Athena Service Proto Definition

syntax = "proto3";

package athena;

import "google/protobuf/empty.proto";
import "athena/models.proto";

option csharp_namespace = "Resolver.Athena.Grpc";
option java_outer_classname = "AthenaServiceProto";
option java_package = "com.resolver.athena.grpc";
option objc_class_prefix = "RAT";
option php_namespace = "Resolver\\Athena\\Grpc";
option ruby_package = "Resolver::Athena::Grpc";
option swift_prefix = "RAT";

// The classifier service definition.
// Provides image classification capabilities with session-based streaming
// and client management functionality.
//
// Endpoint: api.athena-risk-intelligence.com:443
// Transport: TLS required
service ClassifierService {
  // Classify images in a deployment-based streaming context
  // Multiple affiliates can join the same deployment to share responses
  // Supports bidirectional streaming for real-time classification
  rpc Classify(stream ClassifyRequest) returns (stream ClassifyResponse);

  // Retrieves a list of all active deployment IDs
  // Returns the active deployment_id values that can be used in Classify requests
  // Useful for monitoring and debugging active connections
  rpc ListDeployments(google.protobuf.Empty) returns (ListDeploymentsResponse);

  // Classifies a single image synchronously without deployment context
  // Returns classification results immediately in a single request-response cycle
  // Unlike the streaming Classify method, this operates independently of deployments
  // and does not require session management or deployment coordination
  //
  // Use this for:
  // - Low-throughput, low-latency classification scenarios
  // - Simple one-off image classifications
  // - Applications where immediate synchronous responses are preferred over streaming
  // - Testing and debugging individual image classifications
  //
  // The response will contain either classification results or error information
  // No deployment_id coordination is required or supported
  rpc ClassifySingle(ClassificationInput) returns (ClassificationOutput);
}