{ "slug": "dp_006-q03-codex", "dp": "dp_006", "files": 100, "qid": "q03", "family": "multi_hop", "prompt": "PR #84 (concurrent file processing) reported benchmark numbers for the 60 MB Wikipedia corpus. What hardware was used for those benchmarks in the PR, and how does the reported 60 MB wall-clock time compare with the number published in the v0.5.0 release notes for the same corpus? Are the figures consistent, and if not, what explains the difference?", "gold": "PR #84 states the benchmarks were run on an Apple M2 Max, 12-core, 32 GB RAM, and reports 278.3 ms (mean \u00b1 6.4 ms) from hyperfine for the 60 MB corpus with --max-concurrency=12. The v0.5.0 release notes state '280 ms' for the same corpus with --max-concurrency=8. The figures are consistent (both round to ~280 ms) but were taken with different concurrency ceilings (12 vs 8) and reported at different precision levels; the release notes round to the nearest 10 ms. The release notes benchmark table was run on an M2 Max as well (macOS 14.5, --max-concurrency=8), explaining the slight difference from the PR's 12-core run.", "agent": "codex", "fs": { "agent": "codex", "success": true, "steps": 1, "inputTokens": 514988, "outputTokens": 8890, "totalTokens": 523878, "cost": 6.4466, "durationMs": 118104, "answer": "PR #84\u2019s benchmark hardware was an Apple M2 Max, 12 physical cores, 32 GB RAM; the later PR note also says macOS Sequoia 15.3. See [pr-084-concurrent-processing.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:29) and [line 261](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:261).\n\nFor the 60 MB Wikipedia corpus, PR #84 reports `278.3 ms \u00b1 6.4 ms`, rounded in its summary table to `280 ms`. The v0.5.0 release notes publish `280 ms` for the same 60 MB Wikipedia subset. Numerically, those are consistent: the release note is just the rounded PR result.\n\nThe caveat is metadata consistency. PR #84\u2019s detailed run says `--max-concurrency=12` and a 3,142-file corpus, while the release-note table says `--max-concurrency=8` and 1,200 files. So the wall-clock number is consistent, but the surrounding benchmark description appears to have been normalized or partially stale in the release notes rather than copied exactly from the PR.", "judgeReason": "covers all asked facts", "toolCalls": 21, "trajectory": [ { "step": 1, "inputTokens": 514988, "outputTokens": 8890, "text": "I\u2019ll use the GitHub workflow skill for the PR context, but I\u2019ll start with the local `agent_memory/` per the workspace instructions since it says the answer is stored there.\nI\u2019m going to search the local memory files first for PR 84, the v0.5.0 release notes, and the Wikipedia benchmark terms.\nThe relevant memory files are present: `pr-084-concurrent-processing.md` and `release-v0.5.0-2026-06-08.md`. I\u2019m reading those next and checking adjacent notes for any reconciliation comments.\nThe primary numbers line up at first glance around 280 ms, but there\u2019s a mismatch in the corpus metadata and concurrency settings. I\u2019m checking the remainder of PR #84 and the related flakiness/perf notes to see whether that mismatch is explicitly explained.\nThere are two distinct threads with benchmark context: PR #84\u2019s own PR body and issue #41\u2019s discussion. The PR body is the source of the specific PR benchmark table; issue #41 explains how the broader 60 MB benchmark evolved across single-file and directory corpora.\nI found the reconciliation point: the PR\u2019s 60 MB run is `278.3 ms \u00b1 6.4 ms`, while the release notes round that to `280 ms`. The more important caveat is that the metadata around the published table changed: PR #84 records 12-way concurrency and a 3,142-file corpus, while the release table says 8-way concurrency and 1,200 files.\nPR #84\u2019s benchmark hardware was an Apple M2 Max, 12 physical cores, 32 GB RAM; the later PR note also says macOS Sequoia 15.3. See [pr-084-concurrent-processing.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:29) and [line 261](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/fs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:261).\n\nFor the 60 MB Wikipedia corpus, PR #84 reports `278.3 ms \u00b1 6.4 ms`, rounded in its summary table to `280 ms`. The v0.5.0 release notes publish `280 ms` for the same 6\u2026", "toolCalls": [ { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,220p' /Users/prasanna/.codex/plugins/cache/openai-curated/github/603a6e80/skills/github/SKILL.md\\\"\"}", "outputPreview": "---\nname: github\ndescription: Triage and orient GitHub repository, pull request, and issue work through the connected GitHub app. Use when the user asks for general GitHub help, wants PR or issue summaries, or needs repository context before choosing a more specific GitHub workflow.\n---\n\n# GitHub\n\n## Overview\n\nUse this skill as the umbrella entrypoint for general GitHub work in this plugin. It sho\u2026", "outputChars": 4356 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'find agent_memory -maxdepth 3 -type f -print'\"}", "outputPreview": "agent_memory/releases/release-v0.1.0-2026-01-22.md\nagent_memory/releases/release-v0.3.5-hotfix-2026-04-28.md\nagent_memory/releases/release-v0.4.0-2026-05-15.md\nagent_memory/releases/release-v0.3.0-2026-03-31.md\nagent_memory/releases/release-v0.6.0-2026-06-22.md\nagent_memory/releases/release-v0.6.2-prep-2026-06-30.md\nagent_memory/releases/release-v0.2.0-2026-02-28.md\nagent_memory/releases/release-v\u2026", "outputChars": 5104 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n \\\\\\\"PR #84|#84|pull request 84|concurrent file processing|60 MB|Wikipedia|v0\\\\\\\\.5\\\\\\\\.0|release notes|benchmark|wall-clock|hardware\\\\\\\" agent_memory .\\\"\"}", "outputPreview": "agent_memory/email/sponsor-outreach-bytebase.md:76: - v0.5.0 shipped today: concurrent file processing, which makes batch\nagent_memory/email/sponsor-outreach-bytebase.md:77: conversions dramatically faster on multi-core hardware. Hiroshi\nagent_memory/email/sponsor-outreach-bytebase.md:79: profiling and the implementation (PR #84). The benchmark results on\nagent_memory/email/sponsor-outreach\u2026", "outputChars": 137208 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'git remote -v && git status --short --branch'\"}", "outputPreview": "origin\tgit@github.com:supermemoryai/smfs.git (fetch)\norigin\tgit@github.com:supermemoryai/smfs.git (push)\n## feat/release-rl-improvements...origin/feat/release-rl-improvements [ahead 1]\n M ../../../../../../crates/smfs-core/src/agent_hint.rs\n", "outputChars": 241 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,260p' agent_memory/pr_threads/pr-084-concurrent-processing.md\\\"\"}", "outputPreview": "# PR #84: perf(cli): concurrent file processing for batched conversions (closes #41)\n\n**Branch:** `hiroshi-n/concurrent-processing` \u2192 `main`\n**Opened:** 2026-05-30 by @hiroshi-n\n**Merged:** 2026-06-08 by @lior-bz\n**Diff:** 14 files changed, +423 \u2212158\n**Status:** Merged \u2705 \u2014 v0.5.0\n\n---\n\n## Description\n\n### Problem\n\nBatched conversions on corpora larger than ~50MB showed a severe performance regress\u2026", "outputChars": 14624 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,180p' agent_memory/notes/retro-june-2026.md\\\"\"}", "outputPreview": "# June 2026 retro \u2014 v0.5.0, v0.6.0, Bytebase, v0.7 kickoff\n\n**Date:** 2026-06-30\n\n---\n\nTwo releases in one month. I don't think that's happened before \u2014 not real releases, anyway. June was heavier than I expected in a good way, and I want to capture it before I fall asleep at my desk.\n\nRelated: \u2192 [memory/profiles/lior-brennan-zhou.md](../memory/profiles/lior-brennan-zhou.md)\n\n---\n\n## Wins\n\n**v0.5.\u2026", "outputChars": 13969 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,260p' agent_memory/releases/release-v0.5.0-2026-06-08.md\\\"\"}", "outputPreview": "# kitabi v0.5.0 (2026-06-08) \u2014 Concurrent file processing\n\n> **Breaking change:** plugin-API ABI version bumped from 1 \u2192 2. Plugin authors must rebuild against `kitabi-plugin-api` 0.5.x. See [CHANGELOG-PLUGIN-API.md](../../CHANGELOG-PLUGIN-API.md) and the migration section below.\n\n---\n\n## Highlights \ud83d\ude80\n\n- **5\u00d7 throughput improvement** on multi-file batches. A 60 MB Wikipedia subset that took 7.4 s\u2026", "outputChars": 15060 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '190,235p' agent_memory/code/ARCHITECTURE.md\\\"\"}", "outputPreview": "| 2 | parse error |\n| 3 | ambiguity (the fail-fast rule fired) |\n| 4 | plugin error (load, ABI, capability) |\n| 5 | I/O error |\n\nDiagnostics go through `miette` 7.x. Ambiguity errors point at source spans with carets \u2014 when you see one and it's *not* helpful, that is a bug; please file it.\n\n## Configuration & Logging\n\n\u2026", "outputChars": 2200 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '260,560p' agent_memory/pr_threads/pr-084-concurrent-processing.md\\\"\"}", "outputPreview": "\nFor reference, here is the full hyperfine sweep I ran across five corpus sizes. All runs on M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3. Corpus is the same Wikipedia markdown subset across all sizes (subsampled uniformly by file count). Each benchmark is 10 warm runs after 3 cold discards.\n\nThe scaling is essentially linear. At 1MB the overhead of spawning tokio tasks is visible as a\u2026", "outputChars": 2953 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,260p' agent_memory/issues/issue-097-bench-suite-flaky.md\\\"\"}", "outputPreview": "# Bench suite is flaky on GitHub Actions (high variance, false regressions)\n\n**Issue #97**\n**Opened:** 2026-06-10\n**Reporter:** @hiroshi-n\n**Labels:** `infra`, `bench`, `ci`, `open`\n**Status:** open\n\n---\n\n## Body\n\n@hiroshi-n \u2014 2026-06-10 23:14 JST\n\nFiling this so we have a tracking issue. Short version: our bench job on GitHub Actions is too noisy to be useful for catching regressions, and over th\u2026", "outputChars": 11470 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,260p' agent_memory/notes/retro-may-2026.md\\\"\"}", "outputPreview": "# May 2026 retro \u2014 plugin system, ABI break, ban, Kavya\n\n**Date:** 2026-05-31\n\nPredecessor: [retro-april-2026.md](retro-april-2026.md)\n\nMay was the most eventful month since the /r/rust post in February. Shipped the biggest release yet, had the worst self-inflicted bug yet, gained a contributor I'm genuinely excited about, watched a star counter I'd convinced myself I didn't care about tick over 1\u2026", "outputChars": 10686 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"rg -n \\\\\\\"3,142|3142|1,200|1200|max-concurrency|--jobs|M2 Max|M1 Pro|280 ms|278\\\\\\\\.3|Wikipedia subset|wikipedia-60mb|60MB|60 MB\\\\\\\" agent_memory\\\"\"}", "outputPreview": "agent_memory/email/conf-invite-rustconf-2026.md:74:- Travel: economy airfare reimbursed up to $1,200 USD; hotel for 4 nights (single room, conference hotel block)\nagent_memory/releases/release-v0.5.0-2026-06-08.md:9:- **5\u00d7 throughput improvement** on multi-file batches. A 60 MB Wikipedia subset that took 7.4 seconds on v0.4.x now processes in **280 ms** on an M2 Max. The wall-clock gains are even \u2026", "outputChars": 18370 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,120p' agent_memory/issues/issue-041-performance-regression-50mb.md\\\"\"}", "outputPreview": "# Issue #41 \u2014 Performance regression on large files (>50MB) \u2014 converter slows ~5\u00d7 vs v0.2\n\n**Repository:** lior-bz/kitabi\n**Opened:** 2026-03-22 by @hiroshi-n\n**Closed:** 2026-06-08 by @lior-bz (closed via PR #84 merge)\n**Milestone:** v0.5.0\n**Labels:** `perf` `regression` `tree-sitter`\n**Assignee:** @hiroshi-n\n\nCross-references: ARCHITECTURE.md \u00b7 adrs/ADR-002-parsing-tree-sitter.md \u00b7 pr_threads/p\u2026", "outputChars": 6404 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '140,270p' agent_memory/issues/issue-041-performance-regression-50mb.md\\\"\"}", "outputPreview": "\n---\n\n## @nadiap \u2014 2026-03-26 09:02 EEST\n\nThank you. I'll add a note in CONTRIBUTING.md about checking diagnostic output as part of perf work.\n\n---\n\n## @hiroshi-n \u2014 2026-04-02 03:27 JST\n\nPR #62 merged last week. Bumpalo is in. Re-baselining on master:\n\n| Build | 60MB single-file | Notes |\n|--------------------|------------------|-----------------------|\n| v0.3.0 (relea\u2026", "outputChars": 5623 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '120,155p' agent_memory/releases/release-v0.5.0-2026-06-08.md\\\"\"}", "outputPreview": "Log ordering across concurrent files is buffered per-file. If you are parsing kitabi output programmatically, use `--output-format=json` (stable since v0.3.0) instead of scraping the human log.\n\n---\n\n## Bug fixes\n\n- **#41** \u2014 Performance regression on files >50 MB. Hiroshi reported in early April that processing a 60 MB file had gotten ~4\u00d7 slower between v0.3.0 and v0.4.0, tracing to a quadratic r\u2026", "outputChars": 2207 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"sed -n '1,190p' agent_memory/memory/community/hiroshi-nakamura.md\\\"\"}", "outputPreview": "# Profile \u2014 Hiroshi Nakamura (@hiroshi-n)\n\n**Pronouns:** he/him\n**Location:** Tokyo, Japan\n**GitHub:** @hiroshi-n\n**Email (security correspondence):** hiroshi.nakamura@example.jp\n**PGP key:** registered with the project for security@ communication\n\n---\n\n## Identity and background\n\nHiroshi Nakamura is a Tokyo-based engineer with a background in benchmarking, performance engineering, and security re\u2026", "outputChars": 14296 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba agent_memory/pr_threads/pr-084-concurrent-processing.md | sed -n '25,70p'\\\"\"}", "outputPreview": " 25\tError handling for partial failures: if one or more files fail in a batch, the remaining files complete, failed files emit miette diagnostics with full context, and the process exits with a non-zero code for the batch. This mirrors RFC-001's fail-fast-on-ambiguity rule applied at the batch boundary rather than within a single file.\n 26\t\n 27\t### Numbers\n 28\t\n 29\tHardware: Apple M\u2026", "outputChars": 2698 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba agent_memory/pr_threads/pr-084-concurrent-processing.md | sed -n '255,270p'\\\"\"}", "outputPreview": " 255\t\ud83d\ude80 28 \u2764\ufe0f 14 \u26a1 18\n 256\t\n 257\t---\n 258\t\n 259\t## Hiroshi's benchmark note (added to PR body 2026-06-02)\n 260\t\n 261\tFor reference, here is the full hyperfine sweep I ran across five corpus sizes. All runs on M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3. Corpus is the same Wikipedia markdown subset across all sizes (subsampled uniformly by file count). Each benchmark is\u2026", "outputChars": 1544 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba agent_memory/releases/release-v0.5.0-2026-06-08.md | sed -n '1,15p'\\\"\"}", "outputPreview": " 1\t# kitabi v0.5.0 (2026-06-08) \u2014 Concurrent file processing\n 2\t\n 3\t> **Breaking change:** plugin-API ABI version bumped from 1 \u2192 2. Plugin authors must rebuild against `kitabi-plugin-api` 0.5.x. See [CHANGELOG-PLUGIN-API.md](../../CHANGELOG-PLUGIN-API.md) and the migration section below.\n 4\t\n 5\t---\n 6\t\n 7\t## Highlights \ud83d\ude80\n 8\t\n 9\t- **5\u00d7 throughput improvement** \u2026", "outputChars": 1898 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba agent_memory/issues/issue-041-performance-regression-50mb.md | sed -n '188,230p'\\\"\"}", "outputPreview": " 188\tPR #84 is up for review. Concurrent file processing, bounded join set, blocking-pool parser, batched writers. Bench numbers on the directory corpus (600 files, 60MB total, M1 Pro \u2014 Lior's box, not mine, since he asked):\n 189\t\n 190\t| Configuration | Mean wall time |\n 191\t|-----------------------------------|---------------:|\n 192\t| serial, pre-bumpalo (v0.3.0) \u2026", "outputChars": 2496 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba agent_memory/releases/release-v0.5.0-2026-06-08.md | sed -n '132,148p'\\\"\"}", "outputPreview": " 132\t\n 133\t
\n 134\tFull bench numbers by corpus size (M2 Max, macOS 14.5, --max-concurrency=8)\n 135\t\n 136\t| Corpus | Files | Total size | v0.4.2 | v0.5.0 | Speedup |\n 137\t|---|---|---|---|---|---|\n 138\t| Tiny (synthetic) | 10 | 500 KB | 48 ms | 12 ms | 4.0\u00d7 |\n 139\t| Small (personal wiki) | 120 | 8 MB | 410 ms | 88 ms | 4.7\u00d7 |\n 140\t| Medium (project docs)\u2026", "outputChars": 1254 } ] } ] }, "smfs": { "agent": "codex", "success": true, "steps": 1, "inputTokens": 277317, "outputTokens": 5248, "totalTokens": 282565, "cost": 3.4852, "durationMs": 150547, "answer": "PR #84\u2019s benchmark hardware was an **Apple M2 Max, 12-core, 32 GB RAM**. The detailed note says the sweep ran on **M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3**, with `--max-concurrency=12` / default physical-core concurrency. See [pr_threads/pr-084-concurrent-processing.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:29) and [line 261](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:261).\n\nFor the 60 MB corpus, PR #84 reports **278.3 ms \u00b1 6.4 ms**, summarized in the PR table as **280 ms**. The v0.5.0 release notes also publish **280 ms** for the 60 MB Wikipedia subset, so the wall-clock figures are consistent by rounding.\n\nThe caveat is metadata drift: the PR says **3,142 files** and `--max-concurrency=12`, while the release notes table says **1,200 files**, `macOS 14.5`, and `--max-concurrency=8`. So the headline timing is consistent, but the surrounding benchmark description is not perfectly consistent. The likely explanation is that the release notes rounded/copied the PR\u2019s headline result while using a cleaned-up or stale benchmark table description.", "judgeReason": "covers all asked facts", "toolCalls": 14, "trajectory": [ { "step": 1, "inputTokens": 277317, "outputTokens": 5248, "text": "I\u2019ll search the mounted memory first, since the project instructions say the answer is there. I\u2019ll look for PR #84, the v0.5.0 release notes, and the 60 MB Wikipedia benchmark references, then cross-check the exact numbers.\nThe first pass found both relevant artifacts. I\u2019m reading the PR body and release notes now because there are two nearby benchmark descriptions, and the line-level details matter here: hardware, OS/concurrency, file counts, and run methodology differ slightly.\nThe core timing is already clear: the PR\u2019s detailed `hyperfine` output is 278.3 ms and the release notes round that to 280 ms. I\u2019m checking for notes around the mismatch in surrounding metadata, because the PR and release notes describe different file counts and concurrency settings for what is labeled the same 60 MB corpus.\nPR #84\u2019s benchmark hardware was an **Apple M2 Max, 12-core, 32 GB RAM**. The detailed note says the sweep ran on **M2 Max, 12 physical cores, 32 GB RAM, macOS Sequoia 15.3**, with `--max-concurrency=12` / default physical-core concurrency. See [pr_threads/pr-084-concurrent-processing.md](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:29) and [line 261](/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_006/agent_memory/pr_threads/pr-084-concurrent-processing.md:261).\n\nFor the 60 MB corpus, PR #84 reports **278.3 ms \u00b1 6.4 ms**, summarized in the PR table as **280 ms**. The v0.5.0 release notes also publish **280 ms** for the 60 MB Wikipedia subset, so the wall-clock figures are consistent by rounding.\n\nThe caveat is metadata drift: the PR says **3,142 files** and `--max-concurrency=12`, while the release notes table says **1,200 files**, `macOS 14.5`, and `--max-concurrency=8`. So the headline timing is consistent, but the surrounding benchmark description is not perfectly consistent. The likely explanation is that the release no\u2026", "toolCalls": [ { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'pwd && ls'\"}", "outputPreview": "/Users/prasanna/Documents/supermemoryai/supermemoryfs/.scratch/eval/eval/workspace/smfs/dp_006/agent_memory\ncode\nemail\nissues\nmemory\nnotes\npr_threads\nprofile.md\nreleases\n", "outputChars": 170 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"v0.5.0 release notes 60 MB Wikipedia corpus wall clock\\\"'\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"v0.5.0 release notes 60 MB Wikipedia corpus wall clock\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n# grep \"query\" path/to/dir/ search within directory\n# output: :-: (chunk text is verbatim from the file)\n/memory/profiles\u2026", "outputChars": 5034 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"PR #84 concurrent file processing 60 MB Wikipedia corpus benchmark hardware\\\"'\"}", "outputPreview": "# supermemory semantic search \u2014 10 results for \"PR #84 concurrent file processing 60 MB Wikipedia corpus benchmark hardware\"\n# searches by meaning across files in this container. usage:\n# grep \"natural language query\" search all files\n/memory/community/hiroshi-nakamura.md:Hiroshi Nakamura architected concurrent file processing in kitabi (PR #84), reducing processing time for large files\u2026", "outputChars": 6487 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba pr_threads/pr-084-concurrent-processing.md | sed -n '1,80p'\\\"\"}", "outputPreview": " 1\t# PR #84: perf(cli): concurrent file processing for batched conversions (closes #41)\n 2\t\n 3\t**Branch:** `hiroshi-n/concurrent-processing` \u2192 `main`\n 4\t**Opened:** 2026-05-30 by @hiroshi-n\n 5\t**Merged:** 2026-06-08 by @lior-bz\n 6\t**Diff:** 14 files changed, +423 \u2212158\n 7\t**Status:** Merged \u2705 \u2014 v0.5.0\n 8\t\n 9\t---\n 10\t\n 11\t## Description\n 12\t\n 13\t### Pr\u2026", "outputChars": 5784 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba releases/release-v0.5.0-2026-06-08.md | sed -n '110,165p'\\\"\"}", "outputPreview": " 110\tLog lines from concurrent file processing are now buffered per-file and written atomically when the file finishes processing. The order of completion is not guaranteed (it depends on file size and content), but you will never see lines from two files interleaved. With `--verbose`, each file's log block is prefixed with the filename:\n 111\t\n 112\t```\n 113\t[docs/guide.md] INFO parsing 14\u2026", "outputChars": 3945 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba pr_threads/pr-084-concurrent-processing.md | sed -n '240,310p'\\\"\"}", "outputPreview": " 240\t\n 241\t### @lior-bz \u2014 2026-06-05T16:02:00Z\n 242\t\n 243\tReviewed the updated diff. The JoinSet + Semaphore pattern is clean. Error semantics are correct and match RFC-001's intent at the batch boundary. Log ordering is solved. Exit-code handling is consistent with the rest of the CLI.\n 244\t\n 245\tApproving. Numbers speak for themselves.\n 246\t\n 247\t---\n 248\t\n 249\t### @lior-bz \u2014\u2026", "outputChars": 3921 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba issues/issue-041-performance-regression-50mb.md | sed -n '170,205p'\\\"\"}", "outputPreview": " 170\t---\n 171\t\n 172\t## @hiroshi-n \u2014 2026-04-02 22:08 JST\n 173\t\n 174\tAcknowledged. The serial path will be preserved as-is and `--max-concurrency 1` will go through it exactly. Concurrency is opt-in via flag with a sensible default of `num_cpus::get_physical()`.\n 175\t\n 176\tPR is going to take me a few weeks \u2014 there's a backpressure question on the writer side that I want to get right \u2026", "outputChars": 1492 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'rg -n \\\"3,142|3142|1,200|1200|max-concurrency=8|max-concurrency=12|macOS 14.5|Sequoia 15.3|278.3|280 ms|280ms\\\"'\"}", "outputPreview": "releases/release-v0.5.0-2026-06-08.md:9:- **5\u00d7 throughput improvement** on multi-file batches. A 60 MB Wikipedia subset that took 7.4 seconds on v0.4.x now processes in **280 ms** on an M2 Max. The wall-clock gains are even larger on machines with 8+ cores.\nreleases/release-v0.5.0-2026-06-08.md:134:Full bench numbers by corpus size (M2 Max, macOS 14.5, --max-concurrency=8)\nrelea\u2026", "outputChars": 6173 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"max-concurrency 8 12 M2 Max release notes PR 84 benchmark\\\"'\"}", "outputPreview": "/memory/community/hiroshi-nakamura.md:Hiroshi Nakamura uses an M2 Max MacBook Pro (32 GB RAM) and tools like hyperfine and criterion for his performance benchmarking.\n\n/memory/community/hiroshi-nakamura.md:Hiroshi Nakamura architected concurrent file processing in kitabi (PR #84), reducing processing time for large files significantly.\n\n# supermemory semantic search \u2014 10 results for \"max-concurren\u2026", "outputChars": 6102 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc 'smfs grep \\\"1200 files 3142 files 60MB Wikipedia subset release notes PR #84 mismatch\\\"'\"}", "outputPreview": "/memory/community/hiroshi-nakamura.md:Hiroshi Nakamura architected concurrent file processing in kitabi (PR #84), reducing processing time for large files significantly.\n\n/memory/community/drift-owl-42.md:Lior Brennan-Zhou has invited drift_owl_42 to take on a co-maintainer triage role, though drift_owl_42 has not yet accepted.\n\n/memory/profiles/sven-halgrimsson.md:Sven Halgr\u00edmsson maintains a nar\u2026", "outputChars": 4727 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba releases/release-v0.5.0-2026-06-08.md | sed -n '1,25p'\\\"\"}", "outputPreview": " 1\t# kitabi v0.5.0 (2026-06-08) \u2014 Concurrent file processing\n 2\t\n 3\t> **Breaking change:** plugin-API ABI version bumped from 1 \u2192 2. Plugin authors must rebuild against `kitabi-plugin-api` 0.5.x. See [CHANGELOG-PLUGIN-API.md](../../CHANGELOG-PLUGIN-API.md) and the migration section below.\n 4\t\n 5\t---\n 6\t\n 7\t## Highlights \ud83d\ude80\n 8\t\n 9\t- **5\u00d7 throughput improvement** \u2026", "outputChars": 2044 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba issues/issue-041-performance-regression-50mb.md | sed -n '220,265p'\\\"\"}", "outputPreview": " 220\t## @hiroshi-n \u2014 2026-06-08 18:34 JST\n 221\t\n 222\tOne last note for the record, since this thread will get linked from retros and CONTRIBUTING.md:\n 223\t\n 224\tThe regression was a known cost of the parser strategy; we paid it intentionally. ADR-002 chose tree-sitter for incremental reparse, IDE friendliness, and structural correctness on weird inputs. The ~5\u00d7 single-file slowdown was a\u2026", "outputChars": 2784 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba pr_threads/pr-084-concurrent-processing.md | sed -n '140,160p'\\\"\"}", "outputPreview": " 140\t\n 141\t---\n 142\t\n 143\t### @svenh \u2014 2026-06-01T08:47:00Z\n 144\t\n 145\t**[inline \u2014 `src/cli/batch.rs:203`]**\n 146\t\n 147\tBackpressure. Right now, if someone passes `--max-concurrency=512` on a system with 8 physical cores, you'll spawn 512 concurrent tasks immediately on a corpus with enough files. The JoinSet doesn't have a built-in concurrency cap \u2014 tasks are only bounded by how f\u2026", "outputChars": 1202 }, { "name": "command_execution", "input": "{\"command\": \"/bin/zsh -lc \\\"nl -ba code/ARCHITECTURE.md | sed -n '200,230p'\\\"\"}", "outputPreview": " 200\t- **Logging**: `tracing` + `tracing-subscriber`. Default is `WARN`+. `--quiet` (PR #79, @kavya-i) suppresses `INFO`. `RUST_LOG` is honored and overrides everything.\n 201\t\n 202\t## CLI Surface\n 203\t\n 204\tBuilt on clap v4 derive macros. Commands:\n 205\t\n 206\t- `kit convert [-o ] [--from ] [--to ]`\n 207\t- `kit check ` \u2014 parse-only, useful in CI\n 2\u2026", "outputChars": 1510 } ] } ] } }