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, SystemInstruction, 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, LanguageModelCompletionError, LanguageModelCompletionEvent,
15 LanguageModelToolSchemaFormat, LanguageModelToolUse, LanguageModelToolUseId, MessageContent,
16 StopReason,
17};
18use language_model::{
19 LanguageModel, LanguageModelId, LanguageModelName, LanguageModelProvider,
20 LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
21 LanguageModelRequest, RateLimiter, Role,
22};
23use schemars::JsonSchema;
24use serde::{Deserialize, Serialize};
25use settings::{Settings, SettingsStore};
26use std::pin::Pin;
27use std::sync::Arc;
28use strum::IntoEnumIterator;
29use theme::ThemeSettings;
30use ui::{Icon, IconName, List, Tooltip, prelude::*};
31use util::ResultExt;
32
33use crate::AllLanguageModelSettings;
34use crate::ui::InstructionListItem;
35
36const PROVIDER_ID: &str = "google";
37const PROVIDER_NAME: &str = "Google AI";
38
39#[derive(Default, Clone, Debug, PartialEq)]
40pub struct GoogleSettings {
41 pub api_url: String,
42 pub available_models: Vec<AvailableModel>,
43}
44
45#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
46pub struct AvailableModel {
47 name: String,
48 display_name: Option<String>,
49 max_tokens: usize,
50}
51
52pub struct GoogleLanguageModelProvider {
53 http_client: Arc<dyn HttpClient>,
54 state: gpui::Entity<State>,
55}
56
57pub struct State {
58 api_key: Option<String>,
59 api_key_from_env: bool,
60 _subscription: Subscription,
61}
62
63const GOOGLE_AI_API_KEY_VAR: &str = "GOOGLE_AI_API_KEY";
64
65impl State {
66 fn is_authenticated(&self) -> bool {
67 self.api_key.is_some()
68 }
69
70 fn reset_api_key(&self, cx: &mut Context<Self>) -> Task<Result<()>> {
71 let credentials_provider = <dyn CredentialsProvider>::global(cx);
72 let api_url = AllLanguageModelSettings::get_global(cx)
73 .google
74 .api_url
75 .clone();
76 cx.spawn(async move |this, cx| {
77 credentials_provider
78 .delete_credentials(&api_url, &cx)
79 .await
80 .log_err();
81 this.update(cx, |this, cx| {
82 this.api_key = None;
83 this.api_key_from_env = false;
84 cx.notify();
85 })
86 })
87 }
88
89 fn set_api_key(&mut self, api_key: String, cx: &mut Context<Self>) -> Task<Result<()>> {
90 let credentials_provider = <dyn CredentialsProvider>::global(cx);
91 let api_url = AllLanguageModelSettings::get_global(cx)
92 .google
93 .api_url
94 .clone();
95 cx.spawn(async move |this, cx| {
96 credentials_provider
97 .write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)
98 .await?;
99 this.update(cx, |this, cx| {
100 this.api_key = Some(api_key);
101 cx.notify();
102 })
103 })
104 }
105
106 fn authenticate(&self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
107 if self.is_authenticated() {
108 return Task::ready(Ok(()));
109 }
110
111 let credentials_provider = <dyn CredentialsProvider>::global(cx);
112 let api_url = AllLanguageModelSettings::get_global(cx)
113 .google
114 .api_url
115 .clone();
116
117 cx.spawn(async move |this, cx| {
118 let (api_key, from_env) = if let Ok(api_key) = std::env::var(GOOGLE_AI_API_KEY_VAR) {
119 (api_key, true)
120 } else {
121 let (_, api_key) = credentials_provider
122 .read_credentials(&api_url, &cx)
123 .await?
124 .ok_or(AuthenticateError::CredentialsNotFound)?;
125 (
126 String::from_utf8(api_key).context("invalid {PROVIDER_NAME} API key")?,
127 false,
128 )
129 };
130
131 this.update(cx, |this, cx| {
132 this.api_key = Some(api_key);
133 this.api_key_from_env = from_env;
134 cx.notify();
135 })?;
136
137 Ok(())
138 })
139 }
140}
141
142impl GoogleLanguageModelProvider {
143 pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
144 let state = cx.new(|cx| State {
145 api_key: None,
146 api_key_from_env: false,
147 _subscription: cx.observe_global::<SettingsStore>(|_, cx| {
148 cx.notify();
149 }),
150 });
151
152 Self { http_client, state }
153 }
154
155 fn create_language_model(&self, model: google_ai::Model) -> Arc<dyn LanguageModel> {
156 Arc::new(GoogleLanguageModel {
157 id: LanguageModelId::from(model.id().to_string()),
158 model,
159 state: self.state.clone(),
160 http_client: self.http_client.clone(),
161 request_limiter: RateLimiter::new(4),
162 })
163 }
164}
165
166impl LanguageModelProviderState for GoogleLanguageModelProvider {
167 type ObservableEntity = State;
168
169 fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
170 Some(self.state.clone())
171 }
172}
173
174impl LanguageModelProvider for GoogleLanguageModelProvider {
175 fn id(&self) -> LanguageModelProviderId {
176 LanguageModelProviderId(PROVIDER_ID.into())
177 }
178
179 fn name(&self) -> LanguageModelProviderName {
180 LanguageModelProviderName(PROVIDER_NAME.into())
181 }
182
183 fn icon(&self) -> IconName {
184 IconName::AiGoogle
185 }
186
187 fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
188 Some(self.create_language_model(google_ai::Model::default()))
189 }
190
191 fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
192 Some(self.create_language_model(google_ai::Model::default_fast()))
193 }
194
195 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
196 let mut models = BTreeMap::default();
197
198 // Add base models from google_ai::Model::iter()
199 for model in google_ai::Model::iter() {
200 if !matches!(model, google_ai::Model::Custom { .. }) {
201 models.insert(model.id().to_string(), model);
202 }
203 }
204
205 // Override with available models from settings
206 for model in &AllLanguageModelSettings::get_global(cx)
207 .google
208 .available_models
209 {
210 models.insert(
211 model.name.clone(),
212 google_ai::Model::Custom {
213 name: model.name.clone(),
214 display_name: model.display_name.clone(),
215 max_tokens: model.max_tokens,
216 },
217 );
218 }
219
220 models
221 .into_values()
222 .map(|model| {
223 Arc::new(GoogleLanguageModel {
224 id: LanguageModelId::from(model.id().to_string()),
225 model,
226 state: self.state.clone(),
227 http_client: self.http_client.clone(),
228 request_limiter: RateLimiter::new(4),
229 }) as Arc<dyn LanguageModel>
230 })
231 .collect()
232 }
233
234 fn is_authenticated(&self, cx: &App) -> bool {
235 self.state.read(cx).is_authenticated()
236 }
237
238 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
239 self.state.update(cx, |state, cx| state.authenticate(cx))
240 }
241
242 fn configuration_view(&self, window: &mut Window, cx: &mut App) -> AnyView {
243 cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
244 .into()
245 }
246
247 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
248 self.state.update(cx, |state, cx| state.reset_api_key(cx))
249 }
250}
251
252pub struct GoogleLanguageModel {
253 id: LanguageModelId,
254 model: google_ai::Model,
255 state: gpui::Entity<State>,
256 http_client: Arc<dyn HttpClient>,
257 request_limiter: RateLimiter,
258}
259
260impl GoogleLanguageModel {
261 fn stream_completion(
262 &self,
263 request: google_ai::GenerateContentRequest,
264 cx: &AsyncApp,
265 ) -> BoxFuture<
266 'static,
267 Result<futures::stream::BoxStream<'static, Result<GenerateContentResponse>>>,
268 > {
269 let http_client = self.http_client.clone();
270
271 let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
272 let settings = &AllLanguageModelSettings::get_global(cx).google;
273 (state.api_key.clone(), settings.api_url.clone())
274 }) else {
275 return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
276 };
277
278 async move {
279 let api_key = api_key.ok_or_else(|| anyhow!("Missing Google API key"))?;
280 let request = google_ai::stream_generate_content(
281 http_client.as_ref(),
282 &api_url,
283 &api_key,
284 request,
285 );
286 request.await.context("failed to stream completion")
287 }
288 .boxed()
289 }
290}
291
292impl LanguageModel for GoogleLanguageModel {
293 fn id(&self) -> LanguageModelId {
294 self.id.clone()
295 }
296
297 fn name(&self) -> LanguageModelName {
298 LanguageModelName::from(self.model.display_name().to_string())
299 }
300
301 fn provider_id(&self) -> LanguageModelProviderId {
302 LanguageModelProviderId(PROVIDER_ID.into())
303 }
304
305 fn provider_name(&self) -> LanguageModelProviderName {
306 LanguageModelProviderName(PROVIDER_NAME.into())
307 }
308
309 fn supports_tools(&self) -> bool {
310 true
311 }
312
313 fn tool_input_format(&self) -> LanguageModelToolSchemaFormat {
314 LanguageModelToolSchemaFormat::JsonSchemaSubset
315 }
316
317 fn telemetry_id(&self) -> String {
318 format!("google/{}", self.model.id())
319 }
320
321 fn max_token_count(&self) -> usize {
322 self.model.max_token_count()
323 }
324
325 fn count_tokens(
326 &self,
327 request: LanguageModelRequest,
328 cx: &App,
329 ) -> BoxFuture<'static, Result<usize>> {
330 let model_id = self.model.id().to_string();
331 let request = into_google(request, model_id.clone());
332 let http_client = self.http_client.clone();
333 let api_key = self.state.read(cx).api_key.clone();
334
335 let settings = &AllLanguageModelSettings::get_global(cx).google;
336 let api_url = settings.api_url.clone();
337
338 async move {
339 let api_key = api_key.ok_or_else(|| anyhow!("Missing Google API key"))?;
340 let response = google_ai::count_tokens(
341 http_client.as_ref(),
342 &api_url,
343 &api_key,
344 &model_id,
345 google_ai::CountTokensRequest {
346 contents: request.contents,
347 },
348 )
349 .await?;
350 Ok(response.total_tokens)
351 }
352 .boxed()
353 }
354
355 fn stream_completion(
356 &self,
357 request: LanguageModelRequest,
358 cx: &AsyncApp,
359 ) -> BoxFuture<
360 'static,
361 Result<
362 futures::stream::BoxStream<
363 'static,
364 Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,
365 >,
366 >,
367 > {
368 let request = into_google(request, self.model.id().to_string());
369 let request = self.stream_completion(request, cx);
370 let future = self.request_limiter.stream(async move {
371 let response = request
372 .await
373 .map_err(|err| LanguageModelCompletionError::Other(anyhow!(err)))?;
374 Ok(map_to_language_model_completion_events(response))
375 });
376 async move { Ok(future.await?.boxed()) }.boxed()
377 }
378}
379
380pub fn into_google(
381 mut request: LanguageModelRequest,
382 model: String,
383) -> google_ai::GenerateContentRequest {
384 fn map_content(content: Vec<MessageContent>) -> Vec<Part> {
385 content
386 .into_iter()
387 .filter_map(|content| match content {
388 language_model::MessageContent::Text(text)
389 | language_model::MessageContent::Thinking { text, .. } => {
390 if !text.is_empty() {
391 Some(Part::TextPart(google_ai::TextPart { text }))
392 } else {
393 None
394 }
395 }
396 language_model::MessageContent::RedactedThinking(_) => None,
397 language_model::MessageContent::Image(image) => {
398 Some(Part::InlineDataPart(google_ai::InlineDataPart {
399 inline_data: google_ai::GenerativeContentBlob {
400 mime_type: "image/png".to_string(),
401 data: image.source.to_string(),
402 },
403 }))
404 }
405 language_model::MessageContent::ToolUse(tool_use) => {
406 Some(Part::FunctionCallPart(google_ai::FunctionCallPart {
407 function_call: google_ai::FunctionCall {
408 name: tool_use.name.to_string(),
409 args: tool_use.input,
410 },
411 }))
412 }
413 language_model::MessageContent::ToolResult(tool_result) => Some(
414 Part::FunctionResponsePart(google_ai::FunctionResponsePart {
415 function_response: google_ai::FunctionResponse {
416 name: tool_result.tool_name.to_string(),
417 // The API expects a valid JSON object
418 response: serde_json::json!({
419 "output": tool_result.content
420 }),
421 },
422 }),
423 ),
424 })
425 .collect()
426 }
427
428 let system_instructions = if request
429 .messages
430 .first()
431 .map_or(false, |msg| matches!(msg.role, Role::System))
432 {
433 let message = request.messages.remove(0);
434 Some(SystemInstruction {
435 parts: map_content(message.content),
436 })
437 } else {
438 None
439 };
440
441 google_ai::GenerateContentRequest {
442 model,
443 system_instruction: system_instructions,
444 contents: request
445 .messages
446 .into_iter()
447 .filter_map(|message| {
448 let parts = map_content(message.content);
449 if parts.is_empty() {
450 None
451 } else {
452 Some(google_ai::Content {
453 parts,
454 role: match message.role {
455 Role::User => google_ai::Role::User,
456 Role::Assistant => google_ai::Role::Model,
457 Role::System => google_ai::Role::User, // Google AI doesn't have a system role
458 },
459 })
460 }
461 })
462 .collect(),
463 generation_config: Some(google_ai::GenerationConfig {
464 candidate_count: Some(1),
465 stop_sequences: Some(request.stop),
466 max_output_tokens: None,
467 temperature: request.temperature.map(|t| t as f64).or(Some(1.0)),
468 top_p: None,
469 top_k: None,
470 }),
471 safety_settings: None,
472 tools: (request.tools.len() > 0).then(|| {
473 vec![google_ai::Tool {
474 function_declarations: request
475 .tools
476 .into_iter()
477 .map(|tool| FunctionDeclaration {
478 name: tool.name,
479 description: tool.description,
480 parameters: tool.input_schema,
481 })
482 .collect(),
483 }]
484 }),
485 tool_config: None,
486 }
487}
488
489pub fn map_to_language_model_completion_events(
490 events: Pin<Box<dyn Send + Stream<Item = Result<GenerateContentResponse>>>>,
491) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
492 use std::sync::atomic::{AtomicU64, Ordering};
493
494 static TOOL_CALL_COUNTER: AtomicU64 = AtomicU64::new(0);
495
496 struct State {
497 events: Pin<Box<dyn Send + Stream<Item = Result<GenerateContentResponse>>>>,
498 usage: UsageMetadata,
499 stop_reason: StopReason,
500 }
501
502 futures::stream::unfold(
503 State {
504 events,
505 usage: UsageMetadata::default(),
506 stop_reason: StopReason::EndTurn,
507 },
508 |mut state| async move {
509 if let Some(event) = state.events.next().await {
510 match event {
511 Ok(event) => {
512 let mut events: Vec<_> = Vec::new();
513 let mut wants_to_use_tool = false;
514 if let Some(usage_metadata) = event.usage_metadata {
515 update_usage(&mut state.usage, &usage_metadata);
516 events.push(Ok(LanguageModelCompletionEvent::UsageUpdate(
517 convert_usage(&state.usage),
518 )))
519 }
520 if let Some(candidates) = event.candidates {
521 for candidate in candidates {
522 if let Some(finish_reason) = candidate.finish_reason.as_deref() {
523 state.stop_reason = match finish_reason {
524 "STOP" => StopReason::EndTurn,
525 "MAX_TOKENS" => StopReason::MaxTokens,
526 _ => {
527 log::error!(
528 "Unexpected google finish_reason: {finish_reason}"
529 );
530 StopReason::EndTurn
531 }
532 };
533 }
534 candidate
535 .content
536 .parts
537 .into_iter()
538 .for_each(|part| match part {
539 Part::TextPart(text_part) => events.push(Ok(
540 LanguageModelCompletionEvent::Text(text_part.text),
541 )),
542 Part::InlineDataPart(_) => {}
543 Part::FunctionCallPart(function_call_part) => {
544 wants_to_use_tool = true;
545 let name: Arc<str> =
546 function_call_part.function_call.name.into();
547 let next_tool_id =
548 TOOL_CALL_COUNTER.fetch_add(1, Ordering::SeqCst);
549 let id: LanguageModelToolUseId =
550 format!("{}-{}", name, next_tool_id).into();
551
552 events.push(Ok(LanguageModelCompletionEvent::ToolUse(
553 LanguageModelToolUse {
554 id,
555 name,
556 is_input_complete: true,
557 raw_input: function_call_part
558 .function_call
559 .args
560 .to_string(),
561 input: function_call_part.function_call.args,
562 },
563 )));
564 }
565 Part::FunctionResponsePart(_) => {}
566 });
567 }
568 }
569
570 // Even when Gemini wants to use a Tool, the API
571 // responds with `finish_reason: STOP`
572 if wants_to_use_tool {
573 state.stop_reason = StopReason::ToolUse;
574 }
575 events.push(Ok(LanguageModelCompletionEvent::Stop(state.stop_reason)));
576 return Some((events, state));
577 }
578 Err(err) => {
579 return Some((
580 vec![Err(LanguageModelCompletionError::Other(anyhow!(err)))],
581 state,
582 ));
583 }
584 }
585 }
586
587 None
588 },
589 )
590 .flat_map(futures::stream::iter)
591}
592
593pub fn count_google_tokens(
594 request: LanguageModelRequest,
595 cx: &App,
596) -> BoxFuture<'static, Result<usize>> {
597 // We couldn't use the GoogleLanguageModelProvider to count tokens because the github copilot doesn't have the access to google_ai directly.
598 // So we have to use tokenizer from tiktoken_rs to count tokens.
599 cx.background_spawn(async move {
600 let messages = request
601 .messages
602 .into_iter()
603 .map(|message| tiktoken_rs::ChatCompletionRequestMessage {
604 role: match message.role {
605 Role::User => "user".into(),
606 Role::Assistant => "assistant".into(),
607 Role::System => "system".into(),
608 },
609 content: Some(message.string_contents()),
610 name: None,
611 function_call: None,
612 })
613 .collect::<Vec<_>>();
614
615 // Tiktoken doesn't yet support these models, so we manually use the
616 // same tokenizer as GPT-4.
617 tiktoken_rs::num_tokens_from_messages("gpt-4", &messages)
618 })
619 .boxed()
620}
621
622fn update_usage(usage: &mut UsageMetadata, new: &UsageMetadata) {
623 if let Some(prompt_token_count) = new.prompt_token_count {
624 usage.prompt_token_count = Some(prompt_token_count);
625 }
626 if let Some(cached_content_token_count) = new.cached_content_token_count {
627 usage.cached_content_token_count = Some(cached_content_token_count);
628 }
629 if let Some(candidates_token_count) = new.candidates_token_count {
630 usage.candidates_token_count = Some(candidates_token_count);
631 }
632 if let Some(tool_use_prompt_token_count) = new.tool_use_prompt_token_count {
633 usage.tool_use_prompt_token_count = Some(tool_use_prompt_token_count);
634 }
635 if let Some(thoughts_token_count) = new.thoughts_token_count {
636 usage.thoughts_token_count = Some(thoughts_token_count);
637 }
638 if let Some(total_token_count) = new.total_token_count {
639 usage.total_token_count = Some(total_token_count);
640 }
641}
642
643fn convert_usage(usage: &UsageMetadata) -> language_model::TokenUsage {
644 language_model::TokenUsage {
645 input_tokens: usage.prompt_token_count.unwrap_or(0) as u32,
646 output_tokens: usage.candidates_token_count.unwrap_or(0) as u32,
647 cache_read_input_tokens: usage.cached_content_token_count.unwrap_or(0) as u32,
648 cache_creation_input_tokens: 0,
649 }
650}
651
652struct ConfigurationView {
653 api_key_editor: Entity<Editor>,
654 state: gpui::Entity<State>,
655 load_credentials_task: Option<Task<()>>,
656}
657
658impl ConfigurationView {
659 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
660 cx.observe(&state, |_, _, cx| {
661 cx.notify();
662 })
663 .detach();
664
665 let load_credentials_task = Some(cx.spawn_in(window, {
666 let state = state.clone();
667 async move |this, cx| {
668 if let Some(task) = state
669 .update(cx, |state, cx| state.authenticate(cx))
670 .log_err()
671 {
672 // We don't log an error, because "not signed in" is also an error.
673 let _ = task.await;
674 }
675 this.update(cx, |this, cx| {
676 this.load_credentials_task = None;
677 cx.notify();
678 })
679 .log_err();
680 }
681 }));
682
683 Self {
684 api_key_editor: cx.new(|cx| {
685 let mut editor = Editor::single_line(window, cx);
686 editor.set_placeholder_text("AIzaSy...", cx);
687 editor
688 }),
689 state,
690 load_credentials_task,
691 }
692 }
693
694 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
695 let api_key = self.api_key_editor.read(cx).text(cx);
696 if api_key.is_empty() {
697 return;
698 }
699
700 let state = self.state.clone();
701 cx.spawn_in(window, async move |_, cx| {
702 state
703 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
704 .await
705 })
706 .detach_and_log_err(cx);
707
708 cx.notify();
709 }
710
711 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
712 self.api_key_editor
713 .update(cx, |editor, cx| editor.set_text("", window, cx));
714
715 let state = self.state.clone();
716 cx.spawn_in(window, async move |_, cx| {
717 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
718 })
719 .detach_and_log_err(cx);
720
721 cx.notify();
722 }
723
724 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
725 let settings = ThemeSettings::get_global(cx);
726 let text_style = TextStyle {
727 color: cx.theme().colors().text,
728 font_family: settings.ui_font.family.clone(),
729 font_features: settings.ui_font.features.clone(),
730 font_fallbacks: settings.ui_font.fallbacks.clone(),
731 font_size: rems(0.875).into(),
732 font_weight: settings.ui_font.weight,
733 font_style: FontStyle::Normal,
734 line_height: relative(1.3),
735 white_space: WhiteSpace::Normal,
736 ..Default::default()
737 };
738 EditorElement::new(
739 &self.api_key_editor,
740 EditorStyle {
741 background: cx.theme().colors().editor_background,
742 local_player: cx.theme().players().local(),
743 text: text_style,
744 ..Default::default()
745 },
746 )
747 }
748
749 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
750 !self.state.read(cx).is_authenticated()
751 }
752}
753
754impl Render for ConfigurationView {
755 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
756 let env_var_set = self.state.read(cx).api_key_from_env;
757
758 if self.load_credentials_task.is_some() {
759 div().child(Label::new("Loading credentials...")).into_any()
760 } else if self.should_render_editor(cx) {
761 v_flex()
762 .size_full()
763 .on_action(cx.listener(Self::save_api_key))
764 .child(Label::new("To use Zed's assistant with Google AI, you need to add an API key. Follow these steps:"))
765 .child(
766 List::new()
767 .child(InstructionListItem::new(
768 "Create one by visiting",
769 Some("Google AI's console"),
770 Some("https://aistudio.google.com/app/apikey"),
771 ))
772 .child(InstructionListItem::text_only(
773 "Paste your API key below and hit enter to start using the assistant",
774 )),
775 )
776 .child(
777 h_flex()
778 .w_full()
779 .my_2()
780 .px_2()
781 .py_1()
782 .bg(cx.theme().colors().editor_background)
783 .border_1()
784 .border_color(cx.theme().colors().border)
785 .rounded_sm()
786 .child(self.render_api_key_editor(cx)),
787 )
788 .child(
789 Label::new(
790 format!("You can also assign the {GOOGLE_AI_API_KEY_VAR} environment variable and restart Zed."),
791 )
792 .size(LabelSize::Small).color(Color::Muted),
793 )
794 .into_any()
795 } else {
796 h_flex()
797 .mt_1()
798 .p_1()
799 .justify_between()
800 .rounded_md()
801 .border_1()
802 .border_color(cx.theme().colors().border)
803 .bg(cx.theme().colors().background)
804 .child(
805 h_flex()
806 .gap_1()
807 .child(Icon::new(IconName::Check).color(Color::Success))
808 .child(Label::new(if env_var_set {
809 format!("API key set in {GOOGLE_AI_API_KEY_VAR} environment variable.")
810 } else {
811 "API key configured.".to_string()
812 })),
813 )
814 .child(
815 Button::new("reset-key", "Reset Key")
816 .label_size(LabelSize::Small)
817 .icon(Some(IconName::Trash))
818 .icon_size(IconSize::Small)
819 .icon_position(IconPosition::Start)
820 .disabled(env_var_set)
821 .when(env_var_set, |this| {
822 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {GOOGLE_AI_API_KEY_VAR} environment variable.")))
823 })
824 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
825 )
826 .into_any()
827 }
828 }
829}