feat: add ollama as supported provider (#1543)
* feat: add ollama as supported provider
*This implementation is only working with `stream = true`*
- Uses the actual ollama api and allows for passing additional options
- Properly passes the system prompt to api
Use ollama as provider in opts like this:
opts = {
debug = true,
provider = "ollama",
ollama = {
api_key_name = "",
endpoint = "http://127.0.0.1:11434",
model = "qwen2.5-coder:latest",
options = {
num_ctx = 32768,
temperature = 0,
},
stream = true,
},
* fix: ollama types
---------
Co-authored-by: jtabke <25010496+jtabke@users.noreply.github.com>
This commit is contained in:
11
README.md
11
README.md
@@ -683,6 +683,17 @@ return {
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See [highlights.lua](./lua/avante/highlights.lua) for more information
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## Ollama
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ollama is a first-class provider for avante.nvim. You can use it by setting `provider = "ollama"` in the configuration, and set the `model` field in `ollama` to the model you want to use. For example:
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```lua
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provider = "ollama",
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ollama = {
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model = "qwq:32b",
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}
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```
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## Custom providers
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Avante provides a set of default providers, but users can also create their own providers.
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@@ -20,7 +20,7 @@ local M = {}
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---@field custom_tools AvanteLLMToolPublic[]
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M._defaults = {
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debug = false,
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---@alias ProviderName "claude" | "openai" | "azure" | "gemini" | "vertex" | "cohere" | "copilot" | "bedrock" | string
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---@alias ProviderName "claude" | "openai" | "azure" | "gemini" | "vertex" | "cohere" | "copilot" | "bedrock" | "ollama" | string
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provider = "claude",
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-- WARNING: Since auto-suggestions are a high-frequency operation and therefore expensive,
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-- currently designating it as `copilot` provider is dangerous because: https://github.com/yetone/avante.nvim/issues/1048
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@@ -255,6 +255,15 @@ M._defaults = {
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temperature = 0,
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max_tokens = 4096,
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},
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---@type AvanteSupportedProvider
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ollama = {
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endpoint = "http://127.0.0.1:11434",
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timeout = 30000, -- Timeout in milliseconds
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options = {
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temperature = 0,
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num_ctx = 4096,
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},
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},
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---To add support for custom provider, follow the format below
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---See https://github.com/yetone/avante.nvim/wiki#custom-providers for more details
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---@type {[string]: AvanteProvider}
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@@ -18,6 +18,7 @@ local DressingState = { winid = nil, input_winid = nil, input_bufnr = nil }
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---@field gemini AvanteProviderFunctor
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---@field cohere AvanteProviderFunctor
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---@field bedrock AvanteBedrockProviderFunctor
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---@field ollama AvanteProviderFunctor
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local M = {}
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---@class EnvironmentHandler
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@@ -152,8 +153,13 @@ M = setmetatable(M, {
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__index = function(t, k)
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local provider_config = M.get_config(k)
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if Config.vendors[k] ~= nil and k == "ollama" then
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Utils.warn(
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"ollama is now a first-class provider in avante.nvim, please stop using vendors to define ollama, for migration guide please refer to: https://github.com/yetone/avante.nvim/wiki/Custom-providers#ollama"
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)
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end
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---@diagnostic disable: undefined-field,no-unknown,inject-field
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if Config.vendors[k] ~= nil then
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if Config.vendors[k] ~= nil and k ~= "ollama" then
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if provider_config.parse_response_data ~= nil then
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Utils.error("parse_response_data is not supported for avante.nvim vendors")
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end
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70
lua/avante/providers/ollama.lua
Normal file
70
lua/avante/providers/ollama.lua
Normal file
@@ -0,0 +1,70 @@
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local Utils = require("avante.utils")
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local P = require("avante.providers")
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---@class AvanteProviderFunctor
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local M = {}
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M.api_key_name = "" -- Ollama typically doesn't require API keys for local use
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M.role_map = {
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user = "user",
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assistant = "assistant",
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}
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M.parse_messages = P.openai.parse_messages
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M.is_o_series_model = P.openai.is_o_series_model
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function M:is_disable_stream() return false end
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function M:parse_stream_data(ctx, data, handler_opts)
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local ok, json_data = pcall(vim.json.decode, data)
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if not ok or not json_data then
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-- Add debug logging
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Utils.debug("Failed to parse JSON", data)
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return
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end
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if json_data.message and json_data.message.content then
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local content = json_data.message.content
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if content and content ~= "" then handler_opts.on_chunk(content) end
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end
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if json_data.done then
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handler_opts.on_stop({ reason = "complete" })
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return
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end
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end
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---@param prompt_opts AvantePromptOptions
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function M:parse_curl_args(prompt_opts)
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local provider_conf, request_body = P.parse_config(self)
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if not provider_conf.model or provider_conf.model == "" then error("Ollama model must be specified in config") end
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if not provider_conf.endpoint then error("Ollama requires endpoint configuration") end
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return {
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url = Utils.url_join(provider_conf.endpoint, "/api/chat"),
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headers = {
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["Content-Type"] = "application/json",
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["Accept"] = "application/json",
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},
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body = vim.tbl_deep_extend("force", {
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model = provider_conf.model,
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messages = self:parse_messages(prompt_opts),
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stream = true,
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system = prompt_opts.system_prompt,
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}, request_body),
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}
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end
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---@param result table
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M.on_error = function(result)
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local error_msg = "Ollama API error"
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if result.body then
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local ok, body = pcall(vim.json.decode, result.body)
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if ok and body.error then error_msg = body.error end
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end
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Utils.error(error_msg, { title = "Ollama" })
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end
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return M
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@@ -67,12 +67,11 @@ function M.is_o_series_model(model) return model and string.match(model, "^o%d+"
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function M:parse_messages(opts)
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local messages = {}
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local provider = P[Config.provider]
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local base, _ = P.parse_config(provider)
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local provider_conf, _ = P.parse_config(self)
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-- NOTE: Handle the case where the selected model is the `o1` model
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-- "o1" models are "smart" enough to understand user prompt as a system prompt in this context
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if self.is_o_series_model(base.model) then
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if self.is_o_series_model(provider_conf.model) then
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table.insert(messages, { role = "user", content = opts.system_prompt })
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else
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table.insert(messages, { role = "system", content = opts.system_prompt })
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