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 })
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 Some(self.create_language_model(anthropic::Model::default()))
231 }
232
233 fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
234 Some(self.create_language_model(anthropic::Model::default_fast()))
235 }
236
237 fn recommended_models(&self, _cx: &App) -> Vec<Arc<dyn LanguageModel>> {
238 [
239 anthropic::Model::Claude3_7Sonnet,
240 anthropic::Model::Claude3_7SonnetThinking,
241 ]
242 .into_iter()
243 .map(|model| self.create_language_model(model))
244 .collect()
245 }
246
247 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
248 let mut models = BTreeMap::default();
249
250 // Add base models from anthropic::Model::iter()
251 for model in anthropic::Model::iter() {
252 if !matches!(model, anthropic::Model::Custom { .. }) {
253 models.insert(model.id().to_string(), model);
254 }
255 }
256
257 // Override with available models from settings
258 for model in AllLanguageModelSettings::get_global(cx)
259 .anthropic
260 .available_models
261 .iter()
262 {
263 models.insert(
264 model.name.clone(),
265 anthropic::Model::Custom {
266 name: model.name.clone(),
267 display_name: model.display_name.clone(),
268 max_tokens: model.max_tokens,
269 tool_override: model.tool_override.clone(),
270 cache_configuration: model.cache_configuration.as_ref().map(|config| {
271 anthropic::AnthropicModelCacheConfiguration {
272 max_cache_anchors: config.max_cache_anchors,
273 should_speculate: config.should_speculate,
274 min_total_token: config.min_total_token,
275 }
276 }),
277 max_output_tokens: model.max_output_tokens,
278 default_temperature: model.default_temperature,
279 extra_beta_headers: model.extra_beta_headers.clone(),
280 mode: model.mode.clone().unwrap_or_default().into(),
281 },
282 );
283 }
284
285 models
286 .into_values()
287 .map(|model| self.create_language_model(model))
288 .collect()
289 }
290
291 fn is_authenticated(&self, cx: &App) -> bool {
292 self.state.read(cx).is_authenticated()
293 }
294
295 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
296 self.state.update(cx, |state, cx| state.authenticate(cx))
297 }
298
299 fn configuration_view(&self, window: &mut Window, cx: &mut App) -> AnyView {
300 cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
301 .into()
302 }
303
304 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
305 self.state.update(cx, |state, cx| state.reset_api_key(cx))
306 }
307}
308
309pub struct AnthropicModel {
310 id: LanguageModelId,
311 model: anthropic::Model,
312 state: gpui::Entity<State>,
313 http_client: Arc<dyn HttpClient>,
314 request_limiter: RateLimiter,
315}
316
317pub fn count_anthropic_tokens(
318 request: LanguageModelRequest,
319 cx: &App,
320) -> BoxFuture<'static, Result<usize>> {
321 cx.background_spawn(async move {
322 let messages = request.messages;
323 let mut tokens_from_images = 0;
324 let mut string_messages = Vec::with_capacity(messages.len());
325
326 for message in messages {
327 use language_model::MessageContent;
328
329 let mut string_contents = String::new();
330
331 for content in message.content {
332 match content {
333 MessageContent::Text(text) => {
334 string_contents.push_str(&text);
335 }
336 MessageContent::Thinking { .. } => {
337 // Thinking blocks are not included in the input token count.
338 }
339 MessageContent::RedactedThinking(_) => {
340 // Thinking blocks are not included in the input token count.
341 }
342 MessageContent::Image(image) => {
343 tokens_from_images += image.estimate_tokens();
344 }
345 MessageContent::ToolUse(_tool_use) => {
346 // TODO: Estimate token usage from tool uses.
347 }
348 MessageContent::ToolResult(tool_result) => {
349 string_contents.push_str(&tool_result.content);
350 }
351 }
352 }
353
354 if !string_contents.is_empty() {
355 string_messages.push(tiktoken_rs::ChatCompletionRequestMessage {
356 role: match message.role {
357 Role::User => "user".into(),
358 Role::Assistant => "assistant".into(),
359 Role::System => "system".into(),
360 },
361 content: Some(string_contents),
362 name: None,
363 function_call: None,
364 });
365 }
366 }
367
368 // Tiktoken doesn't yet support these models, so we manually use the
369 // same tokenizer as GPT-4.
370 tiktoken_rs::num_tokens_from_messages("gpt-4", &string_messages)
371 .map(|tokens| tokens + tokens_from_images)
372 })
373 .boxed()
374}
375
376impl AnthropicModel {
377 fn stream_completion(
378 &self,
379 request: anthropic::Request,
380 cx: &AsyncApp,
381 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<anthropic::Event, AnthropicError>>>>
382 {
383 let http_client = self.http_client.clone();
384
385 let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
386 let settings = &AllLanguageModelSettings::get_global(cx).anthropic;
387 (state.api_key.clone(), settings.api_url.clone())
388 }) else {
389 return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();
390 };
391
392 async move {
393 let api_key = api_key.ok_or_else(|| anyhow!("Missing Anthropic API Key"))?;
394 let request =
395 anthropic::stream_completion(http_client.as_ref(), &api_url, &api_key, request);
396 request.await.context("failed to stream completion")
397 }
398 .boxed()
399 }
400}
401
402impl LanguageModel for AnthropicModel {
403 fn id(&self) -> LanguageModelId {
404 self.id.clone()
405 }
406
407 fn name(&self) -> LanguageModelName {
408 LanguageModelName::from(self.model.display_name().to_string())
409 }
410
411 fn provider_id(&self) -> LanguageModelProviderId {
412 LanguageModelProviderId(PROVIDER_ID.into())
413 }
414
415 fn provider_name(&self) -> LanguageModelProviderName {
416 LanguageModelProviderName(PROVIDER_NAME.into())
417 }
418
419 fn supports_tools(&self) -> bool {
420 true
421 }
422
423 fn telemetry_id(&self) -> String {
424 format!("anthropic/{}", self.model.id())
425 }
426
427 fn api_key(&self, cx: &App) -> Option<String> {
428 self.state.read(cx).api_key.clone()
429 }
430
431 fn max_token_count(&self) -> usize {
432 self.model.max_token_count()
433 }
434
435 fn max_output_tokens(&self) -> Option<u32> {
436 Some(self.model.max_output_tokens())
437 }
438
439 fn count_tokens(
440 &self,
441 request: LanguageModelRequest,
442 cx: &App,
443 ) -> BoxFuture<'static, Result<usize>> {
444 count_anthropic_tokens(request, cx)
445 }
446
447 fn stream_completion(
448 &self,
449 request: LanguageModelRequest,
450 cx: &AsyncApp,
451 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<LanguageModelCompletionEvent>>>> {
452 let request = into_anthropic(
453 request,
454 self.model.request_id().into(),
455 self.model.default_temperature(),
456 self.model.max_output_tokens(),
457 self.model.mode(),
458 );
459 let request = self.stream_completion(request, cx);
460 let future = self.request_limiter.stream(async move {
461 let response = request
462 .await
463 .map_err(|err| match err.downcast::<AnthropicError>() {
464 Ok(anthropic_err) => anthropic_err_to_anyhow(anthropic_err),
465 Err(err) => anyhow!(err),
466 })?;
467 Ok(map_to_language_model_completion_events(response))
468 });
469 async move { Ok(future.await?.boxed()) }.boxed()
470 }
471
472 fn cache_configuration(&self) -> Option<LanguageModelCacheConfiguration> {
473 self.model
474 .cache_configuration()
475 .map(|config| LanguageModelCacheConfiguration {
476 max_cache_anchors: config.max_cache_anchors,
477 should_speculate: config.should_speculate,
478 min_total_token: config.min_total_token,
479 })
480 }
481}
482
483pub fn into_anthropic(
484 request: LanguageModelRequest,
485 model: String,
486 default_temperature: f32,
487 max_output_tokens: u32,
488 mode: AnthropicModelMode,
489) -> anthropic::Request {
490 let mut new_messages: Vec<anthropic::Message> = Vec::new();
491 let mut system_message = String::new();
492
493 for message in request.messages {
494 if message.contents_empty() {
495 continue;
496 }
497
498 match message.role {
499 Role::User | Role::Assistant => {
500 let cache_control = if message.cache {
501 Some(anthropic::CacheControl {
502 cache_type: anthropic::CacheControlType::Ephemeral,
503 })
504 } else {
505 None
506 };
507 let anthropic_message_content: Vec<anthropic::RequestContent> = message
508 .content
509 .into_iter()
510 .filter_map(|content| match content {
511 MessageContent::Text(text) => {
512 if !text.is_empty() {
513 Some(anthropic::RequestContent::Text {
514 text,
515 cache_control,
516 })
517 } else {
518 None
519 }
520 }
521 MessageContent::Thinking {
522 text: thinking,
523 signature,
524 } => {
525 if !thinking.is_empty() {
526 Some(anthropic::RequestContent::Thinking {
527 thinking,
528 signature: signature.unwrap_or_default(),
529 cache_control,
530 })
531 } else {
532 None
533 }
534 }
535 MessageContent::RedactedThinking(data) => {
536 if !data.is_empty() {
537 Some(anthropic::RequestContent::RedactedThinking {
538 data: String::from_utf8(data).ok()?,
539 })
540 } else {
541 None
542 }
543 }
544 MessageContent::Image(image) => Some(anthropic::RequestContent::Image {
545 source: anthropic::ImageSource {
546 source_type: "base64".to_string(),
547 media_type: "image/png".to_string(),
548 data: image.source.to_string(),
549 },
550 cache_control,
551 }),
552 MessageContent::ToolUse(tool_use) => {
553 Some(anthropic::RequestContent::ToolUse {
554 id: tool_use.id.to_string(),
555 name: tool_use.name.to_string(),
556 input: tool_use.input,
557 cache_control,
558 })
559 }
560 MessageContent::ToolResult(tool_result) => {
561 Some(anthropic::RequestContent::ToolResult {
562 tool_use_id: tool_result.tool_use_id.to_string(),
563 is_error: tool_result.is_error,
564 content: tool_result.content.to_string(),
565 cache_control,
566 })
567 }
568 })
569 .collect();
570 let anthropic_role = match message.role {
571 Role::User => anthropic::Role::User,
572 Role::Assistant => anthropic::Role::Assistant,
573 Role::System => unreachable!("System role should never occur here"),
574 };
575 if let Some(last_message) = new_messages.last_mut() {
576 if last_message.role == anthropic_role {
577 last_message.content.extend(anthropic_message_content);
578 continue;
579 }
580 }
581 new_messages.push(anthropic::Message {
582 role: anthropic_role,
583 content: anthropic_message_content,
584 });
585 }
586 Role::System => {
587 if !system_message.is_empty() {
588 system_message.push_str("\n\n");
589 }
590 system_message.push_str(&message.string_contents());
591 }
592 }
593 }
594
595 anthropic::Request {
596 model,
597 messages: new_messages,
598 max_tokens: max_output_tokens,
599 system: if system_message.is_empty() {
600 None
601 } else {
602 Some(anthropic::StringOrContents::String(system_message))
603 },
604 thinking: if let AnthropicModelMode::Thinking { budget_tokens } = mode {
605 Some(anthropic::Thinking::Enabled { budget_tokens })
606 } else {
607 None
608 },
609 tools: request
610 .tools
611 .into_iter()
612 .map(|tool| anthropic::Tool {
613 name: tool.name,
614 description: tool.description,
615 input_schema: tool.input_schema,
616 })
617 .collect(),
618 tool_choice: None,
619 metadata: None,
620 stop_sequences: Vec::new(),
621 temperature: request.temperature.or(Some(default_temperature)),
622 top_k: None,
623 top_p: None,
624 }
625}
626
627pub fn map_to_language_model_completion_events(
628 events: Pin<Box<dyn Send + Stream<Item = Result<Event, AnthropicError>>>>,
629) -> impl Stream<Item = Result<LanguageModelCompletionEvent>> {
630 struct RawToolUse {
631 id: String,
632 name: String,
633 input_json: String,
634 }
635
636 struct State {
637 events: Pin<Box<dyn Send + Stream<Item = Result<Event, AnthropicError>>>>,
638 tool_uses_by_index: HashMap<usize, RawToolUse>,
639 usage: Usage,
640 stop_reason: StopReason,
641 }
642
643 futures::stream::unfold(
644 State {
645 events,
646 tool_uses_by_index: HashMap::default(),
647 usage: Usage::default(),
648 stop_reason: StopReason::EndTurn,
649 },
650 |mut state| async move {
651 while let Some(event) = state.events.next().await {
652 match event {
653 Ok(event) => match event {
654 Event::ContentBlockStart {
655 index,
656 content_block,
657 } => match content_block {
658 ResponseContent::Text { text } => {
659 return Some((
660 vec![Ok(LanguageModelCompletionEvent::Text(text))],
661 state,
662 ));
663 }
664 ResponseContent::Thinking { thinking } => {
665 return Some((
666 vec![Ok(LanguageModelCompletionEvent::Thinking {
667 text: thinking,
668 signature: None,
669 })],
670 state,
671 ));
672 }
673 ResponseContent::RedactedThinking { .. } => {
674 // Redacted thinking is encrypted and not accessible to the user, see:
675 // https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#suggestions-for-handling-redacted-thinking-in-production
676 }
677 ResponseContent::ToolUse { id, name, .. } => {
678 state.tool_uses_by_index.insert(
679 index,
680 RawToolUse {
681 id,
682 name,
683 input_json: String::new(),
684 },
685 );
686 }
687 },
688 Event::ContentBlockDelta { index, delta } => match delta {
689 ContentDelta::TextDelta { text } => {
690 return Some((
691 vec![Ok(LanguageModelCompletionEvent::Text(text))],
692 state,
693 ));
694 }
695 ContentDelta::ThinkingDelta { thinking } => {
696 return Some((
697 vec![Ok(LanguageModelCompletionEvent::Thinking {
698 text: thinking,
699 signature: None,
700 })],
701 state,
702 ));
703 }
704 ContentDelta::SignatureDelta { signature } => {
705 return Some((
706 vec![Ok(LanguageModelCompletionEvent::Thinking {
707 text: "".to_string(),
708 signature: Some(signature),
709 })],
710 state,
711 ));
712 }
713 ContentDelta::InputJsonDelta { partial_json } => {
714 if let Some(tool_use) = state.tool_uses_by_index.get_mut(&index) {
715 tool_use.input_json.push_str(&partial_json);
716
717 return Some((
718 vec![maybe!({
719 Ok(LanguageModelCompletionEvent::ToolUse(
720 LanguageModelToolUse {
721 id: tool_use.id.clone().into(),
722 name: tool_use.name.clone().into(),
723 is_input_complete: false,
724 input: if tool_use.input_json.is_empty() {
725 serde_json::Value::Object(
726 serde_json::Map::default(),
727 )
728 } else {
729 serde_json::Value::from_str(
730 // Convert invalid (incomplete) JSON into
731 // JSON that serde will accept, e.g. by closing
732 // unclosed delimiters. This way, we can update
733 // the UI with whatever has been streamed back so far.
734 &partial_json_fixer::fix_json(
735 &tool_use.input_json,
736 ),
737 )
738 .map_err(|err| anyhow!(err))?
739 },
740 },
741 ))
742 })],
743 state,
744 ));
745 }
746 }
747 },
748 Event::ContentBlockStop { index } => {
749 if let Some(tool_use) = state.tool_uses_by_index.remove(&index) {
750 return Some((
751 vec![maybe!({
752 Ok(LanguageModelCompletionEvent::ToolUse(
753 LanguageModelToolUse {
754 id: tool_use.id.into(),
755 name: tool_use.name.into(),
756 is_input_complete: true,
757 input: if tool_use.input_json.is_empty() {
758 serde_json::Value::Object(
759 serde_json::Map::default(),
760 )
761 } else {
762 serde_json::Value::from_str(
763 &tool_use.input_json,
764 )
765 .map_err(|err| anyhow!(err))?
766 },
767 },
768 ))
769 })],
770 state,
771 ));
772 }
773 }
774 Event::MessageStart { message } => {
775 update_usage(&mut state.usage, &message.usage);
776 return Some((
777 vec![
778 Ok(LanguageModelCompletionEvent::UsageUpdate(convert_usage(
779 &state.usage,
780 ))),
781 Ok(LanguageModelCompletionEvent::StartMessage {
782 message_id: message.id,
783 }),
784 ],
785 state,
786 ));
787 }
788 Event::MessageDelta { delta, usage } => {
789 update_usage(&mut state.usage, &usage);
790 if let Some(stop_reason) = delta.stop_reason.as_deref() {
791 state.stop_reason = match stop_reason {
792 "end_turn" => StopReason::EndTurn,
793 "max_tokens" => StopReason::MaxTokens,
794 "tool_use" => StopReason::ToolUse,
795 _ => {
796 log::error!(
797 "Unexpected anthropic stop_reason: {stop_reason}"
798 );
799 StopReason::EndTurn
800 }
801 };
802 }
803 return Some((
804 vec![Ok(LanguageModelCompletionEvent::UsageUpdate(
805 convert_usage(&state.usage),
806 ))],
807 state,
808 ));
809 }
810 Event::MessageStop => {
811 return Some((
812 vec![Ok(LanguageModelCompletionEvent::Stop(state.stop_reason))],
813 state,
814 ));
815 }
816 Event::Error { error } => {
817 return Some((
818 vec![Err(anyhow!(AnthropicError::ApiError(error)))],
819 state,
820 ));
821 }
822 _ => {}
823 },
824 Err(err) => {
825 return Some((vec![Err(anthropic_err_to_anyhow(err))], state));
826 }
827 }
828 }
829
830 None
831 },
832 )
833 .flat_map(futures::stream::iter)
834}
835
836pub fn anthropic_err_to_anyhow(err: AnthropicError) -> anyhow::Error {
837 if let AnthropicError::ApiError(api_err) = &err {
838 if let Some(tokens) = api_err.match_window_exceeded() {
839 return anyhow!(LanguageModelKnownError::ContextWindowLimitExceeded { tokens });
840 }
841 }
842
843 anyhow!(err)
844}
845
846/// Updates usage data by preferring counts from `new`.
847fn update_usage(usage: &mut Usage, new: &Usage) {
848 if let Some(input_tokens) = new.input_tokens {
849 usage.input_tokens = Some(input_tokens);
850 }
851 if let Some(output_tokens) = new.output_tokens {
852 usage.output_tokens = Some(output_tokens);
853 }
854 if let Some(cache_creation_input_tokens) = new.cache_creation_input_tokens {
855 usage.cache_creation_input_tokens = Some(cache_creation_input_tokens);
856 }
857 if let Some(cache_read_input_tokens) = new.cache_read_input_tokens {
858 usage.cache_read_input_tokens = Some(cache_read_input_tokens);
859 }
860}
861
862fn convert_usage(usage: &Usage) -> language_model::TokenUsage {
863 language_model::TokenUsage {
864 input_tokens: usage.input_tokens.unwrap_or(0),
865 output_tokens: usage.output_tokens.unwrap_or(0),
866 cache_creation_input_tokens: usage.cache_creation_input_tokens.unwrap_or(0),
867 cache_read_input_tokens: usage.cache_read_input_tokens.unwrap_or(0),
868 }
869}
870
871struct ConfigurationView {
872 api_key_editor: Entity<Editor>,
873 state: gpui::Entity<State>,
874 load_credentials_task: Option<Task<()>>,
875}
876
877impl ConfigurationView {
878 const PLACEHOLDER_TEXT: &'static str = "sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx";
879
880 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
881 cx.observe(&state, |_, _, cx| {
882 cx.notify();
883 })
884 .detach();
885
886 let load_credentials_task = Some(cx.spawn({
887 let state = state.clone();
888 async move |this, cx| {
889 if let Some(task) = state
890 .update(cx, |state, cx| state.authenticate(cx))
891 .log_err()
892 {
893 // We don't log an error, because "not signed in" is also an error.
894 let _ = task.await;
895 }
896 this.update(cx, |this, cx| {
897 this.load_credentials_task = None;
898 cx.notify();
899 })
900 .log_err();
901 }
902 }));
903
904 Self {
905 api_key_editor: cx.new(|cx| {
906 let mut editor = Editor::single_line(window, cx);
907 editor.set_placeholder_text(Self::PLACEHOLDER_TEXT, cx);
908 editor
909 }),
910 state,
911 load_credentials_task,
912 }
913 }
914
915 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
916 let api_key = self.api_key_editor.read(cx).text(cx);
917 if api_key.is_empty() {
918 return;
919 }
920
921 let state = self.state.clone();
922 cx.spawn_in(window, async move |_, cx| {
923 state
924 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
925 .await
926 })
927 .detach_and_log_err(cx);
928
929 cx.notify();
930 }
931
932 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
933 self.api_key_editor
934 .update(cx, |editor, cx| editor.set_text("", window, cx));
935
936 let state = self.state.clone();
937 cx.spawn_in(window, async move |_, cx| {
938 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
939 })
940 .detach_and_log_err(cx);
941
942 cx.notify();
943 }
944
945 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
946 let settings = ThemeSettings::get_global(cx);
947 let text_style = TextStyle {
948 color: cx.theme().colors().text,
949 font_family: settings.ui_font.family.clone(),
950 font_features: settings.ui_font.features.clone(),
951 font_fallbacks: settings.ui_font.fallbacks.clone(),
952 font_size: rems(0.875).into(),
953 font_weight: settings.ui_font.weight,
954 font_style: FontStyle::Normal,
955 line_height: relative(1.3),
956 white_space: WhiteSpace::Normal,
957 ..Default::default()
958 };
959 EditorElement::new(
960 &self.api_key_editor,
961 EditorStyle {
962 background: cx.theme().colors().editor_background,
963 local_player: cx.theme().players().local(),
964 text: text_style,
965 ..Default::default()
966 },
967 )
968 }
969
970 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
971 !self.state.read(cx).is_authenticated()
972 }
973}
974
975impl Render for ConfigurationView {
976 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
977 let env_var_set = self.state.read(cx).api_key_from_env;
978
979 if self.load_credentials_task.is_some() {
980 div().child(Label::new("Loading credentials...")).into_any()
981 } else if self.should_render_editor(cx) {
982 v_flex()
983 .size_full()
984 .on_action(cx.listener(Self::save_api_key))
985 .child(Label::new("To use Zed's assistant with Anthropic, you need to add an API key. Follow these steps:"))
986 .child(
987 List::new()
988 .child(
989 InstructionListItem::new(
990 "Create one by visiting",
991 Some("Anthropic's settings"),
992 Some("https://console.anthropic.com/settings/keys")
993 )
994 )
995 .child(
996 InstructionListItem::text_only("Paste your API key below and hit enter to start using the assistant")
997 )
998 )
999 .child(
1000 h_flex()
1001 .w_full()
1002 .my_2()
1003 .px_2()
1004 .py_1()
1005 .bg(cx.theme().colors().editor_background)
1006 .border_1()
1007 .border_color(cx.theme().colors().border)
1008 .rounded_sm()
1009 .child(self.render_api_key_editor(cx)),
1010 )
1011 .child(
1012 Label::new(
1013 format!("You can also assign the {ANTHROPIC_API_KEY_VAR} environment variable and restart Zed."),
1014 )
1015 .size(LabelSize::Small)
1016 .color(Color::Muted),
1017 )
1018 .into_any()
1019 } else {
1020 h_flex()
1021 .mt_1()
1022 .p_1()
1023 .justify_between()
1024 .rounded_md()
1025 .border_1()
1026 .border_color(cx.theme().colors().border)
1027 .bg(cx.theme().colors().background)
1028 .child(
1029 h_flex()
1030 .gap_1()
1031 .child(Icon::new(IconName::Check).color(Color::Success))
1032 .child(Label::new(if env_var_set {
1033 format!("API key set in {ANTHROPIC_API_KEY_VAR} environment variable.")
1034 } else {
1035 "API key configured.".to_string()
1036 })),
1037 )
1038 .child(
1039 Button::new("reset-key", "Reset Key")
1040 .label_size(LabelSize::Small)
1041 .icon(Some(IconName::Trash))
1042 .icon_size(IconSize::Small)
1043 .icon_position(IconPosition::Start)
1044 .disabled(env_var_set)
1045 .when(env_var_set, |this| {
1046 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {ANTHROPIC_API_KEY_VAR} environment variable.")))
1047 })
1048 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
1049 )
1050 .into_any()
1051 }
1052 }
1053}