الكلام مع LLMs بالكود

pip install anthropic python-dotenv
# Get an API key from the Claude Console (console.anthropic.com)

ANTHROPIC_API_KEY=sk-ant-xxxxxxxxxxxxxxxx

from dotenv import load_dotenv
import anthropic

load_dotenv()                        # loads ANTHROPIC_API_KEY from .env
client = anthropic.Anthropic()       # picks up the key automatically

message = client.messages.create(
    model="claude-sonnet-5",
    max_tokens=500,                  # max length of the reply
    system="You are a friendly assistant for an Egyptian online store. Reply in Egyptian Arabic.",
    messages=[
        {"role": "user", "content": "عندكم شحن لأسوان؟"},
    ],
)

print(message.content[0].text)
print("tokens:", message.usage.input_tokens, "in /", message.usage.output_tokens, "out")

from dotenv import load_dotenv
import anthropic

load_dotenv()
client = anthropic.Anthropic()
history = []

while True:
    user_text = input("You: ")
    if user_text.lower() in ("exit", "quit"):
        break
    history.append({"role": "user", "content": user_text})

    reply = client.messages.create(
        model="claude-sonnet-5",
        max_tokens=800,
        messages=history,            # send the WHOLE conversation every time
    )
    answer = reply.content[0].text
    history.append({"role": "assistant", "content": answer})
    print("Claude:", answer)

from dotenv import load_dotenv
import anthropic

load_dotenv()
client = anthropic.Anthropic()

with client.messages.stream(
    model="claude-sonnet-5",
    max_tokens=500,
    messages=[{"role": "user", "content": "اشرحلي الـ embeddings في ٣ جمل"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)   # print each piece as it arrives
print()