Comment by zambelli

I'm sorry to hear that! I'll take a fresh look at docs in my upcoming release.

In a nutshell, it applies guardrails around LLM calls to make them more reliable - specifically small models but works on all: "on multi-step agentic workflows through guardrails (rescue parsing, retry nudges, step enforcement) and context management (VRAM-aware budgets, tiered compaction).".

It'll try to parse malformed tool calls, it'll automatically compact if needed, it'll enforce any workflow requirements you define (ie, read before edit) - and it does so with domain-agnostic guardrails. It catches and feeds errors back to the model in a structured way so the model self-corrects (hopefully).

Each guardrail can be removed as desired by a consumer. It can be used as a building block library (WorkflowRunner approach), it can be integrated into existing source (middleware), or it can be a drop-in addition to an exiting workflow (proxy mode).