The xapp-<num>-<hash> format used by Slack App-Level / Socket Mode
tokens was missing from both agent/redact.py prefix patterns and
gateway/run.py gateway secret patterns, so SLACK_APP_TOKEN values could
leak through to chat users even with security.redact_secrets enabled.
Adds an anchored xapp-\d+- pattern to both redaction paths.
The credential-pool Codex refresh path synced tokens from auth.json and
then POSTed the refresh_token to OpenAI's token endpoint without holding
the cross-process auth-store lock across the whole read->POST->write-back
sequence. Because Codex refresh tokens are single-use, two concurrent
Hermes processes could both adopt the same on-disk token and both POST
it; the loser got refresh_token_reused / invalid_grant.
Wrap the Codex OAuth branch of _refresh_entry in the existing shared
_auth_store_lock (reentrant, cross-process flock) using the same
extended-timeout pattern resolve_codex_runtime_credentials() already
uses. A waiting process now blocks on the lock and, once inside, the
in-lock re-sync picks up the rotated token the winner persisted and
skips its own POST. Also send User-Agent: hermes-cli/<version> on the
refresh request.
Credit @cooper-oai (#34820) for identifying the concurrent-refresh
reuse race; this ships the narrow lock-serialization fix without the
separate Codex auth-store partition.
_maybe_wrap_untrusted() only wrapped str-typed tool outputs. When a
high-risk tool (web_extract, browser_*) returns a multimodal content
list ([{type:text},{type:image_url}]) — which _tool_result_content_for
_active_model() produces by unwrapping the _multimodal envelope for
vision-capable providers — the text part reached the model completely
unguarded. An attacker page that ships one image bypassed the entire
untrusted-data wrapper.
Extend the wrapper to handle list content: each {type:text} part is run
through the same string-wrapping path (min-char threshold, delimiter
neutralization, one well-formed block), image/video parts pass through
untouched so the list stays valid for vision adapters. Recursing into
the existing string branch means the list path inherits the delimiter
defang and the no-forgeable-fast-path hardening from #56172 for free.
The outer list is rebuilt (not returned by identity), so callers compare
by value.
`@file` / `@folder` context-reference expansion enforced its own narrow
deny-list (`_ensure_reference_path_allowed` in `agent/context_references.py`)
that only covered `~/.ssh` keys, a handful of shell dotfiles, `~/.hermes/.env`,
and `skills/.hub`. It never blocked the credential stores that the canonical
read guard (`agent/file_safety.get_read_block_error`) protects: provider API
keys (`~/.hermes/auth.json`), Anthropic OAuth tokens
(`~/.hermes/.anthropic_oauth.json`), MCP OAuth material (`~/.hermes/mcp-tokens/`),
webhook HMAC secrets, and project-local `.env` files.
This matters because the messaging gateway feeds **untrusted** remote text
straight into reference expansion: `gateway/run.py` calls
`preprocess_context_references_async(..., allowed_root=_msg_cwd)` where
`_msg_cwd` defaults to the operator's HOME when `TERMINAL_CWD` is unset. A chat
peer (Telegram/Discord/Slack/...) could send `@file:~/.hermes/auth.json`, pass
the `allowed_root` check (it resolves under HOME), slip past the narrow list,
and have the operator's live keys read into the agent's context — where the
model would typically echo or act on them.
Rather than duplicate and re-sync a second secret list, this routes the guard
through the existing single source of truth. A reviewer might ask "why not just
add `auth.json` to the local list?" — because the local list has already drifted
once (a prior commit had to add `.config/gh`); anchoring to
`get_read_block_error` means every future addition there protects this path too.
The narrow checks are kept as a fallback since they also cover dirs that guard
does not (`.aws`, `.gnupg`, `.kube`, etc.), and the canonical lookup is wrapped
so it can never crash reference expansion.
N/A
- [x] 🔒 Security fix
- `agent/context_references.py`: `_ensure_reference_path_allowed` now also
consults `agent.file_safety.get_read_block_error` after its existing checks
and refuses the reference when that canonical guard flags the resolved path.
The lookup is wrapped so guard-resolution failures fall back to the explicit
checks instead of breaking expansion.
- `tests/agent/test_context_references.py`: added
`test_blocks_canonical_read_denylist_credential_stores`, asserting that
`@file` attaches for `auth.json`, `.anthropic_oauth.json`, `mcp-tokens/*`, and
a project-local `.env` are all refused and their secret bodies never reach the
expanded message.
- `scripts/release.py`: added the contributor email to `AUTHOR_MAP` (release
gate).
1. `scripts/run_tests.sh tests/agent/test_context_references.py` — all 15 tests
pass, including the new credential-store case.
2. Regression proof: stash `agent/context_references.py`, run the suite with
`-- -k canonical`, and confirm the new test fails (secrets leak into the
message) without the fix; restore and confirm it passes.
3. `ruff check agent/context_references.py tests/agent/test_context_references.py`
and `python scripts/check-windows-footguns.py agent/context_references.py
tests/agent/test_context_references.py` both pass.
- [x] I've read the Contributing Guide
- [x] My commit messages follow Conventional Commits (`fix(scope):`, etc.)
- [x] I searched for existing PRs to make sure this isn't a duplicate
- [x] My PR contains **only** changes related to this fix (plus the AUTHOR_MAP release gate)
- [x] I've run the test suite for the touched area and all tests pass
- [x] I've added tests for my changes (required for bug fixes)
- [x] I've tested on my platform: macOS 15 (Darwin 25.5)
- [x] I've updated relevant documentation (README, `docs/`, docstrings) — or N/A
- [x] I've updated `cli-config.yaml.example` if I added/changed config keys — or N/A
- [x] I've updated `CONTRIBUTING.md` or `AGENTS.md` if I changed architecture or workflows — or N/A
- [x] I've considered cross-platform impact (Windows, macOS) — or N/A
- [x] I've updated tool descriptions/schemas if I changed tool behavior — or N/A
Review follow-up on the concurrent-tool deadline salvage. timed_out_indices is
snapshotted from not_done at the deadline; a worker can still finish and write
results[i] in the window before the post-execution result loop reads it. The
loop unconditionally replaced results[i] with a fabricated 'timed out' message
for any snapshotted index, discarding a genuinely-successful (just-late) result.
Gate the timeout message on 'and r is None' so a real result always wins. Add a
regression test that forces the snapshot-vs-result-loop race deterministically
(mutation-checked: reverting the guard fails it). Also document the intentional
detached-worker leak at the executor abandon site.
A tool with no internal interrupt check (read_file, web_search, or a wedged
terminal backend) that never returns keeps the concurrent-tool poll loop alive
forever: the loop only breaks when all futures finish or an interrupt is
requested, and the 30s heartbeat resets the gateway idle monitor so idle-kill
never fires. The ThreadPoolExecutor was also used as a context manager, so its
__exit__ joined the hung worker with wait=True.
Add a wall-clock batch deadline (HERMES_CONCURRENT_TOOL_TIMEOUT_S, default 420s
— above the 360s web_extract timeout; 0/negative disables). When it fires:
cancel pending futures, signal an interrupt to the worker threads, abandon the
executor (shutdown wait=False, cancel_futures=True) so hung threads aren't
joined, and return a per-tool 'timed out' result for the unfinished calls while
still surfacing the finished ones. Also fixes the latent futures.index(f)
lookup (ambiguous with duplicate futures) by tracking a future->index map.
Salvaged from #54562.
Co-authored-by: Gustavo Mendes <87918773+gustavosmendes@users.noreply.github.com>
verify_on_stop / pre_verify append a synthetic assistant "done" plus a
synthetic user nudge to keep the agent going one more turn before it can
claim completion. Both were flagged (_verification_stop_synthetic on the
nudge only), but the flags were never registered in
_EPHEMERAL_SCAFFOLDING_FLAGS, so the central _is_ephemeral_scaffolding()
filter that guards both persistence sinks (SQLite flush + JSON snapshot)
let them through. The resumed transcript then inherited loop-only
scaffolding, invalidating the prompt-prefix cache on later turns.
- add _verification_stop_synthetic and _pre_verify_synthetic to
_EPHEMERAL_SCAFFOLDING_FLAGS (the single chokepoint both sinks use)
- flag the blocked attempt assistant message too, not just the nudge, so
the whole synthetic pair drops together and persistence does not keep a
premature done with the nudge stripped (assistant to assistant adjacency)
The API-payload leak claimed in the report is already handled: the
chat_completions transport strips every underscore-prefixed message key
before the wire, so the marker never reaches strict providers.
Reported by patppham.
Widen the salvaged #32243 fix to the try_activate_fallback path: a custom
provider pointed at the native api.anthropic.com host (no /anthropic path
suffix, name != anthropic) fell through to chat_completions -> POST
/v1/chat/completions -> 404. Match the host the same way determine_api_mode()
and _detect_api_mode_for_url() now do. Absorbs #49247.
models_dev.py's fetch uses a synchronous requests.get(timeout=15). Called
from the async gateway message handlers, it blocked the event loop for up
to 15s, starving Discord heartbeats and causing ClientConnectionResetError
disconnects.
Adds get_model_context_length_async() which offloads the entire sync
resolution chain to a worker thread via asyncio.to_thread(), and switches
the two async gateway call sites (_prepare_inbound_message_text,
_handle_message_with_agent) to await it. The loop stays responsive; the
sync path remains the single source of truth for the cache.
Salvaged from PR #22753 by @itenev. Follow-up: dropped the unused
fetch_models_dev_async/lookup_models_dev_context_async aiohttp variants
from the original PR (dead code with zero callers that had drifted from
the sync cache logic) — the to_thread wrapper already runs the sync path
off-loop, so they were redundant.
Subprocesses spawned by the terminal tool, execute_code, Docker backend, and
the codex app-server could inherit Hermes-internal secrets that the name-based
`_HERMES_PROVIDER_ENV_BLOCKLIST` can't enumerate, because they're injected into
`os.environ` at runtime under dynamic names:
- `AUXILIARY_<TASK>_API_KEY` / `AUXILIARY_<TASK>_BASE_URL` — per-task side-LLM
credentials bridged from `config.yaml[auxiliary]` by gateway/run.py and cli.py
(vision, web_extract, approval, compression, plugin-registered tasks). Often
separate, higher-spend keys plus base URLs pointing at private endpoints.
- `GATEWAY_RELAY_*_SECRET` / `_KEY` / `_TOKEN` — relay-auth material provisioned
by gateway/relay.
Additionally, agent/transports/codex_app_server.py built its spawn env from a
raw `os.environ.copy()`, bypassing the centralized `hermes_subprocess_env()`
helper entirely — handing every codex subprocess the full Tier-1 secret set
(GH_TOKEN, gateway bot tokens, Modal/Daytona infra tokens, dashboard session
token) unfiltered. This is the #29157 sibling spawn-site gap; copilot_acp_client
already routes through the helper.
Fix — single chokepoint:
- Add `_is_hermes_internal_secret(key)` in tools/environments/local.py as the
single source of truth for the dynamic secret patterns. Matches
AUXILIARY_*_API_KEY / _BASE_URL and GATEWAY_RELAY_*_SECRET/_KEY/_TOKEN; leaves
non-secret AUXILIARY_*_PROVIDER/_MODEL and GATEWAY_RELAY routing hints visible.
- Wire the predicate into every spawn path unconditionally (ignores skill
env_passthrough opt-in AND inherit_credentials — a model-driving CLI never
needs these): `_sanitize_subprocess_env` (both loops), `_make_run_env`
(foreground), `hermes_subprocess_env` (Tier-1), and the Docker forward filter.
- Add the static GATEWAY_RELAY_* names to `_HERMES_PROVIDER_ENV_BLOCKLIST` so the
exact-match path catches them independently of the predicate.
- Add the GATEWAY_RELAY_ID/_SECRET/_DELIVERY_KEY triplet to `_ALWAYS_STRIP_KEYS`
(Tier-1) so it is stripped unconditionally on EVERY spawn surface — including
the codex/copilot `inherit_credentials=True` path that skips the Tier-2
blocklist. `_SECRET`/`_DELIVERY_KEY` are already predicate-matched; `_ID` has
no secret suffix, so enumerating it here is what closes its leak on the
inherit path (self-review W1).
- Defense in depth: env_passthrough.py `_is_hermes_provider_credential()` now
consults the same predicate, so a skill can't register these names as
passthrough and tunnel them into an execute_code / terminal child.
- Route codex_app_server through `hermes_subprocess_env(inherit_credentials=True)`
— strips Tier-1 + dynamic-internal secrets while provider creds (which codex
needs to authenticate) still flow.
Consolidates PRs #53715 (necoweb3 — the _is_hermes_internal_secret backbone +
Docker filter), #53503 (srojk34 — env_passthrough guard), and #55709 (srojk34 —
codex routing). Retires #52348 (claudlos): its copilot half is already on main,
and its codex half used the full-strip `_sanitize_subprocess_env` which would
break codex provider auth — the correct tier is `inherit_credentials=True`.
Tests: TestHermesInternalDynamicSecrets (terminal + predicate + passthrough
override), TestInternalDynamicSecrets (hermes_subprocess_env both tiers),
TestSpawnEnvSecretStripping (codex spawn env), plus env_passthrough
defense-in-depth cases.
Co-authored-by: necoweb3 <sswdarius@gmail.com>
Co-authored-by: srojk34 <286497132+srojk34@users.noreply.github.com>
Co-authored-by: claudlos <claudlos@agentmail.to>
AIAgent.run_conversation() promises a dict with final_response, but 16
terminal-failure branches returned dicts that either omitted the key or
set it to None. Callers that index result['final_response'] directly
(run_agent.py chat() + the __main__ printer) turn a real provider/context
failure into an opaque KeyError instead of surfacing the actionable error.
Every offending branch already carried usable 'error' text, so this
mirrors that text into final_response for all 16 sites (8 that omitted the
key, 8 that returned None). Adds an AST regression test that fails if any
run_conversation() dict return omits final_response or sets it to a literal
None, and tightens the invalid-response test to assert final_response == error.
The MoA aggregator received the per-turn reference block merged into the most
recent `user` message. In an agentic tool loop that message is the original
task near the top of the context (everything after it is assistant/tool turns),
so injecting text that changes every iteration diverges the prompt prefix early.
The server's KV cache then cannot be reused and the entire conversation
re-prefills on every tool-loop step — full prefill each step, which dominates
latency on long contexts.
Append the reference block at the end of the prompt instead (merging into the
last message only when it is already a trailing user turn, i.e. plain chat).
This keeps the [system][task][tool-history] prefix stable and cache-reusable so
only the new block re-prefills, and gives the aggregator the references with
recency. Extracted as `_attach_reference_guidance` with unit tests.
Measured on a local llama.cpp aggregator over a long agentic task: KV-cache
reuse on follow-up steps went from ~0.3% to ~93-95% and per-step prefill on an
~80k-token context dropped from ~44s to <1s, with no change to output.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
`_maybe_wrap_untrusted` is the architectural defense against indirect
prompt injection. It wraps attacker-controllable tool output
(web_extract, web_search, browser_*, mcp_*) in
`<untrusted_tool_result>...</untrusted_tool_result>` so the model treats
it as data. The content was interpolated verbatim, so the boundary was
forgeable.
Two holes. A poisoned page that embeds `</untrusted_tool_result>` closes
the block early — everything after it reads as trusted instructions. And
the `startswith("<untrusted_tool_result")` re-entrancy guard returned
content that merely started with the opening tag completely unwrapped, so
an attacker just prefixed the tag to drop all data framing.
Fix neutralizes any embedded delimiter token (case-insensitive) before
interpolation and drops the forgeable fast-path, so content is always
sealed in exactly one well-formed block. Re-wrapping an already-wrapped
forward is harmless — it stays framed as data.
## What does this PR do?
Closes an indirect prompt-injection bypass in the untrusted-tool-result
wrapper. Attacker content can no longer break out of, or forge, the
trust boundary.
## Related Issue
N/A
## Type of Change
- [x] 🔒 Security fix
## Changes Made
- `agent/tool_dispatch_helpers.py`: add `_neutralize_delimiters` (case-insensitive defang of the `untrusted_tool_result` token); `_maybe_wrap_untrusted` now always neutralizes then wraps, and the forgeable `startswith` re-entrancy guard is removed.
- `tests/agent/test_tool_dispatch_helpers.py`: replace the double-wrap test (it encoded the bypass) with regression tests for embedded closing tag, leading opening tag, and a cased closing tag.
## How to Test
1. `scripts/run_tests.sh tests/agent/test_tool_dispatch_helpers.py` — 29 pass.
2. Embedded `</untrusted_tool_result>` mid-content: real closing delimiter appears once, at the end; payload trapped inside.
3. Content starting with the opening tag: data framing is applied, not skipped.
## Checklist
### Code
- [x] I've read the Contributing Guide
- [x] My commit messages follow Conventional Commits
- [x] I searched for existing PRs to make sure this isn't a duplicate
- [x] My PR contains only changes related to this fix
- [x] I've run the affected tests and they pass
- [x] I've added tests for my changes
- [x] I've tested on my platform: macOS 15 (Darwin 25.5)
### Documentation & Housekeeping
- [x] I've updated relevant documentation (docstrings) — or N/A
- [x] cli-config.yaml.example — N/A
- [x] CONTRIBUTING.md / AGENTS.md — N/A
- [x] Cross-platform impact — N/A (pure-Python, stdlib `re`)
- [x] Tool descriptions/schemas — N/A
After the first compaction protect_first_n decays, so on a later compaction
the only protected head message can be the system prompt. Adapters like
Anthropic and Bedrock send the system prompt as a separate parameter, so the
summary becomes the first message in messages[] — and Anthropic rejects any
request whose first message is not role=user (HTTP 400). Pin the summary to
role=user when the head is system-only, and stop the collision-flip logic from
reverting it back to assistant.
Salvaged from #52167.
Co-authored-by: liuhao1024 <sunsky.lau@gmail.com>
compress() eagerly reset _last_summary_auth_failure and
_last_summary_network_failure at the top of every call. On a second
compress() during the failure cooldown, _generate_summary() returns None from
the cooldown early-return WITHOUT re-asserting those flags, so the abort guard
saw False and fell through to the destructive static-fallback that drops the
middle window — the data-loss #29559/#25585 describe. Stop resetting them
eagerly; a successful summary already clears both, so letting them persist
across calls is safe and keeps the cooldown abort protection intact.
Salvaged from #52056.
Co-authored-by: srojk34 <286497132+srojk34@users.noreply.github.com>
_sanitize_tool_pairs inserted stub role="tool" results for orphaned
tool_calls. The pre-API repair_message_sequence() tracks known call IDs by
tc.get("id") while this sanitizer keys on call_id||id; when they disagree
(Codex Responses API: id != call_id) the stubs are silently dropped by the
repair pass, re-exposing the original orphans. Strip the orphaned tool_calls
at the source instead (preserving any text content, adding a placeholder for
an otherwise-empty assistant turn) to avoid the mismatch class entirely.
Salvaged from #51225.
Co-authored-by: liuhao1024 <sunsky.lau@gmail.com>
Upstream #52270 added `_nous_inference_env_override()` but wired it into
only `resolve_nous_runtime_credentials`. Three sibling resolution paths
still ignored the override, so a self-hosted Nous inference endpoint set
via `NOUS_INFERENCE_BASE_URL` was silently dropped whenever credentials
arrived through any of them:
- the credential-pool path (`_resolve_runtime_from_pool_entry`)
- the explicit-provider path (`_resolve_explicit_runtime`)
- the auxiliary side-LLM client (`_pool_runtime_base_url`)
Route all three through the same auth-layer reader so every
`NOUS_INFERENCE_BASE_URL` read shares one normalization path
(trailing-slash stripping, blank -> empty) and the documented
trusted-bypass intent stays in one place. The override is live-only: it
wins for the base URL returned this run but is never persisted to
auth.json or the credential pool, so an ephemeral dev/staging value
cannot poison durable auth state.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
When auxiliary.<task>.model is set to "auto" in config.yaml,
_resolve_task_provider_model() was treating it as a truthy model id
and propagating the literal string "auto" to the wire. The provider
then returned a 200 OK with an error-text body (e.g. "the model auto
does not exist, run --model to pick a different model"), which
downstream consumers such as ContextCompressor accept as the
compressed summary -- silent corruption with no exception raised.
The provider-side auto-resolution path (_resolve_auto via main_runtime
fallback) is already wired up and does the right thing when cfg_model
is None. The fix is to normalize the auto sentinel at the resolver
layer: when cfg_model.lower() == "auto", drop it to None so the
resolver can fall through to main_runtime / auto-detect.
Reproduction (pre-fix):
>>> from agent.auxiliary_client import _resolve_task_provider_model
>>> _resolve_task_provider_model("compression") # with model: auto in config
("auto", "auto", None, None, None)
Post-fix:
>>> _resolve_task_provider_model("compression")
("auto", None, None, None, None)
Verified end-to-end: ContextCompressor.compress now produces a real
summary (~4KB of compaction text) instead of swallowing the bridge
error string. Aux compression on auto/auto config no longer silently
corrupts the conversation summary.
When an Anthropic Claude Pro/Max OAuth subscription hits the "out of extra
usage" 400 (now classified as billing), surface actionable guidance pointing
at claude.ai/settings/usage and the cycle-reset option instead of the generic
"add credits with that provider" line — which does not apply to a
subscription. Folds in the UX from #40073 (@harsh-matchmyflight) without the
extra FailoverReason enum; the billing reclass already provides the recovery
behavior.
Anthropic returns HTTP 400 with "You're out of extra usage. Add more at
claude.ai/settings/usage and keep going." when the account's extra-usage
allowance is depleted. The existing _BILLING_PATTERNS list did not
include this wording, so classify_api_error fell through to generic
format_error — non-retryable and should_fallback=False — causing the
agent to abort instead of engaging the configured fallback chain.
Add the pattern and a regression test covering the exact Anthropic body.
A context-compaction handoff banner is inserted with role="user" when the
protected head ends in an assistant/tool message. On a resumed or
multi-compaction session, _find_last_user_message_idx would return that
banner as the latest user turn, so _ensure_last_user_message_in_tail anchored
the tail to the summary and rolled the genuine last user message into the
next compaction — the exact active-task loss the anchor exists to prevent
(#10896/#22523).
Reuse the existing _is_context_summary_content helper to skip summary banners
when locating the last real user message.
Salvaged from #36626 by Frank Song (issue #36624). The PR's other two changes
(demoting completed tool results inside the protected tail; a preflight
compression_exhausted result) are superseded on current main by the min_tail
floor (#39170), the no-op compression counting (#40803), and the existing
413/disabled terminal-error paths.
Review of the salvage found the timeout-message redaction left the more
common failure mode unguarded: when the first websockets.connect(cdp_url)
fails (bad URI / refused / TLS), the raw websockets exception -- which
embeds the full cdp_url incl. ?token= and user:pass@ -- is stashed as
_start_error and re-raised verbatim by start(), and two reconnect
logger.warning sites log the same raw exception.
Add a module-level _redact_cdp_error_text() chokepoint (delegating to
agent.redact.redact_cdp_url) and route all four supervisor egress points
through it:
- start() TimeoutError message (already covered; kept)
- start() _start_error re-raise -> now raises a redacted RuntimeError with
'from None' so no secret leaks via message OR traceback cause chain
- connect-failed and session-dropped reconnect warnings
Guard tests assert the re-raised message is redacted for both token and
userinfo, the raw cause is suppressed, and the helper preserves non-secret
context (host/reason). Verified with a mutation check: reverting to the raw
'raise err' fails the new tests. Correct the redact_cdp_url docstring to
scope its guarantee to direct-URL redaction and point exception callers at
the supervisor helper.
The session-log fix (browser_tool._sanitize_url_for_logs) and the
supervisor attach-timeout fix (CDPSupervisor.start) both composed the
same three redactors (redact_sensitive_text -> _redact_url_query_params
-> _redact_url_userinfo) to mask CDP endpoint credentials. Two copies of
one policy drift: tune one site (e.g. add fragment masking) and the other
silently re-leaks.
Promote that composition to a single public helper redact_cdp_url() in
agent/redact.py -- the one place the CDP-URL redaction policy lives -- and
route both call sites through it (_sanitize_url_for_logs becomes a thin
wrapper; the supervisor imports the helper instead of re-composing the
private redactors). Add direct unit tests for the seam covering query
tokens, multiple credentials, userinfo passwords, plain-URL passthrough,
non-string/exception coercion, and None.
No behavior change at the call sites; both leak paths remain closed.
Whole-bug-class follow-up to the tui_gateway fix: the same -1
last_prompt_tokens sentinel (parked by conversation_compression after a
compression) leaked into other status readers, producing a raw -1 or a
NEGATIVE usage_percent on the transitional turn:
- agent/context_engine.py get_status() (the ABC default every external
context engine inherits) — highest blast radius
- gateway/slash_commands.py /usage context line
- cli.py session usage printout
All clamped to >=0, mirroring cli.py _get_status_bar_snapshot and the
tui_gateway fix. Adds an ABC get_status sentinel-clamp regression test.
Salvaged from PR #35130 (the safe subset of jnibarger01's security pass):
- threat_patterns.py: replace unbounded (?:\w+\s+)* filler with bounded
{0,8} + cap scan input at MAX_SCAN_CHARS (64KiB), and bound the .*
runs in the exfil/config-mod patterns. Kills catastrophic backtracking
on adversarial near-misses.
- hermes_state.py: cap FTS5 query length (MAX_FTS5_QUERY_CHARS) and
extract quoted phrases with a linear scan instead of a regex so
pathological quote runs can't induce backtracking.
- acp_adapter/edit_approval.py + agent/tool_dispatch_helpers.py: recognize
'*** Move File: src -> dst' V4A headers so patch-mode edits are
permissioned/traversal-checked (previously only Update/Add/Delete), and
surface a proposal for mode=patch V4A calls (previously replace-only).
Tests: +ReDoS-bound + FTS5-cap + Move-File-target + V4A-approval cases.
When the last user message sits exactly at head_end (the first compressible
index), _ensure_last_user_message_in_tail's final max(last_user_idx,
head_end + 1) clamp returns head_end + 1, pushing the user into the compressed
region without its assistant reply. The summariser then records it as a
pending ask, and the next session re-executes the already-completed task
(lights off twice, file deleted twice, message re-sent).
Fix: apply Causal Coupling — a compaction boundary must never split a
(user -> assistant [-> tool results]) turn-pair. Add _find_turn_pair_end and,
when the clamp would orphan the user, push the cut forward to pair_end so the
completed pair is summarised together and marked done.
8 new tests in TestTurnPairPreservation; 133 compressor tests pass.
@janrenz's PR #35862 added prompt_caching.enabled=false at init only. But
_anthropic_prompt_cache_policy re-derives _use_prompt_caching on every /model
switch (agent_runtime_helpers) and fallback-model swap (chat_completion_helpers),
which re-enabled markers and re-broke the strict proxy the toggle was meant to fix.
Move the kill switch into anthropic_prompt_cache_policy so it returns (False, False)
on every path. Drop the now-redundant init-time override (kept @janrenz's isinstance
hardening on the cache_ttl read). Add policy-level tests + docs for the toggle.
Follow-up to salvaged PR #35862.
Adds moa.save_traces (default off). When on, every MoA turn that runs the
reference fan-out appends one JSON line to
<hermes_home>/moa-traces/<session_id>.jsonl capturing the TRUE FULL turn:
each reference model's exact input messages (system advisory prompt + full
advisory view, not the truncated display preview) + full output + usage +
per-advisor cost, and the aggregator's exact input (including the injected
reference-context guidance block) + output. Lets MoA runs be audited and
improved offline — what every model saw, said, and cost.
- agent/moa_trace.py: config-gated JSONL writer, profile-aware path via
get_hermes_home(), best-effort (never breaks a turn), moa.trace_dir override.
- agent/moa_loop.py: _RefAccounting now carries full input/output/model/
provider/temperature; create() stashes the full turn on a cache MISS
(once per turn, never on the cache-HIT repeat iterations); non-streaming
aggregator output captured inline, streaming marked + pointed at the
session assistant message. consume_and_save_trace(session_id) flushes it.
- agent/conversation_loop.py: flushes the trace with the live session_id
right after MoA usage consumption. No-op for non-MoA clients.
- hermes_cli/config.py: moa.save_traces + moa.trace_dir defaults.
Traces are a side channel — NOT the messages table, never in replay, safe
to delete. Off by default; only overhead when off is one config read on a
MoA cache-MISS turn.
Tests: full-trace-when-enabled (per-ref input+output+cost, aggregator
input-with-guidance + output), nothing-when-disabled. Live E2E through
run_conversation confirmed the loop wiring writes the file.
MoA ran the reference models before the aggregator but returned only the
aggregator's usage to the loop — _run_reference discarded each advisor
response's .usage entirely. Session accounting (state.db, /insights, cost)
therefore undercounted every MoA turn by the whole reference fan-out, which
is usually the bulk of the spend and scales with advisor count.
- _run_reference normalizes each advisor's usage with ITS OWN resolved
provider/api_mode and prices it at ITS OWN model rate (correct cache-read/
cache-write split), returning a _RefAccounting(usage, cost).
- create() sums advisor usage + cost once per turn (cache MISS only, so a
repeat tool-iteration reusing cached advice does not double-charge) and
exposes it via MoAClient.consume_reference_usage().
- conversation_loop folds advisor tokens into the reported/persisted token
counts and adds advisor cost (priced per-advisor) on top of the
aggregator cost, in both the in-memory session totals and the state.db
per-call delta. Aggregator cost is still priced on aggregator-only usage
so advisor tokens are never repriced at the aggregator rate.
- CanonicalUsage gains __add__ for per-bucket summing.
Tests: advisor usage/cost capture, per-turn sum + consume-clears +
cache-hit no-double-charge, CanonicalUsage.__add__.
_slot_runtime maintained a hand-listed name-preservation set
({nous, anthropic, openai-codex, xai-oauth, bedrock}) that returned bare
provider+model to avoid call_llm collapsing an explicit base_url to the generic
'custom' route. That duplicated _resolve_task_provider_model's
_preserve_provider_with_base_url guard (a provider-catalog capability check)
and had to be extended by hand for every provider with custom auth/signing —
the exact drift that produced the anthropic (#54609) and bedrock (#54912) 429/
empty-response bugs.
Removes the whitelist: _slot_runtime now forwards the resolved base_url/api_key/
api_mode for every slot, and the single chokepoint
(_resolve_task_provider_model -> _preserve_provider_with_base_url) decides
identity preservation. Behavior is unchanged for the five providers — their
provider branches (codex Responses+Cloudflare, xai-oauth, bedrock SigV4,
anthropic OAuth Bearer+anthropic-beta, nous Portal tags) re-resolve their own
credentials by name and ignore a forwarded base_url/api_key, so forwarding is
safe even for bedrock's placeholder 'aws-sdk' key.
Verified via real-import E2E: _slot_runtime -> _resolve_task_provider_model
preserves openai-codex/xai-oauth/bedrock/anthropic/nous (+openrouter control) —
none collapse to custom. Tests updated to assert the pipeline invariant against
the real resolver instead of the removed whitelist's bare-return shape.
_slot_runtime() resolved a bedrock slot to its bedrock-runtime base_url
plus the placeholder api_key "aws-sdk" and forwarded both to call_llm.
call_llm then treated it as a plain OpenAI-compatible endpoint and issued
an UNSIGNED bearer POST (no AWS SigV4 / IAM signing), so Bedrock returned
an empty/malformed ChatCompletion (choices=None) and the MoA aggregator
turn failed validation.
Add 'bedrock' to the name-preserve set alongside nous/openai-codex/
xai-oauth so bedrock slots are passed by provider name only, routing
through call_llm's dedicated SigV4-signed bedrock branch.
Affects any MoA preset using a bedrock aggregator or bedrock reference.
MoA's _slot_runtime() whitelists providers that must keep their provider
identity (so call_llm runs their provider branch) instead of being treated
as a plain custom endpoint via forwarded base_url/api_key. Native anthropic
was missing from this set.
Native anthropic subscription OAuth setup-tokens (sk-ant-oat*) require Bearer
auth plus the 'anthropic-beta: oauth-*' header, which only the anthropic
provider branch adds. Without the whitelist entry, the slot's base_url/api_key
were forwarded and call_llm sent the OAuth token as x-api-key, which Anthropic
rejects with a bare 429 (rate_limit_error with no quota details). This made
anthropic references in MoA presets fail every time.
Add 'anthropic' to the whitelist so native anthropic reference/aggregator
slots route through the provider branch. Extends upstream 9229d0db1 which
added 'nous' for the same reason.
Add regression tests for the sk-ant-oat OAuth heuristic and shorten the
inline comment. Verifies admin keys (sk-ant-admin-*) and standard API keys
classify as api_key, only sk-ant-oat- tokens flow into the OAuth refresh path.
The background memory/skill review thread wrapped its whole body in
process-global contextlib.redirect_stdout/stderr(devnull). Those rebind
sys.stdout/sys.stderr for the ENTIRE process, so for the full duration of
the review (tens of seconds) every other thread — including a gateway
event-loop thread driving a Telegram long-poll — also wrote to devnull.
Any bare print/sys.stderr.write from those threads during the window was
silently lost (#55769 / #55925).
Replace the global redirect with thread_scoped_silence(): a per-thread
routing proxy installed once as sys.stdout/sys.stderr that sends only the
registered (bg-review) thread's writes to devnull and passes every other
thread through to the real stream. Depth-counted so nested use composes.
Verified: a concurrent thread writing while the bg-review thread is inside
the silence window keeps its output on the real stream.
Two independent fixes salvaged from #12811 (closing it; one of its three
bundled fixes — Discord free_response — is already on main).
Anthropic max_tokens (#12790): the chat-completions max_tokens fallback only
fired for OpenRouter/Nous URLs, so any other proxy serving a Claude model
(AWS Bedrock, NVIDIA, LiteLLM, vLLM, corporate gateways) shipped requests
with no max_tokens and inherited the proxy's low default (Bedrock: 4096),
exhausting on thinking + large tool calls. Changed the gate in
chat_completion_helpers.build_api_kwargs from URL-gated to model-gated:
fires whenever the model matches an _ANTHROPIC_OUTPUT_LIMITS key. This also
fixes a latent miss — the old 'claude' substring gate skipped MiniMax and
Qwen3 even on OpenRouter. Remains a last-resort fallback (build_kwargs only
applies it after ephemeral/user/profile max_tokens), so it never overrides
an explicit value, and only touches the chat-completions transport (native
Anthropic Messages API is a separate path).
Feishu channel_prompt (#12805): the Feishu adapter never resolved
channel_prompts config, unlike Discord/Slack, so per-channel role prompts
were silently ignored. Added _resolve_channel_prompt() (delegating to the
shared gateway.platforms.base.resolve_channel_prompt) and wired it into all
three MessageEvent construction sites — inbound message, reaction routing,
and card-action routing.
Tests: tests/gateway/test_feishu_channel_prompts.py (6 cases) covering exact
match, parent-thread fallback, no-match, missing-config safety, and event
propagation.
A /learn request can mix the source(s) to gather (paths, URLs, "what we
just did") with requirements that shape the skill (focus, scope, what to
omit). When a request led with a path or link, the agent fetched it and
treated the trailing prose as incidental, dropping the user's stated
focus — the symptom @GrenFX reported.
The input layer was never the cause: both CLI (split(None, 1)) and
gateway (get_command_args()) capture the full free-text argument. The
gap was in build_learn_prompt, which dumped the request as one
undifferentiated source blob.
build_learn_prompt now tells the agent the request may mix sources and
requirements in any order, that prose after a path/link is authoring
guidance to honor (not noise), and to never fetch the first source and
ignore the rest. Adds step 1b: apply every requirement to what the
SKILL.md covers, not just which sources get read. Both surfaces inherit
it; no parser change, zero tool footprint.
Registers PowerShell (.ps1/.psm1/.psd1) in the LSP server registry,
spawning PowerShellEditorServices over stdio via a pwsh/powershell
host. PSES ships as a GitHub release zip (no npm/go/pip recipe), so it
sits in the manual install tier alongside rust-analyzer and clangd.
The spawn builder resolves the module bundle from (in order) the
lsp.servers.powershell.command override, init bundlePath, the
PSES_BUNDLE_PATH env var, or <HERMES_HOME>/lsp/PowerShellEditorServices,
then launches Start-EditorServices.ps1 -Stdio with a non-interactive,
no-profile host. hermes lsp status/list report it as manual-only until
pwsh is present.
Docs and tests included.
When the summary LLM hits a 429/transient failure, _generate_summary() sets
a cooldown and returns None; compress() inserts a static fallback marker and
returns. Tokens stay above threshold, so should_compress() kept returning
True and every subsequent agent turn re-fired _compress_context() — the CLI
appeared frozen until the cooldown expired.
Add a cooldown guard to should_compress(): return False while
_summary_failure_cooldown_until is in the future. Reuses the existing float;
no new state. Manual /compress (force=True) still clears the cooldown first.
Fixes#11529
* fix(agent): drop tool_calls with empty function.name to prevent orphan 400
Salvage of #12807 by @melonboy312 — rebased onto current main (sanitizer
moved to agent_runtime_helpers), scoped to the sanitizer fix, with a
regression test that fails without it.
* fix(agent): repair (not drop) empty-name tool_calls to preserve anti-priming + prevent 400
Dropping empty-name tool_calls in the pre-call sanitizer collided with #47967,
which intentionally keeps an empty-name call paired with a synthesized
'tool name was empty' anti-priming result so weak models self-correct without
a full catalog dump. Dropping the call orphaned that result and stripped the
signal (breaking tests/agent/test_empty_tool_name_loop_dampening.py).
The actual HTTP 400 cause is an ORPHANED function_call_output (adapter drops
the empty-name function_call but keeps its output). Rename the blank name to a
non-empty sentinel instead: the call and its result stay paired, the adapter
no longer drops the function_call, no orphan, no 400 — and the anti-priming
result content the model needs is preserved.
---------
Co-authored-by: Bartok9 <danielrpike9@gmail.com>
background_review hardcoded enabled_toolsets=["memory", "skills"] in the
review fork's whitelist, so a skill-review fork on a profile with
memory_enabled: false still granted the LLM the built-in MEMORY.md read/write
tool — contaminating a profile that opted out of built-in memory. The flag was
already in scope (review_agent._memory_enabled). Include "memory" only when
_memory_enabled or _user_profile_enabled (USER.md also needs the tool).
Layer 1 of #54937 (the path leak) is fixed by this PR's thread-context
propagation: get_memory_dir() is already per-call on main, so once the
bg-review thread inherits the profile override its writes land in the right
profile (verified). This commit closes the remaining whitelist layer.
kitty fits an image to its cell rect preserving aspect, so a frame whose pixel
size isn't a whole multiple of the cell rounds up — clipping the bottom row
("clipped feet") and letterboxing a blank row. Trim each frame to its union
alpha bbox, then snap to an exact cell multiple before transmit so the sprite
hugs its box and renders full-body. (ratatui-image#57: render in multiples of
the font-size.)
