refactor(llm): remove GBNF grammar, switch to JSON-envelope extractor
extract_content_tags now generates with grammar=None and parses the response via a manual brace-counting JSON envelope extractor that handles Qwen <think>...</think> prefixes and trailing stop tokens. Five new unit tests. Bumps llama-cpp-2 to 0.1.146. Explicit features=[] on tauri dependency (no-op). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -19,7 +19,7 @@ openmp = ["llama-cpp-2/openmp"]
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magnotia-core = { path = "../core" }
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magnotia-core = { path = "../core" }
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encoding_rs = "0.8"
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encoding_rs = "0.8"
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futures-util = "0.3"
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futures-util = "0.3"
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llama-cpp-2 = { version = "0.1.144", default-features = false }
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llama-cpp-2 = { version = "0.1.146", default-features = false }
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reqwest = { version = "0.12", default-features = false, features = ["rustls-tls", "stream"] }
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reqwest = { version = "0.12", default-features = false, features = ["rustls-tls", "stream"] }
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serde = { version = "1", features = ["derive"] }
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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serde_json = "1"
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@@ -212,6 +212,10 @@ impl LlmEngine {
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generated.push_str(&piece);
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generated.push_str(&piece);
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sampler.accept(next);
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sampler.accept(next);
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if config.grammar.is_some() && json_envelope_complete(&generated) {
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break;
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}
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if let Some(stop_index) = first_stop_index(&generated, &config.stop_sequences) {
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if let Some(stop_index) = first_stop_index(&generated, &config.stop_sequences) {
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generated.truncate(stop_index);
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generated.truncate(stop_index);
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break;
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break;
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@@ -296,13 +300,12 @@ impl LlmEngine {
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}
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}
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/// Phase 9 content-tag extraction. Emits a single (topic, intent)
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/// Phase 9 content-tag extraction. Emits a single (topic, intent)
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/// pair under the `CONTENT_TAGS_GRAMMAR` GBNF. Truncates to the
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/// pair as JSON. Truncates to the trailing 2000 chars of the
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/// trailing 2000 chars of the transcript so the prompt budget
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/// transcript so the prompt budget stays well under any model's
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/// stays well under any model's context window. Determinism is
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/// context window. Determinism is enforced by temperature 0.0;
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/// enforced by temperature 0.0 and the closed-set intent grammar
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/// the parsed intent is re-validated with `is_valid_intent` and
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/// rule; on the rare case the model emits a parse-able-but-out-of-
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/// invalid JSON bubbles as `InvalidJson` so the frontend toasts a
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/// set intent, we re-validate with `is_valid_intent` and bubble
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/// clear error.
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/// `InvalidJson` so the frontend toasts a clear error.
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pub fn extract_content_tags(
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pub fn extract_content_tags(
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&self,
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&self,
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transcript: &str,
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transcript: &str,
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@@ -338,12 +341,11 @@ impl LlmEngine {
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max_tokens: 96,
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max_tokens: 96,
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temperature: 0.0,
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temperature: 0.0,
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stop_sequences: vec!["<|im_end|>".to_string(), "<|im_end_of_text|>".to_string()],
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stop_sequences: vec!["<|im_end|>".to_string(), "<|im_end_of_text|>".to_string()],
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grammar: Some(grammars::CONTENT_TAGS_GRAMMAR.to_string()),
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grammar: None,
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},
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},
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)?;
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)?;
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let tags: prompts::ContentTags = serde_json::from_str(raw.trim())
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let tags: prompts::ContentTags = parse_json_payload(&raw)?;
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.map_err(|e| EngineError::InvalidJson(format!("{e}: raw={raw:?}")))?;
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if !prompts::is_valid_intent(&tags.intent) {
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if !prompts::is_valid_intent(&tags.intent) {
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return Err(EngineError::InvalidJson(format!(
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return Err(EngineError::InvalidJson(format!(
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"intent out of closed set: {}",
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"intent out of closed set: {}",
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@@ -459,6 +461,62 @@ fn first_stop_index(text: &str, stop_sequences: &[String]) -> Option<usize> {
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.min()
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.min()
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}
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}
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fn json_envelope_complete(text: &str) -> bool {
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extract_json_envelope(text) == Some(text.trim())
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}
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fn extract_json_envelope(text: &str) -> Option<&str> {
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let start = text
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.char_indices()
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.find_map(|(idx, ch)| (ch == '{' || ch == '[').then_some(idx))?;
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let mut chars = text[start..].char_indices();
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let (_, first) = chars.next()?;
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let mut stack = vec![match first {
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'{' => '}',
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'[' => ']',
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_ => unreachable!(),
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}];
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let mut in_string = false;
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let mut escaped = false;
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while let Some((offset, ch)) = chars.next() {
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if in_string {
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if escaped {
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escaped = false;
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} else if ch == '\\' {
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escaped = true;
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} else if ch == '"' {
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in_string = false;
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}
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continue;
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}
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match ch {
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'"' => in_string = true,
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'{' => stack.push('}'),
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'[' => stack.push(']'),
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'}' | ']' => {
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if stack.pop() != Some(ch) {
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return None;
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}
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if stack.is_empty() {
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let end = start + offset + ch.len_utf8();
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return Some(&text[start..end]);
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}
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}
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_ => {}
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}
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}
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None
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}
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fn parse_json_payload<T: for<'de> Deserialize<'de>>(raw: &str) -> Result<T, EngineError> {
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let payload = extract_json_envelope(raw).unwrap_or(raw.trim());
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serde_json::from_str(payload).map_err(|e| EngineError::InvalidJson(format!("{e}: raw={raw:?}")))
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}
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fn render_chat_prompt(
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fn render_chat_prompt(
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model: &LlamaModel,
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model: &LlamaModel,
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messages: &[(&str, &str)],
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messages: &[(&str, &str)],
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@@ -548,6 +606,47 @@ mod tests {
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assert_eq!(index, Some(5));
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assert_eq!(index, Some(5));
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}
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}
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#[test]
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fn json_envelope_complete_detects_finished_object() {
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assert!(json_envelope_complete(
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r#"{"topic":"meeting","intent":"planning"}"#
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));
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}
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#[test]
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fn json_envelope_complete_detects_finished_array() {
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assert!(json_envelope_complete(r#"["Call plumber","Buy milk"]"#));
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}
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#[test]
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fn json_envelope_complete_ignores_braces_inside_strings() {
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assert!(!json_envelope_complete(r#"{"topic":"literal } brace""#));
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}
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#[test]
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fn json_envelope_complete_rejects_prefixes_and_trailing_text() {
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assert!(!json_envelope_complete(r#"{"topic":"meeting""#));
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assert!(!json_envelope_complete(r#"{"topic":"meeting"} extra"#));
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}
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#[test]
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fn extract_json_envelope_skips_qwen_thinking_prefix() {
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let raw =
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"<think>\n\n</think>\n\n{\"topic\":\"grant-application\",\"intent\":\"planning\"}";
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assert_eq!(
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extract_json_envelope(raw),
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Some("{\"topic\":\"grant-application\",\"intent\":\"planning\"}"),
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);
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}
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#[test]
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fn extract_json_envelope_handles_arrays_and_trailing_stop_text() {
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assert_eq!(
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extract_json_envelope("prefix [\"Call plumber\",\"Buy milk\"]<|im_end|>"),
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Some("[\"Call plumber\",\"Buy milk\"]"),
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);
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}
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#[test]
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#[test]
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fn prompt_preflight_rejects_oversized_prompt_tokens() {
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fn prompt_preflight_rejects_oversized_prompt_tokens() {
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let err = preflight_context_window(7_105, 1_024).unwrap_err();
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let err = preflight_context_window(7_105, 1_024).unwrap_err();
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@@ -41,7 +41,7 @@ magnotia-llm = { path = "../crates/llm" }
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# autostart plugins are desktop-only — gated below under
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# autostart plugins are desktop-only — gated below under
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# cfg(not(target_os = "android")). The dialog, opener, and notification
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# cfg(not(target_os = "android")). The dialog, opener, and notification
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# plugins all support Android natively so live in the unconditional list.
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# plugins all support Android natively so live in the unconditional list.
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tauri = { version = "2" }
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tauri = { version = "2", features = [] }
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tauri-plugin-opener = "2"
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tauri-plugin-opener = "2"
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tauri-plugin-dialog = "2"
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tauri-plugin-dialog = "2"
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# Phase 6 nudges: OS-native notifications via the frontend-owned nudge
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# Phase 6 nudges: OS-native notifications via the frontend-owned nudge
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