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multi-region-llm-handoff

Framework for evaluating multi‑region LLM agent handoff performance

notablePython🧠 AI & ML

It provides Docker‑based infrastructure (Redis, Cassandra, Toxiproxy) and Python scripts to benchmark various write and read engine algorithms for stateful LLM agents across regions. Users can launch experiments, collect latency, payload, and cost metrics, and generate analysis notebooks. Designed for AI/ML researchers and engineers building distributed LLM systems. The package offers a reproducible, end‑to‑end setup with multiple algorithmic variants, saving the effort of building such an environment from scratch.

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padmajeet-mhaske/multi-region-llm-handoff