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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 ducoterra
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0e4651c779 |
feat(docs): save the whole chat session as a doc
Phase 75 (TODO.md L4): "Save as doc" now drafts a document from the
ENTIRE chat session — every question and answer up to the click, in
order — instead of only the clicked bubble's answer; the existing
doc-edit screen's free-form body editing is how the user edits out
anything they don't want to keep from previous replies (no new UI
surface).
Task 01 (frontend):
- app.js buildSessionTranscript(): walks the bor.chat.v1 conversation
record in order — a numbered section per user turn ("## N.
<question, raw>" + blank line + the raw answer text; more answers
join under the same heading), sections blank-line separated, all
trailing whitespace collapsed to one final newline. Only the raw
persisted text travels (m.who + m.text — no thinking blocks, no
source chips, no tune metadata); a brain record before the first
user record is skipped; a heading-only section marks a user turn
whose answer never landed (A6, owner-confirmed 2026-09-08).
- saveAsDoc(btn): the draft body is buildSessionTranscript(); the
dead single-bubble markdown parameter is dropped (the button's
appendSaveAsDocButton signature is unchanged — one button per
bubble). Title/path/double-click guard/hand-off are unchanged
(defaultDocTitle: the last question, whitespace-collapsed,
<=120 chars; docs/<slug>.md).
- Unit: the app.js source pins move to the transcript shape (whole
session, no thinking, no dead parameter).
Task 02 (E2E):
- tests/e2e/test_save_doc_session.py (bare-repo fixture, the
phase-59 convention — git as source of truth): three DISTINCT
on-topic turns in one session (turn 1 carries the phase-17
"think out loud" trigger so its record has a thinking block the
transcript must exclude) -> save on the LAST bubble -> the
prefilled body is ## 1./## 2./## 3. in order, byte-exact against
the deterministic mock, thinking-free -> edit the whole
section-2 block out of the body -> push -> git show
bor-docs:<path> equals the EDITED body byte-for-byte (section 2's
question and answer provably absent; sections 1 and 3 byte-exact;
the UI's sha prefix is git rev-parse bor-docs). Second test:
the button on the FIRST bubble still drafts the whole session
(A6 — the transcript is the session at click time, title stays
the last question); canceling leaves the branch tip untouched.
- tests/e2e/test_response_to_docs.py: the phase-59 single-turn body
expectation moves to the transcript shape ("## 1. <question>" +
the answer's markdown) — the rest of the suite unchanged.
Also lands the phase-74 file moves (00_phase.md /
03_mock_marker_e2e.md -> complete/) and the phase reports — the
house convention of committing .agents/ with the phase.
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|
ducoterra
|
055c0b5d85 |
feat(rag): pass chat history with prior thinking to the LLM
Phase 74 (TODO.md L4): a follow-up question now reaches the model WITH the conversation so far — every prior user/brain turn and the prior thinking blocks on brain turns (preserve-thinking) — while POST /api/chat stays stateless (A10): the client provides the history in the request body and the server stores nothing new. Server (task 01): - ChatRequest.history: optional list[HistoryTurn] (who: user|brain, text, optional thinking) — absent/empty keeps the request byte-identical to pre-phase-74 (the two-message [system, user] request; the kill-switch semantics are pinned in the integration suite). - app.rag.prompts.history_to_messages: pure mapper — walks the turns newest-first against the settings budgets (history_max_turns=40 / history_max_chars=24000, BOR_HISTORY_MAX_TURNS / BOR_HISTORY_MAX_CHARS); a capped turn is dropped WHOLE (never cut mid-answer); the kept window is returned oldest-first; brain turns carry their thinking as reasoning_content (A4) only when non-empty. - Both branches feed it: the deflected path splices it between the system prompt and the current user message (the phase-71 recovery still rebuilds from messages[1:]), the grounded agent receives run_agent(..., history=hist); llm.py's message params widen to list[dict[str, Any]] (string-only messages stay byte-identical on the wire — the SDK passes message dicts through verbatim). - The per-turn log line (PLAN §9) gains history_msgs=N after kb_chars=N. - Pins: tests/unit/test_history.py (mapper: mapping, reasoning gating, both budgets, drop-whole, ordering, empty default), tests/unit/test_config.py (the two settings + env overrides), tests/unit/test_agent.py (the history splice + the default), tests/integration/test_chat_api.py (deflected AND grounded forward the history incl. reasoning_content, no-history byte-identity, 422 pins, the log field). Client (task 02): - runTurn — the single funnel for fresh send / phase-49 retry / phase-53 stale-regen — sends history = the conversation record minus the current question, with thinking only on brain records that streamed one (undefined drops the key from the JSON, the record's convention); the question is never duplicated into the history. Wire proof (task 03): - The mock's echo my history marker (HISTORY_TRIGGER) answers with the deterministic history echo — history: N prior messages; last answer tail: <last 24 chars>; thinking: yes|no — checked BEFORE the DEFLECT_MODE branch (like TABLE_TRIGGER), so it fires on both turn branches whatever the gate says; the module docstring records the user/assistant-only history invariant that keeps every existing (tool-result-classified) marker flow unaffected. - tests/e2e/test_llm_history.py (isolated): a grounded follow-up and a deflected follow-up both receive history: 2 prior messages + thinking: yes + the byte-exact tail of turn 1's answer (derived from the persisted bor.chat.v1 record — the same array the client maps into the body); a cold start receives history: 0 prior messages / last answer tail: none / thinking: no. - Regressions green in isolation: chat_rag, chat_history (phase 50), agent_document_tools, harness_aligned_tools, stop_generation, retry_answer, response_to_docs. |