query = self._ensure_message_to_dicts(contexts)
         if new_record:
             context_query.append(new_record)
@@ -358,10 +377,9 @@ class ProviderOpenAIOfficial(Provider):
                 for tcr in tool_calls_result:
                     context_query.extend(tcr.to_openai_messages())
 
-        model_config = self.provider_config.get("model_config", {})
-        model_config["model"] = model or self.get_model()
+        model = model or self.get_model()
 
-        payloads = {"messages": context_query, **model_config}
+        payloads = {"messages": context_query, "model": model}
 
         # xAI origin search tool inject
         self._maybe_inject_xai_search(payloads, **kwargs)
@@ -461,6 +479,7 @@ class ProviderOpenAIOfficial(Provider):
         system_prompt=None,
         tool_calls_result=None,
         model=None,
+        extra_user_content_parts=None,
         **kwargs,
     ) -> LLMResponse:
         payloads, context_query = await self._prepare_chat_payload(
@@ -470,6 +489,7 @@ class ProviderOpenAIOfficial(Provider):
             system_prompt,
             tool_calls_result,
             model=model,
+            extra_user_content_parts=extra_user_content_parts,
             **kwargs,
         )
 
@@ -609,33 +629,71 @@ class ProviderOpenAIOfficial(Provider):
         self,
         text: str,
         image_urls: list[str] | None = None,
+        extra_user_content_parts: list[ContentPart] | None = None,
     ) -> dict:
         """组装成符合 OpenAI 格式的 role 为 user 的消息段"""
-        if image_urls:
-            user_content = {
-                "role": "user",
-                "content": [{"type": "text", "text": text if text else "[图片]"}],
+
+        async def resolve_image_part(image_url: str) -> dict | None:
+            if image_url.startswith("http"):
+                image_path = await download_image_by_url(image_url)
+                image_data = await self.encode_image_bs64(image_path)
+            elif image_url.startswith("file:///"):
+                image_path = image_url.replace("file:///", "")
+                image_data = await self.encode_image_bs64(image_path)
+            else:
+                image_data = await self.encode_image_bs64(image_url)
+            if not image_data:
+                logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
+                return None
+            return {
+                "type": "image_url",
+                "image_url": {"url": image_data},
             }
-            for image_url in image_urls:
-                if image_url.startswith("http"):
-                    image_path = await download_image_by_url(image_url)
-                    image_data = await self.encode_image_bs64(image_path)
-                elif image_url.startswith("file:///"):
-                    image_path = image_url.replace("file:///", "")
-                    image_data = await self.encode_image_bs64(image_path)
+
+        # 构建内容块列表
+        content_blocks = []
+
+        # 1. 用户原始发言（OpenAI 建议：用户发言在前）
+        if text:
+            content_blocks.append({"type": "text", "text": text})
+        elif image_urls:
+            # 如果没有文本但有图片，添加占位文本
+            content_blocks.append({"type": "text", "text": "[图片]"})
+        elif extra_user_content_parts:
+            # 如果只有额外内容块，也需要添加占位文本
+            content_blocks.append({"type": "text", "text": " "})
+
+        # 2. 额外的内容块（系统提醒、指令等）
+        if extra_user_content_parts:
+            for part in extra_user_content_parts:
+                if isinstance(part, TextPart):
+                    content_blocks.append({"type": "text", "text": part.text})
+                elif isinstance(part, ImageURLPart):
+                    image_part = await resolve_image_part(part.image_url.url)
+                    if image_part:
+                        content_blocks.append(image_part)
                 else:
-                    image_data = await self.encode_image_bs64(image_url)
-                if not image_data:
-                    logger.warning(f"图片 {image_url} 得到的结果为空，将忽略。")
-                    continue
-                user_content["content"].append(
-                    {
-                        "type": "image_url",
-                        "image_url": {"url": image_data},
-                    },
-                )
-            return user_content
-        return {"role": "user", "content": text}
+                    raise ValueError(f"不支持的额外内容块类型: {type(part)}")
+
+        # 3. 图片内容
+        if image_urls:
+            for image_url in image_urls:
+                image_part = await resolve_image_part(image_url)
+                if image_part:
+                    content_blocks.append(image_part)
+
+        # 如果只有主文本且没有额外内容块和图片，返回简单格式以保持向后兼容
+        if (
+            text
+            and not extra_user_content_parts
+            and not image_urls
+            and len(content_blocks) == 1
+            and content_blocks[0]["type"] == "text"
+        ):
+            return {"role": "user", "content": content_blocks[0]["text"]}
+
+        # 否则返回多模态格式
+        return {"role": "user", "content": content_blocks}
 
     async def encode_image_bs64(self, image_url: str) -> str:
         """将图片转换为 base64"""

astrbot/core/star/__init__.py

@@ -2,15 +2,19 @@ from astrbot.core import html_renderer
 from astrbot.core.provider import Provider
 from astrbot.core.star.star_tools import StarTools
 from astrbot.core.utils.command_parser import CommandParserMixin
+from astrbot.core.utils.plugin_kv_store import PluginKVStoreMixin
 
 from .context import Context
 from .star import StarMetadata, star_map, star_registry
 from .star_manager import PluginManager
 
 
-class Star(CommandParserMixin):
+class Star(CommandParserMixin, PluginKVStoreMixin):
     """所有插件（Star）的父类，所有插件都应该继承于这个类"""
 
+    author: str
+    name: str
+
     def __init__(self, context: Context, config: dict | None = None):
         StarTools.initialize(context)
         self.context = context

astrbot/core/star/command_management.py

@@ -0,0 +1,496 @@
+from __future__ import annotations
+
+from collections import defaultdict
+from dataclasses import dataclass, field
+from typing import Any
+
+from astrbot.core import db_helper, logger
+from astrbot.core.db.po import CommandConfig
+from astrbot.core.star.filter.command import CommandFilter
+from astrbot.core.star.filter.command_group import CommandGroupFilter
+from astrbot.core.star.filter.permission import PermissionType, PermissionTypeFilter
+from astrbot.core.star.star import star_map
+from astrbot.core.star.star_handler import StarHandlerMetadata, star_handlers_registry
+
+
+@dataclass
+class CommandDescriptor:
+    handler: StarHandlerMetadata = field(repr=False)
+    filter_ref: CommandFilter | CommandGroupFilter | None = field(
+        default=None,
+        repr=False,
+    )
+    handler_full_name: str = ""
+    handler_name: str = ""
+    plugin_name: str = ""
+    plugin_display_name: str | None = None
+    module_path: str = ""
+    description: str = ""
+    command_type: str = "command"  # "command" | "group" | "sub_command"
+    raw_command_name: str | None = None
+    current_fragment: str | None = None
+    parent_signature: str = ""
+    parent_group_handler: str = ""
+    original_command: str | None = None
+    effective_command: str | None = None
+    aliases: list[str] = field(default_factory=list)
+    permission: str = "everyone"
+    enabled: bool = True
+    is_group: bool = False
+    is_sub_command: bool = False
+    reserved: bool = False
+    config: CommandConfig | None = None
+    has_conflict: bool = False
+    sub_commands: list[CommandDescriptor] = field(default_factory=list)
+
+
+async def sync_command_configs() -> None:
+    """同步指令配置，清理过期配置。"""
+    descriptors = _collect_descriptors(include_sub_commands=False)
+    config_records = await db_helper.get_command_configs()
+    config_map = _bind_configs_to_descriptors(descriptors, config_records)
+    live_handlers = {desc.handler_full_name for desc in descriptors}
+
+    stale_configs = [key for key in config_map if key not in live_handlers]
+    if stale_configs:
+        await db_helper.delete_command_configs(stale_configs)
+
+
+async def toggle_command(handler_full_name: str, enabled: bool) -> CommandDescriptor:
+    descriptor = _build_descriptor_by_full_name(handler_full_name)
+    if not descriptor:
+        raise ValueError("指定的处理函数不存在或不是指令。")
+
+    existing_cfg = await db_helper.get_command_config(handler_full_name)
+    config = await db_helper.upsert_command_config(
+        handler_full_name=handler_full_name,
+        plugin_name=descriptor.plugin_name or "",
+        module_path=descriptor.module_path,
+        original_command=descriptor.original_command or descriptor.handler_name,
+        resolved_command=(
+            existing_cfg.resolved_command
+            if existing_cfg
+            else descriptor.current_fragment
+        ),
+        enabled=enabled,
+        keep_original_alias=False,
+        conflict_key=existing_cfg.conflict_key
+        if existing_cfg and existing_cfg.conflict_key
+        else descriptor.original_command,
+        resolution_strategy=existing_cfg.resolution_strategy if existing_cfg else None,
+        note=existing_cfg.note if existing_cfg else None,
+        extra_data=existing_cfg.extra_data if existing_cfg else None,
+        auto_managed=False,
+    )
+    _bind_descriptor_with_config(descriptor, config)
+    await sync_command_configs()
+    return descriptor
+
+
+async def rename_command(
+    handler_full_name: str,
+    new_fragment: str,
+    aliases: list[str] | None = None,
+) -> CommandDescriptor:
+    descriptor = _build_descriptor_by_full_name(handler_full_name)
+    if not descriptor:
+        raise ValueError("指定的处理函数不存在或不是指令。")
+
+    new_fragment = new_fragment.strip()
+    if not new_fragment:
+        raise ValueError("指令名不能为空。")
+
+    # 校验主指令名
+    candidate_full = _compose_command(descriptor.parent_signature, new_fragment)
+    if _is_command_in_use(handler_full_name, candidate_full):
+        raise ValueError(f"指令名 '{candidate_full}' 已被其他指令占用。")
+
+    # 校验别名
+    if aliases:
+        for alias in aliases:
+            alias = alias.strip()
+            if not alias:
+                continue
+            alias_full = _compose_command(descriptor.parent_signature, alias)
+            if _is_command_in_use(handler_full_name, alias_full):
+                raise ValueError(f"别名 '{alias_full}' 已被其他指令占用。")
+
+    existing_cfg = await db_helper.get_command_config(handler_full_name)
+    merged_extra = dict(existing_cfg.extra_data or {}) if existing_cfg else {}
+    merged_extra["resolved_aliases"] = aliases or []
+
+    config = await db_helper.upsert_command_config(
+        handler_full_name=handler_full_name,
+        plugin_name=descriptor.plugin_name or "",
+        module_path=descriptor.module_path,
+        original_command=descriptor.original_command or descriptor.handler_name,
+        resolved_command=new_fragment,
+        enabled=True if descriptor.enabled else False,
+        keep_original_alias=False,
+        conflict_key=descriptor.original_command,
+        resolution_strategy="manual_rename",
+        note=None,
+        extra_data=merged_extra,
+        auto_managed=False,
+    )
+    _bind_descriptor_with_config(descriptor, config)
+
+    await sync_command_configs()
+    return descriptor
+
+
+async def list_commands() -> list[dict[str, Any]]:
+    descriptors = _collect_descriptors(include_sub_commands=True)
+    config_records = await db_helper.get_command_configs()
+    _bind_configs_to_descriptors(descriptors, config_records)
+
+    conflict_groups = _group_conflicts(descriptors)
+    conflict_handler_names: set[str] = {
+        d.handler_full_name for group in conflict_groups.values() for d in group
+    }
+
+    # 分类，设置冲突标志，将子指令挂载到父指令组
+    group_map: dict[str, CommandDescriptor] = {}
+    sub_commands: list[CommandDescriptor] = []
+    root_commands: list[CommandDescriptor] = []
+
+    for desc in descriptors:
+        desc.has_conflict = desc.handler_full_name in conflict_handler_names
+        if desc.is_group:
+            group_map[desc.handler_full_name] = desc
+        elif desc.is_sub_command:
+            sub_commands.append(desc)
+        else:
+            root_commands.append(desc)
+
+    for sub in sub_commands:
+        if sub.parent_group_handler and sub.parent_group_handler in group_map:
+            group_map[sub.parent_group_handler].sub_commands.append(sub)
+        else:
+            root_commands.append(sub)
+
+    # 指令组 + 普通指令，按 effective_command 字母排序
+    all_commands = list(group_map.values()) + root_commands
+    all_commands.sort(key=lambda d: (d.effective_command or "").lower())
+
+    result = [_descriptor_to_dict(desc) for desc in all_commands]
+    return result
+
+
+async def list_command_conflicts() -> list[dict[str, Any]]:
+    """列出所有冲突的指令组。"""
+    descriptors = _collect_descriptors(include_sub_commands=False)
+    config_records = await db_helper.get_command_configs()
+    _bind_configs_to_descriptors(descriptors, config_records)
+
+    conflict_groups = _group_conflicts(descriptors)
+    details = [
+        {
+            "conflict_key": key,
+            "handlers": [
+                {
+                    "handler_full_name": item.handler_full_name,
+                    "plugin": item.plugin_name,
+                    "current_name": item.effective_command,
+                }
+                for item in group
+            ],
+        }
+        for key, group in conflict_groups.items()
+    ]
+    return details
+
+
+# Internal helpers ----------------------------------------------------------
+
+
+def _collect_descriptors(include_sub_commands: bool) -> list[CommandDescriptor]:
+    """收集指令，按需包含子指令。"""
+    descriptors: list[CommandDescriptor] = []
+    for handler in star_handlers_registry:
+        try:
+            desc = _build_descriptor(handler)
+            if not desc:
+                continue
+            if not include_sub_commands and desc.is_sub_command:
+                continue
+            descriptors.append(desc)
+        except Exception as e:
+            logger.warning(
+                f"解析指令处理函数 {handler.handler_full_name} 失败，跳过该指令。原因: {e!s}"
+            )
+            continue
+    return descriptors
+
+
+def _build_descriptor(handler: StarHandlerMetadata) -> CommandDescriptor | None:
+    filter_ref = _locate_primary_filter(handler)
+    if filter_ref is None:
+        return None
+
+    plugin_meta = star_map.get(handler.handler_module_path)
+    plugin_name = (
+        plugin_meta.name if plugin_meta else None
+    ) or handler.handler_module_path
+    plugin_display = plugin_meta.display_name if plugin_meta else None
+
+    is_sub_command = bool(handler.extras_configs.get("sub_command"))
+    parent_group_handler = ""
+
+    if isinstance(filter_ref, CommandFilter):
+        raw_fragment = getattr(
+            filter_ref, "_original_command_name", filter_ref.command_name
+        )
+        current_fragment = filter_ref.command_name
+        parent_signature = (filter_ref.parent_command_names or [""])[0].strip()
+        # 如果是子指令，尝试找到父指令组的 handler_full_name
+        if is_sub_command and parent_signature:
+            parent_group_handler = _find_parent_group_handler(
+                handler.handler_module_path, parent_signature
+            )
+    else:
+        raw_fragment = getattr(
+            filter_ref, "_original_group_name", filter_ref.group_name
+        )
+        current_fragment = filter_ref.group_name
+        parent_signature = _resolve_group_parent_signature(filter_ref)
+
+    original_command = _compose_command(parent_signature, raw_fragment)
+    effective_command = _compose_command(parent_signature, current_fragment)
+
+    # 确定 command_type
+    if isinstance(filter_ref, CommandGroupFilter):
+        command_type = "group"
+    elif is_sub_command:
+        command_type = "sub_command"
+    else:
+        command_type = "command"
+
+    descriptor = CommandDescriptor(
+        handler=handler,
+        filter_ref=filter_ref,
+        handler_full_name=handler.handler_full_name,
+        handler_name=handler.handler_name,
+        plugin_name=plugin_name,
+        plugin_display_name=plugin_display,
+        module_path=handler.handler_module_path,
+        description=handler.desc or "",
+        command_type=command_type,
+        raw_command_name=raw_fragment,
+        current_fragment=current_fragment,
+        parent_signature=parent_signature,
+        parent_group_handler=parent_group_handler,
+        original_command=original_command,
+        effective_command=effective_command,
+        aliases=sorted(getattr(filter_ref, "alias", set())),
+        permission=_determine_permission(handler),
+        enabled=handler.enabled,
+        is_group=isinstance(filter_ref, CommandGroupFilter),
+        is_sub_command=is_sub_command,
+        reserved=plugin_meta.reserved if plugin_meta else False,
+    )
+    return descriptor
+
+
+def _build_descriptor_by_full_name(full_name: str) -> CommandDescriptor | None:
+    handler = star_handlers_registry.get_handler_by_full_name(full_name)
+    if not handler:
+        return None
+    return _build_descriptor(handler)
+
+
+def _locate_primary_filter(
+    handler: StarHandlerMetadata,
+) -> CommandFilter | CommandGroupFilter | None:
+    for filter_ref in handler.event_filters:
+        if isinstance(filter_ref, (CommandFilter, CommandGroupFilter)):
+            return filter_ref
+    return None
+
+
+def _determine_permission(handler: StarHandlerMetadata) -> str:
+    for filter_ref in handler.event_filters:
+        if isinstance(filter_ref, PermissionTypeFilter):
+            return (
+                "admin"
+                if filter_ref.permission_type == PermissionType.ADMIN
+                else "member"
+            )
+    return "everyone"
+
+
+def _resolve_group_parent_signature(group_filter: CommandGroupFilter) -> str:
+    signatures: list[str] = []
+    parent = group_filter.parent_group
+    while parent:
+        signatures.append(getattr(parent, "_original_group_name", parent.group_name))
+        parent = parent.parent_group
+    return " ".join(reversed(signatures)).strip()
+
+
+def _find_parent_group_handler(module_path: str, parent_signature: str) -> str:
+    """根据模块路径和父级签名，找到对应的指令组 handler_full_name。"""
+    parent_sig_normalized = parent_signature.strip()
+    for handler in star_handlers_registry:
+        if handler.handler_module_path != module_path:
+            continue
+        filter_ref = _locate_primary_filter(handler)
+        if not isinstance(filter_ref, CommandGroupFilter):
+            continue
+        # 检查该指令组的完整指令名是否匹配 parent_signature
+        group_names = filter_ref.get_complete_command_names()
+        if parent_sig_normalized in group_names:
+            return handler.handler_full_name
+    return ""
+
+
+def _compose_command(parent_signature: str, fragment: str | None) -> str:
+    fragment = (fragment or "").strip()
+    parent_signature = parent_signature.strip()
+    if not parent_signature:
+        return fragment
+    if not fragment:
+        return parent_signature
+    return f"{parent_signature} {fragment}"
+
+
+def _bind_descriptor_with_config(
+    descriptor: CommandDescriptor,
+    config: CommandConfig,
+) -> None:
+    _apply_config_to_descriptor(descriptor, config)
+    _apply_config_to_runtime(descriptor, config)
+
+
+def _apply_config_to_descriptor(
+    descriptor: CommandDescriptor,
+    config: CommandConfig,
+) -> None:
+    descriptor.config = config
+    descriptor.enabled = config.enabled
+
+    if config.original_command:
+        descriptor.original_command = config.original_command
+
+    new_fragment = config.resolved_command or descriptor.current_fragment
+    descriptor.current_fragment = new_fragment
+    descriptor.effective_command = _compose_command(
+        descriptor.parent_signature,
+        new_fragment,
+    )
+
+    extra = config.extra_data or {}
+    resolved_aliases = extra.get("resolved_aliases")
+    if isinstance(resolved_aliases, list):
+        descriptor.aliases = [str(x) for x in resolved_aliases if str(x).strip()]
+
+
+def _apply_config_to_runtime(
+    descriptor: CommandDescriptor,
+    config: CommandConfig,
+) -> None:
+    descriptor.handler.enabled = config.enabled
+    if descriptor.filter_ref:
+        if descriptor.current_fragment:
+            _set_filter_fragment(descriptor.filter_ref, descriptor.current_fragment)
+        extra = config.extra_data or {}
+        resolved_aliases = extra.get("resolved_aliases")
+        if isinstance(resolved_aliases, list):
+            _set_filter_aliases(
+                descriptor.filter_ref,
+                [str(x) for x in resolved_aliases if str(x).strip()],
+            )
+
+
+def _bind_configs_to_descriptors(
+    descriptors: list[CommandDescriptor],
+    config_records: list[CommandConfig],
+) -> dict[str, CommandConfig]:
+    config_map = {cfg.handler_full_name: cfg for cfg in config_records}
+    for desc in descriptors:
+        if cfg := config_map.get(desc.handler_full_name):
+            _bind_descriptor_with_config(desc, cfg)
+    return config_map
+
+
+def _group_conflicts(
+    descriptors: list[CommandDescriptor],
+) -> dict[str, list[CommandDescriptor]]:
+    conflicts: dict[str, list[CommandDescriptor]] = defaultdict(list)
+    for desc in descriptors:
+        if desc.effective_command and desc.enabled:
+            conflicts[desc.effective_command].append(desc)
+    return {k: v for k, v in conflicts.items() if len(v) > 1}
+
+
+def _set_filter_fragment(
+    filter_ref: CommandFilter | CommandGroupFilter,
+    fragment: str,
+) -> None:
+    attr = (
+        "group_name" if isinstance(filter_ref, CommandGroupFilter) else "command_name"
+    )
+    current_value = getattr(filter_ref, attr)
+    if fragment == current_value:
+        return
+    setattr(filter_ref, attr, fragment)
+    if hasattr(filter_ref, "_cmpl_cmd_names"):
+        filter_ref._cmpl_cmd_names = None
+
+
+def _set_filter_aliases(
+    filter_ref: CommandFilter | CommandGroupFilter,
+    aliases: list[str],
+) -> None:
+    current_aliases = getattr(filter_ref, "alias", set())
+    if set(aliases) == current_aliases:
+        return
+    setattr(filter_ref, "alias", set(aliases))
+    if hasattr(filter_ref, "_cmpl_cmd_names"):
+        filter_ref._cmpl_cmd_names = None
+
+
+def _is_command_in_use(
+    target_handler_full_name: str,
+    candidate_full_command: str,
+) -> bool:
+    candidate = candidate_full_command.strip()
+    for handler in star_handlers_registry:
+        if handler.handler_full_name == target_handler_full_name:
+            continue
+        filter_ref = _locate_primary_filter(handler)
+        if not filter_ref:
+            continue
+        names = {name.strip() for name in filter_ref.get_complete_command_names()}
+        if candidate in names:
+            return True
+    return False
+
+
+def _descriptor_to_dict(desc: CommandDescriptor) -> dict[str, Any]:
+    result = {
+        "handler_full_name": desc.handler_full_name,
+        "handler_name": desc.handler_name,
+        "plugin": desc.plugin_name,
+        "plugin_display_name": desc.plugin_display_name,
+        "module_path": desc.module_path,
+        "description": desc.description,
+        "type": desc.command_type,
+        "parent_signature": desc.parent_signature,
+        "parent_group_handler": desc.parent_group_handler,
+        "original_command": desc.original_command,
+        "current_fragment": desc.current_fragment,
+        "effective_command": desc.effective_command,
+        "aliases": desc.aliases,
+        "permission": desc.permission,
+        "enabled": desc.enabled,
+        "is_group": desc.is_group,
+        "has_conflict": desc.has_conflict,
+        "reserved": desc.reserved,
+    }
+    # 如果是指令组，包含子指令列表
+    if desc.is_group and desc.sub_commands:
+        result["sub_commands"] = [_descriptor_to_dict(sub) for sub in desc.sub_commands]
+    else:
+        result["sub_commands"] = []
+    return result

astrbot/core/star/context.py

@@ -267,6 +267,10 @@ class Context:
     ):
         """通过 ID 获取对应的 LLM Provider。"""
         prov = self.provider_manager.inst_map.get(provider_id)
+        if provider_id and not prov:
+            logger.warning(
+                f"没有找到 ID 为 {provider_id} 的提供商，这可能是由于您修改了提供商（模型）ID 导致的。"
+            )
         return prov
 
     def get_all_providers(self) -> list[Provider]:
@@ -373,7 +377,7 @@ class Context:
             if not module_path:
                 _parts = []
                 module_part = tool.__module__.split(".")
-                flags = ["packages", "plugins"]
+                flags = ["builtin_stars", "plugins"]
                 for i, part in enumerate(module_part):
                     _parts.append(part)
                     if part in flags and i + 1 < len(module_part):

astrbot/core/star/filter/command.py

@@ -40,6 +40,7 @@ class CommandFilter(HandlerFilter):
     ):
         self.command_name = command_name
         self.alias = alias if alias else set()
+        self._original_command_name = command_name
         self.parent_command_names = (
             parent_command_names if parent_command_names is not None else [""]
         )

astrbot/core/star/filter/command_group.py

@@ -18,6 +18,7 @@ class CommandGroupFilter(HandlerFilter):
     ):
         self.group_name = group_name
         self.alias = alias if alias else set()
+        self._original_group_name = group_name
         self.sub_command_filters: list[CommandFilter | CommandGroupFilter] = []
         self.custom_filter_list: list[CustomFilter] = []
         self.parent_group = parent_group

astrbot/core/star/star_handler.py

@@ -118,6 +118,8 @@ class StarHandlerRegistry(Generic[T]):
             # 过滤事件类型
             if handler.event_type != event_type:
                 continue
+            if not handler.enabled:
+                continue
             # 过滤启用状态
             if only_activated:
                 plugin = star_map.get(handler.handler_module_path)
@@ -220,6 +222,8 @@ class StarHandlerMetadata(Generic[H]):
     extras_configs: dict = field(default_factory=dict)
     """插件注册的一些其他的信息, 如 priority 等"""
 
+    enabled: bool = True
+
     def __lt__(self, other: StarHandlerMetadata):
         """定义小于运算符以支持优先队列"""
         return self.extras_configs.get("priority", 0) < other.extras_configs.get(

astrbot/core/star/star_manager.py

@@ -18,11 +18,13 @@ from astrbot.core.config.astrbot_config import AstrBotConfig
 from astrbot.core.provider.register import llm_tools
 from astrbot.core.utils.astrbot_path import (
     get_astrbot_config_path,
+    get_astrbot_path,
     get_astrbot_plugin_path,
 )
 from astrbot.core.utils.io import remove_dir
 
 from . import StarMetadata
+from .command_management import sync_command_configs
 from .context import Context
 from .filter.permission import PermissionType, PermissionTypeFilter
 from .star import star_map, star_registry
@@ -48,13 +50,10 @@ class PluginManager:
         """存储插件的路径。即 data/plugins"""
         self.plugin_config_path = get_astrbot_config_path()
         """存储插件配置的路径。data/config"""
-        self.reserved_plugin_path = os.path.abspath(
-            os.path.join(
-                os.path.dirname(os.path.abspath(__file__)),
-                "../../../packages",
-            ),
+        self.reserved_plugin_path = os.path.join(
+            get_astrbot_path(), "astrbot", "builtin_stars"
         )
-        """保留插件的路径。在 packages 目录下"""
+        """保留插件的路径。在 astrbot/builtin_stars 目录下"""
         self.conf_schema_fname = "_conf_schema.json"
         self.logo_fname = "logo.png"
         """插件配置 Schema 文件名"""
@@ -251,7 +250,7 @@ class PluginManager:
             list[str]: 与该插件相关的模块名列表
 
         """
-        prefix = "packages." if is_reserved else "data.plugins."
+        prefix = "astrbot.builtin_stars." if is_reserved else "data.plugins."
         return [
             key
             for key in list(sys.modules.keys())
@@ -269,7 +268,7 @@ class PluginManager:
         可以基于模块名模式或插件目录名移除模块，用于清理插件相关的模块缓存
 
         Args:
-            module_patterns: 要移除的模块名模式列表（例如 ["data.plugins", "packages"]）
+            module_patterns: 要移除的模块名模式列表（例如 ["data.plugins", "astrbot.builtin_stars"]）
             root_dir_name: 插件根目录名，用于移除与该插件相关的所有模块
             is_reserved: 插件是否为保留插件（影响模块路径前缀）
 
@@ -381,9 +380,9 @@ class PluginManager:
                 reserved = plugin_module.get(
                     "reserved",
                     False,
-                )  # 是否是保留插件。目前在 packages/ 目录下的都是保留插件。保留插件不可以卸载。
+                )  # 是否是保留插件。目前在 astrbot/builtin_stars 目录下的都是保留插件。保留插件不可以卸载。
 
-                path = "data.plugins." if not reserved else "packages."
+                path = "data.plugins." if not reserved else "astrbot.builtin_stars."
                 path += root_dir_name + "." + module_str
 
                 # 检查是否需要载入指定的插件
@@ -467,6 +466,18 @@ class PluginManager:
                             metadata.star_cls = metadata.star_cls_type(
                                 context=self.context,
                             )
+
+                        p_name = (metadata.name or "unknown").lower().replace("/", "_")
+                        p_author = (
+                            (metadata.author or "unknown").lower().replace("/", "_")
+                        )
+                        setattr(metadata.star_cls, "name", p_name)
+                        setattr(metadata.star_cls, "author", p_author)
+                        setattr(
+                            metadata.star_cls,
+                            "plugin_id",
+                            f"{p_author}/{p_name}",
+                        )
                     else:
                         logger.info(f"插件 {metadata.name} 已被禁用。")
 
@@ -618,6 +629,11 @@ class PluginManager:
         # 清除 pip.main 导致的多余的 logging handlers
         for handler in logging.root.handlers[:]:
             logging.root.removeHandler(handler)
+        try:
+            await sync_command_configs()
+        except Exception as e:
+            logger.error(f"同步指令配置失败: {e!s}")
+            logger.error(traceback.format_exc())
 
         if not fail_rec:
             return True, None
@@ -811,7 +827,7 @@ class PluginManager:
             if (
                 mp
                 and mp.startswith(plugin_module_path)
-                and not mp.endswith(("packages", "data.plugins"))
+                and not mp.endswith(("astrbot.builtin_stars", "data.plugins"))
             ):
                 to_remove.append(func_tool)
         for func_tool in to_remove:
@@ -866,7 +882,7 @@ class PluginManager:
                     plugin.module_path
                     and mp
                     and plugin.module_path.startswith(mp)
-                    and not mp.endswith(("packages", "data.plugins"))
+                    and not mp.endswith(("astrbot.builtin_stars", "data.plugins"))
                 ):
                     func_tool.active = False
                     if func_tool.name not in inactivated_llm_tools:
@@ -915,7 +931,7 @@ class PluginManager:
                 plugin.module_path
                 and mp
                 and plugin.module_path.startswith(mp)
-                and not mp.endswith(("packages", "data.plugins"))
+                and not mp.endswith(("astrbot.builtin_stars", "data.plugins"))
                 and func_tool.name in inactivated_llm_tools
             ):
                 inactivated_llm_tools.remove(func_tool.name)

astrbot/core/utils/astrbot_path.py

@@ -5,6 +5,10 @@
 数据目录路径：固定为根目录下的 data 目录
 配置文件路径：固定为数据目录下的 config 目录
 插件目录路径：固定为数据目录下的 plugins 目录
+插件数据目录路径：固定为数据目录下的 plugin_data 目录
+T2I 模板目录路径：固定为数据目录下的 t2i_templates 目录
+WebChat 数据目录路径：固定为数据目录下的 webchat 目录
+临时文件目录路径：固定为数据目录下的 temp 目录
 """
 
 import os
@@ -37,3 +41,33 @@ def get_astrbot_config_path() -> str:
 def get_astrbot_plugin_path() -> str:
     """获取Astrbot插件目录路径"""
     return os.path.realpath(os.path.join(get_astrbot_data_path(), "plugins"))
+
+
+def get_astrbot_plugin_data_path() -> str:
+    """获取Astrbot插件数据目录路径"""
+    return os.path.realpath(os.path.join(get_astrbot_data_path(), "plugin_data"))
+
+
+def get_astrbot_t2i_templates_path() -> str:
+    """获取Astrbot T2I 模板目录路径"""
+    return os.path.realpath(os.path.join(get_astrbot_data_path(), "t2i_templates"))
+
+
+def get_astrbot_webchat_path() -> str:
+    """获取Astrbot WebChat 数据目录路径"""
+    return os.path.realpath(os.path.join(get_astrbot_data_path(), "webchat"))
+
+
+def get_astrbot_temp_path() -> str:
+    """获取Astrbot临时文件目录路径"""
+    return os.path.realpath(os.path.join(get_astrbot_data_path(), "temp"))
+
+
+def get_astrbot_knowledge_base_path() -> str:
+    """获取Astrbot知识库根目录路径"""
+    return os.path.realpath(os.path.join(get_astrbot_data_path(), "knowledge_base"))
+
+
+def get_astrbot_backups_path() -> str:
+    """获取Astrbot备份目录路径"""
+    return os.path.realpath(os.path.join(get_astrbot_data_path(), "backups"))

astrbot/core/utils/llm_metadata.py

@@ -0,0 +1,63 @@
+from typing import Literal, TypedDict
+
+import aiohttp
+
+from astrbot.core import logger
+
+
+class LLMModalities(TypedDict):
+    input: list[Literal["text", "image", "audio", "video"]]
+    output: list[Literal["text", "image", "audio", "video"]]
+
+
+class LLMLimit(TypedDict):
+    context: int
+    output: int
+
+
+class LLMMetadata(TypedDict):
+    id: str
+    reasoning: bool
+    tool_call: bool
+    knowledge: str
+    release_date: str
+    modalities: LLMModalities
+    open_weights: bool
+    limit: LLMLimit
+
+
+LLM_METADATAS: dict[str, LLMMetadata] = {}
+
+
+async def update_llm_metadata():
+    url = "https://models.dev/api.json"
+    try:
+        async with aiohttp.ClientSession() as session:
+            async with session.get(url) as response:
+                data = await response.json()
+                global LLM_METADATAS
+                models = {}
+                for info in data.values():
+                    for model in info.get("models", {}).values():
+                        model_id = model.get("id")
+                        if not model_id:
+                            continue
+                        models[model_id] = LLMMetadata(
+                            id=model_id,
+                            reasoning=model.get("reasoning", False),
+                            tool_call=model.get("tool_call", False),
+                            knowledge=model.get("knowledge", "none"),
+                            release_date=model.get("release_date", ""),
+                            modalities=model.get(
+                                "modalities", {"input": [], "output": []}
+                            ),
+                            open_weights=model.get("open_weights", False),
+                            limit=model.get("limit", {"context": 0, "output": 0}),
+                        )
+                # Replace the global cache in-place so references remain valid
+                LLM_METADATAS.clear()
+                LLM_METADATAS.update(models)
+                logger.info(f"Successfully fetched metadata for {len(models)} LLMs.")
+    except Exception as e:
+        logger.error(f"Failed to fetch LLM metadata: {e}")
+        return

astrbot/core/utils/migra_helper.py

@@ -32,6 +32,92 @@ def _migra_agent_runner_configs(conf: AstrBotConfig, ids_map: dict) -> None:
         logger.error(traceback.format_exc())
 
 
+def _migra_provider_to_source_structure(conf: AstrBotConfig) -> None:
+    """
+    Migrate old provider structure to new provider-source separation.
+    Provider only keeps: id, provider_source_id, model, modalities, custom_extra_body
+    All other fields move to provider_sources.
+    """
+    providers = conf.get("provider", [])
+    provider_sources = conf.get("provider_sources", [])
+
+    # Track if any migration happened
+    migrated = False
+
+    # Provider-only fields that should stay in provider
+    provider_only_fields = {
+        "id",
+        "provider_source_id",
+        "model",
+        "modalities",
+        "custom_extra_body",
+        "enable",
+    }
+
+    # Fields that should not go to source
+    source_exclude_fields = provider_only_fields | {"model_config"}
+
+    for provider in providers:
+        # Skip if already has provider_source_id
+        if provider.get("provider_source_id"):
+            continue
+
+        # Skip non-chat-completion types (they don't need source separation)
+        provider_type = provider.get("provider_type", "")
+        if provider_type != "chat_completion":
+            # For old types without provider_type, check type field
+            old_type = provider.get("type", "")
+            if "chat_completion" not in old_type:
+                continue
+
+        migrated = True
+        logger.info(f"Migrating provider {provider.get('id')} to new structure")
+
+        # Extract source fields from provider
+        source_fields = {}
+        for key, value in list(provider.items()):
+            if key not in source_exclude_fields:
+                source_fields[key] = value
+
+        # Create new provider_source
+        source_id = provider.get("id", "") + "_source"
+        new_source = {"id": source_id, **source_fields}
+
+        # Update provider to only keep necessary fields
+        provider["provider_source_id"] = source_id
+
+        # Extract model from model_config if exists
+        if "model_config" in provider and isinstance(provider["model_config"], dict):
+            model_config = provider["model_config"]
+            provider["model"] = model_config.get("model", "")
+
+            # Put other model_config fields into custom_extra_body
+            extra_body_fields = {k: v for k, v in model_config.items() if k != "model"}
+            if extra_body_fields:
+                if "custom_extra_body" not in provider:
+                    provider["custom_extra_body"] = {}
+                provider["custom_extra_body"].update(extra_body_fields)
+
+        # Initialize new fields if not present
+        if "modalities" not in provider:
+            provider["modalities"] = []
+        if "custom_extra_body" not in provider:
+            provider["custom_extra_body"] = {}
+
+        # Remove fields that should be in source
+        keys_to_remove = [k for k in provider.keys() if k not in provider_only_fields]
+        for key in keys_to_remove:
+            del provider[key]
+
+        # Add source to provider_sources
+        provider_sources.append(new_source)
+
+    if migrated:
+        conf["provider_sources"] = provider_sources
+        conf.save_config()
+        logger.info("Provider-source structure migration completed")
+
+
 async def migra(
     db, astrbot_config_mgr, umop_config_router, acm: AstrBotConfigManager
 ) -> None:
@@ -71,3 +157,10 @@ async def migra(
 
     for conf in acm.confs.values():
         _migra_agent_runner_configs(conf, ids_map)
+
+    # Migrate providers to new structure: extract source fields to provider_sources
+    try:
+        _migra_provider_to_source_structure(astrbot_config)
+    except Exception as e:
+        logger.error(f"Migration for provider-source structure failed: {e!s}")
+        logger.error(traceback.format_exc())

astrbot/core/utils/plugin_kv_store.py

@@ -0,0 +1,28 @@
+from typing import TypeVar
+
+from astrbot.core import sp
+
+SUPPORTED_VALUE_TYPES = int | float | str | bytes | bool | dict | list | None
+_VT = TypeVar("_VT")
+
+
+class PluginKVStoreMixin:
+    """为插件提供键值存储功能的 Mixin 类"""
+
+    plugin_id: str
+
+    async def put_kv_data(
+        self,
+        key: str,
+        value: SUPPORTED_VALUE_TYPES,
+    ) -> None:
+        """为指定插件存储一个键值对"""
+        await sp.put_async("plugin", self.plugin_id, key, value)
+
+    async def get_kv_data(self, key: str, default: _VT) -> _VT | None:
+        """获取指定插件存储的键值对"""
+        return await sp.get_async("plugin", self.plugin_id, key, default)
+
+    async def delete_kv_data(self, key: str) -> None:
+        """删除指定插件存储的键值对"""
+        await sp.remove_async("plugin", self.plugin_id, key)

astrbot/dashboard/routes/__init__.py

@@ -1,5 +1,7 @@
 from .auth import AuthRoute
+from .backup import BackupRoute
 from .chat import ChatRoute
+from .command import CommandRoute
 from .config import ConfigRoute
 from .conversation import ConversationRoute
 from .file import FileRoute
@@ -16,7 +18,9 @@ from .update import UpdateRoute
 
 __all__ = [
     "AuthRoute",
+    "BackupRoute",
     "ChatRoute",
+    "CommandRoute",
     "ConfigRoute",
     "ConversationRoute",
     "FileRoute",

astrbot/dashboard/routes/backup.py

@@ -0,0 +1,589 @@
+"""备份管理 API 路由"""
+
+import asyncio
+import os
+import re
+import traceback
+import uuid
+from datetime import datetime
+from pathlib import Path
+
+from quart import request, send_file
+
+from astrbot.core import logger
+from astrbot.core.backup.exporter import AstrBotExporter
+from astrbot.core.backup.importer import AstrBotImporter
+from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
+from astrbot.core.db import BaseDatabase
+from astrbot.core.utils.astrbot_path import (
+    get_astrbot_backups_path,
+    get_astrbot_data_path,
+)
+
+from .route import Response, Route, RouteContext
+
+
+def secure_filename(filename: str) -> str:
+    """清洗文件名，移除路径遍历字符和危险字符
+
+    Args:
+        filename: 原始文件名
+
+    Returns:
+        安全的文件名
+    """
+    # 跨平台处理：先将反斜杠替换为正斜杠，再取文件名
+    filename = filename.replace("\\", "/")
+    # 仅保留文件名部分，移除路径
+    filename = os.path.basename(filename)
+
+    # 替换路径遍历字符
+    filename = filename.replace("..", "_")
+
+    # 仅保留字母、数字、下划线、连字符、点
+    filename = re.sub(r"[^\w\-.]", "_", filename)
+
+    # 移除前导点（隐藏文件）和尾部点
+    filename = filename.strip(".")
+
+    # 如果文件名为空或只包含下划线，生成一个默认名称
+    if not filename or filename.replace("_", "") == "":
+        filename = "backup"
+
+    return filename
+
+
+def generate_unique_filename(original_filename: str) -> str:
+    """生成唯一的文件名，添加时间戳前缀
+
+    Args:
+        original_filename: 原始文件名（已清洗）
+
+    Returns:
+        唯一的文件名
+    """
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    name, ext = os.path.splitext(original_filename)
+    return f"uploaded_{timestamp}_{name}{ext}"
+
+
+class BackupRoute(Route):
+    """备份管理路由
+
+    提供备份导出、导入、列表等 API 接口
+    """
+
+    def __init__(
+        self,
+        context: RouteContext,
+        db: BaseDatabase,
+        core_lifecycle: AstrBotCoreLifecycle,
+    ) -> None:
+        super().__init__(context)
+        self.db = db
+        self.core_lifecycle = core_lifecycle
+        self.backup_dir = get_astrbot_backups_path()
+        self.data_dir = get_astrbot_data_path()
+
+        # 任务状态跟踪
+        self.backup_tasks: dict[str, dict] = {}
+        self.backup_progress: dict[str, dict] = {}
+
+        # 注册路由
+        self.routes = {
+            "/backup/list": ("GET", self.list_backups),
+            "/backup/export": ("POST", self.export_backup),
+            "/backup/upload": ("POST", self.upload_backup),  # 上传文件
+            "/backup/check": ("POST", self.check_backup),  # 预检查
+            "/backup/import": ("POST", self.import_backup),  # 确认导入
+            "/backup/progress": ("GET", self.get_progress),
+            "/backup/download": ("GET", self.download_backup),
+            "/backup/delete": ("POST", self.delete_backup),
+        }
+        self.register_routes()
+
+    def _init_task(self, task_id: str, task_type: str, status: str = "pending") -> None:
+        """初始化任务状态"""
+        self.backup_tasks[task_id] = {
+            "type": task_type,
+            "status": status,
+            "result": None,
+            "error": None,
+        }
+        self.backup_progress[task_id] = {
+            "status": status,
+            "stage": "waiting",
+            "current": 0,
+            "total": 100,
+            "message": "",
+        }
+
+    def _set_task_result(
+        self,
+        task_id: str,
+        status: str,
+        result: dict | None = None,
+        error: str | None = None,
+    ) -> None:
+        """设置任务结果"""
+        if task_id in self.backup_tasks:
+            self.backup_tasks[task_id]["status"] = status
+            self.backup_tasks[task_id]["result"] = result
+            self.backup_tasks[task_id]["error"] = error
+        if task_id in self.backup_progress:
+            self.backup_progress[task_id]["status"] = status
+
+    def _update_progress(
+        self,
+        task_id: str,
+        *,
+        status: str | None = None,
+        stage: str | None = None,
+        current: int | None = None,
+        total: int | None = None,
+        message: str | None = None,
+    ) -> None:
+        """更新任务进度"""
+        if task_id not in self.backup_progress:
+            return
+        p = self.backup_progress[task_id]
+        if status is not None:
+            p["status"] = status
+        if stage is not None:
+            p["stage"] = stage
+        if current is not None:
+            p["current"] = current
+        if total is not None:
+            p["total"] = total
+        if message is not None:
+            p["message"] = message
+
+    def _make_progress_callback(self, task_id: str):
+        """创建进度回调函数"""
+
+        async def _callback(stage: str, current: int, total: int, message: str = ""):
+            self._update_progress(
+                task_id,
+                status="processing",
+                stage=stage,
+                current=current,
+                total=total,
+                message=message,
+            )
+
+        return _callback
+
+    async def list_backups(self):
+        """获取备份列表
+
+        Query 参数:
+        - page: 页码 (默认 1)
+        - page_size: 每页数量 (默认 20)
+        """
+        try:
+            page = request.args.get("page", 1, type=int)
+            page_size = request.args.get("page_size", 20, type=int)
+
+            # 确保备份目录存在
+            Path(self.backup_dir).mkdir(parents=True, exist_ok=True)
+
+            # 获取所有备份文件
+            backup_files = []
+            for filename in os.listdir(self.backup_dir):
+                if filename.endswith(".zip") and filename.startswith("astrbot_backup_"):
+                    file_path = os.path.join(self.backup_dir, filename)
+                    stat = os.stat(file_path)
+                    backup_files.append(
+                        {
+                            "filename": filename,
+                            "size": stat.st_size,
+                            "created_at": stat.st_mtime,
+                        }
+                    )
+
+            # 按创建时间倒序排序
+            backup_files.sort(key=lambda x: x["created_at"], reverse=True)
+
+            # 分页
+            start = (page - 1) * page_size
+            end = start + page_size
+            items = backup_files[start:end]
+
+            return (
+                Response()
+                .ok(
+                    {
+                        "items": items,
+                        "total": len(backup_files),
+                        "page": page,
+                        "page_size": page_size,
+                    }
+                )
+                .__dict__
+            )
+        except Exception as e:
+            logger.error(f"获取备份列表失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"获取备份列表失败: {e!s}").__dict__
+
+    async def export_backup(self):
+        """创建备份
+
+        返回:
+        - task_id: 任务ID，用于查询导出进度
+        """
+        try:
+            # 生成任务ID
+            task_id = str(uuid.uuid4())
+
+            # 初始化任务状态
+            self._init_task(task_id, "export", "pending")
+
+            # 启动后台导出任务
+            asyncio.create_task(self._background_export_task(task_id))
+
+            return (
+                Response()
+                .ok(
+                    {
+                        "task_id": task_id,
+                        "message": "export task created, processing in background",
+                    }
+                )
+                .__dict__
+            )
+        except Exception as e:
+            logger.error(f"创建备份失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"创建备份失败: {e!s}").__dict__
+
+    async def _background_export_task(self, task_id: str):
+        """后台导出任务"""
+        try:
+            self._update_progress(task_id, status="processing", message="正在初始化...")
+
+            # 获取知识库管理器
+            kb_manager = getattr(self.core_lifecycle, "kb_manager", None)
+
+            exporter = AstrBotExporter(
+                main_db=self.db,
+                kb_manager=kb_manager,
+                config_path=os.path.join(self.data_dir, "cmd_config.json"),
+            )
+
+            # 创建进度回调
+            progress_callback = self._make_progress_callback(task_id)
+
+            # 执行导出
+            zip_path = await exporter.export_all(
+                output_dir=self.backup_dir,
+                progress_callback=progress_callback,
+            )
+
+            # 设置成功结果
+            self._set_task_result(
+                task_id,
+                "completed",
+                result={
+                    "filename": os.path.basename(zip_path),
+                    "path": zip_path,
+                    "size": os.path.getsize(zip_path),
+                },
+            )
+        except Exception as e:
+            logger.error(f"后台导出任务 {task_id} 失败: {e}")
+            logger.error(traceback.format_exc())
+            self._set_task_result(task_id, "failed", error=str(e))
+
+    async def upload_backup(self):
+        """上传备份文件
+
+        将备份文件上传到服务器，返回保存的文件名。
+        上传后应调用 check_backup 进行预检查。
+
+        Form Data:
+        - file: 备份文件 (.zip)
+
+        返回:
+        - filename: 保存的文件名
+        """
+        try:
+            files = await request.files
+            if "file" not in files:
+                return Response().error("缺少备份文件").__dict__
+
+            file = files["file"]
+            if not file.filename or not file.filename.endswith(".zip"):
+                return Response().error("请上传 ZIP 格式的备份文件").__dict__
+
+            # 清洗文件名并生成唯一名称，防止路径遍历和覆盖
+            safe_filename = secure_filename(file.filename)
+            unique_filename = generate_unique_filename(safe_filename)
+
+            # 保存上传的文件
+            Path(self.backup_dir).mkdir(parents=True, exist_ok=True)
+            zip_path = os.path.join(self.backup_dir, unique_filename)
+            await file.save(zip_path)
+
+            logger.info(
+                f"上传的备份文件已保存: {unique_filename} (原始名称: {file.filename})"
+            )
+
+            return (
+                Response()
+                .ok(
+                    {
+                        "filename": unique_filename,
+                        "original_filename": file.filename,
+                        "size": os.path.getsize(zip_path),
+                    }
+                )
+                .__dict__
+            )
+        except Exception as e:
+            logger.error(f"上传备份文件失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"上传备份文件失败: {e!s}").__dict__
+
+    async def check_backup(self):
+        """预检查备份文件
+
+        检查备份文件的版本兼容性，返回确认信息。
+        用户确认后调用 import_backup 执行导入。
+
+        JSON Body:
+        - filename: 已上传的备份文件名
+
+        返回:
+        - ImportPreCheckResult: 预检查结果
+        """
+        try:
+            data = await request.json
+            filename = data.get("filename")
+            if not filename:
+                return Response().error("缺少 filename 参数").__dict__
+
+            # 安全检查 - 防止路径遍历
+            if ".." in filename or "/" in filename or "\\" in filename:
+                return Response().error("无效的文件名").__dict__
+
+            zip_path = os.path.join(self.backup_dir, filename)
+            if not os.path.exists(zip_path):
+                return Response().error(f"备份文件不存在: {filename}").__dict__
+
+            # 获取知识库管理器（用于构造 importer）
+            kb_manager = getattr(self.core_lifecycle, "kb_manager", None)
+
+            importer = AstrBotImporter(
+                main_db=self.db,
+                kb_manager=kb_manager,
+                config_path=os.path.join(self.data_dir, "cmd_config.json"),
+            )
+
+            # 执行预检查
+            check_result = importer.pre_check(zip_path)
+
+            return Response().ok(check_result.to_dict()).__dict__
+        except Exception as e:
+            logger.error(f"预检查备份文件失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"预检查备份文件失败: {e!s}").__dict__
+
+    async def import_backup(self):
+        """执行备份导入
+
+        在用户确认后执行实际的导入操作。
+        需要先调用 upload_backup 上传文件，再调用 check_backup 预检查。
+
+        JSON Body:
+        - filename: 已上传的备份文件名（必填）
+        - confirmed: 用户已确认（必填，必须为 true）
+
+        返回:
+        - task_id: 任务ID，用于查询导入进度
+        """
+        try:
+            data = await request.json
+            filename = data.get("filename")
+            confirmed = data.get("confirmed", False)
+
+            if not filename:
+                return Response().error("缺少 filename 参数").__dict__
+
+            if not confirmed:
+                return (
+                    Response()
+                    .error("请先确认导入。导入将会清空并覆盖现有数据，此操作不可撤销。")
+                    .__dict__
+                )
+
+            # 安全检查 - 防止路径遍历
+            if ".." in filename or "/" in filename or "\\" in filename:
+                return Response().error("无效的文件名").__dict__
+
+            zip_path = os.path.join(self.backup_dir, filename)
+            if not os.path.exists(zip_path):
+                return Response().error(f"备份文件不存在: {filename}").__dict__
+
+            # 生成任务ID
+            task_id = str(uuid.uuid4())
+
+            # 初始化任务状态
+            self._init_task(task_id, "import", "pending")
+
+            # 启动后台导入任务
+            asyncio.create_task(self._background_import_task(task_id, zip_path))
+
+            return (
+                Response()
+                .ok(
+                    {
+                        "task_id": task_id,
+                        "message": "import task created, processing in background",
+                    }
+                )
+                .__dict__
+            )
+        except Exception as e:
+            logger.error(f"导入备份失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"导入备份失败: {e!s}").__dict__
+
+    async def _background_import_task(self, task_id: str, zip_path: str):
+        """后台导入任务"""
+        try:
+            self._update_progress(task_id, status="processing", message="正在初始化...")
+
+            # 获取知识库管理器
+            kb_manager = getattr(self.core_lifecycle, "kb_manager", None)
+
+            importer = AstrBotImporter(
+                main_db=self.db,
+                kb_manager=kb_manager,
+                config_path=os.path.join(self.data_dir, "cmd_config.json"),
+            )
+
+            # 创建进度回调
+            progress_callback = self._make_progress_callback(task_id)
+
+            # 执行导入
+            result = await importer.import_all(
+                zip_path=zip_path,
+                mode="replace",
+                progress_callback=progress_callback,
+            )
+
+            # 设置结果
+            if result.success:
+                self._set_task_result(
+                    task_id,
+                    "completed",
+                    result=result.to_dict(),
+                )
+            else:
+                self._set_task_result(
+                    task_id,
+                    "failed",
+                    error="; ".join(result.errors),
+                )
+        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 get_progress(self):
+        """获取任务进度
+
+        Query 参数:
+        - task_id: 任务 ID (必填)
+        """
+        try:
+            task_id = request.args.get("task_id")
+            if not task_id:
+                return Response().error("缺少参数 task_id").__dict__
+
+            if task_id not in self.backup_tasks:
+                return Response().error("找不到该任务").__dict__
+
+            task_info = self.backup_tasks[task_id]
+            status = task_info["status"]
+
+            response_data = {
+                "task_id": task_id,
+                "type": task_info["type"],
+                "status": status,
+            }
+
+            # 如果任务正在处理，返回进度信息
+            if status == "processing" and task_id in self.backup_progress:
+                response_data["progress"] = self.backup_progress[task_id]
+
+            # 如果任务完成，返回结果
+            if status == "completed":
+                response_data["result"] = task_info["result"]
+
+            # 如果任务失败，返回错误信息
+            if status == "failed":
+                response_data["error"] = task_info["error"]
+
+            return Response().ok(response_data).__dict__
+        except Exception as e:
+            logger.error(f"获取任务进度失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"获取任务进度失败: {e!s}").__dict__
+
+    async def download_backup(self):
+        """下载备份文件
+
+        Query 参数:
+        - filename: 备份文件名 (必填)
+        """
+        try:
+            filename = request.args.get("filename")
+            if not filename:
+                return Response().error("缺少参数 filename").__dict__
+
+            # 安全检查 - 防止路径遍历
+            if ".." in filename or "/" in filename or "\\" in filename:
+                return Response().error("无效的文件名").__dict__
+
+            file_path = os.path.join(self.backup_dir, filename)
+            if not os.path.exists(file_path):
+                return Response().error("备份文件不存在").__dict__
+
+            return await send_file(
+                file_path,
+                as_attachment=True,
+                attachment_filename=filename,
+            )
+        except Exception as e:
+            logger.error(f"下载备份失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"下载备份失败: {e!s}").__dict__
+
+    async def delete_backup(self):
+        """删除备份文件
+
+        Body:
+        - filename: 备份文件名 (必填)
+        """
+        try:
+            data = await request.json
+            filename = data.get("filename")
+            if not filename:
+                return Response().error("缺少参数 filename").__dict__
+
+            # 安全检查 - 防止路径遍历
+            if ".." in filename or "/" in filename or "\\" in filename:
+                return Response().error("无效的文件名").__dict__
+
+            file_path = os.path.join(self.backup_dir, filename)
+            if not os.path.exists(file_path):
+                return Response().error("备份文件不存在").__dict__
+
+            os.remove(file_path)
+            return Response().ok(message="删除备份成功").__dict__
+        except Exception as e:
+            logger.error(f"删除备份失败: {e}")
+            logger.error(traceback.format_exc())
+            return Response().error(f"删除备份失败: {e!s}").__dict__

astrbot/dashboard/routes/chat.py

@@ -227,16 +227,19 @@ class ChatRoute(Route):
         text: str,
         media_parts: list,
         reasoning: str,
+        agent_stats: dict,
     ):
         """保存 bot 消息到历史记录，返回保存的记录"""
         bot_message_parts = []
+        bot_message_parts.extend(media_parts)
         if text:
             bot_message_parts.append({"type": "plain", "text": text})
-        bot_message_parts.extend(media_parts)
 
         new_his = {"type": "bot", "message": bot_message_parts}
         if reasoning:
             new_his["reasoning"] = reasoning
+        if agent_stats:
+            new_his["agent_stats"] = agent_stats
 
         record = await self.platform_history_mgr.insert(
             platform_id="webchat",
@@ -294,7 +297,8 @@ class ChatRoute(Route):
             accumulated_parts = []
             accumulated_text = ""
             accumulated_reasoning = ""
-
+            tool_calls = {}
+            agent_stats = {}
             try:
                 async with track_conversation(self.running_convs, webchat_conv_id):
                     while True:
@@ -314,6 +318,16 @@ class ChatRoute(Route):
                         result_text = result["data"]
                         msg_type = result.get("type")
                         streaming = result.get("streaming", False)
+                        chain_type = result.get("chain_type")
+
+                        if chain_type == "agent_stats":
+                            stats_info = {
+                                "type": "agent_stats",
+                                "data": json.loads(result_text),
+                            }
+                            yield f"data: {json.dumps(stats_info, ensure_ascii=False)}\n\n"
+                            agent_stats = stats_info["data"]
+                            continue
 
                         # 发送 SSE 数据
                         try:
@@ -335,11 +349,35 @@ class ChatRoute(Route):
 
                         # 累积消息部分
                         if msg_type == "plain":
-                            chain_type = result.get("chain_type", "normal")
-                            if chain_type == "reasoning":
+                            chain_type = result.get("chain_type")
+                            if chain_type == "tool_call":
+                                tool_call = json.loads(result_text)
+                                tool_calls[tool_call.get("id")] = tool_call
+                                if accumulated_text:
+                                    # 如果累积了文本，则先保存文本
+                                    accumulated_parts.append(
+                                        {"type": "plain", "text": accumulated_text}
+                                    )
+                                    accumulated_text = ""
+                            elif chain_type == "tool_call_result":
+                                tcr = json.loads(result_text)
+                                tc_id = tcr.get("id")
+                                if tc_id in tool_calls:
+                                    tool_calls[tc_id]["result"] = tcr.get("result")
+                                    tool_calls[tc_id]["finished_ts"] = tcr.get("ts")
+                                accumulated_parts.append(
+                                    {
+                                        "type": "tool_call",
+                                        "tool_calls": [tool_calls[tc_id]],
+                                    }
+                                )
+                                tool_calls.pop(tc_id, None)
+                            elif chain_type == "reasoning":
                                 accumulated_reasoning += result_text
-                            else:
+                            elif streaming:
                                 accumulated_text += result_text
+                            else:
+                                accumulated_text = result_text
                         elif msg_type == "image":
                             filename = result_text.replace("[IMAGE]", "")
                             part = await self._create_attachment_from_file(
@@ -367,15 +405,20 @@ class ChatRoute(Route):
                         if msg_type == "end":
                             break
                         elif (
-                            (streaming and msg_type == "complete")
-                            or not streaming
-                            or msg_type == "break"
+                            (streaming and msg_type == "complete") or not streaming
+                            # or msg_type == "break"
                         ):
+                            if (
+                                chain_type == "tool_call"
+                                or chain_type == "tool_call_result"
+                            ):
+                                continue
                             saved_record = await self._save_bot_message(
                                 webchat_conv_id,
                                 accumulated_text,
                                 accumulated_parts,
                                 accumulated_reasoning,
+                                agent_stats,
                             )
                             # 发送保存的消息信息给前端
                             if saved_record and not client_disconnected:
@@ -390,11 +433,11 @@ class ChatRoute(Route):
                                     yield f"data: {json.dumps(saved_info, ensure_ascii=False)}\n\n"
                                 except Exception:
                                     pass
-                            # 重置累积变量 (对于 break 后的下一段消息)
-                            if msg_type == "break":
-                                accumulated_parts = []
-                                accumulated_text = ""
-                                accumulated_reasoning = ""
+                            accumulated_parts = []
+                            accumulated_text = ""
+                            accumulated_reasoning = ""
+                            # tool_calls = {}
+                            agent_stats = {}
             except BaseException as e:
                 logger.exception(f"WebChat stream unexpected error: {e}", exc_info=True)
 

astrbot/dashboard/routes/command.py

@@ -0,0 +1,83 @@
+from quart import request
+
+from astrbot.core.star.command_management import (
+    list_command_conflicts,
+    list_commands,
+)
+from astrbot.core.star.command_management import (
+    rename_command as rename_command_service,
+)
+from astrbot.core.star.command_management import (
+    toggle_command as toggle_command_service,
+)
+
+from .route import Response, Route, RouteContext
+
+
+class CommandRoute(Route):
+    def __init__(self, context: RouteContext) -> None:
+        super().__init__(context)
+        self.routes = {
+            "/commands": ("GET", self.get_commands),
+            "/commands/conflicts": ("GET", self.get_conflicts),
+            "/commands/toggle": ("POST", self.toggle_command),
+            "/commands/rename": ("POST", self.rename_command),
+        }
+        self.register_routes()
+
+    async def get_commands(self):
+        commands = await list_commands()
+        summary = {
+            "total": len(commands),
+            "disabled": len([cmd for cmd in commands if not cmd["enabled"]]),
+            "conflicts": len([cmd for cmd in commands if cmd.get("has_conflict")]),
+        }
+        return Response().ok({"items": commands, "summary": summary}).__dict__
+
+    async def get_conflicts(self):
+        conflicts = await list_command_conflicts()
+        return Response().ok(conflicts).__dict__
+
+    async def toggle_command(self):
+        data = await request.get_json()
+        handler_full_name = data.get("handler_full_name")
+        enabled = data.get("enabled")
+
+        if handler_full_name is None or enabled is None:
+            return Response().error("handler_full_name 与 enabled 均为必填。").__dict__
+
+        if isinstance(enabled, str):
+            enabled = enabled.lower() in ("1", "true", "yes", "on")
+
+        try:
+            await toggle_command_service(handler_full_name, bool(enabled))
+        except ValueError as exc:
+            return Response().error(str(exc)).__dict__
+
+        payload = await _get_command_payload(handler_full_name)
+        return Response().ok(payload).__dict__
+
+    async def rename_command(self):
+        data = await request.get_json()
+        handler_full_name = data.get("handler_full_name")
+        new_name = data.get("new_name")
+        aliases = data.get("aliases")
+
+        if not handler_full_name or not new_name:
+            return Response().error("handler_full_name 与 new_name 均为必填。").__dict__
+
+        try:
+            await rename_command_service(handler_full_name, new_name, aliases=aliases)
+        except ValueError as exc:
+            return Response().error(str(exc)).__dict__
+
+        payload = await _get_command_payload(handler_full_name)
+        return Response().ok(payload).__dict__
+
+
+async def _get_command_payload(handler_full_name: str):
+    commands = await list_commands()
+    for cmd in commands:
+        if cmd["handler_full_name"] == handler_full_name:
+            return cmd
+    return {}

astrbot/dashboard/routes/config.py

@@ -6,7 +6,7 @@ from typing import Any
 
 from quart import request
 
-from astrbot.core import file_token_service, logger
+from astrbot.core import astrbot_config, file_token_service, logger
 from astrbot.core.config.astrbot_config import AstrBotConfig
 from astrbot.core.config.default import (
     CONFIG_METADATA_2,
@@ -21,6 +21,7 @@ from astrbot.core.platform.register import platform_cls_map, platform_registry
 from astrbot.core.provider import Provider
 from astrbot.core.provider.register import provider_registry
 from astrbot.core.star.star import star_registry
+from astrbot.core.utils.llm_metadata import LLM_METADATAS
 from astrbot.core.utils.webhook_utils import ensure_platform_webhook_config
 
 from .route import Response, Route, RouteContext
@@ -179,13 +180,157 @@ class ConfigRoute(Route):
             "/config/provider/new": ("POST", self.post_new_provider),
             "/config/provider/update": ("POST", self.post_update_provider),
             "/config/provider/delete": ("POST", self.post_delete_provider),
+            "/config/provider/template": ("GET", self.get_provider_template),
             "/config/provider/check_one": ("GET", self.check_one_provider_status),
             "/config/provider/list": ("GET", self.get_provider_config_list),
             "/config/provider/model_list": ("GET", self.get_provider_model_list),
             "/config/provider/get_embedding_dim": ("POST", self.get_embedding_dim),
+            "/config/provider_sources/models": (
+                "GET",
+                self.get_provider_source_models,
+            ),
+            "/config/provider_sources/update": (
+                "POST",
+                self.update_provider_source,
+            ),
+            "/config/provider_sources/delete": (
+                "POST",
+                self.delete_provider_source,
+            ),
         }
         self.register_routes()
 
+    async def delete_provider_source(self):
+        """删除 provider_source，并更新关联的 providers"""
+        post_data = await request.json
+        if not post_data:
+            return Response().error("缺少配置数据").__dict__
+
+        provider_source_id = post_data.get("id")
+        if not provider_source_id:
+            return Response().error("缺少 provider_source_id").__dict__
+
+        provider_sources = self.config.get("provider_sources", [])
+        target_idx = next(
+            (
+                i
+                for i, ps in enumerate(provider_sources)
+                if ps.get("id") == provider_source_id
+            ),
+            -1,
+        )
+
+        if target_idx == -1:
+            return Response().error("未找到对应的 provider source").__dict__
+
+        # 删除 provider_source
+        del provider_sources[target_idx]
+
+        # 写回配置
+        self.config["provider_sources"] = provider_sources
+
+        # 删除引用了该 provider_source 的 providers
+        await self.core_lifecycle.provider_manager.delete_provider(
+            provider_source_id=provider_source_id
+        )
+
+        try:
+            save_config(self.config, self.config, is_core=True)
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            return Response().error(str(e)).__dict__
+
+        return Response().ok(message="删除 provider source 成功").__dict__
+
+    async def update_provider_source(self):
+        """更新或新增 provider_source，并重载关联的 providers"""
+        post_data = await request.json
+        if not post_data:
+            return Response().error("缺少配置数据").__dict__
+
+        new_source_config = post_data.get("config") or post_data
+        original_id = post_data.get("original_id")
+        if not original_id:
+            return Response().error("缺少 original_id").__dict__
+
+        if not isinstance(new_source_config, dict):
+            return Response().error("缺少或错误的配置数据").__dict__
+
+        # 确保配置中有 id 字段
+        if not new_source_config.get("id"):
+            new_source_config["id"] = original_id
+
+        provider_sources = self.config.get("provider_sources", [])
+
+        for ps in provider_sources:
+            if ps.get("id") == new_source_config["id"] and ps.get("id") != original_id:
+                return (
+                    Response()
+                    .error(
+                        f"Provider source ID '{new_source_config['id']}' exists already, please try another ID.",
+                    )
+                    .__dict__
+                )
+
+        # 查找旧的 provider_source，若不存在则追加为新配置
+        target_idx = next(
+            (i for i, ps in enumerate(provider_sources) if ps.get("id") == original_id),
+            -1,
+        )
+
+        old_id = original_id
+        if target_idx == -1:
+            provider_sources.append(new_source_config)
+        else:
+            old_id = provider_sources[target_idx].get("id")
+            provider_sources[target_idx] = new_source_config
+
+        # 更新引用了该 provider_source 的 providers
+        affected_providers = []
+        for provider in self.config.get("provider", []):
+            if provider.get("provider_source_id") == old_id:
+                provider["provider_source_id"] = new_source_config["id"]
+                affected_providers.append(provider)
+
+        # 写回配置
+        self.config["provider_sources"] = provider_sources
+
+        try:
+            save_config(self.config, self.config, is_core=True)
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            return Response().error(str(e)).__dict__
+
+        # 重载受影响的 providers，使新的 source 配置生效
+        reload_errors = []
+        prov_mgr = self.core_lifecycle.provider_manager
+        for provider in affected_providers:
+            try:
+                await prov_mgr.reload(provider)
+            except Exception as e:
+                logger.error(traceback.format_exc())
+                reload_errors.append(f"{provider.get('id')}: {e}")
+
+        if reload_errors:
+            return (
+                Response()
+                .error("更新成功，但部分提供商重载失败: " + ", ".join(reload_errors))
+                .__dict__
+            )
+
+        return Response().ok(message="更新 provider source 成功").__dict__
+
+    async def get_provider_template(self):
+        config_schema = {
+            "provider": CONFIG_METADATA_2["provider_group"]["metadata"]["provider"]
+        }
+        data = {
+            "config_schema": config_schema,
+            "providers": astrbot_config["provider"],
+            "provider_sources": astrbot_config["provider_sources"],
+        }
+        return Response().ok(data=data).__dict__
+
     async def get_uc_table(self):
         """获取 UMOP 配置路由表"""
         return Response().ok({"routing": self.ucr.umop_to_conf_id}).__dict__
@@ -433,9 +578,25 @@ class ConfigRoute(Route):
             return Response().error("缺少参数 provider_type").__dict__
         provider_type_ls = provider_type.split(",")
         provider_list = []
-        astrbot_config = self.core_lifecycle.astrbot_config
-        for provider in astrbot_config["provider"]:
-            if provider.get("provider_type", None) in provider_type_ls:
+        ps = self.core_lifecycle.provider_manager.providers_config
+        p_source_pt = {
+            psrc["id"]: psrc["provider_type"]
+            for psrc in self.core_lifecycle.provider_manager.provider_sources_config
+        }
+        for provider in ps:
+            ps_id = provider.get("provider_source_id", None)
+            if (
+                ps_id
+                and ps_id in p_source_pt
+                and p_source_pt[ps_id] in provider_type_ls
+            ):
+                # chat
+                prov = self.core_lifecycle.provider_manager.get_merged_provider_config(
+                    provider
+                )
+                provider_list.append(prov)
+            elif not ps_id and provider.get("provider_type", None) in provider_type_ls:
+                # agent runner, embedding, etc
                 provider_list.append(provider)
         return Response().ok(provider_list).__dict__
 
@@ -458,9 +619,18 @@ class ConfigRoute(Route):
 
         try:
             models = await provider.get_models()
+            models = models or []
+
+            metadata_map = {}
+            for model_id in models:
+                meta = LLM_METADATAS.get(model_id)
+                if meta:
+                    metadata_map[model_id] = meta
+
             ret = {
                 "models": models,
                 "provider_id": provider_id,
+                "model_metadata": metadata_map,
             }
             return Response().ok(ret).__dict__
         except Exception as e:
@@ -522,6 +692,104 @@ class ConfigRoute(Route):
             logger.error(traceback.format_exc())
             return Response().error(f"获取嵌入维度失败: {e!s}").__dict__
 
+    async def get_provider_source_models(self):
+        """获取指定 provider_source 支持的模型列表
+
+        本质上会临时初始化一个 Provider 实例，调用 get_models() 获取模型列表，然后销毁实例
+        """
+        provider_source_id = request.args.get("source_id")
+        if not provider_source_id:
+            return Response().error("缺少参数 source_id").__dict__
+
+        try:
+            from astrbot.core.provider.register import provider_cls_map
+
+            # 从配置中查找对应的 provider_source
+            provider_sources = self.config.get("provider_sources", [])
+            provider_source = None
+            for ps in provider_sources:
+                if ps.get("id") == provider_source_id:
+                    provider_source = ps
+                    break
+
+            if not provider_source:
+                return (
+                    Response()
+                    .error(f"未找到 ID 为 {provider_source_id} 的 provider_source")
+                    .__dict__
+                )
+
+            # 获取 provider 类型
+            provider_type = provider_source.get("type", None)
+            if not provider_type:
+                return Response().error("provider_source 缺少 type 字段").__dict__
+
+            try:
+                self.core_lifecycle.provider_manager.dynamic_import_provider(
+                    provider_type
+                )
+            except ImportError as e:
+                logger.error(traceback.format_exc())
+                return Response().error(f"动态导入提供商适配器失败: {e!s}").__dict__
+
+            # 获取对应的 provider 类
+            if provider_type not in provider_cls_map:
+                return (
+                    Response()
+                    .error(f"未找到适用于 {provider_type} 的提供商适配器")
+                    .__dict__
+                )
+
+            provider_metadata = provider_cls_map[provider_type]
+            cls_type = provider_metadata.cls_type
+
+            if not cls_type:
+                return Response().error(f"无法找到 {provider_type} 的类").__dict__
+
+            # 检查是否是 Provider 类型
+            if not issubclass(cls_type, Provider):
+                return (
+                    Response()
+                    .error(f"提供商 {provider_type} 不支持获取模型列表")
+                    .__dict__
+                )
+
+            # 临时实例化 provider
+            inst = cls_type(provider_source, {})
+
+            # 如果有 initialize 方法，调用它
+            init_fn = getattr(inst, "initialize", None)
+            if inspect.iscoroutinefunction(init_fn):
+                await init_fn()
+
+            # 获取模型列表
+            models = await inst.get_models()
+            models = models or []
+
+            metadata_map = {}
+            for model_id in models:
+                meta = LLM_METADATAS.get(model_id)
+                if meta:
+                    metadata_map[model_id] = meta
+
+            # 销毁实例（如果有 terminate 方法）
+            terminate_fn = getattr(inst, "terminate", None)
+            if inspect.iscoroutinefunction(terminate_fn):
+                await terminate_fn()
+
+            logger.info(
+                f"获取到 provider_source {provider_source_id} 的模型列表: {models}",
+            )
+
+            return (
+                Response()
+                .ok({"models": models, "model_metadata": metadata_map})
+                .__dict__
+            )
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            return Response().error(f"获取模型列表失败: {e!s}").__dict__
+
     async def get_platform_list(self):
         """获取所有平台的列表"""
         platform_list = []
@@ -533,7 +801,15 @@ class ConfigRoute(Route):
         data = await request.json
         config = data.get("config", None)
         conf_id = data.get("conf_id", None)
+
         try:
+            # 不更新 provider_sources, provider, platform
+            # 这些配置有单独的接口进行更新
+            if conf_id == "default":
+                no_update_keys = ["provider_sources", "provider", "platform"]
+                for key in no_update_keys:
+                    config[key] = self.acm.default_conf[key]
+
             await self._save_astrbot_configs(config, conf_id)
             await self.core_lifecycle.reload_pipeline_scheduler(conf_id)
             return Response().ok(None, "保存成功~").__dict__
@@ -573,28 +849,30 @@ class ConfigRoute(Route):
 
     async def post_new_provider(self):
         new_provider_config = await request.json
-        self.config["provider"].append(new_provider_config)
+
         try:
-            save_config(self.config, self.config, is_core=True)
-            await self.core_lifecycle.provider_manager.load_provider(
-                new_provider_config,
+            await self.core_lifecycle.provider_manager.create_provider(
+                new_provider_config
             )
         except Exception as e:
             return Response().error(str(e)).__dict__
-        return Response().ok(None, "新增服务提供商配置成功~").__dict__
+        return Response().ok(None, "新增服务提供商配置成功").__dict__
 
     async def post_update_platform(self):
         update_platform_config = await request.json
-        platform_id = update_platform_config.get("id", None)
+        origin_platform_id = update_platform_config.get("id", None)
         new_config = update_platform_config.get("config", None)
-        if not platform_id or not new_config:
+        if not origin_platform_id or not new_config:
             return Response().error("参数错误").__dict__
 
+        if origin_platform_id != new_config.get("id", None):
+            return Response().error("机器人名称不允许修改").__dict__
+
         # 如果是支持统一 webhook 模式的平台，且启用了统一 webhook 模式，确保有 webhook_uuid
         ensure_platform_webhook_config(new_config)
 
         for i, platform in enumerate(self.config["platform"]):
-            if platform["id"] == platform_id:
+            if platform["id"] == origin_platform_id:
                 self.config["platform"][i] = new_config
                 break
         else:
@@ -609,21 +887,15 @@ class ConfigRoute(Route):
 
     async def post_update_provider(self):
         update_provider_config = await request.json
-        provider_id = update_provider_config.get("id", None)
+        origin_provider_id = update_provider_config.get("id", None)
         new_config = update_provider_config.get("config", None)
-        if not provider_id or not new_config:
+        if not origin_provider_id or not new_config:
             return Response().error("参数错误").__dict__
 
-        for i, provider in enumerate(self.config["provider"]):
-            if provider["id"] == provider_id:
-                self.config["provider"][i] = new_config
-                break
-        else:
-            return Response().error("未找到对应服务提供商").__dict__
-
         try:
-            save_config(self.config, self.config, is_core=True)
-            await self.core_lifecycle.provider_manager.reload(new_config)
+            await self.core_lifecycle.provider_manager.update_provider(
+                origin_provider_id, new_config
+            )
         except Exception as e:
             return Response().error(str(e)).__dict__
         return Response().ok(None, "更新成功，已经实时生效~").__dict__
@@ -646,19 +918,17 @@ class ConfigRoute(Route):
 
     async def post_delete_provider(self):
         provider_id = await request.json
-        provider_id = provider_id.get("id")
-        for i, provider in enumerate(self.config["provider"]):
-            if provider["id"] == provider_id:
-                del self.config["provider"][i]
-                break
-        else:
-            return Response().error("未找到对应服务提供商").__dict__
+        provider_id = provider_id.get("id", "")
+        if not provider_id:
+            return Response().error("缺少参数 id").__dict__
+
         try:
-            save_config(self.config, self.config, is_core=True)
-            await self.core_lifecycle.provider_manager.terminate_provider(provider_id)
+            await self.core_lifecycle.provider_manager.delete_provider(
+                provider_id=provider_id
+            )
         except Exception as e:
             return Response().error(str(e)).__dict__
-        return Response().ok(None, "删除成功，已经实时生效~").__dict__
+        return Response().ok(None, "删除成功，已经实时生效。").__dict__
 
     async def get_llm_tools(self):
         """获取函数调用工具。包含了本地加载的以及 MCP 服务的工具"""

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] = {
-                "status": "processing",
-                "result": None,
-                "error": None,
-            }
+            self._init_task(task_id, status="processing")
             self.upload_progress[task_id] = {
                 "status": "processing",
                 "file_index": 0,
@@ -100,30 +156,20 @@ 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(
-                        {
-                            "status": "processing",
-                            "file_index": file_idx,
-                            "file_name": file_info["file_name"],
-                            "stage": "parsing",
-                            "current": 0,
-                            "total": 100,
-                        },
+                    self._update_progress(
+                        task_id,
+                        status="processing",
+                        file_index=file_idx,
+                        file_name=file_info["file_name"],
+                        stage="parsing",
+                        current=0,
+                        total=100,
                     )
 
                     # 创建进度回调函数
-                    async def progress_callback(stage, current, total):
-                        if task_id in self.upload_progress:
-                            self.upload_progress[task_id].update(
-                                {
-                                    "status": "processing",
-                                    "file_index": file_idx,
-                                    "file_name": file_info["file_name"],
-                                    "stage": stage,
-                                    "current": current,
-                                    "total": total,
-                                },
-                            )
+                    progress_callback = self._make_progress_callback(
+                        task_id, file_idx, file_info["file_name"]
+                    )
 
                     doc = await kb_helper.upload_document(
                         file_name=file_info["file_name"],
@@ -154,23 +200,99 @@ class KnowledgeBaseRoute(Route):
                 "failed_count": len(failed_docs),
             }
 
-            self.upload_tasks[task_id] = {
-                "status": "completed",
-                "result": result,
-                "error": None,
-            }
-            self.upload_progress[task_id]["status"] = "completed"
+            self._set_task_result(task_id, "completed", result=result)
 
         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] = {
-                "status": "failed",
-                "result": None,
-                "error": str(e),
+            self._set_task_result(task_id, "failed", error=str(e))
+
+    async def _background_import_task(
+        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] = {
-                "status": "pending",
-                "result": None,
-                "error": None,
-            }
+            self._init_task(task_id, status="pending")
 
             # 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] = {
-                "status": "pending",
-                "result": None,
-                "error": None,
-            }
+            self._init_task(task_id, status="pending")
 
             # 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] = {
-                "status": "processing",
-                "result": None,
-                "error": None,
-            }
+            self._init_task(task_id, status="processing")
             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):
-                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,
-                        },
-                    )
+            progress_callback = self._make_progress_callback(task_id, 0, f"URL: {url}")
 
             # 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] = {
-                "status": "completed",
-                "result": result,
-                "error": None,
-            }
-            self.upload_progress[task_id]["status"] = "completed"
+            self._set_task_result(task_id, "completed", result=result)
 
         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] = {
-                "status": "failed",
-                "result": None,
-                "error": str(e),
-            }
-            if task_id in self.upload_progress:
-                self.upload_progress[task_id]["status"] = "failed"
+            self._set_task_result(task_id, "failed", error=str(e))

astrbot/dashboard/routes/log.py

@@ -1,15 +1,26 @@
 import asyncio
 import json
+import time
+from collections.abc import AsyncGenerator
 from typing import cast
 
 from quart import Response as QuartResponse
-from quart import make_response
+from quart import make_response, request
 
 from astrbot.core import LogBroker, logger
 
 from .route import Response, Route, RouteContext
 
 
+def _format_log_sse(log: dict, ts: float) -> str:
+    """辅助函数：格式化 SSE 消息"""
+    payload = {
+        "type": "log",
+        **log,
+    }
+    return f"id: {ts}\ndata: {json.dumps(payload, ensure_ascii=False)}\n\n"
+
+
 class LogRoute(Route):
     def __init__(self, context: RouteContext, log_broker: LogBroker) -> None:
         super().__init__(context)
@@ -21,21 +32,44 @@ class LogRoute(Route):
             methods=["GET"],
         )
 
-    async def log(self):
+    async def _replay_cached_logs(
+        self, last_event_id: str
+    ) -> AsyncGenerator[str, None]:
+        """辅助生成器：重放缓存的日志"""
+        try:
+            last_ts = float(last_event_id)
+            cached_logs = list(self.log_broker.log_cache)
+
+            for log_item in cached_logs:
+                log_ts = float(log_item.get("time", 0))
+
+                if log_ts > last_ts:
+                    yield _format_log_sse(log_item, log_ts)
+
+        except ValueError:
+            pass
+        except Exception as e:
+            logger.error(f"Log SSE 补发历史错误: {e}")
+
+    async def log(self) -> QuartResponse:
+        last_event_id = request.headers.get("Last-Event-ID")
+
         async def stream():
             queue = None
             try:
+                if last_event_id:
+                    async for event in self._replay_cached_logs(last_event_id):
+                        yield event
+
                 queue = self.log_broker.register()
                 while True:
                     message = await queue.get()
-                    payload = {
-                        "type": "log",
-                        **message,  # see astrbot/core/log.py
-                    }
-                    yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
+                    current_ts = message.get("time", time.time())
+                    yield _format_log_sse(message, current_ts)
+
             except asyncio.CancelledError:
                 pass
-            except BaseException as e:
+            except Exception as e:
                 logger.error(f"Log SSE 连接错误: {e}")
             finally:
                 if queue:
@@ -53,7 +87,7 @@ class LogRoute(Route):
                 },
             ),
         )
-        response.timeout = None
+        response.timeout = None  # type: ignore
         return response
 
     async def log_history(self):
@@ -69,6 +103,6 @@ class LogRoute(Route):
                 )
                 .__dict__
             )
-        except BaseException as e:
+        except Exception as e:
             logger.error(f"获取日志历史失败: {e}")
             return Response().error(f"获取日志历史失败: {e}").__dict__

astrbot/dashboard/routes/plugin.py

@@ -124,7 +124,11 @@ class PluginRoute(Route):
                     session.get(url) as response,
                 ):
                     if response.status == 200:
-                        remote_data = await response.json()
+                        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 (

astrbot/dashboard/routes/stat.py

@@ -1,6 +1,9 @@
+import os
+import re
 import threading
 import time
 import traceback
+from functools import cmp_to_key
 
 import aiohttp
 import psutil
@@ -11,7 +14,9 @@ from astrbot.core.config import VERSION
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.migration.helper import check_migration_needed_v4
+from astrbot.core.utils.astrbot_path import get_astrbot_path
 from astrbot.core.utils.io import get_dashboard_version
+from astrbot.core.utils.version_comparator import VersionComparator
 
 from .route import Response, Route, RouteContext
 
@@ -30,6 +35,8 @@ class StatRoute(Route):
             "/stat/start-time": ("GET", self.get_start_time),
             "/stat/restart-core": ("POST", self.restart_core),
             "/stat/test-ghproxy-connection": ("POST", self.test_ghproxy_connection),
+            "/stat/changelog": ("GET", self.get_changelog),
+            "/stat/changelog/list": ("GET", self.list_changelog_versions),
         }
         self.db_helper = db_helper
         self.register_routes()
@@ -183,3 +190,92 @@ class StatRoute(Route):
         except Exception as e:
             logger.error(traceback.format_exc())
             return Response().error(f"Error: {e!s}").__dict__
+
+    async def get_changelog(self):
+        """获取指定版本的更新日志"""
+        try:
+            version = request.args.get("version")
+            if not version:
+                return Response().error("version parameter is required").__dict__
+
+            version = version.lstrip("v")
+
+            # 防止路径遍历攻击
+            if not re.match(r"^[a-zA-Z0-9._-]+$", version):
+                return Response().error("Invalid version format").__dict__
+            if ".." in version or "/" in version or "\\" in version:
+                return Response().error("Invalid version format").__dict__
+
+            filename = f"v{version}.md"
+            project_path = get_astrbot_path()
+            changelogs_dir = os.path.join(project_path, "changelogs")
+            changelog_path = os.path.join(changelogs_dir, filename)
+
+            # 规范化路径，防止符号链接攻击
+            changelog_path = os.path.realpath(changelog_path)
+            changelogs_dir = os.path.realpath(changelogs_dir)
+
+            # 验证最终路径在预期的 changelogs 目录内（防止路径遍历）
+            # 确保规范化后的路径以 changelogs_dir 开头，且是目录内的文件
+            changelog_path_normalized = os.path.normpath(changelog_path)
+            changelogs_dir_normalized = os.path.normpath(changelogs_dir)
+
+            # 检查路径是否在预期目录内（必须是目录的子文件，不能是目录本身）
+            expected_prefix = changelogs_dir_normalized + os.sep
+            if not changelog_path_normalized.startswith(expected_prefix):
+                logger.warning(
+                    f"Path traversal attempt detected: {version} -> {changelog_path}",
+                )
+                return Response().error("Invalid version format").__dict__
+
+            if not os.path.exists(changelog_path):
+                return (
+                    Response()
+                    .error(f"Changelog for version {version} not found")
+                    .__dict__
+                )
+            if not os.path.isfile(changelog_path):
+                return (
+                    Response()
+                    .error(f"Changelog for version {version} not found")
+                    .__dict__
+                )
+
+            with open(changelog_path, encoding="utf-8") as f:
+                content = f.read()
+
+            return Response().ok({"content": content, "version": version}).__dict__
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            return Response().error(f"Error: {e!s}").__dict__
+
+    async def list_changelog_versions(self):
+        """获取所有可用的更新日志版本列表"""
+        try:
+            project_path = get_astrbot_path()
+            changelogs_dir = os.path.join(project_path, "changelogs")
+
+            if not os.path.exists(changelogs_dir):
+                return Response().ok({"versions": []}).__dict__
+
+            versions = []
+            for filename in os.listdir(changelogs_dir):
+                if filename.endswith(".md") and filename.startswith("v"):
+                    # 提取版本号（去除 v 前缀和 .md 后缀）
+                    version = filename[1:-3]  # 去掉 "v" 和 ".md"
+                    # 验证版本号格式
+                    if re.match(r"^[a-zA-Z0-9._-]+$", version):
+                        versions.append(version)
+
+            # 按版本号排序（降序，最新的在前）
+            # 使用项目中的 VersionComparator 进行语义化版本号排序
+            versions.sort(
+                key=cmp_to_key(
+                    lambda v1, v2: VersionComparator.compare_version(v2, v1),
+                ),
+            )
+
+            return Response().ok({"versions": versions}).__dict__
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            return Response().error(f"Error: {e!s}").__dict__

astrbot/dashboard/routes/tools.py

@@ -3,6 +3,7 @@ import traceback
 from quart import request
 
 from astrbot.core import logger
+from astrbot.core.agent.mcp_client import MCPTool
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.star import star_map
 
@@ -296,15 +297,30 @@ class ToolsRoute(Route):
         """获取所有注册的工具列表"""
         try:
             tools = self.tool_mgr.func_list
-            tools_dict = [
-                {
+            tools_dict = []
+            for tool in tools:
+                if isinstance(tool, MCPTool):
+                    origin = "mcp"
+                    origin_name = tool.mcp_server_name
+                elif tool.handler_module_path and star_map.get(
+                    tool.handler_module_path
+                ):
+                    star = star_map[tool.handler_module_path]
+                    origin = "plugin"
+                    origin_name = star.name
+                else:
+                    origin = "unknown"
+                    origin_name = "unknown"
+
+                tool_info = {
                     "name": tool.name,
                     "description": tool.description,
                     "parameters": tool.parameters,
                     "active": tool.active,
+                    "origin": origin,
+                    "origin_name": origin_name,
                 }
-                for tool in tools
-            ]
+                tools_dict.append(tool_info)
             return Response().ok(data=tools_dict).__dict__
         except Exception as e:
             logger.error(traceback.format_exc())

astrbot/dashboard/server.py

@@ -19,6 +19,7 @@ from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 from astrbot.core.utils.io import get_local_ip_addresses
 
 from .routes import *
+from .routes.backup import BackupRoute
 from .routes.platform import PlatformRoute
 from .routes.route import Response, RouteContext
 from .routes.session_management import SessionManagementRoute
@@ -67,6 +68,7 @@ class AstrBotDashboard:
             core_lifecycle,
             core_lifecycle.plugin_manager,
         )
+        self.command_route = CommandRoute(self.context)
         self.cr = ConfigRoute(self.context, core_lifecycle)
         self.lr = LogRoute(self.context, core_lifecycle.log_broker)
         self.sfr = StaticFileRoute(self.context)
@@ -84,6 +86,7 @@ class AstrBotDashboard:
         self.t2i_route = T2iRoute(self.context, core_lifecycle)
         self.kb_route = KnowledgeBaseRoute(self.context, core_lifecycle)
         self.platform_route = PlatformRoute(self.context, core_lifecycle)
+        self.backup_route = BackupRoute(self.context, db, core_lifecycle)
 
         self.app.add_url_rule(
             "/api/plug/<path:subpath>",
@@ -107,7 +110,12 @@ class AstrBotDashboard:
     async def auth_middleware(self):
         if not request.path.startswith("/api"):
             return None
-        allowed_endpoints = ["/api/auth/login", "/api/file", "/api/platform/webhook"]
+        allowed_endpoints = [
+            "/api/auth/login",
+            "/api/file",
+            "/api/platform/webhook",
+            "/api/stat/start-time",
+        ]
         if any(request.path.startswith(prefix) for prefix in allowed_endpoints):
             return None
         # 声明 JWT

changelogs/v4.10.0-alpha.1.md

@@ -0,0 +1,34 @@
+## What's Changed
+
+> 📢 在升级前，请**完整阅读**本次更新日志。
+> 
+> **特别提醒：**
+> 1. 该版本为 alpha.1 预览版本。
+> 2. 本次升级**如果再降级**，会由于提供商配置的变更，导致提供商配置错乱，需要手动删除后重新添加。
+> 3. 此版本 WebUI 包体相较上一个版本增加约 **193%**，共约 **9.8 MB**，升级可能会需要一些时间。
+
+### 重构与优化
+
+- 重构 Provider 页面和提供商的配置结构，将 Chat Provider 配置拆分为 Provider Source（提供商源）和 Provider（代表提供商源的各个模型），引入了提供商模型自动发现、模型元数据自动发现的功能，**提供更加便捷的模型添加体验**。
+- ⚠️ 将 “MCP” 页面移动到了 “插件” 页面中
+- ⚠️ 将 “MCP” 页面中的工具管理移动到了 “插件” -> “管理行为” 中。
+- ⚠️ 将 “QQ 个人号（OneBot v11）” 机器人适配器类型更名为 “OneBot v11”，并将其 Logo 更改为 OneBot 的 Logo。
+- ⚠️ AstrBot WebChat 升级为 **AstrBot ChatUI**，入口从边栏修改为顶部（右上角）切换按钮。
+- 优化引用消息的逻辑，减少对模型输入缓存的破坏。
+
+### 修复
+
+- ‼️ 修复部分情况下，分段回复无法正常分段的问题。
+- 修复处理工具返回结果的过程中，导致一些直接发送图片的工具（如生图工具）无法正确发送到用户的问题。
+- 修复 WebChat 部分情况下，上一条消息文字内容增量到下一条消息的问题。
+
+### 新增
+
+- 支持**指令管理**，设置指令别名、解决指令冲突、查看指令详情等。入口：“插件” -> “管理行为”。
+- 支持 Google Gemini 3 系列引入的 [Thinking Level](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) 配置。
+- 支持记录每条 LLM 消息的耗时、Token 使用量、TTFT 数据，以及每次 Agent Loop 的各种统计数据。
+- AstrBot ChatUI 支持查看每条消息的 TTFT、Token 使用量数据。
+- AstrBot ChatUI 支持显示每次工具调用的耗时、参数和响应。
+- AstrBot ChatUI 支持渲染 Mermaid、LateX 内容，优化了 Code Block 的显示效果（使用 Monaco Editor），并减少 DOM 更新于内存占用。（Powered by [Simon-He95/markstream-vue](https://github.com/Simon-He95/markstream-vue)）
+- 支持查看 Changelog 历史版本更新日志。
+- 🎄

changelogs/v4.10.0-alpha.2.md

@@ -0,0 +1,44 @@
+## What's Changed
+
+> 📢 在升级前，请**完整阅读**本次更新日志。
+> 
+> **特别提醒：**
+> 1. 该版本为 alpha.2 预览版本。
+> 2. 本次升级**如果再降级**，会由于提供商配置的变更，导致提供商配置错乱，需要手动删除后重新添加。
+> 3. 此版本 WebUI 包体相较上一个版本增加约 **193%**，共约 **9.8 MB**，升级可能会需要一些时间。
+
+## alpha.1 -> alpha.2
+
+- 修复：“对话数据”页对话轨迹详情显示异常的问题
+- 优化：当 Agent 达到最大步数时的处理。在达到最大步数后，会移除所有请求中的 tools 并告知模型根据上下文进行最终总结。
+- 优化：LLM tools 执行的错误处理，减少工具调用无限循环的问题。
+- 优化：ChatUI 打开模型选择菜单时，会重新获取提供商配置。
+- 优化：ChatUI 新建对话并发送消息后，对话列表页自动选中该对话。
+
+## 4.10.0 变化
+
+### 重构与优化
+
+- 重构 Provider 页面和提供商的配置结构，将 Chat Provider 配置拆分为 Provider Source（提供商源）和 Provider（代表提供商源的各个模型），引入了提供商模型自动发现、模型元数据自动发现的功能，**提供更加便捷的模型添加体验**。
+- ⚠️ 将 “MCP” 页面移动到了 “插件” 页面中
+- ⚠️ 将 “MCP” 页面中的工具管理移动到了 “插件” -> “管理行为” 中。
+- ⚠️ 将 “QQ 个人号（OneBot v11）” 机器人适配器类型更名为 “OneBot v11”，并将其 Logo 更改为 OneBot 的 Logo。
+- ⚠️ AstrBot WebChat 升级为 **AstrBot ChatUI**，入口从边栏修改为顶部（右上角）切换按钮。
+- 优化引用消息的逻辑，减少对模型输入缓存的破坏。
+
+### 修复
+
+- ‼️ 修复部分情况下，分段回复无法正常分段的问题。
+- 修复处理工具返回结果的过程中，导致一些直接发送图片的工具（如生图工具）无法正确发送到用户的问题。
+- 修复 WebChat 部分情况下，上一条消息文字内容增量到下一条消息的问题。
+
+### 新增
+
+- 支持**指令管理**，设置指令别名、解决指令冲突、查看指令详情等。入口：“插件” -> “管理行为”。
+- 支持 Google Gemini 3 系列引入的 [Thinking Level](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) 配置。
+- 支持记录每条 LLM 消息的耗时、Token 使用量、TTFT 数据，以及每次 Agent Loop 的各种统计数据。
+- AstrBot ChatUI 支持查看每条消息的 TTFT、Token 使用量数据。
+- AstrBot ChatUI 支持显示每次工具调用的耗时、参数和响应。
+- AstrBot ChatUI 支持渲染 Mermaid、LateX 内容，优化了 Code Block 的显示效果（使用 Monaco Editor），并减少 DOM 更新于内存占用。（Powered by [Simon-He95/markstream-vue](https://github.com/Simon-He95/markstream-vue)）
+- 支持查看 Changelog 历史版本更新日志。
+- 🎄

changelogs/v4.10.0.md

@@ -0,0 +1,40 @@
+## What's Changed
+
+> 📢 在升级前，请**完整阅读**本次更新日志。
+> 
+> **特别提醒：**
+> 1. 本次升级**如果再降级**，会由于提供商配置的变更，导致提供商配置错乱，需要手动删除后重新添加。
+> 2. 此版本 WebUI 包体相较上一个版本增加约 **193%**，共约 **9.8 MB**，升级可能会需要一些时间。
+> 3. **升级后请务必确保 WebUI 和 AstrBot Core 版本一致**，否则会产生预期之外的情况。（判断方法：日志中出现 `WebUI 版本已是最新。` 即为一致的版本，`检测到 WebUI 版本 (xxx) 与当前 AstrBot 版本 (xxx) 不符。` 即为不一致的版本。此版本的判断方法也可通查看 WebUI 右上角是否出现 Bot / Chat 的切换按钮控件来判断是否是新版本的 WebUI）。
+> 4. 如果有任何问题请提交 [Issue](https://github.com/AstrBotDevs/AstrBot/issues) 并附带 `v4.10.0` tag。
+
+### 重构与优化
+
+- 重构 Provider 页面和提供商的配置结构，将 Chat Provider 配置拆分为 Provider Source（提供商源）和 Provider（代表提供商源的各个模型），引入了提供商模型自动发现、模型元数据自动发现的功能，**提供更加便捷的模型添加体验**。
+- ⚠️ 将 “MCP” 页面移动到了 “插件” 页面中
+- ⚠️ 将 “MCP” 页面中的工具管理移动到了 “插件” -> “管理行为” 中。
+- ⚠️ 将 “QQ 个人号（OneBot v11）” 机器人适配器类型更名为 “OneBot v11”，并将其 Logo 更改为 OneBot 的 Logo。
+- ⚠️ AstrBot WebChat 升级为 **AstrBot ChatUI**，入口从边栏修改为顶部（右上角）切换按钮。
+- 优化引用消息的逻辑，减少对模型输入缓存的破坏。
+- 优化当 Agent 达到最大步数时的处理。在达到最大步数后，会移除所有请求中的 tools 并告知模型根据上下文进行最终总结。
+- 优化 LLM tools 执行的错误处理，减少工具调用无限循环的问题。
+
+
+### 修复
+
+- ‼️ 修复部分情况下，分段回复无法正常分段的问题。
+- 修复处理工具返回结果的过程中，导致一些直接发送图片的工具（如生图工具）无法正确发送到用户的问题。
+- 修复 WebChat 部分情况下，上一条消息文字内容增量到下一条消息的问题。
+
+### 新增
+
+- 支持**指令管理**，设置指令别名、解决指令冲突、查看指令详情等。入口：“插件” -> “管理行为”。
+- 支持 Google Gemini 3 系列引入的 [Thinking Level](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) 配置。
+- 支持记录每条 LLM 消息的耗时、Token 使用量、TTFT 数据，以及每次 Agent Loop 的各种统计数据。
+- AstrBot ChatUI 支持查看每条消息的 TTFT、Token 使用量数据。
+- AstrBot ChatUI 支持显示每次工具调用的耗时、参数和响应。
+- AstrBot ChatUI 支持渲染 Mermaid、LateX 内容，优化了 Code Block 的显示效果（使用 Monaco Editor），并减少 DOM 更新于内存占用。（Powered by [Simon-He95/markstream-vue](https://github.com/Simon-He95/markstream-vue)）
+- 支持查看 Changelog 历史版本更新日志。
+- 🎄
+
+Merry Christmas!