# Box AI Developer Zone This section contains 1 documentation items covering page. ## Untitled *Type: page | Category: Box AI Developer Zone * Box AI Developer Zone Box AI Developer Zone Box AI Developer Zone features interactive demos, sample code, and tools for building AI agents… # Box AI Developer Zone Box AI Developer Zone Box AI Developer Zone features interactive demos, 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! Try out interactive demos Box AI API is available to all Enterprise Plus and Enterprise Advanced customers. Summarize a document in a selected tone of voice. Demo Use natural langage, or pass a stringified data structure to extract metadata with Box AI API. Demo Extract document metadata suggestions. Pass a Box metadata template ID or a predefined data structure. Demo Extract document metadata suggestions with the new Enhanced Extract Agent. Get the best answers thanks to chain-of-thought processing. New Tutorial Documentation These resources will get you up and running with Box AI API. Check the API reference for specification details. Documentation Browse the guides to learn how to use Box AI API. Documentation Box supports a variety of AI models, categorized along two dimensions: access level and capability tier. Check table list of the supported AI models. Documentation Override the default AI model configuration and fine tune LLMs with Box AI API. Documentation MCP Servers These resources will get you up and running with Box MCP Server. The remote Box MCP Server allows third party AI systems to securely connect and interact with your content in Box. New MCP A Python Developer Community open source project. It integrates with the Box API to perform various operations such as file search, text extraction, AI-based querying, and data extraction. MCP Use Box Doc Gen through the Box MCP server for AI-Powered Document Generation Tutorial Turn Box MCP Server into a LangChain-compatible agent using the LangChain MCP Adapters. Tutorial AI agents Learn how to create advanced AI agents with Box. Create and manage custom AI agents with Box AI Studio API. New Box AI Studio Get started with reusable Agentforce actions that help automate workflows and enhance intelligent agent—based processes within Salesforce. New Salesforce Use OpenAI Responses API and a Box Agent to add unstructured data from your Box instance into your agentic workflows. OpenAI Get started with a Python library for building AI agents for Box. Beta Box for AI Integrations Use Box for AI Integrations to extend LLM models' existing knowledge bases. Seamlessly connect unstructured content in Box with the powerful analytics capabilities of Snowflake, unlocking new insights and automating data-driven workflows. New Integration Transform unstructured documents into structured, queryable data by using the “Box data extract”, an Airbyte source connector. Integration Build RAG workflows by embedding Box content into a Weaviate vector database and leveraging Weaviate's new Query Agent. Integration Connect Box and Pinecone to customize vector embeddings and get more relevant answers from LLM. Integration Enable access to Box content within LLM workflows with Box reader suite for LlamaIndex. Integration Include Box content in your LLM workflows with Box loader for LangChain. Integration Use the Box MCP server to augment Pydantic AI agents with secure content in Box. Demo Videos Watch the latest Box AI API tutorials and demos. Check out the high-level features of the Box AI API in one minute. See a demo of the Box AI API text generation endpoint. See a demo of the Box AI API document Q&A endpoint. Extract metadata with various prompt formats with Box AI API. Extract metadata with predefined structure with Box AI API. Learn why Box chose to expose Box AI through our public API. View more videos **Reference:** https://developer.box.com/ai-dev-zone/ --- ---