1use anyhow::{Context as _, Result, anyhow};
2use collections::BTreeMap;
3use credentials_provider::CredentialsProvider;
4use editor::{Editor, EditorElement, EditorStyle};
5use futures::{FutureExt, Stream, StreamExt, future::BoxFuture};
6use google_ai::{
7 FunctionDeclaration, GenerateContentResponse, Part, SystemInstructions, UsageMetadata,
8};
9use gpui::{
10 AnyView, App, AsyncApp, Context, Entity, FontStyle, Subscription, Task, TextStyle, WhiteSpace,
11};
12use http_client::HttpClient;
13use language_model::{
14 AuthenticateError, LanguageModelCompletionEvent, LanguageModelToolSchemaFormat,
15 LanguageModelToolUse, LanguageModelToolUseId, MessageContent, StopReason,
16};
17use language_model::{
18 LanguageModel, LanguageModelId, LanguageModelName, LanguageModelProvider,
19 LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
20 LanguageModelRequest, RateLimiter, Role,
21};
22use schemars::JsonSchema;
23use serde::{Deserialize, Serialize};
24use settings::{Settings, SettingsStore};
25use std::pin::Pin;
26use std::sync::Arc;
27use strum::IntoEnumIterator;
28use theme::ThemeSettings;
29use ui::{Icon, IconName, List, Tooltip, prelude::*};
30use util::ResultExt;
31
32use crate::AllLanguageModelSettings;
33use crate::ui::InstructionListItem;
34
35const PROVIDER_ID: &str = "google";
36const PROVIDER_NAME: &str = "Google AI";
37
38#[derive(Default, Clone, Debug, PartialEq)]
39pub struct GoogleSettings {
40 pub api_url: String,
41 pub available_models: Vec<AvailableModel>,
42}
43
44#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
45pub struct AvailableModel {
46 name: String,
47 display_name: Option<String>,
48 max_tokens: usize,
49}
50
51pub struct GoogleLanguageModelProvider {
52 http_client: Arc<dyn HttpClient>,
53 state: gpui::Entity<State>,
54}
55
56pub struct State {
57 api_key: Option<String>,
58 api_key_from_env: bool,
59 _subscription: Subscription,
60}
61
62const GOOGLE_AI_API_KEY_VAR: &str = "GOOGLE_AI_API_KEY";
63
64impl State {
65 fn is_authenticated(&self) -> bool {
66 self.api_key.is_some()
67 }
68
69 fn reset_api_key(&self, cx: &mut Context<Self>) -> Task<Result<()>> {
70 let credentials_provider = <dyn CredentialsProvider>::global(cx);
71 let api_url = AllLanguageModelSettings::get_global(cx)
72 .google
73 .api_url
74 .clone();
75 cx.spawn(async move |this, cx| {
76 credentials_provider
77 .delete_credentials(&api_url, &cx)
78 .await
79 .log_err();
80 this.update(cx, |this, cx| {
81 this.api_key = None;
82 this.api_key_from_env = false;
83 cx.notify();
84 })
85 })
86 }
87
88 fn set_api_key(&mut self, api_key: String, cx: &mut Context<Self>) -> Task<Result<()>> {
89 let credentials_provider = <dyn CredentialsProvider>::global(cx);
90 let api_url = AllLanguageModelSettings::get_global(cx)
91 .google
92 .api_url
93 .clone();
94 cx.spawn(async move |this, cx| {
95 credentials_provider
96 .write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)
97 .await?;
98 this.update(cx, |this, cx| {
99 this.api_key = Some(api_key);
100 cx.notify();
101 })
102 })
103 }
104
105 fn authenticate(&self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
106 if self.is_authenticated() {
107 return Task::ready(Ok(()));
108 }
109
110 let credentials_provider = <dyn CredentialsProvider>::global(cx);
111 let api_url = AllLanguageModelSettings::get_global(cx)
112 .google
113 .api_url
114 .clone();
115
116 cx.spawn(async move |this, cx| {
117 let (api_key, from_env) = if let Ok(api_key) = std::env::var(GOOGLE_AI_API_KEY_VAR) {
118 (api_key, true)
119 } else {
120 let (_, api_key) = credentials_provider
121 .read_credentials(&api_url, &cx)
122 .await?
123 .ok_or(AuthenticateError::CredentialsNotFound)?;
124 (
125 String::from_utf8(api_key).context("invalid {PROVIDER_NAME} API key")?,
126 false,
127 )
128 };
129
130 this.update(cx, |this, cx| {
131 this.api_key = Some(api_key);
132 this.api_key_from_env = from_env;
133 cx.notify();
134 })?;
135
136 Ok(())
137 })
138 }
139}
140
141impl GoogleLanguageModelProvider {
142 pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
143 let state = cx.new(|cx| State {
144 api_key: None,
145 api_key_from_env: false,
146 _subscription: cx.observe_global::<SettingsStore>(|_, cx| {
147 cx.notify();
148 }),
149 });
150
151 Self { http_client, state }
152 }
153}
154
155impl LanguageModelProviderState for GoogleLanguageModelProvider {
156 type ObservableEntity = State;
157
158 fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
159 Some(self.state.clone())
160 }
161}
162
163impl LanguageModelProvider for GoogleLanguageModelProvider {
164 fn id(&self) -> LanguageModelProviderId {
165 LanguageModelProviderId(PROVIDER_ID.into())
166 }
167
168 fn name(&self) -> LanguageModelProviderName {
169 LanguageModelProviderName(PROVIDER_NAME.into())
170 }
171
172 fn icon(&self) -> IconName {
173 IconName::AiGoogle
174 }
175
176 fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
177 let model = google_ai::Model::default();
178 Some(Arc::new(GoogleLanguageModel {
179 id: LanguageModelId::from(model.id().to_string()),
180 model,
181 state: self.state.clone(),
182 http_client: self.http_client.clone(),
183 request_limiter: RateLimiter::new(4),
184 }))
185 }
186
187 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
188 let mut models = BTreeMap::default();
189
190 // Add base models from google_ai::Model::iter()
191 for model in google_ai::Model::iter() {
192 if !matches!(model, google_ai::Model::Custom { .. }) {
193 models.insert(model.id().to_string(), model);
194 }
195 }
196
197 // Override with available models from settings
198 for model in &AllLanguageModelSettings::get_global(cx)
199 .google
200 .available_models
201 {
202 models.insert(
203 model.name.clone(),
204 google_ai::Model::Custom {
205 name: model.name.clone(),
206 display_name: model.display_name.clone(),
207 max_tokens: model.max_tokens,
208 },
209 );
210 }
211
212 models
213 .into_values()
214 .map(|model| {
215 Arc::new(GoogleLanguageModel {
216 id: LanguageModelId::from(model.id().to_string()),
217 model,
218 state: self.state.clone(),
219 http_client: self.http_client.clone(),
220 request_limiter: RateLimiter::new(4),
221 }) as Arc<dyn LanguageModel>
222 })
223 .collect()
224 }
225
226 fn is_authenticated(&self, cx: &App) -> bool {
227 self.state.read(cx).is_authenticated()
228 }
229
230 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
231 self.state.update(cx, |state, cx| state.authenticate(cx))
232 }
233
234 fn configuration_view(&self, window: &mut Window, cx: &mut App) -> AnyView {
235 cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
236 .into()
237 }
238
239 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
240 self.state.update(cx, |state, cx| state.reset_api_key(cx))
241 }
242}
243
244pub struct GoogleLanguageModel {
245 id: LanguageModelId,
246 model: google_ai::Model,
247 state: gpui::Entity<State>,
248 http_client: Arc<dyn HttpClient>,
249 request_limiter: RateLimiter,
250}
251
252impl GoogleLanguageModel {
253 fn stream_completion(
254 &self,
255 request: google_ai::GenerateContentRequest,
256 cx: &AsyncApp,
257 ) -> BoxFuture<
258 'static,
259 Result<futures::stream::BoxStream<'static, Result<GenerateContentResponse>>>,
260 > {
261 let http_client = self.http_client.clone();
262
263 let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
264 let settings = &AllLanguageModelSettings::get_global(cx).google;
265 (state.api_key.clone(), settings.api_url.clone())
266 }) else {
267 return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
268 };
269
270 async move {
271 let api_key = api_key.ok_or_else(|| anyhow!("Missing Google API key"))?;
272 let request = google_ai::stream_generate_content(
273 http_client.as_ref(),
274 &api_url,
275 &api_key,
276 request,
277 );
278 request.await.context("failed to stream completion")
279 }
280 .boxed()
281 }
282}
283
284impl LanguageModel for GoogleLanguageModel {
285 fn id(&self) -> LanguageModelId {
286 self.id.clone()
287 }
288
289 fn name(&self) -> LanguageModelName {
290 LanguageModelName::from(self.model.display_name().to_string())
291 }
292
293 fn provider_id(&self) -> LanguageModelProviderId {
294 LanguageModelProviderId(PROVIDER_ID.into())
295 }
296
297 fn provider_name(&self) -> LanguageModelProviderName {
298 LanguageModelProviderName(PROVIDER_NAME.into())
299 }
300
301 fn supports_tools(&self) -> bool {
302 true
303 }
304
305 fn tool_input_format(&self) -> LanguageModelToolSchemaFormat {
306 LanguageModelToolSchemaFormat::JsonSchemaSubset
307 }
308
309 fn telemetry_id(&self) -> String {
310 format!("google/{}", self.model.id())
311 }
312
313 fn max_token_count(&self) -> usize {
314 self.model.max_token_count()
315 }
316
317 fn count_tokens(
318 &self,
319 request: LanguageModelRequest,
320 cx: &App,
321 ) -> BoxFuture<'static, Result<usize>> {
322 let request = into_google(request, self.model.id().to_string());
323 let http_client = self.http_client.clone();
324 let api_key = self.state.read(cx).api_key.clone();
325
326 let settings = &AllLanguageModelSettings::get_global(cx).google;
327 let api_url = settings.api_url.clone();
328
329 async move {
330 let api_key = api_key.ok_or_else(|| anyhow!("Missing Google API key"))?;
331 let response = google_ai::count_tokens(
332 http_client.as_ref(),
333 &api_url,
334 &api_key,
335 google_ai::CountTokensRequest {
336 contents: request.contents,
337 },
338 )
339 .await?;
340 Ok(response.total_tokens)
341 }
342 .boxed()
343 }
344
345 fn stream_completion(
346 &self,
347 request: LanguageModelRequest,
348 cx: &AsyncApp,
349 ) -> BoxFuture<
350 'static,
351 Result<futures::stream::BoxStream<'static, Result<LanguageModelCompletionEvent>>>,
352 > {
353 let request = into_google(request, self.model.id().to_string());
354 let request = self.stream_completion(request, cx);
355 let future = self.request_limiter.stream(async move {
356 let response = request.await.map_err(|err| anyhow!(err))?;
357 Ok(map_to_language_model_completion_events(response))
358 });
359 async move { Ok(future.await?.boxed()) }.boxed()
360 }
361}
362
363pub fn into_google(
364 mut request: LanguageModelRequest,
365 model: String,
366) -> google_ai::GenerateContentRequest {
367 fn map_content(content: Vec<MessageContent>) -> Vec<Part> {
368 content
369 .into_iter()
370 .filter_map(|content| match content {
371 language_model::MessageContent::Text(text) => {
372 if !text.is_empty() {
373 Some(Part::TextPart(google_ai::TextPart { text }))
374 } else {
375 None
376 }
377 }
378 language_model::MessageContent::Image(_) => None,
379 language_model::MessageContent::ToolUse(tool_use) => {
380 Some(Part::FunctionCallPart(google_ai::FunctionCallPart {
381 function_call: google_ai::FunctionCall {
382 name: tool_use.name.to_string(),
383 args: tool_use.input,
384 },
385 }))
386 }
387 language_model::MessageContent::ToolResult(tool_result) => Some(
388 Part::FunctionResponsePart(google_ai::FunctionResponsePart {
389 function_response: google_ai::FunctionResponse {
390 name: tool_result.tool_name.to_string(),
391 // The API expects a valid JSON object
392 response: serde_json::json!({
393 "output": tool_result.content
394 }),
395 },
396 }),
397 ),
398 })
399 .collect()
400 }
401
402 let system_instructions = if request
403 .messages
404 .first()
405 .map_or(false, |msg| matches!(msg.role, Role::System))
406 {
407 let message = request.messages.remove(0);
408 Some(SystemInstructions {
409 parts: map_content(message.content),
410 })
411 } else {
412 None
413 };
414
415 google_ai::GenerateContentRequest {
416 model,
417 system_instructions,
418 contents: request
419 .messages
420 .into_iter()
421 .map(|message| google_ai::Content {
422 parts: map_content(message.content),
423 role: match message.role {
424 Role::User => google_ai::Role::User,
425 Role::Assistant => google_ai::Role::Model,
426 Role::System => google_ai::Role::User, // Google AI doesn't have a system role
427 },
428 })
429 .collect(),
430 generation_config: Some(google_ai::GenerationConfig {
431 candidate_count: Some(1),
432 stop_sequences: Some(request.stop),
433 max_output_tokens: None,
434 temperature: request.temperature.map(|t| t as f64).or(Some(1.0)),
435 top_p: None,
436 top_k: None,
437 }),
438 safety_settings: None,
439 tools: (request.tools.len() > 0).then(|| {
440 vec![google_ai::Tool {
441 function_declarations: request
442 .tools
443 .into_iter()
444 .map(|tool| FunctionDeclaration {
445 name: tool.name,
446 description: tool.description,
447 parameters: tool.input_schema,
448 })
449 .collect(),
450 }]
451 }),
452 tool_config: None,
453 }
454}
455
456pub fn map_to_language_model_completion_events(
457 events: Pin<Box<dyn Send + Stream<Item = Result<GenerateContentResponse>>>>,
458) -> impl Stream<Item = Result<LanguageModelCompletionEvent>> {
459 use std::sync::atomic::{AtomicU64, Ordering};
460
461 static TOOL_CALL_COUNTER: AtomicU64 = AtomicU64::new(0);
462
463 struct State {
464 events: Pin<Box<dyn Send + Stream<Item = Result<GenerateContentResponse>>>>,
465 usage: UsageMetadata,
466 stop_reason: StopReason,
467 }
468
469 futures::stream::unfold(
470 State {
471 events,
472 usage: UsageMetadata::default(),
473 stop_reason: StopReason::EndTurn,
474 },
475 |mut state| async move {
476 if let Some(event) = state.events.next().await {
477 match event {
478 Ok(event) => {
479 let mut events: Vec<Result<LanguageModelCompletionEvent>> = Vec::new();
480 let mut wants_to_use_tool = false;
481 if let Some(usage_metadata) = event.usage_metadata {
482 update_usage(&mut state.usage, &usage_metadata);
483 events.push(Ok(LanguageModelCompletionEvent::UsageUpdate(
484 convert_usage(&state.usage),
485 )))
486 }
487 if let Some(candidates) = event.candidates {
488 for candidate in candidates {
489 if let Some(finish_reason) = candidate.finish_reason.as_deref() {
490 state.stop_reason = match finish_reason {
491 "STOP" => StopReason::EndTurn,
492 "MAX_TOKENS" => StopReason::MaxTokens,
493 _ => {
494 log::error!(
495 "Unexpected google finish_reason: {finish_reason}"
496 );
497 StopReason::EndTurn
498 }
499 };
500 }
501 candidate
502 .content
503 .parts
504 .into_iter()
505 .for_each(|part| match part {
506 Part::TextPart(text_part) => events.push(Ok(
507 LanguageModelCompletionEvent::Text(text_part.text),
508 )),
509 Part::InlineDataPart(_) => {}
510 Part::FunctionCallPart(function_call_part) => {
511 wants_to_use_tool = true;
512 let name: Arc<str> =
513 function_call_part.function_call.name.into();
514 let next_tool_id =
515 TOOL_CALL_COUNTER.fetch_add(1, Ordering::SeqCst);
516 let id: LanguageModelToolUseId =
517 format!("{}-{}", name, next_tool_id).into();
518
519 events.push(Ok(LanguageModelCompletionEvent::ToolUse(
520 LanguageModelToolUse {
521 id,
522 name,
523 input: function_call_part.function_call.args,
524 },
525 )));
526 }
527 Part::FunctionResponsePart(_) => {}
528 });
529 }
530 }
531
532 // Even when Gemini wants to use a Tool, the API
533 // responds with `finish_reason: STOP`
534 if wants_to_use_tool {
535 state.stop_reason = StopReason::ToolUse;
536 }
537 events.push(Ok(LanguageModelCompletionEvent::Stop(state.stop_reason)));
538 return Some((events, state));
539 }
540 Err(err) => {
541 return Some((vec![Err(anyhow!(err))], state));
542 }
543 }
544 }
545
546 None
547 },
548 )
549 .flat_map(futures::stream::iter)
550}
551
552pub fn count_google_tokens(
553 request: LanguageModelRequest,
554 cx: &App,
555) -> BoxFuture<'static, Result<usize>> {
556 // We couldn't use the GoogleLanguageModelProvider to count tokens because the github copilot doesn't have the access to google_ai directly.
557 // So we have to use tokenizer from tiktoken_rs to count tokens.
558 cx.background_spawn(async move {
559 let messages = request
560 .messages
561 .into_iter()
562 .map(|message| tiktoken_rs::ChatCompletionRequestMessage {
563 role: match message.role {
564 Role::User => "user".into(),
565 Role::Assistant => "assistant".into(),
566 Role::System => "system".into(),
567 },
568 content: Some(message.string_contents()),
569 name: None,
570 function_call: None,
571 })
572 .collect::<Vec<_>>();
573
574 // Tiktoken doesn't yet support these models, so we manually use the
575 // same tokenizer as GPT-4.
576 tiktoken_rs::num_tokens_from_messages("gpt-4", &messages)
577 })
578 .boxed()
579}
580
581fn update_usage(usage: &mut UsageMetadata, new: &UsageMetadata) {
582 if let Some(prompt_token_count) = new.prompt_token_count {
583 usage.prompt_token_count = Some(prompt_token_count);
584 }
585 if let Some(cached_content_token_count) = new.cached_content_token_count {
586 usage.cached_content_token_count = Some(cached_content_token_count);
587 }
588 if let Some(candidates_token_count) = new.candidates_token_count {
589 usage.candidates_token_count = Some(candidates_token_count);
590 }
591 if let Some(tool_use_prompt_token_count) = new.tool_use_prompt_token_count {
592 usage.tool_use_prompt_token_count = Some(tool_use_prompt_token_count);
593 }
594 if let Some(thoughts_token_count) = new.thoughts_token_count {
595 usage.thoughts_token_count = Some(thoughts_token_count);
596 }
597 if let Some(total_token_count) = new.total_token_count {
598 usage.total_token_count = Some(total_token_count);
599 }
600}
601
602fn convert_usage(usage: &UsageMetadata) -> language_model::TokenUsage {
603 language_model::TokenUsage {
604 input_tokens: usage.prompt_token_count.unwrap_or(0) as u32,
605 output_tokens: usage.candidates_token_count.unwrap_or(0) as u32,
606 cache_read_input_tokens: usage.cached_content_token_count.unwrap_or(0) as u32,
607 cache_creation_input_tokens: 0,
608 }
609}
610
611struct ConfigurationView {
612 api_key_editor: Entity<Editor>,
613 state: gpui::Entity<State>,
614 load_credentials_task: Option<Task<()>>,
615}
616
617impl ConfigurationView {
618 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
619 cx.observe(&state, |_, _, cx| {
620 cx.notify();
621 })
622 .detach();
623
624 let load_credentials_task = Some(cx.spawn_in(window, {
625 let state = state.clone();
626 async move |this, cx| {
627 if let Some(task) = state
628 .update(cx, |state, cx| state.authenticate(cx))
629 .log_err()
630 {
631 // We don't log an error, because "not signed in" is also an error.
632 let _ = task.await;
633 }
634 this.update(cx, |this, cx| {
635 this.load_credentials_task = None;
636 cx.notify();
637 })
638 .log_err();
639 }
640 }));
641
642 Self {
643 api_key_editor: cx.new(|cx| {
644 let mut editor = Editor::single_line(window, cx);
645 editor.set_placeholder_text("AIzaSy...", cx);
646 editor
647 }),
648 state,
649 load_credentials_task,
650 }
651 }
652
653 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
654 let api_key = self.api_key_editor.read(cx).text(cx);
655 if api_key.is_empty() {
656 return;
657 }
658
659 let state = self.state.clone();
660 cx.spawn_in(window, async move |_, cx| {
661 state
662 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
663 .await
664 })
665 .detach_and_log_err(cx);
666
667 cx.notify();
668 }
669
670 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
671 self.api_key_editor
672 .update(cx, |editor, cx| editor.set_text("", window, cx));
673
674 let state = self.state.clone();
675 cx.spawn_in(window, async move |_, cx| {
676 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
677 })
678 .detach_and_log_err(cx);
679
680 cx.notify();
681 }
682
683 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
684 let settings = ThemeSettings::get_global(cx);
685 let text_style = TextStyle {
686 color: cx.theme().colors().text,
687 font_family: settings.ui_font.family.clone(),
688 font_features: settings.ui_font.features.clone(),
689 font_fallbacks: settings.ui_font.fallbacks.clone(),
690 font_size: rems(0.875).into(),
691 font_weight: settings.ui_font.weight,
692 font_style: FontStyle::Normal,
693 line_height: relative(1.3),
694 white_space: WhiteSpace::Normal,
695 ..Default::default()
696 };
697 EditorElement::new(
698 &self.api_key_editor,
699 EditorStyle {
700 background: cx.theme().colors().editor_background,
701 local_player: cx.theme().players().local(),
702 text: text_style,
703 ..Default::default()
704 },
705 )
706 }
707
708 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
709 !self.state.read(cx).is_authenticated()
710 }
711}
712
713impl Render for ConfigurationView {
714 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
715 let env_var_set = self.state.read(cx).api_key_from_env;
716
717 if self.load_credentials_task.is_some() {
718 div().child(Label::new("Loading credentials...")).into_any()
719 } else if self.should_render_editor(cx) {
720 v_flex()
721 .size_full()
722 .on_action(cx.listener(Self::save_api_key))
723 .child(Label::new("To use Zed's assistant with Google AI, you need to add an API key. Follow these steps:"))
724 .child(
725 List::new()
726 .child(InstructionListItem::new(
727 "Create one by visiting",
728 Some("Google AI's console"),
729 Some("https://aistudio.google.com/app/apikey"),
730 ))
731 .child(InstructionListItem::text_only(
732 "Paste your API key below and hit enter to start using the assistant",
733 )),
734 )
735 .child(
736 h_flex()
737 .w_full()
738 .my_2()
739 .px_2()
740 .py_1()
741 .bg(cx.theme().colors().editor_background)
742 .border_1()
743 .border_color(cx.theme().colors().border_variant)
744 .rounded_sm()
745 .child(self.render_api_key_editor(cx)),
746 )
747 .child(
748 Label::new(
749 format!("You can also assign the {GOOGLE_AI_API_KEY_VAR} environment variable and restart Zed."),
750 )
751 .size(LabelSize::Small).color(Color::Muted),
752 )
753 .into_any()
754 } else {
755 h_flex()
756 .size_full()
757 .justify_between()
758 .child(
759 h_flex()
760 .gap_1()
761 .child(Icon::new(IconName::Check).color(Color::Success))
762 .child(Label::new(if env_var_set {
763 format!("API key set in {GOOGLE_AI_API_KEY_VAR} environment variable.")
764 } else {
765 "API key configured.".to_string()
766 })),
767 )
768 .child(
769 Button::new("reset-key", "Reset key")
770 .icon(Some(IconName::Trash))
771 .icon_size(IconSize::Small)
772 .icon_position(IconPosition::Start)
773 .disabled(env_var_set)
774 .when(env_var_set, |this| {
775 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {GOOGLE_AI_API_KEY_VAR} environment variable.")))
776 })
777 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
778 )
779 .into_any()
780 }
781 }
782}