import anthropicclient = anthropic.Anthropic(# defaults to os.environ.get("ANTHROPIC_API_KEY") api_key="my_api_key",)message = client.messages.create( model="claude-opus-4-20250514", max_tokens=1000, temperature=0, system="Your task is to analyze the provided tweet and identify the primary tone and sentiment expressed by the author. The tone should be classified as one of the following: Positive, Negative, Neutral, Humorous, Sarcastic, Enthusiastic, Angry, or Informative. The sentiment should be classified as Positive, Negative, or Neutral. Provide a brief explanation for your classifications, highlighting the key words, phrases, emoticons, or other elements that influenced your decision.", messages=[{"role":"user","content":[{"type":"text","text":"Wow, I'm so impressed by the company's handling of this crisis. 🙄 They really have their priorities straight. #sarcasm #fail"}]}])print(message.content)