export { A as AnthropicAdapter, B as BENCHMARK_PRESETS, F as FrameworkInfo, G as GoogleAIAdapter, L as LanguageInfo, M as ModelRegistry, a as ModelRequirements, O as OpenAICompatAdapter, P as ProjectAnalyzer, b as ProjectProfile } from '../adapters-DmzWHUlv.js';
import { M as MachineProfile, I as InstalledModel } from '../inspector-CLiv6Ost.js';
export { C as CatalogEntry, G as GPUInfo, a as MODEL_CATALOG, b as MachineInspector, P as ProviderAvailability } from '../inspector-CLiv6Ost.js';
export { B as BenchmarkConfig, a as BenchmarkPreset, b as BenchmarkResult, M as ModelCapability, c as ModelInfo, d as ModelPricing, P as ProviderAdapter, R as RankedModel, S as SelectionCriteria } from '../types-CSAIysnE.js';

interface SelectionRequest {
    task: "coding" | "reasoning" | "chat" | "agents";
    projectSize?: "small" | "medium" | "large";
    preferLocal?: boolean;
    preferSpeed?: boolean;
    maxWaitMs?: number;
}
interface SelectionResult {
    model: string;
    provider: string;
    reason: string;
    confidence: number;
    alternatives: Array<{
        model: string;
        provider: string;
        reason: string;
    }>;
    needsDownload: boolean;
    estimatedDownloadGB?: number;
}
interface RankedCandidate {
    model: string;
    provider: string;
    score: number;
    reason: string;
    needsDownload: boolean;
    estimatedDownloadGB?: number;
    installed: boolean;
    fitsInVram: boolean;
    fitsInRam: boolean;
    isMoe: boolean;
    supportsToolUse: boolean;
}
declare class AutoSelector {
    private profile;
    constructor(profile: MachineProfile);
    select(request: SelectionRequest): SelectionResult;
    rankAll(request: SelectionRequest): RankedCandidate[];
    canRunLocally(ollamaTag: string): boolean;
    findInstalled(request: SelectionRequest): InstalledModel | null;
    recommendDownload(request: SelectionRequest): {
        model: string;
        sizeGB: number;
        reason: string;
    } | null;
    private resolveEffectiveVram;
    private resolveProvider;
    private scoreForTask;
    private computeAdjustments;
    private computeConfidence;
    private buildReason;
    private summarizeParams;
    private findCatalogEntry;
}

export { AutoSelector, InstalledModel, MachineProfile, type RankedCandidate, type SelectionRequest, type SelectionResult };