Does .chat() support setting context length?

Hello I'm trying to set context length when running this code. Placing the configuration value in different places hasn't worked.

I am able to load the model with manually set context length in the GUI, then the terminal program runs fine using model = lms.llm()

https://lmstudio.ai/docs/python/llm-prediction/chat-completion#example-multi-turn-chat

If I load the config value with the model it doesn't apply the setting when opening .chat()
model = lms.llm("OpenAI-20B-NEO-CODEPlus-Uncensored-IQ4_NL.gguf", config={ "contextLength": 8192 })

If I set it in the chat I get an error. Example code:
chat = lms.Chat(systemprompt, config={ "contextLength": 8192 })
error:
line 59, in <module> chat = lms.Chat(systemprompt, config={ "contextLength": 8192 }) TypeError: Chat.__init__() got an unexpected keyword argument 'config'

Help with this issue would be appreciated.

Start with the linked multi-turn chat example and inspect how lms.llm() and lms.Chat() accept configuration. Reproduce the TypeError with the shown contextLength value and determine the supported configuration path; done means the documented chat flow can set a context length of 8192 without the constructor error.