feat: tokens usage (#2300)

This commit is contained in:
yetone
2025-06-23 03:13:37 +08:00
committed by GitHub
parent 7daf169228
commit 6830f2d8b9
7 changed files with 131 additions and 41 deletions

View File

@@ -237,6 +237,7 @@ M._defaults = {
endpoint = "https://api.openai.com/v1",
model = "gpt-4o",
timeout = 30000, -- Timeout in milliseconds, increase this for reasoning models
context_window = 128000, -- Number of tokens to send to the model for context
extra_request_body = {
temperature = 0.75,
max_completion_tokens = 16384, -- Increase this to include reasoning tokens (for reasoning models)
@@ -250,6 +251,7 @@ M._defaults = {
proxy = nil, -- [protocol://]host[:port] Use this proxy
allow_insecure = false, -- Allow insecure server connections
timeout = 30000, -- Timeout in milliseconds
context_window = 128000, -- Number of tokens to send to the model for context
extra_request_body = {
temperature = 0.75,
max_tokens = 20480,
@@ -294,6 +296,7 @@ M._defaults = {
endpoint = "https://generativelanguage.googleapis.com/v1beta/models",
model = "gemini-2.0-flash",
timeout = 30000, -- Timeout in milliseconds
context_window = 1048576,
extra_request_body = {
generationConfig = {
temperature = 0.75,

View File

@@ -69,18 +69,22 @@ function M.summarize_memory(prev_memory, history_messages, cb)
cb(nil)
return
end
local latest_timestamp = history_messages[#history_messages].timestamp
local latest_message_uuid = history_messages[#history_messages].uuid
local latest_timestamp = nil
local latest_message_uuid = nil
for idx = #history_messages, 1, -1 do
local message = history_messages[idx]
if not message.is_dummy then
latest_timestamp = message.timestamp
latest_message_uuid = message.uuid
break
end
end
if not latest_timestamp or not latest_message_uuid then
cb(nil)
return
end
local conversation_items = vim
.iter(history_messages)
:filter(function(msg)
if msg.just_for_display then return false end
if msg.message.role ~= "assistant" and msg.message.role ~= "user" then return false end
local content = msg.message.content
if type(content) == "table" and content[1].type == "tool_result" then return false end
if type(content) == "table" and content[1].type == "tool_use" then return false end
return true
end)
:map(function(msg) return msg.message.role .. ": " .. Utils.message_to_text(msg, history_messages) end)
:totable()
local conversation_text = table.concat(conversation_items, "\n")
@@ -200,9 +204,6 @@ end
function M.generate_prompts(opts)
local provider = opts.provider or Providers[Config.provider]
local mode = opts.mode or Config.mode
---@type AvanteProviderFunctor | AvanteBedrockProviderFunctor
local _, request_body = Providers.parse_config(provider)
local max_tokens = request_body.max_tokens or 4096
-- Check if the instructions contains an image path
local image_paths = {}
@@ -322,18 +323,27 @@ function M.generate_prompts(opts)
end
end
local remaining_tokens = max_tokens - Utils.tokens.calculate_tokens(system_prompt)
for _, message in ipairs(context_messages) do
remaining_tokens = remaining_tokens - Utils.tokens.calculate_tokens(message.content)
end
local pending_compaction_history_messages = {}
if opts.prompt_opts and opts.prompt_opts.pending_compaction_history_messages then
pending_compaction_history_messages =
vim.list_extend(pending_compaction_history_messages, opts.prompt_opts.pending_compaction_history_messages)
end
local context_window = provider.context_window
if context_window and context_window > 0 then
Utils.debug("Context window", context_window)
if opts.get_tokens_usage then
local tokens_usage = opts.get_tokens_usage()
if tokens_usage then
local target_tokens = context_window * 0.9
local tokens_count = tokens_usage.prompt_tokens + tokens_usage.completion_tokens
Utils.debug("Tokens count", tokens_count)
if tokens_count > target_tokens then pending_compaction_history_messages = opts.history_messages end
end
end
end
---@type AvanteLLMMessage[]
local messages = vim.deepcopy(context_messages)
for _, msg in ipairs(opts.history_messages or {}) do
@@ -674,9 +684,12 @@ function M._stream(opts)
local handler_opts = {
on_messages_add = opts.on_messages_add,
on_state_change = opts.on_state_change,
update_tokens_usage = opts.update_tokens_usage,
on_start = opts.on_start,
on_chunk = opts.on_chunk,
on_stop = function(stop_opts)
if stop_opts.usage and opts.update_tokens_usage then opts.update_tokens_usage(stop_opts.usage) end
---@param partial_tool_use_list AvantePartialLLMToolUse[]
---@param tool_use_index integer
---@param tool_results AvanteLLMToolResult[]

View File

@@ -133,6 +133,18 @@ function M:parse_messages(opts)
return messages
end
---@param usage avante.AnthropicTokenUsage | nil
---@return avante.LLMTokenUsage | nil
function M.transform_anthropic_usage(usage)
if not usage then return nil end
---@type avante.LLMTokenUsage
local res = {
prompt_tokens = usage.input_tokens + usage.cache_creation_input_tokens,
completion_tokens = usage.output_tokens + usage.cache_read_input_tokens,
}
return res
end
function M:parse_response(ctx, data_stream, event_state, opts)
if event_state == nil then
if data_stream:match('"message_start"') then
@@ -153,7 +165,7 @@ function M:parse_response(ctx, data_stream, event_state, opts)
if event_state == "message_start" then
local ok, jsn = pcall(vim.json.decode, data_stream)
if not ok then return end
opts.on_start(jsn.message.usage)
ctx.usage = jsn.message.usage
elseif event_state == "content_block_start" then
local ok, jsn = pcall(vim.json.decode, data_stream)
if not ok then return end
@@ -315,14 +327,15 @@ function M:parse_response(ctx, data_stream, event_state, opts)
elseif event_state == "message_delta" then
local ok, jsn = pcall(vim.json.decode, data_stream)
if not ok then return end
if jsn.usage and ctx.usage then ctx.usage.output_tokens = ctx.usage.output_tokens + jsn.usage.output_tokens end
if jsn.delta.stop_reason == "end_turn" then
opts.on_stop({ reason = "complete", usage = jsn.usage })
opts.on_stop({ reason = "complete", usage = self.transform_anthropic_usage(ctx.usage) })
elseif jsn.delta.stop_reason == "max_tokens" then
opts.on_stop({ reason = "max_tokens", usage = jsn.usage })
opts.on_stop({ reason = "max_tokens", usage = self.transform_anthropic_usage(ctx.usage) })
elseif jsn.delta.stop_reason == "tool_use" then
opts.on_stop({
reason = "tool_use",
usage = jsn.usage,
usage = self.transform_anthropic_usage(ctx.usage),
})
end
return

View File

@@ -209,16 +209,33 @@ function M.prepare_request_body(provider_instance, prompt_opts, provider_conf, r
return vim.tbl_deep_extend("force", {}, provider_instance:parse_messages(prompt_opts), request_body)
end
---@param usage avante.GeminiTokenUsage | nil
---@return avante.LLMTokenUsage | nil
function M.transform_gemini_usage(usage)
if not usage then return nil end
---@type avante.LLMTokenUsage
local res = {
prompt_tokens = usage.promptTokenCount,
completion_tokens = usage.candidatesTokenCount,
}
return res
end
function M:parse_response(ctx, data_stream, _, opts)
local ok, json = pcall(vim.json.decode, data_stream)
local ok, jsn = pcall(vim.json.decode, data_stream)
if not ok then
opts.on_stop({ reason = "error", error = "Failed to parse JSON response: " .. tostring(json) })
opts.on_stop({ reason = "error", error = "Failed to parse JSON response: " .. tostring(jsn) })
return
end
if opts.update_tokens_usage and jsn.usageMetadata and jsn.usageMetadata ~= nil then
local usage = M.transform_gemini_usage(jsn.usageMetadata)
if usage ~= nil then opts.update_tokens_usage(usage) end
end
-- Handle prompt feedback first, as it might indicate an overall issue with the prompt
if json.promptFeedback and json.promptFeedback.blockReason then
local feedback = json.promptFeedback
if jsn.promptFeedback and jsn.promptFeedback.blockReason then
local feedback = jsn.promptFeedback
OpenAI:finish_pending_messages(ctx, opts) -- Ensure any pending messages are cleared
opts.on_stop({
reason = "error",
@@ -228,8 +245,8 @@ function M:parse_response(ctx, data_stream, _, opts)
return
end
if json.candidates and #json.candidates > 0 then
local candidate = json.candidates[1]
if jsn.candidates and #jsn.candidates > 0 then
local candidate = jsn.candidates[1]
---@type AvanteLLMToolUse[]
ctx.tool_use_list = ctx.tool_use_list or {}
@@ -258,6 +275,7 @@ function M:parse_response(ctx, data_stream, _, opts)
OpenAI:finish_pending_messages(ctx, opts)
local reason_str = candidate.finishReason
local stop_details = { finish_reason = reason_str }
stop_details.usage = M.transform_gemini_usage(jsn.usageMetadata)
if reason_str == "TOOL_CODE" then
-- Model indicates a tool-related stop.

View File

@@ -379,6 +379,19 @@ function M:add_tool_use_message(ctx, tool_use, state, opts)
-- if state == "generating" then opts.on_stop({ reason = "tool_use", streaming_tool_use = true }) end
end
---@param usage avante.OpenAITokenUsage | nil
---@return avante.LLMTokenUsage | nil
function M.transform_openai_usage(usage)
if not usage then return nil end
if usage == vim.NIL then return nil end
---@type avante.LLMTokenUsage
local res = {
prompt_tokens = usage.prompt_tokens,
completion_tokens = usage.completion_tokens,
}
return res
end
function M:parse_response(ctx, data_stream, _, opts)
if data_stream:match('"%[DONE%]":') or data_stream == "[DONE]" then
self:finish_pending_messages(ctx, opts)
@@ -391,6 +404,12 @@ function M:parse_response(ctx, data_stream, _, opts)
return
end
local jsn = vim.json.decode(data_stream)
if jsn.usage and jsn.usage ~= vim.NIL then
if opts.update_tokens_usage then
local usage = self.transform_openai_usage(jsn.usage)
if usage then opts.update_tokens_usage(usage) end
end
end
---@cast jsn AvanteOpenAIChatResponse
if not jsn.choices then return end
local choice = jsn.choices[1]
@@ -463,16 +482,16 @@ function M:parse_response(ctx, data_stream, _, opts)
if choice.finish_reason == "stop" or choice.finish_reason == "eos_token" or choice.finish_reason == "length" then
self:finish_pending_messages(ctx, opts)
if ctx.tool_use_list and #ctx.tool_use_list > 0 then
opts.on_stop({ reason = "tool_use", usage = jsn.usage })
opts.on_stop({ reason = "tool_use", usage = self.transform_openai_usage(jsn.usage) })
else
opts.on_stop({ reason = "complete", usage = jsn.usage })
opts.on_stop({ reason = "complete", usage = self.transform_openai_usage(jsn.usage) })
end
end
if choice.finish_reason == "tool_calls" then
self:finish_pending_messages(ctx, opts)
opts.on_stop({
reason = "tool_use",
usage = jsn.usage,
usage = self.transform_openai_usage(jsn.usage),
})
end
end
@@ -536,6 +555,9 @@ function M:parse_curl_args(prompt_opts)
model = provider_conf.model,
messages = self:parse_messages(prompt_opts),
stream = true,
stream_options = {
include_usage = true,
},
tools = tools,
}, request_body),
}

View File

@@ -2386,7 +2386,7 @@ function Sidebar:get_history_messages_for_api(opts)
end
local picked_messages = {}
local max_tool_use_count = 10
local max_tool_use_count = 25
local tool_use_count = 0
for idx = #history_messages, 1, -1 do
local msg = history_messages[idx]
@@ -2753,6 +2753,11 @@ function Sidebar:create_input_container()
return history and history.todos or {}
end,
session_ctx = {},
update_tokens_usage = function(usage)
self.chat_history.tokens_usage = usage
self:save_history()
end,
get_tokens_usage = function() return self.chat_history.tokens_usage end,
})
---@param pending_compaction_history_messages avante.HistoryMessage[]

View File

@@ -77,6 +77,7 @@ vim.g.avante_login = vim.g.avante_login
---@field on_stop AvanteLLMStopCallback
---@field on_messages_add? fun(messages: avante.HistoryMessage[]): nil
---@field on_state_change? fun(state: avante.GenerateState): nil
---@field update_tokens_usage? fun(usage: avante.LLMTokenUsage): nil
---
---@alias AvanteLLMMessageContentItem string | { type: "text", text: string, cache_control: { type: string } | nil } | { type: "image", source: { type: "base64", media_type: string, data: string } } | { type: "tool_use", name: string, id: string, input: any } | { type: "tool_result", tool_use_id: string, content: string, is_error?: boolean } | { type: "thinking", thinking: string, signature: string } | { type: "redacted_thinking", data: string }
@@ -242,21 +243,32 @@ vim.g.avante_login = vim.g.avante_login
---@field entra? boolean
---@field hide_in_model_selector? boolean
---@field use_ReAct_prompt? boolean
---@field context_window? integer
---
---@class AvanteSupportedProvider: AvanteDefaultBaseProvider
---@field __inherited_from? string
---@field temperature? number
---@field max_tokens? number
---@field max_completion_tokens? number
---@field reasoning_effort? string
---@field display_name? string
---
---@class AvanteLLMUsage
---@class avante.OpenAITokenUsage
---@field total_tokens number
---@field prompt_tokens number
---@field completion_tokens number
---@field prompt_tokens_details {cached_tokens: number}
---
---@class avante.AnthropicTokenUsage
---@field input_tokens number
---@field cache_creation_input_tokens number
---@field cache_read_input_tokens number
---@field output_tokens number
---
---@class avante.GeminiTokenUsage
---@field promptTokenCount number
---@field candidatesTokenCount number
---
---@class avante.LLMTokenUsage
---@field prompt_tokens number
---@field completion_tokens number
---
---@class AvanteLLMThinkingBlock
---@field thinking string
---@field signature string
@@ -275,12 +287,12 @@ vim.g.avante_login = vim.g.avante_login
---@field state avante.HistoryMessageState
---
---@class AvanteLLMStartCallbackOptions
---@field usage? AvanteLLMUsage
---@field usage? avante.LLMTokenUsage
---
---@class AvanteLLMStopCallbackOptions
---@field reason "complete" | "tool_use" | "error" | "rate_limit" | "cancelled" | "max_tokens"
---@field reason "complete" | "tool_use" | "error" | "rate_limit" | "cancelled" | "max_tokens" | "usage"
---@field error? string | table
---@field usage? AvanteLLMUsage
---@field usage? avante.LLMTokenUsage
---@field retry_after? integer
---@field headers? table<string, string>
---@field streaming_tool_use? boolean
@@ -323,6 +335,7 @@ vim.g.avante_login = vim.g.avante_login
---@field api_key_name string
---@field tokenizer_id string | "gpt-4o"
---@field model? string
---@field context_window? integer
---@field parse_api_key fun(): string | nil
---@field parse_stream_data? AvanteStreamParser
---@field on_error? fun(result: table<string, any>): nil
@@ -366,6 +379,7 @@ vim.g.avante_login = vim.g.avante_login
---@field history_messages avante.HistoryMessage[] | nil
---@field get_todos? fun(): avante.TODO[]
---@field memory string | nil
---@field get_tokens_usage? fun(): avante.LLMTokenUsage | nil
---
---@class AvanteGeneratePromptsOptions: AvanteTemplateOptions
---@field instructions? string
@@ -395,6 +409,7 @@ vim.g.avante_login = vim.g.avante_login
---@field get_history_messages? fun(opts?: { all?: boolean }): avante.HistoryMessage[]
---@field on_messages_add? fun(messages: avante.HistoryMessage[]): nil
---@field on_state_change? fun(state: avante.GenerateState): nil
---@field update_tokens_usage? fun(usage: avante.LLMTokenUsage): nil
---
---@alias AvanteLLMToolFunc<T> fun(
--- input: T,
@@ -461,6 +476,7 @@ vim.g.avante_login = vim.g.avante_login
---@field memory avante.ChatMemory | nil
---@field filename string
---@field system_prompt string | nil
---@field tokens_usage avante.LLMTokenUsage | nil
---
---@class avante.ChatMemory
---@field content string