Rustam Lalkaka

A case study on production objective hill climbing Firetiger runs a few hundred large language model (LLM) agents in production, and prompt caching is a critical tool to manage the cost of running such a workload. Properly setting cache time-to-live (TTL), how long a cached prefix survives before the next

Today, we're making Change Monitors generally available for all Firetiger customers. Change Monitors turn every pull request into a per-change safety net: an agent reads the diff, studies the systems it touches, and drafts a targeted monitoring plan while the code is still in review. When the PR

Today we're shipping Agent SLOs, a new feature that gives every Firetiger agent a structured way to track the health of the missions it's assigned. Agents now define their own service level objectives (SLOs), evaluate them every session, and use those evaluations to triage the issues