The salvaged fix added a post-worker _interrupt_requested re-check to the
main OpenAI/Anthropic streaming poll loop. The Bedrock Converse poll loop
(interruptible_streaming_api_call, api_mode='bedrock_converse') has the same
bug class: its worker calls stream_converse_with_callbacks(on_interrupt_check=
...), which breaks out of the event loop on interrupt and returns a PARTIAL
response WITHOUT raising (bedrock_adapter.py). The worker sets result[
'response'] and exits with _interrupt_requested still True, so the in-loop
raise never fires and the poll loop returns the partial — silently swallowing
/stop on Bedrock exactly as it was on the paths the salvaged commit fixed.
Add the identical post-worker re-check before the Bedrock loop's return.
The non-streaming loop (interruptible_api_call) is structurally immune: its
worker's only early return fires off _request_cancelled, which is set by the
main loop immediately before it raises in-loop, so no swallow window exists.
Guard test flips _interrupt_requested True mid-stream (after the pre-flight
check) and asserts InterruptedError is raised; verified RED without the fix
(DID NOT RAISE) and GREEN with it.
The provider-mismatch guard now checks pool_provider and
current_provider != pool_provider. MagicMock.provider returns
a truthy child mock by default, which would trigger the guard
and skip the pool recovery tests. Set pool.provider='' explicitly.
Review findings: (a) an absolute path outside trusted roots passes
through unchanged and gets rejected downstream by skill_view — add a
debug log at the pass-through so the cron 'skill not found' symptom is
diagnosable next time; (b) test_relative_path_unchanged patched
get_skills_dir although the relative branch early-returns before any
root lookup — drop the misleading patch.
The extracted normalize_skill_lookup_name() resolved trusted roots via
agent.skill_utils.get_skills_dir(), but skill_view() enforces
tools.skills_tool.SKILLS_DIR — a separate module attribute that callers
and 60+ existing tests patch directly. With the helper reading a
different symbol than the enforcer, any SKILLS_DIR patch (or future
divergence between the two resolvers) makes normalization disagree with
enforcement and absolute-path loads regress silently. Read SKILLS_DIR at
call time (deferred import, cycle-safe) with get_skills_dir() as the
fallback, and align the new tests to patch the enforced symbol.
Follow-up to the salvage of #59829 by @HexLab98.
Add unit tests for normalize_skill_lookup_name and a cron scheduler
regression that absolute paths under the skills dir reach skill_view as
relative lookups.
Follow-up hardening on the cherry-picked pool-fallback fix. The original
_resolve_codex_usage_credentials wrapped BOTH resolve_codex_runtime_credentials()
and the separate _read_codex_tokens() account_id read in one broad
'except Exception: pass', which had three problems:
1. A transient refresh/network failure (non-AuthError) from the resolver was
silently swallowed and downgraded to pool.select(), which could report
/usage limits for a DIFFERENT pool account than the one actually running.
On main that error surfaced. This is a real behavior regression for the
multi-account/pool case.
2. If the resolver succeeded but only the account_id read raised, the whole
singleton tier was abandoned in favor of a pool token that carries no
ChatGPT-Account-Id header (PooledCredential has no account_id concept),
risking a wrong-account read or 401.
3. 'except Exception' masked genuine programming errors.
Fix: narrow the outer catch to AuthError (the documented 'no creds' failure
mode of both functions), and read account_id in a best-effort inner try so a
partial/missing singleton store can't sink an otherwise-usable credential.
Transient errors now propagate and fail open via the outer fetch_account_usage
guard rather than mis-routing to the wrong account. Adds debug breadcrumbs and
a comment characterizing when the tier-3 pool path actually fires.
Guard tests: a non-AuthError resolver failure must NOT swap to the pool
(fail-open, no snapshot); an account_id read failure keeps the singleton token.
Updated the existing pool-fallback test to use AuthError (the real failure
mode) instead of a generic RuntimeError.
A fallback candidate can itself carry a stale credential (e.g. an
expired ANTHROPIC_TOKEN picked up by _try_anthropic). Its 401 previously
propagated out of the fallback call site and aborted the auxiliary task
— for compression: a 60s cooldown + context marker while the session
kept growing past the context cap. Live case: mattalachia debug dump
(Jul 2026), Codex timeout → Anthropic 401 x5 → 296K 'Cannot compress
further'.
Now each fallback candidate call is wrapped: on auth error, refresh the
candidate's provider credentials and retry once; if unrefreshable, mark
the provider unhealthy and walk the discovery chain again so the next
viable candidate serves. Sync + async paths. Non-auth errors still
raise unchanged.
Infer the concrete auxiliary auth provider from the selected client base
URL so provider:auto routes can refresh Copilot/Codex/Anthropic/Nous
credentials after auth errors, instead of skipping refresh because
resolved_provider stayed 'auto'. Adds the copilot branch to
_refresh_provider_credentials and evicts the stale auto-route cache
before retrying.
Fixes#20832. Salvaged from PR #20837, reapplied surgically onto current
main (branch predated the _retry_same_provider_sync/async extraction).
The Codex gpt-5.5 compaction-threshold autoraise notice re-fired on every
agent init. Because the gateway rebuilds the agent per inbound message, the
notice spammed long-running Discord/Telegram/etc. sessions, and the only
documented remedy (`compression.codex_gpt55_autoraise false`) disables the
useful autoraise behavior itself.
Gate both emission surfaces — the CLI startup print and the gateway
`_compression_warning` replay — on a persisted per-profile marker under
`$HERMES_HOME` (`.codex_gpt55_autoraise_notice`), keyed on the from→to
percentages the notice displays. The notice now shows at most once per
profile; the autoraise still fires and `codex_gpt55_autoraise: false` still
disables it; and a later change to the raised threshold re-notifies once.
Docs updated to match.
The Codex gpt-5.5 compaction autoraise (#40957) overrode the effective
threshold unconditionally. If a user had set compression.threshold above
0.85, agent_init dropped them down to 0.85. That wastes usable window and
contradicts the feature's whole point: use more of the context, not less.
It happened silently too, since the one-time notice is suppressed when the
override doesn't raise.
The override is an autoraise. It must only raise. Pulled the apply logic
into a small pure helper that clamps the Codex case to never lower a
higher-or-equal user threshold, and emits the notice only when it actually
fires. Other overrides (Arcee Trinity) keep their existing unconditional
behavior.
Fixes the Codex gpt-5.5 compaction autoraise lowering a user's higher
configured threshold. A user on the Codex OAuth route with
compression.threshold > 0.85 was silently clamped to 0.85, compacting
earlier than they asked and using less of the 272K window the feature was
meant to unlock. The autoraise now only ever raises.
N/A
- [x] 🐛 Bug fix (non-breaking change that fixes an issue)
- [ ] ✨ New feature (non-breaking change that adds functionality)
- [ ] 🔒 Security fix
- [ ] 📝 Documentation update
- [ ] ✅ Tests (adding or improving test coverage)
- [ ] ♻️ Refactor (no behavior change)
- [ ] 🎯 New skill (bundled or hub)
- `agent/agent_init.py`: added `_resolve_compression_threshold()`, a pure
helper that combines the global threshold with a per-model override. The
Codex gpt-5.5 autoraise never lowers a higher-or-equal user threshold;
the notice is returned only when it actually raises. Rewired `init_agent`
to call it, replacing the unconditional `compression_threshold = _model_cthresh`.
- `tests/agent/test_arcee_trinity_overrides.py`: added 5 cases for the
helper — raise from default, never-lower regression, equal-is-noop,
no-override passthrough, and non-codex (Trinity) unconditional apply.
1. Set `compression.threshold: 0.90` and run gpt-5.5 on provider `openai-codex`.
2. Before: effective threshold drops to 0.85, no notice. After: stays 0.90.
3. Run `scripts/run_tests.sh tests/agent/test_arcee_trinity_overrides.py`.
Stash `agent/agent_init.py` and the new cases fail; restore and they pass.
- [x] I've read the [Contributing Guide](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md)
- [x] My commit messages follow [Conventional Commits](https://www.conventionalcommits.org/) (`fix(scope):`, `feat(scope):`, etc.)
- [x] I searched for [existing PRs](https://github.com/NousResearch/hermes-agent/pulls) to make sure this isn't a duplicate
- [x] My PR contains **only** changes related to this fix/feature (no unrelated commits)
- [x] I've run `pytest tests/ -q` and all tests pass
- [x] I've added tests for my changes (required for bug fixes, strongly encouraged for features)
- [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) per the [compatibility guide](https://github.com/NousResearch/hermes-agent/blob/main/CONTRIBUTING.md#cross-platform-compatibility) — or N/A
- [x] I've updated tool descriptions/schemas if I changed tool behavior — or N/A
gpt-5.3-codex-spark has a native 128K context window but the default
50% compaction trigger fires at ~64K, wasting half the usable window
before the session has accumulated enough turns to summarize
meaningfully. This raises the trigger to 70% (~90K) on the Codex OAuth
route only, leaving ~38K headroom for the summary and continued
conversation before the 128K hard limit.
The override is not gated by allow_codex_gpt55_autoraise because 128K
is the model's native window (unlike gpt-5.5's artificial 272K Codex
cap). Non-Codex routes are unaffected.
Also adds a boundary regression test verifying the short-session
scenario from the issue always yields a non-empty compressible window
(no silent context wipe).
The ChatGPT Codex OAuth backend caps both gpt-5.4 and gpt-5.5 at a 272K
context window, but the autoraise that lifts the compaction trigger to 85%
only matched gpt-5.5. On gpt-5.4 the global 50% threshold fired at ~136K —
half the usable window — compacting far earlier than necessary.
Rename _is_codex_gpt55 -> _is_codex_gpt54_or_gpt55 and match both families.
The one-time user notice is now model-aware (shows the actual slug). The
config key codex_gpt55_autoraise is kept as-is for backward compatibility.
Adds gpt-5.4 coverage to the autoraise tests.
build_preloaded_skills_prompt() (hermes -s <skill>, and tui_gateway's
HERMES_TUI_SKILLS deployment env var) loads skills via _load_skill_payload()
with a raw identifier, bypassing get_skill_commands()' scan-time disabled
filter entirely. Result: a skill an operator disabled via skills.disabled
still gets force-loaded and injected into every session — including every
session on a shared tui_gateway deployment where the operator set
HERMES_TUI_SKILLS.
The bundle-invocation path (#59156) already re-checks get_disabled_skill_names()
for exactly this reason; preloaded-skill loading was the other _load_skill_payload
call site still missing it.
Fix: check each resolved skill's name (and raw identifier) against
get_disabled_skill_names() before injecting it. A disabled skill is now
reported the same way an unknown one already is (skipped, listed in the
returned missing_identifiers) — no return-shape or caller changes needed.
No behavior change when no skill is disabled.
_classify_by_status() routes every other transient HTTP status to a retryable
reason (500/502 -> server_error, 503/529 -> overloaded, 429 -> rate_limit,
413 -> payload_too_large), but 408 Request Timeout fell through to the generic
`400 <= status < 500` branch and was classified as a non-retryable
format_error -- the same bucket as a 400 Bad Request.
A 408 is a transient timing failure the server itself flags as safe to retry
(RFC 9110 15.5.9), not a malformed request, so the retry loop aborted the turn
when a simple retry would recover. Common trigger: a reverse proxy in front of
a self-hosted backend (llama.cpp / Ollama / vLLM) returns 408 when a long
generation outruns the proxy's request-read window.
Route 408 to the existing FailoverReason.timeout (rebuild client + retry).
Add a regression test plus a boundary test asserting 400 stays non-retryable.
When the main agent uses a named custom provider (custom:<name>),
resolve_runtime_provider correctly resolves the base_url and api_key.
But the auxiliary client re-resolves from the bare 'custom' provider
name, losing the provider identity. The bare 'custom' falls back to
OpenRouter, which _resolve_custom_runtime() then rejects — leaving all
auxiliary tasks (title gen, compression, vision, session search, etc.)
with no credentials.
Fix: when resolve_provider_client receives a main_runtime dict
containing concrete base_url + api_key, use it directly instead of
re-resolving. The main agent already solved provider resolution;
the auxiliary client just needs to reuse its answer.
Closes#45472
Follow-up to the #55911 salvage: inherit model.api_key only when the aux
base_url resolves to the same hostname as the main model's base_url
(runtime override or config). A misconfigured aux endpoint on a different
host keeps the fail-safe no-key-required placeholder instead of leaking
the main credential cross-host.
When an auxiliary task is configured with provider=custom and an explicit
base_url but an empty api_key, the custom_key fallback chain in
resolve_provider_client() jumped straight to the no-key-required
placeholder without consulting model.api_key from config.yaml. Users
on self-hosted gateways who share the same endpoint and credentials for
both the main model and auxiliary tasks got 401 auth errors.
Add _read_main_api_key() following the same pattern as _read_main_model()
and _read_main_provider(): checks _RUNTIME_MAIN_API_KEY (runtime override)
first, then config.yaml model.api_key. Insert it into the fallback chain
before no-key-required so real credentials are used when available, while
local servers without auth still get the placeholder.
Skill bundles load their member skills via _load_skill_payload directly,
bypassing the scan-time disabled filter in get_skill_commands(). PR #58888
closed this gap for stacked slash-skill invocations, but /<bundle> dispatch
in the gateway had the same class of bypass: a skill an operator disabled
for a platform via skills.platform_disabled still got its full content
injected when referenced by a bundle.
build_bundle_invocation_message() now accepts a platform kwarg, filters
members against get_disabled_skill_names(platform=...), and reports skipped
skills in the bundle header. Gateway dispatch passes the event's platform
explicitly (env-var resolution can't be trusted in the multi-platform
gateway process, same reasoning as the #58888 gate).
_resolve_task_provider_model returns early on an explicit provider arg,
which skips the config block that consults auxiliary.<task>.base_url /
api_key. Any caller passing provider explicitly (e.g.
resolve_vision_provider_client(provider="custom", ...)) bypasses the
configured custom endpoint and falls through to main-runtime resolution,
silently routing the task to the wrong backend.
Adopt the task's configured base_url/api_key before the early returns,
but only when no explicit base_url was given and the config targets the
same provider (or names none) — a caller forcing a *different* provider
keeps full explicit-arg priority, and an explicit base_url still wins
over config.
Fixes#58515
Port from openclaw/openclaw#95108: an unbounded response.read() on a
non-OK *streaming* response can balloon memory (huge body) or hang the
agent forever (body opens then stalls with no further bytes). The
diagnostic body is only ever shown truncated, so reading megabytes or
blocking indefinitely buys nothing.
Add agent/bounded_response.read_streaming_error_body() which caps the
read at a byte limit and enforces a hard wall-clock deadline (run on a
worker thread so it can interrupt a socket read that stalls mid-chunk,
which a between-chunk wall-clock check cannot). Wire it into all three
streaming error-body sites that previously did a bare response.read():
native Gemini, Gemini Cloud Code, and Antigravity Cloud Code. The
existing error builders now accept an optional pre-read body_text so
classification (status code, RESOURCE_EXHAUSTED, free-tier guidance,
Retry-After) is preserved unchanged.
Tests use a real in-process socket server (no mocks): oversize body is
capped, stalled body hits the deadline with partial text preserved,
normal error envelope reads intact and parses.
_redact_env already skips redaction when a KEY=value assignment's value is
a programmatic env lookup (os.getenv(...), os.environ[...], process.env.X)
per issue #2852 — masking it would corrupt a code snippet, not redact a
secret. _redact_json (JSON "key": "value" syntax) and _redact_yaml
(unquoted key: value syntax) are separate closures in the same function
and never got the same check, so the identical code-snippet-in-config-
syntax case still gets mangled:
{"apiKey": "os.getenv('OPENAI_API_KEY')"} -> {"apiKey": "os.get...EY')"}
api_key: os.getenv("OPENAI_API_KEY") -> api_key: os.get...EY")
Fix: apply the same _ENV_LOOKUP_VALUE_RE.match(value) check in both
closures before masking, mirroring _redact_env exactly. Real secret
values in JSON/YAML syntax are still redacted (verified live and via new
tests) — this only skips the case where the "value" already look like a
code snippet.
The google-antigravity and google-gemini-cli OAuth providers were removed
in #50492. They were the only producers of a cloudcode-pa:// base_url, so
the account-level-quota early-returns in _pool_may_recover_from_rate_limit
and _credential_pool_may_recover_rate_limit are now unreachable.
- Drop the dead cloudcode-pa:// checks and the now-unused provider/base_url
params on _pool_may_recover_from_rate_limit (only caller updated).
- Prune the obsolete CloudCode-specific regression tests; keep the live
single/multi-entry pool-rotation invariants (#11314).
ruff check --fix --select F541 . on current main. Pure prefix removals;
adjacent-string concatenations keep the f only on interpolating fragments.
No string content or live placeholder altered.
The two TestSourceGuardrail tests asserted the presence of literal
strings ("#58753", "_user_survives") in context_compressor.py. Those
are change-detector tests that break on any refactor without catching a
real regression. The four behavioral tests in
TestCompressAlwaysKeepsAUserTurn already exercise the real compress()
path and fully cover the invariant (user turn survives, summary pinned
to user, no consecutive user roles, surviving tail user untouched).
Regression coverage for the kanban-worker crash where compression left a
transcript with no user-role messages, triggering a non-retryable
`400 No user query found in messages` from vLLM/Qwen.
Exercises the real `compress()` path with the reporter's shape (no system
prompt in the list, a re-compaction with the only user turn in the
compressed middle) and asserts the output always keeps >=1 user turn,
never introduces consecutive user roles, and leaves a surviving tail user
message untouched. A source guardrail pins the guard so a future refactor
cannot silently drop it.
Inspired by Claude Code v2.1.199 (July 2, 2026): stacked slash-skill
invocations load all leading skills (up to 5), not just the first.
- agent/skill_commands.py: split_stacked_skill_commands() consumes leading
/skill tokens (stops at the first non-skill token so slash-path arguments
are never swallowed); build_stacked_skill_invocation_message() composes
the multi-skill turn reusing the existing bundle scaffolding markers so
extract_user_instruction_from_skill_message() keeps memory providers
storing the user's instruction, not N skill bodies.
- cli.py + gateway/run.py: dispatch the stacked path on both surfaces.
- 11 new tests + docs section in skills.md.
Inspired by Claude Code v2.1.199 (July 2, 2026): SSL certificate errors
(TLS-inspecting proxies, missing CA bundles, expired certs) no longer
burn retries before showing actionable guidance — they fail immediately
with the fix hint.
- agent/error_classifier.py: new FailoverReason.ssl_cert_verification +
_SSL_CERT_VERIFY_PATTERNS, checked BEFORE the transient-SSL patterns
(cert-verify messages also contain '[SSL:' and previously retried
forever as timeout). Non-retryable, no compression, no fallback churn.
- agent/conversation_loop.py: dedicated status line + per-cause fix
hints (corporate proxy CA bundle, certifi refresh, self-signed local
endpoints) on the non-retryable abort path.
- 7 new tests incl. regression guards (transient alerts still retry,
large-session cert failure doesn't trigger compression).
_try_anthropic() hard-failed (return None, None) when the anthropic
credential pool was present but had no selectable entry — e.g. the pooled
OAuth token expired and its refresh_token had gone stale, so
_select_pool_entry("anthropic") returned (True, None). This wedged every
auxiliary task routed to Anthropic (goal judge surfaced "no auxiliary
client configured") even when a perfectly valid ANTHROPIC_TOKEN /
credentials-file token was available. The main session stayed healthy
because it resolves the env token directly.
The openrouter path (_try_openrouter) and codex path already fall through
to their standalone credential on (True, None); anthropic was the only
provider that hard-failed. Make _try_anthropic fall through to
resolve_anthropic_token() on that branch so the three paths are symmetric:
a temporarily dead pool entry must not block auxiliary tasks when a valid
standalone credential exists.
Adds a regression test covering: (1) pool present + no entry + valid env
token -> client built from the env token, (2) pool present + no entry + no
resolvable token -> clean (None, None), (3) base_url defaults correctly
when falling through with pool_present=True.
'KEY=os.getenv(...)' / 'os.environ[...]' / 'process.env.X' values are
variable-name references in code snippets, not leaked secrets. Masking
them corrupted pasted code in prose/log contexts (issue #2852):
ha_token=os.getenv('HOMEASSISTANT_TOKEN') -> ha_token=os.get...EN').
Skip these values inside _redact_env, which covers all three passes that
share the closure (_ENV_ASSIGN_RE, _CFG_DOTTED_RE, _CFG_ANCHORED_RE).
Real secret values are still masked.
Salvage of PR #2852-fix #2854 — the PR's own placement (an unconditional
pass before the code_file gate) would have reintroduced the code-file
false-positive class; the skip is applied inside the existing gated pass
instead. Tests adapted from the PR.
Co-authored-by: crazywriter1 <sampiyonyus@gmail.com>
22c5048d9 restored Anthropic-style cache_control for two of MoA's three
call paths: the acting aggregator (MoAChatCompletions.create, the
persistent `provider: moa` model) and the advisor fan-out (_run_reference).
aggregate_moa_context() -- the /moa <prompt> one-shot command's synthesis
call -- is the third, independent call path and was never covered: its
call_llm(task="moa_aggregator", ...) sent a single undecorated user message
containing the full joined reference output, re-billing the entire input on
every invocation even when the resolved aggregator slot is a cache-honoring
route (Claude on OpenRouter/native Anthropic, MiniMax, Qwen/DashScope).
- Generalize _maybe_apply_advisor_cache_control to
_maybe_apply_moa_cache_control (it never had advisor-specific logic --
same policy function, same breakpoint layout as the main loop, judged
purely on the passed-in runtime) and reuse it in aggregate_moa_context
the same way _run_reference already does.
- Compute _slot_runtime(aggregator) once and reuse it for both the
decoration call and the call_llm kwargs, instead of calling it twice.
Mutation-verified: reverting the moa_loop.py change makes the new
regression test fail by asserting a plain string aggregator-message
content where the cache-honoring case expects native cache_control
content blocks.
Two review findings on the #57922 salvage:
1. Stale inline comment at the login-exchange site still claimed the token
endpoint uses the claude-code/ UA prefix and 404s claude-cli/ — now
contradicts the axios/ fix. Repointed it at _OAUTH_TOKEN_USER_AGENT.
2. The inherited Path.home test isolation on the three TestRefreshOauthToken
tests only stubbed the ~/.claude *file* source, not the macOS Keychain.
_refresh_oauth_token re-reads read_claude_code_credentials() (keychain
first) in its adopt-already-refreshed branch, so on any macOS dev/CI runner
with real Claude Code creds the branch short-circuits and the 3 tests fail.
Stub read_claude_code_credentials -> None so the tests are hermetic.
(The remaining TestResolveAnthropicToken/TestResolveWithRefresh/TestRunOauthSetupToken
failures on macOS are the same pre-existing keychain-leak class on origin/main,
unrelated to this OAuth-UA fix, and pass in CI — left out of scope.)
hermes auth add anthropic fails 100% at token exchange with HTTP 429 while
Claude Code /login succeeds through the same client_id/redirect/scope. The
discriminator is the User-Agent on the /v1/oauth/token request.
Verified live against platform.claude.com (throwaway code, nothing burned):
claude-code/2.1.200 (external, cli) -> 429 rate_limit (Hermes, blocked)
Mozilla/5.0 -> 429 rate_limit
axios/1.7.9 -> 400 invalid_grant (reached validation)
node / empty / SDK-style UAs -> 400 invalid_grant
Anthropic now rate-limits token-endpoint requests whose UA starts with
claude-code/ (the anti-abuse net for Max-sub-as-API-key). This is the same
prefix-block shape that #48534 first hit on claude-cli/, then #56263 dodged by
switching to claude-code/ — which held ~2 weeks and is now blocked too. Bumping
_CLAUDE_CODE_VERSION_FALLBACK cannot help; the gate is prefix-based.
Fix: shared _OAUTH_TOKEN_USER_AGENT (axios/) on the token endpoint only — the
two refresh POSTs (refresh_anthropic_oauth_pure) and the login exchange POST
(run_hermes_oauth_login_pure). The real Claude Code CLI exchanges the auth code
with a bare axios client, NOT its claude-code/ inference UA.
The INFERENCE client (build_anthropic_kwargs, /v1/messages) is deliberately left
on claude-code/ + x-app: cli — that fingerprint is required there and is NOT
throttled on the messages API. Two endpoints, opposite UA requirements.
Also isolate two _refresh_oauth_token tests from live ~/.claude creds and update
the UA regression tests to assert the split (token endpoint uses a
non-claude-code UA while inference keeps claude-code/).
Verified E2E: Hermes' own login path now returns 400 (past the 429 wall)
instead of 429, using the real _OAUTH_TOKEN_USER_AGENT constant against the live
platform.claude.com token endpoint.
Salvaged from #57922 (authorize-host + scope changes dropped as non-load-bearing;
they only add a redirect hop back to claude.ai and the UA fix alone clears 429).
Follow-up to the salvaged #57845 fix. _can_carry_marker used
any(isinstance(part, dict)) but _apply_cache_marker only marks the LAST
content part, so a list whose last element is a non-dict passed the carrier
gate yet received no marker — wasting one of the four breakpoints. Tighten
the predicate to require content[-1] to be a dict (mirroring the apply
logic) and add a regression test. Flagged by a 3-agent review.
A custom:<name> main provider resolves at runtime to the bare provider id
"custom". In the vision auto-detect chain, the main-provider branch called
resolve_provider_client("custom", ...) WITHOUT explicit_base_url/api_key,
so it returned (None, None) ("no endpoint credentials found") and the whole
chain fell through to OpenRouter/Nous. A user on a custom endpoint with no
aggregator configured then got "No LLM provider configured for task=vision
provider=auto" on every image, even though their main model fully supports
vision.
Recover the live endpoint that set_runtime_main() records each turn
(_RUNTIME_MAIN_BASE_URL/_API_KEY/_API_MODE) and forward it to Step 1, with
a fallback to _resolve_custom_runtime() for non-gateway callers. Mirrors the
existing explicit-base_url branch directly above.
Adds TestResolveVisionCustomProvider covering custom, custom:<name>, and the
no-runtime fallback path.
When model.provider is set to custom:<name>, _supports_vision_override()
previously tried only the runtime provider key ('custom') and the raw
config value ('custom:my-proxy'). It did not try the stripped name
('my-proxy'), which is the actual key under providers: in config.yaml.
This caused native image routing to fall back to text mode even when the
user explicitly declared supports_vision: true on the named provider's
model entry.
Fixes#39963
Follow-up to the per-site strips from the review gate. The two copy-site
strips are correct but positional — a copy site added after the assembly
loops would re-leak _db_persisted into the child-session flush. Add a single
terminal sweep (_strip_persistence_markers) run once on the fully-assembled
compressed list so the invariant 'no compacted message leaves compress()
carrying a persistence marker' is structural, not dependent on copy-site order.
- agent/context_compressor.py: _strip_persistence_markers() called before
compress() returns; helper docstring notes the sweep is the authoritative guard
- tests/agent/test_context_compressor.py: structural regression — neuter the
per-site helper to a leaking copy, assert the terminal sweep still strips
- tests/run_agent/test_compression_persistence.py: pin the fixture assumption
behind the exact-equality row-count assertion
