I’ve found the vscode copilot error “No lowest priority node found” to be about a context overflow somewhere in the chain “inference engine” -> “LLM” -> copilot.
Some/all of the workarounds you can try when that happens:
- Reduce/disable agent tools
- Increase the input window in chatLanguageModels.json, eg.
{ "id": "gemma-4-12b-it-qat-q4_0", "name": "gemma-4-12b-it-qat-q4_0", "url": "http://localhost:11434", "toolCalling": true, "vision": false, "maxInputTokens": 32768, "maxOutputTokens": 32768}
Of course, that will only work if the inference engine and model support larger windows.
- Configure the inference engine to use a larger input token window, eg. use the “-c 32768” llama-server parameter.
- Slightly different, but also works:
num_ctxin ollama modelfiles.