Cost Aware Llm Pipeline
affaan-m/everything-claude-codeBuilding an app that uses AI models like Claude or GPT can get expensive. This guide shows you how to keep costs down without losing quality.
You will learn four smart techniques. Model routing picks a cheaper model for easy tasks. Budget tracking stops you from overspending. Retry logic only repeats calls when errors are temporary. Prompt caching saves money by reusing long instructions.
These patterns work together in a simple pipeline. Developers can control spending while still getting great results from AI.
Add Cost Aware Llm Pipeline skill to your workflow
Global
mkdir -p ~/.claude/skills/cost-aware-llm-pipelineProject
mkdir -p .claude/skills/cost-aware-llm-pipelineSource Repository
More AI & Agent Building Claude Code Skills
Find Skillsvercel-labs/skills
Find and install the perfect skill to extend your AI agent
Microsoft Foundrymicrosoft/azure-skills
Build, deploy, and improve AI agents on Microsoft Foundry from start to finish
Azure Aimicrosoft/azure-skills
Search, transcribe, and analyze with Azure AI tools for smarter apps
Azure Hosted Copilot Sdkmicrosoft/azure-skills
Build, deploy, and manage your Copilot SDK apps on Azure with ease
Skill Creatoranthropics/skills
Create, test, and improve AI agent skills with easy step-by-step guidance
Image Editagentspace-so/runcomfy-agent-skills
Smart router picks the best AI model for your image editing needs
Agentspaceagentspace-so/skills
See your AI agent's live folder from any browser instantly
Openclaw Secure Linux Cloudxixu-me/skills
Secure self-hosting of OpenClaw with private control and SSH tunneling