QYAI API Documentation

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-qyai-key",
    base_url="http://121.41.214.247/v1"
)

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Hello, QYAI!"}]
)

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

Authorization: Bearer sk-your-qyai-key

POST http://121.41.214.247/v1/chat/completions

{
  "model": "deepseek-v4-flash",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Explain quantum computing in one paragraph."}
  ],
  "temperature": 0.7,
  "stream": false
}

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1746000000,
  "model": "deepseek-v4-flash",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Quantum computing harnesses the principles..."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 87,
    "total_tokens": 105
  }
}

{
  "choices": [
    {
      "message": {
        "role": "assistant",
        "reasoning_content": "Let me think about this step by step...\nFirst, I need to consider...\nTherefore, the answer is...",
        "content": "The answer is 42."
      }
    }
  ]
}

data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","created":1746000000,"model":"deepseek-v4-flash","choices":[{"index":0,"delta":{"role":"assistant","content":""},"finish_reason":null}]}

data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","created":1746000000,"model":"deepseek-v4-flash","choices":[{"index":0,"delta":{"content":"Quantum"},"finish_reason":null}]}

data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","created":1746000000,"model":"deepseek-v4-flash","choices":[{"index":0,"delta":{"content":" computing"},"finish_reason":null}]}

data: {"id":"chatcmpl-abc123","object":"chat.completion.chunk","created":1746000000,"model":"deepseek-v4-flash","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]

GET http://121.41.214.247/v1/models

{
  "object": "list",
  "data": [
    {
      "id": "deepseek-v4-pro",
      "object": "model",
      "created": 1743465600,
      "owned_by": "qyai"
    },
    {
      "id": "deepseek-v4-flash",
      "object": "model",
      "created": 1743465600,
      "owned_by": "qyai"
    },
    {
      "id": "deepseek-chat",
      "object": "model",
      "created": 1743465600,
      "owned_by": "qyai"
    },
    {
      "id": "deepseek-reasoner",
      "object": "model",
      "created": 1743465600,
      "owned_by": "qyai"
    },
    {
      "id": "gpt-4o",
      "object": "model",
      "created": 1743465600,
      "owned_by": "qyai"
    },
    {
      "id": "gpt-4o-mini",
      "object": "model",
      "created": 1743465600,
      "owned_by": "qyai"
    }
  ]
}

GET http://121.41.214.247/v1/dashboard/billing/usage

{
  "object": "billing.usage",
  "key_prefix": "sk-abc...",
  "tier": "pro",
  "monthly_requests": 142,
  "monthly_limit": 3000,
  "remaining": 2858,
  "usage_percent": 4.7,
  "total_prompt_tokens": 52340,
  "total_completion_tokens": 12890
}

{
  "error": {
    "message": "Invalid API key provided",
    "type": "authentication_error"
  }
}

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-qyai-key",
    base_url="http://121.41.214.247/v1"
)

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Write a haiku about programming."}
    ],
    temperature=0.7,
)

print(response.choices[0].message.content)
print(f"Tokens used: {response.usage.total_tokens}")

from openai import OpenAI

client = OpenAI(
    api_key="sk-your-qyai-key",
    base_url="http://121.41.214.247/v1"
)

stream = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[
        {"role": "user", "content": "Explain recursion in 3 sentences."}
    ],
    stream=True,
)

for chunk in stream:
    if chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="", flush=True)

print()  # newline

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-your-qyai-key",
  baseURL: "http://121.41.214.247/v1",
});

const response = await client.chat.completions.create({
  model: "deepseek-v4-flash",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "Write a haiku about programming." },
  ],
  temperature: 0.7,
});

console.log(response.choices[0].message.content);
console.log(`Tokens used: ${response.usage.total_tokens}`);

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-your-qyai-key",
  baseURL: "http://121.41.214.247/v1",
});

const stream = await client.chat.completions.create({
  model: "deepseek-v4-flash",
  messages: [
    { role: "user", content: "Explain recursion in 3 sentences." },
  ],
  stream: true,
});

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content || "";
  process.stdout.write(content);
}
console.log(); // newline

curl http://121.41.214.247/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-your-qyai-key" \
  -d '{
    "model": "deepseek-v4-flash",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Write a haiku about programming."}
    ],
    "temperature": 0.7
  }'

curl http://121.41.214.247/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-your-qyai-key" \
  -d '{
    "model": "deepseek-v4-flash",
    "messages": [
      {"role": "user", "content": "Explain recursion in 3 sentences."}
    ],
    "stream": true
  }'