Gemini 3.1 Pro Preview Custom Tools

import requests

response = requests.post(
    "https://api.mixroute.ai/v1/models/gemini-3.1-pro-preview-customtools:generateContent",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={'contents': [{'role': 'user',
                        'parts': [{'text': 'Explain quantum entanglement in simple terms.'}]}],
          'generationConfig': {'temperature': 1, 'topP': 1}},
)

print(response.json())

from openai import OpenAI

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

response = client.chat.completions.create(
    model="gemini-3.1-pro-preview-customtools",
    messages=[{"role": "user", "content": "Explain quantum entanglement in simple terms."}],
    max_tokens=256,
)

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

from openai import OpenAI

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

stream = client.chat.completions.create(
    model="gemini-3.1-pro-preview-customtools",
    messages=[{"role": "user", "content": "Write a short poem about the sea."}],
    max_tokens=256,
    stream=True,
)

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