Custom function to start LLM on demand (vimscript/lua compatibility)

Hi there,

This is likely more a vimscript question than one specifically for this plug-in, but I thought this might be worth asking nonetheless.

Here you see two versions of an invocation script for the plug-in (using Vim Plug, and ollama). The first, commented-out one works fine, but when I try to wrap this into a function, so that I can call it whenever I want suggestions, then it doesn't, and I'm not sure why. No error message so far... The goal would be to have a way to turn the plug-in on and off.

```vimscript
" LLM (neovim) {{{
" https://github.com/huggingface/llm.nvim
if has('nvim')

" lua << EOF
" require('llm').setup({
" api_token = nil, -- cf Install paragraph
" model = 'llama3.2:1b-text-fp16', -- the model ID, behavior depends on backend
" backend = 'ollama', -- backend ID, "huggingface" | "ollama" | "openai" | "tgi"
" url = 'http://localhost:11434', -- the http url of the backend
" tokens_to_clear = { '<|begin_of_text|>','<|end_of_text|>' }, -- tokens to remove from the model's output
" -- parameters that are added to the request body, values are arbitrary, you can set any field:value pair here it will be passed as is to the backend
" request_body = {
" options = { -- depending on backend: parameters = {
" num_predict = 1,
" temperature = 0.2,
" top_p = 0.95,
" },
" },
" -- set this if the model supports fill in the middle
" fim = {
" enabled = false,
" -- prefix = "",
" -- middle = "",
" -- suffix = "",
" },
" debounce_ms = 150,
" accept_keymap = '',
" dismiss_keymap = '',
" tls_skip_verify_insecure = false,
" -- llm-ls configuration, cf llm-ls section
" lsp = {
" bin_path = nil,
" host = nil,
" port = nil,
" cmd_env = { LLM_LOG_LEVEL = 'DEBUG' }, -- or cmd_env = nil to set the log level of llm-ls
" version = '0.5.3',
" },
" context_window = 8192, -- cf Tokenizer paragraph
" enable_suggestions_on_startup = true, -- max number of tokens for the context window
" enable_suggestions_on_files = '*', -- pattern matching syntax to enable suggestions on specific files, either a string or a list of strings
" disable_url_path_completion = false, -- cf Backend
" })
" EOF
" " ↑ EOF must be at the beginning of the line

function! LLMStart(name = "llama3.2:1b-text-fp16")
echom "starting llm: " . a:name
let g:llm_global_lm_name = a:name
lua << EOF
require('llm').setup({
api_token = nil, -- cf Install paragraph
model = vim.g.llm_global_lm_name, -- the model ID, behavior depends on backend
backend = 'ollama', -- backend ID, "huggingface" | "ollama" | "openai" | "tgi"
url = 'http://localhost:11434', -- the http url of the backend
tokens_to_clear = { '<|begin_of_text|>','<|end_of_text|>' }, -- tokens to remove from the model's output
-- parameters that are added to the request body, values are arbitrary, you can set any field:value pair here it will be passed as is to the backend
request_body = {
options = { -- depending on backend: parameters = {
num_predict = 1,
temperature = 0.2,
top_p = 0.95,
},
},
-- set this if the model supports fill in the middle
fim = {
enabled = false,
-- prefix = "",
-- middle = "",
-- suffix = "",
},
debounce_ms = 150,
accept_keymap = '',
dismiss_keymap = '',
tls_skip_verify_insecure = false,
-- llm-ls configuration, cf llm-ls section
lsp = {
bin_path = nil,
host = nil,
port = nil,
cmd_env = { LLM_LOG_LEVEL = 'DEBUG' }, -- or cmd_env = nil to set the log level of llm-ls
version = '0.5.3',
},
context_window = 8192, -- cf Tokenizer paragraph
enable_suggestions_on_startup = true, -- max number of tokens for the context window
enable_suggestions_on_files = '*', -- pattern matching syntax to enable suggestions on specific files, either a string or a list of strings
disable_url_path_completion = false, -- cf Backend
})
EOF
" ↑ EOF must be at the beginning of the line
echom "started llm"
endfunction

endif
" }}}
```

I guess I can achieve sort of the same effect by toggling the autosuggestions, but another use case would be to load a particular model without having to open my `vimrc` and change the name there?

Thanks in advance!