couler vs theodosia
couler: Couler is a system for unified machine learning workflow optimization in the cloud, offering a consistent interface across various workflow engines like Argo Workflows, Tekton Pipelines, and Apache Airflow. It enhances efficiency through features such as autonomous construction, artifact caching, and auto-parallelism optimization, though it primarily supports Argo Workflows currently.; theodosia: Theodosia acts as a gatekeeper for Burr applications, mounting them as a FastMCP server to manage tool calls and ensure state machine transitions are valid. It significantly improves agent reliability and traceability by enforcing graph logic and logging all interactions, including structured refusals.
TL;DR
Simplifying and unifying machine learning workflow development across diverse cloud engines.
Gating LLM agents to enforce adherence to predefined state machine workflows and improve reliability.
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