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* fix(curator): split 'archived' into consolidated vs pruned in run reports
Users who watched a curator run saw skills like 'anthropic-api' listed
under 'Skills archived' and interpreted that as pruning — but the curator
had actually absorbed those skills into a new umbrella (e.g. 'llm-providers')
during the same run. The directory gets archived for safety (all removals
are recoverable), but the content still lives under a different name.
Users then 'restored' what they thought were deleted skills and ended up
with confusingly duplicated skillsets (old-name + absorbed-inside-umbrella).
Classify removed skills using this run's skill_manage tool calls:
- consolidated: content absorbed into a surviving/newly-created skill
(evidenced by a skill_manage write_file/patch/create/edit whose target
is a different skill AND whose file_path/content references the
removed skill's name)
- pruned: archived without consolidation evidence (truly stale)
REPORT.md now shows two distinct sections:
- 'Consolidated into umbrella skills' — with `removed → merged into umbrella`
- 'Pruned — archived for staleness' — pure staleness archives
run.json schema additions (backward compatible):
- counts.consolidated_this_run, counts.pruned_this_run
- consolidated: [{name, into, evidence}, ...]
- pruned: [names]
- archived: retained as the union for backward compat
Also: relabel the auto-transitions 'archived' counter to 'archived (no
LLM, pure time-based staleness)' so it's clearly distinct from LLM-pass
archives.
Tests: 9 new tests in test_curator_classification.py covering consolidation
evidence parsing (write_file/patch/create), hyphen/underscore name variants,
self-reference rejection, destination-must-exist, mixed runs, and
malformed-JSON fallback safety. Existing test_report_md_is_human_readable
updated to cover the new section names.
E2E: isolated HERMES_HOME, realistic 3-skill run, REPORT.md verified
end-to-end.
* feat(curator): hybrid model-declared + heuristic classification
Extend the consolidated-vs-pruned split with LLM-authored intent:
1. Curator prompt now requires a structured YAML block at the end of the
final response (consolidations / prunings with short rationale).
2. _parse_structured_summary() extracts it tolerantly — missing block,
malformed YAML, partial lists all fall back to heuristic cleanly.
3. _reconcile_classification() merges model intent with the tool-call
heuristic:
- Model wins on rationale when its umbrella exists post-run
- Model hallucination (umbrella doesn't exist) is downgraded to the
heuristic's finding, or pruned if there's no evidence either
- Heuristic catches model omission — consolidations the model
enumerated tools for but forgot to list get surfaced with a
'(detected via tool-call audit)' tag
4. REPORT.md now shows per-row rationale alongside 'removed → umbrella'
and flags audit-only rows so the user knows why no reason is shown.
Backward compat: run.json's 'archived' field (union) is preserved.
'pruned' is now a list of dicts with {name, source, reason};
'pruned_names' is the flat-name list for legacy consumers.
Tests: 15 new covering YAML parse edge cases (malformed, empty lists,
bare-string entries, missing fields), reconciler rules (model wins,
hallucination fallback, heuristic catches omission, prune with reason),
and an end-to-end report-render test with all four paths exercised.
272 lines
9.6 KiB
Python
272 lines
9.6 KiB
Python
"""Tests for the curator per-run report writer (run.json + REPORT.md).
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Reports live under ``~/.hermes/logs/curator/{YYYYMMDD-HHMMSS}/`` alongside
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the standard log dir, not inside the user's ``skills/`` data directory.
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"""
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from __future__ import annotations
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import json
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import os
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from datetime import datetime, timezone, timedelta
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from pathlib import Path
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import pytest
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@pytest.fixture
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def curator_env(tmp_path, monkeypatch):
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"""Isolated HERMES_HOME with a skills/ dir + reset curator module state."""
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home = tmp_path / ".hermes"
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home.mkdir()
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(home / "skills").mkdir()
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(home / "logs").mkdir()
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monkeypatch.setenv("HERMES_HOME", str(home))
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monkeypatch.setattr(Path, "home", lambda: tmp_path)
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import importlib
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import hermes_constants
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importlib.reload(hermes_constants)
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from agent import curator
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importlib.reload(curator)
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from tools import skill_usage
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importlib.reload(skill_usage)
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yield {"home": home, "curator": curator, "skill_usage": skill_usage}
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def _make_llm_meta(**overrides):
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base = {
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"final": "short summary of the pass",
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"summary": "short summary",
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"model": "test-model",
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"provider": "test-provider",
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"tool_calls": [],
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"error": None,
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}
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base.update(overrides)
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return base
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def test_reports_root_is_under_logs_not_skills(curator_env):
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"""Reports live in logs/curator/, not skills/ — operational telemetry
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belongs with the logs, not with user-authored skill data."""
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curator = curator_env["curator"]
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root = curator._reports_root()
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home = curator_env["home"]
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# Must be under logs/
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assert root == home / "logs" / "curator"
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# Must NOT be under skills/
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assert "skills" not in root.parts
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def test_write_run_report_creates_both_files(curator_env):
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"""Each run writes both a run.json (machine) and a REPORT.md (human)."""
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curator = curator_env["curator"]
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start = datetime.now(timezone.utc)
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run_dir = curator._write_run_report(
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started_at=start,
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elapsed_seconds=12.345,
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auto_counts={"checked": 5, "marked_stale": 1, "archived": 0, "reactivated": 0},
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auto_summary="1 marked stale",
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before_report=[],
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before_names=set(),
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after_report=[],
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llm_meta=_make_llm_meta(),
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)
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assert run_dir is not None
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assert run_dir.is_dir()
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assert (run_dir / "run.json").exists()
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assert (run_dir / "REPORT.md").exists()
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# The directory name is a timestamp under logs/curator/
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assert run_dir.parent == curator._reports_root()
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def test_run_json_has_expected_shape(curator_env):
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"""run.json must carry the machine-readable fields downstream tooling needs."""
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curator = curator_env["curator"]
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start = datetime.now(timezone.utc)
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before_report = [
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{"name": "old-thing", "state": "active", "pinned": False},
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{"name": "keeper", "state": "active", "pinned": True},
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]
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after_report = [
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{"name": "keeper", "state": "active", "pinned": True},
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{"name": "new-umbrella", "state": "active", "pinned": False},
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]
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run_dir = curator._write_run_report(
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started_at=start,
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elapsed_seconds=42.0,
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auto_counts={"checked": 2, "marked_stale": 0, "archived": 0, "reactivated": 0},
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auto_summary="no changes",
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before_report=before_report,
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before_names={r["name"] for r in before_report},
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after_report=after_report,
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llm_meta=_make_llm_meta(
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final="I consolidated the whole universe.",
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tool_calls=[
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{"name": "skills_list", "arguments": "{}"},
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{"name": "skill_manage", "arguments": '{"action":"create"}'},
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{"name": "terminal", "arguments": "mv ..."},
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],
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),
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)
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payload = json.loads((run_dir / "run.json").read_text())
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# top-level shape
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for k in (
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"started_at", "duration_seconds", "model", "provider",
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"auto_transitions", "counts", "tool_call_counts",
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"archived", "added", "state_transitions",
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"llm_final", "llm_summary", "llm_error", "tool_calls",
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):
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assert k in payload, f"missing key: {k}"
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# Diff logic
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assert payload["archived"] == ["old-thing"]
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assert payload["added"] == ["new-umbrella"]
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# Counts reflect the diff
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assert payload["counts"]["before"] == 2
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assert payload["counts"]["after"] == 2
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assert payload["counts"]["archived_this_run"] == 1
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assert payload["counts"]["added_this_run"] == 1
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# Tool call counts are aggregated
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assert payload["tool_call_counts"]["skills_list"] == 1
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assert payload["tool_call_counts"]["skill_manage"] == 1
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assert payload["tool_call_counts"]["terminal"] == 1
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assert payload["counts"]["tool_calls_total"] == 3
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def test_report_md_is_human_readable(curator_env):
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"""REPORT.md should be a valid markdown doc with the key sections visible."""
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curator = curator_env["curator"]
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start = datetime.now(timezone.utc)
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run_dir = curator._write_run_report(
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started_at=start,
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elapsed_seconds=75.0,
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auto_counts={"checked": 10, "marked_stale": 2, "archived": 1, "reactivated": 0},
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auto_summary="2 marked stale, 1 archived",
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before_report=[{"name": "foo", "state": "active", "pinned": False}],
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before_names={"foo"},
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after_report=[{"name": "foo-umbrella", "state": "active", "pinned": False}],
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llm_meta=_make_llm_meta(
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final="Consolidated foo-like skills into foo-umbrella.",
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model="claude-opus-4.7",
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provider="openrouter",
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tool_calls=[
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# Evidence that `foo` was absorbed into `foo-umbrella`:
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# write_file under foo-umbrella referencing foo.
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{
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"name": "skill_manage",
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"arguments": json.dumps({
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"action": "write_file",
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"name": "foo-umbrella",
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"file_path": "references/foo.md",
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"file_content": "# foo\nContent absorbed from the old foo skill.\n",
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}),
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},
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],
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),
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)
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md = (run_dir / "REPORT.md").read_text()
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# Structural checks
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assert "# Curator run" in md
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assert "Auto-transitions" in md
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assert "LLM consolidation pass" in md
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assert "Recovery" in md
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# The model / provider we passed in show up
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assert "claude-opus-4.7" in md
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assert "openrouter" in md
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# The consolidated/added lists are present with clear language
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assert "Consolidated into umbrella skills" in md
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assert "`foo`" in md
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assert "merged into" in md
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assert "`foo-umbrella`" in md
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assert "New skills this run" in md
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# The full LLM final response is included verbatim (no 240-char truncation)
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assert "Consolidated foo-like skills into foo-umbrella." in md
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def test_same_second_reruns_get_unique_dirs(curator_env):
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"""If the curator somehow runs twice in the same second, the second
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report still gets its own directory rather than overwriting the first."""
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curator = curator_env["curator"]
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start = datetime(2026, 4, 29, 5, 33, 34, tzinfo=timezone.utc)
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kwargs = dict(
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started_at=start,
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elapsed_seconds=1.0,
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auto_counts={"checked": 0, "marked_stale": 0, "archived": 0, "reactivated": 0},
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auto_summary="no changes",
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before_report=[],
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before_names=set(),
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after_report=[],
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llm_meta=_make_llm_meta(),
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)
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a = curator._write_run_report(**kwargs)
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b = curator._write_run_report(**kwargs)
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assert a != b
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assert a is not None and b is not None
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# Second dir has a numeric disambiguator suffix
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assert b.name.startswith(a.name)
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def test_report_captures_llm_error_and_continues(curator_env):
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"""If the LLM pass recorded an error, the report still writes and
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surfaces the error prominently."""
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curator = curator_env["curator"]
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run_dir = curator._write_run_report(
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started_at=datetime.now(timezone.utc),
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elapsed_seconds=2.0,
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auto_counts={"checked": 0, "marked_stale": 0, "archived": 0, "reactivated": 0},
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auto_summary="no changes",
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before_report=[],
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before_names=set(),
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after_report=[],
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llm_meta=_make_llm_meta(
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error="HTTP 400: No models provided",
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final="",
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summary="error",
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),
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)
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md = (run_dir / "REPORT.md").read_text()
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assert "HTTP 400" in md
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payload = json.loads((run_dir / "run.json").read_text())
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assert payload["llm_error"] == "HTTP 400: No models provided"
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def test_state_transitions_captured_in_report(curator_env):
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"""When a skill moves active → stale or stale → archived between
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before/after snapshots, the report records it."""
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curator = curator_env["curator"]
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start = datetime.now(timezone.utc)
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before = [{"name": "getting-old", "state": "active", "pinned": False}]
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after = [{"name": "getting-old", "state": "stale", "pinned": False}]
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run_dir = curator._write_run_report(
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started_at=start,
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elapsed_seconds=1.0,
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auto_counts={"checked": 1, "marked_stale": 1, "archived": 0, "reactivated": 0},
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auto_summary="1 marked stale",
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before_report=before,
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before_names={r["name"] for r in before},
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after_report=after,
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llm_meta=_make_llm_meta(),
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)
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payload = json.loads((run_dir / "run.json").read_text())
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assert payload["state_transitions"] == [
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{"name": "getting-old", "from": "active", "to": "stale"}
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]
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md = (run_dir / "REPORT.md").read_text()
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assert "State transitions" in md
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assert "getting-old" in md
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assert "active → stale" in md
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