summarize

name	summarize
description	Extract structured fields from the bundled filing, write a grounded summary, grade it, and save a report. Usage /summarize

/summarize

Run the full Extract → Summarize → Grade → Check loop and save a report.

1. Extract (extractor agent): python -m tools.extract > reports/_fields.json If schema_errors is non-empty, stop and report — do not summarize an invalid extraction.
2. Summarize (summarizer agent): write a grounded summary from reports/_fields.json, citing the field name behind every figure, and save it to reports/_summary.txt.
3. Grade (grader agent): python -m tools.grade --summary-file reports/_summary.txt
4. Gate: if figure_coverage < 1.0, remove or correct the unsupported_figures and re-grade; if faithfulness < 0.7, tighten the summary to the extracted fields. Loop at most 3 times.
5. Save to reports/summary.md:
   • the extracted fields and their source spans,
   • the final summary with field citations,
   • the two scores and the verdict.

Try this to start:

• /summarize → summarises the bundled Orion Dynamics Q3 FY2025 release.

To see the faithfulness check bite, make the summarizer state a figure that is not in reports/_fields.json (e.g. revenue of $2.30 billion) and re-grade: figure_coverage drops below 1.0 and the loop sends it back.