You want to monitor latency for multiple steps and store results in a dictionary. Which approach correctly updates latency after each step?

hard📝 Workflow Q8 of 15

Agentic AI - Agent Observability

AUse a list instead of dictionary to store latencies

BStore start time only once before all steps, then subtract from current time after each step

CRecord start time before step, end time after step, then store difference in dictionary

DAdd all step durations together and store as one value

Step-by-Step Solution

Solution:

Step 1: Understand per-step latency measurement
Each step needs its own start and end time to measure duration.
Step 2: Correct way to store latencies
Calculate difference per step and store in dictionary with step keys.
Final Answer:
Record start time before step, end time after step, then store difference in dictionary -> Option C
Quick Check:
Per-step timing requires start and end per step [OK]

Quick Trick: Measure start and end time for each step separately [OK]

Common Mistakes:

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