Commit Graph
13 Commits
Author SHA1 Message Date
ducoterra 5d679f5184 feat(import): index quadlet unit files and jinja templates (A9 revision)
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/.
2026-08-28 07:02:24 -04:00
ducoterra b855d0aef9 feat(rag): unbounded agent tool calls behind a round cap (owner revision)
Phase 45 (owner permission 2026-08-27, TODO.md L8: "allow the LLM
to make as many tool calls as it wants"): the phase-37 per-turn tool
budgets (BOR_AGENT_LIST_CALLS / BOR_AGENT_READ_CALLS, default 1 each)
and their exhaustion refusals are removed — a grounded turn now offers
list_documents / read_document for the whole turn (re-lists included),
bounded only by the round cap:

- app/config.py: agent_max_rounds (BOR_AGENT_MAX_ROUNDS, default 10,
  negative rejected) replaces agent_list_calls / agent_read_calls;
  .env.example + README document the single knob; app/rag/prompts.py
  docstrings follow.
- app/rag/agent.py: the loop runs tools until the model answers or
  rounds >= max_rounds, at which point it forces one final no-tools
  answer (the cap is the only forced exit); 0 = no tools — exactly one
  tools=None request, byte-identical to the pre-phase-37 path (the
  kill switch). Rejected calls (unknown tool / missing args /
  already-in-context / unknown path) still consume a round, so
  pathological rejected-call streams are bounded by the cap. The
  per-call log line is now tool/args/round=N/M; the per-turn
  tool_calls=N field and the tool SSE event are unchanged.
- tests/e2e/mock_llm.py: MULTI_READ_TRIGGER ("read two documents") —
  the deterministic list -> read #1 -> read #2 -> forced-answer flow
  (byte-stable "I read <sp1> and <sp2>." line), classified by the
  count of tool-role read results; the phase-37 single-read flow stays
  byte-identical (unit-pinned in tests/unit/test_mock_tool_flow.py).
- tests/e2e/test_agent_unlimited_tools.py (new, story suite,
  mock-only): three tool frames/lines in order (one list, two reads —
  the second read is what the old read budget refused) + the
  both-named non-deflected answer; done.sources + chips = retrieval
  doc + both reads, deduped; no budget refusal rendered; the
  single-read marker flow regression (exactly one read, single tool
  pair).
- .agent/PLAN.md: the phase-45 SSE revision note (owner-locked, R2) —
  the only PLAN edit this phase; the phase-37 note's budget clause is
  marked removed.

Unit/integration rewrites (test_agent.py round-cap matrix incl. the
kill switch and rejected-call spam, test_config.py, test_chat_api.py
agent_max_rounds=0 fixtures) landed with the server core so every gate
stays green.

uv run pytest: 756 passed, app/ coverage 99%; ruff + pyright clean;
story E2E 4/4 in isolation (ran twice); regression E2E suites
(agent_document_tools unmodified, chat_rag, smoke) green in isolation.

Also records the 45_agent_unlimited_tools todo/ -> complete/ task-file
moves (00/01/02 pending in the working tree, task 03 moves on success).
2026-08-28 04:50:56 -04:00
ducoterra 15c1272828 feat(rag): agent document tools — list/read tools with env-tuned budgets, SSE tool events + "calling tool" UI
Grounded chat turns now run the agent loop (app/rag/agent.py) instead
of a bare chat_stream: while the per-turn budgets last
(BOR_AGENT_LIST_CALLS / BOR_AGENT_READ_CALLS, default 1 each) the model
gets list_documents (the indexed catalog, /api/docs order) and
read_document (full text, never truncated — A7-revised contract); once
both budgets are spent the tools key is dropped from the request and
the model must answer. Rejected calls (unknown tool, unknown/missing
path, document already in context, spent budget) consume no budget.
Budgets 0/0 make exactly one tools=None request — byte-identical to
the pre-phase path (budgets-as-kill-switch). Deflected turns keep the
direct chat_stream (A8 unchanged; the LOW prompt never carries the
<tools> section).

SSE contract gains {"type":"tool","name":...,"argument":
"source/path"|null} frames ahead of the answer deltas (PLAN §4
extension, owner permission 2026-08-26); done.sources, query_log.sources
and the per-turn log line (gains tool_calls=N) report the retrieval
docs + read docs, deduped. The UI shows a "calling tool"
button/label state and one visible .tool-call line per call above the
answer; the lines persist with the chat record and re-render on
reload. chat_stream passes tools through and accumulates streaming
tool_calls deltas into ToolCallPiece (tools=None stays byte-identical).

E2E: deterministic mock tool flow ("use your tools" + <tools> marker:
list -> read first catalog line -> quoted answer) plus the story suite
(marker flow, reload re-render, plain/deflected no-tool regressions).
Docs: .env.example + README (the two tools, the budgets, the SSE tool
frame, the "calling tool" UI state).

probe: turbo tool_calls=supported 2026-08-26 (uv run python -m
scripts.llm_probe --tools — non-streaming + streaming
finish_reason=tool_calls, indexed delta.tool_calls partials)
2026-08-26 22:39:14 -04:00
ducoterra 0654b304e1 feat(rag): lite-generated KB overview in the system prompt — stored single row, regenerated on import, <knowledge_base> section in HIGH+LOW prompts 2026-08-25 20:22:51 -04:00
ducoterra 572a4190a6 feat(rag): lite-model document summaries — non-markdown docs summarized at import, summary chunk retrieves and resolves to the full source doc 2026-08-25 17:48:37 -04:00
ducoterra 3d044f33a1 feat(rag): git-based import sources — BOR_GIT_SOURCES repos cloned (first run, --depth 1) or pulled (--ff-only) into BOR_SOURCES_DIR/<repo>/ then indexed; --source still wins; a failed sync aborts before importing anything 2026-08-25 14:23:02 -04:00
ducoterra 1e6ae360e0 feat(rag): feed whole matched documents to the LLM — no context truncation (A7 revised) 2026-08-24 23:37:44 -04:00
ducoterra b16deb2b1d feat(chat): stream model thinking over SSE and show it in a collapsible block 2026-08-24 09:52:27 -04:00
ducoterra cbc263a4b2 feat(auth): single-admin password login (signed cookie) — gate tuning + Sources catalog, keep chat and document viewer public 2026-08-23 19:58:39 -04:00
ducoterra fc0d9a2d5c feat(rag): steering notes — tune how Brain answers, stored in Postgres and injected into every system prompt 2026-08-22 16:44:42 -04:00
ducoterra 0da5275eeb fix(rag): lift chat output cap to 32768 tokens — long answers no longer cut off 2026-08-22 11:30:19 -04:00
ducoterra 7e8d14702e feat(rag): hybrid FTS+vector retrieval and multi-format ingestion — name-your-tool questions find the right document 2026-08-22 01:27:02 -04:00
ducoterra 022da8e2bc feat: scaffold Brain of Reese — FastAPI RAG chat over Postgres 17 + pgvector
Foundation (phase 01, verified):
- FastAPI app: /api/health, /api/suggestions, /api/chat (placeholder),
  static frontend served locally (no CDN)
- Postgres 17 + pgvector via db/Containerfile + compose.yaml
  (podman compose up -d db), Alembic initial migration (documents,
  chunks with vector(768), query_log)
- LLM client targeting https://aipi.reeseapps.com/v1 (turbo/embed);
  scripts/llm_probe.py verified models + 768-dim embeddings live
- Conditional debugpy: imported only when DEBUGPY=1 (attach on demand,
  :5678); logging config for clean single-line logs
- Frontend shell: mobile-first chat + Sources pages, tokens, a11y baselines
- Tests: 24 unit+integration (99% coverage on app/), ruff + pyright clean,
  Playwright smoke E2E (3 tests) against a deterministic mock LLM
- Planning: .agent/PLAN.md (architecture + LOCKED decisions), AGENTS.md,
  6 user stories, 7 phase files (one story / one phase / one Playwright
  suite each)
2026-08-21 13:42:21 -04:00