Module: LLMExperiment::Transcript::Claude

Defined in:
lib/llm_experiment/transcript/claude.rb

Overview

Claude Code emits stream-json: one system/init event, one assistant event per model request, and a final result event carrying the totals.

Usage is reported per model request, so the context the very first request carried - the auto-attachment signature - is directly observable here.

Constant Summary collapse

EDIT_TOOLS = 
%w[Edit Write NotebookEdit MultiEdit].freeze

Class Method Summary collapse

Class Method Details

.paths_in_tool_use(use) ⇒ Object

Which file a tool call touched, when it is knowable. Reads, edits and writes name a path directly; a shell command has to be scanned for one.



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# File 'lib/llm_experiment/transcript/claude.rb', line 94

def paths_in_tool_use(use)
  input = use["input"] || {}
  direct = [input["file_path"], input["path"], input["notebook_path"]].compact
  return direct unless direct.empty?

  text = [input["command"], input["pattern"], input["prompt"]].compact.join(" ")
  text.scan(%r{[\w./-]+\.(?:rb|erb|yml|yaml)}).uniq
end

.summarize(events, impl_files:, test_file: nil) ⇒ Object 



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# File 'lib/llm_experiment/transcript/claude.rb', line 17

def summarize(events, impl_files:, test_file: nil)
  init = events.find { |e| e["subtype"] == "init" }
  result = events.reverse.find { |e| e["type"] == "result" }

  turns = []
  tool_calls = []
  events.each do |event|
    next unless event["type"] == "assistant"

    u = usage_of(event) || {}
    turns << {
      "input_tokens" => u["input_tokens"].to_i,
      "output_tokens" => u["output_tokens"].to_i,
      "cache_creation_input_tokens" => u["cache_creation_input_tokens"].to_i,
      "cache_read_input_tokens" => u["cache_read_input_tokens"].to_i,
      "context_tokens" => u["input_tokens"].to_i +
                          u["cache_creation_input_tokens"].to_i +
                          u["cache_read_input_tokens"].to_i,
      "tool_calls" => tool_uses_in(event).map { |t| t["name"] }
    }
    tool_uses_in(event).each do |use|
      tool_calls << { "name" => use["name"], "paths" => paths_in_tool_use(use),
                      "blob" => (use["input"] || {}).to_json }
    end
  end

  first_defect_read = tool_calls.index { |t| Transcript.references_impl?(t["blob"], impl_files) }
  first_edit = tool_calls.index { |t| EDIT_TOOLS.include?(t["name"]) }

  usage = result&.dig("usage") || {}

  {
    "agent" => "claude",
    "model_reported" => init&.dig("model"),
    "cli_version" => init&.dig("claude_code_version"),
    # Hermeticity: a clean container should report none of these. If any is
    # non-empty the trial ran with help it was not supposed to have.
    "mcp_servers" => init&.dig("mcp_servers") || [],
    "memory_paths" => init&.dig("memory_paths") || {},
    "tools_available" => (init&.dig("tools") || []).size,
    "num_turns" => result&.dig("num_turns"),
    "duration_ms" => result&.dig("duration_ms"),
    "duration_api_ms" => result&.dig("duration_api_ms"),
    "total_cost_usd" => result&.dig("total_cost_usd"),
    "stop_reason" => result&.dig("stop_reason"),
    "is_error" => result&.dig("is_error"),
    "input_tokens" => usage["input_tokens"],
    "output_tokens" => usage["output_tokens"],
    "cache_creation_input_tokens" => usage["cache_creation_input_tokens"],
    "cache_read_input_tokens" => usage["cache_read_input_tokens"],
    "thinking_tokens" => usage.dig("output_tokens_details", "thinking_tokens"),
    "total_tool_calls" => tool_calls.size,
    "tool_call_names" => tool_calls.map { |t| t["name"] },
    "tool_calls_to_first_defect_read" => first_defect_read,
    "tool_calls_to_first_edit" => first_edit,
    "read_before_edit" => first_defect_read && first_edit ? first_defect_read < first_edit : nil,
    # The auto-attachment signature: how much context the very first request
    # carried, before any tool could have fetched anything.
    "context_before_first_tool_call" => turns.first&.dig("context_tokens"),
    "turns" => turns,
    "test_file" => test_file
  }
end

.tool_uses_in(event) ⇒ Object 



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# File 'lib/llm_experiment/transcript/claude.rb', line 85

def tool_uses_in(event)
  content = event.dig("message", "content")
  return [] unless content.is_a?(Array)

  content.select { |c| c["type"] == "tool_use" }
end

.usage_of(event) ⇒ Object 



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# File 'lib/llm_experiment/transcript/claude.rb', line 81

def usage_of(event)
  event.dig("message", "usage") || event["usage"]
end