- Replaced legacy `pi/` role alias prefix with canonical `@` syntax across model resolution, documentation, and tests.
- Added support for bare `*` default alias and multiple alias prefix detection with custom role resolution in `resolveConfiguredRolePattern()`.
- Enhanced thinking suffix parsing to accept unambiguous abbreviations (minimum 2 characters) for effort and level selectors.
- Extended `resolveCliModel()` and `filterAvailableModelsByEnabledPatterns()` to accept settings parameter for role alias resolution from `--model` flag.
- Added the `llama3.2:3b` model configuration pointing to the quantized `onnx-community/Llama-3.2-3B-Instruct-ONNX` repository.
- Registered the model in both the available local models registry and list of valid memory model values.
- Documented the new option as a shipped local model choice in the documentation and changelog.
- Dropped `summarizeShakeRegions`, the shake-summary prompt, and related types.
- Removed `shake-summary` compaction strategy and `providers.shakeSummaryModel` setting.
- Migrated existing `shake-summary` configs to plain `shake` on load.
- Simplified `/shake` to `elide` and `images` modes only.
- Fixed Anthropic stream idle-timeout errors incorrectly triggering provider retries after streaming had begun.
- Fixed darwin-x64 `bun build --compile` failure by guarding `onnxruntime-node` preload behind a `process.platform === "win32"` literal for dead-code elimination.
- Added `prefill` and `stop` parameters to the tiny-model worker's `complete` message type to pin output format without biasing content.
- Changed tiny-device preference resolution to always default to CPU instead of platform-specific DirectML/CUDA heuristics.
- Updated settings schema, documentation, and changelog text to describe the CPU default while keeping accelerated providers behind explicit `providers.tinyModelDevice`/`PI_TINY_DEVICE` choices.
- Added persistent settings in the Providers tab for ONNX execution provider and quantization/precision, replacing env-var-only configuration.
- PI_TINY_DEVICE and PI_TINY_DTYPE env vars still override the matching setting at spawn time.
- Added tinyWorkerEnvOverlay to map settings onto worker env without clobbering explicit env vars.
- Updated docs and tests to reflect the new setting-first resolution order.
- Added `PI_TINY_DEVICE` env var to control ONNX execution provider (`gpu` default, `cpu`, `metal`, `cuda`, `dml`, `coreml`).
- Local tiny-model inference now tries accelerated GPU provider first and retries on CPU if initialization fails.
- Added `device.ts` module with normalization, preference resolution, and load-order helpers.
- Updated docs and model descriptions to drop CPU-specific language.
- Added Mnemosyne runtime `extractionPrompt` and `consolidationPrompt` options and wired them into resolved LLM config.
- Added fact-extraction branch to call configured completion first (temp 0), then parse facts and safely fall back.
- Added tiny local model registry features for memory/title, including keys, specs, and validation helpers.
- Added `complete` protocol messages and abort-aware client/worker paths for local title completion generation.
- Added local-models documentation for tiny/memory transformer paths, defaults, and known parser caveats.
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