The tools we use to optimize our workflows including API-level observability, automated auditing workflows, MCP tool pruning, and CLI substitution are all available today in the GitHub Agentic Workflows framework. Another upcoming optimization is refactoring monolithic agents into teams of subagents using smaller and cheaper models. The next step is to move from workflow-level optimization to system-level optimization. A workflow run is not really one flat sequence of API calls. It is a chain of episodes: short phases of work like gathering context, reading artifacts, retrying after a failure,
Improving token efficiency in GitHub Agentic Workflows… Tags: agentic workflows Written by Senior Principal Researcher, Microsoft Research Senior Research Engineer Related posts AI & ML Dungeons & Desktops: Building a procedurally generated roguelike with GitHub Copilot CLI Learn how one Hubber used GitHub Copilot CLI to build an extension that turns an… …
… Written in Markdown, these agent profiles let you specify: The agent’s role and area of expertise Which tools it can access Guardrails that keep outputs safe and consistent The snippet below shows the beginning of an agent profile that acts as an expert assistant for web accessibility: --- descript… …