discourse-ai/lib/ai_bot/tool_runner.rb

175 lines
4.7 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module AiBot
class ToolRunner
attr_reader :tool, :parameters, :llm
attr_accessor :running_attached_function, :timeout
TooManyRequestsError = Class.new(StandardError)
DEFAULT_TIMEOUT = 2000
MAX_MEMORY = 10_000_000
MARSHAL_STACK_DEPTH = 20
MAX_HTTP_REQUESTS = 20
def initialize(parameters:, llm:, bot_user:, context: {}, tool:, timeout: nil)
@parameters = parameters
@llm = llm
@bot_user = bot_user
@context = context
@tool = tool
@timeout = timeout || DEFAULT_TIMEOUT
@running_attached_function = false
@http_requests_made = 0
end
def mini_racer_context
@mini_racer_context ||=
begin
ctx =
MiniRacer::Context.new(
max_memory: MAX_MEMORY,
marshal_stack_depth: MARSHAL_STACK_DEPTH,
)
attach_truncate(ctx)
attach_http(ctx)
ctx.eval(framework_script)
ctx
end
end
def framework_script
<<~JS
const http = {
get: function(url, options) { return _http_get(url, options) },
post: function(url, options) { return _http_post(url, options) },
};
const llm = {
truncate: _llm_truncate,
};
function details() { return ""; };
JS
end
def details
eval_with_timeout("details()")
end
def eval_with_timeout(script, timeout: nil)
timeout ||= @timeout
mutex = Mutex.new
done = false
elapsed = 0
t =
Thread.new do
begin
while !done
# this is not accurate. but reasonable enough for a timeout
sleep(0.001)
elapsed += 1 if !self.running_attached_function
if elapsed > timeout
mutex.synchronize { mini_racer_context.stop unless done }
break
end
end
rescue => e
STDERR.puts e
STDERR.puts "FAILED TO TERMINATE DUE TO TIMEOUT"
end
end
rval = mini_racer_context.eval(script)
mutex.synchronize { done = true }
# ensure we do not leak a thread in state
t.join
t = nil
rval
ensure
# exceptions need to be handled
t&.join
end
def invoke
mini_racer_context.eval(tool.script)
eval_with_timeout("invoke(#{JSON.generate(parameters)})")
rescue MiniRacer::ScriptTerminatedError
{ error: "Script terminated due to timeout" }
end
private
def attach_truncate(mini_racer_context)
mini_racer_context.attach(
"_llm_truncate",
->(text, length) { @llm.tokenizer.truncate(text, length) },
)
end
def attach_http(mini_racer_context)
mini_racer_context.attach(
"_http_get",
->(url, options) do
begin
@http_requests_made += 1
if @http_requests_made > MAX_HTTP_REQUESTS
raise TooManyRequestsError.new("Tool made too many HTTP requests")
end
self.running_attached_function = true
headers = (options && options["headers"]) || {}
result = {}
DiscourseAi::AiBot::Tools::Tool.send_http_request(url, headers: headers) do |response|
result[:body] = response.body
result[:status] = response.code.to_i
end
result
ensure
self.running_attached_function = false
end
end,
)
mini_racer_context.attach(
"_http_post",
->(url, options) do
begin
@http_requests_made += 1
if @http_requests_made > MAX_HTTP_REQUESTS
raise TooManyRequestsError.new("Tool made too many HTTP requests")
end
self.running_attached_function = true
headers = (options && options["headers"]) || {}
body = options && options["body"]
result = {}
DiscourseAi::AiBot::Tools::Tool.send_http_request(
url,
method: :post,
headers: headers,
body: body,
) do |response|
result[:body] = response.body
result[:status] = response.code.to_i
end
result
ensure
self.running_attached_function = false
end
end,
)
end
end
end
end