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agent: lumotia-rebrand — docs, scripts, root config, residuals
Phase 9 of the rebrand cascade. Sweep covers everything the Phase 8
frontend pass deliberately skipped: docs/, root markdown, scripts,
Cargo.toml descriptions, code comments that survived earlier
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transcription-app changes:
- README.md, HANDOVER.md, KNOWN-ISSUES.md, run.sh — magnotia/Magnotia
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- docs/ — sweep across all subdirs except docs/handovers/ (preserved
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- crates/core/src/{error,hardware,recommendation,paths}.rs +
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- Caught on final pass: BroadcastChannel("magnotia_task_sync") -> ...
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- src-tauri/src/lib.rs comment cleanup ("magnotia era" was sed'd
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Preserved (intentional):
- crates/core/src/paths.rs — keeps "magnotia" / "Magnotia" / ".magnotia"
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- src/lib/stores/{page,focusTimer}.svelte.ts + src/lib/i18n/index.ts
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- docs/handovers/ — historical audit trail.

cargo build --workspace passes. npm run check: 0 errors / 0 warnings
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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-13 12:38:03 +01:00

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Markdown

---
name: Inference concurrency (run_inference)
type: architecture-map-page
slice: 03-audio-transcription
last_verified: 2026/05/09
---
# Inference concurrency
> **Where you are:** [Architecture map](../README.md) → [Audio + Transcription](README.md) → Inference concurrency
**Plain English summary.** Whisper and Parakeet inference is synchronous and CPU-bound (or GPU-bound through Vulkan). Running it on the Tokio runtime would block the executor, so every async caller goes through `run_inference`, a thin wrapper that hands the work to `tokio::task::spawn_blocking`. Callers never see the `Arc<LocalEngine>` lock or the spawn boundary; they `await` a `TimedTranscript`.
## At a glance
- Crate: `lumotia-transcription`
- Path: `crates/transcription/src/concurrency.rs`
- LOC: 19
- External deps: `tokio` (rt feature for `spawn_blocking`).
- Internal callers (best effort, slice 2 reconciles): `src-tauri/src/commands/transcription.rs` (file path), `src-tauri/src/commands/live.rs` (per-chunk during live capture).
Public surface:
- `pub async fn run_inference(engine: Arc<LocalEngine>, audio: AudioSamples, options: TranscriptionOptions) -> Result<TimedTranscript>``crates/transcription/src/concurrency.rs:11`.
## What's in here
The whole file:
```rust
pub async fn run_inference(
engine: Arc<LocalEngine>,
audio: AudioSamples,
options: TranscriptionOptions,
) -> Result<TimedTranscript> {
tokio::task::spawn_blocking(move || engine.transcribe_sync(&audio, &options))
.await
.map_err(|e| MagnotiaError::TranscriptionFailed(format!("Task join error: {e}")))?
}
```
`engine` is shared via `Arc` (the engine itself uses an internal mutex for inference / load serialisation). `audio` and `options` are moved into the closure. The double `?` flattens the join-error layer with the inference-error layer.
## Data flow
```
async caller
└─ run_inference(engine, audio, options)
└─ tokio::task::spawn_blocking(move || engine.transcribe_sync(...))
└─ LocalEngine internal mutex → Transcriber::transcribe_sync
→ Vec<Segment> + inference_ms
→ Result<TimedTranscript>
.await + map_err(JoinError → MagnotiaError::TranscriptionFailed)
```
## Watch-outs
- **`spawn_blocking` is the only place inference runs.** Anyone writing a new caller that calls `LocalEngine::transcribe_sync` directly from an async context will block the Tokio executor. Always go through `run_inference`.
- **`Arc<LocalEngine>` is the contract.** The function takes an `Arc`, not `&LocalEngine`, because the engine must outlive the spawned task. The shared state in slice 2 holds the engine inside an `Arc`.
- **Audio and options are moved.** They are not borrowed across the spawn boundary; the caller hands ownership over.
- **JoinError is the only failure mode added by this layer.** `MagnotiaError::TranscriptionFailed("Task join error: ...")` indicates a panic inside `transcribe_sync` or a runtime shutdown. The actual inference errors flow through the inner `Result`.
- **No backpressure here.** Callers issuing many concurrent `run_inference` calls each spawn an independent blocking task. Tokio's default blocking thread pool is 512 threads, but the `LocalEngine` mutex serialises them — only one will actually run inference at a time. Worth knowing if you ever look at thread counts in a profiler.
## See also
- [Transcription engines overview](transcription-engines-overview.md) — `LocalEngine::transcribe_sync` is what runs inside the blocking task.
- [Transcription streaming](transcription-streaming.md) — live capture invokes `run_inference` per chunk.