DecisionLoop: Python agent framework swaps LLM decisions for a small decision model
AgitatedReveal07 · reddit · 2026-10-13
A Reddit user released DecisionLoop, a Python agent framework where a small decision model handles intent detection, tool selection, argument filling, and control flow instead of calling an LLM for every step.
- Tested on three use cases: order support, a flight desk, and a banking desk
- Early results show better tool-call accuracy and lower cost/latency than a LangChain LLM agent built on a 12B model, though results vary with smaller models
- Author stresses these are preliminary, not a proper benchmark, and seeks feedback on architecture and fair evaluation
- Plans a multi-agent architecture with a router delegating to specialist agents
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