OpenAI Agents SDK
OpenAI Agents SDK on Beyond Market Intelligence: a running collection of 4 stories we have gathered and hand-picked because they are worth your time. Every post here touches on openai agents sdk in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around openai agents sdk, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
One in five enterprises can't stop a runaway AI agent's spending in real time
Enterprise adoption of AI agents is revealing a critical shift: organizations are increasingly deploying multiple orchestration platforms—averaging three—to mitigate vendor risk and retain control. This trend, driven by concerns around security, permissions, and visibility, sees Microsoft AI Foundry/Copilot Studio leading usage, with Anthropic's Claude Platform gaining significant consideration. Notably, one in five enterprises still lacks real-time control over agent spending, highlighting the need for robust oversight as AI deployments evolve. Learn more about this emerging landscape with VentureBeat's coverage of Serval’s AI agent, Catalyst.
Agentic orchestration: Enterprise AI organizations know how to govern agents but still can't meter what they cost
Enterprise agent orchestration has evolved into a plural reality. Across 107 organizations, the typical enterprise manages three orchestration platforms to maximize flexibility across AI models, prioritizing adaptability over vendor lock-in. Microsoft leads in current usage, while Anthropic is the frontrunner for future consideration. A significant challenge remains: one in five enterprises lacks real-time control to prevent runaway agent costs, highlighting a critical need for enhanced fiscal governance in this rapidly evolving landscape.
How to Give an LLM Agent a Browser
Empower your LLM agents to navigate the web with confidence. This guide explores building a browser-enabled agent using OpenAI's Agents SDK and Playwright’s MCP, unlocking a new dimension of data access and automation. Discover how to equip your AI with the ability to interact with websites, extract information, and perform tasks previously beyond its reach. This approach moves beyond static datasets, enabling dynamic, real-time data processing. For further insights into AI agent capabilities, see "You Can Hand One AI Agent Your Worst Recurring Task.
Build an LLM Agent That Can Write and Run Code
Unlock the potential of AI-powered code generation and execution. This hands-on walkthrough guides you through building an LLM agent using the OpenAI Agents SDK and Docker. Learn to empower your workflows by seamlessly integrating code writing and running capabilities. We’ll demonstrate a practical approach to leveraging these tools, offering a future-focused solution for data professionals. For those interested in a deeper dive into LLM runtimes, explore "How To Build Your Own LLM Runtime From Scratch" for a comprehensive understanding of the underlying infrastructure.