Langchain react agent

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/langchain-react-agent

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

npx -y skills add a5c-ai/babysitter --skill langchain-react-agent

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What its author says it does

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

SKILL.md

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LangChain ReAct Agent Skill

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+