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