/**
 * Vercel LanguageModelV3 model provider implementation.
 *
 * This module provides integration with any Vercel v3 compatible model provider,
 * supporting streaming responses, tool use, and reasoning content.
 *
 * @see https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v3
 */
import type { LanguageModelV3, LanguageModelV3CallOptions } from '@ai-sdk/provider';
import type { ModelStreamEvent } from './streaming.js';
import { Message } from '../types/messages.js';
import { Model, type BaseModelConfig, type StreamOptions } from './model.js';
/**
 * Call option fields from LanguageModelV3CallOptions that can be configured.
 * Excludes prompt, tools, and toolChoice which are managed by the agent loop.
 */
type LanguageModelCallSettings = Omit<LanguageModelV3CallOptions, 'prompt' | 'tools' | 'toolChoice'>;
/**
 * Configuration for the VercelModel adapter.
 *
 * Extends BaseModelConfig with all LanguageModelV3 call settings (temperature, topP, topK,
 * presencePenalty, frequencyPenalty, stopSequences, seed, etc.). When new fields are added
 * to the Language Model Specification, they become available here automatically.
 *
 * Note: `maxTokens` (from BaseModelConfig) maps to `maxOutputTokens` in the underlying call.
 * If both are set, `maxOutputTokens` takes precedence.
 */
export interface VercelModelConfig extends BaseModelConfig, LanguageModelCallSettings {
}
/**
 * Options for creating a VercelModel instance.
 */
export interface VercelModelOptions extends Partial<VercelModelConfig> {
    /**
     * A LanguageModelV3 instance from any Vercel provider.
     */
    provider: LanguageModelV3;
}
/**
 * Adapter that wraps a LanguageModelV3 instance
 * for use as a Strands model provider.
 *
 * Implements the Model interface for any Vercel v3 compatible provider.
 * Supports streaming responses, tool use, and reasoning content.
 *
 * @example
 * ```typescript
 * import { Agent } from '@strands-agents/sdk'
 * import { VercelModel } from '@strands-agents/sdk/models/vercel'
 * import { bedrock } from '@ai-sdk/amazon-bedrock'
 *
 * const agent = new Agent({
 *   model: new VercelModel({ provider: bedrock('us.anthropic.claude-sonnet-4-20250514-v1:0') }),
 * })
 *
 * for await (const event of agent.stream('Hello!')) {
 *   if (event.type === 'modelContentBlockDeltaEvent' && event.delta.type === 'textDelta') {
 *     process.stdout.write(event.delta.text)
 *   }
 * }
 * ```
 */
export declare class VercelModel extends Model<VercelModelConfig> {
    private _provider;
    private _config;
    /**
     * Creates a new VercelModel instance.
     *
     * @param options - The model and optional configuration
     */
    constructor(options: VercelModelOptions);
    getConfig(): VercelModelConfig;
    updateConfig(config: VercelModelConfig): void;
    stream(messages: Message[], options?: StreamOptions): AsyncIterable<ModelStreamEvent>;
}
export {};
//# sourceMappingURL=vercel.d.ts.map