完整的部署文件

.dockerignore

@@ -6,7 +6,14 @@ frontend/node_modules
 frontend/dist
 backend/venv
 
-data
+data/*
+!data/templates/
+!data/templates/**
+!data/skills/
+!data/skills/**
+!data/model/
+data/model/*
+!data/model/README.md
 workspace
 
 **/__pycache__

.env.full.example

@@ -1,9 +1,8 @@
 # Public exposed port (only nginx is exposed)
 NGINX_PORT=8080
 
-# Required absolute host paths.
+# Project data is always mounted from the repository root `./data`.
-# They must exist or be creatable by the deployment user and writable by docker daemon.
+# Only workspace root still needs an absolute host path.
-HOST_DATA_ROOT=/opt/dashboard-nanobot/data
 HOST_BOTS_WORKSPACE_ROOT=/opt/dashboard-nanobot/workspace/bots
 
 # Optional custom image tags
@@ -72,7 +71,7 @@ WORKSPACE_DOWNLOAD_EXTENSIONS=.pdf,.doc,.docx,.xls,.xlsx,.xlsm,.ppt,.pptx,.odt,.
 # Local speech-to-text (Whisper via whisper.cpp model file)
 STT_ENABLED=true
 STT_MODEL=ggml-small-q8_0.bin
-STT_MODEL_DIR=${HOST_DATA_ROOT}/model
+STT_MODEL_DIR=/app/data/model
 STT_DEVICE=cpu
 STT_MAX_AUDIO_SECONDS=20
 STT_DEFAULT_LANGUAGE=zh

.env.prod.example

@@ -1,9 +1,8 @@
 # Public exposed port (only nginx is exposed)
 NGINX_PORT=8080
 
-# REQUIRED absolute host paths.
+# Project data is always mounted from the repository root `./data`.
-# They must exist and be writable by docker daemon.
+# Only workspace root still needs an absolute host path.
-HOST_DATA_ROOT=/opt/dashboard-nanobot/data
 HOST_BOTS_WORKSPACE_ROOT=/opt/dashboard-nanobot/workspace/bots
 
 # Optional custom image tags
@@ -25,7 +24,7 @@ NPM_REGISTRY=https://registry.npmmirror.com
 
 # Database (choose one: SQLite / PostgreSQL / MySQL)
 # SQLite example:
-# DATABASE_URL=sqlite:///${HOST_DATA_ROOT}/nanobot_dashboard.db
+# DATABASE_URL=sqlite:////app/data/nanobot_dashboard.db
 # PostgreSQL example:
 # DATABASE_URL=postgresql+psycopg://user:password@127.0.0.1:5432/nanobot_dashboard
 # MySQL example:
@@ -65,7 +64,7 @@ WORKSPACE_DOWNLOAD_EXTENSIONS=.pdf,.doc,.docx,.xls,.xlsx,.xlsm,.ppt,.pptx,.odt,.
 # Local speech-to-text (Whisper via whisper.cpp model file)
 STT_ENABLED=true
 STT_MODEL=ggml-small-q8_0.bin
-STT_MODEL_DIR=${HOST_DATA_ROOT}/model
+STT_MODEL_DIR=/app/data/model
 STT_DEVICE=cpu
 STT_MAX_AUDIO_SECONDS=20
 STT_DEFAULT_LANGUAGE=zh

.gitignore

@@ -30,7 +30,14 @@ backend/__pycache__/
 backend/*.log
 
 # Project runtime data (generated locally)
-data/
+data/*
+!data/templates/
+!data/templates/**
+!data/skills/
+!data/skills/**
+!data/model/
+data/model/*
+!data/model/README.md
 workspace/
 engines/
 

README.md

@@ -13,7 +13,7 @@ Dashboard Nanobot 是面向 `nanobot` 的控制平面项目，提供镜像管理
   - `USER.md`
   - `TOOLS.md`
   - `IDENTITY.md`
-- 模板管理：系统级模板改为文件化配置（`backend/templates/agent_md_templates.json` 与 `backend/templates/topic_presets.json`）。
+- 模板管理：系统级模板改为文件化配置（`data/templates/agent_md_templates.json` 与 `data/templates/topic_presets.json`）。
 - 2D 运维 Dashboard：Bot 列表、启停、命令发送、日志流、遥测。
 - UI 全局支持：Light/Dark 切换、中文/English 切换。
 
@@ -57,6 +57,13 @@ graph TD
 - 架构设计：`design/architecture.md`
 - 数据库设计：`design/database.md`
 
+## 默认资源
+
+- 项目根目录 `data/templates/` 保存默认模板资源，会在初始化时同步到运行时数据目录。
+- 项目根目录 `data/skills/` 保存默认 skill 包，会在数据库初始化阶段自动注册到 `skill_market_item`。
+- `data/model/` 不包含语音识别模型文件；模型需要用户自行下载放入该目录或 `STT_MODEL_DIR` 指向的目录。
+- 如果语音模型缺失，后端启动时会打印明确告警，但不会阻断服务启动。
+
 ## 环境变量配置
 
 - 后端：
@@ -102,10 +109,10 @@ graph TD
 
 1. 准备部署变量
    - 复制 `.env.prod.example` 为 `.env.prod`（位于项目根目录）
-   - 配置绝对路径：
+   - `data/` 会自动映射到宿主机项目根目录下的 `./data`
-     - `HOST_DATA_ROOT`
+   - 只需要配置绝对路径：
      - `HOST_BOTS_WORKSPACE_ROOT`
-   - 如启用本地语音识别，请将 Whisper `.bin` 模型文件放到 `${HOST_DATA_ROOT}/model/`
+   - 如启用本地语音识别，请将 Whisper `.bin` 模型文件放到宿主机项目根目录的 `data/model/`
      并让 `STT_MODEL` 指向完整文件名，例如 `ggml-small-q8_0.bin`
    - 中国网络建议配置加速项：
      - `PIP_INDEX_URL`、`PIP_TRUSTED_HOST`
@@ -122,6 +129,7 @@ graph TD
 - `backend` 不开放宿主机端口，仅在内部网络被 Nginx 访问。
 - 上传大小使用单一参数 `UPLOAD_MAX_MB` 控制（后端校验 + Nginx 限制）。
 - 必须挂载 `/var/run/docker.sock`，否则后端无法操作 Bot 镜像与容器。
+- `data/` 始终绑定到宿主机项目根目录下的 `./data`，其中模板、默认 skills、语音模型和运行数据都落在这里。
 - `HOST_BOTS_WORKSPACE_ROOT` 必须是宿主机绝对路径，并且在 `docker-compose.prod.yml` 中以“同路径”挂载到后端容器。
   原因：后端通过 Docker API 创建 Bot 容器时，使用的是宿主机可见的 bind 路径。
 - 语音识别当前基于 `pywhispercpp==1.3.1` + Whisper `.bin` 模型文件，不使用 `faster-whisper`。
@@ -144,13 +152,13 @@ graph TD
 
 1. 准备部署变量
    - 复制 `.env.full.example` 为 `.env.full`
+   - `data/` 会自动映射到宿主机项目根目录下的 `./data`
    - 必填修改：
-     - `HOST_DATA_ROOT`
      - `HOST_BOTS_WORKSPACE_ROOT`
      - `POSTGRES_SUPERPASSWORD`
      - `POSTGRES_APP_PASSWORD`
      - `PANEL_ACCESS_PASSWORD`
-   - 如启用本地语音识别，请将 Whisper `.bin` 模型文件放到 `${HOST_DATA_ROOT}/model/`
+   - 如启用本地语音识别，请将 Whisper `.bin` 模型文件放到宿主机项目根目录的 `data/model/`
 2. 启动完整栈
    - `./scripts/deploy-full.sh`
 3. 访问
@@ -173,5 +181,5 @@ graph TD
 ### 注意事项
 
 - `deploy-prod.sh` 和 `deploy-full.sh` 使用的是两套 compose 文件，但复用了相同容器名，不能同时在同一台机器上并行启动。
-- PostgreSQL 数据默认落盘到 `${HOST_DATA_ROOT}/postgres`，Redis 数据默认落盘到 `${HOST_DATA_ROOT}/redis`。
+- PostgreSQL 数据默认落盘到宿主机项目根目录 `./data/postgres`，Redis 数据默认落盘到 `./data/redis`。
 - 如果你只想保留前后端容器，继续使用 `deploy-prod.sh`；如果希望把依赖也打包进来，使用 `deploy-full.sh`。

backend/Dockerfile

@@ -20,6 +20,7 @@ RUN if [ -n "${PIP_INDEX_URL}" ]; then pip config set global.index-url "${PIP_IN
     && pip install -r requirements.txt
 
 COPY backend/ /app/backend/
+COPY data/ /app/data/
 
 EXPOSE 8000
 

backend/api/system_router.py

@@ -1,5 +1,6 @@
 from fastapi import APIRouter, HTTPException
 
+from core.speech_service import inspect_speech_model_status
 from core.utils import _get_default_system_timezone
 from schemas.system import SystemTemplatesUpdateRequest
 from services.platform_service import get_platform_settings_snapshot, get_speech_runtime_settings
@@ -17,6 +18,7 @@ def get_system_defaults():
     md_templates = get_agent_md_templates()
     platform_settings = get_platform_settings_snapshot()
     speech_settings = get_speech_runtime_settings()
+    model_status = inspect_speech_model_status()
     return {
         "templates": md_templates,
         "limits": {
@@ -41,6 +43,9 @@ def get_system_defaults():
             "device": speech_settings["device"],
             "max_audio_seconds": speech_settings["max_audio_seconds"],
             "default_language": speech_settings["default_language"],
+            "ready": model_status["ready"],
+            "message": model_status["message"],
+            "expected_path": model_status["expected_path"],
         },
     }
 

backend/bootstrap/app_runtime.py

@@ -6,10 +6,12 @@ from sqlmodel import Session, select
 from core.cache import cache
 from core.database import engine, init_database
 from core.docker_instance import docker_manager
+from core.speech_service import inspect_speech_model_status
 from core.settings import DATABASE_URL_DISPLAY, REDIS_ENABLED
 from models.bot import BotInstance
 from services.bot_storage_service import _migrate_bot_resources_store
-from services.platform_service import prune_expired_activity_events
+from services.default_assets_service import ensure_default_skill_market_items, ensure_runtime_data_assets
+from services.platform_service import get_speech_runtime_settings, prune_expired_activity_events
 from services.runtime_service import docker_callback, set_main_loop
 
 
@@ -29,11 +31,31 @@ def register_app_runtime(app: FastAPI) -> None:
         current_loop = asyncio.get_running_loop()
         app.state.main_loop = current_loop
         set_main_loop(current_loop)
+        asset_report = ensure_runtime_data_assets()
+        if asset_report["templates_initialized"] or asset_report["skills_synchronized"]:
+            print(
+                "[init] 默认资源已同步 "
+                f"(templates={asset_report['templates_initialized']}, skills={asset_report['skills_synchronized']})"
+            )
         init_database()
         with Session(engine) as session:
+            skill_report = ensure_default_skill_market_items(session)
+            if skill_report["created"] or skill_report["updated"]:
+                print(
+                    "[init] 默认 skills 已入库 "
+                    f"(created={len(skill_report['created'])}, updated={len(skill_report['updated'])})"
+                )
             prune_expired_activity_events(session, force=True)
             bots = session.exec(select(BotInstance)).all()
             for bot in bots:
                 _migrate_bot_resources_store(bot.id)
                 docker_manager.ensure_monitor(bot.id, docker_callback)
+        speech_settings = get_speech_runtime_settings()
+        model_status = inspect_speech_model_status()
+        if speech_settings["enabled"]:
+            if model_status["ready"]:
+                print(f"🎙️ 语音识别模型就绪: {model_status['resolved_path']}")
+            else:
+                hint = f"，请将模型文件放到 {model_status['expected_path']}" if model_status["expected_path"] else ""
+                print(f"⚠️ 语音识别模型未就绪: {model_status['message']}{hint}")
         print("✅ 启动自检完成")

backend/core/settings.py

@@ -117,6 +117,13 @@ DATA_ROOT: Final[str] = _normalize_dir_path(os.getenv("DATA_ROOT", str(PROJECT_R
 BOTS_WORKSPACE_ROOT: Final[str] = _normalize_dir_path(
     os.getenv("BOTS_WORKSPACE_ROOT", str(PROJECT_ROOT / "workspace" / "bots"))
 )
+BUNDLED_DATA_ROOT: Final[Path] = (PROJECT_ROOT / "data").resolve()
+RUNTIME_DATA_ROOT: Final[Path] = Path(DATA_ROOT).resolve()
+BUNDLED_TEMPLATES_ROOT: Final[Path] = (BUNDLED_DATA_ROOT / "templates").resolve()
+RUNTIME_TEMPLATES_ROOT: Final[Path] = (RUNTIME_DATA_ROOT / "templates").resolve()
+BUNDLED_SKILLS_ROOT: Final[Path] = (BUNDLED_DATA_ROOT / "skills").resolve()
+RUNTIME_SKILLS_ROOT: Final[Path] = (RUNTIME_DATA_ROOT / "skills").resolve()
+RUNTIME_MODEL_ROOT: Final[Path] = (RUNTIME_DATA_ROOT / "model").resolve()
 
 
 def _normalize_database_url(url: str) -> str:
@@ -205,7 +212,7 @@ DEFAULT_WORKSPACE_DOWNLOAD_EXTENSIONS: Final[tuple[str, ...]] = (
 )
 STT_ENABLED_DEFAULT: Final[bool] = True
 STT_MODEL: Final[str] = str(os.getenv("STT_MODEL") or "ggml-small-q8_0.bin").strip()
-_DEFAULT_STT_MODEL_DIR: Final[Path] = (Path(DATA_ROOT) / "model").resolve()
+_DEFAULT_STT_MODEL_DIR: Final[Path] = RUNTIME_MODEL_ROOT
 _configured_stt_model_dir = _normalize_dir_path(os.getenv("STT_MODEL_DIR", str(_DEFAULT_STT_MODEL_DIR)))
 if _configured_stt_model_dir and not Path(_configured_stt_model_dir).exists() and _DEFAULT_STT_MODEL_DIR.exists():
     STT_MODEL_DIR: Final[str] = str(_DEFAULT_STT_MODEL_DIR)
@@ -240,6 +247,7 @@ APP_HOST: Final[str] = str(os.getenv("APP_HOST") or "0.0.0.0").strip()
 APP_PORT: Final[int] = _env_int("APP_PORT", 8000, 1, 65535)
 APP_RELOAD: Final[bool] = _env_bool("APP_RELOAD", False)
 
-TEMPLATE_ROOT: Final[Path] = (BACKEND_ROOT / "templates").resolve()
+AGENT_MD_TEMPLATES_FILE: Final[Path] = RUNTIME_TEMPLATES_ROOT / "agent_md_templates.json"
-AGENT_MD_TEMPLATES_FILE: Final[Path] = TEMPLATE_ROOT / "agent_md_templates.json"
+TOPIC_PRESETS_TEMPLATES_FILE: Final[Path] = RUNTIME_TEMPLATES_ROOT / "topic_presets.json"
-TOPIC_PRESETS_TEMPLATES_FILE: Final[Path] = TEMPLATE_ROOT / "topic_presets.json"
+BUNDLED_AGENT_MD_TEMPLATES_FILE: Final[Path] = BUNDLED_TEMPLATES_ROOT / "agent_md_templates.json"
+BUNDLED_TOPIC_PRESETS_TEMPLATES_FILE: Final[Path] = BUNDLED_TEMPLATES_ROOT / "topic_presets.json"

backend/core/speech_service.py

@@ -24,6 +24,39 @@ class SpeechDurationError(SpeechServiceError):
     pass
 
 
+def inspect_speech_model_status() -> Dict[str, Any]:
+    service = WhisperSpeechService()
+    model = str(STT_MODEL or "").strip()
+    model_dir = str(STT_MODEL_DIR or "").strip()
+    expected_path = ""
+
+    if model:
+        if any(sep in model for sep in ("/", "\\")):
+            expected_path = str(Path(model).expanduser())
+        elif model_dir:
+            expected_path = str((Path(model_dir).expanduser() / model).resolve())
+
+    try:
+        resolved_path = service._resolve_model_source()
+        return {
+            "ready": True,
+            "model": model,
+            "model_dir": model_dir,
+            "expected_path": expected_path or resolved_path,
+            "resolved_path": resolved_path,
+            "message": "",
+        }
+    except SpeechServiceError as exc:
+        return {
+            "ready": False,
+            "model": model,
+            "model_dir": model_dir,
+            "expected_path": expected_path,
+            "resolved_path": "",
+            "message": str(exc),
+        }
+
+
 class WhisperSpeechService:
     def __init__(self) -> None:
         self._model: Any = None

backend/services/default_assets_service.py

@@ -0,0 +1,206 @@
+from __future__ import annotations
+
+import json
+import os
+import re
+import shutil
+import zipfile
+from pathlib import Path
+from typing import Any, Dict, List
+
+from sqlmodel import Session, select
+
+from core.settings import (
+    AGENT_MD_TEMPLATES_FILE,
+    BUNDLED_AGENT_MD_TEMPLATES_FILE,
+    BUNDLED_SKILLS_ROOT,
+    BUNDLED_TOPIC_PRESETS_TEMPLATES_FILE,
+    DATA_ROOT,
+    RUNTIME_MODEL_ROOT,
+    RUNTIME_SKILLS_ROOT,
+    RUNTIME_TEMPLATES_ROOT,
+    TOPIC_PRESETS_TEMPLATES_FILE,
+)
+from core.utils import (
+    _is_ignored_skill_zip_top_level,
+    _is_valid_top_level_skill_name,
+    _read_description_from_text,
+    _sanitize_skill_market_key,
+)
+from models.skill import SkillMarketItem
+
+
+def _copy_if_missing(src: Path, dst: Path) -> bool:
+    if not src.exists() or not src.is_file():
+        return False
+    if src.resolve() == dst.resolve() if dst.exists() else False:
+        return False
+    if dst.exists():
+        return False
+    dst.parent.mkdir(parents=True, exist_ok=True)
+    shutil.copy2(src, dst)
+    return True
+
+
+def _copy_if_different(src: Path, dst: Path) -> bool:
+    if not src.exists() or not src.is_file():
+        return False
+    if src.resolve() == dst.resolve() if dst.exists() else False:
+        return False
+    dst.parent.mkdir(parents=True, exist_ok=True)
+    if dst.exists():
+        try:
+            if src.stat().st_size == dst.stat().st_size and src.read_bytes() == dst.read_bytes():
+                return False
+        except Exception:
+            pass
+    shutil.copy2(src, dst)
+    return True
+
+
+def _iter_bundled_skill_packages() -> List[Path]:
+    if not BUNDLED_SKILLS_ROOT.exists() or not BUNDLED_SKILLS_ROOT.is_dir():
+        return []
+    return sorted(path for path in BUNDLED_SKILLS_ROOT.iterdir() if path.is_file() and path.suffix.lower() == ".zip")
+
+
+def ensure_runtime_data_assets() -> Dict[str, int]:
+    Path(DATA_ROOT).mkdir(parents=True, exist_ok=True)
+    RUNTIME_TEMPLATES_ROOT.mkdir(parents=True, exist_ok=True)
+    RUNTIME_SKILLS_ROOT.mkdir(parents=True, exist_ok=True)
+    RUNTIME_MODEL_ROOT.mkdir(parents=True, exist_ok=True)
+
+    templates_initialized = 0
+    skills_synchronized = 0
+
+    if _copy_if_missing(BUNDLED_AGENT_MD_TEMPLATES_FILE, AGENT_MD_TEMPLATES_FILE):
+        templates_initialized += 1
+    if _copy_if_missing(BUNDLED_TOPIC_PRESETS_TEMPLATES_FILE, TOPIC_PRESETS_TEMPLATES_FILE):
+        templates_initialized += 1
+
+    for src in _iter_bundled_skill_packages():
+        if _copy_if_different(src, RUNTIME_SKILLS_ROOT / src.name):
+            skills_synchronized += 1
+
+    return {
+        "templates_initialized": templates_initialized,
+        "skills_synchronized": skills_synchronized,
+    }
+
+
+def _extract_skill_zip_summary(zip_path: Path) -> Dict[str, Any]:
+    entry_names: List[str] = []
+    description = ""
+    with zipfile.ZipFile(zip_path) as archive:
+        members = archive.infolist()
+        file_members = [member for member in members if not member.is_dir()]
+        for member in file_members:
+            raw_name = str(member.filename or "").replace("\\", "/").lstrip("/")
+            if not raw_name:
+                continue
+            first = raw_name.split("/", 1)[0].strip()
+            if _is_ignored_skill_zip_top_level(first):
+                continue
+            if _is_valid_top_level_skill_name(first) and first not in entry_names:
+                entry_names.append(first)
+
+        candidates = sorted(
+            [
+                str(member.filename or "").replace("\\", "/").lstrip("/")
+                for member in file_members
+                if str(member.filename or "").replace("\\", "/").rsplit("/", 1)[-1].lower()
+                in {"skill.md", "readme.md"}
+            ],
+            key=lambda value: (value.count("/"), value.lower()),
+        )
+        for candidate in candidates:
+            try:
+                with archive.open(candidate, "r") as file:
+                    preview = file.read(4096).decode("utf-8", errors="ignore")
+                description = _read_description_from_text(preview)
+                if description:
+                    break
+            except Exception:
+                continue
+    return {
+        "entry_names": entry_names,
+        "description": description,
+    }
+
+
+def _default_display_name(stem: str) -> str:
+    chunks = [chunk for chunk in re.split(r"[-_]+", str(stem or "").strip()) if chunk]
+    if not chunks:
+        return "Skill"
+    return " ".join(chunk.upper() if chunk.isupper() else chunk.capitalize() for chunk in chunks)
+
+
+def _resolve_unique_skill_key(existing_keys: set[str], preferred_key: str) -> str:
+    base_key = _sanitize_skill_market_key(preferred_key) or "skill"
+    candidate = base_key
+    counter = 2
+    while candidate in existing_keys:
+        candidate = f"{base_key}-{counter}"
+        counter += 1
+    existing_keys.add(candidate)
+    return candidate
+
+
+def ensure_default_skill_market_items(session: Session) -> Dict[str, List[str]]:
+    report: Dict[str, List[str]] = {"created": [], "updated": []}
+    default_packages = _iter_bundled_skill_packages()
+    if not default_packages:
+        return report
+
+    rows = session.exec(select(SkillMarketItem)).all()
+    existing_by_zip = {str(row.zip_filename or "").strip(): row for row in rows if str(row.zip_filename or "").strip()}
+    existing_keys = {str(row.skill_key or "").strip() for row in rows if str(row.skill_key or "").strip()}
+
+    for bundled_path in default_packages:
+        runtime_path = RUNTIME_SKILLS_ROOT / bundled_path.name
+        source_path = runtime_path if runtime_path.exists() else bundled_path
+        try:
+            summary = _extract_skill_zip_summary(source_path)
+        except Exception:
+            continue
+
+        zip_filename = bundled_path.name
+        entry_names_json = json.dumps(summary["entry_names"], ensure_ascii=False)
+        display_name = _default_display_name((summary["entry_names"] or [bundled_path.stem])[0])
+        zip_size_bytes = int(source_path.stat().st_size) if source_path.exists() else 0
+        row = existing_by_zip.get(zip_filename)
+
+        if row is None:
+            row = SkillMarketItem(
+                skill_key=_resolve_unique_skill_key(existing_keys, bundled_path.stem),
+                display_name=display_name,
+                description=str(summary["description"] or "").strip(),
+                zip_filename=zip_filename,
+                zip_size_bytes=zip_size_bytes,
+                entry_names_json=entry_names_json,
+            )
+            session.add(row)
+            existing_by_zip[zip_filename] = row
+            report["created"].append(zip_filename)
+            continue
+
+        changed = False
+        if int(row.zip_size_bytes or 0) != zip_size_bytes:
+            row.zip_size_bytes = zip_size_bytes
+            changed = True
+        if str(row.entry_names_json or "") != entry_names_json:
+            row.entry_names_json = entry_names_json
+            changed = True
+        if not str(row.display_name or "").strip():
+            row.display_name = display_name
+            changed = True
+        if not str(row.description or "").strip() and str(summary["description"] or "").strip():
+            row.description = str(summary["description"] or "").strip()
+            changed = True
+        if changed:
+            report["updated"].append(zip_filename)
+
+    if report["created"] or report["updated"]:
+        session.commit()
+
+    return report

backend/services/template_service.py

@@ -2,21 +2,30 @@ from __future__ import annotations
 
 from typing import Any, Dict, List
 
-from core.settings import AGENT_MD_TEMPLATES_FILE, TOPIC_PRESETS_TEMPLATES_FILE
+from core.settings import (
+    AGENT_MD_TEMPLATES_FILE,
+    BUNDLED_AGENT_MD_TEMPLATES_FILE,
+    BUNDLED_TOPIC_PRESETS_TEMPLATES_FILE,
+    TOPIC_PRESETS_TEMPLATES_FILE,
+)
 
 TEMPLATE_KEYS = ("agents_md", "soul_md", "user_md", "tools_md", "identity_md")
 
 
-def _load_json_object(path: str) -> Dict[str, Any]:
+def _load_json_object(path: str, fallback_path: str = "") -> Dict[str, Any]:
     import json
 
-    try:
+    for candidate in [path, fallback_path]:
-        with open(path, "r", encoding="utf-8") as file:
+        candidate = str(candidate or "").strip()
-            data = json.load(file)
+        if not candidate:
-        if isinstance(data, dict):
+            continue
-            return data
+        try:
-    except Exception:
+            with open(candidate, "r", encoding="utf-8") as file:
-        pass
+                data = json.load(file)
+            if isinstance(data, dict):
+                return data
+        except Exception:
+            continue
     return {}
 
 
@@ -36,12 +45,12 @@ def _write_json_atomic(path: str, payload: Dict[str, Any]) -> None:
 
 
 def get_agent_md_templates() -> Dict[str, str]:
-    raw = _load_json_object(str(AGENT_MD_TEMPLATES_FILE))
+    raw = _load_json_object(str(AGENT_MD_TEMPLATES_FILE), str(BUNDLED_AGENT_MD_TEMPLATES_FILE))
     return {key: _normalize_md_text(raw.get(key)) for key in TEMPLATE_KEYS}
 
 
 def get_topic_presets() -> Dict[str, Any]:
-    raw = _load_json_object(str(TOPIC_PRESETS_TEMPLATES_FILE))
+    raw = _load_json_object(str(TOPIC_PRESETS_TEMPLATES_FILE), str(BUNDLED_TOPIC_PRESETS_TEMPLATES_FILE))
     presets = raw.get("presets")
     if not isinstance(presets, list):
         return {"presets": []}
@@ -68,4 +77,3 @@ def update_topic_presets(raw: Dict[str, Any]) -> Dict[str, Any]:
 
 def get_agent_template_value(key: str) -> str:
     return get_agent_md_templates().get(key, "")
-

data/model/README.md

@@ -0,0 +1,9 @@
+# Speech Model Directory
+
+This directory is reserved for local Whisper `.bin` model files and is intentionally not committed to source control.
+
+Put the file configured by `STT_MODEL` here, for example:
+
+- `ggml-small-q8_0.bin`
+
+If the model file is missing, the backend will still start, but it will print a startup warning and speech transcription requests will not work until the file is added.

data/templates/agent_md_templates.json

@@ -0,0 +1,7 @@
+{
+  "agents_md": "- 优先完成任务目标\n- 操作前先说明意图\n- 输出必须可执行\n\n## 默认输出规范\n\n- 每次执行任务时，在 workspace 中创建新目录保存本次输出。\n- 输出内容默认采用 Markdown（.md）格式。\n- 最终报告需求.md和.htm双格式。",
+  "soul_md": "你是专业的企业数字员工，表达清晰、可执行。",
+  "user_md": "- 语言: 中文\n- 风格: 专业\n- 偏好: 简明且有步骤",
+  "tools_md": "- 谨慎使用 shell\n- 修改文件后复核\n- 失败时说明原因并重试策略",
+  "identity_md": "- 角色: 企业数字员工\n- 领域: 运维与任务执行"
+}

data/templates/topic_presets.json

@@ -0,0 +1,134 @@
+{
+  "presets": [
+    {
+      "id": "politics",
+      "topic_key": "politics_news",
+      "name": "时政新闻",
+      "description": "沉淀国内外时政动态、政策发布与重大公共治理事件，便于集中查看。",
+      "routing_purpose": "收录与政府决策、政策法规、外交事务及公共治理相关的关键信息。",
+      "routing_include_when": [
+        "时政",
+        "政策",
+        "法规",
+        "国务院",
+        "政府",
+        "部委",
+        "人大",
+        "政协",
+        "外交",
+        "国际关系",
+        "白宫",
+        "总统",
+        "议会",
+        "election",
+        "policy"
+      ],
+      "routing_exclude_when": [
+        "娱乐",
+        "明星",
+        "综艺",
+        "体育",
+        "游戏",
+        "购物",
+        "种草",
+        "广告"
+      ],
+      "routing_examples_positive": [
+        "国务院发布新一轮宏观政策措施。",
+        "外交部就国际热点事件发布声明。",
+        "某国总统宣布新的对外政策方向。"
+      ],
+      "routing_examples_negative": [
+        "某明星新剧开播引发热议。",
+        "某球队转会新闻与赛果分析。",
+        "数码产品促销与购物推荐汇总。"
+      ],
+      "routing_priority": 85
+    },
+    {
+      "id": "finance",
+      "topic_key": "finance_market",
+      "name": "财经信息",
+      "description": "聚合宏观经济、市场波动、公司财报与监管政策等财经信息。",
+      "routing_purpose": "沉淀与资本市场、行业景气、资产价格相关的关键结论与风险提示。",
+      "routing_include_when": [
+        "财经",
+        "金融",
+        "股市",
+        "A股",
+        "港股",
+        "美股",
+        "债券",
+        "汇率",
+        "利率",
+        "通胀",
+        "GDP",
+        "财报",
+        "央行",
+        "market",
+        "earnings"
+      ],
+      "routing_exclude_when": [
+        "娱乐",
+        "体育",
+        "游戏",
+        "影视",
+        "八卦",
+        "生活方式",
+        "旅行攻略"
+      ],
+      "routing_examples_positive": [
+        "央行公布最新利率决议并释放政策信号。",
+        "上市公司发布季度财报并上调全年指引。",
+        "美元指数走强导致主要货币普遍承压。"
+      ],
+      "routing_examples_negative": [
+        "某综艺节目收视排名变化。",
+        "某球员转会传闻引发讨论。",
+        "新游上线玩法测评。"
+      ],
+      "routing_priority": 80
+    },
+    {
+      "id": "tech",
+      "topic_key": "tech_updates",
+      "name": "技术资讯",
+      "description": "追踪 AI、云计算、开源社区与开发工具链的最新技术资讯。",
+      "routing_purpose": "沉淀技术发布、版本升级、兼容性变更与工程实践建议。",
+      "routing_include_when": [
+        "技术",
+        "开源",
+        "AI",
+        "模型",
+        "大语言模型",
+        "MCP",
+        "API",
+        "SDK",
+        "发布",
+        "版本",
+        "升级",
+        "breaking change",
+        "security advisory"
+      ],
+      "routing_exclude_when": [
+        "娱乐",
+        "体育",
+        "美食",
+        "旅游",
+        "情感",
+        "八卦"
+      ],
+      "routing_examples_positive": [
+        "某主流框架发布新版本并调整默认配置。",
+        "开源项目披露高危安全漏洞并给出修复方案。",
+        "AI 模型服务更新 API，返回结构发生变化。"
+      ],
+      "routing_examples_negative": [
+        "某艺人参加活动造型盘点。",
+        "旅游目的地打卡攻略合集。",
+        "比赛结果预测与竞猜。"
+      ],
+      "routing_priority": 75
+    }
+  ]
+}

docker-compose.full.yml

@@ -9,7 +9,7 @@ services:
       POSTGRES_PASSWORD: ${POSTGRES_SUPERPASSWORD:?POSTGRES_SUPERPASSWORD is required}
       POSTGRES_DB: ${POSTGRES_BOOTSTRAP_DB:-postgres}
     volumes:
-      - ${HOST_DATA_ROOT}/postgres:/var/lib/postgresql/data
+      - ./data/postgres:/var/lib/postgresql/data
     expose:
       - "5432"
     healthcheck:
@@ -32,7 +32,7 @@ services:
       TZ: ${TZ:-Asia/Shanghai}
     command: ["redis-server", "--appendonly", "yes", "--save", "60", "1000"]
     volumes:
-      - ${HOST_DATA_ROOT}/redis:/data
+      - ./data/redis:/data
     expose:
       - "6379"
     healthcheck:
@@ -74,7 +74,7 @@ services:
       DATABASE_POOL_TIMEOUT: ${DATABASE_POOL_TIMEOUT:-30}
       DATABASE_POOL_RECYCLE: ${DATABASE_POOL_RECYCLE:-1800}
       UPLOAD_MAX_MB: ${UPLOAD_MAX_MB:-100}
-      DATA_ROOT: ${HOST_DATA_ROOT}
+      DATA_ROOT: /app/data
       BOTS_WORKSPACE_ROOT: ${HOST_BOTS_WORKSPACE_ROOT}
       DATABASE_URL: postgresql+psycopg://${POSTGRES_APP_USER}:${POSTGRES_APP_PASSWORD}@postgres:5432/${POSTGRES_APP_DB}
       REDIS_ENABLED: ${REDIS_ENABLED:-true}
@@ -89,7 +89,7 @@ services:
       WORKSPACE_DOWNLOAD_EXTENSIONS: ${WORKSPACE_DOWNLOAD_EXTENSIONS:-}
       STT_ENABLED: ${STT_ENABLED:-true}
       STT_MODEL: ${STT_MODEL:-ggml-small-q8_0.bin}
-      STT_MODEL_DIR: ${STT_MODEL_DIR:-${HOST_DATA_ROOT}/model}
+      STT_MODEL_DIR: ${STT_MODEL_DIR:-/app/data/model}
       STT_DEVICE: ${STT_DEVICE:-cpu}
       STT_MAX_AUDIO_SECONDS: ${STT_MAX_AUDIO_SECONDS:-20}
       STT_DEFAULT_LANGUAGE: ${STT_DEFAULT_LANGUAGE:-zh}
@@ -99,7 +99,7 @@ services:
       STT_INITIAL_PROMPT: ${STT_INITIAL_PROMPT:-以下内容可能包含简体中文和英文术语。请优先输出简体中文，英文单词、缩写、品牌名和数字保持原文，不要翻译。}
     volumes:
       - /var/run/docker.sock:/var/run/docker.sock
-      - ${HOST_DATA_ROOT}:${HOST_DATA_ROOT}
+      - ./data:/app/data
       - ${HOST_BOTS_WORKSPACE_ROOT}:${HOST_BOTS_WORKSPACE_ROOT}
     expose:
       - "8000"

docker-compose.prod.yml

@@ -20,7 +20,7 @@ services:
       DATABASE_POOL_TIMEOUT: ${DATABASE_POOL_TIMEOUT:-30}
       DATABASE_POOL_RECYCLE: ${DATABASE_POOL_RECYCLE:-1800}
       UPLOAD_MAX_MB: ${UPLOAD_MAX_MB:-100}
-      DATA_ROOT: ${HOST_DATA_ROOT}
+      DATA_ROOT: /app/data
       BOTS_WORKSPACE_ROOT: ${HOST_BOTS_WORKSPACE_ROOT}
       DATABASE_URL: ${DATABASE_URL:-}
       REDIS_ENABLED: ${REDIS_ENABLED:-false}
@@ -33,7 +33,7 @@ services:
       PANEL_ACCESS_PASSWORD: ${PANEL_ACCESS_PASSWORD:-}
       STT_ENABLED: ${STT_ENABLED:-true}
       STT_MODEL: ${STT_MODEL:-ggml-small-q8_0.bin}
-      STT_MODEL_DIR: ${STT_MODEL_DIR:-${HOST_DATA_ROOT}/model}
+      STT_MODEL_DIR: ${STT_MODEL_DIR:-/app/data/model}
       STT_DEVICE: ${STT_DEVICE:-cpu}
       STT_MAX_AUDIO_SECONDS: ${STT_MAX_AUDIO_SECONDS:-20}
       STT_DEFAULT_LANGUAGE: ${STT_DEFAULT_LANGUAGE:-zh}
@@ -43,7 +43,7 @@ services:
       STT_INITIAL_PROMPT: ${STT_INITIAL_PROMPT:-以下内容可能包含简体中文和英文术语。请优先输出简体中文，英文单词、缩写、品牌名和数字保持原文，不要翻译。}
     volumes:
       - /var/run/docker.sock:/var/run/docker.sock
-      - ${HOST_DATA_ROOT}:${HOST_DATA_ROOT}
+      - ./data:/app/data
       - ${HOST_BOTS_WORKSPACE_ROOT}:${HOST_BOTS_WORKSPACE_ROOT}
     expose:
       - "8000"

scripts/deploy-full.sh

@@ -4,6 +4,7 @@ set -euo pipefail
 ROOT_DIR="$(cd "$(dirname "$0")/.." && pwd)"
 ENV_FILE="${1:-$ROOT_DIR/.env.full}"
 COMPOSE_FILE="$ROOT_DIR/docker-compose.full.yml"
+DATA_DIR="$ROOT_DIR/data"
 
 require_file() {
   local path="$1"
@@ -89,7 +90,6 @@ wait_for_health() {
 require_file "$ENV_FILE" "Create it from: $ROOT_DIR/.env.full.example"
 require_file "$COMPOSE_FILE" ""
 
-load_env_var HOST_DATA_ROOT
 load_env_var HOST_BOTS_WORKSPACE_ROOT
 load_env_var POSTGRES_SUPERUSER postgres
 load_env_var POSTGRES_SUPERPASSWORD
@@ -99,7 +99,6 @@ load_env_var POSTGRES_APP_USER
 load_env_var POSTGRES_APP_PASSWORD
 load_env_var NGINX_PORT 8080
 
-require_env HOST_DATA_ROOT
 require_env HOST_BOTS_WORKSPACE_ROOT
 require_env POSTGRES_SUPERUSER
 require_env POSTGRES_SUPERPASSWORD
@@ -111,10 +110,10 @@ require_env NGINX_PORT
 
 echo "[deploy-full] using env: $ENV_FILE"
 mkdir -p \
-  "$HOST_DATA_ROOT" \
+  "$DATA_DIR" \
-  "$HOST_DATA_ROOT/postgres" \
+  "$DATA_DIR/postgres" \
-  "$HOST_DATA_ROOT/redis" \
+  "$DATA_DIR/redis" \
-  "$HOST_DATA_ROOT/model" \
+  "$DATA_DIR/model" \
   "$HOST_BOTS_WORKSPACE_ROOT"
 
 docker compose --env-file "$ENV_FILE" -f "$COMPOSE_FILE" config -q

scripts/deploy-prod.sh

@@ -3,6 +3,7 @@ set -euo pipefail
 
 ROOT_DIR="$(cd "$(dirname "$0")/.." && pwd)"
 ENV_FILE="${1:-$ROOT_DIR/.env.prod}"
+DATA_DIR="$ROOT_DIR/data"
 
 if [[ ! -f "$ENV_FILE" ]]; then
   echo "Missing env file: $ENV_FILE"
@@ -11,6 +12,7 @@ if [[ ! -f "$ENV_FILE" ]]; then
 fi
 
 echo "[deploy] using env: $ENV_FILE"
+mkdir -p "$DATA_DIR" "$DATA_DIR/model"
 docker compose --env-file "$ENV_FILE" -f "$ROOT_DIR/docker-compose.prod.yml" config -q
 docker compose --env-file "$ENV_FILE" -f "$ROOT_DIR/docker-compose.prod.yml" up -d --build