import { OpenAICompatibleModelProvider } from './model.js';
export interface AIGatewayOptions {
    /** OpenAI-compatible Chat Completions base URL (e.g. `https://my-gateway.example.com/v1`). */
    baseUrl: string;
    /** Bearer token. */
    apiKey: string;
    /** Default model id. Set when not specifying `init({ model: ... })` per-call. */
    defaultModel?: string;
    /** Provider name for telemetry. Defaults to `'ai-gateway'`. */
    name?: string;
    /** Extra headers — observability tags, team/project scoping, etc. */
    headers?: Record<string, string>;
}
/**
 * Generic OpenAI-compatible AI gateway helper. Use for **any** gateway that
 * speaks the OpenAI Chat Completions request/response shape:
 * Helicone, Portkey, LiteLLM (self-hosted), Cloudflare AI Gateway,
 * internal corp proxies, etc.
 *
 * ```ts
 * import { aiGateway, init } from '@fabric-harness/sdk';
 *
 * // Helicone
 * const fabric = await init({
 *   modelProvider: aiGateway({
 *     baseUrl: 'https://oai.helicone.ai/v1',
 *     apiKey: process.env.OPENAI_API_KEY!,
 *     headers: { 'Helicone-Auth': `Bearer ${process.env.HELICONE_API_KEY}` },
 *     defaultModel: 'gpt-4o',
 *     name: 'helicone',
 *   }),
 * });
 *
 * // Self-hosted LiteLLM
 * const fabric = await init({
 *   modelProvider: aiGateway({
 *     baseUrl: 'http://litellm.internal:4000/v1',
 *     apiKey: process.env.LITELLM_KEY!,
 *     defaultModel: 'azure/gpt-4o',
 *   }),
 * });
 * ```
 *
 * For Vercel AI Gateway, prefer the {@link vercelAIGateway} preset — same
 * factory under the hood with the gateway URL pre-baked.
 */
export declare function aiGateway(options: AIGatewayOptions): OpenAICompatibleModelProvider;
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