1use crate::cursor_excerpt::compute_excerpt_ranges;
2use crate::prediction::EditPredictionResult;
3use crate::{
4 CurrentEditPrediction, DebugEvent, EditPredictionFinishedDebugEvent, EditPredictionId,
5 EditPredictionModelInput, EditPredictionStartedDebugEvent, EditPredictionStore, ollama,
6};
7use anyhow::{Context as _, Result};
8use cloud_llm_client::predict_edits_v3::{RawCompletionRequest, RawCompletionResponse};
9use cloud_llm_client::{AcceptEditPredictionBody, EditPredictionRejectReason};
10use edit_prediction_types::PredictedCursorPosition;
11use futures::AsyncReadExt as _;
12use gpui::{App, AppContext as _, Task, http_client, prelude::*};
13use language::language_settings::{OpenAiCompatibleEditPredictionSettings, all_language_settings};
14use language::{BufferSnapshot, ToOffset as _, ToPoint, text_diff};
15use release_channel::AppVersion;
16use text::{Anchor, Bias};
17
18use std::env;
19use std::ops::Range;
20use std::{path::Path, sync::Arc, time::Instant};
21use zeta_prompt::{
22 CURSOR_MARKER, EditPredictionModelKind, ZetaFormat, clean_zeta2_model_output,
23 format_zeta_prompt, get_prefill, prompt_input_contains_special_tokens,
24 zeta1::{self, EDITABLE_REGION_END_MARKER},
25};
26
27pub fn request_prediction_with_zeta(
28 store: &mut EditPredictionStore,
29 EditPredictionModelInput {
30 buffer,
31 snapshot,
32 position,
33 related_files,
34 events,
35 debug_tx,
36 trigger,
37 project,
38 ..
39 }: EditPredictionModelInput,
40 preferred_model: Option<EditPredictionModelKind>,
41 cx: &mut Context<EditPredictionStore>,
42) -> Task<Result<Option<EditPredictionResult>>> {
43 let settings = &all_language_settings(None, cx).edit_predictions;
44 let provider = settings.provider;
45 let custom_server_settings = match provider {
46 settings::EditPredictionProvider::Ollama => settings.ollama.clone(),
47 settings::EditPredictionProvider::OpenAiCompatibleApi => {
48 settings.open_ai_compatible_api.clone()
49 }
50 _ => None,
51 };
52
53 let http_client = cx.http_client();
54 let buffer_snapshotted_at = Instant::now();
55 let raw_config = store.zeta2_raw_config().cloned();
56
57 let excerpt_path: Arc<Path> = snapshot
58 .file()
59 .map(|file| -> Arc<Path> { file.full_path(cx).into() })
60 .unwrap_or_else(|| Arc::from(Path::new("untitled")));
61
62 let client = store.client.clone();
63 let llm_token = store.llm_token.clone();
64 let app_version = AppVersion::global(cx);
65
66 let is_open_source = snapshot
67 .file()
68 .map_or(false, |file| store.is_file_open_source(&project, file, cx))
69 && events.iter().all(|event| event.in_open_source_repo())
70 && related_files.iter().all(|file| file.in_open_source_repo);
71
72 let can_collect_data = is_open_source && store.is_data_collection_enabled(cx);
73
74 let request_task = cx.background_spawn({
75 async move {
76 let zeta_version = raw_config
77 .as_ref()
78 .map(|config| config.format)
79 .unwrap_or(ZetaFormat::default());
80
81 let cursor_offset = position.to_offset(&snapshot);
82 let editable_range_in_excerpt: Range<usize>;
83 let (full_context_offset_range, prompt_input) = zeta2_prompt_input(
84 &snapshot,
85 related_files,
86 events,
87 excerpt_path,
88 cursor_offset,
89 zeta_version,
90 preferred_model,
91 is_open_source,
92 can_collect_data,
93 );
94
95 if prompt_input_contains_special_tokens(&prompt_input, zeta_version) {
96 return Ok((None, None));
97 }
98
99 let is_zeta1 = preferred_model == Some(EditPredictionModelKind::Zeta1);
100 let excerpt_ranges = prompt_input
101 .excerpt_ranges
102 .as_ref()
103 .ok_or_else(|| anyhow::anyhow!("excerpt_ranges missing from prompt input"))?;
104
105 if let Some(debug_tx) = &debug_tx {
106 let prompt = if is_zeta1 {
107 zeta1::format_zeta1_from_input(
108 &prompt_input,
109 excerpt_ranges.editable_350.clone(),
110 excerpt_ranges.editable_350_context_150.clone(),
111 )
112 } else {
113 format_zeta_prompt(&prompt_input, zeta_version)
114 };
115 debug_tx
116 .unbounded_send(DebugEvent::EditPredictionStarted(
117 EditPredictionStartedDebugEvent {
118 buffer: buffer.downgrade(),
119 prompt: Some(prompt),
120 position,
121 },
122 ))
123 .ok();
124 }
125
126 log::trace!("Sending edit prediction request");
127
128 let (request_id, output_text, model_version, usage) = if let Some(custom_settings) =
129 &custom_server_settings
130 {
131 let max_tokens = custom_settings.max_output_tokens * 4;
132
133 if is_zeta1 {
134 let ranges = excerpt_ranges;
135 let prompt = zeta1::format_zeta1_from_input(
136 &prompt_input,
137 ranges.editable_350.clone(),
138 ranges.editable_350_context_150.clone(),
139 );
140 editable_range_in_excerpt = ranges.editable_350.clone();
141 let stop_tokens = vec![
142 EDITABLE_REGION_END_MARKER.to_string(),
143 format!("{EDITABLE_REGION_END_MARKER}\n"),
144 format!("{EDITABLE_REGION_END_MARKER}\n\n"),
145 format!("{EDITABLE_REGION_END_MARKER}\n\n\n"),
146 ];
147
148 let (response_text, request_id) = send_custom_server_request(
149 provider,
150 custom_settings,
151 prompt,
152 max_tokens,
153 stop_tokens,
154 &http_client,
155 )
156 .await?;
157
158 let request_id = EditPredictionId(request_id.into());
159 let output_text = zeta1::clean_zeta1_model_output(&response_text);
160
161 (request_id, output_text, None, None)
162 } else {
163 let prompt = format_zeta_prompt(&prompt_input, zeta_version);
164 let prefill = get_prefill(&prompt_input, zeta_version);
165 let prompt = format!("{prompt}{prefill}");
166
167 editable_range_in_excerpt = prompt_input
168 .excerpt_ranges
169 .as_ref()
170 .map(|ranges| zeta_prompt::excerpt_range_for_format(zeta_version, ranges).0)
171 .unwrap_or(prompt_input.editable_range_in_excerpt.clone());
172
173 let (response_text, request_id) = send_custom_server_request(
174 provider,
175 custom_settings,
176 prompt,
177 max_tokens,
178 vec![],
179 &http_client,
180 )
181 .await?;
182
183 let request_id = EditPredictionId(request_id.into());
184 let output_text = if response_text.is_empty() {
185 None
186 } else {
187 let output = format!("{prefill}{response_text}");
188 Some(clean_zeta2_model_output(&output, zeta_version).to_string())
189 };
190
191 (request_id, output_text, None, None)
192 }
193 } else if let Some(config) = &raw_config {
194 let prompt = format_zeta_prompt(&prompt_input, config.format);
195 let prefill = get_prefill(&prompt_input, config.format);
196 let prompt = format!("{prompt}{prefill}");
197 let request = RawCompletionRequest {
198 model: config.model_id.clone().unwrap_or_default(),
199 prompt,
200 temperature: None,
201 stop: vec![],
202 max_tokens: Some(2048),
203 environment: Some(config.format.to_string().to_lowercase()),
204 };
205
206 editable_range_in_excerpt = prompt_input
207 .excerpt_ranges
208 .as_ref()
209 .map(|ranges| zeta_prompt::excerpt_range_for_format(config.format, ranges).1)
210 .unwrap_or(prompt_input.editable_range_in_excerpt.clone());
211
212 let (mut response, usage) = EditPredictionStore::send_raw_llm_request(
213 request,
214 client,
215 None,
216 llm_token,
217 app_version,
218 )
219 .await?;
220
221 let request_id = EditPredictionId(response.id.clone().into());
222 let output_text = response.choices.pop().map(|choice| {
223 let response = &choice.text;
224 let output = format!("{prefill}{response}");
225 clean_zeta2_model_output(&output, config.format).to_string()
226 });
227
228 (request_id, output_text, None, usage)
229 } else {
230 // Use V3 endpoint - server handles model/version selection and suffix stripping
231 let (response, usage) = EditPredictionStore::send_v3_request(
232 prompt_input.clone(),
233 client,
234 llm_token,
235 app_version,
236 trigger,
237 )
238 .await?;
239
240 let request_id = EditPredictionId(response.request_id.into());
241 let output_text = if response.output.is_empty() {
242 None
243 } else {
244 Some(response.output)
245 };
246 editable_range_in_excerpt = response.editable_range;
247 let model_version = response.model_version;
248
249 (request_id, output_text, model_version, usage)
250 };
251
252 let received_response_at = Instant::now();
253
254 log::trace!("Got edit prediction response");
255
256 let Some(mut output_text) = output_text else {
257 return Ok((Some((request_id, None, model_version)), usage));
258 };
259
260 // Client-side cursor marker processing (applies to both raw and v3 responses)
261 let cursor_offset_in_output = output_text.find(CURSOR_MARKER);
262 if let Some(offset) = cursor_offset_in_output {
263 log::trace!("Stripping out {CURSOR_MARKER} from response at offset {offset}");
264 output_text.replace_range(offset..offset + CURSOR_MARKER.len(), "");
265 }
266
267 if let Some(debug_tx) = &debug_tx {
268 debug_tx
269 .unbounded_send(DebugEvent::EditPredictionFinished(
270 EditPredictionFinishedDebugEvent {
271 buffer: buffer.downgrade(),
272 position,
273 model_output: Some(output_text.clone()),
274 },
275 ))
276 .ok();
277 }
278
279 let editable_range_in_buffer = editable_range_in_excerpt.start
280 + full_context_offset_range.start
281 ..editable_range_in_excerpt.end + full_context_offset_range.start;
282
283 let mut old_text = snapshot
284 .text_for_range(editable_range_in_buffer.clone())
285 .collect::<String>();
286
287 if !output_text.is_empty() && !output_text.ends_with('\n') {
288 output_text.push('\n');
289 }
290 if !old_text.is_empty() && !old_text.ends_with('\n') {
291 old_text.push('\n');
292 }
293
294 let (edits, cursor_position) = compute_edits_and_cursor_position(
295 old_text,
296 &output_text,
297 editable_range_in_buffer.start,
298 cursor_offset_in_output,
299 &snapshot,
300 );
301
302 anyhow::Ok((
303 Some((
304 request_id,
305 Some((
306 prompt_input,
307 buffer,
308 snapshot.clone(),
309 edits,
310 cursor_position,
311 received_response_at,
312 editable_range_in_buffer,
313 )),
314 model_version,
315 )),
316 usage,
317 ))
318 }
319 });
320
321 cx.spawn(async move |this, cx| {
322 let Some((id, prediction, model_version)) =
323 EditPredictionStore::handle_api_response(&this, request_task.await, cx)?
324 else {
325 return Ok(None);
326 };
327
328 let Some((
329 inputs,
330 edited_buffer,
331 edited_buffer_snapshot,
332 edits,
333 cursor_position,
334 received_response_at,
335 editable_range_in_buffer,
336 )) = prediction
337 else {
338 return Ok(Some(EditPredictionResult {
339 id,
340 prediction: Err(EditPredictionRejectReason::Empty),
341 }));
342 };
343
344 if can_collect_data {
345 this.update(cx, |this, cx| {
346 this.enqueue_settled_prediction(
347 id.clone(),
348 &project,
349 &edited_buffer,
350 &edited_buffer_snapshot,
351 editable_range_in_buffer,
352 cx,
353 );
354 })
355 .ok();
356 }
357
358 Ok(Some(
359 EditPredictionResult::new(
360 id,
361 &edited_buffer,
362 &edited_buffer_snapshot,
363 edits.into(),
364 cursor_position,
365 buffer_snapshotted_at,
366 received_response_at,
367 inputs,
368 model_version,
369 cx,
370 )
371 .await,
372 ))
373 })
374}
375
376pub fn zeta2_prompt_input(
377 snapshot: &language::BufferSnapshot,
378 related_files: Vec<zeta_prompt::RelatedFile>,
379 events: Vec<Arc<zeta_prompt::Event>>,
380 excerpt_path: Arc<Path>,
381 cursor_offset: usize,
382 zeta_format: ZetaFormat,
383 preferred_model: Option<EditPredictionModelKind>,
384 is_open_source: bool,
385 can_collect_data: bool,
386) -> (Range<usize>, zeta_prompt::ZetaPromptInput) {
387 let cursor_point = cursor_offset.to_point(snapshot);
388
389 let (full_context, full_context_offset_range, excerpt_ranges) =
390 compute_excerpt_ranges(cursor_point, snapshot);
391
392 let related_files = crate::filter_redundant_excerpts(
393 related_files,
394 excerpt_path.as_ref(),
395 full_context.start.row..full_context.end.row,
396 );
397
398 let full_context_start_offset = full_context_offset_range.start;
399 let full_context_start_row = full_context.start.row;
400
401 let editable_offset_range = match preferred_model {
402 Some(EditPredictionModelKind::Zeta1) => excerpt_ranges.editable_350.clone(),
403 _ => zeta_prompt::excerpt_range_for_format(zeta_format, &excerpt_ranges).0,
404 };
405
406 let cursor_offset_in_excerpt = cursor_offset - full_context_start_offset;
407
408 let prompt_input = zeta_prompt::ZetaPromptInput {
409 cursor_path: excerpt_path,
410 cursor_excerpt: snapshot
411 .text_for_range(full_context)
412 .collect::<String>()
413 .into(),
414 editable_range_in_excerpt: editable_offset_range,
415 cursor_offset_in_excerpt,
416 excerpt_start_row: Some(full_context_start_row),
417 events,
418 related_files,
419 excerpt_ranges: Some(excerpt_ranges),
420 preferred_model,
421 in_open_source_repo: is_open_source,
422 can_collect_data,
423 };
424 (full_context_offset_range, prompt_input)
425}
426
427pub(crate) async fn send_custom_server_request(
428 provider: settings::EditPredictionProvider,
429 settings: &OpenAiCompatibleEditPredictionSettings,
430 prompt: String,
431 max_tokens: u32,
432 stop_tokens: Vec<String>,
433 http_client: &Arc<dyn http_client::HttpClient>,
434) -> Result<(String, String)> {
435 match provider {
436 settings::EditPredictionProvider::Ollama => {
437 let response =
438 ollama::make_request(settings.clone(), prompt, stop_tokens, http_client.clone())
439 .await?;
440 Ok((response.response, response.created_at))
441 }
442 _ => {
443 let request = RawCompletionRequest {
444 model: settings.model.clone(),
445 prompt,
446 max_tokens: Some(max_tokens),
447 temperature: None,
448 stop: stop_tokens
449 .into_iter()
450 .map(std::borrow::Cow::Owned)
451 .collect(),
452 environment: None,
453 };
454
455 let request_body = serde_json::to_string(&request)?;
456 let http_request = http_client::Request::builder()
457 .method(http_client::Method::POST)
458 .uri(settings.api_url.as_ref())
459 .header("Content-Type", "application/json")
460 .body(http_client::AsyncBody::from(request_body))?;
461
462 let mut response = http_client.send(http_request).await?;
463 let status = response.status();
464
465 if !status.is_success() {
466 let mut body = String::new();
467 response.body_mut().read_to_string(&mut body).await?;
468 anyhow::bail!("custom server error: {} - {}", status, body);
469 }
470
471 let mut body = String::new();
472 response.body_mut().read_to_string(&mut body).await?;
473
474 let parsed: RawCompletionResponse =
475 serde_json::from_str(&body).context("Failed to parse completion response")?;
476 let text = parsed
477 .choices
478 .into_iter()
479 .next()
480 .map(|choice| choice.text)
481 .unwrap_or_default();
482 Ok((text, parsed.id))
483 }
484 }
485}
486
487pub(crate) fn edit_prediction_accepted(
488 store: &EditPredictionStore,
489 current_prediction: CurrentEditPrediction,
490 cx: &App,
491) {
492 let custom_accept_url = env::var("ZED_ACCEPT_PREDICTION_URL").ok();
493 if store.zeta2_raw_config().is_some() && custom_accept_url.is_none() {
494 return;
495 }
496
497 let request_id = current_prediction.prediction.id.to_string();
498 let model_version = current_prediction.prediction.model_version;
499 let require_auth = custom_accept_url.is_none();
500 let client = store.client.clone();
501 let llm_token = store.llm_token.clone();
502 let app_version = AppVersion::global(cx);
503
504 cx.background_spawn(async move {
505 let url = if let Some(accept_edits_url) = custom_accept_url {
506 gpui::http_client::Url::parse(&accept_edits_url)?
507 } else {
508 client
509 .http_client()
510 .build_zed_llm_url("/predict_edits/accept", &[])?
511 };
512
513 let response = EditPredictionStore::send_api_request::<()>(
514 move |builder| {
515 let req = builder.uri(url.as_ref()).body(
516 serde_json::to_string(&AcceptEditPredictionBody {
517 request_id: request_id.clone(),
518 model_version: model_version.clone(),
519 })?
520 .into(),
521 );
522 Ok(req?)
523 },
524 client,
525 llm_token,
526 app_version,
527 require_auth,
528 )
529 .await;
530
531 response?;
532 anyhow::Ok(())
533 })
534 .detach_and_log_err(cx);
535}
536
537pub fn compute_edits(
538 old_text: String,
539 new_text: &str,
540 offset: usize,
541 snapshot: &BufferSnapshot,
542) -> Vec<(Range<Anchor>, Arc<str>)> {
543 compute_edits_and_cursor_position(old_text, new_text, offset, None, snapshot).0
544}
545
546pub fn compute_edits_and_cursor_position(
547 old_text: String,
548 new_text: &str,
549 offset: usize,
550 cursor_offset_in_new_text: Option<usize>,
551 snapshot: &BufferSnapshot,
552) -> (
553 Vec<(Range<Anchor>, Arc<str>)>,
554 Option<PredictedCursorPosition>,
555) {
556 let diffs = text_diff(&old_text, new_text);
557
558 // Delta represents the cumulative change in byte count from all preceding edits.
559 // new_offset = old_offset + delta, so old_offset = new_offset - delta
560 let mut delta: isize = 0;
561 let mut cursor_position: Option<PredictedCursorPosition> = None;
562 let buffer_len = snapshot.len();
563
564 let edits = diffs
565 .iter()
566 .map(|(raw_old_range, new_text)| {
567 // Compute cursor position if it falls within or before this edit.
568 if let (Some(cursor_offset), None) = (cursor_offset_in_new_text, cursor_position) {
569 let edit_start_in_new = (raw_old_range.start as isize + delta) as usize;
570 let edit_end_in_new = edit_start_in_new + new_text.len();
571
572 if cursor_offset < edit_start_in_new {
573 let cursor_in_old = (cursor_offset as isize - delta) as usize;
574 let buffer_offset = (offset + cursor_in_old).min(buffer_len);
575 cursor_position = Some(PredictedCursorPosition::at_anchor(
576 snapshot.anchor_after(buffer_offset),
577 ));
578 } else if cursor_offset < edit_end_in_new {
579 let buffer_offset = (offset + raw_old_range.start).min(buffer_len);
580 let offset_within_insertion = cursor_offset - edit_start_in_new;
581 cursor_position = Some(PredictedCursorPosition::new(
582 snapshot.anchor_before(buffer_offset),
583 offset_within_insertion,
584 ));
585 }
586
587 delta += new_text.len() as isize - raw_old_range.len() as isize;
588 }
589
590 // Compute the edit with prefix/suffix trimming.
591 let mut old_range = raw_old_range.clone();
592 let old_slice = &old_text[old_range.clone()];
593
594 let prefix_len = common_prefix(old_slice.chars(), new_text.chars());
595 let suffix_len = common_prefix(
596 old_slice[prefix_len..].chars().rev(),
597 new_text[prefix_len..].chars().rev(),
598 );
599
600 old_range.start += offset;
601 old_range.end += offset;
602 old_range.start += prefix_len;
603 old_range.end -= suffix_len;
604
605 old_range.start = old_range.start.min(buffer_len);
606 old_range.end = old_range.end.min(buffer_len);
607
608 let new_text = new_text[prefix_len..new_text.len() - suffix_len].into();
609 let range = if old_range.is_empty() {
610 let anchor = snapshot.anchor_after(old_range.start);
611 anchor..anchor
612 } else {
613 snapshot.anchor_after(old_range.start)..snapshot.anchor_before(old_range.end)
614 };
615 (range, new_text)
616 })
617 .collect();
618
619 if let (Some(cursor_offset), None) = (cursor_offset_in_new_text, cursor_position) {
620 let cursor_in_old = (cursor_offset as isize - delta) as usize;
621 let buffer_offset = snapshot.clip_offset(offset + cursor_in_old, Bias::Right);
622 cursor_position = Some(PredictedCursorPosition::at_anchor(
623 snapshot.anchor_after(buffer_offset),
624 ));
625 }
626
627 (edits, cursor_position)
628}
629
630fn common_prefix<T1: Iterator<Item = char>, T2: Iterator<Item = char>>(a: T1, b: T2) -> usize {
631 a.zip(b)
632 .take_while(|(a, b)| a == b)
633 .map(|(a, _)| a.len_utf8())
634 .sum()
635}