mistral.rs

  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::{MISTRAL_API_URL, StreamResponse};
 15pub use settings::MistralAvailableModel as AvailableModel;
 16use settings::{Settings, SettingsStore};
 17use std::collections::HashMap;
 18use std::pin::Pin;
 19use std::sync::{Arc, LazyLock};
 20use strum::IntoEnumIterator;
 21use ui::{ButtonLink, ConfiguredApiCard, List, ListBulletItem, prelude::*};
 22use ui_input::InputField;
 23use util::ResultExt;
 24
 25use crate::provider::util::parse_tool_arguments;
 26
 27const PROVIDER_ID: LanguageModelProviderId = LanguageModelProviderId::new("mistral");
 28const PROVIDER_NAME: LanguageModelProviderName = LanguageModelProviderName::new("Mistral");
 29
 30const API_KEY_ENV_VAR_NAME: &str = "MISTRAL_API_KEY";
 31static API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(API_KEY_ENV_VAR_NAME);
 32
 33#[derive(Default, Clone, Debug, PartialEq)]
 34pub struct MistralSettings {
 35    pub api_url: String,
 36    pub available_models: Vec<AvailableModel>,
 37}
 38
 39pub struct MistralLanguageModelProvider {
 40    http_client: Arc<dyn HttpClient>,
 41    pub state: Entity<State>,
 42}
 43
 44pub struct State {
 45    api_key_state: ApiKeyState,
 46}
 47
 48impl State {
 49    fn is_authenticated(&self) -> bool {
 50        self.api_key_state.has_key()
 51    }
 52
 53    fn set_api_key(&mut self, api_key: Option<String>, cx: &mut Context<Self>) -> Task<Result<()>> {
 54        let api_url = MistralLanguageModelProvider::api_url(cx);
 55        self.api_key_state
 56            .store(api_url, api_key, |this| &mut this.api_key_state, cx)
 57    }
 58
 59    fn authenticate(&mut self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
 60        let api_url = MistralLanguageModelProvider::api_url(cx);
 61        self.api_key_state
 62            .load_if_needed(api_url, |this| &mut this.api_key_state, cx)
 63    }
 64}
 65
 66struct GlobalMistralLanguageModelProvider(Arc<MistralLanguageModelProvider>);
 67
 68impl Global for GlobalMistralLanguageModelProvider {}
 69
 70impl MistralLanguageModelProvider {
 71    pub fn try_global(cx: &App) -> Option<&Arc<MistralLanguageModelProvider>> {
 72        cx.try_global::<GlobalMistralLanguageModelProvider>()
 73            .map(|this| &this.0)
 74    }
 75
 76    pub fn global(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Arc<Self> {
 77        if let Some(this) = cx.try_global::<GlobalMistralLanguageModelProvider>() {
 78            return this.0.clone();
 79        }
 80        let state = cx.new(|cx| {
 81            cx.observe_global::<SettingsStore>(|this: &mut State, cx| {
 82                let api_url = Self::api_url(cx);
 83                this.api_key_state
 84                    .handle_url_change(api_url, |this| &mut this.api_key_state, cx);
 85                cx.notify();
 86            })
 87            .detach();
 88            State {
 89                api_key_state: ApiKeyState::new(Self::api_url(cx), (*API_KEY_ENV_VAR).clone()),
 90            }
 91        });
 92
 93        let this = Arc::new(Self { http_client, state });
 94        cx.set_global(GlobalMistralLanguageModelProvider(this));
 95        cx.global::<GlobalMistralLanguageModelProvider>().0.clone()
 96    }
 97
 98    fn create_language_model(&self, model: mistral::Model) -> Arc<dyn LanguageModel> {
 99        Arc::new(MistralLanguageModel {
100            id: LanguageModelId::from(model.id().to_string()),
101            model,
102            state: self.state.clone(),
103            http_client: self.http_client.clone(),
104            request_limiter: RateLimiter::new(4),
105        })
106    }
107
108    fn settings(cx: &App) -> &MistralSettings {
109        &crate::AllLanguageModelSettings::get_global(cx).mistral
110    }
111
112    pub fn api_url(cx: &App) -> SharedString {
113        let api_url = &Self::settings(cx).api_url;
114        if api_url.is_empty() {
115            mistral::MISTRAL_API_URL.into()
116        } else {
117            SharedString::new(api_url.as_str())
118        }
119    }
120}
121
122impl LanguageModelProviderState for MistralLanguageModelProvider {
123    type ObservableEntity = State;
124
125    fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {
126        Some(self.state.clone())
127    }
128}
129
130impl LanguageModelProvider for MistralLanguageModelProvider {
131    fn id(&self) -> LanguageModelProviderId {
132        PROVIDER_ID
133    }
134
135    fn name(&self) -> LanguageModelProviderName {
136        PROVIDER_NAME
137    }
138
139    fn icon(&self) -> IconOrSvg {
140        IconOrSvg::Icon(IconName::AiMistral)
141    }
142
143    fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
144        Some(self.create_language_model(mistral::Model::default()))
145    }
146
147    fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
148        Some(self.create_language_model(mistral::Model::default_fast()))
149    }
150
151    fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
152        let mut models = BTreeMap::default();
153
154        // Add base models from mistral::Model::iter()
155        for model in mistral::Model::iter() {
156            if !matches!(model, mistral::Model::Custom { .. }) {
157                models.insert(model.id().to_string(), model);
158            }
159        }
160
161        // Override with available models from settings
162        for model in &Self::settings(cx).available_models {
163            models.insert(
164                model.name.clone(),
165                mistral::Model::Custom {
166                    name: model.name.clone(),
167                    display_name: model.display_name.clone(),
168                    max_tokens: model.max_tokens,
169                    max_output_tokens: model.max_output_tokens,
170                    max_completion_tokens: model.max_completion_tokens,
171                    supports_tools: model.supports_tools,
172                    supports_images: model.supports_images,
173                    supports_thinking: model.supports_thinking,
174                },
175            );
176        }
177
178        models
179            .into_values()
180            .map(|model| {
181                Arc::new(MistralLanguageModel {
182                    id: LanguageModelId::from(model.id().to_string()),
183                    model,
184                    state: self.state.clone(),
185                    http_client: self.http_client.clone(),
186                    request_limiter: RateLimiter::new(4),
187                }) as Arc<dyn LanguageModel>
188            })
189            .collect()
190    }
191
192    fn is_authenticated(&self, cx: &App) -> bool {
193        self.state.read(cx).is_authenticated()
194    }
195
196    fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
197        self.state.update(cx, |state, cx| state.authenticate(cx))
198    }
199
200    fn configuration_view(
201        &self,
202        _target_agent: language_model::ConfigurationViewTargetAgent,
203        window: &mut Window,
204        cx: &mut App,
205    ) -> AnyView {
206        cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
207            .into()
208    }
209
210    fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
211        self.state
212            .update(cx, |state, cx| state.set_api_key(None, cx))
213    }
214}
215
216pub struct MistralLanguageModel {
217    id: LanguageModelId,
218    model: mistral::Model,
219    state: Entity<State>,
220    http_client: Arc<dyn HttpClient>,
221    request_limiter: RateLimiter,
222}
223
224impl MistralLanguageModel {
225    fn stream_completion(
226        &self,
227        request: mistral::Request,
228        affinity: Option<String>,
229        cx: &AsyncApp,
230    ) -> BoxFuture<
231        'static,
232        Result<futures::stream::BoxStream<'static, Result<mistral::StreamResponse>>>,
233    > {
234        let http_client = self.http_client.clone();
235
236        let (api_key, api_url) = self.state.read_with(cx, |state, cx| {
237            let api_url = MistralLanguageModelProvider::api_url(cx);
238            (state.api_key_state.key(&api_url), api_url)
239        });
240
241        let future = self.request_limiter.stream(async move {
242            let Some(api_key) = api_key else {
243                return Err(LanguageModelCompletionError::NoApiKey {
244                    provider: PROVIDER_NAME,
245                });
246            };
247            let request = mistral::stream_completion(
248                http_client.as_ref(),
249                &api_url,
250                &api_key,
251                request,
252                affinity,
253            );
254            let response = request.await?;
255            Ok(response)
256        });
257
258        async move { Ok(future.await?.boxed()) }.boxed()
259    }
260}
261
262impl LanguageModel for MistralLanguageModel {
263    fn id(&self) -> LanguageModelId {
264        self.id.clone()
265    }
266
267    fn name(&self) -> LanguageModelName {
268        LanguageModelName::from(self.model.display_name().to_string())
269    }
270
271    fn provider_id(&self) -> LanguageModelProviderId {
272        PROVIDER_ID
273    }
274
275    fn provider_name(&self) -> LanguageModelProviderName {
276        PROVIDER_NAME
277    }
278
279    fn supports_tools(&self) -> bool {
280        self.model.supports_tools()
281    }
282
283    fn supports_streaming_tools(&self) -> bool {
284        true
285    }
286
287    fn supports_tool_choice(&self, _choice: LanguageModelToolChoice) -> bool {
288        self.model.supports_tools()
289    }
290
291    fn supports_images(&self) -> bool {
292        self.model.supports_images()
293    }
294
295    fn telemetry_id(&self) -> String {
296        format!("mistral/{}", self.model.id())
297    }
298
299    fn max_token_count(&self) -> u64 {
300        self.model.max_token_count()
301    }
302
303    fn max_output_tokens(&self) -> Option<u64> {
304        self.model.max_output_tokens()
305    }
306
307    fn count_tokens(
308        &self,
309        request: LanguageModelRequest,
310        cx: &App,
311    ) -> BoxFuture<'static, Result<u64>> {
312        cx.background_spawn(async move {
313            let messages = request
314                .messages
315                .into_iter()
316                .map(|message| tiktoken_rs::ChatCompletionRequestMessage {
317                    role: match message.role {
318                        Role::User => "user".into(),
319                        Role::Assistant => "assistant".into(),
320                        Role::System => "system".into(),
321                    },
322                    content: Some(message.string_contents()),
323                    name: None,
324                    function_call: None,
325                })
326                .collect::<Vec<_>>();
327
328            tiktoken_rs::num_tokens_from_messages("gpt-4", &messages).map(|tokens| tokens as u64)
329        })
330        .boxed()
331    }
332
333    fn stream_completion(
334        &self,
335        request: LanguageModelRequest,
336        cx: &AsyncApp,
337    ) -> BoxFuture<
338        'static,
339        Result<
340            BoxStream<'static, Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>,
341            LanguageModelCompletionError,
342        >,
343    > {
344        let (request, affinity) =
345            into_mistral(request, self.model.clone(), self.max_output_tokens());
346        let stream = self.stream_completion(request, affinity, cx);
347
348        async move {
349            let stream = stream.await?;
350            let mapper = MistralEventMapper::new();
351            Ok(mapper.map_stream(stream).boxed())
352        }
353        .boxed()
354    }
355}
356
357pub fn into_mistral(
358    request: LanguageModelRequest,
359    model: mistral::Model,
360    max_output_tokens: Option<u64>,
361) -> (mistral::Request, Option<String>) {
362    let stream = true;
363
364    let mut messages = Vec::new();
365    for message in &request.messages {
366        match message.role {
367            Role::User => {
368                let mut message_content = mistral::MessageContent::empty();
369                for content in &message.content {
370                    match content {
371                        MessageContent::Text(text) => {
372                            message_content
373                                .push_part(mistral::MessagePart::Text { text: text.clone() });
374                        }
375                        MessageContent::Image(image_content) => {
376                            if model.supports_images() {
377                                message_content.push_part(mistral::MessagePart::ImageUrl {
378                                    image_url: image_content.to_base64_url(),
379                                });
380                            }
381                        }
382                        MessageContent::Thinking { text, .. } => {
383                            if model.supports_thinking() {
384                                message_content.push_part(mistral::MessagePart::Thinking {
385                                    thinking: vec![mistral::ThinkingPart::Text {
386                                        text: text.clone(),
387                                    }],
388                                });
389                            }
390                        }
391                        MessageContent::RedactedThinking(_) => {}
392                        MessageContent::ToolUse(_) => {
393                            // Tool use is not supported in User messages for Mistral
394                        }
395                        MessageContent::ToolResult(tool_result) => {
396                            let tool_content = match &tool_result.content {
397                                LanguageModelToolResultContent::Text(text) => text.to_string(),
398                                LanguageModelToolResultContent::Image(_) => {
399                                    "[Tool responded with an image, but Zed doesn't support these in Mistral models yet]".to_string()
400                                }
401                            };
402                            messages.push(mistral::RequestMessage::Tool {
403                                content: tool_content,
404                                tool_call_id: tool_result.tool_use_id.to_string(),
405                            });
406                        }
407                    }
408                }
409                if !matches!(message_content, mistral::MessageContent::Plain { ref content } if content.is_empty())
410                {
411                    messages.push(mistral::RequestMessage::User {
412                        content: message_content,
413                    });
414                }
415            }
416            Role::Assistant => {
417                for content in &message.content {
418                    match content {
419                        MessageContent::Text(text) if text.is_empty() => {
420                            // Mistral API returns a 400 if there's neither content nor tool_calls
421                        }
422                        MessageContent::Text(text) => {
423                            messages.push(mistral::RequestMessage::Assistant {
424                                content: Some(mistral::MessageContent::Plain {
425                                    content: text.clone(),
426                                }),
427                                tool_calls: Vec::new(),
428                            });
429                        }
430                        MessageContent::Thinking { text, .. } => {
431                            if model.supports_thinking() {
432                                messages.push(mistral::RequestMessage::Assistant {
433                                    content: Some(mistral::MessageContent::Multipart {
434                                        content: vec![mistral::MessagePart::Thinking {
435                                            thinking: vec![mistral::ThinkingPart::Text {
436                                                text: text.clone(),
437                                            }],
438                                        }],
439                                    }),
440                                    tool_calls: Vec::new(),
441                                });
442                            }
443                        }
444                        MessageContent::RedactedThinking(_) => {}
445                        MessageContent::Image(_) => {}
446                        MessageContent::ToolUse(tool_use) => {
447                            let tool_call = mistral::ToolCall {
448                                id: tool_use.id.to_string(),
449                                content: mistral::ToolCallContent::Function {
450                                    function: mistral::FunctionContent {
451                                        name: tool_use.name.to_string(),
452                                        arguments: serde_json::to_string(&tool_use.input)
453                                            .unwrap_or_default(),
454                                    },
455                                },
456                            };
457
458                            if let Some(mistral::RequestMessage::Assistant { tool_calls, .. }) =
459                                messages.last_mut()
460                            {
461                                tool_calls.push(tool_call);
462                            } else {
463                                messages.push(mistral::RequestMessage::Assistant {
464                                    content: None,
465                                    tool_calls: vec![tool_call],
466                                });
467                            }
468                        }
469                        MessageContent::ToolResult(_) => {
470                            // Tool results are not supported in Assistant messages
471                        }
472                    }
473                }
474            }
475            Role::System => {
476                for content in &message.content {
477                    match content {
478                        MessageContent::Text(text) => {
479                            messages.push(mistral::RequestMessage::System {
480                                content: mistral::MessageContent::Plain {
481                                    content: text.clone(),
482                                },
483                            });
484                        }
485                        MessageContent::Thinking { text, .. } => {
486                            if model.supports_thinking() {
487                                messages.push(mistral::RequestMessage::System {
488                                    content: mistral::MessageContent::Multipart {
489                                        content: vec![mistral::MessagePart::Thinking {
490                                            thinking: vec![mistral::ThinkingPart::Text {
491                                                text: text.clone(),
492                                            }],
493                                        }],
494                                    },
495                                });
496                            }
497                        }
498                        MessageContent::RedactedThinking(_) => {}
499                        MessageContent::Image(_)
500                        | MessageContent::ToolUse(_)
501                        | MessageContent::ToolResult(_) => {
502                            // Images and tools are not supported in System messages
503                        }
504                    }
505                }
506            }
507        }
508    }
509
510    (
511        mistral::Request {
512            model: model.id().to_string(),
513            messages,
514            stream,
515            stream_options: if stream {
516                Some(mistral::StreamOptions {
517                    stream_tool_calls: Some(true),
518                })
519            } else {
520                None
521            },
522            max_tokens: max_output_tokens,
523            temperature: request.temperature,
524            response_format: None,
525            tool_choice: match request.tool_choice {
526                Some(LanguageModelToolChoice::Auto) if !request.tools.is_empty() => {
527                    Some(mistral::ToolChoice::Auto)
528                }
529                Some(LanguageModelToolChoice::Any) if !request.tools.is_empty() => {
530                    Some(mistral::ToolChoice::Any)
531                }
532                Some(LanguageModelToolChoice::None) => Some(mistral::ToolChoice::None),
533                _ if !request.tools.is_empty() => Some(mistral::ToolChoice::Auto),
534                _ => None,
535            },
536            parallel_tool_calls: if !request.tools.is_empty() {
537                Some(false)
538            } else {
539                None
540            },
541            tools: request
542                .tools
543                .into_iter()
544                .map(|tool| mistral::ToolDefinition::Function {
545                    function: mistral::FunctionDefinition {
546                        name: tool.name,
547                        description: Some(tool.description),
548                        parameters: Some(tool.input_schema),
549                    },
550                })
551                .collect(),
552        },
553        request.thread_id,
554    )
555}
556
557pub struct MistralEventMapper {
558    tool_calls_by_index: HashMap<usize, RawToolCall>,
559}
560
561impl MistralEventMapper {
562    pub fn new() -> Self {
563        Self {
564            tool_calls_by_index: HashMap::default(),
565        }
566    }
567
568    pub fn map_stream(
569        mut self,
570        events: Pin<Box<dyn Send + Stream<Item = Result<StreamResponse>>>>,
571    ) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>
572    {
573        events.flat_map(move |event| {
574            futures::stream::iter(match event {
575                Ok(event) => self.map_event(event),
576                Err(error) => vec![Err(LanguageModelCompletionError::from(error))],
577            })
578        })
579    }
580
581    pub fn map_event(
582        &mut self,
583        event: mistral::StreamResponse,
584    ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
585        let Some(choice) = event.choices.first() else {
586            return vec![Err(LanguageModelCompletionError::from(anyhow!(
587                "Response contained no choices"
588            )))];
589        };
590
591        let mut events = Vec::new();
592        if let Some(content) = choice.delta.content.as_ref() {
593            match content {
594                mistral::MessageContentDelta::Text(text) => {
595                    events.push(Ok(LanguageModelCompletionEvent::Text(text.clone())));
596                }
597                mistral::MessageContentDelta::Parts(parts) => {
598                    for part in parts {
599                        match part {
600                            mistral::MessagePart::Text { text } => {
601                                events.push(Ok(LanguageModelCompletionEvent::Text(text.clone())));
602                            }
603                            mistral::MessagePart::Thinking { thinking } => {
604                                for tp in thinking.iter().cloned() {
605                                    match tp {
606                                        mistral::ThinkingPart::Text { text } => {
607                                            events.push(Ok(
608                                                LanguageModelCompletionEvent::Thinking {
609                                                    text,
610                                                    signature: None,
611                                                },
612                                            ));
613                                        }
614                                    }
615                                }
616                            }
617                            mistral::MessagePart::ImageUrl { .. } => {
618                                // We currently don't emit a separate event for images in responses.
619                            }
620                        }
621                    }
622                }
623            }
624        }
625
626        if let Some(tool_calls) = choice.delta.tool_calls.as_ref() {
627            for tool_call in tool_calls {
628                let entry = self.tool_calls_by_index.entry(tool_call.index).or_default();
629
630                if let Some(tool_id) = tool_call.id.clone()
631                    && !tool_id.is_empty()
632                {
633                    entry.id = tool_id;
634                }
635
636                if let Some(function) = tool_call.function.as_ref() {
637                    if let Some(name) = function.name.clone()
638                        && !name.is_empty()
639                    {
640                        entry.name = name;
641                    }
642
643                    if let Some(arguments) = function.arguments.clone() {
644                        entry.arguments.push_str(&arguments);
645                    }
646                }
647
648                if !entry.id.is_empty() && !entry.name.is_empty() {
649                    if let Ok(input) = serde_json::from_str::<serde_json::Value>(
650                        &partial_json_fixer::fix_json(&entry.arguments),
651                    ) {
652                        events.push(Ok(LanguageModelCompletionEvent::ToolUse(
653                            LanguageModelToolUse {
654                                id: entry.id.clone().into(),
655                                name: entry.name.as_str().into(),
656                                is_input_complete: false,
657                                input,
658                                raw_input: entry.arguments.clone(),
659                                thought_signature: None,
660                            },
661                        )));
662                    }
663                }
664            }
665        }
666
667        if let Some(usage) = event.usage {
668            events.push(Ok(LanguageModelCompletionEvent::UsageUpdate(TokenUsage {
669                input_tokens: usage.prompt_tokens,
670                output_tokens: usage.completion_tokens,
671                cache_creation_input_tokens: 0,
672                cache_read_input_tokens: 0,
673            })));
674        }
675
676        if let Some(finish_reason) = choice.finish_reason.as_deref() {
677            match finish_reason {
678                "stop" => {
679                    events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
680                }
681                "tool_calls" => {
682                    events.extend(self.process_tool_calls());
683                    events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::ToolUse)));
684                }
685                unexpected => {
686                    log::error!("Unexpected Mistral stop_reason: {unexpected:?}");
687                    events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
688                }
689            }
690        }
691
692        events
693    }
694
695    fn process_tool_calls(
696        &mut self,
697    ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
698        let mut results = Vec::new();
699
700        for (_, tool_call) in self.tool_calls_by_index.drain() {
701            if tool_call.id.is_empty() || tool_call.name.is_empty() {
702                results.push(Err(LanguageModelCompletionError::from(anyhow!(
703                    "Received incomplete tool call: missing id or name"
704                ))));
705                continue;
706            }
707
708            match parse_tool_arguments(&tool_call.arguments) {
709                Ok(input) => results.push(Ok(LanguageModelCompletionEvent::ToolUse(
710                    LanguageModelToolUse {
711                        id: tool_call.id.into(),
712                        name: tool_call.name.into(),
713                        is_input_complete: true,
714                        input,
715                        raw_input: tool_call.arguments,
716                        thought_signature: None,
717                    },
718                ))),
719                Err(error) => {
720                    results.push(Ok(LanguageModelCompletionEvent::ToolUseJsonParseError {
721                        id: tool_call.id.into(),
722                        tool_name: tool_call.name.into(),
723                        raw_input: tool_call.arguments.into(),
724                        json_parse_error: error.to_string(),
725                    }))
726                }
727            }
728        }
729
730        results
731    }
732}
733
734#[derive(Default)]
735struct RawToolCall {
736    id: String,
737    name: String,
738    arguments: String,
739}
740
741struct ConfigurationView {
742    api_key_editor: Entity<InputField>,
743    state: Entity<State>,
744    load_credentials_task: Option<Task<()>>,
745}
746
747impl ConfigurationView {
748    fn new(state: Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
749        let api_key_editor =
750            cx.new(|cx| InputField::new(window, cx, "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"));
751
752        cx.observe(&state, |_, _, cx| {
753            cx.notify();
754        })
755        .detach();
756
757        let load_credentials_task = Some(cx.spawn_in(window, {
758            let state = state.clone();
759            async move |this, cx| {
760                if let Some(task) = Some(state.update(cx, |state, cx| state.authenticate(cx))) {
761                    // We don't log an error, because "not signed in" is also an error.
762                    let _ = task.await;
763                }
764
765                this.update(cx, |this, cx| {
766                    this.load_credentials_task = None;
767                    cx.notify();
768                })
769                .log_err();
770            }
771        }));
772
773        Self {
774            api_key_editor,
775            state,
776            load_credentials_task,
777        }
778    }
779
780    fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
781        let api_key = self.api_key_editor.read(cx).text(cx).trim().to_string();
782        if api_key.is_empty() {
783            return;
784        }
785
786        // url changes can cause the editor to be displayed again
787        self.api_key_editor
788            .update(cx, |editor, cx| editor.set_text("", window, cx));
789
790        let state = self.state.clone();
791        cx.spawn_in(window, async move |_, cx| {
792            state
793                .update(cx, |state, cx| state.set_api_key(Some(api_key), cx))
794                .await
795        })
796        .detach_and_log_err(cx);
797    }
798
799    fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
800        self.api_key_editor
801            .update(cx, |editor, cx| editor.set_text("", window, cx));
802
803        let state = self.state.clone();
804        cx.spawn_in(window, async move |_, cx| {
805            state
806                .update(cx, |state, cx| state.set_api_key(None, cx))
807                .await
808        })
809        .detach_and_log_err(cx);
810    }
811
812    fn should_render_api_key_editor(&self, cx: &mut Context<Self>) -> bool {
813        !self.state.read(cx).is_authenticated()
814    }
815}
816
817impl Render for ConfigurationView {
818    fn render(&mut self, _window: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
819        let env_var_set = self.state.read(cx).api_key_state.is_from_env_var();
820        let configured_card_label = if env_var_set {
821            format!("API key set in {API_KEY_ENV_VAR_NAME} environment variable")
822        } else {
823            let api_url = MistralLanguageModelProvider::api_url(cx);
824            if api_url == MISTRAL_API_URL {
825                "API key configured".to_string()
826            } else {
827                format!("API key configured for {}", api_url)
828            }
829        };
830
831        if self.load_credentials_task.is_some() {
832            div().child(Label::new("Loading credentials...")).into_any()
833        } else if self.should_render_api_key_editor(cx) {
834            v_flex()
835                .size_full()
836                .on_action(cx.listener(Self::save_api_key))
837                .child(Label::new("To use Zed's agent with Mistral, you need to add an API key. Follow these steps:"))
838                .child(
839                    List::new()
840                        .child(
841                            ListBulletItem::new("")
842                                .child(Label::new("Create one by visiting"))
843                                .child(ButtonLink::new("Mistral's console", "https://console.mistral.ai/api-keys"))
844                        )
845                        .child(
846                            ListBulletItem::new("Ensure your Mistral account has credits")
847                        )
848                        .child(
849                            ListBulletItem::new("Paste your API key below and hit enter to start using the assistant")
850                        ),
851                )
852                .child(self.api_key_editor.clone())
853                .child(
854                    Label::new(
855                        format!("You can also set the {API_KEY_ENV_VAR_NAME} environment variable and restart Zed."),
856                    )
857                    .size(LabelSize::Small).color(Color::Muted),
858                )
859                .into_any()
860        } else {
861            v_flex()
862                .size_full()
863                .gap_1()
864                .child(
865                    ConfiguredApiCard::new(configured_card_label)
866                        .disabled(env_var_set)
867                        .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx)))
868                        .when(env_var_set, |this| {
869                            this.tooltip_label(format!(
870                                "To reset your API key, \
871                                unset the {API_KEY_ENV_VAR_NAME} environment variable."
872                            ))
873                        }),
874                )
875                .into_any()
876        }
877    }
878}
879
880#[cfg(test)]
881mod tests {
882    use super::*;
883    use language_model::{LanguageModelImage, LanguageModelRequestMessage, MessageContent};
884
885    #[test]
886    fn test_into_mistral_basic_conversion() {
887        let request = LanguageModelRequest {
888            messages: vec![
889                LanguageModelRequestMessage {
890                    role: Role::System,
891                    content: vec![MessageContent::Text("System prompt".into())],
892                    cache: false,
893                    reasoning_details: None,
894                },
895                LanguageModelRequestMessage {
896                    role: Role::User,
897                    content: vec![MessageContent::Text("Hello".into())],
898                    cache: false,
899                    reasoning_details: None,
900                },
901                // should skip empty assistant messages
902                LanguageModelRequestMessage {
903                    role: Role::Assistant,
904                    content: vec![MessageContent::Text("".into())],
905                    cache: false,
906                    reasoning_details: None,
907                },
908            ],
909            temperature: Some(0.5),
910            tools: vec![],
911            tool_choice: None,
912            thread_id: Some("abcdef".into()),
913            prompt_id: None,
914            intent: None,
915            stop: vec![],
916            thinking_allowed: true,
917            thinking_effort: None,
918            speed: Default::default(),
919        };
920
921        let (mistral_request, affinity) =
922            into_mistral(request, mistral::Model::MistralSmallLatest, None);
923
924        assert_eq!(mistral_request.model, "mistral-small-latest");
925        assert_eq!(mistral_request.temperature, Some(0.5));
926        assert_eq!(mistral_request.messages.len(), 2);
927        assert!(mistral_request.stream);
928        assert_eq!(affinity, Some("abcdef".into()));
929    }
930
931    #[test]
932    fn test_into_mistral_with_image() {
933        let request = LanguageModelRequest {
934            messages: vec![LanguageModelRequestMessage {
935                role: Role::User,
936                content: vec![
937                    MessageContent::Text("What's in this image?".into()),
938                    MessageContent::Image(LanguageModelImage {
939                        source: "base64data".into(),
940                        size: None,
941                    }),
942                ],
943                cache: false,
944                reasoning_details: None,
945            }],
946            tools: vec![],
947            tool_choice: None,
948            temperature: None,
949            thread_id: None,
950            prompt_id: None,
951            intent: None,
952            stop: vec![],
953            thinking_allowed: true,
954            thinking_effort: None,
955            speed: None,
956        };
957
958        let (mistral_request, _) = into_mistral(request, mistral::Model::Pixtral12BLatest, None);
959
960        assert_eq!(mistral_request.messages.len(), 1);
961        assert!(matches!(
962            &mistral_request.messages[0],
963            mistral::RequestMessage::User {
964                content: mistral::MessageContent::Multipart { .. }
965            }
966        ));
967
968        if let mistral::RequestMessage::User {
969            content: mistral::MessageContent::Multipart { content },
970        } = &mistral_request.messages[0]
971        {
972            assert_eq!(content.len(), 2);
973            assert!(matches!(
974                &content[0],
975                mistral::MessagePart::Text { text } if text == "What's in this image?"
976            ));
977            assert!(matches!(
978                &content[1],
979                mistral::MessagePart::ImageUrl { image_url } if image_url.starts_with("data:image/png;base64,")
980            ));
981        }
982    }
983}