llm-token-optimization

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

Related Skills

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