LangChain ReAct Agent Skill

SkillAI & models

LangChain ReAct agent implementation with tool binding for reasoning and action loops

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the LangChain ReAct Agent Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/langchain-react-agent/SKILL.md and read by ahel’s review.

Capabilities

Implement ReAct (Reasoning + Acting) agent patterns using LangChain
Configure tool binding and function calling for agents
Design thought-action-observation loops
Integrate with various LLM providers (OpenAI, Anthropic, etc.)
Handle agent memory and state persistence
Implement error handling and retry logic for agent actions

Target Processes

react-agent-implementation
function-calling-agent

Implementation Details

Core Components

Agent Executor Setup: Configure LangChain AgentExecutor with appropriate settings
Tool Integration: Bind tools with proper schemas and descriptions
Prompt Engineering: Design system prompts for ReAct reasoning patterns
Output Parsing: Parse agent outputs and handle structured responses

Configuration Options

LLM model selection and parameters
Tool definitions and schemas
Memory type (buffer, summary, vector)
Max iterations and timeout settings
Verbose/debug mode configuration

Dependencies

langchain
langchain-openai / langchain-anthropic
Python 3.9+

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: langchain-react-agent
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter