Downloaded files

Agent's requirements for the downloaded files:

Detect the file type based on the extension and the linked question (referenced in common_questions.py).
Audio Files (.mp3):
Use speech-to-text routines to transcribe the audio and then extract the required answer (e.g. page numbers or ingredient lists) with proper post‑processing (sorting, deduplication).
Spreadsheet Files (.xlsx):
Parse the Excel file (using tools like pandas) to extract the numeric sales data, summing up relevant columns and formatting the number as specified.
Image Files (.png):
Apply OCR or vision reasoning to interpret the chess position (or extract text details) so that the agent can compute the correct algebraic move.
Python Code Files (.py):
Safely execute the code snippet in a sandboxed environment to capture its output (the final numeric value).

In short, the agent must determine which specialized tool (speech-to-text, spreadsheet reader, OCR/vision, or code interpreter) to invoke for each file type and then synthesize the outputs, ensuring that the final answers meet the exact-match formatting specified in the submission instructions (submission_instructions.md).