refactor(core): 工具注册声明式化 core/tool_registry.py——四种 env-gate 风格收敛为一张表
架构审查 P0#3:build_agent 内 ~220 行注册代码,同一个「有 key/开关才注册」 意图混用四种写法(inline getenv / *_configured() / Config.load() 返 None / caps 开关),范式靠注释口头传承。 - 新增 core/tool_registry.py:注册表 = (组名, gate, factory) 列表。gate 统一 零参 bool(§7.5 #7 "secret-bearing 工具仅 env 存在才注册"由此获得代码强制); factory 内做 variant 选择(seedance/vision 取 yaml 段),选不出返 [] 自然不挂; 新增工具 = 表里加一行 - ToolContext 承载 build_agent 已解析的上下文(路径/身份/媒体配置),注册层 不重复读 env/yaml - agent_builder.py 892→649 行:注册块换成一次 build_tools 调用,26 个工具类 import 随之迁走 验证:292 测试全过;真实配置冒烟 32 个工具逐名符合预期,scheduled_run 门控(少 4 个 schedule_*)生效。 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
parent
7354578aaa
commit
1197d73432
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@ -40,37 +40,8 @@ from core.sinks import ConsoleEventSink
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from core.skills import SkillRegistry
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from core.storage import check_no_subtask
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from core.task import TaskState
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from tools.fs import EditTool, GlobTool, GrepTool, ReadTool, WriteTool
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from tools.documents import DocumentDownloadTool, DocumentListKbTool, DocumentSearchTool
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from tools.materials_project import (
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MaterialsProjectGetEntriesTool,
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MaterialsProjectGetStructureTool,
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MaterialsProjectSearchSummaryTool,
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)
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from tools.look_at_image import LookAtImageTool
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from tools.read_document import ReadDocumentTool
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from tools.check_process import CheckProcessTool
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from tools.run_python import RunPythonTool
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from tools.seedance import SeedanceTool
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from tools.gpt_image import GptImageTool
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from tools.seedream import SeedreamTool
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from tools.shell import ShellTool
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from tools.skill_authoring import ForkSkillTool, SaveSkillTool
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from tools.skill_tool import LoadSkillTool
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from tools.task_progress import TaskProgressTool
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from tools.ask_user import AskUserTool
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from tools.web_fetch import WebFetchTool
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from tools.web_search import WebSearchTool
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from tools.schedule import (
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ScheduleCancelTool, ScheduleCreateTool, ScheduleListTool, ScheduleUpdateTool,
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)
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from tools.send_email import SendEmailTool, smtp_configured
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from tools.transcribe_audio import TranscribeAudioTool
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from tools.wechat_bot import WechatPushTool, wechat_push_available
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from core.ark_client import ArkConfig
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from core.asr_lfasr import is_configured as lfasr_configured
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from core.bocha_client import BochaConfig
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from core.tool_registry import ToolContext, build_tools
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# 媒体工具指引:仅当本 run 真的挂了对应媒体工具才追加进 system prompt —— 没 key 的
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@ -592,228 +563,14 @@ def build_agent(
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# 同时让 web SPA artifact chip 抽取稳定锚定 <wd>/ 前缀)
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ur_path = user_root(workspace_dir, uid)
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tools = {}
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tp = TaskProgressTool(base_dir=tool_base, user_root=ur_path)
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tools[tp.name] = tp
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au = AskUserTool(base_dir=tool_base, user_root=ur_path)
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tools[au.name] = au
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for cls in (ReadTool, WriteTool, EditTool, GlobTool, GrepTool):
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t = cls(base_dir=tool_base, user_root=ur_path)
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tools[t.name] = t
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# shell/run_python 带 task_id:background=true 的 bg proc 状态锚定
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# `<user_root>/.zcbot_procs/<task_id>/`(DESIGN §8.12)。check_process 是它们的
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# 配套查询/终止工具,host in-process(docker 模式下状态文件也在宿主侧)。
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sh = ShellTool(base_dir=tool_base, user_root=ur_path, task_id=task_id)
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tools[sh.name] = sh
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cp = CheckProcessTool(task_id=task_id, base_dir=tool_base, user_root=ur_path)
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tools[cp.name] = cp
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# web_fetch 无需 API key,始终可用
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wf = WebFetchTool(base_dir=tool_base, user_root=ur_path)
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tools[wf.name] = wf
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# Secret-bearing domain tools stay host-side. Never expose DOCUMENT_SEARCH_API_KEY
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# / MP_API_KEY to run_python or the sandbox; only register typed tools when the
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# corresponding host env exists.
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if os.getenv("DOCUMENT_SEARCH_API_KEY", "").strip():
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for t in (
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DocumentListKbTool(base_dir=tool_base, user_root=ur_path),
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DocumentSearchTool(base_dir=tool_base, user_root=ur_path),
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DocumentDownloadTool(
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working_dir=working_dir_path,
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base_dir=tool_base,
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user_root=ur_path,
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),
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):
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tools[t.name] = t
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if os.getenv("MP_API_KEY", "").strip():
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for t in (
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MaterialsProjectSearchSummaryTool(
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working_dir=working_dir_path,
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base_dir=tool_base,
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user_root=ur_path,
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),
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MaterialsProjectGetStructureTool(
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working_dir=working_dir_path,
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base_dir=tool_base,
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user_root=ur_path,
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),
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MaterialsProjectGetEntriesTool(
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working_dir=working_dir_path,
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base_dir=tool_base,
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user_root=ur_path,
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),
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):
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tools[t.name] = t
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if skills.skills:
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# LoadSkillTool 返回头里的 dir 由 registry 按 skill.source 给容器内路径
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# (内置 → /sandbox/skills,用户 → /workspace/.skills);host backend → host 绝对路径。
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ls = LoadSkillTool(registry=skills, base_dir=tool_base, user_root=ur_path)
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tools[ls.name] = ls
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# 用户 skill 创作工具:恒挂(每个用户都能造自己的 skill)。host-side 直接写
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# user_root/.skills —— 不走沙箱 fs(其 base_dir 锚 cwd / 容器 wd,够不到 .skills)。
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user_skills_dir = ur_path / ".skills"
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for t in (
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SaveSkillTool(user_skills_dir, skills, base_dir=tool_base, user_root=ur_path),
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ForkSkillTool(user_skills_dir, skills, base_dir=tool_base, user_root=ur_path),
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):
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tools[t.name] = t
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# 定时任务管理(DESIGN §8.5):增删查三件套。**定时 run 内不挂**(防任务造任务,
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# 自我繁殖);仅交互对话里能建/管 job。user_id 由 ctor 注入,不信模型传的 id。
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if not scheduled_run:
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for t in (
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ScheduleCreateTool(uid, base_dir=tool_base, user_root=ur_path),
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ScheduleListTool(uid, base_dir=tool_base, user_root=ur_path),
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ScheduleUpdateTool(uid, base_dir=tool_base, user_root=ur_path),
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ScheduleCancelTool(uid, base_dir=tool_base, user_root=ur_path),
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):
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tools[t.name] = t
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# 发邮件(§8.5 投递):仅当 SMTP_* env 齐了才挂(沿用"有 key 才注册",没配的
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# 部署里 agent 看不到一个永远报错的工具)。定时与交互 run 都可用。
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# base_dir 用 working_dir_path(该 task 的**宿主**工作目录绝对路径),不是 tool_base(cwd)。
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# send_email 在宿主进程读附件文件,docker 下 agent 给的相对路径相对容器 workdir=task_dir,
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# 翻回宿主即 working_dir_path;tool 内 _resolve_user_file 再处理 /workspace 容器绝对路径。
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if smtp_configured():
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se = SendEmailTool(base_dir=working_dir_path, user_root=ur_path)
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tools[se.name] = se
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# 微信主动推送(§8.7 渠道抽象):仅当微信渠道开关在才挂(沿用"有开关才注册")。
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# 交互与定时 run 都可用(定时简报可主动推回用户微信,24h 窗口内)。user_id ctor 注入。
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# base_dir 同 send_email:用 working_dir_path(宿主 task 目录),wechat_push 在宿主进程
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# 读待发文件,需把 agent 给的相对/容器路径翻回宿主(详 _resolve_user_file)。
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if wechat_push_available():
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wp = WechatPushTool(uid, base_dir=working_dir_path, user_root=ur_path, task_id=task_id)
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tools[wp.name] = wp
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if caps.enable_run_python:
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rp = RunPythonTool(base_dir=tool_base, user_root=ur_path, task_id=task_id)
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tools[rp.name] = rp
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# 每账号每日配额(yaml `quotas` 段,跨 task 跨 variant 全口径合计;
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# 0 / 缺失 = 不限)。tool 起手 check_daily_quota,超额返 [Error] 不调远端。
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quotas = cfg.get("quotas") or {}
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images_per_day = int(quotas.get("images_per_day", 0))
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videos_per_day = int(quotas.get("videos_per_day", 0))
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# 图像生成 tool:跨 provider 二选一(选择已在函数上半部 _choose_image_variant 定好,
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# 与 system prompt 媒体段同源)。没任何 provider key → 不挂,用户无感知。
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# 本次 run 锁定该 variant,run 内多次 tool call 全用同一个;下一条消息可重选。
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if img_cfg is not None:
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if img_provider == "doubao":
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image_tool: Any = SeedreamTool(
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ark_cfg=img_provider_cfg,
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image_variant_cfg=img_cfg,
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variant_key=img_key,
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working_dir=working_dir_path,
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task_id=task_id,
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user_id=uid,
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base_dir=tool_base,
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user_root=ur_path,
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daily_limit=images_per_day,
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)
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else: # unifyllm
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image_tool = GptImageTool(
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gw_cfg=img_provider_cfg,
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image_variant_cfg=img_cfg,
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variant_key=img_key,
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working_dir=working_dir_path,
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task_id=task_id,
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user_id=uid,
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base_dir=tool_base,
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user_root=ur_path,
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daily_limit=images_per_day,
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)
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tools[image_tool.name] = image_tool
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# 视频 / 看图 tool 仍豆包独有:仅当 ARK_API_KEY 设了才挂。
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if ark_cfg is not None:
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# 视频 variant 选择(同 image_variant 范式):video_variant 由 caller 传,
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# 空 → 取 yaml 第一个 video variant。本 run 的 SeedanceTool 锁定该 variant。
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# cancel_check 是 web 入口构造的 `lambda: broker.is_cancelled(task_id)` —— 轮询
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# 期间(典型 30-90s)拿来响应用户停止按钮;远端 cgt 任务无 cancel API,best-effort 不动远端
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video_cfg = (ark_cfg.raw.get("video") or {})
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v_chosen_key, v_chosen_cfg = "", None
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if video_variant:
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v = video_cfg.get(video_variant)
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if isinstance(v, dict):
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v_chosen_key, v_chosen_cfg = video_variant, v
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if v_chosen_cfg is None:
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for variant_key, variant_cfg in video_cfg.items():
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if isinstance(variant_cfg, dict):
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v_chosen_key, v_chosen_cfg = variant_key, variant_cfg
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break
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if v_chosen_cfg is not None:
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seedance_tool = SeedanceTool(
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ark_cfg=ark_cfg,
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video_variant_cfg=v_chosen_cfg,
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variant_key=v_chosen_key,
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working_dir=working_dir_path,
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task_id=task_id,
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user_id=uid,
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base_dir=tool_base,
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user_root=ur_path,
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cancel_check=cancel_check,
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daily_limit=videos_per_day,
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)
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tools[seedance_tool.name] = seedance_tool
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# 图像理解 tool(look_at_image / 豆包 Seed 2.0 Lite vision):仅当 yaml 有 vision 段才挂。
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# 无 variant 选择维度(读图不分档,固定第一个 variant),与 image/video 的"用户可切档"不同。
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vision_cfg = (ark_cfg.raw.get("vision") or {})
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vis_key, vis_variant = "", None
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for variant_key, variant_cfg in vision_cfg.items():
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if isinstance(variant_cfg, dict):
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vis_key, vis_variant = variant_key, variant_cfg
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break
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if vis_variant is not None:
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look_tool = LookAtImageTool(
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ark_cfg=ark_cfg,
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vision_variant_cfg=vis_variant,
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variant_key=vis_key,
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working_dir=working_dir_path,
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task_id=task_id,
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user_id=uid,
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base_dir=tool_base,
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user_root=ur_path,
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)
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tools[look_tool.name] = look_tool
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# 文档理解(read_document):同 variant 同 key,扫描件 PDF OCR(markitdown 死路补位)
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readdoc_tool = ReadDocumentTool(
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ark_cfg=ark_cfg,
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vision_variant_cfg=vis_variant,
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variant_key=vis_key,
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working_dir=working_dir_path,
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task_id=task_id,
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user_id=uid,
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base_dir=tool_base,
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user_root=ur_path,
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)
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tools[readdoc_tool.name] = readdoc_tool
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# 录音文件转写(transcribe_audio / 讯飞 LFASR):仅当 XFYUN_APPID +
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# XFYUN_LFASR_SECRET_KEY 齐了才挂(沿用"有 key 才注册")。与 IAT 语音听写是两个
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# 服务、两套 key。cancel_check 同 seedance:轮询期(短则十几秒长则几分钟)响应停止按钮。
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if lfasr_configured():
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ta = TranscribeAudioTool(
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working_dir=working_dir_path,
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base_dir=tool_base,
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user_root=ur_path,
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cancel_check=cancel_check,
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)
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tools[ta.name] = ta
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# 博查联网搜索:仅当 BOCHA_API_KEY 设了才挂
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bocha_cfg = BochaConfig.load()
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if bocha_cfg is not None:
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ws = WebSearchTool(cfg=bocha_cfg)
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tools[ws.name] = ws
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tools = build_tools(ToolContext(
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tool_base=tool_base, ur_path=ur_path, working_dir_path=working_dir_path,
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task_id=task_id, uid=uid, cfg=cfg, caps=caps, skills=skills,
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cancel_check=cancel_check, scheduled_run=scheduled_run,
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ark_cfg=ark_cfg, img_provider=img_provider, img_key=img_key,
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img_cfg=img_cfg, img_provider_cfg=img_provider_cfg,
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video_variant=video_variant,
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))
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sink = ConsoleEventSink(console) if console else None
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# §7.5 #5/#6 Executor 抽象:env `ZCBOT_SANDBOX_BACKEND=host|docker` 切 backend。
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@ -0,0 +1,242 @@
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"""声明式工具注册表(§3.4 / §7.5 #7;从 agent_builder.build_agent 析出,2026-07-23)。
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背景:此前 build_agent 里 ~220 行工具注册,同一个「有 key/开关才注册」意图用了
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四种写法(inline getenv / `*_configured()` 助手 / `Config.load()` 返 None / caps
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开关),约定靠注释里的"沿用范式"口头传承。本模块把它收敛为一张表:
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(组名, gate, factory)
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- gate:零参 -> bool。env key / 渠道开关 / 能力开关全走这一种形态,False 则该组
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工具对本 run 不存在(agent 看不到一个永远报错的工具 —— §7.5 #7 红线的代码强制)。
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- factory:零参 -> list[Tool]。变体选择(如 seedance/vision 取 yaml 第一个 variant)
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在 factory 里做,选不出返 [] 即自然不挂。
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新增工具 = 表里加一行。ToolContext 装 build_agent 已解析好的上下文(路径 / 身份 /
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媒体配置),factory 从 ctx 取参 —— 不在本模块重复读 env / yaml。
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"""
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from __future__ import annotations
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import os
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any, Callable, Optional
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from uuid import UUID
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from tools.ask_user import AskUserTool
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from tools.check_process import CheckProcessTool
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from tools.documents import DocumentDownloadTool, DocumentListKbTool, DocumentSearchTool
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from tools.fs import EditTool, GlobTool, GrepTool, ReadTool, WriteTool
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from tools.gpt_image import GptImageTool
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from tools.look_at_image import LookAtImageTool
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from tools.materials_project import (
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MaterialsProjectGetEntriesTool,
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MaterialsProjectGetStructureTool,
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MaterialsProjectSearchSummaryTool,
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)
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from tools.read_document import ReadDocumentTool
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from tools.run_python import RunPythonTool
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from tools.schedule import (
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ScheduleCancelTool, ScheduleCreateTool, ScheduleListTool, ScheduleUpdateTool,
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)
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from tools.seedance import SeedanceTool
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from tools.seedream import SeedreamTool
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from tools.send_email import SendEmailTool, smtp_configured
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from tools.shell import ShellTool
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from tools.skill_authoring import ForkSkillTool, SaveSkillTool
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from tools.skill_tool import LoadSkillTool
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from tools.task_progress import TaskProgressTool
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from tools.transcribe_audio import TranscribeAudioTool
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from tools.web_fetch import WebFetchTool
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from tools.web_search import WebSearchTool
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from tools.wechat_bot import WechatPushTool, wechat_push_available
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|
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from core.asr_lfasr import is_configured as lfasr_configured
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from core.bocha_client import BochaConfig
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@dataclass
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class ToolContext:
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"""build_agent 解析好的、工具装配需要的全部上下文。"""
|
||||
tool_base: Path # fs/shell 类工具的 base_dir(cwd / task 目录)
|
||||
ur_path: Path # user_root(输出渲染相对路径 + host-side 落点)
|
||||
working_dir_path: Path # 该 task 的宿主工作目录绝对路径
|
||||
task_id: str
|
||||
uid: UUID
|
||||
cfg: dict # config/agent.yaml(quotas 段)
|
||||
caps: Any # ModelCapabilities(enable_run_python)
|
||||
skills: Any # SkillRegistry
|
||||
cancel_check: Optional[Callable[[], bool]]
|
||||
scheduled_run: bool
|
||||
# 媒体(上游已 load 一次,避免重复读 yaml):
|
||||
ark_cfg: Any # ArkConfig | None(豆包;None=ARK_API_KEY 缺)
|
||||
img_provider: str # "doubao" / "unifyllm" / ""
|
||||
img_key: str # 选中的 image variant key
|
||||
img_cfg: Optional[dict] # 选中的 image variant 配置(None=不挂图像工具)
|
||||
img_provider_cfg: Any # 该 provider 的 ArkConfig
|
||||
video_variant: str # caller 指定的 video variant key(空=yaml 第一个)
|
||||
|
||||
|
||||
def _env_set(name: str) -> Callable[[], bool]:
|
||||
return lambda: bool(os.getenv(name, "").strip())
|
||||
|
||||
|
||||
def _pick_variant(section: dict, preferred: str = "") -> tuple[str, Optional[dict]]:
|
||||
"""从 yaml 段选 variant:preferred 命中优先,否则第一个 dict 条目;无 → ("", None)。"""
|
||||
if preferred:
|
||||
v = section.get(preferred)
|
||||
if isinstance(v, dict):
|
||||
return preferred, v
|
||||
for key, v in section.items():
|
||||
if isinstance(v, dict):
|
||||
return key, v
|
||||
return "", None
|
||||
|
||||
|
||||
def build_tools(ctx: ToolContext) -> dict[str, Any]:
|
||||
"""按注册表装配本 run 的工具集。gate=False / factory 返 [] 的组自然不挂。"""
|
||||
base = dict(base_dir=ctx.tool_base, user_root=ctx.ur_path)
|
||||
wd_base = dict(base_dir=ctx.working_dir_path, user_root=ctx.ur_path)
|
||||
quotas = ctx.cfg.get("quotas") or {}
|
||||
images_per_day = int(quotas.get("images_per_day", 0))
|
||||
videos_per_day = int(quotas.get("videos_per_day", 0))
|
||||
|
||||
def _core() -> list:
|
||||
# shell/run_python 带 task_id:background=true 的 bg proc 状态锚定
|
||||
# `<user_root>/.zcbot_procs/<task_id>/`(DESIGN §8.12)。check_process 是它们的
|
||||
# 配套查询/终止工具,host in-process(docker 模式下状态文件也在宿主侧)。
|
||||
# web_fetch 无需 API key,始终可用。
|
||||
return [
|
||||
TaskProgressTool(**base),
|
||||
AskUserTool(**base),
|
||||
ReadTool(**base), WriteTool(**base), EditTool(**base),
|
||||
GlobTool(**base), GrepTool(**base),
|
||||
ShellTool(task_id=ctx.task_id, **base),
|
||||
CheckProcessTool(task_id=ctx.task_id, **base),
|
||||
WebFetchTool(**base),
|
||||
]
|
||||
|
||||
def _document_search() -> list:
|
||||
return [
|
||||
DocumentListKbTool(**base),
|
||||
DocumentSearchTool(**base),
|
||||
DocumentDownloadTool(working_dir=ctx.working_dir_path, **base),
|
||||
]
|
||||
|
||||
def _materials_project() -> list:
|
||||
return [
|
||||
MaterialsProjectSearchSummaryTool(working_dir=ctx.working_dir_path, **base),
|
||||
MaterialsProjectGetStructureTool(working_dir=ctx.working_dir_path, **base),
|
||||
MaterialsProjectGetEntriesTool(working_dir=ctx.working_dir_path, **base),
|
||||
]
|
||||
|
||||
def _load_skill() -> list:
|
||||
# LoadSkillTool 返回头里的 dir 由 registry 按 skill.source 给容器内路径
|
||||
# (内置 → /sandbox/skills,用户 → /workspace/.skills);host backend → host 绝对路径。
|
||||
return [LoadSkillTool(registry=ctx.skills, **base)]
|
||||
|
||||
def _skill_authoring() -> list:
|
||||
# 用户 skill 创作:恒挂(每个用户都能造自己的 skill)。host-side 直接写
|
||||
# user_root/.skills —— 不走沙箱 fs(其 base_dir 锚 cwd / 容器 wd,够不到 .skills)。
|
||||
d = ctx.ur_path / ".skills"
|
||||
return [
|
||||
SaveSkillTool(d, ctx.skills, **base),
|
||||
ForkSkillTool(d, ctx.skills, **base),
|
||||
]
|
||||
|
||||
def _schedules() -> list:
|
||||
# 定时任务管理(§8.5)增删查。user_id 由 ctor 注入,不信模型传的 id。
|
||||
return [
|
||||
ScheduleCreateTool(ctx.uid, **base),
|
||||
ScheduleListTool(ctx.uid, **base),
|
||||
ScheduleUpdateTool(ctx.uid, **base),
|
||||
ScheduleCancelTool(ctx.uid, **base),
|
||||
]
|
||||
|
||||
def _send_email() -> list:
|
||||
# base_dir 用 working_dir_path(宿主 task 目录):send_email 在宿主进程读附件,
|
||||
# docker 下 agent 给的相对路径相对容器 workdir=task_dir,翻回宿主即 working_dir_path;
|
||||
# tool 内 _resolve_user_file 再处理 /workspace 容器绝对路径。
|
||||
return [SendEmailTool(**wd_base)]
|
||||
|
||||
def _wechat_push() -> list:
|
||||
# base_dir 同 send_email(宿主进程读待发文件)。交互与定时 run 都可用
|
||||
# (定时简报可主动推回用户微信,24h 窗口内)。
|
||||
return [WechatPushTool(ctx.uid, task_id=ctx.task_id, **wd_base)]
|
||||
|
||||
def _run_python() -> list:
|
||||
return [RunPythonTool(task_id=ctx.task_id, **base)]
|
||||
|
||||
def _image() -> list:
|
||||
# 图像生成跨 provider 二选一(选择在 build_agent 上半部定好,与 system prompt
|
||||
# 媒体段同源);本次 run 锁定该 variant,下一条消息可重选。
|
||||
if ctx.img_cfg is None:
|
||||
return []
|
||||
cls_kwargs = dict(
|
||||
image_variant_cfg=ctx.img_cfg, variant_key=ctx.img_key,
|
||||
working_dir=ctx.working_dir_path, task_id=ctx.task_id, user_id=ctx.uid,
|
||||
daily_limit=images_per_day, **base,
|
||||
)
|
||||
if ctx.img_provider == "doubao":
|
||||
return [SeedreamTool(ark_cfg=ctx.img_provider_cfg, **cls_kwargs)]
|
||||
return [GptImageTool(gw_cfg=ctx.img_provider_cfg, **cls_kwargs)]
|
||||
|
||||
def _video() -> list:
|
||||
# 视频仍豆包独有。cancel_check:轮询期(典型 30-90s)响应用户停止按钮;
|
||||
# 远端 cgt 任务无 cancel API,best-effort 不动远端。
|
||||
key, v = _pick_variant(ctx.ark_cfg.raw.get("video") or {}, ctx.video_variant)
|
||||
if v is None:
|
||||
return []
|
||||
return [SeedanceTool(
|
||||
ark_cfg=ctx.ark_cfg, video_variant_cfg=v, variant_key=key,
|
||||
working_dir=ctx.working_dir_path, task_id=ctx.task_id, user_id=ctx.uid,
|
||||
cancel_check=ctx.cancel_check, daily_limit=videos_per_day, **base,
|
||||
)]
|
||||
|
||||
def _vision() -> list:
|
||||
# 看图 + 文档理解共用 vision variant(读图不分档,固定第一个)。
|
||||
key, v = _pick_variant(ctx.ark_cfg.raw.get("vision") or {})
|
||||
if v is None:
|
||||
return []
|
||||
kw = dict(
|
||||
ark_cfg=ctx.ark_cfg, vision_variant_cfg=v, variant_key=key,
|
||||
working_dir=ctx.working_dir_path, task_id=ctx.task_id, user_id=ctx.uid,
|
||||
**base,
|
||||
)
|
||||
return [LookAtImageTool(**kw), ReadDocumentTool(**kw)]
|
||||
|
||||
def _transcribe() -> list:
|
||||
# 录音文件转写(讯飞 LFASR,与 IAT 听写是两个服务两套 key)。
|
||||
return [TranscribeAudioTool(
|
||||
working_dir=ctx.working_dir_path, cancel_check=ctx.cancel_check, **base,
|
||||
)]
|
||||
|
||||
def _web_search() -> list:
|
||||
return [WebSearchTool(cfg=BochaConfig.load())]
|
||||
|
||||
# ── 注册表:(组名, gate, factory)。gate 判定统一零参 bool;新工具在此加行 ──
|
||||
registry: list[tuple[str, Callable[[], bool], Callable[[], list]]] = [
|
||||
("core", lambda: True, _core),
|
||||
# Secret-bearing 域工具一律 host-side、仅对应 env 存在才注册(§7.5 #7):
|
||||
# key 绝不进 run_python / 沙箱。
|
||||
("document_search", _env_set("DOCUMENT_SEARCH_API_KEY"), _document_search),
|
||||
("materials_project", _env_set("MP_API_KEY"), _materials_project),
|
||||
("load_skill", lambda: bool(ctx.skills.skills), _load_skill),
|
||||
("skill_authoring", lambda: True, _skill_authoring),
|
||||
# 定时 run 内不挂 schedule_*(防任务造任务自我繁殖);仅交互对话可建/管 job。
|
||||
("schedules", lambda: not ctx.scheduled_run, _schedules),
|
||||
("send_email", smtp_configured, _send_email),
|
||||
("wechat_push", wechat_push_available, _wechat_push),
|
||||
("run_python", lambda: ctx.caps.enable_run_python, _run_python),
|
||||
("image", lambda: ctx.img_cfg is not None, _image),
|
||||
("video", lambda: ctx.ark_cfg is not None, _video),
|
||||
("vision", lambda: ctx.ark_cfg is not None, _vision),
|
||||
("transcribe_audio", lfasr_configured, _transcribe),
|
||||
("web_search", lambda: BochaConfig.load() is not None, _web_search),
|
||||
]
|
||||
|
||||
tools: dict[str, Any] = {}
|
||||
for _name, gate, factory in registry:
|
||||
if gate():
|
||||
for t in factory():
|
||||
tools[t.name] = t
|
||||
return tools
|
||||
Loading…
Reference in New Issue