JOJO
a2cf547400
- 新增 modules/i18n.py：tr() + 进程级语言缓存 + modules/i18n_messages/ 域文案包自动聚合 - 新增 29 个域文案包，共 1153 条双语 key；90+ 源文件 1146 处用户可见消息 tr 化 - ui_locale 存入 personalization.json（用户级共享），前后端双向同步 - 前端匹配点双语兼容（history/shared/ChatArea/taskPolling/upload 等正则） - 修复语言判等陷阱：审批等待加稳定 code 字段；conversation.py 不存在判等改双语 helper - 边界：日志/prompt 注入/子智能体工具回填/容器内嵌脚本不迁移
344 lines
16 KiB
Python
344 lines
16 KiB
Python
"""工作流阶段审核智能体（Workflow Review Agent）。
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由 modules/goal_review_agent.py fork 而来。职责不同：
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- goal_review_agent 判断"长期目标是否真正达成"（done/continue）。
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- workflow_review_agent 判断"工作流当前阶段的产出是否达到进入下一阶段的门槛"（pass/reject）。
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两种审核模式（与 goal_review 同构）：
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- readonly：只给 report_workflow_review 一个工具，不注入 run_command。
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- active：额外注入只读 run_command 工具，允许其取证后再下结论。
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返回结构：{"decision": "pass"|"reject", "message": str, "source": "workflow_review_agent"}。
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兜底（异常/超时/未产出结论/配置缺失）一律返回 reject，message 说明审核服务异常
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并提示主智能体「请告知用户」——定稿决策：审核异常视为驳回（计入 reject_counts），
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用户看到消息后能发现是审核服务问题而非真实驳回。
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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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from modules.i18n import tr
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PROMPT_NAME = "workflow_review_agent.txt"
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DEFAULT_TIMEOUT_SECONDS = 120
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DEFAULT_MAX_ROUNDS = 6
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DEFAULT_MAX_COMMAND_TIMEOUT = 60
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DEBUG_SAVE_WORKFLOW_REVIEW_TRANSCRIPT = True
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DEBUG_TRANSCRIPT_DIR = Path(LOGS_DIR) / "workflow_review_agent"
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def load_workflow_review_agent_config() -> Dict[str, Any]:
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"""加载工作流审核智能体配置：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("workflow_review")
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cfg["name"] = "workflow-review-agent"
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return cfg
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class WorkflowReviewAgent:
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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_workflow_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 = "你是工作流阶段审核智能体。你必须调用 report_workflow_review 返回 pass 或 reject。"
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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_workflow_review",
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"description": (
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"提交工作流阶段审核结论并结束本次审核。pass=阶段产出合格，进入下一阶段；"
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"reject=阶段产出不合格，打回整改。"
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),
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"parameters": {
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"type": "object",
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"properties": {
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"decision": {
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"type": "string",
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"enum": ["pass", "reject"],
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"description": "pass=通过；reject=驳回。",
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},
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"message": {
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"type": "string",
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"description": (
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"decision=pass 时简述通过理由（给主智能体与用户看）；"
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"decision=reject 时写给主执行模型的整改意见，需具体可执行，"
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"指出缺什么、怎么补、重新审核时要看到什么证据。"
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),
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},
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},
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"required": ["decision", "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、运行测试以核实阶段产出是否合格。"
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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_WORKFLOW_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_WORKFLOW_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"workflow_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 _reject(message: str) -> Dict[str, Any]:
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return {"decision": "reject", "message": message or tr("workflow_review.fallback_reject"), "source": "workflow_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 = _reject(tr("workflow_review.config_missing"))
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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 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 rounds > max_rounds:
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out = _reject(tr("workflow_review.max_rounds_no_conclusion"))
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_flush_trace(out)
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return out
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if progress_cb:
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progress_cb({"stage": "model_call", "round": rounds, "message": tr("workflow_review.round_progress", round=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 = _reject(tr("workflow_review.request_failed", code=retry_resp.status_code))
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_flush_trace(out)
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return out
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else:
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out = _reject(
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tr("workflow_review.request_failed", code=exc.response.status_code if exc.response else "unknown")
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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 = _reject(tr("workflow_review.request_exception", error=exc))
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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_workflow_review 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_workflow_review 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_workflow_review":
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decision = str(args.get("decision") or "").strip().lower()
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message = str(args.get("message") or "").strip()
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if decision == "pass":
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out = {"decision": "pass", "message": message or tr("workflow_review.pass_default_message"), "source": "workflow_review_agent"}
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_flush_trace(out)
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return out
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if decision == "reject":
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out = _reject(message or tr("workflow_review.reject_default_message"))
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_flush_trace(out)
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return out
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# 非法 decision：保守驳回
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out = _reject(message or tr("workflow_review.unrecognized_conclusion"))
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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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