/**
 * kosha-discovery — Mistral AI provider discoverer.
 *
 * Queries the Mistral AI `/v1/models` endpoint, filters relevant models,
 * and maps them into {@link ModelCard} objects.
 *
 * Mistral's catalog is first-party only — all models are Mistral's own,
 * so `originProvider` is always `"mistral"`.
 * @module
 */
import type { OpenAICompatibleModel, ModelClassification } from "./openai-compatible.js";
import { OpenAICompatibleDiscoverer } from "./openai-compatible.js";
/**
 * Discovers models available through the Mistral AI API.
 *
 * Mistral's catalog is first-party — model IDs are flat strings such as
 * `mistral-large-latest`, `codestral-latest`, and `mistral-embed`. The
 * discoverer infers mode and capabilities from patterns in the model ID.
 */
export declare class MistralDiscoverer extends OpenAICompatibleDiscoverer {
    readonly providerId = "mistral";
    readonly providerName = "Mistral AI";
    readonly baseUrl = "https://api.mistral.ai";
    /**
     * Determine whether a model ID represents a model we want to track.
     *
     * We keep all standard Mistral models and filter out:
     * - Fine-tuned model snapshots (id starts with "ft:")
     */
    protected isRelevantModel(model: OpenAICompatibleModel): boolean;
    /**
     * Classify a Mistral model: determine origin, mode, and capabilities.
     *
     * Key heuristics:
     * - Origin is always "mistral"
     * - Embedding models get mode "embedding"
     * - Chat models get mode "chat"
     * - Models containing "pixtral" get "vision" capability
     * - Models containing "codestral" get "code" capability
     * - All chat models get "function_calling" (Mistral supports it across their lineup)
     * - Large models get "nlu"
     */
    protected classifyModel(model: OpenAICompatibleModel): ModelClassification;
}
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