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The user has provided a detailed technical research prompt asking me to create a comprehensive markdown report about optimizing agentic workflows, particularly focusing on local models, tools like Claude code, Codex, Warp, and LLMs on a Linux system with high-end specs (144GB VRAM, 500GB DDR4 RAM). They want to build a 24/7 research and development machine for creating a perfect home assistant.

Key requirements:

1. Create a beautiful markdown report with mermaid diagrams, sequence diagrams, graphs, tables and charts
2. Focus on optimizing agentic workflows
3. Cover tools like Claude code, Codex, Warp, and LLMs
4. Target hardware: Linux box with 144GB VRAM and 500GB DDR4 RAM
5. Goal: Build a 24/7 research and development machine for home assistant
6. NO CODE in the report - just information, links, references, quotes, and diagrams
7. Need to dig deep

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#!/usr/bin/env python3
"""
Interactive LLM Evaluation Runner
Allows model selection, benchmark selection, and percentage control

Features:
- Interactive CLI menu for model selection
- Select specific benchmarks to run
- Control percentage of each benchmark (e.g., 50% of GSM8K)
- Warns about agentic harness requirements

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