Tibo 教你在 Codex 里改两行配置就能让 GPT-5.6 Sol 记住 100 万 token，嫌默认不够用可以试试。
Tibo 分享了在 Codex 中为 GPT-5.6 Sol 开启 1M token 上下文窗口的方法。只需在 ~/.codex/config.toml 中设置 model_context_window 为 1000000，并将自动压缩阈值设为 900000。也可以通过命令行参数为单次会话启用。OpenAI 表示默认设置已针对性能和成本调优，但此配置可满足更长上下文需求。
Tibo 分享了 Codex 开启 1M 上下文的方法。不过我不是很有动力去修改，感觉当前还挺流畅的，我相信他们已经针对这个上下文调优过，只要压缩得当，上下文短一些性能会更好也更便宜。 具体方法很简...
Tibo 分享了 Codex 开启 1M 上下文的方法。不过我不是很有动力去修改，感觉当前还挺流畅的，我相信他们已经针对这个上下文调优过，只要压缩得当，上下文短一些性能会更好也更便宜。 具体方法很简单，只要在 ~/.codex/config.toml 中设置： ``` model = "gpt-5.6-sol" model_context_window = 1000000 model_auto_compact_token_limit = 900000 ``` Tibo @thsottiaux Here is how to enable a 1M-token context window in Codex for GPT-5.6 Sol. Even though we have tuned the context limit in Codex to be set optimally when it comes to performance and cost, this is a common ask, so here it is documented. A larger context window lets Codex retain more code, tool output, and conversation history before summarizing older material. You need a model that supports it. And GPT-5.6 Sol, for example, has a documented 1,050,000-token window. Open ~/.codex/config.toml and add or update these settings at the top level, before any [section] headers: ``` model = "gpt-5.6-sol" model_context_window = 1000000 model_auto_compact_token_limit = 900000 ``` The first setting selects the model. The second tells Codex to use a one-million-token context budget. The third starts automatic history compaction around 900,000 tokens, leaving some headroom. Restart Codex client and start a new session after saving. To try the configuration for a single CLI session without changing your defaults: ``` codex -m gpt-5.6-sol \ -c model_context_window=1000000 \ -c model_auto_compact_token_limit=900000 ``` Have fun, but also know that we tuned the default carefully! 🔗 View Quoted Tweet 💬 3 🔄 2 ❤️ 12 👀 2868 📊 5 ⚡