gh

# context-window

このトピックのトレンドリポジトリ（2件）

humanlayer/12-factor-agents

humanlayer/12-factor-agentsOtherTypeScript
21.0k2回登場

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

12-factor12-factor-agentsagentsaicontext-windowframeworkllmsmemoryorchestrationprompt-engineeringrag

chopratejas/headroom

chopratejas/headroomOtherPython
8.5k2回登場

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

agentaianthropicclaude-codecompressioncontext-engineeringcontext-windowcursorfastapilangchainllmmcpopenaiprompt-engineeringproxypythonragtoken-optimizationtokenstypescript