Evaluation & Monitoring
Evaluation & Monitoring
Evaluation determines how well an agent performs (correctness, helpfulness, safety), usually on a test dataset. Monitoring determines how the system is running (latency, errors, cost) in a live environment. Both are essential for the lifecycle management of AI systems.
When to Use
- CI/CD: Rejecting code changes if they drop accuracy below a threshold.
- A/B Testing: Comparing Prompt A vs. Prompt B to see which users prefer.
- Cost Auditing: Understanding which agents or tools are driving up the bill.
- Drift Detection: Noticing if the model starts hallucinating more often on new data.
Use Cases
- LLM-as-a-Judge: Using GPT-4 to grade the answers of a smaller model.
- Latency Tracking: Measuring the time-to-first-token (TTFT) and total generation time.
- Topic Clustering: Analyzing user queries to see what topics are trending or failing.
Implementation Pattern
More from lauraflorentin/skills-marketplace
multi-agent-collaboration
A structural pattern where multiple specialized agents communicate and coordinate to solve a problem that is too complex for a single agent. Use when user asks to "build a multi-agent system", "agents working together", "agent collaboration", or mentions team of agents, distributed agents, or swarm.
23reflection
A recursive pattern where an agent evaluates and critiques its own output to iteratively improve quality and catch errors. Use when user asks to "add self-reflection", "agent introspection", "self-critique", or mentions self-evaluation, meta-cognition, or quality self-assessment.
18human-in-the-loop
A hybrid pattern where the system pauses execution to request human approval, input, or disambiguation before proceeding with critical actions. Use when user asks to "add human approval", "require human review", "human-in-the-loop", or mentions approval workflows, human oversight, or escalation.
17planning
A high-level cognitive pattern where an agent formulates a structured sequence of actions (a plan) before executing any of them, ensuring goal-directed behavior. Use when user asks to "add planning to my agent", "task planning", "agent planning", or mentions plan generation, plan execution, or step-by-step planning.
14parallelization
A concurrency pattern where multiple agent tasks are executed at the same time to speed up processing or gather diverse perspectives. Use when user asks to "run agents in parallel", "parallelize tasks", "concurrent execution", or mentions parallel processing, fan-out, or batch execution.
13routing
A control flow pattern where a central component classifies an input request and directs it to the most appropriate specialized agent or tool. Use when user asks to "route between agents", "agent routing", "task dispatch", or mentions classifier routing, intent detection, or agent selection.
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