Files
codex/codex-rs/app-server/src/models.rs
charley-oai 3389465c8d Enable model upgrade popup even when selected model is no longer in picker (#8802)
With `config.toml`:
```
model = "gpt-5.1-codex"
```
(where `gpt-5.1-codex` has `show_in_picker: false` in
[`model_presets.rs`](https://github.com/openai/codex/blob/main/codex-rs/core/src/models_manager/model_presets.rs);
this happens if the user hasn't used codex in a while so they didn't see
the popup before their model was changed to `show_in_picker: false`)

The upgrade picker used to not show (because `gpt-5.1-codex` was
filtered out of the model list in code). Now, the filtering is done
downstream in tui and app-server, so the model upgrade popup shows:

<img width="1503" height="227" alt="Screenshot 2026-01-06 at 5 04 37 PM"
src="https://github.com/user-attachments/assets/26144cc2-0b3f-4674-ac17-e476781ec548"
/>
2026-01-06 19:32:27 -08:00

48 lines
1.4 KiB
Rust

use std::sync::Arc;
use codex_app_server_protocol::Model;
use codex_app_server_protocol::ReasoningEffortOption;
use codex_core::ConversationManager;
use codex_core::config::Config;
use codex_protocol::openai_models::ModelPreset;
use codex_protocol::openai_models::ReasoningEffortPreset;
pub async fn supported_models(
conversation_manager: Arc<ConversationManager>,
config: &Config,
) -> Vec<Model> {
conversation_manager
.list_models(config)
.await
.into_iter()
.filter(|preset| preset.show_in_picker)
.map(model_from_preset)
.collect()
}
fn model_from_preset(preset: ModelPreset) -> Model {
Model {
id: preset.id.to_string(),
model: preset.model.to_string(),
display_name: preset.display_name.to_string(),
description: preset.description.to_string(),
supported_reasoning_efforts: reasoning_efforts_from_preset(
preset.supported_reasoning_efforts,
),
default_reasoning_effort: preset.default_reasoning_effort,
is_default: preset.is_default,
}
}
fn reasoning_efforts_from_preset(
efforts: Vec<ReasoningEffortPreset>,
) -> Vec<ReasoningEffortOption> {
efforts
.iter()
.map(|preset| ReasoningEffortOption {
reasoning_effort: preset.effort,
description: preset.description.to_string(),
})
.collect()
}