1use anyhow::{Result, anyhow};
2use fs::Fs;
3use futures::{FutureExt, StreamExt, future::BoxFuture, stream::BoxStream};
4use futures::{Stream, TryFutureExt, stream};
5use gpui::{AnyView, App, AsyncApp, Context, Task};
6use http_client::HttpClient;
7use language_model::{
8 AuthenticateError, LanguageModel, LanguageModelCompletionError, LanguageModelCompletionEvent,
9 LanguageModelId, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,
10 LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest,
11 LanguageModelRequestTool, LanguageModelToolChoice, LanguageModelToolUse,
12 LanguageModelToolUseId, MessageContent, RateLimiter, Role, StopReason, TokenUsage,
13};
14use menu;
15use ollama::{
16 ChatMessage, ChatOptions, ChatRequest, ChatResponseDelta, OLLAMA_API_URL, OllamaFunctionCall,
17 OllamaFunctionTool, OllamaToolCall, get_models, show_model, stream_chat_completion,
18};
19pub use settings::OllamaAvailableModel as AvailableModel;
20use settings::{Settings, SettingsStore, update_settings_file};
21use std::pin::Pin;
22use std::sync::LazyLock;
23use std::sync::atomic::{AtomicU64, Ordering};
24use std::{collections::HashMap, sync::Arc};
25use ui::{ButtonLike, ElevationIndex, List, Tooltip, prelude::*};
26use ui_input::SingleLineInput;
27use zed_env_vars::{EnvVar, env_var};
28
29use crate::AllLanguageModelSettings;
30use crate::api_key::ApiKeyState;
31use crate::ui::InstructionListItem;
32
33const OLLAMA_DOWNLOAD_URL: &str = "https://ollama.com/download";
34const OLLAMA_LIBRARY_URL: &str = "https://ollama.com/library";
35const OLLAMA_SITE: &str = "https://ollama.com/";
36
37const PROVIDER_ID: LanguageModelProviderId = LanguageModelProviderId::new("ollama");
38const PROVIDER_NAME: LanguageModelProviderName = LanguageModelProviderName::new("Ollama");
39
40const API_KEY_ENV_VAR_NAME: &str = "OLLAMA_API_KEY";
41static API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(API_KEY_ENV_VAR_NAME);
42
43#[derive(Default, Debug, Clone, PartialEq)]
44pub struct OllamaSettings {
45 pub api_url: String,
46 pub available_models: Vec<AvailableModel>,
47}
48
49pub struct OllamaLanguageModelProvider {
50 http_client: Arc<dyn HttpClient>,
51 state: gpui::Entity<State>,
52}
53
54pub struct State {
55 api_key_state: ApiKeyState,
56 http_client: Arc<dyn HttpClient>,
57 fetched_models: Vec<ollama::Model>,
58 fetch_model_task: Option<Task<Result<()>>>,
59}
60
61impl State {
62 fn is_authenticated(&self) -> bool {
63 !self.fetched_models.is_empty()
64 }
65
66 fn set_api_key(&mut self, api_key: Option<String>, cx: &mut Context<Self>) -> Task<Result<()>> {
67 let api_url = OllamaLanguageModelProvider::api_url(cx);
68 let task = self
69 .api_key_state
70 .store(api_url, api_key, |this| &mut this.api_key_state, cx);
71
72 self.fetched_models.clear();
73 cx.spawn(async move |this, cx| {
74 let result = task.await;
75 this.update(cx, |this, cx| this.restart_fetch_models_task(cx))
76 .ok();
77 result
78 })
79 }
80
81 fn authenticate(&mut self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
82 let api_url = OllamaLanguageModelProvider::api_url(cx);
83 let task = self.api_key_state.load_if_needed(
84 api_url,
85 &API_KEY_ENV_VAR,
86 |this| &mut this.api_key_state,
87 cx,
88 );
89
90 // Always try to fetch models - if no API key is needed (local Ollama), it will work
91 // If API key is needed and provided, it will work
92 // If API key is needed and not provided, it will fail gracefully
93 cx.spawn(async move |this, cx| {
94 let result = task.await;
95 this.update(cx, |this, cx| this.restart_fetch_models_task(cx))
96 .ok();
97 result
98 })
99 }
100
101 fn fetch_models(&mut self, cx: &mut Context<Self>) -> Task<Result<()>> {
102 let http_client = Arc::clone(&self.http_client);
103 let api_url = OllamaLanguageModelProvider::api_url(cx);
104 let api_key = self.api_key_state.key(&api_url);
105
106 // As a proxy for the server being "authenticated", we'll check if its up by fetching the models
107 cx.spawn(async move |this, cx| {
108 let models =
109 get_models(http_client.as_ref(), &api_url, api_key.as_deref(), None).await?;
110
111 let tasks = models
112 .into_iter()
113 // Since there is no metadata from the Ollama API
114 // indicating which models are embedding models,
115 // simply filter out models with "-embed" in their name
116 .filter(|model| !model.name.contains("-embed"))
117 .map(|model| {
118 let http_client = Arc::clone(&http_client);
119 let api_url = api_url.clone();
120 let api_key = api_key.clone();
121 async move {
122 let name = model.name.as_str();
123 let capabilities =
124 show_model(http_client.as_ref(), &api_url, api_key.as_deref(), name)
125 .await?;
126 let ollama_model = ollama::Model::new(
127 name,
128 None,
129 None,
130 Some(capabilities.supports_tools()),
131 Some(capabilities.supports_vision()),
132 Some(capabilities.supports_thinking()),
133 );
134 Ok(ollama_model)
135 }
136 });
137
138 // Rate-limit capability fetches
139 // since there is an arbitrary number of models available
140 let mut ollama_models: Vec<_> = futures::stream::iter(tasks)
141 .buffer_unordered(5)
142 .collect::<Vec<Result<_>>>()
143 .await
144 .into_iter()
145 .collect::<Result<Vec<_>>>()?;
146
147 ollama_models.sort_by(|a, b| a.name.cmp(&b.name));
148
149 this.update(cx, |this, cx| {
150 this.fetched_models = ollama_models;
151 cx.notify();
152 })
153 })
154 }
155
156 fn restart_fetch_models_task(&mut self, cx: &mut Context<Self>) {
157 let task = self.fetch_models(cx);
158 self.fetch_model_task.replace(task);
159 }
160}
161
162impl OllamaLanguageModelProvider {
163 pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
164 let this = Self {
165 http_client: http_client.clone(),
166 state: cx.new(|cx| {
167 cx.observe_global::<SettingsStore>({
168 let mut last_settings = OllamaLanguageModelProvider::settings(cx).clone();
169 move |this: &mut State, cx| {
170 let current_settings = OllamaLanguageModelProvider::settings(cx);
171 let settings_changed = current_settings != &last_settings;
172 if settings_changed {
173 let url_changed = last_settings.api_url != current_settings.api_url;
174 last_settings = current_settings.clone();
175 if url_changed {
176 this.fetched_models.clear();
177 this.authenticate(cx).detach();
178 }
179 cx.notify();
180 }
181 }
182 })
183 .detach();
184
185 State {
186 http_client,
187 fetched_models: Default::default(),
188 fetch_model_task: None,
189 api_key_state: ApiKeyState::new(Self::api_url(cx)),
190 }
191 }),
192 };
193 this
194 }
195
196 fn settings(cx: &App) -> &OllamaSettings {
197 &AllLanguageModelSettings::get_global(cx).ollama
198 }
199
200 fn api_url(cx: &App) -> SharedString {
201 let api_url = &Self::settings(cx).api_url;
202 if api_url.is_empty() {
203 OLLAMA_API_URL.into()
204 } else {
205 SharedString::new(api_url.as_str())
206 }
207 }
208}
209
210impl LanguageModelProviderState for OllamaLanguageModelProvider {
211 type ObservableEntity = State;
212
213 fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
214 Some(self.state.clone())
215 }
216}
217
218impl LanguageModelProvider for OllamaLanguageModelProvider {
219 fn id(&self) -> LanguageModelProviderId {
220 PROVIDER_ID
221 }
222
223 fn name(&self) -> LanguageModelProviderName {
224 PROVIDER_NAME
225 }
226
227 fn icon(&self) -> IconName {
228 IconName::AiOllama
229 }
230
231 fn default_model(&self, _: &App) -> Option<Arc<dyn LanguageModel>> {
232 // We shouldn't try to select default model, because it might lead to a load call for an unloaded model.
233 // In a constrained environment where user might not have enough resources it'll be a bad UX to select something
234 // to load by default.
235 None
236 }
237
238 fn default_fast_model(&self, _: &App) -> Option<Arc<dyn LanguageModel>> {
239 // See explanation for default_model.
240 None
241 }
242
243 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
244 let mut models: HashMap<String, ollama::Model> = HashMap::new();
245
246 // Add models from the Ollama API
247 for model in self.state.read(cx).fetched_models.iter() {
248 models.insert(model.name.clone(), model.clone());
249 }
250
251 // Override with available models from settings
252 for model in &OllamaLanguageModelProvider::settings(cx).available_models {
253 models.insert(
254 model.name.clone(),
255 ollama::Model {
256 name: model.name.clone(),
257 display_name: model.display_name.clone(),
258 max_tokens: model.max_tokens,
259 keep_alive: model.keep_alive.clone(),
260 supports_tools: model.supports_tools,
261 supports_vision: model.supports_images,
262 supports_thinking: model.supports_thinking,
263 },
264 );
265 }
266
267 let mut models = models
268 .into_values()
269 .map(|model| {
270 Arc::new(OllamaLanguageModel {
271 id: LanguageModelId::from(model.name.clone()),
272 model,
273 http_client: self.http_client.clone(),
274 request_limiter: RateLimiter::new(4),
275 state: self.state.clone(),
276 }) as Arc<dyn LanguageModel>
277 })
278 .collect::<Vec<_>>();
279 models.sort_by_key(|model| model.name());
280 models
281 }
282
283 fn is_authenticated(&self, cx: &App) -> bool {
284 self.state.read(cx).is_authenticated()
285 }
286
287 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
288 self.state.update(cx, |state, cx| state.authenticate(cx))
289 }
290
291 fn configuration_view(
292 &self,
293 _target_agent: language_model::ConfigurationViewTargetAgent,
294 window: &mut Window,
295 cx: &mut App,
296 ) -> AnyView {
297 let state = self.state.clone();
298 cx.new(|cx| ConfigurationView::new(state, window, cx))
299 .into()
300 }
301
302 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
303 self.state
304 .update(cx, |state, cx| state.set_api_key(None, cx))
305 }
306}
307
308pub struct OllamaLanguageModel {
309 id: LanguageModelId,
310 model: ollama::Model,
311 http_client: Arc<dyn HttpClient>,
312 request_limiter: RateLimiter,
313 state: gpui::Entity<State>,
314}
315
316impl OllamaLanguageModel {
317 fn to_ollama_request(&self, request: LanguageModelRequest) -> ChatRequest {
318 let supports_vision = self.model.supports_vision.unwrap_or(false);
319
320 let mut messages = Vec::with_capacity(request.messages.len());
321
322 for mut msg in request.messages.into_iter() {
323 let images = if supports_vision {
324 msg.content
325 .iter()
326 .filter_map(|content| match content {
327 MessageContent::Image(image) => Some(image.source.to_string()),
328 _ => None,
329 })
330 .collect::<Vec<String>>()
331 } else {
332 vec![]
333 };
334
335 match msg.role {
336 Role::User => {
337 for tool_result in msg
338 .content
339 .extract_if(.., |x| matches!(x, MessageContent::ToolResult(..)))
340 {
341 match tool_result {
342 MessageContent::ToolResult(tool_result) => {
343 messages.push(ChatMessage::Tool {
344 tool_name: tool_result.tool_name.to_string(),
345 content: tool_result.content.to_str().unwrap_or("").to_string(),
346 })
347 }
348 _ => unreachable!("Only tool result should be extracted"),
349 }
350 }
351 if !msg.content.is_empty() {
352 messages.push(ChatMessage::User {
353 content: msg.string_contents(),
354 images: if images.is_empty() {
355 None
356 } else {
357 Some(images)
358 },
359 })
360 }
361 }
362 Role::Assistant => {
363 let content = msg.string_contents();
364 let mut thinking = None;
365 let mut tool_calls = Vec::new();
366 for content in msg.content.into_iter() {
367 match content {
368 MessageContent::Thinking { text, .. } if !text.is_empty() => {
369 thinking = Some(text)
370 }
371 MessageContent::ToolUse(tool_use) => {
372 tool_calls.push(OllamaToolCall::Function(OllamaFunctionCall {
373 name: tool_use.name.to_string(),
374 arguments: tool_use.input,
375 }));
376 }
377 _ => (),
378 }
379 }
380 messages.push(ChatMessage::Assistant {
381 content,
382 tool_calls: Some(tool_calls),
383 images: if images.is_empty() {
384 None
385 } else {
386 Some(images)
387 },
388 thinking,
389 })
390 }
391 Role::System => messages.push(ChatMessage::System {
392 content: msg.string_contents(),
393 }),
394 }
395 }
396 ChatRequest {
397 model: self.model.name.clone(),
398 messages,
399 keep_alive: self.model.keep_alive.clone().unwrap_or_default(),
400 stream: true,
401 options: Some(ChatOptions {
402 num_ctx: Some(self.model.max_tokens),
403 stop: Some(request.stop),
404 temperature: request.temperature.or(Some(1.0)),
405 ..Default::default()
406 }),
407 think: self
408 .model
409 .supports_thinking
410 .map(|supports_thinking| supports_thinking && request.thinking_allowed),
411 tools: if self.model.supports_tools.unwrap_or(false) {
412 request.tools.into_iter().map(tool_into_ollama).collect()
413 } else {
414 vec![]
415 },
416 }
417 }
418}
419
420impl LanguageModel for OllamaLanguageModel {
421 fn id(&self) -> LanguageModelId {
422 self.id.clone()
423 }
424
425 fn name(&self) -> LanguageModelName {
426 LanguageModelName::from(self.model.display_name().to_string())
427 }
428
429 fn provider_id(&self) -> LanguageModelProviderId {
430 PROVIDER_ID
431 }
432
433 fn provider_name(&self) -> LanguageModelProviderName {
434 PROVIDER_NAME
435 }
436
437 fn supports_tools(&self) -> bool {
438 self.model.supports_tools.unwrap_or(false)
439 }
440
441 fn supports_images(&self) -> bool {
442 self.model.supports_vision.unwrap_or(false)
443 }
444
445 fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {
446 match choice {
447 LanguageModelToolChoice::Auto => false,
448 LanguageModelToolChoice::Any => false,
449 LanguageModelToolChoice::None => false,
450 }
451 }
452
453 fn telemetry_id(&self) -> String {
454 format!("ollama/{}", self.model.id())
455 }
456
457 fn max_token_count(&self) -> u64 {
458 self.model.max_token_count()
459 }
460
461 fn count_tokens(
462 &self,
463 request: LanguageModelRequest,
464 _cx: &App,
465 ) -> BoxFuture<'static, Result<u64>> {
466 // There is no endpoint for this _yet_ in Ollama
467 // see: https://github.com/ollama/ollama/issues/1716 and https://github.com/ollama/ollama/issues/3582
468 let token_count = request
469 .messages
470 .iter()
471 .map(|msg| msg.string_contents().chars().count())
472 .sum::<usize>()
473 / 4;
474
475 async move { Ok(token_count as u64) }.boxed()
476 }
477
478 fn stream_completion(
479 &self,
480 request: LanguageModelRequest,
481 cx: &AsyncApp,
482 ) -> BoxFuture<
483 'static,
484 Result<
485 BoxStream<'static, Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>,
486 LanguageModelCompletionError,
487 >,
488 > {
489 let request = self.to_ollama_request(request);
490
491 let http_client = self.http_client.clone();
492 let Ok((api_key, api_url)) = self.state.read_with(cx, |state, cx| {
493 let api_url = OllamaLanguageModelProvider::api_url(cx);
494 (state.api_key_state.key(&api_url), api_url)
495 }) else {
496 return futures::future::ready(Err(anyhow!("App state dropped").into())).boxed();
497 };
498
499 let future = self.request_limiter.stream(async move {
500 let stream =
501 stream_chat_completion(http_client.as_ref(), &api_url, api_key.as_deref(), request)
502 .await?;
503 let stream = map_to_language_model_completion_events(stream);
504 Ok(stream)
505 });
506
507 future.map_ok(|f| f.boxed()).boxed()
508 }
509}
510
511fn map_to_language_model_completion_events(
512 stream: Pin<Box<dyn Stream<Item = anyhow::Result<ChatResponseDelta>> + Send>>,
513) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
514 // Used for creating unique tool use ids
515 static TOOL_CALL_COUNTER: AtomicU64 = AtomicU64::new(0);
516
517 struct State {
518 stream: Pin<Box<dyn Stream<Item = anyhow::Result<ChatResponseDelta>> + Send>>,
519 used_tools: bool,
520 }
521
522 // We need to create a ToolUse and Stop event from a single
523 // response from the original stream
524 let stream = stream::unfold(
525 State {
526 stream,
527 used_tools: false,
528 },
529 async move |mut state| {
530 let response = state.stream.next().await?;
531
532 let delta = match response {
533 Ok(delta) => delta,
534 Err(e) => {
535 let event = Err(LanguageModelCompletionError::from(anyhow!(e)));
536 return Some((vec![event], state));
537 }
538 };
539
540 let mut events = Vec::new();
541
542 match delta.message {
543 ChatMessage::User { content, images: _ } => {
544 events.push(Ok(LanguageModelCompletionEvent::Text(content)));
545 }
546 ChatMessage::System { content } => {
547 events.push(Ok(LanguageModelCompletionEvent::Text(content)));
548 }
549 ChatMessage::Tool { content, .. } => {
550 events.push(Ok(LanguageModelCompletionEvent::Text(content)));
551 }
552 ChatMessage::Assistant {
553 content,
554 tool_calls,
555 images: _,
556 thinking,
557 } => {
558 if let Some(text) = thinking {
559 events.push(Ok(LanguageModelCompletionEvent::Thinking {
560 text,
561 signature: None,
562 }));
563 }
564
565 if let Some(tool_call) = tool_calls.and_then(|v| v.into_iter().next()) {
566 match tool_call {
567 OllamaToolCall::Function(function) => {
568 let tool_id = format!(
569 "{}-{}",
570 &function.name,
571 TOOL_CALL_COUNTER.fetch_add(1, Ordering::Relaxed)
572 );
573 let event =
574 LanguageModelCompletionEvent::ToolUse(LanguageModelToolUse {
575 id: LanguageModelToolUseId::from(tool_id),
576 name: Arc::from(function.name),
577 raw_input: function.arguments.to_string(),
578 input: function.arguments,
579 is_input_complete: true,
580 });
581 events.push(Ok(event));
582 state.used_tools = true;
583 }
584 }
585 } else if !content.is_empty() {
586 events.push(Ok(LanguageModelCompletionEvent::Text(content)));
587 }
588 }
589 };
590
591 if delta.done {
592 events.push(Ok(LanguageModelCompletionEvent::UsageUpdate(TokenUsage {
593 input_tokens: delta.prompt_eval_count.unwrap_or(0),
594 output_tokens: delta.eval_count.unwrap_or(0),
595 cache_creation_input_tokens: 0,
596 cache_read_input_tokens: 0,
597 })));
598 if state.used_tools {
599 state.used_tools = false;
600 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::ToolUse)));
601 } else {
602 events.push(Ok(LanguageModelCompletionEvent::Stop(StopReason::EndTurn)));
603 }
604 }
605
606 Some((events, state))
607 },
608 );
609
610 stream.flat_map(futures::stream::iter)
611}
612
613struct ConfigurationView {
614 api_key_editor: gpui::Entity<SingleLineInput>,
615 api_url_editor: gpui::Entity<SingleLineInput>,
616 state: gpui::Entity<State>,
617}
618
619impl ConfigurationView {
620 pub fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
621 let api_key_editor =
622 cx.new(|cx| SingleLineInput::new(window, cx, "63e02e...").label("API key"));
623
624 let api_url_editor = cx.new(|cx| {
625 let input = SingleLineInput::new(window, cx, OLLAMA_API_URL).label("API URL");
626 input.set_text(OllamaLanguageModelProvider::api_url(cx), window, cx);
627 input
628 });
629
630 cx.observe(&state, |_, _, cx| {
631 cx.notify();
632 })
633 .detach();
634
635 Self {
636 api_key_editor,
637 api_url_editor,
638 state,
639 }
640 }
641
642 fn retry_connection(&self, cx: &mut App) {
643 self.state
644 .update(cx, |state, cx| state.restart_fetch_models_task(cx));
645 }
646
647 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
648 let api_key = self.api_key_editor.read(cx).text(cx).trim().to_string();
649 if api_key.is_empty() {
650 return;
651 }
652
653 // url changes can cause the editor to be displayed again
654 self.api_key_editor
655 .update(cx, |input, cx| input.set_text("", window, cx));
656
657 let state = self.state.clone();
658 cx.spawn_in(window, async move |_, cx| {
659 state
660 .update(cx, |state, cx| state.set_api_key(Some(api_key), cx))?
661 .await
662 })
663 .detach_and_log_err(cx);
664 }
665
666 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
667 self.api_key_editor
668 .update(cx, |input, cx| input.set_text("", window, cx));
669
670 let state = self.state.clone();
671 cx.spawn_in(window, async move |_, cx| {
672 state
673 .update(cx, |state, cx| state.set_api_key(None, cx))?
674 .await
675 })
676 .detach_and_log_err(cx);
677
678 cx.notify();
679 }
680
681 fn save_api_url(&mut self, cx: &mut Context<Self>) {
682 let api_url = self.api_url_editor.read(cx).text(cx).trim().to_string();
683 let current_url = OllamaLanguageModelProvider::api_url(cx);
684 if !api_url.is_empty() && &api_url != ¤t_url {
685 let fs = <dyn Fs>::global(cx);
686 update_settings_file(fs, cx, move |settings, _| {
687 settings
688 .language_models
689 .get_or_insert_default()
690 .ollama
691 .get_or_insert_default()
692 .api_url = Some(api_url);
693 });
694 }
695 }
696
697 fn reset_api_url(&mut self, window: &mut Window, cx: &mut Context<Self>) {
698 self.api_url_editor
699 .update(cx, |input, cx| input.set_text("", window, cx));
700 let fs = <dyn Fs>::global(cx);
701 update_settings_file(fs, cx, |settings, _cx| {
702 if let Some(settings) = settings
703 .language_models
704 .as_mut()
705 .and_then(|models| models.ollama.as_mut())
706 {
707 settings.api_url = Some(OLLAMA_API_URL.into());
708 }
709 });
710 cx.notify();
711 }
712
713 fn render_instructions() -> Div {
714 v_flex()
715 .gap_2()
716 .child(Label::new(
717 "Run LLMs locally on your machine with Ollama, or connect to an Ollama server. \
718 Can provide access to Llama, Mistral, Gemma, and hundreds of other models.",
719 ))
720 .child(Label::new("To use local Ollama:"))
721 .child(
722 List::new()
723 .child(InstructionListItem::new(
724 "Download and install Ollama from",
725 Some("ollama.com"),
726 Some("https://ollama.com/download"),
727 ))
728 .child(InstructionListItem::text_only(
729 "Start Ollama and download a model: `ollama run gpt-oss:20b`",
730 ))
731 .child(InstructionListItem::text_only(
732 "Click 'Connect' below to start using Ollama in Zed",
733 )),
734 )
735 .child(Label::new(
736 "Alternatively, you can connect to an Ollama server by specifying its \
737 URL and API key (may not be required):",
738 ))
739 }
740
741 fn render_api_key_editor(&self, cx: &Context<Self>) -> Div {
742 let state = self.state.read(cx);
743 let env_var_set = state.api_key_state.is_from_env_var();
744
745 if !state.api_key_state.has_key() {
746 v_flex()
747 .on_action(cx.listener(Self::save_api_key))
748 .child(self.api_key_editor.clone())
749 .child(
750 Label::new(
751 format!("You can also assign the {API_KEY_ENV_VAR_NAME} environment variable and restart Zed.")
752 )
753 .size(LabelSize::Small)
754 .color(Color::Muted),
755 )
756 } else {
757 h_flex()
758 .p_3()
759 .justify_between()
760 .rounded_md()
761 .border_1()
762 .border_color(cx.theme().colors().border)
763 .bg(cx.theme().colors().elevated_surface_background)
764 .child(
765 h_flex()
766 .gap_2()
767 .child(Icon::new(IconName::Check).color(Color::Success))
768 .child(
769 Label::new(
770 if env_var_set {
771 format!("API key set in {API_KEY_ENV_VAR_NAME} environment variable.")
772 } else {
773 "API key configured".to_string()
774 }
775 )
776 )
777 )
778 .child(
779 Button::new("reset-api-key", "Reset API Key")
780 .label_size(LabelSize::Small)
781 .icon(IconName::Undo)
782 .icon_size(IconSize::Small)
783 .icon_position(IconPosition::Start)
784 .layer(ElevationIndex::ModalSurface)
785 .when(env_var_set, |this| {
786 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {API_KEY_ENV_VAR_NAME} environment variable.")))
787 })
788 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
789 )
790 }
791 }
792
793 fn render_api_url_editor(&self, cx: &Context<Self>) -> Div {
794 let api_url = OllamaLanguageModelProvider::api_url(cx);
795 let custom_api_url_set = api_url != OLLAMA_API_URL;
796
797 if custom_api_url_set {
798 h_flex()
799 .p_3()
800 .justify_between()
801 .rounded_md()
802 .border_1()
803 .border_color(cx.theme().colors().border)
804 .bg(cx.theme().colors().elevated_surface_background)
805 .child(
806 h_flex()
807 .gap_2()
808 .child(Icon::new(IconName::Check).color(Color::Success))
809 .child(v_flex().gap_1().child(Label::new(api_url))),
810 )
811 .child(
812 Button::new("reset-api-url", "Reset API URL")
813 .label_size(LabelSize::Small)
814 .icon(IconName::Undo)
815 .icon_size(IconSize::Small)
816 .icon_position(IconPosition::Start)
817 .layer(ElevationIndex::ModalSurface)
818 .on_click(
819 cx.listener(|this, _, window, cx| this.reset_api_url(window, cx)),
820 ),
821 )
822 } else {
823 v_flex()
824 .on_action(cx.listener(|this, _: &menu::Confirm, _window, cx| {
825 this.save_api_url(cx);
826 cx.notify();
827 }))
828 .gap_2()
829 .child(self.api_url_editor.clone())
830 }
831 }
832}
833
834impl Render for ConfigurationView {
835 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
836 let is_authenticated = self.state.read(cx).is_authenticated();
837
838 v_flex()
839 .gap_2()
840 .child(Self::render_instructions())
841 .child(self.render_api_url_editor(cx))
842 .child(self.render_api_key_editor(cx))
843 .child(
844 h_flex()
845 .w_full()
846 .justify_between()
847 .gap_2()
848 .child(
849 h_flex()
850 .w_full()
851 .gap_2()
852 .map(|this| {
853 if is_authenticated {
854 this.child(
855 Button::new("ollama-site", "Ollama")
856 .style(ButtonStyle::Subtle)
857 .icon(IconName::ArrowUpRight)
858 .icon_size(IconSize::XSmall)
859 .icon_color(Color::Muted)
860 .on_click(move |_, _, cx| cx.open_url(OLLAMA_SITE))
861 .into_any_element(),
862 )
863 } else {
864 this.child(
865 Button::new("download_ollama_button", "Download Ollama")
866 .style(ButtonStyle::Subtle)
867 .icon(IconName::ArrowUpRight)
868 .icon_size(IconSize::XSmall)
869 .icon_color(Color::Muted)
870 .on_click(move |_, _, cx| {
871 cx.open_url(OLLAMA_DOWNLOAD_URL)
872 })
873 .into_any_element(),
874 )
875 }
876 })
877 .child(
878 Button::new("view-models", "View All Models")
879 .style(ButtonStyle::Subtle)
880 .icon(IconName::ArrowUpRight)
881 .icon_size(IconSize::XSmall)
882 .icon_color(Color::Muted)
883 .on_click(move |_, _, cx| cx.open_url(OLLAMA_LIBRARY_URL)),
884 ),
885 )
886 .map(|this| {
887 if is_authenticated {
888 this.child(
889 ButtonLike::new("connected")
890 .disabled(true)
891 .cursor_style(gpui::CursorStyle::Arrow)
892 .child(
893 h_flex()
894 .gap_2()
895 .child(Icon::new(IconName::Check).color(Color::Success))
896 .child(Label::new("Connected"))
897 .into_any_element(),
898 ),
899 )
900 } else {
901 this.child(
902 Button::new("retry_ollama_models", "Connect")
903 .icon_position(IconPosition::Start)
904 .icon_size(IconSize::XSmall)
905 .icon(IconName::PlayOutlined)
906 .on_click(
907 cx.listener(move |this, _, _, cx| {
908 this.retry_connection(cx)
909 }),
910 ),
911 )
912 }
913 }),
914 )
915 }
916}
917
918fn tool_into_ollama(tool: LanguageModelRequestTool) -> ollama::OllamaTool {
919 ollama::OllamaTool::Function {
920 function: OllamaFunctionTool {
921 name: tool.name,
922 description: Some(tool.description),
923 parameters: Some(tool.input_schema),
924 },
925 }
926}