/langchain-react-agent

name: langchain-react-agent
description: LangChain ReAct agent implementation with tool binding for reasoning and action loops
allowed-tools:
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graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:agentic-loops, skill-area:tool-use]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
  topics: [topic:design-patterns]

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

1. **Agent Executor Setup**: Configure LangChain AgentExecutor with appropriate settings 2. **Tool Integration**: Bind tools with proper schemas and descriptions 3. **Prompt Engineering**: Design system prompts for ReAct reasoning patterns 4. **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+