LangChain Agents: Autonomous AI Assistants

Agents use LLMs to decide which actions to take.

Build autonomous AI assistants with LangChain agents.

Agent Types

Zero-shot Agent: Decides without examples

Conversational Agent: For chat applications

ReAct Agent: Reasoning and acting

Creating an Agent

from langchain.agents import initialize_agent, Tool

from langchain.tools import DuckDuckGoSearchRun

search = DuckDuckGoSearchRun()

tools = [Tool(name=”Search”, func=search.run, description=”Search the web”)]

agent = initialize_agent(tools, llm, agent=”zero-shot-react-description”)

agent.run(“What is the weather in Tokyo?”)

Custom Tools

Create your own tools for specific tasks.

Conclusion

Agents enable powerful automation!

Leave a Comment