chore: update version to v1.7.1 in service configuration

- Updated AIProviderBase and AIProviderUpdate to support new API formats: 'anthropic' and 'ollama'.
- Added SVG icons for Anthropic, Azure, Ollama, and Z.ai providers.
- Updated AI provider payload interface to include new formats.
- Enhanced English and Chinese localization for new providers and updated descriptions for OpenAI and Anthropic.
- Added new provider templates for Azure OpenAI, Anthropic, Z.ai, and Ollama in the settings tab.
- Updated the API format selection in the settings tab to include new options.

api/routers.py

@@ -11,10 +11,11 @@ from domain.processors import api as processors
 from domain.share import api as share
 from domain.tasks import api as tasks
 from domain.ai import api as ai
+from domain.agent import api as agent
 from domain.virtual_fs import api as virtual_fs
 from domain.virtual_fs.mapping import s3_api, webdav_api
 from domain.virtual_fs.search import search_api
-from domain.audit import router as audit
+from domain.audit import api as audit
 
 
 def include_routers(app: FastAPI):
@@ -30,9 +31,10 @@ def include_routers(app: FastAPI):
     app.include_router(backup.router)
     app.include_router(ai.router_vector_db)
     app.include_router(ai.router_ai)
+    app.include_router(agent.router)
     app.include_router(plugins.router)
     app.include_router(webdav_api.router)
     app.include_router(s3_api.router)
     app.include_router(offline_downloads.router)
     app.include_router(email.router)
-    app.include_router(audit)
+    app.include_router(audit.router)

db/session.py

@@ -1,6 +1,6 @@
 from tortoise import Tortoise
 
-from domain.adapters.registry import runtime_registry
+from domain.adapters import runtime_registry
 
 TORTOISE_ORM = {
     "connections": {"default": "sqlite://data/db/db.sqlite3"},

domain/__init__.py

@@ -0,0 +1,7 @@
+"""
+domain：业务域层
+
+约定：跨包只从各子包 `__init__.py` 导入公开 API。
+"""
+
+__all__: list[str] = []

domain/adapters/__init__.py

@@ -1 +1,24 @@
+from .providers import BaseAdapter
+from .registry import (
+    RuntimeRegistry,
+    discover_adapters,
+    get_config_schema,
+    get_config_schemas,
+    normalize_adapter_type,
+    runtime_registry,
+)
+from .service import AdapterService
+from .types import AdapterCreate, AdapterOut
 
+__all__ = [
+    "BaseAdapter",
+    "RuntimeRegistry",
+    "discover_adapters",
+    "get_config_schema",
+    "get_config_schemas",
+    "normalize_adapter_type",
+    "runtime_registry",
+    "AdapterService",
+    "AdapterCreate",
+    "AdapterOut",
+]

domain/adapters/api.py

@@ -4,10 +4,9 @@ from fastapi import APIRouter, Depends, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.adapters.service import AdapterService
-from domain.adapters.types import AdapterCreate
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
+from domain.auth import User, get_current_active_user
+from .service import AdapterService
+from .types import AdapterCreate
 
 router = APIRouter(prefix="/api/adapters", tags=["adapters"])
 

domain/adapters/providers/telegram.py

@@ -1,11 +1,26 @@
 from typing import List, Dict, Tuple, AsyncIterator
+import asyncio
+import base64
 import io
 import os
+import struct
 from models import StorageAdapter
 from telethon import TelegramClient
+from telethon.crypto import AuthKey
 from telethon.sessions import StringSession
+from telethon.tl import types
 import socks
 
+_SESSION_LOCKS: Dict[str, asyncio.Lock] = {}
+
+
+def _get_session_lock(session_string: str) -> asyncio.Lock:
+    lock = _SESSION_LOCKS.get(session_string)
+    if lock is None:
+        lock = asyncio.Lock()
+        _SESSION_LOCKS[session_string] = lock
+    return lock
+
 # 适配器类型标识
 ADAPTER_TYPE = "telegram"
 
@@ -54,9 +69,93 @@ class TelegramAdapter:
         if not all([self.api_id, self.api_hash, self.session_string, self.chat_id]):
             raise ValueError("Telegram 适配器需要 api_id, api_hash, session_string 和 chat_id")
 
+    @staticmethod
+    def _parse_legacy_session_string(value: str) -> StringSession:
+        """
+        兼容旧版 session_string 格式:
+        - version(1B char) + base64(data)
+        - data: dc_id(1B) + ip_len(2B) + ip(ASCII, ip_len bytes) + port(2B) + auth_key(256B)
+        """
+        s = (value or "").strip()
+        if not s:
+            raise ValueError("session_string 为空")
+
+        body = s[1:] if s.startswith("1") else s
+        raw = base64.urlsafe_b64decode(body)
+        if len(raw) < 1 + 2 + 2 + 256:
+            raise ValueError("legacy session 数据长度不足")
+
+        dc_id = raw[0]
+        ip_len = struct.unpack(">H", raw[1:3])[0]
+        expected_len = 1 + 2 + ip_len + 2 + 256
+        if len(raw) != expected_len:
+            raise ValueError("legacy session 数据长度不匹配")
+
+        ip_start = 3
+        ip_end = ip_start + ip_len
+        ip = raw[ip_start:ip_end].decode("utf-8")
+        port = struct.unpack(">H", raw[ip_end : ip_end + 2])[0]
+        key = raw[ip_end + 2 : ip_end + 2 + 256]
+
+        sess = StringSession()
+        sess.set_dc(dc_id, ip, port)
+        sess.auth_key = AuthKey(key)
+        return sess
+
+    @staticmethod
+    def _pick_photo_thumb(thumbs: list | None):
+        if not thumbs:
+            return None
+
+        cached = []
+        others = []
+        for t in thumbs:
+            if isinstance(t, (types.PhotoCachedSize, types.PhotoStrippedSize)):
+                cached.append(t)
+            elif isinstance(t, (types.PhotoSize, types.PhotoSizeProgressive)):
+                if not isinstance(t, types.PhotoSizeEmpty):
+                    others.append(t)
+
+        if cached:
+            cached.sort(key=lambda x: len(getattr(x, "bytes", b"") or b""))
+            return cached[-1]
+
+        if others:
+            def _sz(x):
+                if isinstance(x, types.PhotoSizeProgressive):
+                    return max(x.sizes or [0])
+                return int(getattr(x, "size", 0) or 0)
+
+            others.sort(key=_sz)
+            return others[-1]
+
+        return None
+
+    def _build_session(self) -> StringSession:
+        s = (self.session_string or "").strip()
+        if not s:
+            raise ValueError("Telegram 适配器 session_string 为空")
+
+        try:
+            return StringSession(s)
+        except Exception:
+            pass
+
+        # 少数工具可能去掉了 version 前缀，这里做一次兼容
+        if not s.startswith("1"):
+            try:
+                return StringSession("1" + s)
+            except Exception:
+                pass
+
+        try:
+            return self._parse_legacy_session_string(s)
+        except Exception as exc:
+            raise ValueError("Telegram session_string 无效，请使用 Telethon StringSession 重新生成") from exc
+
     def _get_client(self) -> TelegramClient:
         """创建一个新的 TelegramClient 实例"""
-        return TelegramClient(StringSession(self.session_string), self.api_id, self.api_hash, proxy=self.proxy)
+        return TelegramClient(self._build_session(), self.api_id, self.api_hash, proxy=self.proxy)
 
     def get_effective_root(self, sub_path: str | None) -> str:
         return ""
@@ -198,6 +297,41 @@ class TelegramAdapter:
     async def mkdir(self, root: str, rel: str):
         raise NotImplementedError("Telegram 适配器不支持创建目录。")
 
+    async def get_thumbnail(self, root: str, rel: str, size: str = "medium"):
+        try:
+            message_id_str, _ = rel.split('_', 1)
+            message_id = int(message_id_str)
+        except (ValueError, IndexError):
+            return None
+
+        client = self._get_client()
+        try:
+            await client.connect()
+            message = await client.get_messages(self.chat_id, ids=message_id)
+            if not message:
+                return None
+
+            doc = message.document or message.video
+            thumbs = None
+            if doc and getattr(doc, "thumbs", None):
+                thumbs = list(doc.thumbs or [])
+            elif message.photo and getattr(message.photo, "sizes", None):
+                thumbs = list(message.photo.sizes or [])
+
+            thumb = self._pick_photo_thumb(thumbs)
+            if not thumb:
+                return None
+
+            result = await client.download_media(message, bytes, thumb=thumb)
+            if isinstance(result, (bytes, bytearray)):
+                return bytes(result)
+            return None
+        except Exception:
+            return None
+        finally:
+            if client.is_connected():
+                await client.disconnect()
+
     async def delete(self, root: str, rel: str):
         """删除一个文件 (即一条消息)"""
         try:
@@ -236,6 +370,8 @@ class TelegramAdapter:
             raise HTTPException(status_code=400, detail=f"无效的文件路径格式: {rel}")
 
         client = self._get_client()
+        lock = _get_session_lock(self.session_string)
+        await lock.acquire()
         
         try:
             await client.connect()
@@ -273,7 +409,6 @@ class TelegramAdapter:
             headers = {
                 "Accept-Ranges": "bytes",
                 "Content-Type": mime_type,
-                "Content-Length": str(file_size),
             }
 
             if range_header:
@@ -285,7 +420,6 @@ class TelegramAdapter:
                     if start >= file_size or end >= file_size or start > end:
                         raise HTTPException(status_code=416, detail="Requested Range Not Satisfiable")
                     status = 206
-                    headers["Content-Length"] = str(end - start + 1)
                     headers["Content-Range"] = f"bytes {start}-{end}/{file_size}"
                 except ValueError:
                     raise HTTPException(status_code=400, detail="Invalid Range header")
@@ -304,18 +438,28 @@ class TelegramAdapter:
                         if downloaded >= limit:
                             break
                 finally:
-                    if client.is_connected():
-                        await client.disconnect()
+                    try:
+                        if client.is_connected():
+                            await client.disconnect()
+                    finally:
+                        lock.release()
 
             return StreamingResponse(iterator(), status_code=status, headers=headers)
 
+        except HTTPException:
+            if client.is_connected():
+                await client.disconnect()
+            lock.release()
+            raise
         except FileNotFoundError as e:
             if client.is_connected():
                 await client.disconnect()
+            lock.release()
             raise HTTPException(status_code=404, detail=str(e))
         except Exception as e:
             if client.is_connected():
                 await client.disconnect()
+            lock.release()
             raise HTTPException(status_code=500, detail=f"Streaming failed: {str(e)}")
 
     async def stat_file(self, root: str, rel: str):

domain/adapters/registry.py

@@ -4,7 +4,7 @@ from importlib import import_module
 from typing import Callable, Dict
 
 from models import StorageAdapter
-from domain.adapters.providers.base import BaseAdapter
+from .providers.base import BaseAdapter
 
 AdapterFactory = Callable[[StorageAdapter], BaseAdapter]
 
@@ -21,7 +21,7 @@ def normalize_adapter_type(value: str | None) -> str | None:
 
 def discover_adapters():
     """扫描 domain.adapters.providers 包, 自动注册适配器类型、工厂与配置 schema。"""
-    from domain.adapters import providers as adapters_pkg
+    from . import providers as adapters_pkg
 
     TYPE_MAP.clear()
     CONFIG_SCHEMAS.clear()

domain/adapters/service.py

@@ -2,13 +2,13 @@ from typing import Optional
 
 from fastapi import HTTPException
 
-from domain.adapters.registry import (
+from domain.auth import User
+from .registry import (
     get_config_schemas,
     normalize_adapter_type,
     runtime_registry,
 )
-from domain.adapters.types import AdapterCreate, AdapterOut
-from domain.auth.types import User
+from .types import AdapterCreate, AdapterOut
 from models import StorageAdapter
 
 

domain/agent/__init__.py

@@ -0,0 +1,9 @@
+from .service import AgentService
+from .types import AgentChatContext, AgentChatRequest, PendingToolCall
+
+__all__ = [
+    "AgentService",
+    "AgentChatContext",
+    "AgentChatRequest",
+    "PendingToolCall",
+]

domain/agent/api.py

@@ -0,0 +1,38 @@
+from typing import Annotated
+
+from fastapi import APIRouter, Depends, Request
+from fastapi.responses import StreamingResponse
+
+from api.response import success
+from domain.audit import AuditAction, audit
+from domain.auth import User, get_current_active_user
+from .service import AgentService
+from .types import AgentChatRequest
+
+
+router = APIRouter(prefix="/api/agent", tags=["agent"])
+
+
+@router.post("/chat")
+@audit(action=AuditAction.CREATE, description="Agent 对话", body_fields=["auto_execute"])
+async def chat(
+    request: Request,
+    payload: AgentChatRequest,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    data = await AgentService.chat(payload, current_user)
+    return success(data)
+
+
+@router.post("/chat/stream")
+@audit(action=AuditAction.CREATE, description="Agent 对话（SSE）", body_fields=["auto_execute"])
+async def chat_stream(
+    request: Request,
+    payload: AgentChatRequest,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    return StreamingResponse(
+        AgentService.chat_stream(payload, current_user),
+        media_type="text/event-stream",
+        headers={"Cache-Control": "no-cache"},
+    )

domain/agent/service.py

@@ -0,0 +1,470 @@
+import asyncio
+import json
+import uuid
+from typing import Any, Dict, List, Optional, Tuple
+
+import httpx
+from fastapi import HTTPException
+
+from domain.ai import AIProviderService, MissingModelError, chat_completion, chat_completion_stream
+from domain.auth import User
+from .tools import get_tool, openai_tools, tool_result_to_content
+from .types import AgentChatRequest, PendingToolCall
+
+
+def _normalize_path(p: Optional[str]) -> Optional[str]:
+    if not p:
+        return None
+    s = str(p).strip()
+    if not s:
+        return None
+    s = s.replace("\\", "/")
+    if not s.startswith("/"):
+        s = "/" + s
+    s = s.rstrip("/") or "/"
+    return s
+
+
+def _build_system_prompt(current_path: Optional[str]) -> str:
+    lines = [
+        "你是 Foxel 的 AI 助手。",
+        "你可以通过工具对文件/目录进行查询、读写、移动、复制、删除，以及运行处理器（processor）。",
+        "",
+        "可用工具：",
+        "- vfs_list_dir：浏览目录（列出 entries + pagination）。",
+        "- vfs_stat：查看文件/目录信息。",
+        "- vfs_read_text：读取文本文件内容（不支持二进制）。",
+        "- vfs_search：搜索文件（vector/filename）。",
+        "- vfs_write_text：写入文本文件内容（覆盖）。",
+        "- vfs_mkdir：创建目录。",
+        "- vfs_delete：删除文件或目录。",
+        "- vfs_move：移动路径。",
+        "- vfs_copy：复制路径。",
+        "- vfs_rename：重命名路径。",
+        "- processors_list：获取可用处理器列表（含 type/name/config_schema/produces_file/supports_directory）。",
+        "- processors_run：运行处理器处理文件或目录（会返回 task_id 或 task_ids）。",
+        "",
+        "规则：",
+        "1) 读操作（vfs_list_dir/vfs_stat/vfs_read_text/vfs_search）可直接调用工具。",
+        "2) 写/改/删操作（vfs_write_text/vfs_mkdir/vfs_delete/vfs_move/vfs_copy/vfs_rename/processors_run）默认需要用户确认；只有在开启自动执行时才应直接执行。",
+        "3) 用户未给出明确路径时先追问；若提供了“当前文件管理目录”，可以基于它把相对描述补全为绝对路径（以 / 开头）。",
+        "4) 修改文件内容：先读取（vfs_read_text）→给出改动点→确认后再写入（vfs_write_text）。",
+        "5) processors_run 返回任务 id 后，说明任务已提交，可在任务队列查看进度。",
+        "6) 回答保持简洁中文。",
+    ]
+    if current_path:
+        lines.append("")
+        lines.append(f"当前文件管理目录：{current_path}")
+    return "\n".join(lines)
+
+
+def _ensure_tool_call_ids(message: Dict[str, Any]) -> Dict[str, Any]:
+    tool_calls = message.get("tool_calls")
+    if not isinstance(tool_calls, list):
+        return message
+
+    changed = False
+    for idx, call in enumerate(tool_calls):
+        if not isinstance(call, dict):
+            continue
+        call_id = call.get("id")
+        if isinstance(call_id, str) and call_id.strip():
+            continue
+        call["id"] = f"call_{idx}"
+        changed = True
+
+    if changed:
+        message["tool_calls"] = tool_calls
+    return message
+
+
+def _extract_pending(tool_call: Dict[str, Any], requires_confirmation: bool) -> PendingToolCall:
+    call_id = str(tool_call.get("id") or "")
+    fn = tool_call.get("function") or {}
+    name = str((fn.get("name") if isinstance(fn, dict) else None) or "")
+    raw_args = fn.get("arguments") if isinstance(fn, dict) else None
+    arguments: Dict[str, Any] = {}
+    if isinstance(raw_args, str) and raw_args.strip():
+        try:
+            parsed = json.loads(raw_args)
+            if isinstance(parsed, dict):
+                arguments = parsed
+        except json.JSONDecodeError:
+            arguments = {}
+    return PendingToolCall(
+        id=call_id,
+        name=name,
+        arguments=arguments,
+        requires_confirmation=requires_confirmation,
+    )
+
+
+def _find_last_assistant_tool_calls(messages: List[Dict[str, Any]]) -> Tuple[int, Dict[str, Any]]:
+    for idx in range(len(messages) - 1, -1, -1):
+        msg = messages[idx]
+        if not isinstance(msg, dict):
+            continue
+        if msg.get("role") != "assistant":
+            continue
+        tool_calls = msg.get("tool_calls")
+        if isinstance(tool_calls, list) and tool_calls:
+            return idx, msg
+    raise HTTPException(status_code=400, detail="没有可确认的待执行操作")
+
+
+def _existing_tool_result_ids(messages: List[Dict[str, Any]]) -> set[str]:
+    ids: set[str] = set()
+    for msg in messages:
+        if not isinstance(msg, dict):
+            continue
+        if msg.get("role") != "tool":
+            continue
+        tool_call_id = msg.get("tool_call_id")
+        if isinstance(tool_call_id, str) and tool_call_id.strip():
+            ids.add(tool_call_id)
+    return ids
+
+
+async def _choose_chat_ability() -> str:
+    tools_model = await AIProviderService.get_default_model("tools")
+    return "tools" if tools_model else "chat"
+
+
+def _sse(event: str, data: Any) -> bytes:
+    payload = json.dumps(data, ensure_ascii=False, separators=(",", ":"))
+    return f"event: {event}\ndata: {payload}\n\n".encode("utf-8")
+
+
+def _format_exc(exc: BaseException) -> str:
+    text = str(exc)
+    return text if text else exc.__class__.__name__
+
+
+class AgentService:
+    @classmethod
+    async def chat(cls, req: AgentChatRequest, user: Optional[User]) -> Dict[str, Any]:
+        history: List[Dict[str, Any]] = list(req.messages or [])
+        current_path = _normalize_path(req.context.current_path if req.context else None)
+
+        system_prompt = _build_system_prompt(current_path)
+        internal_messages: List[Dict[str, Any]] = [{"role": "system", "content": system_prompt}] + history
+
+        new_messages: List[Dict[str, Any]] = []
+        pending: List[PendingToolCall] = []
+
+        approved_ids = {i for i in (req.approved_tool_call_ids or []) if isinstance(i, str) and i.strip()}
+        rejected_ids = {i for i in (req.rejected_tool_call_ids or []) if isinstance(i, str) and i.strip()}
+
+        if approved_ids or rejected_ids:
+            _, last_call_msg = _find_last_assistant_tool_calls(internal_messages)
+            last_call_msg = _ensure_tool_call_ids(last_call_msg)
+            tool_calls = last_call_msg.get("tool_calls") or []
+            call_map: Dict[str, Dict[str, Any]] = {
+                str(c.get("id")): c
+                for c in tool_calls
+                if isinstance(c, dict) and isinstance(c.get("id"), str)
+            }
+
+            existing_ids = _existing_tool_result_ids(internal_messages)
+            for call_id in approved_ids | rejected_ids:
+                if call_id in existing_ids:
+                    continue
+                tool_call = call_map.get(call_id)
+                if not tool_call:
+                    continue
+                fn = tool_call.get("function") or {}
+                name = fn.get("name") if isinstance(fn, dict) else None
+                args_raw = fn.get("arguments") if isinstance(fn, dict) else None
+                args: Dict[str, Any] = {}
+                if isinstance(args_raw, str) and args_raw.strip():
+                    try:
+                        parsed = json.loads(args_raw)
+                        if isinstance(parsed, dict):
+                            args = parsed
+                    except json.JSONDecodeError:
+                        args = {}
+
+                spec = get_tool(str(name or ""))
+                if call_id in rejected_ids:
+                    content = tool_result_to_content({"canceled": True, "reason": "user_rejected"})
+                    tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                    internal_messages.append(tool_msg)
+                    new_messages.append(tool_msg)
+                    continue
+
+                if not spec:
+                    content = tool_result_to_content({"error": f"unknown_tool: {name}"})
+                    tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                    internal_messages.append(tool_msg)
+                    new_messages.append(tool_msg)
+                    continue
+
+                try:
+                    result = await spec.handler(args)
+                    content = tool_result_to_content(result)
+                except Exception as exc:  # noqa: BLE001
+                    content = tool_result_to_content({"error": str(exc)})
+                tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                internal_messages.append(tool_msg)
+                new_messages.append(tool_msg)
+
+        tools_schema = openai_tools()
+        ability = await _choose_chat_ability()
+        max_loops = 4
+
+        for _ in range(max_loops):
+            try:
+                assistant = await chat_completion(
+                    internal_messages,
+                    ability=ability,
+                    tools=tools_schema,
+                    tool_choice="auto",
+                    timeout=60.0,
+                )
+            except MissingModelError as exc:
+                raise HTTPException(status_code=400, detail=str(exc)) from exc
+            except httpx.HTTPStatusError as exc:
+                raise HTTPException(status_code=502, detail=f"对话请求失败: {exc}") from exc
+            except httpx.RequestError as exc:
+                raise HTTPException(status_code=502, detail=f"对话请求异常: {exc}") from exc
+
+            assistant = _ensure_tool_call_ids(assistant)
+            internal_messages.append(assistant)
+            new_messages.append(assistant)
+
+            tool_calls = assistant.get("tool_calls")
+            if not isinstance(tool_calls, list) or not tool_calls:
+                break
+
+            pending = []
+            for call in tool_calls:
+                if not isinstance(call, dict):
+                    continue
+                call_id = str(call.get("id") or "")
+                fn = call.get("function") or {}
+                name = fn.get("name") if isinstance(fn, dict) else None
+                args_raw = fn.get("arguments") if isinstance(fn, dict) else None
+                args: Dict[str, Any] = {}
+                if isinstance(args_raw, str) and args_raw.strip():
+                    try:
+                        parsed = json.loads(args_raw)
+                        if isinstance(parsed, dict):
+                            args = parsed
+                    except json.JSONDecodeError:
+                        args = {}
+
+                spec = get_tool(str(name or ""))
+                if not spec:
+                    content = tool_result_to_content({"error": f"unknown_tool: {name}"})
+                    tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                    internal_messages.append(tool_msg)
+                    new_messages.append(tool_msg)
+                    continue
+
+                if spec.requires_confirmation and not req.auto_execute:
+                    pending.append(_extract_pending(call, True))
+                    continue
+
+                try:
+                    result = await spec.handler(args)
+                    content = tool_result_to_content(result)
+                except Exception as exc:  # noqa: BLE001
+                    content = tool_result_to_content({"error": str(exc)})
+                tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                internal_messages.append(tool_msg)
+                new_messages.append(tool_msg)
+
+            if pending:
+                break
+
+        payload: Dict[str, Any] = {"messages": new_messages}
+        if pending:
+            payload["pending_tool_calls"] = [p.model_dump() for p in pending]
+        return payload
+
+    @classmethod
+    async def chat_stream(cls, req: AgentChatRequest, user: Optional[User]):
+        history: List[Dict[str, Any]] = list(req.messages or [])
+        current_path = _normalize_path(req.context.current_path if req.context else None)
+
+        system_prompt = _build_system_prompt(current_path)
+        internal_messages: List[Dict[str, Any]] = [{"role": "system", "content": system_prompt}] + history
+
+        new_messages: List[Dict[str, Any]] = []
+        pending: List[PendingToolCall] = []
+
+        approved_ids = {i for i in (req.approved_tool_call_ids or []) if isinstance(i, str) and i.strip()}
+        rejected_ids = {i for i in (req.rejected_tool_call_ids or []) if isinstance(i, str) and i.strip()}
+
+        try:
+            if approved_ids or rejected_ids:
+                _, last_call_msg = _find_last_assistant_tool_calls(internal_messages)
+                last_call_msg = _ensure_tool_call_ids(last_call_msg)
+                tool_calls = last_call_msg.get("tool_calls") or []
+                call_map: Dict[str, Dict[str, Any]] = {
+                    str(c.get("id")): c
+                    for c in tool_calls
+                    if isinstance(c, dict) and isinstance(c.get("id"), str)
+                }
+
+                existing_ids = _existing_tool_result_ids(internal_messages)
+                for call_id in approved_ids | rejected_ids:
+                    if call_id in existing_ids:
+                        continue
+                    tool_call = call_map.get(call_id)
+                    if not tool_call:
+                        continue
+                    fn = tool_call.get("function") or {}
+                    name = fn.get("name") if isinstance(fn, dict) else None
+                    args_raw = fn.get("arguments") if isinstance(fn, dict) else None
+                    args: Dict[str, Any] = {}
+                    if isinstance(args_raw, str) and args_raw.strip():
+                        try:
+                            parsed = json.loads(args_raw)
+                            if isinstance(parsed, dict):
+                                args = parsed
+                        except json.JSONDecodeError:
+                            args = {}
+
+                    spec = get_tool(str(name or ""))
+                    if call_id in rejected_ids:
+                        content = tool_result_to_content({"canceled": True, "reason": "user_rejected"})
+                        tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                        internal_messages.append(tool_msg)
+                        new_messages.append(tool_msg)
+                        yield _sse("tool_end", {"tool_call_id": call_id, "name": str(name or ""), "message": tool_msg})
+                        continue
+
+                    if not spec:
+                        content = tool_result_to_content({"error": f"unknown_tool: {name}"})
+                        tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                        internal_messages.append(tool_msg)
+                        new_messages.append(tool_msg)
+                        yield _sse("tool_end", {"tool_call_id": call_id, "name": str(name or ""), "message": tool_msg})
+                        continue
+
+                    yield _sse("tool_start", {"tool_call_id": call_id, "name": spec.name})
+                    try:
+                        result = await spec.handler(args)
+                        content = tool_result_to_content(result)
+                    except Exception as exc:  # noqa: BLE001
+                        content = tool_result_to_content({"error": str(exc)})
+                    tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                    internal_messages.append(tool_msg)
+                    new_messages.append(tool_msg)
+                    yield _sse("tool_end", {"tool_call_id": call_id, "name": spec.name, "message": tool_msg})
+
+            tools_schema = openai_tools()
+            ability = await _choose_chat_ability()
+            max_loops = 4
+
+            for _ in range(max_loops):
+                assistant_event_id = uuid.uuid4().hex
+                yield _sse("assistant_start", {"id": assistant_event_id})
+
+                assistant_message: Dict[str, Any] | None = None
+                try:
+                    async for event in chat_completion_stream(
+                        internal_messages,
+                        ability=ability,
+                        tools=tools_schema,
+                        tool_choice="auto",
+                        timeout=60.0,
+                    ):
+                        if event.get("type") == "delta":
+                            delta = event.get("delta")
+                            if isinstance(delta, str) and delta:
+                                yield _sse("assistant_delta", {"id": assistant_event_id, "delta": delta})
+                        elif event.get("type") == "message":
+                            msg = event.get("message")
+                            if isinstance(msg, dict):
+                                assistant_message = msg
+                except MissingModelError as exc:
+                    raise HTTPException(status_code=400, detail=_format_exc(exc)) from exc
+                except httpx.HTTPStatusError as exc:
+                    raise HTTPException(status_code=502, detail=f"对话请求失败: {_format_exc(exc)}") from exc
+                except httpx.RequestError as exc:
+                    raise HTTPException(status_code=502, detail=f"对话请求异常: {_format_exc(exc)}") from exc
+
+                if not assistant_message:
+                    assistant_message = {"role": "assistant", "content": ""}
+
+                assistant_message = _ensure_tool_call_ids(assistant_message)
+                internal_messages.append(assistant_message)
+                new_messages.append(assistant_message)
+                yield _sse("assistant_end", {"id": assistant_event_id, "message": assistant_message})
+
+                tool_calls = assistant_message.get("tool_calls")
+                if not isinstance(tool_calls, list) or not tool_calls:
+                    break
+
+                pending = []
+                for call in tool_calls:
+                    if not isinstance(call, dict):
+                        continue
+                    call_id = str(call.get("id") or "")
+                    fn = call.get("function") or {}
+                    name = fn.get("name") if isinstance(fn, dict) else None
+                    args_raw = fn.get("arguments") if isinstance(fn, dict) else None
+                    args: Dict[str, Any] = {}
+                    if isinstance(args_raw, str) and args_raw.strip():
+                        try:
+                            parsed = json.loads(args_raw)
+                            if isinstance(parsed, dict):
+                                args = parsed
+                        except json.JSONDecodeError:
+                            args = {}
+
+                    spec = get_tool(str(name or ""))
+                    if not spec:
+                        content = tool_result_to_content({"error": f"unknown_tool: {name}"})
+                        tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                        internal_messages.append(tool_msg)
+                        new_messages.append(tool_msg)
+                        yield _sse("tool_end", {"tool_call_id": call_id, "name": str(name or ""), "message": tool_msg})
+                        continue
+
+                    if spec.requires_confirmation and not req.auto_execute:
+                        pending.append(_extract_pending(call, True))
+                        continue
+
+                    yield _sse("tool_start", {"tool_call_id": call_id, "name": spec.name})
+                    try:
+                        result = await spec.handler(args)
+                        content = tool_result_to_content(result)
+                    except Exception as exc:  # noqa: BLE001
+                        content = tool_result_to_content({"error": str(exc)})
+                    tool_msg = {"role": "tool", "tool_call_id": call_id, "content": content}
+                    internal_messages.append(tool_msg)
+                    new_messages.append(tool_msg)
+                    yield _sse("tool_end", {"tool_call_id": call_id, "name": spec.name, "message": tool_msg})
+
+                if pending:
+                    yield _sse("pending", {"pending_tool_calls": [p.model_dump() for p in pending]})
+                    break
+
+            payload: Dict[str, Any] = {"messages": new_messages}
+            if pending:
+                payload["pending_tool_calls"] = [p.model_dump() for p in pending]
+            yield _sse("done", payload)
+
+        except asyncio.CancelledError:
+            return
+        except HTTPException as exc:
+            detail = exc.detail
+            content = detail if isinstance(detail, str) else str(detail)
+            if not content.strip():
+                content = f"请求失败({exc.status_code})"
+            new_messages.append({"role": "assistant", "content": content})
+            payload: Dict[str, Any] = {"messages": new_messages}
+            if pending:
+                payload["pending_tool_calls"] = [p.model_dump() for p in pending]
+            yield _sse("done", payload)
+            return
+        except Exception as exc:  # noqa: BLE001
+            new_messages.append({"role": "assistant", "content": f"服务端异常: {_format_exc(exc)}"})
+            payload: Dict[str, Any] = {"messages": new_messages}
+            if pending:
+                payload["pending_tool_calls"] = [p.model_dump() for p in pending]
+            yield _sse("done", payload)
+            return

domain/agent/tools.py

@@ -0,0 +1,412 @@
+import json
+from dataclasses import dataclass
+from typing import Any, Awaitable, Callable, Dict, List, Optional
+
+from domain.processors import ProcessDirectoryRequest, ProcessRequest, ProcessorService
+from domain.virtual_fs import VirtualFSService
+from domain.virtual_fs.search import VirtualFSSearchService
+
+
+@dataclass(frozen=True)
+class ToolSpec:
+    name: str
+    description: str
+    parameters: Dict[str, Any]
+    requires_confirmation: bool
+    handler: Callable[[Dict[str, Any]], Awaitable[Any]]
+
+
+async def _processors_list(_: Dict[str, Any]) -> Dict[str, Any]:
+    return {"processors": ProcessorService.list_processors()}
+
+
+async def _processors_run(args: Dict[str, Any]) -> Dict[str, Any]:
+    path = str(args.get("path") or "")
+    processor_type = str(args.get("processor_type") or "")
+    config = args.get("config")
+    if not isinstance(config, dict):
+        config = {}
+
+    save_to = args.get("save_to")
+    save_to = str(save_to) if isinstance(save_to, str) and save_to.strip() else None
+
+    max_depth = args.get("max_depth")
+    max_depth_value: Optional[int] = None
+    if max_depth is not None:
+        try:
+            max_depth_value = int(max_depth)
+        except (TypeError, ValueError):
+            max_depth_value = None
+
+    suffix = args.get("suffix")
+    suffix_value = str(suffix) if isinstance(suffix, str) and suffix.strip() else None
+
+    overwrite_value = args.get("overwrite")
+    overwrite = bool(overwrite_value) if overwrite_value is not None else None
+
+    is_dir = await VirtualFSService.path_is_directory(path)
+    if is_dir and (max_depth_value is not None or suffix_value is not None):
+        req = ProcessDirectoryRequest(
+            path=path,
+            processor_type=processor_type,
+            config=config,
+            overwrite=True if overwrite is None else overwrite,
+            max_depth=max_depth_value,
+            suffix=suffix_value,
+        )
+        result = await ProcessorService.process_directory(req)
+        return {"mode": "directory", **result}
+
+    req = ProcessRequest(
+        path=path,
+        processor_type=processor_type,
+        config=config,
+        save_to=save_to,
+        overwrite=False if overwrite is None else overwrite,
+    )
+    result = await ProcessorService.process_file(req)
+    return {"mode": "file", **result}
+
+
+def _normalize_vfs_path(value: Any) -> str:
+    s = str(value or "").strip().replace("\\", "/")
+    if not s:
+        return ""
+    if not s.startswith("/"):
+        s = "/" + s
+    s = s.rstrip("/") or "/"
+    return s
+
+
+def _require_vfs_path(value: Any, field: str) -> str:
+    path = _normalize_vfs_path(value)
+    if not path:
+        raise ValueError(f"missing_{field}")
+    return path
+
+
+async def _vfs_list_dir(args: Dict[str, Any]) -> Dict[str, Any]:
+    path = _normalize_vfs_path(args.get("path") or "/") or "/"
+    page = int(args.get("page") or 1)
+    page_size = int(args.get("page_size") or 50)
+    sort_by = str(args.get("sort_by") or "name")
+    sort_order = str(args.get("sort_order") or "asc")
+    return await VirtualFSService.list_directory(path, page, page_size, sort_by, sort_order)
+
+
+async def _vfs_stat(args: Dict[str, Any]) -> Any:
+    path = _require_vfs_path(args.get("path"), "path")
+    return await VirtualFSService.stat(path)
+
+
+async def _vfs_read_text(args: Dict[str, Any]) -> Dict[str, Any]:
+    path = _require_vfs_path(args.get("path"), "path")
+    encoding = str(args.get("encoding") or "utf-8")
+    max_chars = int(args.get("max_chars") or 8000)
+
+    data = await VirtualFSService.read_file(path)
+    if isinstance(data, (bytes, bytearray)):
+        try:
+            text = bytes(data).decode(encoding)
+        except UnicodeDecodeError:
+            return {"error": "binary_or_invalid_text", "path": path}
+    elif isinstance(data, str):
+        text = data
+    else:
+        text = str(data)
+
+    original_len = len(text)
+    truncated = original_len > max_chars
+    if truncated:
+        text = text[:max_chars]
+    return {
+        "path": path,
+        "encoding": encoding,
+        "content": text,
+        "truncated": truncated,
+        "length": original_len,
+    }
+
+
+async def _vfs_write_text(args: Dict[str, Any]) -> Dict[str, Any]:
+    path = _require_vfs_path(args.get("path"), "path")
+    if path == "/":
+        raise ValueError("invalid_path")
+    encoding = str(args.get("encoding") or "utf-8")
+    content = str(args.get("content") or "")
+    data = content.encode(encoding)
+    await VirtualFSService.write_file(path, data)
+    return {"written": True, "path": path, "encoding": encoding, "bytes": len(data)}
+
+
+async def _vfs_mkdir(args: Dict[str, Any]) -> Dict[str, Any]:
+    path = _require_vfs_path(args.get("path"), "path")
+    return await VirtualFSService.mkdir(path)
+
+
+async def _vfs_delete(args: Dict[str, Any]) -> Dict[str, Any]:
+    path = _require_vfs_path(args.get("path"), "path")
+    return await VirtualFSService.delete(path)
+
+
+async def _vfs_move(args: Dict[str, Any]) -> Dict[str, Any]:
+    src = _require_vfs_path(args.get("src"), "src")
+    dst = _require_vfs_path(args.get("dst"), "dst")
+    if src == "/" or dst == "/":
+        raise ValueError("invalid_path")
+    overwrite = bool(args.get("overwrite") or False)
+    return await VirtualFSService.move(src, dst, overwrite)
+
+
+async def _vfs_copy(args: Dict[str, Any]) -> Dict[str, Any]:
+    src = _require_vfs_path(args.get("src"), "src")
+    dst = _require_vfs_path(args.get("dst"), "dst")
+    if src == "/" or dst == "/":
+        raise ValueError("invalid_path")
+    overwrite = bool(args.get("overwrite") or False)
+    return await VirtualFSService.copy(src, dst, overwrite)
+
+
+async def _vfs_rename(args: Dict[str, Any]) -> Dict[str, Any]:
+    src = _require_vfs_path(args.get("src"), "src")
+    dst = _require_vfs_path(args.get("dst"), "dst")
+    if src == "/" or dst == "/":
+        raise ValueError("invalid_path")
+    overwrite = bool(args.get("overwrite") or False)
+    return await VirtualFSService.rename(src, dst, overwrite)
+
+
+async def _vfs_search(args: Dict[str, Any]) -> Dict[str, Any]:
+    q = str(args.get("q") or "").strip()
+    if not q:
+        raise ValueError("missing_q")
+    mode = str(args.get("mode") or "vector")
+    top_k = int(args.get("top_k") or 10)
+    page = int(args.get("page") or 1)
+    page_size = int(args.get("page_size") or 10)
+    return await VirtualFSSearchService.search(q, top_k, mode, page, page_size)
+
+
+TOOLS: Dict[str, ToolSpec] = {
+    "processors_list": ToolSpec(
+        name="processors_list",
+        description="获取可用处理器列表（type/name/config_schema 等）。",
+        parameters={
+            "type": "object",
+            "properties": {},
+            "additionalProperties": False,
+        },
+        requires_confirmation=False,
+        handler=_processors_list,
+    ),
+    "processors_run": ToolSpec(
+        name="processors_run",
+        description=(
+            "运行处理器处理文件或目录。"
+            " 对目录可选 max_depth/suffix；对文件可选 overwrite/save_to。"
+            " 返回任务 id（去任务队列查看进度）。"
+        ),
+        parameters={
+            "type": "object",
+            "properties": {
+                "path": {"type": "string", "description": "文件或目录路径（绝对路径，如 /foo/bar）"},
+                "processor_type": {"type": "string", "description": "处理器类型（例如 image_watermark）"},
+                "config": {"type": "object", "description": "处理器配置，按 processors_list 返回的 config_schema 填写"},
+                "overwrite": {"type": "boolean", "description": "是否覆盖原文件/目录内文件"},
+                "save_to": {"type": "string", "description": "保存到指定路径（仅文件模式，且 overwrite=false 时使用）"},
+                "max_depth": {"type": "integer", "description": "目录遍历深度（仅目录模式）"},
+                "suffix": {"type": "string", "description": "目录批处理时的输出后缀（仅 produces_file 且 overwrite=false）"},
+            },
+            "required": ["path", "processor_type"],
+        },
+        requires_confirmation=True,
+        handler=_processors_run,
+    ),
+    "vfs_list_dir": ToolSpec(
+        name="vfs_list_dir",
+        description="浏览目录（列出 entries + pagination）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "path": {"type": "string", "description": "目录路径（绝对路径，如 /foo/bar）"},
+                "page": {"type": "integer", "description": "页码（从 1 开始）"},
+                "page_size": {"type": "integer", "description": "每页条数"},
+                "sort_by": {"type": "string", "description": "排序字段：name/size/mtime"},
+                "sort_order": {"type": "string", "description": "排序顺序：asc/desc"},
+            },
+            "required": ["path"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=False,
+        handler=_vfs_list_dir,
+    ),
+    "vfs_stat": ToolSpec(
+        name="vfs_stat",
+        description="查看文件/目录信息（size/mtime/is_dir/has_thumbnail/vector_index 等）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "path": {"type": "string", "description": "路径（绝对路径，如 /foo/bar.txt）"},
+            },
+            "required": ["path"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=False,
+        handler=_vfs_stat,
+    ),
+    "vfs_read_text": ToolSpec(
+        name="vfs_read_text",
+        description="读取文本文件内容（解码失败视为二进制，返回 error）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "path": {"type": "string", "description": "文件路径（绝对路径，如 /foo/bar.md）"},
+                "encoding": {"type": "string", "description": "文本编码（默认 utf-8）"},
+                "max_chars": {"type": "integer", "description": "最多返回的字符数（默认 8000）"},
+            },
+            "required": ["path"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=False,
+        handler=_vfs_read_text,
+    ),
+    "vfs_write_text": ToolSpec(
+        name="vfs_write_text",
+        description="写入文本文件内容（会覆盖目标文件）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "path": {"type": "string", "description": "文件路径（绝对路径，如 /foo/bar.md）"},
+                "content": {"type": "string", "description": "要写入的文本内容"},
+                "encoding": {"type": "string", "description": "文本编码（默认 utf-8）"},
+            },
+            "required": ["path", "content"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=True,
+        handler=_vfs_write_text,
+    ),
+    "vfs_mkdir": ToolSpec(
+        name="vfs_mkdir",
+        description="创建目录。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "path": {"type": "string", "description": "目录路径（绝对路径，如 /foo/bar）"},
+            },
+            "required": ["path"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=True,
+        handler=_vfs_mkdir,
+    ),
+    "vfs_delete": ToolSpec(
+        name="vfs_delete",
+        description="删除文件或目录（由底层适配器决定是否递归）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "path": {"type": "string", "description": "路径（绝对路径，如 /foo/bar 或 /foo/bar.txt）"},
+            },
+            "required": ["path"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=True,
+        handler=_vfs_delete,
+    ),
+    "vfs_move": ToolSpec(
+        name="vfs_move",
+        description="移动路径（可能进入任务队列）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "src": {"type": "string", "description": "源路径（绝对路径）"},
+                "dst": {"type": "string", "description": "目标路径（绝对路径）"},
+                "overwrite": {"type": "boolean", "description": "是否允许覆盖已存在目标（默认 false）"},
+            },
+            "required": ["src", "dst"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=True,
+        handler=_vfs_move,
+    ),
+    "vfs_copy": ToolSpec(
+        name="vfs_copy",
+        description="复制路径（可能进入任务队列）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "src": {"type": "string", "description": "源路径（绝对路径）"},
+                "dst": {"type": "string", "description": "目标路径（绝对路径）"},
+                "overwrite": {"type": "boolean", "description": "是否覆盖已存在目标（默认 false）"},
+            },
+            "required": ["src", "dst"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=True,
+        handler=_vfs_copy,
+    ),
+    "vfs_rename": ToolSpec(
+        name="vfs_rename",
+        description="重命名路径（本质是同目录 move）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "src": {"type": "string", "description": "源路径（绝对路径）"},
+                "dst": {"type": "string", "description": "目标路径（绝对路径）"},
+                "overwrite": {"type": "boolean", "description": "是否允许覆盖已存在目标（默认 false）"},
+            },
+            "required": ["src", "dst"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=True,
+        handler=_vfs_rename,
+    ),
+    "vfs_search": ToolSpec(
+        name="vfs_search",
+        description="搜索文件（mode=vector 或 filename）。",
+        parameters={
+            "type": "object",
+            "properties": {
+                "q": {"type": "string", "description": "搜索关键词"},
+                "mode": {"type": "string", "description": "搜索模式：vector/filename（默认 vector）"},
+                "top_k": {"type": "integer", "description": "返回数量（vector 模式使用，默认 10）"},
+                "page": {"type": "integer", "description": "页码（filename 模式使用，默认 1）"},
+                "page_size": {"type": "integer", "description": "分页大小（filename 模式使用，默认 10）"},
+            },
+            "required": ["q"],
+            "additionalProperties": False,
+        },
+        requires_confirmation=False,
+        handler=_vfs_search,
+    ),
+}
+
+
+def get_tool(name: str) -> Optional[ToolSpec]:
+    return TOOLS.get(name)
+
+
+def openai_tools() -> List[Dict[str, Any]]:
+    out: List[Dict[str, Any]] = []
+    for spec in TOOLS.values():
+        out.append({
+            "type": "function",
+            "function": {
+                "name": spec.name,
+                "description": spec.description,
+                "parameters": spec.parameters,
+            },
+        })
+    return out
+
+
+def tool_result_to_content(result: Any) -> str:
+    if result is None:
+        return ""
+    if isinstance(result, str):
+        return result
+    try:
+        return json.dumps(result, ensure_ascii=False)
+    except TypeError:
+        return json.dumps({"result": str(result)}, ensure_ascii=False)

domain/agent/types.py

@@ -0,0 +1,23 @@
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class AgentChatContext(BaseModel):
+    current_path: Optional[str] = None
+
+
+class AgentChatRequest(BaseModel):
+    messages: List[Dict[str, Any]] = Field(default_factory=list)
+    auto_execute: bool = False
+    approved_tool_call_ids: List[str] = Field(default_factory=list)
+    rejected_tool_call_ids: List[str] = Field(default_factory=list)
+    context: Optional[AgentChatContext] = None
+
+
+class PendingToolCall(BaseModel):
+    id: str
+    name: str
+    arguments: Dict[str, Any] = Field(default_factory=dict)
+    requires_confirmation: bool = True
+

domain/ai/__init__.py

@@ -1,28 +1,61 @@
-from .api import router_ai, router_vector_db
+from .inference import (
+    MissingModelError,
+    chat_completion,
+    chat_completion_stream,
+    describe_image_base64,
+    get_text_embedding,
+    provider_service,
+    rerank_texts,
+)
 from .service import (
     AIProviderService,
+    FILE_COLLECTION_NAME,
+    VECTOR_COLLECTION_NAME,
+    DEFAULT_VECTOR_DIMENSION,
     VectorDBConfigManager,
     VectorDBService,
-    DEFAULT_VECTOR_DIMENSION,
-    ABILITIES,
-    normalize_capabilities,
 )
 from .types import (
+    ABILITIES,
     AIDefaultsUpdate,
     AIModelCreate,
     AIModelUpdate,
     AIProviderCreate,
     AIProviderUpdate,
     VectorDBConfigPayload,
+    normalize_capabilities,
+)
+from .vector_providers import (
+    BaseVectorProvider,
+    MilvusLiteProvider,
+    MilvusServerProvider,
+    QdrantProvider,
+    get_provider_class,
+    get_provider_entry,
+    list_providers,
 )
 
 __all__ = [
-    "router_ai",
-    "router_vector_db",
+    "MissingModelError",
+    "chat_completion",
+    "chat_completion_stream",
+    "describe_image_base64",
+    "get_text_embedding",
+    "provider_service",
+    "rerank_texts",
     "AIProviderService",
     "VectorDBService",
     "VectorDBConfigManager",
     "DEFAULT_VECTOR_DIMENSION",
+    "VECTOR_COLLECTION_NAME",
+    "FILE_COLLECTION_NAME",
+    "BaseVectorProvider",
+    "MilvusLiteProvider",
+    "MilvusServerProvider",
+    "QdrantProvider",
+    "list_providers",
+    "get_provider_entry",
+    "get_provider_class",
     "ABILITIES",
     "normalize_capabilities",
     "AIDefaultsUpdate",

domain/ai/api.py

@@ -5,8 +5,9 @@ from fastapi import APIRouter, Depends, HTTPException, Path, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.ai.service import AIProviderService, VectorDBConfigManager, VectorDBService
-from domain.ai.types import (
+from domain.auth import User, get_current_active_user
+from .service import AIProviderService, VectorDBConfigManager, VectorDBService
+from .types import (
     AIDefaultsUpdate,
     AIModelCreate,
     AIModelUpdate,
@@ -14,9 +15,7 @@ from domain.ai.types import (
     AIProviderUpdate,
     VectorDBConfigPayload,
 )
-from domain.ai.vector_providers import get_provider_class, get_provider_entry, list_providers
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
+from .vector_providers import get_provider_class, get_provider_entry, list_providers
 
 router_ai = APIRouter(prefix="/api/ai", tags=["ai"])
 router_vector_db = APIRouter(prefix="/api/vector-db", tags=["vector-db"])

domain/ai/service.py

@@ -7,7 +7,7 @@ import httpx
 from tortoise.exceptions import DoesNotExist
 from tortoise.transactions import in_transaction
 
-from domain.config.service import ConfigService
+from domain.config import ConfigService
 from models.database import AIDefaultModel, AIModel, AIProvider
 
 from .types import ABILITIES, normalize_capabilities
@@ -140,7 +140,7 @@ def serialize_provider(provider: AIProvider) -> Dict[str, Any]:
         "provider_type": provider.provider_type,
         "api_format": provider.api_format,
         "base_url": provider.base_url,
-        "api_key": provider.api_key,
+        "has_api_key": bool(provider.api_key),
         "logo_url": provider.logo_url,
         "extra_config": provider.extra_config or {},
         "created_at": provider.created_at,

domain/ai/types.py

@@ -30,8 +30,8 @@ class AIProviderBase(BaseModel):
     @classmethod
     def normalize_format(cls, value: str) -> str:
         fmt = value.lower()
-        if fmt not in {"openai", "gemini"}:
-            raise ValueError("api_format must be 'openai' or 'gemini'")
+        if fmt not in {"openai", "gemini", "anthropic", "ollama"}:
+            raise ValueError("api_format must be 'openai', 'gemini', 'anthropic', or 'ollama'")
         return fmt
 
 
@@ -54,8 +54,8 @@ class AIProviderUpdate(BaseModel):
         if value is None:
             return value
         fmt = value.lower()
-        if fmt not in {"openai", "gemini"}:
-            raise ValueError("api_format must be 'openai' or 'gemini'")
+        if fmt not in {"openai", "gemini", "anthropic", "ollama"}:
+            raise ValueError("api_format must be 'openai', 'gemini', 'anthropic', or 'ollama'")
         return fmt
 
 

domain/audit/__init__.py

@@ -1,5 +1,4 @@
-from domain.audit.decorator import audit
-from domain.audit.types import AuditAction
-from domain.audit.api import router
+from .decorator import audit
+from .types import AuditAction
 
-__all__ = ["audit", "AuditAction", "router"]
+__all__ = ["audit", "AuditAction"]

domain/audit/api.py

@@ -4,10 +4,9 @@ from typing import Annotated, Optional
 from fastapi import APIRouter, Depends, HTTPException, Query
 
 from api import response
-from domain.audit.service import AuditService
-from domain.audit.types import AuditAction
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
+from domain.auth import User, get_current_active_user
+from .service import AuditService
+from .types import AuditAction
 
 CurrentUser = Annotated[User, Depends(get_current_active_user)]
 

domain/audit/decorator.py

@@ -7,11 +7,11 @@ import jwt
 from fastapi import Request
 from jwt.exceptions import InvalidTokenError
 
-from domain.audit.service import AuditService
-from domain.audit.types import AuditAction
-from domain.auth.service import ALGORITHM
-from domain.config.service import ConfigService
+from domain.auth import ALGORITHM
+from domain.config import ConfigService
 from models.database import UserAccount
+from .service import AuditService
+from .types import AuditAction
 
 
 def _extract_request(bound_args: Mapping[str, Any]) -> Request | None:

domain/audit/service.py

@@ -2,7 +2,7 @@ from typing import Any, Dict, Optional
 
 from models.database import AuditLog
 
-from domain.audit.types import AuditAction
+from .types import AuditAction
 
 
 class AuditService:

domain/auth/__init__.py

@@ -0,0 +1,49 @@
+from .service import (
+    ALGORITHM,
+    AuthService,
+    authenticate_user_db,
+    create_access_token,
+    get_current_active_user,
+    get_current_user,
+    get_password_hash,
+    has_users,
+    register_user,
+    request_password_reset,
+    reset_password_with_token,
+    verify_password,
+    verify_password_reset_token,
+)
+from .types import (
+    PasswordResetConfirm,
+    PasswordResetRequest,
+    RegisterRequest,
+    Token,
+    TokenData,
+    UpdateMeRequest,
+    User,
+    UserInDB,
+)
+
+__all__ = [
+    "ALGORITHM",
+    "AuthService",
+    "authenticate_user_db",
+    "create_access_token",
+    "get_current_active_user",
+    "get_current_user",
+    "get_password_hash",
+    "has_users",
+    "register_user",
+    "request_password_reset",
+    "reset_password_with_token",
+    "verify_password",
+    "verify_password_reset_token",
+    "PasswordResetConfirm",
+    "PasswordResetRequest",
+    "RegisterRequest",
+    "Token",
+    "TokenData",
+    "UpdateMeRequest",
+    "User",
+    "UserInDB",
+]

domain/auth/api.py

@@ -5,8 +5,8 @@ from fastapi.security import OAuth2PasswordRequestForm
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import AuthService, get_current_active_user
-from domain.auth.types import (
+from .service import AuthService, get_current_active_user
+from .types import (
     PasswordResetConfirm,
     PasswordResetRequest,
     RegisterRequest,

domain/auth/service.py

@@ -11,7 +11,9 @@ from fastapi import Depends, HTTPException, status
 from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
 from jwt.exceptions import InvalidTokenError
 
-from domain.auth.types import (
+from domain.config import ConfigService
+from models.database import UserAccount
+from .types import (
     PasswordResetConfirm,
     PasswordResetRequest,
     RegisterRequest,
@@ -21,8 +23,6 @@ from domain.auth.types import (
     User,
     UserInDB,
 )
-from models.database import UserAccount
-from domain.config.service import ConfigService
 
 ALGORITHM = "HS256"
 ACCESS_TOKEN_EXPIRE_MINUTES = 60 * 24 * 365
@@ -324,7 +324,7 @@ class AuthService:
 
     @classmethod
     async def _send_password_reset_email(cls, user: UserAccount, token: str) -> None:
-        from domain.email.service import EmailService
+        from domain.email import EmailService
 
         app_domain = await ConfigService.get("APP_DOMAIN", None)
         base_url = (app_domain or "http://localhost:5173").rstrip("/")

domain/backup/__init__.py

@@ -1 +1,7 @@
+from .service import BackupService
+from .types import BackupData
 
+__all__ = [
+    "BackupService",
+    "BackupData",
+]

domain/backup/api.py

@@ -4,8 +4,8 @@ from fastapi import APIRouter, Depends, File, Request, UploadFile
 from fastapi.responses import JSONResponse
 
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.backup.service import BackupService
+from domain.auth import get_current_active_user
+from .service import BackupService
 
 router = APIRouter(
     prefix="/api/backup",

domain/backup/service.py

@@ -4,8 +4,8 @@ from datetime import datetime
 from fastapi import HTTPException
 from tortoise.transactions import in_transaction
 
-from domain.backup.types import BackupData
-from domain.config.service import VERSION
+from domain.config import VERSION
+from .types import BackupData
 from models.database import (
     AIDefaultModel,
     AIModel,

domain/config/__init__.py

@@ -0,0 +1,10 @@
+from .service import ConfigService, VERSION
+from .types import ConfigItem, LatestVersionInfo, SystemStatus
+
+__all__ = [
+    "ConfigService",
+    "VERSION",
+    "ConfigItem",
+    "LatestVersionInfo",
+    "SystemStatus",
+]

domain/config/api.py

@@ -4,10 +4,9 @@ from fastapi import APIRouter, Depends, Form, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.config.service import ConfigService
-from domain.config.types import ConfigItem
+from domain.auth import User, get_current_active_user
+from .service import ConfigService
+from .types import ConfigItem
 
 router = APIRouter(prefix="/api/config", tags=["config"])
 

domain/config/service.py

@@ -5,12 +5,12 @@ from typing import Any, Dict, Optional
 import httpx
 from dotenv import load_dotenv
 
-from domain.config.types import LatestVersionInfo, SystemStatus
+from .types import LatestVersionInfo, SystemStatus
 from models.database import Configuration, UserAccount
 
 load_dotenv(dotenv_path=".env")
 
-VERSION = "v1.6.0"
+VERSION = "v1.7.1"
 
 
 class ConfigService:

domain/email/__init__.py

@@ -0,0 +1,20 @@
+from .service import EmailService, EmailTemplateRenderer
+from .types import (
+    EmailConfig,
+    EmailSecurity,
+    EmailSendPayload,
+    EmailTemplatePreviewPayload,
+    EmailTemplateUpdate,
+    EmailTestRequest,
+)
+
+__all__ = [
+    "EmailService",
+    "EmailTemplateRenderer",
+    "EmailConfig",
+    "EmailSecurity",
+    "EmailSendPayload",
+    "EmailTemplatePreviewPayload",
+    "EmailTemplateUpdate",
+    "EmailTestRequest",
+]

domain/email/api.py

@@ -2,10 +2,9 @@ from fastapi import APIRouter, Depends, HTTPException, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.email.service import EmailService, EmailTemplateRenderer
-from domain.email.types import (
+from domain.auth import User, get_current_active_user
+from .service import EmailService, EmailTemplateRenderer
+from .types import (
     EmailTemplatePreviewPayload,
     EmailTemplateUpdate,
     EmailTestRequest,

domain/email/service.py

@@ -7,8 +7,8 @@ from pathlib import Path
 from string import Template
 from typing import Any, Dict, List, Optional
 
-from domain.config.service import ConfigService
-from domain.email.types import EmailConfig, EmailSecurity, EmailSendPayload
+from domain.config import ConfigService
+from .types import EmailConfig, EmailSecurity, EmailSendPayload
 
 
 class EmailTemplateRenderer:
@@ -104,7 +104,7 @@ class EmailService:
         template: str,
         context: Optional[Dict[str, Any]] = None,
     ):
-        from domain.tasks.task_queue import TaskProgress, task_queue_service
+        from domain.tasks import TaskProgress, task_queue_service
 
         payload = EmailSendPayload(
             recipients=recipients,
@@ -126,7 +126,7 @@ class EmailService:
 
     @classmethod
     async def send_from_task(cls, task_id: str, data: Dict[str, Any]):
-        from domain.tasks.task_queue import TaskProgress, task_queue_service
+        from domain.tasks import TaskProgress, task_queue_service
 
         payload = EmailSendPayload(**data)
 

domain/offline_downloads/__init__.py

@@ -0,0 +1,7 @@
+from .service import OfflineDownloadService
+from .types import OfflineDownloadCreate
+
+__all__ = [
+    "OfflineDownloadService",
+    "OfflineDownloadCreate",
+]

domain/offline_downloads/api.py

@@ -4,10 +4,9 @@ from fastapi import APIRouter, Depends, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.offline_downloads.service import OfflineDownloadService
-from domain.offline_downloads.types import OfflineDownloadCreate
+from domain.auth import User, get_current_active_user
+from .service import OfflineDownloadService
+from .types import OfflineDownloadCreate
 
 CurrentUser = Annotated[User, Depends(get_current_active_user)]
 

domain/offline_downloads/service.py

@@ -7,11 +7,10 @@ import aiofiles
 import aiohttp
 from fastapi import Depends, HTTPException
 
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.offline_downloads.types import OfflineDownloadCreate
-from domain.virtual_fs.service import VirtualFSService
-from domain.tasks.task_queue import Task, TaskProgress, task_queue_service
+from domain.auth import User, get_current_active_user
+from domain.tasks import Task, TaskProgress, task_queue_service
+from domain.virtual_fs import VirtualFSService
+from .types import OfflineDownloadCreate
 
 
 class OfflineDownloadService:

domain/plugins/__init__.py

@@ -4,9 +4,9 @@ Foxel 插件系统
 提供 .foxpkg 插件包的安装、管理和运行时加载功能。
 """
 
-from domain.plugins.loader import PluginLoader, PluginLoadError
-from domain.plugins.service import PluginService
-from domain.plugins.startup import init_plugins, load_installed_plugins
+from .loader import PluginLoadError, PluginLoader
+from .service import PluginService
+from .startup import init_plugins, load_installed_plugins
 
 __all__ = [
     "PluginLoader",

domain/plugins/api.py

@@ -8,8 +8,8 @@ from fastapi import APIRouter, File, Request, UploadFile
 from fastapi.responses import FileResponse
 
 from domain.audit import AuditAction, audit
-from domain.plugins.service import PluginService
-from domain.plugins.types import (
+from .service import PluginService
+from .types import (
     PluginInstallResult,
     PluginOut,
 )
@@ -67,10 +67,12 @@ async def delete_plugin(request: Request, key_or_id: str):
 async def get_bundle(request: Request, key_or_id: str):
     """获取插件前端 bundle"""
     path = await PluginService.get_bundle_path(key_or_id)
+    v = (request.query_params.get("v") or "").strip()
+    cache_control = "public, max-age=31536000, immutable" if v else "no-cache"
     return FileResponse(
         path,
         media_type="application/javascript",
-        headers={"Cache-Control": "no-store"},
+        headers={"Cache-Control": cache_control},
     )
 
 

domain/plugins/loader.py

@@ -20,7 +20,7 @@ from typing import Any, Dict, List, Optional, Tuple
 
 from fastapi import APIRouter
 
-from domain.plugins.types import (
+from .types import (
     ManifestProcessorConfig,
     ManifestRouteConfig,
     PluginManifest,
@@ -344,7 +344,7 @@ class PluginLoader:
             supported_exts = getattr(module, "SUPPORTED_EXTS", [])
 
             # 注册到处理器注册表
-            from domain.processors.registry import CONFIG_SCHEMAS, TYPE_MAP
+            from domain.processors import CONFIG_SCHEMAS, TYPE_MAP
 
             processor_type = processor_config.type
             TYPE_MAP[processor_type] = factory
@@ -401,7 +401,7 @@ class PluginLoader:
         """
         # 卸载处理器
         if manifest and manifest.backend and manifest.backend.processors:
-            from domain.processors.registry import CONFIG_SCHEMAS, TYPE_MAP
+            from domain.processors import CONFIG_SCHEMAS, TYPE_MAP
 
             for proc_config in manifest.backend.processors:
                 proc_type = proc_config.type

domain/plugins/service.py

@@ -12,8 +12,8 @@ from typing import List, Optional, Union
 
 from fastapi import HTTPException
 
-from domain.plugins.loader import PluginLoadError, PluginLoader
-from domain.plugins.types import (
+from .loader import PluginLoadError, PluginLoader
+from .types import (
     PluginInstallResult,
     PluginManifest,
     PluginOut,

domain/plugins/startup.py

@@ -7,8 +7,8 @@
 import logging
 from typing import TYPE_CHECKING, List, Tuple
 
-from domain.plugins.loader import PluginLoadError, PluginLoader
-from domain.plugins.types import PluginManifest
+from .loader import PluginLoadError, PluginLoader
+from .types import PluginManifest
 
 if TYPE_CHECKING:
     from fastapi import FastAPI
@@ -113,4 +113,3 @@ async def init_plugins(app: "FastAPI") -> None:
             logger.warning(f"  - {error}")
     else:
         logger.info(f"插件加载完成，共 {loaded_count} 个插件")
-

domain/processors/__init__.py

@@ -0,0 +1,35 @@
+from .base import BaseProcessor
+from .registry import (
+    CONFIG_SCHEMAS,
+    TYPE_MAP,
+    get_config_schema,
+    get_config_schemas,
+    get_last_discovery_errors,
+    get_module_path,
+    reload_processors,
+)
+from .service import (
+    ProcessorService,
+    get_processor,
+    list_processors,
+    reload_processor_modules,
+)
+from .types import ProcessDirectoryRequest, ProcessRequest, UpdateSourceRequest
+
+__all__ = [
+    "BaseProcessor",
+    "CONFIG_SCHEMAS",
+    "TYPE_MAP",
+    "get_config_schema",
+    "get_config_schemas",
+    "get_last_discovery_errors",
+    "get_module_path",
+    "reload_processors",
+    "ProcessorService",
+    "get_processor",
+    "list_processors",
+    "reload_processor_modules",
+    "ProcessDirectoryRequest",
+    "ProcessRequest",
+    "UpdateSourceRequest",
+]

domain/processors/api.py

@@ -4,10 +4,9 @@ from fastapi import APIRouter, Body, Depends, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.processors.service import ProcessorService
-from domain.processors.types import (
+from domain.auth import User, get_current_active_user
+from .service import ProcessorService
+from .types import (
     ProcessDirectoryRequest,
     ProcessRequest,
     UpdateSourceRequest,

domain/processors/builtin/vector_index.py

@@ -8,12 +8,14 @@ from fastapi.responses import Response
 from PIL import Image
 
 from ..base import BaseProcessor
-from domain.ai.inference import describe_image_base64, get_text_embedding, provider_service
-from domain.ai.service import (
-    VectorDBService,
+from domain.ai import (
     DEFAULT_VECTOR_DIMENSION,
-    VECTOR_COLLECTION_NAME,
     FILE_COLLECTION_NAME,
+    VECTOR_COLLECTION_NAME,
+    VectorDBService,
+    describe_image_base64,
+    get_text_embedding,
+    provider_service,
 )
 
 

domain/processors/registry.py

@@ -5,7 +5,7 @@ from pathlib import Path
 from types import ModuleType
 from typing import Callable, Dict, Optional
 
-from domain.processors.base import BaseProcessor
+from .base import BaseProcessor
 
 ProcessorFactory = Callable[[], BaseProcessor]
 TYPE_MAP: Dict[str, ProcessorFactory] = {}
@@ -16,7 +16,7 @@ LAST_DISCOVERY_ERRORS: list[str] = []
 
 def discover_processors(force_reload: bool = False) -> list[str]:
     """扫描并缓存可用的处理器模块。"""
-    from domain.processors import builtin as processors_pkg
+    from . import builtin as processors_pkg
 
     TYPE_MAP.clear()
     CONFIG_SCHEMAS.clear()

domain/processors/service.py

@@ -3,20 +3,20 @@ from typing import List, Tuple
 
 from fastapi import HTTPException
 from fastapi.concurrency import run_in_threadpool
-from domain.processors.registry import (
+from domain.tasks import task_queue_service
+from domain.virtual_fs import VirtualFSService
+from .registry import (
     get,
     get_config_schema,
     get_config_schemas,
     get_module_path,
     reload_processors,
 )
-from domain.processors.types import (
+from .types import (
     ProcessDirectoryRequest,
     ProcessRequest,
     UpdateSourceRequest,
 )
-from domain.virtual_fs.service import VirtualFSService
-from domain.tasks.task_queue import task_queue_service
 
 
 class ProcessorService:

domain/repositories/__init__.py

@@ -0,0 +1 @@
+__all__: list[str] = []

domain/share/__init__.py

@@ -0,0 +1,10 @@
+from .service import ShareService
+from .types import ShareCreate, ShareInfo, ShareInfoWithPassword, SharePassword
+
+__all__ = [
+    "ShareService",
+    "ShareCreate",
+    "ShareInfo",
+    "ShareInfoWithPassword",
+    "SharePassword",
+]

domain/share/api.py

@@ -4,10 +4,9 @@ from fastapi import APIRouter, Depends, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.share.service import ShareService
-from domain.share.types import (
+from domain.auth import User, get_current_active_user
+from .service import ShareService
+from .types import (
     ShareCreate,
     ShareInfo,
     ShareInfoWithPassword,

domain/share/service.py

@@ -7,7 +7,7 @@ import bcrypt
 from fastapi import HTTPException, status
 from fastapi.responses import Response
 
-from domain.virtual_fs.service import VirtualFSService
+from domain.virtual_fs import VirtualFSService
 from models.database import ShareLink, UserAccount
 
 

domain/tasks/__init__.py

@@ -0,0 +1,24 @@
+from .service import TaskService
+from .task_queue import Task, TaskProgress, TaskStatus, task_queue_service
+from .types import (
+    AutomationTaskBase,
+    AutomationTaskCreate,
+    AutomationTaskRead,
+    AutomationTaskUpdate,
+    TaskQueueSettings,
+    TaskQueueSettingsResponse,
+)
+
+__all__ = [
+    "TaskService",
+    "Task",
+    "TaskProgress",
+    "TaskStatus",
+    "task_queue_service",
+    "AutomationTaskBase",
+    "AutomationTaskCreate",
+    "AutomationTaskRead",
+    "AutomationTaskUpdate",
+    "TaskQueueSettings",
+    "TaskQueueSettingsResponse",
+]

domain/tasks/api.py

@@ -2,9 +2,9 @@ from fastapi import APIRouter, Depends, Request
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.tasks.service import TaskService
-from domain.tasks.types import (
+from domain.auth import get_current_active_user
+from .service import TaskService
+from .types import (
     AutomationTaskCreate,
     AutomationTaskUpdate,
     TaskQueueSettings,

domain/tasks/service.py

@@ -3,17 +3,16 @@ from typing import Annotated, Any, Dict, Optional
 
 from fastapi import Depends, HTTPException
 
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.config.service import ConfigService
-from domain.tasks.types import (
+from domain.auth import User, get_current_active_user
+from domain.config import ConfigService
+from .task_queue import task_queue_service
+from .types import (
     AutomationTaskCreate,
     AutomationTaskUpdate,
     TaskQueueSettings,
     TaskQueueSettingsResponse,
 )
 from models.database import AutomationTask
-from domain.tasks.task_queue import task_queue_service
 
 
 class TaskService:

domain/tasks/task_queue.py

@@ -74,7 +74,7 @@ class TaskQueueService:
 
         try:
             # Local import to avoid circular dependency during module load.
-            from domain.virtual_fs.service import VirtualFSService
+            from domain.virtual_fs import VirtualFSService
 
             if task.name == "process_file":
                 params = task.task_info
@@ -88,7 +88,7 @@ class TaskQueueService:
                 task.result = result
             elif task.name == "automation_task" or self._is_processor_task(task.name):
                 from models.database import AutomationTask
-                from domain.processors.service import get_processor
+                from domain.processors import get_processor
 
                 params = task.task_info
                 auto_task = await AutomationTask.get(id=params["task_id"])
@@ -116,7 +116,7 @@ class TaskQueueService:
                     await VirtualFSService.write_file(save_to, result)
                 task.result = "Automation task completed"
             elif task.name == "offline_http_download":
-                from domain.offline_downloads.service import OfflineDownloadService
+                from domain.offline_downloads import OfflineDownloadService
 
                 result_path = await OfflineDownloadService.run_http_download(task)
                 task.result = {"path": result_path}
@@ -124,7 +124,7 @@ class TaskQueueService:
                 result = await VirtualFSService.run_cross_mount_transfer_task(task)
                 task.result = result
             elif task.name == "send_email":
-                from domain.email.service import EmailService
+                from domain.email import EmailService
                 await EmailService.send_from_task(task.id, task.task_info)
                 task.result = "Email sent"
             else:
@@ -141,7 +141,7 @@ class TaskQueueService:
 
     def _is_processor_task(self, task_name: str) -> bool:
         try:
-            from domain.processors.service import get_processor
+            from domain.processors import get_processor
 
             return get_processor(task_name) is not None
         except Exception:
@@ -180,7 +180,7 @@ class TaskQueueService:
 
     async def start_worker(self, concurrency: int | None = None):
         if concurrency is None:
-            from domain.config.service import ConfigService
+            from domain.config import ConfigService
 
             stored_value = await ConfigService.get("TASK_QUEUE_CONCURRENCY", self._concurrency)
             try:

domain/virtual_fs/__init__.py

@@ -0,0 +1,11 @@
+from .service import VirtualFSService
+from .types import DirListing, MkdirRequest, MoveRequest, SearchResultItem, VfsEntry
+
+__all__ = [
+    "VirtualFSService",
+    "DirListing",
+    "MkdirRequest",
+    "MoveRequest",
+    "SearchResultItem",
+    "VfsEntry",
+]

domain/virtual_fs/api.py

@@ -4,10 +4,9 @@ from fastapi import APIRouter, Depends, File, Query, Request, UploadFile
 
 from api.response import success
 from domain.audit import AuditAction, audit
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.virtual_fs.service import VirtualFSService
-from domain.virtual_fs.types import MkdirRequest, MoveRequest
+from domain.auth import User, get_current_active_user
+from .service import VirtualFSService
+from .types import MkdirRequest, MoveRequest
 
 router = APIRouter(prefix="/api/fs", tags=["virtual-fs"])
 

domain/virtual_fs/file_ops.py

@@ -4,8 +4,8 @@ from typing import Any, AsyncIterator, Union
 from fastapi import HTTPException
 from fastapi.responses import Response
 
-from domain.tasks.service import TaskService
-from domain.virtual_fs.thumbnail import is_raw_filename, raw_bytes_to_jpeg
+from domain.tasks import TaskService
+from .thumbnail import is_raw_filename, raw_bytes_to_jpeg
 
 from .listing import VirtualFSListingMixin
 

domain/virtual_fs/listing.py

@@ -3,9 +3,9 @@ from typing import Any, Dict, List, Tuple
 from fastapi import HTTPException
 
 from api.response import page
-from domain.adapters.registry import runtime_registry
-from domain.ai.service import VectorDBService, VECTOR_COLLECTION_NAME, FILE_COLLECTION_NAME
-from domain.virtual_fs.thumbnail import is_image_filename, is_video_filename
+from domain.adapters import runtime_registry
+from domain.ai import FILE_COLLECTION_NAME, VECTOR_COLLECTION_NAME, VectorDBService
+from .thumbnail import is_image_filename, is_video_filename
 from models import StorageAdapter
 
 from .resolver import VirtualFSResolverMixin

domain/virtual_fs/mapping/__init__.py

@@ -0,0 +1 @@
+__all__: list[str] = []

domain/virtual_fs/mapping/s3_api.py

@@ -15,8 +15,8 @@ from fastapi import APIRouter, Request, Response
 from fastapi import HTTPException
 
 from domain.audit import AuditAction, audit
-from domain.config.service import ConfigService
-from domain.virtual_fs.service import VirtualFSService
+from domain.config import ConfigService
+from domain.virtual_fs import VirtualFSService
 
 
 router = APIRouter(prefix="/s3", tags=["s3"])

domain/virtual_fs/mapping/webdav_api.py

@@ -9,10 +9,9 @@ from fastapi import APIRouter, Request, Response, HTTPException, Depends
 import xml.etree.ElementTree as ET
 
 from domain.audit import AuditAction, audit
-from domain.auth.service import AuthService
-from domain.auth.types import User, UserInDB
-from domain.virtual_fs.service import VirtualFSService
-from domain.config.service import ConfigService
+from domain.auth import AuthService, User, UserInDB
+from domain.config import ConfigService
+from domain.virtual_fs import VirtualFSService
 
 
 _WEBDAV_ENABLED_KEY = "WEBDAV_MAPPING_ENABLED"
@@ -172,12 +171,32 @@ async def propfind(
         ctype = None if is_dir else (mimetypes.guess_type(name)[0] or "application/octet-stream")
         responses.append(_build_prop_response(full_path, name, is_dir, size, mtime, ctype))
     except FileNotFoundError:
-        raise HTTPException(404, detail="Not found")
+        st = None
+    except HTTPException as e:
+        if e.status_code != 404:
+            raise
+        st = None
+
+    if st is None:
+        is_mount_root = False
+        try:
+            _, rel = await VirtualFSService.resolve_adapter_by_path(full_path)
+            is_mount_root = rel == ""
+        except HTTPException:
+            is_mount_root = False
+
+        if not is_mount_root and full_path != "/":
+            listing_probe = await VirtualFSService.list_virtual_dir(full_path, page_num=1, page_size=1)
+            if not (listing_probe.get("items") or []):
+                raise HTTPException(404, detail="Not found")
+
+        name = "/" if full_path == "/" else (full_path.rstrip("/").rsplit("/", 1)[-1] or "/")
+        responses.append(_build_prop_response(full_path, name, True, None, 0, None))
 
     if depth in ("1", "infinity"):
         try:
             listing = await VirtualFSService.list_virtual_dir(full_path, page_num=1, page_size=1000)
-            for ent in listing["items"]:
+            for ent in (listing.get("items") or []):
                 is_dir = bool(ent.get("is_dir"))
                 name = ent.get("name")
                 child_path = full_path.rstrip("/") + "/" + name

domain/virtual_fs/processing.py

@@ -16,7 +16,7 @@ class VirtualFSProcessingMixin(VirtualFSTransferMixin):
         save_to: str | None = None,
         overwrite: bool = False,
     ) -> Any:
-        from domain.processors.service import get_processor
+        from domain.processors import get_processor
 
         processor = get_processor(processor_type)
         if not processor:

domain/virtual_fs/resolver.py

@@ -3,7 +3,7 @@ from typing import Tuple
 from fastapi import HTTPException
 from fastapi.responses import Response
 
-from domain.adapters.registry import runtime_registry
+from domain.adapters import runtime_registry
 from models import StorageAdapter
 
 from .common import VirtualFSCommonMixin

domain/virtual_fs/routes.py

@@ -4,8 +4,8 @@ import re
 from fastapi import HTTPException, UploadFile
 from fastapi.responses import Response
 
-from domain.config.service import ConfigService
-from domain.virtual_fs.thumbnail import (
+from domain.config import ConfigService
+from .thumbnail import (
     get_or_create_thumb,
     is_image_filename,
     is_raw_filename,

domain/virtual_fs/search/__init__.py

@@ -0,0 +1,3 @@
+from .search_service import VirtualFSSearchService
+
+__all__ = ["VirtualFSSearchService"]

domain/virtual_fs/search/search_api.py

@@ -1,9 +1,8 @@
 from fastapi import APIRouter, Depends, Query
 
 from api.response import success
-from domain.auth.service import get_current_active_user
-from domain.auth.types import User
-from domain.virtual_fs.search.search_service import VirtualFSSearchService
+from domain.auth import User, get_current_active_user
+from .search_service import VirtualFSSearchService
 
 router = APIRouter(prefix="/api/fs/search", tags=["search"])
 

domain/virtual_fs/search/search_service.py

@@ -1,8 +1,7 @@
 from typing import Any, Dict, List, Tuple
 
-from domain.virtual_fs.types import SearchResultItem
-from domain.ai.inference import get_text_embedding
-from domain.ai.service import VectorDBService, VECTOR_COLLECTION_NAME, FILE_COLLECTION_NAME
+from domain.ai import FILE_COLLECTION_NAME, VECTOR_COLLECTION_NAME, VectorDBService, get_text_embedding
+from ..types import SearchResultItem
 
 
 def _normalize_result(raw: Dict[str, Any], source: str, fallback_score: float = 0.0) -> SearchResultItem:

domain/virtual_fs/temp_link.py

@@ -5,7 +5,7 @@ import time
 
 from fastapi import HTTPException
 
-from domain.config.service import ConfigService
+from domain.config import ConfigService
 
 from .processing import VirtualFSProcessingMixin
 

domain/virtual_fs/transfer.py

@@ -273,7 +273,7 @@ class VirtualFSTransferMixin(VirtualFSFileOpsMixin):
             "overwrite": overwrite,
         }
 
-        from domain.tasks.task_queue import task_queue_service
+        from domain.tasks import task_queue_service
 
         task = await task_queue_service.add_task("cross_mount_transfer", payload)
         return {
@@ -286,7 +286,7 @@ class VirtualFSTransferMixin(VirtualFSFileOpsMixin):
 
     @classmethod
     async def run_cross_mount_transfer_task(cls, task: "Task") -> Dict[str, Any]:
-        from domain.tasks.task_queue import task_queue_service
+        from domain.tasks import task_queue_service
 
         params = task.task_info or {}
         operation = params.get("operation")

main.py

@@ -2,15 +2,16 @@ import os
 from pathlib import Path
 from contextlib import asynccontextmanager
 
-from domain.config.service import ConfigService, VERSION
-from domain.adapters.registry import runtime_registry
+from domain.adapters import runtime_registry
+from domain.config import ConfigService, VERSION
 from db.session import close_db, init_db
 from api.routers import include_routers
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.staticfiles import StaticFiles
 from fastapi.responses import FileResponse
-from fastapi import FastAPI, HTTPException, Request
+from fastapi import FastAPI, HTTPException
 from fastapi.exceptions import RequestValidationError
+from starlette.exceptions import HTTPException as StarletteHTTPException
 from middleware.exception_handler import (
     global_exception_handler,
     http_exception_handler,
@@ -19,34 +20,45 @@ from middleware.exception_handler import (
 )
 import httpx
 from dotenv import load_dotenv
-from domain.tasks.task_queue import task_queue_service
+from domain.tasks import task_queue_service
 
 load_dotenv()
 
 
 class SPAStaticFiles(StaticFiles):
     async def get_response(self, path, scope):
-        response = await super().get_response(path, scope)
-        if response.status_code == 404:
-            return await super().get_response("index.html", scope)
+        try:
+            response = await super().get_response(path, scope)
+        except StarletteHTTPException as exc:
+            if exc.status_code != 404:
+                raise
+            if self._should_spa_fallback(scope):
+                return FileResponse(INDEX_FILE)
+            raise
+
+        if response.status_code == 404 and self._should_spa_fallback(scope):
+            return FileResponse(INDEX_FILE)
         return response
 
+    @staticmethod
+    def _should_spa_fallback(scope) -> bool:
+        return (
+            scope.get("method") == "GET"
+            and _request_accepts_html(scope)
+            and not (scope.get("path") or "").startswith(SPA_EXCLUDE_PREFIXES)
+            and INDEX_FILE.exists()
+        )
+
 
 INDEX_FILE = Path("web/dist/index.html")
 SPA_EXCLUDE_PREFIXES = ("/api", "/docs", "/openapi.json", "/webdav", "/s3")
 
 
-async def spa_fallback_middleware(request: Request, call_next):
-    response = await call_next(request)
-    if (
-        response.status_code == 404
-        and request.method == "GET"
-        and "text/html" in request.headers.get("accept", "")
-        and not request.url.path.startswith(SPA_EXCLUDE_PREFIXES)
-        and INDEX_FILE.exists()
-    ):
-        return FileResponse(INDEX_FILE)
-    return response
+def _request_accepts_html(scope) -> bool:
+    for k, v in scope.get("headers") or []:
+        if k == b"accept":
+            return "text/html" in v.decode("latin-1")
+    return False
 
 
 @asynccontextmanager
@@ -59,7 +71,7 @@ async def lifespan(app: FastAPI):
     await task_queue_service.start_worker()
 
     # 加载已安装的插件
-    from domain.plugins.startup import init_plugins
+    from domain.plugins import init_plugins
     await init_plugins(app)
 
     # 在所有路由加载完成后，挂载静态文件服务（放在最后以避免覆盖 API 路由）
@@ -78,7 +90,6 @@ def create_app() -> FastAPI:
         description="A highly extensible private cloud storage solution for individuals and teams",
         lifespan=lifespan,
     )
-    app.middleware("http")(spa_fallback_middleware)
     include_routers(app)
     app.add_exception_handler(HTTPException, http_exception_handler)
     app.add_exception_handler(RequestValidationError, validation_exception_handler)

setup/foxel_cli.py

@@ -13,8 +13,8 @@ PROJECT_ROOT = Path(__file__).resolve().parents[1]
 if str(PROJECT_ROOT) not in sys.path:
     sys.path.insert(0, str(PROJECT_ROOT))
 
-from domain.auth.service import get_password_hash
-from domain.config.service import VERSION
+from domain.config import VERSION
+from domain.auth import get_password_hash
 
 
 def _project_root() -> Path:

web/public/icon/anthropic.svg

@@ -0,0 +1 @@
+<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Anthropic</title><path d="M13.827 3.52h3.603L24 20h-3.603l-6.57-16.48zm-7.258 0h3.767L16.906 20h-3.674l-1.343-3.461H5.017l-1.344 3.46H0L6.57 3.522zm4.132 9.959L8.453 7.687 6.205 13.48H10.7z"></path></svg>

web/public/icon/azure-color.svg

@@ -0,0 +1 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Azure</title><path d="M7.242 1.613A1.11 1.11 0 018.295.857h6.977L8.03 22.316a1.11 1.11 0 01-1.052.755h-5.43a1.11 1.11 0 01-1.053-1.466L7.242 1.613z" fill="url(#lobe-icons-azure-fill-0)"></path><path d="M18.397 15.296H7.4a.51.51 0 00-.347.882l7.066 6.595c.206.192.477.298.758.298h6.226l-2.706-7.775z" fill="#0078D4"></path><path d="M15.272.857H7.497L0 23.071h7.775l1.596-4.73 5.068 4.73h6.665l-2.707-7.775h-7.998L15.272.857z" fill="url(#lobe-icons-azure-fill-1)"></path><path d="M17.193 1.613a1.11 1.11 0 00-1.052-.756h-7.81.035c.477 0 .9.304 1.052.756l6.748 19.992a1.11 1.11 0 01-1.052 1.466h-.12 7.895a1.11 1.11 0 001.052-1.466L17.193 1.613z" fill="url(#lobe-icons-azure-fill-2)"></path><defs><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-azure-fill-0" x1="8.247" x2="1.002" y1="1.626" y2="23.03"><stop stop-color="#114A8B"></stop><stop offset="1" stop-color="#0669BC"></stop></linearGradient><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-azure-fill-1" x1="14.042" x2="12.324" y1="15.302" y2="15.888"><stop stop-opacity=".3"></stop><stop offset=".071" stop-opacity=".2"></stop><stop offset=".321" stop-opacity=".1"></stop><stop offset=".623" stop-opacity=".05"></stop><stop offset="1" stop-opacity="0"></stop></linearGradient><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-azure-fill-2" x1="12.841" x2="20.793" y1="1.626" y2="22.814"><stop stop-color="#3CCBF4"></stop><stop offset="1" stop-color="#2892DF"></stop></linearGradient></defs></svg>

web/public/icon/ollama.svg

@@ -0,0 +1 @@
+<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Ollama</title><path d="M7.905 1.09c.216.085.411.225.588.41.295.306.544.744.734 1.263.191.522.315 1.1.362 1.68a5.054 5.054 0 012.049-.636l.051-.004c.87-.07 1.73.087 2.48.474.101.053.2.11.297.17.05-.569.172-1.134.36-1.644.19-.52.439-.957.733-1.264a1.67 1.67 0 01.589-.41c.257-.1.53-.118.796-.042.401.114.745.368 1.016.737.248.337.434.769.561 1.287.23.934.27 2.163.115 3.645l.053.04.026.019c.757.576 1.284 1.397 1.563 2.35.435 1.487.216 3.155-.534 4.088l-.018.021.002.003c.417.762.67 1.567.724 2.4l.002.03c.064 1.065-.2 2.137-.814 3.19l-.007.01.01.024c.472 1.157.62 2.322.438 3.486l-.006.039a.651.651 0 01-.747.536.648.648 0 01-.54-.742c.167-1.033.01-2.069-.48-3.123a.643.643 0 01.04-.617l.004-.006c.604-.924.854-1.83.8-2.72-.046-.779-.325-1.544-.8-2.273a.644.644 0 01.18-.886l.009-.006c.243-.159.467-.565.58-1.12a4.229 4.229 0 00-.095-1.974c-.205-.7-.58-1.284-1.105-1.683-.595-.454-1.383-.673-2.38-.61a.653.653 0 01-.632-.371c-.314-.665-.772-1.141-1.343-1.436a3.288 3.288 0 00-1.772-.332c-1.245.099-2.343.801-2.67 1.686a.652.652 0 01-.61.425c-1.067.002-1.893.252-2.497.703-.522.39-.878.935-1.066 1.588a4.07 4.07 0 00-.068 1.886c.112.558.331 1.02.582 1.269l.008.007c.212.207.257.53.109.785-.36.622-.629 1.549-.673 2.44-.05 1.018.186 1.902.719 2.536l.016.019a.643.643 0 01.095.69c-.576 1.236-.753 2.252-.562 3.052a.652.652 0 01-1.269.298c-.243-1.018-.078-2.184.473-3.498l.014-.035-.008-.012a4.339 4.339 0 01-.598-1.309l-.005-.019a5.764 5.764 0 01-.177-1.785c.044-.91.278-1.842.622-2.59l.012-.026-.002-.002c-.293-.418-.51-.953-.63-1.545l-.005-.024a5.352 5.352 0 01.093-2.49c.262-.915.777-1.701 1.536-2.269.06-.045.123-.09.186-.132-.159-1.493-.119-2.73.112-3.67.127-.518.314-.95.562-1.287.27-.368.614-.622 1.015-.737.266-.076.54-.059.797.042zm4.116 9.09c.936 0 1.8.313 2.446.855.63.527 1.005 1.235 1.005 1.94 0 .888-.406 1.58-1.133 2.022-.62.375-1.451.557-2.403.557-1.009 0-1.871-.259-2.493-.734-.617-.47-.963-1.13-.963-1.845 0-.707.398-1.417 1.056-1.946.668-.537 1.55-.849 2.485-.849zm0 .896a3.07 3.07 0 00-1.916.65c-.461.37-.722.835-.722 1.25 0 .428.21.829.61 1.134.455.347 1.124.548 1.943.548.799 0 1.473-.147 1.932-.426.463-.28.7-.686.7-1.257 0-.423-.246-.89-.683-1.256-.484-.405-1.14-.643-1.864-.643zm.662 1.21l.004.004c.12.151.095.37-.056.49l-.292.23v.446a.375.375 0 01-.376.373.375.375 0 01-.376-.373v-.46l-.271-.218a.347.347 0 01-.052-.49.353.353 0 01.494-.051l.215.172.22-.174a.353.353 0 01.49.051zm-5.04-1.919c.478 0 .867.39.867.871a.87.87 0 01-.868.871.87.87 0 01-.867-.87.87.87 0 01.867-.872zm8.706 0c.48 0 .868.39.868.871a.87.87 0 01-.868.871.87.87 0 01-.867-.87.87.87 0 01.867-.872zM7.44 2.3l-.003.002a.659.659 0 00-.285.238l-.005.006c-.138.189-.258.467-.348.832-.17.692-.216 1.631-.124 2.782.43-.128.899-.208 1.404-.237l.01-.001.019-.034c.046-.082.095-.161.148-.239.123-.771.022-1.692-.253-2.444-.134-.364-.297-.65-.453-.813a.628.628 0 00-.107-.09L7.44 2.3zm9.174.04l-.002.001a.628.628 0 00-.107.09c-.156.163-.32.45-.453.814-.29.794-.387 1.776-.23 2.572l.058.097.008.014h.03a5.184 5.184 0 011.466.212c.086-1.124.038-2.043-.128-2.722-.09-.365-.21-.643-.349-.832l-.004-.006a.659.659 0 00-.285-.239h-.004z"></path></svg>

web/public/icon/zai.svg

@@ -0,0 +1 @@
+<svg fill="currentColor" fill-rule="evenodd" height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Z.ai</title><path d="M12.105 2L9.927 4.953H.653L2.83 2h9.276zM23.254 19.048L21.078 22h-9.242l2.174-2.952h9.244zM24 2L9.264 22H0L14.736 2H24z"></path></svg>

web/src/api/agent.ts

@@ -0,0 +1,121 @@
+import request, { API_BASE_URL } from './client';
+
+export type AgentChatMessage = Record<string, any>;
+
+export interface AgentChatContext {
+  current_path?: string | null;
+}
+
+export interface AgentChatRequest {
+  messages: AgentChatMessage[];
+  auto_execute?: boolean;
+  approved_tool_call_ids?: string[];
+  rejected_tool_call_ids?: string[];
+  context?: AgentChatContext;
+}
+
+export interface PendingToolCall {
+  id: string;
+  name: string;
+  arguments: Record<string, any>;
+  requires_confirmation: boolean;
+}
+
+export interface AgentChatResponse {
+  messages: AgentChatMessage[];
+  pending_tool_calls?: PendingToolCall[];
+}
+
+export type AgentSseEvent =
+  | { event: 'assistant_start'; data: { id: string } }
+  | { event: 'assistant_delta'; data: { id: string; delta: string } }
+  | { event: 'assistant_end'; data: { id: string; message: AgentChatMessage } }
+  | { event: 'tool_start'; data: { tool_call_id: string; name: string } }
+  | { event: 'tool_end'; data: { tool_call_id: string; name: string; message: AgentChatMessage } }
+  | { event: 'pending'; data: { pending_tool_calls: PendingToolCall[] } }
+  | { event: 'done'; data: AgentChatResponse };
+
+export const agentApi = {
+  chat: (payload: AgentChatRequest) =>
+    request<AgentChatResponse>('/agent/chat', {
+      method: 'POST',
+      json: payload,
+    }),
+  chatStream: async (
+    payload: AgentChatRequest,
+    onEvent: (evt: AgentSseEvent) => void,
+    options?: { signal?: AbortSignal }
+  ) => {
+    const headers: Record<string, string> = {
+      'Content-Type': 'application/json',
+      'Accept': 'text/event-stream',
+    };
+    const token = localStorage.getItem('token');
+    if (token) headers['Authorization'] = `Bearer ${token}`;
+
+    const resp = await fetch(`${API_BASE_URL}/agent/chat/stream`, {
+      method: 'POST',
+      headers,
+      body: JSON.stringify(payload),
+      signal: options?.signal,
+    });
+
+    if (!resp.ok) {
+      let errMsg = resp.statusText;
+      try {
+        const data = await resp.json();
+        if (Array.isArray((data as any)?.detail)) {
+          errMsg = (data as any).detail.map((e: any) => e.msg || JSON.stringify(e)).join('; ');
+        } else {
+          errMsg = (typeof (data as any)?.detail === 'string') ? (data as any).detail : JSON.stringify(data);
+        }
+      } catch {
+        try {
+          errMsg = await resp.text();
+        } catch { void 0; }
+      }
+      throw new Error(errMsg || `Request failed: ${resp.status}`);
+    }
+
+    const reader = resp.body?.getReader();
+    if (!reader) throw new Error('Stream not supported');
+
+    const decoder = new TextDecoder();
+    let buffer = '';
+
+    const flush = (raw: string) => {
+      const lines = raw.split(/\r?\n/);
+      let eventName = 'message';
+      const dataLines: string[] = [];
+      for (const line of lines) {
+        if (line.startsWith('event:')) {
+          eventName = line.slice(6).trim();
+        } else if (line.startsWith('data:')) {
+          dataLines.push(line.slice(5).trimStart());
+        }
+      }
+      const dataStr = dataLines.join('\n').trim();
+      if (!eventName || !dataStr) return;
+      try {
+        const data = JSON.parse(dataStr);
+        onEvent({ event: eventName as any, data } as any);
+      } catch {
+        // ignore parse error
+      }
+    };
+
+    while (true) {
+      const { value, done } = await reader.read();
+      if (done) break;
+      buffer += decoder.decode(value, { stream: true });
+      while (true) {
+        const idx = buffer.indexOf('\n\n');
+        if (idx === -1) break;
+        const chunk = buffer.slice(0, idx);
+        buffer = buffer.slice(idx + 2);
+        if (chunk.trim()) flush(chunk);
+      }
+    }
+    if (buffer.trim()) flush(buffer);
+  },
+};

web/src/api/aiProviders.ts

@@ -6,15 +6,16 @@ export interface AIProviderPayload {
   name: string;
   identifier: string;
   provider_type?: string | null;
-  api_format: 'openai' | 'gemini';
+  api_format: 'openai' | 'gemini' | 'anthropic' | 'ollama';
   base_url?: string | null;
   api_key?: string | null;
   logo_url?: string | null;
   extra_config?: Record<string, unknown> | null;
 }
 
-export interface AIProvider extends Omit<AIProviderPayload, 'extra_config'> {
+export interface AIProvider extends Omit<AIProviderPayload, 'extra_config' | 'api_key'> {
   id: number;
+  has_api_key: boolean;
   extra_config: Record<string, unknown>;
   created_at: string;
   updated_at: string;

web/src/apps/PluginHost/index.tsx

@@ -7,10 +7,22 @@ export interface PluginAppHostProps extends AppComponentProps {
 }
 
 function buildPluginFrameUrl(params: Record<string, string>): string {
-  const qs = new URLSearchParams(params);
+  const qs = new URLSearchParams();
+  Object.entries(params).forEach(([k, v]) => {
+    if (typeof v !== 'string') return;
+    const value = v.trim();
+    if (!value) return;
+    qs.set(k, value);
+  });
   return `/plugin-frame.html?${qs.toString()}`;
 }
 
+function getPluginStylePaths(plugin: PluginItem): string[] {
+  const styles = (plugin.manifest as any)?.frontend?.styles as unknown;
+  if (!Array.isArray(styles)) return [];
+  return styles.filter((s) => typeof s === 'string' && s.trim().length > 0);
+}
+
 /**
  * 插件宿主组件 - 文件打开模式
  * 使用 iframe 隔离渲染与样式，避免插件污染宿主 DOM/CSS。
@@ -19,6 +31,7 @@ function buildPluginFrameUrl(params: Record<string, string>): string {
 export const PluginAppHost: React.FC<PluginAppHostProps> = ({
   plugin,
   filePath,
+  entry,
   onRequestClose,
 }) => {
   const iframeRef = useRef<HTMLIFrameElement>(null);
@@ -29,10 +42,13 @@ export const PluginAppHost: React.FC<PluginAppHostProps> = ({
     () =>
       buildPluginFrameUrl({
         pluginKey: plugin.key,
+        pluginVersion: plugin.version || '',
+        pluginStyles: JSON.stringify(getPluginStylePaths(plugin)),
         mode: 'file',
         filePath,
+        entry: JSON.stringify(entry),
       }),
-    [plugin.key, filePath]
+    [plugin, filePath, entry]
   );
 
   useEffect(() => {
@@ -78,9 +94,11 @@ export const PluginAppOpenHost: React.FC<PluginAppOpenHostProps> = ({ plugin, on
     () =>
       buildPluginFrameUrl({
         pluginKey: plugin.key,
+        pluginVersion: plugin.version || '',
+        pluginStyles: JSON.stringify(getPluginStylePaths(plugin)),
         mode: 'app',
       }),
-    [plugin.key]
+    [plugin]
   );
 
   useEffect(() => {

web/src/components/AiAgentWidget.tsx

@@ -0,0 +1,932 @@
+import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react';
+import { Avatar, Button, Divider, Drawer, Flex, Input, List, Space, Switch, Tag, Typography, message, theme } from 'antd';
+import { RobotOutlined, SendOutlined, FolderOpenOutlined, DeleteOutlined, ToolOutlined, DownOutlined, UpOutlined, CodeOutlined, CopyOutlined, LoadingOutlined } from '@ant-design/icons';
+import ReactMarkdown from 'react-markdown';
+import PathSelectorModal from './PathSelectorModal';
+import { agentApi, type AgentChatMessage, type PendingToolCall } from '../api/agent';
+import { useI18n } from '../i18n';
+import '../styles/ai-agent.css';
+
+const { Text, Paragraph } = Typography;
+
+function normalizePath(p?: string | null): string | null {
+  if (!p) return null;
+  const s = ('/' + p).replace(/\/+/, '/').replace(/\\/g, '/').replace(/\/+$/, '') || '/';
+  return s;
+}
+
+function extractTextContent(content: any): string {
+  if (content == null) return '';
+  if (typeof content === 'string') return content;
+  if (Array.isArray(content)) {
+    const parts: string[] = [];
+    for (const item of content) {
+      if (typeof item === 'string') {
+        if (item.trim()) parts.push(item);
+        continue;
+      }
+      const text = typeof item?.text === 'string' ? item.text : '';
+      if (text.trim()) parts.push(text);
+    }
+    return parts.join('\n');
+  }
+  try {
+    return JSON.stringify(content, null, 2);
+  } catch {
+    return String(content);
+  }
+}
+
+function tryParseJson<T = any>(raw: string): T | null {
+  if (typeof raw !== 'string') return null;
+  const s = raw.trim();
+  if (!s) return null;
+  try {
+    return JSON.parse(s) as T;
+  } catch {
+    return null;
+  }
+}
+
+function shortId(id: string, keep: number = 6): string {
+  const s = String(id || '');
+  if (s.length <= keep * 2 + 3) return s;
+  return `${s.slice(0, keep)}…${s.slice(-keep)}`;
+}
+
+interface AiAgentWidgetProps {
+  currentPath?: string | null;
+  open: boolean;
+  onOpenChange(open: boolean): void;
+}
+
+const AiAgentWidget = memo(function AiAgentWidget({ currentPath, open, onOpenChange }: AiAgentWidgetProps) {
+  const { t } = useI18n();
+  const { token } = theme.useToken();
+  const [autoExecute, setAutoExecute] = useState(false);
+  const [input, setInput] = useState('');
+  const [loading, setLoading] = useState(false);
+  const [messages, setMessages] = useState<AgentChatMessage[]>([]);
+  const [pending, setPending] = useState<PendingToolCall[]>([]);
+  const [pathModalOpen, setPathModalOpen] = useState(false);
+  const [expandedTools, setExpandedTools] = useState<Record<string, boolean>>({});
+  const [expandedRaw, setExpandedRaw] = useState<Record<string, boolean>>({});
+  const [runningTools, setRunningTools] = useState<Record<string, string>>({});
+  const scrollRef = useRef<HTMLDivElement | null>(null);
+  const streamControllerRef = useRef<AbortController | null>(null);
+  const streamSeqRef = useRef(0);
+  const baseMessagesRef = useRef<AgentChatMessage[]>([]);
+  const assistantIndexRef = useRef<Record<string, number>>({});
+  const toolNameByIdRef = useRef<Record<string, string>>({});
+
+  const effectivePath = useMemo(() => normalizePath(currentPath), [currentPath]);
+
+  const scrollToBottom = useCallback(() => {
+    const el = scrollRef.current;
+    if (!el) return;
+    el.scrollTop = el.scrollHeight;
+  }, []);
+
+  useEffect(() => {
+    if (!open) return;
+    const t = window.setTimeout(scrollToBottom, 0);
+    return () => window.clearTimeout(t);
+  }, [messages, open, pending, scrollToBottom]);
+
+  useEffect(() => {
+    return () => {
+      streamControllerRef.current?.abort();
+    };
+  }, []);
+
+  const toolCallsById = useMemo(() => {
+    const map = new Map<string, { name: string; args: Record<string, any> }>();
+    for (const msg of messages) {
+      if (!msg || typeof msg !== 'object') continue;
+      if (msg.role !== 'assistant') continue;
+      const toolCalls = (msg as any).tool_calls;
+      if (!Array.isArray(toolCalls)) continue;
+      for (const call of toolCalls) {
+        const id = typeof call?.id === 'string' ? call.id : '';
+        const fn = call?.function;
+        const name = typeof fn?.name === 'string' ? fn.name : '';
+        const rawArgs = typeof fn?.arguments === 'string' ? fn.arguments : '';
+        if (!id || !name) continue;
+        const parsedArgs = tryParseJson<Record<string, any>>(rawArgs) || {};
+        map.set(id, { name, args: parsedArgs });
+      }
+    }
+    return map;
+  }, [messages]);
+
+  const runStream = useCallback(async (payload: Partial<Parameters<typeof agentApi.chat>[0]> & { messages: AgentChatMessage[] }) => {
+    streamControllerRef.current?.abort();
+    const controller = new AbortController();
+    streamControllerRef.current = controller;
+    streamSeqRef.current += 1;
+    const seq = streamSeqRef.current;
+
+    baseMessagesRef.current = payload.messages;
+    assistantIndexRef.current = {};
+
+    setLoading(true);
+    const approvedIds = payload.approved_tool_call_ids || [];
+    if (Array.isArray(approvedIds) && approvedIds.length > 0) {
+      const preRunning: Record<string, string> = {};
+      approvedIds.forEach((id) => {
+        if (typeof id === 'string' && id.trim()) preRunning[id] = '';
+      });
+      setRunningTools(preRunning);
+    } else {
+      setRunningTools({});
+    }
+
+    try {
+      await agentApi.chatStream(
+        {
+          messages: payload.messages,
+          auto_execute: autoExecute,
+          context: effectivePath ? { current_path: effectivePath } : undefined,
+          approved_tool_call_ids: payload.approved_tool_call_ids,
+          rejected_tool_call_ids: payload.rejected_tool_call_ids,
+        },
+        (evt) => {
+          if (seq !== streamSeqRef.current) return;
+          switch (evt.event) {
+            case 'assistant_start': {
+              const id = String((evt.data as any)?.id || '');
+              if (!id) return;
+              setMessages((prev) => {
+                const idx = prev.length;
+                assistantIndexRef.current[id] = idx;
+                return [...prev, { role: 'assistant', content: '' }];
+              });
+              return;
+            }
+            case 'assistant_delta': {
+              const id = String((evt.data as any)?.id || '');
+              const delta = String((evt.data as any)?.delta || '');
+              if (!id || !delta) return;
+              setMessages((prev) => {
+                const idx = assistantIndexRef.current[id];
+                if (idx === undefined || idx < 0 || idx >= prev.length) return prev;
+                const cur = prev[idx] as any;
+                const curContent = typeof cur?.content === 'string' ? cur.content : extractTextContent(cur?.content);
+                const next = prev.slice();
+                next[idx] = { ...cur, content: (curContent || '') + delta };
+                return next;
+              });
+              return;
+            }
+            case 'assistant_end': {
+              const id = String((evt.data as any)?.id || '');
+              const msg = (evt.data as any)?.message;
+              if (!id || !msg || typeof msg !== 'object') return;
+              setMessages((prev) => {
+                const idx = assistantIndexRef.current[id];
+                if (idx === undefined || idx < 0 || idx >= prev.length) return prev;
+                const next = prev.slice();
+                next[idx] = msg;
+                return next;
+              });
+              delete assistantIndexRef.current[id];
+              return;
+            }
+            case 'tool_start': {
+              const toolCallId = String((evt.data as any)?.tool_call_id || '');
+              const name = String((evt.data as any)?.name || '');
+              if (!toolCallId) return;
+              if (name) toolNameByIdRef.current[toolCallId] = name;
+              setRunningTools((prev) => ({ ...prev, [toolCallId]: name || prev[toolCallId] || '' }));
+              return;
+            }
+            case 'tool_end': {
+              const toolCallId = String((evt.data as any)?.tool_call_id || '');
+              const name = String((evt.data as any)?.name || '');
+              const msg = (evt.data as any)?.message;
+              if (toolCallId && name) toolNameByIdRef.current[toolCallId] = name;
+              if (toolCallId) {
+                setRunningTools((prev) => {
+                  const next = { ...prev };
+                  delete next[toolCallId];
+                  return next;
+                });
+              }
+              if (msg && typeof msg === 'object') {
+                setMessages((prev) => [...prev, msg]);
+              }
+              return;
+            }
+            case 'pending': {
+              const items = Array.isArray((evt.data as any)?.pending_tool_calls) ? (evt.data as any).pending_tool_calls : [];
+              setPending(items);
+              return;
+            }
+            case 'done': {
+              const base = baseMessagesRef.current || [];
+              const newMessages = Array.isArray((evt.data as any)?.messages) ? (evt.data as any).messages : [];
+              const nextPending = Array.isArray((evt.data as any)?.pending_tool_calls) ? (evt.data as any).pending_tool_calls : [];
+              setMessages([...base, ...newMessages]);
+              setPending(nextPending);
+              setRunningTools({});
+              assistantIndexRef.current = {};
+              return;
+            }
+            default:
+              return;
+          }
+        },
+        { signal: controller.signal }
+      );
+    } catch (err: any) {
+      if (controller.signal.aborted) return;
+      message.error(err?.message || t('Operation failed'));
+    } finally {
+      if (seq === streamSeqRef.current) {
+        setLoading(false);
+        if (controller.signal.aborted) {
+          setRunningTools({});
+          assistantIndexRef.current = {};
+        }
+      }
+    }
+  }, [autoExecute, effectivePath, t]);
+
+  const handleSend = useCallback(async () => {
+    const text = input.trim();
+    if (!text) return;
+    if (pending.length > 0) {
+      message.warning(t('Please confirm pending actions first'));
+      return;
+    }
+    const nextUserMsg: AgentChatMessage = { role: 'user', content: text };
+    setInput('');
+    const base = [...messages, nextUserMsg];
+    setMessages(base);
+    setPending([]);
+    await runStream({ messages: base });
+  }, [input, messages, pending.length, runStream, t]);
+
+  const clearChat = useCallback(() => {
+    streamControllerRef.current?.abort();
+    setMessages([]);
+    setPending([]);
+    setExpandedTools({});
+    setExpandedRaw({});
+    setRunningTools({});
+  }, []);
+
+  const approveOne = useCallback(async (id: string) => {
+    await runStream({ messages, approved_tool_call_ids: [id] });
+  }, [messages, runStream]);
+
+  const rejectOne = useCallback(async (id: string) => {
+    await runStream({ messages, rejected_tool_call_ids: [id] });
+  }, [messages, runStream]);
+
+  const approveAll = useCallback(async () => {
+    const ids = pending.map((p) => p.id).filter(Boolean);
+    if (ids.length === 0) return;
+    await runStream({ messages, approved_tool_call_ids: ids });
+  }, [messages, pending, runStream]);
+
+  const rejectAll = useCallback(async () => {
+    const ids = pending.map((p) => p.id).filter(Boolean);
+    if (ids.length === 0) return;
+    await runStream({ messages, rejected_tool_call_ids: ids });
+  }, [messages, pending, runStream]);
+
+  const handlePathSelected = useCallback((path: string) => {
+    const p = normalizePath(path) || '/';
+    setInput((prev) => (prev.trim() ? `${prev.trim()} ${p}` : p));
+    setPathModalOpen(false);
+  }, []);
+
+  const messageItems = useMemo(() => {
+    return messages.filter((m) => {
+      if (!m || typeof m !== 'object') return false;
+      const role = typeof (m as any).role === 'string' ? String((m as any).role) : '';
+      if (!role || role === 'system') return false;
+      if (role === 'assistant') {
+        const text = extractTextContent((m as any).content);
+        return !!text.trim();
+      }
+      return true;
+    });
+  }, [messages]);
+
+  const runningToolEntries = useMemo(() => Object.entries(runningTools).filter(([id]) => !!id), [runningTools]);
+  const runningToolCount = runningToolEntries.length;
+
+  const copyToClipboard = useCallback(async (raw: string) => {
+    try {
+      await navigator.clipboard.writeText(raw);
+      message.success(t('Copied'));
+    } catch (err: any) {
+      message.error(err?.message || t('Operation failed'));
+    }
+  }, [t]);
+
+  const renderToolResultSummary = useCallback((toolName: string, rawContent: string, toolArgs?: Record<string, any> | null) => {
+    const data = tryParseJson<Record<string, any>>(rawContent);
+    if (!data) return '';
+
+    if (data.canceled) return t('Canceled');
+    if (data.error) return `${t('Error')}: ${String(data.error)}`;
+
+    if (toolName === 'processors_list') {
+      const processors = Array.isArray(data.processors) ? data.processors : [];
+      return `${t('Processors')}: ${processors.length}`;
+    }
+    if (toolName === 'processors_run') {
+      const ctx = (() => {
+        const processorType = typeof toolArgs?.processor_type === 'string' ? toolArgs.processor_type.trim() : '';
+        const path = typeof toolArgs?.path === 'string' ? toolArgs.path.trim() : '';
+        const parts = [processorType, path].filter(Boolean);
+        return parts.length ? parts.join(' · ') : '';
+      })();
+      if (typeof data.task_id === 'string') {
+        return ctx ? `${t('Task submitted')}: ${ctx} · ${shortId(data.task_id)}` : `${t('Task submitted')}: ${shortId(data.task_id)}`;
+      }
+      const taskIds = Array.isArray(data.task_ids) ? data.task_ids : [];
+      const scheduled = typeof data.scheduled === 'number' ? data.scheduled : taskIds.length;
+      if (scheduled) return ctx ? `${t('Tasks submitted')}: ${ctx} · ${scheduled}` : `${t('Tasks submitted')}: ${scheduled}`;
+      return t('Task submitted');
+    }
+    if (toolName === 'vfs_list_dir') {
+      const path = typeof data.path === 'string' ? data.path : '';
+      const entries = Array.isArray(data.entries) ? data.entries : [];
+      const names = entries
+        .map((it: any) => String(it?.name || '').trim())
+        .filter(Boolean)
+        .slice(0, 3);
+      const head = `${t('Directory')}: ${path || '/'}`;
+      const tail = `${entries.length} ${t('items')}`;
+      const sample = names.length ? ` · ${names.join(', ')}` : '';
+      return `${head} · ${tail}${sample}`;
+    }
+    if (toolName === 'vfs_search') {
+      const query = typeof data.query === 'string' ? data.query : '';
+      const items = Array.isArray(data.items) ? data.items : [];
+      return `${t('Search')}: ${query || '-'} · ${items.length} ${t('results')}`;
+    }
+    if (toolName === 'vfs_stat') {
+      const isDir = Boolean(data.is_dir);
+      const path = typeof data.path === 'string' ? data.path : '';
+      return `${t('Info')}: ${path || '-'} · ${isDir ? t('Folder') : t('File')}`;
+    }
+    if (toolName === 'vfs_read_text') {
+      const path = typeof data.path === 'string' ? data.path : '';
+      const length = typeof data.length === 'number' ? data.length : undefined;
+      const truncated = Boolean(data.truncated);
+      const tail = length != null ? ` · ${length} ${t('chars')}${truncated ? `(${t('Truncated')})` : ''}` : '';
+      return `${t('Read')}: ${path || '-'}${tail}`;
+    }
+    if (toolName === 'vfs_write_text') {
+      const path = typeof data.path === 'string' ? data.path : '';
+      const bytes = typeof data.bytes === 'number' ? data.bytes : undefined;
+      return `${t('Write')}: ${path || '-'}${bytes != null ? ` · ${bytes} bytes` : ''}`;
+    }
+    if (toolName === 'vfs_mkdir') {
+      const path = typeof data.path === 'string' ? data.path : '';
+      return `${t('Created')}: ${path || '-'}`;
+    }
+    if (toolName === 'vfs_delete') {
+      const path = typeof data.path === 'string' ? data.path : '';
+      return `${t('Deleted')}: ${path || '-'}`;
+    }
+    if (toolName === 'vfs_move') {
+      const src = typeof data.src === 'string' ? data.src : '';
+      const dst = typeof data.dst === 'string' ? data.dst : '';
+      return `${t('Moved')}: ${src || '-'} → ${dst || '-'}`;
+    }
+    if (toolName === 'vfs_copy') {
+      const src = typeof data.src === 'string' ? data.src : '';
+      const dst = typeof data.dst === 'string' ? data.dst : '';
+      return `${t('Copied')}: ${src || '-'} → ${dst || '-'}`;
+    }
+    if (toolName === 'vfs_rename') {
+      const src = typeof data.src === 'string' ? data.src : '';
+      const dst = typeof data.dst === 'string' ? data.dst : '';
+      return `${t('Renamed')}: ${src || '-'} → ${dst || '-'}`;
+    }
+    return '';
+  }, [t]);
+
+  const renderToolDetails = useCallback((toolKey: string, toolName: string, rawContent: string) => {
+    const data = tryParseJson<Record<string, any>>(rawContent);
+    const showRaw = !!expandedRaw[toolKey];
+    const toggleRaw = () => setExpandedRaw((prev) => ({ ...prev, [toolKey]: !prev[toolKey] }));
+
+    const rawJson = (() => {
+      if (!rawContent?.trim()) return '';
+      const parsed = tryParseJson<any>(rawContent);
+      if (!parsed) return rawContent;
+      try {
+        return JSON.stringify(parsed, null, 2);
+      } catch {
+        return rawContent;
+      }
+    })();
+
+    const header = (
+      <Space size={10} wrap>
+        <Button
+          type="text"
+          size="small"
+          icon={<CodeOutlined />}
+          onClick={(e) => { e.stopPropagation(); toggleRaw(); }}
+        >
+          {t('Raw JSON')}
+        </Button>
+        {showRaw && (
+          <Button
+            type="text"
+            size="small"
+            icon={<CopyOutlined />}
+            onClick={(e) => { e.stopPropagation(); void copyToClipboard(rawJson); }}
+          >
+            {t('Copy')}
+          </Button>
+        )}
+      </Space>
+    );
+
+    if (toolName === 'processors_list') {
+      const processors = Array.isArray(data?.processors) ? data!.processors : [];
+      return (
+        <div className="fx-agent-tool-details">
+          {header}
+          <Divider style={{ margin: '10px 0' }} />
+          <List
+            size="small"
+            dataSource={processors}
+            locale={{ emptyText: t('No results') }}
+            renderItem={(item: any) => (
+              <List.Item>
+                <Space size={10} wrap>
+                  <Text code style={{ fontVariantNumeric: 'tabular-nums' }}>{String(item?.type || '')}</Text>
+                  <Text>{String(item?.name || '')}</Text>
+                </Space>
+              </List.Item>
+            )}
+            style={{ background: 'transparent' }}
+          />
+          {showRaw && (
+            <>
+              <Divider style={{ margin: '10px 0' }} />
+              <pre className="fx-agent-pre">{rawJson}</pre>
+            </>
+          )}
+        </div>
+      );
+    }
+
+    if (toolName === 'vfs_list_dir') {
+      const path = typeof data?.path === 'string' ? data!.path : '/';
+      const entries = Array.isArray(data?.entries) ? data!.entries : [];
+      const pagination = data?.pagination && typeof data.pagination === 'object' ? data.pagination : null;
+      return (
+        <div className="fx-agent-tool-details">
+          {header}
+          <Divider style={{ margin: '10px 0' }} />
+          <Space direction="vertical" size={6} style={{ width: '100%' }}>
+            <Text type="secondary" style={{ fontSize: 12 }}>{t('Directory')}: {path}</Text>
+            {pagination?.total != null ? (
+              <Text type="secondary" style={{ fontSize: 12 }}>
+                {t('Total')}: {String(pagination.total)}
+              </Text>
+            ) : null}
+          </Space>
+          <Divider style={{ margin: '10px 0' }} />
+          <List
+            size="small"
+            dataSource={entries}
+            locale={{ emptyText: t('No results') }}
+            renderItem={(item: any) => {
+              const name = String(item?.name || '');
+              const type = String(item?.type || (item?.is_dir ? 'dir' : 'file'));
+              return (
+                <List.Item>
+                  <Space size={10} wrap style={{ width: '100%', justifyContent: 'space-between' }}>
+                    <Space size={10} wrap>
+                      <Text code style={{ fontVariantNumeric: 'tabular-nums' }}>{type}</Text>
+                      <Text>{name}</Text>
+                    </Space>
+                    {!item?.is_dir && typeof item?.size === 'number' ? (
+                      <Text type="secondary" style={{ fontSize: 12 }}>{item.size} bytes</Text>
+                    ) : null}
+                  </Space>
+                </List.Item>
+              );
+            }}
+            style={{ background: 'transparent' }}
+          />
+          {showRaw && (
+            <>
+              <Divider style={{ margin: '10px 0' }} />
+              <pre className="fx-agent-pre">{rawJson}</pre>
+            </>
+          )}
+        </div>
+      );
+    }
+
+    if (toolName === 'vfs_search') {
+      const query = typeof data?.query === 'string' ? data!.query : '';
+      const mode = typeof data?.mode === 'string' ? data!.mode : '';
+      const items = Array.isArray(data?.items) ? data!.items : [];
+      const pagination = data?.pagination && typeof data.pagination === 'object' ? data.pagination : null;
+      return (
+        <div className="fx-agent-tool-details">
+          {header}
+          <Divider style={{ margin: '10px 0' }} />
+          <Space direction="vertical" size={6} style={{ width: '100%' }}>
+            <Text type="secondary" style={{ fontSize: 12 }}>{t('Search')}: {query || '-'}</Text>
+            <Text type="secondary" style={{ fontSize: 12 }}>{t('Mode')}: {mode || '-'}</Text>
+            {pagination?.has_more != null ? (
+              <Text type="secondary" style={{ fontSize: 12 }}>
+                {t('Page')}: {String(pagination.page)} · {t('Has more')}: {String(Boolean(pagination.has_more))}
+              </Text>
+            ) : null}
+          </Space>
+          <Divider style={{ margin: '10px 0' }} />
+          <List
+            size="small"
+            dataSource={items}
+            locale={{ emptyText: t('No results') }}
+            renderItem={(item: any) => {
+              const type = String(item?.source_type || item?.mime || '');
+              const path = String(item?.path || '');
+              const score = item?.score != null ? Number(item.score) : null;
+              return (
+                <List.Item>
+                  <Space size={10} wrap style={{ width: '100%', justifyContent: 'space-between' }}>
+                    <Space size={10} wrap>
+                      {type ? <Text code style={{ fontVariantNumeric: 'tabular-nums' }}>{type}</Text> : null}
+                      <Text>{path}</Text>
+                    </Space>
+                    {score != null && !Number.isNaN(score) ? (
+                      <Text type="secondary" style={{ fontSize: 12 }}>{score.toFixed(3)}</Text>
+                    ) : null}
+                  </Space>
+                </List.Item>
+              );
+            }}
+            style={{ background: 'transparent' }}
+          />
+          {showRaw && (
+            <>
+              <Divider style={{ margin: '10px 0' }} />
+              <pre className="fx-agent-pre">{rawJson}</pre>
+            </>
+          )}
+        </div>
+      );
+    }
+
+    if (toolName === 'vfs_read_text') {
+      const path = typeof data?.path === 'string' ? data!.path : '';
+      const content = typeof data?.content === 'string' ? data!.content : '';
+      return (
+        <div className="fx-agent-tool-details">
+          {header}
+          <Divider style={{ margin: '10px 0' }} />
+          <Text type="secondary" style={{ fontSize: 12 }}>{t('File')}: {path || '-'}</Text>
+          <pre className="fx-agent-pre" style={{ marginTop: 10 }}>{content || ''}</pre>
+          {showRaw && (
+            <>
+              <Divider style={{ margin: '10px 0' }} />
+              <pre className="fx-agent-pre">{rawJson}</pre>
+            </>
+          )}
+        </div>
+      );
+    }
+
+    return (
+      <div className="fx-agent-tool-details">
+        {header}
+        <Divider style={{ margin: '10px 0' }} />
+        {showRaw ? (
+          <pre className="fx-agent-pre">{rawJson}</pre>
+        ) : (
+          <Paragraph style={{ marginBottom: 0, whiteSpace: 'pre-wrap' }}>
+            {extractTextContent(data ?? rawContent) || <Text type="secondary">{t('No content')}</Text>}
+          </Paragraph>
+        )}
+      </div>
+    );
+  }, [copyToClipboard, expandedRaw, t]);
+
+  const renderToolArgsSummary = useCallback((toolName: string, args?: Record<string, any> | null) => {
+    const a = args || {};
+    if (toolName === 'processors_run') {
+      const path = typeof a.path === 'string' ? a.path : '';
+      return path ? `${t('Path')}: ${path}` : '';
+    }
+    if (toolName === 'vfs_read_text' || toolName === 'vfs_list_dir' || toolName === 'vfs_stat' || toolName === 'vfs_delete' || toolName === 'vfs_mkdir') {
+      const path = typeof a.path === 'string' ? a.path : '';
+      return path ? `${t('Path')}: ${path}` : '';
+    }
+    if (toolName === 'vfs_search') {
+      const query = typeof a.query === 'string' ? a.query : '';
+      return query ? `${t('Search')}: ${query}` : '';
+    }
+    if (toolName === 'vfs_write_text') {
+      const path = typeof a.path === 'string' ? a.path : '';
+      return path ? `${t('Path')}: ${path}` : '';
+    }
+    if (toolName === 'vfs_move' || toolName === 'vfs_copy' || toolName === 'vfs_rename') {
+      const src = typeof a.src === 'string' ? a.src : '';
+      const dst = typeof a.dst === 'string' ? a.dst : '';
+      if (src && dst) return `${src} → ${dst}`;
+      if (src) return src;
+      if (dst) return dst;
+      return '';
+    }
+    return '';
+  }, [t]);
+
+  return (
+    <>
+      <Drawer
+        title={t('AI Agent')}
+        open={open}
+        onClose={() => { streamControllerRef.current?.abort(); onOpenChange(false); }}
+        width={520}
+        mask={false}
+        destroyOnHidden
+        styles={{
+          body: {
+            padding: 8,
+            background: token.colorBgContainer,
+          },
+        }}
+        extra={
+          <Space align="center">
+            <Text type="secondary">{t('Auto execute')}</Text>
+            <Switch size="small" checked={autoExecute} onChange={setAutoExecute} />
+            <Button
+              type="text"
+              size="small"
+              icon={<DeleteOutlined />}
+              onClick={clearChat}
+              disabled={loading || messageItems.length === 0}
+            >
+              {t('Clear')}
+            </Button>
+          </Space>
+        }
+      >
+        <Flex vertical gap={0} style={{ height: '100%' }} className="fx-agent-container">
+          <div
+            ref={scrollRef}
+            className="fx-agent-chat-scroll"
+          >
+            {messageItems.length === 0 ? (
+              <div className="fx-agent-empty">
+                <Avatar size={36} icon={<RobotOutlined />} style={{ background: token.colorPrimary }} />
+                <div style={{ marginTop: 8 }}>
+                  <Text type="secondary">{t('Start a conversation')}</Text>
+                </div>
+              </div>
+            ) : (
+              <div className="fx-agent-messages">
+                {messageItems.map((m, idx) => {
+                  const role = String((m as any).role);
+                  const isUser = role === 'user';
+                  const isTool = role === 'tool';
+                  const toolCallId = typeof (m as any).tool_call_id === 'string' ? String((m as any).tool_call_id) : '';
+                  const toolInfo = toolCallId ? toolCallsById.get(toolCallId) : null;
+                  const toolName = toolInfo?.name || (toolCallId ? toolNameByIdRef.current[toolCallId] : '') || '';
+                  const msgKey = toolCallId ? `tool:${toolCallId}` : `${role}:${idx}`;
+
+                  if (isTool) {
+                    const rawContent = extractTextContent((m as any).content);
+                    const expanded = !!expandedTools[msgKey];
+                    const summary = toolName ? renderToolResultSummary(toolName, rawContent, toolInfo?.args || null) : '';
+                    return (
+                      <div key={msgKey} className="fx-agent-msg fx-agent-msg-tool">
+                        <div className="fx-agent-tool-block">
+                          <div className="fx-agent-tool-bar">
+                            <Space size={6} wrap className="fx-agent-tool-pills">
+                              <Tag className="fx-agent-pill" bordered={false} icon={<ToolOutlined />}>
+                                {t('MCP Tool')}
+                              </Tag>
+                              <Tag className="fx-agent-pill fx-agent-pill-strong" bordered={false} icon={<CodeOutlined />}>
+                                {toolName || t('Tool')}
+                              </Tag>
+                            </Space>
+                            <Button
+                              type="text"
+                              size="small"
+                              icon={expanded ? <UpOutlined /> : <DownOutlined />}
+                              onClick={() => setExpandedTools((prev) => ({ ...prev, [msgKey]: !prev[msgKey] }))}
+                            >
+                              {expanded ? t('Collapse') : t('Expand')}
+                              </Button>
+                          </div>
+                          {summary ? (
+                            <div className="fx-agent-tool-summary-line">
+                              <Text type="secondary">{summary}</Text>
+                            </div>
+                          ) : null}
+                          {expanded && (
+                            <div className="fx-agent-tool-expanded">
+                              {toolInfo?.args && Object.keys(toolInfo.args).length > 0 && (
+                                <div style={{ marginBottom: 10 }}>
+                                  <Text type="secondary" style={{ fontSize: 12 }}>{t('Arguments')}</Text>
+                                  <pre className="fx-agent-pre fx-agent-pre-compact">
+                                    {JSON.stringify(toolInfo.args, null, 2)}
+                                  </pre>
+                                </div>
+                              )}
+                              {renderToolDetails(msgKey, toolName || t('Tool'), rawContent)}
+                            </div>
+                          )}
+                        </div>
+                      </div>
+                    );
+                  }
+
+                  const text = extractTextContent((m as any).content);
+                  if (isUser) {
+                    return (
+                      <div key={msgKey} className="fx-agent-msg fx-agent-msg-user">
+                        <div className="fx-agent-user-block fx-agent-content">
+                          {text.trim() ? <div className="fx-agent-text">{text}</div> : <Text type="secondary">{t('No content')}</Text>}
+                        </div>
+                      </div>
+                    );
+                  }
+
+                  return (
+                    <div key={msgKey} className="fx-agent-msg fx-agent-msg-assistant">
+                      <div className="fx-agent-assistant-block fx-agent-content">
+                        {text.trim() ? (
+                          <div className="fx-agent-md">
+                            <ReactMarkdown>{text}</ReactMarkdown>
+                          </div>
+                        ) : (
+                          <Text type="secondary">{t('No content')}</Text>
+                        )}
+                      </div>
+                    </div>
+                  );
+                })}
+                {runningToolCount > 0 && (
+                  <div className="fx-agent-running">
+                    <LoadingOutlined spin />
+                    <Text type="secondary">{t('Calling tools')}</Text>
+                    <Space size={6} wrap>
+                      {runningToolEntries.slice(0, 2).map(([id, name]) => (
+                        <Tag key={id} bordered={false} color="blue">
+                          {(name || t('Tool'))} #{shortId(id, 4)}
+                        </Tag>
+                      ))}
+                      {runningToolCount > 2 && (
+                        <Text type="secondary">+{runningToolCount - 2}</Text>
+                      )}
+                    </Space>
+                  </div>
+                )}
+                {pending.length > 0 && (
+                  <div className="fx-agent-pending-group">
+                    <div className="fx-agent-pending-head">
+                      <Space size={8} wrap>
+                        <Tag className="fx-agent-pill fx-agent-pill-warn" bordered={false}>
+                          {t('Pending actions')}
+                        </Tag>
+                        <Text type="secondary">{pending.length}</Text>
+                      </Space>
+                      <Space size={6}>
+                        <Button size="small" type="primary" onClick={approveAll} loading={loading}>
+                          {t('Execute all')}
+                        </Button>
+                        <Button size="small" onClick={rejectAll} disabled={loading}>
+                          {t('Cancel all')}
+                        </Button>
+                      </Space>
+                    </div>
+
+                    <div className="fx-agent-pending-list">
+                      {pending.map((p) => {
+                        const args = p.arguments || {};
+                        const key = `pending:${p.id}`;
+                        const expanded = !!expandedTools[key];
+                        const running = Object.prototype.hasOwnProperty.call(runningTools, p.id);
+                        const summary = renderToolArgsSummary(p.name, args);
+                        return (
+                          <div key={p.id} className="fx-agent-tool-block fx-agent-pending-item">
+                            <div className="fx-agent-tool-bar">
+                              <Space size={6} wrap className="fx-agent-tool-pills">
+                                <Tag className="fx-agent-pill" bordered={false} icon={<ToolOutlined />}>
+                                  {t('MCP Tool')}
+                                </Tag>
+                                <Tag className="fx-agent-pill fx-agent-pill-strong" bordered={false} icon={<CodeOutlined />}>
+                                  {p.name}
+                                </Tag>
+                                {running ? <LoadingOutlined spin style={{ color: token.colorPrimary }} /> : null}
+                              </Space>
+                              <Space size={6}>
+                                <Button
+                                  size="small"
+                                  type="primary"
+                                  onClick={() => void approveOne(p.id)}
+                                  loading={loading && running}
+                                  disabled={loading && !running}
+                                >
+                                  {t('Execute')}
+                                </Button>
+                                <Button
+                                  size="small"
+                                  onClick={() => void rejectOne(p.id)}
+                                  disabled={loading && !running}
+                                >
+                                  {t('Cancel')}
+                                </Button>
+                                <Button
+                                  type="text"
+                                  size="small"
+                                  icon={expanded ? <UpOutlined /> : <DownOutlined />}
+                                  onClick={() => setExpandedTools((prev) => ({ ...prev, [key]: !prev[key] }))}
+                                />
+                              </Space>
+                            </div>
+                            {summary ? (
+                              <div className="fx-agent-tool-summary-line">
+                                <Text type="secondary">{summary}</Text>
+                              </div>
+                            ) : null}
+                            {expanded && (
+                              <div className="fx-agent-tool-expanded">
+                                <Text type="secondary" style={{ fontSize: 12 }}>{t('Arguments')}</Text>
+                                <pre className="fx-agent-pre">
+                                  {JSON.stringify(args, null, 2)}
+                                </pre>
+                              </div>
+                            )}
+                          </div>
+                        );
+                      })}
+                    </div>
+                  </div>
+                )}
+              </div>
+            )}
+          </div>
+
+          <div className="fx-agent-composer">
+            <Flex vertical gap={8}>
+              <Space wrap>
+                <Button size="small" icon={<FolderOpenOutlined />} onClick={() => setPathModalOpen(true)} disabled={loading}>
+                  {t('Select Path')}
+                </Button>
+                {effectivePath && (
+                  <Tag bordered={false} color="blue">{t('Current')}: {effectivePath}</Tag>
+                )}
+              </Space>
+
+              <Input.TextArea
+                value={input}
+                onChange={(e) => setInput(e.target.value)}
+                placeholder={t('Type a message')}
+                autoSize={{ minRows: 2, maxRows: 6 }}
+                disabled={loading || pending.length > 0}
+                variant="borderless"
+                onPressEnter={(e) => {
+                  if (e.shiftKey) return;
+                  e.preventDefault();
+                  void handleSend();
+                }}
+              />
+              <div style={{ display: 'flex', justifyContent: 'flex-end' }}>
+                <Button
+                  type="primary"
+                  size="small"
+                  icon={<SendOutlined />}
+                  onClick={handleSend}
+                  loading={loading}
+                  disabled={loading || pending.length > 0 || !input.trim()}
+                >
+                  {t('Send')}
+                </Button>
+              </div>
+            </Flex>
+          </div>
+        </Flex>
+      </Drawer>
+
+      <PathSelectorModal
+        open={pathModalOpen}
+        mode="any"
+        initialPath={effectivePath || '/'}
+        onOk={handlePathSelected}
+        onCancel={() => setPathModalOpen(false)}
+      />
+    </>
+  );
+});
+
+export default AiAgentWidget;

web/src/i18n/locales/en.json

@@ -415,7 +415,7 @@
   "Custom Provider": "Custom Provider",
   "Custom Provider Description": "Bring your own endpoint compatible with OpenAI or Gemini formats.",
   "OpenAI Provider": "OpenAI",
-  "OpenAI Provider Description": "Access GPT-4o, GPT-4.1, GPT-3.5 and more models from OpenAI.",
+  "OpenAI Provider Description": "Access GPT-4o, GPT-4.1, GPT-5 and more models from OpenAI.",
   "Azure OpenAI Provider": "Azure OpenAI",
   "Azure OpenAI Provider Description": "Use OpenAI models deployed on Microsoft Azure.",
   "Google AI Provider": "Google AI",
@@ -425,13 +425,15 @@
   "OpenRouter Provider": "OpenRouter",
   "OpenRouter Provider Description": "Connect to multiple AI providers through a single OpenAI-style endpoint.",
   "Anthropic Provider": "Anthropic",
-  "Anthropic Provider Description": "Claude 3 family models exposed through the Claude API.",
+  "Anthropic Provider Description": "Claude 4 family models exposed through the Claude API.",
+  "Z.ai Provider": "Z.ai",
+  "Z.ai Provider Description": "Z.ai models served via BigModel Open Platform (OpenAI-style).",
   "DeepSeek Provider": "DeepSeek",
   "DeepSeek Provider Description": "DeepSeek language models via OpenAI-compatible API.",
   "Grok Provider": "Grok (xAI)",
   "Grok Provider Description": "Grok models powered by xAI with OpenAI-style routes.",
   "Ollama Provider": "Ollama",
-  "Ollama Provider Description": "Self-host and run models locally with Ollama's OpenAI bridge.",
+  "Ollama Provider Description": "Self-host and run models locally with Ollama's native HTTP API.",
   "Voyage Provider": "Voyage AI",
   "Voyage Provider Description": "High-quality embeddings and rerankers from Voyage AI.",
   "Delete provider?": "Delete provider?",
@@ -690,5 +692,40 @@
   "App \"{key}\" not found.": "App \"{key}\" not found.",
   "Open with {app}": "Open with {app}",
   "Set as default for .{ext}": "Set as default for .{ext}",
-  "Advanced tokens must be valid JSON": "Advanced tokens must be valid JSON"
+  "AI Agent": "AI Agent",
+  "Auto execute": "Auto execute",
+  "Start a conversation": "Start a conversation",
+  "No content": "No content",
+  "Pending actions": "Pending actions",
+  "Execute": "Execute",
+  "Execute all": "Execute all",
+  "Cancel all": "Cancel all",
+  "Type a message": "Type a message",
+  "Send": "Send",
+  "Please confirm pending actions first": "Please confirm pending actions first",
+  "You": "You",
+  "Tool": "Tool",
+  "MCP Tool": "MCP Tool",
+  "Arguments": "Arguments",
+  "Raw JSON": "Raw JSON",
+  "Collapse": "Collapse",
+  "Copied": "Copied",
+  "Canceled": "Canceled",
+  "Tasks submitted": "Tasks submitted",
+  "Calling tools": "Calling tools",
+  "Advanced tokens must be valid JSON": "Advanced tokens must be valid JSON",
+  "Search": "Search",
+  "Total": "Total",
+  "Mode": "Mode",
+  "Has more": "Has more",
+  "Page": "Page",
+  "results": "results",
+  "chars": "chars",
+  "Truncated": "Truncated",
+  "Write": "Write",
+  "Read": "Read",
+  "Created": "Created",
+  "Moved": "Moved",
+  "Renamed": "Renamed",
+  "Info": "Info"
 }

web/src/i18n/locales/zh.json

@@ -411,15 +411,23 @@
   "Added {count} models": "已添加 {count} 个模型",
   "Custom Provider": "自定义提供商",
   "Custom Provider Description": "自定义兼容 OpenAI 或 Gemini 标准的 API 端点。",
-  "OpenAI Provider Description": "访问 OpenAI 的 GPT-4o、GPT-4.1、GPT-3.5 等模型。",
+  "OpenAI Provider": "OpenAI",
+  "OpenAI Provider Description": "访问 OpenAI 的 GPT-4o、GPT-4.1、GPT-5 等模型。",
+  "Azure OpenAI Provider": "Azure OpenAI",
   "Azure OpenAI Provider Description": "使用托管在微软 Azure 上的 OpenAI 模型。",
+  "Google AI Provider": "Google AI",
   "Google AI Provider Description": "Google AI 平台提供的 Gemini 系列模型。",
   "SiliconFlow Provider": "硅基流动",
   "SiliconFlow Provider Description": "硅基流动高性能推理平台，兼容 OpenAI 接口。",
   "OpenRouter Provider Description": "通过一个 OpenAI 风格入口接入多家 AI 提供商。",
-  "Anthropic Provider Description": "通过 Claude API 使用 Claude 3 系列模型。",
+  "Anthropic Provider": "Anthropic",
+  "Anthropic Provider Description": "通过 Claude API 使用 Claude 4 系列模型。",
+  "Z.ai Provider": "Z.ai",
+  "Z.ai Provider Description": "通过智谱开放平台接入（OpenAI 风格接口）。",
+  "DeepSeek Provider": "DeepSeek",
   "DeepSeek Provider Description": "DeepSeek 语言模型，支持 OpenAI 兼容接口。",
   "Grok Provider Description": "xAI 的 Grok 模型，提供 OpenAI 风格接口。",
+  "Ollama Provider": "Ollama",
   "Ollama Provider Description": "使用 Ollama 在本地运行并管理大模型。",
   "Voyage Provider Description": "Voyage AI 提供的高质量嵌入与重排序模型。",
   "Delete provider?": "确认删除该提供商？",
@@ -436,6 +444,9 @@
   "Add your first AI provider to get started": "添加第一个 AI 提供商开始配置",
   "Default Models Configuration": "默认模型配置",
   "Main Chat Model": "主对话模型",
+  "Rerank Model": "重排序模型",
+  "Voice Model": "语音模型",
+  "Tools Model": "工具模型",
   "Primary assistant for conversations, reasoning, and tool calls.": "用于对话、推理与工具调用的核心模型。",
   "Handles multimodal perception such as image understanding.": "负责多模态感知与图像理解。",
   "Transforms content into dense vectors for search and retrieval.": "将内容向量化以驱动搜索与检索。",
@@ -683,5 +694,40 @@
   "App \"{key}\" not found.": "应用 \"{key}\" 不存在。",
   "Open with {app}": "使用 {app} 打开",
   "Set as default for .{ext}": "设为该类型(.{ext})默认应用",
-  "Advanced tokens must be valid JSON": "高级 Token 需为合法 JSON"
+  "AI Agent": "AI 助手",
+  "Auto execute": "自动执行",
+  "Start a conversation": "开始对话",
+  "No content": "无内容",
+  "Pending actions": "待确认操作",
+  "Execute": "执行",
+  "Execute all": "全部执行",
+  "Cancel all": "全部取消",
+  "Type a message": "输入消息",
+  "Send": "发送",
+  "Please confirm pending actions first": "请先确认待执行操作",
+  "You": "你",
+  "Tool": "工具",
+  "MCP Tool": "MCP 工具",
+  "Arguments": "参数",
+  "Raw JSON": "原始 JSON",
+  "Collapse": "收起",
+  "Copied": "已复制",
+  "Canceled": "已取消",
+  "Tasks submitted": "已提交任务",
+  "Calling tools": "正在调用工具",
+  "Advanced tokens must be valid JSON": "高级 Token 需为合法 JSON",
+  "Search": "搜索",
+  "Total": "总计",
+  "Mode": "模式",
+  "Has more": "更多",
+  "Page": "页",
+  "results": "条结果",
+  "chars": "字符",
+  "Truncated": "已截断",
+  "Write": "写入",
+  "Read": "读取",
+  "Created": "已创建",
+  "Moved": "已移动",
+  "Renamed": "已重命名",
+  "Info": "信息"
 }

web/src/layout/TopHeader.tsx

@@ -1,5 +1,5 @@
-import { Layout, Button, Dropdown, theme, Flex, Avatar, Typography } from 'antd';
-import { SearchOutlined, MenuUnfoldOutlined, LogoutOutlined, UserOutlined } from '@ant-design/icons';
+import { Layout, Button, Dropdown, theme, Flex, Avatar, Typography, Tooltip } from 'antd';
+import { SearchOutlined, MenuUnfoldOutlined, LogoutOutlined, UserOutlined, RobotOutlined } from '@ant-design/icons';
 import { memo, useState } from 'react';
 import SearchDialog from './SearchDialog.tsx';
 import { authApi } from '../api/auth.ts';
@@ -14,9 +14,10 @@ const { Header } = Layout;
 export interface TopHeaderProps {
   collapsed: boolean;
   onToggle(): void;
+  onOpenAiAgent(): void;
 }
 
-const TopHeader = memo(function TopHeader({ collapsed, onToggle }: TopHeaderProps) {
+const TopHeader = memo(function TopHeader({ collapsed, onToggle, onOpenAiAgent }: TopHeaderProps) {
   const { token } = theme.useToken();
   const [searchOpen, setSearchOpen] = useState(false);
   const navigate = useNavigate();
@@ -50,6 +51,15 @@ const TopHeader = memo(function TopHeader({ collapsed, onToggle }: TopHeaderProp
       </Button>
       <SearchDialog open={searchOpen} onClose={() => setSearchOpen(false)} />
       <Flex style={{ marginLeft: 'auto' }} align="center" gap={12}>
+        <Tooltip title={t('AI Agent')}>
+          <Button
+            type="text"
+            icon={<RobotOutlined />}
+            aria-label={t('AI Agent')}
+            onClick={onOpenAiAgent}
+            style={{ paddingInline: 8, height: 40 }}
+          />
+        </Tooltip>
         <LanguageSwitcher />
         <Dropdown
           menu={{

web/src/pages/SystemSettingsPage/components/AiSettingsTab.tsx

@@ -80,7 +80,7 @@ interface ProviderTemplate {
   key: string;
   nameKey: string;
   descriptionKey: string;
-  api_format: 'openai' | 'gemini';
+  api_format: AIProviderPayload['api_format'];
   identifier: string;
   base_url?: string;
   logo_url?: string;
@@ -150,6 +150,28 @@ const providerTemplates: ProviderTemplate[] = [
     provider_type: 'builtin',
     doc_url: 'https://platform.openai.com/docs/api-reference',
   },
+  {
+    key: 'azure-openai',
+    nameKey: 'Azure OpenAI Provider',
+    descriptionKey: 'Azure OpenAI Provider Description',
+    api_format: 'openai',
+    identifier: 'azure-openai',
+    base_url: 'https://{resource-name}.openai.azure.com/openai/deployments/{deployment-name}',
+    logo_url: '/icon/azure-color.svg',
+    provider_type: 'builtin',
+    doc_url: 'https://learn.microsoft.com/en-us/azure/ai-services/openai/reference',
+  },
+  {
+    key: 'anthropic',
+    nameKey: 'Anthropic Provider',
+    descriptionKey: 'Anthropic Provider Description',
+    api_format: 'anthropic',
+    identifier: 'anthropic',
+    base_url: 'https://api.anthropic.com/v1',
+    logo_url: '/icon/anthropic.svg',
+    provider_type: 'builtin',
+    doc_url: 'https://docs.anthropic.com/claude/reference/messages_post',
+  },
   {
     key: 'google-ai',
     nameKey: 'Google AI Provider',
@@ -161,6 +183,17 @@ const providerTemplates: ProviderTemplate[] = [
     provider_type: 'builtin',
     doc_url: 'https://ai.google.dev/api/rest',
   },
+  {
+    key: 'zai',
+    nameKey: 'Z.ai Provider',
+    descriptionKey: 'Z.ai Provider Description',
+    api_format: 'openai',
+    identifier: 'zai',
+    base_url: 'https://open.bigmodel.cn/api/paas/v4',
+    logo_url: '/icon/zai.svg',
+    provider_type: 'builtin',
+    doc_url: 'https://open.bigmodel.cn/dev/api',
+  },
   {
     key: 'siliconflow',
     nameKey: 'SiliconFlow Provider',
@@ -183,6 +216,17 @@ const providerTemplates: ProviderTemplate[] = [
     provider_type: 'builtin',
     doc_url: 'https://platform.deepseek.com/api-docs',
   },
+  {
+    key: 'ollama',
+    nameKey: 'Ollama Provider',
+    descriptionKey: 'Ollama Provider Description',
+    api_format: 'ollama',
+    identifier: 'ollama',
+    base_url: 'http://localhost:11434',
+    logo_url: '/icon/ollama.svg',
+    provider_type: 'builtin',
+    doc_url: 'https://github.com/ollama/ollama/blob/main/docs/api.md',
+  },
 ];
 
 const abilityTagColor: Record<AIAbility, string> = {
@@ -295,7 +339,7 @@ export default function AiSettingsTab() {
         identifier: existing.identifier,
         api_format: existing.api_format,
         base_url: existing.base_url ?? undefined,
-        api_key: existing.api_key ?? undefined,
+        api_key: '',
         logo_url: existing.logo_url ?? undefined,
         provider_type: existing.provider_type ?? undefined,
       });
@@ -345,10 +389,12 @@ export default function AiSettingsTab() {
       identifier: (values.identifier || '').trim(),
       api_format: values.api_format,
       base_url: trimmedBaseUrl ? trimmedBaseUrl : null,
-      api_key: trimmedApiKey ? trimmedApiKey : null,
       logo_url: trimmedLogoUrl ? trimmedLogoUrl : null,
       provider_type: trimmedProviderType ? trimmedProviderType : null,
     };
+    if (trimmedApiKey) {
+      payload.api_key = trimmedApiKey;
+    }
     try {
       if (providerModal.editing) {
         await updateProvider(providerModal.editing.id, payload);
@@ -952,14 +998,16 @@ export default function AiSettingsTab() {
                     <div className="fx-ai-default-desc">{t(info.description)}</div>
                   </div>
                 </div>
-                <Select
-                  allowClear
-                  style={{ minWidth: 280 }}
-                  placeholder={t('Select a model')}
-                  value={defaultSelections[ability] ?? undefined}
-                  options={options}
-                  onChange={(value) => updateSelection(ability, value ?? null)}
-                />
+                <div className="fx-ai-default-control">
+                  <Select
+                    allowClear
+                    className="fx-ai-default-select"
+                    placeholder={t('Select a model')}
+                    value={defaultSelections[ability] ?? undefined}
+                    options={options}
+                    onChange={(value) => updateSelection(ability, value ?? null)}
+                  />
+                </div>
               </div>
             );
           })}
@@ -1069,19 +1117,41 @@ export default function AiSettingsTab() {
                   label={t('API Format')}
                   rules={[{ required: true }]}
                 >
-                  <Select
-                    disabled={!allowFormatChange}
-                    options={[
-                      { value: 'openai', label: 'OpenAI Compatible' },
-                      { value: 'gemini', label: 'Gemini Compatible' },
-                    ]}
-                  />
-                </Form.Item>
+                <Select
+                  disabled={!allowFormatChange}
+                  options={[
+                    { value: 'openai', label: 'OpenAI Compatible' },
+                    { value: 'gemini', label: 'Gemini Compatible' },
+                    { value: 'anthropic', label: 'Anthropic Native' },
+                    { value: 'ollama', label: 'Ollama Native' },
+                  ]}
+                />
+              </Form.Item>
                 <Form.Item name="base_url" label={t('Base URL')} rules={[{ required: true, message: t('Enter base url') }]}>
                   <Input placeholder="https://" />
                 </Form.Item>
-                <Form.Item name="api_key" label={t('API Key')}>
-                  <Input placeholder={t('Optional, can also be provided per request')} />
+                <Form.Item
+                  name="api_key"
+                  label={(
+                    <Space size={8}>
+                      {t('API Key')}
+                      {providerModal.editing ? (
+                        <Tag color={providerModal.editing.has_api_key ? 'green' : 'default'}>
+                          {providerModal.editing.has_api_key ? '已设置' : '未设置'}
+                        </Tag>
+                      ) : null}
+                    </Space>
+                  )}
+                >
+                  <Input.Password
+                    placeholder={
+                      providerModal.editing
+                        ? '留空不更新，填写将覆盖'
+                        : t('Optional, can also be provided per request')
+                    }
+                    autoComplete="new-password"
+                    visibilityToggle={false}
+                  />
                 </Form.Item>
                 <Form.Item name="logo_url" label={t('Logo URL')}>
                   <Input placeholder="https://" />

web/src/plugin-frame.ts

@@ -10,6 +10,15 @@ import { vfsApi, type VfsEntry } from './api/vfs';
 
 type FrameMode = 'file' | 'app';
 
+type FrameQuery = {
+  pluginKey: string;
+  mode: FrameMode;
+  filePath: string;
+  pluginVersion: string;
+  pluginStyles: string[] | null;
+  entry: VfsEntry | null;
+};
+
 function renderStatus(text: string, isError: boolean = false) {
   const root = document.getElementById('root');
   if (!root) return;
@@ -31,12 +40,55 @@ function renderStatus(text: string, isError: boolean = false) {
   root.appendChild(el);
 }
 
-function getQuery() {
+function scheduleStatus(text: string, delayMs: number) {
+  let canceled = false;
+  const t = window.setTimeout(() => {
+    if (canceled) return;
+    renderStatus(text);
+  }, delayMs);
+
+  return () => {
+    canceled = true;
+    window.clearTimeout(t);
+  };
+}
+
+function tryParseJson<T = unknown>(raw: string): T | null {
+  try {
+    return JSON.parse(raw) as T;
+  } catch {
+    return null;
+  }
+}
+
+function getQuery(): FrameQuery {
   const params = new URLSearchParams(window.location.search);
   const pluginKey = (params.get('pluginKey') || '').trim();
   const mode = (params.get('mode') || 'file') as FrameMode;
   const filePath = (params.get('filePath') || '').trim();
-  return { pluginKey, mode, filePath };
+  const pluginVersion = (params.get('pluginVersion') || '').trim();
+
+  const rawStyles = (params.get('pluginStyles') || '').trim();
+  const parsedStyles = rawStyles ? tryParseJson<unknown>(rawStyles) : null;
+  const pluginStyles = Array.isArray(parsedStyles)
+    ? parsedStyles.filter((s) => typeof s === 'string' && s.trim().length > 0)
+    : null;
+
+  const rawEntry = (params.get('entry') || '').trim();
+  const parsedEntry = rawEntry ? tryParseJson<any>(rawEntry) : null;
+  const entry: VfsEntry | null =
+    parsedEntry && typeof parsedEntry === 'object' && typeof parsedEntry.name === 'string'
+      ? {
+        name: String(parsedEntry.name),
+        is_dir: Boolean(parsedEntry.is_dir),
+        size: Number(parsedEntry.size || 0),
+        mtime: Number(parsedEntry.mtime || 0),
+        type: typeof parsedEntry.type === 'string' ? parsedEntry.type : undefined,
+        has_thumbnail: Boolean(parsedEntry.has_thumbnail),
+      }
+      : null;
+
+  return { pluginKey, mode, filePath, pluginVersion, pluginStyles, entry };
 }
 
 function postToParent(data: any) {
@@ -45,6 +97,51 @@ function postToParent(data: any) {
   }
 }
 
+type TempLinkCache = {
+  url: string;
+  fetchedAt: number;
+  expiresIn: number;
+};
+
+const TEMP_LINK_CACHE_PREFIX = 'foxel:tempLink:';
+const TEMP_LINK_DEFAULT_EXPIRES_IN = 3600;
+
+function getTempLinkCacheKey(filePath: string) {
+  return `${TEMP_LINK_CACHE_PREFIX}${filePath}`;
+}
+
+function readTempLinkCache(filePath: string): TempLinkCache | null {
+  try {
+    const raw = sessionStorage.getItem(getTempLinkCacheKey(filePath));
+    if (!raw) return null;
+    const parsed = JSON.parse(raw) as TempLinkCache;
+    if (!parsed || typeof parsed.url !== 'string') return null;
+    if (!parsed.fetchedAt || !parsed.expiresIn) return null;
+    if (Date.now() - parsed.fetchedAt >= parsed.expiresIn * 1000 - 10_000) return null;
+    return parsed;
+  } catch {
+    return null;
+  }
+}
+
+function writeTempLinkCache(filePath: string, item: TempLinkCache) {
+  try {
+    sessionStorage.setItem(getTempLinkCacheKey(filePath), JSON.stringify(item));
+  } catch {
+    void 0;
+  }
+}
+
+async function getTempLinkUrl(filePath: string, expiresIn: number = TEMP_LINK_DEFAULT_EXPIRES_IN) {
+  const cached = readTempLinkCache(filePath);
+  if (cached) return cached.url;
+
+  const tokenData = await vfsApi.getTempLinkToken(filePath, expiresIn);
+  const url = typeof tokenData?.url === 'string' && tokenData.url.trim() ? tokenData.url : vfsApi.getTempPublicUrl(tokenData.token);
+  writeTempLinkCache(filePath, { url, fetchedAt: Date.now(), expiresIn });
+  return url;
+}
+
 function createHostApi(pluginKey: string): FoxelHostApi {
   const showMessage: FoxelHostApi['showMessage'] = (type, content) => {
     const antd = window.__FOXEL_EXTERNALS__?.antd;
@@ -76,8 +173,7 @@ function createHostApi(pluginKey: string): FoxelHostApi {
     callApi: async <T = unknown>(path: string, options?: RequestInit & { json?: unknown }) =>
       request<T>(path, options),
     getTempLink: async (filePath: string) => {
-      const token = await vfsApi.getTempLinkToken(filePath);
-      return vfsApi.getTempPublicUrl(token.token);
+      return await getTempLinkUrl(filePath);
     },
     getStreamUrl: (filePath: string) => vfsApi.streamUrl(filePath),
   };
@@ -89,28 +185,28 @@ function getPluginStylePaths(plugin: PluginItem): string[] {
   return styles.filter((s) => typeof s === 'string' && s.trim().length > 0);
 }
 
-async function loadPluginStyles(pluginKey: string, plugin: PluginItem) {
-  const stylePaths = getPluginStylePaths(plugin);
-  if (stylePaths.length === 0) return;
-
-  const tasks = stylePaths.map(
-    (p) =>
-      new Promise<void>((resolve) => {
-        const href = `/api/plugins/${pluginKey}/assets/${p.replace(/^\/+/, '')}`;
-        const link = document.createElement('link');
-        link.rel = 'stylesheet';
-        link.href = href;
-        link.onload = () => resolve();
-        link.onerror = () => resolve();
-        document.head.appendChild(link);
-      })
-  );
-
-  await Promise.all(tasks);
+function withVersion(url: string, version?: string | null): string {
+  const v = typeof version === 'string' ? version.trim() : '';
+  if (!v) return url;
+  const u = new URL(url, window.location.origin);
+  u.searchParams.set('v', v);
+  return u.pathname + u.search;
 }
 
-async function loadPluginBundle(pluginKey: string): Promise<RegisteredPlugin> {
-  const url = `/api/plugins/${pluginKey}/bundle.js`;
+function injectPluginStyles(pluginKey: string, stylePaths: string[], version?: string | null) {
+  if (stylePaths.length === 0) return;
+
+  stylePaths.forEach((p) => {
+    const href = withVersion(`/api/plugins/${pluginKey}/assets/${p.replace(/^\/+/, '')}`, version);
+    const link = document.createElement('link');
+    link.rel = 'stylesheet';
+    link.href = href;
+    document.head.appendChild(link);
+  });
+}
+
+async function loadPluginBundle(pluginKey: string, version?: string | null): Promise<RegisteredPlugin> {
+  const url = withVersion(`/api/plugins/${pluginKey}/bundle.js`, version);
 
   return new Promise<RegisteredPlugin>((resolve, reject) => {
     let done = false;
@@ -140,24 +236,43 @@ async function loadPluginBundle(pluginKey: string): Promise<RegisteredPlugin> {
   });
 }
 
-async function buildFileContext(filePath: string) {
-  const stat = (await vfsApi.stat(filePath)) as any;
-  const name =
-    typeof stat?.name === 'string' && stat.name.trim().length > 0
-      ? stat.name
-      : filePath.replace(/\\/g, '/').split('/').filter(Boolean).pop() || 'unknown';
+function isLikelyImage(pathOrName: string) {
+  return /\.(jpg|jpeg|png|gif|bmp|webp|svg)$/i.test(pathOrName);
+}
 
-  const entry: VfsEntry = {
-    name,
-    is_dir: Boolean(stat?.is_dir),
-    size: Number(stat?.size || 0),
-    mtime: Number(stat?.mtime || 0),
-    type: typeof stat?.type === 'string' ? stat.type : undefined,
-    has_thumbnail: Boolean(stat?.has_thumbnail),
-  };
+function preloadImage(url: string) {
+  const img = new Image();
+  img.decoding = 'async';
+  img.src = url;
+}
 
-  const token = await vfsApi.getTempLinkToken(filePath);
-  const downloadUrl = vfsApi.getTempPublicUrl(token.token);
+async function buildFileContext(filePath: string, entryOverride: VfsEntry | null) {
+  const entryPromise = entryOverride
+    ? Promise.resolve(entryOverride)
+    : (async () => {
+      const stat = (await vfsApi.stat(filePath)) as any;
+      const name =
+        typeof stat?.name === 'string' && stat.name.trim().length > 0
+          ? stat.name
+          : filePath.replace(/\\/g, '/').split('/').filter(Boolean).pop() || 'unknown';
+
+      const entry: VfsEntry = {
+        name,
+        is_dir: Boolean(stat?.is_dir),
+        size: Number(stat?.size || 0),
+        mtime: Number(stat?.mtime || 0),
+        type: typeof stat?.type === 'string' ? stat.type : undefined,
+        has_thumbnail: Boolean(stat?.has_thumbnail),
+      };
+      return entry;
+    })();
+
+  const downloadUrlPromise = getTempLinkUrl(filePath);
+  if (isLikelyImage(filePath)) {
+    downloadUrlPromise.then(preloadImage).catch(() => void 0);
+  }
+
+  const [entry, downloadUrl] = await Promise.all([entryPromise, downloadUrlPromise]);
   const streamUrl = vfsApi.streamUrl(filePath);
 
   return { entry, urls: { downloadUrl, streamUrl } };
@@ -166,7 +281,7 @@ async function buildFileContext(filePath: string) {
 async function main() {
   initExternals();
 
-  const { pluginKey, mode, filePath } = getQuery();
+  const { pluginKey, mode, filePath, pluginVersion, pluginStyles, entry } = getQuery();
   if (!pluginKey) {
     renderStatus('Missing pluginKey in query string', true);
     return;
@@ -178,34 +293,37 @@ async function main() {
     return;
   }
 
-  renderStatus('Loading plugin...');
-
-  let plugin: PluginItem;
-  try {
-    plugin = await pluginsApi.get(pluginKey);
-  } catch (e) {
-    const msg = e instanceof Error ? e.message : String(e);
-    renderStatus(`Failed to load plugin info: ${msg}`, true);
-    return;
-  }
-
-  try {
-    await loadPluginStyles(pluginKey, plugin);
-  } catch {
-    // ignore
-  }
-
-  let registered: RegisteredPlugin;
-  try {
-    registered = await loadPluginBundle(pluginKey);
-  } catch (e) {
-    const msg = e instanceof Error ? e.message : String(e);
-    renderStatus(`Failed to load plugin bundle: ${msg}`, true);
-    return;
-  }
+  const cancelLoading = scheduleStatus('Loading plugin...', 200);
 
   const host = createHostApi(pluginKey);
 
+  const pluginPromise = (async () => {
+    if (pluginVersion && pluginStyles) {
+      injectPluginStyles(pluginKey, pluginStyles, pluginVersion);
+      return await loadPluginBundle(pluginKey, pluginVersion);
+    }
+
+    const plugin: PluginItem = await pluginsApi.get(pluginKey);
+    const resolvedVersion = plugin.version || '';
+    injectPluginStyles(pluginKey, getPluginStylePaths(plugin), resolvedVersion);
+    return await loadPluginBundle(pluginKey, resolvedVersion);
+  })();
+
+  const ctxPromise = mode === 'file' ? buildFileContext(filePath, entry) : Promise.resolve(null);
+
+  let registered: RegisteredPlugin;
+  let ctx: Awaited<ReturnType<typeof buildFileContext>> | null;
+  try {
+    [registered, ctx] = await Promise.all([pluginPromise, ctxPromise]);
+  } catch (e) {
+    const msg = e instanceof Error ? e.message : String(e);
+    cancelLoading();
+    renderStatus(`Failed to load plugin: ${msg}`, true);
+    return;
+  }
+
+  cancelLoading();
+
   let cleanup: (() => void) | null = null;
   const mountError = async () => {
     try {
@@ -224,8 +342,11 @@ async function main() {
         throw new Error('Missing filePath in query string');
       }
 
-      const { entry, urls } = await buildFileContext(filePath);
-      const ret = await registered.mount(root, { filePath, entry, urls, host });
+      if (!ctx) {
+        throw new Error('Missing file context');
+      }
+
+      const ret = await registered.mount(root, { filePath, entry: ctx.entry, urls: ctx.urls, host });
       if (typeof ret === 'function') cleanup = ret;
     } catch (e) {
       const msg = e instanceof Error ? e.message : String(e);

web/src/router/LayoutShell.tsx

@@ -16,6 +16,7 @@ import BackupPage from '../pages/SystemSettingsPage/BackupPage.tsx';
 import PluginsPage from '../pages/PluginsPage.tsx';
 import { AppWindowsProvider, useAppWindows } from '../contexts/AppWindowsContext';
 import { AppWindowsLayer } from '../apps/AppWindowsLayer';
+import AiAgentWidget from '../components/AiAgentWidget';
 
 const ShellBody = memo(function ShellBody() {
   const params = useParams<{ navKey?: string; '*': string }>();
@@ -24,11 +25,13 @@ const ShellBody = memo(function ShellBody() {
   const navigate = useNavigate();
   const COLLAPSED_KEY = 'layout.siderCollapsed';
   const [collapsed, setCollapsed] = useState(() => localStorage.getItem(COLLAPSED_KEY) === '1');
+  const [agentOpen, setAgentOpen] = useState(false);
   useEffect(() => {
     localStorage.setItem(COLLAPSED_KEY, collapsed ? '1' : '0');
   }, [collapsed]);
   const { windows, closeWindow, toggleMax, bringToFront, updateWindow } = useAppWindows();
   const settingsTab = navKey === 'settings' ? (subPath.split('/')[0] || undefined) : undefined;
+  const agentCurrentPath = navKey === 'files' ? ('/' + subPath).replace(/\/+/g, '/').replace(/\/+$/, '') || '/' : null;
   return (
     <Layout style={{ minHeight: '100vh', background: 'var(--ant-color-bg-layout)' }}>
       <SideNav
@@ -44,7 +47,7 @@ const ShellBody = memo(function ShellBody() {
         }}
       />
       <Layout style={{ background: 'var(--ant-color-bg-layout)' }}>
-        <TopHeader collapsed={collapsed} onToggle={() => setCollapsed(c => !c)} />
+        <TopHeader collapsed={collapsed} onToggle={() => setCollapsed(c => !c)} onOpenAiAgent={() => setAgentOpen(true)} />
         <Layout.Content style={{ padding: 16, background: 'var(--ant-color-bg-layout)' }}>
           <div style={{ minHeight: 'calc(100vh - 56px - 32px)', background: 'var(--ant-color-bg-layout)' }}>
             <Flex vertical gap={16}>
@@ -76,6 +79,7 @@ const ShellBody = memo(function ShellBody() {
         onBringToFront={bringToFront}
         onUpdateWindow={updateWindow}
       />
+      <AiAgentWidget currentPath={agentCurrentPath} open={agentOpen} onOpenChange={setAgentOpen} />
     </Layout>
   );
 });

web/src/styles/ai-agent.css

@@ -0,0 +1,244 @@
+.fx-agent-container {
+  height: 100%;
+}
+
+.fx-agent-chat-scroll {
+  flex: 1;
+  overflow-y: auto;
+  padding: 0;
+  border-radius: 0;
+  background: transparent;
+  border: 0;
+  box-shadow: none;
+}
+
+.fx-agent-empty {
+  height: 100%;
+  min-height: 240px;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+}
+
+.fx-agent-messages {
+  display: flex;
+  flex-direction: column;
+  gap: 14px;
+}
+
+.fx-agent-msg {
+  display: flex;
+  flex-direction: column;
+}
+
+.fx-agent-msg-user {
+  align-items: flex-end;
+}
+
+.fx-agent-msg-assistant {
+  align-items: flex-start;
+}
+
+.fx-agent-msg-tool {
+  align-items: stretch;
+}
+
+.fx-agent-user-block {
+  max-width: 85%;
+  padding: 10px 12px;
+  border-radius: 12px;
+  border: 1px solid var(--ant-color-border-secondary);
+  background: var(--ant-color-fill-quaternary);
+  box-shadow: 0 1px 0 rgba(0, 0, 0, 0.03);
+}
+
+.fx-agent-assistant-block {
+  max-width: 100%;
+  padding: 2px 2px;
+}
+
+.fx-agent-tool-block {
+  width: 100%;
+  padding: 10px 12px;
+  border-radius: 12px;
+  border: 1px solid var(--ant-color-border-secondary);
+  background: var(--ant-color-bg-container);
+  box-shadow: 0 1px 0 rgba(0, 0, 0, 0.03);
+}
+
+.fx-agent-tool-bar {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 12px;
+}
+
+.fx-agent-content {
+  font-size: 13px;
+  line-height: 1.75;
+  word-break: break-word;
+}
+
+.fx-agent-tool-pills .ant-tag {
+  margin-inline-end: 0;
+}
+
+.fx-agent-pill {
+  border-radius: 999px;
+  padding-inline: 10px;
+  padding-block: 2px;
+  border: 0;
+  background: rgba(0, 0, 0, 0.04);
+}
+
+.fx-agent-pill-strong {
+  background: var(--ant-color-primary-bg);
+  color: var(--ant-color-primary);
+}
+
+.fx-agent-pill-warn {
+  background: var(--ant-color-warning-bg);
+  color: var(--ant-color-warning);
+}
+
+.fx-agent-tool-summary-line {
+  margin-top: 6px;
+  font-size: 12px;
+  line-height: 1.6;
+  color: var(--ant-color-text-tertiary);
+}
+
+.fx-agent-tool-expanded {
+  margin-top: 10px;
+}
+
+.fx-agent-text {
+  white-space: pre-wrap;
+}
+
+.fx-agent-md {
+  white-space: normal;
+}
+
+.fx-agent-md p {
+  margin: 0 0 0.5em;
+}
+
+.fx-agent-md p:last-child {
+  margin-bottom: 0;
+}
+
+.fx-agent-md ul,
+.fx-agent-md ol {
+  margin: 0 0 0.5em;
+  padding-left: 1.2em;
+}
+
+.fx-agent-md code {
+  padding: 1px 6px;
+  border-radius: 6px;
+  background: rgba(0, 0, 0, 0.04);
+  border: 1px solid var(--ant-color-border-secondary);
+  font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
+  font-size: 11px;
+}
+
+.fx-agent-md pre {
+  margin: 0 0 0.5em;
+  padding: 8px 10px;
+  border-radius: 10px;
+  background: var(--ant-color-bg-container);
+  border: 1px solid var(--ant-color-border-secondary);
+  overflow: auto;
+}
+
+.fx-agent-md pre code {
+  display: block;
+  padding: 0;
+  border: 0;
+  background: transparent;
+  font-size: 11px;
+  line-height: 1.55;
+}
+
+.fx-agent-md blockquote {
+  margin: 0 0 0.65em;
+  padding: 0 0 0 10px;
+  border-left: 3px solid var(--ant-color-border);
+  color: var(--ant-color-text-tertiary);
+}
+
+.fx-agent-md a {
+  color: var(--ant-color-primary);
+}
+
+.fx-agent-tool-details {
+  padding: 8px;
+  border-radius: 10px;
+  background: rgba(0, 0, 0, 0.02);
+  border: 1px solid var(--ant-color-border-secondary);
+}
+
+.fx-agent-pre {
+  margin: 8px 0 0;
+  padding: 8px 10px;
+  border-radius: 10px;
+  background: var(--ant-color-bg-container);
+  border: 1px solid var(--ant-color-border-secondary);
+  font-size: 11px;
+  line-height: 1.5;
+  white-space: pre;
+  overflow: auto;
+  max-height: 260px;
+}
+
+.fx-agent-pre.fx-agent-pre-compact {
+  max-height: 200px;
+}
+
+.fx-agent-pending-group {
+  margin-top: 6px;
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+}
+
+.fx-agent-pending-head {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 10px;
+  padding: 8px 10px;
+  border-radius: 12px;
+  border: 1px solid var(--ant-color-border-secondary);
+  background: rgba(0, 0, 0, 0.02);
+}
+
+.fx-agent-pending-list {
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+}
+
+.fx-agent-composer {
+  padding: 8px 0 0;
+  background: transparent;
+  border-top: 1px solid var(--ant-color-border-secondary);
+}
+
+.fx-agent-composer .ant-input {
+  font-size: 12px;
+  line-height: 1.6;
+}
+
+.fx-agent-running {
+  margin-top: 4px;
+  padding: 6px 8px;
+  border-radius: 10px;
+  background: rgba(0, 0, 0, 0.03);
+  border: 1px dashed var(--ant-color-border-secondary);
+  display: flex;
+  align-items: center;
+  gap: 10px;
+}

web/src/styles/ai-settings.css

@@ -1,15 +1,13 @@
 .fx-ai-top-bar {
   display: flex;
   justify-content: space-between;
-  align-items: center;
-  padding: 20px 28px;
-  border-radius: 16px;
-  background: linear-gradient(120deg, rgba(99, 102, 241, 0.16), rgba(167, 139, 250, 0.12));
-  border: 1px solid rgba(99, 102, 241, 0.15);
+  align-items: flex-start;
+  gap: 16px;
+  padding: 0 4px;
 }
 
 .fx-ai-provider-card {
-  border-radius: 16px;
+  border-radius: 12px;
   overflow: hidden;
   box-shadow: var(--ant-box-shadow-secondary);
 }
@@ -115,7 +113,7 @@
 }
 
 .fx-ai-empty-card {
-  border-radius: 16px;
+  border-radius: 12px;
   background: var(--ant-color-fill-tertiary);
 }
 
@@ -128,16 +126,16 @@
 }
 
 .fx-ai-defaults-card {
-  border-radius: 16px;
+  border-radius: 12px;
   box-shadow: var(--ant-box-shadow-secondary);
 }
 
 .fx-ai-default-row {
-  display: flex;
+  display: grid;
+  grid-template-columns: 1fr minmax(240px, 360px);
   align-items: center;
-  justify-content: space-between;
   gap: 16px;
-  padding: 12px 0;
+  padding: 14px 0;
   border-bottom: 1px solid var(--ant-color-border-secondary);
 }
 
@@ -151,15 +149,26 @@
   align-items: center;
 }
 
+.fx-ai-default-control {
+  display: flex;
+  justify-content: flex-end;
+}
+
+.fx-ai-default-select {
+  width: 100%;
+}
+
 .fx-ai-default-icon {
-  width: 46px;
-  height: 46px;
-  border-radius: 16px;
+  width: 40px;
+  height: 40px;
+  border-radius: 12px;
   display: flex;
   align-items: center;
   justify-content: center;
-  font-size: 22px;
-  color: var(--ant-color-text-light-solid);
+  font-size: 20px;
+  background: var(--ant-color-fill-quaternary);
+  border: 1px solid var(--ant-color-border-secondary);
+  color: var(--ant-color-text-secondary);
 }
 
 .fx-ai-default-desc {
@@ -218,7 +227,7 @@
   align-items: center;
   justify-content: space-between;
   padding: 16px;
-  border-radius: 16px;
+  border-radius: 12px;
   background: var(--ant-color-fill-quaternary);
   border: 1px solid transparent;
   cursor: pointer;
@@ -251,7 +260,7 @@
 .fx-ai-template-icon.summary {
   width: 56px;
   height: 56px;
-  border-radius: 18px;
+  border-radius: 14px;
   font-size: 26px;
 }
 
@@ -284,7 +293,7 @@
   align-items: center;
   gap: 16px;
   padding: 16px;
-  border-radius: 16px;
+  border-radius: 12px;
   background: var(--ant-color-fill-quaternary);
 }
 
@@ -336,26 +345,78 @@
   color: var(--ant-color-text-tertiary);
 }
 
-.fx-ai-chat {
-  background: linear-gradient(135deg, #805ad5, #6b46c1);
+.fx-ai-default-icon.fx-ai-chat {
+  background: rgba(128, 90, 213, 0.12);
+  border-color: rgba(128, 90, 213, 0.25);
+  color: rgb(128, 90, 213);
 }
 
-.fx-ai-vision {
-  background: linear-gradient(135deg, #4c6ef5, #4263eb);
+.fx-ai-default-icon.fx-ai-vision {
+  background: rgba(76, 110, 245, 0.12);
+  border-color: rgba(76, 110, 245, 0.25);
+  color: rgb(76, 110, 245);
 }
 
-.fx-ai-embedding {
-  background: linear-gradient(135deg, #f7b733, #fc4a1a);
+.fx-ai-default-icon.fx-ai-embedding {
+  background: rgba(247, 183, 51, 0.14);
+  border-color: rgba(247, 183, 51, 0.28);
+  color: rgb(215, 145, 0);
 }
 
-.fx-ai-rerank {
-  background: linear-gradient(135deg, #0ea5e9, #0284c7);
+.fx-ai-default-icon.fx-ai-rerank {
+  background: rgba(14, 165, 233, 0.12);
+  border-color: rgba(14, 165, 233, 0.25);
+  color: rgb(14, 165, 233);
 }
 
-.fx-ai-voice {
-  background: linear-gradient(135deg, #f97316, #ea580c);
+.fx-ai-default-icon.fx-ai-voice {
+  background: rgba(249, 115, 22, 0.12);
+  border-color: rgba(249, 115, 22, 0.25);
+  color: rgb(249, 115, 22);
 }
 
-.fx-ai-tools {
-  background: linear-gradient(135deg, #ec4899, #db2777);
+.fx-ai-default-icon.fx-ai-tools {
+  background: rgba(236, 72, 153, 0.12);
+  border-color: rgba(236, 72, 153, 0.25);
+  color: rgb(236, 72, 153);
+}
+
+html[data-theme='dark'] .fx-ai-default-icon.fx-ai-chat {
+  background: rgba(128, 90, 213, 0.18);
+  border-color: rgba(128, 90, 213, 0.35);
+}
+
+html[data-theme='dark'] .fx-ai-default-icon.fx-ai-vision {
+  background: rgba(76, 110, 245, 0.18);
+  border-color: rgba(76, 110, 245, 0.35);
+}
+
+html[data-theme='dark'] .fx-ai-default-icon.fx-ai-embedding {
+  background: rgba(247, 183, 51, 0.2);
+  border-color: rgba(247, 183, 51, 0.38);
+}
+
+html[data-theme='dark'] .fx-ai-default-icon.fx-ai-rerank {
+  background: rgba(14, 165, 233, 0.18);
+  border-color: rgba(14, 165, 233, 0.35);
+}
+
+html[data-theme='dark'] .fx-ai-default-icon.fx-ai-voice {
+  background: rgba(249, 115, 22, 0.18);
+  border-color: rgba(249, 115, 22, 0.35);
+}
+
+html[data-theme='dark'] .fx-ai-default-icon.fx-ai-tools {
+  background: rgba(236, 72, 153, 0.18);
+  border-color: rgba(236, 72, 153, 0.35);
+}
+
+@media (max-width: 768px) {
+  .fx-ai-default-row {
+    grid-template-columns: 1fr;
+  }
+
+  .fx-ai-default-control {
+    justify-content: flex-start;
+  }
 }