{"window_id": "b1_local_albedo_d59c4be5_117067", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nparent here, thanks for the review, it was good: i checked your top findings against the code and they're real. now you fix your area. read `/tmp/hydrant-knobs/fix-common.md` in full first.\n\nyour area: indexer. worktree `/Users/dawn/proj/hydrant-agents/fix-indexer`, branch `fix-indexer`. your build box: `\"chernobog\"` (via rbuild, AREA=\"indexer\").\nassignments: your report's bugs. #2 is shared: you do the shard side (write_step refuses/supers", "prev_tool_output_snippet": "{\"cell_id\":\"d59c4be5bce255e5e1219ce9e2ce5490/toolu_01MmjupyfcbMbtE3BA6Had8c\",\"status\":\"ok\",\"duration\":0.004,\"output\":\"# fixing what you reviewed (common brief for the four fixers)\\n\\ndawn's instruction, verbatim: \\\"have other agents work on reviews, code quality and simplifications we can make\\\". you reviewed, now you fix your own area, since you already have it loaded.\\n\\n## where\\n- your worktree: `/Users/dawn/proj/hydrant-agents/fix-`, branch `fix-`, off `hydrant-stack` `0ebb8ca`. work only there. don't touch `/Users/dawn/proj/hydrant-agents/stack` (the stack itself) or anyone else's worktree.\\n- siblings fixing at the same time: fix-backfill (review-backfill), fix-indexer (review-indexer), fix-relay (review-relay), fix-edges (review-edges). also running: `phase3` (branch st", "old_think": "I'm laying out the plan: fixup commit 576affd for the erase byte cap and write_step refusal, fixup 1f977a5 for backfill_queued, and then tackle the trickier issue of state.indexer being None after shutdown — leaning toward a minimal fix where the in-place path simply refuses once the stop flag is set rather than touching hydrant.rs more broadly.\n\nFor job_step errors, I'm deciding to keep the job m", "tool_calls": [{"id": "toolu_01U1ngotgF9aPVqfMpd53Djm", "type": "function", "function": {"name": "python", "arguments": {"code": "W='/Users/dawn/proj/hydrant-agents/fix-indexer'\nasync def g(*a, cwd=None):\n j=run(\"git\",*a,cwd=cwd or W); await j\n out=[];o=0\n while True:\n s=output.read(j.id,o,65536)\n if not s: break\n out.append(s); o+=len(s)\n if len(s)<65536: break\n return ''.join(out)\nprint(await g(\"status\",\"--short\")); print(await g(\"log\",\"--oneline\",\"-3\"))\nprint(open('/tmp/hydrant-knobs/rbuild.py').read()[:3000])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_ee10de5f_116019", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nyou're `review-backfill`, one of four read-only reviewers of dawn's hydrant-stack branch. read `/tmp/hydrant-knobs/review-common.md` in full first, it has the instruction, the rules and the deliverable.\n\nyour area: **backfill**\nyour paths: src/backfill/** (worker/process.rs, task.rs, apply, spill, sparse, manager, client), src/mst.rs, src/car.rs\nyour design docs (in /tmp/hydrant-knobs/): locks-lock-", "prev_tool_output_snippet": "{\"cell_id\":\"ee10de5fe44fcfc1f64d759d4b24c223/toolu_01XnhHQUvvJnERqVvnKjJuum\",\"status\":\"ok\",\"duration\":0.001,\"output\":\"# reviewing hydrant-stack (common brief, every reviewer reads this whole)\\n\\ndawn's instruction, verbatim: \\\"have an agent work on 3, and have other agents work on reviews, code quality and simplifications we can make\\\"\\n\\n## what you're reviewing\\n`hydrant-stack`, tip `0ebb8ca`, 47 commits on `main` (`dc315a7`), in the worktree `/Users/dawn/proj/hydrant-agents/stack`. nothing is pushed. it is:\\n1. the fjall fork bump (worker 0 stops spinning)\\n2. phase 1: big repos are written in steps on their indexer shard (merge the car against stored records in key order, drain what was buffered in steps, erase/wipe in steps with job markers, spill big cars to disk)\\n3. phase 2: every ", "old_think": "", "tool_calls": [{"id": "toolu_01EkohPzkqxTNSDGCXt3ymnP", "type": "function", "function": {"name": "python", "arguments": {"code": "W='/Users/dawn/proj/hydrant-agents/stack'\nj=run(\"git\",\"diff\",\"--stat\",\"main..0ebb8ca\",\"--\",\"src/backfill\",\"src/mst.rs\",\"src/car.rs\",cwd=W);await j;print(j.tail(4000))\nj=run(\"git\",\"log\",\"--oneline\",\"main..0ebb8ca\",cwd=W);await j;print(j.tail(6000))\nimport os;print(os.listdir('/tmp/hydrant-knobs'))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_08d79807_108752", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou rewrite and cut code comments in dawn's voice. Do this first: read the whole of /tmp/comment-pass4/STYLE.md (short, it has the rules, the voice and examples). The workspace is /Users/dawn/proj/tangled-scratch.\n\nHARD RULES\n- You own ONLY the files listed below. Other agents are editing other files in this same checkout right now, so touch nothing outside your list.\n- Only comments may change. Nev", "prev_tool_output_snippet": "{\"cell_id\":\"08d79807fe2013f8e8060f4b2dcfb5ab/call_150\",\"status\":\"ok\",\"duration\":0.001,\"output\":\"7d0ab778eb5e148b389325558699d784 comments-git-chores \\nc1c3bb764efa5113ca5101a664a22e7d comments-flow \\n2f4f98bc0e65f39d9acbaca319e9b095 msgs-b \\nbbed2bd99eb470c4cb598fa35fef0289 comments-hops-hold \\nc25b1f843edfa1abc55225624279b687 comments-infra \\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_7871", "type": "function", "function": {"name": "python", "arguments": {"code": "h = await agents.get(\"c1c3bb764efa5113ca5101a664a22e7d\") # comments-flow\nmsgs = await h.messages(seq=0, limit=5000)\nprint(msgs[\"content\"][-2000:])\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_dfffa965_109378", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "background python cells finished with results unread: dfffa965893586f5ae4754c036173fbd/toolu_016LYNqgR45KEzUMFURqB5MU: status=ok, ran 72.917s. output.read(id) reads retained output; await cells.info(id) reads the final status. no user sent this message; use the results if needed, otherwise acknowledge briefly and stay idle.", "prev_tool_output_snippet": "{\"cell_id\":\"dfffa965893586f5ae4754c036173fbd/toolu_01TWU6c1Mtv7fHhZahYrkngc\",\"status\":\"ok\",\"duration\":0.287,\"output\":\"\\n3b65b0c [ingest] #identity from a relay marks the key stale\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "Now I'm tackling the big P3-6 task, starting by posting a progress update before designing the code. I'm sketching out the WorkerContext additions needed, including a per-shard parked structure that holds queued messages with their tickets, byte counts, timestamps, and host info for each DID, plus an answered field.\n\nI'm defining shared caps for the parking budget — global byte limits and per-host", "tool_calls": [{"id": "toolu_01DtsPnFgjnotTSdQGU9dFqF", "type": "function", "function": {"name": "python", "arguments": {"code": "await agents.progress(\"amends done (K1 version fn, W1 per-url trackers, plc breaker), K3 + K4 committed; writing P3-6 parking\")"}}}], "old_reply": null} {"window_id": "b1_local_albedo_01a117d9_103482", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "maybe! give me a comparison image too. its getting hard navigating all these images sob", "prev_tool_output_snippet": "", "old_think": "I'll tidy things up since it's my own folder—creating an \"old\" subfolder within flash-pfp and archiving the earlier attempts there, keeping just the latest visible. It's low-risk since I made the folder myself, so I'll just do it and mention it afterward. Now I'm moving on to implementing a tight face crop on a dark background.", "tool_calls": [{"id": "toolu_vrtx_01WBDHgjxRyr7WNuKMtmLQDq", "type": "function", "function": {"name": "python", "arguments": {"code": "print(await files.find(\"box|bg|whiten\", \"pfp/make.py\", context=1))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_233afd8b_100218", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nparent here, great attribution, and you're right about the memory, i checked car.rs:394 (each block copied into its own allocation), so main really did free the nodes before the persist.\n\n- apply (a) now, amended into 75c3ad5: pass 2 splits at the first '/' and trusts pass 1's validation. one short comment where it splits, saying why that's safe (both passes read the same immutable blocks, and pass 1 a", "prev_tool_output_snippet": "{\"cell_id\":\"233afd8b5649361f15c3400e8dcf3180/toolu_01ER91UaSt7RG1LJsggYaBMA\",\"status\":\"ok\",\"duration\":3.358,\"output\":\" pass 2: diff over new_record, empty stored 312.3 ns/record (min 304.9)\\n main: leaves + records vec + loop, no db 1642.2 ns/record (min 1600.4)\\n pass 2: diff over new_record, empty stored 316.6 ns/record (min 311.5)\\n main: leaves + records vec + loop, no db 1613.8 ns/record (min 1604.1)\\n pass 2: diff over new_record, empty stored 424.1 ns/record (min 420.1)\\n main: leaves + records vec + loop, no db 1651.2 ns/record (min 1642.8)\\ntest result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 587 filtered out; finished in 18.95s\\n(0, ' M src/backfill/worker/process.rs\\\\n')\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "Pass 2 now runs around 0.3-0.4 µs, bringing the total to about 1.7-1.9 µs versus 1.6-1.65 for main, roughly 0.1-0.24 µs slower. The DbRkey::new call with its Tid regex is still included in that pass-2 timing, which is fine.", "tool_calls": [{"id": "toolu_01S9tGcVuCAZraRBmDYQjEGx", "type": "function", "function": {"name": "python", "arguments": {"code": "rep=\"\"\"big-backfill: (a) is in. the new hash is f91756c [backfill] merge the car against stored records in key order, on 97ba39b (unchanged), on dc315a7, with the same commit message.\n\n- new_record now does `key.split_once('/')`, with the comment \"check_records already ran parse_path on every leaf that has a block, over the same immutable blocks, so its regexes needn't run twice\". a key with no '/' is still an error, never a panic.\n- can pass 2 meet a key pass 1 never validated? not by construction:\n (1) both passes read the same leaves. the whole path runs the same deterministic walk over the same map, which nothing mutates, and the filtered path iterates the same Vec.\n (2) both skip exactly the same leaves before touching the key: the `records.block(cid)` miss, with the same predicate.\n (3) any pass-1 error, including parse_path's, is `?`-ed before the diff runs, so pass 2 never starts on a car with an invalid key.\n i still pinned it, so a future change that drops pass 1's validation fails a test: task::a_car_with_a_key_that_doesnt_parse_writes_nothing. the car holds a valid mst key whose collection isn't an nsid (`notansid/b`, which jacquard's mst accepts, unlike `b@d`) next to a good post. it asserts the error (invalid collection NSID) and that the seeded `old` is the only record. break-check: replacing parse_path in check_records with a plain split -> the backfill succeeds and writes it -> the test fails (the unwrap_err at task.rs:1309).\n- `cargo test --lib`: 587/587 (main 575). clippy --all-targets: nothing new in the touched files.\n- pass_costs is back in the worktree, uncommitted (git status: process.rs modified, nothing else).\n\npass_costs rerun with (a), median ns/record:\nrepo | pass 1 | pass 2 | branch total | main's equivalent | delta\natproto.com | 1398 | 312 | 1710 | 1642 | +68\njay.bsky.team | 1362 | 317 | 1679 | 1614 | +65\npfrazee.com | 1467 | 424 | 1891 | 1651 | +240\n(pass 2 includes DbRkey::new's TID regex, the same as main's loop.) so the doubled work is down from +1.3-1.5 µs/record to +0.07-0.24 µs/record, under 1% of ~29 µs. what's left is the second walk (~0.2 µs) partly offset by not building the records vec.\"\"\"\nr=await mail.submit(\"parent\", rep); print(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_1f711bce_97222", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nrewrite the code comments listed below in dawn's comment style. the style guide is /tmp/comment-pass3/STYLE.md, read it first. it was written for adding comments to code that had none, but here you're rewriting existing ones, so apply the voice rules and the \"when to write a comment at all\" rules. the short version:\n- all lowercase prose (identifiers keep their case inside backticks), plain, like explaining to a friend who can read code\n- say why, o", "prev_tool_output_snippet": "{\"cell_id\":\"1f711bcecfa0fd38aed892984762d46b/call_480667\",\"status\":\"ok\",\"duration\":1.591,\"output\":\"01a1162c-be48-708f-aeb0-8cd480acf754 you can just do two subagents None\\n\",\"value\":\" at 0x1062afc40>\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_416614", "type": "function", "function": {"name": "python", "arguments": {"code": "p = await agents.get(\"01a1162c-be48-708f-aeb0-8cd480acf754\")\nrows = await p.search_messages(\"tunnel.nix\")\nprint(\"tunnel.nix rows:\", rows)\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_05fb08d7_95211", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nparent here. both builders have finished your review fixes: world's are in the 'review fixes (review-1)' section of /tmp/hydrant-knobs/harness-world.md, run's in 'review 2 fixes' of /tmp/hydrant-knobs/harness-run.md (plus a small one in flight: sync not expecting inactive real accounts). review 3, same rules and format (`/tmp/hydrant-knobs/review-3.md`, mail me):\n1. check every blocker (review 1 B1/B2,", "prev_tool_output_snippet": "{\"cell_id\":\"05fb08d76235eb7f7ae0d26614dfc8e9/toolu_015v9tkuw7bbRLqagSZX42tC\",\"status\":\"ok\",\"duration\":0.002,\"output\":\"9\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_016YnAF4gGLh6tNXTbX3HJG7", "type": "function", "function": {"name": "python", "arguments": {"code": "r = await mail.submit(\"parent\", \"\"\"review 3 done: /tmp/hydrant-knobs/review-3.md. 1 blocker (new, from a fix), 9 should fix. every earlier blocker is fixed. code is snapshotted at /tmp/hydrant-knobs/review-3-snapshot/.\n\ntests (mac): lib 22, collect 19, world 19, run 52 all pass. the first run had one run test failing mid-edit (world.rs, the inactive-accounts change in flight); it passed after the 06:03:32 save. clippy --tests is clean. i didn't touch chernobog.\n\nwould a regression get caught?\n- r1 B1: yes for the handlers and /net. no for apply_profile picking up world.json's plc class (no e2e serves a world with net set).\n- r1 B2: yes, all three break checks fail.\n- r2 B1: the steady split is tested. the memory.peak per-phase reset has no test at all, so if it broke, total peak would silently become the lifetime peak. needs a linux-only test or a run-time sanity check.\n- r2 B2, r2 B3: yes.\n\nnew blocker B1: the censoring fix counts every expected-did commit hydrant never emits as a 120 s latency.\n- filtered + HYDRANT_FILTER_COLLECTIONS: every commit outside the filter becomes 120 s, so p50 through max read ~120 s. the run warns but still reports it.\n- live/ceiling arms with FILTER_EXCLUDES: the same, with no warning.\n- the world's empty (noop) commits: same 120 s each.\n- in ceiling, one such commit stays the oldest pending for 120 s and fails the step on lag slope/median, cutting the ceiling.\n- fix: have the world carry op count and collections per commit (send log or live.heads), and expect only commits that should come back. meanwhile, mark empty commits and refuse filtered+FILTER_COLLECTIONS.\n\ntop should-fixes:\n- the run can't choose or record the network profile (world gen defaults to none, nothing in run.json or the report says which).\n- pooled latency columns hide the repeat-to-repeat spread.\n- spindle --rounds phases include shutdown plus a 2 s sleep.\n- KNOWN_ENV is tied to this worktree's hydrant, not the benched binary's rev.\n- `real` applies getRepo ttfb to cheap endpoints too (inflates sparse/filtered).\n- no test for the client catch-up path.\n- sidecars validated by length only.\n- warm_world skips idx/ and the stream files.\"\"\")\nprint(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_387a4136_94016", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nworld: send log now flushes every 100 ms (and on exit). new binary is built at the same path on chernobog; restart serve to pick it up.\n", "prev_tool_output_snippet": "{\"cell_id\":\"387a4136a41170719a9d479084e88009/toolu_01C5jZYhvtLRdG6VqSK6eZR8\",\"status\":\"ok\",\"duration\":0.002,\"output\":\"\",\"value\":\"19340\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_01FVA7T3aMQxYSw8AY8ZNoka", "type": "function", "function": {"name": "python", "arguments": {"code": "print(output.read('387a4136a41170719a9d479084e88009/toolu_01KEmrULZg3JJ2h5rVM1CvjW'))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_b808d1ae_195237", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are `argon-mm-gather-and-plan` (`opencode-go/gemini-4-argon-contributor`), owning **Round 10 Track C: `mm_gather_h` 128-Bit `uint4` Vectorization + Zero-Tail-Waste Threadgroup Sizing (`51.9 ms` in `kprof`)** in `vendor/strata/metal/`.\n\n### 1. Rules\n- **DO NOT spawn any subagents (`agents.self.spawn`).** Do all work directly in your own session.\n- **DO NOT touch `:8080` or run full-model `strata_", "prev_tool_output_snippet": "{\"cell_id\":\"b808d1aecada6590d04c63daa5c42f4b/call_868725\",\"status\":\"ok\",\"duration\":0.499,\"output\":\"clone exit: 0\\nvendor/strata status:\\n A include/strata/core/scr.hpp\\n M metal/CMakeLists.txt\\n M metal/kernels/dense_mm.metal\\n M metal/kernels/gdn.metal\\n M metal/kernels/gdn_prompt.metal\\n M metal/kernels/gr.metal\\n M metal/kernels/gr2.metal\\n M metal/kernels/moe.metal\\n M metal/kernels/moe_mm.metal\\n M metal/kernels/prompt.metal\\n M metal/kernels/qsa.metal\\n M metal/kernels/qsa_prompt.metal\\n M metal/kernels/quant.metal\\n M metal/kernels/router.metal\\n M metal/src/engine/arena_budget.h\\n M metal/src/engine/msl/mtp.metal\\n M metal/src/engine/msl/mtp_chain.metal\\n M metal/src/engine/msl/ple.metal\\n M metal/src/engine/prompt_chain.inc\\n A metal/src/engine/spec_min_p.hpp\\n M metal/src/engine", "old_think": "", "tool_calls": [{"id": "call_1673119", "type": "function", "function": {"name": "python", "arguments": {"code": "# Sync the working tree of vendor/strata into /tmp/argon_r10_gather/strata (excluding build dirs) and commit it as BASE in the scratch repo so `git diff` in scratch gives the exact patch against current vendor/strata working tree!\nshutil.rmtree(\"/tmp/argon_r10_gather/strata\", ignore_errors=True)\njob = run(\"rsync\", \"-a\", \"--exclude=build*\", \"--exclude=.git\", \"vendor/strata/\", \"/tmp/argon_r10_gather/strata/\")\nawait job\nprint(\"rsync exit:\", job.exit_code)\n# Init a git repo in /tmp/argon_r10_gather/strata so git diff produces a clean unified patch against current vendor/strata state\nj1 = run(\"git\", \"-C\", \"/tmp/argon_r10_gather/strata\", \"init\")\nawait j1\nj2 = run(\"git\", \"-C\", \"/tmp/argon_r10_gather/strata\", \"add\", \"-A\")\nawait j2\nj3 = run(\"git\", \"-C\", \"/tmp/argon_r10_gather/strata\", \"commit\", \"-m\", \"base working tree\")\nawait j3\nprint(\"commit exit:\", j3.exit_code)\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_b808d1ae_195237", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are `argon-mm-gather-and-plan` (`opencode-go/gemini-4-argon-contributor`), owning **Round 10 Track C: `mm_gather_h` 128-Bit `uint4` Vectorization + Zero-Tail-Waste Threadgroup Sizing (`51.9 ms` in `kprof`)** in `vendor/strata/metal/`.\n\n### 1. Rules\n- **DO NOT spawn any subagents (`agents.self.spawn`).** Do all work directly in your own session.\n- **DO NOT touch `:8080` or run full-model `strata_", "prev_tool_output_snippet": "{\"cell_id\":\"b808d1aecada6590d04c63daa5c42f4b/call_1673119\",\"status\":\"ok\",\"duration\":2.932,\"output\":\"rsync exit: 0\\ncommit exit: 0\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_2655857", "type": "function", "function": {"name": "python", "arguments": {"code": "print(files.read(\"/tmp/argon_r10_gather/strata/metal/CMakeLists.txt\", start_line=1, limit=120))\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_b808d1ae_195237", "msg_idx": 8, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are `argon-mm-gather-and-plan` (`opencode-go/gemini-4-argon-contributor`), owning **Round 10 Track C: `mm_gather_h` 128-Bit `uint4` Vectorization + Zero-Tail-Waste Threadgroup Sizing (`51.9 ms` in `kprof`)** in `vendor/strata/metal/`.\n\n### 1. Rules\n- **DO NOT spawn any subagents (`agents.self.spawn`).** Do all work directly in your own session.\n- **DO NOT touch `:8080` or run full-model `strata_", "prev_tool_output_snippet": "{\"cell_id\":\"b808d1aecada6590d04c63daa5c42f4b/call_2655857\",\"status\":\"ok\",\"duration\":0.002,\"output\":\" 1 | # metal/ - Strata on Apple Silicon (Metal), MAC-PLAN.md. Its own CMake project like sycl/, macOS only, never part of\\n 2 | # the CUDA / HIP / SYCL builds.\\n 3 | #\\n 4 | # Two parts:\\n 5 | # * the kernel tree (mac-kern): the runtime face src/mtl_rt.*, the MSL kernels kernels/*.metal (compiled at run time),\\n 6 | # CPU references src/ref_*.cpp and the parity / bench programs tests/*.cpp;\\n 7 | # * the engine (mac-design): the shared host sources from ../src, UNCHANGED - include/metal_compat goes first on the\\n 8 | # include path and gives them the CUDA runtime names on Metal, as include/strata/hip_compat does on HIP - over\\n 9 | # the M", "old_think": "", "tool_calls": [{"id": "call_2640157", "type": "function", "function": {"name": "python", "arguments": {"code": "# Configure and build moe_mm_parity in /tmp/argon_r10_gather/strata/build-metal\nj_cfg = run(\"cmake\", \"-S\", \"metal\", \"-B\", \"build-metal\", \"-G\", \"Ninja\", \"-DCMAKE_BUILD_TYPE=Release\", cwd=\"/tmp/argon_r10_gather/strata\")\nawait j_cfg\nprint(\"cmake exit:\", j_cfg.exit_code)\nj_bld = run(\"ninja\", \"-C\", \"build-metal\", \"moe_mm_parity\", cwd=\"/tmp/argon_r10_gather/strata\")\nawait j_bld\nprint(\"ninja exit:\", j_bld.exit_code)\nprint(j_bld.tail(lines=20))\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_8d0a071b_191054", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are `argon-multi-tok-kernels` (`opencode-go/gemini-4-argon-contributor`), owning **Track 2: M5 Metal Kernel Optimization for Multi-Token Speculative Decode (`T = 2..4`) & Prefill (`T = 128..1024`)** in `vendor/strata/metal/kernels/{moe.metal, gemv.metal, moe_mm.metal, qsa.metal, gdn.metal}` and `vendor/strata/metal/src/engine/window.cpp`.\n\n### 1. Rules\n- **DO NOT spawn any subagents (`agents.sel", "prev_tool_output_snippet": "{\"cell_id\":\"8d0a071b6e1fb6d1ab7f3dd7d96c460e/call_2199972\",\"status\":\"ok\",\"duration\":0.005,\"output\":\"CMakeCache.txt\\nCMakeFiles/\\nCTestTestfile.cmake\\nbuild.ninja\\ncmake_install.cmake\\ncompile_commands.json\\nconvert_k256_q2_0\\nggml/\\nheal_k256_q2_0\\nlibmtl_rt.a\\nlibstrata_gpu_metal.a\\nlibstrata_metal_host.a\\nlibstrata_metal_kernels.a\\nroute_parity\\nstrata_window_cli\\nCMakeLists.txt\\n__pycache__/\\ninclude/\\nkernels/\\nprobe/\\nsetup_mac.py\\nsrc/\\ntests/\\ntools/\\n 1 | # metal/ - Strata on Apple Silicon (Metal), MAC-PLAN.md. Its own CMake project like sycl/, macOS only, never part of\\n 2 | # the CUDA / HIP / SYCL builds.\\n 3 | #\\n 4 | # Two parts:\\n 5 | # * the kernel tree (mac-kern): the runtime face src/mtl_rt.*, the MSL kernels kernels/*.metal (compiled at run time),\\n ", "old_think": "", "tool_calls": [{"id": "call_794719", "type": "function", "function": {"name": "python", "arguments": {"code": "j1 = run(\"ps\", \"aux\").pipe(\"rg\", \"strata|llama|metal|bench|python\")\nawait j1\nprint(j1.read()[:2000])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_8d0a071b_191054", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are `argon-multi-tok-kernels` (`opencode-go/gemini-4-argon-contributor`), owning **Track 2: M5 Metal Kernel Optimization for Multi-Token Speculative Decode (`T = 2..4`) & Prefill (`T = 128..1024`)** in `vendor/strata/metal/kernels/{moe.metal, gemv.metal, moe_mm.metal, qsa.metal, gdn.metal}` and `vendor/strata/metal/src/engine/window.cpp`.\n\n### 1. Rules\n- **DO NOT spawn any subagents (`agents.sel", "prev_tool_output_snippet": "{\"cell_id\":\"8d0a071b6e1fb6d1ab7f3dd7d96c460e/call_794719\",\"status\":\"ok\",\"duration\":0.101,\"output\":\"dawn 91123 0.1 0.1 488884432 23904 ?? Ss 6:14AM 0:05.02 /nix/store/qkh877dgks4wrr3ppzbkcj18bamcrcrk-python3-3.11.17/bin/python3 -u /nix/store/l11p79d2wzngx1cv4ikjs7z8088vjqwp-albedo-server-1.0.0/lib/albedo/albedo/priv/python/albedo_kernel.py --run /Users/dawn/.albedo/run/ec5a35abacac634a [\\\"run\\\",\\\"work\\\",\\\"mail\\\",\\\"agents\\\",\\\"paperclips\\\",\\\"files\\\",\\\"memory\\\",\\\"commands\\\",\\\"remote\\\",\\\"colab\\\",\\\"browser\\\",\\\"cua\\\",\\\"view\\\",\\\"web_search\\\",\\\"skills\\\",\\\"mcp\\\"]\\ndawn 17415 0.0 0.0 488786976 544 ?? S 7:05PM 0:00.01 ssh -o BatchMode=yes -o ConnectTimeout=10 -o StrictHostKeyChecking=accept-new -o ControlMaster=auto -o ControlPath=/Users/dawn/.ssh/cm-", "old_think": "", "tool_calls": [{"id": "call_2757871", "type": "function", "function": {"name": "python", "arguments": {"code": "print(files.ls(\"models\"))\nfor d in files.ls(\"models\"):\n p = f\"models/{d.rstrip('/')}\"\n if os.path.isdir(p):\n print(p, files.ls(p))\nprint(files.read(\"scripts/serve_k512_local.sh\")[:2000])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_8d0a071b_191054", "msg_idx": 8, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are `argon-multi-tok-kernels` (`opencode-go/gemini-4-argon-contributor`), owning **Track 2: M5 Metal Kernel Optimization for Multi-Token Speculative Decode (`T = 2..4`) & Prefill (`T = 128..1024`)** in `vendor/strata/metal/kernels/{moe.metal, gemv.metal, moe_mm.metal, qsa.metal, gdn.metal}` and `vendor/strata/metal/src/engine/window.cpp`.\n\n### 1. Rules\n- **DO NOT spawn any subagents (`agents.sel", "prev_tool_output_snippet": "{\"cell_id\":\"8d0a071b6e1fb6d1ab7f3dd7d96c460e/call_2757871\",\"status\":\"ok\",\"duration\":0.007,\"output\":\"K256_reap_l2_sum/\\nK512_iq2_xs/\\nmodels/K256_reap_l2_sum K256-expert-profile.bin\\nK256-metal.gguf\\nK256-metal.gguf.experts\\nK256-q2_0-healed-metal.gguf\\nK256-q2_0-healed-metal.gguf.experts\\nK256-q2_0-healed-metal.gguf.experts.d_bak.bin\\nK256-q2_0-healed-metal.gguf.experts.quant.meta\\nK256-q2_0-metal.gguf.experts\\nSwift-Qwen3.8-Flash-Next-GSQ-RCO-IQ3_S-K256_reap_l2_sum-00001-of-00002.gguf\\nSwift-Qwen3.8-Flash-Next-GSQ-RCO-IQ3_S-K256_reap_l2_sum-00002-of-00002.gguf\\ncal_cache/\\nstrata-k256.json\\ntokenizer/\\nmodels/K512_iq2_xs K512-iq2_xs-metal.gguf\\nK512-iq2_xs-metal.gguf.experts\\nbuild_state.json\\nmtp-q2_0.gguf\\nmtp-q2_0.gguf.report.json\\nmtp_rt/\\nrt/\\nstrata-k512-iq2xs.json\\ntokenizer/\\n ", "old_think": "", "tool_calls": [{"id": "call_702162", "type": "function", "function": {"name": "python", "arguments": {"code": "print(files.read(\"models/K512_iq2_xs/strata-k512-iq2xs.json\")[:2000])\nprint(files.read(\"models/K512_iq2_xs/mtp-q2_0.gguf.report.json\")[:2000])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_892b39b4_209641", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nuser asks: \"organize the repo i wanna push our work somewhere. you can make a readme but please keep it more like here is how to install and its for apple silicon and list every opt we did at the end, dont give any reasoning or anything just list them concisely, our other docs can have those stuff. keep it in the style of ~/proj/chirami or mayer@chernobog:proj/tobi\". read-only inventory task: enumer", "prev_tool_output_snippet": "", "old_think": "", "tool_calls": [{"id": "call_21dfaf1c7e064c6e85fd4f437ddb01e4", "type": "function", "function": {"name": "python", "arguments": {"code": "print(os.getcwd()); print(files.ls('.'))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_892b39b4_209641", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nuser asks: \"organize the repo i wanna push our work somewhere. you can make a readme but please keep it more like here is how to install and its for apple silicon and list every opt we did at the end, dont give any reasoning or anything just list them concisely, our other docs can have those stuff. keep it in the style of ~/proj/chirami or mayer@chernobog:proj/tobi\". read-only inventory task: enumer", "prev_tool_output_snippet": "{\"cell_id\":\"892b39b43bbef018b51d9b4f549d16fd/call_21dfaf1c7e064c6e85fd4f437ddb01e4\",\"status\":\"ok\",\"duration\":0.002,\"output\":\"/Users/dawn/proj/swift1.5-qwen3.8-next-flash-ps-scr-qat-persona\\nPLAN.md\\naudits/\\nbench/\\nblueprint_review.md\\ncolab_a100_pipeline_reference.py\\ndata/\\nmine_llm_isms_from_transcripts.py\\nmodels/\\nqwen38_flash_next_agentic_persona_blueprint.md\\nresults/\\nscripts/\\nvendor/\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_8c3962c3ea534878a3fe372b0adfbe67", "type": "function", "function": {"name": "python", "arguments": {"code": "print(await files.find('^#{1,5} ', 'PLAN.md', max_results=160))\nprint(files.ls('audits'))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_7600028f_209044", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nread-only round39 auditor. user approved upstream v0.1.45 ports. inspect current baseline plus /tmp/v0145_serve_ple.patch and later /tmp/astra_r39_qsa/astra_r39_qsa.patch. focus on prompt cache correctness/caps/mutation, logit_bias caching mutation/concurrency, telemetry fallback, PLE dedup correctness. parent owns PLE; r39-serve-ports owns serve and tokenizer; astra-r39-qsa-rows-and-merge scratch metal. no code edits, commits or GPU/service actions. write audits/r39_opus", "prev_tool_output_snippet": "{\"cell_id\":\"7600028f80577419e16997fd25afcddc/toolu_vrtx_016g4uvv28NWT3E5aMNqY8Ch\",\"status\":\"ok\",\"duration\":0.001,\"output\":\"AGENTS.md\\nBENCH.bat\\nCMakeLists.txt\\nDockerfile\\nLICENSE\\nREADME.de.md\\nREADME.es.md\\nREADME.fr.md\\nREADME.ja.md\\nREADME.md\\nREADME.pt-BR.md\\nREADME.zh-CN.md\\nSECURITY.md\\nSETUP.bat\\nSTART-HERE.bat\\nUPDATE.bat\\n__pycache__/\\nbench/\\nbench.sh\\nbuild-metal/\\nchat.py\\ncmake/\\ndata/\\ndocker-entrypoint.sh\\ndocs/\\nflake.lock\\nflake.nix\\ninclude/\\nmetal/\\nref/\\nrequirements.txt\\nserve/\\nsetup.py\\nsetup.sh\\nsrc/\\nsycl/\\ntests/\\nthird_party/\\ntools/\\nupdate.sh\\nTrue\\n['Centauri', 'FTABHarvest', 'FindNameMap.java', 'K256-phase4-test.gguf.experts', 'K256-phase4-test.gguf.experts.d_bak.bin', 'K256-phase4-test.gguf.experts.quant.meta', '__pycache__', 'albd-snap', 'albedo-output', ", "old_think": "I'm looking at vendor/strata as the target codebase—I should check AGENTS.md and the relevant PLAN.md sections, review git status, and verify whether the patch has already been applied.", "tool_calls": [{"id": "toolu_vrtx_01GTVKxK3CwcDAZohFPdEATL", "type": "function", "function": {"name": "python", "arguments": {"code": "S=\"vendor/strata\"\nj1=run(\"git\",\"status\",\"--short\",cwd=S); j2=run(\"git\",\"log\",\"--oneline\",\"-8\",cwd=S); j3=run(\"git\",\"apply\",\"--check\",\"--stat\",\"/tmp/v0145_serve_ple.patch\",cwd=S)\nawait parallel(j1,j2,j3)\nfor j in (j1,j2,j3): print(j.exit_code, j.tail(lines=40)); print('---')\nprint(files.ls(\"/tmp/astra_r39_qsa\"))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_7600028f_209044", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nread-only round39 auditor. user approved upstream v0.1.45 ports. inspect current baseline plus /tmp/v0145_serve_ple.patch and later /tmp/astra_r39_qsa/astra_r39_qsa.patch. focus on prompt cache correctness/caps/mutation, logit_bias caching mutation/concurrency, telemetry fallback, PLE dedup correctness. parent owns PLE; r39-serve-ports owns serve and tokenizer; astra-r39-qsa-rows-and-merge scratch metal. no code edits, commits or GPU/service actions. write audits/r39_opus", "prev_tool_output_snippet": "{\"cell_id\":\"7600028f80577419e16997fd25afcddc/toolu_vrtx_01GTVKxK3CwcDAZohFPdEATL\",\"status\":\"ok\",\"duration\":0.026,\"output\":\"0 M metal/kernels/quant.metal\\n M metal/kernels/router.metal\\n M metal/kernels/sample.metal\\n M metal/kernels/units.metal\\n M metal/src/engine/arena_budget.h\\n M metal/src/engine/msl/mtp.metal\\n M metal/src/engine/msl/mtp_chain.metal\\n M metal/src/engine/msl/ple.metal\\n M metal/src/engine/prompt_chain.inc\\n A metal/src/engine/spec_min_p.hpp\\n M metal/src/engine/stream.cpp\\n M metal/src/engine/stream.h\\n A metal/src/engine/suffix_window.hpp\\n M metal/src/engine/window.cpp\\n M metal/src/mtl_rt.h\\n M metal/src/mtl_rt.mm\\n A metal/tests/comb_fold_parity.cpp\\n M metal/tests/dense_mm_parity.cpp\\n M metal/tests/expert_parity.cpp\\n M metal/tests/fuse_parity.cpp\\n M metal/test", "old_think": "Server.py has local changes that conflict, so I want to check the diff against HEAD, look at AGENTS.md, and see if there's a fetched tag for the upstream v0.1.45 source via git tags or remotes.", "tool_calls": [{"id": "toolu_vrtx_011PB348Dgbf9zab9HHj5TtU", "type": "function", "function": {"name": "python", "arguments": {"code": "j1=run(\"git\",\"diff\",\"--stat\",\"serve/server.py\",cwd=S); j2=run(\"git\",\"tag\",\"--sort=-creatordate\",cwd=S); j3=run(\"git\",\"remote\",\"-v\",cwd=S); j4=run(\"git\",\"log\",\"--all\",\"--oneline\",\"-15\",cwd=S)\nawait parallel(j1,j2,j3,j4)\nfor j in (j1,j2,j3,j4): print(j.tail(lines=20)); print('---')\nprint(files.read(S+\"/AGENTS.md\",limit=200)[:8000])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_96e02d80_208136", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nBoth Track A and Track B are finished and closed, so the GPU is 100% quiet! Finish your quiet-GPU confirmation of `mtp.metal` and `mtp_chain.metal`, write `/tmp/argon_r35_mtp/argon_r35_mtp.patch` (verify `git -C vendor/strata apply --check`) and `audits/argon_r35_mtp.md`, and mail `parent`!\n", "prev_tool_output_snippet": "{\"cell_id\":\"96e02d80442327df28662aad91570df3/call_2474118\",\"status\":\"ok\",\"duration\":6.375,\"output\":\"=== comb_fold_parity 0 mtp bench ===\\ndevice Apple M5\\nmtp n 1: batched == per-stream bitwise (same tile), == n x (n = 1) bitwise, max |dxn| 0: PASS\\nmtp n 2: batched == per-stream differs (other tile), == n x (n = 1) bitwise, max |dxn| 9.54e-07: PASS\\nmtp n 3: batched == per-stream differs (other tile), == n x (n = 1) bitwise, max |dxn| 9.54e-07: PASS\\nmtp n 4: batched == per-stream bitwise (same tile), == n x (n = 1) bitwise, max |dxn| 0: PASS\\nmtp n 5: batched == per-stream bitwise (same tile), == n x (n = 1) bitwise, max |dxn| 0: PASS\\nmtp n 6: batched == per-stream bitwise (same tile), == n x (n = 1) bitwise, max |dxn| 0: PASS\\nmtp n 7: batched == per-stream bitwise (same tile), == n x ", "old_think": "Generating a patch file for the strata directory modifications is the next step. Visual code review tools will be used to generate the patch. Applying the patch within the specified directory needs verification.", "tool_calls": [{"id": "call_791400", "type": "function", "function": {"name": "python", "arguments": {"code": "# Let's check git diff in /tmp/argon_r35_mtp/strata and write /tmp/argon_r35_mtp/argon_r35_mtp.patch\nj_diff = run(\"git\", \"-C\", \"/tmp/argon_r35_mtp/strata\", \"diff\")\nawait j_diff\npatch_text = j_diff.read()\nfiles.write(\"/tmp/argon_r35_mtp/argon_r35_mtp.patch\", patch_text)\n\nj_check = run(\"git\", \"-C\", \"vendor/strata\", \"apply\", \"--check\", \"/tmp/argon_r35_mtp/argon_r35_mtp.patch\")\nawait j_check\nprint(\"git apply --check exit_code:\", j_check.exit_code, j_check.read())\n\nj_stat = run(\"git\", \"-C\", \"/tmp/argon_r35_mtp/strata\", \"diff\", \"--stat\")\nawait j_stat\nprint(j_stat.read())\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_96e02d80_208136", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nBoth Track A and Track B are finished and closed, so the GPU is 100% quiet! Finish your quiet-GPU confirmation of `mtp.metal` and `mtp_chain.metal`, write `/tmp/argon_r35_mtp/argon_r35_mtp.patch` (verify `git -C vendor/strata apply --check`) and `audits/argon_r35_mtp.md`, and mail `parent`!\n", "prev_tool_output_snippet": "{\"cell_id\":\"96e02d80442327df28662aad91570df3/call_791400\",\"status\":\"ok\",\"duration\":0.073,\"output\":\"git apply --check exit_code: 0 \\n metal/kernels/router.metal | 5 +-\\n metal/src/engine/msl/mtp.metal | 77 ++++++++---\\n metal/src/engine/msl/mtp_chain.metal | 250 +++++++++++++++++++++++++++++++----\\n metal/tests/route_parity.cpp | 105 ++++++++++++++-\\n 4 files changed, 390 insertions(+), 47 deletions(-)\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "Changes across `mtp.metal`, `mtp_chain.metal`, `router.metal`, and `route_parity.cpp` require a final code review for validation. Generating an audit report at the specified path will be followed by submitting the report via mail to the designated recipient.", "tool_calls": [{"id": "call_1985696", "type": "function", "function": {"name": "python", "arguments": {"code": "await parallel(\n view_code(\"/tmp/argon_r35_mtp/strata/metal/src/engine/msl/mtp.metal\", start_line=38, end_line=188),\n view_code(\"/tmp/argon_r35_mtp/strata/metal/src/engine/msl/mtp_chain.metal\", start_line=1, end_line=160),\n view_code(\"/tmp/argon_r35_mtp/strata/metal/src/engine/msl/mtp_chain.metal\", start_line=161, end_line=320),\n view_code(\"/tmp/argon_r35_mtp/strata/metal/kernels/router.metal\", start_line=75, end_line=120),\n)\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_5019821a_176485", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only verification audit of the v2 fixes from `audits/opus_audit_phase0_2_m5_v2.md`:\n1. Verify that all 12 PLAN mismatches in `audits/opus_audit_phase0_2_m5_v2.md` §1b are fixed in `PLAN.md` (§2.7.A #29–#30, §7.1 item 5) and that every number in `PLAN.md` and `summary_comparison` recomputes from `results/phase0_phase2_m5_validation.json`.\n2. Verify that `Window::prompt_gemm_need_bytes()` replaced the `1.36 * ", "prev_tool_output_snippet": "{\"cell_id\":\"5019821a104f0732b4399e7057bca8eb/toolu_01Un8TPJeXR1eBL2HYLo9eqB\",\"status\":\"ok\",\"duration\":2.869,\"output\":\"0 after write+read 1.0\\nevict -> True\\nafter evict 1.0\\nwarm -> True\\nafter warm 1.0\\nnocache-written 0.0\\nwarm -> True\\nafter warm (mapping unmapped immediately) 1.0\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "Evict reports success but doesn't actually drop the page from cache since residency stays at 1.0, while warm correctly brings pages in from 0 to full residency. I want to double-check this with repeated measurements using mincore on a fresh mapping to confirm page cache residency readings are reliable.\n\nActually, mincore does seem to reflect real UBC residency since it reported 0.0 for the F_NOCAC", "tool_calls": [{"id": "toolu_01FhBNFd8ac7j9X5Q2gQ8EUd", "type": "function", "function": {"name": "python", "arguments": {"code": "for f in sorted(os.listdir(\"models/K256_reap_l2_sum\")):\n st=os.stat(\"models/K256_reap_l2_sum/\"+f); print(f, st.st_size/2**30, datetime.datetime.fromtimestamp(st.st_mtime))\nr=await files.find(r\"F_NOCACHE|F_RDAHEAD\", \"vendor/strata/metal/src\", max_results=20); print(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_5019821a_176485", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only verification audit of the v2 fixes from `audits/opus_audit_phase0_2_m5_v2.md`:\n1. Verify that all 12 PLAN mismatches in `audits/opus_audit_phase0_2_m5_v2.md` §1b are fixed in `PLAN.md` (§2.7.A #29–#30, §7.1 item 5) and that every number in `PLAN.md` and `summary_comparison` recomputes from `results/phase0_phase2_m5_validation.json`.\n2. Verify that `Window::prompt_gemm_need_bytes()` replaced the `1.36 * ", "prev_tool_output_snippet": "{\"cell_id\":\"5019821a104f0732b4399e7057bca8eb/toolu_01FhBNFd8ac7j9X5Q2gQ8EUd\",\"status\":\"ok\",\"duration\":0.038,\"output\":\"K256-expert-profile.bin 4.579871892929077e-05 2026-10-15 05:55:02.413802\\nK256-metal.gguf 4.220428466796875 2026-10-15 05:55:05.828126\\nK256-metal.gguf.experts 23.419204711914062 2026-10-15 05:55:30.701741\\nK256-q2_0-metal.gguf 4.220428466796875 2026-10-15 06:36:16.483879\\nK256-q2_0-metal.gguf.experts 15.820327758789062 2026-10-15 06:37:13.110820\\nSwift-Qwen3.8-Flash-Next-GSQ-RCO-IQ3_S-K256_reap_l2_sum-00001-of-00002.gguf 35.23450264334679 2026-10-15 04:28:15.602625\\nSwift-Qwen3.8-Flash-Next-GSQ-RCO-IQ3_S-K256_reap_l2_sum-00002-of-00002.gguf 19.22155326604843 2026-10-15 04:41:30.171014\\nvendor/strata/metal/src/engine/stream.cpp:63: fcntl(fd_, F_NOCACHE, 1);\\nvendor/stra", "old_think": "F_NOCACHE on macOS still leans on cached pages when present, so that doesn't fully explain the slow first-run fill times I'm seeing (3.66 / 6.10) — this isn't simply a caching artifact of the dense GGUF, which checks out at 4.22 GiB (4.53 GB). I'm now looking at the uniform 3.40 GB arena sizing.\n\nThe IQ3_S slice sizes match expectations at 23.42 GiB for the experts file, and Q2_0 checks out at 15.", "tool_calls": [{"id": "toolu_01MvY8Q3Z5f1sxvF6RZXhygk", "type": "function", "function": {"name": "python", "arguments": {"code": "jobs_=[]\nfor i in range(3):\n jobs_.append(run(\"vendor/strata/build-metal/route_parity\"))\n jobs_.append(run(\"vendor/strata/build-metal/route_parity\", env={\"STRATA_METAL_MATH\":\"fast\"}))\nst=run(\"python3\",\"-B\",\"scripts/run_phase0_phase2_m5_validation.py\",\"--self-test\")\nawait parallel(*jobs_, st)\nfor j in jobs_: print(j.argv, j.exit_code, j.tail(lines=6))\nprint(st.exit_code, st.tail(lines=5))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_d658d879_174947", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only verification audit of the fixes applied for `audits/opus_audit_phase1c.md` and the Phase 2 Pareto analysis (`results/phase2_pareto_analysis.json` and `PLAN.md` §7.1).\nDo NOT edit any files except writing `audits/opus_audit_phase1c_v2.md`.\nVerify:\n1. Did `scripts/patch_perplexity.py`, `scripts/run_phase1c_kld.py`, `scripts/assemble_corpus.py`, `scripts/run_phase1c_tier2_eval.py`, `results/phase1c_kld_resu", "prev_tool_output_snippet": "{\"cell_id\":\"d658d8798390c6338dccbaaee8d74c3a/toolu_01EdvNyxfEA3H1vRTts4TEw2\",\"status\":\"ok\",\"duration\":0.039,\"output\":\"258\\nscripts/assemble_corpus.py-10- \\nscripts/assemble_corpus.py-11- os.makedirs(\\\"/content/calib_parts\\\", exist_ok=True)\\nscripts/assemble_corpus.py:12: if not Path(\\\"/content/calib_parts/ukisai/qwen38-agent-sft-combined-100pct.parquet\\\").exists():\\nscripts/assemble_corpus.py:13: hf_hub_download(\\\"ukisai/Qwen3.8-27B-multi-turn-agent-sft\\\", \\\"qwen38-agent-sft-combined-100pct.parquet\\\", repo_type=\\\"dataset\\\", local_dir=\\\"/content/calib_parts/ukisai\\\")\\nscripts/assemble_corpus.py-14- if not Path(\\\"/content/calib_parts/whittle/data/train-00000-of-00051.parquet\\\").exists():\\nscripts/assemble_corpus.py-15- hf_hub_download(\\\"logic65/whittle-distill-qwen3.8-27b\\\", \\\"data/t", "old_think": "I realize clean_tb_prompt also touches the calibration docs, so changing that corpus breaks reproducibility with the calibration_mix_v2 already used for Phase 1a's imatrix/REAP saliency work — those artifacts were built on the old corpus. I also need to reconsider how eval_ops is ordered now that ukisai comes first.", "tool_calls": [{"id": "toolu_01H8KCPnvsvSA37Q7PPiWzDZ", "type": "function", "function": {"name": "python", "arguments": {"code": "j=run(\"git\",\"log\",\"--oneline\",\"-8\",\"--\",\"scripts/assemble_corpus.py\",\"scripts/run_phase1c_tier2_eval.py\",\"results/phase1c_tier2_results.json\",\"results/phase2_pareto_analysis.json\",\"PLAN.md\"); await j; print(j.tail(lines=20))\nj=run(\"git\",\"status\",\"--short\"); await j; print(j.tail(lines=30))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_d658d879_174947", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only verification audit of the fixes applied for `audits/opus_audit_phase1c.md` and the Phase 2 Pareto analysis (`results/phase2_pareto_analysis.json` and `PLAN.md` §7.1).\nDo NOT edit any files except writing `audits/opus_audit_phase1c_v2.md`.\nVerify:\n1. Did `scripts/patch_perplexity.py`, `scripts/run_phase1c_kld.py`, `scripts/assemble_corpus.py`, `scripts/run_phase1c_tier2_eval.py`, `results/phase1c_kld_resu", "prev_tool_output_snippet": "{\"cell_id\":\"d658d8798390c6338dccbaaee8d74c3a/toolu_01H8KCPnvsvSA37Q7PPiWzDZ\",\"status\":\"ok\",\"duration\":0.077,\"output\":\"\\n?? PLAN.md\\n?? __pycache__/\\n?? audits/\\n?? bench/\\n?? blueprint_review.md\\n?? data/\\n?? results/\\n?? scripts/\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "Since there's no git history available, I should check the parent session transcript to see how the tier2 rescore and pareto generation were done, and look for any related script by searching through the parent messages.", "tool_calls": [{"id": "toolu_0149LmPi8xzybHnjRWdV5Q6g", "type": "function", "function": {"name": "python", "arguments": {"code": "par=await agents.get(\"parent\")\nfor pat in [\"phase2_pareto_analysis\",\"v2_opus_1c_fixes\",\"missing_ja_keyword\\\"\",\"88.58\"]:\n r=await par.search_messages(pat)\n print(pat, str(r)[:1500])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_aedfef5c_161542", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "background python cells finished with results unread: aedfef5c5247ad5ae0e0ac1214063d2b/call_233596: status=interrupted, ran 300.007s. output.read(id) reads retained output; await cells.info(id) reads the final status. no user sent this message; use the results if needed, otherwise acknowledge briefly and stay idle.", "prev_tool_output_snippet": "{\"cell_id\":\"aedfef5c5247ad5ae0e0ac1214063d2b/call_269576\",\"status\":\"ok\",\"duration\":0.001,\"output\":\"job finished? False\\ntail: Compiling lexicons v0.0.1 (/private/tmp/tangled-pc/crates/lexicons)\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_183117", "type": "function", "function": {"name": "python", "arguments": {"code": "# Check who holds cargo locks or if mbx is running\njob_ps = run(\"ps\", \"aux\").pipe(\"grep\", \"cargo\")\nawait job_ps\nprint(job_ps.read())\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_aedfef5c_161542", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "background python cells finished with results unread: aedfef5c5247ad5ae0e0ac1214063d2b/call_233596: status=interrupted, ran 300.007s. output.read(id) reads retained output; await cells.info(id) reads the final status. no user sent this message; use the results if needed, otherwise acknowledge briefly and stay idle.", "prev_tool_output_snippet": "{\"cell_id\":\"aedfef5c5247ad5ae0e0ac1214063d2b/call_183117\",\"status\":\"ok\",\"duration\":0.802,\"output\":\"dawn 87305 0.0 0.0 488781536 1296 ?? SNs 11:38PM 0:00.00 grep cargo\\ndawn 86980 0.0 0.8 488824832 202752 ?? SN 11:38PM 0:00.86 /Users/dawn/.rustup/toolchains/1.96.0-aarch64-apple-darwin/bin/cargo build -p gitmirror\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_105741", "type": "function", "function": {"name": "python", "arguments": {"code": "job_rustc = run(\"ps\", \"aux\").pipe(\"grep\", \"rustc\")\nawait job_rustc\nprint(job_rustc.read())\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_d45df64b_123016", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are rewriting and trimming code comments in dawn's voice. Code must not change at all.\nWHERE: /Users/dawn/proj/tangled-scratch (a jj workspace, most of it is the e2e/ typescript harness, plus a little rust, js, nix, toml and compose yaml).\nREAD FIRST: /tmp/comment-pass6/STYLE.md (the voice and the rules). Follow it exactly.\nYOUR LIST: /tmp/comment-pass6/lists/p4.txt. It has file paths and, for e", "prev_tool_output_snippet": "{\"cell_id\":\"d45df64b2f1e8467f62ae78a150509c0/call_110844\",\"status\":\"ok\",\"duration\":0.004,\"output\":\"['pullcomments-results', 'comment-pass6', 'comment-pass3', 'comment-pass4', 'comment-pass5']\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_165757", "type": "function", "function": {"name": "python", "arguments": {"code": "p5_reports = [f for f in os.listdir(\"/tmp/comment-pass5\") if f.startswith(\"report\")]\nprint(\"p5 reports:\", p5_reports)\nif p5_reports:\n print(files.read(f\"/tmp/comment-pass5/{p5_reports[0]}\")[:2000])\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_d45df64b_123016", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nYou are rewriting and trimming code comments in dawn's voice. Code must not change at all.\nWHERE: /Users/dawn/proj/tangled-scratch (a jj workspace, most of it is the e2e/ typescript harness, plus a little rust, js, nix, toml and compose yaml).\nREAD FIRST: /tmp/comment-pass6/STYLE.md (the voice and the rules). Follow it exactly.\nYOUR LIST: /tmp/comment-pass6/lists/p4.txt. It has file paths and, for e", "prev_tool_output_snippet": "{\"cell_id\":\"d45df64b2f1e8467f62ae78a150509c0/call_165757\",\"status\":\"ok\",\"duration\":0.003,\"output\":\"p5 reports: ['report-harness.txt', 'report-access-browse.txt', 'report-social.txt', 'report-repomore.txt', 'report-issues-pulls.txt', 'report-small-specs.txt']\\n 1 | e2e/flow.ts: left 9, rewritten 0, deleted 1\\n 2 | e2e/common.ts: left 7, rewritten 0, deleted 2\\n 3 | e2e/targets.ts: left 8, rewritten 0, deleted 1\\n 4 | e2e/services.ts: left 7, rewritten 0, deleted 0\\n 5 | e2e/ctx.ts: left 4, rewritten 0, deleted 0\\n 6 | e2e/hold.ts: left 3, rewritten 0, deleted 0\\n 7 | e2e/tabs.ts: left 3, rewritten 0, deleted 1\\n 8 | e2e/api.ts: left 4, rewritten 0, deleted 0\\n 9 | e2e/git.ts: left 4, rewritten 0, deleted 0\\n 10 | e2e/browser.global.ts: left 1, rewritte", "old_think": "", "tool_calls": [{"id": "call_93627", "type": "function", "function": {"name": "python", "arguments": {"code": "print(files.read(\"/tmp/comment-pass5/report-issues-pulls.txt\")[:2000])\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_6001b368_116388", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nparent here, go. the design is good, and i agree with the disagreement: capping only the cursor replay is right, markers and lagged catch-ups are live work and capping them would bring the backfill lag back. answers:\n- per reader: yes. note in the commit body that many replayers at once are bounded by connection count, not by this. don't add a shared budget.\n- defaults SPEED=10, FLOOR=20000: ok. i'll f", "prev_tool_output_snippet": "{\"cell_id\":\"6001b3687477ee7f9628ce6898e854f4/toolu_01CTammCbZ3cgjqhrh5j78i5\",\"status\":\"ok\",\"duration\":0.171,\"output\":\"./docs/configuration.md:134:| `STREAM_REPLAY_CHUNK_SIZE` | `0` (auto) | how many events a replay reads from the database per step. auto is 250, half the output queue. values above 500 act like 500, and a step never asks for more than the queue has room for. smaller steps mean more database iterators set up per event |\\n./docs/configuration.md:135:| `STREAM_REPLAY_CHUNK_PAUSE` | `0` | sleep between replay steps, which caps replay at chunk size per pause (250 per `2ms` is about 125k events a second). doesn't touch the live tail. an emergency throttle, leave it at zero otherwise |\\n./docs/specs/block-gc.md:750:- Replay already tolerates an unresolvable body: `read_event_replay", "old_think": "", "tool_calls": [{"id": "toolu_0116y7QZWhyYh8XMBA1drUx7", "type": "function", "function": {"name": "python", "arguments": {"code": "sib = await agents.self.siblings()\nprint([(s.name, s.id) for s in sib])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_6001b368_116388", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nparent here, go. the design is good, and i agree with the disagreement: capping only the cursor replay is right, markers and lagged catch-ups are live work and capping them would bring the backfill lag back. answers:\n- per reader: yes. note in the commit body that many replayers at once are bounded by connection count, not by this. don't add a shared budget.\n- defaults SPEED=10, FLOOR=20000: ok. i'll f", "prev_tool_output_snippet": "{\"cell_id\":\"6001b3687477ee7f9628ce6898e854f4/toolu_0116y7QZWhyYh8XMBA1drUx7\",\"status\":\"ok\",\"duration\":0.019,\"output\":\"[('roundhang', '46d3dd3114532f5027a124baadbbcc55'), ('rename', 'fd1f5f7ca8b0a934fa94508c32934903'), ('roundhang2', '7f97289cafcadc43d5c951b349afceba'), ('rename2', 'b98935f2d1585c5bbb6588485d4e86cc'), ('reviewer', '3d58cefec4d98dd6367ead229f3147c4'), ('reviewer4', '933741fe44d6acf069c1d7c42f258132'), ('comments-ffi', 'df25d02ca558a61259f7c34f83b514d3'), ('comments-backfill', '8b52de9d966fb3c6689e7069e3f11807'), ('comments-control-db', 'b98a2522d274dbd617702de8a7314069'), ('comments-ingest-core', '9445bece23c3a04f6731096b18d5a2f4'), ('comments-spindle', 'db9e1dc0b199f90ad2422d09414b6f49'), ('backfill', '4b4bad37b2ceaa9c8e1aa14ce3e20975'), ('relay', 'e641e7137721288be8dbf7859", "old_think": "", "tool_calls": [{"id": "toolu_01UxmeoKzzbY5Y8Ad1Lxd8AE", "type": "function", "function": {"name": "python", "arguments": {"code": "msg=\"\"\"stream-cap here (branch stream-cap, replay speed cap). heads-up on overlap with stream-encode: in api/stream.rs i only change line 52 (`hydrant.subscribe(query.cursor)` -> a pub(crate) capped variant). in control/stream/indexer.rs i only touch the replay side: event_stream_thread untouched except nothing, EventSource gets one new trait method (`written()`, reads state.db.stream.ids.next()), and read_event_replay_chunk's early-return ReplayChunk gets `scanned: 0`. engine.rs: only replay() + run_stream's catch_up branch, no Live/send/render changes. no reply needed.\"\"\"\nprint(await mail.submit(\"dfffa965893586f5ae4754c036173fbd\", msg))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_0cc3993a_93204", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nyou're `knobs-ingest`, one of three read-only agents taking inventory of hydrant's knobs.\n\n## your knobs\n\nFIREHOSE_WORKERS, FIREHOSE_MAX_FAILURES, CURSOR_SAVE_INTERVAL, ENABLE_FIREHOSE, RELAY_HOST, RELAY_HOSTS, SEED_HOSTS, SEED_POLL_INTERVAL, VERIFY_SIGNATURES, VERIFY_CIDS, VERIFY_MST, REV_CLOCK_SKEW, IDENTITY_CACHE_SIZE, PLC_URL, STREAM_REPLAY_CHUNK_SIZE, STREAM_REPLAY_CHUNK_PAUSE, STREAM_PENDING_E", "prev_tool_output_snippet": "{\"cell_id\":\"0cc3993a0e061d6e0faeecd1f03c6c06/toolu_01M3HQsYRBSMTqJNYwqhcZEc\",\"status\":\"ok\",\"duration\":0.003,\"output\":\" 420 | .repo_metadata\\n 421 | .get(&metadata_key)\\n 422 | .into_diagnostic()?\\n 423 | .map(|bytes| db::deser_repo_meta(&bytes))\\n 424 | .transpose()?;\\n 425 | \\n 426 | if metadata.is_some_and(|m| !m.tracked) {\\n 427 | trace!(did = %did, \\\"ignoring message, repo is explicitly untracked\\\");\\n 428 | self.stats.record_repo_state_outcome(\\n 429 | crate::ingest::firehose_stats::RepoStateLoadOutcome::Drop,\\n 430 | );\\n 431 | return Ok(None);\\n 432 | }\\n 433 | \\n 434 | let repo_state_opt = db\\n 435 | ", "old_think": "I'm realizing new account discovery blocks on resolve_doc (which invalidates cache and forces a network PLC fetch) plus a PDS getRepoStatus probe, all running on the shard thread. During the full network indexer's initial run, almost every DID is new, so each first message incurs these network calls — meaning the number of firehose shard workers directly caps the concurrency and thus throughput of", "tool_calls": [{"id": "toolu_01JBwrbcCKogzB61dNw3um8r", "type": "function", "function": {"name": "python", "arguments": {"code": "print(files.read(\"/Users/dawn/proj/hydrant/src/main.rs\",max_chars=12000))\nprint(files.read(\"/Users/dawn/proj/hydrant/src/lib.rs\",start_line=50,end_line=90))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_0cc3993a_93204", "msg_idx": 6, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nyou're `knobs-ingest`, one of three read-only agents taking inventory of hydrant's knobs.\n\n## your knobs\n\nFIREHOSE_WORKERS, FIREHOSE_MAX_FAILURES, CURSOR_SAVE_INTERVAL, ENABLE_FIREHOSE, RELAY_HOST, RELAY_HOSTS, SEED_HOSTS, SEED_POLL_INTERVAL, VERIFY_SIGNATURES, VERIFY_CIDS, VERIFY_MST, REV_CLOCK_SKEW, IDENTITY_CACHE_SIZE, PLC_URL, STREAM_REPLAY_CHUNK_SIZE, STREAM_REPLAY_CHUNK_PAUSE, STREAM_PENDING_E", "prev_tool_output_snippet": "{\"cell_id\":\"0cc3993a0e061d6e0faeecd1f03c6c06/toolu_01JBwrbcCKogzB61dNw3um8r\",\"status\":\"ok\",\"duration\":0.003,\"output\":\" 1 | use futures::FutureExt;\\n 2 | use hydrant::config::Config;\\n 3 | use hydrant::control::{ApiBind, ApiBinds, DatabasePoisoned, Hydrant};\\n 4 | use std::net::{IpAddr, Ipv4Addr, Ipv6Addr, SocketAddr};\\n 5 | \\n 6 | mod allocator;\\n 7 | \\n 8 | const DEFAULT_API_PORT: u16 = 3000;\\n 9 | const DEFAULT_DEBUG_PORT: u16 = DEFAULT_API_PORT + 1;\\n 10 | \\n 11 | fn default_api_binds() -> ApiBinds {\\n 12 | ApiBinds::try_from_iter([\\n 13 | SocketAddr::new(IpAddr::V4(Ipv4Addr::UNSPECIFIED), DEFAULT_API_PORT),\\n 14 | SocketAddr::new(IpAddr::V6(Ipv6Addr::UNSPECIFIED), DEFAULT_API_PORT),\\n 15 | ])\\n 16 | .e", "old_think": "I'm weighing the cost of RUST_LOG verbosity—debug-level tracing in hot paths like repo state loading and firehose message processing could get expensive across a full network, and even span creation for info-level logging in the relay shard carries overhead when enabled. I should probably just benchmark info versus debug versus warn directly rather than reasoning about it abstractly.\n\nI realize th", "tool_calls": [{"id": "toolu_019rbwdQTJPPoxs2cvPzcp1J", "type": "function", "function": {"name": "python", "arguments": {"code": "print(files.read(\"/Users/dawn/proj/hydrant/src/control/hosts.rs\",start_line=1,end_line=260))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_8500a077_208526", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nBoth Track A and Track B are finished and closed, so the GPU is 100% quiet! Wrap up your quiet-GPU confirmation of `qsa_parity` / `qsa_prompt_parity`, keep only what is a clean net win (or write an empty no-ship patch if `qsa.metal` / `qsa_prompt.metal` are already at their M5 optimum), write `/tmp/argon_r36_qsa/argon_r36_qsa.patch` and `audits/argon_r36_qsa.md`, and mail `parent`!\n", "prev_tool_output_snippet": "", "old_think": "", "tool_calls": [{"id": "call_2500119", "type": "function", "function": {"name": "python", "arguments": {"code": "await agents.progress(\"running quiet-GPU paired A/B confirmation on qsa_prep and qsa_score_mm\")\n\nprint(\"=== Variant 1: Single-barrier norm_rope + nsg=4 ===\")\nfor args in [\n [\"--paired\", \"/tmp/argon_r36_qsa/base_kernels\", \"3000\", \"--tokens\", \"1\", \"--prep-only\"],\n [\"--paired\", \"/tmp/argon_r36_qsa/base_kernels\", \"3000\", \"--tokens\", \"2\", \"--prep-only\"],\n [\"--paired\", \"/tmp/argon_r36_qsa/base_kernels\", \"3000\", \"--tokens\", \"4\", \"--prep-only\"],\n [\"--paired\", \"/tmp/argon_r36_qsa/base_kernels\", \"3000\", \"--tokens\", \"8\", \"--prep-only\"],\n [\"--paired\", \"/tmp/argon_r36_qsa/base_kernels\", \"0\", \"--tokens\", \"1984\", \"--prep-only\"],\n [\"--paired\", \"/tmp/argon_r36_qsa/base_kernels\", \"3000\", \"--tokens\", \"1984\", \"--prep-only\"],\n [\"--paired\", \"/tmp/argon_r36_qsa/base_kernels\", \"3000\", \"--tokens\", \"2048\", \"--prep-only\"],\n]:\n j = run(\"./build-metal/qsa_parity\", *args, cwd=\"/tmp/argon_r36_qsa/strata\", timeout=20)\n await j\n lines = [l for l in j.read().splitlines() if \"FAIL\" in l or \"paired\" in l or \"prep \" in l]\n print(\"\\n\".join(lines))\n\nprint(\"\\n=== qsa_score_mm unroll + qp pre-offset ===\")\nfor p0 in [0, 2051, 8192, 30000]:\n j = run(\"./build-metal/qsa_prompt_parity\", \"--mm-compare\", \"score\", \"1984\", str(p0), \"/tmp/argon_r36_qsa/base_kernels/qsa_prompt.metal\", \"15\", cwd=\"/tmp/argon_r36_qsa/strata\", timeout=20)\n await j\n lines = [l for l in j.read().splitlines() if \"qsa_score_mm\" in l or \"post-timing\" in l]\n print(\"\\n\".join(lines))\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_eecae408_207801", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nAha — look at why hoisting `l`/`sh0`/`sh1`/`g_sb` across `mm_gu3` regressed in `call_3815649`: in `mm_gu3`, `op.run(tA, rw, accg)` and `op.run(tA, rw, accu)` use the M5 cooperative matrix register file at the exact VGPR cliff, so ANY extra variable (`l`, `sh0`, `sh1`, `g_sb`, `dg[8]` for `IQ3_S`) kept live across `op.run` causes register spilling! Recomputing `l`, `sh0`, `boff` inside the `i` loop befo", "prev_tool_output_snippet": "{\"cell_id\":\"eecae408196c3ee3aa072ae02b257f69/call_569916\",\"status\":\"ok\",\"duration\":0.045,\"output\":\"diff --git ametal/kernels/moe_mm.metal bmetal/kernels/moe_mm.metal\\nindex 08a8823..03ac90a 100644\\n--- ametal/kernels/moe_mm.metal\\n+++ bmetal/kernels/moe_mm.metal\\n@@ -769,21 +769,28 @@ template <> struct W8 {\\n };\\n template <> struct W8 {\\n template \\n- static inline void run(P row, int k, threadgroup const uint* tab, thread half4& a, thread half4& b) {\\n- const P bl = row + (k >> 8) * 110;\\n- const int ib = (k & 255) >> 5, hh = (k & 7) >> 2;\\n+ static inline void block(P bl, int k, float d, threadgroup const uint* tab, int hh, thread half4& a, thread half4& b) {\\n+ const int ib = k >> 5;\\n const uint qh = bl[66 + ib], sc", "old_think": "The `git diff` command's behavior with respect to stripping leading slashes from paths is problematic for comparing files using the tool. To ensure the correct files are compared when applying patches, the leading `/` needs to be consistently replaced. Thus, the paths in the command require modification to reflect the intended file locations and preserve the intended file comparison. The next step", "tool_calls": [{"id": "call_4611870", "type": "function", "function": {"name": "python", "arguments": {"code": "clean_patch = raw_patch.replace(\"a/tmp/argon_r34_moemm/base_kernels/moe_mm.metal\", \"a/metal/kernels/moe_mm.metal\")\nclean_patch = clean_patch.replace(\"b/tmp/argon_r34_moemm/strata/metal/kernels/moe_mm.metal\", \"b/metal/kernels/moe_mm.metal\")\nfiles.write(\"/tmp/argon_r34_moemm/argon_r34_moemm.patch\", clean_patch)\n\nj_chk = run(\"git\", \"-C\", \"vendor/strata\", \"apply\", \"--check\", \"/tmp/argon_r34_moemm/argon_r34_moemm.patch\")\nawait j_chk\nprint(\"apply --check exit_code:\", j_chk.exit_code, j_chk.read())\n\nawait view_code(\"/tmp/argon_r34_moemm/strata/metal/kernels/moe_mm.metal\", start_line=768, end_line=810)\nawait view_code(\"/tmp/argon_r34_moemm/strata/metal/kernels/moe_mm.metal\", start_line=905, end_line=960)\nawait view_code(\"/tmp/argon_r34_moemm/strata/metal/kernels/moe_mm.metal\", start_line=1020, end_line=1040)\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_703783d6_207450", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nBoth Track B and Track C are finished and closed, so the GPU is 100% quiet! Keep only the changes in `gr.metal` / `gr2.metal` / `quant.metal` that are proven net wins on the quiet GPU and 100% bitwise identical (e.g. `grd_acc_q8` for `NR == 2` / `_r2` + any `gr_norm` / `gr_norm_comb` wins), write `/tmp/opus_r33_gr/opus_r33_gr.patch` and `audits/opus_r33_gr.md`, and mail `parent`!\n", "prev_tool_output_snippet": "{\"cell_id\":\"703783d67c43d9a2ebf65534ee0e0b4e/toolu_014iZWRyvr9v4LEnN8jkbDHm\",\"status\":\"ok\",\"duration\":0.002,\"output\":\"\",\"value\":\"7076\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_01VNWfHB7ghqoJNbQhswpMBF", "type": "function", "function": {"name": "python", "arguments": {"code": "r=await mail.submit(\"parent\",\"\"\"opus_r33_gr done. patch: /tmp/opus_r33_gr/opus_r33_gr.patch (apply --check OK; gr.metal + fuse_parity.cpp only), report: audits/opus_r33_gr.md, logs: /tmp/opus_r33_gr/final_bench.txt. all bitwise PASS ntok 1..8 (every gr/gr2 entry point) + default fuse_parity ALL PASS, quiet GPU.\nshipped: (1) gr_norm apply-hoist + pre-offset pointers: -6..-11% ntok 1-4, -2..-3% ntok 7-8 (~0.2us/dispatch). (2) GrdUnit packed char4 codes for the _r2 gr_down (q8 + q8f, 4_4 and 8_8): -13..-16% at ntok 7, -10..-15% at ntok 8, neutral 5-6; NR=1 left alone (packed was +1..3% there). (3) fuse_parity bench now 16x128 median-of-pairs (A/A noise ±0.3%) + same-entry A/B for the real engine kernels + gr_norm timing.\nrejected (measured): deq Q8 unroll pragma (0%), gr_up lo->threadgroup staging (+1..6%), gr_up packed dot (+2..8%), u-loop unroll / prefetch / aligned uint loads (+3..66%), gr_norm_comb hoist+gs guard (within noise) -> quant.metal and gr2.metal untouched.\ndiagnosis: ntok1 gr_down_q8 and gr_up_q8 already sit at the ~150 GB/s DRAM roofline (23us for 3.5MB). ntok4 gr_down is DRAM weights + L2 xn re-reads, latency bound; real wins need a different grid/row mapping in window.cpp, which is outside this track's files.\"\"\")\nprint(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_9ba10e96_206945", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "background python cells finished with results unread: 9ba10e966d5446430d74ebaf4bdaec2c/toolu_01BH6EA9NtiZSAAwfZ9fgDXc: status=ok, ran 240.003s. output.read(id) reads retained output; await cells.info(id) reads the final status. no user sent this message; use the results if needed, otherwise acknowledge briefly and stay idle.", "prev_tool_output_snippet": "{\"cell_id\":\"9ba10e966d5446430d74ebaf4bdaec2c/toolu_01TKezYprZwcB6BVbrEKhmVD\",\"status\":\"ok\",\"duration\":0.013,\"output\":\"ok\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "The remaining U items aren't worth running since U is clearly regressing badly. I should cancel the current cell, which is probably still measuring U at IQ2_S 2048, and requeue a better plan instead.", "tool_calls": [{"id": "toolu_0154HTZdZA2aspz37TaHAUTj", "type": "function", "function": {"name": "python", "arguments": {"code": "await cells.cancel(\"9ba10e966d5446430d74ebaf4bdaec2c/toolu_01MYuNQANx3eWfzWNPz2a4ir\")\nprint(output.read(\"9ba10e966d5446430d74ebaf4bdaec2c/toolu_01MYuNQANx3eWfzWNPz2a4ir\")[-300:])\nfor j in list(jobs.values()):\n if j.exit_code is None: await j.stop()"}}}], "old_reply": null} {"window_id": "b1_local_albedo_01a14c0a_204391", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "a background job finished with its result unread: exit_code=0, ran 3.4s, command: apk search -v '*trzsz*'. its handle is jobs['06fd890305b745f18d6f86b163c34b65'] in python; jobs['06fd890305b745f18d6f86b163c34b65'].tail() or output.read('06fd890305b745f18d6f86b163c34b65') reads its output. no user sent this message; use the result if the session's work needs it, otherwise acknowledge briefly and stay idle.", "prev_tool_output_snippet": "", "old_think": "The nix search got interrupted (cell interrupted?). Hmm the cell was \"interrupted\" at 3.674s — maybe because nix search tried network and something... Actually the cell was interrupted — perhaps due to timeouts? Weird. Let's retry: check apk trzsz result, then nix search separately with a timeout.\n\nLet me read the trzsz job result and start nix search in background properly.", "tool_calls": [{"id": "call_00_WhLZk9iGzPBuuYCvavJL8684", "type": "function", "function": {"name": "python", "arguments": {"code": "j = jobs['06fd890305b745f18d6f86b163c34b65']\nprint(j.exit_code, repr(await j.read()))\nnj = run(\"nix\", \"search\", \"nixpkgs\", \"trzsz\", \"--json\", timeout=300)\nprint(\"started\", nj.id)\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_01a14b8c_202715", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "background python cells finished with results unread: 01a14b8c-01f1-78c4-8afb-7c287bb38b8b/call_00_oJIAx4f6LS7pIuulyN8R8251: status=ok, ran 123.399s. output.read(id) reads retained output; await cells.info(id) reads the final status. no user sent this message; use the results if needed, otherwise acknowledge briefly and stay idle.", "prev_tool_output_snippet": "", "old_think": "", "tool_calls": [{"id": "call_00_ET_pTvNbWefrdP4pWb3jdpu3926", "type": "function", "function": {"name": "python", "arguments": {"code": "print(output.read(\"01a14b8c-01f1-78c4-8afb-7c287bb38b8b/call_00_oJIAx4f6LS7pIuulyN8R8251\")[:2000])\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_3b095e8d_202412", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nQuick finding from Track A (`opus-quant-units-and-dq-f16`): in `mm_gu3` for `T_IQ2_XS` specifically, the kernel is ALU-bound, so `popcount` (`sign4_iq2xs`) adds ALU instructions and slows `W8` by `+1.5..+3.9%` vs `ksg(tab, 1024, v0 >> 9)` (`threadgroup const uchar*` load), whereas for `T_IQ3_XXS` `popcount` is `-4%` faster! So in `W8`, keep `ksg(tab, 1024, ...)` (and test `q = (devi", "prev_tool_output_snippet": "{\"cell_id\":\"3b095e8d5322822d06798030a6b4be9e/call_3187648\",\"status\":\"ok\",\"duration\":0.007,\"output\":\" PID ELAPSED STAT %CPU %MEM COMMAND\\n29099 00:35 SNs 2.1 9.9 /tmp/opus_r23_quant/strata/build/gemv_parity --bench --pack Q2_0 --ntok 1\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_2783732", "type": "function", "function": {"name": "python", "arguments": {"code": "j_ps = run(\"ps\", \"-Ao\", \"pid,pcpu,pmem,command\").pipe(\"rg\", \"parity|bench\")\nawait j_ps\nprint(j_ps.read())\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_d959db65_202360", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nQuick tip: `moe_mm_parity` has a fast `--ab BASE_DIR` flag (`moe_mm_parity --v3 --tile 16,32,32,4 --dtile 64,32,2 -T 64 --ab /path/to/base_kernels`) that skips the slow single-threaded CPU fp64 reference and compares GPU baseline vs GPU candidate bitwise (`memcmp == 0`) in `< 1s`!\n", "prev_tool_output_snippet": "{\"cell_id\":\"d959db6509b7e355d288b930d6614e0f/toolu_011ngMGH5UPe2ibuvHrNc6JR\",\"status\":\"ok\",\"duration\":50.003,\"output\":\"\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_01MdMKnG3heRAhXt44ZsEYNR", "type": "function", "function": {"name": "python", "arguments": {"code": "await asyncio.sleep(55)\nprint(output.read('d959db6509b7e355d288b930d6614e0f/toolu_015tPq5U7iMriQktHqzyhJtD')[-3000:])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_cf55493f_201582", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nGood catch on `router_route` 512-thread register pressure! Drop the `route_body` `v[16]` unroll since it increases VGPR pressure across the 512-thread GEMV phase; keep `swiglu_prep` (`64 -> 0 B` TG mem, `1 -> 0` barriers, `constant` `glue_q2s`/`glue_p4s`) + any winning `moe_combine_sh` change, and feel free to use `timeout=20` for `fuse_parity` (cold Metal shader compilation takes ~6s).\n", "prev_tool_output_snippet": "{\"cell_id\":\"cf55493fcbcac8298b84302f486736cb/call_f1eeecbf42184977abfa61c8ff247a0f\",\"status\":\"ok\",\"duration\":0.089,\"output\":\" 1400 | r.args = {mtl::Arg::B(logits_), mtl::Arg::B(ids_), mtl::Arg::B(wts_), mtl::Arg::B(plan_), mtl::Arg::V(a),\\n 1401 | stream_ ? mtl::Arg::B(st_->smap(), (size_t) l * 512 * 4) : mtl::Arg::B(rcounter_)};\\n 1402 | r.tg[0] = 512;\\n 1403 | }\\n 1404 | push(ds, r);\\n 1405 | if (sigs_) sigs_->push_back((int) ds.size()); // the handshake starts: the routing is read\\n 1406 | auto shared_prep = [&] {\\n 1407 | GlueArgs ga{NFF, MAXT, N, TOPK};\\n 1408 | mtl::Dispatch d;\\n 1409 | d.p = P(lib_, \\\"swiglu_prep\\\", {}, \\\"swiglu_prep\\\");\\n 1410 | ", "old_think": "", "tool_calls": [{"id": "call_f6bdc4b2a666447f99082629472509ae", "type": "function", "function": {"name": "python", "arguments": {"code": "print(await files.find('NFF\\s*=|#define NFF','vendor/strata/metal/src/engine/window.cpp',max_results=10))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_90c73f61_197736", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nGreat catch on `rv` layout and grid! Look at lines 267-275 vs 294-298 & 380-384 in `qsa_flash`: in each chunk, `(uint(max(id, 0)) * QKV + g) * QD` and `id >= 0 ? float(ks_tg/vs_tg) : 0.0f` are recomputed 24 times per thread across 128 threads = 3,072 times per chunk for only `QCH = 64` cells! If `tid < QCH` at lines 267-275 stores `cid[tid] = int((uint(max(id, 0)) * QKV + g) * QD)` (byte offset!) and z", "prev_tool_output_snippet": "{\"cell_id\":\"90c73f618786903e5d89d6712c181e53/call_fc4f85f46fb647569478b9cd85948b7d\",\"status\":\"ok\",\"duration\":0.024,\"output\":\"apply 0 \\n{'baseline_kernel': '19f364f8de572ade4f56bafb188a1a87bc28febde23fbb99d34ad3e0bade8c6b', 'candidate_kernel': '9b5a7d11e9fab9fc37840ffac69ee9432192dc74e0e8418d9d5eada5d84044a7', 'evaluator': 'e65e20c5467a78b64a07715d6d806c2ddfde6ee1e0c24df8c9a64447bec650a2', 'vendor_revision': '296b59d2f73c8f04a805df29c2fa97655adace78'}\\n\",\"value\":\"{'id': '28dadb921a237b323c1633b7e1de31d5', 'to': '01a13b1a-33da-751e-98e8-0a6169ebba1b', 'name': '[scheduled heartbeat #2] Check all active optimization tracks, subagent mail/pr…', 'status': 'queued'}\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_a2d0087df36d4ace809fc4ccb3dd5c47", "type": "function", "function": {"name": "python", "arguments": {"code": "ps=run('ps','-axo','pid,comm,args'); await ps; print('\\n'.join(line for line in ps.read().splitlines() if any(x in line for x in ['parity','strata_window_cli','qsa_flash','metal_bench'])))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_7cf6e6dc_196970", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nBoth Track A and Track B have finished and closed, and you've proven cleanly that `dq_f16` (`orig_64`) already saturates M5's 134-156 GB/s DRAM ceiling (and `fmt::TAB > 1` is false for all 13 `dq_f16` formats). Please wrap up `/tmp/argon_r13_dqflat/argon_r13_dqflat.patch` + `audits/argon_r13_dqflat.md` (with your `--dq-ab` benchmark in `dense_mm_parity.cpp` and removing the dead `tab`/`load_tab`/bar", "prev_tool_output_snippet": "{\"cell_id\":\"7cf6e6dc51ec449c102dde4b6d147f37/call_3119264\",\"status\":\"ok\",\"duration\":0.002,\"output\":\"Wait: look at why `2d_128 / 2d_160 / 2d_256` with `uint3 gid [[thread_position_in_grid]]` wins on EVERY shape without a single regression!\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_803010", "type": "function", "function": {"name": "python", "arguments": {"code": "await agents.progress(\"Running full 13-format parity + paired A/B benchmark and assembling patch & report\")\n\n# Let's check what happens if we use `const int tg = std::min((u + 31) / 32 * 32, 256);` (where `u = n_in / pg_unit(type)`):\n# Let's trace `tg` and `(u + tg - 1) / tg` for every `n_in` and `UNIT`:\n# 1. `n_in = 2560, UNIT = 32` (`u = 80`):\n# `tg = min((80 + 31)/32 * 32, 256) = 96`! `grid = (1, n_out), tg = 96`!\n# Wait: for `u = 80`, in our sweep above, how did `2d_96` vs `2d_128` vs `2d_160` vs `2d_256` compare on `IQ4_XS` (`u = 80`)?\n# Look at `IQ4_XS` (`unit = 32, u = 80` on `n_in = 2560`):\n# `2d_96`: 612.9, 509.1, 262.5, 22.3, 17.5, 3.1, 2.1 -> total 56.89 ms\n# `2d_128`: 612.5, 508.8, 262.4, 22.1, 17.3, 2.8, 1.9 -> total 56.79 ms\n# `2d_160`: 612.4, 508.2, 262.0, 22.0, 17.3, 2.9, 2.0 -> total 56.82 ms\n# `2d_256`: 611.7, 508.2, 261.8, 22.0, 17.2, 2.8, 1.9 -> total 56.72 ms\n# WAIT A SECOND!\n# Why is `2d_128` (`1` TG of `128` threads per row) slightly faster than `2d_96` (`1` TG of `96` threads per row) on `u = 80`?!\n# Because for `IQ4_XS` (`TAB = 256`), in `load_tab(tab, tid, nth)`:\n# When `nth = 128`, `256 / 128 = 2` exact iterations per thread (every thread loads 2 entries)!\n# When `nth = 96`, `256 / 96 = 2.67` iterations (threads 0..63 load 3 entries, threads 64..95 load 2 entries — divergent loop trip count)!\n# AND when `nth = 256`, `256 / 256 = 1` iteration per thread!\n# AND for `IQ3_S` (`unit = 16, u = 160` on `n_in = 2560`):\n# `2d_160` (`1` TG of `160` threads = exact `5` simdgroups, `0` wasted threads!) or `2d_256` (`1` TG of `256` threads = `512 / 256 = 2` exact iterations in `load_tab`) is `55.24 - 55.41 ms` vs `55.92 ms`!\n# Wait: why did `2d_256` beat EVERY other candidate across `IQ4_XS`, `IQ3_S`, `Q8_0`, and `Q2_0`?!\n# Let's check `2d_256` (`grid = ((u + 255) / 256, n_out), tg = 256`, or `std::clamp((u + 31) / 32 * 32, 64, 256)` vs `2d_160` vs `2d_256`) across all 13 formats!\n"}}}], "old_reply": null} {"window_id": "b1_local_albedo_f1302ba5_196841", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nKey M5 (`coop_k4`) layout insight for both `gemm_hc_down` and `gemm_swiglu_up`: on M5, `acc` holds 4 consecutive columns `c, c+1, c+2, c+3` at the SAME row `t` in `acc[i], acc[i+1], acc[i+2], acc[i+3]` (just like `gemm_hc_up_reg`!). Because `hc_lr = 320`, `hc = 4`, and `NFF = 640` are all multiples of 4 (and `c` is 4-aligned), iterating `for (uint16_t i = 0; i < acc.get_capacity(); i += 4)` lets you do", "prev_tool_output_snippet": "{\"cell_id\":\"f1302ba59d84e757037ff08d74d92e21/toolu_01EW29Jp7NPLQAEuQdTjLee4\",\"status\":\"ok\",\"duration\":0.003,\"output\":\"ok\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_01WN77anPq638VihygrWtNv2", "type": "function", "function": {"name": "python", "arguments": {"code": "r=await mail.submit(\"parent\", \"\"\"r13 track A done. patch: /tmp/opus_r13_hcdown/opus_r13_hcdown.patch (applies cleanly with `git -C vendor/strata apply --check`; touches prompt.metal, comb_fold_parity.cpp, and window.cpp only at 3084/3168/3372-84/3558-90). report: audits/opus_r13_hcdown.md\n\n- parity: `comb_fold_parity 0 epi` 112/112 bitwise memcmp==0 (T=1,7,64,256,512,1024,1983,2048 x 7 tiles x both kernels). old comb_fold checks, hcup and arena_budget_test pass too. caveat: arena_budget_test doesn't actually exercise prompt_gemm_need_bytes; need==need_bytes is only checked at runtime in prompt_gemm_init, and I verified it by reading the code (both sides key p.V on coop_k4), not by running it.\n- both kernels are M5-only (K4 layout, half4/float4 epilogue). my scalar per-element version was 1-2% slower than unfused, so I dropped it. non-M5 keeps the old path and the full-size p.V.\n- swiglu_up: real win for T>160. T=1024: -11.5% (-3.2 ms/chunk). T=2048: -2.8%. T=256-512: -6..-12%. it loses at T<=160 (+7..+34%, the gate and up GEMMs no longer overlap), so it's gated to T>160. correction to the brief: it saves 48 dispatches but 0 barriers (up now waits for gate; still 2 barriers per layer).\n- hc_down: the fusion itself is about neutral (+-1%, noise). the ceiling is small: epi+barrier costs only 2.9 ms/chunk at T=2048 against a ~115 ms K=10240 GEMM. what it does give: -96 dispatches, -96 barriers, -2.65 MB p.V. the big small-T wins (-13..-27% at T<=192, -4..-5% at 384-512) come from tile choice (16_64_2 / 32_64_2 / 32_128_4), and plain gemm_f16 gains the same. side finding for whoever owns the gemm selector (3301-3326): 16_64_2 beats 64_64_4 at M<=192 for the HC-down shape.\n- not touched: the !comb_fold (DUMP_MOE) shared-expert copy at ~3622, which is outside my range.\"\"\")\nprint(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_2a7300c1_194675", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\ntrack b done with gpu. thanks; you can resume. final paired confirmation took ~1s total wall.\n", "prev_tool_output_snippet": "{\"cell_id\":\"2a7300c110a28f6e33279195219adf4d/toolu_017hz28pEdPdHG2aB2u4EMSL\",\"status\":\"ok\",\"duration\":45.003,\"output\":\"IQ2_XS {'basek': (23962.7, 23968.6), 'k_scb': (23342.5, 23417.7), 'k_pcb': (23946.5, 23968.4)}\\nIQ2_S {'basek': (29208.4, 29223.4), 'k_scb': (29280.5, 29282.3), 'k_pcb': (29290.7, 29296.0)}\\n\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_01Pea6cLe7ehBCwQpLUk8w6f", "type": "function", "function": {"name": "python", "arguments": {"code": "await asyncio.sleep(15); print(output.read('2a7300c110a28f6e33279195219adf4d/toolu_01GeNRRZhZvnRpg9ip2w3f5d'))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_e2ab735c_189748", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nGPU and SSD are 100% yours and completely idle from here on out (our 16K-128K long-context decode sweep just finished, and :8080 is stopped so you have the full 24 GB RAM + M5 GPU + NVMe to yourself). That 34% -> 10% miss drop from next-layer router lookahead in prompt_chunk is awesome — keep going!\n", "prev_tool_output_snippet": "{\"cell_id\":\"e2ab735ca8ae8e1e413c646f5f474ccc/toolu_01HXrSaucDuZaiW2rCRWTq4y\",\"status\":\"ok\",\"duration\":45.003,\"output\":\"default {'GPU': 1972.1, 'pg:gemm_f16_128_64_4 x517': 533.6, 'pg:mm_gu3_22_16_32_32_4 x34': 441.5, 'pg:mm_down3_42_16_64_32_2 x48': 165.1, 'pg:mm_gu3_16_16_32_32_4 x12': 130.2, 'pg:gemm_hc_up_64_64_4 x96': 73.2, 'pg:mm_combine x48': 41.7, 'pg:mm_gu3_21_16_32_32_4 x2': 34.3, 'pg:mm_gather x48': 15.6, 'pg:gemm_f16_64_32_4 x120': 5.9, 'pg:mm_place x48': 2.4, 'pg:mm_scan x48': 0.2, 'pg:mm_hist x48': 0.1, 'pg:mm_clear x48': 0.0, 'chunk': 29874.0}\\nnopred {'GPU': 1994.6, 'pg:gemm_f16_128_64_4 x470': 607.4, 'pg:mm_gu3_22_16_32_32_4 x34': 511.0, 'pg:mm_down3_42_16_64_32_2 x48': 168.5, 'pg:mm_gu3_16_16_32_32_4 x12': 154.8, 'pg:gemm_hc_up_64_64_4 x96': 78.9, 'pg:mm_combine x48': 41.3", "old_think": "The noise here is huge, likely thermal throttling on the M5 Air skewing timing order effects, so tm32_gu4 doesn't show a clear win either — down case actually got worse. Avenue B isn't panning out; I should wait for the tm32_gu3 results instead.", "tool_calls": [{"id": "toolu_01TYghmkr1QgGa43QWyLDTqA", "type": "function", "function": {"name": "python", "arguments": {"code": "await asyncio.sleep(20)\nprint(output.read('e2ab735ca8ae8e1e413c646f5f474ccc/toolu_01G9ChJ5xevMqTAM3vxBPvvt')[-700:])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_1c00a44b_188735", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "background python cells finished with results unread: 1c00a44b01801ae4457e3ec2653a28ca/toolu_01JVBAS3qhYY1PtWLEDdf9Yd: status=ok, ran 540.831s. output.read(id) reads retained output; await cells.info(id) reads the final status. no user sent this message; use the results if needed, otherwise acknowledge briefly and stay idle.", "prev_tool_output_snippet": "", "old_think": "", "tool_calls": [{"id": "toolu_01S1z7FkBHQeCZrF2MEcyszW", "type": "function", "function": {"name": "python", "arguments": {"code": "print(output.read(\"1c00a44b01801ae4457e3ec2653a28ca/toolu_01JVBAS3qhYY1PtWLEDdf9Yd\",0,3000))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_acb12310_188204", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\ngo — :8080 is stopped right now, so feel free to run your 1-pass STRATA_METAL_DUMP_MOE on K512-iq2_xs-metal.gguf (with STRATA_METAL_ARENA_GB=3.4)! Thanks for catching those token IDs in vocab.json too.\n", "prev_tool_output_snippet": "", "old_think": "Good, I can run the K512 dump. I should check how these dumps were originally produced—searching the audit plan for the STRATA_METAL_DUMP_MOE reference to see what strata_window_cli arguments were used.", "tool_calls": [{"id": "toolu_01QQXwqmWamfyfeaCGwLkguL", "type": "function", "function": {"name": "python", "arguments": {"code": "r=await files.find(\"STRATA_METAL_DUMP_MOE\", \".\", context=2, max_results=20, literal=True, glob=\"*.{md,sh,py,txt,json}\")\nprint(r)\nprint(files.read(\"vendor/strata/metal/src/engine/window.cpp\",start_line=2508,end_line=2580))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_68b40c6a_186517", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nQuick update: `phase4-contrastive-persona-flash` just finished `data/phase4_contrastive_persona_vn.jsonl` (70 contrastive pairs across `chuuni_vn_banter`, `direct_thought_anti_opener_slop`, `silent_tool_anti_narration`, `rtuning_abstention_and_ja`, and `strict_voice_override`), and we already dumped the real 48-layer Strata Metal states to `models/K256_reap_l2_sum/cal_cache/p4_contrastive_vn.{R_post47,", "prev_tool_output_snippet": "{\"cell_id\":\"68b40c6a3e95947f87834e193245aff8/toolu_01SearspUdczzNRFewQQbWKw\",\"status\":\"ok\",\"duration\":1.875,\"output\":\"0 \\n\",\"value\":\" at 0x108ab5940>\",\"truncated\":false}", "old_think": "The job is bound even though it printed a coroutine — not an issue, and the vocab path resolves correctly to D/vocab.txt with the gguf path relative to the repo's working directory. I'll start drafting the report while waiting on the job to finish.", "tool_calls": [{"id": "toolu_018qH5GEeA5doxdDrUM5tMBk", "type": "function", "function": {"name": "python", "arguments": {"code": "await agents.progress(\"part A done (patch + probe pass); running the exact head-row persona solver on p4_contrastive_vn dumps now\")\nawait job; print(job.exit_code, job.duration); print(job.tail(lines=40))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_4229337a_181214", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nread /tmp/privsync/cq-brief-cq-xrpc.md and do exactly what it says. report back with mail.submit('parent', ...) when done.\n\nWHEN DONE: await mail.submit(\"parent\", ).\n", "prev_tool_output_snippet": "{\"cell_id\":\"4229337a1de86a45fc408fd720b5f9e6/toolu_01Lr3kzh6UUAxqZF4nXTzvMM\",\"status\":\"ok\",\"duration\":0.094,\"output\":\"222939\\n# rewriting comments in dawn's style\\n\\nyou are cutting and rewriting comments that already exist, so the code keeps working and readers keep every fact they need.\\n\\n## base every comment on the code, not on the old comment\\nre-read the code under the comment and write what you find there. do not take the old comment and reword it, shrink it or translate it into the voice. a reworded narration is still narration. the old text is only a hint about where to look, and if the code doesn't show the thing it claims, the comment was wrong, so drop it. a comment you write comes from what the code does that you wouldn't guess, never from what the old comment said.\\n\\n## the", "old_think": "That's a large diff, so I should check the file stats first before diving in to be more targeted about what to review.", "tool_calls": [{"id": "toolu_01UkinCh9akiTwCj4nC4SgsJ", "type": "function", "function": {"name": "python", "arguments": {"code": "j=run(\"jj\",\"diff\",\"--stat\",\"--from\",\"next-dev\",\"--to\",\"0bd5591e6b01\",\"--\",\"knot2/crates/knot-xrpc/src\",cwd=W);await j;print(j.read())"}}}], "old_reply": null} {"window_id": "b1_local_albedo_c5cf3e52_180805", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nread /tmp/privsync/m2/brief-review-glm.md and do exactly what it says (read-only review). report back with mail.submit('parent', ...) when done.\n\nWHEN DONE: await mail.submit(\"parent\", ).\n", "prev_tool_output_snippet": "{\"cell_id\":\"c5cf3e52d916aabe3b5cb09042fbca41/call_302741dc4eef49a6a69f62f9\",\"status\":\"ok\",\"duration\":0.004,\"output\":\"16714 chars written\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "call_ae673a95c1984a40b149fd16", "type": "function", "function": {"name": "python", "arguments": {"code": "await mail.submit(\"parent\", \"\"\"review done, full report at /tmp/privsync/m2/review-glm.md (read-only, rev yttukyuk).\n\nverdict: no content leak. one existence oracle, two by-design member refusals, three nits.\n\nLEAK (low) reserveKey and createRepo-with-did answer 409 \"that repo DID is already hosted\" from owner_of() alone, before any read_grant (knot-xrpc/src/repos.rs:95-104 and :574-591). an authenticated knot member can distinguish a hosted private repo did (409) from a free one (200/400). low because the did must already be known and PLC genesis already publishes did->knot (accepted D-decision), so the only marginal bit is \"still hosted vs deleted\". fix: gate the conflict on read_grant(viewer) and fold unreadable repos into the reservation path.\n\nREFUSES MEMBER (both deliberate fail-closed, flagging so nobody \"fixes\" them into distinguishable answers): warming projections make members read as strangers during boot; ssh-key reads only work once keyfill has read the member's keys (reads never fetch keys outbound, pushes do probe). self-heals on the keyfill sweep.\n\nNITS: mintToken happily mints org.tangled.repo.fetch repo tokens whose act claim verify_addressed ignores, so they 404 as git credentials (footgun, not a hole); exec.rs:836's unmatched-on-private guard falls through to naming candidates if visibility reads Warming (unreachable today); getRepoStatus's PLC-deleted branch is fine as implemented.\n\nchecked clean, with per-surface notes in the report: all reads.* routes, the whole atproto surface (listRepos pages public_repos with cursor over the same list, no count leak), blobs (evict on delete), social/collaborators (grant-first, #101/#102 fixed), git https incl receive-pack (auth before resolve before pack cache, one shared Basic realm), lfs batch+objects both directions, ssh all four services (byte-identical output to missing, no names, advertise-after-authorize), firehose (every publish site visibility-gated, replay public-only, seq gaps not countable), create/delete/fork/import lifecycle (D2 closes #109 the strong way, #110 internal grant), all background workers, warming answers, rate-limit buckets, caches, and timing shapes. ledger #100-#111 all resolved in this stack.\n\ntests reviewed but not run (machines busy): private_https.rs, private_read.rs, ssh_push.rs reefs fixtures, knot-xrpc tests.rs firehose/listRepos/delete tests, knot-acl rule matrix.\"\"\")"}}}], "old_reply": null} {"window_id": "b1_local_albedo_103ecd3f_176147", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only audit of Phase 0 + Phase 2 local M5 Air validation and Strata Metal optimization:\n1. `scripts/patch_strata_metal.py`, `scripts/prepare_strata_k256.py`, and `vendor/strata/metal/src/convert_k256_q2_0.cpp`: verify dynamic `n_expert` (`K=256`) handling in `router.metal`, `moe.metal`, `prompt.metal`, `stream.cpp`, `window.cpp`, and `prompt_chain.inc`; verify MoCE cache-prior reranking (`STRATA_METAL_MOCE_BO", "prev_tool_output_snippet": "{\"cell_id\":\"103ecd3fd44cbdd586eac11eaf03b5e0/toolu_018c6vnkQcAvv2cdUsH8M4aj\",\"status\":\"ok\",\"duration\":0.017,\"output\":\"1079 144\\nhc 290 1.27926272 pages 1.27926272\\nembd 23 0.3377152 [2560, 248320]\\nlive 788 2.89744128 pages 2.903638016\\nmax_dense_end 4.53165056 min_exp_off 4.53165056 file 4.53165056\\n[('blk.0.ffn_gate_inp.weight', 0, [2560, 256]), ('blk.0.ffn_gate_inp_shexp.weight', 0, [2560])]\\ndense total 4.5144192\\nq8 size 679.60832\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "I'm double-checking the numbers: hc BF16 plus embedding sizes line up with the hardcoded 1.60 GB value (actual 1.62 GB), the live/page-rounded figure matches the locked 2.90 GB, and Q8 and dense sizes both check out. I also note that min_exp_off equaling the file size means the expert offsets extend past it.\n\nBut then I realize the hc pages were read via direct pread with F_NOCACHE when streaming,", "tool_calls": [{"id": "toolu_013spMPHk241FTebVfnyxvec", "type": "function", "function": {"name": "python", "arguments": {"code": "j=run(\"git\",\"-C\",\"vendor/strata\",\"show\",\"HEAD:metal/src/engine/stream.cpp\"); await j\nup=j.read(); i=up.find(\"bool ExpertStream::load_dense\"); print(up[i:i+2200])"}}}], "old_reply": null} {"window_id": "b1_local_albedo_6b3dcc60_175599", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only verification audit of all 9 items in `audits/opus_audit_phase3_prep_v2.md` §fix list:\n1 & 2. `scripts/prepare_phase3_sft_data.py` `_strip_emoji_preserving_layout` (B2' & B3'): verify that global whitespace/punctuation regexes are gone, `code_fences_altered == 0` across all 140 fenced Gemini reference turns, and aligned fences (`x = 1`), padded tables (`| name | kld |`), 4-space i", "prev_tool_output_snippet": "{\"cell_id\":\"6b3dcc60eceaa2bd1b6eeac521813304/toolu_01MkKPwzTrqPZZnkh6hnSd66\",\"status\":\"ok\",\"duration\":0.002,\"output\":\"9806\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_01Fo3MifgqanPmVd6G1Qa5av", "type": "function", "function": {"name": "python", "arguments": {"code": "r=await mail.submit(\"parent\",\"\"\"NOT PASS: one new major bug. 8 of 9 items pass. full report: audits/opus_audit_phase3_prep_v3.md\n\n- all 3 self-tests pass with python3 -B (0.07 s / 0.08 s / 0.71 s). no pyc files left in the repo.\n- B2'/B3' pass: 0 of 140 fenced live gemini turns have altered fences (658 turns, fresh run). aligned fences, padded tables, 4-space code, ( ; ω ; ) and `a ; b` all survive when an emoji is stripped.\n- items 3, 4 and 6–9 pass: templates are free of every banned/phase3/phase4/surface phrase. M1' gives 0 false positives on 14 probes (I can confirm, I can't, I cannot, Rust or Go, keep-or-migrate, ...), and sentence-initial 'Or do you want me to' is still stripped. the flat alias list is any-of, the おそらく helper is gone, the (type, bytes) tuple is mandatory, fullmatch and dir fsync are in, PLAN says 96+96=192, the compiler fallback is in, the miner docstring is fixed.\n\nthe new bug, item 5 (M2'): PRE_TOOL_HYPOTHESIS_CLAUSE_RE (L83) has no word boundary before since/because/as, and it treats bare 'as' as causal. so a pre-tool sentence gets cut mid-word and only the tail is kept:\n- 'Let me check whether this was the cause.' -> 'the cause.'\n- '...the alias table.' -> 'table.'\n- '...the service has to say...' -> 'to say...'\n- '...tests as root.' -> 'root.'\n- '...logs as well.' -> 'well.'\n- 'Let me verify the alias works.' -> 'works.'\nno live turn hits it yet, but every teacher-generated phase 3 target will go through this path. fix: require a real separator plus \\\\b before since/because, drop bare 'as' and 'so that', and add these probes to the self-test.\n\nminor:\n- the fork exemption also keeps 'or not?' / 'or anything else?' / 'or would you rather review it first?' permission asks. those are false negatives, not false positives.\n- the L93 comment still says 144/240.\n- emoji inside inline code gets stripped. that happens in 1 of 658 live turns.\"\"\")\nprint(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_a15e58a6_175208", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only verification audit of all 6 fixes from `audits/opus_audit_slop_miner_and_1c_v3.md` §3.\nDo NOT edit any files except writing `audits/opus_audit_slop_miner_v4.md`.\nVerify:\n1. `PLAN.md` §5.2, §7.1, and §2.7.A #26 + `results/phase2_pareto_analysis.json` + `scripts/assemble_corpus.py`: were the '52-73%' and '~1.3/1.0/0.9s w/ MoCE' claims in §5.2 replaced with the measured Phase 1b OOS numbers, and are the §7.", "prev_tool_output_snippet": "{\"cell_id\":\"a15e58a6fb2dcb5dd5193f281b124c07/toolu_01PQrw3gCR3hyRy1STkdcm46\",\"status\":\"ok\",\"duration\":0.039,\"output\":\"sha256 270 h256 = hashlib.sha256(raw_b).hexdigest()\\nsha256 271 print(f\\\"Wrote {p:35s}: {len(raw_b) / 1024:8.1f} KB | sha256={h256}\\\")\\nhashlib 258 import hashlib\\nhashlib 270 h256 = hashlib.sha256(raw_b).hexdigest()\\nchar 210 # Group ChiTako paragraphs into ~1,600-char (~1,000-token) JA blocks\\nchar 226 # - 1 Ukisai doc (~3,500 chars EN/bash ≈ 950 tokens)\\nchar 227 # - every 4th round: 1 Terminal-Bench xhigh prompt (~4,000 chars ≈ 1,100 tokens)\\nchar 228 # - 1 Whittle doc (~3,600 chars EN/code/json/think ≈ 1,000 tokens)\\nchar 229 # - 1 JA doc alternating ChiTako (~1,600 chars JA ≈ 1,000 tokens) and Hotchpotch (~1,600 chars JA ≈ 1,000 tokens)\\nchar 229 # - 1 JA do", "old_think": "The script now outputs the sha256 and per-source counts, but since calibration_mix_v2.txt lives on the Colab /content environment rather than locally, there's no recorded hash to compare against in the PLAN or results — so I need to check the results for any existing sha256 record.", "tool_calls": [{"id": "toolu_01LsEmVLBEC9wMR8BPDS7fgQ", "type": "function", "function": {"name": "python", "arguments": {"code": "r=await files.find(\"sha256\", \".\", glob=\"*.{json,md}\", max_results=20); print(r)\nprint(a[255:0]); print(\"\\n\".join(a.split(\"\\n\")[255:272]))"}}}], "old_reply": null} {"window_id": "b1_local_albedo_232fd393_175020", "msg_idx": 2, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only audit of:\n1. All 6 fixes from `audits/opus_audit_phase1c_v2.md` §4 (`PLAN.md` §2.7.A #25, `PLAN.md` §7.1, `results/phase2_pareto_analysis.json`, `results/phase1c_tier2_results.json`, `scripts/assemble_corpus.py`).\n2. `mine_llm_isms_from_transcripts.py` and `results/banned_llm_isms.json` against all 8 requirements in `PLAN.md` §9 (Claude Code jsonl parsing, Albedo SQLite ETF decoding of `transcript` and `", "prev_tool_output_snippet": "", "old_think": "I'll start by taking a look at the files.", "tool_calls": [{"id": "toolu_015s7vHgtqxA7GHCY7tLvtxb", "type": "function", "function": {"name": "python", "arguments": {"code": "print(os.getcwd())\nfor p in [\"audits/opus_audit_phase1c_v2.md\",\"mine_llm_isms_from_transcripts.py\",\"results/banned_llm_isms.json\",\"PLAN.md\",\"results/phase2_pareto_analysis.json\",\"results/phase1c_tier2_results.json\",\"scripts/assemble_corpus.py\"]:\n print(p, os.path.exists(p), os.path.getsize(p) if os.path.exists(p) else None)\nr=await files.find(\"^## 4|^### 4|§4\", \"audits/opus_audit_phase1c_v2.md\")\nprint(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_90e7d835_174791", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only audit of Phase 1c (`scripts/run_phase1c_kld.py`, `scripts/run_phase1c_tier2_eval.py`, `results/phase1c_kld_results.json`, `results/phase1c_tier2_results.json`, and `PLAN.md`).\nDo NOT edit any files except writing your audit report to `audits/opus_audit_phase1c.md`.\nVerify:\n1. In `scripts/run_phase1c_kld.py` and `results/phase1c_kld_results.json`: check that all 7 variants (`K512_unpruned`,", "prev_tool_output_snippet": "{\"cell_id\":\"90e7d835c830d3aef6af9c08b72682dd/toolu_01GJ6uhZX3rYNKpgHkueGiNA\",\"status\":\"ok\",\"duration\":0.004,\"output\":\"K320_reap_hybrid - K320_reap_l2_sum ops_tools: diff=-0.0273 se=0.0352 z=-0.77 top1 +1.03\\nK320_reap_hybrid - K320_reap_l2_sum chat_json: diff=+0.0014 se=0.0197 z=+0.07 top1 +0.37\\nK320_reap_hybrid - K320_reap_l2_sum ja: diff=-0.0453 se=0.0172 z=-2.63 top1 +1.17\\n macro 0.39409299999999997 0.417811\\nK256_reap_l2_sum - K256_reap_hybrid ops_tools: diff=-0.4910 se=0.0566 z=-8.67 top1 +6.38\\nK256_reap_l2_sum - K256_reap_hybrid chat_json: diff=+0.0107 se=0.0253 z=+0.42 top1 -2.25\\nK256_reap_l2_sum - K256_reap_hybrid ja: diff=-0.0727 se=0.0209 z=-3.48 top1 +1.88\\n macro 0.5641833333333334 0.7485106666666667\\nK256_reap_l2_sum - K256_reap_shrink ops_tools: diff=+0.0988 se=0.04", "old_think": "I notice K256_shrink actually beats l2_sum on ops_tools KLD (0.796 vs 0.895) but has much worse PPL (7.1 vs 6.09), so the claim that K256_l2_sum beats all isn't uniform—there's an interesting tradeoff here. Let me check what PLAN.md claims about Phase 1c.", "tool_calls": [{"id": "toolu_01WazAQTrxSw48zB5yaQ4UrS", "type": "function", "function": {"name": "python", "arguments": {"code": "r=await files.find(r\"1c|parse_special|phase1c\", \"PLAN.md\", context=0, max_results=80)\nprint(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_9a5e0ac5_173977", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only audit of Phase 1a v3 fixes and Phase 1b completion (`scripts/select_and_eval_prunes.py`, `scripts/replay_moe_cache.py`, `scripts/replay_moe_cache_fast.cpp`, `results/keep_maps/`, `results/oos_prune_retention.json`, `results/phase1b_cache_moce_sweep.json`, `results/phase1b_heldout_cache_moce_sweep.json`).\nDo NOT edit any files. Verify:\n1. Did `scripts/select_and_eval_prunes.py` v3 resolve t", "prev_tool_output_snippet": "{\"cell_id\":\"9a5e0ac5590cb51c7d829dc0f9e27e2d/toolu_01NieYpcNhoMCQzmmjgUN2ST\",\"status\":\"ok\",\"duration\":0.002,\"output\":\"5278\\n\",\"value\":\"\",\"truncated\":false}", "old_think": "", "tool_calls": [{"id": "toolu_01NjkNzJthJQizRbQnHqXJYZ", "type": "function", "function": {"name": "python", "arguments": {"code": "r=await mail.submit(\"parent\", \"\"\"PASS, so #93 can close. full report: audits/opus_audit_phase1b.md\n\n- keep maps v3: all 9 rebuild exactly from reap_saliency_v2.json. 0 of the 8 zero-hit experts are kept anywhere, so the shrink bug is fixed. the hybrid is rank-percentile now, so the L47 outlier bug is fixed too. the maps nest 224⊂256⊂320. I recomputed oos_prune_retention.json from eval_reap_heldout.json and all 36 numbers match to 4dp. OOS order is l2_sum > hybrid > shrink at every K.\n- C++ vs python replayer: same math (forced misses, MoCE sort, lazy EMA, Belady). I compiled the C++ and diffed it against the python on synthetic traces: 96/96 configs match to 5e-7 once python breaks ties by lowest id like the C++ does. production python breaks ties in set-iteration order, which gives ≤0.04% drift. minor C++ gaps that the sweep never hits: no cap>=k_used check (otherwise UB), no fopen check, hardcoded 48/512/64.\n- sweeps: the in-sample and OOS files cover the same 120 configs. the derived fields are consistent on all 240 rows, Belady is the minimum, and misses fall monotonically as λ rises. j=2 vs j=3 makes no difference. caveat: pruned-variant miss counts don't count the cost of substituted slots.\"\"\")\nprint(r)"}}}], "old_reply": null} {"window_id": "b1_local_albedo_7c8c83b8_173849", "msg_idx": 4, "bucket": "albedo_tool_mastery", "harness": "albedo", "needs_think_rewrite": true, "needs_reply_rewrite": false, "user_prompt_snippet": "\nTASK:\nRead-only audit of Phase 1a v2 outputs and fixes (`scripts/assemble_corpus.py`, `scripts/patch_imatrix.py`, `scripts/select_and_eval_prunes.py`, `scripts/replay_moe_cache.py`, `results/reap_saliency_v2.json`, `results/keep_maps/`, and `audits/opus_audit_phase1_methodology.md`).\nDo NOT edit any files. Verify:\n1. Were all 6 findings from `audits/opus_audit_phase1_methodology.md` properly fixed in the ", "prev_tool_output_snippet": "{\"cell_id\":\"7c8c83b8f2a7adba7e9a2ba94b1bc78f/toolu_01MSBLh7ByoFPM9xnshqJwJ1\",\"status\":\"ok\",\"duration\":0.02,\"output\":\"{'trace_tokens_written': 16384, 'nonfinite_drops': 0} 48\\ndict_keys(['count', 'prob_sum', 'reap_l2_sum', 'reap_l2_sq_sum'])\\n0 1310720 131072.0 208015.8 zero 6 min/max 0 18417 bad 0 0 True\\n1 1310720 131072.0 139454.3 zero 1 min/max 0 17960 bad 0 0 True\\n2 1310720 131072.0 137920.4 zero 0 min/max 1 15902 bad 0 0 True\\n3 1310720 131072.0 182696.4 zero 0 min/max 43 25015 bad 0 0 True\\n4 1310720 131072.0 203829.7 zero 0 min/max 176 29524 bad 0 0 True\\n5 1310720 131072.0 139091.1 zero 0 min/max 155 15955 bad 0 0 True\\n6 1310720 131072.0 208438.3 zero 0 min/max 94 21826 bad 0 0 True\\n7 1310720 131072.0 185181.4 zero 0 min/max 87 17870 bad 0 0 True\\n8 1310720 131072.0 180989.1 zer", "old_think": "I'm spotting a possible Cauchy-Schwarz discrepancy at layer 30 that's likely just floating-point rounding, and trying to reason out how the 131,072 token count maps to the corpus's chunk sizes across the different document sets.\n\nWith roughly 4MB of characters translating to over 1M tokens, the 131,072 cap confirms the corpus is still being chunk-limited — meaning only about 40 of the roughly 330 ", "tool_calls": [{"id": "toolu_01XLNFcsXUutBt3vNTZritiW", "type": "function", "function": {"name": "python", "arguments": {"code": "l=L[\"30\"]\nfor i in range(512):\n c,r,q=l[\"count\"][i],l[\"reap_l2_sum\"][i],l[\"reap_l2_sq_sum\"][i]\n if c and q < r*r/c*(1-1e-9): print(i,c,r,q,r*r/c)\nr=await files.find(r\"chunks|reap_saliency_v2|-c 2048|--parse-special\", \".\", glob=\"*.md\", max_results=40)\nprint(r)"}}}], "old_reply": null}