Run OpenAI Swarms at Near-Zero Cost

Author(s): Thomas Reid

Originally published on Towards AI.

Implementing OpenAI Agentic workflows using GROQImage by Dalle-3

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I posted an article a few months ago on the new swarm technology that OpenAI had just introduced. I’ll leave a link to that story at the end of this article if you want to check it out. You’ll probably get more out of this article if you do.

Anyway, swarm introduced two core concepts:-

Agents. Like OpenAI Assistants, agents perform specific tasks. Each agent knows what it needs to do and has tools to help get its job done. If an agent can’t complete the task alone, it can be passed on to another agent via a handoff.Handoffs. Allow agents to pass control to other agents more suited to the current task.

The downside of using Swarms on OpenAI is that because there can be lots of processes running throughout the period of your processing, the token costs can soon add up.

Luckily, many third-party LLM providers and enablers implement OpenAI-compatible API calls. This means that we can emulate OpenAI functionality using them.

And because many 3rd party providers allow free or very low-cost LLM usage, it can become very cheap to run agentic swarms.

One such provider is GROQ. I’ve written… Read the full blog for free on Medium.

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Published via Towards AI