<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DeepSeek on Bruce on AI Engineering</title><link>https://www.heyuan110.com/tags/deepseek/</link><description>Recent content in DeepSeek on Bruce on AI Engineering</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 15 Sep 2026 20:00:00 +0800</lastBuildDate><atom:link href="https://www.heyuan110.com/tags/deepseek/index.xml" rel="self" type="application/rss+xml"/><item><title>Configuring Third-Party Models in OpenAI Codex: The Ultimate TOML &amp; CC Switch Guide</title><link>https://www.heyuan110.com/posts/ai/2026-09-15-configuring-third-party-models-in-codex/</link><pubDate>Tue, 15 Sep 2026 20:00:00 +0800</pubDate><guid>https://www.heyuan110.com/posts/ai/2026-09-15-configuring-third-party-models-in-codex/</guid><description>&lt;p&gt;&lt;img src="https://www.heyuan110.com/posts/ai/2026-09-15-configuring-third-party-models-in-codex/cover.webp"
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&lt;p&gt;Unlocking OpenAI Codex&amp;rsquo;s capabilities with third-party models is the single most effective way to optimize your agentic coding workflows. By default, Codex is configured to talk directly to OpenAI&amp;rsquo;s native API. However, for high-frequency development, the sheer volume of code ingested during multi-file edits, codebase analyses, and deep refactoring can rapidly drain your token budget. Swapping the backend to cost-effective alternatives like DeepSeek-V3 or highly specialized reasoning models like Claude 3.5 Sonnet / Fable 5 gives you the best of both worlds: Codex&amp;rsquo;s elite agent loop running on the most cost-efficient intelligence available.&lt;/p&gt;</description></item></channel></rss>