𝗧𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗧𝗼𝗸𝗲𝗻 𝗧𝗿𝗮𝗽 𝗼𝗳 𝗔𝗴𝗲𝗻𝘁 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻

𝗧𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗧𝗼𝗸𝗲𝗻 𝗧𝗿𝗮𝗽 𝗼𝗳 𝗔𝗴𝗲𝗻𝘁 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻

Huge context windows look great on paper. You feed the model everything at once.

This is a trap for production multi-agent systems.

Passing raw text between agents makes costs rise.

• Token usage grows fast.
• Models lose focus.
• Models miss details in the middle.

You do not need a bigger window. You do not need a smarter model.

You need a shared memory layer outside the prompts.

This is a data engineering problem.

Sustainable AI strategy depends on your architecture. It depends on what your system remembers.

I wrote about this problem for Communications of the ACM (CACM).

Read the full piece here: https://cacm.acm.org/blogcacm/the-hidden-token-trap-of-agent-orchestration/

Source: https://dev.to/abhilash_pakalapati_e665e/the-hidden-token-trap-of-agent-orchestration-why-its-a-data-problem-not-a-model-problem-4klp Optional learning community: https://t.me/GyaanSetuAi