JOJO
4d9b709a9e
工作流运行时： - 状态机与编排：modules/workflow_state_manager.py + server/workflow_flow.py （激活快照/阶段推进/审核节点/分支决策/柔性通知/max_stage_rounds 撞限询问） - 五个工具（activate/report_stage/choose_branch/get_status/deactivate） 与 REST API（server/workflow_runtime_api.py） - 前端：QuickDock 工作流窗口（三段式进度，推进/驳回/完成/退出动画）、 slash 菜单激活与退出、轮询事件消费、进入对话状态回填 - 审核：modules/workflow_review_agent.py（pass/reject 把关节点） 审核智能体统一配置： - 个人空间新增「审核智能体」标签页：自动审批/目标/工作流三个审核智能体 统一选择模型+思考模式+超时/轮次参数 - modules/review_agent_config.py 统一解析（复用子智能体模型库）， 废除独立 json 配置（auto_approval/goal_review/workflow_review） - goal 审核接入 max_rounds 上限（原常量未接线）；workflow 审核硬编码 6 轮改为可配 联调修复： - /new 空对话激活：后端自动创建对话并完整继承模式参数 （work_mode/permission/execution/reasoning_effort，修复思考模式丢失） - 激活/通知消息 starts_work=True，恢复智能体回复头部与工作计时 - 节点目录改为从开始节点拓扑遍历（修复按保存顺序显示错乱） - QuickDock 乐观掩码不再掩盖工作流实时状态（修复 /new 激活窗口瞬关+延迟瞬开）； /new 路由不套用全局内容缓存（修复空对话展开空白数秒后收回） - 工作流完成先广播完成态快照再摘牌，窗口播完落定+退出动画再收起 - 激活提示中的工具名修正为 report_workflow_stage
343 lines
16 KiB
Python
343 lines
16 KiB
Python
"""目标审核智能体（Goal Review Agent）。
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由 modules/approval_agent.py fork 而来。职责不同：
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- approval_agent 判断"工具调用是否越权/危险"。
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- goal_review_agent 判断"长期目标是否真正达成"。
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两种审核模式：
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- readonly：只给 report_goal_status 一个工具，不注入 run_command，system prompt 不含模式说明。
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- active：额外注入只读 run_command 工具，system prompt 追加一句允许其取证。
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返回结构：{"status": "done"|"continue", "message": str, "source": "goal_review_agent"}。
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兜底（超轮/异常/未产出结论）保守返回 continue，避免误判完成。
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"""
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from __future__ import annotations
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import json
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import time
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import uuid
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from pathlib import Path
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from typing import Any, Callable, Dict, List, Optional
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import httpx
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from config import PROMPTS_DIR, LOGS_DIR
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from modules.goal_state_manager import REVIEW_MODE_ACTIVE, REVIEW_MODE_READONLY
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from modules.review_agent_config import resolve_review_agent_config
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PROMPT_NAME = "goal_review_agent.txt"
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DEFAULT_MAX_ROUNDS = 3
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DEFAULT_TIMEOUT_SECONDS = 60
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DEFAULT_MAX_COMMAND_TIMEOUT = 60
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DEBUG_SAVE_GOAL_REVIEW_TRANSCRIPT = True
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DEBUG_TRANSCRIPT_DIR = Path(LOGS_DIR) / "goal_review_agent"
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# 兜底续命消息（审核智能体未能产出明确结论时使用）
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FALLBACK_CONTINUE_MESSAGE = "审核未能给出明确结论。请重新对照目标核查当前进度，找出尚未完成的部分并继续推进。"
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def load_goal_review_agent_config() -> Dict[str, Any]:
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"""加载目标审核智能体配置：统一走个人空间「审核智能体」设置 + 子智能体模型库。"""
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cfg = resolve_review_agent_config("goal_review")
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cfg["name"] = "goal-review-agent"
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return cfg
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class GoalReviewAgent:
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def __init__(self, *, web_terminal: Any):
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self.web_terminal = web_terminal
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self.cfg = load_goal_review_agent_config()
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@staticmethod
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def _system_prompt(review_mode: str) -> str:
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try:
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template = (Path(PROMPTS_DIR) / PROMPT_NAME).read_text(encoding="utf-8")
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except Exception:
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template = "你是目标审核智能体。你必须调用 report_goal_status 返回 done 或 continue。"
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active_start = "{{ACTIVE_REVIEW_ONLY}}"
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active_end = "{{/ACTIVE_REVIEW_ONLY}}"
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if review_mode == REVIEW_MODE_ACTIVE:
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return template.replace(active_start, "").replace(active_end, "").strip()
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while active_start in template and active_end in template:
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start = template.find(active_start)
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end = template.find(active_end, start)
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if start < 0 or end < 0:
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break
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template = template[:start] + template[end + len(active_end):]
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return template.strip()
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@staticmethod
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def _report_tool() -> Dict[str, Any]:
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return {
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"type": "function",
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"function": {
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"name": "report_goal_status",
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"description": (
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"提交目标审核结论并结束本次审核。done=目标已达成，结束循环；"
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"continue=尚未达成，需主执行模型继续工作。"
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),
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"parameters": {
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"type": "object",
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"properties": {
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"status": {
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"type": "string",
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"enum": ["done", "continue"],
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"description": "done=目标已达成；continue=尚未达成，继续下一轮。",
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},
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"message": {
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"type": "string",
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"description": (
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"status=done 时写给用户的完成总结；"
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"status=continue 时写给主执行模型的下一步指示，需具体可执行。"
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),
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},
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},
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"required": ["status", "message"],
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},
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},
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}
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@staticmethod
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def _run_command_tool() -> Dict[str, Any]:
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return {
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"type": "function",
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"function": {
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"name": "run_command",
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"description": (
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"在终端中执行只读指令。可用于查看文件内容、搜索代码/文本、检查目录结构、"
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"查看 git 状态与差异、运行测试以核实目标是否达成。"
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"禁止用于写入、删除、改权限或其他修改性操作。"
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),
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"parameters": {
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"type": "object",
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"properties": {
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"command": {
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"type": "string",
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"description": (
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"要执行的终端命令字符串。应优先使用只读命令，例如 ls、cat、grep、find、"
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"rg、git status、git diff、pwd、stat、以及运行测试的命令等。"
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),
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}
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},
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"required": ["command"],
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},
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},
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}
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def _build_tools(self, review_mode: str) -> List[Dict[str, Any]]:
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if review_mode == REVIEW_MODE_ACTIVE:
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return [self._run_command_tool(), self._report_tool()]
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return [self._report_tool()]
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async def _run_readonly_command(self, command: str) -> Dict[str, Any]:
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work_path = Path(getattr(self.web_terminal.context_manager, "project_path", "."))
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timeout = int(self.cfg.get("max_command_timeout") or DEFAULT_MAX_COMMAND_TIMEOUT)
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try:
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result = await self.web_terminal.terminal_ops.run_command(
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command=command,
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working_dir=str(work_path),
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timeout=timeout,
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sandbox_write_access=False,
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)
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return result if isinstance(result, dict) else {"success": False, "error": "run_command 返回格式异常"}
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except Exception as exc:
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return {"success": False, "error": str(exc)}
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async def review(
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self,
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*,
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payload_text: str,
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review_mode: str = REVIEW_MODE_READONLY,
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progress_cb: Optional[Callable[[Dict[str, Any]], None]] = None,
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cancel_check: Optional[Callable[[], Optional[Dict[str, Any]]]] = None,
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) -> Dict[str, Any]:
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review_mode = review_mode if review_mode in (REVIEW_MODE_READONLY, REVIEW_MODE_ACTIVE) else REVIEW_MODE_READONLY
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debug_transcript: List[Dict[str, Any]] = []
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def _trace(event: str, payload: Dict[str, Any]) -> None:
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if not DEBUG_SAVE_GOAL_REVIEW_TRANSCRIPT:
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return
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debug_transcript.append({"ts": int(time.time() * 1000), "event": event, "payload": payload})
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def _flush_trace(final_result: Dict[str, Any]) -> None:
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if not DEBUG_SAVE_GOAL_REVIEW_TRANSCRIPT:
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return
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try:
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DEBUG_TRANSCRIPT_DIR.mkdir(parents=True, exist_ok=True)
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row = {
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"created_at": int(time.time() * 1000),
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"review_mode": review_mode,
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"messages": messages,
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"trace": debug_transcript,
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"final_result": final_result,
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}
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file = DEBUG_TRANSCRIPT_DIR / f"goal_review_{int(time.time() * 1000)}.json"
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file.write_text(json.dumps(row, ensure_ascii=False, indent=2), encoding="utf-8")
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except Exception:
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pass
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def _continue(message: str) -> Dict[str, Any]:
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return {"status": "continue", "message": message or FALLBACK_CONTINUE_MESSAGE, "source": "goal_review_agent"}
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url = str(self.cfg.get("url") or "").strip()
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key = str(self.cfg.get("key") or "").strip()
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model = str(self.cfg.get("model") or "").strip()
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if not url or not key or not model:
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out = _continue("目标审核智能体配置缺失，无法判断完成情况，请继续推进目标。")
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_flush_trace(out)
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return out
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endpoint = f"{url.rstrip('/')}/chat/completions"
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headers = {"Authorization": f"Bearer {key}", "Content-Type": "application/json"}
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timeout_seconds = int(self.cfg.get("timeout_seconds") or DEFAULT_TIMEOUT_SECONDS)
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max_rounds = max(1, int(self.cfg.get("max_rounds") or DEFAULT_MAX_ROUNDS))
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extra_params = dict(self.cfg.get("extra_params") or {})
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tools = self._build_tools(review_mode)
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messages: List[Dict[str, Any]] = [
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{"role": "system", "content": self._system_prompt(review_mode)},
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{"role": "user", "content": payload_text},
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]
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async with httpx.AsyncClient(timeout=timeout_seconds) as client:
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rounds = 0
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forced_tool_retry_used = False
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while True:
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rounds += 1
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if rounds > max_rounds:
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out = _continue(f"目标审核超过 {max_rounds} 轮未产出结论，请继续推进目标。")
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_flush_trace(out)
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return out
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if cancel_check:
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external = cancel_check()
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if external:
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return external
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if progress_cb:
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progress_cb({"stage": "model_call", "round": rounds, "message": f"审核轮次 {rounds}"})
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req = {
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"model": model,
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"messages": messages,
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"tools": tools,
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"tool_choice": "auto",
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"temperature": 0.0,
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**extra_params,
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}
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_trace("request", {"round": rounds, "request": req})
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try:
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resp = await client.post(endpoint, headers=headers, json=req)
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resp.raise_for_status()
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except httpx.HTTPStatusError as exc:
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body = ""
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try:
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body = exc.response.text
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except Exception:
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body = str(exc)
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_trace("http_error", {"round": rounds, "status_code": exc.response.status_code if exc.response else None, "body": body})
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# 兼容某些模型/网关不接受额外参数：自动降级重试一次（去掉 extra_params）
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if extra_params:
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retry_req = {
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"model": model,
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"messages": messages,
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"tools": tools,
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"tool_choice": "auto",
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"temperature": 0.0,
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}
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_trace("retry_request_without_extra_params", {"round": rounds, "request": retry_req})
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retry_resp = await client.post(endpoint, headers=headers, json=retry_req)
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try:
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retry_resp.raise_for_status()
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resp = retry_resp
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except httpx.HTTPStatusError:
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out = _continue(f"目标审核请求失败({retry_resp.status_code})，请继续推进目标。")
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_flush_trace(out)
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return out
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else:
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out = _continue(
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f"目标审核请求失败({exc.response.status_code if exc.response else 'unknown'})，请继续推进目标。"
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)
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_flush_trace(out)
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return out
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except Exception as exc:
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_trace("request_exception", {"round": rounds, "error": str(exc)})
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out = _continue("目标审核请求异常，请继续推进目标。")
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_flush_trace(out)
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return out
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choice = ((resp.json().get("choices") or [{}])[0] or {}).get("message") or {}
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reasoning_content = (
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choice.get("reasoning_content") or choice.get("reasoning") or choice.get("thinking") or ""
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)
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_trace("response", {"round": rounds, "message": choice, "reasoning_content": reasoning_content})
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tool_calls = choice.get("tool_calls") or []
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content = choice.get("content")
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if not tool_calls:
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if content or reasoning_content:
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messages.append(
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{
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"role": "assistant",
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"content": str(content or ""),
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"reasoning_content": str(reasoning_content or ""),
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}
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)
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reminder = (
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"禁止直接输出结论文本。必须调用工具：必要时先调用 run_command 核实，"
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"再调用 report_goal_status 给出最终结论。"
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)
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if not forced_tool_retry_used:
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forced_tool_retry_used = True
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reminder = "你刚刚未通过工具给出明确结果。必须调用工具，禁止直接输出内容。请立即调用 report_goal_status 返回最终结论。"
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messages.append({"role": "user", "content": reminder})
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continue
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# 有 tool_calls：追加完整 assistant 消息（与主智能体结构对齐）
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assistant_message = {
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"role": "assistant",
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"content": str(content or ""),
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"reasoning_content": str(reasoning_content or ""),
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"tool_calls": tool_calls,
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}
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messages.append(assistant_message)
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for call in tool_calls:
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fn = (call.get("function") or {}).get("name")
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raw_args = (call.get("function") or {}).get("arguments") or "{}"
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try:
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args = json.loads(raw_args) if isinstance(raw_args, str) else (raw_args or {})
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except Exception:
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args = {}
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if fn == "report_goal_status":
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status = str(args.get("status") or "").strip().lower()
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message = str(args.get("message") or "").strip()
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if status == "done":
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out = {"status": "done", "message": message or "目标已达成。", "source": "goal_review_agent"}
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_flush_trace(out)
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return out
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if status == "continue":
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out = _continue(message)
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_flush_trace(out)
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return out
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# 非法 status：保守续命
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out = _continue(message or "审核返回了无法识别的状态，请继续推进目标。")
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_flush_trace(out)
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return out
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if fn == "run_command":
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cmd = str(args.get("command") or "").strip()
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if progress_cb:
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progress_cb({"stage": "run_command", "round": rounds, "command": cmd})
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tool_result = await self._run_readonly_command(cmd) if cmd else {"success": False, "error": "command 不能为空"}
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_trace("tool_result", {"round": rounds, "tool": "run_command", "command": cmd, "result": tool_result})
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tool_content = json.dumps(tool_result, ensure_ascii=False)
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messages.append(
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{
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"role": "tool",
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"content": tool_content,
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"timestamp": time.strftime("%Y-%m-%dT%H:%M:%S", time.localtime())
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+ f".{int((time.time() % 1) * 1000000):06d}",
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"message_id": f"msg_{uuid.uuid4().hex}",
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"tool_call_id": call.get("id"),
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"name": "run_command",
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}
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)
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