Tài liệu tích hợp

curl https://htmustc.id.vn/v1/images/edits   -H "Authorization: Bearer mk-live-xxxxxxxxxxxxxxxxxxxx"   -H "Content-Type: application/json"   -d '{
    "model": "gpt-image-2",
    "prompt": "Keep the subject unchanged and replace the background with a cinematic neon city",
    "image": "https://example.com/source-image.jpg",
    "n": 1,
    "resolution": "2k",
    "aspect_ratio": "16:9"
  }'

curl https://htmustc.id.vn/v1/images/edits   -H "Authorization: Bearer mk-live-xxxxxxxxxxxxxxxxxxxx"   -H "Content-Type: application/json"   -d '{
    "model": "gpt-image-2",
    "prompt": "Place the person from the first image into the scene from the second image",
    "images": [
      "https://example.com/person.jpg",
      "https://example.com/background.jpg"
    ],
    "resolution": "2k",
    "aspect_ratio": "16:9"
  }'

curl https://htmustc.id.vn/v1/videos/generations   -H "Authorization: Bearer mk-live-xxxxxxxxxxxxxxxxxxxx"   -H "Content-Type: application/json"   -d '{
    "model": "gemini-omni-flash",
    "prompt": "A cinematic aerial shot of a futuristic Ho Chi Minh City at night",
    "seconds": "8",
    "resolution": "1080p",
    "aspect_ratio": "9:16"
  }'

curl https://htmustc.id.vn/v1/videos/generations   -H "Authorization: Bearer mk-live-xxxxxxxxxxxxxxxxxxxx"   -H "Content-Type: application/json"   -d '{
    "model": "gemini-omni-flash",
    "prompt": "Slow camera push-in, natural wind and cinematic lighting",
    "reference_images": ["https://example.com/source-image.jpg"],
    "seconds": "4",
    "aspect_ratio": "16:9"
  }'

from openai import OpenAI

client = OpenAI(base_url="https://htmustc.id.vn/v1", api_key="mk-live-xxxxxxxxxxxxxxxxxxxx")

with client.audio.speech.with_streaming_response.create(
    model="aura-2",
    voice="thalia-en",
    input="Hello! This is a text-to-speech test.",
    speed=1.1,
    response_format="mp3",
) as response:
    response.stream_to_file("speech.mp3")

import fs from "node:fs";
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://htmustc.id.vn/v1", apiKey: "mk-live-xxxxxxxxxxxxxxxxxxxx" });

const audio = await client.audio.speech.create({
  model: "aura-2",
  voice: "thalia-en",
  input: "Hello! This is a text-to-speech test.",
  speed: 1.1,
  response_format: "mp3",
});
fs.writeFileSync("speech.mp3", Buffer.from(await audio.arrayBuffer()));

curl https://htmustc.id.vn/v1/audio/transcriptions \
  -H "Authorization: Bearer mk-live-xxxxxxxxxxxxxxxxxxxx" \
  -F model=gemini-3.5-transcribe \
  -F file=@meeting.mp3

curl https://htmustc.id.vn/v1/audio/transcriptions \
  -H "Authorization: Bearer mk-live-xxxxxxxxxxxxxxxxxxxx" \
  -F model=nova-3 \
  -F file=@meeting.mp3 \
  -F response_format=verbose_json \
  -F variant=medical

from openai import OpenAI

client = OpenAI(base_url="https://htmustc.id.vn/v1", api_key="mk-live-xxxxxxxxxxxxxxxxxxxx")

with open("meeting.mp3", "rb") as f:
    result = client.audio.transcriptions.create(
        model="nova-3",
        file=f,
        response_format="verbose_json",
        extra_body={"variant": "medical"},
    )

print(result.text)
for seg in result.segments:
    print(f"{seg.start:.2f}-{seg.end:.2f}  {seg.text}")

import fs from "node:fs";
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://htmustc.id.vn/v1", apiKey: "mk-live-xxxxxxxxxxxxxxxxxxxx" });

const result = await client.audio.transcriptions.create({
  model: "nova-3",
  file: fs.createReadStream("meeting.mp3"),
  response_format: "verbose_json",
  variant: "medical",
});
console.log(result.text);

import requests

resp = requests.post(
    "https://htmustc.id.vn/v1/decisions",
    headers={"Authorization": "Bearer mk-live-xxxxxxxxxxxxxxxxxxxx"},
    json={
        "model": "jev-1.13.0",
        "state": "Customer message: My order arrived completely broken and I want my money back today.",
        "questions": {
            "refund": {"type": "noul", "instructions": "Is the customer asking for a refund?"},
            "urgency": {"type": "score", "instructions": "How urgent is this ticket?",
                        "criteria": ["low", "medium", "high"]},
        },
    },
    timeout=30,
)
resp.raise_for_status()
answers = resp.json()["answers"]
if answers["refund"]["noul"] > 0.8:
    print("refund request, urgency", answers["urgency"]["score"])

const res = await fetch("https://htmustc.id.vn/v1/decisions", {
  method: "POST",
  headers: { Authorization: "Bearer mk-live-xxxxxxxxxxxxxxxxxxxx", "Content-Type": "application/json" },
  body: JSON.stringify({
    model: "jev-1.13.0",
    state: "Customer message: My order arrived completely broken and I want my money back today.",
    questions: {
      topic: {
        type: "choice",
        instructions: "What is the ticket about?",
        criteria: { billing: "Payments, refunds", shipping: "Delivery, damage", account: "Login, profile" },
      },
    },
  }),
});
const { answers } = await res.json();
console.log(answers.topic.choice, answers.topic.confidence);