Documentaziun per agens IA
Questa documentaziun è concepida per vegnir legida tant dad assistents d'IA sco da persunas. Dà a tes agent in dals puncts d'entrada sutvart e el po scriver code d'integraziun correct senza stimar nums da parameters u pretschs.
Puncts d'entrada
| URL | Cosa ch'igl è |
|---|---|
| https://doitong.com/developers/llms.txt | Index en il format llms.txt: mintga guida e model cun ina descripziun d'ina lingia. |
| https://doitong.com/developers/llms-full.txt | Mintga guida cumpleta, ils models relevants cumplets e las infurmaziuns essenzialas da tut ils 1 496 models (id, producent, pretsch, link a la pagina cumpleta) en ina datoteca Markdown. |
/<lang>/developers/llms.txt |
Il medem index cun las guidas en in'autra lingua dal site, per exempel https://doitong.com/de/developers/llms.txt (englais è la lingua standard). |
<any page>.md |
Il dubel Markdown d'ina pagina, per exempel https://doitong.com/developers/models/flux/schnell.md u https://doitong.com/developers/docs/quickstart.md. |
/developers/models/<id>/llms.txt |
Il medem sco il dubel .md dal model. |
| https://doitong.com/developers/openapi.json | OpenAPI 3.1 per generaturs da code: mintga endpoint e corps da dumonda tipisads dals models relevants; ?model=<id>, ?category=<id> u ?models=all agiuntan auters. |
https://api.doitong.com/v1/models |
Il catalog sco JSON (naginas clavs necessarias). |
La pagina Markdown da mintga model ha ses pretsch en USD e credits API, mintga parameter cun tut las valurs permessas, in exempel mo cun ils parameters necessaris ed in exempel cumplet, la furma da la resposta e code pront per curl, JavaScript, Python e MCP.
Copiar per IA
Mintga pagina da model ha in buttun Copiar per IA: copia la pagina sco Markdown u avra ella en ChatGPT u Claude cun in prompt che mussa l'assistent a la versiun Markdown.
In prompt che funcziuna
Engolescha quai en Claude, ChatGPT u Cursor, e descriva lura tge che ti vuls construir:
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.com/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.Laschar l'agent clamar models sez
Per laschar in agent generar medias directamain, connecta il server MCP cun ina clav che ha in budget en credits API. L'agent ha lura utensils per tschertgar models, citar pretschs, exequir e retrair resultats, e na po betg spendrar dapli che il budget.