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/** * Interface for code index embedders. * This interface is implemented by all embedder implementations. */ export interface IEmbedder { /** * Creates embeddings for the given texts. * @param texts Array of text strings to create embeddings for * @param model Optional model ID to use for embeddings * @returns Promise resolving to an EmbeddingResponse */ createEmbeddings(texts: string[], model?: string): Promise<EmbeddingResponse> /** * Validates the embedder configuration by testing connectivity and credentials. * @returns Promise resolving to validation result with success status and optional error message */ validateConfiguration(): Promise<{ valid: boolean; error?: string }> get embedderInfo(): EmbedderInfo /** * Gets the optimal batch size for this embedder */ get optimalBatchSize(): number } export interface EmbeddingResponse { embeddings: number[][] usage?: { promptTokens: number totalTokens: number } } export type AvailableEmbedders = | "openai" | "ollama" | "openai-compatible" | "jina" | "gemini" | "mistral" | "vercel-ai-gateway" | "openrouter" export interface EmbedderInfo { name: AvailableEmbedders }