Gadget Lifecycle Management And Execution Orchestration

** - Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.

Unique: Implements a state machine-based gadget lifecycle (parse → validate → execute → capture → return) with explicit error handling at each stage, using RunOptions to encapsulate execution context and timeout management. Decouples gadget discovery from execution, allowing the LLM to query available gadgets independently of execution readiness.

vs others: Provides structured error propagation and timeout management for kernel-level tools, whereas direct kubectl exec or SSH-based debugging requires manual error parsing and timeout handling in the LLM prompt.