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Welcome to the avante.nvim wiki!
we will only fully support lazy.nvim
. Every other package manager are best-efforts. If you want to use anything else, please submit PR on how to make those better, thanks.
A more secure way to set API key is through secret manager. You can do that by prefixing api_key_name
like so:
{
"yetone/avante.nvim",
opts = {
provider = "claude",
claude = {
api_key_name = "cmd:bw get notes anthropic-api-key", -- the shell command must prefixed with `^cmd:(.*)`
-- api_key_name = {"bw","get","notes","anthropic-api-key"}, -- if it is a table of string, then default to command.
}
}
}
In the input box, we have support a few slash commands. Try /help
for more information.
Make sure that you have credits in your accounts 😃
set provider="copilot"
.
You can just add any accepted body fields to curl
for given LLM provider:
opts = {
gemini = { -- see https://ai.google.dev/api/generate-content#request-body_1
generationConfig = {
stopSequences = {"test"},
}
}
}
To set up the development environment:
- Install StyLua for Lua code formatting.
- Install pre-commit for managing and maintaining pre-commit hooks.
- After cloning the repository, run the following command to set up pre-commit hooks:
pre-commit install --install-hooks
For setting up lua_ls you can use the following for nvim-lspconfig
:
lua_ls = {
settings = {
Lua = {
runtime = {
version = "LuaJIT",
special = { reload = "require" },
},
workspace = {
library = {
vim.fn.expand "$VIMRUNTIME/lua",
vim.fn.expand "$VIMRUNTIME/lua/vim/lsp",
vim.fn.stdpath "data" .. "/lazy/lazy.nvim/lua/lazy",
},
},
},
},
},
You can also use the following config for lazydev.nvim
:
{
"folke/lazydev.nvim",
ft = "lua",
cmd = "LazyDev",
opts = {
dependencies = {
-- Manage libuv types with lazy. Plugin will never be loaded
{ "Bilal2453/luvit-meta", lazy = true },
},
library = {
{ path = "~/workspace/avante.nvim/lua", words = { "avante" } },
{ path = "luvit-meta/library", words = { "vim%.uv" } },
},
},
},
Then you can set dev = true
in your lazy
config for development.
To add support for custom providers, one add AvanteProvider
spec into opts.vendors
:
{
provider = "my-custom-provider", -- You can then change this provider here
vendors = {
["my-custom-provider"] = {...}
},
}
A custom provider should following the following spec:
---@type AvanteProvider
["my-custom-provider"] = {
endpoint = "https://api.openai.com/v1/chat/completions", -- The full endpoint of the provider
model = "gpt-4o", -- The model name to use with this provider
api_key_name = "OPENAI_API_KEY", -- The name of the environment variable that contains the API key
--- This function below will be used to parse in cURL arguments.
--- It takes in the provider options as the first argument, followed by code_opts retrieved from given buffer.
--- This code_opts include:
--- - question: Input from the users
--- - code_lang: the language of given code buffer
--- - code_content: content of code buffer
--- - selected_code_content: (optional) If given code content is selected in visual mode as context.
---@type fun(opts: AvanteProvider, code_opts: AvantePromptOptions): AvanteCurlOutput
parse_curl_args = function(opts, code_opts) end
--- This function will be used to parse incoming SSE stream
--- It takes in the data stream as the first argument, followed by SSE event state, and opts
--- retrieved from given buffer.
--- This opts include:
--- - on_chunk: (fun(chunk: string): any) this is invoked on parsing correct delta chunk
--- - on_complete: (fun(err: string|nil): any) this is invoked on either complete call or error chunk
---@type fun(data_stream: string, event_state: string, opts: ResponseParser): nil
parse_response_data = function(data_stream, event_state, opts) end
--- The following function SHOULD only be used when providers doesn't follow SSE spec [ADVANCED]
--- this is mutually exclusive with parse_response_data
---@type fun(data: string, handler_opts: AvanteHandlerOptions): nil
parse_stream_data = function(data, handler_opts) end
}
Few examples include perplexity, groq, and deepseek
vendors = {
---@type AvanteProvider
perplexity = {
endpoint = "https://api.perplexity.ai/chat/completions",
model = "llama-3.1-sonar-large-128k-online",
api_key_name = "cmd:bw get notes perplexity-api-key",
parse_curl_args = function(opts, code_opts)
return {
url = opts.endpoint,
headers = {
["Accept"] = "application/json",
["Content-Type"] = "application/json",
["Authorization"] = "Bearer " .. os.getenv(opts.api_key_name),
},
body = {
model = opts.model,
messages = { -- you can make your own message, but this is very advanced
{ role = "system", content = code_opts.system_prompt },
{ role = "user", content = require("avante.providers.openai").get_user_message(code_opts) },
},
temperature = 0,
max_tokens = 8192,
stream = true, -- this will be set by default.
},
}
end,
-- The below function is used if the vendors has specific SSE spec that is not claude or openai.
parse_response_data = function(data_stream, event_state, opts)
require("avante.providers").openai.parse_response(data_stream, event_state, opts)
end,
},
---@type AvanteProvider
groq = {
endpoint = "https://api.groq.com/openai/v1/chat/completions",
model = "llama-3.1-70b-versatile",
api_key_name = "GROQ_API_KEY",
parse_curl_args = function(opts, code_opts)
return {
url = opts.endpoint,
headers = {
["Accept"] = "application/json",
["Content-Type"] = "application/json",
["Authorization"] = "Bearer " .. os.getenv(opts.api_key_name),
},
body = {
model = opts.model,
messages = { -- you can make your own message, but this is very advanced
{ role = "system", content = code_opts.system_prompt },
{ role = "user", content = require("avante.providers.openai").get_user_message(code_opts) },
},
temperature = 0,
max_tokens = 4096,
stream = true, -- this will be set by default.
},
}
end,
parse_response_data = function(data_stream, event_state, opts)
require("avante.providers").openai.parse_response(data_stream, event_state, opts)
end,
},
---@type AvanteProvider
deepseek = {
endpoint = "https://api.deepseek.com/chat/completions",
model = "deepseek-coder",
api_key_name = "DEEPSEEK_API_KEY",
parse_curl_args = function(opts, code_opts)
return {
url = opts.endpoint,
headers = {
["Accept"] = "application/json",
["Content-Type"] = "application/json",
["Authorization"] = "Bearer " .. os.getenv(opts.api_key_name),
},
body = {
model = opts.model,
messages = { -- you can make your own message, but this is very advanced
{ role = "system", content = code_opts.system_prompt },
{ role = "user", content = require("avante.providers.openai").get_user_message(code_opts) },
},
temperature = 0,
max_tokens = 4096,
stream = true, -- this will be set by default.
},
}
end,
parse_response_data = function(data_stream, event_state, opts)
require("avante.providers").openai.parse_response(data_stream, event_state, opts)
end,
},
}
If certain providers don't follow SSE streaming spec, you might want to implement parse_stream_data
for your custom providers.
See parse_and_call implementation for more information.
If you want to use local LLM that has a OpenAI-compatible server, set ["local"] = true
:
provider = "ollama",
vendors = {
---@type AvanteProvider
ollama = {
["local"] = true,
endpoint = "127.0.0.1:11434/v1",
model = "codegemma",
parse_curl_args = function(opts, code_opts)
return {
url = opts.endpoint .. "/chat/completions",
headers = {
["Accept"] = "application/json",
["Content-Type"] = "application/json",
},
body = {
model = opts.model,
messages = require("avante.providers").copilot.parse_message(code_opts), -- you can make your own message, but this is very advanced
max_tokens = 2048,
stream = true,
},
}
end,
parse_response_data = function(data_stream, event_state, opts)
require("avante.providers").openai.parse_response(data_stream, event_state, opts)
end,
},
},
},
You will be responsible for setting up the server yourself before using Neovim.
Since #346, we will expose certain functions that are considered "public" API through avante.api
.
Additionally, we will safely add certain keymaps if users yet to set those (only applies for lazy.nvim
users) for core functionality, including AvanteAsk
, AvanteEdit
, and AvanteRefresh
Important
This means Leaderaa won't be set to AvanteAsk
if you already set this mapping.
The following <Plug>
will also be available for compatibility sake:
<Plug>(AvanteAsk)
<Plug>(AvanteEdit)
<Plug>(AvanteRefresh)
Example settings for keys settings in lazy.nvim
:
keys = function(_, keys)
---@type avante.Config
local opts =
require("lazy.core.plugin").values(require("lazy.core.config").spec.plugins["avante.nvim"], "opts", false)
local mappings = {
{
opts.mappings.ask,
function() require("avante.api").ask() end,
desc = "avante: ask",
mode = { "n", "v" },
},
{
opts.mappings.refresh,
function() require("avante.api").refresh() end,
desc = "avante: refresh",
mode = "v",
},
{
opts.mappings.edit,
function() require("avante.api").edit() end,
desc = "avante: edit",
mode = { "n", "v" },
},
}
mappings = vim.tbl_filter(function(m) return m[1] and #m[1] > 0 end, mappings)
return vim.list_extend(mappings, keys)
end,
Important
If you have different keybinding, then update opts.mappings
so that hint works accordingly.
If you are using lazy.nvim
then use the snippet above.
{
opts = {
mappings = {
ask = "<leader>ua", -- ask
edit = "<leader>ue", -- edit
refresh = "<leader>ur", -- refresh
},
}
}
Read https://github.com/yetone/avante.nvim/blob/main/lua/avante/api.lua
All fields for all .avanterules
are available here
If you wish to load img-clip.nvim
via keys, you can use the following:
keys = {
{
"<leader>ip",
function()
return vim.bo.filetype == "AvanteInput" and require("avante.clipboard").paste_image()
or require("img-clip").paste_image()
end,
desc = "clip: paste image",
},
}
See https://github.com/yetone/avante.nvim/issues/315#issuecomment-2315957174
_G.convert_to_qf = function()
require('avante.diff').conflicts_to_qf_items(function(items)
if #items > 0 then
vim.fn.setqflist(items, "r")
vim.cmd('copen')
end
end)
end
Then you can call this function in mappings or anything you want to do with it.
See https://github.com/yetone/avante.nvim/pull/527
Try set XDG_RUNTIME_DIR="/tmp/"