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