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.