affinefoundation/affine-env repository overview

import affinetes as af
import asyncio
import os

async def main():
    # Load environment from Docker Hub
    env = af.load_env(
        image="affinefoundation/affine:v4",
        env_vars={"CHUTES_API_KEY": os.getenv("CHUTES_API_KEY")}
    )
    
    # Evaluate on a SAT task
    result = await env.evaluate(
        task_type="sat",
        model="deepseek-ai/DeepSeek-V3",
        base_url="https://llm.chutes.ai/v1",
        task_id=42  # Optional: for deterministic task generation
    )
    
    print(f"Score: {result['score']}")
    print(f"Success: {result['success']}")
    
    await env.cleanup()

asyncio.run(main())

import affinetes as af
import asyncio
import os

async def main():
    # Build image from local environment directory
    image_tag = af.build_image_from_env(
        env_path="environments/affine",
        image_tag="affine:latest"
    )
    
    # Load environment
    env = af.load_env(
        image=image_tag,
        env_vars={"CHUTES_API_KEY": os.getenv("CHUTES_API_KEY")}
    )
    
    # Evaluate on different task types
    # SAT task
    result = await env.evaluate(
        task_type="sat",
        model="deepseek-ai/DeepSeek-V3",
        base_url="https://llm.chutes.ai/v1",
        task_id=42
    )
    
    # ABD task
    result = await env.evaluate(
        task_type="abd",
        model="deepseek-ai/DeepSeek-V3",
        task_id=100
    )
    
    # DED task
    result = await env.evaluate(
        task_type="ded",
        model="deepseek-ai/DeepSeek-V3",
        task_id=200
    )
    
    await env.cleanup()

asyncio.run(main())