chore: rebrand from Kon/Corbie to Magnotia

Replace all instances of the legacy product names "Kon" and "Corbie" with
"Magnotia" across user-facing copy, code identifiers, package names, bundle
ids, file paths, and documentation. Preserves the unrelated "konsole" (KDE
terminal) reference and the parent CORBEL company name.

- Renames 10 Rust crates (kon-* → magnotia-*) and the tauri binary
- Updates package.json, tauri.conf.json (productName + identifier)
- Renames CSS classes (kon-rh-* → magnotia-rh-*) and animations
- Renames brand and roadmap docs
- Regenerates Cargo.lock and package-lock.json

Verified: svelte-check passes; pure-rust crates compile under new names.

crates/llm/Cargo.toml

@@ -1,12 +1,12 @@
 [package]
-name = "kon-llm"
+name = "magnotia-llm"
 version = "0.1.0"
 edition = "2021"
 
 [features]
 # Default desktop build keeps the existing openmp + vulkan acceleration.
 # Mobile / CPU-only targets can drop one or both via:
-#   cargo build -p kon-llm --no-default-features
+#   cargo build -p magnotia-llm --no-default-features
 # These are independent so an Android Vulkan build can opt into vulkan
 # without openmp (the NDK ships OpenMP libs but the toolchain configuration
 # is fragile across NDK versions).
@@ -15,7 +15,7 @@ gpu-vulkan = ["llama-cpp-2/vulkan"]
 openmp = ["llama-cpp-2/openmp"]
 
 [dependencies]
-kon-core = { path = "../core" }
+magnotia-core = { path = "../core" }
 encoding_rs = "0.8"
 futures-util = "0.3"
 llama-cpp-2 = { version = "0.1.144", default-features = false }

crates/llm/src/model_manager.rs

@@ -220,7 +220,7 @@ pub fn recommend_tier(total_ram_bytes: u64, total_vram_bytes: Option<u64>) -> Ll
 }
 
 pub fn model_dir() -> PathBuf {
-    kon_core::paths::app_paths().llm_models_dir()
+    magnotia_core::paths::app_paths().llm_models_dir()
 }
 
 pub fn model_path(id: LlmModelId) -> PathBuf {
@@ -301,7 +301,7 @@ where
         .unwrap_or(0);
 
     let client = reqwest::Client::builder()
-        .user_agent("kon/0.1.0")
+        .user_agent("magnotia/0.1.0")
         .connect_timeout(std::time::Duration::from_secs(30))
         .build()
         .map_err(|e| DownloadError::Http(e.to_string()))?;

crates/llm/src/prompts.rs

@@ -45,9 +45,9 @@ context that are not explicit commitments. Output an empty array if there are \
 no action items.";
 
 /// Compact representation of a human-in-the-loop feedback example used
-/// for few-shot prompt conditioning. Built by kon-storage and fed to the
+/// for few-shot prompt conditioning. Built by magnotia-storage and fed to the
 /// prompt builder below; we keep this struct local to the LLM crate so
-/// kon-llm does not depend on kon-storage.
+/// magnotia-llm does not depend on magnotia-storage.
 #[derive(Debug, Clone)]
 pub struct FeedbackExample {
     /// What the AI was given as input (e.g. the parent task text, or

crates/llm/tests/content_tags_smoke.rs

@@ -1,23 +1,23 @@
 //! Smoke test for Phase 9 LlmEngine::extract_content_tags.
 //!
-//! Gated behind the same `KON_LLM_TEST_MODEL` env var as the existing
+//! Gated behind the same `MAGNOTIA_LLM_TEST_MODEL` env var as the existing
 //! smoke.rs test so neither runs in default `cargo test` runs (model
 //! load is heavy). Run explicitly with:
 //!
-//!     KON_LLM_TEST_MODEL=/path/to/model.gguf cargo test -p kon-llm \
+//!     MAGNOTIA_LLM_TEST_MODEL=/path/to/model.gguf cargo test -p magnotia-llm \
 //!         --test content_tags_smoke -- --nocapture
 
 use std::env;
 use std::path::PathBuf;
 
-use kon_llm::{is_valid_intent, LlmEngine, LlmModelId};
+use magnotia_llm::{is_valid_intent, LlmEngine, LlmModelId};
 
 #[test]
 fn extract_content_tags_returns_valid_pair() {
-    let model_path = match env::var("KON_LLM_TEST_MODEL") {
+    let model_path = match env::var("MAGNOTIA_LLM_TEST_MODEL") {
         Ok(path) => PathBuf::from(path),
         Err(_) => {
-            eprintln!("KON_LLM_TEST_MODEL not set — skipping");
+            eprintln!("MAGNOTIA_LLM_TEST_MODEL not set — skipping");
             return;
         }
     };

crates/llm/tests/smoke.rs

@@ -6,20 +6,20 @@
 //! - `context::params::LlamaContextParams`
 //! - `sampling::LlamaSampler`
 //!
-//! The test is gated behind `KON_LLM_TEST_MODEL`.
+//! The test is gated behind `MAGNOTIA_LLM_TEST_MODEL`.
 
 use std::env;
 use std::path::PathBuf;
 
-use kon_llm::LlmEngine;
-use kon_llm::LlmModelId;
+use magnotia_llm::LlmEngine;
+use magnotia_llm::LlmModelId;
 
 #[test]
 fn llama_cpp_2_smoke_generates_and_wraps() {
-    let model_path = match env::var("KON_LLM_TEST_MODEL") {
+    let model_path = match env::var("MAGNOTIA_LLM_TEST_MODEL") {
         Ok(path) => PathBuf::from(path),
         Err(_) => {
-            eprintln!("KON_LLM_TEST_MODEL not set — skipping");
+            eprintln!("MAGNOTIA_LLM_TEST_MODEL not set — skipping");
             return;
         }
     };
@@ -32,7 +32,7 @@ fn llama_cpp_2_smoke_generates_and_wraps() {
     let completion = engine
         .generate(
             "Write exactly one short greeting.",
-            &kon_llm::GenerationConfig {
+            &magnotia_llm::GenerationConfig {
                 max_tokens: 32,
                 temperature: 0.0,
                 stop_sequences: vec!["\n".to_string()],