AgentFlow provides an automated test harness for AI/LLM-driven workflows, letting teams define expected behaviors, mock tool calls, replay traces, evaluate prompt flows, and catch regressions before deployment. It integrates with common agent frameworks and custom tool-calling architectures to provide CI checks, observability, and scenario-based validation for production agent systems.

Multiple companies are hiring specifically for LLM agents, tool-use patterns, orchestration, and automation frameworks, indicating agent workflows are moving from experiments into production systems. As adoption grows, teams need dedicated tooling to make these systems testable and dependable.