* Compute a downscaled size that fits within `maxDim` while * preserving aspect ratio. Returns original size if already small enough.

* Flush all queued telemetry events immediately.

* Flush pending telemetry events * * Sends all queued events to the backend immediately. * Call this on app background/exit to ensure events

Flush pending writes

* Flush pending telemetry events immediately * Sends all queued events to the backend

* Get configuration for a specific environment. */

Compact format for local models — fewer entries, shorter text. */

* Ultra-compact tool format for on-device 1.2B models. * Minimizes token usage (~80 tokens total for 8 tools). */

Convert TypeScript format string to C++ enum

* Format chat messages as a prompt string for LFM2 models * Uses ChatML format: <|im_start|>role\ncontent<|im_end|>

* Format a model ID into a shorter, display-friendly name.

* Format tool results for re-injection into the prompt. */

* Format tool definitions into system prompt. * Uses C++ when available, falls back to TypeScript.

Format message with metadata for platform adapter

* Forward a log entry to non-console destinations. * This avoids duplicate console logging (native already logged to console).

Create from ModelStorageMetrics */

Detect archive type from URL path */

* Create an SDKError from a C++ raw error code. * * This is used for interop with the runanywhere-commons C++ library. *

* Send a prompt with tool definitions using OpenAI's native function calling. * Does NOT use response_format: json_object (incompatible with tool

* Send a prompt with a screenshot image to GPT-4o vision. * Uses multi-part content format: [text, image_url]. */

* Generate a unique event ID.

* Generate an nth-child path selector

* Generate a selector for an element (simple version)

* Generate speech from text via RunAnywhere SDK * iOS Reference: generateSpeech(text:) in TTSViewModel */

* Generate text with streaming callback * @param prompt The prompt text * @param optionsJson JSON string with generation options * @param cal

* Generate text with streaming (callback-based) * @param prompt Input prompt * @param optionsJson Generation options JSON * @param callback T

* Generate structured output (JSON) from a prompt * @param prompt Input prompt * @param schema JSON schema for output * @param optionsJson Ge

* Generate a reliable selector for YouTube video elements

* Generate embeddings from melspectrogram buffer using sliding windows. * Window size: 76 frames, Stride: 8 frames */

Generate a simple UUID-like ID

* Generate a unique ID for generation tracking. */

Generate UUID using thread-safe RNG

* Get the appropriate state machine action for the current context

* Get the WASM pointer to the adapter struct. * Used by RunAnywhere.initialize() to populate rac_config_t.

* Get all service types. */

* Get the architecture. * e.g., "arm64", "x86_64" */

* Get available memory in bytes. */

* Get battery state. * e.g., "charging", "full", "unplugged" */

* Get the best model for a component type. * * This is used to auto-select a model when no explicit assignment exists. *

* Get the cache directory. * * @return The cache directory path */

* Get the current cart count from Amazon nav

* Get completion reason name. */

* Get the component name. */

* Get total CPU cores. */