old-docker-actions/ai-code-review
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Code Pull Requests 1 Actions Releases 2 Activity
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0b59ca6023f947e03513de7cacadfdff4d370cc6
Commit Graph
10 Commits
Author SHA1 Message Date
jiantw83 0b59ca6023 refactor(LLM CLI): 明確化 CLI 參數與驗證輸出 2026-06-29 10:49:22 +00:00
Jeffery 34a9eb6d4e fix(llm): 移除 codex exec 已不支援的 --ask-for-approval 參數 2026-06-29 16:01:35 +08:00
jiantw83 6f997083ef feat(ai-code-review): 支援 Antigravity CLI
CI / AI Code Review (pull_request) Failing after 17s
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CI / Release Tag Version (pull_request) Successful in 4s
Details
2026-06-27 13:47:44 +00:00
jiantw83 08a72a8c7f feat(ai-code-review): 改用 AI 助理 CLI 執行審查 2026-06-27 13:30:40 +00:00
jiantw83 93be261b90 fix(OpenCode 呼叫): 降低並行請求並重試暫時性錯誤
CI / AI Code Review (pull_request) Failing after 3s
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2026-06-26 09:36:33 +00:00
jiantw83 6c3e7b9d37 fix(LLM 審查流程): 避免單一角色失敗中止 pipeline
CI / AI Code Review (pull_request) Failing after 7s
Details
2026-06-26 09:26:12 +00:00
JefferyandClaude Opus 4.8 775cc575ae test(app): 補齊 isSafeRepoPath/extractBalancedJSON/normalizeText/repairJSONArrayWithAI/格式化函式測試 
為可測性 export 三個內部函式（isSafeRepoPath、extractBalancedJSON/extractJSONText、normalizeText）。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-26 14:41:41 +08:00
JefferyandClaude Opus 4.8 1378f03595 docs(ai-code-review): 補齊各模組 JSDoc、指令檔逐行註解並重建 README 
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-26 14:16:04 +08:00
jiantw83 65f27f544b Refactor LLM verification and update dependencies 
- Removed OpenAI and related dependencies from package.json and package-lock.json.
- Simplified LLM verification logic to focus on OpenCode server.
- Updated tests to reflect changes in LLM provider handling.
- Added CI and CD workflows for automated processes in Gitea.
 2026-06-25 10:17:08 +00:00
jiantw83 525f6f9350 feat: add role management and usage tracking for AI code review 
- Implemented role parsing and loading from markdown files, including attributes like name, side, focus, badge, color, and personality.
- Created functions to build prompts for analysis, line location, and verdicts based on roles.
- Added tests for role management functionalities to ensure correct parsing and loading of roles.
- Developed usage tracking for AI assistant interactions, including token usage and rate limits.
- Implemented functions to extract and record usage data from various LLM providers.
- Added tests for usage tracking functionalities to validate correct accumulation and reporting of usage statistics.
 2026-06-25 09:34:59 +00:00