Every LLM call built a fresh openai.OpenAI wire client (new httpx pool,
TCP+TLS handshake, measured 19.2ms p50 / 35.5ms p95 per call at ~5 calls
per tool-loop turn) and closed it when the request finished. Cache ONE
reusable wire client on the agent, keyed by the effective client kwargs:
- _create_request_openai_client hands back the cached client when the
effective kwargs are identical; any change (credential rotation,
provider failover, vision default_headers) evicts and rebuilds.
- Only a request that produced a response reports a reuse close reason
(request_complete / stream_request_complete); error unwinds report
*_error_cleanup and really close, so a retry after a request error
always builds a fresh pool.
- Cross-thread aborts poison the slot: a pool whose sockets were
shutdown(SHUT_RDWR) from a stranger thread is never reused (#29507) —
the owner-thread close discards it and the next create rebuilds. The
holder read and the abort are atomic (under the holder lock) at all
three abort sites, so a late abort can never poison the NEXT request's
checked-out client.
- Worker-side interrupt breaks close the half-read SSE stream on the
owning thread before building the partial response; a failed close
poisons the slot (otherwise each interrupt leaked one checked-out
connection until the pool hit PoolTimeout). run_codex_stream gets the
same poison-on-close-failure handling.
- Single checked-out slot (in_use): a concurrent call gets an untracked
client with the old per-request lifecycle.
- release_clients() / close() really close the cached client when idle;
if a worker has it checked out they abort the sockets and detach the
slot, deferring the FD release to the worker's own close.
- MoA facade and Mock passthroughs never enter the cache; max_retries=0
is preserved on all request clients.
Every API call in the tool loop persisted its token/cost delta by
calling SessionDB.update_token_counts() synchronously on the turn
thread — a BEGIN IMMEDIATE sessions UPDATE plus a session_model_usage
upsert, measured in production at p50 3.3ms / p95 70.4ms per call and
up to 299ms against a cold multi-GB state.db. The tool loop stalls for
that long between calls, N times per multi-tool turn.
SessionDB gains queue_token_counts(): same signature and semantics as
update_token_counts(), but the critical path is a deque append plus a
condvar notify. A lazily started daemon thread applies deltas in
enqueue order through the existing update_token_counts ->
_execute_write path, so the established self._lock / BEGIN IMMEDIATE /
jitter-retry discipline is unchanged. When a backlog forms, adjacent
same-route incremental deltas coalesce into one UPDATE: token and
api-call fields sum, cost fields sum None-preservingly (an all-None
run stays None so COALESCE keeps the stored value), and absolute=True
deltas never merge and act as ordering barriers. Route equality is
required for a merge because those fields feed COALESCE backfill, the
last-non-None-wins status fields, and the per-model usage attribution
key — a merged apply is row-equivalent to sequential applies.
Correctness and durability:
- flush_token_counts() gives read-your-writes to token/cost readers
(get_session, list_sessions_rich, _get_session_rich_row,
list_gateway_sessions, InsightsEngine.generate) — a plain attribute
check when nothing is queued. The writer sets its busy flag before
popping the queue so the lock-free fast path can never miss an
in-flight batch.
- update_session_model / update_session_billing_route /
update_session_meta write the sessions row synchronously, bypassing
the queue, so they flush it first: a still-queued first-of-session
delta carries the pre-switch route, and applying it after the switch
UPDATE would trip the first_accounted_route branch (api_call_count
== 0 plus a route mismatch) and resurrect the old model/provider.
- AIAgent._persist_session flushes at turn finalize and every
error-exit persist point; close() stops and drains the writer before
the WAL checkpoint; an atexit hook (registered on first enqueue,
unregistered on close so closed instances are not pinned until
interpreter exit) drains at shutdown. Worst-case crash loss is the
in-flight call's delta — the same window as the old inline write.
- A flush trusts a live stop-flagged writer (its loop drains before
exiting) and only drains on the caller's thread when the writer is
dead or never started, claiming the same busy flag so concurrent
flushes wait instead of racing an in-flight batch.
- After close() has stopped the writer, queue_token_counts applies the
delta inline instead of parking it on a queue nothing will drain; a
closed-connection failure then raises at the call site, which
already guards for it, exactly like the old synchronous path.
- Writer apply failures are logged and never raise into a turn; the
writer thread survives and keeps applying.
Call sites switched to the queue: the per-call site in
agent/conversation_loop.py and both codex app-server sites in
agent/codex_runtime.py. In-memory per-turn counters
(agent.session_estimated_cost_usd etc.) stay synchronous, so live turn
displays never see the queue.
Tests: tests/agent/test_async_token_accounting.py (19 tests: enqueue
ordering, absolute-as-barrier, backlog coalescing with exact sums,
coalesced-vs-sequential row equivalence, merge unit rules, None-cost
preservation, read-your-writes, flush vs stop-flagged/concurrent
drains, inline apply after writer stop, close/atexit durability,
_persist_session drain, writer failure isolation);
tests/run_agent/test_token_persistence_non_cli.py updated to the
queue_token_counts contract.
With HTTP(S)_PROXY (and similar mounted transports), live connections sit
on client._mounts rather than the default _transport. force_close_tcp_sockets
only walked the default pool, so stranger-thread interrupt abort logged
tcp_force_closed=0 and left the request alive for minutes (#72975). Also
walk nested proxy _connection wrappers and WARNING when an abort finds no
sockets.
The auto-continue recovery note was typed only after run_conversation
returned, so its row sat untyped for the whole turn — and permanently
when the continuation was itself killed, which is the case it exists
for. persist_user_display_kind stamps the type on the live message
before the crash persist writes it, in the same insert as the content.
The flush also carries display_metadata through, which it was dropping.
Direct tool HTTP calls already identified as Hermes-Agent, but the main
OpenAI-SDK chat path still sent OpenAI/Python. Set Hermes-Agent/<ver> for
api.x.ai clients (xai + xai-oauth) so normal text traffic is attributed correctly.
A /steer redirect during a thinking phase serialized the streamed
reasoning into the persisted assistant checkpoint ('Reasoning shown
before the interruption: ...'). An assistant turn exposing its own
chain-of-thought reads to Anthropic's output classifier as
reasoning-injection/prefill jailbreak, so every subsequent call on the
session deterministically returned 'Provider returned an empty
response' — and because the checkpoint is persisted and replayed, no
retry, nudge, or empty-recovery branch could ever escape it. Four
sessions were permanently bricked this way in the week of Jul 21-27
(42+ blocked calls; every reasoning-free checkpoint that week was
untouched — same mechanism as the prefill.json incident).
Class fix: streamed reasoning is now display-only state. The
_current_streamed_reasoning_text accumulator is removed entirely
(producer in _fire_reasoning_delta, resets, and init), so no future
path can serialize CoT into replayable content. The checkpoint keeps
only the visible response text; the model regenerates its reasoning on
the retried turn. Invariant documented in _apply_active_turn_redirect.
Regression tests: CoT never appears in either checkpoint shape,
reasoning-only interrupts produce a bare checkpoint, reasoning deltas
stay display-only.
compress_context now runs on a daemon pool worker thread (via
run_compress_context_with_progress_timeout). The session id rotation
updates hermes_logging._session_context (a threading.local) on the
WORKER thread, not the caller thread. After the wrapper returns,
propagate self.session_id back to the caller's logging context so
subsequent log lines carry the rotated id (#34089).
Fixes CI failure in test_compression_logging_session_context.
Three code-reuse fixes applied during salvage:
1. Reuse _relative_time from hermes_cli/main.py instead of duplicating
the relative-time formatting logic in hermes_cli/status.py.
2. Extract _stamp_hygiene_compression_provenance helper in gateway/run.py
to deduplicate the two nearly-identical try/except blocks that stamp
compression timeout/abort provenance in the hygiene path.
3. Add ContextCompressor.record_timeout_failure() method and use it from
the in-agent compress_context timeout callback instead of re-implementing
the (60, 300, 900) cooldown ladder inline. The existing summary-LLM
exception handler already has this ladder — now both paths share one
method.
Three mechanisms to detect and notify when gateway sessions stall silently:
1. Mid-turn activity heartbeats stamped to SessionDB so hermes sessions list
and hermes status show progress during long turns without new message rows.
2. Stall watchdog: when a busy session has pending inbound and the shared
activity clock is idle past agent.session_stall_timeout (default 300),
log a WARNING and notify the user once to try /new. Notify-only; does
not kill the turn.
3. Compaction timeout: fenceless compress_context callers get a progress-aware
host budget (compression.context_timeout_seconds default 120 idle,
compression.context_total_ceiling_seconds default 600 ceiling). On timeout,
cancel via commit fence, skip compaction without dropping messages, and
continue the turn.
Closes#72016 (slices 1-3; slice 4 cumulative SSE stream-retry deadline
remains a follow-up).
Cherry-picked from PR #72424 by @fangliquanflq.
- codex app-server sibling path: surface a WARNING (was silent debug) when
the projected-message flush fails — same bug class as the main fix, but
codex output has already streamed so fail-closed and agent_persisted=False
are both wrong here (#860/#42039 duplicate-write hazard); loud durability
gap logging instead.
- map session_persistence_failed in _format_turn_completion_explanation so
the user sees an actionable reason instead of 'The request failed:
unknown error' + explainer test.
- contributors/emails mapping for elco@thedaoist.gg (attribution CI).
Port from openclaw/openclaw#110518 / #110956: some models reuse one call id
for different tool calls in a single batch (native Kimi Responses replays,
Ollama-compatible endpoints, degraded models at long context). Hermes kept
both calls but the pre-API sanitizer then dropped the later call/result pair
per id (#58327), so the second call's output silently vanished from every
replayed payload — the model never saw it and confabulated.
_uniquify_tool_call_ids renames later collisions to a deterministic <id>_d<n>
suffix at ingestion, before validation/dispatch/history build, so both pairs
survive. Composite Responses ids collide on the call half and keep their
response-item half. Deterministic suffixes preserve prompt-cache prefix
stability (no random UUIDs).
Port from Kilo-Org/kilocode#12162.
Google began rejecting unrestricted legacy 'Standard' Google Cloud API keys
on the Gemini API on June 19, 2026 (all Standard keys stop working in
September 2026). The rejection is a 401 whose message misleadingly tells the
user to supply an OAuth 2 access token. gemini_http_error() now appends
actionable guidance (check key type in AI Studio, mint a new Gemini API key,
temporary restriction bridge) on that narrow shape — matched via
google.rpc.ErrorInfo reason ACCESS_TOKEN_TYPE_UNSUPPORTED or the
'Expected OAuth 2 access token' signature. Plain invalid keys
(API_KEY_INVALID) keep their existing message.
Also fixes a latent sibling gap: _summarize_api_error() preferred re-extracting
the raw response body for errors carrying .response, which stripped adapter-
composed guidance (this one AND the existing free-tier 429 guidance) from the
user-facing summary. GeminiAPIError now surfaces its composed message.
`_apply_persist_user_message_override` replaces the anchored user message's
content with the clean transcript text. Its DB-write twin refuses to do that
for a compaction-merged row, and says why:
# Preflight compaction can re-anchor the override index at a message
# whose content was MERGED with the compaction summary
# (merge-summary-into-tail). Overwriting that with the clean gateway text
# would silently drop the summary from the durable transcript.
... and not msg.get(COMPRESSED_SUMMARY_METADATA_KEY)
The live mutation has no such guard, and `finalize_turn` runs it FIRST -- it
calls `_apply_persist_user_message_override(messages)` and only then
`_persist_session(...)`. So the row is already clobbered by the time the
DB-side guard looks at it, and the clobbered list is also what is returned as
the continuation history the next turn is built from.
The anchor lands on the merged row by design, not by accident:
`reanchor_current_turn_user_idx` prefers the last user row whose content
matches this turn's text and "fall[s] back to the last user message when no
exact match survives (merge-summary-into-tail rewrites the content ...)" --
after a merge the exact match cannot survive, so the fallback selects exactly
the merged row.
Effect: on the turn a compaction fires, the `[MERGED PRIOR CONTEXT]` summary --
the entire pre-compaction conversation -- is deleted from the history the
session continues from. It is silent, there is no error, and the archived
pre-compaction turns are already rotated away. The durable child row still has
the summary, so the live session and a later `/resume` now replay different
bytes for the same row.
Add the same guard to the live path. The paired timestamp override is
unrelated and still applies.
Both halves of this invariant are now covered:
`TestFlushCompressedSummaryOverrideGuard` already asserted it for the DB write;
the two new tests assert it for the in-memory path, plus a negative control
that an ordinary turn is still cleaned in place.
The default max_iterations/agent.max_turns budget was set when long
agentic runs were rare; complex tasks now routinely exceed 90 tool
calls. Raise the default to 500 across every surface that hardcodes
the fallback: AIAgent constructor, DEFAULT_CONFIG, CLI resolution
chain, gateway env bridge, cron scheduler, and TUI gateway. Explicit
user config values are unaffected (deep-merge preserves them; no
_config_version bump needed).
Docs (en + zh-Hans), CLI help text, tips, and pinned tests updated
to match.
The Nous Portal profile publishes a top-level `session_id` that the Portal
uses as its sticky routing key, pinning a conversation to one upstream
endpoint so explicit Anthropic `cache_control` breakpoints stay warm
(those caches are instance-local, so a reroute cold-writes instead of reads).
`NousProfile.build_extra_body` sourced that key only from the explicit
`session_id` argument. Auxiliary call sites — compression, title generation,
vision, web_extract, session_search, MoA slots — funnel through
`agent.auxiliary_client`, which has no session handle and never passes one.
They carried the `conversation=` tag but NO sticky key at all, so each one
routed independently of the conversation it belonged to.
Resolve the key the way `nous_portal_tags` already resolves that tag:
ambient lineage-ROOT contextvar first, explicit argument as fallback. Fixes
every aux call site at once with no per-call-site plumbing.
Also publish the root in the `_compress_context` forwarder when nothing is
ambient. Out-of-turn entry points (`/compact`, the gateway `/compress`
command and its hygiene sweep, partial head compression) call it outside
`run_conversation`'s scope, so the summarizer's aux call ran untagged and
unkeyed; the caller's value is restored in `finally` so a compaction never
leaks its tag.
Scope note: this does NOT keep the compaction turn's own prompt cache warm.
Compaction replaces the history with a summary and rebuilds the system
prompt, so that request is a cold write on any endpoint — what a stable key
buys is the turns AFTER compaction reading the cache it wrote. Under the
default `compression.in_place: true` (#38763) the session id does not rotate
at compaction, so for the main loop the ambient root and the explicit
argument already agree; the ambient resolution additionally holds the key
stable for installs that opt back into rotating compaction and across
delegate-subagent trees.
Salvaged from #71747. Subsumes the aux-call half of #70883 (@webtecnica),
which threaded `session_id` through `call_llm` to close the same gap.
Tests: 4 cases in tests/agent/test_portal_tags.py; both fix halves verified
to fail against the pre-fix behavior via sabotage runs.
Widen the #70773 fix beyond the three in-request cleanup sites removed in
the cherry-picked commit: every remaining path that swaps out the shared
OpenAI client could still hard-close its pool from a thread that doesn't
own the in-flight sockets (credential rotation/refresh on the turn thread,
dead-connection cleanup, gateway cache eviction, transport recovery) —
the same FD-recycle corruption vector, just rarer.
Add AIAgent._retire_shared_openai_client(): shutdown(SHUT_RDWR) all pooled
sockets (FD-safe from any thread, unblocks in-flight readers) but never
call client.close() — FD release is deferred to GC, which cannot run until
every borrowing thread has unwound its SSL BIO. Refcounting is the
ownership handshake; with no borrowers the FDs are released immediately.
Wired into:
- _replace_primary_openai_client (rotation/refresh/dead-conn cleanup)
- try_recover_primary_transport (primary_recovery)
- release_clients (gateway cache_evict)
agent.close() keeps the hard close: full teardown is a real session
boundary where no request may be in flight.
Tests: new tests/run_agent/test_70773_shared_client_fd_corruption.py
covers the three watchdog/retry sites plus retire semantics; existing
close-assertions updated to pin retire-not-close.
Review follow-up for the dropped tool-call recovery (#69630): the
re-prompt pair was tagged _dropped_toolcall_nudge, but that marker was
not part of the ephemeral-scaffolding contract. _persist_session /
_flush_messages_to_session_db would therefore write the synthetic
'issue the actual tool call now' user message (and the narration-only
interim assistant turn) as real transcript rows — a resumed session
could replay the internal retry instruction as user-authored context
and prompt unsolicited tool use.
- Add _dropped_toolcall_nudge to _EPHEMERAL_SCAFFOLDING_FLAGS
(run_agent.py) so both SQLite and JSON persistence skip the pair.
- Add it to _SYNTHETIC_USER_FLAGS (conversation_compression.py) so the
compressor never treats the nudge as human intent.
- Flag the interim assistant half of the pair too, and include the
marker in the finalization scaffolding pop so a genuine turn end
strips the pair from the live transcript (mirrors the
_empty_recovery_synthetic pattern).
- Regression tests: flagged messages classify as ephemeral, the
returned transcript contains no scaffolding, and the turn tail stays
on the real assistant answer.
Track the selected credential by stable pool entry ID so token refreshes and shared cursor movement cannot detach failures from the entry that issued them. Stop unmatched single-entry pools from reporting a no-op rotation as successful recovery.
Co-authored-by: Maxim Esipov <maksesipov@gmail.com>
* fix(desktop): hide persisted agent-only history scaffolding
Filter verification-stop nudges and context-compaction handoffs at the
stored-history mapper boundary. Preserve a real reply when a compaction
handoff shares its stored message.
* test(desktop): build persisted E2E sessions through the real agent
Drive tui_gateway.entry over its stdio JSON-RPC transport against the mock
provider, wait for real completion events, and persist normal session history
through AIAgent and SessionDB. Migrate resume and hidden-history coverage,
including real compression and live verify-on-stop scaffolding, then remove
the unused direct SessionDB import scripts.
* fix(desktop): use the provisioned Python for real-session E2Es
Run the stdio gateway through uv's synced project environment outside the
Nix dev shell, while retaining the fully provisioned Nix Python when the
shell advertises HERMES_PYTHON_SRC_ROOT.
* fix(nix): expose the provisioned Python environment to uv
Mark the Nix-built Python environment active in the dev shell so the shared
E2E session builder can always run through `uv run --active --no-sync`.
* fix(timeline): persist typed display events
* fix(timeline): strip display-only fields from provider payloads, preserve through rewrites, fix /resume display history
Three review findings from PR #69771:
1. Provider payload leak: display_kind and display_metadata were forwarded
to the provider API as unknown message fields. Strict OpenAI-compatible
backends can reject the next request after a model switch or resumed
typed event. Strip both from the per-request api_msg copy in
conversation_loop alongside the existing api_content pop.
2. Rewrite/import data loss: _insert_message_rows preserved display_kind
but silently dropped display_metadata. After replace_messages,
archive_and_compact, or session import, async-delegation completion
events lost their task counts and fell back to generic display text.
Add display_metadata to the INSERT columns and bind tuple.
3. CLI /resume stale recap: startup --resume A set _resume_display_history
from A's lineage. A subsequent in-session /resume B loaded B only into
conversation_history via get_messages_as_conversation, leaving the stale
A display projection. _display_resumed_history preferentially read the
stale attribute, showing A's recap for B. Switch /resume to
get_resume_conversations and update _resume_display_history alongside
conversation_history.
Tests: 890 Python (5 files), 35 desktop TS — all green.
* feat(tui): render typed display events as ◈ markers in the Ink TUI
The TUI was not handling display_kind at all — model switch markers and
async delegation completions rendered as opaque user messages with the
full [System: ...] text, and hidden compaction handoffs were visible.
Wire display_kind through the full TUI chain:
- _history_to_messages (tui_gateway/server.py) forwards display_kind
and display_metadata to the gateway transcript payload.
- GatewayTranscriptMessage (gatewayTypes.ts) gains both fields.
- Msg.kind (types.ts) gains 'event' value.
- toTranscriptMessages (domain/messages.ts) maps:
- hidden → skip entirely
- model_switch → event "model changed"
- async_delegation_complete → event "N background agents finished"
(or "background agent work finished" without metadata)
- messageGroup (blockLayout.ts) routes event to its own group, with
SELF_SPACED + PAINTS_TRAILING_GAP so it owns its margins.
- messageLine.tsx renders event-kind as a dim ◈ marker with no gutter,
matching the CLI's ◈ event rendering.
- 4 new TUI tests for hidden/model_switch/async_delegation mapping.
TUI typecheck: clean. TUI lint: 0 errors (2 pre-existing warnings).
TUI tests: 9 passed (1 pre-existing failure on main, unrelated).
Follow-up fixes for the #62625 salvage:
- Dedup-reset gap (sweeper review): when the block clears while the
context is STILL over threshold, execution enters the compression
branch — the PR's 'else' reset never ran, so the warning stayed
suppressed forever after the first block. _clear_context_overflow_warn()
now fires on every automatic compression path: turn-context preflight,
conversation_loop pre-API gate, and the post-tool loop-compaction gate.
- should_compress_info on current main: main refactored should_compress
into _automatic_compression_blocked()/_locally(); the tuple variant now
derives its reason from the same in-memory state via
_compression_block_reason(), keeping cooldown:<s>/ineffective shapes.
- ContextEngine.should_compress_info ABC default now actually returns
(should_compress(tokens), None) — the PR's default had a docstring but
no return (returned None, would crash tuple-unpacking call sites).
- Below-threshold guard: the turn-context persisted-cooldown branch and
the conversation_loop pre-API cooldown branch no longer warn when the
estimate is under threshold (should_compress_info returns a None
reason; the preflight pre-check is not a threshold guarantee). The
pre-API guard also honors compression.max_attempts instead of a
hardcoded 3, and no longer fabricates a cooldown reason.
- Noise-filter survival (#69550 composition): warning text is now a
template constant (CONTEXT_OVERFLOW_BLOCKED_WARNING_TEMPLATE) marked
FAILURE-CLASS, pinned un-swallowed in VISIBLE_COMPRESSION_MESSAGES and
in new tests that execute the real _TELEGRAM_NOISY_STATUS_RE +
_prepare_gateway_status_message.
- Contributor mapping for stanislav@local -> sl4m3.
- ContextEngine.should_compress_info() default impl so plugin engines
(e.g. _StubEngine) don't raise AttributeError at the call site.
- Centralise warning/reset in AIAgent._warn_context_overflow_blocked /
_clear_context_overflow_warn so turn-context and conversation-loop guards
share identical dedup logic and reset on the real compression boundary.
- Cover conversation_loop.py pre-API (~L1007) and loop-compaction (~L4774)
guards, not just the turn-context preflight.
- _FakeAgent mirrors the two helpers; test suite green (219 passed).
Fixes#62708
A follow-up sent while the model is still generating previously ended the
turn: Hermes kept only the visible partial text (reasoning was display-only),
cleared the loop, and replayed the message as a fresh next turn. If the
correction referred to something that only appeared in the thinking stream,
the model no longer had that context.
Add `AIAgent.redirect(text)`: a corrective interrupt distinct from a hard
stop. It cancels only the in-flight model request (not tool workers or child
agents), stashes the correction under a lock shared with `interrupt()` so a
concurrent `/stop` always wins, and lets the loop rebuild the same logical
iteration. `_apply_active_turn_redirect()` checkpoints the reasoning that was
actually shown to the user plus any visible partial text as an ordinary
assistant message, then appends the correction as a real user turn — never
replaying incomplete signed/encrypted provider reasoning, and keeping strict
role alternation and prompt-cache stability intact. During tool execution it
degrades to `steer()` so a running tool finishes at a safe boundary.
`_fire_reasoning_delta` now only records reasoning that a display callback
actually consumed, so `show_reasoning: false` never leaks hidden provider
thinking into the persisted transcript.
Salvage follow-up for PR #68899:
- Restore .rstrip('/') on base_url in _swap_credential (both anthropic
and OpenAI paths) to match every other assignment site. The route
identity comparison still uses normalize_route_base_url which handles
trailing slash correctly.
- Extract should_clear_context_pin() into hermes_cli/route_identity.py,
consolidating 7 copy-pasted call sites across cli.py, gateway/run.py,
gateway/slash_commands.py, and hermes_cli/model_switch.py into a
single fail-closed helper.
C1 (anthropic path TLS re-application): pre-existing gap — the Anthropic
adapter (build_anthropic_client) has no TLS customization support at
all, so this is out of scope for this salvage.
Fix#68178
The git-install auto-updater rewrites source while the desktop backend
is live. Because agent/conversation_loop.py is imported lazily on the
first API call, a process can end up running two different commits
spliced together — one commit's AIAgent against another commit's
conversation_loop. When the interface differs, every turn fails
permanently with an AttributeError, and the loop retries indefinitely,
burning provider API calls (576 failures, 149 wasted API calls observed).
Three-prong fix:
1. Circuit-break AttributeError on agent objects: the outer-loop error
classifier now detects AttributeError targeting agent/run_agent
modules and breaks immediately instead of continuing the retry loop.
2. Code skew detection for desktop/serve backend: run_agent.py now
snapshots the checkout revision at import time and exposes a cheap
per-iteration check that the conversation loop uses to refuse new
work with a clear 'restart required' message before the lazy import
can crash.
3. Informative error message: when code skew is detected, the user
gets a clear explanation of the mismatch (boot revision vs current
revision) and actionable guidance to restart the application.
