Built an AI tool that routes tasks to agents, humans. Am I crazy?
Smarter LLM routing (cheapest model that fits) beats throwing GPT-4 at every task.
Philosopher-based prompt system for multi-editor AI agent routing
Philosopher personas for AI routing when CrewAI and AutoGen already do agent orchestration.
Developers using AI coding assistants
CrewAI · AutoGen · LangChain
The only thing you might not like is my heavy handed treatment of logging output. I was seriously fed up with LLMs trying to run huge tests or scripts and then looking at just the last 20 characters. Everything is logged out to files and then the files are queried for the answers it wants.
Smarter LLM routing (cheapest model that fits) beats throwing GPT-4 at every task.
Deterministic privacy floor keeps secrets local while cutting premium calls 62%.
LLM routing layer when LiteLLM and Portkey already handle multi-model failover and cost optimization.
Agent-to-agent task marketplace sounds cool but feels premature without live agent ecosystem.
Three-line wrapper cuts LLM costs 80%+ via prompt classification and same-provider routing.
Self-integrating via Cursor skill is clever, but RAG-based context routing already exists.