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    Pythonlangchain-classicagentsself_ask_with_searchbase
    Moduleā—Since v1.0

    base

    Attributes

    Functions

    Classes

    View source on GitHub
    attribute
    PROMPT
    function
    format_log_to_str
    function
    validate_tools_single_input
    function
    create_self_ask_with_search_agent
    class
    AgentExecutor
    class
    AgentOutputParser
    class
    SelfAskOutputParser
    deprecatedclass
    Agent
    deprecatedclass
    AgentType
    deprecatedclass
    SelfAskWithSearchAgent
    deprecatedclass
    SelfAskWithSearchChain

    Chain that does self-ask with search.

    Construct the scratchpad that lets the agent continue its thought process.

    Validate tools for single input.

    Create an agent that uses self-ask with search prompting.

    Agent that is using tools.

    Base class for parsing agent output into agent action/finish.

    Agent that calls the language model and deciding the action.

    This is driven by a LLMChain. The prompt in the LLMChain MUST include a variable called "agent_scratchpad" where the agent can put its intermediary work.

    An enum for agent types.

    Agent for the self-ask-with-search paper.

    [Deprecated] Chain that does self-ask with search.

    Parses self-ask style LLM calls.

    Expects output to be in one of two formats.

    If the output signals that an action should be taken, should be in the below format. This will result in an AgentAction being returned.

    Thoughts go here...
    Follow up: what is the temperature in SF?
    

    If the output signals that a final answer should be given, should be in the below format. This will result in an AgentFinish being returned.

    Thoughts go here...
    So the final answer is: The temperature is 100 degrees