use anyhow::Result; use edit_prediction::cursor_excerpt; use edit_prediction_types::{ EditPrediction, EditPredictionDelegate, EditPredictionDiscardReason, EditPredictionIconSet, }; use futures::AsyncReadExt; use gpui::{App, AppContext as _, Context, Entity, Global, SharedString, Task}; use http_client::HttpClient; use icons::IconName; use language::{ Anchor, Buffer, BufferSnapshot, EditPreview, language_settings::all_language_settings, }; use language_model::{ApiKeyState, AuthenticateError, EnvVar, env_var}; use serde::{Deserialize, Serialize}; use std::{ ops::Range, sync::Arc, time::{Duration, Instant}, }; use text::ToOffset; pub const CODESTRAL_API_URL: &str = "https://codestral.mistral.ai"; pub const DEBOUNCE_TIMEOUT: Duration = Duration::from_millis(150); static CODESTRAL_API_KEY_ENV_VAR: std::sync::LazyLock = env_var!("CODESTRAL_API_KEY"); struct GlobalCodestralApiKey(Entity); impl Global for GlobalCodestralApiKey {} pub fn codestral_api_key_state(cx: &mut App) -> Entity { if let Some(global) = cx.try_global::() { return global.0.clone(); } let entity = cx.new(|cx| ApiKeyState::new(codestral_api_url(cx), CODESTRAL_API_KEY_ENV_VAR.clone())); cx.set_global(GlobalCodestralApiKey(entity.clone())); entity } pub fn codestral_api_key(cx: &App) -> Option> { let url = codestral_api_url(cx); cx.try_global::()? .0 .read(cx) .key(&url) } pub fn load_codestral_api_key(cx: &mut App) -> Task> { let credentials_provider = zed_credentials_provider::global(cx); let api_url = codestral_api_url(cx); codestral_api_key_state(cx).update(cx, |key_state, cx| { key_state.load_if_needed(api_url, |s| s, credentials_provider, cx) }) } pub fn codestral_api_url(cx: &App) -> SharedString { all_language_settings(None, cx) .edit_predictions .codestral .api_url .clone() .unwrap_or_else(|| CODESTRAL_API_URL.to_string()) .into() } /// Represents a completion that has been received and processed from Codestral. /// This struct maintains the state needed to interpolate the completion as the user types. #[derive(Clone)] struct CurrentCompletion { /// The buffer snapshot at the time the completion was generated. /// Used to detect changes and interpolate edits. snapshot: BufferSnapshot, /// The edits that should be applied to transform the original text into the predicted text. /// Each edit is a range in the buffer and the text to replace it with. edits: Arc<[(Range, Arc)]>, /// Preview of how the buffer will look after applying the edits. edit_preview: EditPreview, } impl CurrentCompletion { /// Attempts to adjust the edits based on changes made to the buffer since the completion was generated. /// Returns None if the user's edits conflict with the predicted edits. fn interpolate(&self, new_snapshot: &BufferSnapshot) -> Option, Arc)>> { edit_prediction_types::interpolate_edits(&self.snapshot, new_snapshot, &self.edits) } } pub struct CodestralEditPredictionDelegate { http_client: Arc, pending_request: Option>>, current_completion: Option, } impl CodestralEditPredictionDelegate { pub fn new(http_client: Arc) -> Self { Self { http_client, pending_request: None, current_completion: None, } } pub fn ensure_api_key_loaded(cx: &mut App) { load_codestral_api_key(cx).detach(); } /// Uses Codestral's Fill-in-the-Middle API for code completion. async fn fetch_completion( http_client: Arc, api_key: &str, prompt: String, suffix: String, model: String, max_tokens: Option, api_url: String, ) -> Result { let start_time = Instant::now(); log::debug!( "Codestral: Requesting completion (model: {}, max_tokens: {:?})", model, max_tokens ); let request = CodestralRequest { model, prompt, suffix: if suffix.is_empty() { None } else { Some(suffix) }, max_tokens: max_tokens.or(Some(350)), temperature: Some(0.2), top_p: Some(1.0), stream: Some(false), stop: None, random_seed: None, min_tokens: None, }; let request_body = serde_json::to_string(&request)?; log::debug!("Codestral: Sending FIM request"); let http_request = http_client::Request::builder() .method(http_client::Method::POST) .uri(format!("{}/v1/fim/completions", api_url)) .header("Content-Type", "application/json") .header("Authorization", format!("Bearer {}", api_key)) .body(http_client::AsyncBody::from(request_body))?; let mut response = http_client.send(http_request).await?; let status = response.status(); log::debug!("Codestral: Response status: {}", status); if !status.is_success() { let mut body = String::new(); response.body_mut().read_to_string(&mut body).await?; return Err(anyhow::anyhow!( "Codestral API error: {} - {}", status, body )); } let mut body = String::new(); response.body_mut().read_to_string(&mut body).await?; let codestral_response: CodestralResponse = serde_json::from_str(&body)?; let elapsed = start_time.elapsed(); if let Some(choice) = codestral_response.choices.first() { let completion = &choice.message.content; log::debug!( "Codestral: Completion received ({} tokens, {:.2}s)", codestral_response.usage.completion_tokens, elapsed.as_secs_f64() ); // Return just the completion text for insertion at cursor Ok(completion.clone()) } else { log::error!("Codestral: No completion returned in response"); Err(anyhow::anyhow!("No completion returned from Codestral")) } } } impl EditPredictionDelegate for CodestralEditPredictionDelegate { fn name() -> &'static str { "codestral" } fn display_name() -> &'static str { "Codestral" } fn show_predictions_in_menu() -> bool { true } fn icons(&self, _cx: &App) -> EditPredictionIconSet { EditPredictionIconSet::new(IconName::AiMistral) } fn is_enabled(&self, _buffer: &Entity, _cursor_position: Anchor, cx: &App) -> bool { codestral_api_key(cx).is_some() } fn is_refreshing(&self, _cx: &App) -> bool { self.pending_request.is_some() } fn refresh( &mut self, buffer: Entity, cursor_position: language::Anchor, debounce: bool, cx: &mut Context, ) { log::debug!("Codestral: Refresh called (debounce: {})", debounce); let Some(api_key) = codestral_api_key(cx) else { log::warn!("Codestral: No API key configured, skipping refresh"); return; }; let snapshot = buffer.read(cx).snapshot(); // Check if current completion is still valid if let Some(current_completion) = self.current_completion.as_ref() { if current_completion.interpolate(&snapshot).is_some() { return; } } let http_client = self.http_client.clone(); // Get settings let settings = all_language_settings(None, cx); let model = settings .edit_predictions .codestral .model .clone() .unwrap_or_else(|| "codestral-latest".to_string()); let max_tokens = settings.edit_predictions.codestral.max_tokens; let api_url = codestral_api_url(cx).to_string(); self.pending_request = Some(cx.spawn(async move |this, cx| { if debounce { log::debug!("Codestral: Debouncing for {:?}", DEBOUNCE_TIMEOUT); cx.background_executor().timer(DEBOUNCE_TIMEOUT).await; } let cursor_offset = cursor_position.to_offset(&snapshot); const MAX_EDITABLE_TOKENS: usize = 350; const MAX_CONTEXT_TOKENS: usize = 150; let (excerpt_point_range, excerpt_offset_range, cursor_offset_in_excerpt) = cursor_excerpt::compute_cursor_excerpt(&snapshot, cursor_offset); let syntax_ranges = cursor_excerpt::compute_syntax_ranges( &snapshot, cursor_offset, &excerpt_offset_range, ); let excerpt_text: String = snapshot.text_for_range(excerpt_point_range).collect(); let (_, context_range) = zeta_prompt::compute_editable_and_context_ranges( &excerpt_text, cursor_offset_in_excerpt, &syntax_ranges, MAX_EDITABLE_TOKENS, MAX_CONTEXT_TOKENS, ); let context_text = &excerpt_text[context_range.clone()]; let cursor_within_excerpt = cursor_offset_in_excerpt .saturating_sub(context_range.start) .min(context_text.len()); let prompt = context_text[..cursor_within_excerpt].to_string(); let suffix = context_text[cursor_within_excerpt..].to_string(); let completion_text = match Self::fetch_completion( http_client, &api_key, prompt, suffix, model, max_tokens, api_url, ) .await { Ok(completion) => completion, Err(e) => { log::error!("Codestral: Failed to fetch completion: {}", e); this.update(cx, |this, cx| { this.pending_request = None; cx.notify(); })?; return Err(e); } }; if completion_text.trim().is_empty() { log::debug!("Codestral: Completion was empty after trimming; ignoring"); this.update(cx, |this, cx| { this.pending_request = None; cx.notify(); })?; return Ok(()); } let edits: Arc<[(Range, Arc)]> = vec![(cursor_position..cursor_position, completion_text.into())].into(); let edit_preview = buffer .read_with(cx, |buffer, cx| buffer.preview_edits(edits.clone(), cx)) .await; this.update(cx, |this, cx| { this.current_completion = Some(CurrentCompletion { snapshot, edits, edit_preview, }); this.pending_request = None; cx.notify(); })?; Ok(()) })); } fn accept(&mut self, _cx: &mut Context) { log::debug!("Codestral: Completion accepted"); self.pending_request = None; self.current_completion = None; } fn discard(&mut self, _reason: EditPredictionDiscardReason, _cx: &mut Context) { log::debug!("Codestral: Completion discarded"); self.pending_request = None; self.current_completion = None; } /// Returns the completion suggestion, adjusted or invalidated based on user edits fn suggest( &mut self, buffer: &Entity, _cursor_position: Anchor, cx: &mut Context, ) -> Option { let current_completion = self.current_completion.as_ref()?; let buffer = buffer.read(cx); let edits = current_completion.interpolate(&buffer.snapshot())?; if edits.is_empty() { return None; } Some(EditPrediction::Local { id: None, edits, cursor_position: None, edit_preview: Some(current_completion.edit_preview.clone()), }) } } #[derive(Debug, Serialize, Deserialize)] pub struct CodestralRequest { pub model: String, pub prompt: String, #[serde(skip_serializing_if = "Option::is_none")] pub suffix: Option, #[serde(skip_serializing_if = "Option::is_none")] pub max_tokens: Option, #[serde(skip_serializing_if = "Option::is_none")] pub temperature: Option, #[serde(skip_serializing_if = "Option::is_none")] pub top_p: Option, #[serde(skip_serializing_if = "Option::is_none")] pub stream: Option, #[serde(skip_serializing_if = "Option::is_none")] pub stop: Option>, #[serde(skip_serializing_if = "Option::is_none")] pub random_seed: Option, #[serde(skip_serializing_if = "Option::is_none")] pub min_tokens: Option, } #[derive(Debug, Deserialize)] pub struct CodestralResponse { pub id: String, pub object: String, pub model: String, pub usage: Usage, pub created: u64, pub choices: Vec, } #[derive(Debug, Deserialize)] pub struct Usage { pub prompt_tokens: u32, pub completion_tokens: u32, pub total_tokens: u32, } #[derive(Debug, Deserialize)] pub struct Choice { pub index: u32, pub message: Message, pub finish_reason: String, } #[derive(Debug, Deserialize)] pub struct Message { pub content: String, pub role: String, }