"""目标审核智能体（Goal Review Agent）。 由 modules/approval_agent.py fork 而来。职责不同： - approval_agent 判断"工具调用是否越权/危险"。 - goal_review_agent 判断"长期目标是否真正达成"。 两种审核模式： - readonly：只给 report_goal_status 一个工具，不注入 run_command，system prompt 不含模式说明。 - active：额外注入只读 run_command 工具，system prompt 追加一句允许其取证。 返回结构：{"status": "done"|"continue", "message": str, "source": "goal_review_agent"}。 兜底（超轮/异常/未产出结论）保守返回 continue，避免误判完成。 """ from __future__ import annotations import json import os import time import uuid from pathlib import Path from typing import Any, Callable, Dict, List, Optional import httpx from config import PROMPTS_DIR, resolve_deploy_config, LOGS_DIR from modules.goal_state_manager import REVIEW_MODE_ACTIVE, REVIEW_MODE_READONLY # 部署级配置（目标审核智能体 url/key/model，含密钥引用）→ 优先 ~/.agents//config CONFIG_PATH = Path(resolve_deploy_config("goal_review.json")) PROMPT_NAME = "goal_review_agent.txt" DEFAULT_MAX_ROUNDS = 3 DEFAULT_TIMEOUT_SECONDS = 60 DEFAULT_MAX_COMMAND_TIMEOUT = 60 DEBUG_SAVE_GOAL_REVIEW_TRANSCRIPT = True DEBUG_TRANSCRIPT_DIR = Path(LOGS_DIR) / "goal_review_agent" # 兜底续命消息（审核智能体未能产出明确结论时使用） 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。" def _resolve_env_token(value: str) -> str: text = str(value or "").strip() if text.startswith("${") and text.endswith("}"): key = text[2:-1].strip() return os.environ.get(key, "") return text def load_goal_review_agent_config() -> Dict[str, Any]: base = { "name": "goal-review-agent", "url": "", "key": "", "model": "", "extra_params": {}, "timeout_seconds": DEFAULT_TIMEOUT_SECONDS, "max_command_timeout": DEFAULT_MAX_COMMAND_TIMEOUT, } try: if not CONFIG_PATH.exists(): return base raw = json.loads(CONFIG_PATH.read_text(encoding="utf-8")) if isinstance(raw, dict): base.update(raw) base["url"] = _resolve_env_token(base.get("url", "")) base["key"] = _resolve_env_token(base.get("key", "")) base["model"] = str(base.get("model") or "").strip() base["extra_params"] = base.get("extra_params") if isinstance(base.get("extra_params"), dict) else {} base["timeout_seconds"] = int(base.get("timeout_seconds") or DEFAULT_TIMEOUT_SECONDS) base["max_command_timeout"] = max(1, int(base.get("max_command_timeout") or DEFAULT_MAX_COMMAND_TIMEOUT)) return base except Exception: return base class GoalReviewAgent: def __init__(self, *, web_terminal: Any): self.web_terminal = web_terminal self.cfg = load_goal_review_agent_config() @staticmethod def _system_prompt(review_mode: str) -> str: try: template = (Path(PROMPTS_DIR) / PROMPT_NAME).read_text(encoding="utf-8") except Exception: template = "你是目标审核智能体。你必须调用 report_goal_status 返回 done 或 continue。" active_start = "{{ACTIVE_REVIEW_ONLY}}" active_end = "{{/ACTIVE_REVIEW_ONLY}}" if review_mode == REVIEW_MODE_ACTIVE: return template.replace(active_start, "").replace(active_end, "").strip() while active_start in template and active_end in template: start = template.find(active_start) end = template.find(active_end, start) if start < 0 or end < 0: break template = template[:start] + template[end + len(active_end):] return template.strip() @staticmethod def _report_tool() -> Dict[str, Any]: return { "type": "function", "function": { "name": "report_goal_status", "description": ( "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；" "continue=尚未达成，需主执行模型继续工作。" ), "parameters": { "type": "object", "properties": { "status": { "type": "string", "enum": ["done", "continue"], "description": "done=目标已达成；continue=尚未达成，继续下一轮。", }, "message": { "type": "string", "description": ( "status=done 时写给用户的完成总结；" "status=continue 时写给主执行模型的下一步指示，需具体可执行。" ), }, }, "required": ["status", "message"], }, }, } @staticmethod def _run_command_tool() -> Dict[str, Any]: return { "type": "function", "function": { "name": "run_command", "description": ( "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、" "查看 git 状态与差异、运行测试以核实目标是否达成。" "禁止用于写入、删除、改权限或其他修改性操作。" ), "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": ( "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、" "rg、git status、git diff、pwd、stat、以及运行测试的命令等。" ), } }, "required": ["command"], }, }, } def _build_tools(self, review_mode: str) -> List[Dict[str, Any]]: if review_mode == REVIEW_MODE_ACTIVE: return [self._run_command_tool(), self._report_tool()] return [self._report_tool()] async def _run_readonly_command(self, command: str) -> Dict[str, Any]: work_path = Path(getattr(self.web_terminal.context_manager, "project_path", ".")) timeout = int(self.cfg.get("max_command_timeout") or DEFAULT_MAX_COMMAND_TIMEOUT) try: result = await self.web_terminal.terminal_ops.run_command( command=command, working_dir=str(work_path), timeout=timeout, sandbox_write_access=False, ) return result if isinstance(result, dict) else {"success": False, "error": "run_command 返回格式异常"} except Exception as exc: return {"success": False, "error": str(exc)} async def review( self, *, payload_text: str, review_mode: str = REVIEW_MODE_READONLY, progress_cb: Optional[Callable[[Dict[str, Any]], None]] = None, cancel_check: Optional[Callable[[], Optional[Dict[str, Any]]]] = None, ) -> Dict[str, Any]: review_mode = review_mode if review_mode in (REVIEW_MODE_READONLY, REVIEW_MODE_ACTIVE) else REVIEW_MODE_READONLY debug_transcript: List[Dict[str, Any]] = [] def _trace(event: str, payload: Dict[str, Any]) -> None: if not DEBUG_SAVE_GOAL_REVIEW_TRANSCRIPT: return debug_transcript.append({"ts": int(time.time() * 1000), "event": event, "payload": payload}) def _flush_trace(final_result: Dict[str, Any]) -> None: if not DEBUG_SAVE_GOAL_REVIEW_TRANSCRIPT: return try: DEBUG_TRANSCRIPT_DIR.mkdir(parents=True, exist_ok=True) row = { "created_at": int(time.time() * 1000), "review_mode": review_mode, "messages": messages, "trace": debug_transcript, "final_result": final_result, } file = DEBUG_TRANSCRIPT_DIR / f"goal_review_{int(time.time() * 1000)}.json" file.write_text(json.dumps(row, ensure_ascii=False, indent=2), encoding="utf-8") except Exception: pass def _continue(message: str) -> Dict[str, Any]: return {"status": "continue", "message": message or FALLBACK_CONTINUE_MESSAGE, "source": "goal_review_agent"} url = str(self.cfg.get("url") or "").strip() key = str(self.cfg.get("key") or "").strip() model = str(self.cfg.get("model") or "").strip() if not url or not key or not model: 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。") _flush_trace(out) return out endpoint = f"{url.rstrip('/')}/chat/completions" headers = {"Authorization": f"Bearer {key}", "Content-Type": "application/json"} timeout_seconds = int(self.cfg.get("timeout_seconds") or DEFAULT_TIMEOUT_SECONDS) extra_params = dict(self.cfg.get("extra_params") or {}) tools = self._build_tools(review_mode) messages: List[Dict[str, Any]] = [ {"role": "system", "content": self._system_prompt(review_mode)}, {"role": "user", "content": payload_text}, ] async with httpx.AsyncClient(timeout=timeout_seconds) as client: rounds = 0 forced_tool_retry_used = False while True: rounds += 1 if cancel_check: external = cancel_check() if external: return external if progress_cb: progress_cb({"stage": "model_call", "round": rounds, "message": f"审核轮次 {rounds}"}) req = { "model": model, "messages": messages, "tools": tools, "tool_choice": "auto", "temperature": 0.0, **extra_params, } _trace("request", {"round": rounds, "request": req}) try: resp = await client.post(endpoint, headers=headers, json=req) resp.raise_for_status() except httpx.HTTPStatusError as exc: body = "" try: body = exc.response.text except Exception: body = str(exc) _trace("http_error", {"round": rounds, "status_code": exc.response.status_code if exc.response else None, "body": body}) # 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） if extra_params: retry_req = { "model": model, "messages": messages, "tools": tools, "tool_choice": "auto", "temperature": 0.0, } _trace("retry_request_without_extra_params", {"round": rounds, "request": retry_req}) retry_resp = await client.post(endpoint, headers=headers, json=retry_req) try: retry_resp.raise_for_status() resp = retry_resp except httpx.HTTPStatusError: out = _continue(f"目标审核请求失败({retry_resp.status_code})，请继续推进目标。") _flush_trace(out) return out else: out = _continue( 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。" ) _flush_trace(out) return out except Exception as exc: _trace("request_exception", {"round": rounds, "error": str(exc)}) out = _continue("目标审核请求异常，请继续推进目标。") _flush_trace(out) return out choice = ((resp.json().get("choices") or [{}])[0] or {}).get("message") or {} reasoning_content = ( choice.get("reasoning_content") or choice.get("reasoning") or choice.get("thinking") or "" ) _trace("response", {"round": rounds, "message": choice, "reasoning_content": reasoning_content}) tool_calls = choice.get("tool_calls") or [] content = choice.get("content") if not tool_calls: if content or reasoning_content: messages.append( { "role": "assistant", "content": str(content or ""), "reasoning_content": str(reasoning_content or ""), } ) reminder = ( "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，" "再调用 report_goal_status 给出最终结论。" ) if not forced_tool_retry_used: forced_tool_retry_used = True 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。" messages.append({"role": "user", "content": reminder}) continue # 有 tool_calls：追加完整 assistant 消息（与主智能体结构对齐） assistant_message = { "role": "assistant", "content": str(content or ""), "reasoning_content": str(reasoning_content or ""), "tool_calls": tool_calls, } messages.append(assistant_message) for call in tool_calls: fn = (call.get("function") or {}).get("name") raw_args = (call.get("function") or {}).get("arguments") or "{}" try: args = json.loads(raw_args) if isinstance(raw_args, str) else (raw_args or {}) except Exception: args = {} if fn == "report_goal_status": status = str(args.get("status") or "").strip().lower() message = str(args.get("message") or "").strip() if status == "done": out = {"status": "done", "message": message or "目标已达成。", "source": "goal_review_agent"} _flush_trace(out) return out if status == "continue": out = _continue(message) _flush_trace(out) return out # 非法 status：保守续命 out = _continue(message or "审核返回了无法识别的状态，请继续推进目标。") _flush_trace(out) return out if fn == "run_command": cmd = str(args.get("command") or "").strip() if progress_cb: progress_cb({"stage": "run_command", "round": rounds, "command": cmd}) tool_result = await self._run_readonly_command(cmd) if cmd else {"success": False, "error": "command 不能为空"} _trace("tool_result", {"round": rounds, "tool": "run_command", "command": cmd, "result": tool_result}) tool_content = json.dumps(tool_result, ensure_ascii=False) messages.append( { "role": "tool", "content": tool_content, "timestamp": time.strftime("%Y-%m-%dT%H:%M:%S", time.localtime()) + f".{int((time.time() % 1) * 1000000):06d}", "message_id": f"msg_{uuid.uuid4().hex}", "tool_call_id": call.get("id"), "name": "run_command", } )