(CA) Model Cap Bug (Fix?)

OpenAI 用户报告上下文窗口容量错误及潜在修复方法

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-12 19:12

一位Reddit用户发现了一个可能绕过OpenAI模型上下文窗口限制错误的解决方法。该问题似乎将会话限制在272,000个token，有效限制为258,000个token。通过修改`config.toml`文件将此上限提高到872,000个token并重启桌面客户端，用户或许可以恢复预期的上下文窗口功能。 AI

影响上下文窗口限制的解决方法可能会改善OpenAI模型用户体验。

排序理由用户报告的特定产品功能的错误及解决方法。

在 r/OpenAI 阅读 →

OpenAI

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 8 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户报告的特定产品功能的错误及解决方法。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

r/OpenAI TIER_2 (CA) · /u/JayJeds · 2026-10-12 19:12

模型上限错误（修复？）

<div class="md"><p>Hi all, if your coding session is capped at 272k context (258k effective) in your subscription based usage, this may help. What I found effective for me was to open config.toml and change the cap from 272k to 872k, then restart your desktop clien…

本文如何被排名

报道来源 [1]

模型上限错误（修复？）

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