Agentic Workflow

# Case Study: App 05 — Agentic Workflow ## Overview Agentic Workflow implements an autonomous execution loop leveraging the ReAct (Thought -> Action -> Observation -> Final Answer) paradigm with deterministic tool calling and mandatory Human-in-the-Loop authorization. ## Architecture FastAPI orchestrates an iterative reasoning loop where an LLM (or deterministic offline planner) inspects tasks, selects tools from a registered schema, and evaluates outputs. Sensitive actions pause the session state machine until an operator reviews the proposed action in Next.js and explicitly approves or cancels it. ## Reliability, safety, and security controls - Iteration limits (maximum 4 steps) prevent reasoning loops and runaway cloud token consumption. - Tool arguments are validated before execution; mathematical expressions are evaluated safely via AST without dynamic code execution. - Sensitive tools (`send_alert`) pause in a persistent `waiting_approval` state, ensuring no high-impact side effect occurs without explicit human consent. - Triple-bucket in-memory rate limiting and concurrency semaphores protect backend resources. - Fully runnable and testable offline with zero external API dependencies. ## Status The implementation is complete with full frontend internationalization, accessible state cards, and offline unit test coverage.