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learnharness/app
Daniel Buckner 695948271f feat: user pins for local model limits (context, max output, thinking)
A local endpoint that publishes no limits — LM Studio's /models says nothing —
left every model on the 8192/4096 defaults with no way to say "this one has a
131k window". Each discovered model now gets three optional pins in the
endpoint editor: context window, max output tokens, thinking (auto/on/off).

A pin always wins: user pin → what the endpoint published → compiled default.
Blank means no opinion, so discovery keeps ruling wherever you don't pin. Pins
live in customProvider.overrides keyed by model id, stored apart from the
discovery snapshot: a reconnect refreshes the models and prunes the pins of
models that vanished while keeping the rest.

Pins are written by PATCH /api/custom-provider, which never probes — the whole
point is configuring a server that isn't answering /models correctly. Connect
still probes and still fails loudly when the endpoint is down. A pin under 2048
tokens is rejected on the write side and clamped up on the read path, matching
the compaction-floor discipline.
2026-10-27 16:25:03 -07:00
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