TODO.md L5: "Get rid of the chat reply autoscroll, it's breaking things
like making it impossible for the user to scroll while a reply
generates." Owner direction 2026-08-27 (roadmap A1) revises the
phase-18 follow-the-bottom choice: the page NEVER auto-scrolls while a
turn streams. Kept (owner decision): the submit reveal (the user's own
message) and the one-shot phase-14 restore landing.
- frontend/assets/app.js: delete NEAR_BOTTOM_PX + isNearBottom;
scrollReveal becomes the one unconditional scrollIntoView (still
smooth, still "auto" under prefers-reduced-motion via SCROLL);
addMessage(who, html, scroll = false) carries an explicit scroll
intent — only the submit (", true") and the two restore landings
scroll. The thinking/tool/delta handlers and the typing indicator
drop their page-scroll calls; the thinking block's INTERNAL
bottom-pin (textEl.scrollTop, phase 17 — reworked separately in
phase 43) and the turn-end focus({ preventScroll: true }) survive.
- tests/unit/test_frontend_scroll.py: rewritten pin for the new
contract — phase-18 gate absent, helper unconditional, explicit
intent at submit/restore, no page-scroll call in the streaming
handlers, typing bubble scroll-free, SCROLL reduced-motion intact.
- tests/unit/test_chat_persistence.py: restore-landing pin updated to
the new signature (the old forced "auto" is gone; the landing
rides the default SCROLL — noted at the call site).
- tests/e2e/test_no_reply_autoscroll.py (new, replaces the deleted
test_follow_bottom_scroll.py): no autoscroll across >=10 samples
(1px tolerance) during a long answer and during the thinking stream;
submit-from-the-top still reveals the user message; the restore
landing lands one-shot on the latest message and stays; long answer
+ sources and the collapsed thinking block persist and restore.
E2E (isolation): test_no_reply_autoscroll.py 5/5; regressions
test_chat_rag 3/3, test_thinking_display 5/5,
test_chat_persistence 4/4, test_long_answers 2/2, test_smoke 3/3;
unit+integration 723 passed, app/ coverage 99%; ruff + pyright clean.
One env var (BOR_APP_NAME, default "Brain of Reese") now drives the app's
display name everywhere (TODO.md L12 — owner ask: "a way to customize the
name for 'Brain of'. Should be an env var."). The existing app_name setting
is the source of truth (phase locked decision — no new variable, no rename);
with the variable unset the app is byte-identical to before.
Endpoint (A10 public/stateless, no secrets):
GET /api/config → exactly {app_name, version} (app/api/config.py, the
health.py pattern; registered before the static mount). Integration tests:
anonymous 200, default values, a Settings override follows, key set is
exactly two keys — no other setting may leak in later.
Frontend brand layer (A11 — runtime fetch, static templates stay static):
assets/brand.js — a CLASSIC script, first on all six pages, so its top
level runs at parse time: window.BOR_BRAND = "Brain of Reese"
synchronously (the default renders immediately, no blank flash), then a
no-store fetch of /api/config applies the name — document.title (global
replace), every .brand-text (a name starting "Brain of " keeps the bold
split Brain of <strong>rest</strong>, any other name renders plain; the
operator-controlled name is HTML-escaped before innerHTML), a TreeWalker
over text nodes (script/style rejected — page source never rewritten),
and the aria-label/placeholder/meta-content attributes. Fetch failure
keeps the default + console.warn (the loadHealth house style).
app.js (status labels, typing label, elapsed-hint aria, tool labels) and
document.js (viewer titles) read window.BOR_BRAND at CALL time via
brand() — a label set after the fetch lands carries the configured name.
Containerfile: esbuild minify line for brand.js (classic, like markdown.js);
the phase-33 ?v= cache-busting picks the new asset ref up automatically.
E2E (A16 — one story, one file, isolated): test_configurable_brand.py boots
a SECOND app instance (same DB/mock-LLM/admin-auth env block, port APP_PORT+1,
BOR_APP_NAME="Brain of Testy") — the shared conftest server keeps the
default name so every other suite's title/label assertions stay untouched —
and asserts /api/config on both instances, the index title/brand/greeting/
#messages aria-label, the sources + login page titles, and one pre-token
chat turn (think out loud marker) whose #send-status reads "Brain of Testy
is thinking"; the no-op regression pins the shared server's default bytes.
Docs: .env.example App section + README configuration reference — what it
affects (titles, header brand, status labels, aria text), the default, the
bold-split rendering rule.
Gates: 695 unit+integration passed, app/ coverage 99% (>90%), story E2E
green in isolation (two consecutive runs), brand-string suites (smoke,
shared header, header consistency, chat persistence) green, ruff + pyright
clean.
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)
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