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v3.4.0
GLM-5.3-Flash reuses the server's prompt state across tool rounds and chats, CrowSetup installs crow-nest engine v0.13.0, and the turn line names how long prefill took. Windows assets only, as for v3.3.x.
Changed
- The GLM-5.3-Flash point reuses the prompt state across tool rounds and chats (
94e2556, 2026-10-12, owner decision). Theglm53-flashpoint inmanifests/stack.jsonaddsCROW_GLM_SMALL_PROMPT=1,CROW_GLM_ANSWER_REUSE=1andCROW_GLM_PREFIX_ANCHOR=1(crow-nest #216, #219, #217; default off in the engine) to thearm4.envset. The owner's live check of 2026-10-12 with the three switches on the installed engine v0.12.0, in the Crow window, one task of 3 rounds:[cache] LIVEevery round, prefill 55 / 154 / 86 new tokens in 2,680.8 / 4,539.0 / 3,105.1 ms (10.3 s in total), against 4.7 to 7.2 s per round and 36.5 s for 6 rounds in the task before with the switches off; decode 14.03 tok/s; no hang (n = 1 task). - Crow is pinned to crow-nest engine v0.13.0 (
94e2556, 2026-10-12).manifests/stack.jsonengine_packagenamescrow-nest-engine-0.13.0-win-x64.zip(4,526,571 B, sha2564b3d2e4b…,serve.exesha2567d73f8de…); CrowSetup installs it, and Settings → About offers it to an install on an older engine (#367). The engine's GLM reasoning box closes on the</think>token id instead of its text (crow-nest #221), and serve logs the generated ids of every request at INFO (crow-nest #223). - Version 3.4.0 in
cli/crow_core.py,install.ps1andmanifests/operating-point.json; the README image's version pill.
Fixed
- The turn line names how long prefill took (#370, 2026-10-12). It showed prefill only as a rate, so the owner's 3-round GLM task read
prefill 295 @ 28.57 tok/s, which looked like a broken prefill; the 10.3 s it took were not on the line. It now readsprefill 295 tok in 10.3s @ 28.57 tok/s; the rest of the line is unchanged.
Install / upgrade
- Existing install: Settings → About → install 3.4.0, restart Crow, then stop the point and press install 0.13.0 under CROW-NEST.
- New install: download
CrowSetup.exebelow and run it.