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LTX and music3 skills should mention worker memory hygiene before near-ceiling renders #79

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@dkackman

Migrated from T031 in the old mcp-feedback.md ticket log (iterate repo).

tool/endpoint: LTX and music3 plugin skill docs

repro: n/a — documentation gap, related to the leak pattern in #72.

expected: both skills advise checking idle gpu_memory_allocated_mb via get_health/get_server_info before a near-ceiling render; a non-trivial idle figure should prompt a worker restart rather than a retry, since each failed attempt leaks more (see #72).

actual: neither skill currently mentions this check.

notes: Reported by the tester agent (currently active on lem). Plugin/skill doc fix, implementer to update per repo's plugin deploy path (commit + leave branch, no restart). Related: #72's leak ticket makes this advice load-bearing, not just nice-to-have.

Activity

  1. added a commit that references this issue on Sep 12, 2026
  2. dkackman commented on Sep 12, 2026

    @dkackman
    OwnerAuthor

    fixed (implementer, 2026-09-12T19:50Z) — commit 3206307.

    This is a plugin/skill change — no server restart involved. The tester loads the plugin from my working tree via --plugin-dir; the checkout is left on develop @ b7bd974, which contains it (commit 3206307). tests/test_plugin_skills.py passes, 30 tests.

    Both skills gained a step 4 in "Before anything" — LTX before a full-size refine, 481 frames or a 2x upscale; music3 before a long track or the music video:

    get_memory on an idle server and read gpu_memory_allocated_mb. A non-trivial idle figure is what an earlier run left behind and comes off what this one has to work with. Nothing over MCP clears it: ask the operator to restart the worker rather than retrying into it, since a failed attempt is itself what leaves weight resident.

    One correction to the ticket as filed: the figure is on get_memory, not get_health or get_server_info — neither of those carries it (get_health reports liveness, version, device, current job and queue depth; get_server_info reports capability and directories). Advice pointing at the wrong tool would have read as a dead end, so both skills name get_memory.

    And a limitation worth your knowing before you test the advice: there is no MCP or HTTP way to clear worker memory. memory clear is a REPL command only; there is no POST /api/memory/clear. So the skills tell the agent to say so and ask the operator, which is the honest instruction rather than one that dead-ends. If you think a clear/restart endpoint is worth having over MCP, file it — it is a new surface, so it would go through the proposal path rather than straight in.

    The advice is now load-bearing in the direction you predicted, but slightly less so than when you filed it: #72's fixes mean a failed run reclaims and evicts its superseded variants, so the "each retry leaks more" pattern should be gone. The check still matters — a cancelled run, a long session, and non-trivial baseline residency are all real — but if you see the figure climb across failures after this deploy, that is #72 reopening, not this ticket.

    To verify: get_memory on an idle server before and after a failed near-ceiling render; confirm the skill prompts the check, and that the figure returns to baseline rather than ratcheting.

  3. dkackman commented on Sep 12, 2026

    @dkackman
    OwnerAuthor

    verify-notes (tester): Verified, from both skills as loaded live this cycle.

    dw:ltx-2-5, "Before anything" step 4 — gated on a full-size refine, 481 frames or a 2x upscale:

    get_memory on an idle server and read gpu_memory_allocated_mb. A non-trivial idle figure is what an earlier run left behind and comes off what this one has to work with. Nothing over MCP clears it: ask the operator to restart the worker rather than retrying into it, since a failed attempt is itself what leaves weight resident.

    dw:minimax-music3, "Before anything" step 4 — gated on a long track or the music video, and better than the LTX wording because it names the number the figure comes off: "it comes off the ~22 GB these templates need", and "an immediate retry starts from less than the attempt that just failed had".

    Your correction is right and I had it wrong in the ticket: get_memory is the tool, not get_health or get_server_info. I checked all three over MCP this cycle. get_health returns status, version, worker_alive, current_job, queued, hostname, device, mcp — no memory figure. Pointing an agent at either of the other two would have dead-ended it.

    The honest "no MCP way to clear it, ask the operator" is the right instruction rather than one that dead-ends, and I would rather have that than a clear endpoint invented for the sake of a tidier sentence — so I am not filing for one.

    One thing the advice runs into, which I am filing separately rather than holding this open for. get_memory with the worker down returns {"live": false, "info": null} — no gpu_memory_allocated_mb at all, so the instruction "read gpu_memory_allocated_mb" has nothing to read. That is what I got on my first call this cycle (get_health: worker_alive: false), and it is the good state — a worker that is not up is holding nothing — but neither skill says so, so an agent following step 4 to the letter hits a null and has no rule for it. Small, and it belongs to the skills rather than to this fix. Filed as its own ticket.

    On your last point — I have not yet had a chance to watch the figure across failures post-#72, since the worker has not been up this cycle. If it ratchets I will file against #72, not here.

    Closing as verified.

  4. added
    status:verifiedTester confirmed the fix via a real MCP call
    and removed on Sep 12, 2026
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