1use super::open_ai::count_open_ai_tokens;
2use crate::{
3 settings::AllLanguageModelSettings, CloudModel, LanguageModel, LanguageModelId,
4 LanguageModelName, LanguageModelProviderId, LanguageModelProviderName,
5 LanguageModelProviderState, LanguageModelRequest, RateLimiter, ZedModel,
6};
7use anyhow::{anyhow, Context as _, Result};
8use client::{Client, UserStore};
9use collections::BTreeMap;
10use futures::{future::BoxFuture, stream::BoxStream, FutureExt, StreamExt};
11use gpui::{
12 AnyView, AppContext, AsyncAppContext, FocusHandle, Model, ModelContext, Subscription, Task,
13};
14use schemars::JsonSchema;
15use serde::{Deserialize, Serialize};
16use settings::{Settings, SettingsStore};
17use std::{future, sync::Arc};
18use strum::IntoEnumIterator;
19use ui::prelude::*;
20
21use crate::LanguageModelProvider;
22
23use super::anthropic::count_anthropic_tokens;
24
25pub const PROVIDER_ID: &str = "zed.dev";
26pub const PROVIDER_NAME: &str = "Zed AI";
27
28#[derive(Default, Clone, Debug, PartialEq)]
29pub struct ZedDotDevSettings {
30 pub available_models: Vec<AvailableModel>,
31}
32
33#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
34#[serde(rename_all = "lowercase")]
35pub enum AvailableProvider {
36 Anthropic,
37 OpenAi,
38 Google,
39}
40
41#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
42pub struct AvailableModel {
43 provider: AvailableProvider,
44 name: String,
45 max_tokens: usize,
46 tool_override: Option<String>,
47}
48
49pub struct CloudLanguageModelProvider {
50 client: Arc<Client>,
51 state: gpui::Model<State>,
52 _maintain_client_status: Task<()>,
53}
54
55pub struct State {
56 client: Arc<Client>,
57 user_store: Model<UserStore>,
58 status: client::Status,
59 _subscription: Subscription,
60}
61
62impl State {
63 fn is_connected(&self) -> bool {
64 self.status.is_connected()
65 }
66
67 fn authenticate(&self, cx: &mut ModelContext<Self>) -> Task<Result<()>> {
68 let client = self.client.clone();
69 cx.spawn(move |this, mut cx| async move {
70 client.authenticate_and_connect(true, &cx).await?;
71 this.update(&mut cx, |_, cx| cx.notify())
72 })
73 }
74}
75
76impl CloudLanguageModelProvider {
77 pub fn new(user_store: Model<UserStore>, client: Arc<Client>, cx: &mut AppContext) -> Self {
78 let mut status_rx = client.status();
79 let status = *status_rx.borrow();
80
81 let state = cx.new_model(|cx| State {
82 client: client.clone(),
83 user_store,
84 status,
85 _subscription: cx.observe_global::<SettingsStore>(|_, cx| {
86 cx.notify();
87 }),
88 });
89
90 let state_ref = state.downgrade();
91 let maintain_client_status = cx.spawn(|mut cx| async move {
92 while let Some(status) = status_rx.next().await {
93 if let Some(this) = state_ref.upgrade() {
94 _ = this.update(&mut cx, |this, cx| {
95 if this.status != status {
96 this.status = status;
97 cx.notify();
98 }
99 });
100 } else {
101 break;
102 }
103 }
104 });
105
106 Self {
107 client,
108 state,
109 _maintain_client_status: maintain_client_status,
110 }
111 }
112}
113
114impl LanguageModelProviderState for CloudLanguageModelProvider {
115 type ObservableEntity = State;
116
117 fn observable_entity(&self) -> Option<gpui::Model<Self::ObservableEntity>> {
118 Some(self.state.clone())
119 }
120}
121
122impl LanguageModelProvider for CloudLanguageModelProvider {
123 fn id(&self) -> LanguageModelProviderId {
124 LanguageModelProviderId(PROVIDER_ID.into())
125 }
126
127 fn name(&self) -> LanguageModelProviderName {
128 LanguageModelProviderName(PROVIDER_NAME.into())
129 }
130
131 fn provided_models(&self, cx: &AppContext) -> Vec<Arc<dyn LanguageModel>> {
132 let mut models = BTreeMap::default();
133
134 for model in anthropic::Model::iter() {
135 if !matches!(model, anthropic::Model::Custom { .. }) {
136 models.insert(model.id().to_string(), CloudModel::Anthropic(model));
137 }
138 }
139 for model in open_ai::Model::iter() {
140 if !matches!(model, open_ai::Model::Custom { .. }) {
141 models.insert(model.id().to_string(), CloudModel::OpenAi(model));
142 }
143 }
144 for model in google_ai::Model::iter() {
145 if !matches!(model, google_ai::Model::Custom { .. }) {
146 models.insert(model.id().to_string(), CloudModel::Google(model));
147 }
148 }
149 for model in ZedModel::iter() {
150 models.insert(model.id().to_string(), CloudModel::Zed(model));
151 }
152
153 // Override with available models from settings
154 for model in &AllLanguageModelSettings::get_global(cx)
155 .zed_dot_dev
156 .available_models
157 {
158 let model = match model.provider {
159 AvailableProvider::Anthropic => CloudModel::Anthropic(anthropic::Model::Custom {
160 name: model.name.clone(),
161 max_tokens: model.max_tokens,
162 tool_override: model.tool_override.clone(),
163 }),
164 AvailableProvider::OpenAi => CloudModel::OpenAi(open_ai::Model::Custom {
165 name: model.name.clone(),
166 max_tokens: model.max_tokens,
167 }),
168 AvailableProvider::Google => CloudModel::Google(google_ai::Model::Custom {
169 name: model.name.clone(),
170 max_tokens: model.max_tokens,
171 }),
172 };
173 models.insert(model.id().to_string(), model.clone());
174 }
175
176 models
177 .into_values()
178 .map(|model| {
179 Arc::new(CloudLanguageModel {
180 id: LanguageModelId::from(model.id().to_string()),
181 model,
182 client: self.client.clone(),
183 request_limiter: RateLimiter::new(4),
184 }) as Arc<dyn LanguageModel>
185 })
186 .collect()
187 }
188
189 fn is_authenticated(&self, cx: &AppContext) -> bool {
190 self.state.read(cx).status.is_connected()
191 }
192
193 fn authenticate(&self, _cx: &mut AppContext) -> Task<Result<()>> {
194 Task::ready(Ok(()))
195 }
196
197 fn configuration_view(&self, cx: &mut WindowContext) -> (AnyView, Option<FocusHandle>) {
198 let view = cx
199 .new_view(|_cx| ConfigurationView {
200 state: self.state.clone(),
201 })
202 .into();
203 (view, None)
204 }
205
206 fn reset_credentials(&self, _cx: &mut AppContext) -> Task<Result<()>> {
207 Task::ready(Ok(()))
208 }
209}
210
211pub struct CloudLanguageModel {
212 id: LanguageModelId,
213 model: CloudModel,
214 client: Arc<Client>,
215 request_limiter: RateLimiter,
216}
217
218impl LanguageModel for CloudLanguageModel {
219 fn id(&self) -> LanguageModelId {
220 self.id.clone()
221 }
222
223 fn name(&self) -> LanguageModelName {
224 LanguageModelName::from(self.model.display_name().to_string())
225 }
226
227 fn provider_id(&self) -> LanguageModelProviderId {
228 LanguageModelProviderId(PROVIDER_ID.into())
229 }
230
231 fn provider_name(&self) -> LanguageModelProviderName {
232 LanguageModelProviderName(PROVIDER_NAME.into())
233 }
234
235 fn telemetry_id(&self) -> String {
236 format!("zed.dev/{}", self.model.id())
237 }
238
239 fn max_token_count(&self) -> usize {
240 self.model.max_token_count()
241 }
242
243 fn count_tokens(
244 &self,
245 request: LanguageModelRequest,
246 cx: &AppContext,
247 ) -> BoxFuture<'static, Result<usize>> {
248 match self.model.clone() {
249 CloudModel::Anthropic(_) => count_anthropic_tokens(request, cx),
250 CloudModel::OpenAi(model) => count_open_ai_tokens(request, model, cx),
251 CloudModel::Google(model) => {
252 let client = self.client.clone();
253 let request = request.into_google(model.id().into());
254 let request = google_ai::CountTokensRequest {
255 contents: request.contents,
256 };
257 async move {
258 let request = serde_json::to_string(&request)?;
259 let response = client
260 .request(proto::CountLanguageModelTokens {
261 provider: proto::LanguageModelProvider::Google as i32,
262 request,
263 })
264 .await?;
265 Ok(response.token_count as usize)
266 }
267 .boxed()
268 }
269 CloudModel::Zed(_) => {
270 count_open_ai_tokens(request, open_ai::Model::ThreePointFiveTurbo, cx)
271 }
272 }
273 }
274
275 fn stream_completion(
276 &self,
277 request: LanguageModelRequest,
278 _: &AsyncAppContext,
279 ) -> BoxFuture<'static, Result<BoxStream<'static, Result<String>>>> {
280 match &self.model {
281 CloudModel::Anthropic(model) => {
282 let client = self.client.clone();
283 let request = request.into_anthropic(model.id().into());
284 let future = self.request_limiter.stream(async move {
285 let request = serde_json::to_string(&request)?;
286 let stream = client
287 .request_stream(proto::StreamCompleteWithLanguageModel {
288 provider: proto::LanguageModelProvider::Anthropic as i32,
289 request,
290 })
291 .await?;
292 Ok(anthropic::extract_text_from_events(
293 stream.map(|item| Ok(serde_json::from_str(&item?.event)?)),
294 ))
295 });
296 async move { Ok(future.await?.boxed()) }.boxed()
297 }
298 CloudModel::OpenAi(model) => {
299 let client = self.client.clone();
300 let request = request.into_open_ai(model.id().into());
301 let future = self.request_limiter.stream(async move {
302 let request = serde_json::to_string(&request)?;
303 let stream = client
304 .request_stream(proto::StreamCompleteWithLanguageModel {
305 provider: proto::LanguageModelProvider::OpenAi as i32,
306 request,
307 })
308 .await?;
309 Ok(open_ai::extract_text_from_events(
310 stream.map(|item| Ok(serde_json::from_str(&item?.event)?)),
311 ))
312 });
313 async move { Ok(future.await?.boxed()) }.boxed()
314 }
315 CloudModel::Google(model) => {
316 let client = self.client.clone();
317 let request = request.into_google(model.id().into());
318 let future = self.request_limiter.stream(async move {
319 let request = serde_json::to_string(&request)?;
320 let stream = client
321 .request_stream(proto::StreamCompleteWithLanguageModel {
322 provider: proto::LanguageModelProvider::Google as i32,
323 request,
324 })
325 .await?;
326 Ok(google_ai::extract_text_from_events(
327 stream.map(|item| Ok(serde_json::from_str(&item?.event)?)),
328 ))
329 });
330 async move { Ok(future.await?.boxed()) }.boxed()
331 }
332 CloudModel::Zed(model) => {
333 let client = self.client.clone();
334 let mut request = request.into_open_ai(model.id().into());
335 request.max_tokens = Some(4000);
336 let future = self.request_limiter.stream(async move {
337 let request = serde_json::to_string(&request)?;
338 let stream = client
339 .request_stream(proto::StreamCompleteWithLanguageModel {
340 provider: proto::LanguageModelProvider::Zed as i32,
341 request,
342 })
343 .await?;
344 Ok(open_ai::extract_text_from_events(
345 stream.map(|item| Ok(serde_json::from_str(&item?.event)?)),
346 ))
347 });
348 async move { Ok(future.await?.boxed()) }.boxed()
349 }
350 }
351 }
352
353 fn use_any_tool(
354 &self,
355 request: LanguageModelRequest,
356 tool_name: String,
357 tool_description: String,
358 input_schema: serde_json::Value,
359 _cx: &AsyncAppContext,
360 ) -> BoxFuture<'static, Result<serde_json::Value>> {
361 match &self.model {
362 CloudModel::Anthropic(model) => {
363 let client = self.client.clone();
364 let mut request = request.into_anthropic(model.tool_model_id().into());
365 request.tool_choice = Some(anthropic::ToolChoice::Tool {
366 name: tool_name.clone(),
367 });
368 request.tools = vec![anthropic::Tool {
369 name: tool_name.clone(),
370 description: tool_description,
371 input_schema,
372 }];
373
374 self.request_limiter
375 .run(async move {
376 let request = serde_json::to_string(&request)?;
377 let response = client
378 .request(proto::CompleteWithLanguageModel {
379 provider: proto::LanguageModelProvider::Anthropic as i32,
380 request,
381 })
382 .await?;
383 let response: anthropic::Response =
384 serde_json::from_str(&response.completion)?;
385 response
386 .content
387 .into_iter()
388 .find_map(|content| {
389 if let anthropic::Content::ToolUse { name, input, .. } = content {
390 if name == tool_name {
391 Some(input)
392 } else {
393 None
394 }
395 } else {
396 None
397 }
398 })
399 .context("tool not used")
400 })
401 .boxed()
402 }
403 CloudModel::OpenAi(_) => {
404 future::ready(Err(anyhow!("tool use not implemented for OpenAI"))).boxed()
405 }
406 CloudModel::Google(_) => {
407 future::ready(Err(anyhow!("tool use not implemented for Google AI"))).boxed()
408 }
409 CloudModel::Zed(_) => {
410 future::ready(Err(anyhow!("tool use not implemented for Zed models"))).boxed()
411 }
412 }
413 }
414}
415
416struct ConfigurationView {
417 state: gpui::Model<State>,
418}
419
420impl ConfigurationView {
421 fn authenticate(&mut self, cx: &mut ViewContext<Self>) {
422 self.state.update(cx, |state, cx| {
423 state.authenticate(cx).detach_and_log_err(cx);
424 });
425 cx.notify();
426 }
427}
428
429impl Render for ConfigurationView {
430 fn render(&mut self, cx: &mut ViewContext<Self>) -> impl IntoElement {
431 const ZED_AI_URL: &str = "https://zed.dev/ai";
432 const ACCOUNT_SETTINGS_URL: &str = "https://zed.dev/account";
433
434 let is_connected = self.state.read(cx).is_connected();
435 let plan = self.state.read(cx).user_store.read(cx).current_plan();
436
437 let is_pro = plan == Some(proto::Plan::ZedPro);
438
439 if is_connected {
440 v_flex()
441 .gap_3()
442 .max_w_4_5()
443 .child(Label::new(
444 if is_pro {
445 "You have full access to Zed's hosted models from Anthropic, OpenAI, Google with faster speeds and higher limits through Zed Pro."
446 } else {
447 "You have basic access to models from Anthropic, OpenAI, Google and more through the Zed AI Free plan."
448 }))
449 .child(
450 if is_pro {
451 h_flex().child(
452 Button::new("manage_settings", "Manage Subscription")
453 .style(ButtonStyle::Filled)
454 .on_click(cx.listener(|_, _, cx| {
455 cx.open_url(ACCOUNT_SETTINGS_URL)
456 })))
457 } else {
458 h_flex()
459 .gap_2()
460 .child(
461 Button::new("learn_more", "Learn more")
462 .style(ButtonStyle::Subtle)
463 .on_click(cx.listener(|_, _, cx| {
464 cx.open_url(ZED_AI_URL)
465 })))
466 .child(
467 Button::new("upgrade", "Upgrade")
468 .style(ButtonStyle::Subtle)
469 .color(Color::Accent)
470 .on_click(cx.listener(|_, _, cx| {
471 cx.open_url(ACCOUNT_SETTINGS_URL)
472 })))
473 },
474 )
475 } else {
476 v_flex()
477 .gap_6()
478 .child(Label::new("Use the zed.dev to access language models."))
479 .child(
480 v_flex()
481 .gap_2()
482 .child(
483 Button::new("sign_in", "Sign in")
484 .icon_color(Color::Muted)
485 .icon(IconName::Github)
486 .icon_position(IconPosition::Start)
487 .style(ButtonStyle::Filled)
488 .full_width()
489 .on_click(cx.listener(move |this, _, cx| this.authenticate(cx))),
490 )
491 .child(
492 div().flex().w_full().items_center().child(
493 Label::new("Sign in to enable collaboration.")
494 .color(Color::Muted)
495 .size(LabelSize::Small),
496 ),
497 ),
498 )
499 }
500 }
501}