yetone/avante.nvim
yetone/avante.nvim được TopGit xếp vào nhóm dự án mã nguồn mở, với 18.1k sao trên GitHub, viết chủ yếu bằng Lua. Use your Neovim like using Cursor AI IDE!
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avante.nvim
avante.nvim is a Neovim plugin designed to emulate the behaviour of the Cursor AI IDE. It provides users with AI-driven code suggestions and the ability to apply these recommendations directly to their source files with minimal effort.
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[!NOTE]
🥰 This project is undergoing rapid iterations, and many exciting features will be added successively. Stay tuned!
https://github.com/user-attachments/assets/510e6270-b6cf-459d-9a2f-15b397d1fe53
https://github.com/user-attachments/assets/86140bfd-08b4-483d-a887-1b701d9e37dd
Sponsorship ❤️
If you like this project, please consider supporting me on Patreon, as it helps me to continue maintaining and improving it:
Sponsor me
Features
- AI-Powered Code Assistance: Interact with AI to ask questions about your current code file and receive intelligent suggestions for improvement or modification.
- One-Click Application: Quickly apply the AI's suggested changes to your source code with a single command, streamlining the editing process and saving time.
- Project-Specific Instruction Files: Customize AI behavior by adding a markdown file (
avante.mdby default) in the project root. This file is automatically referenced during workspace changes. You can also configure a custom file name for tailored project instructions.
Avante Zen Mode
Due to the prevalence of claude code, it is clear that this is an era of Coding Agent CLIs. As a result, there are many arguments like: in the Vibe Coding era, editors are no longer needed; you only need to use the CLI in the terminal. But have people realized that for more than half a century, Terminal-based Editors have solved and standardized the biggest problem with Terminal-based applications — that is, the awkward TUI interactions! No matter how much these Coding Agent CLIs optimize their UI/UX, their UI/UX will always be a subset of Terminal-based Editors (Vim, Emacs)! They cannot achieve Vim’s elegant action + text objects abstraction (imagine how you usually edit large multi-line prompts in an Agent CLI), nor can they leverage thousands of mature Vim/Neovim plugins to help optimize TUI UI/UX—such as easymotions and so on. Moreover, when they want to view or modify code, they often have to jump into other applications which forcibly interrupts the UI/UX experience.
Therefore, Avante’s Zen Mode was born! It looks like a Vibe Coding Agent CLI but it is completely Neovim underneath. So you can use your muscle-memory Vim operations and those rich and mature Neovim plugins on it. At the same time, by leveraging ACP it has all capabilities of claude code / gemini-cli / codex! Why not enjoy both?
Now all you need to do is alias this command to avante; then every time you simply type avante just like using claude code and enter Avante’s Zen Mode!
alias avante='nvim -c "lua vim.defer_fn(function()require(\"avante.api\").zen_mode()end, 100)"'
The effect is as follows:
Project instructions with avante.md
The `avante.md` file allows you to provide project-specific context and instructions to the ai. this file should be placed in your project root and will be automatically referenced during all interactions with avante.
Best practices for avante.md
to get the most out of your project instruction file, consider following this structure:
Your role
define the ai's persona and expertise level for your project:
### your role
you are an expert senior software engineer specializing in [technology stack]. you have deep knowledge of [specific frameworks/tools] and understand best practices for [domain/industry]. you write clean, maintainable, and well-documented code. you prioritize code quality, performance, and security in all your recommendations.
Your mission
clearly describe what the ai should focus on and how it should help:
### your mission
your primary goal is to help build and maintain [project description]. you should:
- provide code suggestions that follow our established patterns and conventions
- help debug issues by analyzing code and suggesting solutions
- assist with refactoring to improve code quality and maintainability
- suggest optimizations for performance and scalability
- ensure all code follows our security guidelines
- help write comprehensive tests for new features
Additional sections to consider
- project context: brief description of the project, its goals, and target users
- technology stack: list of technologies, frameworks, and tools used
- coding standards: specific conventions, style guides, and patterns to follow
- architecture guidelines: how components should interact and be organized
- testing requirements: testing strategies and coverage expectations
- security considerations: specific security requirements or constraints
example avante.md
# project instructions for myapp
## your role
you are an expert full-stack developer specializing in react, node.js, and typescript. you understand modern web development practices and have experience with our tech stack.
## your mission
help build a scalable e-commerce platform by:
- writing type-safe typescript code
- following react best practices and hooks patterns
- implementing restful apis with proper error handling
- ensuring responsive design with tailwind css
- writing comprehensive unit and integration tests
## project context
myapp is a modern e-commerce platform targeting small businesses. we prioritize performance, accessibility, and user experience.
## technology stack
- frontend: react 18, typescript, tailwind css, vite
- backend: node.js, express, prisma, postgresql
- testing: jest, react testing library, playwright
- deployment: docker, aws
## coding standards
- use functional components with hooks
- prefer composition over inheritance
- write self-documenting code with clear variable names
- add jsdoc comments for complex functions
- follow the existing folder structure and naming conventions
Installation
For building binary if you wish to build from source, then cargo is required. Otherwise curl and tar will be used to get prebuilt binary from GitHub.
lazy.nvim (recommended)
{
"yetone/avante.nvim",
-- if you want to build from source then do `make BUILD_FROM_SOURCE=true`
-- ⚠️ must add this setting! ! !
build = vim.fn.has("win32") ~= 0
and "powershell -ExecutionPolicy Bypass -File Build.ps1 -BuildFromSource false"
or "make",
event = "VeryLazy",
version = false, -- Never set this value to "*"! Never!
---@module 'avante'
---@type avante.Config
opts = {
-- add any opts here
-- this file can contain specific instructions for your project
instructions_file = "avante.md",
-- for example
provider = "claude",
providers = {
claude = {
endpoint = "https://api.anthropic.com",
model = "claude-sonnet-4-20250514",
timeout = 30000, -- Timeout in milliseconds
extra_request_body = {
temperature = 0.75,
max_tokens = 20480,
},
},
moonshot = {
endpoint = "https://api.moonshot.ai/v1",
model = "kimi-k2-0711-preview",
timeout = 30000, -- Timeout in milliseconds
extra_request_body = {
temperature = 0.75,
max_tokens = 32768,
},
},
},
},
dependencies = {
"nvim-lua/plenary.nvim",
"MunifTanjim/nui.nvim",
--- The below dependencies are optional,
"nvim-mini/mini.pick", -- for file_selector provider mini.pick
"nvim-telescope/telescope.nvim", -- for file_selector provider telescope
"hrsh7th/nvim-cmp", -- autocompletion for avante commands and mentions
"ibhagwan/fzf-lua", -- for file_selector provider fzf
"stevearc/dressing.nvim", -- for input provider dressing
"folke/snacks.nvim", -- for input provider snacks
"nvim-tree/nvim-web-devicons", -- or echasnovski/mini.icons
"zbirenbaum/copilot.lua", -- for providers='copilot'
{
-- support for image pasting
"HakonHarnes/img-clip.nvim",
event = "VeryLazy",
opts = {
-- recommended settings
default = {
embed_image_as_base64 = false,
prompt_for_file_name = false,
drag_and_drop = {
insert_mode = true,
},
-- required for Windows users
use_absolute_path = true,
},
},
},
{
-- Make sure to set this up properly if you have lazy=true
'MeanderingProgrammer/render-markdown.nvim',
opts = {
file_types = { "markdown", "Avante" },
},
ft = { "markdown", "Avante" },
},
},
}
Pack
Pack is an out-of-the-box plugin manager since Neovim v0.12.
vim.api.nvim_create_autocmd(
'PackChanged',
{
callback = function(ev)
local name, kind = ev.data.spec.name, ev.data.kind
if name == 'avante.nvim' and (kind == 'install' or kind == 'update') then
-- Use `make BUILD_FROM_SOURCE=true` to build from source
vim.system({ 'make' }, { cwd = ev.data.path }):wait()
end
end
}
)
vim.pack.add({
{
src='https://github.com/yetone/avante.nvim',
version='main' -- default
},
-- Deps
'https://github.com/nvim-lua/plenary.nvim',
'https://github.com/MunifTanjim/nui.nvim',
-- Optional deps
'https://github.com/MeanderingProgrammer/render-markdown.nvim',
'https://github.com/hrsh7th/nvim-cmp',
'https://github.com/nvim-tree/nvim-web-devicons', -- or 'echasnovski/mini.icons'
'https://github.com/HakonHarnes/img-clip.nvim',
'https://github.com/zbirenbaum/copilot.lua',
'https://github.com/folke/snacks.nvim', -- for modern input UI
})
-- Config customizations
require('avante').setup({})
rocks.nvim
Run :Rocks install avante.nvim then add to your init.lua:
require('avante').setup()
vim-plug
call plug#begin()
" Deps
Plug 'nvim-lua/plenary.nvim'
Plug 'MunifTanjim/nui.nvim'
Plug 'MeanderingProgrammer/render-markdown.nvim'
" Optional deps
Plug 'hrsh7th/nvim-cmp'
Plug 'nvim-tree/nvim-web-devicons' "or Plug 'echasnovski/mini.icons'
Plug 'HakonHarnes/img-clip.nvim'
Plug 'zbirenbaum/copilot.lua'
Plug 'stevearc/dressing.nvim' " for enhanced input UI
Plug 'folke/snacks.nvim' " for modern input UI
" Yay, pass source=true if you want to build from source
Plug 'yetone/avante.nvim', { 'branch': 'main', 'do': 'make' }
call plug#end()
autocmd! User avante.nvim
lua << EOF
require('avante').setup({})
EOF
mini.deps
local add, later, now = MiniDeps.add, MiniDeps.later, MiniDeps.now
add({
source = 'yetone/avante.nvim',
monitor = 'main',
depends = {
'nvim-lua/plenary.nvim',
'MunifTanjim/nui.nvim',
'echasnovski/mini.icons'
},
hooks = { post_checkout = function() vim.cmd('make') end }
})
--- optional
add({ source = 'hrsh7th/nvim-cmp' })
add({ source = 'zbirenbaum/copilot.lua' })
add({ source = 'HakonHarnes/img-clip.nvim' })
add({ source = 'MeanderingProgrammer/render-markdown.nvim' })
later(function() require('render-markdown').setup({...}) end)
later(function()
require('img-clip').setup({...}) -- config img-clip
require("copilot").setup({...}) -- setup copilot to your liking
require("avante").setup({...}) -- config for avante.nvim
end)
Packer
-- Required plugins
use 'nvim-lua/plenary.nvim'
use 'MunifTanjim/nui.nvim'
use 'MeanderingProgrammer/render-markdown.nvim'
-- Optional dependencies
use 'hrsh7th/nvim-cmp'
use 'nvim-tree/nvim-web-devicons' -- or use 'echasnovski/mini.icons'
use 'HakonHarnes/img-clip.nvim'
use 'zbirenbaum/copilot.lua'
use 'stevearc/dressing.nvim' -- for enhanced input UI
use 'folke/snacks.nvim' -- for modern input UI
-- Avante.nvim with build process
use {
'yetone/avante.nvim',
branch = 'main',
run = 'make',
config = function()
require('avante').setup()
end
}
Home Manager
programs.neovim = {
plugins = [
{
plugin = pkgs.vimPlugins.avante-nvim;
type = "lua";
config = ''
require("avante").setup()
''; # or builtins.readFile ./plugins/avante.lua
}
];
};
Nixvim
plugins.avante.enable = true;
plugins.avante.settings = {
# setup options here
};
Lua
-- deps:
require('cmp').setup ({
-- use recommended settings from above
})
require('img-clip').setup ({
-- use recommended settings from above
})
require('copilot').setup ({
-- use recommended settings from above
})
require('render-markdown').setup ({
-- use recommended settings from above
})
require('avante').setup({
-- Example: Using snacks.nvim as input provider
input = {
provider = "snacks", -- "native" | "dressing" | "snacks"
provider_opts = {
-- Snacks input configuration
title = "Avante Input",
icon = " ",
placeholder = "Enter your API key...",
},
},
-- Your other config here!
})
[!IMPORTANT]
avante.nvimis currently only compatible with Neovim 0.11.0 or later. Please ensure that your Neovim version meets these requirements before proceeding.
[!NOTE]
When loading the plugin synchronously, we recommend
requireing it sometime after your colorscheme.
[!NOTE]
Recommended Neovim options:
-- views can only be fully collapsed with the global statusline vim.opt.laststatus = 3
[!TIP]
Any rendering plugins that support markdown should work with Avante as long as you add the supported filetype
Avante. See https://github.com/yetone/avante.nvim/issues/175 and this comment for more information.
Default setup configuration
See config.lua#L9 for the full config
You can pass options directly to setup():
require("avante").setup({
provider = "claude",
behaviour = {
auto_suggestions = false,
},
})
Alternatively, define the same options in vim.g.avante before calling setup():
vim.g.avante = {
provider = "claude",
behaviour = {
auto_suggestions = false,
},
}
require("avante").setup()
If both are used, options passed to setup() override values from vim.g.avante.
Default configuration
{
---@alias Provider "claude" | "openai" | "azure" | "gemini" | "cohere" | "copilot" | string
---@type Provider
provider = "claude", -- The provider used in Aider mode or in the planning phase of Cursor Planning Mode
---@alias Mode "agentic" | "legacy"
---@type Mode
mode = "agentic", -- The default mode for interaction. "agentic" uses tools to automatically generate code, "legacy" uses the old planning method to generate code.
-- WARNING: Since auto-suggestions are a high-frequency operation and therefore expensive,
-- currently designating it as `copilot` provider is dangerous because: https://github.com/yetone/avante.nvim/issues/1048
-- Of course, you can reduce the request frequency by increasing `suggestion.debounce`.
auto_suggestions_provider = "claude",
providers = {
claude = {
endpoint = "https://api.anthropic.com",
auth_type = "api" -- Set to "max" to sign in with Claude Pro/Max subscription
model = "claude-3-5-sonnet-20241022",
extra_request_body = {
temperature = 0.75,
max_tokens = 4096,
},
},
},
---Specify the special dual_boost mode
---1. enabled: Whether to enable dual_boost mode. Default to false.
---2. first_provider: The first provider to generate response. Default to "openai".
---3. second_provider: The second provider to generate response. Default to "claude".
---4. prompt: The prompt to generate response based on the two reference outputs.
---5. timeout: Timeout in milliseconds. Default to 60000.
---How it works:
--- When dual_boost is enabled, avante will generate two responses from the first_provider and second_provider respectively. Then use the response from the first_provider as provider1_output and the response from the second_provider as provider2_output. Finally, avante will generate a response based on the prompt and the two reference outputs, with the default Provider as normal.
---Note: This is an experimental feature and may not work as expected.
dual_boost = {
enabled = false,
first_provider = "openai",
second_provider = "claude",
prompt = "Based on the two reference outputs below, generate a response that incorporates elements from both but reflects your own judgment and unique perspective. Do not provide any explanation, just give the response directly. Reference Output 1: [{{provider1_output}}], Reference Output 2: [{{provider2_output}}]",
timeout = 60000, -- Timeout in milliseconds
},
behaviour = {
auto_suggestions = false, -- Experimental stage
auto_set_highlight_group = true,
auto_set_keymaps = true,
auto_apply_diff_after_generation = false,
support_paste_from_clipboard = false,
minimize_diff = true, -- Whether to remove unchanged lines when applying a code block
enable_token_counting = true, -- Whether to enable token counting. Default to true.
auto_add_current_file = true, -- Whether to automatically add the current file when opening a new chat. Default to true.
auto_approve_tool_permissions = true, -- Default: auto-approve all tools (no prompts)
-- Examples:
-- auto_approve_tool_permissions = false, -- Show permission prompts for all tools
-- auto_approve_tool_permissions = {"bash", "str_replace"}, -- Auto-approve specific tools only
---@type "popup" | "inline_buttons"
confirmation_ui_style = "inline_buttons",
--- Whether to automatically open files and navigate to lines when ACP agent makes edits
---@type boolean
acp_follow_agent_locations = true,
},
prompt_logger = { -- logs prompts to disk (timestamped, for replay/debugging)
enabled = true, -- toggle logging entirely
log_dir = vim.fn.stdpath("cache") .. "/avante_prompts", -- directory where logs are saved
fortune_cookie_on_success = false, -- shows a random fortune after each logged prompt (requires `fortune` installed)
next_prompt = {
normal = "<C-n>", -- load the next (newer) prompt log in normal mode
insert = "<C-n>",
},
prev_prompt = {
normal = "<C-p>", -- load the previous (older) prompt log in normal mode
insert = "<C-p>",
},
},
mappings = {
--- @class AvanteConflictMappings
diff = {
ours = "co",
theirs = "ct",
all_theirs = "ca",
both = "cb",
cursor = "cc",
next = "]x",
prev = "[x",
},
suggestion = {
accept = "<M-l>",
next = "<M-]>",
prev = "<M-[>",
dismiss = "<C-]>",
},
jump = {
next = "]]",
prev = "[[",
},
submit = {
normal = "<CR>",
insert = "<C-s>",
},
cancel = {
normal = { "<C-c>", "<Esc>", "q" },
insert = { "<C-c>" },
},
sidebar = {
apply_all = "A",
apply_cursor = "a",
retry_user_request = "r",
edit_user_request = "e",
switch_windows = "<Tab>",
reverse_switch_windows = "<S-Tab>",
remove_file = "d",
add_file = "@",
close = { "<Esc>", "q" },
close_from_input = nil, -- e.g., { normal = "<Esc>", insert = "<C-d>" }
},
},
selection = {
enabled = true,
hint_display = "delayed",
},
windows = {
---@type "right" | "left" | "top" | "bottom"
position = "right", -- the position of the sidebar
wrap = true, -- similar to vim.o.wrap
width = 30, -- default % based on available width
sidebar_header = {
enabled = true, -- true, false to enable/disable the header
align = "center", -- left, center, right for title
rounded = true,
},
spinner = {
editing = { "⡀", "⠄", "⠂", "⠁", "⠈", "⠐", "⠠", "⢀", "⣀", "⢄", "⢂", "⢁", "⢈", "⢐", "⢠", "⣠", "⢤", "⢢", "⢡", "⢨", "⢰", "⣰", "⢴", "⢲", "⢱", "⢸", "⣸", "⢼", "⢺", "⢹", "⣹", "⢽", "⢻", "⣻", "⢿", "⣿" },
generating = { "·", "✢", "✳", "∗", "✻", "✽" }, -- Spinner characters for the 'generating' state
thinking = { "🤯", "🙄" }, -- Spinner characters for the 'thinking' state
},
input = {
prefix = "> ",
height = 8, -- Height of the input window in vertical layout
},
edit = {
border = "rounded",
start_insert = true, -- Start insert mode when opening the edit window
},
ask = {
floating = false, -- Open the 'AvanteAsk' prompt in a floating window
start_insert = true, -- Start insert mode when opening the ask window
border = "rounded",
---@type "ours" | "theirs"
focus_on_apply = "ours", -- which diff to focus after applying
},
},
highlights = {
---@type AvanteConflictHighlights
diff = {
current = "DiffText",
incoming = "DiffAdd",
},
},
--- @class AvanteConflictUserConfig
diff = {
autojump = true,
---@type string | fun(): any
list_opener = "copen",
--- Override the 'timeoutlen' setting while hovering over a diff (see :help timeoutlen).
--- Helps to avoid entering operator-pending mode with diff mappings starting with `c`.
--- Disable by setting to -1.
override_timeoutlen = 500,
},
suggestion = {
debounce = 600,
throttle = 600,
},
}
Blink.cmp users
For blink cmp users (nvim-cmp alternative) view below instruction for configuration This is achieved by emulating nvim-cmp using blink.compat or you can use Kaiser-Yang/blink-cmp-avante.
Lua
selector = {
--- @alias avante.SelectorProvider "native" | "fzf_lua" | "mini_pick" | "snacks" | "telescope" | fun(selector: avante.ui.Selector): nil
--- @type avante.SelectorProvider
provider = "fzf",
-- Options override for custom providers
provider_opts = {},
}
To create a customized selector provider, you can specify a customized function to launch a picker to select items and pass the selected items to the on_select callback.
selector = {
---@param selector avante.ui.Selector
provider = function(selector)
local items = selector.items ---@type avante.ui.SelectorItem[]
local title = selector.title ---@type string
local on_select = selector.on_select ---@type fun(selected_item_ids: string[]|nil): nil
--- your customized picker logic here
end,
}
Input Provider Configuration
Avante.nvim supports multiple input providers for user input (like API key entry). You can configure which provider to use:
Native Input Provider (Default)
{
input = {
provider = "native", -- Uses vim.ui.input
provider_opts = {},
}
}
Dressing.nvim Input Provider
For enhanced input UI with better styling and features:
{
input = {
provider = "dressing",
provider_opts = {},
}
}
You'll need to install dressing.nvim:
-- With lazy.nvim
{ "stevearc/dressing.nvim" }
Snacks.nvim Input Provider (Recommended)
For modern, feature-rich input UI:
{
input = {
provider = "snacks",
provider_opts = {
-- Additional snacks.input options
title = "Avante Input",
icon = " ",
},
}
}
You'll need to install snacks.nvim:
-- With lazy.nvim
{ "folke/snacks.nvim" }
Custom Input Provider
To create a customized input provider, you can specify a function:
{
input = {
---@param input avante.ui.Input
provider = function(input)
local title = input.title ---@type string
local default = input.default ---@type string
local conceal = input.conceal ---@type boolean
local on_submit = input.on_submit ---@type fun(result: string|nil): nil
--- your customized input logic here
end,
}
}
Choose a selector other that native, the default as that currently has an issue For lazyvim users copy the full config for blink.cmp from the website or extend the options
compat = {
"avante_commands",
"avante_mentions",
"avante_files",
}
For other users just add a custom provider
Available Completion Sources
Avante.nvim provides several completion sources that can be integrated with blink.cmp:
Mentions (@ trigger)
Mentions allow you to quickly reference specific features or add files to the chat context:
@codebase- Enable project context and repository mapping@diagnostics- Enable diagnostics information@file- Open file selector to add files to chat context@quickfix- Add files from quickfix list to chat context@buffers- Add open buffers to chat context
Slash Commands (/ trigger)
Built-in slash commands for common operations:
/help- Show help message with available commands/init- Initialize AGENTS.md based on current project/clear- Clear chat history/new- Start a new chat/compact- Compact history messages to save tokens/lines <start>-<end> <question>- Ask about specific lines/commit- Generate commit message for changes
Shortcuts (# trigger)
Shortcuts provide quick access to predefined prompt templates. You can customize these in your config:
{
shortcuts = {
{
name = "refactor",
description = "Refactor code with best practices",
details = "Automatically refactor code to improve readability, maintainability, and follow best practices while preserving functionality",
prompt = "Please refactor this code following best practices, improving readability and maintainability while preserving functionality."
},
{
name = "test",
description = "Generate unit tests",
details = "Create comprehensive unit tests covering edge cases, error scenarios, and various input conditions",
prompt = "Please generate comprehensive unit tests for this code, covering edge cases and error scenarios."
},
-- Add more custom shortcuts...
}
}
When you type #refactor in the input, it will automatically be replaced with the corresponding prompt text.
Configuration Example
Here's a complete blink.cmp configuration example with all Avante sources:
default = {
...
"avante_commands",
"avante_mentions",
"avante_shortcuts",
"avante_files",
}
providers = {
avante_commands = {
name = "avante_commands",
module = "blink.compat.source",
score_offset = 90, -- show at a higher priority than lsp
opts = {},
},
avante_files = {
name = "avante_files",
module = "blink.compat.source",
score_offset = 100, -- show at a higher priority than lsp
opts = {},
},
avante_mentions = {
name = "avante_mentions",
module = "blink.compat.source",
score_offset = 1000, -- show at a higher priority than lsp
opts = {},
},
avante_shortcuts = {
name = "avante_shortcuts",
module = "blink.compat.source",
score_offset = 1000, -- show at a higher priority than lsp
opts = {},
}
...
}
Usage
Using Claude Pro/Max Subscription
To login with your Claude subscription, set the auth_type of the Claude provider entry in your config to "max", re-open Neovim then the authentication process will start in your browser. Once logged in and authorized, a code will show that needs to be copied into the prompt in Neovim, which should then give access to use your subscription with Avante.
You may need to run AvanteSwitchProvider claude to initiate the authentication if you previously had a different provider selected.
-- Providers = { ...
claude = {
-- ...
auth_type = "max",
},
Basic Functionality
Given its early stage, avante.nvim currently supports the following basic functionalities:
[!IMPORTANT]
For most consistency between neovim session, it is recommended to set the environment variables in your shell file. By default,
Avantewill prompt you at startup to input the API key for the provider you have selected.Scoped API Keys (Recommended for Isolation)
Avante now supports scoped API keys, allowing you to isolate API keys specifically for Avante without affecting other applications. Simply prefix any API key with
AVANTE_:# Scoped keys (recommended) export AVANTE_ANTHROPIC_API_KEY=your-claude-api-key export AVANTE_OPENAI_API_KEY=your-openai-api-key export AVANTE_AZURE_OPENAI_API_KEY=your-azure-api-key export AVANTE_GEMINI_API_KEY=your-gemini-api-key export AVANTE_CO_API_KEY=your-cohere-api-key export AVANTE_AIHUBMIX_API_KEY=your-aihubmix-api-key export AVANTE_MOONSHOT_API_KEY=your-moonshot-api-keyGlobal API Keys (Legacy)
You can still use the traditional global API keys if you prefer:
For Claude:
export ANTHROPIC_API_KEY=your-api-keyFor OpenAI:
export OPENAI_API_KEY=your-api-keyFor Azure OpenAI:
export AZURE_OPENAI_API_KEY=your-api-keyFor Amazon Bedrock:
You can specify the
BEDROCK_KEYSenvironment variable to set credentials. When this variable is not specified, bedrock will use the default AWS credentials chain (see below).export BEDROCK_KEYS=aws_access_key_id,aws_secret_access_key,aws_region[,aws_session_token]Note: The aws_session_token is optional and only needed when using temporary AWS credentials
Alternatively Bedrock tries to resolve AWS credentials using the Default Credentials Provider Chain. This means you can have credentials e.g. configured via the AWS CLI, stored in your ~/.aws/profile, use AWS SSO etc. In this case
aws_regionand optionallyaws_profileshould be specified via the bedrock config, e.g.:bedrock = { model = "us.anthropic.claude-3-5-sonnet-20241022-v2:0", aws_profile = "bedrock", aws_region = "us-east-1", },Note: Bedrock requires the AWS CLI to be installed on your system.
- Open a code file in Neovim.
- Use the
:AvanteAskcommand to query the AI about the code. - Review the AI's suggestions.
- Apply the recommended changes directly to your code with a simple command or key binding.
Note: The plugin is still under active development, and both its functionality and interface are subject to significant changes. Expect some rough edges and instability as the project evolves.
Key Bindings
The following key bindings are available for use with avante.nvim:
| Key Binding | Description |
|---|---|
| Sidebar | |
| ]p | next prompt |
| [p | previous prompt |
| A | apply all |
| a | apply cursor |
| r | retry user request |
| e | edit user request |
| <Tab> | switch windows |
| <S-Tab> | reverse switch windows |
| d | remove file |
| @ | add file |
| q | close sidebar |
| Leaderaa | show sidebar |
| Leaderat | toggle sidebar visibility |
| Leaderar | refresh sidebar |
| Leaderaf | switch sidebar focus |
| Suggestion | |
| Leadera? | select model |
| Leaderan | new ask |
| Leaderae | edit selected blocks |
| LeaderaS | stop current AI request |
| Leaderah | select between chat histories |
| <M-l> | accept suggestion |
| <M-]> | next suggestion |
| <M-[> | previous suggestion |
| <C-]> | dismiss suggestion |
| Leaderad | toggle debug mode |
| Leaderas | toggle suggestion display |
| LeaderaR | toggle repomap |
| Files | |
| Leaderac | add current buffer to selected files |
| LeaderaB | add all buffer files to selected files |
| Diff | |
| co | choose ours |
| ct | choose theirs |
| ca | choose all theirs |
| cb | choose both |
| cc | choose cursor |
| ]x | move to next conflict |
| [x | move to previous conflict |
| Confirm | |
| Ctrlwf | focus confirm window |
| c | confirm code |
| r | confirm response |
| i | confirm input |
[!NOTE]
If you are using
lazy.nvim, then all keymap here will be safely set, meaning if<leader>aais already binded, then avante.nvim won't bind this mapping. In this case, user will be responsible for setting up their own. See notes on keymaps for more details.
Neotree shortcut
In the neotree sidebar, you can also add a new keyboard shortcut to quickly add file/folder to Avante Selected Files.
Neotree configuration
return {
{
'nvim-neo-tree/neo-tree.nvim',
config = function()
require('neo-tree').setup({
filesystem = {
commands = {
avante_add_files = function(state)
local node = state.tree:get_node()
local filepath = node:get_id()
local relative_path = require('avante.utils').relative_path(filepath)
local sidebar = require('avante').get()
local open = sidebar:is_open()
-- ensure avante sidebar is open
if not open then
require('avante.api').ask()
sidebar = require('avante').get()
end
sidebar.file_selector:add_selected_file(relative_path)
-- remove neo tree buffer
if not open then
sidebar.file_selector:remove_selected_file('neo-tree filesystem [1]')
end
end,
},
window = {
mappings = {
['oa'] = 'avante_add_files',
},
},
},
})
end,
},
}
Commands
| Command | Description | Examples |
|---|---|---|
:AvanteAsk [question] [position] | Ask AI about your code. Optional position set window position and ask enable/disable direct asking mode | :AvanteAsk position=right Refactor this code here |
:AvanteBuild | Build dependencies for the project | |
:AvanteChat | Start a chat session with AI about your codebase. Default is ask=false | |
:AvanteChatNew | Start a new chat session. The current chat can be re-opened with the chat session selector | |
:AvanteHistory | Opens a picker for your previous chat sessions | |
:AvanteClear | Clear the chat history for your current chat session | |
:AvanteEdit | Edit the selected code blocks | |
:AvanteFocus | Switch focus to/from the sidebar | |
:AvanteRefresh | Refresh all Avante windows | |
:AvanteStop | Stop the current AI request | |
:AvanteSwitchProvider | Switch AI provider (e.g. openai) | |
:AvanteShowRepoMap | Show repo map for project's structure | |
:AvanteToggle | Toggle the Avante sidebar | |
:AvanteModels | Show model list | |
:AvanteSwitchSelectorProvider | Switch avante selector provider (e.g. native, telescope, fzf_lua, mini_pick, snacks) |
Highlight Groups
| Highlight Group | Description | Notes |
|---|---|---|
| AvanteTitle | Title | |
| AvanteReversedTitle | Used for rounded border | |
| AvanteSubtitle | Selected code title | |
| AvanteReversedSubtitle | Used for rounded border | |
| AvanteThirdTitle | Prompt title | |
| AvanteReversedThirdTitle | Used for rounded border | |
| AvanteConflictCurrent | Current conflict highlight | Default to Config.highlights.diff.current |
| AvanteConflictIncoming | Incoming conflict highlight | Default to Config.highlights.diff.incoming |
| AvanteConflictCurrentLabel | Current conflict label highlight | Default to shade of AvanteConflictCurrent |
| AvanteConflictIncomingLabel | Incoming conflict label highlight | Default to shade of AvanteConflictIncoming |
| AvantePopupHint | Usage hints in popup menus | |
| AvanteInlineHint | The end-of-line hint displayed in visual mode | |
| AvantePromptInput | The body highlight of the prompt input | |
| AvantePromptInputBorder | The border highlight of the prompt input | Default to NormalFloat |
See highlights.lua for more information
Fast Apply
Fast Apply is a feature that enables instant code edits with high accuracy by leveraging specialized models. It replicates Cursor's instant apply functionality, allowing for seamless code modifications without the typical delays associated with traditional code generation.
Purpose and Benefits
Fast Apply addresses the common pain point of slow code application in AI-assisted development. Instead of waiting for a full language model to process and apply changes, Fast Apply uses a specialized "apply model" that can quickly and accurately merge code edits with 96-98% accuracy at speeds of 2500-4500+ tokens per second.
Key benefits:
- Instant application: Code changes are applied immediately without noticeable delays
- High accuracy: Specialized models achieve 96-98% accuracy for code edits
- Seamless workflow: Maintains the natural flow of development without interruptions
- Large context support: Handles up to 16k tokens for both input and output
Configuration
To enable Fast Apply, you need to:
-
Enable Fast Apply in your configuration:
behaviour = { enable_fastapply = true, -- Enable Fast Apply feature }, -- ... other configuration -
Get your Morph API key: Go to morphllm.com and create an account and get the API key.
-
Set your Morph API key:
export MORPH_API_KEY="your-api-key" -
Change Morph model:
providers = { morph = { model = "morph-v3-large", }, }
Model Options
Morph provides different models optimized for different use cases:
| Model | Speed | Accuracy | Context Limit |
|---|---|---|---|
morph-v3-fast | 4500+ tok/sec | 96% | 16k tokens |
morph-v3-large | 2500+ tok/sec | 98% | 16k tokens |
auto | 2500-4500 tok/sec | 98% | 16k tokens |
How It Works
When Fast Apply is enabled and a Morph provider is configured, avante.nvim will:
- Use the
edit_filetool for code modifications instead of traditional tools - Send the original code, edit instructions, and update snippet to the Morph API
- Receive the fully merged code back from the specialized apply model
- Apply the changes directly to your files with high accuracy
The process uses a specialized prompt format that includes:
<instructions>: Clear description of what changes to make<code>: The original code content<update>: The specific changes using truncation markers (// ... existing code ...)
This approach ensures that the apply model can quickly and accurately merge your changes without the overhead of full code generation.
Ollama
Ollama is a first-class provider for avante.nvim. To start using it you need to set provider = "ollama"
in the configuration, set the model field in ollama to the model you want to use. Ollama is disabled
by default, you need to provide an implementation for its is_env_set method to properly enable it.
For example:
provider = "ollama",
providers = {
ollama = {
model = "qwq:32b",
is_env_set = require("avante.providers.ollama").check_endpoint_alive,
},
}
ACP Support
Avante.nvim now supports the Agent Client Protocol (ACP), enabling seamless integration with AI agents that follow this standardized communication protocol. ACP provides a unified way for AI agents to interact with development environments, offering enhanced capabilities for code editing, file operations, and tool execution.
What is ACP?
The Agent Client Protocol (ACP) is a standardized protocol that enables AI agents to communicate with development tools and environments. It provides:
- Standardized Communication: A unified JSON-RPC based protocol for agent-client interactions
- Tool Integration: Support for various development tools like file operations, code execution, and search
- Session Management: Persistent sessions that maintain context across interactions
- Permission System: Granular control over what agents can access and modify
Enabling ACP
To use ACP-compatible agents with Avante.nvim, you need to configure an ACP provider. Here are the currently supported ACP agents:
Gemini CLI with ACP
{
provider = "gemini-cli",
-- other configuration options...
}
Claude Code with ACP
{
provider = "claude-code",
-- other configuration options...
}
Goose with ACP
{
provider = "goose",
-- other configuration options...
}
Codex with ACP
{
provider = "codex",
-- other configuration options...
}
Kimi CLI with ACP
{
provider = "kimi-cli",
-- other configuration options...
}
ACP Configuration
ACP providers are configured in the acp_providers section of your configuration:
{
acp_providers = {
["gemini-cli"] = {
command = "gemini",
args = { "--experimental-acp" },
env = {
NODE_NO_WARNINGS = "1",
GEMINI_API_KEY = os.getenv("GEMINI_API_KEY"),
},
},
["claude-code"] = {
command = "claude-agent-acp",
args = { },
env = {
NODE_NO_WARNINGS = "1",
ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY"),
},
},
["goose"] = {
command = "goose",
args = { "acp" },
},
["codex"] = {
command = "codex-acp",
args = {},
env = {
NODE_NO_WARNINGS = "1",
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY"),
},
},
},
-- other configuration options...
}
Prerequisites
Before using ACP agents, ensure you have the required tools installed:
- For Gemini CLI: Install the
geminiCLI tool and set yourGEMINI_API_KEY - For Claude Code: Install the
acp-claude-codepackage via npm and set yourANTHROPIC_API_KEY
ACP vs Traditional Providers
ACP providers offer several advantages over traditional API-based providers:
- Enhanced Tool Access: Agents can directly interact with your file system, run commands, and access development tools
- Persistent Context: Sessions maintain state across multiple interactions
- Fine-grained Permissions: Control exactly what agents can access and modify
- Standardized Protocol: Compatible with any ACP-compliant agent
Custom providers
Avante provides a set of default providers, but users can also create their own providers.
For more information, see Custom Providers
RAG Service
Avante provides a RAG service, which is a tool for obtaining the required context for the AI to generate the codes. By default, it is not enabled. You can enable it this way:
rag_service = { -- RAG Service configuration
enabled = false, -- Enables the RAG service
host_mount = os.getenv("HOME"), -- Host mount path for the rag service (Docker will mount this path)
runner = "docker", -- Runner for the RAG service (can use docker or nix)
llm = { -- Language Model (LLM) configuration for RAG service
provider = "openai", -- LLM provider
endpoint = "https://api.openai.com/v1", -- LLM API endpoint
api_key = "OPENAI_API_KEY", -- Environment variable name for the LLM API key
model = "gpt-4o-mini", -- LLM model name
extra = nil, -- Additional configuration options for LLM
},
embed = { -- Embedding model configuration for RAG service
provider = "openai", -- Embedding provider
endpoint = "https://api.openai.com/v1", -- Embedding API endpoint
api_key = "OPENAI_API_KEY", -- Environment variable name for the embedding API key
model = "text-embedding-3-large", -- Embedding model name
extra = {
max_embedding_tokens = 512, -- Maximum tokens per chunk sent to the embedding model
},
},
docker_extra_args = "", -- Extra arguments to pass to the docker command
},
The RAG Service can currently configure the LLM and embedding models separately. In the llm and embed configuration blocks, you can set the following fields:
provider: Model provider (e.g., "openai", "ollama", "dashscope", and "openrouter")endpoint: API endpointapi_key: Environment variable name for the API keymodel: Model nameextra: Additional configuration options
For detailed configuration of different model providers, you can check here.
Additionally, RAG Service also depends on Docker! (For macOS users, OrbStack is recommended as a Docker alternative).
host_mount is the path that will be mounted to the container, and the default is the home directory. The mount is required
for the RAG service to access the files in the host machine. It is up to the user to decide if you want to mount the whole
/ directory, just the project directory, or the home directory. If you plan using avante and RAG event for projects
stored outside your home directory, you will need to set the host_mount to the root directory of your file system.
The mount will be read only.
After changing the rag_service configuration, you need to manually delete the rag_service container to ensure the new configuration is used: docker rm -fv avante-rag-service
Web Search Engines
Avante's tools include some web search engines, currently support:
- Tavily
- SerpApi - Search API
- Google's Programmable Search Engine
- Kagi
- Brave Search
- SearXNG
The default is Tavily, and can be changed through configuring Config.web_search_engine.provider:
web_search_engine = {
provider = "tavily", -- tavily, serpapi, google, kagi, brave, or searxng
proxy = nil, -- proxy support, e.g., http://127.0.0.1:7890
}
Environment variables required for providers:
- Tavily:
TAVILY_API_KEY - SerpApi:
SERPAPI_API_KEY - Google:
GOOGLE_SEARCH_API_KEYas the API keyGOOGLE_SEARCH_ENGINE_IDas the search engine ID
- Kagi:
KAGI_API_KEYas the API Token - Brave Search:
BRAVE_API_KEYas the API key - SearXNG:
SEARXNG_API_URLas the API URL
Disable Tools
Avante enables tools by default, but some LLM models do not support tools. You can disable tools by setting disable_tools = true for the provider. For example:
providers = {
claude = {
endpoint = "https://api.anthropic.com",
model = "claude-sonnet-4-20250514",
timeout = 30000, -- Timeout in milliseconds
disable_tools = true, -- disable tools!
extra_request_body = {
temperature = 0,
max_tokens = 4096,
}
}
}
In case you want to ban some tools to avoid its usage (like Claude 3.7 overusing the python tool) you can disable just specific tools
{
disabled_tools = { "python" },
}
Tool list
rag_search, python, git_diff, git_commit, glob, search_keyword, read_file_toplevel_symbols, read_file, create_file, move_path, copy_path, delete_path, create_dir, bash, web_search, fetch
Custom Tools
Avante allows you to define custom tools that can be used by the AI during code generation and analysis. These tools can execute shell commands, run scripts, or perform any custom logic you need.
Example: Go Test Runner
Here's an example of a custom tool that runs Go unit tests:
{
custom_tools = {
{
name = "run_go_tests", -- Unique name for the tool
description = "Run Go unit tests and return results", -- Description shown to AI
command = "go test -v ./...", -- Shell command to execute
param = { -- Input parameters (optional)
type = "table",
fields = {
{
name = "target",
description = "Package or directory to test (e.g. './pkg/...' or './internal/pkg')",
type = "string",
optional = true,
},
},
},
returns = { -- Expected return values
{
name = "result",
description = "Result of the fetch",
type = "string",
},
{
name = "error",
description = "Error message if the fetch was not successful",
type = "string",
optional = true,
},
},
func = function(params, on_log, on_complete) -- Custom function to execute
local target = params.target or "./..."
return vim.system({ "go", "test", "-v", target }, { text = true }):wait().stdout
end,
},
},
}
MCP
Now you can integrate MCP functionality for Avante through mcphub.nvim. For detailed documentation, please refer to mcphub.nvim
Custom prompts
By default, avante.nvim provides three different modes to interact with: planning, editing, and suggesting, followed with three different prompts per mode.
planning: Used withrequire("avante").toggle()on sidebarediting: Used withrequire("avante").edit()on selection codeblocksuggesting: Used withrequire("avante").get_suggestion():suggest()on Tab flow.cursor-planning: Used withrequire("avante").toggle()on Tab flow, but only when cursor planning mode is enabled.
Users can customize the system prompts via Config.system_prompt or Config.override_prompt_dir.
Config.system_prompt allows you to set a global system prompt. We recommend calling this in a custom Autocmds depending on your need:
vim.api.nvim_create_autocmd("User", {
pattern = "ToggleMyPrompt",
callback = function() require("avante.config").override({system_prompt = "MY CUSTOM SYSTEM PROMPT"}) end,
})
vim.keymap.set("n", "<leader>am", function() vim.api.nvim_exec_autocmds("User", { pattern = "ToggleMyPrompt" }) end, { desc = "avante: toggle my prompt" })
Config.override_prompt_dir allows you to specify a directory containing your own custom prompt templates, which will override the built-in templates. This is useful if you want to maintain a set of custom prompts outside of your Neovim configuration. It can be a string representing the directory path, or a function that returns a string representing the directory path.
-- Example: Override with prompts from a specific directory
require("avante").setup({
override_prompt_dir = vim.fn.expand("~/.config/nvim/avante_prompts"),
})
-- Example: Override with prompts from a function (dynamic directory)
require("avante").setup({
override_prompt_dir = function()
-- Your logic to determine the prompt directory
return vim.fn.expand("~/.config/nvim/my_dynamic_prompts")
end,
})
[!WARNING]
If you customize
base.avanterules, please ensure that{% block custom_prompt %}{% endblock %}and{% block extra_prompt %}{% endblock %}exist, otherwise the entire plugin may become unusable. If you are unsure about the specific reasons or what you are doing, please do not override the built-in prompts. The built-in prompts work very well.
If you wish to custom prompts for each mode, avante.nvim will check for project root based on the given buffer whether it contains
the following patterns: *.{mode}.avanterules.
The rules for root hierarchy:
- lsp workspace folders
- lsp root_dir
- root pattern of filename of the current buffer
- root pattern of cwd
You can also configure custom directories for your avanterules files using the rules option:
require('avante').setup({
rules = {
project_dir = '.avante/rules', -- relative to project root, can also be an absolute path
global_dir = '~/.config/avante/rules', -- absolute path
},
})
The loading priority is as follows:
rules.project_dirrules.global_dir- Project root
Example folder structure for custom prompt
If you have the following structure:
.
├── .git/
├── typescript.planning.avanterules
├── snippets.editing.avanterules
├── suggesting.avanterules
└── src/
typescript.planning.avanteruleswill be used forplanningmodesnippets.editing.avanteruleswill be used foreditingmodesuggesting.avanteruleswill be used forsuggestingmode.
[!important]
*.avanterulesis a jinja template file, in which will be rendered using minijinja. See templates for example on how to extend current templates.
Integration
Avante.nvim can be extended to work with other plugins by using its extension modules. Below is an example of integrating Avante with nvim-tree, allowing you to select or deselect files directly from the NvimTree UI:
{
"yetone/avante.nvim",
event = "VeryLazy",
keys = {
{
"<leader>a+",
function()
local tree_ext = require("avante.extensions.nvim_tree")
tree_ext.add_file()
end,
desc = "Select file in NvimTree",
ft = "NvimTree",
},
{
"<leader>a-",
function()
local tree_ext = require("avante.extensions.nvim_tree")
tree_ext.remove_file()
end,
desc = "Deselect file in NvimTree",
ft = "NvimTree",
},
},
opts = {
--- other configurations
selector = {
exclude_auto_select = { "NvimTree" },
},
},
}
TODOs
- Chat with current file
- Apply diff patch
- Chat with the selected block
- Slash commands
- Edit the selected block
- Smart Tab (Cursor Flow)
- Chat with project (You can use
@codebaseto chat with the whole project) - Chat with selected files
- Tool use
- MCP
- ACP
- Better codebase indexing
Roadmap
- Enhanced AI Interactions: Improve the depth of AI analysis and recommendations for more complex coding scenarios.
- LSP + Tree-sitter + LLM Integration: Integrate with LSP and Tree-sitter and LLM to provide more accurate and powerful code suggestions and analysis.
FAQ
How to disable agentic mode?
Avante.nvim provides two interaction modes:
agentic(default): Uses AI tools to automatically generate and apply code changeslegacy: Uses the traditional planning method without automatic tool execution
To disable agentic mode and switch to legacy mode, update your configuration:
{
mode = "legacy", -- Switch from "agentic" to "legacy"
-- ... your other configuration options
}
What's the difference?
- Agentic mode: AI can automatically execute tools like file operations, bash commands, web searches, etc. to complete complex tasks
- Legacy mode: AI provides suggestions and plans but requires manual approval for all actions
When should you use legacy mode?
- If you prefer more control over what actions the AI takes
- If you're concerned about security with automatic tool execution
- If you want to manually review each step before applying changes
- If you're working in a sensitive environment where automatic code changes aren't desired
You can also disable specific tools while keeping agentic mode enabled by configuring disabled_tools:
{
mode = "agentic",
disabled_tools = { "bash", "python" }, -- Disable specific tools
-- ... your other configuration options
}
Contributing
Contributions to avante.nvim are welcome! If you're interested in helping out, please feel free to submit pull requests or open issues.
See wiki for more recipes and tricks.
Acknowledgments
We would like to express our heartfelt gratitude to the contributors of the following open-source projects, whose code has provided invaluable inspiration and reference for the development of avante.nvim:
| Nvim Plugin | License | Functionality | Location |
|---|---|---|---|
| git-conflict.nvim | No License | Diff comparison functionality | lua/avante/diff.lua |
| ChatGPT.nvim | Apache 2.0 License | Calculation of tokens count | lua/avante/utils/tokens.lua |
| img-clip.nvim | MIT License | Clipboard image support | lua/avante/clipboard.lua |
| copilot.lua | MIT License | Copilot support | lua/avante/providers/copilot.lua |
| jinja.vim | MIT License | Template filetype support | syntax/jinja.vim |
| codecompanion.nvim | MIT License | Secrets logic support | lua/avante/providers/init.lua |
| aider | Apache 2.0 License | Planning mode user prompt | lua/avante/templates/planning.avanterules |
The high quality and ingenuity of these projects' source code have been immensely beneficial throughout our development process. We extend our sincere thanks and respect to the authors and contributors of these projects. It is the selfless dedication of the open-source community that drives projects like avante.nvim forward.
Business Sponsors
|
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License
avante.nvim is licensed under the Apache 2.0 License. For more details, please refer to the LICENSE file.
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Đọc thêm về yetone/avante.nvim ở đâu?
Trang TopGit này là một snapshot — tab "Readme" hiển thị nguyên văn README của repo (đã bỏ link, giữ ảnh). Repo GitHub ở github.com/yetone/avante.nvim là nguồn chính thức.
yetone/avante.nvim có bao nhiêu sao?
yetone/avante.nvim có 18.1k sao GitHub — tải lại trang để xem số mới nhất, hoặc xem trực tiếp github.com/yetone/avante.nvim. TopGit phản chiếu số sao của GitHub nhưng không cam kết đến từng phút.
yetone/avante.nvim có phải mã nguồn mở không?
Có — yetone/avante.nvim phát hành theo license Apache-2.0, nghĩa là mã nguồn mở để đọc, fork và (tùy license) tái sử dụng. Mã: github.com/yetone/avante.nvim.
yetone/avante.nvim còn đang phát triển không?
Commit gần nhất trên yetone/avante.nvim là 20 ngày trước (theo timestamp GitHub). Repo có 842 fork — một chỉ báo về mức độ quan tâm của cộng đồng.
yetone/avante.nvim là gì?
yetone/avante.nvim (yetone/avante.nvim) là dự án Lua trên GitHub. Theo mô tả gốc: Use your Neovim like using Cursor AI IDE!
Đọc đầy đủ README ở tab phía trên.
Chưa chắc avante.nvim có hợp với bạn?
Để ChatGPT, Claude hoặc Perplexity tìm hiểu giúp — bấm bên dưới và xem AI nói gì về avante.nvim.