feat(v3): T16 工具内核（WorkspaceTools 路径关押 + ToolLoop 通用循环，纯标准库）

- list_dir/read_file/write_file 三工具，OpenAI tools 声明与 tool_calls 解析 - 路径 join 后 resolve 必须仍位于工作区根内（防 ../ 与绝对路径逃逸） - ToolLoop：轮数上限 + token 熔断双护栏、事件回调逐条产出、触顶强制总结 - 测试 11 项：关押/往返/截断/循环编排/熔断/错误折叠（假 chat_fn，零外部依赖）
2026-09-01 08:51:52 +08:00
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+"""工具调用内核 —— 让 LLM 以 OpenAI function-calling 协议操作工作区文件。
+
+组成（对齐《实现方案_v4_模型池与工具智能体.md》D4）：
+- TOOLS_SPEC：list_dir / read_file / write_file 三个工具的 OpenAI tools 声明
+- WorkspaceTools：被"关押"在根目录内的文件工具（路径越界一律拒绝，Windows pathlib）
+- parse_tool_calls：解析 OpenAI 响应里的 tool_calls（arguments 容错为 {}）
+- ToolLoop：通用智能体循环。chat_fn 注入（网关传 OpenAI 兼容客户端，测试传假实现），
+  本模块只负责循环编排：调用 -> 执行工具 -> 回喂结果 -> 直到模型给出最终答复。
+
+工程约束：
+- 纯标准库（router_system 零第三方依赖不变）
+- 工具结果回喂前截断（防止上下文爆炸），轮数与 token 双上限（金额护栏）
+- 事件回调 on_event 逐条产出过程事件（供 SSE 透出"智能体在做什么"）
+"""
+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any, Awaitable, Callable, Dict, List, Optional
+
+# 回喂给模型的工具结果/读取内容上限（字符）
+MAX_READ_CHARS = 8000
+MAX_LIST_ENTRIES = 200
+MAX_RESULT_CHARS = 8000
+MAX_WRITE_CHARS = 200_000
+
+# 默认循环上限
+DEFAULT_MAX_ROUNDS = 8
+
+# OpenAI tools 声明（chat/completions 请求的 tools 参数）
+TOOLS_SPEC: List[Dict[str, Any]] = [
+    {
+        "type": "function",
+        "function": {
+            "name": "list_dir",
+            "description": "列出工作区内目录的内容（文件与子目录，含大小）。",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "path": {"type": "string", "description": "工作区内的相对路径，默认根目录"}
+                },
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "read_file",
+            "description": "读取工作区内一个文本文件的内容（过长自动截断）。",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "path": {"type": "string", "description": "工作区内的相对路径"}
+                },
+                "required": ["path"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "write_file",
+            "description": "把文本内容写入（或创建/覆盖）工作区内的一个文件。",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "path": {"type": "string", "description": "工作区内的相对路径"},
+                    "content": {"type": "string", "description": "要写入的全文"},
+                },
+                "required": ["path", "content"],
+            },
+        },
+    },
+]
+
+TOOL_NAMES = {t["function"]["name"] for t in TOOLS_SPEC}
+
+
+class ToolError(Exception):
+    """工具执行失败（路径越界/不存在/参数非法）。"""
+
+
+class WorkspaceTools:
+    """被限制在根目录内的文件工具（智能体的"手"）。
+
+    安全：所有路径先 join 再 resolve，解析结果必须仍位于根目录内
+    （根目录自身允许），否则抛 ToolError——防 ../ 越界与绝对路径逃逸。
+    """
+
+    def __init__(self, root: str | Path):
+        self.root = Path(root).resolve()
+        self.root.mkdir(parents=True, exist_ok=True)
+
+    # ---------- 路径关押 ----------
+    def resolve(self, rel_path: str) -> Path:
+        rel = (rel_path or "").strip().replace("\\", "/").lstrip("/")
+        p = (self.root / rel).resolve()
+        if p != self.root and self.root not in p.parents:
+            raise ToolError(f"路径越界（不允许访问工作区之外）: {rel_path}")
+        return p
+
+    # ---------- 三个工具 ----------
+    def list_dir(self, rel_path: str = "") -> Dict[str, Any]:
+        d = self.resolve(rel_path)
+        if not d.exists():
+            return {"ok": False, "error": f"目录不存在: {rel_path}"}
+        if not d.is_dir():
+            return {"ok": False, "error": f"不是目录: {rel_path}"}
+        entries = []
+        for child in sorted(d.iterdir(), key=lambda c: (c.is_file(), c.name.lower())):
+            if child.is_dir():
+                entries.append({"name": child.name + "/", "type": "dir"})
+            else:
+                entries.append({
+                    "name": child.name, "type": "file",
+                    "size": child.stat().st_size,
+                })
+            if len(entries) >= MAX_LIST_ENTRIES:
+                entries.append({"name": f"…（超过 {MAX_LIST_ENTRIES} 项已截断）", "type": "notice"})
+                break
+        return {"ok": True, "path": rel_path or ".", "entries": entries}
+
+    def read_file(self, rel_path: str) -> Dict[str, Any]:
+        p = self.resolve(rel_path)
+        if not p.exists():
+            return {"ok": False, "error": f"文件不存在: {rel_path}"}
+        if not p.is_file():
+            return {"ok": False, "error": f"不是文件: {rel_path}"}
+        try:
+            text = p.read_text(encoding="utf-8")
+        except UnicodeDecodeError:
+            return {"ok": False, "error": f"非文本文件（UTF-8 解码失败）: {rel_path}"}
+        truncated = len(text) > MAX_READ_CHARS
+        return {
+            "ok": True,
+            "path": rel_path,
+            "content": text[:MAX_READ_CHARS],
+            "truncated": truncated,
+            "total_chars": len(text),
+        }
+
+    def write_file(self, rel_path: str, content: str) -> Dict[str, Any]:
+        if len(content) > MAX_WRITE_CHARS:
+            return {"ok": False, "error": f"内容过长（>{MAX_WRITE_CHARS} 字符），拒绝写入"}
+        p = self.resolve(rel_path)
+        p.parent.mkdir(parents=True, exist_ok=True)
+        p.write_text(content, encoding="utf-8")
+        return {"ok": True, "path": rel_path, "bytes_written": len(content.encode("utf-8"))}
+
+    # ---------- 统一执行入口 ----------
+    def execute(self, name: str, arguments: Dict[str, Any]) -> Dict[str, Any]:
+        """按名字执行工具；任何异常折叠为 {"ok": False, "error": ...}。"""
+        try:
+            if name == "list_dir":
+                return self.list_dir(str(arguments.get("path", "")))
+            if name == "read_file":
+                return self.read_file(str(arguments.get("path", "")))
+            if name == "write_file":
+                return self.write_file(
+                    str(arguments.get("path", "")), str(arguments.get("content", "")))
+            return {"ok": False, "error": f"未知工具: {name}"}
+        except ToolError as e:
+            return {"ok": False, "error": str(e)}
+        except OSError as e:
+            return {"ok": False, "error": f"文件系统错误: {type(e).__name__}: {e}"}
+
+
+def parse_tool_calls(message: Dict[str, Any]) -> List[Dict[str, Any]]:
+    """从 OpenAI 响应的 message 解析 tool_calls。
+
+    返回 [{"id","name","arguments"(dict)}]；arguments 非法 JSON 时容错为 {}。
+    """
+    out: List[Dict[str, Any]] = []
+    for tc in message.get("tool_calls") or []:
+        fn = tc.get("function") or {}
+        raw = fn.get("arguments")
+        if isinstance(raw, dict):
+            args = raw
+        elif isinstance(raw, str) and raw.strip():
+            try:
+                parsed = json.loads(raw)
+                args = parsed if isinstance(parsed, dict) else {}
+            except json.JSONDecodeError:
+                args = {}
+        else:
+            args = {}
+        out.append({
+            "id": tc.get("id") or f"call_{len(out)}",
+            "name": fn.get("name") or "",
+            "arguments": args,
+        })
+    return out
+
+
+class ToolLoop:
+    """通用智能体工具循环（zcode 式：思考 -> 调工具 -> 看结果 -> 再思考）。
+
+    chat_fn(messages, tools_spec) -> {"content": str|None,
+                                      "tool_calls": [ {id,name,arguments}, ... ],
+                                      "usage": {"prompt_tokens", "completion_tokens"}}
+      由网关注入真实 OpenAI 兼容客户端；测试注入脚本化假实现。
+
+    on_event(ev) 为可选同步回调，逐条收到过程事件：
+      {"type":"round","round":n}
+      {"type":"tool_call","round":n,"name":...,"arguments":...}
+      {"type":"tool_result","round":n,"name":...,"ok":...,"preview":...}
+      {"type":"usage","prompt_tokens":...,"completion_tokens":...}
+      {"type":"final","round":n,"reason":"answer"|"max_rounds"|"token_cap"|"error"}
+    """
+
+    def __init__(
+        self,
+        tools: WorkspaceTools,
+        chat_fn: Callable[[List[Dict[str, Any]], List[Dict[str, Any]]], Awaitable[Dict[str, Any]]],
+        max_rounds: int = DEFAULT_MAX_ROUNDS,
+        token_cap: int = 0,
+        on_event: Optional[Callable[[Dict[str, Any]], None]] = None,
+        result_preview_chars: int = MAX_RESULT_CHARS,
+    ):
+        self.tools = tools
+        self.chat_fn = chat_fn
+        self.max_rounds = max(1, int(max_rounds))
+        self.token_cap = int(token_cap)          # 0 = 不限
+        self.on_event = on_event
+        self.result_preview_chars = result_preview_chars
+
+    def _emit(self, ev: Dict[str, Any]) -> None:
+        if self.on_event is not None:
+            try:
+                self.on_event(ev)
+            except Exception:
+                pass  # 事件回调不允许打断主循环
+
+    def _total_tokens(self, usage: Dict[str, int]) -> int:
+        return int(usage.get("prompt_tokens", 0)) + int(usage.get("completion_tokens", 0))
+
+    async def run(self, task: str, system: str = "") -> Dict[str, Any]:
+        """执行任务直到模型给出最终答复或触顶。返回最终结果与账目。"""
+        messages: List[Dict[str, Any]] = []
+        if system:
+            messages.append({"role": "system", "content": system})
+        messages.append({"role": "user", "content": task})
+
+        total_in = 0
+        total_out = 0
+        last_content = ""
+
+        for round_no in range(1, self.max_rounds + 1):
+            self._emit({"type": "round", "round": round_no})
+            try:
+                resp = await self.chat_fn(messages, TOOLS_SPEC)
+            except Exception as e:
+                self._emit({"type": "final", "round": round_no, "reason": "error",
+                            "error": f"{type(e).__name__}: {e}"})
+                return {"response": "", "rounds": round_no, "reason": "error",
+                        "error": f"{type(e).__name__}: {e}",
+                        "prompt_tokens": total_in, "completion_tokens": total_out}
+
+            usage = resp.get("usage") or {}
+            total_in += int(usage.get("prompt_tokens", 0))
+            total_out += int(usage.get("completion_tokens", 0))
+            self._emit({"type": "usage", "prompt_tokens": total_in,
+                        "completion_tokens": total_out})
+
+            # 金额护栏（D6 同源）：token 触顶立即停
+            if self.token_cap and total_in + total_out > self.token_cap:
+                self._emit({"type": "final", "round": round_no, "reason": "token_cap"})
+                return {"response": last_content, "rounds": round_no, "reason": "token_cap",
+                        "error": f"token 熔断（{total_in + total_out}/{self.token_cap}）",
+                        "prompt_tokens": total_in, "completion_tokens": total_out}
+
+            calls = resp.get("tool_calls") or []
+            if not calls:
+                self._emit({"type": "final", "round": round_no, "reason": "answer"})
+                return {"response": resp.get("content") or "", "rounds": round_no,
+                        "reason": "answer", "error": None,
+                        "prompt_tokens": total_in, "completion_tokens": total_out}
+
+            # 有工具调用：回填 assistant 消息（带原始 tool_calls 结构）+ 逐个执行
+            messages.append({
+                "role": "assistant",
+                "content": resp.get("content") or None,
+                "tool_calls": [
+                    {
+                        "id": c["id"],
+                        "type": "function",
+                        "function": {"name": c["name"],
+                                     "arguments": json.dumps(c["arguments"], ensure_ascii=False)},
+                    }
+                    for c in calls
+                ],
+            })
+            for c in calls:
+                self._emit({"type": "tool_call", "round": round_no,
+                            "name": c["name"], "arguments": c["arguments"]})
+                result = self.tools.execute(c["name"], c["arguments"])
+                preview = json.dumps(result, ensure_ascii=False)
+                if len(preview) > self.result_preview_chars:
+                    preview = preview[:self.result_preview_chars] + "…(截断)"
+                self._emit({"type": "tool_result", "round": round_no,
+                            "name": c["name"], "ok": bool(result.get("ok")),
+                            "preview": preview})
+                messages.append({
+                    "role": "tool",
+                    "tool_call_id": c["id"],
+                    "content": preview,
+                })
+            last_content = resp.get("content") or last_content
+
+        # 轮次耗尽：不再给工具，让模型立即总结（无 tools 的最后一次调用）
+        self._emit({"type": "final", "round": self.max_rounds, "reason": "max_rounds"})
+        try:
+            messages.append({"role": "user",
+                             "content": "工具轮次已达上限。请基于以上信息立即给出最终答复，不要再调用工具。"})
+            resp = await self.chat_fn(messages, [])
+            usage = resp.get("usage") or {}
+            total_in += int(usage.get("prompt_tokens", 0))
+            total_out += int(usage.get("completion_tokens", 0))
+            final_text = resp.get("content") or last_content
+        except Exception:
+            final_text = last_content
+        return {"response": final_text, "rounds": self.max_rounds, "reason": "max_rounds",
+                "error": "工具轮次达上限，已强制总结",
+                "prompt_tokens": total_in, "completion_tokens": total_out}