1use anyhow::{Result, anyhow};
2use collections::BTreeMap;
3
4use futures::{FutureExt, Stream, StreamExt, future::BoxFuture, stream::BoxStream};
5use gpui::{AnyView, App, AsyncApp, Context, Entity, Global, SharedString, Task, Window};
6use http_client::HttpClient;
7use language_model::{
8 ApiKeyState, AuthenticateError, EnvVar, IconOrSvg, LanguageModel, LanguageModelCompletionError,
9 LanguageModelCompletionEvent, LanguageModelId, LanguageModelName, LanguageModelProvider,
10 LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
11 LanguageModelRequest, LanguageModelToolChoice, LanguageModelToolResultContent,
12 LanguageModelToolUse, MessageContent, RateLimiter, Role, StopReason, TokenUsage, env_var,
13};
14pub use mistral::{CODESTRAL_API_URL, MISTRAL_API_URL, StreamResponse};
15pub use settings::MistralAvailableModel as AvailableModel;
16use settings::{Settings, SettingsStore};
17use std::collections::HashMap;
18use std::pin::Pin;
19use std::str::FromStr;
20use std::sync::{Arc, LazyLock};
21use strum::IntoEnumIterator;
22use ui::{ButtonLink, ConfiguredApiCard, List, ListBulletItem, prelude::*};
23use ui_input::InputField;
24use util::ResultExt;
25
26const PROVIDER_ID: LanguageModelProviderId = LanguageModelProviderId::new("mistral");
27const PROVIDER_NAME: LanguageModelProviderName = LanguageModelProviderName::new("Mistral");
28
29const API_KEY_ENV_VAR_NAME: &str = "MISTRAL_API_KEY";
30static API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(API_KEY_ENV_VAR_NAME);
31
32const CODESTRAL_API_KEY_ENV_VAR_NAME: &str = "CODESTRAL_API_KEY";
33static CODESTRAL_API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(CODESTRAL_API_KEY_ENV_VAR_NAME);
34
35#[derive(Default, Clone, Debug, PartialEq)]
36pub struct MistralSettings {
37 pub api_url: String,
38 pub available_models: Vec<AvailableModel>,
39}
40
41pub struct MistralLanguageModelProvider {
42 http_client: Arc<dyn HttpClient>,
43 pub state: Entity<State>,
44}
45
46pub struct State {
47 api_key_state: ApiKeyState,
48 codestral_api_key_state: Entity<ApiKeyState>,
49}
50
51pub fn codestral_api_key(cx: &mut App) -> Entity<ApiKeyState> {
52 // IMPORTANT:
53 // Do not store `Entity<T>` handles in process-wide statics (e.g. `OnceLock`).
54 //
55 // `Entity<T>` is tied to a particular `App`/entity-map context. Caching it globally can
56 // cause panics like "used a entity with the wrong context" when tests (or multiple apps)
57 // create distinct `App` instances in the same process.
58 //
59 // If we want a per-process singleton, store plain data (e.g. env var names) and create
60 // the entity per-App instead.
61 cx.new(|_| ApiKeyState::new(CODESTRAL_API_URL.into(), CODESTRAL_API_KEY_ENV_VAR.clone()))
62}
63
64impl State {
65 fn is_authenticated(&self) -> bool {
66 self.api_key_state.has_key()
67 }
68
69 fn set_api_key(&mut self, api_key: Option<String>, cx: &mut Context<Self>) -> Task<Result<()>> {
70 let api_url = MistralLanguageModelProvider::api_url(cx);
71 self.api_key_state
72 .store(api_url, api_key, |this| &mut this.api_key_state, cx)
73 }
74
75 fn authenticate(&mut self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
76 let api_url = MistralLanguageModelProvider::api_url(cx);
77 self.api_key_state
78 .load_if_needed(api_url, |this| &mut this.api_key_state, cx)
79 }
80
81 fn authenticate_codestral(
82 &mut self,
83 cx: &mut Context<Self>,
84 ) -> Task<Result<(), AuthenticateError>> {
85 self.codestral_api_key_state.update(cx, |state, cx| {
86 state.load_if_needed(CODESTRAL_API_URL.into(), |state| state, cx)
87 })
88 }
89}
90
91struct GlobalMistralLanguageModelProvider(Arc<MistralLanguageModelProvider>);
92
93impl Global for GlobalMistralLanguageModelProvider {}
94
95impl MistralLanguageModelProvider {
96 pub fn try_global(cx: &App) -> Option<&Arc<MistralLanguageModelProvider>> {
97 cx.try_global::<GlobalMistralLanguageModelProvider>()
98 .map(|this| &this.0)
99 }
100
101 pub fn global(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Arc<Self> {
102 if let Some(this) = cx.try_global::<GlobalMistralLanguageModelProvider>() {
103 return this.0.clone();
104 }
105 let state = cx.new(|cx| {
106 cx.observe_global::<SettingsStore>(|this: &mut State, cx| {
107 let api_url = Self::api_url(cx);
108 this.api_key_state
109 .handle_url_change(api_url, |this| &mut this.api_key_state, cx);
110 cx.notify();
111 })
112 .detach();
113 State {
114 api_key_state: ApiKeyState::new(Self::api_url(cx), (*API_KEY_ENV_VAR).clone()),
115 codestral_api_key_state: codestral_api_key(cx),
116 }
117 });
118
119 let this = Arc::new(Self { http_client, state });
120 cx.set_global(GlobalMistralLanguageModelProvider(this));
121 cx.global::<GlobalMistralLanguageModelProvider>().0.clone()
122 }
123
124 pub fn load_codestral_api_key(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
125 self.state
126 .update(cx, |state, cx| state.authenticate_codestral(cx))
127 }
128
129 pub fn codestral_api_key(&self, url: &str, cx: &App) -> Option<Arc<str>> {
130 self.state
131 .read(cx)
132 .codestral_api_key_state
133 .read(cx)
134 .key(url)
135 }
136
137 fn create_language_model(&self, model: mistral::Model) -> Arc<dyn LanguageModel> {
138 Arc::new(MistralLanguageModel {
139 id: LanguageModelId::from(model.id().to_string()),
140 model,
141 state: self.state.clone(),
142 http_client: self.http_client.clone(),
143 request_limiter: RateLimiter::new(4),
144 })
145 }
146
147 fn settings(cx: &App) -> &MistralSettings {
148 &crate::AllLanguageModelSettings::get_global(cx).mistral
149 }
150
151 pub fn api_url(cx: &App) -> SharedString {
152 let api_url = &Self::settings(cx).api_url;
153 if api_url.is_empty() {
154 mistral::MISTRAL_API_URL.into()
155 } else {
156 SharedString::new(api_url.as_str())
157 }
158 }
159}
160
161impl LanguageModelProviderState for MistralLanguageModelProvider {
162 type ObservableEntity = State;
163
164 fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {
165 Some(self.state.clone())
166 }
167}
168
169impl LanguageModelProvider for MistralLanguageModelProvider {
170 fn id(&self) -> LanguageModelProviderId {
171 PROVIDER_ID
172 }
173
174 fn name(&self) -> LanguageModelProviderName {
175 PROVIDER_NAME
176 }
177
178 fn icon(&self) -> IconOrSvg {
179 IconOrSvg::Icon(IconName::AiMistral)
180 }
181
182 fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
183 Some(self.create_language_model(mistral::Model::default()))
184 }
185
186 fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
187 Some(self.create_language_model(mistral::Model::default_fast()))
188 }
189
190 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
191 let mut models = BTreeMap::default();
192
193 // Add base models from mistral::Model::iter()
194 for model in mistral::Model::iter() {
195 if !matches!(model, mistral::Model::Custom { .. }) {
196 models.insert(model.id().to_string(), model);
197 }
198 }
199
200 // Override with available models from settings
201 for model in &Self::settings(cx).available_models {
202 models.insert(
203 model.name.clone(),
204 mistral::Model::Custom {
205 name: model.name.clone(),
206 display_name: model.display_name.clone(),
207 max_tokens: model.max_tokens,
208 max_output_tokens: model.max_output_tokens,
209 max_completion_tokens: model.max_completion_tokens,
210 supports_tools: model.supports_tools,
211 supports_images: model.supports_images,
212 supports_thinking: model.supports_thinking,
213 },
214 );
215 }
216
217 models
218 .into_values()
219 .map(|model| {
220 Arc::new(MistralLanguageModel {
221 id: LanguageModelId::from(model.id().to_string()),
222 model,
223 state: self.state.clone(),
224 http_client: self.http_client.clone(),
225 request_limiter: RateLimiter::new(4),
226 }) as Arc<dyn LanguageModel>
227 })
228 .collect()
229 }
230
231 fn is_authenticated(&self, cx: &App) -> bool {
232 self.state.read(cx).is_authenticated()
233 }
234
235 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
236 self.state.update(cx, |state, cx| state.authenticate(cx))
237 }
238
239 fn configuration_view(
240 &self,
241 _target_agent: language_model::ConfigurationViewTargetAgent,
242 window: &mut Window,
243 cx: &mut App,
244 ) -> AnyView {
245 cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
246 .into()
247 }
248
249 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
250 self.state
251 .update(cx, |state, cx| state.set_api_key(None, cx))
252 }
253}
254
255pub struct MistralLanguageModel {
256 id: LanguageModelId,
257 model: mistral::Model,
258 state: Entity<State>,
259 http_client: Arc<dyn HttpClient>,
260 request_limiter: RateLimiter,
261}
262
263impl MistralLanguageModel {
264 fn stream_completion(
265 &self,
266 request: mistral::Request,
267 bypass_rate_limit: bool,
268 cx: &AsyncApp,
269 ) -> BoxFuture<
270 'static,
271 Result<futures::stream::BoxStream<'static, Result<mistral::StreamResponse>>>,
272 > {
273 let http_client = self.http_client.clone();
274
275 let (api_key, api_url) = self.state.read_with(cx, |state, cx| {
276 let api_url = MistralLanguageModelProvider::api_url(cx);
277 (state.api_key_state.key(&api_url), api_url)
278 });
279
280 let future = self.request_limiter.stream_with_bypass(
281 async move {
282 let Some(api_key) = api_key else {
283 return Err(LanguageModelCompletionError::NoApiKey {
284 provider: PROVIDER_NAME,
285 });
286 };
287 let request =
288 mistral::stream_completion(http_client.as_ref(), &api_url, &api_key, request);
289 let response = request.await?;
290 Ok(response)
291 },
292 bypass_rate_limit,
293 );
294
295 async move { Ok(future.await?.boxed()) }.boxed()
296 }
297}
298
299impl LanguageModel for MistralLanguageModel {
300 fn id(&self) -> LanguageModelId {
301 self.id.clone()
302 }
303
304 fn name(&self) -> LanguageModelName {
305 LanguageModelName::from(self.model.display_name().to_string())
306 }
307
308 fn provider_id(&self) -> LanguageModelProviderId {
309 PROVIDER_ID
310 }
311
312 fn provider_name(&self) -> LanguageModelProviderName {
313 PROVIDER_NAME
314 }
315
316 fn supports_tools(&self) -> bool {
317 self.model.supports_tools()
318 }
319
320 fn supports_tool_choice(&self, _choice: LanguageModelToolChoice) -> bool {
321 self.model.supports_tools()
322 }
323
324 fn supports_images(&self) -> bool {
325 self.model.supports_images()
326 }
327
328 fn telemetry_id(&self) -> String {
329 format!("mistral/{}", self.model.id())
330 }
331
332 fn max_token_count(&self) -> u64 {
333 self.model.max_token_count()
334 }
335
336 fn max_output_tokens(&self) -> Option<u64> {
337 self.model.max_output_tokens()
338 }
339
340 fn count_tokens(
341 &self,
342 request: LanguageModelRequest,
343 cx: &App,
344 ) -> BoxFuture<'static, Result<u64>> {
345 cx.background_spawn(async move {
346 let messages = request
347 .messages
348 .into_iter()
349 .map(|message| tiktoken_rs::ChatCompletionRequestMessage {
350 role: match message.role {
351 Role::User => "user".into(),
352 Role::Assistant => "assistant".into(),
353 Role::System => "system".into(),
354 },
355 content: Some(message.string_contents()),
356 name: None,
357 function_call: None,
358 })
359 .collect::<Vec<_>>();
360
361 tiktoken_rs::num_tokens_from_messages("gpt-4", &messages).map(|tokens| tokens as u64)
362 })
363 .boxed()
364 }
365
366 fn stream_completion(
367 &self,
368 request: LanguageModelRequest,
369 cx: &AsyncApp,
370 ) -> BoxFuture<
371 'static,
372 Result<
373 BoxStream<'static, Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>,
374 LanguageModelCompletionError,
375 >,
376 > {
377 let bypass_rate_limit = request.bypass_rate_limit;
378 let request = into_mistral(request, self.model.clone(), self.max_output_tokens());
379 let stream = self.stream_completion(request, bypass_rate_limit, cx);
380
381 async move {
382 let stream = stream.await?;
383 let mapper = MistralEventMapper::new();
384 Ok(mapper.map_stream(stream).boxed())
385 }
386 .boxed()
387 }
388}
389
390pub fn into_mistral(
391 request: LanguageModelRequest,
392 model: mistral::Model,
393 max_output_tokens: Option<u64>,
394) -> mistral::Request {
395 let stream = true;
396
397 let mut messages = Vec::new();
398 for message in &request.messages {
399 match message.role {
400 Role::User => {
401 let mut message_content = mistral::MessageContent::empty();
402 for content in &message.content {
403 match content {
404 MessageContent::Text(text) => {
405 message_content
406 .push_part(mistral::MessagePart::Text { text: text.clone() });
407 }
408 MessageContent::Image(image_content) => {
409 if model.supports_images() {
410 message_content.push_part(mistral::MessagePart::ImageUrl {
411 image_url: image_content.to_base64_url(),
412 });
413 }
414 }
415 MessageContent::Thinking { text, .. } => {
416 if model.supports_thinking() {
417 message_content.push_part(mistral::MessagePart::Thinking {
418 thinking: vec![mistral::ThinkingPart::Text {
419 text: text.clone(),
420 }],
421 });
422 }
423 }
424 MessageContent::RedactedThinking(_) => {}
425 MessageContent::ToolUse(_) => {
426 // Tool use is not supported in User messages for Mistral
427 }
428 MessageContent::ToolResult(tool_result) => {
429 let tool_content = match &tool_result.content {
430 LanguageModelToolResultContent::Text(text) => text.to_string(),
431 LanguageModelToolResultContent::Image(_) => {
432 "[Tool responded with an image, but Zed doesn't support these in Mistral models yet]".to_string()
433 }
434 };
435 messages.push(mistral::RequestMessage::Tool {
436 content: tool_content,
437 tool_call_id: tool_result.tool_use_id.to_string(),
438 });
439 }
440 }
441 }
442 if !matches!(message_content, mistral::MessageContent::Plain { ref content } if content.is_empty())
443 {
444 messages.push(mistral::RequestMessage::User {
445 content: message_content,
446 });
447 }
448 }
449 Role::Assistant => {
450 for content in &message.content {
451 match content {
452 MessageContent::Text(text) => {
453 messages.push(mistral::RequestMessage::Assistant {
454 content: Some(mistral::MessageContent::Plain {
455 content: text.clone(),
456 }),
457 tool_calls: Vec::new(),
458 });
459 }
460 MessageContent::Thinking { text, .. } => {
461 if model.supports_thinking() {
462 messages.push(mistral::RequestMessage::Assistant {
463 content: Some(mistral::MessageContent::Multipart {
464 content: vec![mistral::MessagePart::Thinking {
465 thinking: vec![mistral::ThinkingPart::Text {
466 text: text.clone(),
467 }],
468 }],
469 }),
470 tool_calls: Vec::new(),
471 });
472 }
473 }
474 MessageContent::RedactedThinking(_) => {}
475 MessageContent::Image(_) => {}
476 MessageContent::ToolUse(tool_use) => {
477 let tool_call = mistral::ToolCall {
478 id: tool_use.id.to_string(),
479 content: mistral::ToolCallContent::Function {
480 function: mistral::FunctionContent {
481 name: tool_use.name.to_string(),
482 arguments: serde_json::to_string(&tool_use.input)
483 .unwrap_or_default(),
484 },
485 },
486 };
487
488 if let Some(mistral::RequestMessage::Assistant { tool_calls, .. }) =
489 messages.last_mut()
490 {
491 tool_calls.push(tool_call);
492 } else {
493 messages.push(mistral::RequestMessage::Assistant {
494 content: None,
495 tool_calls: vec![tool_call],
496 });
497 }
498 }
499 MessageContent::ToolResult(_) => {
500 // Tool results are not supported in Assistant messages
501 }
502 }
503 }
504 }
505 Role::System => {
506 for content in &message.content {
507 match content {
508 MessageContent::Text(text) => {
509 messages.push(mistral::RequestMessage::System {
510 content: mistral::MessageContent::Plain {
511 content: text.clone(),
512 },
513 });
514 }
515 MessageContent::Thinking { text, .. } => {
516 if model.supports_thinking() {
517 messages.push(mistral::RequestMessage::System {
518 content: mistral::MessageContent::Multipart {
519 content: vec![mistral::MessagePart::Thinking {
520 thinking: vec![mistral::ThinkingPart::Text {
521 text: text.clone(),
522 }],
523 }],
524 },
525 });
526 }
527 }
528 MessageContent::RedactedThinking(_) => {}
529 MessageContent::Image(_)
530 | MessageContent::ToolUse(_)
531 | MessageContent::ToolResult(_) => {
532 // Images and tools are not supported in System messages
533 }
534 }
535 }
536 }
537 }
538 }
539
540 mistral::Request {
541 model: model.id().to_string(),
542 messages,
543 stream,
544 max_tokens: max_output_tokens,
545 temperature: request.temperature,
546 response_format: None,
547 tool_choice: match request.tool_choice {
548 Some(LanguageModelToolChoice::Auto) if !request.tools.is_empty() => {
549 Some(mistral::ToolChoice::Auto)
550 }
551 Some(LanguageModelToolChoice::Any) if !request.tools.is_empty() => {
552 Some(mistral::ToolChoice::Any)
553 }
554 Some(LanguageModelToolChoice::None) => Some(mistral::ToolChoice::None),
555 _ if !request.tools.is_empty() => Some(mistral::ToolChoice::Auto),
556 _ => None,
557 },
558 parallel_tool_calls: if !request.tools.is_empty() {
559 Some(false)
560 } else {
561 None
562 },
563 tools: request
564 .tools
565 .into_iter()
566 .map(|tool| mistral::ToolDefinition::Function {
567 function: mistral::FunctionDefinition {
568 name: tool.name,
569 description: Some(tool.description),
570 parameters: Some(tool.input_schema),
571 },
572 })
573 .collect(),
574 }
575}
576
577pub struct MistralEventMapper {
578 tool_calls_by_index: HashMap<usize, RawToolCall>,
579}
580
581impl MistralEventMapper {
582 pub fn new() -> Self {
583 Self {
584 tool_calls_by_index: HashMap::default(),
585 }
586 }
587
588 pub fn map_stream(
589 mut self,
590 events: Pin<Box<dyn Send + Stream<Item = Result<StreamResponse>>>>,
591 ) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>
592 {
593 events.flat_map(move |event| {
594 futures::stream::iter(match event {
595 Ok(event) => self.map_event(event),
596 Err(error) => vec![Err(LanguageModelCompletionError::from(error))],
597 })
598 })
599 }
600
601 pub fn map_event(
602 &mut self,
603 event: mistral::StreamResponse,
604 ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
605 let Some(choice) = event.choices.first() else {
606 return vec![Err(LanguageModelCompletionError::from(anyhow!(
607 "Response contained no choices"
608 )))];
609 };
610
611 let mut events = Vec::new();
612 if let Some(content) = choice.delta.content.as_ref() {
613 match content {
614 mistral::MessageContentDelta::Text(text) => {
615 events.push(Ok(LanguageModelCompletionEvent::Text(text.clone())));
616 }
617 mistral::MessageContentDelta::Parts(parts) => {
618 for part in parts {
619 match part {
620 mistral::MessagePart::Text { text } => {
621 events.push(Ok(LanguageModelCompletionEvent::Text(text.clone())));
622 }
623 mistral::MessagePart::Thinking { thinking } => {
624 for tp in thinking.iter().cloned() {
625 match tp {
626 mistral::ThinkingPart::Text { text } => {
627 events.push(Ok(
628 LanguageModelCompletionEvent::Thinking {
629 text,
630 signature: None,
631 },
632 ));
633 }
634 }
635 }
636 }
637 mistral::MessagePart::ImageUrl { .. } => {
638 // We currently don't emit a separate event for images in responses.
639 }
640 }
641 }
642 }
643 }
644 }
645
646 if let Some(tool_calls) = choice.delta.tool_calls.as_ref() {
647 for tool_call in tool_calls {
648 let entry = self.tool_calls_by_index.entry(tool_call.index).or_default();
649
650 if let Some(tool_id) = tool_call.id.clone() {
651 entry.id = tool_id;
652 }
653
654 if let Some(function) = tool_call.function.as_ref() {
655 if let Some(name) = function.name.clone() {
656 entry.name = name;
657 }
658
659 if let Some(arguments) = function.arguments.clone() {
660 entry.arguments.push_str(&arguments);
661 }
662 }
663 }
664 }
665
666 if let Some(usage) = event.usage {
667 events.push(Ok(LanguageModelCompletionEvent::UsageUpdate(TokenUsage {
668 input_tokens: usage.prompt_tokens,
669 output_tokens: usage.completion_tokens,
670 cache_creation_input_tokens: 0,
671 cache_read_input_tokens: 0,
672 })));
673 }
674
675 if let Some(finish_reason) = choice.finish_reason.as_deref() {
676 match finish_reason {
677 "stop" => {
678 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
679 }
680 "tool_calls" => {
681 events.extend(self.process_tool_calls());
682 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::ToolUse)));
683 }
684 unexpected => {
685 log::error!("Unexpected Mistral stop_reason: {unexpected:?}");
686 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
687 }
688 }
689 }
690
691 events
692 }
693
694 fn process_tool_calls(
695 &mut self,
696 ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
697 let mut results = Vec::new();
698
699 for (_, tool_call) in self.tool_calls_by_index.drain() {
700 if tool_call.id.is_empty() || tool_call.name.is_empty() {
701 results.push(Err(LanguageModelCompletionError::from(anyhow!(
702 "Received incomplete tool call: missing id or name"
703 ))));
704 continue;
705 }
706
707 match serde_json::Value::from_str(&tool_call.arguments) {
708 Ok(input) => results.push(Ok(LanguageModelCompletionEvent::ToolUse(
709 LanguageModelToolUse {
710 id: tool_call.id.into(),
711 name: tool_call.name.into(),
712 is_input_complete: true,
713 input,
714 raw_input: tool_call.arguments,
715 thought_signature: None,
716 },
717 ))),
718 Err(error) => {
719 results.push(Ok(LanguageModelCompletionEvent::ToolUseJsonParseError {
720 id: tool_call.id.into(),
721 tool_name: tool_call.name.into(),
722 raw_input: tool_call.arguments.into(),
723 json_parse_error: error.to_string(),
724 }))
725 }
726 }
727 }
728
729 results
730 }
731}
732
733#[derive(Default)]
734struct RawToolCall {
735 id: String,
736 name: String,
737 arguments: String,
738}
739
740struct ConfigurationView {
741 api_key_editor: Entity<InputField>,
742 state: Entity<State>,
743 load_credentials_task: Option<Task<()>>,
744}
745
746impl ConfigurationView {
747 fn new(state: Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
748 let api_key_editor =
749 cx.new(|cx| InputField::new(window, cx, "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"));
750
751 cx.observe(&state, |_, _, cx| {
752 cx.notify();
753 })
754 .detach();
755
756 let load_credentials_task = Some(cx.spawn_in(window, {
757 let state = state.clone();
758 async move |this, cx| {
759 if let Some(task) = Some(state.update(cx, |state, cx| state.authenticate(cx))) {
760 // We don't log an error, because "not signed in" is also an error.
761 let _ = task.await;
762 }
763
764 this.update(cx, |this, cx| {
765 this.load_credentials_task = None;
766 cx.notify();
767 })
768 .log_err();
769 }
770 }));
771
772 Self {
773 api_key_editor,
774 state,
775 load_credentials_task,
776 }
777 }
778
779 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
780 let api_key = self.api_key_editor.read(cx).text(cx).trim().to_string();
781 if api_key.is_empty() {
782 return;
783 }
784
785 // url changes can cause the editor to be displayed again
786 self.api_key_editor
787 .update(cx, |editor, cx| editor.set_text("", window, cx));
788
789 let state = self.state.clone();
790 cx.spawn_in(window, async move |_, cx| {
791 state
792 .update(cx, |state, cx| state.set_api_key(Some(api_key), cx))
793 .await
794 })
795 .detach_and_log_err(cx);
796 }
797
798 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
799 self.api_key_editor
800 .update(cx, |editor, cx| editor.set_text("", window, cx));
801
802 let state = self.state.clone();
803 cx.spawn_in(window, async move |_, cx| {
804 state
805 .update(cx, |state, cx| state.set_api_key(None, cx))
806 .await
807 })
808 .detach_and_log_err(cx);
809 }
810
811 fn should_render_api_key_editor(&self, cx: &mut Context<Self>) -> bool {
812 !self.state.read(cx).is_authenticated()
813 }
814}
815
816impl Render for ConfigurationView {
817 fn render(&mut self, _window: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
818 let env_var_set = self.state.read(cx).api_key_state.is_from_env_var();
819 let configured_card_label = if env_var_set {
820 format!("API key set in {API_KEY_ENV_VAR_NAME} environment variable")
821 } else {
822 let api_url = MistralLanguageModelProvider::api_url(cx);
823 if api_url == MISTRAL_API_URL {
824 "API key configured".to_string()
825 } else {
826 format!("API key configured for {}", api_url)
827 }
828 };
829
830 if self.load_credentials_task.is_some() {
831 div().child(Label::new("Loading credentials...")).into_any()
832 } else if self.should_render_api_key_editor(cx) {
833 v_flex()
834 .size_full()
835 .on_action(cx.listener(Self::save_api_key))
836 .child(Label::new("To use Zed's agent with Mistral, you need to add an API key. Follow these steps:"))
837 .child(
838 List::new()
839 .child(
840 ListBulletItem::new("")
841 .child(Label::new("Create one by visiting"))
842 .child(ButtonLink::new("Mistral's console", "https://console.mistral.ai/api-keys"))
843 )
844 .child(
845 ListBulletItem::new("Ensure your Mistral account has credits")
846 )
847 .child(
848 ListBulletItem::new("Paste your API key below and hit enter to start using the assistant")
849 ),
850 )
851 .child(self.api_key_editor.clone())
852 .child(
853 Label::new(
854 format!("You can also set the {API_KEY_ENV_VAR_NAME} environment variable and restart Zed."),
855 )
856 .size(LabelSize::Small).color(Color::Muted),
857 )
858 .into_any()
859 } else {
860 v_flex()
861 .size_full()
862 .gap_1()
863 .child(
864 ConfiguredApiCard::new(configured_card_label)
865 .disabled(env_var_set)
866 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx)))
867 .when(env_var_set, |this| {
868 this.tooltip_label(format!(
869 "To reset your API key, \
870 unset the {API_KEY_ENV_VAR_NAME} environment variable."
871 ))
872 }),
873 )
874 .into_any()
875 }
876 }
877}
878
879#[cfg(test)]
880mod tests {
881 use super::*;
882 use language_model::{LanguageModelImage, LanguageModelRequestMessage, MessageContent};
883
884 #[test]
885 fn test_into_mistral_basic_conversion() {
886 let request = LanguageModelRequest {
887 messages: vec![
888 LanguageModelRequestMessage {
889 role: Role::System,
890 content: vec![MessageContent::Text("System prompt".into())],
891 cache: false,
892 reasoning_details: None,
893 },
894 LanguageModelRequestMessage {
895 role: Role::User,
896 content: vec![MessageContent::Text("Hello".into())],
897 cache: false,
898 reasoning_details: None,
899 },
900 ],
901 temperature: Some(0.5),
902 tools: vec![],
903 tool_choice: None,
904 thread_id: None,
905 prompt_id: None,
906 intent: None,
907 stop: vec![],
908 thinking_allowed: true,
909 bypass_rate_limit: false,
910 };
911
912 let mistral_request = into_mistral(request, mistral::Model::MistralSmallLatest, None);
913
914 assert_eq!(mistral_request.model, "mistral-small-latest");
915 assert_eq!(mistral_request.temperature, Some(0.5));
916 assert_eq!(mistral_request.messages.len(), 2);
917 assert!(mistral_request.stream);
918 }
919
920 #[test]
921 fn test_into_mistral_with_image() {
922 let request = LanguageModelRequest {
923 messages: vec![LanguageModelRequestMessage {
924 role: Role::User,
925 content: vec![
926 MessageContent::Text("What's in this image?".into()),
927 MessageContent::Image(LanguageModelImage {
928 source: "base64data".into(),
929 size: None,
930 }),
931 ],
932 cache: false,
933 reasoning_details: None,
934 }],
935 tools: vec![],
936 tool_choice: None,
937 temperature: None,
938 thread_id: None,
939 prompt_id: None,
940 intent: None,
941 stop: vec![],
942 thinking_allowed: true,
943 bypass_rate_limit: false,
944 };
945
946 let mistral_request = into_mistral(request, mistral::Model::Pixtral12BLatest, None);
947
948 assert_eq!(mistral_request.messages.len(), 1);
949 assert!(matches!(
950 &mistral_request.messages[0],
951 mistral::RequestMessage::User {
952 content: mistral::MessageContent::Multipart { .. }
953 }
954 ));
955
956 if let mistral::RequestMessage::User {
957 content: mistral::MessageContent::Multipart { content },
958 } = &mistral_request.messages[0]
959 {
960 assert_eq!(content.len(), 2);
961 assert!(matches!(
962 &content[0],
963 mistral::MessagePart::Text { text } if text == "What's in this image?"
964 ));
965 assert!(matches!(
966 &content[1],
967 mistral::MessagePart::ImageUrl { image_url } if image_url.starts_with("data:image/png;base64,")
968 ));
969 }
970 }
971}