Unleashing Creativity with OpenAI’s New Agents SDK
I Got Pre-Release Access to the OpenAI Agents Framework and Here's What I Built
I’m thrilled to dive into OpenAI’s new Agents SDK publicly released earlier today. It’s a game-changer for AI orchestration and workflow automation. Early access let me transform imaginative ideas into reality with near-effortless speed.
Here’s a demo of the first version of my project working with the SDK from last week, presented to the OpenAI Agent team, thanks to early access with AgentOps!
My Journey from Straight Python to the OpenAI Agents SDK
Previously, I built autonomous AI agents using pure Python—a powerful but intricate process. But I found it better to do it that way than using any of the available agent frameworks. Check out my original project here. It demanded meticulous orchestration and heavy coding to handle multi-agent workflows. The OpenAI Agents SDK slashed that complexity, letting me reimagine and rebuild my project into a streamlined, modular, and far more powerful system.
Introducing "Agento": A Modular AI Planning System
My new "Agento" project showcases how the OpenAI Agents SDK can be used to turn broad goals into structured, actionable plans with iterative polish. Literally, you can start this sucker off with ANY goal or idea you can think of and it will go to work on it for you. Here’s the breakdown:
Criteria Generation: Iteratively identifies and select custom success metrics, grounded in full web search to ensure they are relevant and actionable.
Plan Generation: Crafts detailed goal-achievement strategies and a plan outline.
Plan Expansion and Evaluation: Expands and critiques each plan outline into a full draft.
Revision Identification: Spots needed improvements based on your original goal and, critically, on the success criteria.
Revision Implementation: Applies and tests revisions for a solid and well-aligned draft.
There is also a module to export your final plan as easy to read markdown (with MS Word, PDF, and other formats depending on the plan content coming soon)
Each module is independent and interchangeable, linked by standard JSON interfaces for flexibility across agent frameworks. This means you can take any module and re-create it in whatever agent framework you prefer (LangGraph, Crew, AutoGen, etc, etc) and everything will still work. It’s just JSON in and JSON out. Dive into the details and grab the starter code here.
Making Your Life Easier with a Ready-to-Go Single File
To get you started fast, I’ve packed all of the OpenAI Agent SDK code and docs into one ready-to-use file. Just add or attach it to your LLM prompts for a seamless custom-agent-building experience. Grab the total Agent SDK in one file right here!
A Deeper Dive into OpenAI Agents SDK
The OpenAI Agents SDK, a versatile open-source tool, orchestrates complex multi-agent workflows with ease. It outshines earlier frameworks like Swarm, boosting productivity and simplicity. Key features:
Agent Configuration: Equip agents with built-in or custom tools effortlessly.
Smart Handoffs: Delegate tasks between agents seamlessly.
Guardrails: Enforce safety and other priorities with input/output validation.
Tracing & Observability: Debug and optimize with clear execution insights.
Dig into the details of the new SDK at these links
OpenAI Announcement: https://openai.com/index/new-tools-for-building-agents/
Documentation: https://platform.openai.com/docs/guides/agents
GitHub repo: https://github.com/openai/openai-agents-python
SDK walkthrough: https://x.com/OpenAIDevs/status/1899531225468969240?t=617
Try it Out!
Whether you’re building a breakthrough or simplifying daily tasks, the OpenAI Agents SDK supercharges your work. Dive into the docs, try my "Agento" example, and see how it can lift your projects to new heights. Let’s innovate together, just grab the code, start fast, and unlock endless possibilities with OpenAI’s latest gem!