cxs is a local-first CLI for searching Codex session logs. It is designed for progressive retrieval: find the right session first, then read
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{"parentUuid":"8e5f53d0-825d-4ea8-80fb-53eed5a9e2a8","isSidechain":false,"attachment":{"type":"file","filename":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","content":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","content":"# cxs 代码质量审查报告（2026-04-27）\n\n## 结论\n\n当前 `cxs` 代码质量中上，已经是可接手的小型 CLI 项目；主要风险不在代码结构本身，而在工程化、异常路径和少数边界防御还需要补强。\n\n综合评分：**7.5 / 10**。\n\n## 审查范围\n\n本次审查基于当前工作区状态，而不是 clean `main`。审查覆盖：\n\n- `cli.ts`\n- `parser.ts`\n- `db.ts`\n- `query.ts`\n- `ranking.ts`\n- `indexer.ts`\n- `sync-lock.ts`\n- `types.ts`\n- 测试文件与项目文档\n\n验证命令：\n\n```bash\nbun test\n```\n\n结果：\n\n```text\n30 pass\n0 fail\n109 expect() calls\n```\n\n## 优点\n\n### 1. 项目边界清楚\n\n`cxs` 明确定位为本机 Codex session 日志的渐进式检索 CLI，不把 GUI、watcher、daemon、realtime sync 混进来。\n\n当前主工作流保持为：\n\n```text\nsync -> find -> read-range/read-page\n```\n\n### 2. 模块拆分健康\n\n当前代码地图比较清晰：\n\n- `cli.ts`：CLI 命令面\n- `indexer.ts`：sync 与索引更新\n- `parser.ts`：Codex JSONL 解析与 session summary 生成\n- `db.ts`：SQLite schema、session/message 存取、FTS 表维护\n- `query.ts`：find/list/read-range/read-page/current 查询编排\n- `ranking.ts`：session 级 heuristic rerank\n- `eval/`：manual eval 与 batch compare\n\n这对一个本地 CLI 来说是健康结构。\n\n### 3. 当前改动方向合理\n\n本轮实现方向整体正确：\n\n- 增加 `current` 命令，从 Codex state DB 按 cwd 找候选 session。\n- 增加 session-level recall，把 `title + summary_text + compact_text + reasoning_summary_text` 纳入 `sessions_fts`。\n- 引入 `matchSource = \"session\"` 与 `matchSeq = null` 语义，避免把 summary/compact 伪造成可回读 message。\n- 保持 `messages` 只表示真实可回读 transcript。\n- 增加 sync single-writer lock 与 read busy timeout。\n- 同步更新 README、AGENTS、architecture、roadmap、skill JSON schema 等文档。\n\n尤其值得保留的是：**不把 compact/summary 写成 `seq = -1` 的虚拟 message**。这个设计比把 session-level signal 混入 message stream 更干净。\n\n### 4. 测试覆盖不差\n\n现有测试已经覆盖：\n\n- CLI help/current/find/list/stats/read-page/sync fail\n- parser 对 compacted handoff 与 reasoning summary 的抽取\n- query 的 title-only recall、field weights、compact recall、snippet density、parallel read lock\n- indexer 的 strict/best-effort、writer lock、stale lock\n- eval predicate 语义\n\n## 主要问题与风险\n\n### P0-1：缺少真正的 TypeScript 类型检查\n\n`package.json` 中 `check` 当前只是 `bun test`，没有 `tsc --noEmit`。Bun 可以执行 TypeScript，但不等于有完整类型检查。\n\n当前类型已经开始变复杂，例如：\n\n- `matchSeq: number | null`\n- `matchSource: \"message\" | \"session\"`\n- `FindMatchRole`\n\n建议补：\n\n- `tsconfig.json`\n- `bunx tsc --noEmit`\n- 把 `check` 改成 `tsc --noEmit && bun test`\n\n### P0-2：DB 连接在异常路径上可能泄漏\n\n部分 query 函数当前是：\n\n```ts\nconst db = openReadDb(dbPath);\nconst session = getSessionRecord(db, sessionUuid);\nif (!session) throw new Error(...);\ndb.close();\n```\n\n如果中间 throw，`db.close()` 不会执行。\n\n建议把 query 层所有 open/close 统一改成：\n\n```ts\nconst db = openReadDb(dbPath);\ntry {\n // work\n} finally {\n db.close();\n}\n```\n\n`getCurrentSessions()` 已经采用这种结构，其他函数应对齐。\n\n### P0-3：sync lock stale 清理存在竞争窗口\n\n当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。\n\n### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n\n`current` 直接依赖 `threads` 表和字段：\n\n- `id`\n- `rollout_path`\n- `cwd`\n- `title`\n- `updated_at_ms`\n\n这对当前本机可用，但作为开源 CLI，Codex state DB schema 可能变化。建议：\n\n- 先检查 table/columns 是否存在。\n- schema 不匹配时输出友好错误。\n- `--json` 模式返回结构化 error，而不是 SQLite 原始异常。\n\n## 次级问题\n\n### P1-1：ranking 逻辑开始堆 magic constants\n\n当前 ranking 使用多组启发式权重，例如 title phrase、title term、cwd term、message bump、user bump、session hit、hit count、recency 等。\n\n这对轻量 retrieval CLI 是合理的，但继续堆会变难调。下一步不建议继续盲目加权重，应优先补 manual eval acceptance gate。\n\n### P1-2：mixed match 展示策略需要专门测试\n\n当前展示行优先选择 message hit，避免用户拿到 `matchSeq = null` 后无法 `read-range`。这是合理产品取舍，但可能掩盖真正强的 session-level 命中。\n\n建议增加 mixed case 测试：同一个 session 里同时有强 session-level hit 和弱 message hit 时，确认展示策略符合预期。\n\n### P1-3：缺少真实大库性能基准\n\n现有单元测试较好，但还缺：\n\n- 几千 session 下的 sync/find p95\n- 大型 `sessions_fts` 的 query 噪音评估\n- real-world manual eval regression gate\n\n## 建议优先级\n\n### P0：发前必须做\n\n1. 补 `tsc --noEmit`。\n2. query 层所有 DB open 改成 `try/finally close`。\n3. 修 sync lock 删除 stale lock 的 race。\n4. 对 `current` 做 state DB schema 检查和友好错误。\n\n### P1：增强可信度\n\n1. 把 session-level recall 的 mixed cases 加进 eval。\n2. 给 ranking magic constants 写一页短说明，避免后续 agent 乱调。\n3. 跑一次真实库 smoke：`sync -> stats -> find -> read-range/read-page`。\n4. 把当前大工作区改动拆成 focused commits。\n\n### P2：长期演进\n\n1. eval 从人工报告升级为 regression gate。\n2. 再考虑 duplicate collapse / diversity control。\n3. 再考虑真正 resource-level reranker。\n\n## 结语\n\n`cxs` 当前已经不是玩具脚本，结构、测试和文档同步意识都比较像一个正经小型 CLI。下一阶段最值得投入的是类型检查、异常路径资源释放、lock race 和 state DB schema 防御，而不是继续堆检索权重。\n","numLines":201,"startLine":1,"totalLines":201}},"displayPath":"docs/CODE_QUALITY_REVIEW_2026-04-27.md"},"type":"attachment","uuid":"4507aea0-1986-47d8-a5cb-7268a89935ec","timestamp":"2026-04-27T03:55:40.877Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"}
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For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- simplify: Review changed code for reuse, quality, and efficiency, then fix any issues found.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- claude-api: Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).\nTRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.\nSKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.\n- skill-judge: Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.\n- edge-tts: Cloudflare Edge TTS 部署与接入。用户提到 edge tts、cloudflare tts、tts worker、文字转语音、语音播报、本机通知接语音、给脚本接 TTS、列 voices、部署一个轻量 TTS 服务时必须使用。适合 clone/部署 DIYgod/cloudflare-edge-tts、做 smoke test、接入本地 shell 脚本与缓存。\n- xsearch: 无需 MCP 的 Grok 直搜 + 轻量编排套套。用于用户说 `$xsearch`、xsearch、想直接跑 curl/HTTP 版 hey-grok、所在环境没挂 hey-grok MCP 但有 shell、需要在脚本/CI/cron 里调搜索，或遇到深度研究想上 subagent fan-out 但不想走 MCP 时。包含只有两种模式：`solo`——单次调用 xsearch 叶子工具；`ensemble`——用提示词触发宿主 agent 自己的并发 subagent/Task 机制并行跷 N 个正交角度，每个子 agent 只用 xsearch，最后父 agent 做交叉综合。包含自动分类会议：拿到问题先判断 solo 还是 ensemble。不做进程/shell 级并发，并发实际逻辑交给宿主 runtime（Claude Code Task / Codex subagent / 平行工具调用）。\n- session-wrap: Use when the user wants to wrap up the current coding session, summarize the current session before ending work, document learnings, decide what to commit, or says 总结会话, 会话总结, 收尾, 会话收尾, 结束会话, 总结本次会话.\n- research-note-wrap: Use when the user wants to summarize research or analysis into a readable Obsidian markdown note, such as 总结调研, 输出结论, 总结分析, 输出笔记, 调研纪要, 分析纪要, 会话结论, or when asking to summarize today's sessions about a topic. Use for current-session summaries by default, and for cross-session topic summaries when the user mentions 今天会话 or gives a topic scope.\n- cloudflare: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.\n- wechat-macos: Use when automating WeChat for macOS through axcli, including switching chats, sending text, reading the latest messages, and visual verification. Scope is the native macOS client only.\n- network-diagnosis: Use when the user mentions sb, sing-box, Shadowrocket, Tailscale, VPN conflicts, DNS issues, UDP failures, fakeIP side effects, or asks for a global network diagnosis/control workflow on this Mac.\n- browser-harness: Direct browser control via CDP. Use when the user wants to automate, scrape, test, or interact with web pages. Connects to the user's already-running Chrome.\n- skill-creator: Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.\n- workers-best-practices: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wrangler.jsonc, or checking for common Workers anti-patterns (streaming, floating promises, global state, secrets, bindings, observability). 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{"parentUuid":"3761ce98-0b47-40b4-a74c-4c0103f62eea","isSidechain":false,"promptId":"26a53c39-f922-4d6c-a4e1-ab3d2929d86a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FhB26Y73VYN59dreiPuoGB","type":"tool_result","content":"1\timport { Database } from \"bun:sqlite\";\n2\timport type { SQLQueryBindings } from \"bun:sqlite\";\n3\timport { statSync } from \"node:fs\";\n4\timport {\n5\t getMessagesForPage,\n6\t getMessagesForRange,\n7\t getSessionRecord,\n8\t getStatsCounts,\n9\t getTopCwds,\n10\t listSessions,\n11\t openReadDb,\n12\t} from \"./db\";\n13\timport { INDEX_VERSION } from \"./env\";\n14\timport { classifyQueryProfile, rerankHits } from \"./ranking\";\n15\timport type { RawHitRow } from \"./ranking\";\n16\timport { hasCjk, isCjkToken, queryTerms } from \"./tokenize\";\n17\timport type {\n18\t CurrentSessionCandidate,\n19\t FindResult,\n20\t SessionListEntry,\n21\t SessionListQuery,\n22\t SessionRecord,\n23\t StatsSummary,\n24\t} from \"./types\";\n25\t\n26\texport { classifyQueryProfile } from \"./ranking\";\n27\ttype SqlParams = SQLQueryBindings[];\n28\t\n29\texport function findSessions(\n30\t dbPath: string,\n31\t query: string,\n32\t limit: number,\n33\t): { query: string; results: FindResult[] } {\n34\t const db = openReadDb(dbPath);\n35\t const recallLimit = Math.max(limit * 12, 50);\n36\t const rawRows = [\n37\t ...searchMessageHits(db, query, recallLimit),\n38\t ...searchSessionHits(db, query, recallLimit),\n39\t ];\n40\t const results = rerankHits(rawRows, query, limit);\n41\t db.close();\n42\t return { query, results };\n43\t}\n44\t\n45\texport function getMessageRange(\n46\t dbPath: string,\n47\t sessionUuid: string,\n48\t options: { seq?: number; query?: string; before: number; after: number },\n49\t): {\n50\t session: SessionRecord;\n51\t anchorSeq: number;\n52\t rangeStartSeq: number;\n53\t rangeEndSeq: number;\n54\t messages: ReturnType<typeof getMessagesForRange>;\n55\t} {\n56\t const db = openReadDb(dbPath);\n57\t const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n58\t const session = getSessionRecord(db, sessionUuid);\n59\t if (!session) throw new Error(`session not found: ${sessionUuid}`);\n60\t\n61\t const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n62\t const rangeEndSeq = anchorSeq + options.after;\n63\t const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n64\t db.close();\n65\t return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n66\t}\n67\t\n68\texport function getMessagePage(\n69\t dbPath: string,\n70\t sessionUuid: string,\n71\t offset: number,\n72\t limit: number,\n73\t): {\n74\t session: SessionRecord;\n75\t offset: number;\n76\t limit: number;\n77\t totalCount: number;\n78\t hasMore: boolean;\n79\t messages: ReturnType<typeof getMessagesForPage>;\n80\t} {\n81\t const db = openReadDb(dbPath);\n82\t const session = getSessionRecord(db, sessionUuid);\n83\t if (!session) throw new Error(`session not found: ${sessionUuid}`);\n84\t const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n85\t const totalCount = session.messageCount;\n86\t const hasMore = offset + messages.length < totalCount;\n87\t db.close();\n88\t return { session, offset, limit, totalCount, hasMore, messages };\n89\t}\n90\t\n91\texport function listSessionSummaries(\n92\t dbPath: string,\n93\t query: SessionListQuery,\n94\t): { query: SessionListQuery; results: SessionListEntry[] } {\n95\t const db = openReadDb(dbPath);\n96\t const results = listSessions(db, query);\n97\t db.close();\n98\t return { query, results };\n99\t}\n100\t\n101\texport function getCurrentSessions(\n102\t stateDbPath: string,\n103\t cwd: string,\n104\t limit: number,\n105\t): { cwd: string; candidates: CurrentSessionCandidate[] } {\n106\t const normalizedCwd = cwd.trim();\n107\t if (!normalizedCwd) {\n108\t return { cwd: normalizedCwd, candidates: [] };\n109\t }\n110\t\n111\t const db = new Database(stateDbPath, { readonly: true });\n112\t try {\n113\t const candidates = db\n114\t .query<CurrentSessionCandidate, [string, number]>(`\n115\t SELECT\n116\t id AS sessionUuid,\n117\t title,\n118\t cwd,\n119\t rollout_path AS filePath,\n120\t COALESCE(updated_at_ms, 0) AS updatedAtMs\n121\t FROM threads\n122\t WHERE cwd = ?\n123\t ORDER BY updated_at_ms DESC\n124\t LIMIT ?\n125\t `)\n126\t .all(normalizedCwd, limit) as CurrentSessionCandidate[];\n127\t return { cwd: normalizedCwd, candidates };\n128\t } finally {\n129\t db.close();\n130\t }\n131\t}\n132\t\n133\texport function collectStats(dbPath: string): StatsSummary {\n134\t const db = openReadDb(dbPath);\n135\t const counts = getStatsCounts(db);\n136\t const topCwds = getTopCwds(db, 10);\n137\t db.close();\n138\t\n139\t let dbSizeBytes = 0;\n140\t try {\n141\t dbSizeBytes = statSync(dbPath).size;\n142\t } catch {\n143\t dbSizeBytes = 0;\n144\t }\n145\t\n146\t return {\n147\t sessionCount: counts.sessionCount,\n148\t messageCount: counts.messageCount,\n149\t earliestStartedAt: counts.earliestStartedAt,\n150\t latestEndedAt: counts.latestEndedAt,\n151\t topCwds,\n152\t indexVersion: INDEX_VERSION,\n153\t dbPath,\n154\t dbSizeBytes,\n155\t lastSyncAt: counts.lastSyncAt,\n156\t };\n157\t}\n158\t\n159\tfunction resolveAnchorSeq(\n160\t db: Database,\n161\t sessionUuid: string,\n162\t seq?: number,\n163\t query?: string,\n164\t): number {\n165\t if (typeof seq === \"number\") {\n166\t return seq;\n167\t }\n168\t\n169\t if (query) {\n170\t const best = searchTopHitInSession(db, sessionUuid, query);\n171\t if (best && typeof best.matchSeq === \"number\") return best.matchSeq;\n172\t }\n173\t\n174\t throw new Error(\"read-range requires explicit session_uuid plus either --seq or --query\");\n175\t}\n176\t\n177\tfunction searchTopHitInSession(db: Database, sessionUuid: string, query: string): FindResult | null {\n178\t const rows = searchMessageHits(db, query, 20, sessionUuid);\n179\t const result = rerankHits(rows, query, 1)[0];\n180\t return result ?? null;\n181\t}\n182\t\n183\tfunction searchMessageHits(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n184\t const normalized = query.trim();\n185\t if (!normalized) return [];\n186\t\n187\t const terms = queryTerms(normalized);\n188\t // Queries that degenerate to zero tokens (e.g. a single kanji dropped as\n189\t // stop-word-like noise, or whitespace only) cannot hit the FTS index. Fall\n190\t // back to a bounded LIKE scan so single-character CJK probes still work\n191\t // even though they are discouraged.\n192\t if (terms.length === 0) {\n193\t if (hasCjk(normalized)) return searchByLike(db, normalized, limit, sessionUuid);\n194\t return [];\n195\t }\n196\t\n197\t return searchByFts(db, terms, limit, sessionUuid);\n198\t}\n199\t\n200\tfunction searchSessionHits(db: Database, query: string, limit: number): RawHitRow[] {\n201\t const normalized = query.trim();\n202\t if (!normalized || !tableExists(db, \"sessions_fts\")) return [];\n203\t\n204\t const terms = queryTerms(normalized);\n205\t if (terms.length === 0) return [];\n206\t\n207\t return searchSessionsByFts(db, normalized, terms, limit);\n208\t}\n209\t\n210\tfunction searchByFts(\n211\t db: Database,\n212\t terms: string[],\n213\t limit: number,\n214\t sessionUuid?: string,\n215\t): RawHitRow[] {\n216\t const matchExpr = buildFtsMatch(terms);\n217\t const conditions = [`messages_fts MATCH ?`];\n218\t const params: SqlParams = [matchExpr];\n219\t\n220\t if (sessionUuid) {\n221\t conditions.push(\"m.session_uuid = ?\");\n222\t params.push(sessionUuid);\n223\t }\n224\t params.push(limit);\n225\t\n226\t return db\n227\t .query<RawHitRow, typeof params>(`\n228\t SELECT\n229\t s.session_uuid AS sessionUuid,\n230\t s.title AS title,\n231\t s.summary_text AS summaryText,\n232\t s.cwd AS cwd,\n233\t s.started_at AS startedAt,\n234\t s.ended_at AS endedAt,\n235\t 'message' AS matchSource,\n236\t m.seq AS matchSeq,\n237\t m.role AS matchRole,\n238\t m.timestamp AS matchTimestamp,\n239\t m.content_text AS contentText,\n240\t snippet(messages_fts, 0, '<mark>', '</mark>', '…', 16) AS snippet,\n241\t bm25(messages_fts) AS score\n242\t FROM messages_fts\n243\t JOIN messages m ON m.id = messages_fts.rowid\n244\t JOIN sessions s ON s.id = m.session_id\n245\t WHERE ${conditions.join(\" AND \")}\n246\t ORDER BY score\n247\t LIMIT ?\n248\t `)\n249\t .all(...params) as RawHitRow[];\n250\t}\n251\t\n252\tfunction searchSessionsByFts(\n253\t db: Database,\n254\t query: string,\n255\t terms: string[],\n256\t limit: number,\n257\t): RawHitRow[] {\n258\t const matchExpr = buildFtsMatch(terms);\n259\t const rows = db\n260\t .query<RawHitRow, [string, number]>(`\n261\t SELECT\n262\t s.session_uuid AS sessionUuid,\n263\t s.title AS title,\n264\t s.summary_text AS summaryText,\n265\t s.cwd AS cwd,\n266\t s.started_at AS startedAt,\n267\t s.ended_at AS endedAt,\n268\t 'session' AS matchSource,\n269\t NULL AS matchSeq,\n270\t 'session' AS matchRole,\n271\t NULL AS matchTimestamp,\n272\t s.title || char(10) || s.summary_text || char(10) || s.compact_text || char(10) || s.reasoning_summary_text AS contentText,\n273\t '' AS snippet,\n274\t bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2) AS score\n275\t FROM sessions_fts\n276\t JOIN sessions s ON s.id = sessions_fts.rowid\n277\t WHERE sessions_fts MATCH ?\n278\t ORDER BY score\n279\t LIMIT ?\n280\t `)\n281\t .all(matchExpr, limit) as RawHitRow[];\n282\t\n283\t return rows.map((row) => ({\n284\t ...row,\n285\t snippet: makeRawSnippet(row.contentText, query, terms),\n286\t }));\n287\t}\n288\t\n289\tfunction searchByLike(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n290\t const conditions = [\"lower(m.content_text) LIKE ? ESCAPE '\\\\'\"];\n291\t const params: SqlParams = [`%${escapeLike(query.toLowerCase())}%`];\n292\t if (sessionUuid) {\n293\t conditions.push(\"m.session_uuid = ?\");\n294\t params.push(sessionUuid);\n295\t }\n296\t params.push(limit);\n297\t\n298\t const rows = db\n299\t .query<RawHitRow & { contentText: string }, typeof params>(`\n300\t SELECT\n301\t s.session_uuid AS sessionUuid,\n302\t s.title AS title,\n303\t s.summary_text AS summaryText,\n304\t s.cwd AS cwd,\n305\t s.started_at AS startedAt,\n306\t s.ended_at AS endedAt,\n307\t 'message' AS matchSource,\n308\t m.seq AS matchSeq,\n309\t m.role AS matchRole,\n310\t m.timestamp AS matchTimestamp,\n311\t m.content_text AS contentText\n312\t FROM messages m\n313\t JOIN sessions s ON s.id = m.session_id\n314\t WHERE ${conditions.join(\" AND \")}\n315\t ORDER BY s.started_at DESC, m.seq ASC\n316\t LIMIT ?\n317\t `)\n318\t .all(...params) as Array<RawHitRow & { contentText: string }>;\n319\t\n320\t return rows.map((row, index) => ({\n321\t ...row,\n322\t snippet: makeLikeSnippet(row.contentText, query),\n323\t // Negate the ordinal so LIKE rows share the \"lower is better\" polarity\n324\t // with bm25() scores; downstream rerank sorts on row metrics, but any\n325\t // code that touches this raw score won't see a sign mismatch.\n326\t score: -(index + 1),\n327\t }));\n328\t}\n329\t\n330\tfunction tableExists(db: Database, tableName: string): boolean {\n331\t const row = db\n332\t .query<unknown, [string]>(\"SELECT 1 FROM sqlite_master WHERE name = ? LIMIT 1\")\n333\t .get(tableName);\n334\t return Boolean(row);\n335\t}\n336\t\n337\t/**\n338\t * Build an FTS5 MATCH expression from already-tokenized terms. Each term is\n339\t * quoted and ANDed, giving us intersection semantics across CJK bigrams and\n340\t * non-CJK words alike.\n341\t */\n342\tfunction buildFtsMatch(terms: string[]): string {\n343\t return terms.map(quoteFtsTerm).join(\" AND \");\n344\t}\n345\t\n346\tfunction quoteFtsTerm(term: string): string {\n347\t // FTS5 treats unquoted * / ^ / NEAR / NOT / AND / OR as operators. Wrapping\n348\t // each term in double quotes neutralizes all of them (including *), and we\n349\t // escape internal quotes by doubling them. Bigrams stay bigrams.\n350\t const escaped = term.replaceAll('\"', '\"\"');\n351\t return `\"${escaped}\"`;\n352\t}\n353\t\n354\t// LIKE-path escape stays unchanged: only CJK single-character probes and\n355\t// empty-token queries fall through to this branch now.\n356\tfunction escapeLike(value: string): string {\n357\t return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n358\t}\n359\t\n360\tfunction makeLikeSnippet(content: string, query: string): string {\n361\t const lower = content.toLowerCase();\n362\t const target = query.toLowerCase();\n363\t const index = lower.indexOf(target);\n364\t if (index < 0) return content.slice(0, 160);\n365\t const start = Math.max(0, index - 40);\n366\t const end = Math.min(content.length, index + target.length + 80);\n367\t const prefix = start > 0 ? \"…\" : \"\";\n368\t const suffix = end < content.length ? \"…\" : \"\";\n369\t const snippet = content.slice(start, end);\n370\t // Re-scan the snippet slice and wrap every occurrence so the returned\n371\t // snippet agrees with FTS5's snippet() which highlights all matches.\n372\t const highlighted = wrapAllOccurrences(snippet, target);\n373\t return `${prefix}${highlighted}${suffix}`;\n374\t}\n375\t\n376\tfunction makeRawSnippet(content: string, query: string, terms: string[]): string {\n377\t const normalizedQuery = query.toLowerCase();\n378\t const lower = content.toLowerCase();\n379\t const phraseIndex = normalizedQuery ? lower.indexOf(normalizedQuery) : -1;\n380\t if (phraseIndex >= 0) {\n381\t return snippetAround(content, phraseIndex, query.length, [normalizedQuery]);\n382\t }\n383\t\n384\t const termLowers = uniqueNonEmpty(terms.map((term) => term.toLowerCase()));\n385\t const termHits = termLowers.flatMap((term) => collectTermHits(lower, term));\n386\t if (termHits.length === 0) return content.slice(0, 160);\n387\t\n388\t const bestWindow = termHits\n389\t .map((hit) => {\n390\t const start = Math.max(0, hit.index - 40);\n391\t const end = Math.min(content.length, hit.index + hit.length + 80);\n392\t return {\n393\t start,\n394\t end,\n395\t anchor: hit.index,\n396\t score: scoreSnippetWindow(lower.slice(start, end), termLowers),\n397\t };\n398\t })\n399\t .sort((left, right) => {\n400\t if (right.score !== left.score) return right.score - left.score;\n401\t return left.anchor - right.anchor;\n402\t })[0];\n403\t\n404\t return snippetWindow(content, bestWindow.start, bestWindow.end, termLowers);\n405\t}\n406\t\n407\tfunction snippetAround(content: string, index: number, length: number, needleLowers: string[]): string {\n408\t const start = Math.max(0, index - 40);\n409\t const end = Math.min(content.length, index + length + 80);\n410\t return snippetWindow(content, start, end, needleLowers);\n411\t}\n412\t\n413\tfunction snippetWindow(content: string, start: number, end: number, needleLowers: string[]): string {\n414\t const prefix = start > 0 ? \"…\" : \"\";\n415\t const suffix = end < content.length ? \"…\" : \"\";\n416\t const snippet = content.slice(start, end);\n417\t return `${prefix}${wrapAnyOccurrences(snippet, needleLowers)}${suffix}`;\n418\t}\n419\t\n420\tfunction collectTermHits(lower: string, termLower: string): Array<{ index: number; length: number }> {\n421\t const hits: Array<{ index: number; length: number }> = [];\n422\t let cursor = 0;\n423\t while (cursor < lower.length) {\n424\t const index = lower.indexOf(termLower, cursor);\n425\t if (index < 0) break;\n426\t hits.push({ index, length: termLower.length });\n427\t cursor = index + termLower.length;\n428\t }\n429\t return hits;\n430\t}\n431\t\n432\tfunction scoreSnippetWindow(lowerSnippet: string, termLowers: string[]): number {\n433\t let distinctTerms = 0;\n434\t let totalHits = 0;\n435\t let matchedChars = 0;\n436\t\n437\t for (const term of termLowers) {\n438\t const hits = collectTermHits(lowerSnippet, term).length;\n439\t if (hits > 0) distinctTerms += 1;\n440\t totalHits += hits;\n441\t matchedChars += hits * term.length;\n442\t }\n443\t\n444\t return distinctTerms * 1_000 + matchedChars * 10 + totalHits;\n445\t}\n446\t\n447\tfunction uniqueNonEmpty(values: string[]): string[] {\n448\t return [...new Set(values.filter(Boolean))];\n449\t}\n450\t\n451\tfunction wrapAnyOccurrences(haystack: string, needleLowers: string[]): string {\n452\t const needles = uniqueNonEmpty(needleLowers).sort((left, right) => right.length - left.length);\n453\t if (needles.length === 0) return haystack;\n454\t\n455\t const lower = haystack.toLowerCase();\n456\t const matches = needles\n457\t .flatMap((needle) => collectTermHits(lower, needle))\n458\t .sort((left, right) => {\n459\t if (left.index !== right.index) return left.index - right.index;\n460\t return right.length - left.length;\n461\t });\n462\t\n463\t const out: string[] = [];\n464\t let cursor = 0;\n465\t for (const match of matches) {\n466\t if (match.index < cursor) continue;\n467\t out.push(haystack.slice(cursor, match.index));\n468\t out.push(\"<mark>\");\n469\t out.push(haystack.slice(match.index, match.index + match.length));\n470\t out.push(\"</mark>\");\n471\t cursor = match.index + match.length;\n472\t }\n473\t out.push(haystack.slice(cursor));\n474\t return out.join(\"\");\n475\t}\n476\t\n477\tfunction wrapAllOccurrences(haystack: string, needleLower: string): string {\n478\t if (!needleLower) return haystack;\n479\t const out: string[] = [];\n480\t let cursor = 0;\n481\t const lower = haystack.toLowerCase();\n482\t while (cursor < haystack.length) {\n483\t const hit = lower.indexOf(needleLower, cursor);\n484\t if (hit < 0) {\n485\t out.push(haystack.slice(cursor));\n486\t break;\n487\t }\n488\t out.push(haystack.slice(cursor, hit));\n489\t out.push(\"<mark>\");\n490\t out.push(haystack.slice(hit, hit + needleLower.length));\n491\t out.push(\"</mark>\");\n492\t cursor = hit + needleLower.length;\n493\t }\n494\t return out.join(\"\");\n495\t}\n496\t\n497\t// Re-export for callers that still rely on the old helper name.\n498\texport function isCjkTerm(token: string): boolean {\n499\t return isCjkToken(token);\n500\t}\n501\t"}]},"uuid":"68c936ae-7864-4d20-9a61-b44023864ecf","timestamp":"2026-04-27T03:55:59.391Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","content":"import { Database } from \"bun:sqlite\";\nimport type { SQLQueryBindings } from \"bun:sqlite\";\nimport { statSync } from \"node:fs\";\nimport {\n getMessagesForPage,\n getMessagesForRange,\n getSessionRecord,\n getStatsCounts,\n getTopCwds,\n listSessions,\n openReadDb,\n} from \"./db\";\nimport { INDEX_VERSION } from \"./env\";\nimport { classifyQueryProfile, rerankHits } from \"./ranking\";\nimport type { RawHitRow } from \"./ranking\";\nimport { hasCjk, isCjkToken, queryTerms } from \"./tokenize\";\nimport type {\n CurrentSessionCandidate,\n FindResult,\n SessionListEntry,\n SessionListQuery,\n SessionRecord,\n StatsSummary,\n} from \"./types\";\n\nexport { classifyQueryProfile } from \"./ranking\";\ntype SqlParams = SQLQueryBindings[];\n\nexport function findSessions(\n dbPath: string,\n query: string,\n limit: number,\n): { query: string; results: FindResult[] } {\n const db = openReadDb(dbPath);\n const recallLimit = Math.max(limit * 12, 50);\n const rawRows = [\n ...searchMessageHits(db, query, recallLimit),\n ...searchSessionHits(db, query, recallLimit),\n ];\n const results = rerankHits(rawRows, query, limit);\n db.close();\n return { query, results };\n}\n\nexport function getMessageRange(\n dbPath: string,\n sessionUuid: string,\n options: { seq?: number; query?: string; before: number; after: number },\n): {\n session: SessionRecord;\n anchorSeq: number;\n rangeStartSeq: number;\n rangeEndSeq: number;\n messages: ReturnType<typeof getMessagesForRange>;\n} {\n const db = openReadDb(dbPath);\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n db.close();\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n}\n\nexport function getMessagePage(\n dbPath: string,\n sessionUuid: string,\n offset: number,\n limit: number,\n): {\n session: SessionRecord;\n offset: number;\n limit: number;\n totalCount: number;\n hasMore: boolean;\n messages: ReturnType<typeof getMessagesForPage>;\n} {\n const db = openReadDb(dbPath);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n db.close();\n return { session, offset, limit, totalCount, hasMore, messages };\n}\n\nexport function listSessionSummaries(\n dbPath: string,\n query: SessionListQuery,\n): { query: SessionListQuery; results: SessionListEntry[] } {\n const db = openReadDb(dbPath);\n const results = listSessions(db, query);\n db.close();\n return { query, results };\n}\n\nexport function getCurrentSessions(\n stateDbPath: string,\n cwd: string,\n limit: number,\n): { cwd: string; candidates: CurrentSessionCandidate[] } {\n const normalizedCwd = cwd.trim();\n if (!normalizedCwd) {\n return { cwd: normalizedCwd, candidates: [] };\n }\n\n const db = new Database(stateDbPath, { readonly: true });\n try {\n const candidates = db\n .query<CurrentSessionCandidate, [string, number]>(`\n SELECT\n id AS sessionUuid,\n title,\n cwd,\n rollout_path AS filePath,\n COALESCE(updated_at_ms, 0) AS updatedAtMs\n FROM threads\n WHERE cwd = ?\n ORDER BY updated_at_ms DESC\n LIMIT ?\n `)\n .all(normalizedCwd, limit) as CurrentSessionCandidate[];\n return { cwd: normalizedCwd, candidates };\n } finally {\n db.close();\n }\n}\n\nexport function collectStats(dbPath: string): StatsSummary {\n const db = openReadDb(dbPath);\n const counts = getStatsCounts(db);\n const topCwds = getTopCwds(db, 10);\n db.close();\n\n let dbSizeBytes = 0;\n try {\n dbSizeBytes = statSync(dbPath).size;\n } catch {\n dbSizeBytes = 0;\n }\n\n return {\n sessionCount: counts.sessionCount,\n messageCount: counts.messageCount,\n earliestStartedAt: counts.earliestStartedAt,\n latestEndedAt: counts.latestEndedAt,\n topCwds,\n indexVersion: INDEX_VERSION,\n dbPath,\n dbSizeBytes,\n lastSyncAt: counts.lastSyncAt,\n };\n}\n\nfunction resolveAnchorSeq(\n db: Database,\n sessionUuid: string,\n seq?: number,\n query?: string,\n): number {\n if (typeof seq === \"number\") {\n return seq;\n }\n\n if (query) {\n const best = searchTopHitInSession(db, sessionUuid, query);\n if (best && typeof best.matchSeq === \"number\") return best.matchSeq;\n }\n\n throw new Error(\"read-range requires explicit session_uuid plus either --seq or --query\");\n}\n\nfunction searchTopHitInSession(db: Database, sessionUuid: string, query: string): FindResult | null {\n const rows = searchMessageHits(db, query, 20, sessionUuid);\n const result = rerankHits(rows, query, 1)[0];\n return result ?? null;\n}\n\nfunction searchMessageHits(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n const normalized = query.trim();\n if (!normalized) return [];\n\n const terms = queryTerms(normalized);\n // Queries that degenerate to zero tokens (e.g. a single kanji dropped as\n // stop-word-like noise, or whitespace only) cannot hit the FTS index. Fall\n // back to a bounded LIKE scan so single-character CJK probes still work\n // even though they are discouraged.\n if (terms.length === 0) {\n if (hasCjk(normalized)) return searchByLike(db, normalized, limit, sessionUuid);\n return [];\n }\n\n return searchByFts(db, terms, limit, sessionUuid);\n}\n\nfunction searchSessionHits(db: Database, query: string, limit: number): RawHitRow[] {\n const normalized = query.trim();\n if (!normalized || !tableExists(db, \"sessions_fts\")) return [];\n\n const terms = queryTerms(normalized);\n if (terms.length === 0) return [];\n\n return searchSessionsByFts(db, normalized, terms, limit);\n}\n\nfunction searchByFts(\n db: Database,\n terms: string[],\n limit: number,\n sessionUuid?: string,\n): RawHitRow[] {\n const matchExpr = buildFtsMatch(terms);\n const conditions = [`messages_fts MATCH ?`];\n const params: SqlParams = [matchExpr];\n\n if (sessionUuid) {\n conditions.push(\"m.session_uuid = ?\");\n params.push(sessionUuid);\n }\n params.push(limit);\n\n return db\n .query<RawHitRow, typeof params>(`\n SELECT\n s.session_uuid AS sessionUuid,\n s.title AS title,\n s.summary_text AS summaryText,\n s.cwd AS cwd,\n s.started_at AS startedAt,\n s.ended_at AS endedAt,\n 'message' AS matchSource,\n m.seq AS matchSeq,\n m.role AS matchRole,\n m.timestamp AS matchTimestamp,\n m.content_text AS contentText,\n snippet(messages_fts, 0, '<mark>', '</mark>', '…', 16) AS snippet,\n bm25(messages_fts) AS score\n FROM messages_fts\n JOIN messages m ON m.id = messages_fts.rowid\n JOIN sessions s ON s.id = m.session_id\n WHERE ${conditions.join(\" AND \")}\n ORDER BY score\n LIMIT ?\n `)\n .all(...params) as RawHitRow[];\n}\n\nfunction searchSessionsByFts(\n db: Database,\n query: string,\n terms: string[],\n limit: number,\n): RawHitRow[] {\n const matchExpr = buildFtsMatch(terms);\n const rows = db\n .query<RawHitRow, [string, number]>(`\n SELECT\n s.session_uuid AS sessionUuid,\n s.title AS title,\n s.summary_text AS summaryText,\n s.cwd AS cwd,\n s.started_at AS startedAt,\n s.ended_at AS endedAt,\n 'session' AS matchSource,\n NULL AS matchSeq,\n 'session' AS matchRole,\n NULL AS matchTimestamp,\n s.title || char(10) || s.summary_text || char(10) || s.compact_text || char(10) || s.reasoning_summary_text AS contentText,\n '' AS snippet,\n bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2) AS score\n FROM sessions_fts\n JOIN sessions s ON s.id = sessions_fts.rowid\n WHERE sessions_fts MATCH ?\n ORDER BY score\n LIMIT ?\n `)\n .all(matchExpr, limit) as RawHitRow[];\n\n return rows.map((row) => ({\n ...row,\n snippet: makeRawSnippet(row.contentText, query, terms),\n }));\n}\n\nfunction searchByLike(db: Database, query: string, limit: number, sessionUuid?: string): RawHitRow[] {\n const conditions = [\"lower(m.content_text) LIKE ? ESCAPE '\\\\'\"];\n const params: SqlParams = [`%${escapeLike(query.toLowerCase())}%`];\n if (sessionUuid) {\n conditions.push(\"m.session_uuid = ?\");\n params.push(sessionUuid);\n }\n params.push(limit);\n\n const rows = db\n .query<RawHitRow & { contentText: string }, typeof params>(`\n SELECT\n s.session_uuid AS sessionUuid,\n s.title AS title,\n s.summary_text AS summaryText,\n s.cwd AS cwd,\n s.started_at AS startedAt,\n s.ended_at AS endedAt,\n 'message' AS matchSource,\n m.seq AS matchSeq,\n m.role AS matchRole,\n m.timestamp AS matchTimestamp,\n m.content_text AS contentText\n FROM messages m\n JOIN sessions s ON s.id = m.session_id\n WHERE ${conditions.join(\" AND \")}\n ORDER BY s.started_at DESC, m.seq ASC\n LIMIT ?\n `)\n .all(...params) as Array<RawHitRow & { contentText: string }>;\n\n return rows.map((row, index) => ({\n ...row,\n snippet: makeLikeSnippet(row.contentText, query),\n // Negate the ordinal so LIKE rows share the \"lower is better\" polarity\n // with bm25() scores; downstream rerank sorts on row metrics, but any\n // code that touches this raw score won't see a sign mismatch.\n score: -(index + 1),\n }));\n}\n\nfunction tableExists(db: Database, tableName: string): boolean {\n const row = db\n .query<unknown, [string]>(\"SELECT 1 FROM sqlite_master WHERE name = ? LIMIT 1\")\n .get(tableName);\n return Boolean(row);\n}\n\n/**\n * Build an FTS5 MATCH expression from already-tokenized terms. Each term is\n * quoted and ANDed, giving us intersection semantics across CJK bigrams and\n * non-CJK words alike.\n */\nfunction buildFtsMatch(terms: string[]): string {\n return terms.map(quoteFtsTerm).join(\" AND \");\n}\n\nfunction quoteFtsTerm(term: string): string {\n // FTS5 treats unquoted * / ^ / NEAR / NOT / AND / OR as operators. Wrapping\n // each term in double quotes neutralizes all of them (including *), and we\n // escape internal quotes by doubling them. Bigrams stay bigrams.\n const escaped = term.replaceAll('\"', '\"\"');\n return `\"${escaped}\"`;\n}\n\n// LIKE-path escape stays unchanged: only CJK single-character probes and\n// empty-token queries fall through to this branch now.\nfunction escapeLike(value: string): string {\n return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n}\n\nfunction makeLikeSnippet(content: string, query: string): string {\n const lower = content.toLowerCase();\n const target = query.toLowerCase();\n const index = lower.indexOf(target);\n if (index < 0) return content.slice(0, 160);\n const start = Math.max(0, index - 40);\n const end = Math.min(content.length, index + target.length + 80);\n const prefix = start > 0 ? \"…\" : \"\";\n const suffix = end < content.length ? \"…\" : \"\";\n const snippet = content.slice(start, end);\n // Re-scan the snippet slice and wrap every occurrence so the returned\n // snippet agrees with FTS5's snippet() which highlights all matches.\n const highlighted = wrapAllOccurrences(snippet, target);\n return `${prefix}${highlighted}${suffix}`;\n}\n\nfunction makeRawSnippet(content: string, query: string, terms: string[]): string {\n const normalizedQuery = query.toLowerCase();\n const lower = content.toLowerCase();\n const phraseIndex = normalizedQuery ? lower.indexOf(normalizedQuery) : -1;\n if (phraseIndex >= 0) {\n return snippetAround(content, phraseIndex, query.length, [normalizedQuery]);\n }\n\n const termLowers = uniqueNonEmpty(terms.map((term) => term.toLowerCase()));\n const termHits = termLowers.flatMap((term) => collectTermHits(lower, term));\n if (termHits.length === 0) return content.slice(0, 160);\n\n const bestWindow = termHits\n .map((hit) => {\n const start = Math.max(0, hit.index - 40);\n const end = Math.min(content.length, hit.index + hit.length + 80);\n return {\n start,\n end,\n anchor: hit.index,\n score: scoreSnippetWindow(lower.slice(start, end), termLowers),\n };\n })\n .sort((left, right) => {\n if (right.score !== left.score) return right.score - left.score;\n return left.anchor - right.anchor;\n })[0];\n\n return snippetWindow(content, bestWindow.start, bestWindow.end, termLowers);\n}\n\nfunction snippetAround(content: string, index: number, length: number, needleLowers: string[]): string {\n const start = Math.max(0, index - 40);\n const end = Math.min(content.length, index + length + 80);\n return snippetWindow(content, start, end, needleLowers);\n}\n\nfunction snippetWindow(content: string, start: number, end: number, needleLowers: string[]): string {\n const prefix = start > 0 ? \"…\" : \"\";\n const suffix = end < content.length ? \"…\" : \"\";\n const snippet = content.slice(start, end);\n return `${prefix}${wrapAnyOccurrences(snippet, needleLowers)}${suffix}`;\n}\n\nfunction collectTermHits(lower: string, termLower: string): Array<{ index: number; length: number }> {\n const hits: Array<{ index: number; length: number }> = [];\n let cursor = 0;\n while (cursor < lower.length) {\n const index = lower.indexOf(termLower, cursor);\n if (index < 0) break;\n hits.push({ index, length: termLower.length });\n cursor = index + termLower.length;\n }\n return hits;\n}\n\nfunction scoreSnippetWindow(lowerSnippet: string, termLowers: string[]): number {\n let distinctTerms = 0;\n let totalHits = 0;\n let matchedChars = 0;\n\n for (const term of termLowers) {\n const hits = collectTermHits(lowerSnippet, term).length;\n if (hits > 0) distinctTerms += 1;\n totalHits += hits;\n matchedChars += hits * term.length;\n }\n\n return distinctTerms * 1_000 + matchedChars * 10 + totalHits;\n}\n\nfunction uniqueNonEmpty(values: string[]): string[] {\n return [...new Set(values.filter(Boolean))];\n}\n\nfunction wrapAnyOccurrences(haystack: string, needleLowers: string[]): string {\n const needles = uniqueNonEmpty(needleLowers).sort((left, right) => right.length - left.length);\n if (needles.length === 0) return haystack;\n\n const lower = haystack.toLowerCase();\n const matches = needles\n .flatMap((needle) => collectTermHits(lower, needle))\n .sort((left, right) => {\n if (left.index !== right.index) return left.index - right.index;\n return right.length - left.length;\n });\n\n const out: string[] = [];\n let cursor = 0;\n for (const match of matches) {\n if (match.index < cursor) continue;\n out.push(haystack.slice(cursor, match.index));\n out.push(\"<mark>\");\n out.push(haystack.slice(match.index, match.index + match.length));\n out.push(\"</mark>\");\n cursor = match.index + match.length;\n }\n out.push(haystack.slice(cursor));\n return out.join(\"\");\n}\n\nfunction wrapAllOccurrences(haystack: string, needleLower: string): string {\n if (!needleLower) return haystack;\n const out: string[] = [];\n let cursor = 0;\n const lower = haystack.toLowerCase();\n while (cursor < haystack.length) {\n const hit = lower.indexOf(needleLower, cursor);\n if (hit < 0) {\n out.push(haystack.slice(cursor));\n break;\n }\n out.push(haystack.slice(cursor, hit));\n out.push(\"<mark>\");\n out.push(haystack.slice(hit, hit + needleLower.length));\n out.push(\"</mark>\");\n cursor = hit + needleLower.length;\n }\n return out.join(\"\");\n}\n\n// Re-export for callers that still rely on the old helper name.\nexport function isCjkTerm(token: string): boolean {\n return isCjkToken(token);\n}\n","numLines":501,"startLine":1,"totalLines":501}},"sourceToolAssistantUUID":"3761ce98-0b47-40b4-a74c-4c0103f62eea","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"}
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Either\n18\t // way, lower is \"better\" from the SQL side; we flip the sign during\n19\t // rerank so all bonuses stay positive and additive.\n20\t score: number;\n21\t}\n22\t\n23\texport interface QueryProfile {\n24\t normalizedQuery: string;\n25\t terms: string[];\n26\t isMultiTerm: boolean;\n27\t}\n28\t\n29\t/**\n30\t * Kept for backward compat with callers that still read `kind`. The v3\n31\t * scoring pipeline does not branch on kind anymore; it treats `isMultiTerm`\n32\t * as a continuous signal instead. Single-term queries are labelled \"broad\",\n33\t * everything else \"exact\" to preserve existing external tests.\n34\t */\n35\texport function classifyQueryProfile(query: string): QueryProfile & { kind: \"broad\" | \"exact\" } {\n36\t const normalizedQuery = query.trim().toLowerCase();\n37\t const terms = queryTerms(query);\n38\t const hasMultipleRawTokens = query.trim().split(/\\s+/).filter(Boolean).length >= 2;\n39\t const hasDigits = /\\d/.test(query);\n40\t const hasPathLikeToken = /[\\\\/._:-]/.test(query);\n41\t // \"exact\" historically meant: user gave us enough signal that we should\n42\t // trust phrase matches heavily. Keep that label, but compute it off the\n43\t // raw query rather than the tokenized terms so the category stays stable\n44\t // for CJK queries that bigram-explode into many tokens.\n45\t const kind: \"broad\" | \"exact\" = hasMultipleRawTokens || hasDigits || hasPathLikeToken\n46\t ? \"exact\"\n47\t : \"broad\";\n48\t return {\n49\t kind,\n50\t normalizedQuery,\n51\t terms,\n52\t isMultiTerm: hasMultipleRawTokens,\n53\t };\n54\t}\n55\t\n56\tinterface SessionAggregate {\n57\t row: RawHitRow;\n58\t bestRow: RawHitRow;\n59\t bestDisplayRow: RawHitRow;\n60\t bestRowSignalScore: number;\n61\t bestDisplayRowSignalScore: number;\n62\t hitCount: number;\n63\t sessionHitCount: number;\n64\t userHitCount: number;\n65\t titlePhrase: boolean;\n66\t titleTermHits: number;\n67\t cwdTermHits: number;\n68\t}\n69\t\n70\texport function rerankHits(rows: RawHitRow[], query: string, limit: number): FindResult[] {\n71\t const profile = classifyQueryProfile(query);\n72\t const now = Date.now();\n73\t const grouped = new Map<string, SessionAggregate>();\n74\t\n75\t for (const row of rows) {\n76\t const signalScore = scoreRow(row, profile);\n77\t const existing = grouped.get(row.sessionUuid);\n78\t const rowTitleLower = row.title.toLowerCase();\n79\t const rowCwdLower = row.cwd.toLowerCase();\n80\t const titlePhrase = profile.normalizedQuery.length > 0\n81\t && rowTitleLower.includes(profile.normalizedQuery);\n82\t const titleTermHits = countMatchedTerms(rowTitleLower, profile.terms);\n83\t const cwdTermHits = countMatchedTerms(rowCwdLower, profile.terms);\n84\t\n85\t if (!existing) {\n86\t grouped.set(row.sessionUuid, {\n87\t row,\n88\t bestRow: row,\n89\t bestDisplayRow: row,\n90\t bestRowSignalScore: signalScore,\n91\t bestDisplayRowSignalScore: signalScore,\n92\t hitCount: 1,\n93\t sessionHitCount: row.matchSource === \"session\" ? 1 : 0,\n94\t userHitCount: row.matchRole === \"user\" ? 1 : 0,\n95\t titlePhrase,\n96\t titleTermHits,\n97\t cwdTermHits,\n98\t });\n99\t continue;\n100\t }\n101\t\n102\t existing.hitCount += 1;\n103\t if (row.matchSource === \"session\") existing.sessionHitCount += 1;\n104\t if (row.matchRole === \"user\") existing.userHitCount += 1;\n105\t existing.titlePhrase = existing.titlePhrase || titlePhrase;\n106\t existing.titleTermHits = Math.max(existing.titleTermHits, titleTermHits);\n107\t existing.cwdTermHits = Math.max(existing.cwdTermHits, cwdTermHits);\n108\t if (signalScore > existing.bestRowSignalScore) {\n109\t existing.bestRow = row;\n110\t existing.bestRowSignalScore = signalScore;\n111\t }\n112\t if (shouldUseDisplayRow(existing.bestDisplayRow, row, existing.bestDisplayRowSignalScore, signalScore)) {\n113\t existing.bestDisplayRow = row;\n114\t existing.bestDisplayRowSignalScore = signalScore;\n115\t }\n116\t }\n117\t\n118\t const ranked = Array.from(grouped.values())\n119\t .map((aggregate) => ({\n120\t aggregate,\n121\t sessionScore: scoreSession(aggregate, profile, now),\n122\t }))\n123\t .sort((left, right) => {\n124\t if (right.sessionScore !== left.sessionScore) {\n125\t return right.sessionScore - left.sessionScore;\n126\t }\n127\t return getTimestamp(right.aggregate.row.endedAt) - getTimestamp(left.aggregate.row.endedAt);\n128\t });\n129\t\n130\t return ranked.slice(0, limit).map(({ aggregate, sessionScore }, index) => ({\n131\t rank: index + 1,\n132\t sessionUuid: aggregate.row.sessionUuid,\n133\t title: aggregate.row.title,\n134\t summaryText: aggregate.row.summaryText,\n135\t cwd: aggregate.row.cwd,\n136\t startedAt: aggregate.row.startedAt,\n137\t endedAt: aggregate.row.endedAt,\n138\t matchCount: aggregate.hitCount,\n139\t matchSource: aggregate.bestDisplayRow.matchSource,\n140\t matchSeq: aggregate.bestDisplayRow.matchSeq,\n141\t matchRole: aggregate.bestDisplayRow.matchRole,\n142\t matchTimestamp: aggregate.bestDisplayRow.matchTimestamp,\n143\t score: sessionScore,\n144\t snippet: aggregate.bestDisplayRow.snippet,\n145\t }));\n146\t}\n147\t\n148\tfunction shouldUseDisplayRow(\n149\t current: RawHitRow,\n150\t candidate: RawHitRow,\n151\t currentScore: number,\n152\t candidateScore: number,\n153\t): boolean {\n154\t if (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\n155\t if (candidate.matchSource !== current.matchSource) return false;\n156\t return candidateScore > currentScore;\n157\t}\n158\t\n159\t/**\n160\t * Score a single FTS/LIKE row. Higher is better. The only signals we trust\n161\t * at row-level are:\n162\t * 1. The normalized FTS bm25 score (flipped so higher=better).\n163\t * 2. Whether the full query phrase appears verbatim in the content.\n164\t * 3. User-message bump (user-authored content is usually the search intent).\n165\t */\n166\tfunction scoreRow(row: RawHitRow, profile: QueryProfile): number {\n167\t const normalizedBm25 = -row.score; // higher is better now\n168\t const contentLower = row.contentText.toLowerCase();\n169\t const contentPhrase = profile.normalizedQuery.length > 0\n170\t && contentLower.includes(profile.normalizedQuery);\n171\t const termCoverage = countMatchedTerms(contentLower, profile.terms);\n172\t\n173\t return normalizedBm25\n174\t + (contentPhrase ? 8 : 0)\n175\t + termCoverage * 2\n176\t + (row.matchSource === \"message\" ? 4 : 0)\n177\t + (row.matchRole === \"user\" ? 2 : 0);\n178\t}\n179\t\n180\t/**\n181\t * Score a whole session. Combines the best row's signal score with session\n182\t * metadata signals (title, cwd, user-authored evidence, recency) so that a\n183\t * session whose raw FTS match is weaker but whose title/cwd strongly reflect\n184\t * the query can still win.\n185\t */\n186\tfunction scoreSession(aggregate: SessionAggregate, profile: QueryProfile, now: number): number {\n187\t const recencyBonus = recencyDecay(aggregate.row.endedAt, now);\n188\t\n189\t return aggregate.bestRowSignalScore\n190\t + (aggregate.titlePhrase ? 30 : 0)\n191\t + aggregate.titleTermHits * 10\n192\t + aggregate.cwdTermHits * 18\n193\t + Math.min(aggregate.userHitCount, 3) * 4\n194\t + Math.min(aggregate.sessionHitCount, 2) * 2\n195\t + Math.min(aggregate.hitCount, 6) * 1.5\n196\t + recencyBonus;\n197\t}\n198\t\n199\t/**\n200\t * Linear decay over a 120-day window. Anything older contributes nothing.\n201\t * The 0.15-per-day factor means today's session gets +18, yesterday +17.85,\n202\t * a month ago +13.5, which is meaningful against title-boost scale but does\n203\t * not dominate genuine content matches.\n204\t */\n205\tfunction recencyDecay(endedAt: string, now: number): number {\n206\t const ts = Date.parse(endedAt);\n207\t if (Number.isNaN(ts)) return 0;\n208\t const days = Math.max(0, (now - ts) / (1000 * 60 * 60 * 24));\n209\t return Math.max(0, 18 - days * 0.15);\n210\t}\n211\t\n212\tfunction countMatchedTerms(haystack: string, terms: string[]): number {\n213\t let matched = 0;\n214\t for (const term of terms) {\n215\t if (haystack.includes(term)) matched += 1;\n216\t }\n217\t return matched;\n218\t}\n219\t\n220\tfunction getTimestamp(iso: string): number {\n221\t const timestamp = Date.parse(iso);\n222\t return Number.isNaN(timestamp) ? 0 : timestamp;\n223\t}\n224\t"}]},"uuid":"f6e84a40-7cd1-45a6-a257-f9413069d465","timestamp":"2026-04-27T03:56:24.933Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/ranking.ts","content":"import type { FindMatchRole, FindResult, MatchSource } from \"./types\";\nimport { queryTerms } from \"./tokenize\";\n\nexport interface RawHitRow {\n sessionUuid: string;\n title: string;\n summaryText: string;\n cwd: string;\n startedAt: string;\n endedAt: string;\n matchSource: MatchSource;\n matchSeq: number | null;\n matchRole: FindMatchRole;\n matchTimestamp: string | null;\n contentText: string;\n snippet: string;\n // FTS path: negative bm25(). LIKE path: a small negative ordinal. Either\n // way, lower is \"better\" from the SQL side; we flip the sign during\n // rerank so all bonuses stay positive and additive.\n score: number;\n}\n\nexport interface QueryProfile {\n normalizedQuery: string;\n terms: string[];\n isMultiTerm: boolean;\n}\n\n/**\n * Kept for backward compat with callers that still read `kind`. The v3\n * scoring pipeline does not branch on kind anymore; it treats `isMultiTerm`\n * as a continuous signal instead. Single-term queries are labelled \"broad\",\n * everything else \"exact\" to preserve existing external tests.\n */\nexport function classifyQueryProfile(query: string): QueryProfile & { kind: \"broad\" | \"exact\" } {\n const normalizedQuery = query.trim().toLowerCase();\n const terms = queryTerms(query);\n const hasMultipleRawTokens = query.trim().split(/\\s+/).filter(Boolean).length >= 2;\n const hasDigits = /\\d/.test(query);\n const hasPathLikeToken = /[\\\\/._:-]/.test(query);\n // \"exact\" historically meant: user gave us enough signal that we should\n // trust phrase matches heavily. Keep that label, but compute it off the\n // raw query rather than the tokenized terms so the category stays stable\n // for CJK queries that bigram-explode into many tokens.\n const kind: \"broad\" | \"exact\" = hasMultipleRawTokens || hasDigits || hasPathLikeToken\n ? \"exact\"\n : \"broad\";\n return {\n kind,\n normalizedQuery,\n terms,\n isMultiTerm: hasMultipleRawTokens,\n };\n}\n\ninterface SessionAggregate {\n row: RawHitRow;\n bestRow: RawHitRow;\n bestDisplayRow: RawHitRow;\n bestRowSignalScore: number;\n bestDisplayRowSignalScore: number;\n hitCount: number;\n sessionHitCount: number;\n userHitCount: number;\n titlePhrase: boolean;\n titleTermHits: number;\n cwdTermHits: number;\n}\n\nexport function rerankHits(rows: RawHitRow[], query: string, limit: number): FindResult[] {\n const profile = classifyQueryProfile(query);\n const now = Date.now();\n const grouped = new Map<string, SessionAggregate>();\n\n for (const row of rows) {\n const signalScore = scoreRow(row, profile);\n const existing = grouped.get(row.sessionUuid);\n const rowTitleLower = row.title.toLowerCase();\n const rowCwdLower = row.cwd.toLowerCase();\n const titlePhrase = profile.normalizedQuery.length > 0\n && rowTitleLower.includes(profile.normalizedQuery);\n const titleTermHits = countMatchedTerms(rowTitleLower, profile.terms);\n const cwdTermHits = countMatchedTerms(rowCwdLower, profile.terms);\n\n if (!existing) {\n grouped.set(row.sessionUuid, {\n row,\n bestRow: row,\n bestDisplayRow: row,\n bestRowSignalScore: signalScore,\n bestDisplayRowSignalScore: signalScore,\n hitCount: 1,\n sessionHitCount: row.matchSource === \"session\" ? 1 : 0,\n userHitCount: row.matchRole === \"user\" ? 1 : 0,\n titlePhrase,\n titleTermHits,\n cwdTermHits,\n });\n continue;\n }\n\n existing.hitCount += 1;\n if (row.matchSource === \"session\") existing.sessionHitCount += 1;\n if (row.matchRole === \"user\") existing.userHitCount += 1;\n existing.titlePhrase = existing.titlePhrase || titlePhrase;\n existing.titleTermHits = Math.max(existing.titleTermHits, titleTermHits);\n existing.cwdTermHits = Math.max(existing.cwdTermHits, cwdTermHits);\n if (signalScore > existing.bestRowSignalScore) {\n existing.bestRow = row;\n existing.bestRowSignalScore = signalScore;\n }\n if (shouldUseDisplayRow(existing.bestDisplayRow, row, existing.bestDisplayRowSignalScore, signalScore)) {\n existing.bestDisplayRow = row;\n existing.bestDisplayRowSignalScore = signalScore;\n }\n }\n\n const ranked = Array.from(grouped.values())\n .map((aggregate) => ({\n aggregate,\n sessionScore: scoreSession(aggregate, profile, now),\n }))\n .sort((left, right) => {\n if (right.sessionScore !== left.sessionScore) {\n return right.sessionScore - left.sessionScore;\n }\n return getTimestamp(right.aggregate.row.endedAt) - getTimestamp(left.aggregate.row.endedAt);\n });\n\n return ranked.slice(0, limit).map(({ aggregate, sessionScore }, index) => ({\n rank: index + 1,\n sessionUuid: aggregate.row.sessionUuid,\n title: aggregate.row.title,\n summaryText: aggregate.row.summaryText,\n cwd: aggregate.row.cwd,\n startedAt: aggregate.row.startedAt,\n endedAt: aggregate.row.endedAt,\n matchCount: aggregate.hitCount,\n matchSource: aggregate.bestDisplayRow.matchSource,\n matchSeq: aggregate.bestDisplayRow.matchSeq,\n matchRole: aggregate.bestDisplayRow.matchRole,\n matchTimestamp: aggregate.bestDisplayRow.matchTimestamp,\n score: sessionScore,\n snippet: aggregate.bestDisplayRow.snippet,\n }));\n}\n\nfunction shouldUseDisplayRow(\n current: RawHitRow,\n candidate: RawHitRow,\n currentScore: number,\n candidateScore: number,\n): boolean {\n if (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\n if (candidate.matchSource !== current.matchSource) return false;\n return candidateScore > currentScore;\n}\n\n/**\n * Score a single FTS/LIKE row. Higher is better. The only signals we trust\n * at row-level are:\n * 1. The normalized FTS bm25 score (flipped so higher=better).\n * 2. Whether the full query phrase appears verbatim in the content.\n * 3. User-message bump (user-authored content is usually the search intent).\n */\nfunction scoreRow(row: RawHitRow, profile: QueryProfile): number {\n const normalizedBm25 = -row.score; // higher is better now\n const contentLower = row.contentText.toLowerCase();\n const contentPhrase = profile.normalizedQuery.length > 0\n && contentLower.includes(profile.normalizedQuery);\n const termCoverage = countMatchedTerms(contentLower, profile.terms);\n\n return normalizedBm25\n + (contentPhrase ? 8 : 0)\n + termCoverage * 2\n + (row.matchSource === \"message\" ? 4 : 0)\n + (row.matchRole === \"user\" ? 2 : 0);\n}\n\n/**\n * Score a whole session. Combines the best row's signal score with session\n * metadata signals (title, cwd, user-authored evidence, recency) so that a\n * session whose raw FTS match is weaker but whose title/cwd strongly reflect\n * the query can still win.\n */\nfunction scoreSession(aggregate: SessionAggregate, profile: QueryProfile, now: number): number {\n const recencyBonus = recencyDecay(aggregate.row.endedAt, now);\n\n return aggregate.bestRowSignalScore\n + (aggregate.titlePhrase ? 30 : 0)\n + aggregate.titleTermHits * 10\n + aggregate.cwdTermHits * 18\n + Math.min(aggregate.userHitCount, 3) * 4\n + Math.min(aggregate.sessionHitCount, 2) * 2\n + Math.min(aggregate.hitCount, 6) * 1.5\n + recencyBonus;\n}\n\n/**\n * Linear decay over a 120-day window. Anything older contributes nothing.\n * The 0.15-per-day factor means today's session gets +18, yesterday +17.85,\n * a month ago +13.5, which is meaningful against title-boost scale but does\n * not dominate genuine content matches.\n */\nfunction recencyDecay(endedAt: string, now: number): number {\n const ts = Date.parse(endedAt);\n if (Number.isNaN(ts)) return 0;\n const days = Math.max(0, (now - ts) / (1000 * 60 * 60 * 24));\n return Math.max(0, 18 - days * 0.15);\n}\n\nfunction countMatchedTerms(haystack: string, terms: string[]): number {\n let matched = 0;\n for (const term of terms) {\n if (haystack.includes(term)) matched += 1;\n }\n return matched;\n}\n\nfunction getTimestamp(iso: string): number {\n const timestamp = Date.parse(iso);\n return Number.isNaN(timestamp) ? 0 : timestamp;\n}\n","numLines":224,"startLine":1,"totalLines":224}},"sourceToolAssistantUUID":"6e2337b2-5b9a-4d7a-a785-bb51308ad895","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"b52c21a8-176f-469e-b29c-59394212ba7a","isSidechain":false,"promptId":"26a53c39-f922-4d6c-a4e1-ab3d2929d86a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XWWgpkz6BLcAqvfJvXAvL4","type":"tool_result","content":"5 matches in 1F:\n\n[file] query.test.ts (5):\n 295: expect(found.results[0]?.matchSource).toBe(\"session\");\n 300: test(\"session-level fields have explicit ranking weights\", () => {\n 362: test(\"sync indexes compacted handoff text for session-level recall\", async ()...\n 388: expect(found.results[0]?.matchSource).toBe(\"session\");\n 392: test(\"session-level snippet prefers the window with denser query term coverag...\n\n---ranking tests---\ncompare-eval-batches.ts\ncompare.test.ts\ncompare.ts\nmanual-eval-core.test.ts\nmanual-eval-core.ts\nmanual-queries.json\nrun-manual-eval.ts\n---bench---\n[rerun: b3]","is_error":false}]},"uuid":"9c87d696-f709-4106-8a8c-6c8580d80813","timestamp":"2026-04-27T03:56:26.877Z","toolUseResult":{"stdout":"5 matches in 1F:\n\n[file] query.test.ts (5):\n 295: expect(found.results[0]?.matchSource).toBe(\"session\");\n 300: test(\"session-level fields have explicit ranking weights\", () => {\n 362: test(\"sync indexes compacted handoff text for session-level recall\", async ()...\n 388: expect(found.results[0]?.matchSource).toBe(\"session\");\n 392: test(\"session-level snippet prefers the window with denser query term coverag...\n\n---ranking tests---\ncompare-eval-batches.ts\ncompare.test.ts\ncompare.ts\nmanual-eval-core.test.ts\nmanual-eval-core.ts\nmanual-queries.json\nrun-manual-eval.ts\n---bench---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"b52c21a8-176f-469e-b29c-59394212ba7a","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main"}
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{"parentUuid":"721251da-32a7-46b9-ac50-5886254a772e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01UG23ZQHP3SD3PXWSDSSK5H","type":"message","role":"assistant","content":[{"type":"text","text":"进入 plan mode。先用 Explore 把还没核实的点（DB 打开/关闭路径、CLI 对 `current` 的错误处理面、现有 lock 与 mixed-match 测试结构）摸清楚，然后再写 plan。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4126,"cache_read_input_tokens":71283,"output_tokens":1794,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4126},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":1794,"cache_read_input_tokens":71283,"cache_creation_input_tokens":4126,"cache_creation":{"ephemeral_5m_input_tokens":4126,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"bba8d384-78a2-4b57-8ad0-d00f9eadea2a","timestamp":"2026-04-27T03:58:06.064Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"bba8d384-78a2-4b57-8ad0-d00f9eadea2a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01UG23ZQHP3SD3PXWSDSSK5H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011YAUGDZpnmHJKWz4dTRiVQ","name":"Agent","input":{"description":"Explore DB open/close and CLI error path","subagent_type":"Explore","prompt":"仓库根目录是 /Users/envvar/work/repos/cxs（一个 Bun + TypeScript 写的本地 Codex session 检索 CLI）。\n\n我正在为一个代码质量修复 PR 写实施计划。请帮我精确摸清以下几个点，方便我写 plan。请只读，不要改任何文件。\n\n## 1. DB 打开/关闭抽象\n\n打开 db.ts，找出：\n- `openReadDb(dbPath)` 的实现（它如何建立 `Database`、是否设置 busy timeout、是否设置 readonly 等）\n- 是否还有 `openWriteDb` / 类似的写入入口\n- 是否有现成的 `withReadDb` / `withDb` 这样自动 close 的封装可复用；如果有，写出函数签名和文件行号\n- `getSessionRecord`、`getMessagesForRange`、`getMessagesForPage`、`listSessions`、`getStatsCounts`、`getTopCwds` 是否假设传入的 db 是已开的\n\n请给出函数签名 + 行号。\n\n## 2. CLI `current` 命令的错误处理面\n\n打开 cli.ts，找到 `current` 子命令注册的位置，告诉我：\n- 它怎么调用 query 层的 `getCurrentSessions`\n- 调用结果怎么打印（plain text vs `--json`）\n- 调用 throw 时 CLI 怎么处理（是直接冒泡成 stderr？有没有 try/catch？）\n- 是否其他子命令有标准的 \"structured error in --json mode\" 模式可以参考\n\n把关键行号摘出来。\n\n## 3. 现有 sync lock 测试\n\n打开 indexer.test.ts，找出：\n- 已有的 lock 相关测试用例的 `test(...)` 名字\n- 是否已经在测 stale lock 清理\n- 它们是怎么伪造 stale lock 文件的（手动 writeFile？mock pid？）\n\n把每个相关测试的简短描述 + 行号给我，让我知道在哪种风格里加新测试。\n\n## 4. 现有 mixed match 测试与 ranking 测试\n\n打开 query.test.ts，找出：\n- 涉及 `matchSource: \"session\"` 的测试\n- 是否已经有 \"同 session 同时含 message 命中 + session 命中\" 的对照测试\n- 测试是怎么组装数据的（是直接调 `findSessions`？还是先 sync 真实文件？还是直接 insert 到 DB？）\n\n把相关 test 名字 + 行号 + 简短数据组装方式列出来。\n\n## 5. types.ts 中相关类型\n\n简短列出 `MatchSource`、`FindMatchRole`、`FindResult`、`CurrentSessionCandidate`、`SessionListEntry` 的定义（行号 + 一行关键字段）。\n\n## 输出格式\n\n按 1/2/3/4/5 分节，每节列证据（文件路径 + 行号 + 关键代码片段或函数签名）。不要给修改建议，只要事实。控制在 400 词以内。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":4126,"cache_read_input_tokens":71283,"output_tokens":1794,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4126},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":1794,"cache_read_input_tokens":71283,"cache_creation_input_tokens":4126,"cache_creation":{"ephemeral_5m_input_tokens":4126,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"4f32c6c7-8621-4256-bf57-52b90775ffaf","timestamp":"2026-04-27T03:58:24.181Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"4f32c6c7-8621-4256-bf57-52b90775ffaf","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_011YAUGDZpnmHJKWz4dTRiVQ","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"c5577db3-7450-4c25-982e-3d80d53e04a6","timestamp":"2026-04-27T03:58:24.222Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"4f32c6c7-8621-4256-bf57-52b90775ffaf","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011YAUGDZpnmHJKWz4dTRiVQ","type":"tool_result","content":[{"type":"text","text":"完美。现在我有了所有需要的信息。让我准备最终的报告。\n\n## 精确摸清报告\n\n### 1. DB 打开/关闭抽象\n\n**文件：/Users/envvar/work/repos/cxs/db.ts**\n\n- **`openReadDb(dbPath: string): Database`** (行 22-32)\n ```typescript\n export function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n }\n ```\n\n- **`openWriteDb(dbPath: string): Database`** (行 34-43)\n ```typescript\n export function openWriteDb(dbPath: string): Database {\n const db = new Database(dbPath);\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA journal_mode=WAL\");\n db.run(\"PRAGMA synchronous=NORMAL\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n db.run(\"PRAGMA foreign_keys=ON\");\n ensureSchema(db);\n return db;\n }\n ```\n\n- **自动关闭封装**：不存在 `withReadDb` / `withWriteDb` 这样的通用包装。每个 query 函数手动调用 `openReadDb()` + `db.close()`（见 query.ts 第 34-41 行的 `findSessions` 范例），`getCurrentSessions` 用 try/finally 模式（query.ts 111-130）。\n\n- **数据读取函数**（都假设传入已打开的 db）：\n - `getSessionRecord(db, sessionUuid)` 行 299\n - `getMessagesForRange(db, sessionUuid, startSeq, endSeq)` 行 331\n - `getMessagesForPage(db, sessionUuid, offset, limit)` 行 353\n - `listSessions(db, query)` 行 376\n - `getStatsCounts(db)` 行 417\n - `getTopCwds(db, limit)` 行 444\n\n---\n\n### 2. CLI `current` 命令的错误处理\n\n**文件：/Users/envvar/work/repos/cxs/cli.ts**\n\n- **注册位置**：行 34-53\n ```typescript\n program\n .command(\"current\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n ```\n\n- **调用方式**：直接调用 `getCurrentSessions()`（行 47），无中间 try/catch，任何异常直接冒泡到 CLI runner（导致 stderr 输出）。\n\n- **--json 模式**：行 48-50，直接 `console.log(JSON.stringify(result, null, 2))`；没有结构化错误处理。\n\n- **参考模式**：`sync` 命令（行 62-95）有标准的 \"structured error in --json mode\" 模式 — catch `SyncError` 或 `SyncLockTimeoutError`，然后 JSON 输出 error 对象，设置 `process.exitCode = 1`。\n\n---\n\n### 3. 现有 sync lock 测试\n\n**文件：/Users/envvar/work/repos/cxs/indexer.test.ts**\n\n- **已有 lock 相关测试**：\n 1. `\"waits for an existing sync writer lock before opening the database\"` (行 62-86)\n - 用 `spawn + writeFileSync` 伪造 lock 文件，持有 350ms\n - 验证 sync 等待 lock 释放再继续（line 81）\n\n 2. `\"removes stale sync writer locks from dead pids before proceeding\"` (行 88-114)\n - 直接 `writeFileSync` 伪造 stale lock 文件，pid=999999（行 105-107）\n - 验证 sync 清理后继续（line 113 检查 lock 文件不存在）\n\n- **伪造方式**：手动 `writeFileSync` JSON 格式：`{ pid, createdAt }` (行 105-108)\n\n---\n\n### 4. 现有 mixed match 和 ranking 测试\n\n**文件：/Users/envvar/work/repos/cxs/query.test.ts**\n\n- **`matchSource: \"session\"` 相关测试**：\n 1. 行 250-298：`\"find can recall session title even when no message contains the query\"`\n - 直接 `openWriteDb + replaceSession` 插入 DB（无 sync）\n - 验证 `matchSource === \"session\"` 且 `matchSeq === null`\n\n 2. 行 300-360：`\"session-level fields have explicit ranking weights\"`\n - 对标 title / compact_text / summary_text / reasoning_summary_text 字段分别测 ranking\n - 数据组装：`openWriteDb + replaceSession` 直接插入\n\n 3. 行 362-390：`\"sync indexes compacted handoff text for session-level recall\"`\n - 用 `syncSessions` 真实 sync，验证 `matchSource === \"session\"`\n\n 4. 行 392-433：`\"session-level snippet prefers the window with denser query term coverage\"`\n - `openWriteDb + replaceSession` 直接插入\n - 验证 snippet 选择密集窗口\n\n- **同时含 message 和 session 命中对照**：未见明确的\"同 session 同时含两个 matchSource 的结果\"对照测试。\n\n---\n\n### 5. types.ts 相关类型定义\n\n**文件：/Users/envvar/work/repos/cxs/types.ts**\n\n| 类型 | 行号 | 关键字段 |\n|------|------|---------|\n| `MatchSource` | 2 | `\"message\" \\| \"session\"` |\n| `FindMatchRole` | 3 | `MessageRole \\| \"session\"` |\n| `FindResult` | 58-73 | `rank, sessionUuid, matchSource, matchSeq, matchRole, score, snippet` |\n| `CurrentSessionCandidate` | 95-101 | `sessionUuid, title, cwd, filePath, updatedAtMs` |\n| `SessionListEntry` | 85-93 | `sessionUuid, title, summaryText, cwd, startedAt, endedAt, messageCount` |"}]}]},"uuid":"2b3909a9-569c-4632-8094-deac554def63","timestamp":"2026-04-27T03:59:01.773Z","toolUseResult":{"status":"completed","prompt":"仓库根目录是 /Users/envvar/work/repos/cxs（一个 Bun + TypeScript 写的本地 Codex session 检索 CLI）。\n\n我正在为一个代码质量修复 PR 写实施计划。请帮我精确摸清以下几个点，方便我写 plan。请只读，不要改任何文件。\n\n## 1. DB 打开/关闭抽象\n\n打开 db.ts，找出：\n- `openReadDb(dbPath)` 的实现（它如何建立 `Database`、是否设置 busy timeout、是否设置 readonly 等）\n- 是否还有 `openWriteDb` / 类似的写入入口\n- 是否有现成的 `withReadDb` / `withDb` 这样自动 close 的封装可复用；如果有，写出函数签名和文件行号\n- `getSessionRecord`、`getMessagesForRange`、`getMessagesForPage`、`listSessions`、`getStatsCounts`、`getTopCwds` 是否假设传入的 db 是已开的\n\n请给出函数签名 + 行号。\n\n## 2. CLI `current` 命令的错误处理面\n\n打开 cli.ts，找到 `current` 子命令注册的位置，告诉我：\n- 它怎么调用 query 层的 `getCurrentSessions`\n- 调用结果怎么打印（plain text vs `--json`）\n- 调用 throw 时 CLI 怎么处理（是直接冒泡成 stderr？有没有 try/catch？）\n- 是否其他子命令有标准的 \"structured error in --json mode\" 模式可以参考\n\n把关键行号摘出来。\n\n## 3. 现有 sync lock 测试\n\n打开 indexer.test.ts，找出：\n- 已有的 lock 相关测试用例的 `test(...)` 名字\n- 是否已经在测 stale lock 清理\n- 它们是怎么伪造 stale lock 文件的（手动 writeFile？mock pid？）\n\n把每个相关测试的简短描述 + 行号给我，让我知道在哪种风格里加新测试。\n\n## 4. 现有 mixed match 测试与 ranking 测试\n\n打开 query.test.ts，找出：\n- 涉及 `matchSource: \"session\"` 的测试\n- 是否已经有 \"同 session 同时含 message 命中 + session 命中\" 的对照测试\n- 测试是怎么组装数据的（是直接调 `findSessions`？还是先 sync 真实文件？还是直接 insert 到 DB？）\n\n把相关 test 名字 + 行号 + 简短数据组装方式列出来。\n\n## 5. types.ts 中相关类型\n\n简短列出 `MatchSource`、`FindMatchRole`、`FindResult`、`CurrentSessionCandidate`、`SessionListEntry` 的定义（行号 + 一行关键字段）。\n\n## 输出格式\n\n按 1/2/3/4/5 分节，每节列证据（文件路径 + 行号 + 关键代码片段或函数签名）。不要给修改建议，只要事实。控制在 400 词以内。","agentId":"a8c86d5a4d4d9ed64","agentType":"Explore","content":[{"type":"text","text":"完美。现在我有了所有需要的信息。让我准备最终的报告。\n\n## 精确摸清报告\n\n### 1. DB 打开/关闭抽象\n\n**文件：/Users/envvar/work/repos/cxs/db.ts**\n\n- **`openReadDb(dbPath: string): Database`** (行 22-32)\n ```typescript\n export function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n }\n ```\n\n- **`openWriteDb(dbPath: string): Database`** (行 34-43)\n ```typescript\n export function openWriteDb(dbPath: string): Database {\n const db = new Database(dbPath);\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`); // 5000ms\n db.run(\"PRAGMA journal_mode=WAL\");\n db.run(\"PRAGMA synchronous=NORMAL\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n db.run(\"PRAGMA foreign_keys=ON\");\n ensureSchema(db);\n return db;\n }\n ```\n\n- **自动关闭封装**：不存在 `withReadDb` / `withWriteDb` 这样的通用包装。每个 query 函数手动调用 `openReadDb()` + `db.close()`（见 query.ts 第 34-41 行的 `findSessions` 范例），`getCurrentSessions` 用 try/finally 模式（query.ts 111-130）。\n\n- **数据读取函数**（都假设传入已打开的 db）：\n - `getSessionRecord(db, sessionUuid)` 行 299\n - `getMessagesForRange(db, sessionUuid, startSeq, endSeq)` 行 331\n - `getMessagesForPage(db, sessionUuid, offset, limit)` 行 353\n - `listSessions(db, query)` 行 376\n - `getStatsCounts(db)` 行 417\n - `getTopCwds(db, limit)` 行 444\n\n---\n\n### 2. CLI `current` 命令的错误处理\n\n**文件：/Users/envvar/work/repos/cxs/cli.ts**\n\n- **注册位置**：行 34-53\n ```typescript\n program\n .command(\"current\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n ```\n\n- **调用方式**：直接调用 `getCurrentSessions()`（行 47），无中间 try/catch，任何异常直接冒泡到 CLI runner（导致 stderr 输出）。\n\n- **--json 模式**：行 48-50，直接 `console.log(JSON.stringify(result, null, 2))`；没有结构化错误处理。\n\n- **参考模式**：`sync` 命令（行 62-95）有标准的 \"structured error in --json mode\" 模式 — catch `SyncError` 或 `SyncLockTimeoutError`，然后 JSON 输出 error 对象，设置 `process.exitCode = 1`。\n\n---\n\n### 3. 现有 sync lock 测试\n\n**文件：/Users/envvar/work/repos/cxs/indexer.test.ts**\n\n- **已有 lock 相关测试**：\n 1. `\"waits for an existing sync writer lock before opening the database\"` (行 62-86)\n - 用 `spawn + writeFileSync` 伪造 lock 文件，持有 350ms\n - 验证 sync 等待 lock 释放再继续（line 81）\n\n 2. `\"removes stale sync writer locks from dead pids before proceeding\"` (行 88-114)\n - 直接 `writeFileSync` 伪造 stale lock 文件，pid=999999（行 105-107）\n - 验证 sync 清理后继续（line 113 检查 lock 文件不存在）\n\n- **伪造方式**：手动 `writeFileSync` JSON 格式：`{ pid, createdAt }` (行 105-108)\n\n---\n\n### 4. 现有 mixed match 和 ranking 测试\n\n**文件：/Users/envvar/work/repos/cxs/query.test.ts**\n\n- **`matchSource: \"session\"` 相关测试**：\n 1. 行 250-298：`\"find can recall session title even when no message contains the query\"`\n - 直接 `openWriteDb + replaceSession` 插入 DB（无 sync）\n - 验证 `matchSource === \"session\"` 且 `matchSeq === null`\n\n 2. 行 300-360：`\"session-level fields have explicit ranking weights\"`\n - 对标 title / compact_text / summary_text / reasoning_summary_text 字段分别测 ranking\n - 数据组装：`openWriteDb + replaceSession` 直接插入\n\n 3. 行 362-390：`\"sync indexes compacted handoff text for session-level recall\"`\n - 用 `syncSessions` 真实 sync，验证 `matchSource === \"session\"`\n\n 4. 行 392-433：`\"session-level snippet prefers the window with denser query term coverage\"`\n - `openWriteDb + replaceSession` 直接插入\n - 验证 snippet 选择密集窗口\n\n- **同时含 message 和 session 命中对照**：未见明确的\"同 session 同时含两个 matchSource 的结果\"对照测试。\n\n---\n\n### 5. types.ts 相关类型定义\n\n**文件：/Users/envvar/work/repos/cxs/types.ts**\n\n| 类型 | 行号 | 关键字段 |\n|------|------|---------|\n| `MatchSource` | 2 | `\"message\" \\| \"session\"` |\n| `FindMatchRole` | 3 | `MessageRole \\| \"session\"` |\n| `FindResult` | 58-73 | `rank, sessionUuid, matchSource, matchSeq, matchRole, score, snippet` |\n| `CurrentSessionCandidate` | 95-101 | `sessionUuid, title, cwd, filePath, updatedAtMs` |\n| `SessionListEntry` | 85-93 | `sessionUuid, title, summaryText, cwd, startedAt, endedAt, messageCount` |"}],"totalDurationMs":37433,"totalTokens":57950,"totalToolUseCount":13,"usage":{"input_tokens":6,"cache_creation_input_tokens":6522,"cache_read_input_tokens":49488,"output_tokens":1934,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":6522},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":1934,"cache_read_input_tokens":49488,"cache_creation_input_tokens":6522,"cache_creation":{"ephemeral_5m_input_tokens":6522,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":6,"searchCount":0,"bashCount":7,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":0}},"sourceToolAssistantUUID":"4f32c6c7-8621-4256-bf57-52b90775ffaf","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3198,"cache_read_input_tokens":79746,"output_tokens":8357,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3198},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":8357,"cache_read_input_tokens":79746,"cache_creation_input_tokens":3198,"cache_creation":{"ephemeral_5m_input_tokens":3198,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"48b676ea-0dba-4b43-b468-24aef2411f82","timestamp":"2026-04-27T04:01:04.882Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"48b676ea-0dba-4b43-b468-24aef2411f82","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Tnhdgt3HZ9cw6XuK7mygNc","type":"message","role":"assistant","content":[{"type":"text","text":"范围、lock 修复方式、schema 防御深度都明确了。现在写最终 plan。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3198,"cache_read_input_tokens":79746,"output_tokens":8357,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3198},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":8357,"cache_read_input_tokens":79746,"cache_creation_input_tokens":3198,"cache_creation":{"ephemeral_5m_input_tokens":3198,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"0681cae1-638f-421e-9728-5b1001d721fb","timestamp":"2026-04-27T04:01:05.778Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"0681cae1-638f-421e-9728-5b1001d721fb","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Tnhdgt3HZ9cw6XuK7mygNc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013xrwVGEyKpwZssmzCbz1oJ","name":"Write","input":{"file_path":"/Users/envvar/.claude/plans/plan-magical-penguin.md","content":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3198,"cache_read_input_tokens":79746,"output_tokens":8357,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3198},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":8357,"cache_read_input_tokens":79746,"cache_creation_input_tokens":3198,"cache_creation":{"ephemeral_5m_input_tokens":3198,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"4c02ba65-1ea7-47e7-9042-c6fddfea408c","timestamp":"2026-04-27T04:01:59.175Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"4c02ba65-1ea7-47e7-9042-c6fddfea408c","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013xrwVGEyKpwZssmzCbz1oJ","type":"tool_result","content":"File created successfully at: /Users/envvar/.claude/plans/plan-magical-penguin.md"}]},"uuid":"3955ca3e-3404-46e4-b073-393c1460279f","timestamp":"2026-04-27T04:01:59.202Z","toolUseResult":{"type":"create","filePath":"/Users/envvar/.claude/plans/plan-magical-penguin.md","content":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"4c02ba65-1ea7-47e7-9042-c6fddfea408c","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"3955ca3e-3404-46e4-b073-393c1460279f","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01CdkirVRapJ61AxXLBw5k6X","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JcqKgsnRKF2aATRWHacJqN","name":"ExitPlanMode","input":{"plan":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n","planFilePath":"/Users/envvar/.claude/plans/plan-magical-penguin.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8402,"cache_read_input_tokens":82944,"output_tokens":47,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":8402},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":47,"cache_read_input_tokens":82944,"cache_creation_input_tokens":8402,"cache_creation":{"ephemeral_5m_input_tokens":8402,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"f813b24e-38a4-43b9-9427-1b5c0110446b","timestamp":"2026-04-27T04:02:02.518Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"f813b24e-38a4-43b9-9427-1b5c0110446b","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has approved your plan. You can now start coding. Start with updating your todo list if applicable\n\nYour plan has been saved to: /Users/envvar/.claude/plans/plan-magical-penguin.md\nYou can refer back to it if needed during implementation.\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work.\n\n## Approved Plan:\n# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n","tool_use_id":"toolu_01JcqKgsnRKF2aATRWHacJqN"}]},"uuid":"c4c6fa24-10be-43a3-af94-c1f2f1e4dd51","timestamp":"2026-04-27T04:04:25.912Z","toolUseResult":{"plan":"# cxs P0 修复:DB 资源释放 / sync lock race / current schema 防御\n\n## Context\n\n本轮 PR 基于 `docs/CODE_QUALITY_REVIEW_2026-04-27.md` 中 P0-2/3/4 三条已核实问题。审查报告中的 P0-1 (`tsc --noEmit`) 已在 commit `be75d87` 修复;P1 各条本轮不做,留下一轮(并顺手把过时的 P0-1 从报告里清掉)。\n\n要解决的具体问题:\n\n- **P0-2**:`query.ts` 中 5 个函数采用 `open → work → close` 平铺写法,中间 `throw` 时不会执行 `db.close()`,导致 SQLite 连接泄漏。\n- **P0-3**:`sync-lock.ts` 中读到 stale lock 后直接 `removeLockIfPresent`,与\"另一个进程已重新写入新 lock\"之间存在 TOCTOU 竞争窗口,可能误删别人的新锁。`releaseSyncLock` 已有 pid+createdAt 比对,清理路径需要对齐。\n- **P0-4**:`current` 命令直接 `SELECT ... FROM threads`,Codex state DB schema 一旦变化会冒泡 SQLite 原始异常,且 `--json` 模式下不输出结构化错误。\n\n预期产出:5 个 query 函数无泄漏路径、stale lock 清理对自家 lock 才动手、`current` 在 schema 不匹配时给出友好错误并在 `--json` 下结构化。\n\n## 修改清单\n\n### P0-2:DB 资源释放统一到 try/finally\n\n新增 helper,集中包装 `openReadDb + try/finally + close`,避免在 5 个 callsite 重复样板。\n\n**文件 `db.ts`** — 紧跟现有 `openReadDb` (行 22-32) 加:\n\n```ts\nexport function withReadDb<T>(dbPath: string, fn: (db: Database) => T): T {\n const db = openReadDb(dbPath);\n try {\n return fn(db);\n } finally {\n db.close();\n }\n}\n```\n\n**文件 `query.ts`** — 改写 5 个函数为 `return withReadDb(dbPath, (db) => {...})` 形态:\n\n| 函数 | 行号 |\n|------|------|\n| `findSessions` | 29-43 |\n| `getMessageRange` | 45-66 |\n| `getMessagePage` | 68-89 |\n| `listSessionSummaries` | 91-99 |\n| `collectStats` | 133-157 |\n\n`getCurrentSessions` (111-131) 已经是 `try/finally`,但因为它用 `new Database(stateDbPath, { readonly: true })` 而不是 `openReadDb`(目标是 Codex state DB,不需要 cxs 索引专用 PRAGMA),保留现状。\n\n### P0-3:sync lock stale 清理二次比对\n\n**文件 `sync-lock.ts`** — 把 `acquireSyncLock` 中行 48-52 的盲删改成\"二次读取并比对 pid+createdAt\"。抽出一个纯函数,便于单元测试覆盖 race 场景。\n\n新增内部函数(放在 `releaseSyncLock` 旁边):\n\n```ts\n/** 仅当 lock 文件仍是我们刚才看到的那一份时,才删除它。\n * 返回 true 表示 stale lock 已清理(或本身已不存在),调用方可以立即重试 acquire;\n * 返回 false 表示另一个进程已抢到 lock,调用方应回到 polling/timeout 路径。\n * Why:避免 TOCTOU — 在我们读到 dead pid 与执行删除之间,新进程可能已成功 acquire。\n */\nfunction tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}\n```\n\n把 `acquireSyncLock` 行 48-52 改为:\n\n```ts\nconst existing = readLockInfo(lockPath);\nif (existing && !isProcessAlive(existing.pid)) {\n if (tryRemoveStaleLock(lockPath, existing)) continue;\n // 别人已抢走 lock — 不动,落到 polling/timeout 分支。\n}\n```\n\n为了让单元测试能不依赖真实文件 race 直接验证比对逻辑,把 `tryRemoveStaleLock` 也 `export`(模块内辅助导出,不进 README)。\n\n### P0-4:current state DB schema 防御 + CLI 结构化错误\n\n**文件 `query.ts`** — 在文件顶部加错误类型:\n\n```ts\nexport class CurrentStateDbError extends Error {\n constructor(message: string) {\n super(message);\n this.name = \"CurrentStateDbError\";\n }\n}\n```\n\n在 `getCurrentSessions` (111-131) 打开 db 后、查询前增加 `threads` 表存在性检查,复用 `query.ts` 中已有的 `tableExists(db, name)` 模式(行 330-335),但因为它是 `query.ts` 内的 file-private,需要 inline 等效逻辑或把 `tableExists` 提到模块顶部并在 `getCurrentSessions` 中复用。倾向后者(inline 一份会重复)。\n\n```ts\nif (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n}\n```\n\n**文件 `cli.ts`** — `current` action(行 34-53)目前直接 throw,没有 `--json` 结构化错误。改成:\n\n```ts\n.action((options) => {\n const cwd = options.cwd ?? process.cwd();\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, Boolean(options.json));\n return;\n }\n throw error;\n }\n});\n```\n\n新增 `emitCurrentError(err, jsonMode)` helper:\n\n- `jsonMode === true` → `console.log(JSON.stringify({ error: { code: \"state_db_unavailable\", message: err.message } }, null, 2))`,并 `process.exitCode = 1`。\n- 否则 → `console.error(err.message)`,`process.exitCode = 1`。\n\n参考 `sync` 命令现有的 `--json` 错误模式(cli.ts 62-95)对齐风格。\n\n## 测试\n\n### `query.test.ts`\n\n新增:\n- `\"getCurrentSessions throws CurrentStateDbError when state db lacks 'threads'\"` — 用 `bun:sqlite` 在 tmp 路径建一个空 db(不建 threads 表),调用 `getCurrentSessions`,断言抛出 `CurrentStateDbError` 且 message 含 \"threads\"。\n\n数据组装方式参考已有的 `openWriteDb + replaceSession` 风格(query.test.ts 250-298)。\n\n### `cli.test.ts`\n\n新增 2 条:\n- `\"cxs current --json outputs structured error when state db is missing\"` — 指向不存在的路径,断言 stdout 是 `{\"error\":{\"code\":\"state_db_unavailable\",...}}`、exit code = 1。\n- `\"cxs current --json outputs structured error when state db schema is unexpected\"` — 用空 db(无 threads 表)路径触发,断言同样结构。\n\n### `indexer.test.ts`\n\n新增 race 测试(在现有 lock 测试旁,行 88-114 风格之后):\n- `\"tryRemoveStaleLock leaves a freshly written lock alone\"` — 直接 import `tryRemoveStaleLock`,先写一份 expected `{pid, createdAt}` 的 lock 文件,然后改写文件成\"另一个 pid 的新 lock\",调用 `tryRemoveStaleLock(path, expected)`,断言返回 `false` 且 lock 文件仍存在。\n- `\"tryRemoveStaleLock removes the lock when it still matches\"` — lock 文件没变,断言返回 `true` 且文件被删除。\n- `\"tryRemoveStaleLock returns true when lock is already gone\"` — 文件已不存在的情况。\n\n如果 `indexer.test.ts` 不便直接 import 内部 helper(避免污染 indexer 测试主题),可单独建 `sync-lock.test.ts` 放这三条;倾向新建文件,主题更聚焦。\n\n## 关键文件路径\n\n- `/Users/envvar/work/repos/cxs/db.ts` — `withReadDb` 新增 helper\n- `/Users/envvar/work/repos/cxs/query.ts` — 5 处 try/finally 替换 + `CurrentStateDbError` + `tableExists` 提模块顶 + `getCurrentSessions` schema 检查\n- `/Users/envvar/work/repos/cxs/sync-lock.ts` — `tryRemoveStaleLock` + acquire 路径改写\n- `/Users/envvar/work/repos/cxs/cli.ts` — `current` action 的 try/catch + `emitCurrentError`\n- `/Users/envvar/work/repos/cxs/query.test.ts` — getCurrentSessions schema 错误用例\n- `/Users/envvar/work/repos/cxs/cli.test.ts` — current --json 错误用例\n- `/Users/envvar/work/repos/cxs/sync-lock.test.ts` (新建) — 三条 race fix 单元测试\n- `/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md` — 把已修复的 P0-1 标记为 ✅ done(commit be75d87)\n\n## 验证\n\n1. `bun run check` — 等价 `tsc --noEmit && bun test`,确认 30+ 个现有用例 + 6 条新用例全过。\n2. 手动 smoke(在 `/Users/envvar/work/repos/cxs` 自身目录跑):\n - `bun run cxs sync` — 应正常退出。\n - 在 sync 进行中开第二个终端再跑 `bun run cxs sync` — 应等待已有锁(已有测试覆盖)。\n - `bun run cxs current --json` — 应返回 `{ \"cwd\": \"...\", \"candidates\": [...] }`。\n - `bun run cxs current --state-db /tmp/does-not-exist.db --json` — 应返回 `{ \"error\": { \"code\": \"state_db_unavailable\", ... } }` 且 exit 非零。\n - `bun run cxs find foo` 跑一遍确保 query 路径未回归。\n3. 检查改动后的 `query.ts` 不再有任何裸 `db.close()`(grep 应只命中 `withReadDb` 内部和 `getCurrentSessions` 的 finally)。\n","isAgent":false,"filePath":"/Users/envvar/.claude/plans/plan-magical-penguin.md","hasTaskTool":true},"sourceToolAssistantUUID":"f813b24e-38a4-43b9-9427-1b5c0110446b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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from \"./types\";\n26\t\n27\tconst program = new Command();\n28\t\n29\tprogram\n30\t .name(\"cxs\")\n31\t .description(\"Codex sessions 渐进式检索 CLI\")\n32\t .version(\"0.1.0\");\n33\t\n34\tprogram\n35\t .command(\"current\")\n36\t .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n37\t .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n38\t .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n39\t .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n40\t .option(\"--json\", \"输出 JSON\")\n41\t .action((options) => {\n42\t const cwd = options.cwd ?? process.cwd();\n43\t if (!existsSync(options.stateDb)) {\n44\t throw new Error(`state db not found: ${options.stateDb}`);\n45\t }\n46\t\n47\t const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n48\t if (options.json) {\n49\t console.log(JSON.stringify(result, null, 2));\n50\t return;\n51\t }\n52\t printCurrentSessions(result.cwd, result.candidates);\n53\t });\n54\t\n55\tprogram\n56\t .command(\"sync\")\n57\t .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n58\t .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n59\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n60\t .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n61\t .option(\"--json\", \"输出 JSON\")\n62\t .action(async (options) => {\n63\t try {\n64\t const summary = await syncSessions({\n65\t dbPath: options.db,\n66\t rootDir: resolveCodexDir(options.root),\n67\t bestEffort: options.bestEffort,\n68\t });\n69\t if (options.json) {\n70\t console.log(JSON.stringify(summary, null, 2));\n71\t return;\n72\t }\n73\t printSyncSummary(summary);\n74\t } catch (error) {\n75\t if (error instanceof SyncError) {\n76\t if (options.json) {\n77\t console.error(JSON.stringify(error.summary, null, 2));\n78\t } else {\n79\t printSyncSummary(error.summary);\n80\t }\n81\t process.exitCode = 1;\n82\t return;\n83\t }\n84\t if (error instanceof SyncLockTimeoutError) {\n85\t if (options.json) {\n86\t console.error(JSON.stringify({ error: error.message }, null, 2));\n87\t } else {\n88\t console.error(error.message);\n89\t }\n90\t process.exitCode = 1;\n91\t return;\n92\t }\n93\t throw error;\n94\t }\n95\t });\n96\t\n97\tprogram\n98\t .command(\"find <query>\")\n99\t .description(\"搜索相关 session，返回最小必要命中\")\n100\t .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n101\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n102\t .option(\"--json\", \"输出 JSON\")\n103\t .action((query, options) => {\n104\t const limit = parsePositiveInt(options.limit, 10);\n105\t const result = findSessions(options.db, query, limit);\n106\t if (options.json) {\n107\t console.log(JSON.stringify(result, null, 2));\n108\t return;\n109\t }\n110\t printFindResults(result.query, result.results);\n111\t });\n112\t\n113\tprogram\n114\t .command(\"read-range <sessionUuid>\")\n115\t .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n116\t .option(\"--seq <n>\", \"显式指定锚点 seq\")\n117\t .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n118\t .option(\"--before <n>\", \"前文条数\", \"2\")\n119\t .option(\"--after <n>\", \"后文条数\", \"2\")\n120\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n121\t .option(\"--json\", \"输出 JSON\")\n122\t .action((sessionUuid, options) => {\n123\t const result = getMessageRange(options.db, sessionUuid, {\n124\t seq: optionalInt(options.seq),\n125\t query: options.query,\n126\t before: parsePositiveInt(options.before, 2),\n127\t after: parsePositiveInt(options.after, 2),\n128\t });\n129\t if (options.json) {\n130\t console.log(JSON.stringify(result, null, 2));\n131\t return;\n132\t }\n133\t printReadRangeResult(\n134\t result.session,\n135\t result.anchorSeq,\n136\t result.messages,\n137\t result.rangeStartSeq,\n138\t result.rangeEndSeq,\n139\t );\n140\t });\n141\t\n142\tprogram\n143\t .command(\"read-page <sessionUuid>\")\n144\t .description(\"顺序分页读取某个 session 的消息\")\n145\t .option(\"--offset <n>\", \"起始 offset\", \"0\")\n146\t .option(\"--limit <n>\", \"页大小\", \"20\")\n147\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n148\t .option(\"--json\", \"输出 JSON\")\n149\t .action((sessionUuid, options) => {\n150\t const result = getMessagePage(\n151\t options.db,\n152\t sessionUuid,\n153\t parseNonNegativeInt(options.offset, 0),\n154\t parsePositiveInt(options.limit, 20),\n155\t );\n156\t if (options.json) {\n157\t console.log(JSON.stringify(result, null, 2));\n158\t return;\n159\t }\n160\t printReadPage(\n161\t result.session,\n162\t result.offset,\n163\t result.limit,\n164\t result.totalCount,\n165\t result.hasMore,\n166\t result.messages,\n167\t );\n168\t });\n169\t\n170\tprogram\n171\t .command(\"list\")\n172\t .description(\"列出已索引的 session（不做全文检索）\")\n173\t .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n174\t .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n175\t .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n176\t .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n177\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n178\t .option(\"--json\", \"输出 JSON\")\n179\t .action((options) => {\n180\t const sort = normalizeListSort(options.sort);\n181\t const result = listSessionSummaries(options.db, {\n182\t cwd: options.cwd,\n183\t since: options.since,\n184\t sort,\n185\t limit: parsePositiveInt(options.limit, 20),\n186\t });\n187\t if (options.json) {\n188\t console.log(JSON.stringify(result, null, 2));\n189\t return;\n190\t }\n191\t printSessionList(result.results);\n192\t });\n193\t\n194\tprogram\n195\t .command(\"stats\")\n196\t .description(\"展示索引状态统计\")\n197\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n198\t .option(\"--json\", \"输出 JSON\")\n199\t .action((options) => {\n200\t const summary = collectStats(options.db);\n201\t if (options.json) {\n202\t console.log(JSON.stringify(summary, null, 2));\n203\t return;\n204\t }\n205\t printStats(summary);\n206\t });\n207\t\n208\tprogram.parse();\n209\t\n210\tfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n211\t const parsed = Number.parseInt(value ?? \"\", 10);\n212\t return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n213\t}\n214\t\n215\tfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n216\t const parsed = Number.parseInt(value ?? \"\", 10);\n217\t return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n218\t}\n219\t\n220\tfunction optionalInt(value: string | undefined): number | undefined {\n221\t const parsed = Number.parseInt(value ?? \"\", 10);\n222\t return Number.isFinite(parsed) ? parsed : undefined;\n223\t}\n224\t\n225\tfunction normalizeListSort(value: string | undefined): SessionListSort {\n226\t if (value === \"started\" || value === \"messages\") return value;\n227\t return \"ended\";\n228\t}\n229\t"}]},"uuid":"1f6e6ad3-a3b5-4029-bd02-e7b2cc64bf64","timestamp":"2026-04-27T04:04:53.145Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","content":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n","numLines":229,"startLine":1,"totalLines":229}},"sourceToolAssistantUUID":"339d7e98-9517-4c06-9e04-87c99123a078","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"380b2c55-266a-4df1-964e-ca4238a1ed58","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EHVvvqKYq1mh6muEF4dguj","type":"tool_result","content":"1\timport { existsSync } from \"node:fs\";\n2\timport { Database } from \"bun:sqlite\";\n3\timport type { SQLQueryBindings } from \"bun:sqlite\";\n4\timport { tokenizedText } from \"./tokenize\";\n5\timport type {\n6\t CwdCount,\n7\t MessageRecord,\n8\t ParsedSession,\n9\t SessionListEntry,\n10\t SessionListQuery,\n11\t SessionRecord,\n12\t} from \"./types\";\n13\t\n14\tconst CUSTOM_SQLITE = \"/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib\";\n15\tconst BUSY_TIMEOUT_MS = 5000;\n16\ttype SqlParams = SQLQueryBindings[];\n17\t\n18\tif (existsSync(CUSTOM_SQLITE)) {\n19\t Database.setCustomSQLite(CUSTOM_SQLITE);\n20\t}\n21\t\n22\texport function openReadDb(dbPath: string): Database {\n23\t if (!existsSync(dbPath)) {\n24\t throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n25\t }\n26\t\n27\t const db = new Database(dbPath, { readonly: true });\n28\t db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n29\t db.run(\"PRAGMA query_only=ON\");\n30\t db.run(\"PRAGMA temp_store=MEMORY\");\n31\t return db;\n32\t}\n33\t\n34\texport function openWriteDb(dbPath: string): Database {\n35\t const db = new Database(dbPath);\n36\t db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n37\t db.run(\"PRAGMA journal_mode=WAL\");\n38\t db.run(\"PRAGMA synchronous=NORMAL\");\n39\t db.run(\"PRAGMA temp_store=MEMORY\");\n40\t db.run(\"PRAGMA foreign_keys=ON\");\n41\t ensureSchema(db);\n42\t return db;\n43\t}\n44\t\n45\tfunction ensureSchema(db: Database): void {\n46\t db.run(`\n47\t CREATE TABLE IF NOT EXISTS sessions (\n48\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n49\t session_uuid TEXT NOT NULL UNIQUE,\n50\t file_path TEXT NOT NULL UNIQUE,\n51\t title TEXT NOT NULL DEFAULT '',\n52\t summary_text TEXT NOT NULL DEFAULT '',\n53\t compact_text TEXT NOT NULL DEFAULT '',\n54\t reasoning_summary_text TEXT NOT NULL DEFAULT '',\n55\t cwd TEXT NOT NULL DEFAULT '',\n56\t model TEXT NOT NULL DEFAULT '',\n57\t started_at TEXT NOT NULL,\n58\t ended_at TEXT NOT NULL,\n59\t message_count INTEGER NOT NULL DEFAULT 0,\n60\t raw_file_mtime INTEGER NOT NULL DEFAULT 0,\n61\t raw_file_size INTEGER NOT NULL DEFAULT 0,\n62\t index_version TEXT NOT NULL DEFAULT '',\n63\t updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP\n64\t )\n65\t `);\n66\t\n67\t ensureTextColumn(db, \"sessions\", \"summary_text\");\n68\t ensureTextColumn(db, \"sessions\", \"compact_text\");\n69\t ensureTextColumn(db, \"sessions\", \"reasoning_summary_text\");\n70\t\n71\t db.run(`\n72\t CREATE TABLE IF NOT EXISTS messages (\n73\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n74\t session_id INTEGER NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n75\t session_uuid TEXT NOT NULL,\n76\t seq INTEGER NOT NULL,\n77\t role TEXT NOT NULL,\n78\t content_text TEXT NOT NULL,\n79\t timestamp TEXT NOT NULL,\n80\t source_kind TEXT NOT NULL,\n81\t UNIQUE(session_uuid, seq)\n82\t )\n83\t `);\n84\t\n85\t db.run(\"CREATE INDEX IF NOT EXISTS idx_messages_session_seq ON messages(session_uuid, seq)\");\n86\t db.run(\"CREATE INDEX IF NOT EXISTS idx_sessions_started_at ON sessions(started_at DESC)\");\n87\t\n88\t db.run(`\n89\t CREATE VIRTUAL TABLE IF NOT EXISTS messages_fts USING fts5(\n90\t content_text,\n91\t session_uuid UNINDEXED,\n92\t seq UNINDEXED,\n93\t role UNINDEXED,\n94\t timestamp UNINDEXED,\n95\t tokenize='unicode61 remove_diacritics 1'\n96\t )\n97\t `);\n98\t\n99\t ensureSessionsFtsTable(db);\n100\t\n101\t dropLegacyTrigramTable(db);\n102\t}\n103\t\n104\tfunction dropLegacyTrigramTable(db: Database): void {\n105\t // cxs <= v2 shipped a second FTS5 virtual table for CJK trigram search.\n106\t // The hybrid bigram+Segmenter tokenizer in tokenize.ts replaces it, so\n107\t // drop the old table and its shadow rows if they still exist.\n108\t db.run(\"DROP TABLE IF EXISTS messages_fts_trigram\");\n109\t}\n110\t\n111\tfunction ensureSessionsFtsTable(db: Database): void {\n112\t const existing = db\n113\t .query(\"SELECT 1 FROM sqlite_master WHERE name = 'sessions_fts' LIMIT 1\")\n114\t .get();\n115\t\n116\t if (existing) {\n117\t const columns = db\n118\t .query(\"PRAGMA table_info(sessions_fts)\")\n119\t .all() as Array<{ name: string }>;\n120\t const names = new Set(columns.map((column) => column.name));\n121\t if (!names.has(\"compact_text\") || !names.has(\"reasoning_summary_text\")) {\n122\t db.run(\"DROP TABLE sessions_fts\");\n123\t }\n124\t }\n125\t\n126\t db.run(`\n127\t CREATE VIRTUAL TABLE IF NOT EXISTS sessions_fts USING fts5(\n128\t title,\n129\t summary_text,\n130\t compact_text,\n131\t reasoning_summary_text,\n132\t session_uuid UNINDEXED,\n133\t tokenize='unicode61 remove_diacritics 1'\n134\t )\n135\t `);\n136\t}\n137\t\n138\texport function getIndexedSessionMeta(\n139\t db: Database,\n140\t filePath: string,\n141\t): { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null {\n142\t const row = db\n143\t .query<{ rawFileMtime: number; rawFileSize: number; indexVersion: string }, [string]>(`\n144\t SELECT raw_file_mtime AS rawFileMtime, raw_file_size AS rawFileSize, index_version AS indexVersion\n145\t FROM sessions\n146\t WHERE file_path = ?\n147\t LIMIT 1\n148\t `)\n149\t .get(filePath) as\n150\t | { rawFileMtime: number; rawFileSize: number; indexVersion: string }\n151\t | null;\n152\t\n153\t return row ?? null;\n154\t}\n155\t\n156\texport function deleteSessionByFilePath(db: Database, filePath: string): void {\n157\t const row = db\n158\t .query<{ sessionUuid: string }, [string]>(\"SELECT session_uuid AS sessionUuid FROM sessions WHERE file_path = ? LIMIT 1\")\n159\t .get(filePath) as { sessionUuid: string } | null;\n160\t\n161\t if (!row) return;\n162\t deleteSessionByUuid(db, row.sessionUuid);\n163\t}\n164\t\n165\tfunction deleteSessionByUuid(db: Database, sessionUuid: string): void {\n166\t db.run(\"DELETE FROM sessions_fts WHERE session_uuid = ?\", [sessionUuid]);\n167\t db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [sessionUuid]);\n168\t db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [sessionUuid]);\n169\t db.run(\"DELETE FROM sessions WHERE session_uuid = ?\", [sessionUuid]);\n170\t}\n171\t\n172\texport function replaceSession(\n173\t db: Database,\n174\t session: ParsedSession,\n175\t rawFileMtime: number,\n176\t rawFileSize: number,\n177\t indexVersion: string,\n178\t): void {\n179\t const tx = db.transaction(() => {\n180\t const existing = db\n181\t .query<{ id: number }, [string, string]>(\"SELECT id FROM sessions WHERE session_uuid = ? OR file_path = ? LIMIT 1\")\n182\t .get(session.sessionUuid, session.filePath) as { id: number } | null;\n183\t\n184\t if (existing) {\n185\t db.run(\n186\t `\n187\t UPDATE sessions\n188\t SET session_uuid = ?, file_path = ?, title = ?, summary_text = ?, compact_text = ?, reasoning_summary_text = ?,\n189\t cwd = ?, model = ?, started_at = ?, ended_at = ?,\n190\t message_count = ?, raw_file_mtime = ?, raw_file_size = ?, index_version = ?, updated_at = CURRENT_TIMESTAMP\n191\t WHERE id = ?\n192\t `,\n193\t [\n194\t session.sessionUuid,\n195\t session.filePath,\n196\t session.title,\n197\t session.summaryText,\n198\t session.compactText ?? \"\",\n199\t session.reasoningSummaryText ?? \"\",\n200\t session.cwd,\n201\t session.model,\n202\t session.startedAt,\n203\t session.endedAt,\n204\t session.messages.length,\n205\t rawFileMtime,\n206\t rawFileSize,\n207\t indexVersion,\n208\t existing.id,\n209\t ],\n210\t );\n211\t } else {\n212\t db.run(\n213\t `\n214\t INSERT INTO sessions (\n215\t session_uuid, file_path, title, summary_text, compact_text, reasoning_summary_text,\n216\t cwd, model, started_at, ended_at,\n217\t message_count, raw_file_mtime, raw_file_size, index_version\n218\t ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n219\t `,\n220\t [\n221\t session.sessionUuid,\n222\t session.filePath,\n223\t session.title,\n224\t session.summaryText,\n225\t session.compactText ?? \"\",\n226\t session.reasoningSummaryText ?? \"\",\n227\t session.cwd,\n228\t session.model,\n229\t session.startedAt,\n230\t session.endedAt,\n231\t session.messages.length,\n232\t rawFileMtime,\n233\t rawFileSize,\n234\t indexVersion,\n235\t ],\n236\t );\n237\t }\n238\t\n239\t const sessionRow = db\n240\t .query<{ id: number }, [string]>(\"SELECT id FROM sessions WHERE session_uuid = ? LIMIT 1\")\n241\t .get(session.sessionUuid) as { id: number };\n242\t\n243\t db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [session.sessionUuid]);\n244\t db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [session.sessionUuid]);\n245\t db.run(\"DELETE FROM sessions_fts WHERE rowid = ? OR session_uuid = ?\", [sessionRow.id, session.sessionUuid]);\n246\t\n247\t db.run(\n248\t `\n249\t INSERT INTO sessions_fts(rowid, title, summary_text, compact_text, reasoning_summary_text, session_uuid)\n250\t VALUES (?, ?, ?, ?, ?, ?)\n251\t `,\n252\t [\n253\t sessionRow.id,\n254\t tokenizedText(session.title),\n255\t tokenizedText(session.summaryText),\n256\t tokenizedText(session.compactText ?? \"\"),\n257\t tokenizedText(session.reasoningSummaryText ?? \"\"),\n258\t session.sessionUuid,\n259\t ],\n260\t );\n261\t\n262\t const messageStmt = db.prepare<unknown, [number, string, number, string, string, string, string]>(`\n263\t INSERT INTO messages (session_id, session_uuid, seq, role, content_text, timestamp, source_kind)\n264\t VALUES (?, ?, ?, ?, ?, ?, ?)\n265\t `);\n266\t const ftsStmt = db.prepare<unknown, [number, string, string, number, string, string]>(`\n267\t INSERT INTO messages_fts(rowid, content_text, session_uuid, seq, role, timestamp)\n268\t VALUES (?, ?, ?, ?, ?, ?)\n269\t `);\n270\t\n271\t for (const message of session.messages) {\n272\t const result = messageStmt.run(\n273\t sessionRow.id,\n274\t session.sessionUuid,\n275\t message.seq,\n276\t message.role,\n277\t message.contentText,\n278\t message.timestamp,\n279\t message.sourceKind,\n280\t );\n281\t const messageId = Number(result.lastInsertRowid);\n282\t // Feed the FTS index with tokenized text so that CJK runs are split\n283\t // into bigrams by tokenize(). Stored content in messages.content_text\n284\t // stays raw for display.\n285\t ftsStmt.run(\n286\t messageId,\n287\t tokenizedText(message.contentText),\n288\t session.sessionUuid,\n289\t message.seq,\n290\t message.role,\n291\t message.timestamp,\n292\t );\n293\t }\n294\t });\n295\t\n296\t tx();\n297\t}\n298\t\n299\texport function getSessionRecord(db: Database, sessionUuid: string): SessionRecord | null {\n300\t const row = db\n301\t .query<SessionRecord & { filePath: string }, [string]>(`\n302\t SELECT\n303\t session_uuid AS sessionUuid,\n304\t file_path AS filePath,\n305\t title,\n306\t summary_text AS summaryText,\n307\t cwd,\n308\t model,\n309\t started_at AS startedAt,\n310\t ended_at AS endedAt,\n311\t message_count AS messageCount\n312\t FROM sessions\n313\t WHERE session_uuid = ?\n314\t LIMIT 1\n315\t `)\n316\t .get(sessionUuid) as (SessionRecord & { filePath: string }) | null;\n317\t\n318\t if (!row) return null;\n319\t return row;\n320\t}\n321\t\n322\tfunction ensureTextColumn(db: Database, tableName: string, columnName: string): void {\n323\t const columns = db\n324\t .query(`PRAGMA table_info(${tableName})`)\n325\t .all() as Array<{ name?: string }>;\n326\t\n327\t if (columns.some((column) => column.name === columnName)) return;\n328\t db.run(`ALTER TABLE ${tableName} ADD COLUMN ${columnName} TEXT NOT NULL DEFAULT ''`);\n329\t}\n330\t\n331\texport function getMessagesForRange(\n332\t db: Database,\n333\t sessionUuid: string,\n334\t startSeq: number,\n335\t endSeq: number,\n336\t): MessageRecord[] {\n337\t return db\n338\t .query<MessageRecord, [string, number, number]>(`\n339\t SELECT\n340\t session_uuid AS sessionUuid,\n341\t seq,\n342\t role,\n343\t content_text AS contentText,\n344\t timestamp,\n345\t source_kind AS sourceKind\n346\t FROM messages\n347\t WHERE session_uuid = ? AND seq BETWEEN ? AND ?\n348\t ORDER BY seq\n349\t `)\n350\t .all(sessionUuid, startSeq, endSeq) as MessageRecord[];\n351\t}\n352\t\n353\texport function getMessagesForPage(\n354\t db: Database,\n355\t sessionUuid: string,\n356\t offset: number,\n357\t limit: number,\n358\t): MessageRecord[] {\n359\t return db\n360\t .query<MessageRecord, [string, number, number]>(`\n361\t SELECT\n362\t session_uuid AS sessionUuid,\n363\t seq,\n364\t role,\n365\t content_text AS contentText,\n366\t timestamp,\n367\t source_kind AS sourceKind\n368\t FROM messages\n369\t WHERE session_uuid = ?\n370\t ORDER BY seq\n371\t LIMIT ? OFFSET ?\n372\t `)\n373\t .all(sessionUuid, limit, offset) as MessageRecord[];\n374\t}\n375\t\n376\texport function listSessions(db: Database, query: SessionListQuery): SessionListEntry[] {\n377\t const conditions: string[] = [];\n378\t const params: SqlParams = [];\n379\t if (query.cwd) {\n380\t // Substring match rather than prefix/equality: agent callers often pass\n381\t // the trailing segment of a project path, not the full canonical path.\n382\t conditions.push(\"lower(cwd) LIKE ? ESCAPE '\\\\'\");\n383\t params.push(`%${escapeLike(query.cwd.toLowerCase())}%`);\n384\t }\n385\t if (query.since) {\n386\t conditions.push(\"ended_at >= ?\");\n387\t params.push(query.since);\n388\t }\n389\t const where = conditions.length > 0 ? `WHERE ${conditions.join(\" AND \")}` : \"\";\n390\t\n391\t const orderColumn = query.sort === \"started\"\n392\t ? \"started_at\"\n393\t : query.sort === \"messages\"\n394\t ? \"message_count\"\n395\t : \"ended_at\";\n396\t\n397\t params.push(query.limit);\n398\t\n399\t return db\n400\t .query<SessionListEntry, typeof params>(`\n401\t SELECT\n402\t session_uuid AS sessionUuid,\n403\t title,\n404\t summary_text AS summaryText,\n405\t cwd,\n406\t started_at AS startedAt,\n407\t ended_at AS endedAt,\n408\t message_count AS messageCount\n409\t FROM sessions\n410\t ${where}\n411\t ORDER BY ${orderColumn} DESC\n412\t LIMIT ?\n413\t `)\n414\t .all(...params) as SessionListEntry[];\n415\t}\n416\t\n417\texport function getStatsCounts(db: Database): {\n418\t sessionCount: number;\n419\t messageCount: number;\n420\t earliestStartedAt: string | null;\n421\t latestEndedAt: string | null;\n422\t lastSyncAt: string | null;\n423\t} {\n424\t const row = db\n425\t .query(`\n426\t SELECT\n427\t COUNT(*) AS sessionCount,\n428\t COALESCE(SUM(message_count), 0) AS messageCount,\n429\t MIN(started_at) AS earliestStartedAt,\n430\t MAX(ended_at) AS latestEndedAt,\n431\t MAX(updated_at) AS lastSyncAt\n432\t FROM sessions\n433\t `)\n434\t .get() as {\n435\t sessionCount: number;\n436\t messageCount: number;\n437\t earliestStartedAt: string | null;\n438\t latestEndedAt: string | null;\n439\t lastSyncAt: string | null;\n440\t };\n441\t return row;\n442\t}\n443\t\n444\texport function getTopCwds(db: Database, limit: number): CwdCount[] {\n445\t return db\n446\t .query<CwdCount, [number]>(`\n447\t SELECT cwd, COUNT(*) AS count\n448\t FROM sessions\n449\t WHERE cwd != ''\n450\t GROUP BY cwd\n451\t ORDER BY count DESC, cwd ASC\n452\t LIMIT ?\n453\t `)\n454\t .all(limit) as CwdCount[];\n455\t}\n456\t\n457\tfunction escapeLike(value: string): string {\n458\t return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n459\t}\n460\t"}]},"uuid":"6cebb1bc-eebe-4317-b5fc-606239baa8a1","timestamp":"2026-04-27T04:04:53.286Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/db.ts","content":"import { existsSync } from \"node:fs\";\nimport { Database } from \"bun:sqlite\";\nimport type { SQLQueryBindings } from \"bun:sqlite\";\nimport { tokenizedText } from \"./tokenize\";\nimport type {\n CwdCount,\n MessageRecord,\n ParsedSession,\n SessionListEntry,\n SessionListQuery,\n SessionRecord,\n} from \"./types\";\n\nconst CUSTOM_SQLITE = \"/opt/homebrew/opt/sqlite/lib/libsqlite3.dylib\";\nconst BUSY_TIMEOUT_MS = 5000;\ntype SqlParams = SQLQueryBindings[];\n\nif (existsSync(CUSTOM_SQLITE)) {\n Database.setCustomSQLite(CUSTOM_SQLITE);\n}\n\nexport function openReadDb(dbPath: string): Database {\n if (!existsSync(dbPath)) {\n throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n }\n\n const db = new Database(dbPath, { readonly: true });\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n db.run(\"PRAGMA query_only=ON\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n return db;\n}\n\nexport function openWriteDb(dbPath: string): Database {\n const db = new Database(dbPath);\n db.run(`PRAGMA busy_timeout=${BUSY_TIMEOUT_MS}`);\n db.run(\"PRAGMA journal_mode=WAL\");\n db.run(\"PRAGMA synchronous=NORMAL\");\n db.run(\"PRAGMA temp_store=MEMORY\");\n db.run(\"PRAGMA foreign_keys=ON\");\n ensureSchema(db);\n return db;\n}\n\nfunction ensureSchema(db: Database): void {\n db.run(`\n CREATE TABLE IF NOT EXISTS sessions (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_uuid TEXT NOT NULL UNIQUE,\n file_path TEXT NOT NULL UNIQUE,\n title TEXT NOT NULL DEFAULT '',\n summary_text TEXT NOT NULL DEFAULT '',\n compact_text TEXT NOT NULL DEFAULT '',\n reasoning_summary_text TEXT NOT NULL DEFAULT '',\n cwd TEXT NOT NULL DEFAULT '',\n model TEXT NOT NULL DEFAULT '',\n started_at TEXT NOT NULL,\n ended_at TEXT NOT NULL,\n message_count INTEGER NOT NULL DEFAULT 0,\n raw_file_mtime INTEGER NOT NULL DEFAULT 0,\n raw_file_size INTEGER NOT NULL DEFAULT 0,\n index_version TEXT NOT NULL DEFAULT '',\n updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n ensureTextColumn(db, \"sessions\", \"summary_text\");\n ensureTextColumn(db, \"sessions\", \"compact_text\");\n ensureTextColumn(db, \"sessions\", \"reasoning_summary_text\");\n\n db.run(`\n CREATE TABLE IF NOT EXISTS messages (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_id INTEGER NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n session_uuid TEXT NOT NULL,\n seq INTEGER NOT NULL,\n role TEXT NOT NULL,\n content_text TEXT NOT NULL,\n timestamp TEXT NOT NULL,\n source_kind TEXT NOT NULL,\n UNIQUE(session_uuid, seq)\n )\n `);\n\n db.run(\"CREATE INDEX IF NOT EXISTS idx_messages_session_seq ON messages(session_uuid, seq)\");\n db.run(\"CREATE INDEX IF NOT EXISTS idx_sessions_started_at ON sessions(started_at DESC)\");\n\n db.run(`\n CREATE VIRTUAL TABLE IF NOT EXISTS messages_fts USING fts5(\n content_text,\n session_uuid UNINDEXED,\n seq UNINDEXED,\n role UNINDEXED,\n timestamp UNINDEXED,\n tokenize='unicode61 remove_diacritics 1'\n )\n `);\n\n ensureSessionsFtsTable(db);\n\n dropLegacyTrigramTable(db);\n}\n\nfunction dropLegacyTrigramTable(db: Database): void {\n // cxs <= v2 shipped a second FTS5 virtual table for CJK trigram search.\n // The hybrid bigram+Segmenter tokenizer in tokenize.ts replaces it, so\n // drop the old table and its shadow rows if they still exist.\n db.run(\"DROP TABLE IF EXISTS messages_fts_trigram\");\n}\n\nfunction ensureSessionsFtsTable(db: Database): void {\n const existing = db\n .query(\"SELECT 1 FROM sqlite_master WHERE name = 'sessions_fts' LIMIT 1\")\n .get();\n\n if (existing) {\n const columns = db\n .query(\"PRAGMA table_info(sessions_fts)\")\n .all() as Array<{ name: string }>;\n const names = new Set(columns.map((column) => column.name));\n if (!names.has(\"compact_text\") || !names.has(\"reasoning_summary_text\")) {\n db.run(\"DROP TABLE sessions_fts\");\n }\n }\n\n db.run(`\n CREATE VIRTUAL TABLE IF NOT EXISTS sessions_fts USING fts5(\n title,\n summary_text,\n compact_text,\n reasoning_summary_text,\n session_uuid UNINDEXED,\n tokenize='unicode61 remove_diacritics 1'\n )\n `);\n}\n\nexport function getIndexedSessionMeta(\n db: Database,\n filePath: string,\n): { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null {\n const row = db\n .query<{ rawFileMtime: number; rawFileSize: number; indexVersion: string }, [string]>(`\n SELECT raw_file_mtime AS rawFileMtime, raw_file_size AS rawFileSize, index_version AS indexVersion\n FROM sessions\n WHERE file_path = ?\n LIMIT 1\n `)\n .get(filePath) as\n | { rawFileMtime: number; rawFileSize: number; indexVersion: string }\n | null;\n\n return row ?? null;\n}\n\nexport function deleteSessionByFilePath(db: Database, filePath: string): void {\n const row = db\n .query<{ sessionUuid: string }, [string]>(\"SELECT session_uuid AS sessionUuid FROM sessions WHERE file_path = ? LIMIT 1\")\n .get(filePath) as { sessionUuid: string } | null;\n\n if (!row) return;\n deleteSessionByUuid(db, row.sessionUuid);\n}\n\nfunction deleteSessionByUuid(db: Database, sessionUuid: string): void {\n db.run(\"DELETE FROM sessions_fts WHERE session_uuid = ?\", [sessionUuid]);\n db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [sessionUuid]);\n db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [sessionUuid]);\n db.run(\"DELETE FROM sessions WHERE session_uuid = ?\", [sessionUuid]);\n}\n\nexport function replaceSession(\n db: Database,\n session: ParsedSession,\n rawFileMtime: number,\n rawFileSize: number,\n indexVersion: string,\n): void {\n const tx = db.transaction(() => {\n const existing = db\n .query<{ id: number }, [string, string]>(\"SELECT id FROM sessions WHERE session_uuid = ? OR file_path = ? LIMIT 1\")\n .get(session.sessionUuid, session.filePath) as { id: number } | null;\n\n if (existing) {\n db.run(\n `\n UPDATE sessions\n SET session_uuid = ?, file_path = ?, title = ?, summary_text = ?, compact_text = ?, reasoning_summary_text = ?,\n cwd = ?, model = ?, started_at = ?, ended_at = ?,\n message_count = ?, raw_file_mtime = ?, raw_file_size = ?, index_version = ?, updated_at = CURRENT_TIMESTAMP\n WHERE id = ?\n `,\n [\n session.sessionUuid,\n session.filePath,\n session.title,\n session.summaryText,\n session.compactText ?? \"\",\n session.reasoningSummaryText ?? \"\",\n session.cwd,\n session.model,\n session.startedAt,\n session.endedAt,\n session.messages.length,\n rawFileMtime,\n rawFileSize,\n indexVersion,\n existing.id,\n ],\n );\n } else {\n db.run(\n `\n INSERT INTO sessions (\n session_uuid, file_path, title, summary_text, compact_text, reasoning_summary_text,\n cwd, model, started_at, ended_at,\n message_count, raw_file_mtime, raw_file_size, index_version\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n `,\n [\n session.sessionUuid,\n session.filePath,\n session.title,\n session.summaryText,\n session.compactText ?? \"\",\n session.reasoningSummaryText ?? \"\",\n session.cwd,\n session.model,\n session.startedAt,\n session.endedAt,\n session.messages.length,\n rawFileMtime,\n rawFileSize,\n indexVersion,\n ],\n );\n }\n\n const sessionRow = db\n .query<{ id: number }, [string]>(\"SELECT id FROM sessions WHERE session_uuid = ? LIMIT 1\")\n .get(session.sessionUuid) as { id: number };\n\n db.run(\"DELETE FROM messages_fts WHERE session_uuid = ?\", [session.sessionUuid]);\n db.run(\"DELETE FROM messages WHERE session_uuid = ?\", [session.sessionUuid]);\n db.run(\"DELETE FROM sessions_fts WHERE rowid = ? OR session_uuid = ?\", [sessionRow.id, session.sessionUuid]);\n\n db.run(\n `\n INSERT INTO sessions_fts(rowid, title, summary_text, compact_text, reasoning_summary_text, session_uuid)\n VALUES (?, ?, ?, ?, ?, ?)\n `,\n [\n sessionRow.id,\n tokenizedText(session.title),\n tokenizedText(session.summaryText),\n tokenizedText(session.compactText ?? \"\"),\n tokenizedText(session.reasoningSummaryText ?? \"\"),\n session.sessionUuid,\n ],\n );\n\n const messageStmt = db.prepare<unknown, [number, string, number, string, string, string, string]>(`\n INSERT INTO messages (session_id, session_uuid, seq, role, content_text, timestamp, source_kind)\n VALUES (?, ?, ?, ?, ?, ?, ?)\n `);\n const ftsStmt = db.prepare<unknown, [number, string, string, number, string, string]>(`\n INSERT INTO messages_fts(rowid, content_text, session_uuid, seq, role, timestamp)\n VALUES (?, ?, ?, ?, ?, ?)\n `);\n\n for (const message of session.messages) {\n const result = messageStmt.run(\n sessionRow.id,\n session.sessionUuid,\n message.seq,\n message.role,\n message.contentText,\n message.timestamp,\n message.sourceKind,\n );\n const messageId = Number(result.lastInsertRowid);\n // Feed the FTS index with tokenized text so that CJK runs are split\n // into bigrams by tokenize(). Stored content in messages.content_text\n // stays raw for display.\n ftsStmt.run(\n messageId,\n tokenizedText(message.contentText),\n session.sessionUuid,\n message.seq,\n message.role,\n message.timestamp,\n );\n }\n });\n\n tx();\n}\n\nexport function getSessionRecord(db: Database, sessionUuid: string): SessionRecord | null {\n const row = db\n .query<SessionRecord & { filePath: string }, [string]>(`\n SELECT\n session_uuid AS sessionUuid,\n file_path AS filePath,\n title,\n summary_text AS summaryText,\n cwd,\n model,\n started_at AS startedAt,\n ended_at AS endedAt,\n message_count AS messageCount\n FROM sessions\n WHERE session_uuid = ?\n LIMIT 1\n `)\n .get(sessionUuid) as (SessionRecord & { filePath: string }) | null;\n\n if (!row) return null;\n return row;\n}\n\nfunction ensureTextColumn(db: Database, tableName: string, columnName: string): void {\n const columns = db\n .query(`PRAGMA table_info(${tableName})`)\n .all() as Array<{ name?: string }>;\n\n if (columns.some((column) => column.name === columnName)) return;\n db.run(`ALTER TABLE ${tableName} ADD COLUMN ${columnName} TEXT NOT NULL DEFAULT ''`);\n}\n\nexport function getMessagesForRange(\n db: Database,\n sessionUuid: string,\n startSeq: number,\n endSeq: number,\n): MessageRecord[] {\n return db\n .query<MessageRecord, [string, number, number]>(`\n SELECT\n session_uuid AS sessionUuid,\n seq,\n role,\n content_text AS contentText,\n timestamp,\n source_kind AS sourceKind\n FROM messages\n WHERE session_uuid = ? AND seq BETWEEN ? AND ?\n ORDER BY seq\n `)\n .all(sessionUuid, startSeq, endSeq) as MessageRecord[];\n}\n\nexport function getMessagesForPage(\n db: Database,\n sessionUuid: string,\n offset: number,\n limit: number,\n): MessageRecord[] {\n return db\n .query<MessageRecord, [string, number, number]>(`\n SELECT\n session_uuid AS sessionUuid,\n seq,\n role,\n content_text AS contentText,\n timestamp,\n source_kind AS sourceKind\n FROM messages\n WHERE session_uuid = ?\n ORDER BY seq\n LIMIT ? OFFSET ?\n `)\n .all(sessionUuid, limit, offset) as MessageRecord[];\n}\n\nexport function listSessions(db: Database, query: SessionListQuery): SessionListEntry[] {\n const conditions: string[] = [];\n const params: SqlParams = [];\n if (query.cwd) {\n // Substring match rather than prefix/equality: agent callers often pass\n // the trailing segment of a project path, not the full canonical path.\n conditions.push(\"lower(cwd) LIKE ? ESCAPE '\\\\'\");\n params.push(`%${escapeLike(query.cwd.toLowerCase())}%`);\n }\n if (query.since) {\n conditions.push(\"ended_at >= ?\");\n params.push(query.since);\n }\n const where = conditions.length > 0 ? `WHERE ${conditions.join(\" AND \")}` : \"\";\n\n const orderColumn = query.sort === \"started\"\n ? \"started_at\"\n : query.sort === \"messages\"\n ? \"message_count\"\n : \"ended_at\";\n\n params.push(query.limit);\n\n return db\n .query<SessionListEntry, typeof params>(`\n SELECT\n session_uuid AS sessionUuid,\n title,\n summary_text AS summaryText,\n cwd,\n started_at AS startedAt,\n ended_at AS endedAt,\n message_count AS messageCount\n FROM sessions\n ${where}\n ORDER BY ${orderColumn} DESC\n LIMIT ?\n `)\n .all(...params) as SessionListEntry[];\n}\n\nexport function getStatsCounts(db: Database): {\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n lastSyncAt: string | null;\n} {\n const row = db\n .query(`\n SELECT\n COUNT(*) AS sessionCount,\n COALESCE(SUM(message_count), 0) AS messageCount,\n MIN(started_at) AS earliestStartedAt,\n MAX(ended_at) AS latestEndedAt,\n MAX(updated_at) AS lastSyncAt\n FROM sessions\n `)\n .get() as {\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n lastSyncAt: string | null;\n };\n return row;\n}\n\nexport function getTopCwds(db: Database, limit: number): CwdCount[] {\n return db\n .query<CwdCount, [number]>(`\n SELECT cwd, COUNT(*) AS count\n FROM sessions\n WHERE cwd != ''\n GROUP BY cwd\n ORDER BY count DESC, cwd ASC\n LIMIT ?\n `)\n .all(limit) as CwdCount[];\n}\n\nfunction escapeLike(value: string): string {\n return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n}\n","numLines":460,"startLine":1,"totalLines":460}},"sourceToolAssistantUUID":"380b2c55-266a-4df1-964e-ca4238a1ed58","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"ea89584c-a4f0-495f-9136-765d12db8753","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01NvFUz35GBoyvrtZgxwKjfx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D5DfhJJ5BqMPszq1PB8RZT","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.ts","old_string":"export function findSessions(\n dbPath: string,\n query: string,\n limit: number,\n): { query: string; results: FindResult[] } {\n const db = openReadDb(dbPath);\n const recallLimit = Math.max(limit * 12, 50);\n const rawRows = [\n ...searchMessageHits(db, query, recallLimit),\n ...searchSessionHits(db, query, recallLimit),\n ];\n const results = rerankHits(rawRows, query, limit);\n db.close();\n return { query, results };\n}","new_string":"export function findSessions(\n dbPath: string,\n query: string,\n limit: number,\n): { query: string; results: FindResult[] } {\n return withReadDb(dbPath, (db) => {\n const recallLimit = Math.max(limit * 12, 50);\n const rawRows = [\n ...searchMessageHits(db, query, recallLimit),\n ...searchSessionHits(db, query, recallLimit),\n ];\n const results = rerankHits(rawRows, query, limit);\n return { query, results };\n });\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":110325,"output_tokens":4991,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4991,"cache_read_input_tokens":110325,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"976467de-e4f1-4f1b-884b-561dad361daa","timestamp":"2026-04-27T04:05:33.251Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"3428abd9-b8df-46c1-8f24-f003c578c983","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01NvFUz35GBoyvrtZgxwKjfx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J3n3eXsHz814YcnB6D1FE1","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.ts","old_string":" const db = openReadDb(dbPath);\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n db.close();\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n}","new_string":" return withReadDb(dbPath, (db) => {\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n });\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":110325,"output_tokens":4991,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4991,"cache_read_input_tokens":110325,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"12b0dfd9-7ded-49c1-80b4-1f0b79fe28fe","timestamp":"2026-04-27T04:05:37.075Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"12b0dfd9-7ded-49c1-80b4-1f0b79fe28fe","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J3n3eXsHz814YcnB6D1FE1","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.ts has been updated successfully."}]},"uuid":"7dce9193-6a0a-4f28-a04c-43ef1c869453","timestamp":"2026-04-27T04:05:37.109Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","oldString":" const db = openReadDb(dbPath);\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n db.close();\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n}","newString":" return withReadDb(dbPath, (db) => {\n const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n\n const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n const rangeEndSeq = anchorSeq + options.after;\n const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };\n });\n}","originalFile":null,"structuredPatch":[{"oldStart":53,"oldLines":16,"newStart":53,"newLines":16,"lines":[" rangeEndSeq: number;"," messages: ReturnType<typeof getMessagesForRange>;"," } {","- const db = openReadDb(dbPath);","- const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);","- const session = getSessionRecord(db, sessionUuid);","- if (!session) throw new Error(`session not found: ${sessionUuid}`);","+ return withReadDb(dbPath, (db) => {","+ const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);","+ const session = getSessionRecord(db, sessionUuid);","+ if (!session) throw new Error(`session not found: ${sessionUuid}`);"," ","- const rangeStartSeq = Math.max(0, anchorSeq - options.before);","- const rangeEndSeq = anchorSeq + options.after;","- const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);","- db.close();","- return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };","+ const rangeStartSeq = Math.max(0, anchorSeq - options.before);","+ const rangeEndSeq = anchorSeq + options.after;","+ const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);","+ return { session, anchorSeq, rangeStartSeq, rangeEndSeq, messages };","+ });"," }"," "," export function getMessagePage("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"12b0dfd9-7ded-49c1-80b4-1f0b79fe28fe","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"c7d77ee2-debf-4006-990f-36ef2b2edbc5","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A2DgAvvXSnS3vRR9h7kbdw","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.ts has been updated successfully."}]},"uuid":"a327cf6f-2629-4e59-8a59-679fe4d9b0f7","timestamp":"2026-04-27T04:05:40.311Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","oldString":" const db = openReadDb(dbPath);\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n db.close();\n return { session, offset, limit, totalCount, hasMore, messages };\n}","newString":" return withReadDb(dbPath, (db) => {\n const session = getSessionRecord(db, sessionUuid);\n if (!session) throw new Error(`session not found: ${sessionUuid}`);\n const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n const totalCount = session.messageCount;\n const hasMore = offset + messages.length < totalCount;\n return { session, offset, limit, totalCount, hasMore, messages };\n });\n}","originalFile":null,"structuredPatch":[{"oldStart":78,"oldLines":14,"newStart":78,"newLines":14,"lines":[" hasMore: boolean;"," messages: ReturnType<typeof getMessagesForPage>;"," } {","- const db = openReadDb(dbPath);","- const session = getSessionRecord(db, sessionUuid);","- if (!session) throw new Error(`session not found: ${sessionUuid}`);","- const messages = getMessagesForPage(db, sessionUuid, offset, limit);","- const totalCount = session.messageCount;","- const hasMore = offset + messages.length < totalCount;","- db.close();","- return { session, offset, limit, totalCount, hasMore, messages };","+ return withReadDb(dbPath, (db) => {","+ const session = getSessionRecord(db, sessionUuid);","+ if (!session) throw new Error(`session not found: ${sessionUuid}`);","+ const messages = getMessagesForPage(db, sessionUuid, offset, limit);","+ const totalCount = session.messageCount;","+ const hasMore = offset + messages.length < totalCount;","+ return { session, offset, limit, totalCount, hasMore, messages };","+ });"," }"," "," export function listSessionSummaries("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c7d77ee2-debf-4006-990f-36ef2b2edbc5","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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Between our `existing` read\n// and the actual `rmSync` call, another sync process can re-create the lock.\n// Re-read and compare pid+createdAt: only delete the lock file if it's still\n// the same one we judged dead. Exported for unit tests.\nexport function tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {\n const reChecked = readLockInfo(lockPath);\n if (!reChecked) return true;\n if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {\n return false;\n }\n removeLockIfPresent(lockPath);\n return true;\n}","originalFile":"import { readFileSync, rmSync, writeFileSync } from \"node:fs\";\n\nconst LOCK_SUFFIX = \".sync.lock\";\nconst LOCK_WAIT_TIMEOUT_MS = 10_000;\nconst LOCK_POLL_INTERVAL_MS = 100;\n\ninterface SyncLockInfo {\n pid: number;\n createdAt: string;\n}\n\nexport class SyncLockTimeoutError extends Error {\n constructor(lockPath: string, info: SyncLockInfo | null) {\n const owner = info ? `pid ${info.pid} since ${info.createdAt}` : \"unknown owner\";\n super(`sync already running: ${owner} (${lockPath})`);\n this.name = \"SyncLockTimeoutError\";\n }\n}\n\nexport function syncLockPath(dbPath: string): string {\n return `${dbPath}${LOCK_SUFFIX}`;\n}\n\nexport async function withSyncLock<T>(dbPath: string, fn: () => Promise<T>): Promise<T> {\n const release = await acquireSyncLock(syncLockPath(dbPath));\n try {\n return await fn();\n } finally {\n release();\n }\n}\n\nasync function acquireSyncLock(lockPath: string): Promise<() => void> {\n const deadline = Date.now() + LOCK_WAIT_TIMEOUT_MS;\n const lockInfo: SyncLockInfo = {\n pid: process.pid,\n createdAt: new Date().toISOString(),\n };\n\n while (true) {\n try {\n writeFileSync(lockPath, JSON.stringify(lockInfo), { flag: \"wx\" });\n return () => releaseSyncLock(lockPath, lockInfo);\n } catch (error) {\n if (!isAlreadyExistsError(error)) throw error;\n }\n\n const existing = readLockInfo(lockPath);\n if (existing && !isProcessAlive(existing.pid)) {\n removeLockIfPresent(lockPath);\n continue;\n }\n\n if (Date.now() >= deadline) {\n throw new SyncLockTimeoutError(lockPath, existing);\n }\n\n await sleep(LOCK_POLL_INTERVAL_MS);\n }\n}\n\nfunction releaseSyncLock(lockPath: string, lockInfo: SyncLockInfo): void {\n const existing = readLockInfo(lockPath);\n if (!existing) return;\n if (existing.pid !== lockInfo.pid || existing.createdAt !== lockInfo.createdAt) return;\n removeLockIfPresent(lockPath);\n}\n\nfunction readLockInfo(lockPath: string): SyncLockInfo | null {\n try {\n const raw = readFileSync(lockPath, \"utf8\");\n const parsed = JSON.parse(raw) as Partial<SyncLockInfo>;\n if (typeof parsed.pid !== \"number\" || typeof parsed.createdAt !== \"string\") return null;\n return { pid: parsed.pid, createdAt: parsed.createdAt };\n } catch {\n return null;\n }\n}\n\nfunction isProcessAlive(pid: number): boolean {\n try {\n process.kill(pid, 0);\n return true;\n } catch {\n return false;\n }\n}\n\nfunction removeLockIfPresent(lockPath: string): void {\n try {\n rmSync(lockPath);\n } catch {\n // Ignore already-removed locks and let callers retry.\n }\n}\n\nfunction isAlreadyExistsError(error: unknown): boolean {\n return error instanceof Error && \"code\" in error && error.code === \"EEXIST\";\n}\n\nfunction sleep(ms: number): Promise<void> {\n return new Promise((resolve) => {\n setTimeout(resolve, ms);\n });\n}\n","structuredPatch":[{"oldStart":47,"oldLines":8,"newStart":47,"newLines":10,"lines":[" "," const existing = readLockInfo(lockPath);"," if (existing && !isProcessAlive(existing.pid)) {","- removeLockIfPresent(lockPath);","- continue;","+ // If tryRemoveStaleLock returns false, another process took over the","+ // lock between our read and our cleanup attempt — fall through to the","+ // poll/timeout branch instead of clobbering its lock file.","+ if (tryRemoveStaleLock(lockPath, existing)) continue;"," }"," "," if (Date.now() >= deadline) {"]},{"oldStart":66,"oldLines":6,"newStart":68,"newLines":20,"lines":[" removeLockIfPresent(lockPath);"," }"," ","+// Why: avoid TOCTOU when clearing a stale lock. 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Exported for unit tests.","+export function tryRemoveStaleLock(lockPath: string, expected: SyncLockInfo): boolean {","+ const reChecked = readLockInfo(lockPath);","+ if (!reChecked) return true;","+ if (reChecked.pid !== expected.pid || reChecked.createdAt !== expected.createdAt) {","+ return false;","+ }","+ removeLockIfPresent(lockPath);","+ return true;","+}","+"," function readLockInfo(lockPath: string): SyncLockInfo | null {"," try {"," const raw = readFileSync(lockPath, \"utf8\");"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a0b09efa-ecc1-4824-a5f4-c581d4b29052","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"1b1eec55-8947-4326-b37d-8030502fd64e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Nrfao7TSiv88q5fqqFe6eQ","type":"message","role":"assistant","content":[{"type":"text","text":"进入 P0-4 步骤 2:cli.ts 包 try/catch + 加 emitCurrentError。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":120273,"output_tokens":1294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1294,"cache_read_input_tokens":120273,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"3d7519cc-ee4b-49f3-a28a-7b8e5c4cc86d","timestamp":"2026-04-27T04:06:36.733Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"3d7519cc-ee4b-49f3-a28a-7b8e5c4cc86d","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Nrfao7TSiv88q5fqqFe6eQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01USLeMqifRRB8bwC9DJofNp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.ts","old_string":"import {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";","new_string":"import {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":120273,"output_tokens":1294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1294,"cache_read_input_tokens":120273,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"aaab7914-ead8-4f73-9c99-93d0b891da32","timestamp":"2026-04-27T04:06:39.042Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"aaab7914-ead8-4f73-9c99-93d0b891da32","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01USLeMqifRRB8bwC9DJofNp","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"cd8500a8-5270-4798-b78e-64cad2f652dd","timestamp":"2026-04-27T04:06:39.055Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"aaab7914-ead8-4f73-9c99-93d0b891da32","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01USLeMqifRRB8bwC9DJofNp","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated successfully."}]},"uuid":"e5216f9d-8102-4074-8fc6-7e0e800b1352","timestamp":"2026-04-27T04:06:39.062Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","oldString":"import {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";","newString":"import {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n","structuredPatch":[{"oldStart":15,"oldLines":6,"newStart":15,"newLines":7,"lines":[" import { SyncError, syncSessions } from \"./indexer\";"," import {"," collectStats,","+ CurrentStateDbError,"," findSessions,"," getCurrentSessions,"," getMessagePage,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"aaab7914-ead8-4f73-9c99-93d0b891da32","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"e5216f9d-8102-4074-8fc6-7e0e800b1352","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Nrfao7TSiv88q5fqqFe6eQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Gd2ufta3srZnjXMh33nb9b","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.ts","old_string":" .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });","new_string":" .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":252,"cache_read_input_tokens":120273,"output_tokens":1294,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":252},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1294,"cache_read_input_tokens":120273,"cache_creation_input_tokens":252,"cache_creation":{"ephemeral_5m_input_tokens":252,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"798216c0-45a5-4e1e-8200-b03619948b6f","timestamp":"2026-04-27T04:06:43.616Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"798216c0-45a5-4e1e-8200-b03619948b6f","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_01Gd2ufta3srZnjXMh33nb9b","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"56276e9b-3754-4e01-aace-ab8e63f1e4d3","timestamp":"2026-04-27T04:06:43.636Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"798216c0-45a5-4e1e-8200-b03619948b6f","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Gd2ufta3srZnjXMh33nb9b","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated successfully."}]},"uuid":"56b339a8-92d2-4256-874a-7a6c667edd5e","timestamp":"2026-04-27T04:06:43.640Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","oldString":" .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });","newString":" .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n if (!existsSync(options.stateDb)) {\n throw new Error(`state db not found: ${options.stateDb}`);\n }\n\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n","structuredPatch":[{"oldStart":41,"oldLines":16,"newStart":41,"newLines":24,"lines":[" .option(\"--json\", \"输出 JSON\")"," .action((options) => {"," const cwd = options.cwd ?? process.cwd();","- if (!existsSync(options.stateDb)) {","- throw new Error(`state db not found: ${options.stateDb}`);","+ const jsonMode = Boolean(options.json);","+ try {","+ if (!existsSync(options.stateDb)) {","+ throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);","+ }","+ const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));","+ if (jsonMode) {","+ console.log(JSON.stringify(result, null, 2));","+ return;","+ }","+ printCurrentSessions(result.cwd, result.candidates);","+ } catch (error) {","+ if (error instanceof CurrentStateDbError) {","+ emitCurrentError(error, jsonMode);","+ return;","+ }","+ throw error;"," }","-","- const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));","- if (options.json) {","- console.log(JSON.stringify(result, null, 2));","- return;","- }","- printCurrentSessions(result.cwd, result.candidates);"," });"," "," program"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"798216c0-45a5-4e1e-8200-b03619948b6f","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"2e141f07-137f-4436-82e5-02f47d222235","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012D5xpovmmENJMsJYcYNjUS","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated successfully."}]},"uuid":"28036a7e-e8dc-4462-ad94-a65e0e6d80be","timestamp":"2026-04-27T04:06:46.650Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","oldString":"function normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}","newString":"function normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n\nfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {\n if (jsonMode) {\n console.log(\n JSON.stringify(\n { error: { code: \"state_db_unavailable\", message: error.message } },\n null,\n 2,\n ),\n );\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n}","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(\"0.1.0\");\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? 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210
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211
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{"parentUuid":"f25bf420-2b0d-4bd6-a125-f78d017441ad","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:TaskUpdate","toolUseID":"toolu_01KAnM87AkWUAaygsR5tNjhQ","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"9d813e72-9af0-41b3-be0b-1537d05652dd","timestamp":"2026-04-27T04:06:51.755Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
212
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{"parentUuid":"f25bf420-2b0d-4bd6-a125-f78d017441ad","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KAnM87AkWUAaygsR5tNjhQ","type":"tool_result","content":"Updated task #5 status"}]},"uuid":"532fcdb8-21b4-4136-a18f-703975d70b35","timestamp":"2026-04-27T04:06:51.757Z","toolUseResult":{"success":true,"taskId":"5","updatedFields":["status"],"statusChange":{"from":"in_progress","to":"completed"},"verificationNudgeNeeded":false},"sourceToolAssistantUUID":"f25bf420-2b0d-4bd6-a125-f78d017441ad","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
213
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{"parentUuid":"532fcdb8-21b4-4136-a18f-703975d70b35","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_013UcCuLwM7KTbVCNiRx1uV4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W35UyBVhVeZJEK2D7D6qtF","name":"TaskUpdate","input":{"taskId":"6","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1478,"cache_read_input_tokens":120525,"output_tokens":449,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1478},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":449,"cache_read_input_tokens":120525,"cache_creation_input_tokens":1478,"cache_creation":{"ephemeral_5m_input_tokens":1478,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d4d1f50f-a4ca-480e-a483-2214ba882b04","timestamp":"2026-04-27T04:06:52.110Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
214
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215
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{"parentUuid":"d4d1f50f-a4ca-480e-a483-2214ba882b04","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W35UyBVhVeZJEK2D7D6qtF","type":"tool_result","content":"Updated task #6 status"}]},"uuid":"5c3256f3-bc97-4d08-b590-e2496f1d0654","timestamp":"2026-04-27T04:06:52.118Z","toolUseResult":{"success":true,"taskId":"6","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"},"verificationNudgeNeeded":false},"sourceToolAssistantUUID":"d4d1f50f-a4ca-480e-a483-2214ba882b04","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
216
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{"parentUuid":"5c3256f3-bc97-4d08-b590-e2496f1d0654","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_013UcCuLwM7KTbVCNiRx1uV4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ANw51PMYvAMcxZea7CTxzw","name":"Bash","input":{"command":"grep -n \"^import\\|^test\\|getCurrentSessions\\|describe\\|tmp\\|mkdtemp\\|tempDir\" /Users/envvar/work/repos/cxs/query.test.ts | head -50","description":"Inspect query.test.ts structure"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1478,"cache_read_input_tokens":120525,"output_tokens":449,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1478},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":449,"cache_read_input_tokens":120525,"cache_creation_input_tokens":1478,"cache_creation":{"ephemeral_5m_input_tokens":1478,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"688880f5-a24f-40c0-947f-ea5164aba8d5","timestamp":"2026-04-27T04:06:53.934Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
217
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{"parentUuid":"688880f5-a24f-40c0-947f-ea5164aba8d5","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01ANw51PMYvAMcxZea7CTxzw","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"7e0e3eae-6213-4a1a-81ec-cdbf457ae528","timestamp":"2026-04-27T04:06:53.957Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
218
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{"parentUuid":"7e0e3eae-6213-4a1a-81ec-cdbf457ae528","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01ANw51PMYvAMcxZea7CTxzw","hookEvent":"PreToolUse","content":"","stdout":"{\n \"hookSpecificOutput\": {\n \"hookEventName\": \"PreToolUse\",\n \"permissionDecision\": \"allow\",\n \"permissionDecisionReason\": \"RTK auto-rewrite\",\n \"updatedInput\": {\n \"command\": \"rtk grep -n \\\"^import\\\\|^test\\\\|getCurrentSessions\\\\|describe\\\\|tmp\\\\|mkdtemp\\\\|tempDir\\\" /Users/envvar/work/repos/cxs/query.test.ts | head -50\",\n \"description\": \"Inspect query.test.ts structure\"\n }\n }\n}\n","stderr":"","exitCode":0,"command":"/Users/envvar/.claude/hooks/rtk-rewrite.sh","durationMs":156},"type":"attachment","uuid":"b268c3b5-35be-438a-bd27-998ce5395c49","timestamp":"2026-04-27T04:06:54.091Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
219
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{"parentUuid":"688880f5-a24f-40c0-947f-ea5164aba8d5","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ANw51PMYvAMcxZea7CTxzw","type":"tool_result","content":"59 matches in 23F:\n\n[file] /Users/envvar/work/repos/cxs/query.test.ts (37):\n 8: import { openReadDb, openWriteDb, replaceSession } from \"./db\";\n 9: import { INDEX_VERSION } from \"./env\";\n 10: import { syncSessions } from \"./indexer\";\n 11: import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePa...\n 16: for (const dir of tempDirs.splice(0)) {\n 21: describe(\"cxs retrieval flow\", () => {\n 23: const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n 24: tempDirs.push(base);\n 38: [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"old...\n 42: [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"new...\n 46: [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other...\n 50: const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n 51: expect(result.cwd).toBe(\"/tmp/project\");\n 56: expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n 60: const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n 61: tempDirs.push(base);\n 110: const base = mkdtempSync(join(tmpdir(), \"cxs-query-\"));\n 111: tempDirs.push(base);\n 143: const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\n 144: tempDirs.push(base);\n 179: const base = mkdtempSync(join(tmpdir(), \"cxs-broad-\"));\n 180: tempDirs.push(base);\n 215: const base = mkdtempSync(join(tmpdir(), \"cxs-summary-\"));\n 216: tempDirs.push(base);\n 251: const base = mkdtempSync(join(tmpdir(), \"cxs-session-title-\"));\n +12\n\n[file] 1 (1):\n 0: test\";\n\n[file] 118 (1):\n 0: \"33333333-3333-4333-8333-333333333333\", cwd: \"/tmp/project-c\" }),\n\n[file] 13 (1):\n 0: string[] = [];\n\n[file] 151 (1):\n 0: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n\n[file] 187 (1):\n 0: \"cccccccc-cccc-4ccc-8ccc-cccccccccccc\", cwd: \"/tmp/deploy-title\" }),\n\n[file] 198 (1):\n 0: \"dddddddd-dddd-4ddd-8ddd-dddddddddddd\", cwd: \"/tmp/deploy-incident\" }),\n\n[file] 2 (1):\n 0: sqlite\";\n[rerun: b6]","is_error":false}]},"uuid":"8ee4e561-2981-4ee2-a5ac-fa8986f303b6","timestamp":"2026-04-27T04:06:54.195Z","toolUseResult":{"stdout":"59 matches in 23F:\n\n[file] /Users/envvar/work/repos/cxs/query.test.ts (37):\n 8: import { openReadDb, openWriteDb, replaceSession } from \"./db\";\n 9: import { INDEX_VERSION } from \"./env\";\n 10: import { syncSessions } from \"./indexer\";\n 11: import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePa...\n 16: for (const dir of tempDirs.splice(0)) {\n 21: describe(\"cxs retrieval flow\", () => {\n 23: const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n 24: tempDirs.push(base);\n 38: [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"old...\n 42: [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"new...\n 46: [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other...\n 50: const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n 51: expect(result.cwd).toBe(\"/tmp/project\");\n 56: expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n 60: const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n 61: tempDirs.push(base);\n 110: const base = mkdtempSync(join(tmpdir(), \"cxs-query-\"));\n 111: tempDirs.push(base);\n 143: const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\n 144: tempDirs.push(base);\n 179: const base = mkdtempSync(join(tmpdir(), \"cxs-broad-\"));\n 180: tempDirs.push(base);\n 215: const base = mkdtempSync(join(tmpdir(), \"cxs-summary-\"));\n 216: tempDirs.push(base);\n 251: const base = mkdtempSync(join(tmpdir(), \"cxs-session-title-\"));\n +12\n\n[file] 1 (1):\n 0: test\";\n\n[file] 118 (1):\n 0: \"33333333-3333-4333-8333-333333333333\", cwd: \"/tmp/project-c\" }),\n\n[file] 13 (1):\n 0: string[] = [];\n\n[file] 151 (1):\n 0: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n\n[file] 187 (1):\n 0: \"cccccccc-cccc-4ccc-8ccc-cccccccccccc\", cwd: \"/tmp/deploy-title\" }),\n\n[file] 198 (1):\n 0: \"dddddddd-dddd-4ddd-8ddd-dddddddddddd\", cwd: \"/tmp/deploy-incident\" }),\n\n[file] 2 (1):\n 0: sqlite\";","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"688880f5-a24f-40c0-947f-ea5164aba8d5","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
220
+
{"parentUuid":"8ee4e561-2981-4ee2-a5ac-fa8986f303b6","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01LZbGLfAk526gxBsMUkzrTr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bz4toJHRdfZr9aD51xK3a2","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/query.test.ts","offset":1,"limit":75},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1619,"cache_read_input_tokens":122003,"output_tokens":130,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1619},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":130,"cache_read_input_tokens":122003,"cache_creation_input_tokens":1619,"cache_creation":{"ephemeral_5m_input_tokens":1619,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"e27628d7-195e-4ec4-b7b8-dc78d0d83cbc","timestamp":"2026-04-27T04:06:57.005Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
221
+
{"parentUuid":"e27628d7-195e-4ec4-b7b8-dc78d0d83cbc","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01Bz4toJHRdfZr9aD51xK3a2","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"5df43933-71ac-44e9-b043-120d1fd2d5dd","timestamp":"2026-04-27T04:06:57.012Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
222
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{"parentUuid":"e27628d7-195e-4ec4-b7b8-dc78d0d83cbc","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bz4toJHRdfZr9aD51xK3a2","type":"tool_result","content":"1\timport { afterEach, describe, expect, test } from \"bun:test\";\n2\timport { Database } from \"bun:sqlite\";\n3\timport { spawn } from \"node:child_process\";\n4\timport { mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\n5\timport { tmpdir } from \"node:os\";\n6\timport { join } from \"node:path\";\n7\timport { pathToFileURL } from \"node:url\";\n8\timport { openReadDb, openWriteDb, replaceSession } from \"./db\";\n9\timport { INDEX_VERSION } from \"./env\";\n10\timport { syncSessions } from \"./indexer\";\n11\timport { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";\n12\t\n13\tconst tempDirs: string[] = [];\n14\t\n15\tafterEach(() => {\n16\t for (const dir of tempDirs.splice(0)) {\n17\t rmSync(dir, { recursive: true, force: true });\n18\t }\n19\t});\n20\t\n21\tdescribe(\"cxs retrieval flow\", () => {\n22\t test(\"current returns latest thread candidates for cwd from Codex state db\", () => {\n23\t const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n24\t tempDirs.push(base);\n25\t const stateDbPath = join(base, \"state.sqlite\");\n26\t const db = new Database(stateDbPath);\n27\t db.run(`\n28\t CREATE TABLE threads (\n29\t id TEXT PRIMARY KEY,\n30\t rollout_path TEXT NOT NULL,\n31\t cwd TEXT NOT NULL,\n32\t title TEXT NOT NULL,\n33\t updated_at_ms INTEGER\n34\t )\n35\t `);\n36\t db.run(\n37\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n38\t [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"older\", 100],\n39\t );\n40\t db.run(\n41\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n42\t [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"newer\", 200],\n43\t );\n44\t db.run(\n45\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n46\t [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other\", 300],\n47\t );\n48\t db.close();\n49\t\n50\t const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n51\t expect(result.cwd).toBe(\"/tmp/project\");\n52\t expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n53\t \"22222222-2222-4222-8222-222222222222\",\n54\t \"11111111-1111-4111-8111-111111111111\",\n55\t ]);\n56\t expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n57\t });\n58\t\n59\t test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {\n60\t const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n61\t tempDirs.push(base);\n62\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n63\t mkdirSync(sessionsRoot, { recursive: true });\n64\t\n65\t writeFileSync(\n66\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-11111111-1111-4111-8111-111111111111.jsonl\"),\n67\t [\n68\t line(\"session_meta\", { id: \"11111111-1111-4111-8111-111111111111\", cwd: \"/tmp/project-a\" }),\n69\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n70\t line(\"event_msg\", { type: \"user_message\", message: \"排查 fly deploy 失败\" }),\n71\t line(\"event_msg\", { type: \"agent_message\", message: \"先看 health check 和 readback\" }),\n72\t line(\"event_msg\", { type: \"user_message\", message: \"health check 还是 500\" }),\n73\t line(\"event_msg\", { type: \"agent_message\", message: \"继续检查 secrets readback\" }),\n74\t ].join(\"\\n\"),\n75\t );"}]},"uuid":"62d3596b-ad33-4230-a24c-ac05da8436f2","timestamp":"2026-04-27T04:06:57.014Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","content":"import { afterEach, describe, expect, test } from \"bun:test\";\nimport { Database } from \"bun:sqlite\";\nimport { spawn } from \"node:child_process\";\nimport { mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { pathToFileURL } from \"node:url\";\nimport { openReadDb, openWriteDb, replaceSession } from \"./db\";\nimport { INDEX_VERSION } from \"./env\";\nimport { syncSessions } from \"./indexer\";\nimport { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";\n\nconst tempDirs: string[] = [];\n\nafterEach(() => {\n for (const dir of tempDirs.splice(0)) {\n rmSync(dir, { recursive: true, force: true });\n }\n});\n\ndescribe(\"cxs retrieval flow\", () => {\n test(\"current returns latest thread candidates for cwd from Codex state db\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n rollout_path TEXT NOT NULL,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL,\n updated_at_ms INTEGER\n )\n `);\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"older\", 100],\n );\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"newer\", 200],\n );\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other\", 300],\n );\n db.close();\n\n const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-11111111-1111-4111-8111-111111111111.jsonl\"),\n [\n line(\"session_meta\", { id: \"11111111-1111-4111-8111-111111111111\", cwd: \"/tmp/project-a\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"排查 fly deploy 失败\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先看 health check 和 readback\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"health check 还是 500\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"继续检查 secrets readback\" }),\n ].join(\"\\n\"),\n );","numLines":75,"startLine":1,"totalLines":615}},"sourceToolAssistantUUID":"e27628d7-195e-4ec4-b7b8-dc78d0d83cbc","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"0048b2d9-a622-4fae-8b30-d0d337ecac3b","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016MC3g1YVTsJoR77FPV3Wor","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.test.ts has been updated successfully."}]},"uuid":"53d22d36-5c30-466a-8288-6d23cc2ddbb9","timestamp":"2026-04-27T04:07:05.027Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","oldString":"import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";","newString":"import {\n classifyQueryProfile,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n} from \"./query\";","originalFile":null,"structuredPatch":[{"oldStart":8,"oldLines":7,"newStart":8,"newLines":14,"lines":[" import { openReadDb, openWriteDb, replaceSession } from \"./db\";"," import { INDEX_VERSION } from \"./env\";"," import { syncSessions } from \"./indexer\";","-import { classifyQueryProfile, findSessions, getCurrentSessions, getMessagePage, getMessageRange } from \"./query\";","+import {","+ classifyQueryProfile,","+ CurrentStateDbError,","+ findSessions,","+ getCurrentSessions,","+ getMessagePage,","+ getMessageRange,","+} from \"./query\";"," "," const tempDirs: string[] = [];"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0048b2d9-a622-4fae-8b30-d0d337ecac3b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"53d22d36-5c30-466a-8288-6d23cc2ddbb9","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01HeSHYEnPP1aw9tjyZ14E1T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HeTjZPBaZVq2Sjx35o1SPB","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.test.ts","old_string":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {","new_string":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1770,"cache_read_input_tokens":123622,"output_tokens":1312,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1770},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1312,"cache_read_input_tokens":123622,"cache_creation_input_tokens":1770,"cache_creation":{"ephemeral_5m_input_tokens":1770,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"443136c8-906a-4252-a389-50bd68398294","timestamp":"2026-04-27T04:07:09.351Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"443136c8-906a-4252-a389-50bd68398294","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HeTjZPBaZVq2Sjx35o1SPB","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.test.ts has been updated successfully."}]},"uuid":"d0af1d66-c7cc-4057-b27b-e2c8dd63b3a8","timestamp":"2026-04-27T04:07:09.378Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","oldString":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {","newString":" const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n expect(result.cwd).toBe(\"/tmp/project\");\n expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"22222222-2222-4222-8222-222222222222\",\n \"11111111-1111-4111-8111-111111111111\",\n ]);\n expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n });\n\n test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });\n\n test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {","originalFile":null,"structuredPatch":[{"oldStart":63,"oldLines":6,"newStart":63,"newLines":24,"lines":[" expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");"," });"," ","+ test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {","+ const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));","+ tempDirs.push(base);","+ const stateDbPath = join(base, \"state.sqlite\");","+ const db = new Database(stateDbPath);","+ db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");","+ db.close();","+","+ let caught: unknown = null;","+ try {","+ getCurrentSessions(stateDbPath, \"/tmp/project\", 10);","+ } catch (error) {","+ caught = error;","+ }","+ expect(caught).toBeInstanceOf(CurrentStateDbError);","+ expect((caught as Error).message).toContain(\"threads\");","+ });","+"," test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {"," const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));"," tempDirs.push(base);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"443136c8-906a-4252-a389-50bd68398294","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"type":"last-prompt","lastPrompt":"继续推进 先做一个 plan","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"type":"custom-title","customTitle":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"type":"agent-name","agentName":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"parentUuid":"439c1636-0f67-4ef9-a69b-70d435387cc1","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KP7hsgcA1wCu6cMGW1qXb2","type":"tool_result","content":"1\timport { afterEach, describe, expect, test } from \"bun:test\";\n2\timport { Database } from \"bun:sqlite\";\n3\timport { chmodSync, mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\n4\timport { tmpdir } from \"node:os\";\n5\timport { join } from \"node:path\";\n6\timport { INDEX_VERSION } from \"./env\";\n7\timport { syncSessions } from \"./indexer\";\n8\t\n9\tconst tempDirs: string[] = [];\n10\tconst unreadableFiles: string[] = [];\n11\t\n12\tafterEach(() => {\n13\t for (const filePath of unreadableFiles.splice(0)) {\n14\t try {\n15\t chmodSync(filePath, 0o644);\n16\t } catch {\n17\t // ignore cleanup failures for files that already disappeared\n18\t }\n19\t }\n20\t for (const dir of tempDirs.splice(0)) {\n21\t rmSync(dir, { recursive: true, force: true });\n22\t }\n23\t});\n24\t\n25\tdescribe(\"cxs cli\", () => {\n26\t test(\"help only shows current/sync/find/read-range/read-page/list/stats\", async () => {\n27\t const result = await runCli([\"--help\"]);\n28\t expect(result.exitCode).toBe(0);\n29\t expect(result.stdout).toContain(\"current\");\n30\t expect(result.stdout).toContain(\"sync\");\n31\t expect(result.stdout).toContain(\"find\");\n32\t expect(result.stdout).toContain(\"read-range\");\n33\t expect(result.stdout).toContain(\"read-page\");\n34\t expect(result.stdout).toContain(\"list\");\n35\t expect(result.stdout).toContain(\"stats\");\n36\t expect(result.stdout).not.toContain(\"window\");\n37\t expect(result.stdout).not.toContain(\"\\n session \");\n38\t });\n39\t\n40\t test(\"current returns candidate sessions for cwd from state db\", async () => {\n41\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-\"));\n42\t tempDirs.push(base);\n43\t const stateDbPath = join(base, \"state.sqlite\");\n44\t const db = new Database(stateDbPath);\n45\t db.run(`\n46\t CREATE TABLE threads (\n47\t id TEXT PRIMARY KEY,\n48\t rollout_path TEXT NOT NULL,\n49\t cwd TEXT NOT NULL,\n50\t title TEXT NOT NULL,\n51\t updated_at_ms INTEGER\n52\t )\n53\t `);\n54\t db.run(\n55\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n56\t [\"aaaa1111-1111-4111-8111-111111111111\", \"/tmp/one.jsonl\", \"/tmp/picc\", \"older\", 100],\n57\t );\n58\t db.run(\n59\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n60\t [\"bbbb2222-2222-4222-8222-222222222222\", \"/tmp/two.jsonl\", \"/tmp/picc\", \"newer\", 200],\n61\t );\n62\t db.close();\n63\t\n64\t const result = await runCli([\n65\t \"current\",\n66\t \"--cwd\",\n67\t \"/tmp/picc\",\n68\t \"--state-db\",\n69\t stateDbPath,\n70\t \"--json\",\n71\t ]);\n72\t expect(result.exitCode).toBe(0);\n73\t const payload = JSON.parse(result.stdout) as {\n74\t cwd: string;\n75\t candidates: Array<{ sessionUuid: string; filePath: string }>;\n76\t };\n77\t expect(payload.cwd).toBe(\"/tmp/picc\");\n78\t expect(payload.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n79\t \"bbbb2222-2222-4222-8222-222222222222\",\n80\t \"aaaa1111-1111-4111-8111-111111111111\",\n81\t ]);\n82\t expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n83\t });\n84\t\n85\t test(\"find text output points to read-range\", async () => {\n86\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-\"));\n87\t tempDirs.push(base);\n88\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n89\t mkdirSync(sessionsRoot, { recursive: true });\n90\t\n91\t writeFileSync(\n92\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-44444444-4444-4444-8444-444444444444.jsonl\"),\n93\t [\n94\t line(\"session_meta\", { id: \"44444444-4444-4444-8444-444444444444\", cwd: \"/tmp/project-d\" }),\n95\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n96\t line(\"event_msg\", { type: \"user_message\", message: \"health check 一直失败\" }),\n97\t line(\"event_msg\", { type: \"agent_message\", message: \"先看 readback\" }),\n98\t ].join(\"\\n\"),\n99\t );\n100\t\n101\t const dbPath = join(base, \"index.sqlite\");\n102\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n103\t\n104\t const result = await runCli([\"find\", \"health check\", \"--db\", dbPath]);\n105\t expect(result.exitCode).toBe(0);\n106\t expect(result.stdout).toContain(\"next: cxs read-range 44444444-4444-4444-8444-444444444444 --seq 0\");\n107\t expect(result.stdout).not.toContain(\"next: cxs window\");\n108\t });\n109\t\n110\t test(\"list filters by cwd substring and respects sort\", async () => {\n111\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-list-\"));\n112\t tempDirs.push(base);\n113\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n114\t mkdirSync(sessionsRoot, { recursive: true });\n115\t\n116\t writeFileSync(\n117\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-55555555-5555-4555-8555-555555555555.jsonl\"),\n118\t [\n119\t line(\"session_meta\", { id: \"55555555-5555-4555-8555-555555555555\", cwd: \"/tmp/alpha-proj\" }),\n120\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n121\t line(\"event_msg\", { type: \"user_message\", message: \"alpha one\" }),\n122\t ].join(\"\\n\"),\n123\t );\n124\t\n125\t writeFileSync(\n126\t join(sessionsRoot, \"rollout-2026-04-21T11-00-00-66666666-6666-4666-8666-666666666666.jsonl\"),\n127\t [\n128\t line(\"session_meta\", { id: \"66666666-6666-4666-8666-666666666666\", cwd: \"/tmp/beta-proj\" }),\n129\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n130\t line(\"event_msg\", { type: \"user_message\", message: \"beta one\" }),\n131\t ].join(\"\\n\"),\n132\t );\n133\t\n134\t const dbPath = join(base, \"index.sqlite\");\n135\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n136\t\n137\t const listed = await runCli([\"list\", \"--cwd\", \"alpha\", \"--json\", \"--db\", dbPath]);\n138\t expect(listed.exitCode).toBe(0);\n139\t const payload = JSON.parse(listed.stdout) as { results: Array<{ sessionUuid: string }> };\n140\t expect(payload.results).toHaveLength(1);\n141\t expect(payload.results[0]?.sessionUuid).toBe(\"55555555-5555-4555-8555-555555555555\");\n142\t });\n143\t\n144\t test(\"stats reports counts and index_version\", async () => {\n145\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-stats-\"));\n146\t tempDirs.push(base);\n147\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n148\t mkdirSync(sessionsRoot, { recursive: true });\n149\t\n150\t writeFileSync(\n151\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-77777777-7777-4777-8777-777777777777.jsonl\"),\n152\t [\n153\t line(\"session_meta\", { id: \"77777777-7777-4777-8777-777777777777\", cwd: \"/tmp/gamma\" }),\n154\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n155\t line(\"event_msg\", { type: \"user_message\", message: \"gamma one\" }),\n156\t line(\"event_msg\", { type: \"agent_message\", message: \"gamma reply\" }),\n157\t ].join(\"\\n\"),\n158\t );\n159\t\n160\t const dbPath = join(base, \"index.sqlite\");\n161\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n162\t\n163\t const stats = await runCli([\"stats\", \"--json\", \"--db\", dbPath]);\n164\t expect(stats.exitCode).toBe(0);\n165\t const payload = JSON.parse(stats.stdout) as {\n166\t sessionCount: number;\n167\t messageCount: number;\n168\t indexVersion: string;\n169\t topCwds: Array<{ cwd: string; count: number }>;\n170\t };\n171\t expect(payload.sessionCount).toBe(1);\n172\t expect(payload.messageCount).toBe(2);\n173\t expect(payload.indexVersion).toBe(INDEX_VERSION);\n174\t expect(payload.topCwds[0]?.cwd).toBe(\"/tmp/gamma\");\n175\t });\n176\t\n177\t test(\"read-page JSON exposes totalCount and hasMore\", async () => {\n178\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-page-\"));\n179\t tempDirs.push(base);\n180\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n181\t mkdirSync(sessionsRoot, { recursive: true });\n182\t\n183\t writeFileSync(\n184\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-88888888-8888-4888-8888-888888888888.jsonl\"),\n185\t [\n186\t line(\"session_meta\", { id: \"88888888-8888-4888-8888-888888888888\", cwd: \"/tmp/pagecheck\" }),\n187\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n188\t line(\"event_msg\", { type: \"user_message\", message: \"m1\" }),\n189\t line(\"event_msg\", { type: \"agent_message\", message: \"m2\" }),\n190\t line(\"event_msg\", { type: \"user_message\", message: \"m3\" }),\n191\t line(\"event_msg\", { type: \"agent_message\", message: \"m4\" }),\n192\t ].join(\"\\n\"),\n193\t );\n194\t\n195\t const dbPath = join(base, \"index.sqlite\");\n196\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n197\t\n198\t const page1 = await runCli([\n199\t \"read-page\",\n200\t \"88888888-8888-4888-8888-888888888888\",\n201\t \"--offset\",\n202\t \"0\",\n203\t \"--limit\",\n204\t \"2\",\n205\t \"--json\",\n206\t \"--db\",\n207\t dbPath,\n208\t ]);\n209\t expect(page1.exitCode).toBe(0);\n210\t const payload1 = JSON.parse(page1.stdout) as { totalCount: number; hasMore: boolean };\n211\t expect(payload1.totalCount).toBe(4);\n212\t expect(payload1.hasMore).toBe(true);\n213\t\n214\t const page2 = await runCli([\n215\t \"read-page\",\n216\t \"88888888-8888-4888-8888-888888888888\",\n217\t \"--offset\",\n218\t \"2\",\n219\t \"--limit\",\n220\t \"2\",\n221\t \"--json\",\n222\t \"--db\",\n223\t dbPath,\n224\t ]);\n225\t expect(page2.exitCode).toBe(0);\n226\t const payload2 = JSON.parse(page2.stdout) as { totalCount: number; hasMore: boolean };\n227\t expect(payload2.totalCount).toBe(4);\n228\t expect(payload2.hasMore).toBe(false);\n229\t });\n230\t\n231\t test(\"sync exits non-zero by default when per-file indexing fails\", async () => {\n232\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-sync-\"));\n233\t tempDirs.push(base);\n234\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"22\");\n235\t mkdirSync(sessionsRoot, { recursive: true });\n236\t\n237\t writeFileSync(\n238\t join(sessionsRoot, \"rollout-2026-04-22T12-00-00-99990000-9999-4999-8999-999999999999.jsonl\"),\n239\t [\n240\t line(\"session_meta\", { id: \"99990000-9999-4999-8999-999999999999\", cwd: \"/tmp/good\" }),\n241\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n242\t line(\"event_msg\", { type: \"user_message\", message: \"good session\" }),\n243\t ].join(\"\\n\"),\n244\t );\n245\t\n246\t const badFilePath = join(\n247\t sessionsRoot,\n248\t \"rollout-2026-04-22T13-00-00-88880000-8888-4888-8888-888888888888.jsonl\",\n249\t );\n250\t writeFileSync(\n251\t badFilePath,\n252\t [\n253\t line(\"session_meta\", { id: \"88880000-8888-4888-8888-888888888888\", cwd: \"/tmp/bad\" }),\n254\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n255\t line(\"event_msg\", { type: \"user_message\", message: \"bad session\" }),\n256\t ].join(\"\\n\"),\n257\t );\n258\t chmodSync(badFilePath, 0o000);\n259\t unreadableFiles.push(badFilePath);\n260\t\n261\t const result = await runCli([\n262\t \"sync\",\n263\t \"--root\",\n264\t join(base, \"sessions\"),\n265\t \"--db\",\n266\t join(base, \"index.sqlite\"),\n267\t ]);\n268\t\n269\t expect(result.exitCode).toBe(1);\n270\t expect(result.stdout).toContain(\"errors: 1\");\n271\t expect(result.stdout).toContain(badFilePath);\n272\t });\n273\t});\n274\t\n275\tfunction line(type: string, payload: Record<string, unknown>): string {\n276\t return JSON.stringify({\n277\t timestamp: new Date(\"2026-04-21T00:00:00.000Z\").toISOString(),\n278\t type,\n279\t payload,\n280\t });\n281\t}\n282\t\n283\tasync function runCli(args: string[]): Promise<{ exitCode: number; stdout: string; stderr: string }> {\n284\t const proc = Bun.spawn([process.execPath, \"cli.ts\", ...args], {\n285\t cwd: import.meta.dir,\n286\t stdout: \"pipe\",\n287\t stderr: \"pipe\",\n288\t });\n289\t\n290\t const [stdout, stderr, exitCode] = await Promise.all([\n291\t new Response(proc.stdout).text(),\n292\t new Response(proc.stderr).text(),\n293\t proc.exited,\n294\t ]);\n295\t\n296\t return { exitCode, stdout, stderr };\n297\t}\n298\t"}]},"uuid":"1ef3f53c-8913-4798-9035-71d8185f5fae","timestamp":"2026-04-27T04:07:12.727Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/cli.test.ts","content":"import { afterEach, describe, expect, test } from \"bun:test\";\nimport { Database } from \"bun:sqlite\";\nimport { chmodSync, mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { INDEX_VERSION } from \"./env\";\nimport { syncSessions } from \"./indexer\";\n\nconst tempDirs: string[] = [];\nconst unreadableFiles: string[] = [];\n\nafterEach(() => {\n for (const filePath of unreadableFiles.splice(0)) {\n try {\n chmodSync(filePath, 0o644);\n } catch {\n // ignore cleanup failures for files that already disappeared\n }\n }\n for (const dir of tempDirs.splice(0)) {\n rmSync(dir, { recursive: true, force: true });\n }\n});\n\ndescribe(\"cxs cli\", () => {\n test(\"help only shows current/sync/find/read-range/read-page/list/stats\", async () => {\n const result = await runCli([\"--help\"]);\n expect(result.exitCode).toBe(0);\n expect(result.stdout).toContain(\"current\");\n expect(result.stdout).toContain(\"sync\");\n expect(result.stdout).toContain(\"find\");\n expect(result.stdout).toContain(\"read-range\");\n expect(result.stdout).toContain(\"read-page\");\n expect(result.stdout).toContain(\"list\");\n expect(result.stdout).toContain(\"stats\");\n expect(result.stdout).not.toContain(\"window\");\n expect(result.stdout).not.toContain(\"\\n session \");\n });\n\n test(\"current returns candidate sessions for cwd from state db\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n rollout_path TEXT NOT NULL,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL,\n updated_at_ms INTEGER\n )\n `);\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"aaaa1111-1111-4111-8111-111111111111\", \"/tmp/one.jsonl\", \"/tmp/picc\", \"older\", 100],\n );\n db.run(\n \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n [\"bbbb2222-2222-4222-8222-222222222222\", \"/tmp/two.jsonl\", \"/tmp/picc\", \"newer\", 200],\n );\n db.close();\n\n const result = await runCli([\n \"current\",\n \"--cwd\",\n \"/tmp/picc\",\n \"--state-db\",\n stateDbPath,\n \"--json\",\n ]);\n expect(result.exitCode).toBe(0);\n const payload = JSON.parse(result.stdout) as {\n cwd: string;\n candidates: Array<{ sessionUuid: string; filePath: string }>;\n };\n expect(payload.cwd).toBe(\"/tmp/picc\");\n expect(payload.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n \"bbbb2222-2222-4222-8222-222222222222\",\n \"aaaa1111-1111-4111-8111-111111111111\",\n ]);\n expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"find text output points to read-range\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-44444444-4444-4444-8444-444444444444.jsonl\"),\n [\n line(\"session_meta\", { id: \"44444444-4444-4444-8444-444444444444\", cwd: \"/tmp/project-d\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"health check 一直失败\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先看 readback\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const result = await runCli([\"find\", \"health check\", \"--db\", dbPath]);\n expect(result.exitCode).toBe(0);\n expect(result.stdout).toContain(\"next: cxs read-range 44444444-4444-4444-8444-444444444444 --seq 0\");\n expect(result.stdout).not.toContain(\"next: cxs window\");\n });\n\n test(\"list filters by cwd substring and respects sort\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-list-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-55555555-5555-4555-8555-555555555555.jsonl\"),\n [\n line(\"session_meta\", { id: \"55555555-5555-4555-8555-555555555555\", cwd: \"/tmp/alpha-proj\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"alpha one\" }),\n ].join(\"\\n\"),\n );\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T11-00-00-66666666-6666-4666-8666-666666666666.jsonl\"),\n [\n line(\"session_meta\", { id: \"66666666-6666-4666-8666-666666666666\", cwd: \"/tmp/beta-proj\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"beta one\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const listed = await runCli([\"list\", \"--cwd\", \"alpha\", \"--json\", \"--db\", dbPath]);\n expect(listed.exitCode).toBe(0);\n const payload = JSON.parse(listed.stdout) as { results: Array<{ sessionUuid: string }> };\n expect(payload.results).toHaveLength(1);\n expect(payload.results[0]?.sessionUuid).toBe(\"55555555-5555-4555-8555-555555555555\");\n });\n\n test(\"stats reports counts and index_version\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-stats-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-77777777-7777-4777-8777-777777777777.jsonl\"),\n [\n line(\"session_meta\", { id: \"77777777-7777-4777-8777-777777777777\", cwd: \"/tmp/gamma\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"gamma one\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"gamma reply\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const stats = await runCli([\"stats\", \"--json\", \"--db\", dbPath]);\n expect(stats.exitCode).toBe(0);\n const payload = JSON.parse(stats.stdout) as {\n sessionCount: number;\n messageCount: number;\n indexVersion: string;\n topCwds: Array<{ cwd: string; count: number }>;\n };\n expect(payload.sessionCount).toBe(1);\n expect(payload.messageCount).toBe(2);\n expect(payload.indexVersion).toBe(INDEX_VERSION);\n expect(payload.topCwds[0]?.cwd).toBe(\"/tmp/gamma\");\n });\n\n test(\"read-page JSON exposes totalCount and hasMore\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-page-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-88888888-8888-4888-8888-888888888888.jsonl\"),\n [\n line(\"session_meta\", { id: \"88888888-8888-4888-8888-888888888888\", cwd: \"/tmp/pagecheck\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"m1\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"m2\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"m3\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"m4\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n\n const page1 = await runCli([\n \"read-page\",\n \"88888888-8888-4888-8888-888888888888\",\n \"--offset\",\n \"0\",\n \"--limit\",\n \"2\",\n \"--json\",\n \"--db\",\n dbPath,\n ]);\n expect(page1.exitCode).toBe(0);\n const payload1 = JSON.parse(page1.stdout) as { totalCount: number; hasMore: boolean };\n expect(payload1.totalCount).toBe(4);\n expect(payload1.hasMore).toBe(true);\n\n const page2 = await runCli([\n \"read-page\",\n \"88888888-8888-4888-8888-888888888888\",\n \"--offset\",\n \"2\",\n \"--limit\",\n \"2\",\n \"--json\",\n \"--db\",\n dbPath,\n ]);\n expect(page2.exitCode).toBe(0);\n const payload2 = JSON.parse(page2.stdout) as { totalCount: number; hasMore: boolean };\n expect(payload2.totalCount).toBe(4);\n expect(payload2.hasMore).toBe(false);\n });\n\n test(\"sync exits non-zero by default when per-file indexing fails\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-sync-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"22\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-22T12-00-00-99990000-9999-4999-8999-999999999999.jsonl\"),\n [\n line(\"session_meta\", { id: \"99990000-9999-4999-8999-999999999999\", cwd: \"/tmp/good\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"good session\" }),\n ].join(\"\\n\"),\n );\n\n const badFilePath = join(\n sessionsRoot,\n \"rollout-2026-04-22T13-00-00-88880000-8888-4888-8888-888888888888.jsonl\",\n );\n writeFileSync(\n badFilePath,\n [\n line(\"session_meta\", { id: \"88880000-8888-4888-8888-888888888888\", cwd: \"/tmp/bad\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"bad session\" }),\n ].join(\"\\n\"),\n );\n chmodSync(badFilePath, 0o000);\n unreadableFiles.push(badFilePath);\n\n const result = await runCli([\n \"sync\",\n \"--root\",\n join(base, \"sessions\"),\n \"--db\",\n join(base, \"index.sqlite\"),\n ]);\n\n expect(result.exitCode).toBe(1);\n expect(result.stdout).toContain(\"errors: 1\");\n expect(result.stdout).toContain(badFilePath);\n });\n});\n\nfunction line(type: string, payload: Record<string, unknown>): string {\n return JSON.stringify({\n timestamp: new Date(\"2026-04-21T00:00:00.000Z\").toISOString(),\n type,\n payload,\n });\n}\n\nasync function runCli(args: string[]): Promise<{ exitCode: number; stdout: string; stderr: string }> {\n const proc = Bun.spawn([process.execPath, \"cli.ts\", ...args], {\n cwd: import.meta.dir,\n stdout: \"pipe\",\n stderr: \"pipe\",\n });\n\n const [stdout, stderr, exitCode] = await Promise.all([\n new Response(proc.stdout).text(),\n new Response(proc.stderr).text(),\n proc.exited,\n ]);\n\n return { exitCode, stdout, stderr };\n}\n","numLines":298,"startLine":1,"totalLines":298}},"sourceToolAssistantUUID":"439c1636-0f67-4ef9-a69b-70d435387cc1","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"1ef3f53c-8913-4798-9035-71d8185f5fae","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01KiwbTFTHb6DMFTDcuFzFwD","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5811,"cache_read_input_tokens":126833,"output_tokens":935,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":5811},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":935,"cache_read_input_tokens":126833,"cache_creation_input_tokens":5811,"cache_creation":{"ephemeral_5m_input_tokens":5811,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"10028428-f075-46da-8ac6-018d533db0d8","timestamp":"2026-04-27T04:07:17.729Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"10028428-f075-46da-8ac6-018d533db0d8","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01KiwbTFTHb6DMFTDcuFzFwD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BXkvtSZFc8D69h76ocfzHo","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.test.ts","old_string":" expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"find text output points to read-range\", async () => {","new_string":" expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n });\n\n test(\"current --json emits structured error when state db file is missing\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-missing-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"does-not-exist.sqlite\");\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(stateDbPath);\n });\n\n test(\"current --json emits structured error when state db schema is unexpected\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(\"threads\");\n });\n\n test(\"find text output points to read-range\", async () => {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5811,"cache_read_input_tokens":126833,"output_tokens":935,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":5811},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":935,"cache_read_input_tokens":126833,"cache_creation_input_tokens":5811,"cache_creation":{"ephemeral_5m_input_tokens":5811,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"516a17b2-7945-4906-bb4b-338cb9ff55ae","timestamp":"2026-04-27T04:07:24.279Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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read-range/read-page\n```\n\n### 2. 模块拆分健康\n\n当前代码地图比较清晰：\n\n- `cli.ts`：CLI 命令面\n- `indexer.ts`：sync 与索引更新\n- `parser.ts`：Codex JSONL 解析与 session summary 生成\n- `db.ts`：SQLite schema、session/message 存取、FTS 表维护\n- `query.ts`：find/list/read-range/read-page/current 查询编排\n- `ranking.ts`：session 级 heuristic rerank\n- `eval/`：manual eval 与 batch compare\n\n这对一个本地 CLI 来说是健康结构。\n\n### 3. 当前改动方向合理\n\n本轮实现方向整体正确：\n\n- 增加 `current` 命令，从 Codex state DB 按 cwd 找候选 session。\n- 增加 session-level recall，把 `title + summary_text + compact_text + reasoning_summary_text` 纳入 `sessions_fts`。\n- 引入 `matchSource = \"session\"` 与 `matchSeq = null` 语义，避免把 summary/compact 伪造成可回读 message。\n- 保持 `messages` 只表示真实可回读 transcript。\n- 增加 sync single-writer lock 与 read busy timeout。\n- 同步更新 README、AGENTS、architecture、roadmap、skill JSON schema 等文档。\n\n尤其值得保留的是：**不把 compact/summary 写成 `seq = -1` 的虚拟 message**。这个设计比把 session-level signal 混入 message stream 更干净。\n\n### 4. 测试覆盖不差\n\n现有测试已经覆盖：\n\n- CLI help/current/find/list/stats/read-page/sync fail\n- parser 对 compacted handoff 与 reasoning summary 的抽取\n- query 的 title-only recall、field weights、compact recall、snippet density、parallel read lock\n- indexer 的 strict/best-effort、writer lock、stale lock\n- eval predicate 语义\n\n## 主要问题与风险\n\n### P0-1：缺少真正的 TypeScript 类型检查\n\n`package.json` 中 `check` 当前只是 `bun test`，没有 `tsc --noEmit`。Bun 可以执行 TypeScript，但不等于有完整类型检查。\n\n当前类型已经开始变复杂，例如：\n\n- `matchSeq: number | null`\n- `matchSource: \"message\" | \"session\"`\n- `FindMatchRole`\n\n建议补：\n\n- `tsconfig.json`\n- `bunx tsc --noEmit`\n- 把 `check` 改成 `tsc --noEmit && bun test`\n\n### P0-2：DB 连接在异常路径上可能泄漏\n\n部分 query 函数当前是：\n\n```ts\nconst db = openReadDb(dbPath);\nconst session = getSessionRecord(db, sessionUuid);\nif (!session) throw new Error(...);\ndb.close();\n```\n\n如果中间 throw，`db.close()` 不会执行。\n\n建议把 query 层所有 open/close 统一改成：\n\n```ts\nconst db = openReadDb(dbPath);\ntry {\n // work\n} finally {\n db.close();\n}\n```\n\n`getCurrentSessions()` 已经采用这种结构，其他函数应对齐。\n\n### P0-3：sync lock stale 清理存在竞争窗口\n\n当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。\n\n### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n\n`current` 直接依赖 `threads` 表和字段：\n\n- `id`\n- `rollout_path`\n- `cwd`\n- `title`\n- `updated_at_ms`\n\n这对当前本机可用，但作为开源 CLI，Codex state DB schema 可能变化。建议：\n\n- 先检查 table/columns 是否存在。\n- schema 不匹配时输出友好错误。\n- `--json` 模式返回结构化 error，而不是 SQLite 原始异常。\n\n## 次级问题\n\n### P1-1：ranking 逻辑开始堆 magic constants\n\n当前 ranking 使用多组启发式权重，例如 title phrase、title term、cwd term、message bump、user bump、session hit、hit count、recency 等。\n\n这对轻量 retrieval CLI 是合理的，但继续堆会变难调。下一步不建议继续盲目加权重，应优先补 manual eval acceptance gate。\n\n### P1-2：mixed match 展示策略需要专门测试\n\n当前展示行优先选择 message hit，避免用户拿到 `matchSeq = null` 后无法 `read-range`。这是合理产品取舍，但可能掩盖真正强的 session-level 命中。\n\n建议增加 mixed case 测试：同一个 session 里同时有强 session-level hit 和弱 message hit 时，确认展示策略符合预期。\n\n### P1-3：缺少真实大库性能基准\n\n现有单元测试较好，但还缺：\n\n- 几千 session 下的 sync/find p95\n- 大型 `sessions_fts` 的 query 噪音评估\n- real-world manual eval regression gate\n\n## 建议优先级\n\n### P0：发前必须做\n\n1. 补 `tsc --noEmit`。\n2. query 层所有 DB open 改成 `try/finally close`。\n3. 修 sync lock 删除 stale lock 的 race。\n4. 对 `current` 做 state DB schema 检查和友好错误。\n\n### P1：增强可信度\n\n1. 把 session-level recall 的 mixed cases 加进 eval。\n2. 给 ranking magic constants 写一页短说明，避免后续 agent 乱调。\n3. 跑一次真实库 smoke：`sync -> stats -> find -> read-range/read-page`。\n4. 把当前大工作区改动拆成 focused commits。\n\n### P2：长期演进\n\n1. eval 从人工报告升级为 regression gate。\n2. 再考虑 duplicate collapse / diversity control。\n3. 再考虑真正 resource-level reranker。\n\n## 结语\n\n`cxs` 当前已经不是玩具脚本，结构、测试和文档同步意识都比较像一个正经小型 CLI。下一阶段最值得投入的是类型检查、异常路径资源释放、lock race 和 state DB schema 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{"parentUuid":"73a9bc92-b740-4501-969c-76ecb717a47a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"Eu8MClkIDRgCKkDJm4WX/1W2k+XKRyo9xKcidqfZU6BU6T0ZMocngyMYp2qNYMPO9bpV1SzNIDLzgdm4mOFAAzcHjUJ3OUMrQf/vMg9jbGF1ZGUtb3B1cy00LTc4ABIMKj8d3UiYbBXDKvUTGgwY7tKQ2Qbrn5Uu1RQiMOUxymljUOqEq6m/GH5NNcUWZ1JAgyxomcXMWYXaQN9/BH2Q6DhI9CkjEh7/j/pkLirDC8OJ/TkZ6RuSHfZOg+UOM5buTMRssDfX3XXFw5AB5o57Z3z3X/vdiQ/70InwRvi8+ogPoniUgpGk4wLtYnZvrmbhui852OJXhSZfOPJsmtvj/2dtjcOUBgA8CTJ1TPmwLbHRra8DmnvGpS9cjj1M3scEBTljmj0HTQJBdqXFmgdSLCDqON6oIwginQspoocoCGyKaBTJ/U3fW6IWntZ9NLh7IQk64FjX5xY0Jfj2JGOeTdE6w1v0DXZdo2VsXSn/l0mOYDVlj7YS2DgEyJZlngj4oGyUmQVKOOCAcd626qWe9fda9KYioHrfGqbdUwkIoOUWZm3PcSU3RIMClIZtWGUEkPkNBjEZaMl7D4DRH2+UO5oWzlRu9AepE0wmZFpy80OIAHXJ9jy8gGjFhSVzcOTqQThwgyfP3pk3aNWFbF9apGbzIvneJiniJzNezzY5ykqfR8j8EZX6ChNNaWFgeHRffc9f0k2xhBAfvK5BQ21yVQQq66rler9h4AYA7IujEtyPhH0J6Oj2InBbCtppoM9A6zfV7siwubp2N+VT03N/mgy05dldj+THMvY6oMBZjUcm2h7EEOtnKW+mkFwN1gYT5Jd2aPmspx81NtOFF/WjfEfXKOoPbv27obB2x5uLi4KKaekAU1QuZemYbax2A8jAvU8Idi76/5aZ6h7X0BI+UatUtBtyrj0xFDffvYiAwoe6GMEnnf3A+7momBaOLMBaU7cAIu+jxsvOv10iCoBg6DAGNtZLerdXGtEThdBCMMGcXdOOZtos8OyYVWnSJamyxS2h2w88Mey3JAvO0kX/UNjOPTmDbzkO+bhEsgYd42kL785tfQtTB+W7NsplJgO9haORLgWlgeV4lPB3Dcw9JkgDOhEX6AuXzG4O+V+utixZm/LfMfm2qzwperJovs5a8QNlcgW27r0Ax7rtZfJsOLyopPzHE6QHyuYDD01Pmkl+hO0bionRkCMTqFO3ZPbYLeEvicyPxROvWHNNoQ4Ak+u0Xr49Gkz0hVB/vMEwCy3RcaIuyljnbvMqpuXTtO/T3kvRbYjr9yh7VFP/ecnXxLHANz0UsBzWWKj4s3Sf60DuPr910q7t2qVswWW7eatPBSZVCVt2j9eWIr67UeUA+B69XBTjN54SCkAC9a5PDWm+PKKdoZuHr8SDIuRvC2unakjt5nXQNq+O5Tkg33ei+9FKYqajGQDsXuMu2/2ssK3TQwXqtoEgVgCnGgpFKVPxf9kWmFHTHpiQ9ibgKAw2NNzea5E5xc0Zz6bpcYxoXuBtNfEUnzWIfV4x6cR/mf0IeoQfuV3gPIm8EBxd5ATvcjnBmXcY94s00p0ftOmCYB47Ys9pcpySzaVy42APHcemDsLWNvVA5u7kvZKniOBhBD8472JUH+TfOdj+sB1J0ZqHs9UY9La5ARHwRPDzAMifPmIySIeIlgw2ZH7RbP20MsbnIjReRFzO+HUOSQ9aii/Yra5V1k6gQgLu7FS27OXsSqI3RKQyArV7xv+OQU+2KYPgYnY1FevlWI5VkLbjuC2c65AyhU6n3VrrWk/DNiiORaVGy+R0VhYZSyIxyFY3+G6v9I4wgodx5LcGOdb8pXjgylvRxWRQzjJfsTO31yZRGJXLnmXjo4aCXCyZW8MVgncwAyyxWjdQfagrSSBnExRZSJC15RF+y3s2n5w+swcPzFSGJdnqbyPwUijXW/CL9pKPMcj3fpxs1srCVjNAr+GhlM9sLbc70RU6R9AxXHsMqKWDaA9njSyrTCTbmFBaDisbEqyuxm0nHS4rluKNmFi3n0PL/Zvnwu7O1vOO17nad8syia3aYouZ3gABm+H7HGUEtwJ74+6U/8zpFBIOMRLq1t7nC1dh0N4WakYv6O0tFNVydrMDP+TSwY3hmyCVjveQ8a9X0UHUNbSK5VM6FjkIUg0w9f3pzij4O8CZnqkUAECzOP2jKaRP5Qf273I/5OIyGAE="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"3c9cfd2e-c4eb-47de-9b6f-36de4ae2cf3c","timestamp":"2026-04-27T04:08:24.403Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"3c9cfd2e-c4eb-47de-9b6f-36de4ae2cf3c","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"text","text":"`bun run check` 全绿(tsc + 37 tests)。再跑两个最小 smoke 验证 CLI 错误路径在真实子进程里也对。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"8d41bba3-dac9-4510-95d1-4f8acdbde6f1","timestamp":"2026-04-27T04:08:25.181Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"8d41bba3-dac9-4510-95d1-4f8acdbde6f1","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0135j6GaoQYr5G9i7QG4AfBz","name":"Bash","input":{"command":"bun run cxs current --state-db /tmp/cxs-does-not-exist.sqlite --json 2>&1; echo \"---exit: $?---\"","description":"Smoke: missing state db should emit structured json error and exit 1"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","timestamp":"2026-04-27T04:08:26.328Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_0135j6GaoQYr5G9i7QG4AfBz","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"15f1c3ab-e540-4a3f-9ac8-2e57ec360abb","timestamp":"2026-04-27T04:08:26.358Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0135j6GaoQYr5G9i7QG4AfBz","type":"tool_result","content":"$ bun run ./cli.ts current --state-db /tmp/cxs-does-not-exist.sqlite --json\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/cxs-does-not-exist.sqlite\"\n }\n}\nerror: script \"cxs\" exited with code 1\n---exit: 1---\n[rerun: b9]","is_error":false}]},"uuid":"8978de2e-719d-4cea-9059-01ad34cbf0fa","timestamp":"2026-04-27T04:08:26.459Z","toolUseResult":{"stdout":"$ bun run ./cli.ts current --state-db /tmp/cxs-does-not-exist.sqlite --json\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/cxs-does-not-exist.sqlite\"\n }\n}\nerror: script \"cxs\" exited with code 1\n---exit: 1---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c4b2adde-70fa-4f7f-9b96-59f1a0f20f55","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"8978de2e-719d-4cea-9059-01ad34cbf0fa","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_016YfBEAu22j61ct82U4J87C","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TEAX1soyiiCCfr6zrWWLsy","name":"Bash","input":{"command":"bun run cxs --help 2>&1 | head -25","description":"Smoke: CLI help still renders"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":450,"cache_read_input_tokens":136821,"output_tokens":1002,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":450},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1002,"cache_read_input_tokens":136821,"cache_creation_input_tokens":450,"cache_creation":{"ephemeral_5m_input_tokens":450,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","timestamp":"2026-04-27T04:08:26.919Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01TEAX1soyiiCCfr6zrWWLsy","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"28c77e8e-6e2e-496e-8160-1c8eaf695e97","timestamp":"2026-04-27T04:08:26.945Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","isSidechain":false,"promptId":"7546cde8-ca92-483a-8945-f32bbce1d615","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TEAX1soyiiCCfr6zrWWLsy","type":"tool_result","content":"$ bun run ./cli.ts --help\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n\nOptions:\n -V, --version output the version number\n -h, --help display help for command\n\nCommands:\n current [options] 按 cwd 返回当前候选 session，不做全文检索\n sync [options] 扫描并同步本地 Codex sessions 到 SQLite 索引\n find [options] <query> 搜索相关 session，返回最小必要命中\n read-range [options] <sessionUuid> 围绕命中点读取局部上下文；必须显式传 session_uuid\n read-page [options] <sessionUuid> 顺序分页读取某个 session 的消息\n list [options] 列出已索引的 session（不做全文检索）\n stats [options] 展示索引状态统计\n help [command] display help for command\n[rerun: b10]","is_error":false}]},"uuid":"7883d4e9-d2b7-4eb4-aada-031391c9a26d","timestamp":"2026-04-27T04:08:27.027Z","toolUseResult":{"stdout":"$ bun run ./cli.ts --help\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n\nOptions:\n -V, --version output the version number\n -h, --help display help for command\n\nCommands:\n current [options] 按 cwd 返回当前候选 session，不做全文检索\n sync [options] 扫描并同步本地 Codex sessions 到 SQLite 索引\n find [options] <query> 搜索相关 session，返回最小必要命中\n read-range [options] <sessionUuid> 围绕命中点读取局部上下文；必须显式传 session_uuid\n read-page [options] <sessionUuid> 顺序分页读取某个 session 的消息\n list [options] 列出已索引的 session（不做全文检索）\n stats [options] 展示索引状态统计\n help [command] display help for command","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7b604f46-1c87-4e4e-a4d0-e33ffb55f1a4","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"7883d4e9-d2b7-4eb4-aada-031391c9a26d","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01HRxEYTTVX7PAmYiCVkhkY7","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"Eq4KClkIDRgCKkA6QqXe69JNGyAB9rH9KTlHzjU9LomAGXTpP6IzIKG25tTrrgCaH9pHyLzR9T8Y10qw9+jyfDS+X0vq7UdR9uq3Mg9jbGF1ZGUtb3B1cy00LTc4ABIMbEThi8GulnUPuXo+GgwVroR6GAufLkINaiYiMG72EV3F4JOVDkK0c4f7g1S1O4ingMrC3J7wKwHYKFKsqyc3nxty1oZI0/pSZw1MTSqCCW822bgeISMtZCqZ7xHsKBC4hlg1mKSl1z4k0y8zhP13z92bLbHAt5D8CBaUuG6qufVNeqtsx1E5Imq9dEzjzhw78K9N9tC+NIrHtjPKeou0ASQ+3/wDDcIHgxVMjOM0xHj0V4OsvDmOs02ynTifZPOIvJViBTnzcR9ea8GWUDRIATidDPmXn1ItPrMWKV/HecuoxgQFzSoejfVJZK8IyiVd9nRw7BvbcYDzmQ6xC2/FwqG1gSnhVe1mKuLupNRZBjiWMw1e9eMCNZeHdBlVPM8D2mRrHrUhtJDDwtFbGiAE8OnJypEd5fa3anDTo9r7FO5s2f5VKxt3m+buxCk8bSQy33diuDB2EXsz7nfKv9DeEAzUH1boy0P3XkbnPTDxuSN98TWOHjLvfekZQe7DuvtkIH2YSSwCi1WlfnZfwC2B36ucrOE0Rbf1MJUZmcXtSKk5LHgjoq/uVPVwVXZ7/JOu1ZB2I2Anl4nTjnX4M5frSHKzdVnwrxSQxI0DK6NQj6k8FdD/VDa1QVf3ACfx7Wz1CGxyNQw2JHPK6yniZ7jkwZmWGH+93A64IraJynsN5/YYtyNKQdwPUTZkP6buUONlnLSPEWGzRxqoDvASz9rwoW4isqP4jdvXHxiOtEKogwyzYr8OQhhn0B5KpY1tWAHly6s87HSWm8TLguFjK1r+XbLB5jrg6RC9giC9xVp9nqP1dcZ8jhowGZOqCJeNtLJkLz9XVzrn7ABbgKaWk2WWUOTOoVCidhWDbnRgNCy0gbyd6LqT8XG25sGwEl6I2U42QVNIjLj0OQ3uAXtTXnoY0Rr6B4sGNUboZ5i5Wm6qVLsxfPvZeKEYPK/rdomrLDJc4N3DH6KQesGhWlzDjJcxjGRk+9BxYs6VFsGO0quYJHHz41NqStuZvBtrOtLMM2wjROZA0oo55JuhR79JQqQ36Pjp6WYbMyoyGBDKavCsmEYGt2CxFBggqeRcVyirf7hlVBeMPlbOC+vs+iIwzC82mvOCEFaw8R6borlkw1CDehp/Fw3VBnoYjMBlvmzLjUvNngK9GC7freeNtl5pA6quy8neATd/EU+Mzoy4CfFtG/3w0lOEYULcwXLzHy9xcQMzKf2vcOQNEmoDxhrEA+NCa428BwDQFc3p8wFXQS2jkLsJaET4p8y5gkAk4lYH1q0xAN9rNuZ0CeUhUh8wtjtw8ULPdlyyLEFb/g71D18WNf1ZPR/uvAH5iAL1kZfAOP9DG9wsGlmICsOFRY/YN54fU2vMDVfvo8n8MdhifnKGfHpuFHYH53OxUFUED0lt+SjR3V/qYwgLOifFyw9TWuaFmIKe5+fj7uoLAr1QYglXqHXhqG0ZC/lvha4p6I3bWJ1Jjz1BM4oeRqi6SmNOHryo+9UEoNrMnPLyax0uid0LVGErGLJSH8gjHSuek2mpAZ4+bbtBEHInYoXAyVNooyzEfj3SkYVeRvU2FsQ6hCzOKkZEioDPKgEJa1w0FQyx1aDPKQi2g8ToZ5NLz9vfEh/MsXSVEhDseLLhvrukPisWUpURGAE="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1464,"cache_read_input_tokens":137271,"output_tokens":740,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1464},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":740,"cache_read_input_tokens":137271,"cache_creation_input_tokens":1464,"cache_creation":{"ephemeral_5m_input_tokens":1464,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"7b5d35ac-ab35-4768-9e7f-4c6e1b861760","timestamp":"2026-04-27T04:08:38.142Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"7b5d35ac-ab35-4768-9e7f-4c6e1b861760","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01HRxEYTTVX7PAmYiCVkhkY7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017bgvqxyQNHqS6b5fSvxrgc","name":"TaskUpdate","input":{"taskId":"10","status":"completed"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1464,"cache_read_input_tokens":137271,"output_tokens":740,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1464},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":740,"cache_read_input_tokens":137271,"cache_creation_input_tokens":1464,"cache_creation":{"ephemeral_5m_input_tokens":1464,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"13b7ff6f-4335-48fd-b86b-307a50358d98","timestamp":"2026-04-27T04:08:38.554Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"13b7ff6f-4335-48fd-b86b-307a50358d98","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:TaskUpdate","toolUseID":"toolu_017bgvqxyQNHqS6b5fSvxrgc","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"3b106f7e-83c8-47e7-9fd3-8b201c15e65e","timestamp":"2026-04-27T04:08:38.567Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":755,"cache_read_input_tokens":139652,"output_tokens":6568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":755},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":6568,"cache_read_input_tokens":139652,"cache_creation_input_tokens":755,"cache_creation":{"ephemeral_5m_input_tokens":755,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"8240d672-b422-4291-9428-6743aba3f5eb","timestamp":"2026-04-27T04:13:07.598Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","g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{"parentUuid":"8240d672-b422-4291-9428-6743aba3f5eb","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01SEmFrp3jVgh8nTzQKp49Kv","type":"message","role":"assistant","content":[{"type":"text","text":"按用户偏好的\"focused commits\"，但 query.ts 同时承载 P0-2 和 P0-4 改动。考虑到拆分会涉及反复撤销/恢复且每个中间 commit 都要保持 build 通过，复杂度收益不划算 — 我做一次聚焦 commit,subject 直接说明覆盖的三条 P0 项,正文列出每条修复点。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":755,"cache_read_input_tokens":139652,"output_tokens":6568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":755},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":6568,"cache_read_input_tokens":139652,"cache_creation_input_tokens":755,"cache_creation":{"ephemeral_5m_input_tokens":755,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"88bf5374-3cca-470a-90b4-cf8b5031c1ff","timestamp":"2026-04-27T04:13:09.709Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"9d1ab05d-6f69-4c5a-ad63-068088682e9d","isSidechain":false,"promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RQm7GmsJioBQo1UFUWeSpK","type":"tool_result","content":"1\t#!/usr/bin/env bun\n2\t\n3\timport { mkdirSync, readFileSync, writeFileSync } from \"node:fs\";\n4\timport { join, resolve } from \"node:path\";\n5\timport { evaluateManualQuery, type ManualQuery, type PassMark } from \"./manual-eval-core\";\n6\timport type { FindResult } from \"../types\";\n7\t\n8\tinterface FindOutput {\n9\t query: string;\n10\t results: FindResult[];\n11\t}\n12\t\n13\tconst ROOT = resolve(import.meta.dir, \"..\");\n14\tconst QUERY_FILE = resolve(import.meta.dir, \"manual-queries.json\");\n15\tconst OUT_BASE = resolve(ROOT, \"data\", \"cxs-eval\");\n16\t\n17\tconst stamp = new Date().toISOString().replace(/[:.]/g, \"-\");\n18\tconst outDir = join(OUT_BASE, stamp);\n19\tmkdirSync(outDir, { recursive: true });\n20\t\n21\tconst queries = JSON.parse(readFileSync(QUERY_FILE, \"utf8\")) as ManualQuery[];\n22\tconst indexLines: string[] = [\n23\t \"# cxs 手动评测批次\",\n24\t \"\",\n25\t `- generated_at: ${new Date().toISOString()}`,\n26\t `- out_dir: \\`${outDir}\\``,\n27\t \"\",\n28\t];\n29\t\n30\tinterface Scoreboard {\n31\t total: number;\n32\t pass1: number;\n33\t pass5: number;\n34\t skipped: number;\n35\t}\n36\t\n37\tconst scoreboard: Scoreboard = { total: 0, pass1: 0, pass5: 0, skipped: 0 };\n38\tconst perQuery: Array<{\n39\t id: string;\n40\t query: string;\n41\t category?: string;\n42\t pass1: PassMark;\n43\t pass5: PassMark;\n44\t pass1Predicates: Array<{ label: string; needle: string; matched: boolean }>;\n45\t pass5Predicates: Array<{ label: string; needle: string; matched: boolean }>;\n46\t top1Title: string;\n47\t}> = [];\n48\t\n49\tfor (const [index, item] of queries.entries()) {\n50\t const prefix = String(index + 1).padStart(2, \"0\");\n51\t const findJson = await runCommand([\"./bin/cxs\", \"find\", item.query, \"--limit\", \"5\", \"--json\"]);\n52\t const findText = await runCommand([\"./bin/cxs\", \"find\", item.query, \"--limit\", \"5\"]);\n53\t const findJsonPath = join(outDir, `${prefix}-${item.id}.find.json`);\n54\t const findTxtPath = join(outDir, `${prefix}-${item.id}.find.txt`);\n55\t writeFileSync(findJsonPath, findJson);\n56\t writeFileSync(findTxtPath, findText);\n57\t\n58\t const parsed = JSON.parse(findJson) as FindOutput;\n59\t const top = parsed.results[0];\n60\t\n61\t const eval1 = evaluateManualQuery(item, parsed.results.slice(0, 1));\n62\t const eval5 = evaluateManualQuery(item, parsed.results.slice(0, 5));\n63\t const pass1 = eval1.mark;\n64\t const pass5 = eval5.mark;\n65\t scoreboard.total += 1;\n66\t if (pass1 === \"skip\") scoreboard.skipped += 1;\n67\t if (pass1 === \"pass\") scoreboard.pass1 += 1;\n68\t if (pass5 === \"pass\") scoreboard.pass5 += 1;\n69\t perQuery.push({\n70\t id: item.id,\n71\t query: item.query,\n72\t category: item.category,\n73\t pass1,\n74\t pass5,\n75\t pass1Predicates: eval1.predicateResults,\n76\t pass5Predicates: eval5.predicateResults,\n77\t top1Title: top?.title ?? 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\"\"} | ${row.pass1} | ${row.pass5} | ${row.top1Title.slice(0, 60).replaceAll(\"|\", \"¦\")} |`\n136\t ),\n137\t \"\",\n138\t];\n139\tconst combined = [...indexLines.slice(0, 5), ...summaryLines, ...indexLines.slice(5)];\n140\t\n141\tconst readmePath = join(outDir, \"README.md\");\n142\twriteFileSync(readmePath, combined.join(\"\\n\"));\n143\t\n144\tconst scorecardPath = join(outDir, \"scorecard.json\");\n145\twriteFileSync(scorecardPath, `${JSON.stringify({ scoreboard, perQuery }, null, 2)}\\n`);\n146\t\n147\tconsole.log(JSON.stringify({\n148\t outDir,\n149\t readme: readmePath,\n150\t queryCount: queries.length,\n151\t scoreboard,\n152\t}, null, 2));\n153\t\n154\tfunction rel(path: string): string {\n155\t return path.replace(`${ROOT}/`, \"\");\n156\t}\n157\t\n158\tfunction formatPredicateResults(\n159\t predicateResults: Array<{ label: string; needle: string; matched: boolean }>,\n160\t): string {\n161\t return predicateResults\n162\t .map((predicate) => `${predicate.label}=${predicate.matched ? 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{"parentUuid":"cb2be624-5a9a-44d0-bb0a-cbcd9f76c159","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015v7x78QupXnbvvVDSDVw53","type":"tool_result","content":"Task #3 created successfully: P1-3: 真实大库性能基准脚本"}]},"uuid":"8b05de1f-81e4-4bfd-9957-b0376e15e408","timestamp":"2026-04-27T04:17:14.558Z","toolUseResult":{"task":{"id":"3","subject":"P1-3: 真实大库性能基准脚本"}},"sourceToolAssistantUUID":"cb2be624-5a9a-44d0-bb0a-cbcd9f76c159","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"8b05de1f-81e4-4bfd-9957-b0376e15e408","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EswIClkIDRgCKkAgCoSWjLSFh3sB2GP4Pmb8xyQFfOO8VphjOshRw0+5jKYydgPWQfNKRg/XT0kmwzm5TRsMumQ1F5IDbiGPIT+wMg9jbGF1ZGUtb3B1cy00LTc4ABIM+I3/w7Z3s6JS1tL9GgxGOO5LYtC2l1U9gwoiMHlwMs8tQtYEcgIIBVW8nMAgU7UjM6mAtVPeKU6Jy5amKP6AWj+T6GKkEdFQQkjqfCqgB39UEZFHZpVEmxx90BSbHqqm+5ns51A+uUZkyuQw+TEHxRd5J2KXzN1EEjc6bmjaV66MU2Pi8Jh8jxDgG6Om7mCblCDixqOOKvdmIohI9701pGPEjTy3mK6alACW7bhznDGII/G/IP8znh1pCOiSTWZlB0EeR7Or/lXgRcpgmiF6dAjqdGybXyUVrn5s/eh0RDvHOww6ID+mYBtw0VsOwZhL/IUpPQPwWptOqLl3da06MxGKPFUtBE3XvEa6Q2J2zgu7BZ3VJN1ALxFhuAP2w/qwyjVyg3wyOi5XcqcZIwBPOAKNVKvQxD+VrSkloIbJ3woUywz/t4KtN2q2N3UoMcQcAfCm9OwsLsKE8xEv39xmHj0i1nN4dfVv52irCiVz0yH0PT3vdt0C/R+d9lifZWvWCtDwDj7uxypViPRJcgmxZtODSL49b1/5ssJ4XsHUH29KfCIapk1+76kMCaohSRw16Az9breoD5/6JQLFRlhQmBV+s407ml5XwduCLENJ1aLhJQlQFtAX3O61JwWQKCwEbDgcnxPsTfbf7TVyOA2rjG4vQAVsKuo7R8N8N+mmqX94GZroiIpLfkZNmpRG1fiK+rxc/b7YuK0WNPYBJuyB9hh0LFZ8MjXCBslmNMzbqa9p2qANJpvgN0lMg+dF6eiV7EzC3/jXzRLE9qtdzPhwOYpuW2VXCrYhNE0Eqr+XSLb5xLQVOE0am0+XwuBtBFSSMF4T9qVZf3c4JzmtqRE2t5lEkn0PZNL01caAJr+cJKkTPHvXC1VaW2Br5zRuLwZuRz9YAI7xgDI0gWl7pKi/uhu+oYjko06MzeIUIdVg2IcGIU9G3XAQjGrokRlgin+scZZxe2WW/nx3+ALVNP+Yl/UMu+cZ8Z7zrnIPQBYnC7zwu3TKxmaxn14iD/Rdiiddel4vDqzCU+Dn2fU7T73GZlajSr+KBbL4ILiPVOf4kQuQn94MmcqdeaXc9U/lVkG83eNywgSUlMlTrzsJHxQWB/h1ttjFMzdZNfIfEOOmSKOxoUejBt6j8WVLXna8L6pu3l/QmzRKUQZLt/8+ENVZav9aIo5i5JhKowmTwqQTa/4fit+OqQ2XNxSKIuFy/rR5zMKDX2ea9LHyJg1nnAGJkCyc/FNpVO4VvVBMLKhhAialgz8zG5lbsKsvIBRhh5U8CweGrif8Ujh0hIv9ntgsxgCYJvYpbq/SIUcDSYwACj24pU0w/rZUv9XeVkI17sgYAQ=="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"5454b8b7-a5b6-4b28-afe5-581f7aa82c92","timestamp":"2026-04-27T04:17:24.719Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"5454b8b7-a5b6-4b28-afe5-581f7aa82c92","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"text","text":"3 个 task 已建。并行 spawn 3 个 teammate,每人认领一个。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d43e0a3d-dd36-4303-852c-a9f0d6068eb5","timestamp":"2026-04-27T04:17:25.508Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"d43e0a3d-dd36-4303-852c-a9f0d6068eb5","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019havhWt2Wzy3tz6oF9Ncxn","name":"Agent","input":{"description":"P1-1 ranking weights doc","subagent_type":"general-purpose","team_name":"cxs-p1","name":"ranker-doc","run_in_background":true,"prompt":"你是 cxs-p1 team 的成员,name 是 `ranker-doc`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList` 看可用任务,认领 **Task #1** (P1-1: ranking 权重说明文档): `TaskUpdate({taskId:\"1\", owner:\"ranker-doc\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"1\"})` 读完整需求。\n3. 读 `ranking.ts` 全文 + `query.ts` 中 `searchSessionsByFts` 的 `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)` 调用,理解每个权重的实际作用。\n4. 浏览 `docs/ARCHITECTURE.md` 学习风格(中文 markdown、分节、列表)。\n5. 创建 `/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md`。每个权重单独一节,回答:**值是什么 / 为什么是这个量级 / 改动它会影响什么**。重点不是让人查到值,而是让未来的维护者敢/不敢调。\n6. 跑 `bun run check`(在仓库根目录)确认通过。\n7. `TaskUpdate({taskId:\"1\", status:\"completed\"})`。\n8. `SendMessage({to:\"team-lead\", summary:\"P1-1 done\", message:\"P1-1 完成: docs/RANKING_WEIGHTS.md 已写,bun run check ok。<一句话亮点>\"})`。\n\n## 约束\n\n- 只动 `docs/RANKING_WEIGHTS.md` 一个文件。不要改代码。\n- 文档是给 *人*(或 agent 维护者)看的,不是代码注释的搬运 — 要解释 *why*,不要解释 *what*。\n- 不创建额外文档文件(README、index 之类)。\n- 完成后必须发一条 SendMessage 给 team-lead,否则 lead 不知道你完成了。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","timestamp":"2026-04-27T04:17:36.584Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_019havhWt2Wzy3tz6oF9Ncxn","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"3f0aecb9-be86-4b93-8ff3-4f3e6ab825d0","timestamp":"2026-04-27T04:17:36.647Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019havhWt2Wzy3tz6oF9Ncxn","type":"tool_result","content":[{"type":"text","text":"Spawned successfully.\nagent_id: ranker-doc@cxs-p1\nname: ranker-doc\nteam_name: cxs-p1\nThe agent is now running and will receive instructions via mailbox."}]}]},"uuid":"de2fab9c-d47f-4780-9035-fb109c42b7de","timestamp":"2026-04-27T04:17:36.732Z","toolUseResult":{"status":"teammate_spawned","prompt":"你是 cxs-p1 team 的成员,name 是 `ranker-doc`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList` 看可用任务,认领 **Task #1** (P1-1: ranking 权重说明文档): `TaskUpdate({taskId:\"1\", owner:\"ranker-doc\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"1\"})` 读完整需求。\n3. 读 `ranking.ts` 全文 + `query.ts` 中 `searchSessionsByFts` 的 `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)` 调用,理解每个权重的实际作用。\n4. 浏览 `docs/ARCHITECTURE.md` 学习风格(中文 markdown、分节、列表)。\n5. 创建 `/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md`。每个权重单独一节,回答:**值是什么 / 为什么是这个量级 / 改动它会影响什么**。重点不是让人查到值,而是让未来的维护者敢/不敢调。\n6. 跑 `bun run check`(在仓库根目录)确认通过。\n7. `TaskUpdate({taskId:\"1\", status:\"completed\"})`。\n8. `SendMessage({to:\"team-lead\", summary:\"P1-1 done\", message:\"P1-1 完成: docs/RANKING_WEIGHTS.md 已写,bun run check ok。<一句话亮点>\"})`。\n\n## 约束\n\n- 只动 `docs/RANKING_WEIGHTS.md` 一个文件。不要改代码。\n- 文档是给 *人*(或 agent 维护者)看的,不是代码注释的搬运 — 要解释 *why*,不要解释 *what*。\n- 不创建额外文档文件(README、index 之类)。\n- 完成后必须发一条 SendMessage 给 team-lead,否则 lead 不知道你完成了。","teammate_id":"ranker-doc@cxs-p1","agent_id":"ranker-doc@cxs-p1","agent_type":"general-purpose","model":"claude-opus-4-7","name":"ranker-doc","color":"blue","tmux_session_name":"in-process","tmux_window_name":"in-process","tmux_pane_id":"in-process","team_name":"cxs-p1","is_splitpane":false,"plan_mode_required":false},"sourceToolAssistantUUID":"c64dc8a9-2e7b-456b-a927-5741277b8d6e","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"de2fab9c-d47f-4780-9035-fb109c42b7de","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UAa9gESPkTBU5MXMLEKDhB","name":"Agent","input":{"description":"P1-2 mixed match test","subagent_type":"general-purpose","team_name":"cxs-p1","name":"mixed-tester","run_in_background":true,"prompt":"你是 cxs-p1 team 的成员,name 是 `mixed-tester`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #2** (P1-2: mixed match 对照测试): `TaskUpdate({taskId:\"2\", owner:\"mixed-tester\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"2\"})` 读完整需求。\n3. 读以下文件以理解现状:\n - `ranking.ts` 重点看 `shouldUseDisplayRow` (行 148-157) 与 `scoreSession` (行 186-197)。\n - `query.ts` 重点看 `findSessions`、`searchMessageHits`、`searchSessionHits` 如何拼出 raw rows。\n - `query.test.ts` 行 300+ 的 \"session-level fields have explicit ranking weights\" 测试,学组装数据风格(`openWriteDb` + `replaceSession`)。\n4. 在 `query.test.ts` 加新测试,覆盖:\n a) 同 session 同时有 strong session hit + weak message hit → 展示行 `matchSource === \"message\"` 且 `matchSeq` 是 number,但该 session 的 score / 排名压过\"只有 message hit\"的对照 session。\n b) 同 session 只有 session hit → `matchSource === \"session\"`, `matchSeq === null`。\n c) (可选) 同 session 只有 message hit → 自然走 message,作为对照基线。\n5. 跑 `bun test query.test.ts` 看新加测试绿;再跑 `bun run check` 全套通过。\n6. `TaskUpdate({taskId:\"2\", status:\"completed\"})`。\n7. `SendMessage({to:\"team-lead\", summary:\"P1-2 done\", message:\"P1-2 完成: query.test.ts 新增 N 条 mixed match 测试,bun run check ok。<一句话亮点,例如 'displayRow 选择行为已锁定为契约'>\"})`。\n\n## 约束\n\n- 只动 `query.test.ts` 一个文件。不要改 `query.ts` / `ranking.ts` — 这次是用测试 *锁定*现有行为,不是修改它。\n- 测试名要描述行为,不要写 \"test1 / test2\"。\n- 不要 mock — 用现有的 `openWriteDb` + `replaceSession` 真实路径。\n- 完成后必须发 SendMessage 给 team-lead。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"94e9e048-0f6d-4201-b127-adacce57252b","timestamp":"2026-04-27T04:17:48.308Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"94e9e048-0f6d-4201-b127-adacce57252b","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UAa9gESPkTBU5MXMLEKDhB","type":"tool_result","content":[{"type":"text","text":"Spawned successfully.\nagent_id: mixed-tester@cxs-p1\nname: mixed-tester\nteam_name: cxs-p1\nThe agent is now running and will receive instructions via mailbox."}]}]},"uuid":"fa723a23-22a4-4b3b-9399-f343e789f1b7","timestamp":"2026-04-27T04:17:48.376Z","toolUseResult":{"status":"teammate_spawned","prompt":"你是 cxs-p1 team 的成员,name 是 `mixed-tester`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #2** (P1-2: mixed match 对照测试): `TaskUpdate({taskId:\"2\", owner:\"mixed-tester\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"2\"})` 读完整需求。\n3. 读以下文件以理解现状:\n - `ranking.ts` 重点看 `shouldUseDisplayRow` (行 148-157) 与 `scoreSession` (行 186-197)。\n - `query.ts` 重点看 `findSessions`、`searchMessageHits`、`searchSessionHits` 如何拼出 raw rows。\n - `query.test.ts` 行 300+ 的 \"session-level fields have explicit ranking weights\" 测试,学组装数据风格(`openWriteDb` + `replaceSession`)。\n4. 在 `query.test.ts` 加新测试,覆盖:\n a) 同 session 同时有 strong session hit + weak message hit → 展示行 `matchSource === \"message\"` 且 `matchSeq` 是 number,但该 session 的 score / 排名压过\"只有 message hit\"的对照 session。\n b) 同 session 只有 session hit → `matchSource === \"session\"`, `matchSeq === null`。\n c) (可选) 同 session 只有 message hit → 自然走 message,作为对照基线。\n5. 跑 `bun test query.test.ts` 看新加测试绿;再跑 `bun run check` 全套通过。\n6. `TaskUpdate({taskId:\"2\", status:\"completed\"})`。\n7. `SendMessage({to:\"team-lead\", summary:\"P1-2 done\", message:\"P1-2 完成: query.test.ts 新增 N 条 mixed match 测试,bun run check ok。<一句话亮点,例如 'displayRow 选择行为已锁定为契约'>\"})`。\n\n## 约束\n\n- 只动 `query.test.ts` 一个文件。不要改 `query.ts` / `ranking.ts` — 这次是用测试 *锁定*现有行为,不是修改它。\n- 测试名要描述行为,不要写 \"test1 / test2\"。\n- 不要 mock — 用现有的 `openWriteDb` + `replaceSession` 真实路径。\n- 完成后必须发 SendMessage 给 team-lead。","teammate_id":"mixed-tester@cxs-p1","agent_id":"mixed-tester@cxs-p1","agent_type":"general-purpose","model":"claude-opus-4-7","name":"mixed-tester","color":"green","tmux_session_name":"in-process","tmux_window_name":"in-process","tmux_pane_id":"in-process","team_name":"cxs-p1","is_splitpane":false,"plan_mode_required":false},"sourceToolAssistantUUID":"94e9e048-0f6d-4201-b127-adacce57252b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"fa723a23-22a4-4b3b-9399-f343e789f1b7","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_019daXn5PiRhs7NTqzY8intV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Lf2Cx6pVngz4Vwc3sNsFme","name":"Agent","input":{"description":"P1-3 perf bench script","subagent_type":"general-purpose","team_name":"cxs-p1","name":"perf-bencher","run_in_background":true,"prompt":"你是 cxs-p1 team 的成员,name 是 `perf-bencher`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 背景\n\n本机 `~/.codex/sessions` 已有约 3110 个 jsonl session,可直接用作真实大库基准数据。不要合成 mock 数据。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #3** (P1-3: 真实大库性能基准): `TaskUpdate({taskId:\"3\", owner:\"perf-bencher\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"3\"})` 读完整需求(尤其是输出 JSON+MD 双格式、5 次 run、丢弃 warmup 取后 4 次 p50/p95、stdout 打 JSON summary 这些细节)。\n3. 读 `eval/run-manual-eval.ts` 全文学风格(子进程 spawn `./bin/cxs`、`mkdirSync`、`data/<...>` 输出布局、stdout JSON summary 的格式)。\n4. 读 `eval/manual-queries.json` 取代表性 query;如果不合适做基准(例如太长/太冷僻),可硬编码 5-8 个混合中英文 + 单/多 token 的 query。在脚本顶部用常量声明,加注释说明为什么选这些。\n5. 创建 `/Users/envvar/work/repos/cxs/eval/perf-bench.ts`,实现:\n - 入参: `--root` (默认 `~/.codex/sessions`,用 `os.homedir()` 解析,不要硬编码用户路径)、`--db` (默认 tmp 路径,用 `os.tmpdir()`)、`--json-only` (可选,只打 stdout 不写文件)。\n - 跑 sync: 用 `Bun.spawn` 调 `./bin/cxs sync --db <db> --root <root> --json`,记 `performance.now()` 前后,取耗时;解析输出 JSON 拿 `processed`/sessionCount。\n - 跑 find: 每个 query 跑 5 次,丢弃第 1 次(warmup),后 4 次取 p50 (median) / p95(简化:取最大值,4 个样本 p95 没意义可以解释清楚)。\n - 跑 stats: `cxs stats --db <db> --json`,拿 `dbSizeBytes`。\n - 输出: `data/cxs-perf/<ISO timestamp 去冒号>/report.json` + `report.md`(后者人类可读,数字对齐)。\n - stdout 打一个 JSON summary,字段:`outDir, sessionCount, syncMs, dbSizeBytes, queryCount, slowestQuery: {query, p95Ms}`。\n6. package.json 加 `\"eval:perf\": \"bun run ./eval/perf-bench.ts\"` 到 scripts(放 `eval:manual` 旁)。\n7. 实跑一次: `bun run eval:perf`(用默认 root 和 tmp db)。\n - 如果 sync 报错或耗时 > 5 分钟,不要重试,把 stderr 拿回来报告给 lead — 可能要调整。\n - 跑成功后从 stdout 取 sessionCount / syncMs / slowestQuery 三个数字。\n8. 跑 `bun run check` 确认 type check + 现有测试不受影响。\n9. `TaskUpdate({taskId:\"3\", status:\"completed\"})`。\n10. `SendMessage({to:\"team-lead\", summary:\"P1-3 done\", message:\"P1-3 完成: eval/perf-bench.ts 已建,实跑数据 sessionCount=X, syncMs=Y, slowestQuery '<...>' p95=Z ms。bun run check ok。\"})`。\n\n## 约束\n\n- 只动 `eval/perf-bench.ts` (新建) 和 `package.json`(加一行 script)。\n- **不要**新增 npm 依赖,纯 stdlib + bun。\n- **不要**改 cxs 核心代码(cli.ts/query.ts/db.ts/ranking.ts)。\n- **不要**自动 commit。\n- 输出目录 `data/cxs-perf/` 应该被现有 `.gitignore` 覆盖(`data/` 已在 ignore),不需新增 ignore 规则,但请确认。\n- 完成后必须发 SendMessage 给 team-lead 报告三个关键数字。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2329,"cache_read_input_tokens":156516,"output_tokens":4168,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2329},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4168,"cache_read_input_tokens":156516,"cache_creation_input_tokens":2329,"cache_creation":{"ephemeral_5m_input_tokens":2329,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","timestamp":"2026-04-27T04:18:09.972Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"type":"last-prompt","lastPrompt":"开一个 team 来推进实现的工作","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"parentUuid":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"PreToolUse:Agent","toolUseID":"toolu_01Lf2Cx6pVngz4Vwc3sNsFme","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"182420b1-da55-4588-b136-26909cd52db1","timestamp":"2026-04-27T04:18:09.994Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lf2Cx6pVngz4Vwc3sNsFme","type":"tool_result","content":[{"type":"text","text":"Spawned successfully.\nagent_id: perf-bencher@cxs-p1\nname: perf-bencher\nteam_name: cxs-p1\nThe agent is now running and will receive instructions via mailbox."}]}]},"uuid":"b50042dd-45a0-49da-b968-17add872c8b0","timestamp":"2026-04-27T04:18:10.085Z","toolUseResult":{"status":"teammate_spawned","prompt":"你是 cxs-p1 team 的成员,name 是 `perf-bencher`。team-lead 是 `team-lead`。仓库根目录是 `/Users/envvar/work/repos/cxs`。\n\n## 背景\n\n本机 `~/.codex/sessions` 已有约 3110 个 jsonl session,可直接用作真实大库基准数据。不要合成 mock 数据。\n\n## 步骤\n\n1. `TaskList`,认领 **Task #3** (P1-3: 真实大库性能基准): `TaskUpdate({taskId:\"3\", owner:\"perf-bencher\", status:\"in_progress\"})`。\n2. `TaskGet({taskId:\"3\"})` 读完整需求(尤其是输出 JSON+MD 双格式、5 次 run、丢弃 warmup 取后 4 次 p50/p95、stdout 打 JSON summary 这些细节)。\n3. 读 `eval/run-manual-eval.ts` 全文学风格(子进程 spawn `./bin/cxs`、`mkdirSync`、`data/<...>` 输出布局、stdout JSON summary 的格式)。\n4. 读 `eval/manual-queries.json` 取代表性 query;如果不合适做基准(例如太长/太冷僻),可硬编码 5-8 个混合中英文 + 单/多 token 的 query。在脚本顶部用常量声明,加注释说明为什么选这些。\n5. 创建 `/Users/envvar/work/repos/cxs/eval/perf-bench.ts`,实现:\n - 入参: `--root` (默认 `~/.codex/sessions`,用 `os.homedir()` 解析,不要硬编码用户路径)、`--db` (默认 tmp 路径,用 `os.tmpdir()`)、`--json-only` (可选,只打 stdout 不写文件)。\n - 跑 sync: 用 `Bun.spawn` 调 `./bin/cxs sync --db <db> --root <root> --json`,记 `performance.now()` 前后,取耗时;解析输出 JSON 拿 `processed`/sessionCount。\n - 跑 find: 每个 query 跑 5 次,丢弃第 1 次(warmup),后 4 次取 p50 (median) / p95(简化:取最大值,4 个样本 p95 没意义可以解释清楚)。\n - 跑 stats: `cxs stats --db <db> --json`,拿 `dbSizeBytes`。\n - 输出: `data/cxs-perf/<ISO timestamp 去冒号>/report.json` + `report.md`(后者人类可读,数字对齐)。\n - stdout 打一个 JSON summary,字段:`outDir, sessionCount, syncMs, dbSizeBytes, queryCount, slowestQuery: {query, p95Ms}`。\n6. package.json 加 `\"eval:perf\": \"bun run ./eval/perf-bench.ts\"` 到 scripts(放 `eval:manual` 旁)。\n7. 实跑一次: `bun run eval:perf`(用默认 root 和 tmp db)。\n - 如果 sync 报错或耗时 > 5 分钟,不要重试,把 stderr 拿回来报告给 lead — 可能要调整。\n - 跑成功后从 stdout 取 sessionCount / syncMs / slowestQuery 三个数字。\n8. 跑 `bun run check` 确认 type check + 现有测试不受影响。\n9. `TaskUpdate({taskId:\"3\", status:\"completed\"})`。\n10. `SendMessage({to:\"team-lead\", summary:\"P1-3 done\", message:\"P1-3 完成: eval/perf-bench.ts 已建,实跑数据 sessionCount=X, syncMs=Y, slowestQuery '<...>' p95=Z ms。bun run check ok。\"})`。\n\n## 约束\n\n- 只动 `eval/perf-bench.ts` (新建) 和 `package.json`(加一行 script)。\n- **不要**新增 npm 依赖,纯 stdlib + bun。\n- **不要**改 cxs 核心代码(cli.ts/query.ts/db.ts/ranking.ts)。\n- **不要**自动 commit。\n- 输出目录 `data/cxs-perf/` 应该被现有 `.gitignore` 覆盖(`data/` 已在 ignore),不需新增 ignore 规则,但请确认。\n- 完成后必须发 SendMessage 给 team-lead 报告三个关键数字。","teammate_id":"perf-bencher@cxs-p1","agent_id":"perf-bencher@cxs-p1","agent_type":"general-purpose","model":"claude-opus-4-7","name":"perf-bencher","color":"yellow","tmux_session_name":"in-process","tmux_window_name":"in-process","tmux_pane_id":"in-process","team_name":"cxs-p1","is_splitpane":false,"plan_mode_required":false},"sourceToolAssistantUUID":"d7cd04bb-18f8-4c0f-866c-ea53b37706f6","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"b50042dd-45a0-49da-b968-17add872c8b0","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_01N9ALqvWKLG8M2hhy23ThL2","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4457,"cache_read_input_tokens":158845,"output_tokens":332,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4457},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":332,"cache_read_input_tokens":158845,"cache_creation_input_tokens":4457,"cache_creation":{"ephemeral_5m_input_tokens":4457,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"9bf69e52-adcd-4876-bc79-f5cfc90a3770","timestamp":"2026-04-27T04:18:14.379Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"9bf69e52-adcd-4876-bc79-f5cfc90a3770","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_01N9ALqvWKLG8M2hhy23ThL2","type":"message","role":"assistant","content":[{"type":"text","text":"3 个 teammate 已并行起跑:\n\n| Teammate | 任务 | 主战场 |\n|----------|------|--------|\n| `ranker-doc` | P1-1 | `docs/RANKING_WEIGHTS.md` |\n| `mixed-tester` | P1-2 | `query.test.ts` |\n| `perf-bencher` | P1-3 | `eval/perf-bench.ts` + 实跑 3110 真实 session |\n\n每人完工后会发消息回来,我会汇总。`perf-bencher` 那条要跑真实 sync,可能耗时较长,先到的我先汇报。"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4457,"cache_read_input_tokens":158845,"output_tokens":332,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4457},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":332,"cache_read_input_tokens":158845,"cache_creation_input_tokens":4457,"cache_creation":{"ephemeral_5m_input_tokens":4457,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"16da8a3e-ed7b-4d00-aac4-eec47a64961a","timestamp":"2026-04-27T04:18:17.714Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"baf2b181-7fb1-4d75-9da6-760823bac14d","isSidechain":false,"teamName":"cxs-p1","type":"system","subtype":"stop_hook_summary","hookCount":2,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":3151},{"command":"http://localhost:59948/claude_code/hooks"}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":true,"level":"suggestion","timestamp":"2026-04-27T04:18:20.899Z","uuid":"fa966ffd-4fef-42c2-8956-b0a3976f9b34","toolUseID":"ef1e9f7a-9867-43f1-98a8-bdce5dc473d1","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"fa966ffd-4fef-42c2-8956-b0a3976f9b34","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":"<teammate-message teammate_id=\"mixed-tester\" color=\"green\" summary=\"P1-2 done\">\nP1-2 完成: query.test.ts 新增 3 条 mixed match 对照测试,bun run check 全套 40 个测试通过。亮点: displayRow 选择契约已锁定 — mixed session 同时含 strong session hit + weak message hit 时,展示行强制取 message(matchSeq 是真实 number,read-range 可重锚),但 sessionScore 仍由 titlePhrase/titleTermHits 顶上去压过 message-only 对照 session,保住\"用 session 命中提排名 + 用 message 命中给定位\"的双轨设计。文件: /Users/envvar/work/repos/cxs/query.test.ts\n</teammate-message>\n\n<teammate-message teammate_id=\"mixed-tester\" color=\"green\">\n{\"type\":\"idle_notification\",\"from\":\"mixed-tester\",\"timestamp\":\"2026-04-27T04:19:29.469Z\",\"idleReason\":\"available\"}\n</teammate-message>"},"uuid":"a528faf5-3fd8-435b-8263-6ea23af5977e","timestamp":"2026-04-27T04:19:30.487Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"b61dbcbb-eb6d-4b39-a4df-91513a50aaa2","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"edited_text_file","filename":"/Users/envvar/work/repos/cxs/query.test.ts","snippet":"1\timport { afterEach, describe, expect, test } from \"bun:test\";\n2\timport { Database } from \"bun:sqlite\";\n3\timport { spawn } from \"node:child_process\";\n4\timport { mkdtempSync, mkdirSync, rmSync, writeFileSync } from \"node:fs\";\n5\timport { tmpdir } from \"node:os\";\n6\timport { join } from \"node:path\";\n7\timport { pathToFileURL } from \"node:url\";\n8\timport { openReadDb, openWriteDb, replaceSession } from \"./db\";\n9\timport { INDEX_VERSION } from \"./env\";\n10\timport { syncSessions } from \"./indexer\";\n11\timport {\n12\t classifyQueryProfile,\n13\t CurrentStateDbError,\n14\t findSessions,\n15\t getCurrentSessions,\n16\t getMessagePage,\n17\t getMessageRange,\n18\t} from \"./query\";\n19\t\n20\tconst tempDirs: string[] = [];\n21\t\n22\tafterEach(() => {\n23\t for (const dir of tempDirs.splice(0)) {\n24\t rmSync(dir, { recursive: true, force: true });\n25\t }\n26\t});\n27\t\n28\tdescribe(\"cxs retrieval flow\", () => {\n29\t test(\"current returns latest thread candidates for cwd from Codex state db\", () => {\n30\t const base = mkdtempSync(join(tmpdir(), \"cxs-current-\"));\n31\t tempDirs.push(base);\n32\t const stateDbPath = join(base, \"state.sqlite\");\n33\t const db = new Database(stateDbPath);\n34\t db.run(`\n35\t CREATE TABLE threads (\n36\t id TEXT PRIMARY KEY,\n37\t rollout_path TEXT NOT NULL,\n38\t cwd TEXT NOT NULL,\n39\t title TEXT NOT NULL,\n40\t updated_at_ms INTEGER\n41\t )\n42\t `);\n43\t db.run(\n44\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n45\t [\"11111111-1111-4111-8111-111111111111\", \"/tmp/a.jsonl\", \"/tmp/project\", \"older\", 100],\n46\t );\n47\t db.run(\n48\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n49\t [\"22222222-2222-4222-8222-222222222222\", \"/tmp/b.jsonl\", \"/tmp/project\", \"newer\", 200],\n50\t );\n51\t db.run(\n52\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n53\t [\"33333333-3333-4333-8333-333333333333\", \"/tmp/c.jsonl\", \"/tmp/other\", \"other\", 300],\n54\t );\n55\t db.close();\n56\t\n57\t const result = getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n58\t expect(result.cwd).toBe(\"/tmp/project\");\n59\t expect(result.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n60\t \"22222222-2222-4222-8222-222222222222\",\n61\t \"11111111-1111-4111-8111-111111111111\",\n62\t ]);\n63\t expect(result.candidates[0]?.filePath).toBe(\"/tmp/b.jsonl\");\n64\t });\n65\t\n66\t test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n67\t const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n68\t tempDirs.push(base);\n69\t const stateDbPath = join(base, \"state.sqlite\");\n70\t const db = new Database(stateDbPath);\n71\t db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n72\t db.close();\n73\t\n74\t let caught: unknown = null;\n75\t try {\n76\t getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n77\t } catch (error) {\n78\t caught = error;\n79\t }\n80\t expect(caught).toBeInstanceOf(CurrentStateDbError);\n81\t expect((caught as Error).message).toContain(\"threads\");\n82\t });\n83\t\n84\t test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {\n85\t const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));\n86\t tempDirs.push(base);\n87\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n88\t mkdirSync(sessionsRoot, { recursive: true });\n89\t\n90\t writeFileSync(\n91\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-11111111-1111-4111-8111-111111111111.jsonl\"),\n92\t [\n93\t line(\"session_meta\", { id: \"11111111-1111-4111-8111-111111111111\", cwd: \"/tmp/project-a\" }),\n94\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n95\t line(\"event_msg\", { type: \"user_message\", message: \"排查 fly deploy 失败\" }),\n96\t line(\"event_msg\", { type: \"agent_message\", message: \"先看 health check 和 readback\" }),\n97\t line(\"event_msg\", { type: \"user_message\", message: \"health check 还是 500\" }),\n98\t line(\"event_msg\", { type: \"agent_message\", message: \"继续检查 secrets readback\" }),\n99\t ].join(\"\\n\"),\n100\t );\n101\t\n102\t writeFileSync(\n103\t join(sessionsRoot, \"rollout-2026-04-21T11-00-00-22222222-2222-4222-8222-222222222222.jsonl\"),\n104\t [\n105\t line(\"session_meta\", { id: \"22222222-2222-4222-8222-222222222222\", cwd: \"/tmp/project-b\" }),\n106\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n107\t line(\"event_msg\", { type: \"user_message\", message: \"重构 markdown parser\" }),\n108\t line(\"event_msg\", { type: \"agent_message\", message: \"先补失败测试\" }),\n109\t ].join(\"\\n\"),\n110\t );\n111\t\n112\t const dbPath = join(base, \"index.sqlite\");\n113\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n114\t\n115\t expect(summary.added).toBe(2);\n116\t\n117\t const found = findSessions(dbPath, \"health check\", 5);\n118\t expect(found.results).toHaveLength(1);\n119\t expect(found.results[0]?.sessionUuid).toBe(\"11111111-1111-4111-8111-111111111111\");\n120\t expect(found.results[0]?.matchSeq).toBe(2);\n121\t\n122\t const range = getMessageRange(dbPath, \"11111111-1111-4111-8111-111111111111\", {\n123\t seq: 2,\n124\t before: 1,\n125\t after: 1,\n126\t });\n127\t expect(range.anchorSeq).toBe(2);\n128\t expect(range.messages.map((message) => message.seq)).toEqual([1, 2, 3]);\n129\t\n130\t const page = getMessagePage(dbPath, \"11111111-1111-4111-8111-111111111111\", 2, 2);\n131\t expect(page.messages.map((message) => message.seq)).toEqual([2, 3]);\n132\t });\n133\t\n134\t test(\"read-range can relocate anchor by query within a session\", async () => {\n135\t const base = mkdtempSync(join(tmpdir(), \"cxs-query-\"));\n136\t tempDirs.push(base);\n137\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n138\t mkdirSync(sessionsRoot, { recursive: true });\n139\t\n140\t writeFileSync(\n141\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-33333333-3333-4333-8333-333333333333.jsonl\"),\n142\t [\n143\t line(\"session_meta\", { id: \"33333333-3333-4333-8333-333333333333\", cwd: \"/tmp/project-c\" }),\n144\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n145\t line(\"event_msg\", { type: \"user_message\", message: \"先做回滚预案\" }),\n146\t line(\"event_msg\", { type: \"agent_message\", message: \"health check 先确认 500 触发点\" }),\n147\t line(\"event_msg\", { type: \"agent_message\", message: \"然后看 readback\" }),\n148\t ].join(\"\\n\"),\n149\t );\n150\t\n151\t const dbPath = join(base, \"index.sqlite\");\n152\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n153\t expect(summary.added).toBe(1);\n154\t\n155\t const range = getMessageRange(dbPath, \"33333333-3333-4333-8333-333333333333\", {\n156\t query: \"health check\",\n157\t before: 0,\n158\t after: 1,\n159\t });\n160\t\n161\t expect(range.anchorSeq).toBe(1);\n162\t expect(range.rangeStartSeq).toBe(1);\n163\t expect(range.rangeEndSeq).toBe(2);\n164\t expect(range.messages.map((message) => message.seq)).toEqual([1, 2]);\n165\t });\n166\t\n167\t test(\"session title hit outranks broad incidental mentions\", async () => {\n168\t const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\n169\t tempDirs.push(base);\n170\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n171\t mkdirSync(sessionsRoot, { recursive: true });\n172\t\n173\t writeFileSync(\n174\t join(sessionsRoot, \"rollout-2026-04-21T09-00-00-aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa.jsonl\"),\n175\t [\n176\t line(\"session_meta\", { id: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n177\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n178\t line(\"event_msg\", { type: \"user_message\", message: \"同步新 Mac 配置\" }),\n179\t line(\"event_msg\", { type: \"agent_message\", message: \"先确认 Hammerspoon 进程在不在\" }),\n180\t line(\"event_msg\", { type: \"agent_message\", message: \"Hammerspoon 路径已经对了\" }),\n181\t line(\"event_msg\", { type: \"agent_message\", message: \"如果 Hammerspoon console 没报错就继续\" }),\n182\t ].join(\"\\n\"),\n183\t );\n184\t\n185\t writeFileSync(\n\n... [632 lines truncated] ..."},"type":"attachment","uuid":"78379f09-277f-40b0-928f-d20bf9e88e31","timestamp":"2026-04-27T04:19:39.284Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"067a72e6-54bc-476c-8998-88ef6a651717","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yP26WuPzdJyigxkE75fZu","type":"tool_result","content":"report.json 1.7K\nreport.md 1.1K\n---summary---\n{\n \"generatedAt\": \"2026-04-27T04:21:08.520Z\",\n \"dbPath\": \"/var/folders/vn/4x0ljfzs2bjff2j7w_m60__h0000gn/T/cxs-perf-1777263589915.db\",\n \"rootDir\": \"/Users/envvar/.codex/sessions\",\n \"sessionCount\": 2867,\n \"syncMs\": 75001.04,\n \"dbSizeBytes\": 251527168,\n \"perQuery\": [\n {\n \"query\": \"hammerspoon\",\n \"runs\": 4,\n \"samplesMs\": [\n 99.3,\n 89.04,\n 88.1,\n 87.94,\n 85.94\n ],\n \"p50Ms\": 88.02,\n \"p95Ms\": 89.04\n },\n {\n \"query\": \"envchain\",\n \"runs\": 4,\n \"samplesMs\": [\n 85.45,\n 83.7,\n 84.68,\n 84.14,\n 86.06\n ],\n \"p50Ms\": 84.41,\n \"p95Ms\": 86.06\n },\n {\n \"query\": \"sb\",\n \"runs\": 4,\n \"samplesMs\": [\n 90.08,\n 87.55,\n 87.35,\n 86.38,\n 85.66\n ],\n \"p50Ms\": 86.86,\n \"p95Ms\": 87.55\n },\n {\n \"query\": \"fly deploy\",\n \"runs\": 4,\n \"samplesMs\": [\n 84.51,\n 84.34,\n 85.29,\n 86.66,\n 83.8\n ],\n \"p50Ms\": 84.82,\n \"p95Ms\": 86.66\n },\n[rerun: b7]","is_error":false}]},"uuid":"9ed47ed7-a0b8-4451-8f6f-e25f95ac889e","timestamp":"2026-04-27T04:21:36.741Z","toolUseResult":{"stdout":"report.json 1.7K\nreport.md 1.1K\n---summary---\n{\n \"generatedAt\": \"2026-04-27T04:21:08.520Z\",\n \"dbPath\": \"/var/folders/vn/4x0ljfzs2bjff2j7w_m60__h0000gn/T/cxs-perf-1777263589915.db\",\n \"rootDir\": \"/Users/envvar/.codex/sessions\",\n \"sessionCount\": 2867,\n \"syncMs\": 75001.04,\n \"dbSizeBytes\": 251527168,\n \"perQuery\": [\n {\n \"query\": \"hammerspoon\",\n \"runs\": 4,\n \"samplesMs\": [\n 99.3,\n 89.04,\n 88.1,\n 87.94,\n 85.94\n ],\n \"p50Ms\": 88.02,\n \"p95Ms\": 89.04\n },\n {\n \"query\": \"envchain\",\n \"runs\": 4,\n \"samplesMs\": [\n 85.45,\n 83.7,\n 84.68,\n 84.14,\n 86.06\n ],\n \"p50Ms\": 84.41,\n \"p95Ms\": 86.06\n },\n {\n \"query\": \"sb\",\n \"runs\": 4,\n \"samplesMs\": [\n 90.08,\n 87.55,\n 87.35,\n 86.38,\n 85.66\n ],\n \"p50Ms\": 86.86,\n \"p95Ms\": 87.55\n },\n {\n \"query\": \"fly deploy\",\n \"runs\": 4,\n \"samplesMs\": [\n 84.51,\n 84.34,\n 85.29,\n 86.66,\n 83.8\n ],\n \"p50Ms\": 84.82,\n \"p95Ms\": 86.66\n },","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"067a72e6-54bc-476c-8998-88ef6a651717","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"36de7132-118a-40c5-b64e-dd9d08ab3bf6","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_014YXtUfV6hThLytndpffHFY","type":"message","role":"assistant","content":[{"type":"text","text":"数据齐:2867 sessions / 75s sync / 251MB db / 多 query p95 ~86-89ms。再跑一次完整 check 确保三人改动合在一起没冲突。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1117,"cache_read_input_tokens":172288,"output_tokens":1028,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1117},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1028,"cache_read_input_tokens":172288,"cache_creation_input_tokens":1117,"cache_creation":{"ephemeral_5m_input_tokens":1117,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"4fae2b89-023d-4a2d-9aa2-6255aee160a7","timestamp":"2026-04-27T04:21:52.024Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"a80ddc5f-e682-4940-bdc9-8511112a80ab","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01KBzt3WxyzeYKDUiNrY5S51","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"28267f02-6782-4926-bd8f-b5a6faa80e99","timestamp":"2026-04-27T04:21:53.179Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"a80ddc5f-e682-4940-bdc9-8511112a80ab","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KBzt3WxyzeYKDUiNrY5S51","type":"tool_result","content":"$ tsc --noEmit && bun test\nbun test v1.3.11 (af24e281)\n\n 40 pass\n 0 fail\n 139 expect() calls\nRan 40 tests across 7 files. [1.63s]\n---report.md---\n# cxs 性能基准报告\n\n- generated_at: 2026-04-27T04:21:08.520Z\n- root: `/Users/envvar/.codex/sessions`\n- db: `/var/folders/vn/4x0ljfzs2bjff2j7w_m60__h0000gn/T/cxs-perf-1777263589915.db`\n- session_count: 2867\n- sync_ms: 75001.0\n- db_size: 239.9 MB (251527168 bytes)\n\n## per-query find latency\n\n运行配置: 每个 query 5 次,丢弃首次 warmup,统计后 4 次。\n\n| query | runs | p50 ms | p95 ms | samples (incl. warmup) ms |\n|-------|-----:|-------:|-------:|---------------------------|\n| `hammerspoon` | 4 | 88.0 | 89.0 | 99.3, 89.0, 88.1, 87.9, 85.9 |\n| `envchain` | 4 | 84.4 | 86.1 | 85.5, 83.7, 84.7, 84.1, 86.1 |\n| `sb` | 4 | 86.9 | 87.5 | 90.1, 87.5, 87.3, 86.4, 85.7 |\n| `fly deploy` | 4 | 84.8 | 86.7 | 84.5, 84.3, 85.3, 86.7, 83.8 |\n| `edge tts` | 4 | 181.5 | 190.1 | 173.6, 178.0, 179.6, 183.4, 190.1 |\n| `豆包输入法` | 4 | 86.0 | 90.8 | 91.4, 90.8, 87.2, 84.8, 83.3 |\n| `部署 health check` | 4 | 85.6 | 87.9 | 85.9, 81.4, 83.5, 87.6, 87.9 |\n\n> 注: 4 个有效样本下 p95 取最大值作为 worst-case 近似,统计意义有限。\n[rerun: b8]","is_error":false}]},"uuid":"6bf7b018-1e91-41ea-aa88-0e7587193df0","timestamp":"2026-04-27T04:21:55.385Z","toolUseResult":{"stdout":"$ tsc --noEmit && bun test\nbun test v1.3.11 (af24e281)\n\n 40 pass\n 0 fail\n 139 expect() calls\nRan 40 tests across 7 files. [1.63s]\n---report.md---\n# cxs 性能基准报告\n\n- generated_at: 2026-04-27T04:21:08.520Z\n- root: `/Users/envvar/.codex/sessions`\n- db: `/var/folders/vn/4x0ljfzs2bjff2j7w_m60__h0000gn/T/cxs-perf-1777263589915.db`\n- session_count: 2867\n- sync_ms: 75001.0\n- db_size: 239.9 MB (251527168 bytes)\n\n## per-query find latency\n\n运行配置: 每个 query 5 次,丢弃首次 warmup,统计后 4 次。\n\n| query | runs | p50 ms | p95 ms | samples (incl. warmup) ms |\n|-------|-----:|-------:|-------:|---------------------------|\n| `hammerspoon` | 4 | 88.0 | 89.0 | 99.3, 89.0, 88.1, 87.9, 85.9 |\n| `envchain` | 4 | 84.4 | 86.1 | 85.5, 83.7, 84.7, 84.1, 86.1 |\n| `sb` | 4 | 86.9 | 87.5 | 90.1, 87.5, 87.3, 86.4, 85.7 |\n| `fly deploy` | 4 | 84.8 | 86.7 | 84.5, 84.3, 85.3, 86.7, 83.8 |\n| `edge tts` | 4 | 181.5 | 190.1 | 173.6, 178.0, 179.6, 183.4, 190.1 |\n| `豆包输入法` | 4 | 86.0 | 90.8 | 91.4, 90.8, 87.2, 84.8, 83.3 |\n| `部署 health check` | 4 | 85.6 | 87.9 | 85.9, 81.4, 83.5, 87.6, 87.9 |\n\n> 注: 4 个有效样本下 p95 取最大值作为 worst-case 近似,统计意义有限。","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a80ddc5f-e682-4940-bdc9-8511112a80ab","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"e27b0fc8-328f-45f2-b51d-fed7da6b66d1","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_01Ww4c1eckHiyhh5YbLgvycy","type":"message","role":"assistant","content":[{"type":"text","text":"`bun run check` 全 40 tests 过。三人产出都收口。汇总:\n\n## P1 三任务并行完成\n\n| 任务 | Teammate | 产出 | 关键数据 |\n|------|----------|------|----------|\n| **P1-1** ranking 权重说明 | `ranker-doc` | `docs/RANKING_WEIGHTS.md` 234 行 | 5 层组织 + 调权 checklist,涵盖 SQL 列权重 / row signal / session signal / recency / display rule |\n| **P1-2** mixed match 测试 | `mixed-tester` | `query.test.ts` +177 行,3 条新测试 | mixed/session-only/message-only 三场景全锁,验证\"session signal 提排名 + message signal 给定位\"双轨契约 |\n| **P1-3** 真实大库基准 | `perf-bencher` | `eval/perf-bench.ts` + `package.json` 新 script + `data/cxs-perf/<ts>/report.{json,md}` | 2867 session / sync 75s / db 240 MB / 单 token query p95 ≈ 86-90ms / 双 token \"edge tts\" p95 ≈ 190ms |\n\n**关键观察**:`edge tts` 双 token 比单 token 慢一倍多,可能是 FTS AND-match 在 2867 session 索引上的预期成本,但值得在后续 P2 阶段(若做 reranker)留意是否能用 phrase pre-filter 拉低。\n\n**git status** 现状:\n```\n M package.json (eval:perf script)\n M query.test.ts (P1-2 测试)\n?? docs/RANKING_WEIGHTS.md (P1-1)\n?? eval/perf-bench.ts (P1-3)\n```\n\n完整 `bun run check`(tsc + 40 tests)绿。\n\n下一步要不要我:(a) 把 P1 三条按 focused commits 提(P1-1 / P1-2 / P1-3 分三个)、(b) 一并打到一个 P1 commit、(c) 先 shutdown team 再问、还是 (d) 别的?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1765,"cache_read_input_tokens":173405,"output_tokens":1230,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1765},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1230,"cache_read_input_tokens":173405,"cache_creation_input_tokens":1765,"cache_creation":{"ephemeral_5m_input_tokens":1765,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d28dd505-7bb3-40b1-9f17-f3967ccb8f80","timestamp":"2026-04-27T04:22:17.924Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"d28dd505-7bb3-40b1-9f17-f3967ccb8f80","isSidechain":false,"teamName":"cxs-p1","attachment":{"type":"hook_success","hookName":"Stop","toolUseID":"51455ca5-2315-4220-b8d2-6e89a258164e","hookEvent":"Stop","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"b7cd132d-b231-49c7-8ae4-182a09c261aa","timestamp":"2026-04-27T04:22:18.008Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"b7cd132d-b231-49c7-8ae4-182a09c261aa","isSidechain":false,"teamName":"cxs-p1","type":"system","subtype":"stop_hook_summary","hookCount":2,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":3400},{"command":"http://localhost:59948/claude_code/hooks"}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":true,"level":"suggestion","timestamp":"2026-04-27T04:22:21.388Z","uuid":"ec6ecc4e-9603-4754-a5d1-2e863ee2e5cb","toolUseID":"51455ca5-2315-4220-b8d2-6e89a258164e","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"ec6ecc4e-9603-4754-a5d1-2e863ee2e5cb","isSidechain":false,"teamName":"cxs-p1","promptId":"562a89f0-6247-4a01-aeca-e5331425065b","type":"user","message":{"role":"user","content":"<teammate-message teammate_id=\"perf-bencher\" color=\"yellow\" summary=\"P1-3 done\">\nP1-3 完成:\n\n- 新建 `/Users/envvar/work/repos/cxs/eval/perf-bench.ts`,新增 `eval:perf` script。\n- 仅改动 `eval/perf-bench.ts` (新建) 和 `package.json` (加一行 script),无新增依赖,未改 cxs 核心代码。\n- 实跑产出: `data/cxs-perf/2026-04-27T04-19-49-915Z/report.{json,md}` (data/ 已在 .gitignore 内,确认覆盖)。\n\n关键数字 (本机 ~/.codex/sessions, tmp db, 5 次 run 丢弃首次):\n- sessionCount = 2867 (注: 任务背景说约 3110,实测 sync 扫描数为 2867,可能近期清理过)\n- syncMs = 75001 ms (~75 s, 全量首次同步)\n- 最慢 query: `edge tts` p95 = 190.1 ms (其他 query p95 在 86-91 ms 区间)\n- dbSizeBytes = 251,527,168 (~240 MB)\n\n`bun run check`: tsc + 40 tests 全过。\n\n实现要点:\n- bench query 7 个,覆盖单 token / 短 token (sb) / 多 token 英文 / CJK 短语 / 中英混合,顶部常量声明 + 注释说明选择理由。\n- 4 样本下 p95 = max(samples) 作 worst-case 近似,在 md 报告里加了脚注说明统计意义有限。\n- `--root` 默认 `os.homedir()/.codex/sessions`,`--db` 默认 `os.tmpdir()`,支持 `--json-only`。\n- root 不存在时 exit 1,不塞 mock 数据。\n</teammate-message>\n\n<teammate-message teammate_id=\"perf-bencher\" color=\"yellow\">\n{\"type\":\"idle_notification\",\"from\":\"perf-bencher\",\"timestamp\":\"2026-04-27T04:21:39.584Z\",\"idleReason\":\"available\"}\n</teammate-message>\n\n<teammate-message teammate_id=\"perf-bencher\" color=\"yellow\" summary=\"P1-3 already completed\">\n收到 P1-3 重复任务分配,但任务已在前一轮完成:\n\n- Task #3 status = completed (已更新)\n- `eval/perf-bench.ts` 已建,`package.json` 加了 `eval:perf` script\n- 实跑产出: `/Users/envvar/work/repos/cxs/data/cxs-perf/2026-04-27T04-19-49-915Z/report.{json,md}`\n- 数字: sessionCount=2867, syncMs=75001 ms, slowestQuery `edge tts` p95=190.1 ms, dbSize ≈ 240 MB\n- `bun run check`: tsc + 40 tests 全过\n\n无新动作。如果你需要我跑第二次 bench 取更稳定的数字,或追加更多 query,请明示。\n</teammate-message>\n\n<teammate-message teammate_id=\"perf-bencher\" color=\"yellow\">\n{\"type\":\"idle_notification\",\"from\":\"perf-bencher\",\"timestamp\":\"2026-04-27T04:21:54.731Z\",\"idleReason\":\"available\"}\n</teammate-message>"},"uuid":"27622a27-71cf-4b6c-9c8d-2cc6a30e806e","timestamp":"2026-04-27T04:22:21.395Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"a08bc9b2-19e9-4220-9e8f-a86b37a44678","isSidechain":false,"teamName":"cxs-p1","message":{"model":"claude-opus-4-7","id":"msg_01RaKc9vjuoDuWa64EjmUxkL","type":"message","role":"assistant","content":[{"type":"text","text":"perf-bencher 详细报告已收。三人全部完工,产出干净不重叠(P1-1=新文档、P1-2=query.test.ts、P1-3=eval/perf-bench.ts+package.json),适合拆 3 个 focused commits。\n\n之前问的下一步还没拿到答复,重新确认一下。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":2359,"cache_read_input_tokens":175170,"output_tokens":1475,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2359},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":1475,"cache_read_input_tokens":175170,"cache_creation_input_tokens":2359,"cache_creation":{"ephemeral_5m_input_tokens":2359,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"fa765617-2f31-49d0-83cf-0ee7da0c7805","timestamp":"2026-04-27T04:22:37.445Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"542f9953-24ec-4b76-acc4-c081a3c35e0d","isSidechain":false,"attachment":{"type":"hook_success","hookName":"Stop","toolUseID":"a3b479e1-8d4b-479e-9976-22e230d24dce","hookEvent":"Stop","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"1661c2ab-ee28-4004-bcb5-1740e4cfc548","timestamp":"2026-04-27T05:32:21.198Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"1661c2ab-ee28-4004-bcb5-1740e4cfc548","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":2,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":3208},{"command":"http://localhost:59948/claude_code/hooks"}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":true,"level":"suggestion","timestamp":"2026-04-27T05:32:24.398Z","uuid":"b6022651-ab78-40d3-93bb-8d7107905abd","toolUseID":"a3b479e1-8d4b-479e-9976-22e230d24dce","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"b6022651-ab78-40d3-93bb-8d7107905abd","isSidechain":false,"type":"system","subtype":"away_summary","content":"目标是按 review 报告推进 cxs 的 P0/P1 修复;当前 4 个 commit 已落地、本地领先 origin/main 但未 push,bun run check 全过。下一步:决定是否 push 或开 PR。 (disable recaps in /config)","timestamp":"2026-04-27T05:35:32.284Z","uuid":"d39b1c1f-45fe-472c-a3bb-b2e12548dff4","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"d39b1c1f-45fe-472c-a3bb-b2e12548dff4","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":" Findings\n\n - Important: current --json 的 schema drift 处理仍不完整。query.ts:123 只检查 threads 表存在，但\n query.ts:128 立刻查询 rollout_path/title/cwd/updated_at_ms。如果表存在但列变了，异常不是\n CurrentStateDbError，CLI 也不会走 cli.ts:55 的结构化 error 分支。我用缺 rollout_path 的临时 state DB 复现\n 了：current --json 直接输出 SQLiteError: no such column: rollout_path 堆栈。建议补 PRAGMA\n table_info(threads) 的 required columns 检查，并加 missing-column CLI 测试。\n - Important: stale lock 修复仍不是原子 TOCTOU 修复。sync-lock.ts:75 在重新读取并比对后仍然调用 path-based\n rmSync；在二次读取和删除之间，另一个进程仍可能删除旧 stale lock 并创建新 lock，这个进程随后会删掉新\n lock。现在测试只覆盖“新 lock 已经在二次读取前出现”的情况。建议要么把表述改成 best-effort mitigation，要么\n 引入真正的互斥清理机制/OS lock，别把 P0-3 标为已彻底修复。\n - Minor: 新 ranking 文档不适合进公开 repo 原样保留。docs/RANKING_WEIGHTS.md:3 用了本机绝对路径链接，多处\n GitHub 不可用；docs/RANKING_WEIGHTS.md:213 还写了不存在的 read-range <uuid> --start 0。建议改相对路径，并\n 把命令改成当前 CLI 真实的 --seq / read-page 语义。"},"uuid":"82b3c3df-a971-4da0-9177-0602644dff93","timestamp":"2026-04-27T05:40:06.300Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"1b459dba-17a8-43dc-80e2-8b6b2bee3d18","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01M3Yf2AskQ92Birnq8p2KCG","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"d9dfaf6a-345e-4fb6-82e2-b3efc3b1a939","timestamp":"2026-04-27T05:40:58.525Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"1b459dba-17a8-43dc-80e2-8b6b2bee3d18","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M3Yf2AskQ92Birnq8p2KCG","type":"tool_result","content":"1\t# cxs ranking 权重说明\n2\t\n3\t本文是 [ranking.ts](/Users/envvar/work/repos/cxs/ranking.ts) 与 [query.ts](/Users/envvar/work/repos/cxs/query.ts) 中所有 magic constant 的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。\n4\t\n5\t每个权重都需要在三个层次的相对量级里活下去：\n6\t\n7\t1. **bm25 row-level 分数**(从 `query.ts:289` 或 `messages_fts` 的 `bm25(...)` 来)。被 `-row.score` 翻成正向后，单行通常落在 `2 ~ 15`。\n8\t2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n9\t3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n10\t\n11\t“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n12\t\n13\t---\n14\t\n15\t## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`"}]},"uuid":"59d150e7-8c3d-43bb-8c48-86eda25891ab","timestamp":"2026-04-27T05:40:58.529Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md","content":"# cxs ranking 权重说明\n\n本文是 [ranking.ts](/Users/envvar/work/repos/cxs/ranking.ts) 与 [query.ts](/Users/envvar/work/repos/cxs/query.ts) 中所有 magic constant 的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。\n\n每个权重都需要在三个层次的相对量级里活下去：\n\n1. **bm25 row-level 分数**(从 `query.ts:289` 或 `messages_fts` 的 `bm25(...)` 来)。被 `-row.score` 翻成正向后，单行通常落在 `2 ~ 15`。\n2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n\n“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n\n---\n\n## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`","numLines":15,"startLine":1,"totalLines":235}},"sourceToolAssistantUUID":"1b459dba-17a8-43dc-80e2-8b6b2bee3d18","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"e5cc03fa-c788-47d1-8646-85c6e3c8f482","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01D2j3Gt3EKRZBXwyUQqwjfY","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"5ae8a74f-52f2-4644-83c2-b95d6e07f8da","timestamp":"2026-04-27T05:40:59.114Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"e5cc03fa-c788-47d1-8646-85c6e3c8f482","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D2j3Gt3EKRZBXwyUQqwjfY","type":"tool_result","content":"205\treturn candidateScore > currentScore;\n206\t```\n207\t\n208\t这不是一个数字权重,而是一个**硬规则**:对 *显示用* 的 best row,**只要候选是 `message` 而当前不是,立刻替换,不比较分数**。\n209\t\n210\t**为什么这样选**:\n211\t\n212\t- `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。\n213\t- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。\n214\t- 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。\n215\t\n216\t**改动它会影响什么**:\n217\t\n218\t- 如果改成“按分数走”:列表里 snippet 更可能反映“为什么排第一”(因为常常是 title 命中导致它进了前列);代价是用户点进去发现 read-range 没法直接定位,UX 退步。\n219\t- 如果反过来 `session > message` 优先:对短查询友好(会显示标题命中),对长查询/具体问题查询灾难,因为用户其实最想看到他/agent 的原话。\n220\t- 当前选择是经过权衡的:**ranking 用全部信号,展示偏向 read-range 友好**。如果将来引入独立的 “preview” 系统(比如每个 session 给一段 LLM 生成的命中解释),这条规则可以放松,但现在不要改。\n221\t\n222\t---\n223\t\n224\t## 调权 checklist\n225\t\n226\t在动任何一个数字之前,先问自己:\n227\t\n228\t1. 这个改动属于 SQL 列权重 / row signal / session signal / recency 哪一层?\n229\t2. 它和同一层的其他常量有没有量级冲突?(例如改 `titlePhrase` 必须和 `titleTermHits` 一起看,因为 3-token 全命中标题的总分是 `30 + 30`)\n230\t3. 它和其他层的常量有没有量级冲突?(例如 `cwdTermHits=18` 和 `recency 起始=18` 是故意持平的)\n231\t4. 有没有 P1-2 mixed match 对照测试做回归?contentPhrase / SQL 列权重这种改动尤其需要。\n232\t5. 改动是为了一个具体的搜索 case 还是一个 *分类* 的搜索 case?为单 case 调权基本一定会让平均体验变差,先确认这是一个 pattern。\n233\t\n234\t如果这五条里有一条答不上来,**不要改**。"}]},"uuid":"727fffd5-2a50-4783-883b-1e6b798f502c","timestamp":"2026-04-27T05:40:59.116Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md","content":"return candidateScore > currentScore;\n```\n\n这不是一个数字权重,而是一个**硬规则**:对 *显示用* 的 best row,**只要候选是 `message` 而当前不是,立刻替换,不比较分数**。\n\n**为什么这样选**:\n\n- `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。\n- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。\n- 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。\n\n**改动它会影响什么**:\n\n- 如果改成“按分数走”:列表里 snippet 更可能反映“为什么排第一”(因为常常是 title 命中导致它进了前列);代价是用户点进去发现 read-range 没法直接定位,UX 退步。\n- 如果反过来 `session > message` 优先:对短查询友好(会显示标题命中),对长查询/具体问题查询灾难,因为用户其实最想看到他/agent 的原话。\n- 当前选择是经过权衡的:**ranking 用全部信号,展示偏向 read-range 友好**。如果将来引入独立的 “preview” 系统(比如每个 session 给一段 LLM 生成的命中解释),这条规则可以放松,但现在不要改。\n\n---\n\n## 调权 checklist\n\n在动任何一个数字之前,先问自己:\n\n1. 这个改动属于 SQL 列权重 / row signal / session signal / recency 哪一层?\n2. 它和同一层的其他常量有没有量级冲突?(例如改 `titlePhrase` 必须和 `titleTermHits` 一起看,因为 3-token 全命中标题的总分是 `30 + 30`)\n3. 它和其他层的常量有没有量级冲突?(例如 `cwdTermHits=18` 和 `recency 起始=18` 是故意持平的)\n4. 有没有 P1-2 mixed match 对照测试做回归?contentPhrase / SQL 列权重这种改动尤其需要。\n5. 改动是为了一个具体的搜索 case 还是一个 *分类* 的搜索 case?为单 case 调权基本一定会让平均体验变差,先确认这是一个 pattern。\n\n如果这五条里有一条答不上来,**不要改**。","numLines":30,"startLine":205,"totalLines":235}},"sourceToolAssistantUUID":"e5cc03fa-c788-47d1-8646-85c6e3c8f482","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"type":"last-prompt","lastPrompt":"Findings - Important: current --json 的 schema drift 处理仍不完整。query.ts:123 只检查 threads 表存在，但 query.ts:128 立刻查询 rollout_path/title/cwd/updated_at_ms。如果表存在但列变了，异常不是 CurrentStateDbError，CLI 也不会走…","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"parentUuid":"67179caf-5bb2-40b2-8d17-4a40162aef77","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_019CUDzdWEMsWxGJATi4ABm3","type":"message","role":"assistant","content":[{"type":"text","text":"三条 finding 全确认。Finding 1 和 3 修复方向明确,Finding 2 (P0-3) 给的两条路线差距大,先对一下。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5092,"cache_read_input_tokens":185563,"output_tokens":1246,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":5092},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1246,"cache_read_input_tokens":185563,"cache_creation_input_tokens":5092,"cache_creation":{"ephemeral_5m_input_tokens":5092,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"77259810-b969-4d93-bc2f-db699d8c7b9b","timestamp":"2026-04-27T05:41:05.795Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"22b0560b-36a7-4228-ad84-688e331b7ef4","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013zpzKyfUYrYcRqKYNE7fBS","type":"tool_result","content":"110\t\n111\texport function getCurrentSessions(\n112\t stateDbPath: string,\n113\t cwd: string,\n114\t limit: number,\n115\t): { cwd: string; candidates: CurrentSessionCandidate[] } {\n116\t const normalizedCwd = cwd.trim();\n117\t if (!normalizedCwd) {\n118\t return { cwd: normalizedCwd, candidates: [] };\n119\t }\n120\t\n121\t const db = new Database(stateDbPath, { readonly: true });\n122\t try {\n123\t if (!tableExists(db, \"threads\")) {\n124\t throw new CurrentStateDbError(\n125\t `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n126\t );\n127\t }\n128\t const candidates = db\n129\t .query<CurrentSessionCandidate, [string, number]>(`\n130\t SELECT\n131\t id AS sessionUuid,\n132\t title,\n133\t cwd,\n134\t rollout_path AS filePath,\n135\t COALESCE(updated_at_ms, 0) AS updatedAtMs\n136\t FROM threads\n137\t WHERE cwd = ?\n138\t ORDER BY updated_at_ms DESC\n139\t LIMIT ?"}]},"uuid":"22694113-2b07-41eb-b02a-8bd3212be243","timestamp":"2026-04-27T05:42:15.617Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/query.ts","content":"\nexport function getCurrentSessions(\n stateDbPath: string,\n cwd: string,\n limit: number,\n): { cwd: string; candidates: CurrentSessionCandidate[] } {\n const normalizedCwd = cwd.trim();\n if (!normalizedCwd) {\n return { cwd: normalizedCwd, candidates: [] };\n }\n\n const db = new Database(stateDbPath, { readonly: true });\n try {\n if (!tableExists(db, \"threads\")) {\n throw new CurrentStateDbError(\n `unexpected codex state db schema: missing 'threads' table at ${stateDbPath}`,\n );\n }\n const candidates = db\n .query<CurrentSessionCandidate, [string, number]>(`\n SELECT\n id AS sessionUuid,\n title,\n cwd,\n rollout_path AS filePath,\n COALESCE(updated_at_ms, 0) AS updatedAtMs\n FROM threads\n WHERE cwd = ?\n ORDER BY updated_at_ms DESC\n LIMIT ?","numLines":30,"startLine":110,"totalLines":516}},"sourceToolAssistantUUID":"22b0560b-36a7-4228-ad84-688e331b7ef4","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"f81f260b-18b0-4e9e-8c0e-d3d4e479787a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01DH61Qu3zM6ozVH3T2TATq9","type":"message","role":"assistant","content":[{"type":"text","text":"代码绿。补两条测试覆盖缺列场景。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":211,"cache_read_input_tokens":196225,"output_tokens":1295,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":211},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1295,"cache_read_input_tokens":196225,"cache_creation_input_tokens":211,"cache_creation":{"ephemeral_5m_input_tokens":211,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"47acb618-2979-47df-946f-6589c88881ef","timestamp":"2026-04-27T05:42:53.362Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"47acb618-2979-47df-946f-6589c88881ef","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01DH61Qu3zM6ozVH3T2TATq9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ZnXnqhopjxfsYYgdAss4B","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/query.test.ts","old_string":" test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });","new_string":" test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });\n\n test(\"current throws CurrentStateDbError when 'threads' is missing required columns\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-cols-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n // Table exists but lacks rollout_path & updated_at_ms — simulates an\n // upstream rename of the columns we SELECT in getCurrentSessions.\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL\n )\n `);\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n const message = (caught as Error).message;\n expect(message).toContain(\"rollout_path\");\n expect(message).toContain(\"updated_at_ms\");\n });"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":211,"cache_read_input_tokens":196225,"output_tokens":1295,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":211},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1295,"cache_read_input_tokens":196225,"cache_creation_input_tokens":211,"cache_creation":{"ephemeral_5m_input_tokens":211,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"8cb03e1d-d598-4470-8116-853ca4356a99","timestamp":"2026-04-27T05:43:05.890Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"8cb03e1d-d598-4470-8116-853ca4356a99","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ZnXnqhopjxfsYYgdAss4B","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/query.test.ts has been updated successfully."}]},"uuid":"e7fcd595-f18b-4492-8d80-c902799ff525","timestamp":"2026-04-27T05:43:05.913Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/query.test.ts","oldString":" test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });","newString":" test(\"current throws CurrentStateDbError when state db lacks 'threads' table\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n expect((caught as Error).message).toContain(\"threads\");\n });\n\n test(\"current throws CurrentStateDbError when 'threads' is missing required columns\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-current-cols-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n // Table exists but lacks rollout_path & updated_at_ms — simulates an\n // upstream rename of the columns we SELECT in getCurrentSessions.\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL\n )\n `);\n db.close();\n\n let caught: unknown = null;\n try {\n getCurrentSessions(stateDbPath, \"/tmp/project\", 10);\n } catch (error) {\n caught = error;\n }\n expect(caught).toBeInstanceOf(CurrentStateDbError);\n const message = (caught as Error).message;\n expect(message).toContain(\"rollout_path\");\n expect(message).toContain(\"updated_at_ms\");\n });","originalFile":null,"structuredPatch":[{"oldStart":81,"oldLines":6,"newStart":81,"newLines":34,"lines":[" expect((caught as Error).message).toContain(\"threads\");"," });"," ","+ test(\"current throws CurrentStateDbError when 'threads' is missing required columns\", () => {","+ const base = mkdtempSync(join(tmpdir(), \"cxs-current-cols-\"));","+ tempDirs.push(base);","+ const stateDbPath = join(base, \"state.sqlite\");","+ const db = new Database(stateDbPath);","+ // Table exists but lacks rollout_path & updated_at_ms — simulates an","+ // upstream rename of the columns we SELECT in getCurrentSessions.","+ db.run(`","+ CREATE TABLE threads (","+ id TEXT PRIMARY KEY,","+ cwd TEXT NOT NULL,","+ title TEXT NOT NULL","+ )","+ `);","+ db.close();","+","+ let caught: unknown = null;","+ try {","+ getCurrentSessions(stateDbPath, \"/tmp/project\", 10);","+ } catch (error) {","+ caught = error;","+ }","+ expect(caught).toBeInstanceOf(CurrentStateDbError);","+ const message = (caught as Error).message;","+ expect(message).toContain(\"rollout_path\");","+ expect(message).toContain(\"updated_at_ms\");","+ });","+"," test(\"sync -> find -> read-range -> read-page works on fixture sessions\", async () => {"," const base = mkdtempSync(join(tmpdir(), \"cxs-test-\"));"," tempDirs.push(base);"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"8cb03e1d-d598-4470-8116-853ca4356a99","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
571
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{"parentUuid":"e7fcd595-f18b-4492-8d80-c902799ff525","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Amo7RBHpmTshwe3ZNt2GQv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018xVJDZ3JnfsQgv6g1qJMDo","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.test.ts","old_string":" test(\"current --json emits structured error when state db schema is unexpected\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(\"threads\");\n });","new_string":" test(\"current --json emits structured error when state db schema is unexpected\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-schema-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n db.close();\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(\"threads\");\n });\n\n test(\"current --json emits structured error when 'threads' is missing required columns\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-cols-\"));\n tempDirs.push(base);\n const stateDbPath = join(base, \"state.sqlite\");\n const db = new Database(stateDbPath);\n db.run(`\n CREATE TABLE threads (\n id TEXT PRIMARY KEY,\n cwd TEXT NOT NULL,\n title TEXT NOT NULL\n )\n `);\n db.close();\n\n const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n expect(result.exitCode).toBe(1);\n const payload = JSON.parse(result.stdout) as {\n error: { code: string; message: string };\n };\n expect(payload.error.code).toBe(\"state_db_unavailable\");\n expect(payload.error.message).toContain(\"rollout_path\");\n // Crucially, raw SQLite errors should never reach stdout — exit 1 with a\n // structured payload is the contract.\n expect(result.stdout).not.toContain(\"SQLiteError\");\n });"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1340,"cache_read_input_tokens":196436,"output_tokens":1127,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1340},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1127,"cache_read_input_tokens":196436,"cache_creation_input_tokens":1340,"cache_creation":{"ephemeral_5m_input_tokens":1340,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"576b7dfb-67a1-43a5-bf39-c36718585c07","timestamp":"2026-04-27T05:43:16.484Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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The race window between\n// our initial read and rmSync is narrowed (we re-read and bail if the lock\n// no longer matches `expected`), but a residual window remains: between our\n// re-read and the path-based rmSync, another process can still delete the\n// stale lock and create a fresh one — we'd then unlink that fresh lock by\n// path. node:fs has no inode-pinned unlink, and we don't take an OS-level\n// flock, so this is the best we can do without native bindings. 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Between our `existing` read\n// and the actual `rmSync` call, another sync process can re-create the lock.\n// Re-read and compare pid+createdAt: only delete the lock file if it's still\n// the same one we judged dead. 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{"parentUuid":"ccf03b94-1098-4883-958b-1aec0c405859","isSidechain":false,"promptId":"eea4493c-ac81-4a19-837b-26dd840474e7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Tw25knawKoBtuQMGG3ahvA","type":"tool_result","content":"130\t`getCurrentSessions()` 已经采用这种结构，其他函数应对齐。\n131\t\n132\t### P0-3：sync lock stale 清理存在竞争窗口\n133\t\n134\t当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n135\t\n136\t建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n137\t\n138\t另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。\n139\t\n140\t### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n141\t\n142\t`current` 直接依赖 `threads` 表和字段：\n143\t\n144\t- `id`\n145\t- `rollout_path`\n146\t- `cwd`\n147\t- `title`\n148\t- `updated_at_ms`\n149\t"}]},"uuid":"2c31d9f9-f40d-4505-9d86-7ab58443b824","timestamp":"2026-04-27T05:44:00.898Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","content":"`getCurrentSessions()` 已经采用这种结构，其他函数应对齐。\n\n### P0-3：sync lock stale 清理存在竞争窗口\n\n当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。\n\n### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n\n`current` 直接依赖 `threads` 表和字段：\n\n- `id`\n- `rollout_path`\n- `cwd`\n- `title`\n- `updated_at_ms`\n","numLines":20,"startLine":130,"totalLines":203}},"sourceToolAssistantUUID":"ccf03b94-1098-4883-958b-1aec0c405859","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"2c31d9f9-f40d-4505-9d86-7ab58443b824","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_0119GTP3h7kHJsUsf9rfzabE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017x84spGVnK1H5ndoK8h4By","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/docs/CODE_QUALITY_REVIEW_2026-04-27.md","old_string":"### P0-3：sync lock stale 清理存在竞争窗口\n\n当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。","new_string":"### P0-3：sync lock stale 清理存在竞争窗口 ⚠️ best-effort mitigation\n\n> 状态：已在 commit `187c5d9` 部分缓解 — 引入 `tryRemoveStaleLock` 在删除前二次比对 `pid + createdAt`。但这是 best-effort,**不是原子 TOCTOU 修复**：在二次读取与 path-based `rmSync` 之间仍有残余 race 窗口,另一个进程可能在该窗口内删除并替换 lock,导致当前进程仍可能 `rmSync` 别人的新 lock。Node/Bun 无 inode-pinned unlink,要做真正原子需引入 OS-level flock(native bindings)。\n>\n> 工程决策：cxs 的 sync 是低并发异常路径,残余 race 窗口极窄,接受 best-effort 表述并在 `sync-lock.ts:tryRemoveStaleLock` 注释里明确标注。如未来观察到锁损坏,再考虑引入 flock 或换 rename-based 抓取。\n\n原文（保留作为背景）：当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":563,"cache_read_input_tokens":201278,"output_tokens":996,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":563},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":996,"cache_read_input_tokens":201278,"cache_creation_input_tokens":563,"cache_creation":{"ephemeral_5m_input_tokens":563,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c43e1b01-6d71-4701-bc37-d338ecdd9294","timestamp":"2026-04-27T05:44:13.205Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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在删除前二次比对 `pid + createdAt`。但这是 best-effort,**不是原子 TOCTOU 修复**：在二次读取与 path-based `rmSync` 之间仍有残余 race 窗口,另一个进程可能在该窗口内删除并替换 lock,导致当前进程仍可能 `rmSync` 别人的新 lock。Node/Bun 无 inode-pinned unlink,要做真正原子需引入 OS-level flock(native bindings)。\n>\n> 工程决策：cxs 的 sync 是低并发异常路径,残余 race 窗口极窄,接受 best-effort 表述并在 `sync-lock.ts:tryRemoveStaleLock` 注释里明确标注。如未来观察到锁损坏,再考虑引入 flock 或换 rename-based 抓取。\n\n原文（保留作为背景）：当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。","originalFile":"# cxs 代码质量审查报告（2026-04-27）\n\n## 结论\n\n当前 `cxs` 代码质量中上，已经是可接手的小型 CLI 项目；主要风险不在代码结构本身，而在工程化、异常路径和少数边界防御还需要补强。\n\n综合评分：**7.5 / 10**。\n\n## 审查范围\n\n本次审查基于当前工作区状态，而不是 clean `main`。审查覆盖：\n\n- `cli.ts`\n- `parser.ts`\n- `db.ts`\n- `query.ts`\n- `ranking.ts`\n- `indexer.ts`\n- `sync-lock.ts`\n- `types.ts`\n- 测试文件与项目文档\n\n验证命令：\n\n```bash\nbun test\n```\n\n结果：\n\n```text\n30 pass\n0 fail\n109 expect() calls\n```\n\n## 优点\n\n### 1. 项目边界清楚\n\n`cxs` 明确定位为本机 Codex session 日志的渐进式检索 CLI，不把 GUI、watcher、daemon、realtime sync 混进来。\n\n当前主工作流保持为：\n\n```text\nsync -> find -> read-range/read-page\n```\n\n### 2. 模块拆分健康\n\n当前代码地图比较清晰：\n\n- `cli.ts`：CLI 命令面\n- `indexer.ts`：sync 与索引更新\n- `parser.ts`：Codex JSONL 解析与 session summary 生成\n- `db.ts`：SQLite schema、session/message 存取、FTS 表维护\n- `query.ts`：find/list/read-range/read-page/current 查询编排\n- `ranking.ts`：session 级 heuristic rerank\n- `eval/`：manual eval 与 batch compare\n\n这对一个本地 CLI 来说是健康结构。\n\n### 3. 当前改动方向合理\n\n本轮实现方向整体正确：\n\n- 增加 `current` 命令，从 Codex state DB 按 cwd 找候选 session。\n- 增加 session-level recall，把 `title + summary_text + compact_text + reasoning_summary_text` 纳入 `sessions_fts`。\n- 引入 `matchSource = \"session\"` 与 `matchSeq = null` 语义，避免把 summary/compact 伪造成可回读 message。\n- 保持 `messages` 只表示真实可回读 transcript。\n- 增加 sync single-writer lock 与 read busy timeout。\n- 同步更新 README、AGENTS、architecture、roadmap、skill JSON schema 等文档。\n\n尤其值得保留的是：**不把 compact/summary 写成 `seq = -1` 的虚拟 message**。这个设计比把 session-level signal 混入 message stream 更干净。\n\n### 4. 测试覆盖不差\n\n现有测试已经覆盖：\n\n- CLI help/current/find/list/stats/read-page/sync fail\n- parser 对 compacted handoff 与 reasoning summary 的抽取\n- query 的 title-only recall、field weights、compact recall、snippet density、parallel read lock\n- indexer 的 strict/best-effort、writer lock、stale lock\n- eval predicate 语义\n\n## 主要问题与风险\n\n### P0-1：缺少真正的 TypeScript 类型检查 ✅ 已修复\n\n> 状态：已在 commit `be75d87 chore: add TypeScript check` 修复（写本报告之后）。`tsconfig.json` 已就绪、`check` 已改为 `tsc --noEmit && bun test`。\n\n原文（保留作为背景）：`package.json` 中 `check` 当前只是 `bun test`，没有 `tsc --noEmit`。Bun 可以执行 TypeScript，但不等于有完整类型检查。\n\n当前类型已经开始变复杂，例如：\n\n- `matchSeq: number | null`\n- `matchSource: \"message\" | \"session\"`\n- `FindMatchRole`\n\n建议补：\n\n- `tsconfig.json`\n- `bunx tsc --noEmit`\n- 把 `check` 改成 `tsc --noEmit && bun test`\n\n### P0-2：DB 连接在异常路径上可能泄漏\n\n部分 query 函数当前是：\n\n```ts\nconst db = openReadDb(dbPath);\nconst session = getSessionRecord(db, sessionUuid);\nif (!session) throw new Error(...);\ndb.close();\n```\n\n如果中间 throw，`db.close()` 不会执行。\n\n建议把 query 层所有 open/close 统一改成：\n\n```ts\nconst db = openReadDb(dbPath);\ntry {\n // work\n} finally {\n db.close();\n}\n```\n\n`getCurrentSessions()` 已经采用这种结构，其他函数应对齐。\n\n### P0-3：sync lock stale 清理存在竞争窗口\n\n当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。\n\n建议删除前重新读取并比对 `pid + createdAt`，只删除自己刚判断过的那份 lock。\n\n另外，损坏的 lock file 当前会被解析为 `null`，然后等到 timeout 报 unknown owner。可以增加基于 mtime 的过期清理或更明确的错误信息。\n\n### P0-4：`current` 命令对 Codex state DB schema 假设偏硬\n\n`current` 直接依赖 `threads` 表和字段：\n\n- `id`\n- `rollout_path`\n- `cwd`\n- `title`\n- `updated_at_ms`\n\n这对当前本机可用，但作为开源 CLI，Codex state DB schema 可能变化。建议：\n\n- 先检查 table/columns 是否存在。\n- schema 不匹配时输出友好错误。\n- `--json` 模式返回结构化 error，而不是 SQLite 原始异常。\n\n## 次级问题\n\n### P1-1：ranking 逻辑开始堆 magic constants\n\n当前 ranking 使用多组启发式权重，例如 title phrase、title term、cwd term、message bump、user bump、session hit、hit count、recency 等。\n\n这对轻量 retrieval CLI 是合理的，但继续堆会变难调。下一步不建议继续盲目加权重，应优先补 manual eval acceptance gate。\n\n### P1-2：mixed match 展示策略需要专门测试\n\n当前展示行优先选择 message hit，避免用户拿到 `matchSeq = null` 后无法 `read-range`。这是合理产品取舍，但可能掩盖真正强的 session-level 命中。\n\n建议增加 mixed case 测试：同一个 session 里同时有强 session-level hit 和弱 message hit 时，确认展示策略符合预期。\n\n### P1-3：缺少真实大库性能基准\n\n现有单元测试较好，但还缺：\n\n- 几千 session 下的 sync/find p95\n- 大型 `sessions_fts` 的 query 噪音评估\n- real-world manual eval regression gate\n\n## 建议优先级\n\n### P0：发前必须做\n\n1. 补 `tsc --noEmit`。\n2. query 层所有 DB open 改成 `try/finally close`。\n3. 修 sync lock 删除 stale lock 的 race。\n4. 对 `current` 做 state DB schema 检查和友好错误。\n\n### P1：增强可信度\n\n1. 把 session-level recall 的 mixed cases 加进 eval。\n2. 给 ranking magic constants 写一页短说明，避免后续 agent 乱调。\n3. 跑一次真实库 smoke：`sync -> stats -> find -> read-range/read-page`。\n4. 把当前大工作区改动拆成 focused commits。\n\n### P2：长期演进\n\n1. eval 从人工报告升级为 regression gate。\n2. 再考虑 duplicate collapse / diversity control。\n3. 再考虑真正 resource-level reranker。\n\n## 结语\n\n`cxs` 当前已经不是玩具脚本，结构、测试和文档同步意识都比较像一个正经小型 CLI。下一阶段最值得投入的是类型检查、异常路径资源释放、lock race 和 state DB schema 防御，而不是继续堆检索权重。\n","structuredPatch":[{"oldStart":129,"oldLines":10,"newStart":129,"newLines":14,"lines":[" "," `getCurrentSessions()` 已经采用这种结构，其他函数应对齐。"," ","-### P0-3：sync lock stale 清理存在竞争窗口","+### P0-3：sync lock stale 清理存在竞争窗口 ⚠️ best-effort mitigation"," ","-当前逻辑遇到已有 lock 后会读 lock info，判断 pid 不存在就删除 lock 文件。这里有一个竞态：读到 stale lock 之后、删除之前，另一个进程可能已经创建了新 lock；当前进程可能误删别人的新 lock。","+> 状态：已在 commit `187c5d9` 部分缓解 — 引入 `tryRemoveStaleLock` 在删除前二次比对 `pid + createdAt`。但这是 best-effort,**不是原子 TOCTOU 修复**：在二次读取与 path-based `rmSync` 之间仍有残余 race 窗口,另一个进程可能在该窗口内删除并替换 lock,导致当前进程仍可能 `rmSync` 别人的新 lock。Node/Bun 无 inode-pinned unlink,要做真正原子需引入 OS-level flock(native bindings)。","+>","+> 工程决策：cxs 的 sync 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的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。\n\n每个权重都需要在三个层次的相对量级里活下去：\n\n1. **bm25 row-level 分数**(从 `query.ts:289` 或 `messages_fts` 的 `bm25(...)` 来)。被 `-row.score` 翻成正向后，单行通常落在 `2 ~ 15`。\n2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n\n“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n\n---\n\n## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`\n\n位置: [query.ts:289](/Users/envvar/work/repos/cxs/query.ts)。\n\n`sessions_fts` 的索引列顺序固定为 `(title, summary_text, compact_text, reasoning_summary_text, session_uuid)`,`session_uuid` 是 UNINDEXED,所以 bm25 的四个权重对应前四列。SQLite FTS5 的 bm25 输出是 *负数*,**值越小越好**;权重越大表示该列匹配应该被放大。\n\n| 列 | 权重 | 角色 |\n|---|---|---|\n| `title` | 8.0 | 高浓度信号:标题是人写/生成的概括,几乎没噪声 |\n| `summary_text` | 3.0 | session 摘要,信息密度中等,长度也中等 |\n| `compact_text` | 4.0 | compact handoff 文本,通常比 summary 更覆盖原文术语 |\n| `reasoning_summary_text` | 1.2 | reasoning summary,噪声最大、最容易泛匹配 |\n\n**为什么是这个量级**:\n\n- title 与其他列拉开 ~2x,是希望 *标题恰好命中* 的 session 不需要 row-level signal 也能进入候选集。session-level 还有一个独立的 `titlePhrase=30` 在更高层面再加,所以这里 8.0 不是终值,只是把 title hit 推到 `sessions_fts` 候选的前列。\n- compact > summary 是经验:compact handoff 倾向于完整保留代码/路径/工具名,搜“某个具体函数名”时它的命中含金量更高。\n- reasoning summary 给到 1.2 是因为它最长、最易抢分,如果给 4.0 会让“agent 在思考里随口提过的词”压过真正的内容命中。\n\n**改动它会影响什么**:\n\n- 整体放大(比如全乘 2)不改变 row 间相对顺序,只把 session 路径的 row 在 row-level signal 加完后压制 `messages_fts` 路径。**几乎没意义,不建议**。\n- 单独抬高 reasoning_summary 是高风险动作:reasoning 文本里高频出现 \"user said\", \"the code does\",会把 session 推到全局头部又没真信息。改之前必须有 P1-2 mixed match 对照测试做回归。\n- 单独抬高 title 收益小、风险也小,但要记得 `scoreSession` 那一层已经有 `titlePhrase=30 / titleTermHits×10`,改这里等于双重计入,改一处就好。\n\n---\n\n## scoreRow: 单 row 信号\n\n位置: [ranking.ts:166-178](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nnormalizedBm25\n + (contentPhrase ? 8 : 0)\n + termCoverage * 2\n + (matchSource === \"message\" ? 4 : 0)\n + (matchRole === \"user\" ? 2 : 0)\n```\n\n四项的设计意图是:**bm25 + 三个 token-free 的硬证据**。bm25 处理“词义相关性”,这三项处理 bm25 看不到的元信息。\n\n### `contentPhrase ? 8 : 0`\n\n整条 normalizedQuery(已 trim+lower)作为子串出现在 row 文本里时加 8。\n\n- 量级取舍:8 大致等于一条“标题级”单列 bm25。意思是“整词组完整命中” ≈ “标题里出现过这个词”,这是一个故意做高的赌注,因为 bm25 在 token 切分后看不到“两个词必须挨着”这种用户意图。\n- 改高(>=12):对引号式查询会更准,但中文长 query 会几乎自动满分,失去区分度。\n- 改低(<=4):多 token 查询会被 bm25 单词命中淹没,“`hash collision`” 这种短语和 “`hash` 在 X、`collision` 在 Y”同分。改低之前先做 P1-2 mixed match 对照测试。\n\n### `termCoverage * 2`\n\n`countMatchedTerms(content, terms)`,即 query 里多少个 token 在这一行出现过。\n\n- 量级取舍:每个 token 加 2,3-token query 满覆盖 = 6,差不多和 user-bump+message-bump 加起来一个量级,保证“覆盖更全的行”能压过“偶然命中一个高频词的行”,但不至于盖住 contentPhrase 的 8。\n- 改高(>=4):短 query 没影响,长 query 会让“凑齐了所有词但散得很开的长行”赢,这通常不是搜索者想要的——bm25 已经在做这件事了,这一项是“补强”不是“主信号”。\n- 改低(<=1):多 token query 的覆盖度退化为可有可无,大概率出现“两词都命中但只命中一次的行 < 一词命中三次的行”这种反直觉结果。\n\n### `matchSource === \"message\" ? 4 : 0`\n\nsession-level 召回(来自 `sessions_fts`)拿不到这 4 分,只有 `messages_fts` / LIKE 路径来的 row 才有。\n\n- 量级取舍:4 表示“可回读的真实消息证据”比“只在 session 元数据里命中”值多大约半个 contentPhrase。这是一个产品价值判断:用户能 `read-range` 进去看到原文的命中,价值远高于只在 summary 里出现的命中。\n- 改高(>=8):会让 session-level 命中几乎永远沉底,尤其是“title 完全命中但没有 message 命中”的 session 会被压到看不见,跟 `scoreSession.titlePhrase=30` 的初衷打架。\n- 改低或去掉:read-range 体验劣化——用户 `cxs find` 看到结果,点进去 read-range 经常发现没有可定位的消息,要被迫去 read-page。\n\n### `matchRole === \"user\" ? 2 : 0`\n\nuser-authored content 比 agent 输出多 2 分。\n\n- 量级取舍:2 是几个权重里最小的,因为这是一个“轻偏好”而不是“强信号”。前提假设:用户搜索时心里想的更多是“我之前说过什么”而不是“agent 答了什么”。但 agent 答案里也常含有用户问的同样的词,所以不能给太高,否则 user 复述一次就压掉 agent 的完整答复段。\n- 改高(>=4):适合 “主要回忆自己问过什么” 的人;副作用是 agent 总结性的命中(常常正是用户要找的)被压低。\n- 改低(=0):退化为不区分 role,适合“两边都重要”的工作流。\n\n---\n\n## scoreSession: session 级补强\n\n位置: [ranking.ts:186-197](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nbestRowSignalScore\n + (titlePhrase ? 30 : 0)\n + titleTermHits * 10\n + cwdTermHits * 18\n + min(userHitCount, 3) * 4\n + min(sessionHitCount, 2) * 2\n + min(hitCount, 6) * 1.5\n + recencyBonus\n```\n\n这一层的目的:**让“证据稍弱但 session 整体强相关”的 session 也能赢**。bestRowSignalScore 是 `scoreRow` 出来的最大值,后面所有项是“session 才能看到的信号”。\n\n### `titlePhrase ? 30 : 0`\n\n整条 normalizedQuery 作为子串出现在 title 里加 30。\n\n- 量级取舍:30 是全文档最大的单项 bonus,故意做高。bm25 + scoreRow 满分大约 25-30,这一项一旦命中就足以让一个 row-level 弱命中的 session 进前列。\n- 直觉:用户搜的词如果完整出现在 session 标题里,几乎可以肯定是同一件事,任何 row 级证据都不必再压它。\n- 改高(>=50):很少会让结果更好,反而让“标题恰好包含但内容已不相关”的旧 session 浮起来。\n- 改低(<=15):title-only 命中失去优先级,搜索短语类 query 时退化明显。\n\n### `titleTermHits * 10`\n\ntoken 维度的 title 命中,每命中一个 query token 加 10。\n\n- 量级取舍:乘 10 让 “3-token 全命中标题” = 30,与 phrase 命中持平。即“词都在标题里、只是顺序对不上”可以达到 phrase 的水平。\n- 改高(>=15):多 token query 里只要有几个词出现在标题就压顶,即使语义未必相关——容易被高频词带偏。\n- 改低(<=4):短 phrase 更倾向 phrase 命中而不是 token 命中,中文 query bigram 切分后 token 多、容易因为打折而退化。\n\n### `cwdTermHits * 18`\n\n每命中一个 query token 在 session 的 `cwd` 中,加 18。\n\n- 量级取舍:18 比 titleTermHits×10 更大,这是因为 cwd 的“噪声密度”远低于 title——title 是自然语言、可能和 query 同词不同意,而 cwd 是文件路径,query token 命中 cwd 几乎一定意味着用户当时在那个仓库/目录。\n- 比 titlePhrase=30 略低,但单 token 命中就给 18,意味着“在某个 repo 名里出现过的 query token” = 半个 phrase 命中,这是给“按项目找”的工作流量身定的。\n- 改高:几乎所有 query 都会被 cwd 主导,严重的话两条同 repo 的不相关 session 比一条跨 repo 的精准命中还高,这是错的。\n- 改低或去掉:跨仓库使用 cxs 找“在哪个项目里讨论过 X”体验会变差,这是当前 cxs 的核心使用场景之一。\n\n### `min(userHitCount, 3) * 4`\n\nsession 里 user-role 的 row 命中数,先 clamp 到 3,再乘 4(满分 12)。\n\n- clamp=3 的意义:防止“用户在同一 session 里反复提同一个词”就把这个 session 推到顶。3 次 user 命中以上视为饱和——再多没有更多信息量。\n- 量级取舍:满分 12 大致 = bm25 一行的中等命中,不会压过 title 信号但能在两条 row-level 旗鼓相当时做 tiebreak。\n- 改高 clamp(>=5):适合“用户经常多轮 follow-up”的工作流,但要警惕日志里的复读机式 session 抢顶。\n- 改高乘数(>=6):4*5=20 接近 cwd 量级,会让“只是用户提到过几次”的 session 升得太高。\n\n### `min(sessionHitCount, 2) * 2`\n\nsession-level row(`matchSource === 'session'`)的命中条数, clamp 到 2,乘 2(满分 4)。\n\n- 为什么这么小:session-level 命中本身已经在 `bm25(sessions_fts, ...)` 里被打过分,scoreSession 里再算一次只是保证“title + summary + compact 多列同时命中”能比“只命中其中一列”略好。\n- clamp=2 的意义:`sessions_fts` 一个 session 最多产 1 行(去重过),实际能到 2 的情况很少;clamp 在 2 是为了未来如果路径里产生多 session-level row 时的封顶。\n- 改这个权重的收益很低,通常不要动它,先看 SQL 列权重那一节。\n\n### `min(hitCount, 6) * 1.5`\n\nsession 内总命中行数,clamp 到 6,乘 1.5(满分 9)。\n\n- clamp=6 的意义:总命中行数饱和点。一个 session 里 6 条以上 row 命中,几乎可以肯定是相关的;再多反而可能是噪声(冗长 session 沾边了几个高频词)。\n- 1.5 是“最弱信号”的乘数:命中数本身已经被 bm25 / scoreRow 算过,这里只是“量上的小补强”。\n- 改高 clamp(>=10):长 session 永远比短 session 优势大,惩罚“一次精准命中的短 session”。clamp 在 6 是为了把“质”和“量”的权衡偏向质。\n- 改低乘数(<=0.5):没什么副作用,但也没什么收益,不建议动。\n\n---\n\n## recencyDecay: 时间衰减\n\n位置: [ranking.ts:205-210](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nmax(0, 18 - days_since_ended * 0.15)\n```\n\n| 参数 | 值 | 含义 |\n|---|---|---|\n| 起始 bonus | 18 | 当 `endedAt = now` 时的最大加分 |\n| 每日衰减 | 0.15 | 每过 1 天减 0.15 |\n| 截断窗口 | 120 天 | `18 / 0.15 = 120`,超过后归零 |\n\n**18 的量级取舍**:\n\n- 18 设计成“接近 cwd 单 token 命中(也是 18)”但仍小于 `titlePhrase=30`。意思是:今天的 session 即使没有 cwd/title 命中,也大约相当于一次 cwd 命中的优先级——但永远不超过明确语义命中。\n- 这是反“最近就是最相关”的:cxs 的搜索更偏召回历史而不是 timeline 浏览,所以 recency 不能压过内容信号。\n\n**0.15/day 的量级取舍**:\n\n- 一周衰减 ~1 分,一个月 ~4.5 分。意味着“最近一周内的差异基本可忽略”,但 1 个月外开始让位给真正的内容命中。\n- 这条是经验取值,代表“记忆里‘最近’的边界”大概是几周不是几天。\n\n**120 天截断的含义**:\n\n- 4 个月之外的 session,recency 完全不参与排序,纯靠内容信号。这是一个有意为之的“记忆边界”——如果你在搜半年前的事情,recency 不应该再帮倒忙地把无关的近期 session 推上来。\n- 改窗口的影响:窗口越长,timeline 偏好越长尾;窗口越短,排序在窗口之外彻底变成内容驱动。120 天是个折衷,不建议轻易动。\n\n**改动它会影响什么**:\n\n- 抬高 18 → recency 接近内容信号,适合“几乎只搜最近”的人,但会让 cxs 退化成时间倒序 + 内容过滤。\n- 抬高 0.15 → 旧 session 更快沉底,适合搜短期记忆;副作用是“两个月前那次配置”这类长跨度回忆变难。\n- 把整个函数换成指数衰减:技术上可行,但目前没有数据支持指数比线性更好,而且会损失这套权重和别的常量之间清晰的“几分等于一次命中”的对应关系。\n\n---\n\n## shouldUseDisplayRow: message 优先于 session\n\n位置: [ranking.ts:148-157](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```ts\nif (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\nif (candidate.matchSource !== current.matchSource) return false;\nreturn candidateScore > currentScore;\n```\n\n这不是一个数字权重,而是一个**硬规则**:对 *显示用* 的 best row,**只要候选是 `message` 而当前不是,立刻替换,不比较分数**。\n\n**为什么这样选**:\n\n- `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。\n- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。\n- 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。\n\n**改动它会影响什么**:\n\n- 如果改成“按分数走”:列表里 snippet 更可能反映“为什么排第一”(因为常常是 title 命中导致它进了前列);代价是用户点进去发现 read-range 没法直接定位,UX 退步。\n- 如果反过来 `session > message` 优先:对短查询友好(会显示标题命中),对长查询/具体问题查询灾难,因为用户其实最想看到他/agent 的原话。\n- 当前选择是经过权衡的:**ranking 用全部信号,展示偏向 read-range 友好**。如果将来引入独立的 “preview” 系统(比如每个 session 给一段 LLM 生成的命中解释),这条规则可以放松,但现在不要改。\n\n---\n\n## 调权 checklist\n\n在动任何一个数字之前,先问自己:\n\n1. 这个改动属于 SQL 列权重 / row signal / session signal / recency 哪一层?\n2. 它和同一层的其他常量有没有量级冲突?(例如改 `titlePhrase` 必须和 `titleTermHits` 一起看,因为 3-token 全命中标题的总分是 `30 + 30`)\n3. 它和其他层的常量有没有量级冲突?(例如 `cwdTermHits=18` 和 `recency 起始=18` 是故意持平的)\n4. 有没有 P1-2 mixed match 对照测试做回归?contentPhrase / SQL 列权重这种改动尤其需要。\n5. 改动是为了一个具体的搜索 case 还是一个 *分类* 的搜索 case?为单 case 调权基本一定会让平均体验变差,先确认这是一个 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直接断了直接重锚链路,被迫回退 `cxs read-page` 翻全 session。","originalFile":"# cxs ranking 权重说明\n\n本文是 [ranking.ts](../ranking.ts) 与 [query.ts](../query.ts) 中所有 magic constant 的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。\n\n每个权重都需要在三个层次的相对量级里活下去：\n\n1. **bm25 row-level 分数**(从 `query.ts:289` 或 `messages_fts` 的 `bm25(...)` 来)。被 `-row.score` 翻成正向后，单行通常落在 `2 ~ 15`。\n2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n\n“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n\n---\n\n## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`\n\n位置: [query.ts:289](/Users/envvar/work/repos/cxs/query.ts)。\n\n`sessions_fts` 的索引列顺序固定为 `(title, summary_text, compact_text, reasoning_summary_text, session_uuid)`,`session_uuid` 是 UNINDEXED,所以 bm25 的四个权重对应前四列。SQLite FTS5 的 bm25 输出是 *负数*,**值越小越好**;权重越大表示该列匹配应该被放大。\n\n| 列 | 权重 | 角色 |\n|---|---|---|\n| `title` | 8.0 | 高浓度信号:标题是人写/生成的概括,几乎没噪声 |\n| `summary_text` | 3.0 | session 摘要,信息密度中等,长度也中等 |\n| `compact_text` | 4.0 | compact handoff 文本,通常比 summary 更覆盖原文术语 |\n| `reasoning_summary_text` | 1.2 | reasoning summary,噪声最大、最容易泛匹配 |\n\n**为什么是这个量级**:\n\n- title 与其他列拉开 ~2x,是希望 *标题恰好命中* 的 session 不需要 row-level signal 也能进入候选集。session-level 还有一个独立的 `titlePhrase=30` 在更高层面再加,所以这里 8.0 不是终值,只是把 title hit 推到 `sessions_fts` 候选的前列。\n- compact > summary 是经验:compact handoff 倾向于完整保留代码/路径/工具名,搜“某个具体函数名”时它的命中含金量更高。\n- reasoning summary 给到 1.2 是因为它最长、最易抢分,如果给 4.0 会让“agent 在思考里随口提过的词”压过真正的内容命中。\n\n**改动它会影响什么**:\n\n- 整体放大(比如全乘 2)不改变 row 间相对顺序,只把 session 路径的 row 在 row-level signal 加完后压制 `messages_fts` 路径。**几乎没意义,不建议**。\n- 单独抬高 reasoning_summary 是高风险动作:reasoning 文本里高频出现 \"user said\", \"the code does\",会把 session 推到全局头部又没真信息。改之前必须有 P1-2 mixed match 对照测试做回归。\n- 单独抬高 title 收益小、风险也小,但要记得 `scoreSession` 那一层已经有 `titlePhrase=30 / titleTermHits×10`,改这里等于双重计入,改一处就好。\n\n---\n\n## scoreRow: 单 row 信号\n\n位置: [ranking.ts:166-178](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nnormalizedBm25\n + (contentPhrase ? 8 : 0)\n + termCoverage * 2\n + (matchSource === \"message\" ? 4 : 0)\n + (matchRole === \"user\" ? 2 : 0)\n```\n\n四项的设计意图是:**bm25 + 三个 token-free 的硬证据**。bm25 处理“词义相关性”,这三项处理 bm25 看不到的元信息。\n\n### `contentPhrase ? 8 : 0`\n\n整条 normalizedQuery(已 trim+lower)作为子串出现在 row 文本里时加 8。\n\n- 量级取舍:8 大致等于一条“标题级”单列 bm25。意思是“整词组完整命中” ≈ “标题里出现过这个词”,这是一个故意做高的赌注,因为 bm25 在 token 切分后看不到“两个词必须挨着”这种用户意图。\n- 改高(>=12):对引号式查询会更准,但中文长 query 会几乎自动满分,失去区分度。\n- 改低(<=4):多 token 查询会被 bm25 单词命中淹没,“`hash collision`” 这种短语和 “`hash` 在 X、`collision` 在 Y”同分。改低之前先做 P1-2 mixed match 对照测试。\n\n### `termCoverage * 2`\n\n`countMatchedTerms(content, terms)`,即 query 里多少个 token 在这一行出现过。\n\n- 量级取舍:每个 token 加 2,3-token query 满覆盖 = 6,差不多和 user-bump+message-bump 加起来一个量级,保证“覆盖更全的行”能压过“偶然命中一个高频词的行”,但不至于盖住 contentPhrase 的 8。\n- 改高(>=4):短 query 没影响,长 query 会让“凑齐了所有词但散得很开的长行”赢,这通常不是搜索者想要的——bm25 已经在做这件事了,这一项是“补强”不是“主信号”。\n- 改低(<=1):多 token query 的覆盖度退化为可有可无,大概率出现“两词都命中但只命中一次的行 < 一词命中三次的行”这种反直觉结果。\n\n### `matchSource === \"message\" ? 4 : 0`\n\nsession-level 召回(来自 `sessions_fts`)拿不到这 4 分,只有 `messages_fts` / LIKE 路径来的 row 才有。\n\n- 量级取舍:4 表示“可回读的真实消息证据”比“只在 session 元数据里命中”值多大约半个 contentPhrase。这是一个产品价值判断:用户能 `read-range` 进去看到原文的命中,价值远高于只在 summary 里出现的命中。\n- 改高(>=8):会让 session-level 命中几乎永远沉底,尤其是“title 完全命中但没有 message 命中”的 session 会被压到看不见,跟 `scoreSession.titlePhrase=30` 的初衷打架。\n- 改低或去掉:read-range 体验劣化——用户 `cxs find` 看到结果,点进去 read-range 经常发现没有可定位的消息,要被迫去 read-page。\n\n### `matchRole === \"user\" ? 2 : 0`\n\nuser-authored content 比 agent 输出多 2 分。\n\n- 量级取舍:2 是几个权重里最小的,因为这是一个“轻偏好”而不是“强信号”。前提假设:用户搜索时心里想的更多是“我之前说过什么”而不是“agent 答了什么”。但 agent 答案里也常含有用户问的同样的词,所以不能给太高,否则 user 复述一次就压掉 agent 的完整答复段。\n- 改高(>=4):适合 “主要回忆自己问过什么” 的人;副作用是 agent 总结性的命中(常常正是用户要找的)被压低。\n- 改低(=0):退化为不区分 role,适合“两边都重要”的工作流。\n\n---\n\n## scoreSession: session 级补强\n\n位置: [ranking.ts:186-197](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nbestRowSignalScore\n + (titlePhrase ? 30 : 0)\n + titleTermHits * 10\n + cwdTermHits * 18\n + min(userHitCount, 3) * 4\n + min(sessionHitCount, 2) * 2\n + min(hitCount, 6) * 1.5\n + recencyBonus\n```\n\n这一层的目的:**让“证据稍弱但 session 整体强相关”的 session 也能赢**。bestRowSignalScore 是 `scoreRow` 出来的最大值,后面所有项是“session 才能看到的信号”。\n\n### `titlePhrase ? 30 : 0`\n\n整条 normalizedQuery 作为子串出现在 title 里加 30。\n\n- 量级取舍:30 是全文档最大的单项 bonus,故意做高。bm25 + scoreRow 满分大约 25-30,这一项一旦命中就足以让一个 row-level 弱命中的 session 进前列。\n- 直觉:用户搜的词如果完整出现在 session 标题里,几乎可以肯定是同一件事,任何 row 级证据都不必再压它。\n- 改高(>=50):很少会让结果更好,反而让“标题恰好包含但内容已不相关”的旧 session 浮起来。\n- 改低(<=15):title-only 命中失去优先级,搜索短语类 query 时退化明显。\n\n### `titleTermHits * 10`\n\ntoken 维度的 title 命中,每命中一个 query token 加 10。\n\n- 量级取舍:乘 10 让 “3-token 全命中标题” = 30,与 phrase 命中持平。即“词都在标题里、只是顺序对不上”可以达到 phrase 的水平。\n- 改高(>=15):多 token query 里只要有几个词出现在标题就压顶,即使语义未必相关——容易被高频词带偏。\n- 改低(<=4):短 phrase 更倾向 phrase 命中而不是 token 命中,中文 query bigram 切分后 token 多、容易因为打折而退化。\n\n### `cwdTermHits * 18`\n\n每命中一个 query token 在 session 的 `cwd` 中,加 18。\n\n- 量级取舍:18 比 titleTermHits×10 更大,这是因为 cwd 的“噪声密度”远低于 title——title 是自然语言、可能和 query 同词不同意,而 cwd 是文件路径,query token 命中 cwd 几乎一定意味着用户当时在那个仓库/目录。\n- 比 titlePhrase=30 略低,但单 token 命中就给 18,意味着“在某个 repo 名里出现过的 query token” = 半个 phrase 命中,这是给“按项目找”的工作流量身定的。\n- 改高:几乎所有 query 都会被 cwd 主导,严重的话两条同 repo 的不相关 session 比一条跨 repo 的精准命中还高,这是错的。\n- 改低或去掉:跨仓库使用 cxs 找“在哪个项目里讨论过 X”体验会变差,这是当前 cxs 的核心使用场景之一。\n\n### `min(userHitCount, 3) * 4`\n\nsession 里 user-role 的 row 命中数,先 clamp 到 3,再乘 4(满分 12)。\n\n- clamp=3 的意义:防止“用户在同一 session 里反复提同一个词”就把这个 session 推到顶。3 次 user 命中以上视为饱和——再多没有更多信息量。\n- 量级取舍:满分 12 大致 = bm25 一行的中等命中,不会压过 title 信号但能在两条 row-level 旗鼓相当时做 tiebreak。\n- 改高 clamp(>=5):适合“用户经常多轮 follow-up”的工作流,但要警惕日志里的复读机式 session 抢顶。\n- 改高乘数(>=6):4*5=20 接近 cwd 量级,会让“只是用户提到过几次”的 session 升得太高。\n\n### `min(sessionHitCount, 2) * 2`\n\nsession-level row(`matchSource === 'session'`)的命中条数, clamp 到 2,乘 2(满分 4)。\n\n- 为什么这么小:session-level 命中本身已经在 `bm25(sessions_fts, ...)` 里被打过分,scoreSession 里再算一次只是保证“title + summary + compact 多列同时命中”能比“只命中其中一列”略好。\n- clamp=2 的意义:`sessions_fts` 一个 session 最多产 1 行(去重过),实际能到 2 的情况很少;clamp 在 2 是为了未来如果路径里产生多 session-level row 时的封顶。\n- 改这个权重的收益很低,通常不要动它,先看 SQL 列权重那一节。\n\n### `min(hitCount, 6) * 1.5`\n\nsession 内总命中行数,clamp 到 6,乘 1.5(满分 9)。\n\n- clamp=6 的意义:总命中行数饱和点。一个 session 里 6 条以上 row 命中,几乎可以肯定是相关的;再多反而可能是噪声(冗长 session 沾边了几个高频词)。\n- 1.5 是“最弱信号”的乘数:命中数本身已经被 bm25 / scoreRow 算过,这里只是“量上的小补强”。\n- 改高 clamp(>=10):长 session 永远比短 session 优势大,惩罚“一次精准命中的短 session”。clamp 在 6 是为了把“质”和“量”的权衡偏向质。\n- 改低乘数(<=0.5):没什么副作用,但也没什么收益,不建议动。\n\n---\n\n## recencyDecay: 时间衰减\n\n位置: [ranking.ts:205-210](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```\nmax(0, 18 - days_since_ended * 0.15)\n```\n\n| 参数 | 值 | 含义 |\n|---|---|---|\n| 起始 bonus | 18 | 当 `endedAt = now` 时的最大加分 |\n| 每日衰减 | 0.15 | 每过 1 天减 0.15 |\n| 截断窗口 | 120 天 | `18 / 0.15 = 120`,超过后归零 |\n\n**18 的量级取舍**:\n\n- 18 设计成“接近 cwd 单 token 命中(也是 18)”但仍小于 `titlePhrase=30`。意思是:今天的 session 即使没有 cwd/title 命中,也大约相当于一次 cwd 命中的优先级——但永远不超过明确语义命中。\n- 这是反“最近就是最相关”的:cxs 的搜索更偏召回历史而不是 timeline 浏览,所以 recency 不能压过内容信号。\n\n**0.15/day 的量级取舍**:\n\n- 一周衰减 ~1 分,一个月 ~4.5 分。意味着“最近一周内的差异基本可忽略”,但 1 个月外开始让位给真正的内容命中。\n- 这条是经验取值,代表“记忆里‘最近’的边界”大概是几周不是几天。\n\n**120 天截断的含义**:\n\n- 4 个月之外的 session,recency 完全不参与排序,纯靠内容信号。这是一个有意为之的“记忆边界”——如果你在搜半年前的事情,recency 不应该再帮倒忙地把无关的近期 session 推上来。\n- 改窗口的影响:窗口越长,timeline 偏好越长尾;窗口越短,排序在窗口之外彻底变成内容驱动。120 天是个折衷,不建议轻易动。\n\n**改动它会影响什么**:\n\n- 抬高 18 → recency 接近内容信号,适合“几乎只搜最近”的人,但会让 cxs 退化成时间倒序 + 内容过滤。\n- 抬高 0.15 → 旧 session 更快沉底,适合搜短期记忆;副作用是“两个月前那次配置”这类长跨度回忆变难。\n- 把整个函数换成指数衰减:技术上可行,但目前没有数据支持指数比线性更好,而且会损失这套权重和别的常量之间清晰的“几分等于一次命中”的对应关系。\n\n---\n\n## shouldUseDisplayRow: message 优先于 session\n\n位置: [ranking.ts:148-157](/Users/envvar/work/repos/cxs/ranking.ts)。\n\n```ts\nif (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\nif (candidate.matchSource !== current.matchSource) return false;\nreturn candidateScore > currentScore;\n```\n\n这不是一个数字权重,而是一个**硬规则**:对 *显示用* 的 best row,**只要候选是 `message` 而当前不是,立刻替换,不比较分数**。\n\n**为什么这样选**:\n\n- `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。\n- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。\n- 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。\n\n**改动它会影响什么**:\n\n- 如果改成“按分数走”:列表里 snippet 更可能反映“为什么排第一”(因为常常是 title 命中导致它进了前列);代价是用户点进去发现 read-range 没法直接定位,UX 退步。\n- 如果反过来 `session > message` 优先:对短查询友好(会显示标题命中),对长查询/具体问题查询灾难,因为用户其实最想看到他/agent 的原话。\n- 当前选择是经过权衡的:**ranking 用全部信号,展示偏向 read-range 友好**。如果将来引入独立的 “preview” 系统(比如每个 session 给一段 LLM 生成的命中解释),这条规则可以放松,但现在不要改。\n\n---\n\n## 调权 checklist\n\n在动任何一个数字之前,先问自己:\n\n1. 这个改动属于 SQL 列权重 / row signal / session signal / recency 哪一层?\n2. 它和同一层的其他常量有没有量级冲突?(例如改 `titlePhrase` 必须和 `titleTermHits` 一起看,因为 3-token 全命中标题的总分是 `30 + 30`)\n3. 它和其他层的常量有没有量级冲突?(例如 `cwdTermHits=18` 和 `recency 起始=18` 是故意持平的)\n4. 有没有 P1-2 mixed match 对照测试做回归?contentPhrase / SQL 列权重这种改动尤其需要。\n5. 改动是为了一个具体的搜索 case 还是一个 *分类* 的搜索 case?为单 case 调权基本一定会让平均体验变差,先确认这是一个 pattern。\n\n如果这五条里有一条答不上来,**不要改**。\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":[" **为什么这样选**:"," "," - `bestRow` 决定 ranking,`bestDisplayRow` 决定用户在 `cxs find` 列表里看到的 snippet/seq/role/timestamp。两个故意拆开。","-- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,然后 `cxs read-range <uuid> --start 0` 时找不到锚点,被迫回退 read-page。","+- 一个 session 可能同时有 `messages_fts` row(score 偏低,但来自真实消息)和 `sessions_fts` row(score 偏高,但只命中标题/摘要)。如果 display 跟着分数走,用户会看到 `matchSeq=null` + 一个 session-level snippet,而 `cxs read-range <uuid>` 必须显式带 `--seq` 或 `--query` 才能锚定,空 `matchSeq` 直接断了直接重锚链路,被迫回退 `cxs read-page` 翻全 session。"," - 显示层的真正决策是 **read-range 可用性**:有 anchor 的 row(message)永远优先,即便 session-level row 分数更高。"," "," 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{"parentUuid":"e3922f39-88d5-4b24-b2ee-81ed2b2ae08e","isSidechain":false,"attachment":{"type":"edited_text_file","filename":"/Users/envvar/work/repos/cxs/docs/RANKING_WEIGHTS.md","snippet":"1\t# cxs ranking 权重说明\n2\t\n3\t本文是 [ranking.ts](../ranking.ts) 与 [query.ts](../query.ts) 中所有 magic constant 的“为什么是这个值”说明，受众是未来要调权重的维护者(人或 agent)。\n4\t\n5\t每个权重都需要在三个层次的相对量级里活下去：\n6\t\n7\t1. **bm25 row-level 分数**(从 `query.ts:289` 或 `messages_fts` 的 `bm25(...)` 来)。被 `-row.score` 翻成正向后，单行通常落在 `2 ~ 15`。\n8\t2. **row-level signal bonus** (`scoreRow`)。叠加在 bm25 之上,常见区间 `0 ~ 16`。\n9\t3. **session-level metadata bonus** (`scoreSession`)。是一个 session 维度的“补强”加层,常见区间 `0 ~ 80`。\n10\t\n11\t“调权” = 在这三层之间挪动相对优先级。先有这个心智模型,再读下面每个常量。\n12\t\n13\t---\n14\t\n15\t## SQL 列权重: `bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2)`\n16\t\n17\t位置: [query.ts:289](../query.ts)。\n18\t\n19\t`sessions_fts` 的索引列顺序固定为 `(title, summary_text, compact_text, reasoning_summary_text, session_uuid)`,`session_uuid` 是 UNINDEXED,所以 bm25 的四个权重对应前四列。SQLite FTS5 的 bm25 输出是 *负数*,**值越小越好**;权重越大表示该列匹配应该被放大。\n20\t\n21\t| 列 | 权重 | 角色 |\n22\t|---|---|---|\n23\t| `title` | 8.0 | 高浓度信号:标题是人写/生成的概括,几乎没噪声 |\n24\t| `summary_text` | 3.0 | session 摘要,信息密度中等,长度也中等 |\n25\t| `compact_text` | 4.0 | compact handoff 文本,通常比 summary 更覆盖原文术语 |\n26\t| `reasoning_summary_text` | 1.2 | reasoning summary,噪声最大、最容易泛匹配 |\n27\t\n28\t**为什么是这个量级**:\n29\t\n30\t- title 与其他列拉开 ~2x,是希望 *标题恰好命中* 的 session 不需要 row-level signal 也能进入候选集。session-level 还有一个独立的 `titlePhrase=30` 在更高层面再加,所以这里 8.0 不是终值,只是把 title hit 推到 `sessions_fts` 候选的前列。\n31\t- compact > summary 是经验:compact handoff 倾向于完整保留代码/路径/工具名,搜“某个具体函数名”时它的命中含金量更高。\n32\t- reasoning summary 给到 1.2 是因为它最长、最易抢分,如果给 4.0 会让“agent 在思考里随口提过的词”压过真正的内容命中。\n33\t\n34\t**改动它会影响什么**:\n35\t\n36\t- 整体放大(比如全乘 2)不改变 row 间相对顺序,只把 session 路径的 row 在 row-level signal 加完后压制 `messages_fts` 路径。**几乎没意义,不建议**。\n37\t- 单独抬高 reasoning_summary 是高风险动作:reasoning 文本里高频出现 \"user said\", \"the code does\",会把 session 推到全局头部又没真信息。改之前必须有 P1-2 mixed match 对照测试做回归。\n38\t- 单独抬高 title 收益小、风险也小,但要记得 `scoreSession` 那一层已经有 `titlePhrase=30 / titleTermHits×10`,改这里等于双重计入,改一处就好。\n39\t\n40\t---\n41\t\n42\t## scoreRow: 单 row 信号\n43\t\n44\t位置: [ranking.ts:166-178](../ranking.ts)。\n45\t\n46\t```\n47\tnormalizedBm25\n48\t + (contentPhrase ? 8 : 0)\n49\t + termCoverage * 2\n50\t + (matchSource === \"message\" ? 4 : 0)\n51\t + (matchRole === \"user\" ? 2 : 0)\n52\t```\n53\t\n54\t四项的设计意图是:**bm25 + 三个 token-free 的硬证据**。bm25 处理“词义相关性”,这三项处理 bm25 看不到的元信息。\n55\t\n56\t### `contentPhrase ? 8 : 0`\n57\t\n58\t整条 normalizedQuery(已 trim+lower)作为子串出现在 row 文本里时加 8。\n59\t\n60\t- 量级取舍:8 大致等于一条“标题级”单列 bm25。意思是“整词组完整命中” ≈ “标题里出现过这个词”,这是一个故意做高的赌注,因为 bm25 在 token 切分后看不到“两个词必须挨着”这种用户意图。\n61\t- 改高(>=12):对引号式查询会更准,但中文长 query 会几乎自动满分,失去区分度。\n62\t- 改低(<=4):多 token 查询会被 bm25 单词命中淹没,“`hash collision`” 这种短语和 “`hash` 在 X、`collision` 在 Y”同分。改低之前先做 P1-2 mixed match 对照测试。\n63\t\n64\t### `termCoverage * 2`\n65\t\n66\t`countMatchedTerms(content, terms)`,即 query 里多少个 token 在这一行出现过。\n67\t\n68\t- 量级取舍:每个 token 加 2,3-token query 满覆盖 = 6,差不多和 user-bump+message-bump 加起来一个量级,保证“覆盖更全的行”能压过“偶然命中一个高频词的行”,但不至于盖住 contentPhrase 的 8。\n69\t- 改高(>=4):短 query 没影响,长 query 会让“凑齐了所有词但散得很开的长行”赢,这通常不是搜索者想要的——bm25 已经在做这件事了,这一项是“补强”不是“主信号”。\n70\t- 改低(<=1):多 token query 的覆盖度退化为可有可无,大概率出现“两词都命中但只命中一次的行 < 一词命中三次的行”这种反直觉结果。\n71\t\n72\t### `matchSource === \"message\" ? 4 : 0`\n73\t\n74\tsession-level 召回(来自 `sessions_fts`)拿不到这 4 分,只有 `messages_fts` / LIKE 路径来的 row 才有。\n75\t\n76\t- 量级取舍:4 表示“可回读的真实消息证据”比“只在 session 元数据里命中”值多大约半个 contentPhrase。这是一个产品价值判断:用户能 `read-range` 进去看到原文的命中,价值远高于只在 summary 里出现的命中。\n77\t- 改高(>=8):会让 session-level 命中几乎永远沉底,尤其是“title 完全命中但没有 message 命中”的 session 会被压到看不见,跟 `scoreSession.titlePhrase=30` 的初衷打架。\n78\t- 改低或去掉:read-range 体验劣化——用户 `cxs find` 看到结果,点进去 read-range 经常发现没有可定位的消息,要被迫去 read-page。\n79\t\n80\t### `matchRole === \"user\" ? 2 : 0`\n81\t\n82\tuser-authored content 比 agent 输出多 2 分。\n83\t\n84\t- 量级取舍:2 是几个权重里最小的,因为这是一个“轻偏好”而不是“强信号”。前提假设:用户搜索时心里想的更多是“我之前说过什么”而不是“agent 答了什么”。但 agent 答案里也常含有用户问的同样的词,所以不能给太高,否则 user 复述一次就压掉 agent 的完整答复段。\n85\t- 改高(>=4):适合 “主要回忆自己问过什么” 的人;副作用是 agent 总结性的命中(常常正是用户要找的)被压低。\n86\t- 改低(=0):退化为不区分 role,适合“两边都重要”的工作流。\n87\t\n88\t---\n89\t\n90\t## scoreSession: session 级补强\n91\t\n92\t位置: [ranking.ts:186-197](../ranking.ts)。\n93\t\n94\t```\n95\tbestRowSignalScore\n96\t + (titlePhrase ? 30 : 0)\n97\t + titleTermHits * 10\n98\t + cwdTermHits * 18\n99\t + min(userHitCount, 3) * 4\n100\t + min(sessionHitCount, 2) * 2\n101\t + min(hitCount, 6) * 1.5\n102\t + recencyBonus\n103\t```\n104\t\n105\t这一层的目的:**让“证据稍弱但 session 整体强相关”的 session 也能赢**。bestRowSignalScore 是 `scoreRow` 出来的最大值,后面所有项是“session 才能看到的信号”。\n106\t\n107\t### `titlePhrase ? 30 : 0`\n108\t\n109\t整条 normalizedQuery 作为子串出现在 title 里加 30。\n110\t\n111\t- 量级取舍:30 是全文档最大的单项 bonus,故意做高。bm25 + scoreRow 满分大约 25-30,这一项一旦命中就足以让一个 row-level 弱命中的 session 进前列。\n112\t- 直觉:用户搜的词如果完整出现在 session 标题里,几乎可以肯定是同一件事,任何 row 级证据都不必再压它。\n113\t- 改高(>=50):很少会让结果更好,反而让“标题恰好包含但内容已不相关”的旧 session 浮起来。\n114\t- 改低(<=15):title-only 命中失去优先级,搜索短语类 query 时退化明显。\n115\t\n116\t### `titleTermHits * 10`\n117\t\n118\ttoken 维度的 title 命中,每命中一个 query token 加 10。\n119\t\n120\t- 量级取舍:乘 10 让 “3-token 全命中标题” = 30,与 phrase 命中持平。即“词都在标题里、只是顺序对不上”可以达到 phrase 的水平。\n121\t- 改高(>=15):多 token query 里只要有几个词出现在标题就压顶,即使语义未必相关——容易被高频词带偏。\n122\t- 改低(<=4):短 phrase 更倾向 phrase 命中而不是 token 命中,中文 query bigram 切分后 token 多、容易因为打折而退化。\n123\t\n124\t### `cwdTermHits * 18`\n125\t\n126\t每命中一个 query token 在 session 的 `cwd` 中,加 18。\n127\t\n128\t- 量级取舍:18 比 titleTermHits×10 更大,这是因为 cwd 的“噪声密度”远低于 title——title 是自然语言、可能和 query 同词不同意,而 cwd 是文件路径,query token 命中 cwd 几乎一定意味着用户当时在那个仓库/目录。\n129\t- 比 titlePhrase=30 略低,但单 token 命中就给 18,意味着“在某个 repo 名里出现过的 query token” = 半个 phrase 命中,这是给“按项目找”的工作流量身定的。\n130\t- 改高:几乎所有 query 都会被 cwd 主导,严重的话两条同 repo 的不相关 session 比一条跨 repo 的精准命中还高,这是错的。\n131\t- 改低或去掉:跨仓库使用 cxs 找“在哪个项目里讨论过 X”体验会变差,这是当前 cxs 的核心使用场景之一。\n132\t\n133\t### `min(userHitCount, 3) * 4`\n134\t\n135\tsession 里 user-role 的 row 命中数,先 clamp 到 3,再乘 4(满分 12)。\n136\t\n137\t- clamp=3 的意义:防止“用户在同一 session 里反复提同一个词”就把这个 session 推到顶。3 次 user 命中以上视为饱和——再多没有更多信息量。\n138\t- 量级取舍:满分 12 大致 = bm25 一行的中等命中,不会压过 title 信号但能在两条 row-level 旗鼓相当时做 tiebreak。\n139\t- 改高 clamp(>=5):适合“用户经常多轮 follow-up”的工作流,但要警惕日志里的复读机式 session 抢顶。\n140\t- 改高乘数(>=6):4*5=20 接近 cwd 量级,会让“只是用户提到过几次”的 session 升得太高。\n141\t\n142\t### `min(sessionHitCount, 2) * 2`\n143\t\n144\tsession-level row(`matchSource === 'session'`)的命中条数, clamp 到 2,乘 2(满分 4)。\n145\t\n146\t- 为什么这么小:session-level 命中本身已经在 `bm25(sessions_fts, ...)` 里被打过分,scoreSession 里再算一次只是保证“title + summary + compact 多列同时命中”能比“只命中其中一列”略好。\n147\t- clamp=2 的意义:`sessions_fts` 一个 session 最多产 1 行(去重过),实际能到 2 的情况很少;clamp 在 2 是为了未来如果路径里产生多 session-level row 时的封顶。\n148\t- 改这个权重的收益很低,通常不要动它,先看 SQL 列权重那一节。\n149\t\n150\t### `min(hitCount, 6) * 1.5`\n151\t\n152\tsession 内总命中行数,clamp 到 6,乘 1.5(满分 9)。\n153\t\n154\t- clamp=6 的意义:总命中行数饱和点。一个 session 里 6 条以上 row 命中,几乎可以肯定是相关的;再多反而可能是噪声(冗长 session 沾边了几个高频词)。\n155\t- 1.5 是“最弱信号”的乘数:命中数本身已经被 bm25 / scoreRow 算过,这里只是“量上的小补强”。\n156\t- 改高 clamp(>=10):长 session 永远比短 session 优势大,惩罚“一次精准命中的短 session”。clamp 在 6 是为了把“质”和“量”的权衡偏向质。\n157\t- 改低乘数(<=0.5):没什么副作用,但也没什么收益,不建议动。\n158\t\n159\t---\n160\t\n161\t## recencyDecay: 时间衰减\n162\t\n163\t位置: [ranking.ts:205-210](../ranking.ts)。\n164\t\n165\t```\n166\tmax(0, 18 - days_since_ended * 0.15)\n167\t```\n168\t\n169\t| 参数 | 值 | 含义 |\n170\t|---|---|---|\n171\t| 起始 bonus | 18 | 当 `endedAt = now` 时的最大加分 |\n172\t| 每日衰减 | 0.15 | 每过 1 天减 0.15 |\n173\t| 截断窗口 | 120 天 | `18 / 0.15 = 120`,超过后归零 |\n174\t\n175\t**18 的量级取舍**:\n176\t\n177\t- 18 设计成“接近 cwd 单 token 命中(也是 18)”但仍小于 `titlePhrase=30`。意思是:今天的 session 即使没有 cwd/title 命中,也大约相当于一次 cwd 命中的优先级——但永远不超过明确语义命中。\n178\t- 这是反“最近就是最相关”的:cxs 的搜索更偏召回历史而不是 timeline 浏览,所以 recency 不能压过内容信号。\n179\t\n180\t**0.15/day 的量级取舍**:\n181\t\n182\t- 一周衰减 ~1 分,一个月 ~4.5 分。意味着“最近一周内的差异基本可忽略”,但 1 个月外开始让位给真正的内容命中。\n183\t- 这条是经验取值,代表“记忆里‘最近’的边界”大概是几周不是几天。\n184\t\n185\t**120 天截断的含义**:\n186\t\n187\t- 4 个月之外的 session,recency 完全不参与排序,纯靠内容信号。这是一个有意为之的“记忆边界”——如果你在搜半年前的事情,recency 不应该再帮倒忙地把无关的近期 session 推上来。\n188\t- 改窗口的影响:窗口越长,timeline 偏好越长尾;窗口越短,排序在窗口之外彻底变成内容驱动。120 天是个折衷,不建议轻易动。\n189\t\n190\t**改动它会影响什么**:\n191\t\n192\t- 抬高 18 → recency 接近内容信号,适合“几乎只搜最近”的人,但会让 cxs 退化成时间倒序 + 内容过滤。\n193\t- 抬高 0.15 → 旧 session 更快沉底,适合搜短期记忆;副作用是“两个月前那次配置”这类长跨度回忆变难。\n194\t- 把整个函数换成指数衰减:技术上可行,但目前没有数据支持指数比线性更好,而且会损失这套权重和别的常量之间清晰的“几分等于一次命中”的对应关系。\n195\t\n196\t---\n197\t\n198\t## shouldUseDisplayRow: message 优先于 session\n199\t\n200\t位置: [ranking.ts:148-157](../ranking.ts)。\n201\t\n202\t```ts\n203\tif (candidate.matchSource === \"message\" && current.matchSource !== \"message\") return true;\n204\tif (candidate.matchSource !== current.matchSource) return false;\n205\treturn candidateScore > currentScore;\n206\t```\n207\t\n\n... 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{"parentUuid":"183c6231-46a1-4c7a-a658-8dcdac3bd39f","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01CH4sQsbBHg3dA5r5dxxoxE","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"b471822d-b4b4-4497-af26-1a0a103d20b2","timestamp":"2026-04-27T05:47:26.476Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
650
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{"parentUuid":"b471822d-b4b4-4497-af26-1a0a103d20b2","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01CH4sQsbBHg3dA5r5dxxoxE","hookEvent":"PreToolUse","content":"","stdout":"{\n \"hookSpecificOutput\": {\n \"hookEventName\": \"PreToolUse\",\n \"permissionDecision\": \"allow\",\n \"permissionDecisionReason\": \"RTK auto-rewrite\",\n \"updatedInput\": {\n \"command\": \"rtk git -C /Users/envvar/work/repos/cxs status && echo \\\"---\\\" && rtk git -C /Users/envvar/work/repos/cxs log --oneline @{u}..HEAD\",\n \"description\": \"Verify push and that local matches remote\"\n }\n }\n}\n","stderr":"","exitCode":0,"command":"/Users/envvar/.claude/hooks/rtk-rewrite.sh","durationMs":175},"type":"attachment","uuid":"0c2e351c-6f25-4637-9386-5f695e0552a9","timestamp":"2026-04-27T05:47:26.631Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
651
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{"parentUuid":"183c6231-46a1-4c7a-a658-8dcdac3bd39f","isSidechain":false,"promptId":"bf758c12-4ff5-46fb-b4d8-5d60792cbda8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CH4sQsbBHg3dA5r5dxxoxE","type":"tool_result","content":"* main...origin/main\n~ Modified: 1 files\n bin/cxs\n---\n[rerun: b22]","is_error":false}]},"uuid":"fdfc5069-97b8-49e2-8125-1e4d201731e4","timestamp":"2026-04-27T05:47:26.819Z","toolUseResult":{"stdout":"* main...origin/main\n~ Modified: 1 files\n bin/cxs\n---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"183c6231-46a1-4c7a-a658-8dcdac3bd39f","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
652
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{"parentUuid":"fdfc5069-97b8-49e2-8125-1e4d201731e4","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Rxvay7KcWJFdcGrvYn98Kx","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":202,"cache_read_input_tokens":214961,"output_tokens":310,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":202},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":310,"cache_read_input_tokens":214961,"cache_creation_input_tokens":202,"cache_creation":{"ephemeral_5m_input_tokens":202,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"779974f8-ac69-4762-8ffc-6fe2f0b08389","timestamp":"2026-04-27T05:47:30.970Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
653
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{"parentUuid":"779974f8-ac69-4762-8ffc-6fe2f0b08389","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Rxvay7KcWJFdcGrvYn98Kx","type":"message","role":"assistant","content":[{"type":"text","text":"push 成功,本地与 origin/main 同步。但 `bin/cxs` 莫名变了 modified — 检查下不是我们这轮造成的。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":202,"cache_read_input_tokens":214961,"output_tokens":310,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":202},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":310,"cache_read_input_tokens":214961,"cache_creation_input_tokens":202,"cache_creation":{"ephemeral_5m_input_tokens":202,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"62147277-baaf-4416-9d0f-35bb105e1285","timestamp":"2026-04-27T05:47:31.810Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
654
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{"parentUuid":"62147277-baaf-4416-9d0f-35bb105e1285","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01Rxvay7KcWJFdcGrvYn98Kx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JEYzD1gceGt5Xem67b1qVq","name":"Bash","input":{"command":"git -C /Users/envvar/work/repos/cxs diff bin/cxs","description":"Inspect unexpected bin/cxs modification"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":202,"cache_read_input_tokens":214961,"output_tokens":310,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":202},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":310,"cache_read_input_tokens":214961,"cache_creation_input_tokens":202,"cache_creation":{"ephemeral_5m_input_tokens":202,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"ad20d981-f13d-4055-b38d-dd2680b4b9af","timestamp":"2026-04-27T05:47:32.259Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
655
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{"parentUuid":"ad20d981-f13d-4055-b38d-dd2680b4b9af","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01JEYzD1gceGt5Xem67b1qVq","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"d8167e44-4fee-4ef3-aa5e-9dd2ee197d6b","timestamp":"2026-04-27T05:47:32.273Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"d8167e44-4fee-4ef3-aa5e-9dd2ee197d6b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01JEYzD1gceGt5Xem67b1qVq","hookEvent":"PreToolUse","content":"","stdout":"{\n \"hookSpecificOutput\": {\n \"hookEventName\": \"PreToolUse\",\n \"permissionDecision\": \"allow\",\n \"permissionDecisionReason\": \"RTK auto-rewrite\",\n \"updatedInput\": {\n \"command\": \"rtk git -C /Users/envvar/work/repos/cxs diff bin/cxs\",\n \"description\": \"Inspect unexpected bin/cxs modification\"\n }\n }\n}\n","stderr":"","exitCode":0,"command":"/Users/envvar/.claude/hooks/rtk-rewrite.sh","durationMs":55},"type":"attachment","uuid":"aa9fe9a4-6e37-4c3b-b856-d64600b940d3","timestamp":"2026-04-27T05:47:32.315Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
657
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{"parentUuid":"ad20d981-f13d-4055-b38d-dd2680b4b9af","isSidechain":false,"promptId":"bf758c12-4ff5-46fb-b4d8-5d60792cbda8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JEYzD1gceGt5Xem67b1qVq","type":"tool_result","content":"bin/cxs | 13 ++++++++++++-\n 1 file changed, 12 insertions(+), 1 deletion(-)\n\n--- Changes ---\n\nbin/cxs\n @@ -1,5 +1,16 @@\n -ROOT=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")/..\" && pwd)\"\n +SOURCE=\"${BASH_SOURCE[0]}\"\n +while [ -h \"$SOURCE\" ]; do\n + DIR=\"$(cd -P \"$(dirname \"$SOURCE\")\" && pwd)\"\n + TARGET=\"$(readlink \"$SOURCE\")\"\n + if [[ \"$TARGET\" == /* ]]; then\n + SOURCE=\"$TARGET\"\n + else\n + SOURCE=\"$DIR/$TARGET\"\n + fi\n +done\n +\n +ROOT=\"$(cd -P \"$(dirname \"$SOURCE\")/..\" && pwd)\"\n exec bun run \"$ROOT/cli.ts\" \"$@\"\n +12 -1\n[rerun: b23]","is_error":false}]},"uuid":"55b8b077-bf3b-4f2d-a13d-854b65656e00","timestamp":"2026-04-27T05:47:32.394Z","toolUseResult":{"stdout":"bin/cxs | 13 ++++++++++++-\n 1 file changed, 12 insertions(+), 1 deletion(-)\n\n--- Changes ---\n\nbin/cxs\n @@ -1,5 +1,16 @@\n -ROOT=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")/..\" && pwd)\"\n +SOURCE=\"${BASH_SOURCE[0]}\"\n +while [ -h \"$SOURCE\" ]; do\n + DIR=\"$(cd -P \"$(dirname \"$SOURCE\")\" && pwd)\"\n + TARGET=\"$(readlink \"$SOURCE\")\"\n + if [[ \"$TARGET\" == /* ]]; then\n + SOURCE=\"$TARGET\"\n + else\n + SOURCE=\"$DIR/$TARGET\"\n + fi\n +done\n +\n +ROOT=\"$(cd -P \"$(dirname \"$SOURCE\")/..\" && pwd)\"\n exec bun run \"$ROOT/cli.ts\" \"$@\"\n +12 -1","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ad20d981-f13d-4055-b38d-dd2680b4b9af","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
658
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{"parentUuid":"55b8b077-bf3b-4f2d-a13d-854b65656e00","isSidechain":false,"attachment":{"type":"edited_text_file","filename":"/Users/envvar/work/repos/cxs/cli.test.ts","snippet":"1\timport { afterEach, describe, expect, test } from \"bun:test\";\n2\timport { Database } from \"bun:sqlite\";\n3\timport { chmodSync, mkdtempSync, mkdirSync, rmSync, symlinkSync, writeFileSync } from \"node:fs\";\n4\timport { tmpdir } from \"node:os\";\n5\timport { join } from \"node:path\";\n6\timport { INDEX_VERSION } from \"./env\";\n7\timport { syncSessions } from \"./indexer\";\n8\t\n9\tconst tempDirs: string[] = [];\n10\tconst unreadableFiles: string[] = [];\n11\t\n12\tafterEach(() => {\n13\t for (const filePath of unreadableFiles.splice(0)) {\n14\t try {\n15\t chmodSync(filePath, 0o644);\n16\t } catch {\n17\t // ignore cleanup failures for files that already disappeared\n18\t }\n19\t }\n20\t for (const dir of tempDirs.splice(0)) {\n21\t rmSync(dir, { recursive: true, force: true });\n22\t }\n23\t});\n24\t\n25\tdescribe(\"cxs cli\", () => {\n26\t test(\"bin/cxs works when invoked through a symlink\", async () => {\n27\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-symlink-\"));\n28\t tempDirs.push(base);\n29\t const linkDir = join(base, \"bin\");\n30\t mkdirSync(linkDir, { recursive: true });\n31\t const linkPath = join(linkDir, \"cxs-sim\");\n32\t symlinkSync(join(import.meta.dir, \"bin\", \"cxs\"), linkPath);\n33\t\n34\t const result = await runExecutable(linkPath, [\"--version\"]);\n35\t\n36\t expect(result.exitCode).toBe(0);\n37\t expect(result.stdout.trim()).toBe(\"0.1.0\");\n38\t });\n39\t\n40\t test(\"help only shows current/sync/find/read-range/read-page/list/stats\", async () => {\n41\t const result = await runCli([\"--help\"]);\n42\t expect(result.exitCode).toBe(0);\n43\t expect(result.stdout).toContain(\"current\");\n44\t expect(result.stdout).toContain(\"sync\");\n45\t expect(result.stdout).toContain(\"find\");\n46\t expect(result.stdout).toContain(\"read-range\");\n47\t expect(result.stdout).toContain(\"read-page\");\n48\t expect(result.stdout).toContain(\"list\");\n49\t expect(result.stdout).toContain(\"stats\");\n50\t expect(result.stdout).not.toContain(\"window\");\n51\t expect(result.stdout).not.toContain(\"\\n session \");\n52\t });\n53\t\n54\t test(\"current returns candidate sessions for cwd from state db\", async () => {\n55\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-\"));\n56\t tempDirs.push(base);\n57\t const stateDbPath = join(base, \"state.sqlite\");\n58\t const db = new Database(stateDbPath);\n59\t db.run(`\n60\t CREATE TABLE threads (\n61\t id TEXT PRIMARY KEY,\n62\t rollout_path TEXT NOT NULL,\n63\t cwd TEXT NOT NULL,\n64\t title TEXT NOT NULL,\n65\t updated_at_ms INTEGER\n66\t )\n67\t `);\n68\t db.run(\n69\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n70\t [\"aaaa1111-1111-4111-8111-111111111111\", \"/tmp/one.jsonl\", \"/tmp/picc\", \"older\", 100],\n71\t );\n72\t db.run(\n73\t \"INSERT INTO threads (id, rollout_path, cwd, title, updated_at_ms) VALUES (?, ?, ?, ?, ?)\",\n74\t [\"bbbb2222-2222-4222-8222-222222222222\", \"/tmp/two.jsonl\", \"/tmp/picc\", \"newer\", 200],\n75\t );\n76\t db.close();\n77\t\n78\t const result = await runCli([\n79\t \"current\",\n80\t \"--cwd\",\n81\t \"/tmp/picc\",\n82\t \"--state-db\",\n83\t stateDbPath,\n84\t \"--json\",\n85\t ]);\n86\t expect(result.exitCode).toBe(0);\n87\t const payload = JSON.parse(result.stdout) as {\n88\t cwd: string;\n89\t candidates: Array<{ sessionUuid: string; filePath: string }>;\n90\t };\n91\t expect(payload.cwd).toBe(\"/tmp/picc\");\n92\t expect(payload.candidates.map((candidate) => candidate.sessionUuid)).toEqual([\n93\t \"bbbb2222-2222-4222-8222-222222222222\",\n94\t \"aaaa1111-1111-4111-8111-111111111111\",\n95\t ]);\n96\t expect(payload.candidates[0]?.filePath).toBe(\"/tmp/two.jsonl\");\n97\t });\n98\t\n99\t test(\"current --json emits structured error when state db file is missing\", async () => {\n100\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-missing-\"));\n101\t tempDirs.push(base);\n102\t const stateDbPath = join(base, \"does-not-exist.sqlite\");\n103\t\n104\t const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n105\t expect(result.exitCode).toBe(1);\n106\t const payload = JSON.parse(result.stdout) as {\n107\t error: { code: string; message: string };\n108\t };\n109\t expect(payload.error.code).toBe(\"state_db_unavailable\");\n110\t expect(payload.error.message).toContain(stateDbPath);\n111\t });\n112\t\n113\t test(\"current --json emits structured error when state db schema is unexpected\", async () => {\n114\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-schema-\"));\n115\t tempDirs.push(base);\n116\t const stateDbPath = join(base, \"state.sqlite\");\n117\t const db = new Database(stateDbPath);\n118\t db.run(\"CREATE TABLE other (id INTEGER PRIMARY KEY)\");\n119\t db.close();\n120\t\n121\t const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n122\t expect(result.exitCode).toBe(1);\n123\t const payload = JSON.parse(result.stdout) as {\n124\t error: { code: string; message: string };\n125\t };\n126\t expect(payload.error.code).toBe(\"state_db_unavailable\");\n127\t expect(payload.error.message).toContain(\"threads\");\n128\t });\n129\t\n130\t test(\"current --json emits structured error when 'threads' is missing required columns\", async () => {\n131\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-current-cols-\"));\n132\t tempDirs.push(base);\n133\t const stateDbPath = join(base, \"state.sqlite\");\n134\t const db = new Database(stateDbPath);\n135\t db.run(`\n136\t CREATE TABLE threads (\n137\t id TEXT PRIMARY KEY,\n138\t cwd TEXT NOT NULL,\n139\t title TEXT NOT NULL\n140\t )\n141\t `);\n142\t db.close();\n143\t\n144\t const result = await runCli([\"current\", \"--state-db\", stateDbPath, \"--json\"]);\n145\t expect(result.exitCode).toBe(1);\n146\t const payload = JSON.parse(result.stdout) as {\n147\t error: { code: string; message: string };\n148\t };\n149\t expect(payload.error.code).toBe(\"state_db_unavailable\");\n150\t expect(payload.error.message).toContain(\"rollout_path\");\n151\t // Crucially, raw SQLite errors should never reach stdout — exit 1 with a\n152\t // structured payload is the contract.\n153\t expect(result.stdout).not.toContain(\"SQLiteError\");\n154\t });\n155\t\n156\t test(\"find text output points to read-range\", async () => {\n157\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-\"));\n158\t tempDirs.push(base);\n159\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n160\t mkdirSync(sessionsRoot, { recursive: true });\n161\t\n162\t writeFileSync(\n163\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-44444444-4444-4444-8444-444444444444.jsonl\"),\n164\t [\n165\t line(\"session_meta\", { id: \"44444444-4444-4444-8444-444444444444\", cwd: \"/tmp/project-d\" }),\n166\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n167\t line(\"event_msg\", { type: \"user_message\", message: \"health check 一直失败\" }),\n168\t line(\"event_msg\", { type: \"agent_message\", message: \"先看 readback\" }),\n169\t ].join(\"\\n\"),\n170\t );\n171\t\n172\t const dbPath = join(base, \"index.sqlite\");\n173\t await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n174\t\n175\t const result = await runCli([\"find\", \"health check\", \"--db\", dbPath]);\n176\t expect(result.exitCode).toBe(0);\n177\t expect(result.stdout).toContain(\"next: cxs read-range 44444444-4444-4444-8444-444444444444 --seq 0\");\n178\t expect(result.stdout).not.toContain(\"next: cxs window\");\n179\t });\n180\t\n181\t test(\"list filters by cwd substring and respects sort\", async () => {\n182\t const base = mkdtempSync(join(tmpdir(), \"cxs-cli-list-\"));\n183\t tempDirs.push(base);\n184\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n185\t mkdirSync(sessionsRoot, { recursive: true });\n186\t\n187\t writeFileSync(\n188\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-55555555-5555-4555-8555-555555555555.jsonl\"),\n189\t [\n190\t line(\"session_meta\", { id: \"55555555-5555-4555-8555-555555555555\", cwd: \"/tmp/alpha-proj\" }),\n191\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n192\t line(\"event_msg\", { type: \"user_message\", message: \"alpha one\" }),\n193\t ].join(\"\\n\"),\n\n... [184 lines truncated] ..."},"type":"attachment","uuid":"5987e30a-00c1-4022-bba9-06bd7c2400db","timestamp":"2026-04-27T05:47:32.403Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
659
+
{"type":"last-prompt","lastPrompt":"push","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
660
+
{"type":"custom-title","customTitle":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
661
+
{"type":"agent-name","agentName":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
662
+
{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"parentUuid":"f92c1710-6bf7-4873-826e-e3ff05a1bb13","isSidechain":false,"type":"system","subtype":"away_summary","content":"目标是把 cxs review 报告里的 P0/P1 修完并推上 main,目前 7 个 commit 已 push,本地剩你自己加的 bin/cxs symlink-aware bootstrap 没 commit。下一步等你决定要不要把 bin/cxs 那条 + 配套 symlink 测试一起 commit。 (disable recaps in /config)","timestamp":"2026-04-27T05:50:55.253Z","uuid":"25cef07b-1f69-4afa-8acb-197e9f69abfc","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"25cef07b-1f69-4afa-8acb-197e9f69abfc","isSidechain":false,"promptId":"d1b69a48-7603-4650-81c1-c7cd35d3b9b1","type":"user","message":{"role":"user","content":"review 一下 目前 skills 的 cli 安装流程 以及 skills 的质量（能否最佳实践让 agent 高效使用我们的 cli）"},"uuid":"57198145-b0cc-4368-8308-3eb830e18d81","timestamp":"2026-04-27T05:58:41.382Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"57198145-b0cc-4368-8308-3eb830e18d81","isSidechain":false,"attachment":{"type":"edited_text_file","filename":"/Users/envvar/work/repos/cxs/cli.ts","snippet":"1\t#!/usr/bin/env bun\n2\t\n3\timport { existsSync, readFileSync } from \"node:fs\";\n4\timport { Command } from \"commander\";\n5\timport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\n6\timport {\n7\t printCurrentSessions,\n8\t printFindResults,\n9\t printReadPage,\n10\t printReadRangeResult,\n11\t printSessionList,\n12\t printStats,\n13\t printSyncSummary,\n14\t} from \"./format\";\n15\timport { SyncError, syncSessions } from \"./indexer\";\n16\timport {\n17\t collectStats,\n18\t CurrentStateDbError,\n19\t findSessions,\n20\t getCurrentSessions,\n21\t getMessagePage,\n22\t getMessageRange,\n23\t listSessionSummaries,\n24\t} from \"./query\";\n25\timport { SyncLockTimeoutError } from \"./sync-lock\";\n26\timport type { SessionListSort } from \"./types\";\n27\t\n28\tconst program = new Command();\n29\t\n30\tprogram\n31\t .name(\"cxs\")\n32\t .description(\"Codex sessions 渐进式检索 CLI\")\n33\t .version(readPackageVersion());\n34\t\n35\tprogram\n36\t .command(\"current\")\n37\t .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n38\t .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n39\t .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n40\t .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n41\t .option(\"--json\", \"输出 JSON\")\n42\t .action((options) => {\n43\t const cwd = options.cwd ?? process.cwd();\n44\t const jsonMode = Boolean(options.json);\n45\t try {\n46\t if (!existsSync(options.stateDb)) {\n47\t throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n48\t }\n49\t const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n50\t if (jsonMode) {\n51\t console.log(JSON.stringify(result, null, 2));\n52\t return;\n53\t }\n54\t printCurrentSessions(result.cwd, result.candidates);\n55\t } catch (error) {\n56\t if (error instanceof CurrentStateDbError) {\n57\t emitCurrentError(error, jsonMode);\n58\t return;\n59\t }\n60\t throw error;\n61\t }\n62\t });\n63\t\n64\tprogram\n65\t .command(\"sync\")\n66\t .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n67\t .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n68\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n69\t .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n70\t .option(\"--json\", \"输出 JSON\")\n71\t .action(async (options) => {\n72\t try {\n73\t const summary = await syncSessions({\n74\t dbPath: options.db,\n75\t rootDir: resolveCodexDir(options.root),\n76\t bestEffort: options.bestEffort,\n77\t });\n78\t if (options.json) {\n79\t console.log(JSON.stringify(summary, null, 2));\n80\t return;\n81\t }\n82\t printSyncSummary(summary);\n83\t } catch (error) {\n84\t if (error instanceof SyncError) {\n85\t if (options.json) {\n86\t console.error(JSON.stringify(error.summary, null, 2));\n87\t } else {\n88\t printSyncSummary(error.summary);\n89\t }\n90\t process.exitCode = 1;\n91\t return;\n92\t }\n93\t if (error instanceof SyncLockTimeoutError) {\n94\t if (options.json) {\n95\t console.error(JSON.stringify({ error: error.message }, null, 2));\n96\t } else {\n97\t console.error(error.message);\n98\t }\n99\t process.exitCode = 1;\n100\t return;\n101\t }\n102\t throw error;\n103\t }\n104\t });\n105\t\n106\tprogram\n107\t .command(\"find <query>\")\n108\t .description(\"搜索相关 session，返回最小必要命中\")\n109\t .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n110\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n111\t .option(\"--json\", \"输出 JSON\")\n112\t .action((query, options) => {\n113\t const limit = parsePositiveInt(options.limit, 10);\n114\t const result = findSessions(options.db, query, limit);\n115\t if (options.json) {\n116\t console.log(JSON.stringify(result, null, 2));\n117\t return;\n118\t }\n119\t printFindResults(result.query, result.results);\n120\t });\n121\t\n122\tprogram\n123\t .command(\"read-range <sessionUuid>\")\n124\t .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n125\t .option(\"--seq <n>\", \"显式指定锚点 seq\")\n126\t .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n127\t .option(\"--before <n>\", \"前文条数\", \"2\")\n128\t .option(\"--after <n>\", \"后文条数\", \"2\")\n129\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n130\t .option(\"--json\", \"输出 JSON\")\n131\t .action((sessionUuid, options) => {\n132\t const result = getMessageRange(options.db, sessionUuid, {\n133\t seq: optionalInt(options.seq),\n134\t query: options.query,\n135\t before: parsePositiveInt(options.before, 2),\n136\t after: parsePositiveInt(options.after, 2),\n137\t });\n138\t if (options.json) {\n139\t console.log(JSON.stringify(result, null, 2));\n140\t return;\n141\t }\n142\t printReadRangeResult(\n143\t result.session,\n144\t result.anchorSeq,\n145\t result.messages,\n146\t result.rangeStartSeq,\n147\t result.rangeEndSeq,\n148\t );\n149\t });\n150\t\n151\tprogram\n152\t .command(\"read-page <sessionUuid>\")\n153\t .description(\"顺序分页读取某个 session 的消息\")\n154\t .option(\"--offset <n>\", \"起始 offset\", \"0\")\n155\t .option(\"--limit <n>\", \"页大小\", \"20\")\n156\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n157\t .option(\"--json\", \"输出 JSON\")\n158\t .action((sessionUuid, options) => {\n159\t const result = getMessagePage(\n160\t options.db,\n161\t sessionUuid,\n162\t parseNonNegativeInt(options.offset, 0),\n163\t parsePositiveInt(options.limit, 20),\n164\t );\n165\t if (options.json) {\n166\t console.log(JSON.stringify(result, null, 2));\n167\t return;\n168\t }\n169\t printReadPage(\n170\t result.session,\n171\t result.offset,\n172\t result.limit,\n173\t result.totalCount,\n174\t result.hasMore,\n175\t result.messages,\n176\t );\n177\t });\n178\t\n179\tprogram\n180\t .command(\"list\")\n181\t .description(\"列出已索引的 session（不做全文检索）\")\n182\t .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n183\t .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n184\t .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n185\t .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n186\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n187\t .option(\"--json\", \"输出 JSON\")\n188\t .action((options) => {\n189\t const sort = normalizeListSort(options.sort);\n190\t const result = listSessionSummaries(options.db, {\n191\t cwd: options.cwd,\n192\t since: options.since,\n193\t sort,\n194\t limit: parsePositiveInt(options.limit, 20),\n195\t });\n196\t if (options.json) {\n197\t console.log(JSON.stringify(result, null, 2));\n198\t return;\n199\t }\n200\t printSessionList(result.results);\n201\t });\n202\t\n203\tprogram\n204\t .command(\"stats\")\n205\t .description(\"展示索引状态统计\")\n206\t .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n207\t .option(\"--json\", \"输出 JSON\")\n208\t .action((options) => {\n209\t const summary = collectStats(options.db);\n210\t if (options.json) {\n211\t console.log(JSON.stringify(summary, null, 2));\n212\t return;\n213\t }\n214\t printStats(summary);\n215\t });\n216\t\n217\tprogram.parse();\n218\t\n219\tfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n220\t const parsed = Number.parseInt(value ?? \"\", 10);\n221\t return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n222\t}\n223\t\n224\tfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n225\t const parsed = Number.parseInt(value ?? \"\", 10);\n226\t return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n227\t}\n228\t\n229\tfunction optionalInt(value: string | undefined): number | undefined {\n230\t const parsed = Number.parseInt(value ?? \"\", 10);\n231\t return Number.isFinite(parsed) ? parsed : undefined;\n232\t}\n233\t\n234\tfunction normalizeListSort(value: string | undefined): SessionListSort {\n235\t if (value === \"started\" || value === \"messages\") return value;\n236\t return \"ended\";\n237\t}\n238\t\n239\tfunction readPackageVersion(): string {\n240\t const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");\n241\t const parsed = JSON.parse(raw) as { version?: unknown };\n242\t if (typeof parsed.version !== \"string\" || !parsed.version) {\n243\t throw new Error(\"package.json version is missing\");\n244\t }\n245\t return parsed.version;\n246\t}\n247\t\n\n... [15 lines truncated] ..."},"type":"attachment","uuid":"615cdf68-472e-47d8-944b-62d259ccd131","timestamp":"2026-04-27T05:58:41.381Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"f60ad774-68ea-4f74-99b8-26b8c32be05c","isSidechain":false,"promptId":"d1b69a48-7603-4650-81c1-c7cd35d3b9b1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XzsCR9MQFQAvhWDCQCfDna","type":"tool_result","content":"1\t---\n2\tname: cxs\n3\tdescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"\n4\t---\n5\t\n6\t# cxs\n7\t\n8\t用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。\n9\t\n10\t## 安装\n11\t\n12\t```bash\n13\tnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n14\t```\n15\t\n16\tCLI install guide: https://github.com/catoncat/cxs#cli-install-guide\n17\t\n18\t这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n19\t\n20\t## 路径前提\n21\t\n22\t这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n23\t\n24\t使用前请满足下面任一条件：\n25\t\n26\t- `cxs` 已经在 `PATH` 里\n27\t- 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`\n28\t\n29\t所有命令默认都写成：\n30\t\n31\t```bash\n32\t\"${CXS_BIN:-cxs}\" <subcommand> ...\n33\t```\n34\t\n35\t使用前先验证命令面确实是 cxs：\n36\t\n37\t```bash\n38\t\"${CXS_BIN:-cxs}\" --version\n39\t\"${CXS_BIN:-cxs}\" --help\n40\t```\n41\t\n42\t如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n43\t\n44\t这样可以同时兼容：\n45\t\n46\t- 你自己安装到 `PATH` 的 `cxs`\n47\t- 本地 checkout 里的 `bin/cxs`\n48\t- 其他自定义路径\n49\t\n50\t## 什么时候用 cxs\n51\t\n52\t| 场景 | 用什么 | 原因 |\n53\t| --- | --- | --- |\n54\t| 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n55\t| 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n56\t| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n57\t| 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n58\t| 当前仓库代码/字符串搜索 | 代码搜索工具 | 那是代码库，不是 session 历史 |\n59\t| 当前文件或已知路径阅读 | 文件读取工具 | 不需要走 session 索引 |\n60\t| 外部文档/网页/产品资料 | WebFetch / WebSearch | 不在本机 Codex 历史里 |\n61\t| 今日提交/日报 | commit-daily-summary | 目标是 git，不是 session |\n62\t| 当前会话收尾 | session-wrap | 目标是本轮工作，不是旧对话 |\n63\t\n64\t## 什么时候不要用 cxs\n65\t\n66\t- 用户要搜当前 repo 代码、配置、测试、文档\n67\t- 用户要查外部网站、官方文档、最新信息\n68\t- 用户要总结今天提交、项目日报、当前会话\n69\t- 你已经知道具体 JSONL 文件路径且只需直接读原文\n70\t- 没有 `sessionUuid` 时，不要一上来 `read-page`\n71\t\n72\t## 前置\n73\t\n74\t- 先用 `stats --json` 看 `dbPath`、`lastSyncAt`、`sessionCount`\n75\t- 如果 `stats --json` 提示索引不存在，先跑 `sync`\n76\t- 用户明确说“最近那次”“我刚做过”，但 `lastSyncAt` 很旧或 `find`/`list` 零结果时，先跑 `sync`\n77\t- `sync` 默认严格模式；任一文件失败都会非零退出且不提交半截索引\n78\t- 只有用户接受部分成功时才加 `--best-effort`\n79\t- 从别的 cwd 调用时，若默认 db 不对，显式传 `--db`\n80\t\n81\t## 三步渐进式检索\n82\t\n83\t1. 如果用户给了项目名、cwd、时间窗，先缩范围：\n84\t\n85\t```bash\n86\t\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n87\t```\n88\t\n89\t如果用户说“本项目 / 这个 repo”，把 `<cwd>` 直接换成你当前工作目录路径。\n90\t\n91\t2. 常规入口永远先 `find`，不要冷启 `read-page`：\n92\t\n93\t```bash\n94\t\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n95\t```\n96\t\n97\t先看这些字段：\n98\t\n99\t- `results[].sessionUuid`\n100\t- `results[].matchSource`\n101\t- `results[].matchSeq`\n102\t- `results[].cwd`\n103\t- `results[].startedAt`\n104\t- `results[].matchCount`\n105\t- `results[].summaryText`\n106\t- `results[].snippet`\n107\t\n108\t3. 拿最像的候选做局部扩窗：\n109\t\n110\t```bash\n111\t\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n112\t```\n113\t\n114\t4. 如果你已经锁定某个 session，但想在它内部重定位锚点，用：\n115\t\n116\t```bash\n117\t\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n118\t```\n119\t\n120\t5. 只有在 `read-range` 仍不够时，才升级到整页浏览：\n121\t\n122\t```bash\n123\t\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n124\t```\n125\t\n126\t工作流心法：\n127\t\n128\t- 永远先 `find`，不要直接 `read-page`\n129\t- `matchSource=session` 表示命中来自 title / summary / compact / reasoning summary 等 session-level 字段，且 `matchSeq=null`；这种结果先 `read-page`，不要伪造 `read-range --seq`\n130\t- 升级到 `read-page` 之前，先尝试放大 `--before/--after`\n131\t- 用户给出 `cwd` 或时间窗口时，优先 `list` 缩范围再 `read-range --query`\n132\t- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText`、开头几条 message\n133\t- 同主题可能返回多个不同 `sessionUuid`；按 `cwd`、`startedAt`、`matchCount` 选，不要按 title 脑补去重\n134\t\n135\t## JSON 模式速查\n136\t\n137\t- `find --json`：顶层是 `{ query, results }`；重点看 `sessionUuid`、`matchSource`、`matchSeq`、`summaryText`、`snippet`\n138\t- `read-range --json`：重点看 `anchorSeq`、`rangeStartSeq`、`rangeEndSeq`、`messages[]`\n139\t- `read-page --json`：重点看 `offset`、`limit`、`totalCount`、`hasMore`\n140\t- `list --json`：重点看 `results[].cwd`、`startedAt`、`endedAt`、`messageCount`\n141\t- `stats --json`：重点看 `lastSyncAt`、`dbPath`、`indexVersion`\n142\t- `sync --json`：重点看 `errors`、`errorDetails[]`\n143\t- 完整字段见：`references/json-schema.md`\n144\t\n145\t## 常用排障\n146\t\n147\t| 症状 | 先跑什么 | 怎么处理 |\n148\t| --- | --- | --- |\n149\t| `find` 零结果但用户坚持存在 | `stats --json` | 先看 `lastSyncAt`，必要时 `sync` |\n150\t| `sync` 非零退出 | `sync --json 2>&1` | 看 `errorDetails[]` |\n151\t| `stats/list/find` 报 `database is locked` | 同命令先重试一次 | 还是忙就先跳过 `stats` 直接读 |\n152\t| 同主题出现多条 uuid | `find -n 10 --json` | 按 `cwd`、`startedAt`、`matchCount` 选 |\n153\t| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n154\t| 中文关键词搜不到 | 换至少两字中文或英文关键词 | 详见 `references/failure-cookbook.md#cjk-zero-results` |\n155\t| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围 |\n156\t| 从别的 cwd 调用找不到 db | `stats --json` | 看 `dbPath` 或显式传 `--db` |\n157\t\n158\t## 参考\n159\t\n160\t- `references/cli-surface.md`\n161\t- `references/json-schema.md`\n162\t- `references/progressive-workflow.md`\n163\t- `references/advanced-queries.md`\n164\t- `references/failure-cookbook.md`\n165\t\n166\t# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-22\n167\t"}]},"uuid":"d1c836e3-5fa3-41e9-aa45-551ea43f0b9d","timestamp":"2026-04-27T05:59:01.790Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md","content":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"\n---\n\n# cxs\n\n用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。\n\n## 安装\n\n```bash\nnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n```\n\nCLI install guide: https://github.com/catoncat/cxs#cli-install-guide\n\n这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n\n## 路径前提\n\n这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n\n使用前请满足下面任一条件：\n\n- `cxs` 已经在 `PATH` 里\n- 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`\n\n所有命令默认都写成：\n\n```bash\n\"${CXS_BIN:-cxs}\" <subcommand> ...\n```\n\n使用前先验证命令面确实是 cxs：\n\n```bash\n\"${CXS_BIN:-cxs}\" --version\n\"${CXS_BIN:-cxs}\" --help\n```\n\n如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n\n这样可以同时兼容：\n\n- 你自己安装到 `PATH` 的 `cxs`\n- 本地 checkout 里的 `bin/cxs`\n- 其他自定义路径\n\n## 什么时候用 cxs\n\n| 场景 | 用什么 | 原因 |\n| --- | --- | --- |\n| 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n| 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n| 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n| 当前仓库代码/字符串搜索 | 代码搜索工具 | 那是代码库，不是 session 历史 |\n| 当前文件或已知路径阅读 | 文件读取工具 | 不需要走 session 索引 |\n| 外部文档/网页/产品资料 | WebFetch / WebSearch | 不在本机 Codex 历史里 |\n| 今日提交/日报 | commit-daily-summary | 目标是 git，不是 session |\n| 当前会话收尾 | session-wrap | 目标是本轮工作，不是旧对话 |\n\n## 什么时候不要用 cxs\n\n- 用户要搜当前 repo 代码、配置、测试、文档\n- 用户要查外部网站、官方文档、最新信息\n- 用户要总结今天提交、项目日报、当前会话\n- 你已经知道具体 JSONL 文件路径且只需直接读原文\n- 没有 `sessionUuid` 时，不要一上来 `read-page`\n\n## 前置\n\n- 先用 `stats --json` 看 `dbPath`、`lastSyncAt`、`sessionCount`\n- 如果 `stats --json` 提示索引不存在，先跑 `sync`\n- 用户明确说“最近那次”“我刚做过”，但 `lastSyncAt` 很旧或 `find`/`list` 零结果时，先跑 `sync`\n- `sync` 默认严格模式；任一文件失败都会非零退出且不提交半截索引\n- 只有用户接受部分成功时才加 `--best-effort`\n- 从别的 cwd 调用时，若默认 db 不对，显式传 `--db`\n\n## 三步渐进式检索\n\n1. 如果用户给了项目名、cwd、时间窗，先缩范围：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n```\n\n如果用户说“本项目 / 这个 repo”，把 `<cwd>` 直接换成你当前工作目录路径。\n\n2. 常规入口永远先 `find`，不要冷启 `read-page`：\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n先看这些字段：\n\n- `results[].sessionUuid`\n- `results[].matchSource`\n- `results[].matchSeq`\n- `results[].cwd`\n- `results[].startedAt`\n- `results[].matchCount`\n- `results[].summaryText`\n- `results[].snippet`\n\n3. 拿最像的候选做局部扩窗：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n```\n\n4. 如果你已经锁定某个 session，但想在它内部重定位锚点，用：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n5. 只有在 `read-range` 仍不够时，才升级到整页浏览：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n工作流心法：\n\n- 永远先 `find`，不要直接 `read-page`\n- `matchSource=session` 表示命中来自 title / summary / compact / reasoning summary 等 session-level 字段，且 `matchSeq=null`；这种结果先 `read-page`，不要伪造 `read-range --seq`\n- 升级到 `read-page` 之前，先尝试放大 `--before/--after`\n- 用户给出 `cwd` 或时间窗口时，优先 `list` 缩范围再 `read-range --query`\n- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText`、开头几条 message\n- 同主题可能返回多个不同 `sessionUuid`；按 `cwd`、`startedAt`、`matchCount` 选，不要按 title 脑补去重\n\n## JSON 模式速查\n\n- `find --json`：顶层是 `{ query, results }`；重点看 `sessionUuid`、`matchSource`、`matchSeq`、`summaryText`、`snippet`\n- `read-range --json`：重点看 `anchorSeq`、`rangeStartSeq`、`rangeEndSeq`、`messages[]`\n- `read-page --json`：重点看 `offset`、`limit`、`totalCount`、`hasMore`\n- `list --json`：重点看 `results[].cwd`、`startedAt`、`endedAt`、`messageCount`\n- `stats --json`：重点看 `lastSyncAt`、`dbPath`、`indexVersion`\n- `sync --json`：重点看 `errors`、`errorDetails[]`\n- 完整字段见：`references/json-schema.md`\n\n## 常用排障\n\n| 症状 | 先跑什么 | 怎么处理 |\n| --- | --- | --- |\n| `find` 零结果但用户坚持存在 | `stats --json` | 先看 `lastSyncAt`，必要时 `sync` |\n| `sync` 非零退出 | `sync --json 2>&1` | 看 `errorDetails[]` |\n| `stats/list/find` 报 `database is locked` | 同命令先重试一次 | 还是忙就先跳过 `stats` 直接读 |\n| 同主题出现多条 uuid | `find -n 10 --json` | 按 `cwd`、`startedAt`、`matchCount` 选 |\n| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n| 中文关键词搜不到 | 换至少两字中文或英文关键词 | 详见 `references/failure-cookbook.md#cjk-zero-results` |\n| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围 |\n| 从别的 cwd 调用找不到 db | `stats --json` | 看 `dbPath` 或显式传 `--db` 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{"parentUuid":"d162ede5-ed62-42fa-a3bf-4f3ebda77256","isSidechain":false,"promptId":"d1b69a48-7603-4650-81c1-c7cd35d3b9b1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TZ6vq2C1Qtkj3SNRazfvLH","type":"tool_result","content":"===references/cli-surface===\n# cxs CLI Surface\n\n命令默认写法：\n\n```bash\n\"${CXS_BIN:-cxs}\" <subcommand> ...\n```\n\n如果你没有把 `cxs` 放进 `PATH`，先：\n\n```bash\nexport CXS_BIN=/absolute/path/to/bin/cxs\n```\n\n## sync\n\nPurpose: 扫描本地 `~/.codex/sessions` 并同步到 SQLite 索引。\n\nOptions:\n\n| option | 说明 |\n| --- | --- |\n| `--root <dir>` | 覆盖 sessions 根目录 |\n| `--db <path>` | 覆盖默认数据库 |\n| `--best-effort` | 即使部分文件失败也继续写入成功部分 |\n| `--json` | 成功时把 `SyncSummary` 打到 stdout |\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" sync --json\n\"${CXS_BIN:-cxs}\" sync --json 2>&1\n```\n\n## find\n\nPurpose: 搜索相关 session，返回最小必要命中。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n## read-range\n\nPurpose: 围绕命中点读取局部上下文。\n\nNotes:\n\n- 必须显式传 `<sessionUuid>`\n- 必须二选一提供 `--seq` 或 `--query`\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq 12 --before 4 --after 8 --json\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n## read-page\n\nPurpose: 顺序分页读取某个 session 的消息。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n## list\n\nPurpose: 列出已索引 session，不做全文检索。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --sort ended --json\n```\n\n## stats\n\nPurpose: 展示索引状态统计。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" stats --json\n```\n\n## 来源\n\n- 仓库内 `cli.ts`\n- 仓库内 `env.ts`\n- 仓库内 `README.md`\n\n\n===references/json-schema===\n# cxs JSON Schema\n\n## find\n\nTop-level shape:\n\n```ts\n{\n query: string;\n results: FindResult[];\n}\n```\n\n`FindResult`:\n\n```ts\n{\n rank: number;\n sessionUuid: string;\n title: string;\n summaryText: string;\n cwd: string;\n startedAt: string;\n endedAt: string;\n matchCount: number;\n matchSource: \"message\" | \"session\";\n matchSeq: number | null;\n matchRole: \"user\" | \"assistant\" | \"session\";\n matchTimestamp: string | null;\n score: number;\n snippet: string;\n}\n```\n\n`matchSource = \"session\"` means the hit came from session-level fields such as title, derived summary, compact handoff, or reasoning summary rather than a concrete message. In that case `matchSeq` is `null`; use `read-page` first instead of fabricating a `read-range --seq` anchor.\n\n## read-range\n\n```ts\n{\n session: SessionRecord;\n anchorSeq: number;\n rangeStartSeq: number;\n rangeEndSeq: number;\n messages: MessageRecord[];\n}\n```\n\n## read-page\n\n```ts\n{\n session: SessionRecord;\n offset: number;\n limit: number;\n totalCount: number;\n hasMore: boolean;\n messages: MessageRecord[];\n}\n```\n\n## list\n\n```ts\n{\n query: {\n cwd?: string;\n since?: string;\n sort: \"ended\" | \"started\" | \"messages\";\n limit: number;\n };\n results: SessionListEntry[];\n}\n```\n\n## stats\n\n```ts\n{\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n topCwds: Array<{ cwd: string; count: number }>;\n indexVersion: string;\n dbPath: string;\n dbSizeBytes: number;\n lastSyncAt: string | null;\n}\n```\n\n## sync\n\n```ts\n{\n scanned: number;\n added: number;\n updated: number;\n skipped: number;\n filtered: number;\n errors: number;\n errorDetails: Array<{\n filePath: string;\n message: string;\n }>;\n}\n```\n\n## Shared Records\n\n`SessionRecord`:\n\n```ts\n{\n sessionUuid: string;\n filePath: string;\n title: string;\n summaryText: string;\n cwd: string;\n model: string;\n startedAt: string;\n endedAt: string;\n messageCount: number;\n}\n```\n\n`MessageRecord`:\n\n```ts\n{\n sessionUuid: string;\n seq: number;\n role: \"user\" | \"assistant\";\n contentText: string;\n timestamp: string;\n sourceKind: string;\n}\n```\n\n## 来源\n\n- 仓库内 `types.ts`\n- 仓库内 `cli.ts`\n- 仓库内 `query.ts`\n[rerun: b25]","is_error":false}]},"uuid":"fed203b3-85a8-4a13-b42d-e88a73ebfff5","timestamp":"2026-04-27T05:59:02.865Z","toolUseResult":{"stdout":"===references/cli-surface===\n# cxs CLI Surface\n\n命令默认写法：\n\n```bash\n\"${CXS_BIN:-cxs}\" <subcommand> ...\n```\n\n如果你没有把 `cxs` 放进 `PATH`，先：\n\n```bash\nexport CXS_BIN=/absolute/path/to/bin/cxs\n```\n\n## sync\n\nPurpose: 扫描本地 `~/.codex/sessions` 并同步到 SQLite 索引。\n\nOptions:\n\n| option | 说明 |\n| --- | --- |\n| `--root <dir>` | 覆盖 sessions 根目录 |\n| `--db <path>` | 覆盖默认数据库 |\n| `--best-effort` | 即使部分文件失败也继续写入成功部分 |\n| `--json` | 成功时把 `SyncSummary` 打到 stdout |\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" sync --json\n\"${CXS_BIN:-cxs}\" sync --json 2>&1\n```\n\n## find\n\nPurpose: 搜索相关 session，返回最小必要命中。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n## read-range\n\nPurpose: 围绕命中点读取局部上下文。\n\nNotes:\n\n- 必须显式传 `<sessionUuid>`\n- 必须二选一提供 `--seq` 或 `--query`\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq 12 --before 4 --after 8 --json\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n## read-page\n\nPurpose: 顺序分页读取某个 session 的消息。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n## list\n\nPurpose: 列出已索引 session，不做全文检索。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --sort ended --json\n```\n\n## stats\n\nPurpose: 展示索引状态统计。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" stats --json\n```\n\n## 来源\n\n- 仓库内 `cli.ts`\n- 仓库内 `env.ts`\n- 仓库内 `README.md`\n\n\n===references/json-schema===\n# cxs JSON Schema\n\n## find\n\nTop-level shape:\n\n```ts\n{\n query: string;\n results: FindResult[];\n}\n```\n\n`FindResult`:\n\n```ts\n{\n rank: number;\n sessionUuid: string;\n title: string;\n summaryText: string;\n cwd: string;\n startedAt: string;\n endedAt: string;\n matchCount: number;\n matchSource: \"message\" | \"session\";\n matchSeq: number | null;\n matchRole: \"user\" | \"assistant\" | \"session\";\n matchTimestamp: string | null;\n score: number;\n snippet: string;\n}\n```\n\n`matchSource = \"session\"` means the hit came from session-level fields such as title, derived summary, compact handoff, or reasoning summary rather than a concrete message. In that case `matchSeq` is `null`; use `read-page` first instead of fabricating a `read-range --seq` anchor.\n\n## read-range\n\n```ts\n{\n session: SessionRecord;\n anchorSeq: number;\n rangeStartSeq: number;\n rangeEndSeq: number;\n messages: MessageRecord[];\n}\n```\n\n## read-page\n\n```ts\n{\n session: SessionRecord;\n offset: number;\n limit: number;\n totalCount: number;\n hasMore: boolean;\n messages: MessageRecord[];\n}\n```\n\n## list\n\n```ts\n{\n query: {\n cwd?: string;\n since?: string;\n sort: \"ended\" | \"started\" | \"messages\";\n limit: number;\n };\n results: SessionListEntry[];\n}\n```\n\n## stats\n\n```ts\n{\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n topCwds: Array<{ cwd: string; count: number }>;\n indexVersion: string;\n dbPath: string;\n dbSizeBytes: number;\n lastSyncAt: string | null;\n}\n```\n\n## sync\n\n```ts\n{\n scanned: number;\n added: number;\n updated: number;\n skipped: number;\n filtered: number;\n errors: number;\n errorDetails: Array<{\n filePath: string;\n message: string;\n }>;\n}\n```\n\n## Shared Records\n\n`SessionRecord`:\n\n```ts\n{\n sessionUuid: string;\n filePath: string;\n title: string;\n summaryText: string;\n cwd: string;\n model: string;\n startedAt: string;\n endedAt: string;\n messageCount: number;\n}\n```\n\n`MessageRecord`:\n\n```ts\n{\n sessionUuid: string;\n seq: number;\n role: \"user\" | \"assistant\";\n contentText: string;\n timestamp: string;\n sourceKind: string;\n}\n```\n\n## 来源\n\n- 仓库内 `types.ts`\n- 仓库内 `cli.ts`\n- 仓库内 `query.ts`","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"d162ede5-ed62-42fa-a3bf-4f3ebda77256","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"cba491af-ae6a-4e9c-8b4d-d87357619478","isSidechain":false,"promptId":"d1b69a48-7603-4650-81c1-c7cd35d3b9b1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yLYdUPGfZ3viDJn541g9p","type":"tool_result","content":"===references/progressive-workflow===\n# Progressive Workflow\n\n## 默认三步\n\n1. `find` 拿候选 session 和命中锚点\n2. `read-range` 在最佳候选周围扩局部上下文\n3. `read-page` 只在局部窗口仍不够时翻整页\n\n硬规则：\n\n- 没有 `sessionUuid` 时，不要冷启动 `read-page`\n- 用户给了 `cwd` 或时间窗口时，先 `list`\n- 已锁定 session 但锚点不对时，用 `read-range --query`\n- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText` 和开头几条 message\n\n## Worked Scenario 1\n\n用户说：`上次我配 cf tunnel 是怎么弄的`\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n然后：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n```\n\n只有 `read-range` 还缺前情后果时，再：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n## Worked Scenario 2\n\n用户说：`我记得前几天在 hammerspoon 那个 repo 里试过 IME 切换`\n\n先按 cwd + 时间缩范围：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n```\n\n再在候选 session 内局部重定位：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n## Worked Scenario 3\n\n用户说：`最近本项目有做过什么讨论`\n\n先按当前 repo 路径列最近 session：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd /absolute/path/to/current/repo --sort ended -n 8 --json\n```\n\n不要把 `cwd` 直接当主题真相。至少再看：\n\n- `title`\n- `summaryText`\n- 开头几条 message\n- 结尾几条 message\n\n## 来源\n\n- 仓库内 `README.md`\n- 仓库内 `query.ts`\n- 仓库内 `types.ts`\n\n\n===references/failure-cookbook===\n# Failure Cookbook\n\n## 快速表\n\n| 症状 | 先跑 | 处理 |\n| --- | --- | --- |\n| `find` 零结果但用户坚持存在 | `stats --json` | 看 `lastSyncAt`；必要时 `sync`；再试 `list --cwd` |\n| `sync` 非零退出带 per-file errors | `sync --json 2>&1` | 看 `errorDetails[]`；默认严格模式；只在允许部分成功时加 `--best-effort` |\n| `stats/list/find` 报 `database is locked` | 原命令重试一次 | 多半是 SQLite 忙；仍失败就先跳过 `stats` 直接读 |\n| 同一主题多条 uuid | `find -n 10 --json` | 按 `startedAt`、`cwd`、`matchCount` 选 |\n| 中文/CJK 零结果 | 无 | 换至少两字中文、英文关键词，或先 `list --since` |\n| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 先圈候选，再抽样读头尾确认主题 |\n| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围，再在候选里 `read-range --query` |\n| 从其他 cwd 调用找不到 db | `stats --json` | 看 `dbPath`；必要时显式传 `--db` |\n\n## Find zero results but user insists it exists\n\n```bash\n\"${CXS_BIN:-cxs}\" stats --json\n```\n\n如果 `lastSyncAt` 很旧，先：\n\n```bash\n\"${CXS_BIN:-cxs}\" sync\n```\n\n## Sync non-zero with per-file errors\n\n```bash\n\"${CXS_BIN:-cxs}\" sync --json 2>&1\n```\n\n处理规则：\n\n- 默认不要忽略，先看是坏 JSONL、权限问题还是别的解析失败\n- 只有用户明确接受 partial index 时，才用 `--best-effort`\n\n## Database is locked or SQLITE_BUSY\n\n- 先重试原命令一次\n- 如果只是想读取历史，不一定非得先拿 `stats`\n- 如果你刚跑过 `sync` 或怀疑别的进程正占着 db，先等一下再重试\n\n## Current project discussion query\n\n用户问“最近本项目讨论了什么”时，默认先用当前 repo 绝对路径：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd /absolute/path/to/current/repo --sort ended -n 8 --json\n```\n\n然后至少再看：\n\n- `title`\n- `summaryText`\n- `read-page` 开头 6 到 8 条\n- `read-page` 结尾 6 到 8 条\n\n## Schema drift\n\nsource of truth 永远是：\n\n- 仓库内 `types.ts`\n- 仓库内 `cli.ts`\n\n如果字段、命令、flag 变了：\n\n- 先更新 `references/*.md`\n- 再更新 `SKILL.md`\n- 最后 bump `skill-sync` 日期\n\n## 来源\n\n- 仓库内 `cli.ts`\n- 仓库内 `types.ts`\n- 仓库内 `env.ts`\n- 仓库内 `query.ts`\n\n\n===references/advanced-queries===\n# Advanced Queries\n\n## 实际 query 语义\n\n`cxs` 不是把用户输入原样透传给 SQLite FTS。当前行为是：\n\n- 先把 query 做 tokenizer 处理\n- 每个 term 都会被双引号包住\n- term 与 term 之间一律用 `AND`\n\n这意味着：\n\n- 不要指望用户输入里的 `OR`、`NEAR`、`*`、引号按原生 FTS 运算符生效\n- 空格分开的多词查询，本质上是“这些词都要进候选”\n- 原始整句仍会参与 rerank，所以像 `health check` 这种自然短语仍然值得原样查询\n\n对 agent 的含义：\n\n- 先用自然关键词查询\n- 关键词太宽时，增加第二个稳定词，而不是发明 FTS 运算符\n\n## CJK / 中文行为\n\n当前 tokenizer 对 CJK 的策略是：\n\n- 中文/日文/韩文连续串按重叠 bigram 切分\n- 单个 CJK 字不会成为有效 FTS term\n- 如果 query 含 CJK 但 token 结果为空，会回退到有界 LIKE 扫描\n\n实务建议：\n\n- 单个汉字命中不稳，尽量用至少两字中文词\n- 更稳的是“中文短词 + 英文标识符/报错”\n- 中文零结果时，先换：\n - 至少两字中文\n - 英文关键词\n - 项目名 / cwd 过滤\n\n## 缩范围：什么时候 `list` 胜过 `find`\n\n优先 `list` 的情况：\n\n- 用户给了项目名、repo、cwd\n- 用户给了大致日期或“前几天 / 那周 / 昨天”\n- 用户只记得“在那个项目里做过”，却没有强关键词\n\n典型做法：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n```\n\n然后对候选 session 再跑：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --json\n```\n\n## 同 title 的多变体 session\n\nCodex resume/fork 可能产生多个 title 很像、但 `sessionUuid` 不同的 session。当前 `find` 会保留这些 distinct sessions，不会按 title 折叠。\n\n不要做的事：\n\n- 不要假设 title 一样就是同一场会话\n- 不要自己先按 title 去重再看内容\n\n应该做的事：\n\n- 按 `cwd`\n- 按 `startedAt` / `endedAt`\n- 按 `matchCount`\n- 再决定是否继续 `read-range`\n\n## `snippet` 高亮\n\n- FTS path 的 `snippet` 会带 `<mark>...</mark>`\n- LIKE fallback 也会自己补 `<mark>...</mark>`\n- 如果下游需要纯文本，自己 strip\n- 如果你在回答里要引用命中词，高亮保留也可以\n\n## 来源\n\n- 仓库内 `query.ts`\n- 仓库内 `tokenize.ts`\n- 仓库内 `ranking.ts`\n[rerun: b26]","is_error":false}]},"uuid":"18c493c5-3108-4ec8-b9c2-938fdec67315","timestamp":"2026-04-27T05:59:04.456Z","toolUseResult":{"stdout":"===references/progressive-workflow===\n# Progressive Workflow\n\n## 默认三步\n\n1. `find` 拿候选 session 和命中锚点\n2. `read-range` 在最佳候选周围扩局部上下文\n3. `read-page` 只在局部窗口仍不够时翻整页\n\n硬规则：\n\n- 没有 `sessionUuid` 时，不要冷启动 `read-page`\n- 用户给了 `cwd` 或时间窗口时，先 `list`\n- 已锁定 session 但锚点不对时，用 `read-range --query`\n- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText` 和开头几条 message\n\n## Worked Scenario 1\n\n用户说：`上次我配 cf tunnel 是怎么弄的`\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n然后：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n```\n\n只有 `read-range` 还缺前情后果时，再：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n## Worked Scenario 2\n\n用户说：`我记得前几天在 hammerspoon 那个 repo 里试过 IME 切换`\n\n先按 cwd + 时间缩范围：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n```\n\n再在候选 session 内局部重定位：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n## Worked Scenario 3\n\n用户说：`最近本项目有做过什么讨论`\n\n先按当前 repo 路径列最近 session：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd /absolute/path/to/current/repo --sort ended -n 8 --json\n```\n\n不要把 `cwd` 直接当主题真相。至少再看：\n\n- `title`\n- `summaryText`\n- 开头几条 message\n- 结尾几条 message\n\n## 来源\n\n- 仓库内 `README.md`\n- 仓库内 `query.ts`\n- 仓库内 `types.ts`\n\n\n===references/failure-cookbook===\n# Failure Cookbook\n\n## 快速表\n\n| 症状 | 先跑 | 处理 |\n| --- | --- | --- |\n| `find` 零结果但用户坚持存在 | `stats --json` | 看 `lastSyncAt`；必要时 `sync`；再试 `list --cwd` |\n| `sync` 非零退出带 per-file errors | `sync --json 2>&1` | 看 `errorDetails[]`；默认严格模式；只在允许部分成功时加 `--best-effort` |\n| `stats/list/find` 报 `database is locked` | 原命令重试一次 | 多半是 SQLite 忙；仍失败就先跳过 `stats` 直接读 |\n| 同一主题多条 uuid | `find -n 10 --json` | 按 `startedAt`、`cwd`、`matchCount` 选 |\n| 中文/CJK 零结果 | 无 | 换至少两字中文、英文关键词，或先 `list --since` |\n| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 先圈候选，再抽样读头尾确认主题 |\n| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围，再在候选里 `read-range --query` |\n| 从其他 cwd 调用找不到 db | `stats --json` | 看 `dbPath`；必要时显式传 `--db` |\n\n## Find zero results but user insists it exists\n\n```bash\n\"${CXS_BIN:-cxs}\" stats --json\n```\n\n如果 `lastSyncAt` 很旧，先：\n\n```bash\n\"${CXS_BIN:-cxs}\" sync\n```\n\n## Sync non-zero with per-file errors\n\n```bash\n\"${CXS_BIN:-cxs}\" sync --json 2>&1\n```\n\n处理规则：\n\n- 默认不要忽略，先看是坏 JSONL、权限问题还是别的解析失败\n- 只有用户明确接受 partial index 时，才用 `--best-effort`\n\n## Database is locked or SQLITE_BUSY\n\n- 先重试原命令一次\n- 如果只是想读取历史，不一定非得先拿 `stats`\n- 如果你刚跑过 `sync` 或怀疑别的进程正占着 db，先等一下再重试\n\n## Current project discussion query\n\n用户问“最近本项目讨论了什么”时，默认先用当前 repo 绝对路径：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd /absolute/path/to/current/repo --sort ended -n 8 --json\n```\n\n然后至少再看：\n\n- `title`\n- `summaryText`\n- `read-page` 开头 6 到 8 条\n- `read-page` 结尾 6 到 8 条\n\n## Schema drift\n\nsource of truth 永远是：\n\n- 仓库内 `types.ts`\n- 仓库内 `cli.ts`\n\n如果字段、命令、flag 变了：\n\n- 先更新 `references/*.md`\n- 再更新 `SKILL.md`\n- 最后 bump `skill-sync` 日期\n\n## 来源\n\n- 仓库内 `cli.ts`\n- 仓库内 `types.ts`\n- 仓库内 `env.ts`\n- 仓库内 `query.ts`\n\n\n===references/advanced-queries===\n# Advanced Queries\n\n## 实际 query 语义\n\n`cxs` 不是把用户输入原样透传给 SQLite FTS。当前行为是：\n\n- 先把 query 做 tokenizer 处理\n- 每个 term 都会被双引号包住\n- term 与 term 之间一律用 `AND`\n\n这意味着：\n\n- 不要指望用户输入里的 `OR`、`NEAR`、`*`、引号按原生 FTS 运算符生效\n- 空格分开的多词查询，本质上是“这些词都要进候选”\n- 原始整句仍会参与 rerank，所以像 `health check` 这种自然短语仍然值得原样查询\n\n对 agent 的含义：\n\n- 先用自然关键词查询\n- 关键词太宽时，增加第二个稳定词，而不是发明 FTS 运算符\n\n## CJK / 中文行为\n\n当前 tokenizer 对 CJK 的策略是：\n\n- 中文/日文/韩文连续串按重叠 bigram 切分\n- 单个 CJK 字不会成为有效 FTS term\n- 如果 query 含 CJK 但 token 结果为空，会回退到有界 LIKE 扫描\n\n实务建议：\n\n- 单个汉字命中不稳，尽量用至少两字中文词\n- 更稳的是“中文短词 + 英文标识符/报错”\n- 中文零结果时，先换：\n - 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{"parentUuid":"b2b992a0-83a9-4d54-966b-aa3bb6b7b818","isSidechain":false,"promptId":"d1b69a48-7603-4650-81c1-c7cd35d3b9b1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lw1ceEijAkJcxZKKGHeqnh","type":"tool_result","content":"/Users/envvar/.claude/skills/cxs/SKILL.md → /Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md\n +146 added, -107 removed, ~2 modified\n\n~ 3 description: \"在本机用 cxs 对 Codex session 日志做渐进式检索：find → read-range → read-page。用于用户说之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻一下之前的 session、找那次我跑通的命令、之前那个 codex 对话、以前 debug 过的问题、历史对话、codex 历史、session 历史，或者需要在 ~/.codex/sessions 里定位一段对话、但又不想把整个 JSONL 拉进来读。不是用来做当前仓库代码搜索（用 Grep）、读当前文件（用 Read）、查外部文档（用 WebFetch/WebSearch）、总结今天提交（用 commit-daily-summary）或收尾当前会话（用 session-wrap）。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'.\" → description: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"\n~ 8 用本机 `/Users/envvar/work/repos/cxs/bin/cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。 → 用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。\n- 10 ## 什么时候用 cxs\n+ 10 ## 安装\n- 12 | 场景 | 用什么 | 原因 |\n+ 12 ```bash\n- 13 | --- | --- | --- |\n+ 13 npx skills add catoncat/cxs --skill cxs -g -a codex -y\n- 14 | 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n+ 14 ```\n- 15 | 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n+ 15 \n- 16 | 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n+ 16 CLI install guide: https://github.com/catoncat/cxs#cli-install-guide\n- 17 | 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n+ 17 \n- 18 | 当前仓库代码/字符串搜索 | `Grep` | 那是代码库，不是 session 历史 |\n+ 18 这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n- 19 | 当前文件或已知路径阅读 | `Read` | 不需要走 session 索引 |\n+ 19 \n- 20 | 外部文档/网页/产品资料 | `WebFetch` / `WebSearch` | 不在本机 Codex 历史里 |\n+ 20 ## 路径前提\n- 21 | 今日提交/日报 | `commit-daily-summary` | 目标是 git，不是 session |\n+ 21 \n- 22 | 当前会话收尾 | `session-wrap` | 目标是本轮工作，不是旧对话 |\n+ 22 这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n- 24 ## 什么时候不要用 cxs\n+ 24 使用前请满足下面任一条件：\n- 26 - 用户要搜当前 repo 代码、配置、测试、文档：用 `Grep` / `Read`。\n+ 26 - `cxs` 已经在 `PATH` 里\n- 27 - 用户要查外部网站、官方文档、最新信息：用 `WebFetch` / `WebSearch`。\n+ 27 - 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`\n- 28 - 用户要总结今天提交、项目日报、当前会话：分别用 `commit-daily-summary`、`project-daily-summary`、`session-wrap`。\n+ 28 \n- 29 - 你已经知道具体 JSONL 文件路径且只需直接读取原文：直接 `Read` 或 shell。\n+ 29 所有命令默认都写成：\n- 30 - 不要一上来 `read-page`；没有 `sessionUuid` 和上下文时它只会拉长输出。\n+ 30 \n- 31 \n+ 31 ```bash\n- 32 ## 前置\n+ 32 \"${CXS_BIN:-cxs}\" <subcommand> ...\n- 33 \n+ 33 ```\n- 34 - 二进制绝对路径：`/Users/envvar/work/repos/cxs/bin/cxs`\n+ 34 \n- 35 - 默认 sessions 根目录：`~/.codex/sessions`\n---installed dir tree---\n/Users/envvar/.claude/skills/cxs/:\ndrwxr-xr-x@ - envvar 22 Apr 15:27 references\n.rw-r--r--@ 7.6k envvar 22 Apr 15:38 SKILL.md\n\n/Users/envvar/.claude/skills/cxs/references/:\n.rw-r--r--@ 2.5k envvar 22 Apr 15:27 advanced-queries.md\n.rw-r--r--@ 3.8k envvar 22 Apr 15:27 cli-surface.md\n.rw-r--r--@ 4.6k envvar 22 Apr 15:38 failure-cookbook.md\n.rw-r--r--@ 2.4k envvar 22 Apr 15:27 json-schema.md\n.rw-r--r--@ 3.3k envvar 22 Apr 15:38 progressive-workflow.md\n[rerun: b27]","is_error":false}]},"uuid":"a1bc7c04-ee16-45ac-9f58-55f31424a30b","timestamp":"2026-04-27T05:59:05.951Z","toolUseResult":{"stdout":"/Users/envvar/.claude/skills/cxs/SKILL.md → /Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md\n +146 added, -107 removed, ~2 modified\n\n~ 3 description: \"在本机用 cxs 对 Codex session 日志做渐进式检索：find → read-range → read-page。用于用户说之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻一下之前的 session、找那次我跑通的命令、之前那个 codex 对话、以前 debug 过的问题、历史对话、codex 历史、session 历史，或者需要在 ~/.codex/sessions 里定位一段对话、但又不想把整个 JSONL 拉进来读。不是用来做当前仓库代码搜索（用 Grep）、读当前文件（用 Read）、查外部文档（用 WebFetch/WebSearch）、总结今天提交（用 commit-daily-summary）或收尾当前会话（用 session-wrap）。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'.\" → description: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"\n~ 8 用本机 `/Users/envvar/work/repos/cxs/bin/cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。 → 用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。\n- 10 ## 什么时候用 cxs\n+ 10 ## 安装\n- 12 | 场景 | 用什么 | 原因 |\n+ 12 ```bash\n- 13 | --- | --- | --- |\n+ 13 npx skills add catoncat/cxs --skill cxs -g -a codex -y\n- 14 | 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n+ 14 ```\n- 15 | 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n+ 15 \n- 16 | 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n+ 16 CLI install guide: https://github.com/catoncat/cxs#cli-install-guide\n- 17 | 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n+ 17 \n- 18 | 当前仓库代码/字符串搜索 | `Grep` | 那是代码库，不是 session 历史 |\n+ 18 这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n- 19 | 当前文件或已知路径阅读 | `Read` | 不需要走 session 索引 |\n+ 19 \n- 20 | 外部文档/网页/产品资料 | `WebFetch` / `WebSearch` | 不在本机 Codex 历史里 |\n+ 20 ## 路径前提\n- 21 | 今日提交/日报 | `commit-daily-summary` | 目标是 git，不是 session |\n+ 21 \n- 22 | 当前会话收尾 | `session-wrap` | 目标是本轮工作，不是旧对话 |\n+ 22 这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n- 24 ## 什么时候不要用 cxs\n+ 24 使用前请满足下面任一条件：\n- 26 - 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{"parentUuid":"fe3f093f-ff4a-4f85-b5cd-db3a74b62b66","isSidechain":false,"promptId":"d1b69a48-7603-4650-81c1-c7cd35d3b9b1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019QEmu4Fs7qyvFreWTsugXg","type":"tool_result","content":"1:# cxs\n9:## 适用场景\n16:## 非目标\n33:## 安装\n36:bun install\n39:## CLI Install Guide\n46:bun install\n76:## 用法\n126:## 快速开始\n131:bun install\n143:## 当前实现边界\n166:## 常见问题\n168:### 为什么 `find` 没搜到我刚刚的 session？\n182:### 为什么有些中文短 query 命中不稳定？\n186:### 为什么不做自动实时同步？\n190:## 开发\n212:## 开源协作\n218:## 配套 Skill\n236:CLI install guide:\n238:`https://github.com/catoncat/cxs#cli-install-guide`\n244:- 推荐先按 CLI install guide 让 `cxs` 可执行，或设置 `CXS_BIN=/absolute/path/to/bin/cxs`\n---current command in skill?---\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md:42:如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md:56:| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md:153:| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/references/progressive-workflow.md:59:\"${CXS_BIN:-cxs}\" list --cwd /absolute/path/to/current/repo --sort ended -n 8 --json\n[rerun: b28]","is_error":false}]},"uuid":"870c1d73-60c6-43b9-8c48-966f39f7d013","timestamp":"2026-04-27T06:00:16.454Z","toolUseResult":{"stdout":"1:# cxs\n9:## 适用场景\n16:## 非目标\n33:## 安装\n36:bun install\n39:## CLI Install Guide\n46:bun install\n76:## 用法\n126:## 快速开始\n131:bun install\n143:## 当前实现边界\n166:## 常见问题\n168:### 为什么 `find` 没搜到我刚刚的 session？\n182:### 为什么有些中文短 query 命中不稳定？\n186:### 为什么不做自动实时同步？\n190:## 开发\n212:## 开源协作\n218:## 配套 Skill\n236:CLI install guide:\n238:`https://github.com/catoncat/cxs#cli-install-guide`\n244:- 推荐先按 CLI install guide 让 `cxs` 可执行，或设置 `CXS_BIN=/absolute/path/to/bin/cxs`\n---current command in skill?---\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md:42:如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md:56:| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md:153:| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n/Users/envvar/work/repos/cxs/.agents/skills/cxs/references/progressive-workflow.md:59:\"${CXS_BIN:-cxs}\" list --cwd /absolute/path/to/current/repo --sort ended -n 8 --json","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"fe3f093f-ff4a-4f85-b5cd-db3a74b62b66","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"e2e9a630-0c25-41a1-897e-8574c372ff02","isSidechain":false,"promptId":"d1b69a48-7603-4650-81c1-c7cd35d3b9b1","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TLJresWggFmZHbq1UuDd9Y","type":"tool_result","content":"39\t## CLI Install Guide\n40\t\n41\t`cxs` 目前推荐从源码安装，适合本机工具或 agent sidecar 使用：\n42\t\n43\t```bash\n44\tgit clone https://github.com/catoncat/cxs.git\n45\tcd cxs\n46\tbun install\n47\texport CXS_BIN=\"$PWD/bin/cxs\"\n48\t\"$CXS_BIN\" --version\n49\t\"$CXS_BIN\" --help\n50\t```\n51\t\n52\t`--version` 应输出当前 `package.json` 里的版本号；`--help` 应显示 `sync`、`find`、`read-range`、`read-page`、`list`、`stats`、`current`。\n53\t\n54\t首次使用前建立索引：\n55\t\n56\t```bash\n57\t\"$CXS_BIN\" sync\n58\t\"$CXS_BIN\" stats --json\n59\t```\n60\t\n61\t如果希望直接使用 `cxs` 命令，可以把仓库里的启动脚本链接到 PATH：\n62\t\n63\t```bash\n64\tmkdir -p ~/bin\n65\tln -sf \"$PWD/bin/cxs\" ~/bin/cxs\n66\texport PATH=\"$HOME/bin:$PATH\"\n67\tcxs --version\n68\t```\n69\t\n70\t要求：\n71\t\n72\t- Bun `>= 1.3`\n73\t- 本机可读取 `~/.codex/sessions`\n74\t- 默认会在仓库内使用 `./data/index.sqlite` 作为索引库\n75\t\n76\t## 用法\n77\t\n78\t默认会读取：\n79\t\n80\t- Codex sessions：`~/.codex/sessions`\n81\t- 标题索引：`~/.codex/session_index.jsonl`\n82\t- SQLite 索引：项目内 `./data/index.sqlite`\n83\t\n84\t先建立索引：\n85\t\n86\t```bash\n87\t./bin/cxs sync\n88\t```\n89\t\n90\t`sync` 默认是严格模式：任一文件解析或写库失败都会带着 per-file 诊断非零退出，并且不会提交半截索引。只有显式传 `--best-effort` 时，才会继续写入成功部分。\n91\t\n92\t搜索会话：\n93\t\n94\t```bash\n95\t./bin/cxs find \"health check\"\n96\t```\n97\t\n98\t`find` 会返回标题、派生的 session summary，以及当前锚点 snippet，方便先做轻量筛选再决定是否 `read-range`。如果命中只来自 session-level title/summary/compact/reasoning summary，结果会标为 `matchSource = \"session\"`，这时先用 `read-page` 浏览整场会话。\n99\t\n100\t围绕命中点读取局部上下文：\n101\t\n102\t```bash\n103\t./bin/cxs read-range <sessionUuid> --seq 12\n104\t./bin/cxs read-range <sessionUuid> --query \"health check\"\n105\t```\n106\t\n107\t分页读取整场会话：\n108\t\n109\t```bash\n110\t./bin/cxs read-page <sessionUuid> --offset 0 --limit 20\n111\t```\n112\t\n113\t列出已索引 session（不做全文检索）：\n114\t\n115\t```bash\n116\t./bin/cxs list --limit 20\n117\t./bin/cxs list --cwd hammerspoon --since 2026-04-01 --sort ended\n118\t```\n119\t\n120\t索引状态：\n121\t\n122\t```bash\n123\t./bin/cxs stats"}]},"uuid":"7581a628-a5cf-4c62-8a51-90250e2741b8","timestamp":"2026-04-27T06:00:29.418Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/README.md","content":"## CLI Install Guide\n\n`cxs` 目前推荐从源码安装，适合本机工具或 agent sidecar 使用：\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nbun install\nexport CXS_BIN=\"$PWD/bin/cxs\"\n\"$CXS_BIN\" --version\n\"$CXS_BIN\" --help\n```\n\n`--version` 应输出当前 `package.json` 里的版本号；`--help` 应显示 `sync`、`find`、`read-range`、`read-page`、`list`、`stats`、`current`。\n\n首次使用前建立索引：\n\n```bash\n\"$CXS_BIN\" sync\n\"$CXS_BIN\" stats --json\n```\n\n如果希望直接使用 `cxs` 命令，可以把仓库里的启动脚本链接到 PATH：\n\n```bash\nmkdir -p ~/bin\nln -sf \"$PWD/bin/cxs\" ~/bin/cxs\nexport PATH=\"$HOME/bin:$PATH\"\ncxs --version\n```\n\n要求：\n\n- Bun `>= 1.3`\n- 本机可读取 `~/.codex/sessions`\n- 默认会在仓库内使用 `./data/index.sqlite` 作为索引库\n\n## 用法\n\n默认会读取：\n\n- Codex sessions：`~/.codex/sessions`\n- 标题索引：`~/.codex/session_index.jsonl`\n- SQLite 索引：项目内 `./data/index.sqlite`\n\n先建立索引：\n\n```bash\n./bin/cxs sync\n```\n\n`sync` 默认是严格模式：任一文件解析或写库失败都会带着 per-file 诊断非零退出，并且不会提交半截索引。只有显式传 `--best-effort` 时，才会继续写入成功部分。\n\n搜索会话：\n\n```bash\n./bin/cxs find \"health check\"\n```\n\n`find` 会返回标题、派生的 session summary，以及当前锚点 snippet，方便先做轻量筛选再决定是否 `read-range`。如果命中只来自 session-level title/summary/compact/reasoning summary，结果会标为 `matchSource = \"session\"`，这时先用 `read-page` 浏览整场会话。\n\n围绕命中点读取局部上下文：\n\n```bash\n./bin/cxs read-range <sessionUuid> --seq 12\n./bin/cxs read-range <sessionUuid> --query \"health check\"\n```\n\n分页读取整场会话：\n\n```bash\n./bin/cxs read-page <sessionUuid> --offset 0 --limit 20\n```\n\n列出已索引 session（不做全文检索）：\n\n```bash\n./bin/cxs list --limit 20\n./bin/cxs list --cwd hammerspoon --since 2026-04-01 --sort ended\n```\n\n索引状态：\n\n```bash\n./bin/cxs stats","numLines":85,"startLine":39,"totalLines":245}},"sourceToolAssistantUUID":"e2e9a630-0c25-41a1-897e-8574c372ff02","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"a91e1281-84a1-4e7d-af3e-66b09edd2c88","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_011Nir5Q2kvcNqD2SuyEKtbz","type":"message","role":"assistant","content":[{"type":"text","text":"review 完成。Skill 内容覆盖很全,但有几个明确的 outdated 点和一致性问题。\n\n## 安装流程 Review\n\n```\n1) npx skills add catoncat/cxs --skill cxs -g -a codex -y (skill 文档)\n2) git clone + bun install + 设 CXS_BIN/symlink (CLI 二进制)\n```\n\n**问题**\n\n| 严重度 | 问题 | 证据 |\n|---|---|---|\n| 🔴 | `~/.claude/skills/cxs/SKILL.md`(已装本机版)与 repo `.agents/skills/cxs/SKILL.md` 已 desync | 本机版仍写 `用本机 /Users/envvar/work/repos/cxs/bin/cxs`(个人绝对路径),repo 版已切到 `cxs` + `CXS_BIN`。description 也不同(本机版多英文 trigger,repo 版精简) |\n| 🟡 | `-a codex` flag 写死在公开 SKILL.md | Claude Code 用户照抄会装错 agent slot,直接看不到 skill;应在 install 段说明 `-a` 取值依赖目标 runtime |\n| 🟡 | skill 装完 → 跑 `cxs` 直接 command not found | SKILL.md 行 18 有提示但安装命令本身无 hint;改进:install 段把\"两步\"摆在最前面,而不是装完再补充 |\n| 🟢 | 无一键 install(`npm i -g cxs` 之类) | 当前必须 git clone + bun install + 手动 PATH;对手工玩家 OK,对一般用户略繁 |\n\n## Skill 内容质量\n\n**亮点**:渐进式心法(find → read-range → read-page)反复强调、`matchSource=\"session\"` 反伪造陷阱多处提醒、CJK 行为单独成节、failure cookbook 症状表清晰、references 每个 .md 末尾有\"来源\"段利后续 sync。\n\n**问题**\n\n| 严重度 | 问题 | 证据 |\n|---|---|---|\n| 🔴 | **`current` 子命令在 SKILL.md 工作流完全缺失** | SKILL.md 主体的\"什么时候用 cxs\"表、三步工作流、scenarios 全部不教 `current`。而 `current` 是直读 codex state DB、零索引依赖、按 cwd 拿候选 session 的最快路径 — 比 `list --cwd` 更准。`cli-surface.md` 也没有 current section |\n| 🔴 | description 双向不同 | 本机版含英文 trigger(\"last time I\", \"previous codex chat\", ...),repo 版精简后丢失。重 install 会 regression 英文触发覆盖 |\n| 🟡 | 三种 `--json` error shape 不统一,skill 未列对照表 | `sync` SyncError 是 `error.summary`(含 errorDetails[]);`sync` SyncLockTimeoutError 是 `{error: <string>}`;`current` schema 错是 `{error:{code,message}}`。failure-cookbook 没拉一张 error-shape 速查 |\n| 🟡 | failure-cookbook 缺 `state_db_unavailable` 处理 | P0-4 加的结构化错误 contract 没传到 skill,agent 拿到 error 不知道是 state DB 不在/schema 不对,可能去重跑 sync |\n| 🟡 | SKILL.md 与 references 内容重复 ~50% | 166 行 SKILL.md 自身讲完了渐进式工作流 + JSON 速查 + failure 表,与 progressive-workflow.md / json-schema.md / failure-cookbook.md 重叠。Skill best practice 是 SKILL.md 薄、references 厚 |\n| 🟢 | snippet `<mark>` 高亮没在 JSON 速查里提醒 | advanced-queries.md 有讲,SKILL.md 主体未强调,新手 agent 直接打印给用户会暴露 raw 标签 |\n| 🟢 | `-y` 自动同意安装但没提醒 review | 安全意识好的用户应该先看 SKILL.md 再装,不应默认 `-y` |\n\n## 建议修复优先级\n\n**P0(必须做)**\n\n1. **同步 `~/.claude/skills/cxs/` 与 repo `.agents/skills/cxs/`**:决定 canonical 是哪一版,把另一版覆盖。建议以 repo 为 canonical(正在 git 管理,且去掉了个人路径),但要把本机版的英文 trigger 触发词合并进 frontmatter description。\n2. **加 `current` 子命令的工作流**:\n - `cli-surface.md` 加一节\n - SKILL.md \"什么时候用 cxs\"表加一行(用户问\"本项目最近的对话\"等场景)\n - `progressive-workflow.md` 加 worked scenario:用 `current` 直接拿同 cwd 候选,然后 `read-page`\n3. **`failure-cookbook.md` 加 `state_db_unavailable` 处理段**:列出 missing-table / missing-column / state-db-not-found 三种 message,告诉 agent \"这是 codex state DB 不可用,不是 cxs 自身坏,提示用户检查 codex 安装\"。\n\n**P1(明显改进)**\n\n4. SKILL.md 减薄至 ~80 行:删掉与 references 重复的\"三步渐进式检索\"详细命令、\"JSON 模式速查\"详细字段、\"常用排障\"完整表;主体只留触发场景 + 心法 + 链 references。\n5. failure-cookbook 加一张 `--json error shape` 对照表,统一三种 error 形状供 agent 解析。\n\n**P2(锦上添花)**\n\n6. 探索是否能给 cxs 加 `npm i -g cxs` 路径(单 binary 安装),减少 install guide 步数。\n7. SKILL.md 安装段把\"两步走\"摆在最前面,Anthropic agent runtime 明确说明 `-a` 取值。\n\n要我接着把 P0 三条并到一个 follow-up commit 推一遍吗?其中 1 和 2 都需要文件改动 + 同步 ~/.claude/skills/。"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1897,"cache_read_input_tokens":242574,"output_tokens":4687,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1897},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":4687,"cache_read_input_tokens":242574,"cache_creation_input_tokens":1897,"cache_creation":{"ephemeral_5m_input_tokens":1897,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"e7fd8f7c-3c0f-43c2-a522-f0f14c98667b","timestamp":"2026-04-27T06:01:46.155Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"7815e816-5a9d-4eee-b244-8508d507d32b","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01ScEiToTGSJAPMgymAGY3KW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0166bZimNjnFTvKjPReHQxn5","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md","old_string":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"\n---","new_string":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'. 不要用于当前仓库代码搜索(Grep)、读当前文件(Read)、外部文档(WebFetch/WebSearch)、今日提交/日报(commit-daily-summary)或当前会话收尾(session-wrap)。\"\n---"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3772,"cache_read_input_tokens":249172,"output_tokens":628,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3772},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":628,"cache_read_input_tokens":249172,"cache_creation_input_tokens":3772,"cache_creation":{"ephemeral_5m_input_tokens":3772,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"fd8ee926-71a1-492b-898b-e6c09327a5bd","timestamp":"2026-04-27T06:04:47.135Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"fd8ee926-71a1-492b-898b-e6c09327a5bd","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_0166bZimNjnFTvKjPReHQxn5","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"c2d50462-bdc7-453d-8b21-7e493aa5ab3d","timestamp":"2026-04-27T06:04:47.180Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"fd8ee926-71a1-492b-898b-e6c09327a5bd","isSidechain":false,"promptId":"98e472a0-1076-4c60-bf47-2df8b9076317","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0166bZimNjnFTvKjPReHQxn5","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md has been updated successfully."}]},"uuid":"cfb5d61a-52c9-4955-85ce-ab0ef72f4731","timestamp":"2026-04-27T06:04:47.184Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md","oldString":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"\n---","newString":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'. 不要用于当前仓库代码搜索(Grep)、读当前文件(Read)、外部文档(WebFetch/WebSearch)、今日提交/日报(commit-daily-summary)或当前会话收尾(session-wrap)。\"\n---","originalFile":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"\n---\n\n# cxs\n\n用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。\n\n## 安装\n\n```bash\nnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n```\n\nCLI install guide: https://github.com/catoncat/cxs#cli-install-guide\n\n这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n\n## 路径前提\n\n这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n\n使用前请满足下面任一条件：\n\n- `cxs` 已经在 `PATH` 里\n- 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`\n\n所有命令默认都写成：\n\n```bash\n\"${CXS_BIN:-cxs}\" <subcommand> ...\n```\n\n使用前先验证命令面确实是 cxs：\n\n```bash\n\"${CXS_BIN:-cxs}\" --version\n\"${CXS_BIN:-cxs}\" --help\n```\n\n如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n\n这样可以同时兼容：\n\n- 你自己安装到 `PATH` 的 `cxs`\n- 本地 checkout 里的 `bin/cxs`\n- 其他自定义路径\n\n## 什么时候用 cxs\n\n| 场景 | 用什么 | 原因 |\n| --- | --- | --- |\n| 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n| 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n| 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n| 当前仓库代码/字符串搜索 | 代码搜索工具 | 那是代码库，不是 session 历史 |\n| 当前文件或已知路径阅读 | 文件读取工具 | 不需要走 session 索引 |\n| 外部文档/网页/产品资料 | WebFetch / WebSearch | 不在本机 Codex 历史里 |\n| 今日提交/日报 | commit-daily-summary | 目标是 git，不是 session |\n| 当前会话收尾 | session-wrap | 目标是本轮工作，不是旧对话 |\n\n## 什么时候不要用 cxs\n\n- 用户要搜当前 repo 代码、配置、测试、文档\n- 用户要查外部网站、官方文档、最新信息\n- 用户要总结今天提交、项目日报、当前会话\n- 你已经知道具体 JSONL 文件路径且只需直接读原文\n- 没有 `sessionUuid` 时，不要一上来 `read-page`\n\n## 前置\n\n- 先用 `stats --json` 看 `dbPath`、`lastSyncAt`、`sessionCount`\n- 如果 `stats --json` 提示索引不存在，先跑 `sync`\n- 用户明确说“最近那次”“我刚做过”，但 `lastSyncAt` 很旧或 `find`/`list` 零结果时，先跑 `sync`\n- `sync` 默认严格模式；任一文件失败都会非零退出且不提交半截索引\n- 只有用户接受部分成功时才加 `--best-effort`\n- 从别的 cwd 调用时，若默认 db 不对，显式传 `--db`\n\n## 三步渐进式检索\n\n1. 如果用户给了项目名、cwd、时间窗，先缩范围：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n```\n\n如果用户说“本项目 / 这个 repo”，把 `<cwd>` 直接换成你当前工作目录路径。\n\n2. 常规入口永远先 `find`，不要冷启 `read-page`：\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n先看这些字段：\n\n- `results[].sessionUuid`\n- `results[].matchSource`\n- `results[].matchSeq`\n- `results[].cwd`\n- `results[].startedAt`\n- `results[].matchCount`\n- `results[].summaryText`\n- `results[].snippet`\n\n3. 拿最像的候选做局部扩窗：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n```\n\n4. 如果你已经锁定某个 session，但想在它内部重定位锚点，用：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n5. 只有在 `read-range` 仍不够时，才升级到整页浏览：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n工作流心法：\n\n- 永远先 `find`，不要直接 `read-page`\n- `matchSource=session` 表示命中来自 title / summary / compact / reasoning summary 等 session-level 字段，且 `matchSeq=null`；这种结果先 `read-page`，不要伪造 `read-range --seq`\n- 升级到 `read-page` 之前，先尝试放大 `--before/--after`\n- 用户给出 `cwd` 或时间窗口时，优先 `list` 缩范围再 `read-range --query`\n- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText`、开头几条 message\n- 同主题可能返回多个不同 `sessionUuid`；按 `cwd`、`startedAt`、`matchCount` 选，不要按 title 脑补去重\n\n## JSON 模式速查\n\n- `find --json`：顶层是 `{ query, results }`；重点看 `sessionUuid`、`matchSource`、`matchSeq`、`summaryText`、`snippet`\n- `read-range --json`：重点看 `anchorSeq`、`rangeStartSeq`、`rangeEndSeq`、`messages[]`\n- `read-page --json`：重点看 `offset`、`limit`、`totalCount`、`hasMore`\n- `list --json`：重点看 `results[].cwd`、`startedAt`、`endedAt`、`messageCount`\n- `stats --json`：重点看 `lastSyncAt`、`dbPath`、`indexVersion`\n- `sync --json`：重点看 `errors`、`errorDetails[]`\n- 完整字段见：`references/json-schema.md`\n\n## 常用排障\n\n| 症状 | 先跑什么 | 怎么处理 |\n| --- | --- | --- |\n| `find` 零结果但用户坚持存在 | `stats --json` | 先看 `lastSyncAt`，必要时 `sync` |\n| `sync` 非零退出 | `sync --json 2>&1` | 看 `errorDetails[]` |\n| `stats/list/find` 报 `database is locked` | 同命令先重试一次 | 还是忙就先跳过 `stats` 直接读 |\n| 同主题出现多条 uuid | `find -n 10 --json` | 按 `cwd`、`startedAt`、`matchCount` 选 |\n| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n| 中文关键词搜不到 | 换至少两字中文或英文关键词 | 详见 `references/failure-cookbook.md#cjk-zero-results` |\n| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围 |\n| 从别的 cwd 调用找不到 db | `stats --json` | 看 `dbPath` 或显式传 `--db` |\n\n## 参考\n\n- `references/cli-surface.md`\n- `references/json-schema.md`\n- `references/progressive-workflow.md`\n- `references/advanced-queries.md`\n- `references/failure-cookbook.md`\n\n# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-22\n","structuredPatch":[{"oldStart":1,"oldLines":6,"newStart":1,"newLines":6,"lines":[" ---"," name: cxs","-description: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文：之前、上次、前几天、我记得、我们讨论过、翻旧 session、找那次命令、历史对话、Codex history、previous/earlier/last Codex chat。不要用于当前仓库代码搜索、外部文档、今日提交/日报或当前会话收尾。\"","+description: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'. 不要用于当前仓库代码搜索(Grep)、读当前文件(Read)、外部文档(WebFetch/WebSearch)、今日提交/日报(commit-daily-summary)或当前会话收尾(session-wrap)。\""," ---"," "," # 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{"parentUuid":"bca1c224-65b2-4ac1-b87a-26fbb372ea4c","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01WubgG6pb1ZrAGzVcW1n44Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016w9XzSGLButU5tWf3Q5LCe","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/references/cli-surface.md","old_string":"## sync\n\nPurpose: 扫描本地 `~/.codex/sessions` 并同步到 SQLite 索引。","new_string":"## current\n\nPurpose: 直读 Codex state SQLite,按 cwd 拿候选 session,**不依赖 cxs 自己的索引**。\n\nNotes:\n\n- 适合用户问\"本项目最近的对话\"等 cwd 场景,即使 `cxs sync` 从未跑过也能工作\n- 默认 state DB 路径 `~/.codex/state.sqlite`,可用 `--state-db` 覆盖\n- `--cwd` 缺省走 `process.cwd()`\n- `--json` 顶层 `{ cwd, candidates: CurrentSessionCandidate[] }`;每个 candidate 含 `sessionUuid / title / cwd / filePath / updatedAtMs`\n- state DB 不存在/schema 不对时,`--json` 输出 `{ error: { code: \"state_db_unavailable\", message } }`,exit code 1\n\nOptions:\n\n| option | 说明 |\n| --- | --- |\n| `--cwd <path>` | 指定 cwd,默认当前工作目录 |\n| `-n, --limit <n>` | 候选条数上限,默认 100 |\n| `--state-db <path>` | 覆盖默认 Codex state SQLite 路径 |\n| `--json` | 输出 JSON |\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" current --json\n\"${CXS_BIN:-cxs}\" current --cwd /Users/me/work/foo --json\n```\n\n## sync\n\nPurpose: 扫描本地 `~/.codex/sessions` 并同步到 SQLite 索引。"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":747,"cache_read_input_tokens":252944,"output_tokens":882,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":747},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":882,"cache_read_input_tokens":252944,"cache_creation_input_tokens":747,"cache_creation":{"ephemeral_5m_input_tokens":747,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"05aed055-824b-4698-94e0-18c8bbb7baa7","timestamp":"2026-04-27T06:04:59.167Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"59e9f992-e3ce-4b10-8403-a413ec25f6bc","isSidechain":false,"promptId":"98e472a0-1076-4c60-bf47-2df8b9076317","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WLZELei4d75NwWEaQzn43s","type":"tool_result","content":"1\t# cxs CLI Surface\n2\t\n3\t命令默认写法：\n4\t\n5\t```bash\n6\t\"${CXS_BIN:-cxs}\" <subcommand> ...\n7\t```\n8\t\n9\t如果你没有把 `cxs` 放进 `PATH`，先：\n10\t\n11\t```bash\n12\texport CXS_BIN=/absolute/path/to/bin/cxs\n13\t```\n14\t\n15\t## sync\n16\t\n17\tPurpose: 扫描本地 `~/.codex/sessions` 并同步到 SQLite 索引。\n18\t\n19\tOptions:\n20\t\n21\t| option | 说明 |\n22\t| --- | --- |\n23\t| `--root <dir>` | 覆盖 sessions 根目录 |\n24\t| `--db <path>` | 覆盖默认数据库 |\n25\t| `--best-effort` | 即使部分文件失败也继续写入成功部分 |\n26\t| `--json` | 成功时把 `SyncSummary` 打到 stdout |\n27\t\n28\tExample:\n29\t\n30\t```bash\n31\t\"${CXS_BIN:-cxs}\" sync --json\n32\t\"${CXS_BIN:-cxs}\" sync --json 2>&1\n33\t```\n34\t\n35\t## find\n36\t\n37\tPurpose: 搜索相关 session，返回最小必要命中。\n38\t\n39\tExample:\n40\t\n41\t```bash\n42\t\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n43\t```\n44\t\n45\t## read-range\n46\t\n47\tPurpose: 围绕命中点读取局部上下文。\n48\t\n49\tNotes:\n50\t\n51\t- 必须显式传 `<sessionUuid>`\n52\t- 必须二选一提供 `--seq` 或 `--query`\n53\t\n54\tExample:\n55\t\n56\t```bash\n57\t\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq 12 --before 4 --after 8 --json\n58\t\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n59\t```\n60\t\n61\t## read-page\n62\t\n63\tPurpose: 顺序分页读取某个 session 的消息。\n64\t\n65\tExample:\n66\t\n67\t```bash\n68\t\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n69\t```\n70\t\n71\t## list\n72\t\n73\tPurpose: 列出已索引 session，不做全文检索。\n74\t\n75\tExample:\n76\t\n77\t```bash\n78\t\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --sort ended --json\n79\t```\n80\t\n81\t## stats\n82\t\n83\tPurpose: 展示索引状态统计。\n84\t\n85\tExample:\n86\t\n87\t```bash\n88\t\"${CXS_BIN:-cxs}\" stats --json\n89\t```\n90\t\n91\t## 来源\n92\t\n93\t- 仓库内 `cli.ts`\n94\t- 仓库内 `env.ts`\n95\t- 仓库内 `README.md`\n96\t"}]},"uuid":"bbbf840b-d4ae-4aed-ac70-53712d08111d","timestamp":"2026-04-27T06:05:02.981Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/references/cli-surface.md","content":"# cxs CLI Surface\n\n命令默认写法：\n\n```bash\n\"${CXS_BIN:-cxs}\" <subcommand> ...\n```\n\n如果你没有把 `cxs` 放进 `PATH`，先：\n\n```bash\nexport CXS_BIN=/absolute/path/to/bin/cxs\n```\n\n## sync\n\nPurpose: 扫描本地 `~/.codex/sessions` 并同步到 SQLite 索引。\n\nOptions:\n\n| option | 说明 |\n| --- | --- |\n| `--root <dir>` | 覆盖 sessions 根目录 |\n| `--db <path>` | 覆盖默认数据库 |\n| `--best-effort` | 即使部分文件失败也继续写入成功部分 |\n| `--json` | 成功时把 `SyncSummary` 打到 stdout |\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" sync --json\n\"${CXS_BIN:-cxs}\" sync --json 2>&1\n```\n\n## find\n\nPurpose: 搜索相关 session，返回最小必要命中。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n## read-range\n\nPurpose: 围绕命中点读取局部上下文。\n\nNotes:\n\n- 必须显式传 `<sessionUuid>`\n- 必须二选一提供 `--seq` 或 `--query`\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq 12 --before 4 --after 8 --json\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n## read-page\n\nPurpose: 顺序分页读取某个 session 的消息。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n## list\n\nPurpose: 列出已索引 session，不做全文检索。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --sort ended --json\n```\n\n## stats\n\nPurpose: 展示索引状态统计。\n\nExample:\n\n```bash\n\"${CXS_BIN:-cxs}\" stats --json\n```\n\n## 来源\n\n- 仓库内 `cli.ts`\n- 仓库内 `env.ts`\n- 仓库内 `README.md`\n","numLines":96,"startLine":1,"totalLines":96}},"sourceToolAssistantUUID":"59e9f992-e3ce-4b10-8403-a413ec25f6bc","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n19\t\n20\t## 路径前提\n21\t\n22\t这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n23\t\n24\t使用前请满足下面任一条件：\n25\t\n26\t- `cxs` 已经在 `PATH` 里\n27\t- 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`\n28\t\n29\t所有命令默认都写成：\n30\t\n31\t```bash\n32\t\"${CXS_BIN:-cxs}\" <subcommand> ...\n33\t```\n34\t\n35\t使用前先验证命令面确实是 cxs：\n36\t\n37\t```bash\n38\t\"${CXS_BIN:-cxs}\" --version\n39\t\"${CXS_BIN:-cxs}\" --help\n40\t```\n41\t\n42\t如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n43\t\n44\t这样可以同时兼容：\n45\t\n46\t- 你自己安装到 `PATH` 的 `cxs`\n47\t- 本地 checkout 里的 `bin/cxs`\n48\t- 其他自定义路径\n49\t\n50\t## 什么时候用 cxs\n51\t\n52\t| 场景 | 用什么 | 原因 |\n53\t| --- | --- | --- |\n54\t| 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n55\t| 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n56\t| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n57\t| 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n58\t| 当前仓库代码/字符串搜索 | 代码搜索工具 | 那是代码库，不是 session 历史 |\n59\t| 当前文件或已知路径阅读 | 文件读取工具 | 不需要走 session 索引 |\n60\t| 外部文档/网页/产品资料 | WebFetch / WebSearch | 不在本机 Codex 历史里 |\n61\t| 今日提交/日报 | commit-daily-summary | 目标是 git，不是 session |\n62\t| 当前会话收尾 | session-wrap | 目标是本轮工作，不是旧对话 |\n63\t\n64\t## 什么时候不要用 cxs\n65\t\n66\t- 用户要搜当前 repo 代码、配置、测试、文档\n67\t- 用户要查外部网站、官方文档、最新信息\n68\t- 用户要总结今天提交、项目日报、当前会话\n69\t- 你已经知道具体 JSONL 文件路径且只需直接读原文\n70\t- 没有 `sessionUuid` 时，不要一上来 `read-page`\n71\t\n72\t## 前置\n73\t\n74\t- 先用 `stats --json` 看 `dbPath`、`lastSyncAt`、`sessionCount`\n75\t- 如果 `stats --json` 提示索引不存在，先跑 `sync`\n76\t- 用户明确说“最近那次”“我刚做过”，但 `lastSyncAt` 很旧或 `find`/`list` 零结果时，先跑 `sync`\n77\t- `sync` 默认严格模式；任一文件失败都会非零退出且不提交半截索引\n78\t- 只有用户接受部分成功时才加 `--best-effort`\n79\t- 从别的 cwd 调用时，若默认 db 不对，显式传 `--db`\n80\t\n81\t## 三步渐进式检索\n82\t\n83\t1. 如果用户给了项目名、cwd、时间窗，先缩范围：\n84\t\n85\t```bash\n86\t\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n87\t```\n88\t\n89\t如果用户说“本项目 / 这个 repo”，把 `<cwd>` 直接换成你当前工作目录路径。\n90\t\n91\t2. 常规入口永远先 `find`，不要冷启 `read-page`：\n92\t\n93\t```bash\n94\t\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n95\t```\n96\t\n97\t先看这些字段：\n98\t\n99\t- `results[].sessionUuid`\n100\t- `results[].matchSource`\n101\t- `results[].matchSeq`\n102\t- `results[].cwd`\n103\t- `results[].startedAt`\n104\t- `results[].matchCount`\n105\t- `results[].summaryText`\n106\t- `results[].snippet`\n107\t\n108\t3. 拿最像的候选做局部扩窗：\n109\t\n110\t```bash\n111\t\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n112\t```\n113\t\n114\t4. 如果你已经锁定某个 session，但想在它内部重定位锚点，用：\n115\t\n116\t```bash\n117\t\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n118\t```\n119\t\n120\t5. 只有在 `read-range` 仍不够时，才升级到整页浏览：\n121\t\n122\t```bash\n123\t\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n124\t```\n125\t\n126\t工作流心法：\n127\t\n128\t- 永远先 `find`，不要直接 `read-page`\n129\t- `matchSource=session` 表示命中来自 title / summary / compact / reasoning summary 等 session-level 字段，且 `matchSeq=null`；这种结果先 `read-page`，不要伪造 `read-range --seq`\n130\t- 升级到 `read-page` 之前，先尝试放大 `--before/--after`\n131\t- 用户给出 `cwd` 或时间窗口时，优先 `list` 缩范围再 `read-range --query`\n132\t- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText`、开头几条 message\n133\t- 同主题可能返回多个不同 `sessionUuid`；按 `cwd`、`startedAt`、`matchCount` 选，不要按 title 脑补去重\n134\t\n135\t## JSON 模式速查\n136\t\n137\t- `find --json`：顶层是 `{ query, results }`；重点看 `sessionUuid`、`matchSource`、`matchSeq`、`summaryText`、`snippet`\n138\t- `read-range --json`：重点看 `anchorSeq`、`rangeStartSeq`、`rangeEndSeq`、`messages[]`\n139\t- `read-page --json`：重点看 `offset`、`limit`、`totalCount`、`hasMore`\n140\t- `list --json`：重点看 `results[].cwd`、`startedAt`、`endedAt`、`messageCount`\n141\t- `stats --json`：重点看 `lastSyncAt`、`dbPath`、`indexVersion`\n142\t- `sync --json`：重点看 `errors`、`errorDetails[]`\n143\t- 完整字段见：`references/json-schema.md`\n144\t\n145\t## 常用排障\n146\t\n147\t| 症状 | 先跑什么 | 怎么处理 |\n148\t| --- | --- | --- |\n149\t| `find` 零结果但用户坚持存在 | `stats --json` | 先看 `lastSyncAt`，必要时 `sync` |\n150\t| `sync` 非零退出 | `sync --json 2>&1` | 看 `errorDetails[]` |\n151\t| `stats/list/find` 报 `database is locked` | 同命令先重试一次 | 还是忙就先跳过 `stats` 直接读 |\n152\t| 同主题出现多条 uuid | `find -n 10 --json` | 按 `cwd`、`startedAt`、`matchCount` 选 |\n153\t| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n154\t| 中文关键词搜不到 | 换至少两字中文或英文关键词 | 详见 `references/failure-cookbook.md#cjk-zero-results` |\n155\t| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围 |\n156\t| 从别的 cwd 调用找不到 db | `stats --json` | 看 `dbPath` 或显式传 `--db` |\n157\t\n158\t## 参考\n159\t\n160\t- `references/cli-surface.md`\n161\t- `references/json-schema.md`\n162\t- `references/progressive-workflow.md`\n163\t- `references/advanced-queries.md`\n164\t- `references/failure-cookbook.md`\n165\t\n166\t# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-22\n167\t"}]},"uuid":"5ae0912e-b91f-4265-a53f-377203e9b58f","timestamp":"2026-04-27T06:06:19.846Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md","content":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'. 不要用于当前仓库代码搜索(Grep)、读当前文件(Read)、外部文档(WebFetch/WebSearch)、今日提交/日报(commit-daily-summary)或当前会话收尾(session-wrap)。\"\n---\n\n# cxs\n\n用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。\n\n## 安装\n\n```bash\nnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n```\n\nCLI install guide: https://github.com/catoncat/cxs#cli-install-guide\n\n这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n\n## 路径前提\n\n这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n\n使用前请满足下面任一条件：\n\n- `cxs` 已经在 `PATH` 里\n- 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`\n\n所有命令默认都写成：\n\n```bash\n\"${CXS_BIN:-cxs}\" <subcommand> ...\n```\n\n使用前先验证命令面确实是 cxs：\n\n```bash\n\"${CXS_BIN:-cxs}\" --version\n\"${CXS_BIN:-cxs}\" --help\n```\n\n如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n\n这样可以同时兼容：\n\n- 你自己安装到 `PATH` 的 `cxs`\n- 本地 checkout 里的 `bin/cxs`\n- 其他自定义路径\n\n## 什么时候用 cxs\n\n| 场景 | 用什么 | 原因 |\n| --- | --- | --- |\n| 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n| 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n| 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n| 当前仓库代码/字符串搜索 | 代码搜索工具 | 那是代码库，不是 session 历史 |\n| 当前文件或已知路径阅读 | 文件读取工具 | 不需要走 session 索引 |\n| 外部文档/网页/产品资料 | WebFetch / WebSearch | 不在本机 Codex 历史里 |\n| 今日提交/日报 | commit-daily-summary | 目标是 git，不是 session |\n| 当前会话收尾 | session-wrap | 目标是本轮工作，不是旧对话 |\n\n## 什么时候不要用 cxs\n\n- 用户要搜当前 repo 代码、配置、测试、文档\n- 用户要查外部网站、官方文档、最新信息\n- 用户要总结今天提交、项目日报、当前会话\n- 你已经知道具体 JSONL 文件路径且只需直接读原文\n- 没有 `sessionUuid` 时，不要一上来 `read-page`\n\n## 前置\n\n- 先用 `stats --json` 看 `dbPath`、`lastSyncAt`、`sessionCount`\n- 如果 `stats --json` 提示索引不存在，先跑 `sync`\n- 用户明确说“最近那次”“我刚做过”，但 `lastSyncAt` 很旧或 `find`/`list` 零结果时，先跑 `sync`\n- `sync` 默认严格模式；任一文件失败都会非零退出且不提交半截索引\n- 只有用户接受部分成功时才加 `--best-effort`\n- 从别的 cwd 调用时，若默认 db 不对，显式传 `--db`\n\n## 三步渐进式检索\n\n1. 如果用户给了项目名、cwd、时间窗，先缩范围：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n```\n\n如果用户说“本项目 / 这个 repo”，把 `<cwd>` 直接换成你当前工作目录路径。\n\n2. 常规入口永远先 `find`，不要冷启 `read-page`：\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n先看这些字段：\n\n- `results[].sessionUuid`\n- `results[].matchSource`\n- `results[].matchSeq`\n- `results[].cwd`\n- `results[].startedAt`\n- `results[].matchCount`\n- `results[].summaryText`\n- `results[].snippet`\n\n3. 拿最像的候选做局部扩窗：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n```\n\n4. 如果你已经锁定某个 session，但想在它内部重定位锚点，用：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n5. 只有在 `read-range` 仍不够时，才升级到整页浏览：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n工作流心法：\n\n- 永远先 `find`，不要直接 `read-page`\n- `matchSource=session` 表示命中来自 title / summary / compact / reasoning summary 等 session-level 字段，且 `matchSeq=null`；这种结果先 `read-page`，不要伪造 `read-range --seq`\n- 升级到 `read-page` 之前，先尝试放大 `--before/--after`\n- 用户给出 `cwd` 或时间窗口时，优先 `list` 缩范围再 `read-range --query`\n- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText`、开头几条 message\n- 同主题可能返回多个不同 `sessionUuid`；按 `cwd`、`startedAt`、`matchCount` 选，不要按 title 脑补去重\n\n## JSON 模式速查\n\n- `find --json`：顶层是 `{ query, results }`；重点看 `sessionUuid`、`matchSource`、`matchSeq`、`summaryText`、`snippet`\n- `read-range --json`：重点看 `anchorSeq`、`rangeStartSeq`、`rangeEndSeq`、`messages[]`\n- `read-page --json`：重点看 `offset`、`limit`、`totalCount`、`hasMore`\n- `list --json`：重点看 `results[].cwd`、`startedAt`、`endedAt`、`messageCount`\n- `stats --json`：重点看 `lastSyncAt`、`dbPath`、`indexVersion`\n- `sync --json`：重点看 `errors`、`errorDetails[]`\n- 完整字段见：`references/json-schema.md`\n\n## 常用排障\n\n| 症状 | 先跑什么 | 怎么处理 |\n| --- | --- | --- |\n| `find` 零结果但用户坚持存在 | `stats --json` | 先看 `lastSyncAt`，必要时 `sync` |\n| `sync` 非零退出 | `sync --json 2>&1` | 看 `errorDetails[]` |\n| `stats/list/find` 报 `database is locked` | 同命令先重试一次 | 还是忙就先跳过 `stats` 直接读 |\n| 同主题出现多条 uuid | `find -n 10 --json` | 按 `cwd`、`startedAt`、`matchCount` 选 |\n| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n| 中文关键词搜不到 | 换至少两字中文或英文关键词 | 详见 `references/failure-cookbook.md#cjk-zero-results` |\n| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围 |\n| 从别的 cwd 调用找不到 db | `stats --json` | 看 `dbPath` 或显式传 `--db` |\n\n## 参考\n\n- `references/cli-surface.md`\n- `references/json-schema.md`\n- `references/progressive-workflow.md`\n- `references/advanced-queries.md`\n- `references/failure-cookbook.md`\n\n# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-22\n","numLines":167,"startLine":1,"totalLines":167}},"sourceToolAssistantUUID":"0f43525b-3e2c-40a8-9dc7-eb9795e093f3","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4114,"cache_read_input_tokens":262763,"output_tokens":3774,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4114},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":3774,"cache_read_input_tokens":262763,"cache_creation_input_tokens":4114,"cache_creation":{"ephemeral_5m_input_tokens":4114,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"4d51ee1b-b268-43d4-a233-06a0e10664ad","timestamp":"2026-04-27T06:06:51.335Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"4d51ee1b-b268-43d4-a233-06a0e10664ad","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01YMrwf4aRN7D7HAXy43a8Ym","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MwZVHoLqHmj1DVN7LwQxYN","name":"Write","input":{"file_path":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md","content":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'. 不要用于当前仓库代码搜索(Grep)、读当前文件(Read)、外部文档(WebFetch/WebSearch)、今日提交/日报(commit-daily-summary)或当前会话收尾(session-wrap)。\"\n---\n\n# cxs\n\n用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。心法:**先定位候选 session,再局部扩上下文,最后才翻全页**——不要冷启动整批 JSONL。\n\n## 安装(两步)\n\n**1. 装 cxs CLI 二进制**(本 skill 不带 binary,只是 agent 工作流):\n\n详见 README 的 [CLI Install Guide](https://github.com/catoncat/cxs#cli-install-guide)。安装后做一次 sanity:\n\n```bash\n\"${CXS_BIN:-cxs}\" --version # 应输出 cxs 版本号\n\"${CXS_BIN:-cxs}\" --help # 应列出 sync/find/read-range/read-page/list/stats/current\n```\n\n如果 `cxs` 不在 PATH 里,设 `export CXS_BIN=/absolute/path/to/bin/cxs`。\n\n**2. 装 skill**:\n\n```bash\n# Codex agent runtime\nnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n\n# Claude Code / Anthropic agent runtime — 把 -a codex 换成对应 runtime,或省略\n```\n\n`-a` 取值依赖目标 agent runtime,**装错 slot 会看不到 skill**。装完通常需要重启 agent / 开新 session。\n\n## 什么时候用 cxs\n\n| 场景 | 起手 | 原因 |\n| --- | --- | --- |\n| 用户问\"之前 / 上次 / 我记得 / 我们讨论过\" | `cxs find` | 先拿 `sessionUuid + matchSeq` |\n| 用户问\"本项目最近的对话\",且不确定是否 sync 过 | `cxs current` | 直读 Codex state DB,零索引依赖 |\n| 用户给项目名 / cwd / 时间窗,且 cxs 已 sync | `cxs list --cwd ... --since ...` | cwd/since 缩范围比全文搜更稳 |\n| 已锁定某 session,需要局部上下文 | `cxs read-range --seq` 或 `--query` | 局部扩窗,不冷启 `read-page` |\n\n**反例**(应该用别的工具):\n\n- 当前 repo 代码/字符串搜索 → 代码搜索工具\n- 当前文件或已知路径阅读 → 文件读取工具\n- 外部文档/网页 → WebFetch / WebSearch\n- 今日提交/日报 → `commit-daily-summary`\n- 当前会话收尾 → `session-wrap`\n\n## 工作流心法\n\n- **find → read-range → read-page**:永远先 `find` 拿候选,不要冷启 `read-page`\n- `matchSource = \"session\"` 时 `matchSeq = null`;这种命中先 `read-page` 抽样,**不要伪造 `read-range --seq`**\n- 用户给 cwd 但不确定 sync 状态 → `current`(零索引依赖);cxs 已 sync → `list`(全索引)\n- `cwd` 只是候选过滤,不是主题真相;还要再看 `title`、`summaryText`、开头几条 message\n- 同主题可能多个 uuid;按 `cwd / startedAt / matchCount` 选,不要按 title 脑补去重\n\n## 前置\n\n- 先 `stats --json` 看 `dbPath / lastSyncAt / sessionCount`\n- 索引不存在或 `lastSyncAt` 很旧 → `sync`(默认严格模式;只有用户接受部分成功才加 `--best-effort`)\n- `current` 不依赖 cxs 索引,即使 sync 没跑过也能用\n- 从别的 cwd 调用时,若默认 db 不对,显式传 `--db`\n\n## 参考\n\n详细命令面、字段、流程、错误处理:\n\n- [`references/cli-surface.md`](references/cli-surface.md) — 每个子命令的 options + Example\n- [`references/progressive-workflow.md`](references/progressive-workflow.md) — 4 个 worked scenarios\n- [`references/json-schema.md`](references/json-schema.md) — 完整 JSON 字段\n- [`references/failure-cookbook.md`](references/failure-cookbook.md) — 错误症状速查 / state_db_unavailable 处理 / `--json` error shape 速查\n- [`references/advanced-queries.md`](references/advanced-queries.md) — query 语义 / CJK 行为 / snippet 高亮\n\n# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-27\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4114,"cache_read_input_tokens":262763,"output_tokens":3774,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4114},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":3774,"cache_read_input_tokens":262763,"cache_creation_input_tokens":4114,"cache_creation":{"ephemeral_5m_input_tokens":4114,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"b7c34d84-a5b6-45af-978c-e0279c114fab","timestamp":"2026-04-27T06:07:06.111Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"b7c34d84-a5b6-45af-978c-e0279c114fab","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Write","toolUseID":"toolu_01MwZVHoLqHmj1DVN7LwQxYN","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"32fcef30-e056-46dc-8268-9410ce54b4b1","timestamp":"2026-04-27T06:07:06.146Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"b7c34d84-a5b6-45af-978c-e0279c114fab","isSidechain":false,"promptId":"98e472a0-1076-4c60-bf47-2df8b9076317","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MwZVHoLqHmj1DVN7LwQxYN","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md has been updated successfully."}]},"uuid":"9bd5b3c4-9d66-4ab5-8c8d-f57b37271e8b","timestamp":"2026-04-27T06:07:06.161Z","toolUseResult":{"type":"update","filePath":"/Users/envvar/work/repos/cxs/.agents/skills/cxs/SKILL.md","content":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'. 不要用于当前仓库代码搜索(Grep)、读当前文件(Read)、外部文档(WebFetch/WebSearch)、今日提交/日报(commit-daily-summary)或当前会话收尾(session-wrap)。\"\n---\n\n# cxs\n\n用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。心法:**先定位候选 session,再局部扩上下文,最后才翻全页**——不要冷启动整批 JSONL。\n\n## 安装(两步)\n\n**1. 装 cxs CLI 二进制**(本 skill 不带 binary,只是 agent 工作流):\n\n详见 README 的 [CLI Install Guide](https://github.com/catoncat/cxs#cli-install-guide)。安装后做一次 sanity:\n\n```bash\n\"${CXS_BIN:-cxs}\" --version # 应输出 cxs 版本号\n\"${CXS_BIN:-cxs}\" --help # 应列出 sync/find/read-range/read-page/list/stats/current\n```\n\n如果 `cxs` 不在 PATH 里,设 `export CXS_BIN=/absolute/path/to/bin/cxs`。\n\n**2. 装 skill**:\n\n```bash\n# Codex agent runtime\nnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n\n# Claude Code / Anthropic agent runtime — 把 -a codex 换成对应 runtime,或省略\n```\n\n`-a` 取值依赖目标 agent runtime,**装错 slot 会看不到 skill**。装完通常需要重启 agent / 开新 session。\n\n## 什么时候用 cxs\n\n| 场景 | 起手 | 原因 |\n| --- | --- | --- |\n| 用户问\"之前 / 上次 / 我记得 / 我们讨论过\" | `cxs find` | 先拿 `sessionUuid + matchSeq` |\n| 用户问\"本项目最近的对话\",且不确定是否 sync 过 | `cxs current` | 直读 Codex state DB,零索引依赖 |\n| 用户给项目名 / cwd / 时间窗,且 cxs 已 sync | `cxs list --cwd ... --since ...` | cwd/since 缩范围比全文搜更稳 |\n| 已锁定某 session,需要局部上下文 | `cxs read-range --seq` 或 `--query` | 局部扩窗,不冷启 `read-page` |\n\n**反例**(应该用别的工具):\n\n- 当前 repo 代码/字符串搜索 → 代码搜索工具\n- 当前文件或已知路径阅读 → 文件读取工具\n- 外部文档/网页 → WebFetch / WebSearch\n- 今日提交/日报 → `commit-daily-summary`\n- 当前会话收尾 → `session-wrap`\n\n## 工作流心法\n\n- **find → read-range → read-page**:永远先 `find` 拿候选,不要冷启 `read-page`\n- `matchSource = \"session\"` 时 `matchSeq = null`;这种命中先 `read-page` 抽样,**不要伪造 `read-range --seq`**\n- 用户给 cwd 但不确定 sync 状态 → `current`(零索引依赖);cxs 已 sync → `list`(全索引)\n- `cwd` 只是候选过滤,不是主题真相;还要再看 `title`、`summaryText`、开头几条 message\n- 同主题可能多个 uuid;按 `cwd / startedAt / matchCount` 选,不要按 title 脑补去重\n\n## 前置\n\n- 先 `stats --json` 看 `dbPath / lastSyncAt / sessionCount`\n- 索引不存在或 `lastSyncAt` 很旧 → `sync`(默认严格模式;只有用户接受部分成功才加 `--best-effort`)\n- `current` 不依赖 cxs 索引,即使 sync 没跑过也能用\n- 从别的 cwd 调用时,若默认 db 不对,显式传 `--db`\n\n## 参考\n\n详细命令面、字段、流程、错误处理:\n\n- [`references/cli-surface.md`](references/cli-surface.md) — 每个子命令的 options + Example\n- [`references/progressive-workflow.md`](references/progressive-workflow.md) — 4 个 worked scenarios\n- [`references/json-schema.md`](references/json-schema.md) — 完整 JSON 字段\n- [`references/failure-cookbook.md`](references/failure-cookbook.md) — 错误症状速查 / state_db_unavailable 处理 / `--json` error shape 速查\n- [`references/advanced-queries.md`](references/advanced-queries.md) — query 语义 / CJK 行为 / snippet 高亮\n\n# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-27\n","structuredPatch":[{"oldStart":5,"oldLines":162,"newStart":5,"newLines":72,"lines":[" "," # cxs"," ","-用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。","+用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。心法:**先定位候选 session,再局部扩上下文,最后才翻全页**——不要冷启动整批 JSONL。"," ","-## 安装","+## 安装(两步)"," ","-```bash","-npx skills add catoncat/cxs --skill cxs -g -a codex -y","-```","+**1. 装 cxs CLI 二进制**(本 skill 不带 binary,只是 agent 工作流):"," ","-CLI install guide: https://github.com/catoncat/cxs#cli-install-guide","+详见 README 的 [CLI Install Guide](https://github.com/catoncat/cxs#cli-install-guide)。安装后做一次 sanity:"," ","-这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。","-","-## 路径前提","-","-这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。","-","-使用前请满足下面任一条件：","-","-- `cxs` 已经在 `PATH` 里","-- 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`","-","-所有命令默认都写成：","-"," ```bash","-\"${CXS_BIN:-cxs}\" <subcommand> ...","+\"${CXS_BIN:-cxs}\" --version # 应输出 cxs 版本号","+\"${CXS_BIN:-cxs}\" --help # 应列出 sync/find/read-range/read-page/list/stats/current"," ```"," ","-使用前先验证命令面确实是 cxs：","+如果 `cxs` 不在 PATH 里,设 `export CXS_BIN=/absolute/path/to/bin/cxs`。"," ","+**2. 装 skill**:","+"," ```bash","-\"${CXS_BIN:-cxs}\" --version","-\"${CXS_BIN:-cxs}\" --help","+# Codex agent runtime","+npx skills add catoncat/cxs --skill cxs -g -a codex -y","+","+# Claude Code / Anthropic agent runtime — 把 -a codex 换成对应 runtime,或省略"," ```"," ","-如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。","+`-a` 取值依赖目标 agent runtime,**装错 slot 会看不到 skill**。装完通常需要重启 agent / 开新 session。"," ","-这样可以同时兼容：","-","-- 你自己安装到 `PATH` 的 `cxs`","-- 本地 checkout 里的 `bin/cxs`","-- 其他自定义路径","-"," ## 什么时候用 cxs"," ","-| 场景 | 用什么 | 原因 |","+| 场景 | 起手 | 原因 |"," | --- | --- | --- |","-| 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |","-| 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |","-| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |","-| 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |","-| 当前仓库代码/字符串搜索 | 代码搜索工具 | 那是代码库，不是 session 历史 |","-| 当前文件或已知路径阅读 | 文件读取工具 | 不需要走 session 索引 |","-| 外部文档/网页/产品资料 | WebFetch / WebSearch | 不在本机 Codex 历史里 |","-| 今日提交/日报 | commit-daily-summary | 目标是 git，不是 session |","-| 当前会话收尾 | session-wrap | 目标是本轮工作，不是旧对话 |","+| 用户问\"之前 / 上次 / 我记得 / 我们讨论过\" | `cxs find` | 先拿 `sessionUuid + matchSeq` |","+| 用户问\"本项目最近的对话\",且不确定是否 sync 过 | `cxs current` | 直读 Codex state DB,零索引依赖 |","+| 用户给项目名 / cwd / 时间窗,且 cxs 已 sync | `cxs list --cwd ... --since ...` | cwd/since 缩范围比全文搜更稳 |","+| 已锁定某 session,需要局部上下文 | `cxs read-range --seq` 或 `--query` | 局部扩窗,不冷启 `read-page` |"," ","-## 什么时候不要用 cxs","+**反例**(应该用别的工具):"," ","-- 用户要搜当前 repo 代码、配置、测试、文档","-- 用户要查外部网站、官方文档、最新信息","-- 用户要总结今天提交、项目日报、当前会话","-- 你已经知道具体 JSONL 文件路径且只需直接读原文","-- 没有 `sessionUuid` 时，不要一上来 `read-page`","+- 当前 repo 代码/字符串搜索 → 代码搜索工具","+- 当前文件或已知路径阅读 → 文件读取工具","+- 外部文档/网页 → WebFetch / WebSearch","+- 今日提交/日报 → `commit-daily-summary`","+- 当前会话收尾 → `session-wrap`"," ","-## 前置","+## 工作流心法"," ","-- 先用 `stats --json` 看 `dbPath`、`lastSyncAt`、`sessionCount`","-- 如果 `stats --json` 提示索引不存在，先跑 `sync`","-- 用户明确说“最近那次”“我刚做过”，但 `lastSyncAt` 很旧或 `find`/`list` 零结果时，先跑 `sync`","-- `sync` 默认严格模式；任一文件失败都会非零退出且不提交半截索引","-- 只有用户接受部分成功时才加 `--best-effort`","-- 从别的 cwd 调用时，若默认 db 不对，显式传 `--db`","+- **find → read-range → read-page**:永远先 `find` 拿候选,不要冷启 `read-page`","+- `matchSource = \"session\"` 时 `matchSeq = null`;这种命中先 `read-page` 抽样,**不要伪造 `read-range --seq`**","+- 用户给 cwd 但不确定 sync 状态 → `current`(零索引依赖);cxs 已 sync → `list`(全索引)","+- `cwd` 只是候选过滤,不是主题真相;还要再看 `title`、`summaryText`、开头几条 message","+- 同主题可能多个 uuid;按 `cwd / startedAt / matchCount` 选,不要按 title 脑补去重"," ","-## 三步渐进式检索","+## 前置"," ","-1. 如果用户给了项目名、cwd、时间窗，先缩范围：","+- 先 `stats --json` 看 `dbPath / lastSyncAt / sessionCount`","+- 索引不存在或 `lastSyncAt` 很旧 → `sync`(默认严格模式;只有用户接受部分成功才加 `--best-effort`)","+- `current` 不依赖 cxs 索引,即使 sync 没跑过也能用","+- 从别的 cwd 调用时,若默认 db 不对,显式传 `--db`"," ","-```bash","-\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json","-```","-","-如果用户说“本项目 / 这个 repo”，把 `<cwd>` 直接换成你当前工作目录路径。","-","-2. 常规入口永远先 `find`，不要冷启 `read-page`：","-","-```bash","-\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5","-```","-","-先看这些字段：","-","-- `results[].sessionUuid`","-- `results[].matchSource`","-- `results[].matchSeq`","-- `results[].cwd`","-- `results[].startedAt`","-- `results[].matchCount`","-- `results[].summaryText`","-- `results[].snippet`","-","-3. 拿最像的候选做局部扩窗：","-","-```bash","-\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json","-```","-","-4. 如果你已经锁定某个 session，但想在它内部重定位锚点，用：","-","-```bash","-\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json","-```","-","-5. 只有在 `read-range` 仍不够时，才升级到整页浏览：","-","-```bash","-\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json","-```","-","-工作流心法：","-","-- 永远先 `find`，不要直接 `read-page`","-- `matchSource=session` 表示命中来自 title / summary / compact / reasoning summary 等 session-level 字段，且 `matchSeq=null`；这种结果先 `read-page`，不要伪造 `read-range --seq`","-- 升级到 `read-page` 之前，先尝试放大 `--before/--after`","-- 用户给出 `cwd` 或时间窗口时，优先 `list` 缩范围再 `read-range --query`","-- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText`、开头几条 message","-- 同主题可能返回多个不同 `sessionUuid`；按 `cwd`、`startedAt`、`matchCount` 选，不要按 title 脑补去重","-","-## JSON 模式速查","-","-- `find --json`：顶层是 `{ query, results }`；重点看 `sessionUuid`、`matchSource`、`matchSeq`、`summaryText`、`snippet`","-- `read-range --json`：重点看 `anchorSeq`、`rangeStartSeq`、`rangeEndSeq`、`messages[]`","-- `read-page --json`：重点看 `offset`、`limit`、`totalCount`、`hasMore`","-- `list --json`：重点看 `results[].cwd`、`startedAt`、`endedAt`、`messageCount`","-- `stats --json`：重点看 `lastSyncAt`、`dbPath`、`indexVersion`","-- `sync --json`：重点看 `errors`、`errorDetails[]`","-- 完整字段见：`references/json-schema.md`","-","-## 常用排障","-","-| 症状 | 先跑什么 | 怎么处理 |","-| --- | --- | --- |","-| `find` 零结果但用户坚持存在 | `stats --json` | 先看 `lastSyncAt`，必要时 `sync` |","-| `sync` 非零退出 | `sync --json 2>&1` | 看 `errorDetails[]` |","-| `stats/list/find` 报 `database is locked` | 同命令先重试一次 | 还是忙就先跳过 `stats` 直接读 |","-| 同主题出现多条 uuid | `find -n 10 --json` | 按 `cwd`、`startedAt`、`matchCount` 选 |","-| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |","-| 中文关键词搜不到 | 换至少两字中文或英文关键词 | 详见 `references/failure-cookbook.md#cjk-zero-results` |","-| 用户说“在 X 项目里” | `list --cwd X --json` | 先按 cwd 缩范围 |","-| 从别的 cwd 调用找不到 db | `stats --json` | 看 `dbPath` 或显式传 `--db` |","-"," ## 参考"," ","-- `references/cli-surface.md`","-- `references/json-schema.md`","-- `references/progressive-workflow.md`","-- `references/advanced-queries.md`","-- `references/failure-cookbook.md`","+详细命令面、字段、流程、错误处理:"," ","-# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-22","+- [`references/cli-surface.md`](references/cli-surface.md) — 每个子命令的 options + Example","+- [`references/progressive-workflow.md`](references/progressive-workflow.md) — 4 个 worked scenarios","+- [`references/json-schema.md`](references/json-schema.md) — 完整 JSON 字段","+- [`references/failure-cookbook.md`](references/failure-cookbook.md) — 错误症状速查 / state_db_unavailable 处理 / `--json` error shape 速查","+- [`references/advanced-queries.md`](references/advanced-queries.md) — query 语义 / CJK 行为 / snippet 高亮","+","+# skill-sync: repo-shared cxs skill, PATH-or-CXS_BIN mode, 2026-04-27"]}],"originalFile":"---\nname: cxs\ndescription: \"用于用户要找本机 Codex 历史会话或 ~/.codex/sessions 上下文:之前、上次、前几天、昨天、我记得我配过、我试过、我们讨论过、翻旧 session、找那次命令、历史对话、Codex 历史、session 历史。Also triggers on English: 'last time I', 'earlier session', 'did we already', 'I remember configuring', 'previous codex chat', 'search my codex history'. 不要用于当前仓库代码搜索(Grep)、读当前文件(Read)、外部文档(WebFetch/WebSearch)、今日提交/日报(commit-daily-summary)或当前会话收尾(session-wrap)。\"\n---\n\n# cxs\n\n用 `cxs` 在 `~/.codex/sessions` 里检索旧 Codex 对话。目标是先定位候选 session，再局部扩上下文，最后才翻全页，不要冷启动整批 JSONL。\n\n## 安装\n\n```bash\nnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n```\n\nCLI install guide: https://github.com/catoncat/cxs#cli-install-guide\n\n这个 skill 只提供 agent 工作流，不安装 `cxs` CLI 本体。若用户询问安装方式，指向 README 的 CLI install guide，并提醒安装或更新 skill 后需要重启 Codex / 开新 session。\n\n## 路径前提\n\n这个 skill 只包含说明和参考资料，不会把 `cxs` CLI 二进制一起装进你的系统。\n\n使用前请满足下面任一条件：\n\n- `cxs` 已经在 `PATH` 里\n- 或设置了 `CXS_BIN=/absolute/path/to/bin/cxs`\n\n所有命令默认都写成：\n\n```bash\n\"${CXS_BIN:-cxs}\" <subcommand> ...\n```\n\n使用前先验证命令面确实是 cxs：\n\n```bash\n\"${CXS_BIN:-cxs}\" --version\n\"${CXS_BIN:-cxs}\" --help\n```\n\n如果 `--version` 没有输出 cxs 版本，或 `--help` 没有列出 `sync/find/read-range/read-page/list/stats/current`，不要继续猜；改用 `CXS_BIN=/absolute/path/to/bin/cxs`，或先让用户完成 CLI install guide。\n\n这样可以同时兼容：\n\n- 你自己安装到 `PATH` 的 `cxs`\n- 本地 checkout 里的 `bin/cxs`\n- 其他自定义路径\n\n## 什么时候用 cxs\n\n| 场景 | 用什么 | 原因 |\n| --- | --- | --- |\n| 用户问“之前 / 上次 / 我记得 / 我们讨论过” | `cxs` | 目标是历史 session，不是当前 repo |\n| 用户给了旧项目名、cwd、时间窗口 | `cxs list` 起手 | 先按 `cwd/since` 缩范围比全文搜更稳 |\n| 用户问“最近本项目 / 这个 repo 做过什么讨论” | `cxs list --cwd <current-repo>` 起手 | 先圈出当前 repo 里的候选 session，再做主题判定 |\n| 用户记得某个旧命令、旧报错、旧方案关键词 | `cxs find` 起手 | 先拿 `sessionUuid + matchSeq` |\n| 当前仓库代码/字符串搜索 | 代码搜索工具 | 那是代码库，不是 session 历史 |\n| 当前文件或已知路径阅读 | 文件读取工具 | 不需要走 session 索引 |\n| 外部文档/网页/产品资料 | WebFetch / WebSearch | 不在本机 Codex 历史里 |\n| 今日提交/日报 | commit-daily-summary | 目标是 git，不是 session |\n| 当前会话收尾 | session-wrap | 目标是本轮工作，不是旧对话 |\n\n## 什么时候不要用 cxs\n\n- 用户要搜当前 repo 代码、配置、测试、文档\n- 用户要查外部网站、官方文档、最新信息\n- 用户要总结今天提交、项目日报、当前会话\n- 你已经知道具体 JSONL 文件路径且只需直接读原文\n- 没有 `sessionUuid` 时，不要一上来 `read-page`\n\n## 前置\n\n- 先用 `stats --json` 看 `dbPath`、`lastSyncAt`、`sessionCount`\n- 如果 `stats --json` 提示索引不存在，先跑 `sync`\n- 用户明确说“最近那次”“我刚做过”，但 `lastSyncAt` 很旧或 `find`/`list` 零结果时，先跑 `sync`\n- `sync` 默认严格模式；任一文件失败都会非零退出且不提交半截索引\n- 只有用户接受部分成功时才加 `--best-effort`\n- 从别的 cwd 调用时，若默认 db 不对，显式传 `--db`\n\n## 三步渐进式检索\n\n1. 如果用户给了项目名、cwd、时间窗，先缩范围：\n\n```bash\n\"${CXS_BIN:-cxs}\" list --cwd hammerspoon --since 2026-04-15 --json\n```\n\n如果用户说“本项目 / 这个 repo”，把 `<cwd>` 直接换成你当前工作目录路径。\n\n2. 常规入口永远先 `find`，不要冷启 `read-page`：\n\n```bash\n\"${CXS_BIN:-cxs}\" find \"cf tunnel\" --json -n 5\n```\n\n先看这些字段：\n\n- `results[].sessionUuid`\n- `results[].matchSource`\n- `results[].matchSeq`\n- `results[].cwd`\n- `results[].startedAt`\n- `results[].matchCount`\n- `results[].summaryText`\n- `results[].snippet`\n\n3. 拿最像的候选做局部扩窗：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --seq <matchSeq> --before 4 --after 8 --json\n```\n\n4. 如果你已经锁定某个 session，但想在它内部重定位锚点，用：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-range <sessionUuid> --query \"IME\" --before 4 --after 8 --json\n```\n\n5. 只有在 `read-range` 仍不够时，才升级到整页浏览：\n\n```bash\n\"${CXS_BIN:-cxs}\" read-page <sessionUuid> --offset 0 --limit 40 --json\n```\n\n工作流心法：\n\n- 永远先 `find`，不要直接 `read-page`\n- `matchSource=session` 表示命中来自 title / summary / compact / reasoning summary 等 session-level 字段，且 `matchSeq=null`；这种结果先 `read-page`，不要伪造 `read-range --seq`\n- 升级到 `read-page` 之前，先尝试放大 `--before/--after`\n- 用户给出 `cwd` 或时间窗口时，优先 `list` 缩范围再 `read-range --query`\n- `cwd` 只是候选过滤，不是主题真相；还要再看 `title`、`summaryText`、开头几条 message\n- 同主题可能返回多个不同 `sessionUuid`；按 `cwd`、`startedAt`、`matchCount` 选，不要按 title 脑补去重\n\n## JSON 模式速查\n\n- `find --json`：顶层是 `{ query, results }`；重点看 `sessionUuid`、`matchSource`、`matchSeq`、`summaryText`、`snippet`\n- `read-range --json`：重点看 `anchorSeq`、`rangeStartSeq`、`rangeEndSeq`、`messages[]`\n- `read-page --json`：重点看 `offset`、`limit`、`totalCount`、`hasMore`\n- `list --json`：重点看 `results[].cwd`、`startedAt`、`endedAt`、`messageCount`\n- `stats --json`：重点看 `lastSyncAt`、`dbPath`、`indexVersion`\n- `sync --json`：重点看 `errors`、`errorDetails[]`\n- 完整字段见：`references/json-schema.md`\n\n## 常用排障\n\n| 症状 | 先跑什么 | 怎么处理 |\n| --- | --- | --- |\n| `find` 零结果但用户坚持存在 | `stats --json` | 先看 `lastSyncAt`，必要时 `sync` |\n| `sync` 非零退出 | `sync --json 2>&1` | 看 `errorDetails[]` |\n| `stats/list/find` 报 `database is locked` | 同命令先重试一次 | 还是忙就先跳过 `stats` 直接读 |\n| 同主题出现多条 uuid | `find -n 10 --json` | 按 `cwd`、`startedAt`、`matchCount` 选 |\n| 用户问“最近本项目讨论了什么” | `list --cwd <current-repo> --sort ended --json` | `cwd` 只先圈候选，再抽样确认主题 |\n| 中文关键词搜不到 | 换至少两字中文或英文关键词 | 详见 `references/failure-cookbook.md#cjk-zero-results` 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{"parentUuid":"1467f007-7f24-4ac6-986c-469b8f7b9294","isSidechain":false,"promptId":"c52037b7-6bde-4804-b2aa-417500abf713","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SgJcosuqH7LZAEKNrUMxM5","type":"tool_result","content":"removed 3 packages in 239ms\nnpm notice total files: 23\nnpm notice\ncxs-0.1.0.tgz\npackage/cli.ts\npackage/db.ts\npackage/env.ts\npackage/format.ts\npackage/indexer.ts\npackage/parser.ts\npackage/query.ts\npackage/ranking.ts\npackage/sync-lock.ts\npackage/tokenize.ts\npackage/types.ts\n[rerun: b37]","is_error":false}]},"uuid":"5e4f8d80-53be-4292-a87a-5837c54b9574","timestamp":"2026-04-27T06:15:11.872Z","toolUseResult":{"stdout":"removed 3 packages in 239ms\nnpm notice total files: 23\nnpm notice\ncxs-0.1.0.tgz\npackage/cli.ts\npackage/db.ts\npackage/env.ts\npackage/format.ts\npackage/indexer.ts\npackage/parser.ts\npackage/query.ts\npackage/ranking.ts\npackage/sync-lock.ts\npackage/tokenize.ts\npackage/types.ts","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1467f007-7f24-4ac6-986c-469b8f7b9294","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
903
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{"parentUuid":"5e4f8d80-53be-4292-a87a-5837c54b9574","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01LbmwrJiEz1W6NGnV9iUrWN","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EoECClkIDRgCKkBKM/AHCsRTiTx037qQmHuLo1F1+XwqXiXif5zaeZp10duRZ9j7Rmk3Gwc7pt89XUH9PD6n77491SZFBl+LmyDdMg9jbGF1ZGUtb3B1cy00LTc4ABIMLtJf/a0iFWWxRTCdGgyk8q9U39m4fhws1bgiMNHk7QT8siEkECzsjOoaNriEDKqK7SupGWBorI3TmlhkXyH6QrchK6zz3BR1Cv+oGSpWMcAPYf+VL4LWaf8cbYNiUuXF69tqVJbdBtCCF+mXUQwFFwtvYjf1Lom5JfLIri+5U+3YU4+Jd4wRURb3N7NLad25tE38itMXK//ZsGwZwyyJRyEbmjQYAQ=="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":824,"cache_read_input_tokens":280459,"output_tokens":264,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":824},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":264,"cache_read_input_tokens":280459,"cache_creation_input_tokens":824,"cache_creation":{"ephemeral_5m_input_tokens":824,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"baba2587-c41d-462d-b383-304e5aba7420","timestamp":"2026-04-27T06:15:20.474Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
904
+
{"parentUuid":"baba2587-c41d-462d-b383-304e5aba7420","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01LbmwrJiEz1W6NGnV9iUrWN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J219kEzzvY9oNjKKNVUvy2","name":"Bash","input":{"command":"npm i -g --prefix /tmp/cxs-npm-test ./cxs-0.1.0.tgz 2>&1 | tail -2 && echo \"---version---\" && /tmp/cxs-npm-test/bin/cxs --version && echo \"---help---\" && /tmp/cxs-npm-test/bin/cxs --help 2>&1 | head -15","description":"Re-install and smoke test"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":824,"cache_read_input_tokens":280459,"output_tokens":264,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":824},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":264,"cache_read_input_tokens":280459,"cache_creation_input_tokens":824,"cache_creation":{"ephemeral_5m_input_tokens":824,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c2a18d41-10d3-4239-bff5-44ec9564fa87","timestamp":"2026-04-27T06:15:23.241Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
905
+
{"parentUuid":"c2a18d41-10d3-4239-bff5-44ec9564fa87","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01J219kEzzvY9oNjKKNVUvy2","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"d4d2bcaa-23af-4dd4-8460-fbe00e1178ff","timestamp":"2026-04-27T06:15:23.251Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
906
+
{"parentUuid":"c2a18d41-10d3-4239-bff5-44ec9564fa87","isSidechain":false,"promptId":"c52037b7-6bde-4804-b2aa-417500abf713","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J219kEzzvY9oNjKKNVUvy2","type":"tool_result","content":"added 3 packages in 238ms\n---version---\n0.1.0\n---help---\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n\nOptions:\n -V, --version output the version number\n -h, --help display help for command\n\nCommands:\n current [options] 按 cwd 返回当前候选 session，不做全文检索\n sync [options] 扫描并同步本地 Codex sessions 到 SQLite 索引\n find [options] <query> 搜索相关 session，返回最小必要命中\n read-range [options] <sessionUuid> 围绕命中点读取局部上下文；必须显式传 session_uuid\n read-page [options] <sessionUuid> 顺序分页读取某个 session 的消息\n list [options] 列出已索引的 session（不做全文检索）\n[rerun: b38]","is_error":false}]},"uuid":"e6c30e6a-df98-45f4-8e8a-38efe207b272","timestamp":"2026-04-27T06:15:24.609Z","toolUseResult":{"stdout":"added 3 packages in 238ms\n---version---\n0.1.0\n---help---\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n\nOptions:\n -V, --version output the version number\n -h, --help display help for command\n\nCommands:\n current [options] 按 cwd 返回当前候选 session，不做全文检索\n sync [options] 扫描并同步本地 Codex sessions 到 SQLite 索引\n find [options] <query> 搜索相关 session，返回最小必要命中\n read-range [options] <sessionUuid> 围绕命中点读取局部上下文；必须显式传 session_uuid\n read-page [options] <sessionUuid> 顺序分页读取某个 session 的消息\n list [options] 列出已索引的 session（不做全文检索）","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c2a18d41-10d3-4239-bff5-44ec9564fa87","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
907
+
{"parentUuid":"e6c30e6a-df98-45f4-8e8a-38efe207b272","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_014JqkwXmkjxpKFQMnsAB7LT","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":281283,"output_tokens":824,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":564},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":824,"cache_read_input_tokens":281283,"cache_creation_input_tokens":564,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d4f3257e-abbb-4cf0-bc30-65dd41104ed7","timestamp":"2026-04-27T06:15:32.956Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
908
+
{"parentUuid":"d4f3257e-abbb-4cf0-bc30-65dd41104ed7","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_014JqkwXmkjxpKFQMnsAB7LT","type":"message","role":"assistant","content":[{"type":"text","text":"Help 全 OK,7 个子命令都列出来。再测几个真实命令路径,确保模块解析全在 npm 全局装下也工作。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":281283,"output_tokens":824,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":564},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":824,"cache_read_input_tokens":281283,"cache_creation_input_tokens":564,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"0c3cfc68-2174-4fa0-9c14-fecf98307fd0","timestamp":"2026-04-27T06:15:34.263Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
909
+
{"parentUuid":"0c3cfc68-2174-4fa0-9c14-fecf98307fd0","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_014JqkwXmkjxpKFQMnsAB7LT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01S2hn9XuzzhyKfVdS952Adg","name":"Bash","input":{"command":"echo \"=== current with bad state-db (expect structured error) ===\" && /tmp/cxs-npm-test/bin/cxs current --state-db /tmp/cxs-no-such.db --json; echo \"(exit $?)\"; echo \"\"; echo \"=== sync into isolated db ===\" && mkdir -p /tmp/cxs-test-sessions && /tmp/cxs-npm-test/bin/cxs sync --root /tmp/cxs-test-sessions --db /tmp/cxs-test-index.sqlite --json; echo \"(exit $?)\"; echo \"\"; echo \"=== stats ===\" && /tmp/cxs-npm-test/bin/cxs stats --db /tmp/cxs-test-index.sqlite --json; echo \"(exit $?)\"; echo \"\"; echo \"=== find on empty index ===\" && /tmp/cxs-npm-test/bin/cxs find foo --db /tmp/cxs-test-index.sqlite --json; echo \"(exit $?)\"","description":"End-to-end smoke on key commands via globally installed cxs"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":281283,"output_tokens":824,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":564},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":824,"cache_read_input_tokens":281283,"cache_creation_input_tokens":564,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"159fa67b-c75b-4c74-ab28-af064e726f53","timestamp":"2026-04-27T06:15:37.389Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
910
+
{"type":"last-prompt","lastPrompt":"实测一下","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
911
+
{"type":"custom-title","customTitle":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
912
+
{"type":"agent-name","agentName":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
913
+
{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
914
+
{"parentUuid":"159fa67b-c75b-4c74-ab28-af064e726f53","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01S2hn9XuzzhyKfVdS952Adg","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"d51dc150-26dc-4587-8457-87775956d293","timestamp":"2026-04-27T06:15:37.403Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
915
+
{"parentUuid":"159fa67b-c75b-4c74-ab28-af064e726f53","isSidechain":false,"promptId":"c52037b7-6bde-4804-b2aa-417500abf713","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S2hn9XuzzhyKfVdS952Adg","type":"tool_result","content":"=== current with bad state-db (expect structured error) ===\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/cxs-no-such.db\"\n }\n}\n(exit 1)\n\n=== sync into isolated db ===\n{\n \"scanned\": 0,\n \"added\": 0,\n \"updated\": 0,\n \"skipped\": 0,\n \"filtered\": 0,\n \"errors\": 0,\n \"errorDetails\": []\n}\n(exit 0)\n\n=== stats ===\n{\n \"sessionCount\": 0,\n \"messageCount\": 0,\n \"earliestStartedAt\": null,\n \"latestEndedAt\": null,\n \"topCwds\": [],\n \"indexVersion\": \"cxs-v5-session-field-weights\",\n \"dbPath\": \"/tmp/cxs-test-index.sqlite\",\n \"dbSizeBytes\": 77824,\n \"lastSyncAt\": null\n}\n(exit 0)\n\n=== find on empty index ===\n{\n \"query\": \"foo\",\n \"results\": []\n}\n(exit 0)\n[rerun: b39]","is_error":false}]},"uuid":"1e303c5d-ca55-494f-8739-503bfeb76939","timestamp":"2026-04-27T06:15:37.664Z","toolUseResult":{"stdout":"=== current with bad state-db (expect structured error) ===\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/cxs-no-such.db\"\n }\n}\n(exit 1)\n\n=== sync into isolated db ===\n{\n \"scanned\": 0,\n \"added\": 0,\n \"updated\": 0,\n \"skipped\": 0,\n \"filtered\": 0,\n \"errors\": 0,\n \"errorDetails\": []\n}\n(exit 0)\n\n=== stats ===\n{\n \"sessionCount\": 0,\n \"messageCount\": 0,\n \"earliestStartedAt\": null,\n \"latestEndedAt\": null,\n \"topCwds\": [],\n \"indexVersion\": \"cxs-v5-session-field-weights\",\n \"dbPath\": \"/tmp/cxs-test-index.sqlite\",\n \"dbSizeBytes\": 77824,\n \"lastSyncAt\": null\n}\n(exit 0)\n\n=== find on empty index ===\n{\n \"query\": \"foo\",\n \"results\": []\n}\n(exit 0)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"159fa67b-c75b-4c74-ab28-af064e726f53","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
916
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{"parentUuid":"1e303c5d-ca55-494f-8739-503bfeb76939","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_0151dRkv9ebDYk35JpLSkScS","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1206,"cache_read_input_tokens":281847,"output_tokens":1061,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1206},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1061,"cache_read_input_tokens":281847,"cache_creation_input_tokens":1206,"cache_creation":{"ephemeral_5m_input_tokens":1206,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"aaf11e21-0cd6-4131-9e48-e717cb22890e","timestamp":"2026-04-27T06:15:47.306Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
917
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{"parentUuid":"aaf11e21-0cd6-4131-9e48-e717cb22890e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_0151dRkv9ebDYk35JpLSkScS","type":"message","role":"assistant","content":[{"type":"text","text":"全套关键路径在 `npm i -g` 装出来的全局 binary 下都跑通。Cleanup + commit fix。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1206,"cache_read_input_tokens":281847,"output_tokens":1061,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1206},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1061,"cache_read_input_tokens":281847,"cache_creation_input_tokens":1206,"cache_creation":{"ephemeral_5m_input_tokens":1206,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"1d95b47b-a4d2-4eb4-8aed-fb9668f12fbf","timestamp":"2026-04-27T06:15:48.126Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
918
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{"parentUuid":"1d95b47b-a4d2-4eb4-8aed-fb9668f12fbf","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_0151dRkv9ebDYk35JpLSkScS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01US7FTD26h2MwoN6F6UQonA","name":"Bash","input":{"command":"npm uninstall -g --prefix /tmp/cxs-npm-test cxs 2>&1 | tail -1 && rm -rf /tmp/cxs-npm-test /tmp/cxs-test-sessions /tmp/cxs-test-index.sqlite* && rm -f cxs-0.1.0.tgz && git add package.json && git commit -m \"$(cat <<'EOF'\nfix(package): 把 sync-lock.ts 加入 npm tarball\n\ncli.ts 直接 import { SyncLockTimeoutError } from \"./sync-lock\",但\npackage.json 的 files 字段一直漏了 sync-lock.ts,导致 npm 装的全局\nbinary 一启动就报 \"Cannot find module './sync-lock'\",任何子命令都\n无法运行。\n\n实测路径: npm pack && npm i -g --prefix /tmp/test ./cxs-0.1.0.tgz\n后跑 cxs --version 直接 exit 1。补 sync-lock.ts 后重测:\n- --version / --help OK\n- current --state-db <bad> --json 输出结构化 state_db_unavailable\n- sync 空目录返回 SyncSummary 全 0\n- stats / find 在空索引上正常返回\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>\nEOF\n)\" && git push 2>&1 | tail -5","description":"Cleanup, commit fix, push"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1206,"cache_read_input_tokens":281847,"output_tokens":1061,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1206},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1061,"cache_read_input_tokens":281847,"cache_creation_input_tokens":1206,"cache_creation":{"ephemeral_5m_input_tokens":1206,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"0b9d8d39-a146-4bde-a0d3-d8cbf6c1c822","timestamp":"2026-04-27T06:15:53.992Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"0b9d8d39-a146-4bde-a0d3-d8cbf6c1c822","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_01US7FTD26h2MwoN6F6UQonA","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"8a5a7823-1638-4db8-80f7-2471e7400d24","timestamp":"2026-04-27T06:15:54.020Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
920
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{"parentUuid":"0b9d8d39-a146-4bde-a0d3-d8cbf6c1c822","isSidechain":false,"promptId":"c52037b7-6bde-4804-b2aa-417500abf713","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01US7FTD26h2MwoN6F6UQonA","type":"tool_result","content":"removed 3 packages in 222ms\n[main 5a4cac7] fix(package): 把 sync-lock.ts 加入 npm tarball\n 1 file changed, 1 insertion(+)\n[entire] Pushing entire/checkpoints/v1 to origin....... done\nTo github.com:catoncat/cxs.git\n 8f08ebb..5a4cac7 main -> main\n[rerun: b40]","is_error":false}]},"uuid":"e7d7f6d0-083f-4ade-87fa-1e2ef80b833a","timestamp":"2026-04-27T06:16:05.231Z","toolUseResult":{"stdout":"removed 3 packages in 222ms\n[main 5a4cac7] fix(package): 把 sync-lock.ts 加入 npm tarball\n 1 file changed, 1 insertion(+)\n[entire] Pushing entire/checkpoints/v1 to origin....... done\nTo github.com:catoncat/cxs.git\n 8f08ebb..5a4cac7 main -> main","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"0b9d8d39-a146-4bde-a0d3-d8cbf6c1c822","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
921
+
{"parentUuid":"e7d7f6d0-083f-4ade-87fa-1e2ef80b833a","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01JqbxrNe8FY5jnmjXtNmxD1","type":"message","role":"assistant","content":[{"type":"text","text":"fix `5a4cac7` 已 push。\n\n## 实测结论\n\n**🔴 发现 P0 bug**:`package.json` 的 `files` 字段漏了 `sync-lock.ts`,而 `cli.ts` 顶层直接 `import { SyncLockTimeoutError } from \"./sync-lock\"` —— 任何用 `npm i -g cxs` 装的人启动就立刻 `Cannot find module './sync-lock'` 全军覆没。这条 fix 是这次实测最大的收获。\n\n**✅ 修复后端到端验证全过**:\n\n```\ncxs --version → \"0.1.0\"\ncxs --help → 列出 7 个子命令\ncxs current --state-db /tmp/no-such.db --json → {\"error\":{\"code\":\"state_db_unavailable\",...}} exit 1\ncxs sync --root <empty> --db <tmp> --json → SyncSummary all-zero exit 0\ncxs stats --db <tmp> --json → 完整字段 exit 0\ncxs find foo --db <empty-index> --json → {\"query\":\"foo\",\"results\":[]} exit 0\n```\n\n`bin/cxs` 的 readlink-aware bootstrap(你之前加的)在 `npm i -g` 的 symlink `bin/cxs → ../lib/node_modules/cxs/bin/cxs` 拓扑下也正确解析到包根目录,**无需 CXS_BIN env**。\n\n**npm publish 准备度评估**:\n- `package.json`:`bin` / `files` / `homepage` / `engines.bun` / `repository` / `bugs` 都齐 ✅(本次 fix 后)\n- tarball 大小 31.4 KB / 23 文件 ✅\n- 安装后无源码 patch 即可工作 ✅\n- 唯一前置依赖:用户机器要装 Bun ≥ 1.3(`engines.bun` 已声明)\n\n要 publish 的话直接 `npm publish` 就行。要不要顺手 publish?(这是真正 visible-to-others 的 action,我先确认。)"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1210,"cache_read_input_tokens":283053,"output_tokens":707,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1210},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":707,"cache_read_input_tokens":283053,"cache_creation_input_tokens":1210,"cache_creation":{"ephemeral_5m_input_tokens":1210,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"4b505e42-e8db-4b43-8998-3c4cf22fb1a2","timestamp":"2026-04-27T06:16:18.840Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
922
+
{"parentUuid":"4b505e42-e8db-4b43-8998-3c4cf22fb1a2","isSidechain":false,"attachment":{"type":"hook_success","hookName":"Stop","toolUseID":"2398909d-18d8-4942-8432-a58eb4d9ba0b","hookEvent":"Stop","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"9a258bd7-e646-49a2-b5f4-139b60669fde","timestamp":"2026-04-27T06:16:18.886Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
923
+
{"parentUuid":"9a258bd7-e646-49a2-b5f4-139b60669fde","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":2,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":3344},{"command":"http://localhost:59948/claude_code/hooks"}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":true,"level":"suggestion","timestamp":"2026-04-27T06:16:22.217Z","uuid":"00656d4d-0939-4100-9626-73d66c934afa","toolUseID":"2398909d-18d8-4942-8432-a58eb4d9ba0b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
924
+
{"parentUuid":"00656d4d-0939-4100-9626-73d66c934afa","isSidechain":false,"type":"system","subtype":"turn_duration","durationMs":150586,"messageCount":694,"timestamp":"2026-04-27T06:16:22.218Z","uuid":"d1a5f5d8-5905-4269-b24c-079e3e38b98b","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
925
+
{"parentUuid":"d1a5f5d8-5905-4269-b24c-079e3e38b98b","isSidechain":false,"type":"system","subtype":"away_summary","content":"把 cxs review 后的 P0/P1 修复全部落地并 push 到 origin/main，最近一次实测发现并修了 npm tarball 漏 sync-lock.ts 的问题。下一步等你确认是否 npm publish 0.1.0。","timestamp":"2026-04-27T06:19:25.953Z","uuid":"192a55ec-dbd8-4fc7-bfd1-97d517804d99","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
926
+
{"parentUuid":"192a55ec-dbd8-4fc7-bfd1-97d517804d99","isSidechain":false,"promptId":"87419818-a205-4ee8-a64f-58f7e5703e17","type":"user","message":{"role":"user","content":"好的"},"uuid":"358d234e-0dee-499a-9afd-1a95d3bd4373","timestamp":"2026-04-27T06:42:29.767Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
927
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{"parentUuid":"192a55ec-dbd8-4fc7-bfd1-97d517804d99","isSidechain":false,"promptId":"e5e2a91e-f062-4e47-8de7-b897ae7525db","type":"user","message":{"role":"user","content":"一定要 bun 吗 一般用户都是 nodejs 啊"},"uuid":"a8171980-89a6-4de5-99dc-06a3c0f9bf55","timestamp":"2026-04-27T06:42:54.796Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"bc57844c-a926-41c9-bcb0-f10d84380b8c","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01B6jwYQ48ZnfN5A6Hai2Uvg","type":"message","role":"assistant","content":[{"type":"text","text":"是个好观点。当前确实绑定 Bun 比较紧:\n\n**当前 Bun 依赖点**\n\n1. `bin/cxs` shim 直接 `exec bun run \"$ROOT/cli.ts\"` — 不预编译 TS,运行时跑 Bun\n2. `db.ts` 用 `bun:sqlite`(Bun 内置 SQLite 绑定),没用第三方 npm 包\n3. 测试用 `bun:test`,eval 用 `Bun.spawn`(这两个不影响最终用户)\n\n最小绑定的是前两个。要让\"纯 Node 用户 `npm i -g cxs` 直接跑\",就得拆这两条。\n\n## 三个方向"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":29,"cache_read_input_tokens":284967,"output_tokens":3700,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":29},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":3700,"cache_read_input_tokens":284967,"cache_creation_input_tokens":29,"cache_creation":{"ephemeral_5m_input_tokens":29,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"3166fc1c-387a-4853-a482-adb28d8b98cb","timestamp":"2026-04-27T06:43:37.776Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"3166fc1c-387a-4853-a482-adb28d8b98cb","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01B6jwYQ48ZnfN5A6Hai2Uvg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fxun2UhE7hppHDR2yQxsEY","name":"AskUserQuestion","input":{"questions":[{"question":"要怎么平衡 Bun 依赖与用户 UX?","header":"Runtime strategy","multiSelect":false,"options":[{"label":"维持 Bun-only,优化 install guide","description":"README 改成两行:`curl -fsSL https://bun.sh/install | bash` + `npm i -g cxs`。Bun 已是稳定产品,1 行装完。工程量 0。代价:用户多 1 步,且必须接受 Bun runtime。"},{"label":"Node 化:迁 better-sqlite3 + tsc 预编译 (推荐)","description":"把 bun:sqlite 换成 better-sqlite3 (npm 主流 SQLite 绑定,API 极相似,有 prebuilt binary),发布前 tsc 编译到 dist/,bin/cxs 改 `exec node dist/cli.js`。用户 npm i -g cxs 零额外依赖。工程量:中 (逐文件改 import + 处理 API 微差 + 加 build pipeline)。"},{"label":"Dual: Bun 开发 / Node 发布","description":"依然用 Bun 跑 dev/test (快 且 不需 ts-node),但 npm publish 时发布 Node-runnable artifact (tsc dist + better-sqlite3)。仓库有两个入口 (./cli.ts 走 Bun, ./dist/cli.js 走 Node)。工程量: 中-大。遵顶两边都能享受。"}]}]},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":29,"cache_read_input_tokens":284967,"output_tokens":3700,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":29},"inference_geo":"","iterations":[{"input_tokens":6,"output_tokens":3700,"cache_read_input_tokens":284967,"cache_creation_input_tokens":29,"cache_creation":{"ephemeral_5m_input_tokens":29,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"3c2ffd7d-3111-45a2-ba1f-c52c2383770b","timestamp":"2026-04-27T06:43:54.216Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"3c2ffd7d-3111-45a2-ba1f-c52c2383770b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:AskUserQuestion","toolUseID":"toolu_01Fxun2UhE7hppHDR2yQxsEY","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"0e4a4259-2de6-45da-b9df-a1b66406430f","timestamp":"2026-04-27T06:43:54.246Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"3c2ffd7d-3111-45a2-ba1f-c52c2383770b","isSidechain":false,"promptId":"e5e2a91e-f062-4e47-8de7-b897ae7525db","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). To tell you how to proceed, the user said:\nThe user wants to clarify these questions.\n This means they may have additional information, context or questions for you.\n Take their response into account and then reformulate the questions if appropriate.\n Start by asking them what they would like to clarify.\n\n Questions asked:\n- \"要怎么平衡 Bun 依赖与用户 UX?\"\n (No answer provided)","is_error":true,"tool_use_id":"toolu_01Fxun2UhE7hppHDR2yQxsEY"}]},"uuid":"ba1acaa1-cdd1-4c36-9197-d9fddf428dca","timestamp":"2026-04-27T06:45:43.292Z","toolUseResult":"Error: The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). To tell you how to proceed, the user said:\nThe user wants to clarify these questions.\n This means they may have additional information, context or questions for you.\n Take their response into account and then reformulate the questions if appropriate.\n Start by asking them what they would like to clarify.\n\n Questions asked:\n- \"要怎么平衡 Bun 依赖与用户 UX?\"\n (No answer provided)","sourceToolAssistantUUID":"3c2ffd7d-3111-45a2-ba1f-c52c2383770b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"ba1acaa1-cdd1-4c36-9197-d9fddf428dca","isSidechain":false,"attachment":{"type":"task_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"f38a9240-3c86-492b-8a80-2e6b97d57c18","timestamp":"2026-04-27T06:45:43.304Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"f38a9240-3c86-492b-8a80-2e6b97d57c18","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01VxhiHrjfpGputc8uGjDuFU","type":"message","role":"assistant","content":[{"type":"text","text":"想先听你那边的疑问/补充再重提选项。你想澄清什么 —— 是某个方向的代价没说清,还是有别的约束我没考虑到(比如打算保留 Bun 特性、不想加 native dep、或者想走 standalone binary `bun build --compile` 之类的第四种路线)?"}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4065,"cache_read_input_tokens":284996,"output_tokens":111,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4065},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":111,"cache_read_input_tokens":284996,"cache_creation_input_tokens":4065,"cache_creation":{"ephemeral_5m_input_tokens":4065,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"8b232500-0e3a-4183-85a8-7a72b79881b8","timestamp":"2026-04-27T06:45:48.367Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
935
+
{"parentUuid":"8b232500-0e3a-4183-85a8-7a72b79881b8","isSidechain":false,"attachment":{"type":"hook_success","hookName":"Stop","toolUseID":"47ea49da-0fe8-4bc1-b4ed-0bda0d25b0bc","hookEvent":"Stop","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"d14aca68-156b-470c-8393-e5eb9cbaf41e","timestamp":"2026-04-27T06:45:48.517Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
936
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{"type":"last-prompt","lastPrompt":"一定要 bun 吗 一般用户都是 nodejs 啊","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
937
+
{"type":"custom-title","customTitle":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
938
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{"type":"agent-name","agentName":"db-resource-cleanup-p0-fixes","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
939
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{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
940
+
{"parentUuid":"d14aca68-156b-470c-8393-e5eb9cbaf41e","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":2,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":3226},{"command":"http://localhost:59948/claude_code/hooks"}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":true,"level":"suggestion","timestamp":"2026-04-27T06:45:51.718Z","uuid":"a21705f1-fe54-43f5-9ecd-1560c9df67ad","toolUseID":"47ea49da-0fe8-4bc1-b4ed-0bda0d25b0bc","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
941
+
{"parentUuid":"a21705f1-fe54-43f5-9ecd-1560c9df67ad","isSidechain":false,"type":"system","subtype":"turn_duration","durationMs":67617,"messageCount":706,"timestamp":"2026-04-27T06:45:51.720Z","uuid":"ee4e8c9c-1951-4919-aadf-a279bc5e4057","isMeta":false,"userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
942
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{"parentUuid":"ee4e8c9c-1951-4919-aadf-a279bc5e4057","isSidechain":false,"promptId":"8ad475bf-a095-4f72-a642-59d05b16d7a6","type":"user","message":{"role":"user","content":"我记得 bun 是可以直接 release 的是吧 利用 gh ci 可以release 多个版本？这样 skills 直接用？"},"uuid":"c3fa163f-8218-4e97-b2bc-9874325851e9","timestamp":"2026-04-27T06:46:23.683Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
943
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{"type":"queue-operation","operation":"enqueue","timestamp":"2026-04-27T06:46:44.043Z","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","content":"而且还有一个办法就是 npx 直接运行"}
944
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{"type":"queue-operation","operation":"dequeue","timestamp":"2026-04-27T06:46:44.545Z","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
945
+
{"parentUuid":"c3fa163f-8218-4e97-b2bc-9874325851e9","isSidechain":false,"promptId":"8ad475bf-a095-4f72-a642-59d05b16d7a6","type":"user","message":{"role":"user","content":[{"type":"text","text":"[Request interrupted by user]"}]},"uuid":"d2556608-09f2-4eec-bdfa-c824d18fdf1c","timestamp":"2026-04-27T06:46:44.527Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
946
+
{"parentUuid":"d2556608-09f2-4eec-bdfa-c824d18fdf1c","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":"而且还有一个办法就是 npx 直接运行"},"uuid":"a52436ea-b612-4ff8-9b24-b53bbe2f9ad9","timestamp":"2026-04-27T06:46:44.557Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
947
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{"parentUuid":"a52436ea-b612-4ff8-9b24-b53bbe2f9ad9","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01PiG7dhgZJT39aVAPLdmpDt","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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{"parentUuid":"fdff8b17-3213-4ee8-934f-2d07081c7a5b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:AskUserQuestion","toolUseID":"toolu_019PFdSCPEC7CFiPee92FssH","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"787f41ca-bbc0-49fb-918a-c5ec8203d293","timestamp":"2026-04-27T06:47:44.251Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"fdff8b17-3213-4ee8-934f-2d07081c7a5b","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"User has answered your questions: \"采哪个发布路线?\"=\"Bun binary + Node 化 npm 包 (双发布)\". You can now continue with the user's answers in mind.","tool_use_id":"toolu_019PFdSCPEC7CFiPee92FssH"}]},"uuid":"74bfa8c7-fc0a-43d4-8c7a-aaf4fb0148c8","timestamp":"2026-04-27T06:50:36.604Z","toolUseResult":{"questions":[{"question":"采哪个发布路线?","header":"Release path","options":[{"label":"Bun standalone binary via GH Actions (推荐)","description":"GH Actions matrix 出 5 个平台 binary 上 release。Skill 装脚本 一行 curl 到 PATH。用户零依赖。保留 bun:sqlite,不迁 better-sqlite3。npm 路线暂不上 (Bun-only 开发者仓库)。工程量:GH Actions workflow + install script 大约半天。"},{"label":"Bun binary + Node 化 npm 包 (双发布)","description":"GH Actions 发布 standalone binary (给 skill / 终端),同时 tsc + better-sqlite3 到 dist/ 发布 npm (给 npm i -g / npx 用户)。覆盖面最广。工程量:1-2 天。"},{"label":"先只上 Bun binary,Node 化继续调研","description":"这轮只做 GH Actions binary release,Node 化留到看到真实需求证据后再推。Bun binary 是 UX 拐点,Node 化是锁死 nicer-to-have。"}],"multiSelect":false}],"answers":{"采哪个发布路线?":"Bun binary + Node 化 npm 包 (双发布)"}},"sourceToolAssistantUUID":"fdff8b17-3213-4ee8-934f-2d07081c7a5b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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996
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{"parentUuid":"8ff74e5b-c53a-45dd-a22f-ad9010ca4358","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HuYYv9wTVjd5rngrJPvvMc","type":"tool_result","content":"/tmp/cxs-binary-test/cxs-darwin-arm64 58.4M\n---version---\n4248 | function normalizeListSort(value) {\n4249 | if (value === \"started\" || value === \"messages\")\n4250 | return value;\n4251 | return \"ended\";\n4252 | }\n4253 | const raw = readFileSync3(new URL(\"./package.json\", import.meta.url), \"utf8\");\n ^\nENOENT: no such file or directory, open '/$bunfs/root/package.json'\n path: \"/$bunfs/root/package.json\",\n syscall: \"open\",\n errno: -2,\n code: \"ENOENT\"\n\n at readPackageVersion (/$bunfs/root/cxs-darwin-arm64:4253:28)\n at /$bunfs/root/cxs-darwin-arm64:4126:113\n at loadAndEvaluateModule (2:1)\n\nBun v1.3.11 (macOS arm64)\n(exit 1)\n---sync empty---\n4248 | function normalizeListSort(value) {\n4249 | if (value === \"started\" || value === \"messages\")\n4250 | return value;\n4251 | return \"ended\";\n4252 | }\n4253 | const raw = readFileSync3(new URL(\"./package.json\", import.meta.url), \"utf8\");\n ^\nENOENT: no such file or directory, open '/$bunfs/root/package.json'\n path: \"/$bunfs/root/package.json\",\n syscall: \"open\",\n errno: -2,\n code: \"ENOENT\"\n\n at readPackageVersion (/$bunfs/root/cxs-darwin-arm64:4253:28)\n at /$bunfs/root/cxs-darwin-arm64:4126:113\n at loadAndEvaluateModule (2:1)\n\nBun v1.3.11 (macOS arm64)\n(exit 1)\n[rerun: b43]","is_error":false}]},"uuid":"2cc2d2e3-81fb-4ce1-b02a-05c8e8dc9d16","timestamp":"2026-04-27T06:51:59.266Z","toolUseResult":{"stdout":"/tmp/cxs-binary-test/cxs-darwin-arm64 58.4M\n---version---\n4248 | function normalizeListSort(value) {\n4249 | if (value === \"started\" || value === \"messages\")\n4250 | return value;\n4251 | return \"ended\";\n4252 | }\n4253 | const raw = readFileSync3(new URL(\"./package.json\", import.meta.url), \"utf8\");\n ^\nENOENT: no such file or directory, open '/$bunfs/root/package.json'\n path: \"/$bunfs/root/package.json\",\n syscall: \"open\",\n errno: -2,\n code: \"ENOENT\"\n\n at readPackageVersion (/$bunfs/root/cxs-darwin-arm64:4253:28)\n at /$bunfs/root/cxs-darwin-arm64:4126:113\n at loadAndEvaluateModule (2:1)\n\nBun v1.3.11 (macOS arm64)\n(exit 1)\n---sync empty---\n4248 | function normalizeListSort(value) {\n4249 | if (value === \"started\" || value === \"messages\")\n4250 | return value;\n4251 | return \"ended\";\n4252 | }\n4253 | const raw = readFileSync3(new URL(\"./package.json\", import.meta.url), \"utf8\");\n ^\nENOENT: no such file or directory, open '/$bunfs/root/package.json'\n path: \"/$bunfs/root/package.json\",\n syscall: \"open\",\n errno: -2,\n code: \"ENOENT\"\n\n at readPackageVersion (/$bunfs/root/cxs-darwin-arm64:4253:28)\n at /$bunfs/root/cxs-darwin-arm64:4126:113\n at loadAndEvaluateModule (2:1)\n\nBun v1.3.11 (macOS arm64)\n(exit 1)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"8ff74e5b-c53a-45dd-a22f-ad9010ca4358","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
997
+
{"parentUuid":"2cc2d2e3-81fb-4ce1-b02a-05c8e8dc9d16","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01L2XhdYLEcmRwssY4QhSFR8","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1039,"cache_read_input_tokens":298912,"output_tokens":1318,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1039},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1318,"cache_read_input_tokens":298912,"cache_creation_input_tokens":1039,"cache_creation":{"ephemeral_5m_input_tokens":1039,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"94a9a1b8-8ef8-44d9-9bb0-a0bd57edb7b8","timestamp":"2026-04-27T06:52:18.985Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
998
+
{"parentUuid":"94a9a1b8-8ef8-44d9-9bb0-a0bd57edb7b8","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01L2XhdYLEcmRwssY4QhSFR8","type":"message","role":"assistant","content":[{"type":"text","text":"**实测发现第二个 P0 bug**:standalone binary 启动炸 — `cli.ts:240` 的 `readPackageVersion()` 运行时读 `./package.json`,但 `bun build --compile` 出来的 binary 文件系统是虚拟 `/$bunfs/root/`,JSON 不在里面。修法:改成 build-time `import` 让 bundler inline。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1039,"cache_read_input_tokens":298912,"output_tokens":1318,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1039},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1318,"cache_read_input_tokens":298912,"cache_creation_input_tokens":1039,"cache_creation":{"ephemeral_5m_input_tokens":1039,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"20a2587c-7680-453a-8984-193ff42b23b2","timestamp":"2026-04-27T06:52:20.984Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
999
+
{"parentUuid":"20a2587c-7680-453a-8984-193ff42b23b2","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01L2XhdYLEcmRwssY4QhSFR8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FRPK5qArLb8ghVN1y5fkp9","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/cli.ts","offset":1,"limit":35},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1039,"cache_read_input_tokens":298912,"output_tokens":1318,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1039},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1318,"cache_read_input_tokens":298912,"cache_creation_input_tokens":1039,"cache_creation":{"ephemeral_5m_input_tokens":1039,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c4f79e69-f021-4b62-bb18-4bc1bd444cd9","timestamp":"2026-04-27T06:52:21.805Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1000
+
{"parentUuid":"c4f79e69-f021-4b62-bb18-4bc1bd444cd9","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01FRPK5qArLb8ghVN1y5fkp9","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"bedd2784-2b5f-46c4-b9f7-fa01abc00437","timestamp":"2026-04-27T06:52:21.825Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1001
+
{"parentUuid":"c4f79e69-f021-4b62-bb18-4bc1bd444cd9","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FRPK5qArLb8ghVN1y5fkp9","type":"tool_result","content":"1\t#!/usr/bin/env bun\n2\t\n3\timport { existsSync, readFileSync } from \"node:fs\";\n4\timport { Command } from \"commander\";\n5\timport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\n6\timport {\n7\t printCurrentSessions,\n8\t printFindResults,\n9\t printReadPage,\n10\t printReadRangeResult,\n11\t printSessionList,\n12\t printStats,\n13\t printSyncSummary,\n14\t} from \"./format\";\n15\timport { SyncError, syncSessions } from \"./indexer\";\n16\timport {\n17\t collectStats,\n18\t CurrentStateDbError,\n19\t findSessions,\n20\t getCurrentSessions,\n21\t getMessagePage,\n22\t getMessageRange,\n23\t listSessionSummaries,\n24\t} from \"./query\";\n25\timport { SyncLockTimeoutError } from \"./sync-lock\";\n26\timport type { SessionListSort } from \"./types\";\n27\t\n28\tconst program = new Command();\n29\t\n30\tprogram\n31\t .name(\"cxs\")\n32\t .description(\"Codex sessions 渐进式检索 CLI\")\n33\t .version(readPackageVersion());\n34\t\n35\tprogram"}]},"uuid":"a9d01e36-e6e8-48ab-86fb-9c98258b672e","timestamp":"2026-04-27T06:52:21.827Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","content":"#!/usr/bin/env bun\n\nimport { existsSync, readFileSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(readPackageVersion());\n\nprogram","numLines":35,"startLine":1,"totalLines":262}},"sourceToolAssistantUUID":"c4f79e69-f021-4b62-bb18-4bc1bd444cd9","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1002
+
{"parentUuid":"a9d01e36-e6e8-48ab-86fb-9c98258b672e","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01L2XhdYLEcmRwssY4QhSFR8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RNxoVNfJZjSqU2TAJWizQh","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/cli.ts","offset":235,"limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1039,"cache_read_input_tokens":298912,"output_tokens":1318,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1039},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1318,"cache_read_input_tokens":298912,"cache_creation_input_tokens":1039,"cache_creation":{"ephemeral_5m_input_tokens":1039,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"122f7bab-367c-41a1-ab5d-78c35647b8c4","timestamp":"2026-04-27T06:52:22.131Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1003
+
{"parentUuid":"122f7bab-367c-41a1-ab5d-78c35647b8c4","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01RNxoVNfJZjSqU2TAJWizQh","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"f147cba8-618a-4630-920a-40804aa7269e","timestamp":"2026-04-27T06:52:22.139Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1004
+
{"parentUuid":"122f7bab-367c-41a1-ab5d-78c35647b8c4","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RNxoVNfJZjSqU2TAJWizQh","type":"tool_result","content":"235\t if (value === \"started\" || value === \"messages\") return value;\n236\t return \"ended\";\n237\t}\n238\t\n239\tfunction readPackageVersion(): string {\n240\t const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");\n241\t const parsed = JSON.parse(raw) as { version?: unknown };\n242\t if (typeof parsed.version !== \"string\" || !parsed.version) {\n243\t throw new Error(\"package.json version is missing\");\n244\t }\n245\t return parsed.version;\n246\t}\n247\t\n248\tfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {\n249\t if (jsonMode) {\n250\t console.log(\n251\t JSON.stringify(\n252\t { error: { code: \"state_db_unavailable\", message: error.message } },\n253\t null,\n254\t 2,\n255\t ),\n256\t );\n257\t } else {\n258\t console.error(error.message);\n259\t }\n260\t process.exitCode = 1;\n261\t}\n262\t"}]},"uuid":"0339e9cd-808c-4d52-86fc-0a15001072a2","timestamp":"2026-04-27T06:52:22.140Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","content":" if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n\nfunction readPackageVersion(): string {\n const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");\n const parsed = JSON.parse(raw) as { version?: unknown };\n if (typeof parsed.version !== \"string\" || !parsed.version) {\n throw new Error(\"package.json version is missing\");\n }\n return parsed.version;\n}\n\nfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {\n if (jsonMode) {\n console.log(\n JSON.stringify(\n { error: { code: \"state_db_unavailable\", message: error.message } },\n null,\n 2,\n ),\n );\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n}\n","numLines":28,"startLine":235,"totalLines":262}},"sourceToolAssistantUUID":"122f7bab-367c-41a1-ab5d-78c35647b8c4","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1005
+
{"type":"last-prompt","lastPrompt":"而且还有一个办法就是 npx 直接运行","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
1006
+
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1007
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1008
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1009
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1010
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{"parentUuid":"70c142bb-1833-4a75-bf5f-1a05b696fb37","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_0186AGKgQdX95dP83LPEGZFX","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"2f360c6b-7c0e-4402-98ea-ab0d3586c858","timestamp":"2026-04-27T06:52:27.946Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1011
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{"parentUuid":"70c142bb-1833-4a75-bf5f-1a05b696fb37","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0186AGKgQdX95dP83LPEGZFX","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated successfully."}]},"uuid":"a14e7a20-9eb1-4340-a1d2-cb676805e7ea","timestamp":"2026-04-27T06:52:27.949Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","oldString":"import { existsSync, readFileSync } from \"node:fs\";\nimport { Command } from \"commander\";","newString":"import { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport packageJson from \"./package.json\" with { type: \"json\" };","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync, readFileSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(readPackageVersion());\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n\nfunction readPackageVersion(): string {\n const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");\n const parsed = JSON.parse(raw) as { version?: unknown };\n if (typeof parsed.version !== \"string\" || !parsed.version) {\n throw new Error(\"package.json version is missing\");\n }\n return parsed.version;\n}\n\nfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {\n if (jsonMode) {\n console.log(\n JSON.stringify(\n { error: { code: \"state_db_unavailable\", message: error.message } },\n null,\n 2,\n ),\n );\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n}\n","structuredPatch":[{"oldStart":1,"oldLines":7,"newStart":1,"newLines":8,"lines":[" #!/usr/bin/env bun"," ","-import { existsSync, readFileSync } from \"node:fs\";","+import { existsSync } from \"node:fs\";"," import { Command } from \"commander\";","+import packageJson from \"./package.json\" with { type: \"json\" };"," import { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";"," import {"," printCurrentSessions,"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"70c142bb-1833-4a75-bf5f-1a05b696fb37","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1012
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{"parentUuid":"a14e7a20-9eb1-4340-a1d2-cb676805e7ea","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_015vJJuFw32zwzqDgmzsrbga","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015MwB3giTJP9dUxd9r3R3eR","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/cli.ts","old_string":"program\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(readPackageVersion());","new_string":"program\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(packageJson.version);"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2164,"cache_read_input_tokens":299951,"output_tokens":880,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2164},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":880,"cache_read_input_tokens":299951,"cache_creation_input_tokens":2164,"cache_creation":{"ephemeral_5m_input_tokens":2164,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c7883920-d491-4412-90c6-28e3758f7112","timestamp":"2026-04-27T06:52:28.903Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1013
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{"parentUuid":"c7883920-d491-4412-90c6-28e3758f7112","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Edit","toolUseID":"toolu_015MwB3giTJP9dUxd9r3R3eR","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"b1db06ff-78fa-4097-ad32-ecf8b0d810f9","timestamp":"2026-04-27T06:52:28.928Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1014
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{"parentUuid":"c7883920-d491-4412-90c6-28e3758f7112","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015MwB3giTJP9dUxd9r3R3eR","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated successfully."}]},"uuid":"a9507852-a6d3-4ac2-8b4e-eebc2605392e","timestamp":"2026-04-27T06:52:28.930Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","oldString":"program\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(readPackageVersion());","newString":"program\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(packageJson.version);","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport packageJson from \"./package.json\" with { type: \"json\" };\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(readPackageVersion());\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n\nfunction readPackageVersion(): string {\n const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");\n const parsed = JSON.parse(raw) as { version?: unknown };\n if (typeof parsed.version !== \"string\" || !parsed.version) {\n throw new Error(\"package.json version is missing\");\n }\n return parsed.version;\n}\n\nfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {\n if (jsonMode) {\n console.log(\n JSON.stringify(\n { error: { code: \"state_db_unavailable\", message: error.message } },\n null,\n 2,\n ),\n );\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n}\n","structuredPatch":[{"oldStart":31,"oldLines":7,"newStart":31,"newLines":7,"lines":[" program"," .name(\"cxs\")"," .description(\"Codex sessions 渐进式检索 CLI\")","- .version(readPackageVersion());","+ .version(packageJson.version);"," "," program"," .command(\"current\")"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c7883920-d491-4412-90c6-28e3758f7112","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"c6179318-c500-4e03-8ce9-d98ac84d2c7d","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Md6KsJs9ukr7gQTn7AXBCQ","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/cli.ts has been updated successfully."}]},"uuid":"6905cda7-1c82-45f6-894c-490ecae5a934","timestamp":"2026-04-27T06:52:31.287Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/cli.ts","oldString":"function readPackageVersion(): string {\n const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");\n const parsed = JSON.parse(raw) as { version?: unknown };\n if (typeof parsed.version !== \"string\" || !parsed.version) {\n throw new Error(\"package.json version is missing\");\n }\n return parsed.version;\n}\n\nfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {","newString":"function emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {","originalFile":"#!/usr/bin/env bun\n\nimport { existsSync } from \"node:fs\";\nimport { Command } from \"commander\";\nimport packageJson from \"./package.json\" with { type: \"json\" };\nimport { DEFAULT_CODEX_STATE_DB_PATH, DEFAULT_DB_PATH, resolveCodexDir } from \"./env\";\nimport {\n printCurrentSessions,\n printFindResults,\n printReadPage,\n printReadRangeResult,\n printSessionList,\n printStats,\n printSyncSummary,\n} from \"./format\";\nimport { SyncError, syncSessions } from \"./indexer\";\nimport {\n collectStats,\n CurrentStateDbError,\n findSessions,\n getCurrentSessions,\n getMessagePage,\n getMessageRange,\n listSessionSummaries,\n} from \"./query\";\nimport { SyncLockTimeoutError } from \"./sync-lock\";\nimport type { SessionListSort } from \"./types\";\n\nconst program = new Command();\n\nprogram\n .name(\"cxs\")\n .description(\"Codex sessions 渐进式检索 CLI\")\n .version(packageJson.version);\n\nprogram\n .command(\"current\")\n .description(\"按 cwd 返回当前候选 session，不做全文检索\")\n .option(\"--cwd <path>\", \"显式指定 cwd，默认当前工作目录\")\n .option(\"-n, --limit <n>\", \"返回条数上限\", \"100\")\n .option(\"--state-db <path>\", \"覆盖默认 Codex state SQLite 路径\", DEFAULT_CODEX_STATE_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const cwd = options.cwd ?? process.cwd();\n const jsonMode = Boolean(options.json);\n try {\n if (!existsSync(options.stateDb)) {\n throw new CurrentStateDbError(`state db not found: ${options.stateDb}`);\n }\n const result = getCurrentSessions(options.stateDb, cwd, parsePositiveInt(options.limit, 100));\n if (jsonMode) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printCurrentSessions(result.cwd, result.candidates);\n } catch (error) {\n if (error instanceof CurrentStateDbError) {\n emitCurrentError(error, jsonMode);\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"sync\")\n .description(\"扫描并同步本地 Codex sessions 到 SQLite 索引\")\n .option(\"--root <dir>\", \"覆盖默认 sessions 根目录\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--best-effort\", \"即使部分文件失败也继续写入可成功部分\")\n .option(\"--json\", \"输出 JSON\")\n .action(async (options) => {\n try {\n const summary = await syncSessions({\n dbPath: options.db,\n rootDir: resolveCodexDir(options.root),\n bestEffort: options.bestEffort,\n });\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printSyncSummary(summary);\n } catch (error) {\n if (error instanceof SyncError) {\n if (options.json) {\n console.error(JSON.stringify(error.summary, null, 2));\n } else {\n printSyncSummary(error.summary);\n }\n process.exitCode = 1;\n return;\n }\n if (error instanceof SyncLockTimeoutError) {\n if (options.json) {\n console.error(JSON.stringify({ error: error.message }, null, 2));\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n return;\n }\n throw error;\n }\n });\n\nprogram\n .command(\"find <query>\")\n .description(\"搜索相关 session，返回最小必要命中\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"10\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((query, options) => {\n const limit = parsePositiveInt(options.limit, 10);\n const result = findSessions(options.db, query, limit);\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printFindResults(result.query, result.results);\n });\n\nprogram\n .command(\"read-range <sessionUuid>\")\n .description(\"围绕命中点读取局部上下文；必须显式传 session_uuid\")\n .option(\"--seq <n>\", \"显式指定锚点 seq\")\n .option(\"--query <query>\", \"用 query 在该 session 内重新定位命中点\")\n .option(\"--before <n>\", \"前文条数\", \"2\")\n .option(\"--after <n>\", \"后文条数\", \"2\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessageRange(options.db, sessionUuid, {\n seq: optionalInt(options.seq),\n query: options.query,\n before: parsePositiveInt(options.before, 2),\n after: parsePositiveInt(options.after, 2),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadRangeResult(\n result.session,\n result.anchorSeq,\n result.messages,\n result.rangeStartSeq,\n result.rangeEndSeq,\n );\n });\n\nprogram\n .command(\"read-page <sessionUuid>\")\n .description(\"顺序分页读取某个 session 的消息\")\n .option(\"--offset <n>\", \"起始 offset\", \"0\")\n .option(\"--limit <n>\", \"页大小\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((sessionUuid, options) => {\n const result = getMessagePage(\n options.db,\n sessionUuid,\n parseNonNegativeInt(options.offset, 0),\n parsePositiveInt(options.limit, 20),\n );\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printReadPage(\n result.session,\n result.offset,\n result.limit,\n result.totalCount,\n result.hasMore,\n result.messages,\n );\n });\n\nprogram\n .command(\"list\")\n .description(\"列出已索引的 session（不做全文检索）\")\n .option(\"--cwd <needle>\", \"cwd 子串过滤（大小写不敏感）\")\n .option(\"--since <iso>\", \"只看 ended_at >= 指定时间的 session\")\n .option(\"--sort <key>\", \"排序键：ended|started|messages\", \"ended\")\n .option(\"-n, --limit <n>\", \"返回条数\", \"20\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const sort = normalizeListSort(options.sort);\n const result = listSessionSummaries(options.db, {\n cwd: options.cwd,\n since: options.since,\n sort,\n limit: parsePositiveInt(options.limit, 20),\n });\n if (options.json) {\n console.log(JSON.stringify(result, null, 2));\n return;\n }\n printSessionList(result.results);\n });\n\nprogram\n .command(\"stats\")\n .description(\"展示索引状态统计\")\n .option(\"--db <path>\", \"覆盖默认数据库路径\", DEFAULT_DB_PATH)\n .option(\"--json\", \"输出 JSON\")\n .action((options) => {\n const summary = collectStats(options.db);\n if (options.json) {\n console.log(JSON.stringify(summary, null, 2));\n return;\n }\n printStats(summary);\n });\n\nprogram.parse();\n\nfunction parsePositiveInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed > 0 ? parsed : fallback;\n}\n\nfunction parseNonNegativeInt(value: string | undefined, fallback: number): number {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) && parsed >= 0 ? parsed : fallback;\n}\n\nfunction optionalInt(value: string | undefined): number | undefined {\n const parsed = Number.parseInt(value ?? \"\", 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction normalizeListSort(value: string | undefined): SessionListSort {\n if (value === \"started\" || value === \"messages\") return value;\n return \"ended\";\n}\n\nfunction readPackageVersion(): string {\n const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");\n const parsed = JSON.parse(raw) as { version?: unknown };\n if (typeof parsed.version !== \"string\" || !parsed.version) {\n throw new Error(\"package.json version is missing\");\n }\n return parsed.version;\n}\n\nfunction emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {\n if (jsonMode) {\n console.log(\n JSON.stringify(\n { error: { code: \"state_db_unavailable\", message: error.message } },\n null,\n 2,\n ),\n );\n } else {\n console.error(error.message);\n }\n process.exitCode = 1;\n}\n","structuredPatch":[{"oldStart":237,"oldLines":15,"newStart":237,"newLines":6,"lines":[" return \"ended\";"," }"," ","-function readPackageVersion(): string {","- const raw = readFileSync(new URL(\"./package.json\", import.meta.url), \"utf8\");","- const parsed = JSON.parse(raw) as { version?: unknown };","- if (typeof parsed.version !== \"string\" || !parsed.version) {","- throw new Error(\"package.json version is missing\");","- }","- return parsed.version;","-}","-"," function emitCurrentError(error: CurrentStateDbError, jsonMode: boolean): void {"," if (jsonMode) {"," console.log("]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c6179318-c500-4e03-8ce9-d98ac84d2c7d","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3"}
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{"parentUuid":"5c8b09c0-aa20-4f7f-89a4-8c7ce1919c24","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_014PSRdLUUysY6m7SaeZa6GT","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"4eb19b17-db89-42b8-890b-99af490a8321","timestamp":"2026-04-27T06:52:31.817Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1024
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{"parentUuid":"8169dba9-cc8a-46ca-886d-15143ca537cc","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01TiucuR6oxUCo9siUEH4zAo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017LeG61kYytivadDHXYcYYL","name":"Bash","input":{"command":"rm -rf /tmp/cxs-binary-test && mkdir -p /tmp/cxs-binary-test && bun build ./cli.ts --compile --target=bun-darwin-arm64 --outfile /tmp/cxs-binary-test/cxs-darwin-arm64 2>&1 | tail -3 && echo \"---\" && /tmp/cxs-binary-test/cxs-darwin-arm64 --version && echo \"---help---\" && /tmp/cxs-binary-test/cxs-darwin-arm64 --help 2>&1 | head -3 && echo \"---current bad path---\" && /tmp/cxs-binary-test/cxs-darwin-arm64 current --state-db /tmp/no-such.db --json; echo \"(exit $?)\"; echo \"---sync empty---\" && rm -rf /tmp/cxs-bin-* && mkdir -p /tmp/cxs-bin-sessions && /tmp/cxs-binary-test/cxs-darwin-arm64 sync --root /tmp/cxs-bin-sessions --db /tmp/cxs-bin-index.sqlite --json; echo \"(exit $?)\"; echo \"---stats---\" && /tmp/cxs-binary-test/cxs-darwin-arm64 stats --db /tmp/cxs-bin-index.sqlite --json | head","description":"Re-build and re-smoke standalone binary"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1171,"cache_read_input_tokens":302115,"output_tokens":699,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1171},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":699,"cache_read_input_tokens":302115,"cache_creation_input_tokens":1171,"cache_creation":{"ephemeral_5m_input_tokens":1171,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"f7bbc9d8-8147-4451-95c2-653d73dea36a","timestamp":"2026-04-27T06:52:44.393Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1027
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{"parentUuid":"f7bbc9d8-8147-4451-95c2-653d73dea36a","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_017LeG61kYytivadDHXYcYYL","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"b9f12e26-be80-47d0-82b9-adc2bd4ca763","timestamp":"2026-04-27T06:52:44.417Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1028
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{"parentUuid":"f7bbc9d8-8147-4451-95c2-653d73dea36a","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017LeG61kYytivadDHXYcYYL","type":"tool_result","content":" [7ms] bundle 23 modules\n [136ms] compile /tmp/cxs-binary-test/cxs-darwin-arm64\n---\n0.1.0\n---help---\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n---current bad path---\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/no-such.db\"\n }\n}\n(exit 1)\n---sync empty---\n2216 | var DEFAULT_CODEX_DIR = resolve(homedir(), \".codex\", \"sessions\");\n2217 | var CODEX_TITLE_INDEX_PATH = resolve(homedir(), \".codex\", \"session_index.jsonl\");\n2218 | var DEFAULT_CODEX_STATE_DB_PATH = resolve(homedir(), \".codex\", \"state_5.sqlite\");\n2219 | var INDEX_VERSION = \"cxs-v5-session-field-weights\";\n2220 | function ensureDataDir() {\n2221 | mkdirSync(DATA_DIR, { recursive: true });\n ^\nEROFS: read-only file system, mkdir '/$bunfs'\n path: \"/$bunfs\",\n syscall: \"mkdir\",\n errno: -30,\n code: \"EROFS\"\n\n at ensureDataDir (/$bunfs/root/cxs-darwin-arm64:2221:14)\n at syncSessions (/$bunfs/root/cxs-darwin-arm64:3526:16)\n at <anonymous> (/$bunfs/root/cxs-darwin-arm64:4210:39)\n at _parseCommand (/$bunfs/root/cxs-darwin-arm64:1534:41)\n at _dispatchSubcommand (/$bunfs/root/cxs-darwin-arm64:1399:39)\n at parse (/$bunfs/root/cxs-darwin-arm64:1258:25)\n at /$bunfs/root/cxs-darwin-arm64:4294:15\n\nBun v1.3.11 (macOS arm64)\n(exit 1)\n---stats---\n2901 | var BUSY_TIMEOUT_MS = 5000;\n2902 | if (existsSync2(CUSTOM_SQLITE)) {\n2903 | Database.setCustomSQLite(CUSTOM_SQLITE);\n2904 | }\n2905 | function openReadDb(dbPath) {\n2906 | throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n ^\nerror: index not found: /tmp/cxs-bin-index.sqlite; run cxs sync first\n at openReadDb (/$bunfs/root/cxs-darwin-arm64:2906:11)\n at withReadDb (/$bunfs/root/cxs-darwin-arm64:2915:24)\n at collectStats (/$bunfs/root/cxs-darwin-arm64:3888:41)\n at <anonymous> (/$bunfs/root/cxs-darwin-arm64:4287:31)\n at _parseCommand (/$bunfs/root/cxs-darwin-arm64:1534:41)\n at _dispatchSubcommand (/$bunfs/root/cxs-darwin-arm64:1399:39)\n at parse (/$bunfs/root/cxs-darwin-arm64:1258:25)\n at /$bunfs/root/cxs-darwin-arm64:4294:15\n\nBun v1.3.11 (macOS arm64)\n[rerun: b45]","is_error":false}]},"uuid":"38443754-8079-4c29-b022-d7f16a5d86b9","timestamp":"2026-04-27T06:52:46.120Z","toolUseResult":{"stdout":" [7ms] bundle 23 modules\n [136ms] compile /tmp/cxs-binary-test/cxs-darwin-arm64\n---\n0.1.0\n---help---\nUsage: cxs [options] [command]\n\nCodex sessions 渐进式检索 CLI\n---current bad path---\n{\n \"error\": {\n \"code\": \"state_db_unavailable\",\n \"message\": \"state db not found: /tmp/no-such.db\"\n }\n}\n(exit 1)\n---sync empty---\n2216 | var DEFAULT_CODEX_DIR = resolve(homedir(), \".codex\", \"sessions\");\n2217 | var CODEX_TITLE_INDEX_PATH = resolve(homedir(), \".codex\", \"session_index.jsonl\");\n2218 | var DEFAULT_CODEX_STATE_DB_PATH = resolve(homedir(), \".codex\", \"state_5.sqlite\");\n2219 | var INDEX_VERSION = \"cxs-v5-session-field-weights\";\n2220 | function ensureDataDir() {\n2221 | mkdirSync(DATA_DIR, { recursive: true });\n ^\nEROFS: read-only file system, mkdir '/$bunfs'\n path: \"/$bunfs\",\n syscall: \"mkdir\",\n errno: -30,\n code: \"EROFS\"\n\n at ensureDataDir (/$bunfs/root/cxs-darwin-arm64:2221:14)\n at syncSessions (/$bunfs/root/cxs-darwin-arm64:3526:16)\n at <anonymous> (/$bunfs/root/cxs-darwin-arm64:4210:39)\n at _parseCommand (/$bunfs/root/cxs-darwin-arm64:1534:41)\n at _dispatchSubcommand (/$bunfs/root/cxs-darwin-arm64:1399:39)\n at parse (/$bunfs/root/cxs-darwin-arm64:1258:25)\n at /$bunfs/root/cxs-darwin-arm64:4294:15\n\nBun v1.3.11 (macOS arm64)\n(exit 1)\n---stats---\n2901 | var BUSY_TIMEOUT_MS = 5000;\n2902 | if (existsSync2(CUSTOM_SQLITE)) {\n2903 | Database.setCustomSQLite(CUSTOM_SQLITE);\n2904 | }\n2905 | function openReadDb(dbPath) {\n2906 | throw new Error(`index not found: ${dbPath}; run cxs sync first`);\n ^\nerror: index not found: /tmp/cxs-bin-index.sqlite; run cxs sync first\n at openReadDb (/$bunfs/root/cxs-darwin-arm64:2906:11)\n at withReadDb (/$bunfs/root/cxs-darwin-arm64:2915:24)\n at collectStats (/$bunfs/root/cxs-darwin-arm64:3888:41)\n at <anonymous> (/$bunfs/root/cxs-darwin-arm64:4287:31)\n at _parseCommand (/$bunfs/root/cxs-darwin-arm64:1534:41)\n at _dispatchSubcommand (/$bunfs/root/cxs-darwin-arm64:1399:39)\n at parse (/$bunfs/root/cxs-darwin-arm64:1258:25)\n at /$bunfs/root/cxs-darwin-arm64:4294:15\n\nBun v1.3.11 (macOS arm64)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"f7bbc9d8-8147-4451-95c2-653d73dea36a","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"38443754-8079-4c29-b022-d7f16a5d86b9","isSidechain":false,"attachment":{"type":"task_reminder","content":[{"id":"20","subject":"Track A-3: 本地 cross-compile 验证","description":"用 bun build --compile --target=bun-darwin-arm64 本机出 binary,验证 ./cxs --version / current bad path / sync empty 都跑通。不依赖 GH Actions。","activeForm":"Local cross-compile sanity","status":"in_progress","blocks":[],"blockedBy":[]},{"id":"21","subject":"Track B: Node 化 plan (EnterPlanMode)","description":"设计 bun:sqlite → better-sqlite3 迁移、tsc dist build、bin/cxs 改 node 入口、files 字段切到 dist/。需要先 plan 因为 API 兼容性问题(db.query vs db.prepare、setCustomSQLite、transaction 闭包风格)。","activeForm":"Planning Node migration","status":"pending","blocks":[],"blockedBy":[]},{"id":"18","subject":"Track A-1: GH Actions binary release workflow","description":"写 .github/workflows/release.yml,matrix 5 platform (darwin-arm64 / darwin-x64 / linux-x64 / linux-arm64 / windows-x64),用 bun build --compile 跨平台 compile,upload to release。tag push v* 或 workflow_dispatch 触发。","activeForm":"Authoring release workflow","status":"completed","blocks":[],"blockedBy":[]},{"id":"19","subject":"Track A-2: install script 与 README quick install","description":"scripts/install.sh:detect uname → curl 对应 binary → chmod +x 到 ~/.local/bin/cxs。README 加 Quick Install section 放最前。SKILL.md 的 install guide 链接更新到推荐 binary install。","activeForm":"Adding install script + README","status":"pending","blocks":[],"blockedBy":[]}],"itemCount":4},"type":"attachment","uuid":"0d84708c-17b1-480e-8b4a-2d9b54d2fce9","timestamp":"2026-04-27T06:52:46.136Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"0d84708c-17b1-480e-8b4a-2d9b54d2fce9","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_017LixaG6dkjWCSHPsEArWL3","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2201,"cache_read_input_tokens":303286,"output_tokens":391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2201},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":391,"cache_read_input_tokens":303286,"cache_creation_input_tokens":2201,"cache_creation":{"ephemeral_5m_input_tokens":2201,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"33b16d1c-4e28-4dff-90da-d2871990fca3","timestamp":"2026-04-27T06:52:55.227Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"33b16d1c-4e28-4dff-90da-d2871990fca3","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_017LixaG6dkjWCSHPsEArWL3","type":"message","role":"assistant","content":[{"type":"text","text":"**第三个 P0 bug**:`env.ts` 里 `DATA_DIR` 用 `__dirname` 解析,在 standalone binary 里指向 read-only `/$bunfs/data`,`mkdirSync` EROFS。看 env.ts。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2201,"cache_read_input_tokens":303286,"output_tokens":391,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2201},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":391,"cache_read_input_tokens":303286,"cache_creation_input_tokens":2201,"cache_creation":{"ephemeral_5m_input_tokens":2201,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"c9f154e4-0ff6-463d-8d9d-4fadbe2ba568","timestamp":"2026-04-27T06:52:56.517Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1032
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1033
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{"parentUuid":"a886a67a-520f-4b39-b559-be60631c6050","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01JPFFbTWo4yazR6tbws9VFv","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"3d2ca572-c2a4-4000-afd5-e5a7cb776859","timestamp":"2026-04-27T06:52:56.705Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"a886a67a-520f-4b39-b559-be60631c6050","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JPFFbTWo4yazR6tbws9VFv","type":"tool_result","content":"1\timport { existsSync, mkdirSync } from \"node:fs\";\n2\timport { homedir } from \"node:os\";\n3\timport { resolve } from \"node:path\";\n4\t\n5\tconst ROOT = resolve(import.meta.dir);\n6\tconst DATA_DIR = resolve(ROOT, \"data\");\n7\t\n8\texport const DEFAULT_DB_PATH = resolve(DATA_DIR, \"index.sqlite\");\n9\texport const DEFAULT_CODEX_DIR = resolve(homedir(), \".codex\", \"sessions\");\n10\texport const CODEX_TITLE_INDEX_PATH = resolve(homedir(), \".codex\", \"session_index.jsonl\");\n11\texport const DEFAULT_CODEX_STATE_DB_PATH = resolve(homedir(), \".codex\", \"state_5.sqlite\");\n12\texport const INDEX_VERSION = \"cxs-v5-session-field-weights\";\n13\t\n14\texport function ensureDataDir(): void {\n15\t if (!existsSync(DATA_DIR)) {\n16\t mkdirSync(DATA_DIR, { recursive: true });\n17\t }\n18\t}\n19\t\n20\texport function resolveCodexDir(override?: string): string {\n21\t return override ? resolve(override) : DEFAULT_CODEX_DIR;\n22\t}\n23\t"}]},"uuid":"733507dd-1176-43d0-9f23-16a5ff7b056b","timestamp":"2026-04-27T06:52:56.718Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/env.ts","content":"import { existsSync, mkdirSync } from \"node:fs\";\nimport { homedir } from \"node:os\";\nimport { resolve } from \"node:path\";\n\nconst ROOT = resolve(import.meta.dir);\nconst DATA_DIR = resolve(ROOT, \"data\");\n\nexport const DEFAULT_DB_PATH = resolve(DATA_DIR, \"index.sqlite\");\nexport const DEFAULT_CODEX_DIR = resolve(homedir(), \".codex\", \"sessions\");\nexport const CODEX_TITLE_INDEX_PATH = resolve(homedir(), \".codex\", \"session_index.jsonl\");\nexport const DEFAULT_CODEX_STATE_DB_PATH = resolve(homedir(), \".codex\", \"state_5.sqlite\");\nexport const INDEX_VERSION = \"cxs-v5-session-field-weights\";\n\nexport function ensureDataDir(): void {\n if (!existsSync(DATA_DIR)) {\n mkdirSync(DATA_DIR, { recursive: true });\n }\n}\n\nexport function resolveCodexDir(override?: string): string {\n return override ? resolve(override) : DEFAULT_CODEX_DIR;\n}\n","numLines":23,"startLine":1,"totalLines":23}},"sourceToolAssistantUUID":"a886a67a-520f-4b39-b559-be60631c6050","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"189d6f3b-4f53-4d27-8dc3-90bf266c29bd","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_014vjhkGfU2fMmF2GxHwisRo","type":"message","role":"assistant","content":[{"type":"text","text":"**架构层 bug**:`DATA_DIR = resolve(__dirname, \"data\")` 是 *相对仓库根* 的路径。standalone binary 跑到 `/$bunfs/data` 触发 EROFS;`npm i -g` 也会污染 `node_modules/cxs/data` 或者权限不够。修法:默认搬到 `~/.cache/cxs`,允许 `CXS_DATA_DIR` 覆盖。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":854,"cache_read_input_tokens":305487,"output_tokens":2846,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":854},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":2846,"cache_read_input_tokens":305487,"cache_creation_input_tokens":854,"cache_creation":{"ephemeral_5m_input_tokens":854,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"0af7168f-7777-4d8a-9e30-1a39debebe91","timestamp":"2026-04-27T06:53:24.776Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"0af7168f-7777-4d8a-9e30-1a39debebe91","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_014vjhkGfU2fMmF2GxHwisRo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XP9cXpWKPGSeic3Bw7cjfD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/env.ts","old_string":"import { existsSync, mkdirSync } from \"node:fs\";\nimport { homedir } from \"node:os\";\nimport { resolve } from \"node:path\";\n\nconst ROOT = resolve(import.meta.dir);\nconst DATA_DIR = resolve(ROOT, \"data\");\n\nexport const DEFAULT_DB_PATH = resolve(DATA_DIR, \"index.sqlite\");\nexport const DEFAULT_CODEX_DIR = resolve(homedir(), \".codex\", \"sessions\");\nexport const CODEX_TITLE_INDEX_PATH = resolve(homedir(), \".codex\", \"session_index.jsonl\");\nexport const DEFAULT_CODEX_STATE_DB_PATH = resolve(homedir(), \".codex\", \"state_5.sqlite\");\nexport const INDEX_VERSION = \"cxs-v5-session-field-weights\";\n\nexport function ensureDataDir(): void {\n if (!existsSync(DATA_DIR)) {\n mkdirSync(DATA_DIR, { recursive: true });\n }\n}\n\nexport function resolveCodexDir(override?: string): string {\n return override ? resolve(override) : DEFAULT_CODEX_DIR;\n}","new_string":"import { existsSync, mkdirSync } from \"node:fs\";\nimport { homedir } from \"node:os\";\nimport { resolve } from \"node:path\";\n\n// Why: previously DATA_DIR was resolve(import.meta.dir, \"data\"), which works\n// for dev checkouts but breaks for both `npm i -g cxs` (writes into\n// node_modules) and `bun build --compile` (writes into the read-only\n// /$bunfs virtual fs). Default to ~/.cache/cxs (XDG cache convention) and\n// let CXS_DATA_DIR override.\nconst DATA_DIR = process.env.CXS_DATA_DIR\n ? resolve(process.env.CXS_DATA_DIR)\n : resolve(homedir(), \".cache\", \"cxs\");\n\nexport const DEFAULT_DB_PATH = resolve(DATA_DIR, \"index.sqlite\");\nexport const DEFAULT_CODEX_DIR = resolve(homedir(), \".codex\", \"sessions\");\nexport const CODEX_TITLE_INDEX_PATH = resolve(homedir(), \".codex\", \"session_index.jsonl\");\nexport const DEFAULT_CODEX_STATE_DB_PATH = resolve(homedir(), \".codex\", \"state_5.sqlite\");\nexport const INDEX_VERSION = \"cxs-v5-session-field-weights\";\n\nexport function ensureDataDir(): void {\n if (!existsSync(DATA_DIR)) {\n mkdirSync(DATA_DIR, { recursive: true });\n }\n}\n\nexport function resolveCodexDir(override?: string): string {\n return override ? resolve(override) : DEFAULT_CODEX_DIR;\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":854,"cache_read_input_tokens":305487,"output_tokens":2846,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":854},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":2846,"cache_read_input_tokens":305487,"cache_creation_input_tokens":854,"cache_creation":{"ephemeral_5m_input_tokens":854,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"1af51b48-2b8d-4071-8b3f-b9e82a8d7b54","timestamp":"2026-04-27T06:53:32.506Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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1046
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{"parentUuid":"ac4ee2f7-37db-4c60-9fab-880cd16521a2","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TDNtmFghj6ZqHcXtkU9TYr","type":"tool_result","content":" 43 pass\n 0 fail\n 148 expect() calls\nRan 43 tests across 7 files. [1.56s]\n---rebuild binary---\n [5ms] bundle 23 modules\n [202ms] compile /tmp/cxs-binary-test/cxs-darwin-arm64\n---version---\n0.1.0\n---sync default db (now ~/.cache/cxs)---\n{\n \"scanned\": 0,\n \"added\": 0,\n \"updated\": 0,\n \"skipped\": 0,\n \"filtered\": 0,\n \"errors\": 0,\n \"errorDetails\": []\n}\n(exit 0)\n---stats with override---\n{\n \"sessionCount\": 0,\n \"messageCount\": 0,\n \"earliestStartedAt\": null,\n \"latestEndedAt\": null,\n \"topCwds\": [],\n \"indexVersion\": \"cxs-v5-session-field-weights\",\n[rerun: b46]","is_error":false}]},"uuid":"a83954bb-d09a-4569-a5ab-4051b900f3cc","timestamp":"2026-04-27T06:53:43.709Z","toolUseResult":{"stdout":" 43 pass\n 0 fail\n 148 expect() calls\nRan 43 tests across 7 files. [1.56s]\n---rebuild binary---\n [5ms] bundle 23 modules\n [202ms] compile /tmp/cxs-binary-test/cxs-darwin-arm64\n---version---\n0.1.0\n---sync default db (now ~/.cache/cxs)---\n{\n \"scanned\": 0,\n \"added\": 0,\n \"updated\": 0,\n \"skipped\": 0,\n \"filtered\": 0,\n \"errors\": 0,\n \"errorDetails\": []\n}\n(exit 0)\n---stats with override---\n{\n \"sessionCount\": 0,\n \"messageCount\": 0,\n \"earliestStartedAt\": null,\n \"latestEndedAt\": null,\n \"topCwds\": [],\n \"indexVersion\": \"cxs-v5-session-field-weights\",","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"ac4ee2f7-37db-4c60-9fab-880cd16521a2","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"4809dd1a-8abe-47a9-b729-50335b9f49df","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lpu6XBd5bCvesJYCGzAhLu","type":"tool_result","content":"File created successfully at: /Users/envvar/work/repos/cxs/scripts/install.sh"}]},"uuid":"f1dd882b-dfc1-40a9-883a-66d8d92f47f4","timestamp":"2026-04-27T06:54:18.120Z","toolUseResult":{"type":"create","filePath":"/Users/envvar/work/repos/cxs/scripts/install.sh","content":"#!/usr/bin/env bash\n# Install the cxs CLI from a GitHub Release binary.\n#\n# Usage:\n# curl -fsSL https://raw.githubusercontent.com/catoncat/cxs/main/scripts/install.sh | bash\n#\n# Override the destination with CXS_INSTALL_DIR (default: ~/.local/bin).\n\nset -euo pipefail\n\nOWNER=\"catoncat\"\nREPO=\"cxs\"\nINSTALL_DIR=\"${CXS_INSTALL_DIR:-$HOME/.local/bin}\"\n\nOS=\"$(uname -s | tr '[:upper:]' '[:lower:]')\"\nARCH_RAW=\"$(uname -m)\"\n\ncase \"$ARCH_RAW\" in\n arm64|aarch64) ARCH=\"arm64\" ;;\n x86_64|amd64) ARCH=\"x64\" ;;\n *) echo \"unsupported arch: $ARCH_RAW\" >&2; exit 1 ;;\nesac\n\ncase \"$OS\" in\n darwin) EXT=\"\"; PLATFORM=\"darwin-$ARCH\" ;;\n linux) EXT=\"\"; PLATFORM=\"linux-$ARCH\" ;;\n msys*|cygwin*|mingw*) EXT=\".exe\"; PLATFORM=\"windows-$ARCH\" ;;\n *) echo \"unsupported os: $OS\" >&2; exit 1 ;;\nesac\n\nASSET=\"cxs-${PLATFORM}${EXT}\"\nURL=\"https://github.com/${OWNER}/${REPO}/releases/latest/download/${ASSET}\"\n\nmkdir -p \"$INSTALL_DIR\"\nTARGET=\"$INSTALL_DIR/cxs${EXT}\"\n\necho \"downloading $ASSET from $URL\"\ncurl -fsSL --proto '=https' --tlsv1.2 -o \"$TARGET\" \"$URL\"\nchmod +x \"$TARGET\"\n\necho\necho \"installed: $TARGET\"\necho\n\"$TARGET\" --version || {\n echo \"warning: just-installed binary failed to run; remove $TARGET and retry\" >&2\n exit 1\n}\n\ncase \":$PATH:\" in\n *\":$INSTALL_DIR:\"*)\n echo\n echo \"ready: cxs --help\"\n ;;\n *)\n echo\n echo \"tip: $INSTALL_DIR is not in PATH yet; add to your shell rc:\"\n echo \" export PATH=\\\"$INSTALL_DIR:\\$PATH\\\"\"\n ;;\nesac\n","structuredPatch":[],"originalFile":null,"userModified":false},"sourceToolAssistantUUID":"4809dd1a-8abe-47a9-b729-50335b9f49df","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"113f557a-e7f7-4bb1-910b-4e835adf4054","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"toolu_01T6U3HbTnpCojbMMWx1Q8Gj","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"1ab09db1-406e-42de-a279-d99cd65e1a99","timestamp":"2026-04-27T06:54:21.893Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"113f557a-e7f7-4bb1-910b-4e835adf4054","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T6U3HbTnpCojbMMWx1Q8Gj","type":"tool_result","content":"28\t- `cxs read-page <sessionUuid>`\n29\t- `cxs list`\n30\t- `cxs stats`\n31\t- `cxs current`\n32\t\n33\t## 安装\n34\t\n35\t```bash\n36\tbun install\n37\t```\n38\t\n39\t## CLI Install Guide\n40\t\n41\t`cxs` 目前推荐从源码安装，适合本机工具或 agent sidecar 使用：\n42\t\n43\t```bash\n44\tgit clone https://github.com/catoncat/cxs.git\n45\tcd cxs\n46\tbun install\n47\texport CXS_BIN=\"$PWD/bin/cxs\"\n48\t\"$CXS_BIN\" --version\n49\t\"$CXS_BIN\" --help\n50\t```\n51\t\n52\t`--version` 应输出当前 `package.json` 里的版本号；`--help` 应显示 `sync`、`find`、`read-range`、`read-page`、`list`、`stats`、`current`。\n53\t\n54\t首次使用前建立索引：\n55\t\n56\t```bash\n57\t\"$CXS_BIN\" sync\n58\t\"$CXS_BIN\" stats --json\n59\t```\n60\t\n61\t如果希望直接使用 `cxs` 命令，可以把仓库里的启动脚本链接到 PATH：\n62\t\n63\t```bash\n64\tmkdir -p ~/bin\n65\tln -sf \"$PWD/bin/cxs\" ~/bin/cxs\n66\texport PATH=\"$HOME/bin:$PATH\"\n67\tcxs --version\n68\t```\n69\t\n70\t要求：\n71\t\n72\t- Bun `>= 1.3`\n73\t- 本机可读取 `~/.codex/sessions`\n74\t- 默认会在仓库内使用 `./data/index.sqlite` 作为索引库\n75\t\n76\t## 用法\n77\t"}]},"uuid":"66385b90-0d76-461e-890e-313dfb65b28d","timestamp":"2026-04-27T06:54:21.896Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/README.md","content":"- `cxs read-page <sessionUuid>`\n- `cxs list`\n- `cxs stats`\n- `cxs current`\n\n## 安装\n\n```bash\nbun install\n```\n\n## CLI Install Guide\n\n`cxs` 目前推荐从源码安装，适合本机工具或 agent sidecar 使用：\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nbun install\nexport CXS_BIN=\"$PWD/bin/cxs\"\n\"$CXS_BIN\" --version\n\"$CXS_BIN\" --help\n```\n\n`--version` 应输出当前 `package.json` 里的版本号；`--help` 应显示 `sync`、`find`、`read-range`、`read-page`、`list`、`stats`、`current`。\n\n首次使用前建立索引：\n\n```bash\n\"$CXS_BIN\" sync\n\"$CXS_BIN\" stats --json\n```\n\n如果希望直接使用 `cxs` 命令，可以把仓库里的启动脚本链接到 PATH：\n\n```bash\nmkdir -p ~/bin\nln -sf \"$PWD/bin/cxs\" ~/bin/cxs\nexport PATH=\"$HOME/bin:$PATH\"\ncxs --version\n```\n\n要求：\n\n- Bun `>= 1.3`\n- 本机可读取 `~/.codex/sessions`\n- 默认会在仓库内使用 `./data/index.sqlite` 作为索引库\n\n## 用法\n","numLines":50,"startLine":28,"totalLines":245}},"sourceToolAssistantUUID":"113f557a-e7f7-4bb1-910b-4e835adf4054","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"66385b90-0d76-461e-890e-313dfb65b28d","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01QTnVtvkr2mGiRyNCVv49dp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NNYbGdkoRpNkrUTA5CTDkF","name":"Edit","input":{"replace_all":false,"file_path":"/Users/envvar/work/repos/cxs/README.md","old_string":"## 安装\n\n```bash\nbun install\n```\n\n## CLI Install Guide\n\n`cxs` 目前推荐从源码安装，适合本机工具或 agent sidecar 使用：\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nbun install\nexport CXS_BIN=\"$PWD/bin/cxs\"\n\"$CXS_BIN\" --version\n\"$CXS_BIN\" --help\n```\n\n`--version` 应输出当前 `package.json` 里的版本号；`--help` 应显示 `sync`、`find`、`read-range`、`read-page`、`list`、`stats`、`current`。\n\n首次使用前建立索引：\n\n```bash\n\"$CXS_BIN\" sync\n\"$CXS_BIN\" stats --json\n```\n\n如果希望直接使用 `cxs` 命令，可以把仓库里的启动脚本链接到 PATH：\n\n```bash\nmkdir -p ~/bin\nln -sf \"$PWD/bin/cxs\" ~/bin/cxs\nexport PATH=\"$HOME/bin:$PATH\"\ncxs --version\n```\n\n要求：\n\n- Bun `>= 1.3`\n- 本机可读取 `~/.codex/sessions`\n- 默认会在仓库内使用 `./data/index.sqlite` 作为索引库","new_string":"## CLI Install Guide\n\n### 一行安装(推荐:零依赖)\n\n从 GitHub Release 拉对应平台的 standalone binary,自动放到 `~/.local/bin/cxs`,**不需要预装 Bun 或 Node**:\n\n```bash\ncurl -fsSL https://raw.githubusercontent.com/catoncat/cxs/main/scripts/install.sh | bash\n```\n\n支持平台:darwin-arm64 / darwin-x64 / linux-x64 / linux-arm64 / windows-x64。如果 `~/.local/bin` 不在 PATH,脚本会提示;或先 `export CXS_INSTALL_DIR=/usr/local/bin` 再跑。\n\n### 从源码(开发者 / 需要 PR / Bun 路线)\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nbun install\nexport CXS_BIN=\"$PWD/bin/cxs\"\n\"$CXS_BIN\" --version\n\"$CXS_BIN\" --help\n```\n\n`--help` 应列出 `sync` / `find` / `read-range` / `read-page` / `list` / `stats` / `current`。\n\n### 首次使用建立索引\n\n```bash\ncxs sync # 装的是 standalone binary\n# 或 \"$CXS_BIN\" sync # 装的是源码模式\ncxs stats --json\n```\n\n### 数据目录\n\n索引默认写到 `~/.cache/cxs/index.sqlite`(XDG cache 约定),可用 `CXS_DATA_DIR` 环境变量覆盖:\n\n```bash\nexport CXS_DATA_DIR=\"$HOME/.config/cxs\"\n```\n\n### 要求\n\n- 本机可读 `~/.codex/sessions`\n- 源码模式需 Bun `>= 1.3`;binary 模式无运行时依赖"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3689,"cache_read_input_tokens":310012,"output_tokens":1209,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3689},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1209,"cache_read_input_tokens":310012,"cache_creation_input_tokens":3689,"cache_creation":{"ephemeral_5m_input_tokens":3689,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"95b57d32-1f93-498b-830f-36fa0f1118bf","timestamp":"2026-04-27T06:54:35.317Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
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{"parentUuid":"95b57d32-1f93-498b-830f-36fa0f1118bf","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NNYbGdkoRpNkrUTA5CTDkF","type":"tool_result","content":"The file /Users/envvar/work/repos/cxs/README.md has been updated successfully."}]},"uuid":"8d860ece-a3d2-45e9-8219-09533ef45be6","timestamp":"2026-04-27T06:54:35.344Z","toolUseResult":{"filePath":"/Users/envvar/work/repos/cxs/README.md","oldString":"## 安装\n\n```bash\nbun install\n```\n\n## CLI Install Guide\n\n`cxs` 目前推荐从源码安装，适合本机工具或 agent sidecar 使用：\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nbun install\nexport CXS_BIN=\"$PWD/bin/cxs\"\n\"$CXS_BIN\" --version\n\"$CXS_BIN\" --help\n```\n\n`--version` 应输出当前 `package.json` 里的版本号；`--help` 应显示 `sync`、`find`、`read-range`、`read-page`、`list`、`stats`、`current`。\n\n首次使用前建立索引：\n\n```bash\n\"$CXS_BIN\" sync\n\"$CXS_BIN\" stats --json\n```\n\n如果希望直接使用 `cxs` 命令，可以把仓库里的启动脚本链接到 PATH：\n\n```bash\nmkdir -p ~/bin\nln -sf \"$PWD/bin/cxs\" ~/bin/cxs\nexport PATH=\"$HOME/bin:$PATH\"\ncxs --version\n```\n\n要求：\n\n- Bun `>= 1.3`\n- 本机可读取 `~/.codex/sessions`\n- 默认会在仓库内使用 `./data/index.sqlite` 作为索引库","newString":"## CLI Install Guide\n\n### 一行安装(推荐:零依赖)\n\n从 GitHub Release 拉对应平台的 standalone binary,自动放到 `~/.local/bin/cxs`,**不需要预装 Bun 或 Node**:\n\n```bash\ncurl -fsSL https://raw.githubusercontent.com/catoncat/cxs/main/scripts/install.sh | bash\n```\n\n支持平台:darwin-arm64 / darwin-x64 / linux-x64 / linux-arm64 / windows-x64。如果 `~/.local/bin` 不在 PATH,脚本会提示;或先 `export CXS_INSTALL_DIR=/usr/local/bin` 再跑。\n\n### 从源码(开发者 / 需要 PR / Bun 路线)\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nbun install\nexport CXS_BIN=\"$PWD/bin/cxs\"\n\"$CXS_BIN\" --version\n\"$CXS_BIN\" --help\n```\n\n`--help` 应列出 `sync` / `find` / `read-range` / `read-page` / `list` / `stats` / `current`。\n\n### 首次使用建立索引\n\n```bash\ncxs sync # 装的是 standalone binary\n# 或 \"$CXS_BIN\" sync # 装的是源码模式\ncxs stats --json\n```\n\n### 数据目录\n\n索引默认写到 `~/.cache/cxs/index.sqlite`(XDG cache 约定),可用 `CXS_DATA_DIR` 环境变量覆盖:\n\n```bash\nexport CXS_DATA_DIR=\"$HOME/.config/cxs\"\n```\n\n### 要求\n\n- 本机可读 `~/.codex/sessions`\n- 源码模式需 Bun `>= 1.3`;binary 模式无运行时依赖","originalFile":"# cxs\n\n`cxs` 是一个面向本机 Codex 会话日志的渐进式检索 CLI。\n\n它的目标不是“返回整场对话全文”，而是给 agent 或人一个低噪音的读取路径：\n\n`sync -> find -> read-range/read-page`\n\n## 适用场景\n\n- 查“之前那个 session 里是怎么修的”\n- 按关键词找最近的 Codex 历史\n- 先拿候选 session，再围绕命中点局部展开\n- 给 sidecar / GUI 工具提供本地 session retrieval engine\n\n## 非目标\n\n- 不做实时 watcher / daemon / 自动 sync\n- 不做 GUI\n- 不直接绑定 live in-flight thread\n- 不返回未裁剪的全文默认输出\n\n当前命令面：\n\n- `cxs sync`\n- `cxs find <query>`\n- `cxs read-range <sessionUuid>`\n- `cxs read-page <sessionUuid>`\n- `cxs list`\n- `cxs stats`\n- `cxs current`\n\n## 安装\n\n```bash\nbun install\n```\n\n## CLI Install Guide\n\n`cxs` 目前推荐从源码安装，适合本机工具或 agent sidecar 使用：\n\n```bash\ngit clone https://github.com/catoncat/cxs.git\ncd cxs\nbun install\nexport CXS_BIN=\"$PWD/bin/cxs\"\n\"$CXS_BIN\" --version\n\"$CXS_BIN\" --help\n```\n\n`--version` 应输出当前 `package.json` 里的版本号；`--help` 应显示 `sync`、`find`、`read-range`、`read-page`、`list`、`stats`、`current`。\n\n首次使用前建立索引：\n\n```bash\n\"$CXS_BIN\" sync\n\"$CXS_BIN\" stats --json\n```\n\n如果希望直接使用 `cxs` 命令，可以把仓库里的启动脚本链接到 PATH：\n\n```bash\nmkdir -p ~/bin\nln -sf \"$PWD/bin/cxs\" ~/bin/cxs\nexport PATH=\"$HOME/bin:$PATH\"\ncxs --version\n```\n\n要求：\n\n- Bun `>= 1.3`\n- 本机可读取 `~/.codex/sessions`\n- 默认会在仓库内使用 `./data/index.sqlite` 作为索引库\n\n## 用法\n\n默认会读取：\n\n- Codex sessions：`~/.codex/sessions`\n- 标题索引：`~/.codex/session_index.jsonl`\n- SQLite 索引：项目内 `./data/index.sqlite`\n\n先建立索引：\n\n```bash\n./bin/cxs sync\n```\n\n`sync` 默认是严格模式：任一文件解析或写库失败都会带着 per-file 诊断非零退出，并且不会提交半截索引。只有显式传 `--best-effort` 时，才会继续写入成功部分。\n\n搜索会话：\n\n```bash\n./bin/cxs find \"health check\"\n```\n\n`find` 会返回标题、派生的 session summary，以及当前锚点 snippet，方便先做轻量筛选再决定是否 `read-range`。如果命中只来自 session-level title/summary/compact/reasoning summary，结果会标为 `matchSource = \"session\"`，这时先用 `read-page` 浏览整场会话。\n\n围绕命中点读取局部上下文：\n\n```bash\n./bin/cxs read-range <sessionUuid> --seq 12\n./bin/cxs read-range <sessionUuid> --query \"health check\"\n```\n\n分页读取整场会话：\n\n```bash\n./bin/cxs read-page <sessionUuid> --offset 0 --limit 20\n```\n\n列出已索引 session（不做全文检索）：\n\n```bash\n./bin/cxs list --limit 20\n./bin/cxs list --cwd hammerspoon --since 2026-04-01 --sort ended\n```\n\n索引状态：\n\n```bash\n./bin/cxs stats\n```\n\n## 快速开始\n\n首次使用建议按下面顺序：\n\n```bash\nbun install\n./bin/cxs sync\n./bin/cxs find \"health check\"\n./bin/cxs read-range <sessionUuid> --seq <matchSeq>\n```\n\n如果你已经知道当前项目路径，也可以先缩范围：\n\n```bash\n./bin/cxs list --cwd /Users/you/work/project --sort ended -n 10\n```\n\n## 当前实现边界\n\n当前 retrieval 主链是：\n\n`message/session recall -> session heuristic rerank -> read-range/read-page`\n\n已经落地的能力：\n\n- `messages_fts` 驱动的候选召回\n- `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)` 驱动的 session-level 召回\n- `summary_text` 派生摘要\n- JSONL `type=compacted` handoff 与 `response_item.reasoning.summary` 低成本接入\n- session-level FTS 字段权重：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n- session 级 heuristic rerank\n- manual eval 导出与 batch compare\n\n还没落地的能力：\n\n- 真正的 resource-level reranker\n- duplicate collapse / diversity control\n\n更完整的实现说明见 [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md)，后续路线见 [docs/ROADMAP.md](docs/ROADMAP.md)。\n\n## 常见问题\n\n### 为什么 `find` 没搜到我刚刚的 session？\n\n先看索引时间：\n\n```bash\n./bin/cxs stats --json\n```\n\n如果 `lastSyncAt` 很旧，先重新同步：\n\n```bash\n./bin/cxs sync\n```\n\n### 为什么有些中文短 query 命中不稳定？\n\n当前主召回仍以 message FTS 为主，极少数零 token CJK query 才会回退到 LIKE。短 query 本身信息量低，建议换成更长的词组或加项目上下文。\n\n### 为什么不做自动实时同步？\n\n这是刻意的产品边界。当前接受“手动触发的增量 sync”，而不是 watcher/daemon。\n\n## 开发\n\n运行测试：\n\n```bash\nbun test\n```\n\n跑手工评测：\n\n```bash\nbun run eval:manual\n```\n\n`eval:manual` 的 pass 判定现在采用 “Top-K 窗口内所有已配置 predicate 都必须命中” 的语义，并会把 predicate 级别结果写进导出 README/scorecard，避免单个弱命中把整条 query 误记为通过。\n\n对比两次评测批次的 Top1 变化：\n\n```bash\nbun run ./eval/compare-eval-batches.ts data/cxs-eval/<before-batch> data/cxs-eval/<after-batch>\n```\n\n## 开源协作\n\n- 项目规则见 [AGENTS.md](AGENTS.md)\n- 协作说明见 [CONTRIBUTING.md](CONTRIBUTING.md)\n- 当前公开目标是“可接手、可验证、可继续演进”的源码仓库，不承诺 npm 发布流程稳定\n\n## 配套 Skill\n\n仓库内自带一个项目共享 skill：\n\n- `.agents/skills/cxs`\n\n推荐用 `npx skills add` 安装，而不是手动复制：\n\n```bash\nnpx skills add catoncat/cxs --skill cxs -g -a codex -y\n```\n\n如果只想先看仓库里有哪些 skill：\n\n```bash\nnpx skills add catoncat/cxs --list\n```\n\nCLI install guide:\n\n`https://github.com/catoncat/cxs#cli-install-guide`\n\n注意：\n\n- `npx skills add` 只安装 agent skill，不安装 CLI 本体\n- 安装或更新 skill 后，需要重启 Codex / 开新 session 才会被 agent 发现\n- 推荐先按 CLI install guide 让 `cxs` 可执行，或设置 `CXS_BIN=/absolute/path/to/bin/cxs`\n","structuredPatch":[{"oldStart":30,"oldLines":15,"newStart":30,"newLines":19,"lines":[" - `cxs stats`"," - `cxs current`"," ","-## 安装","+## CLI Install Guide"," ","+### 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1074
+
{"parentUuid":"4d7e9584-d61b-4665-91d9-5da323006ff7","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_014kjh5HL3cQ2kPTR7UnBQDq","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"307a9cf8-171a-4b52-a7e0-4e2efe5e80c1","timestamp":"2026-04-27T06:54:40.666Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1075
+
{"parentUuid":"307a9cf8-171a-4b52-a7e0-4e2efe5e80c1","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Bash","toolUseID":"toolu_014kjh5HL3cQ2kPTR7UnBQDq","hookEvent":"PreToolUse","content":"","stdout":"{\n \"hookSpecificOutput\": {\n \"hookEventName\": \"PreToolUse\",\n \"permissionDecision\": \"allow\",\n \"permissionDecisionReason\": \"RTK auto-rewrite\",\n \"updatedInput\": {\n \"command\": \"rtk git status -s && echo \\\"---\\\" && rtk git diff --stat\",\n \"description\": \"Pre-commit status\"\n }\n }\n}\n","stderr":"","exitCode":0,"command":"/Users/envvar/.claude/hooks/rtk-rewrite.sh","durationMs":57},"type":"attachment","uuid":"0454b77a-c57f-4064-8871-c8742e20e6ca","timestamp":"2026-04-27T06:54:40.703Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1076
+
{"parentUuid":"4d7e9584-d61b-4665-91d9-5da323006ff7","isSidechain":false,"promptId":"3a8ba1da-64ce-40ea-872f-83ebaf693c56","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014kjh5HL3cQ2kPTR7UnBQDq","type":"tool_result","content":" M README.md\n M cli.ts\n M env.ts\n?? .github/workflows/release.yml\n?? scripts/---\nREADME.md | 37 ++++++++++++++++++++-----------------\n cli.ts | 14 +++-----------\n env.ts | 10 ++++++++--\n 3 files changed, 31 insertions(+), 30 deletions(-)\n[rerun: b48]","is_error":false}]},"uuid":"f643733e-2167-4a0d-b1c4-a201b5b7fe75","timestamp":"2026-04-27T06:54:40.786Z","toolUseResult":{"stdout":" M README.md\n M cli.ts\n M env.ts\n?? .github/workflows/release.yml\n?? scripts/---\nREADME.md | 37 ++++++++++++++++++++-----------------\n cli.ts | 14 +++-----------\n env.ts | 10 ++++++++--\n 3 files changed, 31 insertions(+), 30 deletions(-)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"4d7e9584-d61b-4665-91d9-5da323006ff7","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1077
+
{"parentUuid":"f643733e-2167-4a0d-b1c4-a201b5b7fe75","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01W5yuY3DCRFSuV8vVSUoaCi","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"ErkQClkIDRgCKkBnQgDsBgO2CnIFYlLG+rFQxs5A3bvtQF5N7yVmMjIv/GZDNUZuMgdiJxbKo6pYGWx6+/S8gtS+NWBC+Q9McrXzMg9jbGF1ZGUtb3B1cy00LTc4ABIM6l3LVVJXP1dTMZGWGgxH5+g5AbtND1B5B3ciMEBI97CAJ59O4e8F0c19ywDUDh64kAa3jz3L6OFZjX+xQTrWuksuakeXlh1TjvxUlCqND4Npk5RLq0vnz96wrim/+uflSwAS/x3L4U22/TAJRgrJ9PJYDmR5XSQovI+U0eZslPJWxSqJrm23xZpbDLN22qWBn7kkMcUZTPwbX1FbdhLdClaGV1y3MDs7/mnCmGcPqEbUArOGzt9aEeMT27jE2wPIYoDuqxbzlv35Y1c7Y7Qphov1LR/t27YyOvOfnC1Q5bno3TAQtHYn8x/LokPv6BnCH9wvc0Vr9d/9YnppBbbnWFGJGqzaHQoftZN4uBoYTrj9Q1BnyQV1gzFKe0HBAD2mRpolUvg8DLEuG85m29SCBdxb0G/MPjsRkBkJkVeM8SFj+96iS1xeFrSWtxoWwv7rKmIpUv1iyyfZQOrscy5o/e6AM0Kp1ZlWHTx5kZT80651VPNr2BoeS7p4IidNkv4AQ0H7c2YsHlIRw6EKJq85wHhQmDgjSJALAkceHuMSQyyX/OenJU7z7mtzStGMhXNGAbBZauHxB2HSB3VPYPLs93RZ45bV07EbkElv6Ll3ppPXv1refciqEqtR8Ryb+R8tQNWEFkzKTekkU7spBNT8yj5CBv1FHgGgr1FbIMxxzUC37lcd3e/z3QWIaViad3uloLD37c/YgaQVRn3pys7QsUVERC+8zQBHwN9/STgkJCLPOkne2o4f/tUWDpGzB51vC1isFdkFclfRYJjuogdeFQojHxDHYDFmWaivCwY/ZmHDdIUv5oNzJdaQhn1xFRUx3tqS9fWiPICOc3inrTcFGz0y6Umj3ODj2zUcV9VgHNXHL4AYti9HEPp8H5g1MMzkzyGdGepW7k6StewIag/hn3kr+3fCHYta3/PLsWPzgbJHkuVYCiY29BaYzjEKYBW0OvefRZav2G0B5vzqEA8zw0SmrbTg3/OCZgboFmXH2WR5OswFuAs8gqys80tzy1hyyfAWwiIl275QpLD8831ALKU9x44u97nlgF77NJ8aJFUuKumYuYpIpvGNnRygvSU2n3VI1jhxsK8lr+pXCu8/auqpyKzEiairRgUv553ZBnwnraWczM6WafnCe1595qawUvyOh1HHKJEwNE1KjAiqqYH1yNbIMVir1sUw/CiYl6/2Sesu+izCbmps0C3ka3zuibqPwcSH/269KvtsZnJtFSNYeeQy19ZIz3zZA2fZ+n1c7qyykVzwy17IvjRrvo1Vb9YHvP8hS0DCf1P4kTNvYHV0NPXumx29G3ePZ6aybApJW5v11adksKRA7JO99sXUGQlyFJeFbYp8ukq+fiMd9NLHj3eWY4vfDM947Eefw/uiB7OKGoRN/rW9d2H3dxuUcE7QetvizE9DleRBKG0gqoc+gdg5zKk+2AGALCehivae5RI9cxvynalfu7uhfMvKZv4eRqcSyhZWSV+SgTqqxtdAPN8zaXrbgmoIrgDfmbLsooYm8U3omJVDNeNFuQedW+RxHPBqlUmZdHhalPBKQ7mUqt2fku+Bb4rwvLB699uy3hoxx78nrpneE3eQxov7foCFCfyY4K6XoZhblNpkFD+SJBwCvPDiynVwAb9O6LWxtFgFGpkd+CgTwELiq4S8TH0QOhYttiu36TFk1aDnoHHoQwL6Uml6IAh+62i6FuTurZBZ7eN3xWh3N0y+rgeI8J7poCtbz0obeL6MZfuxBABa8V4kwgLUB5RUbOenP/iybw20qyzaPhKnDdIxHs/to3bG3wwwqdrNm4N3Bz9Ec/ARowzqetI+loFHACXQzWLipSliGrin3ODfmd2ouRSwkQPkLsFAVvPGIh6G/43FAsqeWt5y7cFjDIgvkpw8FY52zDtm3a+ziBWRwaZWj42Jpg3e/Kw7U6gmxfo4NOonNJ76qOsLl2qqq6NJApXx16J8NWyVJAj5IGbMssLCcm+qtselN8Nn5ExlkNzhQEFsthOLEvgi9VMYmjDMcE+5xR0Nn8KzpjPktMH/P63BTGqvD+U0NxnRevSAIfpK7fyePwbOwtyLQ6lvoyUvAgR+csxSCzz74fmwbQGqfx6H4HyysLjiA1WJPJJ6ZCXbRTaO9OU1DxoGvAWCeYRyyW8gmA+Fom3lo++8v6x5s1fW47efQVRKhgco2b8vJ2VKYVWrUl2VnQCuInPs5QbN5uaUM1inbuLfXl3kpBSgHUu5nLMLbly+36aeGGn9a+4FrX0U5oPpBneXNtx3tXOLXie6IVDqeXILcE6lJn/pwJHDeVq2WztIBf9SBxiqyqej9jvurWn4mX6c/SizgQ95e5qH68n7dnCji1uZoUBxgi35MrN2SDhIhsJLdav2OqsJvt7GOcAdXlIFHNJobYrIfF3r5bPmXDZcLTK+ZJpi5vv3ebGzoLoarDRB69zw5K3Wt4v4WKa9YLqEE0gCWj6+91FR7nB6V8U8aErIn0EVuyBrCDFAv76Ej3vtUvJS5VUkjurvujilJCk7L+zgxHCKXrsMw08U1gqSeomrQtTiXJxm8CxERQbUGT3LhuAGsi+733ejbBKJOPu7cyhbKd924JyXp1fEDj7c96GWO+tNa3vY4oPWYPbxIl6kmfMQy7zw5PV3saTl6HMdPWoWGzc2lv/EUAKXYm/rePibfWyFjjYYAQ=="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":495,"cache_read_input_tokens":315230,"output_tokens":1454,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":495},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1454,"cache_read_input_tokens":315230,"cache_creation_input_tokens":495,"cache_creation":{"ephemeral_5m_input_tokens":495,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"212cb1a3-03db-47c9-9915-bbb0994408eb","timestamp":"2026-04-27T06:54:57.044Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1078
+
{"parentUuid":"212cb1a3-03db-47c9-9915-bbb0994408eb","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01W5yuY3DCRFSuV8vVSUoaCi","type":"message","role":"assistant","content":[{"type":"text","text":"3 个 focused commits:env P0 fix → cli version inline P0 fix → release infrastructure。"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":495,"cache_read_input_tokens":315230,"output_tokens":1454,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":495},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1454,"cache_read_input_tokens":315230,"cache_creation_input_tokens":495,"cache_creation":{"ephemeral_5m_input_tokens":495,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"d87da292-cf72-4d4e-aa83-0bb60249d5ea","timestamp":"2026-04-27T06:54:57.425Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
1079
+
{"parentUuid":"d87da292-cf72-4d4e-aa83-0bb60249d5ea","isSidechain":false,"message":{"model":"claude-opus-4-7","id":"msg_01W5yuY3DCRFSuV8vVSUoaCi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019qYsyedaNJWo4SJ3DY8ocu","name":"Bash","input":{"command":"git add env.ts && git commit -m \"$(cat <<'EOF'\nfix(env): DATA_DIR 默认改 ~/.cache/cxs,允许 CXS_DATA_DIR 覆盖\n\n之前 DATA_DIR = resolve(import.meta.dir, \"data\") 是 *相对仓库根* 的路径,\n对源码 checkout 模式 OK,但对 npm i -g 与 bun build --compile 都炸:\n\n- npm i -g 后 import.meta.dir 指向全局 node_modules/cxs,默认 db 写到\n 那里,要么权限不够要么污染全局安装目录\n- bun build --compile 出来的 binary fs 是只读虚拟 /$bunfs/,\n ensureDataDir() 直接 EROFS\n\n改成默认 ~/.cache/cxs (XDG cache 约定),并支持 CXS_DATA_DIR 环境变量\n覆盖。源码 dev 模式行为也跟着变 — 现有 ./data/index.sqlite 不再被\n默认读到,需要重 sync 一次到新位置 (~75s,幂等)。\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>\nEOF\n)\"","description":"Commit env.ts DATA_DIR fix"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":495,"cache_read_input_tokens":315230,"output_tokens":1454,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":495},"inference_geo":"","iterations":[{"input_tokens":1,"output_tokens":1454,"cache_read_input_tokens":315230,"cache_creation_input_tokens":495,"cache_creation":{"ephemeral_5m_input_tokens":495,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"}},"type":"assistant","uuid":"0c2a2a36-8405-4f28-8912-119828c7bae4","timestamp":"2026-04-27T06:55:04.683Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"0205c615-f243-47fd-b810-21d5ee2671b3","version":"2.1.118","gitBranch":"main","slug":"plan-magical-penguin"}
+32
8f/465c5aec2f/0/metadata.json
+32
8f/465c5aec2f/0/metadata.json
···
1
+
{
2
+
"cli_version": "0.5.5",
3
+
"checkpoint_id": "8f465c5aec2f",
4
+
"session_id": "0205c615-f243-47fd-b810-21d5ee2671b3",
5
+
"strategy": "manual-commit",
6
+
"created_at": "2026-04-27T06:55:08.241541Z",
7
+
"branch": "main",
8
+
"checkpoints_count": 1,
9
+
"files_touched": [],
10
+
"agent": "Claude Code",
11
+
"model": "claude-opus-4-7",
12
+
"turn_id": "fc3f1de305ea",
13
+
"token_usage": {
14
+
"input_tokens": 230,
15
+
"cache_creation_tokens": 913090,
16
+
"cache_read_tokens": 27741270,
17
+
"output_tokens": 147573,
18
+
"api_call_count": 140
19
+
},
20
+
"session_metrics": {
21
+
"turn_count": 15
22
+
},
23
+
"prompt_attributions": [
24
+
{
25
+
"checkpoint_number": 2,
26
+
"user_lines_added": 0,
27
+
"user_lines_removed": 0,
28
+
"agent_lines_added": 0,
29
+
"agent_lines_removed": 0
30
+
}
31
+
]
32
+
}
+50
8f/465c5aec2f/0/prompt.txt
+50
8f/465c5aec2f/0/prompt.txt
···
1
+
开一个 team 来推进实现的工作
2
+
3
+
---
4
+
5
+
Findings
6
+
7
+
- Important: current --json 的 schema drift 处理仍不完整。query.ts:123 只检查 threads 表存在，但
8
+
query.ts:128 立刻查询 rollout_path/title/cwd/updated_at_ms。如果表存在但列变了，异常不是
9
+
CurrentStateDbError，CLI 也不会走 cli.ts:55 的结构化 error 分支。我用缺 rollout_path 的临时 state DB 复现
10
+
了：current --json 直接输出 SQLiteError: no such column: rollout_path 堆栈。建议补 PRAGMA
11
+
table_info(threads) 的 required columns 检查，并加 missing-column CLI 测试。
12
+
- Important: stale lock 修复仍不是原子 TOCTOU 修复。sync-lock.ts:75 在重新读取并比对后仍然调用 path-based
13
+
rmSync；在二次读取和删除之间，另一个进程仍可能删除旧 stale lock 并创建新 lock，这个进程随后会删掉新
14
+
lock。现在测试只覆盖“新 lock 已经在二次读取前出现”的情况。建议要么把表述改成 best-effort mitigation，要么
15
+
引入真正的互斥清理机制/OS lock，别把 P0-3 标为已彻底修复。
16
+
- Minor: 新 ranking 文档不适合进公开 repo 原样保留。docs/RANKING_WEIGHTS.md:3 用了本机绝对路径链接，多处
17
+
GitHub 不可用；docs/RANKING_WEIGHTS.md:213 还写了不存在的 read-range <uuid> --start 0。建议改相对路径，并
18
+
把命令改成当前 CLI 真实的 --seq / read-page 语义。
19
+
20
+
---
21
+
22
+
push
23
+
24
+
---
25
+
26
+
review 一下 目前 skills 的 cli 安装流程 以及 skills 的质量（能否最佳实践让 agent 高效使用我们的 cli）
27
+
28
+
---
29
+
30
+
好 按你最佳实践来推进
31
+
32
+
---
33
+
34
+
实测一下
35
+
36
+
---
37
+
38
+
好的
39
+
40
+
---
41
+
42
+
一定要 bun 吗 一般用户都是 nodejs 啊
43
+
44
+
---
45
+
46
+
我记得 bun 是可以直接 release 的是吧 利用 gh ci 可以release 多个版本？这样 skills 直接用？
47
+
48
+
---
49
+
50
+
而且还有一个办法就是 npx 直接运行
+23
8f/465c5aec2f/metadata.json
+23
8f/465c5aec2f/metadata.json
···
1
+
{
2
+
"cli_version": "0.5.5",
3
+
"checkpoint_id": "8f465c5aec2f",
4
+
"strategy": "manual-commit",
5
+
"branch": "main",
6
+
"checkpoints_count": 1,
7
+
"files_touched": null,
8
+
"sessions": [
9
+
{
10
+
"metadata": "/8f/465c5aec2f/0/metadata.json",
11
+
"transcript": "/8f/465c5aec2f/0/full.jsonl",
12
+
"content_hash": "/8f/465c5aec2f/0/content_hash.txt",
13
+
"prompt": "/8f/465c5aec2f/0/prompt.txt"
14
+
}
15
+
],
16
+
"token_usage": {
17
+
"input_tokens": 230,
18
+
"cache_creation_tokens": 913090,
19
+
"cache_read_tokens": 27741270,
20
+
"output_tokens": 147573,
21
+
"api_call_count": 140
22
+
}
23
+
}