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