Design configuration interfaces that prioritize user experience by providing sensible defaults, using clear naming conventions, and logically grouping related options. Complex tools with many configuration parameters should minimize the cognitive load on users through thoughtful interface design. Key principles: 1. **Provide sensible defaults**: Allow users to skip commonly-used parameters by implementing reasonable default values that work for typical use cases 2. **Use clear, unambiguous naming**: Avoid parameter names that could be misinterpreted (e.g., `--model-api-name` instead of `--model` when referring to API endpoint naming) 3. **Group related configurations**: Consolidate related parameters into higher-level options (e.g., `--enable-lmcache` instead of multiple LMCache-specific flags) 4. **Improve example readability**: Format complex command examples with line breaks and remove verbose default values Example of improvement: ```bash # Before: Complex command with many explicit parameters python3 rag.py --qps 3.5 --model mistralai/Mistral-7B-Instruct-v0.2 --dataset ~/CacheBlend/inputs/musique_s.json --system-prompt "You will be asked a question..." --query-prompt "Answer the question..." --separator "" --prompt-build-method QA --base-url "http://localhost:8000/v1" --kv-storage-size 30GB --max-tokens 32 --output summary.csv # After: Simplified with defaults and clear grouping python3 rag.py \ --qps 3.5 \ --model mistralai/Mistral-7B-Instruct-v0.2 \ --dataset ~/CacheBlend/inputs/musique_s.json \ --enable-lmcache \ --output summary.csv ``` This approach reduces user friction while maintaining the flexibility needed for advanced use cases.