מדריך מקיף ל-AI API: מהבסיס ועד להטמעה מלאה

# קובץ .env
OPENAI_API_KEY="sk-proj-your-secret-key-here"
ANTHROPIC_API_KEY="sk-ant-your-secret-key-here"

# Python - טעינת המפתחות
import os
from dotenv import load_dotenv

load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")

import requests
import json

url = "https://api.openai.com/v1/chat/completions"

headers = {
  "Authorization": f"Bearer {api_key}",
  "Content-Type": "application/json"
}

payload = {
  "model": "gpt-4",
  "messages": [
    {
      "role": "system",
      "content": "אתה עוזר מועיל ומקצועי"
    },
    {
      "role": "user",
      "content": "הסבר לי מה זה machine learning"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1000
}

response = requests.post(url, headers=headers, json=payload)

import time
import random

def make_api_request_with_retry(url, headers, payload, max_retries=3):
  for attempt in range(max_retries):
    try:
      response = requests.post(url, headers=headers, json=payload)
      
      if response.status_code == 200:
        # הצלחה - חילוץ התוכן
        data = response.json()
        return data['choices'][0]['message']['content']
      
      elif response.status_code == 429:
        # Rate limit - המתנה והמשך
        wait_time = (2 ** attempt) + random.uniform(0, 1)
        print(f"Rate limited. Waiting {wait_time:.2f} seconds...")
        time.sleep(wait_time)
      
      elif response.status_code == 401:
        raise Exception("Invalid API key or insufficient permissions")
      
      else:
        raise Exception(f"API error: {response.status_code} - {response.text}")
    
    except requests.exceptions.RequestException as e:
      print(f"Network error on attempt {attempt + 1}: {e}")
      if attempt == max_retries - 1:
        raise
  
  raise Exception("Max retries exceeded")