RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
fix(go-models): harden LongCat default transport handling (#15340)
## Summary - Harden `NewLongCatModel` to avoid panics when `http.DefaultTransport` is a custom non-`*http.Transport` RoundTripper. - Fallback to a safe transport (`ProxyFromEnvironment`) while preserving existing pooling/timeout settings. - Add `TestLongCatNewModelWithCustomDefaultTransport` regression coverage. Co-authored-by: Cursor <cursoragent@cursor.com>
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glorydavid03023 committed
ff9aa4e2c7d5ba8b03175cc7cce7e19db10496af
Parent: ed87893
Committed by GitHub <noreply@github.com>
on 5/28/2026, 8:45:59 AM