Part V: Foundation Models and Agentic Sensing
Chapter 22  [R]

LLM Agents for Sensing and Operations

Placeholder chapter page. Sections are produced by the book-skills pipeline.

Sections

  1. 22.1 From single-shot inference to agentic sensing loops
  2. 22.2 Anomaly explanation and root-cause reasoning with LLMs
  3. 22.3 Log/telemetry reasoning and industrial copilots (Argos, AgentFM, CALM)
  4. 22.4 Tool use: agents that call detectors, filters, and forecasters
  5. 22.5 Multi-agent recursion-of-thought for RCA
  6. 22.6 Guardrails, calibrated confidence, and human-in-the-loop
  7. 22.7 Cost, latency, and reliability of agentic pipelines

Lab 22

build an agent that monitors a sensor stream, invokes a detector tool, and produces an explained, uncertainty-tagged alert.