Module: Tracekit::LLM::AnthropicInstrumentation

Defined in:
lib/tracekit/llm/anthropic_instrumentation.rb

Defined Under Namespace

Classes: AnthropicStreamAccumulator

Class Method Summary collapse

Class Method Details

.install(tracer) ⇒ Object 



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# File 'lib/tracekit/llm/anthropic_instrumentation.rb', line 10

def install(tracer)
  begin
    require "anthropic"
  rescue LoadError
    # anthropic gem not available, check if it's already defined (e.g. in tests)
    return false unless defined?(::Anthropic::Client)
  end

  return false unless defined?(::Anthropic::Client)

  instrumentation_mod = Module.new do
    define_method(:messages) do |**params|
      # When called with no parameters, return the Messages::Client (for batches etc.)
      return super(**params) unless params[:parameters]

      parameters = params[:parameters]
      model = parameters[:model] || parameters["model"] || "unknown"
      stream_proc = parameters[:stream] || parameters["stream"]
      is_streaming = stream_proc.is_a?(Proc)
      capture = Common.capture_content?

      span = tracer.start_span("chat #{model}", kind: :client)

      begin
        Common.set_request_attributes(span,
          provider: "anthropic",
          model: model,
          max_tokens: parameters[:max_tokens] || parameters["max_tokens"],
          temperature: parameters[:temperature] || parameters["temperature"],
          top_p: parameters[:top_p] || parameters["top_p"]
        )

        # Capture input content
        if capture
          system_prompt = parameters[:system] || parameters["system"]
          Common.capture_system_instructions(span, system_prompt) if system_prompt
          messages = parameters[:messages] || parameters["messages"]
          Common.capture_input_messages(span, messages) if messages
        end

        if is_streaming
          # Wrap the user's stream proc to accumulate span data
          accumulator = AnthropicStreamAccumulator.new(span, capture)
          wrapper_proc = proc do |event|
            accumulator.process_event(event)
            stream_proc.call(event)
          end

          # Replace stream proc with our wrapper
          wrapped_params = parameters.merge(stream: wrapper_proc)
          result = super(parameters: wrapped_params)
          accumulator.finalize
          result
        else
          result = super(**params)
          handle_anthropic_response(span, result, capture)
          result
        end
      rescue => e
        Common.set_error_attributes(span, e)
        span.finish
        raise
      end
    end

    private

    def handle_anthropic_response(span, result, capture)
      # Anthropic response: { id, type, role, content, model, stop_reason, usage }
      content_blocks = result["content"] || result[:content] || []
      usage = result["usage"] || result[:usage] || {}

      Common.set_response_attributes(span,
        model: result["model"] || result[:model],
        id: result["id"] || result[:id],
        finish_reasons: [(result["stop_reason"] || result[:stop_reason])].compact,
        input_tokens: usage["input_tokens"] || usage[:input_tokens],
        output_tokens: usage["output_tokens"] || usage[:output_tokens]
      )

      # Cache tokens (Anthropic-specific)
      cache_creation = usage["cache_creation_input_tokens"] || usage[:cache_creation_input_tokens]
      cache_read = usage["cache_read_input_tokens"] || usage[:cache_read_input_tokens]
      span.set_attribute("gen_ai.usage.cache_creation.input_tokens", cache_creation) if cache_creation
      span.set_attribute("gen_ai.usage.cache_read.input_tokens", cache_read) if cache_read

      # Tool calls from content blocks
      content_blocks.each do |block|
        block_type = block["type"] || block[:type]
        if block_type == "tool_use"
          input_val = block["input"] || block[:input]
          args = input_val.is_a?(String) ? input_val : JSON.generate(input_val)
          Common.record_tool_call(span,
            name: block["name"] || block[:name] || "unknown",
            id: block["id"] || block[:id],
            arguments: args
          )
        end
      end

      # Output content capture
      if capture && content_blocks.any?
        Common.capture_output_messages(span, content_blocks)
      end
    rescue => _e
      # Never break user code
    ensure
      span.finish
    end
  end

  ::Anthropic::Client.prepend(instrumentation_mod)
  true
end