class_docstr: Teachability uses a vector database to give an agent the ability to remember user teachings,
  where the user is any caller (human or not) sending messages to the teachable agent.
  Teachability is designed to be composable with other agent capabilities.
  To make any conversable agent teachable, instantiate both the agent and the Teachability class,
  then pass the agent to teachability.add_to_agent(agent).
  Note that teachable agents in a group chat must be given unique path_to_db_dir values.
class_docstr_tok: ["Teachability","uses","a","vector","database","to","give","an","agent","the","ability","to","remember","user","teachings",",","where","the","user","is","any","caller","(","human","or","not",")","sending","messages","to","the","teachable","agent",".","Teachability","is","designed","to","be","composable","with","other","agent","capabilities",".","To","make","any","conversable","agent","teachable",",","instantiate","both","the","agent","and","the","Teachability","class",",","then","pass","the","agent","to","teachability.add_to_agent","(","agent",")",".","Note","that","teachable","agents","in","a","group","chat","must","be","given","unique","path_to_db_dir","values","."]
docstr: Adds teachability to the given agent.
docstr_tok: ["Adds","teachability","to","the","given","agent","."]
code: def add_to_agent(self, agent: ConversableAgent):
      """Adds teachability to the given agent."""
      self.teachable_agent = agent
  
      # Register a hook for processing the last message.
      agent.register_hook(
          hookable_method=agent.process_last_message,
          hook=self.process_last_message,
      )
  
      # Was an llm_config passed to the constructor?
      if self.llm_config is None:
          # No. Use the agent's llm_config.
          self.llm_config = agent.llm_config
      assert (
          self.llm_config
      ), "Teachability requires a valid llm_config."
  
      # Create the analyzer agent.
      self.analyzer = TextAnalyzerAgent(llm_config=self.llm_config)
  
      # Append extra info to the system message.
      agent.update_system_message(
          agent.system_message
          + "\nYou've been given the special ability to remember user teachings from prior conversations."
      )
  
imports: import os
  from autogen.agentchat.assistant_agent import ConversableAgent
  from autogen.agentchat.contrib.capabilities.agent_capability import AgentCapability
  from autogen.agentchat.contrib.text_analyzer_agent import TextAnalyzerAgent
  from typing import Dict, Optional, Union, List, Tuple, Any
  import chromadb
  from chromadb.config import Settings
  import pickle
label_desc: Use image node_id 2 for calling the Teachability obj's underlying member method code with example usage: obj.add_to_agent(agent) without return types