import { LLM } from '../../agents/providers.js';
/**
 * Configuration options for the {@link AWSBedrockLLM} provider.
 *
 * Credentials resolve as explicit option -> environment variable -> the default
 * AWS credential chain (IAM role / shared profile).
 */
export type AWSBedrockLLMOptions = {
    /** Bedrock model id or inference profile ARN. Falls back to `BEDROCK_INFERENCE_PROFILE_ARN`. Default: `'amazon.nova-lite-v1:0'`. */
    model?: string;
    /** AWS region for Bedrock Runtime. Falls back to `AWS_DEFAULT_REGION` / `AWS_REGION`, then `'us-east-1'`. */
    region?: string;
    /** Falls back to the `AWS_ACCESS_KEY_ID` env var. */
    awsAccessKeyId?: string;
    /** Falls back to the `AWS_SECRET_ACCESS_KEY` env var. */
    awsSecretAccessKey?: string;
    /** Falls back to the `AWS_SESSION_TOKEN` env var. */
    awsSessionToken?: string;
    /** Sampling temperature. Default: `0.7`. */
    temperature?: number;
    /** Max tokens generated per response. Default: `1024`. (Legacy `maxTokens`/`max_tokens` also accepted.) */
    maxOutputTokens?: number;
    /** Nucleus sampling probability mass. Default: `null`. */
    topP?: number | null;
    /** Top-K tokens considered (sent via additional request fields; model support varies). Default: `null`. */
    topK?: number | null;
    /** Sequences that stop generation; a string or list. Default: `null`. */
    stopSequences?: string[] | string | null;
    /** `'auto'`, `'required'`, `'none'`, or a tool name. Default: `'auto'`. */
    toolChoice?: string;
    /** Add a prompt-cache checkpoint after the system prompt. Default: `null`. */
    cacheSystem?: boolean | null;
    /** Add a prompt-cache checkpoint after the tool definitions. Default: `null`. */
    cacheTools?: boolean | null;
    /** Remove `<thinking>...</thinking>` spans from the streamed text. Default: `null` (provider default). */
    stripThinking?: boolean | null;
    /** Parse function calls a model prints as plain text instead of native Converse tool use. Default: `null` (auto). */
    textToolCalls?: boolean | null;
    /** Extra `additionalModelRequestFields` merged into the Converse request. Default: `null`. */
    additionalRequestFields?: Record<string, any> | null;
    [key: string]: any;
};
declare class AWSBedrockLLMImpl extends LLM {
    static readonly displayName = "AWSBedrockLLM";
    _providerName: string;
    model: string;
    region: string;
    accessKeyId?: string;
    secretAccessKey?: string;
    sessionToken?: string;
    temperature: number;
    maxOutputTokens: number;
    topP: number | null;
    topK: number | null;
    stopSequences: string[] | string | null;
    toolChoice: string;
    cacheSystem: boolean | null;
    cacheTools: boolean | null;
    stripThinking: boolean | null;
    textToolCalls: boolean | null;
    additionalRequestFields: Record<string, any> | null;
    constructor(opts?: AWSBedrockLLMOptions);
    getRuntimeConfig(): Record<string, any>;
}
export type AWSBedrockLLM = AWSBedrockLLMImpl;
/**
 * AWS Bedrock LLM provider (Converse API).
 *
 * Streams text generation and function/tool calling from any Bedrock-hosted
 * model (Amazon Nova, Anthropic Claude, Meta Llama, Mistral, Google Gemma).
 */
export declare const AWSBedrockLLM: (opts?: AWSBedrockLLMOptions) => AWSBedrockLLM;
export {};