Parameters Reference

from openai import OpenAI

client = OpenAI(
    base_url="https://api.oxlo.ai/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek-v3.2",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing in simple terms."}
    ],
    temperature=0.9,
    max_tokens=1024,
    top_p=0.95,
    frequency_penalty=0.5,
    presence_penalty=0.3,
    stop=["\n\n"],
    seed=42
)

print(response.choices[0].message.content)

response = client.images.generate(
    model="oxlo-image-pro",
    prompt="A futuristic city skyline at sunset, cyberpunk style",
    negative_prompt="blurry, low quality",
    n=1,
    size="1024x1024"
)

image_b64 = response.data[0].b64_json

transcript = client.audio.transcriptions.create(
    model="whisper-large-v3",
    file=open("meeting.mp3", "rb"),
    language="en",
    response_format="verbose_json"
)

print(transcript.text)

response = client.audio.speech.create(
    model="kokoro-82m",
    input="Hello, welcome to Oxlo AI.",
    voice="af_heart",
    speed=1.0
)

with open("output.wav", "wb") as f:
    f.write(response.content)

import requests, base64

with open("photo.jpg", "rb") as f:
    image_b64 = base64.b64encode(f.read()).decode()

response = requests.post(
    "https://api.oxlo.ai/v1/detect",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "image": image_b64,
        "model": "yolo11x.pt",
        "confidence": 0.3,
        "iou_threshold": 0.5
    }
)

for det in response.json()["detections"]:
    print(f"{det['class_name']}: {det['confidence']:.2f}")

response = client.embeddings.create(
    model="bge-large",
    input=["Search query here", "Document text here"]
)

for item in response.data:
    print(f"Embedding dim: {len(item.embedding)}")

{
  "model_id": "deepseek-v3.2",
  "model_name": "DeepSeek V3.2",
  "category": "chat",
  "context_length": 128000,
  "parameters": {
    "temperature": {
      "type": "float",
      "min": 0,
      "max": 2,
      "default": 0.7,
      "step": 0.1,
      "section": "basic",
      "description": "Controls randomness in output generation"
    },
    "top_k": {
      "type": "int",
      "min": 0,
      "max": 500,
      "default": 0,
      "section": "advanced",
      "description": "Only sample from top K tokens (0 = disabled)"
    }
  }
}