avante.nvim
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yetone
bug: edit mode fails to apply edits/deletes codeblocks
Describe the bug
Error 13:33:01 msg_show.lua_error Error executing vim.schedule lua callback: ...cal/share/nvim/lazy/avante.nvim/lua/avante/selection.lua:164: Vim:Error executing lua callback: ...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: attempt to get length of local 'prev_line' (a nil value)
stack traceback:
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: in function 'compute_end_range'
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:401: in function 'compute_diff'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:106: in function 'incremental_changes'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:311: in function 'send_changes_for_group'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:348: in function 'send_changes'
.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:869: in function <.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:863>
[C]: in function 'nvim_buf_set_lines'
...cal/share/nvim/lazy/avante.nvim/lua/avante/selection.lua:164: in function ''
vim/_editor.lua: in function <vim/_editor.lua:0>
stack traceback:
[C]: in function 'nvim_buf_set_lines'
...cal/share/nvim/lazy/avante.nvim/lua/avante/selection.lua:164: in function ''
vim/_editor.lua: in function <vim/_editor.lua:0>
Error 13:33:03 msg_show.lua_error Error executing lua callback: ...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: attempt to get length of local 'prev_line' (a nil value)
stack traceback:
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: in function 'compute_end_range'
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:401: in function 'compute_diff'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:106: in function 'incremental_changes'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:311: in function 'send_changes_for_group'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:348: in function 'send_changes'
.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:869: in function <.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:863>
Error 13:33:03 msg_show.lua_error Error executing lua callback: ...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: attempt to get length of local 'prev_line' (a nil value)
stack traceback:
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: in function 'compute_end_range'
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:401: in function 'compute_diff'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:106: in function 'incremental_changes'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:311: in function 'send_changes_for_group'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:348: in function 'send_changes'
.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:869: in function <.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:863>
Error 13:33:03 msg_show.lua_error Error executing lua callback: ...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: attempt to get length of local 'prev_line' (a nil value)
stack traceback:
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:195: in function 'compute_end_range'
...ar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp/sync.lua:401: in function 'compute_diff'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:106: in function 'incremental_changes'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:311: in function 'send_changes_for_group'
....11.0/share/nvim/runtime/lua/vim/lsp/_changetracking.lua:348: in function 'send_changes'
.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:869: in function <.../Cellar/neovim/0.11.0/share/nvim/runtime/lua/vim/lsp.lua:863>
13:33:03 msg_show 12 more lines; before #6 2 seconds ago
To reproduce
attempt edit mode on any code block
Expected behavior
successful edit
Installation method
Use lazy.nvim:
return {
"yetone/avante.nvim",
event = "VeryLazy",
version = false, -- Never set this value to "*"! Never!
opts = {
-- add any opts here
-- for example
provider = "gemini",
auto_suggestions_provider = "openrouterquick",
-- cursor_applying_provider = "groq",
web_search_engine = {
provider = "tavily", -- tavily, serpapi, searchapi, google or kagi
},
mappings = {
ask = "<leader>ak", -- ask
edit = "<leader>ae", -- edit
-- refresh
},
system_prompt = function()
local hub = require("mcphub").get_hub_instance()
return hub:get_active_servers_prompt()
end,
-- Add your custom_tools function
custom_tools = function()
return {
require("mcphub.extensions.avante").mcp_tool(),
}
end,
azure = {
endpoint = "https://models.inference.ai.azure.com", -- example: "https://<your-resource-name>.openai.azure.com"
deployment = "", -- Azure deployment name (e.g., "gpt-4o", "my-gpt-4o-deployment")
api_version = "2024-12-01-preview",
timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
temperature = 0,
api_key_name = "GITHUB_TOKEN",
model = "chatgpt",
-- Increase this to include reasoning tokens (for reasoning models)
reasoning_effort = "high", -- low|medium|high, only used for reasoning models
},
openai = {
endpoint = "https://api.openai.com/v1",
model = "o3-mini-high", -- your desired model (or use gpt-4o, etc.)
timeout = 600000, -- Timeout in milliseconds, increase this for reasoning models
temperature = 0,
api_key_name = "OPENAI_API_KEY",
--
max_tokens = 16384, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
claude = {
-- endpoint = "https://api.openai.com/v1",
-- model = "gpt-4o", -- your desired model (or use gpt-4o, etc.)
-- timeout = 3000:0, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
api_key_name = "ANTHROPIC_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
groq = {
api_key_name = "GROQ_API_KEY",
endpoint = "https://api.groq.com/openai/v1/",
model = "llama-3.3-70b-versatile",
max_completion_tokens = 128000,
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
openrouterthink = {
-- endpoint = "https://api.openai.com/v1",
model = "deepseek/deepseek-r1:free", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
timeout = 600000,
api_key_name = "OPENROUTER_API_KEY",
max_completion_tokens = 64000,
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
copilot = {
-- endpoint = "https://api.openai.com/v1",
model = "claude-3.7-sonnet", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
copilotthink = {
-- endpoint = "https://api.openai.com/v1",
model = "claude-3.7-sonnet-thought", -- your desired model (or use gpt-4o, etc.)
timeout = 600000,
max_completion_tokens = 64000,
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
reasoning_effort = "high", -- low|medium|high, only used for reasoning models
},
gemini = {
-- endpoint = "https://api.openai.com/v1",
model = "gemini-2.5-pro-exp-03-25", -- your desired model (or use gpt-4o, etc.)
-- disabled_tools = { "str_replace" },
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
max_tokens = 64000, -- Increase this to include reasoning tokens (for reasoning models
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
openrouterquick = {
-- endpoint = "https://api.openai.com/v1",
model = "deepseek/deepseek-chat-v3-0324:free", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
max_tokens = 64000, -- Increase this to include reasoning tokens (for reasoning models
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
vendors = {
copilotthink = {
__inherited_from = "copilot",
model = "claude-3.7-sonnet-thought", -- your desired model (or use gpt-4o, etc.)
max_completion_tokens = 128000,
},
groq = {
__inherited_from = "openai",
api_key_name = "GROQ_API_KEY",
endpoint = "https://api.groq.com/openai/v1/",
model = "llama-3.3-70b-versatile",
max_completion_tokens = 128000,
},
openrouterthink = {
__inherited_from = "openai",
endpoint = "https://openrouter.ai/api/v1",
api_key_name = "OPENROUTER_API_KEY",
model = "deepseek/deepseek-r1:free",
max_completion_tokens = 128000,
},
openrouterquick = {
__inherited_from = "openai",
endpoint = "https://openrouter.ai/api/v1",
api_key_name = "OPENROUTER_API_KEY",
model = "deepseek/deepseek-chat-v3-0324:free",
max_completion_tokens = 128000,
},
embed_model = "granite-embedding:30m", -- The embedding model to use for RAG service
endpoint = "http://localhost:11434", -- The API endpoint for RAG service
docker_extra_args = "", -- Extra arguments to pass to the docker command
},
dual_boost = {
enabled = false,
first_provider = "openrouterthink",
second_provider = "copilotthink",
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_focus_sidebar = true,
auto_suggestions = true, -- Experimental stage
auto_suggestions_respect_ignore = true,
auto_set_highlight_group = true,
auto_set_keymaps = true,
auto_apply_diff_after_generation = false,
jump_result_buffer_on_finish = false,
support_paste_from_clipboard = true,
minimize_diff = true,
enable_token_counting = true,
enable_cursor_planning_mode = false,
enable_claude_text_editor_tool_mode = false,
use_cwd_as_project_root = false,
},
file_selector = {
--- @alias FileSelectorProvider "native" | "fzf" | "mini.pick" | "snacks" | "telescope" | string | fun(params: avante.file_selector.IParams|nil): nil
provider = "fzf",
-- Options override for custom providers
provider_opts = {},
},
},
-- if you want to build from source then do `make BUILD_FROM_SOURCE=true`
build = "make",
-- build = "powershell -ExecutionPolicy Bypass -File Build.ps1 -BuildFromSource false" -- for windows
dependencies = {
"nvim-treesitter/nvim-treesitter",
"stevearc/dressing.nvim",
"nvim-lua/plenary.nvim",
"MunifTanjim/nui.nvim",
"ravitemer/mcphub.nvim",
--- The below dependencies are optional,
"echasnovski/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
"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,
},
},
},
},
}
Environment
➜ nvim -v NVIM v0.11.0 Build type: Release LuaJIT 2.1.1741730670 Run "nvim -V1 -v" for more info
➜ uname -a Darwin anons-MacBook-Pro.local 24.4.0 Darwin Kernel Version 24.4.0: Wed Mar 19 21:17:37 PDT 2025; root:xnu-11417.101.15~1/RELEASE_ARM64_T6031 arm64
Repro
vim.env.LAZY_STDPATH = ".repro"
load(vim.fn.system("curl -s https://raw.githubusercontent.com/folke/lazy.nvim/main/bootstrap.lua"))()
require("lazy.minit").repro({
spec = {
return {
"yetone/avante.nvim",
event = "VeryLazy",
version = false, -- Never set this value to "*"! Never!
opts = {
-- add any opts here
-- for example
provider = "gemini",
auto_suggestions_provider = "openrouterquick",
-- cursor_applying_provider = "groq",
web_search_engine = {
provider = "tavily", -- tavily, serpapi, searchapi, google or kagi
},
mappings = {
ask = "<leader>ak", -- ask
edit = "<leader>ae", -- edit
-- refresh
},
system_prompt = function()
local hub = require("mcphub").get_hub_instance()
return hub:get_active_servers_prompt()
end,
-- Add your custom_tools function
custom_tools = function()
return {
require("mcphub.extensions.avante").mcp_tool(),
}
end,
azure = {
endpoint = "https://models.inference.ai.azure.com", -- example: "https://<your-resource-name>.openai.azure.com"
deployment = "", -- Azure deployment name (e.g., "gpt-4o", "my-gpt-4o-deployment")
api_version = "2024-12-01-preview",
timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
temperature = 0,
api_key_name = "GITHUB_TOKEN",
model = "chatgpt",
-- Increase this to include reasoning tokens (for reasoning models)
reasoning_effort = "high", -- low|medium|high, only used for reasoning models
},
openai = {
endpoint = "https://api.openai.com/v1",
model = "o3-mini-high", -- your desired model (or use gpt-4o, etc.)
timeout = 600000, -- Timeout in milliseconds, increase this for reasoning models
temperature = 0,
api_key_name = "OPENAI_API_KEY",
--
max_tokens = 16384, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
claude = {
-- endpoint = "https://api.openai.com/v1",
-- model = "gpt-4o", -- your desired model (or use gpt-4o, etc.)
-- timeout = 3000:0, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
api_key_name = "ANTHROPIC_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
groq = {
api_key_name = "GROQ_API_KEY",
endpoint = "https://api.groq.com/openai/v1/",
model = "llama-3.3-70b-versatile",
max_completion_tokens = 128000,
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
openrouterthink = {
-- endpoint = "https://api.openai.com/v1",
model = "deepseek/deepseek-r1:free", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
timeout = 600000,
api_key_name = "OPENROUTER_API_KEY",
max_completion_tokens = 64000,
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
copilot = {
-- endpoint = "https://api.openai.com/v1",
model = "claude-3.7-sonnet", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
copilotthink = {
-- endpoint = "https://api.openai.com/v1",
model = "claude-3.7-sonnet-thought", -- your desired model (or use gpt-4o, etc.)
timeout = 600000,
max_completion_tokens = 64000,
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
reasoning_effort = "high", -- low|medium|high, only used for reasoning models
},
gemini = {
-- endpoint = "https://api.openai.com/v1",
model = "gemini-2.5-pro-exp-03-25", -- your desired model (or use gpt-4o, etc.)
-- disabled_tools = { "str_replace" },
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
max_tokens = 64000, -- Increase this to include reasoning tokens (for reasoning models
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
openrouterquick = {
-- endpoint = "https://api.openai.com/v1",
model = "deepseek/deepseek-chat-v3-0324:free", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
max_tokens = 64000, -- Increase this to include reasoning tokens (for reasoning models
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
vendors = {
copilotthink = {
__inherited_from = "copilot",
model = "claude-3.7-sonnet-thought", -- your desired model (or use gpt-4o, etc.)
max_completion_tokens = 128000,
},
groq = {
__inherited_from = "openai",
api_key_name = "GROQ_API_KEY",
endpoint = "https://api.groq.com/openai/v1/",
model = "llama-3.3-70b-versatile",
max_completion_tokens = 128000,
},
openrouterthink = {
__inherited_from = "openai",
endpoint = "https://openrouter.ai/api/v1",
api_key_name = "OPENROUTER_API_KEY",
model = "deepseek/deepseek-r1:free",
max_completion_tokens = 128000,
},
openrouterquick = {
__inherited_from = "openai",
endpoint = "https://openrouter.ai/api/v1",
api_key_name = "OPENROUTER_API_KEY",
model = "deepseek/deepseek-chat-v3-0324:free",
max_completion_tokens = 128000,
},
embed_model = "granite-embedding:30m", -- The embedding model to use for RAG service
endpoint = "http://localhost:11434", -- The API endpoint for RAG service
docker_extra_args = "", -- Extra arguments to pass to the docker command
},
dual_boost = {
enabled = false,
first_provider = "openrouterthink",
second_provider = "copilotthink",
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_focus_sidebar = true,
auto_suggestions = true, -- Experimental stage
auto_suggestions_respect_ignore = true,
auto_set_highlight_group = true,
auto_set_keymaps = true,
auto_apply_diff_after_generation = false,
jump_result_buffer_on_finish = false,
support_paste_from_clipboard = true,
minimize_diff = true,
enable_token_counting = true,
enable_cursor_planning_mode = false,
enable_claude_text_editor_tool_mode = false,
use_cwd_as_project_root = false,
},
file_selector = {
--- @alias FileSelectorProvider "native" | "fzf" | "mini.pick" | "snacks" | "telescope" | string | fun(params: avante.file_selector.IParams|nil): nil
provider = "fzf",
-- Options override for custom providers
provider_opts = {},
},
},
-- if you want to build from source then do `make BUILD_FROM_SOURCE=true`
build = "make",
-- build = "powershell -ExecutionPolicy Bypass -File Build.ps1 -BuildFromSource false" -- for windows
dependencies = {
"nvim-treesitter/nvim-treesitter",
"stevearc/dressing.nvim",
"nvim-lua/plenary.nvim",
"MunifTanjim/nui.nvim",
"ravitemer/mcphub.nvim",
--- The below dependencies are optional,
"echasnovski/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
"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,
},
},
},
},
})
idk how to make repro.lua work
figured out repro
-- Set custom lazy.nvim path
vim.env.LAZY_STDPATH = ".repro"
-- Bootstrap lazy.nvim
local lazypath = vim.fn.stdpath("data") .. "/lazy/lazy.nvim"
if not vim.loop.fs_stat(lazypath) then
vim.fn.system({
"git",
"clone",
"--filter=blob:none",
"https://github.com/folke/lazy.nvim.git",
"--branch=stable",
lazypath,
})
end
vim.opt.rtp:prepend(lazypath)
-- Initialize lazy.nvim with your configuration
require("lazy").setup({
{
"yetone/avante.nvim",
event = "VeryLazy",
version = false, -- Never set this value to "*"! Never!
opts = {
-- add any opts here
-- for example
provider = "gemini",
auto_suggestions_provider = "openrouterquick",
-- cursor_applying_provider = "groq",
web_search_engine = {
provider = "tavily", -- tavily, serpapi, searchapi, google or kagi
},
mappings = {
ask = "<leader>ak", -- ask
edit = "<leader>ae", -- edit
-- refresh
},
azure = {
endpoint = "https://models.inference.ai.azure.com", -- example: "https://<your-resource-name>.openai.azure.com"
deployment = "", -- Azure deployment name (e.g., "gpt-4o", "my-gpt-4o-deployment")
api_version = "2024-12-01-preview",
timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
temperature = 0,
api_key_name = "GITHUB_TOKEN",
model = "chatgpt",
-- Increase this to include reasoning tokens (for reasoning models)
reasoning_effort = "high", -- low|medium|high, only used for reasoning models
},
openai = {
endpoint = "https://api.openai.com/v1",
model = "o3-mini-high", -- your desired model (or use gpt-4o, etc.)
timeout = 600000, -- Timeout in milliseconds, increase this for reasoning models
temperature = 0,
api_key_name = "OPENAI_API_KEY",
--
max_tokens = 16384, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
claude = {
-- endpoint = "https://api.openai.com/v1",
-- model = "gpt-4o", -- your desired model (or use gpt-4o, etc.)
-- timeout = 3000:0, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
api_key_name = "ANTHROPIC_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
groq = {
api_key_name = "GROQ_API_KEY",
endpoint = "https://api.groq.com/openai/v1/",
model = "llama-3.3-70b-versatile",
max_completion_tokens = 128000,
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
openrouterthink = {
-- endpoint = "https://api.openai.com/v1",
model = "deepseek/deepseek-r1:free", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
timeout = 600000,
api_key_name = "OPENROUTER_API_KEY",
max_completion_tokens = 64000,
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
copilot = {
-- endpoint = "https://api.openai.com/v1",
model = "claude-3.7-sonnet", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
copilotthink = {
-- endpoint = "https://api.openai.com/v1",
model = "claude-3.7-sonnet-thought", -- your desired model (or use gpt-4o, etc.)
timeout = 600000,
max_completion_tokens = 64000,
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
-- max_completion_tokens = 8192, -- Increase this to include reasoning tokens (for reasoning models)
reasoning_effort = "high", -- low|medium|high, only used for reasoning models
},
gemini = {
-- endpoint = "https://api.openai.com/v1",
model = "gemini-2.5-pro-exp-03-25", -- your desired model (or use gpt-4o, etc.)
-- disabled_tools = { "str_replace" },
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
max_tokens = 64000, -- Increase this to include reasoning tokens (for reasoning models
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
openrouterquick = {
-- endpoint = "https://api.openai.com/v1",
model = "deepseek/deepseek-chat-v3-0324:free", -- your desired model (or use gpt-4o, etc.)
-- timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
-- temperature = 0,
-- api_key_name = "OPENROUTER_API_KEY",
max_tokens = 64000, -- Increase this to include reasoning tokens (for reasoning models
--reasoning_effort = "medium", -- low|medium|high, only used for reasoning models
},
vendors = {
copilotthink = {
__inherited_from = "copilot",
model = "claude-3.7-sonnet-thought", -- your desired model (or use gpt-4o, etc.)
max_completion_tokens = 128000,
},
groq = {
__inherited_from = "openai",
api_key_name = "GROQ_API_KEY",
endpoint = "https://api.groq.com/openai/v1/",
model = "llama-3.3-70b-versatile",
max_completion_tokens = 128000,
},
openrouterthink = {
__inherited_from = "openai",
endpoint = "https://openrouter.ai/api/v1",
api_key_name = "OPENROUTER_API_KEY",
model = "deepseek/deepseek-r1:free",
max_completion_tokens = 128000,
},
openrouterquick = {
__inherited_from = "openai",
endpoint = "https://openrouter.ai/api/v1",
api_key_name = "OPENROUTER_API_KEY",
model = "deepseek/deepseek-chat-v3-0324:free",
max_completion_tokens = 128000,
},
embed_model = "granite-embedding:30m", -- The embedding model to use for RAG service
endpoint = "http://localhost:11434", -- The API endpoint for RAG service
docker_extra_args = "", -- Extra arguments to pass to the docker command
},
dual_boost = {
enabled = false,
first_provider = "openrouterthink",
second_provider = "copilotthink",
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_focus_sidebar = true,
auto_suggestions = true, -- Experimental stage
auto_suggestions_respect_ignore = true,
auto_set_highlight_group = true,
auto_set_keymaps = true,
auto_apply_diff_after_generation = false,
jump_result_buffer_on_finish = false,
support_paste_from_clipboard = true,
minimize_diff = true,
enable_token_counting = true,
enable_cursor_planning_mode = false,
enable_claude_text_editor_tool_mode = false,
use_cwd_as_project_root = false,
},
file_selector = {
--- @alias FileSelectorProvider "native" | "fzf" | "mini.pick" | "snacks" | "telescope" | string | fun(params: avante.file_selector.IParams|nil): nil
provider = "fzf",
-- Options override for custom providers
provider_opts = {},
},
},
-- if you want to build from source then do `make BUILD_FROM_SOURCE=true`
build = "make",
-- build = "powershell -ExecutionPolicy Bypass -File Build.ps1 -BuildFromSource false" -- for windows
dependencies = {
"nvim-treesitter/nvim-treesitter",
"stevearc/dressing.nvim",
"nvim-lua/plenary.nvim",
"MunifTanjim/nui.nvim",
"ravitemer/mcphub.nvim",
--- The below dependencies are optional,
"echasnovski/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
"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,
},
},
},
},
},
})
edit, removing mcphub allows edits to go through
Looking at the error screenshot, it seems that there is an issue with the custom_system_prompt function in your configuration, unrelated to avante.
