The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, debates, and refines responses, it enables complex problem-solving and precise results. Now with Prompt Caching to reduce latency and costs.
Anthropic Claude API wrapper for Go
Build production ready apps for GPT using Node.js & TypeScript
🚀 Autocache - Intelligent Anthropic API Cache Proxy Automatically inject cache-control fields into Claude API requests to reduce costs by up to 90% and latency by up to 85%. Works as a transparent drop-in replacement for popular AI platforms like n8n, Flowise, Make.com, LangChain, and LlamaIndex—no code changes required
Interact with Anthropic and Anthropic-compatible chat completion APIs in a simple and elegant way. Supports vision, prompt caching, and more.
Agentic-AI framework w/o the headaches
prompt caching to save dollars on generative AI API usage.
Lazy KV cache data structure for language models
This is a repo that shows how to use prompt caching.
Add a description, image, and links to the prompt-caching topic page so that developers can more easily learn about it.
To associate your repository with the prompt-caching topic, visit your repo's landing page and select "manage topics."