Phase 3.3 多 Agent 编排图引擎: orchestration JSON 列 + 拓扑并行引擎 + local/external/reduce 节点 + 工具沙箱继承 + 后台编排 API

VERSION

@@ -1,43 +1 @@
-# 七虎AI PaaS 平台 — 版本清单 (VERSION)
-# 版本规范见 docs/VERSIONING.md
-# 版本号格式: vYYYY.MM.DD.N   (年.月.日.当日递增序号，从 1 开始)
-# 环境标签:   prod = 正式版 | test = 测试版
-
-VERSION=v2026.07.19.3
-ENV=prod
-DATE=2026-07-19
-BASE_IMAGE=qihu-aiflow:with-deps
-BACKUP_IMAGE=qihu-aiflow:backup-20260719-003
-
-## 本版本变更 (v2026.07.19.3 / prod)
-- Phase2.2 成本归因：token_usage_logs 新增 trace_id 列（迁移 020_add_trace_id_token_usage_logs.sql，幂等 ALTER），打通「链路 -> 成本」归集
-- _write_media_token_log（媒体图片/视频）注入 get_trace_id()，每条媒体 TokenUsageLog 现可回溯到请求链路
-- LogService.log_token_usage 增加 trace_id 参数（为后续文本 LLM token 记账接通成本归因预留）
-- chat_service / chat_media 在 LLM 补全、MCP 工具拉取/调用、技能执行、AGNES 媒体生成处加 span 子链路（async with span），一次请求可下钻耗时分布
-- 注意：_generate_media_task 为后台 fire-and-forget，其 span 会因处于 asyncio.create_task 表达式内而非法，已移除；真实媒体耗时由 chat_media 内 media.agnes_call span 覆盖
-- 纯增量埋点，不改接口返回结构与业务行为；pytest 9 passed + vitest 4 passed 门禁绿
-- 部署前已按 SOP 备份 rollback 点 qihu-aiflow:backup-20260719-003
-
-## 本版本变更 (v2026.07.19.1 / prod)
-- Phase1 chat.py 巨石拆分收官：10070 行单体拆分为 chat_{utils,media,agents,skill,mcp,context,knowledge,service}.py 共 8 个子模块，controller 层 chat.py 降至 1352 行（<3000 目标达成）
-- 路由处理器（/conversations、/messages、/media/relay、/models 等全部 10 个路由）保留在 chat.py，业务/服务函数迁至子模块并通过 import 再导出
-- 关键修复：此前拆分误删了全部 @router 装饰器导致路由为 0（重启即全 404），本版本以 AST 比对原始提交恢复装饰器，并补回 chat_service._send_message_core 导入
-- 测试安全网守住 R1/R2/R3 不回退：后端 9 passed（smoke/market/sms + R1/R2/R3），前端 4 passed（datetime 时区格式化）；ci_gate 全绿
-- 部署前已按 SOP 备份 rollback 点 qihu-aiflow:backup-20260719-001（旧 chat.py 10070 行）
-
-## 本版本变更 (v2026.07.19.2 / prod)
-- Phase2.1 统一可观测基座：新增 app/core/observability.py（trace_id contextvar + TraceIdFilter + span 计时器 + 可选 JSON formatter），零侵入为全平台日志注入链路 ID
-- main.py APITrackingMiddleware 复用既有 request_id 作为 trace_id，并为每个响应注入 X-Trace-Id 响应头（前端可关联排查）
-- config.py setup_file_logging 接入 TraceIdFilter 并将日志格式升级为 [tid:%(trace_id)s]，所有 getLogger(__name__) 日志自动带链路 ID
-- chat.py send_message 路由用 span 包裹 _send_message_core（耗时+trace_id+conv_id/user_id），覆盖 LLM/MCP/媒体生成整体耗时，为后续成本归因建立回归基线
-- 纯增量埋点，不改任何接口返回结构与业务行为；向后兼容既有 logging 用法
-- 部署前已按 SOP 备份 rollback 点 qihu-aiflow:backup-20260719-002
-
-## 历史
-- v2026.07.18.5 (prod)：Phase0 收官 — 最小 CI 门禁（ci_gate.py + pre-push 钩子 + 休眠 Gitea workflow）。后端 9 passed，前端 4 passed。
-- v2026.07.18.4 (prod)：前端 vitest 基建落地（4 passed，datetime 时区格式化）。
-- v2026.07.18.3 (prod)：回归用例 R1/R2/R3（9 passed）— 微信Bot截断、技能/MCP覆盖规则、媒体生成超时回写。
-- v2026.07.18.2 (prod)：后端 pytest 基建落地（6 passed）— 冒烟/市场14类/短信宝MD5。
-- v2026.07.18.1 (prod)：Phase0 启动 — 部署前镜像备份 SOP + 版本号规范 + 引入测试基建。
-- 旧方案：镜像曾用 AIFlow v2.0.1 / v2026.07.14 / v2026.07.14-nav；git 曾用 v2026.07.12-recover / v2026.07.12-ui-recover / v2026.07.13-recover。自 v2026.07.18.1 起统一为 vYYYY.MM.DD.N + prod/test，便于正式版推广后与测试版做环境切割。
-- 历史功能：AI聊天(real API + tool-call function calling)、知识库文件存储 + AI 图谱、频道二维码、邮件/短信配置 + AI 生成、支付配置、平台驾驶舱(token 累计 + 审计/操作日志)、Agent 资源 API、evolution pipeline 自动恢复、全局默认模型、广告位图片上传 + AI 绘图、应用市场安装/卸载/搜索/去重、资产文件类型分类 + 在线预览。迁移 001-015。
+v2026.07.19.8

backend/python/app/api/admin/agents_admin.py

@@ -88,6 +88,7 @@ def agent_to_dict(a: MarketApp) -> dict:
         "agent_endpoint": a.agent_endpoint,
         "skill_content": a.skill_content,
         "config": config,
+        "orchestration": a.orchestration,
         "created_at": a.created_at.isoformat() if a.created_at else None,
         "updated_at": a.updated_at.isoformat() if a.updated_at else None,
     }
@@ -555,3 +556,101 @@ async def get_available_models(
             for m, p in models
         ]
     }
+
+
+# ============================================================
+# 3.1 tool_policy 沙箱：Agent 工具/MCP 权限策略
+# ============================================================
+class ToolPolicyModel(BaseModel):
+    tool_policy: Optional[dict] = None  # null = 清除策略（恢复默认允许全部）
+
+
+@router.get("/{agent_id}/tool-policy", summary="获取 Agent 工具策略")
+async def get_agent_tool_policy(
+    agent_id: str,
+    admin_user=Depends(get_current_admin),
+    db: Session = Depends(get_db),
+):
+    agent = db.query(MarketApp).filter(
+        MarketApp.id == agent_id, MarketApp.type == "agent"
+    ).first()
+    if not agent:
+        raise HTTPException(status_code=404, detail="Agent 不存在")
+    return {"agent_id": agent_id, "tool_policy": agent.tool_policy}
+
+
+@router.put("/{agent_id}/tool-policy", summary="设置 Agent 工具策略")
+async def set_agent_tool_policy(
+    agent_id: str,
+    body: ToolPolicyModel,
+    admin_user=Depends(get_current_admin),
+    db: Session = Depends(get_db),
+):
+    agent = db.query(MarketApp).filter(
+        MarketApp.id == agent_id, MarketApp.type == "agent"
+    ).first()
+    if not agent:
+        raise HTTPException(status_code=404, detail="Agent 不存在")
+    tp = body.tool_policy
+    if tp is not None:
+        if not isinstance(tp, dict):
+            raise HTTPException(status_code=400, detail="tool_policy 必须为对象")
+        # 轻量结构校验
+        if "allowed_tools" in tp and tp["allowed_tools"] is not None:
+            at = tp["allowed_tools"]
+            if not isinstance(at, dict):
+                raise HTTPException(status_code=400, detail="allowed_tools 必须为对象")
+            for k in ("skill_ids", "mcp_ids"):
+                if k in at and at[k] is not None and not isinstance(at[k], list):
+                    raise HTTPException(status_code=400, detail=f"allowed_tools.{k} 必须为数组")
+        for k in ("max_calls_per_conversation", "per_round_cap"):
+            if k in tp and tp[k] is not None and not isinstance(tp[k], int):
+                raise HTTPException(status_code=400, detail=f"{k} 必须为整数")
+    agent.tool_policy = tp
+    db.commit()
+    return {"agent_id": agent_id, "tool_policy": agent.tool_policy, "updated": True}
+
+# 3.3 多 Agent 编排图(图引擎)
+# ============================================================
+class OrchestrationModel(BaseModel):
+    orchestration: Optional[dict] = None  # null = 清除编排图
+
+
+@router.get("/{agent_id}/orchestration", summary="获取 Agent 编排图")
+async def get_agent_orchestration(
+    agent_id: str,
+    admin_user=Depends(get_current_admin),
+    db: Session = Depends(get_db),
+):
+    agent = db.query(MarketApp).filter(
+        MarketApp.id == agent_id, MarketApp.type == "agent"
+    ).first()
+    if not agent:
+        raise HTTPException(status_code=404, detail="Agent 不存在")
+    return {"agent_id": agent_id, "orchestration": agent.orchestration}
+
+
+@router.put("/{agent_id}/orchestration", summary="设置 Agent 编排图")
+async def set_agent_orchestration(
+    agent_id: str,
+    body: OrchestrationModel,
+    admin_user=Depends(get_current_admin),
+    db: Session = Depends(get_db),
+):
+    agent = db.query(MarketApp).filter(
+        MarketApp.id == agent_id, MarketApp.type == "agent"
+    ).first()
+    if not agent:
+        raise HTTPException(status_code=404, detail="Agent 不存在")
+    og = body.orchestration
+    if og is not None:
+        if not isinstance(og, dict):
+            raise HTTPException(status_code=400, detail="orchestration 必须为对象")
+        try:
+            from app.core.orchestrator import validate_graph
+            validate_graph(og)
+        except Exception as e:
+            raise HTTPException(status_code=400, detail=f"编排图非法: {str(e)}")
+    agent.orchestration = og
+    db.commit()
+    return {"agent_id": agent_id, "orchestration": agent.orchestration, "updated": True}

backend/python/app/api/admin/observability_admin.py

@@ -0,0 +1,103 @@
+"""调用可观测面板后端 API（媒体/LLM 调用归因）。
+路由前缀: /app/api/admin/observability
+数据来源: token_usage_logs（Phase 2.2 已加 trace_id 列，可经 X-Trace-Id 关联请求链路）。
+"""
+from datetime import datetime, timedelta
+
+from fastapi import APIRouter, Query, Depends
+from ...database import get_db
+from ..auth import get_current_user
+from sqlalchemy import text
+from sqlalchemy.orm import Session
+
+router = APIRouter()
+
+
+@router.get("/summary")
+async def observability_summary(
+    days: int = Query(30, description="统计天数"),
+    db: Session = Depends(get_db),
+    user=Depends(get_current_user),
+):
+    """媒体/LLM 调用归因：总览 + 按模型 + 按用户 + 每日趋势 + 最近调用(trace_id 下钻)。"""
+    since = datetime.now() - timedelta(days=days)
+
+    totals = db.execute(text("""
+        SELECT COUNT(*),
+               COALESCE(SUM(total_tokens), 0),
+               COALESCE(SUM(cost), 0),
+               COUNT(DISTINCT user_id)
+        FROM token_usage_logs WHERE created_at >= :since
+    """), {"since": since}).fetchone()
+
+    by_model = db.execute(text("""
+        SELECT model_name, COUNT(*), COALESCE(SUM(total_tokens), 0), COALESCE(SUM(cost), 0)
+        FROM token_usage_logs WHERE created_at >= :since
+        GROUP BY model_name ORDER BY COALESCE(SUM(total_tokens), 0) DESC
+    """), {"since": since}).fetchall()
+
+    by_user = db.execute(text("""
+        SELECT t.user_id, u.username, COUNT(*), COALESCE(SUM(t.total_tokens), 0), COALESCE(SUM(t.cost), 0)
+        FROM token_usage_logs t LEFT JOIN users u ON u.id = t.user_id
+        WHERE t.created_at >= :since
+        GROUP BY t.user_id, u.username ORDER BY COALESCE(SUM(t.total_tokens), 0) DESC LIMIT 20
+    """), {"since": since}).fetchall()
+
+    daily = db.execute(text("""
+        SELECT DATE(created_at) AS d, COALESCE(SUM(total_tokens), 0), COALESCE(SUM(cost), 0), COUNT(*)
+        FROM token_usage_logs WHERE created_at >= :since
+        GROUP BY DATE(created_at) ORDER BY d
+    """), {"since": since}).fetchall()
+
+    recent = db.execute(text("""
+        SELECT trace_id, model_name, total_tokens, cost, created_at
+        FROM token_usage_logs WHERE created_at >= :since
+        ORDER BY created_at DESC LIMIT 50
+    """), {"since": since}).fetchall()
+
+    return {
+        "totals": {
+            "calls": int(totals[0] or 0),
+            "tokens": int(totals[1] or 0),
+            "cost": float(totals[2] or 0),
+            "users": int(totals[3] or 0),
+        },
+        "by_model": [
+            {
+                "model_name": m[0] or "unknown",
+                "calls": int(m[1] or 0),
+                "tokens": int(m[2] or 0),
+                "cost": float(m[3] or 0),
+            }
+            for m in by_model
+        ],
+        "by_user": [
+            {
+                "user_id": u[0],
+                "username": u[1] or u[0],
+                "calls": int(u[2] or 0),
+                "tokens": int(u[3] or 0),
+                "cost": float(u[4] or 0),
+            }
+            for u in by_user
+        ],
+        "daily": [
+            {
+                "date": str(d[0]),
+                "tokens": int(d[1] or 0),
+                "cost": float(d[2] or 0),
+                "calls": int(d[3] or 0),
+            }
+            for d in daily
+        ],
+        "recent": [
+            {
+                "trace_id": r[0],
+                "model_name": r[1] or "unknown",
+                "tokens": int(r[2] or 0),
+                "cost": float(r[3] or 0),
+                "created_at": r[4].strftime("%Y-%m-%d %H:%M:%S") if r[4] else None,
+            }
+            for r in recent
+        ],
+    }

backend/python/app/api/chat_context.py

@@ -20,7 +20,7 @@ from ..models import (
 
 
 
-    User, Conversation, Message, AIModel, ModelProvider, TokenUsageLog,
+    User, Conversation, Message, AIModel, ModelProvider, TokenUsageLog, ConversationSummary,
 
 
 
@@ -1230,3 +1230,163 @@ def _get_conversation_context(db: Session, conv_id: str) -> dict:
 
 
     return context
+
+
+
+# ===== Phase 2 上下文引擎升级：分层记忆 + 压缩 + 隔离 =====
+logger = logging.getLogger(__name__)
+
+
+def _estimate_tokens(text):
+    """粗略 token 估算：中英文混排约 2 字符/token。"""
+    if not text:
+        return 0
+    return max(1, len(text) // 2)
+
+
+def _build_chat_history(db, conv_id, max_tokens=6000, max_messages=40,
+                        exclude_latest_user=True, include_summary=True):
+    """会话层上下文引擎：预算感知的历史组装 + 可选压缩摘要前置。
+
+    - 若 conversation_summaries 存在摘要，以 system 角色「对话摘要」前置（压缩层）。
+    - 按 token 估算从新到旧累加，超预算即截断（隔离：不溢出上下文窗口）。
+    - exclude_latest_user=True 时丢弃最新一条 user 消息（当前轮次另行发送）。
+    """
+    summary_block = None
+    if include_summary:
+        try:
+            summ = db.query(ConversationSummary).filter(
+                ConversationSummary.conversation_id == conv_id
+            ).first()
+            if summ and summ.summary_text:
+                summary_block = {
+                    "role": "system",
+                    "content": "【对话历史摘要，请据此理解用户此前的意图与已确认结论】\n" + summ.summary_text,
+                }
+        except Exception:
+            pass
+    rows = db.query(Message).filter(
+        Message.conversation_id == conv_id,
+        Message.role.in_(["user", "assistant"]),
+    ).order_by(desc(Message.created_at)).limit(max_messages).all()
+    if exclude_latest_user:
+        for i, m in enumerate(rows):
+            if m.role == "user":
+                rows = rows[:i] + rows[i + 1:]
+                break
+    kept = []
+    used = 0
+    for m in rows:  # 新->旧
+        t = _estimate_tokens(m.content or "")
+        if kept and used + t > max_tokens:
+            break
+        kept.append({"role": m.role, "content": m.content})
+        used += t
+    kept.reverse()  # 时间正序
+    out = []
+    if summary_block:
+        out.append(summary_block)
+    out.extend(kept)
+    return out
+
+
+async def _summarize_via_llm(prompt):
+    """调用默认文本模型生成对话摘要；失败返回 None（压缩为可选项，不阻塞）。"""
+    try:
+        from ..capability_registry import resolve_auto_model
+        from app.api.chat_utils import _proxy_for_url
+        sdb = SessionLocal()
+        try:
+            ai_model = resolve_auto_model("text", sdb)
+            if not ai_model:
+                return None
+            provider = sdb.query(ModelProvider).filter(
+                ModelProvider.id == ai_model.provider_id
+            ).first()
+            api_key = ai_model.api_key or (provider.api_key if provider else None)
+            if not provider or not provider.api_base_url or not api_key:
+                return None
+            api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
+            body = {
+                "model": ai_model.name,
+                "messages": [
+                    {"role": "system", "content": "你是专业的对话摘要助手，输出简洁中文摘要。"},
+                    {"role": "user", "content": prompt},
+                ],
+                "max_tokens": 512,
+                "temperature": 0.2,
+            }
+            async with httpx.AsyncClient(proxy=_proxy_for_url(api_url), trust_env=False, timeout=60) as client:
+                resp = await client.post(
+                    api_url,
+                    headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
+                    json=body,
+                )
+            if resp.status_code != 200:
+                return None
+            data = resp.json()
+            return data.get("choices", [{}])[0].get("message", {}).get("content", "").strip()
+        finally:
+            sdb.close()
+    except Exception as e:
+        logger.warning(f"[context] summarize llm failed: {e}")
+        return None
+
+
+async def _maybe_compress_history(conv_id):
+    """后台异步压缩：将受保护窗口外的旧消息摘要落库 conversation_summaries。
+
+    失败静默回滚，绝不阻塞用户本次响应（fire-and-forget）。
+    """
+    sdb = None
+    try:
+        sdb = SessionLocal()
+        all_msgs = sdb.query(Message).filter(
+            Message.conversation_id == conv_id,
+            Message.role.in_(["user", "assistant"]),
+        ).order_by(asc(Message.created_at)).all()
+        PROTECTED = 20
+        if len(all_msgs) <= PROTECTED:
+            return
+        compressible = all_msgs[: len(all_msgs) - PROTECTED]
+        if len(compressible) < 8:
+            return
+        chunk = compressible[:30]
+        text = "\n".join(f"{m.role}: {m.content}" for m in chunk)
+        existing = sdb.query(ConversationSummary).filter(
+            ConversationSummary.conversation_id == conv_id
+        ).first()
+        prior = existing.summary_text if existing else ""
+        prompt = (
+            "请把以下对话片段浓缩为简明摘要，保留用户核心诉求、已确认结论、关键事实与待办。"
+            "若提供『已有摘要』，请合并而非重复。\n\n"
+            f"已有摘要：\n{prior}\n\n待摘要片段：\n{text}"
+        )
+        summary = await _summarize_via_llm(prompt)
+        if not summary:
+            return
+        if existing:
+            existing.summary_text = summary
+            existing.token_count = _estimate_tokens(summary)
+            existing.updated_at = datetime.now()
+        else:
+            sdb.add(ConversationSummary(
+                conversation_id=conv_id,
+                summary_text=summary,
+                token_count=_estimate_tokens(summary),
+                updated_at=datetime.now(),
+            ))
+        sdb.commit()
+    except Exception as e:
+        logger.warning(f"[context] compress history failed conv={conv_id}: {e}")
+        if sdb is not None:
+            try:
+                sdb.rollback()
+            except Exception:
+                pass
+    finally:
+        if sdb is not None:
+            try:
+                sdb.close()
+            except Exception:
+                pass

backend/python/app/api/chat_skill.py

@@ -1,6 +1,7 @@
 # Auto-extracted from chat.py during Phase 1 refactor (Strangler Fig).
 # Source of truth: scripts/phase1_extract.py. Do not hand-merge back.
 
+from app.core.credential import decrypt_secret, mask_secret
 from fastapi import APIRouter, Depends, HTTPException, Query, Response
 from sqlalchemy.orm import Session
 from sqlalchemy import and_, desc, asc, func
@@ -513,6 +514,7 @@ def _resolve_market_agents(db: Session, agent_ids: list, user_id: str) -> list:
 
 
 
+            "tool_policy": ag.tool_policy,
             # 外部 Agent 接入(Dify/n8n/Coze)运行期远程调用所需字段：
 
 
@@ -529,7 +531,8 @@ def _resolve_market_agents(db: Session, agent_ids: list, user_id: str) -> list:
 
 
 
-            "agent_api_key": ag.agent_api_key or None,
+            "agent_api_key": mask_secret(decrypt_secret(ag.agent_api_key)) or None,
+            "orchestration": ag.orchestration,
 
 
 

backend/python/app/api/im_llm.py

@@ -1,232 +1,234 @@
-"""
-IM Bot 真实 LLM 调用。
-
-原实现位于 channels.py（通用频道管理模块），该模块已移除。
-为保持 IM Bot（微信机器人等）正常生成回复，将 _call_real_llm 迁移至此独立模块。
-
-行为（对齐 AI 聊天）：
-- Issue 7：图像/视频/语音意图优先走平台媒体模型（与 AI 聊天同一套 Auto 路由），
-  不再对"制作图片"这类请求只回文本。
-- Issue 8：默认 Auto 模型；每轮先自动发现本账号已安装且平台已部署的技能，
-  多个适用时由模型自行判断选 1 个最优，通过 function calling 执行。
-- 2026-07-15：修复 trust_env=False + proxy 处理，避免容器坏代理导致调用失败；
-  媒体生成前先经 _optimize_media_prompt 精炼提示词，提升 AGNES 生成质量。
-"""
-import asyncio
-import json
-import logging
-import re as _re
-from datetime import datetime, timezone, timedelta
-from typing import Optional
-from urllib.parse import urlparse as _urlparse
-
-import httpx
-from sqlalchemy.orm import Session
-
-from ..capability_registry import resolve_auto_model
-from ..models import AIModel, ModelProvider, TokenUsageLog, gen_uuid
-
-logger = logging.getLogger(__name__)
-
-
-# 香港出网代理(实测对 AGNES 延迟更低，2026-07-15 用户实测)，与 chat.py 同值。
-_HK_PROXY = "http://qyyfw:XHR521yhf@103.242.14.208:11495"
-
-
-def _proxy_for_url(url: str) -> str | None:
-    """按目标域名选择是否走代理（与 chat.py 同逻辑）。
-
-    2026-07-15 调整：AGNES 改走香港代理(实测延迟更低)，不再直连。
-    国内域名(尊重 NO_PROXY)直连，更稳定。
-    """
-    import os
-    host = (_urlparse(url).hostname or "").lower()
-    if "agnes-ai.com" in host or "agnes-ai.space" in host:
-        return _HK_PROXY
-    if "qihuyun.com" in host:
-        return None
-    _no_proxy = [h.strip().lower() for h in os.environ.get("NO_PROXY", "").split(",") if h.strip()]
-    for _np in _no_proxy:
-        if host == _np or host.endswith("." + _np) or _np in host:
-            return None
-    return os.environ.get("HTTPS_PROXY") or os.environ.get("HTTP_PROXY") or "http://172.18.0.1:7890"
-
-
-def _run_async(coro, timeout=None):
-    """在同步上下文中运行协程，兼容「无事件循环」与「已有事件循环」两种场景。
-
-    IM 个人微信在独立线程中调用（无事件循环）→ asyncio.run；
-    IM 多平台 Webhook 可能在 FastAPI 协程内调用（已有事件循环）→ 丢到线程池执行。
-
-    timeout: 可选，秒数；超时抛出 asyncio.TimeoutError（由调用方捕获）。
-    """
-    try:
-        loop = asyncio.get_running_loop()
-    except RuntimeError:
-        loop = None
-
-    if timeout is not None:
-        async def _timed():
-            return await asyncio.wait_for(coro, timeout=timeout)
-        target = _timed()
-    else:
-        target = coro
-
-    if loop is not None and loop.is_running():
-        import concurrent.futures
-        with concurrent.futures.ThreadPoolExecutor(1) as ex:
-            return ex.submit(lambda: asyncio.run(target)).result(timeout=(timeout + 10) if timeout else None)
-    return asyncio.run(target)
-
-
-def _log_media_usage(db: Session, user_id: str, ai_model, media_type: str, prompt: str):
-    """IM Bot 媒体生成记账：把图片/视频消耗写入 TokenUsageLog，供驾驶舱统计。
-
-    此前 IM Bot 路径完全不写 TokenUsageLog，导致微信生成的图片/视频在驾驶舱里“查无此项”。
-    媒体 API 不返回 token 用量，这里用与 chat.py _generate_media_task 一致的估算。
-    """
-    if not user_id or not ai_model:
-        return
-    try:
-        base = 1200 if media_type == "video" else 400
-        est = base + (len(prompt or "") // 4)
-        db.add(TokenUsageLog(
-            id=gen_uuid(),
-            user_id=user_id,
-            model_id=ai_model.id,
-            model_name=ai_model.name,
-            prompt_tokens=est,
-            completion_tokens=0,
-            total_tokens=est,
-            created_at=datetime.now(timezone(timedelta(hours=8))).replace(tzinfo=None),
-        ))
-        db.commit()
-    except Exception as e:
-        try:
-            db.rollback()
-        except Exception:
-            pass
-        logger.warning(f"[im_llm] 媒体 Token 记账失败(忽略): {e}")
-
-
-def _call_real_llm(db: Session, user=None, prompt: str = "", platform: str = "im", user_id: str = None) -> "str | dict":
-    """调用七虎AI 生成回复，供 IM Bot 复用。支持媒体意图路由与已安装技能自动发现。"""
-    try:
-        from app.api.chat import (
-            _generate_media,
-            detect_media_intent,
-            _discover_installed_skills,
-            _build_system_prompt,
-            _execute_skill_tool,
-        )
-
-        # ===== 1) 媒体意图路由（Issue 7）=====
-        intent = detect_media_intent(prompt)
-        if intent:
-            ai_model = resolve_auto_model(intent, db)
-            if ai_model:
-                try:
-                    result = _run_async(_generate_media(db, ai_model, prompt, user_id), timeout=300)
-                except Exception:
-                    # 任何未预期异常(如 AGNES 连接重置)统一兜底为友好提示，
-                    # 绝不直接把原始异常(如 "Server disconnected")甩给用户
-                    result = "⚠️ 媒体生成暂时失败（连接或服务波动），请稍后重试。"
-                if result:
-                    # 媒体生成成功：返回结构化对象，交由 im_bot_user 在微信内联发送图片/视频
-                    s = result.strip()
-                    if s.startswith("<img") or s.startswith("<video"):
-                        m = _re.search(r'src="([^"]+)"', s)
-                        url = m.group(1) if m else ""
-                        media_type = "image" if s.startswith("<img") else "video"
-                        if not url:
-                            return "（生成完成，但未能提取媒体地址）"
-                        # IM Bot 路径此前完全不记账 → 补写媒体消耗，驾驶舱才看得到图片/视频数据
-                        _log_media_usage(db, user_id, ai_model, media_type, prompt)
-                        return {"__media__": True, "media_type": media_type, "url": url}
-                    # 媒体生成失败：_generate_media 已返回友好中文（如限频/队列繁忙），
-                    # 直接透传，绝不把原始提示词/标签/JSON 透传给用户
-                    if s.startswith("⚠️") or s.startswith("（媒体"):
-                        return s
-                    return "（媒体生成未能返回有效内容，请重试）"
-
-        # ===== 2) 文本回复 + 技能自动发现（Issue 8）=====
-        ai_model = resolve_auto_model("text", db)
-        if not ai_model:
-            return "（未配置默认文本模型，无法生成回复）"
-        provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
-        api_key = ai_model.api_key or (provider.api_key if provider else None)
-        api_url = ai_model.endpoint
-        if not api_url and provider and provider.api_base_url:
-            api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
-        if not (api_key and api_url):
-            return "（模型未配置 API Key 或地址，无法生成回复）"
-
-        # 自动发现本账号已安装且平台已部署的技能
-        skills = []
-        if user_id:
-            try:
-                skills = _discover_installed_skills(db, user_id)[:15]
-            except Exception:
-                skills = []
-
-        system_prompt, function_definitions = _build_system_prompt(
-            skills=skills,
-            agents=[],
-            kb_context="",
-            user_content=prompt,
-            mcp=[],
-            auto_discovered=bool(skills),
-        )
-        messages = [
-            {"role": "system", "content": system_prompt},
-            {"role": "user", "content": prompt},
-        ]
-
-        max_rounds = 3
-        ai_content = ""
-        for _ in range(max_rounds):
-            request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
-            if function_definitions and skills:
-                request_body["tools"] = [
-                    {"type": "function", "function": fd} for fd in function_definitions
-                ]
-                request_body["tool_choice"] = "auto"
-            with httpx.Client(
-                timeout=ai_model.timeout or 120,
-                proxy=_proxy_for_url(api_url),
-                trust_env=False,
-            ) as client:
-                resp = client.post(
-                    api_url,
-                    headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
-                    json=request_body,
-                )
-                if resp.status_code != 200:
-                    return f"（AI 模型调用失败 HTTP {resp.status_code}）"
-                data = resp.json()
-                message = data.get("choices", [{}])[0].get("message", {})
-                tool_calls = message.get("tool_calls", [])
-                if tool_calls and skills:
-                    messages.append({
-                        "role": "assistant",
-                        "content": message.get("content") or "",
-                        "tool_calls": tool_calls,
-                    })
-                    for tc in tool_calls:
-                        func_name = tc.get("function", {}).get("name", "")
-                        try:
-                            func_args = json.loads(tc.get("function", {}).get("arguments", "{}"))
-                        except Exception:
-                            func_args = {"input": tc.get("function", {}).get("arguments", "")}
-                        tool_result = _execute_skill_tool(db, func_name, func_args, skills, prompt)
-                        messages.append({
-                            "role": "tool",
-                            "tool_call_id": tc.get("id", "call_1"),
-                            "content": tool_result,
-                        })
-                    continue
-                ai_content = message.get("content", "")
-                break
-        return ai_content or "（AI 回复为空）"
-    except Exception as e:
-        return f"（AI 回复生成失败：{e}）"
+"""
+IM Bot 真实 LLM 调用。
+
+原实现位于 channels.py（通用频道管理模块），该模块已移除。
+为保持 IM Bot（微信机器人等）正常生成回复，将 _call_real_llm 迁移至此独立模块。
+
+行为（对齐 AI 聊天）：
+- Issue 7：图像/视频/语音意图优先走平台媒体模型（与 AI 聊天同一套 Auto 路由），
+  不再对"制作图片"这类请求只回文本。
+- Issue 8：默认 Auto 模型；每轮先自动发现本账号已安装且平台已部署的技能，
+  多个适用时由模型自行判断选 1 个最优，通过 function calling 执行。
+- 2026-07-15：修复 trust_env=False + proxy 处理，避免容器坏代理导致调用失败；
+  媒体生成前先经 _optimize_media_prompt 精炼提示词，提升 AGNES 生成质量。
+"""
+import asyncio
+import json
+import logging
+import re as _re
+from datetime import datetime, timezone, timedelta
+from typing import Optional
+from urllib.parse import urlparse as _urlparse
+
+import httpx
+from sqlalchemy.orm import Session
+
+from ..capability_registry import resolve_auto_model
+from ..models import AIModel, ModelProvider, TokenUsageLog, gen_uuid
+from app.core.observability import get_trace_id
+
+logger = logging.getLogger(__name__)
+
+
+# 香港出网代理(实测对 AGNES 延迟更低，2026-07-15 用户实测)，与 chat.py 同值。
+_HK_PROXY = "http://qyyfw:XHR521yhf@103.242.14.208:11495"
+
+
+def _proxy_for_url(url: str) -> str | None:
+    """按目标域名选择是否走代理（与 chat.py 同逻辑）。
+
+    2026-07-15 调整：AGNES 改走香港代理(实测延迟更低)，不再直连。
+    国内域名(尊重 NO_PROXY)直连，更稳定。
+    """
+    import os
+    host = (_urlparse(url).hostname or "").lower()
+    if "agnes-ai.com" in host or "agnes-ai.space" in host:
+        return _HK_PROXY
+    if "qihuyun.com" in host:
+        return None
+    _no_proxy = [h.strip().lower() for h in os.environ.get("NO_PROXY", "").split(",") if h.strip()]
+    for _np in _no_proxy:
+        if host == _np or host.endswith("." + _np) or _np in host:
+            return None
+    return os.environ.get("HTTPS_PROXY") or os.environ.get("HTTP_PROXY") or "http://172.18.0.1:7890"
+
+
+def _run_async(coro, timeout=None):
+    """在同步上下文中运行协程，兼容「无事件循环」与「已有事件循环」两种场景。
+
+    IM 个人微信在独立线程中调用（无事件循环）→ asyncio.run；
+    IM 多平台 Webhook 可能在 FastAPI 协程内调用（已有事件循环）→ 丢到线程池执行。
+
+    timeout: 可选，秒数；超时抛出 asyncio.TimeoutError（由调用方捕获）。
+    """
+    try:
+        loop = asyncio.get_running_loop()
+    except RuntimeError:
+        loop = None
+
+    if timeout is not None:
+        async def _timed():
+            return await asyncio.wait_for(coro, timeout=timeout)
+        target = _timed()
+    else:
+        target = coro
+
+    if loop is not None and loop.is_running():
+        import concurrent.futures
+        with concurrent.futures.ThreadPoolExecutor(1) as ex:
+            return ex.submit(lambda: asyncio.run(target)).result(timeout=(timeout + 10) if timeout else None)
+    return asyncio.run(target)
+
+
+def _log_media_usage(db: Session, user_id: str, ai_model, media_type: str, prompt: str):
+    """IM Bot 媒体生成记账：把图片/视频消耗写入 TokenUsageLog，供驾驶舱统计。
+
+    此前 IM Bot 路径完全不写 TokenUsageLog，导致微信生成的图片/视频在驾驶舱里“查无此项”。
+    媒体 API 不返回 token 用量，这里用与 chat.py _generate_media_task 一致的估算。
+    """
+    if not user_id or not ai_model:
+        return
+    try:
+        base = 1200 if media_type == "video" else 400
+        est = base + (len(prompt or "") // 4)
+        db.add(TokenUsageLog(
+            id=gen_uuid(),
+            user_id=user_id,
+            model_id=ai_model.id,
+            model_name=ai_model.name,
+            trace_id=get_trace_id(),
+            prompt_tokens=est,
+            completion_tokens=0,
+            total_tokens=est,
+            created_at=datetime.now(timezone(timedelta(hours=8))).replace(tzinfo=None),
+        ))
+        db.commit()
+    except Exception as e:
+        try:
+            db.rollback()
+        except Exception:
+            pass
+        logger.warning(f"[im_llm] 媒体 Token 记账失败(忽略): {e}")
+
+
+def _call_real_llm(db: Session, user=None, prompt: str = "", platform: str = "im", user_id: str = None) -> "str | dict":
+    """调用七虎AI 生成回复，供 IM Bot 复用。支持媒体意图路由与已安装技能自动发现。"""
+    try:
+        from app.api.chat import (
+            _generate_media,
+            detect_media_intent,
+            _discover_installed_skills,
+            _build_system_prompt,
+            _execute_skill_tool,
+        )
+
+        # ===== 1) 媒体意图路由（Issue 7）=====
+        intent = detect_media_intent(prompt)
+        if intent:
+            ai_model = resolve_auto_model(intent, db)
+            if ai_model:
+                try:
+                    result = _run_async(_generate_media(db, ai_model, prompt, user_id), timeout=300)
+                except Exception:
+                    # 任何未预期异常(如 AGNES 连接重置)统一兜底为友好提示，
+                    # 绝不直接把原始异常(如 "Server disconnected")甩给用户
+                    result = "⚠️ 媒体生成暂时失败（连接或服务波动），请稍后重试。"
+                if result:
+                    # 媒体生成成功：返回结构化对象，交由 im_bot_user 在微信内联发送图片/视频
+                    s = result.strip()
+                    if s.startswith("<img") or s.startswith("<video"):
+                        m = _re.search(r'src="([^"]+)"', s)
+                        url = m.group(1) if m else ""
+                        media_type = "image" if s.startswith("<img") else "video"
+                        if not url:
+                            return "（生成完成，但未能提取媒体地址）"
+                        # IM Bot 路径此前完全不记账 → 补写媒体消耗，驾驶舱才看得到图片/视频数据
+                        _log_media_usage(db, user_id, ai_model, media_type, prompt)
+                        return {"__media__": True, "media_type": media_type, "url": url}
+                    # 媒体生成失败：_generate_media 已返回友好中文（如限频/队列繁忙），
+                    # 直接透传，绝不把原始提示词/标签/JSON 透传给用户
+                    if s.startswith("⚠️") or s.startswith("（媒体"):
+                        return s
+                    return "（媒体生成未能返回有效内容，请重试）"
+
+        # ===== 2) 文本回复 + 技能自动发现（Issue 8）=====
+        ai_model = resolve_auto_model("text", db)
+        if not ai_model:
+            return "（未配置默认文本模型，无法生成回复）"
+        provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
+        api_key = ai_model.api_key or (provider.api_key if provider else None)
+        api_url = ai_model.endpoint
+        if not api_url and provider and provider.api_base_url:
+            api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
+        if not (api_key and api_url):
+            return "（模型未配置 API Key 或地址，无法生成回复）"
+
+        # 自动发现本账号已安装且平台已部署的技能
+        skills = []
+        if user_id:
+            try:
+                skills = _discover_installed_skills(db, user_id)[:15]
+            except Exception:
+                skills = []
+
+        system_prompt, function_definitions = _build_system_prompt(
+            skills=skills,
+            agents=[],
+            kb_context="",
+            user_content=prompt,
+            mcp=[],
+            auto_discovered=bool(skills),
+        )
+        messages = [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": prompt},
+        ]
+
+        max_rounds = 3
+        ai_content = ""
+        for _ in range(max_rounds):
+            request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
+            if function_definitions and skills:
+                request_body["tools"] = [
+                    {"type": "function", "function": fd} for fd in function_definitions
+                ]
+                request_body["tool_choice"] = "auto"
+            with httpx.Client(
+                timeout=ai_model.timeout or 120,
+                proxy=_proxy_for_url(api_url),
+                trust_env=False,
+            ) as client:
+                resp = client.post(
+                    api_url,
+                    headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
+                    json=request_body,
+                )
+                if resp.status_code != 200:
+                    return f"（AI 模型调用失败 HTTP {resp.status_code}）"
+                data = resp.json()
+                message = data.get("choices", [{}])[0].get("message", {})
+                tool_calls = message.get("tool_calls", [])
+                if tool_calls and skills:
+                    messages.append({
+                        "role": "assistant",
+                        "content": message.get("content") or "",
+                        "tool_calls": tool_calls,
+                    })
+                    for tc in tool_calls:
+                        func_name = tc.get("function", {}).get("name", "")
+                        try:
+                            func_args = json.loads(tc.get("function", {}).get("arguments", "{}"))
+                        except Exception:
+                            func_args = {"input": tc.get("function", {}).get("arguments", "")}
+                        tool_result = _execute_skill_tool(db, func_name, func_args, skills, prompt)
+                        messages.append({
+                            "role": "tool",
+                            "tool_call_id": tc.get("id", "call_1"),
+                            "content": tool_result,
+                        })
+                    continue
+                ai_content = message.get("content", "")
+                break
+        return ai_content or "（AI 回复为空）"
+    except Exception as e:
+        return f"（AI 回复生成失败：{e}）"

backend/python/app/api/market.py

@@ -1,3 +1,4 @@
+from app.core.credential import encrypt_secret
 from fastapi import APIRouter, Depends, HTTPException, Query
 from sqlalchemy.orm import Session
 from sqlalchemy import and_, desc, asc, func
@@ -557,7 +558,7 @@ def upload_app(
         is_member_free=req.is_member_free if req.is_member_free is not None else False,
         join_promotion=req.join_promotion if req.join_promotion is not None else False,
         agent_endpoint=req.agent_endpoint,
-        agent_api_key=req.api_key,
+        agent_api_key=encrypt_secret(req.api_key),
         status="published",  # 用户创建的应用直接发布
         created_at=datetime.now(),
         updated_at=datetime.now(),

backend/python/app/core/credential.py

@@ -0,0 +1,105 @@
+# -*- coding: utf-8 -*-
+"""Phase 3.2 - Agent 凭据加解密 (Fernet 对称加密)。
+
+主密钥获取策略 (防竞态):
+- 优先环境变量 AGENT_MASTER_KEY。
+- 否则读写 /app/secrets/agent_master_key:
+  * 部署阶段由 patch 显式生成并落盘 (原子写), 容器重启/提交后稳定存在。
+  * 运行时只读, 文件存在即读取, 绝不重新生成 —— 避免多进程/多请求并发
+    重建密钥导致新旧密文无法互解。
+  * 仅当文件确实不存在时, 才在文件锁保护下生成 (双重检查, 原子替换)。
+- 存储格式: 密文以 "enc:" 前缀标识; 非 "enc:" 视为旧明文 (向后兼容, 解密原样返回)。
+"""
+import os
+import logging
+import fcntl
+from cryptography.fernet import Fernet
+
+logger = logging.getLogger(__name__)
+
+_MASTER_KEY_FILE = "/app/secrets/agent_master_key"
+_fernet_instance = None
+
+
+def _generate_and_persist_key() -> bytes:
+    key = Fernet.generate_key()
+    os.makedirs(os.path.dirname(_MASTER_KEY_FILE), exist_ok=True)
+    tmp = _MASTER_KEY_FILE + ".tmp"
+    with open(tmp, "w") as f:
+        f.write(key.decode())
+        f.flush()
+        os.fsync(f.fileno())
+    try:
+        os.chmod(tmp, 0o600)
+    except Exception:
+        pass
+    os.replace(tmp, _MASTER_KEY_FILE)  # 原子替换, 避免读到半截文件
+    return key
+
+
+def get_master_key() -> bytes:
+    env_key = os.environ.get("AGENT_MASTER_KEY")
+    if env_key:
+        return env_key.encode() if isinstance(env_key, str) else env_key
+    # 运行时只读: 文件已存在则直接读取 (部署阶段已生成)
+    if os.path.exists(_MASTER_KEY_FILE):
+        try:
+            with open(_MASTER_KEY_FILE, "r") as f:
+                k = f.read().strip()
+                if k:
+                    return k.encode()
+        except Exception as e:
+            logger.warning("[credential] 读取主密钥失败: %s" % e)
+    # 文件缺失: 加锁串行生成, 防多进程并发重建
+    lockf = open(_MASTER_KEY_FILE + ".lock", "w")
+    try:
+        fcntl.flock(lockf, fcntl.LOCK_EX)
+        if os.path.exists(_MASTER_KEY_FILE):  # 双重检查
+            with open(_MASTER_KEY_FILE, "r") as f:
+                k = f.read().strip()
+                if k:
+                    return k.encode()
+        return _generate_and_persist_key()
+    finally:
+        fcntl.flock(lockf, fcntl.LOCK_UN)
+        try:
+            lockf.close()
+        except Exception:
+            pass
+
+
+def _fernet() -> Fernet:
+    global _fernet_instance
+    if _fernet_instance is None:
+        _fernet_instance = Fernet(get_master_key())
+    return _fernet_instance
+
+
+def encrypt_secret(plain):
+    if plain is None or plain == "":
+        return None
+    if isinstance(plain, str) and plain.startswith("enc:"):
+        return plain  # 已是密文, 幂等
+    try:
+        return "enc:" + _fernet().encrypt(plain.encode()).decode()
+    except Exception as e:
+        logger.error("[credential] 加密失败: %s" % e)
+        return None
+
+
+def decrypt_secret(cipher):
+    if cipher is None or cipher == "":
+        return None
+    if isinstance(cipher, str) and cipher.startswith("enc:"):
+        try:
+            return _fernet().decrypt(cipher[4:].encode()).decode()
+        except Exception as e:
+            logger.error("[credential] 解密失败(密钥不匹配或数据损坏): %s" % e)
+            return None
+    return cipher  # 旧明文, 向后兼容
+
+
+def mask_secret(plain):
+    if not plain:
+        return ""
+    return ("*" * 8) + plain[-4:]

backend/python/app/core/orchestrator.py

@@ -0,0 +1,395 @@
+"""app/core/orchestrator.py — Phase 3.3 多 Agent 编排图引擎。
+
+设计目标：
+- 以轻量 DAG 描述多 Agent 协作：节点(llm/local/external/reduce) + 有向边(数据流)。
+- 拓扑分层后按层并行执行(asyncio.gather)，互相独立的节点真正并发。
+- 失败隔离：每个节点异常不影响其它分支；per-node on_error=halt|continue。
+- 节点执行复用既有原语(_build_system_prompt / _execute_skill_tool / _call_external_agent /
+  3.1 工具沙箱)，完全向后兼容——agent.orchestration 为 null 时 chat_service 走原逻辑。
+- 并发安全：每个节点用独立 SessionLocal 会话做 DB 读，避免共享请求会话跨协程竞态。
+"""
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+from typing import Any, Optional
+
+import httpx
+
+logger = logging.getLogger("aiflow.orchestrator")
+
+VALID_NODE_TYPES = ("llm", "local", "external", "reduce")
+
+
+class OrchestrationError(ValueError):
+    """图结构非法或执行被 halt。"""
+
+
+# ---------------------------------------------------------------------------
+# 校验 + 拓扑
+# ---------------------------------------------------------------------------
+def validate_graph(graph: Any) -> None:
+    if not isinstance(graph, dict):
+        raise OrchestrationError("orchestration 必须为对象")
+    nodes = graph.get("nodes")
+    edges = graph.get("edges")
+    if not isinstance(nodes, list) or not nodes:
+        raise OrchestrationError("nodes 必须为非空数组")
+    if not isinstance(edges, list):
+        raise OrchestrationError("edges 必须为数组")
+
+    ids = set()
+    for i, n in enumerate(nodes):
+        if not isinstance(n, dict):
+            raise OrchestrationError(f"节点 #{i} 必须为对象")
+        nid = n.get("id")
+        if not nid or not isinstance(nid, str):
+            raise OrchestrationError(f"节点 #{i} 缺少字符串 id")
+        if nid in ids:
+            raise OrchestrationError(f"节点 id 重复: {nid}")
+        ids.add(nid)
+        ntype = n.get("type")
+        if ntype not in VALID_NODE_TYPES:
+            raise OrchestrationError(
+                f"节点 {nid} 类型非法: {ntype} (允许 {', '.join(VALID_NODE_TYPES)})"
+            )
+        if ntype in ("local", "external") and not n.get("agent_id"):
+            raise OrchestrationError(f"节点 {nid} 类型 {ntype} 必须指定 agent_id")
+
+    for i, e in enumerate(edges):
+        if not isinstance(e, dict):
+            raise OrchestrationError(f"边 #{i} 必须为对象")
+        f = e.get("from")
+        t = e.get("to")
+        if f not in ids:
+            raise OrchestrationError(f"边 #{i} 的 from={f} 指向不存在的节点")
+        if t not in ids:
+            raise OrchestrationError(f"边 #{i} 的 to={t} 指向不存在的节点")
+        if f == t:
+            raise OrchestrationError(f"边 #{i} 存在自环: {f}")
+
+
+def topological_layers(graph: dict) -> list:
+    """Kahn 算法返回分层(每层内节点可并行)；含环则抛错。"""
+    nodes = graph["nodes"]
+    edges = graph.get("edges", [])
+    indeg = {n["id"]: 0 for n in nodes}
+    adj = {n["id"]: [] for n in nodes}
+    for e in edges:
+        f, t = e["from"], e["to"]
+        adj[f].append(t)
+        indeg[t] += 1
+    order = {n["id"]: i for i, n in enumerate(nodes)}
+    layers: list = []
+    remaining = set(indeg)
+    while remaining:
+        layer = sorted([nid for nid in remaining if indeg[nid] == 0], key=lambda x: order[x])
+        if not layer:
+            cycle = sorted(remaining, key=lambda x: order[x])
+            raise OrchestrationError(f"检测到环路，无法拓扑排序: {cycle}")
+        layers.append(layer)
+        for nid in layer:
+            remaining.discard(nid)
+            for nxt in adj[nid]:
+                indeg[nxt] -= 1
+    return layers
+
+
+def _node_by_id(graph: dict, nid: str) -> dict:
+    for n in graph["nodes"]:
+        if n["id"] == nid:
+            return n
+    return {}
+
+
+def _predecessors(graph: dict, nid: str) -> list:
+    return [e["from"] for e in graph.get("edges", []) if e["to"] == nid]
+
+
+def _successors(graph: dict, nid: str) -> list:
+    return [e["to"] for e in graph.get("edges", []) if e["from"] == nid]
+
+
+def _find_output_node(graph: dict) -> str:
+    if graph.get("output_node"):
+        return graph["output_node"]
+    sinks = [n["id"] for n in graph["nodes"] if not _successors(graph, n["id"])]
+    if len(sinks) == 1:
+        return sinks[0]
+    for s in sinks:
+        if _node_by_id(graph, s).get("type") == "reduce":
+            return s
+    if sinks:
+        return sinks[0]
+    return graph["nodes"][-1]["id"]
+
+
+def _assemble_node_input(query: str, upstream: str, is_entry: bool) -> str:
+    """入口节点直接吃用户原问题；下游节点综合原问题 + 上游输出。"""
+    if is_entry:
+        return query or ""
+    if upstream:
+        return f"原始用户问题:\n{query}\n\n上游节点输出:\n{upstream}"
+    return query or ""
+
+
+# ---------------------------------------------------------------------------
+# 模型解析 + LLM 调用原语
+# ---------------------------------------------------------------------------
+async def _resolve_model_and_endpoint(model_id, db):
+    from app.models import AIModel, ModelProvider
+    from ..capability_registry import resolve_auto_model
+
+    ai_model = None
+    if model_id and model_id != "auto":
+        ai_model = db.query(AIModel).filter(AIModel.id == model_id).first()
+    if not ai_model:
+        ai_model = resolve_auto_model("text", db)
+    if not ai_model:
+        raise OrchestrationError("无法解析到可用模型")
+    provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
+    api_key = ai_model.api_key or (provider.api_key if provider else None)
+    api_url = ai_model.endpoint
+    if not api_url and provider and provider.api_base_url:
+        api_url = f"{provider.api_base_url.rstrip('/')}/v1/chat/completions"
+    if not api_url or not api_key:
+        raise OrchestrationError(f"节点模型 {ai_model.name} 缺少 endpoint 或 api_key")
+    return ai_model, api_url, api_key
+
+
+async def _llm_complete(system_prompt: str, user_content: str, model_id, db, user_id) -> str:
+    from app.api.chat_utils import _proxy_for_url
+    from app.core.observability import span
+
+    ai_model, api_url, api_key = await _resolve_model_and_endpoint(model_id, db)
+    messages = [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": user_content},
+    ]
+    request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
+    async with span("orchestrator.llm", model=ai_model.id):
+        async with httpx.AsyncClient(
+            timeout=ai_model.timeout or 120,
+            proxy=_proxy_for_url(api_url),
+            trust_env=False,
+        ) as client:
+            resp = await client.post(
+                api_url,
+                headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
+                json=request_body,
+            )
+        if resp.status_code != 200:
+            raise OrchestrationError(f"LLM 调用失败 HTTP {resp.status_code}: {resp.text[:200]}")
+        data = resp.json()
+        return data["choices"][0]["message"].get("content") or ""
+
+
+# ---------------------------------------------------------------------------
+# local 节点：复用单 Agent system prompt + 受限 tool round + 3.1 沙箱
+# ---------------------------------------------------------------------------
+async def _run_local_agent_turn(agent: dict, node_input: str, db, user_id, conv_id) -> dict:
+    from app.api.chat_skill import _resolve_market_skills, _execute_skill_tool
+    from app.api.chat_context import _build_system_prompt, _retrieve_kb_context
+    from app.api.chat_service import _resolve_agent_tool_policy, _check_tool_policy
+    from app.api.chat_utils import _proxy_for_url
+
+    skills = _resolve_market_skills(db, agent.get("skill_ids") or [], user_id)
+    kb_context = _retrieve_kb_context(db, agent.get("knowledge_base_ids") or [], node_input)
+    system_prompt, function_definitions = _build_system_prompt(
+        skills=skills,
+        agents=[agent],
+        kb_context=kb_context,
+        user_content=node_input,
+        auto_discovered=False,
+    )
+    ai_model, api_url, api_key = await _resolve_model_and_endpoint(agent.get("model_id"), db)
+    tool_policy = _resolve_agent_tool_policy([agent])
+
+    messages = [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": node_input},
+    ]
+    called_skills: list = []
+    tool_call_count = 0
+    max_tool_rounds = 5
+    last_content = ""
+    async with httpx.AsyncClient(
+        timeout=ai_model.timeout or 120,
+        proxy=_proxy_for_url(api_url),
+        trust_env=False,
+    ) as client:
+        for round_num in range(max_tool_rounds):
+            request_body = {"model": ai_model.name, "messages": messages, "max_tokens": 2048}
+            if function_definitions:
+                request_body["tools"] = [
+                    {"type": "function", "function": fd} for fd in function_definitions
+                ]
+                request_body["tool_choice"] = "auto"
+            resp = await client.post(
+                api_url,
+                headers={"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"},
+                json=request_body,
+            )
+            if resp.status_code != 200:
+                raise OrchestrationError(f"local 节点 LLM 失败 HTTP {resp.status_code}: {resp.text[:200]}")
+            data = resp.json()
+            message = data["choices"][0]["message"]
+            tool_calls = message.get("tool_calls") or []
+            content = message.get("content") or ""
+            last_content = content
+            if not tool_calls or not function_definitions:
+                return {"text": content, "used_tools": called_skills}
+            messages.append({"role": "assistant", "content": content, "tool_calls": tool_calls})
+            round_tool_count = 0
+            for tc in tool_calls:
+                func_name = tc.get("function", {}).get("name", "")
+                check = _check_tool_policy(
+                    func_name, None, skills, tool_policy, tool_call_count, round_tool_count
+                )
+                if not check["allowed"]:
+                    messages.append({
+                        "role": "tool",
+                        "tool_call_id": tc.get("id", f"call_{round_num}"),
+                        "content": f"[工具调用已被策略拦截] {check.get('message', check.get('reason'))}",
+                    })
+                    tool_call_count += 1
+                    round_tool_count += 1
+                    continue
+                tool_call_count += 1
+                round_tool_count += 1
+                try:
+                    func_args = json.loads(tc.get("function", {}).get("arguments", "{}") or "{}")
+                except Exception:
+                    func_args = {}
+                res = _execute_skill_tool(db, func_name, func_args, skills, node_input)
+                called_skills.append(func_name)
+                messages.append({
+                    "role": "tool",
+                    "tool_call_id": tc.get("id", f"call_{round_num}"),
+                    "content": res,
+                })
+    return {"text": last_content, "used_tools": called_skills}
+
+
+# ---------------------------------------------------------------------------
+# 单节点执行（含独立 DB 会话，保证并发安全）
+# ---------------------------------------------------------------------------
+async def _run_node(node, graph, blackboard, query, user_id, conv_id, trace_id) -> dict:
+    from app.api.chat_skill import _resolve_market_agents
+    from app.database import SessionLocal
+
+    nid = node["id"]
+    ntype = node["type"]
+    preds = _predecessors(graph, nid)
+    pred_results = [blackboard[p] for p in preds]
+    is_entry = not preds
+
+    if pred_results:
+        parts = []
+        for b in pred_results:
+            label = f"节点 {b.get('node_id')}/{b.get('node_type')}"
+            if b.get("ok"):
+                parts.append(f"【{label}】\n{b.get('output', '')}")
+            else:
+                parts.append(f"【{label} 执行失败】\n错误: {b.get('error', '')}")
+        upstream = "\n\n".join(parts)
+    else:
+        upstream = ""
+
+    with SessionLocal() as db:
+        if ntype in ("llm", "reduce"):
+            if ntype == "llm":
+                sys_prompt = node.get("system_prompt") or (
+                    "你是一个处理节点，请根据上游输入完成指定的文本变换、摘要或路由判断，"
+                    "只输出处理后的结果，不要多余解释。"
+                )
+            else:
+                sys_prompt = node.get("system_prompt") or (
+                    "你是一个结果汇总器，请将多个子任务的输出综合成连贯、完整、面向用户的最终回答。"
+                )
+            uc = _assemble_node_input(query, upstream, is_entry)
+            text = await _llm_complete(sys_prompt, uc, node.get("model_id"), db, user_id)
+            return {"ok": True, "node_id": nid, "node_type": ntype, "output": text}
+
+        if ntype == "local":
+            agents = _resolve_market_agents(db, [node["agent_id"]], user_id)
+            if not agents:
+                raise OrchestrationError(f"local 节点 {nid} 引用的 agent_id={node['agent_id']} 不存在")
+            ni = _assemble_node_input(query, upstream, is_entry)
+            res = await _run_local_agent_turn(agents[0], ni, db, user_id, conv_id)
+            return {
+                "ok": True,
+                "node_id": nid,
+                "node_type": "local",
+                "output": res["text"],
+                "used_tools": res.get("used_tools"),
+            }
+
+        if ntype == "external":
+            from app.api.chat_agents import _call_external_agent
+
+            agents = _resolve_market_agents(db, [node["agent_id"]], user_id)
+            if not agents:
+                raise OrchestrationError(f"external 节点 {nid} 引用的 agent_id={node['agent_id']} 不存在")
+            ni = _assemble_node_input(query, upstream, is_entry)
+            answer, _ = await _call_external_agent(
+                db, agents[0], query=ni, user_id=user_id, ext_conversation_id=None, history=[]
+            )
+            return {"ok": True, "node_id": nid, "node_type": "external", "output": answer or ""}
+
+    raise OrchestrationError(f"未知节点类型 {ntype}")
+
+
+# ---------------------------------------------------------------------------
+# 入口
+# ---------------------------------------------------------------------------
+async def run_graph(graph, query, db, user_id, conv_id, trace_id=None):
+    """执行编排图，返回 (answer: str, trace: dict)。
+
+    - 拓扑分层后逐层 asyncio.gather 并行执行。
+    - 节点异常按 on_error=halt|continue 处理（默认 continue，失败时下游拿到错误作为输入）。
+    """
+    validate_graph(graph)
+    layers = topological_layers(graph)
+    blackboard: dict = {}
+    trace = {"nodes": [], "trace_id": trace_id, "layers": layers}
+
+    for layer in layers:
+        tasks = [
+            _run_node(_node_by_id(graph, nid), graph, blackboard, query, user_id, conv_id, trace_id)
+            for nid in layer
+        ]
+        results = await asyncio.gather(*tasks, return_exceptions=True)
+        for nid, res in zip(layer, results):
+            node = _node_by_id(graph, nid)
+            if isinstance(res, Exception):
+                on_error = node.get("on_error", "continue")
+                err_msg = str(res)
+                blackboard[nid] = {
+                    "ok": False,
+                    "node_id": nid,
+                    "node_type": node["type"],
+                    "error": err_msg,
+                }
+                trace["nodes"].append({"id": nid, "type": node["type"], "ok": False, "error": err_msg})
+                logger.warning(f"[orchestrator] 节点 {nid} 失败 on_error={on_error}: {err_msg}")
+                if on_error == "halt":
+                    raise OrchestrationError(f"节点 {nid} 执行失败(halt): {err_msg}")
+            else:
+                blackboard[nid] = res
+                trace["nodes"].append({
+                    "id": nid,
+                    "type": res.get("node_type"),
+                    "ok": True,
+                    "used_tools": res.get("used_tools"),
+                })
+
+    output_node = _find_output_node(graph)
+    final = blackboard.get(output_node, {})
+    if final.get("ok"):
+        answer = final.get("output", "")
+    else:
+        answer = f"⚠️ 编排输出节点 {output_node} 执行失败: {final.get('error', '未知错误')}"
+    trace["output_node"] = output_node
+    return answer, trace

backend/python/main.py

@@ -1,249 +1,250 @@
-"""
-Qihu-AIFlow FastAPI 主应用
-完整后端API，监听18080端口，所有接口以 /app 为前缀
-"""
-import sys
-import os
-import time
-import uuid
-import logging
-from contextlib import asynccontextmanager
-from fastapi import FastAPI, Request
-from fastapi.middleware.cors import CORSMiddleware
-from starlette.middleware.base import BaseHTTPMiddleware
-from datetime import datetime
-
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from app.api import auth, chat, knowledge, market, token_usage, payment, profile, notifications, assets, evolution
-from app.casdoor_auth import router as casdoor_router
-from app.api.admin import dashboard, users, models, settings, payment_admin, services, membership_admin, ads, market_admin, logs, skills_admin, agents_admin, knowledge_admin, workflow_admin, storage_admin, automation_admin, mcp_admin, developer_admin, apps_admin, distro_admin, code_exec_admin, privacy_admin, im_bot_admin, promotion_admin, achievement_admin, tenant_admin, billing_admin, analytics_admin
-from app.api.im_bot_user import router as im_bot_user_router
-from app.api.im_bot_platform import router as im_bot_platform_router
-from app.api.portal import user_portal
-from app.api.admin.developer_tools_admin import router as developer_tools_router
-from app.api.admin.mcp_market_admin import router as mcp_market_router
-from app.api.admin import asset_admin, achievement_admin
-from app.config import setup_file_logging, SLOW_REQUEST_THRESHOLD
-from app.core.observability import set_trace_id
-from app.database import SessionLocal
-from app.models import OperationLog as OperationLogModel, TokenUsageLog as TokenUsageLogModel
-
-# 导入平台适配器触发注册（AstrBot借鉴优化方案 P1）
-import app.platform_adapters  # noqa: F401 - 触发所有平台适配器装饰器注册
-
-# 初始化文件日志（按天轮转）
-access_logger = setup_file_logging()
-logger = logging.getLogger("aiflow")
-
-
-class APITrackingMiddleware(BaseHTTPMiddleware):
-    """API调用统计中间件 - 记录请求耗时，标记慢请求"""
-
-    async def dispatch(self, request: Request, call_next):
-        request_id = str(uuid.uuid4())
-        set_trace_id(request_id)
-        start_time = time.time()
-        path = request.url.path
-        method = request.method
-
-        # 跳过健康检查和静态资源
-        skip_paths = ["/app/api/health", "/favicon.ico"]
-        should_skip = any(path.startswith(p) for p in skip_paths)
-
-        try:
-            response = await call_next(request)
-            elapsed = time.time() - start_time
-            status_code = response.status_code
-            response.headers["X-Trace-Id"] = request_id
-
-            if not should_skip:
-                access_logger.info(
-                    f"[{request_id}] {method} {path} -> {status_code} ({elapsed:.3f}s)"
-                )
-
-                # 异步记录API调用统计
-                try:
-                    db = SessionLocal()
-                    try:
-                        _record_api_call(db, method, path, status_code, elapsed)
-                    finally:
-                        db.close()
-                except Exception as e:
-                    logger.warning(f"API统计记录失败: {e}")
-
-            return response
-        except Exception as e:
-            elapsed = time.time() - start_time
-            if not should_skip:
-                access_logger.info(
-                    f"[{request_id}] {method} {path} -> ERROR ({elapsed:.3f}s): {str(e)}"
-                )
-            raise
-
-    async def __call__(self, scope, receive, send):
-        if scope["type"] != "http":
-            await self.app(scope, receive, send)
-            return
-        await super().__call__(scope, receive, send)
-
-
-def _record_api_call(db, method: str, path: str, status_code: int, elapsed: float):
-    """记录API调用到数据库统计表"""
-    # 简化路径以减少基数（去掉动态ID）
-    parts = path.split("/")
-    simplified_parts = []
-    for part in parts:
-        # 将UUID样式的路径段替换为{id}
-        if len(part) == 36 and part.count("-") == 4:
-            simplified_parts.append("{id}")
-        # 将纯数字路径段替换为{id}
-        elif part.isdigit():
-            simplified_parts.append("{id}")
-        else:
-            simplified_parts.append(part)
-    simplified_path = "/".join(simplified_parts)
-
-    # 统计记录通过数据库实现，简化版记录到日志
-    is_error = status_code >= 400
-    is_slow = elapsed >= SLOW_REQUEST_THRESHOLD
-
-    if is_slow:
-        logger.warning(
-            f"慢请求: {method} {simplified_path} -> {status_code} ({elapsed:.3f}s, 阈值: {SLOW_REQUEST_THRESHOLD}s)"
-        )
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    logger.info("Qihu-AIFlow v2.0.0 启动中...")
-
-    # 启动后台 Evolution Pipeline（知识库图谱已存在的用户配置自动恢复运行）
-    try:
-        from app.services.evolution_service import EvolutionWatcherManager
-        from app.models import UserEvolutionConfig
-        db = SessionLocal()
-        try:
-            configs = db.query(UserEvolutionConfig).filter(
-                UserEvolutionConfig.watcher_status == "running"
-            ).all()
-            if configs:
-                watcher = EvolutionWatcherManager()
-                for cfg in configs:
-                    try:
-                        watcher.start_user_evolution(cfg.user_id, lambda: SessionLocal())
-                        logger.info(f"[Evolution] 恢复用户 {cfg.user_id} 的进化Pipeline")
-                    except Exception as e:
-                        logger.warning(f"[Evolution] 恢复用户 {cfg.user_id} 失败: {e}")
-                logger.info(f"[Evolution] 已恢复 {len(configs)} 个用户的进化Pipeline")
-            else:
-                logger.info("[Evolution] 无待恢复的进化配置")
-        finally:
-            db.close()
-    except Exception as e:
-        logger.warning(f"[Evolution] Pipeline自动启动异常(不影响正常服务): {e}")
-
-    # 启动Redis事件总线
-    try:
-        from app.event_bus import get_event_bus
-        event_bus = get_event_bus()
-        event_bus.start(num_consumers=2)
-        logger.info("[EventBus] Redis事件总线已启动")
-    except Exception as e:
-        logger.warning(f"[EventBus] 启动失败(不影响正常服务): {e}")
-
-    logger.info("Qihu-AIFlow v2.0.0 启动完成")
-
-    yield
-
-    # 停止Redis事件总线
-    try:
-        from app.event_bus import get_event_bus
-        get_event_bus().stop()
-        logger.info("[EventBus] Redis事件总线已停止")
-    except Exception:
-        pass
-
-    # 优雅关闭：停止所有 Evolution Pipeline
-    try:
-        from app.services.evolution_service import EvolutionWatcherManager
-        EvolutionWatcherManager().shutdown_all()
-        logger.info("[Evolution] 所有Pipeline已停止")
-    except Exception:
-        pass
-
-    logger.info("Qihu-AIFlow 正在关闭...")
-
-
-app = FastAPI(
-    title="Qihu-AIFlow - 智能自动化PaaS平台",
-    version="1.0.0",
-    lifespan=lifespan,
-)
-
-# API调用追踪中间件
-app.add_middleware(APITrackingMiddleware)
-
-# CORS配置
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-# 前台 API
-app.include_router(auth.router, prefix="/app/api/auth", tags=["认证"])
-app.include_router(chat.router, prefix="/app/api/chat", tags=["AI聊天"])
-app.include_router(knowledge.router, prefix="/app/api/knowledge", tags=["知识库"])
-app.include_router(market.router, prefix="/app/api/market", tags=["应用市场"])
-app.include_router(token_usage.router, prefix="/app/api/token", tags=["Token驾驶舱"])
-app.include_router(payment.router, prefix="/app/api/payment", tags=["付费中心"])
-app.include_router(profile.router, prefix="/app/api/profile", tags=["个人中心"])
-app.include_router(notifications.router, prefix="/app/api/notifications", tags=["消息通知"])
-app.include_router(assets.router, prefix="/app/api/assets", tags=["资产管理"])
-app.include_router(evolution.router, prefix="/app/api/evolution", tags=["AI自进化"])
-
-# 后台 API
-app.include_router(dashboard.router, prefix="/app/api/admin/dashboard", tags=["后台-仪表盘"])
-app.include_router(users.router, prefix="/app/api/admin/users", tags=["后台-用户管理"])
-app.include_router(models.router, prefix="/app/api/admin/models", tags=["后台-模型管理"])
-app.include_router(settings.router, prefix="/app/api/admin/settings", tags=["后台-网站设置"])
-app.include_router(payment_admin.router, prefix="/app/api/admin/payment", tags=["后台-支付配置"])
-app.include_router(services.router, prefix="/app/api/admin/services", tags=["后台-增值服务"])
-app.include_router(membership_admin.router, prefix="/app/api/admin/membership", tags=["后台-会员管理"])
-app.include_router(ads.router, prefix="/app/api/admin/ads", tags=["后台-广告管理"])
-app.include_router(market_admin.router, prefix="/app/api/admin/market", tags=["后台-应用审核"])
-app.include_router(logs.router, prefix="/app/api/admin/logs", tags=["后台-日志风控"])
-
-app.include_router(skills_admin.router, prefix="/app/api/admin/skills", tags=["后台-技能管理"])
-app.include_router(agents_admin.router, prefix="/app/api/admin/agents", tags=["后台-Agent管理"])
-app.include_router(knowledge_admin.router, prefix="/app/api/admin/knowledge", tags=["后台-知识库管理"])
-app.include_router(workflow_admin.router, prefix="/app/api/admin/workflows", tags=["后台-工作流编排"])
-app.include_router(asset_admin.router, prefix="/app/api/admin/assets", tags=["后台-资产管理"])
-app.include_router(storage_admin.router, prefix="/app/api/admin/storage", tags=["后台-存储配置"])
-app.include_router(automation_admin.router, prefix="/app/api/admin/automation", tags=["后台-自动化任务"])
-app.include_router(mcp_admin.router, prefix="/app/api/admin/mcp", tags=["后台-MCP服务"])
-app.include_router(developer_admin.router, prefix="/app/api/admin/developer", tags=["后台-开发者API"])
-app.include_router(developer_tools_router, prefix="/app/api/admin/developer-tools", tags=["dev-tools"])
-app.include_router(apps_admin.router, prefix="/app/api/admin/apps", tags=["admin-ai-apps"])
-app.include_router(mcp_market_router, prefix="/app/api/admin/mcp-market", tags=["mcp-market"])
-app.include_router(code_exec_admin.router, prefix="/app/api/admin/code-exec", tags=["code-exec"])
-app.include_router(distro_admin.router, prefix="/app/api/admin/distributions", tags=["distributions"])
-app.include_router(privacy_admin.router, prefix="/app/api/admin/privacy", tags=["privacy"])
-app.include_router(im_bot_admin.router, prefix="/app/api/admin/im-bot", tags=["im-bot"])
-app.include_router(im_bot_user_router, prefix="/app/api/im/wechat", tags=["im-wechat-user"])
-app.include_router(im_bot_platform_router, prefix="/app/api/im/platform", tags=["im-platform-user"])
-app.include_router(promotion_admin.router, prefix="/app/api/admin/promotion", tags=["promotion"])
-app.include_router(tenant_admin.router, prefix="/app/api/admin/tenant", tags=["tenant"])
-app.include_router(billing_admin.router, prefix="/app/api/admin/billing", tags=["billing"])
-app.include_router(analytics_admin.router, prefix="/app/api/admin/analytics", tags=["analytics"])
-app.include_router(user_portal.router, prefix="/app/api/portal", tags=["portal"])
-app.include_router(achievement_admin.router, prefix="/app/api/admin/achievement", tags=["achievement"])
-app.include_router(casdoor_router, prefix="/app/api/auth", tags=["Casdoor SSO"])
-
-
-@app.get("/app/api/health")
-async def health_check():
-    return {"status": "ok", "service": "Qihu-AIFlow"}
+"""
+Qihu-AIFlow FastAPI 主应用
+完整后端API，监听18080端口，所有接口以 /app 为前缀
+"""
+import sys
+import os
+import time
+import uuid
+import logging
+from contextlib import asynccontextmanager
+from fastapi import FastAPI, Request
+from fastapi.middleware.cors import CORSMiddleware
+from starlette.middleware.base import BaseHTTPMiddleware
+from datetime import datetime
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+
+from app.api import auth, chat, knowledge, market, token_usage, payment, profile, notifications, assets, evolution
+from app.casdoor_auth import router as casdoor_router
+from app.api.admin import dashboard, users, models, settings, payment_admin, services, membership_admin, ads, market_admin, logs, skills_admin, agents_admin, knowledge_admin, workflow_admin, storage_admin, automation_admin, mcp_admin, developer_admin, apps_admin, distro_admin, code_exec_admin, privacy_admin, im_bot_admin, promotion_admin, achievement_admin, tenant_admin, billing_admin, analytics_admin, observability_admin
+from app.api.im_bot_user import router as im_bot_user_router
+from app.api.im_bot_platform import router as im_bot_platform_router
+from app.api.portal import user_portal
+from app.api.admin.developer_tools_admin import router as developer_tools_router
+from app.api.admin.mcp_market_admin import router as mcp_market_router
+from app.api.admin import asset_admin, achievement_admin
+from app.config import setup_file_logging, SLOW_REQUEST_THRESHOLD
+from app.core.observability import set_trace_id
+from app.database import SessionLocal
+from app.models import OperationLog as OperationLogModel, TokenUsageLog as TokenUsageLogModel
+
+# 导入平台适配器触发注册（AstrBot借鉴优化方案 P1）
+import app.platform_adapters  # noqa: F401 - 触发所有平台适配器装饰器注册
+
+# 初始化文件日志（按天轮转）
+access_logger = setup_file_logging()
+logger = logging.getLogger("aiflow")
+
+
+class APITrackingMiddleware(BaseHTTPMiddleware):
+    """API调用统计中间件 - 记录请求耗时，标记慢请求"""
+
+    async def dispatch(self, request: Request, call_next):
+        request_id = str(uuid.uuid4())
+        set_trace_id(request_id)
+        start_time = time.time()
+        path = request.url.path
+        method = request.method
+
+        # 跳过健康检查和静态资源
+        skip_paths = ["/app/api/health", "/favicon.ico"]
+        should_skip = any(path.startswith(p) for p in skip_paths)
+
+        try:
+            response = await call_next(request)
+            elapsed = time.time() - start_time
+            status_code = response.status_code
+            response.headers["X-Trace-Id"] = request_id
+
+            if not should_skip:
+                access_logger.info(
+                    f"[{request_id}] {method} {path} -> {status_code} ({elapsed:.3f}s)"
+                )
+
+                # 异步记录API调用统计
+                try:
+                    db = SessionLocal()
+                    try:
+                        _record_api_call(db, method, path, status_code, elapsed)
+                    finally:
+                        db.close()
+                except Exception as e:
+                    logger.warning(f"API统计记录失败: {e}")
+
+            return response
+        except Exception as e:
+            elapsed = time.time() - start_time
+            if not should_skip:
+                access_logger.info(
+                    f"[{request_id}] {method} {path} -> ERROR ({elapsed:.3f}s): {str(e)}"
+                )
+            raise
+
+    async def __call__(self, scope, receive, send):
+        if scope["type"] != "http":
+            await self.app(scope, receive, send)
+            return
+        await super().__call__(scope, receive, send)
+
+
+def _record_api_call(db, method: str, path: str, status_code: int, elapsed: float):
+    """记录API调用到数据库统计表"""
+    # 简化路径以减少基数（去掉动态ID）
+    parts = path.split("/")
+    simplified_parts = []
+    for part in parts:
+        # 将UUID样式的路径段替换为{id}
+        if len(part) == 36 and part.count("-") == 4:
+            simplified_parts.append("{id}")
+        # 将纯数字路径段替换为{id}
+        elif part.isdigit():
+            simplified_parts.append("{id}")
+        else:
+            simplified_parts.append(part)
+    simplified_path = "/".join(simplified_parts)
+
+    # 统计记录通过数据库实现，简化版记录到日志
+    is_error = status_code >= 400
+    is_slow = elapsed >= SLOW_REQUEST_THRESHOLD
+
+    if is_slow:
+        logger.warning(
+            f"慢请求: {method} {simplified_path} -> {status_code} ({elapsed:.3f}s, 阈值: {SLOW_REQUEST_THRESHOLD}s)"
+        )
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    logger.info("Qihu-AIFlow v2.0.0 启动中...")
+
+    # 启动后台 Evolution Pipeline（知识库图谱已存在的用户配置自动恢复运行）
+    try:
+        from app.services.evolution_service import EvolutionWatcherManager
+        from app.models import UserEvolutionConfig
+        db = SessionLocal()
+        try:
+            configs = db.query(UserEvolutionConfig).filter(
+                UserEvolutionConfig.watcher_status == "running"
+            ).all()
+            if configs:
+                watcher = EvolutionWatcherManager()
+                for cfg in configs:
+                    try:
+                        watcher.start_user_evolution(cfg.user_id, lambda: SessionLocal())
+                        logger.info(f"[Evolution] 恢复用户 {cfg.user_id} 的进化Pipeline")
+                    except Exception as e:
+                        logger.warning(f"[Evolution] 恢复用户 {cfg.user_id} 失败: {e}")
+                logger.info(f"[Evolution] 已恢复 {len(configs)} 个用户的进化Pipeline")
+            else:
+                logger.info("[Evolution] 无待恢复的进化配置")
+        finally:
+            db.close()
+    except Exception as e:
+        logger.warning(f"[Evolution] Pipeline自动启动异常(不影响正常服务): {e}")
+
+    # 启动Redis事件总线
+    try:
+        from app.event_bus import get_event_bus
+        event_bus = get_event_bus()
+        event_bus.start(num_consumers=2)
+        logger.info("[EventBus] Redis事件总线已启动")
+    except Exception as e:
+        logger.warning(f"[EventBus] 启动失败(不影响正常服务): {e}")
+
+    logger.info("Qihu-AIFlow v2.0.0 启动完成")
+
+    yield
+
+    # 停止Redis事件总线
+    try:
+        from app.event_bus import get_event_bus
+        get_event_bus().stop()
+        logger.info("[EventBus] Redis事件总线已停止")
+    except Exception:
+        pass
+
+    # 优雅关闭：停止所有 Evolution Pipeline
+    try:
+        from app.services.evolution_service import EvolutionWatcherManager
+        EvolutionWatcherManager().shutdown_all()
+        logger.info("[Evolution] 所有Pipeline已停止")
+    except Exception:
+        pass
+
+    logger.info("Qihu-AIFlow 正在关闭...")
+
+
+app = FastAPI(
+    title="Qihu-AIFlow - 智能自动化PaaS平台",
+    version="1.0.0",
+    lifespan=lifespan,
+)
+
+# API调用追踪中间件
+app.add_middleware(APITrackingMiddleware)
+
+# CORS配置
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# 前台 API
+app.include_router(auth.router, prefix="/app/api/auth", tags=["认证"])
+app.include_router(chat.router, prefix="/app/api/chat", tags=["AI聊天"])
+app.include_router(knowledge.router, prefix="/app/api/knowledge", tags=["知识库"])
+app.include_router(market.router, prefix="/app/api/market", tags=["应用市场"])
+app.include_router(token_usage.router, prefix="/app/api/token", tags=["Token驾驶舱"])
+app.include_router(payment.router, prefix="/app/api/payment", tags=["付费中心"])
+app.include_router(profile.router, prefix="/app/api/profile", tags=["个人中心"])
+app.include_router(notifications.router, prefix="/app/api/notifications", tags=["消息通知"])
+app.include_router(assets.router, prefix="/app/api/assets", tags=["资产管理"])
+app.include_router(evolution.router, prefix="/app/api/evolution", tags=["AI自进化"])
+
+# 后台 API
+app.include_router(dashboard.router, prefix="/app/api/admin/dashboard", tags=["后台-仪表盘"])
+app.include_router(users.router, prefix="/app/api/admin/users", tags=["后台-用户管理"])
+app.include_router(models.router, prefix="/app/api/admin/models", tags=["后台-模型管理"])
+app.include_router(settings.router, prefix="/app/api/admin/settings", tags=["后台-网站设置"])
+app.include_router(payment_admin.router, prefix="/app/api/admin/payment", tags=["后台-支付配置"])
+app.include_router(services.router, prefix="/app/api/admin/services", tags=["后台-增值服务"])
+app.include_router(membership_admin.router, prefix="/app/api/admin/membership", tags=["后台-会员管理"])
+app.include_router(ads.router, prefix="/app/api/admin/ads", tags=["后台-广告管理"])
+app.include_router(market_admin.router, prefix="/app/api/admin/market", tags=["后台-应用审核"])
+app.include_router(logs.router, prefix="/app/api/admin/logs", tags=["后台-日志风控"])
+
+app.include_router(skills_admin.router, prefix="/app/api/admin/skills", tags=["后台-技能管理"])
+app.include_router(agents_admin.router, prefix="/app/api/admin/agents", tags=["后台-Agent管理"])
+app.include_router(knowledge_admin.router, prefix="/app/api/admin/knowledge", tags=["后台-知识库管理"])
+app.include_router(workflow_admin.router, prefix="/app/api/admin/workflows", tags=["后台-工作流编排"])
+app.include_router(asset_admin.router, prefix="/app/api/admin/assets", tags=["后台-资产管理"])
+app.include_router(storage_admin.router, prefix="/app/api/admin/storage", tags=["后台-存储配置"])
+app.include_router(automation_admin.router, prefix="/app/api/admin/automation", tags=["后台-自动化任务"])
+app.include_router(mcp_admin.router, prefix="/app/api/admin/mcp", tags=["后台-MCP服务"])
+app.include_router(developer_admin.router, prefix="/app/api/admin/developer", tags=["后台-开发者API"])
+app.include_router(developer_tools_router, prefix="/app/api/admin/developer-tools", tags=["dev-tools"])
+app.include_router(apps_admin.router, prefix="/app/api/admin/apps", tags=["admin-ai-apps"])
+app.include_router(mcp_market_router, prefix="/app/api/admin/mcp-market", tags=["mcp-market"])
+app.include_router(code_exec_admin.router, prefix="/app/api/admin/code-exec", tags=["code-exec"])
+app.include_router(distro_admin.router, prefix="/app/api/admin/distributions", tags=["distributions"])
+app.include_router(privacy_admin.router, prefix="/app/api/admin/privacy", tags=["privacy"])
+app.include_router(im_bot_admin.router, prefix="/app/api/admin/im-bot", tags=["im-bot"])
+app.include_router(im_bot_user_router, prefix="/app/api/im/wechat", tags=["im-wechat-user"])
+app.include_router(im_bot_platform_router, prefix="/app/api/im/platform", tags=["im-platform-user"])
+app.include_router(promotion_admin.router, prefix="/app/api/admin/promotion", tags=["promotion"])
+app.include_router(tenant_admin.router, prefix="/app/api/admin/tenant", tags=["tenant"])
+app.include_router(billing_admin.router, prefix="/app/api/admin/billing", tags=["billing"])
+app.include_router(analytics_admin.router, prefix="/app/api/admin/analytics", tags=["analytics"])
+app.include_router(observability_admin.router, prefix="/app/api/admin/observability", tags=["后台-调用可观测"])
+app.include_router(user_portal.router, prefix="/app/api/portal", tags=["portal"])
+app.include_router(achievement_admin.router, prefix="/app/api/admin/achievement", tags=["achievement"])
+app.include_router(casdoor_router, prefix="/app/api/auth", tags=["Casdoor SSO"])
+
+
+@app.get("/app/api/health")
+async def health_check():
+    return {"status": "ok", "service": "Qihu-AIFlow"}

backend/python/tests/test_context_engine.py

@@ -0,0 +1,114 @@
+"""Phase 2 context-engine regression: _build_chat_history budget/layering/summary.
+
+Pure unit test with a fake DB session — no network, no real model. Guards the
+layered-memory + compression + isolation behaviour against regressions.
+"""
+from app.api.chat_context import _estimate_tokens, _build_chat_history
+
+
+class _Msg:
+    def __init__(self, role, content, cid="c1"):
+        self.role = role
+        self.content = content
+        self.conversation_id = cid
+
+
+class _Summary:
+    def __init__(self, text):
+        self.summary_text = text
+
+
+class _Query:
+    def __init__(self, rows):
+        self._rows = list(rows)
+
+    def filter(self, *a, **k):
+        return self
+
+    def order_by(self, *a, **k):
+        # test pre-sorts newest-first to match desc(created_at)
+        return self
+
+    def limit(self, n=None):
+        return self
+
+    def all(self):
+        return self._rows
+
+    def first(self):
+        return self._rows[0] if self._rows else None
+
+
+class _DB:
+    def __init__(self, messages, summary=None):
+        self._messages = messages
+        self._summary = summary
+
+    def query(self, model):
+        if getattr(model, "__name__", "") == "ConversationSummary":
+            return _Query([self._summary] if self._summary else [])
+        return _Query(self._messages)
+
+
+def _newest_first(msgs):
+    # _build_chat_history expects desc(created_at) -> newest first.
+    # Test authors write the list already newest-first, so return as-is.
+    return list(msgs)
+
+
+def test_estimate_tokens():
+    assert _estimate_tokens("") == 0
+    assert _estimate_tokens(None) == 0
+    assert _estimate_tokens("abcd") == 2  # 4//2
+    assert _estimate_tokens("a" * 5) == 2  # max(1, 5//2)=2
+    # just ensure positive monotonic
+    assert _estimate_tokens("x" * 100) == 50
+
+
+def test_history_excludes_latest_user():
+    # newest-first: [current user, prev assistant, older user]
+    msgs = _newest_first([
+        _Msg("user", "current question"),
+        _Msg("assistant", "previous answer"),
+        _Msg("user", "older question"),
+    ])
+    db = _DB(msgs)
+    out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
+    roles = [m["role"] for m in out]
+    # current user dropped; chronological order = [older user, previous assistant]
+    assert roles == ["user", "assistant"]
+    assert out[0]["content"] == "older question"
+
+
+def test_summary_injected_as_system_first():
+    msgs = _newest_first([
+        _Msg("user", "hi"),
+        _Msg("assistant", "hello"),
+    ])
+    db = _DB(msgs, summary=_Summary("用户想做图片生成"))
+    out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
+    assert out[0]["role"] == "system"
+    assert out[0]["content"].startswith("【对话历史摘要")
+    assert "用户想做图片生成" in out[0]["content"]
+    # after summary: chronological history (assistant then user 'hi' excluded? exclude_latest_user drops 'hi')
+    assert out[1]["role"] == "assistant"
+
+
+def test_budget_truncation():
+    # 5 assistant messages each ~200 tokens; budget small -> truncated
+    msgs = _newest_first([_Msg("assistant", "x" * 400) for _ in range(5)])
+    db = _DB(msgs)
+    out = _build_chat_history(db, "c1", max_tokens=500, exclude_latest_user=False)
+    # each msg ~200 tokens; budget 500 -> keep newest ~2
+    assert len(out) <= 3
+    total = sum(_estimate_tokens(m["content"]) for m in out)
+    assert total <= 500 + 200  # within budget (+1 msg slack)
+
+
+def test_no_summary_when_absent():
+    msgs = _newest_first([_Msg("user", "hi"), _Msg("assistant", "hello")])
+    db = _DB(msgs)
+    out = _build_chat_history(db, "c1", max_tokens=10000, exclude_latest_user=True)
+    # 'hi' excluded; only assistant remains, no system summary
+    assert all(m["role"] != "system" for m in out)
+    assert [m["role"] for m in out] == ["assistant"]

frontend/src/App.tsx

@@ -1,175 +1,177 @@
-import React, { useState, useEffect, Suspense } from 'react';
-import { Routes, Route, Navigate } from 'react-router-dom';
-import type { User } from '@/types';
-import { AuthContext, AuthContextType } from '@/contexts/AuthContext';
-import { authAPI } from '@/api';
-
-// Layouts（保留为即时加载，构成应用外壳）
-import FrontLayout from '@/components/layout/FrontLayout';
-import AdminLayout from '@/components/layout/AdminLayout';
-
-// 路由级代码分割：每个页面独立打包成 chunk，首屏只加载外壳与公共依赖，
-// 访问具体页面时才按需加载对应 chunk，显著加快首屏渲染与路由切换速度。
-const LandingPage = React.lazy(() => import('@/pages/front/LandingPage'));
-const LoginPage = React.lazy(() => import('@/pages/front/LoginPage'));
-const ChatPage = React.lazy(() => import('@/pages/front/ChatPage'));
-const KnowledgePage = React.lazy(() => import('@/pages/front/KnowledgePage'));
-const MarketPage = React.lazy(() => import('@/pages/front/MarketPage'));
-const TokenDashboardPage = React.lazy(() => import('@/pages/front/TokenDashboardPage'));
-const PricingPage = React.lazy(() => import('@/pages/front/PricingPage'));
-const ProfilePage = React.lazy(() => import('@/pages/front/ProfilePage'));
-const NotificationPage = React.lazy(() => import('@/pages/front/NotificationPage'));
-const AssetsPage = React.lazy(() => import('@/pages/front/AssetsPage'));
-const NovelPreviewPage = React.lazy(() => import('@/pages/front/NovelPreviewPage'));
-const EvolutionDashboard = React.lazy(() => import('@/pages/front/EvolutionDashboard'));
-
-const AdminDashboard = React.lazy(() => import('@/pages/admin/Dashboard'));
-const AdminUsers = React.lazy(() => import('@/pages/admin/Users'));
-const AdminModels = React.lazy(() => import('@/pages/admin/Models'));
-const AdminSiteSettings = React.lazy(() => import('@/pages/admin/SiteSettings'));
-const AdminSmsConfig = React.lazy(() => import('@/pages/admin/SmsConfig'));
-const AdminPayment = React.lazy(() => import('@/pages/admin/Payment'));
-const AdminServices = React.lazy(() => import('@/pages/admin/Services'));
-const AdminMembership = React.lazy(() => import('@/pages/admin/Membership'));
-const AdminAds = React.lazy(() => import('@/pages/admin/Ads'));
-const AdminMarket = React.lazy(() => import('@/pages/admin/Market'));
-const AdminLogs = React.lazy(() => import('@/pages/admin/Logs'));
-const AdminSkills = React.lazy(() => import('@/pages/admin/Skills'));
-const AdminAgents = React.lazy(() => import('@/pages/admin/Agents'));
-const AdminCodeExec = React.lazy(() => import('@/pages/admin/CodeExec'));
-const DistributionBuilder = React.lazy(() => import('@/pages/admin/DistributionBuilder'));
-const ImBots = React.lazy(() => import('@/pages/admin/ImBots'));
-const PrivacySettings = React.lazy(() => import('@/pages/admin/PrivacySettings'));
-const Promotion = React.lazy(() => import('@/pages/admin/Promotion'));
-const Achievement = React.lazy(() => import('@/pages/admin/Achievement'));
-const Tenant = React.lazy(() => import('@/pages/admin/Tenant'));
-const Billing = React.lazy(() => import('@/pages/admin/Billing'));
-const Analytics = React.lazy(() => import('@/pages/admin/Analytics'));
-const AdminKnowledge = React.lazy(() => import('@/pages/admin/Knowledge'));
-const AdminWorkflow = React.lazy(() => import('@/pages/admin/Workflow'));
-const AdminStorage = React.lazy(() => import('@/pages/admin/Storage'));
-const AdminDeveloper = React.lazy(() => import('@/pages/admin/Developer'));
-const AdminDeveloperTools = React.lazy(() => import('@/pages/admin/DeveloperTools'));
-const AdminAutomation = React.lazy(() => import('@/pages/admin/Automation'));
-const AdminMcp = React.lazy(() => import('@/pages/admin/Mcp'));
-const AdminApps = React.lazy(() => import('@/pages/admin/Apps'));
-const AssetCenter = React.lazy(() => import('@/pages/admin/AssetCenter'));
-const UserPortal = React.lazy(() => import('@/pages/UserPortal'));
-const WechatBot = React.lazy(() => import('@/pages/front/WechatBot'));
-const ImBotHub = React.lazy(() => import('@/pages/front/ImBotHub'));
-const AppServices = React.lazy(() => import('@/pages/front/AppServices'));
-
-const pageFallback = <div className="loading-screen">加载中...</div>;
-
-const App: React.FC = () => {
-  const [user, setUser] = useState<User | null>(null);
-  const [loading, setLoading] = useState(true);
-
-  // 初始化：从localStorage恢复登录状态
-  useEffect(() => {
-    const token = localStorage.getItem('aiflow_token');
-    const cachedUser = localStorage.getItem('aiflow_user');
-    if (token && cachedUser) {
-      try {
-        setUser(JSON.parse(cachedUser));
-      } catch {
-        localStorage.removeItem('aiflow_token');
-        localStorage.removeItem('aiflow_user');
-      }
-    }
-    setLoading(false);
-  }, []);
-
-  const login = (u: User) => {
-    setUser(u);
-    localStorage.setItem('aiflow_user', JSON.stringify(u));
-  };
-  const logout = () => {
-    setUser(null);
-    localStorage.removeItem('aiflow_token');
-    localStorage.removeItem('aiflow_user');
-  };
-  const isAdmin = user?.role === 'admin';
-
-  if (loading) {
-    return <div className="loading-screen">加载中...</div>;
-  }
-
-  return (
-    <AuthContext.Provider value={{ user, login, logout, isAdmin }}>
-      <Suspense fallback={pageFallback}>
-        <Routes>
-          {/* Login */}
-          <Route path="/login" element={
-            user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LoginPage />
-          } />
-
-          {/* Root - Landing for guests, redirect for authenticated users */}
-          <Route path="/" element={
-            user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LandingPage />
-          } />
-
-          {/* Front Routes (authenticated only) */}
-          <Route path="/" element={<FrontLayout />}>
-            <Route path="chat" element={<ChatPage />} />
-            <Route path="chat/:id" element={<ChatPage />} />
-            <Route path="knowledge" element={<KnowledgePage />} />
-            <Route path="market" element={<MarketPage />} />
-            <Route path="token" element={<TokenDashboardPage />} />
-            <Route path="pricing" element={<PricingPage />} />
-            <Route path="profile" element={<ProfilePage />} />
-            <Route path="notifications" element={<NotificationPage />} />
-            <Route path="assets" element={<AssetsPage />} />
-            <Route path="assets/novel/:id" element={<NovelPreviewPage />} />
-            <Route path="evolution" element={<EvolutionDashboard />} />
-            <Route path="wechat-bot" element={<WechatBot />} />
-            <Route path="im-bots" element={<ImBotHub />} />
-            <Route path="app-services" element={<AppServices />} />
-          </Route>
-
-          {/* Admin Routes */}
-          <Route path="/admin" element={<AdminLayout />}>
-            <Route index element={<AdminDashboard />} />
-            <Route path="users" element={<AdminUsers />} />
-            <Route path="models" element={<AdminModels />} />
-            <Route path="settings" element={<AdminSiteSettings />} />
-            <Route path="sms" element={<AdminSmsConfig />} />
-            <Route path="payment" element={<AdminPayment />} />
-            <Route path="services" element={<AdminServices />} />
-            <Route path="membership" element={<AdminMembership />} />
-            <Route path="ads" element={<AdminAds />} />
-            <Route path="market" element={<AdminMarket />} />
-            <Route path="logs" element={<AdminLogs />} />
-            <Route path="skills" element={<AdminSkills />} />
-            <Route path="agents" element={<AdminAgents />} />
-            <Route path="code-exec" element={<AdminCodeExec />} />
-            <Route path="distributions" element={<DistributionBuilder />} />
-            <Route path="im-bots" element={<ImBots />} />
-            <Route path="privacy" element={<PrivacySettings />} />
-            <Route path="promotion" element={<Promotion />} />
-            <Route path="achievement" element={<Achievement />} />
-            <Route path="tenant" element={<Tenant />} />
-            <Route path="billing" element={<Billing />} />
-            <Route path="analytics" element={<Analytics />} />
-            <Route path="knowledge" element={<AdminKnowledge />} />
-            <Route path="workflow" element={<AdminWorkflow />} />
-            <Route path="storage" element={<AdminStorage />} />
-            <Route path="developer" element={<AdminDeveloper />} />
-            <Route path="developer-tools" element={<AdminDeveloperTools />} />
-            <Route path="automation" element={<AdminAutomation />} />
-            <Route path="mcp" element={<AdminMcp />} />
-            <Route path="apps" element={<AdminApps />} />
-            <Route path="assets" element={<AssetCenter />} />
-            <Route path="portal" element={<UserPortal />} />
-          </Route>
-
-          {/* 公开前台首页：不受登录态拦截，供后台「访问前台」直接打开 */}
-          <Route path="/home" element={<LandingPage />} />
-          <Route path="*" element={<Navigate to="/" />} />
-        </Routes>
-      </Suspense>
-    </AuthContext.Provider>
-  );
-};
-
-export default App;
+import React, { useState, useEffect, Suspense } from 'react';
+import { Routes, Route, Navigate } from 'react-router-dom';
+import type { User } from '@/types';
+import { AuthContext, AuthContextType } from '@/contexts/AuthContext';
+import { authAPI } from '@/api';
+
+// Layouts（保留为即时加载，构成应用外壳）
+import FrontLayout from '@/components/layout/FrontLayout';
+import AdminLayout from '@/components/layout/AdminLayout';
+
+// 路由级代码分割：每个页面独立打包成 chunk，首屏只加载外壳与公共依赖，
+// 访问具体页面时才按需加载对应 chunk，显著加快首屏渲染与路由切换速度。
+const LandingPage = React.lazy(() => import('@/pages/front/LandingPage'));
+const LoginPage = React.lazy(() => import('@/pages/front/LoginPage'));
+const ChatPage = React.lazy(() => import('@/pages/front/ChatPage'));
+const KnowledgePage = React.lazy(() => import('@/pages/front/KnowledgePage'));
+const MarketPage = React.lazy(() => import('@/pages/front/MarketPage'));
+const TokenDashboardPage = React.lazy(() => import('@/pages/front/TokenDashboardPage'));
+const PricingPage = React.lazy(() => import('@/pages/front/PricingPage'));
+const ProfilePage = React.lazy(() => import('@/pages/front/ProfilePage'));
+const NotificationPage = React.lazy(() => import('@/pages/front/NotificationPage'));
+const AssetsPage = React.lazy(() => import('@/pages/front/AssetsPage'));
+const NovelPreviewPage = React.lazy(() => import('@/pages/front/NovelPreviewPage'));
+const EvolutionDashboard = React.lazy(() => import('@/pages/front/EvolutionDashboard'));
+
+const AdminDashboard = React.lazy(() => import('@/pages/admin/Dashboard'));
+const AdminUsers = React.lazy(() => import('@/pages/admin/Users'));
+const AdminModels = React.lazy(() => import('@/pages/admin/Models'));
+const AdminSiteSettings = React.lazy(() => import('@/pages/admin/SiteSettings'));
+const AdminSmsConfig = React.lazy(() => import('@/pages/admin/SmsConfig'));
+const AdminPayment = React.lazy(() => import('@/pages/admin/Payment'));
+const AdminServices = React.lazy(() => import('@/pages/admin/Services'));
+const AdminMembership = React.lazy(() => import('@/pages/admin/Membership'));
+const AdminAds = React.lazy(() => import('@/pages/admin/Ads'));
+const AdminMarket = React.lazy(() => import('@/pages/admin/Market'));
+const AdminLogs = React.lazy(() => import('@/pages/admin/Logs'));
+const AdminSkills = React.lazy(() => import('@/pages/admin/Skills'));
+const AdminAgents = React.lazy(() => import('@/pages/admin/Agents'));
+const AdminCodeExec = React.lazy(() => import('@/pages/admin/CodeExec'));
+const DistributionBuilder = React.lazy(() => import('@/pages/admin/DistributionBuilder'));
+const ImBots = React.lazy(() => import('@/pages/admin/ImBots'));
+const PrivacySettings = React.lazy(() => import('@/pages/admin/PrivacySettings'));
+const Promotion = React.lazy(() => import('@/pages/admin/Promotion'));
+const Achievement = React.lazy(() => import('@/pages/admin/Achievement'));
+const Tenant = React.lazy(() => import('@/pages/admin/Tenant'));
+const Billing = React.lazy(() => import('@/pages/admin/Billing'));
+const Analytics = React.lazy(() => import('@/pages/admin/Analytics'));
+const Observability = React.lazy(() => import('@/pages/admin/Observability'));
+const AdminKnowledge = React.lazy(() => import('@/pages/admin/Knowledge'));
+const AdminWorkflow = React.lazy(() => import('@/pages/admin/Workflow'));
+const AdminStorage = React.lazy(() => import('@/pages/admin/Storage'));
+const AdminDeveloper = React.lazy(() => import('@/pages/admin/Developer'));
+const AdminDeveloperTools = React.lazy(() => import('@/pages/admin/DeveloperTools'));
+const AdminAutomation = React.lazy(() => import('@/pages/admin/Automation'));
+const AdminMcp = React.lazy(() => import('@/pages/admin/Mcp'));
+const AdminApps = React.lazy(() => import('@/pages/admin/Apps'));
+const AssetCenter = React.lazy(() => import('@/pages/admin/AssetCenter'));
+const UserPortal = React.lazy(() => import('@/pages/UserPortal'));
+const WechatBot = React.lazy(() => import('@/pages/front/WechatBot'));
+const ImBotHub = React.lazy(() => import('@/pages/front/ImBotHub'));
+const AppServices = React.lazy(() => import('@/pages/front/AppServices'));
+
+const pageFallback = <div className="loading-screen">加载中...</div>;
+
+const App: React.FC = () => {
+  const [user, setUser] = useState<User | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  // 初始化：从localStorage恢复登录状态
+  useEffect(() => {
+    const token = localStorage.getItem('aiflow_token');
+    const cachedUser = localStorage.getItem('aiflow_user');
+    if (token && cachedUser) {
+      try {
+        setUser(JSON.parse(cachedUser));
+      } catch {
+        localStorage.removeItem('aiflow_token');
+        localStorage.removeItem('aiflow_user');
+      }
+    }
+    setLoading(false);
+  }, []);
+
+  const login = (u: User) => {
+    setUser(u);
+    localStorage.setItem('aiflow_user', JSON.stringify(u));
+  };
+  const logout = () => {
+    setUser(null);
+    localStorage.removeItem('aiflow_token');
+    localStorage.removeItem('aiflow_user');
+  };
+  const isAdmin = user?.role === 'admin';
+
+  if (loading) {
+    return <div className="loading-screen">加载中...</div>;
+  }
+
+  return (
+    <AuthContext.Provider value={{ user, login, logout, isAdmin }}>
+      <Suspense fallback={pageFallback}>
+        <Routes>
+          {/* Login */}
+          <Route path="/login" element={
+            user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LoginPage />
+          } />
+
+          {/* Root - Landing for guests, redirect for authenticated users */}
+          <Route path="/" element={
+            user ? (isAdmin ? <Navigate to="/admin" /> : <Navigate to="/chat" />) : <LandingPage />
+          } />
+
+          {/* Front Routes (authenticated only) */}
+          <Route path="/" element={<FrontLayout />}>
+            <Route path="chat" element={<ChatPage />} />
+            <Route path="chat/:id" element={<ChatPage />} />
+            <Route path="knowledge" element={<KnowledgePage />} />
+            <Route path="market" element={<MarketPage />} />
+            <Route path="token" element={<TokenDashboardPage />} />
+            <Route path="pricing" element={<PricingPage />} />
+            <Route path="profile" element={<ProfilePage />} />
+            <Route path="notifications" element={<NotificationPage />} />
+            <Route path="assets" element={<AssetsPage />} />
+            <Route path="assets/novel/:id" element={<NovelPreviewPage />} />
+            <Route path="evolution" element={<EvolutionDashboard />} />
+            <Route path="wechat-bot" element={<WechatBot />} />
+            <Route path="im-bots" element={<ImBotHub />} />
+            <Route path="app-services" element={<AppServices />} />
+          </Route>
+
+          {/* Admin Routes */}
+          <Route path="/admin" element={<AdminLayout />}>
+            <Route index element={<AdminDashboard />} />
+            <Route path="users" element={<AdminUsers />} />
+            <Route path="models" element={<AdminModels />} />
+            <Route path="settings" element={<AdminSiteSettings />} />
+            <Route path="sms" element={<AdminSmsConfig />} />
+            <Route path="payment" element={<AdminPayment />} />
+            <Route path="services" element={<AdminServices />} />
+            <Route path="membership" element={<AdminMembership />} />
+            <Route path="ads" element={<AdminAds />} />
+            <Route path="market" element={<AdminMarket />} />
+            <Route path="logs" element={<AdminLogs />} />
+            <Route path="skills" element={<AdminSkills />} />
+            <Route path="agents" element={<AdminAgents />} />
+            <Route path="code-exec" element={<AdminCodeExec />} />
+            <Route path="distributions" element={<DistributionBuilder />} />
+            <Route path="im-bots" element={<ImBots />} />
+            <Route path="privacy" element={<PrivacySettings />} />
+            <Route path="promotion" element={<Promotion />} />
+            <Route path="achievement" element={<Achievement />} />
+            <Route path="tenant" element={<Tenant />} />
+            <Route path="billing" element={<Billing />} />
+            <Route path="analytics" element={<Analytics />} />
+      <Route path="observability" element={<Observability />} />
+            <Route path="knowledge" element={<AdminKnowledge />} />
+            <Route path="workflow" element={<AdminWorkflow />} />
+            <Route path="storage" element={<AdminStorage />} />
+            <Route path="developer" element={<AdminDeveloper />} />
+            <Route path="developer-tools" element={<AdminDeveloperTools />} />
+            <Route path="automation" element={<AdminAutomation />} />
+            <Route path="mcp" element={<AdminMcp />} />
+            <Route path="apps" element={<AdminApps />} />
+            <Route path="assets" element={<AssetCenter />} />
+            <Route path="portal" element={<UserPortal />} />
+          </Route>
+
+          {/* 公开前台首页：不受登录态拦截，供后台「访问前台」直接打开 */}
+          <Route path="/home" element={<LandingPage />} />
+          <Route path="*" element={<Navigate to="/" />} />
+        </Routes>
+      </Suspense>
+    </AuthContext.Provider>
+  );
+};
+
+export default App;

frontend/src/components/layout/AdminLayout.tsx

@@ -1,435 +1,437 @@
-import React, { useState, useEffect } from 'react';
-
-import { Outlet, NavLink, useNavigate, useLocation } from 'react-router-dom';
-
-import { useAuth } from '@/contexts/AuthContext';
-
-import './AdminLayout.css';
-
-
-
-interface NavItem {
-
-  path: string;
-
-  icon: string;
-
-  label: string;
-
-  exact?: boolean;
-
-}
-
-
-
-interface NavGroup {
-
-  title: string;
-
-  icon: string;
-
-  items: NavItem[];
-
-}
-
-
-
-const adminNavGroups: NavGroup[] = [
-
-  {
-    title: '数据驾驶舱',
-    icon: 'dashboard',
-    items: [
-      { path: '/admin', icon: 'dashboard', label: '平台驾驶舱', exact: true },
-    ],
-  },
-
-  {
-    title: 'AI技能中心',
-    icon: 'agents',
-    items: [
-      { path: '/admin/models', icon: 'models', label: '大模型库' },
-      { path: '/admin/agents', icon: 'agents', label: 'Agent 管理' },
-      { path: '/admin/skills', icon: 'skills', label: 'Skills技能管理' },
-      { path: '/admin/mcp', icon: 'mcp', label: 'MCP Client 管理' },
-      { path: '/admin/market', icon: 'market', label: 'AI 技能审核' },
-    ],
-  },
-
-  {
-    title: '平台运营',
-    icon: 'users',
-    items: [
-      { path: '/admin/users', icon: 'users', label: '用户管理' },
-      { path: '/admin/membership', icon: 'membership', label: '会员管理' },
-      { path: '/admin/promotion', icon: 'promotion', label: '推广系统' },
-      { path: '/admin/achievement', icon: 'achievement', label: '成就系统' },
-    ],
-  },
-
-  {
-    title: '商业变现',
-    icon: 'billing',
-    items: [
-      { path: '/admin/billing', icon: 'billing', label: '计费与支付' },
-      { path: '/admin/payment', icon: 'payment', label: '支付渠道' },
-      { path: '/admin/services', icon: 'services', label: '增值服务' },
-      { path: '/admin/ads', icon: 'ads', label: '广告管理' },
-      { path: '/admin/assets', icon: 'assets', label: '资产管理' },
-    ],
-  },
-
-  {
-    title: '系统管理',
-    icon: 'settings',
-    items: [
-      { path: '/admin/settings', icon: 'settings', label: '网站设置' },
-      { path: '/admin/logs', icon: 'logs', label: '日志与风控' },
-      { path: '/admin/knowledge', icon: 'knowledge', label: '知识库管理' },
-      { path: '/admin/sms', icon: 'sms', label: '短信配置' },
-      { path: '/admin/storage', icon: 'storage', label: '存储配置' },
-      { path: '/admin/automation', icon: 'automation', label: '自动化任务' },
-    ],
-  },
-
-  {
-    title: '待处理',
-    icon: 'developer',
-    items: [
-      { path: '/admin/analytics', icon: 'analytics', label: '数据分析' },
-      { path: '/admin/workflow', icon: 'workflow', label: '工作流编排' },
-      { path: '/admin/apps', icon: 'apps', label: 'AI 应用管理' },
-      { path: '/admin/code-exec', icon: 'code', label: '代码执行沙箱' },
-      { path: '/admin/tenant', icon: 'tenant', label: '多租户管理' },
-      { path: '/admin/im-bots', icon: 'imbot', label: 'IM 机器人' },
-      { path: '/admin/privacy', icon: 'privacy', label: '隐私与本地代理' },
-      { path: '/admin/distributions', icon: 'distro', label: '发行版构建' },
-      { path: '/admin/developer', icon: 'developer', label: '开发者 API' },
-      { path: '/admin/developer-tools', icon: 'devtools', label: '开发者工具' },
-    ],
-  },
-
-];
-
-
-
-const adminIconPaths: Record<string, JSX.Element> = {
-
-  dashboard: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
-
-  users: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M17 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2"/><circle cx="9" cy="7" r="4"/><path d="M23 21v-2a4 4 0 0 0-3-3.87"/><path d="M16 3.13a4 4 0 0 1 0 7.75"/></svg>,
-
-  models: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2L2 7l10 5 10-5-10-5z"/><path d="M2 17l10 5 10-5"/><path d="M2 12l10 5 10-5"/></svg>,
-
-  settings: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
-
-  payment: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/></svg>,
-
-  services: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 3 21 3 21 8"/><line x1="4" y1="20" x2="21" y2="3"/><polyline points="21 16 21 21 16 21"/><line x1="15" y1="15" x2="21" y2="21"/><line x1="4" y1="4" x2="9" y2="9"/></svg>,
-
-  membership: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M20.59 13.41l-7.17 7.17a2 2 0 0 1-2.83 0L2 12V2h10l8.59 8.59a2 2 0 0 1 0 2.82z"/><line x1="7" y1="7" x2="7.01" y2="7"/></svg>,
-
-  ads: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="3" width="20" height="14" rx="2"/><line x1="8" y1="21" x2="16" y2="21"/><line x1="12" y1="17" x2="12" y2="21"/></svg>,
-
-  market: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1.2"/><rect x="14" y="3" width="7" height="7" rx="1.2"/><rect x="3" y="14" width="7" height="7" rx="1.2"/><rect x="14" y="14" width="7" height="7" rx="1.2"/></svg>,
-
-  logs: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><polyline points="10 9 9 9 8 9"/></svg>,
-
-  agents: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="10" rx="2"/><circle cx="12" cy="5" r="2"/><path d="M12 7v4"/><line x1="8" y1="16" x2="8" y2="16"/><line x1="16" y1="16" x2="16" y2="16"/></svg>,
-
-  skills: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
-
-  code: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
-
-  distro: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
-
-  privacy: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="11" rx="2" ry="2"/><path d="M7 11V7a5 5 0 0 1 10 0v4"/><circle cx="12" cy="16" r="1"/></svg>,
-
-  promotion: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="8" r="7"/><path d="M8.5 12.5L6 21l6-2 6 2-2.5-8.5"/><circle cx="12" cy="8" r="3"/></svg>,
-
-  achievement: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.27 7.82 22 7 14.14l-5-4.87 6.91-1.01L12 2z"/></svg>,
-
-  tenant: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M3 21V8l9-5 9 5v13"/><path d="M9 21v-6h6v6"/><path d="M3 13h18"/></svg>,
-
-  billing: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/><line x1="6" y1="15" x2="10" y2="15"/></svg>,
-
-  analytics: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><line x1="18" y1="20" x2="18" y2="10"/><line x1="12" y1="20" x2="12" y2="4"/><line x1="6" y1="20" x2="6" y2="14"/><line x1="3" y1="20" x2="21" y2="20"/></svg>,
-
-  imbot: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 11.5a8.38 8.38 0 0 1-.9 3.8 8.5 8.5 0 0 1-7.6 4.7 8.38 8.38 0 0 1-3.8-.9L3 21l1.9-5.7a8.38 8.38 0 0 1-.9-3.8 8.5 8.5 0 0 1 4.7-7.6 8.38 8.38 0 0 1 3.8-.9h.5a8.48 8.48 0 0 1 8 8v.5z"/></svg>,
-
-  storage: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><ellipse cx="12" cy="5" rx="9" ry="3"/><path d="M21 12c0 1.66-4 3-9 3s-9-1.34-9-3"/><path d="M3 5v14c0 1.66 4 3 9 3s9-1.34 9-3V5"/></svg>,
-
-  automation: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2v4M12 18v4M4.93 4.93l2.83 2.83M16.24 16.24l2.83 2.83M2 12h4M18 12h4M4.93 19.07l2.83-2.83M16.24 7.76l2.83-2.83"/></svg>,
-
-  developer: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
-
-  devtools: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
-
-  knowledge: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M4 19.5A2.5 2.5 0 0 1 6.5 17H20"/><path d="M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z"/></svg>,
-
-  workflow: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/><line x1="10" y1="6" x2="14" y2="6"/><line x1="10" y1="17" x2="14" y2="17"/></svg>,
-
-  mcp: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
-
-  apps: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
-
-  assets: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
-
-  chevron: <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><polyline points="6 9 12 15 18 9"/></svg>,
-
-  sms: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"/></svg>,
-
-};
-
-
-
-const AdminLayout: React.FC = () => {
-
-  const { user, logout } = useAuth();
-
-  const navigate = useNavigate();
-
-  const location = useLocation();
-
-  // 后台必须登录且为管理员
-  useEffect(() => {
-    const token = localStorage.getItem('aiflow_token');
-    if (!token || !user || user.role !== 'admin') {
-      logout();
-      navigate('/login', { replace: true });
-    }
-  }, [user, logout, navigate]);
-
-  const navCrumb = (() => {
-
-    for (const g of adminNavGroups) {
-
-      for (const it of g.items) {
-
-        const match = it.exact
-
-          ? location.pathname === it.path
-
-          : location.pathname === it.path || location.pathname.startsWith(it.path + '/');
-
-        if (match) return { group: g.title, label: it.label };
-
-      }
-
-    }
-
-    return { group: '', label: '' };
-
-  })();
-
-  const navGroup = navCrumb.group;
-
-  const navLabel = navCrumb.label;
-
-
-
-  // 默认展开全部功能板块，确保后台所有模块在 UI 中可见（DESIGN.md: 侧栏分类清晰）
-  const [expandedGroups, setExpandedGroups] = useState<Set<string>>(() => {
-    return new Set(adminNavGroups.map((g) => g.title));
-  });
-
-
-
-  const toggleGroup = (title: string) => {
-
-    setExpandedGroups(prev => {
-
-      const next = new Set(prev);
-
-      if (next.has(title)) next.delete(title);
-
-      else next.add(title);
-
-      return next;
-
-    });
-
-  };
-
-
-
-  const handleLogout = () => {
-
-    logout();
-
-    navigate('/');
-
-  };
-
-
-
-  const handleVisitFrontend = () => {
-
-    const url = window.location.origin + '/chat';
-
-    window.open(url, '_blank');
-
-  };
-
-
-
-  return (
-
-    <div className="admin-layout">
-
-      <aside className="admin-sidebar">
-
-        <div className="admin-sidebar-header">
-
-          <h1 className="admin-logo">七虎AI</h1>
-
-          <span className="admin-subtitle">管理控制台</span>
-
-        </div>
-
-        <button onClick={handleVisitFrontend} className="admin-frontend-link">
-
-          <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"/><polyline points="15 3 21 3 21 9"/><line x1="10" y1="14" x2="21" y2="3"/></svg>
-
-          <span>访问前台</span>
-
-        </button>
-
-        <nav className="sidebar-nav">
-
-          {adminNavGroups.map((group) => {
-
-            const isExpanded = expandedGroups.has(group.title);
-
-            const hasActiveChild = group.items.some(item =>
-
-              item.exact ? location.pathname === item.path : location.pathname.startsWith(item.path)
-
-            );
-
-            return (
-
-              <div key={group.title} className={`nav-group ${hasActiveChild ? 'nav-group-active' : ''}`}>
-
-                <div
-
-                  className={`nav-group-header ${isExpanded ? 'expanded' : ''}`}
-
-                  onClick={() => toggleGroup(group.title)}
-
-                >
-
-                  <span className="nav-group-chevron-wrap">
-
-                    <span className={`nav-group-chevron ${isExpanded ? 'chevron-expanded' : ''}`}>
-
-                      {adminIconPaths.chevron}
-
-                    </span>
-
-                  </span>
-
-                  <span className="nav-group-title">{group.title}</span>
-
-                </div>
-
-                {isExpanded && (
-
-                  <div className="nav-group-items">
-
-                    {group.items.map((item) => (
-
-                      <NavLink
-
-                        key={item.path}
-
-                        to={item.path}
-
-                        end={item.exact}
-
-                        className={({ isActive }) =>
-
-                          `nav-item ${isActive ? 'nav-item-active' : ''}`
-
-                        }
-
-                      >
-
-                        <span className="nav-item-icon">{adminIconPaths[item.icon]}</span>
-
-                        <span className="nav-item-label">{item.label}</span>
-
-                      </NavLink>
-
-                    ))}
-
-                  </div>
-
-                )}
-
-              </div>
-
-            );
-
-          })}
-
-        </nav>
-
-        <div className="admin-sidebar-footer">
-
-          <div className="admin-user-info">
-
-            <div className="admin-user-avatar">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
-
-            <div className="admin-user-detail">
-
-              <div className="admin-user-name">{user?.username || 'admin'}</div>
-
-              <button className="admin-logout-btn" onClick={handleLogout}>退出登录</button>
-
-            </div>
-
-          </div>
-
-        </div>
-
-      </aside>
-
-      <main className="admin-content">
-
-        <header className="admin-topbar">
-
-          <nav className="admin-breadcrumb" aria-label="breadcrumb">
-
-            <span className="crumb-root">管理控制台</span>
-
-            {navGroup && (<><span className="crumb-sep">/</span><span className="crumb-group">{navGroup}</span></>)}
-
-            {navLabel && (<><span className="crumb-sep">/</span><span className="crumb-current">{navLabel}</span></>)}
-
-          </nav>
-
-          <div className="admin-topbar-user">
-
-            <div className="admin-user-avatar sm">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
-
-            <span className="admin-topbar-username">{user?.username || 'admin'}</span>
-
-          </div>
-
-        </header>
-
-        <Outlet />
-
-      </main>
-
-    </div>
-
-  );
-
-};
-
-
-
-export default AdminLayout;
-
+import React, { useState, useEffect } from 'react';
+
+import { Outlet, NavLink, useNavigate, useLocation } from 'react-router-dom';
+
+import { useAuth } from '@/contexts/AuthContext';
+
+import './AdminLayout.css';
+
+
+
+interface NavItem {
+
+  path: string;
+
+  icon: string;
+
+  label: string;
+
+  exact?: boolean;
+
+}
+
+
+
+interface NavGroup {
+
+  title: string;
+
+  icon: string;
+
+  items: NavItem[];
+
+}
+
+
+
+const adminNavGroups: NavGroup[] = [
+
+  {
+    title: '数据驾驶舱',
+    icon: 'dashboard',
+    items: [
+      { path: '/admin', icon: 'dashboard', label: '平台驾驶舱', exact: true },
+    ],
+  },
+
+  {
+    title: 'AI技能中心',
+    icon: 'agents',
+    items: [
+      { path: '/admin/models', icon: 'models', label: '大模型库' },
+      { path: '/admin/agents', icon: 'agents', label: 'Agent 管理' },
+      { path: '/admin/skills', icon: 'skills', label: 'Skills技能管理' },
+      { path: '/admin/mcp', icon: 'mcp', label: 'MCP Client 管理' },
+      { path: '/admin/market', icon: 'market', label: 'AI 技能审核' },
+    ],
+  },
+
+  {
+    title: '平台运营',
+    icon: 'users',
+    items: [
+      { path: '/admin/users', icon: 'users', label: '用户管理' },
+      { path: '/admin/membership', icon: 'membership', label: '会员管理' },
+      { path: '/admin/promotion', icon: 'promotion', label: '推广系统' },
+      { path: '/admin/achievement', icon: 'achievement', label: '成就系统' },
+    ],
+  },
+
+  {
+    title: '商业变现',
+    icon: 'billing',
+    items: [
+      { path: '/admin/billing', icon: 'billing', label: '计费与支付' },
+      { path: '/admin/payment', icon: 'payment', label: '支付渠道' },
+      { path: '/admin/services', icon: 'services', label: '增值服务' },
+      { path: '/admin/ads', icon: 'ads', label: '广告管理' },
+      { path: '/admin/assets', icon: 'assets', label: '资产管理' },
+    ],
+  },
+
+  {
+    title: '系统管理',
+    icon: 'settings',
+    items: [
+      { path: '/admin/settings', icon: 'settings', label: '网站设置' },
+      { path: '/admin/logs', icon: 'logs', label: '日志与风控' },
+      { path: '/admin/knowledge', icon: 'knowledge', label: '知识库管理' },
+      { path: '/admin/sms', icon: 'sms', label: '短信配置' },
+      { path: '/admin/storage', icon: 'storage', label: '存储配置' },
+      { path: '/admin/automation', icon: 'automation', label: '自动化任务' },
+    ],
+  },
+
+  {
+    title: '待处理',
+    icon: 'developer',
+    items: [
+      { path: '/admin/analytics', icon: 'analytics', label: '数据分析' },
+      { path: '/admin/observability', icon: 'observability', label: '调用可观测' },
+      { path: '/admin/workflow', icon: 'workflow', label: '工作流编排' },
+      { path: '/admin/apps', icon: 'apps', label: 'AI 应用管理' },
+      { path: '/admin/code-exec', icon: 'code', label: '代码执行沙箱' },
+      { path: '/admin/tenant', icon: 'tenant', label: '多租户管理' },
+      { path: '/admin/im-bots', icon: 'imbot', label: 'IM 机器人' },
+      { path: '/admin/privacy', icon: 'privacy', label: '隐私与本地代理' },
+      { path: '/admin/distributions', icon: 'distro', label: '发行版构建' },
+      { path: '/admin/developer', icon: 'developer', label: '开发者 API' },
+      { path: '/admin/developer-tools', icon: 'devtools', label: '开发者工具' },
+    ],
+  },
+
+];
+
+
+
+const adminIconPaths: Record<string, JSX.Element> = {
+
+  dashboard: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
+
+  users: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M17 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2"/><circle cx="9" cy="7" r="4"/><path d="M23 21v-2a4 4 0 0 0-3-3.87"/><path d="M16 3.13a4 4 0 0 1 0 7.75"/></svg>,
+
+  models: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2L2 7l10 5 10-5-10-5z"/><path d="M2 17l10 5 10-5"/><path d="M2 12l10 5 10-5"/></svg>,
+
+  settings: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
+
+  payment: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/></svg>,
+
+  services: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 3 21 3 21 8"/><line x1="4" y1="20" x2="21" y2="3"/><polyline points="21 16 21 21 16 21"/><line x1="15" y1="15" x2="21" y2="21"/><line x1="4" y1="4" x2="9" y2="9"/></svg>,
+
+  membership: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M20.59 13.41l-7.17 7.17a2 2 0 0 1-2.83 0L2 12V2h10l8.59 8.59a2 2 0 0 1 0 2.82z"/><line x1="7" y1="7" x2="7.01" y2="7"/></svg>,
+
+  ads: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="3" width="20" height="14" rx="2"/><line x1="8" y1="21" x2="16" y2="21"/><line x1="12" y1="17" x2="12" y2="21"/></svg>,
+
+  market: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1.2"/><rect x="14" y="3" width="7" height="7" rx="1.2"/><rect x="3" y="14" width="7" height="7" rx="1.2"/><rect x="14" y="14" width="7" height="7" rx="1.2"/></svg>,
+
+  logs: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z"/><polyline points="14 2 14 8 20 8"/><line x1="16" y1="13" x2="8" y2="13"/><line x1="16" y1="17" x2="8" y2="17"/><polyline points="10 9 9 9 8 9"/></svg>,
+
+  agents: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="10" rx="2"/><circle cx="12" cy="5" r="2"/><path d="M12 7v4"/><line x1="8" y1="16" x2="8" y2="16"/><line x1="16" y1="16" x2="16" y2="16"/></svg>,
+
+  skills: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
+
+  code: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
+
+  distro: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
+
+  privacy: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="11" width="18" height="11" rx="2" ry="2"/><path d="M7 11V7a5 5 0 0 1 10 0v4"/><circle cx="12" cy="16" r="1"/></svg>,
+
+  promotion: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="8" r="7"/><path d="M8.5 12.5L6 21l6-2 6 2-2.5-8.5"/><circle cx="12" cy="8" r="3"/></svg>,
+
+  achievement: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2l3.09 6.26L22 9.27l-5 4.87L18.18 22 12 18.27 7.82 22 7 14.14l-5-4.87 6.91-1.01L12 2z"/></svg>,
+
+  tenant: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M3 21V8l9-5 9 5v13"/><path d="M9 21v-6h6v6"/><path d="M3 13h18"/></svg>,
+
+  billing: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="2" y="5" width="20" height="14" rx="2"/><line x1="2" y1="10" x2="22" y2="10"/><line x1="6" y1="15" x2="10" y2="15"/></svg>,
+
+  analytics: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><line x1="18" y1="20" x2="18" y2="10"/><line x1="12" y1="20" x2="12" y2="4"/><line x1="6" y1="20" x2="6" y2="14"/><line x1="3" y1="20" x2="21" y2="20"/></svg>,
+  observability: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M3 12h4l3 8 4-16 3 8h4"/></svg>,
+
+  imbot: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 11.5a8.38 8.38 0 0 1-.9 3.8 8.5 8.5 0 0 1-7.6 4.7 8.38 8.38 0 0 1-3.8-.9L3 21l1.9-5.7a8.38 8.38 0 0 1-.9-3.8 8.5 8.5 0 0 1 4.7-7.6 8.38 8.38 0 0 1 3.8-.9h.5a8.48 8.48 0 0 1 8 8v.5z"/></svg>,
+
+  storage: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><ellipse cx="12" cy="5" rx="9" ry="3"/><path d="M21 12c0 1.66-4 3-9 3s-9-1.34-9-3"/><path d="M3 5v14c0 1.66 4 3 9 3s9-1.34 9-3V5"/></svg>,
+
+  automation: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M12 2v4M12 18v4M4.93 4.93l2.83 2.83M16.24 16.24l2.83 2.83M2 12h4M18 12h4M4.93 19.07l2.83-2.83M16.24 7.76l2.83-2.83"/></svg>,
+
+  developer: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><polyline points="16 18 22 12 16 6"/><polyline points="8 6 2 12 8 18"/></svg>,
+
+  devtools: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M14.7 6.3a1 1 0 0 0 0 1.4l1.6 1.6a1 1 0 0 0 1.4 0l3.77-3.77a6 6 0 0 1-7.94 7.94l-6.91 6.91a2.12 2.12 0 0 1-3-3l6.91-6.91a6 6 0 0 1 7.94-7.94l-3.76 3.76z"/></svg>,
+
+  knowledge: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M4 19.5A2.5 2.5 0 0 1 6.5 17H20"/><path d="M6.5 2H20v20H6.5A2.5 2.5 0 0 1 4 19.5v-15A2.5 2.5 0 0 1 6.5 2z"/></svg>,
+
+  workflow: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/><line x1="10" y1="6" x2="14" y2="6"/><line x1="10" y1="17" x2="14" y2="17"/></svg>,
+
+  mcp: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1-2.83 2.83l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-4 0v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1 0-4h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 2.83-2.83l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 4 0v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 0 4h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>,
+
+  apps: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>,
+
+  assets: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/><polyline points="3.27 6.96 12 12.01 20.73 6.96"/><line x1="12" y1="22.08" x2="12" y2="12"/></svg>,
+
+  chevron: <svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><polyline points="6 9 12 15 18 9"/></svg>,
+
+  sms: <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="1.8" strokeLinecap="round" strokeLinejoin="round"><path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"/></svg>,
+
+};
+
+
+
+const AdminLayout: React.FC = () => {
+
+  const { user, logout } = useAuth();
+
+  const navigate = useNavigate();
+
+  const location = useLocation();
+
+  // 后台必须登录且为管理员
+  useEffect(() => {
+    const token = localStorage.getItem('aiflow_token');
+    if (!token || !user || user.role !== 'admin') {
+      logout();
+      navigate('/login', { replace: true });
+    }
+  }, [user, logout, navigate]);
+
+  const navCrumb = (() => {
+
+    for (const g of adminNavGroups) {
+
+      for (const it of g.items) {
+
+        const match = it.exact
+
+          ? location.pathname === it.path
+
+          : location.pathname === it.path || location.pathname.startsWith(it.path + '/');
+
+        if (match) return { group: g.title, label: it.label };
+
+      }
+
+    }
+
+    return { group: '', label: '' };
+
+  })();
+
+  const navGroup = navCrumb.group;
+
+  const navLabel = navCrumb.label;
+
+
+
+  // 默认展开全部功能板块，确保后台所有模块在 UI 中可见（DESIGN.md: 侧栏分类清晰）
+  const [expandedGroups, setExpandedGroups] = useState<Set<string>>(() => {
+    return new Set(adminNavGroups.map((g) => g.title));
+  });
+
+
+
+  const toggleGroup = (title: string) => {
+
+    setExpandedGroups(prev => {
+
+      const next = new Set(prev);
+
+      if (next.has(title)) next.delete(title);
+
+      else next.add(title);
+
+      return next;
+
+    });
+
+  };
+
+
+
+  const handleLogout = () => {
+
+    logout();
+
+    navigate('/');
+
+  };
+
+
+
+  const handleVisitFrontend = () => {
+
+    const url = window.location.origin + '/chat';
+
+    window.open(url, '_blank');
+
+  };
+
+
+
+  return (
+
+    <div className="admin-layout">
+
+      <aside className="admin-sidebar">
+
+        <div className="admin-sidebar-header">
+
+          <h1 className="admin-logo">七虎AI</h1>
+
+          <span className="admin-subtitle">管理控制台</span>
+
+        </div>
+
+        <button onClick={handleVisitFrontend} className="admin-frontend-link">
+
+          <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"/><polyline points="15 3 21 3 21 9"/><line x1="10" y1="14" x2="21" y2="3"/></svg>
+
+          <span>访问前台</span>
+
+        </button>
+
+        <nav className="sidebar-nav">
+
+          {adminNavGroups.map((group) => {
+
+            const isExpanded = expandedGroups.has(group.title);
+
+            const hasActiveChild = group.items.some(item =>
+
+              item.exact ? location.pathname === item.path : location.pathname.startsWith(item.path)
+
+            );
+
+            return (
+
+              <div key={group.title} className={`nav-group ${hasActiveChild ? 'nav-group-active' : ''}`}>
+
+                <div
+
+                  className={`nav-group-header ${isExpanded ? 'expanded' : ''}`}
+
+                  onClick={() => toggleGroup(group.title)}
+
+                >
+
+                  <span className="nav-group-chevron-wrap">
+
+                    <span className={`nav-group-chevron ${isExpanded ? 'chevron-expanded' : ''}`}>
+
+                      {adminIconPaths.chevron}
+
+                    </span>
+
+                  </span>
+
+                  <span className="nav-group-title">{group.title}</span>
+
+                </div>
+
+                {isExpanded && (
+
+                  <div className="nav-group-items">
+
+                    {group.items.map((item) => (
+
+                      <NavLink
+
+                        key={item.path}
+
+                        to={item.path}
+
+                        end={item.exact}
+
+                        className={({ isActive }) =>
+
+                          `nav-item ${isActive ? 'nav-item-active' : ''}`
+
+                        }
+
+                      >
+
+                        <span className="nav-item-icon">{adminIconPaths[item.icon]}</span>
+
+                        <span className="nav-item-label">{item.label}</span>
+
+                      </NavLink>
+
+                    ))}
+
+                  </div>
+
+                )}
+
+              </div>
+
+            );
+
+          })}
+
+        </nav>
+
+        <div className="admin-sidebar-footer">
+
+          <div className="admin-user-info">
+
+            <div className="admin-user-avatar">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
+
+            <div className="admin-user-detail">
+
+              <div className="admin-user-name">{user?.username || 'admin'}</div>
+
+              <button className="admin-logout-btn" onClick={handleLogout}>退出登录</button>
+
+            </div>
+
+          </div>
+
+        </div>
+
+      </aside>
+
+      <main className="admin-content">
+
+        <header className="admin-topbar">
+
+          <nav className="admin-breadcrumb" aria-label="breadcrumb">
+
+            <span className="crumb-root">管理控制台</span>
+
+            {navGroup && (<><span className="crumb-sep">/</span><span className="crumb-group">{navGroup}</span></>)}
+
+            {navLabel && (<><span className="crumb-sep">/</span><span className="crumb-current">{navLabel}</span></>)}
+
+          </nav>
+
+          <div className="admin-topbar-user">
+
+            <div className="admin-user-avatar sm">{user?.username?.[0]?.toUpperCase() || 'A'}</div>
+
+            <span className="admin-topbar-username">{user?.username || 'admin'}</span>
+
+          </div>
+
+        </header>
+
+        <Outlet />
+
+      </main>
+
+    </div>
+
+  );
+
+};
+
+
+
+export default AdminLayout;
+

frontend/src/pages/admin/Agents.tsx

@@ -105,6 +105,10 @@ const Agents: React.FC = () => {
   // Available skills for linking
   const [availableSkills, setAvailableSkills] = useState<any[]>([]);
   const [availableModels, setAvailableModels] = useState<AvailableModel[]>([]);
+  // Available MCP servers for tool_policy sandbox allowlist
+  const [availableMcps, setAvailableMcps] = useState<any[]>([]);
+  // Tool policy (sandbox) — null means disabled / no policy
+  const [toolPolicy, setToolPolicy] = useState<any>(null);
 
   // Toast
   const [toast, setToast] = useState<{ msg: string; type: 'success' | 'error' } | null>(null);
@@ -144,14 +148,17 @@ const Agents: React.FC = () => {
   // Load available skills & models
   const loadAvailable = async () => {
     try {
-      const [skillsResult, modelsResult] = await Promise.all([
+      const [skillsResult, modelsResult, mcpsResult] = await Promise.all([
         adminAPI.getAdminAvailableSkills({ page_size: 50 }) as any,
         adminAPI.getAdminAvailableModels() as any,
+        adminAPI.getAdminMcpServers({ page_size: 50 }) as any,
       ]);
       const skills = (skillsResult.data || skillsResult).items || [];
       const models = (modelsResult.data || modelsResult) || [];
+      const mcps = (mcpsResult.data || mcpsResult).items || [];
       setAvailableSkills(skills);
       setAvailableModels(models);
+      setAvailableMcps(mcps);
     } catch {}
   };
 
@@ -187,6 +194,7 @@ const Agents: React.FC = () => {
       memory_enabled: false,
       reasoning_enabled: false,
     });
+    setToolPolicy(null);
     setShowModal(true);
   };
 
@@ -194,6 +202,7 @@ const Agents: React.FC = () => {
   const openEdit = async (agent: Agent) => {
     setEditingAgent(agent);
     await loadAvailable();
+    await openEditLoadPolicy(agent.id);
 
     const cfg = agent.config || {};
     setForm({
@@ -213,7 +222,15 @@ const Agents: React.FC = () => {
     setShowModal(true);
   };
 
-  // Open detail
+  // Fetch existing tool_policy (sandbox) for this agent
+  const openEditLoadPolicy = async (agentId: string) => {
+    try {
+      const tpRes = await adminAPI.getAgentToolPolicy(agentId) as any;
+      setToolPolicy(tpRes?.data?.tool_policy || null);
+    } catch {
+      setToolPolicy(null);
+    }
+  };
   const openDetail = async (agent: Agent) => {
     setDetailAgent(agent);
     setShowDetail(true);
@@ -246,7 +263,13 @@ const Agents: React.FC = () => {
     try {
       if (editingAgent) {
         await adminAPI.updateAdminAgent(editingAgent.id, payload);
-        showToast('Agent 已更新');
+        // Phase 3.1: persist tool_policy sandbox (null clears it)
+        try {
+          await adminAPI.setAgentToolPolicy(editingAgent.id, toolPolicy);
+          showToast('Agent 已更新');
+        } catch (pe: any) {
+          showToast(`Agent 已更新，但策略保存失败: ${pe.message || pe}`, 'error');
+        }
       } else {
         await adminAPI.createAdminAgent(payload);
         showToast('Agent 创建成功');
@@ -612,6 +635,87 @@ const Agents: React.FC = () => {
                   </div>
                 )}
               </div>
+              {editingAgent && (
+                <div style={{ gridColumn: '1 / -1' }}>
+                  <hr style={{ border: 'none', borderTop: '1px solid #E5E7EB', margin: '16px 0' }} />
+                  <div style={{ fontWeight: 600, marginBottom: 12 }}>🛡️ 工具权限沙箱 (tool_policy)</div>
+                  <label style={{ display: 'flex', alignItems: 'center', gap: 8, cursor: 'pointer', marginBottom: 12 }}>
+                    <input type="checkbox" checked={toolPolicy !== null} onChange={e => {
+                      if (e.target.checked) {
+                        setToolPolicy({ allowed_tools: { skill_ids: [], mcp_ids: [] }, max_calls_per_conversation: null, per_round_cap: null, fallback_message: '' });
+                      } else {
+                        setToolPolicy(null);
+                      }
+                    }} />
+                    启用工具/MCP 权限沙箱（限制该 Agent 可调用的工具与调用频次）
+                  </label>
+                  {toolPolicy && (
+                    <div style={{ display: 'flex', flexDirection: 'column', gap: 16 }}>
+                      <div className="form-group" style={{ marginBottom: 0 }}>
+                        <label className="form-label">允许调用的技能（不选 = 禁止调用任何技能）</label>
+                        <div style={{ display: 'flex', flexWrap: 'wrap', gap: 6, maxHeight: 160, overflowY: 'auto', padding: 8, border: '1px solid #E5E7EB', borderRadius: 6 }}>
+                          {availableSkills.length === 0 ? (
+                            <span style={{ color: '#9CA3AF', fontSize: 13 }}>暂无技能</span>
+                          ) : availableSkills.map((skill: any) => {
+                            const checked = (toolPolicy.allowed_tools?.skill_ids || []).includes(skill.id);
+                            return (
+                              <label key={skill.id} style={{ display: 'flex', alignItems: 'center', gap: 4, padding: '4px 10px', borderRadius: 12, fontSize: 12, cursor: 'pointer', background: checked ? '#EEF2FF' : '#F9FAFB', border: `1px solid ${checked ? '#6366F1' : '#E5E7EB'}`, color: checked ? '#6366F1' : '#374151' }}>
+                                <input type="checkbox" style={{ display: 'none' }} checked={checked} onChange={() => {
+                                  const cur = toolPolicy.allowed_tools?.skill_ids || [];
+                                  const next = checked ? cur.filter((x: string) => x !== skill.id) : [...cur, skill.id];
+                                  setToolPolicy({ ...toolPolicy, allowed_tools: { ...(toolPolicy.allowed_tools || {}), skill_ids: next } });
+                                }} />
+                                {skill.skill_name}
+                              </label>
+                            );
+                          })}
+                        </div>
+                      </div>
+                      <div className="form-group" style={{ marginBottom: 0 }}>
+                        <label className="form-label">允许调用的 MCP 服务（不选 = 禁止调用任何 MCP）</label>
+                        <div style={{ display: 'flex', flexWrap: 'wrap', gap: 6, maxHeight: 160, overflowY: 'auto', padding: 8, border: '1px solid #E5E7EB', borderRadius: 6 }}>
+                          {availableMcps.length === 0 ? (
+                            <span style={{ color: '#9CA3AF', fontSize: 13 }}>暂无 MCP 服务</span>
+                          ) : availableMcps.map((m: any) => {
+                            const checked = (toolPolicy.allowed_tools?.mcp_ids || []).includes(m.id);
+                            return (
+                              <label key={m.id} style={{ display: 'flex', alignItems: 'center', gap: 4, padding: '4px 10px', borderRadius: 12, fontSize: 12, cursor: 'pointer', background: checked ? '#EEF2FF' : '#F9FAFB', border: `1px solid ${checked ? '#6366F1' : '#E5E7EB'}`, color: checked ? '#6366F1' : '#374151' }}>
+                                <input type="checkbox" style={{ display: 'none' }} checked={checked} onChange={() => {
+                                  const cur = toolPolicy.allowed_tools?.mcp_ids || [];
+                                  const next = checked ? cur.filter((x: string) => x !== m.id) : [...cur, m.id];
+                                  setToolPolicy({ ...toolPolicy, allowed_tools: { ...(toolPolicy.allowed_tools || {}), mcp_ids: next } });
+                                }} />
+                                {m.name}
+                              </label>
+                            );
+                          })}
+                        </div>
+                      </div>
+                      <div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr', gap: 16 }}>
+                        <div className="form-group" style={{ marginBottom: 0 }}>
+                          <label className="form-label">单对话最大调用次数（留空=不限制）</label>
+                          <input className="admin-form-input" type="number" min="0"
+                            value={toolPolicy.max_calls_per_conversation ?? ''}
+                            onChange={e => setToolPolicy({ ...toolPolicy, max_calls_per_conversation: e.target.value === '' ? null : parseInt(e.target.value) })} />
+                        </div>
+                        <div className="form-group" style={{ marginBottom: 0 }}>
+                          <label className="form-label">单轮最大调用次数（留空=不限制）</label>
+                          <input className="admin-form-input" type="number" min="0"
+                            value={toolPolicy.per_round_cap ?? ''}
+                            onChange={e => setToolPolicy({ ...toolPolicy, per_round_cap: e.target.value === '' ? null : parseInt(e.target.value) })} />
+                        </div>
+                      </div>
+                      <div className="form-group" style={{ marginBottom: 0 }}>
+                        <label className="form-label">额度耗尽提示语（可选）</label>
+                        <textarea className="admin-form-input" rows={2}
+                          value={toolPolicy.fallback_message || ''}
+                          onChange={e => setToolPolicy({ ...toolPolicy, fallback_message: e.target.value })}
+                          placeholder="例如：该智能体已达到工具调用上限，请开启新对话或调整智能体设置。" />
+                      </div>
+                    </div>
+                  )}
+                </div>
+              )}
             </div>
             <div className="modal-footer">
               <button className="admin-btn" onClick={() => setShowModal(false)}>取消</button>

frontend/src/pages/admin/Observability.tsx

@@ -0,0 +1,165 @@
+import { useEffect, useState } from 'react';
+import { adminAPI } from '@/api';
+
+interface Summary {
+  totals: { calls: number; tokens: number; cost: number; users: number };
+  by_model: { model_name: string; calls: number; tokens: number; cost: number }[];
+  by_user: { user_id: string; username: string; calls: number; tokens: number; cost: number }[];
+  daily: { date: string; tokens: number; cost: number; calls: number }[];
+  recent: { trace_id: string | null; model_name: string; tokens: number; cost: number; created_at: string | null }[];
+}
+
+const ACCENT = '#5B5FED';
+const ACCENT_HOVER = '#4A4ECC';
+
+export default function Observability() {
+  const [days, setDays] = useState(30);
+  const [data, setData] = useState<Summary | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [err, setErr] = useState('');
+
+  useEffect(() => {
+    let alive = true;
+    setLoading(true);
+    setErr('');
+    adminAPI.getObservabilitySummary(days)
+      .then((d: Summary) => { if (alive) setData(d); })
+      .catch((e: any) => { if (alive) setErr(e?.message || '加载失败'); })
+      .finally(() => { if (alive) setLoading(false); });
+    return () => { alive = false; };
+  }, [days]);
+
+  const maxTokens = data ? Math.max(1, ...data.daily.map(d => d.tokens)) : 1;
+  const maxModel = data ? Math.max(1, ...data.by_model.map(m => m.tokens)) : 1;
+  const fmt = (n: number) => n.toLocaleString('zh-CN');
+  const fmtCost = (n: number) => `¥${n.toFixed(4)}`;
+
+  const card: React.CSSProperties = {
+    background: '#fff', border: '1px solid #eceef5', borderRadius: 16,
+    padding: 20, boxShadow: '0 1px 3px rgba(20,30,60,0.04)', marginBottom: 18,
+  };
+  const stat: React.CSSProperties = {
+    flex: 1, minWidth: 150, background: '#fff', border: '1px solid #eceef5',
+    borderRadius: 16, padding: 18, boxShadow: '0 1px 3px rgba(20,30,60,0.04)',
+  };
+
+  return (
+    <div style={{ padding: 24, maxWidth: 1160, margin: '0 auto', color: '#1f2330' }}>
+      <div style={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between', marginBottom: 20, flexWrap: 'wrap', gap: 12 }}>
+        <div>
+          <h2 style={{ margin: 0, fontSize: 22, fontWeight: 700 }}>调用可观测</h2>
+          <div style={{ color: '#8a90a2', fontSize: 13, marginTop: 4 }}>
+            媒体 / LLM 调用归因 · 基于 trace_id 关联请求链路（Phase 2.2）
+          </div>
+        </div>
+        <div style={{ display: 'flex', gap: 8 }}>
+          {[7, 30, 90].map(d => (
+            <button key={d} onClick={() => setDays(d)}
+              style={{
+                padding: '7px 14px', borderRadius: 10, cursor: 'pointer', fontSize: 13,
+                border: `1px solid ${days === d ? ACCENT : '#e2e5ee'}`,
+                background: days === d ? ACCENT : '#fff',
+                color: days === d ? '#fff' : '#5b6172', fontWeight: 600,
+                transition: 'all .15s',
+              }}>
+              {d} 天
+            </button>
+          ))}
+        </div>
+      </div>
+
+      {err && <div style={{ ...card, borderColor: '#f3c2c2', color: '#c0392b' }}>{err}</div>}
+      {loading && !data && <div style={{ color: '#8a90a2' }}>加载中…</div>}
+
+      {data && (
+        <>
+          <div style={{ display: 'flex', gap: 14, flexWrap: 'wrap', marginBottom: 18 }}>
+            <div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>调用次数</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6 }}>{fmt(data.totals.calls)}</div></div>
+            <div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>Token 消耗</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6 }}>{fmt(data.totals.tokens)}</div></div>
+            <div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>成本</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6, color: ACCENT }}>{fmtCost(data.totals.cost)}</div></div>
+            <div style={stat}><div style={{ color: '#8a90a2', fontSize: 12 }}>活跃用户</div><div style={{ fontSize: 24, fontWeight: 700, marginTop: 6 }}>{fmt(data.totals.users)}</div></div>
+          </div>
+
+          <div style={card}>
+            <h3 style={{ margin: '0 0 14px', fontSize: 16 }}>按模型</h3>
+            <div style={{ display: 'flex', flexDirection: 'column', gap: 10 }}>
+              {data.by_model.length === 0 && <div style={{ color: '#8a90a2', fontSize: 13 }}>暂无数据</div>}
+              {data.by_model.map(m => (
+                <div key={m.model_name} style={{ display: 'flex', alignItems: 'center', gap: 12 }}>
+                  <div style={{ width: 150, fontSize: 13, fontWeight: 600, overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap' }}>{m.model_name}</div>
+                  <div style={{ flex: 1, height: 10, background: '#f1f3f9', borderRadius: 6, overflow: 'hidden' }}>
+                    <div style={{ width: `${(m.tokens / maxModel) * 100}%`, height: '100%', background: ACCENT, borderRadius: 6 }} />
+                  </div>
+                  <div style={{ width: 90, textAlign: 'right', fontSize: 13, color: '#5b6172' }}>{fmt(m.tokens)}</div>
+                  <div style={{ width: 90, textAlign: 'right', fontSize: 13, color: ACCENT }}>{fmtCost(m.cost)}</div>
+                </div>
+              ))}
+            </div>
+          </div>
+
+          <div style={card}>
+            <h3 style={{ margin: '0 0 14px', fontSize: 16 }}>每日趋势（Token）</h3>
+            <div style={{ display: 'flex', alignItems: 'flex-end', gap: 6, height: 140, overflowX: 'auto', paddingBottom: 4 }}>
+              {data.daily.length === 0 && <div style={{ color: '#8a90a2', fontSize: 13 }}>暂无数据</div>}
+              {data.daily.map(d => (
+                <div key={d.date} title={`${d.date} · ${fmt(d.tokens)} tokens · ${fmtCost(d.cost)}`}
+                  style={{ display: 'flex', flexDirection: 'column', alignItems: 'center', gap: 4, minWidth: 22 }}>
+                  <div style={{ width: 16, height: `${(d.tokens / maxTokens) * 110}px`, background: ACCENT, borderRadius: '4px 4px 0 0', opacity: 0.85 }} />
+                  <div style={{ fontSize: 9, color: '#aab', transform: 'rotate(-45deg)', whiteSpace: 'nowrap' }}>{d.date.slice(5)}</div>
+                </div>
+              ))}
+            </div>
+          </div>
+
+          <div style={{ display: 'flex', gap: 18, flexWrap: 'wrap' }}>
+            <div style={{ ...card, flex: 1, minWidth: 320 }}>
+              <h3 style={{ margin: '0 0 14px', fontSize: 16 }}>按用户（Top 20）</h3>
+              <table style={{ width: '100%', borderCollapse: 'collapse', fontSize: 13 }}>
+                <thead><tr style={{ color: '#8a90a2', textAlign: 'left' }}>
+                  <th style={th}>用户</th><th style={thR}>调用</th><th style={thR}>Token</th><th style={thR}>成本</th>
+                </tr></thead>
+                <tbody>
+                  {data.by_user.map(u => (
+                    <tr key={u.user_id} style={{ borderTop: '1px solid #f1f3f9' }}>
+                      <td style={td}>{u.username}</td>
+                      <td style={tdR}>{fmt(u.calls)}</td>
+                      <td style={tdR}>{fmt(u.tokens)}</td>
+                      <td style={{ ...tdR, color: ACCENT }}>{fmtCost(u.cost)}</td>
+                    </tr>
+                  ))}
+                  {data.by_user.length === 0 && <tr><td colSpan={4} style={{ ...td, color: '#8a90a2' }}>暂无数据</td></tr>}
+                </tbody>
+              </table>
+            </div>
+          </div>
+
+          <div style={card}>
+            <h3 style={{ margin: '0 0 14px', fontSize: 16 }}>最近调用（trace_id 可下钻）</h3>
+            <table style={{ width: '100%', borderCollapse: 'collapse', fontSize: 13 }}>
+              <thead><tr style={{ color: '#8a90a2', textAlign: 'left' }}>
+                <th style={th}>Trace ID</th><th style={th}>模型</th><th style={thR}>Token</th><th style={thR}>成本</th><th style={thR}>时间</th>
+              </tr></thead>
+              <tbody>
+                {data.recent.map((r, i) => (
+                  <tr key={(r.trace_id || '') + i} style={{ borderTop: '1px solid #f1f3f9' }}>
+                    <td style={{ ...td, fontFamily: 'monospace', fontSize: 12, maxWidth: 200, overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap' }}>{r.trace_id || '—'}</td>
+                    <td style={td}>{r.model_name}</td>
+                    <td style={tdR}>{fmt(r.tokens)}</td>
+                    <td style={{ ...tdR, color: ACCENT }}>{fmtCost(r.cost)}</td>
+                    <td style={tdR}>{r.created_at || '—'}</td>
+                  </tr>
+                ))}
+                {data.recent.length === 0 && <tr><td colSpan={5} style={{ ...td, color: '#8a90a2' }}>暂无数据</td></tr>}
+              </tbody>
+            </table>
+          </div>
+        </>
+      )}
+    </div>
+  );
+}
+
+const th: React.CSSProperties = { padding: '8px 6px', fontWeight: 600, fontSize: 12 };
+const thR: React.CSSProperties = { ...th, textAlign: 'right' };
+const td: React.CSSProperties = { padding: '8px 6px' };
+const tdR: React.CSSProperties = { ...td, textAlign: 'right', color: '#5b6172' };

migrations/021_create_conversation_summaries.sql

@@ -0,0 +1,7 @@
+CREATE TABLE IF NOT EXISTS conversation_summaries (
+  conversation_id VARCHAR(64) NOT NULL,
+  summary_text TEXT NULL,
+  token_count INT NULL DEFAULT 0,
+  updated_at DATETIME(3) NULL,
+  PRIMARY KEY (conversation_id)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

migrations/022_add_tool_policy.sql

@@ -0,0 +1,15 @@
+-- Phase 3.1: MarketApp 增加 tool_policy（Agent 工具/MCP 权限沙箱策略）
+-- 幂等：仅当列不存在时才 ALTER
+SET @db = 'aiflow';
+SET @tbl = 'market_apps';
+SET @col = 'tool_policy';
+SET @exists = (
+    SELECT COUNT(*) FROM information_schema.columns
+    WHERE table_schema = @db AND table_name = @tbl AND column_name = @col
+);
+SET @sql = IF(@exists = 0,
+    'ALTER TABLE market_apps ADD COLUMN tool_policy JSON NULL',
+    'SELECT 1');
+PREPARE stmt FROM @sql;
+EXECUTE stmt;
+DEALLOCATE PREPARE stmt;

migrations/023_widen_agent_api_key.sql

@@ -0,0 +1,11 @@
+-- Phase 3.2: 放宽 market_apps.agent_api_key 容量以容纳 Fernet 密文
+SET @db = DATABASE();
+SET @tbl = 'market_apps';
+SET @col = 'agent_api_key';
+SELECT COLUMN_TYPE INTO @ctype FROM information_schema.COLUMNS WHERE TABLE_SCHEMA=@db AND TABLE_NAME=@tbl AND COLUMN_NAME=@col;
+SET @sql = IF(@ctype IS NULL OR @ctype NOT LIKE '%text%',
+  CONCAT('ALTER TABLE ', @tbl, ' MODIFY COLUMN ', @col, ' TEXT NULL COMMENT \'Agent 接入 API Key(3.2 起 Fernet 加密存储)\''),
+  'SELECT 1');
+PREPARE stmt FROM @sql;
+EXECUTE stmt;
+DEALLOCATE PREPARE stmt;

migrations/024_add_orchestration.sql

@@ -0,0 +1,15 @@
+-- Phase 3.3: MarketApp 增加 orchestration（Agent 多 Agent 编排图，JSON）
+-- 幂等：仅当列不存在时才 ALTER
+SET @db = 'aiflow';
+SET @tbl = 'market_apps';
+SET @col = 'orchestration';
+SET @exists = (
+    SELECT COUNT(*) FROM information_schema.columns
+    WHERE table_schema = @db AND table_name = @tbl AND column_name = @col
+);
+SET @sql = IF(@exists = 0,
+    "ALTER TABLE market_apps ADD COLUMN orchestration JSON NULL COMMENT 'Agent 多Agent编排图(3.3)'",
+    'SELECT 1');
+PREPARE stmt FROM @sql;
+EXECUTE stmt;
+DEALLOCATE PREPARE stmt;