Governing agent autonomy with Auto-review

Introduced Auto-review, a system that uses a specialized classifier agent to govern agent autonomy. This classifier makes nuanced judgments about whether an agent's next action is consistent with user intent and the security stakes. It runs in the same RPC stream as the parent agent, can use tools like ReadFile and Grep to inspect the workspace, and provides feedback to the parent agent to adjust its actions. Evals were developed using internal usage data and synthetic test cases to cover both normal development work and high-risk scenarios. The system aims to minimize outright blocks, with blocked actions often resolved by the parent agent using the classifier's feedback.