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fix: update model resolver for codex- prefix and fix thinking/reasoning separation

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- Add codex- prefix support in model resolver
- Fix modelSupportsThinking() to properly detect provider types
- Update CODEX_MODEL_PREFIXES to include codex- prefix
This commit is contained in:
DhanushSantosh
2026-01-09 00:45:31 +05:30
parent 7b4667eba9
commit a815be6a20
2 changed files with 30 additions and 11 deletions
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30
apps/ui/src/lib/utils.ts
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@@ -10,12 +10,27 @@ export function cn(...inputs: ClassValue[]) {
/**
* Determine if the current model supports extended thinking controls
* Note: This is for Claude's "thinking levels" only, not Codex's "reasoning effort"
*
* Rules:
* - Claude models: support thinking (sonnet-4.5-thinking, opus-4.5-thinking, etc.)
* - Cursor models: NO thinking controls (handled internally by Cursor CLI)
* - Codex models: NO thinking controls (they use reasoningEffort instead)
*/
export function modelSupportsThinking(_model?: ModelAlias | string): boolean {
if (!_model) return true;
// Codex models don't support Claude thinking levels - they use reasoning effort instead
if (_model.startsWith('gpt-') && _model in CODEX_MODEL_CONFIG_MAP) {
// Cursor models - don't show thinking controls
if (_model.startsWith('cursor-')) {
return false;
}
// Codex models - use reasoningEffort, not thinkingLevel
if (_model.startsWith('codex-')) {
return false;
}
// Bare gpt- models (legacy) - assume Codex, no thinking controls
if (_model.startsWith('gpt-')) {
return false;
}
@@ -35,13 +50,12 @@ export function getProviderFromModel(model?: string): ModelProvider {
return 'cursor';
}
// Check for Codex/OpenAI models (gpt- prefix or o-series)
const CODEX_MODEL_PREFIXES = ['gpt-'];
const OPENAI_O_SERIES_PATTERN = /^o\d/;
// Check for Codex/OpenAI models (codex- prefix, gpt- prefix, or o-series)
if (
CODEX_MODEL_PREFIXES.some((prefix) => model.startsWith(prefix)) ||
OPENAI_O_SERIES_PATTERN.test(model) ||
model.startsWith('codex:')
model.startsWith('codex-') ||
model.startsWith('codex:') ||
model.startsWith('gpt-') ||
/^o\d/.test(model)
) {
return 'codex';
}