tzt
8358302002
- T22 工具内核：edit_file（old_string 唯一命中才替换，防误改）、search_files （跨文件内容搜索，跳过 .git/node_modules 与二进制大文件）、run_command （allow_shell 默认关；超时+输出截断+Windows CREATE_NO_WINDOW） - T23 工作区选择（参考 deepseek-harness 打开文件夹体验）：/agent/fs 磁盘目录浏览 （空 path 列 Windows 盘符）、/agent/workspaces 最近列表持久化、 POST /agent 接受 workspace（须存在目录），运行状态记录所用工作区 - 新增测试 12 项，全量 274 passed
318 lines
13 KiB
Python
318 lines
13 KiB
Python
"""智能体服务（AgentService）—— zcode 式"模型操作工作区文件"的网关侧封装。
|
||
|
||
职责：
|
||
- OpenAICompatChat：OpenAI 兼容 /chat/completions 的工具调用客户端（ToolLoop 的 chat_fn），
|
||
支持 httpx transport/client 注入（测试用 MockTransport，对齐 D11 封闭性）。
|
||
- AgentService：运行一次智能体任务——事件逐条落盘 agent_runs/{id}/events.jsonl，
|
||
终态写 status.json；SSE 端点轮询事件文件增量推送（与 v3 workspace 监视同思路，
|
||
不侵入 router_system）。
|
||
- 模型来源：模型池 agent 角色（或显式 pool_id），否则回退经典 Architect 设置。
|
||
|
||
安全与护栏：
|
||
- 文件操作被 WorkspaceTools 关押在工作区根目录内
|
||
- 轮数上限（agent.max_rounds）与 token 熔断（agent.token_cap）双护栏
|
||
"""
|
||
from __future__ import annotations
|
||
|
||
import asyncio
|
||
import json
|
||
import time
|
||
import uuid
|
||
from dataclasses import dataclass, field
|
||
from pathlib import Path
|
||
from typing import Any, Dict, List, Optional
|
||
|
||
from router_system.tools import ToolLoop, WorkspaceTools
|
||
|
||
# 运行目录（与 runs/ 平级）
|
||
AGENT_RUNS_DIR = Path("agent_runs")
|
||
|
||
STATE_RUNNING = "running"
|
||
STATE_DONE = "done"
|
||
STATE_FAILED = "failed"
|
||
|
||
AGENT_SYSTEM_PROMPT = (
|
||
"你是端云协同 LLM 系统中的智能体（Agent），正在操作用户选择的**真实项目工作目录**。"
|
||
"你拥有的工具：list_dir（列目录）、read_file（读文件）、write_file（写文件/新建）、"
|
||
"edit_file（精确替换编辑：old_string 须唯一匹配）、search_files（跨文件搜索内容）、"
|
||
"run_command（执行 shell 命令，仅当系统开启 allow_shell 时可用，否则不要尝试）。"
|
||
"像编程助手一样工作：先列目录/搜索了解项目结构，读文件核对原文后再用 edit_file 小步修改"
|
||
"（或 write_file 新建），需要时运行命令验证。任务完成或给出结论后，"
|
||
"直接输出给用户的最终答复（中文，不要再调用工具）。"
|
||
)
|
||
|
||
|
||
# ─────────────────────────────────────────────────────────────────────────────
|
||
# OpenAI 兼容工具调用客户端
|
||
# ─────────────────────────────────────────────────────────────────────────────
|
||
class OpenAICompatChat:
|
||
"""ToolLoop.chat_fn 的 OpenAI 兼容实现（支持 tools 参数）。"""
|
||
|
||
def __init__(
|
||
self,
|
||
base_url: str,
|
||
api_key: Optional[str],
|
||
model: str,
|
||
temperature: float = 0.3,
|
||
max_tokens: int = 4096,
|
||
timeout_s: float = 120.0,
|
||
transport: Any = None,
|
||
_client: Any = None,
|
||
):
|
||
self.base_url = base_url.rstrip("/")
|
||
self.api_key = api_key
|
||
self.model = model
|
||
self.temperature = temperature
|
||
self.max_tokens = max_tokens
|
||
self.timeout_s = timeout_s
|
||
self._transport = transport
|
||
self._client = _client
|
||
self._owns = _client is None
|
||
|
||
def _get_client(self):
|
||
if self._client is None:
|
||
import httpx
|
||
kwargs: Dict[str, Any] = {"timeout": self.timeout_s}
|
||
if self._transport is not None:
|
||
kwargs["transport"] = self._transport
|
||
self._client = httpx.AsyncClient(**kwargs)
|
||
return self._client
|
||
|
||
async def aclose(self) -> None:
|
||
if self._owns and self._client is not None:
|
||
await self._client.aclose()
|
||
self._client = None
|
||
|
||
async def __call__(self, messages: List[Dict[str, Any]],
|
||
tools_spec: List[Dict[str, Any]]) -> Dict[str, Any]:
|
||
body: Dict[str, Any] = {
|
||
"model": self.model,
|
||
"messages": messages,
|
||
"temperature": self.temperature,
|
||
"max_tokens": self.max_tokens,
|
||
}
|
||
if tools_spec:
|
||
body["tools"] = tools_spec
|
||
body["tool_choice"] = "auto"
|
||
headers = {"Authorization": f"Bearer {self.api_key}"} if self.api_key else {}
|
||
client = self._get_client()
|
||
resp = await client.post(f"{self.base_url}/chat/completions",
|
||
headers=headers, json=body)
|
||
resp.raise_for_status()
|
||
data = resp.json()
|
||
msg = (data.get("choices") or [{}])[0].get("message") or {}
|
||
# tool_calls 解析放这里（网关层），内核 tools.parse_tool_calls 供其他调用方复用
|
||
from router_system.tools import parse_tool_calls
|
||
return {
|
||
"content": msg.get("content"),
|
||
"tool_calls": parse_tool_calls(msg),
|
||
"usage": data.get("usage") or {},
|
||
}
|
||
|
||
|
||
# ─────────────────────────────────────────────────────────────────────────────
|
||
# 智能体服务
|
||
# ─────────────────────────────────────────────────────────────────────────────
|
||
@dataclass
|
||
class AgentRunInfo:
|
||
"""一次智能体运行的状态快照（内存 + status.json 双写）。"""
|
||
request_id: str
|
||
task: str = ""
|
||
model: str = ""
|
||
state: str = STATE_RUNNING
|
||
started_at: float = 0.0
|
||
finished_at: float = 0.0
|
||
error: Optional[str] = None
|
||
response: str = ""
|
||
rounds: int = 0
|
||
prompt_tokens: int = 0
|
||
completion_tokens: int = 0
|
||
pool_id: str = ""
|
||
workspace: str = "" # 本次运行使用的工作区根目录（绝对路径）
|
||
asyncio_task: Optional[asyncio.Task] = field(default=None, repr=False)
|
||
|
||
def to_dict(self) -> Dict[str, Any]:
|
||
return {
|
||
"request_id": self.request_id,
|
||
"task": self.task,
|
||
"model": self.model,
|
||
"state": self.state,
|
||
"started_at": self.started_at,
|
||
"finished_at": self.finished_at,
|
||
"error": self.error,
|
||
"response": self.response,
|
||
"rounds": self.rounds,
|
||
"prompt_tokens": self.prompt_tokens,
|
||
"completion_tokens": self.completion_tokens,
|
||
"pool_id": self.pool_id,
|
||
"workspace": self.workspace,
|
||
}
|
||
|
||
|
||
class AgentService:
|
||
"""智能体运行服务：事件落盘 + 状态管理。"""
|
||
|
||
def __init__(self, run_dir: str | Path = AGENT_RUNS_DIR):
|
||
self.run_dir = Path(run_dir)
|
||
self._runs: Dict[str, AgentRunInfo] = {}
|
||
self.max_running = 5
|
||
|
||
# ---------- 路径 ----------
|
||
def _dir(self, request_id: str) -> Path:
|
||
return self.run_dir / request_id
|
||
|
||
def events_path(self, request_id: str) -> Path:
|
||
return self._dir(request_id) / "events.jsonl"
|
||
|
||
def status_path(self, request_id: str) -> Path:
|
||
return self._dir(request_id) / "status.json"
|
||
|
||
# ---------- 注册与查询 ----------
|
||
def register(self, request_id: str, task: str, model: str, pool_id: str,
|
||
workspace: str = "") -> Optional[AgentRunInfo]:
|
||
running = [r for r in self._runs.values() if r.state == STATE_RUNNING]
|
||
if len(running) >= self.max_running:
|
||
return None
|
||
info = AgentRunInfo(request_id=request_id, task=task, model=model,
|
||
pool_id=pool_id, workspace=workspace, started_at=time.time())
|
||
self._runs[request_id] = info
|
||
self._dir(request_id).mkdir(parents=True, exist_ok=True)
|
||
self._write_status(info)
|
||
return info
|
||
|
||
def get(self, request_id: str) -> Optional[AgentRunInfo]:
|
||
return self._runs.get(request_id)
|
||
|
||
# ---------- 执行 ----------
|
||
async def run(self, info: AgentRunInfo, chat: Any, workspace_dir: str | Path,
|
||
max_rounds: int = 8, token_cap: int = 0,
|
||
allow_shell: bool = False, shell_timeout_s: int = 20) -> None:
|
||
"""执行智能体任务（由调用方包成后台协程）。"""
|
||
tools = WorkspaceTools(workspace_dir, allow_shell=allow_shell,
|
||
shell_timeout_s=shell_timeout_s)
|
||
loop = ToolLoop(tools, chat, max_rounds=max_rounds, token_cap=token_cap,
|
||
on_event=self._make_event_writer(info))
|
||
try:
|
||
result = await loop.run(info.task, system=AGENT_SYSTEM_PROMPT)
|
||
info.response = result.get("response", "")
|
||
info.rounds = int(result.get("rounds", 0))
|
||
info.prompt_tokens = int(result.get("prompt_tokens", 0))
|
||
info.completion_tokens = int(result.get("completion_tokens", 0))
|
||
if result.get("reason") == "error":
|
||
info.state = STATE_FAILED
|
||
info.error = result.get("error")
|
||
elif result.get("reason") in ("token_cap", "max_rounds"):
|
||
# 触顶属于护栏行为：结果仍交付，但标记部分完成信息
|
||
info.state = STATE_DONE
|
||
info.error = result.get("error")
|
||
else:
|
||
info.state = STATE_DONE
|
||
except Exception as exc: # pragma: no cover
|
||
info.state = STATE_FAILED
|
||
info.error = f"{type(exc).__name__}: {exc}"
|
||
self._append_event(info, {"type": "final", "round": info.rounds,
|
||
"reason": "error", "error": info.error})
|
||
finally:
|
||
info.finished_at = time.time()
|
||
self._write_status(info)
|
||
|
||
# ---------- 事件 ----------
|
||
def _make_event_writer(self, info: AgentRunInfo):
|
||
def _on_event(ev: Dict[str, Any]) -> None:
|
||
self._append_event(info, ev)
|
||
return _on_event
|
||
|
||
def _append_event(self, info: AgentRunInfo, ev: Dict[str, Any]) -> None:
|
||
ev = {"ts": time.time(), **ev}
|
||
try:
|
||
with self.events_path(info.request_id).open("a", encoding="utf-8") as f:
|
||
f.write(json.dumps(ev, ensure_ascii=False) + "\n")
|
||
except OSError:
|
||
pass
|
||
|
||
def read_events(self, request_id: str) -> List[Dict[str, Any]]:
|
||
p = self.events_path(request_id)
|
||
if not p.exists():
|
||
return []
|
||
out = []
|
||
for line in p.read_text(encoding="utf-8").splitlines():
|
||
line = line.strip()
|
||
if not line:
|
||
continue
|
||
try:
|
||
out.append(json.loads(line))
|
||
except json.JSONDecodeError:
|
||
pass # 半行（正在写入）忽略
|
||
return out
|
||
|
||
# ---------- 状态 ----------
|
||
def _write_status(self, info: AgentRunInfo) -> None:
|
||
try:
|
||
self.status_path(info.request_id).write_text(
|
||
json.dumps(info.to_dict(), ensure_ascii=False, indent=2),
|
||
encoding="utf-8")
|
||
except OSError:
|
||
pass
|
||
|
||
async def watch_events(self, request_id: str, cancel_event: asyncio.Event,
|
||
poll_interval: float = 0.3, max_seconds: float = 900.0):
|
||
"""SSE 生成器：增量推送 events.jsonl 新行，直到终态/取消/超时。
|
||
|
||
从文件头开始回放（晚加入的订阅者也能看到完整过程）。
|
||
"""
|
||
p = self.events_path(request_id)
|
||
offset = 0
|
||
deadline = time.time() + max_seconds
|
||
while not cancel_event.is_set() and time.time() < deadline:
|
||
if p.exists():
|
||
try:
|
||
size = p.stat().st_size
|
||
if size > offset:
|
||
with p.open("r", encoding="utf-8") as f:
|
||
f.seek(offset)
|
||
new_text = f.read()
|
||
offset = f.tell()
|
||
for line in new_text.splitlines():
|
||
line = line.strip()
|
||
if not line:
|
||
continue
|
||
try:
|
||
ev = json.loads(line)
|
||
except json.JSONDecodeError:
|
||
continue
|
||
yield ev
|
||
if ev.get("type") == "final":
|
||
return
|
||
except OSError:
|
||
pass
|
||
info = self.get(request_id)
|
||
if info and info.state in (STATE_DONE, STATE_FAILED):
|
||
# 终态兜底：状态已结束但可能没有 final 事件（如注册即失败）
|
||
yield {"type": "final", "round": info.rounds,
|
||
"reason": "answer" if info.state == STATE_DONE else "error",
|
||
"error": info.error}
|
||
return
|
||
await asyncio.sleep(poll_interval)
|
||
yield {"type": "final", "round": 0, "reason": "error", "error": "订阅超时"}
|
||
|
||
|
||
# ---------- 全局单例 ----------
|
||
_service: Optional[AgentService] = None
|
||
|
||
|
||
def get_agent_service() -> AgentService:
|
||
global _service
|
||
if _service is None:
|
||
_service = AgentService()
|
||
return _service
|
||
|
||
|
||
def reset_agent_service() -> None:
|
||
"""测试用：重置全局智能体服务单例。"""
|
||
global _service
|
||
_service = None
|
||
|
||
|
||
def new_request_id() -> str:
|
||
return "ag" + uuid.uuid4().hex[:10]
|