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Test and refine your agents to ensure reliable behavior.

Testing Approach

1

Start with simple cases

Test basic functionality before complex scenarios.
2

Review activity logs

Check how the agent interpreted your request.
3

Test edge cases

What happens with unusual inputs?
4

Iterate on instructions

Refine based on observed behavior.

What to Test

CategoryExamples
Happy pathNormal inputs with expected results
Edge casesEmpty inputs, unusual formats, missing data
Error handlingAPI failures, rate limits, timeouts
BoundariesDoes the agent respect its limits?
EscalationDoes it ask for help when it should?

Using Activity Logs

The activity log shows exactly what happened:
  1. Trigger — What started the agent?
  2. Interpretation — How did it understand the request?
  3. Plan — What did it decide to do?
  4. Execution — What actions were taken?
  5. Result — What was the outcome?
When something goes wrong, start with the interpretation. Often the issue is that the agent understood the request differently than you intended.

Iteration Process

What behavior was unexpected? Was it wrong, or just different from what you wanted?
Check the activity log. Did the agent misunderstand? Lack context? Have wrong tools?
Add clarification, examples, or rules to address the issue.
Verify the fix works and doesn’t break other cases.

Common Issues and Fixes

IssueLikely CauseFix
Wrong interpretationAmbiguous instructionsAdd specific examples
Missing contextAgent doesn’t know enoughProvide additional documents
Wrong tool usedUnclear when to use whatSpecify tool usage in instructions
Over-eager actionMissing boundariesAdd “never” rules
Stuck / confusedNo escalation pathDefine when to ask for help

Gradual Rollout

For important agents:
1

Test in isolation

Use test data in a sandbox environment.
2

Shadow mode

Run alongside manual process, compare results.
3

Limited deployment

Handle subset of real traffic with monitoring.
4

Full deployment

Expand to full scope with ongoing monitoring.
Don’t deploy agents to production without testing. Even small issues can have big impacts at scale.