A GitHub repository has been created to compile resources for managing and reducing the costs associated with Large Language Models (LLMs). The list, titled 'awesome-llm-cost', includes tools for cost calculation, token counting, observability, caching, model routing, prompt compression, and self-hosting. The creator, who experienced a significant unexpected bill from Anthropic, aims to consolidate useful tools and techniques to help others avoid similar cost overruns. AI
IMPACT Provides a centralized resource for developers to find tools and techniques for optimizing LLM inference costs.
RANK_REASON A curated list of tools and resources for managing LLM costs was published on GitHub.
- Anthropic
- awesome-llm-cost
- GitHub
- gptcache
- helicone
- langfuse
- langsmith
- LLM
- notdiamond
- openllmetry
- openrouter
- phoenix
- portkey
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