# Create a virtual environment
python -m venv venv

# Activate environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

# Install official SDK and dot-env for configuration
pip install anthropic python-dotenv

# Initialize project
npm init -y

# Install official SDK and dotenv
npm install @anthropic-ai/sdk dotenv

# For TypeScript users
npm install --save-dev typescript ts-node @types/node
npx tsc --init

import os
import anthropic
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()

class AIClient:
    def __init__(self):
        # Initialize the client with error handling for missing keys
        api_key = os.getenv("ANTHROPIC_API_KEY")
        if not api_key:
            raise ValueError("Missing ANTHROPIC_API_KEY in environment variables")
        
        self.client = anthropic.Anthropic(api_key=api_key)
        # We use a generic model ID to allow for easy switching
        self.model_id = os.getenv("AI_MODEL_ID", "claude-3-5-sonnet-20240620")

    def generate_response(self, prompt: str, system_prompt: str = "You are a helpful assistant.") -> str:
        """
        Sends a prompt to the LLM with comprehensive error handling.
        """
        try:
            message = self.client.messages.create(
                model=self.model_id,
                max_tokens=1024,
                system=system_prompt,
                messages=[
                    {"role": "user", "content": prompt}
                ]
            )
            return message.content[0].text
        
        except anthropic.APIConnectionError as e:
            return f"Connection Error: Could not connect to Anthropic servers. {e}"
        except anthropic.RateLimitError as e:
            return f"Rate Limit Error: Too many requests. {e}"
        except anthropic.APIStatusError as e:
            return f"API Error: {e.status_code} - {e.message}"
        except Exception as e:
            return f"An unexpected error occurred: {str(e)}"

if __name__ == "__main__":
    # Execution Block
    ai = AIClient()
    user_input = "Explain the implications of model classification in AI."
    
    print("--- Sending Request ---")
    response = ai.generate_response(user_input)
    print(f"Response:\n{response}")

import Anthropic from '@anthropic-ai/sdk';
import * as dotenv from 'dotenv';

dotenv.config();

interface AIResponse {
    success: boolean;
    data?: string;
    error?: string;
}

class AIHandler {
    private client: Anthropic;
    private model: string;

    constructor() {
        const apiKey = process.env.ANTHROPIC_API_KEY;
        if (!apiKey) {
            throw new Error("ANTHROPIC_API_KEY is not defined in .env");
        }

        this.client = new Anthropic({ apiKey });
        // Fallback model logic for resilience
        this.model = process.env.AI_MODEL_ID || 'claude-3-5-sonnet-20240620';
    }

    public async ask(prompt: string, system?: string): Promise<AIResponse> {
        try {
            const response = await this.client.messages.create({
                model: this.model,
                max_tokens: 1024,
                system: system || "You are a professional technical assistant.",
                messages: [{ role: 'user', content: prompt }],
            });

            return {
                success: true,
                data: response.content[0].type === 'text' ? response.content[0].text : ''
            };
        } catch (error: any) {
            // Log error for internal monitoring
            console.error(`[AI_ERROR]: ${error.message}`);
            
            return {
                success: false,
                error: error.statusText || error.message || "Unknown error"
            };
        }
    }
}

// Main Execution
async function run() {
    const handler = new AIHandler();
    const result = await handler.ask("What is the impact of AI regulation on developers?");

    if (result.success) {
        console.log("AI Response:", result.data);
    } else {
        console.error("Failed to fetch AI response:", result.error);
    }
}

run();

# Primary API Key
ANTHROPIC_API_KEY=sk-ant-api03-xxxxxxxxxxxxxxxxxxxxxxxxxxxx

# Model Selection
# Use specific model IDs. If a model is restricted, 
# change this to a fallback model (e.g., claude-3-haiku).
AI_MODEL_ID=claude-3-5-sonnet-20240620

# Environment Settings
NODE_ENV=development
LOG_LEVEL=info