pip install openai

import openai
 
# تعيين مفتاح API
openai.api_key = "YOUR_API_KEY"
 
# إرسال طلب إلى GPT-5
response = openai.ChatCompletion.create(
    model="gpt-5",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "ما هي عاصمة فرنسا؟"}
    ]
)
 
# طباعة الرد
print(response.choices[0].message.content)

npm install openai

import OpenAI from "openai";
 
const openai = new OpenAI({
    apiKey: "YOUR_API_KEY"
});
 
async function main() {
    const response = await openai.chat.completions.create({
        model: "gpt-5",
        messages: [
            { role: "system", content: "You are a helpful assistant." },
            { role: "user", content: "ما هي عاصمة فرنسا؟" }
        ]
    });
    console.log(response.choices[0].message.content);
}
 
main();

import openai
 
openai.api_key = "YOUR_API_KEY"
 
response = openai.ChatCompletion.create(
    model="gpt-5",
    messages=[
        {"role": "system", "content": "You are a helpful assistant that speaks Arabic."},
        {"role": "user", "content": "اكتب مقالاً قصيراً عن الذكاء الاصطناعي."}
    ],
    temperature=0.8,
    max_tokens=500,
    top_p=0.9,
    frequency_penalty=0.5,
    presence_penalty=0.5,
    stream=False
)
 
print(response.choices[0].message.content)

# مساعد رسمي
{"role": "system", "content": "You are a professional assistant that provides formal and accurate responses."}
 
# مساعد غير رسمي
{"role": "system", "content": "You are a friendly and casual assistant that speaks like a friend."}
 
# مساعد متخصص
{"role": "system", "content": "You are a Python expert. Provide code examples and explanations."}
 
# مساعد بالعربية
{"role": "system", "content": "أنت مساعد ذكي تتحدث العربية الفصحى. قدم إجابات مفصلة ومفيدة."}

import openai
 
openai.api_key = "YOUR_API_KEY"
 
response = openai.ChatCompletion.create(
    model="gpt-5",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "اكتب قصة قصيرة."}
    ],
    stream=True
)
 
for chunk in response:
    if chunk.choices[0].delta.get("content"):
        print(chunk.choices[0].delta.content, end="")

import time
import openai
 
def call_api_with_retry(messages, max_retries=3):
    for attempt in range(max_retries):
        try:
            response = openai.ChatCompletion.create(
                model="gpt-5",
                messages=messages
            )
            return response
        except openai.error.RateLimitError:
            wait_time = 2 ** attempt  # 1, 2, 4 ثوانٍ
            time.sleep(wait_time)
    raise Exception("Max retries exceeded")

import os
openai.api_key = os.getenv("OPENAI_API_KEY")

import openai
 
try:
    response = openai.ChatCompletion.create(
        model="gpt-5",
        messages=[{"role": "user", "content": "Hello"}]
    )
except openai.error.AuthenticationError:
    print("مفتاح API غير صحيح")
except openai.error.RateLimitError:
    print("تجاوزت حدود المعدل، انتظر قليلاً")
except openai.error.APIError:
    print("حدث خطأ في الخادم، حاول مرة أخرى")

# استخدم إصداراً محدداً لضمان الاتساق
model = "gpt-5-2025-04"  # مثال على إصدار محدد

import openai
 
openai.api_key = "YOUR_API_KEY"
 
def chat_with_gpt5(user_message, history=[]):
    messages = [{"role": "system", "content": "You are a helpful assistant."}]
    messages.extend(history)
    messages.append({"role": "user", "content": user_message})
    
    response = openai.ChatCompletion.create(
        model="gpt-5",
        messages=messages,
        temperature=0.7
    )
    
    assistant_message = response.choices[0].message.content
    history.append({"role": "user", "content": user_message})
    history.append({"role": "assistant", "content": assistant_message})
    
    return assistant_message, history
 
# الاستخدام
history = []
reply, history = chat_with_gpt5("ما هي عاصمة فرنسا؟", history)
print(reply)

import openai
 
openai.api_key = "YOUR_API_KEY"
 
def analyze_sentiment(text):
    response = openai.ChatCompletion.create(
        model="gpt-5",
        messages=[
            {"role": "system", "content": "You are a sentiment analysis expert."},
            {"role": "user", "content": f"حلل المشاعر في هذا النص وأعطِ نتيجة (إيجابي، سلبي، محايد) مع نسبة مئوية:\n\n{text}"}
        ],
        temperature=0.3
    )
    return response.choices[0].message.content
 
# الاستخدام
result = analyze_sentiment("أنا سعيد جداً بهذا المنتج الرائع!")
print(result)

import openai
 
openai.api_key = "YOUR_API_KEY"
 
def summarize_text(text, max_length=100):
    response = openai.ChatCompletion.create(
        model="gpt-5",
        messages=[
            {"role": "system", "content": "You are a summarization expert."},
            {"role": "user", "content": f"لخص النص التالي في {max_length} كلمة:\n\n{text}"}
        ],
        max_tokens=max_length * 2
    )
    return response.choices[0].message.content
 
# الاستخدام
long_text = "..."  # نص طويل
summary = summarize_text(long_text, 150)
print(summary)