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.
* fix(desktop): preserve interim assistant text wiped at message.complete
When the agent emits interim text (commentary alongside tool calls, or the
attempted final answer before a verify-on-stop nudge), all UI surfaces
streamed it live but then wiped it at message.complete — keeping only the
final response. The user saw text appear during inference, then disappear.
This is the complete fix across all three layers: agent core, gateway
transport, and all UI surfaces (desktop + Ink TUI).
The verify-on-stop and pre_verify paths flagged the assistant's attempted
final answer as _verification_stop_synthetic, suppressing it from both
state.db and the UI. The user only saw the terse post-verification reply.
Now the assistant response is real content: it's persisted to state.db and
emitted as an interim message via _emit_interim_assistant_message(force_display=True)
before the verification loop runs. Only the synthetic nudge messages keep
the synthetic flags. The turn finalizer drops nudges from live history and
compares content (not just role) to avoid duplicating a published candidate.
Message sequence repair collapses verification candidates in the
consecutive-assistant merge.
Wire agent.interim_assistant_callback both at construction (_agent_cbs())
and per-turn (defense-in-depth), emitting a new message.interim event with
{text, already_streamed}. Gated on display.interim_assistant_messages
(default true). Cleared in the finally block so a stale closure can't
fire on a later turn.
Add message.interim to the GatewayEventName union (apps/shared) and a
typed payload to the TUI's GatewayEvent discriminated union.
The TUI already had the segment-anchoring machinery (flushStreamingSegment +
finalTail) but had no handler for message.interim. Added recordInterimMessage
+ interimBoundaryIndex to seal segments mid-turn, and updated
recordMessageComplete to only dedupe segments after the interim boundary.
Replaced the fragile sealed-set approach with a proper interimBoundaryPending
state flag on ClientSessionState. finalizeInterimAssistantMessage finalizes
the streaming bubble in place (or creates a standalone one), rotates the
stream ID so next deltas create a new bubble, and sets the flag. When the
final text equals an already-sealed interim, they stay as distinct messages.
Extracted mergeFinalAssistantText() as a pure function in chat-messages.ts,
used by both completeAssistantMessage and finalizeInterimAssistantMessage.
Split the bidirectional dedup predicate: reasoning is a restatement only when
the final FULLY covers it. A short final ("Done.") no longer swallows a
longer reasoning block that merely starts with it.
Honor display.interim_assistant_messages (default true) across all layers:
the tui_gateway gates the callback, the desktop wires it to a nanostores
atom via use-hermes-config. Updated hermes_cli/config.py and
cli-config.yaml.example comments to document the Desktop behavior.
_split_segment_tokens now accepts posix=False and _find_ad_hoc_match tries
both posix modes so ad-hoc verification scripts with Windows backslash
paths are matched correctly. (response_previewed forwarding from #53553
is not included — our emit-interim + persist approach makes it unnecessary
since the attempted answer is now surfaced before the verification loop.)
- tsc: clean (desktop + TUI + shared)
- vitest desktop: 73/73 pass (7 interim-sealing + 5 mergeFinalAssistantText + 4 config atom)
- vitest TUI: 83/83 pass (4 new message.interim tests)
- python: 390 tests pass (340 tui_gateway + 33 verification/finalizer + 6 config gating + 3 evidence + 8 continuation budget)
Co-authored-by: Liam Zhang <yingliang-zhang@users.noreply.github.com>
Co-authored-by: Lucas D'Alessandro <lucasfdale@users.noreply.github.com>
Co-authored-by: Eric Manganaro <superposition@users.noreply.github.com>
Co-authored-by: sweetcornna <sweetcornna@users.noreply.github.com>
Co-authored-by: DECK6 <DECK6@users.noreply.github.com>
Co-authored-by: matantsevs <matantsevs@users.noreply.github.com>
Co-authored-by: gitcommit90 <gitcommit90@users.noreply.github.com>
* fix: prefix-match interim streamed content to avoid benign duplicate bubbles
_interim_content_was_streamed used exact equality (streamed == visible_content),
so a final response that was the streamed text plus a trailing delta — or a
partial stream before the verify nudge fired — failed the match and left
_response_was_previewed false. The turn then showed two bubbles (interim +
identical final) instead of settling the interim in place.
Relax to a prefix check (visible_content.startswith(streamed)) in both the
core match and the desktop's settle-in-place gate. The TUI already used
prefix matching via finalTail. The reverse direction (streamed longer than
final) is intentionally not matched — that could suppress a needed resend
in the gateway path where already_streamed=True calls on_segment_break().
* test(desktop): add partial-stream-then-nudge dedup edge case
Third edge case for the interim-sealing dedup: model streams part of its
answer via message.delta, verify nudge fires, interim seals the streamed
prefix, then the final response is the same text plus a trailing delta.
Asserts one bubble (not two) containing the full final text.
Acceptance protocol #2 — covers all three dedup edges:
1. interim == final (existing)
2. interim = strict prefix of final (existing)
3. partial-stream-then-nudge (this commit)
---------
Co-authored-by: Liam Zhang <yingliang-zhang@users.noreply.github.com>
Co-authored-by: Lucas D'Alessandro <lucasfdale@users.noreply.github.com>
Co-authored-by: Eric Manganaro <superposition@users.noreply.github.com>
Co-authored-by: sweetcornna <sweetcornna@users.noreply.github.com>
Co-authored-by: DECK6 <DECK6@users.noreply.github.com>
Co-authored-by: matantsevs <matantsevs@users.noreply.github.com>
Co-authored-by: gitcommit90 <gitcommit90@users.noreply.github.com>
Every API iteration computed `total_chars = sum(len(str(msg)) ...)`, which
str()-serializes the ENTIRE history — including base64 images and large tool
results — just to take its length, then called estimate_request_tokens_rough,
which walked the messages a SECOND time (it re-runs estimate_messages_tokens_rough
internally, already computed one line above).
Now derive both from one image-stripped message estimate:
approx_tokens = estimate_messages_tokens_rough(api_messages) # once
request_pressure_tokens = approx_tokens + tools_tokens # == old value
total_chars = approx_tokens * 4 # log/metric only
request_pressure_tokens is byte-identical to the old
estimate_request_tokens_rough(api_messages, tools=agent.tools or None) (no
system_prompt arg → messages + tools). total_chars only feeds a verbose log and
the pre-api-request hook's request_char_count, so a rough proxy is fine and it no
longer balloons on image turns. On the TTFT critical path for every call.
tests/agent/test_model_metadata.py + test_compressor_image_tokens.py green.
The first LLM call of every gateway turn gets ~0% provider prompt-cache
hit rate (in-turn calls: 97-99%) because the bytes sent for a turn's
user message are not the bytes replayed next turn: memory-prefetch and
pre_llm_call context are injected into the API copy only, the #48677
persist override writes cleaned content to the DB row, and
get_messages_as_conversation sanitize/strips user and assistant content
on load. Any of these diverges the request prefix at that message and
re-prefills everything after it — measured 27.9s for the first call vs
2.4-5.8s cached at a median ~156k-token context.
Persist what you send: a nullable messages.api_content column stores the
exact content string sent to the API when it differs from the clean
stored content, and replay substitutes it verbatim (no sanitize, no
strip). The injection composition lives in one helper
(turn_context.compose_user_api_content); the turn prologue stamps its
output onto the live user message, the api_messages build sends the
stamped bytes, and every outgoing copy pops the field so it never
reaches a provider. The crash-resilience user-turn persist moves after
prefetch/pre_llm_call so the user row is written once with its final
sidecar; _ensure_db_session stays before preflight compression (session
rotation needs the parent row under PRAGMA foreign_keys=ON). The
current-turn index trackers are re-anchored after compaction rebuilds
the message list, in-place preflight compaction backfills the stamp onto
the already-inserted row, and gateway replay forwards the sidecar only
when the replay pipeline did not rewrite the content. Rewrite paths that
would leave stale bytes (historical image strip, merge-summary-into-
tail, consecutive-user repair merge, stale-confirmation redaction) drop
the sidecar; the chat-completions transport and the max-iterations
summary path strip it defensively. codex_app_server and MoA turns are
excluded from stamping because their wire bytes differ from the
composition. A missing or dropped sidecar degrades to today's behavior
(one cache-boundary miss), never to wrong content.
1. Remove PR's redundant strip_think_blocks coercion (Teknium's fix
296494db0 already handles this at the same chokepoint with superior
logic that drops thinking/reasoning blocks).
2. Restore 'if not content: return ' guard at top of strip_think_blocks
that was lost during cherry-pick auto-merge. Without it, None content
hits str(None) → 'None' string instead of returning empty.
3. Fix error classifier design flaw: remove 'conversation_loop' and
'run_agent' from _local_processing_modules — these are the container
modules for the try/except, so every exception passes through them,
making _hit_local always True and misclassifying transient API/network
errors as non-retryable local bugs.
4. Move module sets to module-level frozenset constants (_LOCAL_PROCESSING_MODULES,
_API_CALL_MODULES) instead of rebuilding on every exception.
5. Replace traceback.extract_tb() with raw tb walk — avoids disk I/O for
source lines that are never used.
6. Remove unused 'import traceback'.
7. Fix docstring corruption: 3 lines where think tags were replaced
with Chinese characters during the PR's editing.
Degrading models (observed with gpt-5.6 past ~350K input) emit tool-call
batches like 6 valid named calls + 1 blank-name call. Previously the
whole turn was voided — every valid call got 'Skipped: another tool call
in this turn used an invalid name' — and three such batches tripped the
3-strike stop, killing sessions that were still making progress.
Now a mixed batch error-results ONLY the invalid call(s) (terse
anti-priming error for blank names per #47967, catalog dump for typos)
and dispatches the valid subset for execution. The assistant message
keeps every emitted call so provider-side tool_call/result pairing stays
intact. The 3-strike counter only advances when a turn contains NO valid
call, so a fully-degenerate model still stops while a mostly-coherent
one keeps working. Broken JSON args on a never-executing invalid call no
longer trigger the whole-turn JSON retry loop.
Field evidence: July 2026 debug bundle showed gpt-5.6-sol emitting
6-call batches with one blank-name rider at 559K/384K-token context in
two separate sessions; 13 valid tool calls were discarded before the
session stopped as partial.
Three fixes for the Bedrock Claude path:
1. Streaming fallback: When AnthropicBedrock SDK raises 'Unexpected event
order' (SDK misparses Bedrock error events as message_start), auto-switch
to native Converse API for the rest of the session instead of failing
after 3 retries.
2. Image base64 decode (#33317): data URL payloads were passed as base64
strings to source.bytes, but boto3 re-encodes at the wire layer. Now
decoded to raw bytes before passing to Converse API.
3. Bearer token routing (#28156): Users with AWS_BEARER_TOKEN_BEDROCK are
now routed through Converse API regardless of model, since the
AnthropicBedrock SDK only supports SigV4 signing.
3 new tests. 121 bedrock_adapter tests passing.
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.
Follow-up to the salvaged #63690: when the interim assistant message is
too empty to append (no content and no reasoning of any kind), the last
message in history is still the prior user/tool turn — appending the
user-role nudge there would create a user→user or tool→user sequence
that strict providers reject. Only append the nudge when the last
message is an assistant turn. Also add IpastorSan to AUTHOR_MAP.
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>
The upstream migration to inference.nousresearch.com broke routing for
inference-api.nousresearch.com. Restore the correct base_url and drop
the stale alias match in _is_nous_inference_route().
Fixes#60715
Add a bounded turn-end stop guard for kanban workers. When a worker
tries to exit with finish_reason=stop without having called
kanban_complete or kanban_block, inject up to two synthetic nudges
so the conversation loop continues instead of exiting cleanly (which
the dispatcher records as protocol_violation).
Mirrors the existing verify-on-stop pattern: same ephemeral scaffolding
flag (_kanban_stop_synthetic), same role-alternation contract, same
_pending_verification_response fallback for budget exhaustion.
Disabled by default (gated on HERMES_KANBAN_TASK env var set by the
dispatcher); kill switch via HERMES_KANBAN_STOP_NUDGE=0.
Salvaged from #62262 by @mdc2122. The original branch was 272 commits
behind main with ~538 files of stale-base reversions; this salvage
applies only the 4 substantive files (agent/kanban_stop.py,
conversation_loop.py insertion, run_agent.py _EPHEMERAL_SCAFFOLDING_FLAGS,
tests/agent/test_kanban_stop.py).
Salvage of #63888. The original fix clears stale _last_content_with_tools
on substantive tool-only turns but doesn't clear _mute_post_response, which
a prior housekeeping turn may have set. This suppresses tool progress
output via _vprint until the no-tool-call branch resets it at line ~4834
— after all tools have finished executing.
Fix: also reset _mute_post_response = False when clearing stale fallback.
Added test: verify pure housekeeping turns (content + only housekeeping
tools) still set the fallback correctly — the original use case the
fallback was designed for.
Co-authored-by: liuhao1024 <sunsky.lau@gmail.com>
A cached _last_content_with_tools response from a housekeeping-only turn
could survive a later substantive tool-only turn. When the model returned
an empty response, Hermes incorrectly finalized the older housekeeping
narration instead of invoking the post-tool empty-response nudge.
Production impact: scheduled cron jobs could return early without completing
their actual work (e.g., daily report job returning a housekeeping message
instead of producing the report artifact).
Root cause: The fallback state was only updated when a turn had both
content AND tool_calls. A turn with tool_calls but empty visible content
would skip state updates entirely, leaving stale fallback state intact.
Fix: Classify tools in every tool-call turn (regardless of visible content).
When any tool is substantive (non-housekeeping), clear the older fallback state
before processing later empty responses. This prevents two-turn-old housekeeping
narration from being treated as if it belonged to the immediately preceding
substantive tool turn.
Regression test added: tests/run_agent/test_conversation_fallback_state.py
Fixes#63860
Cache-decorated turns (apply_anthropic_cache_control converts string
content to [{type: text, ..., cache_control}] lists — applied BEFORE the
MoA facade since the #57675 cache-cold fix) and multimodal turns
(text + image_url parts) flattened to empty strings in
_reference_messages, which only read str content. On turn 1 of a
provider:moa session with a Claude aggregator the references received a
single EMPTY user message: Anthropic-side providers 400'd ('messages: at
least one message is required') while tolerant models answered 'no user
request is present' (live incident Jul 14 2026, preset 'closed').
Fixes, in totality:
- _reference_messages: extract visible text via
agent/message_content.flatten_message_text for user/assistant/tool
turns (skips image parts, so no base64 leaks into the advisory view);
decorated and undecorated transcripts now produce a byte-identical
advisory view (advisor cache prefix stays stable).
- image-only user turns get a placeholder instead of an empty message
(Anthropic rejects empty text blocks) or a silently dropped turn
(would break user/assistant alternation).
- degenerate-case fallback flattens structured content too.
- _attach_reference_guidance: a decorated/multimodal trailing user turn
now receives the guidance as a NEW text part appended AFTER the
cache_control-marked part (cached prefix byte-stable) instead of
falling through to a second consecutive user message (strict providers
reject user/user).
- conversation_loop MoA injection: multimodal user turns get the MoA
context appended as a trailing text part instead of being dropped;
user_prompt for the one-shot path flattens content lists instead of
str()-ing them (which leaked base64 payloads into the prompt).
Live-verified on the 'closed' preset (real OpenRouter wire, 2 user
turns, tool loop): all 4 reference calls carry the full document +
rendered tool state, end on user, zero tool-role/tool_calls; advisor
cache_write 7968 then cache_read 5909+; aggregator cache_read
14880-15237 on iterations 2+.
Co-authored-by: bo.fu <bo.fu@meituan.com>
Salvage of #63862. is_output_cap_error() returns False for vLLM/LM Studio
error messages that contain 'prompt contains ... input tokens' (treated as
input-overflow signal). But parse_available_output_tokens_from_error() CAN
extract a valid available_tokens from those same messages. The
compression-disabled guard only checked is_output_cap_error(), so vLLM/LM
Studio users with compression off still got a terminal failure instead of
the max-tokens retry.
Fix: also exempt when parse_available_output_tokens_from_error() returns a
value — that function determines whether the retry path can actually handle
the error, so it's the right predicate for the exemption.
Added test: verify vLLM-format error with compression_disabled=False still
triggers the max-tokens retry path.
Co-authored-by: dmabry <dmabry@users.noreply.github.com>
The branch computed safe_out from estimate_messages_tokens_rough(messages),
but the provider rejected the larger api_messages request (system prompt,
injected context, tool schemas). When API-only content is large, safe_out
could far exceed the provider's available_tokens.
Compute safe_out from estimate_request_tokens_rough(api_messages, tools=...)
and keep provider available_out as an upper bound. Do not alter context_length
or trigger compression for output-cap errors.
Add production-path run_conversation tests that assert the retry API call's
max_tokens, including a case where a large system prompt makes messages-only
estimation undercount the real request.
Fixes#55546
The retry loop computed safe_out from the error's available_tokens,
which reflected the *previous* request. Between retries the agent
appends tool results and error text, so the real input token count
grows. Deriving safe_out from the stale budget meant every retry
still exceeded the context ceiling by 1+ tokens, burning through the
3-attempt limit.
Compute safe_out from estimate_messages_tokens_rough(messages) so
the cap tracks the growing input on each retry attempt.
Cron jobs in the gateway process wedged before HTTP on later non-streaming
API calls because interruptible_api_call spawned a daemon worker inside
nested cron thread pools. Route cron platform turns through direct_api_call
on the conversation thread instead.
Treat intent-ack continuation text as non-final so last-turn exhaustion requests a real summary instead of surfacing a premature promise. Keep iteration-limit fallback text free of the abnormal-fragment explainer.
Name the continuation fallback for its actual verification-only provenance so unrelated continuation paths cannot accidentally inherit its cron-delivery semantics.
Track held-back verification responses explicitly so budget exhaustion returns the composed report without a second model call. Keep unrelated error and recovery exit reasons intact, preserve Kanban timeout accounting, and cover the real run_conversation paths.
Clear stale final_response before verify-on-stop/pre_verify loop
continues, and normalize iteration-limit exit reasons in turn_finalizer
when a composed answer survives with unknown/budget_exhausted.
Fixes#61631
Follow-up on the salvage of #59523. Two low-risk cleanups surfaced by review:
- Extract _ZAI_CODING_OVERLOAD_SHORT_ATTEMPTS as a module constant so
adaptive_rate_limit_backoff() and zai_coding_overload_retry_ceiling()
share one source of truth. Previously both hardcoded short_attempts=3
independently; tuning one without the other would silently desync the
retry ceiling from the backoff schedule.
- Replace the tautological formula-mirroring assert in
test_zai_overload_retry_ceiling_exceeds_short_attempts with a behavior
invariant (ceiling leaves headroom for every long-backoff entry), per the
repo's contracts-over-snapshots testing rule.
Z.AI Coding Plan GLM-5.2 reports server overload as HTTP 429 code 1305
("temporarily overloaded"). classify_api_error routes that to
FailoverReason.overloaded (so a valid credential pool isn't burned), but
the adaptive Z.AI backoff was gated on is_rate_limited — which excludes
overloaded — so it never ran (policy=default) and the request failed after
a few quick short retries.
Two compounding causes, both fixed here:
1. Detect the Z.AI overload 429 directly and let its adaptive backoff run
on the overloaded path, not only the rate_limit path.
2. Raise the retry ceiling for this narrow case via
zai_coding_overload_retry_ceiling(). The long-backoff tier
(30/60/90/120s) starts after short_attempts (3) retries, but the default
api_max_retries is also 3, so the loop always gave up before the long
tier could run — leaving the whole long-backoff schedule as dead code.
Scope is limited to the existing narrow is_zai_coding_overload_error match,
so other providers' 429/503/529 handling is unchanged.
The google-antigravity and google-gemini-cli OAuth providers were removed
in #50492. They were the only producers of a cloudcode-pa:// base_url, so
the account-level-quota early-returns in _pool_may_recover_from_rate_limit
and _credential_pool_may_recover_rate_limit are now unreachable.
- Drop the dead cloudcode-pa:// checks and the now-unused provider/base_url
params on _pool_may_recover_from_rate_limit (only caller updated).
- Prune the obsolete CloudCode-specific regression tests; keep the live
single/multi-entry pool-rotation invariants (#11314).
ruff check --fix --select F541 . on current main. Pure prefix removals;
adjacent-string concatenations keep the f only on interpolating fragments.
No string content or live placeholder altered.
Inspired by Claude Code v2.1.199 (July 2, 2026): SSL certificate errors
(TLS-inspecting proxies, missing CA bundles, expired certs) no longer
burn retries before showing actionable guidance — they fail immediately
with the fix hint.
- agent/error_classifier.py: new FailoverReason.ssl_cert_verification +
_SSL_CERT_VERIFY_PATTERNS, checked BEFORE the transient-SSL patterns
(cert-verify messages also contain '[SSL:' and previously retried
forever as timeout). Non-retryable, no compression, no fallback churn.
- agent/conversation_loop.py: dedicated status line + per-cause fix
hints (corporate proxy CA bundle, certifi refresh, self-signed local
endpoints) on the non-retryable abort path.
- 7 new tests incl. regression guards (transient alerts still retry,
large-session cert failure doesn't trigger compression).
* fix(cli): set correct x-initiator header per Copilot turn
copilot_default_headers() always hardcoded x-initiator: agent, but
GitHub Copilot billing requires "user" for user-initiated prompts and
"agent" for tool/follow-up calls. This caused premium requests to never
be consumed correctly, risking billing issues or account bans.
Adds is_agent_turn param to copilot_default_headers() and injects
extra_headers={"x-initiator": "user"} on the first API call of each
user turn when targeting Copilot URLs. The flag flips to False after
injection so subsequent calls (tool use, streaming fallback) default
back to "agent".
Fixes#3040
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* chore(release): add AUTHOR_MAP entry for @tjp2021 (PR #4097 salvage)
---------
Co-authored-by: Tim <tim@iteachyouai.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Self-review (hermes-pr-review Phase 2) flagged the mid-turn pre-API
compaction for reuse/duplication (W1/W2); fixing that surfaced a
regression against a deliberate existing feature, now also fixed.
The block now mirrors the turn-prologue preflight's guard chain exactly
(agent/turn_context.py) instead of a hand-rolled pressure limit:
1. should_defer_preflight_to_real_usage(rough) — defer when the rough
estimate is known-noisy vs a recent real provider prompt that fit
under threshold (schema overhead / post-compaction over-count, #36718).
2. get_active_compression_failure_cooldown() — skip during a same-session
compression-failure cooldown.
3. should_compress(rough) — reuses the canonical threshold_tokens (output
room already reserved by _compute_threshold_tokens) plus its summary-LLM
cooldown + anti-thrash guards (#11529).
Dropped the seven inline _reserve/_output_pressure locals (W2: they
re-derived _compute_threshold_tokens and omitted its 85% degenerate-window
fallback). compression_attempts stays as the hard per-turn backstop.
Without guard (1) the block fired a compaction the preflight deliberately
defers, breaking test_413_compression::test_preflight_defers_when_recent_
real_usage_fit (ValueError from the mocked _compress_context). Verified:
test_413_compression 26/26, codex 82/82, and anti-thrash engaged
(_ineffective_compression_count=2) still suppresses the block (0 calls).
The salvaged max-output/pressure fix set conversation_history=None after
the new pre-API compaction. That is only correct for legacy session-
rotation. Under the default in-place compaction (compression.in_place:
True), archive_and_compact inserts the compacted rows into the session DB
directly without stamping them with the intrinsic persisted-marker, so a
subsequent flush with conversation_history=None re-appends them — doubling
the active context and retriggering compression (the early-persist
duplicate-row trap).
Use conversation_history_after_compression(agent, messages), matching the
two existing compaction sites (post-response should_compress and the
turn-prologue preflight), which returns None for rotation and
list(messages) for in-place so the compacted dicts are skipped by identity.
Adds a regression test with a real SessionDB + real archive_and_compact
that asserts the compacted summary row is persisted exactly once (fails
with 2 copies on the None variant).
A single-model Hermes agent never sends temperature; the provider default
applies. MoA hardcoded reference_temperature=0.6 / aggregator_temperature=0.4,
and the coercion float(preset.get(key, 0.6) or 0.6) made unset IMPOSSIBLE to
express: absent, null, empty, and even an explicit 0 all collapsed to the
baked-in default. Every MoA advisor and aggregator therefore ran at 0.6/0.4
while the same model running solo used the provider default — silently
skewing solo-vs-MoA comparisons and overriding provider-tuned defaults.
- moa_config normalization: temperatures coerce to None when absent/blank/
invalid (new _coerce_float_or_none); explicit values incl. 0 honored.
- moa_loop: _preset_temperature() resolves preset values; None flows to
call_llm, which already omits the parameter when None (same contract as
max_tokens). Aggregator still inherits the acting agent's own configured
temperature when the preset doesn't pin one.
- conversation_loop (context-mode MoA): same resolution, no more hardcoded
0.6/0.4 at the call site.
- DEFAULT_CONFIG preset + web_server payload models + docs updated: unset
is the default, pinning stays available.
MoA per-turn latency is dominated by advisor GENERATION: turn wall time
correlates ~0.88 with output tokens and ~-0.03 with input tokens (measured over
52 turns). Each turn waits for the slowest advisor to finish writing, and
advisors were uncapped — writing multi-thousand-token essays the aggregator
only needs the gist of.
Add an opt-in per-preset reference_max_tokens knob (mirrors reference_temperature)
that caps ADVISOR output only; the acting aggregator is never capped. Default
None = uncapped, so existing presets are byte-for-byte unchanged (no regression).
Wired through both MoA execution paths (MoAChatCompletions.create and
aggregate_moa_context).
E2E: same task, closed preset uncapped vs reference_max_tokens=600 -> 59s to 33s
(~44% faster), final answer identical/correct.
- hermes_cli/moa_config.py: _coerce_int_or_none helper + reference_max_tokens
in _normalize_preset/_default_preset/flattened view
- agent/moa_loop.py: read preset.reference_max_tokens, pass to reference fan-out
- agent/conversation_loop.py: pass reference_max_tokens on the per-turn path
- tests + docs
On the MoA path agent.model/provider are the virtual preset name (e.g.
"closed") and "moa", which have no pricing entry. estimate_usage_cost()
returned None for the aggregator turn, so the `if amount_usd is not None`
guard skipped it and the session's estimated_cost_usd reflected only the
advisor fan-out — a ~50% undercount when the aggregator does the full acting
loop (verified: $0.91 advisor-only vs $1.96 true, aggregator = 54%).
MoAChatCompletions.create() now stashes the resolved aggregator slot as
last_aggregator_slot (exposed via MoAClient); conversation_loop reads it to
price the aggregator turn at its real model/provider. cost_source flips from
'none' to 'provider_models_api'.
