-- local llm = require('llm')
--
-- llm.setup({
--     api_token = nil,             -- cf Install paragraph
--     model = "codellama:7b-code",    -- the model ID, behavior depends on backend
--     backend = "ollama",          -- backend ID, "huggingface" | "ollama" | "openai" | "tgi"
--     url = "", -- the http url of the backend
--
--     tokens_to_clear = { "<EOT>" }, -- 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 = {
--         parameters = {
--             max_new_tokens = 120,
--             temperature = 0.2,
--             top_p = 0.95,
--             rope_frequency_base = 1000000
--         },
--     },
--     -- set this if the model supports fill in the middle
--     fim = {
--         enabled = true,
--         prefix = "<PRE> ",
--         middle = " <MID>",
--         suffix = " <SUF>",
--
--     },
--     debounce_ms = 500,
--     accept_keymap = "<A-a>",
--     dismiss_keymap = "<A-d>",
--     tls_skip_verify_insecure = false,
--     -- llm-ls configuration, cf llm-ls section
--     lsp = {
--         bin_path = nil,
--         host = nil,
--         port = nil,
--         cmd_env = nil, -- or { LLM_LOG_LEVEL = "DEBUG" } to set the log level of llm-ls
--         version = "0.5.3",
--     },
--     tokenizer = nil,                   -- cf Tokenizer paragraph
--     context_window = 4048,             -- max number of tokens for the context window
--     enable_suggestions_on_startup = true,
--     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
-- })