| Age | Commit message (Collapse) | Author |
|---|
|
Summarize a conversation's older "head" into a structured anchored Markdown
summary while preserving the most recent turns verbatim, shrinking context size
while keeping the information needed to continue coherently. Triggered by a
"Compact conversation" button in Chat Settings (not an agent tool).
Approach informed by OpenCode's session/compaction.ts:
- Ported SUMMARY_TEMPLATE (Goal / Constraints / Progress / Key Decisions /
Next Steps / Critical Context / Relevant Files) and the anchored-summary
buildPrompt (re-summarizes a prior summary when present).
- Ported the TOOL_OUTPUT_MAX_CHARS (2000) cap on tool results in the summary
request.
- Simplified tail selection to a fixed recent-turn count (DEFAULT_TAIL_TURNS=2)
instead of OpenCode's token-budget splitTurn.
core:
- New src/compaction/ module (pure, DB-free): template, prompt builder,
head/tail selection, transcript renderer with tool-output capping, prior
summary extraction. Generic over ChatMessage so callers keep turnId/seq.
- db/chunks.ts: rekeyChunks(from,to) relocates a tab's full history to a
backup tab (reversible — nothing is deleted).
- AgentEvent: compaction-started / -complete / -error variants.
api:
- AgentManager.compactTab(tempTabId, sourceTabId): side-effect-free
resolveConnection() for the compactor model (configured compaction_model_*,
else the source tab's own key+model), one-shot tool-less summary generation
via a transient Agent, then relocate full history to a fresh backup tab and
re-seed the canonical source id with [summary turn + preserved tail]. Source
tab is locked (messages queue) during the run; queue drains afterward.
- Routes: POST /tabs/:id/compact, GET/PUT /tabs/settings/compaction-model.
frontend:
- "Compact conversation" button in ModelSelector (Chat Settings), between
Working Directory and the agent toggle; idle-gated.
- Compaction-model key+model selector in Settings, beside the title model.
- Transient placeholder tab shows a large, non-faded "Please wait, compacting
conversation…" screen; closing it cancels. Source input locked while running.
- Handle compaction-* events: reload compacted source, insert backup tab,
refocus source, discard placeholder.
tests: core compaction unit tests, rekeyChunks DB test, AgentManager.compactTab
orchestration tests, and compaction route tests. All green (713 tests), biome
clean, all typechecks pass, frontend builds.
|
|
- TabBar: HTML5 drag-and-drop to reorder user tabs (subagent tabs untouched);
double-click a tab title to rename (Enter/blur confirm, Escape cancel).
- Store: add reorderTabs/renameTab/setDraft; per-tab in-memory `draft` and
`manualTitle` fields. Manual rename suppresses first-message auto-title.
- ChatInput: bind to the active tab's draft so switching tabs saves/restores
unsent text instead of clobbering it.
- Backend: updateTabPositions() + PATCH /tabs/reorder persist tab order to the
existing `position` column; tabs without a stored position fall to the end
then get explicit positions on first reorder.
- Tests: store reorder/rename/auto-title-guard/draft coverage; core
updateTabPositions coverage (FakeDatabase extended with transaction support).
|
|
Persist usage as invisible type:"usage" chunk rows (side channel):
- core: add "usage" ChunkType + UsageData; exclude usage rows from
getChunksForTab/getTotalChunkCount; add getUsageStatsForTab aggregate
(exported from barrel); defensive skip in groupRowsToMessages.
- api: agent-manager accumulates per-attempt usageRows and flushes them in
the same atomic appendChunks call as the turn's content (discarded on a
superseded fallback attempt). GET /tabs enriches rows with usageStats.
- frontend: hydrateFromBackend seeds cacheStats from usageStats (reload only;
no re-seed on statuses reconnect, so no double-count with live events).
Tests: core DB-backed usage persistence/aggregate; api usage-row-per-event +
fallback discard; routes GET /tabs usageStats; frontend hydrate seed +
no-double-count + live-accumulation-after-seed. 495 -> 509 passing.
|
|
Add send_to_tab / read_tab tools so an agent can message or read another
tab by a git-style short handle (shortest unique prefix of the tab UUID,
min 4 chars), shown in the tab bar.
- core/db/tabs: resolveTabPrefix + shortestUniquePrefix (open tabs only,
LIKE-sanitized prefix matching)
- new tools read-tab.ts / send-to-tab.ts (+ tests) decoupled from the DB
TabRow via a minimal ResolvedTabRef projection
- agent-manager: unified deliverMessage routing (busy -> queue, idle ->
new turn) shared by POST /chat and send_to_tab; agent->agent auto-wake
budget (MAX_AGENT_AUTO_WAKES) to bound ping-pong loops
- summon/loader: send_to_tab + read_tab as grantable tools
- frontend: shortHandleFor + handle badge in TabBar; perm toggles
- notes: tab-comm / user-agents / todo-redesign plans
- chore: biome format fixes (debug-logger, summon.test)
Refs notes/plan-tab-comm.md
|
|
Replace the message-as-container model with a flat, append-only chunk log.
- chunks table (id, tab_id, seq, turn_id, step, role, type, data_json): one
row per chunk; tool_call (assistant) and tool_result (tool) are SEPARATE
rows linked by callId. Message/turn are derived groupings, not stored.
- chunks/transform.ts: DB-free explode (Chunk[] -> rows) / group (rows ->
messages), shared by backend and the browser frontend.
- Cache fix: toModelMessages segments each turn at tool-batch boundaries into
stable [assistant, tool] pairs per step, so earlier steps serialize
byte-identically across requests (kills the prompt-cache churn).
- agent-manager persists a turn's chunks on seal (once), discarding a failed
fallback attempt's partial chunks; rebuilds agent history from the log.
- GET /messages windows the log by chunk seq then groups; loadMoreMessages
merges a turn split across the window boundary by turnId.
- One-shot migration drops the legacy messages table and clears tabs;
settings/credentials/keys/usage preserved.
Full suite green (317 tests); biome, tsc, and svelte-check clean.
|
|
tool of batch
The interrupt block embedded in a tool-result was persistent in the
assistant message history, so the imperative 'You MUST address these
before continuing' got re-evaluated as fresh on every subsequent LLM
step. Result: the model repeatedly thought about and re-acknowledged
the same interrupt 5-10+ times per chat (verified in production DB
traces — e.g. tab 4c5727aa had 11 thinking chunks quoting a single
interrupt verbatim).
agent.ts (toModelMessages): strip [USER INTERRUPT] from every tool-
result except the one in the freshest tool-batch (last chunk of the
last assistant message, which itself must be the last message). The
strip is a serialization-time transform only — this.messages, the DB
row, and the UI display all keep the full text. The LLM sees the
imperative exactly once: the step immediately after injection.
agent.ts (tool execution loop): batch queued messages across the
group's tool calls and inject them only into the LAST executable tool's
result. Previously the first tool to dequeue won; now the interrupt
lands in a single deterministic spot regardless of timing. Tool-level
handlers (run-shell/youtube/retrieve) are untouched — they still embed
their own interrupt text when they background work.
Also fix pre-existing tabs.test.ts: it referenced a getDescendantIds
function that didn't exist (added: BFS, leaf-first, cycle-safe, skips
archived) and imported bun:sqlite directly which vite couldn't resolve
(rewrote with a minimal FakeDatabase + vi.mock pattern matching the
rest of the suite).
|
|
management script
|
