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5127567d5d
Two-layer caching for build_skills_system_prompt(): 1. In-process LRU (OrderedDict, max 8) — same-process: 546ms → <1ms 2. Disk snapshot (.skills_prompt_snapshot.json) — cold start: 297ms → 103ms Key improvements over original PR #3366: - Extract shared logic into agent/skill_utils.py (parse_frontmatter, skill_matches_platform, get_disabled_skill_names, extract_skill_conditions, extract_skill_description, iter_skill_index_files) - tools/skills_tool.py delegates to shared module — zero code duplication - Proper LRU eviction via OrderedDict.move_to_end + popitem(last=False) - Cache invalidation on all skill mutation paths: - skill_manage tool (in-conversation writes) - hermes skills install (CLI hub) - hermes skills uninstall (CLI hub) - Automatic via mtime/size manifest on cold start prompt_builder.py no longer imports tools.skills_tool (avoids pulling in the entire tool registry chain at prompt build time). 6301 tests pass, 0 failures. Co-authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com> |
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| .. | ||
| __init__.py | ||
| anthropic_adapter.py | ||
| auxiliary_client.py | ||
| context_compressor.py | ||
| context_references.py | ||
| copilot_acp_client.py | ||
| display.py | ||
| insights.py | ||
| model_metadata.py | ||
| models_dev.py | ||
| prompt_builder.py | ||
| prompt_caching.py | ||
| redact.py | ||
| skill_commands.py | ||
| skill_utils.py | ||
| smart_model_routing.py | ||
| title_generator.py | ||
| trajectory.py | ||
| usage_pricing.py | ||