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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM-Rosetta: A Hub-and-Spoke Intermediate Representation for Cross-Provider LLM API Translation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2604.09360/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2604.09360/feed.xml" rel="self" type="application/rss+xml" /><item><title>LLM-Rosetta: A Hub-and-Spoke Intermediate Representation for Cross-Provider LLM API Translation — HN submission</title><link>https://news.ycombinator.com/item?id=47831189</link><guid isPermaLink="false">urn:hackerpapers:submission:2604.09360:47831189</guid><pubDate>Mon, 20 Apr 2026 07:05:33 GMT</pubDate><description>&lt;p&gt;Show HN: LLM-Rosetta - Translate LLM API Calls Across OpenAI, Anthropic, Gemini&lt;/p&gt;&lt;p&gt;I built this after getting tired of maintaining one-off adapters between OpenAI, Anthropic, and Gemini APIs in the same project. The idea is to translate through a shared intermediate representation instead of writing every provider pair separately. So instead of OpenAI-&amp;gt;Anthropic, OpenAI-&amp;gt;Gemini, Anthropic-&amp;gt;Gemini, etc., each provider just maps to/from the IR. This is not a unified client like LiteLLM. It&amp;#x27;s a translator/proxy: give it an OpenAI-style request and it can produce the Anthropic/Gemini equivalent, including streaming, tool calls, and multimodal inputs. It&amp;#x27;s open source, and…&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2604.09360/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
