chore: update version to v1.3.4

* Initial plan

* Initial analysis and plan for text editor file format support

Co-authored-by: DrizzleTime <169802108+DrizzleTime@users.noreply.github.com>

* Add support for common code file formats in text editor

Co-authored-by: DrizzleTime <169802108+DrizzleTime@users.noreply.github.com>

* Update file icons to include newly supported file extensions

Co-authored-by: DrizzleTime <169802108+DrizzleTime@users.noreply.github.com>

* Delete web/package-lock.json

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: DrizzleTime <169802108+DrizzleTime@users.noreply.github.com>
Co-authored-by: 时雨 <im@shiyu.dev>

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -0,0 +1,75 @@
+name: Bug Report / 缺陷报告
+description: Report reproducible defects with clear context / 请提供可复现的缺陷信息
+title: "[Bug] "
+labels:
+  - bug
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for helping us improve Foxel! / 感谢你帮助改进 Foxel！
+        Please confirm the checklist below before filing. / 在提交前请确认以下事项。
+  - type: checkboxes
+    id: validations
+    attributes:
+      label: Pre-flight Check / 提交前检查
+      options:
+        - label: I searched existing issues and docs / 我已搜索现有 Issue 与文档
+          required: true
+        - label: This is not a question or feature request / 这不是问题咨询或功能需求
+          required: true
+  - type: textarea
+    id: summary
+    attributes:
+      label: Bug Summary / 缺陷摘要
+      description: Briefly describe what is wrong / 简要说明出现了什么问题
+      placeholder: e.g. Upload fails with 500 error / 例如：上传时报 500 错误
+    validations:
+      required: true
+  - type: textarea
+    id: steps
+    attributes:
+      label: Steps to Reproduce / 复现步骤
+      description: List numbered steps to trigger the bug / 列出触发问题的步骤
+      placeholder: |
+        1. ...
+        2. ...
+        3. ...
+    validations:
+      required: true
+  - type: textarea
+    id: expected
+    attributes:
+      label: Expected Behavior / 预期行为
+      description: What should happen instead? / 期望看到什么结果？
+    validations:
+      required: true
+  - type: textarea
+    id: actual
+    attributes:
+      label: Actual Behavior / 实际行为
+      description: What actually happens? Include messages or screenshots / 实际发生了什么？可附报错或截图
+    validations:
+      required: true
+  - type: input
+    id: version
+    attributes:
+      label: Version / 版本信息
+      description: Git commit, tag, or build number / 提供 Git 提交、标签或构建号
+    validations:
+      required: false
+  - type: textarea
+    id: environment
+    attributes:
+      label: Environment / 运行环境
+      description: OS, browser, API server config, etc. / 操作系统、浏览器、服务端配置等
+    validations:
+      required: false
+  - type: textarea
+    id: logs
+    attributes:
+      label: Logs & Attachments / 日志与附件
+      description: Paste relevant logs, stack traces, screenshots / 粘贴相关日志、堆栈或截图
+      render: shell
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -0,0 +1,56 @@
+name: Feature Request / 功能需求
+description: Suggest enhancements or new capabilities / 提出改进或新增能力
+title: "[Feature] "
+labels:
+  - enhancement
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Tell us about your idea! / 欢迎分享你的想法！
+        Please complete the sections below so we can evaluate it quickly. / 请完整填写以下信息，便于快速评估。
+  - type: checkboxes
+    id: prechecks
+    attributes:
+      label: Pre-flight Check / 提交前检查
+      options:
+        - label: I searched existing issues and roadmap / 我已搜索现有 Issue 与路线图
+          required: true
+        - label: This is not a bug report or question / 这不是缺陷或问题咨询
+          required: true
+  - type: textarea
+    id: summary
+    attributes:
+      label: Feature Summary / 功能概述
+      description: What do you want to build? / 希望新增什么能力？
+      placeholder: e.g. Support sharing download links / 例如：支持分享下载链接
+    validations:
+      required: true
+  - type: textarea
+    id: motivation
+    attributes:
+      label: Motivation / 背景与价值
+      description: Why is this feature important? Who benefits? / 为什么重要？受益者是谁？
+    validations:
+      required: true
+  - type: textarea
+    id: scope
+    attributes:
+      label: Proposed Solution / 建议方案
+      description: Outline how the feature might work, including API or UI hints / 描述可能的实现方式，包含 API 或 UI 提示
+    validations:
+      required: false
+  - type: textarea
+    id: alternatives
+    attributes:
+      label: Alternatives / 可选方案
+      description: List any alternatives considered / 如有考虑过其他方案请列出
+    validations:
+      required: false
+  - type: textarea
+    id: extra
+    attributes:
+      label: Additional Context / 补充信息
+      description: Diagrams, sketches, links, constraints, etc. / 可附上草图、链接或约束
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/question.yml

@@ -0,0 +1,42 @@
+name: Question / 问题咨询
+description: Ask about usage, configuration, or clarification / 用于使用、配置或澄清问题
+title: "[Question] "
+labels:
+  - question
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Need help? You're in the right place. / 需要帮助？请按以下提示填写。
+        Check the docs before filing. / 提交前请先查阅文档。
+  - type: checkboxes
+    id: prechecks
+    attributes:
+      label: Pre-flight Check / 提交前检查
+      options:
+        - label: I searched existing issues and discussions / 我已搜索现有 Issue 和讨论
+          required: true
+        - label: I read the relevant documentation / 我已阅读相关文档
+          required: true
+  - type: textarea
+    id: question
+    attributes:
+      label: Question Details / 问题详情
+      description: What do you need help with? Be specific. / 具体说明需要帮助的内容
+      placeholder: Describe the scenario, expectation, and blockers / 说明场景、期望结果与阻碍
+    validations:
+      required: true
+  - type: textarea
+    id: tried
+    attributes:
+      label: What You Tried / 已尝试方案
+      description: List commands, configs, or steps attempted / 列出尝试过的命令、配置或步骤
+    validations:
+      required: false
+  - type: textarea
+    id: context
+    attributes:
+      label: Additional Context / 补充信息
+      description: Environment details, logs, screenshots / 可补充运行环境、日志或截图
+    validations:
+      required: false

.github/workflows/docker.yml

@@ -2,6 +2,8 @@ name: Build and Push Docker image
 
 on:
   push:
+    branches:
+      - main
     tags:
       - 'v*.*.*'
   workflow_dispatch:
@@ -48,4 +50,4 @@ jobs:
           context: .
           platforms: linux/amd64,linux/arm64
           push: true
-          tags: ${{ env.DOCKER_TAGS }}
+          tags: ${{ env.DOCKER_TAGS }}

Dockerfile

@@ -13,7 +13,9 @@ FROM python:3.13-slim
 
 WORKDIR /app
 
-RUN apt-get update && apt-get install -y nginx git && rm -rf /var/lib/apt/lists/*
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends nginx git ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
 
 RUN pip install uv
 COPY pyproject.toml uv.lock ./
@@ -35,4 +37,4 @@ EXPOSE 80
 COPY entrypoint.sh /entrypoint.sh
 RUN chmod +x /entrypoint.sh
 
-CMD ["/entrypoint.sh"]
+CMD ["/entrypoint.sh"]

api/routers.py

@@ -1,6 +1,6 @@
 from fastapi import FastAPI
 
-from .routes import adapters, virtual_fs, auth, config, processors, tasks, logs, share, backup, search, vector_db, offline_downloads
+from .routes import adapters, virtual_fs, auth, config, processors, tasks, logs, share, backup, search, vector_db, offline_downloads, ai_providers
 from .routes import webdav
 from .routes import plugins
 
@@ -18,6 +18,7 @@ def include_routers(app: FastAPI):
     app.include_router(share.public_router)
     app.include_router(backup.router)
     app.include_router(vector_db.router)
+    app.include_router(ai_providers.router)
     app.include_router(plugins.router)
     app.include_router(webdav.router)
     app.include_router(offline_downloads.router)

api/routes/ai_providers.py

@@ -0,0 +1,177 @@
+from typing import Annotated, Dict, Optional
+
+import httpx
+from fastapi import APIRouter, Depends, HTTPException, Path
+
+from api.response import success
+from schemas.ai import (
+    AIDefaultsUpdate,
+    AIModelCreate,
+    AIModelUpdate,
+    AIProviderCreate,
+    AIProviderUpdate,
+)
+from services.ai_providers import AIProviderService
+from services.auth import User, get_current_active_user
+from services.vector_db import VectorDBService
+
+
+router = APIRouter(prefix="/api/ai", tags=["ai"])
+service = AIProviderService()
+
+
+@router.get("/providers")
+async def list_providers(
+    current_user: Annotated[User, Depends(get_current_active_user)]
+):
+    providers = await service.list_providers()
+    return success({"providers": providers})
+
+
+@router.post("/providers")
+async def create_provider(
+    payload: AIProviderCreate,
+    current_user: Annotated[User, Depends(get_current_active_user)]
+):
+    provider = await service.create_provider(payload.dict())
+    return success(provider)
+
+
+@router.get("/providers/{provider_id}")
+async def get_provider(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    provider = await service.get_provider(provider_id, with_models=True)
+    return success(provider)
+
+
+@router.put("/providers/{provider_id}")
+async def update_provider(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    payload: AIProviderUpdate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    data = {k: v for k, v in payload.dict().items() if v is not None}
+    if not data:
+        raise HTTPException(status_code=400, detail="No fields to update")
+    provider = await service.update_provider(provider_id, data)
+    return success(provider)
+
+
+@router.delete("/providers/{provider_id}")
+async def delete_provider(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    await service.delete_provider(provider_id)
+    return success({"id": provider_id})
+
+
+@router.post("/providers/{provider_id}/sync-models")
+async def sync_models(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    try:
+        result = await service.sync_models(provider_id)
+    except (httpx.RequestError, httpx.HTTPStatusError) as exc:
+        raise HTTPException(status_code=502, detail=f"Failed to synchronize models: {exc}") from exc
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+    return success(result)
+
+
+@router.get("/providers/{provider_id}/remote-models")
+async def fetch_remote_models(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    try:
+        models = await service.fetch_remote_models(provider_id)
+    except (httpx.RequestError, httpx.HTTPStatusError) as exc:
+        raise HTTPException(status_code=502, detail=f"Failed to pull models: {exc}") from exc
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+    return success({"models": models})
+
+
+@router.get("/providers/{provider_id}/models")
+async def list_models(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    models = await service.list_models(provider_id)
+    return success({"models": models})
+
+
+@router.post("/providers/{provider_id}/models")
+async def create_model(
+    provider_id: Annotated[int, Path(..., gt=0)],
+    payload: AIModelCreate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    model = await service.create_model(provider_id, payload.dict())
+    return success(model)
+
+
+@router.put("/models/{model_id}")
+async def update_model(
+    model_id: Annotated[int, Path(..., gt=0)],
+    payload: AIModelUpdate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    data = {k: v for k, v in payload.dict().items() if v is not None}
+    if not data:
+        raise HTTPException(status_code=400, detail="No fields to update")
+    model = await service.update_model(model_id, data)
+    return success(model)
+
+
+@router.delete("/models/{model_id}")
+async def delete_model(
+    model_id: Annotated[int, Path(..., gt=0)],
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    await service.delete_model(model_id)
+    return success({"id": model_id})
+
+
+def _get_embedding_dimension(entry: Optional[Dict]) -> Optional[int]:
+    if not entry:
+        return None
+    value = entry.get("embedding_dimensions")
+    return int(value) if value is not None else None
+
+
+@router.get("/defaults")
+async def get_defaults(
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    defaults = await service.get_default_models()
+    return success(defaults)
+
+
+@router.put("/defaults")
+async def update_defaults(
+    payload: AIDefaultsUpdate,
+    current_user: Annotated[User, Depends(get_current_active_user)],
+):
+    previous = await service.get_default_models()
+    try:
+        updated = await service.set_default_models(payload.as_mapping())
+    except ValueError as exc:
+        raise HTTPException(status_code=400, detail=str(exc)) from exc
+
+    prev_dim = _get_embedding_dimension(previous.get("embedding"))
+    next_dim = _get_embedding_dimension(updated.get("embedding"))
+
+    if prev_dim and next_dim and prev_dim != next_dim:
+        try:
+            await VectorDBService().clear_all_data()
+        except Exception as exc:  # noqa: BLE001
+            raise HTTPException(status_code=500, detail=f"Failed to clear vector database: {exc}") from exc
+
+    return success(updated)

api/routes/auth.py

@@ -66,7 +66,7 @@ async def get_me(current_user: Annotated[User, Depends(get_current_active_user)]
     """
     email = (current_user.email or "").strip().lower()
     md5_hash = hashlib.md5(email.encode("utf-8")).hexdigest()
-    gravatar_url = f"https://www.gravatar.com/avatar/{md5_hash}?s=64&d=identicon"
+    gravatar_url = f"https://cn.cravatar.com/avatar/{md5_hash}?s=64&d=identicon"
     return success({
         "id": current_user.id,
         "username": current_user.username,

api/routes/config.py

@@ -1,11 +1,10 @@
 import httpx
 import time
-from fastapi import APIRouter, Depends, Form, HTTPException
+from fastapi import APIRouter, Depends, Form
 from typing import Annotated
 from services.config import ConfigCenter, VERSION
 from services.auth import get_current_active_user, User, has_users
 from api.response import success
-from services.vector_db import VectorDBService
 router = APIRouter(prefix="/api/config", tags=["config"])
 
 
@@ -24,27 +23,8 @@ async def set_config(
     key: str = Form(...),
     value: str = Form(...)
 ):
-    original_value = await ConfigCenter.get(key)
-    value_to_save = value
-    if key == "AI_EMBED_DIM":
-        try:
-            parsed_value = int(value)
-        except (TypeError, ValueError):
-            raise HTTPException(status_code=400, detail="AI_EMBED_DIM must be an integer")
-        if parsed_value <= 0:
-            raise HTTPException(status_code=400, detail="AI_EMBED_DIM must be greater than zero")
-        value_to_save = str(parsed_value)
-
-    await ConfigCenter.set(key, value_to_save)
-
-    if key == "AI_EMBED_DIM" and str(original_value) != value_to_save:
-        try:
-            service = VectorDBService()
-            await service.clear_all_data()
-        except Exception as exc:
-            raise HTTPException(status_code=500, detail=f"Failed to clear vector database: {exc}")
-
-    return success({"key": key, "value": value_to_save})
+    await ConfigCenter.set(key, value)
+    return success({"key": key, "value": value})
 
 
 @router.get("/all")

api/routes/processors.py

@@ -3,6 +3,8 @@ from fastapi import APIRouter, Depends, Body, HTTPException
 from fastapi.concurrency import run_in_threadpool
 from typing import Annotated
 from services.processors.registry import (
+    get,
+    get_config_schema,
     get_config_schemas,
     get_module_path,
     reload_processors,
@@ -11,7 +13,8 @@ from services.task_queue import task_queue_service
 from services.auth import get_current_active_user, User
 from api.response import success
 from pydantic import BaseModel
-from services.virtual_fs import path_is_directory
+from services.virtual_fs import path_is_directory, resolve_adapter_and_rel
+from typing import List, Optional, Tuple
 
 router = APIRouter(prefix="/api/processors", tags=["processors"])
 
@@ -42,6 +45,15 @@ class ProcessRequest(BaseModel):
     overwrite: bool = False
 
 
+class ProcessDirectoryRequest(BaseModel):
+    path: str
+    processor_type: str
+    config: dict
+    overwrite: bool = True
+    max_depth: Optional[int] = None
+    suffix: Optional[str] = None
+
+
 class UpdateSourceRequest(BaseModel):
     source: str
 
@@ -69,6 +81,128 @@ async def process_file_with_processor(
     return success({"task_id": task.id})
 
 
+@router.post("/process-directory")
+async def process_directory_with_processor(
+    current_user: Annotated[User, Depends(get_current_active_user)],
+    req: ProcessDirectoryRequest = Body(...)
+):
+    if req.max_depth is not None and req.max_depth < 0:
+        raise HTTPException(400, detail="max_depth must be >= 0")
+
+    is_dir = await path_is_directory(req.path)
+    if not is_dir:
+        raise HTTPException(400, detail="Path must be a directory")
+
+    schema = get_config_schema(req.processor_type)
+    _processor = get(req.processor_type)
+    if not schema or not _processor:
+        raise HTTPException(404, detail="Processor not found")
+
+    produces_file = bool(schema.get("produces_file"))
+    raw_suffix = req.suffix if req.suffix is not None else None
+    if raw_suffix is not None and raw_suffix.strip() == "":
+        raw_suffix = None
+    suffix = raw_suffix
+    overwrite = req.overwrite
+
+    if produces_file:
+        if not overwrite and not suffix:
+            raise HTTPException(400, detail="Suffix is required when not overwriting files")
+    else:
+        overwrite = False
+        suffix = None
+
+    supported_exts = schema.get("supported_exts") or []
+    allowed_exts = {
+        ext.lower().lstrip('.')
+        for ext in supported_exts
+        if isinstance(ext, str)
+    }
+
+    def matches_extension(file_rel: str) -> bool:
+        if not allowed_exts:
+            return True
+        if '.' not in file_rel:
+            return '' in allowed_exts
+        ext = file_rel.rsplit('.', 1)[-1].lower()
+        return ext in allowed_exts or f'.{ext}' in allowed_exts
+
+    adapter_instance, adapter_model, root, rel = await resolve_adapter_and_rel(req.path)
+    rel = rel.rstrip('/')
+
+    list_dir = getattr(adapter_instance, "list_dir", None)
+    if not callable(list_dir):
+        raise HTTPException(501, detail="Adapter does not implement list_dir")
+
+    def build_absolute_path(mount_path: str, rel_path: str) -> str:
+        rel_norm = rel_path.lstrip('/')
+        mount_norm = mount_path.rstrip('/')
+        if not mount_norm:
+            return '/' + rel_norm if rel_norm else '/'
+        return f"{mount_norm}/{rel_norm}" if rel_norm else mount_norm
+
+    def apply_suffix(path_str: str, suffix_str: str) -> str:
+        path_obj = Path(path_str)
+        name = path_obj.name
+        if not name:
+            return path_str
+        if '.' in name:
+            base, ext = name.rsplit('.', 1)
+            new_name = f"{base}{suffix_str}.{ext}"
+        else:
+            new_name = f"{name}{suffix_str}"
+        return str(path_obj.with_name(new_name))
+
+    scheduled_tasks: List[str] = []
+    stack: List[Tuple[str, int]] = [(rel, 0)]
+    page_size = 200
+
+    while stack:
+        current_rel, depth = stack.pop()
+        page = 1
+        while True:
+            entries, total = await list_dir(root, current_rel, page, page_size, "name", "asc")
+            entries = entries or []
+            if not entries and (total or 0) == 0:
+                break
+
+            for entry in entries:
+                name = entry.get("name")
+                if not name:
+                    continue
+                child_rel = f"{current_rel}/{name}" if current_rel else name
+                if entry.get("is_dir"):
+                    if req.max_depth is None or depth < req.max_depth:
+                        stack.append((child_rel.rstrip('/'), depth + 1))
+                    continue
+                if not matches_extension(child_rel):
+                    continue
+                absolute_path = build_absolute_path(adapter_model.path, child_rel)
+                save_to = None
+                if produces_file and not overwrite and suffix:
+                    save_to = apply_suffix(absolute_path, suffix)
+                task = await task_queue_service.add_task(
+                    "process_file",
+                    {
+                        "path": absolute_path,
+                        "processor_type": req.processor_type,
+                        "config": req.config,
+                        "save_to": save_to,
+                        "overwrite": overwrite,
+                    },
+                )
+                scheduled_tasks.append(task.id)
+
+            if total is None or page * page_size >= total:
+                break
+            page += 1
+
+    return success({
+        "task_ids": scheduled_tasks,
+        "scheduled": len(scheduled_tasks),
+    })
+
+
 @router.get("/source/{processor_type}")
 async def get_processor_source(
     processor_type: str,

api/routes/search.py

@@ -1,4 +1,7 @@
+from typing import Any, Dict, List, Tuple
+
 from fastapi import APIRouter, Depends, Query
+
 from schemas.fs import SearchResultItem
 from services.auth import get_current_active_user, User
 from services.ai import get_text_embedding
@@ -6,24 +9,96 @@ from services.vector_db import VectorDBService
 
 router = APIRouter(prefix="/api/search", tags=["search"])
 
-async def search_files_by_vector(q: str, top_k: int):
-    embedding = await get_text_embedding(q)
-    vector_db = VectorDBService()
-    results = await vector_db.search_vectors("vector_collection", embedding, top_k)
-    items = [
-        SearchResultItem(id=res["id"], path=res["entity"]["path"], score=res["distance"])
-        for res in results[0]
-    ]
-    return {"items": items, "query": q}
 
-async def search_files_by_name(q: str, top_k: int):
+def _normalize_result(raw: Dict[str, Any], source: str, fallback_score: float = 0.0) -> SearchResultItem:
+    entity = dict(raw.get("entity") or {})
+    source_path = entity.get("source_path")
+    stored_path = entity.get("path")
+    path = source_path or stored_path or ""
+    chunk_id_value = entity.get("chunk_id")
+    chunk_id = str(chunk_id_value) if chunk_id_value is not None else None
+    snippet = entity.get("text") or entity.get("description") or entity.get("name")
+    mime = entity.get("mime")
+    start_offset = entity.get("start_offset")
+    end_offset = entity.get("end_offset")
+    raw_score = raw.get("distance")
+    score = float(raw_score) if raw_score is not None else fallback_score
+
+    metadata = {
+        "retrieval_source": source,
+        "raw_distance": raw_score,
+    }
+    if stored_path and stored_path != path:
+        metadata["stored_path"] = stored_path
+    vector_id = entity.get("vector_id")
+    if vector_id:
+        metadata["vector_id"] = vector_id
+
+    return SearchResultItem(
+        id=str(raw.get("id")),
+        path=path,
+        score=score,
+        chunk_id=chunk_id,
+        snippet=snippet,
+        mime=mime,
+        source_type=entity.get("type") or source,
+        start_offset=start_offset,
+        end_offset=end_offset,
+        metadata=metadata,
+    )
+
+
+async def _vector_search(query: str, top_k: int) -> List[SearchResultItem]:
     vector_db = VectorDBService()
-    results = await vector_db.search_by_path("vector_collection", q, top_k)
-    items = [
-        SearchResultItem(id=idx, path=res["entity"]["path"], score=res["distance"])
-        for idx, res in enumerate(results[0])
-    ]
-    return {"items": items, "query": q}
+    try:
+        embedding = await get_text_embedding(query)
+    except Exception:
+        embedding = None
+    if not embedding:
+        return []
+
+    try:
+        raw_results = await vector_db.search_vectors("vector_collection", embedding, max(top_k, 10))
+    except Exception:
+        return []
+
+    results: List[SearchResultItem] = []
+    for bucket in raw_results or []:
+        for record in bucket or []:
+            results.append(_normalize_result(record, "vector"))
+    return results
+
+
+async def _filename_search(query: str, page: int, page_size: int) -> Tuple[List[SearchResultItem], bool]:
+    vector_db = VectorDBService()
+    limit = max(page * page_size + 1, page_size * (page + 2))
+    limit = min(limit, 2000)
+    try:
+        raw_results = await vector_db.search_by_path("vector_collection", query, limit)
+    except Exception:
+        return [], False
+
+    records = raw_results[0] if raw_results else []
+    deduped: List[SearchResultItem] = []
+    seen_paths: set[str] = set()
+    for record in records or []:
+        item = _normalize_result(record, "filename", fallback_score=1.0)
+        stored_path = item.metadata.get("stored_path") if item.metadata else None
+        key = item.path or stored_path or ""
+        if key in seen_paths:
+            continue
+        seen_paths.add(key)
+        deduped.append(item)
+
+    start = max(page - 1, 0) * page_size
+    end = start + page_size
+    page_items = deduped[start:end]
+    for offset, item in enumerate(page_items):
+        if item.metadata is None:
+            item.metadata = {}
+        item.metadata.setdefault("retrieval_rank", start + offset)
+    has_more = len(deduped) > end
+    return page_items, has_more
 
 
 @router.get("")
@@ -31,11 +106,32 @@ async def search_files(
     q: str = Query(..., description="搜索查询"),
     top_k: int = Query(10, description="返回结果数量"),
     mode: str = Query("vector", description="搜索模式: 'vector' 或 'filename'"),
+    page: int = Query(1, description="分页页码，仅在文件名搜索模式下生效"),
+    page_size: int = Query(10, description="分页大小，仅在文件名搜索模式下生效"),
     user: User = Depends(get_current_active_user),
 ):
+    if not q.strip():
+        return {"items": [], "query": q}
+
+    top_k = max(top_k, 1)
+    page = max(page, 1)
+    page_size = max(min(page_size, 100), 1)
+
     if mode == "vector":
-        return await search_files_by_vector(q, top_k)
+        items = (await _vector_search(q, top_k))[:top_k]
     elif mode == "filename":
-        return await search_files_by_name(q, top_k)
+        items, has_more = await _filename_search(q, page, page_size)
+        return {
+            "items": items,
+            "query": q,
+            "mode": mode,
+            "pagination": {
+                "page": page,
+                "page_size": page_size,
+                "has_more": has_more,
+            },
+        }
     else:
-        return {"items": [], "query": q, "error": "Invalid search mode"}
+        items = (await _vector_search(q, top_k))[:top_k]
+
+    return {"items": items, "query": q, "mode": mode}

api/routes/vector_db.py

@@ -24,8 +24,6 @@ class VectorDBConfigPayload(BaseModel):
 
 @router.post("/clear-all", summary="清空向量数据库")
 async def clear_vector_db(user: UserAccount = Depends(get_current_active_user)):
-    if user.username != 'admin':
-        raise HTTPException(status_code=403, detail="仅管理员可操作")
     try:
         service = VectorDBService()
         await service.clear_all_data()
@@ -36,8 +34,6 @@ async def clear_vector_db(user: UserAccount = Depends(get_current_active_user)):
 
 @router.get("/stats", summary="获取向量数据库统计")
 async def get_vector_db_stats(user: UserAccount = Depends(get_current_active_user)):
-    if user.username != 'admin':
-        raise HTTPException(status_code=403, detail="仅管理员可操作")
     try:
         service = VectorDBService()
         data = await service.get_all_stats()
@@ -48,15 +44,11 @@ async def get_vector_db_stats(user: UserAccount = Depends(get_current_active_use
 
 @router.get("/providers", summary="列出可用向量数据库提供者")
 async def list_vector_providers(user: UserAccount = Depends(get_current_active_user)):
-    if user.username != 'admin':
-        raise HTTPException(status_code=403, detail="仅管理员可操作")
     return success(list_providers())
 
 
 @router.get("/config", summary="获取当前向量数据库配置")
 async def get_vector_db_config(user: UserAccount = Depends(get_current_active_user)):
-    if user.username != 'admin':
-        raise HTTPException(status_code=403, detail="仅管理员可操作")
     service = VectorDBService()
     data = await service.current_provider()
     return success(data)
@@ -64,18 +56,17 @@ async def get_vector_db_config(user: UserAccount = Depends(get_current_active_us
 
 @router.post("/config", summary="更新向量数据库配置")
 async def update_vector_db_config(payload: VectorDBConfigPayload, user: UserAccount = Depends(get_current_active_user)):
-    if user.username != 'admin':
-        raise HTTPException(status_code=403, detail="仅管理员可操作")
-
     entry = get_provider_entry(payload.type)
     if not entry:
-        raise HTTPException(status_code=400, detail=f"未知的向量数据库类型: {payload.type}")
+        raise HTTPException(
+            status_code=400, detail=f"未知的向量数据库类型: {payload.type}")
     if not entry.get("enabled", True):
         raise HTTPException(status_code=400, detail="该向量数据库类型暂不可用")
 
     provider_cls = get_provider_class(payload.type)
     if not provider_cls:
-        raise HTTPException(status_code=400, detail=f"未找到类型 {payload.type} 对应的实现")
+        raise HTTPException(
+            status_code=400, detail=f"未找到类型 {payload.type} 对应的实现")
 
     # 先尝试建立连接，确保配置有效
     test_provider = provider_cls(payload.config)

api/routes/virtual_fs.py

@@ -15,8 +15,9 @@ from services.virtual_fs import (
     stream_file,
     generate_temp_link_token,
     verify_temp_link_token,
+    maybe_redirect_download,
 )
-from services.thumbnail import is_image_filename, get_or_create_thumb, is_raw_filename
+from services.thumbnail import is_image_filename, get_or_create_thumb, is_raw_filename, is_video_filename
 from schemas import MkdirRequest, MoveRequest
 from api.response import success
 from services.config import ConfigCenter
@@ -50,6 +51,12 @@ async def get_file(
         except Exception as e:
             raise HTTPException(500, detail=f"RAW file processing failed: {e}")
 
+    adapter_instance, adapter_model, root, rel = await resolve_adapter_and_rel(full_path)
+
+    redirect_response = await maybe_redirect_download(adapter_instance, adapter_model, root, rel)
+    if redirect_response is not None:
+        return redirect_response
+
     try:
         content = await read_file(full_path)
     except FileNotFoundError:
@@ -114,8 +121,8 @@ async def get_thumb(
     adapter, mount, root, rel = await resolve_adapter_and_rel(full_path)
     if not rel or rel.endswith('/'):
         raise HTTPException(400, detail="Not a file")
-    if not is_image_filename(rel):
-        raise HTTPException(404, detail="Not an image")
+    if not (is_image_filename(rel) or is_video_filename(rel)):
+        raise HTTPException(404, detail="Not an image or video")
     # type: ignore
     data, mime, key = await get_or_create_thumb(adapter, mount.id, root, rel, w, h, fit)
     headers = {

entrypoint.sh

@@ -2,4 +2,4 @@
 set -e
 python migrate/run.py
 nginx -g 'daemon off;' &
-exec gunicorn -k uvicorn.workers.UvicornWorker -w 2 -b 0.0.0.0:8000 main:app
+exec gunicorn -k uvicorn.workers.UvicornWorker -w 1 -b 0.0.0.0:8000 main:app

models/database.py

@@ -36,6 +36,81 @@ class Configuration(Model):
         table = "configurations"
 
 
+class AIProvider(Model):
+    id = fields.IntField(pk=True)
+    name = fields.CharField(max_length=100)
+    identifier = fields.CharField(max_length=100, unique=True)
+    provider_type = fields.CharField(max_length=50, null=True)
+    api_format = fields.CharField(max_length=20)
+    base_url = fields.CharField(max_length=512, null=True)
+    api_key = fields.CharField(max_length=512, null=True)
+    logo_url = fields.CharField(max_length=512, null=True)
+    extra_config = fields.JSONField(null=True)
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+
+    class Meta:
+        table = "ai_providers"
+
+
+class AIModel(Model):
+    id = fields.IntField(pk=True)
+    provider: fields.ForeignKeyRelation[AIProvider] = fields.ForeignKeyField(
+        "models.AIProvider", related_name="models", on_delete=fields.CASCADE
+    )
+    name = fields.CharField(max_length=255)
+    display_name = fields.CharField(max_length=255, null=True)
+    description = fields.TextField(null=True)
+    capabilities = fields.JSONField(null=True)
+    context_window = fields.IntField(null=True)
+    metadata = fields.JSONField(null=True)
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+
+    class Meta:
+        table = "ai_models"
+        unique_together = ("provider", "name")
+
+    @property
+    def embedding_dimensions(self) -> int | None:
+        metadata = self.metadata or {}
+        if not isinstance(metadata, dict):
+            return None
+        value = metadata.get("embedding_dimensions")
+        if value is None:
+            return None
+        try:
+            return int(value)
+        except (TypeError, ValueError):
+            return None
+
+    @embedding_dimensions.setter
+    def embedding_dimensions(self, value: int | None) -> None:
+        base_metadata = self.metadata if isinstance(self.metadata, dict) else {}
+        metadata = dict(base_metadata or {})
+        if value is None:
+            metadata.pop("embedding_dimensions", None)
+        else:
+            try:
+                metadata["embedding_dimensions"] = int(value)
+            except (TypeError, ValueError):
+                metadata.pop("embedding_dimensions", None)
+        self.metadata = metadata or None
+
+
+class AIDefaultModel(Model):
+    id = fields.IntField(pk=True)
+    ability = fields.CharField(max_length=50, unique=True)
+    model: fields.ForeignKeyRelation[AIModel] = fields.ForeignKeyField(
+        "models.AIModel", related_name="default_for", on_delete=fields.CASCADE
+    )
+    created_at = fields.DatetimeField(auto_now_add=True)
+    updated_at = fields.DatetimeField(auto_now=True)
+
+    class Meta:
+        table = "ai_default_models"
+
+
 class AutomationTask(Model):
     id = fields.IntField(pk=True)
     name = fields.CharField(max_length=100)

pyproject.toml

@@ -1,95 +1,25 @@
 [project]
 name = "foxel"
-version = "0.1.0"
-description = "Add your description here"
+version = "1"
+description = "foxel.cc"
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
-    "aioboto3==15.1.0",
-    "aiobotocore==2.24.0",
-    "aiofiles==24.1.0",
-    "aiohappyeyeballs==2.6.1",
-    "aiohttp==3.12.15",
-    "aioitertools==0.12.0",
-    "aiosignal==1.4.0",
-    "aiosqlite==0.21.0",
-    "annotated-types==0.7.0",
-    "anyio==4.10.0",
-    "asyncclick==8.2.2.2",
-    "attrs==25.3.0",
-    "bcrypt==4.3.0",
-    "boto3==1.39.11",
-    "botocore==1.39.11",
-    "certifi==2025.8.3",
-    "click==8.2.1",
-    "dictdiffer==0.9.0",
-    "dnspython==2.7.0",
-    "email-validator==2.2.0",
-    "fastapi==0.116.1",
-    "fastapi-cli==0.0.8",
-    "fastapi-cloud-cli==0.1.5",
-    "frozenlist==1.7.0",
-    "grpcio==1.74.0",
-    "h11==0.16.0",
-    "httpcore==1.0.9",
-    "httptools==0.6.4",
-    "httpx==0.28.1",
-    "idna==3.10",
-    "imageio==2.37.0",
-    "iso8601==2.1.0",
-    "jinja2==3.1.6",
-    "jmespath==1.0.1",
-    "markdown-it-py==4.0.0",
-    "markupsafe==3.0.2",
-    "mdurl==0.1.2",
-    "milvus-lite==2.5.1",
-    "multidict==6.6.4",
-    "numpy==2.3.2",
-    "pandas==2.3.1",
-    "passlib==1.7.4",
-    "pillow==11.3.0",
-    "propcache==0.3.2",
-    "protobuf==6.32.0",
-    "pyaes==1.6.1",
-    "pyasn1==0.6.1",
-    "pydantic==2.11.7",
-    "pydantic-core==2.33.2",
-    "pygments==2.19.2",
-    "pyjwt==2.10.1",
-    "pymilvus==2.6.0",
-    "pypika-tortoise==0.6.1",
-    "pysocks==1.7.1",
-    "python-dateutil==2.9.0.post0",
-    "python-dotenv==1.1.1",
-    "python-multipart==0.0.20",
-    "pytz==2025.2",
-    "pyyaml==6.0.2",
-    "qdrant-client==1.15.1",
-    "rawpy==0.25.1",
-    "rich==14.1.0",
-    "rich-toolkit==0.15.0",
-    "rignore==0.6.4",
-    "rsa==4.9.1",
-    "s3transfer==0.13.1",
-    "sentry-sdk==2.35.0",
-    "setuptools==80.9.0",
-    "shellingham==1.5.4",
-    "six==1.17.0",
-    "sniffio==1.3.1",
-    "starlette==0.47.2",
-    "telethon==1.40.0",
-    "tortoise-orm==0.25.1",
-    "tqdm==4.67.1",
-    "typer==0.16.0",
-    "typing-extensions==4.14.1",
-    "typing-inspection==0.4.1",
-    "tzdata==2025.2",
-    "ujson==5.10.0",
-    "urllib3==2.5.0",
-    "uvicorn==0.35.0",
-    "uvloop==0.21.0",
-    "watchfiles==1.1.0",
-    "websockets==15.0.1",
-    "wrapt==1.17.3",
-    "yarl==1.20.1",
+    "aioboto3>=15.2.0",
+    "aiofiles>=25.1.0",
+    "fastapi>=0.116.1",
+    "passlib[bcrypt]>=1.7.4",
+    "bcrypt>=3.2.2,<4.0",
+    "pillow>=11.3.0",
+    "pyjwt>=2.10.1",
+    "pysocks>=1.7.1",
+    "python-dotenv>=1.1.1",
+    "python-multipart>=0.0.20",
+    "qdrant-client>=1.15.1",
+    "rawpy>=0.25.1",
+    "telethon>=1.41.2",
+    "tortoise-orm>=0.25.1",
+    "uvicorn>=0.37.0",
+    "pymilvus[milvus-lite]>=2.6.2",
+    "paramiko>=4.0.0",
 ]

schemas/ai.py

@@ -0,0 +1,101 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field, field_validator
+
+from services.ai_providers import ABILITIES, normalize_capabilities
+
+
+class AIProviderBase(BaseModel):
+    name: str
+    identifier: str = Field(..., pattern=r"^[a-z0-9_\-\.]+$")
+    provider_type: Optional[str] = None
+    api_format: str
+    base_url: Optional[str] = None
+    api_key: Optional[str] = None
+    logo_url: Optional[str] = None
+    extra_config: Optional[dict] = None
+
+    @field_validator("api_format")
+    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'")
+        return fmt
+
+
+class AIProviderCreate(AIProviderBase):
+    pass
+
+
+class AIProviderUpdate(BaseModel):
+    name: Optional[str] = None
+    provider_type: Optional[str] = None
+    api_format: Optional[str] = None
+    base_url: Optional[str] = None
+    api_key: Optional[str] = None
+    logo_url: Optional[str] = None
+    extra_config: Optional[dict] = None
+
+    @field_validator("api_format")
+    def normalize_format(cls, value: Optional[str]) -> Optional[str]:
+        if value is None:
+            return value
+        fmt = value.lower()
+        if fmt not in {"openai", "gemini"}:
+            raise ValueError("api_format must be 'openai' or 'gemini'")
+        return fmt
+
+
+class AIModelBase(BaseModel):
+    name: str
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    capabilities: Optional[List[str]] = None
+    context_window: Optional[int] = None
+    embedding_dimensions: Optional[int] = None
+    metadata: Optional[dict] = None
+
+    @field_validator("capabilities")
+    def validate_capabilities(cls, items: Optional[List[str]]) -> Optional[List[str]]:
+        if items is None:
+            return None
+        normalized = normalize_capabilities(items)
+        invalid = set(items) - set(normalized)
+        if invalid:
+            raise ValueError(f"Unsupported capabilities: {', '.join(invalid)}")
+        return normalized
+
+
+class AIModelCreate(AIModelBase):
+    pass
+
+
+class AIModelUpdate(BaseModel):
+    display_name: Optional[str] = None
+    description: Optional[str] = None
+    capabilities: Optional[List[str]] = None
+    context_window: Optional[int] = None
+    embedding_dimensions: Optional[int] = None
+    metadata: Optional[dict] = None
+
+    @field_validator("capabilities")
+    def validate_capabilities(cls, items: Optional[List[str]]) -> Optional[List[str]]:
+        if items is None:
+            return None
+        normalized = normalize_capabilities(items)
+        invalid = set(items) - set(normalized)
+        if invalid:
+            raise ValueError(f"Unsupported capabilities: {', '.join(invalid)}")
+        return normalized
+
+
+class AIDefaultsUpdate(BaseModel):
+    chat: Optional[int] = None
+    vision: Optional[int] = None
+    embedding: Optional[int] = None
+    rerank: Optional[int] = None
+    voice: Optional[int] = None
+    tools: Optional[int] = None
+
+    def as_mapping(self) -> dict:
+        return {ability: getattr(self, ability) for ability in ABILITIES}

schemas/fs.py

@@ -8,7 +8,7 @@ class VfsEntry(BaseModel):
     size: int
     mtime: int
     type: Optional[str] = None
-    is_image: Optional[bool] = None
+    has_thumbnail: Optional[bool] = None
 
 
 class DirListing(BaseModel):
@@ -21,6 +21,13 @@ class SearchResultItem(BaseModel):
     id: int | str
     path: str
     score: float
+    chunk_id: Optional[str] = None
+    snippet: Optional[str] = None
+    mime: Optional[str] = None
+    source_type: Optional[str] = None
+    start_offset: Optional[int] = None
+    end_offset: Optional[int] = None
+    metadata: Optional[dict] = None
 
 
 class MkdirRequest(BaseModel):

services/adapters/ftp.py

@@ -0,0 +1,628 @@
+from __future__ import annotations
+
+import asyncio
+from dataclasses import dataclass
+from typing import List, Dict, Tuple, AsyncIterator, Optional
+
+from fastapi import HTTPException
+from fastapi.responses import StreamingResponse
+from ftplib import FTP, error_perm
+import mimetypes
+
+from models import StorageAdapter
+from services.logging import LogService
+
+
+def _join_remote(root: str, rel: str) -> str:
+    root = (root or "/").rstrip("/") or "/"
+    rel = (rel or "").lstrip("/")
+    if not rel:
+        return root
+    return f"{root}/{rel}"
+
+
+def _parse_mlst_line(line: str) -> Dict[str, str]:
+    out: Dict[str, str] = {}
+    try:
+        facts, _, name = line.partition(" ")
+        for part in facts.split(";"):
+            if not part or "=" not in part:
+                continue
+            k, v = part.split("=", 1)
+            out[k.strip().lower()] = v.strip()
+        if name:
+            out["name"] = name.strip()
+    except Exception:
+        pass
+    return out
+
+
+def _parse_modify_to_epoch(mod: str) -> int:
+    # Formats we may see: YYYYMMDDHHMMSS or YYYYMMDDHHMMSS(.sss)
+    try:
+        mod = mod.strip()
+        mod = mod.split(".")[0]
+        if len(mod) >= 14:
+            y = int(mod[0:4])
+            m = int(mod[4:6])
+            d = int(mod[6:8])
+            hh = int(mod[8:10])
+            mm = int(mod[10:12])
+            ss = int(mod[12:14])
+            import datetime as _dt
+            return int(_dt.datetime(y, m, d, hh, mm, ss, tzinfo=_dt.timezone.utc).timestamp())
+    except Exception:
+        return 0
+    return 0
+
+
+@dataclass
+class _Range:
+    start: int
+    end: Optional[int]  # inclusive
+
+
+class FTPAdapter:
+    def __init__(self, record: StorageAdapter):
+        self.record = record
+        cfg = record.config
+        self.host: str = cfg.get("host")
+        self.port: int = int(cfg.get("port", 21))
+        self.username: Optional[str] = cfg.get("username")
+        self.password: Optional[str] = cfg.get("password")
+        self.passive: bool = bool(cfg.get("passive", True))
+        self.timeout: int = int(cfg.get("timeout", 15))
+        self.root_path: str = cfg.get("root", "/") or "/"
+
+        if not self.host:
+            raise ValueError("FTP adapter requires 'host'")
+
+    def get_effective_root(self, sub_path: str | None) -> str:
+        base = self.root_path.rstrip("/") or "/"
+        if sub_path:
+            return _join_remote(base, sub_path)
+        return base
+
+    def _connect(self) -> FTP:
+        ftp = FTP()
+        ftp.connect(self.host, self.port, timeout=self.timeout)
+        if self.username:
+            ftp.login(self.username, self.password or "")
+        else:
+            ftp.login()
+        ftp.set_pasv(self.passive)
+        return ftp
+
+    async def list_dir(self, root: str, rel: str, page_num: int = 1, page_size: int = 50, sort_by: str = "name", sort_order: str = "asc") -> Tuple[List[Dict], int]:
+        path = _join_remote(root, rel.strip('/'))
+
+        def _do_list() -> List[Dict]:
+            ftp = self._connect()
+            try:
+                ftp.cwd(path)
+            except error_perm as e:
+                # path may be file
+                ftp.quit()
+                raise NotADirectoryError(rel) from e
+
+            entries: List[Dict] = []
+            # Try MLSD first
+            try:
+                for name, facts in ftp.mlsd():
+                    if name in (".", ".."):
+                        continue
+                    is_dir = (facts.get("type") == "dir")
+                    size = int(facts.get("size") or 0)
+                    mtime = _parse_modify_to_epoch(facts.get("modify") or "")
+                    entries.append({
+                        "name": name,
+                        "is_dir": is_dir,
+                        "size": 0 if is_dir else size,
+                        "mtime": mtime,
+                        "type": "dir" if is_dir else "file",
+                    })
+                ftp.quit()
+                return entries
+            except Exception:
+                # Fallback to NLST + probing
+                pass
+
+            names = []
+            try:
+                names = ftp.nlst()
+            except Exception:
+                ftp.quit()
+                return []
+
+            for name in names:
+                if name in (".", ".."):
+                    continue
+                is_dir = False
+                size = 0
+                mtime = 0
+                try:
+                    # If we can CWD, it's a directory
+                    ftp.cwd(_join_remote(path, name))
+                    ftp.cwd(path)
+                    is_dir = True
+                except Exception:
+                    is_dir = False
+                    try:
+                        size = ftp.size(_join_remote(path, name)) or 0
+                    except Exception:
+                        size = 0
+                try:
+                    mdtm = ftp.sendcmd("MDTM " + _join_remote(path, name))
+                    # Example: '213 20241012XXXXXX'
+                    if mdtm.startswith("213 "):
+                        mtime = _parse_modify_to_epoch(mdtm.split(" ", 1)[1])
+                except Exception:
+                    pass
+                entries.append({
+                    "name": name,
+                    "is_dir": is_dir,
+                    "size": 0 if is_dir else int(size or 0),
+                    "mtime": int(mtime or 0),
+                    "type": "dir" if is_dir else "file",
+                })
+            ftp.quit()
+            return entries
+
+        entries = await asyncio.to_thread(_do_list)
+
+        reverse = sort_order.lower() == "desc"
+
+        def get_sort_key(item):
+            key = (not item["is_dir"],)
+            f = sort_by.lower()
+            if f == "name":
+                key += (item["name"].lower(),)
+            elif f == "size":
+                key += (item.get("size", 0),)
+            elif f == "mtime":
+                key += (item.get("mtime", 0),)
+            else:
+                key += (item["name"].lower(),)
+            return key
+
+        entries.sort(key=get_sort_key, reverse=reverse)
+        total = len(entries)
+        start = (page_num - 1) * page_size
+        end = start + page_size
+        return entries[start:end], total
+
+    async def read_file(self, root: str, rel: str) -> bytes:
+        path = _join_remote(root, rel)
+
+        def _do_read() -> bytes:
+            ftp = self._connect()
+            try:
+                chunks: List[bytes] = []
+                ftp.retrbinary("RETR " + path, lambda b: chunks.append(b))
+                return b"".join(chunks)
+            except error_perm as e:
+                if str(e).startswith("550"):
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_read)
+
+    async def write_file(self, root: str, rel: str, data: bytes):
+        path = _join_remote(root, rel)
+
+        def _ensure_dirs(ftp: FTP, dir_path: str):
+            parts = [p for p in dir_path.strip("/").split("/") if p]
+            cur = "/"
+            for p in parts:
+                cur = _join_remote(cur, p)
+                try:
+                    ftp.mkd(cur)
+                except Exception:
+                    pass
+
+        def _do_write():
+            ftp = self._connect()
+            try:
+                parent = "/" if "/" not in path.strip("/") else path.rsplit("/", 1)[0]
+                _ensure_dirs(ftp, parent)
+                from io import BytesIO
+                bio = BytesIO(data)
+                ftp.storbinary("STOR " + path, bio)
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_write)
+        await LogService.info(
+            "adapter:ftp",
+            f"Wrote file to {rel}",
+            details={"adapter_id": self.record.id, "path": path, "size": len(data)},
+        )
+
+    async def write_file_stream(self, root: str, rel: str, data_iter: AsyncIterator[bytes]):
+        # KISS: 聚合后一次性写入
+        buf = bytearray()
+        async for chunk in data_iter:
+            if chunk:
+                buf.extend(chunk)
+        await self.write_file(root, rel, bytes(buf))
+        return len(buf)
+
+    async def mkdir(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_mkdir():
+            ftp = self._connect()
+            try:
+                parts = [p for p in path.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        ftp.mkd(cur)
+                    except Exception:
+                        pass
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_mkdir)
+        await LogService.info("adapter:ftp", f"Created directory {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def delete(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_delete():
+            ftp = self._connect()
+            try:
+                # Try file delete
+                try:
+                    ftp.delete(path)
+                    return
+                except Exception:
+                    pass
+
+                # Recursively delete dir
+                def _rm_tree(dir_path: str):
+                    try:
+                        ftp.cwd(dir_path)
+                    except Exception:
+                        return
+                    items = []
+                    try:
+                        for name, facts in ftp.mlsd():
+                            if name in (".", ".."):
+                                continue
+                            items.append((name, facts.get("type") == "dir"))
+                    except Exception:
+                        try:
+                            names = ftp.nlst()
+                        except Exception:
+                            names = []
+                        for n in names:
+                            if n in (".", ".."):
+                                continue
+                            # Best-effort dir check
+                            try:
+                                ftp.cwd(_join_remote(dir_path, n))
+                                ftp.cwd(dir_path)
+                                items.append((n, True))
+                            except Exception:
+                                items.append((n, False))
+                    for n, is_dir in items:
+                        child = _join_remote(dir_path, n)
+                        if is_dir:
+                            _rm_tree(child)
+                        else:
+                            try:
+                                ftp.delete(child)
+                            except Exception:
+                                pass
+                    try:
+                        ftp.rmd(dir_path)
+                    except Exception:
+                        pass
+
+                _rm_tree(path)
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_delete)
+        await LogService.info("adapter:ftp", f"Deleted {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def move(self, root: str, src_rel: str, dst_rel: str):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        def _do_move():
+            ftp = self._connect()
+            try:
+                # Ensure dst parent exists
+                parent = "/" if "/" not in dst.strip("/") else dst.rsplit("/", 1)[0]
+                parts = [p for p in parent.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        ftp.mkd(cur)
+                    except Exception:
+                        pass
+                ftp.rename(src, dst)
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_move)
+        await LogService.info("adapter:ftp", f"Moved {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def rename(self, root: str, src_rel: str, dst_rel: str):
+        await self.move(root, src_rel, dst_rel)
+
+    async def copy(self, root: str, src_rel: str, dst_rel: str, overwrite: bool = False):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        # naive implementation: download then upload; recursively for dirs
+        async def _is_dir(path: str) -> bool:
+            def _probe() -> bool:
+                ftp = self._connect()
+                try:
+                    try:
+                        ftp.cwd(path)
+                        return True
+                    except Exception:
+                        return False
+                finally:
+                    try:
+                        ftp.quit()
+                    except Exception:
+                        pass
+            return await asyncio.to_thread(_probe)
+
+        if await _is_dir(src):
+            # list children, create dst dir, copy recursively
+            await self.mkdir(root, dst_rel)
+
+            children, _ = await self.list_dir(root, src_rel, page_num=1, page_size=10_000)
+            for ent in children:
+                child_src = f"{src_rel.rstrip('/')}/{ent['name']}"
+                child_dst = f"{dst_rel.rstrip('/')}/{ent['name']}"
+                await self.copy(root, child_src, child_dst, overwrite)
+            await LogService.info(
+                "adapter:ftp", f"Copied directory {src_rel} to {dst_rel}",
+                details={"adapter_id": self.record.id, "src": src, "dst": dst}
+            )
+            return
+
+        # file
+        data = await self.read_file(root, src_rel)
+        if not overwrite:
+            # best-effort existence check
+            try:
+                await self.stat_file(root, dst_rel)
+                raise FileExistsError(dst_rel)
+            except FileNotFoundError:
+                pass
+        await self.write_file(root, dst_rel, data)
+        await LogService.info("adapter:ftp", f"Copied {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def stat_file(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_stat():
+            ftp = self._connect()
+            try:
+                # Try MLST
+                try:
+                    resp: List[str] = []
+                    ftp.retrlines("MLST " + path, resp.append)
+                    # The last line usually contains facts
+                    facts = {}
+                    if resp:
+                        facts = _parse_mlst_line(resp[-1])
+                    name = rel.split("/")[-1]
+                    t = facts.get("type") or "file"
+                    is_dir = t == "dir"
+                    size = int(facts.get("size") or 0)
+                    mtime = _parse_modify_to_epoch(facts.get("modify") or "")
+                    return {
+                        "name": name,
+                        "is_dir": is_dir,
+                        "size": 0 if is_dir else size,
+                        "mtime": mtime,
+                        "type": "dir" if is_dir else "file",
+                        "path": path,
+                    }
+                except Exception:
+                    pass
+
+                # Probe directory
+                try:
+                    ftp.cwd(path)
+                    return {
+                        "name": rel.split("/")[-1],
+                        "is_dir": True,
+                        "size": 0,
+                        "mtime": 0,
+                        "type": "dir",
+                        "path": path,
+                    }
+                except Exception:
+                    pass
+
+                # Treat as file
+                try:
+                    size = ftp.size(path) or 0
+                except Exception:
+                    size = 0
+                try:
+                    mdtm = ftp.sendcmd("MDTM " + path)
+                    mtime = _parse_modify_to_epoch(mdtm.split(" ", 1)[1]) if mdtm.startswith("213 ") else 0
+                except Exception:
+                    mtime = 0
+                return {
+                    "name": rel.split("/")[-1],
+                    "is_dir": False,
+                    "size": int(size or 0),
+                    "mtime": int(mtime or 0),
+                    "type": "file",
+                    "path": path,
+                }
+            except error_perm as e:
+                if str(e).startswith("550"):
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_stat)
+
+    async def stream_file(self, root: str, rel: str, range_header: str | None):
+        path = _join_remote(root, rel)
+        # Get size (best-effort)
+        def _get_size() -> Optional[int]:
+            ftp = self._connect()
+            try:
+                try:
+                    return int(ftp.size(path) or 0)
+                except Exception:
+                    return None
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        total_size = await asyncio.to_thread(_get_size)
+        mime, _ = mimetypes.guess_type(rel)
+        content_type = mime or "application/octet-stream"
+
+        rng: Optional[_Range] = None
+        status = 200
+        headers = {"Accept-Ranges": "bytes", "Content-Type": content_type}
+        if range_header and range_header.startswith("bytes=") and total_size is not None:
+            try:
+                s, e = (range_header.removeprefix("bytes=").split("-", 1))
+                start = int(s) if s.strip() else 0
+                end = int(e) if e.strip() else (total_size - 1)
+                if start >= total_size:
+                    raise HTTPException(416, detail="Requested Range Not Satisfiable")
+                if end >= total_size:
+                    end = total_size - 1
+                rng = _Range(start, end)
+                status = 206
+                headers["Content-Range"] = f"bytes {start}-{end}/{total_size}"
+                headers["Content-Length"] = str(end - start + 1)
+            except ValueError:
+                raise HTTPException(400, detail="Invalid Range header")
+        elif total_size is not None:
+            headers["Content-Length"] = str(total_size)
+
+        queue: asyncio.Queue[Optional[bytes]] = asyncio.Queue(maxsize=8)
+
+        class _Stop(Exception):
+            pass
+
+        def _worker():
+            ftp = self._connect()
+            remaining = None
+            if rng is not None:
+                remaining = (rng.end - rng.start + 1) if rng.end is not None else None
+
+            def _cb(chunk: bytes):
+                nonlocal remaining
+                if not chunk:
+                    return
+                try:
+                    if remaining is not None:
+                        if len(chunk) > remaining:
+                            part = chunk[:remaining]
+                            queue.put_nowait(part)
+                            remaining = 0
+                            raise _Stop()
+                        else:
+                            queue.put_nowait(chunk)
+                            remaining -= len(chunk)
+                            if remaining <= 0:
+                                raise _Stop()
+                    else:
+                        queue.put_nowait(chunk)
+                except _Stop:
+                    raise
+                except Exception:
+                    # queue full or event loop closed
+                    raise _Stop()
+
+            try:
+                if rng is not None:
+                    ftp.retrbinary("RETR " + path, _cb, rest=rng.start)
+                else:
+                    ftp.retrbinary("RETR " + path, _cb)
+                queue.put_nowait(None)
+            except _Stop:
+                try:
+                    queue.put_nowait(None)
+                except Exception:
+                    pass
+            except error_perm as e:
+                try:
+                    queue.put_nowait(None)
+                except Exception:
+                    pass
+                if str(e).startswith("550"):
+                    pass
+            finally:
+                try:
+                    ftp.quit()
+                except Exception:
+                    pass
+
+        async def agen():
+            worker_fut = asyncio.to_thread(_worker)
+            try:
+                while True:
+                    chunk = await queue.get()
+                    if chunk is None:
+                        break
+                    yield chunk
+            finally:
+                try:
+                    await worker_fut
+                except Exception:
+                    pass
+
+        return StreamingResponse(agen(), status_code=status, headers=headers, media_type=content_type)
+
+
+ADAPTER_TYPE = "ftp"
+
+CONFIG_SCHEMA = [
+    {"key": "host", "label": "主机", "type": "string", "required": True, "placeholder": "ftp.example.com"},
+    {"key": "port", "label": "端口", "type": "number", "required": False, "default": 21},
+    {"key": "username", "label": "用户名", "type": "string", "required": False},
+    {"key": "password", "label": "密码", "type": "password", "required": False},
+    {"key": "passive", "label": "被动模式", "type": "boolean", "required": False, "default": True},
+    {"key": "timeout", "label": "超时(秒)", "type": "number", "required": False, "default": 15},
+    {"key": "root", "label": "根路径", "type": "string", "required": False, "default": "/"},
+]
+
+
+def ADAPTER_FACTORY(rec: StorageAdapter):
+    return FTPAdapter(rec)

services/adapters/onedrive.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 from datetime import datetime, timezone, timedelta
 from typing import List, Dict, Tuple, AsyncIterator
 import httpx
-from fastapi.responses import StreamingResponse
+from fastapi.responses import StreamingResponse, Response
 from fastapi import HTTPException
 from models import StorageAdapter
 
@@ -20,6 +20,7 @@ class OneDriveAdapter:
         self.client_secret = cfg.get("client_secret")
         self.refresh_token = cfg.get("refresh_token")
         self.root = cfg.get("root", "/").strip("/")
+        self.enable_redirect_307 = bool(cfg.get("enable_direct_download_307"))
 
         if not all([self.client_id, self.client_secret, self.refresh_token]):
             raise ValueError(
@@ -380,6 +381,26 @@ class OneDriveAdapter:
 
         return StreamingResponse(file_iterator(), status_code=status, headers=headers, media_type=content_type)
 
+    async def get_direct_download_response(self, root: str, rel: str):
+        if not self.enable_redirect_307:
+            return None
+
+        api_path = self._get_api_path(rel)
+        if not api_path:
+            raise IsADirectoryError("不能对目录进行直链重定向")
+
+        resp = await self._request("GET", api_path_segment=api_path)
+        if resp.status_code == 404:
+            raise FileNotFoundError(rel)
+        resp.raise_for_status()
+
+        item_data = resp.json()
+        download_url = item_data.get("@microsoft.graph.downloadUrl")
+        if not download_url:
+            return None
+
+        return Response(status_code=307, headers={"Location": download_url})
+
     async def get_thumbnail(self, root: str, rel: str, size: str = "medium"):
         """
         获取文件的缩略图。
@@ -434,6 +455,7 @@ CONFIG_SCHEMA = [
         "required": True, "help_text": "可以通过运行 'python -m services.adapters.onedrive' 获取"},
     {"key": "root", "label": "根目录 (Root Path)", "type": "string",
      "required": False, "placeholder": "默认为根目录 /"},
+    {"key": "enable_direct_download_307", "label": "Enable 307 redirect download", "type": "boolean", "default": False},
 ]
 
 

services/adapters/quark.py

@@ -34,8 +34,15 @@ class QuarkAdapter:
         cfg = record.config or {}
         self.cookie: str = cfg.get("cookie") or cfg.get("Cookie")
         self.root_fid: str = cfg.get("root_fid", "0")
-        self.use_transcoding_address: bool = bool(cfg.get("use_transcoding_address", False))
-        self.only_list_video_file: bool = bool(cfg.get("only_list_video_file", False))
+        def _as_bool(value: Any) -> bool:
+            if isinstance(value, bool):
+                return value
+            if isinstance(value, str):
+                return value.strip().lower() in {"1", "true", "yes", "on"}
+            return bool(value)
+
+        self.use_transcoding_address: bool = _as_bool(cfg.get("use_transcoding_address", False))
+        self.only_list_video_file: bool = _as_bool(cfg.get("only_list_video_file", False))
 
         if not self.cookie:
             raise ValueError("Quark 适配器需要 cookie 配置")
@@ -716,8 +723,8 @@ ADAPTER_TYPE = "Quark"
 CONFIG_SCHEMA = [
     {"key": "cookie", "label": "Cookie", "type": "password", "required": True, "placeholder": "从 pan.quark.cn 复制"},
     {"key": "root_fid", "label": "根 FID", "type": "string", "required": False, "default": "0"},
-    {"key": "use_transcoding_address", "label": "视频转码直链", "type": "checkbox", "required": False, "default": False},
-    {"key": "only_list_video_file", "label": "仅列出视频文件", "type": "checkbox", "required": False, "default": False},
+    {"key": "use_transcoding_address", "label": "视频转码直链", "type": "boolean", "required": False, "default": False},
+    {"key": "only_list_video_file", "label": "仅列出视频文件", "type": "boolean", "required": False, "default": False},
 ]
 
 def ADAPTER_FACTORY(rec: StorageAdapter) -> BaseAdapter:

services/adapters/sftp.py

@@ -0,0 +1,447 @@
+from __future__ import annotations
+
+import asyncio
+import mimetypes
+import stat as statmod
+from typing import List, Dict, Tuple, AsyncIterator, Optional
+
+from fastapi import HTTPException
+from fastapi.responses import StreamingResponse
+import paramiko
+
+from models import StorageAdapter
+from services.logging import LogService
+
+
+def _join_remote(root: str, rel: str) -> str:
+    root = (root or "/").rstrip("/") or "/"
+    rel = (rel or "").lstrip("/")
+    if not rel:
+        return root
+    return f"{root}/{rel}"
+
+
+class SFTPAdapter:
+    def __init__(self, record: StorageAdapter):
+        self.record = record
+        cfg = record.config
+        self.host: str = cfg.get("host")
+        self.port: int = int(cfg.get("port", 22))
+        self.username: str | None = cfg.get("username")
+        self.password: str | None = cfg.get("password")
+        self.timeout: int = int(cfg.get("timeout", 15))
+        self.root_path: str = cfg.get("root")  # 必填
+        self.allow_unknown_host: bool = bool(cfg.get("allow_unknown_host", True))
+
+        if not self.host:
+            raise ValueError("SFTP adapter requires 'host'")
+        if not self.username or not self.password:
+            raise ValueError("SFTP adapter requires 'username' and 'password'")
+        if not self.root_path:
+            raise ValueError("SFTP adapter requires 'root'")
+
+    def get_effective_root(self, sub_path: str | None) -> str:
+        base = self.root_path.rstrip("/") or "/"
+        if sub_path:
+            return _join_remote(base, sub_path)
+        return base
+
+    def _connect(self) -> paramiko.SFTPClient:
+        ssh = paramiko.SSHClient()
+        if self.allow_unknown_host:
+            ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
+        ssh.connect(
+            hostname=self.host,
+            port=self.port,
+            username=self.username,
+            password=self.password,
+            timeout=self.timeout,
+            allow_agent=False,
+            look_for_keys=False,
+        )
+        return ssh.open_sftp()
+
+    async def list_dir(self, root: str, rel: str, page_num: int = 1, page_size: int = 50, sort_by: str = "name", sort_order: str = "asc") -> Tuple[List[Dict], int]:
+        path = _join_remote(root, rel)
+
+        def _do_list() -> List[Dict]:
+            sftp = self._connect()
+            try:
+                attrs = sftp.listdir_attr(path)
+                entries: List[Dict] = []
+                for a in attrs:
+                    name = a.filename
+                    is_dir = statmod.S_ISDIR(a.st_mode)
+                    entries.append({
+                        "name": name,
+                        "is_dir": is_dir,
+                        "size": 0 if is_dir else int(a.st_size or 0),
+                        "mtime": int(a.st_mtime or 0),
+                        "type": "dir" if is_dir else "file",
+                    })
+                return entries
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        entries = await asyncio.to_thread(_do_list)
+
+        reverse = sort_order.lower() == "desc"
+
+        def get_sort_key(item):
+            key = (not item["is_dir"],)
+            f = sort_by.lower()
+            if f == "name":
+                key += (item["name"].lower(),)
+            elif f == "size":
+                key += (item.get("size", 0),)
+            elif f == "mtime":
+                key += (item.get("mtime", 0),)
+            else:
+                key += (item["name"].lower(),)
+            return key
+
+        entries.sort(key=get_sort_key, reverse=reverse)
+        total = len(entries)
+        start = (page_num - 1) * page_size
+        end = start + page_size
+        return entries[start:end], total
+
+    async def read_file(self, root: str, rel: str) -> bytes:
+        path = _join_remote(root, rel)
+
+        def _do_read() -> bytes:
+            sftp = self._connect()
+            try:
+                with sftp.open(path, "rb") as f:
+                    return f.read()
+            except FileNotFoundError:
+                raise
+            except IOError as e:
+                if getattr(e, "errno", None) == 2:
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_read)
+
+    async def write_file(self, root: str, rel: str, data: bytes):
+        path = _join_remote(root, rel)
+
+        def _ensure_dirs(sftp: paramiko.SFTPClient, dir_path: str):
+            parts = [p for p in dir_path.strip("/").split("/") if p]
+            cur = "/"
+            for p in parts:
+                cur = _join_remote(cur, p)
+                try:
+                    sftp.mkdir(cur)
+                except IOError:
+                    # likely exists
+                    pass
+
+        def _do_write():
+            sftp = self._connect()
+            try:
+                parent = "/" if "/" not in path.strip("/") else path.rsplit("/", 1)[0]
+                _ensure_dirs(sftp, parent)
+                with sftp.open(path, "wb") as f:
+                    f.write(data)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_write)
+        await LogService.info("adapter:sftp", f"Wrote file to {rel}", details={"adapter_id": self.record.id, "path": path, "size": len(data)})
+
+    async def write_file_stream(self, root: str, rel: str, data_iter: AsyncIterator[bytes]):
+        buf = bytearray()
+        async for chunk in data_iter:
+            if chunk:
+                buf.extend(chunk)
+        await self.write_file(root, rel, bytes(buf))
+        return len(buf)
+
+    async def mkdir(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_mkdir():
+            sftp = self._connect()
+            try:
+                parts = [p for p in path.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        sftp.mkdir(cur)
+                    except IOError:
+                        pass
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_mkdir)
+        await LogService.info("adapter:sftp", f"Created directory {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def delete(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_delete():
+            sftp = self._connect()
+            try:
+                # Try file remove first
+                try:
+                    sftp.remove(path)
+                    return
+                except IOError:
+                    pass
+
+                def _rm_tree(dp: str):
+                    try:
+                        for a in sftp.listdir_attr(dp):
+                            child = _join_remote(dp, a.filename)
+                            if statmod.S_ISDIR(a.st_mode):
+                                _rm_tree(child)
+                            else:
+                                try:
+                                    sftp.remove(child)
+                                except Exception:
+                                    pass
+                        sftp.rmdir(dp)
+                    except IOError:
+                        pass
+
+                _rm_tree(path)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_delete)
+        await LogService.info("adapter:sftp", f"Deleted {rel}", details={"adapter_id": self.record.id, "path": path})
+
+    async def move(self, root: str, src_rel: str, dst_rel: str):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        def _do_move():
+            sftp = self._connect()
+            try:
+                # ensure dst parent exists
+                parent = "/" if "/" not in dst.strip("/") else dst.rsplit("/", 1)[0]
+                parts = [p for p in parent.strip("/").split("/") if p]
+                cur = "/"
+                for p in parts:
+                    cur = _join_remote(cur, p)
+                    try:
+                        sftp.mkdir(cur)
+                    except IOError:
+                        pass
+                sftp.rename(src, dst)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        await asyncio.to_thread(_do_move)
+        await LogService.info("adapter:sftp", f"Moved {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def rename(self, root: str, src_rel: str, dst_rel: str):
+        await self.move(root, src_rel, dst_rel)
+
+    async def copy(self, root: str, src_rel: str, dst_rel: str, overwrite: bool = False):
+        src = _join_remote(root, src_rel)
+        dst = _join_remote(root, dst_rel)
+
+        def _is_dir() -> bool:
+            sftp = self._connect()
+            try:
+                st = sftp.stat(src)
+                return statmod.S_ISDIR(st.st_mode)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        if await asyncio.to_thread(_is_dir):
+            await self.mkdir(root, dst_rel)
+
+            children, _ = await self.list_dir(root, src_rel, page_num=1, page_size=10_000)
+            for ent in children:
+                child_src = f"{src_rel.rstrip('/')}/{ent['name']}"
+                child_dst = f"{dst_rel.rstrip('/')}/{ent['name']}"
+                await self.copy(root, child_src, child_dst, overwrite)
+            await LogService.info("adapter:sftp", f"Copied directory {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+            return
+
+        # file copy
+        data = await self.read_file(root, src_rel)
+        if not overwrite:
+            try:
+                await self.stat_file(root, dst_rel)
+                raise FileExistsError(dst_rel)
+            except FileNotFoundError:
+                pass
+        await self.write_file(root, dst_rel, data)
+        await LogService.info("adapter:sftp", f"Copied {src_rel} to {dst_rel}", details={"adapter_id": self.record.id, "src": src, "dst": dst})
+
+    async def stat_file(self, root: str, rel: str):
+        path = _join_remote(root, rel)
+
+        def _do_stat():
+            sftp = self._connect()
+            try:
+                st = sftp.stat(path)
+                is_dir = statmod.S_ISDIR(st.st_mode)
+                info = {
+                    "name": rel.split("/")[-1],
+                    "is_dir": is_dir,
+                    "size": 0 if is_dir else int(st.st_size or 0),
+                    "mtime": int(st.st_mtime or 0),
+                    "type": "dir" if is_dir else "file",
+                    "path": path,
+                }
+                return info
+            except FileNotFoundError:
+                raise
+            except IOError as e:
+                if getattr(e, "errno", None) == 2:
+                    raise FileNotFoundError(rel)
+                raise
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        return await asyncio.to_thread(_do_stat)
+
+    async def exists(self, root: str, rel: str) -> bool:
+        try:
+            await self.stat_file(root, rel)
+            return True
+        except FileNotFoundError:
+            return False
+        except Exception:
+            return False
+
+    async def stream_file(self, root: str, rel: str, range_header: str | None):
+        path = _join_remote(root, rel)
+
+        def _get_stat():
+            sftp = self._connect()
+            try:
+                st = sftp.stat(path)
+                return int(st.st_size or 0)
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        file_size = await asyncio.to_thread(_get_stat)
+        if file_size is None:
+            raise HTTPException(404, detail="File not found")
+
+        mime, _ = mimetypes.guess_type(rel)
+        content_type = mime or "application/octet-stream"
+
+        start = 0
+        end = file_size - 1
+        status = 200
+        headers = {
+            "Accept-Ranges": "bytes",
+            "Content-Type": content_type,
+            "Content-Length": str(file_size),
+        }
+
+        if range_header and range_header.startswith("bytes="):
+            try:
+                s, e = (range_header.removeprefix("bytes=").split("-", 1))
+                if s.strip():
+                    start = int(s)
+                if e.strip():
+                    end = int(e)
+                if start >= file_size:
+                    raise HTTPException(416, detail="Requested Range Not Satisfiable")
+                if end >= file_size:
+                    end = file_size - 1
+                status = 206
+                headers["Content-Length"] = str(end - start + 1)
+                headers["Content-Range"] = f"bytes {start}-{end}/{file_size}"
+            except ValueError:
+                raise HTTPException(400, detail="Invalid Range header")
+
+        queue: asyncio.Queue[Optional[bytes]] = asyncio.Queue(maxsize=8)
+
+        def _worker():
+            sftp = self._connect()
+            try:
+                with sftp.open(path, "rb") as f:
+                    f.seek(start)
+                    remaining = end - start + 1
+                    chunk_size = 64 * 1024
+                    while remaining > 0:
+                        to_read = chunk_size if remaining > chunk_size else remaining
+                        data = f.read(to_read)
+                        if not data:
+                            break
+                        try:
+                            queue.put_nowait(data)
+                        except Exception:
+                            break
+                        remaining -= len(data)
+                try:
+                    queue.put_nowait(None)
+                except Exception:
+                    pass
+            finally:
+                try:
+                    sftp.close()
+                except Exception:
+                    pass
+
+        async def agen():
+            worker_fut = asyncio.to_thread(_worker)
+            try:
+                while True:
+                    chunk = await queue.get()
+                    if chunk is None:
+                        break
+                    yield chunk
+            finally:
+                try:
+                    await worker_fut
+                except Exception:
+                    pass
+
+        return StreamingResponse(agen(), status_code=status, headers=headers, media_type=content_type)
+
+
+ADAPTER_TYPE = "sftp"
+
+CONFIG_SCHEMA = [
+    {"key": "host", "label": "主机", "type": "string", "required": True, "placeholder": "sftp.example.com"},
+    {"key": "port", "label": "端口", "type": "number", "required": False, "default": 22},
+    {"key": "username", "label": "用户名", "type": "string", "required": True},
+    {"key": "password", "label": "密码", "type": "password", "required": True},
+    {"key": "root", "label": "根路径", "type": "string", "required": True, "placeholder": "/data"},
+    {"key": "timeout", "label": "超时(秒)", "type": "number", "required": False, "default": 15},
+    {"key": "allow_unknown_host", "label": "允许未知主机指纹", "type": "boolean", "required": False, "default": True},
+]
+
+
+def ADAPTER_FACTORY(rec: StorageAdapter):
+    return SFTPAdapter(rec)

services/adapters/telegram.py

@@ -74,33 +74,32 @@ class TelegramAdapter:
             for message in messages:
                 if not message:
                     continue
-                
+
                 media = message.document or message.video or message.photo
                 if not media:
                     continue
 
-                filename = None
-                size = 0
-                
-                if message.photo:
-                    photo_size = message.photo.sizes[-1]
-                    size = photo_size.size if hasattr(photo_size, 'size') else 0
-                    filename = f"photo_{message.id}.jpg"
+                file_meta = message.file
+                if not file_meta:
+                    continue
 
-                elif message.document or message.video:
-                    size = media.size
-                    if hasattr(media, 'attributes'):
-                        for attr in media.attributes:
-                            if hasattr(attr, 'file_name') and attr.file_name:
-                                filename = attr.file_name
-                                break
-                
+                filename = file_meta.name
                 if not filename:
                     if message.text and '.' in message.text and len(message.text) < 256 and '\n' not in message.text:
                         filename = message.text
-                
-                if not filename:
-                    filename = f"unknown_{message.id}"
+                    else:
+                        filename = f"unknown_{message.id}"
+
+                size = file_meta.size
+                if size is None:
+                    # 兼容缺失 size 的情况
+                    if hasattr(media, "size") and media.size is not None:
+                        size = media.size
+                    elif message.photo and getattr(message.photo, "sizes", None):
+                        photo_size = message.photo.sizes[-1]
+                        size = getattr(photo_size, "size", 0) or 0
+                    else:
+                        size = 0
 
                 entries.append({
                     "name": f"{message.id}_{filename}",
@@ -246,13 +245,27 @@ class TelegramAdapter:
             if not message or not media:
                 raise FileNotFoundError(f"在频道 {self.chat_id} 中未找到消息ID为 {message_id} 的文件")
 
-            if message.photo:
-                photo_size = media.sizes[-1]
-                file_size = photo_size.size if hasattr(photo_size, 'size') else 0
-                mime_type = "image/jpeg"
-            else:
-                file_size = media.size
-                mime_type = media.mime_type or "application/octet-stream"
+            file_meta = message.file
+            file_size = file_meta.size if file_meta and file_meta.size is not None else None
+            if file_size is None:
+                if hasattr(media, "size") and media.size is not None:
+                    file_size = media.size
+                elif message.photo and getattr(message.photo, "sizes", None):
+                    photo_size = message.photo.sizes[-1]
+                    file_size = getattr(photo_size, "size", 0) or 0
+                else:
+                    file_size = 0
+
+            mime_type = None
+            if file_meta and getattr(file_meta, "mime_type", None):
+                mime_type = file_meta.mime_type
+            if not mime_type:
+                if hasattr(media, "mime_type") and media.mime_type:
+                    mime_type = media.mime_type
+                elif message.photo:
+                    mime_type = "image/jpeg"
+                else:
+                    mime_type = "application/octet-stream"
 
             start = 0
             end = file_size - 1
@@ -321,11 +334,16 @@ class TelegramAdapter:
             if not message or not media:
                 raise FileNotFoundError(f"在频道 {self.chat_id} 中未找到消息ID为 {message_id} 的文件")
 
-            if message.photo:
-                photo_size = media.sizes[-1]
-                size = photo_size.size if hasattr(photo_size, 'size') else 0
-            else:
-                size = media.size
+            file_meta = message.file
+            size = file_meta.size if file_meta and file_meta.size is not None else None
+            if size is None:
+                if hasattr(media, "size") and media.size is not None:
+                    size = media.size
+                elif message.photo and getattr(message.photo, "sizes", None):
+                    photo_size = message.photo.sizes[-1]
+                    size = getattr(photo_size, "size", 0) or 0
+                else:
+                    size = 0
 
             return {
                 "name": rel,
@@ -339,4 +357,4 @@ class TelegramAdapter:
                 await client.disconnect()
 
 def ADAPTER_FACTORY(rec: StorageAdapter) -> TelegramAdapter:
-    return TelegramAdapter(rec)
+    return TelegramAdapter(rec)

services/ai.py

@@ -1,70 +1,247 @@
+from __future__ import annotations
+
 import httpx
-from typing import List
-from services.config import ConfigCenter
+from typing import List, Sequence, Tuple
+
+from models.database import AIModel, AIProvider
+from services.ai_providers import AIProviderService
+
+
+provider_service = AIProviderService()
+
+
+class MissingModelError(RuntimeError):
+    pass
 
 
 async def describe_image_base64(base64_image: str, detail: str = "high") -> str:
     """
-    传入base64图片和文本提示，返回图片描述文本。
+    传入 base64 图片并返回描述文本。缺省时返回错误提示。
     """
-    OAI_API_URL = await ConfigCenter.get("AI_VISION_API_URL")
-    VISION_MODEL = await ConfigCenter.get("AI_VISION_MODEL")
-    API_KEY = await ConfigCenter.get("AI_VISION_API_KEY")
-    payload = {
-        "model": VISION_MODEL,
-        "messages": [
-            {"role": "user", "content": [
-                {
-                    "type": "image_url",
-                    "image_url": {
-                        "url": f"data:image/jpeg;base64,{base64_image}",
-                        "detail": detail
-                    }
-                },
-                {
-                    "type": "text",
-                    "text": "描述这个图片"
-                }
-            ]}
-        ]
-    }
-    headers = {
-        "Authorization": f"Bearer {API_KEY}",
-        "Content-Type": "application/json"
-    }
     try:
-        async with httpx.AsyncClient(timeout=60.0) as client:
-            resp = await client.post(OAI_API_URL, headers=headers, json=payload)
-            resp.raise_for_status()
-            result = resp.json()
-            return result["choices"][0]["message"]["content"]
+        model, provider = await _require_model("vision")
+        if provider.api_format == "openai":
+            return await _describe_with_openai(provider, model, base64_image, detail)
+        return await _describe_with_gemini(provider, model, base64_image, detail)
+    except MissingModelError as exc:
+        return str(exc)
     except httpx.ReadTimeout:
         return "请求超时，请稍后重试。"
-    except Exception as e:
-        return f"请求失败: {str(e)}"
+    except Exception as exc:  # noqa: BLE001
+        return f"请求失败: {exc}"
 
 
 async def get_text_embedding(text: str) -> List[float]:
     """
-    传入文本，返回嵌入向量。
+    传入文本，返回嵌入向量。若未配置模型则抛出异常。
     """
-    OAI_API_URL = await ConfigCenter.get("AI_EMBED_API_URL")
-    EMBED_MODEL = await ConfigCenter.get("AI_EMBED_MODEL")
-    API_KEY = await ConfigCenter.get("AI_EMBED_API_KEY")
+    model, provider = await _require_model("embedding")
+    if provider.api_format == "openai":
+        return await _embedding_with_openai(provider, model, text)
+    return await _embedding_with_gemini(provider, model, text)
+
+
+async def rerank_texts(query: str, documents: Sequence[str]) -> List[float]:
+    """调用重排序模型，为一组文档返回得分。未配置时返回空列表。"""
+    if not documents:
+        return []
+    try:
+        model, provider = await _require_model("rerank")
+    except MissingModelError:
+        return []
+
+    try:
+        if provider.api_format == "openai":
+            return await _rerank_with_openai(provider, model, query, documents)
+        return await _rerank_with_gemini(provider, model, query, documents)
+    except Exception:  # noqa: BLE001
+        return []
+
+
+async def _require_model(ability: str) -> Tuple[AIModel, AIProvider]:
+    model = await provider_service.get_default_model(ability)
+    if not model:
+        raise MissingModelError(f"未配置默认 {ability} 模型，请前往系统设置完成配置。")
+    provider = getattr(model, "provider", None)
+    if provider is None:
+        await model.fetch_related("provider")
+        provider = model.provider
+    if provider is None:
+        raise MissingModelError("模型缺少关联的提供商配置。")
+    if not provider.base_url:
+        raise MissingModelError("该提供商未设置 API 地址。")
+    return model, provider
+
+
+def _openai_endpoint(provider: AIProvider, path: str) -> str:
+    base = (provider.base_url or "").rstrip("/")
+    if not base:
+        raise MissingModelError("提供商 API 地址未配置。")
+    return f"{base}/{path.lstrip('/')}"
+
+
+def _openai_headers(provider: AIProvider) -> dict:
+    headers = {"Content-Type": "application/json"}
+    if provider.api_key:
+        headers["Authorization"] = f"Bearer {provider.api_key}"
+    return headers
+
+
+def _gemini_endpoint(provider: AIProvider, path: str) -> str:
+    base = (provider.base_url or "").rstrip("/")
+    if not base:
+        raise MissingModelError("提供商 API 地址未配置。")
+    url = f"{base}/{path.lstrip('/')}"
+    if provider.api_key:
+        connector = "&" if "?" in url else "?"
+        url = f"{url}{connector}key={provider.api_key}"
+    return url
+
+
+async def _describe_with_openai(provider: AIProvider, model: AIModel, base64_image: str, detail: str) -> str:
+    url = _openai_endpoint(provider, "/chat/completions")
     payload = {
-        "model": EMBED_MODEL,
-        "input": text
+        "model": model.name,
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": f"data:image/jpeg;base64,{base64_image}",
+                            "detail": detail,
+                        },
+                    },
+                    {"type": "text", "text": "描述这个图片"},
+                ],
+            }
+        ],
     }
-    headers = {
-        "Authorization": f"Bearer {API_KEY}",
-        "Content-Type": "application/json"
+    async with httpx.AsyncClient(timeout=60.0) as client:
+        response = await client.post(url, headers=_openai_headers(provider), json=payload)
+        response.raise_for_status()
+        body = response.json()
+        return body["choices"][0]["message"]["content"]
+
+
+async def _describe_with_gemini(provider: AIProvider, model: AIModel, base64_image: str, detail: str) -> str:
+    detail_text = f"描述这个图片，细节等级：{detail}"
+    model_name = model.name if model.name.startswith("models/") else f"models/{model.name}"
+    url = _gemini_endpoint(provider, f"{model_name}:generateContent")
+    payload = {
+        "contents": [
+            {
+                "role": "user",
+                "parts": [
+                    {
+                        "inline_data": {
+                            "mime_type": "image/jpeg",
+                            "data": base64_image,
+                        }
+                    },
+                    {"text": detail_text},
+                ],
+            }
+        ]
     }
-    async with httpx.AsyncClient() as client:
-        if OAI_API_URL.endswith("chat/completions"):
-            url = OAI_API_URL.replace("chat/completions", "embeddings")
-        else:
-            url = OAI_API_URL
-        resp = await client.post(url, headers=headers, json=payload)
-        resp.raise_for_status()
-        result = resp.json()
-        return result["data"][0]["embedding"]
+    async with httpx.AsyncClient(timeout=60.0) as client:
+        response = await client.post(url, json=payload)
+        response.raise_for_status()
+        body = response.json()
+        candidates = body.get("candidates") or []
+        if not candidates:
+            return ""
+        parts = candidates[0].get("content", {}).get("parts", [])
+        text_parts = [part.get("text") for part in parts if isinstance(part, dict) and part.get("text")]
+        return "\n".join(text_parts)
+
+
+async def _embedding_with_openai(provider: AIProvider, model: AIModel, text: str) -> List[float]:
+    url = _openai_endpoint(provider, "/embeddings")
+    payload = {
+        "model": model.name,
+        "input": text,
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, headers=_openai_headers(provider), json=payload)
+        response.raise_for_status()
+        body = response.json()
+        return body["data"][0]["embedding"]
+
+
+async def _embedding_with_gemini(provider: AIProvider, model: AIModel, text: str) -> List[float]:
+    model_name = model.name if model.name.startswith("models/") else f"models/{model.name}"
+    url = _gemini_endpoint(provider, f"{model_name}:embedContent")
+    payload = {
+        "model": model_name,
+        "content": {
+            "parts": [{"text": text}],
+        },
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, json=payload)
+        response.raise_for_status()
+        body = response.json()
+        embedding = body.get("embedding") or {}
+        return embedding.get("values") or []
+
+
+async def _rerank_with_openai(
+    provider: AIProvider,
+    model: AIModel,
+    query: str,
+    documents: Sequence[str],
+) -> List[float]:
+    url = _openai_endpoint(provider, "/rerank")
+    payload = {
+        "model": model.name,
+        "query": query,
+        "documents": [
+            {"id": str(idx), "text": content}
+            for idx, content in enumerate(documents)
+        ],
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, headers=_openai_headers(provider), json=payload)
+        response.raise_for_status()
+        body = response.json()
+        results = body.get("results") or body.get("data") or []
+        scores: List[float] = []
+        for item in results:
+            try:
+                scores.append(float(item.get("score", 0.0)))
+            except (TypeError, ValueError):
+                scores.append(0.0)
+        return scores
+
+
+async def _rerank_with_gemini(
+    provider: AIProvider,
+    model: AIModel,
+    query: str,
+    documents: Sequence[str],
+) -> List[float]:
+    model_name = model.name if model.name.startswith("models/") else f"models/{model.name}"
+    url = _gemini_endpoint(provider, f"{model_name}:rankContent")
+    payload = {
+        "query": {"text": query},
+        "documents": [
+            {"id": str(idx), "content": {"parts": [{"text": content}]}}
+            for idx, content in enumerate(documents)
+        ],
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        response = await client.post(url, json=payload)
+        response.raise_for_status()
+        body = response.json()
+
+    scores: List[float] = []
+    ranked = body.get("rankedDocuments") or body.get("results") or []
+    for item in ranked:
+        raw_score = item.get("relevanceScore") or item.get("score") or item.get("confidenceScore")
+        try:
+            scores.append(float(raw_score))
+        except (TypeError, ValueError):
+            scores.append(0.0)
+    return scores

services/ai_providers.py

@@ -0,0 +1,347 @@
+from __future__ import annotations
+
+from collections.abc import Iterable
+from typing import Any, Dict, List, Optional, Tuple
+
+import httpx
+from tortoise.exceptions import DoesNotExist
+from tortoise.transactions import in_transaction
+
+from models.database import AIDefaultModel, AIModel, AIProvider
+
+
+ABILITIES = ["chat", "vision", "embedding", "rerank", "voice", "tools"]
+
+OPENAI_EMBEDDING_DIMS = {
+    "text-embedding-3-large": 3072,
+    "text-embedding-3-small": 1536,
+    "text-embedding-ada-002": 1536,
+}
+
+
+def _normalize_embedding_dim(value: Any) -> Optional[int]:
+    if value is None:
+        return None
+    try:
+        casted = int(value)
+    except (TypeError, ValueError):
+        return None
+    return casted if casted > 0 else None
+
+
+def _apply_embedding_dim_to_metadata(
+    data: Dict[str, Any],
+    embedding_dim: Optional[int],
+    base_metadata: Optional[Dict[str, Any]] = None,
+) -> Dict[str, Any]:
+    source = base_metadata if isinstance(base_metadata, dict) else {}
+    metadata: Dict[str, Any] = dict(source)
+    override = data.get("metadata")
+    if isinstance(override, dict) and override:
+        metadata.update(override)
+    if embedding_dim is None:
+        metadata.pop("embedding_dimensions", None)
+    else:
+        metadata["embedding_dimensions"] = embedding_dim
+    data["metadata"] = metadata or None
+    return data
+
+
+def normalize_capabilities(items: Optional[Iterable[str]]) -> List[str]:
+    if not items:
+        return []
+    normalized = []
+    for cap in items:
+        key = str(cap).strip().lower()
+        if key in ABILITIES and key not in normalized:
+            normalized.append(key)
+    return normalized
+
+
+def infer_openai_capabilities(model_id: str) -> Tuple[List[str], Optional[int]]:
+    lower = model_id.lower()
+    caps = set()
+
+    if any(keyword in lower for keyword in ["gpt", "chat", "turbo", "o1", "sonnet", "haiku", "thinking"]):
+        caps.update({"chat", "tools"})
+
+    if any(keyword in lower for keyword in ["vision", "gpt-4o", "gpt-4.1", "o1", "vision-preview", "omni"]):
+        caps.add("vision")
+
+    if any(keyword in lower for keyword in ["embed", "embedding"]):
+        caps.add("embedding")
+
+    if "rerank" in lower or "re-rank" in lower:
+        caps.add("rerank")
+
+    if any(keyword in lower for keyword in ["tts", "speech", "audio"]):
+        caps.add("voice")
+
+    embedding_dim = OPENAI_EMBEDDING_DIMS.get(model_id)
+    return normalize_capabilities(caps), embedding_dim
+
+
+def infer_gemini_capabilities(methods: Iterable[str]) -> List[str]:
+    caps = set()
+    for method in methods:
+        m = method.lower()
+        if m in {"generatecontent", "counttokens"}:
+            caps.update({"chat", "tools", "vision"})
+        if m == "embedcontent":
+            caps.add("embedding")
+        if m in {"generatespeech", "audiogeneration"}:
+            caps.add("voice")
+        if m == "rerank":
+            caps.add("rerank")
+    return normalize_capabilities(caps)
+
+
+def serialize_provider(provider: AIProvider) -> Dict[str, Any]:
+    return {
+        "id": provider.id,
+        "name": provider.name,
+        "identifier": provider.identifier,
+        "provider_type": provider.provider_type,
+        "api_format": provider.api_format,
+        "base_url": provider.base_url,
+        "api_key": provider.api_key,
+        "logo_url": provider.logo_url,
+        "extra_config": provider.extra_config or {},
+        "created_at": provider.created_at,
+        "updated_at": provider.updated_at,
+    }
+
+
+def model_to_dict(model: AIModel, provider: Optional[AIProvider] = None) -> Dict[str, Any]:
+    provider_obj = provider or getattr(model, "provider", None)
+    provider_data = serialize_provider(provider_obj) if provider_obj else None
+    return {
+        "id": model.id,
+        "provider_id": model.provider_id,
+        "name": model.name,
+        "display_name": model.display_name,
+        "description": model.description,
+        "capabilities": normalize_capabilities(model.capabilities),
+        "context_window": model.context_window,
+        "embedding_dimensions": model.embedding_dimensions,
+        "metadata": model.metadata or {},
+        "created_at": model.created_at,
+        "updated_at": model.updated_at,
+        "provider": provider_data,
+    }
+
+
+def provider_to_dict(provider: AIProvider, models: Optional[List[AIModel]] = None) -> Dict[str, Any]:
+    data = serialize_provider(provider)
+    if models is not None:
+        data["models"] = [model_to_dict(m, provider=provider) for m in models]
+    return data
+
+
+class AIProviderService:
+    async def list_providers(self) -> List[Dict[str, Any]]:
+        providers = await AIProvider.all().order_by("id").prefetch_related("models")
+        return [provider_to_dict(p, models=list(p.models)) for p in providers]
+
+    async def get_provider(self, provider_id: int, with_models: bool = False) -> Dict[str, Any]:
+        if with_models:
+            provider = await AIProvider.get(id=provider_id)
+            models = await provider.models.all()
+            return provider_to_dict(provider, models=models)
+        else:
+            provider = await AIProvider.get(id=provider_id)
+            return provider_to_dict(provider)
+
+    async def create_provider(self, payload: Dict[str, Any]) -> Dict[str, Any]:
+        data = payload.copy()
+        data.setdefault("extra_config", {})
+        provider = await AIProvider.create(**data)
+        return provider_to_dict(provider)
+
+    async def update_provider(self, provider_id: int, payload: Dict[str, Any]) -> Dict[str, Any]:
+        provider = await AIProvider.get(id=provider_id)
+        for field, value in payload.items():
+            setattr(provider, field, value)
+        await provider.save()
+        return provider_to_dict(provider)
+
+    async def delete_provider(self, provider_id: int) -> None:
+        await AIProvider.filter(id=provider_id).delete()
+
+    async def list_models(self, provider_id: int) -> List[Dict[str, Any]]:
+        models = await AIModel.filter(provider_id=provider_id).order_by("id").prefetch_related("provider")
+        return [model_to_dict(m) for m in models]
+
+    async def create_model(self, provider_id: int, payload: Dict[str, Any]) -> Dict[str, Any]:
+        data = payload.copy()
+        data["provider_id"] = provider_id
+        data["capabilities"] = normalize_capabilities(data.get("capabilities"))
+        embedding_dim = _normalize_embedding_dim(data.pop("embedding_dimensions", None))
+        data = _apply_embedding_dim_to_metadata(data, embedding_dim)
+        model = await AIModel.create(**data)
+        await model.fetch_related("provider")
+        return model_to_dict(model)
+
+    async def update_model(self, model_id: int, payload: Dict[str, Any]) -> Dict[str, Any]:
+        model = await AIModel.get(id=model_id)
+        data = payload.copy()
+        if "capabilities" in data:
+            data["capabilities"] = normalize_capabilities(data.get("capabilities"))
+        embedding_dim = None
+        if "embedding_dimensions" in data:
+            embedding_dim = _normalize_embedding_dim(data.pop("embedding_dimensions", None))
+            _apply_embedding_dim_to_metadata(data, embedding_dim, base_metadata=model.metadata)
+        for field, value in data.items():
+            setattr(model, field, value)
+        if embedding_dim is not None or ("embedding_dimensions" in payload and embedding_dim is None):
+            model.embedding_dimensions = embedding_dim
+        await model.save()
+        await model.fetch_related("provider")
+        return model_to_dict(model)
+
+    async def delete_model(self, model_id: int) -> None:
+        await AIModel.filter(id=model_id).delete()
+
+    async def fetch_remote_models(self, provider_id: int) -> List[Dict[str, Any]]:
+        provider = await AIProvider.get(id=provider_id)
+        return await self._get_remote_models(provider)
+
+    async def _get_remote_models(self, provider: AIProvider) -> List[Dict[str, Any]]:
+        if not provider.base_url:
+            raise ValueError("Provider base_url is required for syncing models")
+
+        fmt = (provider.api_format or "").lower()
+        if fmt not in {"openai", "gemini"}:
+            raise ValueError(f"Unsupported api_format '{provider.api_format}' for syncing models")
+
+        if fmt == "openai":
+            return await self._fetch_openai_models(provider)
+        return await self._fetch_gemini_models(provider)
+
+    async def sync_models(self, provider_id: int) -> Dict[str, int]:
+        provider = await AIProvider.get(id=provider_id)
+        remote_models = await self._get_remote_models(provider)
+
+        created = 0
+        updated = 0
+        for entry in remote_models:
+            defaults = entry.copy()
+            model_id = defaults.pop("name")
+            defaults["capabilities"] = normalize_capabilities(defaults.get("capabilities"))
+            embedding_dim = _normalize_embedding_dim(defaults.pop("embedding_dimensions", None))
+            defaults = _apply_embedding_dim_to_metadata(defaults, embedding_dim)
+            obj, is_created = await AIModel.get_or_create(
+                provider_id=provider.id,
+                name=model_id,
+                defaults=defaults,
+            )
+            if is_created:
+                created += 1
+                continue
+            for field, value in defaults.items():
+                setattr(obj, field, value)
+            if embedding_dim is not None or ("embedding_dimensions" in entry and embedding_dim is None):
+                obj.embedding_dimensions = embedding_dim
+            await obj.save()
+            updated += 1
+
+        return {"created": created, "updated": updated}
+
+    async def get_default_models(self) -> Dict[str, Optional[Dict[str, Any]]]:
+        defaults = await AIDefaultModel.all().prefetch_related("model__provider")
+        result: Dict[str, Optional[Dict[str, Any]]] = {ability: None for ability in ABILITIES}
+        for item in defaults:
+            result[item.ability] = model_to_dict(item.model, provider=item.model.provider)  # type: ignore[attr-defined]
+        return result
+
+    async def set_default_models(self, mapping: Dict[str, Optional[int]]) -> Dict[str, Optional[Dict[str, Any]]]:
+        normalized = {ability: mapping.get(ability) for ability in ABILITIES}
+        async with in_transaction() as connection:
+            for ability, model_id in normalized.items():
+                record = await AIDefaultModel.get_or_none(ability=ability)
+                if model_id:
+                    try:
+                        model = await AIModel.get(id=model_id)
+                    except DoesNotExist:
+                        raise ValueError(f"Model {model_id} not found")
+                    if record:
+                        record.model_id = model_id
+                        await record.save(using_db=connection)
+                    else:
+                        await AIDefaultModel.create(ability=ability, model_id=model_id)
+                elif record:
+                    await record.delete(using_db=connection)
+        return await self.get_default_models()
+
+    async def get_default_model(self, ability: str) -> Optional[AIModel]:
+        ability_key = ability.lower()
+        if ability_key not in ABILITIES:
+            return None
+        record = await AIDefaultModel.get_or_none(ability=ability_key)
+        if not record:
+            return None
+        model = await AIModel.get_or_none(id=record.model_id)
+        if model:
+            await model.fetch_related("provider")
+        return model
+
+    async def _fetch_openai_models(self, provider: AIProvider) -> List[Dict[str, Any]]:
+        base_url = provider.base_url.rstrip("/")
+        url = f"{base_url}/models"
+        headers = {}
+        if provider.api_key:
+            headers["Authorization"] = f"Bearer {provider.api_key}"
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.get(url, headers=headers)
+            response.raise_for_status()
+            payload = response.json()
+
+        data = payload.get("data", [])
+        entries: List[Dict[str, Any]] = []
+        for item in data:
+            model_id = item.get("id")
+            if not model_id:
+                continue
+            capabilities, embedding_dim = infer_openai_capabilities(model_id)
+            entries.append({
+                "name": model_id,
+                "display_name": item.get("display_name"),
+                "description": item.get("description"),
+                "capabilities": capabilities,
+                "context_window": item.get("context_window"),
+                "embedding_dimensions": embedding_dim,
+                "metadata": item,
+            })
+        return entries
+
+    async def _fetch_gemini_models(self, provider: AIProvider) -> List[Dict[str, Any]]:
+        base_url = provider.base_url.rstrip("/")
+        suffix = "/models"
+        if provider.api_key:
+            suffix += f"?key={provider.api_key}"
+        url = f"{base_url}{suffix}"
+
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.get(url)
+            response.raise_for_status()
+            payload = response.json()
+
+        data = payload.get("models", [])
+        entries: List[Dict[str, Any]] = []
+        for item in data:
+            model_id = item.get("name")
+            if not model_id:
+                continue
+            methods = item.get("supportedGenerationMethods") or []
+            capabilities = infer_gemini_capabilities(methods)
+            entries.append({
+                "name": model_id,
+                "display_name": item.get("displayName"),
+                "description": item.get("description"),
+                "capabilities": capabilities,
+                "context_window": item.get("inputTokenLimit"),
+                "embedding_dimensions": item.get("embeddingDimensions"),
+                "metadata": item,
+            })
+        return entries

services/config.py

@@ -4,7 +4,7 @@ from typing import Any, Optional, Dict
 from dotenv import load_dotenv
 from models.database import Configuration
 load_dotenv(dotenv_path=".env")
-VERSION = "v1.2.10"
+VERSION = "v1.3.4"
 
 class ConfigCenter:
     _cache: Dict[str, Any] = {}

services/processors/vector_index.py

@@ -1,15 +1,95 @@
-from typing import Dict, Any
+from typing import Dict, Any, List, Tuple
 from fastapi.responses import Response
 import base64
-from services.ai import describe_image_base64, get_text_embedding
+import mimetypes
+import os
+from io import BytesIO
+
+from services.ai import describe_image_base64, get_text_embedding, provider_service
 from services.vector_db import VectorDBService, DEFAULT_VECTOR_DIMENSION
 from services.logging import LogService
-from services.config import ConfigCenter
+from PIL import Image
+
+
+
+CHUNK_SIZE = 800
+CHUNK_OVERLAP = 200
+MAX_IMAGE_EDGE = 1600
+JPEG_QUALITY = 85
+
+
+def _chunk_text(content: str, chunk_size: int = CHUNK_SIZE, overlap: int = CHUNK_OVERLAP) -> List[Tuple[int, str, int, int]]:
+    """按固定窗口拆分文本，返回(chunk_id, chunk_text, start, end)。"""
+    if chunk_size <= 0:
+        chunk_size = CHUNK_SIZE
+    if overlap >= chunk_size:
+        overlap = max(chunk_size // 4, 1)
+
+    chunks: List[Tuple[int, str, int, int]] = []
+    step = chunk_size - overlap
+    idx = 0
+    start = 0
+    length = len(content)
+
+    while start < length:
+        end = min(length, start + chunk_size)
+        chunk = content[start:end].strip()
+        if chunk:
+            chunks.append((idx, chunk, start, end))
+            idx += 1
+        if end >= length:
+            break
+        start += step
+    return chunks
+
+
+def _guess_mime(path: str) -> str:
+    mime, _ = mimetypes.guess_type(path)
+    return mime or "application/octet-stream"
+
+
+def _chunk_key(path: str, chunk_id: str) -> str:
+    return f"{path}#chunk={chunk_id}"
+
+
+def _compress_image_for_embedding(input_bytes: bytes) -> Tuple[bytes, Dict[str, Any] | None]:
+    """压缩图片，降低发送到视觉模型的体积。"""
+    if Image is None:
+        return input_bytes, None
+
+    try:
+        with Image.open(BytesIO(input_bytes)) as img:
+            img = img.convert("RGB")
+            width, height = img.size
+            longest_edge = max(width, height)
+            scale = 1.0
+            if longest_edge > MAX_IMAGE_EDGE:
+                scale = MAX_IMAGE_EDGE / float(longest_edge)
+                new_size = (max(int(width * scale), 1), max(int(height * scale), 1))
+                resample_mode = getattr(getattr(Image, "Resampling", Image), "LANCZOS")
+                img = img.resize(new_size, resample=resample_mode)
+
+            buffer = BytesIO()
+            img.save(buffer, format="JPEG", quality=JPEG_QUALITY, optimize=True)
+            compressed = buffer.getvalue()
+
+            if len(compressed) < len(input_bytes):
+                return compressed, {
+                    "original_bytes": len(input_bytes),
+                    "compressed_bytes": len(compressed),
+                    "scaled": scale < 1.0,
+                    "width": img.width,
+                    "height": img.height,
+                }
+    except Exception:  # pragma: no cover - 任意图像处理异常时回退
+        return input_bytes, None
+
+    return input_bytes, None
 
 
 class VectorIndexProcessor:
     name = "向量索引"
-    supported_exts = ["jpg", "jpeg", "png", "bmp", "txt", "md"]
+    supported_exts: List[str] = []  # 留空表示不限扩展名
     config_schema = [
         {
             "key": "action", "label": "操作", "type": "select", "required": True, "default": "create",
@@ -33,6 +113,7 @@ class VectorIndexProcessor:
         index_type = config.get("index_type", "vector")
         vector_db = VectorDBService()
         collection_name = "vector_collection"
+
         if action == "destroy":
             await vector_db.delete_vector(collection_name, path)
             await LogService.info(
@@ -42,9 +123,19 @@ class VectorIndexProcessor:
             )
             return Response(content=f"文件 {path} 的 {index_type} 索引已销毁", media_type="text/plain")
 
-        if index_type == 'simple':
+        mime_type = _guess_mime(path)
+
+        if index_type == "simple":
             await vector_db.ensure_collection(collection_name, vector=False)
-            await vector_db.upsert_vector(collection_name, {'path': path})
+            await vector_db.delete_vector(collection_name, path)
+            await vector_db.upsert_vector(collection_name, {
+                "path": path,
+                "source_path": path,
+                "chunk_id": "filename",
+                "mime": mime_type,
+                "type": "filename",
+                "name": os.path.basename(path),
+            })
             await LogService.info(
                 "processor:vector_index",
                 f"Created simple index for {path}",
@@ -53,43 +144,116 @@ class VectorIndexProcessor:
             return Response(content=f"文件 {path} 的普通索引已创建", media_type="text/plain")
 
         file_ext = path.split('.')[-1].lower()
-        description = ""
-        embedding = None
+        details: Dict[str, Any] = {"path": path, "action": "create", "index_type": "vector"}
 
-        if file_ext in ["jpg", "jpeg", "png", "bmp"]:
-            base64_image = base64.b64encode(input_bytes).decode("utf-8")
-            description = await describe_image_base64(base64_image)
-            embedding = await get_text_embedding(description)
-            log_message = f"Indexed image {path}"
-            response_message = f"图片已索引，描述：{description}"
-        elif file_ext in ["txt", "md"]:
-            text = input_bytes.decode("utf-8")
-            embedding = await get_text_embedding(text)
-            description = text[:100] + "..." if len(text) > 100 else text
-            log_message = f"Indexed text file {path}"
-            response_message = f"文本文件已索引"
-        
-        if embedding is None:
-            return Response(content="不支持的文件类型", status_code=400)
-
-        raw_dim = await ConfigCenter.get('AI_EMBED_DIM', DEFAULT_VECTOR_DIMENSION)
-        try:
-            vector_dim = int(raw_dim)
-        except (TypeError, ValueError):
-            vector_dim = DEFAULT_VECTOR_DIMENSION
-        if vector_dim <= 0:
-            vector_dim = DEFAULT_VECTOR_DIMENSION
+        embedding_model = await provider_service.get_default_model("embedding")
+        vector_dim = DEFAULT_VECTOR_DIMENSION
+        if embedding_model and getattr(embedding_model, "embedding_dimensions", None):
+            try:
+                vector_dim = int(embedding_model.embedding_dimensions)
+            except (TypeError, ValueError):
+                vector_dim = DEFAULT_VECTOR_DIMENSION
+            if vector_dim <= 0:
+                vector_dim = DEFAULT_VECTOR_DIMENSION
 
         await vector_db.ensure_collection(collection_name, vector=True, dim=vector_dim)
-        await vector_db.upsert_vector(
-            collection_name, {'path': path, 'embedding': embedding})
-        
+        await vector_db.delete_vector(collection_name, path)
+
+        if file_ext in ["jpg", "jpeg", "png", "bmp"]:
+            processed_bytes, compression = _compress_image_for_embedding(input_bytes)
+            base64_image = base64.b64encode(processed_bytes).decode("utf-8")
+            description = await describe_image_base64(base64_image)
+            embedding = await get_text_embedding(description)
+            image_mime = "image/jpeg" if compression else mime_type
+            await vector_db.upsert_vector(collection_name, {
+                "path": _chunk_key(path, "image"),
+                "source_path": path,
+                "chunk_id": "image",
+                "embedding": embedding,
+                "text": description,
+                "mime": image_mime,
+                "type": "image",
+            })
+            details["description"] = description
+            if compression:
+                details["image_compression"] = compression
+            await LogService.info(
+                "processor:vector_index",
+                f"Indexed image {path}",
+                details=details,
+            )
+            return Response(content=f"图片已索引，描述：{description}", media_type="text/plain")
+
+        if file_ext in ["txt", "md"]:
+            try:
+                text = input_bytes.decode("utf-8")
+            except UnicodeDecodeError:
+                return Response(content="文本文件解码失败", status_code=400)
+
+            chunks = _chunk_text(text)
+            if not chunks:
+                await vector_db.upsert_vector(collection_name, {
+                    "path": _chunk_key(path, "0"),
+                    "source_path": path,
+                    "chunk_id": "0",
+                    "embedding": await get_text_embedding(text or path),
+                    "text": text,
+                    "mime": mime_type,
+                    "type": "text",
+                    "start_offset": 0,
+                    "end_offset": len(text),
+                })
+                details["chunks"] = 1
+                await LogService.info(
+                    "processor:vector_index",
+                    f"Indexed text file {path}",
+                    details=details,
+                )
+                return Response(content="文本文件已索引", media_type="text/plain")
+
+            chunk_count = 0
+            for chunk_id, chunk_text, start, end in chunks:
+                embedding = await get_text_embedding(chunk_text)
+                await vector_db.upsert_vector(collection_name, {
+                    "path": _chunk_key(path, str(chunk_id)),
+                    "source_path": path,
+                    "chunk_id": str(chunk_id),
+                    "embedding": embedding,
+                    "text": chunk_text,
+                    "mime": mime_type,
+                    "type": "text",
+                    "start_offset": start,
+                    "end_offset": end,
+                })
+                chunk_count += 1
+
+            details["chunks"] = chunk_count
+            sample = chunks[0][1]
+            details["sample"] = sample[:120]
+            await LogService.info(
+                "processor:vector_index",
+                f"Indexed text file {path}",
+                details=details,
+            )
+            return Response(content="文本文件已索引", media_type="text/plain")
+
+        # 其他类型暂未支持向量索引，回退为文件名索引
+        await vector_db.delete_vector(collection_name, path)
+        await vector_db.upsert_vector(collection_name, {
+            "path": _chunk_key(path, "fallback"),
+            "source_path": path,
+            "chunk_id": "filename",
+            "mime": mime_type,
+            "type": "filename",
+            "name": os.path.basename(path),
+            "embedding": [0.0] * vector_dim,
+        })
         await LogService.info(
             "processor:vector_index",
-            log_message,
-            details={"path": path, "description": description, "action": "create", "index_type": "vector"},
+            f"File type fallback to simple index for {path}",
+            details={"path": path, "action": "create", "index_type": "simple", "original_type": file_ext},
         )
-        return Response(content=response_message, media_type="text/plain")
+        return Response(content="暂不支持该类型的向量索引，已创建文件名索引", media_type="text/plain")
 
 
 PROCESSOR_TYPE = "vector_index"

services/thumbnail.py

@@ -1,6 +1,10 @@
 from __future__ import annotations
+import asyncio
+import inspect
 import io
 import hashlib
+import tempfile
+from contextlib import suppress
 from pathlib import Path
 from typing import Tuple
 from fastapi import HTTPException
@@ -8,7 +12,10 @@ from fastapi import HTTPException
 ALLOWED_EXT = {"jpg", "jpeg", "png", "webp", "gif", "bmp",
                "tiff", "arw", "cr2", "cr3", "nef", "rw2", "orf", "pef", "dng"}
 RAW_EXT = {"arw", "cr2", "cr3", "nef", "rw2", "orf", "pef", "dng"}
-MAX_SOURCE_SIZE = 200 * 1024 * 1024
+VIDEO_EXT = {"mp4", "mov", "m4v", "avi", "mkv", "wmv", "flv", "webm", "mpg", "mpeg", "3gp"}
+MAX_IMAGE_SOURCE_SIZE = 200 * 1024 * 1024
+VIDEO_RANGE_LIMIT = 16 * 1024 * 1024  # 16MB
+VIDEO_INITIAL_CHUNK = 4 * 1024 * 1024
 CACHE_ROOT = Path('data/.thumb_cache')
 
 
@@ -26,6 +33,13 @@ def is_raw_filename(name: str) -> bool:
     return parts[1].lower() in RAW_EXT
 
 
+def is_video_filename(name: str) -> bool:
+    parts = name.rsplit('.', 1)
+    if len(parts) < 2:
+        return False
+    return parts[1].lower() in VIDEO_EXT
+
+
 def _cache_key(adapter_id: int, rel: str, size: int, mtime: int, w: int, h: int, fit: str) -> str:
     raw = f"{adapter_id}|{rel}|{size}|{mtime}|{w}x{h}|{fit}".encode()
     return hashlib.sha1(raw).hexdigest()
@@ -40,6 +54,30 @@ def _ensure_cache_dir(p: Path):
     p.parent.mkdir(parents=True, exist_ok=True)
 
 
+def _image_to_webp(im, w: int, h: int, fit: str) -> Tuple[bytes, str]:
+    from PIL import Image
+    if im.mode not in ("RGB", "RGBA"):
+        im = im.convert("RGBA" if im.mode in ("P", "LA") else "RGB")
+    if fit == 'cover':
+        im_ratio = im.width / im.height
+        target_ratio = w / h
+        if im_ratio > target_ratio:
+            new_h = h
+            new_w = int(h * im_ratio)
+        else:
+            new_w = w
+            new_h = int(w / im_ratio)
+        im = im.resize((new_w, new_h))
+        left = max(0, (im.width - w)//2)
+        top = max(0, (im.height - h)//2)
+        im = im.crop((left, top, left + w, top + h))
+    else:
+        im.thumbnail((w, h))
+    buf = io.BytesIO()
+    im.save(buf, 'WEBP', quality=80)
+    return buf.getvalue(), 'image/webp'
+
+
 def generate_thumb(data: bytes, w: int, h: int, fit: str, is_raw: bool = False) -> Tuple[bytes, str]:
     from PIL import Image
     if is_raw:
@@ -64,35 +102,172 @@ def generate_thumb(data: bytes, w: int, h: int, fit: str, is_raw: bool = False)
     else:
         im = Image.open(io.BytesIO(data))
 
-    if im.mode not in ("RGB", "RGBA"):
-        im = im.convert("RGBA" if im.mode in ("P", "LA") else "RGB")
-    if fit == 'cover':
-        im_ratio = im.width / im.height
-        target_ratio = w / h
-        if im_ratio > target_ratio:
-            new_h = h
-            new_w = int(h * im_ratio)
-        else:
-            new_w = w
-            new_h = int(w / im_ratio)
-        im = im.resize((new_w, new_h))
-        left = max(0, (im.width - w)//2)
-        top = max(0, (im.height - h)//2)
-        im = im.crop((left, top, left + w, top + h))
-    else:
-        im.thumbnail((w, h))
-    buf = io.BytesIO()
-    im.save(buf, 'WEBP', quality=80)
-    return buf.getvalue(), 'image/webp'
+    return _image_to_webp(im, w, h, fit)
+
+
+async def _collect_response_bytes(response, limit: int) -> bytes:
+    if response is None:
+        return b""
+
+    try:
+        if isinstance(response, (bytes, bytearray)):
+            return bytes(response[:limit])
+
+        body = getattr(response, "body", None)
+        if body is not None:
+            return bytes(body[:limit])
+
+        iterator = getattr(response, "body_iterator", None)
+        if iterator is not None:
+            data = bytearray()
+            async for chunk in iterator:
+                if not chunk:
+                    continue
+                need = limit - len(data)
+                if need <= 0:
+                    break
+                data.extend(chunk[:need])
+                if len(data) >= limit:
+                    break
+            return bytes(data)
+
+        if hasattr(response, "__aiter__"):
+            data = bytearray()
+            async for chunk in response:
+                if not chunk:
+                    continue
+                need = limit - len(data)
+                if need <= 0:
+                    break
+                data.extend(chunk[:need])
+                if len(data) >= limit:
+                    break
+            return bytes(data)
+    finally:
+        close_func = getattr(response, "close", None)
+        if callable(close_func):
+            result = close_func()
+            if inspect.isawaitable(result):
+                await result
+
+    return b""
+
+
+async def _read_range_slice(adapter, root: str, rel: str, start: int, end: int) -> bytes:
+    read_range = getattr(adapter, "read_file_range", None)
+    if callable(read_range):
+        try:
+            return await read_range(root, rel, start, end)
+        except TypeError:
+            return await read_range(root, rel, start, end=end)
+
+    stream_impl = getattr(adapter, "stream_file", None)
+    if callable(stream_impl):
+        range_header = f"bytes={start}-{end}"
+        response = await stream_impl(root, rel, range_header)
+        expected = end - start + 1
+        return await _collect_response_bytes(response, expected)
+
+    read_file = getattr(adapter, "read_file", None)
+    if callable(read_file) and start == 0:
+        data = await read_file(root, rel)
+        slice_end = end + 1
+        return data[:slice_end]
+
+    return b""
+
+
+async def _read_video_prefix(adapter, root: str, rel: str, size: int, limit: int = VIDEO_RANGE_LIMIT) -> bytes:
+    chunk_size = min(VIDEO_INITIAL_CHUNK, limit)
+    offset = 0
+    collected = bytearray()
+
+    while len(collected) < limit:
+        end = offset + chunk_size - 1
+        data = await _read_range_slice(adapter, root, rel, offset, end)
+        if not data:
+            break
+        collected.extend(data)
+        if len(data) < chunk_size:
+            break
+        offset += len(data)
+        remaining = limit - len(collected)
+        if remaining <= 0:
+            break
+        chunk_size = min(chunk_size * 2, remaining)
+
+    if not collected and size <= limit:
+        read_file = getattr(adapter, "read_file", None)
+        if callable(read_file):
+            blob = await read_file(root, rel)
+            if blob:
+                return bytes(blob[:limit])
+
+    return bytes(collected[:limit])
+
+
+async def _run_ffmpeg_extract_frame(src_path: str, dst_path: str):
+    cmd = [
+        "ffmpeg",
+        "-y",
+        "-hide_banner",
+        "-loglevel", "error",
+        "-i", src_path,
+        "-frames:v", "1",
+        dst_path,
+    ]
+    try:
+        proc = await asyncio.create_subprocess_exec(
+            *cmd,
+            stdout=asyncio.subprocess.PIPE,
+            stderr=asyncio.subprocess.PIPE,
+        )
+    except FileNotFoundError as e:
+        raise RuntimeError("未找到 ffmpeg，可执行文件需要在 PATH 中") from e
+
+    stdout, stderr = await proc.communicate()
+    if proc.returncode != 0:
+        message = stderr.decode().strip() or stdout.decode().strip() or "ffmpeg 执行失败"
+        raise RuntimeError(message)
+
+
+async def _generate_video_thumb(video_bytes: bytes, rel: str, w: int, h: int, fit: str) -> Tuple[bytes, str]:
+    from PIL import Image
+
+    suffix = Path(rel).suffix or ".mp4"
+    src_tmp = tempfile.NamedTemporaryFile(suffix=suffix, delete=False)
+    src_path = src_tmp.name
+    try:
+        src_tmp.write(video_bytes)
+        src_tmp.flush()
+    finally:
+        src_tmp.close()
+
+    dst_tmp = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
+    dst_path = dst_tmp.name
+    dst_tmp.close()
+
+    try:
+        await _run_ffmpeg_extract_frame(src_path, dst_path)
+        with Image.open(dst_path) as im:
+            im.load()
+            return _image_to_webp(im, w, h, fit)
+    finally:
+        with suppress(FileNotFoundError):
+            Path(src_path).unlink()
+        with suppress(FileNotFoundError):
+            Path(dst_path).unlink()
 
 
 async def get_or_create_thumb(adapter, adapter_id: int, root: str, rel: str, w: int, h: int, fit: str = 'cover'):
     stat = await adapter.stat_file(root, rel)
-    if stat['size'] > MAX_SOURCE_SIZE:
+    size = int(stat.get('size') or 0)
+    is_video = is_video_filename(rel)
+    if not is_video and size > MAX_IMAGE_SOURCE_SIZE:
         raise HTTPException(400, detail="Image too large for thumbnail")
 
-    key = _cache_key(adapter_id, rel, stat['size'], int(
-        stat['mtime']), w, h, fit)
+    key = _cache_key(adapter_id, rel, size, int(
+        stat.get('mtime', 0)), w, h, fit)
     path = _cache_path(key)
     if path.exists():
         return path.read_bytes(), 'image/webp', key
@@ -119,14 +294,33 @@ async def get_or_create_thumb(adapter, adapter_id: int, root: str, rel: str, w:
                 thumb_bytes, mime = None, None
 
     if not thumb_bytes:
-        read_data = await adapter.read_file(root, rel)
-        try:
-            thumb_bytes, mime = generate_thumb(
-                read_data, w, h, fit, is_raw=is_raw_filename(rel))
-        except Exception as e:
-            print(e)
-            raise HTTPException(
-                500, detail=f"Thumbnail generation failed: {e}")
+        if is_video:
+            try:
+                video_bytes = await _read_video_prefix(adapter, root, rel, size)
+            except HTTPException:
+                raise
+            except Exception as e:
+                print(f"Video prefix read failed: {e}")
+                raise HTTPException(500, detail=f"Video read failed: {e}")
+
+            if not video_bytes:
+                raise HTTPException(500, detail="Unable to read video data for thumbnail")
+
+            try:
+                thumb_bytes, mime = await _generate_video_thumb(video_bytes, rel, w, h, fit)
+            except Exception as e:
+                print(f"Video thumbnail generation failed: {e}")
+                raise HTTPException(
+                    500, detail=f"Video thumbnail generation failed: {e}")
+        else:
+            read_data = await adapter.read_file(root, rel)
+            try:
+                thumb_bytes, mime = generate_thumb(
+                    read_data, w, h, fit, is_raw=is_raw_filename(rel))
+            except Exception as e:
+                print(e)
+                raise HTTPException(
+                    500, detail=f"Thumbnail generation failed: {e}")
 
     if thumb_bytes:
         path.write_bytes(thumb_bytes)

services/vector_db/providers/milvus_lite.py

@@ -39,6 +39,35 @@ class MilvusLiteProvider(BaseVectorProvider):
             raise RuntimeError("Milvus Lite client is not initialized")
         return self.client
 
+    @staticmethod
+    def _extract_hit_payload(hit: Any) -> tuple[Any, Any, Dict[str, Any]]:
+        hit_id = getattr(hit, "id", None)
+        distance = getattr(hit, "distance", None)
+        payload: Dict[str, Any] = {}
+
+        raw: Dict[str, Any] | None = None
+        if hasattr(hit, "entity"):
+            raw_entity = getattr(hit, "entity")
+            if hasattr(raw_entity, "to_dict"):
+                raw = dict(raw_entity.to_dict())
+            else:
+                raw = dict(raw_entity)
+        elif isinstance(hit, dict):
+            raw = dict(hit)
+
+        if raw:
+            hit_id = hit_id or raw.get("id")
+            distance = distance if distance is not None else raw.get("distance")
+            inner = raw.get("entity")
+            if isinstance(inner, dict):
+                payload = dict(inner)
+            else:
+                payload = {k: v for k, v in raw.items() if k not in {"id", "distance", "entity"}}
+
+        payload.setdefault("path", payload.get("source_path"))
+        payload.setdefault("source_path", payload.get("path"))
+        return hit_id, distance, payload
+
     @staticmethod
     def _to_int(value: Any) -> int:
         try:
@@ -50,15 +79,20 @@ class MilvusLiteProvider(BaseVectorProvider):
         client = self._get_client()
         if client.has_collection(collection_name):
             return
+        common_fields = [
+            FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
+            FieldSchema(name="source_path", dtype=DataType.VARCHAR, max_length=512, is_primary=False, auto_id=False),
+        ]
+
         if vector:
             vector_dim = dim if isinstance(dim, int) and dim > 0 else 0
             if vector_dim <= 0:
                 vector_dim = 4096
             fields = [
-                FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
+                *common_fields,
                 FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=vector_dim),
             ]
-            schema = CollectionSchema(fields, description="Image vector collection")
+            schema = CollectionSchema(fields, description="Vector collection", enable_dynamic_field=True)
             client.create_collection(collection_name, schema=schema)
             index_params = MilvusClient.prepare_index_params()
             index_params.add_index(
@@ -70,38 +104,86 @@ class MilvusLiteProvider(BaseVectorProvider):
             )
             client.create_index(collection_name, index_params=index_params)
         else:
-            fields = [
-                FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
-            ]
-            schema = CollectionSchema(fields, description="Simple file index")
+            schema = CollectionSchema(common_fields, description="Simple file index", enable_dynamic_field=True)
             client.create_collection(collection_name, schema=schema)
 
     def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
-        self._get_client().upsert(collection_name, data)
+        payload = dict(data)
+        payload.setdefault("source_path", payload.get("path"))
+        payload.setdefault("vector_id", payload.get("path"))
+        self._get_client().upsert(collection_name, data=[payload])
 
     def delete_vector(self, collection_name: str, path: str) -> None:
-        self._get_client().delete(collection_name, ids=[path])
+        client = self._get_client()
+        escaped = path.replace('"', '\\"')
+        client.delete(collection_name, filter=f'source_path == "{escaped}"')
 
     def search_vectors(self, collection_name: str, query_embedding, top_k: int):
         search_params = {"metric_type": "COSINE"}
-        return self._get_client().search(
+        output_fields = [
+            "path",
+            "source_path",
+            "chunk_id",
+            "mime",
+            "text",
+            "start_offset",
+            "end_offset",
+            "type",
+            "name",
+        ]
+        raw_results = self._get_client().search(
             collection_name,
             data=[query_embedding],
             anns_field="embedding",
             search_params=search_params,
             limit=top_k,
-            output_fields=["path"],
+            output_fields=output_fields,
         )
+        formatted: List[List[Dict[str, Any]]] = []
+        for hits in raw_results:
+            bucket: List[Dict[str, Any]] = []
+            for hit in hits:
+                hit_id, distance, entity = self._extract_hit_payload(hit)
+                bucket.append({
+                    "id": hit_id,
+                    "distance": distance,
+                    "entity": entity,
+                })
+            formatted.append(bucket)
+        return formatted
 
     def search_by_path(self, collection_name: str, query_path: str, top_k: int):
-        filter_expr = f"path like '%{query_path}%'" if query_path else "path like '%%'"
+        if query_path:
+            escaped = query_path.replace('"', '\\"')
+            filter_expr = f'source_path like "%{escaped}%"'
+        else:
+            filter_expr = "source_path like '%%'"
         results = self._get_client().query(
             collection_name,
             filter=filter_expr,
             limit=top_k,
-            output_fields=["path"],
+            output_fields=[
+                "path",
+                "source_path",
+                "chunk_id",
+                "mime",
+                "text",
+                "start_offset",
+                "end_offset",
+                "type",
+                "name",
+            ],
         )
-        return [[{"id": r["path"], "distance": 1.0, "entity": {"path": r["path"]}} for r in results]]
+        formatted = []
+        for row in results:
+            entity = dict(row)
+            entity.setdefault("path", entity.get("source_path"))
+            formatted.append({
+                "id": entity.get("path"),
+                "distance": 1.0,
+                "entity": entity,
+            })
+        return [formatted]
 
     def get_all_stats(self) -> Dict[str, Any]:
         client = self._get_client()

services/vector_db/providers/milvus_server.py

@@ -47,6 +47,35 @@ class MilvusServerProvider(BaseVectorProvider):
             raise RuntimeError("Milvus Server client is not initialized")
         return self.client
 
+    @staticmethod
+    def _extract_hit_payload(hit: Any) -> tuple[Any, Any, Dict[str, Any]]:
+        hit_id = getattr(hit, "id", None)
+        distance = getattr(hit, "distance", None)
+        payload: Dict[str, Any] = {}
+
+        raw: Dict[str, Any] | None = None
+        if hasattr(hit, "entity"):
+            raw_entity = getattr(hit, "entity")
+            if hasattr(raw_entity, "to_dict"):
+                raw = dict(raw_entity.to_dict())
+            else:
+                raw = dict(raw_entity)
+        elif isinstance(hit, dict):
+            raw = dict(hit)
+
+        if raw:
+            hit_id = hit_id or raw.get("id")
+            distance = distance if distance is not None else raw.get("distance")
+            inner = raw.get("entity")
+            if isinstance(inner, dict):
+                payload = dict(inner)
+            else:
+                payload = {k: v for k, v in raw.items() if k not in {"id", "distance", "entity"}}
+
+        payload.setdefault("path", payload.get("source_path"))
+        payload.setdefault("source_path", payload.get("path"))
+        return hit_id, distance, payload
+
     @staticmethod
     def _to_int(value: Any) -> int:
         try:
@@ -58,15 +87,19 @@ class MilvusServerProvider(BaseVectorProvider):
         client = self._get_client()
         if client.has_collection(collection_name):
             return
+        common_fields = [
+            FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
+            FieldSchema(name="source_path", dtype=DataType.VARCHAR, max_length=512, is_primary=False, auto_id=False),
+        ]
         if vector:
             vector_dim = dim if isinstance(dim, int) and dim > 0 else 0
             if vector_dim <= 0:
                 vector_dim = 4096
             fields = [
-                FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
+                *common_fields,
                 FieldSchema(name="embedding", dtype=DataType.FLOAT_VECTOR, dim=vector_dim),
             ]
-            schema = CollectionSchema(fields, description="Image vector collection")
+            schema = CollectionSchema(fields, description="Vector collection", enable_dynamic_field=True)
             client.create_collection(collection_name, schema=schema)
             index_params = MilvusClient.prepare_index_params()
             index_params.add_index(
@@ -78,38 +111,86 @@ class MilvusServerProvider(BaseVectorProvider):
             )
             client.create_index(collection_name, index_params=index_params)
         else:
-            fields = [
-                FieldSchema(name="path", dtype=DataType.VARCHAR, max_length=512, is_primary=True, auto_id=False),
-            ]
-            schema = CollectionSchema(fields, description="Simple file index")
+            schema = CollectionSchema(common_fields, description="Simple file index", enable_dynamic_field=True)
             client.create_collection(collection_name, schema=schema)
 
     def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
-        self._get_client().upsert(collection_name, data)
+        payload = dict(data)
+        payload.setdefault("source_path", payload.get("path"))
+        payload.setdefault("vector_id", payload.get("path"))
+        self._get_client().upsert(collection_name, data=[payload])
 
     def delete_vector(self, collection_name: str, path: str) -> None:
-        self._get_client().delete(collection_name, ids=[path])
+        client = self._get_client()
+        escaped = path.replace('"', '\\"')
+        client.delete(collection_name, filter=f'source_path == "{escaped}"')
 
     def search_vectors(self, collection_name: str, query_embedding, top_k: int):
         search_params = {"metric_type": "COSINE"}
-        return self._get_client().search(
+        output_fields = [
+            "path",
+            "source_path",
+            "chunk_id",
+            "mime",
+            "text",
+            "start_offset",
+            "end_offset",
+            "type",
+            "name",
+        ]
+        raw_results = self._get_client().search(
             collection_name,
             data=[query_embedding],
             anns_field="embedding",
             search_params=search_params,
             limit=top_k,
-            output_fields=["path"],
+            output_fields=output_fields,
         )
+        formatted: List[List[Dict[str, Any]]] = []
+        for hits in raw_results:
+            bucket: List[Dict[str, Any]] = []
+            for hit in hits:
+                hit_id, distance, entity = self._extract_hit_payload(hit)
+                bucket.append({
+                    "id": hit_id,
+                    "distance": distance,
+                    "entity": entity,
+                })
+            formatted.append(bucket)
+        return formatted
 
     def search_by_path(self, collection_name: str, query_path: str, top_k: int):
-        filter_expr = f"path like '%{query_path}%'" if query_path else "path like '%%'"
+        if query_path:
+            escaped = query_path.replace('"', '\\"')
+            filter_expr = f'source_path like "%{escaped}%"'
+        else:
+            filter_expr = "source_path like '%%'"
         results = self._get_client().query(
             collection_name,
             filter=filter_expr,
             limit=top_k,
-            output_fields=["path"],
+            output_fields=[
+                "path",
+                "source_path",
+                "chunk_id",
+                "mime",
+                "text",
+                "start_offset",
+                "end_offset",
+                "type",
+                "name",
+            ],
         )
-        return [[{"id": r["path"], "distance": 1.0, "entity": {"path": r["path"]}} for r in results]]
+        formatted = []
+        for row in results:
+            entity = dict(row)
+            entity.setdefault("path", entity.get("source_path"))
+            formatted.append({
+                "id": entity.get("path"),
+                "distance": 1.0,
+                "entity": entity,
+            })
+        return [formatted]
 
     def get_all_stats(self) -> Dict[str, Any]:
         client = self._get_client()

services/vector_db/providers/qdrant.py

@@ -58,29 +58,59 @@ class QdrantProvider(BaseVectorProvider):
         size = dim if vector and isinstance(dim, int) and dim > 0 else 1
         return qmodels.VectorParams(size=size, distance=qmodels.Distance.COSINE)
 
+    def _ensure_payload_indexes(self, client: QdrantClient, collection_name: str) -> None:
+        for field in ("path", "source_path"):
+            try:
+                client.create_payload_index(
+                    collection_name=collection_name,
+                    field_name=field,
+                    field_schema="keyword",
+                )
+            except Exception as exc:  # pragma: no cover - 依赖外部服务
+                message = str(exc).lower()
+                if "already exists" in message or "index exists" in message:
+                    continue
+                # 旧版本 qdrant 可能返回带状态码的异常，这里容忍重复创建
+                raise
+
     def ensure_collection(self, collection_name: str, vector: bool, dim: int) -> None:
         client = self._get_client()
         try:
-            if client.collection_exists(collection_name):
-                return
+            exists = client.collection_exists(collection_name)
         except Exception as exc:  # pragma: no cover - 依赖外部服务
             raise RuntimeError(f"Failed to check Qdrant collection '{collection_name}': {exc}") from exc
 
+        if exists:
+            try:
+                self._ensure_payload_indexes(client, collection_name)
+            except Exception:
+                pass
+            return
+
         vectors_config = self._vector_params(vector, dim)
         try:
             client.create_collection(collection_name=collection_name, vectors_config=vectors_config)
         except Exception as exc:  # pragma: no cover
             if "already exists" in str(exc).lower():
+                try:
+                    self._ensure_payload_indexes(client, collection_name)
+                except Exception:
+                    pass
                 return
             raise RuntimeError(f"Failed to create Qdrant collection '{collection_name}': {exc}") from exc
 
+        try:
+            self._ensure_payload_indexes(client, collection_name)
+        except Exception:
+            pass
+
     @staticmethod
-    def _point_id(path: str) -> str:
-        return str(uuid5(NAMESPACE_URL, path))
+    def _point_id(uid: str) -> str:
+        return str(uuid5(NAMESPACE_URL, uid))
 
     def _prepare_point(self, data: Dict[str, Any]) -> qmodels.PointStruct:
-        path = data.get("path")
-        if not path:
+        uid = data.get("path")
+        if not uid:
             raise ValueError("Qdrant upsert requires 'path' in data")
 
         embedding = data.get("embedding")
@@ -89,8 +119,11 @@ class QdrantProvider(BaseVectorProvider):
         else:
             vector = [float(x) for x in embedding]
 
-        payload = {"path": path}
-        return qmodels.PointStruct(id=self._point_id(path), vector=vector, payload=payload)
+        payload = {k: v for k, v in data.items() if k != "embedding"}
+        payload.setdefault("vector_id", uid)
+        source_path = payload.get("source_path") or payload.get("path")
+        payload["path"] = source_path
+        return qmodels.PointStruct(id=self._point_id(str(uid)), vector=vector, payload=payload)
 
     def upsert_vector(self, collection_name: str, data: Dict[str, Any]) -> None:
         client = self._get_client()
@@ -99,7 +132,12 @@ class QdrantProvider(BaseVectorProvider):
 
     def delete_vector(self, collection_name: str, path: str) -> None:
         client = self._get_client()
-        selector = qmodels.PointIdsList(points=[self._point_id(path)])
+        condition = qmodels.FieldCondition(
+            key="path",
+            match=qmodels.MatchValue(value=path),
+        )
+        flt = qmodels.Filter(must=[condition])
+        selector = qmodels.FilterSelector(filter=flt)
         client.delete(collection_name=collection_name, points_selector=selector, wait=True)
 
     def _format_search_results(self, points: Sequence[qmodels.ScoredPoint]):
@@ -107,7 +145,7 @@ class QdrantProvider(BaseVectorProvider):
             {
                 "id": point.id,
                 "distance": point.score,
-                "entity": {"path": (point.payload or {}).get("path")},
+                "entity": point.payload or {},
             }
             for point in points
         ]
@@ -141,11 +179,11 @@ class QdrantProvider(BaseVectorProvider):
                 break
 
             for record in records:
-                path = (record.payload or {}).get("path")
-                if query_path and path:
-                    if query_path not in path:
-                        continue
-                results.append({"id": record.id, "distance": 1.0, "entity": {"path": path}})
+                payload = record.payload or {}
+                path = payload.get("path")
+                if query_path and path and query_path not in path:
+                    continue
+                results.append({"id": record.id, "distance": 1.0, "entity": payload})
                 if len(results) >= top_k:
                     break
 

services/virtual_fs.py

@@ -15,14 +15,16 @@ import aiofiles
 from models import StorageAdapter
 from .adapters.registry import runtime_registry
 from api.response import page
-from .thumbnail import is_image_filename, is_raw_filename
+from .thumbnail import is_image_filename, is_raw_filename, is_video_filename
 from services.processors.registry import get as get_processor
 from services.tasks import task_service
 from services.logging import LogService
 from services.config import ConfigCenter
+from services.vector_db import VectorDBService
 
 
 CROSS_TRANSFER_TEMP_ROOT = Path("data/tmp/cross_transfer")
+DIRECT_REDIRECT_CONFIG_KEY = "enable_direct_download_307"
 
 if TYPE_CHECKING:
     from services.task_queue import Task
@@ -87,6 +89,31 @@ async def resolve_adapter_and_rel(path: str):
     return adapter_instance, adapter_model, effective_root, rel
 
 
+async def maybe_redirect_download(adapter_instance, adapter_model, root: str, rel: str):
+    """若适配器启用了 307 直链，尝试构造重定向响应。"""
+    if not rel or rel.endswith('/'):
+        return None
+
+    config = getattr(adapter_model, "config", {}) or {}
+    if not config.get(DIRECT_REDIRECT_CONFIG_KEY):
+        return None
+
+    handler = getattr(adapter_instance, "get_direct_download_response", None)
+    if not callable(handler):
+        return None
+
+    try:
+        response = await handler(root, rel)
+    except FileNotFoundError:
+        raise
+    except Exception:
+        return None
+
+    if isinstance(response, Response):
+        return response
+    return None
+
+
 async def _ensure_method(adapter: Any, method: str):
     func = getattr(adapter, method, None)
     if not callable(func):
@@ -116,7 +143,7 @@ async def list_virtual_dir(path: str, page_num: int = 1, page_size: int = 50, so
     norm = (path if path.startswith('/') else '/' + path).rstrip('/') or '/'
     adapters = await StorageAdapter.filter(enabled=True)
 
-    child_mount_entries = []
+    child_mount_entries: List[str] = []
     norm_prefix = norm.rstrip('/')
     for a in adapters:
         if a.path == norm:
@@ -127,6 +154,28 @@ async def list_virtual_dir(path: str, page_num: int = 1, page_size: int = 50, so
                 child_mount_entries.append(tail)
     child_mount_entries = sorted(set(child_mount_entries))
 
+    sort_field = sort_by.lower()
+    reverse = sort_order.lower() == "desc"
+
+    def build_sort_key(item: Dict) -> Tuple:
+        key = (not bool(item.get("is_dir")),)
+        if sort_field == "name":
+            key += (str(item.get("name", "")).lower(),)
+        elif sort_field == "size":
+            key += (int(item.get("size", 0)),)
+        elif sort_field == "mtime":
+            key += (int(item.get("mtime", 0)),)
+        else:
+            key += (str(item.get("name", "")).lower(),)
+        return key
+
+    def annotate_entry(entry: Dict) -> None:
+        if not entry.get("is_dir"):
+            name = entry.get("name", "")
+            entry["has_thumbnail"] = bool(is_image_filename(name) or is_video_filename(name))
+        else:
+            entry["has_thumbnail"] = False
+
     try:
         adapter_model, rel = await resolve_adapter_by_path(norm)
         adapter_instance = runtime_registry.get(adapter_model.id)
@@ -146,57 +195,57 @@ async def list_virtual_dir(path: str, page_num: int = 1, page_size: int = 50, so
         effective_root = ''
         rel = ''
 
-    adapter_entries = []
+    adapter_entries_page: List[Dict] = []
+    adapter_entries_for_merge: List[Dict] = []
     adapter_total = 0
     covered = set()
 
     if adapter_model and adapter_instance:
         list_dir = await _ensure_method(adapter_instance, "list_dir")
         try:
-            adapter_entries, adapter_total = await list_dir(effective_root, rel, page_num, page_size, sort_by, sort_order)
+            adapter_entries_page, adapter_total = await list_dir(effective_root, rel, page_num, page_size, sort_by, sort_order)
         except NotADirectoryError:
             raise HTTPException(400, detail="Not a directory")
 
-        for item in adapter_entries:
+        adapter_entries_for_merge = adapter_entries_page
+
+        # 存在挂载节点且适配器结果被分页时，补齐完整列表以便合并排序
+        if child_mount_entries and adapter_total > len(adapter_entries_page):
+            full_page_size = adapter_total
+            if full_page_size > 0:
+                adapter_entries_for_merge, adapter_total = await list_dir(
+                    effective_root, rel, 1, full_page_size, sort_by, sort_order
+                )
+            else:
+                adapter_entries_for_merge = adapter_entries_page
+
+        for item in adapter_entries_for_merge:
             covered.add(item["name"])
 
     mount_entries = []
     for name in child_mount_entries:
         if name not in covered:
             mount_entries.append({"name": name, "is_dir": True,
-                                  "size": 0, "mtime": 0, "type": "mount", "is_image": False})
+                                  "size": 0, "mtime": 0, "type": "mount", "has_thumbnail": False})
 
-    for ent in adapter_entries:
-        if not ent.get('is_dir'):
-            ent['is_image'] = is_image_filename(ent['name'])
-        else:
-            ent['is_image'] = False
-
-    all_entries = adapter_entries + mount_entries
-    
     if mount_entries:
-        reverse = sort_order.lower() == "desc"
-        def get_sort_key(item):
-            key = (not item.get("is_dir"),)
-            sort_field = sort_by.lower()
-            if sort_field == "name":
-                key += (item["name"].lower(),)
-            elif sort_field == "size":
-                key += (item.get("size", 0),)
-            elif sort_field == "mtime":
-                key += (item.get("mtime", 0),)
-            else:
-                key += (item["name"].lower(),)
-            return key
-        all_entries.sort(key=get_sort_key, reverse=reverse)
-        
-        total_entries = adapter_total + len(mount_entries)
+        for ent in adapter_entries_for_merge:
+            annotate_entry(ent)
+        combined_entries = adapter_entries_for_merge + [
+            {**ent, "has_thumbnail": False} for ent in mount_entries
+        ]
+        combined_entries.sort(key=build_sort_key, reverse=reverse)
+
+        total_entries = len(combined_entries)
         start_idx = (page_num - 1) * page_size
         end_idx = start_idx + page_size
-        page_entries = all_entries[start_idx:end_idx]
+        page_entries = combined_entries[start_idx:end_idx]
         return page(page_entries, total_entries, page_num, page_size)
-    
-    return page(adapter_entries, adapter_total, page_num, page_size)
+
+    annotate_entry_list = adapter_entries_page or []
+    for ent in annotate_entry_list:
+        annotate_entry(ent)
+    return page(adapter_entries_page, adapter_total, page_num, page_size)
 
 
 async def read_file(path: str) -> Union[bytes, Any]:
@@ -258,7 +307,12 @@ async def write_file_stream(path: str, data_iter: AsyncIterator[bytes], overwrit
 async def make_dir(path: str):
     adapter_instance, _, root, rel = await resolve_adapter_and_rel(path)
     if not rel:
-        raise HTTPException(400, detail="Cannot create root")
+        await LogService.info(
+            "virtual_fs",
+            f"Ignored create-root request for {path}",
+            details={"path": path, "reason": "root directory already exists"},
+        )
+        return
     mkdir_func = await _ensure_method(adapter_instance, "mkdir")
     await mkdir_func(root, rel)
     await LogService.action("virtual_fs", f"Created directory {path}", details={"path": path})
@@ -437,7 +491,7 @@ async def rename_path(src: str, dst: str, overwrite: bool = False, return_debug:
 
 
 async def stream_file(path: str, range_header: str | None):
-    adapter_instance, _, root, rel = await resolve_adapter_and_rel(path)
+    adapter_instance, adapter_model, root, rel = await resolve_adapter_and_rel(path)
     if not rel or rel.endswith('/'):
         raise HTTPException(400, detail="Path is a directory")
     if is_raw_filename(rel):
@@ -470,6 +524,10 @@ async def stream_file(path: str, range_header: str | None):
         except Exception as e:
             raise HTTPException(500, detail=f"RAW file processing failed: {e}")
 
+    redirect_response = await maybe_redirect_download(adapter_instance, adapter_model, root, rel)
+    if redirect_response is not None:
+        return redirect_response
+
     stream_impl = getattr(adapter_instance, "stream_file", None)
     if callable(stream_impl):
         return await stream_impl(root, rel, range_header)
@@ -478,12 +536,81 @@ async def stream_file(path: str, range_header: str | None):
     return Response(content=data, media_type=mime or "application/octet-stream")
 
 
+async def _gather_vector_index(full_path: str, limit: int = 20):
+    """查询与文件相关的索引信息。失败时返回 None。"""
+    vector_db = VectorDBService()
+    try:
+        raw_results = await vector_db.search_by_path("vector_collection", full_path, max(limit * 2, 20))
+    except Exception:
+        return None
+
+    matched = []
+    if raw_results:
+        buckets = raw_results if isinstance(raw_results, list) else [raw_results]
+        for bucket in buckets:
+            if not bucket:
+                continue
+            for record in bucket:
+                entity = dict((record or {}).get("entity") or {})
+                source_path = entity.get("source_path") or entity.get("path") or ""
+                if source_path != full_path:
+                    continue
+                entry = {
+                    "chunk_id": str(entity.get("chunk_id")) if entity.get("chunk_id") is not None else None,
+                    "type": entity.get("type"),
+                    "mime": entity.get("mime"),
+                    "name": entity.get("name"),
+                    "start_offset": entity.get("start_offset"),
+                    "end_offset": entity.get("end_offset"),
+                    "vector_id": entity.get("vector_id"),
+                }
+                text = entity.get("text") or entity.get("description")
+                if text:
+                    preview_limit = 400
+                    entry["preview"] = text[:preview_limit]
+                    entry["preview_truncated"] = len(text) > preview_limit
+                matched.append(entry)
+
+    if not matched:
+        return {"total": 0, "entries": [], "by_type": {}, "has_more": False}
+
+    type_counts: Dict[str, int] = {}
+    for item in matched:
+        key = item.get("type") or "unknown"
+        type_counts[key] = type_counts.get(key, 0) + 1
+
+    has_more = len(matched) > limit
+    return {
+        "total": len(matched),
+        "entries": matched[:limit],
+        "by_type": type_counts,
+        "has_more": has_more,
+        "limit": limit,
+    }
+
+
 async def stat_file(path: str):
     adapter_instance, _, root, rel = await resolve_adapter_and_rel(path)
     stat_func = getattr(adapter_instance, "stat_file", None)
     if not callable(stat_func):
         raise HTTPException(501, detail="Adapter does not implement stat_file")
-    return await stat_func(root, rel)
+    info = await stat_func(root, rel)
+
+    if isinstance(info, dict):
+        info.setdefault("path", path)
+        try:
+            is_dir = bool(info.get("is_dir"))
+        except Exception:
+            is_dir = False
+        rel_name = rel.rstrip('/').split('/')[-1] if rel else path.rstrip('/').split('/')[-1]
+        name_hint = str(info.get("name") or rel_name or "")
+        info["has_thumbnail"] = bool(not is_dir and (is_image_filename(name_hint) or is_video_filename(name_hint)))
+        if not is_dir:
+            vector_index = await _gather_vector_index(path)
+            if vector_index is not None:
+                info["vector_index"] = vector_index
+
+    return info
 
 
 async def copy_path(

web/public/icon/claude-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>Claude</title><path d="M4.709 15.955l4.72-2.647.08-.23-.08-.128H9.2l-.79-.048-2.698-.073-2.339-.097-2.266-.122-.571-.121L0 11.784l.055-.352.48-.321.686.06 1.52.103 2.278.158 1.652.097 2.449.255h.389l.055-.157-.134-.098-.103-.097-2.358-1.596-2.552-1.688-1.336-.972-.724-.491-.364-.462-.158-1.008.656-.722.881.06.225.061.893.686 1.908 1.476 2.491 1.833.365.304.145-.103.019-.073-.164-.274-1.355-2.446-1.446-2.49-.644-1.032-.17-.619a2.97 2.97 0 01-.104-.729L6.283.134 6.696 0l.996.134.42.364.62 1.414 1.002 2.229 1.555 3.03.456.898.243.832.091.255h.158V9.01l.128-1.706.237-2.095.23-2.695.08-.76.376-.91.747-.492.584.28.48.685-.067.444-.286 1.851-.559 2.903-.364 1.942h.212l.243-.242.985-1.306 1.652-2.064.73-.82.85-.904.547-.431h1.033l.76 1.129-.34 1.166-1.064 1.347-.881 1.142-1.264 1.7-.79 1.36.073.11.188-.02 2.856-.606 1.543-.28 1.841-.315.833.388.091.395-.328.807-1.969.486-2.309.462-3.439.813-.042.03.049.061 1.549.146.662.036h1.622l3.02.225.79.522.474.638-.079.485-1.215.62-1.64-.389-3.829-.91-1.312-.329h-.182v.11l1.093 1.068 2.006 1.81 2.509 2.33.127.578-.322.455-.34-.049-2.205-1.657-.851-.747-1.926-1.62h-.128v.17l.444.649 2.345 3.521.122 1.08-.17.353-.608.213-.668-.122-1.374-1.925-1.415-2.167-1.143-1.943-.14.08-.674 7.254-.316.37-.729.28-.607-.461-.322-.747.322-1.476.389-1.924.315-1.53.286-1.9.17-.632-.012-.042-.14.018-1.434 1.967-2.18 2.945-1.726 1.845-.414.164-.717-.37.067-.662.401-.589 2.388-3.036 1.44-1.882.93-1.086-.006-.158h-.055L4.132 18.56l-1.13.146-.487-.456.061-.746.231-.243 1.908-1.312-.006.006z" fill="#D97757" fill-rule="nonzero"></path></svg>

web/public/icon/deepseek-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>DeepSeek</title><path d="M23.748 4.482c-.254-.124-.364.113-.512.234-.051.039-.094.09-.137.136-.372.397-.806.657-1.373.626-.829-.046-1.537.214-2.163.848-.133-.782-.575-1.248-1.247-1.548-.352-.156-.708-.311-.955-.65-.172-.241-.219-.51-.305-.774-.055-.16-.11-.323-.293-.35-.2-.031-.278.136-.356.276-.313.572-.434 1.202-.422 1.84.027 1.436.633 2.58 1.838 3.393.137.093.172.187.129.323-.082.28-.18.552-.266.833-.055.179-.137.217-.329.14a5.526 5.526 0 01-1.736-1.18c-.857-.828-1.631-1.742-2.597-2.458a11.365 11.365 0 00-.689-.471c-.985-.957.13-1.743.388-1.836.27-.098.093-.432-.779-.428-.872.004-1.67.295-2.687.684a3.055 3.055 0 01-.465.137 9.597 9.597 0 00-2.883-.102c-1.885.21-3.39 1.102-4.497 2.623C.082 8.606-.231 10.684.152 12.85c.403 2.284 1.569 4.175 3.36 5.653 1.858 1.533 3.997 2.284 6.438 2.14 1.482-.085 3.133-.284 4.994-1.86.47.234.962.327 1.78.397.63.059 1.236-.03 1.705-.128.735-.156.684-.837.419-.961-2.155-1.004-1.682-.595-2.113-.926 1.096-1.296 2.746-2.642 3.392-7.003.05-.347.007-.565 0-.845-.004-.17.035-.237.23-.256a4.173 4.173 0 001.545-.475c1.396-.763 1.96-2.015 2.093-3.517.02-.23-.004-.467-.247-.588zM11.581 18c-2.089-1.642-3.102-2.183-3.52-2.16-.392.024-.321.471-.235.763.09.288.207.486.371.739.114.167.192.416-.113.603-.673.416-1.842-.14-1.897-.167-1.361-.802-2.5-1.86-3.301-3.307-.774-1.393-1.224-2.887-1.298-4.482-.02-.386.093-.522.477-.592a4.696 4.696 0 011.529-.039c2.132.312 3.946 1.265 5.468 2.774.868.86 1.525 1.887 2.202 2.891.72 1.066 1.494 2.082 2.48 2.914.348.292.625.514.891.677-.802.09-2.14.11-3.054-.614zm1-6.44a.306.306 0 01.415-.287.302.302 0 01.2.288.306.306 0 01-.31.307.303.303 0 01-.304-.308zm3.11 1.596c-.2.081-.399.151-.59.16a1.245 1.245 0 01-.798-.254c-.274-.23-.47-.358-.552-.758a1.73 1.73 0 01.016-.588c.07-.327-.008-.537-.239-.727-.187-.156-.426-.199-.688-.199a.559.559 0 01-.254-.078c-.11-.054-.2-.19-.114-.358.028-.054.16-.186.192-.21.356-.202.767-.136 1.146.016.352.144.618.408 1.001.782.391.451.462.576.685.914.176.265.336.537.445.848.067.195-.019.354-.25.452z" fill="#4D6BFE"></path></svg>

web/public/icon/gemini-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>Gemini</title><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="#3186FF"></path><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="url(#lobe-icons-gemini-fill-0)"></path><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="url(#lobe-icons-gemini-fill-1)"></path><path d="M20.616 10.835a14.147 14.147 0 01-4.45-3.001 14.111 14.111 0 01-3.678-6.452.503.503 0 00-.975 0 14.134 14.134 0 01-3.679 6.452 14.155 14.155 0 01-4.45 3.001c-.65.28-1.318.505-2.002.678a.502.502 0 000 .975c.684.172 1.35.397 2.002.677a14.147 14.147 0 014.45 3.001 14.112 14.112 0 013.679 6.453.502.502 0 00.975 0c.172-.685.397-1.351.677-2.003a14.145 14.145 0 013.001-4.45 14.113 14.113 0 016.453-3.678.503.503 0 000-.975 13.245 13.245 0 01-2.003-.678z" fill="url(#lobe-icons-gemini-fill-2)"></path><defs><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-gemini-fill-0" x1="7" x2="11" y1="15.5" y2="12"><stop stop-color="#08B962"></stop><stop offset="1" stop-color="#08B962" stop-opacity="0"></stop></linearGradient><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-gemini-fill-1" x1="8" x2="11.5" y1="5.5" y2="11"><stop stop-color="#F94543"></stop><stop offset="1" stop-color="#F94543" stop-opacity="0"></stop></linearGradient><linearGradient gradientUnits="userSpaceOnUse" id="lobe-icons-gemini-fill-2" x1="3.5" x2="17.5" y1="13.5" y2="12"><stop stop-color="#FABC12"></stop><stop offset=".46" stop-color="#FABC12" stop-opacity="0"></stop></linearGradient></defs></svg>

web/public/icon/openai.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>OpenAI</title><path d="M21.55 10.004a5.416 5.416 0 00-.478-4.501c-1.217-2.09-3.662-3.166-6.05-2.66A5.59 5.59 0 0010.831 1C8.39.995 6.224 2.546 5.473 4.838A5.553 5.553 0 001.76 7.496a5.487 5.487 0 00.691 6.5 5.416 5.416 0 00.477 4.502c1.217 2.09 3.662 3.165 6.05 2.66A5.586 5.586 0 0013.168 23c2.443.006 4.61-1.546 5.361-3.84a5.553 5.553 0 003.715-2.66 5.488 5.488 0 00-.693-6.497v.001zm-8.381 11.558a4.199 4.199 0 01-2.675-.954c.034-.018.093-.05.132-.074l4.44-2.53a.71.71 0 00.364-.623v-6.176l1.877 1.069c.02.01.033.029.036.05v5.115c-.003 2.274-1.87 4.118-4.174 4.123zM4.192 17.78a4.059 4.059 0 01-.498-2.763c.032.02.09.055.131.078l4.44 2.53c.225.13.504.13.73 0l5.42-3.088v2.138a.068.068 0 01-.027.057L9.9 19.288c-1.999 1.136-4.552.46-5.707-1.51h-.001zM3.023 8.216A4.15 4.15 0 015.198 6.41l-.002.151v5.06a.711.711 0 00.364.624l5.42 3.087-1.876 1.07a.067.067 0 01-.063.005l-4.489-2.559c-1.995-1.14-2.679-3.658-1.53-5.63h.001zm15.417 3.54l-5.42-3.088L14.896 7.6a.067.067 0 01.063-.006l4.489 2.557c1.998 1.14 2.683 3.662 1.529 5.633a4.163 4.163 0 01-2.174 1.807V12.38a.71.71 0 00-.363-.623zm1.867-2.773a6.04 6.04 0 00-.132-.078l-4.44-2.53a.731.731 0 00-.729 0l-5.42 3.088V7.325a.068.068 0 01.027-.057L14.1 4.713c2-1.137 4.555-.46 5.707 1.513.487.833.664 1.809.499 2.757h.001zm-11.741 3.81l-1.877-1.068a.065.065 0 01-.036-.051V6.559c.001-2.277 1.873-4.122 4.181-4.12.976 0 1.92.338 2.671.954-.034.018-.092.05-.131.073l-4.44 2.53a.71.71 0 00-.365.623l-.003 6.173v.002zm1.02-2.168L12 9.25l2.414 1.375v2.75L12 14.75l-2.415-1.375v-2.75z"></path></svg>

web/public/icon/siliconcloud-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>SiliconCloud</title><path clip-rule="evenodd" d="M22.956 6.521H12.522c-.577 0-1.044.468-1.044 1.044v3.13c0 .577-.466 1.044-1.043 1.044H1.044c-.577 0-1.044.467-1.044 1.044v4.174C0 17.533.467 18 1.044 18h10.434c.577 0 1.044-.467 1.044-1.043v-3.13c0-.578.466-1.044 1.043-1.044h9.391c.577 0 1.044-.467 1.044-1.044V7.565c0-.576-.467-1.044-1.044-1.044z" fill="#6E29F6" fill-rule="evenodd"></path></svg>

web/src/api/adapters.ts

@@ -13,7 +13,7 @@ export interface AdapterItem {
 export interface AdapterTypeField {
   key: string;
   label: string;
-  type: 'string' | 'password' | 'number';
+  type: 'string' | 'password' | 'number' | 'boolean';
   required?: boolean;
   placeholder?: string;
   default?: any;

web/src/api/aiProviders.ts

@@ -0,0 +1,89 @@
+import request from './client';
+
+export type AIAbility = 'chat' | 'vision' | 'embedding' | 'rerank' | 'voice' | 'tools';
+
+export interface AIProviderPayload {
+  name: string;
+  identifier: string;
+  provider_type?: string | null;
+  api_format: 'openai' | 'gemini';
+  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'> {
+  id: number;
+  extra_config: Record<string, unknown>;
+  created_at: string;
+  updated_at: string;
+  models?: AIModel[];
+}
+
+export interface AIModelPayload {
+  name: string;
+  display_name?: string | null;
+  description?: string | null;
+  capabilities?: AIAbility[];
+  context_window?: number | null;
+  embedding_dimensions?: number | null;
+  metadata?: Record<string, unknown> | null;
+}
+
+export interface AIModel extends Omit<AIModelPayload, 'metadata'> {
+  id: number;
+  provider_id: number;
+  metadata: Record<string, unknown>;
+  created_at: string;
+  updated_at: string;
+  provider?: AIProvider;
+}
+
+export type AIDefaultAssignments = Partial<Record<AIAbility, number | null>>;
+export type AIDefaultModels = Partial<Record<AIAbility, AIModel | null>>;
+
+export async function fetchProviders() {
+  const data = await request<{ providers: AIProvider[] }>('/ai/providers');
+  return data.providers;
+}
+
+export async function createProvider(payload: AIProviderPayload) {
+  return request<AIProvider>('/ai/providers', { method: 'POST', json: payload });
+}
+
+export async function updateProvider(id: number, payload: Partial<AIProviderPayload>) {
+  return request<AIProvider>(`/ai/providers/${id}`, { method: 'PUT', json: payload });
+}
+
+export async function deleteProvider(id: number) {
+  await request(`/ai/providers/${id}`, { method: 'DELETE' });
+}
+
+export async function syncProviderModels(id: number) {
+  return request<{ created: number; updated: number }>(`/ai/providers/${id}/sync-models`, { method: 'POST' });
+}
+
+export async function fetchRemoteModels(providerId: number) {
+  return request<{ models: AIModelPayload[] }>(`/ai/providers/${providerId}/remote-models`);
+}
+
+export async function createModel(providerId: number, payload: AIModelPayload) {
+  return request<AIModel>(`/ai/providers/${providerId}/models`, { method: 'POST', json: payload });
+}
+
+export async function updateModel(modelId: number, payload: Partial<AIModelPayload>) {
+  return request<AIModel>(`/ai/models/${modelId}`, { method: 'PUT', json: payload });
+}
+
+export async function deleteModel(modelId: number) {
+  await request(`/ai/models/${modelId}`, { method: 'DELETE' });
+}
+
+export async function fetchDefaults() {
+  return request<AIDefaultModels>('/ai/defaults');
+}
+
+export async function updateDefaults(payload: AIDefaultAssignments) {
+  return request<AIDefaultModels>('/ai/defaults', { method: 'PUT', json: payload });
+}

web/src/api/processors.ts

@@ -34,6 +34,18 @@ export const processorsApi = {
       method: 'POST',
       json: params,
     }),
+  processDirectory: (params: {
+    path: string;
+    processor_type: string;
+    config: any;
+    overwrite: boolean;
+    max_depth?: number | null;
+    suffix?: string | null;
+  }) =>
+    request<{ task_ids: string[]; scheduled: number }>('/processors/process-directory', {
+      method: 'POST',
+      json: params,
+    }),
   getSource: (type: string) =>
     request<{ source: string; module_path: string }>('/processors/source/' + encodeURIComponent(type), {
       method: 'GET',

web/src/api/vfs.ts

@@ -6,7 +6,7 @@ export interface VfsEntry {
   size: number;
   mtime: number;
   type?: string; 
-  is_image?: boolean;
+  has_thumbnail?: boolean;
 }
 
 export interface DirListing {
@@ -21,9 +21,29 @@ export interface DirListing {
 }
 
 export interface SearchResultItem {
-  id: number;
+  id: string;
   path: string;
   score: number;
+  chunk_id?: string;
+  snippet?: string;
+  mime?: string;
+  source_type?: string;
+  start_offset?: number;
+  end_offset?: number;
+  metadata?: Record<string, any>;
+}
+
+export interface SearchPagination {
+  page: number;
+  page_size: number;
+  has_more: boolean;
+}
+
+export interface SearchResponse {
+  items: SearchResultItem[];
+  query: string;
+  mode?: string;
+  pagination?: SearchPagination;
 }
 
 export const vfsApi = {
@@ -105,6 +125,20 @@ export const vfsApi = {
       xhr.send(fd);
     });
   },
-  searchFiles: (q: string, top_k: number = 10, mode: 'vector' | 'filename' = 'vector') =>
-    request<{ items: SearchResultItem[]; query: string }>(`/search?q=${encodeURIComponent(q)}&top_k=${top_k}&mode=${mode}`),
+  searchFiles: (
+    q: string,
+    top_k: number = 10,
+    mode: 'vector' | 'filename' = 'vector',
+    page?: number,
+    page_size?: number,
+  ) => {
+    const params = new URLSearchParams({
+      q,
+      top_k: String(top_k),
+      mode,
+    });
+    if (page !== undefined) params.set('page', String(page));
+    if (page_size !== undefined) params.set('page_size', String(page_size));
+    return request<SearchResponse>(`/search?${params.toString()}`);
+  },
 };

web/src/apps/ImageViewer/ImageViewer.tsx

@@ -54,8 +54,8 @@ const DEFAULT_TONE: RgbColor = { r: 28, g: 32, b: 46 };
 
 const isImageEntry = (ent: VfsEntry) => {
   if (ent.is_dir) return false;
-  const maybe = ent as VfsEntry & { is_image?: boolean };
-  if (typeof maybe.is_image === 'boolean' && maybe.is_image) return true;
+  const maybe = ent as VfsEntry & { has_thumbnail?: boolean };
+  if (typeof maybe.has_thumbnail === 'boolean' && maybe.has_thumbnail) return true;
   const ext = ent.name.split('.').pop()?.toLowerCase();
   if (!ext) return false;
   return ['png', 'jpg', 'jpeg', 'gif', 'webp', 'bmp', 'avif', 'ico', 'tif', 'tiff', 'svg', 'heic', 'heif', 'arw', 'cr2', 'cr3', 'nef', 'rw2', 'orf', 'pef', 'dng'].includes(ext);

web/src/apps/TextEditor/TextEditor.tsx

@@ -24,27 +24,124 @@ export const TextEditorApp: React.FC<AppComponentProps> = ({ filePath, entry, on
   const isMarkdown = ext === 'md' || ext === 'markdown';
   const monacoLanguage = useMemo(() => {
     switch (ext) {
-      case 'json':
-        return 'json';
+      // Web technologies
       case 'js':
+      case 'jsx':
         return 'javascript';
       case 'ts':
+      case 'tsx':
         return 'typescript';
       case 'html':
+      case 'htm':
         return 'html';
       case 'css':
         return 'css';
-      case 'py':
-        return 'python';
-      case 'sh':
-        return 'shell';
+      case 'scss':
+      case 'sass':
+        return 'scss';
+      case 'less':
+        return 'less';
+      case 'vue':
+        return 'html'; // Vue files are primarily HTML with some JS/TS
+      
+      // Data formats
+      case 'json':
+        return 'json';
       case 'yaml':
       case 'yml':
         return 'yaml';
       case 'xml':
         return 'xml';
+      case 'toml':
+        return 'ini'; // TOML is similar to INI
+      case 'ini':
+      case 'cfg':
+      case 'conf':
+        return 'ini';
+      
+      // Programming languages
+      case 'py':
+        return 'python';
+      case 'java':
+        return 'java';
+      case 'c':
+        return 'c';
+      case 'cpp':
+      case 'cc':
+      case 'cxx':
+        return 'cpp';
+      case 'h':
+      case 'hpp':
+      case 'hxx':
+        return 'cpp'; // Header files use C++ highlighting
+      case 'php':
+        return 'php';
+      case 'rb':
+        return 'ruby';
+      case 'go':
+        return 'go';
+      case 'rs':
+        return 'rust';
+      case 'swift':
+        return 'swift';
+      case 'kt':
+        return 'kotlin';
+      case 'scala':
+        return 'scala';
+      case 'cs':
+        return 'csharp';
+      case 'fs':
+        return 'fsharp';
+      case 'vb':
+        return 'vb';
+      case 'pl':
+      case 'pm':
+        return 'perl';
+      case 'r':
+        return 'r';
+      case 'lua':
+        return 'lua';
+      case 'dart':
+        return 'dart';
+      
+      // Database
+      case 'sql':
+        return 'sql';
+      
+      // Shell and scripts
+      case 'sh':
+      case 'bash':
+      case 'zsh':
+      case 'fish':
+        return 'shell';
+      case 'ps1':
+        return 'powershell';
+      case 'bat':
+      case 'cmd':
+        return 'bat';
+      
+      // Build and config files
+      case 'dockerfile':
+        return 'dockerfile';
+      case 'makefile':
+        return 'makefile';
+      case 'gradle':
+        return 'groovy';
+      case 'cmake':
+        return 'cmake';
+      
+      // Markdown
+      case 'md':
+      case 'markdown':
+        return 'markdown';
+      
+      // Plain text and logs
       case 'txt':
       case 'log':
+      case 'gitignore':
+      case 'gitattributes':
+      case 'editorconfig':
+      case 'prettierrc':
       default:
         return 'plaintext';
     }

web/src/apps/TextEditor/index.ts

@@ -8,8 +8,27 @@ export const descriptor: AppDescriptor = {
   supported: (entry) => {
     if (entry.is_dir) return false;
     const ext = entry.name.split('.').pop()?.toLowerCase() || '';
-    // Supports common text and markdown formats
-    return ['txt', 'md', 'markdown', 'json', 'yaml', 'yml', 'xml', 'html', 'css', 'js', 'ts', 'py', 'sh', 'log'].includes(ext);
+    // Supports common text and code formats
+    return [
+      // Text formats
+      'txt', 'md', 'markdown', 'log',
+      // Data formats
+      'json', 'yaml', 'yml', 'xml', 'toml', 'ini', 'cfg', 'conf',
+      // Web technologies
+      'html', 'htm', 'css', 'scss', 'sass', 'less', 'js', 'jsx', 'ts', 'tsx', 'vue',
+      // Programming languages
+      'py', 'java', 'c', 'cpp', 'cc', 'cxx', 'h', 'hpp', 'hxx',
+      'php', 'rb', 'go', 'rs', 'swift', 'kt', 'scala', 'clj', 'cljs',
+      'cs', 'vb', 'fs', 'pl', 'pm', 'r', 'lua', 'dart', 'elm',
+      // Database
+      'sql',
+      // Shell and scripts
+      'sh', 'bash', 'zsh', 'fish', 'ps1', 'bat', 'cmd',
+      // Build and config files
+      'dockerfile', 'makefile', 'gradle', 'cmake',
+      // Other common text files
+      'gitignore', 'gitattributes', 'editorconfig', 'prettierrc'
+    ].includes(ext);
   },
   component: TextEditorApp,
   default: true,

web/src/components/WeChatModal.tsx

@@ -0,0 +1,26 @@
+import { Modal, theme } from 'antd';
+import { useI18n } from '../i18n';
+
+export interface WeChatModalProps {
+  open: boolean;
+  onClose: () => void;
+}
+
+export default function WeChatModal({ open, onClose }: WeChatModalProps) {
+  const { token } = theme.useToken();
+  const { t } = useI18n();
+
+  return (
+    <Modal open={open} onCancel={onClose} title={t('Join Community')} footer={null} width={320}>
+      <div style={{ textAlign: 'center', padding: '12px 0' }}>
+        <img src="https://foxel.cc/image/wechat.png" width={200} alt="wechat" />
+        <div style={{ marginTop: 12, color: token.colorTextSecondary }}>
+          {t('Scan to join WeChat group')}
+        </div>
+        <div style={{ marginTop: 8, fontSize: 12, color: token.colorTextTertiary }}>
+          {t('If QR expires, add drizzle2001 to join')}
+        </div>
+      </div>
+    </Modal>
+  );
+}

web/src/i18n/locales/en.ts

@@ -127,6 +127,8 @@ export const en = {
 
   // Context menu
   'Upload File': 'Upload File',
+  'Upload Files': 'Upload Files',
+  'Upload Folder': 'Upload Folder',
   'Open': 'Open',
   'Open With': 'Open With',
   'Default': 'Default',
@@ -137,6 +139,31 @@ export const en = {
   'Details': 'Details',
   'Get Direct Link': 'Get Direct Link',
 
+  // Upload modal
+  'Total progress': 'Total progress',
+  'Upload bytes summary': '{uploaded} / {total}',
+  'Upload task summary': 'Tasks: {completed} / {total} completed, {pending} pending, {failures} failed',
+  'Overwrite confirmation required': 'Overwrite confirmation required',
+  'Target already exists: {path}': 'Target already exists: {path}',
+  'Overwrite': 'Overwrite',
+  'Skip': 'Skip',
+  'Overwrite All': 'Overwrite All',
+  'Skip All': 'Skip All',
+  'Directory': 'Directory',
+  'Creating directory...': 'Creating directory...',
+  'Directory ready': 'Directory ready',
+  'Create directory failed': 'Create directory failed',
+  'Waiting to create': 'Waiting to create',
+  'Waiting for overwrite decision': 'Waiting for overwrite decision',
+  'Waiting to upload': 'Waiting to upload',
+  'Skipped': 'Skipped',
+  'Upload succeeded': 'Upload succeeded',
+  'Upload failed': 'Upload failed',
+  'No items selected for upload': 'No items selected for upload',
+  'No uploadable files or directories found': 'No uploadable files or directories found',
+  'Missing file content': 'Missing file content',
+  'Directory conflicts with existing file': 'A file with the same name already exists at the target location',
+
   // Side nav modals
   'Join Community': 'Join Community',
   'Scan to join WeChat group': 'Scan to join WeChat group',
@@ -220,6 +247,17 @@ export const en = {
   'Copy failed': 'Copy failed',
   'Permissions': 'Permissions',
   'EXIF Info': 'EXIF Info',
+  'Index Info': 'Index Info',
+  'Indexed Items': 'Indexed Items',
+  'Indexed Types': 'Indexed Types',
+  'No index data': 'No index data',
+  'Indexed Chunks': 'Indexed Chunks',
+  'More Indexed Chunks': 'More Indexed Chunks',
+  'Chunk ID': 'Chunk ID',
+  'Offset Range': 'Offset Range',
+  'Vector ID': 'Vector ID',
+  'Preview': 'Preview',
+  'Showing first {count} entries': 'Showing first {count} entries',
 
   // Search dialog
   'Smart Search': 'Smart Search',
@@ -296,6 +334,89 @@ export const en = {
   'Vision API Key': 'Vision API Key',
   'Embedding API URL': 'Embedding API URL',
   'Embedding API Key': 'Embedding API Key',
+  'AI Providers & Models': 'AI Providers & Models',
+  'Manage AI providers, synchronize compatible models, and configure default capabilities across the system.': 'Manage AI providers, synchronize compatible models, and configure default capabilities across the system.',
+  'Add Provider': 'Add Provider',
+  'Edit Provider': 'Edit Provider',
+  'Pull Models': 'Pull Models',
+  'Manual Add': 'Manual Add',
+  'Clear Remote List': 'Clear Remote List',
+  'Select models from the list to add them automatically': 'Select models from the list to add them automatically',
+  'No remote models': 'No remote models',
+  'No remote models found': 'No remote models found',
+  'No remote models match search': 'No remote models match search',
+  'Search fetched models': 'Search fetched models',
+  'Already Added': 'Already Added',
+  'Add Selected Models': 'Add Selected Models',
+  'Fetch failed': 'Fetch failed',
+  'Select models to add': 'Select models to add',
+  'Added {count} models': 'Added {count} models',
+  'Choose Template': 'Choose Template',
+  'Configure Provider': 'Configure Provider',
+  'Back to Templates': 'Back to Templates',
+  'View Docs': 'View Docs',
+  '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.',
+  'Azure OpenAI Provider': 'Azure OpenAI',
+  'Azure OpenAI Provider Description': 'Use OpenAI models deployed on Microsoft Azure.',
+  'Google AI Provider': 'Google AI',
+  'Google AI Provider Description': 'Gemini series models served via the Google AI platform.',
+  'SiliconFlow Provider': 'SiliconFlow',
+  'SiliconFlow Provider Description': 'High-performance inference platform with OpenAI-compatible APIs.',
+  '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.',
+  '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.',
+  'Voyage Provider': 'Voyage AI',
+  'Voyage Provider Description': 'High-quality embeddings and rerankers from Voyage AI.',
+  'Delete provider?': 'Delete provider?',
+  'Deleting this provider will also remove all associated models. Continue?': 'Deleting this provider will also remove all associated models. Continue?',
+  'Deleted successfully': 'Deleted successfully',
+  'Sync Models': 'Sync Models',
+  'Sync completed: {created} created, {updated} updated': 'Sync completed: {created} created, {updated} updated',
+  'Sync failed': 'Sync failed',
+  'Add Model': 'Add Model',
+  'Edit Model': 'Edit Model',
+  'Delete model?': 'Delete model?',
+  'This operation cannot be undone. Continue?': 'This operation cannot be undone. Continue?',
+  'No models yet': 'No models yet',
+  'Add your first AI provider to get started': 'Add your first AI provider to get started',
+  'Default Models Configuration': 'Default Models Configuration',
+  'Main Chat Model': 'Main Chat Model',
+  'Primary assistant for conversations, reasoning, and tool calls.': 'Primary assistant for conversations, reasoning, and tool calls.',
+  'Handles multimodal perception such as image understanding.': 'Handles multimodal perception such as image understanding.',
+  'Transforms content into dense vectors for search and retrieval.': 'Transforms content into dense vectors for search and retrieval.',
+  'Optimises ranking quality for search candidates.': 'Optimises ranking quality for search candidates.',
+  'Covers text-to-speech and speech understanding scenarios.': 'Covers text-to-speech and speech understanding scenarios.',
+  'Supports function calling, orchestration, and automation.': 'Supports function calling, orchestration, and automation.',
+  'Select a model': 'Select a model',
+  'Template': 'Template',
+  'Select a template': 'Select a template',
+  'Display Name': 'Display Name',
+  'Enter name': 'Enter name',
+  'Identifier': 'Identifier',
+  'Enter identifier': 'Enter identifier',
+  'Only lowercase letters, numbers, dash, dot and underscore are allowed': 'Only lowercase letters, numbers, dash, dot and underscore are allowed',
+  'API Format': 'API Format',
+  'Base URL': 'Base URL',
+  'Enter base url': 'Enter base URL',
+  'Optional, can also be provided per request': 'Optional, can also be provided per request',
+  'Model Identifier': 'Model Identifier',
+  'Enter model identifier': 'Enter model identifier',
+  'Description': 'Description',
+  'Capabilities': 'Capabilities',
+  'Context Window': 'Context Window',
+  'Embedding Dimensions': 'Embedding Dimensions',
+  'Price /1K input tokens': 'Price /1K input tokens',
+  'Price /1K output tokens': 'Price /1K output tokens',
 
   // Adapters
   'Missing required config:': 'Missing required config:',
@@ -471,6 +592,7 @@ export const en = {
   'Root Directory': 'Root Directory',
   'Please input root directory!': 'Please input root directory!',
   'e.g., data/ or /var/foxel/data': 'e.g., data/ or /var/foxel/data',
+  'Optional, used for external links. Leave empty to use the current site.': 'Optional, used for external links. Leave empty to use the current site.',
   'Create Admin': 'Create Admin',
   'Create admin account': 'Create admin account',
   'This is the first account with full permissions': 'This is the first account with full permissions',

web/src/i18n/locales/zh.ts

@@ -129,6 +129,8 @@ export const zh = {
 
   // Context menu
   'Upload File': '上传文件',
+  'Upload Files': '上传文件',
+  'Upload Folder': '上传文件夹',
   'Open': '打开',
   'Open With': '打开方式',
   'Default': '默认',
@@ -139,6 +141,31 @@ export const zh = {
   'Details': '详情',
   'Get Direct Link': '获取直链',
 
+  // Upload modal
+  'Total progress': '总体进度',
+  'Upload bytes summary': '{uploaded} / {total}',
+  'Upload task summary': '任务：已完成 {completed} / {total}，待处理 {pending}，失败 {failures}',
+  'Overwrite confirmation required': '需要确认是否覆盖',
+  'Target already exists: {path}': '目标已存在：{path}',
+  'Overwrite': '覆盖',
+  'Skip': '跳过',
+  'Overwrite All': '全部覆盖',
+  'Skip All': '全部跳过',
+  'Directory': '目录',
+  'Creating directory...': '正在创建目录...',
+  'Directory ready': '目录已就绪',
+  'Create directory failed': '创建目录失败',
+  'Waiting to create': '等待创建',
+  'Waiting for overwrite decision': '等待覆盖处理',
+  'Waiting to upload': '等待上传',
+  'Skipped': '已跳过',
+  'Upload succeeded': '上传成功',
+  'Upload failed': '上传失败',
+  'No items selected for upload': '未选择任何可上传项',
+  'No uploadable files or directories found': '未找到可上传的文件或目录',
+  'Missing file content': '缺少文件内容',
+  'Directory conflicts with existing file': '目标存在同名文件，无法创建目录',
+
   // Side nav modals
   'Join Community': '加入社区',
   'Scan to join WeChat group': '微信扫码加入交流群',
@@ -220,6 +247,17 @@ export const zh = {
   'Copy failed': '复制失败',
   'Permissions': '权限',
   'EXIF Info': 'EXIF信息',
+  'Index Info': '索引信息',
+  'Indexed Items': '索引条目数',
+  'Indexed Types': '索引类型统计',
+  'No index data': '暂无索引数据',
+  'Indexed Chunks': '索引条目',
+  'More Indexed Chunks': '更多索引条目',
+  'Chunk ID': '分片ID',
+  'Offset Range': '偏移范围',
+  'Vector ID': '向量ID',
+  'Preview': '内容预览',
+  'Showing first {count} entries': '仅展示前 {count} 条',
 
   // Search dialog
   'Smart Search': '智能搜索',
@@ -248,6 +286,10 @@ export const zh = {
   'Save': '保存',
   'App Settings': '应用设置',
   'AI Settings': 'AI设置',
+  'Choose Template': '选择模板',
+  'Configure Provider': '配置提供商',
+  'Back to Templates': '返回选择',
+  'View Docs': '查看文档',
   'Vision Model': '视觉模型',
   'Embedding Model': '嵌入模型',
   'Embedding Dimension': '向量维度',
@@ -297,6 +339,85 @@ export const zh = {
   'Vision API Key': '视觉模型 API Key',
   'Embedding API URL': '嵌入模型 API 地址',
   'Embedding API Key': '嵌入模型 API Key',
+  'AI Providers & Models': 'AI 提供商与模型',
+  'Manage AI providers, synchronize compatible models, and configure default capabilities across the system.': '管理所有 AI 提供商，批量同步兼容模型，并配置系统默认能力。',
+  'Add Provider': '添加提供商',
+  'Edit Provider': '编辑提供商',
+  'Pull Models': '拉取模型',
+  'Manual Add': '手动添加',
+  'Clear Remote List': '清空列表',
+  'Select models from the list to add them automatically': '选择模型后可一键添加到系统',
+  'No remote models': '暂无远程模型',
+  'No remote models found': '未获取到远程模型',
+  'No remote models match search': '没有匹配的远程模型',
+  'Search fetched models': '搜索已拉取模型',
+  'Already Added': '已添加',
+  'Add Selected Models': '添加所选模型',
+  'Fetch failed': '拉取失败',
+  'Select models to add': '请选择要添加的模型',
+  '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': 'OpenAI',
+  'OpenAI Provider Description': '访问 OpenAI 的 GPT-4o、GPT-4.1、GPT-3.5 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': 'OpenRouter',
+  'OpenRouter Provider Description': '通过一个 OpenAI 风格入口接入多家 AI 提供商。',
+  'Anthropic Provider': 'Anthropic',
+  'Anthropic Provider Description': '通过 Claude API 使用 Claude 3 系列模型。',
+  'DeepSeek Provider': 'DeepSeek',
+  'DeepSeek Provider Description': 'DeepSeek 语言模型，支持 OpenAI 兼容接口。',
+  'Grok Provider': 'Grok (xAI)',
+  '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': 'Voyage AI',
+  '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？',
+  'Deleting this provider will also remove all associated models. Continue?': '删除后将同时移除该提供商下的全部模型，是否继续？',
+  'Deleted successfully': '删除成功',
+  'Sync Models': '同步模型',
+  'Sync completed: {created} created, {updated} updated': '同步完成：新增 {created} 个，更新 {updated} 个',
+  'Sync failed': '同步失败',
+  'Add Model': '添加模型',
+  'Edit Model': '编辑模型',
+  'Delete model?': '确认删除该模型？',
+  'This operation cannot be undone. Continue?': '此操作不可撤销，是否继续？',
+  'No models yet': '暂无模型',
+  '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',
+  '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。',
+  'Optimises ranking quality for search candidates.': '重新排序候选结果，提升检索相关性。',
+  'Covers text-to-speech and speech understanding scenarios.': '覆盖文本转语音与语音理解场景。',
+  'Supports function calling, orchestration, and automation.': '支持函数调用、编排与自动化。',
+  'Select a model': '选择模型',
+  'Template': '模板',
+  'Select a template': '选择模板',
+  'Display Name': '显示名称',
+  'Enter name': '请输入名称',
+  'Identifier': '标识符',
+  'Enter identifier': '请输入标识符',
+  'Only lowercase letters, numbers, dash, dot and underscore are allowed': '仅允许小写字母、数字、连字符、点和下划线',
+  'API Format': 'API 格式',
+  'Base URL': '基础 URL',
+  'Enter base url': '请输入基础 URL',
+  'Optional, can also be provided per request': '可选，也可在请求时提供',
+  'Model Identifier': '模型标识',
+  'Enter model identifier': '请输入模型标识',
+  'Description': '描述',
+  'Capabilities': '能力标签',
+  'Context Window': '上下文窗口',
+  'Embedding Dimensions': '向量维度',
+  'Price /1K input tokens': '价格 /1K 输入 token',
+  'Price /1K output tokens': '价格 /1K 输出 token',
 
   // Adapters
   'Missing required config:': '缺少必填配置:',
@@ -418,6 +539,17 @@ export const zh = {
   'Source Editor': '源码编辑',
   'Module Path': '模块路径',
   'Directory processing always overwrites original files': '选择目录时会强制覆盖原文件',
+  'Directory execution will enqueue one task per file': '目录模式会为每个文件单独创建任务',
+  'Directory scope': '目录范围',
+  'Current level only': '仅当前层级',
+  'Include subdirectories': '包含子目录',
+  'Max depth': '最大层级',
+  'Leave empty to traverse all subdirectories': '留空表示遍历所有子目录',
+  'Depth must be greater or equal to 0': '层级必须大于或等于 0',
+  'Output suffix': '输出后缀',
+  'Suffix will be inserted before the file extension, e.g. demo_processed.mp4': '后缀会插入到文件扩展名前，例如 demo_processed.mp4',
+  'Suffix such as _processed': '例如 _processed 的后缀',
+  'Suffix cannot be empty': '后缀不能为空',
   'No data': '暂无数据',
 
   // Path selector
@@ -473,6 +605,7 @@ export const zh = {
   'Root Directory': '根目录',
   'Please input root directory!': '请输入根目录！',
   'e.g., data/ or /var/foxel/data': '例如: data/ 或 /var/foxel/data',
+  'Optional, used for external links. Leave empty to use the current site.': '可选，用于生成外部链接；留空则使用当前站点。',
   'Create Admin': '创建管理员',
   'Create admin account': '创建管理员账户',
   'This is the first account with full permissions': '这是系统的第一个账户，将拥有最高权限。',

web/src/layout/SearchDialog.tsx

@@ -1,128 +1,605 @@
-import { Modal, Input, List, Divider, Spin, Select, Space } from 'antd';
+import { Modal, Input, List, Divider, Spin, Space, Tag, Typography, Empty, Flex, Segmented, Pagination, message } from 'antd';
 import { SearchOutlined, FileTextOutlined } from '@ant-design/icons';
-import React, { useState } from 'react';
+import React, { useRef, useState, useEffect, useCallback } from 'react';
 import { vfsApi, type SearchResultItem } from '../api/vfs';
+import { type VfsEntry } from '../api/client';
+import { processorsApi, type ProcessorTypeMeta } from '../api/processors';
 import { useI18n } from '../i18n';
 import { useNavigate } from 'react-router';
-
+import { useAppWindows } from '../contexts/AppWindowsContext';
+import { ContextMenu } from '../pages/FileExplorerPage/components/ContextMenu';
+import { RenameModal } from '../pages/FileExplorerPage/components/Modals/RenameModal';
+import { MoveCopyModal } from '../pages/FileExplorerPage/components/Modals/MoveCopyModal';
+import { ShareModal } from '../pages/FileExplorerPage/components/Modals/ShareModal';
+import { DirectLinkModal } from '../pages/FileExplorerPage/components/Modals/DirectLinkModal';
+import { FileDetailModal } from '../pages/FileExplorerPage/components/FileDetailModal';
+import { ProcessorModal } from '../pages/FileExplorerPage/components/Modals/ProcessorModal';
+import { useFileActions } from '../pages/FileExplorerPage/hooks/useFileActions.tsx';
+import { useProcessor } from '../pages/FileExplorerPage/hooks/useProcessor';
 
 interface SearchDialogProps {
   open: boolean;
   onClose: () => void;
 }
 
-const SEARCH_MODES = (t: (k: string)=>string) => [
-  { label: t('Smart Search'), value: 'vector' },
-  { label: t('Name Search'), value: 'filename' },
-];
+type SearchMode = 'vector' | 'filename';
+const PAGE_SIZE = 10;
 
 const SearchDialog: React.FC<SearchDialogProps> = ({ open, onClose }) => {
   const [search, setSearch] = useState('');
   const [loading, setLoading] = useState(false);
   const [results, setResults] = useState<SearchResultItem[]>([]);
   const [searched, setSearched] = useState(false);
-  const [searchMode, setSearchMode] = useState<'vector' | 'filename'>('vector');
+  const [searchMode, setSearchMode] = useState<SearchMode>('vector');
+  const [page, setPage] = useState(1);
+  const [hasMore, setHasMore] = useState(false);
+  const requestIdRef = useRef(0);
   const { t } = useI18n();
   const navigate = useNavigate();
+  const { openFileWithDefaultApp, confirmOpenWithApp } = useAppWindows();
+  const statCacheRef = useRef<Map<string, VfsEntry>>(new Map());
 
-  const handleSearch = async () => {
-    if (!search.trim()) return;
-    setLoading(true);
-    setSearched(true);
-    try {
-      const res = await vfsApi.searchFiles(search, 10, searchMode);
-      setResults(res.items);
-    } catch (e) {
-      setResults([]);
+  const [contextMenuState, setContextMenuState] = useState<{ entry: VfsEntry; x: number; y: number; path: string } | null>(null);
+  const [menuEntries, setMenuEntries] = useState<VfsEntry[]>([]);
+  const [selectedEntryNames, setSelectedEntryNames] = useState<string[]>([]);
+  const [currentPath, setCurrentPath] = useState<string>('/');
+  const [processorTypes, setProcessorTypes] = useState<ProcessorTypeMeta[]>([]);
+  const [renaming, setRenaming] = useState<VfsEntry | null>(null);
+  const [sharingEntries, setSharingEntries] = useState<VfsEntry[]>([]);
+  const [directLinkEntry, setDirectLinkEntry] = useState<VfsEntry | null>(null);
+  const [detailEntry, setDetailEntry] = useState<VfsEntry | null>(null);
+  const [detailData, setDetailData] = useState<any>(null);
+  const [detailLoading, setDetailLoading] = useState(false);
+  const [movingEntries, setMovingEntries] = useState<VfsEntry[]>([]);
+  const [copyingEntries, setCopyingEntries] = useState<VfsEntry[]>([]);
+
+  const closeContextMenu = useCallback(() => {
+    setContextMenuState(null);
+    setMenuEntries([]);
+    setSelectedEntryNames([]);
+  }, []);
+
+  const noop = useCallback(() => {}, []);
+
+  const handleShare = useCallback((entries: VfsEntry[]) => {
+    setSharingEntries(entries);
+  }, []);
+
+  const handleDirectLink = useCallback((entry: VfsEntry) => {
+    setDirectLinkEntry(entry);
+  }, []);
+
+  const { doDelete, doDownload, doRename, doShare, doGetDirectLink, doMove, doCopy } = useFileActions({
+    path: currentPath,
+    refresh: noop,
+    clearSelection: noop,
+    onShare: handleShare,
+    onGetDirectLink: handleDirectLink,
+  });
+
+  const processorHook = useProcessor({ path: currentPath, processorTypes, refresh: noop });
+
+  useEffect(() => {
+    if (!open) {
+      statCacheRef.current.clear();
+      setProcessorTypes([]);
+      closeContextMenu();
+      return;
     }
+    let cancelled = false;
+    (async () => {
+      try {
+        const list = await processorsApi.list();
+        if (!cancelled) {
+          setProcessorTypes(list);
+        }
+      } catch (e) {
+        if (cancelled) return;
+        const msg = e instanceof Error ? e.message : t('Load failed');
+        message.error(msg);
+      }
+    })();
+    return () => {
+      cancelled = true;
+    };
+  }, [open, closeContextMenu, t]);
+
+  const handleClose = useCallback(() => {
+    setSearch('');
+    setResults([]);
+    setSearched(false);
+    setSearchMode('vector');
+    setPage(1);
+    setHasMore(false);
+    requestIdRef.current = 0;
     setLoading(false);
+    closeContextMenu();
+    setProcessorTypes([]);
+    setRenaming(null);
+    setSharingEntries([]);
+    setDirectLinkEntry(null);
+    setDetailEntry(null);
+    setDetailData(null);
+    setDetailLoading(false);
+    setMovingEntries([]);
+    setCopyingEntries([]);
+    setCurrentPath('/');
+    statCacheRef.current.clear();
+    onClose();
+  }, [closeContextMenu, onClose]);
+
+  const renderSourceLabel = (value?: string) => {
+    switch ((value || '').toLowerCase()) {
+      case 'vector':
+        return t('Vector Search');
+      case 'filename':
+        return t('Name Search');
+      case 'text':
+        return t('Text Chunk');
+      case 'image':
+        return t('Image Description');
+      default:
+        return t('Vector Search');
+    }
   };
 
+  const sourceColor = (value?: string) => {
+    switch ((value || '').toLowerCase()) {
+      case 'vector':
+        return 'blue';
+      case 'filename':
+        return 'green';
+      case 'image':
+        return 'volcano';
+      case 'text':
+        return 'geekblue';
+      default:
+        return 'purple';
+    }
+  };
+
+  const buildFullPath = useCallback((entryName: string, basePath?: string) => {
+    const dir = basePath ?? currentPath;
+    const prefix = dir === '/' ? '' : dir;
+    const combined = `${prefix}/${entryName}`.replace(/\/{2,}/g, '/');
+    if (!combined) return '/';
+    return combined.startsWith('/') ? combined : `/${combined}`;
+  }, [currentPath]);
+
+  const buildDefaultDestination = useCallback((targetEntries: VfsEntry[]) => {
+    if (!targetEntries || targetEntries.length === 0) return '';
+    if (targetEntries.length > 1) {
+      return currentPath || '/';
+    }
+    const entry = targetEntries[0];
+    const base = currentPath === '/' ? '' : currentPath;
+    const segments = [base, entry.name].filter(Boolean);
+    const joined = segments.join('/');
+    if (!joined) return '/';
+    return joined.startsWith('/') ? joined : `/${joined}`;
+  }, [currentPath]);
+
+  const openDetail = useCallback(async (entry: VfsEntry) => {
+    setDetailEntry(entry);
+    setDetailLoading(true);
+    try {
+      const stat = await vfsApi.stat(buildFullPath(entry.name));
+      setDetailData(stat);
+    } catch (e) {
+      const msg = e instanceof Error ? e.message : t('Load failed');
+      setDetailData({ error: msg });
+      message.error(msg);
+    } finally {
+      setDetailLoading(false);
+    }
+  }, [buildFullPath, t]);
+
+  const handleOpenEntry = useCallback((entry: VfsEntry) => {
+    const basePath = contextMenuState?.path ?? currentPath;
+    if (entry.is_dir) {
+      const next = buildFullPath(entry.name, basePath);
+      navigate(`/files${next === '/' ? '' : next}`, { state: { highlight: { name: entry.name } } });
+      closeContextMenu();
+      handleClose();
+      return;
+    }
+    openFileWithDefaultApp(entry, basePath);
+    closeContextMenu();
+    handleClose();
+  }, [buildFullPath, navigate, closeContextMenu, handleClose, openFileWithDefaultApp, currentPath, contextMenuState]);
+
+  const ensureEntry = useCallback(async (fullPath: string, defaultName: string): Promise<VfsEntry | null> => {
+    const cached = statCacheRef.current.get(fullPath);
+    if (cached) {
+      return { ...cached, name: cached.name || defaultName };
+    }
+    try {
+      const stat = await vfsApi.stat(fullPath);
+      const entry: VfsEntry = {
+        name: (stat as any)?.name || defaultName,
+        is_dir: Boolean((stat as any)?.is_dir),
+        size: Number((stat as any)?.size ?? 0),
+        mtime: Number((stat as any)?.mtime ?? (stat as any)?.mtime_ms ?? 0),
+        type: (stat as any)?.type,
+        has_thumbnail: Boolean((stat as any)?.has_thumbnail),
+      };
+      statCacheRef.current.set(fullPath, entry);
+      return entry;
+    } catch (e) {
+      const msg = e instanceof Error ? e.message : t('Load failed');
+      message.error(msg);
+      return null;
+    }
+  }, [t]);
+
+  const handleResultContextMenu = useCallback(async (event: React.MouseEvent, item: SearchResultItem) => {
+    event.preventDefault();
+    closeContextMenu();
+    const rawPath = (item.path || '').replace(/\/+$/, '');
+    if (!rawPath) {
+      return;
+    }
+    const normalizedPath = rawPath.startsWith('/') ? rawPath : `/${rawPath}`;
+    const segments = normalizedPath.split('/').filter(Boolean);
+    const filename = segments.pop() || '';
+    const dir = segments.length ? `/${segments.join('/')}` : '/';
+    const entry = await ensureEntry(normalizedPath, filename);
+    if (!entry) return;
+    setCurrentPath(dir || '/');
+    setMenuEntries([entry]);
+    setSelectedEntryNames([entry.name]);
+    setContextMenuState({
+      entry,
+      x: event.clientX,
+      y: event.clientY,
+      path: dir || '/',
+    });
+  }, [closeContextMenu, ensureEntry]);
+
+  const performSearch = async (options?: { page?: number; mode?: SearchMode }) => {
+    const query = search.trim();
+    if (!query) {
+      setSearched(false);
+      setResults([]);
+      setHasMore(false);
+      return;
+    }
+
+    const currentMode = options?.mode ?? searchMode;
+    const targetPage = currentMode === 'filename' ? (options?.page ?? (currentMode === searchMode ? page : 1)) : 1;
+
+    const requestId = requestIdRef.current + 1;
+    requestIdRef.current = requestId;
+
+    setLoading(true);
+    closeContextMenu();
+    setSearched(true);
+    if (currentMode === 'filename') {
+      setPage(targetPage);
+    } else {
+      setPage(1);
+      setHasMore(false);
+    }
+
+    try {
+      const res = await vfsApi.searchFiles(
+        query,
+        currentMode === 'filename' ? PAGE_SIZE : 10,
+        currentMode,
+        currentMode === 'filename' ? targetPage : undefined,
+        currentMode === 'filename' ? PAGE_SIZE : undefined,
+      );
+      if (requestId !== requestIdRef.current) {
+        return;
+      }
+      setResults(res.items);
+      if (currentMode === 'filename') {
+        const pagination = res.pagination;
+        setHasMore(Boolean(pagination?.has_more));
+        if (pagination?.page) {
+          setPage(pagination.page);
+        }
+      } else {
+        setHasMore(false);
+      }
+    } catch (e) {
+      if (requestId !== requestIdRef.current) {
+        return;
+      }
+      setResults([]);
+      if (currentMode === 'filename') {
+        setHasMore(false);
+      }
+    } finally {
+      if (requestId === requestIdRef.current) {
+        setLoading(false);
+      }
+    }
+  };
+
+  const handleSearch = () => {
+    if (!search.trim()) {
+      closeContextMenu();
+      setResults([]);
+      setSearched(false);
+      setHasMore(false);
+      setPage(1);
+      return;
+    }
+    void performSearch({ page: searchMode === 'filename' ? 1 : undefined });
+  };
+
+  const handleModeChange = (value: string | number) => {
+    const nextMode = value as SearchMode;
+    setHasMore(false);
+    setPage(1);
+    setSearchMode(nextMode);
+    closeContextMenu();
+    if (search.trim()) {
+      void performSearch({ mode: nextMode, page: nextMode === 'filename' ? 1 : undefined });
+    } else {
+      setResults([]);
+      setSearched(false);
+    }
+  };
+
+  const totalItems = searchMode === 'filename'
+    ? (hasMore ? page * PAGE_SIZE + 1 : (page - 1) * PAGE_SIZE + results.length)
+    : results.length;
+
   return (
     <Modal
       open={open}
-      onCancel={onClose}
+      onCancel={handleClose}
       footer={null}
-      width={600}
+      width={720}
       centered
       title={null}
       closable={false}
+      styles={{
+        body: {
+          padding: '12px 16px 16px',
+          maxHeight: '70vh',
+          overflow: 'hidden',
+          display: 'flex',
+          flexDirection: 'column',
+          gap: 12,
+        },
+      }}
     >
-      <Space.Compact style={{ marginBottom: 0, width: '100%' }}>
-        <Select
-          options={SEARCH_MODES(t)}
-          value={searchMode}
-          onChange={v => setSearchMode(v as 'vector' | 'filename')}
-          style={{
-            width: 120,
-            fontSize: 18,
-            height: 40,
-            lineHeight: '40px',
-            borderTopRightRadius: 0,
-            borderBottomRightRadius: 0,
-            borderRight: 0,
-            verticalAlign: 'top',
-          }}
-          styles={{ popup: { root: { fontSize: 18 } } }}
-          popupMatchSelectWidth={false}
-        />
-        <Input
-          allowClear
-          prefix={<SearchOutlined />}
-          placeholder={t('Search files / tags / types')}
-          value={search}
-          onChange={e => setSearch(e.target.value)}
-          style={{
-            fontSize: 18,
-            height: 40,
-            width: 'calc(100% - 120px)',
-            borderTopLeftRadius: 0,
-            borderBottomLeftRadius: 0,
-            verticalAlign: 'top',
-          }}
-          autoFocus
-          onPressEnter={handleSearch}
-        />
-      </Space.Compact>
-      {searched && (
-        <>
-          <Divider style={{ margin: '12px 0' }}>{t('Search Results')}</Divider>
-          {loading ? (
-            <Spin />
-          ) : (
-            <List
-              itemLayout="horizontal"
-              dataSource={results}
-              locale={{ emptyText: t('No files found') }}
-              renderItem={item => {
-                const fullPath = item.path || '';
-                const trimmed = fullPath.replace(/\/+$/, '');
-                const parts = trimmed.split('/');
-                const filename = parts.pop() || '';
-                const dir = parts.length ? '/' + parts.join('/') : '/';
-                return (
-                  <List.Item>
-                    <List.Item.Meta
-                      avatar={<FileTextOutlined />}
-                      title={
-                        <a
-                          onClick={() => {
-                            navigate(`/files${dir === '/' ? '' : dir}`, { state: { highlight: { name: filename } } });
-                            onClose();
-                          }}
+      <Flex vertical style={{ gap: 12, flex: 1, minHeight: 0 }}>
+        <Flex align="center" style={{ width: '100%', gap: 12, flexWrap: 'wrap' }}>
+          <Segmented
+            options={[
+              { label: t('Smart Search'), value: 'vector' },
+              { label: t('Name Search'), value: 'filename' },
+            ]}
+            value={searchMode}
+            onChange={handleModeChange}
+            style={{
+              minWidth: 160,
+              height: 40,
+              borderRadius: 20,
+              display: 'flex',
+              alignItems: 'center',
+            }}
+            size="large"
+          />
+          <Input
+            allowClear
+            prefix={<SearchOutlined />}
+            placeholder={t('Search files / tags / types')}
+            value={search}
+            onChange={e => {
+              const value = e.target.value;
+              setSearch(value);
+              if (!value.trim()) {
+                setResults([]);
+                setSearched(false);
+                setHasMore(false);
+                setPage(1);
+                requestIdRef.current += 1;
+                setLoading(false);
+              }
+            }}
+            style={{ fontSize: 18, height: 40, flex: 1, minWidth: 240 }}
+            styles={{
+              input: {
+                borderRadius: 20,
+              },
+            }}
+            autoFocus
+            onPressEnter={handleSearch}
+          />
+        </Flex>
+
+        {!searched ? null : (
+          <Flex vertical style={{ flex: 1, minHeight: 0 }}>
+            <Divider style={{ margin: 0, padding: '0 0 12px' }}>{t('Search Results')}</Divider>
+            {loading ? (
+              <Flex align="center" justify="center" style={{ flex: 1 }}>
+                <Spin />
+              </Flex>
+            ) : results.length === 0 ? (
+              <Flex align="center" justify="center" style={{ flex: 1 }}>
+                <Empty description={t('No files found')} image={Empty.PRESENTED_IMAGE_SIMPLE} />
+              </Flex>
+            ) : (
+              <div style={{ flex: 1, minHeight: 0, display: 'flex', flexDirection: 'column' }}>
+                <div style={{ flex: 1, minHeight: 0, overflowY: 'auto', paddingRight: 6 }}>
+                  <List
+                    itemLayout="horizontal"
+                    dataSource={results}
+                    split={false}
+                    renderItem={item => {
+                      const fullPath = item.path || '';
+                      const trimmed = fullPath.replace(/\/+$/, '');
+                      const parts = trimmed.split('/');
+                      const filename = parts.pop() || '';
+                      const dir = parts.length ? '/' + parts.join('/') : '/';
+                    const snippet = item.snippet || '';
+                      const retrieval = item.metadata?.retrieval_source || item.source_type;
+                      const retrievalLabel = renderSourceLabel(retrieval);
+                      const scoreText = Number.isFinite(item.score) ? item.score.toFixed(2) : '-';
+
+                      return (
+                        <List.Item
+                          style={{ padding: '10px 12px', borderRadius: 6, background: '#fafafa', marginBottom: 8 }}
+                          onContextMenu={(event) => { void handleResultContextMenu(event, item); }}
                         >
-                          {fullPath}
-                        </a>
-                      }
-                      description={`${t('Relevance')}: ${item.score.toFixed(2)}`}
-                    />
-                  </List.Item>
-                );
-              }}
-            />
-          )}
-        </>
-      )}
+                          <List.Item.Meta
+                            avatar={<FileTextOutlined style={{ fontSize: 18, color: '#8c8c8c' }} />}
+                            title={
+                              <a
+                                onClick={() => {
+                                  navigate(`/files${dir === '/' ? '' : dir}`, { state: { highlight: { name: filename } } });
+                                  handleClose();
+                                }}
+                                style={{ fontSize: 16 }}
+                              >
+                                {fullPath}
+                              </a>
+                            }
+                            description={(
+                              <Space direction="vertical" size={6} style={{ width: '100%' }}>
+                                {snippet ? (
+                                  <Typography.Paragraph ellipsis={{ rows: 3 }} style={{ marginBottom: 0 }}>
+                                    {snippet}
+                                  </Typography.Paragraph>
+                                ) : null}
+                                <Space size={10} wrap>
+                                  {retrieval ? (
+                                    <Tag color={sourceColor(retrieval)} style={{ marginRight: 0 }}>
+                                      {retrievalLabel}
+                                    </Tag>
+                                  ) : null}
+                                  <Typography.Text type="secondary">
+                                    {t('Relevance')}: {scoreText}
+                                  </Typography.Text>
+                                </Space>
+                              </Space>
+                            )}
+                          />
+                        </List.Item>
+                      );
+                    }}
+                  />
+                </div>
+                {searchMode === 'filename' && results.length > 0 ? (
+                  <Pagination
+                    current={page}
+                    pageSize={PAGE_SIZE}
+                    total={Math.max(totalItems, 1)}
+                    showSizeChanger={false}
+                    size="small"
+                    style={{ marginTop: 12, textAlign: 'right' }}
+                    onChange={(nextPage) => {
+                      void performSearch({ page: nextPage });
+                    }}
+                  />
+                ) : null}
+              </div>
+            )}
+          </Flex>
+        )}
+      </Flex>
+      {contextMenuState ? (
+        <ContextMenu
+          x={contextMenuState.x}
+          y={contextMenuState.y}
+          entry={contextMenuState.entry}
+          entries={menuEntries}
+          selectedEntries={selectedEntryNames}
+          processorTypes={processorTypes}
+          onClose={closeContextMenu}
+          onOpen={handleOpenEntry}
+          onOpenWith={(entry, appKey) => confirmOpenWithApp(entry, appKey, contextMenuState?.path ?? currentPath)}
+          onDownload={doDownload}
+          onRename={setRenaming}
+          onDelete={(entriesToDelete) => doDelete(entriesToDelete)}
+          onDetail={openDetail}
+          onProcess={(entry, type) => {
+            processorHook.setSelectedProcessor(type);
+            processorHook.openProcessorModal(entry);
+          }}
+          onUploadFile={noop}
+          onUploadDirectory={noop}
+          onCreateDir={noop}
+          onShare={doShare}
+          onGetDirectLink={doGetDirectLink}
+          onMove={(entriesToMove) => setMovingEntries(entriesToMove)}
+          onCopy={(entriesToCopy) => setCopyingEntries(entriesToCopy)}
+        />
+      ) : null}
+      <RenameModal
+        entry={renaming}
+        onOk={(entry, newName) => {
+          void doRename(entry, newName);
+          setRenaming(null);
+        }}
+        onCancel={() => setRenaming(null)}
+      />
+      <FileDetailModal
+        entry={detailEntry}
+        loading={detailLoading}
+        data={detailData}
+        onClose={() => setDetailEntry(null)}
+      />
+      <MoveCopyModal
+        mode="move"
+        entries={movingEntries}
+        open={movingEntries.length > 0}
+        defaultPath={buildDefaultDestination(movingEntries)}
+        onOk={async (destination) => {
+          if (movingEntries.length > 0) {
+            await doMove(movingEntries, destination);
+          }
+        }}
+        onCancel={() => setMovingEntries([])}
+      />
+      <MoveCopyModal
+        mode="copy"
+        entries={copyingEntries}
+        open={copyingEntries.length > 0}
+        defaultPath={buildDefaultDestination(copyingEntries)}
+        onOk={async (destination) => {
+          if (copyingEntries.length > 0) {
+            await doCopy(copyingEntries, destination);
+          }
+        }}
+        onCancel={() => setCopyingEntries([])}
+      />
+      {sharingEntries.length > 0 ? (
+        <ShareModal
+          path={currentPath}
+          entries={sharingEntries}
+          open={sharingEntries.length > 0}
+          onOk={() => setSharingEntries([])}
+          onCancel={() => setSharingEntries([])}
+        />
+      ) : null}
+      <DirectLinkModal
+        entry={directLinkEntry}
+        path={currentPath}
+        open={!!directLinkEntry}
+        onCancel={() => setDirectLinkEntry(null)}
+      />
+      <ProcessorModal
+        entry={processorHook.processorModal.entry}
+        visible={processorHook.processorModal.visible}
+        loading={processorHook.processorLoading}
+        processorTypes={processorTypes}
+        selectedProcessor={processorHook.selectedProcessor}
+        config={processorHook.processorConfig}
+        savingPath={processorHook.processorSavingPath}
+        overwrite={processorHook.processorOverwrite}
+        onOk={processorHook.handleProcessorOk}
+        onCancel={processorHook.handleProcessorCancel}
+        onSelectedProcessorChange={processorHook.setSelectedProcessor}
+        onConfigChange={processorHook.setProcessorConfig}
+        onSavingPathChange={processorHook.setProcessorSavingPath}
+        onOverwriteChange={processorHook.setProcessorOverwrite}
+      />
     </Modal>
   );
 };

web/src/layout/SideNav.tsx

@@ -18,6 +18,7 @@ import ReactMarkdown from 'react-markdown';
 import { useTheme } from '../contexts/ThemeContext';
 import { useI18n } from '../i18n';
 import { useAppWindows } from '../contexts/AppWindowsContext';
+import WeChatModal from '../components/WeChatModal';
 const { Sider } = Layout;
 
 export interface SideNavProps {
@@ -211,7 +212,7 @@ const SideNav = memo(function SideNav({ collapsed, activeKey, onChange, onToggle
                     <Tag icon={<WarningOutlined />} color="warning" style={{ marginInlineEnd: 0 }} />
                   ) : (
                     <Tag icon={<WarningOutlined />} color="warning">
-                      {status?.version} - {t('Update available')} [{latestVersion?.version}]
+                      {t('Update available')} [{latestVersion?.version}]
                     </Tag>
                   )}
                 </a>
@@ -260,23 +261,7 @@ const SideNav = memo(function SideNav({ collapsed, activeKey, onChange, onToggle
 
         </div>
       </Sider>
-      <Modal
-        open={isModalOpen}
-        onCancel={() => setIsModalOpen(false)}
-        title={t('Join Community')}
-        footer={null}
-        width={320}
-      >
-        <div style={{ textAlign: 'center', padding: '12px 0' }}>
-          <img src="https://foxel.cc/image/wechat.png" width={200} alt="wechat" />
-          <div style={{ marginTop: 12, color: token.colorTextSecondary }}>
-            {t('Scan to join WeChat group')}
-          </div>
-          <div style={{ marginTop: 8, fontSize: 12, color: token.colorTextTertiary }}>
-            {t('If QR expires, add drizzle2001 to join')}
-          </div>
-        </div>
-      </Modal>
+      <WeChatModal open={isModalOpen} onClose={() => setIsModalOpen(false)} />
       <Modal
         open={isVersionModalOpen}
         onCancel={() => setIsVersionModalOpen(false)}

web/src/pages/AdaptersPage.tsx

@@ -1,24 +1,9 @@
 import { memo, useState, useEffect, useCallback } from 'react';
 import { Table, Button, Space, Drawer, Form, Input, Switch, message, Typography, Popconfirm, Select } from 'antd';
 import PageCard from '../components/PageCard';
-import { adaptersApi, type AdapterItem } from '../api/client';
+import { adaptersApi, type AdapterItem, type AdapterTypeMeta } from '../api/client';
 import { useI18n } from '../i18n';
 
-
-interface AdapterTypeField {
-  key: string;
-  label: string;
-  type: 'string' | 'password' | 'number';
-  required?: boolean;
-  placeholder?: string;
-  default?: any;
-}
-interface AdapterTypeMeta {
-  type: string;
-  name: string;
-  config_schema: AdapterTypeField[];
-}
-
 const AdaptersPage = memo(function AdaptersPage() {
   const [loading, setLoading] = useState(false);
   const [data, setData] = useState<AdapterItem[]>([]);
@@ -185,14 +170,20 @@ const AdaptersPage = memo(function AdaptersPage() {
     return currentTypeMeta.config_schema.map(field => {
       const rules = field.required ? [{ required: true, message: t('Please input {label}', { label: field.label }) }] : [];
       let inputNode: any = <Input placeholder={field.placeholder} />;
+      let valuePropName: string | undefined;
       if (field.type === 'password') inputNode = <Input.Password placeholder={field.placeholder} />;
       if (field.type === 'number') inputNode = <Input type="number" placeholder={field.placeholder} />;
+      if (field.type === 'boolean') {
+        inputNode = <Switch />;
+        valuePropName = 'checked';
+      }
       return (
         <Form.Item
           key={field.key}
           name={['config', field.key]}
           label={t(field.label)}
           rules={rules}
+          valuePropName={valuePropName}
         >
           {inputNode}
         </Form.Item>

web/src/pages/FileExplorerPage/FileExplorerPage.tsx

@@ -25,13 +25,16 @@ import { FileDetailModal } from './components/FileDetailModal';
 import { MoveCopyModal } from './components/Modals/MoveCopyModal';
 import type { ViewMode } from './types';
 import { vfsApi, type VfsEntry } from '../../api/client';
+import { LoadingSkeleton } from './components/LoadingSkeleton';
 
 const FileExplorerPage = memo(function FileExplorerPage() {
   const { navKey = 'files', '*': restPath = '' } = useParams();
   const { token } = theme.useToken();
   const [viewMode, setViewMode] = useState<ViewMode>('grid');
   const [isDragging, setIsDragging] = useState(false);
+  const [showSkeleton, setShowSkeleton] = useState(false);
   const dragCounter = useRef(0);
+  const skeletonTimerRef = useRef<number | null>(null);
 
   // --- Hooks ---
   const { path, entries, loading, pagination, processorTypes, sortBy, sortOrder, load, navigateTo, goUp, handlePaginationChange, refresh, handleSortChange } = useFileExplorer(navKey);
@@ -40,7 +43,7 @@ const FileExplorerPage = memo(function FileExplorerPage() {
   const { openFileWithDefaultApp, confirmOpenWithApp } = useAppWindows();
   const { ctxMenu, blankCtxMenu, openContextMenu, openBlankContextMenu, closeContextMenus } = useContextMenu();
   const uploader = useUploader(path, refresh);
-  const { handleFileDrop } = uploader;
+  const { handleFileDrop, openFilePicker, openDirectoryPicker, handleFileInputChange, handleDirectoryInputChange } = uploader;
   const processorHook = useProcessor({ path, processorTypes, refresh });
   const { thumbs } = useThumbnails(entries, path);
 
@@ -50,16 +53,40 @@ const FileExplorerPage = memo(function FileExplorerPage() {
   const [sharingEntries, setSharingEntries] = useState<VfsEntry[]>([]);
   const [detailEntry, setDetailEntry] = useState<VfsEntry | null>(null);
   const [directLinkEntry, setDirectLinkEntry] = useState<VfsEntry | null>(null);
-  const [detailData, setDetailData] = useState<any>(null);
+  const [detailData, setDetailData] = useState<Record<string, unknown> | { error: string } | null>(null);
   const [detailLoading, setDetailLoading] = useState(false);
   const [movingEntries, setMovingEntries] = useState<VfsEntry[]>([]);
   const [copyingEntries, setCopyingEntries] = useState<VfsEntry[]>([]);
 
   // --- Effects ---
+  const routePath = '/' + (restPath || '').replace(/^\/+/, '');
+
   useEffect(() => {
-    const routeP = '/' + (restPath || '').replace(/^\/+/, '');
-    load(routeP, 1, pagination.pageSize, sortBy, sortOrder);
-  }, [restPath, navKey, load, pagination.pageSize, sortBy, sortOrder]);
+    load(routePath, 1, pagination.pageSize, sortBy, sortOrder);
+  }, [routePath, navKey, load, pagination.pageSize, sortBy, sortOrder]);
+
+  useEffect(() => {
+    if (skeletonTimerRef.current !== null) {
+      clearTimeout(skeletonTimerRef.current);
+      skeletonTimerRef.current = null;
+    }
+
+    if (loading) {
+      skeletonTimerRef.current = window.setTimeout(() => {
+        setShowSkeleton(true);
+        skeletonTimerRef.current = null;
+      }, 200);
+    } else {
+      setShowSkeleton(false);
+    }
+
+    return () => {
+      if (skeletonTimerRef.current !== null) {
+        clearTimeout(skeletonTimerRef.current);
+        skeletonTimerRef.current = null;
+      }
+    };
+  }, [loading]);
 
   // --- Handlers ---
   const handleOpenEntry = (entry: VfsEntry) => {
@@ -77,9 +104,10 @@ const FileExplorerPage = memo(function FileExplorerPage() {
     try {
       const fullPath = (path === '/' ? '' : path) + '/' + entry.name;
       const stat = await vfsApi.stat(fullPath);
-      setDetailData(stat);
-    } catch (e: any) {
-      setDetailData({ error: e.message });
+      setDetailData(stat as Record<string, unknown>);
+    } catch (error) {
+      const messageText = error instanceof Error ? error.message : String(error);
+      setDetailData({ error: messageText });
     } finally {
       setDetailLoading(false);
     }
@@ -128,7 +156,7 @@ const FileExplorerPage = memo(function FileExplorerPage() {
     e.stopPropagation();
     setIsDragging(false);
     dragCounter.current = 0;
-    handleFileDrop(e.dataTransfer.files);
+    void handleFileDrop(e.dataTransfer);
   };
 
   return (
@@ -159,22 +187,37 @@ const FileExplorerPage = memo(function FileExplorerPage() {
         onNavigate={navigateTo}
         onRefresh={refresh}
         onCreateDir={() => setCreatingDir(true)}
-        onUpload={uploader.openModal}
+        onUploadFile={openFilePicker}
+        onUploadDirectory={openDirectoryPicker}
         onSetViewMode={setViewMode}
         onSortChange={handleSortChange}
       />
 
-      <input ref={uploader.fileInputRef} type="file" style={{ display: 'none' }} multiple onChange={uploader.handleFileChange} />
+      <input
+        ref={uploader.fileInputRef}
+        type="file"
+        style={{ display: 'none' }}
+        multiple
+        onChange={handleFileInputChange}
+      />
+      <input
+        ref={uploader.directoryInputRef}
+        type="file"
+        style={{ display: 'none' }}
+        multiple
+        onChange={handleDirectoryInputChange}
+      />
 
       <div style={{ flex: 1, overflow: 'auto', paddingBottom: pagination.total > 0 ? '80px' : '0' }} onContextMenu={openBlankContextMenu}>
-        {loading && entries.length === 0 ? (
+        {showSkeleton && loading && (entries.length === 0 || path !== routePath) ? (
+          <LoadingSkeleton mode={viewMode} />
+        ) : !loading && entries.length === 0 ? (
           <div style={{ textAlign: 'center', padding: 40 }}><EmptyState isRoot={path === '/'} /></div>
         ) : viewMode === 'grid' ? (
           <GridView
             entries={entries}
             thumbs={thumbs}
             selectedEntries={selectedEntries}
-            loading={loading}
             path={path}
             onSelect={handleSelect}
             onSelectRange={handleSelectRange}
@@ -184,7 +227,6 @@ const FileExplorerPage = memo(function FileExplorerPage() {
         ) : (
           <FileListView
             entries={entries}
-            loading={loading}
             selectedEntries={selectedEntries}
             onRowClick={(r, e) => handleSelect(r, e.ctrlKey || e.metaKey)}
             onSelectionChange={setSelectedEntries}
@@ -282,7 +324,8 @@ const FileExplorerPage = memo(function FileExplorerPage() {
             processorHook.setSelectedProcessor(type);
             processorHook.openProcessorModal(entry);
           }}
-          onUpload={uploader.openModal}
+          onUploadFile={openFilePicker}
+          onUploadDirectory={openDirectoryPicker}
           onCreateDir={() => setCreatingDir(true)}
           onShare={doShare}
           onGetDirectLink={doGetDirectLink}
@@ -293,8 +336,14 @@ const FileExplorerPage = memo(function FileExplorerPage() {
       <UploadModal
         visible={uploader.isModalVisible}
         files={uploader.files}
+        isUploading={uploader.isUploading}
+        totalProgress={uploader.totalProgress}
+        totalFileBytes={uploader.totalFileBytes}
+        uploadedFileBytes={uploader.uploadedFileBytes}
+        conflict={uploader.conflict}
         onClose={uploader.closeModal}
         onStartUpload={uploader.startUpload}
+        onResolveConflict={uploader.confirmConflict}
       />
       <DropzoneOverlay visible={isDragging} />
     </div>

web/src/pages/FileExplorerPage/components/ContextMenu.tsx

@@ -1,6 +1,8 @@
 import React, { useLayoutEffect, useRef, useState } from 'react';
 import { Menu, theme } from 'antd';
+import type { MenuProps } from 'antd';
 import type { VfsEntry } from '../../../api/client';
+import type { ProcessorTypeMeta } from '../../../api/processors';
 import { getAppsForEntry, getDefaultAppForEntry } from '../../../apps/registry';
 import { useI18n } from '../../../i18n';
 import {
@@ -15,7 +17,7 @@ interface ContextMenuProps {
   entry?: VfsEntry;
   entries: VfsEntry[];
   selectedEntries: string[];
-  processorTypes: any[];
+  processorTypes: ProcessorTypeMeta[];
   onClose: () => void;
   onOpen: (entry: VfsEntry) => void;
   onOpenWith: (entry: VfsEntry, appKey: string) => void;
@@ -24,7 +26,8 @@ interface ContextMenuProps {
   onDelete: (entries: VfsEntry[]) => void;
   onDetail: (entry: VfsEntry) => void;
   onProcess: (entry: VfsEntry, processorType: string) => void;
-  onUpload: () => void;
+  onUploadFile: () => void;
+  onUploadDirectory: () => void;
   onCreateDir: () => void;
   onShare: (entries: VfsEntry[]) => void;
   onGetDirectLink: (entry: VfsEntry) => void;
@@ -32,6 +35,18 @@ interface ContextMenuProps {
   onCopy: (entries: VfsEntry[]) => void;
 }
 
+type MenuItem = Required<MenuProps>['items'][number];
+
+interface ActionMenuItem {
+  key: string;
+  label: React.ReactNode;
+  icon?: React.ReactNode;
+  disabled?: boolean;
+  danger?: boolean;
+  onClick?: () => void;
+  children?: ActionMenuItem[];
+}
+
 export const ContextMenu: React.FC<ContextMenuProps> = (props) => {
   const { token } = theme.useToken();
   const { t } = useI18n();
@@ -43,10 +58,18 @@ export const ContextMenu: React.FC<ContextMenuProps> = (props) => {
     setPosition({ left: x, top: y });
   }, [x, y]);
 
-  const getContextMenuItems = () => {
+  const getContextMenuItems = (): ActionMenuItem[] => {
     if (!entry) { // Blank context menu
       return [
-        { key: 'upload', label: t('Upload File'), icon: <UploadOutlined />, onClick: actions.onUpload },
+        {
+          key: 'upload',
+          label: t('Upload'),
+          icon: <UploadOutlined />,
+          children: [
+            { key: 'upload-file', label: t('Upload Files'), onClick: actions.onUploadFile },
+            { key: 'upload-folder', label: t('Upload Folder'), onClick: actions.onUploadDirectory },
+          ],
+        },
         { key: 'mkdir', label: t('New Folder'), icon: <PlusOutlined />, onClick: actions.onCreateDir },
       ];
     }
@@ -57,11 +80,15 @@ export const ContextMenu: React.FC<ContextMenuProps> = (props) => {
     const targetNames = selectedEntries.includes(entry.name) ? selectedEntries : [entry.name];
     const targetEntries = entries.filter(e => targetNames.includes(e.name));
 
-    let processorSubMenu: any[] = [];
+    let processorSubMenu: ActionMenuItem[] = [];
     if (!entry.is_dir && processorTypes.length > 0) {
       const ext = entry.name.split('.').pop()?.toLowerCase() || '';
       processorSubMenu = processorTypes
-        .filter(pt => pt.supported_exts.includes(ext))
+        .filter(pt => {
+          const exts = pt.supported_exts;
+          if (!Array.isArray(exts) || exts.length === 0) return true;
+          return exts.includes(ext);
+        })
         .map(pt => ({
           key: 'processor-' + pt.type,
           label: pt.name,
@@ -69,7 +96,7 @@ export const ContextMenu: React.FC<ContextMenuProps> = (props) => {
         }));
     }
 
-    return [
+    const menuItems: (ActionMenuItem | null)[] = [
       (entry.is_dir || apps.length > 0) ? {
         key: 'open',
         label: defaultApp ? `${t('Open')} (${defaultApp.name})` : t('Open'),
@@ -147,18 +174,32 @@ export const ContextMenu: React.FC<ContextMenuProps> = (props) => {
         icon: <InfoCircleOutlined />,
         onClick: () => actions.onDetail(entry),
       },
-    ].filter(Boolean);
+    ];
+
+    return menuItems.filter((item): item is ActionMenuItem => item !== null);
   };
 
-  const items = getContextMenuItems()
-    .filter(item => item !== null) // Ensure no null items
-    .map(item => ({
-      ...item,
-      onClick: () => {
-        if (item.onClick) item.onClick();
-        onClose();
-      }
-    }));
+  const actionItems = getContextMenuItems();
+
+  const handlerMap = new Map<string, () => void>();
+
+  const mapItems = (source: ActionMenuItem[]): MenuItem[] =>
+    source.map<MenuItem>((item) => {
+      if (item.onClick) handlerMap.set(item.key, item.onClick);
+      const mappedChildren = item.children && item.children.length > 0 ? mapItems(item.children) : undefined;
+
+      const transformed = {
+        key: item.key,
+        label: item.label,
+        icon: item.icon,
+        disabled: item.disabled,
+        danger: item.danger,
+        ...(mappedChildren ? { children: mappedChildren } : {}),
+      } as MenuItem;
+      return transformed;
+    });
+
+  const items = mapItems(actionItems);
 
   useLayoutEffect(() => {
     if (typeof window === 'undefined') return;
@@ -199,8 +240,13 @@ export const ContextMenu: React.FC<ContextMenuProps> = (props) => {
       onClick={onClose} // Close on any click inside the menu area
     >
       <Menu
-        items={items as any[]}
+        items={items}
         selectable={false}
+        onClick={({ key }) => {
+          const handler = handlerMap.get(String(key));
+          if (handler) handler();
+          onClose();
+        }}
         style={{ width: 160, borderRadius: token.borderRadius, background: 'transparent' }}
       />
     </div>

web/src/pages/FileExplorerPage/components/FileDetailModal.tsx

@@ -1,6 +1,6 @@
 import React from 'react';
-import { Modal, Typography, Spin, theme, Card, Descriptions, Divider, Badge, Space, message } from 'antd';
-import { FileOutlined, FolderOutlined, CameraOutlined, InfoCircleOutlined } from '@ant-design/icons';
+import { Modal, Typography, Spin, theme, Card, Descriptions, Divider, Badge, Space, message, Collapse, Tag } from 'antd';
+import { FileOutlined, FolderOutlined, CameraOutlined, InfoCircleOutlined, DatabaseOutlined } from '@ant-design/icons';
 import { useI18n } from '../../../i18n';
 import type { VfsEntry } from '../../../api/client';
 
@@ -80,7 +80,63 @@ function formatFileSize(size: number | string, t: (k: string)=>string): string {
 export const FileDetailModal: React.FC<Props> = ({ entry, loading, data, onClose }) => {
   const { token } = theme.useToken();
   const { t } = useI18n();
-  
+  const vectorIndex = data?.vector_index;
+  const vectorEntries = Array.isArray(vectorIndex?.entries) ? vectorIndex.entries : [];
+  const primaryIndexEntries = vectorEntries.slice(0, 3);
+  const remainingIndexEntries = vectorEntries.slice(3);
+
+  const renderIndexEntry = (entry: any, idx: number, total: number) => {
+    const key = entry?.chunk_id ?? entry?.vector_id ?? idx;
+    const hasOffsets = entry?.start_offset !== undefined || entry?.end_offset !== undefined;
+    const previewText = entry?.preview;
+    const previewTruncated = Boolean(entry?.preview_truncated && previewText);
+
+    return (
+      <div
+        key={String(key)}
+        style={{
+          padding: '12px 0',
+          borderBottom: idx === total - 1 ? 'none' : `1px solid ${token.colorSplit}`,
+        }}
+      >
+        <Space direction="vertical" size={6} style={{ width: '100%' }}>
+          <Space size={[4, 4]} wrap>
+            {entry?.chunk_id && (
+              <Tag color="blue">{t('Chunk ID')}: {entry.chunk_id}</Tag>
+            )}
+            {entry?.type && (
+              <Tag>{entry.type}</Tag>
+            )}
+            {entry?.mime && (
+              <Tag color="geekblue">{entry.mime}</Tag>
+            )}
+            {entry?.name && !previewText && (
+              <Tag color="purple">{entry.name}</Tag>
+            )}
+          </Space>
+          {hasOffsets && (
+            <Typography.Text type="secondary" style={{ fontSize: 12 }}>
+              {t('Offset Range')}: {entry?.start_offset ?? '-'} ~ {entry?.end_offset ?? '-'}
+            </Typography.Text>
+          )}
+          {entry?.vector_id && (
+            <Typography.Text type="secondary" style={{ fontSize: 12 }}>
+              {t('Vector ID')}: {entry.vector_id}
+            </Typography.Text>
+          )}
+          {previewText && (
+            <Typography.Paragraph
+              style={{ marginBottom: 0 }}
+              ellipsis={{ rows: 3, expandable: previewTruncated }}
+            >
+              {previewText}
+            </Typography.Paragraph>
+          )}
+        </Space>
+      </div>
+    );
+  };
+
   return (
     <Modal
       title={
@@ -225,6 +281,82 @@ export const FileDetailModal: React.FC<Props> = ({ entry, loading, data, onClose
                   </>
                 )}
               </Card>
+
+              {!data.is_dir && vectorIndex && (
+                <Card
+                  size="small"
+                  style={{ borderRadius: 8, marginTop: 16 }}
+                  title={
+                    <Space>
+                      <DatabaseOutlined />
+                      {t('Index Info')}
+                    </Space>
+                  }
+                >
+                  <Descriptions
+                    column={1}
+                    size="small"
+                    items={[
+                      {
+                        key: 'total',
+                        label: t('Indexed Items'),
+                        children: vectorIndex.total ?? 0,
+                      },
+                      {
+                        key: 'types',
+                        label: t('Indexed Types'),
+                        children: Object.keys(vectorIndex.by_type || {}).length > 0 ? (
+                          <Space size={[4, 4]} wrap>
+                            {Object.entries(vectorIndex.by_type || {}).map(([type, count]) => (
+                              <Tag key={type}>{type} ({count as number})</Tag>
+                            ))}
+                          </Space>
+                        ) : (
+                          <Typography.Text type="secondary">{t('No index data')}</Typography.Text>
+                        ),
+                      },
+                    ]}
+                    contentStyle={{ fontSize: 14 }}
+                    labelStyle={{ fontWeight: 500, color: token.colorTextSecondary, width: '30%' }}
+                  />
+
+                  {vectorIndex.total ? (
+                    <div style={{ marginTop: 12 }}>
+                      <Typography.Text strong style={{ marginBottom: 8, display: 'block' }}>
+                        {t('Indexed Chunks')}
+                      </Typography.Text>
+                      <div style={{ maxHeight: '40vh', overflowY: 'auto', paddingRight: 8 }}>
+                        {primaryIndexEntries.map((entry: any, idx: number) => renderIndexEntry(entry, idx, primaryIndexEntries.length))}
+                        {remainingIndexEntries.length > 0 && (
+                          <Collapse
+                            bordered={false}
+                            size="small"
+                            items={[{
+                              key: 'more',
+                              label: t('More Indexed Chunks'),
+                              children: (
+                                <div>
+                                  {remainingIndexEntries.map((entry: any, idx: number) => renderIndexEntry(entry, idx, remainingIndexEntries.length))}
+                                </div>
+                              ),
+                            }]}
+                            style={{ background: 'transparent' }}
+                          />
+                        )}
+                      </div>
+                      {vectorIndex.has_more && (
+                        <Typography.Text type="secondary" style={{ fontSize: 12 }}>
+                          {t('Showing first {count} entries', { count: vectorEntries.length })}
+                        </Typography.Text>
+                      )}
+                    </div>
+                  ) : (
+                    <div style={{ marginTop: 12 }}>
+                      <Typography.Text type="secondary">{t('No index data')}</Typography.Text>
+                    </div>
+                  )}
+                </Card>
+              )}
             </div>
 
             {/* 右侧：EXIF 信息 */}

web/src/pages/FileExplorerPage/components/FileIcons.tsx

@@ -45,9 +45,9 @@ export const getFileIcon = (fileName: string, size: number = 16, resolvedMode: '
   if (['xls', 'xlsx'].includes(ext)) return make(<FileExcelOutlined />, '#52c41a');
   if (['ppt', 'pptx'].includes(ext)) return make(<FilePptOutlined />, '#fa8c16');
   if (['zip', 'rar', '7z', 'tar', 'gz', 'bz2', 'xz'].includes(ext)) return make(<FileZipOutlined />, '#faad14');
-  if (['js','jsx','ts','tsx','vue','html','css','scss','less','json','xml','yaml','yml','py','java','cpp','c','h','php','rb','go','rs','swift','kt'].includes(ext)) return make(<CodeOutlined />, '#13c2c2');
+  if (['js','jsx','ts','tsx','vue','html','htm','css','scss','sass','less','json','xml','yaml','yml','py','java','cpp','cc','cxx','c','h','hpp','hxx','php','rb','go','rs','rust','swift','kt','scala','clj','cljs','cs','vb','fs','pl','pm','r','lua','dart','elm'].includes(ext)) return make(<CodeOutlined />, '#13c2c2');
   if (['md', 'markdown'].includes(ext)) return make(<FileMarkdownOutlined />, '#1890ff');
-  if (['txt', 'log', 'ini', 'cfg', 'conf'].includes(ext)) return make(<FileTextOutlined />, '#8c8c8c');
+  if (['txt', 'log', 'ini', 'cfg', 'conf', 'sh', 'bash', 'zsh', 'fish', 'ps1', 'bat', 'cmd', 'dockerfile', 'makefile', 'gradle', 'cmake', 'gitignore', 'gitattributes', 'editorconfig', 'prettierrc'].includes(ext)) return make(<FileTextOutlined />, '#8c8c8c');
   if (['ttf', 'otf', 'woff', 'woff2', 'eot'].includes(ext)) return make(<FontSizeOutlined />, '#eb2f96');
   if (['db', 'sqlite', 'sql'].includes(ext)) return make(<DatabaseOutlined />, '#fa541c');
   if (['env', 'config', 'properties', 'toml'].includes(ext)) return make(<SettingOutlined />, '#faad14');

web/src/pages/FileExplorerPage/components/FileListView.tsx

@@ -9,7 +9,6 @@ import { useI18n } from '../../../i18n';
 
 interface FileListViewProps {
   entries: VfsEntry[];
-  loading: boolean;
   selectedEntries: string[];
   onRowClick: (entry: VfsEntry, e: React.MouseEvent) => void;
   onSelectionChange: (selectedKeys: string[]) => void;
@@ -22,7 +21,6 @@ interface FileListViewProps {
 
 export const FileListView: React.FC<FileListViewProps> = ({
   entries,
-  loading,
   selectedEntries,
   onRowClick,
   onSelectionChange,
@@ -107,7 +105,6 @@ export const FileListView: React.FC<FileListViewProps> = ({
       rowKey={r => r.name}
       dataSource={entries}
       columns={columns as any}
-      loading={loading}
       pagination={false}
       onRow={(r) => ({
         onClick: (e: any) => onRowClick(r, e),

web/src/pages/FileExplorerPage/components/GridView.tsx

@@ -1,5 +1,5 @@
 import React, { useRef, useState, useEffect } from 'react';
-import { Tooltip, Spin, theme } from 'antd';
+import { Tooltip, theme } from 'antd';
 import { FolderFilled, PictureOutlined } from '@ant-design/icons';
 import type { VfsEntry } from '../../../api/client';
 import { getFileIcon } from './FileIcons';
@@ -10,7 +10,6 @@ interface Props {
   entries: VfsEntry[];
   thumbs: Record<string, string>;
   selectedEntries: string[];
-  loading: boolean;
   path: string;
   onSelect: (e: VfsEntry, additive?: boolean) => void;
   onSelectRange: (names: string[]) => void;
@@ -25,7 +24,7 @@ const formatSize = (size: number) => {
   return (size / 1024 / 1024 / 1024).toFixed(1) + ' GB';
 };
 
-export const GridView: React.FC<Props> = ({ entries, thumbs, selectedEntries, loading, path, onSelect, onSelectRange, onOpen, onContextMenu }) => {
+export const GridView: React.FC<Props> = ({ entries, thumbs, selectedEntries, path, onSelect, onSelectRange, onOpen, onContextMenu }) => {
   const { token } = theme.useToken();
   const { resolvedMode } = useTheme();
   const lightenColor = (hex: string, amount: number) => {
@@ -185,8 +184,7 @@ export const GridView: React.FC<Props> = ({ entries, thumbs, selectedEntries, lo
           }}
         />
       )}
-      {loading && <div style={{ width: '100%', textAlign: 'center', padding: 40 }}><Spin /></div>}
-      {!loading && entries.length === 0 && <EmptyState isRoot={path === '/'} />}
+      {entries.length === 0 && <EmptyState isRoot={path === '/'} />}
     </div>
   );
 };

web/src/pages/FileExplorerPage/components/Header.tsx

@@ -1,5 +1,5 @@
 import React, { useState } from 'react';
-import { Flex, Typography, Divider, Button, Space, Tooltip, Segmented, Breadcrumb, Input, theme } from 'antd';
+import { Flex, Typography, Divider, Button, Space, Tooltip, Segmented, Breadcrumb, Input, theme, Dropdown } from 'antd';
 import { ArrowUpOutlined, ArrowDownOutlined, ReloadOutlined, PlusOutlined, UploadOutlined, AppstoreOutlined, UnorderedListOutlined } from '@ant-design/icons';
 import { Select } from 'antd';
 import { useI18n } from '../../../i18n';
@@ -16,7 +16,8 @@ interface HeaderProps {
   onNavigate: (path: string) => void;
   onRefresh: () => void;
   onCreateDir: () => void;
-  onUpload: () => void;
+  onUploadFile: () => void;
+  onUploadDirectory: () => void;
   onSetViewMode: (mode: ViewMode) => void;
   onSortChange: (sortBy: string, sortOrder: string) => void;
 }
@@ -31,7 +32,8 @@ export const Header: React.FC<HeaderProps> = ({
   onNavigate,
   onRefresh,
   onCreateDir,
-  onUpload,
+  onUploadFile,
+  onUploadDirectory,
   onSetViewMode,
   onSortChange,
 }) => {
@@ -108,7 +110,26 @@ export const Header: React.FC<HeaderProps> = ({
       <Space size={8} wrap>
         <Button size="small" icon={<ReloadOutlined />} onClick={onRefresh} loading={loading}>{t('Refresh')}</Button>
         <Button size="small" icon={<PlusOutlined />} onClick={onCreateDir}>{t('New Folder')}</Button>
-        <Button size="small" icon={<UploadOutlined />} onClick={onUpload}>{t('Upload')}</Button>
+        <Dropdown.Button
+          size="small"
+          icon={<UploadOutlined />}
+          onClick={onUploadFile}
+          menu={{
+            items: [
+              { key: 'file', label: t('Upload Files') },
+              { key: 'folder', label: t('Upload Folder') },
+            ],
+            onClick: ({ key }) => {
+              if (key === 'folder') {
+                onUploadDirectory();
+              } else {
+                onUploadFile();
+              }
+            },
+          }}
+        >
+          {t('Upload')}
+        </Dropdown.Button>
         <Select
           size="small"
           value={sortBy}
@@ -128,7 +149,7 @@ export const Header: React.FC<HeaderProps> = ({
         <Segmented
           size="small"
           value={viewMode}
-          onChange={v => onSetViewMode(v as any)}
+          onChange={value => onSetViewMode(value as ViewMode)}
           options={[
             { label: <Tooltip title={t('Grid')}><AppstoreOutlined /></Tooltip>, value: 'grid' },
             { label: <Tooltip title={t('List')}><UnorderedListOutlined /></Tooltip>, value: 'list' }

web/src/pages/FileExplorerPage/components/LoadingSkeleton.tsx

@@ -0,0 +1,71 @@
+import type { FC } from 'react';
+import { Skeleton, theme } from 'antd';
+
+type LoadingMode = 'grid' | 'list';
+
+interface LoadingSkeletonProps {
+  mode: LoadingMode;
+  count?: number;
+}
+
+const createArray = (length: number) => Array.from({ length }, (_, index) => index);
+
+export const LoadingSkeleton: FC<LoadingSkeletonProps> = ({ mode, count }) => {
+  const { token } = theme.useToken();
+  const fallbackCount = mode === 'grid' ? 50 : 30;
+  const items = createArray(count ?? fallbackCount);
+
+  if (mode === 'grid') {
+    return (
+      <div
+        style={{
+          display: 'grid',
+          gridTemplateColumns: 'repeat(auto-fill, minmax(160px, 1fr))',
+          gap: 16,
+          padding: 16,
+        }}
+      >
+        {items.map((key) => (
+          <div
+            key={key}
+            style={{
+              background: token.colorBgElevated,
+              borderRadius: token.borderRadius,
+              padding: 16,
+              display: 'flex',
+              flexDirection: 'column',
+              gap: 12,
+            }}
+          >
+            <Skeleton.Button active block style={{ height: 96, borderRadius: token.borderRadiusLG }} />
+            <Skeleton active title={false} paragraph={{ rows: 2, width: ['80%', '60%'] }} />
+          </div>
+        ))}
+      </div>
+    );
+  }
+
+  return (
+    <div style={{ padding: '0 16px' }}>
+      {items.map((key) => (
+        <div
+          key={key}
+          style={{
+            display: 'grid',
+            gridTemplateColumns: '48px 1fr',
+            alignItems: 'center',
+            padding: '12px 16px',
+            borderBottom: `1px solid ${token.colorBorderSecondary}`,
+          }}
+        >
+          <Skeleton.Avatar active shape="square" size={32} />
+          <div style={{ paddingLeft: 16 }}>
+            <Skeleton active title={false} paragraph={{ rows: 1, width: '60%' }} />
+            <Skeleton active title={false} paragraph={{ rows: 1, width: '40%' }} />
+          </div>
+        </div>
+      ))}
+    </div>
+  );
+};
+

web/src/pages/FileExplorerPage/components/Modals/UploadModal.tsx

@@ -1,24 +1,57 @@
-import React, { useEffect } from 'react';
-import { Modal, Button, List, Progress, Typography, message, Flex } from 'antd';
+import React, { useEffect, useMemo } from 'react';
+import { Modal, Button, List, Progress, Typography, message, Flex, Tag, Space } from 'antd';
 import { CopyOutlined, CheckCircleFilled, CloseCircleFilled } from '@ant-design/icons';
-import type { UploadFile } from '../../hooks/useUploader';
+import type { ConflictDecision, UploadConflict, UploadFile } from '../../hooks/useUploader';
 import { useI18n } from '../../../../i18n';
 
 interface UploadModalProps {
   visible: boolean;
   files: UploadFile[];
+  isUploading: boolean;
+  totalProgress: number;
+  totalFileBytes: number;
+  uploadedFileBytes: number;
+  conflict: UploadConflict | null;
   onClose: () => void;
   onStartUpload: () => void;
+  onResolveConflict: (decision: ConflictDecision) => void;
 }
 
-const UploadModal: React.FC<UploadModalProps> = ({ visible, files, onClose, onStartUpload }) => {
+const formatBytes = (bytes: number) => {
+  if (bytes <= 0) return '0 B';
+  const units = ['B', 'KB', 'MB', 'GB', 'TB'];
+  const index = Math.min(units.length - 1, Math.floor(Math.log(bytes) / Math.log(1024)));
+  const value = bytes / (1024 ** index);
+  return `${value.toFixed(value >= 10 || index === 0 ? 0 : 1)} ${units[index]}`;
+};
+
+const UploadModal: React.FC<UploadModalProps> = ({
+  visible,
+  files,
+  isUploading,
+  totalProgress,
+  totalFileBytes,
+  uploadedFileBytes,
+  conflict,
+  onClose,
+  onStartUpload,
+  onResolveConflict,
+}) => {
   const { t } = useI18n();
 
-  const allSuccess = files.every(f => f.status === 'success');
-  
+  const summary = useMemo(() => {
+    const total = files.length;
+    const completed = files.filter(f => ['success', 'skipped'].includes(f.status)).length;
+    const failures = files.filter(f => f.status === 'error').length;
+    const pending = files.filter(f => ['pending', 'waiting', 'uploading'].includes(f.status)).length;
+    return { total, completed, failures, pending };
+  }, [files]);
+
+  const allFinished = files.length > 0 && files.every(f => ['success', 'error', 'skipped'].includes(f.status));
+
   useEffect(() => {
-    if (visible && files.length > 0 && files.every(f => f.status === 'pending')) {
-        onStartUpload();
+    if (visible && files.length > 0 && files.some(f => f.status === 'pending')) {
+      onStartUpload();
     }
   }, [visible, files, onStartUpload]);
 
@@ -28,6 +61,29 @@ const UploadModal: React.FC<UploadModalProps> = ({ visible, files, onClose, onSt
   };
 
   const renderStatus = (file: UploadFile) => {
+    if (file.type === 'directory') {
+      if (file.status === 'uploading') {
+        return <Typography.Text type="secondary">{t('Creating directory...')}</Typography.Text>;
+      }
+      if (file.status === 'success') {
+        return (
+          <Flex align="center" gap={8}>
+            <CheckCircleFilled style={{ color: 'var(--ant-color-success, #52c41a)' }} />
+            <Typography.Text type="secondary">{t('Directory ready')}</Typography.Text>
+          </Flex>
+        );
+      }
+      if (file.status === 'error') {
+        return (
+          <Flex align="center" gap={8}>
+            <CloseCircleFilled style={{ color: 'var(--ant-color-error, #ff4d4f)' }} />
+            <Typography.Text type="danger" title={file.error}>{t('Create directory failed')}</Typography.Text>
+          </Flex>
+        );
+      }
+      return <Typography.Text type="secondary">{t('Waiting to create')}</Typography.Text>;
+    }
+
     switch (file.status) {
       case 'uploading':
         return <Progress percent={Math.round(file.progress)} size="small" />;
@@ -39,6 +95,10 @@ const UploadModal: React.FC<UploadModalProps> = ({ visible, files, onClose, onSt
             <Button icon={<CopyOutlined />} size="small" onClick={() => handleCopy(file.permanentLink!)} type="text" />
           </Flex>
         );
+      case 'waiting':
+        return <Typography.Text type="warning">{t('Waiting for overwrite decision')}</Typography.Text>;
+      case 'skipped':
+        return <Typography.Text type="secondary">{t('Skipped')}</Typography.Text>;
       case 'error':
         return (
             <Flex align="center" gap={8}>
@@ -56,13 +116,72 @@ const UploadModal: React.FC<UploadModalProps> = ({ visible, files, onClose, onSt
       open={visible}
       title={t('Upload File')}
       width={600}
+      closable={!isUploading}
+      maskClosable={!isUploading}
       onCancel={onClose}
       footer={[
-        <Button key="close" onClick={onClose} disabled={!allSuccess && files.some(f => f.status === 'uploading')}>
-          {allSuccess ? t('Close') : t('Done')}
+        <Button key="close" onClick={onClose} disabled={!allFinished || isUploading}>
+          {allFinished ? t('Close') : t('Done')}
         </Button>,
       ]}
     >
+      <Space direction="vertical" style={{ width: '100%' }} size={16}>
+        <div>
+          <Flex justify="space-between" align="center">
+            <Typography.Text strong>
+              {t('Total progress')}:
+            </Typography.Text>
+            <Typography.Text type="secondary">
+              {t('Upload bytes summary', {
+                uploaded: formatBytes(uploadedFileBytes),
+                total: formatBytes(totalFileBytes),
+              })}
+            </Typography.Text>
+          </Flex>
+          <Progress percent={Math.round(totalProgress)} showInfo />
+          <Typography.Text type="secondary">
+            {t('Upload task summary', {
+              completed: summary.completed,
+              total: summary.total,
+              pending: summary.pending,
+              failures: summary.failures,
+            })}
+          </Typography.Text>
+        </div>
+
+        {conflict && (
+          <div
+            style={{
+              border: '1px solid var(--ant-color-warning-border, #faad14)',
+              borderRadius: 8,
+              padding: '12px 16px',
+              background: 'var(--ant-color-warning-bg, rgba(250,173,20,0.1))',
+            }}
+          >
+            <Typography.Text strong>
+              {t('Overwrite confirmation required')}
+            </Typography.Text>
+            <Typography.Paragraph type="secondary" style={{ marginBottom: 12 }}>
+              {t('Target already exists: {path}', { path: conflict.relativePath })}
+            </Typography.Paragraph>
+            <Flex gap={8} wrap="wrap">
+              <Button size="small" type="primary" onClick={() => onResolveConflict('overwrite')}>
+                {t('Overwrite')}
+              </Button>
+              <Button size="small" onClick={() => onResolveConflict('skip')}>
+                {t('Skip')}
+              </Button>
+              <Button size="small" type="primary" onClick={() => onResolveConflict('overwriteAll')}>
+                {t('Overwrite All')}
+              </Button>
+              <Button size="small" onClick={() => onResolveConflict('skipAll')}>
+                {t('Skip All')}
+              </Button>
+            </Flex>
+          </div>
+        )}
+      </Space>
+
       <List
         dataSource={files}
         itemLayout="horizontal"
@@ -77,9 +196,16 @@ const UploadModal: React.FC<UploadModalProps> = ({ visible, files, onClose, onSt
             onMouseLeave={(e) => { e.currentTarget.style.backgroundColor = 'transparent'; }}
           >
             <Flex justify="space-between" align="center" style={{ width: '100%' }}>
-              <Typography.Text ellipsis={{ tooltip: file.file.name }} style={{ maxWidth: '60%' }}>
-                {file.file.name}
-              </Typography.Text>
+              <Flex align="center" gap={8} style={{ maxWidth: '60%', overflow: 'hidden' }}>
+                <Typography.Text ellipsis={{ tooltip: file.relativePath }} style={{ maxWidth: '100%' }}>
+                  {file.relativePath}
+                </Typography.Text>
+                {file.type === 'directory' ? (
+                  <Tag color="blue">{t('Directory')}</Tag>
+                ) : (
+                  <Tag color="geekblue">{formatBytes(file.size)}</Tag>
+                )}
+              </Flex>
               <div style={{ minWidth: 180, textAlign: 'right', flexShrink: 0 }}>
                 {renderStatus(file)}
               </div>

web/src/pages/FileExplorerPage/hooks/useThumbnails.ts

@@ -13,7 +13,7 @@ export function useThumbnails(entries: VfsEntry[], path: string) {
 
   useEffect(() => {
     const newThumbs: Record<string, string> = {};
-    const targets = entries.filter(e => !e.is_dir && (e as any).is_image && !thumbs[e.name]);
+    const targets = entries.filter(e => !e.is_dir && (e as any).has_thumbnail && !thumbs[e.name]);
 
     if (targets.length > 0) {
       targets.forEach(ent => {
@@ -37,4 +37,4 @@ export function useThumbnails(entries: VfsEntry[], path: string) {
   }, [entries, path, thumbs]);
 
   return { thumbs };
-}
+}

web/src/pages/FileExplorerPage/hooks/useUploader.ts

@@ -1,103 +1,592 @@
-import { useState, useCallback, useRef } from 'react';
+import type { ChangeEvent, RefObject } from 'react';
+import { useState, useCallback, useRef, useMemo, useEffect } from 'react';
+import { message } from 'antd';
 import { vfsApi } from '../../../api/client';
-import { message }
-from 'antd';
+import { useI18n } from '../../../i18n';
+
+type UploadStatus = 'pending' | 'waiting' | 'uploading' | 'success' | 'error' | 'skipped';
 
 export interface UploadFile {
   id: string;
-  file: File;
-  status: 'pending' | 'uploading' | 'success' | 'error';
+  name: string;
+  relativePath: string;
+  targetPath: string;
+  type: 'file' | 'directory';
+  size: number;
+  loadedBytes: number;
+  status: UploadStatus;
   progress: number;
   error?: string;
   permanentLink?: string;
+  file?: File;
 }
 
+export type ConflictDecision = 'overwrite' | 'skip' | 'overwriteAll' | 'skipAll';
+
+export interface UploadConflict {
+  taskId: string;
+  relativePath: string;
+  targetPath: string;
+  type: 'file' | 'directory';
+}
+
+interface RawUploadFile {
+  kind: 'file';
+  relativePath: string;
+  file: File;
+}
+
+interface RawUploadDirectory {
+  kind: 'directory';
+  relativePath: string;
+}
+
+type RawUploadItem = RawUploadFile | RawUploadDirectory;
+
+const generateId = (() => {
+  const cryptoApi = typeof crypto !== 'undefined' ? crypto : undefined;
+  return () => {
+    if (cryptoApi?.randomUUID) return cryptoApi.randomUUID();
+    return `upload-${Date.now()}-${Math.random().toString(16).slice(2, 10)}`;
+  };
+})();
+
+const normalizeRelativePath = (path: string) => path.replace(/\\/g, '/').replace(/^\/+/, '').replace(/\/+$/, '');
+
+const joinWithBasePath = (base: string, relative: string) => {
+  const cleanedBase = base === '/' ? '' : base.replace(/\/+$/, '');
+  const cleanedRelative = normalizeRelativePath(relative);
+  const parts = [cleanedBase, cleanedRelative].filter(Boolean);
+  const joined = parts.join('/');
+  return joined.startsWith('/') ? joined : `/${joined}`;
+};
+
+const collectParentDirectories = (relativePath: string) => {
+  const normalized = normalizeRelativePath(relativePath);
+  if (!normalized) return [];
+  const segments = normalized.split('/').slice(0, -1);
+  const dirs: string[] = [];
+  for (let i = 1; i <= segments.length; i += 1) {
+    const dir = segments.slice(0, i).join('/');
+    if (dir) dirs.push(dir);
+  }
+  return dirs;
+};
+
+const collectAllDirectories = (items: RawUploadItem[]) => {
+  const directories = new Set<string>();
+  items.forEach((item) => {
+    if (item.kind === 'directory') {
+      const normalized = normalizeRelativePath(item.relativePath);
+      if (normalized) directories.add(normalized);
+    } else {
+      collectParentDirectories(item.relativePath).forEach((dir) => directories.add(dir));
+    }
+  });
+  return Array.from(directories).sort((a, b) => a.localeCompare(b));
+};
+
+interface WebkitFileSystemFileEntry {
+  isFile: true;
+  isDirectory: false;
+  name: string;
+  fullPath: string;
+  file: (
+    successCallback: (file: File) => void,
+    errorCallback?: (err: DOMException) => void,
+  ) => void;
+}
+
+interface WebkitFileSystemDirectoryReader {
+  readEntries: (
+    successCallback: (entries: WebkitFileSystemEntry[]) => void,
+    errorCallback?: (err: DOMException) => void,
+  ) => void;
+}
+
+interface WebkitFileSystemDirectoryEntry {
+  isFile: false;
+  isDirectory: true;
+  name: string;
+  fullPath: string;
+  createReader: () => WebkitFileSystemDirectoryReader;
+}
+
+type WebkitFileSystemEntry = WebkitFileSystemFileEntry | WebkitFileSystemDirectoryEntry;
+
+const safeStat = async (fullPath: string): Promise<{ is_dir?: boolean } | null> => {
+  try {
+    return await vfsApi.stat(fullPath) as { is_dir?: boolean };
+  } catch {
+    return null;
+  }
+};
+
+const readAllDirectoryEntries = (directoryEntry: WebkitFileSystemDirectoryEntry): Promise<WebkitFileSystemEntry[]> =>
+  new Promise((resolve, reject) => {
+    const reader = directoryEntry.createReader();
+    const entries: WebkitFileSystemEntry[] = [];
+    const readBatch = () => {
+      reader.readEntries(
+        (batch: WebkitFileSystemEntry[]) => {
+          if (batch.length === 0) {
+            resolve(entries);
+          } else {
+            entries.push(...batch);
+            readBatch();
+          }
+        },
+        (err: DOMException) => reject(err),
+      );
+    };
+    readBatch();
+  });
+
+const traverseEntry = async (
+  entry: WebkitFileSystemEntry,
+  parentPath: string,
+  bucket: RawUploadItem[],
+) => {
+  if (!entry) return;
+  const currentPath = parentPath ? `${parentPath}/${entry.name}` : entry.name;
+  if (entry.isFile) {
+    const file: File = await new Promise((resolve, reject) => {
+      entry.file(
+        (f: File) => resolve(f),
+        (err: DOMException) => reject(err),
+      );
+    });
+    bucket.push({
+      kind: 'file',
+      relativePath: currentPath,
+      file,
+    });
+  } else if (entry.isDirectory) {
+    bucket.push({
+      kind: 'directory',
+      relativePath: currentPath,
+    });
+    const entries = await readAllDirectoryEntries(entry);
+    for (const child of entries) {
+      await traverseEntry(child, currentPath, bucket);
+    }
+  }
+};
+
+const collectFromFileList = async (list: FileList): Promise<RawUploadItem[]> => {
+  const items: RawUploadItem[] = [];
+  for (const file of Array.from(list)) {
+    const fileWithPath = file as File & { webkitRelativePath?: string };
+    const relativePath = fileWithPath.webkitRelativePath || file.name;
+    items.push({
+      kind: 'file',
+      relativePath,
+      file,
+    });
+  }
+  return items;
+};
+
+const collectFromDataTransfer = async (dataTransfer: DataTransfer): Promise<RawUploadItem[]> => {
+  const items: RawUploadItem[] = [];
+  if (dataTransfer.items && dataTransfer.items.length > 0) {
+    for (const item of Array.from(dataTransfer.items)) {
+      const itemWithEntry = item as DataTransferItem & {
+        webkitGetAsEntry?: () => FileSystemEntry | null;
+      };
+      const entry = itemWithEntry.webkitGetAsEntry ? (itemWithEntry.webkitGetAsEntry() as unknown as WebkitFileSystemEntry) : null;
+      if (entry) {
+        await traverseEntry(entry, '', items);
+      } else if (item.kind === 'file') {
+        const file = item.getAsFile();
+        if (file) {
+          items.push({
+            kind: 'file',
+            relativePath: file.name,
+            file,
+          });
+        }
+      }
+    }
+  } else if (dataTransfer.files && dataTransfer.files.length > 0) {
+    return collectFromFileList(dataTransfer.files);
+  }
+  return items;
+};
+
+const createUploadTasks = (basePath: string, items: RawUploadItem[]): UploadFile[] => {
+  const idGenerator = generateId;
+  const directories = collectAllDirectories(items);
+  const directoryTasks: UploadFile[] = directories.map((relativePath) => {
+    const targetPath = joinWithBasePath(basePath, relativePath);
+    const segments = normalizeRelativePath(relativePath).split('/');
+    const name = segments[segments.length - 1] || targetPath;
+    return {
+      id: idGenerator(),
+      name,
+      relativePath,
+      targetPath,
+      type: 'directory',
+      size: 0,
+      loadedBytes: 0,
+      status: 'pending',
+      progress: 0,
+    };
+  });
+
+  const fileTasks: UploadFile[] = items
+    .filter((item): item is RawUploadFile => item.kind === 'file')
+    .map((item) => {
+      const relativePath = normalizeRelativePath(item.relativePath) || item.file.name;
+      const targetPath = joinWithBasePath(basePath, relativePath);
+      return {
+        id: idGenerator(),
+        name: item.file.name,
+        relativePath,
+        targetPath,
+        type: 'file',
+        size: item.file.size,
+        loadedBytes: 0,
+        status: 'pending',
+        progress: 0,
+        file: item.file,
+      };
+    });
+
+  return [...directoryTasks, ...fileTasks];
+};
+
 export function useUploader(path: string, onUploadComplete: () => void) {
+  const { t } = useI18n();
   const [files, setFiles] = useState<UploadFile[]>([]);
   const [isModalVisible, setIsModalVisible] = useState(false);
-  const fileInputRef = useRef<HTMLInputElement | null>(null);
+  const [isUploading, setIsUploading] = useState(false);
+  const [conflict, setConflict] = useState<UploadConflict | null>(null);
+  const conflictResolverRef = useRef<((decision: ConflictDecision) => void) | null>(null);
+  const overwriteAllRef = useRef(false);
+  const skipAllRef = useRef(false);
+  const createdDirsRef = useRef<Set<string>>(new Set());
+  const filesRef = useRef<UploadFile[]>(files);
+  const isUploadingRef = useRef(false);
 
-  const openModal = useCallback(() => {
+  const fileInputRef = useRef<HTMLInputElement | null>(null);
+  const directoryInputRef = useRef<HTMLInputElement | null>(null);
+
+  useEffect(() => {
+    const node = directoryInputRef.current;
+    if (!node) return;
+    node.setAttribute('webkitdirectory', '');
+    node.setAttribute('directory', '');
+  }, []);
+
+  const mutateFiles = useCallback((updater: (prev: UploadFile[]) => UploadFile[]) => {
+    setFiles((prev) => {
+      const next = updater(prev);
+      filesRef.current = next;
+      return next;
+    });
+  }, []);
+
+  const replaceFiles = useCallback((next: UploadFile[]) => {
+    filesRef.current = next;
+    setFiles(next);
+  }, []);
+
+  const updateFile = useCallback((id: string, patch: Partial<UploadFile>) => {
+    mutateFiles((prev) => prev.map((f) => (f.id === id ? { ...f, ...patch } : f)));
+  }, [mutateFiles]);
+
+  const resetOverwriteDecisions = useCallback(() => {
+    overwriteAllRef.current = false;
+    skipAllRef.current = false;
+  }, []);
+
+  const openFilePicker = useCallback(() => {
     if (fileInputRef.current) {
       fileInputRef.current.click();
     }
   }, []);
 
-  const closeModal = useCallback(() => {
-    setIsModalVisible(false);
-    setFiles([]);
+  const openDirectoryPicker = useCallback(() => {
+    if (directoryInputRef.current) {
+      directoryInputRef.current.click();
+    }
   }, []);
 
-  const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
+  const closeModal = useCallback(() => {
+    if (isUploadingRef.current) {
+      return;
+    }
+    setIsModalVisible(false);
+    replaceFiles([]);
+    resetOverwriteDecisions();
+    setConflict(null);
+    conflictResolverRef.current = null;
+    createdDirsRef.current = new Set();
+  }, [replaceFiles, resetOverwriteDecisions]);
+
+  const prepareQueue = useCallback((items: RawUploadItem[]) => {
+    if (!items.length) {
+      message.info(t('No items selected for upload'));
+      return;
+    }
+    const tasks = createUploadTasks(path, items);
+    if (!tasks.length) {
+      message.info(t('No uploadable files or directories found'));
+      return;
+    }
+    replaceFiles(tasks);
+    resetOverwriteDecisions();
+    createdDirsRef.current = new Set();
+    setIsModalVisible(true);
+  }, [path, replaceFiles, resetOverwriteDecisions, t]);
+
+  const handleInputChange = useCallback(async (event: ChangeEvent<HTMLInputElement>, ref: RefObject<HTMLInputElement | null>) => {
     const selectedFiles = event.target.files;
-    if (selectedFiles && selectedFiles.length > 0) {
-      const newFiles: UploadFile[] = Array.from(selectedFiles).map(file => ({
-        id: `${file.name}-${Date.now()}`,
-        file,
-        status: 'pending',
-        progress: 0,
-      }));
-      setFiles(newFiles);
-      setIsModalVisible(true);
-      if (fileInputRef.current) {
-        fileInputRef.current.value = '';
+    if (!selectedFiles || selectedFiles.length === 0) {
+      return;
+    }
+    const items = await collectFromFileList(selectedFiles);
+    prepareQueue(items);
+    if (ref.current) {
+      ref.current.value = '';
+    }
+  }, [prepareQueue]);
+
+  const handleFileInputChange = useCallback(async (event: ChangeEvent<HTMLInputElement>) => {
+    await handleInputChange(event, fileInputRef);
+  }, [handleInputChange]);
+
+  const handleDirectoryInputChange = useCallback(async (event: ChangeEvent<HTMLInputElement>) => {
+    await handleInputChange(event, directoryInputRef);
+  }, [handleInputChange]);
+
+  const handleFileDrop = useCallback(async (data: DataTransfer) => {
+    const items = await collectFromDataTransfer(data);
+    prepareQueue(items);
+  }, [prepareQueue]);
+
+  const awaitConflictDecision = useCallback(async (task: UploadFile): Promise<'overwrite' | 'skip'> => {
+    if (overwriteAllRef.current) {
+      return 'overwrite';
+    }
+    if (skipAllRef.current) {
+      return 'skip';
+    }
+    return new Promise<'overwrite' | 'skip'>((resolve) => {
+      updateFile(task.id, { status: 'waiting' });
+      setConflict({
+        taskId: task.id,
+        relativePath: task.relativePath,
+        targetPath: task.targetPath,
+        type: task.type,
+      });
+      conflictResolverRef.current = (decision: ConflictDecision) => {
+        if (decision === 'overwriteAll') {
+          overwriteAllRef.current = true;
+          resolve('overwrite');
+        } else if (decision === 'skipAll') {
+          skipAllRef.current = true;
+          resolve('skip');
+        } else if (decision === 'overwrite') {
+          resolve('overwrite');
+        } else {
+          resolve('skip');
+        }
+      };
+    });
+  }, [updateFile]);
+
+  const confirmConflict = useCallback((decision: ConflictDecision) => {
+    if (!conflictResolverRef.current) {
+      return;
+    }
+    const resolver = conflictResolverRef.current;
+    conflictResolverRef.current = null;
+    setConflict(null);
+    resolver(decision);
+  }, []);
+
+  const ensureDirectory = useCallback(async (fullPath: string) => {
+    const normalized = fullPath.replace(/\/+/g, '/');
+    if (!normalized || normalized === '/') {
+      return;
+    }
+    if (createdDirsRef.current.has(normalized)) {
+      return;
+    }
+    try {
+      await vfsApi.mkdir(normalized);
+    } catch (err: unknown) {
+      const messageText = err instanceof Error ? err.message : String(err);
+      if (!/exist/i.test(messageText)) {
+        throw err;
       }
+    } finally {
+      createdDirsRef.current.add(normalized);
     }
-  };
+  }, []);
 
-  const handleFileDrop = (droppedFiles: FileList) => {
-    if (droppedFiles && droppedFiles.length > 0) {
-      const newFiles: UploadFile[] = Array.from(droppedFiles).map(file => ({
-        id: `${file.name}-${Date.now()}`,
-        file,
-        status: 'pending',
-        progress: 0,
-      }));
-      setFiles(newFiles);
-      setIsModalVisible(true);
+  const ensureDirectoryTree = useCallback(async (targetDir: string) => {
+    if (!targetDir || targetDir === '/') return;
+    const normalized = targetDir.replace(/\/+/g, '/');
+    const segments = normalized.replace(/^\/+/, '').split('/').filter(Boolean);
+    let current = '';
+    for (const segment of segments) {
+      current = `${current}/${segment}`;
+      await ensureDirectory(current.startsWith('/') ? current : `/${current}`);
     }
-  };
+  }, [ensureDirectory]);
 
-  const startUpload = useCallback(async () => {
-    if (files.length === 0) {
+  const processDirectoryTask = useCallback(async (task: UploadFile) => {
+    updateFile(task.id, { status: 'uploading', progress: 10 });
+    const stat = await safeStat(task.targetPath);
+    if (stat && !stat.is_dir) {
+      const error = t('Directory conflicts with existing file');
+      updateFile(task.id, { status: 'error', progress: 0, error });
+      message.error(`${task.relativePath}: ${error}`);
+      return;
+    }
+    try {
+      await ensureDirectory(task.targetPath);
+      updateFile(task.id, { status: 'success', progress: 100 });
+    } catch (err: unknown) {
+      const error = err instanceof Error ? err.message : t('Create directory failed');
+      updateFile(task.id, { status: 'error', progress: 0, error });
+      message.error(`${task.relativePath}: ${error}`);
+    }
+  }, [ensureDirectory, updateFile, t]);
+
+  const processFileTask = useCallback(async (task: UploadFile) => {
+    if (!task.file) {
+      updateFile(task.id, { status: 'error', error: t('Missing file content') });
       return;
     }
 
-    const dir = path === '/' ? '' : path;
+    if (skipAllRef.current) {
+      updateFile(task.id, { status: 'skipped', progress: 0 });
+      return;
+    }
 
-    for (const uploadFile of files) {
-      if (uploadFile.status !== 'pending') continue;
-      
-      setFiles(prev => prev.map(f => f.id === uploadFile.id ? { ...f, status: 'uploading' } : f));
-      
-      const dest = (dir + '/' + uploadFile.file.name).replace(/\/+/g, '/');
-
-      try {
-        await vfsApi.uploadStream(dest, uploadFile.file, true, (loaded, total) => {
-          const progress = total > 0 ? (loaded / total) * 100 : 0;
-          setFiles(prev => prev.map(f => f.id === uploadFile.id ? { ...f, progress } : f));
-        });
-
-        const link = await vfsApi.getTempLinkToken(dest, 60 * 60 * 24 * 365 * 10); 
-        const permanentLink = vfsApi.getTempPublicUrl(link.token);
-
-        setFiles(prev => prev.map(f => f.id === uploadFile.id ? { ...f, status: 'success', progress: 100, permanentLink } : f));
-      } catch (e: any) {
-        setFiles(prev => prev.map(f => f.id === uploadFile.id ? { ...f, status: 'error', error: e.message } : f));
-        message.error(`Upload failed: ${uploadFile.file.name} - ${e.message}`);
+    let shouldOverwrite = overwriteAllRef.current;
+    if (!shouldOverwrite) {
+      const stat = await safeStat(task.targetPath);
+      if (stat) {
+        const decision = await awaitConflictDecision(task);
+        if (decision === 'skip') {
+          updateFile(task.id, { status: 'skipped', progress: 0 });
+          return;
+        }
+        shouldOverwrite = true;
       }
     }
-    
-    onUploadComplete();
-  }, [files, path, onUploadComplete]);
+
+    setConflict(null);
+    updateFile(task.id, { status: 'uploading', progress: 0, loadedBytes: 0 });
+
+    const parentDir = task.targetPath.replace(/\/[^/]+$/, '') || '/';
+    try {
+      await ensureDirectoryTree(parentDir);
+      await vfsApi.uploadStream(task.targetPath, task.file, shouldOverwrite, (loaded, total) => {
+        mutateFiles((prev) => prev.map((f) => {
+          if (f.id !== task.id) return f;
+          const effectiveTotal = total > 0 ? total : f.size;
+          const size = Math.max(f.size, effectiveTotal, loaded);
+          const percent = size > 0 ? Math.min(100, Math.round((loaded / size) * 100)) : 0;
+          return {
+            ...f,
+            size,
+            loadedBytes: loaded,
+            progress: percent,
+          };
+        }));
+      });
+
+      const link = await vfsApi.getTempLinkToken(task.targetPath, 60 * 60 * 24 * 365 * 10);
+      const permanentLink = vfsApi.getTempPublicUrl(link.token);
+      updateFile(task.id, { status: 'success', progress: 100, loadedBytes: task.size, permanentLink });
+    } catch (err: unknown) {
+      const error = err instanceof Error ? err.message : t('Upload failed');
+      updateFile(task.id, { status: 'error', error, progress: 0 });
+      message.error(`${task.relativePath}: ${error}`);
+    }
+  }, [ensureDirectoryTree, awaitConflictDecision, mutateFiles, updateFile, t]);
+
+  const startUpload = useCallback(async () => {
+    if (isUploadingRef.current) return;
+    if (!filesRef.current.length) return;
+
+    isUploadingRef.current = true;
+    setIsUploading(true);
+    try {
+      for (const task of filesRef.current) {
+        if (task.status !== 'pending' && task.status !== 'waiting') {
+          continue;
+        }
+        if (task.type === 'directory') {
+          await processDirectoryTask(task);
+        } else {
+          await processFileTask(task);
+        }
+      }
+      onUploadComplete();
+    } finally {
+      isUploadingRef.current = false;
+      setIsUploading(false);
+    }
+  }, [onUploadComplete, processDirectoryTask, processFileTask]);
+
+  const totalFileBytes = useMemo(
+    () => files.reduce((acc, f) => acc + (f.type === 'file' ? f.size : 0), 0),
+    [files],
+  );
+
+  const uploadedFileBytes = useMemo(
+    () => files.reduce((acc, f) => {
+      if (f.type !== 'file') return acc;
+      const loaded = Math.min(f.loadedBytes, f.size);
+      if (f.status === 'success') {
+        return acc + (f.size || loaded);
+      }
+      if (f.status === 'uploading' || f.status === 'waiting') {
+        return acc + loaded;
+      }
+      return acc;
+    }, 0),
+    [files],
+  );
+
+  const directoryCounts = useMemo(() => {
+    const directories = files.filter((f) => f.type === 'directory');
+    const completed = directories.filter((f) => f.status === 'success').length;
+    return {
+      total: directories.length,
+      completed,
+    };
+  }, [files]);
+
+  const totalWeight = totalFileBytes + directoryCounts.total;
+  const totalProgress = totalWeight === 0
+    ? 0
+    : ((uploadedFileBytes + directoryCounts.completed) / totalWeight) * 100;
 
   return {
     files,
     isModalVisible,
+    isUploading,
+    totalProgress: Math.min(100, Math.max(0, totalProgress)),
+    totalFileBytes,
+    uploadedFileBytes,
+    conflict,
+    confirmConflict,
+    resetOverwriteDecisions,
     fileInputRef,
-    openModal,
+    directoryInputRef,
+    openFilePicker,
+    openDirectoryPicker,
     closeModal,
-    handleFileChange,
+    handleFileInputChange,
+    handleDirectoryInputChange,
     handleFileDrop,
     startUpload,
   };

web/src/pages/LoginPage.tsx

@@ -6,6 +6,7 @@ import { useSystemStatus } from '../contexts/SystemContext';
 import { useNavigate } from 'react-router';
 import { useI18n } from '../i18n';
 import LanguageSwitcher from '../components/LanguageSwitcher';
+import WeChatModal from '../components/WeChatModal';
 
 const { Title, Text } = Typography;
 
@@ -16,6 +17,7 @@ export default function LoginPage() {
   const [password, setPassword] = useState('');
   const [err, setErr] = useState('');
   const [loading, setLoading] = useState(false);
+  const [wechatModalOpen, setWechatModalOpen] = useState(false);
   const navigate = useNavigate();
   const { t } = useI18n();
 
@@ -167,11 +169,12 @@ export default function LoginPage() {
               <Text type="secondary">{t('Join our community:')}</Text>
               <Button type="text" icon={<GithubOutlined />} href="https://github.com/DrizzleTime/Foxel" target="_blank">GitHub</Button>
               <Button type="text" icon={<SendOutlined />} href="https://t.me/+thDsBfyqJxZkNTU1" target="_blank">Telegram</Button>
-              <Button type="text" icon={<WechatOutlined />}>微信</Button>
+              <Button type="text" icon={<WechatOutlined />} onClick={() => setWechatModalOpen(true)}>微信</Button>
             </div>
           </div>
         </div>
       </div>
+      <WeChatModal open={wechatModalOpen} onClose={() => setWechatModalOpen(false)} />
     </div>
   );
 }

web/src/pages/ProcessorsPage.tsx

@@ -1,13 +1,16 @@
 import { memo, useCallback, useEffect, useMemo, useState } from 'react';
 import {
   Button,
+  Alert,
   Card,
   Empty,
   Flex,
   Form,
   Input,
+  InputNumber,
   message,
   Modal,
+  Segmented,
   Space,
   Spin,
   Switch,
@@ -134,23 +137,36 @@ const ProcessorsPage = memo(function ProcessorsPage() {
       overwrite: !!selectedProcessorMeta.produces_file,
       save_to: undefined,
       config: defaults,
+      directory_scope: 'current',
+      max_depth: undefined,
+      suffix: undefined,
     });
     setIsDirectory(false);
   }, [selectedProcessorMeta, form]);
 
-  const overwriteValue = Form.useWatch('overwrite', form) ?? false;
+  const producesFile = selectedProcessorMeta?.produces_file ?? false;
+  const overwriteWatch = Form.useWatch('overwrite', form);
+  const overwriteValue = producesFile ? !!overwriteWatch : false;
+  const directoryScope = Form.useWatch('directory_scope', form) ?? 'current';
 
   useEffect(() => {
     if (overwriteValue) {
-      form.setFieldsValue({ save_to: undefined });
+      form.setFieldsValue({ save_to: undefined, suffix: undefined });
     }
   }, [overwriteValue, form]);
 
   useEffect(() => {
     if (isDirectory) {
-      form.setFieldsValue({ overwrite: true, save_to: undefined });
+      form.setFieldsValue({
+        overwrite: producesFile ? true : false,
+        save_to: undefined,
+        directory_scope: 'current',
+        max_depth: undefined,
+      });
+    } else {
+      form.setFieldsValue({ suffix: undefined });
     }
-  }, [isDirectory, form]);
+  }, [isDirectory, form, producesFile]);
 
   const handleSelectProcessor = useCallback((type: string) => {
     if (type === selectedType) return;
@@ -232,17 +248,38 @@ const ProcessorsPage = memo(function ProcessorsPage() {
         }
       });
       setRunning(true);
-      const payload: any = {
-        path: values.path,
-        processor_type: selectedType,
-        config: finalConfig,
-        overwrite: !!values.overwrite,
-      };
-      if (values.save_to && !values.overwrite) {
-        payload.save_to = values.save_to;
+      const overwriteFlag = producesFile ? !!values.overwrite : false;
+      if (isDirectory) {
+        const scope: 'current' | 'recursive' = values.directory_scope || 'current';
+        let maxDepth: number | null = scope === 'current' ? 0 : null;
+        if (scope === 'recursive' && typeof values.max_depth === 'number') {
+          maxDepth = values.max_depth;
+        }
+        const suffixValue = producesFile && !overwriteFlag && typeof values.suffix === 'string'
+          ? values.suffix.trim() || null
+          : null;
+        const resp = await processorsApi.processDirectory({
+          path: values.path,
+          processor_type: selectedType,
+          config: finalConfig,
+          overwrite: overwriteFlag,
+          max_depth: maxDepth,
+          suffix: suffixValue,
+        });
+        messageApi.success(`${t('Task submitted')}: ${resp.scheduled}`);
+      } else {
+        const payload: any = {
+          path: values.path,
+          processor_type: selectedType,
+          config: finalConfig,
+          overwrite: overwriteFlag,
+        };
+        if (values.save_to && !overwriteFlag) {
+          payload.save_to = values.save_to;
+        }
+        const resp = await processorsApi.process(payload);
+        messageApi.success(`${t('Task submitted')}: ${resp.task_id}`);
       }
-      const resp = await processorsApi.process(payload);
-      messageApi.success(`${t('Task submitted')}: ${resp.task_id}`);
     } catch (err: any) {
       if (err?.errorFields) {
         return;
@@ -251,7 +288,7 @@ const ProcessorsPage = memo(function ProcessorsPage() {
     } finally {
       setRunning(false);
     }
-  }, [form, messageApi, selectedProcessorMeta, selectedType, t]);
+  }, [form, isDirectory, messageApi, producesFile, selectedProcessorMeta, selectedType, t]);
 
   const selectedConfigPath = pathModalField === 'path'
     ? (selectedType ? form.getFieldValue('path') : undefined) || '/'
@@ -379,11 +416,6 @@ const ProcessorsPage = memo(function ProcessorsPage() {
         <Form form={form} layout="vertical" disabled={!selectedType} style={{ padding: '12px 0' }}>
           {selectedType ? (
             <>
-              {isDirectory && (
-                <Text type="secondary" style={{ display: 'block', marginBottom: 12 }}>
-                  {t('Directory processing always overwrites original files')}
-                </Text>
-              )}
               <Form.Item
                 label={t('Target Path')}
                 required
@@ -402,16 +434,71 @@ const ProcessorsPage = memo(function ProcessorsPage() {
                   <Button onClick={() => openPathSelector('path', 'directory')}>{t('Select Directory')}</Button>
                 </Flex>
               </Form.Item>
+              {isDirectory && (
+                <Space direction="vertical" size={12} style={{ width: '100%', marginBottom: 12 }}>
+                  <Alert
+                    type="info"
+                    showIcon
+                    message={t('Directory execution will enqueue one task per file')}
+                  />
+                  <Form.Item name="directory_scope" label={t('Directory scope')} initialValue="current">
+                    <Segmented
+                      options={[
+                        { label: t('Current level only'), value: 'current' },
+                        { label: t('Include subdirectories'), value: 'recursive' },
+                      ]}
+                    />
+                  </Form.Item>
+                  {directoryScope === 'recursive' && (
+                    <Form.Item
+                      name="max_depth"
+                      label={t('Max depth')}
+                      extra={t('Leave empty to traverse all subdirectories')}
+                      rules={[{
+                        validator: async (_: any, value: number | null) => {
+                          if (value === undefined || value === null) return;
+                          if (value < 0) throw new Error(t('Depth must be greater or equal to 0'));
+                        },
+                      }]}
+                    >
+                      <InputNumber min={0} placeholder={t('Unlimited')} style={{ width: '100%' }} />
+                    </Form.Item>
+                  )}
+                </Space>
+              )}
 
-              <Form.Item
-                name="overwrite"
-                label={t('Overwrite original')}
-                valuePropName="checked"
-              >
-                <Switch disabled={isDirectory} />
-              </Form.Item>
+              {producesFile && (
+                <Form.Item
+                  name="overwrite"
+                  label={t('Overwrite original')}
+                  valuePropName="checked"
+                >
+                  <Switch />
+                </Form.Item>
+              )}
 
-              {selectedProcessorMeta?.produces_file && !overwriteValue && (
+              {isDirectory && producesFile && !overwriteValue && (
+                <Form.Item
+                  name="suffix"
+                  label={t('Output suffix')}
+                  rules={[
+                    { required: true, message: t('Please input a suffix') },
+                    {
+                      validator: async (_: any, value: string) => {
+                        if (typeof value !== 'string') return;
+                        if (!value.trim()) {
+                          throw new Error(t('Suffix cannot be empty'));
+                        }
+                      },
+                    },
+                  ]}
+                  extra={t('Suffix will be inserted before the file extension, e.g. demo_processed.mp4')}
+                >
+                  <Input placeholder={t('Suffix such as _processed')} />
+                </Form.Item>
+              )}
+
+              {!isDirectory && producesFile && !overwriteValue && (
                 <Form.Item label={t('Save To')}>
                   <Flex gap={8} align="center">
                     <div style={{ flex: 1 }}>

web/src/pages/SetupPage.tsx

@@ -1,7 +1,8 @@
-import { useState } from 'react';
+import { useEffect, useState } from 'react';
 import { Form, Input, Button, Card, message, Steps, Select, Space, Typography } from 'antd';
 import { UserOutlined, LockOutlined, HddOutlined } from '@ant-design/icons';
 import { adaptersApi } from '../api/adapters';
+import { setConfig } from '../api/config';
 import { useAuth } from '../contexts/AuthContext';
 import { useI18n } from '../i18n';
 import LanguageSwitcher from '../components/LanguageSwitcher';
@@ -15,6 +16,14 @@ const SetupPage = () => {
   const [form] = Form.useForm();
   const { login, register } = useAuth();
   const { t } = useI18n();
+
+  useEffect(() => {
+    const origin = window.location.origin;
+    form.setFieldsValue({
+      app_domain: origin,
+      file_domain: origin,
+    });
+  }, [form]);
   const onFinish = async (values: any) => {
     setLoading(true);
     try {
@@ -22,17 +31,34 @@ const SetupPage = () => {
       await login(values.username, values.password);
         message.success(t('Initialization succeeded! Logging you in...'));
       setTimeout(async () => {
-        await adaptersApi.create({
-          name: values.adapter_name,
-          type: values.adapter_type,
-          config: {
-            root: values.root_dir
-          },
-          sub_path: null,
-          path: values.path,
-          enabled: true
-        });
-        window.location.href = '/';
+        try {
+          const tasks: Promise<unknown>[] = [];
+          const appDomain = values.app_domain?.trim();
+          const fileDomain = values.file_domain?.trim();
+          if (appDomain) {
+            tasks.push(setConfig('APP_DOMAIN', appDomain));
+          }
+          if (fileDomain) {
+            tasks.push(setConfig('FILE_DOMAIN', fileDomain));
+          }
+          if (tasks.length) {
+            await Promise.all(tasks);
+          }
+          await adaptersApi.create({
+            name: values.adapter_name,
+            type: values.adapter_type,
+            config: {
+              root: values.root_dir
+            },
+            sub_path: null,
+            path: values.path,
+            enabled: true
+          });
+          window.location.href = '/';
+        } catch (configError: any) {
+          console.error(configError);
+          message.error(configError.response?.data?.msg || t('Initialization failed, please try later'));
+        }
       }, 2000);
     } catch (error: any) {
       console.log(error)
@@ -122,6 +148,20 @@ const SetupPage = () => {
           >
             <Input size="large" placeholder={t('e.g., data/ or /var/foxel/data')} />
           </Form.Item>
+          <Form.Item
+            label={t('App Domain')}
+            name="app_domain"
+            extra={t('Optional, used for external links. Leave empty to use the current site.')}
+          >
+            <Input size="large" placeholder="https://your-app-domain.com" />
+          </Form.Item>
+          <Form.Item
+            label={t('File Domain')}
+            name="file_domain"
+            extra={t('Optional, used for external links. Leave empty to use the current site.')}
+          >
+            <Input size="large" placeholder="https://files.your-domain.com" />
+          </Form.Item>
         </>
       )
     },

web/src/pages/SystemSettingsPage/SystemSettingsPage.tsx

@@ -1,51 +1,35 @@
-import { Form, Input, Button, message, Tabs, Space, Card, Select, Modal, Radio, InputNumber, Spin, Empty, Alert } from 'antd';
-import { useEffect, useState, useCallback } from 'react';
+import { message, Tabs, Space } from 'antd';
+import { useEffect, useState } from 'react';
 import PageCard from '../../components/PageCard';
 import { getAllConfig, setConfig } from '../../api/config';
-import { vectorDBApi, type VectorDBStats, type VectorDBProviderMeta, type VectorDBCurrentConfig } from '../../api/vectorDB';
 import { AppstoreOutlined, RobotOutlined, DatabaseOutlined, SkinOutlined } from '@ant-design/icons';
 import { useTheme } from '../../contexts/ThemeContext';
 import '../../styles/settings-tabs.css';
 import { useI18n } from '../../i18n';
+import AppearanceSettingsTab from './components/AppearanceSettingsTab';
+import AppSettingsTab from './components/AppSettingsTab';
+import AiSettingsTab from './components/AiSettingsTab';
+import VectorDbSettingsTab from './components/VectorDbSettingsTab';
 
-const APP_CONFIG_KEYS: {key: string, label: string, default?: string}[] = [
+type TabKey = 'appearance' | 'app' | 'ai' | 'vector-db';
+
+const TAB_KEYS: TabKey[] = ['appearance', 'app', 'ai', 'vector-db'];
+const DEFAULT_TAB: TabKey = 'appearance';
+
+const isValidTab = (key?: string): key is TabKey => !!key && (TAB_KEYS as string[]).includes(key);
+
+interface SystemSettingsPageProps {
+  tabKey?: string;
+  onTabNavigate?: (key: TabKey, options?: { replace?: boolean }) => void;
+}
+
+const APP_CONFIG_KEYS: { key: string, label: string, default?: string }[] = [
   { key: 'APP_NAME', label: 'App Name' },
   { key: 'APP_LOGO', label: 'Logo URL' },
   { key: 'APP_DOMAIN', label: 'App Domain' },
   { key: 'FILE_DOMAIN', label: 'File Domain' },
 ];
 
-const VISION_CONFIG_KEYS = [
-  { key: 'AI_VISION_API_URL', label: 'Vision API URL' },
-  { key: 'AI_VISION_MODEL', label: 'Vision Model', default: 'Qwen/Qwen2.5-VL-32B-Instruct' },
-  { key: 'AI_VISION_API_KEY', label: 'Vision API Key' },
-];
-
-const DEFAULT_EMBED_DIMENSION = 4096;
-const EMBED_DIM_KEY = 'AI_EMBED_DIM';
-
-const EMBED_CONFIG_KEYS = [
-  { key: 'AI_EMBED_API_URL', label: 'Embedding API URL' },
-  { key: 'AI_EMBED_MODEL', label: 'Embedding Model', default: 'Qwen/Qwen3-Embedding-8B' },
-  { key: 'AI_EMBED_API_KEY', label: 'Embedding API Key' },
-];
-
-const ALL_AI_KEYS = [...VISION_CONFIG_KEYS, ...EMBED_CONFIG_KEYS, { key: EMBED_DIM_KEY, default: DEFAULT_EMBED_DIMENSION }];
-
-const formatBytes = (bytes?: number | null) => {
-  if (bytes === null || bytes === undefined) return '-';
-  if (bytes === 0) return '0 B';
-  const units = ['B', 'KB', 'MB', 'GB', 'TB'];
-  let value = bytes;
-  let unitIndex = 0;
-  while (value >= 1024 && unitIndex < units.length - 1) {
-    value /= 1024;
-    unitIndex += 1;
-  }
-  const precision = value >= 10 || unitIndex === 0 ? 0 : 1;
-  return `${value.toFixed(precision)} ${units[unitIndex]}`;
-};
-
 // Theme related config keys
 const THEME_KEYS = {
   MODE: 'THEME_MODE',
@@ -55,101 +39,30 @@ const THEME_KEYS = {
   CSS: 'THEME_CUSTOM_CSS',
 };
 
-export default function SystemSettingsPage() {
-  const [vectorConfigForm] = Form.useForm();
+export default function SystemSettingsPage({ tabKey, onTabNavigate }: SystemSettingsPageProps) {
   const [loading, setLoading] = useState(false);
   const [config, setConfigState] = useState<Record<string, string> | null>(null);
-  const [activeTab, setActiveTab] = useState('appearance');
-  const [vectorStats, setVectorStats] = useState<VectorDBStats | null>(null);
-  const [vectorStatsLoading, setVectorStatsLoading] = useState(false);
-  const [vectorStatsError, setVectorStatsError] = useState<string | null>(null);
-  const [vectorProviders, setVectorProviders] = useState<VectorDBProviderMeta[]>([]);
-  const [vectorConfig, setVectorConfig] = useState<VectorDBCurrentConfig | null>(null);
-  const [vectorConfigLoading, setVectorConfigLoading] = useState(false);
-  const [vectorConfigSaving, setVectorConfigSaving] = useState(false);
-  const [vectorMetaError, setVectorMetaError] = useState<string | null>(null);
-  const [selectedProviderType, setSelectedProviderType] = useState<string | null>(null);
-  const { refreshTheme, previewTheme } = useTheme();
+  const [activeTab, setActiveTab] = useState<TabKey>(() =>
+    isValidTab(tabKey) ? tabKey : DEFAULT_TAB
+  );
+  const { refreshTheme } = useTheme();
   const { t } = useI18n();
 
   useEffect(() => {
     getAllConfig().then((data) => setConfigState(data as Record<string, string>));
   }, []);
 
-  const fetchVectorStats = useCallback(async () => {
-    setVectorStatsLoading(true);
-    setVectorStatsError(null);
-    try {
-      const data = await vectorDBApi.getStats();
-      setVectorStats(data);
-    } catch (e: any) {
-      const msg = e?.message || t('Load failed');
-      setVectorStatsError(msg);
-      message.error(msg);
-    } finally {
-      setVectorStatsLoading(false);
-    }
-  }, [t]);
-
-  const buildProviderConfigValues = useCallback((provider: VectorDBProviderMeta | undefined, existing?: Record<string, string>) => {
-    if (!provider) return {};
-    const values: Record<string, string> = {};
-    const schema = provider.config_schema || [];
-    schema.forEach((field) => {
-      const current = existing && existing[field.key] !== undefined && existing[field.key] !== null
-        ? String(existing[field.key])
-        : undefined;
-      if (current !== undefined) {
-        values[field.key] = current;
-      } else if (field.default !== undefined && field.default !== null) {
-        values[field.key] = String(field.default);
-      } else {
-        values[field.key] = '';
-      }
-    });
-    return values;
-  }, []);
-
-  const fetchVectorMeta = useCallback(async () => {
-    setVectorConfigLoading(true);
-    setVectorMetaError(null);
-    try {
-      const [providers, current] = await Promise.all([
-        vectorDBApi.getProviders(),
-        vectorDBApi.getConfig(),
-      ]);
-      setVectorProviders(providers);
-      setVectorConfig(current);
-
-      const enabled = providers.filter((item) => item.enabled);
-      let nextType: string | null = current?.type ?? null;
-      if (nextType && !providers.some((item) => item.type === nextType)) {
-        nextType = null;
-      }
-      if (!nextType) {
-        nextType = enabled[0]?.type ?? providers[0]?.type ?? null;
-      }
-      setSelectedProviderType(nextType);
-      const provider = providers.find((item) => item.type === nextType);
-      const configValues = buildProviderConfigValues(provider, nextType === current?.type ? current?.config : undefined);
-      vectorConfigForm.setFieldsValue({ type: nextType || undefined, config: configValues });
-    } catch (e: any) {
-      const msg = e?.message || t('Load failed');
-      setVectorMetaError(msg);
-      message.error(msg);
-    } finally {
-      setVectorConfigLoading(false);
-    }
-  }, [buildProviderConfigValues, message, t, vectorConfigForm]);
-
-  const handleSave = async (values: any) => {
+  const handleSave = async (values: Record<string, unknown>) => {
     setLoading(true);
     try {
       for (const [key, value] of Object.entries(values)) {
         await setConfig(key, String(value ?? ''));
       }
       message.success(t('Saved successfully'));
-      setConfigState({ ...config, ...values });
+      const stringValues = Object.fromEntries(
+        Object.entries(values).map(([key, value]) => [key, String(value ?? '')]),
+      ) as Record<string, string>;
+      setConfigState((prev) => ({ ...(prev ?? {}), ...stringValues }));
       // trigger theme refresh if related keys changed
       if (Object.keys(values).some(k => Object.values(THEME_KEYS).includes(k))) {
         await refreshTheme();
@@ -160,67 +73,31 @@ export default function SystemSettingsPage() {
     setLoading(false);
   };
 
-  const handleProviderChange = useCallback((value: string) => {
-    setSelectedProviderType(value);
-    const provider = vectorProviders.find((item) => item.type === value);
-    const existing = value === vectorConfig?.type ? vectorConfig?.config : undefined;
-    const configValues = buildProviderConfigValues(provider, existing);
-    vectorConfigForm.setFieldsValue({ type: value, config: configValues });
-  }, [vectorProviders, vectorConfig, buildProviderConfigValues, vectorConfigForm]);
-
-  const handleVectorConfigSave = useCallback(async (values: { type: string; config?: Record<string, string> }) => {
-    if (!values?.type) {
+  // 离开“外观设置”时，恢复后端持久化配置（取消未保存的预览）
+  useEffect(() => {
+    if (!isValidTab(tabKey)) {
+      setActiveTab((prev) => (prev === DEFAULT_TAB ? prev : DEFAULT_TAB));
+      if (tabKey !== DEFAULT_TAB) {
+        onTabNavigate?.(DEFAULT_TAB, { replace: true });
+      }
       return;
     }
-    setVectorConfigSaving(true);
-    try {
-      const configPayload = Object.fromEntries(
-        Object.entries(values.config || {}).filter(([, val]) => val !== undefined && val !== null && String(val).trim() !== '')
-          .map(([key, val]) => [key, String(val)])
-      );
-      const response = await vectorDBApi.updateConfig({ type: values.type, config: configPayload });
-      setVectorConfig(response.config);
-      setVectorStats(response.stats);
-      setVectorStatsError(null);
-      setSelectedProviderType(response.config.type);
-      const provider = vectorProviders.find((item) => item.type === response.config.type);
-      const mergedValues = buildProviderConfigValues(provider, response.config.config);
-      vectorConfigForm.setFieldsValue({ type: response.config.type, config: mergedValues });
-      message.success(t('Saved successfully'));
-    } catch (e: any) {
-      message.error(e?.message || t('Save failed'));
-    } finally {
-      setVectorConfigSaving(false);
-    }
-  }, [buildProviderConfigValues, message, t, vectorConfigForm, vectorProviders]);
+    setActiveTab((prev) => (prev === tabKey ? prev : tabKey));
+  }, [tabKey, onTabNavigate]);
 
-  // 离开“外观设置”时，恢复后端持久化配置（取消未保存的预览）
   useEffect(() => {
     if (activeTab !== 'appearance') {
       refreshTheme();
     }
-  }, [activeTab]);
+  }, [activeTab, refreshTheme]);
 
-  useEffect(() => {
-    if (activeTab === 'vector-db') {
-      if (!vectorProviders.length && !vectorConfigLoading) {
-        fetchVectorMeta();
-      }
-      if (!vectorStats && !vectorStatsLoading) {
-        fetchVectorStats();
-      }
+  const handleTabChange = (key: string) => {
+    const nextKey: TabKey = isValidTab(key) ? key : DEFAULT_TAB;
+    if (nextKey !== activeTab) {
+      setActiveTab(nextKey);
     }
-  }, [
-    activeTab,
-    fetchVectorMeta,
-    fetchVectorStats,
-    vectorProviders.length,
-    vectorConfigLoading,
-    vectorStats,
-    vectorStatsLoading,
-  ]);
-
-  const selectedProvider = vectorProviders.find((item) => item.type === selectedProviderType || (!selectedProviderType && item.enabled));
+    onTabNavigate?.(nextKey);
+  };
 
   if (!config) {
     return <PageCard title={t('System Settings')}><div>{t('Loading...')}</div></PageCard>;
@@ -234,7 +111,7 @@ export default function SystemSettingsPage() {
         <Tabs
           className="fx-settings-tabs"
           activeKey={activeTab}
-          onChange={setActiveTab}
+          onChange={handleTabChange}
           centered
           tabPosition="left"
           items={[
@@ -247,75 +124,12 @@ export default function SystemSettingsPage() {
                 </span>
               ),
               children: (
-                <Form
-                  layout="vertical"
-                  initialValues={{
-                    [THEME_KEYS.MODE]: config[THEME_KEYS.MODE] ?? 'light',
-                    [THEME_KEYS.PRIMARY]: config[THEME_KEYS.PRIMARY] ?? '#111111',
-                    [THEME_KEYS.RADIUS]: Number(config[THEME_KEYS.RADIUS] ?? '10'),
-                    [THEME_KEYS.TOKENS]: config[THEME_KEYS.TOKENS] ?? '',
-                    [THEME_KEYS.CSS]: config[THEME_KEYS.CSS] ?? '',
-                  }}
-                  onValuesChange={(_, all) => {
-                    try {
-                      const tokens = all[THEME_KEYS.TOKENS] ? JSON.parse(all[THEME_KEYS.TOKENS]) : undefined;
-                      previewTheme({
-                        mode: all[THEME_KEYS.MODE],
-                        primaryColor: all[THEME_KEYS.PRIMARY],
-                        borderRadius: typeof all[THEME_KEYS.RADIUS] === 'number' ? all[THEME_KEYS.RADIUS] : undefined,
-                        customTokens: tokens,
-                        customCSS: all[THEME_KEYS.CSS],
-                      });
-                    } catch {
-                      // JSON 不合法时忽略 tokens 预览，其他项仍然生效
-                      previewTheme({
-                        mode: all[THEME_KEYS.MODE],
-                        primaryColor: all[THEME_KEYS.PRIMARY],
-                        borderRadius: typeof all[THEME_KEYS.RADIUS] === 'number' ? all[THEME_KEYS.RADIUS] : undefined,
-                        customCSS: all[THEME_KEYS.CSS],
-                      });
-                    }
-                  }}
-                  onFinish={async (vals) => {
-                    // Validate JSON if provided
-                    if (vals[THEME_KEYS.TOKENS]) {
-                      try { JSON.parse(vals[THEME_KEYS.TOKENS]); }
-                      catch { return message.error(t('Advanced tokens must be valid JSON')); }
-                    }
-                    await handleSave(vals);
-                  }}
-                  style={{ marginTop: 24 }}
-                  key={'appearance-' + JSON.stringify(config)}
-                >
-                  <Card title={t('Theme')}>
-                    <Form.Item name={THEME_KEYS.MODE} label={t('Theme Mode')}>
-                      <Radio.Group buttonStyle="solid">
-                        <Radio.Button value="light">{t('Light')}</Radio.Button>
-                        <Radio.Button value="dark">{t('Dark')}</Radio.Button>
-                        <Radio.Button value="system">{t('Follow System')}</Radio.Button>
-                      </Radio.Group>
-                    </Form.Item>
-                    <Form.Item name={THEME_KEYS.PRIMARY} label={t('Primary Color')}>
-                      <Input type="color" size="large" />
-                    </Form.Item>
-                    <Form.Item name={THEME_KEYS.RADIUS} label={t('Border Radius')}>
-                      <InputNumber min={0} max={24} style={{ width: '100%' }} />
-                    </Form.Item>
-                  </Card>
-                  <Card title={t('Advanced')} style={{ marginTop: 24 }}>
-                    <Form.Item name={THEME_KEYS.TOKENS} label={t('Override AntD Tokens (JSON)')} tooltip={t('e.g. {"colorText": "#222"}') }>
-                      <Input.TextArea autoSize={{ minRows: 4 }} placeholder='{ "colorText": "#222" }' />
-                    </Form.Item>
-                    <Form.Item name={THEME_KEYS.CSS} label={t('Custom CSS')}>
-                      <Input.TextArea autoSize={{ minRows: 6 }} placeholder={":root{ }\n/* CSS */"} />
-                    </Form.Item>
-                  </Card>
-                  <Form.Item style={{ marginTop: 24 }}>
-                    <Button type="primary" htmlType="submit" loading={loading} block>
-                      {t('Save')}
-                    </Button>
-                  </Form.Item>
-                </Form>
+                <AppearanceSettingsTab
+                  config={config}
+                  loading={loading}
+                  onSave={handleSave}
+                  themeKeys={THEME_KEYS}
+                />
               )
             },
             {
@@ -327,26 +141,12 @@ export default function SystemSettingsPage() {
                 </span>
               ),
               children: (
-                <Form
-                  layout="vertical"
-                  initialValues={{
-                    ...Object.fromEntries(APP_CONFIG_KEYS.map(({ key, default: def }) => [key, config[key] ?? def ?? ''])),
-                  }}
-                  onFinish={handleSave}
-                  style={{ marginTop: 24 }}
-                  key={JSON.stringify(config)}
-                >
-                  {APP_CONFIG_KEYS.map(({ key, label }) => (
-                    <Form.Item key={key} name={key} label={t(label)}>
-                      <Input size="large" />
-                    </Form.Item>
-                  ))}
-                  <Form.Item>
-                    <Button type="primary" htmlType="submit" loading={loading} block>
-                      {t('Save')}
-                    </Button>
-                  </Form.Item>
-                </Form>
+                <AppSettingsTab
+                  config={config}
+                  loading={loading}
+                  onSave={handleSave}
+                  configKeys={APP_CONFIG_KEYS}
+                />
               ),
             },
             {
@@ -358,56 +158,8 @@ export default function SystemSettingsPage() {
                 </span>
               ),
               children: (
-                <Form
-                  layout="vertical"
-                  initialValues={{
-                    ...Object.fromEntries(ALL_AI_KEYS.map(({ key, default: def }) => [key, key === EMBED_DIM_KEY
-                      ? Number(config[key] ?? def ?? DEFAULT_EMBED_DIMENSION)
-                      : config[key] ?? def ?? ''])),
-                  }}
-                  onFinish={async (vals) => {
-                    const currentDim = Number(config[EMBED_DIM_KEY] ?? DEFAULT_EMBED_DIMENSION);
-                    const nextDim = Number(vals[EMBED_DIM_KEY] ?? DEFAULT_EMBED_DIMENSION);
-                    if (currentDim !== nextDim) {
-                      Modal.confirm({
-                        title: t('Confirm embedding dimension change'),
-                        content: t('Changing the embedding dimension will clear the vector database automatically. You will need to rebuild indexes afterwards. Continue?'),
-                        okText: t('Confirm'),
-                        cancelText: t('Cancel'),
-                        onOk: async () => {
-                          await handleSave(vals);
-                        },
-                      });
-                      return;
-                    }
-                    await handleSave(vals);
-                  }}
-                  style={{ marginTop: 24 }}
-                  key={JSON.stringify(config)}
-                >
-                  <Card title={t('Vision Model')} style={{ marginBottom: 24 }}>
-                    {VISION_CONFIG_KEYS.map(({ key, label }) => (
-                      <Form.Item key={key} name={key} label={t(label)}>
-                        <Input size="large" />
-                      </Form.Item>
-                    ))}
-                  </Card>
-                  <Card title={t('Embedding Model')}>
-                    {EMBED_CONFIG_KEYS.map(({ key, label }) => (
-                      <Form.Item key={key} name={key} label={t(label)}>
-                        <Input size="large" />
-                      </Form.Item>
-                    ))}
-                    <Form.Item name={EMBED_DIM_KEY} label={t('Embedding Dimension')}>
-                      <InputNumber min={1} max={32768} style={{ width: '100%' }} />
-                    </Form.Item>
-                  </Card>
-                  <Form.Item style={{ marginTop: 24 }}>
-                    <Button type="primary" htmlType="submit" loading={loading} block>
-                      {t('Save')}
-                    </Button>
-                  </Form.Item>
-                </Form>
+                <AiSettingsTab
+                />
               ),
             },
             {
@@ -419,189 +171,7 @@ export default function SystemSettingsPage() {
                 </span>
               ),
               children: (
-                <Card title={t('Vector Database Settings')} style={{ marginTop: 24 }}>
-                  <Space direction="vertical" size={24} style={{ width: '100%' }}>
-                    <Space direction="vertical" size={16} style={{ width: '100%' }}>
-                      <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', flexWrap: 'wrap', gap: 12 }}>
-                        <strong>{t('Current Statistics')}</strong>
-                        <Button onClick={() => { fetchVectorMeta(); fetchVectorStats(); }} loading={vectorStatsLoading || vectorConfigLoading} disabled={(vectorStatsLoading || vectorConfigLoading) && !vectorStats}>
-                          {t('Refresh')}
-                        </Button>
-                      </div>
-                      {vectorMetaError ? (
-                        <Alert type="error" showIcon message={vectorMetaError} />
-                      ) : null}
-                      {vectorStatsLoading && !vectorStats ? (
-                        <Spin />
-                      ) : vectorStats ? (
-                        <Space direction="vertical" size={16} style={{ width: '100%' }}>
-                          <div style={{ display: 'flex', flexWrap: 'wrap', gap: 24 }}>
-                            <div>
-                              <div style={{ color: '#888' }}>{t('Collections')}</div>
-                              <div style={{ fontSize: 20, fontWeight: 600 }}>{vectorStats.collection_count}</div>
-                            </div>
-                            <div>
-                              <div style={{ color: '#888' }}>{t('Vectors')}</div>
-                              <div style={{ fontSize: 20, fontWeight: 600 }}>{vectorStats.total_vectors}</div>
-                            </div>
-                            <div>
-                              <div style={{ color: '#888' }}>{t('Database Size')}</div>
-                              <div style={{ fontSize: 20, fontWeight: 600 }}>{formatBytes(vectorStats.db_file_size_bytes)}</div>
-                            </div>
-                            <div>
-                              <div style={{ color: '#888' }}>{t('Estimated Memory')}</div>
-                              <div style={{ fontSize: 20, fontWeight: 600 }}>{formatBytes(vectorStats.estimated_total_memory_bytes)}</div>
-                            </div>
-                          </div>
-                          {vectorStats.collections.length ? (
-                            <Space direction="vertical" style={{ width: '100%' }} size={16}>
-                              {vectorStats.collections.map((collection) => (
-                                <div key={collection.name} style={{ border: '1px solid #f0f0f0', borderRadius: 8, padding: 16 }}>
-                                  <Space direction="vertical" size={12} style={{ width: '100%' }}>
-                                    <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', flexWrap: 'wrap', gap: 12 }}>
-                                      <strong>{collection.name}</strong>
-                                      <span style={{ color: '#888' }}>
-                                        {collection.is_vector_collection && collection.dimension
-                                          ? `${t('Dimension')}: ${collection.dimension}`
-                                          : t('Non-vector collection')}
-                                      </span>
-                                    </div>
-                                    <div>{t('Vectors')}: {collection.row_count}</div>
-                                    {collection.is_vector_collection ? (
-                                      <div>{t('Estimated memory')}: {formatBytes(collection.estimated_memory_bytes)}</div>
-                                    ) : null}
-                                    {collection.indexes.length ? (
-                                      <Space direction="vertical" size={4} style={{ width: '100%' }}>
-                                        <span>{t('Indexes')}:</span>
-                                        <ul style={{ paddingLeft: 20, margin: 0 }}>
-                                          {collection.indexes.map((index) => (
-                                            <li key={`${collection.name}-${index.index_name || 'default'}`}>
-                                              <span>{index.index_name || t('Unnamed index')}</span>
-                                              <span>{' · '}{index.index_type || '-'}</span>
-                                              <span>{' · '}{index.metric_type || '-'}</span>
-                                              <span>{' · '}{t('Indexed rows')}: {index.indexed_rows}</span>
-                                              <span>{' · '}{t('Pending rows')}: {index.pending_index_rows}</span>
-                                              <span>{' · '}{t('Status')}: {index.state || '-'}</span>
-                                            </li>
-                                          ))}
-                                        </ul>
-                                      </Space>
-                                    ) : null}
-                                  </Space>
-                                </div>
-                              ))}
-                            </Space>
-                          ) : (
-                            <Empty description={t('No collections')} />
-                          )}
-                          <div style={{ color: '#888' }}>
-                            {t('Estimated memory is calculated as vectors x dimension x 4 bytes (float32).')}
-                          </div>
-                        </Space>
-                      ) : vectorStatsError ? (
-                        <div style={{ color: '#ff4d4f' }}>{vectorStatsError}</div>
-                      ) : (
-                        <Empty description={t('No collections')} />
-                      )}
-                    </Space>
-                    {vectorConfigLoading && !vectorProviders.length ? (
-                      <Spin />
-                    ) : (
-                      <Form
-                        layout="vertical"
-                        form={vectorConfigForm}
-                        onFinish={handleVectorConfigSave}
-                        initialValues={{ type: selectedProviderType || undefined, config: {} }}
-                      >
-                        <Form.Item
-                          name="type"
-                          label={t('Database Provider')}
-                          rules={[{ required: true, message: t('Please select a provider') }]}
-                        >
-                          <Select
-                            size="large"
-                            options={vectorProviders.map((provider) => ({
-                              value: provider.type,
-                              label: provider.enabled ? provider.label : `${provider.label} (${t('Coming soon')})`,
-                              disabled: !provider.enabled,
-                            }))}
-                            onChange={handleProviderChange}
-                            loading={vectorConfigLoading && !vectorProviders.length}
-                          />
-                        </Form.Item>
-                        {selectedProvider?.description ? (
-                          <Alert
-                            type="info"
-                            showIcon
-                            message={t(selectedProvider.description)}
-                            style={{ marginBottom: 16 }}
-                          />
-                        ) : null}
-                        {selectedProvider?.config_schema?.map((field) => (
-                          <Form.Item
-                            key={field.key}
-                            name={['config', field.key]}
-                            label={t(field.label)}
-                            rules={field.required ? [{ required: true, message: t('Please input {label}', { label: t(field.label) }) }] : []}
-                          >
-                            {field.type === 'password' ? (
-                              <Input.Password size="large" placeholder={field.placeholder ? t(field.placeholder) : undefined} />
-                            ) : (
-                              <Input size="large" placeholder={field.placeholder ? t(field.placeholder) : undefined} />
-                            )}
-                          </Form.Item>
-                        ))}
-                        {selectedProvider && !selectedProvider.enabled ? (
-                          <Alert
-                            type="warning"
-                            showIcon
-                            message={t('This provider is not available yet')}
-                            style={{ marginBottom: 16 }}
-                          />
-                        ) : null}
-                        <Form.Item>
-                          <Space direction="vertical" style={{ width: '100%' }}>
-                            <Button
-                              type="primary"
-                              htmlType="submit"
-                              loading={vectorConfigSaving}
-                              block
-                              disabled={!selectedProvider?.enabled}
-                            >
-                              {t('Save')}
-                            </Button>
-                            <Button
-                              danger
-                              htmlType="button"
-                              block
-                              onClick={() => {
-                                Modal.confirm({
-                                  title: t('Confirm clear vector database?'),
-                                  content: t('This will delete all collections irreversibly.'),
-                                  okText: t('Confirm Clear'),
-                                  okType: 'danger',
-                                  cancelText: t('Cancel'),
-                                  onOk: async () => {
-                                    try {
-                                      await vectorDBApi.clearAll();
-                                      message.success(t('Vector database cleared'));
-                                      await fetchVectorStats();
-                                      await fetchVectorMeta();
-                                    } catch (e: any) {
-                                      message.error(e.message || t('Clear failed'));
-                                    }
-                                  },
-                                });
-                              }}
-                            >
-                              {t('Clear Vector DB')}
-                            </Button>
-                          </Space>
-                        </Form.Item>
-                      </Form>
-                    )}
-                  </Space>
-                </Card>
+                <VectorDbSettingsTab isActive={activeTab === 'vector-db'} />
               ),
             },
           ]}

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

@@ -0,0 +1,47 @@
+import { Form, Input, Button } from 'antd';
+import { useI18n } from '../../../i18n';
+
+interface AppConfigKey {
+  key: string;
+  label: string;
+  default?: string;
+}
+
+interface AppSettingsTabProps {
+  config: Record<string, string>;
+  loading: boolean;
+  onSave: (values: Record<string, unknown>) => Promise<void>;
+  configKeys: AppConfigKey[];
+}
+
+export default function AppSettingsTab({
+  config,
+  loading,
+  onSave,
+  configKeys,
+}: AppSettingsTabProps) {
+  const { t } = useI18n();
+
+  return (
+    <Form
+      layout="vertical"
+      initialValues={{
+        ...Object.fromEntries(configKeys.map(({ key, default: def }) => [key, config[key] ?? def ?? ''])),
+      }}
+      onFinish={onSave}
+      style={{ marginTop: 24 }}
+      key={JSON.stringify(config)}
+    >
+      {configKeys.map(({ key, label }) => (
+        <Form.Item key={key} name={key} label={t(label)}>
+          <Input size="large" />
+        </Form.Item>
+      ))}
+      <Form.Item>
+        <Button type="primary" htmlType="submit" loading={loading} block>
+          {t('Save')}
+        </Button>
+      </Form.Item>
+    </Form>
+  );
+}

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

@@ -0,0 +1,102 @@
+import { Form, Input, Button, InputNumber, Card, Radio, message } from 'antd';
+import { useTheme } from '../../../contexts/ThemeContext';
+import { useI18n } from '../../../i18n';
+
+interface ThemeKeyMap {
+  MODE: string;
+  PRIMARY: string;
+  RADIUS: string;
+  TOKENS: string;
+  CSS: string;
+}
+
+interface AppearanceSettingsTabProps {
+  config: Record<string, string>;
+  loading: boolean;
+  onSave: (values: Record<string, unknown>) => Promise<void>;
+  themeKeys: ThemeKeyMap;
+}
+
+export default function AppearanceSettingsTab({
+  config,
+  loading,
+  onSave,
+  themeKeys,
+}: AppearanceSettingsTabProps) {
+  const { previewTheme } = useTheme();
+  const { t } = useI18n();
+
+  return (
+    <Form
+      layout="vertical"
+      initialValues={{
+        [themeKeys.MODE]: config[themeKeys.MODE] ?? 'light',
+        [themeKeys.PRIMARY]: config[themeKeys.PRIMARY] ?? '#111111',
+        [themeKeys.RADIUS]: Number(config[themeKeys.RADIUS] ?? '10'),
+        [themeKeys.TOKENS]: config[themeKeys.TOKENS] ?? '',
+        [themeKeys.CSS]: config[themeKeys.CSS] ?? '',
+      }}
+      onValuesChange={(_, all) => {
+        try {
+          const tokens = all[themeKeys.TOKENS] ? JSON.parse(all[themeKeys.TOKENS]) : undefined;
+          previewTheme({
+            mode: all[themeKeys.MODE],
+            primaryColor: all[themeKeys.PRIMARY],
+            borderRadius: typeof all[themeKeys.RADIUS] === 'number' ? all[themeKeys.RADIUS] : undefined,
+            customTokens: tokens,
+            customCSS: all[themeKeys.CSS],
+          });
+        } catch {
+          previewTheme({
+            mode: all[themeKeys.MODE],
+            primaryColor: all[themeKeys.PRIMARY],
+            borderRadius: typeof all[themeKeys.RADIUS] === 'number' ? all[themeKeys.RADIUS] : undefined,
+            customCSS: all[themeKeys.CSS],
+          });
+        }
+      }}
+      onFinish={async (vals) => {
+        if (vals[themeKeys.TOKENS]) {
+          try {
+            JSON.parse(String(vals[themeKeys.TOKENS]));
+          } catch {
+            message.error(t('Advanced tokens must be valid JSON'));
+            return;
+          }
+        }
+        await onSave(vals);
+      }}
+      style={{ marginTop: 24 }}
+      key={'appearance-' + JSON.stringify(config)}
+    >
+      <Card title={t('Theme')}>
+        <Form.Item name={themeKeys.MODE} label={t('Theme Mode')}>
+          <Radio.Group buttonStyle="solid">
+            <Radio.Button value="light">{t('Light')}</Radio.Button>
+            <Radio.Button value="dark">{t('Dark')}</Radio.Button>
+            <Radio.Button value="system">{t('Follow System')}</Radio.Button>
+          </Radio.Group>
+        </Form.Item>
+        <Form.Item name={themeKeys.PRIMARY} label={t('Primary Color')}>
+          <Input type="color" size="large" />
+        </Form.Item>
+        <Form.Item name={themeKeys.RADIUS} label={t('Border Radius')}>
+          <InputNumber min={0} max={24} style={{ width: '100%' }} />
+        </Form.Item>
+      </Card>
+      <Card title={t('Advanced')} style={{ marginTop: 24 }}>
+        <Form.Item name={themeKeys.TOKENS} label={t('Override AntD Tokens (JSON)')} tooltip={t('e.g. {"colorText": "#222"}')}>
+          <Input.TextArea autoSize={{ minRows: 4 }} placeholder='{ "colorText": "#222" }' />
+        </Form.Item>
+        <Form.Item name={themeKeys.CSS} label={t('Custom CSS')}>
+          <Input.TextArea autoSize={{ minRows: 6 }} placeholder={":root{ }\n/* CSS */"} />
+        </Form.Item>
+      </Card>
+      <Form.Item style={{ marginTop: 24 }}>
+        <Button type="primary" htmlType="submit" loading={loading} block>
+          {t('Save')}
+        </Button>
+      </Form.Item>
+    </Form>
+  );
+}

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

@@ -0,0 +1,359 @@
+import { useCallback, useEffect, useState } from 'react';
+import { Form, Button, Card, Space, Spin, Empty, Alert, Select, Input, Modal, message } from 'antd';
+import { vectorDBApi, type VectorDBStats, type VectorDBProviderMeta, type VectorDBCurrentConfig } from '../../../api/vectorDB';
+import { useI18n } from '../../../i18n';
+
+interface VectorDbSettingsTabProps {
+  isActive: boolean;
+}
+
+const formatBytes = (bytes?: number | null) => {
+  if (bytes === null || bytes === undefined) return '-';
+  if (bytes === 0) return '0 B';
+  const units = ['B', 'KB', 'MB', 'GB', 'TB'];
+  let value = bytes;
+  let unitIndex = 0;
+  while (value >= 1024 && unitIndex < units.length - 1) {
+    value /= 1024;
+    unitIndex += 1;
+  }
+  const precision = value >= 10 || unitIndex === 0 ? 0 : 1;
+  return `${value.toFixed(precision)} ${units[unitIndex]}`;
+};
+
+const buildProviderConfigValues = (
+  provider: VectorDBProviderMeta | undefined,
+  existing?: Record<string, string>,
+) => {
+  if (!provider) return {};
+  const values: Record<string, string> = {};
+  const schema = provider.config_schema || [];
+  schema.forEach((field) => {
+    const current = existing && existing[field.key] !== undefined && existing[field.key] !== null
+      ? String(existing[field.key])
+      : undefined;
+    if (current !== undefined) {
+      values[field.key] = current;
+    } else if (field.default !== undefined && field.default !== null) {
+      values[field.key] = String(field.default);
+    } else {
+      values[field.key] = '';
+    }
+  });
+  return values;
+};
+
+export default function VectorDbSettingsTab({ isActive }: VectorDbSettingsTabProps) {
+  const [form] = Form.useForm();
+  const { t } = useI18n();
+  const [vectorStats, setVectorStats] = useState<VectorDBStats | null>(null);
+  const [vectorStatsLoading, setVectorStatsLoading] = useState(false);
+  const [vectorStatsError, setVectorStatsError] = useState<string | null>(null);
+  const [vectorProviders, setVectorProviders] = useState<VectorDBProviderMeta[]>([]);
+  const [vectorConfig, setVectorConfig] = useState<VectorDBCurrentConfig | null>(null);
+  const [vectorConfigLoading, setVectorConfigLoading] = useState(false);
+  const [vectorConfigSaving, setVectorConfigSaving] = useState(false);
+  const [vectorMetaError, setVectorMetaError] = useState<string | null>(null);
+  const [selectedProviderType, setSelectedProviderType] = useState<string | null>(null);
+
+  const fetchVectorStats = useCallback(async () => {
+    setVectorStatsLoading(true);
+    setVectorStatsError(null);
+    try {
+      const data = await vectorDBApi.getStats();
+      setVectorStats(data);
+    } catch (e: any) {
+      const msg = e?.message || t('Load failed');
+      setVectorStatsError(msg);
+      message.error(msg);
+    } finally {
+      setVectorStatsLoading(false);
+    }
+  }, [t]);
+
+  const fetchVectorMeta = useCallback(async () => {
+    setVectorConfigLoading(true);
+    setVectorMetaError(null);
+    try {
+      const [providers, current] = await Promise.all([
+        vectorDBApi.getProviders(),
+        vectorDBApi.getConfig(),
+      ]);
+      setVectorProviders(providers);
+      setVectorConfig(current);
+
+      const enabled = providers.filter((item) => item.enabled);
+      let nextType: string | null = current?.type ?? null;
+      if (nextType && !providers.some((item) => item.type === nextType)) {
+        nextType = null;
+      }
+      if (!nextType) {
+        nextType = enabled[0]?.type ?? providers[0]?.type ?? null;
+      }
+      setSelectedProviderType(nextType);
+
+      const provider = providers.find((item) => item.type === nextType);
+      const configValues = buildProviderConfigValues(
+        provider,
+        nextType === current?.type ? current?.config : undefined,
+      );
+      form.setFieldsValue({ type: nextType || undefined, config: configValues });
+    } catch (e: any) {
+      const msg = e?.message || t('Load failed');
+      setVectorMetaError(msg);
+      message.error(msg);
+    } finally {
+      setVectorConfigLoading(false);
+    }
+  }, [form, t]);
+
+  const handleProviderChange = useCallback((value: string) => {
+    setSelectedProviderType(value);
+    const provider = vectorProviders.find((item) => item.type === value);
+    const existing = value === vectorConfig?.type ? vectorConfig?.config : undefined;
+    const configValues = buildProviderConfigValues(provider, existing);
+    form.setFieldsValue({ type: value, config: configValues });
+  }, [form, vectorConfig, vectorProviders]);
+
+  const handleVectorConfigSave = useCallback(async (values: { type: string; config?: Record<string, string> }) => {
+    if (!values?.type) {
+      return;
+    }
+    setVectorConfigSaving(true);
+    try {
+      const configPayload = Object.fromEntries(
+        Object.entries(values.config || {})
+          .filter(([, val]) => val !== undefined && val !== null && String(val).trim() !== '')
+          .map(([key, val]) => [key, String(val)]),
+      );
+      const response = await vectorDBApi.updateConfig({ type: values.type, config: configPayload });
+      setVectorConfig(response.config);
+      setVectorStats(response.stats);
+      setVectorStatsError(null);
+      setSelectedProviderType(response.config.type);
+      const provider = vectorProviders.find((item) => item.type === response.config.type);
+      const mergedValues = buildProviderConfigValues(provider, response.config.config);
+      form.setFieldsValue({ type: response.config.type, config: mergedValues });
+      message.success(t('Saved successfully'));
+    } catch (e: any) {
+      message.error(e?.message || t('Save failed'));
+    } finally {
+      setVectorConfigSaving(false);
+    }
+  }, [form, t, vectorProviders]);
+
+  const handleClearVectorDb = useCallback(() => {
+    Modal.confirm({
+      title: t('Confirm clear vector database?'),
+      content: t('This will delete all collections irreversibly.'),
+      okText: t('Confirm Clear'),
+      okType: 'danger',
+      cancelText: t('Cancel'),
+      onOk: async () => {
+        try {
+          await vectorDBApi.clearAll();
+          message.success(t('Vector database cleared'));
+          await fetchVectorStats();
+          await fetchVectorMeta();
+        } catch (e: any) {
+          message.error(e?.message || t('Clear failed'));
+        }
+      },
+    });
+  }, [fetchVectorMeta, fetchVectorStats, t]);
+
+  useEffect(() => {
+    if (!isActive) {
+      return;
+    }
+    if (!vectorProviders.length && !vectorConfigLoading) {
+      fetchVectorMeta();
+    }
+    if (!vectorStats && !vectorStatsLoading) {
+      fetchVectorStats();
+    }
+  }, [
+    isActive,
+    fetchVectorMeta,
+    fetchVectorStats,
+    vectorProviders.length,
+    vectorConfigLoading,
+    vectorStats,
+    vectorStatsLoading,
+  ]);
+
+  const vectorSectionLoading = vectorStatsLoading || vectorConfigLoading;
+  const selectedProvider = vectorProviders.find(
+    (item) => item.type === selectedProviderType || (!selectedProviderType && item.enabled),
+  );
+
+  return (
+    <Card title={t('Vector Database Settings')} style={{ marginTop: 24 }}>
+      <Space direction="vertical" size={24} style={{ width: '100%' }}>
+        <Space direction="vertical" size={16} style={{ width: '100%' }}>
+          <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', flexWrap: 'wrap', gap: 12 }}>
+            <strong>{t('Current Statistics')}</strong>
+            <Button onClick={() => { fetchVectorMeta(); fetchVectorStats(); }} loading={vectorStatsLoading || vectorConfigLoading} disabled={(vectorStatsLoading || vectorConfigLoading) && !vectorStats}>
+              {t('Refresh')}
+            </Button>
+          </div>
+          {vectorSectionLoading ? (
+            <div style={{ display: 'flex', justifyContent: 'center', padding: '24px 0' }}>
+              <Spin />
+            </div>
+          ) : (
+            <>
+              {vectorMetaError ? (
+                <Alert type="error" showIcon message={vectorMetaError} />
+              ) : null}
+              {vectorStats ? (
+                <Space direction="vertical" size={16} style={{ width: '100%' }}>
+                  <div style={{ display: 'flex', flexWrap: 'wrap', gap: 24 }}>
+                    <div>
+                      <div style={{ color: '#888' }}>{t('Collections')}</div>
+                      <div style={{ fontSize: 20, fontWeight: 600 }}>{vectorStats.collection_count}</div>
+                    </div>
+                    <div>
+                      <div style={{ color: '#888' }}>{t('Vectors')}</div>
+                      <div style={{ fontSize: 20, fontWeight: 600 }}>{vectorStats.total_vectors}</div>
+                    </div>
+                    <div>
+                      <div style={{ color: '#888' }}>{t('Database Size')}</div>
+                      <div style={{ fontSize: 20, fontWeight: 600 }}>{formatBytes(vectorStats.db_file_size_bytes)}</div>
+                    </div>
+                    <div>
+                      <div style={{ color: '#888' }}>{t('Estimated Memory')}</div>
+                      <div style={{ fontSize: 20, fontWeight: 600 }}>{formatBytes(vectorStats.estimated_total_memory_bytes)}</div>
+                    </div>
+                  </div>
+                  {vectorStats.collections.length ? (
+                    <Space direction="vertical" style={{ width: '100%' }} size={16}>
+                      {vectorStats.collections.map((collection) => (
+                        <div key={collection.name} style={{ border: '1px solid #f0f0f0', borderRadius: 8, padding: 16 }}>
+                          <Space direction="vertical" size={12} style={{ width: '100%' }}>
+                            <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', flexWrap: 'wrap', gap: 12 }}>
+                              <strong>{collection.name}</strong>
+                              <span style={{ color: '#888' }}>
+                                {collection.is_vector_collection && collection.dimension
+                                  ? `${t('Dimension')}: ${collection.dimension}`
+                                  : t('Non-vector collection')}
+                              </span>
+                            </div>
+                            <div>{t('Vectors')}: {collection.row_count}</div>
+                            {collection.is_vector_collection ? (
+                              <div>{t('Estimated memory')}: {formatBytes(collection.estimated_memory_bytes)}</div>
+                            ) : null}
+                            {collection.indexes.length ? (
+                              <Space direction="vertical" size={4} style={{ width: '100%' }}>
+                                <span>{t('Indexes')}:</span>
+                                <ul style={{ paddingLeft: 20, margin: 0 }}>
+                                  {collection.indexes.map((index) => (
+                                    <li key={`${collection.name}-${index.index_name || 'default'}`}>
+                                      <span>{index.index_name || t('Unnamed index')}</span>
+                                      <span>{' · '}{index.index_type || '-'}</span>
+                                      <span>{' · '}{index.metric_type || '-'}</span>
+                                      <span>{' · '}{t('Indexed rows')}: {index.indexed_rows}</span>
+                                      <span>{' · '}{t('Pending rows')}: {index.pending_index_rows}</span>
+                                      <span>{' · '}{t('Status')}: {index.state || '-'}</span>
+                                    </li>
+                                  ))}
+                                </ul>
+                              </Space>
+                            ) : null}
+                          </Space>
+                        </div>
+                      ))}
+                    </Space>
+                  ) : (
+                    <Empty description={t('No collections')} />
+                  )}
+                  <div style={{ color: '#888' }}>
+                    {t('Estimated memory is calculated as vectors x dimension x 4 bytes (float32).')}
+                  </div>
+                </Space>
+              ) : vectorStatsError ? (
+                <div style={{ color: '#ff4d4f' }}>{vectorStatsError}</div>
+              ) : (
+                <Empty description={t('No collections')} />
+              )}
+              <Form
+                layout="vertical"
+                form={form}
+                onFinish={handleVectorConfigSave}
+                initialValues={{ type: selectedProviderType || undefined, config: {} }}
+              >
+                <Form.Item
+                  name="type"
+                  label={t('Database Provider')}
+                  rules={[{ required: true, message: t('Please select a provider') }]}
+                >
+                  <Select
+                    size="large"
+                    options={vectorProviders.map((provider) => ({
+                      value: provider.type,
+                      label: provider.enabled ? provider.label : `${provider.label} (${t('Coming soon')})`,
+                      disabled: !provider.enabled,
+                    }))}
+                    onChange={handleProviderChange}
+                    loading={vectorConfigLoading && !vectorProviders.length}
+                  />
+                </Form.Item>
+                {selectedProvider?.description ? (
+                  <Alert
+                    type="info"
+                    showIcon
+                    message={t(selectedProvider.description)}
+                    style={{ marginBottom: 16 }}
+                  />
+                ) : null}
+                {selectedProvider?.config_schema?.map((field) => (
+                  <Form.Item
+                    key={field.key}
+                    name={['config', field.key]}
+                    label={t(field.label)}
+                    rules={field.required ? [{ required: true, message: t('Please input {label}', { label: t(field.label) }) }] : []}
+                  >
+                    {field.type === 'password' ? (
+                      <Input.Password size="large" placeholder={field.placeholder ? t(field.placeholder) : undefined} />
+                    ) : (
+                      <Input size="large" placeholder={field.placeholder ? t(field.placeholder) : undefined} />
+                    )}
+                  </Form.Item>
+                ))}
+                {selectedProvider && !selectedProvider.enabled ? (
+                  <Alert
+                    type="warning"
+                    showIcon
+                    message={t('This provider is not available yet')}
+                    style={{ marginBottom: 16 }}
+                  />
+                ) : null}
+                <Form.Item>
+                  <Space direction="vertical" style={{ width: '100%' }}>
+                    <Button
+                      type="primary"
+                      htmlType="submit"
+                      loading={vectorConfigSaving}
+                      block
+                      disabled={!selectedProvider?.enabled}
+                    >
+                      {t('Save')}
+                    </Button>
+                    <Button
+                      danger
+                      htmlType="button"
+                      block
+                      onClick={handleClearVectorDb}
+                    >
+                      {t('Clear Vector DB')}
+                    </Button>
+                  </Space>
+                </Form.Item>
+              </Form>
+            </>
+          )}
+        </Space>
+      </Space>
+    </Card>
+  );
+}

web/src/router/LayoutShell.tsx

@@ -18,17 +18,26 @@ import { AppWindowsProvider, useAppWindows } from '../contexts/AppWindowsContext
 import { AppWindowsLayer } from '../apps/AppWindowsLayer';
 
 const ShellBody = memo(function ShellBody() {
-  const { navKey = 'files' } = useParams();
+  const params = useParams<{ navKey?: string; '*': string }>();
+  const navKey = params.navKey ?? 'files';
+  const subPath = params['*'] ?? '';
   const navigate = useNavigate();
   const [collapsed, setCollapsed] = useState(false);
   const { windows, closeWindow, toggleMax, bringToFront, updateWindow } = useAppWindows();
+  const settingsTab = navKey === 'settings' ? (subPath.split('/')[0] || undefined) : undefined;
   return (
     <Layout style={{ minHeight: '100vh', background: 'var(--ant-color-bg-layout)' }}>
       <SideNav
         collapsed={collapsed}
         onToggle={() => setCollapsed(c => !c)}
         activeKey={navKey}
-        onChange={(key) => navigate(`/${key}`)}
+        onChange={(key) => {
+          if (key === 'settings') {
+            navigate('/settings/appearance', { replace: true });
+          } else {
+            navigate(`/${key}`);
+          }
+        }}
       />
       <Layout style={{ background: 'var(--ant-color-bg-layout)' }}>
         <TopHeader collapsed={collapsed} onToggle={() => setCollapsed(c => !c)} />
@@ -43,7 +52,12 @@ const ShellBody = memo(function ShellBody() {
               {navKey === 'processors' && <ProcessorsPage />}
               {navKey === 'offline' && <OfflineDownloadPage />}
               {navKey === 'plugins' && <PluginsPage />}
-              {navKey === 'settings' && <SystemSettingsPage />}
+              {navKey === 'settings' && (
+                <SystemSettingsPage
+                  tabKey={settingsTab}
+                  onTabNavigate={(key, options) => navigate(`/settings/${key}`, options)}
+                />
+              )}
               {navKey === 'logs' && <LogsPage />}
               {navKey === 'backup' && <BackupPage />}
             </Flex>

web/src/styles/ai-settings.css

@@ -0,0 +1,361 @@
+.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);
+}
+
+.fx-ai-provider-card {
+  border-radius: 16px;
+  overflow: hidden;
+  box-shadow: var(--ant-box-shadow-secondary);
+}
+
+.fx-ai-provider-header {
+  display: flex;
+  justify-content: flex-start;
+  align-items: center;
+  gap: 16px;
+  height: 80px;
+  width: 100%;
+}
+
+.fx-ai-provider-meta {
+  display: flex;
+  align-items: center;
+  gap: 16px;
+}
+
+.fx-ai-provider-logo {
+  width: 36px;
+  height: 36px;
+  border-radius: 12px;
+  object-fit: cover;
+  background: var(--ant-color-fill-alter);
+  padding: 4px;
+}
+
+.fx-ai-provider-name {
+  font-size: 16px;
+  font-weight: 600;
+}
+
+.fx-ai-provider-sub {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  margin-top: 4px;
+  color: var(--ant-color-text-tertiary);
+}
+
+.fx-ai-model-list {
+  display: flex;
+  flex-direction: column;
+  gap: 8px;
+}
+
+.fx-ai-model-item {
+  display: flex;
+  justify-content: space-between;
+  align-items: flex-start;
+  gap: 12px;
+  padding: 12px 14px;
+  border-radius: 10px;
+  background: var(--ant-color-fill-secondary);
+  border: 1px solid var(--ant-color-border);
+}
+
+.fx-ai-model-info {
+  display: flex;
+  flex-direction: column;
+  gap: 6px;
+  flex: 1;
+}
+
+.fx-ai-model-header {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+}
+
+.fx-ai-model-title {
+  margin: 0;
+  font-size: 15px;
+}
+
+.fx-ai-model-tags .ant-tag {
+  border-radius: 999px;
+  padding: 0 8px;
+  line-height: 20px;
+}
+
+.fx-ai-model-meta {
+  display: flex;
+  flex-direction: column;
+  gap: 6px;
+}
+
+.fx-ai-model-desc {
+  line-height: 1.4;
+}
+
+.fx-ai-model-metrics {
+  color: var(--ant-color-text-quaternary);
+}
+
+.fx-ai-model-actions {
+  align-self: center;
+}
+
+.fx-ai-model-actions .ant-btn {
+  min-width: 32px;
+}
+
+.fx-ai-empty-card {
+  border-radius: 16px;
+  background: var(--ant-color-fill-tertiary);
+}
+
+.fx-ai-provider-actions {
+  display: flex;
+  align-items: center;
+  justify-content: flex-end;
+  gap: 8px;
+  flex-wrap: wrap;
+}
+
+.fx-ai-defaults-card {
+  border-radius: 16px;
+  box-shadow: var(--ant-box-shadow-secondary);
+}
+
+.fx-ai-default-row {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 16px;
+  padding: 12px 0;
+  border-bottom: 1px solid var(--ant-color-border-secondary);
+}
+
+.fx-ai-default-row:last-child {
+  border-bottom: none;
+}
+
+.fx-ai-default-meta {
+  display: flex;
+  gap: 16px;
+  align-items: center;
+}
+
+.fx-ai-default-icon {
+  width: 46px;
+  height: 46px;
+  border-radius: 16px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  font-size: 22px;
+  color: var(--ant-color-text-light-solid);
+}
+
+.fx-ai-default-desc {
+  color: var(--ant-color-text-tertiary);
+}
+
+.fx-ai-provider-option {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+}
+
+.fx-ai-provider-option img {
+  width: 20px;
+  height: 20px;
+  border-radius: 6px;
+  object-fit: cover;
+}
+
+.fx-ai-model-option {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+}
+
+.fx-ai-model-name {
+  flex: 1;
+  min-width: 0;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+}
+
+.fx-ai-model-provider-tag {
+  padding: 0 8px;
+  border-radius: 999px;
+  background: var(--ant-color-fill-tertiary);
+  color: var(--ant-color-text-tertiary);
+  font-size: 12px;
+  line-height: 20px;
+  white-space: nowrap;
+}
+
+.fx-ai-add-provider-steps {
+  padding: 0 8px;
+}
+
+.fx-ai-template-grid {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(240px, 1fr));
+  gap: 16px;
+}
+
+.fx-ai-template-card {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  padding: 16px;
+  border-radius: 16px;
+  background: var(--ant-color-fill-quaternary);
+  border: 1px solid transparent;
+  cursor: pointer;
+  transition: border-color 0.2s ease, box-shadow 0.2s ease, transform 0.2s ease;
+}
+
+.fx-ai-template-card:hover {
+  border-color: var(--ant-color-primary);
+  box-shadow: var(--ant-box-shadow-secondary);
+  transform: translateY(-2px);
+}
+
+.fx-ai-template-card:focus-visible {
+  outline: 2px solid var(--ant-color-primary);
+  outline-offset: 2px;
+}
+
+.fx-ai-template-card-main {
+  display: flex;
+  align-items: center;
+  gap: 16px;
+}
+
+.fx-ai-template-icon {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+
+.fx-ai-template-icon.summary {
+  width: 56px;
+  height: 56px;
+  border-radius: 18px;
+  font-size: 26px;
+}
+
+.fx-ai-template-icon img {
+  width: 100%;
+  height: 100%;
+  border-radius: inherit;
+  object-fit: cover;
+}
+
+.fx-ai-template-text {
+  display: flex;
+  flex-direction: column;
+  gap: 6px;
+}
+
+.fx-ai-template-name {
+  font-size: 15px;
+  font-weight: 600;
+  color: var(--ant-color-text);
+}
+
+.fx-ai-template-desc {
+  font-size: 12px;
+  color: var(--ant-color-text-tertiary);
+}
+
+.fx-ai-template-summary {
+  display: flex;
+  align-items: center;
+  gap: 16px;
+  padding: 16px;
+  border-radius: 16px;
+  background: var(--ant-color-fill-quaternary);
+}
+
+.fx-ai-template-summary-text {
+  display: flex;
+  flex-direction: column;
+  gap: 6px;
+}
+
+.fx-ai-template-summary-text .fx-ai-template-name {
+  font-size: 18px;
+}
+
+.fx-ai-template-summary-text .fx-ai-template-desc {
+  font-size: 13px;
+}
+
+.fx-ai-template-arrow {
+  color: var(--ant-color-text-quaternary);
+  font-size: 16px;
+}
+
+.fx-ai-remote-models {
+  display: flex;
+  flex-direction: column;
+  gap: 12px;
+  max-height: 320px;
+  padding: 12px;
+  border-radius: 12px;
+  background: var(--ant-color-fill-quaternary);
+  overflow-y: auto;
+}
+
+.fx-ai-remote-item {
+  padding: 8px 0;
+}
+
+.fx-ai-remote-item .ant-checkbox-wrapper {
+  width: 100%;
+}
+
+.fx-ai-remote-item-main {
+  display: flex;
+  flex-direction: column;
+  gap: 6px;
+}
+
+.fx-ai-remote-desc {
+  color: var(--ant-color-text-tertiary);
+}
+
+.fx-ai-chat {
+  background: linear-gradient(135deg, #805ad5, #6b46c1);
+}
+
+.fx-ai-vision {
+  background: linear-gradient(135deg, #4c6ef5, #4263eb);
+}
+
+.fx-ai-embedding {
+  background: linear-gradient(135deg, #f7b733, #fc4a1a);
+}
+
+.fx-ai-rerank {
+  background: linear-gradient(135deg, #0ea5e9, #0284c7);
+}
+
+.fx-ai-voice {
+  background: linear-gradient(135deg, #f97316, #ea580c);
+}
+
+.fx-ai-tools {
+  background: linear-gradient(135deg, #ec4899, #db2777);
+}