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d469a239af5bf2a40aebe0a1e6a0f81bbb68f067
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17 Commits

Author SHA1 Message Date
OG T
d469a239af fix(ai): 移除 confidence 預設值，強制 LLM 真實計算 
變更:
1. models/ai.py: confidence 改為 REQUIRED (移除 default=0.8)
2. openclaw.py: 如果 LLM 沒輸出 confidence，設為 0.5 + COLLAB

根本原因:
- 原本 Pydantic default=0.8 導致信心分數永遠是 80%
- 現在強制 LLM 必須計算真實信心分數

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-28 22:21:29 +08:00
OG T
984d31de0c feat(ai): Gemini 優先 + Token/Cost 追蹤 (2026-03-29 ogt) 
變更:
1. ConfigMap: Gemini 優先 ["gemini","ollama","claude"]
2. openclaw.py: 捕獲 Gemini usageMetadata (tokens/cost)
3. webhooks.py: 傳遞 ai_tokens/ai_cost 到 Telegram
4. telegram_gateway.py: 顯示 💰 Tokens: X / $Y.YYYY

Gemini 1.5 Flash 定價:
- Input: $0.075/1M tokens
- Output: $0.30/1M tokens

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-28 22:18:24 +08:00
OG T
60e9538889 feat(api): ADR-030 Phase 2 診斷資料收集強化 
實作智能自動修復系統的資料收集層：

1. k8s_diagnostics.py - K8s 診斷服務
   - Pod Events/Logs/ResourceUsage 收集
   - CrashLoopBackOff/OOM/ImagePull 偵測
   - 非同步並行收集 + 錯誤容忍

2. diagnosis_aggregator.py - 診斷聚合器
   - 整合 K8s + SignOz + Expert Rules
   - DiagnosisContext 提供結構化 LLM Prompt
   - DiagnosisSignal 信號分析

3. decision_manager.py - 決策引擎整合
   - Step 2.5 加入診斷收集
   - 傳遞 diagnosis_context 給 LLM

4. openclaw.py - LLM Prompt 增強
   - 整合 K8s/SignOz 深度診斷上下文
   - 支援 diagnosis_signals 摘要

ADR-030 架構: 診斷先行，根因分析，非盲目重啟

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 21:55:50 +08:00
OG T
d148756b67 feat(api): LLM 整合 Expert System 診斷上下文 
長期方案實作: Expert 診斷 + LLM 智能分析

變更:
1. decision_manager._dual_engine_analyze():
   - 測試資源跳過 LLM (省錢)
   - 傳遞 Expert 診斷上下文給 LLM
   - LLM 失敗時根據診斷調整回應

2. openclaw.generate_incident_proposal():
   - 新增 expert_context 參數
   - Prompt 包含 Expert 診斷結果
   - 引導 LLM 基於診斷做決策

流程:
Playbook → Expert診斷 → LLM(with context) → 智能建議

這是「先診斷根因，再決定行動」的正確實作

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 21:41:26 +08:00
OG T
bf32c4b1f2 feat(api): Phase 13.2 AI Rate Limiter + RAG 基礎設施 (#84) 
Rate Limiter (防止 Gemini 用量暴衝):
- ai_rate_limiter.py: RPM/Daily/Token 三層閥值
- openclaw.py: 整合 rate limit 檢查，超限自動降級
- health.py: /health/ai-usage 監控端點

RAG Tool 基礎 (#84 進行中):
- embedding_service.py: Ollama embedding 封裝
- rag_service.py: Redis vector search 服務

閥值設定:
- Gemini: 10 RPM, 500/day, 100K tokens/day
- Claude: 5 RPM, 200/day, 50K tokens/day

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 15:52:57 +08:00
OG T
702e9a9634 fix(api): 移除未使用的 resource_resolver 導入 
架構審查發現 get_resource_resolver 導入但未使用

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 12:43:59 +08:00
OG T
1cc34e1fc8 fix(api): Phase 18.1 修復 - Mock Response 正規化遺漏 
問題: _generate_mock_response() 直接使用原始 target_resource，
導致 URL (如 https://api.awoooi.wooo.work) 未正規化為有效 K8s 名稱

修復: 在 _generate_mock_response() 開頭加入 normalize_resource_name()
- 將 URL/域名轉換為有效 deployment 名稱
- 更新 namespace 為正確值 (awoooi-prod)

測試: E2E 驗證待部署後執行

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 12:07:16 +08:00
OG T
96c3ddd8c4 feat(api): Phase 18.1 K8s 資源名稱驗證 (ADR-016) 
三層防禦架構確保 kubectl 指令有效:
1. Webhook 入口正規化 (webhooks.py)
2. OpenClaw 產生指令前驗證 (openclaw.py)
3. 靜態映射表 + 模糊匹配 (k8s_naming.py, resource_resolver.py)

新增:
- src/utils/k8s_naming.py: RFC 1123 正規化 + 靜態映射
- src/services/resource_resolver.py: MCP K8s Tool 動態驗證
- docs/adr/ADR-016-k8s-resource-naming.md: 契約文檔
- scripts/e2e_tool_call_verification.py: E2E 驗證腳本 v2.0

修改:
- webhooks.py: Phase 18.1.7 入口正規化
- openclaw.py: Phase 18.1.6 產生指令前驗證
- Skill 03 v1.4: 新增 K8s 資源驗證章節

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 11:22:47 +08:00
OG T
b6cff31653 feat(api): Phase 15.3 Deep Linking 三系統互連 
實現 Sentry ↔ SignOz ↔ Langfuse 零斷鏈觀測:

新增 deep_linking.py:
- SignOz Trace URL 生成器
- Langfuse Trace URL 生成器
- Sentry Issue URL 生成器
- get_all_links() 統一取得所有連結

整合點:
- main.py: Sentry before_send 注入 otel_trace_id + signoz_trace_url
- langfuse_client.py: 自動注入 OTEL trace_id 到 metadata
- openclaw.py: SignOz span 記錄 langfuse.trace_id 反向連結

架構圖:
┌─────────┐ trace_id ┌─────────┐ trace_id ┌──────────┐
│ Sentry  │◄────────►│ SignOz  │◄────────►│ Langfuse │
│ Errors  │          │ Traces  │          │ LLMOps   │
└─────────┘          └─────────┘          └──────────┘

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 00:48:28 +08:00
OG T
1ac8965a7a feat(api): Phase 15.1 Langfuse LLMOps 整合 + 模型升級 
## 新功能
- Langfuse 自建部署 (192.168.0.110:3100)
- langfuse_client.py - LLM 呼叫追蹤包裝
- OpenClaw 整合 Langfuse trace

## 模型升級 (統帥批准)
- 生產預設: llama3.2:3b → qwen2.5:7b-instruct
- 摘要任務: llama3.2:3b (速度優先)

## 配置更新
- requirements.txt: +langfuse>=2.0.0
- config.py: +LANGFUSE_* 設定
- models.json: 更新 Ollama 模型配置
- K8s: Secret + ConfigMap 更新

## 審查通過
- 模組化檢查 ✅
- 核心測試 31/31 ✅

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-26 00:32:19 +08:00
OG T
749b8bc554 fix(api): 修復時區 import 排序與未使用變數 lint 錯誤 
- 修正 import 順序 (standard → third-party → local)
- 修復 datetime/timedelta 未定義錯誤
- 移除未使用的 imports

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-25 09:26:58 +08:00
OG T
2a2dac865a feat(api): 統一使用台北時區 UTC+8 (禁止 UTC) 
- 新增 src/utils/timezone.py 時區工具函式
- 修改 11 個後端檔案，全部改用 now_taipei()
- 更新 HARD_RULES.md 加入時區鐵律章節
- 更新 Skills 02/04 加入時區禁令

🔴 HARD RULE: 禁止 datetime.utcnow() / datetime.now(UTC)
✅ 正確做法: from src.utils.timezone import now_taipei

Memory: feedback_timezone_taipei.md

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-25 09:08:34 +08:00
OG T
6f049877fc fix(lint): ruff auto-fix + lewooogo-core src 加入 git 
- Python: ruff --fix 修復 280 個 lint 錯誤
- lewooogo-core: src/ 目錄未追蹤，導致 CI eslint 失敗

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-23 23:51:37 +08:00
OG T
7478dc0254 feat(phase6-9): Complete modular architecture and Agent Teams 
Phase 6.4 - Modular Architecture:
- Add lewooogo-brain adapters for LLM providers
- Add lewooogo-data dual memory (Redis + PostgreSQL)
- Implement consensus engine for multi-agent decisions
- Add incident memory service for historical context

Phase 9 - Agent Teams (Claude Agent SDK):
- Add base agent class with Claude Sonnet 4 integration
- Implement action planner, blast radius, and security agents
- Add agent API endpoints and proposal workflow
- Integrate ADR-009 OpenClaw Agent Teams architecture

DevOps & CI/CD:
- Add GitHub Actions CI/CD workflows (ci.yaml, cd.yaml)
- Add pre-commit hooks and secrets baseline
- Add docker-compose for local development
- Update Kubernetes network policies

Frontend Improvements:
- Add auto-healing error boundary component
- Update i18n messages for agent features
- Enhance dual-state incident card with execution feedback

Documentation:
- Add 7 ADRs covering MCP, design system, architecture decisions
- Update ARCHITECTURE_MEMORY.md with modular design
- Add GLOBAL_RULES.md and SOUL.md for project identity

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-23 18:40:36 +08:00
OG T
de5796522f fix(api): fix optimization_suggestions dict access in proposal generation 
The optimization_suggestions field is list[dict], not list[object].
Use .get() to access dict keys instead of attribute access.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-23 01:40:00 +08:00
OG T
141df533cc feat(api): Phase 6.4 LLM-based proposal generation with cache 
- Add _call_with_cache wrapper in OpenClaw (Redis-based LLM cache)
- Add generate_incident_proposal method for incident analysis
- Integrate ProposalService with OpenClaw LLM
- Fallback to template-based proposals if LLM fails
- Include LLM metadata (provider, confidence, cache status) in proposals

憲法條款: 必須使用快取保護算力資源，嚴禁無快取裸奔調用

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-03-23 01:33:46 +08:00
OG T
196d269b92 feat: add all application source code 
- apps/api: FastAPI backend with Dockerfile
- apps/web: Next.js frontend with Dockerfile
- apps/sensor: Signal collection agent
- packages: shared packages

Co-Authored-By: Claude <noreply@anthropic.com>
 2026-03-22 18:57:44 +08:00