Docs API

API AI kompatível ho OpenAI. Kopia Markdown tomak ka prompt ba Ita-nia AI agent.

https://api.cyberhatak.arsana.cloud/v1

Hahú lalais

Cyberhatak nia API kompatível ho OpenAI. Se kódigu Ita uza ona OpenAI SDK, troka base URL no xave deit.

Tama iha dashboard → Tau saldu → hili Saldu AI.
Kria xave foun iha seksaun Xave AI.
Tau xave iha env var no uza base URL iha kraik.

.env

CYBERHATAK_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
CYBERHATAK_BASE_URL=https://api.cyberhatak.arsana.cloud/v1

# Many tools read these standard names too:
OPENAI_API_KEY=$CYBERHATAK_API_KEY
OPENAI_BASE_URL=$CYBERHATAK_BASE_URL

Autentikasaun

Haruka xave iha header Authorization ho formatu Bearer. Xave hahú ho sk-. Keta hatama xave iha kódigu frontend ka repo públiku.

http

Authorization: Bearer sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Chat completions

POST /v1/chat/completions, hanesan ho OpenAI. Suporta stream: true.

curl

curl https://api.cyberhatak.arsana.cloud/v1/chat/completions \
  -H "Authorization: Bearer $CYBERHATAK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [{"role": "user", "content": "Bondia! Explika AI iha liafuan tolu."}]
  }'

Python

# pip install openai
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cyberhatak.arsana.cloud/v1",
    api_key=os.environ["CYBERHATAK_API_KEY"],
)

res = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Bondia!"}],
)
print(res.choices[0].message.content)

Node.js

// npm install openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.cyberhatak.arsana.cloud/v1",
  apiKey: process.env.CYBERHATAK_API_KEY,
});

const stream = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [{ role: "user", content: "Bondia!" }],
  stream: true,
});
for await (const chunk of stream) process.stdout.write(chunk.choices[0]?.delta?.content ?? "");

Modelu no folin

GET /v1/models fó lista modelu. Folin iha USD kada 1M token (ezemplu; folin loos hatudu iha dashboard).

Modelu	Fornesedór	Input / 1M	Output / 1M	Kontekstu
`claude-opus-5-5`	Anthropic	$5.20	$26.00	1M
`claude-fable-5-1`	Anthropic	$13.00	$65.00	1M
`claude-sonnet-5`	Anthropic	$2.60	$13.00	1M
`gpt-6-astra`	OpenAI	$13.00	$65.00
`gpt-6-sol`	OpenAI	$2.60	$13.00
`gemini-3.1-pro-preview`	Google	$2.60	$15.60
`deepseek-v4-pro`	DeepSeek	$1.72	$5.15	1M
`claude-haiku-4-5`	Anthropic	$1.30	$6.50	200K
`gemini-3.8-flash`	Google	$0.98	$4.88
`glm-5.3`	Z.ai	$1.82	$5.72
`glm-5.3-flash`	Z.ai	$0.20	$0.65
`text-embedding-3-small`	OpenAI	$0.03	-	8K

bash

curl https://api.cyberhatak.arsana.cloud/v1/models -H "Authorization: Bearer $CYBERHATAK_API_KEY"

Embeddings

POST /v1/embeddings ba buka no RAG.

bash

curl https://api.cyberhatak.arsana.cloud/v1/embeddings \
  -H "Authorization: Bearer $CYBERHATAK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "text-embedding-3-small", "input": "Dili, Timor-Leste"}'

Saldu AI

Ita iha saldu rua. Saldu AI ba pedidu /v1 deit. Saldu konta ba VPS, domíniu no servisu seluk. Saldu ida la tun husi seluk.

Kada pedidu kobra: (token input × folin input + token output × folin output) / 1,000,000.
Bainhira Saldu AI $0, API fó erru 403 ho kódigu insufficient_user_quota too Ita tau saldu.
Haree uzu kada xave iha dashboard.

Erru

Kódigu	Signifika	Halo saida
401	Invalid or deleted key	Check `CYBERHATAK_API_KEY`
403 `insufficient_user_quota`	AI balance is $0	Top up the AI balance
503 / `model_not_found`	Unknown model	Use an id from `GET /v1/models`
429	Too many requests	Retry with backoff
5xx	Upstream provider error	Retry; switch model if it persists

Ba AI agent

Kopia prompt ne'e ba Claude Code, Cursor, Codex ka agent seluk. Agent sei lee dokumentu ne'e rasik no konfigura projetu.

prompt

Read https://cyberhatak.arsana.cloud/docs.md and integrate Cyberhatak AI into this project.
Use the OpenAI-compatible SDK with base URL https://api.cyberhatak.arsana.cloud/v1 and read the key from the env var CYBERHATAK_API_KEY. Do not hard-code the key.

Markdown mentah: https://cyberhatak.arsana.cloud/docs.md · Indise ba LLM: https://cyberhatak.arsana.cloud/llms.txt