avante.nvim/lua/avante/tokenizers.lua

56 lines
1.3 KiB
Lua

local Utils = require("avante.utils")
---@class AvanteTokenizer
---@field from_pretrained fun(model: string): nil
---@field encode fun(string): integer[]
local tokenizers = nil
local M = {}
---@param model "gpt-4o" | string
---@param warning? boolean
M.setup = function(model, warning)
warning = warning or true
vim.defer_fn(function()
local ok, core = pcall(require, "avante_tokenizers")
if not ok then return end
---@cast core AvanteTokenizer
if tokenizers == nil then tokenizers = core end
core.from_pretrained(model)
end, 1000)
if warning then
local HF_TOKEN = os.getenv("HF_TOKEN")
if HF_TOKEN == nil and model ~= "gpt-4o" then
Utils.warn(
"Please set HF_TOKEN environment variable to use HuggingFace tokenizer if " .. model .. " is gated",
{ once = true }
)
end
end
end
M.available = function() return tokenizers ~= nil end
---@param prompt string
M.encode = function(prompt)
if not tokenizers then return nil end
if not prompt or prompt == "" then return nil end
if type(prompt) ~= "string" then error("Prompt is not type string", 2) end
return tokenizers.encode(prompt)
end
---@param prompt string
M.count = function(prompt)
if not tokenizers then return math.ceil(#prompt * 0.5) end
local tokens = M.encode(prompt)
if not tokens then return 0 end
return #tokens
end
return M