Enterprise Agents with OpenAI
OpenAI is building towards an integrated end-to-end platform for agents!
Our goal is to give developers a seamless platform experience for building agents that can help with a variety of tasks across any industry.
It could cost up to $20k/month according to Tech Crunch!
Now, we have more information from the source, and we’re going to investigate it!
On March 11, OpenAI released their new Responses API. This new API represents a new layer of abstraction that allows for faster building, shipping, and sharing of production-grade LLM applications for enterprise.
According to the release, they’re “evolving [their] platform to help developers and enterprises build useful and reliable agents.”
The new set of APIs and tools are built on their previous work with the Chat Completions API and the Assistants API - both of which have been out for some time. They include:
The new Responses API, “combining the simplicity of the Chat Completions API with the tool use capabilities of the Assistants API for building agents.”
Built-in tools including web search, file search, and computer use
The new Agents SDK to orchestrate single-agent and multi-agent workflows
Integrated observability tools to trace and inspect agent workflow execution
It sounds a lot like the other platforms that we’ve been building with on the open-source edge.
Join us to check out the latest release from an industry leader.
📚 You’ll learn:
What OpenAI’s vision for an agentic future looks like
About the latest drop of a new API, a SDK, and set of observability tools
Our take on how this compares to leading tools like LangGraph Platform
🤓 Who should attend the event:
Aspiring AI Engineers who want to understand the hottest new agent tools
AI Engineering leaders who want to select the best tooling for their production LLM apps
Speakers:
Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Dayton, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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