[Fix] OpenCode Go context meter shows incorrect limits - #1428
[Fix] OpenCode Go context meter shows incorrect limits#1428zoomote[bot] wants to merge 6 commits into
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Consolidated all 33 OpenCode Go model records into Commit: db24d2f |
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In `@packages/types/src/providers/opencode-go.ts`:
- Around line 477-479: Update the DeepSeek V4 Flash Vision Exp ModelInfo entry
and its cost-calculation path to represent OpenCode Go’s UTC weekday peak
schedule (01:00–04:00 and 06:00–10:00) alongside off-peak rates, selecting peak
prices only during those periods. If ModelInfo cannot express time-based
pricing, use the peak rates as conservative static values and update the related
opencode-go tests.
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In `@packages/types/src/providers/opencode-go.ts`:
- Line 696: Remove "grok-4.5" from OPENCODE_GO_RESPONSES_FORMAT_MODELS so
isOpencodeGoResponsesFormatModel("grok-4.5") uses the chat completions route,
while retaining "grok-4.6" in the Responses model set. Add an integration test
only if this changes the gateway contract.
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What changed
All 35 models currently returned by OpenCode Go now have complete metadata in the single
opencodeGoModelsregistry, including limits, capabilities, pricing, and descriptions. Live endpoint metadata still overrides volatile fields when supplied. Qwen models use the Messages API where required; GPT-5.6 Luna, Grok 4.6, and Muse Spark use their documented Responses API route; Grok 4.5 follows Chat Completions.Independent registry expectations cover the curated metadata, including corrected GLM-5.3 Flash and HY3 prices, conservative peak pricing for DeepSeek V4 Flash Vision Exp, Luna's max-output control, Muse Spark 1.3, and Omen Alpha.
Why this change was made
Models without a registry entry inherited a generic 200k context window, causing incorrect context percentages. Incorrect prices understated displayed costs, while split metadata and incorrect wire-format routing could silently produce inconsistent controls or failed requests.
Impact
The context meter, model controls, cost estimates, and request routing now resolve from one current model registry. Time-varying DeepSeek Vision costs use the conservative peak rate until the shared model schema can express schedules. Unknown future IDs retain the safe generic fallback until their metadata is curated.
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