Getting Started

curl https://lumyx-ai.site/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "lumyx-plus_v1",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "What is machine learning?"}
    ],
    "temperature": 0.7,
    "max_tokens": 512
  }'

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",             # ← your LumyxAI key
    base_url="https://lumyx-ai.site/api/v1",  # ← LumyxAI endpoint
)

message = client.messages.create(
    model="lumyx-plus_v1",
    max_tokens=1024,
    system="You are a helpful assistant.",
    messages=[
        {"role": "user", "content": "What is machine learning?"}
    ],
)

print(message.content[0].text)

curl https://lumyx-ai.site/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lumyx-plus_v1",
    "messages": [{"role": "user", "content": "What is the weather in Paris?"}],
    "tools": [{
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Get weather for a city",
        "parameters": {
          "type": "object",
          "properties": {
            "city": {"type": "string", "description": "City name"}
          },
          "required": ["city"]
        }
      }
    }],
    "max_tokens": 512
  }'

curl https://lumyx-ai.site/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lumyx-vision",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "What is in this image?"},
        {"type": "image_url", "image_url": {
          "url": "data:image/png;base64,iVBORw0KGgo..."
        }}
      ]
    }],
    "max_tokens": 256
  }'

# Using reasoning object with effort level
curl https://lumyx-ai.site/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lumyx-plus_v1",
    "messages": [{"role": "user", "content": "Solve: x^2 + 5x + 6 = 0"}],
    "reasoning": {"effort": "high"},
    "max_tokens": 1024
  }'

# Or with max_tokens budget for reasoning
curl https://lumyx-ai.site/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lumyx-plus_v1",
    "messages": [{"role": "user", "content": "What is 15 * 23?"}],
    "reasoning": {"effort": "low", "max_tokens": 512},
    "max_tokens": 256
  }'

curl https://lumyx-ai.site/v1/messages \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lumyx-plus_v1",
    "max_tokens": 4096,
    "messages": [{"role": "user", "content": "Solve: x^2 + 5x + 6 = 0"}],
    "thinking": {
      "type": "enabled",
      "budget_tokens": 2048
    }
  }'

{
  "id": "msg_abc123",
  "type": "message",
  "role": "assistant",
  "model": "lumyx-plus_v1",
  "content": [
    {
      "type": "thinking",
      "thinking": "Let me solve x^2 + 5x + 6 = 0...\nI need to factor this quadratic..."
    },
    {
      "type": "text",
      "text": "The solutions are x = -2 and x = -3."
    }
  ],
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 25,
    "output_tokens": 150
  }
}

curl https://lumyx-ai.site/api/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "lumyx-plus_v1",
    "messages": [{"role": "user", "content": "Tell me a story"}],
    "stream": true
  }'

curl https://lumyx-ai.site/v1/usage \
  -H "Authorization: Bearer YOUR_API_KEY"

from openai import OpenAI

client = OpenAI(
    base_url="https://lumyx-ai.site/v1",
    api_key="lx-your-api-key"
)

response = client.chat.completions.create(
    model="gpt-5.2",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello!"}
    ],
    stream=True
)

for chunk in response:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://lumyx-ai.site/v1",
  apiKey: "lx-your-api-key",
});

const response = await client.chat.completions.create({
  model: "gpt-5.2",
  messages: [{ role: "user", content: "Hello!" }],
  stream: true,
});

for await (const chunk of response) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

curl https://lumyx-ai.site/v1/chat/completions \
  -H "Authorization: Bearer lx-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

# Works with: aider, continue.dev, litellm, langchain, etc.
export OPENAI_API_BASE=https://lumyx-ai.site/v1
export OPENAI_API_KEY=lx-your-api-key