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1# Shared
2
3## Domain Types
4
5### All Models
6
7- `Union[str, ChatModel, Literal["o1-pro", "o1-pro-2025-03-19", "o3-pro", 11 more]]`
8
9 - `str`
10
11 - `Literal["gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", 78 more]`
12
13 - `"gpt-5.6-sol"`
14
15 - `"gpt-5.6-terra"`
16
17 - `"gpt-5.6-luna"`
18
19 - `"gpt-5.4"`
20
21 - `"gpt-5.4-mini"`
22
23 - `"gpt-5.4-nano"`
24
25 - `"gpt-5.4-mini-2026-03-17"`
26
27 - `"gpt-5.4-nano-2026-03-17"`
28
29 - `"gpt-5.3-chat-latest"`
30
31 - `"gpt-5.2"`
32
33 - `"gpt-5.2-2025-12-11"`
34
35 - `"gpt-5.2-chat-latest"`
36
37 - `"gpt-5.2-pro"`
38
39 - `"gpt-5.2-pro-2025-12-11"`
40
41 - `"gpt-5.1"`
42
43 - `"gpt-5.1-2025-11-13"`
44
45 - `"gpt-5.1-codex"`
46
47 - `"gpt-5.1-mini"`
48
49 - `"gpt-5.1-chat-latest"`
50
51 - `"gpt-5"`
52
53 - `"gpt-5-mini"`
54
55 - `"gpt-5-nano"`
56
57 - `"gpt-5-2025-08-07"`
58
59 - `"gpt-5-mini-2025-08-07"`
60
61 - `"gpt-5-nano-2025-08-07"`
62
63 - `"gpt-5-chat-latest"`
64
65 - `"gpt-4.1"`
66
67 - `"gpt-4.1-mini"`
68
69 - `"gpt-4.1-nano"`
70
71 - `"gpt-4.1-2025-04-14"`
72
73 - `"gpt-4.1-mini-2025-04-14"`
74
75 - `"gpt-4.1-nano-2025-04-14"`
76
77 - `"o4-mini"`
78
79 - `"o4-mini-2025-04-16"`
80
81 - `"o3"`
82
83 - `"o3-2025-04-16"`
84
85 - `"o3-mini"`
86
87 - `"o3-mini-2025-01-31"`
88
89 - `"o1"`
90
91 - `"o1-2024-12-17"`
92
93 - `"o1-preview"`
94
95 - `"o1-preview-2024-09-12"`
96
97 - `"o1-mini"`
98
99 - `"o1-mini-2024-09-12"`
100
101 - `"gpt-4o"`
102
103 - `"gpt-4o-2024-11-20"`
104
105 - `"gpt-4o-2024-08-06"`
106
107 - `"gpt-4o-2024-05-13"`
108
109 - `"gpt-4o-audio-preview"`
110
111 - `"gpt-4o-audio-preview-2024-10-01"`
112
113 - `"gpt-4o-audio-preview-2024-12-17"`
114
115 - `"gpt-4o-audio-preview-2025-06-03"`
116
117 - `"gpt-4o-mini-audio-preview"`
118
119 - `"gpt-4o-mini-audio-preview-2024-12-17"`
120
121 - `"gpt-4o-search-preview"`
122
123 - `"gpt-4o-mini-search-preview"`
124
125 - `"gpt-4o-search-preview-2025-03-11"`
126
127 - `"gpt-4o-mini-search-preview-2025-03-11"`
128
129 - `"chatgpt-4o-latest"`
130
131 - `"codex-mini-latest"`
132
133 - `"gpt-4o-mini"`
134
135 - `"gpt-4o-mini-2024-07-18"`
136
137 - `"gpt-4-turbo"`
138
139 - `"gpt-4-turbo-2024-04-09"`
140
141 - `"gpt-4-0125-preview"`
142
143 - `"gpt-4-turbo-preview"`
144
145 - `"gpt-4-1106-preview"`
146
147 - `"gpt-4-vision-preview"`
148
149 - `"gpt-4"`
150
151 - `"gpt-4-0314"`
152
153 - `"gpt-4-0613"`
154
155 - `"gpt-4-32k"`
156
157 - `"gpt-4-32k-0314"`
158
159 - `"gpt-4-32k-0613"`
160
161 - `"gpt-3.5-turbo"`
162
163 - `"gpt-3.5-turbo-16k"`
164
165 - `"gpt-3.5-turbo-0301"`
166
167 - `"gpt-3.5-turbo-0613"`
168
169 - `"gpt-3.5-turbo-1106"`
170
171 - `"gpt-3.5-turbo-0125"`
172
173 - `"gpt-3.5-turbo-16k-0613"`
174
175 - `Literal["o1-pro", "o1-pro-2025-03-19", "o3-pro", 11 more]`
176
177 - `"o1-pro"`
178
179 - `"o1-pro-2025-03-19"`
180
181 - `"o3-pro"`
182
183 - `"o3-pro-2025-06-10"`
184
185 - `"o3-deep-research"`
186
187 - `"o3-deep-research-2025-06-26"`
188
189 - `"o4-mini-deep-research"`
190
191 - `"o4-mini-deep-research-2025-06-26"`
192
193 - `"computer-use-preview"`
194
195 - `"computer-use-preview-2025-03-11"`
196
197 - `"gpt-5-codex"`
198
199 - `"gpt-5-pro"`
200
201 - `"gpt-5-pro-2025-10-06"`
202
203 - `"gpt-5.1-codex-max"`
204
205### Chat Model
206
207- `Literal["gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", 78 more]`
208
209 - `"gpt-5.6-sol"`
210
211 - `"gpt-5.6-terra"`
212
213 - `"gpt-5.6-luna"`
214
215 - `"gpt-5.4"`
216
217 - `"gpt-5.4-mini"`
218
219 - `"gpt-5.4-nano"`
220
221 - `"gpt-5.4-mini-2026-03-17"`
222
223 - `"gpt-5.4-nano-2026-03-17"`
224
225 - `"gpt-5.3-chat-latest"`
226
227 - `"gpt-5.2"`
228
229 - `"gpt-5.2-2025-12-11"`
230
231 - `"gpt-5.2-chat-latest"`
232
233 - `"gpt-5.2-pro"`
234
235 - `"gpt-5.2-pro-2025-12-11"`
236
237 - `"gpt-5.1"`
238
239 - `"gpt-5.1-2025-11-13"`
240
241 - `"gpt-5.1-codex"`
242
243 - `"gpt-5.1-mini"`
244
245 - `"gpt-5.1-chat-latest"`
246
247 - `"gpt-5"`
248
249 - `"gpt-5-mini"`
250
251 - `"gpt-5-nano"`
252
253 - `"gpt-5-2025-08-07"`
254
255 - `"gpt-5-mini-2025-08-07"`
256
257 - `"gpt-5-nano-2025-08-07"`
258
259 - `"gpt-5-chat-latest"`
260
261 - `"gpt-4.1"`
262
263 - `"gpt-4.1-mini"`
264
265 - `"gpt-4.1-nano"`
266
267 - `"gpt-4.1-2025-04-14"`
268
269 - `"gpt-4.1-mini-2025-04-14"`
270
271 - `"gpt-4.1-nano-2025-04-14"`
272
273 - `"o4-mini"`
274
275 - `"o4-mini-2025-04-16"`
276
277 - `"o3"`
278
279 - `"o3-2025-04-16"`
280
281 - `"o3-mini"`
282
283 - `"o3-mini-2025-01-31"`
284
285 - `"o1"`
286
287 - `"o1-2024-12-17"`
288
289 - `"o1-preview"`
290
291 - `"o1-preview-2024-09-12"`
292
293 - `"o1-mini"`
294
295 - `"o1-mini-2024-09-12"`
296
297 - `"gpt-4o"`
298
299 - `"gpt-4o-2024-11-20"`
300
301 - `"gpt-4o-2024-08-06"`
302
303 - `"gpt-4o-2024-05-13"`
304
305 - `"gpt-4o-audio-preview"`
306
307 - `"gpt-4o-audio-preview-2024-10-01"`
308
309 - `"gpt-4o-audio-preview-2024-12-17"`
310
311 - `"gpt-4o-audio-preview-2025-06-03"`
312
313 - `"gpt-4o-mini-audio-preview"`
314
315 - `"gpt-4o-mini-audio-preview-2024-12-17"`
316
317 - `"gpt-4o-search-preview"`
318
319 - `"gpt-4o-mini-search-preview"`
320
321 - `"gpt-4o-search-preview-2025-03-11"`
322
323 - `"gpt-4o-mini-search-preview-2025-03-11"`
324
325 - `"chatgpt-4o-latest"`
326
327 - `"codex-mini-latest"`
328
329 - `"gpt-4o-mini"`
330
331 - `"gpt-4o-mini-2024-07-18"`
332
333 - `"gpt-4-turbo"`
334
335 - `"gpt-4-turbo-2024-04-09"`
336
337 - `"gpt-4-0125-preview"`
338
339 - `"gpt-4-turbo-preview"`
340
341 - `"gpt-4-1106-preview"`
342
343 - `"gpt-4-vision-preview"`
344
345 - `"gpt-4"`
346
347 - `"gpt-4-0314"`
348
349 - `"gpt-4-0613"`
350
351 - `"gpt-4-32k"`
352
353 - `"gpt-4-32k-0314"`
354
355 - `"gpt-4-32k-0613"`
356
357 - `"gpt-3.5-turbo"`
358
359 - `"gpt-3.5-turbo-16k"`
360
361 - `"gpt-3.5-turbo-0301"`
362
363 - `"gpt-3.5-turbo-0613"`
364
365 - `"gpt-3.5-turbo-1106"`
366
367 - `"gpt-3.5-turbo-0125"`
368
369 - `"gpt-3.5-turbo-16k-0613"`
370
371### Comparison Filter
372
373- `class ComparisonFilter: …`
374
375 A filter used to compare a specified attribute key to a given value using a defined comparison operation.
376
377 - `key: str`
378
379 The key to compare against the value.
380
381 - `type: Literal["eq", "ne", "gt", 5 more]`
382
383 Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`.
384
385 - `eq`: equals
386 - `ne`: not equal
387 - `gt`: greater than
388 - `gte`: greater than or equal
389 - `lt`: less than
390 - `lte`: less than or equal
391 - `in`: in
392 - `nin`: not in
393
394 - `"eq"`
395
396 - `"ne"`
397
398 - `"gt"`
399
400 - `"gte"`
401
402 - `"lt"`
403
404 - `"lte"`
405
406 - `"in"`
407
408 - `"nin"`
409
410 - `value: Union[str, float, bool, List[Union[str, float]]]`
411
412 The value to compare against the attribute key; supports string, number, or boolean types.
413
414 - `str`
415
416 - `float`
417
418 - `bool`
419
420 - `List[Union[str, float]]`
421
422 - `str`
423
424 - `float`
425
426### Compound Filter
427
428- `class CompoundFilter: …`
429
430 Combine multiple filters using `and` or `or`.
431
432 - `filters: List[Filter]`
433
434 Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`.
435
436 - `class ComparisonFilter: …`
437
438 A filter used to compare a specified attribute key to a given value using a defined comparison operation.
439
440 - `key: str`
441
442 The key to compare against the value.
443
444 - `type: Literal["eq", "ne", "gt", 5 more]`
445
446 Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `in`, `nin`.
447
448 - `eq`: equals
449 - `ne`: not equal
450 - `gt`: greater than
451 - `gte`: greater than or equal
452 - `lt`: less than
453 - `lte`: less than or equal
454 - `in`: in
455 - `nin`: not in
456
457 - `"eq"`
458
459 - `"ne"`
460
461 - `"gt"`
462
463 - `"gte"`
464
465 - `"lt"`
466
467 - `"lte"`
468
469 - `"in"`
470
471 - `"nin"`
472
473 - `value: Union[str, float, bool, List[Union[str, float]]]`
474
475 The value to compare against the attribute key; supports string, number, or boolean types.
476
477 - `str`
478
479 - `float`
480
481 - `bool`
482
483 - `List[Union[str, float]]`
484
485 - `str`
486
487 - `float`
488
489 - `object`
490
491 - `type: Literal["and", "or"]`
492
493 Type of operation: `and` or `or`.
494
495 - `"and"`
496
497 - `"or"`
498
499### Custom Tool Input Format
500
501- `CustomToolInputFormat`
502
503 The input format for the custom tool. Default is unconstrained text.
504
505 - `class Text: …`
506
507 Unconstrained free-form text.
508
509 - `type: Literal["text"]`
510
511 Unconstrained text format. Always `text`.
512
513 - `"text"`
514
515 - `class Grammar: …`
516
517 A grammar defined by the user.
518
519 - `definition: str`
520
521 The grammar definition.
522
523 - `syntax: Literal["lark", "regex"]`
524
525 The syntax of the grammar definition. One of `lark` or `regex`.
526
527 - `"lark"`
528
529 - `"regex"`
530
531 - `type: Literal["grammar"]`
532
533 Grammar format. Always `grammar`.
534
535 - `"grammar"`
536
537### Error Object
538
539- `class ErrorObject: …`
540
541 - `code: Optional[str]`
542
543 - `message: str`
544
545 - `param: Optional[str]`
546
547 - `type: str`
548
549### Function Definition
550
551- `class FunctionDefinition: …`
552
553 - `name: str`
554
555 The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.
556
557 - `description: Optional[str]`
558
559 A description of what the function does, used by the model to choose when and how to call the function.
560
561 - `parameters: Optional[FunctionParameters]`
562
563 The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/docs/guides/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.
564
565 Omitting `parameters` defines a function with an empty parameter list.
566
567 - `strict: Optional[bool]`
568
569 Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the `parameters` field. Only a subset of JSON Schema is supported when `strict` is `true`. Learn more about Structured Outputs in the [function calling guide](https://platform.openai.com/docs/guides/function-calling).
570
571### Function Parameters
572
573- `Dict[str, object]`
574
575 The parameters the functions accepts, described as a JSON Schema object. See the [guide](https://platform.openai.com/docs/guides/function-calling) for examples, and the [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for documentation about the format.
576
577 Omitting `parameters` defines a function with an empty parameter list.
578
579### Metadata
580
581- `Optional[Dict[str, str]]`
582
583 Set of 16 key-value pairs that can be attached to an object. This can be
584 useful for storing additional information about the object in a structured
585 format, and querying for objects via API or the dashboard.
586
587 Keys are strings with a maximum length of 64 characters. Values are strings
588 with a maximum length of 512 characters.
589
590### OAuth Error Code
591
592- `Union[Literal["invalid_grant", "invalid_subject_token"], str]`
593
594 - `Literal["invalid_grant", "invalid_subject_token"]`
595
596 - `"invalid_grant"`
597
598 - `"invalid_subject_token"`
599
600 - `str`
601
602### Reasoning
603
604- `class Reasoning: …`
605
606 **gpt-5 and o-series models only**
607
608 Configuration options for
609 [reasoning models](https://platform.openai.com/docs/guides/reasoning).
610
611 - `context: Optional[Literal["auto", "current_turn", "all_turns"]]`
612
613 Controls which reasoning items are rendered back to the model on later turns.
614 If omitted or set to `auto`, the model determines the context mode. The
615 `gpt-5.6` model family defaults to `all_turns`; earlier models default to
616 `current_turn`.
617
618 When returned on a response, this is the effective reasoning context mode
619 used for the response.
620
621 - `"auto"`
622
623 - `"current_turn"`
624
625 - `"all_turns"`
626
627 - `effort: Optional[ReasoningEffort]`
628
629 Constrains effort on reasoning for reasoning models. Currently supported
630 values are `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, and `max`.
631 Reducing reasoning effort can result in faster responses and fewer tokens
632 used on reasoning in a response. Not all reasoning models support every
633 value. See the
634 [reasoning guide](https://platform.openai.com/docs/guides/reasoning)
635 for model-specific support.
636
637 - `"none"`
638
639 - `"minimal"`
640
641 - `"low"`
642
643 - `"medium"`
644
645 - `"high"`
646
647 - `"xhigh"`
648
649 - `"max"`
650
651 - `generate_summary: Optional[Literal["auto", "concise", "detailed"]]`
652
653 **Deprecated:** use `summary` instead.
654
655 A summary of the reasoning performed by the model. This can be
656 useful for debugging and understanding the model's reasoning process.
657 One of `auto`, `concise`, or `detailed`.
658
659 - `"auto"`
660
661 - `"concise"`
662
663 - `"detailed"`
664
665 - `mode: Optional[Union[str, Literal["standard", "pro"], null]]`
666
667 Controls the reasoning execution mode for the request.
668
669 When returned on a response, this is the effective execution mode.
670
671 - `str`
672
673 - `Literal["standard", "pro"]`
674
675 Controls the reasoning execution mode for the request.
676
677 When returned on a response, this is the effective execution mode.
678
679 - `"standard"`
680
681 - `"pro"`
682
683 - `summary: Optional[Literal["auto", "concise", "detailed"]]`
684
685 A summary of the reasoning performed by the model. This can be
686 useful for debugging and understanding the model's reasoning process.
687 One of `auto`, `concise`, or `detailed`.
688
689 `concise` is supported for `computer-use-preview` models and all reasoning models after `gpt-5`.
690
691 - `"auto"`
692
693 - `"concise"`
694
695 - `"detailed"`
696
697### Reasoning Effort
698
699- `Optional[Literal["none", "minimal", "low", 4 more]]`
700
701 Constrains effort on reasoning for reasoning models. Currently supported
702 values are `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, and `max`.
703 Reducing reasoning effort can result in faster responses and fewer tokens
704 used on reasoning in a response. Not all reasoning models support every
705 value. See the
706 [reasoning guide](https://platform.openai.com/docs/guides/reasoning)
707 for model-specific support.
708
709 - `"none"`
710
711 - `"minimal"`
712
713 - `"low"`
714
715 - `"medium"`
716
717 - `"high"`
718
719 - `"xhigh"`
720
721 - `"max"`
722
723### Response Format JSON Object
724
725- `class ResponseFormatJSONObject: …`
726
727 JSON object response format. An older method of generating JSON responses.
728 Using `json_schema` is recommended for models that support it. Note that the
729 model will not generate JSON without a system or user message instructing it
730 to do so.
731
732 - `type: Literal["json_object"]`
733
734 The type of response format being defined. Always `json_object`.
735
736 - `"json_object"`
737
738### Response Format JSON Schema
739
740- `class ResponseFormatJSONSchema: …`
741
742 JSON Schema response format. Used to generate structured JSON responses.
743 Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
744
745 - `json_schema: JSONSchema`
746
747 Structured Outputs configuration options, including a JSON Schema.
748
749 - `name: str`
750
751 The name of the response format. Must be a-z, A-Z, 0-9, or contain
752 underscores and dashes, with a maximum length of 64.
753
754 - `description: Optional[str]`
755
756 A description of what the response format is for, used by the model to
757 determine how to respond in the format.
758
759 - `schema: Optional[Dict[str, object]]`
760
761 The schema for the response format, described as a JSON Schema object.
762 Learn how to build JSON schemas [here](https://json-schema.org/).
763
764 - `strict: Optional[bool]`
765
766 Whether to enable strict schema adherence when generating the output.
767 If set to true, the model will always follow the exact schema defined
768 in the `schema` field. Only a subset of JSON Schema is supported when
769 `strict` is `true`. To learn more, read the [Structured Outputs
770 guide](https://platform.openai.com/docs/guides/structured-outputs).
771
772 - `type: Literal["json_schema"]`
773
774 The type of response format being defined. Always `json_schema`.
775
776 - `"json_schema"`
777
778### Response Format Text
779
780- `class ResponseFormatText: …`
781
782 Default response format. Used to generate text responses.
783
784 - `type: Literal["text"]`
785
786 The type of response format being defined. Always `text`.
787
788 - `"text"`
789
790### Response Format Text Grammar
791
792- `class ResponseFormatTextGrammar: …`
793
794 A custom grammar for the model to follow when generating text.
795 Learn more in the [custom grammars guide](https://platform.openai.com/docs/guides/custom-grammars).
796
797 - `grammar: str`
798
799 The custom grammar for the model to follow.
800
801 - `type: Literal["grammar"]`
802
803 The type of response format being defined. Always `grammar`.
804
805 - `"grammar"`
806
807### Response Format Text Python
808
809- `class ResponseFormatTextPython: …`
810
811 Configure the model to generate valid Python code. See the
812 [custom grammars guide](https://platform.openai.com/docs/guides/custom-grammars) for more details.
813
814 - `type: Literal["python"]`
815
816 The type of response format being defined. Always `python`.
817
818 - `"python"`
819
820### Responses Model
821
822- `Union[str, ChatModel, Literal["o1-pro", "o1-pro-2025-03-19", "o3-pro", 11 more]]`
823
824 - `str`
825
826 - `Literal["gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", 78 more]`
827
828 - `"gpt-5.6-sol"`
829
830 - `"gpt-5.6-terra"`
831
832 - `"gpt-5.6-luna"`
833
834 - `"gpt-5.4"`
835
836 - `"gpt-5.4-mini"`
837
838 - `"gpt-5.4-nano"`
839
840 - `"gpt-5.4-mini-2026-03-17"`
841
842 - `"gpt-5.4-nano-2026-03-17"`
843
844 - `"gpt-5.3-chat-latest"`
845
846 - `"gpt-5.2"`
847
848 - `"gpt-5.2-2025-12-11"`
849
850 - `"gpt-5.2-chat-latest"`
851
852 - `"gpt-5.2-pro"`
853
854 - `"gpt-5.2-pro-2025-12-11"`
855
856 - `"gpt-5.1"`
857
858 - `"gpt-5.1-2025-11-13"`
859
860 - `"gpt-5.1-codex"`
861
862 - `"gpt-5.1-mini"`
863
864 - `"gpt-5.1-chat-latest"`
865
866 - `"gpt-5"`
867
868 - `"gpt-5-mini"`
869
870 - `"gpt-5-nano"`
871
872 - `"gpt-5-2025-08-07"`
873
874 - `"gpt-5-mini-2025-08-07"`
875
876 - `"gpt-5-nano-2025-08-07"`
877
878 - `"gpt-5-chat-latest"`
879
880 - `"gpt-4.1"`
881
882 - `"gpt-4.1-mini"`
883
884 - `"gpt-4.1-nano"`
885
886 - `"gpt-4.1-2025-04-14"`
887
888 - `"gpt-4.1-mini-2025-04-14"`
889
890 - `"gpt-4.1-nano-2025-04-14"`
891
892 - `"o4-mini"`
893
894 - `"o4-mini-2025-04-16"`
895
896 - `"o3"`
897
898 - `"o3-2025-04-16"`
899
900 - `"o3-mini"`
901
902 - `"o3-mini-2025-01-31"`
903
904 - `"o1"`
905
906 - `"o1-2024-12-17"`
907
908 - `"o1-preview"`
909
910 - `"o1-preview-2024-09-12"`
911
912 - `"o1-mini"`
913
914 - `"o1-mini-2024-09-12"`
915
916 - `"gpt-4o"`
917
918 - `"gpt-4o-2024-11-20"`
919
920 - `"gpt-4o-2024-08-06"`
921
922 - `"gpt-4o-2024-05-13"`
923
924 - `"gpt-4o-audio-preview"`
925
926 - `"gpt-4o-audio-preview-2024-10-01"`
927
928 - `"gpt-4o-audio-preview-2024-12-17"`
929
930 - `"gpt-4o-audio-preview-2025-06-03"`
931
932 - `"gpt-4o-mini-audio-preview"`
933
934 - `"gpt-4o-mini-audio-preview-2024-12-17"`
935
936 - `"gpt-4o-search-preview"`
937
938 - `"gpt-4o-mini-search-preview"`
939
940 - `"gpt-4o-search-preview-2025-03-11"`
941
942 - `"gpt-4o-mini-search-preview-2025-03-11"`
943
944 - `"chatgpt-4o-latest"`
945
946 - `"codex-mini-latest"`
947
948 - `"gpt-4o-mini"`
949
950 - `"gpt-4o-mini-2024-07-18"`
951
952 - `"gpt-4-turbo"`
953
954 - `"gpt-4-turbo-2024-04-09"`
955
956 - `"gpt-4-0125-preview"`
957
958 - `"gpt-4-turbo-preview"`
959
960 - `"gpt-4-1106-preview"`
961
962 - `"gpt-4-vision-preview"`
963
964 - `"gpt-4"`
965
966 - `"gpt-4-0314"`
967
968 - `"gpt-4-0613"`
969
970 - `"gpt-4-32k"`
971
972 - `"gpt-4-32k-0314"`
973
974 - `"gpt-4-32k-0613"`
975
976 - `"gpt-3.5-turbo"`
977
978 - `"gpt-3.5-turbo-16k"`
979
980 - `"gpt-3.5-turbo-0301"`
981
982 - `"gpt-3.5-turbo-0613"`
983
984 - `"gpt-3.5-turbo-1106"`
985
986 - `"gpt-3.5-turbo-0125"`
987
988 - `"gpt-3.5-turbo-16k-0613"`
989
990 - `Literal["o1-pro", "o1-pro-2025-03-19", "o3-pro", 11 more]`
991
992 - `"o1-pro"`
993
994 - `"o1-pro-2025-03-19"`
995
996 - `"o3-pro"`
997
998 - `"o3-pro-2025-06-10"`
999
1000 - `"o3-deep-research"`
1001
1002 - `"o3-deep-research-2025-06-26"`
1003
1004 - `"o4-mini-deep-research"`
1005
1006 - `"o4-mini-deep-research-2025-06-26"`
1007
1008 - `"computer-use-preview"`
1009
1010 - `"computer-use-preview-2025-03-11"`
1011
1012 - `"gpt-5-codex"`
1013
1014 - `"gpt-5-pro"`
1015
1016 - `"gpt-5-pro-2025-10-06"`
1017
1018 - `"gpt-5.1-codex-max"`