langchain.agents.agent_types.AgentType¶
- class langchain.agents.agent_types.AgentType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]¶
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'¶