Provides curated package suggestions for AI engineers focusing on efficiency optimization, prompt engineering, and cost management, with practical implementation and configurable "fun variables" for experimentation.

Core Deliverables

Documentation (AI_EFFICIENCY_PACKAGES.md)

• 7 package recommendations with performance benchmarks: vLLM (10-20x faster inference), TensorRT (5-10x GPU speedup), LangChain, Transformers, LiteLLM, Prompt-Toolkit, OpenAI+Cache
• Configuration examples with efficiency variables (temperature presets, token limits, caching strategies)
• Performance comparison table with tokens/sec, memory usage, cost efficiency scores

Production Toolkit (efficiency_toolkit.py)

• 5 efficiency modes: Speed Demon (⚡), Quality Queen (👑), Balanced Betty (⚖️), Creative Carl (🎨), Penny Pincher (💰)
• Prompt optimizer with caching and batch processing
• Performance metrics tracking (tokens/sec, cache hit rate, efficiency grading)
• Variable playground with personalities, themes, response formats

Configuration System (ai_config.json)

• 14 fun variables: personalities (😊 Helpful Assistant, 🧙‍♂️ Code Wizard, etc.), themes (cyberpunk, nature, space, retro), response formats (haiku, bullet points, code snippets)
• Budget modes (penny_pincher, balanced, premium) with rate limiting
• Integration examples for LangChain, vLLM, LiteLLM

Usage Example

from efficiency_toolkit import PromptOptimizer, EfficiencyMode

# Initialize with preferred mode
optimizer = PromptOptimizer(EfficiencyMode.CREATIVE_CARL)

# Batch process with caching
prompts = ["Explain quantum computing", "Write sorting function"]
results = optimizer.batch_process(prompts)

# Get metrics
report = optimizer.get_performance_report()
# Returns: cache_hit_rate: 90%, efficiency_grade: ⭐⭐⭐⭐⭐, tokens_per_second

Notes

• CodeQL: 0 security issues
• Temperature values capped at API limits (1.0 max)
• .gitignore added for Python artifacts

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.