⚡ Live Sandbox: AI Dev Tool: Thinking Fast and Slow

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with Ember-1 and Imp Integration
# =====================================================================================
# This is a high-demand, production-ready developer code asset for building micro-SaaS applications
# using FastAPI, Pydantic v2, Ember-1, and Imp. It provides a robust and scalable boilerplate
# for developing AI-powered APIs with metacognition capabilities.

from fastapi import FastAPI, Depends
from pydantic import BaseModel
from typing import List
import imp

# Initialize the FastAPI application
app = FastAPI()

# Define a Pydantic model for the API request body
class AIRequest(BaseModel):
    """AI Request Model"""
    input_text: str
    context: str

# Define a Pydantic model for the API response body
class AIResponse(BaseModel):
    """AI Response Model"""
    output_text: str
    confidence: float

# Load the Imp library (full port of DSPy to the BEAM)
imp.load_source('imp', 'imp.py')

# Define an Ember-1 metacognition model
class MetacognitionModel:
    """Metacognition Model"""
    def __init__(self):
        self

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