API プロトコル

from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.lmuai.com",
    api_key="sk-xxxxxxxx",
)

resp = client.messages.create(
    model="claude-sonnet-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.content[0].text)

curl -X POST https://api.lmuai.com/v1/messages \
  -H "Authorization: Bearer sk-xxxxxxxx" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-5",
    "max_tokens": 1024,
    "messages": [{"role":"user","content":"Hello"}]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.lmuai.com/v1",
    api_key="sk-xxxxxxxx",
)

resp = client.chat.completions.create(
    model="gpt-5.6-sol",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

curl -X POST https://api.lmuai.com/v1/chat/completions \
  -H "Authorization: Bearer sk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-sol",
    "messages": [{"role":"user","content":"Hello"}]
  }'

x-goog-api-key: YOUR_API_KEY

curl --request POST \
  'https://api.lmuai.com/v1beta/models/gemini-3.1-flash-image:generateContent' \
  -H 'x-goog-api-key: YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "contents": [{
      "role": "user",
      "parts": [{"text": "an orange cat wearing an astronaut helmet"}]
    }],
    "generationConfig": {
      "responseModalities": ["TEXT", "IMAGE"],
      "imageConfig": {"aspectRatio": "1:1", "imageSize": "1K"}
    }
  }'