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, WrappedTextContent,
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: usize,
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<u32>,
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<usize>> {
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 | LanguageModelToolResultContent::WrappedText(WrappedTextContent {
355 text,
356 ..
357 }) => {
358 string_contents.push_str(text);
359 }
360 LanguageModelToolResultContent::Image(image) => {
361 tokens_from_images += image.estimate_tokens();
362 }
363 },
364 }
365 }
366
367 if !string_contents.is_empty() {
368 string_messages.push(tiktoken_rs::ChatCompletionRequestMessage {
369 role: match message.role {
370 Role::User => "user".into(),
371 Role::Assistant => "assistant".into(),
372 Role::System => "system".into(),
373 },
374 content: Some(string_contents),
375 name: None,
376 function_call: None,
377 });
378 }
379 }
380
381 // Tiktoken doesn't yet support these models, so we manually use the
382 // same tokenizer as GPT-4.
383 tiktoken_rs::num_tokens_from_messages("gpt-4", &string_messages)
384 .map(|tokens| tokens + tokens_from_images)
385 })
386 .boxed()
387}
388
389impl AnthropicModel {
390 fn stream_completion(
391 &self,
392 request: anthropic::Request,
393 cx: &AsyncApp,
394 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<anthropic::Event, AnthropicError>>>>
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"))).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.context("failed to stream completion")
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) -> usize {
457 self.model.max_token_count()
458 }
459
460 fn max_output_tokens(&self) -> Option<u32> {
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<usize>> {
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 >,
481 > {
482 let request = into_anthropic(
483 request,
484 self.model.request_id().into(),
485 self.model.default_temperature(),
486 self.model.max_output_tokens(),
487 self.model.mode(),
488 );
489 let request = self.stream_completion(request, cx);
490 let future = self.request_limiter.stream(async move {
491 let response = request
492 .await
493 .map_err(|err| match err.downcast::<AnthropicError>() {
494 Ok(anthropic_err) => anthropic_err_to_anyhow(anthropic_err),
495 Err(err) => anyhow!(err),
496 })?;
497 Ok(AnthropicEventMapper::new().map_stream(response))
498 });
499 async move { Ok(future.await?.boxed()) }.boxed()
500 }
501
502 fn cache_configuration(&self) -> Option<LanguageModelCacheConfiguration> {
503 self.model
504 .cache_configuration()
505 .map(|config| LanguageModelCacheConfiguration {
506 max_cache_anchors: config.max_cache_anchors,
507 should_speculate: config.should_speculate,
508 min_total_token: config.min_total_token,
509 })
510 }
511}
512
513pub fn into_anthropic(
514 request: LanguageModelRequest,
515 model: String,
516 default_temperature: f32,
517 max_output_tokens: u32,
518 mode: AnthropicModelMode,
519) -> anthropic::Request {
520 let mut new_messages: Vec<anthropic::Message> = Vec::new();
521 let mut system_message = String::new();
522
523 for message in request.messages {
524 if message.contents_empty() {
525 continue;
526 }
527
528 match message.role {
529 Role::User | Role::Assistant => {
530 let cache_control = if message.cache {
531 Some(anthropic::CacheControl {
532 cache_type: anthropic::CacheControlType::Ephemeral,
533 })
534 } else {
535 None
536 };
537 let anthropic_message_content: Vec<anthropic::RequestContent> = message
538 .content
539 .into_iter()
540 .filter_map(|content| match content {
541 MessageContent::Text(text) => {
542 if !text.is_empty() {
543 Some(anthropic::RequestContent::Text {
544 text,
545 cache_control,
546 })
547 } else {
548 None
549 }
550 }
551 MessageContent::Thinking {
552 text: thinking,
553 signature,
554 } => {
555 if !thinking.is_empty() {
556 Some(anthropic::RequestContent::Thinking {
557 thinking,
558 signature: signature.unwrap_or_default(),
559 cache_control,
560 })
561 } else {
562 None
563 }
564 }
565 MessageContent::RedactedThinking(data) => {
566 if !data.is_empty() {
567 Some(anthropic::RequestContent::RedactedThinking {
568 data: String::from_utf8(data).ok()?,
569 })
570 } else {
571 None
572 }
573 }
574 MessageContent::Image(image) => Some(anthropic::RequestContent::Image {
575 source: anthropic::ImageSource {
576 source_type: "base64".to_string(),
577 media_type: "image/png".to_string(),
578 data: image.source.to_string(),
579 },
580 cache_control,
581 }),
582 MessageContent::ToolUse(tool_use) => {
583 Some(anthropic::RequestContent::ToolUse {
584 id: tool_use.id.to_string(),
585 name: tool_use.name.to_string(),
586 input: tool_use.input,
587 cache_control,
588 })
589 }
590 MessageContent::ToolResult(tool_result) => {
591 Some(anthropic::RequestContent::ToolResult {
592 tool_use_id: tool_result.tool_use_id.to_string(),
593 is_error: tool_result.is_error,
594 content: match tool_result.content {
595 LanguageModelToolResultContent::Text(text)
596 | LanguageModelToolResultContent::WrappedText(
597 WrappedTextContent { text, .. },
598 ) => ToolResultContent::Plain(text.to_string()),
599 LanguageModelToolResultContent::Image(image) => {
600 ToolResultContent::Multipart(vec![ToolResultPart::Image {
601 source: anthropic::ImageSource {
602 source_type: "base64".to_string(),
603 media_type: "image/png".to_string(),
604 data: image.source.to_string(),
605 },
606 }])
607 }
608 },
609 cache_control,
610 })
611 }
612 })
613 .collect();
614 let anthropic_role = match message.role {
615 Role::User => anthropic::Role::User,
616 Role::Assistant => anthropic::Role::Assistant,
617 Role::System => unreachable!("System role should never occur here"),
618 };
619 if let Some(last_message) = new_messages.last_mut() {
620 if last_message.role == anthropic_role {
621 last_message.content.extend(anthropic_message_content);
622 continue;
623 }
624 }
625 new_messages.push(anthropic::Message {
626 role: anthropic_role,
627 content: anthropic_message_content,
628 });
629 }
630 Role::System => {
631 if !system_message.is_empty() {
632 system_message.push_str("\n\n");
633 }
634 system_message.push_str(&message.string_contents());
635 }
636 }
637 }
638
639 anthropic::Request {
640 model,
641 messages: new_messages,
642 max_tokens: max_output_tokens,
643 system: if system_message.is_empty() {
644 None
645 } else {
646 Some(anthropic::StringOrContents::String(system_message))
647 },
648 thinking: if let AnthropicModelMode::Thinking { budget_tokens } = mode {
649 Some(anthropic::Thinking::Enabled { budget_tokens })
650 } else {
651 None
652 },
653 tools: request
654 .tools
655 .into_iter()
656 .map(|tool| anthropic::Tool {
657 name: tool.name,
658 description: tool.description,
659 input_schema: tool.input_schema,
660 })
661 .collect(),
662 tool_choice: request.tool_choice.map(|choice| match choice {
663 LanguageModelToolChoice::Auto => anthropic::ToolChoice::Auto,
664 LanguageModelToolChoice::Any => anthropic::ToolChoice::Any,
665 LanguageModelToolChoice::None => anthropic::ToolChoice::None,
666 }),
667 metadata: None,
668 stop_sequences: Vec::new(),
669 temperature: request.temperature.or(Some(default_temperature)),
670 top_k: None,
671 top_p: None,
672 }
673}
674
675pub struct AnthropicEventMapper {
676 tool_uses_by_index: HashMap<usize, RawToolUse>,
677 usage: Usage,
678 stop_reason: StopReason,
679}
680
681impl AnthropicEventMapper {
682 pub fn new() -> Self {
683 Self {
684 tool_uses_by_index: HashMap::default(),
685 usage: Usage::default(),
686 stop_reason: StopReason::EndTurn,
687 }
688 }
689
690 pub fn map_stream(
691 mut self,
692 events: Pin<Box<dyn Send + Stream<Item = Result<Event, AnthropicError>>>>,
693 ) -> impl Stream<Item = Result<LanguageModelCompletionEvent, LanguageModelCompletionError>>
694 {
695 events.flat_map(move |event| {
696 futures::stream::iter(match event {
697 Ok(event) => self.map_event(event),
698 Err(error) => vec![Err(LanguageModelCompletionError::Other(anyhow!(error)))],
699 })
700 })
701 }
702
703 pub fn map_event(
704 &mut self,
705 event: Event,
706 ) -> Vec<Result<LanguageModelCompletionEvent, LanguageModelCompletionError>> {
707 match event {
708 Event::ContentBlockStart {
709 index,
710 content_block,
711 } => match content_block {
712 ResponseContent::Text { text } => {
713 vec![Ok(LanguageModelCompletionEvent::Text(text))]
714 }
715 ResponseContent::Thinking { thinking } => {
716 vec![Ok(LanguageModelCompletionEvent::Thinking {
717 text: thinking,
718 signature: None,
719 })]
720 }
721 ResponseContent::RedactedThinking { .. } => {
722 // Redacted thinking is encrypted and not accessible to the user, see:
723 // https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking#suggestions-for-handling-redacted-thinking-in-production
724 Vec::new()
725 }
726 ResponseContent::ToolUse { id, name, .. } => {
727 self.tool_uses_by_index.insert(
728 index,
729 RawToolUse {
730 id,
731 name,
732 input_json: String::new(),
733 },
734 );
735 Vec::new()
736 }
737 },
738 Event::ContentBlockDelta { index, delta } => match delta {
739 ContentDelta::TextDelta { text } => {
740 vec![Ok(LanguageModelCompletionEvent::Text(text))]
741 }
742 ContentDelta::ThinkingDelta { thinking } => {
743 vec![Ok(LanguageModelCompletionEvent::Thinking {
744 text: thinking,
745 signature: None,
746 })]
747 }
748 ContentDelta::SignatureDelta { signature } => {
749 vec![Ok(LanguageModelCompletionEvent::Thinking {
750 text: "".to_string(),
751 signature: Some(signature),
752 })]
753 }
754 ContentDelta::InputJsonDelta { partial_json } => {
755 if let Some(tool_use) = self.tool_uses_by_index.get_mut(&index) {
756 tool_use.input_json.push_str(&partial_json);
757
758 // Try to convert invalid (incomplete) JSON into
759 // valid JSON that serde can accept, e.g. by closing
760 // unclosed delimiters. This way, we can update the
761 // UI with whatever has been streamed back so far.
762 if let Ok(input) = serde_json::Value::from_str(
763 &partial_json_fixer::fix_json(&tool_use.input_json),
764 ) {
765 return vec![Ok(LanguageModelCompletionEvent::ToolUse(
766 LanguageModelToolUse {
767 id: tool_use.id.clone().into(),
768 name: tool_use.name.clone().into(),
769 is_input_complete: false,
770 raw_input: tool_use.input_json.clone(),
771 input,
772 },
773 ))];
774 }
775 }
776 return vec![];
777 }
778 },
779 Event::ContentBlockStop { index } => {
780 if let Some(tool_use) = self.tool_uses_by_index.remove(&index) {
781 let input_json = tool_use.input_json.trim();
782 let input_value = if input_json.is_empty() {
783 Ok(serde_json::Value::Object(serde_json::Map::default()))
784 } else {
785 serde_json::Value::from_str(input_json)
786 };
787 let event_result = match input_value {
788 Ok(input) => Ok(LanguageModelCompletionEvent::ToolUse(
789 LanguageModelToolUse {
790 id: tool_use.id.into(),
791 name: tool_use.name.into(),
792 is_input_complete: true,
793 input,
794 raw_input: tool_use.input_json.clone(),
795 },
796 )),
797 Err(json_parse_err) => Err(LanguageModelCompletionError::BadInputJson {
798 id: tool_use.id.into(),
799 tool_name: tool_use.name.into(),
800 raw_input: input_json.into(),
801 json_parse_error: json_parse_err.to_string(),
802 }),
803 };
804
805 vec![event_result]
806 } else {
807 Vec::new()
808 }
809 }
810 Event::MessageStart { message } => {
811 update_usage(&mut self.usage, &message.usage);
812 vec![
813 Ok(LanguageModelCompletionEvent::UsageUpdate(convert_usage(
814 &self.usage,
815 ))),
816 Ok(LanguageModelCompletionEvent::StartMessage {
817 message_id: message.id,
818 }),
819 ]
820 }
821 Event::MessageDelta { delta, usage } => {
822 update_usage(&mut self.usage, &usage);
823 if let Some(stop_reason) = delta.stop_reason.as_deref() {
824 self.stop_reason = match stop_reason {
825 "end_turn" => StopReason::EndTurn,
826 "max_tokens" => StopReason::MaxTokens,
827 "tool_use" => StopReason::ToolUse,
828 _ => {
829 log::error!("Unexpected anthropic stop_reason: {stop_reason}");
830 StopReason::EndTurn
831 }
832 };
833 }
834 vec![Ok(LanguageModelCompletionEvent::UsageUpdate(
835 convert_usage(&self.usage),
836 ))]
837 }
838 Event::MessageStop => {
839 vec![Ok(LanguageModelCompletionEvent::Stop(self.stop_reason))]
840 }
841 Event::Error { error } => {
842 vec![Err(LanguageModelCompletionError::Other(anyhow!(
843 AnthropicError::ApiError(error)
844 )))]
845 }
846 _ => Vec::new(),
847 }
848 }
849}
850
851struct RawToolUse {
852 id: String,
853 name: String,
854 input_json: String,
855}
856
857pub fn anthropic_err_to_anyhow(err: AnthropicError) -> anyhow::Error {
858 if let AnthropicError::ApiError(api_err) = &err {
859 if let Some(tokens) = api_err.match_window_exceeded() {
860 return anyhow!(LanguageModelKnownError::ContextWindowLimitExceeded { tokens });
861 }
862 }
863
864 anyhow!(err)
865}
866
867/// Updates usage data by preferring counts from `new`.
868fn update_usage(usage: &mut Usage, new: &Usage) {
869 if let Some(input_tokens) = new.input_tokens {
870 usage.input_tokens = Some(input_tokens);
871 }
872 if let Some(output_tokens) = new.output_tokens {
873 usage.output_tokens = Some(output_tokens);
874 }
875 if let Some(cache_creation_input_tokens) = new.cache_creation_input_tokens {
876 usage.cache_creation_input_tokens = Some(cache_creation_input_tokens);
877 }
878 if let Some(cache_read_input_tokens) = new.cache_read_input_tokens {
879 usage.cache_read_input_tokens = Some(cache_read_input_tokens);
880 }
881}
882
883fn convert_usage(usage: &Usage) -> language_model::TokenUsage {
884 language_model::TokenUsage {
885 input_tokens: usage.input_tokens.unwrap_or(0),
886 output_tokens: usage.output_tokens.unwrap_or(0),
887 cache_creation_input_tokens: usage.cache_creation_input_tokens.unwrap_or(0),
888 cache_read_input_tokens: usage.cache_read_input_tokens.unwrap_or(0),
889 }
890}
891
892struct ConfigurationView {
893 api_key_editor: Entity<Editor>,
894 state: gpui::Entity<State>,
895 load_credentials_task: Option<Task<()>>,
896}
897
898impl ConfigurationView {
899 const PLACEHOLDER_TEXT: &'static str = "sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx";
900
901 fn new(state: gpui::Entity<State>, window: &mut Window, cx: &mut Context<Self>) -> Self {
902 cx.observe(&state, |_, _, cx| {
903 cx.notify();
904 })
905 .detach();
906
907 let load_credentials_task = Some(cx.spawn({
908 let state = state.clone();
909 async move |this, cx| {
910 if let Some(task) = state
911 .update(cx, |state, cx| state.authenticate(cx))
912 .log_err()
913 {
914 // We don't log an error, because "not signed in" is also an error.
915 let _ = task.await;
916 }
917 this.update(cx, |this, cx| {
918 this.load_credentials_task = None;
919 cx.notify();
920 })
921 .log_err();
922 }
923 }));
924
925 Self {
926 api_key_editor: cx.new(|cx| {
927 let mut editor = Editor::single_line(window, cx);
928 editor.set_placeholder_text(Self::PLACEHOLDER_TEXT, cx);
929 editor
930 }),
931 state,
932 load_credentials_task,
933 }
934 }
935
936 fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {
937 let api_key = self.api_key_editor.read(cx).text(cx);
938 if api_key.is_empty() {
939 return;
940 }
941
942 let state = self.state.clone();
943 cx.spawn_in(window, async move |_, cx| {
944 state
945 .update(cx, |state, cx| state.set_api_key(api_key, cx))?
946 .await
947 })
948 .detach_and_log_err(cx);
949
950 cx.notify();
951 }
952
953 fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {
954 self.api_key_editor
955 .update(cx, |editor, cx| editor.set_text("", window, cx));
956
957 let state = self.state.clone();
958 cx.spawn_in(window, async move |_, cx| {
959 state.update(cx, |state, cx| state.reset_api_key(cx))?.await
960 })
961 .detach_and_log_err(cx);
962
963 cx.notify();
964 }
965
966 fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {
967 let settings = ThemeSettings::get_global(cx);
968 let text_style = TextStyle {
969 color: cx.theme().colors().text,
970 font_family: settings.ui_font.family.clone(),
971 font_features: settings.ui_font.features.clone(),
972 font_fallbacks: settings.ui_font.fallbacks.clone(),
973 font_size: rems(0.875).into(),
974 font_weight: settings.ui_font.weight,
975 font_style: FontStyle::Normal,
976 line_height: relative(1.3),
977 white_space: WhiteSpace::Normal,
978 ..Default::default()
979 };
980 EditorElement::new(
981 &self.api_key_editor,
982 EditorStyle {
983 background: cx.theme().colors().editor_background,
984 local_player: cx.theme().players().local(),
985 text: text_style,
986 ..Default::default()
987 },
988 )
989 }
990
991 fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {
992 !self.state.read(cx).is_authenticated()
993 }
994}
995
996impl Render for ConfigurationView {
997 fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {
998 let env_var_set = self.state.read(cx).api_key_from_env;
999
1000 if self.load_credentials_task.is_some() {
1001 div().child(Label::new("Loading credentials...")).into_any()
1002 } else if self.should_render_editor(cx) {
1003 v_flex()
1004 .size_full()
1005 .on_action(cx.listener(Self::save_api_key))
1006 .child(Label::new("To use Zed's assistant with Anthropic, you need to add an API key. Follow these steps:"))
1007 .child(
1008 List::new()
1009 .child(
1010 InstructionListItem::new(
1011 "Create one by visiting",
1012 Some("Anthropic's settings"),
1013 Some("https://console.anthropic.com/settings/keys")
1014 )
1015 )
1016 .child(
1017 InstructionListItem::text_only("Paste your API key below and hit enter to start using the assistant")
1018 )
1019 )
1020 .child(
1021 h_flex()
1022 .w_full()
1023 .my_2()
1024 .px_2()
1025 .py_1()
1026 .bg(cx.theme().colors().editor_background)
1027 .border_1()
1028 .border_color(cx.theme().colors().border)
1029 .rounded_sm()
1030 .child(self.render_api_key_editor(cx)),
1031 )
1032 .child(
1033 Label::new(
1034 format!("You can also assign the {ANTHROPIC_API_KEY_VAR} environment variable and restart Zed."),
1035 )
1036 .size(LabelSize::Small)
1037 .color(Color::Muted),
1038 )
1039 .into_any()
1040 } else {
1041 h_flex()
1042 .mt_1()
1043 .p_1()
1044 .justify_between()
1045 .rounded_md()
1046 .border_1()
1047 .border_color(cx.theme().colors().border)
1048 .bg(cx.theme().colors().background)
1049 .child(
1050 h_flex()
1051 .gap_1()
1052 .child(Icon::new(IconName::Check).color(Color::Success))
1053 .child(Label::new(if env_var_set {
1054 format!("API key set in {ANTHROPIC_API_KEY_VAR} environment variable.")
1055 } else {
1056 "API key configured.".to_string()
1057 })),
1058 )
1059 .child(
1060 Button::new("reset-key", "Reset Key")
1061 .label_size(LabelSize::Small)
1062 .icon(Some(IconName::Trash))
1063 .icon_size(IconSize::Small)
1064 .icon_position(IconPosition::Start)
1065 .disabled(env_var_set)
1066 .when(env_var_set, |this| {
1067 this.tooltip(Tooltip::text(format!("To reset your API key, unset the {ANTHROPIC_API_KEY_VAR} environment variable.")))
1068 })
1069 .on_click(cx.listener(|this, _, window, cx| this.reset_api_key(window, cx))),
1070 )
1071 .into_any()
1072 }
1073 }
1074}