/**
 * kosha-discovery — Together AI provider discoverer.
 *
 * Queries the Together AI `/v1/models` endpoint (OpenAI-compatible),
 * filters relevant models, and maps them into {@link ModelCard} objects.
 *
 * Together AI's catalog is multi-vendor, hosting models from meta-llama,
 * mistralai, Qwen, google, deepseek-ai, microsoft, nvidia, databricks,
 * togethercomputer, and others.
 * @module
 */
import { OpenAICompatibleDiscoverer, type ModelClassification, type OpenAICompatibleModel } from "./openai-compatible.js";
/**
 * Discovers models available through the Together AI API (api.together.xyz).
 *
 * The Together AI catalog serves models from multiple vendors using an
 * OpenAI-compatible API. Model IDs are namespaced (e.g.
 * `meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo`,
 * `mistralai/Mixtral-8x22B-Instruct-v0.1`), allowing origin provider
 * extraction from the prefix.
 */
export declare class TogetherDiscoverer extends OpenAICompatibleDiscoverer {
    readonly providerId = "together";
    readonly providerName = "Together AI";
    readonly baseUrl = "https://api.together.xyz";
    /**
     * Determine whether a model ID represents a model we want to track.
     *
     * We keep chat/instruct, embedding, code, and vision models and filter out:
     * - Reward models (used for RLHF, not inference)
     */
    protected isRelevantModel(model: OpenAICompatibleModel): boolean;
    /**
     * Classify a Together AI model: determine origin provider, mode, and capabilities.
     *
     * Uses namespaced model IDs (vendor/model-name) to extract origin provider.
     * Normalizes known prefixes via aliases map.
     */
    protected classifyModel(model: OpenAICompatibleModel): ModelClassification;
}
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