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feat: enable prompt caching for the Anthropic API
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,103 @@ | ||
| -- NOTE: this file is copied from: https://github.com/CopilotC-Nvim/CopilotChat.nvim/blob/canary/lua/CopilotChat/tiktoken.lua | ||
|
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||
| local curl = require("plenary.curl") | ||
| local tiktoken_core = nil | ||
|
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||
| ---Get the path of the cache directory | ||
| ---@param fname string | ||
| ---@return string | ||
| local function get_cache_path(fname) | ||
| return vim.fn.stdpath("cache") .. "/" .. fname | ||
| end | ||
|
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||
| local function file_exists(name) | ||
| local f = io.open(name, "r") | ||
| if f ~= nil then | ||
| io.close(f) | ||
| return true | ||
| else | ||
| return false | ||
| end | ||
| end | ||
|
|
||
| --- Load tiktoken data from cache or download it | ||
| local function load_tiktoken_data(done, model) | ||
| local tiktoken_url = "https://openaipublic.blob.core.windows.net/encodings/cl100k_base.tiktoken" | ||
| -- If model is gpt-4o, use o200k_base.tiktoken | ||
| if model ~= nil and vim.startswith(model, "gpt-4o") then | ||
| tiktoken_url = "https://openaipublic.blob.core.windows.net/encodings/o200k_base.tiktoken" | ||
| end | ||
| local async | ||
| async = vim.loop.new_async(function() | ||
| -- Take filename after the last slash of the url | ||
| local cache_path = get_cache_path(tiktoken_url:match(".+/(.+)")) | ||
| if not file_exists(cache_path) then | ||
| vim.schedule(function() | ||
| curl.get(tiktoken_url, { | ||
| output = cache_path, | ||
| }) | ||
| done(cache_path) | ||
| end) | ||
| else | ||
| done(cache_path) | ||
| end | ||
| async:close() | ||
| end) | ||
| async:send() | ||
| end | ||
|
|
||
| local M = {} | ||
|
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| ---@param model string|nil | ||
| function M.setup(model) | ||
| local ok, core = pcall(require, "tiktoken_core") | ||
| if not ok then | ||
| print("Warn: tiktoken_core is not found!!!!") | ||
| return | ||
| end | ||
|
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||
| load_tiktoken_data(function(path) | ||
| local special_tokens = {} | ||
| special_tokens["<|endoftext|>"] = 100257 | ||
| special_tokens["<|fim_prefix|>"] = 100258 | ||
| special_tokens["<|fim_middle|>"] = 100259 | ||
| special_tokens["<|fim_suffix|>"] = 100260 | ||
| special_tokens["<|endofprompt|>"] = 100276 | ||
| local pat_str = | ||
| "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+" | ||
| core.new(path, special_tokens, pat_str) | ||
| tiktoken_core = core | ||
| end, model) | ||
| end | ||
|
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| function M.available() | ||
| return tiktoken_core ~= nil | ||
| end | ||
|
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| function M.encode(prompt) | ||
| if not tiktoken_core then | ||
| return nil | ||
| end | ||
| if not prompt or prompt == "" then | ||
| return nil | ||
| end | ||
| -- Check if prompt is a string | ||
| if type(prompt) ~= "string" then | ||
| error("Prompt must be a string") | ||
| end | ||
| return tiktoken_core.encode(prompt) | ||
| end | ||
|
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| function M.count(prompt) | ||
| if not tiktoken_core then | ||
| return math.ceil(#prompt * 0.2) -- Fallback to 0.2 character count | ||
| end | ||
|
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| local tokens = M.encode(prompt) | ||
| if not tokens then | ||
| return 0 | ||
| end | ||
| return #tokens | ||
| end | ||
|
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| return M |