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: post /api/v1/system/tokens (#15410)
### What problem does this PR solve? This PR aligns `POST /api/v1/system/tokens` in Go with the Python implementation. ### Type of change - Keep the token creation flow under the system API route. - Preserve the owner-tenant authorization check. - Generate and persist API tokens consistently with the current Go service flow. - Return the created token payload in the standard API response format. Co-authored-by: Jin Hai <haijin.chn@gmail.com>
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Hz_ committed
1092f624fb90d3e3644f8a380990b4c5ed48fb6c
Parent: 3bc5ed2
Committed by GitHub <noreply@github.com>
on 6/2/2026, 5:39:07 AM