The OpenTUI /usage went through the slash-worker subprocess, which
resumes the session WITHOUT a live agent — so it could never show
current-session tokens or costs, and what it did show landed as a
full-screen page.
- slash.exec now answers /usage in-process from the live agent:
per-model rows (requests, tokens in/out, cache, provider-reported
cost when present), session totals/context, a one-line 30-day
summary (SessionDB.usage_totals, real costs only) and a one-line
Nous credits gauge (nous_credits_compact_line, refactored out of
nous_credits_lines). ~8 lines instead of a page.
- Unreported costs render as 'not reported by provider' — never
$0.00 — and the 30d summary omits cost when no session in the
window has a provider-reported figure.
- /usage full keeps the detailed legacy CLI page via the worker.
Cost displays were estimates from a pricing table; on OpenRouter the
status bar never reflected what was actually charged. Now cost is
provider-REPORTED only, end to end:
- OpenRouter requests carry usage:{include:true} (profile + legacy
transport paths); the response usage.cost field (credits, 1:1 USD)
is captured per call into agent.session_actual_cost_usd and
persisted to the sessions DB actual_cost_usd column (NULL-safe:
unreported calls never touch the stored value).
- Nous keeps its x-nous-credits-* header capture; the header delta
now surfaces as the session's real cost via real_session_cost_usd.
- Providers that report nothing accumulate NOTHING: cost fields stay
absent/None (the TUI hides its cost segment), never a fabricated
$0.00 and never an estimate. _get_usage, gateway /usage and the
CLI usage page all switched off estimate_usage_cost for display.
- Per-model session accumulator (session_model_usage) records real
per-call counts and provider-reported cost per model.
hermes --tui launches the native OpenTUI engine (Bun) when
HERMES_TUI_ENGINE=opentui (env) or display.tui_engine=opentui (config);
Ink stays the default and the shipping path is untouched.
- _resolve_tui_engine() (env > config > ink); refuses opentui on
Windows/Termux (no Bun) -> falls back to ink with a notice.
- _make_opentui_argv() -> [bun, src/entry.real.tsx] (no build step).
- _bun_bin() with HERMES_BUN override.
- Branch at top of _make_tui_argv BEFORE _ensure_tui_node (Bun-only host
must not bootstrap Node).
- Gate _launch_tui NODE_OPTIONS/--max-old-space-size on engine==ink (Bun
is JSC; the V8 flag errors/ignores).
Verified end-to-end via tmux: real hermes --tui -> Bun -> OpenTUI ->
real Python gateway streamed a real reply. No-flag default still ink.
Tell coding agents to activate shell setup once per session instead of re-sourcing it before every command, and pin the existing LocalEnvironment env-snapshot behavior with regression tests.
The prompt consolidation above retires the carveout-era prefix. Without a
frozen copy in _HISTORICAL_SUMMARY_PREFIXES, summaries persisted by
pre-upgrade builds would lose detection (_is_context_summary_content) and
renormalization (_strip_summary_prefix) — the exact regression class the
tuple exists to prevent. Adds contract tests covering every frozen prefix.
Refs #41607#38364#42812
The coding-posture brief told GPT/Codex models to use patch mode='patch'
(V4A) for structured/multi-file changes but mode='replace' "for a single
small swap". That second nudge points those models at a format their
first-party harness never taught them.
Verified against openai/codex (current main): apply_patch is the ONLY file
editor in codex-rs — zero occurrences of str_replace/old_string anywhere in
the repo; the grammar (core/src/tools/handlers/apply_patch.lark) is exactly
the V4A dialect our patch_parser implements; the shipped model prompts
(gpt_5_codex, gpt-5.2-codex, gpt-5.1-codex-max + instruction templates)
explicitly say to use apply_patch "for single file edits"; and the tool is
gated per model via ModelInfo.apply_patch_tool_type, i.e. OpenAI ships
V4A-for-everything as model metadata.
The GPT-family line now steers to mode='patch' for all edits, single-file
included. The replace-family line (Claude + open-weight) is unchanged —
Claude Code's FileEdit is old_string/new_string/replace_all exact string
replacement (confirmed from Anthropic's shipped sdk-tools.d.ts, the only
file editor in its tool union), matching our mode='replace'.
The coding posture's names-only demotion of non-coding skill categories
(#44342) applied under the default auto mode, silently changing the skill
index for every user in a git repo. Index changes must be opt-in: demotion
now only fires under agent.coding_context=focus, alongside the toolset
collapse. auto/on leave the skill index untouched; focus semantics are
unchanged (demoted, never hidden; deny-list keeps coding-adjacent and
custom categories at full entries).
Real-world failure with the original index pruning: under the default auto
posture, an agent-created ops skill in a demoted category vanished from the
prompt's skill index mid-project, and the agent silently fell back to a
stale sibling skill instead. The "discovery-only" premise didn't hold —
models do not reach for skills_list to rediscover what the index stops
showing them, and agent-created skills are the model's accumulated project
memory (runbooks, pitfalls, operating rules).
Gating pruning behind the opt-in focus mode was the wrong fix too: users
opening a worktree don't know the config exists, so the index-noise win
would effectively never ship.
Instead, the coding posture now DEMOTES non-coding categories rather than
hiding them: each demoted category renders as a single names-only line
("gaming [names only]: allthemons10-ops, mc-backup") with a footer note
explaining the omitted descriptions. Every skill name stays in the prompt,
so memory-anchored recall ("load <name>") keeps working in every mode,
while the description noise is still cut. Applies in auto/on/focus alike;
the general posture demotes nothing. Deny-list semantics unchanged —
unknown/custom categories and coding-adjacent ones keep full entries.
API renamed to match the honest semantics: hidden_skill_categories →
compact_skill_categories, build_skills_system_prompt(hidden_categories=) →
compact_categories=.
IAM policies scoped to bedrock:InvokeModel only (a common least-privilege
setup) reject converse_stream() with AccessDeniedException. The agent loop
hard-prefers streaming and the denial never matched the 'stream not
supported' auto-fallback, so InvokeModel-only users looped on AccessDenied
forever.
- agent/bedrock_adapter.py: new is_streaming_access_denied_error()
detector (ClientError code check + wrapped-SDK message match);
call_converse_stream() falls back to converse() on denial.
- agent/chat_completion_helpers.py: bedrock_converse streaming branch
retries inline via converse() and sets _disable_streaming so later
turns skip the doomed stream attempt; the chat-completions retry
block also recognizes the denial for the AnthropicBedrock SDK path
(message pre-check avoids importing bedrock_adapter — and its lazy
boto3 install — for unrelated providers).
Both paths print a one-line notice telling the user which IAM action
restores streaming.
* feat(agent): coding-context posture with per-model edit-format tuning
Hermes detects when it's running in a coding context — an interactive
surface (CLI, TUI, ACP, desktop) sitting in a code workspace (git repo or
recognised project root) — and shifts into a coding posture. Outside that
(chat platforms, non-workspaces) nothing changes.
The posture is modelled as a frozen RuntimeMode selected from a small
ContextProfile registry (coding/general). A profile is data: the toolset to
collapse to, the operating brief to inject, and seams for model routing and
memory. Every domain reads the same resolved object instead of re-probing
git/config on its own:
- System prompt — RuntimeMode.system_blocks(): an operating brief (gather
context before editing, edit through tools not chat, verify with terminal,
cap retry loops) plus a live git/workspace snapshot, built once and baked
into the stable prompt tier so per-conversation caching is preserved.
- Per-model edit-format tuning — the brief nudges each model family toward
the patch mode it handles best: OpenAI/Codex toward mode='patch' (V4A
multi-file diffs), Anthropic toward mode='replace' (string replacement).
The model id rides on RuntimeMode; unknown families keep neutral wording.
- Skill index — non-coding skill categories are pruned from the prompt's
skill index (discovery-only; skills_list/skill_view still reach the full
catalog, with a disclosure note).
- Toolset — only under the opt-in 'focus' mode does the posture collapse to
the coding toolset + enabled MCP servers; the default posture is
prompt-only and never overrides configured toolsets.
Activation via agent.coding_context: auto (default), focus, on, off.
Subagents inherit the posture for free via toolset inheritance + the shared
prompt builder. Detection is not memoized so a long-lived gateway/TUI
process can't pin a stale posture across working directories.
* feat(agent): cover new-file authoring in the coding edit-format nudge
The per-model edit-format guidance only addressed editing existing code
(patch mode='patch' vs 'replace'), but authoring a brand-new file —
write_file, not patch — is a large fraction of real coding work and the
nudge was silent on it. Surfaced when building a single-file artifact where
the dominant operation was write_file and the steering offered no guidance.
Both family lines now lead with "author new files with write_file; for
edits to existing code prefer ...". Tests assert write_file appears in each
family's brief; unknown families still get neutral wording.
* docs(agent): correct memoization docstring + clarify TUI config-load asymmetry
* feat(agent): sharpen the coding posture — verify-loop facts, wider edit steering, $HOME guard
Tuning pass on the coding posture from dogfooding it as a harness:
- Workspace snapshot now hands the model its verify loop up front:
detected manifests + package manager (lockfile sniff), the exact
verify commands (package.json scripts, Makefile targets,
scripts/run_tests.sh, pytest config), and which context files
(AGENTS.md / CLAUDE.md / .cursorrules) exist at the root. Marker-only
(non-git) projects get the snapshot too instead of nothing. The
"verify before claiming done" brief line was the highest-value piece
in evals — this turns it from advice into an executable loop instead
of making the model rediscover the test command every session. Still
stat-cheap, size-guarded reads, built once at prompt time.
- Edit-format steering covers the families Hermes actually serves:
Gemini and open-weight coding models (DeepSeek, Qwen, Kimi, GLM,
Grok, Hermes, Llama, Mistral, Devstral, MiniMax) steer to
mode='replace' — their RL scaffolds use str_replace-style editors.
Previously only GPT/Codex and Claude families got steering; the
models Hermes users disproportionately run all fell to neutral.
- Operating brief gains four behaviors elite harnesses encode: batch
independent reads/searches in one turn; fix root causes and the bug
class (sibling call paths), not the reported site; no drive-by
refactors/renames/reformatting; never read, print, or commit secrets.
Plus a patch-failure escalation ladder: after the same region fails
twice, rewrite the enclosing function/file with write_file instead of
a third patch attempt.
- $HOME dotfiles guard: a git repo rooted exactly at the home directory
(or a marker sitting in it, e.g. a global ~/AGENTS.md) is user config,
not a code workspace — without the guard, every session anywhere under
a dotfiles-managed home silently flipped to the coding posture. Real
projects under such a home still detect via their own markers/repos;
'on' mode bypasses the guard.
Drop the hermes_state.py column + persistence plumbing from the salvaged
interleaved-thinking fix. The ordered-block channel covers the failure
window in-memory (turn replayed within the live conversation loop). A
session reloaded from disk after a crash falls back to reconstruction;
if that replay 400s, the thinking-signature recovery (#43667) strips
reasoning_details and retries — one degraded call in a rare resume path
instead of a schema column. Replaces the DB-roundtrip test with a
fallback-shape test.
Two additive hardening changes on the interleaved-thinking replay path
introduced by this PR's anthropic_content_blocks channel. Both are scoped
to that channel's blast radius; neither changes correct behavior.
1. Replay-time tool-input re-sourcing (credential safety).
The ordered-block channel captures each tool_use `input` from the RAW
API response in normalize_response, which is NOT credential-redacted.
The parallel tool_calls[].function.arguments IS redacted at storage
time (build_assistant_message, #19798). The verbatim-replay fast path
in _convert_assistant_message replayed the raw block input, so a secret
a model inlined into a tool call (e.g. an Authorization header value
passed inside a terminal command) would ride back onto the wire even
though it is redacted everywhere else in history. Re-source tool_use
input from the redacted tool_calls map by
sanitized id; interleave order (the reason this channel exists) is
unaffected. Adapted from #36071, which re-sources tool inputs the same
way on its replay path.
2. Broaden the thinking-replay 400 classifier (defense-in-depth).
error_classifier only matched "signature" + "thinking", so the
frozen-block variant — "thinking ... blocks in the latest assistant
message cannot be modified. These blocks must remain as they were in
the original response." — carried no "signature" token and fell through
to a non-retryable abort. The anthropic_content_blocks channel prevents
the reorder that triggers this 400 at the source, but if any future
mutator reintroduces it, the turn now self-heals via the existing
strip-reasoning-and-retry recovery instead of crash-looping. A negative
case ensures an unrelated "cannot be modified" 400 (no "thinking") is
not swept in. Mirrors the classifier broadening in #36087 and #36071.
Tests
- tests/agent/test_anthropic_thinking_block_order.py: a replay test
asserting an inlined secret is redacted on the wire while interleave
order is preserved.
- tests/agent/test_error_classifier.py: three cases — frozen-block 400
native and via OpenRouter route to thinking_signature/retryable; an
unrelated "cannot be modified" 400 does not.
Both grafts verified RED (tests fail with the change reverted) then GREEN.
Full adapter, transport, classifier and output-field-leak suites pass.
Co-authored-by: AlexanderBFoley <92330381+AlexanderBFoley@users.noreply.github.com>
HTTP 400 "messages.N.content.M.text.parsed_output: Extra inputs are not
permitted" on the native Anthropic transport. Anthropic SDK 0.87.0 response
blocks carry output-only attributes the Messages *input* schema forbids: text
blocks get `parsed_output` and `citations=None`, tool_use blocks get `caller`.
normalize_response captured blocks verbatim via _to_plain_data and replayed
them as request input on the next turn, so the forbidden fields leaked back ->
400. Like the earlier thinking-block bug, one poisoned turn wedges every
subsequent request in the session (even the diagnostic turn), recoverable only
by switching models or deleting the session.
This is a defect in the anthropic_content_blocks channel added for the
interleaved-thinking fix: it preserved block ORDER correctly but copied every
SDK attribute, including output-only ones.
Fix — whitelist input-permitted fields per block type at all three leak points:
- agent/transports/anthropic.py normalize_response: sanitize at CAPTURE so the
poison never persists to state.db (defence-in-depth).
- agent/anthropic_adapter.py _sanitize_replay_block (new): whitelist used on the
ordered-blocks replay path; also recovers already-poisoned stored sessions.
- agent/anthropic_adapter.py _convert_content_part_to_anthropic: a stored
`text` part is rebuilt from whitelisted fields instead of dict(part) verbatim
(this was the exact content.N.text.parsed_output failure locus).
Whitelist not blacklist, so future SDK output-only fields can't reintroduce it.
Block order and thinking-block signatures are preserved (the reason the channel
exists). Adds tests/agent/test_anthropic_output_field_leak.py; full adapter
suite green (163 tests). Existing poisoned state.db rows scrubbed out-of-band.
Interleaved-thinking turns (adaptive thinking, Claude 4.6+/Opus 4.8) emit
content blocks like:
thinking_1(signed) tool_use_1 thinking_2(signed) tool_use_2
Anthropic signs each thinking block against the turn content preceding it
at its position. normalize_response split the turn into two parallel lists
(reasoning_details + tool_calls), discarding cross-type order, and
_convert_assistant_message rebuilt it as [all thinking][text][all tool_use].
That moved thinking_2 ahead of tool_use_1, invalidating its signature, so
Anthropic rejected the latest assistant message with HTTP 400:
messages.N.content.M: `thinking` or `redacted_thinking` blocks in the
latest assistant message cannot be modified.
Observed repeatedly in agent.conversation_loop against api.anthropic.com /
claude-opus-4-8, recurring across sessions on multi-thinking-block turns.
Fix: carry a verbatim, order-preserving copy of the turn's content blocks
(anthropic_content_blocks) end-to-end - capture in normalize_response,
persist/restore through state.db, and replay unchanged for the latest
assistant message. Gated to turns that actually interleave signed thinking
with tool_use, so normal turns are unaffected.
Adds 3 regression tests including a SQLite round-trip covering the
crash-recovery reload path.
Make Parallel the web search/extract backend with a zero-setup free tier:
- Keyless (no PARALLEL_API_KEY): web_search/web_extract work out of the box via
Parallel's free hosted Search MCP (search.parallel.ai/mcp), and parallel
becomes the default backend when no other web credentials are configured
(ahead of ddgs, which is search-only). A small hand-rolled Streamable-HTTP
JSON-RPC client speaks the MCP's web_search/web_fetch tools; the existing
web_search/web_extract tools are the only tools registered.
- Keyed (PARALLEL_API_KEY set): uses the Parallel v1 REST endpoints
(client.search / client.extract with advanced_settings.full_content) — no beta.
Bumps parallel-web 0.4.2 -> 0.6.0.
- Attribution: on the free path only, results carry provider/attribution and the
CLI tool line reads "Parallel search" / "Parallel fetch"; the paid path is
unbranded.
- Selection/registration: web tools register unconditionally (free MCP backstop)
while check_web_api_key remains a real usability probe; explicit per-capability
backends are honored (so misconfig surfaces) rather than masked by the fallback.
Tested: live web_search/web_extract against search.parallel.ai in keyless and
keyed modes; unit suites for the MCP client, backend selection, and display
labeling; full agent run shows the "Parallel search" label on the free path.
* fix(streaming): stop socket read timeout from preempting stale-stream detector
The stale-stream detector is deliberately scaled to 180-300s so reasoning
models (e.g. Opus) can pause mid-stream during extended thinking. But the
httpx socket read timeout stayed at a flat 120s for cloud providers and fired
first, tearing down healthy reasoning streams before the detector (which owns
retry + diagnostics) could act. Symptom: every Copilot/Opus turn dies with
ReadTimeout at a consistent ~125s and never completes.
Floor the cloud socket read timeout at the stale-stream timeout so it can no
longer fire before the detector. Local providers and explicit
HERMES_STREAM_READ_TIMEOUT / request_timeout_seconds overrides are unchanged.
* test(streaming): pin read-timeout >= stale-stream invariant for cloud reasoning streams
Cover the contract that the httpx socket read timeout is never shorter than
the stale-stream detector for cloud providers on the default: small contexts
floor to 180s, >=50K to 240s, >=100K to 300s; explicit overrides win; local
providers and the unresolved-value fallback are unaffected.
Anthropic returns a 400 when the thinking/redacted_thinking blocks in the
latest assistant message are mutated upstream: 'thinking or redacted_thinking
blocks in the latest assistant message cannot be modified. These blocks must
remain as they were in the original response.'
The classifier's thinking_signature branch only matched on the substring
'signature', so this variant fell through to a non-retryable client error
and hard-aborted the turn -- even though the existing strip-reasoning_details
-and-retry recovery would have healed it.
Broaden the 400 match to also catch 'cannot be modified' / 'must remain as
they were' (still gated on 'thinking'), routing it to the same recovery.
Adds a negative-case test so unrelated 'cannot be modified' 400s are not
swept in.
Defense-in-depth, orthogonal to the root-cause work in #35975 / #17861
(which prevent the block mutation in the first place). Only changes a
terminal-failure into a one-shot recovery.
Signed-off-by: Ian Culling <ian@culling.ca>
Rebased onto current main and re-ported across the restructured
surfaces: model flows now thread confirm_provider/base_url/api_key
through hermes_cli/model_setup_flows.py, the Discord picker lives in
plugins/platforms/discord/adapter.py, and the web dashboard picker
applies chat-mode switches via config.set so the expensive-model
confirmation can ride the response.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
A GPT-5 model rejecting max_tokens returns a 400 whose message contains the
literal substring 'max_tokens' — one of the _CONTEXT_OVERFLOW_PATTERNS. The 400
path in _classify_400 checked overflow patterns before any request-validation
check (which only existed on the 5xx path), so the parameter error was routed
into the compression loop, re-sent with the same bad param, and ended in
'Cannot compress further' on a tiny context.
Hoist a request-validation guard (unsupported/unknown parameter) above the
context-overflow check in _classify_400. Deliberately excludes the generic
invalid_request_error code, which OpenAI also stamps on real overflow 400s, so
genuine overflows still compress. Pairs with the max_completion_tokens param
fix that stops the bad request at the source.
Also adds AUTHOR_MAP entry for the salvaged PR #13902 commit.
Third-party OpenAI-compatible endpoints (self-hosted gateways, OpenRouter,
Azure proxies) fronting gpt-4o / gpt-4.1 / gpt-5+ / o1-o4 models silently
received max_tokens and 400'd with unsupported_parameter, because the three
kwarg-selection sites only checked base_url_hostname(...) == "api.openai.com"
and fell through to max_tokens on every other host. The constraint is
enforced server-side by the model family, not by the URL, so name-based
detection is required as a fallback.
Changes:
- utils.py: new shared helper model_forces_max_completion_tokens(model) that
prefix-matches gpt-4o, gpt-4.1, gpt-5, o1, o3, o4 families on normalized
(lowercased, vendor-prefix-stripped) names.
- run_agent.py: _max_tokens_param ORs the helper into the URL check.
- agent/auxiliary_client.py:
- auxiliary_max_tokens_param gains an optional keyword-only model arg.
- _build_call_kwargs inline branch applies the same check for both
provider == "custom" and non-custom paths.
Tests:
- tests/test_model_forces_max_completion_tokens.py: 31 new cases covering
positive families, negatives (classic gpt-4, claude, llama, mistral, qwen,
deepseek), vendor prefixes, case-insensitivity, whitespace, None/empty,
and substring-not-prefix guards.
- tests/run_agent/test_run_agent.py::TestMaxTokensParam: 5 new model-based
cases (custom + gpt-5.4, openrouter + gpt-4o-mini, custom + o1-preview,
classic gpt-4-turbo keeps max_tokens, llama3 keeps max_tokens).
- tests/agent/test_auxiliary_client.py::TestAuxiliaryMaxTokensParam: new
class, 7 tests covering the URL x model matrix.
A binary @file: ref (PDF, docx, spreadsheet, …) expanded to a bare
"binary files are not supported" warning with no content. The model saw a
failure and gave up — e.g. a dropped PDF came back as a text note claiming the
type was unsupported, even though the file was staged on disk right next to it.
Inject an actionable content block instead: the path, mime type, size, and a
nudge to use its tools to read/convert/view the file (and explicitly not to tell
the user the type is unsupported). General across every binary type — not
PDF-specific. The file already resolves where the agent's tools run (local cwd
or the staged copy in a remote session workspace), so it can act on it directly.
New Anthropic models without a recognized version substring (claude-fable-5
and future named/numbered releases) were classified as legacy and routed down
the manual-thinking path, which made OpenRouter emit thinking.type.disabled —
a form reasoning-mandatory Claude models reject with a non-retryable HTTP 400.
Invert the brittle version-substring allowlists to default-to-modern (mirroring
_get_anthropic_max_output): unknown Claude models get the adaptive/xhigh/
no-sampling contract, with an explicit legacy list for older families. Non-Claude
Anthropic-Messages models (minimax, qwen3, …) keep the manual path.
- anthropic_adapter: _supports_adaptive_thinking / _supports_xhigh_effort /
_forbids_sampling_params now default unknown Claude models to modern; legacy
families enumerated in _LEGACY_MANUAL_THINKING_CLAUDE_SUBSTRINGS.
- openrouter profile: omit reasoning entirely (→ adaptive default) instead of
forwarding {enabled:false} for reasoning-mandatory Anthropic models; legacy
Anthropic + all non-Anthropic models still pass the disable form through.
- model_metadata + output-limit table: register claude-fable-5 (1M ctx, 128K out).
Tests assert the invariant ("unknown Claude model -> modern contract; legacy
stays manual; non-Claude unaffected"), not specific model names.
OpenRouter-routed slugs that are absent from models.dev (e.g. a freshly
shipped anthropic/claude-fable-5) fell through to the generic
DEFAULT_CONTEXT_LENGTHS["claude"]=200K entry and under-reported their real
1M window. The step-6 OpenRouter live-metadata fallback was gated on
`not effective_provider`, but an OpenRouter selection sets
effective_provider="openrouter" (inferred from the base URL), so that
branch was dead code for every OR model.
Add a dedicated step-5 OpenRouter branch that consults the live /models
catalog (authoritative, refreshes as new slugs ship) before models.dev and
the hardcoded family defaults — mirroring the existing Nous/Copilot/GMI
branches. Keeps the Kimi-family 32k underreport guard. Per-model values are
respected (claude-haiku-4.5 stays 200K), so it does not blanket-bump to 1M.
Regression tests cover the fable-5 case, the genuinely-200k case, and the
Kimi guard.
A Responses-API-shaped payload carrying instructions=/input=/store=/
parallel_tool_calls= can reach the native Anthropic messages.stream() /
messages.create() call under a rare api_mode-flip race (e.g. a concurrent
auxiliary vision call mutating a shared agent between the kwargs build and
the stream dispatch). The Anthropic SDK rejects these with a non-retryable
TypeError that kills the whole turn and propagates the entire fallback chain.
Add sanitize_anthropic_kwargs() at both Anthropic dispatch sites: it drops
the Responses-only keys in place and logs a WARNING (with #31673 breadcrumb)
when one is present, so the underlying race stays visible in the wild
instead of being silently papered over.
When agent.interrupt() fires during an active LLM call, the main poll loop
force-closes the worker-local httpx client to stop token generation. That
raises a transport error (RemoteProtocolError) on the worker thread — the
EXPECTED consequence of our own close, not a network bug.
The streaming retry loop misclassified it as a transient connection error
and retried; each doomed retry stalled for the full stream-stale timeout
(up to 300s). Because the gateway caches AIAgent instances per session, the
stale worker outlived the interrupted turn and raced the next turn's request
on shared client state — the root of the multi-minute cascading-interrupt
hang reported in the wild.
Fix: a request-local _request_cancelled token set by the poll loop right
before the force-close, in both interruptible_api_call (non-streaming) and
interruptible_streaming_api_call. The worker's exception handler checks the
token and exits cleanly — no retry, no fallback, no 'reconnecting' status —
instead of treating the forced error as transient. The token is request-
local (not agent._interrupt_requested, which is cleared at turn boundaries)
so a stale worker outliving its turn still recognizes its own forced close.
Original diagnosis and fix by @kristianvast (PR #6600), against the then-
inline methods in run_agent.py. Those were since extracted into
agent/chat_completion_helpers.py, so the fix is reapplied there.
Co-authored-by: Kristian Vastveit <kristianvast@users.noreply.github.com>
A misconfigured/slow external memory provider could hold the agent in
the 'running' state for minutes after the final response was delivered.
MemoryManager.sync_all / queue_prefetch_all looped provider.sync_turn /
queue_prefetch INLINE on the turn-completion path; a provider making a
blocking network/daemon call (a broken Hindsight daemon was observed
blocking ~298s before failing) blocked run_conversation from returning.
Because every interface (CLI, TUI, gateway) marks the agent 'running'
until run_conversation returns, the agent stayed busy for the full block
and any follow-up message triggered an aggressive interrupt that dropped
the message.
Dispatch provider sync/prefetch to a lazily-created single-worker
background executor. sync_all / queue_prefetch_all return immediately;
work completes (or fails, logged) in the background. A single worker
serializes writes so turn N lands before turn N+1. flush_pending()
provides a barrier for session boundaries and deterministic tests.
shutdown_all() drains the executor with a bounded timeout so a wedged
provider can never hang teardown.
Builtin-only / no-provider sessions spawn no executor (zero new threads
in the common case).
A one-off transient transport failure (streaming-close / incomplete
chunked read / 5xx / 408) on an auxiliary LLM call escalated straight to
provider/model fallback (or, for context compression, dropped the summary
and entered cooldown), even when an immediate retry on the same provider
would have succeeded.
Add a single same-target retry at the top of call_llm() and
async_call_llm() — before the existing except-chain — gated on a new
_is_transient_transport_error() that reuses the canonical
_is_connection_error() detector plus a 5xx/408 status check. A second
failure (or any non-transient error: auth, other 4xx, malformed payload)
falls through to first_err and the existing fallback handling unchanged.
This lives in call_llm so every auxiliary task (compression, memory flush,
title generation, session search, vision) shares one transient-retry
surface, rather than each caller re-implementing it. The context
compressor needs no change — it calls call_llm and inherits the retry; its
existing fallback-to-main path (#18458) now composes naturally (retry the
aux model once, then fall back to main only if the retry also fails).
Co-authored-by: ARegalado1 <alberto.regalado@ymail.com>
run_conversation's inner retry loop tracked recovery state in ~15 scattered
bare booleans (per-provider OAuth refresh guards, format-recovery guards,
restart signals). They are now fields on a single TurnRetryState dataclass the
loop mutates in place (_retry.<flag>), giving the recovery bookkeeping a named,
testable home.
Loop-control vars (retry_count, max_retries, max_compression_attempts) stay as
plain locals — they're while-mechanics, not recovery bookkeeping.
Behavior-neutral: pure local→attribute rewrite of 42 references; kwarg NAMES
preserved (e.g. has_retried_429=_retry.has_retried_429). Live simple + tool
turns OK.
Validation: tests/run_agent/ 1615 passed / 0 failed under per-file process
isolation; new test_turn_retry_state.py pins the field contract.
When context compaction rotates agent.session_id, it updates the gateway/tools
session context (set_current_session_id -> HERMES_SESSION_ID env + ContextVar)
but never updates the separate logging session context. The [session_id] tag on
log lines comes from hermes_logging._session_context (set once per turn in
conversation_loop.py), so post-compaction log lines in the same turn carry the
STALE old id while the message/DB/gateway state carry the new one — breaking log
correlation exactly at the compaction boundary.
Call hermes_logging.set_session_context(agent.session_id) alongside the existing
set_current_session_id, guarded so a logging failure can't regress the routing
update. Logs-only; no runtime or caching impact.
Refs #34089
The curator's idle-archival path (apply_automatic_transitions under
prune_builtins) could archive the bundled `plan` skill, killing the
/plan slash command silently — typing /plan then returned 'Unknown
command' with no signal that a skill had vanished. The archived skill's
hash stays in .bundled_manifest, so 'hermes update' wouldn't re-seed it.
Add PROTECTED_BUILTIN_SKILLS ({plan}) enforced at the master gate
is_curation_eligible() (covers archive_skill + the transition walk) and
in the candidate enumerator (so the LLM consolidation pass never sees
them). Immune to prune_builtins, pin state, and LLM judgment.
The auxiliary Codex adapter maintained its own chat->Responses conversion
loop that forwarded every non-system message's role verbatim into
Responses input[]. When flush_memories()/compression replayed session
history containing assistant tool_calls + role=tool results, those tool
messages leaked into the request and the Responses API rejected them with
HTTP 400: Invalid value: 'tool'.
Route _CodexCompletionsAdapter.create() through the same shared converter
the main agent transport uses (_chat_messages_to_responses_input), so tool
calls become function_call items and tool results become function_call_output
items with a valid call_id. Single conversion path means no future drift.
Also remove the now-dead _convert_content_for_responses() helper — its only
caller was the private conversion loop this change deletes.
Co-authored-by: ProgramCaiCai <techxacm@gmail.com>
Phase 1 of the god-file decomposition plan. run_conversation's ~470-line
once-per-turn setup block (stdio guarding, retry-counter resets, user-message
sanitization, todo/nudge hydration, system-prompt restore-or-build,
crash-resilience persistence, preflight compression, the pre_llm_call hook, and
external-memory prefetch) is moved verbatim into build_turn_context(), which
returns a TurnContext dataclass the loop unpacks.
Behavior-neutral move-and-name refactor: the builder mutates `agent` exactly as
the inline code did; only the locals the loop reads back are returned.
- run_conversation: 4602 -> 4217 LOC (-385)
- agent/conversation_loop.py: 4965 -> ~4580 LOC
- new agent/turn_context.py: focused, dependency-injected, unit-tested in isolation
Tests: tests/run_agent/ 1570 passed / 0 failed under per-file process isolation.
Relocation follow-ups: 413_compression mocks now patch both module references;
nudge/on_turn_start source-inspection guards point at the extracted module.
When a cron or background session compacts, it sets _previous_summary for
iterative updates. If that session ends without /new or /reset (which calls
on_session_reset()), the stale summary survives on the ContextCompressor
instance. A subsequent live messaging session's compaction then injects it as
'PREVIOUS SUMMARY:' into the summarizer prompt — contaminating the live
session with unrelated content from the prior session.
Add an else guard in compress(): when no handoff summary is found in the
current messages but _previous_summary is non-empty, discard it so
_generate_summary() starts fresh instead of iteratively updating a stale
cross-session summary.
Fixes#38788
The per-session compression lock prevents same-window concurrent forks but
not cross-turn ones: the background-review fork shares the parent's
session_id, so if it won a compression race its new child session was never
adopted by the gateway (the fork is single-lifecycle). The next foreground
turn then started from the stale parent and compressed it again, leaving the
same parent with two sibling children.
Set review_agent.compression_enabled = False so the fork never triggers
compression. Both trigger sites in conversation_loop.py gate on
compression_enabled before calling _compress_context, so the fork can never
rotate the shared parent. Review needs full context anyway — compressing
would degrade the memory/skill summary.
The per-session lock is kept as defense-in-depth for any future shared-session
path. Adds a regression test that fails without the flag and passes with it.
Closes#38727
Problem: get_model_context_length() had an early return at the end of the
custom-endpoint probe branch (step 3) that returned DEFAULT_FALLBACK_CONTEXT
(256K) without ever consulting the hardcoded DEFAULT_CONTEXT_LENGTHS catalog
(step 8). Models served through a custom/proxied gateway (e.g. corporate
Anthropic proxy) that didn't expose Ollama or local-server endpoints would
hit this path and get capped at 256K, even when the model name clearly
matched a known entry in the catalog (e.g. claude-opus-4-8 → 1M).
Changes:
- agent/model_metadata.py: Before returning DEFAULT_FALLBACK_CONTEXT at the
end of the custom-endpoint branch, consult DEFAULT_CONTEXT_LENGTHS using
the same longest-key-first fuzzy matching as step 8. Only fall through
to 256K if no catalog entry matches.
- tests/agent/test_model_metadata.py: Updated existing test and added new
test covering the custom-endpoint → catalog fallback behavior.
Fixes#38865
_supports_vision_override() in image_routing.py checked model.supports_vision
and providers.<name>.models, but not the legacy list-style custom_providers
config. A custom provider entry like:
custom_providers:
- name: my-provider
models:
my-model:
supports_vision: true
was ignored, causing image_input_mode=auto to route through the auxiliary
vision_analyze path instead of natively attaching images.
Fix: added a lookup step for custom_providers list entries, matching by
provider name (including 'custom:<name>' variants at runtime).
providers.<name>.models still takes precedence over custom_providers.
13 new tests covering: true/false override, custom: prefix matching,
no-match fallback, non-dict entries, empty lists, models key missing.
* feat(onboarding): opt-in structured profile-build path on first contact
On a user's very first gateway message, Hermes now optionally offers to
build a short profile of them — then, only with consent, gathers durable
facts and persists them to the user-profile memory store (memory tool,
target="user") so future sessions start already knowing who they are.
Inspired by Poke's zero-input onboarding, but consent-first by design:
- The agent OFFERS, never assumes. Declining stops it immediately.
- Before ANY external lookup it states what it will look up and asks.
- It never reads connected accounts (email/calendar) silently — the
exact privacy concern that made naive implementations feel invasive.
Wiring reuses existing infrastructure end-to-end:
- gateway/run.py first-message hook (was a plain self-intro) now swaps in
the profile-build directive when enabled and not yet offered.
- agent/onboarding.py gains profile_build_mode()/profile_build_directive()
+ PROFILE_BUILD_FLAG, latched once via the existing onboarding.seen
mechanism so the offer fires at most once per install.
- config default onboarding.profile_build: "ask" (set "off" to disable).
Added to an existing section, so no _config_version bump needed.
No new storage layer, no new injection path, no prompt-cache impact.
* fix(dashboard): fold onboarding into agent tab to avoid 1-field category
onboarding.profile_build is the only schema-surfaced onboarding field
(onboarding.seen is an internal latch dict), so the dashboard CONFIG_SCHEMA
single-field-category invariant rejected it. Merge onboarding -> agent like
the other small categories.
Compaction summaries now receive the current date and instruct the
summarizer to rewrite completed actions as absolute, dated, past-tense
facts (e.g. "email John about the proposal" -> "Sent the proposal email
to John on 2026-06-07"). A resumed conversation no longer re-issues work
that already happened or treats a finished action as still pending.
The date is resolved via hermes_time.now() (date-only, user-configured
timezone) inside _generate_summary. The compaction summary is a
mid-conversation message that is never part of the cached prefix, so the
date does not affect prompt-cache stability. Date resolution is
best-effort: a clock failure omits the rule rather than blocking
compaction. The rule rides the shared template, so both first-compaction
and iterative-update prompts carry it.
Inspired by Poke's summarization (temporal anchoring + semantic
preservation).
The salvaged main-agent fix (sanidhyasin) applies model.default_headers
to the primary OpenAI client, but the auxiliary client (title generation,
context compression, vision routing) builds its own clients and did not
read the override. For a `provider: custom` endpoint behind a gateway/WAF
that rejects the OpenAI SDK's identifying headers, the main turn would
succeed while auxiliary calls to the same endpoint still failed with the
opaque 502/4xx from #40033.
Add agent.auxiliary_client._apply_user_default_headers() (user values win
over provider/SDK defaults; no-op when unconfigured) and apply it at every
OpenAI-wire client construction site:
- _try_custom_endpoint() — config-level `model.provider: custom`
- the named custom-provider branch (custom_providers/providers entries),
including the anthropic-SDK-missing OpenAI-wire fallback
- the api-key-provider, async-conversion, and main resolve_provider_client
fallback branches
To prevent the two clients ever drifting on precedence/value handling,
AIAgent._apply_user_default_headers (run_agent.py) now delegates the config
read + merge to this shared helper (run_agent already imports from
auxiliary_client). Native Anthropic/Bedrock branches are untouched (they
don't use the OpenAI wire).
8 new tests (helper semantics + config-level custom + named custom);
full aux + attribution header suites green (295).
compress_context() sets last_prompt_tokens=-1 right after compression to
mark "no real API usage yet". The preflight display-seed used
`_preflight_tokens > (last_prompt_tokens or 0)`, and `(-1 or 0)` is -1
(truthy), so any positive rough estimate clobbered the sentinel with a
schema-inflated count — re-triggering compression on the next turn.
Treat any negative value as "no real data yet" and skip the seed.
Salvaged from #40246 as the minimal root-cause fix. The original also
added an `_awaiting_suppression_count` bounded-window state machine to
should_compress() across 3 files; left out here to keep blast radius
small — the sentinel guard alone fixes the re-fire. The suppression
window can be added separately if the usage=None-stub edge case warrants it.
Co-authored-by: davidgut1982 <davidgut1982@users.noreply.github.com>
The ChatGPT Codex OAuth backend hard-caps gpt-5.5 at a 272K context window
(verified live: a ~330K-token request to chatgpt.com/backend-api/codex/responses
is rejected with context_length_exceeded while ~250K succeeds; the same slug
exposes 1.05M on the direct OpenAI API / OpenRouter and 400K on Copilot). At the
default 50% trigger, auto-compaction fires at ~136K — half the usable window.
Raise the trigger to 85% (~231K) on this exact route only, gated by a new
compression.codex_gpt55_autoraise config flag (default true). When it fires,
emit a one-time notice (CLI inline print + gateway status_callback replay) with
the exact opt-back-out command. gpt-5.5 on any other provider keeps the user's
global threshold.
- _is_codex_gpt55() matches the 5.5 family only on provider=openai-codex
- _compression_threshold_for_model() now provider-aware + opt-out param
- config key + _config_version bump (27->28) for backfill
- docs + tests (40 cases in test_arcee_trinity_overrides.py)
* feat(tui): HERMES_DEV_CREDITS live-spend dev readout (L0 tracer for usage-aware credits)
L0 of the usage-aware-credits feature: a dev-only, env-gated tracer that
exercises the real header -> CreditsState -> TUI pipe end-to-end behind
HERMES_DEV_CREDITS, de-risking the L1/L5 build before the notice policy exists.
- agent/credits_tracker.py: CreditsState + parse_credits_headers (headers are
strings -> paid_access via == "true", never bool(); retain-last-known; only
subscription_micros may be negative; *_usd kept verbatim).
- run_agent.py: _capture_credits / get_credits_state / get_credits_spent_micros,
session-start baseline latch, + dev-gated "credits" capture log.
- agent/chat_completion_helpers.py: capture on the streaming response.
- agent/agent_init.py: init _credits_state + _credits_session_start_micros.
- tui_gateway/server.py: _get_usage emits dev_credits_spent_micros only when flagged.
- ui-tui appChrome.tsx / types.ts: cents delta status segment + "(dev credits)" banner.
Off by default; silent for normal users. Validated live against staging
(capture log delta matches the TUI segment). Throwaway consumer (readout/log/
banner); credits_tracker + the capture plumbing are the real feature foundation.
* test(credits): lock parser under 9-state matrix + harden validation (L2)
Add tests/agent/test_credits_tracker.py with 92 tests covering the 9-state
matrix (healthy, sub_90pct, grant_exhausted, purchased_only, tool_pool_free,
depleted, debt, missing, no_org) plus validation edge cases: version strict==1
with warn-once latch for v>1, bool-string trap (paid_access/tool_pool_gated_off
== "true"/"false", never bool()), half-pair subscription limit treated as
both-absent while parse succeeds, USD regex ^-?\d+\.\d{2}$, non-int micros
→ None, negative non-subscription micros → None, as_of_ms junk → None, zero
limit ZeroDivision guard.
Harden agent/credits_tracker.py to match the spec:
- Add tool_pool_micros/tool_pool_gated_off/from_header fields to CreditsState
- Add depleted property (== not paid_access, never remaining==0)
- Change used_fraction guard to key off subscription_limit_micros (the actual
denominator) not denominator_kind (metadata)
- Replace fail-soft _safe_int with a sentinel-returning variant; full validation
now returns None on any malformed field rather than silently defaulting
- Add module-level warn-once latch for version > 1
- Add USD regex validation; add denominator_kind allow-list check
- Parse x-nous-tool-pool-* prefix headers (not x-nous-credits-tool-pool-*)
* feat(credits): notice spine — AgentNotice + notice_callback/notice_clear_callback + TUI binding (L1)
L1 of usage-aware credits: the driver-agnostic notice delivery spine that L4's
policy will fire through and L5's TUI render will consume.
- agent/credits_tracker.py: AgentNotice dataclass (text/level/kind/ttl_ms/key/id;
kind defaults "sticky", kept TTL-expressive for a future config seam).
- run_agent.py: AIAgent gains notice_callback + notice_clear_callback slots and
_emit_notice / _emit_notice_clear emitters (swallow all callback errors — a
notice must never break the agent loop; no-op when unbound).
- agent/agent_init.py: thread both callbacks through init_agent.
- tui_gateway/server.py: bind both in _agent_cbs → notification.show / notification.clear
WS events (snake_case payload, matching the existing gateway-event convention).
- ui-tui/src/gatewayTypes.ts: notification.show / notification.clear arms on GatewayEvent.
- tests/run_agent/test_notice_spine.py: 15 tests (emitter fire + fail-open + no-op,
signature threading, TUI binding payload shape).
Messaging push is out of v1 (binds neither callback). CLI binding + the TUI render/
decode land with L4 (firing) and L5 (render) so turn-end flush is wired correctly.
* feat(credits): threshold reconciliation policy + tests (L4.1)
* feat(credits): wire threshold policy into capture + latch (L4.2)
After a fresh header parse, _capture_credits runs evaluate_credits_notices against
the agent's _credits_latch and emits the result — clears first, then shows (so a
recovered depletion clears before the "restored" success lands, and depleted wins
the latest-wins slot). Gated on a bound notice_callback: messaging (no callbacks)
still caches state for /usage but runs no policy. Parse stays fail-open (miss →
keep last-known); the eval/emit path warns on failure rather than swallowing, so a
depletion-notice bug can't vanish silently.
- run_agent.py: _capture_credits split into parse (swallow→miss) + policy (warn);
latch lazy-guarded (object.__new__ safety).
- agent/agent_init.py: init agent._credits_latch = {"active": set(), "seen_below_90": False}.
* feat(tui): render credits notices in the status bar (L5, Strategy B)
The TUI now renders the notification.show / notification.clear gateway events the
agent emits — a level-colored notice overrides the status/verb slot when not busy.
- Notice state machine on turnController (pendingNotice + dedicated noticeTimer +
show/clear/applyNotice/flushPendingNotice/clearNoticeState). createGatewayEventHandler
decodes the events and delegates.
- Render priority busy > notice > status (appChrome StatusRule); notice text rendered
verbatim (its glyph comes from the policy), shrinkable so it never clips model│ctx;
dev-credits banner + Δ segment preserved. UiState.notice is snake_case (matches wire).
- Busy-wins: a notice arriving mid-turn is held and flushed at the THREE turn-end sites
(recordMessageComplete / interruptTurn / recordError) — never idle(), which reset()
also calls (would leak across sessions); reset() clears instead.
- Dedicated noticeTimer (never statusTimer); TTL starts on visibility with an id-guard;
latest-wins cancels the prior timer; clear is key-matched (no-op on mismatch); a sticky
survives a turn (flush no-ops with no pending); session reset clears (no cross-session leak).
- 20 tests (handler/turnController logic incl. R3-C2 timer isolation + render priority).
* feat(credits): cold-start seed for new Nous sessions (L3)
A genuinely-new Nous session has no inference header yet, so seed credits state from
the authoritative GET /api/oauth/account snapshot at session start (in the new-session
branch of _restore_or_build_system_prompt — inline, since the on_session_start plugin
hook gets no agent reference). The seed runs the shared notice policy, so a session that
opens already depleted warns IMMEDIATELY rather than only after the first turn.
- Maps the nested account fields (paid_service_access → paid_access; total_usable /
subscription / purchased on paid_service_access_info; rollover on subscription), each
None-guarded; float dollars → micros via round(d*1e6), *_usd left "" (render formats
from micros — never synthesize a verbatim usd from a float).
- Magnitudes-only: no monthlyCredits on the endpoint → subscription_limit_* unset →
used_fraction None → no warn90 from the seed (% only once a header lands, per D-E).
- Provider-guarded to Nous; fail-open (any error leaves _credits_state None, never
blocks startup); paid_access unknown ⇒ True (never falsely depleted).
- run_agent.py: extracted the warm-path policy/emit block into a shared
_emit_credits_notices() so capture and the seed fire notices identically.
* feat(credits): /usage Nous credits magnitudes view + recovery trigger (L6)
Add Nous credit dollar magnitudes to /usage (subscription / top-up / total
+ rollover + renewal + portal CTA), magnitudes-only per v1 (no % until the
account endpoint exposes a denominator). Reuses the existing account-usage
render machinery via a new pure build_nous_credits_snapshot() that maps a
NousPortalAccountInfo to an AccountUsageSnapshot; no nous branch is added to
fetch_account_usage (keeps the per-provider boundary intact).
CLI /usage also doubles as a depletion-recovery trigger: a force_fresh
account fetch, kept in a SEPARATE local so it never clobbers the
header-sourced agent._credits_state (which alone carries used_fraction). If
paid access recovered while credits.depleted is latched and a notice
consumer is bound, it reuses agent._emit_credits_notices() to clear it.
Gateway /usage displays magnitudes only — messaging binds no notice
consumer, so it performs no recovery emit.
Fail-open throughout: any portal hiccup leaves /usage unaffected.
* refactor(credits): dedupe HERMES_DEV_CREDITS flag parse via shared helpers
The dev-flag truthy check was inlined in three places. Replace with the shared
utils.is_truthy_value (run_agent.py, tui_gateway/server.py — also drops a
redundant inline `import os`) and a hoisted DEV_CREDITS_MODE export in
ui-tui/src/config/env.ts (consumed by appChrome, which also stops recomputing the
env check on every render). Behaviour-preserving; identical truthy set.
* fix(credits): cut dead /usage recovery trigger + bound portal fetches (L6 review)
Adversarial review found the /usage depletion-recovery trigger dead AND broken:
the CLI binds no notice_clear_callback, the TUI runs /usage in a separate
slash-worker subprocess (its own agent/latch), and the no-clobber rule made it
evaluate stale paid_access anyway. Recovery already happens on the next inference
(warm path), so the trigger was redundant — remove it and stop the depleted
notice over-promising.
- cli.py: remove the dead recovery block; bound the /usage portal fetch with a
10s wall-clock timeout (ThreadPoolExecutor) like the per-provider fetch —
urllib's per-socket timeout is not a wall-clock guarantee.
- agent/credits_tracker.py: reword the depleted CTA to "run /usage for balance"
(no false recovery promise; /usage shows fresh magnitudes, sticky clears next turn).
- agent/conversation_loop.py: same wall-clock timeout on the cold-start seed fetch
so a stalled portal can't hang session startup; tidy its time import.
* chore(credits): dev notice-state fixtures (HERMES_DEV_CREDITS_FIXTURE)
Throwaway dev scaffolding to exercise the notice pipeline without real spend or
Redis seeding. Set HERMES_DEV_CREDITS_FIXTURE to a state name (healthy / sub_90pct
/ grant_exhausted / depleted / clear) or a file path whose contents name a state
(re-read each turn → flip states live for recovery testing). _capture_credits
injects the chosen CreditsState instead of parsing real headers and runs the
shared notice policy. Deletable with the rest of the HERMES_DEV_CREDITS scaffolding.
* feat(credits): /usage monthly-grant % gauge
The portal /api/oauth/account subscription block now carries monthly_credits
(the per-period grant allowance, the % denominator). The consumer parsed
monthly_charge but dropped monthly_credits, so /usage stayed magnitudes-only.
Capture monthly_credits into NousPortalSubscriptionInfo + _subscription_from_payload.
build_nous_credits_snapshot emits a Subscription usage window (real % used, routed
through the existing render machinery) when monthly_credits is a finite positive
denominator and credits_remaining is finite and <= cap; otherwise it degrades to
magnitudes-only (older portals, rollover-over-cap, or non-finite payloads).
Guards (adversarial-review-driven): reject non-finite operands (json.loads parses
bare NaN/Infinity by default → would render $nan + a false 100% used), reject
bools, guard div-by-zero (cap>0), and suppress the gauge when remaining > cap
(rollover spanning the period makes the cap a nonsensical denominator → the
$X-of-$Y detail would read as a contradiction). Debt (remaining<0) clamps to 100%.
Money rule preserved: the ratio + magnitudes are computed from numeric float
account fields via display formatting, never by parsing a server *_usd string
(there are none on these dataclasses).
13 gauge tests added (tests/agent/test_nous_credits_gauge.py).
* fix(credits): show /usage Nous block whenever a Nous account is present
/usage runs in a slash-worker subprocess whose resolved inference provider is
often not "nous" even when the user has a Nous account, so gating the Nous
credits block on (provider == "nous") hid it entirely — the account data was
fully available but never rendered.
Gate instead on "a Nous account is logged in": a cheap local auth-state lookup
(get_provider_auth_state('nous') has an access_token) decides whether to attempt
the portal fetch, regardless of which provider inference runs on. In the gateway
the block is also lifted out of the 'if provider:' scope so a Nous-credentialled
user with another (or no) resident inference provider still sees their balance.
Fail-open and the per-fetch wall-clock timeout are preserved.
* fix(credits): show /usage Nous block when there's no live agent (TUI slash-worker)
In the TUI, /usage runs in a slash-worker subprocess that resumes the session
WITHOUT building an agent (self.agent is None), so _show_usage early-returned
"(._.) No active agent" before ever reaching the Nous credits block — which is
agent-independent (a portal fetch gated on Nous auth-state). Extract the block
into _print_nous_credits_block() and run it at the no-agent / no-calls
early-returns too (returns True if it printed, so the fallback message only
shows when there's genuinely nothing).
Verified live against staging: the block + monthly-grant gauge now render in the
slash-worker /usage path (previously hidden). The plain CLI REPL + messaging
paths are unchanged (they have a live agent).
* feat(credits): escalating 50/75/90 usage bands (single status line)
Replace the lone 90%-used warning with three escalating bands (50 info, 75 warn,
90 warn) shown as ONE status-bar line: it displays the highest band the
subscription grant has crossed, replaces the line as usage climbs, steps back
down on recovery, and clears below 50%. No stacking, no per-turn churn.
Bands live in a tunable CREDITS_USAGE_BANDS list; the policy derives everything
from it. Single notice key (credits.usage) with a usage_band latch field so the
notice only re-emits when the band actually changes. The crossing gate
(seen_below_90) is preserved so a fresh live session that opens mid-range stays
quiet until it has been observed below the lowest band (cold-start primes it when
it wants an open-high warning). Denominator math unchanged: % = subscription
grant burn (cap - grant_remaining)/cap, clamped [0,1]; top-up never moves the %.
Migrated test_credits_policy.py to the new key + added TestUsageBands (climb,
step-down, recovery-clear, idempotent, inclusive boundaries).
* feat(credits): hydrate notices at session OPEN via shared seed (TUI + first-turn)
Notices previously only fired inside a conversation turn (first message), so a
session that opened already depleted / past a usage band showed nothing at
'ready'. Extract the cold-start seed into a shared seed_credits_at_session_start()
and call it (a) in the TUI/desktop agent build right after the notice callback is
wired (fires at 'ready', before any message) and (b) as the first-turn fallback in
conversation_loop. Idempotent (skips once _credits_state exists) and fail-open.
The seed now maps monthly_credits -> subscription_limit_micros +
denominator_kind='subscription_cap', so used_fraction is computable at seed time
and usage-band warnings (not just depletion) hydrate on open. Primes the crossing
latch so a session opening already in a band warns immediately. Degrades to
depletion-only when monthly_credits is absent (older portals).
Adds test_credits_cold_start.py covering open-at-band, depletion, debt, no-cap
degradation, and the shared seed (fires/idempotent/skips-non-nous).
* feat(credits): /usage monthly-grant % gauge + fixture support + TUI surfacing
agent/account_usage.py: build_nous_credits_snapshot emits a subscription %% gauge
when the portal supplies a positive, finite monthly_credits denominator with
remaining <= cap (guards reject NaN/Infinity and rollover-over-cap, which would
render $nan or a contradictory $X-of-$Y); degrades to magnitudes-only otherwise.
Adds shared nous_credits_lines() (auth-gated, wall-clock-bounded portal fetch) so
the CLI and TUI /usage render the same block, and _snapshot_from_credits_state()
so HERMES_DEV_CREDITS_FIXTURE drives /usage offline too.
TUI: session.usage RPC carries credits_lines (agent-independent) and the /usage
panel renders them regardless of API-call count or resume state — previously the
TUI's separate /usage implementation only showed token counts.
Money rule preserved: %% and magnitudes come from numeric float account fields via
display formatting, never by parsing a server *_usd string.
* feat(credits): CLI REPL inline notices (parity with TUI)
The plain CLI agent bound no notice callbacks, so credit notices were TUI-only.
Bind notice_callback/notice_clear_callback on the CLI AIAgent; _on_notice renders
a single level-colored line above the prompt (error red / warn yellow / success
green / info dim) via _cprint, and seed credits at session open so a depletion or
usage-band warning shows before the first message — the same hydration the TUI
got. _on_notice_clear is a no-op (the REPL prints lines, no persistent slot).
* test(credits): add sub_50pct + sub_75pct dev fixtures for the new usage bands
The fixture set jumped 10%% -> 90%%; add sub_50pct (uf 0.5 -> band 50 info) and
sub_75pct (uf 0.75 -> band 75 warn) so the new escalating bands are exercisable
via HERMES_DEV_CREDITS_FIXTURE across all three surfaces (notice, session-open
seed, /usage gauge).
* fix(credits): usage-band notice clears on next prompt (not sticky-forever)
A 50/75/90 usage heads-up was sticky and camped the status bar indefinitely. Clear
the visible credits.usage notice when a new turn starts (startMessage), so it shows
until your next prompt then yields. The server latch is unchanged, so it won't
re-nag at the same band — it only re-shows when the band actually changes (climb)
or clears when usage drops below the lowest band. Depletion stays sticky.
* refactor(credits): consolidate the /usage credits block behind nous_credits_lines()
The CLI (_print_nous_credits_block) and the messaging gateway (_handle_usage_command)
each re-implemented the auth-gate + portal fetch + render, and both bypassed the
dev-fixture short-circuit that only the TUI honored — so /usage ignored
HERMES_DEV_CREDITS_FIXTURE on the CLI and in chat. Route both through the shared
agent.account_usage.nous_credits_lines() helper: one fetch/render path, one auth
gate, and the fixture works on every surface (~60 fewer duplicated lines).
The gateway usage test recorded only the last asyncio.to_thread call; /usage now
dispatches both the account fetch and the credits fetch, so it records every call
and matches the account fetch by its provider arg.
* fix(credits): keep the /usage gauge type-safe and log its fail-open path
_is_finite_num is now a TypeGuard[float], so the type checker narrows the gauge
operands (monthly_credits / credits_remaining) and the magnitudes passed to
_fmt_usd through it — no more None-operand warnings on the arithmetic. Add a debug
breadcrumb on the nous_credits_lines portal-fetch fail-open so a dead /usage block
is diagnosable in agent.log without a dev flag.
* fix(credits): harden the header tracker — prod-leak gate, hot-path probe, fire-and-forget seed
- Prod-leak guard: dev fixtures (HERMES_DEV_CREDITS_FIXTURE) now also require
HERMES_DEV_CREDITS, so a stray fixture var can't surface fabricated balances on a
real account. Matches the documented run workflow (both vars set together).
- Hot-path probe: parse_credits_headers checks for the version sentinel header
before allocating a lowercased copy of the response headers — skips that work on
every non-Nous API call. Behaviour-identical and still case-insensitive.
- Fire-and-forget seed: the real portal fetch in seed_credits_at_session_start now
runs in a daemon thread, so a slow/unreachable portal never delays session "ready"
(previously blocked up to 10s). The dev-fixture path stays synchronous; the thread
re-checks idempotency before hydrating (a live header may land first).
- Diagnostics: debug breadcrumbs on the parse and seed fail-open paths so a crashed
parser / dead seed is distinguishable from a legitimate no-headers miss.
Cold-start tests set HERMES_DEV_CREDITS alongside the fixture to match the gate.
* test(tui): fix env-timing in the StatusRule dev-credits assertion
DEV_CREDITS_MODE is read once at module load (config/env), so mutating
process.env.HERMES_DEV_CREDITS inside the test couldn't flip it — the dev-banner
assertion only passed if the env was exported before vitest started, and failed in a
normal run. Move that assertion to a sibling file that mocks config/env with
DEV_CREDITS_MODE: true (scoped, no module-reset / React-identity hazard).
* test(credits): cover the dev-fixture /usage render and usage-band clear-on-prompt
- _snapshot_from_credits_state (the offline /usage renderer) had no direct test:
lock the gauge math, the verbatim *_usd magnitudes, the depletion line and the
fixture marker, plus the no-cap (no gauge) and None-state cases.
- turnController.startMessage had no test for clearing the credits.usage notice on
the next prompt while leaving credits.depleted sticky.
* feat(credits): deliver credit notices over messaging gateways
Bind notice_callback/notice_clear_callback on the per-turn gateway agent
so usage-band / depletion / restored notices reach Telegram/Discord/Slack/
etc. Previously the messaging gateway bound neither callback, so the agent's
_emit_credits_notices early-returned and a chat user crossing a band got
nothing unless they ran /usage manually.
- render_notice_line(): AgentNotice -> single plaintext line (level glyph +
text), plaintext-only so it renders uniformly without per-platform escaping.
Fail-soft on malformed/empty notices.
- Standalone push for every notice (messaging has no persistent status bar):
route through the shared _deliver_platform_notice rail (honors private/
public delivery + thread metadata), scheduled onto the gateway loop via
safe_schedule_threadsafe from the agent's sync worker thread — same pattern
as _status_callback_sync.
- The fired-once latch lives on the cached (reused-in-place) agent and
persists across turns, so a band crosses once -> one push, no per-turn
re-nag. Re-fires only after idle-eviction rebuilds the agent (a reminder).
- Recovery ('Credit access restored') rides the show path (emitted as a
success notice, not a clear). notice_clear_callback is a no-op: a sent
platform message can't be cleanly retracted.
Tests: render glyph/levels/fail-soft + public/private delivery seam through
_deliver_platform_notice + no-adapter no-op.
* fix(credits): don't double the glyph on messaging notices
render_notice_line prepended a per-level glyph, but the notice policy already
bakes the glyph into the text (and the TUI + CLI render it verbatim) — so every
credit notice over messaging came out doubled ("⚠ ⚠ Credits 90% used",
"⛔ ✕ Credit access paused"). Emit the text verbatim instead; drop the now-dead
level→glyph map.
The render tests fed glyph-less text (and the success case only checked
startswith), so the doubling slipped through. Rework them around the verbatim
contract and add an end-to-end regression that runs real evaluate_credits_notices
output through render_notice_line and asserts the line is returned unchanged.
* fix: respect disabled auto-compaction on context overflow
Port from anomalyco/opencode#30749.
When compression.enabled is false, NO automatic compaction trigger may
fire. The proactive token-threshold paths (preflight + post-response
should_compress gate) already honoured the setting, but the three
provider-overflow recovery paths in the agent loop — long-context-tier
429, 413 payload-too-large, and context-overflow — called
_compress_context() unconditionally, silently compressing and rotating
the session against the user's explicit choice.
Add a single guard at the top of the overflow-recovery dispatch: when
compression is disabled and the error is one of those three overflow
classes, surface a terminal error (compaction_disabled: True) telling the
user to /compress manually, /new, switch to a larger-context model, or
reduce attachments. Manual /compress (force=True) is unaffected — it never
enters this loop.
Tests: new TestOverflowWithCompactionDisabled (413 + 400 overflow don't
compress when disabled; control case still compresses when enabled).
Existing overflow-recovery tests updated to enable compaction explicitly
(they verify the recovery fires); fixture defaults flipped to True to
match production (compression.enabled defaults to True).
* fix(gemini): default native maxOutputTokens + strip OpenAI extra_body on Gemini endpoints
Two distinct failures hit users on the gemini provider with only Google
AI Studio keys set.
1. Truncation loop: build_gemini_request() only set maxOutputTokens when
max_tokens was non-None. Hermes passes None to mean "unlimited", but
Gemini's native generateContent does NOT treat an absent maxOutputTokens
as full budget — it applies a low internal default and stops early with
finishReason=MAX_TOKENS, truncating tool calls. The agent then retries
3x and refuses the incomplete call. Now default to the published 65,535
ceiling (shared by all current Gemini text models) when max_tokens=None.
2. HTTP 400 on Gemini endpoint: the chat_completions transport assembles
profile extra_body (Nous portal 'tags', reasoning, provider prefs) and
sends it via the OpenAI client to whatever base_url is resolved. When a
profile that emits extra_body (e.g. Nous) is active but the endpoint is a
native Gemini base_url — typical when only Google creds exist and a
fallback/aux call lands on Gemini — Google rejects the unknown 'tags'
field with a non-retryable 400. Strip all non-thinking_config extra_body
keys when the resolved endpoint is native Gemini.
Verified E2E against real transport code: tags stripped on native Gemini,
preserved on Nous and the /openai compat endpoint; maxOutputTokens=65535
on None, explicit values respected.
