File size: 102,825 Bytes
a67c3b3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b7b7dc0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
80d624c
affe093
a67c3b3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e05a5f4
 
a67c3b3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
2104
2105
2106
2107
2108
2109
2110
2111
2112
2113
2114
2115
2116
2117
2118
2119
2120
2121
2122
2123
2124
2125
2126
2127
2128
2129
2130
2131
2132
2133
2134
2135
2136
2137
2138
2139
2140
2141
2142
2143
2144
2145
2146
2147
2148
2149
2150
2151
2152
2153
2154
2155
2156
2157
2158
2159
2160
2161
2162
2163
2164
2165
2166
2167
2168
2169
2170
2171
2172
2173
2174
2175
2176
2177
2178
2179
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
2194
2195
2196
2197
2198
2199
2200
2201
2202
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2213
2214
2215
2216
2217
2218
2219
2220
2221
2222
2223
2224
2225
2226
2227
2228
2229
2230
2231
2232
2233
2234
2235
2236
2237
2238
2239
2240
2241
2242
2243
2244
2245
2246
2247
2248
2249
2250
2251
2252
2253
2254
2255
2256
2257
2258
2259
2260
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
2293
2294
2295
2296
2297
2298
2299
2300
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
2317
2318
2319
2320
2321
2322
2323
2324
2325
2326
2327
2328
2329
2330
2331
2332
2333
2334
2335
2336
2337
2338
2339
2340
2341
2342
2343
2344
2345
2346
2347
2348
2349
2350
2351
2352
2353
2354
2355
2356
2357
2358
2359
2360
2361
2362
2363
2364
2365
2366
2367
2368
2369
2370
2371
2372
2373
2374
2375
2376
2377
2378
2379
2380
2381
2382
2383
2384
2385
2386
2387
2388
2389
2390
2391
2392
2393
2394
2395
2396
2397
2398
2399
2400
2401
2402
2403
2404
2405
2406
2407
2408
2409
2410
2411
2412
2413
2414
2415
2416
2417
2418
2419
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
2433
2434
2435
2436
2437
2438
2439
2440
2441
2442
2443
2444
2445
2446
2447
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
2458
2459
2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
2480
2481
2482
2483
2484
2485
2486
2487
2488
2489
2490
2491
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2513
2514
2515
2516
2517
2518
2519
2520
2521
2522
2523
2524
2525
2526
2527
2528
2529
2530
2531
2532
2533
2534
2535
2536
2537
2538
2539
2540
2541
2542
2543
2544
2545
2546
2547
2548
2549
2550
2551
2552
2553
2554
2555
2556
2557
2558
2559
2560
2561
2562
2563
2564
2565
2566
2567
2568
2569
2570
2571
2572
2573
2574
2575
2576
2577
2578
2579
2580
2581
2582
2583
2584
2585
2586
2587
2588
2589
2590
2591
2592
2593
2594
2595
2596
2597
2598
2599
2600
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
2621
import sys, os, platform, time, copy, re, asyncio, inspect
import threading, ast
import shutil, random, traceback, requests
from datetime import datetime, timedelta, timezone
from typing import Optional, List
import secrets, subprocess
import hashlib, uuid
import warnings
import importlib

messages: list = []
sys.path.insert(
    0, os.path.abspath("../..")
)  # Adds the parent directory to the system path - for litellm local dev

sample = """
    from openai import OpenAI
    import json
    
    base_url = "https://ka1kuk-litellm.hf.space"
    api_key = "hf_xxxx"
    
    client = OpenAI(base_url=base_url, api_key=api_key)
    
    messages = [{"role": "user", "content": "What's the capital of France?"}]
    
    response = client.chat.completions.create(
      model="huggingface/mistralai/Mixtral-8x7B-Instruct-v0.1",
      response_format={ "type": "json_object" },
      messages=messages,
      stream=False,
    )
    
    print(response.choices[0].message.content)
"""

description = f"Proxy Server to call 100+ LLMs in the OpenAI format\n\nSample with openai library:\n\n{sample}" 

try:
    import fastapi
    import backoff
    import yaml
    import orjson
    import logging
except ImportError as e:
    raise ImportError(f"Missing dependency {e}. Run `pip install 'litellm[proxy]'`")

import litellm
from litellm.proxy.utils import (
    PrismaClient,
    DBClient,
    get_instance_fn,
    ProxyLogging,
    _cache_user_row,
    send_email,
)
from litellm.proxy.secret_managers.google_kms import load_google_kms
import pydantic
from litellm.proxy._types import *
from litellm.caching import DualCache
from litellm.proxy.health_check import perform_health_check
from litellm._logging import verbose_router_logger, verbose_proxy_logger

litellm.suppress_debug_info = True
from fastapi import (
    FastAPI,
    Request,
    HTTPException,
    status,
    Depends,
    BackgroundTasks,
    Header,
    Response,
)
from fastapi.routing import APIRouter
from fastapi.security import OAuth2PasswordBearer
from fastapi.encoders import jsonable_encoder
from fastapi.responses import StreamingResponse, FileResponse, ORJSONResponse
from fastapi.middleware.cors import CORSMiddleware
from fastapi.security.api_key import APIKeyHeader
import json
import logging
from typing import Union

app = FastAPI(
    docs_url="/",
    title="LiteLLM API",
    description= description,
)
router = APIRouter()
origins = ["*"]

app.add_middleware(
    CORSMiddleware,
    allow_origins=origins,
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)


from typing import Dict

api_key_header = APIKeyHeader(name="Authorization", auto_error=False)
user_api_base = None
user_model = None
user_debug = False
user_max_tokens = None
user_request_timeout = None
user_temperature = None
user_telemetry = True
user_config = None
user_headers = None
user_config_file_path = f"config_{int(time.time())}.yaml"
local_logging = True  # writes logs to a local api_log.json file for debugging
experimental = False
#### GLOBAL VARIABLES ####
llm_router: Optional[litellm.Router] = None
llm_model_list: Optional[list] = None
general_settings: dict = {}
log_file = "api_log.json"
worker_config = None
master_key = None
otel_logging = False
prisma_client: Optional[PrismaClient] = None
custom_db_client: Optional[DBClient] = None
user_api_key_cache = DualCache()
user_custom_auth = None
use_background_health_checks = None
use_queue = False
health_check_interval = None
health_check_results = {}
queue: List = []
### INITIALIZE GLOBAL LOGGING OBJECT ###
proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
### REDIS QUEUE ###
async_result = None
celery_app_conn = None
celery_fn = None  # Redis Queue for handling requests
### logger ###


def usage_telemetry(
    feature: str,
):  # helps us know if people are using this feature. Set `litellm --telemetry False` to your cli call to turn this off
    if user_telemetry:
        data = {"feature": feature}  # "local_proxy_server"
        threading.Thread(
            target=litellm.utils.litellm_telemetry, args=(data,), daemon=True
        ).start()


def _get_bearer_token(api_key: str):
    assert api_key.startswith("Bearer ")  # ensure Bearer token passed in
    api_key = api_key.replace("Bearer ", "")  # extract the token
    return api_key


def _get_pydantic_json_dict(pydantic_obj: BaseModel) -> dict:
    try:
        return pydantic_obj.model_dump()  # type: ignore
    except:
        # if using pydantic v1
        return pydantic_obj.dict()


async def user_api_key_auth(
    request: Request, api_key: str = fastapi.Security(api_key_header)
) -> UserAPIKeyAuth:
    global master_key, prisma_client, llm_model_list, user_custom_auth, custom_db_client
    try:
        if isinstance(api_key, str):
            api_key = _get_bearer_token(api_key=api_key)
        ### USER-DEFINED AUTH FUNCTION ###
        if user_custom_auth is not None:
            response = await user_custom_auth(request=request, api_key=api_key)
            return UserAPIKeyAuth.model_validate(response)
        ### LITELLM-DEFINED AUTH FUNCTION ###
        if master_key is None:
            if isinstance(api_key, str):
                return UserAPIKeyAuth(api_key=api_key)
            else:
                return UserAPIKeyAuth()

        route: str = request.url.path
        if route == "/user/auth":
            if general_settings.get("allow_user_auth", False) == True:
                return UserAPIKeyAuth()
            else:
                raise HTTPException(
                    status_code=status.HTTP_403_FORBIDDEN,
                    detail="'allow_user_auth' not set or set to False",
                )

        if api_key is None:  # only require api key if master key is set
            raise Exception(f"No api key passed in.")

        # note: never string compare api keys, this is vulenerable to a time attack. Use secrets.compare_digest instead
        is_master_key_valid = secrets.compare_digest(api_key, master_key)
        if is_master_key_valid:
            return UserAPIKeyAuth(api_key=master_key)

        if route.startswith("/config/") and not is_master_key_valid:
            raise Exception(f"Only admin can modify config")

        if (
            (route.startswith("/key/") or route.startswith("/user/"))
            or route.startswith("/model/")
            and not is_master_key_valid
            and general_settings.get("allow_user_auth", False) != True
        ):
            raise Exception(
                f"If master key is set, only master key can be used to generate, delete, update or get info for new keys/users"
            )

        if (
            prisma_client is None and custom_db_client is None
        ):  # if both master key + user key submitted, and user key != master key, and no db connected, raise an error
            raise Exception("No connected db.")

        ## check for cache hit (In-Memory Cache)
        valid_token = user_api_key_cache.get_cache(key=api_key)
        verbose_proxy_logger.debug(f"valid_token from cache: {valid_token}")
        if valid_token is None:
            ## check db
            verbose_proxy_logger.debug(f"api key: {api_key}")
            if prisma_client is not None:
                valid_token = await prisma_client.get_data(
                    token=api_key,
                )

                expires = datetime.utcnow().replace(tzinfo=timezone.utc)
            elif custom_db_client is not None:
                valid_token = await custom_db_client.get_data(
                    key=api_key, table_name="key"
                )
            # Token exists, now check expiration.
            if valid_token.expires is not None:
                expiry_time = datetime.fromisoformat(valid_token.expires)
                if expiry_time >= datetime.utcnow():
                    # Token exists and is not expired.
                    return response
                else:
                    # Token exists but is expired.
                    raise HTTPException(
                        status_code=status.HTTP_403_FORBIDDEN,
                        detail="expired user key",
                    )
            verbose_proxy_logger.debug(f"valid token from prisma: {valid_token}")
            user_api_key_cache.set_cache(key=api_key, value=valid_token, ttl=60)
        elif valid_token is not None:
            verbose_proxy_logger.debug(f"API Key Cache Hit!")
        if valid_token:
            litellm.model_alias_map = valid_token.aliases
            config = valid_token.config
            if config != {}:
                model_list = config.get("model_list", [])
                llm_model_list = model_list
                verbose_proxy_logger.debug(
                    f"\n new llm router model list {llm_model_list}"
                )
            if (
                len(valid_token.models) == 0
            ):  # assume an empty model list means all models are allowed to be called
                pass
            else:
                try:
                    data = await request.json()
                except json.JSONDecodeError:
                    data = {}  # Provide a default value, such as an empty dictionary
                model = data.get("model", None)
                if model in litellm.model_alias_map:
                    model = litellm.model_alias_map[model]
                if model and model not in valid_token.models:
                    raise Exception(f"Token not allowed to access model")
            api_key = valid_token.token
            valid_token_dict = _get_pydantic_json_dict(valid_token)
            valid_token_dict.pop("token", None)
            """
            asyncio create task to update the user api key cache with the user db table as well

            This makes the user row data accessible to pre-api call hooks.
            """
            if prisma_client is not None:
                asyncio.create_task(
                    _cache_user_row(
                        user_id=valid_token.user_id,
                        cache=user_api_key_cache,
                        db=prisma_client,
                    )
                )
            elif custom_db_client is not None:
                asyncio.create_task(
                    _cache_user_row(
                        user_id=valid_token.user_id,
                        cache=user_api_key_cache,
                        db=custom_db_client,
                    )
                )
            return UserAPIKeyAuth(api_key=api_key, **valid_token_dict)
        else:
            raise Exception(f"Invalid token")
    except Exception as e:
        # verbose_proxy_logger.debug(f"An exception occurred - {traceback.format_exc()}")
        traceback.print_exc()
        if isinstance(e, HTTPException):
            raise e
        else:
            raise HTTPException(
                status_code=status.HTTP_401_UNAUTHORIZED,
                detail="invalid user key",
            )


def prisma_setup(database_url: Optional[str]):
    global prisma_client, proxy_logging_obj, user_api_key_cache

    if database_url is not None:
        try:
            prisma_client = PrismaClient(
                database_url=database_url, proxy_logging_obj=proxy_logging_obj
            )
        except Exception as e:
            raise e


def load_from_azure_key_vault(use_azure_key_vault: bool = False):
    if use_azure_key_vault is False:
        return

    try:
        from azure.keyvault.secrets import SecretClient
        from azure.identity import ClientSecretCredential

        # Set your Azure Key Vault URI
        KVUri = os.getenv("AZURE_KEY_VAULT_URI", None)

        # Set your Azure AD application/client ID, client secret, and tenant ID
        client_id = os.getenv("AZURE_CLIENT_ID", None)
        client_secret = os.getenv("AZURE_CLIENT_SECRET", None)
        tenant_id = os.getenv("AZURE_TENANT_ID", None)

        if (
            KVUri is not None
            and client_id is not None
            and client_secret is not None
            and tenant_id is not None
        ):
            # Initialize the ClientSecretCredential
            credential = ClientSecretCredential(
                client_id=client_id, client_secret=client_secret, tenant_id=tenant_id
            )

            # Create the SecretClient using the credential
            client = SecretClient(vault_url=KVUri, credential=credential)

            litellm.secret_manager_client = client
            litellm._key_management_system = KeyManagementSystem.AZURE_KEY_VAULT
        else:
            raise Exception(
                f"Missing KVUri or client_id or client_secret or tenant_id from environment"
            )
    except Exception as e:
        verbose_proxy_logger.debug(
            "Error when loading keys from Azure Key Vault. Ensure you run `pip install azure-identity azure-keyvault-secrets`"
        )


def cost_tracking():
    global prisma_client, custom_db_client
    if prisma_client is not None or custom_db_client is not None:
        if isinstance(litellm.success_callback, list):
            verbose_proxy_logger.debug("setting litellm success callback to track cost")
            if (track_cost_callback) not in litellm.success_callback:  # type: ignore
                litellm.success_callback.append(track_cost_callback)  # type: ignore


async def track_cost_callback(
    kwargs,  # kwargs to completion
    completion_response: litellm.ModelResponse,  # response from completion
    start_time=None,
    end_time=None,  # start/end time for completion
):
    global prisma_client, custom_db_client
    try:
        # check if it has collected an entire stream response
        verbose_proxy_logger.debug(
            f"kwargs stream: {kwargs.get('stream', None)} + complete streaming response: {kwargs.get('complete_streaming_response', None)}"
        )
        if "complete_streaming_response" in kwargs:
            # for tracking streaming cost we pass the "messages" and the output_text to litellm.completion_cost
            completion_response = kwargs["complete_streaming_response"]
            response_cost = litellm.completion_cost(
                completion_response=completion_response
            )
            verbose_proxy_logger.debug(f"streaming response_cost {response_cost}")
            user_api_key = kwargs["litellm_params"]["metadata"].get(
                "user_api_key", None
            )
            user_id = kwargs["litellm_params"]["metadata"].get(
                "user_api_key_user_id", None
            )
            if user_api_key and (
                prisma_client is not None or custom_db_client is not None
            ):
                await update_database(token=user_api_key, response_cost=response_cost)
        elif kwargs["stream"] == False:  # for non streaming responses
            response_cost = litellm.completion_cost(
                completion_response=completion_response
            )
            user_api_key = kwargs["litellm_params"]["metadata"].get(
                "user_api_key", None
            )
            user_id = kwargs["litellm_params"]["metadata"].get(
                "user_api_key_user_id", None
            )
            if user_api_key and (
                prisma_client is not None or custom_db_client is not None
            ):
                await update_database(
                    token=user_api_key, response_cost=response_cost, user_id=user_id
                )
    except Exception as e:
        verbose_proxy_logger.debug(f"error in tracking cost callback - {str(e)}")


async def update_database(token, response_cost, user_id=None):
    try:
        verbose_proxy_logger.debug(
            f"Enters prisma db call, token: {token}; user_id: {user_id}"
        )

        ### UPDATE USER SPEND ###
        async def _update_user_db():
            if user_id is None:
                return
            if prisma_client is not None:
                existing_spend_obj = await prisma_client.get_data(user_id=user_id)
            elif custom_db_client is not None:
                existing_spend_obj = await custom_db_client.get_data(
                    key=user_id, table_name="user"
                )
            if existing_spend_obj is None:
                existing_spend = 0
            else:
                existing_spend = existing_spend_obj.spend

            # Calculate the new cost by adding the existing cost and response_cost
            new_spend = existing_spend + response_cost

            verbose_proxy_logger.debug(f"new cost: {new_spend}")
            # Update the cost column for the given user id
            if prisma_client is not None:
                await prisma_client.update_data(
                    user_id=user_id, data={"spend": new_spend}
                )
            elif custom_db_client is not None:
                await custom_db_client.update_data(
                    key=user_id, value={"spend": new_spend}, table_name="user"
                )

        ### UPDATE KEY SPEND ###
        async def _update_key_db():
            if prisma_client is not None:
                # Fetch the existing cost for the given token
                existing_spend_obj = await prisma_client.get_data(token=token)
                verbose_proxy_logger.debug(f"existing spend: {existing_spend_obj}")
                if existing_spend_obj is None:
                    existing_spend = 0
                else:
                    existing_spend = existing_spend_obj.spend
                # Calculate the new cost by adding the existing cost and response_cost
                new_spend = existing_spend + response_cost

                verbose_proxy_logger.debug(f"new cost: {new_spend}")
                # Update the cost column for the given token
                await prisma_client.update_data(token=token, data={"spend": new_spend})
            elif custom_db_client is not None:
                # Fetch the existing cost for the given token
                existing_spend_obj = await custom_db_client.get_data(
                    key=token, table_name="key"
                )
                verbose_proxy_logger.debug(f"existing spend: {existing_spend_obj}")
                if existing_spend_obj is None:
                    existing_spend = 0
                else:
                    existing_spend = existing_spend_obj.spend
                # Calculate the new cost by adding the existing cost and response_cost
                new_spend = existing_spend + response_cost

                verbose_proxy_logger.debug(f"new cost: {new_spend}")
                # Update the cost column for the given token
                await custom_db_client.update_data(
                    key=token, value={"spend": new_spend}, table_name="key"
                )

        tasks = []
        tasks.append(_update_user_db())
        tasks.append(_update_key_db())
        await asyncio.gather(*tasks)
    except Exception as e:
        verbose_proxy_logger.debug(
            f"Error updating Prisma database: {traceback.format_exc()}"
        )
        pass


def run_ollama_serve():
    try:
        command = ["ollama", "serve"]

        with open(os.devnull, "w") as devnull:
            process = subprocess.Popen(command, stdout=devnull, stderr=devnull)
    except Exception as e:
        verbose_proxy_logger.debug(
            f"""
            LiteLLM Warning: proxy started with `ollama` model\n`ollama serve` failed with Exception{e}. \nEnsure you run `ollama serve`
        """
        )


async def _run_background_health_check():
    """
    Periodically run health checks in the background on the endpoints.

    Update health_check_results, based on this.
    """
    global health_check_results, llm_model_list, health_check_interval
    while True:
        healthy_endpoints, unhealthy_endpoints = await perform_health_check(
            model_list=llm_model_list
        )

        # Update the global variable with the health check results
        health_check_results["healthy_endpoints"] = healthy_endpoints
        health_check_results["unhealthy_endpoints"] = unhealthy_endpoints
        health_check_results["healthy_count"] = len(healthy_endpoints)
        health_check_results["unhealthy_count"] = len(unhealthy_endpoints)

        await asyncio.sleep(health_check_interval)


class ProxyConfig:
    """
    Abstraction class on top of config loading/updating logic. Gives us one place to control all config updating logic.
    """

    def __init__(self) -> None:
        pass

    def is_yaml(self, config_file_path: str) -> bool:
        if not os.path.isfile(config_file_path):
            return False

        _, file_extension = os.path.splitext(config_file_path)
        return file_extension.lower() == ".yaml" or file_extension.lower() == ".yml"

    async def get_config(self, config_file_path: Optional[str] = None) -> dict:
        global prisma_client, user_config_file_path

        file_path = config_file_path or user_config_file_path
        if config_file_path is not None:
            user_config_file_path = config_file_path
        # Load existing config
        ## Yaml
        if os.path.exists(f"{file_path}"):
            with open(f"{file_path}", "r") as config_file:
                config = yaml.safe_load(config_file)
        else:
            config = {
                "model_list": [],
                "general_settings": {},
                "router_settings": {},
                "litellm_settings": {},
            }

        ## DB
        if (
            prisma_client is not None
            and litellm.get_secret("SAVE_CONFIG_TO_DB", False) == True
        ):
            prisma_setup(database_url=None)  # in case it's not been connected yet
            _tasks = []
            keys = [
                "model_list",
                "general_settings",
                "router_settings",
                "litellm_settings",
            ]
            for k in keys:
                response = prisma_client.get_generic_data(
                    key="param_name", value=k, table_name="config"
                )
                _tasks.append(response)

            responses = await asyncio.gather(*_tasks)

        return config

    async def save_config(self, new_config: dict):
        global prisma_client, llm_router, user_config_file_path, llm_model_list, general_settings
        # Load existing config
        backup_config = await self.get_config()

        # Save the updated config
        ## YAML
        with open(f"{user_config_file_path}", "w") as config_file:
            yaml.dump(new_config, config_file, default_flow_style=False)

        # update Router - verifies if this is a valid config
        try:
            (
                llm_router,
                llm_model_list,
                general_settings,
            ) = await proxy_config.load_config(
                router=llm_router, config_file_path=user_config_file_path
            )
        except Exception as e:
            traceback.print_exc()
            # Revert to old config instead
            with open(f"{user_config_file_path}", "w") as config_file:
                yaml.dump(backup_config, config_file, default_flow_style=False)
            raise HTTPException(status_code=400, detail="Invalid config passed in")

        ## DB - writes valid config to db
        """
        - Do not write restricted params like 'api_key' to the database
        - if api_key is passed, save that to the local environment or connected secret manage (maybe expose `litellm.save_secret()`)
        """
        if (
            prisma_client is not None
            and litellm.get_secret("SAVE_CONFIG_TO_DB", default_value=False) == True
        ):
            ### KEY REMOVAL ###
            models = new_config.get("model_list", [])
            for m in models:
                if m.get("litellm_params", {}).get("api_key", None) is not None:
                    # pop the key
                    api_key = m["litellm_params"].pop("api_key")
                    # store in local env
                    key_name = f"LITELLM_MODEL_KEY_{uuid.uuid4()}"
                    os.environ[key_name] = api_key
                    # save the key name (not the value)
                    m["litellm_params"]["api_key"] = f"os.environ/{key_name}"
            await prisma_client.insert_data(data=new_config, table_name="config")

    async def load_config(
        self, router: Optional[litellm.Router], config_file_path: str
    ):
        """
        Load config values into proxy global state
        """
        global master_key, user_config_file_path, otel_logging, user_custom_auth, user_custom_auth_path, use_background_health_checks, health_check_interval, use_queue, custom_db_client

        # Load existing config
        config = await self.get_config(config_file_path=config_file_path)
        ## PRINT YAML FOR CONFIRMING IT WORKS
        printed_yaml = copy.deepcopy(config)
        printed_yaml.pop("environment_variables", None)

        verbose_proxy_logger.debug(
            f"Loaded config YAML (api_key and environment_variables are not shown):\n{json.dumps(printed_yaml, indent=2)}"
        )

        ## ENVIRONMENT VARIABLES
        environment_variables = config.get("environment_variables", None)
        if environment_variables:
            for key, value in environment_variables.items():
                os.environ[key] = value

        ## LITELLM MODULE SETTINGS (e.g. litellm.drop_params=True,..)
        litellm_settings = config.get("litellm_settings", None)
        if litellm_settings is None:
            litellm_settings = {}
        if litellm_settings:
            # ANSI escape code for blue text
            blue_color_code = "\033[94m"
            reset_color_code = "\033[0m"
            for key, value in litellm_settings.items():
                if key == "cache":
                    print(f"{blue_color_code}\nSetting Cache on Proxy")  # noqa
                    from litellm.caching import Cache

                    cache_params = {}
                    if "cache_params" in litellm_settings:
                        cache_params_in_config = litellm_settings["cache_params"]
                        # overwrie cache_params with cache_params_in_config
                        cache_params.update(cache_params_in_config)

                    cache_type = cache_params.get("type", "redis")

                    verbose_proxy_logger.debug(f"passed cache type={cache_type}")

                    if cache_type == "redis":
                        cache_host = litellm.get_secret("REDIS_HOST", None)
                        cache_port = litellm.get_secret("REDIS_PORT", None)
                        cache_password = litellm.get_secret("REDIS_PASSWORD", None)

                        cache_params.update(
                            {
                                "type": cache_type,
                                "host": cache_host,
                                "port": cache_port,
                                "password": cache_password,
                            }
                        )
                        # Assuming cache_type, cache_host, cache_port, and cache_password are strings
                        print(  # noqa
                            f"{blue_color_code}Cache Type:{reset_color_code} {cache_type}"
                        )  # noqa
                        print(  # noqa
                            f"{blue_color_code}Cache Host:{reset_color_code} {cache_host}"
                        )  # noqa
                        print(  # noqa
                            f"{blue_color_code}Cache Port:{reset_color_code} {cache_port}"
                        )  # noqa
                        print(  # noqa
                            f"{blue_color_code}Cache Password:{reset_color_code} {cache_password}"
                        )
                        print()  # noqa

                    # users can pass os.environ/ variables on the proxy - we should read them from the env
                    for key, value in cache_params.items():
                        if type(value) is str and value.startswith("os.environ/"):
                            cache_params[key] = litellm.get_secret(value)

                    ## to pass a complete url, or set ssl=True, etc. just set it as `os.environ[REDIS_URL] = <your-redis-url>`, _redis.py checks for REDIS specific environment variables
                    litellm.cache = Cache(**cache_params)
                    print(  # noqa
                        f"{blue_color_code}Set Cache on LiteLLM Proxy: {vars(litellm.cache.cache)}{reset_color_code}"
                    )
                elif key == "callbacks":
                    litellm.callbacks = [
                        get_instance_fn(value=value, config_file_path=config_file_path)
                    ]
                    verbose_proxy_logger.debug(
                        f"{blue_color_code} Initialized Callbacks - {litellm.callbacks} {reset_color_code}"
                    )
                elif key == "post_call_rules":
                    litellm.post_call_rules = [
                        get_instance_fn(value=value, config_file_path=config_file_path)
                    ]
                    verbose_proxy_logger.debug(
                        f"litellm.post_call_rules: {litellm.post_call_rules}"
                    )
                elif key == "success_callback":
                    litellm.success_callback = []

                    # intialize success callbacks
                    for callback in value:
                        # user passed custom_callbacks.async_on_succes_logger. They need us to import a function
                        if "." in callback:
                            litellm.success_callback.append(
                                get_instance_fn(value=callback)
                            )
                        # these are litellm callbacks - "langfuse", "sentry", "wandb"
                        else:
                            litellm.success_callback.append(callback)
                    verbose_proxy_logger.debug(
                        f"{blue_color_code} Initialized Success Callbacks - {litellm.success_callback} {reset_color_code}"
                    )
                elif key == "failure_callback":
                    litellm.failure_callback = []

                    # intialize success callbacks
                    for callback in value:
                        # user passed custom_callbacks.async_on_succes_logger. They need us to import a function
                        if "." in callback:
                            litellm.failure_callback.append(
                                get_instance_fn(value=callback)
                            )
                        # these are litellm callbacks - "langfuse", "sentry", "wandb"
                        else:
                            litellm.failure_callback.append(callback)
                    verbose_proxy_logger.debug(
                        f"{blue_color_code} Initialized Success Callbacks - {litellm.failure_callback} {reset_color_code}"
                    )
                elif key == "cache_params":
                    # this is set in the cache branch
                    # see usage here: https://docs.litellm.ai/docs/proxy/caching
                    pass
                else:
                    setattr(litellm, key, value)

        ## GENERAL SERVER SETTINGS (e.g. master key,..) # do this after initializing litellm, to ensure sentry logging works for proxylogging
        general_settings = config.get("general_settings", {})
        if general_settings is None:
            general_settings = {}
        if general_settings:
            ### LOAD SECRET MANAGER ###
            key_management_system = general_settings.get("key_management_system", None)
            if key_management_system is not None:
                if key_management_system == KeyManagementSystem.AZURE_KEY_VAULT.value:
                    ### LOAD FROM AZURE KEY VAULT ###
                    load_from_azure_key_vault(use_azure_key_vault=True)
                elif key_management_system == KeyManagementSystem.GOOGLE_KMS.value:
                    ### LOAD FROM GOOGLE KMS ###
                    load_google_kms(use_google_kms=True)
                else:
                    raise ValueError("Invalid Key Management System selected")
            ### [DEPRECATED] LOAD FROM GOOGLE KMS ### old way of loading from google kms
            use_google_kms = general_settings.get("use_google_kms", False)
            load_google_kms(use_google_kms=use_google_kms)
            ### [DEPRECATED] LOAD FROM AZURE KEY VAULT ### old way of loading from azure secret manager
            use_azure_key_vault = general_settings.get("use_azure_key_vault", False)
            load_from_azure_key_vault(use_azure_key_vault=use_azure_key_vault)
            ### ALERTING ###
            proxy_logging_obj.update_values(
                alerting=general_settings.get("alerting", None),
                alerting_threshold=general_settings.get("alerting_threshold", 600),
            )
            ### CONNECT TO DATABASE ###
            database_url = general_settings.get("database_url", None)
            if database_url and database_url.startswith("os.environ/"):
                verbose_proxy_logger.debug(f"GOING INTO LITELLM.GET_SECRET!")
                database_url = litellm.get_secret(database_url)
                verbose_proxy_logger.debug(f"RETRIEVED DB URL: {database_url}")
            ### MASTER KEY ###
            master_key = general_settings.get(
                "master_key", litellm.get_secret("LITELLM_MASTER_KEY", None)
            )
            if master_key and master_key.startswith("os.environ/"):
                master_key = litellm.get_secret(master_key)
            ### CUSTOM API KEY AUTH ###
            ## pass filepath
            custom_auth = general_settings.get("custom_auth", None)
            if custom_auth is not None:
                user_custom_auth = get_instance_fn(
                    value=custom_auth, config_file_path=config_file_path
                )
            ## dynamodb
            database_type = general_settings.get("database_type", None)
            if database_type is not None and (
                database_type == "dynamo_db" or database_type == "dynamodb"
            ):
                database_args = general_settings.get("database_args", None)
                custom_db_client = DBClient(
                    custom_db_args=database_args, custom_db_type=database_type
                )
            ## COST TRACKING ##
            cost_tracking()
            ### BACKGROUND HEALTH CHECKS ###
            # Enable background health checks
            use_background_health_checks = general_settings.get(
                "background_health_checks", False
            )
            health_check_interval = general_settings.get("health_check_interval", 300)

        router_params: dict = {
            "num_retries": 3,
            "cache_responses": litellm.cache
            != None,  # cache if user passed in cache values
        }
        ## MODEL LIST
        model_list = config.get("model_list", None)
        if model_list:
            router_params["model_list"] = model_list
            print(  # noqa
                f"\033[32mLiteLLM: Proxy initialized with Config, Set models:\033[0m"
            )  # noqa
            for model in model_list:
                ### LOAD FROM os.environ/ ###
                for k, v in model["litellm_params"].items():
                    if isinstance(v, str) and v.startswith("os.environ/"):
                        model["litellm_params"][k] = litellm.get_secret(v)
                print(f"\033[32m    {model.get('model_name', '')}\033[0m")  # noqa
                litellm_model_name = model["litellm_params"]["model"]
                litellm_model_api_base = model["litellm_params"].get("api_base", None)
                if "ollama" in litellm_model_name and litellm_model_api_base is None:
                    run_ollama_serve()

        ## ROUTER SETTINGS (e.g. routing_strategy, ...)
        router_settings = config.get("router_settings", None)
        if router_settings and isinstance(router_settings, dict):
            arg_spec = inspect.getfullargspec(litellm.Router)
            # model list already set
            exclude_args = {
                "self",
                "model_list",
            }

            available_args = [x for x in arg_spec.args if x not in exclude_args]

            for k, v in router_settings.items():
                if k in available_args:
                    router_params[k] = v

        router = litellm.Router(**router_params)  # type:ignore
        return router, model_list, general_settings


proxy_config = ProxyConfig()


async def generate_key_helper_fn(
    duration: Optional[str],
    models: list,
    aliases: dict,
    config: dict,
    spend: float,
    max_budget: Optional[float] = None,
    token: Optional[str] = None,
    user_id: Optional[str] = None,
    user_email: Optional[str] = None,
    max_parallel_requests: Optional[int] = None,
    metadata: Optional[dict] = {},
):
    global prisma_client, custom_db_client

    if prisma_client is None and custom_db_client is None:
        raise Exception(
            f"Connect Proxy to database to generate keys - https://docs.litellm.ai/docs/proxy/virtual_keys "
        )

    if token is None:
        token = f"sk-{secrets.token_urlsafe(16)}"

    def _duration_in_seconds(duration: str):
        match = re.match(r"(\d+)([smhd]?)", duration)
        if not match:
            raise ValueError("Invalid duration format")

        value, unit = match.groups()
        value = int(value)

        if unit == "s":
            return value
        elif unit == "m":
            return value * 60
        elif unit == "h":
            return value * 3600
        elif unit == "d":
            return value * 86400
        else:
            raise ValueError("Unsupported duration unit")

    if duration is None:  # allow tokens that never expire
        expires = None
    else:
        duration_s = _duration_in_seconds(duration=duration)
        expires = datetime.utcnow() + timedelta(seconds=duration_s)

    aliases_json = json.dumps(aliases)
    config_json = json.dumps(config)
    metadata_json = json.dumps(metadata)
    user_id = user_id or str(uuid.uuid4())
    try:
        # Create a new verification token (you may want to enhance this logic based on your needs)
        user_data = {
            "max_budget": max_budget,
            "user_email": user_email,
            "user_id": user_id,
            "spend": spend,
        }
        key_data = {
            "token": token,
            "expires": expires,
            "models": models,
            "aliases": aliases_json,
            "config": config_json,
            "spend": spend,
            "user_id": user_id,
            "max_parallel_requests": max_parallel_requests,
            "metadata": metadata_json,
        }
        if prisma_client is not None:
            verification_token_data = dict(key_data)
            verification_token_data.update(user_data)
            verbose_proxy_logger.debug("PrismaClient: Before Insert Data")
            await prisma_client.insert_data(data=verification_token_data)
        elif custom_db_client is not None:
            ## CREATE USER (If necessary)
            await custom_db_client.insert_data(value=user_data, table_name="user")
            ## CREATE KEY
            await custom_db_client.insert_data(value=key_data, table_name="key")
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR)
    return {
        "token": token,
        "expires": expires,
        "user_id": user_id,
        "max_budget": max_budget,
    }


async def delete_verification_token(tokens: List):
    global prisma_client
    try:
        if prisma_client:
            # Assuming 'db' is your Prisma Client instance
            deleted_tokens = await prisma_client.delete_data(tokens=tokens)
        else:
            raise Exception
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR)
    return deleted_tokens


def save_worker_config(**data):
    import json

    os.environ["WORKER_CONFIG"] = json.dumps(data)


async def initialize(
    model=None,
    alias=None,
    api_base=None,
    api_version=None,
    debug=False,
    detailed_debug=False,
    temperature=None,
    max_tokens=None,
    request_timeout=600,
    max_budget=None,
    telemetry=False,
    drop_params=True,
    add_function_to_prompt=True,
    headers=None,
    save=False,
    use_queue=False,
    config=None,
):
    global user_model, user_api_base, user_debug, user_detailed_debug, user_user_max_tokens, user_request_timeout, user_temperature, user_telemetry, user_headers, experimental, llm_model_list, llm_router, general_settings, master_key, user_custom_auth, prisma_client
    user_model = model
    user_debug = debug
    if debug == True:  # this needs to be first, so users can see Router init debugg
        from litellm._logging import verbose_router_logger, verbose_proxy_logger
        import logging

        # this must ALWAYS remain logging.INFO, DO NOT MODIFY THIS

        verbose_router_logger.setLevel(level=logging.INFO)  # set router logs to info
        verbose_proxy_logger.setLevel(level=logging.INFO)  # set proxy logs to info
    if detailed_debug == True:
        from litellm._logging import verbose_router_logger, verbose_proxy_logger
        import logging

        verbose_router_logger.setLevel(level=logging.DEBUG)  # set router logs to info
        verbose_proxy_logger.setLevel(level=logging.DEBUG)  # set proxy logs to debug
        litellm.set_verbose = True
    elif debug == False and detailed_debug == False:
        # users can control proxy debugging using env variable = 'LITELLM_LOG'
        litellm_log_setting = os.environ.get("LITELLM_LOG", "")
        if litellm_log_setting != None:
            if litellm_log_setting.upper() == "INFO":
                from litellm._logging import verbose_router_logger, verbose_proxy_logger
                import logging

                # this must ALWAYS remain logging.INFO, DO NOT MODIFY THIS

                verbose_router_logger.setLevel(
                    level=logging.INFO
                )  # set router logs to info
                verbose_proxy_logger.setLevel(
                    level=logging.INFO
                )  # set proxy logs to info
            elif litellm_log_setting.upper() == "DEBUG":
                from litellm._logging import verbose_router_logger, verbose_proxy_logger
                import logging

                verbose_router_logger.setLevel(
                    level=logging.DEBUG
                )  # set router logs to info
                verbose_proxy_logger.setLevel(
                    level=logging.DEBUG
                )  # set proxy logs to debug
                litellm.set_verbose = True

    dynamic_config = {"general": {}, user_model: {}}
    if config:
        (
            llm_router,
            llm_model_list,
            general_settings,
        ) = await proxy_config.load_config(router=llm_router, config_file_path=config)
    if headers:  # model-specific param
        user_headers = headers
        dynamic_config[user_model]["headers"] = headers
    if api_base:  # model-specific param
        user_api_base = api_base
        dynamic_config[user_model]["api_base"] = api_base
    if api_version:
        os.environ[
            "AZURE_API_VERSION"
        ] = api_version  # set this for azure - litellm can read this from the env
    if max_tokens:  # model-specific param
        user_max_tokens = max_tokens
        dynamic_config[user_model]["max_tokens"] = max_tokens
    if temperature:  # model-specific param
        user_temperature = temperature
        dynamic_config[user_model]["temperature"] = temperature
    if request_timeout:
        user_request_timeout = request_timeout
        dynamic_config[user_model]["request_timeout"] = request_timeout
    if alias:  # model-specific param
        dynamic_config[user_model]["alias"] = alias
    if drop_params == True:  # litellm-specific param
        litellm.drop_params = True
        dynamic_config["general"]["drop_params"] = True
    if add_function_to_prompt == True:  # litellm-specific param
        litellm.add_function_to_prompt = True
        dynamic_config["general"]["add_function_to_prompt"] = True
    if max_budget:  # litellm-specific param
        litellm.max_budget = max_budget
        dynamic_config["general"]["max_budget"] = max_budget
    if experimental:
        pass
    user_telemetry = telemetry
    usage_telemetry(feature="local_proxy_server")


# for streaming
def data_generator(response):
    verbose_proxy_logger.debug("inside generator")
    for chunk in response:
        verbose_proxy_logger.debug(f"returned chunk: {chunk}")
        try:
            yield f"data: {json.dumps(chunk.dict())}\n\n"
        except:
            yield f"data: {json.dumps(chunk)}\n\n"


async def async_data_generator(response, user_api_key_dict):
    verbose_proxy_logger.debug("inside generator")
    try:
        start_time = time.time()
        async for chunk in response:
            verbose_proxy_logger.debug(f"returned chunk: {chunk}")
            try:
                yield f"data: {json.dumps(chunk.dict())}\n\n"
            except Exception as e:
                yield f"data: {str(e)}\n\n"

        ### ALERTING ###
        end_time = time.time()
        asyncio.create_task(
            proxy_logging_obj.response_taking_too_long(
                start_time=start_time, end_time=end_time, type="slow_response"
            )
        )

        # Streaming is done, yield the [DONE] chunk
        done_message = "[DONE]"
        yield f"data: {done_message}\n\n"
    except Exception as e:
        yield f"data: {str(e)}\n\n"


def get_litellm_model_info(model: dict = {}):
    model_info = model.get("model_info", {})
    model_to_lookup = model.get("litellm_params", {}).get("model", None)
    try:
        if "azure" in model_to_lookup:
            model_to_lookup = model_info.get("base_model", None)
        litellm_model_info = litellm.get_model_info(model_to_lookup)
        return litellm_model_info
    except:
        # this should not block returning on /model/info
        # if litellm does not have info on the model it should return {}
        return {}


def parse_cache_control(cache_control):
    cache_dict = {}
    directives = cache_control.split(", ")

    for directive in directives:
        if "=" in directive:
            key, value = directive.split("=")
            cache_dict[key] = value
        else:
            cache_dict[directive] = True

    return cache_dict


@router.on_event("startup")
async def startup_event():
    global prisma_client, master_key, use_background_health_checks, llm_router, llm_model_list, general_settings
    import json

    ### LOAD MASTER KEY ###
    # check if master key set in environment - load from there
    master_key = litellm.get_secret("LITELLM_MASTER_KEY", None)
    # check if DATABASE_URL in environment - load from there
    if prisma_client is None:
        prisma_setup(database_url=os.getenv("DATABASE_URL"))

    ### LOAD CONFIG ###
    worker_config = litellm.get_secret("WORKER_CONFIG")
    verbose_proxy_logger.debug(f"worker_config: {worker_config}")
    # check if it's a valid file path
    if os.path.isfile(worker_config):
        if proxy_config.is_yaml(config_file_path=worker_config):
            (
                llm_router,
                llm_model_list,
                general_settings,
            ) = await proxy_config.load_config(
                router=llm_router, config_file_path=worker_config
            )
        else:
            await initialize(**worker_config)
    else:
        # if not, assume it's a json string
        worker_config = json.loads(os.getenv("WORKER_CONFIG"))
        await initialize(**worker_config)
    proxy_logging_obj._init_litellm_callbacks()  # INITIALIZE LITELLM CALLBACKS ON SERVER STARTUP <- do this to catch any logging errors on startup, not when calls are being made

    if use_background_health_checks:
        asyncio.create_task(
            _run_background_health_check()
        )  # start the background health check coroutine.

    verbose_proxy_logger.debug(f"prisma client - {prisma_client}")
    if prisma_client is not None:
        await prisma_client.connect()

    if custom_db_client is not None:
        await custom_db_client.connect()

    if prisma_client is not None and master_key is not None:
        # add master key to db
        await generate_key_helper_fn(
            duration=None, models=[], aliases={}, config={}, spend=0, token=master_key
        )

    if custom_db_client is not None and master_key is not None:
        # add master key to db
        await generate_key_helper_fn(
            duration=None, models=[], aliases={}, config={}, spend=0, token=master_key
        )


#### API ENDPOINTS ####
@router.get(
    "/v1/models", dependencies=[Depends(user_api_key_auth)], tags=["model management"]
)
@router.get(
    "/models", dependencies=[Depends(user_api_key_auth)], tags=["model management"]
)  # if project requires model list
def model_list():
    global llm_model_list, general_settings
    all_models = []
    if general_settings.get("infer_model_from_keys", False):
        all_models = litellm.utils.get_valid_models()
    if llm_model_list:
        all_models = list(set(all_models + [m["model_name"] for m in llm_model_list]))
    if user_model is not None:
        all_models += [user_model]
    verbose_proxy_logger.debug(f"all_models: {all_models}")
    ### CHECK OLLAMA MODELS ###
    try:
        response = requests.get("http://0.0.0.0:11434/api/tags")
        models = response.json()["models"]
        ollama_models = ["ollama/" + m["name"].replace(":latest", "") for m in models]
        all_models.extend(ollama_models)
    except Exception as e:
        pass
    return dict(
        data=[
            {
                "id": model,
                "object": "model",
                "created": 1677610602,
                "owned_by": "openai",
            }
            for model in all_models
        ],
        object="list",
    )


@router.post(
    "/v1/completions", dependencies=[Depends(user_api_key_auth)], tags=["completions"]
)
@router.post(
    "/completions", dependencies=[Depends(user_api_key_auth)], tags=["completions"]
)
@router.post(
    "/engines/{model:path}/completions",
    dependencies=[Depends(user_api_key_auth)],
    tags=["completions"],
)
async def completion(
    request: Request,
    fastapi_response: Response,
    model: Optional[str] = None,
    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
    background_tasks: BackgroundTasks = BackgroundTasks(),
):
    global user_temperature, user_request_timeout, user_max_tokens, user_api_base
    try:
        body = await request.body()
        body_str = body.decode()
        try:
            data = ast.literal_eval(body_str)
        except:
            data = json.loads(body_str)

        data["user"] = data.get("user", user_api_key_dict.user_id)
        data["model"] = (
            general_settings.get("completion_model", None)  # server default
            or user_model  # model name passed via cli args
            or model  # for azure deployments
            or data["model"]  # default passed in http request
        )
        if user_model:
            data["model"] = user_model
        if "metadata" in data:
            data["metadata"]["user_api_key"] = user_api_key_dict.api_key
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
            data["metadata"]["headers"] = dict(request.headers)
        else:
            data["metadata"] = {
                "user_api_key": user_api_key_dict.api_key,
                "user_api_key_user_id": user_api_key_dict.user_id,
            }
            data["metadata"]["headers"] = dict(request.headers)
        # override with user settings, these are params passed via cli
        if user_temperature:
            data["temperature"] = user_temperature
        if user_request_timeout:
            data["request_timeout"] = user_request_timeout
        if user_max_tokens:
            data["max_tokens"] = user_max_tokens
        if user_api_base:
            data["api_base"] = user_api_base

        ### CALL HOOKS ### - modify incoming data before calling the model
        data = await proxy_logging_obj.pre_call_hook(
            user_api_key_dict=user_api_key_dict, data=data, call_type="completion"
        )

        start_time = time.time()

        ### ROUTE THE REQUESTs ###
        router_model_names = (
            [m["model_name"] for m in llm_model_list]
            if llm_model_list is not None
            else []
        )
        # skip router if user passed their key
        if "api_key" in data:
            response = await litellm.atext_completion(**data)
        elif (
            llm_router is not None and data["model"] in router_model_names
        ):  # model in router model list
            response = await llm_router.atext_completion(**data)
        elif (
            llm_router is not None
            and llm_router.model_group_alias is not None
            and data["model"] in llm_router.model_group_alias
        ):  # model set in model_group_alias
            response = await llm_router.atext_completion(**data)
        elif (
            llm_router is not None and data["model"] in llm_router.deployment_names
        ):  # model in router deployments, calling a specific deployment on the router
            response = await llm_router.atext_completion(
                **data, specific_deployment=True
            )
        else:  # router is not set
            response = await litellm.atext_completion(**data)

        if hasattr(response, "_hidden_params"):
            model_id = response._hidden_params.get("model_id", None) or ""
        else:
            model_id = ""

        verbose_proxy_logger.debug(f"final response: {response}")
        if (
            "stream" in data and data["stream"] == True
        ):  # use generate_responses to stream responses
            custom_headers = {"x-litellm-model-id": model_id}
            return StreamingResponse(
                async_data_generator(
                    user_api_key_dict=user_api_key_dict,
                    response=response,
                ),
                media_type="text/event-stream",
                headers=custom_headers,
            )

        ### ALERTING ###
        end_time = time.time()
        asyncio.create_task(
            proxy_logging_obj.response_taking_too_long(
                start_time=start_time, end_time=end_time, type="slow_response"
            )
        )

        fastapi_response.headers["x-litellm-model-id"] = model_id
        return response
    except Exception as e:
        verbose_proxy_logger.debug(f"EXCEPTION RAISED IN PROXY MAIN.PY")
        verbose_proxy_logger.debug(
            f"\033[1;31mAn error occurred: {e}\n\n Debug this by setting `--debug`, e.g. `litellm --model gpt-3.5-turbo --debug`"
        )
        traceback.print_exc()
        error_traceback = traceback.format_exc()
        error_msg = f"{str(e)}\n\n{error_traceback}"
        try:
            status = e.status_code  # type: ignore
        except:
            status = 500
        raise HTTPException(status_code=status, detail=error_msg)


@router.post(
    "/v1/chat/completions",
    dependencies=[Depends(user_api_key_auth)],
    tags=["chat/completions"],
)
@router.post(
    "/chat/completions",
    dependencies=[Depends(user_api_key_auth)],
    tags=["chat/completions"],
)
@router.post(
    "/openai/deployments/{model:path}/chat/completions",
    dependencies=[Depends(user_api_key_auth)],
    tags=["chat/completions"],
)  # azure compatible endpoint
async def chat_completion(
    request: Request,
    fastapi_response: Response,
    model: Optional[str] = None,
    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
    background_tasks: BackgroundTasks = BackgroundTasks(),
):
    global general_settings, user_debug, proxy_logging_obj, llm_model_list
    try:
        data = {}
        body = await request.body()
        body_str = body.decode()
        try:
            data = ast.literal_eval(body_str)
        except:
            data = json.loads(body_str)

        # Include original request and headers in the data
        data["proxy_server_request"] = {
            "url": str(request.url),
            "method": request.method,
            "headers": dict(request.headers),
            "body": copy.copy(data),  # use copy instead of deepcopy
        }

        ## Cache Controls
        headers = request.headers
        verbose_proxy_logger.debug(f"Request Headers: {headers}")
        cache_control_header = headers.get("Cache-Control", None)
        if cache_control_header:
            cache_dict = parse_cache_control(cache_control_header)
            data["ttl"] = cache_dict.get("s-maxage")

        verbose_proxy_logger.debug(f"receiving data: {data}")
        data["model"] = (
            general_settings.get("completion_model", None)  # server default
            or user_model  # model name passed via cli args
            or model  # for azure deployments
            or data["model"]  # default passed in http request
        )

        # users can pass in 'user' param to /chat/completions. Don't override it
        if data.get("user", None) is None and user_api_key_dict.user_id is not None:
            # if users are using user_api_key_auth, set `user` in `data`
            data["user"] = user_api_key_dict.user_id

        if "metadata" in data:
            verbose_proxy_logger.debug(f'received metadata: {data["metadata"]}')
            data["metadata"]["user_api_key"] = user_api_key_dict.api_key
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
            data["metadata"]["headers"] = dict(request.headers)
        else:
            data["metadata"] = {"user_api_key": user_api_key_dict.api_key}
            data["metadata"]["headers"] = dict(request.headers)
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id

        global user_temperature, user_request_timeout, user_max_tokens, user_api_base
        # override with user settings, these are params passed via cli
        if user_temperature:
            data["temperature"] = user_temperature
        if user_request_timeout:
            data["request_timeout"] = user_request_timeout
        if user_max_tokens:
            data["max_tokens"] = user_max_tokens
        if user_api_base:
            data["api_base"] = user_api_base

        ### CALL HOOKS ### - modify incoming data before calling the model
        data = await proxy_logging_obj.pre_call_hook(
            user_api_key_dict=user_api_key_dict, data=data, call_type="completion"
        )

        start_time = time.time()

        ### ROUTE THE REQUEST ###
        router_model_names = (
            [m["model_name"] for m in llm_model_list]
            if llm_model_list is not None
            else []
        )
        # skip router if user passed their key
        if "api_key" in data:
            response = await litellm.acompletion(**data)
        elif "user_config" in data:
            # initialize a new router instance. make request using this Router
            router_config = data.pop("user_config")
            user_router = litellm.Router(**router_config)
            response = await user_router.acompletion(**data)
        elif (
            llm_router is not None and data["model"] in router_model_names
        ):  # model in router model list
            response = await llm_router.acompletion(**data)
        elif (
            llm_router is not None
            and llm_router.model_group_alias is not None
            and data["model"] in llm_router.model_group_alias
        ):  # model set in model_group_alias
            response = await llm_router.acompletion(**data)
        elif (
            llm_router is not None and data["model"] in llm_router.deployment_names
        ):  # model in router deployments, calling a specific deployment on the router
            response = await llm_router.acompletion(**data, specific_deployment=True)
        else:  # router is not set
            response = await litellm.acompletion(**data)

        if hasattr(response, "_hidden_params"):
            model_id = response._hidden_params.get("model_id", None) or ""
        else:
            model_id = ""

        if (
            "stream" in data and data["stream"] == True
        ):  # use generate_responses to stream responses
            custom_headers = {"x-litellm-model-id": model_id}
            return StreamingResponse(
                async_data_generator(
                    user_api_key_dict=user_api_key_dict,
                    response=response,
                ),
                media_type="text/event-stream",
                headers=custom_headers,
            )

        ### ALERTING ###
        end_time = time.time()
        asyncio.create_task(
            proxy_logging_obj.response_taking_too_long(
                start_time=start_time, end_time=end_time, type="slow_response"
            )
        )

        fastapi_response.headers["x-litellm-model-id"] = model_id
        return response
    except Exception as e:
        traceback.print_exc()
        await proxy_logging_obj.post_call_failure_hook(
            user_api_key_dict=user_api_key_dict, original_exception=e
        )
        verbose_proxy_logger.debug(
            f"\033[1;31mAn error occurred: {e}\n\n Debug this by setting `--debug`, e.g. `litellm --model gpt-3.5-turbo --debug`"
        )
        router_model_names = (
            [m["model_name"] for m in llm_model_list]
            if llm_model_list is not None
            else []
        )
        if llm_router is not None and data.get("model", "") in router_model_names:
            verbose_proxy_logger.debug("Results from router")
            verbose_proxy_logger.debug("\nRouter stats")
            verbose_proxy_logger.debug("\nTotal Calls made")
            for key, value in llm_router.total_calls.items():
                verbose_proxy_logger.debug(f"{key}: {value}")
            verbose_proxy_logger.debug("\nSuccess Calls made")
            for key, value in llm_router.success_calls.items():
                verbose_proxy_logger.debug(f"{key}: {value}")
            verbose_proxy_logger.debug("\nFail Calls made")
            for key, value in llm_router.fail_calls.items():
                verbose_proxy_logger.debug(f"{key}: {value}")
        if user_debug:
            traceback.print_exc()

        if isinstance(e, HTTPException):
            raise e
        else:
            error_traceback = traceback.format_exc()
            error_msg = f"{str(e)}\n\n{error_traceback}"
            try:
                status = e.status_code  # type: ignore
            except:
                status = 500
            raise HTTPException(status_code=status, detail=error_msg)


@router.post(
    "/v1/embeddings",
    dependencies=[Depends(user_api_key_auth)],
    response_class=ORJSONResponse,
    tags=["embeddings"],
)
@router.post(
    "/embeddings",
    dependencies=[Depends(user_api_key_auth)],
    response_class=ORJSONResponse,
    tags=["embeddings"],
)
async def embeddings(
    request: Request,
    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
    background_tasks: BackgroundTasks = BackgroundTasks(),
):
    global proxy_logging_obj
    try:
        # Use orjson to parse JSON data, orjson speeds up requests significantly
        body = await request.body()
        data = orjson.loads(body)

        # Include original request and headers in the data
        data["proxy_server_request"] = {
            "url": str(request.url),
            "method": request.method,
            "headers": dict(request.headers),
            "body": copy.copy(data),  # use copy instead of deepcopy
        }

        if data.get("user", None) is None and user_api_key_dict.user_id is not None:
            data["user"] = user_api_key_dict.user_id

        data["model"] = (
            general_settings.get("embedding_model", None)  # server default
            or user_model  # model name passed via cli args
            or data["model"]  # default passed in http request
        )
        if user_model:
            data["model"] = user_model
        if "metadata" in data:
            data["metadata"]["user_api_key"] = user_api_key_dict.api_key
            data["metadata"]["headers"] = dict(request.headers)
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
        else:
            data["metadata"] = {"user_api_key": user_api_key_dict.api_key}
            data["metadata"]["headers"] = dict(request.headers)
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id

        router_model_names = (
            [m["model_name"] for m in llm_model_list]
            if llm_model_list is not None
            else []
        )
        if (
            "input" in data
            and isinstance(data["input"], list)
            and isinstance(data["input"][0], list)
            and isinstance(data["input"][0][0], int)
        ):  # check if array of tokens passed in
            # check if non-openai/azure model called - e.g. for langchain integration
            if llm_model_list is not None and data["model"] in router_model_names:
                for m in llm_model_list:
                    if m["model_name"] == data["model"] and (
                        m["litellm_params"]["model"] in litellm.open_ai_embedding_models
                        or m["litellm_params"]["model"].startswith("azure/")
                    ):
                        pass
                    else:
                        # non-openai/azure embedding model called with token input
                        input_list = []
                        for i in data["input"]:
                            input_list.append(
                                litellm.decode(model="gpt-3.5-turbo", tokens=i)
                            )
                        data["input"] = input_list
                        break

        ### CALL HOOKS ### - modify incoming data / reject request before calling the model
        data = await proxy_logging_obj.pre_call_hook(
            user_api_key_dict=user_api_key_dict, data=data, call_type="embeddings"
        )

        start_time = time.time()

        ## ROUTE TO CORRECT ENDPOINT ##
        # skip router if user passed their key
        if "api_key" in data:
            response = await litellm.aembedding(**data)
        elif "user_config" in data:
            # initialize a new router instance. make request using this Router
            router_config = data.pop("user_config")
            user_router = litellm.Router(**router_config)
            response = await user_router.aembedding(**data)
        elif (
            llm_router is not None and data["model"] in router_model_names
        ):  # model in router model list
            response = await llm_router.aembedding(**data)
        elif (
            llm_router is not None
            and llm_router.model_group_alias is not None
            and data["model"] in llm_router.model_group_alias
        ):  # model set in model_group_alias
            response = await llm_router.aembedding(
                **data
            )  # ensure this goes the llm_router, router will do the correct alias mapping
        elif (
            llm_router is not None and data["model"] in llm_router.deployment_names
        ):  # model in router deployments, calling a specific deployment on the router
            response = await llm_router.aembedding(**data, specific_deployment=True)
        else:
            response = await litellm.aembedding(**data)

        ### ALERTING ###
        end_time = time.time()
        asyncio.create_task(
            proxy_logging_obj.response_taking_too_long(
                start_time=start_time, end_time=end_time, type="slow_response"
            )
        )

        return response
    except Exception as e:
        await proxy_logging_obj.post_call_failure_hook(
            user_api_key_dict=user_api_key_dict, original_exception=e
        )
        traceback.print_exc()
        if isinstance(e, HTTPException):
            raise e
        else:
            error_traceback = traceback.format_exc()
            error_msg = f"{str(e)}\n\n{error_traceback}"
            try:
                status = e.status_code  # type: ignore
            except:
                status = 500
            raise HTTPException(status_code=status, detail=error_msg)


@router.post(
    "/v1/images/generations",
    dependencies=[Depends(user_api_key_auth)],
    response_class=ORJSONResponse,
    tags=["image generation"],
)
@router.post(
    "/images/generations",
    dependencies=[Depends(user_api_key_auth)],
    response_class=ORJSONResponse,
    tags=["image generation"],
)
async def image_generation(
    request: Request,
    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
    background_tasks: BackgroundTasks = BackgroundTasks(),
):
    global proxy_logging_obj
    try:
        # Use orjson to parse JSON data, orjson speeds up requests significantly
        body = await request.body()
        data = orjson.loads(body)

        # Include original request and headers in the data
        data["proxy_server_request"] = {
            "url": str(request.url),
            "method": request.method,
            "headers": dict(request.headers),
            "body": copy.copy(data),  # use copy instead of deepcopy
        }

        if data.get("user", None) is None and user_api_key_dict.user_id is not None:
            data["user"] = user_api_key_dict.user_id

        data["model"] = (
            general_settings.get("image_generation_model", None)  # server default
            or user_model  # model name passed via cli args
            or data["model"]  # default passed in http request
        )
        if user_model:
            data["model"] = user_model
        if "metadata" in data:
            data["metadata"]["user_api_key"] = user_api_key_dict.api_key
            data["metadata"]["headers"] = dict(request.headers)
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
        else:
            data["metadata"] = {"user_api_key": user_api_key_dict.api_key}
            data["metadata"]["headers"] = dict(request.headers)
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id

        router_model_names = (
            [m["model_name"] for m in llm_model_list]
            if llm_model_list is not None
            else []
        )

        ### CALL HOOKS ### - modify incoming data / reject request before calling the model
        data = await proxy_logging_obj.pre_call_hook(
            user_api_key_dict=user_api_key_dict, data=data, call_type="embeddings"
        )

        start_time = time.time()

        ## ROUTE TO CORRECT ENDPOINT ##
        # skip router if user passed their key
        if "api_key" in data:
            response = await litellm.aimage_generation(**data)
        elif (
            llm_router is not None and data["model"] in router_model_names
        ):  # model in router model list
            response = await llm_router.aimage_generation(**data)
        elif (
            llm_router is not None and data["model"] in llm_router.deployment_names
        ):  # model in router deployments, calling a specific deployment on the router
            response = await llm_router.aimage_generation(
                **data, specific_deployment=True
            )
        elif (
            llm_router is not None
            and llm_router.model_group_alias is not None
            and data["model"] in llm_router.model_group_alias
        ):  # model set in model_group_alias
            response = await llm_router.aimage_generation(
                **data
            )  # ensure this goes the llm_router, router will do the correct alias mapping
        else:
            response = await litellm.aimage_generation(**data)

        ### ALERTING ###
        end_time = time.time()
        asyncio.create_task(
            proxy_logging_obj.response_taking_too_long(
                start_time=start_time, end_time=end_time, type="slow_response"
            )
        )

        return response
    except Exception as e:
        await proxy_logging_obj.post_call_failure_hook(
            user_api_key_dict=user_api_key_dict, original_exception=e
        )
        traceback.print_exc()
        if isinstance(e, HTTPException):
            raise e
        else:
            error_traceback = traceback.format_exc()
            error_msg = f"{str(e)}\n\n{error_traceback}"
            try:
                status = e.status_code  # type: ignore
            except:
                status = 500
            raise HTTPException(status_code=status, detail=error_msg)


#### KEY MANAGEMENT ####


@router.post(
    "/key/generate",
    tags=["key management"],
    dependencies=[Depends(user_api_key_auth)],
    response_model=GenerateKeyResponse,
)
async def generate_key_fn(
    request: Request,
    data: GenerateKeyRequest,
    Authorization: Optional[str] = Header(None),
):
    """
    Generate an API key based on the provided data.

    Docs: https://docs.litellm.ai/docs/proxy/virtual_keys

    Parameters:
    - duration: Optional[str] - Specify the length of time the token is valid for. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d"). **(Default is set to 1 hour.)**
    - models: Optional[list] - Model_name's a user is allowed to call. (if empty, key is allowed to call all models)
    - aliases: Optional[dict] - Any alias mappings, on top of anything in the config.yaml model list. - https://docs.litellm.ai/docs/proxy/virtual_keys#managing-auth---upgradedowngrade-models
    - config: Optional[dict] - any key-specific configs, overrides config in config.yaml
    - spend: Optional[int] - Amount spent by key. Default is 0. Will be updated by proxy whenever key is used. https://docs.litellm.ai/docs/proxy/virtual_keys#managing-auth---tracking-spend
    - max_parallel_requests: Optional[int] - Rate limit a user based on the number of parallel requests. Raises 429 error, if user's parallel requests > x.
    - metadata: Optional[dict] - Metadata for key, store information for key. Example metadata = {"team": "core-infra", "app": "app2", "email": "ishaan@berri.ai" }

    Returns:
    - key: (str) The generated api key
    - expires: (datetime) Datetime object for when key expires.
    - user_id: (str) Unique user id - used for tracking spend across multiple keys for same user id.
    """
    verbose_proxy_logger.debug("entered /key/generate")
    data_json = data.json()  # type: ignore
    response = await generate_key_helper_fn(**data_json)
    return GenerateKeyResponse(
        key=response["token"], expires=response["expires"], user_id=response["user_id"]
    )


@router.post(
    "/key/update", tags=["key management"], dependencies=[Depends(user_api_key_auth)]
)
async def update_key_fn(request: Request, data: UpdateKeyRequest):
    """
    Update an existing key
    """
    global prisma_client
    try:
        data_json: dict = data.json()
        key = data_json.pop("key")
        # get the row from db
        if prisma_client is None:
            raise Exception("Not connected to DB!")

        non_default_values = {k: v for k, v in data_json.items() if v is not None}
        response = await prisma_client.update_data(
            token=key, data={**non_default_values, "token": key}
        )
        return {"key": key, **non_default_values}
        # update based on remaining passed in values
    except Exception as e:
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail={"error": str(e)},
        )


@router.post(
    "/key/delete", tags=["key management"], dependencies=[Depends(user_api_key_auth)]
)
async def delete_key_fn(request: Request, data: DeleteKeyRequest):
    try:
        keys = data.keys

        deleted_keys = await delete_verification_token(tokens=keys)
        assert len(keys) == deleted_keys
        return {"deleted_keys": keys}
    except Exception as e:
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail={"error": str(e)},
        )


@router.get(
    "/key/info", tags=["key management"], dependencies=[Depends(user_api_key_auth)]
)
async def info_key_fn(
    key: str = fastapi.Query(..., description="Key in the request parameters")
):
    global prisma_client
    try:
        if prisma_client is None:
            raise Exception(
                f"Database not connected. Connect a database to your proxy - https://docs.litellm.ai/docs/simple_proxy#managing-auth---virtual-keys"
            )
        key_info = await prisma_client.get_data(token=key)
        return {"key": key, "info": key_info}
    except Exception as e:
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail={"error": str(e)},
        )


#### USER MANAGEMENT ####
@router.post(
    "/user/new",
    tags=["user management"],
    dependencies=[Depends(user_api_key_auth)],
    response_model=NewUserResponse,
)
async def new_user(data: NewUserRequest):
    """
    Use this to create a new user with a budget.

    Returns user id, budget + new key.

    Parameters:
    - user_id: Optional[str] - Specify a user id. If not set, a unique id will be generated.
    - max_budget: Optional[float] - Specify max budget for a given user.
    - duration: Optional[str] - Specify the length of time the token is valid for. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d"). **(Default is set to 1 hour.)**
    - models: Optional[list] - Model_name's a user is allowed to call. (if empty, key is allowed to call all models)
    - aliases: Optional[dict] - Any alias mappings, on top of anything in the config.yaml model list. - https://docs.litellm.ai/docs/proxy/virtual_keys#managing-auth---upgradedowngrade-models
    - config: Optional[dict] - any key-specific configs, overrides config in config.yaml
    - spend: Optional[int] - Amount spent by key. Default is 0. Will be updated by proxy whenever key is used. https://docs.litellm.ai/docs/proxy/virtual_keys#managing-auth---tracking-spend
    - max_parallel_requests: Optional[int] - Rate limit a user based on the number of parallel requests. Raises 429 error, if user's parallel requests > x.
    - metadata: Optional[dict] - Metadata for key, store information for key. Example metadata = {"team": "core-infra", "app": "app2", "email": "ishaan@berri.ai" }

    Returns:
    - key: (str) The generated api key
    - expires: (datetime) Datetime object for when key expires.
    - user_id: (str) Unique user id - used for tracking spend across multiple keys for same user id.
    - max_budget: (float|None) Max budget for given user.
    """
    data_json = data.json()  # type: ignore
    response = await generate_key_helper_fn(**data_json)
    return NewUserResponse(
        key=response["token"],
        expires=response["expires"],
        user_id=response["user_id"],
        max_budget=response["max_budget"],
    )


@router.post(
    "/user/auth", tags=["user management"], dependencies=[Depends(user_api_key_auth)]
)
async def user_auth(request: Request):
    """
    Allows UI ("https://dashboard.litellm.ai/", or self-hosted - os.getenv("LITELLM_HOSTED_UI")) to request a magic link to be sent to user email, for auth to proxy.

    Only allows emails from accepted email subdomains.

    Rate limit: 1 request every 60s.

    Only works, if you enable 'allow_user_auth' in general settings:
    e.g.:
    ```yaml
    general_settings:
        allow_user_auth: true
    ```

    Requirements:
    SMTP server details saved in .env:
    - os.environ["SMTP_HOST"]
    - os.environ["SMTP_PORT"]
    - os.environ["SMTP_USERNAME"]
    - os.environ["SMTP_PASSWORD"]
    - os.environ["SMTP_SENDER_EMAIL"]
    """
    global prisma_client

    data = await request.json()  # type: ignore
    user_email = data["user_email"]
    page_params = data["page"]
    if user_email is None:
        raise HTTPException(status_code=400, detail="User email is none")

    if prisma_client is None:  # if no db connected, raise an error
        raise Exception("No connected db.")

    ### Check if user email in user table
    response = await prisma_client.get_generic_data(
        key="user_email", value=user_email, table_name="users"
    )
    ### if so - generate a 24 hr key with that user id
    if response is not None:
        user_id = response.user_id
        response = await generate_key_helper_fn(
            **{"duration": "24hr", "models": [], "aliases": {}, "config": {}, "spend": 0, "user_id": user_id}  # type: ignore
        )
    else:  ### else - create new user
        response = await generate_key_helper_fn(
            **{"duration": "24hr", "models": [], "aliases": {}, "config": {}, "spend": 0, "user_email": user_email}  # type: ignore
        )

    base_url = os.getenv("LITELLM_HOSTED_UI", "https://dashboard.litellm.ai/")

    params = {
        "sender_name": "LiteLLM Proxy",
        "sender_email": os.getenv("SMTP_SENDER_EMAIL"),
        "receiver_email": user_email,
        "subject": "Your Magic Link",
        "html": f"<strong> Follow this  link, to login:\n\n{base_url}user/?token={response['token']}&user_id={response['user_id']}&page={page_params}</strong>",
    }

    await send_email(**params)
    return "Email sent!"


@router.get(
    "/user/info", tags=["user management"], dependencies=[Depends(user_api_key_auth)]
)
async def user_info(
    user_id: str = fastapi.Query(..., description="User ID in the request parameters")
):
    """
    Use this to get user information. (user row + all user key info)
    """
    global prisma_client
    try:
        if prisma_client is None:
            raise Exception(
                f"Database not connected. Connect a database to your proxy - https://docs.litellm.ai/docs/simple_proxy#managing-auth---virtual-keys"
            )
        ## GET USER ROW ##
        user_info = await prisma_client.get_data(user_id=user_id)
        ## GET ALL KEYS ##
        keys = await prisma_client.get_data(
            user_id=user_id, table_name="key", query_type="find_all"
        )
        return {"user_id": user_id, "user_info": user_info, "keys": keys}
    except Exception as e:
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail={"error": str(e)},
        )


@router.post(
    "/user/update", tags=["user management"], dependencies=[Depends(user_api_key_auth)]
)
async def user_update(request: Request):
    """
    [TODO]: Use this to update user budget
    """
    pass


#### MODEL MANAGEMENT ####


#### [BETA] - This is a beta endpoint, format might change based on user feedback. - https://github.com/BerriAI/litellm/issues/964
@router.post(
    "/model/new",
    description="Allows adding new models to the model list in the config.yaml",
    tags=["model management"],
    dependencies=[Depends(user_api_key_auth)],
)
async def add_new_model(model_params: ModelParams):
    global llm_router, llm_model_list, general_settings, user_config_file_path, proxy_config
    try:
        # Load existing config
        config = await proxy_config.get_config()

        verbose_proxy_logger.debug(f"User config path: {user_config_file_path}")

        verbose_proxy_logger.debug(f"Loaded config: {config}")
        # Add the new model to the config
        model_info = model_params.model_info.json()
        model_info = {k: v for k, v in model_info.items() if v is not None}
        config["model_list"].append(
            {
                "model_name": model_params.model_name,
                "litellm_params": model_params.litellm_params,
                "model_info": model_info,
            }
        )

        verbose_proxy_logger.debug(f"updated model list: {config['model_list']}")

        # Save new config
        await proxy_config.save_config(new_config=config)
        return {"message": "Model added successfully"}

    except Exception as e:
        traceback.print_exc()
        if isinstance(e, HTTPException):
            raise e
        else:
            raise HTTPException(
                status_code=500, detail=f"Internal Server Error: {str(e)}"
            )


#### [BETA] - This is a beta endpoint, format might change based on user feedback https://github.com/BerriAI/litellm/issues/933. If you need a stable endpoint use /model/info
@router.get(
    "/model/info",
    description="Provides more info about each model in /models, including config.yaml descriptions (except api key and api base)",
    tags=["model management"],
    dependencies=[Depends(user_api_key_auth)],
)
@router.get(
    "/v1/model/info",
    description="Provides more info about each model in /models, including config.yaml descriptions (except api key and api base)",
    tags=["model management"],
    dependencies=[Depends(user_api_key_auth)],
)
async def model_info_v1(request: Request):
    global llm_model_list, general_settings, user_config_file_path, proxy_config

    # Load existing config
    config = await proxy_config.get_config()

    all_models = config["model_list"]
    for model in all_models:
        # provided model_info in config.yaml
        model_info = model.get("model_info", {})

        # read litellm model_prices_and_context_window.json to get the following:
        # input_cost_per_token, output_cost_per_token, max_tokens
        litellm_model_info = get_litellm_model_info(model=model)
        for k, v in litellm_model_info.items():
            if k not in model_info:
                model_info[k] = v
        model["model_info"] = model_info
        # don't return the api key
        model["litellm_params"].pop("api_key", None)

    verbose_proxy_logger.debug(f"all_models: {all_models}")
    return {"data": all_models}


#### [BETA] - This is a beta endpoint, format might change based on user feedback. - https://github.com/BerriAI/litellm/issues/964
@router.post(
    "/model/delete",
    description="Allows deleting models in the model list in the config.yaml",
    tags=["model management"],
    dependencies=[Depends(user_api_key_auth)],
)
async def delete_model(model_info: ModelInfoDelete):
    global llm_router, llm_model_list, general_settings, user_config_file_path, proxy_config
    try:
        if not os.path.exists(user_config_file_path):
            raise HTTPException(status_code=404, detail="Config file does not exist.")

        # Load existing config
        config = await proxy_config.get_config()

        # If model_list is not in the config, nothing can be deleted
        if len(config.get("model_list", [])) == 0:
            raise HTTPException(
                status_code=400, detail="No model list available in the config."
            )

        # Check if the model with the specified model_id exists
        model_to_delete = None
        for model in config["model_list"]:
            if model.get("model_info", {}).get("id", None) == model_info.id:
                model_to_delete = model
                break

        # If the model was not found, return an error
        if model_to_delete is None:
            raise HTTPException(
                status_code=400, detail="Model with given model_id not found."
            )

        # Remove model from the list and save the updated config
        config["model_list"].remove(model_to_delete)

        # Save updated config
        config = await proxy_config.save_config(new_config=config)
        return {"message": "Model deleted successfully"}

    except HTTPException as e:
        # Re-raise the HTTP exceptions to be handled by FastAPI
        raise
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Internal Server Error: {str(e)}")


#### EXPERIMENTAL QUEUING ####
async def _litellm_chat_completions_worker(data, user_api_key_dict):
    """
    worker to make litellm completions calls
    """
    while True:
        try:
            ### CALL HOOKS ### - modify incoming data before calling the model
            data = await proxy_logging_obj.pre_call_hook(
                user_api_key_dict=user_api_key_dict, data=data, call_type="completion"
            )

            verbose_proxy_logger.debug(f"_litellm_chat_completions_worker started")
            ### ROUTE THE REQUEST ###
            router_model_names = (
                [m["model_name"] for m in llm_model_list]
                if llm_model_list is not None
                else []
            )
            if (
                llm_router is not None and data["model"] in router_model_names
            ):  # model in router model list
                response = await llm_router.acompletion(**data)
            elif (
                llm_router is not None and data["model"] in llm_router.deployment_names
            ):  # model in router deployments, calling a specific deployment on the router
                response = await llm_router.acompletion(
                    **data, specific_deployment=True
                )
            elif (
                llm_router is not None
                and llm_router.model_group_alias is not None
                and data["model"] in llm_router.model_group_alias
            ):  # model set in model_group_alias
                response = await llm_router.acompletion(**data)
            else:  # router is not set
                response = await litellm.acompletion(**data)

            verbose_proxy_logger.debug(f"final response: {response}")
            return response
        except HTTPException as e:
            verbose_proxy_logger.debug(
                f"EXCEPTION RAISED IN _litellm_chat_completions_worker - {e.status_code}; {e.detail}"
            )
            if (
                e.status_code == 429
                and "Max parallel request limit reached" in e.detail
            ):
                verbose_proxy_logger.debug(f"Max parallel request limit reached!")
                timeout = litellm._calculate_retry_after(
                    remaining_retries=3, max_retries=3, min_timeout=1
                )
                await asyncio.sleep(timeout)
            else:
                raise e


@router.post(
    "/queue/chat/completions",
    tags=["experimental"],
    dependencies=[Depends(user_api_key_auth)],
)
async def async_queue_request(
    request: Request,
    model: Optional[str] = None,
    user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
    background_tasks: BackgroundTasks = BackgroundTasks(),
):
    global general_settings, user_debug, proxy_logging_obj
    """
    v2 attempt at a background worker to handle queuing. 

    Just supports /chat/completion calls currently.

    Now using a FastAPI background task + /chat/completions compatible endpoint
    """
    try:
        data = {}
        data = await request.json()  # type: ignore

        # Include original request and headers in the data
        data["proxy_server_request"] = {
            "url": str(request.url),
            "method": request.method,
            "headers": dict(request.headers),
            "body": copy.copy(data),  # use copy instead of deepcopy
        }

        verbose_proxy_logger.debug(f"receiving data: {data}")
        data["model"] = (
            general_settings.get("completion_model", None)  # server default
            or user_model  # model name passed via cli args
            or model  # for azure deployments
            or data["model"]  # default passed in http request
        )

        # users can pass in 'user' param to /chat/completions. Don't override it
        if data.get("user", None) is None and user_api_key_dict.user_id is not None:
            # if users are using user_api_key_auth, set `user` in `data`
            data["user"] = user_api_key_dict.user_id

        if "metadata" in data:
            verbose_proxy_logger.debug(f'received metadata: {data["metadata"]}')
            data["metadata"]["user_api_key"] = user_api_key_dict.api_key
            data["metadata"]["headers"] = dict(request.headers)
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
        else:
            data["metadata"] = {"user_api_key": user_api_key_dict.api_key}
            data["metadata"]["headers"] = dict(request.headers)
            data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id

        global user_temperature, user_request_timeout, user_max_tokens, user_api_base
        # override with user settings, these are params passed via cli
        if user_temperature:
            data["temperature"] = user_temperature
        if user_request_timeout:
            data["request_timeout"] = user_request_timeout
        if user_max_tokens:
            data["max_tokens"] = user_max_tokens
        if user_api_base:
            data["api_base"] = user_api_base

        response = await asyncio.wait_for(
            _litellm_chat_completions_worker(
                data=data, user_api_key_dict=user_api_key_dict
            ),
            timeout=litellm.request_timeout,
        )

        if (
            "stream" in data and data["stream"] == True
        ):  # use generate_responses to stream responses
            return StreamingResponse(
                async_data_generator(
                    user_api_key_dict=user_api_key_dict, response=response
                ),
                media_type="text/event-stream",
            )

        return response
    except Exception as e:
        await proxy_logging_obj.post_call_failure_hook(
            user_api_key_dict=user_api_key_dict, original_exception=e
        )
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail={"error": str(e)},
        )


@router.get(
    "/ollama_logs", dependencies=[Depends(user_api_key_auth)], tags=["experimental"]
)
async def retrieve_server_log(request: Request):
    filepath = os.path.expanduser("~/.ollama/logs/server.log")
    return FileResponse(filepath)


#### BASIC ENDPOINTS ####
@router.post(
    "/config/update",
    tags=["config.yaml"],
    dependencies=[Depends(user_api_key_auth)],
)
async def update_config(config_info: ConfigYAML):
    """
    For Admin UI - allows admin to update config via UI

    Currently supports modifying General Settings + LiteLLM settings
    """
    global llm_router, llm_model_list, general_settings, proxy_config, proxy_logging_obj
    try:
        # Load existing config
        config = await proxy_config.get_config()

        backup_config = copy.deepcopy(config)
        verbose_proxy_logger.debug(f"Loaded config: {config}")

        # update the general settings
        if config_info.general_settings is not None:
            config.setdefault("general_settings", {})
            updated_general_settings = config_info.general_settings.dict(
                exclude_none=True
            )
            config["general_settings"] = {
                **updated_general_settings,
                **config["general_settings"],
            }

        if config_info.environment_variables is not None:
            config.setdefault("environment_variables", {})
            updated_environment_variables = config_info.environment_variables
            config["environment_variables"] = {
                **updated_environment_variables,
                **config["environment_variables"],
            }

        # update the litellm settings
        if config_info.litellm_settings is not None:
            config.setdefault("litellm_settings", {})
            updated_litellm_settings = config_info.litellm_settings
            config["litellm_settings"] = {
                **updated_litellm_settings,
                **config["litellm_settings"],
            }

        # Save the updated config
        await proxy_config.save_config(new_config=config)

        # Test new connections
        ## Slack
        if "slack" in config.get("general_settings", {}).get("alerting", []):
            await proxy_logging_obj.alerting_handler(
                message="This is a test", level="Low"
            )
        return {"message": "Config updated successfully"}
    except HTTPException as e:
        raise e
    except Exception as e:
        traceback.print_exc()
        raise HTTPException(status_code=500, detail=f"An error occurred - {str(e)}")


@router.get("/config/yaml", tags=["config.yaml"])
async def config_yaml_endpoint(config_info: ConfigYAML):
    """
    This is a mock endpoint, to show what you can set in config.yaml details in the Swagger UI.

    Parameters:

    The config.yaml object has the following attributes:
    - **model_list**: *Optional[List[ModelParams]]* - A list of supported models on the server, along with model-specific configurations. ModelParams includes "model_name" (name of the model), "litellm_params" (litellm-specific parameters for the model), and "model_info" (additional info about the model such as id, mode, cost per token, etc).

    - **litellm_settings**: *Optional[dict]*: Settings for the litellm module. You can specify multiple properties like "drop_params", "set_verbose", "api_base", "cache".

    - **general_settings**: *Optional[ConfigGeneralSettings]*: General settings for the server like "completion_model" (default model for chat completion calls), "use_azure_key_vault" (option to load keys from azure key vault), "master_key" (key required for all calls to proxy), and others.

    Please, refer to each class's description for a better understanding of the specific attributes within them.

    Note: This is a mock endpoint primarily meant for demonstration purposes, and does not actually provide or change any configurations.
    """
    return {"hello": "world"}


@router.get("/test", tags=["health"])
async def test_endpoint(request: Request):
    """
    A test endpoint that pings the proxy server to check if it's healthy.

    Parameters:
        request (Request): The incoming request.

    Returns:
        dict: A dictionary containing the route of the request URL.
    """
    # ping the proxy server to check if its healthy
    return {"route": request.url.path}


@router.get("/health", tags=["health"], dependencies=[Depends(user_api_key_auth)])
async def health_endpoint(
    request: Request,
    model: Optional[str] = fastapi.Query(
        None, description="Specify the model name (optional)"
    ),
):
    """
    Check the health of all the endpoints in config.yaml

    To run health checks in the background, add this to config.yaml:
    ```
    general_settings:
        # ... other settings
        background_health_checks: True
    ```
    else, the health checks will be run on models when /health is called.
    """
    global health_check_results, use_background_health_checks, user_model

    if llm_model_list is None:
        # if no router set, check if user set a model using litellm --model ollama/llama2
        if user_model is not None:
            healthy_endpoints, unhealthy_endpoints = await perform_health_check(
                model_list=[], cli_model=user_model
            )
            return {
                "healthy_endpoints": healthy_endpoints,
                "unhealthy_endpoints": unhealthy_endpoints,
                "healthy_count": len(healthy_endpoints),
                "unhealthy_count": len(unhealthy_endpoints),
            }
        raise HTTPException(
            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
            detail={"error": "Model list not initialized"},
        )

    if use_background_health_checks:
        return health_check_results
    else:
        healthy_endpoints, unhealthy_endpoints = await perform_health_check(
            llm_model_list, model
        )

        return {
            "healthy_endpoints": healthy_endpoints,
            "unhealthy_endpoints": unhealthy_endpoints,
            "healthy_count": len(healthy_endpoints),
            "unhealthy_count": len(unhealthy_endpoints),
        }


@router.get("/health/readiness", tags=["health"])
async def health_readiness():
    """
    Unprotected endpoint for checking if worker can receive requests
    """
    global prisma_client
    if prisma_client is not None:  # if db passed in, check if it's connected
        if prisma_client.db.is_connected() == True:
            return {"status": "healthy", "db": "connected"}
    else:
        return {"status": "healthy", "db": "Not connected"}
    raise HTTPException(status_code=503, detail="Service Unhealthy")


@router.get("/health/liveliness", tags=["health"])
async def health_liveliness():
    """
    Unprotected endpoint for checking if worker is alive
    """
    return "I'm alive!"


@router.get("/")
async def home(request: Request):
    return "LiteLLM: RUNNING"


@router.get("/routes")
async def get_routes():
    """
    Get a list of available routes in the FastAPI application.
    """
    routes = []
    for route in app.routes:
        route_info = {
            "path": route.path,
            "methods": route.methods,
            "name": route.name,
            "endpoint": route.endpoint.__name__ if route.endpoint else None,
        }
        routes.append(route_info)

    return {"routes": routes}


@router.on_event("shutdown")
async def shutdown_event():
    global prisma_client, master_key, user_custom_auth
    if prisma_client:
        verbose_proxy_logger.debug("Disconnecting from Prisma")
        await prisma_client.disconnect()

    ## RESET CUSTOM VARIABLES ##
    cleanup_router_config_variables()


def cleanup_router_config_variables():
    global master_key, user_config_file_path, otel_logging, user_custom_auth, user_custom_auth_path, use_background_health_checks, health_check_interval

    # Set all variables to None
    master_key = None
    user_config_file_path = None
    otel_logging = None
    user_custom_auth = None
    user_custom_auth_path = None
    use_background_health_checks = None
    health_check_interval = None


app.include_router(router)