Drop the manual web.search_backend / web.backend config-reading block
that duplicated _read_config_key in web_search_registry.py. The function
now delegates directly to get_active_search_provider() (which reads the
same config keys via the registry's canonical resolver) and falls back
to _get_search_backend() only when the registry has no providers loaded.
Also updates the TestXaiWebSearchBackendPreference tests to monkeypatch
the registry instead of load_config_readonly, and adds two new tests for
the legacy fallback path (no provider registered -> _get_search_backend).
When Grok runs on xAI Responses, only swap to native server-side
web_search when the active/configured backend is xai. For Firecrawl
and other Hermes providers, keep client dispatch under a renamed wire
tool so Grok cannot hijack web_search and ignore user config.
#71775 moved deferred single-use-token refreshes outside the pool lock
(correct — they hold a cross-process flock plus network I/O). But
_refresh_entry_impl's three terminal-auth-failure quarantine paths do a
bare read-modify-write of self._entries. Those used to run with the
caller holding self._lock; on the deferred path they run unlocked, so a
concurrent mutation between the read and the write is silently lost.
Wrap all three in 'with self._lock' (an RLock, so locked callers
re-enter safely) and correct the _refresh_pending_entries docstring,
which claimed the mutations were already self-locking.
Post-merge gate-sweep finding on the #71775 salvage (#77714).
Sibling to the acquire_lease re-select fix.
select() re-selects once deferred single-use-token refreshes complete;
acquire_lease() performed the refresh but returned its pre-refresh
answer. Since _acquire_lease_under_lock returns early exactly when a
refresh is pending (if not available: return None, pending_refresh),
a pool whose entries all needed a refresh always returned None — the
caller failed an answerable request right after the refresh succeeded.
Retry once, only when the first pass was empty and a refresh ran.
Post-merge gate-sweep finding on the #71775 salvage (#77714).
The output-cap error handler already computes request_input_estimate at
line 4722 via estimate_request_tokens_rough(api_messages, tools=...).
The new compression block ~50 lines below was calling the same function
with the same inputs again. Reuse the existing local.
The output-cap retry loop reduced max_tokens by 64 tokens per attempt but
never called _compress_context(), so the compressor never fired. Input
growth (~65 tokens/attempt) canceled the savings, leaving the session
stuck at 200,001 tokens — 1 over the 200,000 ceiling.
The fix adds compression to the output-cap retry path. The compressor
drops the middle window, freeing ~50% of tokens. If compression makes
>=5% savings, the session continues; otherwise vision payloads are
stripped or the session ends with compression_exhausted=True.
Also adds CHANGELOG.md entry and bug fix report.
The bracketed-marker regex was inlined in conversation_loop.py as
re.fullmatch(r"\[...", ...) while hermes_state.py defines the same
pattern as _STALE_TOOL_CALL_MARKER_RE. Both must agree on what counts
as a stale marker — a drift here means the runtime guard silently
disagrees with the load-on-read repair and CLI purge in hermes_state.
Consolidate onto a single compiled constant (_STALE_MARKER_RE) at
module level in conversation_loop.py, with a comment noting it must
mirror _STALE_TOOL_CALL_MARKER_RE in hermes_state.py. A direct import
from hermes_state was tried first but caused a regression: hermes_state
initializes DEFAULT_DB_PATH = get_hermes_home() / 'state.db' at module
import time, which breaks tests that monkeypatch get_hermes_home() to
return a str (test_slash_worker_accepts_profile_home).
Follow-up to PR #78175 (@JoaoMarcos44).
Local tool-call templates can emit a bare bracketed token (e.g. "[memory]")
as assistant content alongside a function call. The loop treated that
protocol scaffolding as visible content: it got cached as the post-tool
fallback, and when the next turn came back empty, the marker was replayed
as the final response and written into the persisted transcript. Later
context compaction preserved that history, letting the model repeat the
marker in subsequent turns.
Detect content that is only a bracketed marker (`[name]`) when the
response also carries tool_calls, and drop it before it can be cached
or persisted. Scoped narrowly: only fires alongside tool_calls, so a
genuine final response of "[memory]" without a tool call is unaffected.
Empty model.base_url plus a runtime custom-provider URL was treated as a
route mismatch, so gateway session-reset banners dropped model.context_length
and fell back to the Qwen family default (131K) while /status still showed
the configured 262K pin.
Qwen3.8 Max is live on both OpenRouter and the Nous portal
(qwen/qwen3.8-max, 1M context, 131K max output). Per the
newest-max-replaces-last-max convention, it takes qwen3.7-max's slot
in both curated lists.
- hermes_cli/models.py: OPENROUTER_MODELS + _PROVIDER_MODELS[nous]
swap qwen/qwen3.7-max -> qwen/qwen3.8-max
- agent/model_metadata.py: DEFAULT_CONTEXT_LENGTHS entry for
qwen3.8-max at 1,000,000 (verified against OpenRouter live
metadata and Nous /v1/models 2026-08-03)
- tests/test_empty_model_fallback.py: swap incidental catalog fixture
to the surviving slug
- website/static/api/model-catalog.json: regenerated
Pricing snapshot skipped: both routes bill via official_models_api
(live pricing), verified with resolve_billing_route. Reasoning
timeout floor already covered by the qwen3 prefix (180s).
Cherry-picked from PR #58560 by @itsflownium, adapted to current main
(_getenv instead of os.getenv). Moves ANTHROPIC_API_KEY check ahead of
Claude Code credential file and credential_pool auto-discovery so an
explicitly configured key is never shadowed by auto-discovered OAuth.
Fixes#58546
Simplify-pass finding: the safety note still cited 'skills edited' as a stable-tier input whose change mismatches the rebuilt prefix — after this PR a skill edit changes only the volatile tail (that's the point). Swap the example for genuinely stable-tier inputs.
The skills index is runtime-mutable: the agent adds and patches skills mid-session, so it is not byte-stable. Keeping it in the stable band breaks that band prefix-cache contract, because every skill edit changes the stable band and invalidates the entire cached prefix in front of it. Move it to the front of the volatile band so the stable scaffold (identity, tool guidance, model guidance) stays cacheable across skill edits.
The PR's concurrency wrapper splits call_llm into a semaphore-guarded
entry + _call_llm_impl; main added extra_headers to call_llm's
signature after the PR's base, so the split has to forward it too
(dropped silently otherwise — Azure Foundry and custom-endpoint
callers set it).
A successful compaction frees the largest allocation a long session ever
drops (the compressed-away message dicts), but Python's arena allocator
keeps those pages in the heap — RSS retains the pre-compaction
high-water mark until exit. #76905's trim_memory lifecycle covers the
gateway/TUI housekeeping loops but not the CLI compression path.
Call trim_memory(reason='post-compression') at the compression-success
point in ContextCompressor.compress(), following the house pattern
(lazy import in try, debug-level log on failure). The helper is
glibc-gated, config-gated and rate-limited, so it is a safe no-op on
other platforms and cannot fail compression.
Re-expresses the intent of #70782 (JonthanaHanh), which reached for a
bare gc.collect(); trim_memory is the house mechanism and already
wraps a collect.
Review follow-up on the #30223 salvage: the original changed the base
cooldown from 60s to 1800s, benching the primary for 30 minutes on the
FIRST 429 (30x regression in primary-restore latency) and breaking the
existing test_rate_limit_exhaustion_keeps_60s_cooldown contract.
Keep upstream's 60s base and escalate per consecutive rate-limit:
60s -> 2m -> 4m -> 8m -> ... capped at 4h. Counter still resets on
successful primary restore (cicae's mechanism, unchanged).
New tests: escalation doubling, 14400s cap, reset-on-restore.
Existing 60s contract test passes UNCHANGED. Mutation-checked:
escalation disabled -> 2 fail; reset disabled -> 1 fails.
Replace the fixed 60-second cooldown with exponential backoff:
30min → 1h → 2h → 4h cap.
The counter is reset by restore_primary_runtime on successful
primary-provider recovery, so the backoff is strictly for
consecutive failures within a single degradation window.
Closes#29702
Salvage of #71282 (Fixes#71281): a routable-but-dead endpoint (corp
LAN address while off-VPN) blackholes TCP SYNs, so every probe in the
model-metadata waterfall waits out its full connect timeout — 20+
seconds of stall per startup across detect_local_server_type,
fetch_endpoint_model_metadata, and the per-model probes.
A module-level blackhole cache keyed on host:port is populated when
any probe observes a ConnectTimeout (httpx or requests; read timeouts
deliberately excluded — an accepted connection is not a blackhole) and
consulted at the top of each guarded function. 30s TTL: long enough to
collapse one startup burst, short enough that VPN recovery is picked
up without a restart. Guard ordering: blackhole check -> disk L2 ->
HTTP waterfall, and a blackholed leg aborts the remaining legs instead
of letting each stall in turn.
Squash of the PR's two real commits (the branch's merge commits made
it un-rebase-merge-able; content verified identical via merge-tree).
CI slice 3/7 failures: run_conversation tests pass MagicMock base_urls
through the metadata probe path; re.sub raised TypeError where the old
code let non-strings flow through. Preserve that contract.
fetch_endpoint_model_metadata's generic (non-LM-Studio) /models fetch and
its llama.cpp /v1/props context-length follow-up built request URLs
straight from the unrewritten candidate, unlike every other local-probe
site. Both retained the multi-second dual-stack IPv6 connect penalty
that _localhost_to_ipv4() exists to skip (measured on macOS: localhost
32.9ms vs 127.0.0.1 0.1ms on a dead port; ~2s on Windows). normalized
stays the cache key so caching behavior is unchanged; only the outbound
request target is rewritten.
Re-derived from PR #61528 onto current main (original no longer applied
cleanly).
SubdirectoryHintTracker re-injected identical context files whenever the same
AGENTS.md was reachable through more than one path. Symlinked shared
workspaces, hardlinks, and timestamped backup copies all alias a single file,
so a normal session could ship the same 8KB of instructions two or three
times. Nothing deduped it and nothing excluded directories that only ever
hold copies.
Two changes:
* Track a sha256 of every injected hint body. Repeat content is skipped, and
the working directory's own context file is seeded at construction so the
copy prompt_builder already loaded at startup is never sent again.
* Skip directories that hold copies rather than authoritative context
(backups, node_modules, venv, site-packages, .git, .Trash, vendor, caches).
Screening is relative to working_dir, so a project that legitimately lives
under vendor/ keeps discovering its own subdirectory hints.
Measured on a real session that touched a symlinked shared workspace:
3 injections / ~24,000 chars before, 1 injection / 8,112 chars after.
14 new tests cover symlink aliasing, byte-identical copies, working-dir
seeding, distinct content still being injected, each excluded directory name,
excluded ancestors, and the working-dir-inside-excluded-name case.
Cross-PR interaction fix: #77714 (salvage of #71775) changed
_available_entries to return (available, pending_refresh) while #77631
(salvage of #67642) added next_available_at() which still truthiness-
tests the bare return. A non-empty tuple is always truthy — even
([], []) — so the reset-aware gate silently returned None ('no wait
info') for every exhausted pool, disabling the feature #77631 shipped.
Unpack the tuple and test the available list.
Also adapts the lock-probe test for the RLock introduced by #77714
(same-thread non-blocking acquire always succeeds on an RLock; probe
from a helper thread instead).
Review folds on the #71775 salvage (dossier findings 1+2):
- self._lock becomes an RLock and the mutation primitives
(_replace_entry, _persist) are now self-locking, so the deferred
single-use-token refresh path — which deliberately runs its
cross-process flock + OAuth network I/O OUTSIDE the pool lock —
still serializes its pool mutations against concurrent
select()/rotation. In-lock callers re-acquire reentrantly.
- Dropped _refresh_pending_entries' redundant second _replace_entry:
_refresh_entry already merges the refreshed entry internally.
Adds tests/agent/test_credential_pool_deferred_refresh.py pinning both
invariants: select() must NOT hold the lock during the refresh window
(the PR's whole point), and the post-refresh mutations MUST contend on
the lock (blocking-thread probe).
select() and acquire_lease() held self._lock during the entire
_available_entries() loop, which for openai-codex and xai-oauth providers
includes a cross-process file lock (_auth_store_lock) plus OAuth token
refresh HTTP POST. The lock timeout can exceed 20 seconds, blocking all
credential pool consumers across every gateway thread and subagent.
Collect single-use-token refresh entries under the lock, then execute the
refreshes outside it. On success the refreshed entry is merged back into
the pool and re-selected. Non-single-use providers (anthropic, nous)
continue refreshing inside the lock since their refresh is a simple HTTP
POST with no cross-process coordination.
Review fold on the #67642 salvage: next_available_at() called
_available_entries() — which prunes DEAD entries, syncs tokens, and
persists — and iterated self._entries with no lock, racing concurrent
select()/rotation exactly as has_available()'s comment warns. Wrap the
method body in self._lock and pin it with a non-blocking-acquire probe
test.
restore_primary_runtime retries the primary every turn once the 60s
transient cooldown clears. For subscription-window limits (Claude
Pro/Max 5h windows, Codex weekly caps) the reset is hours or days away,
so every retry is a guaranteed failure costing two provider switches
and two prompt-cache invalidations per turn.
Add CredentialPool.next_available_at() (earliest reset across exhausted
entries; None when available now or no reset info) and gate the restore
on it: skip while the primary's pool says nobody can serve, restore on
the first turn after the reset elapses. Fail-open: any gate error or
missing reset info falls through to the existing per-turn retry, so
recovery can never be later than today. Cross-provider fallbacks
consult the PRIMARY's pool (not the attached fallback pool), reusing
the loaded pool for the existing rebind to keep auth reads at one per
restore.
The 2-line alias had zero production consumers (web_server calls
get_usage_breakdown directly). Tests rewired onto the real API; the
contracts they pin are unchanged. Stale test docstring fixed.
The curator LLM review loop (_run_llm_review) built its AIAgent without
enabled_toolsets, so it advertised the full default catalog (~30 tools plus the
context_engine lcm_* family) on every call. The fork uses only four tools, fixed
by its own system prompt, with no dispatch path to the rest, so ~26 tool schemas
shipped on every request as dead weight: ~7K input tokens per call on a loop that
makes 50-100 calls per consolidation pass.
Restrict the fork to enabled_toolsets=["skills", "terminal"], the same tools the
prompt already names. Behavior-neutral: the prompt held the model to these tools
and nothing routed calls to the others. Mirrors the background_review fork
(background_review.py:788-794). Call-site only; AIAgent already forwards the kwarg.
Adds test_review_fork_restricts_toolsets_to_skills_and_terminal (captures the
constructor kwarg) and test_review_fork_toolset_surface_is_skills_plus_terminal
(pins the resolved surface).
Rebase fold on the salvaged gate:
- is_trivial_prompt/TRIVIAL_PROMPT_RE move to agent/memory_provider (the
ABC both the core gate and providers already import) — one source of
truth; honcho's _TRIVIAL_PROMPT_RE now aliases it, turn_context and the
queue_prefetch_all warm path (a sibling site main grew after the PR's
base) both use it
- tests: gate tests at the prefetch call site (mutation-checked), shared
classifier tests incl. prefix-collision guards (k8s/yolo/note/supper),
and honcho dialectic-machinery tests re-driven with a substantive prompt
("hello" became trivial by design — those tests exercise thread cadence,
not the classifier)
Salvage of PR #25350 (commits 88ffede2d + 2b848a0b2 + 3136dc63a, squashed
and ported): the run_agent.py prefetch site the PR gated has since moved
into agent/turn_context.py's build_turn_context(), so the trivial-query
gate lands there instead.
- Gate the per-turn memory_manager.prefetch_all() on a trivial-prompt
check so greetings/acknowledgements ('hi!', 'thanks', 'ok') no longer
block the turn on provider network round-trips or inject stale context.
- Extend honcho's _TRIVIAL_PROMPT_RE with greetings and a trailing
punctuation class so 'hey!' / 'hello.' classify as trivial.
- Add honcho classifier tests for greeting forms.
Simplify-pass fold: the four copy-pasted .replace blocks meant a\nfifth pinned statement could forget its strip line — a hard 'no such\nindex' crash on read-only DBs, the exact bug the fallback prevents.\nLoop over the attribute names instead.
The INDEXED BY pin is a hard dependency -- SQLite raises 'no such
index' when the named index is missing. That happens in production:
the web dashboard's usage analytics (_get_usage_analytics,
_get_models_analytics) open state.db read_only=True, which skips
_init_schema, so a DB last written by a pre-index version has no
idx_messages_assistant_calls_by_session and every insights call
crashes with OperationalError (reproduced E2E).
Probe sqlite_master once in __init__ and strip the pin from the four
prepared statements when absent -- identical rows, optimizer-chosen
plan, no crash. Replaces the change-detector test that froze the
crash as intended behavior with a fallback-equivalence test.
Review follow-up (#67341): on a freshly initialized state.db (before
ANALYZE has run) the source-filtered branches of _get_tool_usage /
_get_skill_usage did not select idx_messages_assistant_calls_by_session
— the optimizer drove from idx_sessions_source_id and probed each
session's messages via idx_messages_session_active, scanning non
tool-call rows. Pin the index with INDEXED BY on all four fixed-predicate
branches so the plan is deterministic for both the unfiltered and
source-filtered scopes without depending on statistics.
Safe because the index is declared in SCHEMA_SQL (created by every
read-write SessionDB._init_schema) and every InsightsEngine caller opens
a read-write SessionDB; read-only attachments (which skip schema init)
are never used for insights.
Extract the four queries into class constants and add tests: query-plan
coverage for both scopes without ANALYZE, row-level equivalence between
pinned and un-pinned forms, and an assertion that INDEXED BY fails loudly
if the index is absent.
Review follow-up on the #56798 salvage: the gate shipped fully dormant
(no provider profile sets supports_prompt_cache_key, no production
caller passes it, and no plain 'openai' profile exists to set it on) —
AGENTS.md rejects dead code wired in without E2E proof.
Activate the one endpoint where the field is first-class: exact-host
api.openai.com (OpenAI documents prompt_cache_key; GPT-5.6+ docs
recommend it for cache routing). Deliberately NOT substring matching —
Azure/OpenAI-compat endpoints may reject unknown fields and stay
opt-in via the flag. 4 new tests (imply + 3 spoof/proxy/Azure
negatives); mutation-checked (substring-weakened host check fails the
spoof tests).
Empty content retries previously fired back-to-back with no delay,
wasting up to 3 rapid API calls, and could not be cancelled mid-wait.
Apply the same jittered_backoff() already used for rate-limit and
API-error retries, sleeping in small increments so a user interrupt
aborts the wait instead of blocking until it elapses.
Fixes#35230