JOJO
4fcd0ccc4d
- prompt改造：子智能体注入AGENTS.md/执行环境/工作区信息/skills/项目记忆 - 工具增加：read_skill/recall_project_memory/todo_create/todo_update_task/save_webpage - 上下文压缩：深度压缩机制，记录current_context_tokens，默认150k阈值可配置 - 模型升级：sub_agent_models.json支持thinkmode_status/extra_parameter，与主智能体对齐 - 角色管理三层结构：源码树预设multi_agent_roles/ + 运行态host/web预设 + web按用户隔离 - 启动同步：initialize_system调用sync_preset_roles同步预设到host和web运行态 - 模式判断：API用session.host_mode，工具用data_dir路径判断，不依赖IS_HOST_MODE - 前端：个人空间新增子智能体管理页(角色CRUD/压缩阈值/模型选择)，复用个人空间样式 - 入口改造：登录页移除多智能体按钮，QuickMenu加模式切换项，运行中对话禁止切换 - 工具调整：多智能体模式create_sub_agent去掉timeout/deliverables_dir参数 - skill禁止：sub-agent-guide在多智能体模式下禁止阅读 - .agents/统一为.astrion/路径修复
261 lines
9.8 KiB
Python
261 lines
9.8 KiB
Python
"""多智能体子智能体动态上下文构建。
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在子智能体创建时，为其系统提示词注入工作区相关信息：
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- 执行环境（宿主机/docker + 沙箱/直接）
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- AGENTS.md 项目规范
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- 工作区信息（项目名称、运行环境、当前时间，不含 file_tree / recent_uploads）
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- .astrion/ 目录结构说明（skills / memory / review / user_upload）
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- 可用 skill 列表
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- 项目记忆索引
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所有信息在子智能体创建那一刻快照写入 system_prompt.txt，后续冻结不更新。
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"""
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from __future__ import annotations
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import platform
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from datetime import datetime
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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try:
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from config import (
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PROMPTS_DIR,
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WORKSPACE_SKILLS_DIRNAME,
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WORKSPACE_MEMORY_DIRNAME,
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WORKSPACE_REVIEW_DIRNAME,
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TERMINAL_SANDBOX_MODE,
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)
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from config.paths import IS_HOST_MODE
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except ImportError:
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import sys
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project_root = Path(__file__).resolve().parents[2]
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if str(project_root) not in sys.path:
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sys.path.insert(0, str(project_root))
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from config import (
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PROMPTS_DIR,
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WORKSPACE_SKILLS_DIRNAME,
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WORKSPACE_MEMORY_DIRNAME,
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WORKSPACE_REVIEW_DIRNAME,
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TERMINAL_SANDBOX_MODE,
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)
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from config.paths import IS_HOST_MODE
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def _load_agents_md(workspace_path: str) -> Optional[str]:
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"""加载工作区根目录的 AGENTS.md 文件内容。"""
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try:
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project_path = Path(workspace_path)
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if not project_path.exists():
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return None
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agents_md_files = list(project_path.rglob("AGENTS.md"))
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if not agents_md_files:
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return None
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latest_file = max(agents_md_files, key=lambda p: p.stat().st_mtime)
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content = latest_file.read_text(encoding="utf-8")
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return content.strip() if content else None
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except Exception:
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return None
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def _build_execution_env_section(workspace_path: str, *, sandbox_mode: str = "") -> str:
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"""构建执行环境信息段（精简版，只含宿主机/docker + 沙箱/直接）。"""
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mode = (sandbox_mode or TERMINAL_SANDBOX_MODE or "").lower()
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if IS_HOST_MODE:
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runtime_label = "宿主机模式"
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# host 模式下区分 sandbox / direct
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if mode == "direct":
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exec_label = "直接执行（完全访问权限）"
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rules = (
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"- 当前为宿主机直接执行模式\n"
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"- 仅在必须时执行高权限操作，保持最小化命令范围\n"
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"- 涉及删除/覆盖/系统级变更前，先说明风险再执行"
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)
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else:
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exec_label = "沙箱执行"
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rules = (
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"- 所有命令默认在系统 OS 沙箱中执行\n"
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"- 若操作受系统权限限制：先提供安全替代方案；若仍无法满足，说明需要更高权限\n"
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"- 不要通过复杂绕过手段规避沙箱限制"
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)
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else:
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runtime_label = "Docker 容器模式"
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exec_label = "容器内执行"
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rules = (
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"- 所有命令在 Docker 容器内执行\n"
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"- 工作区挂载在容器内 /workspace 路径下\n"
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"- 网络可能受限，仅允许 localhost"
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)
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return (
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f"## 执行环境\n\n"
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f"- 运行环境：{runtime_label}\n"
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f"- 执行方式：{exec_label}\n\n"
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f"### 当前规则\n{rules}\n"
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)
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def _build_workspace_section(workspace_path: str) -> str:
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"""构建工作区信息段（精简版，不含 file_tree 和 recent_uploads）。"""
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project_path = Path(workspace_path)
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project_name = project_path.name or "未命名项目"
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system_info = f"{platform.system()} {platform.release()}"
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current_time = datetime.now().strftime("%Y年%m月%d日 %H点（24小时制）")
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if IS_HOST_MODE:
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resource_limit = "宿主机模式无限制"
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else:
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resource_limit = "容器模式，受 Docker 资源限制"
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return (
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f"## 工作区信息\n\n"
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f"- 项目名称：{project_name}\n"
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f"- 运行环境：{system_info}\n"
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f"- 资源限制：{resource_limit}\n"
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f"- 当前时间：{current_time}\n"
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)
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def _build_astrion_dir_section(workspace_path: str) -> str:
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"""构建 .astrion/ 目录结构说明段。"""
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return (
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f"## 工作区数据目录（.astrion/）\n\n"
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f"工作区内的 `.astrion/` 目录存储以下内容：\n"
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f"- `{WORKSPACE_SKILLS_DIRNAME}/`：可用技能（skill）目录，每个 skill 含 SKILL.md 说明\n"
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f"- `{WORKSPACE_MEMORY_DIRNAME}/`：项目记忆，以 Markdown 文件形式存放项目约定/决策/调试坑\n"
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f"- `{WORKSPACE_REVIEW_DIRNAME}/`：对话回顾文件\n"
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f"- `user_upload/`：用户上传的文件\n\n"
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f"用户上传的文件位于 `.astrion/user_upload/` 目录下。"
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f"项目记忆以文件形式存放在 `{WORKSPACE_MEMORY_DIRNAME}/` 下。"
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f"技能（skill）存放在 `{WORKSPACE_SKILLS_DIRNAME}/` 下。\n"
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)
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def _build_agents_md_section(workspace_path: str) -> str:
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"""构建 AGENTS.md 项目规范段。"""
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content = _load_agents_md(workspace_path)
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if not content:
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return ""
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return (
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f"## AGENTS.md 项目规范\n\n"
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f"> 以下是工作区根目录的 AGENTS.md 文件内容，请在回答时参考这些项目规范：\n\n"
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f"{content}\n\n"
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f"---\n"
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f"注意：以上规范来自工作区根目录的 AGENTS.md 文件，若与未来代码冲突，以实际代码为准。\n"
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)
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def _build_skills_section(workspace_path: str, data_dir: str = "") -> str:
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"""构建可用 skill 列表段。"""
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try:
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from modules.skills_manager import (
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get_skills_catalog,
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build_skills_list,
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infer_private_skills_dir,
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)
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private_dir = infer_private_skills_dir(data_dir) if data_dir else None
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catalog = get_skills_catalog(private_dir=private_dir)
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# 子智能体不区分 enabled/disabled，列出全部可用 skill
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skills_list = build_skills_list(catalog, enabled=None)
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if not skills_list:
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return ""
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return (
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f"## 可用 AgentSkill\n\n"
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f"agent skills 系统已启用，以下是可用的 skills（含简要说明）：\n\n"
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f"{skills_list}\n\n"
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f"使用技能时，优先用 read_skill 通过技能名读取 SKILL.md；"
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f"需要阅读 skill 目录中的其他文件时再使用 read_file\n"
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)
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except Exception:
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return ""
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def _build_project_memory_section(workspace_path: str) -> str:
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"""构建项目记忆索引段（只列索引，不展开内容）。"""
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try:
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memory_dir = Path(workspace_path) / WORKSPACE_MEMORY_DIRNAME
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if not memory_dir.exists() or not memory_dir.is_dir():
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return ""
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entries: List[str] = []
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for md_file in sorted(memory_dir.glob("*.md")):
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try:
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text = md_file.read_text(encoding="utf-8")
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name = None
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description = None
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if text.startswith("---"):
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end = text.find("---", 3)
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if end > 0:
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frontmatter = text[3:end]
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for line in frontmatter.strip().split("\n"):
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ls = line.strip()
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if ls.startswith("name:"):
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name = ls.split(":", 1)[1].strip()
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elif ls.startswith("description:"):
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description = ls.split(":", 1)[1].strip()
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file_name = md_file.name
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display_name = name or md_file.stem
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desc = description or ""
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if desc:
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entries.append(f".astrion/memory/{file_name}：{desc}")
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else:
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entries.append(f".astrion/memory/{file_name}：当需要{display_name}时，应该索引本记忆")
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except Exception:
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pass
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if not entries:
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return ""
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return (
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f"## 项目记忆\n\n"
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f"项目记忆以文件形式存放在 `.astrion/memory/` 下。\n"
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f"开始涉及项目约定、历史决策或已知问题的任务前，先检查项目记忆索引，"
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f"如有相关记忆则用 recall_project_memory 读取。\n\n"
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f"### 项目记忆索引\n\n"
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+ "\n".join(entries)
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+ "\n"
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)
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except Exception:
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return ""
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def build_sub_agent_dynamic_context(
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workspace_path: str,
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*,
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data_dir: str = "",
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sandbox_mode: str = "",
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) -> str:
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"""构建子智能体的动态上下文信息（拼接到 system prompt 末尾）。
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所有信息在子智能体创建那一刻快照，后续冻结不更新。
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Args:
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workspace_path: 工作区路径
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data_dir: 数据目录路径（用于推断 private skills 目录）
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sandbox_mode: 沙箱模式（sandbox/direct/host/docker）
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"""
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sections: List[str] = []
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# 1. 执行环境
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sections.append(_build_execution_env_section(workspace_path, sandbox_mode=sandbox_mode))
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# 2. 工作区信息（精简版）
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sections.append(_build_workspace_section(workspace_path))
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# 3. .astrion/ 目录说明
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sections.append(_build_astrion_dir_section(workspace_path))
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# 4. AGENTS.md
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agents_md = _build_agents_md_section(workspace_path)
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if agents_md:
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sections.append(agents_md)
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# 5. 可用 skill
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skills = _build_skills_section(workspace_path, data_dir=data_dir)
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if skills:
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sections.append(skills)
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# 6. 项目记忆索引
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memory = _build_project_memory_section(workspace_path)
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if memory:
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sections.append(memory)
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return "\n".join(sections)
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