When a user configures a custom model for a category (e.g. quick.model),
the hardcoded CATEGORY_MODEL_REQUIREMENTS fallbackChain was overriding it.
This caused the user's model to be ignored and replaced with the default
(e.g. openai/gpt-5.4-mini).
Fix:
- Use userModelOverride directly instead of potentially stale actualModel
- Suppress hardcoded fallbackChain when explicitCategoryModel is provided
- Add regression test verifying user category model takes precedence
Closes#3040
Add support for object-style entries in fallback_models arrays, enabling
per-model configuration of variant, reasoningEffort, temperature, top_p,
maxTokens, and thinking settings.
- Zod schema for FallbackModelObject with full validation
- normalizeFallbackModels() and flattenToFallbackModelStrings() utilities
- Provider-agnostic model resolution pipeline with fallback chain
- Session prompt params state management
- Fallback chain construction with prefix-match lookup
- Integration across delegate-task, background-agent, and plugin layers
OpenCode SDK does not expose client.model.list API. This caused the
provider-models cache to always be empty (models: {}), which in turn
caused delegate-task categories with requiresModel (e.g., 'deep',
'artistry') to fail with misleading 'Unknown category' errors.
Changes:
- connected-providers-cache.ts: Extract models from provider.list()
response's .all array instead of calling non-existent client.model.list
- category-resolver.ts: Distinguish between 'unknown category' and
'model not available' errors with clearer error messages
- Add comprehensive tests for both fixes
Bug chain:
client.model?.list is undefined -> empty cache -> isModelAvailable
returns false for requiresModel categories -> null returned from
resolveCategoryConfig -> 'Unknown category' error (wrong message)