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openclaw

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Multi-channel AI gateway with extensible messaging integrations

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/** Embedding vector returned by node-llama-cpp. */ export type LlamaEmbedding = { vector: Float32Array | number[]; }; /** Embedding context created from a loaded llama model. */ export type LlamaEmbeddingContext = { getEmbeddingFor: (text: string) => Promise<LlamaEmbedding>; dispose?: () => Promise<void> | void; }; /** Loaded llama model capable of creating embedding contexts. */ export type LlamaModel = { createEmbeddingContext: (options?: { contextSize?: number | "auto"; createSignal?: AbortSignal; }) => Promise<LlamaEmbeddingContext>; dispose?: () => Promise<void> | void; }; /** Options accepted by node-llama-cpp model file resolution. */ export type ResolveModelFileOptions = { directory?: string; signal?: AbortSignal; }; /** Root llama runtime object exposed by node-llama-cpp. */ export type Llama = { loadModel: (params: { modelPath: string; loadSignal?: AbortSignal; }) => Promise<LlamaModel>; dispose?: () => Promise<void> | void; }; /** Imported node-llama-cpp module shape used by local embeddings. */ export type NodeLlamaCppModule = { LlamaLogLevel: { error: number; }; getLlama: (params: { logLevel: number; }) => Promise<Llama>; resolveModelFile: (modelPath: string, optionsOrDirectory?: string | ResolveModelFileOptions) => Promise<string>; }; /** Dynamically import node-llama-cpp so the optional dependency is loaded only when needed. */ export declare function importNodeLlamaCpp(moduleSpecifier?: string): Promise<NodeLlamaCppModule>;