language_model_selector.rs

  1use std::{cmp::Reverse, sync::Arc};
  2
  3use agent_settings::AgentSettings;
  4use collections::{HashMap, HashSet, IndexMap};
  5use fuzzy::{StringMatch, StringMatchCandidate, match_strings};
  6use gpui::{
  7    Action, AnyElement, App, BackgroundExecutor, DismissEvent, FocusHandle, Subscription, Task,
  8};
  9use language_model::{
 10    AuthenticateError, ConfiguredModel, LanguageModel, LanguageModelId, LanguageModelProvider,
 11    LanguageModelProviderId, LanguageModelRegistry,
 12};
 13use ordered_float::OrderedFloat;
 14use picker::{Picker, PickerDelegate};
 15use settings::Settings;
 16use ui::prelude::*;
 17use zed_actions::agent::OpenSettings;
 18
 19use crate::ui::{ModelSelectorFooter, ModelSelectorHeader, ModelSelectorListItem};
 20
 21type OnModelChanged = Arc<dyn Fn(Arc<dyn LanguageModel>, &mut App) + 'static>;
 22type GetActiveModel = Arc<dyn Fn(&App) -> Option<ConfiguredModel> + 'static>;
 23type OnToggleFavorite = Arc<dyn Fn(Arc<dyn LanguageModel>, bool, &App) + 'static>;
 24
 25pub type LanguageModelSelector = Picker<LanguageModelPickerDelegate>;
 26
 27pub fn language_model_selector(
 28    get_active_model: impl Fn(&App) -> Option<ConfiguredModel> + 'static,
 29    on_model_changed: impl Fn(Arc<dyn LanguageModel>, &mut App) + 'static,
 30    on_toggle_favorite: impl Fn(Arc<dyn LanguageModel>, bool, &App) + 'static,
 31    popover_styles: bool,
 32    focus_handle: FocusHandle,
 33    window: &mut Window,
 34    cx: &mut Context<LanguageModelSelector>,
 35) -> LanguageModelSelector {
 36    let delegate = LanguageModelPickerDelegate::new(
 37        get_active_model,
 38        on_model_changed,
 39        on_toggle_favorite,
 40        popover_styles,
 41        focus_handle,
 42        window,
 43        cx,
 44    );
 45
 46    if popover_styles {
 47        Picker::list(delegate, window, cx)
 48            .show_scrollbar(true)
 49            .width(rems(20.))
 50            .max_height(Some(rems(20.).into()))
 51    } else {
 52        Picker::list(delegate, window, cx).show_scrollbar(true)
 53    }
 54}
 55
 56fn all_models(cx: &App) -> GroupedModels {
 57    let lm_registry = LanguageModelRegistry::global(cx).read(cx);
 58    let providers = lm_registry.providers();
 59
 60    let mut favorites_index = FavoritesIndex::default();
 61
 62    for sel in &AgentSettings::get_global(cx).favorite_models {
 63        favorites_index
 64            .entry(sel.provider.0.clone().into())
 65            .or_default()
 66            .insert(sel.model.clone().into());
 67    }
 68
 69    let recommended = providers
 70        .iter()
 71        .flat_map(|provider| {
 72            provider
 73                .recommended_models(cx)
 74                .into_iter()
 75                .map(|model| ModelInfo::new(&**provider, model, &favorites_index))
 76        })
 77        .collect();
 78
 79    let all = providers
 80        .iter()
 81        .flat_map(|provider| {
 82            provider
 83                .provided_models(cx)
 84                .into_iter()
 85                .map(|model| ModelInfo::new(&**provider, model, &favorites_index))
 86        })
 87        .collect();
 88
 89    GroupedModels::new(all, recommended)
 90}
 91
 92type FavoritesIndex = HashMap<LanguageModelProviderId, HashSet<LanguageModelId>>;
 93
 94#[derive(Clone)]
 95struct ModelInfo {
 96    model: Arc<dyn LanguageModel>,
 97    icon: IconName,
 98    is_favorite: bool,
 99}
100
101impl ModelInfo {
102    fn new(
103        provider: &dyn LanguageModelProvider,
104        model: Arc<dyn LanguageModel>,
105        favorites_index: &FavoritesIndex,
106    ) -> Self {
107        let is_favorite = favorites_index
108            .get(&provider.id())
109            .map_or(false, |set| set.contains(&model.id()));
110
111        Self {
112            model,
113            icon: provider.icon(),
114            is_favorite,
115        }
116    }
117}
118
119pub struct LanguageModelPickerDelegate {
120    on_model_changed: OnModelChanged,
121    get_active_model: GetActiveModel,
122    on_toggle_favorite: OnToggleFavorite,
123    all_models: Arc<GroupedModels>,
124    filtered_entries: Vec<LanguageModelPickerEntry>,
125    selected_index: usize,
126    _authenticate_all_providers_task: Task<()>,
127    _subscriptions: Vec<Subscription>,
128    popover_styles: bool,
129    focus_handle: FocusHandle,
130}
131
132impl LanguageModelPickerDelegate {
133    fn new(
134        get_active_model: impl Fn(&App) -> Option<ConfiguredModel> + 'static,
135        on_model_changed: impl Fn(Arc<dyn LanguageModel>, &mut App) + 'static,
136        on_toggle_favorite: impl Fn(Arc<dyn LanguageModel>, bool, &App) + 'static,
137        popover_styles: bool,
138        focus_handle: FocusHandle,
139        window: &mut Window,
140        cx: &mut Context<Picker<Self>>,
141    ) -> Self {
142        let on_model_changed = Arc::new(on_model_changed);
143        let models = all_models(cx);
144        let entries = models.entries();
145
146        Self {
147            on_model_changed,
148            all_models: Arc::new(models),
149            selected_index: Self::get_active_model_index(&entries, get_active_model(cx)),
150            filtered_entries: entries,
151            get_active_model: Arc::new(get_active_model),
152            on_toggle_favorite: Arc::new(on_toggle_favorite),
153            _authenticate_all_providers_task: Self::authenticate_all_providers(cx),
154            _subscriptions: vec![cx.subscribe_in(
155                &LanguageModelRegistry::global(cx),
156                window,
157                |picker, _, event, window, cx| {
158                    match event {
159                        language_model::Event::ProviderStateChanged(_)
160                        | language_model::Event::AddedProvider(_)
161                        | language_model::Event::RemovedProvider(_) => {
162                            let query = picker.query(cx);
163                            picker.delegate.all_models = Arc::new(all_models(cx));
164                            // Update matches will automatically drop the previous task
165                            // if we get a provider event again
166                            picker.update_matches(query, window, cx)
167                        }
168                        _ => {}
169                    }
170                },
171            )],
172            popover_styles,
173            focus_handle,
174        }
175    }
176
177    fn get_active_model_index(
178        entries: &[LanguageModelPickerEntry],
179        active_model: Option<ConfiguredModel>,
180    ) -> usize {
181        entries
182            .iter()
183            .position(|entry| {
184                if let LanguageModelPickerEntry::Model(model) = entry {
185                    active_model
186                        .as_ref()
187                        .map(|active_model| {
188                            active_model.model.id() == model.model.id()
189                                && active_model.provider.id() == model.model.provider_id()
190                        })
191                        .unwrap_or_default()
192                } else {
193                    false
194                }
195            })
196            .unwrap_or(0)
197    }
198
199    /// Authenticates all providers in the [`LanguageModelRegistry`].
200    ///
201    /// We do this so that we can populate the language selector with all of the
202    /// models from the configured providers.
203    fn authenticate_all_providers(cx: &mut App) -> Task<()> {
204        let authenticate_all_providers = LanguageModelRegistry::global(cx)
205            .read(cx)
206            .providers()
207            .iter()
208            .map(|provider| (provider.id(), provider.name(), provider.authenticate(cx)))
209            .collect::<Vec<_>>();
210
211        cx.spawn(async move |_cx| {
212            for (provider_id, provider_name, authenticate_task) in authenticate_all_providers {
213                if let Err(err) = authenticate_task.await {
214                    if matches!(err, AuthenticateError::CredentialsNotFound) {
215                        // Since we're authenticating these providers in the
216                        // background for the purposes of populating the
217                        // language selector, we don't care about providers
218                        // where the credentials are not found.
219                    } else {
220                        // Some providers have noisy failure states that we
221                        // don't want to spam the logs with every time the
222                        // language model selector is initialized.
223                        //
224                        // Ideally these should have more clear failure modes
225                        // that we know are safe to ignore here, like what we do
226                        // with `CredentialsNotFound` above.
227                        match provider_id.0.as_ref() {
228                            "lmstudio" | "ollama" => {
229                                // LM Studio and Ollama both make fetch requests to the local APIs to determine if they are "authenticated".
230                                //
231                                // These fail noisily, so we don't log them.
232                            }
233                            "copilot_chat" => {
234                                // Copilot Chat returns an error if Copilot is not enabled, so we don't log those errors.
235                            }
236                            _ => {
237                                log::error!(
238                                    "Failed to authenticate provider: {}: {err:#}",
239                                    provider_name.0
240                                );
241                            }
242                        }
243                    }
244                }
245            }
246        })
247    }
248
249    pub fn active_model(&self, cx: &App) -> Option<ConfiguredModel> {
250        (self.get_active_model)(cx)
251    }
252}
253
254struct GroupedModels {
255    favorites: Vec<ModelInfo>,
256    recommended: Vec<ModelInfo>,
257    all: IndexMap<LanguageModelProviderId, Vec<ModelInfo>>,
258}
259
260impl GroupedModels {
261    pub fn new(all: Vec<ModelInfo>, recommended: Vec<ModelInfo>) -> Self {
262        let favorites = all
263            .iter()
264            .filter(|info| info.is_favorite)
265            .cloned()
266            .collect();
267
268        let mut all_by_provider: IndexMap<_, Vec<ModelInfo>> = IndexMap::default();
269        for model in all {
270            let provider = model.model.provider_id();
271            if let Some(models) = all_by_provider.get_mut(&provider) {
272                models.push(model);
273            } else {
274                all_by_provider.insert(provider, vec![model]);
275            }
276        }
277
278        Self {
279            favorites,
280            recommended,
281            all: all_by_provider,
282        }
283    }
284
285    fn entries(&self) -> Vec<LanguageModelPickerEntry> {
286        let mut entries = Vec::new();
287
288        if !self.favorites.is_empty() {
289            entries.push(LanguageModelPickerEntry::Separator("Favorite".into()));
290            for info in &self.favorites {
291                entries.push(LanguageModelPickerEntry::Model(info.clone()));
292            }
293        }
294
295        if !self.recommended.is_empty() {
296            entries.push(LanguageModelPickerEntry::Separator("Recommended".into()));
297            for info in &self.recommended {
298                entries.push(LanguageModelPickerEntry::Model(info.clone()));
299            }
300        }
301
302        for models in self.all.values() {
303            if models.is_empty() {
304                continue;
305            }
306            entries.push(LanguageModelPickerEntry::Separator(
307                models[0].model.provider_name().0,
308            ));
309            for info in models {
310                entries.push(LanguageModelPickerEntry::Model(info.clone()));
311            }
312        }
313
314        entries
315    }
316}
317
318enum LanguageModelPickerEntry {
319    Model(ModelInfo),
320    Separator(SharedString),
321}
322
323struct ModelMatcher {
324    models: Vec<ModelInfo>,
325    bg_executor: BackgroundExecutor,
326    candidates: Vec<StringMatchCandidate>,
327}
328
329impl ModelMatcher {
330    fn new(models: Vec<ModelInfo>, bg_executor: BackgroundExecutor) -> ModelMatcher {
331        let candidates = Self::make_match_candidates(&models);
332        Self {
333            models,
334            bg_executor,
335            candidates,
336        }
337    }
338
339    pub fn fuzzy_search(&self, query: &str) -> Vec<ModelInfo> {
340        let mut matches = self.bg_executor.block(match_strings(
341            &self.candidates,
342            query,
343            false,
344            true,
345            100,
346            &Default::default(),
347            self.bg_executor.clone(),
348        ));
349
350        let sorting_key = |mat: &StringMatch| {
351            let candidate = &self.candidates[mat.candidate_id];
352            (Reverse(OrderedFloat(mat.score)), candidate.id)
353        };
354        matches.sort_unstable_by_key(sorting_key);
355
356        let matched_models: Vec<_> = matches
357            .into_iter()
358            .map(|mat| self.models[mat.candidate_id].clone())
359            .collect();
360
361        matched_models
362    }
363
364    pub fn exact_search(&self, query: &str) -> Vec<ModelInfo> {
365        self.models
366            .iter()
367            .filter(|m| {
368                m.model
369                    .name()
370                    .0
371                    .to_lowercase()
372                    .contains(&query.to_lowercase())
373            })
374            .cloned()
375            .collect::<Vec<_>>()
376    }
377
378    fn make_match_candidates(model_infos: &Vec<ModelInfo>) -> Vec<StringMatchCandidate> {
379        model_infos
380            .iter()
381            .enumerate()
382            .map(|(index, model)| {
383                StringMatchCandidate::new(
384                    index,
385                    &format!(
386                        "{}/{}",
387                        &model.model.provider_name().0,
388                        &model.model.name().0
389                    ),
390                )
391            })
392            .collect::<Vec<_>>()
393    }
394}
395
396impl PickerDelegate for LanguageModelPickerDelegate {
397    type ListItem = AnyElement;
398
399    fn match_count(&self) -> usize {
400        self.filtered_entries.len()
401    }
402
403    fn selected_index(&self) -> usize {
404        self.selected_index
405    }
406
407    fn set_selected_index(&mut self, ix: usize, _: &mut Window, cx: &mut Context<Picker<Self>>) {
408        self.selected_index = ix.min(self.filtered_entries.len().saturating_sub(1));
409        cx.notify();
410    }
411
412    fn can_select(
413        &mut self,
414        ix: usize,
415        _window: &mut Window,
416        _cx: &mut Context<Picker<Self>>,
417    ) -> bool {
418        match self.filtered_entries.get(ix) {
419            Some(LanguageModelPickerEntry::Model(_)) => true,
420            Some(LanguageModelPickerEntry::Separator(_)) | None => false,
421        }
422    }
423
424    fn placeholder_text(&self, _window: &mut Window, _cx: &mut App) -> Arc<str> {
425        "Select a model…".into()
426    }
427
428    fn update_matches(
429        &mut self,
430        query: String,
431        window: &mut Window,
432        cx: &mut Context<Picker<Self>>,
433    ) -> Task<()> {
434        let all_models = self.all_models.clone();
435        let active_model = (self.get_active_model)(cx);
436        let bg_executor = cx.background_executor();
437
438        let language_model_registry = LanguageModelRegistry::global(cx);
439
440        let configured_providers = language_model_registry
441            .read(cx)
442            .providers()
443            .into_iter()
444            .filter(|provider| provider.is_authenticated(cx))
445            .collect::<Vec<_>>();
446
447        let configured_provider_ids = configured_providers
448            .iter()
449            .map(|provider| provider.id())
450            .collect::<Vec<_>>();
451
452        let recommended_models = all_models
453            .recommended
454            .iter()
455            .filter(|m| configured_provider_ids.contains(&m.model.provider_id()))
456            .cloned()
457            .collect::<Vec<_>>();
458
459        let available_models = all_models
460            .all
461            .values()
462            .flat_map(|models| models.iter())
463            .filter(|m| configured_provider_ids.contains(&m.model.provider_id()))
464            .cloned()
465            .collect::<Vec<_>>();
466
467        let matcher_rec = ModelMatcher::new(recommended_models, bg_executor.clone());
468        let matcher_all = ModelMatcher::new(available_models, bg_executor.clone());
469
470        let recommended = matcher_rec.exact_search(&query);
471        let all = matcher_all.fuzzy_search(&query);
472
473        let filtered_models = GroupedModels::new(all, recommended);
474
475        cx.spawn_in(window, async move |this, cx| {
476            this.update_in(cx, |this, window, cx| {
477                this.delegate.filtered_entries = filtered_models.entries();
478                // Finds the currently selected model in the list
479                let new_index =
480                    Self::get_active_model_index(&this.delegate.filtered_entries, active_model);
481                this.set_selected_index(new_index, Some(picker::Direction::Down), true, window, cx);
482                cx.notify();
483            })
484            .ok();
485        })
486    }
487
488    fn confirm(&mut self, _secondary: bool, window: &mut Window, cx: &mut Context<Picker<Self>>) {
489        if let Some(LanguageModelPickerEntry::Model(model_info)) =
490            self.filtered_entries.get(self.selected_index)
491        {
492            let model = model_info.model.clone();
493            (self.on_model_changed)(model.clone(), cx);
494
495            let current_index = self.selected_index;
496            self.set_selected_index(current_index, window, cx);
497
498            cx.emit(DismissEvent);
499        }
500    }
501
502    fn dismissed(&mut self, _: &mut Window, cx: &mut Context<Picker<Self>>) {
503        cx.emit(DismissEvent);
504    }
505
506    fn render_match(
507        &self,
508        ix: usize,
509        selected: bool,
510        _: &mut Window,
511        cx: &mut Context<Picker<Self>>,
512    ) -> Option<Self::ListItem> {
513        match self.filtered_entries.get(ix)? {
514            LanguageModelPickerEntry::Separator(title) => {
515                Some(ModelSelectorHeader::new(title, ix > 1).into_any_element())
516            }
517            LanguageModelPickerEntry::Model(model_info) => {
518                let active_model = (self.get_active_model)(cx);
519                let active_provider_id = active_model.as_ref().map(|m| m.provider.id());
520                let active_model_id = active_model.map(|m| m.model.id());
521
522                let is_selected = Some(model_info.model.provider_id()) == active_provider_id
523                    && Some(model_info.model.id()) == active_model_id;
524
525                let is_favorite = model_info.is_favorite;
526                let handle_action_click = {
527                    let model = model_info.model.clone();
528                    let on_toggle_favorite = self.on_toggle_favorite.clone();
529                    move |cx: &App| on_toggle_favorite(model.clone(), !is_favorite, cx)
530                };
531
532                Some(
533                    ModelSelectorListItem::new(ix, model_info.model.name().0)
534                        .icon(model_info.icon)
535                        .is_selected(is_selected)
536                        .is_focused(selected)
537                        .is_favorite(is_favorite)
538                        .on_toggle_favorite(handle_action_click)
539                        .into_any_element(),
540                )
541            }
542        }
543    }
544
545    fn render_footer(
546        &self,
547        _window: &mut Window,
548        _cx: &mut Context<Picker<Self>>,
549    ) -> Option<gpui::AnyElement> {
550        let focus_handle = self.focus_handle.clone();
551
552        if !self.popover_styles {
553            return None;
554        }
555
556        Some(ModelSelectorFooter::new(OpenSettings.boxed_clone(), focus_handle).into_any_element())
557    }
558}
559
560#[cfg(test)]
561mod tests {
562    use super::*;
563    use futures::{future::BoxFuture, stream::BoxStream};
564    use gpui::{AsyncApp, TestAppContext, http_client};
565    use language_model::{
566        LanguageModelCompletionError, LanguageModelCompletionEvent, LanguageModelId,
567        LanguageModelName, LanguageModelProviderId, LanguageModelProviderName,
568        LanguageModelRequest, LanguageModelToolChoice,
569    };
570    use ui::IconName;
571
572    #[derive(Clone)]
573    struct TestLanguageModel {
574        name: LanguageModelName,
575        id: LanguageModelId,
576        provider_id: LanguageModelProviderId,
577        provider_name: LanguageModelProviderName,
578    }
579
580    impl TestLanguageModel {
581        fn new(name: &str, provider: &str) -> Self {
582            Self {
583                name: LanguageModelName::from(name.to_string()),
584                id: LanguageModelId::from(name.to_string()),
585                provider_id: LanguageModelProviderId::from(provider.to_string()),
586                provider_name: LanguageModelProviderName::from(provider.to_string()),
587            }
588        }
589    }
590
591    impl LanguageModel for TestLanguageModel {
592        fn id(&self) -> LanguageModelId {
593            self.id.clone()
594        }
595
596        fn name(&self) -> LanguageModelName {
597            self.name.clone()
598        }
599
600        fn provider_id(&self) -> LanguageModelProviderId {
601            self.provider_id.clone()
602        }
603
604        fn provider_name(&self) -> LanguageModelProviderName {
605            self.provider_name.clone()
606        }
607
608        fn supports_tools(&self) -> bool {
609            false
610        }
611
612        fn supports_tool_choice(&self, _choice: LanguageModelToolChoice) -> bool {
613            false
614        }
615
616        fn supports_images(&self) -> bool {
617            false
618        }
619
620        fn telemetry_id(&self) -> String {
621            format!("{}/{}", self.provider_id.0, self.name.0)
622        }
623
624        fn max_token_count(&self) -> u64 {
625            1000
626        }
627
628        fn count_tokens(
629            &self,
630            _: LanguageModelRequest,
631            _: &App,
632        ) -> BoxFuture<'static, http_client::Result<u64>> {
633            unimplemented!()
634        }
635
636        fn stream_completion(
637            &self,
638            _: LanguageModelRequest,
639            _: &AsyncApp,
640        ) -> BoxFuture<
641            'static,
642            Result<
643                BoxStream<
644                    'static,
645                    Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,
646                >,
647                LanguageModelCompletionError,
648            >,
649        > {
650            unimplemented!()
651        }
652    }
653
654    fn create_models(model_specs: Vec<(&str, &str)>) -> Vec<ModelInfo> {
655        create_models_with_favorites(model_specs, vec![])
656    }
657
658    fn create_models_with_favorites(
659        model_specs: Vec<(&str, &str)>,
660        favorites: Vec<(&str, &str)>,
661    ) -> Vec<ModelInfo> {
662        model_specs
663            .into_iter()
664            .map(|(provider, name)| {
665                let is_favorite = favorites
666                    .iter()
667                    .any(|(fav_provider, fav_name)| *fav_provider == provider && *fav_name == name);
668                ModelInfo {
669                    model: Arc::new(TestLanguageModel::new(name, provider)),
670                    icon: IconName::Ai,
671                    is_favorite,
672                }
673            })
674            .collect()
675    }
676
677    fn assert_models_eq(result: Vec<ModelInfo>, expected: Vec<&str>) {
678        assert_eq!(
679            result.len(),
680            expected.len(),
681            "Number of models doesn't match"
682        );
683
684        for (i, expected_name) in expected.iter().enumerate() {
685            assert_eq!(
686                result[i].model.telemetry_id(),
687                *expected_name,
688                "Model at position {} doesn't match expected model",
689                i
690            );
691        }
692    }
693
694    #[gpui::test]
695    fn test_exact_match(cx: &mut TestAppContext) {
696        let models = create_models(vec![
697            ("zed", "Claude 3.7 Sonnet"),
698            ("zed", "Claude 3.7 Sonnet Thinking"),
699            ("zed", "gpt-4.1"),
700            ("zed", "gpt-4.1-nano"),
701            ("openai", "gpt-3.5-turbo"),
702            ("openai", "gpt-4.1"),
703            ("openai", "gpt-4.1-nano"),
704            ("ollama", "mistral"),
705            ("ollama", "deepseek"),
706        ]);
707        let matcher = ModelMatcher::new(models, cx.background_executor.clone());
708
709        // The order of models should be maintained, case doesn't matter
710        let results = matcher.exact_search("GPT-4.1");
711        assert_models_eq(
712            results,
713            vec![
714                "zed/gpt-4.1",
715                "zed/gpt-4.1-nano",
716                "openai/gpt-4.1",
717                "openai/gpt-4.1-nano",
718            ],
719        );
720    }
721
722    #[gpui::test]
723    fn test_fuzzy_match(cx: &mut TestAppContext) {
724        let models = create_models(vec![
725            ("zed", "Claude 3.7 Sonnet"),
726            ("zed", "Claude 3.7 Sonnet Thinking"),
727            ("zed", "gpt-4.1"),
728            ("zed", "gpt-4.1-nano"),
729            ("openai", "gpt-3.5-turbo"),
730            ("openai", "gpt-4.1"),
731            ("openai", "gpt-4.1-nano"),
732            ("ollama", "mistral"),
733            ("ollama", "deepseek"),
734        ]);
735        let matcher = ModelMatcher::new(models, cx.background_executor.clone());
736
737        // Results should preserve models order whenever possible.
738        // In the case below, `zed/gpt-4.1` and `openai/gpt-4.1` have identical
739        // similarity scores, but `zed/gpt-4.1` was higher in the models list,
740        // so it should appear first in the results.
741        let results = matcher.fuzzy_search("41");
742        assert_models_eq(
743            results,
744            vec![
745                "zed/gpt-4.1",
746                "openai/gpt-4.1",
747                "zed/gpt-4.1-nano",
748                "openai/gpt-4.1-nano",
749            ],
750        );
751
752        // Model provider should be searchable as well
753        let results = matcher.fuzzy_search("ol"); // meaning "ollama"
754        assert_models_eq(results, vec!["ollama/mistral", "ollama/deepseek"]);
755
756        // Fuzzy search
757        let results = matcher.fuzzy_search("z4n");
758        assert_models_eq(results, vec!["zed/gpt-4.1-nano"]);
759    }
760
761    #[gpui::test]
762    fn test_recommended_models_also_appear_in_other(_cx: &mut TestAppContext) {
763        let recommended_models = create_models(vec![("zed", "claude")]);
764        let all_models = create_models(vec![
765            ("zed", "claude"), // Should also appear in "other"
766            ("zed", "gemini"),
767            ("copilot", "o3"),
768        ]);
769
770        let grouped_models = GroupedModels::new(all_models, recommended_models);
771
772        let actual_all_models = grouped_models
773            .all
774            .values()
775            .flatten()
776            .cloned()
777            .collect::<Vec<_>>();
778
779        // Recommended models should also appear in "all"
780        assert_models_eq(
781            actual_all_models,
782            vec!["zed/claude", "zed/gemini", "copilot/o3"],
783        );
784    }
785
786    #[gpui::test]
787    fn test_models_from_different_providers(_cx: &mut TestAppContext) {
788        let recommended_models = create_models(vec![("zed", "claude")]);
789        let all_models = create_models(vec![
790            ("zed", "claude"), // Should also appear in "other"
791            ("zed", "gemini"),
792            ("copilot", "claude"), // Different provider, should appear in "other"
793        ]);
794
795        let grouped_models = GroupedModels::new(all_models, recommended_models);
796
797        let actual_all_models = grouped_models
798            .all
799            .values()
800            .flatten()
801            .cloned()
802            .collect::<Vec<_>>();
803
804        // All models should appear in "all" regardless of recommended status
805        assert_models_eq(
806            actual_all_models,
807            vec!["zed/claude", "zed/gemini", "copilot/claude"],
808        );
809    }
810
811    #[gpui::test]
812    fn test_favorites_section_appears_when_favorites_exist(_cx: &mut TestAppContext) {
813        let recommended_models = create_models(vec![("zed", "claude")]);
814        let all_models = create_models_with_favorites(
815            vec![("zed", "claude"), ("zed", "gemini"), ("openai", "gpt-4")],
816            vec![("zed", "gemini")],
817        );
818
819        let grouped_models = GroupedModels::new(all_models, recommended_models);
820        let entries = grouped_models.entries();
821
822        assert!(matches!(
823            entries.first(),
824            Some(LanguageModelPickerEntry::Separator(s)) if s == "Favorite"
825        ));
826
827        assert_models_eq(grouped_models.favorites, vec!["zed/gemini"]);
828    }
829
830    #[gpui::test]
831    fn test_no_favorites_section_when_no_favorites(_cx: &mut TestAppContext) {
832        let recommended_models = create_models(vec![("zed", "claude")]);
833        let all_models = create_models(vec![("zed", "claude"), ("zed", "gemini")]);
834
835        let grouped_models = GroupedModels::new(all_models, recommended_models);
836        let entries = grouped_models.entries();
837
838        assert!(matches!(
839            entries.first(),
840            Some(LanguageModelPickerEntry::Separator(s)) if s == "Recommended"
841        ));
842
843        assert!(grouped_models.favorites.is_empty());
844    }
845
846    #[gpui::test]
847    fn test_models_have_correct_actions(_cx: &mut TestAppContext) {
848        let recommended_models =
849            create_models_with_favorites(vec![("zed", "claude")], vec![("zed", "claude")]);
850        let all_models = create_models_with_favorites(
851            vec![("zed", "claude"), ("zed", "gemini"), ("openai", "gpt-4")],
852            vec![("zed", "claude")],
853        );
854
855        let grouped_models = GroupedModels::new(all_models, recommended_models);
856        let entries = grouped_models.entries();
857
858        for entry in &entries {
859            if let LanguageModelPickerEntry::Model(info) = entry {
860                if info.model.telemetry_id() == "zed/claude" {
861                    assert!(info.is_favorite, "zed/claude should be a favorite");
862                } else {
863                    assert!(
864                        !info.is_favorite,
865                        "{} should not be a favorite",
866                        info.model.telemetry_id()
867                    );
868                }
869            }
870        }
871    }
872
873    #[gpui::test]
874    fn test_favorites_appear_in_other_sections(_cx: &mut TestAppContext) {
875        let favorites = vec![("zed", "gemini"), ("openai", "gpt-4")];
876
877        let recommended_models =
878            create_models_with_favorites(vec![("zed", "claude")], favorites.clone());
879
880        let all_models = create_models_with_favorites(
881            vec![
882                ("zed", "claude"),
883                ("zed", "gemini"),
884                ("openai", "gpt-4"),
885                ("openai", "gpt-3.5"),
886            ],
887            favorites,
888        );
889
890        let grouped_models = GroupedModels::new(all_models, recommended_models);
891
892        assert_models_eq(grouped_models.favorites, vec!["zed/gemini", "openai/gpt-4"]);
893        assert_models_eq(grouped_models.recommended, vec!["zed/claude"]);
894        assert_models_eq(
895            grouped_models.all.values().flatten().cloned().collect(),
896            vec!["zed/claude", "zed/gemini", "openai/gpt-4", "openai/gpt-3.5"],
897        );
898    }
899}