How does model tiering reduce costs?

Model tiering routes simple tasks to cheaper models (like GPT-4o-mini) and reserves expensive models (like Claude 3.5 Sonnet) for complex reasoning, potentially saving up to 100x on API fees.

Does this skill stop API calls if a budget is hit?

Yes, the BudgetLimitCallback can be configured to raise a RuntimeError when a daily spend limit is reached, acting as a circuit breaker for your application.

Can I use this for multiple LLM providers?

Yes, the skill includes pricing logic and tracking for OpenAI, Anthropic, and Google Gemini models.

What is semantic caching in LangChain?

It uses embeddings to identify and return cached responses for semantically similar queries, preventing the need for a new API call for nearly identical user prompts.

LangChain Cost Optimization

Name: LangChain Cost Optimization
Author: jeremylongshore

byjeremylongshore

•

983

データサイエンスとML

Reduces and manages LLM API expenses by implementing token tracking, model routing, and advanced caching strategies within LangChain applications.

概要

This skill provides a comprehensive toolkit for managing and optimizing the operational costs of LangChain-based applications. It enables developers to implement real-time token tracking, budget enforcement, and cost-effective model routing strategies—such as automatically switching between high-performance and economy models based on task complexity. By incorporating advanced features like semantic caching and prompt truncation, this skill helps teams scale their AI products while maintaining strict control over API expenditures across major providers like OpenAI, Anthropic, and Google.

主な機能

Prompt optimization utilities including truncation and summarization logic
Automated budget limits and daily spend enforcement callbacks
Real-time token counting and cost estimation for multi-provider API calls
Semantic and Redis-based caching to eliminate redundant API requests
Intelligent model tiering to route tasks to the most cost-effective LLM
983 GitHub stars

ユースケース

Optimizing prompt engineering to minimize token consumption without losing context
Reducing production API bills for high-traffic LangChain chat applications
Implementing safeguards to prevent unexpected cost spikes during development

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langchain-cost-tuning

For use in Claude.ai and ChatGPT

Download Skill

GitHub

概要