Commit 4669e1a
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fix: per-model threshold lookup and input-aware context limits
Three related correctness fixes around per-model execute_threshold_percentage
and context-limit resolution, addressing user-reported issues with GitHub
Copilot models and experimental-mode model variants.
- transform.ts: populate liveModelBySession from message history when empty,
so the scheduler can resolve per-model thresholds immediately instead of
waiting for the next message.updated event. Previously, after a plugin
restart or on the first transform of a session with prior history, the
map stayed empty and every transform in that window silently used the
default threshold.
- event-resolvers.ts: progressive key lookup in resolveExecuteThreshold.
OpenCode's experimental.modes generates derived model IDs like
'openai/gpt-5.4-fast' from base 'openai/gpt-5.4'. Users may now write
either form in config; most-specific match wins. Also matches bare model
IDs (without provider prefix) through the same cascade. +10 tests.
- models-dev-cache.ts: prefer limit.input over limit.context across all
three resolution sites (models.json file layer, opencode.json custom
provider overlay, SDK API refresh path). Matches OpenCode's session/
overflow.ts behavior. Affects 182+ models including every GitHub Copilot
entry and most gpt-5.x derivations through proxies where limit.input is
the enforced prompt cap and limit.context is the total window including
output. Previously we used the larger context number as the denominator,
so pressure math underestimated real usage. gpt-5.3-codex for example now
correctly uses 272K instead of 400K as the context limit.
- models-dev-cache.test.ts: test isolation fix — OPENCODE_CONFIG_DIR now
points at an empty directory per test so user's real opencode.jsonc
(which may have custom provider limit overrides) does not leak into
test expectations. +4 tests for the input/context preference logic.1 parent dc6ed12 commit 4669e1a
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