🧠 AI 用量统计
中转站调用明细:次数 / token / credit / 错误率。数据持久化于 data/llm_usage.db,保留 90 天。
总调用
15096
成功 9509 · 失败 5587
Prompt tokens
4,240,779
Completion tokens
11,730,559
总 tokens
15,971,338
Credit 消耗
187.15
仅 ipix 中转站计费
平均耗时
13904ms
按供应商
| 供应商 | 调用 | 成功 | tokens | credit |
|---|---|---|---|---|
| sensenova | 9957 | 6094 | 8,043,773 | 0.0 |
| ipix | 5139 | 3415 | 7,927,565 | 187.15 |
按模型
| 供应商 | 模型 | 调用 | 成功 | prompt | completion | credit |
|---|---|---|---|---|---|---|
| ipix | Qwen3.7-Flash | 1985 | 1600 | 1,330,805 | 4,947,352 | 0.0 |
| sensenova | deepseek-v4-pro | 2206 | 1265 | 542,738 | 1,830,812 | 0.0 |
| sensenova | sensenova-6.8-flash-lite | 2274 | 1880 | 675,615 | 1,529,621 | 0.0 |
| sensenova | glm-5.2 | 2218 | 1772 | 512,742 | 1,585,806 | 0.0 |
| sensenova | deepseek-v4-flash | 2295 | 1155 | 541,362 | 696,794 | 0.0 |
| ipix | DeepSeek-V4-Pro | 165 | 82 | 35,052 | 163,525 | 0.0 |
| ipix | DeepSeek-V4-Flash-Vision-Exp | 171 | 91 | 32,892 | 101,185 | 0.0 |
| sensenova | deepseek-flash | 106 | 8 | 58,649 | 68,679 | 0.0 |
| ipix | MiniMax-M3 | 322 | 116 | 50,238 | 67,950 | 0.59 |
| ipix | Hy3 | 151 | 94 | 25,486 | 92,602 | 0.0 |
| ipix | GLM-5.3-Flash | 174 | 103 | 32,371 | 78,075 | 0.0 |
| ipix | Qwen3.8-Flash | 160 | 116 | 37,699 | 68,964 | 0.0 |
| ipix | DeepSeek-V4-Pro-0813 | 152 | 101 | 31,793 | 73,911 | 4.59 |
| ipix | Qwen3.8-Max | 164 | 102 | 33,703 | 63,585 | 0.0 |
| ipix | Kimi-K2.7-Code | 193 | 112 | 27,092 | 66,409 | 41.84 |
| ipix | MiniMax-M2.7 | 165 | 100 | 30,307 | 56,927 | 0.0 |
| ipix | Deepseek-V4.1-Flash | 144 | 94 | 28,381 | 55,056 | 3.55 |
| ipix | Kimi-K3 | 174 | 93 | 32,980 | 44,335 | 122.94 |
| ipix | DeepSeek-V4-Flash-0731 | 164 | 94 | 31,910 | 39,546 | 0.0 |
| ipix | GLM-5.1 | 163 | 97 | 30,175 | 26,816 | 0.0 |
| ipix | DeepSeek-V4-Flash | 152 | 90 | 27,758 | 28,494 | 0.0 |
| ipix | GLM-5.3 | 183 | 115 | 29,909 | 16,642 | 13.64 |
| ipix | GLM-5.2 | 179 | 108 | 28,322 | 17,842 | 0.0 |
| ipix | Kimi-K2.6 | 178 | 107 | 31,977 | 9,499 | 0.0 |
| sensenova | kimi-k3 | 342 | 14 | 823 | 132 | 0.0 |
| sensenova | MiniMax-M3 | 197 | 0 | 0 | 0 | 0.0 |
| sensenova | sensenova-6.7-flash-lite | 106 | 0 | 0 | 0 | 0.0 |
| sensenova | sensenova-u1-fast | 105 | 0 | 0 | 0 | 0.0 |
| sensenova | sensenova-u1.5-lite | 108 | 0 | 0 | 0 | 0.0 |
按日(近 7 天)
| 日期 | 调用 | 成功 | tokens | credit |
|---|---|---|---|---|
| 2026-10-22 | 73 | 2 | 95,264 | 0.0 |
| 2026-10-21 | 94 | 6 | 128,367 | 0.0 |
| 2026-10-20 | 89 | 4 | 90,217 | 0.0 |
| 2026-10-19 | 13 | 6 | 59,012 | 0.0 |
| 2026-10-18 | 6 | 6 | 40,841 | 0.0 |
| 2026-10-17 | 6 | 6 | 44,143 | 0.0 |
| 2026-10-16 | 6 | 6 | 40,480 | 0.0 |
错误分布
| 状态 | 次数 |
|---|---|
| network_error | 2727 |
| rate_limited | 1520 |
| empty_content | 836 |
| model_404 | 427 |
| bad_response | 58 |
| http_522 | 7 |
| http_502 | 5 |
| http_525 | 4 |
| http_500 | 3 |
最近错误
| 时间 | 槽位 | 模型 | 状态 | 错误 |
|---|---|---|---|---|
| 2026-10-22 15:00:06.885865 | sensenova#2 | deepseek-flash | rate_limited | {"error":{"message":"inference exceeds tpm/rpm limit","type":"rate_limit_error", |
| 2026-10-22 15:00:06.471251 | sensenova#1 | deepseek-v4-flash | rate_limited | {"error":{"message":"inference exceeds tpm/rpm limit","type":"rate_limit_error", |
| 2026-10-22 15:00:05.837756 | ipix#1 | Qwen3.7-Flash | model_404 | {"error":{"message":"Model 'Qwen3.7-Flash' not found or disabled","type":"invali |
| 2026-10-22 14:00:31.334740 | sensenova#4 | deepseek-v4-flash | rate_limited | {"error":{"message":"inference exceeds tpm/rpm limit","type":"rate_limit_error", |
| 2026-10-22 14:00:30.995484 | sensenova#3 | deepseek-v4-pro | model_404 | {"error":{"message":"model is not found","type":"not_found_error","code":"5"}} |
| 2026-10-22 14:00:30.775359 | sensenova#2 | deepseek-flash | rate_limited | {"error":{"message":"inference exceeds tpm/rpm limit","type":"rate_limit_error", |
| 2026-10-22 14:00:30.404803 | sensenova#1 | deepseek-v4-flash | empty_content | {"id":"a9009d8ad3564bcdbc87b4d2392b3f62","created":1792648809,"model":"deepseek- |
| 2026-10-22 14:00:07.706934 | ipix#1 | Qwen3.7-Flash | model_404 | {"error":{"message":"Model 'Qwen3.7-Flash' not found or disabled","type":"invali |
| 2026-10-22 13:00:50.517667 | sensenova#1 | deepseek-v4-pro | model_404 | {"error":{"message":"model is not found","type":"not_found_error","code":"5"}} |
| 2026-10-22 13:00:50.319401 | ipix#1 | Qwen3.7-Flash | model_404 | {"error":{"message":"Model 'Qwen3.7-Flash' not found or disabled","type":"invali |
| 2026-10-22 13:00:49.006979 | sensenova#4 | deepseek-v4-flash | empty_content | {"id":"40bffd72f8d748dca398870b81bbd5af","created":1792645229,"model":"deepseek- |
| 2026-10-22 13:00:27.561463 | sensenova#3 | deepseek-v4-pro | model_404 | {"error":{"message":"model is not found","type":"not_found_error","code":"5"}} |
| 2026-10-22 13:00:27.367467 | sensenova#2 | deepseek-flash | rate_limited | {"error":{"message":"inference exceeds tpm/rpm limit","type":"rate_limit_error", |
| 2026-10-22 13:00:27.079573 | sensenova#1 | deepseek-v4-flash | empty_content | {"id":"082544c183b3417495f74b591eac3d24","created":1792645206,"model":"deepseek- |
| 2026-10-22 13:00:04.597884 | ipix#1 | Qwen3.7-Flash | model_404 | {"error":{"message":"Model 'Qwen3.7-Flash' not found or disabled","type":"invali |
| 2026-10-22 12:00:29.447638 | sensenova#1 | deepseek-v4-flash | empty_content | {"id":"b1568ff5e20546af938cd477ce3cdef0","created":1792641608,"model":"deepseek- |
| 2026-10-22 12:00:05.562401 | ipix#1 | Qwen3.7-Flash | model_404 | {"error":{"message":"Model 'Qwen3.7-Flash' not found or disabled","type":"invali |
| 2026-10-22 11:00:06.129120 | sensenova#2 | deepseek-flash | rate_limited | {"error":{"message":"inference exceeds tpm/rpm limit","type":"rate_limit_error", |
| 2026-10-22 11:00:05.713777 | sensenova#1 | deepseek-v4-flash | rate_limited | {"error":{"message":"inference exceeds tpm/rpm limit","type":"rate_limit_error", |
| 2026-10-22 11:00:05.189160 | ipix#1 | Qwen3.7-Flash | model_404 | {"error":{"message":"Model 'Qwen3.7-Flash' not found or disabled","type":"invali |