import torch
from sneric.models import FoundationCore
from sneric.distributed import TensorParallel

# Initialize SnericAI reasoning engine
cluster = TensorParallel(gpus=8, interconnect="nvlink")

core_model = FoundationCore(
    vocab_size=128000,
    hidden_size=8192,
    num_attention_heads=64,
    use_flash_attention_v2=True
)

# Start asynchronous inference stream
async def generate_reasoning(prompt: str):
    tokens = tokenizer.encode(prompt)
    async for chunk in core_model.stream_generate(tokens):
        yield chunk.decode()