langchain.agents.load_tools.load_tools

langchain.agents.load_tools.load_tools(tool_names: List[str], llm: Optional[BaseLanguageModel] = None, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → List[BaseTool]

Load tools based on their name.

Parameters

• tool_names – name of tools to load.

• llm – An optional language model, may be needed to initialize certain tools.

• callbacks – Optional callback manager or list of callback handlers. If not provided, default global callback manager will be used.

Returns

List of tools.

Examples using load_tools

• ChatGPT Plugins

• Human as a tool

• AWS Lambda API

• Requests

• OpenWeatherMap API

• Search Tools

• ArXiv API Tool

• GraphQL tool

• SceneXplain

• Argilla

• Streamlit

• SerpAPI

• WandB Tracing

• Comet

• Aim

• Golden

• Weights & Biases

• Wolfram Alpha

• MLflow

• DataForSEO

• SearxNG Search API

• Google Serper

• OpenWeatherMap

• Flyte

• ClearML

• Google Search

• Log, Trace, and Monitor Langchain LLM Calls

• Portkey

• Amazon API Gateway

• Debugging

• LangSmith Walkthrough

• Agent Debates with Tools

• Multiple callback handlers

• Defining Custom Tools

• Human-in-the-loop Tool Validation

• Access intermediate steps

• Timeouts for agents

• Streaming final agent output

• Cap the max number of iterations

• Async API

• Human input Chat Model

• Fake LLM

• Tracking token usage

• Human input LLM