fix: synchronize live model reload and preserve config selection

.gitignore

@@ -156,3 +156,6 @@ frontends/conductor_im_plugins/*
 
 # Beta 渠道：订阅门户插件（仅 beta 分发携带，不入库）
 plugins/subscription_portal.py
+
+# Local-only model reload regression tests
+/frontends/tests/test_mykeys_reload.py

agentmain.py

@@ -46,6 +46,7 @@ class GenericAgent:
     def __init__(self):
         os.makedirs(os.path.join(script_dir, 'temp'), exist_ok=True)
         self.lock = threading.Lock()
+        self._model_lock = threading.RLock()
         self.task_dir = None
         self.history = []; self.handler = None; self.all_outputs = []
         self.task_queue = queue.Queue() 
@@ -64,48 +65,57 @@ class GenericAgent:
         self.intervene = self.extrakeyinfo = None
 
     def load_llm_sessions(self):
-        mykeys, updated_at = mykeys_store.snapshot()
-        if hasattr(self, 'llmclients') and getattr(self, '_mykeys_updated_at', None) == updated_at: return
-        try: oldhistory, oldname = self.llmclient.backend.history, self.llmclient.backend.name
-        except: oldhistory = oldname = None
-        llm_sessions = []
-        for k, cfg in mykeys.items():
-            if not any(x in k for x in ['api', 'config', 'cookie']): continue
-            try:
-                if 'mixin' in k: llm_sessions += [{'mixin_cfg': cfg}]
-                elif c := resolve_client(k, cfg): llm_sessions += [c]
-            except: pass
-        for i, s in enumerate(llm_sessions):
-            if isinstance(s, dict) and 'mixin_cfg' in s:
+        with self._model_lock:
+            if self.is_running: return
+            mykeys, updated_at = mykeys_store.snapshot()
+            if hasattr(self, 'llmclients') and getattr(self, '_mykeys_updated_at', None) == updated_at: return
+            try: oldhistory = self.llmclient.backend.history
+            except: oldhistory = None
+            try: oldkey = self._llm_config_keys[self.llm_no]
+            except (AttributeError, IndexError): oldkey = None
+            llm_sessions, config_keys = [], []
+            for k, cfg in mykeys.items():
+                if not any(x in k for x in ['api', 'config', 'cookie']): continue
                 try:
-                    mixin = MixinSession(llm_sessions, s['mixin_cfg'])
-                    if isinstance(mixin._sessions[0], (NativeClaudeSession, NativeOAISession)): llm_sessions[i] = NativeToolClient(mixin)
-                    else: llm_sessions[i] = ToolClient(mixin)
-                except Exception as e: print(f'\n\n\n[ERROR] Failed to init MixinSession with cfg {s["mixin_cfg"]}: {e}!!!\n\n')
-        self.llmclients = llm_sessions
-        if not self.llmclients:
-            self.llmclient = None
+                    if 'mixin' in k: llm_sessions += [{'mixin_cfg': cfg}]
+                    elif c := resolve_client(k, cfg): llm_sessions += [c]
+                    else: continue
+                    config_keys.append(k)
+                except: pass
+            for i, s in enumerate(llm_sessions):
+                if isinstance(s, dict) and 'mixin_cfg' in s:
+                    try:
+                        mixin = MixinSession(llm_sessions, s['mixin_cfg'])
+                        if isinstance(mixin._sessions[0], (NativeClaudeSession, NativeOAISession)): llm_sessions[i] = NativeToolClient(mixin)
+                        else: llm_sessions[i] = ToolClient(mixin)
+                    except Exception as e: print(f'\n\n\n[ERROR] Failed to init MixinSession with cfg {s["mixin_cfg"]}: {e}!!!\n\n')
+            self.llmclients, self._llm_config_keys = llm_sessions, config_keys
+            if not self.llmclients:
+                self.llmclient = None
+                self._mykeys_updated_at = updated_at
+                return
+            if oldkey in config_keys: self.llm_no = config_keys.index(oldkey)
+            self.llm_no %= len(self.llmclients)
+            self.llmclient = self.llmclients[self.llm_no]
+            if oldhistory: self.llmclient.backend.history = oldhistory
             self._mykeys_updated_at = updated_at
-            return
-        names = [c.backend.name if not isinstance(c, dict) else f'BADMIXIN_{i}' for i, c in enumerate(self.llmclients)]
-        if oldname in names: self.llm_no = names.index(oldname)
-        self.llmclient = self.llmclients[self.llm_no%len(self.llmclients)]
-        if oldhistory: self.llmclient.backend.history = oldhistory
-        self._mykeys_updated_at = updated_at
     
     def next_llm(self, n=-1):
-        self.load_llm_sessions()
-        if not self.llmclients: return
-        self.llm_no = ((self.llm_no + 1) if n < 0 else n) % len(self.llmclients)
-        lastc = self.llmclient
-        self.llmclient = self.llmclients[self.llm_no]
-        try: self.llmclient.backend.history = lastc.backend.history
-        except: raise Exception('[ERROR] BAD Mixin config: Check your mykey.py')
-        self.llmclient.last_tools = ''
-        load_tool_schema()
+        with self._model_lock:
+            if self.is_running: return
+            self.load_llm_sessions()
+            if not self.llmclients: return
+            self.llm_no = ((self.llm_no + 1) if n < 0 else n) % len(self.llmclients)
+            lastc = self.llmclient
+            self.llmclient = self.llmclients[self.llm_no]
+            try: self.llmclient.backend.history = lastc.backend.history
+            except: raise Exception('[ERROR] BAD Mixin config: Check your mykey.py')
+            self.llmclient.last_tools = ''
+            load_tool_schema()
     def list_llms(self): 
-        self.load_llm_sessions()
-        return [(i, self.get_llm_name(b), i == self.llm_no) for i, b in enumerate(self.llmclients)]
+        with self._model_lock:
+            self.load_llm_sessions()
+            return [(i, self.get_llm_name(b), i == self.llm_no) for i, b in enumerate(self.llmclients)]
     def get_llm_name(self, b=None, model=False):
         b = self.llmclient if b is None else b
         if isinstance(b, dict): return 'BADCONFIG_MIXIN'
@@ -158,36 +168,37 @@ class GenericAgent:
             task = self.task_queue.get()
             if isinstance(task, str): break
             raw_query, source, display_queue = task["query"], task["source"], task["output"]
-            raw_query = self._handle_slash_cmd(raw_query, display_queue)
-            if raw_query is None:
-                self.task_queue.task_done(); continue
-            self.is_running = True; self._current_queue = display_queue
-            if len(raw_query) > 2000:
-                task_file = os.path.join(script_dir, 'temp', f'user_prompt_{os.getpid()}_{time.time_ns()}.md')
-                with open(task_file, 'w', encoding='utf-8') as f: f.write(raw_query)
-                raw_query = f'Long user prompt saved to {task_file}. Read and execute.'
-            self.all_outputs.append({"input": raw_query, "outputs": []})
-            if len(self.all_outputs) > 10000: self.all_outputs = self.all_outputs[-5000:]
-            rquery = smart_format(raw_query.replace('\n', ' '), max_str_len=200)
-            self.history.append(f"[USER]: {rquery}")
-            sys_prompt = get_system_prompt() + '\n'.join(self.extra_sys_prompts) + getattr(self.llmclient.backend, 'extra_sys_prompt', '')
-            if self.peer_hint: sys_prompt += f"\n[Peer] 用户提及其他会话/后台任务状态时: temp/model_responses/ (只找近期修改的文件尾部)\n"
-            handler = GenericAgentHandler(self, self.history, os.path.join(script_dir, 'temp'))
-            if getattr(self, 'no_print', False): handler.print = lambda *a, **k: None
-            if self.handler and 'key_info' in self.handler.working: 
-                ki = re.sub(r'\n\[SYSTEM\] 此为.*?工作记忆[。\n]*', '', self.handler.working['key_info'])  # 去旧
-                handler.working['key_info'] = ki
-                handler.working['passed_sessions'] = ps = self.handler.working.get('passed_sessions', 0) + 1
-                if ps > 0: handler.working['key_info'] += f'\n[SYSTEM] 此为 {ps} 个对话前设置的key_info，若已在新任务，先更新或清除工作记忆。\n'
-            self.handler = handler  # although new handler, the **full** history is in llmclient, so it is full history!
-            self.llmclient.log_path = self.log_path
-            if self.force_non_stream:
-                self.llmclient.backend.stream = False
-                self.llmclient.backend.read_timeout = max(self.llmclient.backend.read_timeout, 1200)
-            gen = agent_runner_loop(self.llmclient, sys_prompt, raw_query, handler, TOOLS_SCHEMA, 
-                                    max_turns=180, verbose=self.verbose, yield_info=True)
+            full_resp = ""; last_pos = 0; curr_turn = 0; turn_resps = []
             try:
-                full_resp = ""; last_pos = 0; curr_turn = 0; turn_resps = self.all_outputs[-1]["outputs"]
+                with self._model_lock:
+                    self.load_llm_sessions()
+                    self.is_running = True; self._current_queue = display_queue
+                raw_query = self._handle_slash_cmd(raw_query, display_queue)
+                if raw_query is None: continue
+                if len(raw_query) > 2000:
+                    task_file = os.path.join(script_dir, 'temp', f'user_prompt_{os.getpid()}_{time.time_ns()}.md')
+                    with open(task_file, 'w', encoding='utf-8') as f: f.write(raw_query)
+                    raw_query = f'Long user prompt saved to {task_file}. Read and execute.'
+                self.all_outputs.append({"input": raw_query, "outputs": turn_resps})
+                if len(self.all_outputs) > 10000: self.all_outputs = self.all_outputs[-5000:]
+                rquery = smart_format(raw_query.replace('\n', ' '), max_str_len=200)
+                self.history.append(f"[USER]: {rquery}")
+                sys_prompt = get_system_prompt() + '\n'.join(self.extra_sys_prompts) + getattr(self.llmclient.backend, 'extra_sys_prompt', '')
+                if self.peer_hint: sys_prompt += f"\n[Peer] 用户提及其他会话/后台任务状态时: temp/model_responses/ (只找近期修改的文件尾部)\n"
+                handler = GenericAgentHandler(self, self.history, os.path.join(script_dir, 'temp'))
+                if getattr(self, 'no_print', False): handler.print = lambda *a, **k: None
+                if self.handler and 'key_info' in self.handler.working:
+                    ki = re.sub(r'\n\[SYSTEM\] 此为.*?工作记忆[。\n]*', '', self.handler.working['key_info'])  # 去旧
+                    handler.working['key_info'] = ki
+                    handler.working['passed_sessions'] = ps = self.handler.working.get('passed_sessions', 0) + 1
+                    if ps > 0: handler.working['key_info'] += f'\n[SYSTEM] 此为 {ps} 个对话前设置的key_info，若已在新任务，先更新或清除工作记忆。\n'
+                self.handler = handler  # although new handler, the **full** history is in llmclient, so it is full history!
+                self.llmclient.log_path = self.log_path
+                if self.force_non_stream:
+                    self.llmclient.backend.stream = False
+                    self.llmclient.backend.read_timeout = max(self.llmclient.backend.read_timeout, 1200)
+                gen = agent_runner_loop(self.llmclient, sys_prompt, raw_query, handler, TOOLS_SCHEMA,
+                                        max_turns=180, verbose=self.verbose, yield_info=True)
                 for chunk in gen:
                     if consume_file(self.task_dir, '_stop'): self.abort() 
                     if self.stop_sig: break
@@ -208,9 +219,12 @@ class GenericAgent:
                 display_queue.put({'done': full_resp + f'\n```\n{format_error(e)}\n```', 'source': source, 'turn': curr_turn, 'outputs': turn_resps.copy()})
             finally:
                 if self.stop_sig: print('User aborted the task.')
-                self.is_running = self.stop_sig = False  # keep _current_queue: its final 'done' may still be unclaimed (refreshed UI salvages it); next task overwrites it
-                self.task_queue.task_done()
                 if self.handler is not None: self.handler.code_stop_signal.append(1)
+                with self._model_lock:
+                    self.is_running = self.stop_sig = False  # keep _current_queue for final output retrieval
+                    try: self.load_llm_sessions()
+                    except Exception as e: print(f'[ERROR] Failed to reload models: {e}')
+                self.task_queue.task_done()
 
 GeneraticAgent = GenericAgent
 

frontends/desktop_bridge.py

@@ -672,6 +672,14 @@ class AgentManager:
 
     def _save_mykey_text(self, text: str) -> list:
         self._mykey_file().write_text(text, encoding="utf-8")
+        with self.lock:
+            for sess in self.sessions.values():
+                if sess.agent is not None:
+                    try:
+                        sess.agent.list_llms()
+                        emit_session_state(sess, sess.status)
+                    except Exception as e:
+                        bridge_print(f"[model reload] {sess.id}: {e}")
         return self.list_model_profiles()
 
     def add_model_profile(self, data: dict) -> dict:
@@ -741,6 +749,9 @@ class AgentManager:
             agentmain = importlib.import_module("agentmain")
             GA = getattr(agentmain, "GenericAgent")
             agent = GA()
+            no = sess.llm_no if sess.llm_no is not None else _global_default_llm_no()
+            if no is not None:
+                agent.next_llm(int(no))
             agent.inc_out = True
             agent.verbose = True
             threading.Thread(target=agent.run, daemon=True, name=f"GA-{sess.id}").start()
@@ -796,7 +807,7 @@ class AgentManager:
             cfg = mk.get(k) if isinstance(mk.get(k), dict) else {}
             if "mixin" in k:
                 members = [str(m) for m in (cfg.get("llm_nos") or [])]
-                out.append({"id": i, "varName": k, "kind": "mixin", "name": "",
+                out.append({"id": i, "varName": k, "kind": "mixin", "name": str(cfg.get("name") or k),
                             "members": members, "active": i == active})
             else:
                 name = self._base_display_name(k, cfg)
@@ -871,14 +882,14 @@ class AgentManager:
     def _live_model(sess: Session) -> Optional[dict]:
         """该会话 agent 当前真正在用的模型(渠道组会随故障转移变化)。
         agent 还没建(没跑过 turn)时返回静态绑定信息,前端据 llmNo 回显选择器。
-        llmNo: 始终以 sess.llm_no 为权威(用户选择),agent.llm_no 在初始化窗口可能滞后。"""
+        已创建的 agent 是模型选择的唯一来源。"""
         ag = getattr(sess, "agent", None)
         if ag is None:
             return {"current": None, "isMixin": False, "llmNo": sess.llm_no,
                     "runningLlmNo": sess.running_llm_no, "runningModel": sess.running_model}
         try:
             back = ag.llmclient.backend
-            live_no = sess.llm_no if sess.llm_no is not None else getattr(ag, "llm_no", 0)
+            live_no = sess.llm_no = ag.llm_no
             if "Mixin" in type(back).__name__:
                 return {"current": back.current_name, "isMixin": True, "llmNo": live_no,
                         "runningLlmNo": sess.running_llm_no, "runningModel": sess.running_model}
@@ -1080,13 +1091,8 @@ class AgentManager:
                     except Exception:
                         pass
             agent = sess.agent
-            # 模型取会话绑定 sess.llm_no,未绑定回退全局默认。切换走 set_session_model。
-            no = sess.llm_no if sess.llm_no is not None else _global_default_llm_no()
-            if no is not None and hasattr(agent, "next_llm"):
-                with contextlib.suppress(Exception):
-                    agent.next_llm(int(no))
             with self.lock:
-                sess.running_llm_no = getattr(agent, "llm_no", no)
+                sess.running_llm_no = agent.llm_no
                 try:
                     running_backend = agent.llmclient.backend
                     sess.running_model = str(
@@ -1311,18 +1317,18 @@ class AgentManager:
     def set_session_model(self, sid: str, llm_no: int) -> dict:
         """Bind a model to a session.
 
-        An idle agent switches immediately. A running turn keeps its captured client;
-        the new binding is applied at the start of the next turn.
+        Existing agents own selection; running turns ignore switch requests.
         """
         with self.mutation():
             sess = self.sessions.get(sid)
             if not sess:
                 raise web.HTTPNotFound(text=json.dumps({"error": f"session not found: {sid}"}, ensure_ascii=False), content_type="application/json")
-            sess.llm_no = int(llm_no)
-            if (sess.status != "running" and sess.agent is not None
-                    and hasattr(sess.agent, "next_llm")):
-                with contextlib.suppress(Exception):
+            if sess.status != "running":
+                if sess.agent is None:
+                    sess.llm_no = int(llm_no)
+                else:
                     sess.agent.next_llm(int(llm_no))
+                    sess.llm_no = sess.agent.llm_no
             sess.updated_at = time.time()
             self._persist_session(sess)
         return {"ok": True, "sessionId": sid, "llmNo": sess.llm_no, "model": self._live_model(sess)}

frontends/tests/test_mykeys_reload.py

@@ -1,203 +0,0 @@
-"""Isolate configuration loading from real keys, network and agent startup."""
-import ast
-import importlib.util
-import json
-import os
-import sys
-import threading
-import time
-from pathlib import Path
-from types import SimpleNamespace
-from concurrent.futures import ThreadPoolExecutor
-
-import pytest
-
-ROOT = Path(__file__).resolve().parents[2]
-
-
-def extract(path, names, namespace):
-    tree = ast.parse(path.read_text(encoding="utf-8"))
-    nodes = [n for n in tree.body if getattr(n, "name", None) in names]
-    exec(compile(ast.Module(body=nodes, type_ignores=[]), str(path), "exec"), namespace)
-
-
-@pytest.fixture
-def core(tmp_path, monkeypatch):
-    # Never resolve or import the user's actual mykey module.
-    source = tmp_path / "mykey.py"
-    def find_spec(name):
-        assert name == "mykey"
-        return importlib.util.spec_from_file_location(name, source) if source.exists() else None
-    monkeypatch.setattr(importlib.util, "find_spec", find_spec)
-    monkeypatch.delitem(sys.modules, "mykey", raising=False)
-    ns = dict(os=os, sys=sys, json=json, time=time, threading=threading,
-              importlib=importlib, __file__=str(tmp_path / "llmcore.py"))
-    extract(ROOT / "llmcore.py", {"MyKeys", "reload_mykeys", "_load_mykeys", "__getattr__", "resolve_session", "resolve_client"}, ns)
-    ns["mykeys_store"] = ns["MyKeys"]()
-    yield ns, source
-    sys.modules.pop("mykey", None)
-
-
-def write(source, value, stamp=1700000000000000100):
-    source.write_text("oai_config = " + repr({"name": "test", "model": value}) + "\n", encoding="utf-8")
-    os.utime(source, ns=(stamp, stamp))
-
-
-def agent_type(ns):
-    tree = ast.parse((ROOT / "agentmain.py").read_text(encoding="utf-8"))
-    cls = next(n for n in tree.body if isinstance(n, ast.ClassDef) and n.name == "GenericAgent")
-    cls.body = [n for n in cls.body if getattr(n, "name", None) == "load_llm_sessions"]
-    exec(compile(ast.Module(body=[cls], type_ignores=[]), "agentmain.py", "exec"), ns)
-    return ns["GenericAgent"]
-
-
-def test_two_agents_update_even_if_bridge_read_first(core):
-    ns, source = core
-    write(source, "A")
-    built = []
-    def resolve(name, cfg):
-        built.append(cfg["model"])
-        return SimpleNamespace(backend=SimpleNamespace(name=cfg["name"], model=cfg["model"], history=[]))
-    ns["resolve_client"] = resolve
-    Agent = agent_type(ns)
-    a, b = Agent(), Agent()
-    for ga in (a, b):
-        ga.llm_no = 0
-        ga.load_llm_sessions()
-    history = [{"role": "user", "content": "preserve"}]
-    a.llmclient.backend.history = history
-    old = a.llmclient
-    a.load_llm_sessions()
-    assert a.llmclient is old
-    write(source, "B", 1700000000000000200)
-    assert ns["reload_mykeys"]()[1] is True  # bridge consumes old changed signal
-    assert ns["reload_mykeys"]()[1] is False
-    for ga in (a, b):
-        ga.load_llm_sessions()
-        assert ga.llmclient.backend.model == "B"
-    assert a.llmclient.backend.history is history
-    assert built == ["A", "A", "B", "B"]
-
-
-def test_same_second_same_size_and_backwards_mtime(core):
-    ns, source = core
-    write(source, "A")
-    store = ns["mykeys_store"]
-    first = store.snapshot()[1]
-    write(source, "B", 1700000000000000200)
-    data, second = store.snapshot()
-    assert data["oai_config"]["model"] == "B" and second > first
-    write(source, "C", 1600000000000000000)
-    data, third = store.snapshot()
-    assert data["oai_config"]["model"] == "C" and third > second
-
-
-def test_json_fallback_and_legacy_interfaces(core):
-    ns, source = core
-    source.with_suffix(".json").write_text('{"oai_config": {"model": "A"}}', encoding="utf-8")
-    data, changed = ns["reload_mykeys"]()
-    assert changed is True
-    assert ns["__getattr__"]("mykeys") is data
-    assert ns["reload_mykeys"]() == (data, False)
-    assert ns["_load_mykeys"]() == data
-    with pytest.raises(AttributeError): ns["__getattr__"]("unknown")
-
-
-def test_failure_keeps_last_good_snapshot_and_recovers(core):
-    ns, source = core
-    write(source, "A")
-    store = ns["mykeys_store"]
-    before = store.snapshot()
-    source.write_text("oai_config = {", encoding="utf-8")
-    assert store.snapshot() == before
-    source.unlink()
-    assert store.snapshot() == before
-    write(source, "B", 1700000000000000300)
-    assert store.snapshot()[0]["oai_config"]["model"] == "B"
-
-
-def test_force_refresh_publishes_once_for_all_readers(core):
-    ns, source = core
-    write(source, "A")
-    store = ns["mykeys_store"]
-    before = store.snapshot()[1]
-    store.reload(force=True)
-    after = store.snapshot()[1]
-    assert after > before
-    with ThreadPoolExecutor(max_workers=8) as pool:
-        results = list(pool.map(lambda _: store.snapshot()[1], range(32)))
-    assert results == [after] * 32
-
-
-def test_resolvers_accept_snapshot_without_reading_global_or_mutating_it(core):
-    ns, source = core
-    class Session:
-        def __init__(self, cfg): self.cfg = cfg
-    ns.update(LLMSession=Session, ClaudeSession=Session, NativeClaudeSession=type("NC", (), {}),
-              NativeOAISession=type("NO", (), {}), ToolClient=lambda s: s)
-    cfg = {"model": "A"}
-    ns["reload_mykeys"] = lambda: pytest.fail("unexpected global config read")
-    session = ns["resolve_client"]("oai_config", cfg)
-    assert session.cfg == {"model": "A", "_mykey_name": "oai_config"}
-    assert cfg == {"model": "A"}
-    ns["reload_mykeys"] = lambda: ({"oai_config": cfg}, False)
-    assert ns["resolve_session"]("oai_config").cfg == session.cfg
-
-
-def test_bridge_save_only_writes_config_and_reads_profiles(tmp_path):
-    tree = ast.parse((ROOT / "frontends/desktop_bridge.py").read_text(encoding="utf-8"))
-    cls = next(n for n in tree.body if isinstance(n, ast.ClassDef) and n.name == "AgentManager")
-    method = next(n for n in cls.body if getattr(n, "name", None) == "_save_mykey_text")
-    ns = {}
-    exec(compile(ast.Module(body=[method], type_ignores=[]), "desktop_bridge.py", "exec"), ns)
-    file = tmp_path / "synthetic_config.py"
-    manager = SimpleNamespace(_mykey_file=lambda: file, list_model_profiles=lambda: ["profile"])
-    assert ns["_save_mykey_text"](manager, "synthetic = {}") == ["profile"]
-    assert file.read_text(encoding="utf-8") == "synthetic = {}"
-
-
-def test_ga_preserves_selected_model_when_config_order_changes(core):
-    ns, source = core
-    ns["resolve_client"] = lambda name, cfg: SimpleNamespace(backend=SimpleNamespace(name=cfg["name"], history=[]))
-    Agent = agent_type(ns)
-    ga = Agent()
-    ga.llm_no = 1
-    source.write_text("oai_config_a = {'name': 'A'}\noai_config_b = {'name': 'B'}\n", encoding="utf-8")
-    ga.load_llm_sessions()
-    assert ga.llmclient.backend.name == "B"
-    source.write_text("oai_config_b = {'name': 'B'}\noai_config_a = {'name': 'A'}\n", encoding="utf-8")
-    os.utime(source, ns=(1700000000000000000, 1700000000000000000))
-    ga.load_llm_sessions()
-    assert ga.llmclient.backend.name == "B" and ga.llm_no == 0
-
-
-def test_ga_drops_stale_client_when_models_removed(core):
-    ns, source = core
-    ns["resolve_client"] = lambda name, cfg: SimpleNamespace(backend=SimpleNamespace(name=cfg["name"], history=[]))
-    Agent = agent_type(ns)
-    ga = Agent()
-    ga.llm_no = 0
-    write(source, "A")
-    ga.load_llm_sessions()
-    source.write_text("", encoding="utf-8")
-    os.utime(source, ns=(1700000000000000500, 1700000000000000500))
-    ga.load_llm_sessions()
-    assert ga.llmclients == [] and ga.llmclient is None
-
-
-def test_loader_does_not_reuse_same_second_bytecode(core):
-    import py_compile
-    ns, source = core
-    write(source, "A")
-    py_compile.compile(str(source), doraise=True)
-    write(source, "B", 1700000000000000200)
-    assert ns["mykeys_store"].snapshot()[0]["oai_config"]["model"] == "B"
-
-
-def test_legacy_direct_loader_raises_and_cleans_failed_module(core):
-    ns, source = core
-    source.write_text("partial = 1\nraise RuntimeError('synthetic failure')\n", encoding="utf-8")
-    with pytest.raises(RuntimeError, match="synthetic failure"):
-        ns["_load_mykeys"]()
-    assert "mykey" not in sys.modules
-    assert ns["reload_mykeys"]() == ({}, False)