a2acompress Codec Reduces AI Agent Token Use by 36%
TL;DR. A new lossless codec called a2acompress significantly reduces token consumption for AI agent-to-agent communication. - The codec slashes token usage by 36.6% on ToolBench trajectories, making multi-agent pipelines more efficient. - It compresses common structural elements like JSON keys and identifiers in agent handoffs. - The system accounts for full decode overhead, ensuring honest and byte-exact token savings.
- a2acompress offers a lossless wire format for agent-to-agent communication.
- It reduces token counts by 36.6% on ToolBench, including all decode overhead.
- The codec targets structural redundancy in multi-agent handoffs like JSON keys and quoting.
- The benchmark process enforces byte-exact reconstruction and uses held-out data for honesty.