1use crate::AllLanguageModelSettings;
2use crate::ui::InstructionListItem;
3use anthropic::{
4 AnthropicError, AnthropicModelMode, ContentDelta, Event, ResponseContent, ToolResultContent,
5 ToolResultPart, Usage,
6};
7use anyhow::{Context as _, Result, anyhow};
8use collections::{BTreeMap, HashMap};
9use credentials_provider::CredentialsProvider;
10use editor::{Editor, EditorElement, EditorStyle};
11use futures::Stream;
12use futures::{FutureExt, StreamExt, future::BoxFuture, stream::BoxStream};
13use gpui::{
14 AnyView, App, AsyncApp, Context, Entity, FontStyle, Subscription, Task, TextStyle, WhiteSpace,
15};
16use http_client::HttpClient;
17use language_model::{
18 AuthenticateError, LanguageModel, LanguageModelCacheConfiguration,
19 LanguageModelCompletionError, LanguageModelId, LanguageModelName, LanguageModelProvider,
20 LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
21 LanguageModelRequest, LanguageModelToolChoice, LanguageModelToolResultContent, MessageContent,
22 RateLimiter, Role,
23};
24use language_model::{LanguageModelCompletionEvent, LanguageModelToolUse, StopReason};
25use schemars::JsonSchema;
26use serde::{Deserialize, Serialize};
27use settings::{Settings, SettingsStore};
28use std::pin::Pin;
29use std::str::FromStr;
30use std::sync::Arc;
31use strum::IntoEnumIterator;
32use theme::ThemeSettings;
33use ui::{Icon, IconName, List, Tooltip, prelude::*};
34use util::ResultExt;
35
36const PROVIDER_ID: LanguageModelProviderId = language_model::ANTHROPIC_PROVIDER_ID;
37const PROVIDER_NAME: LanguageModelProviderName = language_model::ANTHROPIC_PROVIDER_NAME;
38
39#[derive(Default, Clone, Debug, PartialEq)]
40pub struct AnthropicSettings {
41 pub api_url: String,
42 /// Extend Zed's list of Anthropic models.
43 pub available_models: Vec<AvailableModel>,
44}
45
46#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
47pub struct AvailableModel {
48 /// The model's name in the Anthropic API. e.g. claude-3-5-sonnet-latest, claude-3-opus-20240229, etc
49 pub name: String,
50 /// The model's name in Zed's UI, such as in the model selector dropdown menu in the assistant panel.
51 pub display_name: Option<String>,
52 /// The model's context window size.
53 pub max_tokens: u64,
54 /// A model `name` to substitute when calling tools, in case the primary model doesn't support tool calling.
55 pub tool_override: Option<String>,
56 /// Configuration of Anthropic's caching API.
57 pub cache_configuration: Option<LanguageModelCacheConfiguration>,
58 pub max_output_tokens: Option<u64>,
59 pub default_temperature: Option<f32>,
60 #[serde(default)]
61 pub extra_beta_headers: Vec<String>,
62 /// The model's mode (e.g. thinking)
63 pub mode: Option<ModelMode>,
64}
65
66#[derive(Clone, Debug, Default, PartialEq, Serialize, Deserialize, JsonSchema)]
67#[serde(tag = "type", rename_all = "lowercase")]
68pub enum ModelMode {
69 #[default]
70 Default,
71 Thinking {
72 /// The maximum number of tokens to use for reasoning. Must be lower than the model's `max_output_tokens`.
73 budget_tokens: Option<u32>,
74 },
75}
76
77impl From<ModelMode> for AnthropicModelMode {
78 fn from(value: ModelMode) -> Self {
79 match value {
80 ModelMode::Default => AnthropicModelMode::Default,
81 ModelMode::Thinking { budget_tokens } => AnthropicModelMode::Thinking { budget_tokens },
82 }
83 }
84}
85
86impl From<AnthropicModelMode> for ModelMode {
87 fn from(value: AnthropicModelMode) -> Self {
88 match value {
89 AnthropicModelMode::Default => ModelMode::Default,
90 AnthropicModelMode::Thinking { budget_tokens } => ModelMode::Thinking { budget_tokens },
91 }
92 }
93}
94
95pub struct AnthropicLanguageModelProvider {
96 http_client: Arc<dyn HttpClient>,
97 state: gpui::Entity<State>,
98}
99
100const ANTHROPIC_API_KEY_VAR: &str = "ANTHROPIC_API_KEY";
101
102pub struct State {
103 api_key: Option<String>,
104 api_key_from_env: bool,
105 _subscription: Subscription,
106}
107
108impl State {
109 fn reset_api_key(&self, cx: &mut Context<Self>) -> Task<Result<()>> {
110 let credentials_provider = <dyn CredentialsProvider>::global(cx);
111 let api_url = AllLanguageModelSettings::get_global(cx)
112 .anthropic
113 .api_url
114 .clone();
115 cx.spawn(async move |this, cx| {
116 credentials_provider
117 .delete_credentials(&api_url, &cx)
118 .await
119 .ok();
120 this.update(cx, |this, cx| {
121 this.api_key = None;
122 this.api_key_from_env = false;
123 cx.notify();
124 })
125 })
126 }
127
128 fn set_api_key(&mut self, api_key: String, cx: &mut Context<Self>) -> Task<Result<()>> {
129 let credentials_provider = <dyn CredentialsProvider>::global(cx);
130 let api_url = AllLanguageModelSettings::get_global(cx)
131 .anthropic
132 .api_url
133 .clone();
134 cx.spawn(async move |this, cx| {
135 credentials_provider
136 .write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)
137 .await
138 .ok();
139
140 this.update(cx, |this, cx| {
141 this.api_key = Some(api_key);
142 cx.notify();
143 })
144 })
145 }
146
147 fn is_authenticated(&self) -> bool {
148 self.api_key.is_some()
149 }
150
151 fn authenticate(&self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {
152 if self.is_authenticated() {
153 return Task::ready(Ok(()));
154 }
155
156 let key = ApiKey::get(cx);
157
158 cx.spawn(async move |this, cx| {
159 let key = key.await?;
160
161 this.update(cx, |this, cx| {
162 this.api_key = Some(key.key);
163 this.api_key_from_env = key.from_env;
164 cx.notify();
165 })?;
166
167 Ok(())
168 })
169 }
170}
171
172pub struct ApiKey {
173 pub key: String,
174 pub from_env: bool,
175}
176
177impl ApiKey {
178 pub fn get(cx: &mut App) -> Task<Result<Self>> {
179 let credentials_provider = <dyn CredentialsProvider>::global(cx);
180 let api_url = AllLanguageModelSettings::get_global(cx)
181 .anthropic
182 .api_url
183 .clone();
184
185 if let Ok(key) = std::env::var(ANTHROPIC_API_KEY_VAR) {
186 Task::ready(Ok(ApiKey {
187 key,
188 from_env: true,
189 }))
190 } else {
191 cx.spawn(async move |cx| {
192 let (_, api_key) = credentials_provider
193 .read_credentials(&api_url, &cx)
194 .await?
195 .ok_or(AuthenticateError::CredentialsNotFound)?;
196
197 Ok(ApiKey {
198 key: String::from_utf8(api_key).context("invalid {PROVIDER_NAME} API key")?,
199 from_env: false,
200 })
201 })
202 }
203 }
204}
205
206impl AnthropicLanguageModelProvider {
207 pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {
208 let state = cx.new(|cx| State {
209 api_key: None,
210 api_key_from_env: false,
211 _subscription: cx.observe_global::<SettingsStore>(|_, cx| {
212 cx.notify();
213 }),
214 });
215
216 Self { http_client, state }
217 }
218
219 fn create_language_model(&self, model: anthropic::Model) -> Arc<dyn LanguageModel> {
220 Arc::new(AnthropicModel {
221 id: LanguageModelId::from(model.id().to_string()),
222 model,
223 state: self.state.clone(),
224 http_client: self.http_client.clone(),
225 request_limiter: RateLimiter::new(4),
226 })
227 }
228}
229
230impl LanguageModelProviderState for AnthropicLanguageModelProvider {
231 type ObservableEntity = State;
232
233 fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {
234 Some(self.state.clone())
235 }
236}
237
238impl LanguageModelProvider for AnthropicLanguageModelProvider {
239 fn id(&self) -> LanguageModelProviderId {
240 PROVIDER_ID
241 }
242
243 fn name(&self) -> LanguageModelProviderName {
244 PROVIDER_NAME
245 }
246
247 fn icon(&self) -> IconName {
248 IconName::AiAnthropic
249 }
250
251 fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
252 Some(self.create_language_model(anthropic::Model::default()))
253 }
254
255 fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {
256 Some(self.create_language_model(anthropic::Model::default_fast()))
257 }
258
259 fn recommended_models(&self, _cx: &App) -> Vec<Arc<dyn LanguageModel>> {
260 [
261 anthropic::Model::ClaudeSonnet4,
262 anthropic::Model::ClaudeSonnet4Thinking,
263 ]
264 .into_iter()
265 .map(|model| self.create_language_model(model))
266 .collect()
267 }
268
269 fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {
270 let mut models = BTreeMap::default();
271
272 // Add base models from anthropic::Model::iter()
273 for model in anthropic::Model::iter() {
274 if !matches!(model, anthropic::Model::Custom { .. }) {
275 models.insert(model.id().to_string(), model);
276 }
277 }
278
279 // Override with available models from settings
280 for model in AllLanguageModelSettings::get_global(cx)
281 .anthropic
282 .available_models
283 .iter()
284 {
285 models.insert(
286 model.name.clone(),
287 anthropic::Model::Custom {
288 name: model.name.clone(),
289 display_name: model.display_name.clone(),
290 max_tokens: model.max_tokens,
291 tool_override: model.tool_override.clone(),
292 cache_configuration: model.cache_configuration.as_ref().map(|config| {
293 anthropic::AnthropicModelCacheConfiguration {
294 max_cache_anchors: config.max_cache_anchors,
295 should_speculate: config.should_speculate,
296 min_total_token: config.min_total_token,
297 }
298 }),
299 max_output_tokens: model.max_output_tokens,
300 default_temperature: model.default_temperature,
301 extra_beta_headers: model.extra_beta_headers.clone(),
302 mode: model.mode.clone().unwrap_or_default().into(),
303 },
304 );
305 }
306
307 models
308 .into_values()
309 .map(|model| self.create_language_model(model))
310 .collect()
311 }
312
313 fn is_authenticated(&self, cx: &App) -> bool {
314 self.state.read(cx).is_authenticated()
315 }
316
317 fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {
318 self.state.update(cx, |state, cx| state.authenticate(cx))
319 }
320
321 fn configuration_view(&self, window: &mut Window, cx: &mut App) -> AnyView {
322 cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))
323 .into()
324 }
325
326 fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {
327 self.state.update(cx, |state, cx| state.reset_api_key(cx))
328 }
329}
330
331pub struct AnthropicModel {
332 id: LanguageModelId,
333 model: anthropic::Model,
334 state: gpui::Entity<State>,
335 http_client: Arc<dyn HttpClient>,
336 request_limiter: RateLimiter,
337}
338
339pub fn count_anthropic_tokens(
340 request: LanguageModelRequest,
341 cx: &App,
342) -> BoxFuture<'static, Result<u64>> {
343 cx.background_spawn(async move {
344 let messages = request.messages;
345 let mut tokens_from_images = 0;
346 let mut string_messages = Vec::with_capacity(messages.len());
347
348 for message in messages {
349 use language_model::MessageContent;
350
351 let mut string_contents = String::new();
352
353 for content in message.content {
354 match content {
355 MessageContent::Text(text) => {
356 string_contents.push_str(&text);
357 }
358 MessageContent::Thinking { .. } => {
359 // Thinking blocks are not included in the input token count.
360 }
361 MessageContent::RedactedThinking(_) => {
362 // Thinking blocks are not included in the input token count.
363 }
364 MessageContent::Image(image) => {
365 tokens_from_images += image.estimate_tokens();
366 }
367 MessageContent::ToolUse(_tool_use) => {
368 // TODO: Estimate token usage from tool uses.
369 }
370 MessageContent::ToolResult(tool_result) => match &tool_result.content {
371 LanguageModelToolResultContent::Text(text) => {
372 string_contents.push_str(text);
373 }
374 LanguageModelToolResultContent::Image(image) => {
375 tokens_from_images += image.estimate_tokens();
376 }
377 },
378 }
379 }
380
381 if !string_contents.is_empty() {
382 string_messages.push(tiktoken_rs::ChatCompletionRequestMessage {
383 role: match message.role {
384 Role::User => "user".into(),
385 Role::Assistant => "assistant".into(),
386 Role::System => "system".into(),
387 },
388 content: Some(string_contents),
389 name: None,
390 function_call: None,
391 });
392 }
393 }
394
395 // Tiktoken doesn't yet support these models, so we manually use the
396 // same tokenizer as GPT-4.
397 tiktoken_rs::num_tokens_from_messages("gpt-4", &string_messages)
398 .map(|tokens| (tokens + tokens_from_images) as u64)
399 })
400 .boxed()
401}
402
403impl AnthropicModel {
404 fn stream_completion(
405 &self,
406 request: anthropic::Request,
407 cx: &AsyncApp,
408 ) -> BoxFuture<
409 'static,
410 Result<
411 BoxStream<'static, Result<anthropic::Event, AnthropicError>>,
412 LanguageModelCompletionError,
413 >,
414 > {
415 let http_client = self.http_client.clone();
416
417 let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {
418 let settings = &AllLanguageModelSettings::get_global(cx).anthropic;
419 (state.api_key.clone(), settings.api_url.clone())
420 }) else {
421 return futures::future::ready(Err(anyhow!("App state dropped").into())).boxed();
422 };
423
424 async move {
425 let Some(api_key) = api_key else {
426 return Err(LanguageModelCompletionError::NoApiKey {
427 provider: PROVIDER_NAME,
428 });
429 };
430 let request =
431 anthropic::stream_completion(http_client.as_ref(), &api_url, &api_key, request);
432 request.await.map_err(Into::into)
433 }
434 .boxed()
435 }
436}
437
438impl LanguageModel for AnthropicModel {
439 fn id(&self) -> LanguageModelId {
440 self.id.clone()
441 }
442
443 fn name(&self) -> LanguageModelName {
444 LanguageModelName::from(self.model.display_name().to_string())
445 }
446
447 fn provider_id(&self) -> LanguageModelProviderId {
448 PROVIDER_ID
449 }
450
451 fn provider_name(&self) -> LanguageModelProviderName {
452 PROVIDER_NAME
453 }
454
455 fn supports_tools(&self) -> bool {
456 true
457 }
458
459 fn supports_images(&self) -> bool {
460 true
461 }
462
463 fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {
464 match choice {
465 LanguageModelToolChoice::Auto
466 | LanguageModelToolChoice::Any
467 | LanguageModelToolChoice::None => true,
468 }
469 }
470
471 fn telemetry_id(&self) -> String {
472 format!("anthropic/{}", self.model.id())
473 }
474
475 fn api_key(&self, cx: &App) -> Option<String> {
476 self.state.read(cx).api_key.clone()
477 }
478
479 fn max_token_count(&self) -> u64 {
480 self.model.max_token_count()
481 }
482
483 fn max_output_tokens(&self) -> Option<u64> {
484 Some(self.model.max_output_tokens())
485 }
486
487 fn count_tokens(
488 &self,
489 request: LanguageModelRequest,
490 cx: &App,
491 ) -> BoxFuture<'static, Result<u64>> {
492 count_anthropic_tokens(request, cx)
493 }
494
495 fn stream_completion(
496 &self,
497 request: LanguageModelRequest,
498 cx: &AsyncApp,
499 ) -> BoxFuture<
500 'static,
501 Result<
502 BoxStream<'static, Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>,
503 LanguageModelCompletionError,
504 >,
505 > {
506 let request = into_anthropic(
507 request,
508 self.model.request_id().into(),
509 self.model.default_temperature(),
510 self.model.max_output_tokens(),
511 self.model.mode(),
512 );
513 let request = self.stream_completion(request, cx);
514 let future = self.request_limiter.stream(async move {
515 let response = request.await?;
516 Ok(AnthropicEventMapper::new().map_stream(response))
517 });
518 async move { Ok(future.await?.boxed()) }.boxed()
519 }
520
521 fn cache_configuration(&self) -> Option<LanguageModelCacheConfiguration> {
522 self.model
523 .cache_configuration()
524 .map(|config| LanguageModelCacheConfiguration {
525 max_cache_anchors: config.max_cache_anchors,
526 should_speculate: config.should_speculate,
527 min_total_token: config.min_total_token,
528 })
529 }
530}
531
532pub fn into_anthropic(
533 request: LanguageModelRequest,
534 model: String,
535 default_temperature: f32,
536 max_output_tokens: u64,
537 mode: AnthropicModelMode,
538) -> anthropic::Request {
539 let mut new_messages: Vec<anthropic::Message> = Vec::new();
540 let mut system_message = String::new();
541
542 for message in request.messages {
543 if message.contents_empty() {
544 continue;
545 }
546
547 match message.role {
548 Role::User | Role::Assistant => {
549 let mut anthropic_message_content: Vec<anthropic::RequestContent> = message
550 .content
551 .into_iter()
552 .filter_map(|content| match content {
553 MessageContent::Text(text) => {
554 let text = if text.chars().last().map_or(false, |c| c.is_whitespace()) {
555 text.trim_end().to_string()
556 } else {
557 text
558 };
559 if !text.is_empty() {
560 Some(anthropic::RequestContent::Text {
561 text,
562 cache_control: None,
563 })
564 } else {
565 None
566 }
567 }
568 MessageContent::Thinking {
569 text: thinking,
570 signature,
571 } => {
572 if !thinking.is_empty() {
573 Some(anthropic::RequestContent::Thinking {
574 thinking,
575 signature: signature.unwrap_or_default(),
576 cache_control: None,
577 })
578 } else {
579 None
580 }
581 }
582 MessageContent::RedactedThinking(data) => {
583 if !data.is_empty() {
584 Some(anthropic::RequestContent::RedactedThinking { data })
585 } else {
586 None
587 }
588 }
589 MessageContent::Image(image) => Some(anthropic::RequestContent::Image {
590 source: anthropic::ImageSource {
591 source_type: "base64".to_string(),
592 media_type: "image/png".to_string(),
593 data: image.source.to_string(),
594 },
595 cache_control: None,
596 }),
597 MessageContent::ToolUse(tool_use) => {
598 Some(anthropic::RequestContent::ToolUse {
599 id: tool_use.id.to_string(),
600 name: tool_use.name.to_string(),
601 input: tool_use.input,
602 cache_control: None,
603 })
604 }
605 MessageContent::ToolResult(tool_result) => {
606 Some(anthropic::RequestContent::ToolResult {
607 tool_use_id: tool_result.tool_use_id.to_string(),
608 is_error: tool_result.is_error,
609 content: match tool_result.content {
610 LanguageModelToolResultContent::Text(text) => {
611 ToolResultContent::Plain(text.to_string())
612 }
613 LanguageModelToolResultContent::Image(image) => {
614 ToolResultContent::Multipart(vec![ToolResultPart::Image {
615 source: anthropic::ImageSource {
616 source_type: "base64".to_string(),
617 media_type: "image/png".to_string(),
618 data: image.source.to_string(),
619 },
620 }])
621 }
622 },
623 cache_control: None,
624 })
625 }
626 })
627 .collect();
628 let anthropic_role = match message.role {
629 Role::User => anthropic::Role::User,
630 Role::Assistant => anthropic::Role::Assistant,
631 Role::System => unreachable!("System role should never occur here"),
632 };
633 if let Some(last_message) = new_messages.last_mut() {
634 if last_message.role == anthropic_role {
635 last_message.content.extend(anthropic_message_content);
636 continue;
637 }
638 }
639
640 // Mark the last segment of the message as cached
641 if message.cache {
642 let cache_control_value = Some(anthropic::CacheControl {
643 cache_type: anthropic::CacheControlType::Ephemeral,
644 });
645 for message_content in anthropic_message_content.iter_mut().rev() {
646 match message_content {
647 anthropic::RequestContent::RedactedThinking { .. } => {
648 // Caching is not possible, fallback to next message
649 }
650 anthropic::RequestContent::Text { cache_control, .. }
651 | anthropic::RequestContent::Thinking { cache_control, .. }
652 | anthropic::RequestContent::Image { cache_control, .. }
653 | anthropic::RequestContent::ToolUse { cache_control, .. }
654 | anthropic::RequestContent::ToolResult { cache_control, .. } => {
655 *cache_control = cache_control_value;
656 break;
657 }
658 }
659 }
660 }
661
662 new_messages.push(anthropic::Message {
663 role: anthropic_role,
664 content: anthropic_message_content,
665 });
666 }
667 Role::System => {
668 if !system_message.is_empty() {
669 system_message.push_str("\n\n");
670 }
671 system_message.push_str(&message.string_contents());
672 }
673 }
674 }
675
676 anthropic::Request {
677 model,
678 messages: new_messages,
679 max_tokens: max_output_tokens,
680 system: if system_message.is_empty() {
681 None
682 } else {
683 Some(anthropic::StringOrContents::String(system_message))
684 },
685 thinking: if request.thinking_allowed
686 && let AnthropicModelMode::Thinking { budget_tokens } = mode
687 {
688 Some(anthropic::Thinking::Enabled { budget_tokens })
689 } else {
690 None
691 },
692 tools: request
693 .tools
694 .into_iter()
695 .map(|tool| anthropic::Tool {
696 name: tool.name,
697 description: tool.description,
698 input_schema: tool.input_schema,
699 })
700 .collect(),
701 tool_choice: request.tool_choice.map(|choice| match choice {
702 LanguageModelToolChoice::Auto => anthropic::ToolChoice::Auto,
703 LanguageModelToolChoice::Any => anthropic::ToolChoice::Any,
704 LanguageModelToolChoice::None => anthropic::ToolChoice::None,
705 }),
706 metadata: None,
707 stop_sequences: Vec::new(),
708 temperature: request.temperature.or(Some(default_temperature)),
709 top_k: None,
710 top_p: None,
711 }
712}
713
714pub struct AnthropicEventMapper {
715 tool_uses_by_index: HashMap<usize, RawToolUse>,
716 usage: Usage,
717 stop_reason: StopReason,
718}
719
720impl AnthropicEventMapper {
721 pub fn new() -> Self {
722 Self {
723 tool_uses_by_index: HashMap::default(),
724 usage: Usage::default(),
725 stop_reason: StopReason::EndTurn,
726 }
727 }
728
729 pub fn map_stream(
730 mut self,
731 events: Pin<Box<dyn Send + Stream<Item = Result<Event, AnthropicError>>>>,
732 ) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>
733 {
734 events.flat_map(move |event| {
735 futures::stream::iter(match event {
736 Ok(event) => self.map_event(event),
737 Err(error) => vec![Err(error.into())],
738 })
739 })
740 }
741
742 pub fn map_event(
743 &mut self,
744 event: Event,
745 ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
746 match event {
747 Event::ContentBlockStart {
748 index,
749 content_block,
750 } => match content_block {
751 ResponseContent::Text { text } => {
752 vec![Ok(LanguageModelCompletionEvent::Text(text))]
753 }
754 ResponseContent::Thinking { thinking } => {
755 vec![Ok(LanguageModelCompletionEvent::Thinking {
756 text: thinking,
757 signature: None,
758 })]
759 }
760 ResponseContent::RedactedThinking { data } => {
761 vec![Ok(LanguageModelCompletionEvent::RedactedThinking { data })]
762 }
763 ResponseContent::ToolUse { id, name, .. } => {
764 self.tool_uses_by_index.insert(
765 index,
766 RawToolUse {
767 id,
768 name,
769 input_json: String::new(),
770 },
771 );
772 Vec::new()
773 }
774 },
775 Event::ContentBlockDelta { index, delta } => match delta {
776 ContentDelta::TextDelta { text } => {
777 vec![Ok(LanguageModelCompletionEvent::Text(text))]
778 }
779 ContentDelta::ThinkingDelta { thinking } => {
780 vec![Ok(LanguageModelCompletionEvent::Thinking {
781 text: thinking,
782 signature: None,
783 })]
784 }
785 ContentDelta::SignatureDelta { signature } => {
786 vec![Ok(LanguageModelCompletionEvent::Thinking {
787 text: "".to_string(),
788 signature: Some(signature),
789 })]
790 }
791 ContentDelta::InputJsonDelta { partial_json } => {
792 if let Some(tool_use) = self.tool_uses_by_index.get_mut(&index) {
793 tool_use.input_json.push_str(&partial_json);
794
795 // Try to convert invalid (incomplete) JSON into
796 // valid JSON that serde can accept, e.g. by closing
797 // unclosed delimiters. This way, we can update the
798 // UI with whatever has been streamed back so far.
799 if let Ok(input) = serde_json::Value::from_str(
800 &partial_json_fixer::fix_json(&tool_use.input_json),
801 ) {
802 return vec![Ok(LanguageModelCompletionEvent::ToolUse(
803 LanguageModelToolUse {
804 id: tool_use.id.clone().into(),
805 name: tool_use.name.clone().into(),
806 is_input_complete: false,
807 raw_input: tool_use.input_json.clone(),
808 input,
809 },
810 ))];
811 }
812 }
813 return vec![];
814 }
815 },
816 Event::ContentBlockStop { index } => {
817 if let Some(tool_use) = self.tool_uses_by_index.remove(&index) {
818 let input_json = tool_use.input_json.trim();
819 let input_value = if input_json.is_empty() {
820 Ok(serde_json::Value::Object(serde_json::Map::default()))
821 } else {
822 serde_json::Value::from_str(input_json)
823 };
824 let event_result = match input_value {
825 Ok(input) => Ok(LanguageModelCompletionEvent::ToolUse(
826 LanguageModelToolUse {
827 id: tool_use.id.into(),
828 name: tool_use.name.into(),
829 is_input_complete: true,
830 input,
831 raw_input: tool_use.input_json.clone(),
832 },
833 )),
834 Err(json_parse_err) => {
835 Ok(LanguageModelCompletionEvent::ToolUseJsonParseError {
836 id: tool_use.id.into(),
837 tool_name: tool_use.name.into(),
838 raw_input: input_json.into(),
839 json_parse_error: json_parse_err.to_string(),
840 })
841 }
842 };
843
844 vec![event_result]
845 } else {
846 Vec::new()
847 }
848 }
849 Event::MessageStart { message } => {
850 update_usage(&mut self.usage, &message.usage);
851 vec![
852 Ok(LanguageModelCompletionEvent::UsageUpdate(convert_usage(
853 &self.usage,
854 ))),
855 Ok(LanguageModelCompletionEvent::StartMessage {
856 message_id: message.id,
857 }),
858 ]
859 }
860 Event::MessageDelta { delta, usage } => {
861 update_usage(&mut self.usage, &usage);
862 if let Some(stop_reason) = delta.stop_reason.as_deref() {
863 self.stop_reason = match stop_reason {
864 "end_turn" => StopReason::EndTurn,
865 "max_tokens" => StopReason::MaxTokens,
866 "tool_use" => StopReason::ToolUse,
867 "refusal" => StopReason::Refusal,
868 _ => {
869 log::error!("Unexpected anthropic stop_reason: {stop_reason}");
870 StopReason::EndTurn
871 }
872 };
873 }
874 vec![Ok(LanguageModelCompletionEvent::UsageUpdate(
875 convert_usage(&self.usage),
876 ))]
877 }
878 Event::MessageStop => {
879 vec![Ok(LanguageModelCompletionEvent::Stop(self.stop_reason))]
880 }
881 Event::Error { error } => {
882 vec![Err(error.into())]
883 }
884 _ => Vec::new(),
885 }
886 }
887}
888
889struct RawToolUse {
890 id: String,
891 name: String,
892 input_json: String,
893}
894
895/// Updates usage data by preferring counts from `new`.
896fn update_usage(usage: &mut Usage, new: &Usage) {
897 if let Some(input_tokens) = new.input_tokens {
898 usage.input_tokens = Some(input_tokens);
899 }
900 if let Some(output_tokens) = new.output_tokens {
901 usage.output_tokens = Some(output_tokens);
902 }
903 if let Some(cache_creation_input_tokens) = new.cache_creation_input_tokens {
904 usage.cache_creation_input_tokens = Some(cache_creation_input_tokens);
905 }
906 if let Some(cache_read_input_tokens) = new.cache_read_input_tokens {
907 usage.cache_read_input_tokens = Some(cache_read_input_tokens);
908 }
909}
910
911fn convert_usage(usage: &Usage) -> language_model::TokenUsage {
912 language_model::TokenUsage {
913 input_tokens: usage.input_tokens.unwrap_or(0),
914 output_tokens: usage.output_tokens.unwrap_or(0),
915 cache_creation_input_tokens: usage.cache_creation_input_tokens.unwrap_or(0),
916 cache_read_input_tokens: usage.cache_read_input_tokens.unwrap_or(0),
917 }
918}
919
920struct ConfigurationView {
921 api_key_editor: Entity<Editor>,
922 state: gpui::Entity<State>,
923 load_credentials_task: Option<Task<()>>,
924}
925
926impl ConfigurationView {
927 const PLACEHOLDER_TEXT: &'static str = "sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx";
928
929 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
930 cx.observe(&state, |_, _, cx| {
931 cx.notify();
932 })
933 .detach();
934
935 let load_credentials_task = Some(cx.spawn({
936 let state = state.clone();
937 async move |this, cx| {
938 if let Some(task) = state
939 .update(cx, |state, cx| state.authenticate(cx))
940 .log_err()
941 {
942 // We don't log an error, because "not signed in" is also an error.
943 let _ = task.await;
944 }
945 this.update(cx, |this, cx| {
946 this.load_credentials_task = None;
947 cx.notify();
948 })
949 .log_err();
950 }
951 }));
952
953 Self {
954 api_key_editor: cx.new(|cx| {
955 let mut editor = Editor::single_line(window, cx);
956 editor.set_placeholder_text(Self::PLACEHOLDER_TEXT, cx);
957 editor
958 }),
959 state,
960 load_credentials_task,
961 }
962 }
963
964 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
965 let api_key = self.api_key_editor.read(cx).text(cx);
966 if api_key.is_empty() {
967 return;
968 }
969
970 let state = self.state.clone();
971 cx.spawn_in(window, async move |_, cx| {
972 state
973 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
974 .await
975 })
976 .detach_and_log_err(cx);
977
978 cx.notify();
979 }
980
981 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
982 self.api_key_editor
983 .update(cx, |editor, cx| editor.set_text("", window, cx));
984
985 let state = self.state.clone();
986 cx.spawn_in(window, async move |_, cx| {
987 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
988 })
989 .detach_and_log_err(cx);
990
991 cx.notify();
992 }
993
994 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
995 let settings = ThemeSettings::get_global(cx);
996 let text_style = TextStyle {
997 color: cx.theme().colors().text,
998 font_family: settings.ui_font.family.clone(),
999 font_features: settings.ui_font.features.clone(),
1000 font_fallbacks: settings.ui_font.fallbacks.clone(),
1001 font_size: rems(0.875).into(),
1002 font_weight: settings.ui_font.weight,
1003 font_style: FontStyle::Normal,
1004 line_height: relative(1.3),
1005 white_space: WhiteSpace::Normal,
1006 ..Default::default()
1007 };
1008 EditorElement::new(
1009 &self.api_key_editor,
1010 EditorStyle {
1011 background: cx.theme().colors().editor_background,
1012 local_player: cx.theme().players().local(),
1013 text: text_style,
1014 ..Default::default()
1015 },
1016 )
1017 }
1018
1019 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
1020 !self.state.read(cx).is_authenticated()
1021 }
1022}
1023
1024impl Render for ConfigurationView {
1025 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
1026 let env_var_set = self.state.read(cx).api_key_from_env;
1027
1028 if self.load_credentials_task.is_some() {
1029 div().child(Label::new("Loading credentials...")).into_any()
1030 } else if self.should_render_editor(cx) {
1031 v_flex()
1032 .size_full()
1033 .on_action(cx.listener(Self::save_api_key))
1034 .child(Label::new("To use Zed's agent with Anthropic, you need to add an API key. Follow these steps:"))
1035 .child(
1036 List::new()
1037 .child(
1038 InstructionListItem::new(
1039 "Create one by visiting",
1040 Some("Anthropic's settings"),
1041 Some("https://console.anthropic.com/settings/keys")
1042 )
1043 )
1044 .child(
1045 InstructionListItem::text_only("Paste your API key below and hit enter to start using the assistant")
1046 )
1047 )
1048 .child(
1049 h_flex()
1050 .w_full()
1051 .my_2()
1052 .px_2()
1053 .py_1()
1054 .bg(cx.theme().colors().editor_background)
1055 .border_1()
1056 .border_color(cx.theme().colors().border)
1057 .rounded_sm()
1058 .child(self.render_api_key_editor(cx)),
1059 )
1060 .child(
1061 Label::new(
1062 format!("You can also assign the {ANTHROPIC_API_KEY_VAR} environment variable and restart Zed."),
1063 )
1064 .size(LabelSize::Small)
1065 .color(Color::Muted),
1066 )
1067 .into_any()
1068 } else {
1069 h_flex()
1070 .mt_1()
1071 .p_1()
1072 .justify_between()
1073 .rounded_md()
1074 .border_1()
1075 .border_color(cx.theme().colors().border)
1076 .bg(cx.theme().colors().background)
1077 .child(
1078 h_flex()
1079 .gap_1()
1080 .child(Icon::new(IconName::Check).color(Color::Success))
1081 .child(Label::new(if env_var_set {
1082 format!("API key set in {ANTHROPIC_API_KEY_VAR} environment variable.")
1083 } else {
1084 "API key configured.".to_string()
1085 })),
1086 )
1087 .child(
1088 Button::new("reset-key", "Reset Key")
1089 .label_size(LabelSize::Small)
1090 .icon(Some(IconName::Trash))
1091 .icon_size(IconSize::Small)
1092 .icon_position(IconPosition::Start)
1093 .disabled(env_var_set)
1094 .when(env_var_set, |this| {
1095 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {ANTHROPIC_API_KEY_VAR} environment variable.")))
1096 })
1097 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
1098 )
1099 .into_any()
1100 }
1101 }
1102}
1103
1104#[cfg(test)]
1105mod tests {
1106 use super::*;
1107 use anthropic::AnthropicModelMode;
1108 use language_model::{LanguageModelRequestMessage, MessageContent};
1109
1110 #[test]
1111 fn test_cache_control_only_on_last_segment() {
1112 let request = LanguageModelRequest {
1113 messages: vec![LanguageModelRequestMessage {
1114 role: Role::User,
1115 content: vec![
1116 MessageContent::Text("Some prompt".to_string()),
1117 MessageContent::Image(language_model::LanguageModelImage::empty()),
1118 MessageContent::Image(language_model::LanguageModelImage::empty()),
1119 MessageContent::Image(language_model::LanguageModelImage::empty()),
1120 MessageContent::Image(language_model::LanguageModelImage::empty()),
1121 ],
1122 cache: true,
1123 }],
1124 thread_id: None,
1125 prompt_id: None,
1126 intent: None,
1127 mode: None,
1128 stop: vec![],
1129 temperature: None,
1130 tools: vec![],
1131 tool_choice: None,
1132 thinking_allowed: true,
1133 };
1134
1135 let anthropic_request = into_anthropic(
1136 request,
1137 "claude-3-5-sonnet".to_string(),
1138 0.7,
1139 4096,
1140 AnthropicModelMode::Default,
1141 );
1142
1143 assert_eq!(anthropic_request.messages.len(), 1);
1144
1145 let message = &anthropic_request.messages[0];
1146 assert_eq!(message.content.len(), 5);
1147
1148 assert!(matches!(
1149 message.content[0],
1150 anthropic::RequestContent::Text {
1151 cache_control: None,
1152 ..
1153 }
1154 ));
1155 for i in 1..3 {
1156 assert!(matches!(
1157 message.content[i],
1158 anthropic::RequestContent::Image {
1159 cache_control: None,
1160 ..
1161 }
1162 ));
1163 }
1164
1165 assert!(matches!(
1166 message.content[4],
1167 anthropic::RequestContent::Image {
1168 cache_control: Some(anthropic::CacheControl {
1169 cache_type: anthropic::CacheControlType::Ephemeral,
1170 }),
1171 ..
1172 }
1173 ));
1174 }
1175}