LangChain Reference home pageLangChain ReferenceLangChain Reference
  • GitHub
  • Main Docs
Deep Agents
LangChain
LangGraph
Integrations
LangSmith
  • Overview
  • MCP Adapters
    • Overview
    • Agents
    • Callbacks
    • Chains
    • Chat models
    • Embeddings
    • Evaluation
    • Globals
    • Hub
    • Memory
    • Output parsers
    • Retrievers
    • Runnables
    • LangSmith
    • Storage
    Standard Tests
    Text Splitters
    ⌘I

    LangChain Assistant

    Ask a question to get started

    Enter to send•Shift+Enter new line

    Menu

    MCP Adapters
    OverviewAgentsCallbacksChainsChat modelsEmbeddingsEvaluationGlobalsHubMemoryOutput parsersRetrieversRunnablesLangSmithStorage
    Standard Tests
    Text Splitters
    Language
    Theme
    Pythonlangchain-classicchainsnatbotbase
    Module●Since v1.0

    base

    Implement an LLM driven browser.

    Attributes

    attribute
    PROMPT

    Classes

    class
    Chain

    Abstract base class for creating structured sequences of calls to components.

    Chains should be used to encode a sequence of calls to components like models, document retrievers, other chains, etc., and provide a simple interface to this sequence.

    deprecatedclass
    NatBotChain

    Implement an LLM driven browser.

    Security Note: This toolkit provides code to control a web-browser.

    The web-browser can be used to navigate to:
    
    - Any URL (including any internal network URLs)
    - And local files
    
    Exercise care if exposing this chain to end-users. Control who is able to
    access and use this chain, and isolate the network access of the server
    that hosts this chain.
    
    See https://docs.langchain.com/oss/python/security-policy for more information.
    
    View source on GitHub