enrolls

用我的直接搞起来，rust ，极低内存占用，除了未完善的 Trace Explorer 会导致固定内存涨到 1000 条 item 的用量外，基本上完全可以随便搭配工具 ： https://v2ex.com/t/1222071#reply3

codex 我的配置：
```
[model_providers.ingress-access-1]
name = "RelayForge-access-1"
base_url = "http://127.0.0.1:33300/v1"
wire_api = "responses"
experimental_bearer_token = "no-api-key"

[model_providers.ingress-access-2]
name = "RelayForge-access-2"
base_url = "http://127.0.0.1:33301/v1"
wire_api = "responses"
experimental_bearer_token = "no-api-key"
```

启动日志：
```
2026-10-04T15:22:01.988602Z INFO codex-shim listener bound via <经过超优的本地监听组件> listener=ingress-access-1 bind=127.0.0.1:33300 provider=Some("glm") model=Some("glm-5.3")
2026-10-04T15:22:01.989785Z INFO codex-shim listener bound via <经过超优的本地监听组件> listener=ingress-access-2 bind=127.0.0.1:33301 provider=Some("stepfun") model=Some("step-5-preview")
2026-10-04T15:22:01.996838Z INFO codex-shim HTTP listener started listener=ingress-access-1 bind=127.0.0.1:33300
2026-10-04T15:22:01.997390Z INFO codex-shim HTTP listener started listener=ingress-access-2 bind=127.0.0.1:33301
```

另外，OP 可以支持 WIN10 吗？不强求但希望在最小路径下能支持一下 lol

不错。我 review 了 Cargo.toml 和 github action 。

功能上应该可以考虑做几个视图：by 时间。
个性化：图片；音乐；疑似垃圾文件。
代码上，action 可以上 314, rust 可以上 1.100. 这是速度的极致考虑。

"02.确诊" 可以走 CHAT/WORK, 然后 step by step 地测试。确实在 gpt-5.6-luna/gpt-5.6-sol 之间出现了路由。

排序 候选模型 家族 归因概率 分布相似度
1 gpt-5.6-luna GPT
90.9%
77.2%
2 gpt-5.5 GPT
8.3%
76.5%
3 gpt-5.6-sol GPT
0.6%
75.9%
4 gpt-5.6-terra GPT
0.1%
75.3%
5 gpt-6-astra GPT
0.0%
74.9%

排序 候选模型 家族 归因概率 分布相似度
1 gpt-5.6-sol GPT
82.0%
88.8%
2 gpt-5.5 GPT
17.7%
87.7%
3 gpt-5.6-luna GPT
0.2%
85.6%
4 gpt-6-astra GPT
0.1%
86.9%
5 gpt-5.4 GPT
0.0%
87.2%

真实英文，开口工作讲的那种

Just FYI: even outsourcing roles with English interviews and English as the working language don’t have many openings right now, and there are still quite a lot of candidates.

安晴，焦下 buy 一甩干。好用不离手。

2 个自建 IPs ，都被 5.5mini 感觉是风控了。良心云 IP 。昨天开始变

I’m ChatGPT running on GPT-5.5-mini.

If you mean “what models does ChatGPT have available,” the lineup can vary by plan and availability, but commonly includes:

GPT-5.5-mini — fast, efficient general-purpose model (this chat)
GPT-5.5 — more capable model for harder reasoning and complex tasks
GPT-5.5-thinking (where available) — uses more deliberate reasoning for difficult problems
GPT-4.1 / GPT-4o — previous-generation general models used in some products
o-series reasoning models — specialized models for deeper problem solving

Your available models may differ depending on whether you’re on Free, Plus, Pro, Team, or Enterprise.

什么？找到了另类拿公粮的方式？