feat(agenthub): refine digital assistant preview support#426
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Claude finished @tinklone's task in 51s —— View job Code Review: feat(agenthub) — refine digital assistant preview supportI've reviewed the 11 changed files across CubeAPI, WebUI, Deploy, and Docs. Overall the diff is well-structured and the changes are clean. Below are my findings, organized by severity. 🔴 Medium:
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| Severity | Count |
|---|---|
| 🔴 High | 1 |
| 🟡 Medium | 3 |
| 🟢 Suggestion | 1 |
The changes are well-structured and follow existing code conventions. The main concerns are around the health check endpoint's error handling (500 vs 404) and the polling logic not re-checking gateway readiness once established. None are blockers, but the medium-severity items would improve robustness in production use.
- Add snapshot/rollback API routes for AgentHub instances - Add preview button and sandbox open logic in WebUI - Fix template store to use correct default - Update env.example with snapshot config note - Add preview documentation in EN/ZH guides Signed-off-by: maxlong <maxlong@tencent.com>
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Claude finished @tinklone's task in 1m 55s —— View job Review: feat(agenthub) — refine digital assistant preview supportI've reviewed the 10 changed files across CubeAPI, WebUI, Deploy, and Docs. The changes are generally well-structured and the feature integration is clean. Below are my findings. 🔴 Fix:
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| Severity | Count |
|---|---|
| 🔴 Fix | 1 |
| 🟡 Medium | 2 |
| 🟢 Suggestion | 1 |
The changes are well-structured and follow existing conventions. The main concerns are: (1) the health check endpoint returning an error instead of gracefully handling missing agents, and (2) the polling never re-checking gateway readiness once established. Neither is a blocker, but both would improve production robustness.
| Branch: feature/agenthub-preview-polish
Summary
Refine the AgentHub digital assistant preview/management experience:
CubeAPI
WebUI
Deploy
003_agenthub_instances.sql) for operator manual repair scenariosenv.examplewith snapshot config noteDocs
Signed-off-by: maxlong maxlong@tencent.com