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cloudflare-typescript/src/resources/ai

src/resources/ai/ai.ts

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1// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
2
3import { APIResource } from '../../resource';
4import * as Core from '../../core';
5import * as AuthorsAPI from './authors';
6import { AuthorListParams, AuthorListResponse, AuthorListResponsesSinglePage, Authors } from './authors';
7import * as TasksAPI from './tasks';
8import { TaskListParams, TaskListResponse, TaskListResponsesSinglePage, Tasks } from './tasks';
9import * as FinetunesAPI from './finetunes/finetunes';
10import {
11 FinetuneCreateParams,
12 FinetuneCreateResponse,
13 FinetuneListParams,
14 FinetuneListResponse,
15 Finetunes,
16} from './finetunes/finetunes';
17import * as ModelsAPI from './models/models';
18import {
19 ModelListParams,
20 ModelListResponse,
21 ModelListResponsesV4PagePaginationArray,
22 Models,
23} from './models/models';
24
25export class AI extends APIResource {
26 finetunes: FinetunesAPI.Finetunes = new FinetunesAPI.Finetunes(this._client);
27 authors: AuthorsAPI.Authors = new AuthorsAPI.Authors(this._client);
28 tasks: TasksAPI.Tasks = new TasksAPI.Tasks(this._client);
29 models: ModelsAPI.Models = new ModelsAPI.Models(this._client);
30
31 /**
32 * This endpoint provides users with the capability to run specific AI models
33 * on-demand.
34 *
35 * By submitting the required input data, users can receive real-time predictions
36 * or results generated by the chosen AI model. The endpoint supports various AI
37 * model types, ensuring flexibility and adaptability for diverse use cases.
38 *
39 * Model specific inputs available in
40 * [Cloudflare Docs](https://developers.cloudflare.com/workers-ai/models/).
41 */
42 run(modelName: string, params: AIRunParams, options?: Core.RequestOptions): Core.APIPromise<AIRunResponse> {
43 const { account_id, ...body } = params;
44 return (
45 this._client.post(`/accounts/${account_id}/ai/run/${modelName}`, {
46 body,
47 ...options,
48 }) as Core.APIPromise<{ result: AIRunResponse }>
49 )._thenUnwrap((obj) => obj.result);
50 }
51}
52
53/**
54 * An array of classification results for the input text
55 */
56export type AIRunResponse =
57 | Array<AIRunResponse.TextClassification>
58 | Core.Uploadable
59 | AIRunResponse.Audio
60 | AIRunResponse.TextEmbeddings
61 | AIRunResponse.AutomaticSpeechRecognition
62 | Array<AIRunResponse.ImageClassification>
63 | Array<AIRunResponse.ObjectDetection>
64 | AIRunResponse.UnionMember7
65 | AIRunResponse.Translation
66 | AIRunResponse.Summarization
67 | AIRunResponse.ImageToText
68 | AIRunResponse.ImageTextToText
69 | AIRunResponse.MultimodalEmbeddings;
70
71export namespace AIRunResponse {
72 export interface TextClassification {
73 /**
74 * The classification label assigned to the text (e.g., 'POSITIVE' or 'NEGATIVE')
75 */
76 label?: string;
77
78 /**
79 * Confidence score indicating the likelihood that the text belongs to the
80 * specified label
81 */
82 score?: number;
83 }
84
85 export interface Audio {
86 /**
87 * The generated audio in MP3 format, base64-encoded
88 */
89 audio?: string;
90 }
91
92 export interface TextEmbeddings {
93 /**
94 * Embeddings of the requested text values
95 */
96 data?: Array<Array<number>>;
97
98 shape?: Array<number>;
99 }
100
101 export interface AutomaticSpeechRecognition {
102 /**
103 * The transcription
104 */
105 text: string;
106
107 vtt?: string;
108
109 word_count?: number;
110
111 words?: Array<AutomaticSpeechRecognition.Word>;
112 }
113
114 export namespace AutomaticSpeechRecognition {
115 export interface Word {
116 /**
117 * The ending second when the word completes
118 */
119 end?: number;
120
121 /**
122 * The second this word begins in the recording
123 */
124 start?: number;
125
126 word?: string;
127 }
128 }
129
130 export interface ImageClassification {
131 /**
132 * The predicted category or class for the input image based on analysis
133 */
134 label?: string;
135
136 /**
137 * A confidence value, between 0 and 1, indicating how certain the model is about
138 * the predicted label
139 */
140 score?: number;
141 }
142
143 export interface ObjectDetection {
144 /**
145 * Coordinates defining the bounding box around the detected object
146 */
147 box?: ObjectDetection.Box;
148
149 /**
150 * The class label or name of the detected object
151 */
152 label?: string;
153
154 /**
155 * Confidence score indicating the likelihood that the detection is correct
156 */
157 score?: number;
158 }
159
160 export namespace ObjectDetection {
161 /**
162 * Coordinates defining the bounding box around the detected object
163 */
164 export interface Box {
165 /**
166 * The x-coordinate of the bottom-right corner of the bounding box
167 */
168 xmax?: number;
169
170 /**
171 * The x-coordinate of the top-left corner of the bounding box
172 */
173 xmin?: number;
174
175 /**
176 * The y-coordinate of the bottom-right corner of the bounding box
177 */
178 ymax?: number;
179
180 /**
181 * The y-coordinate of the top-left corner of the bounding box
182 */
183 ymin?: number;
184 }
185 }
186
187 export interface UnionMember7 {
188 /**
189 * The generated text response from the model
190 */
191 response: string;
192
193 /**
194 * An array of tool calls requests made during the response generation
195 */
196 tool_calls?: Array<UnionMember7.ToolCall>;
197
198 /**
199 * Usage statistics for the inference request
200 */
201 usage?: UnionMember7.Usage;
202 }
203
204 export namespace UnionMember7 {
205 export interface ToolCall {
206 /**
207 * The arguments passed to be passed to the tool call request
208 */
209 arguments?: unknown;
210
211 /**
212 * The name of the tool to be called
213 */
214 name?: string;
215 }
216
217 /**
218 * Usage statistics for the inference request
219 */
220 export interface Usage {
221 /**
222 * Total number of tokens in output
223 */
224 completion_tokens?: number;
225
226 /**
227 * Total number of tokens in input
228 */
229 prompt_tokens?: number;
230
231 /**
232 * Total number of input and output tokens
233 */
234 total_tokens?: number;
235 }
236 }
237
238 export interface Translation {
239 /**
240 * The translated text in the target language
241 */
242 translated_text?: string;
243 }
244
245 export interface Summarization {
246 /**
247 * The summarized version of the input text
248 */
249 summary?: string;
250 }
251
252 export interface ImageToText {
253 description?: string;
254 }
255
256 export interface ImageTextToText {
257 description?: string;
258 }
259
260 export interface MultimodalEmbeddings {
261 data?: Array<Array<number>>;
262
263 shape?: Array<number>;
264 }
265}
266
267export type AIRunParams =
268 | AIRunParams.TextClassification
269 | AIRunParams.TextToImage
270 | AIRunParams.TextToSpeech
271 | AIRunParams.TextEmbeddings
272 | AIRunParams.AutomaticSpeechRecognition
273 | AIRunParams.ImageClassification
274 | AIRunParams.ObjectDetection
275 | AIRunParams.Prompt
276 | AIRunParams.Messages
277 | AIRunParams.Translation
278 | AIRunParams.Summarization
279 | AIRunParams.ImageToText
280 | AIRunParams.Variant12
281 | AIRunParams.Variant13
282 | AIRunParams.MultimodalEmbeddings;
283
284export declare namespace AIRunParams {
285 export interface TextClassification {
286 /**
287 * Path param:
288 */
289 account_id: string;
290
291 /**
292 * Body param: The text that you want to classify
293 */
294 text: string;
295 }
296
297 export interface TextToImage {
298 /**
299 * Path param:
300 */
301 account_id: string;
302
303 /**
304 * Body param: A text description of the image you want to generate
305 */
306 prompt: string;
307
308 /**
309 * Body param: Controls how closely the generated image should adhere to the
310 * prompt; higher values make the image more aligned with the prompt
311 */
312 guidance?: number;
313
314 /**
315 * Body param: The height of the generated image in pixels
316 */
317 height?: number;
318
319 /**
320 * Body param: For use with img2img tasks. An array of integers that represent the
321 * image data constrained to 8-bit unsigned integer values
322 */
323 image?: Array<number>;
324
325 /**
326 * Body param: For use with img2img tasks. A base64-encoded string of the input
327 * image
328 */
329 image_b64?: string;
330
331 /**
332 * Body param: An array representing An array of integers that represent mask image
333 * data for inpainting constrained to 8-bit unsigned integer values
334 */
335 mask?: Array<number>;
336
337 /**
338 * Body param: Text describing elements to avoid in the generated image
339 */
340 negative_prompt?: string;
341
342 /**
343 * Body param: The number of diffusion steps; higher values can improve quality but
344 * take longer
345 */
346 num_steps?: number;
347
348 /**
349 * Body param: Random seed for reproducibility of the image generation
350 */
351 seed?: number;
352
353 /**
354 * Body param: A value between 0 and 1 indicating how strongly to apply the
355 * transformation during img2img tasks; lower values make the output closer to the
356 * input image
357 */
358 strength?: number;
359
360 /**
361 * Body param: The width of the generated image in pixels
362 */
363 width?: number;
364 }
365
366 export interface TextToSpeech {
367 /**
368 * Path param:
369 */
370 account_id: string;
371
372 /**
373 * Body param: A text description of the audio you want to generate
374 */
375 prompt: string;
376
377 /**
378 * Body param: The speech language (e.g., 'en' for English, 'fr' for French).
379 * Defaults to 'en' if not specified
380 */
381 lang?: string;
382 }
383
384 export interface TextEmbeddings {
385 /**
386 * Path param:
387 */
388 account_id: string;
389
390 /**
391 * Body param: The text to embed
392 */
393 text: string | Array<string>;
394 }
395
396 export interface AutomaticSpeechRecognition {
397 /**
398 * Path param:
399 */
400 account_id: string;
401
402 /**
403 * Body param: An array of integers that represent the audio data constrained to
404 * 8-bit unsigned integer values
405 */
406 audio: Array<number>;
407
408 /**
409 * Body param: The language of the recorded audio
410 */
411 source_lang?: string;
412
413 /**
414 * Body param: The language to translate the transcription into. Currently only
415 * English is supported.
416 */
417 target_lang?: string;
418 }
419
420 export interface ImageClassification {
421 /**
422 * Path param:
423 */
424 account_id: string;
425
426 /**
427 * Body param: An array of integers that represent the image data constrained to
428 * 8-bit unsigned integer values
429 */
430 image: Array<number>;
431 }
432
433 export interface ObjectDetection {
434 /**
435 * Path param:
436 */
437 account_id: string;
438
439 /**
440 * Body param: An array of integers that represent the image data constrained to
441 * 8-bit unsigned integer values
442 */
443 image?: Array<number>;
444 }
445
446 export interface Prompt {
447 /**
448 * Path param:
449 */
450 account_id: string;
451
452 /**
453 * Body param: The input text prompt for the model to generate a response.
454 */
455 prompt: string;
456
457 /**
458 * Body param: Decreases the likelihood of the model repeating the same lines
459 * verbatim.
460 */
461 frequency_penalty?: number;
462
463 /**
464 * Body param: Name of the LoRA (Low-Rank Adaptation) model to fine-tune the base
465 * model.
466 */
467 lora?: string;
468
469 /**
470 * Body param: The maximum number of tokens to generate in the response.
471 */
472 max_tokens?: number;
473
474 /**
475 * Body param: Increases the likelihood of the model introducing new topics.
476 */
477 presence_penalty?: number;
478
479 /**
480 * Body param: If true, a chat template is not applied and you must adhere to the
481 * specific model's expected formatting.
482 */
483 raw?: boolean;
484
485 /**
486 * Body param: Penalty for repeated tokens; higher values discourage repetition.
487 */
488 repetition_penalty?: number;
489
490 /**
491 * Body param:
492 */
493 response_format?: Prompt.ResponseFormat;
494
495 /**
496 * Body param: Random seed for reproducibility of the generation.
497 */
498 seed?: number;
499
500 /**
501 * Body param: If true, the response will be streamed back incrementally using SSE,
502 * Server Sent Events.
503 */
504 stream?: boolean;
505
506 /**
507 * Body param: Controls the randomness of the output; higher values produce more
508 * random results.
509 */
510 temperature?: number;
511
512 /**
513 * Body param: Limits the AI to choose from the top 'k' most probable words. Lower
514 * values make responses more focused; higher values introduce more variety and
515 * potential surprises.
516 */
517 top_k?: number;
518
519 /**
520 * Body param: Adjusts the creativity of the AI's responses by controlling how many
521 * possible words it considers. Lower values make outputs more predictable; higher
522 * values allow for more varied and creative responses.
523 */
524 top_p?: number;
525 }
526
527 export namespace Prompt {
528 export interface ResponseFormat {
529 json_schema?: unknown;
530
531 type?: 'json_object' | 'json_schema';
532 }
533 }
534
535 export interface Messages {
536 /**
537 * Path param:
538 */
539 account_id: string;
540
541 /**
542 * Body param: An array of message objects representing the conversation history.
543 */
544 messages: Array<Messages.Message>;
545
546 /**
547 * Body param: Decreases the likelihood of the model repeating the same lines
548 * verbatim.
549 */
550 frequency_penalty?: number;
551
552 /**
553 * Body param:
554 */
555 functions?: Array<Messages.Function>;
556
557 /**
558 * Body param: The maximum number of tokens to generate in the response.
559 */
560 max_tokens?: number;
561
562 /**
563 * Body param: Increases the likelihood of the model introducing new topics.
564 */
565 presence_penalty?: number;
566
567 /**
568 * Body param: If true, a chat template is not applied and you must adhere to the
569 * specific model's expected formatting.
570 */
571 raw?: boolean;
572
573 /**
574 * Body param: Penalty for repeated tokens; higher values discourage repetition.
575 */
576 repetition_penalty?: number;
577
578 /**
579 * Body param:
580 */
581 response_format?: Messages.ResponseFormat;
582
583 /**
584 * Body param: Random seed for reproducibility of the generation.
585 */
586 seed?: number;
587
588 /**
589 * Body param: If true, the response will be streamed back incrementally using SSE,
590 * Server Sent Events.
591 */
592 stream?: boolean;
593
594 /**
595 * Body param: Controls the randomness of the output; higher values produce more
596 * random results.
597 */
598 temperature?: number;
599
600 /**
601 * Body param: A list of tools available for the assistant to use.
602 */
603 tools?: Array<Messages.UnionMember0 | Messages.Function>;
604
605 /**
606 * Body param: Limits the AI to choose from the top 'k' most probable words. Lower
607 * values make responses more focused; higher values introduce more variety and
608 * potential surprises.
609 */
610 top_k?: number;
611
612 /**
613 * Body param: Adjusts the creativity of the AI's responses by controlling how many
614 * possible words it considers. Lower values make outputs more predictable; higher
615 * values allow for more varied and creative responses.
616 */
617 top_p?: number;
618 }
619
620 export namespace Messages {
621 export interface Message {
622 /**
623 * The content of the message as a string.
624 */
625 content: string;
626
627 /**
628 * The role of the message sender (e.g., 'user', 'assistant', 'system', 'tool').
629 */
630 role: string;
631 }
632
633 export interface Function {
634 code: string;
635
636 name: string;
637 }
638
639 export interface ResponseFormat {
640 json_schema?: unknown;
641
642 type?: 'json_object' | 'json_schema';
643 }
644
645 export interface UnionMember0 {
646 /**
647 * A brief description of what the tool does.
648 */
649 description: string;
650
651 /**
652 * The name of the tool. More descriptive the better.
653 */
654 name: string;
655
656 /**
657 * Schema defining the parameters accepted by the tool.
658 */
659 parameters: UnionMember0.Parameters;
660 }
661
662 export namespace UnionMember0 {
663 /**
664 * Schema defining the parameters accepted by the tool.
665 */
666 export interface Parameters {
667 /**
668 * Definitions of each parameter.
669 */
670 properties: { [key: string]: Parameters.Properties };
671
672 /**
673 * The type of the parameters object (usually 'object').
674 */
675 type: string;
676
677 /**
678 * List of required parameter names.
679 */
680 required?: Array<string>;
681 }
682
683 export namespace Parameters {
684 export interface Properties {
685 /**
686 * A description of the expected parameter.
687 */
688 description: string;
689
690 /**
691 * The data type of the parameter.
692 */
693 type: string;
694 }
695 }
696 }
697
698 export interface Function {
699 /**
700 * Details of the function tool.
701 */
702 function: Function.Function;
703
704 /**
705 * Specifies the type of tool (e.g., 'function').
706 */
707 type: string;
708 }
709
710 export namespace Function {
711 /**
712 * Details of the function tool.
713 */
714 export interface Function {
715 /**
716 * A brief description of what the function does.
717 */
718 description: string;
719
720 /**
721 * The name of the function.
722 */
723 name: string;
724
725 /**
726 * Schema defining the parameters accepted by the function.
727 */
728 parameters: Function.Parameters;
729 }
730
731 export namespace Function {
732 /**
733 * Schema defining the parameters accepted by the function.
734 */
735 export interface Parameters {
736 /**
737 * Definitions of each parameter.
738 */
739 properties: { [key: string]: Parameters.Properties };
740
741 /**
742 * The type of the parameters object (usually 'object').
743 */
744 type: string;
745
746 /**
747 * List of required parameter names.
748 */
749 required?: Array<string>;
750 }
751
752 export namespace Parameters {
753 export interface Properties {
754 /**
755 * A description of the expected parameter.
756 */
757 description: string;
758
759 /**
760 * The data type of the parameter.
761 */
762 type: string;
763 }
764 }
765 }
766 }
767 }
768
769 export interface Translation {
770 /**
771 * Path param:
772 */
773 account_id: string;
774
775 /**
776 * Body param: The language code to translate the text into (e.g., 'es' for
777 * Spanish)
778 */
779 target_lang: string;
780
781 /**
782 * Body param: The text to be translated
783 */
784 text: string;
785
786 /**
787 * Body param: The language code of the source text (e.g., 'en' for English).
788 * Defaults to 'en' if not specified
789 */
790 source_lang?: string;
791 }
792
793 export interface Summarization {
794 /**
795 * Path param:
796 */
797 account_id: string;
798
799 /**
800 * Body param: The text that you want the model to summarize
801 */
802 input_text: string;
803
804 /**
805 * Body param: The maximum length of the generated summary in tokens
806 */
807 max_length?: number;
808 }
809
810 export interface ImageToText {
811 /**
812 * Path param:
813 */
814 account_id: string;
815
816 /**
817 * Body param: An array of integers that represent the image data constrained to
818 * 8-bit unsigned integer values
819 */
820 image: Array<number>;
821
822 /**
823 * Body param: Decreases the likelihood of the model repeating the same lines
824 * verbatim.
825 */
826 frequency_penalty?: number;
827
828 /**
829 * Body param: The maximum number of tokens to generate in the response.
830 */
831 max_tokens?: number;
832
833 /**
834 * Body param: Increases the likelihood of the model introducing new topics.
835 */
836 presence_penalty?: number;
837
838 /**
839 * Body param: The input text prompt for the model to generate a response.
840 */
841 prompt?: string;
842
843 /**
844 * Body param: If true, a chat template is not applied and you must adhere to the
845 * specific model's expected formatting.
846 */
847 raw?: boolean;
848
849 /**
850 * Body param: Penalty for repeated tokens; higher values discourage repetition.
851 */
852 repetition_penalty?: number;
853
854 /**
855 * Body param: Random seed for reproducibility of the generation.
856 */
857 seed?: number;
858
859 /**
860 * Body param: Controls the randomness of the output; higher values produce more
861 * random results.
862 */
863 temperature?: number;
864
865 /**
866 * Body param: Limits the AI to choose from the top 'k' most probable words. Lower
867 * values make responses more focused; higher values introduce more variety and
868 * potential surprises.
869 */
870 top_k?: number;
871
872 /**
873 * Body param: Controls the creativity of the AI's responses by adjusting how many
874 * possible words it considers. Lower values make outputs more predictable; higher
875 * values allow for more varied and creative responses.
876 */
877 top_p?: number;
878 }
879
880 export interface Variant12 {
881 /**
882 * Path param:
883 */
884 account_id: string;
885
886 /**
887 * Body param: Image in base64 encoded format.
888 */
889 image: string;
890
891 /**
892 * Body param: The input text prompt for the model to generate a response.
893 */
894 prompt: string;
895
896 /**
897 * Body param: Decreases the likelihood of the model repeating the same lines
898 * verbatim.
899 */
900 frequency_penalty?: number;
901
902 /**
903 * Body param: Whether to ignore the EOS token and continue generating tokens after
904 * the EOS token is generated.
905 */
906 ignore_eos?: boolean;
907
908 /**
909 * Body param: The maximum number of tokens to generate in the response.
910 */
911 max_tokens?: number;
912
913 /**
914 * Body param: Increases the likelihood of the model introducing new topics.
915 */
916 presence_penalty?: number;
917
918 /**
919 * Body param: Penalty for repeated tokens; higher values discourage repetition.
920 */
921 repetition_penalty?: number;
922
923 /**
924 * Body param: Random seed for reproducibility of the generation.
925 */
926 seed?: number;
927
928 /**
929 * Body param: Controls the randomness of the output; higher values produce more
930 * random results.
931 */
932 temperature?: number;
933
934 /**
935 * Body param: Limits the AI to choose from the top 'k' most probable words. Lower
936 * values make responses more focused; higher values introduce more variety and
937 * potential surprises.
938 */
939 top_k?: number;
940
941 /**
942 * Body param: Controls the creativity of the AI's responses by adjusting how many
943 * possible words it considers. Lower values make outputs more predictable; higher
944 * values allow for more varied and creative responses.
945 */
946 top_p?: number;
947 }
948
949 export interface Variant13 {
950 /**
951 * Path param:
952 */
953 account_id: string;
954
955 /**
956 * Body param: Image in base64 encoded format.
957 */
958 image: string;
959
960 /**
961 * Body param: An array of message objects representing the conversation history.
962 */
963 messages: Array<Variant13.Message>;
964
965 /**
966 * Body param: Decreases the likelihood of the model repeating the same lines
967 * verbatim.
968 */
969 frequency_penalty?: number;
970
971 /**
972 * Body param: Whether to ignore the EOS token and continue generating tokens after
973 * the EOS token is generated.
974 */
975 ignore_eos?: boolean;
976
977 /**
978 * Body param: The maximum number of tokens to generate in the response.
979 */
980 max_tokens?: number;
981
982 /**
983 * Body param: Increases the likelihood of the model introducing new topics.
984 */
985 presence_penalty?: number;
986
987 /**
988 * Body param: Penalty for repeated tokens; higher values discourage repetition.
989 */
990 repetition_penalty?: number;
991
992 /**
993 * Body param: Random seed for reproducibility of the generation.
994 */
995 seed?: number;
996
997 /**
998 * Body param: Controls the randomness of the output; higher values produce more
999 * random results.
1000 */
1001 temperature?: number;
1002
1003 /**
1004 * Body param: Limits the AI to choose from the top 'k' most probable words. Lower
1005 * values make responses more focused; higher values introduce more variety and
1006 * potential surprises.
1007 */
1008 top_k?: number;
1009
1010 /**
1011 * Body param: Controls the creativity of the AI's responses by adjusting how many
1012 * possible words it considers. Lower values make outputs more predictable; higher
1013 * values allow for more varied and creative responses.
1014 */
1015 top_p?: number;
1016 }
1017
1018 export namespace Variant13 {
1019 export interface Message {
1020 /**
1021 * The content of the message as a string.
1022 */
1023 content: string;
1024
1025 /**
1026 * The role of the message sender (e.g., 'user', 'assistant', 'system', 'tool').
1027 */
1028 role: string;
1029 }
1030 }
1031
1032 export interface MultimodalEmbeddings {
1033 /**
1034 * Path param:
1035 */
1036 account_id: string;
1037
1038 /**
1039 * Body param: Image in base64 encoded format.
1040 */
1041 image?: string;
1042
1043 /**
1044 * Body param:
1045 */
1046 text?: Array<string>;
1047 }
1048}
1049
1050AI.Finetunes = Finetunes;
1051AI.Authors = Authors;
1052AI.AuthorListResponsesSinglePage = AuthorListResponsesSinglePage;
1053AI.Tasks = Tasks;
1054AI.TaskListResponsesSinglePage = TaskListResponsesSinglePage;
1055AI.Models = Models;
1056AI.ModelListResponsesV4PagePaginationArray = ModelListResponsesV4PagePaginationArray;
1057
1058export declare namespace AI {
1059 export { type AIRunResponse as AIRunResponse, type AIRunParams as AIRunParams };
1060
1061 export {
1062 Finetunes as Finetunes,
1063 type FinetuneCreateResponse as FinetuneCreateResponse,
1064 type FinetuneListResponse as FinetuneListResponse,
1065 type FinetuneCreateParams as FinetuneCreateParams,
1066 type FinetuneListParams as FinetuneListParams,
1067 };
1068
1069 export {
1070 Authors as Authors,
1071 type AuthorListResponse as AuthorListResponse,
1072 AuthorListResponsesSinglePage as AuthorListResponsesSinglePage,
1073 type AuthorListParams as AuthorListParams,
1074 };
1075
1076 export {
1077 Tasks as Tasks,
1078 type TaskListResponse as TaskListResponse,
1079 TaskListResponsesSinglePage as TaskListResponsesSinglePage,
1080 type TaskListParams as TaskListParams,
1081 };
1082
1083 export {
1084 Models as Models,
1085 type ModelListResponse as ModelListResponse,
1086 ModelListResponsesV4PagePaginationArray as ModelListResponsesV4PagePaginationArray,
1087 type ModelListParams as ModelListParams,
1088 };
1089}
1090