Compare agent skills before installing.

Guides building LLM applications with LangChain's chain/agent abstractions and, for stateful multi-step agents, LangGraph's graph-based orchestration (nodes, edges, cycles, checkpointed persistence, human-in-the-loop interrupts). Use when a user asks to "build this with LangChain," "use LangGraph for a stateful agent," "add persistence/checkpointing to a LangChain agent," "add a human approval step in a LangGraph graph," "my LangChain agent loses state between turns," or is deciding between LangChain's `AgentExecutor`, a LangGraph graph, and a hand-rolled control loop.

Unbounded-consumption / denial-of-wallet attacks on LLM apps — force runaway tokens, cost, or latency. Load when testing an LLM product's limits/billing, on "LLM DoS", cost amplification, or resource exhaustion. Signals: user-controlled prompts/max_tokens, agent loops, no rate/'cost caps'.