1use crate::AllLanguageModelSettings;
2use crate::ui::InstructionListItem;
3use anthropic::{AnthropicError, AnthropicModelMode, ContentDelta, Event, ResponseContent, Usage};
4use anyhow::{Context as _, Result, anyhow};
5use collections::{BTreeMap, HashMap};
6use credentials_provider::CredentialsProvider;
7use editor::{Editor, EditorElement, EditorStyle};
8use futures::Stream;
9use futures::{FutureExt, StreamExt, future::BoxFuture, stream::BoxStream};
10use gpui::{
11 AnyView, App, AsyncApp, Context, Entity, FontStyle, Subscription, Task, TextStyle, WhiteSpace,
12};
13use http_client::HttpClient;
14use language_model::{
15 AuthenticateError, LanguageModel, LanguageModelCacheConfiguration, LanguageModelId,
16 LanguageModelKnownError, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,
17 LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest, MessageContent,
18 RateLimiter, Role,
19};
20use language_model::{LanguageModelCompletionEvent, LanguageModelToolUse, StopReason};
21use schemars::JsonSchema;
22use serde::{Deserialize, Serialize};
23use settings::{Settings, SettingsStore};
24use std::pin::Pin;
25use std::str::FromStr;
26use std::sync::Arc;
27use strum::IntoEnumIterator;
28use theme::ThemeSettings;
29use ui::{Icon, IconName, List, Tooltip, prelude::*};
30use util::{ResultExt, maybe};
31
32const PROVIDER_ID: &str = language_model::ANTHROPIC_PROVIDER_ID;
33const PROVIDER_NAME: &str = "Anthropic";
34
35#[derive(Default, Clone, Debug, PartialEq)]
36pub struct AnthropicSettings {
37 pub api_url: String,
38 /// Extend Zed's list of Anthropic models.
39 pub available_models: Vec<AvailableModel>,
40 pub needs_setting_migration: bool,
41}
42
43#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
44pub struct AvailableModel {
45 /// The model's name in the Anthropic API. e.g. claude-3-5-sonnet-latest, claude-3-opus-20240229, etc
46 pub name: String,
47 /// The model's name in Zed's UI, such as in the model selector dropdown menu in the assistant panel.
48 pub display_name: Option<String>,
49 /// The model's context window size.
50 pub max_tokens: usize,
51 /// A model `name` to substitute when calling tools, in case the primary model doesn't support tool calling.
52 pub tool_override: Option<String>,
53 /// Configuration of Anthropic's caching API.
54 pub cache_configuration: Option<LanguageModelCacheConfiguration>,
55 pub max_output_tokens: Option<u32>,
56 pub default_temperature: Option<f32>,
57 #[serde(default)]
58 pub extra_beta_headers: Vec<String>,
59 /// The model's mode (e.g. thinking)
60 pub mode: Option<ModelMode>,
61}
62
63#[derive(Clone, Debug, Default, PartialEq, Serialize, Deserialize, JsonSchema)]
64#[serde(tag = "type", rename_all = "lowercase")]
65pub enum ModelMode {
66 #[default]
67 Default,
68 Thinking {
69 /// The maximum number of tokens to use for reasoning. Must be lower than the model's `max_output_tokens`.
70 budget_tokens: Option<u32>,
71 },
72}
73
74impl From<ModelMode> for AnthropicModelMode {
75 fn from(value: ModelMode) -> Self {
76 match value {
77 ModelMode::Default => AnthropicModelMode::Default,
78 ModelMode::Thinking { budget_tokens } => AnthropicModelMode::Thinking { budget_tokens },
79 }
80 }
81}
82
83impl From<AnthropicModelMode> for ModelMode {
84 fn from(value: AnthropicModelMode) -> Self {
85 match value {
86 AnthropicModelMode::Default => ModelMode::Default,
87 AnthropicModelMode::Thinking { budget_tokens } => ModelMode::Thinking { budget_tokens },
88 }
89 }
90}
91
92pub struct AnthropicLanguageModelProvider {
93 http_client: Arc<dyn HttpClient>,
94 state: gpui::Entity<State>,
95}
96
97const ANTHROPIC_API_KEY_VAR: &str = "ANTHROPIC_API_KEY";
98
99pub struct State {
100 api_key: Option<String>,
101 api_key_from_env: bool,
102 _subscription: Subscription,
103}
104
105impl State {
106 fn reset_api_key(&self, cx: &mut Context<Self>) -> Task<Result<()>> {
107 let credentials_provider = <dyn CredentialsProvider>::global(cx);
108 let api_url = AllLanguageModelSettings::get_global(cx)
109 .anthropic
110 .api_url
111 .clone();
112 cx.spawn(async move |this, cx| {
113 credentials_provider
114 .delete_credentials(&api_url, &cx)
115 .await
116 .ok();
117 this.update(cx, |this, cx| {
118 this.api_key = None;
119 this.api_key_from_env = false;
120 cx.notify();
121 })
122 })
123 }
124
125 fn set_api_key(&mut self, api_key: String, cx: &mut Context<Self>) -> Task<Result<()>> {
126 let credentials_provider = <dyn CredentialsProvider>::global(cx);
127 let api_url = AllLanguageModelSettings::get_global(cx)
128 .anthropic
129 .api_url
130 .clone();
131 cx.spawn(async move |this, cx| {
132 credentials_provider
133 .write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)
134 .await
135 .ok();
136
137 this.update(cx, |this, cx| {
138 this.api_key = Some(api_key);
139 cx.notify();
140 })
141 })
142 }
143
144 fn is_authenticated(&self) -> bool {
145 self.api_key.is_some()
146 }
147
148 fn authenticate(&self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
149 if self.is_authenticated() {
150 return Task::ready(Ok(()));
151 }
152
153 let credentials_provider = <dyn CredentialsProvider>::global(cx);
154 let api_url = AllLanguageModelSettings::get_global(cx)
155 .anthropic
156 .api_url
157 .clone();
158
159 cx.spawn(async move |this, cx| {
160 let (api_key, from_env) = if let Ok(api_key) = std::env::var(ANTHROPIC_API_KEY_VAR) {
161 (api_key, true)
162 } else {
163 let (_, api_key) = credentials_provider
164 .read_credentials(&api_url, &cx)
165 .await?
166 .ok_or(AuthenticateError::CredentialsNotFound)?;
167 (
168 String::from_utf8(api_key).context("invalid {PROVIDER_NAME} API key")?,
169 false,
170 )
171 };
172
173 this.update(cx, |this, cx| {
174 this.api_key = Some(api_key);
175 this.api_key_from_env = from_env;
176 cx.notify();
177 })?;
178
179 Ok(())
180 })
181 }
182}
183
184impl AnthropicLanguageModelProvider {
185 pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
186 let state = cx.new(|cx| State {
187 api_key: None,
188 api_key_from_env: false,
189 _subscription: cx.observe_global::<SettingsStore>(|_, cx| {
190 cx.notify();
191 }),
192 });
193
194 Self { http_client, state }
195 }
196
197 fn create_language_model(&self, model: anthropic::Model) -> Arc<dyn LanguageModel> {
198 Arc::new(AnthropicModel {
199 id: LanguageModelId::from(model.id().to_string()),
200 model,
201 state: self.state.clone(),
202 http_client: self.http_client.clone(),
203 request_limiter: RateLimiter::new(4),
204 }) as Arc<dyn LanguageModel>
205 }
206}
207
208impl LanguageModelProviderState for AnthropicLanguageModelProvider {
209 type ObservableEntity = State;
210
211 fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
212 Some(self.state.clone())
213 }
214}
215
216impl LanguageModelProvider for AnthropicLanguageModelProvider {
217 fn id(&self) -> LanguageModelProviderId {
218 LanguageModelProviderId(PROVIDER_ID.into())
219 }
220
221 fn name(&self) -> LanguageModelProviderName {
222 LanguageModelProviderName(PROVIDER_NAME.into())
223 }
224
225 fn icon(&self) -> IconName {
226 IconName::AiAnthropic
227 }
228
229 fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
230 let model = anthropic::Model::default();
231 Some(Arc::new(AnthropicModel {
232 id: LanguageModelId::from(model.id().to_string()),
233 model,
234 state: self.state.clone(),
235 http_client: self.http_client.clone(),
236 request_limiter: RateLimiter::new(4),
237 }))
238 }
239
240 fn recommended_models(&self, _cx: &App) -> Vec<Arc<dyn LanguageModel>> {
241 [
242 anthropic::Model::Claude3_7Sonnet,
243 anthropic::Model::Claude3_7SonnetThinking,
244 ]
245 .into_iter()
246 .map(|model| self.create_language_model(model))
247 .collect()
248 }
249
250 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
251 let mut models = BTreeMap::default();
252
253 // Add base models from anthropic::Model::iter()
254 for model in anthropic::Model::iter() {
255 if !matches!(model, anthropic::Model::Custom { .. }) {
256 models.insert(model.id().to_string(), model);
257 }
258 }
259
260 // Override with available models from settings
261 for model in AllLanguageModelSettings::get_global(cx)
262 .anthropic
263 .available_models
264 .iter()
265 {
266 models.insert(
267 model.name.clone(),
268 anthropic::Model::Custom {
269 name: model.name.clone(),
270 display_name: model.display_name.clone(),
271 max_tokens: model.max_tokens,
272 tool_override: model.tool_override.clone(),
273 cache_configuration: model.cache_configuration.as_ref().map(|config| {
274 anthropic::AnthropicModelCacheConfiguration {
275 max_cache_anchors: config.max_cache_anchors,
276 should_speculate: config.should_speculate,
277 min_total_token: config.min_total_token,
278 }
279 }),
280 max_output_tokens: model.max_output_tokens,
281 default_temperature: model.default_temperature,
282 extra_beta_headers: model.extra_beta_headers.clone(),
283 mode: model.mode.clone().unwrap_or_default().into(),
284 },
285 );
286 }
287
288 models
289 .into_values()
290 .map(|model| self.create_language_model(model))
291 .collect()
292 }
293
294 fn is_authenticated(&self, cx: &App) -> bool {
295 self.state.read(cx).is_authenticated()
296 }
297
298 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
299 self.state.update(cx, |state, cx| state.authenticate(cx))
300 }
301
302 fn configuration_view(&self, window: &mut Window, cx: &mut App) -> AnyView {
303 cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
304 .into()
305 }
306
307 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
308 self.state.update(cx, |state, cx| state.reset_api_key(cx))
309 }
310}
311
312pub struct AnthropicModel {
313 id: LanguageModelId,
314 model: anthropic::Model,
315 state: gpui::Entity<State>,
316 http_client: Arc<dyn HttpClient>,
317 request_limiter: RateLimiter,
318}
319
320pub fn count_anthropic_tokens(
321 request: LanguageModelRequest,
322 cx: &App,
323) -> BoxFuture<'static, Result<usize>> {
324 cx.background_spawn(async move {
325 let messages = request.messages;
326 let mut tokens_from_images = 0;
327 let mut string_messages = Vec::with_capacity(messages.len());
328
329 for message in messages {
330 use language_model::MessageContent;
331
332 let mut string_contents = String::new();
333
334 for content in message.content {
335 match content {
336 MessageContent::Text(text) => {
337 string_contents.push_str(&text);
338 }
339 MessageContent::Image(image) => {
340 tokens_from_images += image.estimate_tokens();
341 }
342 MessageContent::ToolUse(_tool_use) => {
343 // TODO: Estimate token usage from tool uses.
344 }
345 MessageContent::ToolResult(tool_result) => {
346 string_contents.push_str(&tool_result.content);
347 }
348 }
349 }
350
351 if !string_contents.is_empty() {
352 string_messages.push(tiktoken_rs::ChatCompletionRequestMessage {
353 role: match message.role {
354 Role::User => "user".into(),
355 Role::Assistant => "assistant".into(),
356 Role::System => "system".into(),
357 },
358 content: Some(string_contents),
359 name: None,
360 function_call: None,
361 });
362 }
363 }
364
365 // Tiktoken doesn't yet support these models, so we manually use the
366 // same tokenizer as GPT-4.
367 tiktoken_rs::num_tokens_from_messages("gpt-4", &string_messages)
368 .map(|tokens| tokens + tokens_from_images)
369 })
370 .boxed()
371}
372
373impl AnthropicModel {
374 fn stream_completion(
375 &self,
376 request: anthropic::Request,
377 cx: &AsyncApp,
378 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<anthropic::Event, AnthropicError>>>>
379 {
380 let http_client = self.http_client.clone();
381
382 let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
383 let settings = &AllLanguageModelSettings::get_global(cx).anthropic;
384 (state.api_key.clone(), settings.api_url.clone())
385 }) else {
386 return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
387 };
388
389 async move {
390 let api_key = api_key.ok_or_else(|| anyhow!("Missing Anthropic API Key"))?;
391 let request =
392 anthropic::stream_completion(http_client.as_ref(), &api_url, &api_key, request);
393 request.await.context("failed to stream completion")
394 }
395 .boxed()
396 }
397}
398
399impl LanguageModel for AnthropicModel {
400 fn id(&self) -> LanguageModelId {
401 self.id.clone()
402 }
403
404 fn name(&self) -> LanguageModelName {
405 LanguageModelName::from(self.model.display_name().to_string())
406 }
407
408 fn provider_id(&self) -> LanguageModelProviderId {
409 LanguageModelProviderId(PROVIDER_ID.into())
410 }
411
412 fn provider_name(&self) -> LanguageModelProviderName {
413 LanguageModelProviderName(PROVIDER_NAME.into())
414 }
415
416 fn supports_tools(&self) -> bool {
417 true
418 }
419
420 fn telemetry_id(&self) -> String {
421 format!("anthropic/{}", self.model.id())
422 }
423
424 fn api_key(&self, cx: &App) -> Option<String> {
425 self.state.read(cx).api_key.clone()
426 }
427
428 fn max_token_count(&self) -> usize {
429 self.model.max_token_count()
430 }
431
432 fn max_output_tokens(&self) -> Option<u32> {
433 Some(self.model.max_output_tokens())
434 }
435
436 fn count_tokens(
437 &self,
438 request: LanguageModelRequest,
439 cx: &App,
440 ) -> BoxFuture<'static, Result<usize>> {
441 count_anthropic_tokens(request, cx)
442 }
443
444 fn stream_completion(
445 &self,
446 request: LanguageModelRequest,
447 cx: &AsyncApp,
448 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<LanguageModelCompletionEvent>>>> {
449 let request = into_anthropic(
450 request,
451 self.model.request_id().into(),
452 self.model.default_temperature(),
453 self.model.max_output_tokens(),
454 self.model.mode(),
455 );
456 let request = self.stream_completion(request, cx);
457 let future = self.request_limiter.stream(async move {
458 let response = request
459 .await
460 .map_err(|err| match err.downcast::<AnthropicError>() {
461 Ok(anthropic_err) => anthropic_err_to_anyhow(anthropic_err),
462 Err(err) => anyhow!(err),
463 })?;
464 Ok(map_to_language_model_completion_events(response))
465 });
466 async move { Ok(future.await?.boxed()) }.boxed()
467 }
468
469 fn cache_configuration(&self) -> Option<LanguageModelCacheConfiguration> {
470 self.model
471 .cache_configuration()
472 .map(|config| LanguageModelCacheConfiguration {
473 max_cache_anchors: config.max_cache_anchors,
474 should_speculate: config.should_speculate,
475 min_total_token: config.min_total_token,
476 })
477 }
478}
479
480pub fn into_anthropic(
481 request: LanguageModelRequest,
482 model: String,
483 default_temperature: f32,
484 max_output_tokens: u32,
485 mode: AnthropicModelMode,
486) -> anthropic::Request {
487 let mut new_messages: Vec<anthropic::Message> = Vec::new();
488 let mut system_message = String::new();
489
490 for message in request.messages {
491 if message.contents_empty() {
492 continue;
493 }
494
495 match message.role {
496 Role::User | Role::Assistant => {
497 let cache_control = if message.cache {
498 Some(anthropic::CacheControl {
499 cache_type: anthropic::CacheControlType::Ephemeral,
500 })
501 } else {
502 None
503 };
504 let anthropic_message_content: Vec<anthropic::RequestContent> = message
505 .content
506 .into_iter()
507 .filter_map(|content| match content {
508 MessageContent::Text(text) => {
509 if !text.is_empty() {
510 Some(anthropic::RequestContent::Text {
511 text,
512 cache_control,
513 })
514 } else {
515 None
516 }
517 }
518 MessageContent::Image(image) => Some(anthropic::RequestContent::Image {
519 source: anthropic::ImageSource {
520 source_type: "base64".to_string(),
521 media_type: "image/png".to_string(),
522 data: image.source.to_string(),
523 },
524 cache_control,
525 }),
526 MessageContent::ToolUse(tool_use) => {
527 Some(anthropic::RequestContent::ToolUse {
528 id: tool_use.id.to_string(),
529 name: tool_use.name.to_string(),
530 input: tool_use.input,
531 cache_control,
532 })
533 }
534 MessageContent::ToolResult(tool_result) => {
535 Some(anthropic::RequestContent::ToolResult {
536 tool_use_id: tool_result.tool_use_id.to_string(),
537 is_error: tool_result.is_error,
538 content: tool_result.content.to_string(),
539 cache_control,
540 })
541 }
542 })
543 .collect();
544 let anthropic_role = match message.role {
545 Role::User => anthropic::Role::User,
546 Role::Assistant => anthropic::Role::Assistant,
547 Role::System => unreachable!("System role should never occur here"),
548 };
549 if let Some(last_message) = new_messages.last_mut() {
550 if last_message.role == anthropic_role {
551 last_message.content.extend(anthropic_message_content);
552 continue;
553 }
554 }
555 new_messages.push(anthropic::Message {
556 role: anthropic_role,
557 content: anthropic_message_content,
558 });
559 }
560 Role::System => {
561 if !system_message.is_empty() {
562 system_message.push_str("\n\n");
563 }
564 system_message.push_str(&message.string_contents());
565 }
566 }
567 }
568
569 anthropic::Request {
570 model,
571 messages: new_messages,
572 max_tokens: max_output_tokens,
573 system: if system_message.is_empty() {
574 None
575 } else {
576 Some(anthropic::StringOrContents::String(system_message))
577 },
578 thinking: if let AnthropicModelMode::Thinking { budget_tokens } = mode {
579 Some(anthropic::Thinking::Enabled { budget_tokens })
580 } else {
581 None
582 },
583 tools: request
584 .tools
585 .into_iter()
586 .map(|tool| anthropic::Tool {
587 name: tool.name,
588 description: tool.description,
589 input_schema: tool.input_schema,
590 })
591 .collect(),
592 tool_choice: None,
593 metadata: None,
594 stop_sequences: Vec::new(),
595 temperature: request.temperature.or(Some(default_temperature)),
596 top_k: None,
597 top_p: None,
598 }
599}
600
601pub fn map_to_language_model_completion_events(
602 events: Pin<Box<dyn Send + Stream<Item = Result<Event, AnthropicError>>>>,
603) -> impl Stream<Item = Result<LanguageModelCompletionEvent>> {
604 struct RawToolUse {
605 id: String,
606 name: String,
607 input_json: String,
608 }
609
610 struct State {
611 events: Pin<Box<dyn Send + Stream<Item = Result<Event, AnthropicError>>>>,
612 tool_uses_by_index: HashMap<usize, RawToolUse>,
613 usage: Usage,
614 stop_reason: StopReason,
615 }
616
617 futures::stream::unfold(
618 State {
619 events,
620 tool_uses_by_index: HashMap::default(),
621 usage: Usage::default(),
622 stop_reason: StopReason::EndTurn,
623 },
624 |mut state| async move {
625 while let Some(event) = state.events.next().await {
626 match event {
627 Ok(event) => match event {
628 Event::ContentBlockStart {
629 index,
630 content_block,
631 } => match content_block {
632 ResponseContent::Text { text } => {
633 return Some((
634 vec![Ok(LanguageModelCompletionEvent::Text(text))],
635 state,
636 ));
637 }
638 ResponseContent::Thinking { thinking } => {
639 return Some((
640 vec![Ok(LanguageModelCompletionEvent::Thinking(thinking))],
641 state,
642 ));
643 }
644 ResponseContent::RedactedThinking { .. } => {
645 // Redacted thinking is encrypted and not accessible to the user, see:
646 // https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#suggestions-for-handling-redacted-thinking-in-production
647 }
648 ResponseContent::ToolUse { id, name, .. } => {
649 state.tool_uses_by_index.insert(
650 index,
651 RawToolUse {
652 id,
653 name,
654 input_json: String::new(),
655 },
656 );
657 }
658 },
659 Event::ContentBlockDelta { index, delta } => match delta {
660 ContentDelta::TextDelta { text } => {
661 return Some((
662 vec![Ok(LanguageModelCompletionEvent::Text(text))],
663 state,
664 ));
665 }
666 ContentDelta::ThinkingDelta { thinking } => {
667 return Some((
668 vec![Ok(LanguageModelCompletionEvent::Thinking(thinking))],
669 state,
670 ));
671 }
672 ContentDelta::SignatureDelta { .. } => {}
673 ContentDelta::InputJsonDelta { partial_json } => {
674 if let Some(tool_use) = state.tool_uses_by_index.get_mut(&index) {
675 tool_use.input_json.push_str(&partial_json);
676 }
677 }
678 },
679 Event::ContentBlockStop { index } => {
680 if let Some(tool_use) = state.tool_uses_by_index.remove(&index) {
681 return Some((
682 vec![maybe!({
683 Ok(LanguageModelCompletionEvent::ToolUse(
684 LanguageModelToolUse {
685 id: tool_use.id.into(),
686 name: tool_use.name.into(),
687 input: if tool_use.input_json.is_empty() {
688 serde_json::Value::Object(
689 serde_json::Map::default(),
690 )
691 } else {
692 serde_json::Value::from_str(
693 &tool_use.input_json,
694 )
695 .map_err(|err| anyhow!(err))?
696 },
697 },
698 ))
699 })],
700 state,
701 ));
702 }
703 }
704 Event::MessageStart { message } => {
705 update_usage(&mut state.usage, &message.usage);
706 return Some((
707 vec![
708 Ok(LanguageModelCompletionEvent::UsageUpdate(convert_usage(
709 &state.usage,
710 ))),
711 Ok(LanguageModelCompletionEvent::StartMessage {
712 message_id: message.id,
713 }),
714 ],
715 state,
716 ));
717 }
718 Event::MessageDelta { delta, usage } => {
719 update_usage(&mut state.usage, &usage);
720 if let Some(stop_reason) = delta.stop_reason.as_deref() {
721 state.stop_reason = match stop_reason {
722 "end_turn" => StopReason::EndTurn,
723 "max_tokens" => StopReason::MaxTokens,
724 "tool_use" => StopReason::ToolUse,
725 _ => {
726 log::error!(
727 "Unexpected anthropic stop_reason: {stop_reason}"
728 );
729 StopReason::EndTurn
730 }
731 };
732 }
733 return Some((
734 vec![Ok(LanguageModelCompletionEvent::UsageUpdate(
735 convert_usage(&state.usage),
736 ))],
737 state,
738 ));
739 }
740 Event::MessageStop => {
741 return Some((
742 vec![Ok(LanguageModelCompletionEvent::Stop(state.stop_reason))],
743 state,
744 ));
745 }
746 Event::Error { error } => {
747 return Some((
748 vec![Err(anyhow!(AnthropicError::ApiError(error)))],
749 state,
750 ));
751 }
752 _ => {}
753 },
754 Err(err) => {
755 return Some((vec![Err(anthropic_err_to_anyhow(err))], state));
756 }
757 }
758 }
759
760 None
761 },
762 )
763 .flat_map(futures::stream::iter)
764}
765
766pub fn anthropic_err_to_anyhow(err: AnthropicError) -> anyhow::Error {
767 if let AnthropicError::ApiError(api_err) = &err {
768 if let Some(tokens) = api_err.match_window_exceeded() {
769 return anyhow!(LanguageModelKnownError::ContextWindowLimitExceeded { tokens });
770 }
771 }
772
773 anyhow!(err)
774}
775
776/// Updates usage data by preferring counts from `new`.
777fn update_usage(usage: &mut Usage, new: &Usage) {
778 if let Some(input_tokens) = new.input_tokens {
779 usage.input_tokens = Some(input_tokens);
780 }
781 if let Some(output_tokens) = new.output_tokens {
782 usage.output_tokens = Some(output_tokens);
783 }
784 if let Some(cache_creation_input_tokens) = new.cache_creation_input_tokens {
785 usage.cache_creation_input_tokens = Some(cache_creation_input_tokens);
786 }
787 if let Some(cache_read_input_tokens) = new.cache_read_input_tokens {
788 usage.cache_read_input_tokens = Some(cache_read_input_tokens);
789 }
790}
791
792fn convert_usage(usage: &Usage) -> language_model::TokenUsage {
793 language_model::TokenUsage {
794 input_tokens: usage.input_tokens.unwrap_or(0),
795 output_tokens: usage.output_tokens.unwrap_or(0),
796 cache_creation_input_tokens: usage.cache_creation_input_tokens.unwrap_or(0),
797 cache_read_input_tokens: usage.cache_read_input_tokens.unwrap_or(0),
798 }
799}
800
801struct ConfigurationView {
802 api_key_editor: Entity<Editor>,
803 state: gpui::Entity<State>,
804 load_credentials_task: Option<Task<()>>,
805}
806
807impl ConfigurationView {
808 const PLACEHOLDER_TEXT: &'static str = "sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx";
809
810 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
811 cx.observe(&state, |_, _, cx| {
812 cx.notify();
813 })
814 .detach();
815
816 let load_credentials_task = Some(cx.spawn({
817 let state = state.clone();
818 async move |this, cx| {
819 if let Some(task) = state
820 .update(cx, |state, cx| state.authenticate(cx))
821 .log_err()
822 {
823 // We don't log an error, because "not signed in" is also an error.
824 let _ = task.await;
825 }
826 this.update(cx, |this, cx| {
827 this.load_credentials_task = None;
828 cx.notify();
829 })
830 .log_err();
831 }
832 }));
833
834 Self {
835 api_key_editor: cx.new(|cx| {
836 let mut editor = Editor::single_line(window, cx);
837 editor.set_placeholder_text(Self::PLACEHOLDER_TEXT, cx);
838 editor
839 }),
840 state,
841 load_credentials_task,
842 }
843 }
844
845 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
846 let api_key = self.api_key_editor.read(cx).text(cx);
847 if api_key.is_empty() {
848 return;
849 }
850
851 let state = self.state.clone();
852 cx.spawn_in(window, async move |_, cx| {
853 state
854 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
855 .await
856 })
857 .detach_and_log_err(cx);
858
859 cx.notify();
860 }
861
862 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
863 self.api_key_editor
864 .update(cx, |editor, cx| editor.set_text("", window, cx));
865
866 let state = self.state.clone();
867 cx.spawn_in(window, async move |_, cx| {
868 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
869 })
870 .detach_and_log_err(cx);
871
872 cx.notify();
873 }
874
875 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
876 let settings = ThemeSettings::get_global(cx);
877 let text_style = TextStyle {
878 color: cx.theme().colors().text,
879 font_family: settings.ui_font.family.clone(),
880 font_features: settings.ui_font.features.clone(),
881 font_fallbacks: settings.ui_font.fallbacks.clone(),
882 font_size: rems(0.875).into(),
883 font_weight: settings.ui_font.weight,
884 font_style: FontStyle::Normal,
885 line_height: relative(1.3),
886 white_space: WhiteSpace::Normal,
887 ..Default::default()
888 };
889 EditorElement::new(
890 &self.api_key_editor,
891 EditorStyle {
892 background: cx.theme().colors().editor_background,
893 local_player: cx.theme().players().local(),
894 text: text_style,
895 ..Default::default()
896 },
897 )
898 }
899
900 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
901 !self.state.read(cx).is_authenticated()
902 }
903}
904
905impl Render for ConfigurationView {
906 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
907 let env_var_set = self.state.read(cx).api_key_from_env;
908
909 if self.load_credentials_task.is_some() {
910 div().child(Label::new("Loading credentials...")).into_any()
911 } else if self.should_render_editor(cx) {
912 v_flex()
913 .size_full()
914 .on_action(cx.listener(Self::save_api_key))
915 .child(Label::new("To use Zed's assistant with Anthropic, you need to add an API key. Follow these steps:"))
916 .child(
917 List::new()
918 .child(
919 InstructionListItem::new(
920 "Create one by visiting",
921 Some("Anthropic's settings"),
922 Some("https://console.anthropic.com/settings/keys")
923 )
924 )
925 .child(
926 InstructionListItem::text_only("Paste your API key below and hit enter to start using the assistant")
927 )
928 )
929 .child(
930 h_flex()
931 .w_full()
932 .my_2()
933 .px_2()
934 .py_1()
935 .bg(cx.theme().colors().editor_background)
936 .border_1()
937 .border_color(cx.theme().colors().border_variant)
938 .rounded_sm()
939 .child(self.render_api_key_editor(cx)),
940 )
941 .child(
942 Label::new(
943 format!("You can also assign the {ANTHROPIC_API_KEY_VAR} environment variable and restart Zed."),
944 )
945 .size(LabelSize::Small)
946 .color(Color::Muted),
947 )
948 .into_any()
949 } else {
950 h_flex()
951 .size_full()
952 .justify_between()
953 .child(
954 h_flex()
955 .gap_1()
956 .child(Icon::new(IconName::Check).color(Color::Success))
957 .child(Label::new(if env_var_set {
958 format!("API key set in {ANTHROPIC_API_KEY_VAR} environment variable.")
959 } else {
960 "API key configured.".to_string()
961 })),
962 )
963 .child(
964 Button::new("reset-key", "Reset key")
965 .icon(Some(IconName::Trash))
966 .icon_size(IconSize::Small)
967 .icon_position(IconPosition::Start)
968 .disabled(env_var_set)
969 .when(env_var_set, |this| {
970 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {ANTHROPIC_API_KEY_VAR} environment variable.")))
971 })
972 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
973 )
974 .into_any()
975 }
976 }
977}