diagnostics

Runtime safety net for LLM agents that detects runaway token growth, classifies failure patterns, and suggests fixes without extra LLM calls. The project includes a Rust core, Python SDK, examples, benchmarks, and benchmark claims across multiple models and runs.

An experimental programming language and compiler built for agent workflows, with CLI commands for parsing, checking, graphing, repair planning, and JSON-based inspection output.