Class: VSM::Drivers::OpenAI::AsyncDriver

Inherits:
Object
  • Object
show all
Defined in:
lib/vsm/drivers/openai/async_driver.rb

Constant Summary collapse

MAX_TOOL_TURNS = 
8

Instance Method Summary collapse

Constructor Details

#initialize(api_key:, model:, base_url: "https://api.openai.com/v1") ⇒ AsyncDriver 



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# File 'lib/vsm/drivers/openai/async_driver.rb', line 10

def initialize(api_key:, model:, base_url: "https://api.openai.com/v1")
  @api_key, @model, @base = api_key, model, base_url
end

Instance Method Details

#run!(conversation:, tools:, policy: {}, &emit) ⇒ Object 



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# File 'lib/vsm/drivers/openai/async_driver.rb', line 16

def run!(conversation:, tools:, policy: {}, &emit)
  internet = Async::HTTP::Internet.new
  begin
      headers = {
        "Authorization" => "Bearer #{@api_key}",
        "Content-Type"  => "application/json",
        "Accept"        => "text/event-stream"
      }

      messages = to_openai_messages(conversation, policy[:system_prompt])
      tool_list = normalize_openai_tools(tools)

      req_body = JSON.dump({
        model: @model,
        messages: messages,
        tools: tool_list,
        tool_choice: "auto",
        stream: true
      })
      
      # Debug logging
      if ENV["VSM_DEBUG_STREAM"] == "1"
        $stderr.puts "openai => messages: #{JSON.pretty_generate(messages)}"
        $stderr.puts "openai => tools count: #{tool_list.size}"
      end

      response = internet.post("#{@base}/chat/completions", headers, req_body)

      if response.status != 200
        body = response.read
        warn "openai HTTP #{response.status}: #{body}"
        emit.call(:assistant_final, "")
        return :done
      end

      buffer      = +""
      text_buffer = +""
      tc_partial  = Hash.new { |h,k| h[k] = { id: nil, name: nil, args_str: +"" } }

      response.body.each do |chunk|
        buffer << chunk
        while (line = extract_sse_line!(buffer))
          next if line.empty? || line.start_with?(":")
          next unless line.start_with?("data:")
          data = line.sub("data:","").strip
          $stderr.puts("openai <= #{data}") if ENV["VSM_DEBUG_STREAM"] == "1"
          next if data == "[DONE]"

          obj = JSON.parse(data) rescue nil
          next unless obj
          choice = obj.dig("choices",0) || {}
          delta  = choice["delta"] || {}

          if (content = delta["content"])
            text_buffer << content
            emit.call(:assistant_delta, content)
          end

          if (tcs = delta["tool_calls"])
            tcs.each do |tc|
              idx  = tc["index"] || 0
              cell = tc_partial[idx]
              cell[:id]   ||= tc["id"]
              fn           = tc["function"] || {}
              cell[:name] ||= fn["name"] if fn["name"]
              cell[:args_str] << (fn["arguments"] || "")
            end
          end

          if (fr = choice["finish_reason"])
            case fr
            when "tool_calls"
              calls = tc_partial.keys.sort.map do |i|
                cell = tc_partial[i]
                {
                  id:  cell[:id]   || "call_#{i}",
                  name: cell[:name] || "unknown_tool",
                  arguments: safe_json(cell[:args_str])
                }
              end
              tc_partial.clear
              emit.call(:tool_calls, calls)
            when "stop", "length", "content_filter"
              emit.call(:assistant_final, text_buffer.dup)
              text_buffer.clear
            end
          end
        end
      end
  ensure
    internet.close
  end
  :done
end