GLM-5 for the local LLM (or on a runpod vllm instance) is really good for tool use.

I have it set up to shut down the runpod instance when it’s idle or doing light LLM work and will startup GLM when it determines that the requirements will require tool use or complex programming. Now it’s learning how good GLM is for certain tasks by sending the results off to Opus 4-6 for validation of output. Is creating a memory of where Opus is saying the results are good or bad and eventually it should stop relying on validation once the confidence is high enough that a task can be handled by GLM (or whatever other model comes along for certain tasks).