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1# Shared
2
3## Domain Types
4
5### All Models
6
7- `all_models: string or ChatModel or "o1-pro" or "o1-pro-2025-03-19" or "o3-pro" or 11 more`
8
9 - `union_member_0: string`
10
11 - `chat_model: "gpt-5.4" or "gpt-5.4-mini" or "gpt-5.4-nano" or 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 - `ResponsesOnlyModel: "o1-pro" or "o1-pro-2025-03-19" or "o3-pro" or 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- `chat_model: "gpt-5.4" or "gpt-5.4-mini" or "gpt-5.4-nano" or 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- `comparison_filter: object { key, type, value }`
362
363 A filter used to compare a specified attribute key to a given value using a defined comparison operation.
364
365 - `key: string`
366
367 The key to compare against the value.
368
369 - `type: "eq" or "ne" or "gt" or 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: string or number or boolean or array of string or number`
399
400 The value to compare against the attribute key; supports string, number, or boolean types.
401
402 - `union_member_0: string`
403
404 - `union_member_1: number`
405
406 - `union_member_2: boolean`
407
408 - `union_member_3: array of string or number`
409
410 - `union_member_0: string`
411
412 - `union_member_1: number`
413
414### Compound Filter
415
416- `compound_filter: object { filters, type }`
417
418 Combine multiple filters using `and` or `or`.
419
420 - `filters: array of ComparisonFilter or unknown`
421
422 Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`.
423
424 - `comparison_filter: object { key, type, value }`
425
426 A filter used to compare a specified attribute key to a given value using a defined comparison operation.
427
428 - `key: string`
429
430 The key to compare against the value.
431
432 - `type: "eq" or "ne" or "gt" or 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: string or number or boolean or array of string or number`
462
463 The value to compare against the attribute key; supports string, number, or boolean types.
464
465 - `union_member_0: string`
466
467 - `union_member_1: number`
468
469 - `union_member_2: boolean`
470
471 - `union_member_3: array of string or number`
472
473 - `union_member_0: string`
474
475 - `union_member_1: number`
476
477 - `union_member_1: unknown`
478
479 - `type: "and" or "or"`
480
481 Type of operation: `and` or `or`.
482
483 - `"and"`
484
485 - `"or"`
486
487### Custom Tool Input Format
488
489- `custom_tool_input_format: object { type } or object { definition, syntax, type }`
490
491 The input format for the custom tool. Default is unconstrained text.
492
493 - `text: object { type }`
494
495 Unconstrained free-form text.
496
497 - `grammar: object { definition, syntax, type }`
498
499 A grammar defined by the user.
500
501 - `definition: string`
502
503 The grammar definition.
504
505 - `syntax: "lark" or "regex"`
506
507 The syntax of the grammar definition. One of `lark` or `regex`.
508
509 - `"lark"`
510
511 - `"regex"`
512
513 - `type: "grammar"`
514
515 Grammar format. Always `grammar`.
516
517### Error Object
518
519- `error_object: object { code, message, param, type }`
520
521 - `code: string`
522
523 - `message: string`
524
525 - `param: string`
526
527 - `type: string`
528
529### Function Definition
530
531- `function_definition: object { name, description, parameters, strict }`
532
533 - `name: string`
534
535 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.
536
537 - `description: optional string`
538
539 A description of what the function does, used by the model to choose when and how to call the function.
540
541 - `parameters: optional map[unknown]`
542
543 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.
544
545 Omitting `parameters` defines a function with an empty parameter list.
546
547 - `strict: optional boolean`
548
549 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).
550
551### Function Parameters
552
553- `function_parameters: map[unknown]`
554
555 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.
556
557 Omitting `parameters` defines a function with an empty parameter list.
558
559### Metadata
560
561- `metadata: map[string]`
562
563 Set of 16 key-value pairs that can be attached to an object. This can be
564 useful for storing additional information about the object in a structured
565 format, and querying for objects via API or the dashboard.
566
567 Keys are strings with a maximum length of 64 characters. Values are strings
568 with a maximum length of 512 characters.
569
570### Reasoning
571
572- `reasoning: object { effort, generate_summary, summary }`
573
574 **gpt-5 and o-series models only**
575
576 Configuration options for
577 [reasoning models](https://platform.openai.com/docs/guides/reasoning).
578
579 - `effort: optional "none" or "minimal" or "low" or 3 more`
580
581 Constrains effort on reasoning for
582 [reasoning models](https://platform.openai.com/docs/guides/reasoning).
583 Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing
584 reasoning effort can result in faster responses and fewer tokens used
585 on reasoning in a response.
586
587 - `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.
588 - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`.
589 - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
590 - `xhigh` is supported for all models after `gpt-5.1-codex-max`.
591
592 - `"none"`
593
594 - `"minimal"`
595
596 - `"low"`
597
598 - `"medium"`
599
600 - `"high"`
601
602 - `"xhigh"`
603
604 - `generate_summary: optional "auto" or "concise" or "detailed"`
605
606 **Deprecated:** use `summary` instead.
607
608 A summary of the reasoning performed by the model. This can be
609 useful for debugging and understanding the model's reasoning process.
610 One of `auto`, `concise`, or `detailed`.
611
612 - `"auto"`
613
614 - `"concise"`
615
616 - `"detailed"`
617
618 - `summary: optional "auto" or "concise" or "detailed"`
619
620 A summary of the reasoning performed by the model. This can be
621 useful for debugging and understanding the model's reasoning process.
622 One of `auto`, `concise`, or `detailed`.
623
624 `concise` is supported for `computer-use-preview` models and all reasoning models after `gpt-5`.
625
626 - `"auto"`
627
628 - `"concise"`
629
630 - `"detailed"`
631
632### Reasoning Effort
633
634- `reasoning_effort: "none" or "minimal" or "low" or 3 more`
635
636 Constrains effort on reasoning for
637 [reasoning models](https://platform.openai.com/docs/guides/reasoning).
638 Currently supported values are `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Reducing
639 reasoning effort can result in faster responses and fewer tokens used
640 on reasoning in a response.
641
642 - `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.
643 - All models before `gpt-5.1` default to `medium` reasoning effort, and do not support `none`.
644 - The `gpt-5-pro` model defaults to (and only supports) `high` reasoning effort.
645 - `xhigh` is supported for all models after `gpt-5.1-codex-max`.
646
647 - `"none"`
648
649 - `"minimal"`
650
651 - `"low"`
652
653 - `"medium"`
654
655 - `"high"`
656
657 - `"xhigh"`
658
659### Response Format JSON Object
660
661- `response_format_json_object: object { type }`
662
663 JSON object response format. An older method of generating JSON responses.
664 Using `json_schema` is recommended for models that support it. Note that the
665 model will not generate JSON without a system or user message instructing it
666 to do so.
667
668 - `type: "json_object"`
669
670 The type of response format being defined. Always `json_object`.
671
672### Response Format JSON Schema
673
674- `response_format_json_schema: object { json_schema, type }`
675
676 JSON Schema response format. Used to generate structured JSON responses.
677 Learn more about [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs).
678
679 - `json_schema: object { name, description, schema, strict }`
680
681 Structured Outputs configuration options, including a JSON Schema.
682
683 - `name: string`
684
685 The name of the response format. Must be a-z, A-Z, 0-9, or contain
686 underscores and dashes, with a maximum length of 64.
687
688 - `description: optional string`
689
690 A description of what the response format is for, used by the model to
691 determine how to respond in the format.
692
693 - `schema: optional map[unknown]`
694
695 The schema for the response format, described as a JSON Schema object.
696 Learn how to build JSON schemas [here](https://json-schema.org/).
697
698 - `strict: optional boolean`
699
700 Whether to enable strict schema adherence when generating the output.
701 If set to true, the model will always follow the exact schema defined
702 in the `schema` field. Only a subset of JSON Schema is supported when
703 `strict` is `true`. To learn more, read the [Structured Outputs
704 guide](https://platform.openai.com/docs/guides/structured-outputs).
705
706 - `type: "json_schema"`
707
708 The type of response format being defined. Always `json_schema`.
709
710### Response Format Text
711
712- `response_format_text: object { type }`
713
714 Default response format. Used to generate text responses.
715
716 - `type: "text"`
717
718 The type of response format being defined. Always `text`.
719
720### Response Format Text Grammar
721
722- `response_format_text_grammar: object { grammar, type }`
723
724 A custom grammar for the model to follow when generating text.
725 Learn more in the [custom grammars guide](https://platform.openai.com/docs/guides/custom-grammars).
726
727 - `grammar: string`
728
729 The custom grammar for the model to follow.
730
731 - `type: "grammar"`
732
733 The type of response format being defined. Always `grammar`.
734
735### Response Format Text Python
736
737- `response_format_text_python: object { type }`
738
739 Configure the model to generate valid Python code. See the
740 [custom grammars guide](https://platform.openai.com/docs/guides/custom-grammars) for more details.
741
742 - `type: "python"`
743
744 The type of response format being defined. Always `python`.
745
746### Responses Model
747
748- `responses_model: string or ChatModel or "o1-pro" or "o1-pro-2025-03-19" or "o3-pro" or 11 more`
749
750 - `union_member_0: string`
751
752 - `chat_model: "gpt-5.4" or "gpt-5.4-mini" or "gpt-5.4-nano" or 75 more`
753
754 - `"gpt-5.4"`
755
756 - `"gpt-5.4-mini"`
757
758 - `"gpt-5.4-nano"`
759
760 - `"gpt-5.4-mini-2026-03-17"`
761
762 - `"gpt-5.4-nano-2026-03-17"`
763
764 - `"gpt-5.3-chat-latest"`
765
766 - `"gpt-5.2"`
767
768 - `"gpt-5.2-2025-12-11"`
769
770 - `"gpt-5.2-chat-latest"`
771
772 - `"gpt-5.2-pro"`
773
774 - `"gpt-5.2-pro-2025-12-11"`
775
776 - `"gpt-5.1"`
777
778 - `"gpt-5.1-2025-11-13"`
779
780 - `"gpt-5.1-codex"`
781
782 - `"gpt-5.1-mini"`
783
784 - `"gpt-5.1-chat-latest"`
785
786 - `"gpt-5"`
787
788 - `"gpt-5-mini"`
789
790 - `"gpt-5-nano"`
791
792 - `"gpt-5-2025-08-07"`
793
794 - `"gpt-5-mini-2025-08-07"`
795
796 - `"gpt-5-nano-2025-08-07"`
797
798 - `"gpt-5-chat-latest"`
799
800 - `"gpt-4.1"`
801
802 - `"gpt-4.1-mini"`
803
804 - `"gpt-4.1-nano"`
805
806 - `"gpt-4.1-2025-04-14"`
807
808 - `"gpt-4.1-mini-2025-04-14"`
809
810 - `"gpt-4.1-nano-2025-04-14"`
811
812 - `"o4-mini"`
813
814 - `"o4-mini-2025-04-16"`
815
816 - `"o3"`
817
818 - `"o3-2025-04-16"`
819
820 - `"o3-mini"`
821
822 - `"o3-mini-2025-01-31"`
823
824 - `"o1"`
825
826 - `"o1-2024-12-17"`
827
828 - `"o1-preview"`
829
830 - `"o1-preview-2024-09-12"`
831
832 - `"o1-mini"`
833
834 - `"o1-mini-2024-09-12"`
835
836 - `"gpt-4o"`
837
838 - `"gpt-4o-2024-11-20"`
839
840 - `"gpt-4o-2024-08-06"`
841
842 - `"gpt-4o-2024-05-13"`
843
844 - `"gpt-4o-audio-preview"`
845
846 - `"gpt-4o-audio-preview-2024-10-01"`
847
848 - `"gpt-4o-audio-preview-2024-12-17"`
849
850 - `"gpt-4o-audio-preview-2025-06-03"`
851
852 - `"gpt-4o-mini-audio-preview"`
853
854 - `"gpt-4o-mini-audio-preview-2024-12-17"`
855
856 - `"gpt-4o-search-preview"`
857
858 - `"gpt-4o-mini-search-preview"`
859
860 - `"gpt-4o-search-preview-2025-03-11"`
861
862 - `"gpt-4o-mini-search-preview-2025-03-11"`
863
864 - `"chatgpt-4o-latest"`
865
866 - `"codex-mini-latest"`
867
868 - `"gpt-4o-mini"`
869
870 - `"gpt-4o-mini-2024-07-18"`
871
872 - `"gpt-4-turbo"`
873
874 - `"gpt-4-turbo-2024-04-09"`
875
876 - `"gpt-4-0125-preview"`
877
878 - `"gpt-4-turbo-preview"`
879
880 - `"gpt-4-1106-preview"`
881
882 - `"gpt-4-vision-preview"`
883
884 - `"gpt-4"`
885
886 - `"gpt-4-0314"`
887
888 - `"gpt-4-0613"`
889
890 - `"gpt-4-32k"`
891
892 - `"gpt-4-32k-0314"`
893
894 - `"gpt-4-32k-0613"`
895
896 - `"gpt-3.5-turbo"`
897
898 - `"gpt-3.5-turbo-16k"`
899
900 - `"gpt-3.5-turbo-0301"`
901
902 - `"gpt-3.5-turbo-0613"`
903
904 - `"gpt-3.5-turbo-1106"`
905
906 - `"gpt-3.5-turbo-0125"`
907
908 - `"gpt-3.5-turbo-16k-0613"`
909
910 - `ResponsesOnlyModel: "o1-pro" or "o1-pro-2025-03-19" or "o3-pro" or 11 more`
911
912 - `"o1-pro"`
913
914 - `"o1-pro-2025-03-19"`
915
916 - `"o3-pro"`
917
918 - `"o3-pro-2025-06-10"`
919
920 - `"o3-deep-research"`
921
922 - `"o3-deep-research-2025-06-26"`
923
924 - `"o4-mini-deep-research"`
925
926 - `"o4-mini-deep-research-2025-06-26"`
927
928 - `"computer-use-preview"`
929
930 - `"computer-use-preview-2025-03-11"`
931
932 - `"gpt-5-codex"`
933
934 - `"gpt-5-pro"`
935
936 - `"gpt-5-pro-2025-10-06"`
937
938 - `"gpt-5.1-codex-max"`