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14 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Shaojin Wen
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519e5aa1de
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fix(core): recover from truncated tool calls via multi-turn continuation (#3313)
* fix(core): recover from truncated tool calls via multi-turn continuation (#3049) When large tool calls (e.g., WriteFile with big HTML) exceed the output token limit, the model's response gets truncated and required parameters like file_path are missing. Previously this surfaced as a confusing "params must have required property" error. Three-layer defense: 1. Escalate to model's actual output limit (not fixed 64K). Models with 128K output (Claude Opus, GPT-5) now use their full capacity. 2. Multi-turn recovery: if the escalated response is still truncated, keep the partial response in history and inject a recovery message ("Resume directly — pick up mid-thought") so the model continues from where it left off. Up to 3 recovery attempts before falling back to the tool scheduler's guidance. 3. Stronger truncation guidance as fallback: "you MUST split" instead of "consider splitting". Also fixes: - Clear toolCallRequests on RETRY to prevent duplicate tool execution - Add isContinuation flag to RETRY events so the UI preserves text buffers during recovery (continuation) but resets them during escalation (fresh restart) - Catch errors during recovery to prevent dangling history entries * docs: update adaptive output token escalation design for recovery mechanism Update the design doc to reflect: - Escalation now targets model's actual output limit (64K floor) - Multi-turn recovery loop after escalation (up to 3 attempts) - isContinuation flag on RETRY events - Recovery error handling (pop dangling message, break) - Updated constants table and model-specific escalation limits - New design decision: why multi-turn recovery over progressive escalation * fix: remove competitor reference from code comment * fix: address review feedback on recovery mechanism Three correctness fixes from @tanzhenxin's review: 1. Partial text lost during continuation (useGeminiStream.ts): On continuation RETRY, setPendingHistoryItem(null) cleared the pending gemini item. The next Content event then saw a null pending item, created a fresh one, and reset geminiMessageBuffer = eventValue — discarding the preserved partial text. Now the pending item AND buffers are kept on continuation, so the continuation appends. 2. Recovery on truncated tool-call turns (geminiChat.ts): When the truncated turn already contains a complete functionCall, appending a user recovery message produces model(functionCall) → user(text) with no intervening functionResponse — an invalid API sequence. Now recovery skips turns with functionCall parts and defers to the tool scheduler's layer-3 fallback. 3. Recovery errors swallowed after partial chunks (geminiChat.ts): If a recovery attempt yielded chunks then failed, the catch block broke without emitting any terminal signal, leaving the UI with partial text and no Finished event. Now emits a synthetic finishReason=STOP chunk in the catch so the UI gets a proper terminal signal. * test: add coverage for output token recovery loop Four targeted tests for the recovery mechanism introduced in the truncated-tool-call-recovery PR: 1. Recovery loop fires when escalated response is also truncated: initial MAX_TOKENS → escalation MAX_TOKENS → recovery STOP. Verifies two RETRY events (one escalation, one continuation) and three API calls. 2. Recovery is skipped when truncated turn contains a functionCall: prevents the invalid model(functionCall) → user(text) sequence. Verifies no continuation RETRY and history ends with the functionCall intact. 3. Recovery attempts are capped at MAX_OUTPUT_RECOVERY_ATTEMPTS (3): persistent MAX_TOKENS triggers exactly 5 API calls (1 initial + 1 escalation + 3 recovery). 4. Recovery catch block emits synthetic STOP chunk and pops dangling user message: when a recovery attempt fails (empty stream → InvalidStreamError), the UI gets a terminal signal and history ends on the model turn, not a dangling user recovery message. * test: cover cross-iteration functionCall detection in recovery loop Existing tests cover the functionCall guard when both initial and escalated responses have functionCall. This adds a test for the cross-iteration case: iter 1 returns text (recovery proceeds), iter 2 returns functionCall (recovery must break before iter 3). Verifies: - API called exactly 4 times (1 initial + 1 escalation + 2 recovery) - History ends with the functionCall model turn, not a dangling user recovery message - Iter 3's user recovery message is never pushed (guard fires at top of loop before recoveryCount increment) * fix(core): cast synthetic STOP chunk via unknown for TS2352 The object literal {candidates, content, parts} doesn't structurally overlap enough with GenerateContentResponse for TypeScript's strict narrow cast. Casting through 'unknown' is required per TS2352. Build error from CI: src/core/geminiChat.ts(651,24): error TS2352: Conversion of type '...' to type 'GenerateContentResponse' may be a mistake because neither type sufficiently overlaps with the other. If this was intentional, convert the expression to 'unknown' first. * test(core): tighten recovery history integrity assertions Strengthen the "pop dangling recovery message" test to catch any future regression that leaves consecutive same-role entries or an empty last-model placeholder in history — conditions providers reject on the next turn. * fix(core): coalesce recovery pairs to avoid leaking control prompt Previously every output-token recovery iteration left a (user, model) pair in durable history where the user turn was the internal OUTPUT_RECOVERY_MESSAGE control prompt. That prompt was then visible to every later turn, biasing responses and polluting compression, replay, and export. Track successful recovery iterations and, after the recovery loop, fold each completed pair back into the preceding model turn via a new `coalesceRecoveryPairs` helper. Failed iterations already pop their user turn in the catch block, so they need no coalescing. Adds a targeted test that runs escalation + two successful recovery iterations + a clean STOP, and asserts the merged history has exactly one user turn and one model turn, no trace of the control prompt text, and content ordered as B (escalation) + C + D. |
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Shaojin Wen
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afbb5e71db
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fix(cli): rework session recap rendering and add blur threshold setting (#3482)
* feat(cli): make recap away-threshold configurable The 5-minute blur threshold was hard-coded. Confirmed from Claude Code's own binary (v2.1.113) that 5 minutes is their default as well (and that they shift to 60 minutes when 1h prompt-cache is active) — so the default stays, but expose it as `general.sessionRecapAway ThresholdMinutes` for users who briefly alt-tab often and don't want recaps piling up, or who want to lower it for testing. Non-positive / unset values fall back to the 5-minute default, so dropping the key has the same behavior as before. * fix(core): align recap prompt with Claude Code (1-2 sentences, ≤40 words) The earlier "exactly one sentence, 80-char cap" was an over-correction to a single in-the-moment ask. Going back to it: the natural shape of "current task + next action" is two clauses, and forcing them into a single sentence either crams them with a semicolon or drops the next action entirely on complex sessions. Adopt Claude Code's prompt verbatim (extracted from the v2.1.113 binary): "under 40 words, 1-2 plain sentences, no markdown. Lead with the overall goal and current task, then the one next action. Skip root-cause narrative, fix internals, secondary to-dos, and em-dash tangents." Add a Chinese-budget note (~80 chars) and keep the <recap>...</recap> wrapping that protects against reasoning-model preambles leaking into the UI. The sticky banner already re-measures controls height when the recap toggles, so a 2-line render lays out cleanly. Sweep "one-line" out of user-facing copy (settings description, slash-command description, feature docs, design doc) so the documentation matches the new shape. * fix(cli): restore "one-line" in user-facing recap copy Verified from the Claude Code v2.1.113 binary that the slash-command description IS literally "Generate a one-line session recap now" even though the underlying prompt allows 1-2 sentences. Claude Code is deliberately setting a tighter user expectation than the prompt guarantees, which keeps the surface feel "glanceable". Mirror that asymmetry: keep the prompt at 1-2 sentences (the previous commit) for behavioral parity, but put "one-line" back in the user- visible copy (slash-command description, settings description, user docs). Internal design doc keeps the accurate "1-2 sentence" wording. * fix(cli): render recap inline in history to match Claude Code Earlier I read the user's complaint that the recap "scrolled away" as "the recap should be sticky above the input box," and built a sticky banner accordingly. Disassembly of the Claude Code v2.1.113 binary shows the actual behavior is the opposite: their away_summary is a plain `type:"system", subtype:"away_summary"` message dispatched through the standard message renderer (no Static, no anchor, no flexbox pinning) — it scrolls with the conversation like every other system message. Tear out the sticky-banner machinery so recap matches that: - Recap is back in the `HistoryItemWithoutId` union and `addItem`'d into history (both from `/recap` and from auto-trigger), so it serializes into session saves and behaves like every other history item — no special clear paths, no resume-wrapper, no layout-effect re-measure dance. - `useAwaySummary` takes `addItem` again instead of a setter callback. - `AwayRecapMessage` renders the way Claude Code does: a 2-column gutter with `※`, then bold "recap: " and italic content, all in dim color. Drop the prior `StatusMessage`-shaped layout that fused prefix and label into "※ recap:". - Remove the AppContainer plumbing, the slashCommandProcessor state, the UIStateContext fields, the DefaultAppLayout / ScreenReader placement blocks, the test-utils mocks, and the noninteractive stub. Restore `useResumeCommand.handleResume` to a void return since callers no longer need the success boolean. Sweep the design doc so the architecture diagram, files table, and hook deps reflect the inline-history flow. * fix(cli): dedupe back-to-back auto-recaps with no new user turns between Two consecutive blur cycles, each over the threshold but with no new user activity in between, would each fire their own auto-recap and add two near-duplicate entries to history (same task, slightly different wording from temperature-driven LLM variance). Reported case: leaving the terminal twice while a /review of one PR was still on screen produced two recaps both about that same review. Add a `shouldFireRecap` gate before kicking off the LLM call: - Need at least 3 user messages in history total (don't fire on a near-empty session). - If a previous away_recap is already in history, need at least 2 new user messages since that one before another can fire. Same shape as Claude Code's `Ic1` gate (`Sc1=3`, `Rc1=2`). Read history through a ref so this isn't in the effect's deps and the effect doesn't re-run on every message. * fix(cli): type useResumeCommand.handleResume as Promise<void> Per gemini review on #3482: the interface declared this as `() => void` but the implementation is `async` and returns `Promise<void>`. The mismatch silently lost the chainable promise — tests had to launder it through `as unknown as Promise<void> | undefined` just to await. Tighten the interface to `Promise<void>` and drop the cast in the "closes the dialog immediately" test. * fix(cli): persist auto-fired recap to chat recording so /resume keeps it Per yiliang114 review on #3482: the manual `/recap` path persists across `/resume` because the slash-command processor records every output history item via `chatRecorder.recordSlashCommand({ phase: 'result', outputHistoryItems })`, but the auto path called `addItem` directly and bypassed that recorder. The result was an asymmetry where users who triggered recap manually saw it after `/resume`, while users whose recap fired automatically lost it. Mirror the manual recording from useAwaySummary's `.then` callback — record only the `result` phase (not invocation, since we don't want a fake `> /recap` user line replayed) with the away-recap item as the single output. Wrapped in try/catch because recap is best-effort and must never surface a failure to the user. Add useAwaySummary.test.ts covering: - the recording path is taken on a successful auto-trigger - the dedup gate (`shouldFireRecap`) suppresses the LLM call entirely, including the recording, when no new user turns happened since the last recap * fix(cli): cast recap item via spread to satisfy strict tsc --build CI's `tsc --build` (stricter than local `tsc --noEmit`) rejected the direct `item as Record<string, unknown>` cast: HistoryItemAwayRecap's literal `type: 'away_recap'` field doesn't overlap with `unknown`, TS2352. Use the `{ ...item } as Record<string, unknown>` spread pattern that the rest of the codebase (arenaCommand, slashCommandProcessor's serializer) already uses for the same SlashCommandRecordPayload field. |
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Shaojin Wen
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52c7a3d0ed
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fix(cli): pin /recap above input and align defaults with fastModel (#3478)
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* fix(cli): pin /recap above input box and align defaults with fastModel The recap rendered as a regular history item, so as soon as the model streamed a new reply the "where you left off" reminder scrolled out of view. Move it to a sticky banner anchored just above the Composer (matching how btwItem is rendered) so it stays visible across turns. While reworking the surface, also: - Replace the chevron prefix with `※ recap:` so it reads as a labeled recap line instead of a generic dim message. - Mirror the placement in ScreenReaderAppLayout so screen-reader users see it in the same logical position. - Drop HistoryItemAwayRecap from the HistoryItemWithoutId union — it is no longer addItem-able, and leaving it in invited silent no-op bugs where addItem(awayRecap) would compile but render nothing. - Clear the banner on /clear, /reset, /new and on /resume into a different session, so a recap from a previous context doesn't bleed into a freshly started one. - Re-measure the controls box when the banner appears or disappears (its height changes by a couple of lines) so the main content area recomputes availableTerminalHeight and stays laid out correctly. Auto-trigger now defaults to "on iff fastModel is configured" rather than unconditionally on. Running an ambient background recap on the main coding model is too costly and slow to be a sane default; tying it to fastModel means the feature is silently opt-in for users who have set up a cheap fast model. An explicit `general.showSessionRecap` override still wins either way, and `/recap` itself is unaffected. Sharpen the slash-command description to match the new behavior. * fix(core): silence AbortSignal listener-leak warning in OpenAI pipeline Every chat.completions.create call wires up an abort listener on the incoming AbortSignal, and several layers — retryWithBackoff, the LoggingContentGenerator wrapper, the SDK's own internal stream/fetch plumbing — register their own listeners against the same signal. Five retry attempts plus those layers comfortably exceed Node's default 10-listener cap and produce a MaxListenersExceededWarning. With features that share or compose signals (e.g., recap + followup speculation firing on the same response cycle), even a higher cap gets blown past. The signals here are per-request and short-lived, so the accumulation is structural rather than a real memory leak — they get GC'd as soon as the request settles. setMaxListeners(0, signal) at the SDK boundary disables the warning for these specific signals only, without masking any genuine leak elsewhere in the process. Idempotent and confined to the one place where retry-bound API calls cross into the SDK. * fix(core): tighten recap to a single sentence within 80 chars The 1-3 sentence budget reliably wrapped onto two lines in the sticky banner above the input box, which made it visually heavy for what is supposed to be a glanceable reminder. Constrain the prompt to exactly one sentence with a hard 80-char cap, and merge the "high-level task + next step" rule into a single sentence instead of two adjacent ones. Also sweep the docs (settings, commands, design) so the user-facing copy and the internal design notes match the new format. * fix(cli): apply review feedback for recap PR Two issues from review: - The schema description for `general.showSessionRecap` still said "1-3 sentence summary" while the prompt, docs, and slash-command copy already say "one-line". Aligns the text in settingsSchema.ts and the regenerated VSCode JSON schema. - The /resume wrapper cleared the sticky recap synchronously, before the inner handler had a chance to discover that no session data was available. On a no-op resume the user would still lose the current recap. Make `useResumeCommand.handleResume` return Promise<boolean> reporting whether a session actually loaded, and only clear the recap on a confirmed switch. * fix(cli): default showSessionRecap to false and drop fastModel heuristic The earlier "enabled iff fastModel is configured" default made it hard for users to answer the simple question "is auto-recap on for me right now?" — the answer depended on a setting from a different category, and setting/unsetting fastModel silently changed recap behavior. Revert to a plain boolean with a conservative off-by-default: - Auto-trigger fires only when the user explicitly sets `general.showSessionRecap: true`. - Manual `/recap` keeps working regardless (that's a user-initiated call, not an ambient one). - Users never get ambient LLM calls billed to their main coding model without having opted in. Aligns settings.md, design doc, and the regenerated JSON schema. |
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顾盼
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a82d766727
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refactor(cli): replace slash command whitelist with capability-based filtering (Phase 1) (#3283)
* refactor(cli): replace slash command whitelist with capability-based filtering (Phase 1)
## Summary
Replace the hardcoded ALLOWED_BUILTIN_COMMANDS_NON_INTERACTIVE whitelist with a
unified, capability-based command metadata model. This is Phase 1 of the slash
command architecture refactor described in docs/design/slash-command/.
## Key changes
### New types (types.ts)
- Add ExecutionMode ('interactive' | 'non_interactive' | 'acp')
- Add CommandSource ('builtin-command' | 'bundled-skill' | 'skill-dir-command' |
'plugin-command' | 'mcp-prompt')
- Add CommandType ('prompt' | 'local' | 'local-jsx')
- Extend SlashCommand interface with: source, sourceLabel, commandType,
supportedModes, userInvocable, modelInvocable, argumentHint, whenToUse,
examples (all optional, backward-compatible)
### New module (commandUtils.ts + commandUtils.test.ts)
- getEffectiveSupportedModes(): 3-priority inference
(explicit supportedModes > commandType > CommandKind fallback)
- filterCommandsForMode(): replaces filterCommandsForNonInteractive()
- 18 unit tests
### Whitelist removal (nonInteractiveCliCommands.ts)
- Remove ALLOWED_BUILTIN_COMMANDS_NON_INTERACTIVE constant
- Remove filterCommandsForNonInteractive() function
- Replace with CommandService.getCommandsForMode(mode)
### CommandService enhancements (CommandService.ts)
- Add getCommandsForMode(mode: ExecutionMode): filters by mode, excludes hidden
- Add getModelInvocableCommands(): reserved for Phase 3 model tool-call use
### Built-in command annotations (41 files)
Annotate every built-in command with commandType:
- commandType='local' + supportedModes all-modes: btw, bug, compress, context,
init, summary (replaces the 6-command whitelist)
- commandType='local' interactive-only: export, memory, plan, insight
- commandType='local-jsx' interactive-only: all remaining ~31 commands
### Loader metadata injection (4 files)
Each loader stamps source/sourceLabel/commandType/modelInvocable on every
command it emits:
- BuiltinCommandLoader: source='builtin-command', modelInvocable=false
- BundledSkillLoader: source='bundled-skill', commandType='prompt',
modelInvocable=true
- command-factory (FileCommandLoader): source per extension/user origin,
commandType='prompt', modelInvocable=!extensionName
- McpPromptLoader: source='mcp-prompt', commandType='prompt', modelInvocable=true
### Bug fix
MCP_PROMPT commands were incorrectly excluded from non-interactive/ACP modes by
the old whitelist logic. commandType='prompt' now correctly allows them in all
modes.
### Session.ts / nonInteractiveHelpers.ts
- ACP session calls getAvailableCommands with explicit 'acp' mode
- Remove allowedBuiltinCommandNames parameter from buildSystemMessage() —
capability filtering is now self-contained in CommandService
* fix test ci
* fix memory command
* fix: pass 'non_interactive' mode explicitly to getAvailableCommands
- Fix critical bug in nonInteractiveHelpers.ts: loadSlashCommandNames was
calling getAvailableCommands without specifying mode, causing it to default
to 'acp' instead of 'non_interactive'. Commands with supportedModes that
include 'non_interactive' but not 'acp' would be silently excluded.
- Apply the same fix in systemController.ts for the same reason.
- Update test mock to delegate filtering to production filterCommandsForMode()
instead of duplicating the logic inline, preventing divergence.
Fixes review comments by wenshao and tanzhenxin on PR #3283.
* fix: resolve TypeScript type error in nonInteractiveHelpers.test.ts
* fix test ci
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Shaojin Wen
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60a6dfc14c
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feat(cli): add session recap with /recap and auto-show on return (#3434)
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* feat(cli): add session recap with /recap and auto-show on return
Users often open an old session days later and need to scroll through
pages to remember where they left off. This change adds a short
"where did I leave off" recap — a 1-3 sentence summary generated by
the fast model — so they can resume without re-reading the history.
Two triggers:
- /recap: manual slash command.
- Auto: when the terminal has been blurred for 5+ minutes and gets
focused again (uses the existing DECSET 1004 focus protocol via
useFocus). Gated on streamingState === Idle so it never interrupts
an active turn. Only fires once per blur cycle.
The recap is rendered in dim color with a chevron prefix, visually
distinct from assistant replies. A new `general.showSessionRecap`
setting controls the auto-trigger (default on). /recap works
independent of the setting.
Implementation notes:
- generateSessionRecap uses fastModel (falls back to main model),
tools: [], maxOutputTokens: 300, and a tight system prompt. It
strips tool calls / responses from history before sending — tool
responses can hold 10K+ tokens of file content that drown the recap
in irrelevant detail. The 30-message window respects turn boundaries
(slice never starts on a dangling model/tool response).
- Output is wrapped in <recap>...</recap> tags; the extractor returns
empty (skips render) if the tag is missing, preventing model
reasoning from leaking into the UI.
- All failures are silent (return null) and logged via a scoped
debugLogger; recap is best-effort and must never break main flow.
- /recap refuses to run while a turn is pending.
* fix(cli): abort in-flight recap when showSessionRecap is disabled
If the user disables showSessionRecap while an auto-recap LLM call is
already in flight, the previous code returned early without aborting.
The pending .then would still pass its idle/abort guards and append the
recap, producing an unwanted message after the user has opted out.
Abort the controller and clear it eagerly so the resolved promise no
longer adds to history.
* fix(cli): gate /recap and auto-recap on streaming idle state
Two related issues from review:
1. /recap was only refusing when ui.pendingItem was set, but a normal
model reply runs with streamingState === Responding and a null
pendingItem. Invoking /recap mid-stream would generate a recap from
a partial conversation and insert it between the user prompt and
the assistant reply.
2. useAwaySummary cleared blurredAtRef before checking isIdle, so if
focus returned during a still-streaming turn (after a >5min blur)
the recap was permanently dropped — there was no later retry when
the turn became idle, because isIdle was not in the effect deps.
Fixes:
- Expose isIdleRef on CommandContext.ui (mirrors btwAbortControllerRef
pattern). Plumb it from AppContainer through useSlashCommandProcessor.
- recapCommand now refuses when isIdleRef.current is false OR
pendingItem is non-null.
- useAwaySummary preserves blurredAtRef on the !isIdle bail and adds
isIdle to the effect deps, so the trigger re-evaluates when the
current turn finishes.
- Brief blurs (< AWAY_THRESHOLD_MS) still reset blurredAtRef.
Also seeds isIdleRef in nonInteractiveUi and mockCommandContext so the
new field has a sensible default outside the interactive UI.
* docs: document /recap command, showSessionRecap setting, and design
- User docs: add /recap to the Session and Project Management table in
features/commands.md and a dedicated subsection covering manual use,
the auto-trigger, the dim-color rendering, and the fast-model tip.
- User docs: add general.showSessionRecap row to the configuration
settings reference.
- Design doc: docs/design/session-recap/session-recap-design.md covers
motivation, the two trigger paths, the per-file architecture, prompt
design with the <recap> tag and three-tier extractor, history
filtering rationale (functionResponse can be 10K+ tokens), the
useAwaySummary state machine, the isIdleRef gating for /recap, model
selection, observability, and out-of-scope items.
* fix(core): exclude thought parts from session recap context
filterToDialog kept any non-empty text part, but @google/genai's Part
type also marks model reasoning with part.thought / part.thoughtSignature.
That hidden chain-of-thought was being fed to the recap LLM and could
get summarized as if it were user-visible dialogue.
Drop parts where either flag is set. Update the design doc's
History 过滤 section to call this out alongside the existing
tool-call/response rationale.
* docs(session-recap): correct debug-logging guidance, fill in state machine, sharpen UX wording
Audit of the session recap docs against the implementation found three
issues worth fixing:
- Design doc claimed debug logs were enabled via a QWEN_CODE_DEBUG_LOGGING
env var. That var does not exist; debug logs are written to
~/.qwen/debug/<sessionId>.txt by default, gated by QWEN_DEBUG_LOG_FILE.
Replace with the accurate path + opt-out behavior, and tell the reader
to grep for the [SESSION_RECAP] tag.
- Design doc's useAwaySummary state machine table was missing the
isFocused && blurredAtRef === null path (taken on first render and
right after a brief-blur reset). Add the row.
- User doc's "Refuses to run ... failures are silent" line conflated the
inline-error refusal with silent generation failures, and "(when the
conversation is idle)" used internal jargon. Split the two cases and
spell out what "idle" means, including the wait-then-fire behavior
when focus returns mid-turn.
* docs(session-recap): correctly describe /recap vs auto-trigger failure modes
The previous wording said "Generation/network failures are silent — the
recap simply does not appear", but recapCommand returns a user-facing
info message ("Not enough conversation context for a recap yet.") in
exactly that path, and also returns inline messages for the
config-not-loaded and busy-turn guards.
Only the auto-trigger path is truly silent (it just skips addItem when
generateSessionRecap returns null). Split the two paths in the doc so
the manual command's "always responds with something" behavior is
distinguished from the auto-trigger's no-op-on-failure behavior.
* docs(session-recap): align prompt-rules section with the actual prompt
Two doc-vs-code mismatches in the design doc's "System Prompt" section,
caught with the same lens as yiliang114's failure-mode review:
- The bullet list claimed RECAP_SYSTEM_PROMPT forbids "推测用户意图"
and "用 'you' 称呼用户". Those rules existed in an early draft but
were dropped when the <recap> tag rules were added; the current
prompt has no such restrictions. Replace with the actual rules and
add a "与 RECAP_SYSTEM_PROMPT 一一对应" marker so future edits stay
in sync.
- The doc said systemInstruction "覆盖" the main agent prompt. True
for the agent prompt portion, but GeminiClient.generateContent
internally calls getCustomSystemPrompt which appends user memory
(QWEN.md / 自动 memory) as a suffix. Spell that out — the final
system prompt is recap prompt + user memory, which is actually
useful project context for the recap.
* docs(session-recap): translate design doc to English
The repo convention for docs/design is English (7 of 8 existing files;
auto-memory/memory-system.md is the only Chinese one). The first version
of this design doc followed the auto-memory example, which turned out
to be the wrong sample.
Translate to English while preserving the existing structure, the
state-machine table, the prompt-vs-doc 1:1 alignment, the
QWEN_DEBUG_LOG_FILE description, and the failure-mode notes added in
prior commits.
* fix(cli): drop empty info return from /recap interactive success path
The interactive success path inserts the away_recap history item
directly via ui.addItem and then returned `{type: 'message',
messageType: 'info', content: ''}`. The slash-command processor's
'message' case unconditionally calls addMessage, which adds another
HistoryItemInfo with empty text. The empty info renders as nothing
(StatusMessage early-returns null), but it still bloats the in-memory
history list and shows up in /export and saved sessions.
Return void on the interactive success path and on the abort path so
the processor's `if (result)` check skips the message-handler branch
entirely. Widen the action's return type to `void | SlashCommandActionReturn`
to match (same shape as btwCommand).
|
||
|
顾盼
|
9e2f63a1ca
|
feat(memory): managed auto-memory and auto-dream system (#3087)
* docs: add auto-memory implementation log
* feat(core): add managed auto-memory storage scaffold
* feat(core): load managed auto-memory index
* feat(core): add managed auto-memory recall
* feat(core): add managed auto-memory extraction
* feat(cli): add managed auto-memory dream commands
* feat(core): add auxiliary side-query foundation
* feat(memory): add model-driven recall selection
* feat(memory): add model-driven extraction planner
* feat(core): add background task runtime foundation
* feat(memory): schedule auto dream in background
* feat(core): add background agent runner foundation
* feat(memory): add extraction agent planner
* feat(core): add dream agent planner
* feat(core): rebuild managed memory index
* feat(memory): add governance status commands
* feat(memory): add managed forget flow
* feat(core): harden background agent planning
* feat(memory): complete managed parity closure
* test(memory): add managed lifecycle integration coverage
* feat: same to cc
* feat(memory-ui): add memory saved notification and memory count badge
Feature 3 - Memory Saved Notification:
- Add HistoryItemMemorySaved type to types.ts
- Create MemorySavedMessage component for rendering '● Saved/Updated N memories'
- In useGeminiStream: detect in-turn memory writes via mapToDisplay's
memoryWriteCount field and emit 'memory_saved' history item after turn
- In client.ts: capture background dream/extract promises and expose
via consumePendingMemoryTaskPromises(); useGeminiStream listens
post-turn and emits 'Updated N memories' notification for background tasks
Feature 4 - Memory Count Badge:
- Add isMemoryOp field to IndividualToolCallDisplay
- Add memoryWriteCount/memoryReadCount to HistoryItemToolGroup
- Add detectMemoryOp() in useReactToolScheduler using isAutoMemPath
- ToolGroupMessage renders '● Recalled N memories, Wrote N memories' badge
at the top of tool groups that touch memory files
Fix: process.env bracket-access in paths.ts (noPropertyAccessFromIndexSignature)
Fix: MemoryDialog.test.tsx mock useSettings to satisfy SettingsProvider requirement
* fix(memory-ui): auto-approve memory writes, collapse memory tool groups, fix MEMORY.md path
Problem 1 - Auto-approve memory file operations:
- write-file.ts: getDefaultPermission() checks isAutoMemPath; returns 'allow'
for managed auto-memory files, 'ask' for all other files
- edit.ts: same pattern
Problem 2 - Feature 4 UX: collapse memory-only tool groups:
- ToolGroupMessage: detect when all tool calls have isMemoryOp set (pure memory
group) and all are complete; render compact '● Recalled/Wrote N memories
(ctrl+o to expand)' instead of individual tool call rows
- ctrl+o toggles expand/collapse when isFocused and group is memory-only
- Mixed groups (memory + other tools) keep badge-at-top behaviour
- Expanded state shows individual tool calls with '● Memory operations
(ctrl+o to collapse)' header
Problem 3 - MEMORY.md path mismatch:
- prompt.ts: Step 2 now references full absolute path ${memoryDir}/MEMORY.md
so the model writes to the correct location inside the memory directory,
not to the parent project directory
Fix tests:
- write-file.test.ts: add getProjectRoot to mockConfigInternal
- prompt.test.ts: update assertion to match full-path section header
* fix(memory-ui): fix duplicate notification, broken ctrl+o, and Edit tool detection
- Remove duplicate 'Saved N memories' notification: the tool group badge already
shows 'Wrote N memories'; the separate HistoryItemMemorySaved addItem after
onComplete was double-counting. Keep only the background-task path
(consumePendingMemoryTaskPromises).
- Remove ctrl+o expand: Ink's Static area freezes items on first render and
cannot respond to user input. useInput/useState(isExpanded) in a Static item
is a no-op. Removed the dead code; memory-only groups now always render as
the compact summary (no fake interactive hint).
- Fix Edit tool detection: detectMemoryOp was checking for 'edit_file' but the
real tool name constant is 'edit'. Also removed non-existent 'create_file'
(write_file covers all writes). Now editing MEMORY.md is correctly identified
as a memory write op, collapses to 'Wrote N memories', and is auto-approved.
* fix(dream): run /dream as a visible submit_prompt turn, not a silent background agent
The previous implementation ran an AgentHeadless background agent that could
take 5+ minutes with zero UI feedback — user saw a blank screen for the entire
duration and then at most one line of text.
Fix: /dream now returns submit_prompt with the consolidation task prompt so it
runs as a regular AI conversation turn. Tool calls (read_file, write_file, edit,
grep_search, list_directory, glob) are immediately visible as collapsed tool
groups as the model works through the memory files — identical UX to Claude Code.
Also export buildConsolidationTaskPrompt from dreamAgentPlanner so dreamCommand
can reuse the same detailed consolidation prompt that was already written.
* fix(memory): auto-allow ls/glob/grep on memory base directory
Add getMemoryBaseDir() to getDefaultPermission() allow list in ls.ts,
glob.ts, and grep.ts — mirrors the existing pattern in read-file.ts.
Without this, ListFiles/Glob/Grep on ~/.qwen/* would trigger an
approval dialog, blocking /dream at its very first step.
* fix(background): prevent permission prompt hangs in background agents
Match Claude Code's headless-agent intent: background memory agents must never
block on interactive permission prompts.
Wrap background runtime config so getApprovalMode() returns YOLO, ensuring any
ask decision is auto-approved instead of hanging forever. Add regression test
covering the wrapped approval mode.
* fix(memory): run auto extract through forked agent
Make managed auto-memory extraction follow the Claude Code architecture:
background extraction now uses a forked agent to read/write memory files
directly, instead of planning patches and applying them with a separate
filesystem pipeline.
Keep the old patch/model path only as fallback if the forked agent fails.
Add regression tests covering the new execution path and tool whitelist.
* refactor(memory): remove legacy extract fallback pipeline
Delete the old patch/model/heuristic extraction path entirely.
Managed auto-memory extract now runs only through the forked-agent
execution flow, with no planner/apply fallback stages remaining.
Also remove obsolete exports/tests and update scheduler/integration
coverage to use the forked-agent-only architecture.
* refactor(memory): move auxiliary files out of memory/ directory
meta.json, extract-cursor.json, and consolidation.lock are internal
bookkeeping files, not user-visible memories. Move them one level up
to the project state dir (parent of memory/) so that the memory/
directory contains only MEMORY.md and topic files, matching the
clean layout of the upstream reference implementation.
Add getAutoMemoryProjectStateDir() helper in paths.ts and update the
three path accessors + store.test.ts path assertions accordingly.
* fix(memory): record lastDreamAt after manual /dream run
The /dream command submits a prompt to the main agent (submit_prompt),
which writes memory files directly. Because it bypasses dreamScheduler,
meta.json was never updated and /memory always showed 'never'.
Fix by:
- Exporting writeDreamManualRunToMetadata() from dream.ts
- Adding optional onComplete callback to SubmitPromptActionReturn and
SubmitPromptResult (types.ts / commands/types.ts)
- Propagating onComplete through slashCommandProcessor.ts
- Firing onComplete after turn completion in useGeminiStream.ts
- Providing the callback in dreamCommand.ts to write lastDreamAt
* fix(memory): remove scope params from /remember in managed auto-memory mode
--global/--project are legacy save_memory tool concepts. In managed
auto-memory mode the forked agent decides the appropriate type
(user/feedback/project/reference) based on the content of the fact.
Also improve the prompt wording to explicitly ask the agent to choose
the correct type, reducing the tendency to default to 'project'.
* feat(ui): show '✦ dreaming' indicator in footer during background dream
Subscribe to getManagedAutoMemoryDreamTaskRegistry() in Footer via a
useDreamRunning() hook. While any dream task for the current project is
pending or running, display '✦ dreaming' in the right section of the
footer bar, between Debug Mode and context usage.
* refactor(memory): align dream/extract infrastructure with Claude Code patterns
Five improvements based on Claude Code parity audit:
1. Memoize getAutoMemoryRoot (paths.ts)
- Add _autoMemoryRootCache Map, keyed by projectRoot
- findCanonicalGitRoot() walks the filesystem per call; memoize avoids
repeated git-tree traversal on hot-path schedulers/scanners
- Expose clearAutoMemoryRootCache() for test teardown
2. Lock file stores PID + isProcessRunning reclaim (dreamScheduler.ts)
- acquireDreamLock() writes process.pid to the lock file body
- lockExists() reads PID and calls process.kill(pid, 0); dead/missing
PID reclaims the lock immediately instead of waiting 2h
- Stale threshold reduced to 1h (PID-reuse guard, same as CC)
3. Session scan throttle (dreamScheduler.ts)
- Add SESSION_SCAN_INTERVAL_MS = 10min (same as CC)
- Add lastSessionScanAt Map<projectRoot, number> to ManagedAutoMemoryDreamRuntime
- When time-gate passes but session-gate doesn't, throttle prevents
re-scanning the filesystem on every user turn
4. mtime-based session counting (dreamScheduler.ts)
- Replace fragile recentSessionIdsSinceDream Set in meta.json with
filesystem mtime scan (listSessionsTouchedSince)
- Mirrors Claude Code's listSessionsTouchedSince: reads session JSONL
files from Storage.getProjectDir()/chats/, filters by mtime > lastDreamAt
- Immune to meta.json corruption/loss; no per-turn metadata write
- ManagedAutoMemoryDreamRuntime accepts injectable SessionScannerFn
for clean unit testing without real session files
5. Extraction mutual exclusion extended to write_file/edit (extractScheduler.ts)
- historySliceUsesMemoryTool() now checks write_file/edit/replace/create_file
tool calls whose file_path is within isAutoMemPath()
- Previously only detected save_memory; missed direct file writes by
the main agent, causing redundant background extraction
* docs(memory): add user-facing memory docs, i18n for all locales, simplify /forget
- Add docs/users/features/memory.md: comprehensive user-facing guide covering
QWEN.md instructions, auto-memory behaviour, all memory commands, and
troubleshooting; replaces the placeholder auto-memory.md
- Update docs/users/features/_meta.ts: rename entry auto-memory → memory
- Update docs/users/features/commands.md: add /init, /remember, /forget,
/dream rows; fix /memory description; remove /init duplicate
- Update docs/users/configuration/settings.md: add memory.* settings section
(enableManagedAutoMemory, enableManagedAutoDream) between tools and permissions
- Remove /forget --apply flag: preview-then-apply flow replaced with direct
deletion; update forgetCommand.ts, en.js, zh.js accordingly
- Add all auto-memory i18n keys to de, ja, pt, ru locales (18 keys each):
Open auto-memory folder, Auto-memory/Auto-dream status lines, never/on/off,
✦ dreaming, /forget and /remember usage strings, all managed-memory messages
- Remove dead save_memory branch from extractScheduler.partWritesToMemory()
- Add ✦ dreaming indicator to Footer.tsx with i18n; fix Footer.test.tsx mocks
- Refactor MemoryDialog.tsx auto-dream status line to use i18n
- Remove save_memory tool (memoryTool.ts/test); clean up webui references
- Add extractionPlanner.ts, const.ts and associated tests
- Delete stale docs/users/configuration/memory.md and
docs/developers/tools/memory.md (content superseded)
* refactor(memory): remove all Claude Code references from comments and test names
* test(memory): remove empty placeholder test files that cause vitest to fail
* fix eslint
* fix test in windows
* fix test
* fix(memory): address critical review findings from PR #3087
- fix(read-file): narrow auto-allow from getMemoryBaseDir() (~/.qwen) to
isAutoMemPath(projectRoot) to prevent exposing settings.json / OAuth
credentials without user approval (wenshao review)
- fix(forget): per-entry deletion instead of whole-file unlink
- assign stable per-entry IDs (relativePath:index for multi-entry files)
so the model can target individual entries without removing siblings
- rewrite file keeping unmatched entries; only unlink when file becomes
empty (wenshao review)
- fix(entries): round-trip correctness for multi-entry new-format bodies
- parseAutoMemoryEntries: plain-text line closes current entry and opens
a new one (was silently ignored when current was already set)
- renderAutoMemoryBody: emit blank line between adjacent entries so the
parser can detect entry boundaries on re-read (wenshao review)
- fix(entries): resolve two CodeQL polynomial-regex alerts
- indentedMatch: \s{2,}(?:[-*]\s+)? → [\t ]{2,}(?:[-*][\t ]+)?
- topLevelMatch: :\s*(.+)$ → :[ \t]*(\S.*)$
(github-advanced-security review)
- fix(scan.test): use forward-slash literal for relativePath expectation
since listMarkdownFiles() normalises all separators to '/' on all
platforms including Windows
* fix(memory): replace isAutoMemPath startsWith with path.relative()
Using path.relative() instead of string startsWith() is more robust
across platforms — it correctly handles Windows path-separator
differences and avoids potential edge cases where a path prefix match
could succeed on non-separator boundaries.
Addresses github-actions review item 3 (PR #3087).
* feat(telemetry): add auto-memory telemetry instrumentation
Add OpenTelemetry logs + metrics for the five auto-memory lifecycle
events: extract, dream, recall, forget, and remember.
Telemetry layer (packages/core/src/telemetry/):
- constants.ts: 5 new event-name constants
(qwen-code.memory.{extract,dream,recall,forget,remember})
- types.ts: 5 new event classes with typed constructor params
(MemoryExtractEvent, MemoryDreamEvent, MemoryRecallEvent,
MemoryForgetEvent, MemoryRememberEvent)
- metrics.ts: 8 new OTel instruments (5 Counters + 3 Histograms)
with recordMemoryXxx() helpers; registered inside initializeMetrics()
- loggers.ts: logMemoryExtract/Dream/Recall/Forget/Remember() — each
emits a structured log record and calls its recordXxx() counterpart
- index.ts: re-exports all new symbols
Instrumentation call-sites:
- extractScheduler.ts ManagedAutoMemoryExtractRuntime.runTask():
emits extract event with trigger=auto, completed/failed status,
patches_count, touched_topics, and wall-clock duration
- dream.ts runManagedAutoMemoryDream():
emits dream event with trigger=auto, updated/noop status,
deduped_entries, touched_topics, and duration; covers both
agent-planner and mechanical fallback paths
- recall.ts resolveRelevantAutoMemoryPromptForQuery():
emits recall event with strategy, docs_scanned/selected, and
duration; covers model, heuristic, and none paths
- forget.ts forgetManagedAutoMemoryEntries():
emits forget event with removed_entries_count, touched_topics,
and selection_strategy (model/heuristic/none)
- rememberCommand.ts action():
emits remember event with topic=managed|legacy at command
invocation time (before agent decides the actual memory type)
* refactor(telemetry): remove memory forget/remember telemetry events
Remove EVENT_MEMORY_FORGET and EVENT_MEMORY_REMEMBER along with all
associated infrastructure that is no longer needed:
- constants.ts: remove EVENT_MEMORY_FORGET, EVENT_MEMORY_REMEMBER
- types.ts: remove MemoryForgetEvent, MemoryRememberEvent classes
- metrics.ts: remove MEMORY_FORGET_COUNT, MEMORY_REMEMBER_COUNT constants,
memoryForgetCounter, memoryRememberCounter module vars,
their initialization in initializeMetrics(), and
recordMemoryForgetMetrics(), recordMemoryRememberMetrics() functions
- loggers.ts: remove logMemoryForget(), logMemoryRemember() functions
and their imports
- index.ts: remove all re-exports for the above symbols
- memory/forget.ts: remove logMemoryForget call-site and import
- cli/rememberCommand.ts: remove logMemoryRemember call-sites and import
* change default value
* fix forked agent
* refactor(background): unify fork primitives into runForkedAgent + cleanup
- Merge runForkedQuery into runForkedAgent via TypeScript overloads:
with cacheSafeParams → GeminiChat single-turn path (ForkedQueryResult)
without cacheSafeParams → AgentHeadless multi-turn path (ForkedAgentResult)
- Delete forkedQuery.ts; move its test to background/forkedAgent.cache.test.ts
- Remove forkedQuery export from followup/index.ts
- Migrate all callers (suggestionGenerator, speculation, btwCommand, client)
to import from background/forkedAgent
- Add getFastModel() / setFastModel() to Config; expose in CLI config init
and ModelDialog / modelCommand
- Remove resolveFastModel() from AppContainer — now delegated to config.getFastModel()
- Strip Claude Code references from code comments
* fix(memory): address wenshao's critical review findings
- dream.ts: writeDreamManualRunToMetadata now persists lastDreamSessionId
and resets recentSessionIdsSinceDream, preventing auto-dream from firing
again in the same session after a manual /dream
- config.ts: gate managed auto-memory injection on getManagedAutoMemoryEnabled();
when disabled, previously saved memories are no longer injected into new sessions
- rememberCommand.ts: remove legacy save_memory branch (tool was removed);
fall back to submit_prompt directing agent to write to QWEN.md instead
- BuiltinCommandLoader.ts: only register /dream and /forget when managed
auto-memory is enabled, matching the feature's runtime availability
- forget.ts: return early in forgetManagedAutoMemoryMatches when matches is
empty, avoiding unnecessary directory scaffolding as a side effect
* fix test
* fix ci test
* feat(memory): align extract/dream agents to Claude Code patterns
- fix(client): move saveCacheSafeParams before early-return paths so
extract agents always have cache params available (fixes extract never
triggering in skipNextSpeakerCheck mode)
- feat(extract): add read-only shell tool + memory-scoped write
permissions; create inline createMemoryScopedAgentConfig() with
PermissionManager wrapper (isToolEnabled + evaluate) that allows only
read-only shell commands and write/edit within the auto-memory dir
- feat(extract): align prompt to Claude Code patterns — manifest block
listing existing files, parallel read-then-write strategy, two-step
save (memory file then index)
- feat(dream): remove mechanical fallback; runManagedAutoMemoryDream is
now agent-only and throws without config
- feat(dream): align prompt to Claude Code 4-phase structure
(Orient/Gather/Consolidate/Prune+Index); add narrow transcript grep,
relative→absolute date conversion, stale index pruning, index size cap
- fix(permissions): add isToolEnabled() to MemoryScopedPermissionManager
to prevent TypeError crash in CoreToolScheduler._schedule
- test: update dreamScheduler tests to mock dream.js; replace removed
mechanical-dedup test with scheduler infrastructure verification
* move doc to design
* refactor(memory): unify extract+dream background task management into MemoryBackgroundTaskHub
- Add memoryTaskHub.ts: single BackgroundTaskRegistry + BackgroundTaskDrainer shared
by all memory background tasks; exposes listExtractTasks() / listDreamTasks()
typed query helpers and a unified drain() method
- extractScheduler: ManagedAutoMemoryExtractRuntime accepts hub via constructor
(defaults to defaultMemoryTaskHub); test factory gets isolated fresh hub
- dreamScheduler: same pattern — sessionScanner + hub injection; BackgroundTask-
Scheduler initialized from injected hub; test factory gets isolated hub
- status.ts: replace two separate getRegistry() calls with defaultMemoryTaskHub
typed query methods
- Footer.tsx (useDreamRunning): subscribe to shared registry, filter by
DREAM_TASK_TYPE so extract tasks do not trigger the dream spinner
- index.ts: re-export memoryTaskHub.ts so defaultMemoryTaskHub/DREAM_TASK_TYPE/
EXTRACT_TASK_TYPE are available as top-level package exports
* refactor(background): introduce general-purpose BackgroundTaskHub
Replace memory-specific MemoryBackgroundTaskHub with a domain-agnostic
BackgroundTaskHub in the background/ layer. Any future background task
runtime (3rd, 4th, …) plugs in by accepting a hub via constructor
injection — no new infrastructure required.
Changes:
- Add background/taskHub.ts: BackgroundTaskHub (registry + drainer +
createScheduler() + listByType(taskType, projectRoot?)) and the
globalBackgroundTaskHub singleton. Zero knowledge of any task type.
- Delete memory/memoryTaskHub.ts: its narrow listExtractTasks /
listDreamTasks helpers are replaced by the generic listByType() call.
- Move EXTRACT_TASK_TYPE to extractScheduler.ts (owned by the runtime
that defines it); replace 3 hardcoded string literals with the const.
- Move DREAM_TASK_TYPE to dreamScheduler.ts; use hub.createScheduler()
instead of manually wiring new BackgroundTaskScheduler(reg, drain).
- status.ts: globalBackgroundTaskHub.listByType(EXTRACT_TASK_TYPE, ...)
- Footer.tsx: globalBackgroundTaskHub.registry (shared, filtered by type)
- index.ts: export background/taskHub.js; drop memory/memoryTaskHub.js
* test(background): add BackgroundTaskHub unit tests and hub isolation checks
- background/taskHub.test.ts (11 tests):
- createScheduler(): tasks registered via scheduler appear in hub registry;
multiple calls return distinct scheduler instances
- listByType(): filters by taskType, filters by projectRoot, returns []
for unknown types, two types co-exist in registry but stay separated
- drain(): resolves false on timeout, resolves true when tasks complete,
resolves true immediately when no tasks in flight
- isolation: tasks in hubA do not appear in hubB
- globalBackgroundTaskHub: is a BackgroundTaskHub instance with registry/drainer
- extractScheduler.test.ts (+1 test):
- factory-created runtimes have isolated registries; tasks in runtimeA
are invisible to runtimeB; all tasks carry EXTRACT_TASK_TYPE
- dreamScheduler.test.ts (+1 test):
- factory-created runtimes have isolated registries; tasks in runtimeA
are invisible to runtimeB; all tasks carry DREAM_TASK_TYPE
* refactor(memory): consolidate all memory state into MemoryManager
Replace BackgroundTaskRegistry/Drainer/Scheduler/Hub helper classes and
module-level globals with a single MemoryManager class owned by Config.
## Changes
### New
- packages/core/src/memory/manager.ts — MemoryManager with:
- scheduleExtract / scheduleDream (inline queuing + deduplication logic)
- recall / forget / selectForgetCandidates / forgetMatches
- getStatus / drain / appendToUserMemory
- subscribe(listener) compatible with useSyncExternalStore
- storeWith() atomic record registration (no double-notify)
- Distinct skippedReason 'scan_throttled' vs 'min_sessions' for dream
- packages/core/src/utils/forkedAgent.ts — pure cache util (moved from background/)
- packages/core/src/utils/sideQuery.ts — pure util (moved from auxiliary/)
### Deleted
- background/taskRegistry, taskDrainer, taskScheduler, taskHub and all tests
- background/forkedAgent (moved to utils/)
- auxiliary/sideQuery (moved to utils/)
- memory/extractScheduler, dreamScheduler, state and all tests
### Modified
- config/config.ts — Config owns MemoryManager instance; getMemoryManager()
- core/client.ts — all memory ops via config.getMemoryManager()
- core/client.test.ts — mock MemoryManager instead of individual modules
- memory/status.ts — accepts MemoryManager param, drops globalBackgroundTaskHub
- index.ts — memory exports reduced from 14 modules to 5 (manager/types/paths/store/const)
- cli/commands/dreamCommand.ts — via config.getMemoryManager()
- cli/commands/forgetCommand.ts — via config.getMemoryManager()
- cli/components/Footer.tsx — useSyncExternalStore replacing setInterval polling
- cli/components/Footer.test.tsx — add getMemoryManager mock
|
||
ChiGao
|
70396d1276
|
feat: optimize compact mode UX — shortcuts, settings sync, and safety (#3100)
* feat: optimize compact mode UX — shortcuts, settings sync, and safety improvements
- Add Ctrl+O to keyboard shortcuts list (?) and /help command
- Sync compact mode toggle from Settings dialog with CompactModeContext
- Protect tool approval prompts from being hidden in compact mode
(MainContent forces live rendering during WaitingForConfirmation)
- Remove snapshot freezing on toggle — treat as persistent preference,
not temporary peek (differs from Claude Code's session-scoped model)
- Add compact mode tip to startup Tips rotation for non-intrusive discovery
- Remove compact mode indicator from footer to reduce UI clutter
- Add competitive analysis design doc (EN + ZH) comparing with Claude Code
- Update user docs (settings.md) and i18n translations (en/zh/ru/pt)
Relates to #3047, #2767, #2770
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* refactor: remove frozenSnapshot dead code and Chinese design doc
- Remove frozenSnapshot state, useEffect, and all related logic from
AppContainer, MainContent, CompactModeContext, and test files
- Simplify MainContent to always render live pendingHistoryItems
- Delete compact-mode-design-zh.md (redundant Chinese translation)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: address PR review feedback for compact mode optimization
- Add refreshStatic() call after setCompactMode in SettingsDialog
so already-rendered Static history updates immediately
- Fix outdated column split comment in KeyboardShortcuts (5+4+4)
- Update design doc: remove all frozenSnapshot references, renumber
optimization recommendations, fix file reference descriptions
- Add missing i18n keys for de.js and ja.js locales
- Add test for SettingsDialog compact mode sync with CompactModeContext
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: prevent subagent confirmation from being hidden in compact mode
hasConfirmingTool only checks ToolCallStatus.Confirming, but subagent
approvals arrive via resultDisplay.pendingConfirmation while the tool
status remains Executing. Add hasSubagentPendingConfirmation to the
showCompact guard so tool groups with pending subagent confirmations
are always force-expanded.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: force show subagent confirmation result in compact mode
The previous fix (
|
||
|
Shaojin Wen
|
83b394e423
|
feat(core): implement fork subagent for context sharing (#2936)
* feat(core): implement fork subagent for context sharing
- Make subagent_type optional in AgentTool
- Add forkSubagent.ts to build identical tool result prefixes
- Run fork processes in the background to preserve UX
* fix(core): fix test failures related to root execution and optional subagent_type
- Skip pathReader and edit tool permission tests when running as root
- Fix agent.test.ts to correctly mock execute call with extraHistory
- Remove unused imports in forkSubagent.ts
* fix(core): fix fork subagent bugs and add CacheSafeParams integration
Bug fixes:
- Fix AgentParams.subagent_type type: string -> string? (match schema)
- Fix undefined agentType passed to hook system (fallback to subagentConfig.name)
- Fix hook continuation missing extraHistory parameter
- Fix functionResponse missing id field (match coreToolScheduler pattern)
- Fix consecutive user messages in Gemini API (ensure history ends with model)
- Fix duplicate task_prompt when directive already in extraHistory
- Fix FORK_AGENT.systemPrompt empty string causing createChat to throw
- Fix redundant dynamic import of forkSubagent.js (merge into single import)
- Fix non-fork agent returning empty string on execution failure
- Fix misleading fork child rule referencing non-existent system prompt config
- Fix functionResponse.response key from {result:} to {output:} for consistency
CacheSafeParams integration:
- Retrieve parent's generationConfig via getCacheSafeParams() for cache sharing
- Add generationConfigOverride to CreateChatOptions and AgentHeadless.execute()
- Add toolsOverride to AgentHeadless.execute() for parent tool declarations
- Fork API requests now share byte-identical prefix with parent (DashScope cache hits)
- Graceful degradation when CacheSafeParams unavailable (first turn)
Docs:
- Add Fork Subagent section to sub-agents.md user manual
- Add fork-subagent-design.md design document
* fix(core): apply subagent tool exclusion to forked agents
Fork children were inheriting parent's cached tool declarations directly,
bypassing prepareTools() filtering and gaining access to AgentTool and
cron tools. Extract EXCLUDED_TOOLS_FOR_SUBAGENTS as a shared constant
and apply it to forkToolsOverride.
* fix(core): skip env history whenever extraHistory is provided
Previously gated on generationConfigOverride, which meant the no-cache
fallback path (CacheSafeParams unavailable) still ran getInitialChatHistory
and duplicated env bootstrap messages already present in the parent's
history. Gate on extraHistory instead so both fork paths skip env init.
* fix(core): use explicit skipEnvHistory flag for fork env handling
The previous fix gated env-init skipping on the presence of extraHistory,
but agent-interactive (arena) also passes extraHistory — its chatHistory is
env-stripped by stripStartupContext() and DOES need fresh env init for the
child's working directory. Skipping env there broke the interactive path.
Replace the implicit gate with an explicit skipEnvHistory option that only
fork sets (when extraHistory is present, since fork's history comes from
getHistory(true) and already contains env).
* fix(core): defend skipEnvHistory gate against empty extraHistory
Edge case: when the parent's rawHistory ends with a user message and has
length 1, extraHistory becomes []. The previous gate (extraHistory !==
undefined) would set skipEnvHistory: true, leaving the fork with neither
env bootstrap nor parent history. Check length > 0 so empty arrays fall
through to the normal env-init path.
* fix(core): apply skipEnvHistory to stop-hook retry execute
The second subagent.execute() call in the SubagentStop retry loop was
missing skipEnvHistory, so on retry the fork's env context would be
duplicated — same bug as the initial tanzhenxin report, just on a less
common code path.
|
||
|
Shaojin Wen
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f208801b0e
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fix(followup): prevent tool call UI leak and Enter accept buffer race (#2872)
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* fix(core): prevent followup suggestion input/output from appearing in tool call UI The follow-up suggestion generation was leaking into the conversation UI through three channels: 1. The forked query included tools in its generation config, allowing the model to produce function calls during suggestion generation. Fixed by setting `tools: []` in runForkedQuery's per-request config (kept in createForkedChat for speculation which needs tools). 2. logApiResponse and logApiError recorded suggestion API events to the chatRecordingService, causing them to appear in session JSONL files and the WebUI. Fixed by adding isInternalPromptId() guard that skips chatRecordingService for 'prompt_suggestion' and 'forked_query' IDs. uiTelemetryService.addEvent() is preserved so /stats still tracks suggestion token usage. 3. LoggingContentGenerator logged suggestion requests/responses to the OpenAI logger and telemetry pipeline. Fixed by skipping logApiRequest, buildOpenAIRequestForLogging, and logOpenAIInteraction for internal prompt IDs. _logApiResponse is preserved (for /stats) but its chatRecordingService path is filtered by fix #2. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: deduplicate isInternalPromptId into shared export from loggers.ts Address review feedback: extract isInternalPromptId() to a single exported function in telemetry/loggers.ts and import it in LoggingContentGenerator, eliminating the duplicate private method. Also update loggingContentGenerator.test.ts mock to use importOriginal so the real isInternalPromptId is available during tests. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor: extract isInternalPromptId to shared utils, add tests Address maintainer review feedback: 1. Move isInternalPromptId() to packages/core/src/utils/internalPromptIds.ts using a ReadonlySet for the ID registry. Adding new internal prompt IDs only requires changing one file. loggers.ts re-exports for compatibility, loggingContentGenerator.ts imports directly from utils. 2. Extract `tools: []` magic value to a frozen NO_TOOLS constant in forkedQuery.ts. 3. Add unit tests for isInternalPromptId: prompt_suggestion → true, forked_query → true, user_query → false, empty string → false. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: address Copilot review — docs, stream optimization, tests 1. Update forkedQuery.ts module docs to reflect that runForkedQuery overrides tools: [] at the per-request level while createForkedChat retains the full generationConfig for speculation callers. 2. Propagate isInternal into loggingStreamWrapper to skip response collection and consolidation for internal prompts, avoiding unnecessary CPU/memory overhead. 3. Add logApiResponse chatRecordingService filter tests: verify prompt_suggestion/forked_query skip recording while normal IDs still record. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: deep-freeze NO_TOOLS, add internal prompt guard tests Address Copilot review round 3: 1. Deep-freeze NO_TOOLS.tools array to prevent shared mutable state across forked query calls. 2. Add LoggingContentGenerator tests verifying that internal prompt IDs (prompt_suggestion, forked_query) skip logApiRequest and OpenAI interaction logging while preserving logApiResponse. 3. Add logApiError chatRecordingService filter tests matching the existing logApiResponse coverage. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: reconcile createForkedChat JSDoc with module header Clarify that createForkedChat retains the full generationConfig (including tools) for speculation callers, while runForkedQuery strips tools at the per-request level via NO_TOOLS. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: build errors and Copilot round 4 feedback 1. Fix NO_TOOLS type: Object.freeze produces readonly array incompatible with ToolUnion[]. Use Readonly<Pick<>> instead; spread in requestConfig already creates a fresh mutable copy per call. 2. Fix test missing required 'model' field in ContentGeneratorConfig. 3. Track firstResponseId/firstModelVersion in loggingStreamWrapper so _logApiResponse/_logApiError have accurate values even when full response collection is skipped for internal prompts. 4. Strengthen OpenAI logger test assertion: assert OpenAILogger was constructed (not guarded by if), then assert logInteraction was not called. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove dead Object.keys check, add streaming internal prompt test 1. Simplify runForkedQuery: requestConfig always has tools:[] from NO_TOOLS spread, so the Object.keys().length > 0 ternary is dead code. Pass requestConfig directly. 2. Add generateContentStream test for internal prompt IDs to match the existing generateContent coverage, ensuring the streaming wrapper also skips logApiRequest and OpenAI interaction logging. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: prevent Enter accept from re-inserting suggestion into buffer When accepting a followup suggestion via Enter, accept() queued buffer.insert(suggestion) in a microtask that executed after handleSubmitAndClear had already cleared the buffer, leaving the suggestion text stuck in the input. Add skipOnAccept option to accept() so the Enter path bypasses the onAccept callback. Also add runForkedQuery unit tests verifying tools: [] is passed in per-request config. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(core): add speculation to internal IDs, fix logToolCall filtering, improve suggestion prompt - Add 'speculation' to INTERNAL_PROMPT_IDS so speculation API traffic and tool calls are hidden from chat recordings and tool call UI - Add isInternalPromptId check to logToolCall() for consistency with logApiError/logApiResponse - Improve SUGGESTION_PROMPT: prioritize assistant's last few lines and extract actionable text from explicit tips (e.g. "Tip: type X") - Fix garbled unicode in prompt text - Update design docs and user docs to reflect changes - Add test coverage for all new behavior * fix(core): deep-freeze NO_TOOLS, add speculation to loggingContentGenerator tests - Object.freeze NO_TOOLS and its tools array to prevent runtime mutation - Add 'speculation' to loggingContentGenerator internal prompt ID tests for consistency with loggers.test.ts and internalPromptIds.ts * fix(core): fix NO_TOOLS Object.freeze type error Use `as const` with type assertion to satisfy TypeScript while keeping runtime immutability via Object.freeze. * refactor(core): remove unused isInternalPromptId re-export from loggers.ts All consumers import directly from utils/internalPromptIds.js. The re-export was dead code with no importers. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Shaojin Wen
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1e8bc031cc
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feat(core): adaptive output token escalation (8K default + 64K retry) (#2898)
* feat(core): adaptive output token escalation (8K default + 64K retry) 99% of model responses are under 5K tokens, but we previously reserved 32K for every request. This wastes GPU slot capacity by ~4x. Now the default output limit is 8K. When a response hits this cap (stop_reason=max_tokens), it automatically retries once at 64K — only the ~1% of requests that actually need more tokens pay the cost. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add design doc and user doc for adaptive output token escalation - Add design doc covering problem, architecture, token limit determination, escalation mechanism, and design decisions - Document QWEN_CODE_MAX_OUTPUT_TOKENS env var in settings.md - Add max_tokens adaptive behavior explanation in model config section --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Shaojin Wen
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3bce84d5da
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feat(cli, webui): add follow-up suggestions feature (#2525)
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* feat(cli, webui): add follow-up suggestions feature Implement context-aware follow-up suggestions that appear after task completion, suggesting relevant next actions like "commit this", "run tests", etc. - Add `followup/` module with types, generator, and rule-based provider - Export follow-up types and functions from core index - 8 default suggestion rules covering common workflows - Add `useFollowupSuggestionsCLI` hook for Ink/React - Integrate suggestion generation in AppContainer when streaming completes - Add Tab key to accept, arrow keys to cycle through suggestions - Display suggestions as ghost text in input prompt - Add `useFollowupSuggestions` hook for React - Update InputForm to display suggestions as placeholder - Add CSS styling for suggestion appearance with counter - Add keyboard handlers (Tab, arrow keys) - After streaming completes with tool calls, suggestions appear - Tab accepts the current suggestion - Left/Right arrows cycle through multiple suggestions - Typing or pasting dismisses the suggestion - Shell command rules (tests, git, npm install) don't work yet due to history not storing tool arguments - VSCode extension integration pending - Web UI needs parent app integration for suggestion generation Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: resolve merge conflicts and build errors - Rebased on upstream main ( |
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tanzhenxin
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0c1635c26c |
docs(channels): consolidate design docs into single file
- Fix broken references to non-existent files - Replace "What's Next" with detailed "Future Work" roadmap - Remove redundant implementation, roadmap, and testing guide files - User docs already cover these topics in docs/users/features/channels/ This consolidates the channels design documentation into a single authoritative design doc, reducing duplication and maintenance burden. Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com> |
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tanzhenxin
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2ca45b72f5 |
docs(channels): remove personal info from design docs
Replace personal paths, user IDs, and names with generic placeholders. Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com> |
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tanzhenxin
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bac0ba0cc2 |
docs(channels): add design documentation for channels feature
- Architecture overview with platform adapters and ACP bridge - Plugin system contract and extension loading - Implementation guides for Telegram, WeChat, DingTalk - Testing guide with mock servers and E2E scenarios - Feature roadmap and known limitations These docs provide the foundation for the external messaging integrations. Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com> |