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.
Three-line wrapper cuts LLM costs 80%+ via prompt classification and same-provider routing.
Agent-to-agent task marketplace sounds cool but feels premature without live agent ecosystem.
If you're burning through Claude/OpenAI credits, this is a low-friction stopgap: it classifies prompts in ~10ms and routes trivial tasks to cheaper/local models while reserving premium APIs for complex work. The agentic-task detection, reasoning-aware routing, session pinning and context-window fallback are practical touches that avoid mid-thread model bouncing and 429 failures. It isn't reinventing the space (OpenRouter and others exist), but it's focused on real-world cost tradeoffs and drop-in compatibility.
Context routing cuts 73% of tokens while staying 9/10 accurate on role match.
Terminal agent that writes persistent CLI tools when it hits capability gaps.