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How to Reduce Agent Message Size by 95%

How to Reduce Agent Message Size by 95%

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How to Reduce Agent Message Size by 95% A step-by-step guide to replacing JSON with fixed-size binary encoding in your multi-agent system. Before: JSON Messages # Your agent sends this message = { " sender " : " weather_agent " , " action " : " observe " , " domain " : " nature " , " data " : { " city " : " New York " , " temperature " : 22.5 , " wind_speed " : 15.2 , " humidity " : 0.65 , " conditions " : " partly_cloudy " , }, " confidence " : 0.85 , " timestamp " : " 2026-03-22T19:00:00Z " , } # json.dumps(message) = 312 bytes # With indentation = 489 bytes After: Binary Encoding from bytepack import encode result = encode ({ " action " : " observe " , " domain " : " nature " , " asset " : " temperature " , " confidence " : " conf_8 " , " timeframe " : " present " , }) # result['s'] = 2556 bytes (fixed) # But wait — that's BIGGER for this single message! "Wait, 2,556 > 312 bytes. How is this a 95% reduction?" Good question. The power is in complex and batched messages . Watch: The R

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