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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Template with Jemalloc and Shapelearn Integration # ============================================================================== # This is a production-ready developer code asset that combines the power of # FastAPI, Pydantic v2, Jemalloc, and Shapelearn to create a high-performance # micro-SaaS application. from fastapi import FastAPI, HTTPException from pydantic import BaseModel import jemalloc import shapelearn from typing import List # Initialize the FastAPI application app = FastAPI() # Define a Pydantic model for the Shapelearn Qwen 3.8 27B model class ShapelearnModel(BaseModel): """Shapelearn Qwen 3.8 27B model""" model_name: str = "Shapelearn Qwen 3.8 27B" model_size: str = "13.1 GB VRAM" model_version: str = "3.8" # Define a Pydantic model for the AGENTS.md AI-Native SaaS Template class AgentsModel(BaseModel): """AGENTS.md AI-Native SaaS Template""" template_name: str = "AGENTS.md" template
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