About LangChain Agents
LangChain Agents is a framework for building autonomous agents that use language models with tools and reasoning. While language models are powerful, they are limited to generating text and lack ability to take actions or use tools. LangChain Agents enables creating agents that use language models in conjunction with tools-APIs, databases, computation-enabling autonomous task execution. Agents can reason about problems, decide what tools to use, execute actions, and iterate toward goals. For developers building sophisticated AI applications, LangChain Agents provides orchestration enabling autonomous agent behavior.
How It Works
Building with LangChain Agents involves defining tools available to agents-APIs, functions, databases. You configure agents specifying their objectives and available tools. The agent uses language model reasoning to decide what actions to take, calling appropriate tools and processing results. The agent iterates, taking multiple steps toward goals. Agents can handle complex tasks requiring multiple actions and decisions. The framework handles orchestration and state management.
Core Features
Tool Integration enables agents to use APIs, functions, and databases as tools.
Agent Reasoning leverages language model reasoning to decide actions.
Multi-Step Execution enables agents to take multiple actions toward goals.
Iterative Problem Solving allows agents to iterate and refine approaches.
Flexible Architecture supports various agent types and task approaches.
Who This Is For
LangChain Agents serves developers building sophisticated AI applications. Teams building autonomous agents for complex tasks. Researchers exploring agent-based AI systems. Anyone wanting to create agents that reason and use tools.
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