427 lines
18 KiB
Python
427 lines
18 KiB
Python
"""多智能体模式 server 路由。
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- `/multiagent/new` 返回主 SPA 入口（与 `/new` 一样返回 static/index.html）
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前端通过路径识别多智能体模式后，在创建对话时写入 metadata.multi_agent_mode=true
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- `/api/multiagent/conversations` POST 创建多智能体对话（写入 metadata）
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- `/api/multiagent/roles` GET 列出可用角色
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- `/api/multiagent/roles` POST 创建自定义角色
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"""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any, Dict, List
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from flask import Blueprint, current_app, jsonify, request, session
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from server.auth_helpers import api_login_required, login_required, get_current_username
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from server.context import get_user_resources
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from modules.multi_agent.role_store import (
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RoleConfig,
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list_roles,
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load_preset_role,
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save_custom_role,
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delete_custom_role,
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is_preset_role,
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sync_preset_roles,
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)
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from config.paths import CUSTOM_ROLES_DIR, WEB_PRESET_ROLES_DIR
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multi_agent_bp = Blueprint("multi_agent", __name__)
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@multi_agent_bp.route("/multiagent/new")
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@login_required
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def multi_agent_new_page():
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"""多智能体模式入口，返回与 /new 相同的 SPA index.html。"""
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return current_app.send_static_file("index.html")
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@multi_agent_bp.route("/multiagent/<path:conversation_id>")
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@login_required
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def multi_agent_conversation_page(conversation_id: str):
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"""多智能体模式 指定会话 URL，返回 SPA index.html 让前端路由处理。"""
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return current_app.send_static_file("index.html")
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@multi_agent_bp.route("/api/multiagent/rebuild-index", methods=["POST"])
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@api_login_required
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def rebuild_conversation_index_api():
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"""强制从磁盘重建对话索引，补全 multi_agent_mode 等新字段。"""
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try:
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username = get_current_username()
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if not username:
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return jsonify({"success": False, "error": "未登录"}), 401
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terminal, _ = get_user_resources(username)
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if not terminal:
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return jsonify({"success": False, "error": "工作区未就绪"}), 503
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ctx_manager = getattr(terminal, "context_manager", None)
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if not ctx_manager:
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return jsonify({"success": False, "error": "上下文管理器未初始化"}), 503
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ma_manager = getattr(ctx_manager, "multi_agent_conversation_manager", None)
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if not ma_manager:
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return jsonify({"success": False, "error": "多智能体对话管理器未初始化"}), 503
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rebuilt = ma_manager._rebuild_index_from_files()
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ma_manager._save_index(rebuilt)
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return jsonify({"success": True, "index_size": len(rebuilt)})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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def _get_role_dirs() -> tuple:
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"""根据 session 判断当前登录模式，返回 (runtime_dir, custom_dir)。
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- host 模式：runtime_dir = custom_dir = host/mutiagents/agents
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- web/docker 模式：runtime_dir = web/mutiagents/agents, custom_dir = users/<user>/personal/mutiagents/agents
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"""
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from flask import session as _session
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is_host_session = bool(_session.get('host_mode'))
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if is_host_session:
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return CUSTOM_ROLES_DIR, CUSTOM_ROLES_DIR
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# web 模式
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username = get_current_username()
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if not username:
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return WEB_PRESET_ROLES_DIR, None
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_, workspace = get_user_resources(username)
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if not workspace or not workspace.data_dir:
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return WEB_PRESET_ROLES_DIR, None
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from modules.multi_agent.role_store import infer_custom_roles_dir
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custom = infer_custom_roles_dir(workspace.data_dir)
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return WEB_PRESET_ROLES_DIR, str(custom) if custom else None
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@multi_agent_bp.route("/api/multiagent/roles", methods=["GET"])
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@api_login_required
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def list_roles_api():
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"""列出全部可用角色（预置+用户自定义）。"""
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try:
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runtime_dir, custom_dir = _get_role_dirs()
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roles = list_roles(runtime_dir=runtime_dir, custom_dir=custom_dir)
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return jsonify({
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"success": True,
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"roles": [r.to_dict() for r in roles],
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})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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@multi_agent_bp.route("/api/multiagent/roles", methods=["POST"])
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@api_login_required
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def create_role_api():
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"""创建自定义角色。body: { role_id, name, description?, body_prompt, thinking_mode? }"""
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try:
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data = request.get_json() or {}
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role_id = str(data.get("role_id") or "").strip()
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name = str(data.get("name") or "").strip()
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body_prompt = str(data.get("body_prompt") or "").strip()
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description = str(data.get("description") or "").strip()
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thinking_mode = str(data.get("thinking_mode") or "fast").strip()
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model_key = str(data.get("model_key") or "").strip() or None
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if not role_id or not name or not body_prompt:
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return jsonify({"success": False, "error": "role_id/name/body_prompt 必填"}), 400
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if thinking_mode not in {"fast", "thinking"}:
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thinking_mode = "fast"
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# 不允许覆盖预设角色
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if is_preset_role(role_id):
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return jsonify({"success": False, "error": f"不能覆盖预设角色 {role_id}"}), 409
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# 不允许覆盖已存在的用户自定义角色
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runtime_dir, custom_dir = _get_role_dirs()
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existing = {r.role_id for r in list_roles(runtime_dir=runtime_dir, custom_dir=custom_dir)}
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if role_id in existing:
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return jsonify({"success": False, "error": f"角色 {role_id} 已存在"}), 409
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role = RoleConfig(
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role_id=role_id,
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name=name,
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description=description,
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body_prompt=body_prompt,
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thinking_mode=thinking_mode,
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model_key=model_key,
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is_custom=True,
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)
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saved = save_custom_role(role, custom_dir=custom_dir)
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return jsonify({"success": True, "role_id": role_id, "file": str(saved)})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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@multi_agent_bp.route("/api/multiagent/roles/<role_id>", methods=["PUT"])
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@api_login_required
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def update_role_api(role_id: str):
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"""更新用户自定义角色。不能更新预设角色。"""
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try:
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data = request.get_json() or {}
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runtime_dir, custom_dir = _get_role_dirs()
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# 加载现有角色（先查自定义覆盖，再查预设）
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role = load_preset_role(role_id, runtime_dir=runtime_dir, custom_dir=custom_dir)
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if not role:
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return jsonify({"success": False, "error": f"角色 {role_id} 不存在"}), 404
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# 更新字段
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if "name" in data:
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role.name = str(data["name"]).strip() or role.name
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if "description" in data:
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role.description = str(data["description"] or "").strip()
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if "body_prompt" in data:
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role.body_prompt = str(data["body_prompt"] or "").strip()
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if "thinking_mode" in data:
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tm = str(data["thinking_mode"] or "fast").strip()
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if tm in {"fast", "thinking"}:
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role.thinking_mode = tm
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if "model_key" in data:
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role.model_key = str(data["model_key"] or "").strip() or None
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if "skills" in data:
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role.skills = list(data["skills"] or [])
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role.is_custom = True
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saved = save_custom_role(role, custom_dir=custom_dir)
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return jsonify({"success": True, "role_id": role_id, "file": str(saved)})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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@multi_agent_bp.route("/api/multiagent/roles/<role_id>", methods=["DELETE"])
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@api_login_required
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def delete_role_api(role_id: str):
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"""删除用户自定义角色。不能删除预设角色。"""
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try:
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if is_preset_role(role_id):
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return jsonify({"success": False, "error": f"不能删除预设角色 {role_id}"}), 403
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_, custom_dir = _get_role_dirs()
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deleted = delete_custom_role(role_id, custom_dir=custom_dir)
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if not deleted:
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return jsonify({"success": False, "error": f"角色 {role_id} 不存在或无法删除"}), 404
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return jsonify({"success": True, "role_id": role_id})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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@multi_agent_bp.route("/api/multiagent/settings", methods=["GET"])
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@api_login_required
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def get_multi_agent_settings_api():
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"""获取多智能体模式设置（子智能体压缩阈值等）。"""
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try:
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username = get_current_username()
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if not username:
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return jsonify({"success": False, "error": "未登录"}), 401
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_, workspace = get_user_resources(username)
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if not workspace:
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return jsonify({"success": False, "error": "工作区未就绪"}), 503
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# 从个人化配置中读取子智能体压缩阈值
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from modules.personalization_manager import load_personalization_config
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prefs = load_personalization_config(workspace.data_dir) or {}
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compress_threshold = prefs.get("sub_agent_compress_threshold_tokens", 150000)
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return jsonify({
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"success": True,
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"settings": {
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"sub_agent_compress_threshold_tokens": compress_threshold,
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},
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})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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@multi_agent_bp.route("/api/multiagent/settings", methods=["PUT"])
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@api_login_required
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def update_multi_agent_settings_api():
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"""更新多智能体模式设置。"""
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try:
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username = get_current_username()
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if not username:
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return jsonify({"success": False, "error": "未登录"}), 401
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_, workspace = get_user_resources(username)
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if not workspace:
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return jsonify({"success": False, "error": "工作区未就绪"}), 503
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data = request.get_json() or {}
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settings = data.get("settings") or {}
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# 更新子智能体压缩阈值
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threshold = settings.get("sub_agent_compress_threshold_tokens")
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if threshold is not None:
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threshold = int(threshold)
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if threshold < 10000:
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return jsonify({"success": False, "error": "压缩阈值不能小于 10000"}), 400
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from modules.personalization_manager import load_personalization_config, save_personalization_config
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prefs = load_personalization_config(workspace.data_dir) or {}
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prefs["sub_agent_compress_threshold_tokens"] = threshold
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save_personalization_config(workspace.data_dir, prefs)
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return jsonify({"success": True})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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@multi_agent_bp.route("/api/multiagent/conversations", methods=["POST"])
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@api_login_required
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def create_multi_agent_conversation():
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"""创建多智能体模式对话。在 metadata 中写入 multi_agent_mode=true。
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body: { workspace_id?, thinking_mode?, run_mode?, preserve_mode? }
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"""
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import time as _time
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from server.conversation import _get_active_workspace_task, _resolve_target_terminal_for_workspace
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from modules.personalization_manager import load_personalization_config
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try:
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from server.user_workspace import UserWorkspace # noqa
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except Exception:
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UserWorkspace = None # type: ignore
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username = get_current_username()
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if not username:
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return jsonify({"success": False, "error": "未登录"}), 401
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data = request.get_json() or {}
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target_workspace_id = (data.get("workspace_id") or "").strip()
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terminal, workspace = get_user_resources(username)
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if not terminal or not workspace:
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return jsonify({"success": False, "error": "工作区未就绪"}), 503
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if target_workspace_id:
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try:
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terminal, workspace = _resolve_target_terminal_for_workspace(
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username, target_workspace_id, terminal, workspace
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)
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except ValueError as exc:
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return jsonify({"success": False, "error": str(exc)}), 404
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except RuntimeError as exc:
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return jsonify({"success": False, "error": str(exc)}), 503
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preserve_mode = bool(data.get("preserve_mode"))
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thinking_mode = data.get("thinking_mode") if preserve_mode and "thinking_mode" in data else None
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run_mode = data.get("mode") if preserve_mode and "mode" in data else None
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effective_workspace_id = target_workspace_id or session.get("workspace_id") or "default"
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active_task = _get_active_workspace_task(username=username, workspace_id=effective_workspace_id)
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try:
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prefs = load_personalization_config(workspace.data_dir)
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except Exception:
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prefs = {}
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ctx_manager = getattr(terminal, "context_manager", None)
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if not ctx_manager:
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return jsonify({"success": False, "error": "上下文管理器未初始化"}), 500
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cm = getattr(ctx_manager, "multi_agent_conversation_manager", None) or getattr(ctx_manager, "conversation_manager", None)
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if not cm:
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return jsonify({"success": False, "error": "对话管理器未初始化"}), 500
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safe_run_mode = run_mode
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if safe_run_mode not in {"fast", "thinking", "deep"}:
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candidate = (prefs or {}).get("default_run_mode")
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safe_run_mode = candidate if candidate in {"fast", "thinking", "deep"} else "fast"
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safe_thinking = bool(thinking_mode) if thinking_mode is not None else safe_run_mode != "fast"
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default_permission_mode = (prefs or {}).get("default_permission_mode")
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if default_permission_mode not in ("readonly", "approval", "auto_approval", "unrestricted"):
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default_permission_mode = None
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previous_cm_current = getattr(ctx_manager, "current_conversation_id", None)
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conversation_id = cm.create_conversation(
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project_path=str(workspace.project_path),
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thinking_mode=safe_thinking,
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run_mode=safe_run_mode,
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initial_messages=[],
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model_key=(prefs or {}).get("default_model") or getattr(terminal, "model_key", None),
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metadata_overrides={
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"permission_mode": default_permission_mode or getattr(terminal, "get_permission_mode", lambda: "unrestricted")(),
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"execution_mode": getattr(terminal, "get_execution_mode", lambda: "sandbox")(),
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"multi_agent_mode": True,
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},
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)
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# 恢复 context_manager 的当前对话（不要影响普通对话的 current_conversation_id）
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try:
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ctx_manager.current_conversation_id = previous_cm_current
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except Exception:
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pass
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# 触发对话列表更新事件
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try:
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from server.app_legacy import socketio
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socketio.emit('conversation_list_update', {
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'action': 'created',
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'conversation_id': conversation_id,
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}, room=f"user_{username}")
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except Exception:
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pass
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return jsonify({
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"success": True,
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"conversation_id": conversation_id,
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"multi_agent_mode": True,
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}), 201
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@multi_agent_bp.route("/api/multiagent/models", methods=["GET"])
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@api_login_required
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def list_sub_agent_models_api():
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"""列出子智能体可用的模型列表（从 sub_agent_models.json 读取，脱敏后返回）。"""
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try:
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from config.sub_agent import SUB_AGENT_MODELS_CONFIG_FILE
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from pathlib import Path as _Path
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import json as _json
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config_path = SUB_AGENT_MODELS_CONFIG_FILE
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if not _Path(config_path).exists():
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return jsonify({"success": True, "models": [], "default_model": ""})
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raw = _json.loads(_Path(config_path).read_text(encoding="utf-8"))
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models_raw = raw.get("models", []) if isinstance(raw, dict) else (raw if isinstance(raw, list) else [])
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default_model = str(raw.get("default_model", "")) if isinstance(raw, dict) else ""
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# 脱敏：只返回 name / modes / multimodal / max_output / max_context
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safe_models = []
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for m in models_raw:
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if not isinstance(m, dict):
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continue
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safe_models.append({
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"name": m.get("name") or m.get("model_name") or "",
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"modes": m.get("modes") or m.get("mode") or "",
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"multimodal": m.get("multimodal") or "none",
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"max_output": m.get("max_output") or m.get("max_tokens") or 0,
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"max_context": m.get("max_context") or m.get("context_window") or 0,
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})
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return jsonify({
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"success": True,
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"models": safe_models,
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"default_model": default_model,
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})
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except Exception as exc:
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return jsonify({"success": False, "error": str(exc)}), 500
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@multi_agent_bp.route("/api/multiagent/active_sub_agents", methods=["GET"])
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@api_login_required
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def list_active_sub_agents_api():
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"""查询当前会话所有子智能体实例（多智能体模式专用）。"""
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username = get_current_username()
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if not username:
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return jsonify({"success": False, "error": "未登录"}), 401
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conversation_id = (request.args.get("conversation_id") or "").strip()
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if not conversation_id:
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return jsonify({"success": False, "error": "缺少 conversation_id 参数"}), 400
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terminal, _ = get_user_resources(username)
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if not terminal:
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return jsonify({"success": False, "error": "工作区未就绪"}), 503
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sub_agent_manager = getattr(terminal, "sub_agent_manager", None)
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if not sub_agent_manager:
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return jsonify({"success": False, "error": "子智能体管理器未就绪"}), 503
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state = sub_agent_manager.get_multi_agent_state(conversation_id)
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agents: List[Dict[str, Any]] = []
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if state:
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for a in state.list_all():
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d = a.to_dict()
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task = sub_agent_manager.tasks.get(a.task_id)
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if isinstance(task, dict):
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d["last_tool"] = task.get("last_tool")
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stats_file = Path(task.get("stats_file", ""))
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if stats_file.exists():
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try:
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stats = json.loads(stats_file.read_text(encoding="utf-8"))
|
||
d["current_context_tokens"] = stats.get("current_context_tokens", 0)
|
||
except Exception:
|
||
d["current_context_tokens"] = 0
|
||
else:
|
||
d["current_context_tokens"] = 0
|
||
agents.append(d)
|
||
if not state:
|
||
return jsonify({"success": True, "agents": []})
|
||
return jsonify({
|
||
"success": True,
|
||
"agents": agents,
|
||
})
|
||
|
||
|
||
__all__ = ["multi_agent_bp"] |