class_docstr: This is the window service for the legacy Anthropic client.
  Please consider using the new Anthropic client with the AnthropicWindowService.
  Anthropic has their own tokenizer based on the GPT-2 tokenizer.
  This tokenizer is not publicly available, so approximate with the GPT-2 tokenizer.
class_docstr_tok: ["This","is","the","window","service","for","the","legacy","Anthropic","client",".","Please","consider","using","the","new","Anthropic","client","with","the","AnthropicWindowService",".","Anthropic","has","their","own","tokenizer","based","on","the","GPT-2","tokenizer",".","This","tokenizer","is","not","publicly","available",",","so","approximate","with","the","GPT-2","tokenizer","."]
docstr: Return the max sequence length of the Anthropic model.
docstr_tok: ["Return","the","max","sequence","length","of","the","Anthropic","model","."]
code: def max_sequence_length(self) -> int:
      """Return the max sequence length of the Anthropic model."""
      return 8192
  
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 LegacyAnthropicWindowService obj's underlying member method code with example usage: obj.max_sequence_length() and returns: int