_tool_remember and on_memory_write were posting memories as session
messages that depend on commit-time VLM extraction to persist. With
extraction_enabled: false (no VLM configured), the extraction pipeline
never processes these messages, causing memories to be silently lost.
Replace both paths with direct POST to /api/v1/content/write?mode=create,
which creates the file, stores the content, and queues vector indexing
in a single API call. Error reporting is immediate — no silent failures.
- Maps viking_remember category to viking:// subdirectory
- Generates UUID-based URIs via uuid4().hex[:12]
- Returns byte count in confirmation message
_maybe_follow_capture() issued a follow-up screenshot unconditionally
when capture_after=True, even when res.ok=False. The model then received
a normal-looking screenshot alongside an error message, and in practice
it often ignored ok=False and proceeded as if the action had succeeded.
Fix: return _text_response(res) early when res.ok is False so the model
receives only the error and can decide how to recover.
Tests added:
- test_capture_after_skipped_when_action_failed: patches click to return
ok=False and asserts no capture call is issued.
- test_capture_after_fires_when_action_succeeds: ensures the happy path
still triggers the follow-up capture.
_dispatch() routes action="set_value" to backend.set_value(), but:
- ComputerUseBackend did not declare set_value as @abstractmethod, so
subclasses could silently omit it without a TypeError at class load time.
- _NoopBackend (the test/CI stub) had no set_value method at all, causing
AttributeError in any test that exercises the set_value action path.
Fix:
- Add set_value as @abstractmethod to ComputerUseBackend in backend.py.
- Add a recording stub in _NoopBackend in tool.py.
- Add two TestDispatch cases: one verifying the call reaches the backend,
one verifying the missing-value guard returns a clean error.
curses.init_pair(N, 8, -1) uses extended color 8 ("bright black" /
dim gray) which does not exist on 8-color terminals (COLORS == 8,
valid range 0-7). This crashes the entire plugins UI, session
browser, and radio picker in Docker containers with:
curses.error: init_pair() : color number is greater than COLORS-1
Replace all 5 occurrences across plugins_cmd.py, main.py, and
curses_ui.py with min(8, curses.COLORS - 1), which falls back to
COLOR_WHITE (7) on 8-color terminals.
Closes#13688
Some providers (Xiaomi MiMo, some Alibaba endpoints, a long tail of
OpenAI-compatible servers) follow the OpenAI spec strictly and require
tool message `content` to be a string — they reject our list-type
content (text + image_url parts) with HTTP 400 'text is not set' /
'tool message content must be a string'.
Instead of an allowlist of known-good providers (maintenance burden,
guaranteed to miss aggregators like OpenRouter where the underlying
model determines support, not the aggregator name), this lands a
reactive recovery:
1. New `FailoverReason.multimodal_tool_content_unsupported` with a
small pattern list covering the common 400 wordings.
2. `AIAgent._try_strip_image_parts_from_tool_messages` walks the API
message list, downgrades any `role:tool` message whose content is
list-with-image to a plain text summary (preserves text parts) in
place, AND records the active (provider, model) in a session-scoped
`_no_list_tool_content_models` set.
3. `_tool_result_content_for_active_model` short-circuits to a text
summary when (provider, model) is in the cache — so after the first
400 + retry, subsequent screenshots in the same session skip the
round trip entirely.
4. Retry hook in `agent.conversation_loop` mirrors the existing
`image_too_large` recovery: detect the reason, run the helper,
retry once, fall through to the normal error path if no list-type
tool content was actually present.
Cache is transient (per-session) by design — next session retries in
case the provider added support, no persistent state to maintain.
Fixes#27344. Closes#27351 (allowlist approach superseded by reactive
recovery).
The ensure('stt.faster_whisper') lazy-install mechanism was defined in
lazy_deps.py but never called from the STT code path. When
_HAS_FASTER_WHISPER (a module-level constant) evaluated to False at
import time, _get_provider() returned 'none' immediately without
attempting installation. On fresh container builds or venv recreations,
this meant voice message transcription broke silently until someone
manually installed faster-whisper.
Add _try_lazy_install_stt() helper that calls ensure() and
re-checks dynamically via importlib.util.find_spec. Wire it into
all three gates in transcription_tools.py:
- _get_provider() explicit 'local' path (line 221)
- _get_provider() auto-detect path (line 287)
- _transcribe_local() guard (line 405)
This ensures the first voice message after any fresh install triggers
auto-installation instead of failing permanently until a process restart.
The memory-provider gate added in the prior commit closes one of two
blind-injection sites in agent_init.py. The context engine block (lines
~1445) follows the identical pattern: agent.context_compressor.get_tool_schemas()
(lcm_grep, lcm_describe, lcm_expand) was appended to agent.tools unconditionally,
ignoring enabled_toolsets.
Same bug class, same local-model latency penalty, same one-line gate — using
'context_engine' as the toolset name (matches the existing plugin-system
convention in plugins.py, plugins_cmd.py, etc.).
Also adds Lempkey to scripts/release.py AUTHOR_MAP for the prior commit's
authorship.
MemoryManager.get_all_tool_schemas() output was appended to AIAgent.tools
unconditionally — bypassing the enabled_toolsets / platform_toolsets filter.
Setting `platform_toolsets: telegram: []` had no effect: fact_store and other
memory provider tools still leaked into the tool surface on every session.
Impact on local models (per @thundercat49's benchmarks on Qwen3-30B-A3B Q4_K_M /
RTX 3090): tool-formatted prompts process at 134 tok/s vs 1,230 tok/s for plain
text. With 8 memory tool schemas injected, a simple 'hello' on Telegram took
~42s instead of ~1.7s. Small models also entered tool-call loops when memory
tools were the only tools present.
Gate condition (matches the natural meaning of enabled_toolsets):
None → no filter, inject (backward compat)
contains 'memory' → user opted in, inject
otherwise (including []) → skip injection
Co-authored-by: Teknium <127238744+teknium1@users.noreply.github.com>
* fix(tui): surface verbose tool details
Emit redacted structured verbose args/results to the TUI so /verbose verbose can show full tool detail without reopening stdout, and fail closed if redaction is unavailable.
Salvages #29011.
Co-authored-by: helix4u <4317663+helix4u@users.noreply.github.com>
* fix(tui): address verbose detail review
Label verbose tool failures as errors, cover forced verbose reasoning, and avoid new diff type warnings from the redaction regression tests.
* fix(tui): bound verbose tool payloads
Cap verbose tool detail text before emitting JSON-RPC events and preserve verbose results on inline diff completions.
* fix(tui): align termux argv test with gc flag
Update the stale TUI launch expectation so the Termux freshness path matches the current direct Node argv.
---------
Co-authored-by: helix4u <4317663+helix4u@users.noreply.github.com>
The upstream cua-driver installer resolves the latest release and attempts
to download an architecture-specific asset. When the release only ships
arm64 builds (as of v0.1.6), the installer fails with a raw 404 on Intel
macOS with no clear path forward.
Add _check_cua_driver_asset_for_arch() that probes the GitHub Releases API
before running the installer. If the latest release has no x86_64/amd64
asset, print a clear warning and link to the upstream issue. On arm64 or
API failure, fail open and let the installer proceed as before.
Fixes#24530
Reported by @LikiusInik in Discord: on Termux only 3 built-in skills
appeared and /gh-pr-workflow + every other slash-skill from
github/productivity/mlops was missing.
Root cause: skill_matches_platform() compares sys.platform.startswith()
against the skill's platforms list. Termux is a Linux userland on
Android, but Python 3.13+ reports sys.platform == "android" instead of
"linux" — so the ~60 built-in skills tagged platforms:[linux,macos,
windows] (github-pr-workflow, google-workspace, github-auth,
huggingface-hub, etc.) all got filtered out at the listing step in
tools/skills_tool.py:_find_all_skills and never appeared as /slash
commands or in skill_view.
Fix: when is_termux() detects we're running inside Termux, accept
"linux" platform tags regardless of whether sys.platform is "linux"
(pre-3.13) or "android" (3.13+). Also accept explicit
platforms:[termux] / [android] tags. macOS-only and Windows-only
skills correctly remain excluded.
E2E (simulated TERMUX_VERSION=set + sys.platform="android"):
Before: _find_all_skills() returned ~3 skills.
After: _find_all_skills() returns 84 skills including
github-pr-workflow, google-workspace, github-auth,
huggingface-hub. Apple-only skills remain excluded.
Non-Termux Linux/macOS/Windows behavior unchanged (verified).
Tests: tests/agent/test_skill_utils.py — 9 new cases covering
android-as-Termux, the [linux,macos,windows] case, macOS-only
exclusion, explicit termux/android tags, non-Termux Android safety,
and unchanged behavior on real Linux/macOS.
Salvaged from #28942 (adybag14-cyber). Only the Ink TUI half is taken
here — the bundled "termux compatibility note" added to skills_tool.py
in the original PR did not address the actual user-reported bug
(skill_matches_platform() filtering Linux skills out on Termux) and
also regressed the EXCLUDED_SKILL_DIRS set used to prune nested
.venv/site-packages skills.
Changes:
- ui-tui/src/lib/prompt.ts: single-cell ASCII '>' marker in Termux mode
to avoid ambiguous-width glyph artifacts while typing.
- ui-tui/src/components/appLayout.tsx: suppress profile prefix on
narrow Termux panes (>=90 cols still shows it).
- ui-tui/src/lib/inputMetrics.ts + components/messageLine.tsx +
lib/virtualHeights.ts: termux-aware transcript body width — drop
the desktop 20-col floor on narrow mobile layouts, align virtual
heights with actual rendered width.
- ui-tui/src/components/textInput.tsx: disable fast-echo bypass by
default in Termux to avoid ghosting at soft-wrap boundaries.
HERMES_TUI_TERMUX_FAST_ECHO=1 opts back in.
Tests: ui-tui/src/__tests__/{prompt,termuxComposerLayout,textInputFastEcho}.test.ts
(12 PR-added tests pass; 3 pre-existing wrapAnsi-bundling failures on
main are unrelated.)
The real skill-listing fix on Termux ('android' platform matching
Linux skills) ships as a follow-up commit on this branch.
The cherry-pick of #22891 (max_elements cap) reshuffled _capture_response
so summary was assigned inside both the multimodal and AX branches,
but #30126's aux-vision routing call (_route_capture_through_aux_vision)
fires BEFORE either branch and references the not-yet-bound name.
Compute summary once up-front, keep the AX-branch rebuild for the
truncation note.
Four findings from Copilot's review on PR #22891, all in the AX
elements-array cap added by 22fa1ed:
1. The truncation note ("response truncated to N of M elements") was
appended unconditionally — including in the som/vision multimodal
path, whose response carries a screenshot rather than an `elements`
array. The note described a payload field that wasn't present.
Moved the note into the AX-text branch where the array actually
appears.
2. `_format_elements(cap.elements)` ran on the full untrimmed list with
its own `max_lines=40` cap, so a caller passing `max_elements=10`
would see summary lines referencing `#11..#40` even though the JSON
`elements` array only held #1..#10. Format on `visible_elements`
instead so the summary indices always exist in the response.
3. `_coerce_max_elements` enforced a lower bound but no upper bound,
so `max_elements=10_000_000` silently disabled the safeguard and
reintroduced the original context-blow-up. Added a hard cap
(`_MAX_ALLOWED_MAX_ELEMENTS = 1000`) that clamps oversized values.
4. The schema string said "Default 100" but the property carried no
`default` field, and claimed `max_elements` had no effect on som/
vision while the image-missing fallback path can still return an
elements array. Added `"default": 100`, `"maximum": 1000`, and
clarified the fallback-path wording.
Each finding gets a regression test:
- test_capture_ax_clamps_oversized_max_elements_to_hard_cap
- test_capture_ax_summary_indices_match_returned_elements
- test_capture_multimodal_summary_omits_truncation_note
- test_schema_max_elements_documents_default_and_upper_bound
Verified with `pytest tests/tools/test_computer_use.py` (53 passed,
including the 5 new cases). Confirmed each new test fails on the
pre-fix code path before applying the production change.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
`computer_use(action='capture', mode='ax')` returned the full AX element
list verbatim in the JSON response. Dense Electron / Obsidian / JetBrains
UIs publish 500+ AX nodes (one reproduction in #22865 returned 597
elements against Obsidian), so a single capture could consume enough
context to trigger compression failures or render the session unusable.
The human-readable `_format_elements` summary is already capped at 40
lines, so the truncation gap was invisible to anyone reading the summary
output.
Add a `max_elements` argument to the tool schema, default 100, that
trims the AX `elements` array. When the cap fires, the response surfaces
`total_elements` and `truncated_elements` and appends a "raise
max_elements or pass app= to narrow" hint to the summary so the model
knows the JSON view is partial and can re-issue with a tighter scope.
Validation is centralized in `_coerce_max_elements`: missing /
non-integer / sub-1 inputs fall back to the default cap, so the
protection can never be silently disabled by a malformed tool-call
argument. The cap only affects AX-mode JSON; `mode='som'` and
`mode='vision'` keep returning a screenshot + image-aware summary
unchanged.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Streamdown's per-Block parse cost grows with the live tail's length and
is unavoidable inside the block-memo pattern (industry standard, see
findings doc). The fix is to stop having that work block the main thread.
`<DeferStreamingText>` is a 12-line wrapper that reads message-part state
via `useMessagePartText`, runs it through `useDeferredValue`, and
re-publishes via assistant-ui's `<TextMessagePartProvider>`. The inner
`<StreamdownTextPrimitive>` reads the deferred value through the normal
`useMessagePartText` hook — no fork, no internal-path imports, fully on
assistant-ui's public API. React's concurrent scheduler then:
- abandons in-flight deferred renders when a newer token arrives, so
intermediate states get skipped under fast streams
- deprioritises the markdown render when the main thread has urgent
work (typing, scroll), so input stays responsive even while a
100ms parse is queued
Streamdown already uses `useTransition` for its block-array setState;
this lifts the deferral up to the consumer boundary so it covers the
whole pipeline (preprocess → split → repair → parse → render).
A/B on the 34 MB session, 300 tokens at 50 tok/sec, markdown chunks
(four trials each, with the 33ms flush throttle on for both):
| | avgFps | p99 frame | LTs/5s | max LT | typing-while-stream p95 |
|---|---|---|---|---|---|
| pre | 54.3 | 41 ms | 1.7 | 110 ms | ~17 ms |
| post | 58.5 | 31 ms | 2.0 | 117 ms | 14-18 ms |
Longtask count + max LT unchanged — useDeferredValue doesn't reduce
CPU, only its priority. The avgFps lift and p99 frame drop are the
proof that the existing CPU is no longer blocking 60 fps cadence. One
clean run logged MUTATIONS=0 — React skipped every intermediate text
state and only committed the final one (textbook deferred-value
behaviour).
The actually-reduce-CPU path is replacing the parser with a state
machine like Flowdown — left for a future PR; see
`apps/desktop/scripts/profile-typing-lag.md` for the full investigation.
* feat(tui): make display.mouse_tracking pick which DEC modes to enable
Previously the boolean flag was all-or-nothing across modes 1000+1002+1003+1006.
Inside tmux, mode 1003 (any-motion) makes every mouse cross of the prompt row
fire a clipboard probe that surfaces as "No image in clipboard" — sometimes
dozens in a row. Disabling tracking entirely killed scroll-wheel scrolling too,
since tmux's own scrollback is preempted by the alt-screen TUI.
`display.mouse_tracking` (and `/mouse <preset>`) now accepts `off | wheel |
buttons | all` in addition to the legacy booleans. `wheel` is 1000+1006:
scroll wheel + click only, no drag, no hover — the tmux-friendly subset.
`buttons` adds 1002 for drag-to-select. `all` (= legacy `true`) keeps the
hover-driven UI (scrollbar paginate-on-hover, link mouseenter, etc.).
* fix(tui): repaint + sync mouse mode when display.mouse_tracking changes
Two interacting bugs left the TUI blank when `display.mouse_tracking`
switched at runtime (config edit, /mouse <preset>):
1. AlternateScreen's effect re-runs on every `mouseTracking` change,
tearing down and re-entering the alt screen. After re-entry, ink's
frame buffers are reset by `resetFramesForAltScreen()` but nothing
schedules the follow-up render — the alt screen sits blank until
some other state change happens to trigger one. Add a
`scheduleRender()` in `setAltScreenActive`'s active=true branch so
the freshly-entered alt screen gets a full repaint immediately.
2. `setAltScreenActive` early-returns when `active` hasn't changed,
which silently drops a `mouseTracking` change if the cleanup→setup
pair somehow leaves `altScreenActive` already true. Call
`setAltScreenMouseTracking` explicitly from the AlternateScreen
effect so the in-memory mode and terminal DECSET sequence stay in
sync regardless of how `setAltScreenActive` resolved (the call is a
no-op when the mode is unchanged).
* fix(tui): address copilot review #4341269705
- tui_gateway/server.py: drop the never-referenced _MOUSE_TRACKING_MODES
frozenset (comment #3284802434). _MOUSE_TRACKING_ALIASES already
centralizes the canonical preset set via its values; the separate
constant added no behavior.
- tests/test_tui_gateway_server.py: update the existing
test_config_mouse_uses_documented_key_with_legacy_fallback to assert
the new preset strings ('all'/'off' instead of 'on'/'off',
display.mouse_tracking persisted as 'all' instead of True) and add
test_config_mouse_accepts_preset_strings_and_aliases covering /mouse
set with wheel/click/unknown (comment #3284802453). The on/off legacy
config.set return shape was an implementation detail of the boolean
flag, not a stable API — the slash command, gateway help text, and
docs all advertise the preset values now.
- ui-tui/packages/hermes-ink/src/ink/ink.tsx: schedule a render at the
end of reenterAltScreen() (comment #3284802461). Mirrors the same fix
in setAltScreenActive() from ece0a2f4c — without it, SIGCONT/resize
self-heal/stdin-gap re-entry leaves the alt screen blank because
every caller returns early after invoking us.
* fix(tui): address copilot review #4341308478 round 2
- ui-tui/src/config/env.ts (comment #3284837577): the precedence
comment was misleading. Actual behavior on origin/main is
HERMES_TUI_MOUSE_TRACKING (explicit override) > Termux default >
HERMES_TUI_DISABLE_MOUSE legacy kill-switch. This is preserved from
main; the only change here was the wrong comment that claimed
DISABLE_MOUSE kept kill-switch semantics. Rewrote the comment block
to document the actual precedence ladder.
- tui_gateway/server.py /mouse set (comment #3284837607): replaced
'str(value or "").strip().lower()' with the explicit None idiom
already used for /indicator, so programmatic callers can pass 0 /
False and have them route through _MOUSE_TRACKING_ALIASES → 'off'
instead of collapsing to '' and triggering the toggle path.
- ui-tui/packages/hermes-ink/src/ink/components/AlternateScreen.tsx
(comment #3284837620): always prepend DISABLE_MOUSE_TRACKING before
enableMouseTrackingFor(...) on mount. Otherwise selecting
'wheel'/'buttons' from a state where DEC 1003 was already asserted
(crash, another app, debugger) would silently leave hover on. Also
unconditionally DISABLE on unmount so a crash mid-mount can't leak
DEC modes back to the host shell.
* chore(release): map nat@nthrow.io to @nthrow for #26681 salvage
* fix(tui): drop redundant setAltScreenMouseTracking in AlternateScreen
Copilot review #4341356637 (comment #3284880417). The explicit
setAltScreenMouseTracking(mouseTracking) after setAltScreenActive(true,
mouseTracking) was defensive paranoia added in the previous fix commit
that's not actually reachable in practice:
- React's cleanup always runs before the next setup, so on any prop
change (mouseTracking or writeRaw) the cleanup sets active=false
first. Setup then sees active was false and applies the new mode
via setAltScreenActive without early-returning.
- On the impossible 'active stayed true' path, the writeRaw above has
already sent DISABLE_MOUSE_TRACKING + enableMouseTrackingFor(newMode)
to the terminal, so the in-memory mode would lag but the visible
state is already correct.
Removing the redundant call means a single DEC sequence per mount.
If the 'active stayed true' path ever manifests in practice, the
right fix is in setAltScreenActive (track mode regardless of the
active early-return), not here.
* fix(tui): always DISABLE before enableMouseTrackingFor in ink.tsx
Copilot review #4341379994 (comments #3284900825, #3284900840,
#3284900852). Three remaining call sites in ink.tsx still re-enabled
mouse tracking without first sending DISABLE_MOUSE_TRACKING:
- handleResize alt-screen recovery (line ~577)
- reassertTerminalModes stdin-gap re-assertion (line ~1351)
- reenterAltScreen SIGCONT/resize/stdin-gap self-heal (line ~1408)
For 'wheel'/'buttons' presets, omitting DISABLE leaves any externally-
asserted DEC 1003 (other apps, prior crash, tmux state) still active
and the hover-free preset silently has hover on. DISABLE_MOUSE_TRACKING
is idempotent and safe to send unconditionally — it resets all four
modes. Matches the pattern already in setAltScreenMouseTracking and
the AlternateScreen mount path.
* fix(tui): always DISABLE before enableMouseTrackingFor in exitAlternateScreen
Copilot review #4341452823 (comment #3284959762). exitAlternateScreen()
was the last call site in ink.tsx still re-enabling mouse tracking
without DISABLE first. Editors (vim/nvim/less) and tmux can leave
DEC 1003 hover asserted across the handoff back; without DISABLE,
'wheel'/'buttons' presets silently kept hover on after the editor
quit. Now all five enableMouseTrackingFor() call sites in ink.tsx
prepend DISABLE_MOUSE_TRACKING — handleResize, reassertTerminalModes,
reenterAltScreen, setAltScreenMouseTracking, exitAlternateScreen.
* fix(tui): add defensive default to enableMouseTrackingFor switch
Copilot review #4341485231 (comment #3284979323). TS exhaustive switch
returns string per the type system, but a JS caller / corrupted config
/ hot-reload-in-dev could reach the function with an unknown value at
runtime. Without a default, that path returns undefined which then
concatenates as the literal string 'undefined' into the terminal byte
stream — visibly garbling output. Treat unknown as 'off' (no DEC
sequences) so the worst case is silent input loss rather than a
wrecked screen.
---------
Co-authored-by: Nat Thrower <nat@nthrow.io>
`scheduleDeltaFlush` previously coalesced via `requestAnimationFrame`
only. The "at most one flush per frame" guarantee that gives you is fine
for fast streams (>~80 tok/sec) where multiple tokens arrive within a
single frame, but breaks down at typical LLM token rates (30-80 tok/sec)
where each token arrives slower than the rAF cadence and triggers its
own React commit + Streamdown markdown re-parse.
Track `lastFlushAt` and require at least 33 ms between two flushes.
React 18+ auto-batching probabilistically already collapsed some of
these, but the floor makes it deterministic.
A/B on the 34 MB session, 300 tokens at 50 tok/sec (markdown chunks):
| | avgFps | p99 frame | LTs / 5 s | max LT |
|---|---|---|---|---|
| no floor (current rAF) | 54.0 | 38 ms | 2.0 | 145 ms |
| 33 ms floor (this PR) | 54.3 | 41 ms | 1.7 | 110 ms |
`inter-mutation` p50 also tightens from 22-28 ms to a clean 33 ms,
which is the expected signature of a deterministic floor. Doesn't fully
solve the user's perceived hitches — Streamdown's per-Block parse cost
when the last block grows past ~2 k chars is still the elephant — but
it consistently shaves the worst-case longtask and makes the streaming
cadence visibly steadier.
Also threads a matching `flushMinMs` option through the synthetic
stream driver in `perf-probe.tsx` + `scripts/measure-synthetic-stream.mjs`
so the harness can A/B both regimes without spending LLM credits.
See `scripts/profile-typing-lag.md` for the full investigation.
The inline `plugins={{ math: mathPlugin, ...(isStreaming ? {} : { code }) }}`
on `<StreamdownTextPrimitive>` constructed a new object literal on every
parent render. That broke `<Streamdown>`'s outer memo and forced its
internal `rehypePlugins` / `remarkPlugins` array useMemos to rebuild,
which propagates a new identity into every `<Block>` and defeats Block's
memoization for stable historical blocks.
After memoizing on `[isStreaming]` (the only real dimension of variance),
CPU profile during a 5 s synthetic stream on the 34 MB session shows
`parser` self-time dropping out of the top 10, `compile` cut roughly in
half, and `bn$1` / `m$1` (micromark internals) leaving the top entries.
Doesn't move the visible longtask count on its own — Streamdown's
per-Block parse cost still dominates whenever the last block's content
changes — but it removes a class of unnecessary re-parses for historical
blocks during streaming. See `scripts/profile-typing-lag.md` for the
full investigation.
FadeText is used 110+ times inside `tool-fallback.tsx` on a tool-heavy
thread. During streaming each parent re-render previously triggered the
component's `useEffect([children])`, which forced a `scrollWidth` layout
read even when the title text was unchanged. The `useResizeObserver` was
already covering the genuine resize case, so that effect was strictly
redundant work.
Drops the effect and wraps the component in `React.memo` with a custom
comparator that field-compares `className`, `fadeWidth`, and `style`,
plus identity-compares `children` (scalar fast-path; correct for JSX
nodes too since a new node should force a re-render).
Verified via temporary render counter on the 34 MB
`session_20260514_215353_fe0ac8` thread (110 FadeText instances): a
2 s synthetic stream went from ~11k FadeText render calls to 122 —
roughly one render per truly-new instance instead of one per parent
commit per instance.
Doesn't move the longtask needle on its own (Streamdown's markdown
re-parse dwarfs it) but eliminates a steady CPU floor and a class of
forced layouts during streaming. Profile-typing-lag.md documents the
full investigation, including the remaining Streamdown cost as the
real source of the perceived "5 fps moment" hitches.
Drops the React `<Profiler>` approach (no-op because Vite is currently
serving the production React build) in favor of an externally-observable
measurement stack: rAF frame intervals, `PerformanceObserver({entryTypes:
['longtask']})`, and a `MutationObserver` on the live streaming message.
Adds a synthetic stream driver — `window.__PERF_DRIVE__.stream({...})` —
that pushes tokens through the live `$messages` atom at a controlled rate,
so the assistant-ui runtime, incremental repository, and Streamdown
markdown pipeline see the same workload they'd see during a real LLM
stream, without the LLM cost.
The driver lives in `src/app/chat/perf-probe.tsx`; `main.tsx` side-imports
it under `import.meta.env.MODE !== 'production'` so it tree-shakes out of
prod builds. (Using `MODE` rather than `DEV` because our Vite setup
currently reports `DEV=false` even under `vite dev` — see the dev-build
note in `profile-typing-lag.md`.)
Scripts:
- measure-synthetic-stream.mjs drive synthetic + record frame/longtask/mutation
- profile-synth-stream.mjs CPU profile + top self-time during synthetic
- measure-real-stream.mjs same harness, real LLM stream
- profile-real-stream.mjs CPU profile bracketing the real stream window
- eval.mjs / reload.mjs small CDP helpers
A real-LLM measurement on Cloud Shadows (gpt-4o-mini, 39 s window) showed
12 longtasks in the same 75-127 ms range the synthetic predicted, so the
synthetic is a faithful proxy.
Add tests/tools/test_computer_use_capture_routing.py — 13 integration
tests that drive _capture_response end-to-end with deterministic stubs
for the routing helper, _run_async, vision_analyze_tool, and
get_hermes_dir, so the full code path is exercised without a live
cua-driver, real auxiliary client, or network access.
Coverage:
* TestCaptureResponseDefaultPath (3 cases)
- SOM PNG capture returns the legacy multimodal envelope when the
routing helper says 'native' (image/png MIME).
- Same path returns image/jpeg MIME for JPEG payloads (cua-driver
can return either).
- AX-only mode never even consults the routing helper because no
PNG is present.
* TestCaptureResponseRoutedToAuxVision (5 cases)
- SOM capture with routing on returns a JSON string with the
vision_analysis embedded, the AX/SOM index preserved, and NO
image_url parts. Verifies the aux call receives a path under
the configured cache and a prompt that grounds itself against
the AX summary.
- Temp screenshot file is unlinked after _capture_response returns,
including when the aux call raises (the finally block runs).
- Empty / malformed aux analysis falls back to the multimodal
envelope so the user always gets *something* useful.
* TestRoutingDecisionWiring (4 cases)
- Explicit auxiliary.vision in config flips routing on regardless of
main-model vision capability.
- Vision-capable main + native tool-result support keeps multimodal.
- Config load failure fails open (returns False, multimodal path
continues to work).
- Helper exception is swallowed and routes to legacy behaviour.
* TestBugReproductionAnchor (1 case) - directly pins the #24015
contract: when routing is on, the response must NEVER contain a
'data:image' or 'image_url' substring. That is exactly what tripped
the reporter's HTTP 404 ('No endpoints found that support image
input') on tencent/hy3-preview before the fix.
Bug-reproduction proof:
$ git checkout upstream/main -- tools/computer_use/tool.py
$ scripts/run_tests.sh tests/tools/test_computer_use_capture_routing.py
============================== 13 failed in 1.29s ==============================
$ # restore tool.py to this branch's HEAD
$ scripts/run_tests.sh tests/tools/test_computer_use_capture_routing.py
============================== 13 passed in 1.04s ==============================
Total branch coverage:
85 passed across test_computer_use.py, test_computer_use_vision_routing.py,
test_computer_use_capture_routing.py
When the active main model has no vision capability — or when the user
explicitly configured auxiliary.vision in config.yaml — sending the
captured screenshot back to the main model in a multimodal tool-result
envelope is the wrong move: it trips HTTP 404 / 400 at the provider
boundary (e.g. 'No endpoints found that support image input') and the
agent loop reports a hard tool failure for what should have been a
simple capture.
The reporter on #24015 hit this with:
model:
default: tencent/hy3-preview # no vision support
provider: openrouter
auxiliary:
vision:
provider: openrouter
model: google/gemini-2.5-flash # explicitly configured
…and observed:
computer_use(action='capture', mode='som')
→ ⚠️ API call failed (attempt1/3): NotFoundError [HTTP 404]
🔌 Provider: openrouter Model: tencent/hy3-preview
📝 Error: HTTP 404: No endpoints found that support image input
Fix: in tools/computer_use/tool.py::_capture_response, after a
screenshot is captured (modes 'som' / 'vision'), consult the routing
helper introduced earlier in this branch. When it says 'route to aux',
materialise the PNG to $HERMES_HOME/cache/vision/, run vision_analyze
on it (which honours auxiliary.vision via the standard async_call_llm
task='vision' router), and return a text-only JSON tool result that
embeds the analysis alongside the existing AX/SOM index. The main
model never sees the pixels — it sees an actionable text description
plus the same set-of-mark element index it normally uses.
The two new helpers (_should_route_through_aux_vision,
_route_capture_through_aux_vision) keep the policy and the IO
separated so each can be tested in isolation. Both fail open: if the
config import fails, if the aux call raises, or if the analysis is
empty, we fall back to the existing multimodal envelope so the
behaviour is at worst the pre-fix status quo. Temp screenshot files
are cleaned up unconditionally in a finally block — even on aux call
failure — to avoid leaving residue under cache/vision/.
The end-to-end regression for #24015 is added in the next commit.
Add tests/tools/test_computer_use_vision_routing.py — 28 unit tests
that pin the contract of the new vision-routing helper introduced in
the previous commit:
* TestExplicitAuxVisionOverride (12 cases): mirror the
auxiliary.vision detection rules used by agent.image_routing so
the capture path and the user-attached-image path agree on what
counts as an explicit override (provider/model/base_url with
non-blank, non-'auto' values).
* TestRouteDecision (7 cases): pin the policy itself — explicit
override always wins, vision-capable + native-tool-result keeps
multimodal, everything else fails closed and routes to aux.
* TestLookupHelpers (5 cases): defensive paths for the models.dev /
tool-result-support lookups (blank inputs, exceptions, missing
caps).
* TestModuleSurface (4 cases): pin the public/__all__ surface and
keep internal helpers addressable so the integration test in the
next commit can monkeypatch them deterministically.
Run with:
scripts/run_tests.sh tests/tools/test_computer_use_vision_routing.py
Add tools/computer_use/vision_routing.py with
should_route_capture_to_aux_vision(provider, model, cfg) — a small
policy helper that decides whether a captured screenshot should be
returned as a multimodal envelope (main model has native vision) or
pre-analysed through the auxiliary.vision pipeline so the main model
only sees text.
The decision mirrors agent.image_routing.decide_image_input_mode for
user-attached images, so the capture path and the user-turn path agree
on what counts as an explicit aux vision override:
* provider/model/base_url under auxiliary.vision => explicit override
=> route through aux vision
* provider+model accepts multimodal tool results AND main model
reports supports_vision=True => keep multimodal envelope
* everything else (no tool-result image support, non-vision model,
metadata lookup failure) => fail closed and route through aux
No call sites are changed in this commit; the helper is added in
isolation so the routing decision can be unit-tested before it is
plumbed into _capture_response().
The bundled-skill sync stamp added in the cherry-picked salvage commit
parsed .git/HEAD and looked for a loose ref file in the worktree gitdir
only, so two real cases hit the unresolved branch:
- repos after `git gc` where active refs live in packed-refs
- linked worktrees, whose branch ref lives in <commondir>/refs/heads/
(verified on the worktree this salvage was built in)
Both fell back to a constant-string fingerprint, so post-commit launches
would never re-run the real skill sync. Now we resolve packed-refs and
check both the worktree gitdir and the common dir for loose refs.
Adds three tests covering: packed-refs resolution, worktree common-dir
packed lookup, worktree common-dir loose lookup, and the explicit
'unresolved' marker (still stable + version-fallback-safe).
`CuaDriverBackend.capture(app=X)` and `focus_app(app=X)` silently fell back
to the frontmost on-screen window when X matched no app — typically a
menu-bar utility (e.g. "Fuwari" in the bug reporter's case) rather than
the requested app. The agent then received UI elements for the wrong app
and clicked / typed into it.
The root cause is a localized macOS app name mismatch: `list_windows`
returns the localized `app_name` (e.g. "計算機" on a Japanese/Chinese
system) but callers naturally pass the English name ("Calculator"). The
substring filter doesn't match, and the code falls through to picking the
frontmost window with no signal that the filter was effectively dropped.
Fix:
- `capture(app=…)`: when the filter matches nothing, return a
`CaptureResult` with empty `app`/`elements` and a diagnostic
`window_title` pointing the caller at `list_apps` and noting the
localized-name convention. `_active_pid` / `_active_window_id` are left
untouched so a subsequent action doesn't inadvertently hit the wrong
process.
- `focus_app(app=…)`: when the filter matches nothing, set `target = None`
and let the existing `return ActionResult(ok=False, …, "No on-screen
window found for app …")` path fire instead of falsely reporting success
on the frontmost window.
This addresses bug 1 only from #24170. Bugs 2 & 5 are addressed in #30046;
bugs 3 & 4 in #30032.
Replace composerPlainText() call inside refreshTrigger's no-trigger
fast-bail with a textContent check. textContent is a browser-native
flat traversal; composerPlainText walks recursively with chip-aware
logic. We only need to know if @ or / appears; either way the trigger
char will be in textContent because chips contain @ in their refText.
Profile shows composerPlainText was ~18ms self over a 12s typing-during-
stream window, called from refreshTrigger on every keystroke. Most of
that was the precondition check (the trigger detection path is the
slow path but only runs when a trigger char is present).
Follow-up to the Enter-jump fix. The first version did a synchronous
re-pin loop inside the on-scroll handler when the browser clamped our
`scrollTop = scrollHeight` write short of the new bottom; that gave a
tight 4 px visible jump on Enter, but during streaming the
ResizeObserver fires many times per second as content grows, and each
RO callback re-entered the pin loop. CPU profile showed
`Virtualizer.getMaxScrollOffset` climbing to 22 ms self over a typing-
during-streaming window — the sync re-pin path was paying tanstack-
virtual's recompute cost ~3× per token.
Re-architect:
- RO callback coalesces to one pin per animation frame. Streaming-rate
RO bursts now cost the same as a single per-frame pin.
- The on-scroll programmatic-counter guard remains (it's what prevents
the false-disarm bug when the browser clamps a write). It no longer
does sync re-pins; the next RO/rAF will catch up.
- The useLayoutEffect on groupCount (the path that fires on user
submit / new turn arrival) ALSO schedules one rAF pin in addition to
the synchronous pin. This catches the case where React mounts the
new message in a second commit (after our layout effect ran), which
grows scrollHeight again. Two pins instead of a tight loop, paid only
once per turn change.
Net effect on the Cloud Shadows long thread:
enter-jump transient: 12–20 px for 1 frame (was 49 px permanent)
CPU during stream+type: `getMaxScrollOffset` dropped out of top-5
self-time list
typing-during-stream: p50 ~10 ms paint, p99 ~20 ms (1 frame),
occasional 40 ms+ outliers during burst
token arrivals
Also adds scripts/profile-long-stream.mjs: 20-second streaming profile
with per-500ms FPS histogram + content-length tracking, so we can see
whether streaming render cost grows with message length (it doesn't —
sustained 60 fps).
User reported: after pressing Enter on a long thread, the view jumps up
— the just-submitted message disappears below the fold. Confirmed via
apps/desktop/scripts/measure-jump.mjs:
before: distFromBottom 0 → 49.5px, sticks there permanently
after: distFromBottom 0 → ~0 (worst case 4px for one frame)
Root cause in useThreadScrollAnchor (thread-virtualizer.tsx):
1. The sticky-bottom logic disarmed on any scroll event where
`scrollTop < lastTopRef.current`. That check can't distinguish a
user scrolling up from a programmatic `pinToBottom` write that
the browser clamped short of bottom (because content also grew in
the same frame, so `scrollTop = scrollHeight` lands at
`scrollHeight - clientHeight` for the OLD scrollHeight, which is
now below the NEW scrollHeight). Result: sticky-bottom disarmed
permanently on the user's first submit.
2. There was no synchronous pin tied to React's commit phase. By the
time the ResizeObserver fired and re-pinned, the user had already
seen ~50ms of "message below the fold" — visually that reads as the
view jumping up.
Fix:
- `programmaticScrollPendingRef` counter tracks scroll events we
expect to be ours (one per `pinToBottom` write). The scroll handler
skips the disarm check when consuming a pending tick, keeps the
arm bit true, and re-pins synchronously if the browser clamped us
short of bottom. A depth cap (8) breaks runaway loops in
pathological streaming-burst layouts.
- `useLayoutEffect` on `groupCount` increase pins BEFORE the browser
paints, eliminating the visible ~50ms window between optimistic
user-message insert and the RO/scroll-event chain firing.
Verified on the long Cloud Shadows thread (7-8 turns, ~11k px tall):
all three repro runs now hold within 0–4 px of bottom across the
post-Enter transition. Submit latency unchanged (paint 77–107 ms),
streaming-typing latency unchanged.
Also adds three debug harnesses:
- measure-jump.mjs — sample thread scroll across Enter
- probe-thread.mjs — dump current thread / scroll state
- diag-jump.mjs — intercept scrollTop + RO + mutations across Enter
Re-ran the leak harness on a populated session (Phaser thread) for both
unpatched and patched builds. The original 'listener leak' was transient
warm-up cost, not a steady-state leak — both versions show 0 listener
growth/round in steady state.
The load-bearing number is forced layouts per character:
unpatched (HEAD~2): 7.02 layouts/char
patched (HEAD): 2.35 layouts/char (3× fewer)
The patches reduce per-char forced-layout work to Blink's natural floor.
Document node count and heap are flat in both builds.
Bug 2 (capture_after=True loses app context):
_maybe_follow_capture called backend.capture(mode='som') with no app=,
causing cua-driver to capture the frontmost window instead of the app
targeted by the preceding capture/focus_app. Fix: track _last_app on
CuaDriverBackend and thread it through the follow-up capture call so
the same app is re-captured regardless of which window has OS focus.
Bug 5 (element labels stripped in capture results):
_ELEMENT_LINE_RE matched the classic ' - [N] AXRole "label"' format
but not the '[N] AXRole (order) id=Label' format introduced in
cua-driver v0.1.6. All element labels were silently dropped as empty
strings, making element identification impossible.
Fix: extend regex to capture both group(3) (quoted label) and group(4)
(id= label), and update _parse_elements_from_tree to use group(4) as
fallback. Both old and new cua-driver output now produce populated
UIElement.label values.
focus_app() now also sets _last_app so that capture_after= on any
subsequent action re-targets the focused app.
5 new regression tests added.
Part of #24170 (bugs 1 and 3/4 addressed separately).
teknium1