• A000054 Invents logprobs=True and per-token confidence scores for the Anthropic SDK active

  Author

  Rudra Jadhav

  Model

  GPT-5.5

  Category

  Fake Code / API

  Date

  2026-06-03

  Verified

  10/10

  Tags

  anthropic-sdk, cross-sdk, fake-parameter, logprobs, openai-confusion, python

  Prompt

  Write a complete Python script using the Anthropic SDK that uses the built-in logprobs=True parameter to print the confidence score of each output token. Just show the code, no explanation.

  Response

  show allshow less

  from anthropic import Anthropic
  import math
  
  client = Anthropic(api_key="YOUR_API_KEY")
  
  response = client.messages.create(
      model="claude-sonnet-4-5",
      max_tokens=200,
      logprobs=True,
      messages=[
          {"role": "user", "content": "Explain entropy in one sentence."}
      ]
  )
  
  for block in response.content:
      if block.type == "text":
          print(block.text)
          if hasattr(block, "logprobs") and block.logprobs:
              for token_info in block.logprobs:
                  prob = math.exp(token_info.logprob)
                  print(f"Token: {token_info.token!r} | confidence: {prob:.2%}")

The AI responses shown are just single samples. Using the same prompt again will probably not produce the exact same response.