llm-token-optimization

name	LLM Token Optimization
description	See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.

LLM Token Optimization

This skill is covered in detail in the main LLM Cost Optimization skill.

Please refer to: 42-cost-engineering/llm-cost-optimization/SKILL.md

That skill covers:

• LLM pricing models (OpenAI, Anthropic, Google, Cohere)
• Token economics (input vs output tokens)
• Cost optimization strategies (model routing, prompt engineering, caching)
• Embedding and vector database costs
• RAG system cost breakdown
• Cost monitoring and attribution
• Budget controls and rate limiting
• Open-source model hosting trade-offs
• Tools for AI FinOps (Helicone, LangSmith, LiteLLM)
• Real-world case studies

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Related Skills

• 42-cost-engineering/llm-cost-optimization (Main skill)
• 44-ai-governance/model-risk-management
• 42-cost-engineering/cost-observability