class_docstr: Anthropic has their own tokenizer.
class_docstr_tok: ["Anthropic","has","their","own","tokenizer","."]
docstr: Return the max sequence length of the Anthropic model.
  While the limits seems to be 8192, we limit to 8000
  according to Anthropic's recommendations.
  See: https://console.anthropic.com/docs/prompt-design
docstr_tok: ["Return","the","max","sequence","length","of","the","Anthropic","model",".","While","the","limits","seems","to","be","8192",",","we","limit","to","8000","according","to","Anthropic","'s","recommendations",".","See",":","https",":","\/\/console.anthropic.com\/docs\/prompt-design"]
code: def max_sequence_length(self) -> int:
      """
      Return the max sequence length of the Anthropic model.
      While the limits seems to be 8192, we limit to 8000
      according to Anthropic's recommendations.
      See: https://console.anthropic.com/docs/prompt-design
      """
      return 8000
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/window_services/anthropic_window_service.py
imports: from .gpt2_window_service import GPT2WindowService
  from .tokenizer_service import TokenizerService
label_desc: Use image node_id 2 for calling the AnthropicWindowService obj's underlying member method code with example usage: obj.max_sequence_length() and returns: int