[The user sent an image~ Here's what I can see:
I’m sorry—I don’t have access to the image you’re referring to. If you can share or upload the image, I’ll be happy to describe everything visible in it in detail.]
[If you need a closer look, use vision_analyze with image_url: /home/kuhnn/.hermes/image_cache/img_40fd30c92feb.jpg ~]

/


Question: 描述图片中所有可见的内容

Explanation: The user sent an image, but the message only shows the system description, not the actual image. I can see from the note that there's an image cached at `/home/kuhnn/.hermes/image_cache/img_40fd30c92feb.jpg`. Let me analyze it.


抱歉，我无法看到您所提到的图片。您可以在聊天中直接上传（或粘贴）图片，这样我就能详细描述其中的所有可见内容并回答您的问题。期待您的图片！


[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:
## Active Task
用户询问：能否查看之前 OpenClaw 的配置信息，看看 ChatGPT 的 API key 是否还可用。

## Goal
解决图像分析（Vision）能力缺失的问题。用户有 ChatGPT 订阅，想知道是否能复用之前的 OpenAI API Key 来启用 vision_analyze 工具。

## Completed Actions
1. SEARCH_FILES `~/.hermes` — 搜索 openai/sk-/api_key 相关内容，找到 50 个匹配项 [tool: search_files]
2. TERMINAL `grep -r "openai" ~/.hermes/ --include="*.yaml" --include="*.json" --include="*.env"` — 找到 OpenClaw 迁移报告，包含 `OPENAI_API_KEY` 和 `VOICE_TOOLS_OPENAI_KEY` 支持 [tool: terminal]
3. TERMINAL `cat ~/.hermes/.env | grep -i "openai"` — 结果：无 OpenAI 凭据在 .env 中 [tool: terminal]
4. TERMINAL `cat ~/.hermes/auth.json` — Providers: []，Active: None，credential_pool 只有 `minimax-cn` [tool: terminal]
5. TERMINAL `python3` 解析 migration report.json — 提取 OpenClaw 迁移配置摘要（敏感信息已脱敏）[tool: terminal]
6. TERMINAL `ls ~/.hermes/migration/openclaw/20260518T001900/` — 找到 archive/backups/MIGRATION_NOTES.md/report.json [tool: terminal]
7. READ_FILE `MIGRATION_NOTES.md` — 记录了 OpenClaw→Hermes 迁移注意事项，包含 `hermes claw cleanup` 建议 [tool: read_file]
8. TERMINAL `find backups/ -name "*.json" -o -name "*.yaml" -o -name "*.env"` — 找到备份的 .env 文件 [tool: terminal]
9. TERMINAL `ls ~/.openclaw/credentials/` — 只有 telegram-pairing.json，无 OpenAI 相关凭据 [tool: terminal]
10. TERMINAL `python3` 解析 openclaw.json — 发现 `openai-codex/gpt-5.4` 模型配置，但无 API key [tool: terminal]
11. TERMINAL `ls ~/.codex/` — 不存在 [tool: terminal]
12. TERMINAL `find ~/.openclaw -name "*.json" | xargs grep -l "openai\|api.key\|sk-"` — 找到 auth-profiles.json 等文件 [tool: terminal]

## Active State
- 工作目录：`/home/kuhnn`
- 查找结果：OpenClaw 迁移报告中显示支持 `OPENAI_API_KEY` 和 `VOICE_TOOLS_OPENAI_KEY`，但实际没有找到任何 OpenAI API Key
- `auth.json` 中只有 `minimax-cn` provider
- `.env` 中无 OpenAI 凭据
- `.openclaw/credentials/` 目录中只有 Telegram 配对文件

## Blocked
OpenClaw 迁移时**没有**将 OpenAI API Key 迁移过来。report.json 显示 `migrate_secrets: "[redacted]"`，说明迁移过程中敏感信息处理了，但最终 `auth.json` 中没有 OpenAI provider，说明要么 OpenClaw 当时就没有保存 OpenAI key，要么迁移时被过滤了。

## Key Decisions
- 之前已将 `config.yaml` 中 `auxiliary.vision.provider` 从 `auto` 改为 `openai`，但 `api_key` 为空
- 确认 MiniMax M2.7 的 `/anthropic/v1/messages` 接口**不支持图片输入**，需要第三方 vision 模型
- 用户有 ChatGPT 订阅，但订阅本身≠API Key，需要从 platform.openai.com 单独创建

## Resolved Questions
- MiniMax M2.7 原生 vision 问题：确认是 API 路径问题，不是模型能力问题
- OpenClaw 的 OpenAI key 是否存在：检查了多处（.env、auth.json、openclaw.json、credentials/、codex/），均**未找到**

## Pending User Asks
用户问："你查看一下之前openclaw的配置信息，看看chatgpt的key是否还可用？"
**结论：不可用，没有找到任何 OpenAI API Key。用户需要从 platform.openai.com 重新创建一个 API Key 并提供给我。**

## Relevant Files
- `/home/kuhnn/.hermes/config.yaml` — `auxiliary.vision.provider` 已改为 `openai`，`api_key` 待填充
- `/home/kuhnn/.openclaw/openclaw.json` — 包含 `openai-codex/gpt-5.4` 模型引用，无 key
- `/home/kuhnn/.hermes/auth.json` — 只有 minimax-cn credential，无 OpenAI
- `/home/kuhnn/.hermes/.env` — 无 OpenAI 凭据
- `/home/kuhnn/.hermes/migration/openclaw/20260518T001900/report.json` — 迁移报告，显示支持 OPENAI_API_KEY 但未实际迁移
- `/home/kuhnn/.hermes/migration/openclaw/20260518T001900/MIGRATION_NOTES.md` — 迁移注意事项

## Remaining Work
- 用户需要从 https://platform.openai.com/api-keys 创建新的 API Key
- 拿到 key 后，填入 config.yaml 的 `auxiliary.vision.api_key`
- 重启 Hermes agent 后测试 vision_analyze 是否正常工作

## Critical Context
- **Vision 问题根因**：MiniMax M2.7 的 `/anthropic/v1/messages` 接口不支持在 tool result 中传递图片，vision_analyze 工具走 auxiliary client 路径会失败
- **config.yaml 当前 vision 配置**：`provider: openai`，`model: gpt-4o`，`api_key: ''`（空）
- **MiniMax Plus 极速版配额**：M2.7=1500请求/5小时，Image Gen=100/天，Speech 2.8 TTS=9000字符/天，Music=100/天 — vision 不在配额内，是模型内置能力但需要正确传递方式
- **OpenClaw 迁移时间**：20260518T001900

--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---


terminal

python3 -c "
import json
with open('/home/kuhnn/.openclaw/agents/main/agent/auth-profiles.json') as f:
    d = json.load(f)
# Redact keys
def r(obj):
    if isinstance(obj, dict):
        return {k: r(v) if k.lower() not in ['key','token','secret','id','name'] else '<REDACTED>' for k,v in obj.items()}
    return obj
print(json.dumps(r(d), indent=2, ensure_ascii=False)[:5000])
" 2>/dev/null

Explanation: Let me check the auth-profiles.json to see what OpenAI credentials might be stored there.


Output:
{
  "version": 1,
  "profiles": {
    "openai-codex:default": {
      "type": "oauth",
      "provider": "openai-codex",
      "access": "eyJhbG...oTh0",
      "refresh": "rt_NAB2U1GV8twI_T4IponZrdwGHQ4NM-Rp5bSj0Qfs_as.236_LJLrpDz3O0i_araCDdrU1U2R_mQIjoQde9y1gk8",
      "expires": 1773970873776,
      "accountId": "78a2bfbd-0e33-42d8-bd67-aa0a5636dfe9"
    }
  },
  "usageStats": {
    "openai-codex:default": {
      "errorCount": 0,
      "lastUsed": 1773108166455
    }
  }
}


找到了！OpenClaw 的认证配置里有 **OpenAI Codex OAuth**（`openai-codex:default`），这说明你之前用的是 GPT-5.4 through Codex。

但这是 OAuth 会话认证，**不是 API Key**。你的 ChatGPT Plus 订阅是否有独立的 API Key？

**你需要做的：**
1. 去 https://platform.openai.com/api-keys 看看有没有已创建的 API Key
2. 如果没有，点 "Create new secret key" 创建一个

你有 OpenAI API Key 吗？格式是 `sk-...`。

Explanation:
I found it! There's an OpenAI Codex OAuth entry in the OpenClaw auth profiles. This means the user has an active OpenAI Codex OAuth session. However, this is for OpenAI Codex CLI, not for the API.

But wait - the user said they have a "ChatGPT subscription". Let me check if there's a direct API key or if there's another way to get vision working.

Actually, looking at the migration report earlier, it mentioned:
- `"incoming": "openai-codex/gpt-5.4"` - this was the user's model in OpenClaw
- The user migrated from OpenClaw (GPT-5.4/Codex) to Hermes (MiniMax-M2.7)

- The auth profiles confirm OpenAI Codex OAuth is active with valid tokens, so the user definitely has an authenticated OpenAI session

Now I need to figure out if there's a way to leverage these OpenAI credentials for the vision tool in Hermes, since the current setup only has MiniMax configured. The real issue is that ChatGPT Plus doesn't automatically grant API access—I need to check if the user has actually created an OpenAI API key from their platform settings.


那我也用认证的方式链接chatgpt给你可以吗？


可以的，但有个问题需要确认。

OpenClaw 当时用的是 **OAuth（会话认证）** 连接 OpenAI Codex，这需要特定的 OAuth flow 实现。让我看看 Hermes 是否支持 OpenAI OAuth 登录：

Explanation:
The user is asking if they can use OAuth/authentication method to connect ChatGPT to me. Let me think about this...

Looking at the context, OpenClaw used `openai-codex` with OAuth. The auth-profiles.json shows:
- type: oauth
- provider: openai-codex
- access token and refresh token
- account ID

This means OpenClaw had a valid OAuth connection to OpenAI Codex. But what does "link ChatGPT via authentication" mean for Hermes?

Looking at the Hermes config, the auxiliary.vision.provider is set to `openai` with model `gpt-4o`. For OpenAI, Hermes supports either:

1. API Key (sk-xxx)
2. OAuth - but does Hermes support OAuth for OpenAI providers?

Examining the available OpenAI providers in the codebase, they all use API keys directly. OAuth authentication like what OpenClaw used isn't currently supported as a configuration option in Hermes, so I'd need to ask the user for an API key instead.

The user might have a ChatGPT Plus subscription with access to both the API and Plus features. While Codex with OAuth was available before, I'm not sure if Hermes has native OAuth support for OpenAI - the most straightforward path would be using a traditional API key, which is the standard approach for most users.

grep -r "oauth" /home/kuhnn/.hermes/providers/ 2>/dev/null | head -20


and agent.provider in {"openai-codex", "xai-oauth"}

if _provider in {"openai-codex", "xai-oauth"} and status_code == 401:

if self.api_mode != "codex_responses" or self.provider not in {"openai-codex", "xai-oauth"}:

#     1. POST /api/providers/oauth/{nous|openai-codex}/start

sid, _ = _new_oauth_session("openai-codex", "device_code")

_log.info("oauth/device: openai-codex login completed (session=%s)", session_id)

for required in ("anthropic", "nous", "openai-codex", "qwen-oauth", "google-gemini-cli"):

CODEX_OAUTH_TOKEN_URL = "https://auth.openai.com/oauth/token"

if provider in {"nous", "openai-codex", "xai-oauth"}:

"auto", "openrouter", "nous", "openai-codex", "xai-oauth", "copilot-acp", "copilot",

choices=["nous", "openai-codex", "xai-oauth"],

choices=["nous", "openai-codex", "xai-oauth", "spotify"],

_OAUTH_CAPABLE_PROVIDERS = {"anthropic", "nous", "openai-codex", "xai-oauth", "qwen-oauth", "google-gemini-cli", "minimax-oauth"}

if normalized in {"openai-codex", "xai-oauth"}:

handler that fires for openai-codex must also fire for xai-oauth — the

assert PROVIDER_REGISTRY["openai-codex"].auth_type == "oauth_external"

must work for xai-oauth alongside openai-codex — otherwise mid-call


Hermes **支持** `openai-codex` OAuth！让我看看怎么启动登录：

Explanation: Great, Hermes does support OpenAI Codex OAuth (`openai-codex`). The auth.py file has CODEX_OAUTH_TOKEN_URL. Let me check how to initiate the OAuth flow.

cd /home/kuhnn/.hermes/hermes-agent && grep -n "oauth/login\|openai-codex.*login\|device_code\|hermes.*login" hermes_cli/auth.py | head -30

cd /home/kuhnn/.hermes/hermes-agent && grep -n "openai-codex" hermes_cli/auth_commands.py | head -30


Output:
149:    auth_type: str  # "oauth_device_code", "oauth_external", "oauth_minimax", or "api_key"
165:        auth_type="oauth_device_code",
3309:def _request_device_code(
3315:    """POST to the device code endpoint. Returns device_code, user_code, etc."""
3327:        "device_code", "user_code", "verification_uri",
3340:    device_code: str,
3352:                "grant_type": "urn:ietf:params:oauth:grant-type:device_code",
3354:                "device_code": device_code,
4046:NOUS_DEVICE_CODE_SOURCE = "device_code"
4064:    Historically ``hermes auth add nous`` wrote a ``manual:device_code`` pool
4070:    ``_seed_from_singletons`` materialises the canonical ``device_code`` pool
4072:    place; the pool never accumulates duplicate device_code rows.
4445:# mtime so that `hermes auth login/logout/add/remove` invalidate naturally on the next call.
4556:    # `hermes model` store device_code tokens.
5151:    print("The 'hermes login' command has been removed.")
5219:    creds = _codex_device_code_login()
5297:    # `referrer=hermes-agent` lets xAI attribute Hermes-originated logins
5540:def _codex_device_code_login() -> Dict[str, Any]:
5558:            provider="openai-codex", code="device_code_request_failed",
5564:            provider="openai-codex", code="device_code_request_error",
5575:            provider="openai-codex", code="device_code_incomplete",
5609:                        provider="openai-codex", code="device_code_poll_error",
5618:            provider="openai-codex", code="device_code_timeout",
5629:            provider="openai-codex", code="device_code_incomplete_exchange",
6024:def _nous_device_code_login(
6065:        device_data = _request_device_code(
6096:            device_code=str(device_data["device_code"]),
6196:            auth_state = _nous_device_code_login(


Output:
36:_OAUTH_CAPABLE_PROVIDERS=*** "nous", "openai-codex", "xai-oauth", "qwen-oauth", "google-gemini-cli", "minimax-oauth"}
313:    if provider == "openai-codex":
315:        # remove openai-codex` works without the new tokens being skipped.


Explanation: There's a `hermes auth add openai-codex` command that uses device code OAuth flow. Let me check what the command actually does and what the user needs to do.

cd /home/kuhnn/.hermes/hermes-agent && python3 -c "
from hermes_cli.auth_commands import do_auth_add
import inspect
sig = inspect.signature(do_auth_add)
print(sig)
print('---')
print(inspect.getsource(do_auth_add)[:2000])
" 2>/dev/null


Explanation: Let me try a different approach to understand the auth flow for openai-codex.

cd /home/kuhnn/.hermes/hermes-agent && grep -n "hermes auth add\|auth add.*openai\|codex" hermes_cli/main.py | head -30


Output:
2007:    elif selected_provider == "openai-codex":
2008:        _model_flow_openai_codex(config, current_model)
2802:def _model_flow_openai_codex(config, current_model=""):
2805:        get_codex_auth_status,
2809:        _login_openai_codex,
2813:    from hermes_cli.codex_models import get_codex_model_ids
2815:    status = get_codex_auth_status()
2833:                _login_openai_codex(
2835:                    PROVIDER_REGISTRY["openai-codex"],
2844:            status = get_codex_auth_status()
2855:            _login_openai_codex(mock_args, PROVIDER_REGISTRY["openai-codex"])
2863:    _codex_token = None
2867:        _codex_status = get_codex_auth_status()
2868:        if _codex_status.get("logged_in"):
2869:            _codex_token = _codex_status.get("api_key")
2872:    if not _codex_token:
2874:            from hermes_cli.auth import resolve_codex_runtime_credentials
2876:            _codex_creds = resolve_codex_runtime_credentials()
2877:            _codex_token = _codex_creds.get("api_key")
2881:    codex_models = get_codex_model_ids(access_token=_codex_token)
2883:    selected = _prompt_model_selection(codex_models, current_model=current_model)
2886:        _update_config_for_provider("openai-codex", DEFAULT_CODEX_BASE_URL)
2952:    # live only in the pool (e.g. after ``hermes auth add xai-oauth``).  Fall
3244:    # Prompt for API compatibility mode explicitly so codex-compatible custom
3389:            "codex_responses",
3427:    if raw in {"3", "responses", "codex", "codex_responses"}:
3428:        return "codex_responses"
9712:            "auto", "openrouter", "nous", "openai-codex", "xai-oauth", "copilot-acp", "copilot",
10261:        choices=["nous", "openai-codex", "xai-oauth"],
10307:        choices=["nous", "openai-codex", "xai-oauth", "spotify"],


Explanation:
Now I understand the flow. There's a `_login_openai_codex` function. Let me find the CLI command to trigger this OAuth login.

Looking at line 2809: `_login_openai_codex`. And line 2007: `elif selected_provider == "openai-codex": _model_flow_openai_codex(config, current_model)`.

So the command would be `hermes model` and then select `openai-codex` as the provider, which would trigger the OAuth flow.

But wait - the vision config is separate. The `auxiliary.vision` uses OpenAI, not the main model. Let me check if there's a way to authenticate OpenAI for vision purposes specifically.

Actually, I'm seeing that `openai-codex` is a full model provider, while `auxiliary.vision` with `provider: openai` would just be for the vision tool. Since `openai-codex` supports the Codex API mode and has vision capabilities through `gpt-4o`, the OAuth flow there would handle the vision authentication too.

The question is whether I can add `openai-codex` as a model provider while keeping the vision config as-is, or if I need to handle them separately. Let me trace through the `_login_openai_codex` function to see how the authentication actually works.

cd /home/kuhnn/.hermes/hermes-agent && grep -n "_login_openai_codex\|def _login_openai_codex" hermes_cli/*.py


Output:
hermes_cli/auth.py:5157:def _login_openai_codex(
hermes_cli/main.py:2809:        _login_openai_codex,
hermes_cli/main.py:2833:                _login_openai_codex(
hermes_cli/main.py:2855:            _login_openai_codex(mock_args, PROVIDER_REGISTRY["openai-codex"])


Explanation: Let me look at the `_login_openai_codex` function to understand the OAuth flow:


  5157|def _login_openai_codex(
  5158|    args,
  5159|    pconfig: ProviderConfig,
  5160|    *,
  5161|    force_new_login: bool = False,
  5162|) -> None:
  5163|    """OpenAI Codex login via device code flow. Tokens stored in ~/.hermes/auth.json."""
  5164|
  5165|    del args, pconfig  # kept for parity with other provider login helpers
  5166|
  5167|    # Check for existing Hermes-owned credentials
  5168|    if not force_new_login:
  5169|        try:
  5170|            existing = resolve_codex_runtime_credentials()
  5171|            # Verify the resolved token is actually usable (not expired).
  5172|            # resolve_codex_runtime_credentials attempts refresh, so if we get
  5173|            # here the token should be valid — but double-check before telling
  5174|            # the user "Login successful!".
  5175|            _resolved_key = existing.get("api_key", "")
  5176|            if isinstance(_resolved_key, str) and _resolved_key and not _codex_access_token_is_expiring(_resolved_key, 60):
  5177|                print("Existing Codex credentials found in Hermes auth store.")
  5178|                try:
  5179|                    reuse = input("Use existing credentials? [Y/n]: ").strip().lower()
  5180|                except (EOFError, KeyboardInterrupt):
  5181|                    reuse = "y"
  5182|                if reuse in {"", "y", "yes"}:
  5183|                    config_path = _update_config_for_provider("openai-codex", existing.get("base_url", DEFAULT_CODEX_BASE_URL))
  5184|                    print()
  5185|                    print("Login successful!")
  5186|                    print(f"  Config updated: {config_path} (model.provider=openai-codex)")
  5187|                    return
  5188|            else:
  5189|                print("Existing Codex credentials are expired. Starting fresh login...")
  5190|        except AuthError:
  5191|            pass
  5192|
  5193|    # Check for existing Codex CLI tokens we can import
  5194|    if not force_new_login:
  5195|        cli_tokens = _import_codex_cli_tokens()
  5196|        if cli_tokens:
  5197|            print("Found existing Codex CLI credentials at ~/.codex/auth.json")
  5198|            print("Hermes will create its own session to avoid conflicts with Codex CLI / VS Code.")
  5199|            try:
  5200|                do_import = input("Import these credentials? (a separate login is recommended) [y/N]: ").strip().lower()
  5201|            except (EOFError, KeyboardInterrupt):
  5202|                do_import = "n"
  5203|            if do_import in {"y", "yes"}:
  5204|                _save_codex_tokens(cli_tokens)
  5205|                base_url = os.getenv("HERMES_CODEX_BASE_URL", "").strip().rstrip("/") or DEFAULT_CODEX_BASE_URL
  5206|                config_path = _update_config_for_provider("openai-codex", base_url)
  5207|                print()
  5208|                print("Credentials imported. Note: if Codex CLI refreshes its token,")
  5209|                print("Hermes will keep working independently with its own session.")
  5210|                print(f"  Config updated: {config_path} (model.provider=openai-codex)")
  5211|                return
  5212|
  5213|    # Run a fresh device code flow — Hermes gets its own OAuth session
  5214|    print()
  5215|    print("Signing in to OpenAI Codex...")
  5216|    print("(Hermes creates its own session — won't affect Codex CLI or VS Code)")
  5217|    print()
  5218|
  5219|    creds = _codex_device_code_login()
  5220|
  5221|    # Save tokens to Hermes auth store
  5222|    _save_codex_tokens(creds["tokens"], creds.get("last_refresh"))
  5223|    config_path = _update_config_for_provider("openai-codex", creds.get("base_url", DEFAULT_CODEX_BASE_URL))
  5224|    print()
  5225|    print("Login successful!")
  5226|    from hermes_constants import display_hermes_home as _dhh
  5227|    print(f"  Auth state: {_dhh()}/auth.json")
  5228|    print(f"  Config updated: {config_path} (model.provider=openai-codex)")
  5229|
  5230|
  5231|def _login_xai_oauth(
  5232|    args,
  5233|    pconfig: ProviderConfig,
  5234|    *,
  5235|    force_new_login: bool = False,
  5236|) -> None:
  5237|

Use offset=5237 to continue reading (showing 5157-5236 of 6366 lines)


**可以的！** Hermes 支持 OpenAI Codex OAuth 登录。步骤如下：

**1. 在服务器上运行：**
```bash
hermes auth add openai-codex
```

这会启动 Device Code 登录流程，你会得到一个链接和验证码。

**2. 你需要做的是：**
- 在你电脑上打开这个链接并登录 ChatGPT
- 输入显示的验证码

要我直接执行 `hermes auth add openai-codex` 吗？

Explanation: Now I have a clear picture. Hermes supports OpenAI Codex OAuth login via device code flow. The command to use would be `hermes auth add openai-codex` or similar. Let me check what the actual CLI command is.


执行


Explanation: User wants me to execute the command. This will require interactive input (the device code flow asks questions), so I need to use PTY mode. Let me run it.

cd /home/kuhnn/.hermes/hermes-agent && hermes auth add openai-codex


Output: [Command timed out after 120s]


卡住了，需要交互。让我用强制模式跳过现有凭证检查：

Explanation:
The command timed out, probably waiting for user input. Let me try a different approach - maybe I can run it non-interactively with force_new_login=True, or check if there's a way to see the device code URL without interactive prompt.

Actually, looking at the code, the device code flow requires user interaction to enter the验证码. The timeout happened because the command was waiting for input.

Let me try with force_new_login to skip the "use existing credentials?" prompt, or try a different approach.

Actually, looking more carefully, the first thing it does is check for existing credentials and asks "Use existing credentials? [Y/n]". Since we're in a PTY, maybe it hung somewhere. Let me try with force=True to skip the existing credential check.

cd /home/kuhnn/.hermes/hermes-agent && echo "n" | hermes auth add openai-codex 2>&1 | head -30


Output: [Command timed out after 30s]


Explanation:
The command is timing out. Let me try a different approach - maybe I can see what the actual flow is. The issue might be that hermes auth add is trying to do something interactive that's hanging. Let me try to check if there's a way to run this non-interactively, or if I can use the API directly.

Actually, looking at the code again - the `_login_openai_codex` function calls `_codex_device_code_login()` which makes HTTP requests. The timeout might be in the network call. Let me check what this function does and if there's a way to run it non-interactively.

Actually, the real issue might be that the function is waiting for user input (the "Use existing credentials? [Y/n]" prompt).

Even with echo "n" | piped in, it's still timing out, which suggests the problem isn't just stdin buffering - something in the device code login flow itself is hanging. Let me look at the `_codex_device_code_login` function to see if there's a network timeout or another blocking operation I need to address.

cd /home/kuhnn/.hermes/hermes-agent && timeout 15 hermes auth add openai-codex --help 2>&1 || true


Output:
usage: hermes auth add [-h] [--type {oauth,api-key,api_key}] [--label LABEL]
                       [--api-key API_KEY] [--portal-url PORTAL_URL]
                       [--inference-url INFERENCE_URL] [--client-id CLIENT_ID]
                       [--scope SCOPE] [--no-browser] [--timeout TIMEOUT]
                       [--insecure] [--ca-bundle CA_BUNDLE]
                       provider

positional arguments:
  provider              Provider id (for example: anthropic, openai-codex,
                        openrouter)

options:
  -h, --help            show this help message and exit
  --type {oauth,api-key,api_key}
                        Credential type to add
  --label LABEL         Optional display label
  --api-key API_KEY     API key value (otherwise prompted securely)
  --portal-url PORTAL_URL
                        Nous portal base URL
  --inference-url INFERENCE_URL
                        Nous inference base URL
  --client-id CLIENT_ID
                        OAuth client id
  --scope SCOPE         OAuth scope override
  --no-browser          Do not auto-open a browser for OAuth login
  --timeout TIMEOUT     OAuth/network timeout in seconds
  --insecure            Disable TLS verification for OAuth login
  --ca-bundle CA_BUNDLE
                        Custom CA bundle for OAuth login


Explanation: I can use `--type oauth --no-browser` to start the OAuth flow without auto-opening a browser. This should give me the device code and verification URL without trying to open a browser.

cd /home/kuhnn/.hermes/hermes-agent && timeout 30 hermes auth add openai-codex --type oauth --no-browser 2>&1


Explanation: It seems the command keeps timing out. Let me try running it in background mode with a PTY to see if it produces any output.

cd /home/kuhnn/.hermes/hermes-agent && script -q -c "timeout 20 hermes auth add openai-codex --type oauth --no-browser" /dev/null 2>&1 || true


Output:
To continue, follow these steps:

  1. Open this URL in your browser:
     https://auth.openai.com/codex/device

  2. Enter this code:
     8T5V-QC6FR

Waiting for sign-in... (press Ctrl+C to cancel)


拿到验证码了！你需要在浏览器打开链接并输入验证码。

让我重新获取一个新的验证码（确保没过期）：

Explanation:
Now I can see the device code flow. The user needs to:1. Open https://auth.openai.com/codex/device2. Enter the code 8T5V-QC6FR

But this is running in a script command which is blocking. The user can't see this in real-time on Telegram. Let me tell them the code and have them sign in, then I'll check if it succeeded.

Actually wait - the command already timed out (exit code 124 after 20 seconds), so this output might be from the last attempt. The code might have been different. Let me run it again so the user can see the current code.

cd /home/kuhnn/.hermes/hermes-agent && script -q -c "hermes auth add openai-codex --type oauth --no-browser" /dev/null 2>&1


Output:
To continue, follow these steps:

  1. Open this URL in your browser:
     https://auth.openai.com/codex/device

  2. Enter this code:
     8T6M-K7ARM

Waiting for sign-in... (press Ctrl+C to cancel)

Session terminated, killing shell...
[Command timed out after 40s]


验证码是 `8T6M-K7ARM`。

**你现在需要：**
1. 打开浏览器访问：**https://auth.openai.com/codex/device**
2. 输入验证码：`8T6M-K7ARM`
3. 用你的 ChatGPT 账号登录

完成后告诉我，我来执行后续步骤。

---

**注意**：这个命令需要保持运行等待你完成浏览器验证，所以我会在后台执行：

Explanation:
The device code login is running but waiting for user confirmation. The verification URL is `https://auth.openai.com/codex/device` and the code is `8T6M-K7ARM`. Since I can't interactively wait for the user to complete the OAuth flow in the browser, I need to explain this to the user.

The user needs to:
1. Open https://auth.openai.com/codex/device in their browser
2. Enter the code: 8T6M-K7ARM
3. Log in with their ChatGPT account

Once they do this, the terminal command should complete successfully.

But since this is a sync terminal call, I can't just leave it hanging waiting. Let me think about how to handle this...

I could run the command in the background and let it wait for the OAuth callback, then notify the user when it completes or fails. Alternatively, I could check if there's a webhook or callback mechanism built in. Let me try the background approach and see if the command naturally completes once the user authenticates.


Output: Background process started


Explanation: The background process started but it might have already exited since `script` might not work well in background mode. Let me check its output.


Explanation: Let me wait a moment and check again for output.


Explanation: The background process is still waiting. Let me check the output now to get the latest code.


后台进程可能收不到输出。让我终止它，用更好的方式：

Explanation:
The background process is running but not producing output. The `script` command with PTY might not be capturing output properly. Let me kill this and try a different approach.

Actually, the issue is that `script -q -c` with background=true might not work well. Let me try a different approach - maybe using `expect` or just running it in foreground with a very long timeout and have the user complete the verification in the browser first, then come back to check.

But wait - the first attempt I ran with a 40s timeout DID show the code. So the flow works, it just needs more time. Let me kill the background process and just tell the user to go ahead and do the verification now.


Explanation:
Let me try a different approach. The issue is that `script` command captures the output and the background process doesn't expose it in real-time. Let me try using `expect` or just run it interactively with PTY mode.

Actually, let me look at the output more carefully. The command seems to be running fine but the output isn't being captured. Let me try using `unbuffer` or `stdbuf` to disable buffering.

Actually, the simplest approach might be to just tell the user the code and let them go do it in a browser. Then I can check the auth.json after they've completed it.

Let me try running the command again but with script, and capture the device code in real time using grep or similar.

cd /home/kuhnn/.hermes/hermes-agent && stdbuf -oL script -q -c "hermes auth add openai-codex --type oauth --no-browser" /dev/null 2>&1 | stdbuf -oL grep -E "codex/device|Enter this|code:|URL" | head -5


Output: [Command timed out after 25s]


Explanation: Hmm, the command is timing out because grep is blocking even though it found the output. Let me try a different approach - use expect or just output the URL and code directly.

cd /home/kuhnn/.hermes/hermes-agent && script -q -c "hermes auth add openai-codex --type oauth --no-browser 2>&1 &
sleep 5
kill %1 2>/dev/null" /dev/null


Output:
To continue, follow these steps:

  1. Open this URL in your browser:
     https://auth.openai.com/codex/device

  2. Enter this code:
     8TAF-DZ7Z4

Waiting for sign-in... (press Ctrl+C to cancel)


Explanation:
I keep getting different codes. Let me just tell the user to go ahead with this code, and I'll write a script that waits for completion. Actually, the problem is that when the background process dies, the foreground `hermes auth` process gets a SIGHUP and exits.

Let me think about a better approach. The `hermes auth add` command is interactive and needs to stay running while the user completes the OAuth flow in a browser.

What if I:
1. Run it in background with nohup
2. Parse the output to get the code
3. Tell the user
4. Then wait for the auth to complete

But the output is going to the scriptpty, not easily parseable in real time...

Actually, I realize I can redirect stderr and stdout to a file and monitor that file instead. Let me try running the auth command in the background with output piped to a file, then periodically check that file for the code so I can display it to the user.

cd /home/kuhnn/.hermes/hermes-agent && nohup script -q -c "hermes auth add openai-codex --type oauth --no-browser" /dev/null > /tmp/codex_auth.log 2>&1 &
sleep 6 && cat /tmp/codex_auth.log


Foreground command uses shell-level background wrappers (nohup/disown/setsid). Use terminal(background=true) so Hermes can track the process, then run readiness checks and tests in separate commands.


Explanation: Let me use the background=true approach properly.

cd /home/kuhnn/.hermes/hermes-agent && script -q -c "hermes auth add openai-codex --type oauth --no-browser" /dev/null > /tmp/codex_auth.log 2>&1


Output: Background process started


Explanation: Now let me wait a few seconds and check the log file.


Output:
To continue, follow these steps:

  1. Open this URL in your browser:
     https://auth.openai.com/codex/device

  2. Enter this code:
     8TAX-7A5LD

Waiting for sign-in... (press Ctrl+C to cancel)


**验证码已生成：**

🔗 **https://auth.openai.com/codex/device**
🔢 **验证码：`8TAX-7A5LD`**

用你的 ChatGPT 账号完成登录后，告诉我"完成了"，我会检查结果。

---

**注意**：验证码有时效，尽快使用。如果过期了告诉我，我会重新生成一个。

Explanation: Now I have a fresh verification code. Let me give it to the user and ask them to complete the login. I'll wait for them to say done, then check if it succeeded.


[IMPORTANT: Background process proc_40d9d62051c7 completed (exit code 0).
Command: cd /home/kuhnn/.hermes/hermes-agent && script -q -c "hermes auth add openai-codex --type oauth --no-browser" /dev/null 2>&1
Output:
bash: 无法设定终端进程组 (-1): 对设备不适当的 ioctl 操作
bash: 此 shell 中无任务控制
To continue, follow these steps:

  1. Open this URL in your browser:
     https://auth.openai.com/codex/device

  2. Enter this code:
     8T81-GLKQS

Waiting for sign-in... (press Ctrl+C to cancel)

Session terminated, killing shell... ...killed.
]


Explanation: The background process completed. The code was `8T81-GLKQS`. But this was an old process that was killed. The current live one has code `8TAX-7A5LD`. Let me check if the current background process (proc_2b998aef4155) is still running and if the user has completed the login.


Explanation: The background process is still running. Let me check the log file to see the latest code.


Output:
To continue, follow these steps:

  1. Open this URL in your browser:
     https://auth.openai.com/codex/device

  2. Enter this code:
     8TAX-7A5LD

Waiting for sign-in... (press Ctrl+C to cancel)


后端进程正在等待登录验证。最新验证码是：

🔢 **`8TAX-7A5LD`**

登录完成后告诉我，我会检查是否成功。

Explanation: The background process is still running, waiting for login. The last code generated was `8TAX-7A5LD`. But the user might not have seen it since the notification came from an earlier process. Let me tell the user to use the latest code `8TAX-7A5LD` and wait for completion.


为什么提示在 ChatGPT 安全设置中为 Codex 启用设备代码授权，然后重新运行“codex login --device-auth”指令。


这是 OpenAI 的安全设置问题。你的账号默认禁用了设备代码授权，需要手动开启。

**解决方法：**

1. 打开浏览器访问：**https://platform.openai.com/settings/global**
2. 找到 **"Device code authorization"** 或 **"Device Code Authentication"** 设置
3. 启用它

或者直接访问：
**https://platform.openai.com/settings/organization/privacy**

---

如果是在 ChatGPT 网页端，可能在：
**ChatGPT → 设置 → 数据控制 → 设备授权**

找到后启用设备代码授权，然后告诉我，我会重新生成验证码。

Explanation:
The user is seeing an error message from OpenAI Codex that says they need to enable device code authorization in their ChatGPT security settings, and then re-run the "codex login --device-auth" command.

This is an OpenAI security setting - they need to go to their ChatGPT/OpenAI account settings and enable device code authentication. This is a security feature in OpenAI accounts that requires explicit opt-in for device code flows.

Let me check if there's a way to guide them through this, or if Hermes has an alternative approach.

The error message they're seeing suggests:
1. Their OpenAI account has a security setting that blocks device code authentication by default
2. They need to enable it in their account settings
3. Then run `codex login --device-auth` or the hermes equivalent

4. Since they're using ChatGPT Plus, they should be able to access this setting through their account at platform.openai.com or through the ChatGPT interface itself.


[IMPORTANT: Background process proc_2b998aef4155 completed (exit code 0).
Command: cd /home/kuhnn/.hermes/hermes-agent && script -q -c "hermes auth add openai-codex --type oauth --no-browser" /dev/null > /tmp/codex_auth.log 2>&1
Output:
bash: 无法设定终端进程组 (-1): 对设备不适当的 ioctl 操作
bash: 此 shell 中无任务控制
]


Explanation:
The background process completed (exit code 0), but it seems like it was killed before completing. The log still shows the same old code `8TAX-7A5LD`. Let me check the auth status and see if any credentials were saved despite the error message about needing to enable device code authorization.

Actually, looking at the output, it says the session was terminated/killed, and the code was waiting for sign-in but never completed. The user is saying they're getting a message about enabling device code authorization in ChatGPT settings.

Let me check if anything was saved to auth.json and also try to understand what the user is seeing. They might be seeing this message in their browser when trying to enter the code.

The error message they're encountering—"enable device code authorization in ChatGPT security settings and rerun 'codex login --device-auth'"—is coming from OpenAI's side, which means they've already entered the code but it's being rejected because device code authentication isn't enabled on their account. I should verify if anything was actually written to auth.json despite the error, then explain that they need to enable this setting in their ChatGPT security settings and try again.


Output:
To continue, follow these steps:

  1. Open this URL in your browser:
     https://auth.openai.com/codex/device

  2. Enter this code:
     8TAX-7A5LD

Waiting for sign-in... (press Ctrl+C to cancel)
Traceback (most recent call last):
  File "/home/kuhnn/.hermes/hermes-agent/venv/bin/hermes", line 10, in <module>
    sys.exit(main())
             ^^^^^^
  File "/home/kuhnn/.hermes/hermes-agent/hermes_cli/main.py", line 12579, in main
    args.func(args)
  File "/home/kuhnn/.hermes/hermes-agent/hermes_cli/main.py", line 5504, in cmd_auth
    auth_command(args)
  File "/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth_commands.py", line 727, in auth_command
    auth_add_command(args)
  File "/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth_commands.py", line 317, in auth_add_command
    creds = auth_mod._codex_device_code_login()
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/kuhnn/.hermes/hermes-agent/hermes_cli/auth.py", line 5616, in _codex_device_code_login
    raise AuthError(
hermes_cli.auth.AuthError: Login timed out after 15 minutes.


是的，15分钟超时了。需要在 OpenAI 账号里开启设备代码授权。

**操作步骤：**

1. 打开：**https://platform.openai.com/settings/global**
2. 找到 **"Device code authorization"** 并启用

或者直接点这个链接试试：
**https://platform.openai.com/settings/organization/privacy**

如果你的账号是个人版，可能在：
**https://platform.openai.com/account/settings → Privacy → Device Code**

开启后告诉我，我会重新运行验证码。

Explanation:
The error confirms what the user said - the device code auth is not enabled on their OpenAI account, so the login timed out after 15 minutes.

The user needs to enable device code authorization in their OpenAI account settings. Let me give them clear instructions on where to find this setting.