Interact with agent-created visualizations in canvases

Introduced canvases as a new output mechanism for agents, enabling them to create interactive visualizations, dashboards, and custom interfaces. This feature leverages a React-based UI library with first-party components like tables, boxes, diagrams, and charts. Agents can be taught to create specific types of canvases through skills. The post details use cases in incident response (joining data from multiple sources into charts), PR review (logically grouping and prioritizing changes), eval analysis (investigating eval failures and clustering failure modes), and autoresearch (visualizing research progress). This aims to increase information bandwidth and reduce friction in human-agent collaboration.