Tokens: The Main Cost Factor in AI Economics

In the world of LLM-based applications, tokens have become the primary metric for measuring both usage and cost. Every request to an LLM costs money, and the longer the conversation, the higher the bill. This is where token efficiency becomes not just an optimization, but a necessity.

What is OpenSquilla?

OpenSquilla is an open-source agent designed to solve tasks while consuming minimum tokens. The name references the seahorse (scientific name: squilla in some classifications) - a creature that evolutionarily adapted to survive in conditions of limited resources.

Key Features

• Prompt compression techniques: The agent uses internal methods to compress prompts
• Selective context usage: Chooses only relevant context from conversation history
• Intelligent "forgetting": Able to drop unnecessary information ## Use Case For businesses building thousands of AI agents for hundreds of customers, token efficiency directly impacts profitability. With LLM API costs being charged per token, saving tokens means saving money at scale. ## Current Status The project is new, with minimal documentation currently available. However, the problem it addresses is real: the market is starting to count tokens, and tools that help economize them will find their audience. ## Check It Out GitHub Repository