Models - AI Stats Docs

Method: client.listModels(...)

import ai.stats.sdk.AIStats;
import java.util.HashMap;
import java.util.Map;

AIStats client = new AIStats(System.getenv("AI_STATS_API_KEY"));

Map<String, String> query = new HashMap<>();
query.put("limit", "10");
query.put("provider", "anthropic");
query.put("provider_status", "beta,not_ready");
query.put("provider_availability_reason", "preview_only,provider_not_ready");
query.put("capability_status", "coming_soon,internal_testing");
query.put("availability", "all");

Object models = client.listModels(query);
System.out.println(String.valueOf(models));

Common query keys include provider, provider_status, provider_routing_status, model_routing_status, capability_status, provider_availability_status, provider_availability_reason, status, organisation, endpoints, input_types, output_types, params, availability, limit, and offset. Use provider_availability_reason with availability=all when you want rollout-state entries such as preview_only, provider_not_ready, gated, access_limited, region_limited, project_limited, paused, or soft_blocked. Use capability_status with availability=all when you want non-routable endpoint mappings such as coming_soon or internal_testing.