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, 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)
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)
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, 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
248 (request_id, output_text, usage)
249 };
250
251 let received_response_at = Instant::now();
252
253 log::trace!("Got edit prediction response");
254
255 let Some(mut output_text) = output_text else {
256 return Ok((Some((request_id, None)), usage));
257 };
258
259 // Client-side cursor marker processing (applies to both raw and v3 responses)
260 let cursor_offset_in_output = output_text.find(CURSOR_MARKER);
261 if let Some(offset) = cursor_offset_in_output {
262 log::trace!("Stripping out {CURSOR_MARKER} from response at offset {offset}");
263 output_text.replace_range(offset..offset + CURSOR_MARKER.len(), "");
264 }
265
266 if let Some(debug_tx) = &debug_tx {
267 debug_tx
268 .unbounded_send(DebugEvent::EditPredictionFinished(
269 EditPredictionFinishedDebugEvent {
270 buffer: buffer.downgrade(),
271 position,
272 model_output: Some(output_text.clone()),
273 },
274 ))
275 .ok();
276 }
277
278 let editable_range_in_buffer = editable_range_in_excerpt.start
279 + full_context_offset_range.start
280 ..editable_range_in_excerpt.end + full_context_offset_range.start;
281
282 let mut old_text = snapshot
283 .text_for_range(editable_range_in_buffer.clone())
284 .collect::<String>();
285
286 if !output_text.is_empty() && !output_text.ends_with('\n') {
287 output_text.push('\n');
288 }
289 if !old_text.is_empty() && !old_text.ends_with('\n') {
290 old_text.push('\n');
291 }
292
293 let (edits, cursor_position) = compute_edits_and_cursor_position(
294 old_text,
295 &output_text,
296 editable_range_in_buffer.start,
297 cursor_offset_in_output,
298 &snapshot,
299 );
300
301 anyhow::Ok((
302 Some((
303 request_id,
304 Some((
305 prompt_input,
306 buffer,
307 snapshot.clone(),
308 edits,
309 cursor_position,
310 received_response_at,
311 )),
312 )),
313 usage,
314 ))
315 }
316 });
317
318 cx.spawn(async move |this, cx| {
319 let Some((id, prediction)) =
320 EditPredictionStore::handle_api_response(&this, request_task.await, cx)?
321 else {
322 return Ok(None);
323 };
324
325 let Some((
326 inputs,
327 edited_buffer,
328 edited_buffer_snapshot,
329 edits,
330 cursor_position,
331 received_response_at,
332 )) = prediction
333 else {
334 return Ok(Some(EditPredictionResult {
335 id,
336 prediction: Err(EditPredictionRejectReason::Empty),
337 }));
338 };
339
340 Ok(Some(
341 EditPredictionResult::new(
342 id,
343 &edited_buffer,
344 &edited_buffer_snapshot,
345 edits.into(),
346 cursor_position,
347 buffer_snapshotted_at,
348 received_response_at,
349 inputs,
350 cx,
351 )
352 .await,
353 ))
354 })
355}
356
357pub fn zeta2_prompt_input(
358 snapshot: &language::BufferSnapshot,
359 related_files: Vec<zeta_prompt::RelatedFile>,
360 events: Vec<Arc<zeta_prompt::Event>>,
361 excerpt_path: Arc<Path>,
362 cursor_offset: usize,
363 zeta_format: ZetaFormat,
364 preferred_model: Option<EditPredictionModelKind>,
365 is_open_source: bool,
366 can_collect_data: bool,
367) -> (Range<usize>, zeta_prompt::ZetaPromptInput) {
368 let cursor_point = cursor_offset.to_point(snapshot);
369
370 let (full_context, full_context_offset_range, excerpt_ranges) =
371 compute_excerpt_ranges(cursor_point, snapshot);
372
373 let related_files = crate::filter_redundant_excerpts(
374 related_files,
375 excerpt_path.as_ref(),
376 full_context.start.row..full_context.end.row,
377 );
378
379 let full_context_start_offset = full_context_offset_range.start;
380 let full_context_start_row = full_context.start.row;
381
382 let editable_offset_range = match preferred_model {
383 Some(EditPredictionModelKind::Zeta1) => excerpt_ranges.editable_350.clone(),
384 _ => zeta_prompt::excerpt_range_for_format(zeta_format, &excerpt_ranges).0,
385 };
386
387 let cursor_offset_in_excerpt = cursor_offset - full_context_start_offset;
388
389 let prompt_input = zeta_prompt::ZetaPromptInput {
390 cursor_path: excerpt_path,
391 cursor_excerpt: snapshot
392 .text_for_range(full_context)
393 .collect::<String>()
394 .into(),
395 editable_range_in_excerpt: editable_offset_range,
396 cursor_offset_in_excerpt,
397 excerpt_start_row: Some(full_context_start_row),
398 events,
399 related_files,
400 excerpt_ranges: Some(excerpt_ranges),
401 preferred_model,
402 in_open_source_repo: is_open_source,
403 can_collect_data,
404 };
405 (full_context_offset_range, prompt_input)
406}
407
408pub(crate) async fn send_custom_server_request(
409 provider: settings::EditPredictionProvider,
410 settings: &OpenAiCompatibleEditPredictionSettings,
411 prompt: String,
412 max_tokens: u32,
413 stop_tokens: Vec<String>,
414 http_client: &Arc<dyn http_client::HttpClient>,
415) -> Result<(String, String)> {
416 match provider {
417 settings::EditPredictionProvider::Ollama => {
418 let response =
419 ollama::make_request(settings.clone(), prompt, stop_tokens, http_client.clone())
420 .await?;
421 Ok((response.response, response.created_at))
422 }
423 _ => {
424 let request = RawCompletionRequest {
425 model: settings.model.clone(),
426 prompt,
427 max_tokens: Some(max_tokens),
428 temperature: None,
429 stop: stop_tokens
430 .into_iter()
431 .map(std::borrow::Cow::Owned)
432 .collect(),
433 environment: None,
434 };
435
436 let request_body = serde_json::to_string(&request)?;
437 let http_request = http_client::Request::builder()
438 .method(http_client::Method::POST)
439 .uri(settings.api_url.as_ref())
440 .header("Content-Type", "application/json")
441 .body(http_client::AsyncBody::from(request_body))?;
442
443 let mut response = http_client.send(http_request).await?;
444 let status = response.status();
445
446 if !status.is_success() {
447 let mut body = String::new();
448 response.body_mut().read_to_string(&mut body).await?;
449 anyhow::bail!("custom server error: {} - {}", status, body);
450 }
451
452 let mut body = String::new();
453 response.body_mut().read_to_string(&mut body).await?;
454
455 let parsed: RawCompletionResponse =
456 serde_json::from_str(&body).context("Failed to parse completion response")?;
457 let text = parsed
458 .choices
459 .into_iter()
460 .next()
461 .map(|choice| choice.text)
462 .unwrap_or_default();
463 Ok((text, parsed.id))
464 }
465 }
466}
467
468pub(crate) fn edit_prediction_accepted(
469 store: &EditPredictionStore,
470 current_prediction: CurrentEditPrediction,
471 cx: &App,
472) {
473 let custom_accept_url = env::var("ZED_ACCEPT_PREDICTION_URL").ok();
474 if store.zeta2_raw_config().is_some() && custom_accept_url.is_none() {
475 return;
476 }
477
478 let request_id = current_prediction.prediction.id.to_string();
479 let require_auth = custom_accept_url.is_none();
480 let client = store.client.clone();
481 let llm_token = store.llm_token.clone();
482 let app_version = AppVersion::global(cx);
483
484 cx.background_spawn(async move {
485 let url = if let Some(accept_edits_url) = custom_accept_url {
486 gpui::http_client::Url::parse(&accept_edits_url)?
487 } else {
488 client
489 .http_client()
490 .build_zed_llm_url("/predict_edits/accept", &[])?
491 };
492
493 let response = EditPredictionStore::send_api_request::<()>(
494 move |builder| {
495 let req = builder.uri(url.as_ref()).body(
496 serde_json::to_string(&AcceptEditPredictionBody {
497 request_id: request_id.clone(),
498 })?
499 .into(),
500 );
501 Ok(req?)
502 },
503 client,
504 llm_token,
505 app_version,
506 require_auth,
507 )
508 .await;
509
510 response?;
511 anyhow::Ok(())
512 })
513 .detach_and_log_err(cx);
514}
515
516pub fn compute_edits(
517 old_text: String,
518 new_text: &str,
519 offset: usize,
520 snapshot: &BufferSnapshot,
521) -> Vec<(Range<Anchor>, Arc<str>)> {
522 compute_edits_and_cursor_position(old_text, new_text, offset, None, snapshot).0
523}
524
525pub fn compute_edits_and_cursor_position(
526 old_text: String,
527 new_text: &str,
528 offset: usize,
529 cursor_offset_in_new_text: Option<usize>,
530 snapshot: &BufferSnapshot,
531) -> (
532 Vec<(Range<Anchor>, Arc<str>)>,
533 Option<PredictedCursorPosition>,
534) {
535 let diffs = text_diff(&old_text, new_text);
536
537 // Delta represents the cumulative change in byte count from all preceding edits.
538 // new_offset = old_offset + delta, so old_offset = new_offset - delta
539 let mut delta: isize = 0;
540 let mut cursor_position: Option<PredictedCursorPosition> = None;
541 let buffer_len = snapshot.len();
542
543 let edits = diffs
544 .iter()
545 .map(|(raw_old_range, new_text)| {
546 // Compute cursor position if it falls within or before this edit.
547 if let (Some(cursor_offset), None) = (cursor_offset_in_new_text, cursor_position) {
548 let edit_start_in_new = (raw_old_range.start as isize + delta) as usize;
549 let edit_end_in_new = edit_start_in_new + new_text.len();
550
551 if cursor_offset < edit_start_in_new {
552 let cursor_in_old = (cursor_offset as isize - delta) as usize;
553 let buffer_offset = (offset + cursor_in_old).min(buffer_len);
554 cursor_position = Some(PredictedCursorPosition::at_anchor(
555 snapshot.anchor_after(buffer_offset),
556 ));
557 } else if cursor_offset < edit_end_in_new {
558 let buffer_offset = (offset + raw_old_range.start).min(buffer_len);
559 let offset_within_insertion = cursor_offset - edit_start_in_new;
560 cursor_position = Some(PredictedCursorPosition::new(
561 snapshot.anchor_before(buffer_offset),
562 offset_within_insertion,
563 ));
564 }
565
566 delta += new_text.len() as isize - raw_old_range.len() as isize;
567 }
568
569 // Compute the edit with prefix/suffix trimming.
570 let mut old_range = raw_old_range.clone();
571 let old_slice = &old_text[old_range.clone()];
572
573 let prefix_len = common_prefix(old_slice.chars(), new_text.chars());
574 let suffix_len = common_prefix(
575 old_slice[prefix_len..].chars().rev(),
576 new_text[prefix_len..].chars().rev(),
577 );
578
579 old_range.start += offset;
580 old_range.end += offset;
581 old_range.start += prefix_len;
582 old_range.end -= suffix_len;
583
584 old_range.start = old_range.start.min(buffer_len);
585 old_range.end = old_range.end.min(buffer_len);
586
587 let new_text = new_text[prefix_len..new_text.len() - suffix_len].into();
588 let range = if old_range.is_empty() {
589 let anchor = snapshot.anchor_after(old_range.start);
590 anchor..anchor
591 } else {
592 snapshot.anchor_after(old_range.start)..snapshot.anchor_before(old_range.end)
593 };
594 (range, new_text)
595 })
596 .collect();
597
598 if let (Some(cursor_offset), None) = (cursor_offset_in_new_text, cursor_position) {
599 let cursor_in_old = (cursor_offset as isize - delta) as usize;
600 let buffer_offset = snapshot.clip_offset(offset + cursor_in_old, Bias::Right);
601 cursor_position = Some(PredictedCursorPosition::at_anchor(
602 snapshot.anchor_after(buffer_offset),
603 ));
604 }
605
606 (edits, cursor_position)
607}
608
609fn common_prefix<T1: Iterator<Item = char>, T2: Iterator<Item = char>>(a: T1, b: T2) -> usize {
610 a.zip(b)
611 .take_while(|(a, b)| a == b)
612 .map(|(a, _)| a.len_utf8())
613 .sum()
614}