99 lines
2.8 KiB
Lua
99 lines
2.8 KiB
Lua
local Utils = require("avante.utils")
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local Config = require("avante.config")
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local Clipboard = require("avante.clipboard")
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local P = require("avante.providers")
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---@class OpenAIChatResponse
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---@field id string
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---@field object "chat.completion" | "chat.completion.chunk"
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---@field created integer
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---@field model string
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---@field system_fingerprint string
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---@field choices? OpenAIResponseChoice[]
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---@field usage {prompt_tokens: integer, completion_tokens: integer, total_tokens: integer}
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---
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---@class OpenAIResponseChoice
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---@field index integer
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---@field delta OpenAIMessage
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---@field logprobs? integer
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---@field finish_reason? "stop" | "length"
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---
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---@class OpenAIMessage
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---@field role? "user" | "system" | "assistant"
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---@field content string
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---
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---@class AvanteProviderFunctor
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local M = {}
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M.api_key_name = "OPENAI_API_KEY"
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M.tokenizer_id = "gpt-4o"
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---@param opts AvantePromptOptions
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M.get_user_message = function(opts) return opts.user_prompt end
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M.parse_message = function(opts)
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---@type string | OpenAIMessage[]
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local user_content
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if Config.behaviour.support_paste_from_clipboard and opts.image_paths and #opts.image_paths > 0 then
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user_content = {}
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for _, image_path in ipairs(opts.image_paths) do
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table.insert(user_content, {
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type = "image_url",
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image_url = {
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url = "data:image/png;base64," .. Clipboard.get_base64_content(image_path),
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},
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})
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end
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table.insert(user_content, { type = "text", text = opts.user_prompt })
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else
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user_content = opts.user_prompt
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end
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return {
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{ role = "system", content = opts.system_prompt },
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{ role = "user", content = user_content },
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}
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end
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M.parse_response = function(data_stream, _, opts)
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if data_stream:match('"%[DONE%]":') then
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opts.on_complete(nil)
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return
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end
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if data_stream:match('"delta":') then
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---@type OpenAIChatResponse
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local json = vim.json.decode(data_stream)
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if json.choices and json.choices[1] then
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local choice = json.choices[1]
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if choice.finish_reason == "stop" then
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opts.on_complete(nil)
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elseif choice.delta.content then
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if choice.delta.content ~= vim.NIL then opts.on_chunk(choice.delta.content) end
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end
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end
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end
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end
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M.parse_curl_args = function(provider, code_opts)
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local base, body_opts = P.parse_config(provider)
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local headers = {
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["Content-Type"] = "application/json",
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}
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if not P.env.is_local("openai") then headers["Authorization"] = "Bearer " .. provider.parse_api_key() end
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return {
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url = Utils.trim(base.endpoint, { suffix = "/" }) .. "/chat/completions",
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proxy = base.proxy,
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insecure = base.allow_insecure,
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headers = headers,
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body = vim.tbl_deep_extend("force", {
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model = base.model,
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messages = M.parse_message(code_opts),
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stream = true,
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}, body_opts),
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}
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end
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return M
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