using System; using System.Linq; using System.Net.Http; using System.Net.Http.Headers; using System.Text.Json; using System.Threading.Tasks; namespace Gott.Services { public class OpenAiCheckResult { public string Status { get; set; } // "ok", "invalid", "rate_limited", "quota_exceeded", "error" public string Message { get; set; } public string Organization { get; set; } public string[] Models { get; set; } public int? RateLimitRpm { get; set; } public int? RateLimitTpm { get; set; } } public static class OpenAiKeyChecker { public static async Task CheckKeyAsync(IHttpClientFactory httpFactory, string apiKey) { try { var client = httpFactory.CreateClient(); client.Timeout = TimeSpan.FromSeconds(30); var request = new HttpRequestMessage(HttpMethod.Get, "https://api.openai.com/v1/models"); request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", apiKey); var resp = await client.SendAsync(request); var statusCode = (int)resp.StatusCode; if (statusCode == 401) return new OpenAiCheckResult { Status = "invalid", Message = "Ungültig oder abgelaufen (401)" }; if (statusCode == 403) return new OpenAiCheckResult { Status = "quota_exceeded", Message = "Keine Berechtigung / Quota erschöpft (403)" }; if (statusCode == 429) { // Rate-Limited → Key existiert, ist aber gerade nicht nutzbar return new OpenAiCheckResult { Status = "rate_limited", Message = "Rate Limited (429)" }; } if (statusCode >= 400) return new OpenAiCheckResult { Status = "error", Message = "API-Fehler (" + statusCode + ")" }; // 200 OK → Key ist gültig var body = await resp.Content.ReadAsStringAsync(); var doc = JsonDocument.Parse(body); // Organisation aus Header string org = null; if (resp.Headers.TryGetValues("openai-organization", out var orgValues)) org = orgValues.FirstOrDefault(); // Rate-Limits aus Headern int? rpm = null; int? tpm = null; if (resp.Headers.TryGetValues("x-ratelimit-limit-requests", out var rpmVals) && int.TryParse(rpmVals.FirstOrDefault(), out var rpmVal)) rpm = rpmVal; if (resp.Headers.TryGetValues("x-ratelimit-limit-tokens", out var tpmVals) && int.TryParse(tpmVals.FirstOrDefault(), out var tpmVal)) tpm = tpmVal; // Modell-Liste extrahieren (nur die interessantesten) string[] models = Array.Empty(); if (doc.RootElement.TryGetProperty("data", out var data)) { var interestingPrefixes = new[] { "gpt-4", "gpt-3.5", "o1", "o3", "o4" }; models = data.EnumerateArray() .Select(m => m.GetProperty("id").GetString()) .Where(id => interestingPrefixes.Any(p => id.StartsWith(p, StringComparison.OrdinalIgnoreCase))) .Distinct() .OrderBy(x => x) .ToArray(); } // Plan-Erkennung anhand der Modelle string plan; if (models.Any(m => m.StartsWith("o3", StringComparison.OrdinalIgnoreCase) || m.StartsWith("o4", StringComparison.OrdinalIgnoreCase))) plan = "Tier 5+"; else if (models.Any(m => m.StartsWith("gpt-4o", StringComparison.OrdinalIgnoreCase))) plan = "Tier 3+"; else if (models.Any(m => m.StartsWith("gpt-4", StringComparison.OrdinalIgnoreCase))) plan = "Tier 2+"; else if (models.Any(m => m.StartsWith("gpt-3.5", StringComparison.OrdinalIgnoreCase))) plan = "Tier 1"; else plan = "Free"; var msg = plan + " · Org: " + (org ?? "?") + " · " + models.Length + " Modelle"; if (rpm.HasValue) msg += " · " + rpm.Value + " RPM"; return new OpenAiCheckResult { Status = "ok", Message = msg, Organization = org, Models = models, RateLimitRpm = rpm, RateLimitTpm = tpm }; } catch (Exception ex) { return new OpenAiCheckResult { Status = "error", Message = ex.Message }; } } } }