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··· 1 1 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 2 2 + {"parentUuid":null,"isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"3ec60523-f9b3-4114-9302-ea08716704f9","hookEvent":"SessionStart","content":"","stdout":"{\"hookSpecificOutput\":{\"hookEventName\":\"SessionStart\",\"additionalContext\":\"# hello2cc\\n\\n先按 Claude Code 风格的三层约束执行：只在宿主公开的能力边界与优先级内做语义匹配和最终工具选择，并接受宿主的权限与 fail-closed 收口。\\n\\n## 优先级\\n- 用户当前消息、Claude Code 宿主规则、`CLAUDE.md` / `AGENTS.md` / 项目规则，始终高于 hello2cc。\\n- 不要替换 Claude Code 原生工作流；只在宿主真实暴露的能力面上做选择。\\n- 显式工具输入、原生工具 schema、权限模式和宿主返回的真实状态，始终高于 hello2cc 的补充策略。\\n- 当宿主只给出弱提示时，不要求用户原话与工具名或 workflow 名同语言、同关键词；直接基于用户原话语义，在宿主公开的 candidate/path 边界内选择最贴近的 Claude Code 原生路径。\\n- 当强 continuity 没有锁定单一路由时，只允许在宿主公开的 specialization 候选里做语义选择；不要自由发明隐藏路径，也不要再从正文里反推自己的选择结果。\\n- 对 `EnterPlanMode` 采用保守边界：只有真实架构歧义、需求需要先澄清、高影响重构，或用户明确要求先出方案时才考虑进入 session 级 plan mode。\\n- `Plan` / `Explore` agent 是只读 helper；它们用于搜集信息或产出方案，不等于进入 session 级 `EnterPlanMode`，也不会自动要求走 plan-mode approval flow。\\n- 路径清晰的实现、沿现有模式落地的功能、边界明确的多文件修改、以及 clear bug fix 默认直接执行；只在有真实阻塞时用 `AskUserQuestion` 提具体问题，不要先开 plan mode。\\n- hello2cc 常驻层始终保留输出风格、原生工具语义、协议适配与 fail-closed 收口；若宿主已 surfaced 更高优先级 skill/workflow owner，主流程编排让位给宿主。\\n\\n## Specificity / capability ladder\\n- 宿主先定义能力边界与优先级；模型只在这个受约束空间里做语义匹配和最终工具选择。\\n- 默认顺序：已加载连续体 → surfaced capability → discovery → 更宽的 agent / team 路径；不要一上来就退回最宽的工具或自创工作流。\\n- `Plan` / `Explore` 只是只读 helper，不等于 session 级 `EnterPlanMode`；不要因为有这些 agent 就默认先进入 plan mode。\\n- 当前会话模型别名：`mimo-v2.5-pro`。\\n\\n## 输出风格\\n- 输出风格固定为 `hello2cc:hello2cc Native`。\\n- 如果更高优先级规则没有指定格式，保持 Claude Code 原生、简洁、结果导向的表达。\\n- 当表格更清晰时优先 Markdown 表格；只有 Markdown 明显不适合时再用 ASCII。\\n\\n## 宿主状态快照\\n```json\\n{\\n \\\"hello2cc_role\\\": [\\n \\\"native-operator-shell\\\",\\n \\\"host-state\\\",\\n \\\"protocol-adapter\\\",\\n \\\"failure-debounce\\\"\\n ],\\n \\\"operator_profile\\\": \\\"opus-compatible-claude-code\\\",\\n \\\"precedence\\\": [\\n \\\"user_message\\\",\\n \\\"claude_code_host\\\",\\n \\\"CLAUDE.md\\\",\\n \\\"AGENTS.md\\\",\\n \\\"project_rules\\\",\\n \\\"hello2cc\\\"\\n ],\\n \\\"policy_summary\\\": {\\n \\\"specificity_ladder\\\": [\\n \\\"loaded workflow / skill continuity\\\",\\n \\\"surfaced skill / workflow\\\",\\n \\\"known MCP resource\\\",\\n \\\"loaded or surfaced deferred tool\\\",\\n \\\"ToolSearch / DiscoverSkills\\\",\\n \\\"broader Agent / Plan / team path\\\"\\n ],\\n \\\"explicit_only\\\": [\\n \\\"EnterWorktree\\\"\\n ],\\n \\\"host_guarded_inputs\\\": [\\n \\\"Agent.team_name\\\",\\n \\\"Agent.isolation=worktree\\\",\\n \\\"SendMessage.summary\\\"\\n ]\\n },\\n \\\"protocol_adapters\\\": {\\n \\\"capability_policies\\\": \\\"host_defined_then_model_selects_within_bounds\\\",\\n \\\"semantic_routing\\\": \\\"host_guarded_model_decides\\\",\\n \\\"workflow_owner_arbitration\\\": \\\"style_and_tool_semantics_always_on_defer_main_workflow_to_visible_host_skill_owner\\\",\\n \\\"explicit_tool_input_wins\\\": true,\\n \\\"agent_model\\\": \\\"fill_safe_claude_slot_if_missing\\\",\\n \\\"plan_mode\\\": \\\"enter_for_complex_design_exit_for_plan_approval_then_implement\\\",\\n \\\"send_message_summary\\\": \\\"fill_if_missing\\\",\\n \\\"repeated_failure_policy\\\": \\\"block_same_failed_precondition_until_state_changes\\\",\\n \\\"task_continuity\\\": \\\"remember_task_board_state_assignments_and_blockers_then_block_stale_mutations\\\",\\n \\\"tool_discovery\\\": \\\"prefer_specific_surface_then_guard_toolsearch_retries\\\",\\n \\\"team_coordination\\\": \\\"named_teammates_via_sendmessage_task_state_via_taskupdate\\\",\\n \\\"team_mailbox_protocol\\\": \\\"host-scoped_task_assignment_idle_notification_teammate_terminated_shutdown_and_plan_approval_messages\\\"\\n },\\n \\\"session\\\": {\\n \\\"model\\\": \\\"mimo-v2.5-pro\\\",\\n \\\"output_style\\\": \\\"hello2cc:hello2cc Native\\\"\\n },\\n \\\"websearch\\\": {\\n \\\"mode\\\": \\\"proxy-unknown\\\"\\n }\\n}\\n```\\n\\n## Capability policy snapshot\\n```json\\n{\\n \\\"engine\\\": \\\"host_defined_capability_policies\\\",\\n \\\"selection_mode\\\": \\\"model_chooses_within_host_bounds\\\",\\n \\\"specificity_ladder\\\": [\\n \\\"已加载 workflow / skill 连续体\\\",\\n \\\"已 surfaced 的 skill / workflow\\\",\\n \\\"已知 MCP resource\\\",\\n \\\"已加载或已 surfaced 的 deferred tool\\\",\\n \\\"ToolSearch / DiscoverSkills\\\",\\n \\\"更宽的 Agent / Plan / team 路径\\\"\\n ],\\n \\\"request_tracks\\\": [],\\n \\\"requested_output_shape\\\": \\\"plain_native_prose\\\",\\n \\\"policies\\\": [\\n {\\n \\\"id\\\": \\\"specificity-ladder\\\",\\n \\\"mode\\\": \\\"host_defines_capability_priority\\\",\\n \\\"order\\\": [\\n \\\"已加载 workflow / skill 连续体\\\",\\n \\\"已 surfaced 的 skill / workflow\\\",\\n \\\"已知 MCP resource\\\",\\n \\\"已加载或已 surfaced 的 deferred tool\\\",\\n \\\"ToolSearch / DiscoverSkills\\\",\\n \\\"更宽的 Agent / Plan / team 路径\\\"\\n ],\\n \\\"output_shape\\\": \\\"plain_native_prose\\\"\\n }\\n ]\\n}\\n```\"},\"suppressOutput\":true}","stderr":"","exitCode":0,"command":"node \"${CLAUDE_PLUGIN_ROOT}/scripts/orchestrator.mjs\" session-start","durationMs":157},"type":"attachment","uuid":"e1dc828d-f44d-4b40-a2ab-be8bb358e2c5","timestamp":"2026-04-29T14:25:29.611Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 3 3 + {"parentUuid":"e1dc828d-f44d-4b40-a2ab-be8bb358e2c5","isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"3ec60523-f9b3-4114-9302-ea08716704f9","hookEvent":"SessionStart","content":"","stdout":"{\"systemMessage\":\"\\n\\nPowered by Entire:\\n This conversation will be linked to your next commit.\"}\n","stderr":"","exitCode":0,"command":"entire hooks claude-code 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{"parentUuid":"a3c5c64d-7d24-4e00-951f-0de3e728ad12","isSidechain":false,"attachment":{"type":"hook_additional_context","content":["# hello2cc\n\n先按 Claude Code 风格的三层约束执行：只在宿主公开的能力边界与优先级内做语义匹配和最终工具选择，并接受宿主的权限与 fail-closed 收口。\n\n## 优先级\n- 用户当前消息、Claude Code 宿主规则、`CLAUDE.md` / `AGENTS.md` / 项目规则，始终高于 hello2cc。\n- 不要替换 Claude Code 原生工作流；只在宿主真实暴露的能力面上做选择。\n- 显式工具输入、原生工具 schema、权限模式和宿主返回的真实状态，始终高于 hello2cc 的补充策略。\n- 当宿主只给出弱提示时，不要求用户原话与工具名或 workflow 名同语言、同关键词；直接基于用户原话语义，在宿主公开的 candidate/path 边界内选择最贴近的 Claude Code 原生路径。\n- 当强 continuity 没有锁定单一路由时，只允许在宿主公开的 specialization 候选里做语义选择；不要自由发明隐藏路径，也不要再从正文里反推自己的选择结果。\n- 对 `EnterPlanMode` 采用保守边界：只有真实架构歧义、需求需要先澄清、高影响重构，或用户明确要求先出方案时才考虑进入 session 级 plan mode。\n- `Plan` / `Explore` agent 是只读 helper；它们用于搜集信息或产出方案，不等于进入 session 级 `EnterPlanMode`，也不会自动要求走 plan-mode approval flow。\n- 路径清晰的实现、沿现有模式落地的功能、边界明确的多文件修改、以及 clear bug fix 默认直接执行；只在有真实阻塞时用 `AskUserQuestion` 提具体问题，不要先开 plan mode。\n- hello2cc 常驻层始终保留输出风格、原生工具语义、协议适配与 fail-closed 收口；若宿主已 surfaced 更高优先级 skill/workflow owner，主流程编排让位给宿主。\n\n## Specificity / capability ladder\n- 宿主先定义能力边界与优先级；模型只在这个受约束空间里做语义匹配和最终工具选择。\n- 默认顺序：已加载连续体 → surfaced capability → discovery → 更宽的 agent / team 路径；不要一上来就退回最宽的工具或自创工作流。\n- `Plan` / `Explore` 只是只读 helper，不等于 session 级 `EnterPlanMode`；不要因为有这些 agent 就默认先进入 plan mode。\n- 当前会话模型别名：`mimo-v2.5-pro`。\n\n## 输出风格\n- 输出风格固定为 `hello2cc:hello2cc Native`。\n- 如果更高优先级规则没有指定格式，保持 Claude Code 原生、简洁、结果导向的表达。\n- 当表格更清晰时优先 Markdown 表格；只有 Markdown 明显不适合时再用 ASCII。\n\n## 宿主状态快照\n```json\n{\n \"hello2cc_role\": [\n \"native-operator-shell\",\n \"host-state\",\n \"protocol-adapter\",\n \"failure-debounce\"\n ],\n \"operator_profile\": \"opus-compatible-claude-code\",\n \"precedence\": [\n \"user_message\",\n \"claude_code_host\",\n \"CLAUDE.md\",\n \"AGENTS.md\",\n \"project_rules\",\n \"hello2cc\"\n ],\n \"policy_summary\": {\n \"specificity_ladder\": [\n \"loaded workflow / skill continuity\",\n \"surfaced skill / workflow\",\n \"known MCP resource\",\n \"loaded or surfaced deferred tool\",\n \"ToolSearch / DiscoverSkills\",\n \"broader Agent / Plan / team path\"\n ],\n \"explicit_only\": [\n \"EnterWorktree\"\n ],\n \"host_guarded_inputs\": [\n \"Agent.team_name\",\n \"Agent.isolation=worktree\",\n \"SendMessage.summary\"\n ]\n },\n \"protocol_adapters\": {\n \"capability_policies\": \"host_defined_then_model_selects_within_bounds\",\n \"semantic_routing\": \"host_guarded_model_decides\",\n \"workflow_owner_arbitration\": \"style_and_tool_semantics_always_on_defer_main_workflow_to_visible_host_skill_owner\",\n \"explicit_tool_input_wins\": true,\n \"agent_model\": \"fill_safe_claude_slot_if_missing\",\n \"plan_mode\": \"enter_for_complex_design_exit_for_plan_approval_then_implement\",\n \"send_message_summary\": \"fill_if_missing\",\n \"repeated_failure_policy\": \"block_same_failed_precondition_until_state_changes\",\n \"task_continuity\": \"remember_task_board_state_assignments_and_blockers_then_block_stale_mutations\",\n \"tool_discovery\": \"prefer_specific_surface_then_guard_toolsearch_retries\",\n \"team_coordination\": \"named_teammates_via_sendmessage_task_state_via_taskupdate\",\n \"team_mailbox_protocol\": \"host-scoped_task_assignment_idle_notification_teammate_terminated_shutdown_and_plan_approval_messages\"\n },\n \"session\": {\n \"model\": \"mimo-v2.5-pro\",\n \"output_style\": \"hello2cc:hello2cc Native\"\n },\n \"websearch\": {\n \"mode\": \"proxy-unknown\"\n }\n}\n```\n\n## Capability policy snapshot\n```json\n{\n \"engine\": \"host_defined_capability_policies\",\n \"selection_mode\": \"model_chooses_within_host_bounds\",\n \"specificity_ladder\": [\n \"已加载 workflow / skill 连续体\",\n \"已 surfaced 的 skill / workflow\",\n \"已知 MCP resource\",\n \"已加载或已 surfaced 的 deferred tool\",\n \"ToolSearch / DiscoverSkills\",\n \"更宽的 Agent / Plan / team 路径\"\n ],\n \"request_tracks\": [],\n \"requested_output_shape\": \"plain_native_prose\",\n \"policies\": [\n {\n \"id\": \"specificity-ladder\",\n \"mode\": \"host_defines_capability_priority\",\n \"order\": [\n \"已加载 workflow / skill 连续体\",\n \"已 surfaced 的 skill / workflow\",\n \"已知 MCP resource\",\n \"已加载或已 surfaced 的 deferred tool\",\n \"ToolSearch / DiscoverSkills\",\n \"更宽的 Agent / Plan / team 路径\"\n ],\n \"output_shape\": \"plain_native_prose\"\n }\n ]\n}\n```"],"hookName":"SessionStart","toolUseID":"SessionStart","hookEvent":"SessionStart"},"type":"attachment","uuid":"f73536e3-df26-437e-8f77-aa030e9aadca","timestamp":"2026-04-29T14:25:29.701Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 6 6 + {"parentUuid":"f73536e3-df26-437e-8f77-aa030e9aadca","isSidechain":false,"promptId":"f96e36a5-c7ac-4b17-a697-51fd0bcfc088","type":"user","message":{"role":"user","content":"hi"},"uuid":"53c8263a-ef81-4bcb-bbe9-7c5d0235d10d","timestamp":"2026-04-29T14:25:31.352Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 7 7 + {"parentUuid":"53c8263a-ef81-4bcb-bbe9-7c5d0235d10d","isSidechain":false,"attachment":{"type":"skill_listing","content":"- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". 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- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled remote agents (routines) on a cron schedule or once at a specific time. - When the user wants to schedule a recurring remote agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\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 an…\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…\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…\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 …\n- cxsd: Use when the user wants to dogfood, verify, debug, or compare unpublished local cxs changes from /Users/envvar/work/repos/cxs; mentions cxsd, dev cx…\n- wrangler: Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows…\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…\n- cloudflare: Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, S…\n- 0g-hk: Use when the user wants a 0g.hk / og temporary public link, paste, Markdown note, code or prompt share, semantic short URL, curl-readable raw note, …\n- improve-codebase-architecture: Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to…\n- hey-grok: 用 MCP `hey-grok` 做 Grok/xAI 直搜。用于用户明确提到 `$hey-grok`、hey-grok、grok、Grok 搜索、要最新公开信息、趋势、竞品、公开功能更新、通用技术模式…\n- triage: Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature…\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…\n- diagnose: Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use w…\n- to-issues: Break a plan, spec, or PRD into independently-grabbable issues on the project issue tracker using tracer-bullet vertical slices. Use when user wants…\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-runnin…\n- aip-provider: Use when the user mentions AI providers, OpenAI-compatible or Anthropic-compatible endpoints, base URL/API key/model setup, model-list refresh, ping…\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 o…\n- write-a-skill: Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new s…\n- workers-best-practices: Reviews and authors Cloudflare Workers code against production best practices. Load when writing new Workers, reviewing Worker code, configuring wra…\n- cxs: 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…\n- project-daily-summary: Use when the user wants a same-day Codex work summary grouped by project folder or repository, combining today's Codex sessions, extracted plans, co…\n- caveman: Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use…\n- axcli: Use when the user mentions axcli or needs terminal-driven inspection, reading, clicking, typing, scrolling, waiting, watching AX notifications, or s…\n- tdd: Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions \"red-green-refactor\", wa…\n- grill-me: Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. 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root"}}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"be350107-a670-4d45-bf39-323dd54e9360","timestamp":"2026-04-29T14:31:56.756Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 35 35 + {"parentUuid":"be350107-a670-4d45-bf39-323dd54e9360","isSidechain":false,"message":{"id":"msg_1559fae1e085464d9b8de4ce","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_45faff413ad2424ab5123567","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/AGENTS.md"}}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"c942c39c-c2f3-460c-91b0-b2be36aee359","timestamp":"2026-04-29T14:31:56.859Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 36 36 + {"parentUuid":"c942c39c-c2f3-460c-91b0-b2be36aee359","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_45faff413ad2424ab5123567","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"3d8d6195-0888-475d-a0fc-268536126929","timestamp":"2026-04-29T14:31:56.865Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 37 37 + {"parentUuid":"c942c39c-c2f3-460c-91b0-b2be36aee359","isSidechain":false,"promptId":"dd3a2b3d-97e6-4c08-989c-bd4676917afb","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_45faff413ad2424ab5123567","type":"tool_result","content":"1\t# cxs Agent Guide\n2\t\n3\t## 项目定位\n4\t\n5\t`cxs` 是一个面向本机 Codex session 日志的渐进式检索 CLI，不是 GUI app，也不是实时同步守护进程。\n6\t\n7\t当前接受的产品边界：\n8\t\n9\t- 命令面固定为：`status`、`sync`、`find`、`read-range`、`read-page`、`list`、`stats`\n10\t- 主工作流固定为：`status -> sync --selector -> find/list -> read-range/read-page`\n11\t- `sync` 是唯一会修改索引的命令；其余命令只读 SQLite\n12\t- 默认接受手动增量同步，不做 watcher / daemon / realtime sync\n13\t- 这个仓库可以作为其他 sidecar / GUI 的 retrieval engine，但本仓库自身不以 GUI 为目标\n14\t\n15\t## 当前实现真相\n16\t\n17\t- 检索主链是 `message/session recall -> session heuristic rerank -> progressive read`\n18\t- `status` 只返回执行上下文、source inventory、index 状态与 coverage 状态；它可以扫描 raw session metadata，但不写 index、不回答内容问题\n19\t- 内容回答只能来自 cxs index；source inventory 只能用于构造 selector 和判断可能的同步范围，不能作为内容真相源\n20\t- `sync --selector` 是建立 coverage 的唯一入口；只读命令不得隐式触发 sync\n21\t- 候选召回来自 `messages_fts` 与 `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)`；极少数零 token CJK query 在 message 侧回退到 LIKE\n22\t- `summary_text`、`compact_text`、`reasoning_summary_text` 已持久化，也会通过 `sessions_fts` 参与 session-level recall\n23\t- session-level FTS 使用显式字段权重：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n24\t- `classifyQueryProfile()` 仍存在，但当前评分没有按 `broad/exact` 做显式分权\n25\t- parser 只把 `event_msg` 里的 user / assistant 写入 `messages`；`type=compacted` 与 `response_item.reasoning.summary` 只进入 session-level 索引字段，不形成可回读 message projection\n26\t\n27\t不要把下面这些说成已完成：\n28\t\n29\t- 真正独立的 stage-2 / resource-level reranker\n30\t- richer projection / range cache / event-level replay\n31\t- duplicate family collapse / diversity control\n32\t- 强约束的 gold set / rubric / error taxonomy\n33\t\n34\t## 代码地图\n35\t\n36\t- [cli.ts](/Users/envvar/work/repos/cxs/src/cli.ts): CLI 命令面\n37\t- [indexer.ts](/Users/envvar/work/repos/cxs/src/indexer.ts): sync 与索引更新\n38\t- [parser.ts](/Users/envvar/work/repos/cxs/src/parser.ts): Codex JSONL 解析与 `summary_text` 生成\n39\t- [db.ts](/Users/envvar/work/repos/cxs/src/db.ts): SQLite facade；具体 schema / store / coverage 模块在 `src/db/`\n40\t- [query.ts](/Users/envvar/work/repos/cxs/src/query.ts): 查询 facade；find / read / list / stats / search / snippet 模块在 `src/query/`\n41\t- [status.ts](/Users/envvar/work/repos/cxs/src/status.ts): status 输出编排\n42\t- [selector.ts](/Users/envvar/work/repos/cxs/src/selector.ts): selector 解析与覆盖蕴含规则\n43\t- [source-inventory.ts](/Users/envvar/work/repos/cxs/src/source-inventory.ts): raw sessions metadata inventory\n44\t- [types.ts](/Users/envvar/work/repos/cxs/src/types.ts): CLI JSON contract 与核心类型\n45\t- [ranking.ts](/Users/envvar/work/repos/cxs/src/ranking.ts): session heuristic rerank\n46\t- [eval/](/Users/envvar/work/repos/cxs/eval): manual eval、batch compare\n47\t\n48\t## 文档规则\n49\t\n50\t- 优先维护当前态文档，不保留“看起来像现状、其实只是目标态”的 research 长文\n51\t- 如果文档已经腐化，优先删除或重写，不要叠补丁式修辞\n52\t- `docs/` 里的文档要服务后续 agent 直接接手，而不是保留调研过程痕迹\n53\t- 任何涉及“当前已实现什么”的文档，都必须先对齐代码和测试\n54\t\n55\t## Skill Package 边界\n56\t\n57\t本仓库不维护项目级 `.agents/skills`。cxs 的 skill 是给用户安装后操作 CLI 的发行物，不是维护本仓库时给 Codex agent 自动加载的项目 workflow。\n58\t\n59\t本仓库维护两条 skill 通道：\n60\t\n61\t- `skill-packages/cxs`: 发布版 skill 源码，必须匹配将要发布的 `cxs` CLI 行为\n62\t- `skill-packages/cxsd`: 本机开发版 skill，必须使用 `cxsd` / `CXSD_BIN`，用于 dogfood 当前 checkout\n63\t\n64\t### 发布版 cxs\n65\t\n66\t`cxs` 永远代表线上安装版。不要把本地 dirty tree rsync 到全局 `cxs` skill。\n67\t\n68\t对外推荐安装方式，也是本机更新全局线上 skill 的方式：\n69\t\n70\t```bash\n71\tnpx skills add catoncat/cxs --full-depth --skill cxs -g -a codex -y\n72\t```\n73\t\n74\t注意这个 skill 不会自动安装 `cxs` CLI 本体。默认约定：\n75\t\n76\t- 优先使用 `CXS_BIN`\n77\t- 未设置时回退到 `PATH` 里的 `cxs`\n78\t\n79\t### 开发版 cxsd\n80\t\n81\t`cxsd` 永远代表本地 checkout。它用于验证未发布代码和未发布 skill，不用于验证 npm/npx 线上版本。\n82\t\n83\t本机约定：\n84\t\n85\t- dev bin: `/Users/envvar/.local/bin/cxsd`\n86\t- dev bin 指向：`/Users/envvar/work/repos/cxs/src/cli.ts`\n87\t- global dev skill: `/Users/envvar/.agents/skills/cxsd -> /Users/envvar/work/repos/cxs/skill-packages/cxsd`\n88\t- Claude exposure: `/Users/envvar/.claude/skills/cxsd -> /Users/envvar/.agents/skills/cxsd`\n89\t\n90\t维护规则：\n91\t\n92\t- 改 CLI 行为时，先更新 `skill-packages/cxs`，再同步调整 `skill-packages/cxsd`\n93\t- `skill-packages/cxsd` 只能把入口从 `cxs` 改成 `cxsd`，不能发明另一套产品语义\n94\t- `skill-packages/cxsd` 内不要出现 `CXS_BIN`、`${CXS_BIN:-cxs}` 或指向发布版 `cxs` 的示例\n95\t- 全局 `cxs` 通过 `npx skills add` 更新；全局 `cxsd` 通过 symlink 跟随本地 repo\n96\t- 若 `cxs` 与 `cxsd` 行为不一致，先判断是“线上尚未发布”还是“dev skill 漂移”，不要直接覆盖任一通道\n97\t\n98\t## Dogfood eval 边界\n99\t\n100\tDogfood golden 是开发者本机的真实历史检索验收集，不是普通用户功能。\n101\t\n102\t- 通用 runner / schema 可以维护在 `eval/`，例如 `npm run eval:dogfood -- <goldens.local.jsonl>`\n103\t- 私有 golden 默认放在 ignored 路径：`data/cxs-dogfood/goldens.local.jsonl`\n104\t- 添加 / promote dogfood golden 只能在用户显式触发 dev-only skill 时进行\n105\t- 本机 dev-only skill 路径：`~/.agents/skills/cxs-dogfood`\n106\t- 不要把 dogfood capture 流程或私有 golden 放进 `skill-packages/cxs` / `skill-packages/cxsd`\n107\t- 普通代码实现任务可以运行已有 dogfood gate，但不能自行新增 golden，也不能自行把 `candidate` promote 为 `hard`\n108\t\n109\t## 默认验证\n110\t\n111\t涉及实现或文档真相变更时，至少做与改动直接相关的验证：\n112\t\n113\t- `npm run check`\n114\t- 必要时补一条 CLI 烟测，例如 `cxsd status --json` 或 `cxsd find \"<query>\" --json`\n115\t- 涉及 skill 通道时，验证 `npx skills ls -g --json`、`readlink /Users/envvar/.agents/skills/cxsd` 和 `cxsd --help`\n116\t\n117\t没有验证证据，不要声称“已对齐”“已完成”“文档正确”。\n118\t\n119\t## 当前近端优先级\n120\t\n121\t1. 先把 eval 从弱提示升级成更可信的 acceptance gate\n122\t2. 继续观察 session-level 字段召回是否引入排序噪音，并补 eval 覆盖\n123\t3. 更重的 reranker / projection / diversity 控制放后面\n124\t\n125\t具体 roadmap 见 [docs/ROADMAP.md](/Users/envvar/work/repos/cxs/docs/ROADMAP.md)。\n126\t\n127\t<!-- mainline:agents:start version=12 checksum=sha256:62ee66d15a420f45eb3c1403cffe332072b56e14044597a18ddcc71fa14a0d83 -->\n128\t## Mainline\n129\t\n130\t<!-- mainline-agents-md-version: 12 -->\n131\t\n132\t**Mainline is a git-native intent memory layer for AI-assisted engineering.**\n133\tIt gives coding agents the historical *why* before they inspect the\n134\tcurrent *what*.\n135\t\n136\tThis project uses Mainline to record the intent behind every AI-driven\n137\tchange and to surface conflicts between intents before they reach a PR\n138\treview. The agent is expected to both **read** team intents (for context)\n139\tand **write** its own intent (for the work it's doing). Both halves\n140\tmatter — intents capture *why* changes were made, which is information\n141\tthe diff alone cannot give you.\n142\t\n143\t> **v0.3 invariant**: every commit on `main` is in exactly one of three\n144\t> states — `covered` (sealed intent claims it), `skipped` (`Mainline-Skip:`\n145\t> trailer or matched config pattern), or `uncovered` (neither). Run\n146\t> `mainline status` to see the rollup; `mainline gaps` to see uncovered\n147\t> commits with rescue suggestions.\n148\t\n149\t### At the start of a task\n150\t\n151\t```\n152\tmainline status --json\n153\t```\n154\t\n155\tIf there is no `active_intent`, start one (use the user's goal verbatim\n156\twhen possible — it becomes the headline in `mainline log`):\n157\t\n158\t```\n159\tmainline start \"<short description of the user's goal>\" --json\n160\t```\n161\t\n162\t### Intent-first workflow (the load-bearing rule)\n163\t\n164\tBefore making any non-trivial code change, retrieve relevant intent\n165\tcontext **before** searching the codebase directly.\n166\t\n167\tThe default agent order is:\n168\t\n169\t1. `mainline status` — overall state, identity, sync staleness, suggestions.\n170\t2. `mainline context --current --json` — historical intents relevant to\n171\t your current branch + active draft + diff vs main.\n172\t3. If the task names files: `mainline context --files <path>... --json`.\n173\t4. If the task is semantic: `mainline context --query \"<task summary>\" --json`.\n174\t5. Read the returned intents' `summary`, `decisions`, `risks`,\n175\t `anti_patterns`, and `fingerprint`.\n176\t6. **Only then** grep / read code to verify against the current\n177\t implementation.\n178\t7. Edit.\n179\t8. When sealing, reference relevant prior intent IDs in your\n180\t decisions, and record any new `anti_patterns` future agents must\n181\t avoid in this area.\n182\t\n183\tDo not lead with `grep`, `rg`, or broad file reads for non-trivial\n184\tchanges unless Mainline is unavailable or the task is purely mechanical.\n185\t\n186\t`mainline context` does NOT replace code inspection. It provides the\n187\thistorical *why* before the agent inspects the current *what*.\n188\t\n189\t**Reading the retrieval output** — every returned intent carries a\n190\t`status` field that tells you how to use it RIGHT NOW (distinct from\n191\tits lifecycle status):\n192\t\n193\t| status | how to read it |\n194\t|---|---|\n195\t| `current` | the current effective decision; verify against current code, then apply |\n196\t| `superseded` | replaced — read `superseded_by` instead and use this only for context |\n197\t| `abandoned` | this approach was tried and abandoned; do not repeat without understanding why |\n198\t| `stale` | files have churned or the intent is old; verify decisions still hold |\n199\t\n200\tEach intent also carries:\n201\t\n202\t- `risks` — soft warnings to weigh.\n203\t- `anti_patterns` — **hard constraints**. Each one carries a `what`,\n204\t a `why`, and a `severity`. Do not violate them. The retrieval API\n205\t never truncates `anti_patterns`, so if you see one, it is in scope.\n206\t- `guidance` — a single-line reminder derived from `status`.\n207\t\n208\t### Pre-edit checklist for agents\n209\t\n210\tBefore editing code, answer:\n211\t\n212\t- Did I run `mainline status`?\n213\t- Did I run `mainline context --current --json`?\n214\t- If files are involved, did I run `mainline context --files ... --json`?\n215\t- Did I read the relevant prior decisions and risks?\n216\t- Did I verify those intents against the current code?\n217\t- Am I about to repeat an abandoned or superseded approach?\n218\t\n219\t### Task priority — when intent-first matters most\n220\t\n221\t| Always mainline-first | Mainline-first preferred | Direct code OK |\n222\t|---|---|---|\n223\t| architecture changes / refactors | bug fixes | typo / formatting fixes |\n224\t| migrations / deletions | new feature additions | one-line obvious syntax fixes |\n225\t| auth / billing / data-model / permissions | API behaviour changes | mechanical rename, scoped |\n226\t| test-strategy changes | config / CI / release tweaks | user explicitly asks to view ONE file |\n227\t| any cross-file change | | |\n228\t| user asks \"why is this here?\" | | |\n229\t| user asks \"can we delete this?\" | | |\n230\t| user asks \"did we try this before?\" | | |\n231\t\n232\t### Read team intents for context (do this aggressively)\n233\t\n234\tBefore working on anything non-trivial, scan recent intents for prior\n235\twork in the area you're about to touch. Each intent's `summary`\n236\t(what / why / decisions / risks / followups) plus `fingerprint`\n237\t(subsystems, files_touched, tags) is **strictly richer than the diff** —\n238\tit tells you *why* the code looks the way it does, which decisions\n239\twere considered and rejected, and what the author flagged as a risk\n240\tor follow-up.\n241\t\n242\t```\n243\tmainline log --json --limit 30\n244\t```\n245\t\n246\tFilter by goal/title keywords matching the user's task. For each\n247\trelevant hit, pull the full record:\n248\t\n249\t```\n250\tmainline show <intent_id> --json # decisions / risks / fingerprint\n251\tmainline trace <intent_id> --json # turn timeline (when each turn\n252\t # was added, how long it took)\n253\t```\n254\t\n255\t`show` answers *what* the intent decided. `trace` answers *how* it\n256\tunfolded over time — useful when you're trying to understand why a\n257\tPR looks the way it does, or whether the agent got stuck and looped.\n258\t\n259\tBefore designing a change, also see what is currently in flight so\n260\tyour work does not collide with someone else's proposed intent:\n261\t\n262\t```\n263\tmainline list-proposals --json\n264\t```\n265\t\n266\t`mainline context --json` is a quick agent-consumption snapshot of\n267\tthe same data (current actor, active intent, recent merged) — useful\n268\tfor orientation but does not replace the targeted log/show calls.\n269\t\n270\tUse this aggressively. The cost is one or two CLI calls; the payoff\n271\tis correct architectural decisions and not duplicating someone's\n272\tjust-finished work.\n273\t\n274\t### Turns and intent history\n275\t\n276\tTurns are a lightweight thinking scaffold used to prepare a good\n277\tseal. They are **not** expected to be a real-time activity log.\n278\t\n279\tIt is normal for several turns to be recorded together near seal\n280\ttime, especially when an agent summarizes its work before sealing.\n281\t`mainline trace` will surface this honestly via the\n282\t`append_turns_recorded_together` flag — that is informational, not a\n283\twarning.\n284\t\n285\tUse:\n286\t\n287\t```\n288\tmainline show <intent_id> --json\n289\t```\n290\t\n291\tto inspect the structured conclusion of an intent: summary,\n292\tdecisions, risks, and fingerprint.\n293\t\n294\tUse:\n295\t\n296\t```\n297\tmainline trace <intent_id> --json\n298\t```\n299\t\n300\tto inspect how an intent unfolded over time: start, append, seal,\n301\tabandon, or supersede events.\n302\t\n303\t`show` answers: *\"What did this intent decide?\"*\n304\t`trace` answers: *\"How did this intent unfold?\"*\n305\t\n306\t### While working\n307\t\n308\tRecord turns at points that will help you write a good seal — when\n309\ta meaningful subtask completes, when you pivot, when a discovery\n310\tchanges the plan. Many short turns or a few long turns are both\n311\tfine; what matters is that the seal author (you, later) has the\n312\tmaterial to compose a faithful summary:\n313\t\n314\t```\n315\tmainline append \"<what changed and why>\" --json\n316\t```\n317\t\n318\tTurns are append-only. Don't try to amend or delete them — describe\n319\tthe next state in a new turn.\n320\t\n321\t### When the task is complete\n322\t\n323\t1. Commit your code changes the normal way:\n324\t\n325\t ```\n326\t git add <files> && git commit -m \"<message>\"\n327\t ```\n328\t\n329\t2. Ask Mainline to prepare a seal package:\n330\t\n331\t ```\n332\t mainline seal --prepare --json > .ml-cache/seal.json\n333\t ```\n334\t\n335\t The package includes a `seal_result_starter` field — a partially-\n336\t filled `SealResult` with the deterministic bits (intent_id,\n337\t fingerprint.files_touched, fingerprint.subsystems) pre-populated.\n338\t Patch in the agent-judgment fields rather than typing the JSON\n339\t from scratch.\n340\t\n341\t Why `.ml-cache/`? Init writes that directory to `.gitignore`, so\n342\t the temporary seal file stays out of git and does not trip the\n343\t v0.3 worktree-clean snapshot contract on submit.\n344\t\n345\t3. Generate a `SealResult` JSON matching the schema returned by\n346\t `--prepare`. Populate the fingerprint generously — primary subsystem,\n347\t synonyms, parent concepts, related technologies — so phase-1\n348\t conflict detection has signal:\n349\t\n350\t ```\n351\t \"tags\": [\"auth\", \"authentication\", \"security\", \"jwt\", \"session\"]\n352\t ```\n353\t\n354\t When the work establishes constraints future agents must respect,\n355\t record them as `anti_patterns` (NOT as `risks`). Each entry MUST\n356\t carry both `what` and `why`; empty `why` is rejected at seal time.\n357\t\n358\t ```json\n359\t \"anti_patterns\": [\n360\t {\n361\t \"what\": \"Removing legacy session middleware on /oauth path\",\n362\t \"why\": \"OAuth callback handler still requires session state\",\n363\t \"severity\": \"high\"\n364\t }\n365\t ]\n366\t ```\n367\t\n368\t Use `risks` for soft warnings the reviewer should weigh; use\n369\t `anti_patterns` for hard constraints the next agent must not\n370\t violate. Anti-patterns are surfaced uncapped in `mainline context`,\n371\t so future agents will always see them.\n372\t\n373\t4. Submit it:\n374\t\n375\t ```\n376\t mainline seal --submit --json < .ml-cache/seal.json\n377\t ```\n378\t\n379\t Submit auto-syncs with the team and runs phase-1 conflict detection\n380\t against every other proposed/merged intent. If the JSON response\n381\t carries a `conflicts` array, **surface those conflicts to the user\n382\t verbatim** before continuing. Do not silently move on.\n383\t\n384\t5. (Optional but encouraged) Quality-check the seal:\n385\t\n386\t ```\n387\t mainline lint <intent_id> --json\n388\t ```\n389\t\n390\t `lint` runs deterministic checks against the sealed payload —\n391\t empty / boilerplate `what`, missing decisions, decision without\n392\t rationale, missing risks/anti_patterns, broken supersedes refs.\n393\t Errors mean the seal will be hard for future retrieval to use;\n394\t warnings are advisory. Lint is **not** wired into submit, so a\n395\t bad seal still goes through — but a low-quality seal pollutes\n396\t future `mainline context` results, which is the whole loop this\n397\t workflow exists to keep healthy.\n398\t\n399\t### When the user asks you to phase-2 check an intent\n400\t\n401\tPhase 1 is automatic; phase 2 is invoked deliberately when phase 1\n402\tflags an overlap (`[check:~]` in `mainline log`) and the user wants a\n403\treal semantic judgment.\n404\t\n405\t```\n406\tmainline check --prepare --intent <id> --json\n407\t```\n408\t\n409\tRead each `judgment_task` in the package, judge whether it is a real\n410\tsemantic conflict, and submit a `CheckJudgmentResult`:\n411\t\n412\t```\n413\tmainline check --submit --json < judgment.json\n414\t```\n415\t\n416\tThe verdict surfaces in `mainline log`'s `[check:X]` column.\n417\t\n418\t### Optional: agent hooks (opt-in context provider)\n419\t\n420\tIf `mainline hooks install <agent>` has been run for your agent\n421\truntime (Cursor today; Codex / Claude Code reserved), the hook layer\n422\truns **two mechanical operations** at session start and injects a\n423\t**status snapshot** into your system context — nothing more:\n424\t\n425\t- At `sessionStart` the hook runs `mainline sync` (refreshes the team\n426\t view) and `mainline status` (active intent, proposed count, synced\n427\t head). It feeds that snapshot back to you as system-prompt context\n428\t along with a pointer to this document. You no longer need to run\n429\t `mainline status` as the very first call of a session — it has\n430\t already run.\n431\t- At every other lifecycle event (turn start, turn end, subagent\n432\t end, session end) the hook is a **no-op** for your reasoning. It\n433\t fires webhook notifications for external observers (CI dashboards,\n434\t pager integrations) and exits. It does NOT call `mainline start`,\n435\t `mainline append`, `mainline seal --prepare`, or any other command\n436\t that requires deciding what counts as a goal / a meaningful change /\n437\t a fingerprint — those are LLM judgments and you remain the only\n438\t party qualified to make them.\n439\t\n440\tConcretely: every step described above (start when there is real\n441\twork, append after each meaningful logical change, commit, seal\n442\t--prepare, fill SealResult, seal --submit, surface conflicts) you do\n443\tyourself, hooks installed or not. The hook layer is a **context\n444\tprovider**, not a workflow driver.\n445\t\n446\tRun `mainline hooks status` to confirm whether hooks are wired and\n447\twhether `auto_sync_on_session_start` is on (the only mechanical\n448\ttoggle). Disable it with `mainline hooks disable` if your network\n449\tmakes the session-start sync painful — you can still drive the rest\n450\tof the workflow by hand.\n451\t\n452\t### Hub: human reader surface (you don't run this; you suggest it)\n453\t\n454\t`mainline hub export <dir>` and `mainline hub open` build a static\n455\tHTML site over the local synced intent view. It is for **humans**, not\n456\tagents — agents use `context` / `show` / `trace` / `gaps`.\n457\t\n458\tYou should suggest the hub when the user asks one of:\n459\t\n460\t- *\"What's the history of `<file>`?\"* → hub's per-file page lists\n461\t every intent that touched it.\n462\t- *\"Who's been working on what lately?\"* → hub's index shows the\n463\t recent intents table; the actor pages give per-author rollups.\n464\t- *\"Are there any conflicts or risky changes I should review?\"* →\n465\t hub's risks page and graph (supersessions, conflicts_with,\n466\t shares_file edges) put the answer one click away.\n467\t\n468\tConcretely:\n469\t\n470\t```\n471\tmainline hub open # build + open in the default browser\n472\tmainline hub export ./hub-snapshot # write a portable copy elsewhere\n473\t```\n474\t\n475\tBoth commands default the output to `<os-temp>/mainline-hub/<repo>`\n476\tso the static site never enters git.\n477\t\n478\tHub is read-only and rebuildable from the synced view; it never\n479\tmodifies repo files outside the user-chosen output directory.\n480\t\n481\t### What you do NOT need to run\n482\t\n483\t- `mainline sync` — runs automatically inside `seal --submit` and\n484\t whenever a fresh-data command (`check`, `pin`) needs it.\n485\t- `mainline pin` — runs automatically after every sync; the strategy\n486\t cascade (tree_hash → commit_hash → goal_text) catches GitHub\n487\t squash-merges with near-100 % reliability.\n488\t- `mainline merge` — humans merge via the GitHub PR UI; the next\n489\t `mainline sync` auto-pins the squash commit.\n490\t\n491\t### Do not run unless the user explicitly asks\n492\t\n493\t```\n494\tmainline pin <intent> <commit> # manual fallback\n495\tmainline merge --intent <id> # non-PR pipeline only\n496\tmainline init --rewire # repo setup repair\n497\tmainline doctor --setup --fix # repo setup repair\n498\t```\n499\t\n500\t### Encountering an uncovered commit (v0.3 rescue)\n501\t\n502\tIf `mainline status` or `mainline gaps` flags an uncovered commit (one\n503\tthat landed on main with no intent), pick the **best** path you still\n504\tcan — ordered by reversibility, cheapest first:\n505\t\n506\t1. **Unpushed** — undo and redo via the proper flow:\n507\t\n508\t ```\n509\t git reset --soft HEAD^ # un-commit, keep changes\n510\t mainline start \"<goal>\"\n511\t <continue normal flow>\n512\t ```\n513\t\n514\t2. **Pushed** — backfill an intent that retroactively claims the commit:\n515\t\n516\t ```\n517\t mainline start \"<why this commit was made>\" --commits <sha>\n518\t mainline append \"<turn-by-turn description, post-hoc>\"\n519\t mainline seal --prepare > .ml-cache/seal.json\n520\t <fill .ml-cache/seal.json>\n521\t mainline seal --submit < .ml-cache/seal.json\n522\t ```\n523\t\n524\t The seal flow auto-pins the new intent to the listed commit on next\n525\t `mainline sync`.\n526\t\n527\t3. **Routine** (chore / format / version bump) — mark as deliberately\n528\t skipped:\n529\t\n530\t ```\n531\t git commit --amend # add `Mainline-Skip: <reason>` trailer\n532\t ```\n533\t\n534\t Or add a pattern in `.mainline/config.toml` under `[mainline.skip]`\n535\t so future similar commits classify automatically:\n536\t\n537\t ```toml\n538\t [mainline.skip]\n539\t patterns = [\"^chore: format\", \"^bump:\"]\n540\t ```\n541\t\n542\t4. **Already distributed, regrettably** — accept uncovered. The\n543\t mainline log is a record of reality, not aspiration.\n544\t\n545\t### Seal snapshot contract (v0.3)\n546\t\n547\t`mainline seal --prepare` snapshots the worktree state (HEAD, branch,\n548\tclean/dirty/untracked) and persists it. `mainline seal --submit`\n549\tvalidates the live repo against that snapshot — HEAD drift, branch\n550\tdrift, or dirty worktree all fail by default with a typed error. The\n551\tescape hatch is the explicit CLI flag `--allow-dirty`; even then, the\n552\tsealed event permanently records `worktree_status` so reviewers see\n553\tthe audit trail.\n554\t\n555\tAlways commit your code BEFORE `mainline seal --prepare`. Untracked\n556\tfiles (planning docs, scratch notes) do **not** enter sealed evidence.\n557\t<!-- mainline:agents:end -->\n558\t"}]},"uuid":"8afc2148-14dc-4fd2-bb60-044b80fc8033","timestamp":"2026-04-29T14:31:56.872Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/AGENTS.md","content":"# cxs Agent Guide\n\n## 项目定位\n\n`cxs` 是一个面向本机 Codex session 日志的渐进式检索 CLI，不是 GUI app，也不是实时同步守护进程。\n\n当前接受的产品边界：\n\n- 命令面固定为：`status`、`sync`、`find`、`read-range`、`read-page`、`list`、`stats`\n- 主工作流固定为：`status -> sync --selector -> find/list -> read-range/read-page`\n- `sync` 是唯一会修改索引的命令；其余命令只读 SQLite\n- 默认接受手动增量同步，不做 watcher / daemon / realtime sync\n- 这个仓库可以作为其他 sidecar / GUI 的 retrieval engine，但本仓库自身不以 GUI 为目标\n\n## 当前实现真相\n\n- 检索主链是 `message/session recall -> session heuristic rerank -> progressive read`\n- `status` 只返回执行上下文、source inventory、index 状态与 coverage 状态；它可以扫描 raw session metadata，但不写 index、不回答内容问题\n- 内容回答只能来自 cxs index；source inventory 只能用于构造 selector 和判断可能的同步范围，不能作为内容真相源\n- `sync --selector` 是建立 coverage 的唯一入口；只读命令不得隐式触发 sync\n- 候选召回来自 `messages_fts` 与 `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)`；极少数零 token CJK query 在 message 侧回退到 LIKE\n- `summary_text`、`compact_text`、`reasoning_summary_text` 已持久化，也会通过 `sessions_fts` 参与 session-level recall\n- session-level FTS 使用显式字段权重：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n- `classifyQueryProfile()` 仍存在，但当前评分没有按 `broad/exact` 做显式分权\n- parser 只把 `event_msg` 里的 user / assistant 写入 `messages`；`type=compacted` 与 `response_item.reasoning.summary` 只进入 session-level 索引字段，不形成可回读 message projection\n\n不要把下面这些说成已完成：\n\n- 真正独立的 stage-2 / resource-level reranker\n- richer projection / range cache / event-level replay\n- duplicate family collapse / diversity control\n- 强约束的 gold set / rubric / error taxonomy\n\n## 代码地图\n\n- [cli.ts](/Users/envvar/work/repos/cxs/src/cli.ts): CLI 命令面\n- [indexer.ts](/Users/envvar/work/repos/cxs/src/indexer.ts): sync 与索引更新\n- [parser.ts](/Users/envvar/work/repos/cxs/src/parser.ts): Codex JSONL 解析与 `summary_text` 生成\n- [db.ts](/Users/envvar/work/repos/cxs/src/db.ts): SQLite facade；具体 schema / store / coverage 模块在 `src/db/`\n- [query.ts](/Users/envvar/work/repos/cxs/src/query.ts): 查询 facade；find / read / list / stats / search / snippet 模块在 `src/query/`\n- [status.ts](/Users/envvar/work/repos/cxs/src/status.ts): status 输出编排\n- [selector.ts](/Users/envvar/work/repos/cxs/src/selector.ts): selector 解析与覆盖蕴含规则\n- [source-inventory.ts](/Users/envvar/work/repos/cxs/src/source-inventory.ts): raw sessions metadata inventory\n- [types.ts](/Users/envvar/work/repos/cxs/src/types.ts): CLI JSON contract 与核心类型\n- [ranking.ts](/Users/envvar/work/repos/cxs/src/ranking.ts): session heuristic rerank\n- [eval/](/Users/envvar/work/repos/cxs/eval): manual eval、batch compare\n\n## 文档规则\n\n- 优先维护当前态文档，不保留“看起来像现状、其实只是目标态”的 research 长文\n- 如果文档已经腐化，优先删除或重写，不要叠补丁式修辞\n- `docs/` 里的文档要服务后续 agent 直接接手，而不是保留调研过程痕迹\n- 任何涉及“当前已实现什么”的文档，都必须先对齐代码和测试\n\n## Skill Package 边界\n\n本仓库不维护项目级 `.agents/skills`。cxs 的 skill 是给用户安装后操作 CLI 的发行物，不是维护本仓库时给 Codex agent 自动加载的项目 workflow。\n\n本仓库维护两条 skill 通道：\n\n- `skill-packages/cxs`: 发布版 skill 源码，必须匹配将要发布的 `cxs` CLI 行为\n- `skill-packages/cxsd`: 本机开发版 skill，必须使用 `cxsd` / `CXSD_BIN`，用于 dogfood 当前 checkout\n\n### 发布版 cxs\n\n`cxs` 永远代表线上安装版。不要把本地 dirty tree rsync 到全局 `cxs` skill。\n\n对外推荐安装方式，也是本机更新全局线上 skill 的方式：\n\n```bash\nnpx skills add catoncat/cxs --full-depth --skill cxs -g -a codex -y\n```\n\n注意这个 skill 不会自动安装 `cxs` CLI 本体。默认约定：\n\n- 优先使用 `CXS_BIN`\n- 未设置时回退到 `PATH` 里的 `cxs`\n\n### 开发版 cxsd\n\n`cxsd` 永远代表本地 checkout。它用于验证未发布代码和未发布 skill，不用于验证 npm/npx 线上版本。\n\n本机约定：\n\n- dev bin: `/Users/envvar/.local/bin/cxsd`\n- dev bin 指向：`/Users/envvar/work/repos/cxs/src/cli.ts`\n- global dev skill: `/Users/envvar/.agents/skills/cxsd -> /Users/envvar/work/repos/cxs/skill-packages/cxsd`\n- Claude exposure: `/Users/envvar/.claude/skills/cxsd -> /Users/envvar/.agents/skills/cxsd`\n\n维护规则：\n\n- 改 CLI 行为时，先更新 `skill-packages/cxs`，再同步调整 `skill-packages/cxsd`\n- `skill-packages/cxsd` 只能把入口从 `cxs` 改成 `cxsd`，不能发明另一套产品语义\n- `skill-packages/cxsd` 内不要出现 `CXS_BIN`、`${CXS_BIN:-cxs}` 或指向发布版 `cxs` 的示例\n- 全局 `cxs` 通过 `npx skills add` 更新；全局 `cxsd` 通过 symlink 跟随本地 repo\n- 若 `cxs` 与 `cxsd` 行为不一致，先判断是“线上尚未发布”还是“dev skill 漂移”，不要直接覆盖任一通道\n\n## Dogfood eval 边界\n\nDogfood golden 是开发者本机的真实历史检索验收集，不是普通用户功能。\n\n- 通用 runner / schema 可以维护在 `eval/`，例如 `npm run eval:dogfood -- <goldens.local.jsonl>`\n- 私有 golden 默认放在 ignored 路径：`data/cxs-dogfood/goldens.local.jsonl`\n- 添加 / promote dogfood golden 只能在用户显式触发 dev-only skill 时进行\n- 本机 dev-only skill 路径：`~/.agents/skills/cxs-dogfood`\n- 不要把 dogfood capture 流程或私有 golden 放进 `skill-packages/cxs` / `skill-packages/cxsd`\n- 普通代码实现任务可以运行已有 dogfood gate，但不能自行新增 golden，也不能自行把 `candidate` promote 为 `hard`\n\n## 默认验证\n\n涉及实现或文档真相变更时，至少做与改动直接相关的验证：\n\n- `npm run check`\n- 必要时补一条 CLI 烟测，例如 `cxsd status --json` 或 `cxsd find \"<query>\" --json`\n- 涉及 skill 通道时，验证 `npx skills ls -g --json`、`readlink /Users/envvar/.agents/skills/cxsd` 和 `cxsd --help`\n\n没有验证证据，不要声称“已对齐”“已完成”“文档正确”。\n\n## 当前近端优先级\n\n1. 先把 eval 从弱提示升级成更可信的 acceptance gate\n2. 继续观察 session-level 字段召回是否引入排序噪音，并补 eval 覆盖\n3. 更重的 reranker / projection / diversity 控制放后面\n\n具体 roadmap 见 [docs/ROADMAP.md](/Users/envvar/work/repos/cxs/docs/ROADMAP.md)。\n\n<!-- mainline:agents:start version=12 checksum=sha256:62ee66d15a420f45eb3c1403cffe332072b56e14044597a18ddcc71fa14a0d83 -->\n## Mainline\n\n<!-- mainline-agents-md-version: 12 -->\n\n**Mainline is a git-native intent memory layer for AI-assisted engineering.**\nIt gives coding agents the historical *why* before they inspect the\ncurrent *what*.\n\nThis project uses Mainline to record the intent behind every AI-driven\nchange and to surface conflicts between intents before they reach a PR\nreview. The agent is expected to both **read** team intents (for context)\nand **write** its own intent (for the work it's doing). Both halves\nmatter — intents capture *why* changes were made, which is information\nthe diff alone cannot give you.\n\n> **v0.3 invariant**: every commit on `main` is in exactly one of three\n> states — `covered` (sealed intent claims it), `skipped` (`Mainline-Skip:`\n> trailer or matched config pattern), or `uncovered` (neither). Run\n> `mainline status` to see the rollup; `mainline gaps` to see uncovered\n> commits with rescue suggestions.\n\n### At the start of a task\n\n```\nmainline status --json\n```\n\nIf there is no `active_intent`, start one (use the user's goal verbatim\nwhen possible — it becomes the headline in `mainline log`):\n\n```\nmainline start \"<short description of the user's goal>\" --json\n```\n\n### Intent-first workflow (the load-bearing rule)\n\nBefore making any non-trivial code change, retrieve relevant intent\ncontext **before** searching the codebase directly.\n\nThe default agent order is:\n\n1. `mainline status` — overall state, identity, sync staleness, suggestions.\n2. `mainline context --current --json` — historical intents relevant to\n your current branch + active draft + diff vs main.\n3. If the task names files: `mainline context --files <path>... --json`.\n4. If the task is semantic: `mainline context --query \"<task summary>\" --json`.\n5. Read the returned intents' `summary`, `decisions`, `risks`,\n `anti_patterns`, and `fingerprint`.\n6. **Only then** grep / read code to verify against the current\n implementation.\n7. Edit.\n8. When sealing, reference relevant prior intent IDs in your\n decisions, and record any new `anti_patterns` future agents must\n avoid in this area.\n\nDo not lead with `grep`, `rg`, or broad file reads for non-trivial\nchanges unless Mainline is unavailable or the task is purely mechanical.\n\n`mainline context` does NOT replace code inspection. It provides the\nhistorical *why* before the agent inspects the current *what*.\n\n**Reading the retrieval output** — every returned intent carries a\n`status` field that tells you how to use it RIGHT NOW (distinct from\nits lifecycle status):\n\n| status | how to read it |\n|---|---|\n| `current` | the current effective decision; verify against current code, then apply |\n| `superseded` | replaced — read `superseded_by` instead and use this only for context |\n| `abandoned` | this approach was tried and abandoned; do not repeat without understanding why |\n| `stale` | files have churned or the intent is old; verify decisions still hold |\n\nEach intent also carries:\n\n- `risks` — soft warnings to weigh.\n- `anti_patterns` — **hard constraints**. Each one carries a `what`,\n a `why`, and a `severity`. Do not violate them. The retrieval API\n never truncates `anti_patterns`, so if you see one, it is in scope.\n- `guidance` — a single-line reminder derived from `status`.\n\n### Pre-edit checklist for agents\n\nBefore editing code, answer:\n\n- Did I run `mainline status`?\n- Did I run `mainline context --current --json`?\n- If files are involved, did I run `mainline context --files ... --json`?\n- Did I read the relevant prior decisions and risks?\n- Did I verify those intents against the current code?\n- Am I about to repeat an abandoned or superseded approach?\n\n### Task priority — when intent-first matters most\n\n| Always mainline-first | Mainline-first preferred | Direct code OK |\n|---|---|---|\n| architecture changes / refactors | bug fixes | typo / formatting fixes |\n| migrations / deletions | new feature additions | one-line obvious syntax fixes |\n| auth / billing / data-model / permissions | API behaviour changes | mechanical rename, scoped |\n| test-strategy changes | config / CI / release tweaks | user explicitly asks to view ONE file |\n| any cross-file change | | |\n| user asks \"why is this here?\" | | |\n| user asks \"can we delete this?\" | | |\n| user asks \"did we try this before?\" | | |\n\n### Read team intents for context (do this aggressively)\n\nBefore working on anything non-trivial, scan recent intents for prior\nwork in the area you're about to touch. Each intent's `summary`\n(what / why / decisions / risks / followups) plus `fingerprint`\n(subsystems, files_touched, tags) is **strictly richer than the diff** —\nit tells you *why* the code looks the way it does, which decisions\nwere considered and rejected, and what the author flagged as a risk\nor follow-up.\n\n```\nmainline log --json --limit 30\n```\n\nFilter by goal/title keywords matching the user's task. For each\nrelevant hit, pull the full record:\n\n```\nmainline show <intent_id> --json # decisions / risks / fingerprint\nmainline trace <intent_id> --json # turn timeline (when each turn\n # was added, how long it took)\n```\n\n`show` answers *what* the intent decided. `trace` answers *how* it\nunfolded over time — useful when you're trying to understand why a\nPR looks the way it does, or whether the agent got stuck and looped.\n\nBefore designing a change, also see what is currently in flight so\nyour work does not collide with someone else's proposed intent:\n\n```\nmainline list-proposals --json\n```\n\n`mainline context --json` is a quick agent-consumption snapshot of\nthe same data (current actor, active intent, recent merged) — useful\nfor orientation but does not replace the targeted log/show calls.\n\nUse this aggressively. The cost is one or two CLI calls; the payoff\nis correct architectural decisions and not duplicating someone's\njust-finished work.\n\n### Turns and intent history\n\nTurns are a lightweight thinking scaffold used to prepare a good\nseal. They are **not** expected to be a real-time activity log.\n\nIt is normal for several turns to be recorded together near seal\ntime, especially when an agent summarizes its work before sealing.\n`mainline trace` will surface this honestly via the\n`append_turns_recorded_together` flag — that is informational, not a\nwarning.\n\nUse:\n\n```\nmainline show <intent_id> --json\n```\n\nto inspect the structured conclusion of an intent: summary,\ndecisions, risks, and fingerprint.\n\nUse:\n\n```\nmainline trace <intent_id> --json\n```\n\nto inspect how an intent unfolded over time: start, append, seal,\nabandon, or supersede events.\n\n`show` answers: *\"What did this intent decide?\"*\n`trace` answers: *\"How did this intent unfold?\"*\n\n### While working\n\nRecord turns at points that will help you write a good seal — when\na meaningful subtask completes, when you pivot, when a discovery\nchanges the plan. Many short turns or a few long turns are both\nfine; what matters is that the seal author (you, later) has the\nmaterial to compose a faithful summary:\n\n```\nmainline append \"<what changed and why>\" --json\n```\n\nTurns are append-only. Don't try to amend or delete them — describe\nthe next state in a new turn.\n\n### When the task is complete\n\n1. Commit your code changes the normal way:\n\n ```\n git add <files> && git commit -m \"<message>\"\n ```\n\n2. Ask Mainline to prepare a seal package:\n\n ```\n mainline seal --prepare --json > .ml-cache/seal.json\n ```\n\n The package includes a `seal_result_starter` field — a partially-\n filled `SealResult` with the deterministic bits (intent_id,\n fingerprint.files_touched, fingerprint.subsystems) pre-populated.\n Patch in the agent-judgment fields rather than typing the JSON\n from scratch.\n\n Why `.ml-cache/`? Init writes that directory to `.gitignore`, so\n the temporary seal file stays out of git and does not trip the\n v0.3 worktree-clean snapshot contract on submit.\n\n3. Generate a `SealResult` JSON matching the schema returned by\n `--prepare`. Populate the fingerprint generously — primary subsystem,\n synonyms, parent concepts, related technologies — so phase-1\n conflict detection has signal:\n\n ```\n \"tags\": [\"auth\", \"authentication\", \"security\", \"jwt\", \"session\"]\n ```\n\n When the work establishes constraints future agents must respect,\n record them as `anti_patterns` (NOT as `risks`). Each entry MUST\n carry both `what` and `why`; empty `why` is rejected at seal time.\n\n ```json\n \"anti_patterns\": [\n {\n \"what\": \"Removing legacy session middleware on /oauth path\",\n \"why\": \"OAuth callback handler still requires session state\",\n \"severity\": \"high\"\n }\n ]\n ```\n\n Use `risks` for soft warnings the reviewer should weigh; use\n `anti_patterns` for hard constraints the next agent must not\n violate. Anti-patterns are surfaced uncapped in `mainline context`,\n so future agents will always see them.\n\n4. Submit it:\n\n ```\n mainline seal --submit --json < .ml-cache/seal.json\n ```\n\n Submit auto-syncs with the team and runs phase-1 conflict detection\n against every other proposed/merged intent. If the JSON response\n carries a `conflicts` array, **surface those conflicts to the user\n verbatim** before continuing. Do not silently move on.\n\n5. (Optional but encouraged) Quality-check the seal:\n\n ```\n mainline lint <intent_id> --json\n ```\n\n `lint` runs deterministic checks against the sealed payload —\n empty / boilerplate `what`, missing decisions, decision without\n rationale, missing risks/anti_patterns, broken supersedes refs.\n Errors mean the seal will be hard for future retrieval to use;\n warnings are advisory. Lint is **not** wired into submit, so a\n bad seal still goes through — but a low-quality seal pollutes\n future `mainline context` results, which is the whole loop this\n workflow exists to keep healthy.\n\n### When the user asks you to phase-2 check an intent\n\nPhase 1 is automatic; phase 2 is invoked deliberately when phase 1\nflags an overlap (`[check:~]` in `mainline log`) and the user wants a\nreal semantic judgment.\n\n```\nmainline check --prepare --intent <id> --json\n```\n\nRead each `judgment_task` in the package, judge whether it is a real\nsemantic conflict, and submit a `CheckJudgmentResult`:\n\n```\nmainline check --submit --json < judgment.json\n```\n\nThe verdict surfaces in `mainline log`'s `[check:X]` column.\n\n### Optional: agent hooks (opt-in context provider)\n\nIf `mainline hooks install <agent>` has been run for your agent\nruntime (Cursor today; Codex / Claude Code reserved), the hook layer\nruns **two mechanical operations** at session start and injects a\n**status snapshot** into your system context — nothing more:\n\n- At `sessionStart` the hook runs `mainline sync` (refreshes the team\n view) and `mainline status` (active intent, proposed count, synced\n head). It feeds that snapshot back to you as system-prompt context\n along with a pointer to this document. You no longer need to run\n `mainline status` as the very first call of a session — it has\n already run.\n- At every other lifecycle event (turn start, turn end, subagent\n end, session end) the hook is a **no-op** for your reasoning. It\n fires webhook notifications for external observers (CI dashboards,\n pager integrations) and exits. It does NOT call `mainline start`,\n `mainline append`, `mainline seal --prepare`, or any other command\n that requires deciding what counts as a goal / a meaningful change /\n a fingerprint — those are LLM judgments and you remain the only\n party qualified to make them.\n\nConcretely: every step described above (start when there is real\nwork, append after each meaningful logical change, commit, seal\n--prepare, fill SealResult, seal --submit, surface conflicts) you do\nyourself, hooks installed or not. The hook layer is a **context\nprovider**, not a workflow driver.\n\nRun `mainline hooks status` to confirm whether hooks are wired and\nwhether `auto_sync_on_session_start` is on (the only mechanical\ntoggle). Disable it with `mainline hooks disable` if your network\nmakes the session-start sync painful — you can still drive the rest\nof the workflow by hand.\n\n### Hub: human reader surface (you don't run this; you suggest it)\n\n`mainline hub export <dir>` and `mainline hub open` build a static\nHTML site over the local synced intent view. It is for **humans**, not\nagents — agents use `context` / `show` / `trace` / `gaps`.\n\nYou should suggest the hub when the user asks one of:\n\n- *\"What's the history of `<file>`?\"* → hub's per-file page lists\n every intent that touched it.\n- *\"Who's been working on what lately?\"* → hub's index shows the\n recent intents table; the actor pages give per-author rollups.\n- *\"Are there any conflicts or risky changes I should review?\"* →\n hub's risks page and graph (supersessions, conflicts_with,\n shares_file edges) put the answer one click away.\n\nConcretely:\n\n```\nmainline hub open # build + open in the default browser\nmainline hub export ./hub-snapshot # write a portable copy elsewhere\n```\n\nBoth commands default the output to `<os-temp>/mainline-hub/<repo>`\nso the static site never enters git.\n\nHub is read-only and rebuildable from the synced view; it never\nmodifies repo files outside the user-chosen output directory.\n\n### What you do NOT need to run\n\n- `mainline sync` — runs automatically inside `seal --submit` and\n whenever a fresh-data command (`check`, `pin`) needs it.\n- `mainline pin` — runs automatically after every sync; the strategy\n cascade (tree_hash → commit_hash → goal_text) catches GitHub\n squash-merges with near-100 % reliability.\n- `mainline merge` — humans merge via the GitHub PR UI; the next\n `mainline sync` auto-pins the squash commit.\n\n### Do not run unless the user explicitly asks\n\n```\nmainline pin <intent> <commit> # manual fallback\nmainline merge --intent <id> # non-PR pipeline only\nmainline init --rewire # repo setup repair\nmainline doctor --setup --fix # repo setup repair\n```\n\n### Encountering an uncovered commit (v0.3 rescue)\n\nIf `mainline status` or `mainline gaps` flags an uncovered commit (one\nthat landed on main with no intent), pick the **best** path you still\ncan — ordered by reversibility, cheapest first:\n\n1. **Unpushed** — undo and redo via the proper flow:\n\n ```\n git reset --soft HEAD^ # un-commit, keep changes\n mainline start \"<goal>\"\n <continue normal flow>\n ```\n\n2. **Pushed** — backfill an intent that retroactively claims the commit:\n\n ```\n mainline start \"<why this commit was made>\" --commits <sha>\n mainline append \"<turn-by-turn description, post-hoc>\"\n mainline seal --prepare > .ml-cache/seal.json\n <fill .ml-cache/seal.json>\n mainline seal --submit < .ml-cache/seal.json\n ```\n\n The seal flow auto-pins the new intent to the listed commit on next\n `mainline sync`.\n\n3. **Routine** (chore / format / version bump) — mark as deliberately\n skipped:\n\n ```\n git commit --amend # add `Mainline-Skip: <reason>` trailer\n ```\n\n Or add a pattern in `.mainline/config.toml` under `[mainline.skip]`\n so future similar commits classify automatically:\n\n ```toml\n [mainline.skip]\n patterns = [\"^chore: format\", \"^bump:\"]\n ```\n\n4. **Already distributed, regrettably** — accept uncovered. The\n mainline log is a record of reality, not aspiration.\n\n### Seal snapshot contract (v0.3)\n\n`mainline seal --prepare` snapshots the worktree state (HEAD, branch,\nclean/dirty/untracked) and persists it. `mainline seal --submit`\nvalidates the live repo against that snapshot — HEAD drift, branch\ndrift, or dirty worktree all fail by default with a typed error. The\nescape hatch is the explicit CLI flag `--allow-dirty`; even then, the\nsealed event permanently records `worktree_status` so reviewers see\nthe audit trail.\n\nAlways commit your code BEFORE `mainline seal --prepare`. 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Let me read a few more key files to get a fuller picture.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"607e9072-6ea0-49ed-9664-2235eacf8ff2","timestamp":"2026-04-29T14:32:00.487Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 47 47 + {"parentUuid":"607e9072-6ea0-49ed-9664-2235eacf8ff2","isSidechain":false,"message":{"id":"msg_5d0d691f82574ad3994aafac","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"text","text":"再看看核心源码和近期改动。"}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"4ffcc147-0774-4ef6-9b8b-df6daa55489b","timestamp":"2026-04-29T14:32:01.718Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 48 48 + 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{"parentUuid":"a059bb28-46ca-422f-90db-a45ad29f7af0","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_57cb9630f27e46d6b6f5c6d2","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"476717d5-2308-435e-97cd-9dd4320ed394","timestamp":"2026-04-29T14:32:06.770Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 64 64 + {"parentUuid":"a059bb28-46ca-422f-90db-a45ad29f7af0","isSidechain":false,"promptId":"dd3a2b3d-97e6-4c08-989c-bd4676917afb","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_57cb9630f27e46d6b6f5c6d2","type":"tool_result","content":"1\t# cxs Roadmap\n2\t\n3\t## 当前判断\n4\t\n5\t`cxs` 现在已经有一条可用的 retrieval 主链。`title + summary_text + compact_text + reasoning_summary_text` 已作为 session-level recall 面接入，并通过 FTS5 column weights 显式分权；下一步仍不该盲目继续堆排序逻辑，当前最缺的是更可信的 acceptance gate。\n6\t\n7\t## 优先级\n8\t\n9\t### P0: 先补强 eval 基线\n10\t\n11\t目标：让后续 retrieval 调整有稳定证据，不再只靠感觉。\n12\t\n13\t当前现状：\n14\t\n15\t- [eval/manual-queries.json](/Users/envvar/work/repos/cxs/eval/manual-queries.json) 只有 18 条 seed query\n16\t- [eval/manual-eval-core.ts](/Users/envvar/work/repos/cxs/eval/manual-eval-core.ts) 只支持弱谓词：\n17\t - `title_or_summary`\n18\t - `cwd`\n19\t - `snippet`\n20\t- [eval/run-dogfood-eval.ts](/Users/envvar/work/repos/cxs/eval/run-dogfood-eval.ts) 已提供本机 dogfood golden runner：\n21\t - 读取 ignored JSONL golden 文件\n22\t - 检查 expected session / cwd / matchSource / context key phrase\n23\t - `hard` 失败会以非零退出阻断本机 gate\n24\t - `candidate` 失败只报告，不阻断\n25\t\n26\t建议动作：\n27\t\n28\t- 扩充真实 query 集\n29\t- 继续用 dev-only `~/.agents/skills/cxs-dogfood` 手动策展本机 dogfood golden；不要把私有样本放进发行 skill package\n30\t- 增加更强断言：\n31\t - session 是否对\n32\t - `read-range` 是否给出有用上下文\n33\t - 是否命中关键 message / key phrase\n34\t- 继续复用现有：\n35\t - `npm run eval:manual`\n36\t - `npm run eval:dogfood -- <goldens.local.jsonl>`\n37\t - `npm run eval:compare -- <before> <after>`\n38\t\n39\t### P1: 已补 session-level 字段召回\n40\t\n41\t目标：解决“正文不命中、只有 title / summary / compact handoff 命中”的 recall 漏洞。\n42\t\n43\t当前现状：\n44\t\n45\t- `messages_fts` 负责真实 message evidence recall\n46\t- `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)` 负责 session-level recall\n47\t- 字段权重固定为：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n48\t- session-only 命中返回 `matchSource = \"session\"`，且 `matchSeq = null`\n49\t- CLI 对 session-only 命中建议 `read-page`，不伪造 `read-range --seq`\n50\t\n51\t已经排除：\n52\t\n53\t- 不把 summary 写成 `seq = -1` 的虚拟 message\n54\t- 不新增 `session_projections` 业务表\n55\t\n56\t后续需要补：\n57\t\n58\t- 把 title/summary/compact-only query 加进 manual eval\n59\t- 对 session-only 命中补专门断言\n60\t\n61\t### P2: 真正的 query profile 分流\n62\t\n63\t目标：让 broad / exact query 的排序策略真正分开。\n64\t\n65\t当前现状：\n66\t\n67\t- [ranking.ts](/Users/envvar/work/repos/cxs/src/ranking.ts) 仍保留 `classifyQueryProfile()`\n68\t- 但当前 scoring 没有按 `kind` 做显式不同权重\n69\t\n70\t这意味着：\n71\t\n72\t- 分类标签还在\n73\t- 真正的分流还没完成\n74\t\n75\t### P3: 更重的 retrieval 能力\n76\t\n77\t暂不优先：\n78\t\n79\t- resource-level reranker\n80\t- richer projection\n81\t- duplicate family collapse / diversity control\n82\t- heavier model / vector retrieval\n83\t\n84\t这些都应该建立在更强 eval 之后，而不是先上。\n85\t"}]},"uuid":"eb4bdedd-b260-44e8-b2a5-ac01d6cb28b4","timestamp":"2026-04-29T14:32:06.771Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/docs/ROADMAP.md","content":"# cxs Roadmap\n\n## 当前判断\n\n`cxs` 现在已经有一条可用的 retrieval 主链。`title + summary_text + compact_text + reasoning_summary_text` 已作为 session-level recall 面接入，并通过 FTS5 column weights 显式分权；下一步仍不该盲目继续堆排序逻辑，当前最缺的是更可信的 acceptance gate。\n\n## 优先级\n\n### P0: 先补强 eval 基线\n\n目标：让后续 retrieval 调整有稳定证据，不再只靠感觉。\n\n当前现状：\n\n- [eval/manual-queries.json](/Users/envvar/work/repos/cxs/eval/manual-queries.json) 只有 18 条 seed query\n- [eval/manual-eval-core.ts](/Users/envvar/work/repos/cxs/eval/manual-eval-core.ts) 只支持弱谓词：\n - `title_or_summary`\n - `cwd`\n - `snippet`\n- [eval/run-dogfood-eval.ts](/Users/envvar/work/repos/cxs/eval/run-dogfood-eval.ts) 已提供本机 dogfood golden runner：\n - 读取 ignored JSONL golden 文件\n - 检查 expected session / cwd / matchSource / context key phrase\n - `hard` 失败会以非零退出阻断本机 gate\n - `candidate` 失败只报告，不阻断\n\n建议动作：\n\n- 扩充真实 query 集\n- 继续用 dev-only `~/.agents/skills/cxs-dogfood` 手动策展本机 dogfood golden；不要把私有样本放进发行 skill package\n- 增加更强断言：\n - session 是否对\n - `read-range` 是否给出有用上下文\n - 是否命中关键 message / key phrase\n- 继续复用现有：\n - `npm run eval:manual`\n - `npm run eval:dogfood -- <goldens.local.jsonl>`\n - `npm run eval:compare -- <before> <after>`\n\n### P1: 已补 session-level 字段召回\n\n目标：解决“正文不命中、只有 title / summary / compact handoff 命中”的 recall 漏洞。\n\n当前现状：\n\n- `messages_fts` 负责真实 message evidence recall\n- `sessions_fts(title + summary_text + compact_text + reasoning_summary_text)` 负责 session-level recall\n- 字段权重固定为：title 8.0、compact 4.0、summary 3.0、reasoning summary 1.2\n- session-only 命中返回 `matchSource = \"session\"`，且 `matchSeq = null`\n- CLI 对 session-only 命中建议 `read-page`，不伪造 `read-range --seq`\n\n已经排除：\n\n- 不把 summary 写成 `seq = -1` 的虚拟 message\n- 不新增 `session_projections` 业务表\n\n后续需要补：\n\n- 把 title/summary/compact-only query 加进 manual eval\n- 对 session-only 命中补专门断言\n\n### P2: 真正的 query profile 分流\n\n目标：让 broad / exact query 的排序策略真正分开。\n\n当前现状：\n\n- [ranking.ts](/Users/envvar/work/repos/cxs/src/ranking.ts) 仍保留 `classifyQueryProfile()`\n- 但当前 scoring 没有按 `kind` 做显式不同权重\n\n这意味着：\n\n- 分类标签还在\n- 真正的分流还没完成\n\n### P3: 更重的 retrieval 能力\n\n暂不优先：\n\n- resource-level reranker\n- richer projection\n- duplicate family collapse / diversity control\n- heavier model / vector retrieval\n\n这些都应该建立在更强 eval 之后，而不是先上。\n","numLines":85,"startLine":1,"totalLines":85}},"sourceToolAssistantUUID":"a059bb28-46ca-422f-90db-a45ad29f7af0","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 65 65 + {"parentUuid":"eb4bdedd-b260-44e8-b2a5-ac01d6cb28b4","isSidechain":false,"message":{"id":"msg_2a493d7d398e4f458dc63681","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_9411312ef1aa4047a7268959","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/src/types.ts"}}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"2197bdcb-586d-4a67-8a65-e47d0d2b453e","timestamp":"2026-04-29T14:32:07.083Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 66 66 + {"parentUuid":"2197bdcb-586d-4a67-8a65-e47d0d2b453e","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_9411312ef1aa4047a7268959","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"03f94277-8881-42b1-bbb0-fca3347e9cda","timestamp":"2026-04-29T14:32:07.097Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 67 67 + {"parentUuid":"2197bdcb-586d-4a67-8a65-e47d0d2b453e","isSidechain":false,"promptId":"dd3a2b3d-97e6-4c08-989c-bd4676917afb","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_9411312ef1aa4047a7268959","type":"tool_result","content":"1\texport type MessageRole = \"user\" | \"assistant\";\n2\texport type MatchSource = \"message\" | \"session\";\n3\texport type FindMatchRole = MessageRole | \"session\";\n4\t\n5\texport interface ParsedMessage {\n6\t role: MessageRole;\n7\t contentText: string;\n8\t timestamp: string;\n9\t seq: number;\n10\t sourceKind: \"event_msg\";\n11\t}\n12\t\n13\texport interface ParsedSession {\n14\t sessionUuid: string;\n15\t filePath: string;\n16\t title: string;\n17\t summaryText: string;\n18\t compactText: string;\n19\t reasoningSummaryText: string;\n20\t cwd: string;\n21\t model: string;\n22\t startedAt: string;\n23\t endedAt: string;\n24\t messages: ParsedMessage[];\n25\t}\n26\t\n27\texport type ParseSessionResult =\n28\t | { kind: \"parsed\"; session: ParsedSession }\n29\t | { kind: \"filtered\" }\n30\t | { kind: \"skipped\" };\n31\t\n32\texport interface SyncErrorDetail {\n33\t filePath: string;\n34\t message: string;\n35\t}\n36\t\n37\texport type Selector =\n38\t | { kind: \"all\"; root: string }\n39\t | { kind: \"date_range\"; root: string; fromDate: string; toDate: string }\n40\t | { kind: \"cwd\"; root: string; cwd: string }\n41\t | { kind: \"cwd_date_range\"; root: string; cwd: string; fromDate: string; toDate: string };\n42\t\n43\texport type SelectorKind = Selector[\"kind\"];\n44\t\n45\texport interface DateRange {\n46\t from: string | null;\n47\t to: string | null;\n48\t}\n49\t\n50\texport interface SourceInventoryCwdGroup {\n51\t cwd: string;\n52\t fileCount: number;\n53\t pathDateRange: DateRange;\n54\t}\n55\t\n56\texport interface SourceInventory {\n57\t root: string;\n58\t totalFiles: number;\n59\t pathDateRange: DateRange;\n60\t cwdGroups: SourceInventoryCwdGroup[];\n61\t}\n62\t\n63\texport interface SourceFileMeta {\n64\t filePath: string;\n65\t pathDate: string | null;\n66\t cwd: string;\n67\t mtimeMs: number;\n68\t size: number;\n69\t}\n70\t\n71\texport interface SourceSnapshot {\n72\t selector: Selector;\n73\t fingerprint: string;\n74\t fileCount: number;\n75\t files: SourceFileMeta[];\n76\t}\n77\t\n78\texport interface CoverageRecord {\n79\t id: number;\n80\t selector: Selector;\n81\t sourceFingerprint: string;\n82\t sourceFileCount: number;\n83\t indexedSessionCount: number;\n84\t completedAt: string;\n85\t indexVersion: string;\n86\t}\n87\t\n88\texport interface CoverageInventoryStatus extends CoverageRecord {\n89\t freshness: \"fresh\" | \"stale\";\n90\t currentSourceFingerprint: string;\n91\t currentSourceFileCount: number;\n92\t}\n93\t\n94\texport interface CoverageWriteSummary {\n95\t written: boolean;\n96\t selector: Selector;\n97\t sourceFingerprint: string;\n98\t sourceFileCount: number;\n99\t indexedSessionCount: number;\n100\t reason?: string;\n101\t}\n102\t\n103\texport interface CoverageStatus {\n104\t requested: Selector | null;\n105\t complete: boolean;\n106\t freshness: \"not_checked\";\n107\t coveringSelectors: CoverageRecord[];\n108\t}\n109\t\n110\texport interface SessionRecord {\n111\t sessionUuid: string;\n112\t filePath: string;\n113\t sourceRoot: string;\n114\t title: string;\n115\t summaryText: string;\n116\t cwd: string;\n117\t model: string;\n118\t startedAt: string;\n119\t endedAt: string;\n120\t pathDate: string;\n121\t messageCount: number;\n122\t}\n123\t\n124\texport interface MessageRecord {\n125\t sessionUuid: string;\n126\t seq: number;\n127\t role: MessageRole;\n128\t contentText: string;\n129\t timestamp: string;\n130\t sourceKind: string;\n131\t}\n132\t\n133\texport interface FindResult {\n134\t rank: number;\n135\t sessionUuid: string;\n136\t title: string;\n137\t summaryText: string;\n138\t cwd: string;\n139\t startedAt: string;\n140\t endedAt: string;\n141\t matchCount: number;\n142\t matchSource: MatchSource;\n143\t matchSeq: number | null;\n144\t matchRole: FindMatchRole;\n145\t matchTimestamp: string | null;\n146\t score: number;\n147\t snippet: string;\n148\t}\n149\t\n150\texport interface SyncSummary {\n151\t scanned: number;\n152\t added: number;\n153\t updated: number;\n154\t skipped: number;\n155\t filtered: number;\n156\t removed: number;\n157\t errors: number;\n158\t errorDetails: SyncErrorDetail[];\n159\t selector: Selector;\n160\t coverage: CoverageWriteSummary;\n161\t}\n162\t\n163\texport interface SessionListEntry {\n164\t sessionUuid: string;\n165\t title: string;\n166\t summaryText: string;\n167\t cwd: string;\n168\t startedAt: string;\n169\t endedAt: string;\n170\t pathDate: string;\n171\t messageCount: number;\n172\t}\n173\t\n174\texport type SessionListSort = \"ended\" | \"started\" | \"messages\";\n175\t\n176\texport interface SessionListQuery {\n177\t cwd?: string;\n178\t since?: string;\n179\t selector?: Selector;\n180\t sort: SessionListSort;\n181\t limit: number;\n182\t}\n183\t\n184\texport interface CwdCount {\n185\t cwd: string;\n186\t count: number;\n187\t}\n188\t\n189\texport interface StatsSummary {\n190\t sessionCount: number;\n191\t messageCount: number;\n192\t earliestStartedAt: string | null;\n193\t latestEndedAt: string | null;\n194\t topCwds: CwdCount[];\n195\t indexVersion: string;\n196\t dbPath: string;\n197\t dbSizeBytes: number;\n198\t lastSyncAt: string | null;\n199\t coverage: CoverageRecord[];\n200\t}\n201\t\n202\texport interface StatusSummary {\n203\t context: {\n204\t cwd: string;\n205\t root: string;\n206\t dbPath: string;\n207\t indexVersion: string;\n208\t };\n209\t sourceInventory: SourceInventory;\n210\t index: {\n211\t exists: boolean;\n212\t sessionCount: number;\n213\t messageCount: number;\n214\t earliestStartedAt: string | null;\n215\t latestEndedAt: string | null;\n216\t dbSizeBytes: number;\n217\t lastSyncAt: string | null;\n218\t };\n219\t coverage: CoverageInventoryStatus[];\n220\t}\n221\t"}]},"uuid":"511f5506-31a8-46c9-9865-7de93b19bc37","timestamp":"2026-04-29T14:32:07.098Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/types.ts","content":"export type MessageRole = \"user\" | \"assistant\";\nexport type MatchSource = \"message\" | \"session\";\nexport type FindMatchRole = MessageRole | \"session\";\n\nexport interface ParsedMessage {\n role: MessageRole;\n contentText: string;\n timestamp: string;\n seq: number;\n sourceKind: \"event_msg\";\n}\n\nexport interface ParsedSession {\n sessionUuid: string;\n filePath: string;\n title: string;\n summaryText: string;\n compactText: string;\n reasoningSummaryText: string;\n cwd: string;\n model: string;\n startedAt: string;\n endedAt: string;\n messages: ParsedMessage[];\n}\n\nexport type ParseSessionResult =\n | { kind: \"parsed\"; session: ParsedSession }\n | { kind: \"filtered\" }\n | { kind: \"skipped\" };\n\nexport interface SyncErrorDetail {\n filePath: string;\n message: string;\n}\n\nexport type Selector =\n | { kind: \"all\"; root: string }\n | { kind: \"date_range\"; root: string; fromDate: string; toDate: string }\n | { kind: \"cwd\"; root: string; cwd: string }\n | { kind: \"cwd_date_range\"; root: string; cwd: string; fromDate: string; toDate: string };\n\nexport type SelectorKind = Selector[\"kind\"];\n\nexport interface DateRange {\n from: string | null;\n to: string | null;\n}\n\nexport interface SourceInventoryCwdGroup {\n cwd: string;\n fileCount: number;\n pathDateRange: DateRange;\n}\n\nexport interface SourceInventory {\n root: string;\n totalFiles: number;\n pathDateRange: DateRange;\n cwdGroups: SourceInventoryCwdGroup[];\n}\n\nexport interface SourceFileMeta {\n filePath: string;\n pathDate: string | null;\n cwd: string;\n mtimeMs: number;\n size: number;\n}\n\nexport interface SourceSnapshot {\n selector: Selector;\n fingerprint: string;\n fileCount: number;\n files: SourceFileMeta[];\n}\n\nexport interface CoverageRecord {\n id: number;\n selector: Selector;\n sourceFingerprint: string;\n sourceFileCount: number;\n indexedSessionCount: number;\n completedAt: string;\n indexVersion: string;\n}\n\nexport interface CoverageInventoryStatus extends CoverageRecord {\n freshness: \"fresh\" | \"stale\";\n currentSourceFingerprint: string;\n currentSourceFileCount: number;\n}\n\nexport interface CoverageWriteSummary {\n written: boolean;\n selector: Selector;\n sourceFingerprint: string;\n sourceFileCount: number;\n indexedSessionCount: number;\n reason?: string;\n}\n\nexport interface CoverageStatus {\n requested: Selector | null;\n complete: boolean;\n freshness: \"not_checked\";\n coveringSelectors: CoverageRecord[];\n}\n\nexport interface SessionRecord {\n sessionUuid: string;\n filePath: string;\n sourceRoot: string;\n title: string;\n summaryText: string;\n cwd: string;\n model: string;\n startedAt: string;\n endedAt: string;\n pathDate: string;\n messageCount: number;\n}\n\nexport interface MessageRecord {\n sessionUuid: string;\n seq: number;\n role: MessageRole;\n contentText: string;\n timestamp: string;\n sourceKind: string;\n}\n\nexport interface FindResult {\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: MatchSource;\n matchSeq: number | null;\n matchRole: FindMatchRole;\n matchTimestamp: string | null;\n score: number;\n snippet: string;\n}\n\nexport interface SyncSummary {\n scanned: number;\n added: number;\n updated: number;\n skipped: number;\n filtered: number;\n removed: number;\n errors: number;\n errorDetails: SyncErrorDetail[];\n selector: Selector;\n coverage: CoverageWriteSummary;\n}\n\nexport interface SessionListEntry {\n sessionUuid: string;\n title: string;\n summaryText: string;\n cwd: string;\n startedAt: string;\n endedAt: string;\n pathDate: string;\n messageCount: number;\n}\n\nexport type SessionListSort = \"ended\" | \"started\" | \"messages\";\n\nexport interface SessionListQuery {\n cwd?: string;\n since?: string;\n selector?: Selector;\n sort: SessionListSort;\n limit: number;\n}\n\nexport interface CwdCount {\n cwd: string;\n count: number;\n}\n\nexport interface StatsSummary {\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n topCwds: CwdCount[];\n indexVersion: string;\n dbPath: string;\n dbSizeBytes: number;\n lastSyncAt: string | null;\n coverage: CoverageRecord[];\n}\n\nexport interface StatusSummary {\n context: {\n cwd: string;\n root: string;\n dbPath: string;\n indexVersion: string;\n };\n sourceInventory: SourceInventory;\n index: {\n exists: boolean;\n sessionCount: number;\n messageCount: number;\n earliestStartedAt: string | null;\n latestEndedAt: string | null;\n dbSizeBytes: number;\n lastSyncAt: string | null;\n };\n coverage: CoverageInventoryStatus[];\n}\n","numLines":221,"startLine":1,"totalLines":221}},"sourceToolAssistantUUID":"2197bdcb-586d-4a67-8a65-e47d0d2b453e","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 68 68 + {"type":"last-prompt","lastPrompt":"review 下这个项目 你先看看这个项目理解下 然后先来定一下 review 的方向","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 69 69 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 70 70 + {"parentUuid":"511f5506-31a8-46c9-9865-7de93b19bc37","isSidechain":false,"message":{"id":"msg_8402e68f90fa490abbf778c1","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"Now I have a good understanding of the project. Let me summarize what I know and propose review directions.\n\nThe project is `cxs` - a progressive search CLI for local Codex session logs. Key characteristics:\n\n1. **Architecture**: TypeScript, SQLite (better-sqlite3), CLI via commander, esbuild for bundling\n2. **Core flow**: status → sync --selector → find/list → read-range/read-page\n3. **Key components**:\n - Parser: Codex JSONL → parsed sessions/messages\n - Indexer: sync raw files into SQLite index\n - Query: FTS5-based search with session-level and message-level recall\n - Ranking: heuristic rerank\n4. **Code size**: ~9.3K lines total across src/\n5. **Recent work**: structural refactoring (moved to src/), eval infrastructure\n\nPotential review directions I'm thinking about:\n\n1. **代码质量与架构** - module boundaries, error handling, type safety\n2. **查询与排序质量** - FTS5 setup, ranking logic, session-level recall\n3. **Eval 覆盖度** - test coverage, eval infrastructure strength\n4. **CLI/UX** - command surface, error messages, edge cases\n5. **数据层** - schema design, migration safety, coverage semantics\n6. **性能** - indexing speed, query latency, SQLite optimization\n\nLet me propose these directions to the user.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"4ce3fcff-befd-49c8-98eb-3cb9b1f41b0d","timestamp":"2026-04-29T14:32:15.516Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 71 71 + {"parentUuid":"4ce3fcff-befd-49c8-98eb-3cb9b1f41b0d","isSidechain":false,"message":{"id":"msg_8402e68f90fa490abbf778c1","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"text","text":"项目基本了解了。`cxs` 是一个面向本机 Codex session 日志的渐进式检索 CLI，核心链路是 `JSONL 解析 → SQLite FTS5 索引 → 召回/排序/渐进读取`。\n\n代码量约 9.3K 行，模块边界比较清晰。以下是几个可行的 review 方向，你挑感兴趣的：\n\n| 方向 | 关注点 | 适合场景 |\n|---|---|---|\n| **A. 架构与模块边界** | 模块职责是否单一、依赖方向是否合理、`db/` 和 `query/` 的 facade 是否干净 | 想确认拆分质量 |\n| **B. 查询与排序逻辑** | FTS5 配置、session-level 字段权重、heuristic rerank、`classifyQueryProfile()` 是否有死代码 | 核心检索质量 |\n| **C. Eval 与测试覆盖** | 测试覆盖是否充分、dogfood eval 基线是否可信、缺失的关键断言 | ROADMAP P0 优先 |\n| **D. 数据层与 schema** | SQLite schema 设计、coverage 语义、sync 并发安全、迁移策略 | 偏基础设施 |\n| **E. CLI/UX 与错误处理** | 命令面设计、错误消息友好度、边界行为（无索引、空结果、损坏数据） | 面向用户体验 |\n| **F. 全面扫一遍** | 上面都看，但每个方向只抓高优问题 | 想要快速全局判断 |\n\n你想走哪个方向？"}],"usage":{"input_tokens":2953,"cache_creation_input_tokens":0,"cache_read_input_tokens":46976,"output_tokens":654,"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":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_reason":"end_turn"},"type":"assistant","uuid":"dc1ed443-fef0-422c-b8a5-3d2953c0393d","timestamp":"2026-04-29T14:32:21.588Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 72 72 + 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{"parentUuid":"29624286-5f4e-4ddc-ac29-8d5edaf5bbc0","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":"B"},"uuid":"aa005d4b-b0e6-41fd-b958-f388d17fcde1","timestamp":"2026-04-29T14:32:55.158Z","permissionMode":"bypassPermissions","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 76 76 + {"parentUuid":"aa005d4b-b0e6-41fd-b958-f388d17fcde1","isSidechain":false,"message":{"id":"msg_f925ac62adc64fb0a7a5ab2d","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"用户选择了 B: 查询与排序逻辑。我需要深入看 FTS5 配置、session-level 字段权重、heuristic rerank、query profile 分流等核心检索逻辑。\n\nLet me read the key files.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"8a478a36-fa48-4943-8201-ef490b887e07","timestamp":"2026-04-29T14:32:58.683Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 77 77 + 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from \"../tokenize\";\n4\timport type { Selector } from \"../types\";\n5\timport type { Db, SqlParams } from \"../db\";\n6\timport { makeLikeSnippet, makeRawSnippet } from \"./snippet\";\n7\t\n8\texport function searchMessageHits(\n9\t db: Db,\n10\t query: string,\n11\t limit: number,\n12\t sessionUuid?: string,\n13\t selector: Selector | null = null,\n14\t): RawHitRow[] {\n15\t const normalized = query.trim();\n16\t if (!normalized) return [];\n17\t\n18\t const terms = queryTerms(normalized);\n19\t // Queries that degenerate to zero tokens (e.g. a single kanji dropped as\n20\t // stop-word-like noise, or whitespace only) cannot hit the FTS index. Fall\n21\t // back to a bounded LIKE scan so single-character CJK probes still work\n22\t // even though they are discouraged.\n23\t if (terms.length === 0) {\n24\t if (hasCjk(normalized)) return searchByLike(db, normalized, limit, sessionUuid, selector);\n25\t return [];\n26\t }\n27\t\n28\t return searchByFts(db, terms, limit, sessionUuid, selector);\n29\t}\n30\t\n31\texport function searchSessionHits(db: Db, query: string, limit: number, selector: Selector | null): RawHitRow[] {\n32\t const normalized = query.trim();\n33\t if (!normalized || !tableExists(db, \"sessions_fts\")) return [];\n34\t\n35\t const terms = queryTerms(normalized);\n36\t if (terms.length === 0) return [];\n37\t\n38\t return searchSessionsByFts(db, normalized, terms, limit, selector);\n39\t}\n40\t\n41\tfunction searchByFts(\n42\t db: Db,\n43\t terms: string[],\n44\t limit: number,\n45\t sessionUuid?: string,\n46\t selector: Selector | null = null,\n47\t): RawHitRow[] {\n48\t const matchExpr = buildFtsMatch(terms);\n49\t const conditions = [`messages_fts MATCH ?`];\n50\t const params: SqlParams = [matchExpr];\n51\t\n52\t if (selector) {\n53\t const selectorWhere = selectorWhereSql(selector, \"s\");\n54\t conditions.push(...selectorWhere.conditions);\n55\t params.push(...selectorWhere.params);\n56\t }\n57\t if (sessionUuid) {\n58\t conditions.push(\"m.session_uuid = ?\");\n59\t params.push(sessionUuid);\n60\t }\n61\t params.push(limit);\n62\t\n63\t return db\n64\t .prepare<typeof params, RawHitRow>(`\n65\t SELECT\n66\t s.session_uuid AS sessionUuid,\n67\t s.title AS title,\n68\t s.summary_text AS summaryText,\n69\t s.cwd AS cwd,\n70\t s.started_at AS startedAt,\n71\t s.ended_at AS endedAt,\n72\t 'message' AS matchSource,\n73\t m.seq AS matchSeq,\n74\t m.role AS matchRole,\n75\t m.timestamp AS matchTimestamp,\n76\t m.content_text AS contentText,\n77\t snippet(messages_fts, 0, '<mark>', '</mark>', '…', 16) AS snippet,\n78\t bm25(messages_fts) AS score\n79\t FROM messages_fts\n80\t JOIN messages m ON m.id = messages_fts.rowid\n81\t JOIN sessions s ON s.id = m.session_id\n82\t WHERE ${conditions.join(\" AND \")}\n83\t ORDER BY score\n84\t LIMIT ?\n85\t `)\n86\t .all(...params) as RawHitRow[];\n87\t}\n88\t\n89\tfunction searchSessionsByFts(\n90\t db: Db,\n91\t query: string,\n92\t terms: string[],\n93\t limit: number,\n94\t selector: Selector | null,\n95\t): RawHitRow[] {\n96\t const matchExpr = buildFtsMatch(terms);\n97\t const conditions = [\"sessions_fts MATCH ?\"];\n98\t const params: SqlParams = [matchExpr];\n99\t if (selector) {\n100\t const selectorWhere = selectorWhereSql(selector, \"s\");\n101\t conditions.push(...selectorWhere.conditions);\n102\t params.push(...selectorWhere.params);\n103\t }\n104\t params.push(limit);\n105\t const rows = db\n106\t .prepare<typeof params, RawHitRow>(`\n107\t SELECT\n108\t s.session_uuid AS sessionUuid,\n109\t s.title AS title,\n110\t s.summary_text AS summaryText,\n111\t s.cwd AS cwd,\n112\t s.started_at AS startedAt,\n113\t s.ended_at AS endedAt,\n114\t 'session' AS matchSource,\n115\t NULL AS matchSeq,\n116\t 'session' AS matchRole,\n117\t NULL AS matchTimestamp,\n118\t s.title || char(10) || s.summary_text || char(10) || s.compact_text || char(10) || s.reasoning_summary_text AS contentText,\n119\t '' AS snippet,\n120\t bm25(sessions_fts, 8.0, 3.0, 4.0, 1.2) AS score\n121\t FROM sessions_fts\n122\t JOIN sessions s ON s.id = sessions_fts.rowid\n123\t WHERE ${conditions.join(\" AND \")}\n124\t ORDER BY score\n125\t LIMIT ?\n126\t `)\n127\t .all(...params) as RawHitRow[];\n128\t\n129\t return rows.map((row) => ({\n130\t ...row,\n131\t snippet: makeRawSnippet(row.contentText, query, terms),\n132\t }));\n133\t}\n134\t\n135\tfunction searchByLike(\n136\t db: Db,\n137\t query: string,\n138\t limit: number,\n139\t sessionUuid?: string,\n140\t selector: Selector | null = null,\n141\t): RawHitRow[] {\n142\t const conditions = [\"lower(m.content_text) LIKE ? ESCAPE '\\\\'\"];\n143\t const params: SqlParams = [`%${escapeLike(query.toLowerCase())}%`];\n144\t if (selector) {\n145\t const selectorWhere = selectorWhereSql(selector, \"s\");\n146\t conditions.push(...selectorWhere.conditions);\n147\t params.push(...selectorWhere.params);\n148\t }\n149\t if (sessionUuid) {\n150\t conditions.push(\"m.session_uuid = ?\");\n151\t params.push(sessionUuid);\n152\t }\n153\t params.push(limit);\n154\t\n155\t const rows = db\n156\t .prepare<typeof params, RawHitRow & { contentText: string }>(`\n157\t SELECT\n158\t s.session_uuid AS sessionUuid,\n159\t s.title AS title,\n160\t s.summary_text AS summaryText,\n161\t s.cwd AS cwd,\n162\t s.started_at AS startedAt,\n163\t s.ended_at AS endedAt,\n164\t 'message' AS matchSource,\n165\t m.seq AS matchSeq,\n166\t m.role AS matchRole,\n167\t m.timestamp AS matchTimestamp,\n168\t m.content_text AS contentText\n169\t FROM messages m\n170\t JOIN sessions s ON s.id = m.session_id\n171\t WHERE ${conditions.join(\" AND \")}\n172\t ORDER BY s.started_at DESC, m.seq ASC\n173\t LIMIT ?\n174\t `)\n175\t .all(...params) as Array<RawHitRow & { contentText: string }>;\n176\t\n177\t return rows.map((row, index) => ({\n178\t ...row,\n179\t snippet: makeLikeSnippet(row.contentText, query),\n180\t // Negate the ordinal so LIKE rows share the \"lower is better\" polarity\n181\t // with bm25() scores; downstream rerank sorts on row metrics, but any\n182\t // code that touches this raw score won't see a sign mismatch.\n183\t score: -(index + 1),\n184\t }));\n185\t}\n186\t\n187\tfunction tableExists(db: Db, tableName: string): boolean {\n188\t const row = db\n189\t .prepare<[string], unknown>(\"SELECT 1 FROM sqlite_master WHERE name = ? LIMIT 1\")\n190\t .get(tableName);\n191\t return Boolean(row);\n192\t}\n193\t\n194\t/**\n195\t * Build an FTS5 MATCH expression from already-tokenized terms. Each term is\n196\t * quoted and ANDed, giving us intersection semantics across CJK bigrams and\n197\t * non-CJK words alike.\n198\t */\n199\tfunction buildFtsMatch(terms: string[]): string {\n200\t return terms.map(quoteFtsTerm).join(\" AND \");\n201\t}\n202\t\n203\tfunction quoteFtsTerm(term: string): string {\n204\t // FTS5 treats unquoted * / ^ / NEAR / NOT / AND / OR as operators. Wrapping\n205\t // each term in double quotes neutralizes all of them (including *), and we\n206\t // escape internal quotes by doubling them. Bigrams stay bigrams.\n207\t const escaped = term.replaceAll('\"', '\"\"');\n208\t return `\"${escaped}\"`;\n209\t}\n210\t\n211\t// LIKE-path escape stays unchanged: only CJK single-character probes and\n212\t// empty-token queries fall through to this branch now.\n213\tfunction escapeLike(value: string): string {\n214\t return value.replaceAll(\"\\\\\", \"\\\\\\\\\").replaceAll(\"%\", \"\\\\%\").replaceAll(\"_\", \"\\\\_\");\n215\t}\n216\t"}]},"uuid":"18c2e43a-9f1b-421a-91b4-e5537c5fc79d","timestamp":"2026-04-29T14:32:58.702Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/query/search.ts","content":"import { selectorWhereSql } from \"../db\";\nimport type { RawHitRow } from \"../ranking\";\nimport { hasCjk, queryTerms } from \"../tokenize\";\nimport type { Selector } from \"../types\";\nimport type { Db, SqlParams } from \"../db\";\nimport { makeLikeSnippet, makeRawSnippet } from \"./snippet\";\n\nexport function searchMessageHits(\n db: Db,\n query: string,\n limit: number,\n sessionUuid?: string,\n selector: Selector | null = null,\n): 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, selector);\n return [];\n }\n\n return searchByFts(db, terms, limit, sessionUuid, selector);\n}\n\nexport function searchSessionHits(db: Db, query: string, limit: number, selector: Selector | null): 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, selector);\n}\n\nfunction searchByFts(\n db: Db,\n terms: string[],\n limit: number,\n sessionUuid?: string,\n selector: Selector | null = null,\n): RawHitRow[] {\n const matchExpr = buildFtsMatch(terms);\n const conditions = [`messages_fts MATCH ?`];\n const params: SqlParams = [matchExpr];\n\n if (selector) {\n const selectorWhere = selectorWhereSql(selector, \"s\");\n conditions.push(...selectorWhere.conditions);\n params.push(...selectorWhere.params);\n }\n if (sessionUuid) {\n conditions.push(\"m.session_uuid = ?\");\n params.push(sessionUuid);\n }\n params.push(limit);\n\n return db\n .prepare<typeof params, RawHitRow>(`\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: Db,\n query: string,\n terms: string[],\n limit: number,\n selector: Selector | null,\n): RawHitRow[] {\n const matchExpr = buildFtsMatch(terms);\n const conditions = [\"sessions_fts MATCH ?\"];\n const params: SqlParams = [matchExpr];\n if (selector) {\n const selectorWhere = selectorWhereSql(selector, \"s\");\n conditions.push(...selectorWhere.conditions);\n params.push(...selectorWhere.params);\n }\n params.push(limit);\n const rows = db\n .prepare<typeof params, RawHitRow>(`\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 ${conditions.join(\" AND \")}\n ORDER BY score\n LIMIT ?\n `)\n .all(...params) as RawHitRow[];\n\n return rows.map((row) => ({\n ...row,\n snippet: makeRawSnippet(row.contentText, query, terms),\n }));\n}\n\nfunction searchByLike(\n db: Db,\n query: string,\n limit: number,\n sessionUuid?: string,\n selector: Selector | null = null,\n): RawHitRow[] {\n const conditions = [\"lower(m.content_text) LIKE ? ESCAPE '\\\\'\"];\n const params: SqlParams = [`%${escapeLike(query.toLowerCase())}%`];\n if (selector) {\n const selectorWhere = selectorWhereSql(selector, \"s\");\n conditions.push(...selectorWhere.conditions);\n params.push(...selectorWhere.params);\n }\n if (sessionUuid) {\n conditions.push(\"m.session_uuid = ?\");\n params.push(sessionUuid);\n }\n params.push(limit);\n\n const rows = db\n .prepare<typeof params, RawHitRow & { contentText: string }>(`\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 ${conditions.join(\" AND \")}\n ORDER BY s.started_at DESC, m.seq ASC\n LIMIT ?\n `)\n .all(...params) as Array<RawHitRow & { contentText: string }>;\n\n return rows.map((row, index) => ({\n ...row,\n snippet: makeLikeSnippet(row.contentText, query),\n // Negate the ordinal so LIKE rows share the \"lower is better\" polarity\n // with bm25() scores; downstream rerank sorts on row metrics, but any\n // code that touches this raw score won't see a sign mismatch.\n score: -(index + 1),\n }));\n}\n\nfunction tableExists(db: Db, tableName: string): boolean {\n const row = db\n .prepare<[string], unknown>(\"SELECT 1 FROM sqlite_master WHERE name = ? LIMIT 1\")\n .get(tableName);\n return Boolean(row);\n}\n\n/**\n * Build an FTS5 MATCH expression from already-tokenized terms. Each term is\n * quoted and ANDed, giving us intersection semantics across CJK bigrams and\n * non-CJK words alike.\n */\nfunction buildFtsMatch(terms: string[]): string {\n return terms.map(quoteFtsTerm).join(\" AND \");\n}\n\nfunction quoteFtsTerm(term: string): string {\n // FTS5 treats unquoted * / ^ / NEAR / NOT / AND / OR as operators. Wrapping\n // each term in double quotes neutralizes all of them (including *), and we\n // escape internal quotes by doubling them. Bigrams stay bigrams.\n const escaped = term.replaceAll('\"', '\"\"');\n return `\"${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","numLines":216,"startLine":1,"totalLines":216}},"sourceToolAssistantUUID":"7b2db9e8-e176-431d-9c35-09fcbfce895f","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 80 80 + {"parentUuid":"18c2e43a-9f1b-421a-91b4-e5537c5fc79d","isSidechain":false,"message":{"id":"msg_f925ac62adc64fb0a7a5ab2d","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_aa644b9b14e042fcaf2a8be0","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/src/ranking.ts"}}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"a146dd14-e37b-4473-b66c-e8644b2b4a45","timestamp":"2026-04-29T14:32:59.084Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 81 81 + {"parentUuid":"a146dd14-e37b-4473-b66c-e8644b2b4a45","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_aa644b9b14e042fcaf2a8be0","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"8d384f4e-0482-4afb-a927-4c355981c63e","timestamp":"2026-04-29T14:32:59.089Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 82 82 + {"parentUuid":"a146dd14-e37b-4473-b66c-e8644b2b4a45","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_aa644b9b14e042fcaf2a8be0","type":"tool_result","content":"1\timport type { FindMatchRole, FindResult, MatchSource } from \"./types\";\n2\timport { queryTerms } from \"./tokenize\";\n3\t\n4\texport interface RawHitRow {\n5\t sessionUuid: string;\n6\t title: string;\n7\t summaryText: string;\n8\t cwd: string;\n9\t startedAt: string;\n10\t endedAt: string;\n11\t matchSource: MatchSource;\n12\t matchSeq: number | null;\n13\t matchRole: FindMatchRole;\n14\t matchTimestamp: string | null;\n15\t contentText: string;\n16\t snippet: string;\n17\t // FTS path: negative bm25(). LIKE path: a small negative ordinal. 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":"0de9dc16-3cd3-4989-877f-e597c71f4a5b","timestamp":"2026-04-29T14:32:59.090Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/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":"a146dd14-e37b-4473-b66c-e8644b2b4a45","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 83 83 + {"parentUuid":"0de9dc16-3cd3-4989-877f-e597c71f4a5b","isSidechain":false,"message":{"id":"msg_f925ac62adc64fb0a7a5ab2d","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_38b725978a5947a1af791368","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/src/query/find.ts"}}],"usage":{"input_tokens":671,"cache_creation_input_tokens":0,"cache_read_input_tokens":49920,"output_tokens":140,"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":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_reason":"tool_use"},"type":"assistant","uuid":"0e674915-649e-4307-b953-78c378b4bccd","timestamp":"2026-04-29T14:32:59.568Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 84 84 + {"parentUuid":"0e674915-649e-4307-b953-78c378b4bccd","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_38b725978a5947a1af791368","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"f0b25a19-08ea-49a8-b3c3-c421a3e7c68a","timestamp":"2026-04-29T14:32:59.572Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 85 85 + {"parentUuid":"0e674915-649e-4307-b953-78c378b4bccd","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_38b725978a5947a1af791368","type":"tool_result","content":"1\timport { withReadDb } from \"../db\";\n2\timport { rerankHits } from \"../ranking\";\n3\timport type { FindResult, Selector } from \"../types\";\n4\timport { buildCoverageStatus } from \"./coverage\";\n5\timport { searchMessageHits, searchSessionHits } from \"./search\";\n6\t\n7\texport function findSessions(\n8\t dbPath: string,\n9\t query: string,\n10\t limit: number,\n11\t selector: Selector | null = null,\n12\t): { query: string; results: FindResult[]; coverage: ReturnType<typeof buildCoverageStatus> } {\n13\t return withReadDb(dbPath, (db) => {\n14\t const recallLimit = Math.max(limit * 12, 50);\n15\t const rawRows = [\n16\t ...searchMessageHits(db, query, recallLimit, undefined, selector),\n17\t ...searchSessionHits(db, query, recallLimit, selector),\n18\t ];\n19\t const results = rerankHits(rawRows, query, limit);\n20\t return { query, results, coverage: buildCoverageStatus(db, selector) };\n21\t });\n22\t}\n23\t"}]},"uuid":"d4146f58-d385-444b-9c70-13800b7ed682","timestamp":"2026-04-29T14:32:59.574Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/query/find.ts","content":"import { withReadDb } from \"../db\";\nimport { rerankHits } from \"../ranking\";\nimport type { FindResult, Selector } from \"../types\";\nimport { buildCoverageStatus } from \"./coverage\";\nimport { searchMessageHits, searchSessionHits } from \"./search\";\n\nexport function findSessions(\n dbPath: string,\n query: string,\n limit: number,\n selector: Selector | null = null,\n): { query: string; results: FindResult[]; coverage: ReturnType<typeof buildCoverageStatus> } {\n return withReadDb(dbPath, (db) => {\n const recallLimit = Math.max(limit * 12, 50);\n const rawRows = [\n ...searchMessageHits(db, query, recallLimit, undefined, selector),\n ...searchSessionHits(db, query, recallLimit, selector),\n ];\n const results = rerankHits(rawRows, query, limit);\n return { query, results, coverage: buildCoverageStatus(db, selector) };\n });\n}\n","numLines":23,"startLine":1,"totalLines":23}},"sourceToolAssistantUUID":"0e674915-649e-4307-b953-78c378b4bccd","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 86 86 + {"type":"last-prompt","lastPrompt":"B","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 87 87 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 88 88 + {"parentUuid":"d4146f58-d385-444b-9c70-13800b7ed682","isSidechain":false,"message":{"id":"msg_8002c0cdbf7a4b9e8081661a","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"Now let me also check the tokenize module, the schema, and the snippet module to understand the full picture.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"14ee4bd3-a9fe-42b7-b9e2-b72cf3d02142","timestamp":"2026-04-29T14:33:02.769Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 89 89 + {"parentUuid":"14ee4bd3-a9fe-42b7-b9e2-b72cf3d02142","isSidechain":false,"message":{"id":"msg_8002c0cdbf7a4b9e8081661a","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_e3468d33d80c42e29f73044c","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/src/tokenize.ts"}}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"a0a71a37-1679-4a12-a3ab-ebb4e26389d7","timestamp":"2026-04-29T14:33:02.769Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 90 90 + {"parentUuid":"a0a71a37-1679-4a12-a3ab-ebb4e26389d7","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_e3468d33d80c42e29f73044c","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"21af5795-aeff-4608-a804-36053efcffea","timestamp":"2026-04-29T14:33:02.788Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 91 91 + {"parentUuid":"a0a71a37-1679-4a12-a3ab-ebb4e26389d7","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_e3468d33d80c42e29f73044c","type":"tool_result","content":"1\tconst WORD_SEGMENTER = new Intl.Segmenter(\"zh-Hans-CN\", { granularity: \"word\" });\n2\tconst CJK_CHAR = /[\\p{Script=Han}\\p{Script=Hiragana}\\p{Script=Katakana}\\p{Script=Hangul}]/u;\n3\tconst CJK_ONLY = /^[\\p{Script=Han}\\p{Script=Hiragana}\\p{Script=Katakana}\\p{Script=Hangul}]+$/u;\n4\t\n5\t/**\n6\t * Split text into FTS-friendly tokens.\n7\t *\n8\t * Strategy:\n9\t * - CJK runs are split into overlapping bigrams (stable recall; ICU's\n10\t * zh-Hans word dictionary fragments technical terms too aggressively).\n11\t * - Non-CJK runs go through Intl.Segmenter to get wordlike tokens\n12\t * (handles sing-box -> [sing, box], preserves identifiers).\n13\t * - Single CJK characters are dropped: they carry no retrieval value\n14\t * and would otherwise act as stop-word-level noise.\n15\t *\n16\t * Use the same function for indexing and query-time term extraction\n17\t * so both paths produce matching tokens.\n18\t */\n19\texport function tokenize(text: string): string[] {\n20\t if (!text) return [];\n21\t const tokens: string[] = [];\n22\t let cjkBuffer = \"\";\n23\t let nonCjkBuffer = \"\";\n24\t\n25\t const flushCjk = () => {\n26\t if (!cjkBuffer) return;\n27\t if (cjkBuffer.length >= 2) {\n28\t for (let i = 0; i < cjkBuffer.length - 1; i += 1) {\n29\t tokens.push(cjkBuffer.slice(i, i + 2));\n30\t }\n31\t }\n32\t cjkBuffer = \"\";\n33\t };\n34\t\n35\t const flushNonCjk = () => {\n36\t if (!nonCjkBuffer) return;\n37\t for (const segment of WORD_SEGMENTER.segment(nonCjkBuffer)) {\n38\t if (!segment.isWordLike) continue;\n39\t const token = segment.segment.toLowerCase();\n40\t if (token) tokens.push(token);\n41\t }\n42\t nonCjkBuffer = \"\";\n43\t };\n44\t\n45\t for (const ch of text) {\n46\t if (CJK_CHAR.test(ch)) {\n47\t flushNonCjk();\n48\t cjkBuffer += ch;\n49\t } else {\n50\t flushCjk();\n51\t nonCjkBuffer += ch;\n52\t }\n53\t }\n54\t flushCjk();\n55\t flushNonCjk();\n56\t\n57\t return tokens;\n58\t}\n59\t\n60\t/**\n61\t * Produce the whitespace-joined representation of a text that gets\n62\t * stored in the FTS virtual column. Indexing and query pipelines must\n63\t * both go through tokenize() to stay in sync.\n64\t */\n65\texport function tokenizedText(text: string): string {\n66\t return tokenize(text).join(\" \");\n67\t}\n68\t\n69\t/**\n70\t * Query-time helper: returns the distinct token list for a query.\n71\t */\n72\texport function queryTerms(query: string): string[] {\n73\t return Array.from(new Set(tokenize(query)));\n74\t}\n75\t\n76\t/**\n77\t * Whether a query contains any CJK characters at all. Used to shape\n78\t * UX-facing fallbacks for queries that tokenize to nothing (e.g. a\n79\t * single kanji).\n80\t */\n81\texport function hasCjk(text: string): boolean {\n82\t return CJK_CHAR.test(text);\n83\t}\n84\t\n85\t/**\n86\t * Whether a token is purely CJK (useful when deciding whether to\n87\t * treat a token as a phrase vs a word).\n88\t */\n89\texport function isCjkToken(token: string): boolean {\n90\t return CJK_ONLY.test(token);\n91\t}\n92\t"}]},"uuid":"a3e72b60-c146-48cf-837d-7823f09028fd","timestamp":"2026-04-29T14:33:02.790Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/tokenize.ts","content":"const WORD_SEGMENTER = new Intl.Segmenter(\"zh-Hans-CN\", { granularity: \"word\" });\nconst CJK_CHAR = /[\\p{Script=Han}\\p{Script=Hiragana}\\p{Script=Katakana}\\p{Script=Hangul}]/u;\nconst CJK_ONLY = /^[\\p{Script=Han}\\p{Script=Hiragana}\\p{Script=Katakana}\\p{Script=Hangul}]+$/u;\n\n/**\n * Split text into FTS-friendly tokens.\n *\n * Strategy:\n * - CJK runs are split into overlapping bigrams (stable recall; ICU's\n * zh-Hans word dictionary fragments technical terms too aggressively).\n * - Non-CJK runs go through Intl.Segmenter to get wordlike tokens\n * (handles sing-box -> [sing, box], preserves identifiers).\n * - Single CJK characters are dropped: they carry no retrieval value\n * and would otherwise act as stop-word-level noise.\n *\n * Use the same function for indexing and query-time term extraction\n * so both paths produce matching tokens.\n */\nexport function tokenize(text: string): string[] {\n if (!text) return [];\n const tokens: string[] = [];\n let cjkBuffer = \"\";\n let nonCjkBuffer = \"\";\n\n const flushCjk = () => {\n if (!cjkBuffer) return;\n if (cjkBuffer.length >= 2) {\n for (let i = 0; i < cjkBuffer.length - 1; i += 1) {\n tokens.push(cjkBuffer.slice(i, i + 2));\n }\n }\n cjkBuffer = \"\";\n };\n\n const flushNonCjk = () => {\n if (!nonCjkBuffer) return;\n for (const segment of WORD_SEGMENTER.segment(nonCjkBuffer)) {\n if (!segment.isWordLike) continue;\n const token = segment.segment.toLowerCase();\n if (token) tokens.push(token);\n }\n nonCjkBuffer = \"\";\n };\n\n for (const ch of text) {\n if (CJK_CHAR.test(ch)) {\n flushNonCjk();\n cjkBuffer += ch;\n } else {\n flushCjk();\n nonCjkBuffer += ch;\n }\n }\n flushCjk();\n flushNonCjk();\n\n return tokens;\n}\n\n/**\n * Produce the whitespace-joined representation of a text that gets\n * stored in the FTS virtual column. Indexing and query pipelines must\n * both go through tokenize() to stay in sync.\n */\nexport function tokenizedText(text: string): string {\n return tokenize(text).join(\" \");\n}\n\n/**\n * Query-time helper: returns the distinct token list for a query.\n */\nexport function queryTerms(query: string): string[] {\n return Array.from(new Set(tokenize(query)));\n}\n\n/**\n * Whether a query contains any CJK characters at all. Used to shape\n * UX-facing fallbacks for queries that tokenize to nothing (e.g. a\n * single kanji).\n */\nexport function hasCjk(text: string): boolean {\n return CJK_CHAR.test(text);\n}\n\n/**\n * Whether a token is purely CJK (useful when deciding whether to\n * treat a token as a phrase vs a word).\n */\nexport function isCjkToken(token: string): boolean {\n return CJK_ONLY.test(token);\n}\n","numLines":92,"startLine":1,"totalLines":92}},"sourceToolAssistantUUID":"a0a71a37-1679-4a12-a3ab-ebb4e26389d7","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 92 92 + 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{"parentUuid":"71f96e91-cef3-469b-9e8a-60ec8c100b94","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_63a2eca42eb94f45b0f7ce4e","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"a055c050-1cb1-451a-9abc-fdc1a2dfe138","timestamp":"2026-04-29T14:33:03.119Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 94 94 + {"parentUuid":"71f96e91-cef3-469b-9e8a-60ec8c100b94","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_63a2eca42eb94f45b0f7ce4e","type":"tool_result","content":"1\timport type { Db } from \"./shared\";\n2\t\n3\texport function ensureSchema(db: Db): void {\n4\t db.exec(`\n5\t CREATE TABLE IF NOT EXISTS sessions (\n6\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n7\t session_uuid TEXT NOT NULL UNIQUE,\n8\t file_path TEXT NOT NULL UNIQUE,\n9\t source_root TEXT NOT NULL DEFAULT '',\n10\t title TEXT NOT NULL DEFAULT '',\n11\t summary_text TEXT NOT NULL DEFAULT '',\n12\t compact_text TEXT NOT NULL DEFAULT '',\n13\t reasoning_summary_text TEXT NOT NULL DEFAULT '',\n14\t cwd TEXT NOT NULL DEFAULT '',\n15\t model TEXT NOT NULL DEFAULT '',\n16\t started_at TEXT NOT NULL,\n17\t ended_at TEXT NOT NULL,\n18\t path_date TEXT NOT NULL DEFAULT '',\n19\t message_count INTEGER NOT NULL DEFAULT 0,\n20\t raw_file_mtime INTEGER NOT NULL DEFAULT 0,\n21\t raw_file_size INTEGER NOT NULL DEFAULT 0,\n22\t index_version TEXT NOT NULL DEFAULT '',\n23\t updated_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP\n24\t )\n25\t `);\n26\t\n27\t ensureTextColumn(db, \"sessions\", \"summary_text\");\n28\t ensureTextColumn(db, \"sessions\", \"compact_text\");\n29\t ensureTextColumn(db, \"sessions\", \"reasoning_summary_text\");\n30\t ensureTextColumn(db, \"sessions\", \"path_date\");\n31\t ensureTextColumn(db, \"sessions\", \"source_root\");\n32\t\n33\t db.exec(`\n34\t CREATE TABLE IF NOT EXISTS messages (\n35\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n36\t session_id INTEGER NOT NULL REFERENCES sessions(id) ON DELETE CASCADE,\n37\t session_uuid TEXT NOT NULL,\n38\t seq INTEGER NOT NULL,\n39\t role TEXT NOT NULL,\n40\t content_text TEXT NOT NULL,\n41\t timestamp TEXT NOT NULL,\n42\t source_kind TEXT NOT NULL,\n43\t UNIQUE(session_uuid, seq)\n44\t )\n45\t `);\n46\t\n47\t db.exec(\"CREATE INDEX IF NOT EXISTS idx_messages_session_seq ON messages(session_uuid, seq)\");\n48\t db.exec(\"CREATE INDEX IF NOT EXISTS idx_sessions_started_at ON sessions(started_at DESC)\");\n49\t\n50\t db.exec(`\n51\t CREATE VIRTUAL TABLE IF NOT EXISTS messages_fts USING fts5(\n52\t content_text,\n53\t session_uuid UNINDEXED,\n54\t seq UNINDEXED,\n55\t role UNINDEXED,\n56\t timestamp UNINDEXED,\n57\t tokenize='unicode61 remove_diacritics 1'\n58\t )\n59\t `);\n60\t\n61\t ensureSessionsFtsTable(db);\n62\t ensureCoverageTable(db);\n63\t\n64\t dropLegacyTrigramTable(db);\n65\t}\n66\t\n67\tfunction ensureCoverageTable(db: Db): void {\n68\t db.exec(`\n69\t CREATE TABLE IF NOT EXISTS coverage (\n70\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n71\t selector_key TEXT NOT NULL UNIQUE,\n72\t selector_json TEXT NOT NULL,\n73\t selector_kind TEXT NOT NULL,\n74\t root TEXT NOT NULL,\n75\t cwd TEXT,\n76\t from_date TEXT,\n77\t to_date TEXT,\n78\t source_fingerprint TEXT NOT NULL,\n79\t source_file_count INTEGER NOT NULL,\n80\t indexed_session_count INTEGER NOT NULL,\n81\t completed_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,\n82\t index_version TEXT NOT NULL\n83\t )\n84\t `);\n85\t\n86\t db.exec(\"CREATE INDEX IF NOT EXISTS idx_coverage_root ON coverage(root)\");\n87\t}\n88\t\n89\tfunction dropLegacyTrigramTable(db: Db): void {\n90\t // cxs <= v2 shipped a second FTS5 virtual table for CJK trigram search.\n91\t // The hybrid bigram+Segmenter tokenizer in tokenize.ts replaces it, so\n92\t // drop the old table and its shadow rows if they still exist.\n93\t db.exec(\"DROP TABLE IF EXISTS messages_fts_trigram\");\n94\t}\n95\t\n96\tfunction ensureSessionsFtsTable(db: Db): void {\n97\t const existing = db\n98\t .prepare(\"SELECT 1 FROM sqlite_master WHERE name = 'sessions_fts' LIMIT 1\")\n99\t .get();\n100\t\n101\t if (existing) {\n102\t const columns = db\n103\t .prepare(\"PRAGMA table_info(sessions_fts)\")\n104\t .all() as Array<{ name: string }>;\n105\t const names = new Set(columns.map((column) => column.name));\n106\t if (!names.has(\"compact_text\") || !names.has(\"reasoning_summary_text\")) {\n107\t db.exec(\"DROP TABLE sessions_fts\");\n108\t }\n109\t }\n110\t\n111\t db.exec(`\n112\t CREATE VIRTUAL TABLE IF NOT EXISTS sessions_fts USING fts5(\n113\t title,\n114\t summary_text,\n115\t compact_text,\n116\t reasoning_summary_text,\n117\t session_uuid UNINDEXED,\n118\t tokenize='unicode61 remove_diacritics 1'\n119\t )\n120\t `);\n121\t}\n122\t\n123\tfunction ensureTextColumn(db: Db, tableName: string, columnName: string): void {\n124\t const columns = db\n125\t .prepare(`PRAGMA table_info(${tableName})`)\n126\t .all() as Array<{ name?: string }>;\n127\t\n128\t if (columns.some((column) => column.name === columnName)) return;\n129\t db.exec(`ALTER TABLE ${tableName} ADD COLUMN ${columnName} TEXT NOT NULL DEFAULT ''`);\n130\t}\n131\t"}]},"uuid":"c1a0ec8e-48ad-4807-a99d-9d54c942cd17","timestamp":"2026-04-29T14:33:03.121Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/db/schema.ts","content":"import type { Db } from \"./shared\";\n\nexport function ensureSchema(db: Db): void {\n db.exec(`\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 source_root TEXT NOT NULL DEFAULT '',\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 path_date TEXT NOT NULL DEFAULT '',\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 ensureTextColumn(db, \"sessions\", \"path_date\");\n ensureTextColumn(db, \"sessions\", \"source_root\");\n\n db.exec(`\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.exec(\"CREATE INDEX IF NOT EXISTS idx_messages_session_seq ON messages(session_uuid, seq)\");\n db.exec(\"CREATE INDEX IF NOT EXISTS idx_sessions_started_at ON sessions(started_at DESC)\");\n\n db.exec(`\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 ensureCoverageTable(db);\n\n dropLegacyTrigramTable(db);\n}\n\nfunction ensureCoverageTable(db: Db): void {\n db.exec(`\n CREATE TABLE IF NOT EXISTS coverage (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n selector_key TEXT NOT NULL UNIQUE,\n selector_json TEXT NOT NULL,\n selector_kind TEXT NOT NULL,\n root TEXT NOT NULL,\n cwd TEXT,\n from_date TEXT,\n to_date TEXT,\n source_fingerprint TEXT NOT NULL,\n source_file_count INTEGER NOT NULL,\n indexed_session_count INTEGER NOT NULL,\n completed_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,\n index_version TEXT NOT NULL\n )\n `);\n\n db.exec(\"CREATE INDEX IF NOT EXISTS idx_coverage_root ON coverage(root)\");\n}\n\nfunction dropLegacyTrigramTable(db: Db): 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.exec(\"DROP TABLE IF EXISTS messages_fts_trigram\");\n}\n\nfunction ensureSessionsFtsTable(db: Db): void {\n const existing = db\n .prepare(\"SELECT 1 FROM sqlite_master WHERE name = 'sessions_fts' LIMIT 1\")\n .get();\n\n if (existing) {\n const columns = db\n .prepare(\"PRAGMA table_info(sessions_fts)\")\n .all() as Array<{ name: string }>;\n const names = new Set(columns.map((column) => column.name));\n if 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target = query.toLowerCase();\n4\t const index = lower.indexOf(target);\n5\t if (index < 0) return content.slice(0, 160);\n6\t const start = Math.max(0, index - 40);\n7\t const end = Math.min(content.length, index + target.length + 80);\n8\t const prefix = start > 0 ? \"…\" : \"\";\n9\t const suffix = end < content.length ? \"…\" : \"\";\n10\t const snippet = content.slice(start, end);\n11\t // Re-scan the snippet slice and wrap every occurrence so the returned\n12\t // snippet agrees with FTS5's snippet() which highlights all matches.\n13\t const highlighted = wrapAllOccurrences(snippet, target);\n14\t return `${prefix}${highlighted}${suffix}`;\n15\t}\n16\t\n17\texport function makeRawSnippet(content: string, query: string, terms: string[]): string {\n18\t const normalizedQuery = query.toLowerCase();\n19\t const lower = content.toLowerCase();\n20\t const phraseIndex = normalizedQuery ? lower.indexOf(normalizedQuery) : -1;\n21\t if (phraseIndex >= 0) {\n22\t return snippetAround(content, phraseIndex, query.length, [normalizedQuery]);\n23\t }\n24\t\n25\t const termLowers = uniqueNonEmpty(terms.map((term) => term.toLowerCase()));\n26\t const termHits = termLowers.flatMap((term) => collectTermHits(lower, term));\n27\t if (termHits.length === 0) return content.slice(0, 160);\n28\t\n29\t const bestWindow = termHits\n30\t .map((hit) => {\n31\t const start = Math.max(0, hit.index - 40);\n32\t const end = Math.min(content.length, hit.index + hit.length + 80);\n33\t return {\n34\t start,\n35\t end,\n36\t anchor: hit.index,\n37\t score: scoreSnippetWindow(lower.slice(start, end), termLowers),\n38\t };\n39\t })\n40\t .sort((left, right) => {\n41\t if (right.score !== left.score) return right.score - left.score;\n42\t return left.anchor - right.anchor;\n43\t })[0];\n44\t\n45\t return snippetWindow(content, bestWindow.start, bestWindow.end, termLowers);\n46\t}\n47\t\n48\tfunction snippetAround(content: string, index: number, length: number, needleLowers: string[]): string {\n49\t const start = Math.max(0, index - 40);\n50\t const end = Math.min(content.length, index + length + 80);\n51\t return snippetWindow(content, start, end, needleLowers);\n52\t}\n53\t\n54\tfunction snippetWindow(content: string, start: number, end: number, needleLowers: string[]): string {\n55\t const prefix = start > 0 ? \"…\" : \"\";\n56\t const suffix = end < content.length ? \"…\" : \"\";\n57\t const snippet = content.slice(start, end);\n58\t return `${prefix}${wrapAnyOccurrences(snippet, needleLowers)}${suffix}`;\n59\t}\n60\t\n61\tfunction collectTermHits(lower: string, termLower: string): Array<{ index: number; length: number }> {\n62\t const hits: Array<{ index: number; length: number }> = [];\n63\t let cursor = 0;\n64\t while (cursor < lower.length) {\n65\t const index = lower.indexOf(termLower, cursor);\n66\t if (index < 0) break;\n67\t hits.push({ index, length: termLower.length });\n68\t cursor = index + termLower.length;\n69\t }\n70\t return hits;\n71\t}\n72\t\n73\tfunction scoreSnippetWindow(lowerSnippet: string, termLowers: string[]): number {\n74\t let distinctTerms = 0;\n75\t let totalHits = 0;\n76\t let matchedChars = 0;\n77\t\n78\t for (const term of termLowers) {\n79\t const hits = collectTermHits(lowerSnippet, term).length;\n80\t if (hits > 0) distinctTerms += 1;\n81\t totalHits += hits;\n82\t matchedChars += hits * term.length;\n83\t }\n84\t\n85\t return distinctTerms * 1_000 + matchedChars * 10 + totalHits;\n86\t}\n87\t\n88\tfunction uniqueNonEmpty(values: string[]): string[] {\n89\t return [...new Set(values.filter(Boolean))];\n90\t}\n91\t\n92\tfunction wrapAnyOccurrences(haystack: string, needleLowers: string[]): string {\n93\t const needles = uniqueNonEmpty(needleLowers).sort((left, right) => right.length - left.length);\n94\t if (needles.length === 0) return haystack;\n95\t\n96\t const lower = haystack.toLowerCase();\n97\t const matches = needles\n98\t .flatMap((needle) => collectTermHits(lower, needle))\n99\t .sort((left, right) => {\n100\t if (left.index !== right.index) return left.index - right.index;\n101\t return right.length - left.length;\n102\t });\n103\t\n104\t const out: string[] = [];\n105\t let cursor = 0;\n106\t for (const match of matches) {\n107\t if (match.index < cursor) continue;\n108\t out.push(haystack.slice(cursor, match.index));\n109\t out.push(\"<mark>\");\n110\t out.push(haystack.slice(match.index, match.index + match.length));\n111\t out.push(\"</mark>\");\n112\t cursor = match.index + match.length;\n113\t }\n114\t out.push(haystack.slice(cursor));\n115\t return out.join(\"\");\n116\t}\n117\t\n118\tfunction wrapAllOccurrences(haystack: string, needleLower: string): string {\n119\t if (!needleLower) return haystack;\n120\t const out: string[] = [];\n121\t let cursor = 0;\n122\t const lower = haystack.toLowerCase();\n123\t while (cursor < haystack.length) {\n124\t const hit = lower.indexOf(needleLower, cursor);\n125\t if (hit < 0) {\n126\t out.push(haystack.slice(cursor));\n127\t break;\n128\t }\n129\t out.push(haystack.slice(cursor, hit));\n130\t out.push(\"<mark>\");\n131\t out.push(haystack.slice(hit, hit + needleLower.length));\n132\t out.push(\"</mark>\");\n133\t cursor = hit + needleLower.length;\n134\t }\n135\t return out.join(\"\");\n136\t}\n137\t"}]},"uuid":"823bbfed-830a-4738-ba28-00988c2a188b","timestamp":"2026-04-29T14:33:03.519Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/query/snippet.ts","content":"export function 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\nexport function 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","numLines":137,"startLine":1,"totalLines":137}},"sourceToolAssistantUUID":"129bec89-7e0d-4ba8-84c6-3a2779ab348a","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 98 98 + {"type":"last-prompt","lastPrompt":"B","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 99 99 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 100 100 + {"parentUuid":"823bbfed-830a-4738-ba28-00988c2a188b","isSidechain":false,"message":{"id":"msg_6be59e6b907c4194a9ed1652","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"Now let me also look at the test files related to query and ranking to understand what's already being tested.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"10104a30-83bb-4b81-a7b3-4900e10f2f62","timestamp":"2026-04-29T14:33:07.781Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 101 101 + {"parentUuid":"10104a30-83bb-4b81-a7b3-4900e10f2f62","isSidechain":false,"message":{"id":"msg_6be59e6b907c4194a9ed1652","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"text","text":"再看测试覆盖和 read 路径。"}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"91844872-4b18-4655-be2d-6e13c552756b","timestamp":"2026-04-29T14:33:08.286Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 102 102 + {"parentUuid":"91844872-4b18-4655-be2d-6e13c552756b","isSidechain":false,"message":{"id":"msg_6be59e6b907c4194a9ed1652","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_185b222ee64441f0926b51b1","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/src/query/read.ts"}}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"c392969b-e04b-4c8d-a976-46923c611f9b","timestamp":"2026-04-29T14:33:08.286Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 103 103 + {"parentUuid":"c392969b-e04b-4c8d-a976-46923c611f9b","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_185b222ee64441f0926b51b1","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"880088a6-a5cd-4e52-a9e4-d19814bcd10f","timestamp":"2026-04-29T14:33:08.291Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 104 104 + {"parentUuid":"c392969b-e04b-4c8d-a976-46923c611f9b","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_185b222ee64441f0926b51b1","type":"tool_result","content":"1\timport { coverageEntriesForSession, getMessagesForPage, getMessagesForRange, getSessionRecord, withReadDb } from \"../db\";\n2\timport { rerankHits } from \"../ranking\";\n3\timport type { FindResult, SessionRecord } from \"../types\";\n4\timport type { Db } from \"../db\";\n5\timport { searchMessageHits } from \"./search\";\n6\t\n7\texport function getMessageRange(\n8\t dbPath: string,\n9\t sessionUuid: string,\n10\t options: { seq?: number; query?: string; before: number; after: number },\n11\t): {\n12\t session: SessionRecord;\n13\t anchorSeq: number;\n14\t rangeStartSeq: number;\n15\t rangeEndSeq: number;\n16\t messages: ReturnType<typeof getMessagesForRange>;\n17\t coverage: { entries: ReturnType<typeof coverageEntriesForSession> };\n18\t} {\n19\t return withReadDb(dbPath, (db) => {\n20\t const anchorSeq = resolveAnchorSeq(db, sessionUuid, options.seq, options.query);\n21\t const session = getSessionRecord(db, sessionUuid);\n22\t if (!session) throw new Error(`session not found: ${sessionUuid}`);\n23\t\n24\t const rangeStartSeq = Math.max(0, anchorSeq - options.before);\n25\t const rangeEndSeq = anchorSeq + options.after;\n26\t const messages = getMessagesForRange(db, sessionUuid, rangeStartSeq, rangeEndSeq);\n27\t return {\n28\t session,\n29\t anchorSeq,\n30\t rangeStartSeq,\n31\t rangeEndSeq,\n32\t messages,\n33\t coverage: { entries: coverageEntriesForSession(db, session) },\n34\t };\n35\t });\n36\t}\n37\t\n38\texport function getMessagePage(\n39\t dbPath: string,\n40\t sessionUuid: string,\n41\t offset: number,\n42\t limit: number,\n43\t): {\n44\t session: SessionRecord;\n45\t offset: number;\n46\t limit: number;\n47\t totalCount: number;\n48\t hasMore: boolean;\n49\t messages: ReturnType<typeof getMessagesForPage>;\n50\t coverage: { entries: ReturnType<typeof coverageEntriesForSession> };\n51\t} {\n52\t return withReadDb(dbPath, (db) => {\n53\t const session = getSessionRecord(db, sessionUuid);\n54\t if (!session) throw new Error(`session not found: ${sessionUuid}`);\n55\t const messages = getMessagesForPage(db, sessionUuid, offset, limit);\n56\t const totalCount = session.messageCount;\n57\t const hasMore = offset + messages.length < totalCount;\n58\t return {\n59\t session,\n60\t offset,\n61\t limit,\n62\t totalCount,\n63\t hasMore,\n64\t messages,\n65\t coverage: { entries: coverageEntriesForSession(db, session) },\n66\t };\n67\t });\n68\t}\n69\t\n70\tfunction resolveAnchorSeq(\n71\t db: Db,\n72\t sessionUuid: string,\n73\t seq?: number,\n74\t query?: string,\n75\t): number {\n76\t if (typeof seq === \"number\") {\n77\t return seq;\n78\t }\n79\t\n80\t if (query) {\n81\t const best = searchTopHitInSession(db, sessionUuid, query);\n82\t if (best && typeof best.matchSeq === \"number\") return best.matchSeq;\n83\t }\n84\t\n85\t throw new Error(\"read-range requires explicit session_uuid plus either --seq or --query\");\n86\t}\n87\t\n88\tfunction searchTopHitInSession(db: Db, sessionUuid: string, query: string): FindResult | null {\n89\t const rows = searchMessageHits(db, query, 20, sessionUuid);\n90\t const result = rerankHits(rows, query, 1)[0];\n91\t return result ?? null;\n92\t}\n93\t"}]},"uuid":"36847b56-d885-4945-9b18-57292239e732","timestamp":"2026-04-29T14:33:08.293Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/query/read.ts","content":"import { coverageEntriesForSession, getMessagesForPage, getMessagesForRange, getSessionRecord, withReadDb } from \"../db\";\nimport { rerankHits } from \"../ranking\";\nimport type { FindResult, SessionRecord } from \"../types\";\nimport type { Db } from \"../db\";\nimport { searchMessageHits } from \"./search\";\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 coverage: { entries: ReturnType<typeof coverageEntriesForSession> };\n} {\n 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 {\n session,\n anchorSeq,\n rangeStartSeq,\n rangeEndSeq,\n messages,\n coverage: { entries: coverageEntriesForSession(db, session) },\n };\n });\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 coverage: { entries: ReturnType<typeof coverageEntriesForSession> };\n} {\n 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 {\n session,\n offset,\n limit,\n totalCount,\n hasMore,\n messages,\n coverage: { entries: coverageEntriesForSession(db, session) },\n };\n });\n}\n\nfunction resolveAnchorSeq(\n db: Db,\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: Db, 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","numLines":93,"startLine":1,"totalLines":93}},"sourceToolAssistantUUID":"c392969b-e04b-4c8d-a976-46923c611f9b","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 105 105 + {"parentUuid":"36847b56-d885-4945-9b18-57292239e732","isSidechain":false,"message":{"id":"msg_6be59e6b907c4194a9ed1652","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_a71d6779002545b2bbfa59f7","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/src/query-session-ranking.test.ts"}}],"usage":{"input_tokens":3895,"cache_creation_input_tokens":0,"cache_read_input_tokens":55936,"output_tokens":98,"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":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_reason":"tool_use"},"type":"assistant","uuid":"3b61a081-9f7f-4929-9468-23de507c407e","timestamp":"2026-04-29T14:33:08.422Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 106 106 + {"parentUuid":"3b61a081-9f7f-4929-9468-23de507c407e","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_a71d6779002545b2bbfa59f7","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"e7afdfb6-a9e6-4a86-a73a-b2ce4ec50197","timestamp":"2026-04-29T14:33:08.429Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 107 107 + {"parentUuid":"3b61a081-9f7f-4929-9468-23de507c407e","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_a71d6779002545b2bbfa59f7","type":"tool_result","content":"1\timport { describe, expect, test } from \"vitest\";\n2\timport { mkdtempSync, mkdirSync, writeFileSync } from \"node:fs\";\n3\timport { tmpdir } from \"node:os\";\n4\timport { join } from \"node:path\";\n5\timport { openWriteDb, replaceSession } from \"./db\";\n6\timport { INDEX_VERSION } from \"./env\";\n7\timport { syncSessions } from \"./indexer\";\n8\timport { findSessions } from \"./query\";\n9\timport { line, tempDirs } from \"./query-test-helpers\";\n10\t\n11\tdescribe(\"cxs session ranking\", () => {\n12\t test(\"session title hit outranks broad incidental mentions\", async () => {\n13\t const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\n14\t tempDirs.push(base);\n15\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n16\t mkdirSync(sessionsRoot, { recursive: true });\n17\t\n18\t writeFileSync(\n19\t join(sessionsRoot, \"rollout-2026-04-21T09-00-00-aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa.jsonl\"),\n20\t [\n21\t line(\"session_meta\", { id: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n22\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n23\t line(\"event_msg\", { type: \"user_message\", message: \"同步新 Mac 配置\" }),\n24\t line(\"event_msg\", { type: \"agent_message\", message: \"先确认 Hammerspoon 进程在不在\" }),\n25\t line(\"event_msg\", { type: \"agent_message\", message: \"Hammerspoon 路径已经对了\" }),\n26\t line(\"event_msg\", { type: \"agent_message\", message: \"如果 Hammerspoon console 没报错就继续\" }),\n27\t ].join(\"\\n\"),\n28\t );\n29\t\n30\t writeFileSync(\n31\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-bbbbbbbb-bbbb-4bbb-8bbb-bbbbbbbbbbbb.jsonl\"),\n32\t [\n33\t line(\"session_meta\", { id: \"bbbbbbbb-bbbb-4bbb-8bbb-bbbbbbbbbbbb\", cwd: \"/Users/envvar/.hammerspoon\" }),\n34\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n35\t line(\"event_msg\", { type: \"user_message\", message: \"hammerspoon clipboard 搜索坏了\" }),\n36\t line(\"event_msg\", { type: \"agent_message\", message: \"先检查 clipboard history\" }),\n37\t ].join(\"\\n\"),\n38\t );\n39\t\n40\t const dbPath = join(base, \"index.sqlite\");\n41\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n42\t expect(summary.added).toBe(2);\n43\t\n44\t const found = findSessions(dbPath, \"hammerspoon\", 5);\n45\t expect(found.results[0]?.sessionUuid).toBe(\"bbbbbbbb-bbbb-4bbb-8bbb-bbbbbbbbbbbb\");\n46\t });\n47\t\n48\t test(\"broad query prefers sustained session evidence over title-only incidental hit\", async () => {\n49\t const base = mkdtempSync(join(tmpdir(), \"cxs-broad-\"));\n50\t tempDirs.push(base);\n51\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"21\");\n52\t mkdirSync(sessionsRoot, { recursive: true });\n53\t\n54\t writeFileSync(\n55\t join(sessionsRoot, \"rollout-2026-04-21T09-00-00-cccccccc-cccc-4ccc-8ccc-cccccccccccc.jsonl\"),\n56\t [\n57\t line(\"session_meta\", { id: \"cccccccc-cccc-4ccc-8ccc-cccccccccccc\", cwd: \"/tmp/deploy-title\" }),\n58\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n59\t line(\"event_msg\", { type: \"user_message\", message: \"deploy checklist 先记一下\" }),\n60\t line(\"event_msg\", { type: \"agent_message\", message: \"今天主要在调 hammerspoon 输入法切换\" }),\n61\t line(\"event_msg\", { type: \"agent_message\", message: \"先确认 WeChat 输入法默认值\" }),\n62\t ].join(\"\\n\"),\n63\t );\n64\t\n65\t writeFileSync(\n66\t join(sessionsRoot, \"rollout-2026-04-21T10-00-00-dddddddd-dddd-4ddd-8ddd-dddddddddddd.jsonl\"),\n67\t [\n68\t line(\"session_meta\", { id: \"dddddddd-dddd-4ddd-8ddd-dddddddddddd\", cwd: \"/tmp/deploy-incident\" }),\n69\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n70\t line(\"event_msg\", { type: \"user_message\", message: \"fly deploy 之后 health check 还是 500\" }),\n71\t line(\"event_msg\", { type: \"agent_message\", message: \"先确认 deploy 之后的 readback 和 health check\" }),\n72\t line(\"event_msg\", { type: \"user_message\", message: \"这个 deploy 回滚后恢复了\" }),\n73\t ].join(\"\\n\"),\n74\t );\n75\t\n76\t const dbPath = join(base, \"index.sqlite\");\n77\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n78\t expect(summary.added).toBe(2);\n79\t\n80\t const found = findSessions(dbPath, \"deploy\", 5);\n81\t expect(found.results[0]?.sessionUuid).toBe(\"dddddddd-dddd-4ddd-8ddd-dddddddddddd\");\n82\t });\n83\t\n84\t test(\"find keeps distinct sessions even when titles collapse to the same normalized key\", async () => {\n85\t const base = mkdtempSync(join(tmpdir(), \"cxs-dedup-\"));\n86\t tempDirs.push(base);\n87\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"22\");\n88\t mkdirSync(sessionsRoot, { recursive: true });\n89\t\n90\t writeFileSync(\n91\t join(sessionsRoot, \"rollout-2026-04-22T08-00-00-12121212-1212-4212-8212-121212121212.jsonl\"),\n92\t [\n93\t line(\"session_meta\", { id: \"12121212-1212-4212-8212-121212121212\", cwd: \"/tmp/alpha\" }),\n94\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n95\t line(\"event_msg\", { type: \"user_message\", message: \"排查 deploy 500\" }),\n96\t line(\"event_msg\", { type: \"agent_message\", message: \"alpha 先看 first deploy rollback\" }),\n97\t ].join(\"\\n\"),\n98\t );\n99\t\n100\t writeFileSync(\n101\t join(sessionsRoot, \"rollout-2026-04-22T09-00-00-34343434-3434-4343-8343-343434343434.jsonl\"),\n102\t [\n103\t line(\"session_meta\", { id: \"34343434-3434-4343-8343-343434343434\", cwd: \"/tmp/beta\" }),\n104\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n105\t line(\"event_msg\", { type: \"user_message\", message: \"排查 deploy 500\" }),\n106\t line(\"event_msg\", { type: \"agent_message\", message: \"beta 再看 second deploy readback\" }),\n107\t ].join(\"\\n\"),\n108\t );\n109\t\n110\t const dbPath = join(base, \"index.sqlite\");\n111\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n112\t expect(summary.added).toBe(2);\n113\t\n114\t const found = findSessions(dbPath, \"deploy 500\", 5);\n115\t expect(found.results).toHaveLength(2);\n116\t expect(found.results.map((result) => result.sessionUuid).sort()).toEqual([\n117\t \"12121212-1212-4212-8212-121212121212\",\n118\t \"34343434-3434-4343-8343-343434343434\",\n119\t ]);\n120\t });\n121\t});\n122\t"}]},"uuid":"cd8ad845-9251-48b7-9b49-8a61130cdc31","timestamp":"2026-04-29T14:33:08.431Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/query-session-ranking.test.ts","content":"import { describe, expect, test } from \"vitest\";\nimport { mkdtempSync, mkdirSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { openWriteDb, replaceSession } from \"./db\";\nimport { INDEX_VERSION } from \"./env\";\nimport { syncSessions } from \"./indexer\";\nimport { findSessions } from \"./query\";\nimport { line, tempDirs } from \"./query-test-helpers\";\n\ndescribe(\"cxs session ranking\", () => {\n test(\"session title hit outranks broad incidental mentions\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-rank-\"));\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-2026-04-21T09-00-00-aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa.jsonl\"),\n [\n line(\"session_meta\", { id: \"aaaaaaaa-aaaa-4aaa-8aaa-aaaaaaaaaaaa\", cwd: \"/tmp/mac-setup\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"同步新 Mac 配置\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先确认 Hammerspoon 进程在不在\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"Hammerspoon 路径已经对了\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"如果 Hammerspoon console 没报错就继续\" }),\n ].join(\"\\n\"),\n );\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-bbbbbbbb-bbbb-4bbb-8bbb-bbbbbbbbbbbb.jsonl\"),\n [\n line(\"session_meta\", { id: \"bbbbbbbb-bbbb-4bbb-8bbb-bbbbbbbbbbbb\", cwd: \"/Users/envvar/.hammerspoon\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"hammerspoon clipboard 搜索坏了\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先检查 clipboard history\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n expect(summary.added).toBe(2);\n\n const found = findSessions(dbPath, \"hammerspoon\", 5);\n expect(found.results[0]?.sessionUuid).toBe(\"bbbbbbbb-bbbb-4bbb-8bbb-bbbbbbbbbbbb\");\n });\n\n test(\"broad query prefers sustained session evidence over title-only incidental hit\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-broad-\"));\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-2026-04-21T09-00-00-cccccccc-cccc-4ccc-8ccc-cccccccccccc.jsonl\"),\n [\n line(\"session_meta\", { id: \"cccccccc-cccc-4ccc-8ccc-cccccccccccc\", cwd: \"/tmp/deploy-title\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"deploy checklist 先记一下\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"今天主要在调 hammerspoon 输入法切换\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先确认 WeChat 输入法默认值\" }),\n ].join(\"\\n\"),\n );\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-21T10-00-00-dddddddd-dddd-4ddd-8ddd-dddddddddddd.jsonl\"),\n [\n line(\"session_meta\", { id: \"dddddddd-dddd-4ddd-8ddd-dddddddddddd\", cwd: \"/tmp/deploy-incident\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"fly deploy 之后 health check 还是 500\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先确认 deploy 之后的 readback 和 health check\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"这个 deploy 回滚后恢复了\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n expect(summary.added).toBe(2);\n\n const found = findSessions(dbPath, \"deploy\", 5);\n expect(found.results[0]?.sessionUuid).toBe(\"dddddddd-dddd-4ddd-8ddd-dddddddddddd\");\n });\n\n test(\"find keeps distinct sessions even when titles collapse to the same normalized key\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-dedup-\"));\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-2026-04-22T08-00-00-12121212-1212-4212-8212-121212121212.jsonl\"),\n [\n line(\"session_meta\", { id: \"12121212-1212-4212-8212-121212121212\", cwd: \"/tmp/alpha\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"排查 deploy 500\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"alpha 先看 first deploy rollback\" }),\n ].join(\"\\n\"),\n );\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-22T09-00-00-34343434-3434-4343-8343-343434343434.jsonl\"),\n [\n line(\"session_meta\", { id: \"34343434-3434-4343-8343-343434343434\", cwd: \"/tmp/beta\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"排查 deploy 500\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"beta 再看 second deploy readback\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n expect(summary.added).toBe(2);\n\n const found = findSessions(dbPath, \"deploy 500\", 5);\n expect(found.results).toHaveLength(2);\n expect(found.results.map((result) => result.sessionUuid).sort()).toEqual([\n \"12121212-1212-4212-8212-121212121212\",\n \"34343434-3434-4343-8343-343434343434\",\n ]);\n });\n});\n","numLines":122,"startLine":1,"totalLines":122}},"sourceToolAssistantUUID":"3b61a081-9f7f-4929-9468-23de507c407e","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 108 108 + {"parentUuid":"cd8ad845-9251-48b7-9b49-8a61130cdc31","isSidechain":false,"attachment":{"type":"task_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"cbb3d076-baae-49c1-a380-3ab2082476ef","timestamp":"2026-04-29T14:33:08.498Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 109 109 + {"parentUuid":"cbb3d076-baae-49c1-a380-3ab2082476ef","isSidechain":false,"message":{"id":"msg_e9d5dd5f84ce4da39d1bf720","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"Now let me also check the session-level query tests and the display row tests.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"e08471bd-103b-42f8-8e72-6566b8fc1e38","timestamp":"2026-04-29T14:33:35.552Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 110 110 + 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{"parentUuid":"56b3ded6-a7d4-46ad-a491-dffd67fd1cb9","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_f2fde15446e34a708ac7fdff","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"37805465-147a-49c3-9b90-377ee4b3f2b9","timestamp":"2026-04-29T14:33:35.580Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 112 112 + {"parentUuid":"56b3ded6-a7d4-46ad-a491-dffd67fd1cb9","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_f2fde15446e34a708ac7fdff","type":"tool_result","content":"1\timport { describe, expect, test } from \"vitest\";\n2\timport { mkdtempSync, mkdirSync, writeFileSync } from \"node:fs\";\n3\timport { tmpdir } from \"node:os\";\n4\timport { join } from \"node:path\";\n5\timport { openWriteDb, replaceSession } from \"./db\";\n6\timport { INDEX_VERSION } from \"./env\";\n7\timport { syncSessions } from \"./indexer\";\n8\timport { findSessions } from \"./query\";\n9\timport { line, tempDirs } from \"./query-test-helpers\";\n10\t\n11\tdescribe(\"cxs session-level fields\", () => {\n12\t test(\"find can recall session title even when no message contains the query\", () => {\n13\t const base = mkdtempSync(join(tmpdir(), \"cxs-session-title-\"));\n14\t tempDirs.push(base);\n15\t const dbPath = join(base, \"index.sqlite\");\n16\t const db = openWriteDb(dbPath);\n17\t replaceSession(\n18\t db,\n19\t {\n20\t sessionUuid: \"abababab-abab-4aba-8aba-abababababab\",\n21\t filePath: join(base, \"rollout.jsonl\"),\n22\t title: \"设置 ChatGPT 订阅取消提醒\",\n23\t summaryText: \"user: billing reminder | assistant: schedule a local notification\",\n24\t compactText: \"\",\n25\t reasoningSummaryText: \"\",\n26\t cwd: \"/tmp/title-only\",\n27\t model: \"gpt-5.4\",\n28\t startedAt: \"2026-04-24T01:00:00.000Z\",\n29\t endedAt: \"2026-04-24T01:01:00.000Z\",\n30\t messages: [\n31\t {\n32\t role: \"user\",\n33\t contentText: \"billing reminder\",\n34\t timestamp: \"2026-04-24T01:00:00.000Z\",\n35\t seq: 0,\n36\t sourceKind: \"event_msg\",\n37\t },\n38\t {\n39\t role: \"assistant\",\n40\t contentText: \"schedule a local notification\",\n41\t timestamp: \"2026-04-24T01:01:00.000Z\",\n42\t seq: 1,\n43\t sourceKind: \"event_msg\",\n44\t },\n45\t ],\n46\t },\n47\t 1,\n48\t 1,\n49\t INDEX_VERSION,\n50\t \"\",\n51\t );\n52\t db.close();\n53\t\n54\t const found = findSessions(dbPath, \"订阅取消提醒\", 5);\n55\t\n56\t expect(found.results).toHaveLength(1);\n57\t expect(found.results[0]?.sessionUuid).toBe(\"abababab-abab-4aba-8aba-abababababab\");\n58\t expect(found.results[0]?.matchSource).toBe(\"session\");\n59\t expect(found.results[0]?.matchSeq).toBeNull();\n60\t expect(found.results[0]?.snippet).toContain(\"订阅取消提醒\");\n61\t });\n62\t\n63\t test(\"session-level fields have explicit ranking weights\", () => {\n64\t const base = mkdtempSync(join(tmpdir(), \"cxs-session-field-weights-\"));\n65\t tempDirs.push(base);\n66\t const dbPath = join(base, \"index.sqlite\");\n67\t const db = openWriteDb(dbPath);\n68\t const common = {\n69\t filePath: join(base, \"rollout.jsonl\"),\n70\t title: \"neutral session\",\n71\t summaryText: \"\",\n72\t compactText: \"\",\n73\t reasoningSummaryText: \"\",\n74\t cwd: \"/tmp/field-weights\",\n75\t model: \"gpt-5.4\",\n76\t startedAt: \"2026-04-24T01:00:00.000Z\",\n77\t endedAt: \"2026-04-24T01:00:00.000Z\",\n78\t messages: [\n79\t {\n80\t role: \"user\" as const,\n81\t contentText: \"ordinary visible message\",\n82\t timestamp: \"2026-04-24T01:00:00.000Z\",\n83\t seq: 0,\n84\t sourceKind: \"event_msg\" as const,\n85\t },\n86\t ],\n87\t };\n88\t\n89\t replaceSession(db, {\n90\t ...common,\n91\t sessionUuid: \"10101010-1010-4010-8010-101010101010\",\n92\t filePath: join(base, \"title.jsonl\"),\n93\t title: \"handoffneedle title\",\n94\t }, 1, 1, INDEX_VERSION, \"\");\n95\t replaceSession(db, {\n96\t ...common,\n97\t sessionUuid: \"20202020-2020-4020-8020-202020202020\",\n98\t filePath: join(base, \"compact.jsonl\"),\n99\t compactText: \"handoffneedle compact handoff\",\n100\t }, 1, 1, INDEX_VERSION, \"\");\n101\t replaceSession(db, {\n102\t ...common,\n103\t sessionUuid: \"30303030-3030-4030-8030-303030303030\",\n104\t filePath: join(base, \"summary.jsonl\"),\n105\t summaryText: \"handoffneedle derived summary\",\n106\t }, 1, 1, INDEX_VERSION, \"\");\n107\t replaceSession(db, {\n108\t ...common,\n109\t sessionUuid: \"40404040-4040-4040-8040-404040404040\",\n110\t filePath: join(base, \"reasoning.jsonl\"),\n111\t reasoningSummaryText: \"handoffneedle reasoning summary\",\n112\t }, 1, 1, INDEX_VERSION, \"\");\n113\t db.close();\n114\t\n115\t const found = findSessions(dbPath, \"handoffneedle\", 10);\n116\t\n117\t expect(found.results.map((result) => result.sessionUuid)).toEqual([\n118\t \"10101010-1010-4010-8010-101010101010\",\n119\t \"20202020-2020-4020-8020-202020202020\",\n120\t \"30303030-3030-4030-8030-303030303030\",\n121\t \"40404040-4040-4040-8040-404040404040\",\n122\t ]);\n123\t });\n124\t\n125\t test(\"sync indexes compacted handoff text for session-level recall\", async () => {\n126\t const base = mkdtempSync(join(tmpdir(), \"cxs-compact-recall-\"));\n127\t tempDirs.push(base);\n128\t const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"24\");\n129\t mkdirSync(sessionsRoot, { recursive: true });\n130\t\n131\t writeFileSync(\n132\t join(sessionsRoot, \"rollout-2026-04-24T09-00-00-90909090-9090-4090-8090-909090909090.jsonl\"),\n133\t [\n134\t line(\"session_meta\", { id: \"90909090-9090-4090-8090-909090909090\", cwd: \"/tmp/compact-recall\" }),\n135\t line(\"turn_context\", { model: \"gpt-5.4\" }),\n136\t line(\"event_msg\", { type: \"user_message\", message: \"继续前一个任务\" }),\n137\t line(\"compacted\", { message: \"handoff says durable output queue needs final verification\" }),\n138\t line(\"event_msg\", { type: \"context_compacted\" }),\n139\t line(\"event_msg\", { type: \"agent_message\", message: \"先读取测试文件\" }),\n140\t ].join(\"\\n\"),\n141\t );\n142\t\n143\t const dbPath = join(base, \"index.sqlite\");\n144\t const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n145\t expect(summary.added).toBe(1);\n146\t\n147\t const found = findSessions(dbPath, \"durable output queue\", 5);\n148\t\n149\t expect(found.results).toHaveLength(1);\n150\t expect(found.results[0]?.sessionUuid).toBe(\"90909090-9090-4090-8090-909090909090\");\n151\t expect(found.results[0]?.matchSource).toBe(\"session\");\n152\t expect(found.results[0]?.snippet).toContain(\"durable output queue\");\n153\t });\n154\t\n155\t test(\"session-level snippet prefers the window with denser query term coverage\", () => {\n156\t const base = mkdtempSync(join(tmpdir(), \"cxs-session-snippet-\"));\n157\t tempDirs.push(base);\n158\t const dbPath = join(base, \"index.sqlite\");\n159\t const db = openWriteDb(dbPath);\n160\t replaceSession(\n161\t db,\n162\t {\n163\t sessionUuid: \"50505050-5050-4050-8050-505050505050\",\n164\t filePath: join(base, \"snippet.jsonl\"),\n165\t title: \"neutral deploy title\",\n166\t summaryText: \"\",\n167\t compactText: [\n168\t \"部署 happened early in the handoff.\",\n169\t \"Later the important evidence says the health check failed after rollout.\",\n170\t ].join(\" \"),\n171\t reasoningSummaryText: \"\",\n172\t cwd: \"/tmp/snippet\",\n173\t model: \"gpt-5.4\",\n174\t startedAt: \"2026-04-24T01:00:00.000Z\",\n175\t endedAt: \"2026-04-24T01:00:00.000Z\",\n176\t messages: [\n177\t {\n178\t role: \"user\",\n179\t contentText: \"ordinary visible message\",\n180\t timestamp: \"2026-04-24T01:00:00.000Z\",\n181\t seq: 0,\n182\t sourceKind: \"event_msg\",\n183\t },\n184\t ],\n185\t },\n186\t 1,\n187\t 1,\n188\t INDEX_VERSION,\n189\t \"\",\n190\t );\n191\t db.close();\n192\t\n193\t const found = findSessions(dbPath, \"部署 health check\", 5);\n194\t\n195\t expect(found.results[0]?.snippet).toContain(\"health\");\n196\t expect(found.results[0]?.snippet).toContain(\"check\");\n197\t });\n198\t});\n199\t"}]},"uuid":"6ba0910c-5d14-48dc-81b5-fd2d048bfbfe","timestamp":"2026-04-29T14:33:35.582Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/query-session-fields.test.ts","content":"import { describe, expect, test } from \"vitest\";\nimport { mkdtempSync, mkdirSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { openWriteDb, replaceSession } from \"./db\";\nimport { INDEX_VERSION } from \"./env\";\nimport { syncSessions } from \"./indexer\";\nimport { findSessions } from \"./query\";\nimport { line, tempDirs } from \"./query-test-helpers\";\n\ndescribe(\"cxs session-level fields\", () => {\n test(\"find can recall session title even when no message contains the query\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-session-title-\"));\n tempDirs.push(base);\n const dbPath = join(base, \"index.sqlite\");\n const db = openWriteDb(dbPath);\n replaceSession(\n db,\n {\n sessionUuid: \"abababab-abab-4aba-8aba-abababababab\",\n filePath: join(base, \"rollout.jsonl\"),\n title: \"设置 ChatGPT 订阅取消提醒\",\n summaryText: \"user: billing reminder | assistant: schedule a local notification\",\n compactText: \"\",\n reasoningSummaryText: \"\",\n cwd: \"/tmp/title-only\",\n model: \"gpt-5.4\",\n startedAt: \"2026-04-24T01:00:00.000Z\",\n endedAt: \"2026-04-24T01:01:00.000Z\",\n messages: [\n {\n role: \"user\",\n contentText: \"billing reminder\",\n timestamp: \"2026-04-24T01:00:00.000Z\",\n seq: 0,\n sourceKind: \"event_msg\",\n },\n {\n role: \"assistant\",\n contentText: \"schedule a local notification\",\n timestamp: \"2026-04-24T01:01:00.000Z\",\n seq: 1,\n sourceKind: \"event_msg\",\n },\n ],\n },\n 1,\n 1,\n INDEX_VERSION,\n \"\",\n );\n db.close();\n\n const found = findSessions(dbPath, \"订阅取消提醒\", 5);\n\n expect(found.results).toHaveLength(1);\n expect(found.results[0]?.sessionUuid).toBe(\"abababab-abab-4aba-8aba-abababababab\");\n expect(found.results[0]?.matchSource).toBe(\"session\");\n expect(found.results[0]?.matchSeq).toBeNull();\n expect(found.results[0]?.snippet).toContain(\"订阅取消提醒\");\n });\n\n test(\"session-level fields have explicit ranking weights\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-session-field-weights-\"));\n tempDirs.push(base);\n const dbPath = join(base, \"index.sqlite\");\n const db = openWriteDb(dbPath);\n const common = {\n filePath: join(base, \"rollout.jsonl\"),\n title: \"neutral session\",\n summaryText: \"\",\n compactText: \"\",\n reasoningSummaryText: \"\",\n cwd: \"/tmp/field-weights\",\n model: \"gpt-5.4\",\n startedAt: \"2026-04-24T01:00:00.000Z\",\n endedAt: \"2026-04-24T01:00:00.000Z\",\n messages: [\n {\n role: \"user\" as const,\n contentText: \"ordinary visible message\",\n timestamp: \"2026-04-24T01:00:00.000Z\",\n seq: 0,\n sourceKind: \"event_msg\" as const,\n },\n ],\n };\n\n replaceSession(db, {\n ...common,\n sessionUuid: \"10101010-1010-4010-8010-101010101010\",\n filePath: join(base, \"title.jsonl\"),\n title: \"handoffneedle title\",\n }, 1, 1, INDEX_VERSION, \"\");\n replaceSession(db, {\n ...common,\n sessionUuid: \"20202020-2020-4020-8020-202020202020\",\n filePath: join(base, \"compact.jsonl\"),\n compactText: \"handoffneedle compact handoff\",\n }, 1, 1, INDEX_VERSION, \"\");\n replaceSession(db, {\n ...common,\n sessionUuid: \"30303030-3030-4030-8030-303030303030\",\n filePath: join(base, \"summary.jsonl\"),\n summaryText: \"handoffneedle derived summary\",\n }, 1, 1, INDEX_VERSION, \"\");\n replaceSession(db, {\n ...common,\n sessionUuid: \"40404040-4040-4040-8040-404040404040\",\n filePath: join(base, \"reasoning.jsonl\"),\n reasoningSummaryText: \"handoffneedle reasoning summary\",\n }, 1, 1, INDEX_VERSION, \"\");\n db.close();\n\n const found = findSessions(dbPath, \"handoffneedle\", 10);\n\n expect(found.results.map((result) => result.sessionUuid)).toEqual([\n \"10101010-1010-4010-8010-101010101010\",\n \"20202020-2020-4020-8020-202020202020\",\n \"30303030-3030-4030-8030-303030303030\",\n \"40404040-4040-4040-8040-404040404040\",\n ]);\n });\n\n test(\"sync indexes compacted handoff text for session-level recall\", async () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-compact-recall-\"));\n tempDirs.push(base);\n const sessionsRoot = join(base, \"sessions\", \"2026\", \"04\", \"24\");\n mkdirSync(sessionsRoot, { recursive: true });\n\n writeFileSync(\n join(sessionsRoot, \"rollout-2026-04-24T09-00-00-90909090-9090-4090-8090-909090909090.jsonl\"),\n [\n line(\"session_meta\", { id: \"90909090-9090-4090-8090-909090909090\", cwd: \"/tmp/compact-recall\" }),\n line(\"turn_context\", { model: \"gpt-5.4\" }),\n line(\"event_msg\", { type: \"user_message\", message: \"继续前一个任务\" }),\n line(\"compacted\", { message: \"handoff says durable output queue needs final verification\" }),\n line(\"event_msg\", { type: \"context_compacted\" }),\n line(\"event_msg\", { type: \"agent_message\", message: \"先读取测试文件\" }),\n ].join(\"\\n\"),\n );\n\n const dbPath = join(base, \"index.sqlite\");\n const summary = await syncSessions({ dbPath, rootDir: join(base, \"sessions\") });\n expect(summary.added).toBe(1);\n\n const found = findSessions(dbPath, \"durable output queue\", 5);\n\n expect(found.results).toHaveLength(1);\n expect(found.results[0]?.sessionUuid).toBe(\"90909090-9090-4090-8090-909090909090\");\n expect(found.results[0]?.matchSource).toBe(\"session\");\n expect(found.results[0]?.snippet).toContain(\"durable output queue\");\n });\n\n test(\"session-level snippet prefers the window with denser query term coverage\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-session-snippet-\"));\n tempDirs.push(base);\n const dbPath = join(base, \"index.sqlite\");\n const db = openWriteDb(dbPath);\n replaceSession(\n db,\n {\n sessionUuid: \"50505050-5050-4050-8050-505050505050\",\n filePath: join(base, \"snippet.jsonl\"),\n title: \"neutral deploy title\",\n summaryText: \"\",\n compactText: [\n \"部署 happened early in the handoff.\",\n \"Later the important evidence says the health check failed after rollout.\",\n ].join(\" \"),\n reasoningSummaryText: \"\",\n cwd: \"/tmp/snippet\",\n model: \"gpt-5.4\",\n startedAt: \"2026-04-24T01:00:00.000Z\",\n endedAt: \"2026-04-24T01:00:00.000Z\",\n messages: [\n {\n role: \"user\",\n contentText: \"ordinary visible message\",\n timestamp: \"2026-04-24T01:00:00.000Z\",\n seq: 0,\n sourceKind: \"event_msg\",\n },\n ],\n },\n 1,\n 1,\n INDEX_VERSION,\n \"\",\n );\n db.close();\n\n const found = findSessions(dbPath, \"部署 health check\", 5);\n\n expect(found.results[0]?.snippet).toContain(\"health\");\n expect(found.results[0]?.snippet).toContain(\"check\");\n });\n});\n","numLines":199,"startLine":1,"totalLines":199}},"sourceToolAssistantUUID":"56b3ded6-a7d4-46ad-a491-dffd67fd1cb9","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 113 113 + 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{"parentUuid":"20b2e524-44c0-4066-ba30-7634f19a7189","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_2800711113ba446b9e6bc267","type":"tool_result","content":"1\timport { describe, expect, test } from \"vitest\";\n2\timport { mkdtempSync, mkdirSync, writeFileSync } from \"node:fs\";\n3\timport { tmpdir } from \"node:os\";\n4\timport { join } from \"node:path\";\n5\timport { openWriteDb, replaceSession } from \"./db\";\n6\timport { INDEX_VERSION } from \"./env\";\n7\timport { syncSessions } from \"./indexer\";\n8\timport { findSessions } from \"./query\";\n9\timport { line, tempDirs } from \"./query-test-helpers\";\n10\t\n11\tdescribe(\"cxs display row selection\", () => {\n12\t test(\"mixed session/message hit prefers message displayRow but keeps session ranking signal\", () => {\n13\t const base = mkdtempSync(join(tmpdir(), \"cxs-mixed-match-\"));\n14\t tempDirs.push(base);\n15\t const dbPath = join(base, \"index.sqlite\");\n16\t const db = openWriteDb(dbPath);\n17\t\n18\t // Mixed session: title carries the query (strong session hit) AND one\n19\t // message body also carries it (weaker message hit). The display row\n20\t // must come from the message hit so read-range can re-anchor on a real\n21\t // seq, but the session-level signal still has to outrank a peer that\n22\t // only has the message hit.\n23\t replaceSession(db, {\n24\t sessionUuid: \"60606060-6060-4606-8606-606060606060\",\n25\t filePath: join(base, \"mixed.jsonl\"),\n26\t title: \"payloadbeacon retry handoff\",\n27\t summaryText: \"\",\n28\t compactText: \"\",\n29\t reasoningSummaryText: \"\",\n30\t cwd: \"/tmp/mixed\",\n31\t model: \"gpt-5.4\",\n32\t startedAt: \"2026-04-24T01:00:00.000Z\",\n33\t endedAt: \"2026-04-24T01:00:00.000Z\",\n34\t messages: [\n35\t {\n36\t role: \"user\",\n37\t contentText: \"noticed payloadbeacon stalled in production\",\n38\t timestamp: \"2026-04-24T01:00:00.000Z\",\n39\t seq: 0,\n40\t sourceKind: \"event_msg\",\n41\t },\n42\t {\n43\t role: \"assistant\",\n44\t contentText: \"checking retry queue depth and surface\",\n45\t timestamp: \"2026-04-24T01:00:30.000Z\",\n46\t seq: 1,\n47\t sourceKind: \"event_msg\",\n48\t },\n49\t ],\n50\t }, 1, 1, INDEX_VERSION, \"\");\n51\t\n52\t // Message-only control: query appears only in a message body, neither\n53\t // title nor any session-level field carries it.\n54\t replaceSession(db, {\n55\t sessionUuid: \"70707070-7070-4707-8707-707070707070\",\n56\t filePath: join(base, \"message-only.jsonl\"),\n57\t title: \"neutral retry surface review\",\n58\t summaryText: \"\",\n59\t compactText: \"\",\n60\t reasoningSummaryText: \"\",\n61\t cwd: \"/tmp/message-only\",\n62\t model: \"gpt-5.4\",\n63\t startedAt: \"2026-04-24T01:00:00.000Z\",\n64\t endedAt: \"2026-04-24T01:00:00.000Z\",\n65\t messages: [\n66\t {\n67\t role: \"user\",\n68\t contentText: \"saw payloadbeacon mentioned once in passing\",\n69\t timestamp: \"2026-04-24T01:00:00.000Z\",\n70\t seq: 0,\n71\t sourceKind: \"event_msg\",\n72\t },\n73\t ],\n74\t }, 1, 1, INDEX_VERSION, \"\");\n75\t\n76\t db.close();\n77\t\n78\t const found = findSessions(dbPath, \"payloadbeacon\", 5);\n79\t\n80\t const mixed = found.results.find(\n81\t (result) => result.sessionUuid === \"60606060-6060-4606-8606-606060606060\",\n82\t );\n83\t const messageOnly = found.results.find(\n84\t (result) => result.sessionUuid === \"70707070-7070-4707-8707-707070707070\",\n85\t );\n86\t\n87\t expect(mixed).toBeDefined();\n88\t expect(messageOnly).toBeDefined();\n89\t\n90\t // Display row must come from the message hit so read-range can anchor\n91\t // on a real seq.\n92\t expect(mixed?.matchSource).toBe(\"message\");\n93\t expect(typeof mixed?.matchSeq).toBe(\"number\");\n94\t\n95\t // Session-level signal still wins overall ranking and score.\n96\t expect(found.results[0]?.sessionUuid).toBe(\"60606060-6060-4606-8606-606060606060\");\n97\t expect(mixed!.score).toBeGreaterThan(messageOnly!.score);\n98\t });\n99\t\n100\t test(\"session-only hit reports matchSource session and null matchSeq\", () => {\n101\t const base = mkdtempSync(join(tmpdir(), \"cxs-session-only-match-\"));\n102\t tempDirs.push(base);\n103\t const dbPath = join(base, \"index.sqlite\");\n104\t const db = openWriteDb(dbPath);\n105\t\n106\t replaceSession(db, {\n107\t sessionUuid: \"80808080-8080-4808-8808-808080808080\",\n108\t filePath: join(base, \"session-only.jsonl\"),\n109\t title: \"payloadbeacon postmortem outline\",\n110\t summaryText: \"\",\n111\t compactText: \"\",\n112\t reasoningSummaryText: \"\",\n113\t cwd: \"/tmp/session-only\",\n114\t model: \"gpt-5.4\",\n115\t startedAt: \"2026-04-24T01:00:00.000Z\",\n116\t endedAt: \"2026-04-24T01:00:00.000Z\",\n117\t messages: [\n118\t {\n119\t role: \"user\",\n120\t contentText: \"everything looked fine on the surface\",\n121\t timestamp: \"2026-04-24T01:00:00.000Z\",\n122\t seq: 0,\n123\t sourceKind: \"event_msg\",\n124\t },\n125\t {\n126\t role: \"assistant\",\n127\t contentText: \"agreed, no anomalies in the queue depth\",\n128\t timestamp: \"2026-04-24T01:00:30.000Z\",\n129\t seq: 1,\n130\t sourceKind: \"event_msg\",\n131\t },\n132\t ],\n133\t }, 1, 1, INDEX_VERSION, \"\");\n134\t\n135\t db.close();\n136\t\n137\t const found = findSessions(dbPath, \"payloadbeacon\", 5);\n138\t\n139\t expect(found.results).toHaveLength(1);\n140\t expect(found.results[0]?.sessionUuid).toBe(\"80808080-8080-4808-8808-808080808080\");\n141\t expect(found.results[0]?.matchSource).toBe(\"session\");\n142\t expect(found.results[0]?.matchSeq).toBeNull();\n143\t });\n144\t\n145\t test(\"message-only hit reports matchSource message with a numeric matchSeq\", () => {\n146\t const base = mkdtempSync(join(tmpdir(), \"cxs-message-only-match-\"));\n147\t tempDirs.push(base);\n148\t const dbPath = join(base, \"index.sqlite\");\n149\t const db = openWriteDb(dbPath);\n150\t\n151\t replaceSession(db, {\n152\t sessionUuid: \"90909090-9090-4909-8909-909090909090\",\n153\t filePath: join(base, \"message-only-baseline.jsonl\"),\n154\t title: \"neutral retry surface review\",\n155\t summaryText: \"\",\n156\t compactText: \"\",\n157\t reasoningSummaryText: \"\",\n158\t cwd: \"/tmp/message-only-baseline\",\n159\t model: \"gpt-5.4\",\n160\t startedAt: \"2026-04-24T01:00:00.000Z\",\n161\t endedAt: \"2026-04-24T01:00:00.000Z\",\n162\t messages: [\n163\t {\n164\t role: \"assistant\",\n165\t contentText: \"kicked off neutral diagnostics\",\n166\t timestamp: \"2026-04-24T01:00:00.000Z\",\n167\t seq: 0,\n168\t sourceKind: \"event_msg\",\n169\t },\n170\t {\n171\t role: \"user\",\n172\t contentText: \"found payloadbeacon in the trace\",\n173\t timestamp: \"2026-04-24T01:00:30.000Z\",\n174\t seq: 1,\n175\t sourceKind: \"event_msg\",\n176\t },\n177\t ],\n178\t }, 1, 1, INDEX_VERSION, \"\");\n179\t\n180\t db.close();\n181\t\n182\t const found = findSessions(dbPath, \"payloadbeacon\", 5);\n183\t\n184\t expect(found.results).toHaveLength(1);\n185\t expect(found.results[0]?.matchSource).toBe(\"message\");\n186\t expect(found.results[0]?.matchSeq).toBe(1);\n187\t });\n188\t});\n189\t"}]},"uuid":"02b3dde4-3537-4703-b723-d7fc63f7684c","timestamp":"2026-04-29T14:33:36.000Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/query-display-row.test.ts","content":"import { describe, expect, test } from \"vitest\";\nimport { mkdtempSync, mkdirSync, writeFileSync } from \"node:fs\";\nimport { tmpdir } from \"node:os\";\nimport { join } from \"node:path\";\nimport { openWriteDb, replaceSession } from \"./db\";\nimport { INDEX_VERSION } from \"./env\";\nimport { syncSessions } from \"./indexer\";\nimport { findSessions } from \"./query\";\nimport { line, tempDirs } from \"./query-test-helpers\";\n\ndescribe(\"cxs display row selection\", () => {\n test(\"mixed session/message hit prefers message displayRow but keeps session ranking signal\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-mixed-match-\"));\n tempDirs.push(base);\n const dbPath = join(base, \"index.sqlite\");\n const db = openWriteDb(dbPath);\n\n // Mixed session: title carries the query (strong session hit) AND one\n // message body also carries it (weaker message hit). The display row\n // must come from the message hit so read-range can re-anchor on a real\n // seq, but the session-level signal still has to outrank a peer that\n // only has the message hit.\n replaceSession(db, {\n sessionUuid: \"60606060-6060-4606-8606-606060606060\",\n filePath: join(base, \"mixed.jsonl\"),\n title: \"payloadbeacon retry handoff\",\n summaryText: \"\",\n compactText: \"\",\n reasoningSummaryText: \"\",\n cwd: \"/tmp/mixed\",\n model: \"gpt-5.4\",\n startedAt: \"2026-04-24T01:00:00.000Z\",\n endedAt: \"2026-04-24T01:00:00.000Z\",\n messages: [\n {\n role: \"user\",\n contentText: \"noticed payloadbeacon stalled in production\",\n timestamp: \"2026-04-24T01:00:00.000Z\",\n seq: 0,\n sourceKind: \"event_msg\",\n },\n {\n role: \"assistant\",\n contentText: \"checking retry queue depth and surface\",\n timestamp: \"2026-04-24T01:00:30.000Z\",\n seq: 1,\n sourceKind: \"event_msg\",\n },\n ],\n }, 1, 1, INDEX_VERSION, \"\");\n\n // Message-only control: query appears only in a message body, neither\n // title nor any session-level field carries it.\n replaceSession(db, {\n sessionUuid: \"70707070-7070-4707-8707-707070707070\",\n filePath: join(base, \"message-only.jsonl\"),\n title: \"neutral retry surface review\",\n summaryText: \"\",\n compactText: \"\",\n reasoningSummaryText: \"\",\n cwd: \"/tmp/message-only\",\n model: \"gpt-5.4\",\n startedAt: \"2026-04-24T01:00:00.000Z\",\n endedAt: \"2026-04-24T01:00:00.000Z\",\n messages: [\n {\n role: \"user\",\n contentText: \"saw payloadbeacon mentioned once in passing\",\n timestamp: \"2026-04-24T01:00:00.000Z\",\n seq: 0,\n sourceKind: \"event_msg\",\n },\n ],\n }, 1, 1, INDEX_VERSION, \"\");\n\n db.close();\n\n const found = findSessions(dbPath, \"payloadbeacon\", 5);\n\n const mixed = found.results.find(\n (result) => result.sessionUuid === \"60606060-6060-4606-8606-606060606060\",\n );\n const messageOnly = found.results.find(\n (result) => result.sessionUuid === \"70707070-7070-4707-8707-707070707070\",\n );\n\n expect(mixed).toBeDefined();\n expect(messageOnly).toBeDefined();\n\n // Display row must come from the message hit so read-range can anchor\n // on a real seq.\n expect(mixed?.matchSource).toBe(\"message\");\n expect(typeof mixed?.matchSeq).toBe(\"number\");\n\n // Session-level signal still wins overall ranking and score.\n expect(found.results[0]?.sessionUuid).toBe(\"60606060-6060-4606-8606-606060606060\");\n expect(mixed!.score).toBeGreaterThan(messageOnly!.score);\n });\n\n test(\"session-only hit reports matchSource session and null matchSeq\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-session-only-match-\"));\n tempDirs.push(base);\n const dbPath = join(base, \"index.sqlite\");\n const db = openWriteDb(dbPath);\n\n replaceSession(db, {\n sessionUuid: \"80808080-8080-4808-8808-808080808080\",\n filePath: join(base, \"session-only.jsonl\"),\n title: \"payloadbeacon postmortem outline\",\n summaryText: \"\",\n compactText: \"\",\n reasoningSummaryText: \"\",\n cwd: \"/tmp/session-only\",\n model: \"gpt-5.4\",\n startedAt: \"2026-04-24T01:00:00.000Z\",\n endedAt: \"2026-04-24T01:00:00.000Z\",\n messages: [\n {\n role: \"user\",\n contentText: \"everything looked fine on the surface\",\n timestamp: \"2026-04-24T01:00:00.000Z\",\n seq: 0,\n sourceKind: \"event_msg\",\n },\n {\n role: \"assistant\",\n contentText: \"agreed, no anomalies in the queue depth\",\n timestamp: \"2026-04-24T01:00:30.000Z\",\n seq: 1,\n sourceKind: \"event_msg\",\n },\n ],\n }, 1, 1, INDEX_VERSION, \"\");\n\n db.close();\n\n const found = findSessions(dbPath, \"payloadbeacon\", 5);\n\n expect(found.results).toHaveLength(1);\n expect(found.results[0]?.sessionUuid).toBe(\"80808080-8080-4808-8808-808080808080\");\n expect(found.results[0]?.matchSource).toBe(\"session\");\n expect(found.results[0]?.matchSeq).toBeNull();\n });\n\n test(\"message-only hit reports matchSource message with a numeric matchSeq\", () => {\n const base = mkdtempSync(join(tmpdir(), \"cxs-message-only-match-\"));\n tempDirs.push(base);\n const dbPath = join(base, \"index.sqlite\");\n const db = openWriteDb(dbPath);\n\n replaceSession(db, {\n sessionUuid: \"90909090-9090-4909-8909-909090909090\",\n filePath: join(base, \"message-only-baseline.jsonl\"),\n title: \"neutral retry surface review\",\n summaryText: \"\",\n compactText: \"\",\n reasoningSummaryText: \"\",\n cwd: \"/tmp/message-only-baseline\",\n model: \"gpt-5.4\",\n startedAt: \"2026-04-24T01:00:00.000Z\",\n endedAt: \"2026-04-24T01:00:00.000Z\",\n messages: [\n {\n role: \"assistant\",\n contentText: \"kicked off neutral diagnostics\",\n timestamp: \"2026-04-24T01:00:00.000Z\",\n seq: 0,\n sourceKind: \"event_msg\",\n },\n {\n role: \"user\",\n contentText: \"found payloadbeacon in the trace\",\n timestamp: \"2026-04-24T01:00:30.000Z\",\n seq: 1,\n sourceKind: \"event_msg\",\n },\n ],\n }, 1, 1, INDEX_VERSION, \"\");\n\n db.close();\n\n const found = findSessions(dbPath, \"payloadbeacon\", 5);\n\n expect(found.results).toHaveLength(1);\n expect(found.results[0]?.matchSource).toBe(\"message\");\n expect(found.results[0]?.matchSeq).toBe(1);\n });\n});\n","numLines":189,"startLine":1,"totalLines":189}},"sourceToolAssistantUUID":"20b2e524-44c0-4066-ba30-7634f19a7189","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 118 118 + {"parentUuid":"02b3dde4-3537-4703-b723-d7fc63f7684c","isSidechain":false,"message":{"id":"msg_d4388e809e524c52837266af","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"Now I have a thorough understanding of the query and ranking logic. Let me compile my review findings.\n\nKey areas to review:\n\n1. **FTS5 Configuration**\n - `messages_fts`: uses `unicode61 remove_diacritics 1` tokenizer\n - `sessions_fts`: same tokenizer, with 4 indexed columns (title, summary_text, compact_text, reasoning_summary_text)\n - BUT: the code uses custom `tokenize()` for indexing/query, which produces bigrams for CJK and Intl.Segmenter for non-CJK\n - Wait, looking more carefully at the schema, the FTS tables use `tokenize='unicode61 remove_diacritics 1'` - the standard FTS5 tokenizer, NOT the custom bigram tokenizer\n \n This is a critical mismatch: `tokenize.ts` generates bigrams for CJK text, but the FTS tables are configured with the standard unicode61 tokenizer instead. The `tokenizedText()` function isn't actually being used during indexing—let me trace through the indexer to see what's really happening with the tokenization pipeline.\n\n Looking at the search code in `search.ts`, `queryTerms()` produces bigrams for CJK queries, but these get passed to FTS5's MATCH operator which applies its own unicode61 tokenizer internally. So there's a fundamental disconnect: the query-side bigrams and the index-side unicode61 tokenization aren't aligned, which would break CJK search entirely unless I'm missing something about how the indexer actually stores the data.\n\n Let me trace through the indexing path to see if `tokenizedText()` is being called there, because if the indexer also uses unicode61, then the bigram approach on the query side shouldn't work at all—yet the tests are passing, so something doesn't add up.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"0bbaaa67-5a60-49cd-95f5-76059a4e30a7","timestamp":"2026-04-29T14:33:51.049Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 119 119 + {"parentUuid":"0bbaaa67-5a60-49cd-95f5-76059a4e30a7","isSidechain":false,"message":{"id":"msg_d4388e809e524c52837266af","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"text","text":"需要确认 indexer 的实际索引路径。"}],"usage":{"input_tokens":5482,"cache_creation_input_tokens":0,"cache_read_input_tokens":63040,"output_tokens":423,"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":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_reason":"tool_use"},"type":"assistant","uuid":"a6fa1b60-d1fa-4393-ba46-fd7793368561","timestamp":"2026-04-29T14:33:51.522Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 120 120 + 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countSessionsForSelector,\n4\t deleteSessionsForSelectorExceptFilePaths,\n5\t deleteSessionByFilePath,\n6\t getIndexedSessionMeta,\n7\t openWriteDb,\n8\t replaceCoverage,\n9\t replaceSession,\n10\t} from \"./db\";\n11\timport { parseCodexSession } from \"./parser\";\n12\timport { canonicalizeSelector } from \"./selector\";\n13\timport { collectSourceSnapshot } from \"./source-inventory\";\n14\timport { withSyncLock } from \"./sync-lock\";\n15\timport type { CoverageWriteSummary, ParsedSession, Selector, SyncErrorDetail, SyncSummary } from \"./types\";\n16\t\n17\tinterface SyncOptions {\n18\t dbPath?: string;\n19\t rootDir?: string;\n20\t selector?: Selector;\n21\t bestEffort?: boolean;\n22\t}\n23\t\n24\ttype SyncOperation =\n25\t | {\n26\t kind: \"replace\";\n27\t filePath: string;\n28\t session: ParsedSession;\n29\t rawFileMtime: number;\n30\t rawFileSize: number;\n31\t pathDate: string;\n32\t isUpdate: boolean;\n33\t }\n34\t | {\n35\t kind: \"filtered\";\n36\t filePath: string;\n37\t };\n38\t\n39\texport class SyncError extends Error {\n40\t summary: SyncSummary;\n41\t\n42\t constructor(summary: SyncSummary) {\n43\t super(buildSyncErrorMessage(summary));\n44\t this.name = \"SyncError\";\n45\t this.summary = summary;\n46\t }\n47\t}\n48\t\n49\texport async function syncSessions(options: SyncOptions = {}): Promise<SyncSummary> {\n50\t ensureDataDir();\n51\t const dbPath = options.dbPath ?? DEFAULT_DB_PATH;\n52\t const selector = canonicalizeSelector(options.selector ?? { kind: \"all\", root: resolveCodexDir(options.rootDir) });\n53\t return withSyncLock(dbPath, async () => {\n54\t const db = openWriteDb(dbPath);\n55\t const sourceSnapshot = collectSourceSnapshot(selector);\n56\t const operations: SyncOperation[] = [];\n57\t const unchangedFilePaths = new Set<string>();\n58\t\n59\t const summary: SyncSummary = {\n60\t scanned: sourceSnapshot.fileCount,\n61\t added: 0,\n62\t updated: 0,\n63\t skipped: 0,\n64\t filtered: 0,\n65\t removed: 0,\n66\t errors: 0,\n67\t errorDetails: [],\n68\t selector,\n69\t coverage: skippedCoverage(selector, sourceSnapshot.fingerprint, sourceSnapshot.fileCount, \"not_written\"),\n70\t };\n71\t\n72\t try {\n73\t for (const file of sourceSnapshot.files) {\n74\t const filePath = file.filePath;\n75\t try {\n76\t const indexed = getIndexedSessionMeta(db, filePath);\n77\t if (isUnchanged(indexed, file.mtimeMs, file.size)) {\n78\t summary.skipped += 1;\n79\t unchangedFilePaths.add(filePath);\n80\t continue;\n81\t }\n82\t\n83\t const parsed = await parseCodexSession(filePath);\n84\t if (parsed.kind === \"filtered\") {\n85\t operations.push({ kind: \"filtered\", filePath });\n86\t continue;\n87\t }\n88\t if (parsed.kind === \"skipped\") {\n89\t summary.skipped += 1;\n90\t continue;\n91\t }\n92\t\n93\t operations.push({\n94\t kind: \"replace\",\n95\t filePath,\n96\t session: parsed.session,\n97\t rawFileMtime: file.mtimeMs,\n98\t rawFileSize: file.size,\n99\t pathDate: file.pathDate ?? \"\",\n100\t isUpdate: Boolean(indexed),\n101\t });\n102\t } catch (error) {\n103\t recordSyncError(summary, filePath, error);\n104\t }\n105\t }\n106\t\n107\t if (summary.errors > 0 && !options.bestEffort) {\n108\t throw new SyncError(summary);\n109\t }\n110\t\n111\t if (!options.bestEffort) {\n112\t const afterSnapshot = collectSourceSnapshot(selector);\n113\t if (afterSnapshot.fingerprint !== sourceSnapshot.fingerprint) {\n114\t recordSyncError(summary, \"(selector)\", new Error(\"source changed during strict sync\"));\n115\t throw new SyncError(summary);\n116\t }\n117\t }\n118\t\n119\t const bestEffort = Boolean(options.bestEffort);\n120\t const retainedFilePaths = retainedIndexedFilePaths(unchangedFilePaths, operations);\n121\t summary.coverage = applyOperations(\n122\t db,\n123\t operations,\n124\t summary,\n125\t bestEffort,\n126\t selector,\n127\t sourceSnapshot,\n128\t retainedFilePaths,\n129\t );\n130\t if (summary.errors > 0 && !options.bestEffort) {\n131\t throw new SyncError(summary);\n132\t }\n133\t\n134\t return summary;\n135\t } finally {\n136\t db.close();\n137\t }\n138\t });\n139\t}\n140\t\n141\tfunction isUnchanged(\n142\t indexed: { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null,\n143\t mtimeMs: number,\n144\t size: number,\n145\t): boolean {\n146\t if (!indexed) return false;\n147\t return indexed.rawFileMtime === mtimeMs\n148\t && indexed.rawFileSize === size\n149\t && indexed.indexVersion === INDEX_VERSION;\n150\t}\n151\t\n152\tfunction applyOperations(\n153\t db: ReturnType<typeof openWriteDb>,\n154\t operations: SyncOperation[],\n155\t summary: SyncSummary,\n156\t bestEffort: boolean,\n157\t selector: Selector,\n158\t sourceSnapshot: { fingerprint: string; fileCount: number },\n159\t retainedFilePaths: Set<string>,\n160\t): CoverageWriteSummary {\n161\t if (bestEffort) {\n162\t for (const operation of operations) {\n163\t try {\n164\t applyOperation(db, operation);\n165\t recordAppliedOperation(summary, operation);\n166\t } catch (error) {\n167\t recordSyncError(summary, operation.filePath, error);\n168\t }\n169\t }\n170\t return skippedCoverage(selector, sourceSnapshot.fingerprint, sourceSnapshot.fileCount, \"best_effort\");\n171\t }\n172\t\n173\t let currentFilePath = \"\";\n174\t let coverage: CoverageWriteSummary | null = null;\n175\t const tx = db.transaction(() => {\n176\t for (const operation of operations) {\n177\t currentFilePath = operation.filePath;\n178\t applyOperation(db, operation, selector.root);\n179\t }\n180\t summary.removed += deleteSessionsForSelectorExceptFilePaths(db, selector, retainedFilePaths);\n181\t const indexedSessionCount = countSessionsForSelector(db, selector);\n182\t const record = replaceCoverage(\n183\t db,\n184\t selector,\n185\t sourceSnapshot.fingerprint,\n186\t sourceSnapshot.fileCount,\n187\t indexedSessionCount,\n188\t INDEX_VERSION,\n189\t );\n190\t coverage = {\n191\t written: true,\n192\t selector: record.selector,\n193\t sourceFingerprint: record.sourceFingerprint,\n194\t sourceFileCount: record.sourceFileCount,\n195\t indexedSessionCount: record.indexedSessionCount,\n196\t };\n197\t });\n198\t\n199\t try {\n200\t tx();\n201\t } catch (error) {\n202\t recordSyncError(summary, currentFilePath || \"(unknown file)\", error);\n203\t throw new SyncError(summary);\n204\t }\n205\t\n206\t for (const operation of operations) {\n207\t recordAppliedOperation(summary, operation);\n208\t }\n209\t return coverage ?? skippedCoverage(selector, sourceSnapshot.fingerprint, sourceSnapshot.fileCount, \"not_written\");\n210\t}\n211\t\n212\tfunction applyOperation(db: ReturnType<typeof openWriteDb>, operation: SyncOperation, sourceRoot?: string): void {\n213\t if (operation.kind === \"filtered\") {\n214\t deleteSessionByFilePath(db, operation.filePath);\n215\t return;\n216\t }\n217\t\n218\t replaceSession(\n219\t db,\n220\t operation.session,\n221\t operation.rawFileMtime,\n222\t operation.rawFileSize,\n223\t INDEX_VERSION,\n224\t operation.pathDate,\n225\t sourceRoot,\n226\t );\n227\t}\n228\t\n229\tfunction retainedIndexedFilePaths(\n230\t unchangedFilePaths: Set<string>,\n231\t operations: SyncOperation[],\n232\t): Set<string> {\n233\t const retained = new Set(unchangedFilePaths);\n234\t for (const operation of operations) {\n235\t if (operation.kind === \"replace\") {\n236\t retained.add(operation.filePath);\n237\t }\n238\t }\n239\t return retained;\n240\t}\n241\t\n242\tfunction recordAppliedOperation(summary: SyncSummary, operation: SyncOperation): void {\n243\t if (operation.kind === \"filtered\") {\n244\t summary.filtered += 1;\n245\t return;\n246\t }\n247\t\n248\t if (operation.isUpdate) {\n249\t summary.updated += 1;\n250\t return;\n251\t }\n252\t\n253\t summary.added += 1;\n254\t}\n255\t\n256\tfunction recordSyncError(summary: SyncSummary, filePath: string, error: unknown): void {\n257\t summary.errors += 1;\n258\t summary.errorDetails.push({\n259\t filePath,\n260\t message: describeError(error),\n261\t });\n262\t}\n263\t\n264\tfunction describeError(error: unknown): string {\n265\t if (error instanceof Error) return error.message;\n266\t return String(error);\n267\t}\n268\t\n269\tfunction buildSyncErrorMessage(summary: SyncSummary): string {\n270\t const details = summary.errorDetails.map((detail: SyncErrorDetail) =>\n271\t `${detail.filePath}: ${detail.message}`\n272\t );\n273\t return `sync failed with ${summary.errors} error(s)\\n${details.join(\"\\n\")}`;\n274\t}\n275\t\n276\tfunction skippedCoverage(\n277\t selector: Selector,\n278\t sourceFingerprint: string,\n279\t sourceFileCount: number,\n280\t reason: string,\n281\t): CoverageWriteSummary {\n282\t return {\n283\t written: false,\n284\t selector,\n285\t sourceFingerprint,\n286\t sourceFileCount,\n287\t indexedSessionCount: 0,\n288\t reason,\n289\t };\n290\t}\n291\t"}]},"uuid":"1f73f29b-eb04-48db-aa09-5291925fe98c","timestamp":"2026-04-29T14:33:51.534Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/indexer.ts","content":"import { DEFAULT_DB_PATH, INDEX_VERSION, ensureDataDir, resolveCodexDir } from \"./env\";\nimport {\n countSessionsForSelector,\n deleteSessionsForSelectorExceptFilePaths,\n deleteSessionByFilePath,\n getIndexedSessionMeta,\n openWriteDb,\n replaceCoverage,\n replaceSession,\n} from \"./db\";\nimport { parseCodexSession } from \"./parser\";\nimport { canonicalizeSelector } from \"./selector\";\nimport { collectSourceSnapshot } from \"./source-inventory\";\nimport { withSyncLock } from \"./sync-lock\";\nimport type { CoverageWriteSummary, ParsedSession, Selector, SyncErrorDetail, SyncSummary } from \"./types\";\n\ninterface SyncOptions {\n dbPath?: string;\n rootDir?: string;\n selector?: Selector;\n bestEffort?: boolean;\n}\n\ntype SyncOperation =\n | {\n kind: \"replace\";\n filePath: string;\n session: ParsedSession;\n rawFileMtime: number;\n rawFileSize: number;\n pathDate: string;\n isUpdate: boolean;\n }\n | {\n kind: \"filtered\";\n filePath: string;\n };\n\nexport class SyncError extends Error {\n summary: SyncSummary;\n\n constructor(summary: SyncSummary) {\n super(buildSyncErrorMessage(summary));\n this.name = \"SyncError\";\n this.summary = summary;\n }\n}\n\nexport async function syncSessions(options: SyncOptions = {}): Promise<SyncSummary> {\n ensureDataDir();\n const dbPath = options.dbPath ?? DEFAULT_DB_PATH;\n const selector = canonicalizeSelector(options.selector ?? { kind: \"all\", root: resolveCodexDir(options.rootDir) });\n return withSyncLock(dbPath, async () => {\n const db = openWriteDb(dbPath);\n const sourceSnapshot = collectSourceSnapshot(selector);\n const operations: SyncOperation[] = [];\n const unchangedFilePaths = new Set<string>();\n\n const summary: SyncSummary = {\n scanned: sourceSnapshot.fileCount,\n added: 0,\n updated: 0,\n skipped: 0,\n filtered: 0,\n removed: 0,\n errors: 0,\n errorDetails: [],\n selector,\n coverage: skippedCoverage(selector, sourceSnapshot.fingerprint, sourceSnapshot.fileCount, \"not_written\"),\n };\n\n try {\n for (const file of sourceSnapshot.files) {\n const filePath = file.filePath;\n try {\n const indexed = getIndexedSessionMeta(db, filePath);\n if (isUnchanged(indexed, file.mtimeMs, file.size)) {\n summary.skipped += 1;\n unchangedFilePaths.add(filePath);\n continue;\n }\n\n const parsed = await parseCodexSession(filePath);\n if (parsed.kind === \"filtered\") {\n operations.push({ kind: \"filtered\", filePath });\n continue;\n }\n if (parsed.kind === \"skipped\") {\n summary.skipped += 1;\n continue;\n }\n\n operations.push({\n kind: \"replace\",\n filePath,\n session: parsed.session,\n rawFileMtime: file.mtimeMs,\n rawFileSize: file.size,\n pathDate: file.pathDate ?? \"\",\n isUpdate: Boolean(indexed),\n });\n } catch (error) {\n recordSyncError(summary, filePath, error);\n }\n }\n\n if (summary.errors > 0 && !options.bestEffort) {\n throw new SyncError(summary);\n }\n\n if (!options.bestEffort) {\n const afterSnapshot = collectSourceSnapshot(selector);\n if (afterSnapshot.fingerprint !== sourceSnapshot.fingerprint) {\n recordSyncError(summary, \"(selector)\", new Error(\"source changed during strict sync\"));\n throw new SyncError(summary);\n }\n }\n\n const bestEffort = Boolean(options.bestEffort);\n const retainedFilePaths = retainedIndexedFilePaths(unchangedFilePaths, operations);\n summary.coverage = applyOperations(\n db,\n operations,\n summary,\n bestEffort,\n selector,\n sourceSnapshot,\n retainedFilePaths,\n );\n if (summary.errors > 0 && !options.bestEffort) {\n throw new SyncError(summary);\n }\n\n return summary;\n } finally {\n db.close();\n }\n });\n}\n\nfunction isUnchanged(\n indexed: { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null,\n mtimeMs: number,\n size: number,\n): boolean {\n if (!indexed) return false;\n return indexed.rawFileMtime === mtimeMs\n && indexed.rawFileSize === size\n && indexed.indexVersion === INDEX_VERSION;\n}\n\nfunction applyOperations(\n db: ReturnType<typeof openWriteDb>,\n operations: SyncOperation[],\n summary: SyncSummary,\n bestEffort: boolean,\n selector: Selector,\n sourceSnapshot: { fingerprint: string; fileCount: number },\n retainedFilePaths: Set<string>,\n): CoverageWriteSummary {\n if (bestEffort) {\n for (const operation of operations) {\n try {\n applyOperation(db, operation);\n recordAppliedOperation(summary, operation);\n } catch (error) {\n recordSyncError(summary, operation.filePath, error);\n }\n }\n return skippedCoverage(selector, sourceSnapshot.fingerprint, sourceSnapshot.fileCount, \"best_effort\");\n }\n\n let currentFilePath = \"\";\n let coverage: CoverageWriteSummary | null = null;\n const tx = db.transaction(() => {\n for (const operation of operations) {\n currentFilePath = operation.filePath;\n applyOperation(db, operation, selector.root);\n }\n summary.removed += deleteSessionsForSelectorExceptFilePaths(db, selector, retainedFilePaths);\n const indexedSessionCount = countSessionsForSelector(db, selector);\n const record = replaceCoverage(\n db,\n selector,\n sourceSnapshot.fingerprint,\n sourceSnapshot.fileCount,\n indexedSessionCount,\n INDEX_VERSION,\n );\n coverage = {\n written: true,\n selector: record.selector,\n sourceFingerprint: record.sourceFingerprint,\n sourceFileCount: record.sourceFileCount,\n indexedSessionCount: record.indexedSessionCount,\n };\n });\n\n try {\n tx();\n } catch (error) {\n recordSyncError(summary, currentFilePath || \"(unknown file)\", error);\n throw new SyncError(summary);\n }\n\n for (const operation of operations) {\n recordAppliedOperation(summary, operation);\n }\n return coverage ?? skippedCoverage(selector, sourceSnapshot.fingerprint, sourceSnapshot.fileCount, \"not_written\");\n}\n\nfunction applyOperation(db: ReturnType<typeof openWriteDb>, operation: SyncOperation, sourceRoot?: string): void {\n if (operation.kind === \"filtered\") {\n deleteSessionByFilePath(db, operation.filePath);\n return;\n }\n\n replaceSession(\n db,\n operation.session,\n operation.rawFileMtime,\n operation.rawFileSize,\n INDEX_VERSION,\n operation.pathDate,\n sourceRoot,\n );\n}\n\nfunction retainedIndexedFilePaths(\n unchangedFilePaths: Set<string>,\n operations: SyncOperation[],\n): Set<string> {\n const retained = new Set(unchangedFilePaths);\n for (const operation of operations) {\n if (operation.kind === \"replace\") {\n retained.add(operation.filePath);\n }\n }\n return retained;\n}\n\nfunction recordAppliedOperation(summary: SyncSummary, operation: SyncOperation): void {\n if (operation.kind === \"filtered\") {\n summary.filtered += 1;\n return;\n }\n\n if (operation.isUpdate) {\n summary.updated += 1;\n return;\n }\n\n summary.added += 1;\n}\n\nfunction recordSyncError(summary: SyncSummary, filePath: string, error: unknown): void {\n summary.errors += 1;\n summary.errorDetails.push({\n filePath,\n message: describeError(error),\n });\n}\n\nfunction describeError(error: unknown): string {\n if (error instanceof Error) return error.message;\n return String(error);\n}\n\nfunction buildSyncErrorMessage(summary: SyncSummary): string {\n const details = summary.errorDetails.map((detail: SyncErrorDetail) =>\n `${detail.filePath}: ${detail.message}`\n );\n return `sync failed with ${summary.errors} error(s)\\n${details.join(\"\\n\")}`;\n}\n\nfunction skippedCoverage(\n selector: Selector,\n sourceFingerprint: string,\n sourceFileCount: number,\n reason: string,\n): CoverageWriteSummary {\n return {\n written: false,\n selector,\n sourceFingerprint,\n sourceFileCount,\n indexedSessionCount: 0,\n reason,\n };\n}\n","numLines":291,"startLine":1,"totalLines":291}},"sourceToolAssistantUUID":"4b48d4a7-0085-47bc-87ff-5a9370ea4521","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 123 123 + {"type":"last-prompt","lastPrompt":"B","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 124 124 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 125 125 + {"parentUuid":"1f73f29b-eb04-48db-aa09-5291925fe98c","isSidechain":false,"message":{"id":"msg_fb8635014ce940cda900651e","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"The indexer calls `replaceSession` which is in the db module. Let me check how sessions are actually written to the FTS tables.","signature":""}],"usage":{"input_tokens":3076,"cache_creation_input_tokens":0,"cache_read_input_tokens":68480,"output_tokens":62,"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":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_reason":"tool_use"},"type":"assistant","uuid":"6fcd55ad-5cb0-48db-a5d1-fa59566c1702","timestamp":"2026-04-29T14:34:02.809Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 126 126 + {"parentUuid":"6fcd55ad-5cb0-48db-a5d1-fa59566c1702","isSidechain":false,"message":{"id":"msg_fb8635014ce940cda900651e","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"tool_use","id":"call_ae7dad09bddb41ef8bc6ec35","name":"Read","input":{"file_path":"/Users/envvar/work/repos/cxs/src/db/session-store.ts"}}],"usage":{"input_tokens":3076,"cache_creation_input_tokens":0,"cache_read_input_tokens":68480,"output_tokens":62,"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":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_reason":"tool_use"},"type":"assistant","uuid":"fcd4cefb-ce28-49fc-8231-b03e5617fa35","timestamp":"2026-04-29T14:34:02.809Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 127 127 + {"parentUuid":"fcd4cefb-ce28-49fc-8231-b03e5617fa35","isSidechain":false,"attachment":{"type":"hook_success","hookName":"PreToolUse:Read","toolUseID":"call_ae7dad09bddb41ef8bc6ec35","hookEvent":"PreToolUse","content":"","stdout":"{\"status\":\"ok\"}","stderr":"","exitCode":200,"command":"http://localhost:59948/claude_code/hooks"},"type":"attachment","uuid":"c56596af-569f-4f40-b489-fa9c8026e192","timestamp":"2026-04-29T14:34:02.818Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 128 128 + {"parentUuid":"fcd4cefb-ce28-49fc-8231-b03e5617fa35","isSidechain":false,"promptId":"930d621c-aa64-4181-82ae-cf4441664f73","type":"user","message":{"role":"user","content":[{"tool_use_id":"call_ae7dad09bddb41ef8bc6ec35","type":"tool_result","content":"1\timport { tokenizedText } from \"../tokenize\";\n2\timport type { ParsedSession, SessionRecord } from \"../types\";\n3\timport type { Db } from \"./shared\";\n4\timport { sessionRootFromFile } from \"./sql\";\n5\t\n6\texport function getIndexedSessionMeta(\n7\t db: Db,\n8\t filePath: string,\n9\t): { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null {\n10\t const row = db\n11\t .prepare<[string], { rawFileMtime: number; rawFileSize: number; indexVersion: string }>(`\n12\t SELECT raw_file_mtime AS rawFileMtime, raw_file_size AS rawFileSize, index_version AS indexVersion\n13\t FROM sessions\n14\t WHERE file_path = ?\n15\t LIMIT 1\n16\t `)\n17\t .get(filePath) as\n18\t | { rawFileMtime: number; rawFileSize: number; indexVersion: string }\n19\t | undefined;\n20\t\n21\t return row ?? null;\n22\t}\n23\t\n24\texport function deleteSessionByFilePath(db: Db, filePath: string): void {\n25\t const row = db\n26\t .prepare<[string], { sessionUuid: string }>(\"SELECT session_uuid AS sessionUuid FROM sessions WHERE file_path = ? LIMIT 1\")\n27\t .get(filePath) as { sessionUuid: string } | undefined;\n28\t\n29\t if (!row) return;\n30\t deleteSessionByUuid(db, row.sessionUuid);\n31\t}\n32\t\n33\texport function deleteSessionByUuid(db: Db, sessionUuid: string): void {\n34\t db.prepare(\"DELETE FROM sessions_fts WHERE session_uuid = ?\").run(sessionUuid);\n35\t db.prepare(\"DELETE FROM messages_fts WHERE session_uuid = ?\").run(sessionUuid);\n36\t db.prepare(\"DELETE FROM messages WHERE session_uuid = ?\").run(sessionUuid);\n37\t db.prepare(\"DELETE FROM sessions WHERE session_uuid = ?\").run(sessionUuid);\n38\t}\n39\t\n40\texport function replaceSession(\n41\t db: Db,\n42\t session: ParsedSession,\n43\t rawFileMtime: number,\n44\t rawFileSize: number,\n45\t indexVersion: string,\n46\t pathDate: string,\n47\t sourceRoot = sessionRootFromFile(session.filePath),\n48\t): void {\n49\t const tx = db.transaction(() => {\n50\t const existing = db\n51\t .prepare<[string, string], { id: number }>(\"SELECT id FROM sessions WHERE session_uuid = ? OR file_path = ? LIMIT 1\")\n52\t .get(session.sessionUuid, session.filePath) as { id: number } | undefined;\n53\t\n54\t if (existing) {\n55\t db.prepare(\n56\t `\n57\t UPDATE sessions\n58\t SET session_uuid = ?, file_path = ?, source_root = ?, title = ?, summary_text = ?, compact_text = ?, reasoning_summary_text = ?,\n59\t cwd = ?, model = ?, started_at = ?, ended_at = ?, path_date = ?,\n60\t message_count = ?, raw_file_mtime = ?, raw_file_size = ?, index_version = ?, updated_at = CURRENT_TIMESTAMP\n61\t WHERE id = ?\n62\t `,\n63\t ).run(\n64\t session.sessionUuid,\n65\t session.filePath,\n66\t sourceRoot,\n67\t session.title,\n68\t session.summaryText,\n69\t session.compactText ?? \"\",\n70\t session.reasoningSummaryText ?? \"\",\n71\t session.cwd,\n72\t session.model,\n73\t session.startedAt,\n74\t session.endedAt,\n75\t pathDate,\n76\t session.messages.length,\n77\t rawFileMtime,\n78\t rawFileSize,\n79\t indexVersion,\n80\t existing.id,\n81\t );\n82\t } else {\n83\t db.prepare(\n84\t `\n85\t INSERT INTO sessions (\n86\t session_uuid, file_path, source_root, title, summary_text, compact_text, reasoning_summary_text,\n87\t cwd, model, started_at, ended_at, path_date,\n88\t message_count, raw_file_mtime, raw_file_size, index_version\n89\t ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n90\t `,\n91\t ).run(\n92\t session.sessionUuid,\n93\t session.filePath,\n94\t sourceRoot,\n95\t session.title,\n96\t session.summaryText,\n97\t session.compactText ?? \"\",\n98\t session.reasoningSummaryText ?? \"\",\n99\t session.cwd,\n100\t session.model,\n101\t session.startedAt,\n102\t session.endedAt,\n103\t pathDate,\n104\t session.messages.length,\n105\t rawFileMtime,\n106\t rawFileSize,\n107\t indexVersion,\n108\t );\n109\t }\n110\t\n111\t const sessionRow = db\n112\t .prepare<[string], { id: number }>(\"SELECT id FROM sessions WHERE session_uuid = ? LIMIT 1\")\n113\t .get(session.sessionUuid) as { id: number };\n114\t\n115\t db.prepare(\"DELETE FROM messages_fts WHERE session_uuid = ?\").run(session.sessionUuid);\n116\t db.prepare(\"DELETE FROM messages WHERE session_uuid = ?\").run(session.sessionUuid);\n117\t db.prepare(\"DELETE FROM sessions_fts WHERE rowid = ? OR session_uuid = ?\").run(sessionRow.id, session.sessionUuid);\n118\t\n119\t db.prepare(\n120\t `\n121\t INSERT INTO sessions_fts(rowid, title, summary_text, compact_text, reasoning_summary_text, session_uuid)\n122\t VALUES (?, ?, ?, ?, ?, ?)\n123\t `,\n124\t ).run(\n125\t sessionRow.id,\n126\t tokenizedText(session.title),\n127\t tokenizedText(session.summaryText),\n128\t tokenizedText(session.compactText ?? \"\"),\n129\t tokenizedText(session.reasoningSummaryText ?? \"\"),\n130\t session.sessionUuid,\n131\t );\n132\t\n133\t const messageStmt = db.prepare<[number, string, number, string, string, string, string]>(`\n134\t INSERT INTO messages (session_id, session_uuid, seq, role, content_text, timestamp, source_kind)\n135\t VALUES (?, ?, ?, ?, ?, ?, ?)\n136\t `);\n137\t const ftsStmt = db.prepare<[number, string, string, number, string, string]>(`\n138\t INSERT INTO messages_fts(rowid, content_text, session_uuid, seq, role, timestamp)\n139\t VALUES (?, ?, ?, ?, ?, ?)\n140\t `);\n141\t\n142\t for (const message of session.messages) {\n143\t const result = messageStmt.run(\n144\t sessionRow.id,\n145\t session.sessionUuid,\n146\t message.seq,\n147\t message.role,\n148\t message.contentText,\n149\t message.timestamp,\n150\t message.sourceKind,\n151\t );\n152\t const messageId = Number(result.lastInsertRowid);\n153\t // Feed the FTS index with tokenized text so that CJK runs are split\n154\t // into bigrams by tokenize(). Stored content in messages.content_text\n155\t // stays raw for display.\n156\t ftsStmt.run(\n157\t messageId,\n158\t tokenizedText(message.contentText),\n159\t session.sessionUuid,\n160\t message.seq,\n161\t message.role,\n162\t message.timestamp,\n163\t );\n164\t }\n165\t });\n166\t\n167\t tx();\n168\t}\n169\t\n170\texport function getSessionRecord(db: Db, sessionUuid: string): SessionRecord | null {\n171\t const row = db\n172\t .prepare<[string], SessionRecord & { filePath: string }>(`\n173\t SELECT\n174\t session_uuid AS sessionUuid,\n175\t file_path AS filePath,\n176\t source_root AS sourceRoot,\n177\t title,\n178\t summary_text AS summaryText,\n179\t cwd,\n180\t model,\n181\t started_at AS startedAt,\n182\t ended_at AS endedAt,\n183\t path_date AS pathDate,\n184\t message_count AS messageCount\n185\t FROM sessions\n186\t WHERE session_uuid = ?\n187\t LIMIT 1\n188\t `)\n189\t .get(sessionUuid) as (SessionRecord & { filePath: string }) | undefined;\n190\t\n191\t if (!row) return null;\n192\t return row;\n193\t}\n194\t"}]},"uuid":"f0d30a37-efd5-481e-9692-eef950139aca","timestamp":"2026-04-29T14:34:02.819Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/envvar/work/repos/cxs/src/db/session-store.ts","content":"import { tokenizedText } from \"../tokenize\";\nimport type { ParsedSession, SessionRecord } from \"../types\";\nimport type { Db } from \"./shared\";\nimport { sessionRootFromFile } from \"./sql\";\n\nexport function getIndexedSessionMeta(\n db: Db,\n filePath: string,\n): { rawFileMtime: number; rawFileSize: number; indexVersion: string } | null {\n const row = db\n .prepare<[string], { rawFileMtime: number; rawFileSize: number; indexVersion: 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 | undefined;\n\n return row ?? null;\n}\n\nexport function deleteSessionByFilePath(db: Db, filePath: string): void {\n const row = db\n .prepare<[string], { sessionUuid: string }>(\"SELECT session_uuid AS sessionUuid FROM sessions WHERE file_path = ? LIMIT 1\")\n .get(filePath) as { sessionUuid: string } | undefined;\n\n if (!row) return;\n deleteSessionByUuid(db, row.sessionUuid);\n}\n\nexport function deleteSessionByUuid(db: Db, sessionUuid: string): void {\n db.prepare(\"DELETE FROM sessions_fts WHERE session_uuid = ?\").run(sessionUuid);\n db.prepare(\"DELETE FROM messages_fts WHERE session_uuid = ?\").run(sessionUuid);\n db.prepare(\"DELETE FROM messages WHERE session_uuid = ?\").run(sessionUuid);\n db.prepare(\"DELETE FROM sessions WHERE session_uuid = ?\").run(sessionUuid);\n}\n\nexport function replaceSession(\n db: Db,\n session: ParsedSession,\n rawFileMtime: number,\n rawFileSize: number,\n indexVersion: string,\n pathDate: string,\n sourceRoot = sessionRootFromFile(session.filePath),\n): void {\n const tx = db.transaction(() => {\n const existing = db\n .prepare<[string, string], { id: number }>(\"SELECT id FROM sessions WHERE session_uuid = ? OR file_path = ? LIMIT 1\")\n .get(session.sessionUuid, session.filePath) as { id: number } | undefined;\n\n if (existing) {\n db.prepare(\n `\n UPDATE sessions\n SET session_uuid = ?, file_path = ?, source_root = ?, title = ?, summary_text = ?, compact_text = ?, reasoning_summary_text = ?,\n cwd = ?, model = ?, started_at = ?, ended_at = ?, path_date = ?,\n message_count = ?, raw_file_mtime = ?, raw_file_size = ?, index_version = ?, updated_at = CURRENT_TIMESTAMP\n WHERE id = ?\n `,\n ).run(\n session.sessionUuid,\n session.filePath,\n sourceRoot,\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 pathDate,\n session.messages.length,\n rawFileMtime,\n rawFileSize,\n indexVersion,\n existing.id,\n );\n } else {\n db.prepare(\n `\n INSERT INTO sessions (\n session_uuid, file_path, source_root, title, summary_text, compact_text, reasoning_summary_text,\n cwd, model, started_at, ended_at, path_date,\n message_count, raw_file_mtime, raw_file_size, index_version\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n `,\n ).run(\n session.sessionUuid,\n session.filePath,\n sourceRoot,\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 pathDate,\n session.messages.length,\n rawFileMtime,\n rawFileSize,\n indexVersion,\n );\n }\n\n const sessionRow = db\n .prepare<[string], { id: number }>(\"SELECT id FROM sessions WHERE session_uuid = ? LIMIT 1\")\n .get(session.sessionUuid) as { id: number };\n\n db.prepare(\"DELETE FROM messages_fts WHERE session_uuid = ?\").run(session.sessionUuid);\n db.prepare(\"DELETE FROM messages WHERE session_uuid = ?\").run(session.sessionUuid);\n db.prepare(\"DELETE FROM sessions_fts WHERE rowid = ? OR session_uuid = ?\").run(sessionRow.id, session.sessionUuid);\n\n db.prepare(\n `\n INSERT INTO sessions_fts(rowid, title, summary_text, compact_text, reasoning_summary_text, session_uuid)\n VALUES (?, ?, ?, ?, ?, ?)\n `,\n ).run(\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 const messageStmt = db.prepare<[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<[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: Db, sessionUuid: string): SessionRecord | null {\n const row = db\n .prepare<[string], SessionRecord & { filePath: string }>(`\n SELECT\n session_uuid AS sessionUuid,\n file_path AS filePath,\n source_root AS sourceRoot,\n title,\n summary_text AS summaryText,\n cwd,\n model,\n started_at AS startedAt,\n ended_at AS endedAt,\n path_date AS pathDate,\n message_count AS messageCount\n FROM sessions\n WHERE session_uuid = ?\n LIMIT 1\n `)\n .get(sessionUuid) as (SessionRecord & { filePath: string }) | undefined;\n\n if (!row) return null;\n return row;\n}\n","numLines":194,"startLine":1,"totalLines":194}},"sourceToolAssistantUUID":"fcd4cefb-ce28-49fc-8231-b03e5617fa35","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 129 129 + {"parentUuid":"f0d30a37-efd5-481e-9692-eef950139aca","isSidechain":false,"message":{"id":"msg_385d26e2a57a4abebf6563ad","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"thinking","thinking":"Now I see the full picture. The indexing pipeline:\n\n1. `session-store.ts:replaceSession()` calls `tokenizedText()` on all text before inserting into FTS tables\n2. `tokenizedText()` calls `tokenize()` which produces bigrams for CJK and Intl.Segmenter tokens for non-CJK\n3. So the FTS index contains pre-tokenized bigram text\n4. The FTS tables use `tokenize='unicode61 remove_diacritics 1'` which means unicode61 will further tokenize the already-tokenized text\n\n\n5. On the query side, `queryTerms()` produces bigrams that get ANDed together in the MATCH expression, so unicode61 should be matching them against the already-bigramized content in the FTS tables.\n\nLet me trace through this more carefully: the content stored in FTS is already bigramized (like \"ab cd ef\" for CJK text), and when unicode61 processes that, it treats each bigram as a separate token. So querying with \"ab AND cd\" should work since those bigrams exist as individual tokens in the index. For non-CJK text, it goes through Intl.Segmenter first, then unicode61 handles the tokenization. Looking at the `buildFtsMatch` function, I see it wraps each bigram in quotes and joins them with AND operators. When these quoted bigrams hit the FTS5 index, they should match against the stored tokens. But there's a potential mismatch: FTS5's `unicode61` tokenizer handles text differently than the custom bigram approach, so non-CJK tokens might not align properly with what's stored in the index.\n\nLet me trace through what's actually happening in the FTS configuration. The `messages_fts` table uses `unicode61` as its tokenizer, but I need to verify whether the indexed content is already pre-tokenized with bigrams or if it's raw text being tokenized at query time.\n\nLooking at the tokenization pipeline, it seems like non-CJK text gets processed through an Intl.Segmenter first to break it into words, then those words are stored as space-separated tokens in the FTS index. So when a query comes in, it's also tokenized the same way, and the bigrams should match what's already indexed. The question is whether the tokenizer is actually producing matching tokens between the indexed content and queries.\n\nNow I'm examining the scoring logic in the ranking system. There are two scoring functions: one evaluates individual rows based on BM25 relevance, exact phrase matches, term coverage, and whether the source is a message or user-generated content. The other scores sessions by combining the best row score with additional signals like title phrase matches, title term hits, and other metadata.\n\nI'm noticing some redundancy in how term coverage is calculated. The phrase matching logic appears in multiple places—once in the row scoring function and again in the session scoring function, where it checks for phrase matches in both the title and content. This overlap suggests there might be an opportunity to consolidate the matching logic.\n\nLooking at the actual bonus values though, I see the design intent more clearly now. A title phrase match at +30 is significantly weighted higher than a content phrase match at +8, which makes sense since title matches are more semantically meaningful. The cwdTermHits bonus at +18 per term is also surprisingly large, and when combined with titleTermHits at +10 per term, a session matching multiple terms across both fields could accumulate substantial bonuses that outweigh the base signal score.\n\nThe recency decay function uses a 120-day window with a 0.15 daily decay rate, capping the bonus at +18 for recent sessions. The constants driving these bonuses feel somewhat arbitrary—title phrase matches at 30, cwd term hits at 18, content phrase matches at 8—but they're clearly tuned to favor certain types of matches over others.\n\nLooking at the scoring logic more carefully, I notice the title phrase bonus only applies when the entire query appears verbatim in the title. This means multi-word queries like \"deploy 500\" would get the +30 bonus only if that exact phrase exists in the title, not just the individual words.\n\nThe test case demonstrates this perfectly: the session with \"fly deploy\" and \"health check 500\" scattered across different messages ranks higher than one with \"deploy checklist\" in a single message, because it accumulates more hitCount bonuses from matching multiple terms across the session, even though neither has the exact phrase \"deploy 500\" in the title.\n\nFor session-level FTS results, the content is built from concatenating the title, summary, compact text, and reasoning summary—so phrase matching could theoretically work across these concatenated fields.\n\nThe `queryTerms` function deduplicates tokens, which prevents inflated term coverage scores from repeated terms in CJK bigrams. The `countMatchedTerms` function just checks for substring containment of each term in the content, which could potentially create false positives with short or common terms.\n\nFor LIKE fallback queries, the score is negated so that earlier results get lower (better) scores, aligning with BM25's convention where lower scores indicate better matches. When these LIKE results are merged with FTS results and reranked together, the `normalizedBm25` calculation flips the sign so higher values indicate better matches, ensuring the two result sets can be properly compared.\n\nThere's an edge case where zero-token CJK queries fall back to LIKE matching, but single-character CJK queries are dropped as stop words by the tokenizer, creating an inconsistency in how single-character inputs are handled.\n\nThe `classifyQueryProfile` function categorizes queries as \"broad\" or \"exact\" based on certain heuristics, but this classification isn't actually used in the scoring logic anymore—the `kind` field is retained only for backward compatibility with existing tests. The `isMultiTerm` signal also isn't being leveraged anywhere, which suggests these are dead code paths that could be cleaned up.\n\nLooking at the FTS5 configuration more closely, I'm noticing something important about how tokenization works. The FTS table uses the `unicode61` tokenizer on top of the pre-tokenized bigram text, which means it's applying its own tokenization rules to already-processed content. Since the input to FTS is space-separated tokens from the tokenizer, `unicode61` will split on those spaces and handle each token individually. This approach works fine for ASCII bigrams, but for CJK characters that were already split into bigrams, there's a potential issue with how `unicode61` handles the diacritics removal and other transformations.\n\nThe message store is storing the raw original text in the `messages` table while feeding the FTS index with the tokenized version, so search results can display the original content. However, when building snippets for session-level results, the code is concatenating multiple text fields together, and it looks like that concatenation might be getting cut off mid-field.\n\nLooking at the snippet generation, the `contentText` for session hits includes the tokenized versions of title, summary, compact, and reasoning fields, which means the displayed snippet would show bigramized CJK text instead of the original readable text. This is a real UX issue—session-level results would display fragmented text like \"设 置 提 醒\" instead of the proper \"设置提醒\". The test is checking whether the snippet contains a specific phrase, but with tokenized text being shown, that phrase might not appear as expected in the output. the original text \"设置 ChatGPT 订阅取消提醒\" gets tokenized into bigrams like \"设置\", \"置C\", \"Ch\", \"ha\", \"at\", \"tG\", \"GP\", \"PT\"... Actually no, Intl.Segmenter would handle \"ChatGPT\" as one token \"chatgpt\". And CJK gets bigramized: \"设置\" → \"设置\", \"置C\"... wait, \"置\" is CJK and \"C\" is non-CJK, so the buffer would flush. \"设置\" → bigrams: \"设置\". Then \"ChatGPT\" → \"chatgpt\". Then \"订阅取消提醒\" → \"订阅\", \"阅取\", \"取消\", \"消提\", \"提醒\".\n\nSo the tokenized text stored in FTS is \"设置 chatgpt 订阅 阅取 取消 消提 提醒\". When I search for \"订阅取消提醒\", it tokenizes to those same bigrams and the MATCH query finds all of them in the FTS content. The contentText pulled from the session concatenates all these tokenized fields, so it contains the original characters alongside the bigrams. The snippet generator then locates each term within that contentText and wraps them with highlighting tags.\n\nLooking at the test assertions, they're checking that the snippet contains the exact characters \"订阅取消提醒\" as a substring. Since the contentText is built from tokenized text where \"订阅\" appears as a bigram, the substring \"订阅取消提醒\" should indeed be present in the concatenated contentText, making the test pass. So the key issue is that `contentText` pulls from tokenized FTS fields, meaning session-level snippets show bigrams for CJK text while message-level snippets display the original readable text—this creates an inconsistency in how content is presented to users. Now I'm examining the LIKE fallback implementation for single CJK characters to see if there are other edge cases. I see the issue now—when a single CJK character gets dropped as a stop word, `queryTerms` returns an empty array, but the search logic only triggers the LIKE fallback if `hasCjk` detects CJK characters in the original query. This creates a gap where a query like \"的\" would fail to match anything because it's filtered out before reaching the fallback mechanism. The LIKE fallback only applies when `terms.length === 0` and `hasCjk(normalized)` is true, so single ASCII characters return empty results by design. Now I'm looking at the session search function to see if it handles empty terms differently—it looks like it returns early if there are no terms, which means single CJK characters that tokenize to nothing would also produce no session results.\n\nI'm also noticing that message search handles the LIKE fallback for zero-token CJK queries, but session search doesn't have that same fallback mechanism. And there's a potential issue with the FTS5 tokenizer configuration—it's using `unicode61` with diacritics removal on pre-tokenized bigram text, which could cause problems if those bigrams contain special characters or punctuation that `unicode61` handles unexpectedly.\n\nLooking at how `tokenize()` works, it splits CJK characters into bigrams and lowercases non-CJK text through the segmenter, so the FTS index should store clean lowercase tokens that match fine. The snippet selection logic also seems correct—it prefers message rows over session rows, then picks based on signal score. But I should check whether FTS5's `unicode61` tokenizer has any quirks with how it handles the pre-tokenized content.\n\nThe real concern is that `unicode61` will re-tokenize the space-separated bigrams, which should work fine for simple cases, but I need to think through what happens with CJK characters that get converted to bigrams like \"设置\" and whether the tokenizer handles those properly. U+8BA1) and \"置\" (U+7F6E) - these are valid Unicode characters that unicode61 should handle fine. The space-separated bigrams would be tokenized as individual tokens by unicode61.\n\nBut wait, there's another issue. The `tokenize()` function creates overlapping bigrams for CJK text. For \"设置提醒\", it produces [\"设置\", \"置提\", \"提醒\"]. But the FTS5 unicode61 tokenizer doesn't know about these bigrams - it just sees three separate tokens. So when querying \"设置提醒\", the query tokenizes to the same bigrams, and the MATCH expression becomes a search for all three tokens present in the document. This is intersection semantics, not phrase semantics, so a document containing all three bigrams in any order would match. That's acceptable for a search engine since it gives good recall.\n\nNow looking at how `scoreRow()` handles this - it checks for exact phrase matches in the content and assigns a bonus. Since the content is already tokenized with bigrams, searching for the full phrase \"设置提醒\" would actually find it as a substring because the bigrams are adjacent in the stored text. This means the phrase bonus gets applied somewhat generously, but it's consistent and works well in practice.\n\nI'm now examining the LIKE fallback path to see if there are any other edge cases or issues there. I'm noticing a discrepancy in how empty query terms are handled between the two search functions—`searchMessageHits` falls back to LIKE for CJK queries when terms are empty, but `searchSessionHits` just returns nothing, which could miss valid session results for single CJK character queries.\n\nLooking at the FTS5 tokenizer configuration, I'm realizing there might be a deeper issue with how the tokenization layers interact. The `tokenize()` function pre-processes text into bigrams, but then FTS5's `unicode61` tokenizer runs on top of that, potentially splitting or re-processing the already-tokenized output in unexpected ways.\n\nFor English text like \"hello world\", the tokenizer produces the same output since it's already lowercase and space-separated. For CJK characters like \"设置提醒\", the bigrams become individual tokens that unicode61 treats as opaque strings, which should work fine. But I'm concerned about edge cases—what happens if punctuation or special characters end up in the bigrams, or if unicode61 applies unexpected transformations to the CJK tokens? I'm checking how the tokenizer handles non-CJK punctuation—it would be included in the bigrams since the buffer only flushes at CJK boundaries, so a CJK character followed by punctuation creates a bigram with that punctuation included. This is correct behavior since punctuation can be meaningful, though it means unicode61 might strip diacritics from accented characters in the bigrams.\n\nNow I'm ready to compile my findings. I've identified several issues ranging from a bug where session-level FTS queries lack a LIKE fallback for zero-token CJK inputs, to a moderate UX problem where session snippets display tokenized text instead of the original readable content, and some dead code where `classifyQueryProfile` and the `kind` field aren't actually used by the scoring pipeline.\n\nThere's also a potential safety concern where `countMatchedTerms` does simple substring matching that could produce false positives with short terms, and I'm noticing the scoring constants rely heavily on hand-tuned magic numbers without clear justification for their relative weights. The FTS5 tokenizer configuration looks correct for the pre-tokenized content, and the query-side tokenization approach seems reasonable overall.\n\nNow I'm digging deeper into the `countMatchedTerms` function to understand the actual risk—short CJK bigrams like \"的\" are already filtered out, so the minimum length is 2 characters, which limits false positives. For English terms, single-letter tokens could theoretically slip through the segmenter, but in practice the Intl.Segmenter tends to produce word-like tokens, so the risk is relatively low. I'm also noticing a potential issue with how `contentText` is being constructed for session hits.\n\nThe concatenation uses newline separators, which means term matching could accidentally span across field boundaries—for instance, if `summary_text` ends with \"deploy\" and `compact_text` starts with \"500\", searching for \"deploy 500\" would match even though the terms aren't actually adjacent in any single field. It's unlikely in practice since the tokenizer produces bigrams, but it's worth noting as a theoretical edge case.\n\nLooking at the session scoring logic, `sessionHitCount` gets a modest bonus for matches coming from FTS, and the score caps this at 2 to prevent runaway values. That seems reasonable.\n\nNow examining the time decay function, which applies a linear recency bonus over a 120-day window...\n\nthe bonus starts at 18 for the current day and decreases by 0.15 per day, hitting zero after 120 days. This creates a meaningful gradient where yesterday's content gets +17.85, last week's gets +16.95, and so on. The recency bonus can stack with other signals, potentially pushing recent content above +36, though it's still smaller than the title phrase match bonus of +30, so genuinely relevant older content can still compete.\n\nNow I'm looking at how FTS5's BM25 scoring interacts with the pre-tokenized content. Since the text is already split into bigrams before being indexed, the IDF values might behave differently than expected—terms like \"设置\" appear frequently across documents, which could affect their discriminative power.\n\nThe custom tokenizer does normalize everything consistently (CJK to bigrams, non-CJK to lowercase words), so the relative BM25 rankings should still work as intended even if the absolute values shift. This approach is actually well-suited for mixed-language search.\n\nI've identified a few concrete issues: the session-level search lacks a LIKE fallback for zero-token CJK queries unlike the message search, session snippets display the raw tokenized text rather than the original readable content, and there's dead code in the classification logic that isn't being used. The scoring constants also seem reasonable given how they interact with the recency and phrase-matching signals.\n\nLet me trace through the actual test case to verify the ranking behavior. The first session has \"deploy\" appearing once in a user message, while the second has it appearing twice across both user and assistant messages, plus the title \"deploy checklist\" matches the query phrase directly. So the second session should rank higher due to the title phrase match and additional message hits. The test expects the second session to rank higher, which it does—the first session scores around 25.5 while the second scores around 41.5, a meaningful 16-point gap. The title phrase match is the decisive factor here. I'm wondering if there's an edge case where a session has many message hits but no title match that could flip the ranking.\n\nLet me work through a concrete example: Session A has 6 message hits with no title or CWD match, giving it a best row score of 13 plus session bonuses of 9 and a recency bonus of 18, totaling 40. Session B has just 1 message hit but matches the title phrase, so its best row score is 5 plus a 30-point title bonus and the same recency bonus, totaling 53. Even with maximum message hits, Session A can't overcome the title phrase advantage.\n\nThe scoring system is clearly designed to prioritize title matches heavily, which makes sense for session-level search. I should also consider the `sessionHitCount` bonus—when a query matches only the session title with no message hits, the best row signal is 0, but the title phrase match alone provides a +30 bonus, which is still substantial.\n\nNow let me trace through what happens when `bestRowSignalScore` is 0 to make sure there are no edge cases I'm missing.\n\nWhen there are no message hits, `searchMessageHits` returns an empty array, so only session-level rows exist with `matchSource = \"session\"`. For these rows, the signal score calculation gives 0 for bm25 (since session results have no content phrase), 0 for content phrase (empty content), 0 for term coverage (empty content), 0 for message source (it's session, not message), and 0 for user role (it's session, not user). So the best row signal score ends up being 0, which is correct—the session's ranking then depends entirely on the title, term matches, and recency signals. Now I'm checking the snippet generation for session hits to see if there are any issues there.\n\nFor session-level results, the content is built by concatenating the title, summary, compact, and reasoning fields from the FTS index. The snippet is then generated by searching for the query phrase or individual terms within that concatenated text. This approach works fine when the query matches something in the title or summary, but if the match only appears in compact or reasoning text, the snippet might not capture it well. Let me look at how the snippet generation function actually handles this...\n\nThe function first tries to find the exact query phrase in the content, and if that fails, it searches for individual terms and scores different windows based on term density before selecting the best one. This logic seems sound for session results. Now I'm checking what happens when the query doesn't match anything in the session content at all.\n\nIf neither the phrase nor any terms appear in the content, the function falls back to just returning the first 160 characters. But since session content is built from tokenized text, that initial slice would be the beginning of the tokenized title—potentially showing incomplete tokens. The real issue is that when there's no match, users see what looks like garbled bigram text instead of meaningful content. This seems like a genuine problem worth noting.\n\nLooking at the FTS MATCH expression logic, each term gets quoted and joined with AND operators. Since terms are already deduplicated and bigrams are at least two characters, this approach works fine—there's no risk of empty terms or single-character terms breaking the query.\n\nThe query and ranking design is fundamentally sound: the two-stage retrieval with message and session FTS works well, bigram tokenization handles mixed-language content effectively, and the reranking properly balances content relevance with title matches and recency. The main issues are that session-level FTS queries don't fall back to LIKE for zero-token CJK inputs like message queries do, and session snippets display tokenized text rather than the original readable content. There's also some dead code in the classification function that should be cleaned up.","signature":""}],"usage":{"input_tokens":0,"output_tokens":0}},"type":"assistant","uuid":"39c9e6b7-3bff-41d6-83ac-61aa4433ae35","timestamp":"2026-04-29T14:35:53.882Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 130 130 + {"type":"last-prompt","lastPrompt":"B","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 131 131 + {"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a"} 132 132 + {"parentUuid":"39c9e6b7-3bff-41d6-83ac-61aa4433ae35","isSidechain":false,"message":{"id":"msg_385d26e2a57a4abebf6563ad","type":"message","role":"assistant","model":"mimo-v2.5-pro","content":[{"type":"text","text":"好，全部核心文件看完了。以下是 query & ranking 模块的 review 结论。\n\n---\n\n## Query & Ranking Review\n\n### 整体判断\n\n架构设计是合理的：两路 FTS5 召回（message-level + session-level）→ 合并 → heuristic rerank → 渐进读取。CJK bigram + Intl.Segmenter 的混合分词策略能同时覆盖中英文，session-level 字段权重通过 FTS5 column weights 显式控制。rerank 信号（bm25、短语匹配、title/cwd 命中、recency）组合得当，测试覆盖了主要排序场景。\n\n以下是具体发现：\n\n### Bug: session-level FTS 对零 token CJK 查询没有 LIKE 回退\n\n`src/query/search.ts:31-39`\n\n`searchMessageHits` 对零 token CJK 查询（单字，如 \"的\"）会回退到 LIKE 扫描，但 `searchSessionHits` 直接 `return []`。这意味着单字 CJK 查询只能搜到 message，搜不到 session title/summary。\n\n```ts\n// searchMessageHits: 有 LIKE 回退\nif (terms.length === 0) {\n if (hasCjk(normalized)) return searchByLike(...);\n return [];\n}\n\n// searchSessionHits: 直接返回空\nif (terms.length === 0) return [];\n```\n\n影响较小（单字查询本身价值低），但行为不一致。\n\n### UX 问题: session-only 命中的 snippet 展示的是分词后的文本\n\n`src/query/search.ts:118`\n\nsession FTS 查询的 `contentText` 拼接的是 FTS 索引中分词后的字段：\n\n```ts\ns.title || char(10) || s.summary_text || char(10) || s.compact_text || char(10) || s.reasoning_summary_text AS contentText\n```\n\n这些字段经过 `tokenizedText()` 处理后存储，CJK 内容变成了 bigram 序列（如 \"设置提醒\" → \"设置 置提 提醒\"）。snippet 生成后用户看到的是分词碎片，不是原始可读文本。\n\n对比 message-level 结果，snippet 从 `messages.content_text`（原始文本）生成，可读性正常。session-only 命中的 snippet 会显得异常。\n\n### 死代码: `classifyQueryProfile` 的 `kind` 和 `isMultiTerm` 未被使用\n\n`src/ranking.ts:35-54`\n\n注释明确说 \"The v3 scoring pipeline does not branch on kind anymore\"。`kind` 字段只为了外部测试兼容保留，`isMultiTerm` 在 `QueryProfile` 上定义但评分管线从未读取。函数本身仍被 `rerankHits` 调用，但只用了 `normalizedQuery` 和 `terms`。\n\n### 观察: 评分常数可解释但偏 magic number\n\n`src/ranking.ts:186-197` 的 `scoreSession` 常数：\n\n| 信号 | 权重 | 效果 |\n|---|---|---|\n| titlePhrase | +30 | 几乎可以碾压其他信号 |\n| cwdTermHits | +18/term | cwd 匹配权重很高 |\n| titleTermHits | +10/term | |\n| contentPhrase | +8 (row) | |\n| message source | +4 (row) | |\n| user role | +2 (row) | |\n| hitCount | +1.5/hit (cap 6) | 最多 +9 |\n| sessionHitCount | +2/hit (cap 2) | 最多 +4 |\n| recency | 0~+18 | 120 天线性衰减 |\n\ntitle phrase (+30) 大于 6 条 message hit 的总和 (+9)，这是有意设计——title 命中代表 session 主题高度相关。但 cwd 单 term (+18) 比内容短语 (+8) 大两倍多，这个比例是否符合实际使用场景值得确认。\n\n### FTS5 配置: 两层分词实际工作正确\n\n`messages_fts` 和 `sessions_fts` 都用 `tokenize='unicode61 remove_diacritics 1'`，但写入前已经过 `tokenizedText()` 预处理。两层分词的关系：\n\n- 存入 FTS 的是 bigram 序列（空格分隔）\n- `unicode61` 按空格切分，每个 bigram 成为独立 token\n- 查询侧 `queryTerms()` 生成同样的 bigram，`buildFtsMatch()` 用 AND 连接\n- 语义是交集匹配，不是短语匹配\n\n这对混合语言检索是正确的选择。CJK 短语匹配通过 `scoreRow` 的 `contentPhrase` 补偿（因为 bigram 在原文中是连续的）。\n\n### 其他细节\n\n- `findSessions` 的 `recallLimit = Math.max(limit * 12, 50)` — 对 limit=5 召回 60 条，rerank 后取 top 5，比例合理\n- `searchTopHitInSession`（`read.ts:88-92`）用 `rerankHits(rows, query, 1)` 做单 session 内的锚点定位，复用了同一套排序逻辑，简洁\n- LIKE 路径的 score 取负 (`score: -(index + 1)`) 与 bm25 的 \"lower is better\" 极性对齐，rerank 时统一翻转，没有符号不一致\n\n---\n\n**总结**：核心检索逻辑是扎实的。最值得修的是 session snippet 的可读性问题；LIKE 回退不一致和死代码可以顺手清理。评分常数目前表现合理，等 eval 基线更强后再调更合适。\n\n想针对哪个发现深入或者动手修？"}],"usage":{"input_tokens":2056,"cache_creation_input_tokens":0,"cache_read_input_tokens":71552,"output_tokens":5906,"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":0},"inference_geo":"","iterations":[],"speed":"standard"},"stop_reason":"end_turn"},"type":"assistant","uuid":"db2683f8-5afe-4caf-9e67-1eff2d4dc627","timestamp":"2026-04-29T14:36:51.798Z","userType":"external","entrypoint":"cli","cwd":"/Users/envvar/work/repos/cxs","sessionId":"de8a8c9d-d8d1-4850-ab97-0b42c250464a","version":"2.1.118","gitBranch":"main"} 133 133 + 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