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# Book-driven self-evolution task
You are Hermes working on your own source repository. Read the English edition
of *AI Agents in Depth* at `/home/ubuntu/ai-agent-book/book-en/` before deciding
what to change. Inspect all ten chapter files, using targeted searches and
section-by-section reads so that conclusions are grounded in the actual text.
No candidate improvement or alleged gap is supplied. Compare the book with the
current code and its design intent, then identify the most important capability
gaps or improvement opportunities yourself. Do not assume that every mechanism
in the book belongs in Hermes. For each opportunity you identify, cite both the
book section that inspired it and the exact Hermes paths that support your
assessment.
Then improve Hermes where the evidence supports a change. Prefer the smallest
cohesive implementation that demonstrates the book's mechanism through real
behavior. Preserve prompt-cache stability, message-role alternation, safety,
and the narrow core tool surface. Add behavior-contract tests. Run the relevant
tests and record their exact results. Do not weaken existing tests, validators,
approval gates, or safety thresholds.
Create `BOOK_SELF_EVOLUTION_REPORT.md` in the repository root. It must include:
- the pinned starting commit and model/provider used;
- the improvement opportunities you identified, with evidence and disposition;
- changes made and changes deliberately rejected or deferred;
- exact verification commands and results;
- limitations, including why one run is not evidence that every new mechanism
improves task success;
- a proposed ablation campaign that compares a fixed baseline with one feature
disabled at a time, even if running the full campaign is beyond this run.
Do not open a pull request, push commits, access unrelated credentials, or edit
the book repository. Stop only after the report, implementation, and relevant
verification are complete, or after documenting a concrete blocker in the
report.