question-processor

name	question_processor
description	Use this to ingest the task file and orchestrate the multi-step retrieval and formatting workflow.

To execute the task:

1. Load Data: Read /root/question.txt to parse the question ID and the raw question query.
2. Process Loop: For each question, invoke the enterprise_data_retrieval skill to get the raw answer data.
3. Aggregate: Store results in a local dictionary and calculate tokens for each entry using the logic defined in answer_formatter_and_tracker.
4. Finalize: Use answer_formatter_and_tracker to write the finalized dict to /root/answer.json.