Model Routing in Python: Cut Your AI API Costs by 70%

Model Routing in Python

A practical guide to reducing AI costs by routing tasks to appropriate models.

Simple Example

from openai import OpenAI
client = OpenAI(base_url="https://api.tunanapi.com/v1", api_key="your-key")

# Route based on task complexity
def complete(prompt, complexity="simple"):
    model = {"simple": "glm-4-flash", "complex": "deepseek-v4-pro"}[complexity]
    return client.chat.completions.create(model=model, messages=[{"role": "user", "content": prompt}])

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