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 )),
313 model_version,
314 )),
315 usage,
316 ))
317 }
318 });
319
320 cx.spawn(async move |this, cx| {
321 let Some((id, prediction, model_version)) =
322 EditPredictionStore::handle_api_response(&this, request_task.await, cx)?
323 else {
324 return Ok(None);
325 };
326
327 let Some((
328 inputs,
329 edited_buffer,
330 edited_buffer_snapshot,
331 edits,
332 cursor_position,
333 received_response_at,
334 )) = prediction
335 else {
336 return Ok(Some(EditPredictionResult {
337 id,
338 prediction: Err(EditPredictionRejectReason::Empty),
339 }));
340 };
341
342 Ok(Some(
343 EditPredictionResult::new(
344 id,
345 &edited_buffer,
346 &edited_buffer_snapshot,
347 edits.into(),
348 cursor_position,
349 buffer_snapshotted_at,
350 received_response_at,
351 inputs,
352 model_version,
353 cx,
354 )
355 .await,
356 ))
357 })
358}
359
360pub fn zeta2_prompt_input(
361 snapshot: &language::BufferSnapshot,
362 related_files: Vec<zeta_prompt::RelatedFile>,
363 events: Vec<Arc<zeta_prompt::Event>>,
364 excerpt_path: Arc<Path>,
365 cursor_offset: usize,
366 zeta_format: ZetaFormat,
367 preferred_model: Option<EditPredictionModelKind>,
368 is_open_source: bool,
369 can_collect_data: bool,
370) -> (Range<usize>, zeta_prompt::ZetaPromptInput) {
371 let cursor_point = cursor_offset.to_point(snapshot);
372
373 let (full_context, full_context_offset_range, excerpt_ranges) =
374 compute_excerpt_ranges(cursor_point, snapshot);
375
376 let related_files = crate::filter_redundant_excerpts(
377 related_files,
378 excerpt_path.as_ref(),
379 full_context.start.row..full_context.end.row,
380 );
381
382 let full_context_start_offset = full_context_offset_range.start;
383 let full_context_start_row = full_context.start.row;
384
385 let editable_offset_range = match preferred_model {
386 Some(EditPredictionModelKind::Zeta1) => excerpt_ranges.editable_350.clone(),
387 _ => zeta_prompt::excerpt_range_for_format(zeta_format, &excerpt_ranges).0,
388 };
389
390 let cursor_offset_in_excerpt = cursor_offset - full_context_start_offset;
391
392 let prompt_input = zeta_prompt::ZetaPromptInput {
393 cursor_path: excerpt_path,
394 cursor_excerpt: snapshot
395 .text_for_range(full_context)
396 .collect::<String>()
397 .into(),
398 editable_range_in_excerpt: editable_offset_range,
399 cursor_offset_in_excerpt,
400 excerpt_start_row: Some(full_context_start_row),
401 events,
402 related_files,
403 excerpt_ranges: Some(excerpt_ranges),
404 preferred_model,
405 in_open_source_repo: is_open_source,
406 can_collect_data,
407 };
408 (full_context_offset_range, prompt_input)
409}
410
411pub(crate) async fn send_custom_server_request(
412 provider: settings::EditPredictionProvider,
413 settings: &OpenAiCompatibleEditPredictionSettings,
414 prompt: String,
415 max_tokens: u32,
416 stop_tokens: Vec<String>,
417 http_client: &Arc<dyn http_client::HttpClient>,
418) -> Result<(String, String)> {
419 match provider {
420 settings::EditPredictionProvider::Ollama => {
421 let response =
422 ollama::make_request(settings.clone(), prompt, stop_tokens, http_client.clone())
423 .await?;
424 Ok((response.response, response.created_at))
425 }
426 _ => {
427 let request = RawCompletionRequest {
428 model: settings.model.clone(),
429 prompt,
430 max_tokens: Some(max_tokens),
431 temperature: None,
432 stop: stop_tokens
433 .into_iter()
434 .map(std::borrow::Cow::Owned)
435 .collect(),
436 environment: None,
437 };
438
439 let request_body = serde_json::to_string(&request)?;
440 let http_request = http_client::Request::builder()
441 .method(http_client::Method::POST)
442 .uri(settings.api_url.as_ref())
443 .header("Content-Type", "application/json")
444 .body(http_client::AsyncBody::from(request_body))?;
445
446 let mut response = http_client.send(http_request).await?;
447 let status = response.status();
448
449 if !status.is_success() {
450 let mut body = String::new();
451 response.body_mut().read_to_string(&mut body).await?;
452 anyhow::bail!("custom server error: {} - {}", status, body);
453 }
454
455 let mut body = String::new();
456 response.body_mut().read_to_string(&mut body).await?;
457
458 let parsed: RawCompletionResponse =
459 serde_json::from_str(&body).context("Failed to parse completion response")?;
460 let text = parsed
461 .choices
462 .into_iter()
463 .next()
464 .map(|choice| choice.text)
465 .unwrap_or_default();
466 Ok((text, parsed.id))
467 }
468 }
469}
470
471pub(crate) fn edit_prediction_accepted(
472 store: &EditPredictionStore,
473 current_prediction: CurrentEditPrediction,
474 cx: &App,
475) {
476 let custom_accept_url = env::var("ZED_ACCEPT_PREDICTION_URL").ok();
477 if store.zeta2_raw_config().is_some() && custom_accept_url.is_none() {
478 return;
479 }
480
481 let request_id = current_prediction.prediction.id.to_string();
482 let model_version = current_prediction.prediction.model_version;
483 let require_auth = custom_accept_url.is_none();
484 let client = store.client.clone();
485 let llm_token = store.llm_token.clone();
486 let app_version = AppVersion::global(cx);
487
488 cx.background_spawn(async move {
489 let url = if let Some(accept_edits_url) = custom_accept_url {
490 gpui::http_client::Url::parse(&accept_edits_url)?
491 } else {
492 client
493 .http_client()
494 .build_zed_llm_url("/predict_edits/accept", &[])?
495 };
496
497 let response = EditPredictionStore::send_api_request::<()>(
498 move |builder| {
499 let req = builder.uri(url.as_ref()).body(
500 serde_json::to_string(&AcceptEditPredictionBody {
501 request_id: request_id.clone(),
502 model_version: model_version.clone(),
503 })?
504 .into(),
505 );
506 Ok(req?)
507 },
508 client,
509 llm_token,
510 app_version,
511 require_auth,
512 )
513 .await;
514
515 response?;
516 anyhow::Ok(())
517 })
518 .detach_and_log_err(cx);
519}
520
521pub fn compute_edits(
522 old_text: String,
523 new_text: &str,
524 offset: usize,
525 snapshot: &BufferSnapshot,
526) -> Vec<(Range<Anchor>, Arc<str>)> {
527 compute_edits_and_cursor_position(old_text, new_text, offset, None, snapshot).0
528}
529
530pub fn compute_edits_and_cursor_position(
531 old_text: String,
532 new_text: &str,
533 offset: usize,
534 cursor_offset_in_new_text: Option<usize>,
535 snapshot: &BufferSnapshot,
536) -> (
537 Vec<(Range<Anchor>, Arc<str>)>,
538 Option<PredictedCursorPosition>,
539) {
540 let diffs = text_diff(&old_text, new_text);
541
542 // Delta represents the cumulative change in byte count from all preceding edits.
543 // new_offset = old_offset + delta, so old_offset = new_offset - delta
544 let mut delta: isize = 0;
545 let mut cursor_position: Option<PredictedCursorPosition> = None;
546 let buffer_len = snapshot.len();
547
548 let edits = diffs
549 .iter()
550 .map(|(raw_old_range, new_text)| {
551 // Compute cursor position if it falls within or before this edit.
552 if let (Some(cursor_offset), None) = (cursor_offset_in_new_text, cursor_position) {
553 let edit_start_in_new = (raw_old_range.start as isize + delta) as usize;
554 let edit_end_in_new = edit_start_in_new + new_text.len();
555
556 if cursor_offset < edit_start_in_new {
557 let cursor_in_old = (cursor_offset as isize - delta) as usize;
558 let buffer_offset = (offset + cursor_in_old).min(buffer_len);
559 cursor_position = Some(PredictedCursorPosition::at_anchor(
560 snapshot.anchor_after(buffer_offset),
561 ));
562 } else if cursor_offset < edit_end_in_new {
563 let buffer_offset = (offset + raw_old_range.start).min(buffer_len);
564 let offset_within_insertion = cursor_offset - edit_start_in_new;
565 cursor_position = Some(PredictedCursorPosition::new(
566 snapshot.anchor_before(buffer_offset),
567 offset_within_insertion,
568 ));
569 }
570
571 delta += new_text.len() as isize - raw_old_range.len() as isize;
572 }
573
574 // Compute the edit with prefix/suffix trimming.
575 let mut old_range = raw_old_range.clone();
576 let old_slice = &old_text[old_range.clone()];
577
578 let prefix_len = common_prefix(old_slice.chars(), new_text.chars());
579 let suffix_len = common_prefix(
580 old_slice[prefix_len..].chars().rev(),
581 new_text[prefix_len..].chars().rev(),
582 );
583
584 old_range.start += offset;
585 old_range.end += offset;
586 old_range.start += prefix_len;
587 old_range.end -= suffix_len;
588
589 old_range.start = old_range.start.min(buffer_len);
590 old_range.end = old_range.end.min(buffer_len);
591
592 let new_text = new_text[prefix_len..new_text.len() - suffix_len].into();
593 let range = if old_range.is_empty() {
594 let anchor = snapshot.anchor_after(old_range.start);
595 anchor..anchor
596 } else {
597 snapshot.anchor_after(old_range.start)..snapshot.anchor_before(old_range.end)
598 };
599 (range, new_text)
600 })
601 .collect();
602
603 if let (Some(cursor_offset), None) = (cursor_offset_in_new_text, cursor_position) {
604 let cursor_in_old = (cursor_offset as isize - delta) as usize;
605 let buffer_offset = snapshot.clip_offset(offset + cursor_in_old, Bias::Right);
606 cursor_position = Some(PredictedCursorPosition::at_anchor(
607 snapshot.anchor_after(buffer_offset),
608 ));
609 }
610
611 (edits, cursor_position)
612}
613
614fn common_prefix<T1: Iterator<Item = char>, T2: Iterator<Item = char>>(a: T1, b: T2) -> usize {
615 a.zip(b)
616 .take_while(|(a, b)| a == b)
617 .map(|(a, _)| a.len_utf8())
618 .sum()
619}