The credential gate. When multiplexing is active, a profile's secrets resolve
from a context-local scope, never the process-global os.environ (which in a
multiplexer may hold another profile's keys, and is inherited by every
subprocess spawned with env=dict(os.environ)).
- agent/secret_scope.py: get_secret() backed by a secret-scope contextvar.
FAIL-CLOSED: when multiplex is active and no scope is installed, an unscoped
read RAISES UnscopedSecretError instead of falling back to os.environ — a
missed/new call site crashes loudly at that line rather than leaking a
cross-profile value. Genuinely-global vars (HERMES_*, PATH, kanban paths,
…) keep reading os.environ via an allowlist. load_env_file/build_profile_
secret_scope parse a profile .env into an isolated dict WITHOUT mutating
os.environ. Off by default => transparent os.getenv behavior.
- hermes_cli/runtime_provider.py: all credential/provider/base-url reads go
through _getenv -> get_secret.
- agent/credential_pool.py: env fallbacks route through get_secret (the
~/.hermes/.env-first preference is preserved and already profile-correct via
the home override).
- tools/mcp_tool.py: MCP config interpolation resolves through
get_secret, so a server's picks up the routed profile's value.
- gateway/run.py: set_multiplex_active() at GatewayRunner init; per-turn .env
reload is a no-op for credentials in multiplex mode (secrets come from the
scope, not global env); _profile_runtime_scope context manager combines the
HERMES_HOME override + secret scope; _run_agent wraps _run_agent_inner in
that scope (resolved via _resolve_profile_home_for_source) when multiplexing.
Propagates into the agent worker thread for free via the existing
copy_context() in _run_in_executor_with_context.
Tests: 13 unit (fail-closed, scope isolation, global allowlist, .env parsing
without environ mutation) + 7 E2E (runtime_provider + MCP interpolation prove
two profiles isolated, unscoped read raises, globals still read environ).
Add platform_hints config so an admin can append to or replace Hermes'
built-in platform hint for a single messaging platform (WhatsApp, Slack,
Telegram, ...) without affecting other platforms. Enables enterprise
managed profiles to steer platform-aware skills (e.g. invoke a custom
table-formatting skill on WhatsApp where Markdown tables don't render)
while leaving Telegram/Slack/CLI behavior unchanged.
- hermes_cli/config.py: document platform_hints in DEFAULT_CONFIG
- agent/agent_init.py: load platform_hints -> agent._platform_hint_overrides
- agent/system_prompt.py: _resolve_platform_hint() applies append/replace
(replace wins; bare string = append shorthand); defensive on bad config
- tests: 16 cases covering append/replace/shorthand/isolation/malformed
Override only affects the platform-hint segment of the system prompt;
SOUL/context/memory tiers and general instructions are unchanged.
* feat(billing): nous_billing http client + BillingState core (phase 2b)
Phase 2b terminal-billing client foundation:
- hermes_cli/nous_billing.py: typed client for the 4 /api/billing/* endpoints
(state/charge/poll/auto-top-up). Raises typed errors (BillingScopeRequired,
BillingRateLimited, BillingAuthError) mapped from the live-verified contract;
fail-open is the caller's job. Idempotency-Key enforced client-side.
- agent/billing_view.py: surface-agnostic BillingState core + Decimal money
parsing (server emits decimal strings, not 2dp), fail-open builder,
idempotency-key gen, custom-amount validation.
- 51 unit tests (decimal parse/format, payload tiering, error->exception
matrix, fail-open, amount validation).
Plan: docs/plans/2026-06-13-001-phase-2b-terminal-billing-tui-plan.md
* feat(billing): billing:manage scope + lazy step-up re-auth (phase 2b)
- NOUS_BILLING_MANAGE_SCOPE constant.
- nous_token_has_billing_scope(): split-based scope check (no false-positive
substring match).
- step_up_nous_billing_scope(): re-runs the device flow requesting
billing:manage, reusing the held credential's portal/inference URLs + client_id
(so a preview stays a preview), persists like _login_nous but WITHOUT the model
picker. Returns True iff the minted token carries the scope (False when NAS
silently downscopes a non-admin / unticked grant).
Lazy step-up (plan D-A): normal login path unchanged; 403 insufficient_scope
from a billing call triggers this. 7 unit tests.
* feat(billing): billing JSON-RPC methods for the TUI (phase 2b)
billing.state / charge / charge_status / auto_reload / step_up in
tui_gateway/server.py. Return STRUCTURED success envelopes (result.ok +
result.error=<code>) rather than JSON-RPC-level errors, so the Ink rpc() promise
always resolves and the TUI branches on the typed billing error code
(insufficient_scope, rate_limited, no_payment_method, …) to render the right
affordance. Money serialized as decimal STRINGS + display strings. charge mints
+ echoes an idempotency_key for retry reuse. 16 unit tests.
* feat(billing): /billing CLI handler + command registry (phase 2b)
- CommandDef("billing", subcommands=buy|auto-reload|limit), added to
_SLACK_VIA_HERMES_ONLY so it routes via /hermes on Slack (keeps the 50-cap
parity test green, same as /credits).
- cli.py::_show_billing + screen helpers: all 5 screens (overview, buy→confirm→
poll, auto-reload, monthly-limit read-only). Reuses _prompt_text_input_modal /
_prompt_text_input (D-C). Non-interactive (_app is None) renders text + portal
deep-link, never prompts (R7). Decimal money end-to-end. 2s/5-min cancellable
poll loop; 429/503 = retry not failure; settled = ledger truth. Lazy step-up on
403 insufficient_scope. no_payment_method treated as mainline funnel-to-portal.
- 6 CLI tests; 156 command tests (incl. Slack/Telegram parity) green.
* feat(billing): /billing Ink TUI screens + tests (phase 2b)
- ui-tui/src/app/slash/commands/billing.ts: /billing TUI command covering all 5
screens — overview (text), buy <amt> → ConfirmReq → charge → non-blocking 2s/
5-min poll loop → settled/failed/timeout branches, auto-reload <below> <to> →
ConfirmReq → PATCH, limit (read-only). Reuses the existing ConfirmReq overlay
(D-C) — no bespoke component. Typed-error envelope branching: insufficient_scope
arms the lazy step-up confirm; no_payment_method/rate_limited/cap funnel to
portal. Client-side amount validation mirrors the server (bounds + 2dp).
- gatewayTypes.ts: Billing* response interfaces.
- registry.ts: register billingCommands.
- billingCommand.test.ts: 12 vitest cases (overview/gating/buy-confirm-poll-
settled/no_payment_method/step-up/limit/auto-reload/validation).
TUI build green; 12/12 vitest pass; slash tests pass once @hermes/ink is built.
* docs(billing): scrub private cross-repo references
NAS is a private repo — remove all references to it from the public PR:
- drop the cross-repo planning doc (planning scaffolding, not a deliverable;
the PR description documents the design)
- replace 'NAS' / 'PR #412 preview' mentions in code + test comments with
generic 'the server' / 'a preview deployment'
* docs(billing): scrub final NAS reference in step-up docstring
* docs(billing): drop dangling plan-doc refs
The phase-2b plan doc was removed in the cross-repo scrub (300afcc0b)
but two module docstrings still pointed at it. Drop the dead refs.
* feat(billing): interactive /billing overlay + step-up UX, portal-URL & token fixes
Adds the interactive /billing TUI overlay and hardens the terminal-billing
client across CLI and TUI.
- TUI: full /billing overlay state machine (overview to buy to confirm,
auto-reload, read-only monthly limit) reusing the existing confirm overlay.
- Step-up: surface the verification link in-transcript and open the browser
via the TUI's own opener (the device flow runs in the headless gateway, so a
printed URL was being dropped); run the step-up handler off the main loop and
emit the link as an out-of-band event so the gateway stays responsive.
- Step-up copy is scope-accurate ("Billing permission granted") and re-checks
/state so it never claims "enabled" when the org kill-switch is still off.
- Portal deep-links resolve to absolute URLs against the active portal base
(the server emits them relative) - fixes a bare "/billing?topup=open" link.
- Billing calls refresh an expired access token via the stored refresh token
instead of reporting a false "not logged in".
- Optimistic funnel: advise "set up a saved card on the portal" up front when
no card is on file (advisory, not a hard gate).
- Token resolution is cached briefly so the 2s charge poll loop stops
re-locking + re-reading the auth store on every tick; 401 re-resolves fresh.
- Remove the temporary demo-mode shims.
Validation: 87 Python billing tests, 88 TS tests (billing command + gateway
event handler), tsc clean, ink + ui-tui builds green.
* docs(billing): add /billing TUI screenshots for PR
* fix(cli): guard _last_invalidate on bare instances; update stale prompt-fallback test
The UI-invalidate throttle read self._last_invalidate unconditionally, which
raised AttributeError on HermesCLI instances built without __init__ (the
thread-safety test's object.__new__ shell). Guard the read with getattr.
The off-main-thread branch of _prompt_text_input was changed (#23185) to cancel
cleanly to None instead of falling back to a bare input() that would hang on the
slash-worker thread; the test still asserted the old direct-input fallback.
Update it to assert the current intended behavior: returns None, calls neither
run_in_terminal nor input(), and does not hang.
The universal PARALLEL_TOOL_CALL_GUIDANCE block already lives on main, but it
shipped with two rough edges this change cleans up:
- It duplicated the batching steer for Google models. The
GOOGLE_MODEL_OPERATIONAL_GUIDANCE block still carried its own
"Parallel tool calls" bullet, so Gemini/Gemma received the instruction
twice in one prompt. Drop the redundant bullet — the universal block is now
the single source.
- Its comment claimed "nothing in the open-source system prompt encouraged
batching," which was wrong: the steer existed for Google models only. Reword
to say the gap was that every *other* model got nothing.
- Tighten the test that asserts the steer (precedence-correct), and add an
invariant guarding against re-introducing the Google duplicate.
* Port from cline/cline#11514: encourage parallel tool calls
Add a universal system-prompt guidance block telling the model to batch
independent tool calls (reads, searches, web fetches, read-only commands)
into a single assistant turn instead of one call per turn. The runtime
already executes independent batches concurrently (read-only tools always;
non-overlapping path-scoped file ops); the open-source system prompt had
nothing steering the model to PRODUCE the batch. Fewer round-trips means
less resent context, which compounds over a long conversation.
- prompt_builder.py: new PARALLEL_TOOL_CALL_GUIDANCE block (short, static,
cache-amortised) modeled on TASK_COMPLETION_GUIDANCE.
- system_prompt.py: inject right after the task-completion block, gated by
agent.valid_tool_names + the new toggle.
- agent_init.py: read agent.parallel_tool_call_guidance (default True).
- config.py: add the default under the agent section.
- test_prompt_builder.py: behavior-contract tests (batching steer, dependent
carve-out, length bound) — invariants, not wording snapshots.
Adapted from Cline's TypeScript tool-surface guidance to hermes-agent's
Python prompt-assembly architecture and config-over-env conventions.
* fix(desktop): never persist or restore a named custom provider as bare "custom"
Custom providers vanish from the Desktop/TUI model picker with
"No LLM provider configured" — repeatedly fixed (#44062, #44109, #45578)
and repeatedly regressed (#44022, #47714) because every fix only recovered
the entry identity from a persisted base_url. When a session is
persisted/restored with the resolved provider "custom" and NO base_url, bare
"custom" leaked through verbatim; resolve_runtime_provider("custom") routes to
the OpenRouter default URL with no api_key, so the next turn/resume dies.
Bare "custom" is the resolved billing class shared by every named providers:/
custom_providers: entry — it is not a routable identity. Centralize the
"never let bare custom escape" invariant in one helper,
runtime_provider.canonical_custom_identity(), and apply it at all four leak
sites in tui_gateway/server.py:
- _ensure_session_db_row — the ORIGIN: first DB write seeds the bad row
- _runtime_model_config — live persist
- _stored_session_runtime_overrides — resume restore (heals old rows; drops
unrecoverable bare custom so resume falls back to config default)
- _make_agent — rebuild / per-turn
The helper recovers custom:<name> from the endpoint URL when present, else
from config.model.provider (the durable identity left when no base_url
survived). Regression tests in test_custom_provider_session_persistence.py
lock the no-base_url vector at every site so it cannot regress again.
Salvage corrections on top of @XVVH's #44341:
- Make native web_search injection a 1:1 swap for an already-present client
web_search function, NOT an additive grant. The original unconditionally
appended {"type":"web_search"} on every is_xai_responses turn with any
tools, force-enabling Grok server-side search even when the user never
enabled the web toolset (bypassing Hermes web-provider config + tool-trace
plumbing). Now gated on a client web_search actually being present.
- Reconcile grok-composer context to 200000 (merged in #47908) rather than
262144; 200k is xAI's published usable context window for Composer 2.5,
262144 is the /v1/responses input+output budget.
- Update tests to match scoped behavior + add a no-web-toolset guard test.
- AUTHOR_MAP entry for #44341 salvage.
Incomplete-guard (server-side *_call items at in_progress no longer flip
has_incomplete_items) and preflight built-in-tool allowlist kept as-is.
- model_metadata: grok-composer-2.5-fast → 262144 (OAuth slug not in /v1/models)
- codex transport: inject native {"type":"web_search"} for is_xai_responses;
drop client web_search to avoid duplicate-name 400s
- codex adapter: do not treat in-progress server-side *_call items as incomplete
- tests: adapter, transport build_kwargs, model_metadata, oauth recovery
Weak open models (mimo, nemotron-class) that see tool-call XML/JSON sitting in
file contents or tool output get primed and emit their own structured tool
calls mimicking the payload — usually with an empty/whitespace name. Those
calls can't be fuzzy-repaired toward a real tool, so the dispatch loop returns
an error and the model retries. Before this fix, every empty-name error dumped
the full tool catalog back to the model, which fed the priming loop more names
to mimic and inflated context 3-4x across the retry budget.
A blank/whitespace-only tool name now gets a terse anti-priming error that
tells the model in-context tool-call syntax is DATA, with no catalog dump. A
genuinely-wrong-but-nonempty name (a real typo) still gets the full catalog so
the model can self-correct.
Not a sandbox/auth boundary issue: Hermes never parses tool-call text from
content into executable calls (structured tool_calls only; the lone text->call
parser is the Copilot ACP transport and it also rejects empty names). The
reporter's own debug dump confirms the injection never executed.
Behavior-contract test added: empty-name -> terse error, no catalog; nonempty
unknown -> catalog preserved. Exercised end-to-end via run_conversation against
an in-process mock provider.
Context files (AGENTS.md, CLAUDE.md, .hermes.md, .cursorrules, SOUL.md) were
hard-capped at a flat 20K chars before head/tail truncation. Among the agent
harnesses we track, only Codex caps project docs at all (32 KiB); Claude Code,
OpenCode, and Cline load them whole. The flat 20K predates large context
windows and silently truncates real-world AGENTS.md files.
B — dynamic cap: when context_file_max_chars is unset (now the shipped
default), the cap scales with the model's context window
(ctx_tokens * 4 * 0.06, floor 20K, ceiling 500K). Small-context models stay at
the historical 20K; a 200K model gets 48K; large models stop truncating real
docs. An explicit context_file_max_chars still wins. Context length is resolved
once per conversation (stable -> prompt cache untouched).
C — when truncation does happen, the marker now names the concrete file path
and tells the agent to read_file it for the full content.
Validation: 154 targeted tests + full agent/ + hermes_cli/ + test_config
(0 failures); E2E against a real 60K AGENTS.md confirms small windows truncate
with the path-bearing marker, large windows load whole, and the system prompt
is byte-stable across rebuilds.
Rolling back to the oldest curator snapshot failed and deleted that
snapshot. rollback() takes a safety snapshot first, and snapshot_skills()
ends by pruning the backups directory down to keep (5 by default). At the
steady keep limit that prune removed the oldest snapshot, which is the very
one being restored, so the extract found no skills.tar.gz and the rollback
stopped with "snapshot extract failed (state restored)".
Thread an optional protect set through snapshot_skills() into _prune_old()
so the pre rollback safety snapshot can never evict the snapshot being
restored. Add two regression tests covering restore of the oldest snapshot
at the keep limit.
Fixes#47612
The curator now defaults to prune-only: the deterministic inactivity pass
(mark stale / archive long-unused skills) still runs whenever the curator is
enabled, but the opinionated LLM umbrella-building consolidation fork is OFF
by default.
- agent/curator.py: add DEFAULT_CONSOLIDATE=False + get_consolidate(); gate
the forked aux-model review in run_curator_review behind it (new consolidate
param, None=read config). When off, the LLM pass is skipped entirely (no
aux-model cost); the run is still recorded and reported.
- config.py: add curator.consolidate (default false); v29->v30 migration seeds
the key for existing installs without clobbering a user-set value.
- hermes_cli/curator.py: 'hermes curator run --consolidate' override; status
shows consolidate state; prune-only notice on run.
- docs + tests.
The double-underscore prefix swap fixed bare native tools but SKIPPED tools
already named mcp_<server>_<tool> (real MCP servers, e.g. mcp_linear_get_issue):
they went on the OAuth wire single-underscore and still tripped Anthropic's
third-party billing classifier -> HTTP 400 'extra usage, not plan limits'.
Verified empirically against a live Max subscription: a single mcp_ tool flips
the whole request to the extra-usage lane; mcp__ is accepted.
- build_anthropic_kwargs: promote ANY leading single-underscore mcp_ to mcp__
(bare names -> mcp__name; mcp_<server>_<tool> -> mcp__<server>_<tool>),
never double-prefixing an already-mcp__ name. Same for tool_use blocks in
history.
- normalize_response: reverse the mcp__ wire name back to whichever original
the registry knows — the single-underscore mcp_<server>_<tool> form for MCP
server tools, or the bare name for native tools — preferring a name that
already resolves natively.
- Tests rewritten to assert the invariant: ZERO single-underscore mcp_ names
reach the OAuth wire, and the mcp__ round-trip resolves back to the
registered name for both native and MCP-server tools.
Builds on liuhao1024's mcp__ prefix commit (cherry-picked). Closes the
MCP-server gap that left any session with an MCP server configured still
billing to extra usage.
Anthropic's Claude-Code request classifier treats tool names with a
single-underscore `mcp_<x>` prefix as non-Claude-Code / third-party,
routing the request to extra-usage billing (HTTP 400). Real Claude Code
uses double underscores: `mcp__<server>__<tool>`.
Change the tool-name prefix from `mcp_` to `mcp__` in both the outgoing
path (build_anthropic_kwargs) and the incoming path
(normalize_response). Update the skip-guard to check for both `mcp_`
and `mcp__` prefixes so native MCP server tools (which use the legacy
single-underscore format) are not double-prefixed.
Fixes#46675
Support files under references/, templates/, assets/, and scripts/ are progressive-disclosure data loaded through skill_view(..., file_path=...). They should not be treated as standalone skills during discovery or collision checks.
This prevents archived skill packages or support markdown files inside a real skill from shadowing active skills with the same name while still allowing top-level categories named scripts/templates/assets/references.
Tests cover:
- pruning nested SKILL.md files inside skill support directories
- preserving support-named top-level categories
- avoiding skill_view collisions from support markdown
- keeping archived package SKILL.md files accessible only through file_path
Follow-up to salvaged PR #41619: replace the module-global
_truncation_warnings list with a contextvars.ContextVar so concurrent
gateway-session prompt builds can't drain or clear each other's pending
warnings (cross-session leak). Adds a context-isolation test.
PROBLEM: Automatic context files such as SOUL.md and AGENTS.md were capped by a hardcoded CONTEXT_FILE_MAX_CHARS value. Amy's local fork had raised that constant from 20K to 25K so a larger SOUL.md would not be silently truncated, but the hardcoded 25K value changed upstream default behavior and made the patch less generally useful.
SOLUTION: Restore the upstream-compatible 20K default, add a context_file_max_chars config setting for users who intentionally keep larger identity/project-context files, keep chat-visible truncation warnings, and document the new setting. Tests cover the default, config override, explicit max_chars precedence, and the warning text.
Generalizes #32663 (@ehz0ah). The slash-skill scaffolding pollution
affected every auto-syncing memory provider — mem0, hindsight, retaindb,
byterover, honcho, supermemory all store/embed the raw user turn, so a
/skill invocation poisoned their stores with the full skill body, not just
openviking.
- Lift the contributor's parser into agent/skill_commands.py as the canonical
extract_user_instruction_from_skill_message(), co-located with the message
builders so the markers can't drift.
- Strip once in MemoryManager.{prefetch_all,queue_prefetch_all,sync_all} —
fixes the whole provider fan-out, bare /skill turns are skipped entirely.
- OpenViking's _derive_openviking_user_text() now delegates to the shared
helper as defense-in-depth (no duplicated marker literals).
- Marker-drift regression now asserts against the canonical skill_commands
constants; add manager-level coverage proving every provider gets clean text.
A live config.set model switch already moved the next API call to the new model,
but the conversation could still restore an old sessions.system_prompt snapshot
whose Model/Provider lines named the previous runtime. That made "what model are
you?" answer from stale metadata even while inference ran on the new model.
After a live switch we now refresh the stored system prompt and append a real
system-history pivot (not a fake user turn) so the transcript itself records the
new model/provider. Restore also rejects already-stale prompt snapshots when
their Model/Provider lines disagree with the runtime, so existing bad sessions
self-heal.
Keep request dump writes on the shared atomic JSON path, add regression coverage for request body/error/stdout redaction, and map the salvaged contributor email for release attribution.
converse() and converse_stream() were added in boto3 1.34.59. When Hermes
is installed editable into system Python (e.g. Ubuntu 24.04 ships 1.34.46),
the system boto3 takes precedence and calls to converse_stream fail with
AttributeError. Add an early version check in _require_boto3() that raises
a clear RuntimeError with upgrade instructions.
Remove the free Parallel Search MCP path and restore the keyed Parallel backend behavior from before it was introduced.
Also drops the keyless fallback registration/display labeling tests and returns the Parallel SDK pin to the prior version.
GLM-5.2 ships with a 1M (1,048,576) token context window. Without this
entry, Hermes falls through to the generic 'glm' key (202,752 tokens),
under-reporting the context bar and prematurely compressing conversations.
The 1M limit was verified empirically via needle-in-a-haystack retrieval
at 789,240 prompt tokens on api.z.ai/api/coding/paas/v4 — zero errors,
zero truncation, correct retrieval at every tested size (25K through 789K).
Changes:
- agent/model_metadata.py: add 'glm-5.2': 1_048_576 before 'glm' fallback
- hermes_cli/models.py: add glm-5.2 to zai curated models
- hermes_cli/setup.py: add glm-5.2 to setup wizard zai list
- hermes_cli/auth.py: add glm-5.2 to coding plan endpoint probes
- plugins/model-providers/zai/__init__.py: add glm-5.2 to fallback_models
- tests/agent/test_model_metadata.py: context resolution + vendor-prefix tests
A chat-completions response that carries real text or tool calls *alongside*
a `message.refusal` note is a normal, usable turn — the model did work. The
prior logic flipped finish_reason to `content_filter` whenever a refusal
string was present, so the conversation loop reframed a content-bearing turn
as a *failed* safety refusal (failed=True) and buried the model's actual
output inside the "model declined" template, or dropped tool calls entirely.
Only promote to a terminal `content_filter` when the refusal is the sole
payload (no visible text AND no tool calls). The refusal explanation is still
recorded in provider_data in every case for observability. Refusal-only
responses (the bug this feature targets) are unaffected and still surface
terminally; the empty+refusal, bare content_filter passthrough, and no-refusal
common cases are byte-identical to before.
Updates the partial-content test to the corrected contract and adds a
tool_calls-alongside-refusal regression guard.
OpenRouter (and every other OpenAI-compatible provider) uses the default
chat_completions transport, so it is already covered by the refusal fix:
an upstream Claude / moderation refusal arrives as
finish_reason="content_filter" (often empty content, no message.refusal).
Add a regression test asserting the transport passes that finish reason
straight through to the loop's content_filter handler.
(cherry picked from commit 60168a513b)
A Claude refusal (HTTP 200, stop_reason="refusal", empty content) was
laundered into a generic retry loop and surfaced as a misleading
"rate limited / invalid response" or "no content after retries" error,
burning paid attempts reproducing a deterministic refusal.
This hit two distinct paths:
- Direct Anthropic (anthropic_messages): validate_response rejected the
empty-content refusal *before* normalize_response mapped refusal ->
content_filter, so it fell into the invalid-response retry loop.
- Nous Portal / OpenAI-compatible (chat_completions): the portal surfaces
a Claude refusal via message.refusal with empty content, which sailed
past validation and died in the empty-response retry loop.
Fix (one unified content_filter dispatch for all backends):
- AnthropicTransport.validate_response: accept empty content when
stop_reason == "refusal" so it flows to normalize_response.
- ChatCompletionsTransport.normalize_response: promote message.refusal to
content + a content_filter finish reason.
- conversation_loop: handle finish_reason == "content_filter" - fire the
api_request_error hook (content_policy_blocked), try a configured
fallback once, else return a clear terminal refusal message. Never retry
a deterministic refusal.
Supersedes #43084, which fixed only the direct-Anthropic path and could
not reach the chat_completions/portal path.
Tests: transport-level (validate_response refusal, message.refusal
promotion) + end-to-end loop (refusal surfaced, exactly one API call).
(cherry picked from commit 01f546f92c)
The previous test patched ssl.create_default_context globally with a bare
SSLContext that has zero CA certs. Both verify_ca_bundle() and the macOS
fallback got the same mocked context, so the test verified nothing useful:
both paths produced empty get_ca_certs() and the assertion that no
exception escaped was vacuously satisfied.
Only mock the fallback call (no cafile) — let the certifi call hit the
real SSL stack and fail with SSLError on the broken PEM. The mock
fallback returns a context with load_default_certs() so the test now
verifies the real scenario: broken certifi → SSLConfigurationError,
macOS system trust store → success.
Also pads the broken PEM past the 1 KB size guard so the size check
doesn't short-circuit before ssl.create_default_context(cafile=...) runs.
Reported by @liuhao1024 in PR review.
A stale certifi CA bundle after a partial `hermes update` used to crash
the agent on the first outbound HTTPS call with a raw traceback and
trap the gateway in a retry loop.
This patch:
* Adds `agent/errors.py` with a typed `SSLConfigurationError`
* Adds `agent/ssl_guard.py` with a `verify_ca_bundle()` pre-flight
that asserts the bundle exists, is non-trivial in size, and can build
a working SSLContext. On macOS, it falls back to the system trust
store when the bundle is empty but the system store is healthy
(covers corporate proxies / MDM setups).
* Wires the guard into `run_agent.py` and `gateway/run.py` right
after the `hermes_bootstrap` import, inside a try/except so a bug
in the guard itself can never prevent startup.
* Adds a `SSL / CA Certificates` section to `hermes_cli doctor` so
users can detect the failure with one command.
* Adds unit tests covering the healthy, missing, empty, skip-env, and
macOS-fallback paths.
* Adds an RCA document describing the failure mode and the recovery
path (`pip install -e .`).
When the bundle is broken the user sees:
\u26a0\ufe0f SSL certificate bundle issue detected.
Run: pip install -e .
`HERMES_SKIP_SSL_GUARD=1` disables the check for sandboxed
environments that ship their own trust store.
Bedrock Converse rejects non-default sampling parameters for Opus 4.7 and 4.8 with a ValidationException. Reuse the Anthropic-native sampling-param guard in the Bedrock kwargs builder so those models omit temperature/topP while older Claude and non-Claude models keep existing behavior.
Includes the stop-sequence regression from the parallel fix to ensure stopSequences still pass through for restricted Opus models.
Co-authored-by: Tranquil-Flow <tranquil_flow@protonmail.com>
Remove the rich_messages config toggle entirely so Telegram replies always try the Bot API 10.1 rich-message path first, with the existing MarkdownV2 fallback/latch behavior for unsupported endpoints and per-message failures.
Restore the Telegram platform hint to encourage rich Markdown tables/task lists/math now that the rich path is the default, and remove the config/docs surface for the old toggle.
Custom endpoints carry two naming conventions for the same provider: the
agent's provider attribute is the generic 'custom' label while the pool
is keyed 'custom:<normalized-name>'. The defensive guard in
recover_with_credential_pool compared them literally, logged
'Credential pool provider mismatch: pool=custom:<name>, agent=custom',
and skipped recovery — so 401 refresh and 429 rotation never ran for
ANY custom-provider user (seen in the field on a Fireworks setup whose
dead key burned full retry cycles every turn with the skip warning on
each one).
Accept the pair only when the agent's CURRENT base_url resolves to the
same pool key via get_custom_provider_pool_key, preserving the guard's
original purpose (#33088/#33163): a fallback provider or a different
custom endpoint still skips pool mutation.
