Inferoa targets token and cost control for AI agents
Inferoa is an open-source tool for running AI agents through repeated work loops. The repository says it manages token use, cache reuse, model choice, and tool use during those loops. It can be installed with npm and offers both an interactive screen and one-shot command mode.
Key points
- Inferoa describes itself as a harness for AI agents that work through repeated loops.
- The /loop command keeps the goal, proof, and decisions active across work steps.
- The /tokenmaxxing command shows token and cost pressure, according to the repo.
- It focuses on cache reuse, bounded context, and model routing as ways to manage cost.
- It is built around the vLLM ecosystem.
Quick term guide
- open-source
- Software whose code is shared publicly so others can inspect, use, or change it.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- repository
- The folder that holds all the code files for a software project, often called a 'repo'
- prompting
- Writing instructions or questions to an AI to get a response.
- model routing
- The practice of sending tasks to different LLMs based on their complexity and cost.
- routing
- Automatically deciding which AI model handles a request based on how complex or simple it looks.
- ecosystem
- A group of connected apps and services that work well together.