Commit 682fb27
fix(distributed): detach cold-load staging from the request context (#10438)
A model not yet loaded on a worker is staged lazily on the inference
request path. Staging a multi-GB model takes minutes - far longer than
any client keeps its HTTP request open - so a browser refresh, an
ingress/LB idle-timeout, or a round-robined retry landing on another
frontend replica cancels the request context and aborts the upload with
"context canceled" mid-transfer. Large models then never finish staging,
so they never load (observed in a 2-replica deployment: both frontends
repeatedly failed to stage a 15.7 GB GGUF, each attempt dying at a
different offset).
Bind the cold load (staging + LoadModel + the per-model advisory lock) to
context.WithoutCancel(ctx): it keeps the request's values (prefix chain)
but drops cancellation/deadline. Each long step keeps its own bound (the
file stager's resume budget, LoadModel's 5m timeout), and the advisory
lock still de-dupes concurrent loaders across replicas.
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>1 parent 20c643e commit 682fb27
2 files changed
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