Source code for langchain.agents.agent_types
"""Module definitions of agent types together with corresponding agents."""
from enum import Enum
[docs]class AgentType(str, Enum):
    """An enum for agent types.
    See documentation: https://python.langchain.com/docs/modules/agents/agent_types/
    """
    ZERO_SHOT_REACT_DESCRIPTION = "zero-shot-react-description"
    """A zero shot agent that does a reasoning step before acting."""
    REACT_DOCSTORE = "react-docstore"
    """A zero shot agent that does a reasoning step before acting.
    
    This agent has access to a document store that allows it to look up 
    relevant information to answering the question.
    """
    SELF_ASK_WITH_SEARCH = "self-ask-with-search"
    """An agent that breaks down a complex question into a series of simpler questions.
    
    This agent uses a search tool to look up answers to the simpler questions
    in order to answer the original complex question.
    """
    CONVERSATIONAL_REACT_DESCRIPTION = "conversational-react-description"
    CHAT_ZERO_SHOT_REACT_DESCRIPTION = "chat-zero-shot-react-description"
    """A zero shot agent that does a reasoning step before acting.
    
    This agent is designed to be used in conjunction 
    """
    CHAT_CONVERSATIONAL_REACT_DESCRIPTION = "chat-conversational-react-description"
    STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION = (
        "structured-chat-zero-shot-react-description"
    )
    """An zero-shot react agent optimized for chat models.
    
    This agent is capable of invoking tools that have multiple inputs.
    """
    OPENAI_FUNCTIONS = "openai-functions"
    """An agent optimized for using open AI functions."""
    OPENAI_MULTI_FUNCTIONS = "openai-multi-functions"