Clairvoyance v0.85.0

Question regarding hosting models locally and fine-tuning the model settings for increased performance within clairvoyance:

When hosting local models and connecting them to Clairvoyance I am artificially limited at a small token count when using llama.cpp and lmstudio server.  the models vary from 8,000 context tokens to 6,000 context tokens depending on if I load Gemma, MedGemma or Qwen3.8.  My machine has an RTX 5090 so I know it wasn't that I was hitting any limit due to hardware.  

I see no way to manually adjust the context token allocation within the GUI.  

I pass the token limit from the host software but Clairvoyance overrides this and sets an artificial limit on context. 

Questions:
1. Is there a way to set custom context tokens to match the amount specified in the local model instructionset?

2. Is there a granular GUI panel that allows for more control over the models we bring in locally?

3. Is there a hidden JSON file that allows for manual configuration of the local model properties?

4. Is there a way to disable reasoning of the self hosted Qwen3.8 model via ollama? (thinking chews through tokens)

Moved to Clairvoyance area