class_docstr: Integration with the Anthropic LLM Python Library
class_docstr_tok: ["Integration","with","the","Anthropic","LLM","Python","Library"]
code: def __init__(self, *args, **kwargs):
      super().__init__(*args, **kwargs)
      self.default_chat_model = "claude-2"
      self.supported_chat_models = ["claude-1", "claude-2"]
      self.default_max_tokens = 100
      self.generative = True
      self.connection = None
  
file_path: mindsdb/mindsdb/integrations/handlers/anthropic_handler/anthropic_handler.py
imports: import os
  from typing import Dict, Optional
  import pandas
  from anthropic import AI_PROMPT, HUMAN_PROMPT, Anthropic
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.utilities import log
  from mindsdb.utilities.config import Config
label_desc: Use image node_id 1 to create a new AnthropicHandler object from inherited base classes: BaseMLEngine with example: obj = AnthropicHandler()