Text Generation
GGUF
Japanese
English
llama.cpp
Mixture of Experts
expert-pruning
intel-mac
cpu
local-agent
imatrix
conversational
Instructions to use miutti/intel-mac-local-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use miutti/intel-mac-local-llm with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: llama cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: llama cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: ./llama-cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf miutti/intel-mac-local-llm:UD-Q2_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Use Docker
docker model run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- LM Studio
- Jan
- vLLM
How to use miutti/intel-mac-local-llm with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "miutti/intel-mac-local-llm" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "miutti/intel-mac-local-llm", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- Ollama
How to use miutti/intel-mac-local-llm with Ollama:
ollama run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- Unsloth Desktop
- Pi
How to use miutti/intel-mac-local-llm with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "miutti/intel-mac-local-llm:UD-Q2_K_XL" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use miutti/intel-mac-local-llm with Docker Model Runner:
docker model run hf.co/miutti/intel-mac-local-llm:UD-Q2_K_XL
- Lemonade
How to use miutti/intel-mac-local-llm with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull miutti/intel-mac-local-llm:UD-Q2_K_XL
Run and chat with the model
lemonade run user.intel-mac-local-llm-UD-Q2_K_XL
List all available models
lemonade list
- Hermes Agent
How to use miutti/intel-mac-local-llm with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default miutti/intel-mac-local-llm:UD-Q2_K_XL
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use miutti/intel-mac-local-llm with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf miutti/intel-mac-local-llm:UD-Q2_K_XL
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "miutti/intel-mac-local-llm:UD-Q2_K_XL" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 18,756 Bytes
df41178 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 | """会話ごとの自由な仕事。本物の頭脳・本番データは使わない。"""
import contextlib
import datetime
import importlib.util
import json
import os
from pathlib import Path
import sys
import tempfile
import threading
import unittest
from unittest import mock
from urllib.request import Request, urlopen
ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(ROOT / "kernel"))
import chats
import conversation
import loop
import server
spec = importlib.util.spec_from_file_location("test_work_hako", ROOT / "dougu/hako.py")
hako = importlib.util.module_from_spec(spec)
spec.loader.exec_module(hako)
def _dougu_jiyuu():
"""他の試験が本番 ~/LocalAI_mirror/kernel を sys.path に足すと、本番の jiyuu が読まれる。写しの dougu/jiyuu.py を必ず使う。"""
want = str(ROOT / "dougu" / "jiyuu.py")
mod = sys.modules.get("jiyuu")
if mod is None or getattr(mod, "__file__", "") != want:
sys.modules.pop("jiyuu", None)
sys.path.insert(0, str(ROOT / "dougu"))
try:
import jiyuu as mod
finally:
sys.path.remove(str(ROOT / "dougu"))
mod.gate.hako = mod._hako
return mod
class ConversationWorkTests(unittest.TestCase):
def setUp(self):
self.tmp = tempfile.TemporaryDirectory()
self.root = Path(self.tmp.name).resolve()
self.old = chats.DIR, chats.DB, chats._READY
chats.DIR, chats.DB, chats._READY = str(self.root / "legacy"), str(self.root / "chats.sqlite3"), False
self.cid = chats.create()["id"]
def tearDown(self):
chats.DIR, chats.DB, chats._READY = self.old
self.tmp.cleanup()
def test_activity_isolated_bounded_and_reopened(self):
other = chats.create()["id"]
self.assertEqual(chats.load(other)["動き"], [])
for i in range(207):
chats.add_activity(self.cid, {"type": "note", "text": str(i)})
chats.add_activity(other, {"text": "別の会話"})
chats._READY = False
activity = chats.load(self.cid)["動き"]
self.assertEqual(len(activity), 200)
self.assertEqual(activity[0]["text"], "7")
self.assertEqual(chats.load(other)["動き"][0]["text"], "別の会話")
chats.clear_activity(self.cid)
self.assertEqual(chats.activities(self.cid), [])
self.assertEqual(len(chats.activities(other)), 1)
def fill(self, pairs=6):
for i in range(pairs):
chats.add_turn(self.cid, "user", f"頼み{i}")
chats.add_turn(self.cid, "bot", f"答え{i}")
def test_compact_replaces_previous_summary_and_keeps_recent_pairs(self):
self.fill()
chats.update_state(self.cid, summary="前回の要約", folders=[str(self.root)])
summarize = mock.Mock(return_value="新しい要約")
conversation.compact(chats, self.cid, summarize)
c = chats.load(self.cid)
self.assertEqual(c["要約"], "新しい要約")
self.assertEqual([t["文"] for t in c["やりとり"]], [f"{role}{i}" for i in range(3, 6) for role in ("頼み", "答え")])
self.assertEqual(summarize.call_args.args[1], "前回の要約")
self.assertEqual(conversation.messages(c)[0]["role"], "system")
self.assertIn("新しい要約", conversation.messages(c)[0]["content"])
self.assertEqual(c["触ってよいフォルダ"], [str(self.root)])
self.fill(2)
conversation.compact(chats, self.cid, lambda old, previous: previous + "を更新")
self.assertEqual(chats.load(self.cid)["要約"], "新しい要約を更新")
def test_compact_failure_or_concurrent_message_does_not_discard_turns(self):
self.fill()
before = chats.load(self.cid)
with self.assertRaises(ValueError):
conversation.compact(chats, self.cid, lambda *_: "")
self.assertEqual(chats.load(self.cid), before)
def changed(*_):
chats.add_turn(self.cid, "user", "追加")
return "要約"
with self.assertRaises(ValueError):
conversation.compact(chats, self.cid, changed)
self.assertEqual(len(chats.load(self.cid)["やりとり"]), 13)
self.assertEqual(chats.load(self.cid)["要約"], "")
def test_cancelled_compact_and_branch_preserve_context(self):
self.fill()
stop = threading.Event()
stop.set()
with self.assertRaises(ValueError):
conversation.compact(chats, self.cid, lambda *_: "要約", stop=stop)
self.assertEqual(len(chats.load(self.cid)["やりとり"]), 12)
chats.update_state(self.cid, summary="決定", folders=[str(self.root)], loop={"running": True})
branch = chats.fork(self.cid)
self.assertEqual(branch["要約"], "決定")
self.assertEqual(branch["触ってよいフォルダ"], [str(self.root)])
self.assertEqual(branch["loop"], {})
def test_stream_connects_mock_tools_to_the_correct_conversation(self):
import queue
sys.path.append(str(ROOT / "dougu"))
jiyuu = _dougu_jiyuu()
import kyoudou
import teachers
old_settings = server.CTX["設定"]
server.CTX["設定"] = {"モード": "本番", "輪": "新"}
chats.update_state(self.cid, summary="決定を引き継ぐ", folders=[str(self.root)])
captured = {}
def answer(text, on_event, **args):
captured.update(args)
on_event({"type": "tool_start", "id": "1", "name": "read", "label": "読む"})
on_event({"type": "tool_end", "id": "1", "ok": True, "summary": "確認"})
return "完了"
try:
with contextlib.ExitStack() as stack:
stack.enter_context(mock.patch.object(server, "_gakushuu_busy", side_effect=contextlib.nullcontext))
stack.enter_context(mock.patch.object(server, "_temoto_tsukau", side_effect=contextlib.nullcontext))
stack.enter_context(mock.patch.object(server, "moderu_youi", return_value=(True, "mock")))
stack.enter_context(mock.patch.object(teachers, "mado_settei"))
stack.enter_context(mock.patch.object(kyoudou, "is_shortcut", return_value=False))
stack.enter_context(mock.patch.object(jiyuu, "kotaeru", side_effect=answer))
result = server._run_request("読む", self.cid, queue.Queue(), threading.Event(), "kyoudou", [])
self.assertTrue(result["出力"].endswith("完了"))
self.assertEqual(captured["settei"]["要約"], "決定を引き継ぐ")
self.assertEqual(captured["settei"]["触ってよいフォルダ"], [str(self.root)])
self.assertEqual([e["type"] for e in chats.activities(self.cid)], ["tool_start", "tool_end"])
self.assertEqual(chats.load(chats.create()["id"])["動き"], [])
finally:
server.CTX["設定"] = old_settings
def test_token_meter_uses_props_tokenize_and_fallback(self):
self.fill(1)
def api(path, payload=None):
return {"/props": {"default_generation_settings": {"n_ctx": 100}},
"/apply-template": {"prompt": "会話"}, "/tokenize": {"tokens": list(range(38))}}[path]
meter = conversation.Meter(api)
measured = meter.measure(chats.load(self.cid))
self.assertEqual((measured["使った"], measured["上限"], measured["割合"]), (38, 100, 38))
self.assertFalse(measured["推定"])
missing = mock.Mock(side_effect=OSError("未提供"))
result = conversation.Meter(missing).measure(chats.load(self.cid), {"コンテキスト上限": 1234})
self.assertEqual(result["上限"], 1234)
self.assertTrue(result["推定"])
self.assertGreater(result["使った"], 0)
def make_loop(self, runner, lesson=None):
self.clock = [datetime.datetime(2026, 10, 4, 12).timestamp()]
return loop.Manager(chats, runner, now=lambda: self.clock[0], lesson=lesson)
def test_loop_rounds_learn_failures_interval_limit_and_restore(self):
prompts = []
def runner(cid, prompt, stop):
prompts.append(prompt)
if len(prompts) == 1:
raise ValueError("試みAは失敗")
return {"ok": True, "result": "方法Bを確認", "next": "方法C"}
lessons = mock.Mock()
manager = self.make_loop(runner, lessons)
manager.start(self.cid, "技術を作る", 1800, maximum=3)
manager.tick()
manager.tick()
self.assertEqual(len(prompts), 1)
self.clock[0] += 1800
restored = loop.Manager(chats, runner, now=lambda: self.clock[0], lesson=lessons)
restored.tick()
self.assertIn("試みAは失敗", prompts[1])
self.clock[0] += 1800
restored.tick()
self.assertIn("方法C", prompts[2])
state = chats.get_state(self.cid)["loop"]
self.assertFalse(state["running"])
self.assertEqual(state["round"], 3)
self.assertEqual(lessons.call_count, 2)
def test_loop_stop_during_round_and_night_pause(self):
manager = None
def runner(cid, prompt, stop):
manager.stop(cid)
self.assertTrue(stop.is_set())
return {"ok": True, "result": "停止"}
manager = self.make_loop(runner)
manager.start(self.cid, "お題", 10)
manager.tick()
self.assertFalse(chats.get_state(self.cid)["loop"]["running"])
manager.start(self.cid, "次のお題", 10)
self.clock[0] = datetime.datetime(2026, 10, 5, 1).timestamp()
manager.tick()
state = chats.get_state(self.cid)["loop"]
self.assertEqual(state["round"], 0)
self.assertTrue(state["running"])
self.assertEqual(datetime.datetime.fromtimestamp(state["next"]).hour, 7)
def test_loop_inflight_restart_is_recorded_and_not_repeated(self):
runner = mock.Mock(return_value={"ok": False, "result": "失敗"})
manager = self.make_loop(runner)
manager.start(self.cid, "お題")
state = chats.get_state(self.cid)["loop"]
state.update(inflight=True, round=1)
chats.update_state(self.cid, loop=state)
manager.tick()
self.assertIn("再起動で中断", runner.call_args.args[1])
self.assertEqual(chats.get_state(self.cid)["loop"]["round"], 2)
def test_loop_command_parser(self):
self.assertEqual(loop.parse("/loop 30m 新しい技術を作って")["interval"], 1800)
self.assertEqual(loop.parse("/loop お題")["interval"], 600)
self.assertTrue(loop.parse("/loop 止める")["stop"])
for text in ("/loop", "/loop 0s お題", "/loop 30m"):
with self.assertRaises(ValueError):
loop.parse(text)
def test_api_folders_and_activity_are_scoped_and_commands_listed(self):
old_settings, old_id = server.CTX["設定"], server.CTX.get("会話id")
server.CTX["設定"] = {"モード": "試験"}
httpd = server.Server(("127.0.0.1", 0), server.Handler)
thread = threading.Thread(target=httpd.serve_forever, daemon=True)
thread.start()
def api(path, body=None):
request = Request("http://127.0.0.1:%d%s" % (httpd.server_address[1], path),
data=None if body is None else json.dumps(body).encode(),
headers={"X-Token": server.TOKEN, "Content-Type": "application/json"})
with urlopen(request) as response:
return json.load(response)
try:
api("/chat/folders", {"id": self.cid, "folders": [str(self.root)]})
chats.add_activity(self.cid, {"type": "note", "text": "本人の会話"})
self.assertEqual(api("/ugoki")["動き"], [])
self.assertEqual(api("/ugoki?cid=" + self.cid)["動き"][0]["text"], "本人の会話")
with mock.patch.object(server._CONTEXT_METER, "measure", return_value={"使った": 1}):
view = api("/chat/context?cid=" + self.cid)
self.assertEqual(view["触ってよいフォルダ"], [str(self.root)])
self.assertIn("/compact", [x["名"] for x in api("/commands")])
self.assertIn("/loop", [x["名"] for x in api("/commands")])
with mock.patch.object(server, "_LOOPS", self.make_loop(mock.Mock())):
server._special_request("/loop お題", self.cid, threading.Event())
api("/chat/loop/stop", {"id": self.cid})
self.assertFalse(chats.get_state(self.cid)["loop"]["running"])
finally:
httpd.shutdown()
httpd.server_close()
thread.join(2)
server.CTX["設定"], server.CTX["会話id"] = old_settings, old_id
class SandboxWorkTests(unittest.TestCase):
def setUp(self):
self.tmp = tempfile.TemporaryDirectory()
self.home = Path(self.tmp.name).resolve() / "home"
self.work = self.home / "Documents"
self.work.mkdir(parents=True)
def tearDown(self):
self.tmp.cleanup()
def test_parent_selection_never_allows_private_paths_or_symlinks(self):
private = [".claude", ".codex", ".ssh", ".claude.json", ".groq.env", ".future.env",
"LocalAI_mirror/kernel", "LocalAI_mirror/koukai/dougu/hako.py", "LocalAI_mirror/koukai/kernel/kyoudou.py"]
for path in private:
for write in (False, True):
self.assertFalse(hako.check_path(str(self.home / path), write=write, paths=[str(self.home)], home=str(self.home)), path)
self.assertTrue(hako.check_path(str(self.work / "new"), True, [str(self.work)], str(self.home)))
self.assertFalse(hako.check_path(str(self.home / "outside"), True, [str(self.work)], str(self.home)))
self.assertFalse(hako.check_path(str(self.home / "Documents-other/new"), True, [str(self.work)], str(self.home)))
(self.work / "escape").symlink_to(self.home / ".claude")
self.assertFalse(hako.check_path(str(self.work / "escape/new"), True, [str(self.work)], str(self.home)))
def test_mac_profile_limits_writes_and_denies_private_reads(self):
profile = hako.build_profile("戻せる", home=str(self.home), allowed_roots=[str(self.work)])
self.assertNotIn("(allow file-write*)", profile)
self.assertIn(f'(subpath "{self.work}")', profile)
for name in (".claude", ".codex", ".ssh", "LocalAI_mirror/kernel"):
self.assertIn(f'(deny file-read* (subpath "{self.home / name}"))', profile)
self.assertIn(f'(deny file-write* (subpath "{self.home / name}"))', profile)
self.assertIn("(allow lsopen)", profile) # 10/4: open -a・osascript(J08〜J10)は門番が危険度で扱う
def test_linux_readonly_root_and_home_parent_exclusions(self):
secret = self.home / ".nvidia.env"
secret.write_text("fixture")
(self.home / ".ssh").mkdir()
with mock.patch.object(hako.shutil, "which", return_value="/usr/bin/bwrap"):
argv = hako._bwrap_argv("true", risk="戻せる", env={"HOME": str(self.home)}, allowed_roots=[str(self.home)])
triples = [argv[i:i+3] for i in range(len(argv)-2)]
self.assertIn(["--ro-bind", "/", "/"], triples)
self.assertIn(["--bind", str(self.work), str(self.work)], triples)
self.assertNotIn(["--bind", str(self.home), str(self.home)], triples)
self.assertIn(["--ro-bind", "/dev/null", str(secret)], triples)
self.assertIn(["--tmpfs", str(self.home / ".ssh"), "--remount-ro"], triples)
def test_jiyuu_uses_new_sandbox_and_guards_direct_write(self):
sys.path.append(str(ROOT / "dougu"))
jiyuu = _dougu_jiyuu()
self.assertTrue(hasattr(jiyuu.gate.hako, "scope"))
with jiyuu.gate.hako.scope([str(self.work)]):
result = jiyuu._run("write", {"path": str(self.home / "outside"), "content": "禁止"}, "戻せる", "mock")
self.assertFalse(result["ok"])
result = jiyuu._run("write", {"path": str(self.work / "allowed"), "content": "許可"}, "戻せる", "mock")
self.assertTrue(result["ok"])
self.assertEqual((self.work / "allowed").read_text(), "許可")
with mock.patch.object(jiyuu.gate.hako, "_sandbox_executable", return_value="sandbox-exec"):
argv = jiyuu.gate.hako.command_argv("true", risk="戻せる")
self.assertIn(f'(subpath "{self.work}")', argv[2])
self.assertNotIn("(allow file-write*)", argv[2])
def test_jiyuu_summary_is_first_and_full_history_is_preserved(self):
sys.path.append(str(ROOT / "dougu"))
jiyuu = _dougu_jiyuu()
with contextlib.ExitStack() as stack:
for name in ("_system", "_knowledge_hint", "_memory_hint", "_gakushuu_hint", "_kanjou_hint", "_skill_hint", "_user_context"):
stack.enter_context(mock.patch.object(jiyuu, name, return_value=""))
stack.enter_context(mock.patch.object(jiyuu, "_record"))
ask = stack.enter_context(mock.patch.object(jiyuu, "_ask", return_value={"content": "答えです。"}))
stack.enter_context(mock.patch.object(jiyuu.gate, "TOMERU", None))
jiyuu.kotaeru("頼み", rireki=[{"role": "user", "text": "長"*1500}] * 8,
settei={"要約": "要約の決定", "触ってよいフォルダ": [str(self.work)]})
messages = ask.call_args.args[0]
self.assertEqual(messages[0]["content"], "") # system は変えない(先頭の使い回し)
self.assertIn("要約の決定", messages[1]["content"])
self.assertEqual(sum(m.get("content") == "長"*1500 for m in messages), 8)
def test_loop_cannot_leave_background_commands_running(self):
sys.path.append(str(ROOT / "dougu"))
jiyuu = _dougu_jiyuu()
with mock.patch.object(jiyuu, "_job") as job:
result = jiyuu._run("sh", {"command": "true", "background": True}, "戻せる", "mock", settei={"反復": True})
self.assertFalse(result["ok"])
job.assert_not_called()
def test_shell_variable_expansion_cannot_bypass_write_scope(self):
sys.path.append(str(ROOT / "dougu"))
jiyuu = _dougu_jiyuu()
with mock.patch.dict(os.environ, {"KOUKAI_TEST_OUTSIDE": str(self.work / "outside")}):
with jiyuu.gate.hako.scope([str(Path.home())]):
with mock.patch.object(jiyuu.gate, "_write_file") as write:
result = jiyuu._run("write", {"path": "$KOUKAI_TEST_OUTSIDE", "content": "禁止"}, "戻せる", "mock")
self.assertFalse(result["ok"])
write.assert_not_called()
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