The phase-72 iteration loop cleared the database, git-cloned the homelab repo, re-imported 38-51 documents and re-embedded per run — many minutes per iteration against a different KB every time (owner directive 2026-09-04: stop importing the homelab repo on every test run). Replace it with:
- tests/fixtures/agent_kb/: 8 hand-written markdown docs (sources 'deployments'/'homelab') whose specifics (rack7, 10.77.42.0/24, VLAN 130, rbm-8842, 17 2 * * *, obsidian-bor:2026.7.14, 18765, 18443, ...) no model can guess; read targets carry non-topical filenames so their questions do not lexically seed them (the read must actually happen)
- tests/fixtures/test_kb.dump.sql: data-only snapshot (TRUNCATE + INSERTs incl. embeddings, self-contained git_sources rows, static KB overview) — verified by round-trip checksum at build time
- scripts/load_test_kb.py: one-off rebuild (real pipeline + embeddings, ~2s) that also prints the per-question retrieval report (all 10 battery questions must be grounded)
- scripts/restore_test_kb.py: sub-second one-transaction restore (no git clone, no re-embedding)
- scripts/agent_realmodel_check.py: the gate gains --restore / --mode fixture (curated 10-question battery with one unambiguously correct tool behavior per question) / --turns N (12s micro-loop) / --concurrency / per-turn + total wall timing, and a second accuracy metric (contract accuracy: well-formed calls targeting resolvable entities) alongside the phase-72 locked executed ratio — the re-read of a seeded doc is a copy-invariant model behavior (5 variants, 0/15 flipped) that the dedupe refusal counts as a failure
- TOOL_CALLING_TESTING.md: the human-readable methodology (fast loop, design rules, metrics, copy levers + tried-and-reverted table, current standing, open design question)
Measured: restore 0.03s; micro-loop ~12s; full loop ~43-55s; concurrency 2/3 gives no gain (endpoint serializes).
Phase 47 (owner permission 2026-08-27, TODO.md L10–11, roadmap R1): the
full Podman quadlet family (.container, .network, .volume, .image,
.pod, .kube, .swap, .os, .endpoint) and .j2 Jinja templates join the
allowed + default A9 import formats, chunked as plain text (owner
decision — no TOML/Jinja-aware splitter). No env configuration needed:
a default import now indexes them.
- app/config.py: _ALLOWED_IMPORT_EXTENSIONS + the default
import_extensions CSV gain the ten names (the original seven first);
the never-widen BOR_IMPORT_EXTENSIONS validator is untouched and
still rejects truly unknown extensions.
- app/rag/chunker.py: ten _FORMAT_CHUNKERS entries -> chunk_text
(HARD_MAX_CHARS 1200 honored, unknown-suffix fallback unchanged);
docstring/comments cite the A9 revision 2026-08-27.
- tests/fixtures/docs/homelab/: quadlet/compose.container (realistic
quadlet TOML, >1500 chars, [Unit]/[Service]/[Container] sections,
RESE-QUADLET-SENTINEL-77aa), quadlet/lan.network,
quadlet/cache.volume, templates/deploy.j2 (for/set/if Jinja
constructs + RESE-JINJA-SENTINEL-33dd). Every suite that seeds the
fixture tree updates its 9 -> 13 document-count constants.
- tests/unit/test_config.py: allowed set carries all seventeen formats,
default CSV + dotted import_extension_set include the ten, the
validator accepts the new names and still rejects unknowns.
- tests/unit/test_chunker.py: dispatch parity with chunk_text for every
new suffix (parametrized), the .container fixture chunks >=2 under
the cap with the sentinel surviving, the .j2 fixture keeps {{ }}
verbatim, the unknown-suffix fallback is unchanged.
- tests/unit/test_importer.py: a default-extensions walk over a temp
tree indexes exactly the ten new files (unknown/hidden/excluded
filtered), the original seven still walk, stem-title fallback holds.
- tests/integration/test_import_quadlet_jinja.py (new): import_sources
over a temp tree with .container/.volume/.j2 -> documents + chunks
rows with stem titles; delta re-import updates only the changed .j2
doc; prune drops the deleted .volume doc with cascade.
- tests/e2e/test_quadlet_jinja_import.py (new, story suite, mock-only,
isolation): GET /api/docs (admin session) lists the four new-format
docs with non-zero chunk counts and stem titles; the Sources table
renders a row + .doc-link per file; the phase-26 modal shows the
.container TOML ([Container] section + sentinel) with stem title and
the container format badge; a RESE-JINJA-SENTINEL-33dd question
FTS-matches the .j2 chunk -> honest-positive (A8: LOW requires zero
FTS hits) — the bubble is not .is-deflected and a source chip names
templates/deploy.j2.
- README.md + .env.example: the extended default format set (A9
revised 2026-08-27, plain-text chunking, narrow-only rule intact).
- .agent/PLAN.md: the A9 revision (owner-locked R1) — A9 row status,
the revision note under the anchors table, and the §5 chunking-policy
+ §11 workflow lines. The only PLAN edit this phase.
Gates: uv run pytest 795 passed; app/ coverage TOTAL 99% (>90%);
ruff check + pyright clean; story E2E 4/4 in isolation (DB up);
regression E2E suites test_import_documents (3) / test_sync_button
(3) / test_git_sources_admin (6) green in isolation.
Also records the 47_quadlet_jinja_import task-file moves (01–03)
todo/ -> complete/.
GFM pipe tables in the shared renderer (TODO.md L6): a table-protection
pass in frontend/assets/markdown.js (fences -> tables -> escape order)
pulls each header+separator+body block out as a placeholder, renders
cells escape-first with the same inline transforms, and reinserts a
semantic <table class="md-table"> inside a horizontal-overflow
.md-table-wrap — so a pipe table in a chat answer, the document
viewer/modal, and the thinking block all render the same semantic
table. Fences win over tables; lone pipes stay text.
- styles.css: .md-table palette rules (PLAN §7.2 tokens, no motion);
min-width: max-content so a WIDE table keeps its natural width and
the wrapper is the real scroller (width:100% alone wrapped the wide
table's cells — proven by the new E2E).
- mock_llm.py: TABLE_TRIGGER ("show me a table") -> byte-stable
TABLE_ANSWER (3-column table, <img onerror> XSS probe line, wide
5-column table), checked before DEFLECT_MODE like SUMMARY_MODE.
- tests/fixtures/docs/homelab/tables.md: 3x3 pipe table + pipe-heavy
fenced block (viewer/fence subject); the shared fixture set grows
8 -> 9 docs, so every suite pinning the count (added/formats/
stat-docs/EXPECTED_ROWS) is updated accordingly.
- tests/e2e/test_markdown_tables.py (new, story suite): chat table
shape + non-deflection, wide-table wrapper scroll (no page
overflow), XSS probe inert, viewer modal table, fence-not-a-table,
lone pipe stays text.
- tests/e2e/test_agent_document_tools.py: fix a pre-existing flake —
the "Calling tool…" label window is ~0.4 s at the mock's 0.1 s
tool-frame pacing, and a polling expect could stride over it
(failed 3 of 5 runs on the committed baseline). The pre-submit
MutationObserver record is the deterministic source of truth; the
racy to_have_text gate is gone.
uv run pytest: 738 passed, app/ coverage 99% (TOTAL unchanged);
ruff + pyright clean; story E2E 6/6 in isolation; regression E2E
suites (chat_rag, document_viewer, document_summaries, smoke) green.
ducoterra