🔩 Infrastructure & Maintenance

This epic focuses on hardening the underlying architecture of the Gemini CLI to ensure long-term stability and high-reasoning performance. As interactions scale in complexity, maintaining **system efficiency** and **output quality** is critical.

The initiative addresses two foundational pillars:

**Context Optimization:** Implementing advanced trimming and summarization logic (Context Trimming vNext) to prevent token overflow and "model amnesia," ensuring critical instructions remain active during long sessions.

**Quality Improvement:** Establishing a "Behavioral Eval" suite within our CI/CD pipeline to benchmark AI performance. This ensures that infrastructure updates or model tweaks never result in regressions in reasoning or code generation.

By modernizing how we manage context and measure intelligence, we provide a robust, reliable backbone for all specialized agent capabilities.

### Why is this needed?

Addressed by #8480

### Additional context

_No response_