import { BedrockRuntimeClient } from "@aws-sdk/client-bedrock-runtime";
import type { AIProviderName } from "../constants/enums.js";
import { BaseProvider } from "../core/baseProvider.js";
import type { NeuroLink } from "../neurolink.js";
import type { EnhancedGenerateResult, TextGenerationOptions } from "../types/index.js";
import type { StreamOptions, StreamResult } from "../types/streamTypes.js";
export declare class AmazonBedrockProvider extends BaseProvider {
    private bedrockClient;
    private conversationHistory;
    private region;
    constructor(modelName?: string, neurolink?: NeuroLink, region?: string);
    /**
     * Perform initial health check to catch credential/connectivity issues early
     * This prevents the health check failure we saw in production logs
     */
    private performInitialHealthCheck;
    getAISDKModel(): never;
    getProviderName(): AIProviderName;
    getDefaultModel(): string;
    /**
     * Get the default embedding model for Amazon Bedrock
     * @returns The default Bedrock embedding model name
     */
    protected getDefaultEmbeddingModel(): string;
    generate(optionsOrPrompt: TextGenerationOptions | string): Promise<EnhancedGenerateResult | null>;
    private conversationLoop;
    private callBedrock;
    private handleBedrockResponse;
    private convertToAWSMessages;
    private executeSingleTool;
    private convertAISDKToolsToToolDefinitions;
    private formatToolsForBedrock;
    private convertToBedrockMessages;
    getBedrockClient(): BedrockRuntimeClient;
    protected executeStream(options: StreamOptions): Promise<StreamResult>;
    private streamingConversationLoop;
    private convertToAsyncIterable;
    private prepareStreamCommand;
    private processStreamResponse;
    private handleStreamStopReason;
    private executeStreamTools;
    /**
     * Health check for Amazon Bedrock service
     * Uses ListFoundationModels API to validate connectivity and permissions
     */
    checkBedrockHealth(): Promise<void>;
    protected formatProviderError(error: unknown): Error;
    /**
     * Generate embeddings for text using Amazon Bedrock embedding models
     * Uses the native AWS SDK InvokeModel command for Titan embeddings
     * @param text - The text to embed
     * @param modelName - The embedding model to use (default: amazon.titan-embed-text-v2:0)
     * @returns Promise resolving to the embedding vector
     */
    embed(text: string, modelName?: string): Promise<number[]>;
    /**
     * Generate embeddings for multiple texts in a single batch
     * @param texts - The texts to embed
     * @param modelName - The embedding model to use (default: amazon.titan-embed-text-v2:0)
     * @returns Promise resolving to an array of embedding vectors
     */
    embedMany(texts: string[], modelName?: string): Promise<number[][]>;
}
