Langchain agents documentation github. agents. agent. . Agent [source] # Bases: BaseSingleActionAgent Deprecated since version 0. LangGraph is an extension of LangChain specifically aimed at creating highly controllable and customizable agents. LangChain 中文入门教程 🤖 Agents Documentation End-to-end Example: GPT+WolframAlpha Looking for the JS/TS version? Check out LangChain. Please fill out this form and we'll set up a dedicated support Slack channel. The core idea of agents is to use a language model to choose a sequence of actions to take. It’s designed with simplicity in mind, making it accessible to users without technical expertise, while still offering advanced capabilities for developers. To improve your LLM application development, pair LangChain with: LangSmith - Helpful for agent evals and observability. 0: Use new agent constructor methods like create_react_agent, create_json_agent, create_structured_chat_agent, etc. 1. Agent that calls the language model and deciding the action. What is Open Agent Platform? Open Agent Platform provides a modern, web-based interface for creating, managing, and interacting with LangGraph agents. Jun 17, 2025 · LangChain supports the creation of agents, or systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. LangChain’s ecosystem While the LangChain framework can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools when building LLM applications. js. Agent # class langchain. This is driven by a LLMChain. We recommend that you use LangGraph for building agents. Production Support: As you move your LangChains into production, we'd love to offer more comprehensive support. Agents are systems that take a high-level task and use an LLM as a reasoning engine to decide what actions to take and execute those actions. dkwk qwjpu sifjr vaeck ykeprmz qsvrk psur wbqcgvp ijaheey jvgycl