Build a multi-agent LLM system to handle customer support queries. Each agent is responsible for a specific task, such as troubleshooting, FAQ responses, or escalation to human agents. The system uses monitoring, logging, and fallback strategies to ensure production reliability.

Design an LLM agent that monitors financial data streams, analyzes market trends, and provides recommendations for enterprise decision-making. AgentOps principles are applied to ensure reliability, structured outputs, and automated alerts in case of anomalies.

Develop an end-to-end agentic workflow using LLMs to automate internal processes such as HR onboarding, procurement approvals, or document verification. Apply AgentOps practices to ensure reliability, scalability, and production monitoring.