import { TraceData } from '../../core/entities/trace_data';
import { TraceInfo } from '../../core/entities/trace_info';
import { ArtifactsClient } from './base';
import { AuthProvider } from '../../auth';
/**
 * MLflow OSS Artifacts Client
 *
 * Implements artifact upload/download for OSS MLflow Tracking Server using the standard
 * HTTP artifact repository endpoints. Based on Python HttpArtifactRepository.
 */
export declare class MlflowArtifactsClient implements ArtifactsClient {
    private readonly host;
    private headersProvider;
    constructor(options: {
        host: string;
        authProvider: AuthProvider;
    });
    /**
     * Upload trace data to MLflow artifact storage.
     *
     * Equivalent to Python's upload_trace_data() method which uses log_artifact()
     * under the hood to upload the trace data as a JSON file.
     *
     * @param traceInfo The trace information containing artifact URI
     * @param traceData The trace data to upload
     */
    uploadTraceData(traceInfo: TraceInfo, traceData: TraceData): Promise<void>;
    /**
     * Download trace data from MLflow artifact storage.
     *
     * Equivalent to Python's download_trace_data() method which downloads
     * the traces.json file and parses it back to TraceData.
     *
     * @param traceInfo The trace information containing artifact URI
     * @returns The downloaded and parsed trace data
     */
    downloadTraceData(traceInfo: TraceInfo): Promise<TraceData>;
    /**
     * Construct the artifact URL from the trace info. The artifact location is set as a tag
     * on the trace info by the backend.
     *
     * This implements the same URI resolution logic as Python's MlflowArtifactsRepository.resolve_uri()
     * converting mlflow-artifacts:// URIs to HTTP endpoints.
     */
    private getArtifactUrlForTrace;
    /**
     * Resolve mlflow-artifacts:// URI to HTTP endpoint.
     *
     * Equivalent to Python's MlflowArtifactsRepository.resolve_uri() method.
     * Transforms URIs like "mlflow-artifacts:/0/traces/tr-abc123/artifacts"
     * to "http://localhost:5000/api/2.0/mlflow-artifacts/artifacts/0/traces/tr-abc123/artifacts/traces.json"
     *
     * @param artifactUri The mlflow-artifacts:// URI from trace tags
     * @param fileName The file name to append (e.g., "traces.json")
     * @returns The resolved HTTP endpoint URL
     */
    private resolveArtifactUri;
}