# Evidence: LLMOps: version prompts, evaluate behavior and trace requests

Copy this template into your own portfolio and fill it after running your modified exercise.

## Evidence required

Keep all case IDs and per-slice replay scores, missing/duplicate-response rejections, the retained failed case, trace identities and application-version fields. Explain what requires separate live-model evaluation.

- Command: `python3 phases/16-operations/07-llmops-prompts-evaluation-and-traces/code/main.py`
- Working directory: repository root
- Python / JAX / NumPy versions: 
- Hardware and device: 
- My prediction before running: 
- My change to the exercise: 
- Exit code and meaningful output: 
- Why the result supports or contradicts my prediction: 
- Checkpoint result: 
- Artifact link or saved filename: 
- Portfolio status: saved in local workspace
