Merge PR #103: Codex CLI 增加 GPT-5.6 支持 + 安全隔离

冲突解决: 保留自定义预设 + GPT-5.6 模型选择 + reasoning_effort 配置

backend/app/api/settings.py

@@ -53,7 +53,12 @@ def get_settings() -> dict:
     """返回当前配置概况(Key 脱敏)。"""
     from app.config import settings
     from app.services import preferences
-    from app.services.ai_provider import ai_configured, current_ai_model, current_codex_command
+    from app.services.ai_provider import (
+        ai_configured,
+        current_ai_model,
+        current_codex_command,
+        current_codex_reasoning_effort,
+    )
 
     key = secrets_store.get_tickflow_key()
     ai_provider = secrets_store.get_ai_config("ai_provider", settings.ai_provider)
@@ -76,6 +81,7 @@ def get_settings() -> dict:
         "ai_configured": ai_configured(ai_provider),
         "ai_model": current_ai_model(),
         "ai_codex_command": current_codex_command(),
+        "ai_codex_reasoning_effort": current_codex_reasoning_effort(),
         "ai_user_agent": secrets_store.get_ai_config("ai_user_agent", settings.ai_user_agent),
     }
 
@@ -234,6 +240,7 @@ class AiSettingsIn(BaseModel):
     api_key: str | None = None
     model: str = ""
     codex_command: str = ""
+    codex_reasoning_effort: str = ""
     user_agent: str = ""
 
 
@@ -241,7 +248,15 @@ class AiSettingsIn(BaseModel):
 def save_ai_settings(req: AiSettingsIn) -> dict:
     """保存 AI 配置（全部持久化到 secrets.json）"""
     from app.config import settings
-    from app.services.ai_provider import ai_configured, current_ai_model, current_ai_provider, current_codex_command, normalize_codex_command
+    from app.services.ai_provider import (
+        ai_configured,
+        current_ai_model,
+        current_ai_provider,
+        current_codex_command,
+        current_codex_reasoning_effort,
+        normalize_codex_command,
+        normalize_codex_reasoning_effort,
+    )
 
     updates: dict = {}
     if req.provider:
@@ -268,8 +283,11 @@ def save_ai_settings(req: AiSettingsIn) -> dict:
             codex_command = normalize_codex_command(req.codex_command)
         except ValueError as exc:
             raise HTTPException(status_code=400, detail=str(exc)) from exc
+        codex_reasoning_effort = normalize_codex_reasoning_effort(req.codex_reasoning_effort)
         updates["ai_codex_command"] = codex_command
+        updates["ai_codex_reasoning_effort"] = codex_reasoning_effort
         settings.ai_codex_command = codex_command
+        settings.ai_codex_reasoning_effort = codex_reasoning_effort
     # user_agent 允许清空(回到默认浏览器 UA),故无条件持久化
     updates["ai_user_agent"] = req.user_agent
     settings.ai_user_agent = req.user_agent
@@ -283,6 +301,7 @@ def save_ai_settings(req: AiSettingsIn) -> dict:
         "ai_provider": provider,
         "ai_model": current_ai_model(),
         "ai_codex_command": current_codex_command(),
+        "ai_codex_reasoning_effort": current_codex_reasoning_effort(),
         "ai_configured": ai_configured(provider),
     }
 
@@ -295,13 +314,14 @@ def clear_ai_settings() -> dict:
     """
     from app.config import settings
 
-    secrets_store.clear("ai_provider", "ai_base_url", "ai_api_key", "ai_model", "ai_codex_command")
+    secrets_store.clear("ai_provider", "ai_base_url", "ai_api_key", "ai_model", "ai_codex_command", "ai_codex_reasoning_effort")
     # 同步重置运行时内存(provider 回默认值,其余置空)
     settings.ai_provider = "openai_compat"
     settings.ai_base_url = ""
     settings.ai_api_key = ""
     settings.ai_model = ""
     settings.ai_codex_command = "codex"
+    settings.ai_codex_reasoning_effort = ""
 
     return {"ok": True}
 

backend/app/api/strategy.py

@@ -564,7 +564,11 @@ async def ai_test(request: Request):
         )
         return {"ok": True, "model": current_ai_model() or current_ai_provider(), "response": text[:80]}
     except Exception as e:
-        return {"ok": False, "error": str(e)}
+        return {
+            "ok": False,
+            "error": str(e) or repr(e),
+            "error_type": type(e).__name__,
+        }
 
 
 def _build_prompt(req: BuildRequest) -> str:

backend/app/config.py

@@ -81,6 +81,7 @@ class Settings(BaseSettings):
     ai_api_key: str = ""
     ai_model: str = "gpt-5.5"
     ai_codex_command: str = "codex"
+    ai_codex_reasoning_effort: str = ""
     # 默认浏览器风格 UA,绕过 Cloudflare 等 CDN/WAF 的 Bot 拦截(Issue #8)。
     # 用户可在 AI 设置页按需修改。
     ai_user_agent: str = (

backend/app/services/ai_provider.py

@@ -5,11 +5,15 @@ import asyncio
 import os
 import re
 import shutil
+import stat
+import subprocess
 import sys
 import tempfile
+import time
 import tomllib
-from collections.abc import AsyncIterator, Sequence
+from collections.abc import AsyncIterator, Callable, Sequence
 from pathlib import Path
+from types import TracebackType
 
 from app import secrets_store
 from app.config import settings
@@ -17,8 +21,47 @@ from app.config import settings
 OPENAI_COMPAT_PROVIDER = "openai_compat"
 CODEX_CLI_PROVIDER = "codex_cli"
 CODEX_DEFAULT_COMMAND = "codex"
-CODEX_SERVICE_TIER_FALLBACK = "fast"
-CODEX_SUPPORTED_SERVICE_TIERS = {"fast", "flex"}
+CODEX_SUPPORTED_REASONING_EFFORTS = {"none", "minimal", "low", "medium", "high", "xhigh"}
+
+_CODEX_ENV_ALLOWLIST = (
+    "PATH",
+    "PATHEXT",
+    "SYSTEMROOT",
+    "WINDIR",
+    "COMSPEC",
+    "HOME",
+    "USERPROFILE",
+    "HOMEDRIVE",
+    "HOMEPATH",
+    "APPDATA",
+    "LOCALAPPDATA",
+    "PROGRAMDATA",
+    "PROGRAMFILES",
+    "PROGRAMFILES(X86)",
+    "TEMP",
+    "TMP",
+    "TMPDIR",
+    "SHELL",
+    "USER",
+    "LOGNAME",
+    "LANG",
+    "LC_ALL",
+    "LC_CTYPE",
+    "TZ",
+    "HTTP_PROXY",
+    "HTTPS_PROXY",
+    "ALL_PROXY",
+    "NO_PROXY",
+    "http_proxy",
+    "https_proxy",
+    "all_proxy",
+    "no_proxy",
+    "SSL_CERT_FILE",
+    "SSL_CERT_DIR",
+    "REQUESTS_CA_BUNDLE",
+    "CURL_CA_BUNDLE",
+    "NODE_EXTRA_CA_CERTS",
+)
 
 Message = dict[str, str]
 
@@ -42,6 +85,15 @@ def current_codex_command() -> str:
     )
 
 
+def current_codex_reasoning_effort() -> str:
+    return normalize_codex_reasoning_effort(
+        secrets_store.get_ai_config(
+            "ai_codex_reasoning_effort",
+            settings.ai_codex_reasoning_effort,
+        )
+    )
+
+
 def is_codex_cli_provider(provider: str | None = None) -> bool:
     return (provider or current_ai_provider()) == CODEX_CLI_PROVIDER
 
@@ -49,12 +101,20 @@ def is_codex_cli_provider(provider: str | None = None) -> bool:
 def normalize_codex_model(model: str) -> str:
     value = model.strip()
     aliases = {
-        "gpt5": "gpt-5",
         "gpt5.5": "gpt-5.5",
+        "gpt5.6": "gpt-5.6-sol",
+        "gpt5.6-sol": "gpt-5.6-sol",
+        "gpt5.6-terra": "gpt-5.6-terra",
+        "gpt5.6-luna": "gpt-5.6-luna",
     }
     return aliases.get(value.lower(), value)
 
 
+def normalize_codex_reasoning_effort(effort: str | None) -> str:
+    value = (effort or "").strip().lower()
+    return value if value in CODEX_SUPPORTED_REASONING_EFFORTS else ""
+
+
 def normalize_codex_command(command: str | None, *, strict: bool = True) -> str:
     value = (command or "").strip()
     if not value or value.lower() == CODEX_DEFAULT_COMMAND:
@@ -363,8 +423,8 @@ async def _run_codex_cli(
     timeout: float,
 ) -> str:
     prompt = _codex_prompt(messages, max_tokens=max_tokens)
-    with tempfile.TemporaryDirectory(prefix="tickflow-codex-run-") as run_dir:
-        run_path = Path(run_dir)
+    run_path = Path(tempfile.mkdtemp(prefix="tickflow-codex-run-"))
+    try:
         codex_home_path = run_path / "codex-home"
         workspace_path = run_path / "workspace"
         codex_home_path.mkdir()
@@ -389,37 +449,107 @@ async def _run_codex_cli(
             args.extend(["--model", model])
         args.extend(["--cd", str(workspace_path), "-"])
 
-        env = os.environ.copy()
-        env.setdefault("NO_COLOR", "1")
-        env["CODEX_HOME"] = str(codex_home_path)
+        env = _codex_process_env(codex_home_path)
 
-        proc = await asyncio.create_subprocess_exec(
-            *args,
-            stdin=asyncio.subprocess.PIPE,
-            stdout=asyncio.subprocess.PIPE,
-            stderr=asyncio.subprocess.PIPE,
-            env=env,
+        returncode, stdout, stderr = await asyncio.to_thread(
+            _run_codex_process,
+            args,
+            prompt,
+            env,
+            timeout,
         )
-        try:
-            stdout, stderr = await asyncio.wait_for(
-                proc.communicate(prompt.encode("utf-8")),
-                timeout=timeout,
-            )
-        except TimeoutError as exc:
-            proc.kill()
-            await proc.wait()
-            raise RuntimeError("Codex CLI 调用超时, 请稍后重试或检查本机 Codex 登录状态") from exc
 
         out = _clean_process_text(stdout)
         err = _clean_process_text(stderr)
         final_message = _read_output_file(output_path)
-        if proc.returncode != 0:
-            detail = err or out or f"exit code {proc.returncode}"
+        if returncode != 0:
+            detail = err or out or f"exit code {returncode}"
             raise RuntimeError(f"Codex CLI 调用失败: {detail[-1200:]}")
         result = final_message or out
         if not result:
             raise RuntimeError("Codex CLI 未返回内容")
         return result
+    finally:
+        await asyncio.to_thread(_remove_tree_best_effort, run_path)
+
+
+def _run_codex_process(
+    args: Sequence[str],
+    prompt: str,
+    env: dict[str, str],
+    timeout: float,
+) -> tuple[int, bytes, bytes]:
+    try:
+        proc = subprocess.run(
+            list(args),
+            input=prompt.encode("utf-8"),
+            capture_output=True,
+            env=env,
+            timeout=timeout,
+            check=False,
+        )
+    except subprocess.TimeoutExpired as exc:
+        raise RuntimeError("Codex CLI 调用超时, 请稍后重试或检查本机 Codex 登录状态") from exc
+    return proc.returncode, proc.stdout, proc.stderr
+
+
+def _codex_process_env(codex_home_path: Path) -> dict[str, str]:
+    """Pass only OS, locale, certificate, and proxy settings to Codex."""
+    env: dict[str, str] = {}
+    seen: set[str] = set()
+    for name in _CODEX_ENV_ALLOWLIST:
+        normalized = name.casefold() if os.name == "nt" else name
+        if normalized in seen:
+            continue
+        value = os.environ.get(name)
+        if value:
+            env[name] = value
+            seen.add(normalized)
+    env["NO_COLOR"] = "1"
+    env["CODEX_HOME"] = str(codex_home_path)
+    return env
+
+
+def _remove_tree_best_effort(path: Path) -> None:
+    _remove_auth_files(path)
+    for attempt in range(4):
+        try:
+            shutil.rmtree(path, onerror=_make_writable_and_retry)
+            return
+        except FileNotFoundError:
+            return
+        except OSError:
+            if attempt == 3:
+                break
+            time.sleep(0.2 * (attempt + 1))
+    _remove_auth_files(path)
+    shutil.rmtree(path, ignore_errors=True)
+    _remove_auth_files(path)
+
+
+def _remove_auth_files(path: Path) -> None:
+    try:
+        auth_files = list(path.rglob("auth.json"))
+    except OSError:
+        return
+    for auth_file in auth_files:
+        try:
+            os.chmod(auth_file, stat.S_IWRITE)
+            auth_file.unlink(missing_ok=True)
+        except OSError:
+            pass
+
+
+def _make_writable_and_retry(
+    func: Callable[[str], object],
+    path: str,
+    exc_info: tuple[type[BaseException], BaseException, TracebackType],
+) -> None:
+    try:
+        os.chmod(path, stat.S_IWRITE)
+        func(path)
+    except OSError:
+        raise exc_info[1] from None
 
 
 def _codex_prompt(messages: Sequence[Message], *, max_tokens: int) -> str:
@@ -539,10 +669,16 @@ def _write_compatible_codex_config(path: Path) -> None:
     config = _read_codex_config()
     lines: list[str] = []
 
-    tier = str(config.get("service_tier") or "").strip()
-    if tier not in CODEX_SUPPORTED_SERVICE_TIERS:
-        tier = CODEX_SERVICE_TIER_FALLBACK
-    lines.append(_toml_string("service_tier", tier))
+    model = current_ai_model() or normalize_codex_model(str(config.get("model") or ""))
+    if model:
+        lines.append(_toml_string("model", model))
+
+    effort = current_codex_reasoning_effort() or normalize_codex_reasoning_effort(
+        str(config.get("model_reasoning_effort") or "")
+    )
+    if effort:
+        lines.append(_toml_string("model_reasoning_effort", effort))
+
     lines.append(_toml_string("approval_policy", "never"))
     lines.append(_toml_string("sandbox_mode", "read-only"))
 

backend/tests/test_ai_provider.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import httpx
 import openai
 
+from app.services import ai_provider
 from app.services.ai_provider import (
     _format_openai_error,
     _is_temperature_rejected,
@@ -140,3 +141,23 @@ def test_is_temperature_rejected_false_for_non_400():
     )
     exc = openai.AuthenticationError("unauthorized", response=response, body=None)
     assert _is_temperature_rejected(exc) is False
+
+
+def test_codex_process_env_excludes_application_secrets(monkeypatch, tmp_path):
+    monkeypatch.setenv("PATH", "test-path")
+    monkeypatch.setenv("HTTPS_PROXY", "http://proxy.example")
+    monkeypatch.setenv("TICKFLOW_API_KEY", "tickflow-secret")
+    monkeypatch.setenv("AI_API_KEY", "ai-secret")
+    monkeypatch.setenv("OPENAI_API_KEY", "openai-secret")
+    monkeypatch.setenv("AUTH_PASSWORD", "password-secret")
+
+    env = ai_provider._codex_process_env(tmp_path / "codex-home")
+
+    assert env["PATH"] == "test-path"
+    assert env["HTTPS_PROXY"] == "http://proxy.example"
+    assert env["NO_COLOR"] == "1"
+    assert env["CODEX_HOME"] == str(tmp_path / "codex-home")
+    assert "TICKFLOW_API_KEY" not in env
+    assert "AI_API_KEY" not in env
+    assert "OPENAI_API_KEY" not in env
+    assert "AUTH_PASSWORD" not in env

frontend/src/lib/api.ts

@@ -703,6 +703,7 @@ export interface SettingsState {
   ai_configured?: boolean
   ai_model: string
   ai_codex_command?: string
+  ai_codex_reasoning_effort?: string
   ai_user_agent: string
 }
 
@@ -896,8 +897,8 @@ export const api = {
     ),
 
   /** 保存 AI 配置 */
-  saveAiSettings: (ai: { provider?: string; base_url?: string; api_key?: string; model?: string; codex_command?: string; user_agent?: string }) =>
-    request<{ ok: boolean; ai_provider?: string; ai_model?: string; ai_codex_command?: string; ai_configured?: boolean }>('/api/settings/ai', {
+  saveAiSettings: (ai: { provider?: string; base_url?: string; api_key?: string; model?: string; codex_command?: string; codex_reasoning_effort?: string; user_agent?: string }) =>
+    request<{ ok: boolean; ai_provider?: string; ai_model?: string; ai_codex_command?: string; ai_codex_reasoning_effort?: string; ai_configured?: boolean }>('/api/settings/ai', {
       method: 'POST',
       body: JSON.stringify(ai),
     }),

frontend/src/pages/settings/AI.tsx

@@ -15,22 +15,40 @@ const INPUT_CLS =
 
 const CODEX_PROVIDER = 'codex_cli'
 const OPENAI_PROVIDER = 'openai_compat'
-const CUSTOM_CODEX_MODEL = '__custom__'
 const CODEX_COMMAND = 'codex'
+const DEFAULT_CODEX_MODEL = 'gpt-5.6-sol'
+const DEFAULT_CODEX_REASONING_EFFORT = 'xhigh'
+const SAVED_CODEX_OPTION_VALUE = '__saved_codex_config__'
+const CODEX_REASONING_LABELS: Record<string, string> = {
+  high: '高',
+  xhigh: '极高',
+}
 
-const CODEX_MODEL_OPTIONS = [
-  { label: 'Codex 默认（推荐）', value: '', hint: '使用当前 Codex CLI 支持的默认模型' },
-  { label: 'gpt-5.5', value: 'gpt-5.5', hint: '高能力模型' },
-  { label: 'gpt-5', value: 'gpt-5', hint: '通用模型' },
+type CodexModelOption = { label: string; value: string; model: string; effort: string; hint: string }
+
+const CODEX_MODEL_OPTIONS: CodexModelOption[] = [
+  { label: 'GPT-5.6 Sol · 极高（推荐）', value: 'gpt-5.6-sol:xhigh', model: 'gpt-5.6-sol', effort: 'xhigh', hint: '旗舰档，适合复杂金融分析与专业任务' },
+  { label: 'GPT-5.6 Terra · 极高', value: 'gpt-5.6-terra:xhigh', model: 'gpt-5.6-terra', effort: 'xhigh', hint: '平衡智能、速度与使用成本' },
+  { label: 'GPT-5.6 Luna · 极高', value: 'gpt-5.6-luna:xhigh', model: 'gpt-5.6-luna', effort: 'xhigh', hint: '适合成本敏感与高频分析任务' },
+  { label: 'gpt-5.5 · 高', value: 'gpt-5.5:high', model: 'gpt-5.5', effort: 'high', hint: '使用 gpt-5.5 + high 推理档' },
+  { label: 'gpt-5.5 · 极高', value: 'gpt-5.5:xhigh', model: 'gpt-5.5', effort: 'xhigh', hint: '使用 gpt-5.5 + xhigh 推理档' },
+  { label: '跟随本机 Codex 默认', value: '', model: '', effort: '', hint: '使用本机 Codex CLI 配置的默认模型与推理强度' },
 ]
 
+const codexModelLabel = (model?: string, effort?: string) => {
+  if (!model && !effort) return '默认模型'
+  const modelLabel = model || '默认模型'
+  const effortLabel = effort ? CODEX_REASONING_LABELS[effort] ?? effort : ''
+  return effortLabel ? `${modelLabel} · ${effortLabel}` : modelLabel
+}
+
 const PRESETS: { label: string; provider?: string; url: string; model: string; codexCommand?: string; website: string; websiteLabel: string; description: string; partner?: boolean; promo?: string; custom?: boolean }[] = [
   { label: '自定义', url: '', model: '', website: '', websiteLabel: '', description: '不自动填充任何配置，完全手动填写 API 地址、模型和密钥。', custom: true },
   { label: 'DeepSeek', url: 'https://api.deepseek.com', model: 'deepseek-v4-pro', website: 'https://www.deepseek.com/', websiteLabel: 'deepseek.com', description: 'DeepSeek 官方 OpenAI 兼容接口。' },
   { label: '通义千问', url: 'https://dashscope.aliyuncs.com/compatible-mode/v1', model: 'qwen-3.6plus', website: 'https://tongyi.aliyun.com/', websiteLabel: 'tongyi.aliyun.com', description: '阿里云 DashScope 兼容模式接口。' },
   { label: '智谱 GLM', url: 'https://open.bigmodel.cn/api/paas/v4', model: 'glm-5.2', website: 'https://open.bigmodel.cn/', websiteLabel: 'open.bigmodel.cn', description: '智谱 AI 官方 OpenAI 兼容接口。' },
   { label: 'Kimi', url: 'https://api.moonshot.cn/v1', model: 'kimi-k2.7-code', website: 'https://platform.moonshot.cn/', websiteLabel: 'platform.moonshot.cn', description: '月之暗面 Moonshot 官方 OpenAI 兼容接口，支持超长上下文。' },
-  { label: 'Codex CLI', provider: CODEX_PROVIDER, url: '', model: '', codexCommand: CODEX_COMMAND, website: 'https://developers.openai.com/codex/noninteractive', websiteLabel: 'codex exec', description: '调用本机 Codex CLI 的 codex exec, 适合已登录 ChatGPT/Codex 的本地环境。' },
+  { label: 'Codex CLI', provider: CODEX_PROVIDER, url: '', model: DEFAULT_CODEX_MODEL, codexCommand: CODEX_COMMAND, website: 'https://developers.openai.com/codex/noninteractive', websiteLabel: 'codex exec', description: '调用本机 Codex CLI 的 codex exec, 适合已登录 ChatGPT/Codex 的本地环境。' },
   { label: '炸鸡中转站', url: 'https://api.zhaji.dev/v1', model: 'gpt-5.5', website: 'https://api.zhaji.dev', websiteLabel: 'api.zhaji.dev', description: 'OpenAI 兼容中转服务，适合直接使用国际模型。', partner: true, promo: '通过链接邀请注册赠送免费额度 · 国际模型最低0.02倍率' },
 ]
 
@@ -43,7 +61,7 @@ export function SettingsAIPanel() {
   const [baseUrl, setBaseUrl] = useState('')
   const [apiKey, setApiKey] = useState('')
   const [model, setModel] = useState('')
-  const [codexCustomModel, setCodexCustomModel] = useState(false)
+  const [codexReasoningEffort, setCodexReasoningEffort] = useState('')
   const [codexCommand, setCodexCommand] = useState(CODEX_COMMAND)
   const [customUa, setCustomUa] = useState(false)
   const [userAgent, setUserAgent] = useState('')
@@ -59,17 +77,39 @@ export function SettingsAIPanel() {
   // 选中的预设: 精确匹配 provider+url/codexCommand; 匹配不上时默认"自定义"
   const matchedPreset = PRESETS.find(p => (p.provider ?? OPENAI_PROVIDER) === provider && (isCodexProvider ? p.codexCommand === codexCommand : p.url === baseUrl))
   const selectedPreset = matchedPreset ?? PRESETS.find(p => p.custom)
-  const codexModelSelectValue = codexCustomModel ? CUSTOM_CODEX_MODEL : model
+  const savedCodexModel = savedCodexProvider ? (s?.ai_model ?? '') : ''
+  const savedCodexEffort = savedCodexProvider ? (s?.ai_codex_reasoning_effort ?? '') : ''
+  const savedCodexOptionKnown = CODEX_MODEL_OPTIONS.some(option =>
+    option.model === savedCodexModel && option.effort === savedCodexEffort,
+  )
+  const savedCodexOption: CodexModelOption | null =
+    (savedCodexModel || savedCodexEffort) && !savedCodexOptionKnown
+      ? {
+          label: `${codexModelLabel(savedCodexModel, savedCodexEffort)}（当前配置）`,
+          value: SAVED_CODEX_OPTION_VALUE,
+          model: savedCodexModel,
+          effort: savedCodexEffort,
+          hint: '保留项目中已保存的模型与推理档；此兼容项不可编辑',
+        }
+      : null
+  const codexModelOptions = savedCodexOption
+    ? [savedCodexOption, ...CODEX_MODEL_OPTIONS]
+    : CODEX_MODEL_OPTIONS
+  const selectedCodexModelOption = codexModelOptions.find(option =>
+    option.model === model && option.effort === codexReasoningEffort,
+  ) ?? CODEX_MODEL_OPTIONS[0]
+  const codexModelSelectValue = selectedCodexModelOption.value
   const canSave = isCodexProvider ? true : !!baseUrl.trim() && !!model.trim()
 
   useEffect(() => {
     if (!s) return
     // 未配置过 AI (无 api_key): 字段留空, 默认选中"自定义"预设, 不预填充后端默认值
     const unconfigured = !s.has_ai_key && !s.ai_configured
-    setProvider(s.ai_provider ?? OPENAI_PROVIDER)
+    const savedProvider = s.ai_provider ?? OPENAI_PROVIDER
+    setProvider(savedProvider)
     setBaseUrl(unconfigured ? '' : (s.ai_base_url ?? ''))
     setModel(unconfigured ? '' : (s.ai_model ?? ''))
-    setCodexCustomModel(!unconfigured && !!s.ai_model && !CODEX_MODEL_OPTIONS.some(o => o.value === s.ai_model))
+    setCodexReasoningEffort(unconfigured ? '' : (s.ai_codex_reasoning_effort ?? ''))
     setCodexCommand(s.ai_codex_command ?? CODEX_COMMAND)
     const ua = s.ai_user_agent ?? ''
     setCustomUa(!!ua)
@@ -82,6 +122,7 @@ export function SettingsAIPanel() {
     api_key: apiKey || undefined,
     model,
     codex_command: isCodexProvider ? CODEX_COMMAND : codexCommand,
+    codex_reasoning_effort: isCodexProvider ? codexReasoningEffort : '',
     user_agent: customUa ? userAgent : '',
   })
 
@@ -96,6 +137,7 @@ export function SettingsAIPanel() {
         ai_base_url: baseUrl,
         ai_model: result.ai_model ?? model,
         ai_codex_command: result.ai_codex_command ?? (isCodexProvider ? CODEX_COMMAND : codexCommand),
+        ai_codex_reasoning_effort: result.ai_codex_reasoning_effort ?? (isCodexProvider ? codexReasoningEffort : ''),
         ai_configured: result.ai_configured ?? (isCodexProvider ? true : (apiKey ? true : prev.ai_configured)),
         ...(apiKey ? {
           has_ai_key: true,
@@ -115,7 +157,7 @@ export function SettingsAIPanel() {
       setBaseUrl('')
       setApiKey('')
       setModel('')
-      setCodexCustomModel(false)
+      setCodexReasoningEffort('')
       setCodexCommand(CODEX_COMMAND)
       setTestResult(null)
       qc.setQueryData<SettingsState>(QK.settings, prev => prev ? {
@@ -124,6 +166,7 @@ export function SettingsAIPanel() {
         ai_base_url: '',
         ai_model: '',
         ai_codex_command: CODEX_COMMAND,
+        ai_codex_reasoning_effort: '',
         has_ai_key: false,
         ai_configured: false,
         ai_api_key_masked: '',
@@ -149,13 +192,13 @@ export function SettingsAIPanel() {
       setProvider(OPENAI_PROVIDER)
       setBaseUrl('')
       setModel('')
-      setCodexCustomModel(false)
+      setCodexReasoningEffort('')
       return
     }
     setProvider(p.provider ?? OPENAI_PROVIDER)
     setBaseUrl(p.url)
     setModel(p.model)
-    setCodexCustomModel(false)
+    setCodexReasoningEffort(p.provider === CODEX_PROVIDER ? DEFAULT_CODEX_REASONING_EFFORT : '')
     if (p.codexCommand) setCodexCommand(CODEX_COMMAND)
   }
 
@@ -193,7 +236,7 @@ export function SettingsAIPanel() {
             <div className="text-xs text-muted mt-0.5 truncate">
               {configured
                 ? (savedCodexProvider
-                  ? `${s?.ai_codex_command ?? CODEX_COMMAND} · ${s?.ai_model || '默认模型'}`
+                  ? `${s?.ai_codex_command ?? CODEX_COMMAND} · ${codexModelLabel(s?.ai_model, s?.ai_codex_reasoning_effort)}`
                   : `${s?.ai_model} · ${s?.ai_api_key_masked}`)
                 : (isCodexProvider ? '使用本机 codex exec, 此处无需填写 API Key。' : '配置 API Key 后即可使用 AI 功能。')}
             </div>
@@ -256,39 +299,23 @@ export function SettingsAIPanel() {
                 </div>
               </Field>
               <Field
-                label="模型（可选）"
-                hint={codexCustomModel
-                  ? '留空则使用 Codex 默认模型'
-                  : CODEX_MODEL_OPTIONS.find(o => o.value === model)?.hint}
+                label="模型 / 推理档"
+                hint={selectedCodexModelOption.hint}
               >
                 <select
                   value={codexModelSelectValue}
                   onChange={e => {
                     const value = e.target.value
-                    if (value === CUSTOM_CODEX_MODEL) {
-                      setCodexCustomModel(true)
-                      if (CODEX_MODEL_OPTIONS.some(o => o.value === model)) setModel('')
-                    } else {
-                      setCodexCustomModel(false)
-                      setModel(value)
-                    }
+                    const option = codexModelOptions.find(item => item.value === value) ?? CODEX_MODEL_OPTIONS[0]
+                    setModel(option.model)
+                    setCodexReasoningEffort(option.effort)
                   }}
                   className={INPUT_CLS}
                 >
-                  {CODEX_MODEL_OPTIONS.map(option => (
-                    <option key={option.label} value={option.value}>{option.label}</option>
+                  {codexModelOptions.map(option => (
+                    <option key={option.value || 'codex-local-default'} value={option.value}>{option.label}</option>
                   ))}
-                  <option value={CUSTOM_CODEX_MODEL}>自定义模型</option>
                 </select>
-                {codexCustomModel && (
-                  <input
-                    type="text"
-                    value={model}
-                    onChange={e => setModel(e.target.value)}
-                    placeholder="例如 gpt-5.5"
-                    className={`${INPUT_CLS} mt-2`}
-                  />
-                )}
               </Field>
             </div>
           ) : (
@@ -298,7 +325,7 @@ export function SettingsAIPanel() {
                   <input type="text" value={baseUrl} onChange={e => setBaseUrl(e.target.value)} placeholder="https://api.zhaji.dev/v1" className={INPUT_CLS} />
                 </Field>
                 <Field label="模型">
-                  <input type="text" value={model} onChange={e => setModel(e.target.value)} placeholder="gpt-5.5" className={INPUT_CLS} />
+                  <input type="text" value={model} onChange={e => setModel(e.target.value)} placeholder="gpt-5.6-sol" className={INPUT_CLS} />
                 </Field>
               </div>
 

packaging/tickflow-logo.svg

@@ -0,0 +1,10 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32" width="512" height="512" fill="none" role="img" aria-label="TickFlow Stock Panel">
+  <!-- 左方括号 -->
+  <path d="M10 4 L4 4 L4 28 L10 28" stroke="#8B5CF6" stroke-width="2" stroke-linejoin="miter" stroke-linecap="butt"/>
+  <!-- 右方括号 -->
+  <path d="M22 4 L28 4 L28 28 L22 28" stroke="#8B5CF6" stroke-width="2" stroke-linejoin="miter" stroke-linecap="butt"/>
+  <!-- K 线 wick(上下影线,半透明) -->
+  <line x1="16" y1="7" x2="16" y2="25" stroke="#8B5CF6" stroke-width="1.5" stroke-linecap="round" stroke-opacity="0.6"/>
+  <!-- K 线 body — 偏上,上影短/下影长, bullish 站稳感 -->
+  <rect x="13" y="9" width="6" height="10" fill="#8B5CF6" rx="0.5"/>
+</svg>