/**
 * Provider Worker - exposes AI provider registry via RPC
 *
 * This worker can be deployed to Cloudflare Workers or run locally via Miniflare.
 * It exposes model and embedding model access via Workers RPC.
 *
 * Uses Cloudflare Workers RPC (WorkerEntrypoint, RpcTarget) for communication.
 */
import { WorkerEntrypoint, RpcTarget } from 'cloudflare:workers';
import type { LanguageModel, EmbeddingModel, ProviderRegistryProvider } from 'ai';
import { type ProviderId } from './registry.js';
/**
 * Environment bindings for the worker
 */
export interface Env {
    /** Cloudflare AI binding */
    AI?: Ai;
    /** AI Gateway URL */
    AI_GATEWAY_URL?: string;
    /** AI Gateway token */
    AI_GATEWAY_TOKEN?: string;
    DO_TOKEN?: string;
    /** Provider API keys */
    OPENAI_API_KEY?: string;
    ANTHROPIC_API_KEY?: string;
    GOOGLE_GENERATIVE_AI_API_KEY?: string;
    OPENROUTER_API_KEY?: string;
    CLOUDFLARE_ACCOUNT_ID?: string;
    CLOUDFLARE_API_TOKEN?: string;
}
/**
 * Core provider service - extends RpcTarget so it can be passed over RPC
 *
 * Contains all provider functionality: model access, embedding models,
 * and provider configuration.
 */
export declare class ProviderServiceCore extends RpcTarget {
    protected env: Env;
    protected registry: ProviderRegistryProvider | null;
    protected registryPromise: Promise<ProviderRegistryProvider> | null;
    constructor(env: Env);
    /**
     * Get provider configuration from environment
     */
    private getConfig;
    /**
     * Get or create the provider registry
     */
    getRegistry(): Promise<ProviderRegistryProvider>;
    /**
     * Get a language model by ID
     *
     * Supports multiple formats:
     * - Provider:model format: 'anthropic:claude-sonnet-4-20250514', 'openai:gpt-4o'
     * - Aliases: 'sonnet', 'opus', 'gpt-4o'
     * - OpenRouter format: 'meta-llama/llama-3.3-70b-instruct'
     *
     * @example
     * ```ts
     * const model = await core.model('anthropic:claude-sonnet-4-20250514')
     * const alias = await core.model('sonnet')
     * const llama = await core.model('meta-llama/llama-3.3-70b-instruct')
     * ```
     */
    model(id: string): Promise<LanguageModel>;
    /**
     * Get an embedding model by ID
     *
     * Supports:
     * - OpenAI: 'openai:text-embedding-3-small'
     * - Cloudflare Workers AI: 'cloudflare:@cf/baai/bge-m3'
     *
     * @example
     * ```ts
     * const openai = await core.embeddingModel('openai:text-embedding-3-small')
     * const cf = await core.embeddingModel('cloudflare:@cf/baai/bge-m3')
     * ```
     */
    embeddingModel(id: string): Promise<EmbeddingModel<string>>;
    /**
     * List all available provider IDs
     *
     * @returns Array of provider IDs that can be used with model() and embeddingModel()
     */
    listProviders(): Promise<ProviderId[]>;
}
/**
 * Main provider service exposed via RPC as WorkerEntrypoint
 *
 * Usage:
 *   const providers = await env.PROVIDERS.connect()
 *   const model = await providers.model('anthropic:claude-sonnet-4-20250514')
 *   const embed = await providers.embeddingModel('cloudflare:@cf/baai/bge-m3')
 */
export declare class ProviderService extends WorkerEntrypoint<Env> {
    /**
     * Get a provider service instance - returns an RpcTarget that can be used directly
     */
    connect(): ProviderServiceCore;
}
export default ProviderService;
export { ProviderService as ProviderWorker };
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