syftr

syftr is an open-source agent optimizer that leverages multi-objective Bayesian Optimization to identify the most efficient and cost-effective agentic workflows. It allows users to define a search space of models and components to find optimal trade-offs between accuracy, cost, latency, and throughput.

The candidate, syftr, is described as an "agent optimizer that helps you find the best agentic workflows for your budget." This aligns with the 'Pattern Analysis' feature as it aims to find optimal combinations of parameters for workflows. The concept of "agentic workflows" and finding the "best combination of parameters" implies an analysis of existing or potential patterns. While it doesn't explicitly state it observes on-screen workflows, it focuses on optimizing workflows, which is a core aspect of the idea. The 'Task Automation' feature is also present as syftr helps find "best agentic workflows" which inherently involves automating tasks within those workflows to achieve efficiency and budget goals. However, the direct observation of user interactions is not explicitly mentioned, leading to a slightly lower confidence score.