aiagent/backend/scripts/create_main_agent.py

#!/usr/bin/env python3
"""
创建/更新「主控台Main Agent」：负责需求分流，不直接执行重任务。

输出协议（末行单行 JSON）:
{
  "action": "route_agent" | "clarify" | "answer_directly",
  "target_agent_name": "知你客服16号",
  "target_agent_id": "",
  "input": {"query": "...", "user_id": "..."},
  "reason": "路由原因",
  "reply": "给用户看的话"
}
"""
from __future__ import annotations

import copy
import json
import os
import sys
from typing import Any, Dict, Optional

import requests

BASE = os.getenv("PLATFORM_BASE_URL", "http://127.0.0.1:8037").rstrip("/")
USER = os.getenv("PLATFORM_USERNAME")
PWD = os.getenv("PLATFORM_PASSWORD")
SOURCE_NAME = os.getenv("SOURCE_AGENT_NAME", "知你客服14号")
TARGET_NAME = os.getenv("TARGET_NAME", "主控台Main Agent")

PROMPT_MAIN = """
你是企业 Agent 主控台入口。你负责把用户请求路由到最合适的场景 Agent。

路由建议：
- 需求分析/代码开发/多步执行：优先路由「知你客服16号」
- 普通客服问答：可路由「知你客服14号」
- 若信息不足，先澄清再路由

必须输出一行合法 JSON（无 markdown）：
{
  "action": "route_agent" | "clarify" | "answer_directly",
  "target_agent_name": "知你客服16号",
  "target_agent_id": "",
  "input": {"query": "{{user_input}}", "user_id": "{{user_id}}"},
  "reason": "为何这样路由",
  "reply": "给用户看的一句话"
}
""".strip()


def _find_agent_id_by_name(h: Dict[str, str], name: str) -> Optional[str]:
    r = requests.get(f"{BASE}/api/v1/agents", params={"search": name, "limit": 50}, headers=h, timeout=30)
    if r.status_code != 200:
        return None
    for a in r.json() or []:
        if a.get("name") == name:
            return a.get("id")
    return None


def _patch_main_llm(wf: Dict[str, Any]) -> None:
    for n in wf.get("nodes") or []:
        if n.get("id") != "llm-unified":
            continue
        d = n.setdefault("data", {})
        d["prompt"] = PROMPT_MAIN
        d["enable_tools"] = False
        d["tools"] = []
        d["selected_tools"] = []
        d["temperature"] = 0.2
        return
    print("警告: 未找到节点 llm-unified", file=sys.stderr)


def main() -> int:
    r = requests.post(
        f"{BASE}/api/v1/auth/login",
        data={"username": USER, "password": PWD},
        headers={"Content-Type": "application/x-www-form-urlencoded"},
        timeout=15,
    )
    if r.status_code != 200:
        print("登录失败:", r.status_code, r.text[:500], file=sys.stderr)
        return 1
    token = r.json().get("access_token")
    if not token:
        print("无 access_token", file=sys.stderr)
        return 1
    h = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}

    src_id = _find_agent_id_by_name(h, SOURCE_NAME)
    if not src_id:
        print(f"未找到源 Agent: {SOURCE_NAME}", file=sys.stderr)
        return 1

    existing = _find_agent_id_by_name(h, TARGET_NAME)
    if existing:
        new_id = existing
        g = requests.get(f"{BASE}/api/v1/agents/{new_id}", headers=h, timeout=30)
        if g.status_code != 200:
            print("读取失败:", g.text[:600], file=sys.stderr)
            return 1
        agent = g.json()
        print("已存在，更新:", TARGET_NAME, new_id)
    else:
        dup = requests.post(
            f"{BASE}/api/v1/agents/{src_id}/duplicate",
            headers=h,
            json={"name": TARGET_NAME},
            timeout=60,
        )
        if dup.status_code != 201:
            print("复制失败:", dup.status_code, dup.text[:800], file=sys.stderr)
            return 1
        agent = dup.json()
        new_id = agent["id"]
        print("已创建:", TARGET_NAME, new_id)

    wf = copy.deepcopy(agent["workflow_config"])
    _patch_main_llm(wf)

    desc = (
        "主控台路由Agent：仅做任务理解与场景路由，输出结构化 action JSON；"
        "默认建议需求分析/代码开发路由到知你客服16号。"
    )
    up = requests.put(
        f"{BASE}/api/v1/agents/{new_id}",
        headers=h,
        json={"description": desc, "workflow_config": wf},
        timeout=120,
    )
    if up.status_code != 200:
        print("更新失败:", up.status_code, up.text[:1000], file=sys.stderr)
        return 1

    print(json.dumps({"id": new_id, "name": TARGET_NAME}, ensure_ascii=False))
    return 0


if __name__ == "__main__":
    raise SystemExit(main())