Module 525 minutes
Prompt Engineering for Production
Design robust prompts for production systems. Handle edge cases and ensure consistent quality.
prompt-engineeringproductiontesting
Learning Objectives
- ✓Write production-grade prompts
- ✓Handle edge cases
- ✓Ensure output consistency
- ✓Version and test prompts
Production Prompts Are Different
Production prompts need reliability, not just good examples.
Production Requirements
- Consistent format
- Error handling
- Edge case coverage
- Clear constraints
- Parseable outputs
Structured Output Example
```python
prompt = """
Extract information from this text.
Return JSON only, no explanation.
Format:
{
"name": "string",
"email": "string or null",
"topic": "string"
}
Text: {user_input}
"""
```
Prompt Versioning
- Track prompt changes
- A/B test variations
- Monitor performance
- Roll back if needed
Testing Strategy
- Unit tests for prompts
- Edge case testing
- Evaluation metrics
- Human review samples
Key Takeaways
- →Production prompts need structure and error handling
- →Always specify output format explicitly
- →Version prompts like code
- →Test with edge cases, not just happy path
- →Monitor prompt performance in production
Practice Exercises
Apply what you've learned with these practical exercises:
- 1.Write production prompt with validation
- 2.Create test suite for prompts
- 3.Implement prompt versioning
- 4.Handle edge cases