motleycrew.agents.langchain.legacy_react

Classes

LegacyReActMotleyAgent(tools[, description, ...])

Basic ReAct agent compatible with older models without dedicated tool calling support.
class motleycrew.agents.langchain.legacy_react.LegacyReActMotleyAgent(tools: Sequence[MotleySupportedTool], description: str | None = None, name: str | None = None, prompt: str | None = None, chat_history: bool | GetSessionHistoryCallable = True, force_output_handler: bool = False, internal_prompt: str | None = None, handle_parsing_errors: bool = True, handle_tool_errors: bool = True, llm: BaseLanguageModel | None = None, runnable_config: RunnableConfig | None = None, verbose: bool = False)

Bases: LangchainMotleyAgent

Basic ReAct agent compatible with older models without dedicated tool calling support.

It’s probably better to use the more advanced motleycrew.agents.langchain.tool_calling_react.ReActToolCallingAgent with newer models.

__init__(tools: Sequence[MotleySupportedTool], description: str | None = None, name: str | None = None, prompt: str | None = None, chat_history: bool | GetSessionHistoryCallable = True, force_output_handler: bool = False, internal_prompt: str | None = None, handle_parsing_errors: bool = True, handle_tool_errors: bool = True, llm: BaseLanguageModel | None = None, runnable_config: RunnableConfig | None = None, verbose: bool = False)
Parameters:

  • tools – Tools to add to the agent.

  • description – Description of the agent.

  • name – Name of the agent.

  • prompt – Prompt for the agent. If a string, it will be used as a prompt. If a string containing f-string-style placeholders, it will be used as a prompt template.

  • chat_history – Whether to use chat history or not.

  • force_output_handler – Whether to force the agent to return through an output handler.

  • internal_prompt – Internal prompt to use with the agent.

  • handle_parsing_errors – Whether to handle parsing errors.

  • handle_tool_errors – Whether to handle tool errors.

  • llm – Language model to use.

  • runnable_config – Default Langchain config to use when invoking the agent. It can be used to add callbacks, metadata, etc.

  • verbose – Whether to log verbose output.