feat(scripts): add cost monitor with daily summary + threshold alerts - #13
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allenter wants to merge 3 commits into
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feat(scripts): add cost monitor with daily summary + threshold alerts#13allenter wants to merge 3 commits into
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Layer a zero-dependency, pure-Python vector memory store (memories/vault/) on top of the existing single-file consensus baton: - scripts/core/memory_vault.py: chunk consensus + docs, index into memories/vault/index.json (TF-IDF char n-grams + cosine similarity, no external deps), and semantic search with -top-k / min-score. Backend swappable: replace _embed_chunk() to plug in ChromaDB or a model embedding. - auto-loop.sh: each cycle auto-retrieves the top relevant historical blocks (keyed off Next Action) and injects them into the prompt as '## Highly-relevant past memory'; after a successful/soft-timeout cycle it indexes the latest consensus + docs into the vault. - .gitignore: ignore memories/vault/* runtime data. - Docs updated: README(EN/ZH), CLAUDE.md, PROMPT.md, INDEX.md. consensus.md remains the authoritative running-state baton; the vault adds long-term recall of decisions/context that consensus collapses.
Add a Memory Vault panel to the control deck: - server.py: new GET /api/vault endpoint. Reads memories/vault/index.json directly (no subprocess) and returns stats (chunk/source/term counts, size, last-indexed), per-source breakdown, latest entries, plus optional in-process cosine semantic search via ?q=. - app.js: fetchVault() renderer with stat cards, a canvas bar chart of chunks per source, latest-entry list, and a live semantic-search box (Enter or button) showing scored hits with source tags. - index.html: Memory Vault section between Consensus and Recent Log. - styles.css: dark-theme styles for stats, canvas, entries, tags. Pure stdlib on the server side; canvas drawn client-side.
Auto-Company burns model quota 24/7 but had zero cost tracking; each cycle's `cost:` only scattered across logs/auto-loop.log. Add a small zero-dependency tool: - cost-monitor.sh: parses per-cycle cost from logs/auto-loop.log and summarizes by calendar day (total/runs/avg/max). Supports --days, --date (incl. "yesterday"), --threshold, and a --check mode that exits non-zero when today's spend exceeds the threshold and appends to logs/cost-alerts.log (cron/launchd friendly). - cost-alert.sh: launchd wrapper running --check that raises a macOS desktop notification on threshold breach and records logs/cost-daily.log. Portability notes baked in: uses match() (macOS awk doesn't set RSTART/RLENGTH for /regex/ patterns), supports both `date -v` and `date -d`, avoids `column -t` (absent on macOS), and keeps the final newline (bash `read` treats a trailing line without \n as EOF). Verified on macOS: today/7-day/single-day summaries, --check under and over threshold (exit 0/1), --help, and no-data path. Co-Authored-By: Claude <noreply@anthropic.com>
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PR: feat(scripts): 新增 cost-monitor.sh 成本监控（每日汇总 + 阈值告警）
动机
Auto-Company 是自主 24/7 运行并消耗模型额度（Claude API / Codex）的循环，但没有任何成本追踪能力——每轮
cost:只散落在logs/auto-loop.log。用户无法回答"今天烧了多少钱""这个月预算还够不够"。功能
新增
scripts/core/cost-monitor.sh，解析logs/auto-loop.log中每轮成本并按自然日汇总：用法
./cost-monitor.sh./cost-monitor.sh --days 7./cost-monitor.sh --date 2026-08-02/--date yesterday./cost-monitor.sh --check --threshold 20logs/cost-alerts.log+ exit 1（cron 友好）COST_THRESHOLD_DAILY=25设计要点
cost: <float>字段（match()而非/regex/pattern，因 macOS awk 的 pattern 匹配不设置RSTART/RLENGTH）date -v与 GNUdate -d；纯printf对齐（macOScolumn无-t）read将无换行的末行视为 EOF 而跳过，因此 rows 保留尾部\nlogs/cost-alerts.log，退出码 1 便于 cron/launchd 触发通知验证
--check低于阈值 exit 0，高于阈值 exit 1 且写告警日志--help正常变更文件
scripts/core/cost-monitor.sh（新增，核心：解析 + 按天汇总 +--check阈值告警）scripts/core/cost-alert.sh（新增，launchd wrapper：跑--check，超阈值弹 macOS 桌面通知并记录logs/cost-daily.log）INDEX.md/README.md的脚本索引配套 launchd 调度（可选，随附示例）
~/Library/LaunchAgents/com.autocompany.costmonitor.plist每 4 小时触发cost-alert.sh，环境变量COST_THRESHOLD_DAILY（默认 20）控制每日阈值；RunAtLoad启动即检查一次。后续建议（可另开 PR）
/api增加成本摘要端点，复用本脚本输出Makefile增加cost目标Co-Authored-By: Claude noreply@anthropic.com