orla

Runtime-adaptive execution layer that auto-tunes AI agent stage policies for cost and accuracy.

PlatformWebfreeglobal

Orla is a free, open-source, runtime-adaptive execution layer for agentic workflows from a Harvard research lab. Agents call it as an OpenAI-compatible endpoint tagged by stage rather than by destination, and an external optimizer revises each stage's routing policy over time based on production data to improve cost and accuracy, with no changes to the agent's own code. It's aimed at developers running agentic applications with many LLM calls who want automatic, data-driven tuning of which backend serves each part of the pipeline.

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