1mod authorization;
2pub mod db;
3mod token;
4
5use crate::api::CloudflareIpCountryHeader;
6use crate::api::events::SnowflakeRow;
7use crate::build_kinesis_client;
8use crate::rpc::MIN_ACCOUNT_AGE_FOR_LLM_USE;
9use crate::{Cents, Config, Error, Result, db::UserId, executor::Executor};
10use anyhow::{Context as _, anyhow};
11use authorization::authorize_access_to_language_model;
12use axum::routing::get;
13use axum::{
14 Extension, Json, Router, TypedHeader,
15 body::Body,
16 http::{self, HeaderName, HeaderValue, Request, StatusCode},
17 middleware::{self, Next},
18 response::{IntoResponse, Response},
19 routing::post,
20};
21use chrono::{DateTime, Duration, Utc};
22use collections::HashMap;
23use db::TokenUsage;
24use db::{ActiveUserCount, LlmDatabase, usage_measure::UsageMeasure};
25use futures::{Stream, StreamExt as _};
26use reqwest_client::ReqwestClient;
27use rpc::{
28 EXPIRED_LLM_TOKEN_HEADER_NAME, LanguageModelProvider, PerformCompletionParams, proto::Plan,
29};
30use rpc::{ListModelsResponse, MAX_LLM_MONTHLY_SPEND_REACHED_HEADER_NAME};
31use serde_json::json;
32use std::{
33 pin::Pin,
34 sync::Arc,
35 task::{Context, Poll},
36};
37use strum::IntoEnumIterator;
38use tokio::sync::RwLock;
39use util::ResultExt;
40
41pub use token::*;
42
43const ACTIVE_USER_COUNT_CACHE_DURATION: Duration = Duration::seconds(30);
44
45pub struct LlmState {
46 pub config: Config,
47 pub executor: Executor,
48 pub db: Arc<LlmDatabase>,
49 pub http_client: ReqwestClient,
50 pub kinesis_client: Option<aws_sdk_kinesis::Client>,
51 active_user_count_by_model:
52 RwLock<HashMap<(LanguageModelProvider, String), (DateTime<Utc>, ActiveUserCount)>>,
53}
54
55impl LlmState {
56 pub async fn new(config: Config, executor: Executor) -> Result<Arc<Self>> {
57 let database_url = config
58 .llm_database_url
59 .as_ref()
60 .ok_or_else(|| anyhow!("missing LLM_DATABASE_URL"))?;
61 let max_connections = config
62 .llm_database_max_connections
63 .ok_or_else(|| anyhow!("missing LLM_DATABASE_MAX_CONNECTIONS"))?;
64
65 let mut db_options = db::ConnectOptions::new(database_url);
66 db_options.max_connections(max_connections);
67 let mut db = LlmDatabase::new(db_options, executor.clone()).await?;
68 db.initialize().await?;
69
70 let db = Arc::new(db);
71
72 let user_agent = format!("Zed Server/{}", env!("CARGO_PKG_VERSION"));
73 let http_client =
74 ReqwestClient::user_agent(&user_agent).context("failed to construct http client")?;
75
76 let this = Self {
77 executor,
78 db,
79 http_client,
80 kinesis_client: if config.kinesis_access_key.is_some() {
81 build_kinesis_client(&config).await.log_err()
82 } else {
83 None
84 },
85 active_user_count_by_model: RwLock::new(HashMap::default()),
86 config,
87 };
88
89 Ok(Arc::new(this))
90 }
91
92 pub async fn get_active_user_count(
93 &self,
94 provider: LanguageModelProvider,
95 model: &str,
96 ) -> Result<ActiveUserCount> {
97 let now = Utc::now();
98
99 {
100 let active_user_count_by_model = self.active_user_count_by_model.read().await;
101 if let Some((last_updated, count)) =
102 active_user_count_by_model.get(&(provider, model.to_string()))
103 {
104 if now - *last_updated < ACTIVE_USER_COUNT_CACHE_DURATION {
105 return Ok(*count);
106 }
107 }
108 }
109
110 let mut cache = self.active_user_count_by_model.write().await;
111 let new_count = self.db.get_active_user_count(provider, model, now).await?;
112 cache.insert((provider, model.to_string()), (now, new_count));
113 Ok(new_count)
114 }
115}
116
117pub fn routes() -> Router<(), Body> {
118 Router::new()
119 .route("/models", get(list_models))
120 .route("/completion", post(perform_completion))
121 .layer(middleware::from_fn(validate_api_token))
122}
123
124async fn validate_api_token<B>(mut req: Request<B>, next: Next<B>) -> impl IntoResponse {
125 let token = req
126 .headers()
127 .get(http::header::AUTHORIZATION)
128 .and_then(|header| header.to_str().ok())
129 .ok_or_else(|| {
130 Error::http(
131 StatusCode::BAD_REQUEST,
132 "missing authorization header".to_string(),
133 )
134 })?
135 .strip_prefix("Bearer ")
136 .ok_or_else(|| {
137 Error::http(
138 StatusCode::BAD_REQUEST,
139 "invalid authorization header".to_string(),
140 )
141 })?;
142
143 let state = req.extensions().get::<Arc<LlmState>>().unwrap();
144 match LlmTokenClaims::validate(token, &state.config) {
145 Ok(claims) => {
146 if state.db.is_access_token_revoked(&claims.jti).await? {
147 return Err(Error::http(
148 StatusCode::UNAUTHORIZED,
149 "unauthorized".to_string(),
150 ));
151 }
152
153 tracing::Span::current()
154 .record("user_id", claims.user_id)
155 .record("login", claims.github_user_login.clone())
156 .record("authn.jti", &claims.jti)
157 .record("is_staff", claims.is_staff);
158
159 req.extensions_mut().insert(claims);
160 Ok::<_, Error>(next.run(req).await.into_response())
161 }
162 Err(ValidateLlmTokenError::Expired) => Err(Error::Http(
163 StatusCode::UNAUTHORIZED,
164 "unauthorized".to_string(),
165 [(
166 HeaderName::from_static(EXPIRED_LLM_TOKEN_HEADER_NAME),
167 HeaderValue::from_static("true"),
168 )]
169 .into_iter()
170 .collect(),
171 )),
172 Err(_err) => Err(Error::http(
173 StatusCode::UNAUTHORIZED,
174 "unauthorized".to_string(),
175 )),
176 }
177}
178
179async fn list_models(
180 Extension(state): Extension<Arc<LlmState>>,
181 Extension(claims): Extension<LlmTokenClaims>,
182 country_code_header: Option<TypedHeader<CloudflareIpCountryHeader>>,
183) -> Result<Json<ListModelsResponse>> {
184 let country_code = country_code_header.map(|header| header.to_string());
185
186 let mut accessible_models = Vec::new();
187
188 for (provider, model) in state.db.all_models() {
189 let authorize_result = authorize_access_to_language_model(
190 &state.config,
191 &claims,
192 country_code.as_deref(),
193 provider,
194 &model.name,
195 );
196
197 if authorize_result.is_ok() {
198 accessible_models.push(rpc::LanguageModel {
199 provider,
200 name: model.name,
201 });
202 }
203 }
204
205 Ok(Json(ListModelsResponse {
206 models: accessible_models,
207 }))
208}
209
210async fn perform_completion(
211 Extension(state): Extension<Arc<LlmState>>,
212 Extension(claims): Extension<LlmTokenClaims>,
213 country_code_header: Option<TypedHeader<CloudflareIpCountryHeader>>,
214 Json(params): Json<PerformCompletionParams>,
215) -> Result<impl IntoResponse> {
216 let model = normalize_model_name(
217 state.db.model_names_for_provider(params.provider),
218 params.model,
219 );
220
221 let bypass_account_age_check = claims.has_llm_subscription || claims.bypass_account_age_check;
222 if !bypass_account_age_check {
223 if Utc::now().naive_utc() - claims.account_created_at < MIN_ACCOUNT_AGE_FOR_LLM_USE {
224 Err(anyhow!("account too young"))?
225 }
226 }
227
228 authorize_access_to_language_model(
229 &state.config,
230 &claims,
231 country_code_header
232 .map(|header| header.to_string())
233 .as_deref(),
234 params.provider,
235 &model,
236 )?;
237
238 check_usage_limit(&state, params.provider, &model, &claims).await?;
239
240 let stream = match params.provider {
241 LanguageModelProvider::Anthropic => {
242 let api_key = if claims.is_staff {
243 state
244 .config
245 .anthropic_staff_api_key
246 .as_ref()
247 .context("no Anthropic AI staff API key configured on the server")?
248 } else {
249 state
250 .config
251 .anthropic_api_key
252 .as_ref()
253 .context("no Anthropic AI API key configured on the server")?
254 };
255
256 let mut request: anthropic::Request =
257 serde_json::from_str(params.provider_request.get())?;
258
259 // Override the model on the request with the latest version of the model that is
260 // known to the server.
261 //
262 // Right now, we use the version that's defined in `model.id()`, but we will likely
263 // want to change this code once a new version of an Anthropic model is released,
264 // so that users can use the new version, without having to update Zed.
265 request.model = match model.as_str() {
266 "claude-3-5-sonnet" => anthropic::Model::Claude3_5Sonnet.id().to_string(),
267 "claude-3-7-sonnet" => anthropic::Model::Claude3_7Sonnet.id().to_string(),
268 "claude-3-opus" => anthropic::Model::Claude3Opus.id().to_string(),
269 "claude-3-haiku" => anthropic::Model::Claude3Haiku.id().to_string(),
270 "claude-3-sonnet" => anthropic::Model::Claude3Sonnet.id().to_string(),
271 _ => request.model,
272 };
273
274 let (chunks, rate_limit_info) = anthropic::stream_completion_with_rate_limit_info(
275 &state.http_client,
276 anthropic::ANTHROPIC_API_URL,
277 api_key,
278 request,
279 )
280 .await
281 .map_err(|err| match err {
282 anthropic::AnthropicError::ApiError(ref api_error) => match api_error.code() {
283 Some(anthropic::ApiErrorCode::RateLimitError) => {
284 tracing::info!(
285 target: "upstream rate limit exceeded",
286 user_id = claims.user_id,
287 login = claims.github_user_login,
288 authn.jti = claims.jti,
289 is_staff = claims.is_staff,
290 provider = params.provider.to_string(),
291 model = model
292 );
293
294 Error::http(
295 StatusCode::TOO_MANY_REQUESTS,
296 "Upstream Anthropic rate limit exceeded.".to_string(),
297 )
298 }
299 Some(anthropic::ApiErrorCode::InvalidRequestError) => {
300 Error::http(StatusCode::BAD_REQUEST, api_error.message.clone())
301 }
302 Some(anthropic::ApiErrorCode::OverloadedError) => {
303 Error::http(StatusCode::SERVICE_UNAVAILABLE, api_error.message.clone())
304 }
305 Some(_) => {
306 Error::http(StatusCode::INTERNAL_SERVER_ERROR, api_error.message.clone())
307 }
308 None => Error::Internal(anyhow!(err)),
309 },
310 anthropic::AnthropicError::Other(err) => Error::Internal(err),
311 })?;
312
313 if let Some(rate_limit_info) = rate_limit_info {
314 tracing::info!(
315 target: "upstream rate limit",
316 is_staff = claims.is_staff,
317 provider = params.provider.to_string(),
318 model = model,
319 tokens_remaining = rate_limit_info.tokens_remaining,
320 requests_remaining = rate_limit_info.requests_remaining,
321 requests_reset = ?rate_limit_info.requests_reset,
322 tokens_reset = ?rate_limit_info.tokens_reset,
323 );
324 }
325
326 chunks
327 .map(move |event| {
328 let chunk = event?;
329 let (
330 input_tokens,
331 output_tokens,
332 cache_creation_input_tokens,
333 cache_read_input_tokens,
334 ) = match &chunk {
335 anthropic::Event::MessageStart {
336 message: anthropic::Response { usage, .. },
337 }
338 | anthropic::Event::MessageDelta { usage, .. } => (
339 usage.input_tokens.unwrap_or(0) as usize,
340 usage.output_tokens.unwrap_or(0) as usize,
341 usage.cache_creation_input_tokens.unwrap_or(0) as usize,
342 usage.cache_read_input_tokens.unwrap_or(0) as usize,
343 ),
344 _ => (0, 0, 0, 0),
345 };
346
347 anyhow::Ok(CompletionChunk {
348 bytes: serde_json::to_vec(&chunk).unwrap(),
349 input_tokens,
350 output_tokens,
351 cache_creation_input_tokens,
352 cache_read_input_tokens,
353 })
354 })
355 .boxed()
356 }
357 LanguageModelProvider::OpenAi => {
358 let api_key = state
359 .config
360 .openai_api_key
361 .as_ref()
362 .context("no OpenAI API key configured on the server")?;
363 let chunks = open_ai::stream_completion(
364 &state.http_client,
365 open_ai::OPEN_AI_API_URL,
366 api_key,
367 serde_json::from_str(params.provider_request.get())?,
368 )
369 .await?;
370
371 chunks
372 .map(|event| {
373 event.map(|chunk| {
374 let input_tokens =
375 chunk.usage.as_ref().map_or(0, |u| u.prompt_tokens) as usize;
376 let output_tokens =
377 chunk.usage.as_ref().map_or(0, |u| u.completion_tokens) as usize;
378 CompletionChunk {
379 bytes: serde_json::to_vec(&chunk).unwrap(),
380 input_tokens,
381 output_tokens,
382 cache_creation_input_tokens: 0,
383 cache_read_input_tokens: 0,
384 }
385 })
386 })
387 .boxed()
388 }
389 LanguageModelProvider::Google => {
390 let api_key = state
391 .config
392 .google_ai_api_key
393 .as_ref()
394 .context("no Google AI API key configured on the server")?;
395 let chunks = google_ai::stream_generate_content(
396 &state.http_client,
397 google_ai::API_URL,
398 api_key,
399 serde_json::from_str(params.provider_request.get())?,
400 )
401 .await?;
402
403 chunks
404 .map(|event| {
405 event.map(|chunk| {
406 // TODO - implement token counting for Google AI
407 CompletionChunk {
408 bytes: serde_json::to_vec(&chunk).unwrap(),
409 input_tokens: 0,
410 output_tokens: 0,
411 cache_creation_input_tokens: 0,
412 cache_read_input_tokens: 0,
413 }
414 })
415 })
416 .boxed()
417 }
418 };
419
420 Ok(Response::new(Body::wrap_stream(TokenCountingStream {
421 state,
422 claims,
423 provider: params.provider,
424 model,
425 tokens: TokenUsage::default(),
426 inner_stream: stream,
427 })))
428}
429
430fn normalize_model_name(known_models: Vec<String>, name: String) -> String {
431 if let Some(known_model_name) = known_models
432 .iter()
433 .filter(|known_model_name| name.starts_with(known_model_name.as_str()))
434 .max_by_key(|known_model_name| known_model_name.len())
435 {
436 known_model_name.to_string()
437 } else {
438 name
439 }
440}
441
442/// The maximum monthly spending an individual user can reach on the free tier
443/// before they have to pay.
444pub const FREE_TIER_MONTHLY_SPENDING_LIMIT: Cents = Cents::from_dollars(10);
445
446/// The default value to use for maximum spend per month if the user did not
447/// explicitly set a maximum spend.
448///
449/// Used to prevent surprise bills.
450pub const DEFAULT_MAX_MONTHLY_SPEND: Cents = Cents::from_dollars(10);
451
452async fn check_usage_limit(
453 state: &Arc<LlmState>,
454 provider: LanguageModelProvider,
455 model_name: &str,
456 claims: &LlmTokenClaims,
457) -> Result<()> {
458 if claims.is_staff {
459 return Ok(());
460 }
461
462 let user_id = UserId::from_proto(claims.user_id);
463 let model = state.db.model(provider, model_name)?;
464 let free_tier = claims.free_tier_monthly_spending_limit();
465
466 let spending_this_month = state
467 .db
468 .get_user_spending_for_month(user_id, Utc::now())
469 .await?;
470 if spending_this_month >= free_tier {
471 if !claims.has_llm_subscription {
472 return Err(Error::http(
473 StatusCode::PAYMENT_REQUIRED,
474 "Maximum spending limit reached for this month.".to_string(),
475 ));
476 }
477
478 let monthly_spend = spending_this_month.saturating_sub(free_tier);
479 if monthly_spend >= Cents(claims.max_monthly_spend_in_cents) {
480 return Err(Error::Http(
481 StatusCode::FORBIDDEN,
482 "Maximum spending limit reached for this month.".to_string(),
483 [(
484 HeaderName::from_static(MAX_LLM_MONTHLY_SPEND_REACHED_HEADER_NAME),
485 HeaderValue::from_static("true"),
486 )]
487 .into_iter()
488 .collect(),
489 ));
490 }
491 }
492
493 let active_users = state.get_active_user_count(provider, model_name).await?;
494
495 let users_in_recent_minutes = active_users.users_in_recent_minutes.max(1);
496 let users_in_recent_days = active_users.users_in_recent_days.max(1);
497
498 let per_user_max_requests_per_minute =
499 model.max_requests_per_minute as usize / users_in_recent_minutes;
500 let per_user_max_tokens_per_minute =
501 model.max_tokens_per_minute as usize / users_in_recent_minutes;
502 let per_user_max_input_tokens_per_minute =
503 model.max_input_tokens_per_minute as usize / users_in_recent_minutes;
504 let per_user_max_output_tokens_per_minute =
505 model.max_output_tokens_per_minute as usize / users_in_recent_minutes;
506 let per_user_max_tokens_per_day = model.max_tokens_per_day as usize / users_in_recent_days;
507
508 let usage = state
509 .db
510 .get_usage(user_id, provider, model_name, Utc::now())
511 .await?;
512
513 let checks = [
514 (
515 usage.requests_this_minute,
516 per_user_max_requests_per_minute,
517 UsageMeasure::RequestsPerMinute,
518 ),
519 (
520 usage.tokens_this_minute,
521 per_user_max_tokens_per_minute,
522 UsageMeasure::TokensPerMinute,
523 ),
524 (
525 usage.tokens_this_day,
526 per_user_max_tokens_per_day,
527 UsageMeasure::TokensPerDay,
528 ),
529 ];
530
531 for (used, limit, usage_measure) in checks {
532 if used > limit {
533 let resource = match usage_measure {
534 UsageMeasure::RequestsPerMinute => "requests_per_minute",
535 UsageMeasure::TokensPerMinute => "tokens_per_minute",
536 UsageMeasure::InputTokensPerMinute => "input_tokens_per_minute",
537 UsageMeasure::OutputTokensPerMinute => "output_tokens_per_minute",
538 UsageMeasure::TokensPerDay => "tokens_per_day",
539 };
540
541 tracing::info!(
542 target: "user rate limit",
543 user_id = claims.user_id,
544 login = claims.github_user_login,
545 authn.jti = claims.jti,
546 is_staff = claims.is_staff,
547 provider = provider.to_string(),
548 model = model.name,
549 requests_this_minute = usage.requests_this_minute,
550 tokens_this_minute = usage.tokens_this_minute,
551 input_tokens_this_minute = usage.input_tokens_this_minute,
552 output_tokens_this_minute = usage.output_tokens_this_minute,
553 tokens_this_day = usage.tokens_this_day,
554 users_in_recent_minutes = users_in_recent_minutes,
555 users_in_recent_days = users_in_recent_days,
556 max_requests_per_minute = per_user_max_requests_per_minute,
557 max_tokens_per_minute = per_user_max_tokens_per_minute,
558 max_input_tokens_per_minute = per_user_max_input_tokens_per_minute,
559 max_output_tokens_per_minute = per_user_max_output_tokens_per_minute,
560 max_tokens_per_day = per_user_max_tokens_per_day,
561 );
562
563 SnowflakeRow::new(
564 "Language Model Rate Limited",
565 claims.metrics_id,
566 claims.is_staff,
567 claims.system_id.clone(),
568 json!({
569 "usage": usage,
570 "users_in_recent_minutes": users_in_recent_minutes,
571 "users_in_recent_days": users_in_recent_days,
572 "max_requests_per_minute": per_user_max_requests_per_minute,
573 "max_tokens_per_minute": per_user_max_tokens_per_minute,
574 "max_tokens_per_day": per_user_max_tokens_per_day,
575 "plan": match claims.plan {
576 Plan::Free => "free".to_string(),
577 Plan::ZedPro => "zed_pro".to_string(),
578 },
579 "model": model.name.clone(),
580 "provider": provider.to_string(),
581 "usage_measure": resource.to_string(),
582 }),
583 )
584 .write(&state.kinesis_client, &state.config.kinesis_stream)
585 .await
586 .log_err();
587
588 return Err(Error::http(
589 StatusCode::TOO_MANY_REQUESTS,
590 format!("Rate limit exceeded. Maximum {} reached.", resource),
591 ));
592 }
593 }
594
595 Ok(())
596}
597
598struct CompletionChunk {
599 bytes: Vec<u8>,
600 input_tokens: usize,
601 output_tokens: usize,
602 cache_creation_input_tokens: usize,
603 cache_read_input_tokens: usize,
604}
605
606struct TokenCountingStream<S> {
607 state: Arc<LlmState>,
608 claims: LlmTokenClaims,
609 provider: LanguageModelProvider,
610 model: String,
611 tokens: TokenUsage,
612 inner_stream: S,
613}
614
615impl<S> Stream for TokenCountingStream<S>
616where
617 S: Stream<Item = Result<CompletionChunk, anyhow::Error>> + Unpin,
618{
619 type Item = Result<Vec<u8>, anyhow::Error>;
620
621 fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Option<Self::Item>> {
622 match Pin::new(&mut self.inner_stream).poll_next(cx) {
623 Poll::Ready(Some(Ok(mut chunk))) => {
624 chunk.bytes.push(b'\n');
625 self.tokens.input += chunk.input_tokens;
626 self.tokens.output += chunk.output_tokens;
627 self.tokens.input_cache_creation += chunk.cache_creation_input_tokens;
628 self.tokens.input_cache_read += chunk.cache_read_input_tokens;
629 Poll::Ready(Some(Ok(chunk.bytes)))
630 }
631 Poll::Ready(Some(Err(e))) => Poll::Ready(Some(Err(e))),
632 Poll::Ready(None) => Poll::Ready(None),
633 Poll::Pending => Poll::Pending,
634 }
635 }
636}
637
638impl<S> Drop for TokenCountingStream<S> {
639 fn drop(&mut self) {
640 let state = self.state.clone();
641 let claims = self.claims.clone();
642 let provider = self.provider;
643 let model = std::mem::take(&mut self.model);
644 let tokens = self.tokens;
645 self.state.executor.spawn_detached(async move {
646 let usage = state
647 .db
648 .record_usage(
649 UserId::from_proto(claims.user_id),
650 claims.is_staff,
651 provider,
652 &model,
653 tokens,
654 claims.has_llm_subscription,
655 Cents(claims.max_monthly_spend_in_cents),
656 claims.free_tier_monthly_spending_limit(),
657 Utc::now(),
658 )
659 .await
660 .log_err();
661
662 if let Some(usage) = usage {
663 tracing::info!(
664 target: "user usage",
665 user_id = claims.user_id,
666 login = claims.github_user_login,
667 authn.jti = claims.jti,
668 is_staff = claims.is_staff,
669 requests_this_minute = usage.requests_this_minute,
670 tokens_this_minute = usage.tokens_this_minute,
671 input_tokens_this_minute = usage.input_tokens_this_minute,
672 output_tokens_this_minute = usage.output_tokens_this_minute,
673 );
674
675 let properties = json!({
676 "has_llm_subscription": claims.has_llm_subscription,
677 "max_monthly_spend_in_cents": claims.max_monthly_spend_in_cents,
678 "plan": match claims.plan {
679 Plan::Free => "free".to_string(),
680 Plan::ZedPro => "zed_pro".to_string(),
681 },
682 "model": model,
683 "provider": provider,
684 "usage": usage,
685 "tokens": tokens
686 });
687 SnowflakeRow::new(
688 "Language Model Used",
689 claims.metrics_id,
690 claims.is_staff,
691 claims.system_id.clone(),
692 properties,
693 )
694 .write(&state.kinesis_client, &state.config.kinesis_stream)
695 .await
696 .log_err();
697 }
698 })
699 }
700}
701
702pub fn log_usage_periodically(state: Arc<LlmState>) {
703 state.executor.clone().spawn_detached(async move {
704 loop {
705 state
706 .executor
707 .sleep(std::time::Duration::from_secs(30))
708 .await;
709
710 for provider in LanguageModelProvider::iter() {
711 for model in state.db.model_names_for_provider(provider) {
712 if let Some(active_user_count) = state
713 .get_active_user_count(provider, &model)
714 .await
715 .log_err()
716 {
717 tracing::info!(
718 target: "active user counts",
719 provider = provider.to_string(),
720 model = model,
721 users_in_recent_minutes = active_user_count.users_in_recent_minutes,
722 users_in_recent_days = active_user_count.users_in_recent_days,
723 );
724 }
725 }
726 }
727
728 if let Some(usages) = state
729 .db
730 .get_application_wide_usages_by_model(Utc::now())
731 .await
732 .log_err()
733 {
734 for usage in usages {
735 tracing::info!(
736 target: "computed usage",
737 provider = usage.provider.to_string(),
738 model = usage.model,
739 requests_this_minute = usage.requests_this_minute,
740 tokens_this_minute = usage.tokens_this_minute,
741 input_tokens_this_minute = usage.input_tokens_this_minute,
742 output_tokens_this_minute = usage.output_tokens_this_minute,
743 );
744 }
745 }
746 }
747 })
748}