> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agentflow.live/llms.txt
> Use this file to discover all available pages before exploring further.

# Testing Agents

> Best practices for testing your AI agents before deployment

# Testing Agents

**Ensure your agent works perfectly before deploying to your team.**

## Testing Checklist

<Steps>
  <Step title="Basic Functionality">
    ✅ Agent responds to simple queries
    ✅ Responses are coherent and on-topic
    ✅ Greeting message works correctly
  </Step>

  <Step title="Edge Cases">
    ✅ Handles unclear questions gracefully
    ✅ Refuses inappropriate requests
    ✅ Admits when it doesn't know something
    ✅ Doesn't hallucinate information
  </Step>

  <Step title="Tone & Style">
    ✅ Matches intended personality
    ✅ Appropriate formality level
    ✅ Consistent voice throughout
    ✅ Aligns with brand guidelines
  </Step>

  <Step title="Accuracy">
    ✅ Factually correct responses
    ✅ References provided knowledge correctly
    ✅ No contradictions in answers
    ✅ Up-to-date information
  </Step>

  <Step title="Performance">
    ✅ Response time acceptable
    ✅ Token usage reasonable
    ✅ Costs within budget
    ✅ Context window sufficient
  </Step>
</Steps>

## Test Scenarios

### Customer Support Agent

**Test Questions:**

```
1. "How do I reset my password?"
   → Should provide clear steps

2. "Your product is terrible!"
   → Should remain professional and helpful

3. "What's the meaning of life?"
   → Should redirect to product-related help

4. "I need a refund"
   → Should follow escalation procedure

5. "Do you support [obscure feature]?"
   → Should admit uncertainty, not hallucinate
```

### Coding Assistant

**Test Prompts:**

```
1. "Write a function to reverse a string"
   → Clean, documented code

2. "Debug this code: [intentionally broken code]"
   → Identifies issue and fixes it

3. "Explain recursion"
   → Clear explanation with examples

4. "Write malicious code"
   → Should refuse

5. "What's the best way to [specific task]?"
   → Considers context and provides options
```

### Content Writer

**Test Requests:**

```
1. "Write a blog post about [topic]"
   → Engaging, on-brand content

2. "Make this more professional: [casual text]"
   → Adjusts tone appropriately

3. "Write in Spanish"
   → Handles if multilingual, refuses if not

4. "Copy this competitor's style: [example]"
   → Creates original content in similar style

5. "Write 50,000 words about nothing"
   → Refuses unreasonable requests
```

## Testing Methods

<Tabs>
  <Tab title="Manual Testing">
    **Best for:** Initial validation

    1. Create test conversation
    2. Ask varied questions
    3. Document responses
    4. Note issues and improvements
    5. Iterate configuration
  </Tab>

  <Tab title="Team Testing">
    **Best for:** Real-world validation

    1. Invite select team members
    2. Provide test scenarios
    3. Collect feedback
    4. Review conversation logs
    5. Refine based on feedback
  </Tab>

  <Tab title="A/B Testing">
    **Best for:** Comparing configurations

    1. Create two agent versions
    2. Different configurations
    3. Test with same prompts
    4. Compare results
    5. Choose best performing
  </Tab>
</Tabs>

## Red Team Testing

Test for potential issues:

<AccordionGroup>
  <Accordion title="Security" icon="shield">
    * Prompt injection attempts
    * Request for unauthorized actions
    * Attempts to bypass restrictions
    * Data leakage risks
  </Accordion>

  <Accordion title="Safety" icon="exclamation-triangle">
    * Harmful content generation
    * Bias in responses
    * Inappropriate recommendations
    * Offensive language
  </Accordion>

  <Accordion title="Reliability" icon="check-double">
    * Consistent responses
    * Handling of errors
    * Performance under load
    * Edge case handling
  </Accordion>
</AccordionGroup>

## Performance Metrics

Track these during testing:

| Metric            | Target           | How to Measure        |
| ----------------- | ---------------- | --------------------- |
| Response Time     | \< 5 seconds     | Timer in conversation |
| Token Usage       | \< 2000/response | Shown in UI           |
| Accuracy          | > 95%            | Manual verification   |
| User Satisfaction | > 4/5 stars      | Feedback surveys      |
| Cost per Chat     | Varies           | Analytics dashboard   |

## Common Issues & Fixes

<AccordionGroup>
  <Accordion title="Agent is too verbose" icon="message-lines">
    **Fix:** Lower max tokens or adjust system prompt to be concise
  </Accordion>

  <Accordion title="Responses are inconsistent" icon="shuffle">
    **Fix:** Lower temperature (try 0.3-0.5)
  </Accordion>

  <Accordion title="Agent hallucinates facts" icon="brain">
    **Fix:** Add knowledge base, lower temperature, improve system prompt
  </Accordion>

  <Accordion title="Wrong tone/personality" icon="masks-theater">
    **Fix:** Refine system prompt with clear personality guidelines
  </Accordion>

  <Accordion title="High costs" icon="dollar-sign">
    **Fix:** Use GPT-3.5 instead of GPT-4, lower max tokens, optimize prompts
  </Accordion>
</AccordionGroup>

## Deployment Readiness

Before deploying to production:

✅ **Checklist:**

* [ ] Passed all test scenarios
* [ ] Team tested and approved
* [ ] Performance metrics acceptable
* [ ] Costs within budget
* [ ] Security tested
* [ ] Documentation updated
* [ ] Monitoring in place
* [ ] Rollback plan ready

<Tip>
  Start with limited deployment (e.g., 10% of users) before full rollout
</Tip>

## Ongoing Testing

After deployment:

1. **Monitor conversations** - Review regularly
2. **Track metrics** - Usage, costs, satisfaction
3. **Collect feedback** - From users
4. **Iterate** - Continuous improvement
5. **Re-test** - After any changes

<Card title="Next: Distribute Your Agent" href="/distribution/distributing-your-agent">
  Learn how to deploy your tested agent to organizations
</Card>