feat: add local agent MCP tools and optional source-grounded AI answers
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This commit is contained in:
karl committed 2026-10-12 20:28:38 +02:00
1 parent 70746ef428
commit f5b03c6fb0
27 files changed
+2988 -13

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+11
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@@ -3688,6 +3688,15 @@ version = "1.0.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d68f2ec51b097e4c1a75b681a8bec621909b5e91f15bb7b840c4f2f7b01148b2"
[[package]]
name = "searchi-ai"
version = "0.1.0"
dependencies = [
"reqwest 0.12.28",
"serde",
"serde_json",
]
[[package]]
name = "searchi-assets"
version = "0.1.0"
@@ -3720,6 +3729,7 @@ version = "0.1.0"
dependencies = [
"anyhow",
"image",
"searchi-ai",
"searchi-assets",
"searchi-core",
"searchi-media",
@@ -3732,6 +3742,7 @@ dependencies = [
"tauri-plugin-global-shortcut",
"tauri-plugin-opener",
"tempfile",
"uuid",
]
[[package]]
+2
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@@ -26,4 +26,6 @@ searchi-core = { path = "../../../crates/searchi-core" }
searchi-service = { path = "../../../crates/searchi-service" }
searchi-assets = { path = "../../../crates/searchi-assets" }
searchi-media = { path = "../../../crates/searchi-media" }
searchi-ai = { path = "../../../crates/searchi-ai" }
uuid = { version = "1", features = ["v4"] }
image = { version = "0.25", default-features = false, features = ["jpeg", "png", "webp", "bmp"] }
+375
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@@ -0,0 +1,375 @@
//! Explicit optional requests, grounded in a single prepared local source.
//! Credentials are request/session memory only; this module never saves config.
use crate::AppState;
use searchi_ai::{AiAnswer, AiClient, AiConfig, AiMode, AiRequest, AiSource};
use searchi_core::{SearchIndex, SourceLocation};
use serde::{Deserialize, Serialize};
use std::sync::{
atomic::{AtomicBool, AtomicU64, Ordering},
Arc, Mutex,
};
use tauri::State;
#[derive(Default)]
pub(crate) struct AiSession {
prepared: Mutex<Option<Prepared>>,
running: AtomicBool,
latest_revision: AtomicU64,
}
#[derive(Clone)]
struct Prepared {
id: String,
path: String,
source: SourceLocation,
text: String,
revision: u64,
}
#[derive(Deserialize)]
#[serde(deny_unknown_fields)]
pub(crate) struct SourceIdentity {
kind: String,
number: u32,
}
#[derive(Serialize)]
pub(crate) struct SourcePreview {
id: String,
text: String,
location: String,
}
#[derive(Deserialize)]
#[serde(deny_unknown_fields)]
pub(crate) struct GenerateInput {
enabled: bool,
config: AiConfig,
source_id: String,
mode: AiMode,
question: Option<String>,
}
impl AiSession {
fn prepare(
&self,
index: &SearchIndex,
path: &str,
source: SourceLocation,
revision: u64,
) -> Result<SourcePreview, String> {
let passage = index
.source_passage(path, &source, 4096)
.map_err(|_| "Selected passage is unavailable.".to_owned())?
.ok_or("Select an unchanged indexed text passage before using optional AI.")?;
let preview = SourcePreview {
id: uuid::Uuid::new_v4().to_string(),
text: passage.text,
location: format!("{} {}", source.kind, source.number),
};
if preview.text.trim().is_empty() || preview.text.len() > searchi_ai::MAX_SOURCE_TEXT_BYTES
{
return Err("The selected passage is empty or exceeds the AI text limit.".into());
}
let mut catalog = self
.prepared
.lock()
.map_err(|_| "Selected AI source is unavailable.")?;
if revision != self.latest_revision.load(Ordering::Acquire) {
return Err("The selected passage changed while preparing it.".into());
}
*catalog = Some(Prepared {
id: preview.id.clone(),
path: passage.path,
source,
text: preview.text.clone(),
revision,
});
Ok(preview)
}
fn grounded_request(
&self,
index: &SearchIndex,
input: &GenerateInput,
) -> Result<AiRequest, String> {
if !input.enabled {
return Err(
"Enable optional AI and explicitly request an answer before any text is sent."
.into(),
);
}
input.config.validate().map_err(|error| error.to_string())?;
if input.source_id.len() > 64
|| input
.question
.as_ref()
.is_some_and(|question| question.len() > searchi_ai::MAX_QUESTION_BYTES)
{
return Err("AI request exceeds its source or question limit.".into());
}
let prepared = self
.prepared
.lock()
.map_err(|_| "Selected AI source is unavailable.")?
.clone()
.filter(|value| value.id == input.source_id)
.ok_or("Prepare and review the current selected passage before requesting AI.")?;
if prepared.revision != self.latest_revision.load(Ordering::Acquire) {
return Err("Review the current selected passage before requesting AI.".into());
}
let actual = index
.source_passage(&prepared.path, &prepared.source, 4096)
.map_err(|_| "Selected passage is unavailable.".to_owned())?
.ok_or(
"The file changed or is unavailable. Reindex it and review the passage again.",
)?;
if actual.text != prepared.text {
return Err("The indexed passage changed. Review it again before sending.".into());
}
if matches!(input.mode, AiMode::Question)
&& input
.question
.as_ref()
.is_none_or(|value| value.trim().is_empty())
{
return Err("Enter a question about the selected passage.".into());
}
Ok(AiRequest {
mode: input.mode.clone(),
question: if matches!(input.mode, AiMode::Question) {
input.question.clone()
} else {
None
},
sources: vec![AiSource {
id: "selected".into(),
title: "Selected passage".into(),
text: actual.text,
location: Some(format!("{} {}", actual.source.kind, actual.source.number)),
}],
})
}
}
struct RunningGuard(Arc<AiSession>);
impl Drop for RunningGuard {
fn drop(&mut self) {
self.0.running.store(false, Ordering::Release);
}
}
#[tauri::command]
pub(crate) async fn prepare_ai_source(
enabled: bool,
path: String,
source: SourceIdentity,
revision: u64,
state: State<'_, AppState>,
) -> Result<SourcePreview, String> {
if !enabled {
return Err("Optional AI is disabled.".into());
}
if path.len() > 32768 || source.kind.len() > 16 {
return Err("Selected source identity exceeds its limit.".into());
}
let database = state.database.clone();
let session = state.ai.clone();
session
.latest_revision
.fetch_max(revision, Ordering::AcqRel);
tauri::async_runtime::spawn_blocking(move || {
let index = SearchIndex::open(database)
.map_err(|_| "Local source index is unavailable.".to_owned())?;
session.prepare(
&index,
&path,
SourceLocation {
kind: source.kind,
number: source.number,
},
revision,
)
})
.await
.map_err(|_| "Selected passage could not be prepared.".to_owned())?
}
#[tauri::command]
pub(crate) async fn generate_ai(
input: GenerateInput,
state: State<'_, AppState>,
) -> Result<AiAnswer, String> {
if !input.enabled {
return Err("Optional AI is disabled. No text was sent.".into());
}
input.config.validate().map_err(|error| error.to_string())?;
if state
.ai
.running
.compare_exchange(false, true, Ordering::AcqRel, Ordering::Acquire)
.is_err()
{
return Err("An earlier AI request is still finishing. Wait before trying again.".into());
}
let guard = RunningGuard(state.ai.clone());
let database = state.database.clone();
let session = state.ai.clone();
tauri::async_runtime::spawn_blocking(move || {
let _guard = guard;
let index = SearchIndex::open(database)
.map_err(|_| "Local source index is unavailable.".to_owned())?;
let request = session.grounded_request(&index, &input)?;
// This explicit generate action is the sole endpoint call. Paths and
// filenames never enter the source records sent to the client.
let key = input.config.api_key.clone();
let mut answer = AiClient::new(input.config)
.and_then(|client| client.generate(&request))
.map_err(|error| error.to_string())?;
if let Some(key) = key.filter(|key| !key.is_empty()) {
answer.text = answer.text.replace(&key, "[redacted credential]");
answer.model = answer.model.replace(&key, "[redacted credential]");
}
Ok(answer)
})
.await
.map_err(|_| "AI request could not finish.".to_owned())?
}
#[cfg(test)]
mod tests {
use super::*;
fn fixture() -> (tempfile::TempDir, SearchIndex, String) {
let root = tempfile::tempdir().unwrap();
let path = root.path().join("private-title.txt");
std::fs::write(&path, "Supplier cancellation requires sixty days notice.").unwrap();
let mut index = SearchIndex::open(root.path().join("index.sqlite")).unwrap();
index.index_folder(root.path()).unwrap();
let selected_path = index.search("private-title", 1).unwrap()[0].path.clone();
(root, index, selected_path)
}
fn config() -> AiConfig {
AiConfig {
base_url: "http://127.0.0.1:1/v1".into(),
model: "configured-model".into(),
api_key: Some("session-secret-key".into()),
}
}
#[test]
fn disabled_unknown_and_changed_sources_cannot_form_network_requests() {
let (_root, index, path) = fixture();
let session = AiSession::default();
let preview = session
.prepare(
&index,
&path,
SourceLocation {
kind: "line".into(),
number: 1,
},
0,
)
.unwrap();
let mut input = GenerateInput {
enabled: false,
config: config(),
source_id: preview.id.clone(),
mode: AiMode::Summary,
question: None,
};
assert!(session.grounded_request(&index, &input).is_err());
input.enabled = true;
input.source_id = "unknown".into();
assert!(session.grounded_request(&index, &input).is_err());
input.source_id = preview.id;
std::fs::write(path, "changed").unwrap();
assert!(session.grounded_request(&index, &input).is_err());
}
#[test]
fn prepared_preview_equals_outgoing_text_without_filename_path_or_credential() {
let (_root, index, path) = fixture();
let session = AiSession::default();
let preview = session
.prepare(
&index,
&path,
SourceLocation {
kind: "line".into(),
number: 1,
},
0,
)
.unwrap();
let input = GenerateInput {
enabled: true,
config: config(),
source_id: preview.id.clone(),
mode: AiMode::Summary,
question: None,
};
let request = session.grounded_request(&index, &input).unwrap();
assert_eq!(request.sources[0].text, preview.text);
let json = serde_json::to_string(&request).unwrap();
assert!(!json.contains("private-title"));
assert!(!json.contains(&path));
assert!(!json.contains("session-secret"));
assert!(
!serde_json::to_string(&crate::settings::Settings::default())
.unwrap()
.contains("api_key")
);
}
#[test]
fn source_replacement_and_question_limits_are_enforced_offline() {
let (_root, index, path) = fixture();
let session = AiSession::default();
let first = session
.prepare(
&index,
&path,
SourceLocation {
kind: "line".into(),
number: 1,
},
0,
)
.unwrap();
session
.prepare(
&index,
&path,
SourceLocation {
kind: "line".into(),
number: 1,
},
0,
)
.unwrap();
let input = GenerateInput {
enabled: true,
config: config(),
source_id: first.id,
mode: AiMode::Question,
question: Some("x".repeat(2049)),
};
assert!(session.grounded_request(&index, &input).is_err());
}
#[test]
fn older_preparation_cannot_replace_current_catalog_or_send_stale_source() {
let (_root, index, path) = fixture();
let session = AiSession::default();
session.latest_revision.store(2, Ordering::Release);
let source = SourceLocation {
kind: "line".into(),
number: 1,
};
let current = session.prepare(&index, &path, source.clone(), 2).unwrap();
assert!(session.prepare(&index, &path, source, 1).is_err());
let input = GenerateInput {
enabled: true,
config: config(),
source_id: current.id,
mode: AiMode::Summary,
question: None,
};
assert!(session.grounded_request(&index, &input).is_ok());
session.latest_revision.store(3, Ordering::Release);
assert!(session.grounded_request(&index, &input).is_err());
}
}
+6
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@@ -1,9 +1,11 @@
#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
mod ai_commands;
mod model_download;
mod semantic_commands;
mod settings;
use ai_commands::{generate_ai, prepare_ai_source, AiSession};
use searchi_core::metrics::{MetricsMode, SearchMetrics, SearchResponse, TraceCollector};
use searchi_core::{IndexReport, IndexStats, SearchIndex, SearchOptions, SearchResult};
use semantic_commands::{
@@ -25,6 +27,7 @@ use tauri_plugin_global_shortcut::{GlobalShortcutExt, ShortcutState};
use tauri_plugin_opener::OpenerExt;
struct AppState {
ai: Arc<AiSession>,
database: PathBuf,
lexical: Arc<Mutex<SearchIndex>>,
indexing: Arc<AtomicBool>,
@@ -461,6 +464,7 @@ fn main() {
}
};
app.manage(AppState {
ai: Arc::new(AiSession::default()),
database,
lexical,
indexing: Arc::new(AtomicBool::new(false)),
@@ -471,6 +475,8 @@ fn main() {
Ok(())
})
.invoke_handler(tauri::generate_handler![
prepare_ai_source,
generate_ai,
search,
search_measured,
stats,
+86
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@@ -0,0 +1,86 @@
/** Optional generation is separate from local search and never starts itself. */
export interface AiConfiguration {
enabled: boolean;
base_url: string;
model: string;
api_key: string | null;
}
const bytes = (text: string) => new TextEncoder().encode(text).length;
export function aiConfigurationProblem(config: AiConfiguration): string | null {
if (!config.enabled) return "Optional AI is disabled.";
let endpoint: URL;
try {
endpoint = new URL(config.base_url);
} catch {
return "Enter your OpenAI-compatible endpoint URL.";
}
if (
!["http:", "https:"].includes(endpoint.protocol) ||
endpoint.username ||
endpoint.password ||
endpoint.search ||
endpoint.hash ||
bytes(config.base_url) > 2048
)
return "Use an HTTP(S) endpoint without URL credentials, query or fragment.";
if (
!config.model.trim() ||
bytes(config.model) > 200 ||
/[\u0000-\u001f\u007f]/u.test(config.model)
)
return "Enter a model name (up to 200 bytes).";
if (
config.api_key &&
(bytes(config.api_key) > 2048 ||
/[\u0000-\u001f\u007f]/u.test(config.api_key))
)
return "The session API key is invalid or too long.";
return null;
}
export function aiQuestionProblem(question: string): string | null {
return !question.trim()
? "Enter a question about this passage."
: bytes(question) > 2048
? "The question exceeds 2048 bytes."
: null;
}
export function aiEndpointLabel(baseURL: string) {
try {
return new URL(baseURL).origin;
} catch {
return "your configured endpoint";
}
}
export function aiSourceEligible(
source?: { kind: string; number: number },
media = false,
) {
return (
!media &&
Boolean(
source &&
["page", "paragraph", "line"].includes(source.kind) &&
Number.isInteger(source.number) &&
source.number > 0,
)
);
}
export class AiRevision {
private revision = 0;
private selection = "";
invalidate() {
this.revision++;
}
select(selection: string) {
if (selection !== this.selection) {
this.selection = selection;
this.invalidate();
}
}
current() {
return this.revision;
}
accepts(revision: number) {
return revision === this.revision;
}
}
+221 -3
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@@ -22,6 +22,14 @@ import {
} from "./search-performance";
import type { MeasuredResponse, SearchLane } from "./search-performance";
import { displayPath } from "./path-display";
import {
AiRevision,
aiConfigurationProblem,
aiQuestionProblem,
aiEndpointLabel,
aiSourceEligible,
} from "./ai-state";
import type { AiConfiguration } from "./ai-state";
import {
literalQuery,
renderHighlighted,
@@ -104,13 +112,13 @@ interface SearchRequest {
}
document.querySelector<HTMLDivElement>("#app")!.innerHTML = `
<header><div class="brand"><img class="brand-symbol" src="/searchi-symbol.png" alt=""><span class="wordmark">searchi</span></div><span id="index-status" class="index-status">Loading your index…</span><div class="header-actions"><button id="add-folder" class="quiet-button" type="button">${icon("folderAdd")}<span>Add folder</span></button><details id="filters" class="popover"><summary>${icon("filter")}<span>All files</span>${icon("chevron")}</summary><div class="popover-panel"><h2>Filter your search</h2><div class="filters-grid"><label>Within folder<input id="filter-folder" placeholder="Absolute folder path"></label><label>Extension<input id="filter-extension" placeholder="pdf, md, txt…"></label><label>Minimum size (bytes)<input id="filter-min" type="number" min="0" step="1"></label><label>Maximum size (bytes)<input id="filter-max" type="number" min="0" step="1"></label><label>Minimum duration (seconds)<input id="filter-duration-min" type="number" min="0" step="0.1"></label><label>Maximum duration (seconds)<input id="filter-duration-max" type="number" min="0" step="0.1"></label><label>Modified from<input id="filter-after" type="date"></label><label>Modified through<input id="filter-before" type="date"></label></div></div></details><details id="settings" class="popover"><summary class="icon-button" aria-label="Settings" title="Settings">${icon("settings")}</summary><div class="popover-panel"><h2>Folders & resources</h2><p id="shortcut-status" class="hint"></p><label class="resource-label" for="cpu-threads">CPU thread budget</label><select id="cpu-threads">${Array.from({ length: 8 }, (_, i) => `<option value="${i + 1}">${i + 1} ${i ? "threads" : "thread (default)"}</option>`).join("")}</select><p class="hint">Search automatically uses supported acceleration with CPU fallback.</p><ul id="roots" aria-label="Selected folders"></ul><label class="performance-toggle"><input id="performance-toggle" type="checkbox">Performance details</label><p class="hint">Local timing diagnostics for new searches. Queries and file paths are excluded from copied reports.</p></div></details></div></header>
<header><div class="brand"><img class="brand-symbol" src="/searchi-symbol.png" alt=""><span class="wordmark">searchi</span></div><span id="index-status" class="index-status">Loading your index…</span><div class="header-actions"><button id="add-folder" class="quiet-button" type="button">${icon("folderAdd")}<span>Add folder</span></button><details id="filters" class="popover"><summary>${icon("filter")}<span>All files</span>${icon("chevron")}</summary><div class="popover-panel"><h2>Filter your search</h2><div class="filters-grid"><label>Within folder<input id="filter-folder" placeholder="Absolute folder path"></label><label>Extension<input id="filter-extension" placeholder="pdf, md, txt…"></label><label>Minimum size (bytes)<input id="filter-min" type="number" min="0" step="1"></label><label>Maximum size (bytes)<input id="filter-max" type="number" min="0" step="1"></label><label>Minimum duration (seconds)<input id="filter-duration-min" type="number" min="0" step="0.1"></label><label>Maximum duration (seconds)<input id="filter-duration-max" type="number" min="0" step="0.1"></label><label>Modified from<input id="filter-after" type="date"></label><label>Modified through<input id="filter-before" type="date"></label></div></div></details><details id="settings" class="popover"><summary class="icon-button" aria-label="Settings" title="Settings">${icon("settings")}</summary><div class="popover-panel"><h2>Folders & resources</h2><p id="shortcut-status" class="hint"></p><label class="resource-label" for="cpu-threads">CPU thread budget</label><select id="cpu-threads">${Array.from({ length: 8 }, (_, i) => `<option value="${i + 1}">${i + 1} ${i ? "threads" : "thread (default)"}</option>`).join("")}</select><p class="hint">Search automatically uses supported acceleration with CPU fallback.</p><ul id="roots" aria-label="Selected folders"></ul><label class="performance-toggle"><input id="performance-toggle" type="checkbox">Performance details</label><p class="hint">Local timing diagnostics for new searches. Queries and file paths are excluded from copied reports.</p><details id="ai-settings" class="ai-settings"><summary>Optional AI answers</summary><label class="performance-toggle"><input id="ai-enabled" type="checkbox">Enable summaries and questions</label><p class="hint">Disabled by default. Only an explicit action sends the shown passage to your configured endpoint.</p><label>OpenAI-compatible base URL<input id="ai-endpoint" type="url" placeholder="http://localhost:1234/v1" autocomplete="off" maxlength="2048"></label><label>Model<input id="ai-model" placeholder="Your model name" autocomplete="off" maxlength="200"></label><label>API key (optional, this session only)<input id="ai-key" type="password" autocomplete="off" maxlength="2048"></label><button id="ai-clear-key" type="button">Clear key</button><p class="hint">Endpoint, model and key stay in this app session. The key authenticates requests to your endpoint.</p></details></div></details></div></header>
<main>
<form id="search-form" role="search"><label class="sr-only" for="query">Search your files</label>${icon("search")}<input id="query" type="search" placeholder="Search a filename, phrase, or what you remember…" autocomplete="off" spellcheck="false" maxlength="1000"><kbd id="focus-shortcut">Ctrl K</kbd><button id="clear-query" class="icon-button" type="button" aria-label="Clear search" title="Clear search">${icon("dismiss")}</button></form>
<details id="semantic-panel"><summary>${icon("sparkles")}<span id="semantic-status" role="status" aria-live="polite">Preparing local semantic search…</span><span id="semantic-device" class="kind">Local model</span>${icon("chevron")}</summary><div class="semantic-content"><strong>Google EmbeddingGemma 2</strong><progress id="semantic-progress" aria-label="Local model setup progress"></progress><p id="semantic-detail" class="hint">The verified local model downloads automatically on first launch (865 MB). Your files stay on this device.</p><div class="semantic-actions"><button id="retry-model" type="button" hidden>Retry model setup</button><button id="rebuild-semantic" type="button" hidden>Rebuild semantic index</button></div></div></details>
<form id="folder-form" hidden><label for="folder">Folder to index</label><div class="folder-row"><input id="folder" placeholder="Absolute folder path" required><button id="browse-folder" type="button">Browse…</button><button type="submit">Index folder</button><button id="cancel-folder" type="button">Cancel</button></div><p class="hint">Only choose folders you want searched. Large folders may take a while.</p></form>
<p id="notice" role="status" aria-live="polite"></p><details id="performance-panel" hidden><summary>Performance details</summary><div id="performance-detail"></div><button id="copy-performance" type="button">Copy local timing report</button><span id="copy-performance-status" role="status"></span></details><div class="workspace"><section class="results-pane" aria-label="Search results"><p id="result-summary" class="eyebrow">READY WHEN YOU ARE</p><ul id="results" aria-label="Matching files"></ul><div id="empty">${icon("search")}<h2>Find what matters. Locally.</h2><p>Index a folder, then search a filename, phrase, or what you remember.</p></div></section><aside id="preview" aria-label="Result preview" hidden><div class="preview-header"><span id="preview-icon" class="file-icon"></span><div class="preview-heading"><h2 id="preview-title"></h2><p id="preview-path" class="path"></p></div></div><div class="preview-toolbar"><span id="preview-kind"></span><div class="preview-actions"><button id="open-result" type="button">${icon("open")}<span>Open file</span></button><button id="reveal-result" type="button" title="Show in folder" aria-label="Show in folder">${icon("folder")}</button></div></div><details id="match-details" class="match-details"><summary>Why this result?</summary><p id="match-reason"></p><p id="match-legend"></p></details><div id="media-preview" class="media-preview" hidden></div><p id="media-preview-status" class="hint" role="status" hidden></p><div class="passage"><p id="passage-label" class="eyebrow">EXTRACTED PASSAGE</p><pre id="preview-text"></pre></div></aside></div>
</main><footer><span class="footer-privacy">${icon("lock")}<span>Private search. Everything stays on your device.</span><span id="privacy" class="privacy">Local</span></span><span class="keyboard-hints"><kbd>${icon("arrowUp")}</kbd><kbd>${icon("arrowDown")}</kbd><span>Navigate</span><kbd>Enter</kbd><span>Open</span><kbd>Esc</kbd><span>Clear</span></span></footer>`;
<p id="notice" role="status" aria-live="polite"></p><details id="performance-panel" hidden><summary>Performance details</summary><div id="performance-detail"></div><button id="copy-performance" type="button">Copy local timing report</button><span id="copy-performance-status" role="status"></span></details><div class="workspace"><section class="results-pane" aria-label="Search results"><p id="result-summary" class="eyebrow">READY WHEN YOU ARE</p><ul id="results" aria-label="Matching files"></ul><div id="empty">${icon("search")}<h2>Find what matters. Locally.</h2><p>Index a folder, then search a filename, phrase, or what you remember.</p></div></section><aside id="preview" aria-label="Result preview" hidden><div class="preview-header"><span id="preview-icon" class="file-icon"></span><div class="preview-heading"><h2 id="preview-title"></h2><p id="preview-path" class="path"></p></div></div><div class="preview-toolbar"><span id="preview-kind"></span><div class="preview-actions"><button id="open-result" type="button">${icon("open")}<span>Open file</span></button><button id="reveal-result" type="button" title="Show in folder" aria-label="Show in folder">${icon("folder")}</button></div></div><details id="match-details" class="match-details"><summary>Why this result?</summary><p id="match-reason"></p><p id="match-legend"></p></details><div id="media-preview" class="media-preview" hidden></div><p id="media-preview-status" class="hint" role="status" hidden></p><details id="ai-panel" class="ai-panel" hidden><summary>Summarize or ask</summary><p id="ai-disclosure" class="hint"></p><p class="eyebrow">PASSAGE THAT WILL BE SENT</p><pre id="ai-source-text"></pre><div class="ai-actions"><button id="ai-summarize" type="button" disabled>Summarize this passage</button><label class="sr-only" for="ai-question">Question about this passage</label><input id="ai-question" placeholder="Ask about this passage…" maxlength="2048"><button id="ai-ask" type="button" disabled>Ask</button></div><p id="ai-status" class="hint" role="status"></p><pre id="ai-answer"></pre><p id="ai-answer-label" class="hint"></p><button id="ai-citation" type="button" hidden>Selected source</button></details><div class="passage"><p id="passage-label" class="eyebrow">EXTRACTED PASSAGE</p><pre id="preview-text"></pre></div></aside></div>
</main><footer><span class="footer-privacy">${icon("lock")}<span id="privacy-summary">Private search. Everything stays on your device.</span><span id="privacy" class="privacy">Local</span></span><span class="keyboard-hints"><kbd>${icon("arrowUp")}</kbd><kbd>${icon("arrowDown")}</kbd><span>Navigate</span><kbd>Enter</kbd><span>Open</span><kbd>Esc</kbd><span>Clear</span></span></footer>`;
const element = <T extends HTMLElement>(id: string) =>
document.getElementById(id) as T;
@@ -472,6 +480,210 @@ function showError(error: unknown) {
notice.textContent = String(error);
notice.className = "error";
}
interface AiPreview {
id: string;
text: string;
location: string;
}
interface AiAnswer {
text: string;
citations: string[];
model: string;
}
const aiRevision = new AiRevision();
let aiSelectionKey = "";
let aiPrepared: AiPreview | null = null;
let aiRunning = false;
function aiConfiguration(): AiConfiguration {
return {
enabled: element<HTMLInputElement>("ai-enabled").checked,
base_url: element<HTMLInputElement>("ai-endpoint").value.trim(),
model: element<HTMLInputElement>("ai-model").value.trim(),
api_key: element<HTMLInputElement>("ai-key").value || null,
};
}
function clearAiAnswer() {
element("ai-answer").textContent = "";
element("ai-answer-label").textContent = "";
element("ai-citation").hidden = true;
}
function updateAiControls() {
const config = aiConfiguration();
const panel = element<HTMLDetailsElement>("ai-panel");
panel.hidden = !config.enabled;
const result = results[selected];
const eligible = aiSourceEligible(
result?.source,
Boolean(result && mediaKind(result.filename)),
);
const problem = aiConfigurationProblem(config);
const blocked =
!isNativeDesktop() ||
Boolean(problem) ||
!eligible ||
!aiPrepared ||
aiRunning;
element<HTMLButtonElement>("ai-summarize").disabled = blocked;
element<HTMLButtonElement>("ai-ask").disabled =
blocked ||
Boolean(aiQuestionProblem(element<HTMLInputElement>("ai-question").value));
element("ai-disclosure").textContent = !isNativeDesktop()
? "Optional AI actions are available only in the desktop app."
: !eligible
? "Select a result with an indexed text passage to summarize or ask a question."
: problem
? `${problem} Configuration stays in this app session.`
: `Clicking Summarize or Ask sends the exact passage shown below and, for Ask, your question to ${aiEndpointLabel(config.base_url)}. File names and folder paths aren't added. Your session key authenticates that endpoint.`;
element("privacy-summary").textContent =
aiRunning && !config.enabled
? "Local search. An earlier optional AI request is finishing."
: config.enabled
? "Local search. Optional AI shares the shown passage only when requested."
: "Private search. Everything stays on your device.";
}
const aiPreparation = new LatestLane<{
revision: number;
path: string;
source: { kind: string; number: number };
}>(
async (request) => {
const preview = await invoke<AiPreview>("prepare_ai_source", {
enabled: true,
path: request.path,
source: request.source,
revision: request.revision,
});
if (!aiRevision.accepts(request.revision)) return;
aiPrepared = preview;
element("ai-source-text").textContent = preview.text;
element("ai-status").textContent =
`Review the passage beginning from ${preview.location}. Only this shown excerpt will be sent.`;
updateAiControls();
},
(request) => aiRevision.accepts(request.revision),
(_request, error) => {
element("ai-status").textContent = String(error);
updateAiControls();
},
);
function prepareAiSource() {
const result = results[selected];
if (
!aiConfiguration().enabled ||
!isNativeDesktop() ||
!result?.source ||
!aiSourceEligible(result.source, Boolean(mediaKind(result.filename)))
)
return;
element("ai-status").textContent =
"Preparing the selected local passage. Nothing is sent to the endpoint.";
aiPreparation.submit({
revision: aiRevision.current(),
path: result.path,
source: { kind: result.source.kind, number: result.source.number },
});
}
function updateAiSelection(key: string) {
if (aiSelectionKey !== key) {
aiSelectionKey = key;
aiRevision.select(key);
aiPreparation.clear();
aiPrepared = null;
element("ai-source-text").textContent = "";
element<HTMLInputElement>("ai-question").value = "";
element("ai-status").textContent = "";
clearAiAnswer();
updateAiControls();
if (element<HTMLDetailsElement>("ai-panel").open) prepareAiSource();
}
}
async function requestAi(mode: "summary" | "question") {
const config = aiConfiguration();
const question = element<HTMLInputElement>("ai-question").value.trim();
const problem =
aiConfigurationProblem(config) ||
(mode === "question" ? aiQuestionProblem(question) : null);
if (problem || !aiPrepared || !isNativeDesktop() || aiRunning) {
element("ai-status").textContent =
problem || "Prepare and review the current selected passage first.";
return;
}
const revision = aiRevision.current();
const source = aiPrepared;
aiRunning = true;
clearAiAnswer();
updateAiControls();
element("ai-status").textContent =
`Sending the shown passage${mode === "question" ? " and question" : ""} to ${aiEndpointLabel(config.base_url)}…`;
const started = performance.now();
try {
const answer = await invoke<AiAnswer>("generate_ai", {
input: {
enabled: true,
config: {
base_url: config.base_url,
model: config.model,
api_key: config.api_key,
},
source_id: source.id,
mode,
question: mode === "question" ? question : null,
},
});
if (!aiRevision.accepts(revision)) return;
element("ai-answer").textContent = answer.text;
element("ai-answer-label").textContent =
`Model-generated ${answer.citations.length ? "draft" : "uncited draft"} · ${answer.model} · ${briefMs(performance.now() - started)} ms. Verify against the passage.`;
element("ai-status").textContent = "";
const citation = element<HTMLButtonElement>("ai-citation");
citation.hidden = !answer.citations.includes("selected");
citation.textContent = `Source: ${source.location}`;
} catch (error) {
if (aiRevision.accepts(revision))
element("ai-status").textContent = String(error);
} finally {
aiRunning = false;
updateAiControls();
}
}
element("ai-panel").addEventListener("toggle", () => {
if (element<HTMLDetailsElement>("ai-panel").open && !aiPrepared)
prepareAiSource();
});
for (const id of ["ai-enabled", "ai-endpoint", "ai-model", "ai-key"]) {
element(id).addEventListener("input", () => {
aiRevision.invalidate();
aiPreparation.clear();
aiPrepared = null;
clearAiAnswer();
element("ai-source-text").textContent = "";
updateAiControls();
if (element<HTMLDetailsElement>("ai-panel").open) prepareAiSource();
});
}
element("ai-question").addEventListener("input", () => {
aiRevision.invalidate();
clearAiAnswer();
updateAiControls();
if (!aiPrepared && element<HTMLDetailsElement>("ai-panel").open)
prepareAiSource();
});
element("ai-clear-key").addEventListener("click", () => {
element<HTMLInputElement>("ai-key").value = "";
element("ai-key").dispatchEvent(new Event("input"));
});
element("ai-summarize").addEventListener("click", () => {
void requestAi("summary");
});
element("ai-ask").addEventListener("click", () => {
void requestAi("question");
});
element("ai-citation").addEventListener("click", () => {
element("ai-source-text").scrollIntoView({
behavior: reducedMotion.matches ? "auto" : "smooth",
block: "nearest",
});
});
function select(index: number, focus = false) {
if (!results.length) return;
selected = Math.max(0, Math.min(index, results.length - 1));
@@ -537,6 +749,7 @@ function select(index: number, focus = false) {
if (explanationKey !== explainedSelection)
element<HTMLDetailsElement>("match-details").open = false;
explainedSelection = explanationKey;
updateAiSelection(explanationKey);
element<HTMLButtonElement>("open-result").title = result.source
? `Open in your default application. The matched location ${sourceLabel(result.source)} is shown in Searchi; default application opening starts at its own location.`
: "Open in your default application";
@@ -583,6 +796,7 @@ function render() {
element("preview").hidden = true;
previewPath = null;
clearMedia();
updateAiSelection("");
}
results.forEach((result, i) => {
let entry = resultRows.get(result.path);
@@ -1126,6 +1340,10 @@ async function initializeSurface() {
"retry-model",
"rebuild-semantic",
"cpu-threads",
"ai-enabled",
"ai-endpoint",
"ai-model",
"ai-key",
]) {
const control = element<HTMLButtonElement>(id);
control.disabled = true;
+56
View File
@@ -864,6 +864,62 @@ mark[data-match="literal"] {
#match-legend {
font-size: 10px;
}
.ai-settings {
margin-top: 14px;
}
.ai-settings summary {
cursor: pointer;
font-weight: 600;
}
.ai-settings label:not(.performance-toggle) {
display: block;
margin: 10px 0;
}
.ai-settings input:not([type="checkbox"]) {
width: 100%;
margin-top: 4px;
}
.ai-panel {
margin: 0 20px 12px;
font-size: 11px;
color: var(--muted);
}
.ai-panel summary {
cursor: pointer;
width: fit-content;
}
.ai-panel .eyebrow {
margin: 12px 0 6px;
}
#ai-source-text,
#ai-answer {
max-height: 150px;
overflow: auto;
padding: 10px;
border: 1px solid var(--line);
border-radius: 7px;
background: var(--surface);
color: var(--ink);
font-size: 12px;
line-height: 1.6;
}
#ai-answer:empty {
display: none;
}
.ai-actions {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-top: 10px;
}
.ai-actions input {
flex: 1 1 170px;
min-width: 0;
}
.ai-actions button,
#ai-citation {
font-size: 11px;
}
@media (prefers-color-scheme: dark) {
mark[data-match="literal"] {
background: #65531e;
+33
View File
@@ -0,0 +1,33 @@
import test from 'node:test';
import assert from 'node:assert/strict';
import {AiRevision,aiConfigurationProblem,aiQuestionProblem,aiEndpointLabel,aiSourceEligible} from '../src/ai-state.ts';
const config=()=>({enabled:false,base_url:'',model:'',api_key:null});
test('optional generation is disabled initially and requires an explicit endpoint/model',()=>{
assert.match(aiConfigurationProblem(config()),/disabled/);
assert.match(aiConfigurationProblem({...config(),enabled:true}),/endpoint/);
assert.equal(aiConfigurationProblem({...config(),enabled:true,base_url:'http://localhost:1234/v1',model:'local-model'}),null);
assert.equal(aiConfigurationProblem({...config(),enabled:true,base_url:'https://chosen.example/v1',model:'chosen-model',api_key:'session-key'}),null);
});
test('unsafe URL credentials and query parameters cannot leak through configuration errors',()=>{
const secret='private-session-key';
for(const base_url of [`https://user:${secret}@example.com/v1`,`https://example.com/v1?key=${secret}`,'file:///secret']){
const error=aiConfigurationProblem({...config(),enabled:true,base_url,model:'m'});
assert.ok(error);assert.ok(!error.includes(secret));
}
assert.equal(aiEndpointLabel(`https://user:${secret}@example.com/v1?key=${secret}`),'https://example.com');
});
test('UTF8 byte budgets and actual text source types gate explicit questions',()=>{
assert.ok(aiQuestionProblem('界'.repeat(700)));
assert.equal(aiQuestionProblem('What notice is required?'),null);
assert.equal(aiSourceEligible({kind:'page',number:2}),true);
assert.equal(aiSourceEligible({kind:'timestamp_ms',number:100}),false);
assert.equal(aiSourceEligible({kind:'page',number:2},true),false);
assert.equal(aiSourceEligible(undefined),false);
});
test('selection/configuration changes invalidate older preparation and answers',()=>{
const revision=new AiRevision();revision.select('first:page2');const old=revision.current();
revision.select('second:page1');assert.equal(revision.accepts(old),false);
const selected=revision.current();revision.select('second:page1');assert.equal(revision.accepts(selected),true);
revision.invalidate();assert.equal(revision.accepts(selected),false);
});