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 Hunyuan embedding validation (#15249)
## Summary - Validate Hunyuan embedding model name and API key before building requests. - Reuse region-aware base URL validation for embedding requests. - Replace the stale unsupported Embed test with happy-path and validation coverage. ## What changed - Added early Hunyuan Embed validation for missing model names and API keys. - Routed Embed through the same base URL region guard used by the other Hunyuan methods. - Updated Hunyuan tests to configure the embedding suffix and cover Embed success plus invalid inputs. ## Why Hunyuan Embed is implemented, but the existing test still expected it to be unsupported and could panic before returning a normal validation error. This keeps the implemented embedding path aligned with the current driver behavior and prevents nil input panics. Closes #15087 Refs #14736
O
oktofeesh committed
be281779558c6a9afa0215f480f5ed6614c834e9
Parent: d1f6594
Committed by GitHub <noreply@github.com>
on 5/29/2026, 11:50:01 AM