Tuhinga mō ngā māngai AI
I hangaia ēnei tuhinga kia pānuitia e ngā kaiāwhina AI me te tangata hoki. Hoatu ki tō kaiāwhina tētahi o ngā wāhi tīmatanga kei raro nei, ā, ka taea e ia te tuhi waehere whakauru tika me te kore e matapae i ngā ingoa tawhā, i ngā utu rānei.
Ngā wāhi tīmatanga
| URL | He aha tēnei |
|---|---|
| https://doitong.com/developers/llms.txt | Taupū i te whakatakotoranga llms.txt: ko ia aratohu me ia tauira, me tētahi whakamārama kotahi-raina. |
| https://doitong.com/developers/llms-full.txt | Ngā aratohu katoa kua oti, ngā tauira matua kua oti, me ngā mea matua o ngā tauira 1,496 katoa (id, kaiwhakanao, utu, hono ki te whārangi katoa) ki roto i te kōnae Markdown kotahi. |
/<lang>/developers/llms.txt |
Ko taua taupū anō me ngā aratohu i tētahi atu reo o te pae, hei tauira https://doitong.com/de/developers/llms.txt (ko te reo Ingarihi te taunoa). |
<any page>.md |
Ko te ritenga Markdown o tētahi whārangi, hei tauira https://doitong.com/developers/models/flux/schnell.md, https://doitong.com/developers/docs/quickstart.md rānei. |
/developers/models/<id>/llms.txt |
He ōrite ki te ritenga .md o te tauira. |
| https://doitong.com/developers/openapi.json | OpenAPI 3.1 mō ngā kaiwhakaputa waehere: ia pito mutunga me ngā tinana tono kua patohia o ngā tauira matua; mā ?model=<id>, ?category=<id> rānei ?models=all ka tāpiri i ētahi atu. |
https://api.doitong.ru/v1/models |
Te rārangi tauira hei JSON (kāore he kī e hiahiatia ana). |
Kei te whārangi Markdown o ia tauira tōna utu i te USD me ngā whiwhinga API, ia tawhā me ngā uara katoa e whakaaetia ana, he tauira mō ngā mea e tika ana anake me tētahi hei whakakī katoa, te āhua o te whakautu, me te waehere kua rite mō curl, JavaScript, Python me MCP.
Tārua mō AI
Kei ia whārangi tauira he pātene Tārua mō AI: tāruatia te whārangi hei Markdown, whakatuwheratia rānei ki ChatGPT, ki Claude rānei me tētahi tohutohu e tohu ana i te putanga Markdown ki te kaiāwhina.
He tono e whai hua ana
Whakapirihia tēnei ki Claude, ChatGPT, Cursor rānei, kātahi ka whakaahua i tāu e hiahia ana ki te hanga:
I want to generate images/video/audio with the Doitong API.
Read https://doitong.com/developers/llms.txt first, then the .md page of each model you plan to use.
Facts: base URL https://api.doitong.ru/v1; auth header "Authorization: Bearer <key>" with the key from the
DOITONG_API_KEY environment variable; run with POST /run/{model_id}?wait=20 and, if the status is
still queued or running, poll GET /requests/{id}?wait=20; outputs[].url are file URLs on Doitong storage
(kept forever by default; add ?storage=temporary for throwaway runs, deleted after 7 days).
Get the price first with POST /quote/{model_id} (same body): exact, or for a model charged by usage the
most the run can cost (the unused part is refunded). Prices are in USD; 1000 API credits = 1 USD.
Use the parameter names from the model page; never invent parameters.Tukua mā te kaiāwhina ngā tauira e karanga ake
Kia taea ai e tētahi kaiāwhina te whakaputa pāpāho tika, honoa te tūmau MCP me tētahi kī he pūtea kei roto i ngā whiwhinga API. Ka whai taputapu te kaiāwhina hei rapu tauira, hei tiki utu, hei whakahaere, hei tiki hua, ā, e kore e taea te whakapau nui ake i te pūtea.