1use anyhow::{Context as _, Result, anyhow};
2use collections::{BTreeMap, HashMap};
3use credentials_provider::CredentialsProvider;
4use editor::{Editor, EditorElement, EditorStyle};
5use futures::Stream;
6use futures::{FutureExt, StreamExt, future::BoxFuture};
7use gpui::{
8 AnyView, App, AsyncApp, Context, Entity, FontStyle, Subscription, Task, TextStyle, WhiteSpace,
9};
10use http_client::HttpClient;
11use language_model::{
12 AuthenticateError, LanguageModel, LanguageModelCompletionError, LanguageModelCompletionEvent,
13 LanguageModelId, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,
14 LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest,
15 LanguageModelToolChoice, LanguageModelToolUse, MessageContent, RateLimiter, Role, StopReason,
16};
17use open_ai::{Model, ResponseStreamEvent, stream_completion};
18use schemars::JsonSchema;
19use serde::{Deserialize, Serialize};
20use settings::{Settings, SettingsStore};
21use std::pin::Pin;
22use std::str::FromStr as _;
23use std::sync::Arc;
24use strum::IntoEnumIterator;
25use theme::ThemeSettings;
26use ui::{Icon, IconName, List, Tooltip, prelude::*};
27use util::ResultExt;
28
29use crate::{AllLanguageModelSettings, ui::InstructionListItem};
30
31const PROVIDER_ID: &str = "openai";
32const PROVIDER_NAME: &str = "OpenAI";
33
34#[derive(Default, Clone, Debug, PartialEq)]
35pub struct OpenAiSettings {
36 pub api_url: String,
37 pub available_models: Vec<AvailableModel>,
38 pub needs_setting_migration: bool,
39}
40
41#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
42pub struct AvailableModel {
43 pub name: String,
44 pub display_name: Option<String>,
45 pub max_tokens: usize,
46 pub max_output_tokens: Option<u32>,
47 pub max_completion_tokens: Option<u32>,
48}
49
50pub struct OpenAiLanguageModelProvider {
51 http_client: Arc<dyn HttpClient>,
52 state: gpui::Entity<State>,
53}
54
55pub struct State {
56 api_key: Option<String>,
57 api_key_from_env: bool,
58 _subscription: Subscription,
59}
60
61const OPENAI_API_KEY_VAR: &str = "OPENAI_API_KEY";
62
63impl State {
64 fn is_authenticated(&self) -> bool {
65 self.api_key.is_some()
66 }
67
68 fn reset_api_key(&self, cx: &mut Context<Self>) -> Task<Result<()>> {
69 let credentials_provider = <dyn CredentialsProvider>::global(cx);
70 let api_url = AllLanguageModelSettings::get_global(cx)
71 .openai
72 .api_url
73 .clone();
74 cx.spawn(async move |this, cx| {
75 credentials_provider
76 .delete_credentials(&api_url, &cx)
77 .await
78 .log_err();
79 this.update(cx, |this, cx| {
80 this.api_key = None;
81 this.api_key_from_env = false;
82 cx.notify();
83 })
84 })
85 }
86
87 fn set_api_key(&mut self, api_key: String, cx: &mut Context<Self>) -> Task<Result<()>> {
88 let credentials_provider = <dyn CredentialsProvider>::global(cx);
89 let api_url = AllLanguageModelSettings::get_global(cx)
90 .openai
91 .api_url
92 .clone();
93 cx.spawn(async move |this, cx| {
94 credentials_provider
95 .write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)
96 .await
97 .log_err();
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 .openai
113 .api_url
114 .clone();
115 cx.spawn(async move |this, cx| {
116 let (api_key, from_env) = if let Ok(api_key) = std::env::var(OPENAI_API_KEY_VAR) {
117 (api_key, true)
118 } else {
119 let (_, api_key) = credentials_provider
120 .read_credentials(&api_url, &cx)
121 .await?
122 .ok_or(AuthenticateError::CredentialsNotFound)?;
123 (
124 String::from_utf8(api_key).context("invalid {PROVIDER_NAME} API key")?,
125 false,
126 )
127 };
128 this.update(cx, |this, cx| {
129 this.api_key = Some(api_key);
130 this.api_key_from_env = from_env;
131 cx.notify();
132 })?;
133
134 Ok(())
135 })
136 }
137}
138
139impl OpenAiLanguageModelProvider {
140 pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
141 let state = cx.new(|cx| State {
142 api_key: None,
143 api_key_from_env: false,
144 _subscription: cx.observe_global::<SettingsStore>(|_this: &mut State, cx| {
145 cx.notify();
146 }),
147 });
148
149 Self { http_client, state }
150 }
151
152 fn create_language_model(&self, model: open_ai::Model) -> Arc<dyn LanguageModel> {
153 Arc::new(OpenAiLanguageModel {
154 id: LanguageModelId::from(model.id().to_string()),
155 model,
156 state: self.state.clone(),
157 http_client: self.http_client.clone(),
158 request_limiter: RateLimiter::new(4),
159 })
160 }
161}
162
163impl LanguageModelProviderState for OpenAiLanguageModelProvider {
164 type ObservableEntity = State;
165
166 fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
167 Some(self.state.clone())
168 }
169}
170
171impl LanguageModelProvider for OpenAiLanguageModelProvider {
172 fn id(&self) -> LanguageModelProviderId {
173 LanguageModelProviderId(PROVIDER_ID.into())
174 }
175
176 fn name(&self) -> LanguageModelProviderName {
177 LanguageModelProviderName(PROVIDER_NAME.into())
178 }
179
180 fn icon(&self) -> IconName {
181 IconName::AiOpenAi
182 }
183
184 fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
185 Some(self.create_language_model(open_ai::Model::default()))
186 }
187
188 fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
189 Some(self.create_language_model(open_ai::Model::default_fast()))
190 }
191
192 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
193 let mut models = BTreeMap::default();
194
195 // Add base models from open_ai::Model::iter()
196 for model in open_ai::Model::iter() {
197 if !matches!(model, open_ai::Model::Custom { .. }) {
198 models.insert(model.id().to_string(), model);
199 }
200 }
201
202 // Override with available models from settings
203 for model in &AllLanguageModelSettings::get_global(cx)
204 .openai
205 .available_models
206 {
207 models.insert(
208 model.name.clone(),
209 open_ai::Model::Custom {
210 name: model.name.clone(),
211 display_name: model.display_name.clone(),
212 max_tokens: model.max_tokens,
213 max_output_tokens: model.max_output_tokens,
214 max_completion_tokens: model.max_completion_tokens,
215 },
216 );
217 }
218
219 models
220 .into_values()
221 .map(|model| self.create_language_model(model))
222 .collect()
223 }
224
225 fn is_authenticated(&self, cx: &App) -> bool {
226 self.state.read(cx).is_authenticated()
227 }
228
229 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
230 self.state.update(cx, |state, cx| state.authenticate(cx))
231 }
232
233 fn configuration_view(&self, window: &mut Window, cx: &mut App) -> AnyView {
234 cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
235 .into()
236 }
237
238 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
239 self.state.update(cx, |state, cx| state.reset_api_key(cx))
240 }
241}
242
243pub struct OpenAiLanguageModel {
244 id: LanguageModelId,
245 model: open_ai::Model,
246 state: gpui::Entity<State>,
247 http_client: Arc<dyn HttpClient>,
248 request_limiter: RateLimiter,
249}
250
251impl OpenAiLanguageModel {
252 fn stream_completion(
253 &self,
254 request: open_ai::Request,
255 cx: &AsyncApp,
256 ) -> BoxFuture<'static, Result<futures::stream::BoxStream<'static, Result<ResponseStreamEvent>>>>
257 {
258 let http_client = self.http_client.clone();
259 let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
260 let settings = &AllLanguageModelSettings::get_global(cx).openai;
261 (state.api_key.clone(), settings.api_url.clone())
262 }) else {
263 return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
264 };
265
266 let future = self.request_limiter.stream(async move {
267 let api_key = api_key.ok_or_else(|| anyhow!("Missing OpenAI API Key"))?;
268 let request = stream_completion(http_client.as_ref(), &api_url, &api_key, request);
269 let response = request.await?;
270 Ok(response)
271 });
272
273 async move { Ok(future.await?.boxed()) }.boxed()
274 }
275}
276
277impl LanguageModel for OpenAiLanguageModel {
278 fn id(&self) -> LanguageModelId {
279 self.id.clone()
280 }
281
282 fn name(&self) -> LanguageModelName {
283 LanguageModelName::from(self.model.display_name().to_string())
284 }
285
286 fn provider_id(&self) -> LanguageModelProviderId {
287 LanguageModelProviderId(PROVIDER_ID.into())
288 }
289
290 fn provider_name(&self) -> LanguageModelProviderName {
291 LanguageModelProviderName(PROVIDER_NAME.into())
292 }
293
294 fn supports_tools(&self) -> bool {
295 true
296 }
297
298 fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {
299 match choice {
300 LanguageModelToolChoice::Auto => true,
301 LanguageModelToolChoice::Any => true,
302 LanguageModelToolChoice::None => true,
303 }
304 }
305
306 fn telemetry_id(&self) -> String {
307 format!("openai/{}", self.model.id())
308 }
309
310 fn max_token_count(&self) -> usize {
311 self.model.max_token_count()
312 }
313
314 fn max_output_tokens(&self) -> Option<u32> {
315 self.model.max_output_tokens()
316 }
317
318 fn count_tokens(
319 &self,
320 request: LanguageModelRequest,
321 cx: &App,
322 ) -> BoxFuture<'static, Result<usize>> {
323 count_open_ai_tokens(request, self.model.clone(), cx)
324 }
325
326 fn stream_completion(
327 &self,
328 request: LanguageModelRequest,
329 cx: &AsyncApp,
330 ) -> BoxFuture<
331 'static,
332 Result<
333 futures::stream::BoxStream<
334 'static,
335 Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,
336 >,
337 >,
338 > {
339 let request = into_open_ai(request, &self.model, self.max_output_tokens());
340 let completions = self.stream_completion(request, cx);
341 async move {
342 let mapper = OpenAiEventMapper::new();
343 Ok(mapper.map_stream(completions.await?).boxed())
344 }
345 .boxed()
346 }
347}
348
349pub fn into_open_ai(
350 request: LanguageModelRequest,
351 model: &Model,
352 max_output_tokens: Option<u32>,
353) -> open_ai::Request {
354 let stream = !model.id().starts_with("o1-");
355
356 let mut messages = Vec::new();
357 for message in request.messages {
358 for content in message.content {
359 match content {
360 MessageContent::Text(text) | MessageContent::Thinking { text, .. } => messages
361 .push(match message.role {
362 Role::User => open_ai::RequestMessage::User { content: text },
363 Role::Assistant => open_ai::RequestMessage::Assistant {
364 content: Some(text),
365 tool_calls: Vec::new(),
366 },
367 Role::System => open_ai::RequestMessage::System { content: text },
368 }),
369 MessageContent::RedactedThinking(_) => {}
370 MessageContent::Image(_) => {}
371 MessageContent::ToolUse(tool_use) => {
372 let tool_call = open_ai::ToolCall {
373 id: tool_use.id.to_string(),
374 content: open_ai::ToolCallContent::Function {
375 function: open_ai::FunctionContent {
376 name: tool_use.name.to_string(),
377 arguments: serde_json::to_string(&tool_use.input)
378 .unwrap_or_default(),
379 },
380 },
381 };
382
383 if let Some(open_ai::RequestMessage::Assistant { tool_calls, .. }) =
384 messages.last_mut()
385 {
386 tool_calls.push(tool_call);
387 } else {
388 messages.push(open_ai::RequestMessage::Assistant {
389 content: None,
390 tool_calls: vec![tool_call],
391 });
392 }
393 }
394 MessageContent::ToolResult(tool_result) => {
395 messages.push(open_ai::RequestMessage::Tool {
396 content: tool_result.content.to_string(),
397 tool_call_id: tool_result.tool_use_id.to_string(),
398 });
399 }
400 }
401 }
402 }
403
404 open_ai::Request {
405 model: model.id().into(),
406 messages,
407 stream,
408 stop: request.stop,
409 temperature: request.temperature.unwrap_or(1.0),
410 max_tokens: max_output_tokens,
411 parallel_tool_calls: if model.supports_parallel_tool_calls() && !request.tools.is_empty() {
412 // Disable parallel tool calls, as the Agent currently expects a maximum of one per turn.
413 Some(false)
414 } else {
415 None
416 },
417 tools: request
418 .tools
419 .into_iter()
420 .map(|tool| open_ai::ToolDefinition::Function {
421 function: open_ai::FunctionDefinition {
422 name: tool.name,
423 description: Some(tool.description),
424 parameters: Some(tool.input_schema),
425 },
426 })
427 .collect(),
428 tool_choice: request.tool_choice.map(|choice| match choice {
429 LanguageModelToolChoice::Auto => open_ai::ToolChoice::Auto,
430 LanguageModelToolChoice::Any => open_ai::ToolChoice::Required,
431 LanguageModelToolChoice::None => open_ai::ToolChoice::None,
432 }),
433 }
434}
435
436pub struct OpenAiEventMapper {
437 tool_calls_by_index: HashMap<usize, RawToolCall>,
438}
439
440impl OpenAiEventMapper {
441 pub fn new() -> Self {
442 Self {
443 tool_calls_by_index: HashMap::default(),
444 }
445 }
446
447 pub fn map_stream(
448 mut self,
449 events: Pin<Box<dyn Send + Stream<Item = Result<ResponseStreamEvent>>>>,
450 ) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>
451 {
452 events.flat_map(move |event| {
453 futures::stream::iter(match event {
454 Ok(event) => self.map_event(event),
455 Err(error) => vec![Err(LanguageModelCompletionError::Other(anyhow!(error)))],
456 })
457 })
458 }
459
460 pub fn map_event(
461 &mut self,
462 event: ResponseStreamEvent,
463 ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
464 let Some(choice) = event.choices.first() else {
465 return vec![Err(LanguageModelCompletionError::Other(anyhow!(
466 "Response contained no choices"
467 )))];
468 };
469
470 let mut events = Vec::new();
471 if let Some(content) = choice.delta.content.clone() {
472 events.push(Ok(LanguageModelCompletionEvent::Text(content)));
473 }
474
475 if let Some(tool_calls) = choice.delta.tool_calls.as_ref() {
476 for tool_call in tool_calls {
477 let entry = self.tool_calls_by_index.entry(tool_call.index).or_default();
478
479 if let Some(tool_id) = tool_call.id.clone() {
480 entry.id = tool_id;
481 }
482
483 if let Some(function) = tool_call.function.as_ref() {
484 if let Some(name) = function.name.clone() {
485 entry.name = name;
486 }
487
488 if let Some(arguments) = function.arguments.clone() {
489 entry.arguments.push_str(&arguments);
490 }
491 }
492 }
493 }
494
495 match choice.finish_reason.as_deref() {
496 Some("stop") => {
497 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
498 }
499 Some("tool_calls") => {
500 events.extend(self.tool_calls_by_index.drain().map(|(_, tool_call)| {
501 match serde_json::Value::from_str(&tool_call.arguments) {
502 Ok(input) => Ok(LanguageModelCompletionEvent::ToolUse(
503 LanguageModelToolUse {
504 id: tool_call.id.clone().into(),
505 name: tool_call.name.as_str().into(),
506 is_input_complete: true,
507 input,
508 raw_input: tool_call.arguments.clone(),
509 },
510 )),
511 Err(error) => Err(LanguageModelCompletionError::BadInputJson {
512 id: tool_call.id.into(),
513 tool_name: tool_call.name.as_str().into(),
514 raw_input: tool_call.arguments.into(),
515 json_parse_error: error.to_string(),
516 }),
517 }
518 }));
519
520 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::ToolUse)));
521 }
522 Some(stop_reason) => {
523 log::error!("Unexpected OpenAI stop_reason: {stop_reason:?}",);
524 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
525 }
526 None => {}
527 }
528
529 events
530 }
531}
532
533#[derive(Default)]
534struct RawToolCall {
535 id: String,
536 name: String,
537 arguments: String,
538}
539
540pub fn count_open_ai_tokens(
541 request: LanguageModelRequest,
542 model: Model,
543 cx: &App,
544) -> BoxFuture<'static, Result<usize>> {
545 cx.background_spawn(async move {
546 let messages = request
547 .messages
548 .into_iter()
549 .map(|message| tiktoken_rs::ChatCompletionRequestMessage {
550 role: match message.role {
551 Role::User => "user".into(),
552 Role::Assistant => "assistant".into(),
553 Role::System => "system".into(),
554 },
555 content: Some(message.string_contents()),
556 name: None,
557 function_call: None,
558 })
559 .collect::<Vec<_>>();
560
561 match model {
562 Model::Custom { max_tokens, .. } => {
563 let model = if max_tokens >= 100_000 {
564 // If the max tokens is 100k or more, it is likely the o200k_base tokenizer from gpt4o
565 "gpt-4o"
566 } else {
567 // Otherwise fallback to gpt-4, since only cl100k_base and o200k_base are
568 // supported with this tiktoken method
569 "gpt-4"
570 };
571 tiktoken_rs::num_tokens_from_messages(model, &messages)
572 }
573 // Not currently supported by tiktoken_rs. All use the same tokenizer as gpt-4o (o200k_base)
574 Model::O1
575 | Model::FourPointOne
576 | Model::FourPointOneMini
577 | Model::FourPointOneNano
578 | Model::O3Mini
579 | Model::O3
580 | Model::O4Mini => tiktoken_rs::num_tokens_from_messages("gpt-4o", &messages),
581 // Currently supported by tiktoken_rs
582 Model::ThreePointFiveTurbo
583 | Model::Four
584 | Model::FourTurbo
585 | Model::FourOmni
586 | Model::FourOmniMini
587 | Model::O1Preview
588 | Model::O1Mini => tiktoken_rs::num_tokens_from_messages(model.id(), &messages),
589 }
590 })
591 .boxed()
592}
593
594struct ConfigurationView {
595 api_key_editor: Entity<Editor>,
596 state: gpui::Entity<State>,
597 load_credentials_task: Option<Task<()>>,
598}
599
600impl ConfigurationView {
601 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
602 let api_key_editor = cx.new(|cx| {
603 let mut editor = Editor::single_line(window, cx);
604 editor.set_placeholder_text("sk-000000000000000000000000000000000000000000000000", cx);
605 editor
606 });
607
608 cx.observe(&state, |_, _, cx| {
609 cx.notify();
610 })
611 .detach();
612
613 let load_credentials_task = Some(cx.spawn_in(window, {
614 let state = state.clone();
615 async move |this, cx| {
616 if let Some(task) = state
617 .update(cx, |state, cx| state.authenticate(cx))
618 .log_err()
619 {
620 // We don't log an error, because "not signed in" is also an error.
621 let _ = task.await;
622 }
623
624 this.update(cx, |this, cx| {
625 this.load_credentials_task = None;
626 cx.notify();
627 })
628 .log_err();
629 }
630 }));
631
632 Self {
633 api_key_editor,
634 state,
635 load_credentials_task,
636 }
637 }
638
639 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
640 let api_key = self.api_key_editor.read(cx).text(cx);
641 if api_key.is_empty() {
642 return;
643 }
644
645 let state = self.state.clone();
646 cx.spawn_in(window, async move |_, cx| {
647 state
648 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
649 .await
650 })
651 .detach_and_log_err(cx);
652
653 cx.notify();
654 }
655
656 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
657 self.api_key_editor
658 .update(cx, |editor, cx| editor.set_text("", window, cx));
659
660 let state = self.state.clone();
661 cx.spawn_in(window, async move |_, cx| {
662 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
663 })
664 .detach_and_log_err(cx);
665
666 cx.notify();
667 }
668
669 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
670 let settings = ThemeSettings::get_global(cx);
671 let text_style = TextStyle {
672 color: cx.theme().colors().text,
673 font_family: settings.ui_font.family.clone(),
674 font_features: settings.ui_font.features.clone(),
675 font_fallbacks: settings.ui_font.fallbacks.clone(),
676 font_size: rems(0.875).into(),
677 font_weight: settings.ui_font.weight,
678 font_style: FontStyle::Normal,
679 line_height: relative(1.3),
680 white_space: WhiteSpace::Normal,
681 ..Default::default()
682 };
683 EditorElement::new(
684 &self.api_key_editor,
685 EditorStyle {
686 background: cx.theme().colors().editor_background,
687 local_player: cx.theme().players().local(),
688 text: text_style,
689 ..Default::default()
690 },
691 )
692 }
693
694 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
695 !self.state.read(cx).is_authenticated()
696 }
697}
698
699impl Render for ConfigurationView {
700 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
701 let env_var_set = self.state.read(cx).api_key_from_env;
702
703 if self.load_credentials_task.is_some() {
704 div().child(Label::new("Loading credentials...")).into_any()
705 } else if self.should_render_editor(cx) {
706 v_flex()
707 .size_full()
708 .on_action(cx.listener(Self::save_api_key))
709 .child(Label::new("To use Zed's assistant with OpenAI, you need to add an API key. Follow these steps:"))
710 .child(
711 List::new()
712 .child(InstructionListItem::new(
713 "Create one by visiting",
714 Some("OpenAI's console"),
715 Some("https://platform.openai.com/api-keys"),
716 ))
717 .child(InstructionListItem::text_only(
718 "Ensure your OpenAI account has credits",
719 ))
720 .child(InstructionListItem::text_only(
721 "Paste your API key below and hit enter to start using the assistant",
722 )),
723 )
724 .child(
725 h_flex()
726 .w_full()
727 .my_2()
728 .px_2()
729 .py_1()
730 .bg(cx.theme().colors().editor_background)
731 .border_1()
732 .border_color(cx.theme().colors().border)
733 .rounded_sm()
734 .child(self.render_api_key_editor(cx)),
735 )
736 .child(
737 Label::new(
738 format!("You can also assign the {OPENAI_API_KEY_VAR} environment variable and restart Zed."),
739 )
740 .size(LabelSize::Small).color(Color::Muted),
741 )
742 .child(
743 Label::new(
744 "Note that having a subscription for another service like GitHub Copilot won't work.".to_string(),
745 )
746 .size(LabelSize::Small).color(Color::Muted),
747 )
748 .into_any()
749 } else {
750 h_flex()
751 .mt_1()
752 .p_1()
753 .justify_between()
754 .rounded_md()
755 .border_1()
756 .border_color(cx.theme().colors().border)
757 .bg(cx.theme().colors().background)
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 {OPENAI_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 .label_size(LabelSize::Small)
771 .icon(Some(IconName::Trash))
772 .icon_size(IconSize::Small)
773 .icon_position(IconPosition::Start)
774 .disabled(env_var_set)
775 .when(env_var_set, |this| {
776 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {OPENAI_API_KEY_VAR} environment variable.")))
777 })
778 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
779 )
780 .into_any()
781 }
782 }
783}