This page features quick start guides, sample code, and tools for building AI agents and intelligent workflows. Explore use cases, get hands-on experience with Box AI API, and build agents with Box AI Studio.
Follow quick starts Box AI API is available to all customers Business and above.
Use natural language, or pass a stringified data structure to extract metadata from documents
Extract document metadata suggestions with Box metadata templates
Use Box AI Enhanced Extract Agent
Documentation These resources will get you up and running with Box AI API.
Get started with Box AI API
Override AI model configuration
MCP Servers These resources will get you up and running with Box MCP server.
Self-hosted Box MCP server
Online course: Build AI Apps with MCP Servers
Box MCP server and Pydantic AI
Box MCP server and LangChain MCP Adapters
AI agents Learn how to create advanced AI agents with Box.
Manage agents with Box AI Studio API
Box for Agentforce Extension package
Multi-agent workflows with Box and OpenAI
Box for AI Integrations Use Box for AI Integrations to extend LLM models’ existing knowledge bases.
Box loader for LangChain.js
Snowflake Openflow Connector for Box
Box source connector for Airbyte
Build RAG workflows Box andLlamaIndex
Build RAG workflows with Box and LangChain
