@claude-flow/embeddings/dist/transformers-loader.d.ts

V3 Embedding Service - OpenAI, Transformers.js, Agentic-Flow (ONNX), Mock providers with hyperbolic embeddings, normalization, and chunking

/**
 * Provider-agnostic transformers loader.
 *
 * ADR-094: prefer the maintained `@huggingface/transformers` (which
 * pulls in `protobufjs >=7.5.5` and clears the critical RCE CVE
 * chain), fall back to the legacy `@xenova/transformers` for
 * backwards compatibility with consumers who haven't installed the
 * new package yet.
 *
 * Both packages export the same `pipeline()` function with compatible
 * signatures for our usage (`pipeline('feature-extraction', modelId)`),
 * so callers can use the returned function transparently. The `source`
 * field is reported through `embeddings_status.ruvectorStatus` so
 * users can see which package satisfied the runtime.
 */
export type PipelineFn = (task: string, model?: string, options?: Record<string, unknown>) => Promise<unknown>;
export interface TransformersHandle {
    pipeline: PipelineFn;
    source: '@huggingface/transformers' | '@xenova/transformers';
    version?: string;
}
/**
 * Load a working transformers pipeline. Returns null if neither
 * package is installed. Caches the first successful resolution so
 * subsequent calls don't re-import.
 */
export declare function loadTransformersPipeline(): Promise<TransformersHandle | null>;
/**
 * Synchronous probe — returns whether either package was loaded
 * during a previous call to `loadTransformersPipeline()`. For status
 * tools that don't want to trigger a fresh import.
 */
export declare function getCachedTransformersSource(): TransformersHandle | null;
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