AI Dev Tool: PhotonEmissionGuided Laser Fault Injection

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Preview Code

```python
# AI Dev Tool: LLM Cache-to-Cache Semantic Communication API
# Description: A production-ready API integration wrapper for direct semantic communication between LLMs
# Category: API Integration Wrapper
# Tags: LLM, Cache-to-Cache, Semantic Communication, API Integration

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

# Define the LLM model and tokenizer
model_name = "t5-base"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

# Define the API app
app = FastAPI()

# Define the request and response models
class LLMRequest(BaseModel):
    """LLM request model"""
# ... full runnable version includes tests & documentation