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, LanguageModelToolResultContent, LanguageModelToolUse, MessageContent,
16 RateLimiter, Role, StopReason,
17};
18use open_ai::{Model, ResponseStreamEvent, stream_completion};
19use schemars::JsonSchema;
20use serde::{Deserialize, Serialize};
21use settings::{Settings, SettingsStore};
22use std::pin::Pin;
23use std::str::FromStr as _;
24use std::sync::Arc;
25use strum::IntoEnumIterator;
26use theme::ThemeSettings;
27use ui::{Icon, IconName, List, Tooltip, prelude::*};
28use util::ResultExt;
29
30use crate::{AllLanguageModelSettings, ui::InstructionListItem};
31
32const PROVIDER_ID: &str = "openai";
33const PROVIDER_NAME: &str = "OpenAI";
34
35#[derive(Default, Clone, Debug, PartialEq)]
36pub struct OpenAiSettings {
37 pub api_url: String,
38 pub available_models: Vec<AvailableModel>,
39 pub needs_setting_migration: bool,
40}
41
42#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
43pub struct AvailableModel {
44 pub name: String,
45 pub display_name: Option<String>,
46 pub max_tokens: usize,
47 pub max_output_tokens: Option<u32>,
48 pub max_completion_tokens: Option<u32>,
49}
50
51pub struct OpenAiLanguageModelProvider {
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 OPENAI_API_KEY_VAR: &str = "OPENAI_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 .openai
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 .openai
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 .log_err();
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 .openai
114 .api_url
115 .clone();
116 cx.spawn(async move |this, cx| {
117 let (api_key, from_env) = if let Ok(api_key) = std::env::var(OPENAI_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 this.update(cx, |this, cx| {
130 this.api_key = Some(api_key);
131 this.api_key_from_env = from_env;
132 cx.notify();
133 })?;
134
135 Ok(())
136 })
137 }
138}
139
140impl OpenAiLanguageModelProvider {
141 pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
142 let state = cx.new(|cx| State {
143 api_key: None,
144 api_key_from_env: false,
145 _subscription: cx.observe_global::<SettingsStore>(|_this: &mut State, cx| {
146 cx.notify();
147 }),
148 });
149
150 Self { http_client, state }
151 }
152
153 fn create_language_model(&self, model: open_ai::Model) -> Arc<dyn LanguageModel> {
154 Arc::new(OpenAiLanguageModel {
155 id: LanguageModelId::from(model.id().to_string()),
156 model,
157 state: self.state.clone(),
158 http_client: self.http_client.clone(),
159 request_limiter: RateLimiter::new(4),
160 })
161 }
162}
163
164impl LanguageModelProviderState for OpenAiLanguageModelProvider {
165 type ObservableEntity = State;
166
167 fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
168 Some(self.state.clone())
169 }
170}
171
172impl LanguageModelProvider for OpenAiLanguageModelProvider {
173 fn id(&self) -> LanguageModelProviderId {
174 LanguageModelProviderId(PROVIDER_ID.into())
175 }
176
177 fn name(&self) -> LanguageModelProviderName {
178 LanguageModelProviderName(PROVIDER_NAME.into())
179 }
180
181 fn icon(&self) -> IconName {
182 IconName::AiOpenAi
183 }
184
185 fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
186 Some(self.create_language_model(open_ai::Model::default()))
187 }
188
189 fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
190 Some(self.create_language_model(open_ai::Model::default_fast()))
191 }
192
193 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
194 let mut models = BTreeMap::default();
195
196 // Add base models from open_ai::Model::iter()
197 for model in open_ai::Model::iter() {
198 if !matches!(model, open_ai::Model::Custom { .. }) {
199 models.insert(model.id().to_string(), model);
200 }
201 }
202
203 // Override with available models from settings
204 for model in &AllLanguageModelSettings::get_global(cx)
205 .openai
206 .available_models
207 {
208 models.insert(
209 model.name.clone(),
210 open_ai::Model::Custom {
211 name: model.name.clone(),
212 display_name: model.display_name.clone(),
213 max_tokens: model.max_tokens,
214 max_output_tokens: model.max_output_tokens,
215 max_completion_tokens: model.max_completion_tokens,
216 },
217 );
218 }
219
220 models
221 .into_values()
222 .map(|model| self.create_language_model(model))
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 OpenAiLanguageModel {
245 id: LanguageModelId,
246 model: open_ai::Model,
247 state: gpui::Entity<State>,
248 http_client: Arc<dyn HttpClient>,
249 request_limiter: RateLimiter,
250}
251
252impl OpenAiLanguageModel {
253 fn stream_completion(
254 &self,
255 request: open_ai::Request,
256 cx: &AsyncApp,
257 ) -> BoxFuture<'static, Result<futures::stream::BoxStream<'static, Result<ResponseStreamEvent>>>>
258 {
259 let http_client = self.http_client.clone();
260 let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
261 let settings = &AllLanguageModelSettings::get_global(cx).openai;
262 (state.api_key.clone(), settings.api_url.clone())
263 }) else {
264 return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
265 };
266
267 let future = self.request_limiter.stream(async move {
268 let api_key = api_key.ok_or_else(|| anyhow!("Missing OpenAI API Key"))?;
269 let request = stream_completion(http_client.as_ref(), &api_url, &api_key, request);
270 let response = request.await?;
271 Ok(response)
272 });
273
274 async move { Ok(future.await?.boxed()) }.boxed()
275 }
276}
277
278impl LanguageModel for OpenAiLanguageModel {
279 fn id(&self) -> LanguageModelId {
280 self.id.clone()
281 }
282
283 fn name(&self) -> LanguageModelName {
284 LanguageModelName::from(self.model.display_name().to_string())
285 }
286
287 fn provider_id(&self) -> LanguageModelProviderId {
288 LanguageModelProviderId(PROVIDER_ID.into())
289 }
290
291 fn provider_name(&self) -> LanguageModelProviderName {
292 LanguageModelProviderName(PROVIDER_NAME.into())
293 }
294
295 fn supports_tools(&self) -> bool {
296 true
297 }
298
299 fn supports_images(&self) -> bool {
300 false
301 }
302
303 fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {
304 match choice {
305 LanguageModelToolChoice::Auto => true,
306 LanguageModelToolChoice::Any => true,
307 LanguageModelToolChoice::None => true,
308 }
309 }
310
311 fn telemetry_id(&self) -> String {
312 format!("openai/{}", self.model.id())
313 }
314
315 fn max_token_count(&self) -> usize {
316 self.model.max_token_count()
317 }
318
319 fn max_output_tokens(&self) -> Option<u32> {
320 self.model.max_output_tokens()
321 }
322
323 fn count_tokens(
324 &self,
325 request: LanguageModelRequest,
326 cx: &App,
327 ) -> BoxFuture<'static, Result<usize>> {
328 count_open_ai_tokens(request, self.model.clone(), cx)
329 }
330
331 fn stream_completion(
332 &self,
333 request: LanguageModelRequest,
334 cx: &AsyncApp,
335 ) -> BoxFuture<
336 'static,
337 Result<
338 futures::stream::BoxStream<
339 'static,
340 Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,
341 >,
342 >,
343 > {
344 let request = into_open_ai(request, &self.model, self.max_output_tokens());
345 let completions = self.stream_completion(request, cx);
346 async move {
347 let mapper = OpenAiEventMapper::new();
348 Ok(mapper.map_stream(completions.await?).boxed())
349 }
350 .boxed()
351 }
352}
353
354pub fn into_open_ai(
355 request: LanguageModelRequest,
356 model: &Model,
357 max_output_tokens: Option<u32>,
358) -> open_ai::Request {
359 let stream = !model.id().starts_with("o1-");
360
361 let mut messages = Vec::new();
362 for message in request.messages {
363 for content in message.content {
364 match content {
365 MessageContent::Text(text) | MessageContent::Thinking { text, .. } => messages
366 .push(match message.role {
367 Role::User => open_ai::RequestMessage::User { content: text },
368 Role::Assistant => open_ai::RequestMessage::Assistant {
369 content: Some(text),
370 tool_calls: Vec::new(),
371 },
372 Role::System => open_ai::RequestMessage::System { content: text },
373 }),
374 MessageContent::RedactedThinking(_) => {}
375 MessageContent::Image(_) => {}
376 MessageContent::ToolUse(tool_use) => {
377 let tool_call = open_ai::ToolCall {
378 id: tool_use.id.to_string(),
379 content: open_ai::ToolCallContent::Function {
380 function: open_ai::FunctionContent {
381 name: tool_use.name.to_string(),
382 arguments: serde_json::to_string(&tool_use.input)
383 .unwrap_or_default(),
384 },
385 },
386 };
387
388 if let Some(open_ai::RequestMessage::Assistant { tool_calls, .. }) =
389 messages.last_mut()
390 {
391 tool_calls.push(tool_call);
392 } else {
393 messages.push(open_ai::RequestMessage::Assistant {
394 content: None,
395 tool_calls: vec![tool_call],
396 });
397 }
398 }
399 MessageContent::ToolResult(tool_result) => {
400 let content = match &tool_result.content {
401 LanguageModelToolResultContent::Text(text) => text.to_string(),
402 LanguageModelToolResultContent::Image(_) => {
403 // TODO: Open AI image support
404 "[Tool responded with an image, but Zed doesn't support these in Open AI models yet]".to_string()
405 }
406 };
407
408 messages.push(open_ai::RequestMessage::Tool {
409 content,
410 tool_call_id: tool_result.tool_use_id.to_string(),
411 });
412 }
413 }
414 }
415 }
416
417 open_ai::Request {
418 model: model.id().into(),
419 messages,
420 stream,
421 stop: request.stop,
422 temperature: request.temperature.unwrap_or(1.0),
423 max_tokens: max_output_tokens,
424 parallel_tool_calls: if model.supports_parallel_tool_calls() && !request.tools.is_empty() {
425 // Disable parallel tool calls, as the Agent currently expects a maximum of one per turn.
426 Some(false)
427 } else {
428 None
429 },
430 tools: request
431 .tools
432 .into_iter()
433 .map(|tool| open_ai::ToolDefinition::Function {
434 function: open_ai::FunctionDefinition {
435 name: tool.name,
436 description: Some(tool.description),
437 parameters: Some(tool.input_schema),
438 },
439 })
440 .collect(),
441 tool_choice: request.tool_choice.map(|choice| match choice {
442 LanguageModelToolChoice::Auto => open_ai::ToolChoice::Auto,
443 LanguageModelToolChoice::Any => open_ai::ToolChoice::Required,
444 LanguageModelToolChoice::None => open_ai::ToolChoice::None,
445 }),
446 }
447}
448
449pub struct OpenAiEventMapper {
450 tool_calls_by_index: HashMap<usize, RawToolCall>,
451}
452
453impl OpenAiEventMapper {
454 pub fn new() -> Self {
455 Self {
456 tool_calls_by_index: HashMap::default(),
457 }
458 }
459
460 pub fn map_stream(
461 mut self,
462 events: Pin<Box<dyn Send + Stream<Item = Result<ResponseStreamEvent>>>>,
463 ) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>
464 {
465 events.flat_map(move |event| {
466 futures::stream::iter(match event {
467 Ok(event) => self.map_event(event),
468 Err(error) => vec![Err(LanguageModelCompletionError::Other(anyhow!(error)))],
469 })
470 })
471 }
472
473 pub fn map_event(
474 &mut self,
475 event: ResponseStreamEvent,
476 ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
477 let Some(choice) = event.choices.first() else {
478 return vec![Err(LanguageModelCompletionError::Other(anyhow!(
479 "Response contained no choices"
480 )))];
481 };
482
483 let mut events = Vec::new();
484 if let Some(content) = choice.delta.content.clone() {
485 events.push(Ok(LanguageModelCompletionEvent::Text(content)));
486 }
487
488 if let Some(tool_calls) = choice.delta.tool_calls.as_ref() {
489 for tool_call in tool_calls {
490 let entry = self.tool_calls_by_index.entry(tool_call.index).or_default();
491
492 if let Some(tool_id) = tool_call.id.clone() {
493 entry.id = tool_id;
494 }
495
496 if let Some(function) = tool_call.function.as_ref() {
497 if let Some(name) = function.name.clone() {
498 entry.name = name;
499 }
500
501 if let Some(arguments) = function.arguments.clone() {
502 entry.arguments.push_str(&arguments);
503 }
504 }
505 }
506 }
507
508 match choice.finish_reason.as_deref() {
509 Some("stop") => {
510 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
511 }
512 Some("tool_calls") => {
513 events.extend(self.tool_calls_by_index.drain().map(|(_, tool_call)| {
514 match serde_json::Value::from_str(&tool_call.arguments) {
515 Ok(input) => Ok(LanguageModelCompletionEvent::ToolUse(
516 LanguageModelToolUse {
517 id: tool_call.id.clone().into(),
518 name: tool_call.name.as_str().into(),
519 is_input_complete: true,
520 input,
521 raw_input: tool_call.arguments.clone(),
522 },
523 )),
524 Err(error) => Err(LanguageModelCompletionError::BadInputJson {
525 id: tool_call.id.into(),
526 tool_name: tool_call.name.as_str().into(),
527 raw_input: tool_call.arguments.into(),
528 json_parse_error: error.to_string(),
529 }),
530 }
531 }));
532
533 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::ToolUse)));
534 }
535 Some(stop_reason) => {
536 log::error!("Unexpected OpenAI stop_reason: {stop_reason:?}",);
537 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
538 }
539 None => {}
540 }
541
542 events
543 }
544}
545
546#[derive(Default)]
547struct RawToolCall {
548 id: String,
549 name: String,
550 arguments: String,
551}
552
553pub fn count_open_ai_tokens(
554 request: LanguageModelRequest,
555 model: Model,
556 cx: &App,
557) -> BoxFuture<'static, Result<usize>> {
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 match model {
575 Model::Custom { max_tokens, .. } => {
576 let model = if max_tokens >= 100_000 {
577 // If the max tokens is 100k or more, it is likely the o200k_base tokenizer from gpt4o
578 "gpt-4o"
579 } else {
580 // Otherwise fallback to gpt-4, since only cl100k_base and o200k_base are
581 // supported with this tiktoken method
582 "gpt-4"
583 };
584 tiktoken_rs::num_tokens_from_messages(model, &messages)
585 }
586 // Not currently supported by tiktoken_rs. All use the same tokenizer as gpt-4o (o200k_base)
587 Model::O1
588 | Model::FourPointOne
589 | Model::FourPointOneMini
590 | Model::FourPointOneNano
591 | Model::O3Mini
592 | Model::O3
593 | Model::O4Mini => tiktoken_rs::num_tokens_from_messages("gpt-4o", &messages),
594 // Currently supported by tiktoken_rs
595 Model::ThreePointFiveTurbo
596 | Model::Four
597 | Model::FourTurbo
598 | Model::FourOmni
599 | Model::FourOmniMini
600 | Model::O1Preview
601 | Model::O1Mini => tiktoken_rs::num_tokens_from_messages(model.id(), &messages),
602 }
603 })
604 .boxed()
605}
606
607struct ConfigurationView {
608 api_key_editor: Entity<Editor>,
609 state: gpui::Entity<State>,
610 load_credentials_task: Option<Task<()>>,
611}
612
613impl ConfigurationView {
614 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
615 let api_key_editor = cx.new(|cx| {
616 let mut editor = Editor::single_line(window, cx);
617 editor.set_placeholder_text("sk-000000000000000000000000000000000000000000000000", cx);
618 editor
619 });
620
621 cx.observe(&state, |_, _, cx| {
622 cx.notify();
623 })
624 .detach();
625
626 let load_credentials_task = Some(cx.spawn_in(window, {
627 let state = state.clone();
628 async move |this, cx| {
629 if let Some(task) = state
630 .update(cx, |state, cx| state.authenticate(cx))
631 .log_err()
632 {
633 // We don't log an error, because "not signed in" is also an error.
634 let _ = task.await;
635 }
636
637 this.update(cx, |this, cx| {
638 this.load_credentials_task = None;
639 cx.notify();
640 })
641 .log_err();
642 }
643 }));
644
645 Self {
646 api_key_editor,
647 state,
648 load_credentials_task,
649 }
650 }
651
652 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
653 let api_key = self.api_key_editor.read(cx).text(cx);
654 if api_key.is_empty() {
655 return;
656 }
657
658 let state = self.state.clone();
659 cx.spawn_in(window, async move |_, cx| {
660 state
661 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
662 .await
663 })
664 .detach_and_log_err(cx);
665
666 cx.notify();
667 }
668
669 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
670 self.api_key_editor
671 .update(cx, |editor, cx| editor.set_text("", window, cx));
672
673 let state = self.state.clone();
674 cx.spawn_in(window, async move |_, cx| {
675 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
676 })
677 .detach_and_log_err(cx);
678
679 cx.notify();
680 }
681
682 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
683 let settings = ThemeSettings::get_global(cx);
684 let text_style = TextStyle {
685 color: cx.theme().colors().text,
686 font_family: settings.ui_font.family.clone(),
687 font_features: settings.ui_font.features.clone(),
688 font_fallbacks: settings.ui_font.fallbacks.clone(),
689 font_size: rems(0.875).into(),
690 font_weight: settings.ui_font.weight,
691 font_style: FontStyle::Normal,
692 line_height: relative(1.3),
693 white_space: WhiteSpace::Normal,
694 ..Default::default()
695 };
696 EditorElement::new(
697 &self.api_key_editor,
698 EditorStyle {
699 background: cx.theme().colors().editor_background,
700 local_player: cx.theme().players().local(),
701 text: text_style,
702 ..Default::default()
703 },
704 )
705 }
706
707 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
708 !self.state.read(cx).is_authenticated()
709 }
710}
711
712impl Render for ConfigurationView {
713 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
714 let env_var_set = self.state.read(cx).api_key_from_env;
715
716 if self.load_credentials_task.is_some() {
717 div().child(Label::new("Loading credentials...")).into_any()
718 } else if self.should_render_editor(cx) {
719 v_flex()
720 .size_full()
721 .on_action(cx.listener(Self::save_api_key))
722 .child(Label::new("To use Zed's assistant with OpenAI, you need to add an API key. Follow these steps:"))
723 .child(
724 List::new()
725 .child(InstructionListItem::new(
726 "Create one by visiting",
727 Some("OpenAI's console"),
728 Some("https://platform.openai.com/api-keys"),
729 ))
730 .child(InstructionListItem::text_only(
731 "Ensure your OpenAI account has credits",
732 ))
733 .child(InstructionListItem::text_only(
734 "Paste your API key below and hit enter to start using the assistant",
735 )),
736 )
737 .child(
738 h_flex()
739 .w_full()
740 .my_2()
741 .px_2()
742 .py_1()
743 .bg(cx.theme().colors().editor_background)
744 .border_1()
745 .border_color(cx.theme().colors().border)
746 .rounded_sm()
747 .child(self.render_api_key_editor(cx)),
748 )
749 .child(
750 Label::new(
751 format!("You can also assign the {OPENAI_API_KEY_VAR} environment variable and restart Zed."),
752 )
753 .size(LabelSize::Small).color(Color::Muted),
754 )
755 .child(
756 Label::new(
757 "Note that having a subscription for another service like GitHub Copilot won't work.".to_string(),
758 )
759 .size(LabelSize::Small).color(Color::Muted),
760 )
761 .into_any()
762 } else {
763 h_flex()
764 .mt_1()
765 .p_1()
766 .justify_between()
767 .rounded_md()
768 .border_1()
769 .border_color(cx.theme().colors().border)
770 .bg(cx.theme().colors().background)
771 .child(
772 h_flex()
773 .gap_1()
774 .child(Icon::new(IconName::Check).color(Color::Success))
775 .child(Label::new(if env_var_set {
776 format!("API key set in {OPENAI_API_KEY_VAR} environment variable.")
777 } else {
778 "API key configured.".to_string()
779 })),
780 )
781 .child(
782 Button::new("reset-key", "Reset Key")
783 .label_size(LabelSize::Small)
784 .icon(Some(IconName::Trash))
785 .icon_size(IconSize::Small)
786 .icon_position(IconPosition::Start)
787 .disabled(env_var_set)
788 .when(env_var_set, |this| {
789 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {OPENAI_API_KEY_VAR} environment variable.")))
790 })
791 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
792 )
793 .into_any()
794 }
795 }
796}