AI Testing
CrewAI's abstraction is clean: you define agents with roles and tools, wire them into tasks, and the crew handles delegation. What's less clean is testing it. A crew.kickoff() call can trigger a chain of LLM calls, tool invocations, and agent-to-agent handoffs that costs
Testing
Multi-agent systems (LangGraph workflows, CrewAI crews) are dramatically harder to test than single agents. State flows between agents, handoffs can fail silently, and emergent behaviors arise from agent interactions. This guide covers testing strategies for multi-agent orchestration: state validation, handoff testing, agent isolation, and failure injection. Single agents
AI Testing
You've built a CrewAI crew. Three agents, two tasks, one final output. You ran it locally, the output looked correct, and you're ready to ship. Two weeks later, a user reports the output is wrong. You run it again and it's fine. You run