feat(capture): dictation, personalities, 0.5.0

Ships the Capture release end to end. Global-hotkey dictation with
synthetic paste into the focused app on macOS and Windows, an on-screen
pill across recording / transcribing / refining, customizable push-to-
talk and toggle chords, and an accessibility-permission prompt scoped to
Settings → Captures with inline re-check feedback.

Voice profiles gain optional personalities that power compose / rewrite /
respond actions via a local Qwen3 LLM — shared with refinement, so there
is one local LLM in the app, not two.

Refinement hardened with deterministic Whisper-loop collapse before the
LLM sees the transcript, per-capture flag snapshots for re-runs, and a
ten-transcript evaluation harness across every bundled refinement size.

Version bump 0.4.5 → 0.5.0.

Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>

backend/services/history.py

@@ -65,6 +65,7 @@ async def create_generation(
     status: str = "completed",
     engine: Optional[str] = "qwen",
     model_size: Optional[str] = None,
+    source: str = "manual",
 ) -> GenerationResponse:
     """
     Create a new generation history entry.
@@ -82,6 +83,10 @@ async def create_generation(
         status: Generation status (generating, completed, failed)
         engine: TTS engine used (qwen, luxtts, chatterbox, chatterbox_turbo)
         model_size: Model size variant (1.7B, 0.6B) — only relevant for qwen
+        source: Origin marker stored on the row. ``"manual"`` for regular
+            /generate calls; ``"personality_speak"`` for rows created
+            by the /profiles/{id}/speak endpoint. Enables filtering the
+            history view for personality-driven output.
 
     Returns:
         Created generation entry
@@ -98,6 +103,7 @@ async def create_generation(
         engine=engine,
         model_size=model_size,
         status=status,
+        source=source,
         created_at=datetime.utcnow(),
     )