Files
deerflow-code/offline-backend-20260512/backend/app/gateway/routers/skills.py
T
xuhdandClaude Opus 4.7 39def1c20b feat(skills): curator 健壮性加固 + 评审模型可配置 + 手动触发体验
调度健壮性:
- 技能进化总开关 skill_evolution.enabled 真正生效;CuratorConfig
  与 CuratorSubConfig 默认 enabled 改为 false(显式 opt-in)
- 新增 per-user 运行锁(.curator_state 的 running/started_at),
  防定时器与手动触发并发重复运行;6h stale 检测防进程残留死锁
- maybe_run_curator 改用 ThreadPoolExecutor 限并发(上限 5),
  防首次部署所有用户同时到期的惊群
- 首次运行持续失败时按 6h 退避重试,不再每个 tick 烧 LLM 配额
- should_run_now 时间解析容忍 naive 时间串;损坏的 last_run_at
  触发重跑而非永久死锁
- SkillStore 新增 list_published_names 批量接口,curator 一轮
  只查一次 published,取代逐技能查库

LLM 评审超时:
- _run_llm_review 给 agent.invoke 套整体超时
  (curator.review_timeout_seconds,默认 600s),超时中止本次评审
  并在 curator 日志输出,curator 正常收尾、释放运行锁
- copy_context 把 user 上下文传入工作线程

模型可配置:
- 新增 curator.model_name;curator 评审与技能安全审核共用该模型,
  未配置则回退主模型
- 移除独立的 moderation_model_name 配置
- 前端进化面板新增模型下拉选择器

手动触发体验:
- /api/curator/run 派发后台线程前先预检,返回 {triggered, reason},
  不再无论开关状态都提示"已开始"
- 前端:总开关/curator 开关未开时禁用"立即执行"按钮,
  被预检拦下时按原因(开关未开 / 已有任务在跑)给出准确提示

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 15:50:15 +08:00

1121 lines
50 KiB
Python

import json
import logging
import tempfile
from datetime import datetime
from pathlib import Path
from typing import Any
from fastapi import APIRouter, Body, Depends, File, HTTPException, Query, Request, UploadFile
from pydantic import BaseModel, Field
from app.gateway.deps import get_agent_store, get_config, get_skill_store, get_tag_store
from app.gateway.path_utils import resolve_thread_virtual_path
from deerflow.agents.lead_agent.prompt import refresh_skills_system_prompt_cache_async
from deerflow.config.app_config import AppConfig
from deerflow.config.extensions_config import ExtensionsConfig, SkillStateConfig, get_extensions_config, reload_extensions_config
from deerflow.persistence.skills import SkillStore
from deerflow.persistence.tags import TagStore
from deerflow.runtime.user_context import get_effective_user_id
from deerflow.skills import Skill
from deerflow.skills.cascade import cascade_skill_unpublished_or_deleted
from deerflow.skills.installer import SkillAlreadyExistsError
from deerflow.skills.security_scanner import scan_skill_content
from deerflow.skills.storage import get_or_new_skill_storage
from deerflow.skills.types import SKILL_MD_FILE, SkillCategory
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api", tags=["skills"])
# ---------------------------------------------------------------------------
# Per-user authz helpers (mirrors routers/agents.py)
# ---------------------------------------------------------------------------
def _current_user_id(request: Request) -> str:
user = getattr(request.state, "user", None)
if user is not None:
return str(user.id)
return get_effective_user_id()
def _is_admin_user(request: Request) -> bool:
user = getattr(request.state, "user", None)
return getattr(user, "system_role", None) == "admin"
async def _get_owned_skill_or_raise(store: SkillStore, name: str, user_id: str) -> dict[str, Any]:
owned = await store.get_owned(name, user_id)
if owned is not None:
return owned
visible = await store.get_visible(name, user_id)
if visible is None:
raise HTTPException(status_code=404, detail=f"Skill '{name}' not found")
raise HTTPException(status_code=403, detail="You can only modify skills that you own")
async def _get_editable_skill_or_raise(
store: SkillStore,
name: str,
user_id: str,
*,
is_admin: bool,
) -> tuple[dict[str, Any], str]:
"""Return (record, edit_mode) where edit_mode is 'owner' or 'admin'.
Admins can edit/delete any skill (including others' published ones, since
the spec lets them force-takedown). Non-admins are limited to their own.
"""
owned = await store.get_owned(name, user_id)
if owned is not None:
return owned, "owner"
record = await store.get_any(name)
if record is None:
raise HTTPException(status_code=404, detail=f"Skill '{name}' not found")
if is_admin:
return record, "admin"
raise HTTPException(status_code=403, detail="You can only modify skills that you own")
class SkillResponse(BaseModel):
"""Response model for skill information."""
name: str = Field(..., description="Name of the skill")
description: str = Field(..., description="Description of what the skill does")
license: str | None = Field(None, description="License information")
category: SkillCategory = Field(..., description="Category of the skill (public or custom)")
enabled: bool = Field(default=True, description="Whether this skill is enabled")
use_count: int = Field(default=0, description="Number of times the skill has been used")
view_count: int = Field(default=0, description="Number of times the skill has been viewed")
patch_count: int = Field(default=0, description="Number of times the skill has been patched")
last_activity_at: datetime | None = Field(default=None, description="Most recent activity timestamp")
state: str = Field(default="active", description="Lifecycle state: active, stale, or archived")
pinned: bool = Field(default=False, description="Whether this skill is pinned (excluded from curation)")
source: str = Field(default="upload", description="Origin: 'agent' for agent-created, 'upload' for user-uploaded")
owner_user_id: str | None = Field(default=None, description="Custom skill owner (null = built-in or legacy)")
published: bool = Field(default=False, description="Whether the owner has made this skill visible to other users")
builtin: bool = Field(default=False, description="True when owner_user_id is null (no human owner)")
tags: list[dict] = Field(default_factory=list, description="Tags assigned to this skill")
class SkillsListResponse(BaseModel):
"""Response model for listing all skills."""
skills: list[SkillResponse]
class SkillUpdateRequest(BaseModel):
"""Request model for updating a skill."""
enabled: bool = Field(..., description="Whether to enable or disable the skill")
class SkillInstallRequest(BaseModel):
"""Request model for installing a skill from a .skill file."""
thread_id: str = Field(..., description="The thread ID where the .skill file is located")
path: str = Field(..., description="Virtual path to the .skill file (e.g., mnt/user-data/outputs/my-skill.skill)")
target_category: SkillCategory = Field(default=SkillCategory.CUSTOM, description="Destination category: 'public' (admin only) or 'custom'")
class SkillInstallResponse(BaseModel):
"""Response model for skill installation."""
success: bool = Field(..., description="Whether the installation was successful")
skill_name: str = Field(..., description="Name of the installed skill")
message: str = Field(..., description="Installation result message")
overwritten: bool = Field(default=False, description="True if an existing skill was replaced")
category: str = Field(default="custom", description="Destination category: 'public' (admin) or 'custom'")
class SkillUploadValidateResponse(BaseModel):
"""Response model for the pre-install validation endpoint."""
ok: bool = Field(..., description="Whether the archive passed cheap validation")
skill_name: str = Field(..., description="Skill name parsed from frontmatter")
description: str = Field(default="", description="Skill description parsed from frontmatter")
license: str | None = Field(default=None, description="Skill license, if declared")
allowed_tools: list[str] = Field(default_factory=list, description="Tools the skill may invoke")
conflict: bool = Field(default=False, description="True if a skill with the same name already exists")
conflict_kind: str | None = Field(default=None, description="'public' or 'custom' when conflict=true")
warnings: list[str] = Field(default_factory=list, description="Non-fatal warnings to surface to the user")
class CustomSkillContentResponse(SkillResponse):
content: str = Field(..., description="Raw SKILL.md content")
class CustomSkillUpdateRequest(BaseModel):
content: str = Field(..., description="Replacement SKILL.md content")
class CustomSkillHistoryResponse(BaseModel):
history: list[dict]
class SkillRollbackRequest(BaseModel):
history_index: int = Field(default=-1, description="History entry index to restore from, defaulting to the latest change.")
def _skill_to_response(skill: Skill, ownership: dict[str, Any] | None = None) -> SkillResponse:
"""Convert a Skill object to a SkillResponse.
``ownership`` is the skill's record from ``SkillStore`` (or None for public
built-in skills which never have a DB row). When present, contributes the
``owner_user_id`` / ``published`` / ``builtin`` fields used for per-user
visibility and the frontend's owner badges.
"""
from deerflow.skills.usage import get_entry, latest_activity_at
entry = get_entry(skill.name)
last_at_str = latest_activity_at(skill.name)
last_at: datetime | None = None
if last_at_str:
try:
last_at = datetime.fromisoformat(last_at_str)
except Exception:
pass
owner_user_id: str | None = None
published = False
builtin = skill.category != SkillCategory.CUSTOM
if ownership is not None:
owner_user_id = ownership.get("owner_user_id")
published = bool(ownership.get("published", False))
builtin = bool(ownership.get("builtin", owner_user_id is None))
return SkillResponse(
name=skill.name,
description=skill.description,
license=skill.license,
category=skill.category,
enabled=skill.enabled,
use_count=entry.get("use_count", 0),
view_count=entry.get("view_count", 0),
patch_count=entry.get("patch_count", 0),
last_activity_at=last_at,
state=entry.get("state", "active"),
pinned=entry.get("pinned", False),
source=entry.get("source", "upload"),
owner_user_id=owner_user_id,
published=published,
builtin=builtin,
)
async def _build_ownership_index(skill_store: SkillStore, user_id: str) -> dict[str, dict[str, Any]]:
"""Index visible-to-user skill records by name. Internal call cache for list endpoints."""
records = await skill_store.list_visible(user_id)
return {record["name"]: record for record in records}
async def _attach_and_filter_tags(
tag_store: TagStore,
responses: list[SkillResponse],
search: str | None,
tag_id: str | None,
) -> list[SkillResponse]:
"""Bulk-attach tags to skill responses, then apply name/tag filters."""
assignments = await tag_store.list_assignments("skill", [r.name for r in responses])
for resp in responses:
resp.tags = assignments.get(resp.name, [])
if search:
needle = search.strip().lower()
responses = [r for r in responses if needle in r.name.lower()]
if tag_id:
responses = [r for r in responses if any(t.get("id") == tag_id for t in r.tags)]
return responses
@router.get(
"/skills",
response_model=SkillsListResponse,
summary="List All Skills",
description="Retrieve a list of all available skills from both public and custom directories.",
)
async def list_skills(
request: Request,
config: AppConfig = Depends(get_config),
skill_store: SkillStore = Depends(get_skill_store),
tag_store: TagStore = Depends(get_tag_store),
search: str | None = Query(default=None, description="Case-insensitive fuzzy match on skill name"),
tag_id: str | None = Query(default=None, description="Keep only skills carrying this tag"),
) -> SkillsListResponse:
try:
user_id = _current_user_id(request)
all_skills = get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False)
ownership = await _build_ownership_index(skill_store, user_id)
responses: list[SkillResponse] = []
for skill in all_skills:
# Public/built-in skills (no DB row) are visible to everyone.
# Custom skills must have an ownership record in the visible set.
if skill.category != SkillCategory.CUSTOM:
responses.append(_skill_to_response(skill))
continue
record = ownership.get(skill.name)
if record is None:
continue
responses.append(_skill_to_response(skill, record))
responses = await _attach_and_filter_tags(tag_store, responses, search, tag_id)
return SkillsListResponse(skills=responses)
except Exception as e:
logger.error(f"Failed to load skills: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to load skills: {str(e)}")
_MAX_SKILL_UPLOAD_BYTES = 512 * 1024 * 1024
_ZIP_MAGIC = b"PK\x03\x04"
async def _persist_uploaded_skill(file: UploadFile) -> Path:
"""Stream an uploaded skill archive to a temp file. Caller must unlink it.
Validates the leading bytes look like a ZIP archive and enforces the same
512 MB cap that the extractor uses, so we reject obvious garbage early.
"""
if file.filename is None:
raise HTTPException(status_code=400, detail="No file provided")
suffix = Path(file.filename).suffix.lower()
if suffix not in {".zip", ".skill"}:
raise HTTPException(status_code=400, detail="Skill upload must be a .zip or .skill file")
fd, tmp_name = tempfile.mkstemp(suffix=".skill", prefix="skill-upload-")
tmp_path = Path(tmp_name)
total = 0
head: bytes = b""
try:
with open(fd, "wb") as out:
while True:
chunk = await file.read(1024 * 1024)
if not chunk:
break
if not head:
head = chunk[: len(_ZIP_MAGIC)]
total += len(chunk)
if total > _MAX_SKILL_UPLOAD_BYTES:
raise HTTPException(status_code=400, detail="Uploaded skill archive exceeds the 512 MB limit")
out.write(chunk)
except HTTPException:
tmp_path.unlink(missing_ok=True)
raise
except Exception:
tmp_path.unlink(missing_ok=True)
raise
if not head.startswith(_ZIP_MAGIC):
tmp_path.unlink(missing_ok=True)
raise HTTPException(status_code=400, detail="Uploaded file is not a valid ZIP archive")
return tmp_path
@router.post(
"/skills/validate",
response_model=SkillUploadValidateResponse,
summary="Validate Skill Archive (No Install)",
description="Inspect an uploaded .zip/.skill archive and report parsed metadata + conflicts. Does NOT install or run the LLM security scan.",
)
async def validate_skill_upload(
file: UploadFile = File(..., description="The .zip or .skill archive to validate"),
config: AppConfig = Depends(get_config),
) -> SkillUploadValidateResponse:
tmp_path = await _persist_uploaded_skill(file)
try:
result = get_or_new_skill_storage(app_config=config).validate_skill_archive(tmp_path)
return SkillUploadValidateResponse(**result)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except FileNotFoundError as e:
raise HTTPException(status_code=404, detail=str(e))
except HTTPException:
raise
except Exception as e:
logger.error("Failed to validate uploaded skill: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to validate skill: {e}")
finally:
tmp_path.unlink(missing_ok=True)
@router.post(
"/skills/install-upload",
response_model=SkillInstallResponse,
summary="Install Skill from Upload",
description="Install a skill directly from an uploaded .zip/.skill archive. Set ?overwrite=true to replace an existing skill with the same name.",
)
async def install_skill_upload(
request: Request,
file: UploadFile = File(..., description="The .zip or .skill archive to install"),
overwrite: bool = False,
target_category: SkillCategory = SkillCategory.CUSTOM,
config: AppConfig = Depends(get_config),
skill_store: SkillStore = Depends(get_skill_store),
) -> SkillInstallResponse:
user_id = _current_user_id(request)
is_admin = _is_admin_user(request)
# Only admins may install to the public (built-in) directory.
if target_category == SkillCategory.PUBLIC and not is_admin:
raise HTTPException(status_code=403, detail="Only admin users can install skills to the public directory")
tmp_path = await _persist_uploaded_skill(file)
try:
storage = get_or_new_skill_storage(app_config=config)
# Pre-parse the archive to learn the skill name without writing anything,
# so we can reject the upload before touching the filesystem if another
# user already owns this name. Admins bypass the ownership check since
# they install to the shared public directory.
try:
validation = storage.validate_skill_archive(tmp_path)
preview_name = validation.get("skill_name") if isinstance(validation, dict) else None
except Exception:
preview_name = None
if preview_name and not is_admin:
existing = await skill_store.get_any(preview_name)
if existing and existing.get("owner_user_id") not in (None, user_id):
raise HTTPException(
status_code=409,
detail=f"Skill '{preview_name}' already exists and is owned by another user",
)
result = await storage.ainstall_skill_from_archive(tmp_path, overwrite=overwrite, require_skill_suffix=False, target_category=target_category)
try:
from deerflow.skills.usage import mark_uploaded
mark_uploaded(result["skill_name"])
except Exception:
pass
# For public installs (admin), register as built-in with no owner.
# For custom installs, register ownership under the uploading user.
if target_category == SkillCategory.PUBLIC:
await skill_store.ensure_legacy(
{"name": result["skill_name"], "owner_user_id": None, "published": True}
)
else:
# ``ensure_legacy`` is idempotent and only patches a NULL owner; it
# never overwrites an existing owner, so the pre-parse check above
# is what really guards cross-user steals.
await skill_store.ensure_legacy(
{"name": result["skill_name"], "owner_user_id": user_id, "published": False}
)
await refresh_skills_system_prompt_cache_async()
return SkillInstallResponse(**result)
except FileNotFoundError as e:
raise HTTPException(status_code=404, detail=str(e))
except SkillAlreadyExistsError as e:
raise HTTPException(status_code=409, detail=str(e))
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except HTTPException:
raise
except Exception as e:
logger.error("Failed to install uploaded skill: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to install skill: {e}")
finally:
tmp_path.unlink(missing_ok=True)
@router.post(
"/skills/install",
response_model=SkillInstallResponse,
summary="Install Skill",
description="Install a skill from a .skill file (ZIP archive) located in the thread's user-data directory.",
)
async def install_skill(
body: SkillInstallRequest,
request: Request,
config: AppConfig = Depends(get_config),
skill_store: SkillStore = Depends(get_skill_store),
) -> SkillInstallResponse:
try:
user_id = _current_user_id(request)
is_admin = _is_admin_user(request)
target_category = body.target_category
if target_category == SkillCategory.PUBLIC and not is_admin:
raise HTTPException(status_code=403, detail="Only admin users can install skills to the public directory")
skill_file_path = resolve_thread_virtual_path(body.thread_id, body.path)
result = await get_or_new_skill_storage(app_config=config).ainstall_skill_from_archive(skill_file_path, target_category=target_category)
try:
from deerflow.skills.usage import mark_uploaded
mark_uploaded(result["skill_name"])
except Exception:
pass
if target_category == SkillCategory.PUBLIC:
await skill_store.ensure_legacy(
{"name": result["skill_name"], "owner_user_id": None, "published": True}
)
else:
await skill_store.ensure_legacy(
{"name": result["skill_name"], "owner_user_id": user_id, "published": False}
)
await refresh_skills_system_prompt_cache_async()
return SkillInstallResponse(**result)
except FileNotFoundError as e:
raise HTTPException(status_code=404, detail=str(e))
except SkillAlreadyExistsError as e:
raise HTTPException(status_code=409, detail=str(e))
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to install skill: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to install skill: {str(e)}")
@router.get("/skills/custom", response_model=SkillsListResponse, summary="List Custom Skills")
async def list_custom_skills(
request: Request,
config: AppConfig = Depends(get_config),
skill_store: SkillStore = Depends(get_skill_store),
) -> SkillsListResponse:
try:
user_id = _current_user_id(request)
custom = [s for s in get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False) if s.category == SkillCategory.CUSTOM]
ownership = await _build_ownership_index(skill_store, user_id)
responses = [
_skill_to_response(skill, ownership[skill.name])
for skill in custom
if skill.name in ownership
]
return SkillsListResponse(skills=responses)
except Exception as e:
logger.error("Failed to list custom skills: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to list custom skills: {str(e)}")
@router.get("/skills/custom/{skill_name}", response_model=CustomSkillContentResponse, summary="Get Custom Skill Content")
async def get_custom_skill(skill_name: str, config: AppConfig = Depends(get_config)) -> CustomSkillContentResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
skills = get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False)
skill = next((s for s in skills if s.name == skill_name and s.category == SkillCategory.CUSTOM), None)
if skill is None:
raise HTTPException(status_code=404, detail=f"Custom skill '{skill_name}' not found")
return CustomSkillContentResponse(**_skill_to_response(skill).model_dump(), content=get_or_new_skill_storage(app_config=config).read_custom_skill(skill_name))
except HTTPException:
raise
except Exception as e:
logger.error("Failed to get custom skill %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get custom skill: {str(e)}")
@router.put("/skills/custom/{skill_name}", response_model=CustomSkillContentResponse, summary="Edit Custom Skill")
async def update_custom_skill(skill_name: str, request: CustomSkillUpdateRequest, config: AppConfig = Depends(get_config)) -> CustomSkillContentResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
storage = get_or_new_skill_storage(app_config=config)
storage.ensure_custom_skill_is_editable(skill_name)
storage.validate_skill_markdown_content(skill_name, request.content)
scan = await scan_skill_content(request.content, executable=False, location=f"{skill_name}/{SKILL_MD_FILE}", app_config=config)
if scan.decision == "block":
raise HTTPException(status_code=400, detail=f"Security scan blocked the edit: {scan.reason}")
prev_content = storage.read_custom_skill(skill_name)
storage.write_custom_skill(skill_name, SKILL_MD_FILE, request.content)
storage.append_history(
skill_name,
{
"action": "human_edit",
"author": "human",
"thread_id": None,
"file_path": SKILL_MD_FILE,
"prev_content": prev_content,
"new_content": request.content,
"scanner": {"decision": scan.decision, "reason": scan.reason},
},
)
try:
from deerflow.skills.usage import bump_patch
bump_patch(skill_name)
except Exception:
pass
await refresh_skills_system_prompt_cache_async()
return await get_custom_skill(skill_name, config)
except HTTPException:
raise
except FileNotFoundError as e:
raise HTTPException(status_code=404, detail=str(e))
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.error("Failed to update custom skill %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to update custom skill: {str(e)}")
@router.delete("/skills/custom/{skill_name}", summary="Delete Custom Skill")
async def delete_custom_skill(
skill_name: str,
request: Request,
config: AppConfig = Depends(get_config),
skill_store: SkillStore = Depends(get_skill_store),
agent_store=Depends(get_agent_store),
) -> dict[str, bool]:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
user_id = _current_user_id(request)
is_admin = _is_admin_user(request)
record, mode = await _get_editable_skill_or_raise(skill_store, skill_name, user_id, is_admin=is_admin)
operation = "admin_takedown" if mode == "admin" and record.get("owner_user_id") not in (None, user_id) else "delete"
storage = get_or_new_skill_storage(app_config=config)
storage.delete_custom_skill(
skill_name,
history_meta={
"action": "human_delete",
"author": "human",
"thread_id": None,
"file_path": SKILL_MD_FILE,
"prev_content": None,
"new_content": None,
"scanner": {"decision": "allow", "reason": "Deletion requested."},
},
)
try:
from deerflow.skills.usage import forget
forget(skill_name)
except Exception:
pass
# Persist ownership record removal so the DB stays consistent.
if mode == "admin":
await skill_store.delete_admin(skill_name)
else:
await skill_store.delete(skill_name, user_id)
try:
await get_tag_store(request).unassign_all("skill", skill_name)
except Exception: # noqa: BLE001 — tag cleanup must not block deletion
pass
# Strip references from every agent that pulled this skill in,
# and notify their owners (no-op for self).
await cascade_skill_unpublished_or_deleted(
skill_name,
actor_user_id=user_id,
operation=operation,
skill_owner_user_id=record.get("owner_user_id"),
agent_store=agent_store,
)
await refresh_skills_system_prompt_cache_async()
return {"success": True}
except HTTPException:
raise
except FileNotFoundError as e:
raise HTTPException(status_code=404, detail=str(e))
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.error("Failed to delete custom skill %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to delete custom skill: {str(e)}")
class SkillPublishRequest(BaseModel):
"""Request body for toggling a custom skill's published flag."""
published: bool = Field(..., description="Whether to publish (True) or unpublish (False)")
class SkillPublishResponse(BaseModel):
name: str
owner_user_id: str | None
published: bool
@router.put(
"/skills/custom/{skill_name}/published",
response_model=SkillPublishResponse,
summary="Toggle Custom Skill Published State",
)
async def update_custom_skill_published(
skill_name: str,
body: SkillPublishRequest,
request: Request,
skill_store: SkillStore = Depends(get_skill_store),
agent_store=Depends(get_agent_store),
) -> SkillPublishResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
user_id = _current_user_id(request)
is_admin = _is_admin_user(request)
record, mode = await _get_editable_skill_or_raise(skill_store, skill_name, user_id, is_admin=is_admin)
was_published = bool(record.get("published", False))
if mode == "admin":
updated = await skill_store.update_admin(skill_name, {"published": body.published})
else:
updated = await skill_store.update(skill_name, user_id, {"published": body.published})
if updated is None:
raise HTTPException(status_code=500, detail="Failed to persist published state")
# If we are *removing* visibility (was published, now not), strip from
# other users' agents and notify them. admin takedown is signaled by
# the actor not being the owner.
if was_published and not body.published:
skill_owner = record.get("owner_user_id")
operation = "admin_takedown" if mode == "admin" and skill_owner not in (None, user_id) else "unpublish"
await cascade_skill_unpublished_or_deleted(
skill_name,
actor_user_id=user_id,
operation=operation,
skill_owner_user_id=skill_owner,
agent_store=agent_store,
)
await refresh_skills_system_prompt_cache_async()
return SkillPublishResponse(
name=updated["name"],
owner_user_id=updated.get("owner_user_id"),
published=bool(updated.get("published", False)),
)
except HTTPException:
raise
except Exception as e:
logger.error("Failed to update published state for %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to update published state: {str(e)}")
_ALLOWED_USER_STATES = {"active", "archived"}
class SkillStateRequest(BaseModel):
"""Request body for switching a custom skill's lifecycle state."""
state: str = Field(..., description="New state: 'active' (restore) or 'archived' (soft archive)")
class SkillPinRequest(BaseModel):
"""Request body for pinning / unpinning a custom skill."""
pinned: bool = Field(..., description="Whether to pin (true) so the curator never auto-archives this skill")
def _reload_skill_response(skill_name: str, ownership: dict[str, Any], config: AppConfig) -> SkillResponse:
"""Reload a single skill from disk and return its API response form."""
skills = get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False)
skill = next((s for s in skills if s.name == skill_name), None)
if skill is None:
raise HTTPException(status_code=404, detail=f"Skill '{skill_name}' not found on disk")
return _skill_to_response(skill, ownership)
@router.put(
"/skills/custom/{skill_name}/state",
response_model=SkillResponse,
summary="Update Custom Skill Lifecycle State",
description="Restore (active) or soft-archive a custom skill. Only the owner or admins may invoke.",
)
async def update_custom_skill_state(
skill_name: str,
body: SkillStateRequest,
request: Request,
config: AppConfig = Depends(get_config),
skill_store: SkillStore = Depends(get_skill_store),
) -> SkillResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
if body.state not in _ALLOWED_USER_STATES:
raise HTTPException(
status_code=400,
detail=f"state must be one of {sorted(_ALLOWED_USER_STATES)}",
)
user_id = _current_user_id(request)
is_admin = _is_admin_user(request)
record, _mode = await _get_editable_skill_or_raise(skill_store, skill_name, user_id, is_admin=is_admin)
from deerflow.skills.usage import set_state as _usage_set_state
_usage_set_state(skill_name, body.state)
await refresh_skills_system_prompt_cache_async()
return _reload_skill_response(skill_name, record, config)
except HTTPException:
raise
except Exception as e:
logger.error("Failed to update state for %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to update state: {e}")
@router.put(
"/skills/custom/{skill_name}/pinned",
response_model=SkillResponse,
summary="Pin or Unpin a Custom Skill",
description="Pin a skill so the curator never auto-archives it. Only the owner or admins may invoke.",
)
async def update_custom_skill_pinned(
skill_name: str,
body: SkillPinRequest,
request: Request,
config: AppConfig = Depends(get_config),
skill_store: SkillStore = Depends(get_skill_store),
) -> SkillResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
user_id = _current_user_id(request)
is_admin = _is_admin_user(request)
record, _mode = await _get_editable_skill_or_raise(skill_store, skill_name, user_id, is_admin=is_admin)
from deerflow.skills.usage import set_pinned as _usage_set_pinned
_usage_set_pinned(skill_name, body.pinned)
return _reload_skill_response(skill_name, record, config)
except HTTPException:
raise
except Exception as e:
logger.error("Failed to update pinned for %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to update pinned: {e}")
@router.get("/skills/custom/{skill_name}/history", response_model=CustomSkillHistoryResponse, summary="Get Custom Skill History")
async def get_custom_skill_history(skill_name: str, config: AppConfig = Depends(get_config)) -> CustomSkillHistoryResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
storage = get_or_new_skill_storage(app_config=config)
if not storage.custom_skill_exists(skill_name) and not storage.get_skill_history_file(skill_name).exists():
raise HTTPException(status_code=404, detail=f"Custom skill '{skill_name}' not found")
return CustomSkillHistoryResponse(history=storage.read_history(skill_name))
except HTTPException:
raise
except Exception as e:
logger.error("Failed to read history for %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to read history: {str(e)}")
@router.post("/skills/custom/{skill_name}/rollback", response_model=CustomSkillContentResponse, summary="Rollback Custom Skill")
async def rollback_custom_skill(skill_name: str, request: SkillRollbackRequest, config: AppConfig = Depends(get_config)) -> CustomSkillContentResponse:
try:
storage = get_or_new_skill_storage(app_config=config)
if not storage.custom_skill_exists(skill_name) and not storage.get_skill_history_file(skill_name).exists():
raise HTTPException(status_code=404, detail=f"Custom skill '{skill_name}' not found")
history = storage.read_history(skill_name)
if not history:
raise HTTPException(status_code=400, detail=f"Custom skill '{skill_name}' has no history")
record = history[request.history_index]
target_content = record.get("prev_content")
if target_content is None:
raise HTTPException(status_code=400, detail="Selected history entry has no previous content to roll back to")
storage.validate_skill_markdown_content(skill_name, target_content)
scan = await scan_skill_content(target_content, executable=False, location=f"{skill_name}/{SKILL_MD_FILE}", app_config=config)
skill_file = storage.get_custom_skill_file(skill_name)
current_content = skill_file.read_text(encoding="utf-8") if skill_file.exists() else None
history_entry = {
"action": "rollback",
"author": "human",
"thread_id": None,
"file_path": SKILL_MD_FILE,
"prev_content": current_content,
"new_content": target_content,
"rollback_from_ts": record.get("ts"),
"scanner": {"decision": scan.decision, "reason": scan.reason},
}
if scan.decision == "block":
storage.append_history(skill_name, history_entry)
raise HTTPException(status_code=400, detail=f"Rollback blocked by security scanner: {scan.reason}")
storage.write_custom_skill(skill_name, SKILL_MD_FILE, target_content)
storage.append_history(skill_name, history_entry)
await refresh_skills_system_prompt_cache_async()
return await get_custom_skill(skill_name, config)
except HTTPException:
raise
except IndexError:
raise HTTPException(status_code=400, detail="history_index is out of range")
except FileNotFoundError as e:
raise HTTPException(status_code=404, detail=str(e))
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
except Exception as e:
logger.error("Failed to roll back custom skill %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to roll back custom skill: {str(e)}")
@router.get(
"/skills/{skill_name}",
response_model=SkillResponse,
summary="Get Skill Details",
description="Retrieve detailed information about a specific skill by its name.",
)
async def get_skill(skill_name: str, config: AppConfig = Depends(get_config)) -> SkillResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
skills = get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False)
skill = next((s for s in skills if s.name == skill_name), None)
if skill is None:
raise HTTPException(status_code=404, detail=f"Skill '{skill_name}' not found")
return _skill_to_response(skill)
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to get skill {skill_name}: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get skill: {str(e)}")
class SkillContentResponse(BaseModel):
"""SKILL.md 原文内容,适用于公共和自定义技能。"""
name: str
category: SkillCategory
content: str
@router.get(
"/skills/{skill_name}/content",
response_model=SkillContentResponse,
summary="Get Skill Markdown Content",
description="Retrieve the raw SKILL.md content of a specific skill (public or custom).",
)
async def get_skill_content(skill_name: str, config: AppConfig = Depends(get_config)) -> SkillContentResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
skills = get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False)
skill = next((s for s in skills if s.name == skill_name), None)
if skill is None:
raise HTTPException(status_code=404, detail=f"Skill '{skill_name}' not found")
content = skill.skill_file.read_text(encoding="utf-8")
return SkillContentResponse(name=skill.name, category=skill.category, content=content)
except HTTPException:
raise
except Exception as e:
logger.error("Failed to get skill content %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get skill content: {str(e)}")
@router.put(
"/skills/{skill_name}",
response_model=SkillResponse,
summary="Update Skill",
description="Update a skill's enabled status by modifying the extensions_config.json file.",
)
async def update_skill(skill_name: str, request: SkillUpdateRequest, config: AppConfig = Depends(get_config)) -> SkillResponse:
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
skills = get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False)
skill = next((s for s in skills if s.name == skill_name), None)
if skill is None:
raise HTTPException(status_code=404, detail=f"Skill '{skill_name}' not found")
config_path = ExtensionsConfig.resolve_config_path()
if config_path is None:
config_path = Path.cwd().parent / "extensions_config.json"
logger.info(f"No existing extensions config found. Creating new config at: {config_path}")
extensions_config = get_extensions_config()
extensions_config.skills[skill_name] = SkillStateConfig(enabled=request.enabled)
config_data = {
"mcpServers": {name: server.model_dump() for name, server in extensions_config.mcp_servers.items()},
"skills": {name: {"enabled": skill_config.enabled} for name, skill_config in extensions_config.skills.items()},
}
with open(config_path, "w", encoding="utf-8") as f:
json.dump(config_data, f, indent=2)
logger.info(f"Skills configuration updated and saved to: {config_path}")
reload_extensions_config()
await refresh_skills_system_prompt_cache_async()
skills = get_or_new_skill_storage(app_config=config).load_skills(enabled_only=False)
updated_skill = next((s for s in skills if s.name == skill_name), None)
if updated_skill is None:
raise HTTPException(status_code=500, detail=f"Failed to reload skill '{skill_name}' after update")
logger.info(f"Skill '{skill_name}' enabled status updated to {request.enabled}")
return _skill_to_response(updated_skill)
except HTTPException:
raise
except Exception as e:
logger.error(f"Failed to update skill {skill_name}: {e}", exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to update skill: {str(e)}")
class SkillPinRequest(BaseModel):
pinned: bool = Field(..., description="Whether to pin or unpin the skill")
@router.post("/skills/custom/{skill_name}/pin", response_model=SkillResponse, summary="Pin or Unpin Skill")
async def pin_skill(skill_name: str, request: SkillPinRequest, config: AppConfig = Depends(get_config)) -> SkillResponse:
"""Pin a skill to prevent it from being automatically archived by the curator."""
try:
skill_name = skill_name.replace("\r\n", "").replace("\n", "")
storage = get_or_new_skill_storage(app_config=config)
if not storage.custom_skill_exists(skill_name):
raise HTTPException(status_code=404, detail=f"Custom skill '{skill_name}' not found")
from deerflow.skills.usage import set_pinned
set_pinned(skill_name, request.pinned)
skills = storage.load_skills(enabled_only=False)
skill = next((s for s in skills if s.name == skill_name), None)
if skill is None:
raise HTTPException(status_code=404, detail=f"Skill '{skill_name}' not found")
return _skill_to_response(skill)
except HTTPException:
raise
except Exception as e:
logger.error("Failed to pin skill %s: %s", skill_name, e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to pin skill: {str(e)}")
@router.get("/curator/status", summary="Curator Status")
async def curator_status(request: Request) -> dict:
"""Return the current curator state and per-lifecycle skill counts for the
authenticated user."""
try:
from deerflow.skills.curator import get_curator_status
return get_curator_status(_current_user_id(request))
except Exception as e:
logger.error("Failed to get curator status: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to get curator status: {str(e)}")
@router.post("/curator/run", summary="Trigger Curator Run")
async def run_curator(request: Request) -> dict:
"""Manually trigger a curator review pass for the authenticated user
(bypasses the interval check, runs in a background thread).
Pre-checks the master switch / curator switch / run lock so the response
accurately reflects whether a run actually started — instead of always
reporting success. Returns ``{"triggered": bool, "reason": str | None}``.
"""
try:
import threading
from deerflow.skills.curator import _curator_thread_target, manual_trigger_blocked_reason
user_id = _current_user_id(request)
reason = manual_trigger_blocked_reason(user_id)
if reason is not None:
return {"triggered": False, "reason": reason}
thread = threading.Thread(
target=_curator_thread_target,
args=(user_id,),
daemon=True,
name=f"skill-curator-manual-{user_id}",
)
thread.start()
return {"triggered": True, "reason": None}
except Exception as e:
logger.error("Failed to trigger curator: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to trigger curator: {str(e)}")
class CuratorSubConfig(BaseModel):
"""Nested curator configuration mirroring CuratorConfig."""
# 与 CuratorConfig.enabled 保持一致:默认关闭,需显式 opt-in。
enabled: bool = Field(default=False, description="Whether the curator runs automatically.")
interval_hours: int = Field(default=168, ge=1, description="Hours between curator runs.")
stale_after_days: int = Field(default=30, ge=1, description="Days of inactivity before a skill is marked stale.")
archive_after_days: int = Field(default=90, ge=1, description="Days of inactivity before a stale skill is archived.")
review_timeout_seconds: int = Field(default=600, ge=1, description="Overall timeout (seconds) for the LLM review pass.")
model_name: str | None = Field(default=None, description="Model name for the curator LLM review pass; null = primary model.")
class CuratorConfigResponse(BaseModel):
"""Response model exposing the effective skill_evolution config."""
enabled: bool
curator: CuratorSubConfig
class CuratorConfigRequest(BaseModel):
"""Payload for updating skill_evolution overrides.
All fields are required so the frontend always sends a complete config;
backend writes the entire payload to skill_evolution.json atomically.
"""
enabled: bool = Field(..., description="Whether the agent can create and modify skills under skills/custom.")
curator: CuratorSubConfig
class CuratorLogRecord(BaseModel):
ts: str
level: str
message: str
class CuratorLogsResponse(BaseModel):
records: list[CuratorLogRecord]
run_count: int
last_run_at: str | None
def _build_curator_config_response(evo) -> CuratorConfigResponse:
"""Pure helper so both the GET route and the post-PUT refresh share one shape.
``evo`` is a ``SkillEvolutionConfig`` instance (already merged with per-user
overrides if any).
"""
return CuratorConfigResponse(
enabled=evo.enabled,
curator=CuratorSubConfig(
enabled=evo.curator.enabled,
interval_hours=evo.curator.interval_hours,
stale_after_days=evo.curator.stale_after_days,
archive_after_days=evo.curator.archive_after_days,
review_timeout_seconds=evo.curator.review_timeout_seconds,
model_name=evo.curator.model_name,
),
)
@router.get("/curator/config", response_model=CuratorConfigResponse, summary="Get Skill Evolution Config")
async def get_curator_config(request: Request) -> CuratorConfigResponse:
"""Return the current curator config for the authenticated user (yaml
defaults + that user's overrides)."""
try:
from deerflow.config.skill_evolution_runtime import load_skill_evolution_config_for_user
evo = load_skill_evolution_config_for_user(_current_user_id(request))
return _build_curator_config_response(evo)
except Exception as e:
logger.error("Failed to read curator config: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to read curator config: {str(e)}")
@router.put("/curator/config", response_model=CuratorConfigResponse, summary="Update Skill Evolution Config")
async def update_curator_config(body: CuratorConfigRequest, request: Request) -> CuratorConfigResponse:
"""Persist per-user overrides to ``users/{user_id}/skill_evolution.json``
and return the effective merged config.
The payload is validated against the ``SkillEvolutionConfig`` shape; unknown
fields are rejected.
"""
try:
from deerflow.config.skill_evolution_config import SkillEvolutionConfig
from deerflow.config.skill_evolution_runtime import load_skill_evolution_config_for_user, save_user_overrides
user_id = _current_user_id(request)
payload = body.model_dump()
# Round-trip through SkillEvolutionConfig to ensure persisted shape stays valid.
SkillEvolutionConfig.model_validate(payload)
save_user_overrides(user_id, payload)
return _build_curator_config_response(load_skill_evolution_config_for_user(user_id))
except HTTPException:
raise
except Exception as e:
logger.error("Failed to update curator config: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to update curator config: {str(e)}")
@router.get("/curator/logs", response_model=CuratorLogsResponse, summary="Recent Curator Logs")
async def get_curator_logs(request: Request) -> CuratorLogsResponse:
"""Return in-memory log records from the most recent curator run for the
authenticated user.
The buffer is process-local and cleared when curator starts a new run or
when the backend restarts. Records are ordered oldest → newest.
"""
try:
from deerflow.skills import curator_log
from deerflow.skills.curator import get_curator_status
user_id = _current_user_id(request)
records = curator_log.get_recent(user_id)
status = get_curator_status(user_id)
return CuratorLogsResponse(
records=[CuratorLogRecord(**r) for r in records],
run_count=int(status.get("run_count", 0)),
last_run_at=status.get("last_run_at"),
)
except Exception as e:
logger.error("Failed to read curator logs: %s", e, exc_info=True)
raise HTTPException(status_code=500, detail=f"Failed to read curator logs: {str(e)}")