Kimi's /coding endpoint speaks the Anthropic Messages protocol but has
its own thinking semantics: when thinking.enabled is sent, Kimi validates
the history and requires every prior assistant tool-call message to carry
OpenAI-style reasoning_content. The Anthropic path never populates that
field, and convert_messages_to_anthropic strips Anthropic thinking blocks
on third-party endpoints — so after one tool-calling turn the next request
fails with:
HTTP 400: thinking is enabled but reasoning_content is missing in
assistant tool call message at index N
Kimi on chat_completions handles thinking via extra_body in
ChatCompletionsTransport (#13503). On the Anthropic route, drop the
parameter entirely and let Kimi drive reasoning server-side.
build_anthropic_kwargs now gates the reasoning_config -> thinking block
on not _is_kimi_coding_endpoint(base_url).
Tests: 8 new parametric tests cover /coding, /coding/v1, /coding/anthropic,
/coding/ (trailing slash), explicit disabled, other third-party endpoints
still getting thinking (MiniMax), native Anthropic unaffected, and the
non-/coding Kimi root route.
Fourth and final transport — completes the transport layer with all four
api_modes covered. Wraps agent/bedrock_adapter.py behind the ProviderTransport
ABC, handles both raw boto3 dicts and already-normalized SimpleNamespace.
Wires all transport methods to production paths in run_agent.py:
- build_kwargs: _build_api_kwargs bedrock branch
- validate_response: response validation, new bedrock_converse branch
- finish_reason: new bedrock_converse branch in finish_reason extraction
Based on PR #13467 by @kshitijk4poor, with one adjustment: the main normalize
loop does NOT add a bedrock_converse branch to invoke normalize_response on
the already-normalized response. Bedrock's normalize_converse_response runs
at the dispatch site (run_agent.py:5189), so the response already has the
OpenAI-compatible .choices[0].message shape by the time the main loop sees
it. Falling through to the chat_completions else branch is correct and
sidesteps a redundant NormalizedResponse rebuild.
Transport coverage — complete:
| api_mode | Transport | build_kwargs | normalize | validate |
|--------------------|--------------------------|:------------:|:---------:|:--------:|
| anthropic_messages | AnthropicTransport | ✅ | ✅ | ✅ |
| codex_responses | ResponsesApiTransport | ✅ | ✅ | ✅ |
| chat_completions | ChatCompletionsTransport | ✅ | ✅ | ✅ |
| bedrock_converse | BedrockTransport | ✅ | ✅ | ✅ |
17 new BedrockTransport tests pass. 117 transport tests total pass.
160 bedrock/converse tests across tests/agent/ pass. Full tests/run_agent/
targeted suite passes (885/885 + 15 skipped; the 1 remaining failure is the
pre-existing test_concurrent_interrupt flake on origin/main).
Third concrete transport — handles the default 'chat_completions' api_mode used
by ~16 OpenAI-compatible providers (OpenRouter, Nous, NVIDIA, Qwen, Ollama,
DeepSeek, xAI, Kimi, custom, etc.). Wires build_kwargs + validate_response to
production paths.
Based on PR #13447 by @kshitijk4poor, with fixes:
- Preserve tool_call.extra_content (Gemini thought_signature) via
ToolCall.provider_data — the original shim stripped it, causing 400 errors
on multi-turn Gemini 3 thinking requests.
- Preserve reasoning_content distinctly from reasoning (DeepSeek/Moonshot) so
the thinking-prefill retry check (_has_structured) still triggers.
- Port Kimi/Moonshot quirks (32000 max_tokens, top-level reasoning_effort,
extra_body.thinking) that landed on main after the original PR was opened.
- Keep _qwen_prepare_chat_messages_inplace alive and call it through the
transport when sanitization already deepcopied (avoids a second deepcopy).
- Skip the back-compat SimpleNamespace shim in the main normalize loop — for
chat_completions, response.choices[0].message is already the right shape
with .content/.tool_calls/.reasoning/.reasoning_content/.reasoning_details
and per-tool-call .extra_content from the OpenAI SDK.
run_agent.py: -239 lines in _build_api_kwargs default branch extracted to the
transport. build_kwargs now owns: codex-field sanitization, Qwen portal prep,
developer role swap, provider preferences, max_tokens resolution (ephemeral >
user > NVIDIA 16384 > Qwen 65536 > Kimi 32000 > anthropic_max_output), Kimi
reasoning_effort + extra_body.thinking, OpenRouter/Nous/GitHub reasoning,
Nous product attribution tags, Ollama num_ctx, custom-provider think=false,
Qwen vl_high_resolution_images, request_overrides.
39 new transport tests (8 build_kwargs, 5 Kimi, 4 validate, 4 normalize
including extra_content regression, 3 cache stats, 3 basic). Tests/run_agent/
targeted suite passes (885/885 + 15 skipped; the 1 remaining failure is the
test_concurrent_interrupt flake present on origin/main).
Wire the auxiliary client (compaction, vision, session search, web extract)
to the Nous Portal's curated recommended-models endpoint when running on
Nous Portal, with a TTL-cached fetch that mirrors how we pull /models for
pricing.
hermes_cli/models.py
- fetch_nous_recommended_models(portal_base_url, force_refresh=False)
10-minute TTL cache, keyed per portal URL (staging vs prod don't
collide). Public endpoint, no auth required. Returns {} on any
failure so callers always get a dict.
- get_nous_recommended_aux_model(vision, free_tier=None, ...)
Tier-aware pick from the payload:
- Paid tier → paidRecommended{Vision,Compaction}Model, falling back
to freeRecommended* when the paid field is null (common during
staged rollouts of new paid models).
- Free tier → freeRecommended* only, never leaks paid models.
When free_tier is None, auto-detects via the existing
check_nous_free_tier() helper (already cached 3 min against
/api/oauth/account). Detection errors default to paid so we never
silently downgrade a paying user.
agent/auxiliary_client.py — _try_nous()
- Replaces the hardcoded xiaomi/mimo free-tier branch with a single call
to get_nous_recommended_aux_model(vision=vision).
- Falls back to _NOUS_MODEL (google/gemini-3-flash-preview) when the
Portal is unreachable or returns a null recommendation.
- The Portal is now the source of truth for aux model selection; the
xiaomi allowlist we used to carry is effectively dead.
Tests (15 new)
- tests/hermes_cli/test_models.py::TestNousRecommendedModels
Fetch caching, per-portal keying, network failure, force_refresh;
paid-prefers-paid, paid-falls-to-free, free-never-leaks-paid,
auto-detect, detection-error → paid default, null/blank modelName
handling.
- tests/agent/test_auxiliary_client.py::TestNousAuxiliaryRefresh
_try_nous honors Portal recommendation for text + vision, falls
back to google/gemini-3-flash-preview on None or exception.
Behavior won't visibly change today — both tier recommendations currently
point at google/gemini-3-flash-preview — but the moment the Portal ships
a better paid recommendation, subscribers pick it up within 10 minutes
without a Hermes release.
Drop _NOUS_ALLOWED_FREE_MODELS + filter_nous_free_models and its two call
sites. Whatever Nous Portal prices as free now shows up in the picker as-is
— no local allowlist gatekeeping. Free-tier partitioning (paid vs free in
the menu) still runs via partition_nous_models_by_tier.
Add ResponsesApiTransport wrapping codex_responses_adapter.py behind the
ProviderTransport ABC. Auto-registered via _discover_transports().
Wire ALL Codex transport methods to production paths in run_agent.py:
- build_kwargs: main _build_api_kwargs codex branch (50 lines extracted)
- normalize_response: main loop + flush + summary + retry (4 sites)
- convert_tools: memory flush tool override
- convert_messages: called internally via build_kwargs
- validate_response: response validation gate
- preflight_kwargs: request sanitization (2 sites)
Remove 7 dead legacy wrappers from AIAgent (_responses_tools,
_chat_messages_to_responses_input, _normalize_codex_response,
_preflight_codex_api_kwargs, _preflight_codex_input_items,
_extract_responses_message_text, _extract_responses_reasoning_text).
Keep 3 ID manipulation methods still used by _build_assistant_message.
Update 18 test call sites across 3 test files to call adapter functions
directly instead of through deleted AIAgent wrappers.
24 new tests. 343 codex/responses/transport tests pass (0 failures).
PR 4 of the provider transport refactor.
Follow-ups after salvaging xiaoqiang243's kimi-for-coding patches:
- KIMI_CODE_BASE_URL: drop trailing /v1 (was /coding/v1).
The /coding endpoint speaks Anthropic Messages, and the Anthropic SDK
appends /v1/messages internally. /coding/v1 + SDK suffix produced
/coding/v1/v1/messages (a 404). /coding + SDK suffix now yields
/coding/v1/messages correctly.
- kimi-coding ProviderConfig: keep legacy default api.moonshot.ai/v1 so
non-sk-kimi- moonshot keys still authenticate. sk-kimi- keys are
already redirected to api.kimi.com/coding via _resolve_kimi_base_url.
- doctor.py: update Kimi UA to claude-code/0.1.0 (was KimiCLI/1.30.0)
and rewrite /coding base URLs to /coding/v1 for the /models health
check (Anthropic surface has no /models).
- test_kimi_env_vars: accept KIMI_CODING_API_KEY as a secondary env var.
E2E verified:
sk-kimi-<key> → https://api.kimi.com/coding/v1/messages (Anthropic)
sk-<legacy> → https://api.moonshot.ai/v1/chat/completions (OpenAI)
UA: claude-code/0.1.0, x-api-key: <sk-kimi-*>
The CLI has no attachment channel — MEDIA:<path> tags are only
intercepted on messaging gateway platforms (Telegram, Discord,
Slack, WhatsApp, Signal, BlueBubbles, email, etc.). On the CLI
they render as literal text, which is confusing for users.
The CLI platform hint was the one PLATFORM_HINTS entry that said
nothing about file delivery, so models trained on the messaging
hints would default to MEDIA: tags on the CLI too. Tool schemas
(browser_tool, tts_tool, etc.) also recommend MEDIA: generically.
Extend the CLI hint to explicitly discourage MEDIA: tags and tell
the agent to reference files by plain absolute path instead.
Add a regression test asserting the CLI hint carries negative
guidance about MEDIA: while messaging hints keep positive guidance.
A single global MAX_TEXT_LENGTH = 4000 truncated every TTS provider at
4000 chars, causing long inputs to be silently chopped even though the
underlying APIs allow much more:
- OpenAI: 4096
- xAI: 15000
- MiniMax: 10000
- ElevenLabs: 5000 / 10000 / 30000 / 40000 (model-aware)
- Gemini: ~5000
- Edge: ~5000
The schema description also told the model 'Keep under 4000 characters',
which encouraged the agent to self-chunk long briefs into multiple TTS
calls (producing 3 separate audio files instead of one).
New behavior:
- PROVIDER_MAX_TEXT_LENGTH table + ELEVENLABS_MODEL_MAX_TEXT_LENGTH
encode the documented per-provider limits.
- _resolve_max_text_length(provider, cfg) resolves:
1. tts.<provider>.max_text_length user override
2. ElevenLabs model_id lookup
3. provider default
4. 4000 fallback
- text_to_speech_tool() and stream_tts_to_speaker() both call the
resolver; old MAX_TEXT_LENGTH alias kept for back-compat.
- Schema description no longer hardcodes 4000.
Tests: 27 new unit + E2E tests; all 53 existing TTS tests and 253
voice-command/voice-cli tests still pass.
Follow-up on #13724: showing literally every source was too noisy.\n\n now fetches a wider window (, larger limit) and then filters to a curated allowlist of human-facing sources (tui/cli plus chat adapters like telegram/discord/slack/whatsapp/etc). This keeps row #7 fixed (telegram sessions visible in /resume) without surfacing internal source kinds such as tool/acp.
* feat(models): hide OpenRouter models that don't advertise tool support
Port from Kilo-Org/kilocode#9068.
hermes-agent is tool-calling-first — every provider path assumes the
model can invoke tools. Models whose OpenRouter supported_parameters
doesn't include 'tools' (e.g. image-only or completion-only models)
cannot be driven by the agent loop and fail at the first tool call.
Filter them out of fetch_openrouter_models() so they never appear in
the model picker (`hermes model`, setup wizard, /model slash command).
Permissive when the field is missing — OpenRouter-compatible gateways
(Nous Portal, private mirrors, older snapshots) don't always populate
supported_parameters. Treat missing as 'unknown → allow' rather than
silently emptying the picker on those gateways. Only hide models
whose supported_parameters is an explicit list that omits tools.
Tests cover: tools present → kept, tools absent → dropped, field
missing → kept, malformed non-list → kept, non-dict item → kept,
empty list → dropped.
* feat(delegate): cross-agent file state coordination for concurrent subagents
Prevents mangled edits when concurrent subagents touch the same file
(same process, same filesystem — the mangle scenario from #11215).
Three layers, all opt-out via HERMES_DISABLE_FILE_STATE_GUARD=1:
1. FileStateRegistry (tools/file_state.py) — process-wide singleton
tracking per-agent read stamps and the last writer globally.
check_stale() names the sibling subagent in the warning when a
non-owning agent wrote after this agent's last read.
2. Per-path threading.Lock wrapped around the read-modify-write
region in write_file_tool and patch_tool. Concurrent siblings on
the same path serialize; different paths stay fully parallel.
V4A multi-file patches lock in sorted path order (deadlock-free).
3. Delegate-completion reminder in tools/delegate_tool.py: after a
subagent returns, writes_since(parent, child_start, parent_reads)
appends '[NOTE: subagent modified files the parent previously
read — re-read before editing: ...]' to entry.summary when the
child touched anything the parent had already seen.
Complements (does not replace) the existing path-overlap check in
run_agent._should_parallelize_tool_batch — batch check prevents
same-file parallel dispatch within one agent's turn (cheap prevention,
zero API cost), registry catches cross-subagent and cross-turn
staleness at write time (detection).
Behavior is warning-only, not hard-failing — matches existing project
style. Errors surface naturally: sibling writes often invalidate the
old_string in patch operations, which already errors cleanly.
Tests: tests/tools/test_file_state_registry.py — 16 tests covering
registry state transitions, per-path locking, per-path-not-global
locking, writes_since filtering, kill switch, and end-to-end
integration through the real read_file/write_file/patch handlers.
Reported during TUI v2 blitz retest: /resume modal only surfaced tui/cli
rows, even though `hermes --tui --resume <id>` with a pasted telegram
session id works fine. The handler double-fetched with explicit
`source="tui"` and `source="cli"` filters and dropped everything else on
the floor.
Drop the filter — list_sessions_rich(source=None) already excludes
child sessions (subagents, compression continuations) via its default,
and users want to resume messenger sessions from inside the TUI.
Adds gateway regression coverage.
Two unit tests that pin down the threading.local semantics the CLI freeze
fix (#13617 / #13618) relies on:
- main-thread registration must be invisible to child threads (documents
the underlying bug — if this ever starts passing visible, ACP's
GHSA-qg5c-hvr5-hjgr race has returned)
- child-thread registration must be visible from that same thread AND
cleared by the finally block (documents the fix pattern used by
cli.py's run_agent closure and acp_adapter/server.py)
Pairs with the fix in the preceding commit by @Societus.
Adds role='leaf'|'orchestrator' to delegate_task. With max_spawn_depth>=2,
an orchestrator child retains the 'delegation' toolset and can spawn its
own workers; leaf children cannot delegate further (identical to today).
Default posture is flat — max_spawn_depth=1 means a depth-0 parent's
children land at the depth-1 floor and orchestrator role silently
degrades to leaf. Users opt into nested delegation by raising
max_spawn_depth to 2 or 3 in config.yaml.
Also threads acp_command/acp_args through the main agent loop's delegate
dispatch (previously silently dropped in the schema) via a new
_dispatch_delegate_task helper, and adds a DelegateEvent enum with
legacy-string back-compat for gateway/ACP/CLI progress consumers.
Config (hermes_cli/config.py defaults):
delegation.max_concurrent_children: 3 # floor-only, no upper cap
delegation.max_spawn_depth: 1 # 1=flat (default), 2-3 unlock nested
delegation.orchestrator_enabled: true # global kill switch
Salvaged from @pefontana's PR #11215. Overrides vs. the original PR:
concurrency stays at 3 (PR bumped to 5 + cap 8 — we keep the floor only,
no hard ceiling); max_spawn_depth defaults to 1 (PR defaulted to 2 which
silently enabled one level of orchestration for every user).
Co-authored-by: pefontana <fontana.pedro93@gmail.com>
The prior form of this test asserted on CLI_CONFIG["delegation"] after
importing cli, which only passed by accident of pytest-xdist worker
scheduling. cli._hermes_home is frozen at module import time (cli.py:76),
before the tests/conftest.py autouse HERMES_HOME-isolation fixture can
fire, so CLI_CONFIG ends up populated by deep-merging the contributor's
actual ~/.hermes/config.yaml over the defaults (cli.py:359-366). Any
contributor (like me) who still has the legacy key set in their own
config causes a false failure the moment another test file in the same
xdist worker imports cli at module level.
Asserting on the source of load_cli_config() instead sidesteps all of
that: the test now checks the defaults literal directly and is
independent of user config, HERMES_HOME, import order, and worker
scheduling.
Demonstrated failure mode before this fix:
pytest tests/hermes_cli/test_config_drift.py \
tests/hermes_cli/test_skills_hub.py -o addopts=""
-> FAILED (CLI_CONFIG["delegation"] contained "default_toolsets"
from the user's ~/.hermes/config.yaml)
Part of Initiative 2 / M0.5.
delegation.default_toolsets was declared in cli.py's CLI_CONFIG default
dict and documented in cli-config.yaml.example, but never read: none of
tools/delegate_tool.py, _load_config(), or any call site ever looked it
up. The live fallback is the DEFAULT_TOOLSETS module constant at
tools/delegate_tool.py:101, which stays as-is.
hermes_cli/config.py's DEFAULT_CONFIG["delegation"] already omits the
key — this commit aligns cli.py with that.
Adds a regression test in tests/hermes_cli/test_config_drift.py so a
future refactor that re-adds the key without wiring it up to
_load_config() fails loudly.
Part of Initiative 2 / M0.5.
Adds OpenAI's new GPT Image 2 model via FAL.ai, selectable through
`hermes tools` → Image Generation. SOTA text rendering (including CJK)
and world-aware photorealism.
- FAL_MODELS entry with image_size_preset style
- 4:3 presets on all aspect ratios — 16:9 (1024x576) falls below
GPT-Image-2's 655,360 min-pixel floor and would be rejected
- quality pinned to medium (same rule as gpt-image-1.5) for
predictable Nous Portal billing
- BYOK (openai_api_key) deliberately omitted from supports so all
users stay on shared FAL billing
- 6 new tests covering preset mapping, quality pinning, and
supports-whitelist integrity
- Docs table + aspect-ratio map updated
Live-tested end-to-end: 39.9s cold request, clean 1024x768 PNG
The [Replying to: "..."] prefix is disambiguation, not deduplication. When
a user explicitly replies to a prior message, the agent needs a pointer to
which specific message they're referencing — even when the quoted text
already exists somewhere in history. History can contain the same or
similar text multiple times; without an explicit pointer the agent has to
guess (or answer for both subjects), and the reply signal is silently
dropped.
Example: in a conversation comparing Japan and Italy, replying to the
"Japan is great for culture..." message and asking "What's the best time
to go?" — previously the found_in_history check suppressed the prefix
because the quoted text was already in history, leaving the agent to
guess which destination the user meant. Now the pointer is always present.
Drops the found_in_history guard added in #1594. Token overhead is
minimal (snippet capped at 500 chars on the new user turn; cached prefix
unaffected). Behavior becomes deterministic: reply sent ⇒ pointer present.
Thanks to smartyi for flagging this.
Reported during TUI v2 blitz testing: typing `@folder:` in the composer
pulled up .dockerignore, .env, .gitignore, and every other file in the
cwd alongside the actual directories. The completion loop yielded every
entry regardless of the explicit prefix and auto-rewrote each completion
to @file: vs @folder: based on is_dir — defeating the user's choice.
Also fixed a pre-existing adjacent bug: a bare `@file:` or `@folder:`
(no path) used expanded=="." as both search_dir AND match_prefix,
filtering the list to dotfiles only. When expanded is empty or ".",
search in cwd with no prefix filter.
- want_dir = prefix == "@folder:" drives an explicit is_dir filter
- preserve the typed prefix in completion text instead of rewriting
- three regression tests cover: folder-only, file-only, and the bare-
prefix case where completions keep the `@folder:` prefix
Reported during the TUI v2 blitz test: switching from openrouter to
anthropic via `/model <name> --provider anthropic` appeared to succeed,
but the next turn kept hitting openrouter — the provider the user was
deliberately moving away from.
Two gaps caused this:
1. `Agent.switch_model` reset `_fallback_activated` / `_fallback_index`
but left `_fallback_chain` intact. The chain was seeded from
`fallback_providers:` at agent init for the *original* primary, so
when the new primary returned 401 (invalid/expired Anthropic key),
`_try_activate_fallback()` picked the old provider back up without
informing the user. Prune entries matching either the old primary
(user is moving away) or the new primary (redundant) whenever the
primary provider actually changes.
2. `_apply_model_switch` persisted `HERMES_MODEL` but never updated
`HERMES_INFERENCE_PROVIDER`. Any ambient re-resolution of the runtime
(credential pool refresh, compressor rebuild, aux clients) falls
through to that env var in `resolve_requested_provider`, so it kept
reporting the original provider even after an in-memory switch.
Adds three regression tests: fallback-chain prune on primary change,
no-op on same-provider model swap, and env-var sync on explicit switch.
Qwen models on OpenCode, OpenCode Go, and direct DashScope accept
Anthropic-style cache_control markers on OpenAI-wire chat completions,
but hermes only injected markers for Claude-named models. Result: zero
cache hits on every turn, full prompt re-billed — a community user
reported burning through their OpenCode Go subscription on Qwen3.6.
Extend _anthropic_prompt_cache_policy to return (True, False) — envelope
layout, not native — for the Alibaba provider family when the model name
contains 'qwen'. Envelope layout places markers on inner content blocks
(matching pi-mono's 'alibaba' cacheControlFormat) and correctly skips
top-level markers on tool-role messages (which OpenCode rejects).
Non-Qwen models on these providers (GLM, Kimi) keep their existing
behaviour — they have automatic server-side caching and don't need
client markers.
Upstream reference: pi-mono #3392 / #3393 documented this contract for
opencode-go Qwen models.
Adds 7 regression tests covering Qwen3.5/3.6/coder on each affected
provider plus negative cases for GLM/Kimi/OpenRouter-Qwen.
DNS rebinding attack: a victim browser that has the dashboard (or the
WhatsApp bridge) open could be tricked into fetching from an
attacker-controlled hostname that TTL-flips to 127.0.0.1. Same-origin
and CORS checks don't help — the browser now treats the attacker origin
as same-origin with the local service. Validating the Host header at
the app layer rejects any request whose Host isn't one we bound for.
Changes:
hermes_cli/web_server.py:
- New host_header_middleware runs before auth_middleware. Reads
app.state.bound_host (set by start_server) and rejects requests
whose Host header doesn't match the bound interface with HTTP 400.
- Loopback binds accept localhost / 127.0.0.1 / ::1. Non-loopback
binds require exact match. 0.0.0.0 binds skip the check (explicit
--insecure opt-in; no app-layer defence possible).
- IPv6 bracket notation parsed correctly: [::1] and [::1]:9119 both
accepted.
scripts/whatsapp-bridge/bridge.js:
- Express middleware rejects non-loopback Host headers. Bridge
already binds 127.0.0.1-only, this adds the complementary app-layer
check for DNS rebinding defence.
Tests: 8 new in tests/hermes_cli/test_web_server_host_header.py
covering loopback/non-loopback/zero-zero binds, IPv6 brackets, case
insensitivity, and end-to-end middleware rejection via TestClient.
Reported in GHSA-ppp5-vxwm-4cf7 by @bupt-Yy-young. Hardening — not
CVE per SECURITY.md §3. The dashboard's main trust boundary is the
loopback bind + session token; DNS rebinding defeats the bind assumption
but not the token (since the rebinding browser still sees a first-party
fetch to 127.0.0.1 with the token-gated API). Host-header validation
adds the missing belt-and-braces layer.
When TELEGRAM_WEBHOOK_URL was set but TELEGRAM_WEBHOOK_SECRET was not,
python-telegram-bot received secret_token=None and the webhook endpoint
accepted any HTTP POST. Anyone who could reach the listener could inject
forged updates — spoofed user IDs, spoofed chat IDs, attacker-controlled
message text — and trigger handlers as if Telegram delivered them.
The fix refuses to start the adapter in webhook mode without the secret.
Polling mode (default, no webhook URL) is unaffected — polling is
authenticated by the bot token directly.
BREAKING CHANGE for webhook-mode deployments that never set
TELEGRAM_WEBHOOK_SECRET. The error message explains remediation:
export TELEGRAM_WEBHOOK_SECRET="$(openssl rand -hex 32)"
and instructs registering it with Telegram via setWebhook's secret_token
parameter. Release notes must call this out.
Reported in GHSA-3vpc-7q5r-276h by @bupt-Yy-young. Hardening — not CVE
per SECURITY.md §3 "Public Exposure: Deploying the gateway to the
public internet without external authentication or network protection"
covers the historical default, but shipping a fail-open webhook as the
default was the wrong choice and the guard aligns us with the SECURITY.md
threat model.
Two related ACP approval issues:
GHSA-96vc-wcxf-jjff — ACP's _run_agent never set HERMES_INTERACTIVE
(or any other flag recognized by tools.approval), so check_all_command_guards
took the non-interactive auto-approve path and never consulted the
ACP-supplied approval callback (conn.request_permission). Dangerous
commands executed in ACP sessions without operator approval despite
the callback being installed. Fix: set HERMES_INTERACTIVE=1 around
the agent run so check_all_command_guards routes through
prompt_dangerous_approval(approval_callback=...) — the correct shape
for ACP's per-session request_permission call. HERMES_EXEC_ASK would
have routed through the gateway-queue path instead, which requires a
notify_cb registered in _gateway_notify_cbs (not applicable to ACP).
GHSA-qg5c-hvr5-hjgr — _approval_callback and _sudo_password_callback
were module-level globals in terminal_tool. Concurrent ACP sessions
running in ThreadPoolExecutor threads each installed their own callback
into the same slot, racing. Fix: store both callbacks in threading.local()
so each thread has its own slot. CLI mode (single thread) is unaffected;
gateway mode uses a separate queue-based approval path and was never
touched.
set_approval_callback is now called INSIDE _run_agent (the executor
thread) rather than before dispatching — so the TLS write lands on the
correct thread.
Tests: 5 new in tests/acp/test_approval_isolation.py covering
thread-local isolation of both callbacks and the HERMES_INTERACTIVE
callback routing. Existing tests/acp/ (159 tests) and tests/tools/
approval-related tests continue to pass.
Fixes GHSA-96vc-wcxf-jjff
Fixes GHSA-qg5c-hvr5-hjgr
A skill declaring `required_environment_variables: [ANTHROPIC_TOKEN]` in
its SKILL.md frontmatter silently bypassed the `execute_code` sandbox's
credential-scrubbing guarantee. `register_env_passthrough` had no
blocklist, so any name a skill chose flipped `is_env_passthrough(name) =>
True`, which shortcircuits the sandbox's secret filter.
Fix: reject registration when the name appears in
`_HERMES_PROVIDER_ENV_BLOCKLIST` (the canonical list of Hermes-managed
credentials — provider keys, gateway tokens, etc.). Log a warning naming
GHSA-rhgp-j443-p4rf so operators see the rejection in logs.
Non-Hermes third-party API keys (TENOR_API_KEY for gif-search,
NOTION_TOKEN for notion skills, etc.) remain legitimately registerable —
they were never in the sandbox scrub list in the first place.
Tests: 16 -> 17 passing. Two old tests that documented the bypass
(`test_passthrough_allows_blocklisted_var`, `test_make_run_env_passthrough`)
are rewritten to assert the new fail-closed behavior. New
`test_non_hermes_api_key_still_registerable` locks in that legitimate
third-party keys are unaffected.
Reported in GHSA-rhgp-j443-p4rf by @q1uf3ng. Hardening; not CVE-worthy
on its own per the decision matrix (attacker must already have operator
consent to install a malicious skill).
Two call sites still used a raw substring check to identify ollama.com:
hermes_cli/runtime_provider.py:496:
_is_ollama_url = "ollama.com" in base_url.lower()
run_agent.py:6127:
if fb_base_url_hint and "ollama.com" in fb_base_url_hint.lower() ...
Same bug class as GHSA-xf8p-v2cg-h7h5 (OpenRouter substring leak), which
was fixed in commit dbb7e00e via base_url_host_matches() across the
codebase. The earlier sweep missed these two Ollama sites. Self-discovered
during April 2026 security-advisory triage; filed as GHSA-76xc-57q6-vm5m.
Impact is narrow — requires a user with OLLAMA_API_KEY configured AND a
custom base_url whose path or look-alike host contains 'ollama.com'.
Users on default provider flows are unaffected. Filed as a draft advisory
to use the private-fork flow; not CVE-worthy on its own.
Fix is mechanical: replace substring check with base_url_host_matches
at both sites. Same helper the rest of the codebase uses.
Tests: 67 -> 71 passing. 7 new host-matcher cases in
tests/test_base_url_hostname.py (path injection, lookalike host,
localtest.me subdomain, ollama.ai TLD confusion, localhost, genuine
ollama.com, api.ollama.com subdomain) + 4 call-site tests in
tests/hermes_cli/test_runtime_provider_resolution.py verifying
OLLAMA_API_KEY is selected only when base_url actually targets
ollama.com.
Fixes GHSA-76xc-57q6-vm5m
- Replace kwargs.get('limit', 50) with module-level _LIST_SESSIONS_PAGE_SIZE
constant. ListSessionsRequest schema has no 'limit' field, so the kwarg
path was dead. Constant is the single source of truth for the page cap.
- Use next_cursor= (field name) instead of nextCursor= (alias). Both work
under the schema's populate_by_name config, but using the declared
Python field name is the consistent style in this file.
- Add docstring explaining cwd pass-through and cursor semantics.
- Add 4 tests: first-page with next_cursor, single-page no next_cursor,
cursor resumes after match, unknown cursor returns empty page.
The original tests replicated the try/except/cancel/raise pattern inline with
a mocked future, which tested Python's try/except semantics rather than the
scheduler's behavior. Rewrite them to invoke _deliver_result and
_send_media_via_adapter end-to-end with a real concurrent.futures.Future
whose .result() raises TimeoutError.
Mutation-verified: both tests fail when the try/except wrappers are removed
from cron/scheduler.py, pass with them in place.
When the live adapter delivery path (_deliver_result) or media send path
(_send_media_via_adapter) times out at future.result(timeout=N), the
underlying coroutine scheduled via asyncio.run_coroutine_threadsafe can
still complete on the event loop, causing a duplicate send after the
standalone fallback runs.
Cancel the future on TimeoutError before re-raising, so the standalone
fallback is the sole delivery path.
Adds TestDeliverResultTimeoutCancelsFuture and
TestSendMediaTimeoutCancelsFuture.
Kimi/Moonshot endpoints require explicit parameters that Hermes was not
sending, causing 'Response truncated due to output length limit' errors
and inconsistent reasoning behavior.
Root cause analysis against Kimi CLI source (MoonshotAI/kimi-cli,
packages/kosong/src/kosong/chat_provider/kimi.py):
1. max_tokens: Kimi's API defaults to a very low value when omitted.
Reasoning tokens share the output budget — the model exhausts it on
thinking alone. Send 32000, matching Kimi CLI's generate() default.
2. reasoning_effort: Kimi CLI sends this as a top-level parameter (not
inside extra_body). Hermes was not sending it at all because
_supports_reasoning_extra_body() returns False for non-OpenRouter
endpoints.
3. extra_body.thinking: Kimi CLI uses with_thinking() which sets
extra_body.thinking={"type":"enabled"} alongside reasoning_effort.
This is a separate control from the OpenAI-style reasoning extra_body
that Hermes sends for OpenRouter/GitHub. Without it, the Kimi gateway
may not activate reasoning mode correctly.
Covers api.kimi.com (Kimi Code) and api.moonshot.ai/cn (Moonshot).
Tests: 6 new test cases for max_tokens, reasoning_effort, and
extra_body.thinking under various configs.
Gateway /model <name> --provider opencode-go (or any provider whose /models
endpoint is down, 404s, or doesn't exist) silently failed. validate_requested_model
returned accepted=False whenever fetch_api_models returned None, switch_model
returned success=False, and the gateway never wrote _session_model_overrides —
so the switch appeared to succeed in the error message flow but the next turn
kept calling the old provider.
The validator already had static-catalog fallbacks for MiniMax and Codex
(providers without a /models endpoint). Extended the same pattern as the
terminal fallback: when the live probe fails, consult provider_model_ids()
for the curated catalog. Known models → accepted+recognized. Close typos →
auto-corrected. Unknown models → soft-accepted with a 'Not in curated
catalog' warning. Providers with no catalog at all → soft-accepted with a
generic 'Note:' warning, finally honoring the in-code comment ('Accept and
persist, but warn') that had been lying since it was written.
Tests: 7 new tests in test_opencode_go_validation_fallback.py covering the
catalog lookup, case-insensitive match, auto-correct, unknown-with-suggestion,
unknown-without-suggestion, and no-catalog paths. TestValidateApiFallback in
test_model_validation.py updated — its four 'rejected_when_api_down' tests
were encoding exactly the bug being fixed.
The MCP circuit breaker in tools/mcp_tool.py has no half-open state and
no reset-on-reconnect behavior, so once it trips after 3 consecutive
failures it stays tripped for the process lifetime. These tests lock
in the intended recovery behavior:
1. test_circuit_breaker_half_opens_after_cooldown — after the cooldown
elapses, the next call must actually probe the session; success
closes the breaker.
2. test_circuit_breaker_reopens_on_probe_failure — a failed probe
re-arms the cooldown instead of letting every subsequent call
through.
3. test_circuit_breaker_cleared_on_reconnect — a successful OAuth
recovery resets the breaker even if the post-reconnect retry
fails (a successful reconnect is sufficient evidence the server
is viable again).
All three currently fail, as expected.
* feat(models): hide OpenRouter models that don't advertise tool support
Port from Kilo-Org/kilocode#9068.
hermes-agent is tool-calling-first — every provider path assumes the
model can invoke tools. Models whose OpenRouter supported_parameters
doesn't include 'tools' (e.g. image-only or completion-only models)
cannot be driven by the agent loop and fail at the first tool call.
Filter them out of fetch_openrouter_models() so they never appear in
the model picker (`hermes model`, setup wizard, /model slash command).
Permissive when the field is missing — OpenRouter-compatible gateways
(Nous Portal, private mirrors, older snapshots) don't always populate
supported_parameters. Treat missing as 'unknown → allow' rather than
silently emptying the picker on those gateways. Only hide models
whose supported_parameters is an explicit list that omits tools.
Tests cover: tools present → kept, tools absent → dropped, field
missing → kept, malformed non-list → kept, non-dict item → kept,
empty list → dropped.
* refactor(acp): validate method_id against advertised provider in authenticate()
Previously authenticate() accepted any method_id whenever the server had
provider credentials configured. This was not a vulnerability under the
personal-assistant trust model (ACP is stdio-only, local-trust — anything
that can reach the transport is already code-execution-equivalent to the
user), but it was sloppy API hygiene: the advertised auth_methods list
from initialize() was effectively ignored.
Now authenticate() only returns AuthenticateResponse when method_id
matches the currently-advertised provider (case-insensitive). Mismatched
or missing method_id returns None, consistent with the no-credentials
case.
Raised by xeloxa via GHSA-g5pf-8w9m-h72x. Declined as a CVE
(ACP transport is stdio, local-trust model), but the correctness fix is
worth having on its own.
Current main's _message_mentions_bot() uses MessageEntity-only detection
(commit e330112a), so the test for '/status@hermes_bot' needs to include
a MENTION entity. Real Telegram always emits one for /cmd@botname — the
bot menu and CommandHandler rely on this mechanism.
When require_mention is enabled, slash commands no longer bypass
mention checks. Bare /command without @mention is filtered in groups,
while /command@botname (bot menu) and @botname /command still pass.
Commands still pass unconditionally when require_mention is disabled,
preserving backward compatibility.
Closes#6033
Treat whitespace-only FAL_KEY the same as unset so users who export
FAL_KEY=" " (or CI that leaves a blank token) get the expected
'not set' error path instead of a confusing downstream fal_client
failure.
Applied to the two direct FAL_KEY checks in image_generation_tool.py:
image_generate_tool's upfront credential check and check_fal_api_key().
Both keep the existing managed-gateway fallback intact.
Adapted the original whitespace/valid tests to pin the managed gateway
to None so the whitespace assertion exercises the direct-key path
rather than silently relying on gateway absence.
Follow-ups on top of @teyrebaz33's cherry-picked commit:
1. New shared helper format_no_match_hint() in fuzzy_match.py with a
startswith('Could not find') gate so the snippet only appends to
genuine no-match errors — not to 'Found N matches' (ambiguous),
'Escape-drift detected', or 'identical strings' errors, which would
all mislead the model.
2. file_tools.patch_tool suppresses the legacy generic '[Hint: old_string
not found...]' string when the rich 'Did you mean?' snippet is
already attached — no more double-hint.
3. Wire the same helper into patch_parser.py (V4A patch mode, both
_validate_operations and _apply_update) and skill_manager_tool.py so
all three fuzzy callers surface the hint consistently.
Tests: 7 new gating tests in TestFormatNoMatchHint cover every error
class (ambiguous, drift, identical, non-zero match count, None error,
no similar content, happy path). 34/34 test_fuzzy_match, 96/96
test_file_tools + test_patch_parser + test_skill_manager_tool pass.
E2E verified across all four scenarios: no-match-with-similar,
no-match-no-similar, ambiguous, success. V4A mode confirmed
end-to-end with a non-matching hunk.
When patch_replace() cannot find old_string in a file, the error message
now includes the closest matching lines from the file with line numbers
and context. This helps the LLM self-correct without a separate read_file
call.
Implements Phase 1 of #536: enhanced patch error feedback with no
architectural changes.
- tools/fuzzy_match.py: new find_closest_lines() using SequenceMatcher
- tools/file_operations.py: attach closest-lines hint to patch errors
- tests/tools/test_fuzzy_match.py: 5 new tests for find_closest_lines
OpenCode Go's published model list (opencode.ai/docs/go) includes kimi-k2.6,
qwen3.5-plus, and qwen3.6-plus, but Hermes' curated lists didn't carry them.
When the live /models probe fails during `hermes model`, users fell back to
the stale curated list and had to type newer models via 'Enter custom model
name'.
Adds kimi-k2.6 (now first in the Go list), qwen3.6-plus, and qwen3.5-plus
to both the model picker (hermes_cli/models.py) and setup defaults
(hermes_cli/setup.py). All routed through the existing opencode-go
chat_completions path — no api_mode changes needed.
Wires the agent/account_usage module from the preceding commit into
/usage so users see provider-side quota/credit info alongside the
existing session token report.
CLI:
- `_show_usage` appends account lines under the token table. Fetch
runs in a 1-worker ThreadPoolExecutor with a 10s timeout so a slow
provider API can never hang the prompt.
Gateway:
- `_handle_usage_command` resolves provider from the live agent when
available, else from the persisted billing_provider/billing_base_url
on the SessionDB row, so /usage still returns account info between
turns when no agent is resident. Fetch runs via asyncio.to_thread.
- Account section is appended to all three return branches: running
agent, no-agent-with-history, and the new no-agent-no-history path
(falls back to account-only output instead of "no data").
Tests:
- 2 new tests in tests/gateway/test_usage_command.py cover the live-
agent account section and the persisted-billing fallback path.
Salvaged from PR #2486 by @kshitijk4poor. The original branch had
drifted ~2615 commits behind main and rewrote _show_usage wholesale,
which would have dropped the rate-limit and cached-agent blocks added
in PRs #6541 and #7038. This commit re-adds only the new behavior on
top of current main.
Ports agent/account_usage.py and its tests from the original PR #2486
branch. Defines AccountUsageSnapshot / AccountUsageWindow dataclasses,
a shared renderer, and provider-specific fetchers for OpenAI Codex
(wham/usage), Anthropic OAuth (oauth/usage), and OpenRouter (/credits
and /key). Wiring into /usage lands in a follow-up salvage commit.
Authored-by: kshitijk4poor <82637225+kshitijk4poor@users.noreply.github.com>
Every credential source Hermes reads from now behaves identically on
`hermes auth remove`: the pool entry stays gone across fresh load_pool()
calls, even when the underlying external state (env var, OAuth file,
auth.json block, config entry) is still present.
Before this, auth_remove_command was a 110-line if/elif with five
special cases, and three more sources (qwen-cli, copilot, custom
config) had no removal handler at all — their pool entries silently
resurrected on the next invocation. Even the handled cases diverged:
codex suppressed, anthropic deleted-without-suppressing, nous cleared
without suppressing. Each new provider added a new gap.
What's new:
agent/credential_sources.py — RemovalStep registry, one entry per
source (env, claude_code, hermes_pkce, nous device_code, codex
device_code, qwen-cli, copilot gh_cli + env vars, custom config).
auth_remove_command dispatches uniformly via find_removal_step().
Changes elsewhere:
agent/credential_pool.py — every upsert in _seed_from_env,
_seed_from_singletons, and _seed_custom_pool now gates on
is_source_suppressed(provider, source) via a shared helper.
hermes_cli/auth_commands.py — auth_remove_command reduced to 25
lines of dispatch; auth_add_command now clears ALL suppressions for
the provider on re-add (was env:* only).
Copilot is special: the same token is seeded twice (gh_cli via
_seed_from_singletons + env:<VAR> via _seed_from_env), so removing one
entry without suppressing the other variants lets the duplicate
resurrect. The copilot RemovalStep suppresses gh_cli + all three env
variants (COPILOT_GITHUB_TOKEN, GH_TOKEN, GITHUB_TOKEN) at once.
Tests: 11 new unit tests + 4059 existing pass. 12 E2E scenarios cover
every source in isolated HERMES_HOME with simulated fresh processes.
Removing an env-seeded credential only cleared ~/.hermes/.env and the
current process's os.environ, leaving shell-exported vars (shell profile,
systemd EnvironmentFile, launchd plist) to resurrect the entry on the
next load_pool() call. This matched the pre-#11485 codex behaviour.
Now we suppress env:<VAR> in auth.json on remove, gate _seed_from_env()
behind is_source_suppressed(), clear env:* suppressions on auth add,
and print a diagnostic pointing at the shell when the var lives there.
Applies to every env:* seeded credential (xai, deepseek, moonshot, zai,
nvidia, openrouter, anthropic, etc.), not just xai.
Reported by @teknium1 from community user 'Artificial Brain' — couldn't
remove their xAI key via hermes auth remove.
Three fixes that close the remaining structural sources of CI flakes
after PR #13363.
## 1. Per-test reset of module-level singletons and ContextVars
Python modules are singletons per process, and pytest-xdist workers are
long-lived. Module-level dicts/sets and ContextVars persist across tests
on the same worker. A test that sets state in `tools.approval._session_approved`
and doesn't explicitly clear it leaks that state to every subsequent test
on the same worker.
New `_reset_module_state` autouse fixture in `tests/conftest.py` clears:
- tools.approval: _session_approved, _session_yolo, _permanent_approved,
_pending, _gateway_queues, _gateway_notify_cbs, _approval_session_key
- tools.interrupt: _interrupted_threads
- gateway.session_context: 10 session/cron ContextVars (reset to _UNSET)
- tools.env_passthrough: _allowed_env_vars_var (reset to empty set)
- tools.credential_files: _registered_files_var (reset to empty dict)
- tools.file_tools: _read_tracker, _file_ops_cache
This was the single biggest remaining class of CI flakes.
`test_command_guards::test_warn_session_approved` and
`test_combined_cli_session_approves_both` were failing 12/15 recent main
runs specifically because `_session_approved` carried approvals from a
prior test's session into these tests' `"default"` session lookup.
## 2. Unset platform allowlist env vars in hermetic fixture
`TELEGRAM_ALLOWED_USERS`, `DISCORD_ALLOWED_USERS`, and 20 other
`*_ALLOWED_USERS` / `*_ALLOW_ALL_USERS` vars are now unset per-test in
the same place credential env vars already are. These aren't credentials
but they change gateway auth behavior; if set from any source (user
shell, leaky test, CI env) they flake button-authorization tests.
Fixes three `test_telegram_approval_buttons` tests that were failing
across recent runs of the full gateway directory.
## 3. Two specific tests with module-level captured state
- `test_signal::TestSignalPhoneRedaction`: `agent.redact._REDACT_ENABLED`
is captured at module import from `HERMES_REDACT_SECRETS`, not read
per-call. `monkeypatch.delenv` at test time is too late. Added
`monkeypatch.setattr("agent.redact._REDACT_ENABLED", True)` per
skill xdist-cross-test-pollution Pattern 5.
- `test_internal_event_bypass_pairing::test_non_internal_event_without_user_triggers_pairing`:
`gateway.pairing.PAIRING_DIR` is captured at module import from
HERMES_HOME, so per-test HERMES_HOME redirection in conftest doesn't
retroactively move it. Test now monkeypatches PAIRING_DIR directly to
its tmp_path, preventing rate-limit state from prior xdist workers
from letting the pairing send-call be suppressed.
## Validation
- tests/tools/: 3494 pass (0 fail) including test_command_guards
- tests/gateway/: 3504 pass (0 fail) across repeat runs
- tests/agent/ + tests/hermes_cli/ + tests/run_agent/ + tests/tools/:
8371 pass, 37 skipped, 0 fail — full suite across directories
No production code changed.
file_safety now uses profile-aware get_hermes_home(), so the test
fixture must override HERMES_HOME too — otherwise it resolves to the
conftest's isolated tempdir and the hub-cache path doesn't match.
Builds on @AxDSan's PR #2109 to finish the KittenTTS wiring so the
provider behaves like every other TTS backend end to end.
- tools/tts_tool.py: `_check_kittentts_available()` helper and wire
into `check_tts_requirements()`; extend Opus-conversion list to
include kittentts (WAV → Opus for Telegram voice bubbles); point the
missing-package error at `hermes setup tts`.
- hermes_cli/tools_config.py: add KittenTTS entry to the "Text-to-Speech"
toolset picker, with a `kittentts` post_setup hook that auto-installs
the wheel + soundfile via pip.
- hermes_cli/setup.py: `_install_kittentts_deps()`, new choice + install
flow in `_setup_tts_provider()`, provider_labels entry, and status row
in the `hermes setup` summary.
- website/docs/user-guide/features/tts.md: add KittenTTS to the provider
table, config example, ffmpeg note, and the zero-config voice-bubble tip.
- tests/tools/test_tts_kittentts.py: 10 unit tests covering generation,
model caching, config passthrough, ffmpeg conversion, availability
detection, and the missing-package dispatcher branch.
E2E verified against the real `kittentts` wheel:
- WAV direct output (pcm_s16le, 24kHz mono)
- MP3 conversion via ffmpeg (from WAV)
- Telegram flow (provider in Opus-conversion list) produces
`codec_name=opus`, 48kHz mono, `voice_compatible=True`, and the
`[[audio_as_voice]]` marker
- check_tts_requirements() returns True when kittentts is installed
Generalize shared multi-user session handling so non-thread group sessions
(group_sessions_per_user=False) get the same treatment as shared threads:
inbound messages are prefixed with [sender name], and the session prompt
shows a multi-user note instead of pinning a single **User:** line into
the cached system prompt.
Before: build_session_key already treated these as shared sessions, but
_prepare_inbound_message_text and build_session_context_prompt only
recognized shared threads — creating cross-user attribution drift and
prompt-cache contamination in shared groups.
- Add is_shared_multi_user_session() helper alongside build_session_key()
so both the session key and the multi-user branches are driven by the
same rules (DMs never shared, threads shared unless
thread_sessions_per_user, groups shared unless group_sessions_per_user).
- Add shared_multi_user_session field to SessionContext, populated by
build_session_context() from config.
- Use context.shared_multi_user_session in the prompt builder (label is
'Multi-user thread' when a thread is present, 'Multi-user session'
otherwise).
- Use the helper in _prepare_inbound_message_text so non-thread shared
groups also get [sender] prefixes.
Default behavior unchanged: DMs stay single-user, groups with
group_sessions_per_user=True still show the user normally, shared threads
keep their existing multi-user behavior.
Tests (65 passed):
- tests/gateway/test_session.py: new shared non-thread group prompt case.
- tests/gateway/test_shared_group_sender_prefix.py: inbound preprocessing
for shared non-thread groups and default groups.
Sweep ~74 redundant local imports across 21 files where the same module
was already imported at the top level. Also includes type fixes and lint
cleanups on the same branch.
Follow-up on top of opriz's atomic PID file fix. The prior change caught
the race AFTER runner.start(), so the loser still opened Telegram polling
and Discord gateway sockets before detecting the conflict and exiting.
Hoist the PID-claim block to BEFORE runner.start(). Now the loser of the
O_CREAT|O_EXCL race returns from start_gateway() without ever bringing up
any platform adapter — no Telegram conflict, no Discord duplicate session.
Also add regression tests:
- test_write_pid_file_is_atomic_against_concurrent_writers: second
write_pid_file() raises FileExistsError rather than clobbering.
- Two existing replace-path tests updated to stateful mocks since the
real post-kill state (get_running_pid None after remove_pid_file)
is now exercised by the hoisted re-check.
* feat(skills): inject absolute skill dir and expand ${HERMES_SKILL_DIR} templates
When a skill loads, the activation message now exposes the absolute
skill directory and substitutes ${HERMES_SKILL_DIR} /
${HERMES_SESSION_ID} tokens in the SKILL.md body, so skills with
bundled scripts can instruct the agent to run them by absolute path
without an extra skill_view round-trip.
Also adds opt-in inline-shell expansion: !`cmd` snippets in SKILL.md
are pre-executed (with the skill directory as CWD) and their stdout is
inlined into the message before the agent reads it. Off by default —
enable via skills.inline_shell in config.yaml — because any snippet
runs on the host without approval.
Changes:
- agent/skill_commands.py: template substitution, inline-shell
expansion, absolute skill-dir header, supporting-files list now
shows both relative and absolute forms.
- hermes_cli/config.py: new skills.template_vars,
skills.inline_shell, skills.inline_shell_timeout knobs.
- tests/agent/test_skill_commands.py: coverage for header, both
template tokens (present and missing session id), template_vars
disable, inline-shell default-off, enabled, CWD, and timeout.
- website/docs/developer-guide/creating-skills.md: documents the
template tokens, the absolute-path header, and the opt-in inline
shell with its security caveat.
Validation: tests/agent/ 1591 passed (includes 9 new tests).
E2E: loaded a real skill in an isolated HERMES_HOME; confirmed
${HERMES_SKILL_DIR} resolves to the absolute path, ${HERMES_SESSION_ID}
resolves to the passed task_id, !`date` runs when opt-in is set, and
stays literal when it isn't.
* feat(terminal): source ~/.bashrc (and user-listed init files) into session snapshot
bash login shells don't source ~/.bashrc, so tools that install themselves
there — nvm, asdf, pyenv, cargo, custom PATH exports — stay invisible to
the environment snapshot Hermes builds once per session. Under systemd
or any context with a minimal parent env, that surfaces as
'node: command not found' in the terminal tool even though the binary
is reachable from every interactive shell on the machine.
Changes:
- tools/environments/local.py: before the login-shell snapshot bootstrap
runs, prepend guarded 'source <file>' lines for each resolved init
file. Missing files are skipped, each source is wrapped with a
'[ -r ... ] && . ... || true' guard so a broken rc can't abort the
bootstrap.
- hermes_cli/config.py: new terminal.shell_init_files (explicit list,
supports ~ and ${VAR}) and terminal.auto_source_bashrc (default on)
knobs. When shell_init_files is set it takes precedence; when it's
empty and auto_source_bashrc is on, ~/.bashrc gets auto-sourced.
- tests/tools/test_local_shell_init.py: 10 tests covering the resolver
(auto-bashrc, missing file, explicit override, ~/${VAR} expansion,
opt-out) and the prelude builder (quoting, guarded sourcing), plus
a real-LocalEnvironment snapshot test that confirms exports in the
init file land in subsequent commands' environment.
- website/docs/reference/faq.md: documents the fix in Troubleshooting,
including the zsh-user pattern of sourcing ~/.zshrc or nvm.sh
directly via shell_init_files.
Validation: 10/10 new tests pass; tests/tools/test_local_*.py 40/40
pass; tests/agent/ 1591/1591 pass; tests/hermes_cli/test_config.py
50/50 pass. E2E in an isolated HERMES_HOME: confirmed that a fake
~/.bashrc setting a marker var and PATH addition shows up in a real
LocalEnvironment().execute() call, that auto_source_bashrc=false
suppresses it, that an explicit shell_init_files entry wins over the
auto default, and that a missing bashrc is silently skipped.
Catalog snapshots, config version literals, and enumeration counts are data
that changes as designed. Tests that assert on those values add no
behavioral coverage — they just break CI on every routine update and cost
engineering time to 'fix.'
Replace with invariants where one exists, delete where none does.
Deleted (pure snapshots):
- TestMinimaxModelCatalog (3 tests): 'MiniMax-M2.7 in models' et al
- TestGeminiModelCatalog: 'gemini-2.5-pro in models', 'gemini-3.x in models'
- test_browser_camofox_state::test_config_version_matches_current_schema
(docstring literally said it would break on unrelated bumps)
Relaxed (keep plumbing check, drop snapshot):
- Xiaomi / Arcee / Kimi moonshot / Kimi coding / HuggingFace static lists:
now assert 'provider exists and has >= 1 entry' instead of specific names
- HuggingFace main/models.py consistency test: drop 'len >= 6' floor
Dynamicized (follow source, not a literal):
- 3x test_config.py migration tests: raw['_config_version'] ==
DEFAULT_CONFIG['_config_version'] instead of hardcoded 21
Fixed stale tests against intentional behavior changes:
- test_insights::test_gateway_format_hides_cost: name matches new behavior
(no dollar figures); remove contradicting '$' in text assertion
- test_config::prefers_api_then_url_then_base_url: flipped per PR #9332;
rename + update to base_url > url > api
- test_anthropic_adapter: relax assert_called_once() (xdist-flaky) to
assert called — contract is 'credential flowed through'
- test_interrupt_propagation: add provider/model/_base_url to bare-agent
fixture so the stale-timeout code path resolves
Fixed stale integration tests against opt-in plugin gate:
- transform_tool_result + transform_terminal_output: write plugins.enabled
allow-list to config.yaml and reset the plugin manager singleton
Source fix (real consistency invariant):
- agent/model_metadata.py: add moonshotai/Kimi-K2.6 context length
(262144, same as K2.5). test_model_metadata_has_context_lengths was
correctly catching the gap.
Policy:
- AGENTS.md Testing section: new subsection 'Don't write change-detector
tests' with do/don't examples. Reviewers should reject catalog-snapshot
assertions in new tests.
Covers every test that failed on the last completed main CI run
(24703345583) except test_modal_sandbox_fixes::test_terminal_tool_present
+ test_terminal_and_file_toolsets_resolve_all_tools, which now pass both
alone and with the full tests/tools/ directory (xdist ordering flake that
resolved itself).
Add agent/transports/types.py with three shared dataclasses:
- NormalizedResponse: content, tool_calls, finish_reason, reasoning, usage, provider_data
- ToolCall: id, name, arguments, provider_data (per-tool-call protocol metadata)
- Usage: prompt_tokens, completion_tokens, total_tokens, cached_tokens
Add normalize_anthropic_response_v2() to anthropic_adapter.py — wraps the
existing v1 function and maps its output to NormalizedResponse. One call site
in run_agent.py (the main normalize branch) uses v2 with a back-compat shim
to SimpleNamespace for downstream code.
No ABC, no registry, no streaming, no client lifecycle. Those land in PR 3
with the first concrete transport (AnthropicTransport).
46 new tests:
- test_types.py: dataclass construction, build_tool_call, map_finish_reason
- test_anthropic_normalize_v2.py: v1-vs-v2 regression tests (text, tools,
thinking, mixed, stop reasons, mcp prefix stripping, edge cases)
Part of the provider transport refactor (PR 2 of 9).
Classic-CLI /steer typed during an active agent run was queued through
self._pending_input alongside ordinary user input. process_loop, which
drains that queue, is blocked inside self.chat() for the entire run,
so the queued command was not pulled until AFTER _agent_running had
flipped back to False — at which point process_command() took the idle
fallback ("No agent running; queued as next turn") and delivered the
steer as an ordinary next-turn user message.
From Utku's bug report on PR #13205: mid-run /steer arrived minutes
later at the end of the turn as a /queue-style message, completely
defeating its purpose.
Fix: add _should_handle_steer_command_inline() gating — when
_agent_running is True and the user typed /steer, dispatch
process_command(text) directly from the prompt_toolkit Enter handler
on the UI thread instead of queueing. This mirrors the existing
_should_handle_model_command_inline() pattern for /model and is
safe because agent.steer() is thread-safe (uses _pending_steer_lock,
no prompt_toolkit state mutation, instant return).
No changes to the idle-path behavior: /steer typed with no active
agent still takes the normal queue-and-drain route so the fallback
"No agent running; queued as next turn" message is preserved.
Validation:
- 7 new unit tests in tests/cli/test_cli_steer_busy_path.py covering
the detector, dispatch path, and idle-path control behavior.
- All 21 existing tests in tests/run_agent/test_steer.py still pass.
- Live PTY end-to-end test with real agent + real openrouter model:
22:36:22 API call #1 (model requested execute_code)
22:36:26 ENTER FIRED: agent_running=True, text='/steer ...'
22:36:26 INLINE STEER DISPATCH fired
22:36:43 agent.log: 'Delivered /steer to agent after tool batch'
22:36:44 API call #2 included the steer; response contained marker
Same test on the tip of main without this fix shows the steer
landing as a new user turn ~20s after the run ended.
Delete the stale literal `_PROVIDER_MODELS["ai-gateway"]` (gpt-5,
gemini-2.5-pro, claude-4.5 — outdated the moment PR #13223 landed with
its curated `AI_GATEWAY_MODELS` snapshot) and derive it from
`AI_GATEWAY_MODELS` instead, so the picker tuples and the bare-id
fallback catalog stay in sync automatically. Also fixes
`get_default_model_for_provider('ai-gateway')` to return kimi-k2.6
(the curated recommendation) instead of claude-opus-4.6.
The mid-run steer marker was '[USER STEER (injected mid-run, not tool
output): <text>]'. Replaced with a plain two-newline-prefixed
'User guidance: <text>' suffix.
Rationale: the marker lives inside the tool result's content string
regardless of whether the tool returned JSON, plain text, an MCP
result, or a plugin result. The bracketed tag read like structured
metadata that some tools (terminal, execute_code) could confuse with
their own output formatting. A plain labelled suffix works uniformly
across every content shape we produce.
Behavior unchanged:
- Still injected into the last tool-role message's content.
- Still preserves multimodal (Anthropic) content-block lists by
appending a text block.
- Still drained at both sites added in #12959 and #13205 — per-tool
drain between individual calls, and pre-API-call drain at the top
of each main-loop iteration.
Checked Codex's equivalent (pending_input / inject_user_message_without_turn
in codex-rs/core): they record mid-turn user input as a real role:user
message via record_user_prompt_and_emit_turn_item(). That's cleaner for
their Responses-API model but not portable to Chat Completions where
role alternation after tool_calls is strict. Embedding the guidance in
the last tool result remains the correct placement for us.
Validation: all 21 tests in tests/run_agent/test_steer.py pass.
Aslaaen's fix in the original PR covered _detect_api_mode_for_url and the
two openai/xai sites in run_agent.py. This finishes the sweep: the same
substring-match false-positive class (e.g. https://api.openai.com.evil/v1,
https://proxy/api.openai.com/v1, https://api.anthropic.com.example/v1)
existed in eight more call sites, and the hostname helper was duplicated
in two modules.
- utils: add shared base_url_hostname() (single source of truth).
- hermes_cli/runtime_provider, run_agent: drop local duplicates, import
from utils. Reuse the cached AIAgent._base_url_hostname attribute
everywhere it's already populated.
- agent/auxiliary_client: switch codex-wrap auto-detect, max_completion_tokens
gate (auxiliary_max_tokens_param), and custom-endpoint max_tokens kwarg
selection to hostname equality.
- run_agent: native-anthropic check in the Claude-style model branch
and in the AIAgent init provider-auto-detect branch.
- agent/model_metadata: Anthropic /v1/models context-length lookup.
- hermes_cli/providers.determine_api_mode: anthropic / openai URL
heuristics for custom/unknown providers (the /anthropic path-suffix
convention for third-party gateways is preserved).
- tools/delegate_tool: anthropic detection for delegated subagent
runtimes.
- hermes_cli/setup, hermes_cli/tools_config: setup-wizard vision-endpoint
native-OpenAI detection (paired with deduping the repeated check into
a single is_native_openai boolean per branch).
Tests:
- tests/test_base_url_hostname.py covers the helper directly
(path-containing-host, host-suffix, trailing dot, port, case).
- tests/hermes_cli/test_determine_api_mode_hostname.py adds the same
regression class for determine_api_mode, plus a test that the
/anthropic third-party gateway convention still wins.
Also: add asslaenn5@gmail.com → Aslaaen to scripts/release.py AUTHOR_MAP.
Load-time sanitizer silently removed non-ASCII codepoints from any
env var ending in _API_KEY / _TOKEN / _SECRET / _KEY, turning
copy-paste artifacts (Unicode lookalikes, ZWSP, NBSP) into opaque
provider-side API_KEY_INVALID errors.
Warn once per key to stderr with the offending codepoints (U+XXXX)
and guidance to re-copy from the provider dashboard.
When the live Vercel AI Gateway catalog exposes a Moonshot model with
zero input AND output pricing, it's promoted to position #1 as the
recommended default — even if the exact ID isn't in the curated
AI_GATEWAY_MODELS list. This enables dynamic discovery of new free
Moonshot variants without requiring a PR to update curation.
Paid Moonshot models are unaffected; falls back to the normal curated
recommended tag when no free Moonshot is live.
- Curated AI_GATEWAY_MODELS list in hermes_cli/models.py (OSS first,
kimi-k2.5 as recommended default).
- fetch_ai_gateway_models() filters the curated list against the live
/v1/models catalog; falls back to the snapshot on network failure.
- fetch_ai_gateway_pricing() translates Vercel's input/output field
names to the prompt/completion shape the shared picker expects;
carries input_cache_read / input_cache_write through unchanged.
- get_pricing_for_provider() now handles ai-gateway.
- _model_flow_ai_gateway() provides a guided URL prompt when no key
is set and a pricing-column picker; routes ai-gateway to it instead
of the generic api-key flow.
Requests through Vercel AI Gateway now carry referrerUrl / appName /
User-Agent attribution so traffic shows up in the gateway's analytics.
Adds _AI_GATEWAY_HEADERS in auxiliary_client and a new
ai-gateway.vercel.sh branch in _apply_client_headers_for_base_url.
Users can declare shell scripts in config.yaml under a hooks: block that
fire on plugin-hook events (pre_tool_call, post_tool_call, pre_llm_call,
subagent_stop, etc). Scripts receive JSON on stdin, can return JSON on
stdout to block tool calls or inject context pre-LLM.
Key design:
- Registers closures on existing PluginManager._hooks dict — zero changes
to invoke_hook() call sites
- subprocess.run(shell=False) via shlex.split — no shell injection
- First-use consent per (event, command) pair, persisted to allowlist JSON
- Bypass via --accept-hooks, HERMES_ACCEPT_HOOKS=1, or hooks_auto_accept
- hermes hooks list/test/revoke/doctor CLI subcommands
- Adds subagent_stop hook event fired after delegate_task children exit
- Claude Code compatible response shapes accepted
Cherry-picked from PR #13143 by @pefontana.
Pass the user's configured api_key through local-server detection and
context-length probes (detect_local_server_type, _query_local_context_length,
query_ollama_num_ctx) and use LM Studio's native /api/v1/models endpoint in
fetch_endpoint_model_metadata when a loaded instance is present — so the
probed context length is the actual runtime value the user loaded the model
at, not just the model's theoretical max.
Helps local-LLM users whose auto-detected context length was wrong, causing
compression failures and context-overrun crashes.
When /steer is sent during an API call (model thinking), the steer text
sits in _pending_steer until after the next tool batch — which may never
come if the model returns a final response. In that case the steer is
only delivered as a post-run follow-up, defeating the purpose.
Add a pre-API-call drain at the top of the main loop: before building
api_messages, check _pending_steer and inject into the last tool result
in the messages list. This ensures steers sent during model thinking are
visible on the very next API call.
If no tool result exists yet (first iteration), the steer is restashed
for the post-tool drain to pick up — injecting into a user message would
break role alternation.
Three new tests cover the pre-API-call drain: injection into last tool
result, restash when no tool message exists, and backward scan past
non-tool messages.
- Fix duplicate 'timezone' import in e2e conftest
- Fix test_text_before_command_not_detected asserting send() is awaited
when no agent is present in mock setup (text messages don't produce
command output)
Cherry-picked from PR #13159 by @cdanis.
Adds native media attachment delivery to Signal via signal-cli JSON-RPC
attachments param. Signal messages with media now follow the same
early-return pattern as Telegram/Discord/Matrix — attachments are sent
only with the last chunk to avoid duplicates.
Follow-up fixes on top of the original PR:
- Moved Signal into its own early-return block above the restriction
check (matches Telegram/Discord/Matrix pattern)
- Fixed media_files being sent on every chunk in the generic loop
- Restored restriction/warning guards to simple form (Signal exits early)
- Fixed non-hermetic test writing to /tmp instead of tmp_path
Kimi's gateway selects the correct temperature server-side based on the
active mode (thinking -> 1.0, non-thinking -> 0.6). Sending any
temperature value — even the previously "correct" one — conflicts with
gateway-managed defaults.
Replaces the old approach of forcing specific temperature values (0.6
for non-thinking, 1.0 for thinking) with an OMIT_TEMPERATURE sentinel
that tells all call sites to strip the temperature key from API kwargs
entirely.
Changes:
- agent/auxiliary_client.py: OMIT_TEMPERATURE sentinel, _is_kimi_model()
prefix check (covers all kimi-* models), _fixed_temperature_for_model()
returns sentinel for kimi models. _build_call_kwargs() strips temp.
- run_agent.py: _build_api_kwargs, flush_memories, and summary generation
paths all handle the sentinel by popping/omitting temperature.
- trajectory_compressor.py: _effective_temperature_for_model returns None
for kimi (sentinel mapped), direct client calls use kwargs dict to
conditionally include temperature.
- mini_swe_runner.py: same sentinel handling via wrapper function.
- 6 test files updated: all 'forces temperature X' assertions replaced
with 'temperature not in kwargs' assertions.
Net: -76 lines (171 added, 247 removed).
Inspired by PR #13137 (@kshitijk4poor).
Add dm_policy and group_policy to the WhatsApp adapter, bringing parity
with WeCom/Weixin/QQ. Allows independent control of DM and group access:
disable DMs entirely, allowlist specific senders/groups, or keep open.
- dm_policy: open (default) | allowlist | disabled
- group_policy: open (default) | allowlist | disabled
- Config bridging for YAML → env vars
- 22 tests covering all policy combinations
Backward compatible — defaults preserve existing behavior.
Cherry-picked from PR #11597 by @MassiveMassimo.
Dropped the run.py group auth bypass (would have skipped user auth
for ALL platforms, not just WhatsApp).
Replaces the serial for-loop in tick() with ThreadPoolExecutor so all
jobs due in a single tick run concurrently. A slow job no longer blocks
others from executing, fixing silent job skipping (issue #9086).
Thread safety:
- Session/delivery env vars migrated from os.environ to ContextVars
(gateway/session_context.py) so parallel jobs can't clobber each
other's delivery targets. Each thread gets its own copied context.
- jobs.json read-modify-write cycles (advance_next_run, mark_job_run)
protected by threading.Lock to prevent concurrent save clobber.
- send_message_tool reads delivery vars via get_session_env() for
ContextVar-aware resolution with os.environ fallback.
Configuration:
- cron.max_parallel_jobs in config.yaml (null = unbounded, 1 = serial)
- HERMES_CRON_MAX_PARALLEL env var override
Based on PR #9169 by @VenomMoth1.
Fixes#9086
* feat(security): URL query param + userinfo + form body redaction
Port from nearai/ironclaw#2529.
Hermes already has broad value-shape coverage in agent/redact.py
(30+ vendor prefixes, JWTs, DB connstrs, etc.) but missed three
key-name-based patterns that catch opaque tokens without recognizable
prefixes:
1. URL query params - OAuth callback codes (?code=...),
access_token, refresh_token, signature, etc. These are opaque and
won't match any prefix regex. Now redacted by parameter NAME.
2. URL userinfo (https://user:pass@host) - for non-DB schemes. DB
schemes were already handled by _DB_CONNSTR_RE.
3. Form-urlencoded body (k=v pairs joined by ampersands) -
conservative, only triggers on clean pure-form inputs with no
other text.
Sensitive key allowlist matches ironclaw's (exact case-insensitive,
NOT substring - so token_count and session_id pass through).
Tests: +20 new test cases across 3 test classes. All 75 redact tests
pass; gateway/test_pii_redaction and tools/test_browser_secret_exfil
also green.
Known pre-existing limitation: _ENV_ASSIGN_RE greedy match swallows
whole all-caps ENV-style names + trailing text when followed by
another assignment. Left untouched here (out of scope); URL query
redaction handles the lowercase case.
* feat: replace kimi-k2.5 with kimi-k2.6 on OpenRouter and Nous Portal
Update model catalogs for OpenRouter (fallback snapshot), Nous Portal,
and NVIDIA NIM to reference moonshotai/kimi-k2.6. Add kimi-k2.6 to
the fixed-temperature frozenset in auxiliary_client.py so the 0.6
contract is enforced on aggregator routings.
Native Moonshot provider lists (kimi-coding, kimi-coding-cn, moonshot,
opencode-zen, opencode-go) are unchanged — those use Moonshot's own
model IDs which are unaffected.
Cherry-picked from PR #2545 by @Mibayy.
The setup wizard could leave stt.model: "whisper-1" in config.yaml.
When using the local faster-whisper provider, this crashed with
"Invalid model size 'whisper-1'". Voice messages were silently ignored.
_normalize_local_model() now detects cloud-only names (whisper-1,
gpt-4o-transcribe, etc.) and maps them to the default local model
with a warning. Valid local sizes (tiny, base, small, medium, large-v3)
pass through unchanged.
- Renamed _normalize_local_command_model -> _normalize_local_model
(backward-compat wrapper preserved)
- 6 new tests including integration test
- Added lowercase AUTHOR_MAP alias for @Mibayy
Closes#2544
Prefer session_store origin over _parse_session_key() for shutdown
notifications. Fixes misrouting when chat identifiers contain colons
(e.g. Matrix room IDs like !room123:example.org).
Falls back to session-key parsing when no persisted origin exists.
Co-authored-by: Ruzzgar <ruzzgarcn@gmail.com>
Ref: #12766
Follow-up for PR #12252 salvage:
- Extract 75-line inline repair block to _repair_tool_call_arguments()
module-level helper for testability and readability
- Remove redundant 'import re as _re' (re already imported at line 33)
- Bound the while-True excess-delimiter removal loop to 50 iterations
- Add 17 tests covering all 6 repair stages
- Add sirEven to AUTHOR_MAP in release.py
Cherry-picked from PR #12481 by @Sanjays2402.
Reasoning models (GLM-5.1, QwQ, DeepSeek R1) inflate completion_tokens
with internal thinking tokens. The compression trigger summed
prompt_tokens + completion_tokens, causing premature compression at ~42%
actual context usage instead of the configured 50% threshold.
Now uses only prompt_tokens — completion tokens don't consume context
window space for the next API call.
- 3 new regression tests
- Added AUTHOR_MAP entry for @Sanjays2402
Closes#12026
The opt-in-by-default change (70111eea) requires plugins to be listed
in plugins.enabled. The cherry-picked test fixtures didn't write this
config, so two tests failed on current main.
- discover plugin commands before building Telegram command menus
- make plugin command and context engine accessors lazy-load plugins
- add regression coverage for Telegram menu and plugin lookup paths
