LLM-Rosetta: A Hub-and-Spoke Intermediate Representation for Cross-Provider LLM API Translation
The rapid proliferation of Large Language Model (LLM) providers--each exposing proprietary API formats--has created a fragmented ecosystem where applications become tightly coupled to individual vendors. Switching or bridging providers requires $O(N^2)$ bilateral adapters, impeding portability and multi-provider architectures. We observe that despite substantial syntactic divergence, the major LLM APIs share a common semantic core: the practical challenge is the combinatorial surface of syntactic variations, not deep semantic incompatibility. Based on this finding, we present LLM-Rosetta, an open-source translation framework built on a hub-and-spoke Intermediate Representation (IR) that c...
| Authors | Peng Ding |
|---|---|
| Primary category | cs.SE |
| Published | 10 April 2026 |
| Last updated at source | 10 April 2026 |
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