OG T
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3eb3051a73
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fix(ci): 修復 docker socket 重複掛載 (1774793847)
CD Pipeline / build-and-deploy (push) Failing after 3m22s
E2E Health Check / e2e-health (push) Failing after 11s
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2026-03-29 22:17:27 +08:00 |
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OG T
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b97f9364fb
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feat(k8s): add Worker HPA + fix non-AI confidence values
Wave 2 Deployment:
- Worker HPA: min:1 max:3, CPU 70%, Memory 80%
- 前置條件: XCLAIM + terminationGracePeriodSeconds:90 (Wave 1 ✅)
- 比 API/Web 更保守的擴縮策略 (120s up, 600s down)
Confidence Fix:
- 非 AI 分析來源 (fallback/playbook/historical/consensus) 設 confidence=0.0
- 避免混淆 AI 信心度與其他指標 (成功率/相似度)
- 涉及: github_webhook, decision_manager, intent_classifier, learning_service
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2026-03-29 16:09:37 +08:00 |
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OG T
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938df7f291
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fix(api): 全面清除假信心分數 - 遵循 feedback_confidence_truthfulness.md
🔴 違規修正: 規則匹配/Expert System 不是 AI 分析，confidence 必須 = 0.0
修正檔案:
- agents/action_planner.py: 0.9 → 0.0
- agents/blast_radius.py: 0.85/0.5/0.9 → 0.0
- agents/security.py: 計算公式 → 0.0
- signoz_webhook.py: 0.7 → 0.0
- auto_approve.py: default 0.5 → 0.0
- ci_auto_repair.py: 整個計算函數 → return 0.0
- error_analyzer_service.py: default 0.5 → 0.0
- intent_classifier.py: 計算公式 → 0.0
- openclaw.py: default 0.5 → 0.0
- resource_resolver.py: 0.8 → 0.0
- k8s_naming.py: 0.9/0.7 → 0.0
只有 LLM 真實分析返回的 confidence 才能 > 0
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2026-03-29 16:00:46 +08:00 |
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OG T
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579da38b8b
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feat(api): Phase 13 智能路由 + CI/CD 整合 (#74-88)
Phase 13.1 CI/CD Integration:
- #76 workflow_run handler for CI failure diagnosis
- #77 SignOz log query (query_logs, error_logs_summary MCP)
- #78 CIAutoRepairService with risk-based execution decisions
Phase 13.3 Smart Routing:
- #85 Intent Classifier v2.0 (rule engine + LLM fallback)
- #86 Complexity Scorer (9-dimension scoring)
- #87 AI Router v3.0 (routing decision matrix)
- #88 Token Counter (OTEL + Langfuse integration)
New files:
- services/ci_auto_repair.py (risk stratification)
- services/model_registry.py (centralized model config)
- services/token_counter.py (677 lines)
- Skill 08: Model Router Expert
- Skill 09: Strangler Pattern Expert
- ADR-023: Smart Routing Architecture
- ADR-024: API Layer Architecture
Tests:
- phase11-conversational.spec.ts (E2E tests)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2026-03-26 15:32:52 +08:00 |
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OG T
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957150a156
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fix(api): 移除 intent_classifier 未使用 import (F401)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2026-03-26 10:06:43 +08:00 |
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OG T
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58b4004a18
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feat(api): Phase 13.3 智能路由 (#85-87)
- IntentClassifier: 意圖分類 (告警/部署/查詢/維運/審查)
- ComplexityScorer: 複雜度評分 (1-5 分)
- AIRouter: 動態模型選擇 (整合 Intent + Complexity)
- 測試: 完整單元測試覆蓋
Phase 13.3 設計: project_phase13_3_smart_router.md
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2026-03-26 10:01:04 +08:00 |
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