When a streaming response ends cleanly (HTTP 200) with no finish_reason
after delivering text but no tool calls, the chunk collector silently
stamps finish_reason='stop' and the conversation loop presents truncated
text as a complete response.
Three stream-drop paths now exist after chunk collection:
1. Zero-chunk → EmptyStreamError, retried (existing)
2. Tool-call in progress, no finish_reason → partial-stream-stub (existing)
3. Text-only, no finish_reason → partial-stream-stub (NEW — this fix)
Path 3 routes through the same PARTIAL_STREAM_STUB_ID + FINISH_REASON_LENGTH
machinery as path 2. The conversation loop shows 'Stream interrupted —
requesting continuation' and injects a continue prompt, giving the model
a chance to resume where the stream dropped.
Observed with DeepSeek provider where CloudFront drops SSE streams
mid-response after delivering partial text.
The salvaged retention check compared the built-in memory snapshot
before vs after the disk reload. That holds for a long-lived CLI agent,
but on fresh-agent surfaces (gateway per-turn agents, TUI) the cached
prompt is restored from the session DB and can predate mid-session
memory writes that the fresh MemoryStore already absorbed at init: the
snapshot is then identical on both sides of the reload while the prompt
itself is stale, so compression would retain (and re-persist via
update_system_prompt) a prompt missing the new memory for the life of
the session.
Replace the equality check with a containment check
(_cached_prompt_reflects_builtin_memory): retain the cached prompt only
when the freshly-reloaded rendered blocks appear verbatim inside it,
and rebuild when a leftover block header remains for a target whose
entries have since been emptied or disabled. Block headers are shared
via MEMORY_BLOCK_HEADERS in tools/memory_tool.py so the check stays in
lockstep with MemoryStore._render_block.
Adds regression guards for the gateway stale-restore path and the
emptied-memory leftover-block path; verified with a real-MemoryStore
E2E matrix (9 scenarios) against a temp HERMES_HOME.
_is_real_user_message no longer accepts a user-role compaction summary as
the human anchor, so _compress_context restores the original user turn
after the summary; update the lifecycle-status test's expectation.
Direct-Anthropic requests used a single shared _anthropic_client, and the
stale/interrupt watchdog closed + rebuilt it from the poll (stranger) thread
at four sites (non-streaming stale/interrupt, streaming stale/interrupt).
Closing a client whose TLS socket a worker thread was still reading released
the FD from a stranger thread; the kernel recycled it under a live SSL BIO,
which then wrote a 24-byte TLS record into an unrelated SQLite header
(cron/executions.db), bricking every cron on the profile. Same shape as the
OpenAI-only #29507 fix, but the Anthropic path never got the owner-thread
contract.
Extend the #29507 ownership contract to Anthropic: build a per-request client
(_create_request_anthropic_client), register it with the request-client
holder tagged by kind, and route _close_request_client_once by kind — a
stranger thread only shuts the request client's sockets down
(_abort_request_anthropic_client), while the owning worker performs the SDK
close (_close_request_anthropic_client). The shared _anthropic_client is now
never closed from inside a request (streaming or non-streaming), including the
worker retry-cleanup sites, since each attempt builds a fresh request client.
The #28161 no-hang guarantee is preserved: the poll-thread socket abort
unblocks the worker immediately.
Salvages the approach from #51688 (@raymondyan-zhijie), reimplemented onto
current main (non-streaming dispatch was refactored into
_dispatch_nonstreaming_api_request; streaming grew _cancel_current_stream_attempt
and worker retry-cleanup sites). Tests updated to the request-local mechanism
(incl. replacing a banned source-reading test with a behavior test) plus new
regression coverage proving the watchdog aborts the request client and never
touches the shared client.
Co-authored-by: raymondyan-zhijie <32435458+raymondyan-zhijie@users.noreply.github.com>
Second call site (non-streaming / gateway path) now flattens list-type
content with flatten_message_text before the inline <think> regex and the
surrogate sanitizer, matching the interim-text fix from the prior commit.
Adds regression tests (tests/run_agent/test_66267_multimodal_interim.py)
covering:
- build_assistant_message with list content does not raise TypeError
- inline <think> inside list content is extracted + stripped correctly
- _interim_assistant_visible_text is safe for tool messages (list content)
- duplicate_previous_interim dedup guards against tool messages
Verified the tests fail without the fix (TypeError: expected string... got
'list') and pass with it.
_bedrock_reasoning_stale_floor only matched dashed floor-table keys (opus
'claude-opus-4-6'), so sonnet reasoning models keyed with a dotted version in the
shared table ('claude-sonnet-4.5'/'4.6') got no reasoning floor from the dashed
Bedrock inference-profile id — premature stale-abort if the base timeout is set
below 180s. Generate both version-separator forms (digit-dash-digit <-> digit-dot-
digit, via lookbehind/lookahead so only version numbers flip) and try all
candidates; matches the table however each model is keyed, no edit to the shared
table. Verified: opus->240 (unchanged), sonnet-4.5/4.6->180, haiku->None. New
TestBedrockReasoningStaleFloor (8 cases).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Re-applied against v0.18.2. Upstream now covers the OpenAI-path stall watchdog
(cross-turn give-up breaker #58962) and the tool-batch deadline, so those are
dropped. Two gaps remain:
- Bedrock streaming had NO liveness watchdog and was excluded from the #58962
breaker (it returns before _check_stale_giveup). Add an on_event hook to
stream_converse_with_callbacks (fires per yielded event = true wire-level
liveness), drive a stale timer from it, and wire Bedrock INTO the existing
breaker: entry _check_stale_giveup, _bump_stale_streak on stall, raise to end
the call (invalidate_runtime_client can't abort the in-flight botocore stream,
so the streak escalates across turns like the OpenAI path), and reset the
streak on success.
- local providers still got float('inf') stale timeout (watchdog disabled) — give
a finite ceiling (HERMES_LOCAL_STREAM_STALE_TIMEOUT, default 900s).
- tests: on_event per-event + swallow; Bedrock stall bumps streak + aborts;
pre-elevated streak aborts at entry; success resets streak.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
strip_think_blocks() ran re.sub() directly on content that could be a
list of blocks (Anthropic via OpenRouter returns assistant content as
[{type:text,...},{type:thinking,...}]). A list reaching re.sub raised
'TypeError: expected string or bytes-like object, got list', which the
outer conversation loop swallowed and retried forever — the observed
infinite 'preparing terminal...' loop that re-emitted the same
assistant text every iteration.
The live-turn path normalized list content to a string, but
_interim_assistant_visible_text reads a *stored* history message whose
content was persisted as a list and passes it straight into the shared
strip_think_blocks helper. Fix at the shared choke point: coerce
list/dict content to visible text (dropping reasoning blocks, which is
the function's job) before any regex runs, so every caller is safe.
Fold #62349's broader provider-boundary handling into the header fix: bound top-level and xAI override keys again at preflight after middleware, preserve unrelated headers, and cover boundaries and collisions.
Co-authored-by: Nick Taylor <nicktaylor@TheWorldofNick-Lappy.local>
Widen the #65991 single-writer fence to run_codex_stream: each codex
attempt claims the delta sink before consuming events, and the consume
loop's interrupt_check now also stops the instant a newer attempt
supersedes this one. Parity with the chat_completions / anthropic /
bedrock paths from the salvaged fix.
Two regression tests: superseded codex stream is fenced mid-stream;
sole-writer codex stream delivers unchanged.
Assert that a superseded stream (older writer token, other thread) is fenced
from the delta sink, the active writer is never fenced, a non-claiming thread
is never treated as a writer, and the real consume loop stops the instant it is
superseded — so two streams can never interleave into one turn (#65991).
Port from anomalyco/opencode#36130: the Responses spec carries streaming
error details at the top level of the error frame, but the official OpenAI
SDK and several OpenAI-compatible proxies wrap them in an HTTP-style nested
envelope ({"type": "error", "error": {code, message, param}}).
_raise_stream_error only read top-level fields, so nested-envelope frames
collapsed to the generic 'stream emitted error event' placeholder with
code=None — the error classifier never saw the provider's real failure
reason, misrouting rate-limit / context-overflow / entitlement errors into
the generic retry path.
Top-level fields keep precedence; the envelope is a fallback. Null-tolerant
for spec-compliant frames with explicit nulls.
Follow-ups on top of @xxxigm's salvaged bridge (#33294):
- Remove the now-dead narrow item/started-only mapper from #38835
(_codex_note_to_tool_progress) — the full bridge supersedes it and
keeps the same tool-name contract; its tests are repointed at the
bridge helpers.
- Preserve main's request_routing/approval-bypass wiring on the
CodexAppServerSession constructor (landed after the PR was filed).
- Gate agentMessage interim delivery on display.show_commentary so the
app-server runtime honors the same toggle as the codex_responses
commentary channel (tool progress is unaffected).
- Add json import (bridge helpers use json.dumps) and modernize the
wiring test's stub agent for main's usage-accounting attributes.
Commentary delivery is on by default; users who find the extra mid-turn
narration noisy can set display.show_commentary: false to restore the
previous behavior (commentary routed to the reasoning channel, visible
only with show_reasoning).
- hermes_cli/config.py: display.show_commentary default true
- agent/agent_init.py: wire config -> agent.show_commentary
- run_agent.py: gate structured commentary extraction on the flag
- agent/codex_runtime.py: gate live-stream commentary callback (falls
back to legacy reasoning-channel routing when off)
- docs + 2 tests (interim path off, live stream fallback)
Also adds AUTHOR_MAP entries for davidrobertson and 100yenadmin.
Keep each xAI OAuth auth-add login as an independent manual device-code pool entry and recognize xAI personal-team spending-limit 403 responses as billing exhaustion. Preserve the structured top-level error message so the failed credential is quarantined and the next healthy account is selected without attempting a pointless token refresh.
Route direct xAI HTTP consumers through the credential pool as well. Proactive and 401-reactive refreshes update the exact issuing manual entry, preserve validated xAI base URL overrides, and serialize single-use refresh-token rotation across concurrent pool instances.
Add current-main regression coverage for both the registered provider
profile and core GitHub Responses path while leaving live catalog loading
to the complementary catalog-resolution work in #51953.
_extract_parallel_scope_path used Path.cwd() (process cwd) instead of the
tool's actual execution cwd, and os.path.abspath() instead of os.path.realpath(),
so symlink aliases and relative/absolute path pairs that resolve to the same
physical file were treated as distinct targets and placed in the same parallel
segment. On case-insensitive platforms (Windows) os.path.normcase() was also
absent, allowing Foo.txt and foo.txt to race.
Changes:
- agent/tool_dispatch_helpers.py: introduce _canonical_path(raw_path,
execution_cwd) applying expanduser->abspath->realpath->normcase; thread
execution_cwd through _extract_parallel_scope_path and
_plan_tool_batch_segments
- agent/tool_executor.py: pass get_active_env(effective_task_id).cwd as
execution_cwd to _plan_tool_batch_segments; add pathlib.Path import
- run_agent.py: pass active env cwd to _plan_tool_batch_segments at the
second call site inside _execute_tool_calls
- tests/run_agent/test_tool_batch_segmentation.py: add 5 regression tests
covering relative/absolute same target, symlink alias, execution_cwd vs
process cwd, symlink parent + nonexistent write target, and Windows
case-insensitive alias (skipped on non-Windows)
Fixes a file-corruption / lost-update race introduced by the mixed
tool-batch segmentation feature (perf commit #64460).
* feat(analytics): record auxiliary model usage per task in session accounting
Auxiliary LLM calls (vision, compression, title_generation, web_extract,
session_search, ...) discarded their token usage, leaving dashboard
analytics blind to aux model spend (issue #23270).
- hermes_state.py: session_model_usage gains a task PK dimension
(''=main loop) via v22 table-rebuild migration (SQLite can't alter a
PK); record_auxiliary_usage() writes per-(model,provider,task) deltas
WITHOUT touching sessions counters (gateway overwrites those with
absolute main-loop totals — folding aux in would double-count or be
clobbered). Aux rows never inherit the session's main-loop route.
- agent/aux_accounting.py: ContextVar ambient accounting context
(mirrors the portal_tags conversation context); record_aux_usage()
normalizes usage via usage_pricing.normalize_usage, estimates cost,
and is strictly best-effort. moa_reference/moa_aggregator excluded —
conversation_loop already folds MoA usage+cost into the main delta.
- agent/auxiliary_client.py: _validate_llm_response is the recording
chokepoint — every successful non-streaming aux response passes
through it exactly once, sync and async, including fallback paths
(model read from the response itself stays accurate across
fallbacks).
- run_agent.py: run_conversation publishes/resets the accounting
context; agent/title_generator.py republishes on its bare thread.
- hermes_cli/web_server.py: /api/analytics/usage folds aux rows into
by_model (aux-only models finally appear) and adds a by_task
summary; /api/analytics/models surfaces aux rows on the Models page.
Design per review of PR #62850 by @eeksock (thread-local + separate
auxiliary_usage table): rebuilt on ContextVar (async-safe — thread-local
cross-attributes concurrent coroutines on one event loop) and the
existing session_model_usage table instead of a parallel accounting
path, extended beyond vision to every aux task, and wired the analytics
endpoints so the dashboard actually shows it. Credit to @eeksock for
the approach and @tboatman for the detailed root-cause analysis.
* test(moa): match _validate_llm_response mock to new accounting-hint signature
* test(aux): accept accounting-hint kwargs in remaining _validate_llm_response mocks
The end-to-end _build_api_kwargs parity test asserted the Nous Portal
tags exactly equal the base two-tag list. With the per-session
conversation tag, a real agent (which has a session_id) now emits a
third `conversation=<session_id>` tag. Assert against
nous_portal_tags(session_id=agent.session_id) so the check stays exact.
Two consecutive incomplete assistant interims with identical visible
content (content + reasoning) are collapsed even when opaque provider
state (encrypted reasoning item ids, message item phases) drifts per
continuation — previously that drift defeated dedup and caused message
storms (#52711). The latest opaque payload is written onto the existing
message in place, so continuation replay still uses fresh provider
state.
Salvage note: the original PR also made the 3-retry continuation cap
cumulative per turn (no reset on progress). That half is intentionally
dropped — a legitimate long turn alternating incomplete/progress would
hard-fail at 3 cumulative, changing semantics beyond the reported bug.
Map Codex Responses status=incomplete with incomplete_details.reason=content_filter to finish_reason=content_filter so the existing refusal/fallback path runs instead of burning incomplete continuation attempts.
Community reports of GPT 'infinitely thinking' are usually a slow or
overloaded provider plus silent retry machinery: the CLI/TUI/Desktop
spinner shows a generic 'cogitating...' verb for the whole wait and the
gateway heartbeat says only 'Working — N min'.
Add AIAgent._emit_wait_notice(): rewrites the live spinner/status line
(thinking_callback → CLI prompt_toolkit widget, thinking.delta → TUI +
Desktop) and updates the activity tracker (included in the gateway's
'⏳ Working — N min' heartbeat). Wired at the four wait points:
- non-streaming wait loop: after 30s with no response, the line becomes
'⏳ waiting on <model> — Ns with no response yet (provider may be slow
or overloaded; auto-reconnect at Ns)'
- streaming wait loop: same explanation after 30s with no chunks,
including the long-thinking case
- TTFB / stale-stream kills: '⚠ no response from provider in Ns —
reconnecting...'
- Codex continuation retries: '↻ model returned reasoning with no final
answer — asking it to continue (n/3)' instead of silence
Notices are fail-open (display errors never break the wait loop) and
gateway sessions without a display callback still get the improved
activity description.
grok-4.x on the xAI /v1/responses surface sometimes ends a turn with only
reasoning items — no message output item, no tool calls — and those
reasoning items carry no encrypted_content. Two compounding problems:
1. The model occasionally emits its final answer INSIDE the reasoning
channel, delimited by grok's internal "<response>" tag. The answer
exists but is classified reasoning-only → finish_reason=incomplete.
2. An interim assistant message holding only plain-text reasoning replays
as nothing in _chat_messages_to_responses_input, so every continuation
request is byte-identical to the one that just failed. The model
deterministically repeats the reasoning-only response until the retry
budget is exhausted and the turn dies with "Codex response remained
incomplete after 3 continuation attempts".
Fixes:
- _normalize_codex_response (xai_responses only): salvage the
<response>-delimited tail from the reasoning text and promote it to
assistant content; the untagged prefix stays as thinking text.
- Codex-incomplete continuation path: when the interim message has
nothing the input converter will replay (no content, no encrypted
reasoning items, no message items), append a user-role nudge so the
retry actually differs and explicitly asks for the final answer /
pending tool call. Mirrors the existing _get_continuation_prompt
pattern used for length truncation.
Observed live with grok-4.20 on xai-oauth (2026-07-13); sibling of the
grok-composer web_search incomplete-loop fix in transports/codex.py.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Follow-up to the salvaged #64449: the status-trusting branch flipped
github_responses to 'stop' alongside unknown relays. Copilot fronts the
same OpenAI model family as codex_backend and shows the same
reasoning-only 'still thinking' degeneration, so it stays on the
continuation path. Only unrecognized (other:*) backends trust
response.status='completed' as terminal.
The chat_completions path raises EmptyStreamError when a stream yields
no chunks and no finish_reason (#64420). _call_anthropic() had no
equivalent, and the eventless failure surfaces differently by client:
- Real Anthropic SDK: no message_start means no final-message snapshot,
so get_final_message() raises a bare AssertionError — not in the
retry loop's transient set, so it burned no retries and surfaced raw.
- OpenAI-compat shims: may fabricate a contentless Message with no
stop_reason (or return None), flowing out as a 'successful' empty turn.
Track whether any stream event arrived and normalize both shapes to
EmptyStreamError, giving the anthropic path the same transient retry
budget in the shared _call() retry loop. A real completed response
always carries a stop_reason, so the guard cannot fire on legitimate
turns (including eventless mocks with stop_reason='end_turn').
Follow-up to #64420.
Follow-up to @michaelHMK's cherry-picked fix for #50892:
- agent/tool_dispatch_helpers.py: guard the segment planner's except-path
debug log against non-string arguments (the planner replaced the old
_should_parallelize_tool_batch body after #64460 and inherited the same
latent arguments[:200] slice).
- tests: the PR's executor-coercion hunks were dropped as redundant —
both executors now route through _parse_tool_arguments, which already
rejects null/non-object args with a structured error result instead of
coercing to {} (the 'we do not repair bad model outputs' contract).
Reworked the salvaged tests to pin the current behavior: None args are
rejected without dispatch, valid siblings still run, the planner treats
them as a barrier without raising, and the mainline run_conversation
path (which normalizes None to '{}' before dispatch) stays crash-free
under verbose logging.
A model response containing several parallel-safe reads plus one unsafe
tool used to lose ALL concurrency: _should_parallelize_tool_batch was
all-or-nothing, so a single barrier call (terminal, clarify, unknown
tool, malformed args) forced the entire batch onto the sequential path.
_plan_tool_batch_segments now splits the batch into ordered segments:
maximal contiguous runs of parallel-safe calls execute on the existing
concurrent path, barrier calls on the sequential path, strictly in the
model's emission order. Invariants preserved:
- one tool result per call, appended in emission order (segments are
contiguous, so no result reordering across a barrier)
- side-effect boundaries: no call starts before an earlier barrier ends
- overlapping file targets split into separate ordered parallel runs
- turn-end budget enforcement + /steer injection run exactly once per
batch (segment executors run with finalize=False; the segmented
dispatcher owns the whole-turn finalize)
- interrupt during segment k drains segments k+1..n with cancelled
results, keeping one result per tool_call_id
Homogeneous batches keep their original single-path dispatch (zero
behavior delta); _should_parallelize_tool_batch remains as a thin view
over the planner for existing callers and tests.
Add agent.reasoning_overrides dict to config.yaml. Users can now set
a reasoning_effort per model, overriding the global agent.reasoning_effort.
Example:
agent:
reasoning_effort: "medium" # global default
reasoning_overrides:
"openrouter/anthropic/claude-opus-4.5": "xhigh"
"openai/gpt-5": "low"
"claude-sonnet-4.6": "high" # bare model name also works
The helper is spelling-tolerant: override keys match regardless of
provider prefix or dots-vs-dashes normalization, so users can write
keys in any sensible form and they'll match.
Resolution priority:
1. Session-scoped /reasoning --session override (gateway only; unchanged)
2. Per-model override from agent.reasoning_overrides (spelling-tolerant)
3. Global agent.reasoning_effort (existing)
4. Provider default (unchanged)
Wired into:
- CLI startup (cli.py)
- Messaging gateway agent construction (gateway/run.py)
- Desktop/TUI _load_reasoning_config (tui_gateway/server.py)
- Cron job scheduler (cron/scheduler.py)
- /model mid-session switch (agent/agent_runtime_helpers.py)
+ _primary_runtime now tracks reasoning_config for correct fallback recovery
- Fallback activation (agent/chat_completion_helpers.py::try_activate_fallback)
+ Re-resolves reasoning_config for the fallback model (best-effort)
Closes#21256 (per-model reasoning_effort defaults).
Note: no hermes config set agent.reasoning_overrides.<model> support;
users edit the YAML directly. _set_nested splits on "." and would
corrupt model keys containing version dots.
Follow-up to the cherry-picked empty-user-turn drop: the placeholder
introduced in 8582f35d9 fired for whitespace-only STRING turns too
(content=' ' flattens to non-stripping text but isn't in the
(None, '', []) exclusion set), fabricating an attachment note for a turn
that carried nothing. Gate the placeholder on isinstance(content, list)
so only genuinely structured (e.g. image-only) turns get it; empty and
whitespace-only string turns now fall through to the drop path.
Edge cases verified: trailing empty user turn still ends the view on the
synthetic advisory marker; an all-empty transcript degenerates to [].
MoA's _reference_messages() unconditionally appended every user-role
message to the advisory view sent to reference models, even when the
message content was an empty string or a non-string/multimodal payload
that the text-extraction step flattens to "".
Strict providers (Kimi/Moonshot, and others that enforce non-empty user
content) reject such a message with:
400 Invalid request: the message at position N with role 'user'
must not be empty
Lenient providers (DeepSeek) accept it, so an identical rendered view
passes on one reference and 400s on another within the same fan-out —
the user sees "kimi doesn't support MoA" when the real cause is an empty
user turn leaking into the advisory transcript.
Skip empty user turns, mirroring the existing behavior for empty
assistant turns (which are already dropped when they carry no parts).
The end-on-user invariant is preserved: the synthetic advisory-request
user turn is still appended when the view would otherwise end on an
assistant turn.
Adds a regression test asserting the advisory view contains no empty
user turn and still ends on a user turn.
Review follow-up to the reasoning_config cache-parity fix:
- Only inherit the parent's reasoning_config when the fork runs on the
parent's model (not routed). On the routed aux path
(auxiliary.background_review.{provider,model}) the cache is cold
regardless, so parity buys nothing, and the parent's effort vocabulary
can be invalid for the routed model/provider: OpenRouter
extra_body.reasoning.effort is forwarded unclamped
(chat_completions.py) and codex_responses only maps max/ultra for
gpt-5.6 — an exotic parent effort routed to a strict provider could
400 the review. Mirrors the existing 'not _routed' gate on
_cached_system_prompt / session_start three lines below.
- Add a routed-path regression test asserting reasoning_config is
omitted from the fork kwargs when _resolve_review_runtime returns
routed=True.
- Extract the four copy-pasted recorder stubs in
test_background_review_cache_parity.py into a single
_make_recorder_class() factory so a new fork attribute needs one stub
edit, not four.
